diff --git a/.github/workflows/unittests.yml b/.github/workflows/testing.yml similarity index 79% rename from .github/workflows/unittests.yml rename to .github/workflows/testing.yml index 95aad80b..6b6592ae 100644 --- a/.github/workflows/unittests.yml +++ b/.github/workflows/testing.yml @@ -1,3 +1,5 @@ + name: Continuous Integration + on: push: branches: @@ -9,12 +11,12 @@ - cron: '59 23 * * *' jobs: - unittests: + tests: name: ${{ matrix.os }}, ${{ matrix.environment-file }} runs-on: ${{ matrix.os }} timeout-minutes: 30 env: - RUN_TEST: pytest spopt --cov spopt -v -n auto --cov-config .coveragerc --cov-report xml --color yes --cov-append --cov-report term-missing + RUN_TEST: pytest spopt -v -r a -n auto --cov spopt --cov-config .coveragerc --cov-report xml --color yes --cov-append --cov-report term-missing strategy: matrix: os: [ubuntu-latest] @@ -46,6 +48,16 @@ run: pip install git+https://github.com/pysal/libpysal.git@master if: matrix.os == 'ubuntu-latest' && contains(matrix.environment-file, 'DEV') + - name: environment info + shell: bash -l {0} + run: | + micromamba info + micromamba list + + - name: spatial versions + shell: bash -l {0} + run: 'python -c "import geopandas; geopandas.show_versions();"' + - name: run tests - bash shell: bash -l {0} run: ${{ env.RUN_TEST }} diff --git a/README.md b/README.md index a5e320aa..c3f61b11 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,7 @@ #### Regionalization, facility location, and transportation-oriented modeling ![tag](https://img.shields.io/github/v/release/pysal/spopt?include_prereleases&sort=semver) -[![unittests](https://github.com/pysal/spopt/workflows/.github/workflows/unittests.yml/badge.svg)](https://github.com/pysal/spopt/actions?query=workflow%3A.github%2Fworkflows%2Funittests.yml) +[![CI](https://github.com/pysal/spopt/workflows/.github/workflows/testing.yml/badge.svg)](https://github.com/pysal/spopt/actions?query=workflow%3A.github%2Fworkflows%testing.yml) [![codecov](https://codecov.io/gh/pysal/spopt/branch/main/graph/badge.svg)](https://codecov.io/gh/pysal/spopt) [![Documentation](https://img.shields.io/static/v1.svg?label=docs&message=current&color=9cf)](http://pysal.org/spopt/) [![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause) diff --git a/notebooks/facloc-lscpb-real-world.ipynb b/notebooks/facloc-lscpb-real-world.ipynb index b460bf13..d0fd9c03 100644 --- a/notebooks/facloc-lscpb-real-world.ipynb +++ b/notebooks/facloc-lscpb-real-world.ipynb @@ -17,8 +17,8 @@ "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:31.323660Z", - "start_time": "2022-10-23T04:25:31.281243Z" + "end_time": "2022-10-31T17:54:22.224681Z", + "start_time": "2022-10-31T17:54:22.187226Z" } }, "outputs": [ @@ -26,7 +26,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Last updated: 2022-10-23T00:25:31.310569-04:00\n", + "Last updated: 2022-10-31T13:54:22.214056-04:00\n", "\n", "Python implementation: CPython\n", "Python version : 3.10.6\n", @@ -34,7 +34,7 @@ "\n", "Compiler : Clang 13.0.1 \n", "OS : Darwin\n", - "Release : 21.6.0\n", + "Release : 22.1.0\n", "Machine : x86_64\n", "Processor : i386\n", "CPU cores : 8\n", @@ -54,8 +54,8 @@ "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:33.580578Z", - "start_time": "2022-10-23T04:25:31.328391Z" + "end_time": "2022-10-31T17:54:25.818885Z", + "start_time": "2022-10-31T17:54:22.229202Z" } }, "outputs": [ @@ -65,14 +65,14 @@ "text": [ "Watermark: 2.3.1\n", "\n", - "spopt : 0.4.1+200.g336f235.dirty\n", - "pulp : 2.6.0\n", - "shapely : 1.8.5\n", - "json : 2.0.9\n", - "matplotlib : 3.6.1\n", "matplotlib_scalebar: 0.8.1\n", + "shapely : 1.8.5\n", "pandas : 1.5.0\n", "geopandas : 0.11.1\n", + "spopt : 0.4.1+200.g336f235.dirty\n", + "json : 2.0.9\n", + "pulp : 2.6.0\n", + "matplotlib : 3.6.1\n", "\n" ] } @@ -117,8 +117,8 @@ "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:33.588543Z", - "start_time": "2022-10-23T04:25:33.584855Z" + "end_time": "2022-10-31T17:54:25.825301Z", + "start_time": "2022-10-31T17:54:25.822283Z" } }, "outputs": [], @@ -138,8 +138,8 @@ "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:33.618490Z", - "start_time": "2022-10-23T04:25:33.593262Z" + "end_time": "2022-10-31T17:54:25.849882Z", + "start_time": "2022-10-31T17:54:25.827472Z" } }, "outputs": [ @@ -294,8 +294,8 @@ "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:33.641072Z", - "start_time": "2022-10-23T04:25:33.621052Z" + "end_time": "2022-10-31T17:54:25.872456Z", + "start_time": "2022-10-31T17:54:25.852883Z" } }, "outputs": [ @@ -548,8 +548,8 @@ "execution_count": 6, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:33.656866Z", - "start_time": "2022-10-23T04:25:33.643772Z" + "end_time": "2022-10-31T17:54:25.883767Z", + "start_time": "2022-10-31T17:54:25.874409Z" } }, "outputs": [ @@ -740,8 +740,8 @@ "execution_count": 7, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:33.790500Z", - "start_time": "2022-10-23T04:25:33.659727Z" + "end_time": "2022-10-31T17:54:26.716031Z", + "start_time": "2022-10-31T17:54:25.886165Z" } }, "outputs": [ @@ -805,8 +805,8 @@ "execution_count": 8, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:33.930311Z", - "start_time": "2022-10-23T04:25:33.793252Z" + "end_time": "2022-10-31T17:54:26.838927Z", + "start_time": "2022-10-31T17:54:26.718705Z" } }, "outputs": [ @@ -845,8 +845,8 @@ "execution_count": 9, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:33.965788Z", - "start_time": "2022-10-23T04:25:33.933320Z" + "end_time": "2022-10-31T17:54:26.882174Z", + "start_time": "2022-10-31T17:54:26.841792Z" } }, "outputs": [ @@ -1207,8 +1207,8 @@ "execution_count": 10, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:33.977606Z", - "start_time": "2022-10-23T04:25:33.972247Z" + "end_time": "2022-10-31T17:54:26.890316Z", + "start_time": "2022-10-31T17:54:26.885254Z" } }, "outputs": [ @@ -1233,8 +1233,8 @@ "execution_count": 11, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:33.986771Z", - "start_time": "2022-10-23T04:25:33.980778Z" + "end_time": "2022-10-31T17:54:26.904403Z", + "start_time": "2022-10-31T17:54:26.898447Z" } }, "outputs": [ @@ -1267,8 +1267,8 @@ "execution_count": 12, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:33.993485Z", - "start_time": "2022-10-23T04:25:33.989741Z" + "end_time": "2022-10-31T17:54:26.910266Z", + "start_time": "2022-10-31T17:54:26.907174Z" } }, "outputs": [], @@ -1282,8 +1282,8 @@ "execution_count": 13, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:34.000939Z", - "start_time": "2022-10-23T04:25:33.996510Z" + "end_time": "2022-10-31T17:54:26.916785Z", + "start_time": "2022-10-31T17:54:26.913032Z" } }, "outputs": [], @@ -1298,8 +1298,8 @@ "execution_count": 14, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:34.015884Z", - "start_time": "2022-10-23T04:25:34.003645Z" + "end_time": "2022-10-31T17:54:26.932750Z", + "start_time": "2022-10-31T17:54:26.919649Z" } }, "outputs": [], @@ -1320,8 +1320,8 @@ "execution_count": 15, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:34.063420Z", - "start_time": "2022-10-23T04:25:34.018509Z" + "end_time": "2022-10-31T17:54:27.005131Z", + "start_time": "2022-10-31T17:54:26.935576Z" } }, "outputs": [], @@ -1343,8 +1343,8 @@ "execution_count": 16, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:34.068813Z", - "start_time": "2022-10-23T04:25:34.065996Z" + "end_time": "2022-10-31T17:54:27.010476Z", + "start_time": "2022-10-31T17:54:27.007387Z" } }, "outputs": [], @@ -1358,8 +1358,8 @@ "execution_count": 17, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:34.074677Z", - "start_time": "2022-10-23T04:25:34.071430Z" + "end_time": "2022-10-31T17:54:27.015129Z", + "start_time": "2022-10-31T17:54:27.012689Z" } }, "outputs": [], @@ -1379,8 +1379,8 @@ "execution_count": 18, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:34.158286Z", - "start_time": "2022-10-23T04:25:34.077334Z" + "end_time": "2022-10-31T17:54:27.094920Z", + "start_time": "2022-10-31T17:54:27.016603Z" } }, "outputs": [], @@ -1394,14 +1394,14 @@ "execution_count": 19, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:34.281520Z", - "start_time": "2022-10-23T04:25:34.161532Z" + "end_time": "2022-10-31T17:54:27.216478Z", + "start_time": "2022-10-31T17:54:27.098793Z" } }, "outputs": [], "source": [ "lscpb = LSCPB.from_cost_matrix(cost_matrix, SERVICE_RADIUS, solver)\n", - "lscpb = lscpb.solve(solver)" + "lscpb = lscpb.solve()" ] }, { @@ -1409,8 +1409,8 @@ "execution_count": 20, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:34.291210Z", - "start_time": "2022-10-23T04:25:34.284918Z" + "end_time": "2022-10-31T17:54:27.225068Z", + "start_time": "2022-10-31T17:54:27.219509Z" } }, "outputs": [ @@ -1418,7 +1418,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "The minimum number of facilites needed to achieve complete coverage within a distance units service radius of 8000 are 3.0 and 3.0 for the LSCP and LSCP-B, respectively. However, with the LSCP-B we observe coverage by more than one facility at 69.7560975609756% of client locations.\n" + "The minimum number of facilites needed to achieve complete coverage within a distance units service radius of 8000 are 3.0 and 3.0 for the LSCP and LSCP-B, respectively. However, with the LSCP-B we observe coverage by more than one facility at 69.756% of client locations.\n" ] } ], @@ -1426,7 +1426,7 @@ "lscp_obj = lscp.problem.objective.value()\n", "lscpb_obj = lscpb.problem.objective.value()\n", "lscpb_lscp = lscpb.lscp_obj_value\n", - "lscpb_perc = (lscpb_obj / len(lscpb.cli_vars)) * 100.\n", + "lscpb_perc = round(lscpb.backup_perc, 3)\n", "print(\n", " \"The minimum number of facilites needed to achieve complete \"\n", " f\"coverage within a distance units service radius of {SERVICE_RADIUS} \"\n", @@ -1448,8 +1448,8 @@ "execution_count": 21, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:34.312295Z", - "start_time": "2022-10-23T04:25:34.294484Z" + "end_time": "2022-10-31T17:54:27.243362Z", + "start_time": "2022-10-31T17:54:27.227882Z" } }, "outputs": [ @@ -1702,8 +1702,8 @@ "execution_count": 22, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:34.328151Z", - "start_time": "2022-10-23T04:25:34.314548Z" + "end_time": "2022-10-31T17:54:27.261908Z", + "start_time": "2022-10-31T17:54:27.246250Z" } }, "outputs": [ @@ -1956,8 +1956,8 @@ "execution_count": 23, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:34.406750Z", - "start_time": "2022-10-23T04:25:34.330294Z" + "end_time": "2022-10-31T17:54:27.332538Z", + "start_time": "2022-10-31T17:54:27.264181Z" } }, "outputs": [], @@ -1976,8 +1976,8 @@ "execution_count": 24, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:34.537037Z", - "start_time": "2022-10-23T04:25:34.409655Z" + "end_time": "2022-10-31T17:54:27.465164Z", + "start_time": "2022-10-31T17:54:27.335805Z" } }, "outputs": [], @@ -1989,7 +1989,7 @@ " predefined_facilities_arr=facility_points[\"predefined_loc\"].values,\n", " name=f\"LSCPB-predefined\"\n", ")\n", - "lscpb_pre = lscpb_pre.solve(solver)" + "lscpb_pre = lscpb_pre.solve()" ] }, { @@ -1997,8 +1997,8 @@ "execution_count": 25, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:34.545244Z", - "start_time": "2022-10-23T04:25:34.540046Z" + "end_time": "2022-10-31T17:54:27.473752Z", + "start_time": "2022-10-31T17:54:27.468409Z" } }, "outputs": [ @@ -2006,7 +2006,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "The minimum number of facilites needed to achieve complete coverage within a distance units service radius of 8000 are 4.0 and 4.0 for the LSCP and LSCP-B, respectively. However, with the LSCP-B we observe coverage by more than one facility at 87.8048780487805% of client locations.\n" + "The minimum number of facilites needed to achieve complete coverage within a distance units service radius of 8000 are 4.0 and 4.0 for the LSCP and LSCP-B, respectively. However, with the LSCP-B we observe coverage by more than one facility at 87.805% of client locations.\n" ] } ], @@ -2014,7 +2014,7 @@ "lscp_obj = lscp_pre.problem.objective.value()\n", "lscpb_obj = lscpb_pre.problem.objective.value()\n", "lscpb_lscp = lscpb_pre.lscp_obj_value\n", - "lscpb_perc = (lscpb_obj / len(lscpb_pre.cli_vars)) * 100.\n", + "lscpb_perc = round(lscpb_pre.backup_perc, 3)\n", "print(\n", " \"The minimum number of facilites needed to achieve complete \"\n", " f\"coverage within a distance units service radius of {SERVICE_RADIUS} \"\n", @@ -2036,8 +2036,8 @@ "execution_count": 26, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:34.554520Z", - "start_time": "2022-10-23T04:25:34.547724Z" + "end_time": "2022-10-31T17:54:27.484100Z", + "start_time": "2022-10-31T17:54:27.476811Z" } }, "outputs": [ @@ -2095,8 +2095,8 @@ "execution_count": 27, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:34.571712Z", - "start_time": "2022-10-23T04:25:34.557806Z" + "end_time": "2022-10-31T17:54:27.502355Z", + "start_time": "2022-10-31T17:54:27.487944Z" } }, "outputs": [], @@ -2203,8 +2203,8 @@ "execution_count": 28, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:35.440596Z", - "start_time": "2022-10-23T04:25:34.581966Z" + "end_time": "2022-10-31T17:54:28.344681Z", + "start_time": "2022-10-31T17:54:27.504564Z" } }, "outputs": [ @@ -2240,8 +2240,8 @@ "execution_count": 29, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:36.198037Z", - "start_time": "2022-10-23T04:25:35.442772Z" + "end_time": "2022-10-31T17:54:29.185371Z", + "start_time": "2022-10-31T17:54:28.346703Z" } }, "outputs": [ @@ -2270,8 +2270,8 @@ "execution_count": 30, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:37.075861Z", - "start_time": "2022-10-23T04:25:36.200044Z" + "end_time": "2022-10-31T17:54:29.973318Z", + "start_time": "2022-10-31T17:54:29.187881Z" } }, "outputs": [ @@ -2315,8 +2315,8 @@ "execution_count": 31, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:38.025317Z", - "start_time": "2022-10-23T04:25:37.078308Z" + "end_time": "2022-10-31T17:54:30.938891Z", + "start_time": "2022-10-31T17:54:29.976438Z" } }, "outputs": [ @@ -2354,8 +2354,8 @@ "execution_count": 32, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:38.981026Z", - "start_time": "2022-10-23T04:25:38.027666Z" + "end_time": "2022-10-31T17:54:31.811010Z", + "start_time": "2022-10-31T17:54:30.940910Z" } }, "outputs": [ @@ -2393,8 +2393,8 @@ "execution_count": 33, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:40.151037Z", - "start_time": "2022-10-23T04:25:38.983830Z" + "end_time": "2022-10-31T17:54:32.801884Z", + "start_time": "2022-10-31T17:54:31.813292Z" } }, "outputs": [ @@ -2440,8 +2440,8 @@ "execution_count": 34, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:40.192520Z", - "start_time": "2022-10-23T04:25:40.153728Z" + "end_time": "2022-10-31T17:54:32.914145Z", + "start_time": "2022-10-31T17:54:32.804646Z" } }, "outputs": [ @@ -2475,8 +2475,8 @@ "execution_count": 35, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:40.930604Z", - "start_time": "2022-10-23T04:25:40.196614Z" + "end_time": "2022-10-31T17:54:33.984537Z", + "start_time": "2022-10-31T17:54:32.917487Z" } }, "outputs": [ @@ -2511,31 +2511,31 @@ " GLPK_CMD\n", " 3\n", " 69.756\n", - " 0.029364\n", + " 0.024521\n", " \n", " \n", " CPLEX_CMD\n", " 3.0\n", " 69.756\n", - " 0.04284\n", + " 0.050397\n", " \n", " \n", " PULP_CBC_CMD\n", " 3.0\n", " 69.756\n", - " 0.027403\n", + " 0.029743\n", " \n", " \n", " COIN_CMD\n", " 3.0\n", " 69.756\n", - " 0.047443\n", + " 0.049949\n", " \n", " \n", " SCIP_CMD\n", " 3.0\n", " 69.756\n", - " 0.056508\n", + " 0.052523\n", " \n", " \n", "\n", @@ -2543,11 +2543,11 @@ ], "text/plain": [ " Solution Facilities Backup % Solve Time (sec.)\n", - "GLPK_CMD 3 69.756 0.029364\n", - "CPLEX_CMD 3.0 69.756 0.04284\n", - "PULP_CBC_CMD 3.0 69.756 0.027403\n", - "COIN_CMD 3.0 69.756 0.047443\n", - "SCIP_CMD 3.0 69.756 0.056508" + "GLPK_CMD 3 69.756 0.024521\n", + "CPLEX_CMD 3.0 69.756 0.050397\n", + "PULP_CBC_CMD 3.0 69.756 0.029743\n", + "COIN_CMD 3.0 69.756 0.049949\n", + "SCIP_CMD 3.0 69.756 0.052523" ] }, "execution_count": 35, @@ -2561,7 +2561,7 @@ ")\n", "for solver in solvers:\n", " _solver = pulp.get_solver(solver, msg=False)\n", - " lscpb = LSCPB.from_cost_matrix(cost_matrix, SERVICE_RADIUS, _solver).solve(_solver)\n", + " lscpb = LSCPB.from_cost_matrix(cost_matrix, SERVICE_RADIUS, _solver).solve()\n", " lscpb_perc = round((lscpb.problem.objective.value() / len(lscpb.cli_vars)) * 100., 3)\n", " results.loc[solver] = [lscpb.lscp_obj_value, lscpb_perc, lscpb.problem.solutionTime]\n", "results" @@ -2585,7 +2585,7 @@ "hash": "56b72aab97c5d88c22a6bf5872989e2e65e9296dc12395fbfb8350007c775deb" }, "kernelspec": { - "display_name": "Python [conda env:py310_spopt] *", + "display_name": "Python [conda env:py310_spopt]", "language": "python", "name": "conda-env-py310_spopt-py" }, diff --git a/notebooks/facloc-real-world.ipynb b/notebooks/facloc-real-world.ipynb index af91e7f0..bc24edae 100644 --- a/notebooks/facloc-real-world.ipynb +++ b/notebooks/facloc-real-world.ipynb @@ -18,8 +18,8 @@ "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:39.842025Z", - "start_time": "2022-10-23T04:25:39.797505Z" + "end_time": "2022-10-31T16:42:32.683301Z", + "start_time": "2022-10-31T16:42:32.642795Z" } }, "outputs": [ @@ -27,7 +27,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Last updated: 2022-10-23T00:25:39.824720-04:00\n", + "Last updated: 2022-10-31T12:42:32.671695-04:00\n", "\n", "Python implementation: CPython\n", "Python version : 3.10.6\n", @@ -35,7 +35,7 @@ "\n", "Compiler : Clang 13.0.1 \n", "OS : Darwin\n", - "Release : 21.6.0\n", + "Release : 22.1.0\n", "Machine : x86_64\n", "Processor : i386\n", "CPU cores : 8\n", @@ -55,8 +55,8 @@ "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:41.676208Z", - "start_time": "2022-10-23T04:25:39.845903Z" + "end_time": "2022-10-31T16:42:34.767063Z", + "start_time": "2022-10-31T16:42:32.686312Z" } }, "outputs": [ @@ -66,15 +66,15 @@ "text": [ "Watermark: 2.3.1\n", "\n", - "geopandas : 0.11.1\n", - "spopt : 0.4.1+200.g336f235.dirty\n", - "pulp : 2.6.0\n", - "matplotlib : 3.6.1\n", + "numpy : 1.23.3\n", + "pandas : 1.5.0\n", "json : 2.0.9\n", + "matplotlib : 3.6.1\n", + "pulp : 2.6.0\n", "matplotlib_scalebar: 0.8.1\n", + "geopandas : 0.11.1\n", + "spopt : 0.4.1+200.g336f235.dirty\n", "shapely : 1.8.5\n", - "pandas : 1.5.0\n", - "numpy : 1.23.3\n", "\n" ] } @@ -118,8 +118,8 @@ "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:41.684005Z", - "start_time": "2022-10-23T04:25:41.680700Z" + "end_time": "2022-10-31T16:42:34.774263Z", + "start_time": "2022-10-31T16:42:34.771779Z" } }, "outputs": [], @@ -139,8 +139,8 @@ "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:41.714388Z", - "start_time": "2022-10-23T04:25:41.687185Z" + "end_time": "2022-10-31T16:42:34.802343Z", + "start_time": "2022-10-31T16:42:34.779139Z" } }, "outputs": [ @@ -295,8 +295,8 @@ "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:41.737673Z", - "start_time": "2022-10-23T04:25:41.717370Z" + "end_time": "2022-10-31T16:42:34.819044Z", + "start_time": "2022-10-31T16:42:34.804354Z" } }, "outputs": [ @@ -549,8 +549,8 @@ "execution_count": 6, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:41.756451Z", - "start_time": "2022-10-23T04:25:41.740856Z" + "end_time": "2022-10-31T16:42:34.830059Z", + "start_time": "2022-10-31T16:42:34.820650Z" } }, "outputs": [ @@ -741,8 +741,8 @@ "execution_count": 7, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:41.891759Z", - "start_time": "2022-10-23T04:25:41.759242Z" + "end_time": "2022-10-31T16:42:34.989205Z", + "start_time": "2022-10-31T16:42:34.831730Z" } }, "outputs": [ @@ -806,8 +806,8 @@ "execution_count": 8, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:42.025148Z", - "start_time": "2022-10-23T04:25:41.894554Z" + "end_time": "2022-10-31T16:42:35.140727Z", + "start_time": "2022-10-31T16:42:34.992092Z" } }, "outputs": [ @@ -846,8 +846,8 @@ "execution_count": 9, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:42.057570Z", - "start_time": "2022-10-23T04:25:42.027742Z" + "end_time": "2022-10-31T16:42:35.173316Z", + "start_time": "2022-10-31T16:42:35.143378Z" } }, "outputs": [ @@ -1208,8 +1208,8 @@ "execution_count": 10, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:42.064472Z", - "start_time": "2022-10-23T04:25:42.060055Z" + "end_time": "2022-10-31T16:42:35.185492Z", + "start_time": "2022-10-31T16:42:35.181226Z" } }, "outputs": [ @@ -1234,8 +1234,8 @@ "execution_count": 11, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:42.078675Z", - "start_time": "2022-10-23T04:25:42.073926Z" + "end_time": "2022-10-31T16:42:35.192771Z", + "start_time": "2022-10-31T16:42:35.187748Z" } }, "outputs": [ @@ -1268,8 +1268,8 @@ "execution_count": 12, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:42.084949Z", - "start_time": "2022-10-23T04:25:42.081830Z" + "end_time": "2022-10-31T16:42:35.198015Z", + "start_time": "2022-10-31T16:42:35.195576Z" } }, "outputs": [], @@ -1283,8 +1283,8 @@ "execution_count": 13, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:42.091289Z", - "start_time": "2022-10-23T04:25:42.087638Z" + "end_time": "2022-10-31T16:42:35.204482Z", + "start_time": "2022-10-31T16:42:35.200511Z" } }, "outputs": [], @@ -1299,8 +1299,8 @@ "execution_count": 14, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:42.105992Z", - "start_time": "2022-10-23T04:25:42.093944Z" + "end_time": "2022-10-31T16:42:35.217019Z", + "start_time": "2022-10-31T16:42:35.206931Z" } }, "outputs": [], @@ -1321,8 +1321,8 @@ "execution_count": 15, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:42.154898Z", - "start_time": "2022-10-23T04:25:42.108428Z" + "end_time": "2022-10-31T16:42:35.256864Z", + "start_time": "2022-10-31T16:42:35.219352Z" } }, "outputs": [], @@ -1346,8 +1346,8 @@ "execution_count": 16, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:42.161788Z", - "start_time": "2022-10-23T04:25:42.157823Z" + "end_time": "2022-10-31T16:42:35.262270Z", + "start_time": "2022-10-31T16:42:35.259037Z" } }, "outputs": [], @@ -1373,8 +1373,8 @@ "execution_count": 17, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:42.172347Z", - "start_time": "2022-10-23T04:25:42.165311Z" + "end_time": "2022-10-31T16:42:35.270774Z", + "start_time": "2022-10-31T16:42:35.264997Z" } }, "outputs": [ @@ -1432,8 +1432,8 @@ "execution_count": 18, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:42.192264Z", - "start_time": "2022-10-23T04:25:42.175212Z" + "end_time": "2022-10-31T16:42:35.288548Z", + "start_time": "2022-10-31T16:42:35.273411Z" } }, "outputs": [], @@ -1540,8 +1540,8 @@ "execution_count": 19, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:42.276669Z", - "start_time": "2022-10-23T04:25:42.196321Z" + "end_time": "2022-10-31T16:42:35.355834Z", + "start_time": "2022-10-31T16:42:35.291063Z" } }, "outputs": [ @@ -1576,16 +1576,14 @@ "execution_count": 20, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:42.286639Z", - "start_time": "2022-10-23T04:25:42.279330Z" + "end_time": "2022-10-31T16:42:35.364710Z", + "start_time": "2022-10-31T16:42:35.359318Z" } }, "outputs": [], "source": [ "facility_points[\"dv\"] = lscp.fac_vars\n", - "facility_points[\"dv\"] = facility_points[\"dv\"].map(\n", - " lambda x: x.name.replace(\"_\", \"\").replace(\"x\", \"y\")\n", - ")\n", + "facility_points[\"dv\"] = facility_points[\"dv\"].map(lambda x: x.name.replace(\"_\", \"\"))\n", "facility_points[\"predefined_loc\"] = 0" ] }, @@ -1594,8 +1592,8 @@ "execution_count": 21, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:43.655588Z", - "start_time": "2022-10-23T04:25:42.289245Z" + "end_time": "2022-10-31T16:42:36.810285Z", + "start_time": "2022-10-31T16:42:35.366803Z" } }, "outputs": [ @@ -1633,8 +1631,8 @@ "execution_count": 22, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:43.755899Z", - "start_time": "2022-10-23T04:25:43.657793Z" + "end_time": "2022-10-31T16:42:36.885393Z", + "start_time": "2022-10-31T16:42:36.813010Z" } }, "outputs": [ @@ -1670,15 +1668,15 @@ "execution_count": 23, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:43.764686Z", - "start_time": "2022-10-23T04:25:43.759934Z" + "end_time": "2022-10-31T16:42:36.893707Z", + "start_time": "2022-10-31T16:42:36.888237Z" } }, "outputs": [ { "data": { "text/plain": [ - "0.8975609756097561" + "89.75609756097562" ] }, "execution_count": 23, @@ -1687,8 +1685,7 @@ } ], "source": [ - "mclp.get_percentage()\n", - "mclp.percentage" + "mclp.perc_cov" ] }, { @@ -1696,8 +1693,8 @@ "execution_count": 24, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:44.667879Z", - "start_time": "2022-10-23T04:25:43.767038Z" + "end_time": "2022-10-31T16:42:37.699256Z", + "start_time": "2022-10-31T16:42:36.895616Z" } }, "outputs": [ @@ -1734,8 +1731,8 @@ "execution_count": 25, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:45.123638Z", - "start_time": "2022-10-23T04:25:44.670157Z" + "end_time": "2022-10-31T16:42:38.139636Z", + "start_time": "2022-10-31T16:42:37.701575Z" } }, "outputs": [ @@ -1761,7 +1758,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "$p$-median mean distance" + "$p$-median mean weighted distance" ] }, { @@ -1769,8 +1766,8 @@ "execution_count": 26, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:45.132932Z", - "start_time": "2022-10-23T04:25:45.126751Z" + "end_time": "2022-10-31T16:42:38.147276Z", + "start_time": "2022-10-31T16:42:38.142841Z" } }, "outputs": [ @@ -1786,7 +1783,6 @@ } ], "source": [ - "pmedian.get_mean_distance(weight=ai)\n", "pmedian.mean_dist" ] }, @@ -1795,8 +1791,8 @@ "execution_count": 27, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:25:45.960342Z", - "start_time": "2022-10-23T04:25:45.135418Z" + "end_time": "2022-10-31T16:42:38.897301Z", + "start_time": "2022-10-31T16:42:38.149397Z" } }, "outputs": [ @@ -1835,8 +1831,8 @@ "execution_count": 28, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:26:11.247627Z", - "start_time": "2022-10-23T04:25:45.961843Z" + "end_time": "2022-10-31T16:43:01.773159Z", + "start_time": "2022-10-31T16:42:38.899265Z" } }, "outputs": [ @@ -1863,8 +1859,8 @@ "execution_count": 29, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:26:12.093048Z", - "start_time": "2022-10-23T04:26:11.251448Z" + "end_time": "2022-10-31T16:43:02.609545Z", + "start_time": "2022-10-31T16:43:01.778085Z" } }, "outputs": [ @@ -1902,8 +1898,8 @@ "execution_count": 30, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:26:16.355802Z", - "start_time": "2022-10-23T04:26:12.094505Z" + "end_time": "2022-10-31T16:43:06.301914Z", + "start_time": "2022-10-31T16:43:02.612024Z" } }, "outputs": [ @@ -1966,8 +1962,8 @@ "execution_count": 31, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:26:16.398667Z", - "start_time": "2022-10-23T04:26:16.358052Z" + "end_time": "2022-10-31T16:43:06.341885Z", + "start_time": "2022-10-31T16:43:06.304342Z" } }, "outputs": [ @@ -2005,8 +2001,8 @@ "execution_count": 32, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:26:16.456760Z", - "start_time": "2022-10-23T04:26:16.401652Z" + "end_time": "2022-10-31T16:43:06.396736Z", + "start_time": "2022-10-31T16:43:06.345515Z" } }, "outputs": [], @@ -2021,8 +2017,8 @@ "execution_count": 33, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:26:16.673366Z", - "start_time": "2022-10-23T04:26:16.459764Z" + "end_time": "2022-10-31T16:43:06.575415Z", + "start_time": "2022-10-31T16:43:06.399517Z" } }, "outputs": [ @@ -2055,27 +2051,27 @@ " \n", " GLPK_CMD\n", " 89.756098\n", - " 0.027613\n", + " 0.022927\n", " \n", " \n", " CPLEX_CMD\n", " 89.756098\n", - " 0.03604\n", + " 0.032208\n", " \n", " \n", " PULP_CBC_CMD\n", " 89.756098\n", - " 0.029125\n", + " 0.023142\n", " \n", " \n", " COIN_CMD\n", " 89.756098\n", - " 0.046014\n", + " 0.040459\n", " \n", " \n", " SCIP_CMD\n", " 89.756098\n", - " 0.045338\n", + " 0.038251\n", " \n", " \n", "\n", @@ -2083,11 +2079,11 @@ ], "text/plain": [ " Coverage % Solve Time (sec.)\n", - "GLPK_CMD 89.756098 0.027613\n", - "CPLEX_CMD 89.756098 0.03604\n", - "PULP_CBC_CMD 89.756098 0.029125\n", - "COIN_CMD 89.756098 0.046014\n", - "SCIP_CMD 89.756098 0.045338" + "GLPK_CMD 89.756098 0.022927\n", + "CPLEX_CMD 89.756098 0.032208\n", + "PULP_CBC_CMD 89.756098 0.023142\n", + "COIN_CMD 89.756098 0.040459\n", + "SCIP_CMD 89.756098 0.038251" ] }, "execution_count": 33, @@ -2099,8 +2095,7 @@ "results = pandas.DataFrame(columns=[\"Coverage %\", \"Solve Time (sec.)\"], index=solvers)\n", "for solver in solvers:\n", " _mclp = mclp.solve(pulp.get_solver(solver, msg=False))\n", - " _mclp.get_percentage()\n", - " results.loc[solver] = [_mclp.percentage * 100., _mclp.problem.solutionTime]\n", + " results.loc[solver] = [_mclp.perc_cov, _mclp.problem.solutionTime]\n", "results" ] }, @@ -2118,8 +2113,8 @@ "execution_count": 34, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:26:16.757239Z", - "start_time": "2022-10-23T04:26:16.676360Z" + "end_time": "2022-10-31T16:43:06.658340Z", + "start_time": "2022-10-31T16:43:06.584917Z" } }, "outputs": [], @@ -2132,8 +2127,8 @@ "execution_count": 35, "metadata": { "ExecuteTime": { - "end_time": "2022-10-23T04:26:51.823292Z", - "start_time": "2022-10-23T04:26:16.766609Z" + "end_time": "2022-10-31T16:43:38.728581Z", + "start_time": "2022-10-31T16:43:06.661063Z" } }, "outputs": [ @@ -2166,27 +2161,27 @@ " \n", " GLPK_CMD\n", " 7403.06\n", - " 24.249036\n", + " 21.933545\n", " \n", " \n", " CPLEX_CMD\n", " 7403.063811\n", - " 0.703454\n", + " 0.684068\n", " \n", " \n", " PULP_CBC_CMD\n", " 7403.0638\n", - " 1.675996\n", + " 1.704759\n", " \n", " \n", " COIN_CMD\n", " 7403.0638\n", - " 1.775206\n", + " 1.778577\n", " \n", " \n", " SCIP_CMD\n", " 7403.063811\n", - " 6.62836\n", + " 5.950065\n", " \n", " \n", "\n", @@ -2194,11 +2189,11 @@ ], "text/plain": [ " MinMax Solve Time (sec.)\n", - "GLPK_CMD 7403.06 24.249036\n", - "CPLEX_CMD 7403.063811 0.703454\n", - "PULP_CBC_CMD 7403.0638 1.675996\n", - "COIN_CMD 7403.0638 1.775206\n", - "SCIP_CMD 7403.063811 6.62836" + "GLPK_CMD 7403.06 21.933545\n", + "CPLEX_CMD 7403.063811 0.684068\n", + "PULP_CBC_CMD 7403.0638 1.704759\n", + "COIN_CMD 7403.0638 1.778577\n", + "SCIP_CMD 7403.063811 5.950065" ] }, "execution_count": 35, @@ -2236,7 +2231,7 @@ "hash": "958eb214114e08f71b7ebc4a2a14e16b7e5a4d56e75cf94b50c30e8e940fafb5" }, "kernelspec": { - "display_name": "Python [conda env:py310_spopt] *", + "display_name": "Python [conda env:py310_spopt]", "language": "python", "name": "conda-env-py310_spopt-py" }, diff --git a/notebooks/lscp.ipynb b/notebooks/lscp.ipynb index 91048c0d..d06f9f8b 100644 --- a/notebooks/lscp.ipynb +++ b/notebooks/lscp.ipynb @@ -16,21 +16,21 @@ "\n", "**LSCP can be written as:**\n", "\n", - "$\\begin{array} \\displaystyle \\textbf{Minimize} & \\sum_{j=1}^{n}{x_j} && (1) \\\\\n", - "\\displaystyle \\textbf{Subject to:} & \\sum_{j\\in N_i}{x_j} \\geq 1 & \\forall i & (2) \\\\\n", - " & x_j \\in {0,1} & \\forall j & (3) \\\\ \\end{array}$\n", + "$\\begin{array} \\displaystyle \\textbf{Minimize} & \\sum_{j=1}^{n}{Y_j} && (1) \\\\\n", + "\\displaystyle \\textbf{Subject to:} & \\sum_{j\\in N_i}{Y_j} \\geq 1 & \\forall i & (2) \\\\\n", + " & Y_j \\in {0,1} & \\forall j & (3) \\\\ \\end{array}$\n", " \n", "$\\begin{array} \\displaystyle \\textbf{Where:}\\\\ & & \\displaystyle i & \\small = & \\textrm{index referencing nodes of the network as demand} \\\\\n", "& & j & \\small = & \\textrm{index referencing nodes of the network as potential facility sites} \\\\\n", "& & S & \\small = & \\textrm{maximal acceptable service distance or time standard} \\\\\n", "& & d_{ij} & \\small = & \\textrm{shortest distance or travel time between nodes } i \\textrm{ and } j \\\\\n", "& & N_i & \\small = & \\{j | d_{ij} < S\\} \\\\\n", - "& & x_j & \\small = & \\begin{cases} \n", + "& & Y_j & \\small = & \\begin{cases} \n", " 1, \\text{if a facility is located at node } j\\\\\n", " 0, \\text{otherwise} \\\\\n", " \\end{cases} \\end{array}$\n", " \n", - "_The formulation above is from Church and Murray (2018)._\n", + "_The formulation above is adapted from Church and Murray (2018)._\n", "\n", "This tutorial generates synthetic demand (clients) and facility sites near a 10x10 lattice representing a gridded urban core. Three LSCP instances are solved while varying parameters:\n", "* `LSCP.from_cost_matrix()` with network distance as the metric\n", @@ -43,8 +43,8 @@ "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:10.288464Z", - "start_time": "2022-10-29T17:24:10.234534Z" + "end_time": "2022-10-31T15:32:40.510990Z", + "start_time": "2022-10-31T15:32:40.470045Z" } }, "outputs": [ @@ -52,7 +52,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Last updated: 2022-10-29T13:24:10.268599-04:00\n", + "Last updated: 2022-10-31T11:32:40.499417-04:00\n", "\n", "Python implementation: CPython\n", "Python version : 3.10.6\n", @@ -80,8 +80,8 @@ "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:12.661484Z", - "start_time": "2022-10-29T17:24:10.293029Z" + "end_time": "2022-10-31T15:32:42.811857Z", + "start_time": "2022-10-31T15:32:40.514175Z" } }, "outputs": [ @@ -91,14 +91,14 @@ "text": [ "Watermark: 2.3.1\n", "\n", - "geopandas : 0.11.1\n", - "pulp : 2.6.0\n", + "matplotlib: 3.6.1\n", "shapely : 1.8.5\n", "spaghetti : 1.6.7\n", "numpy : 1.23.3\n", "json : 2.0.9\n", + "pulp : 2.6.0\n", + "geopandas : 0.11.1\n", "spopt : 0.4.1+200.g336f235.dirty\n", - "matplotlib: 3.6.1\n", "\n" ] } @@ -135,8 +135,8 @@ "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:12.670969Z", - "start_time": "2022-10-29T17:24:12.666683Z" + "end_time": "2022-10-31T15:32:42.820099Z", + "start_time": "2022-10-31T15:32:42.816774Z" } }, "outputs": [], @@ -172,8 +172,8 @@ "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:12.710970Z", - "start_time": "2022-10-29T17:24:12.673911Z" + "end_time": "2022-10-31T15:32:42.861464Z", + "start_time": "2022-10-31T15:32:42.825154Z" } }, "outputs": [], @@ -194,8 +194,8 @@ "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:12.830045Z", - "start_time": "2022-10-29T17:24:12.713183Z" + "end_time": "2022-10-31T15:32:42.990479Z", + "start_time": "2022-10-31T15:32:42.867406Z" } }, "outputs": [], @@ -208,8 +208,8 @@ "execution_count": 6, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:12.861920Z", - "start_time": "2022-10-29T17:24:12.832378Z" + "end_time": "2022-10-31T15:32:43.024037Z", + "start_time": "2022-10-31T15:32:42.995636Z" } }, "outputs": [], @@ -233,8 +233,8 @@ "execution_count": 7, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:13.037097Z", - "start_time": "2022-10-29T17:24:12.864592Z" + "end_time": "2022-10-31T15:32:43.198502Z", + "start_time": "2022-10-31T15:32:43.026452Z" } }, "outputs": [ @@ -272,8 +272,8 @@ "execution_count": 8, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:13.056493Z", - "start_time": "2022-10-29T17:24:13.040255Z" + "end_time": "2022-10-31T15:32:43.216912Z", + "start_time": "2022-10-31T15:32:43.200995Z" } }, "outputs": [], @@ -298,8 +298,8 @@ "execution_count": 9, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:13.587598Z", - "start_time": "2022-10-29T17:24:13.059011Z" + "end_time": "2022-10-31T15:32:43.693289Z", + "start_time": "2022-10-31T15:32:43.223962Z" } }, "outputs": [ @@ -345,8 +345,8 @@ "execution_count": 10, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:13.669181Z", - "start_time": "2022-10-29T17:24:13.590864Z" + "end_time": "2022-10-31T15:32:43.775478Z", + "start_time": "2022-10-31T15:32:43.695889Z" } }, "outputs": [], @@ -372,8 +372,8 @@ "execution_count": 11, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:14.091403Z", - "start_time": "2022-10-29T17:24:13.675828Z" + "end_time": "2022-10-31T15:32:44.204087Z", + "start_time": "2022-10-31T15:32:43.778286Z" } }, "outputs": [ @@ -416,8 +416,8 @@ "execution_count": 12, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:14.158095Z", - "start_time": "2022-10-29T17:24:14.094085Z" + "end_time": "2022-10-31T15:32:44.265311Z", + "start_time": "2022-10-31T15:32:44.207037Z" } }, "outputs": [ @@ -452,8 +452,8 @@ "execution_count": 13, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:14.165419Z", - "start_time": "2022-10-29T17:24:14.160439Z" + "end_time": "2022-10-31T15:32:44.272033Z", + "start_time": "2022-10-31T15:32:44.268259Z" } }, "outputs": [ @@ -486,8 +486,8 @@ "execution_count": 14, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:14.173253Z", - "start_time": "2022-10-29T17:24:14.167907Z" + "end_time": "2022-10-31T15:32:44.277575Z", + "start_time": "2022-10-31T15:32:44.273555Z" } }, "outputs": [ @@ -527,8 +527,8 @@ "execution_count": 15, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:14.194494Z", - "start_time": "2022-10-29T17:24:14.175718Z" + "end_time": "2022-10-31T15:32:44.296895Z", + "start_time": "2022-10-31T15:32:44.279094Z" } }, "outputs": [], @@ -550,15 +550,15 @@ "execution_count": 16, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:14.250171Z", - "start_time": "2022-10-29T17:24:14.196737Z" + "end_time": "2022-10-31T15:32:44.545524Z", + "start_time": "2022-10-31T15:32:44.298772Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 16, @@ -583,8 +583,8 @@ "execution_count": 17, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:14.269096Z", - "start_time": "2022-10-29T17:24:14.253091Z" + "end_time": "2022-10-31T15:32:44.564475Z", + "start_time": "2022-10-31T15:32:44.547722Z" } }, "outputs": [ @@ -689,9 +689,7 @@ ], "source": [ "facility_points[\"dv\"] = lscp_from_cm.fac_vars\n", - "facility_points[\"dv\"] = facility_points[\"dv\"].map(\n", - " lambda x: x.name.replace(\"_\", \"\").replace(\"x\", \"y\")\n", - ")\n", + "facility_points[\"dv\"] = facility_points[\"dv\"].map(lambda x: x.name.replace(\"_\", \"\"))\n", "facilities_snapped[\"dv\"] = facility_points[\"dv\"]\n", "facility_points" ] @@ -712,8 +710,8 @@ "execution_count": 18, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:14.292897Z", - "start_time": "2022-10-29T17:24:14.271725Z" + "end_time": "2022-10-31T15:32:44.586276Z", + "start_time": "2022-10-31T15:32:44.566881Z" } }, "outputs": [], @@ -735,15 +733,15 @@ "execution_count": 19, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:14.344817Z", - "start_time": "2022-10-29T17:24:14.295447Z" + "end_time": "2022-10-31T15:32:44.631447Z", + "start_time": "2022-10-31T15:32:44.588217Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 19, @@ -768,8 +766,8 @@ "execution_count": 20, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:14.360997Z", - "start_time": "2022-10-29T17:24:14.347038Z" + "end_time": "2022-10-31T15:32:44.647538Z", + "start_time": "2022-10-31T15:32:44.634473Z" } }, "outputs": [ @@ -895,8 +893,8 @@ "execution_count": 21, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:14.382118Z", - "start_time": "2022-10-29T17:24:14.362829Z" + "end_time": "2022-10-31T15:32:44.668483Z", + "start_time": "2022-10-31T15:32:44.649123Z" } }, "outputs": [], @@ -918,15 +916,15 @@ "execution_count": 22, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:14.427486Z", - "start_time": "2022-10-29T17:24:14.384168Z" + "end_time": "2022-10-31T15:32:44.713096Z", + "start_time": "2022-10-31T15:32:44.670668Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 22, @@ -953,8 +951,8 @@ "execution_count": 23, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:14.436257Z", - "start_time": "2022-10-29T17:24:14.430311Z" + "end_time": "2022-10-31T15:32:44.722587Z", + "start_time": "2022-10-31T15:32:44.716371Z" } }, "outputs": [ @@ -1012,8 +1010,8 @@ "execution_count": 24, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:14.450536Z", - "start_time": "2022-10-29T17:24:14.437943Z" + "end_time": "2022-10-31T15:32:44.737851Z", + "start_time": "2022-10-31T15:32:44.724548Z" } }, "outputs": [], @@ -1117,8 +1115,8 @@ "execution_count": 25, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:15.216290Z", - "start_time": "2022-10-29T17:24:14.452984Z" + "end_time": "2022-10-31T15:32:45.607636Z", + "start_time": "2022-10-31T15:32:44.739700Z" }, "scrolled": false }, @@ -1160,8 +1158,8 @@ "execution_count": 26, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:15.862559Z", - "start_time": "2022-10-29T17:24:15.219646Z" + "end_time": "2022-10-31T15:32:46.224173Z", + "start_time": "2022-10-31T15:32:45.610610Z" } }, "outputs": [ @@ -1208,8 +1206,8 @@ "execution_count": 27, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:16.584010Z", - "start_time": "2022-10-29T17:24:15.865038Z" + "end_time": "2022-10-31T15:32:46.965679Z", + "start_time": "2022-10-31T15:32:46.226753Z" } }, "outputs": [ @@ -1252,8 +1250,8 @@ "execution_count": 28, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:18.460691Z", - "start_time": "2022-10-29T17:24:16.586422Z" + "end_time": "2022-10-31T15:32:48.608363Z", + "start_time": "2022-10-31T15:32:46.968486Z" } }, "outputs": [ diff --git a/notebooks/lscp_gis.ipynb b/notebooks/lscp_gis.ipynb index a6649acf..02b07b25 100644 --- a/notebooks/lscp_gis.ipynb +++ b/notebooks/lscp_gis.ipynb @@ -31,8 +31,8 @@ "id": "4a4648c9", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:52:50.121486Z", - "start_time": "2022-10-29T23:52:50.068577Z" + "end_time": "2022-10-31T13:27:02.546743Z", + "start_time": "2022-10-31T13:27:02.500606Z" } }, "outputs": [ @@ -40,7 +40,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Last updated: 2022-10-29T19:52:50.110702-04:00\n", + "Last updated: 2022-10-31T09:27:02.533257-04:00\n", "\n", "Python implementation: CPython\n", "Python version : 3.10.6\n", @@ -69,8 +69,8 @@ "id": "367156e4", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:52:56.513867Z", - "start_time": "2022-10-29T23:52:50.124338Z" + "end_time": "2022-10-31T13:27:04.700827Z", + "start_time": "2022-10-31T13:27:02.549743Z" } }, "outputs": [ @@ -80,14 +80,14 @@ "text": [ "Watermark: 2.3.1\n", "\n", - "shapely : 1.8.5\n", "numpy : 1.23.3\n", + "shapely : 1.8.5\n", "overpy : 0.6\n", + "folium : 0.12.1.post1\n", "routingpy: 1.1.0\n", + "json : 2.0.9\n", "spopt : 0.4.1+200.g336f235.dirty\n", "pulp : 2.6.0\n", - "folium : 0.12.1.post1\n", - "json : 2.0.9\n", "\n" ] } @@ -125,8 +125,8 @@ "id": "9c1276e0", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:52:56.523589Z", - "start_time": "2022-10-29T23:52:56.519722Z" + "end_time": "2022-10-31T13:27:04.709964Z", + "start_time": "2022-10-31T13:27:04.706618Z" } }, "outputs": [], @@ -153,8 +153,8 @@ "id": "f61a54fb", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:52:58.005785Z", - "start_time": "2022-10-29T23:52:56.526214Z" + "end_time": "2022-10-31T13:27:07.731501Z", + "start_time": "2022-10-31T13:27:04.712684Z" } }, "outputs": [], @@ -187,8 +187,8 @@ "id": "9364e615", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:52:58.025392Z", - "start_time": "2022-10-29T23:52:58.011384Z" + "end_time": "2022-10-31T13:27:07.746665Z", + "start_time": "2022-10-31T13:27:07.735943Z" } }, "outputs": [], @@ -212,8 +212,8 @@ "id": "20c9ff1c", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:52:58.033948Z", - "start_time": "2022-10-29T23:52:58.028418Z" + "end_time": "2022-10-31T13:27:07.755218Z", + "start_time": "2022-10-31T13:27:07.749952Z" } }, "outputs": [], @@ -235,8 +235,8 @@ "id": "16f5e4a8", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:52:58.039156Z", - "start_time": "2022-10-29T23:52:58.036408Z" + "end_time": "2022-10-31T13:27:07.761185Z", + "start_time": "2022-10-31T13:27:07.758131Z" } }, "outputs": [], @@ -250,8 +250,8 @@ "id": "0de53198", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:52:58.168254Z", - "start_time": "2022-10-29T23:52:58.042451Z" + "end_time": "2022-10-31T13:27:07.885033Z", + "start_time": "2022-10-31T13:27:07.764393Z" } }, "outputs": [ @@ -283,7 +283,7 @@ " <meta name="viewport" content="width=device-width,\n", " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", " <style>\n", - " #map_41d5c158b9b4af1df3657788a30e2ee9 {\n", + " #map_b02cf1635014e3a5a2eb955eaae19375 {\n", " position: relative;\n", " width: 100.0%;\n", " height: 100.0%;\n", @@ -295,13 +295,13 @@ "</head>\n", "<body> \n", " \n", - " <div class="folium-map" id="map_41d5c158b9b4af1df3657788a30e2ee9" ></div>\n", + " <div class="folium-map" id="map_b02cf1635014e3a5a2eb955eaae19375" ></div>\n", " \n", "</body>\n", "<script> \n", " \n", - " var map_41d5c158b9b4af1df3657788a30e2ee9 = L.map(\n", - " "map_41d5c158b9b4af1df3657788a30e2ee9",\n", + " var map_b02cf1635014e3a5a2eb955eaae19375 = L.map(\n", + " "map_b02cf1635014e3a5a2eb955eaae19375",\n", " {\n", " center: [43.6624674, -79.3988052],\n", " crs: L.CRS.EPSG3857,\n", @@ -315,2273 +315,2273 @@ "\n", " \n", " \n", - " var tile_layer_ae8b5237e2ab33b71e92e48a42e0a2ef = L.tileLayer(\n", + " var tile_layer_d546fe549e2e692bc984ba1c74fe86a9 = L.tileLayer(\n", " "https://cartodb-basemaps-{s}.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png",\n", " {"attribution": "\\u0026copy; \\u003ca href=\\"http://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors \\u0026copy; \\u003ca href=\\"http://cartodb.com/attributions\\"\\u003eCartoDB\\u003c/a\\u003e, CartoDB \\u003ca href =\\"http://cartodb.com/attributions\\"\\u003eattributions\\u003c/a\\u003e", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n", - 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height: 100.0%;">Medical Sciences Building</div>`)[0];\n", - " popup_b7fe6b23935d2072949580039df79728.setContent(html_3a718b83ef9b34da18f061e1b7996a4c);\n", + " var html_48d108dd3fb3837dcaa72c718f7b6c54 = $(`<div id="html_48d108dd3fb3837dcaa72c718f7b6c54" style="width: 100.0%; height: 100.0%;">Medical Sciences Building</div>`)[0];\n", + " popup_49bb2fc03c88603136970bc9a8b90630.setContent(html_48d108dd3fb3837dcaa72c718f7b6c54);\n", " \n", "\n", - " circle_marker_924f1814adaa05f96a13c0f5ce892411.bindPopup(popup_b7fe6b23935d2072949580039df79728)\n", + " circle_marker_e0bf420a6e142532facd9d0691d2a1f5.bindPopup(popup_49bb2fc03c88603136970bc9a8b90630)\n", " ;\n", "\n", " \n", @@ -2589,7 +2589,7 @@ "</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen>" ], "text/plain": [ - "" + "" ] }, "execution_count": 8, @@ -2633,8 +2633,8 @@ "id": "961e3128", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:52:59.306999Z", - "start_time": "2022-10-29T23:52:58.170540Z" + "end_time": "2022-10-31T13:27:09.849164Z", + "start_time": "2022-10-31T13:27:07.887711Z" } }, "outputs": [], @@ -2668,8 +2668,8 @@ "id": "f32d1d71", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:52:59.437454Z", - "start_time": "2022-10-29T23:52:59.311498Z" + "end_time": "2022-10-31T13:27:10.000615Z", + "start_time": "2022-10-31T13:27:09.855013Z" } }, "outputs": [ @@ -2701,7 +2701,7 @@ " <meta name="viewport" content="width=device-width,\n", " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", " <style>\n", - " #map_41d5c158b9b4af1df3657788a30e2ee9 {\n", + " #map_b02cf1635014e3a5a2eb955eaae19375 {\n", " position: relative;\n", " width: 100.0%;\n", " height: 100.0%;\n", @@ -2713,13 +2713,13 @@ "</head>\n", "<body> \n", " \n", - " <div class="folium-map" id="map_41d5c158b9b4af1df3657788a30e2ee9" ></div>\n", + " <div class="folium-map" id="map_b02cf1635014e3a5a2eb955eaae19375" ></div>\n", " \n", "</body>\n", "<script> \n", " \n", - " var map_41d5c158b9b4af1df3657788a30e2ee9 = L.map(\n", - " "map_41d5c158b9b4af1df3657788a30e2ee9",\n", + " var map_b02cf1635014e3a5a2eb955eaae19375 = L.map(\n", + " "map_b02cf1635014e3a5a2eb955eaae19375",\n", " {\n", " center: [43.6624674, -79.3988052],\n", " crs: L.CRS.EPSG3857,\n", @@ -2733,3019 +2733,3019 @@ "\n", " \n", " \n", - " var tile_layer_ae8b5237e2ab33b71e92e48a42e0a2ef = L.tileLayer(\n", + " var tile_layer_d546fe549e2e692bc984ba1c74fe86a9 = L.tileLayer(\n", " "https://cartodb-basemaps-{s}.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png",\n", " {"attribution": "\\u0026copy; 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" ).addTo(feature_group_209a2cf9db620695c02f01b815a7cb76);\n", + " ).addTo(feature_group_a869283d875deaa9ce35cc6f6821ddb4);\n", " \n", " \n", - " var popup_b7fe6b23935d2072949580039df79728 = L.popup({"maxWidth": "100%"});\n", + " var popup_49bb2fc03c88603136970bc9a8b90630 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_3a718b83ef9b34da18f061e1b7996a4c = $(`<div id="html_3a718b83ef9b34da18f061e1b7996a4c" style="width: 100.0%; height: 100.0%;">Medical Sciences Building</div>`)[0];\n", - " popup_b7fe6b23935d2072949580039df79728.setContent(html_3a718b83ef9b34da18f061e1b7996a4c);\n", + " var html_48d108dd3fb3837dcaa72c718f7b6c54 = $(`<div id="html_48d108dd3fb3837dcaa72c718f7b6c54" style="width: 100.0%; height: 100.0%;">Medical Sciences Building</div>`)[0];\n", + " popup_49bb2fc03c88603136970bc9a8b90630.setContent(html_48d108dd3fb3837dcaa72c718f7b6c54);\n", " \n", "\n", - " circle_marker_924f1814adaa05f96a13c0f5ce892411.bindPopup(popup_b7fe6b23935d2072949580039df79728)\n", + " circle_marker_e0bf420a6e142532facd9d0691d2a1f5.bindPopup(popup_49bb2fc03c88603136970bc9a8b90630)\n", " ;\n", "\n", " \n", " \n", " \n", - 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" var html_eaaad7e372a31c8b88e7b8ca8b682182 = $(`<div id="html_eaaad7e372a31c8b88e7b8ca8b682182" style="width: 100.0%; height: 100.0%;">Spadina Avenue</div>`)[0];\n", - " popup_5658deafbe4bbe5ee9ae70e748eda485.setContent(html_eaaad7e372a31c8b88e7b8ca8b682182);\n", + " var html_8dddfc5560b855c183a94f883fce1278 = $(`<div id="html_8dddfc5560b855c183a94f883fce1278" style="width: 100.0%; height: 100.0%;">Spadina Avenue</div>`)[0];\n", + " popup_c05b15ff68223a642fad0e8997263774.setContent(html_8dddfc5560b855c183a94f883fce1278);\n", " \n", "\n", - " circle_marker_2b44ba60c5e58a0c75d8824f9ee8e066.bindPopup(popup_5658deafbe4bbe5ee9ae70e748eda485)\n", + " circle_marker_e05b80599dfe67f970d81ad7cd91d381.bindPopup(popup_c05b15ff68223a642fad0e8997263774)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_fa6601f607c88ae98a7acfd1f0939a7e = L.circleMarker(\n", + " var circle_marker_f8f903b57f2c4cfa7ab70e1cf92448a9 = L.circleMarker(\n", " [43.6659912, -79.399197],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_676734dd7ff0a3c7d3754fd3c24e6aa9 = L.popup({"maxWidth": "100%"});\n", + " var popup_d53b208b5299988f1a0f5da33af7ee36 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_edd180f201ad999c064f3877f9b8ec12 = $(`<div id="html_edd180f201ad999c064f3877f9b8ec12" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", - " popup_676734dd7ff0a3c7d3754fd3c24e6aa9.setContent(html_edd180f201ad999c064f3877f9b8ec12);\n", + " var html_c34776784f067a4abebb963e2634324a = $(`<div id="html_c34776784f067a4abebb963e2634324a" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", + " popup_d53b208b5299988f1a0f5da33af7ee36.setContent(html_c34776784f067a4abebb963e2634324a);\n", " \n", "\n", - " circle_marker_fa6601f607c88ae98a7acfd1f0939a7e.bindPopup(popup_676734dd7ff0a3c7d3754fd3c24e6aa9)\n", + " circle_marker_f8f903b57f2c4cfa7ab70e1cf92448a9.bindPopup(popup_d53b208b5299988f1a0f5da33af7ee36)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1e3511cfaf5cf532f276d46eb8063b46 = L.circleMarker(\n", + " var circle_marker_be120c100e15d98450f5b68fa30bb7af = L.circleMarker(\n", " [43.6633073, -79.3943052],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_9ee5c725b74116f2eda5f34e2cb9509b = L.popup({"maxWidth": "100%"});\n", + " var popup_6cf52c3840b3b36fea2d8ec4bc94bd57 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ba5031080337bd5776288ca3ef8bb33a = $(`<div id="html_ba5031080337bd5776288ca3ef8bb33a" style="width: 100.0%; height: 100.0%;">Hart House Circle</div>`)[0];\n", - " popup_9ee5c725b74116f2eda5f34e2cb9509b.setContent(html_ba5031080337bd5776288ca3ef8bb33a);\n", + " var html_4da71b484b0e02880499e2420156688c = $(`<div id="html_4da71b484b0e02880499e2420156688c" style="width: 100.0%; height: 100.0%;">Hart House Circle</div>`)[0];\n", + " popup_6cf52c3840b3b36fea2d8ec4bc94bd57.setContent(html_4da71b484b0e02880499e2420156688c);\n", " \n", "\n", - " circle_marker_1e3511cfaf5cf532f276d46eb8063b46.bindPopup(popup_9ee5c725b74116f2eda5f34e2cb9509b)\n", + " circle_marker_be120c100e15d98450f5b68fa30bb7af.bindPopup(popup_6cf52c3840b3b36fea2d8ec4bc94bd57)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_6c16122bf8750dc8e4a545a47cfa37f9 = L.circleMarker(\n", + " var circle_marker_93e589299ec4ba6ab7c0e8101a1309a7 = L.circleMarker(\n", " [43.662763, -79.3940832],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_fd0330ac3d144f6911808dd1811d7041 = L.popup({"maxWidth": "100%"});\n", + " var popup_04e8e5df21faebbf2a5e5eabb26835d5 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_7f5901e0c4a5ecb153e57ceb355e6893 = $(`<div id="html_7f5901e0c4a5ecb153e57ceb355e6893" style="width: 100.0%; height: 100.0%;">Hart House Circle</div>`)[0];\n", - " popup_fd0330ac3d144f6911808dd1811d7041.setContent(html_7f5901e0c4a5ecb153e57ceb355e6893);\n", + " var html_234829c26ac1d57e5e0a56901a58c7a7 = $(`<div id="html_234829c26ac1d57e5e0a56901a58c7a7" style="width: 100.0%; height: 100.0%;">Hart House Circle</div>`)[0];\n", + " popup_04e8e5df21faebbf2a5e5eabb26835d5.setContent(html_234829c26ac1d57e5e0a56901a58c7a7);\n", " \n", "\n", - " circle_marker_6c16122bf8750dc8e4a545a47cfa37f9.bindPopup(popup_fd0330ac3d144f6911808dd1811d7041)\n", + " circle_marker_93e589299ec4ba6ab7c0e8101a1309a7.bindPopup(popup_04e8e5df21faebbf2a5e5eabb26835d5)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_828ef2df0356b123268185030021a981 = L.circleMarker(\n", + " var circle_marker_8cb82b24f378fa9cdd3b83866eb8f839 = L.circleMarker(\n", " [43.6604549, -79.3957829],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_d7212af6ce0cea4e5992e3a8a4e44a67 = L.popup({"maxWidth": "100%"});\n", + " var popup_14e3ba4a2757de3e21be589424fec522 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_340d0f3820e215f34f2d3610242f9b87 = $(`<div id="html_340d0f3820e215f34f2d3610242f9b87" style="width: 100.0%; height: 100.0%;">Galbraith Road</div>`)[0];\n", - " popup_d7212af6ce0cea4e5992e3a8a4e44a67.setContent(html_340d0f3820e215f34f2d3610242f9b87);\n", + " var html_7b4c30c094fa3a26426fbc8eb6d98b7b = $(`<div id="html_7b4c30c094fa3a26426fbc8eb6d98b7b" style="width: 100.0%; height: 100.0%;">Galbraith Road</div>`)[0];\n", + " popup_14e3ba4a2757de3e21be589424fec522.setContent(html_7b4c30c094fa3a26426fbc8eb6d98b7b);\n", " \n", "\n", - " circle_marker_828ef2df0356b123268185030021a981.bindPopup(popup_d7212af6ce0cea4e5992e3a8a4e44a67)\n", + " circle_marker_8cb82b24f378fa9cdd3b83866eb8f839.bindPopup(popup_14e3ba4a2757de3e21be589424fec522)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_57b2683ca49c73beea9267847e1ebc00 = L.circleMarker(\n", + " var circle_marker_d355a9b4a2a5986a32b3324d47a2f278 = L.circleMarker(\n", " [43.6617619, -79.3951182],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_27dcf291d733653577083091a5bace08 = L.popup({"maxWidth": "100%"});\n", + " var popup_5f1e9fa4da8f8c83e7d85ebb883f54ff = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d0777e37c5e1b398948d380165bb3da6 = $(`<div id="html_d0777e37c5e1b398948d380165bb3da6" style="width: 100.0%; height: 100.0%;">King's College Circle</div>`)[0];\n", - " popup_27dcf291d733653577083091a5bace08.setContent(html_d0777e37c5e1b398948d380165bb3da6);\n", + " var html_6a1817f72c28f893053679ce3cc468ed = $(`<div id="html_6a1817f72c28f893053679ce3cc468ed" style="width: 100.0%; height: 100.0%;">King's College Circle</div>`)[0];\n", + " popup_5f1e9fa4da8f8c83e7d85ebb883f54ff.setContent(html_6a1817f72c28f893053679ce3cc468ed);\n", " \n", "\n", - " circle_marker_57b2683ca49c73beea9267847e1ebc00.bindPopup(popup_27dcf291d733653577083091a5bace08)\n", + " circle_marker_d355a9b4a2a5986a32b3324d47a2f278.bindPopup(popup_5f1e9fa4da8f8c83e7d85ebb883f54ff)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e19e8f42e4684219a1cac5a187e8bf11 = L.circleMarker(\n", + " var circle_marker_f36a201c40516eb1744f2ac74afd58b3 = L.circleMarker(\n", " [43.6620255, -79.3960591],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_ab9b4d5b26885dbd95444c9a863ed4fa = L.popup({"maxWidth": "100%"});\n", + " var popup_e5ff0eb5c84de542745ae9f1aac26ce8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_b179044769a55b39003b8bfd6a7a67cb = $(`<div id="html_b179044769a55b39003b8bfd6a7a67cb" style="width: 100.0%; height: 100.0%;">King's College Circle</div>`)[0];\n", - " popup_ab9b4d5b26885dbd95444c9a863ed4fa.setContent(html_b179044769a55b39003b8bfd6a7a67cb);\n", + " var html_1cce64281d7847132917237c5c00125e = $(`<div id="html_1cce64281d7847132917237c5c00125e" style="width: 100.0%; height: 100.0%;">King's College Circle</div>`)[0];\n", + " popup_e5ff0eb5c84de542745ae9f1aac26ce8.setContent(html_1cce64281d7847132917237c5c00125e);\n", " \n", "\n", - " circle_marker_e19e8f42e4684219a1cac5a187e8bf11.bindPopup(popup_ab9b4d5b26885dbd95444c9a863ed4fa)\n", + " circle_marker_f36a201c40516eb1744f2ac74afd58b3.bindPopup(popup_e5ff0eb5c84de542745ae9f1aac26ce8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d7ce426371aa58c10299f71fe5e2ccfc = L.circleMarker(\n", + " var circle_marker_e1db97c5c2601c45b6ab24bdbd4956a6 = L.circleMarker(\n", " [43.6600769, -79.3944777],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_c594f013925d3349f9ea4bc5915f4adc = L.popup({"maxWidth": "100%"});\n", + " var popup_3a241507da1c6dbfe538eeaee05782c9 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d9db29ebec84ac09d8ad1a6a686d9988 = $(`<div id="html_d9db29ebec84ac09d8ad1a6a686d9988" style="width: 100.0%; height: 100.0%;">King's College Road</div>`)[0];\n", - " popup_c594f013925d3349f9ea4bc5915f4adc.setContent(html_d9db29ebec84ac09d8ad1a6a686d9988);\n", + " var html_e87f8e2ae270f731dce871254a1bcd38 = $(`<div id="html_e87f8e2ae270f731dce871254a1bcd38" style="width: 100.0%; height: 100.0%;">King's College Road</div>`)[0];\n", + " popup_3a241507da1c6dbfe538eeaee05782c9.setContent(html_e87f8e2ae270f731dce871254a1bcd38);\n", " \n", "\n", - " circle_marker_d7ce426371aa58c10299f71fe5e2ccfc.bindPopup(popup_c594f013925d3349f9ea4bc5915f4adc)\n", + " circle_marker_e1db97c5c2601c45b6ab24bdbd4956a6.bindPopup(popup_3a241507da1c6dbfe538eeaee05782c9)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_00668aa59d11ebb38f5581e61ecbf47e = L.circleMarker(\n", + " var circle_marker_062c8660f5f3738aa8b051bbcef0ce6c = L.circleMarker(\n", " [43.6652119, -79.389661],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_c881472b23d9330eb591374202fdcea7 = L.popup({"maxWidth": "100%"});\n", + " var popup_512837f18793b773fcb566b1b91ea58d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_60b8bb1fd68ab4da32405cf0eb7438ff = $(`<div id="html_60b8bb1fd68ab4da32405cf0eb7438ff" style="width: 100.0%; height: 100.0%;">St. Joseph Street</div>`)[0];\n", - " popup_c881472b23d9330eb591374202fdcea7.setContent(html_60b8bb1fd68ab4da32405cf0eb7438ff);\n", + " var html_12b5f305eab0bc8baa023f8f028b6262 = $(`<div id="html_12b5f305eab0bc8baa023f8f028b6262" style="width: 100.0%; height: 100.0%;">St. Joseph Street</div>`)[0];\n", + " popup_512837f18793b773fcb566b1b91ea58d.setContent(html_12b5f305eab0bc8baa023f8f028b6262);\n", " \n", "\n", - " circle_marker_00668aa59d11ebb38f5581e61ecbf47e.bindPopup(popup_c881472b23d9330eb591374202fdcea7)\n", + " circle_marker_062c8660f5f3738aa8b051bbcef0ce6c.bindPopup(popup_512837f18793b773fcb566b1b91ea58d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4f0e348f53e9e506734f36f02ea8b252 = L.circleMarker(\n", + " var circle_marker_aa35cf395a24f00b52b58b101ea1eaa3 = L.circleMarker(\n", " [43.6661223, -79.3932349],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_076f8c230cf7242b3aa1d0d4ba235719 = L.popup({"maxWidth": "100%"});\n", + " var popup_b6af4da2741259e396b0f117af478cd0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e519cce8afbaf3fd12f3d6d4728dd8e1 = $(`<div id="html_e519cce8afbaf3fd12f3d6d4728dd8e1" style="width: 100.0%; height: 100.0%;">Queen's Park</div>`)[0];\n", - " popup_076f8c230cf7242b3aa1d0d4ba235719.setContent(html_e519cce8afbaf3fd12f3d6d4728dd8e1);\n", + " var html_10aa4e005483e7a7111eb4a01e57273f = $(`<div id="html_10aa4e005483e7a7111eb4a01e57273f" style="width: 100.0%; height: 100.0%;">Queen's Park</div>`)[0];\n", + " popup_b6af4da2741259e396b0f117af478cd0.setContent(html_10aa4e005483e7a7111eb4a01e57273f);\n", " \n", "\n", - " circle_marker_4f0e348f53e9e506734f36f02ea8b252.bindPopup(popup_076f8c230cf7242b3aa1d0d4ba235719)\n", + " circle_marker_aa35cf395a24f00b52b58b101ea1eaa3.bindPopup(popup_b6af4da2741259e396b0f117af478cd0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c7e41826174cfe4c83bb6d59a2f6cf60 = L.circleMarker(\n", + " var circle_marker_79e53e6e44abbda219625a9bc6571e84 = L.circleMarker(\n", " [43.6668083, -79.3933414],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_670c12198606481bc201d0d30d0f1b2d = L.popup({"maxWidth": "100%"});\n", + " var popup_f079d0c6d52ddc76e5c90ac018cfb01b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d2fa0ed58f1e2ffb08a80c8202c4e172 = $(`<div id="html_d2fa0ed58f1e2ffb08a80c8202c4e172" style="width: 100.0%; height: 100.0%;">Queen's Park</div>`)[0];\n", - " popup_670c12198606481bc201d0d30d0f1b2d.setContent(html_d2fa0ed58f1e2ffb08a80c8202c4e172);\n", + " var html_cd415daf32a316dbdc074670326ccc91 = $(`<div id="html_cd415daf32a316dbdc074670326ccc91" style="width: 100.0%; height: 100.0%;">Queen's Park</div>`)[0];\n", + " popup_f079d0c6d52ddc76e5c90ac018cfb01b.setContent(html_cd415daf32a316dbdc074670326ccc91);\n", " \n", "\n", - " circle_marker_c7e41826174cfe4c83bb6d59a2f6cf60.bindPopup(popup_670c12198606481bc201d0d30d0f1b2d)\n", + " circle_marker_79e53e6e44abbda219625a9bc6571e84.bindPopup(popup_f079d0c6d52ddc76e5c90ac018cfb01b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ab046b207bfb3e7c49e3b55f0abcb21e = L.circleMarker(\n", + " var circle_marker_8a634c9800823771a1f4601147cbafc1 = L.circleMarker(\n", " [43.6607236, -79.3996924],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_e5f88e43d59e5942646072daad05494c = L.popup({"maxWidth": "100%"});\n", + " var popup_838d289342260ee959d9046be026f78a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_5c19601f97408fd74b829336d0db2f6a = $(`<div id="html_5c19601f97408fd74b829336d0db2f6a" style="width: 100.0%; height: 100.0%;">Bancroft Avenue</div>`)[0];\n", - " popup_e5f88e43d59e5942646072daad05494c.setContent(html_5c19601f97408fd74b829336d0db2f6a);\n", + " var html_d5c89e42a481024032eb7e9209999380 = $(`<div id="html_d5c89e42a481024032eb7e9209999380" style="width: 100.0%; height: 100.0%;">Bancroft Avenue</div>`)[0];\n", + " popup_838d289342260ee959d9046be026f78a.setContent(html_d5c89e42a481024032eb7e9209999380);\n", " \n", "\n", - " circle_marker_ab046b207bfb3e7c49e3b55f0abcb21e.bindPopup(popup_e5f88e43d59e5942646072daad05494c)\n", + " circle_marker_8a634c9800823771a1f4601147cbafc1.bindPopup(popup_838d289342260ee959d9046be026f78a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d58208de1abee07fcdce76052abc803d = L.circleMarker(\n", + " var circle_marker_1ecadfdba91d4feb3fa3658dfbef0650 = L.circleMarker(\n", " [43.6632956, -79.40102],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_9efe76e387818f33e0f9657146ddf4f6 = L.popup({"maxWidth": "100%"});\n", + " var popup_b3b92f68a878b8e746bf9ca65bda4b9f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_09ceaf2740991647a697d79b43b79293 = $(`<div id="html_09ceaf2740991647a697d79b43b79293" style="width: 100.0%; height: 100.0%;">Harbord Street</div>`)[0];\n", - " popup_9efe76e387818f33e0f9657146ddf4f6.setContent(html_09ceaf2740991647a697d79b43b79293);\n", + " var html_7a3f20d6136d75bb6286e9abe0837b4f = $(`<div id="html_7a3f20d6136d75bb6286e9abe0837b4f" style="width: 100.0%; height: 100.0%;">Harbord Street</div>`)[0];\n", + " popup_b3b92f68a878b8e746bf9ca65bda4b9f.setContent(html_7a3f20d6136d75bb6286e9abe0837b4f);\n", " \n", "\n", - " circle_marker_d58208de1abee07fcdce76052abc803d.bindPopup(popup_9efe76e387818f33e0f9657146ddf4f6)\n", + " circle_marker_1ecadfdba91d4feb3fa3658dfbef0650.bindPopup(popup_b3b92f68a878b8e746bf9ca65bda4b9f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_372e742604f4ed0792747cdee0964eeb = L.circleMarker(\n", + " var circle_marker_d7dadedbbc8ae1ba175b8ec144d4d733 = L.circleMarker(\n", " [43.6641342, -79.3982519],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_33dcc51f560cadf1aa556335e2ff7d3e = L.popup({"maxWidth": "100%"});\n", + " var popup_1878292e23585cdfb8ec083f2febd693 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_adeb4e023eb5faa549dc7167b0b60a69 = $(`<div id="html_adeb4e023eb5faa549dc7167b0b60a69" style="width: 100.0%; height: 100.0%;">Hoskin Avenue</div>`)[0];\n", - " popup_33dcc51f560cadf1aa556335e2ff7d3e.setContent(html_adeb4e023eb5faa549dc7167b0b60a69);\n", + " var html_deb11fba9b0babb90c6b9e2dbdc44439 = $(`<div id="html_deb11fba9b0babb90c6b9e2dbdc44439" style="width: 100.0%; height: 100.0%;">Hoskin Avenue</div>`)[0];\n", + " popup_1878292e23585cdfb8ec083f2febd693.setContent(html_deb11fba9b0babb90c6b9e2dbdc44439);\n", " \n", "\n", - " circle_marker_372e742604f4ed0792747cdee0964eeb.bindPopup(popup_33dcc51f560cadf1aa556335e2ff7d3e)\n", + " circle_marker_d7dadedbbc8ae1ba175b8ec144d4d733.bindPopup(popup_1878292e23585cdfb8ec083f2febd693)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_37abcf47d05347e4590c97f22da673d4 = L.circleMarker(\n", + " var circle_marker_e94b96e814e8dfc8a4cc798c8b829895 = L.circleMarker(\n", " [43.6629351, -79.3948955],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_9fcb7d80cb44de6698a0ef4a4e05b18a = L.popup({"maxWidth": "100%"});\n", + " var popup_a9b60043175a67d49bace31f02be91f6 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_22d101c98ae573ef4d063a1f725b392c = $(`<div id="html_22d101c98ae573ef4d063a1f725b392c" style="width: 100.0%; height: 100.0%;">Hart House Circle</div>`)[0];\n", - " popup_9fcb7d80cb44de6698a0ef4a4e05b18a.setContent(html_22d101c98ae573ef4d063a1f725b392c);\n", + " var html_5108f010fb9ff07ee4f1523493a39b2d = $(`<div id="html_5108f010fb9ff07ee4f1523493a39b2d" style="width: 100.0%; height: 100.0%;">Hart House Circle</div>`)[0];\n", + " popup_a9b60043175a67d49bace31f02be91f6.setContent(html_5108f010fb9ff07ee4f1523493a39b2d);\n", " \n", "\n", - " circle_marker_37abcf47d05347e4590c97f22da673d4.bindPopup(popup_9fcb7d80cb44de6698a0ef4a4e05b18a)\n", + " circle_marker_e94b96e814e8dfc8a4cc798c8b829895.bindPopup(popup_a9b60043175a67d49bace31f02be91f6)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_fde771c7e0ebe67a84f2739052ad71d4 = L.circleMarker(\n", + " var circle_marker_662aae9ac14720b84a731cc18128db57 = L.circleMarker(\n", " [43.6641569, -79.395464],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_22c335b62b5fa73bd668d91454bbc036 = L.popup({"maxWidth": "100%"});\n", + " var popup_d5b1f17ac678a3e0396ed6734f354483 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_87cd3986462d6c88e901a4941743b00e = $(`<div id="html_87cd3986462d6c88e901a4941743b00e" style="width: 100.0%; height: 100.0%;">Tower Road</div>`)[0];\n", - " popup_22c335b62b5fa73bd668d91454bbc036.setContent(html_87cd3986462d6c88e901a4941743b00e);\n", + " var html_5938a116be7ebf93b958bd0dd8645fc9 = $(`<div id="html_5938a116be7ebf93b958bd0dd8645fc9" style="width: 100.0%; height: 100.0%;">Tower Road</div>`)[0];\n", + " popup_d5b1f17ac678a3e0396ed6734f354483.setContent(html_5938a116be7ebf93b958bd0dd8645fc9);\n", " \n", "\n", - " circle_marker_fde771c7e0ebe67a84f2739052ad71d4.bindPopup(popup_22c335b62b5fa73bd668d91454bbc036)\n", + " circle_marker_662aae9ac14720b84a731cc18128db57.bindPopup(popup_d5b1f17ac678a3e0396ed6734f354483)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_43ee2d7ac8519847ec821667ffbdb517 = L.circleMarker(\n", + " var circle_marker_b5c789933a10ed853a1de2d229d4f043 = L.circleMarker(\n", " [43.6601121, -79.3904479],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_e4c940ad6a089d18cb136a2abccfabaf = L.popup({"maxWidth": "100%"});\n", + " var popup_fc18aa21c85dccc690cd5a30d0cb43e4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2398c80bdd4084a4e0d2e451860b8f88 = $(`<div id="html_2398c80bdd4084a4e0d2e451860b8f88" style="width: 100.0%; height: 100.0%;">Queen's Park</div>`)[0];\n", - " popup_e4c940ad6a089d18cb136a2abccfabaf.setContent(html_2398c80bdd4084a4e0d2e451860b8f88);\n", + " var html_4b4962e83918d9930f0731d15e3f9c04 = $(`<div id="html_4b4962e83918d9930f0731d15e3f9c04" style="width: 100.0%; height: 100.0%;">Queen's Park</div>`)[0];\n", + " popup_fc18aa21c85dccc690cd5a30d0cb43e4.setContent(html_4b4962e83918d9930f0731d15e3f9c04);\n", " \n", "\n", - " circle_marker_43ee2d7ac8519847ec821667ffbdb517.bindPopup(popup_e4c940ad6a089d18cb136a2abccfabaf)\n", + " circle_marker_b5c789933a10ed853a1de2d229d4f043.bindPopup(popup_fc18aa21c85dccc690cd5a30d0cb43e4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_82cf27a28630b8b768d3e4ae2c111d32 = L.circleMarker(\n", + " var circle_marker_60e91301c17dc76a1892950ae5bf1d82 = L.circleMarker(\n", " [43.659444, -79.3965106],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_be849e6c9ded88a8ac8c907dc62ff7e8 = L.popup({"maxWidth": "100%"});\n", + " var popup_54fff18836ff5e74e4ef7eeb81f5748b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_928cc2c77b868cf82dc9a8e5df843d38 = $(`<div id="html_928cc2c77b868cf82dc9a8e5df843d38" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", - " popup_be849e6c9ded88a8ac8c907dc62ff7e8.setContent(html_928cc2c77b868cf82dc9a8e5df843d38);\n", + " var html_dec662e35c092d50285ea91f95a8160d = $(`<div id="html_dec662e35c092d50285ea91f95a8160d" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", + " popup_54fff18836ff5e74e4ef7eeb81f5748b.setContent(html_dec662e35c092d50285ea91f95a8160d);\n", " \n", "\n", - " circle_marker_82cf27a28630b8b768d3e4ae2c111d32.bindPopup(popup_be849e6c9ded88a8ac8c907dc62ff7e8)\n", + " circle_marker_60e91301c17dc76a1892950ae5bf1d82.bindPopup(popup_54fff18836ff5e74e4ef7eeb81f5748b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0755db79ddc293848ec3adf71ef95ee5 = L.circleMarker(\n", + " var circle_marker_e431b00d86de96d574c232588732ffd2 = L.circleMarker(\n", " [43.6599493, -79.3906387],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_7ab811fe2008f1351fb863f2828af435 = L.popup({"maxWidth": "100%"});\n", + " var popup_fc7e502b9e2ad602a6f07ea681ce7653 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6b9679a2bb670b01cdd77f70a0293966 = $(`<div id="html_6b9679a2bb670b01cdd77f70a0293966" style="width: 100.0%; height: 100.0%;">Queen's Park</div>`)[0];\n", - " popup_7ab811fe2008f1351fb863f2828af435.setContent(html_6b9679a2bb670b01cdd77f70a0293966);\n", + " var html_6902c5a97fb12b9bc41db47d3eb1b5e6 = $(`<div id="html_6902c5a97fb12b9bc41db47d3eb1b5e6" style="width: 100.0%; height: 100.0%;">Queen's Park</div>`)[0];\n", + " popup_fc7e502b9e2ad602a6f07ea681ce7653.setContent(html_6902c5a97fb12b9bc41db47d3eb1b5e6);\n", " \n", "\n", - " circle_marker_0755db79ddc293848ec3adf71ef95ee5.bindPopup(popup_7ab811fe2008f1351fb863f2828af435)\n", + " circle_marker_e431b00d86de96d574c232588732ffd2.bindPopup(popup_fc7e502b9e2ad602a6f07ea681ce7653)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_aa8ba6cad32d208e2323d2ae1d07fd57 = L.circleMarker(\n", + " var circle_marker_7dc790e299cc656b62a7fb37f3695384 = L.circleMarker(\n", " [43.660582, -79.3905297],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_ab39ecb76e62374c39fd48dce014076b = L.popup({"maxWidth": "100%"});\n", + " var popup_583a2fe773275294355eed4c591285e7 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a15db70d645e8b44c1faffadce9b2890 = $(`<div id="html_a15db70d645e8b44c1faffadce9b2890" style="width: 100.0%; height: 100.0%;">Queen's Park</div>`)[0];\n", - " popup_ab39ecb76e62374c39fd48dce014076b.setContent(html_a15db70d645e8b44c1faffadce9b2890);\n", + " var html_ad46a79b9702e7e872a8f382d1056db2 = $(`<div id="html_ad46a79b9702e7e872a8f382d1056db2" style="width: 100.0%; height: 100.0%;">Queen's Park</div>`)[0];\n", + " popup_583a2fe773275294355eed4c591285e7.setContent(html_ad46a79b9702e7e872a8f382d1056db2);\n", " \n", "\n", - " circle_marker_aa8ba6cad32d208e2323d2ae1d07fd57.bindPopup(popup_ab39ecb76e62374c39fd48dce014076b)\n", + " circle_marker_7dc790e299cc656b62a7fb37f3695384.bindPopup(popup_583a2fe773275294355eed4c591285e7)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_905d3588636cd686365d282836f59659 = L.circleMarker(\n", + " var circle_marker_77d0e9acb68806b36711a27bef816df9 = L.circleMarker(\n", " [43.6638961, -79.398738],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_24ca094d07310df6b01c317519b0a6e7 = L.popup({"maxWidth": "100%"});\n", + " var popup_61749c0e1063f6a99b5a173a1f1f186d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_72a8d7c9e35be6dab74119704b359703 = $(`<div id="html_72a8d7c9e35be6dab74119704b359703" style="width: 100.0%; height: 100.0%;">Harbord Street</div>`)[0];\n", - " popup_24ca094d07310df6b01c317519b0a6e7.setContent(html_72a8d7c9e35be6dab74119704b359703);\n", + " var html_82d9a2f62664dbcf97a9a611a7be7800 = $(`<div id="html_82d9a2f62664dbcf97a9a611a7be7800" style="width: 100.0%; height: 100.0%;">Harbord Street</div>`)[0];\n", + " popup_61749c0e1063f6a99b5a173a1f1f186d.setContent(html_82d9a2f62664dbcf97a9a611a7be7800);\n", " \n", "\n", - " circle_marker_905d3588636cd686365d282836f59659.bindPopup(popup_24ca094d07310df6b01c317519b0a6e7)\n", + " circle_marker_77d0e9acb68806b36711a27bef816df9.bindPopup(popup_61749c0e1063f6a99b5a173a1f1f186d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_85f6010f06fb2effcaec92cfe2d2be6e = L.circleMarker(\n", + " var circle_marker_130fee43b800c8debccc2822477e4401 = L.circleMarker(\n", " [43.6644432, -79.396868],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_29a4e2643fff650aadb14216c3b3ff31 = L.popup({"maxWidth": "100%"});\n", + " var popup_117f798781f9bd0a5c1469772cad121d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_4f738ed6e8124b29071e2351665ee51a = $(`<div id="html_4f738ed6e8124b29071e2351665ee51a" style="width: 100.0%; height: 100.0%;">Hoskin Avenue</div>`)[0];\n", - " popup_29a4e2643fff650aadb14216c3b3ff31.setContent(html_4f738ed6e8124b29071e2351665ee51a);\n", + " var html_66f2fd550128d4670d765ce8e8a9ab09 = $(`<div id="html_66f2fd550128d4670d765ce8e8a9ab09" style="width: 100.0%; height: 100.0%;">Hoskin Avenue</div>`)[0];\n", + " popup_117f798781f9bd0a5c1469772cad121d.setContent(html_66f2fd550128d4670d765ce8e8a9ab09);\n", " \n", "\n", - " circle_marker_85f6010f06fb2effcaec92cfe2d2be6e.bindPopup(popup_29a4e2643fff650aadb14216c3b3ff31)\n", + " circle_marker_130fee43b800c8debccc2822477e4401.bindPopup(popup_117f798781f9bd0a5c1469772cad121d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_48c58a61e79392f56f579b11b285d2e6 = L.circleMarker(\n", + " var circle_marker_3ce2da0252702ce0a5b429d2fedac057 = L.circleMarker(\n", " [43.6604734, -79.4004724],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_470cb0b507df0ce58db4fd1085d405e6 = L.popup({"maxWidth": "100%"});\n", + " var popup_b134ff9369d3ea12c2cd0323fac1c1b1 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a065b4d70dae9ebfa04c2d4426bee505 = $(`<div id="html_a065b4d70dae9ebfa04c2d4426bee505" style="width: 100.0%; height: 100.0%;">n/a</div>`)[0];\n", - " popup_470cb0b507df0ce58db4fd1085d405e6.setContent(html_a065b4d70dae9ebfa04c2d4426bee505);\n", + " var html_4f7d5e8ec66656f42ac2d7d073a864ce = $(`<div id="html_4f7d5e8ec66656f42ac2d7d073a864ce" style="width: 100.0%; height: 100.0%;">n/a</div>`)[0];\n", + " popup_b134ff9369d3ea12c2cd0323fac1c1b1.setContent(html_4f7d5e8ec66656f42ac2d7d073a864ce);\n", " \n", "\n", - " circle_marker_48c58a61e79392f56f579b11b285d2e6.bindPopup(popup_470cb0b507df0ce58db4fd1085d405e6)\n", + " circle_marker_3ce2da0252702ce0a5b429d2fedac057.bindPopup(popup_b134ff9369d3ea12c2cd0323fac1c1b1)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d5f75e5d896fd7ae1739a9752fa53ce0 = L.circleMarker(\n", + " var circle_marker_e540c6f3d37603ab4fbfafe287e2688b = L.circleMarker(\n", " [43.6676361, -79.3916454],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_4dd010b430665155cad4188870a0ceac = L.popup({"maxWidth": "100%"});\n", + " var popup_4a0c87472a1b77fed1896d3e3a4a03a4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d517a0c18fd6a8baa7ebfb48d1df49d8 = $(`<div id="html_d517a0c18fd6a8baa7ebfb48d1df49d8" style="width: 100.0%; height: 100.0%;">Charles Street West</div>`)[0];\n", - " popup_4dd010b430665155cad4188870a0ceac.setContent(html_d517a0c18fd6a8baa7ebfb48d1df49d8);\n", + " var html_d31464592e1fa8fcef5fdb1863733301 = $(`<div id="html_d31464592e1fa8fcef5fdb1863733301" style="width: 100.0%; height: 100.0%;">Charles Street West</div>`)[0];\n", + " popup_4a0c87472a1b77fed1896d3e3a4a03a4.setContent(html_d31464592e1fa8fcef5fdb1863733301);\n", " \n", "\n", - " circle_marker_d5f75e5d896fd7ae1739a9752fa53ce0.bindPopup(popup_4dd010b430665155cad4188870a0ceac)\n", + " circle_marker_e540c6f3d37603ab4fbfafe287e2688b.bindPopup(popup_4a0c87472a1b77fed1896d3e3a4a03a4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1e469bc25f733ee7f0199f7bfa60a6e7 = L.circleMarker(\n", + " var circle_marker_bb5e862ddbf1d231ee4ab02e0b3b58ae = L.circleMarker(\n", " [43.6647488, -79.3954033],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_b7e6a69732403b8f354284bbeaf5dd9c = L.popup({"maxWidth": "100%"});\n", + " var popup_5e32f583bce8af5de04343f0049bc78e = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_cee5a9892f8d81e1ee9c86d980e91ccb = $(`<div id="html_cee5a9892f8d81e1ee9c86d980e91ccb" style="width: 100.0%; height: 100.0%;">Hoskin Avenue</div>`)[0];\n", - " popup_b7e6a69732403b8f354284bbeaf5dd9c.setContent(html_cee5a9892f8d81e1ee9c86d980e91ccb);\n", + " var html_54c7e14675cc64b4901a31597073969e = $(`<div id="html_54c7e14675cc64b4901a31597073969e" style="width: 100.0%; height: 100.0%;">Hoskin Avenue</div>`)[0];\n", + " popup_5e32f583bce8af5de04343f0049bc78e.setContent(html_54c7e14675cc64b4901a31597073969e);\n", " \n", "\n", - " circle_marker_1e469bc25f733ee7f0199f7bfa60a6e7.bindPopup(popup_b7e6a69732403b8f354284bbeaf5dd9c)\n", + " circle_marker_bb5e862ddbf1d231ee4ab02e0b3b58ae.bindPopup(popup_5e32f583bce8af5de04343f0049bc78e)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_88b78dda8210260ee559891d8a22fe97 = L.circleMarker(\n", + " var circle_marker_d3db0ab7564fc0ad97db1a435e389312 = L.circleMarker(\n", " [43.6649237, -79.3945212],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_6848ecba09697edee4cc345475808815 = L.popup({"maxWidth": "100%"});\n", + " var popup_33a672d6990630cf5e1792e52c86fe6d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_68e167a43791ef776efa0be495db3f46 = $(`<div id="html_68e167a43791ef776efa0be495db3f46" style="width: 100.0%; height: 100.0%;">Hoskin Avenue</div>`)[0];\n", - " popup_6848ecba09697edee4cc345475808815.setContent(html_68e167a43791ef776efa0be495db3f46);\n", + " var html_093ff954b74b6e4f45908e33810d5c3d = $(`<div id="html_093ff954b74b6e4f45908e33810d5c3d" style="width: 100.0%; height: 100.0%;">Hoskin Avenue</div>`)[0];\n", + " popup_33a672d6990630cf5e1792e52c86fe6d.setContent(html_093ff954b74b6e4f45908e33810d5c3d);\n", " \n", "\n", - " circle_marker_88b78dda8210260ee559891d8a22fe97.bindPopup(popup_6848ecba09697edee4cc345475808815)\n", + " circle_marker_d3db0ab7564fc0ad97db1a435e389312.bindPopup(popup_33a672d6990630cf5e1792e52c86fe6d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8fcfedfd3b4163e0cfd59078f7740b7a = L.circleMarker(\n", + " var circle_marker_e0984da6d5c82b1d9d28366b7a7e14be = L.circleMarker(\n", " [43.6656079, -79.3879367],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_91ead05375344d52b764d35cd7b39686 = L.popup({"maxWidth": "100%"});\n", + " var popup_f3017a573f11a287c3dd9aedf01fd039 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_02f70e2fd752d9b4f921952c42d7ac6a = $(`<div id="html_02f70e2fd752d9b4f921952c42d7ac6a" style="width: 100.0%; height: 100.0%;">St. Joseph Street</div>`)[0];\n", - " popup_91ead05375344d52b764d35cd7b39686.setContent(html_02f70e2fd752d9b4f921952c42d7ac6a);\n", + " var html_c5c541136803c2c992dbc28ae284c8a4 = $(`<div id="html_c5c541136803c2c992dbc28ae284c8a4" style="width: 100.0%; height: 100.0%;">St. Joseph Street</div>`)[0];\n", + " popup_f3017a573f11a287c3dd9aedf01fd039.setContent(html_c5c541136803c2c992dbc28ae284c8a4);\n", " \n", "\n", - " circle_marker_8fcfedfd3b4163e0cfd59078f7740b7a.bindPopup(popup_91ead05375344d52b764d35cd7b39686)\n", + " circle_marker_e0984da6d5c82b1d9d28366b7a7e14be.bindPopup(popup_f3017a573f11a287c3dd9aedf01fd039)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_75f5b930a25410029e23de4b2bf1266d = L.circleMarker(\n", + " var circle_marker_b4d4df8ac5b59a8f4749027359da5ae7 = L.circleMarker(\n", " [43.6597486, -79.400235],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_d030fcbce30e0de89c13204e3b97d2ca = L.popup({"maxWidth": "100%"});\n", + " var popup_2c11430c44381bea100e01d5d000ca18 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_25d8f10d5e685644bf95aca1d4a95bda = $(`<div id="html_25d8f10d5e685644bf95aca1d4a95bda" style="width: 100.0%; height: 100.0%;">Spadina Crescent</div>`)[0];\n", - " popup_d030fcbce30e0de89c13204e3b97d2ca.setContent(html_25d8f10d5e685644bf95aca1d4a95bda);\n", + " var html_55f3f37a8c39bbe5731f9d6199dc9d70 = $(`<div id="html_55f3f37a8c39bbe5731f9d6199dc9d70" style="width: 100.0%; height: 100.0%;">Spadina Crescent</div>`)[0];\n", + " popup_2c11430c44381bea100e01d5d000ca18.setContent(html_55f3f37a8c39bbe5731f9d6199dc9d70);\n", " \n", "\n", - " circle_marker_75f5b930a25410029e23de4b2bf1266d.bindPopup(popup_d030fcbce30e0de89c13204e3b97d2ca)\n", + " circle_marker_b4d4df8ac5b59a8f4749027359da5ae7.bindPopup(popup_2c11430c44381bea100e01d5d000ca18)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_29e58c19ab33fdd88d0c5e220af8959b = L.circleMarker(\n", + " var circle_marker_1ead29f11a31383122514a5d14586961 = L.circleMarker(\n", " [43.6589193, -79.3961886],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_c6ca4cd9949127fc7ebecc8d3afbcad5 = L.popup({"maxWidth": "100%"});\n", + " var popup_e95bc31ed8cdf9753cd4e1cf291e34e6 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0a334d2330352cfb0e967318346d562a = $(`<div id="html_0a334d2330352cfb0e967318346d562a" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", - " popup_c6ca4cd9949127fc7ebecc8d3afbcad5.setContent(html_0a334d2330352cfb0e967318346d562a);\n", + " var html_92cfb23ce0949edc401815b677b23e97 = $(`<div id="html_92cfb23ce0949edc401815b677b23e97" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", + " popup_e95bc31ed8cdf9753cd4e1cf291e34e6.setContent(html_92cfb23ce0949edc401815b677b23e97);\n", " \n", "\n", - " circle_marker_29e58c19ab33fdd88d0c5e220af8959b.bindPopup(popup_c6ca4cd9949127fc7ebecc8d3afbcad5)\n", + " circle_marker_1ead29f11a31383122514a5d14586961.bindPopup(popup_e95bc31ed8cdf9753cd4e1cf291e34e6)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7a8fac595b3bc03d796e432a3011245c = L.circleMarker(\n", + " var circle_marker_0d254dd81b5fa63e14b41977be01509c = L.circleMarker(\n", " [43.6638297, -79.398336],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_3de0b7b3aeb26b026f43285ce8fa0dfc = L.popup({"maxWidth": "100%"});\n", + " var popup_3602376d4941532ea2c289f1287b77ee = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_668205c43a22780e51a5c95c08d97d91 = $(`<div id="html_668205c43a22780e51a5c95c08d97d91" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", - " popup_3de0b7b3aeb26b026f43285ce8fa0dfc.setContent(html_668205c43a22780e51a5c95c08d97d91);\n", + " var html_1b448ce56bd8f95ca7c32f6691b427ba = $(`<div id="html_1b448ce56bd8f95ca7c32f6691b427ba" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", + " popup_3602376d4941532ea2c289f1287b77ee.setContent(html_1b448ce56bd8f95ca7c32f6691b427ba);\n", " \n", "\n", - " circle_marker_7a8fac595b3bc03d796e432a3011245c.bindPopup(popup_3de0b7b3aeb26b026f43285ce8fa0dfc)\n", + " circle_marker_0d254dd81b5fa63e14b41977be01509c.bindPopup(popup_3602376d4941532ea2c289f1287b77ee)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8ca53559402c55e1c8098ce1b0199222 = L.circleMarker(\n", + " var circle_marker_bbd15c4128a4e76cd410b442d223d52d = L.circleMarker(\n", " [43.6625236, -79.3977902],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_095f9fa89f546430c8e4a75080b41fad = L.popup({"maxWidth": "100%"});\n", + " var popup_9c4784dd70bfabd9676ca5b4aed51be8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_16172989794857adf76f426d56a03ea1 = $(`<div id="html_16172989794857adf76f426d56a03ea1" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", - " popup_095f9fa89f546430c8e4a75080b41fad.setContent(html_16172989794857adf76f426d56a03ea1);\n", + " var html_b5bcacb83f49ca08688802674af75cab = $(`<div id="html_b5bcacb83f49ca08688802674af75cab" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", + " popup_9c4784dd70bfabd9676ca5b4aed51be8.setContent(html_b5bcacb83f49ca08688802674af75cab);\n", " \n", "\n", - " circle_marker_8ca53559402c55e1c8098ce1b0199222.bindPopup(popup_095f9fa89f546430c8e4a75080b41fad)\n", + " circle_marker_bbd15c4128a4e76cd410b442d223d52d.bindPopup(popup_9c4784dd70bfabd9676ca5b4aed51be8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7287e10ff505e18c0b0329a0b4ac5268 = L.circleMarker(\n", + " var circle_marker_495cc28663718af349cabb40b73cbcbe = L.circleMarker(\n", " [43.6642728, -79.3985142],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_fa76a17b0d227aa2cbfa48c222fd81b2 = L.popup({"maxWidth": "100%"});\n", + " var popup_a0d5bfa6964fd69442903f48d989830b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_80d50646acb0b29575b2fe6dff9c1f91 = $(`<div id="html_80d50646acb0b29575b2fe6dff9c1f91" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", - " popup_fa76a17b0d227aa2cbfa48c222fd81b2.setContent(html_80d50646acb0b29575b2fe6dff9c1f91);\n", + " var html_bc73cfab5adf093c05e1c4aeac066c7f = $(`<div id="html_bc73cfab5adf093c05e1c4aeac066c7f" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", + " popup_a0d5bfa6964fd69442903f48d989830b.setContent(html_bc73cfab5adf093c05e1c4aeac066c7f);\n", " \n", "\n", - " circle_marker_7287e10ff505e18c0b0329a0b4ac5268.bindPopup(popup_fa76a17b0d227aa2cbfa48c222fd81b2)\n", + " circle_marker_495cc28663718af349cabb40b73cbcbe.bindPopup(popup_a0d5bfa6964fd69442903f48d989830b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e7d87b4d65056d0bfbafadb5ca46b0b5 = L.circleMarker(\n", + " var circle_marker_9c721aae379aa6a8d7f8a9b48921f854 = L.circleMarker(\n", " [43.6633158, -79.3981203],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_d9b1d45541ccae5596c65863ecaf9b63 = L.popup({"maxWidth": "100%"});\n", + " var popup_41c512998eda799a39e7f5ce083619fe = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a0b4af4a3ea887529e2ca0239d7caa91 = $(`<div id="html_a0b4af4a3ea887529e2ca0239d7caa91" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", - " popup_d9b1d45541ccae5596c65863ecaf9b63.setContent(html_a0b4af4a3ea887529e2ca0239d7caa91);\n", + " var html_6b4f7994cda2fd597a81b22955fe7aa6 = $(`<div id="html_6b4f7994cda2fd597a81b22955fe7aa6" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", + " popup_41c512998eda799a39e7f5ce083619fe.setContent(html_6b4f7994cda2fd597a81b22955fe7aa6);\n", " \n", "\n", - " circle_marker_e7d87b4d65056d0bfbafadb5ca46b0b5.bindPopup(popup_d9b1d45541ccae5596c65863ecaf9b63)\n", + " circle_marker_9c721aae379aa6a8d7f8a9b48921f854.bindPopup(popup_41c512998eda799a39e7f5ce083619fe)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_6842e93e21662cb74fac9b320f629673 = L.circleMarker(\n", + " var circle_marker_4b49727372a7eee9c87f397ac37b771a = L.circleMarker(\n", " [43.6608721, -79.3971022],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_900a505b5df16c8d3326bfad2fa68d7e = L.popup({"maxWidth": "100%"});\n", + " var popup_a4c273a44b70d1f89223b2326de8df27 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_541ad31beede34e32d65d63c7cabcb2e = $(`<div id="html_541ad31beede34e32d65d63c7cabcb2e" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", - " popup_900a505b5df16c8d3326bfad2fa68d7e.setContent(html_541ad31beede34e32d65d63c7cabcb2e);\n", + " var html_e3abc287cfd71042a5e65ed6f86b0f57 = $(`<div id="html_e3abc287cfd71042a5e65ed6f86b0f57" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", + " popup_a4c273a44b70d1f89223b2326de8df27.setContent(html_e3abc287cfd71042a5e65ed6f86b0f57);\n", " \n", "\n", - " circle_marker_6842e93e21662cb74fac9b320f629673.bindPopup(popup_900a505b5df16c8d3326bfad2fa68d7e)\n", + " circle_marker_4b49727372a7eee9c87f397ac37b771a.bindPopup(popup_a4c273a44b70d1f89223b2326de8df27)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c6aa858056aa3fa35f65ce0da6e61f32 = L.circleMarker(\n", + " var circle_marker_bb16c13a0e6bf0b4e70ed7539ce21af1 = L.circleMarker(\n", " [43.6636066, -79.3995401],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_ac1ea7a058b4959e12655d84c18d2d16 = L.popup({"maxWidth": "100%"});\n", + " var popup_a52c0071dec3ff1bac65108ec65fcf09 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_aeae7d74ee89f45acbf3dba9d67dc3dc = $(`<div id="html_aeae7d74ee89f45acbf3dba9d67dc3dc" style="width: 100.0%; height: 100.0%;">Harbord Street</div>`)[0];\n", - " popup_ac1ea7a058b4959e12655d84c18d2d16.setContent(html_aeae7d74ee89f45acbf3dba9d67dc3dc);\n", + " var html_e1bc4c642570faba416388d50860b8e5 = $(`<div id="html_e1bc4c642570faba416388d50860b8e5" style="width: 100.0%; height: 100.0%;">Harbord Street</div>`)[0];\n", + " popup_a52c0071dec3ff1bac65108ec65fcf09.setContent(html_e1bc4c642570faba416388d50860b8e5);\n", " \n", "\n", - " circle_marker_c6aa858056aa3fa35f65ce0da6e61f32.bindPopup(popup_ac1ea7a058b4959e12655d84c18d2d16)\n", + " circle_marker_bb16c13a0e6bf0b4e70ed7539ce21af1.bindPopup(popup_a52c0071dec3ff1bac65108ec65fcf09)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_29931ea3fd24a9fb2874ef021f8b8bbd = L.circleMarker(\n", + " var circle_marker_05c16f714b75bfe9c30e422466339090 = L.circleMarker(\n", " [43.6602649, -79.4009095],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_f15850f878f770465a1d03e2eca63b11 = L.popup({"maxWidth": "100%"});\n", + " var popup_c8be88a15168809b404c2329864acef0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_dc5bf0ef43fa6fb3ac655147466352f6 = $(`<div id="html_dc5bf0ef43fa6fb3ac655147466352f6" style="width: 100.0%; height: 100.0%;">n/a</div>`)[0];\n", - " popup_f15850f878f770465a1d03e2eca63b11.setContent(html_dc5bf0ef43fa6fb3ac655147466352f6);\n", + " var html_275c9c18866baf166a5fba9d96798a12 = $(`<div id="html_275c9c18866baf166a5fba9d96798a12" style="width: 100.0%; height: 100.0%;">n/a</div>`)[0];\n", + " popup_c8be88a15168809b404c2329864acef0.setContent(html_275c9c18866baf166a5fba9d96798a12);\n", " \n", "\n", - " circle_marker_29931ea3fd24a9fb2874ef021f8b8bbd.bindPopup(popup_f15850f878f770465a1d03e2eca63b11)\n", + " circle_marker_05c16f714b75bfe9c30e422466339090.bindPopup(popup_c8be88a15168809b404c2329864acef0)\n", " ;\n", "\n", " \n", @@ -5753,7 +5753,7 @@ "</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen>" ], "text/plain": [ - "" + "" ] }, "execution_count": 10, @@ -5800,8 +5800,8 @@ "id": "b3b935cd", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:52:59.446314Z", - "start_time": "2022-10-29T23:52:59.443613Z" + "end_time": "2022-10-31T13:27:10.006936Z", + "start_time": "2022-10-31T13:27:10.003606Z" } }, "outputs": [], @@ -5823,8 +5823,8 @@ "id": "76fd012c", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:52:59.453234Z", - "start_time": "2022-10-29T23:52:59.448357Z" + "end_time": "2022-10-31T13:27:10.022214Z", + "start_time": "2022-10-31T13:27:10.015837Z" } }, "outputs": [ @@ -5863,8 +5863,8 @@ "id": "cdccb223", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:52:59.457797Z", - "start_time": "2022-10-29T23:52:59.454764Z" + "end_time": "2022-10-31T13:27:10.028150Z", + "start_time": "2022-10-31T13:27:10.024754Z" } }, "outputs": [], @@ -5879,8 +5879,8 @@ "id": "1725c145", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:52:59.463887Z", - "start_time": "2022-10-29T23:52:59.459915Z" + "end_time": "2022-10-31T13:27:10.037215Z", + "start_time": "2022-10-31T13:27:10.031605Z" } }, "outputs": [ @@ -5913,8 +5913,8 @@ "id": "50519af5", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:53:00.609451Z", - "start_time": "2022-10-29T23:52:59.465519Z" + "end_time": "2022-10-31T13:27:10.757585Z", + "start_time": "2022-10-31T13:27:10.039664Z" } }, "outputs": [], @@ -5942,8 +5942,8 @@ "id": "426aa8e9", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:53:00.621329Z", - "start_time": "2022-10-29T23:53:00.613805Z" + "end_time": "2022-10-31T13:27:10.774463Z", + "start_time": "2022-10-31T13:27:10.764194Z" } }, "outputs": [ @@ -5969,8 +5969,8 @@ "id": "5d8460fa", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:53:00.631050Z", - "start_time": "2022-10-29T23:53:00.624827Z" + "end_time": "2022-10-31T13:27:10.785181Z", + "start_time": "2022-10-31T13:27:10.777598Z" } }, "outputs": [ @@ -6011,8 +6011,8 @@ "id": "c09408ac", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:53:00.636631Z", - "start_time": "2022-10-29T23:53:00.633362Z" + "end_time": "2022-10-31T13:27:10.791593Z", + "start_time": "2022-10-31T13:27:10.788013Z" } }, "outputs": [], @@ -6038,8 +6038,8 @@ "id": "657edff4", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:53:01.042482Z", - "start_time": "2022-10-29T23:53:00.639324Z" + "end_time": "2022-10-31T13:27:10.905484Z", + "start_time": "2022-10-31T13:27:10.794721Z" } }, "outputs": [], @@ -6062,8 +6062,8 @@ "id": "b5191a08", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:53:01.051945Z", - "start_time": "2022-10-29T23:53:01.045476Z" + "end_time": "2022-10-31T13:27:10.914601Z", + "start_time": "2022-10-31T13:27:10.909077Z" } }, "outputs": [ @@ -6096,8 +6096,8 @@ "id": "5323e10c", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:53:01.357366Z", - "start_time": "2022-10-29T23:53:01.054302Z" + "end_time": "2022-10-31T13:27:11.194891Z", + "start_time": "2022-10-31T13:27:10.916988Z" } }, "outputs": [ @@ -6129,7 +6129,7 @@ " <meta name="viewport" content="width=device-width,\n", " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", " <style>\n", - " #map_41d5c158b9b4af1df3657788a30e2ee9 {\n", + " #map_b02cf1635014e3a5a2eb955eaae19375 {\n", " position: relative;\n", " width: 100.0%;\n", " height: 100.0%;\n", @@ -6141,13 +6141,13 @@ "</head>\n", "<body> \n", " \n", - " <div class="folium-map" id="map_41d5c158b9b4af1df3657788a30e2ee9" ></div>\n", + " <div class="folium-map" id="map_b02cf1635014e3a5a2eb955eaae19375" ></div>\n", " \n", "</body>\n", "<script> \n", " \n", - " var map_41d5c158b9b4af1df3657788a30e2ee9 = L.map(\n", - " "map_41d5c158b9b4af1df3657788a30e2ee9",\n", + " var map_b02cf1635014e3a5a2eb955eaae19375 = L.map(\n", + " "map_b02cf1635014e3a5a2eb955eaae19375",\n", " {\n", " center: [43.6624674, -79.3988052],\n", " crs: L.CRS.EPSG3857,\n", @@ -6161,6380 +6161,6380 @@ "\n", " \n", " \n", - " var tile_layer_ae8b5237e2ab33b71e92e48a42e0a2ef = L.tileLayer(\n", + " var tile_layer_d546fe549e2e692bc984ba1c74fe86a9 = L.tileLayer(\n", " "https://cartodb-basemaps-{s}.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png",\n", " {"attribution": "\\u0026copy; \\u003ca href=\\"http://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors \\u0026copy; \\u003ca href=\\"http://cartodb.com/attributions\\"\\u003eCartoDB\\u003c/a\\u003e, CartoDB \\u003ca href =\\"http://cartodb.com/attributions\\"\\u003eattributions\\u003c/a\\u003e", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n", - " ).addTo(map_41d5c158b9b4af1df3657788a30e2ee9);\n", + " ).addTo(map_b02cf1635014e3a5a2eb955eaae19375);\n", " \n", " \n", - " var feature_group_209a2cf9db620695c02f01b815a7cb76 = L.featureGroup(\n", + " var feature_group_a869283d875deaa9ce35cc6f6821ddb4 = L.featureGroup(\n", " {}\n", - " ).addTo(map_41d5c158b9b4af1df3657788a30e2ee9);\n", + " ).addTo(map_b02cf1635014e3a5a2eb955eaae19375);\n", " \n", " \n", - " var circle_marker_a18f45171c3cbfdc174a47fce28622c6 = L.circleMarker(\n", + " var circle_marker_fa3e2e2b9fa5de1848e289dd6837a7d8 = L.circleMarker(\n", " [43.6624674, -79.3988052],\n", " {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "blue", "fillOpacity": 0.3, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_209a2cf9db620695c02f01b815a7cb76);\n", + " ).addTo(feature_group_a869283d875deaa9ce35cc6f6821ddb4);\n", " \n", " \n", - " var popup_186483f15cb04e1c7cde412f981f397b = L.popup({"maxWidth": "100%"});\n", + " var popup_ab5eb6d315f7a1430354c85f35a4ab8c = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6a582d6a8adb983ea0cb56b558a5e47a = $(`<div id="html_6a582d6a8adb983ea0cb56b558a5e47a" style="width: 100.0%; height: 100.0%;">Sidney Smith Hall</div>`)[0];\n", - " popup_186483f15cb04e1c7cde412f981f397b.setContent(html_6a582d6a8adb983ea0cb56b558a5e47a);\n", + " var html_264d87544b6c4782942b27741a9d9e43 = $(`<div id="html_264d87544b6c4782942b27741a9d9e43" style="width: 100.0%; height: 100.0%;">Sidney Smith Hall</div>`)[0];\n", + " popup_ab5eb6d315f7a1430354c85f35a4ab8c.setContent(html_264d87544b6c4782942b27741a9d9e43);\n", " \n", "\n", - " circle_marker_a18f45171c3cbfdc174a47fce28622c6.bindPopup(popup_186483f15cb04e1c7cde412f981f397b)\n", + " circle_marker_fa3e2e2b9fa5de1848e289dd6837a7d8.bindPopup(popup_ab5eb6d315f7a1430354c85f35a4ab8c)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4ec6e900ce4bbf7a2646478a75134035 = L.circleMarker(\n", + " var circle_marker_b64e23bef791d21a445e99fa98e05f1f = L.circleMarker(\n", " [43.6643897, -79.3994442],\n", " {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "blue", "fillOpacity": 0.3, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_209a2cf9db620695c02f01b815a7cb76);\n", + " ).addTo(feature_group_a869283d875deaa9ce35cc6f6821ddb4);\n", " \n", " \n", - " var popup_89aece33fae221c4e98290639beb4531 = L.popup({"maxWidth": "100%"});\n", + " var popup_5f7d7fde3afce02fea1535fdd7841c95 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - 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" ).addTo(feature_group_209a2cf9db620695c02f01b815a7cb76);\n", + " ).addTo(feature_group_a869283d875deaa9ce35cc6f6821ddb4);\n", " \n", " \n", - " var popup_7f51d9cc01d8f03c930d8e095480056c = L.popup({"maxWidth": "100%"});\n", + " var popup_9008d07ba91fbf4aae54b722f0541c4a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d178ab52eeae0ef550ac14b798c205da = $(`<div id="html_d178ab52eeae0ef550ac14b798c205da" style="width: 100.0%; height: 100.0%;">J. 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" ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_670c12198606481bc201d0d30d0f1b2d = L.popup({"maxWidth": "100%"});\n", + " var popup_f079d0c6d52ddc76e5c90ac018cfb01b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d2fa0ed58f1e2ffb08a80c8202c4e172 = $(`<div id="html_d2fa0ed58f1e2ffb08a80c8202c4e172" style="width: 100.0%; height: 100.0%;">Queen's Park</div>`)[0];\n", - " popup_670c12198606481bc201d0d30d0f1b2d.setContent(html_d2fa0ed58f1e2ffb08a80c8202c4e172);\n", + " var html_cd415daf32a316dbdc074670326ccc91 = $(`<div id="html_cd415daf32a316dbdc074670326ccc91" style="width: 100.0%; height: 100.0%;">Queen's Park</div>`)[0];\n", + " popup_f079d0c6d52ddc76e5c90ac018cfb01b.setContent(html_cd415daf32a316dbdc074670326ccc91);\n", " \n", "\n", - " circle_marker_c7e41826174cfe4c83bb6d59a2f6cf60.bindPopup(popup_670c12198606481bc201d0d30d0f1b2d)\n", + " circle_marker_79e53e6e44abbda219625a9bc6571e84.bindPopup(popup_f079d0c6d52ddc76e5c90ac018cfb01b)\n", " ;\n", "\n", " \n", " \n", " \n", - 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" var html_09ceaf2740991647a697d79b43b79293 = $(`<div id="html_09ceaf2740991647a697d79b43b79293" style="width: 100.0%; height: 100.0%;">Harbord Street</div>`)[0];\n", - " popup_9efe76e387818f33e0f9657146ddf4f6.setContent(html_09ceaf2740991647a697d79b43b79293);\n", + " var html_7a3f20d6136d75bb6286e9abe0837b4f = $(`<div id="html_7a3f20d6136d75bb6286e9abe0837b4f" style="width: 100.0%; height: 100.0%;">Harbord Street</div>`)[0];\n", + " popup_b3b92f68a878b8e746bf9ca65bda4b9f.setContent(html_7a3f20d6136d75bb6286e9abe0837b4f);\n", " \n", "\n", - " circle_marker_d58208de1abee07fcdce76052abc803d.bindPopup(popup_9efe76e387818f33e0f9657146ddf4f6)\n", + " circle_marker_1ecadfdba91d4feb3fa3658dfbef0650.bindPopup(popup_b3b92f68a878b8e746bf9ca65bda4b9f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_372e742604f4ed0792747cdee0964eeb = L.circleMarker(\n", + " var circle_marker_d7dadedbbc8ae1ba175b8ec144d4d733 = L.circleMarker(\n", " [43.6641342, -79.3982519],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_33dcc51f560cadf1aa556335e2ff7d3e = L.popup({"maxWidth": "100%"});\n", + " var popup_1878292e23585cdfb8ec083f2febd693 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_adeb4e023eb5faa549dc7167b0b60a69 = $(`<div id="html_adeb4e023eb5faa549dc7167b0b60a69" style="width: 100.0%; height: 100.0%;">Hoskin Avenue</div>`)[0];\n", - " popup_33dcc51f560cadf1aa556335e2ff7d3e.setContent(html_adeb4e023eb5faa549dc7167b0b60a69);\n", + " var html_deb11fba9b0babb90c6b9e2dbdc44439 = $(`<div id="html_deb11fba9b0babb90c6b9e2dbdc44439" style="width: 100.0%; height: 100.0%;">Hoskin Avenue</div>`)[0];\n", + " popup_1878292e23585cdfb8ec083f2febd693.setContent(html_deb11fba9b0babb90c6b9e2dbdc44439);\n", " \n", "\n", - " circle_marker_372e742604f4ed0792747cdee0964eeb.bindPopup(popup_33dcc51f560cadf1aa556335e2ff7d3e)\n", + " circle_marker_d7dadedbbc8ae1ba175b8ec144d4d733.bindPopup(popup_1878292e23585cdfb8ec083f2febd693)\n", " ;\n", "\n", " \n", " \n", " \n", - 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" circle_marker_82cf27a28630b8b768d3e4ae2c111d32.bindPopup(popup_be849e6c9ded88a8ac8c907dc62ff7e8)\n", + " circle_marker_60e91301c17dc76a1892950ae5bf1d82.bindPopup(popup_54fff18836ff5e74e4ef7eeb81f5748b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0755db79ddc293848ec3adf71ef95ee5 = L.circleMarker(\n", + " var circle_marker_e431b00d86de96d574c232588732ffd2 = L.circleMarker(\n", " [43.6599493, -79.3906387],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_7ab811fe2008f1351fb863f2828af435 = L.popup({"maxWidth": "100%"});\n", + " var popup_fc7e502b9e2ad602a6f07ea681ce7653 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - 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" ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_ab39ecb76e62374c39fd48dce014076b = L.popup({"maxWidth": "100%"});\n", + " var popup_583a2fe773275294355eed4c591285e7 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a15db70d645e8b44c1faffadce9b2890 = $(`<div id="html_a15db70d645e8b44c1faffadce9b2890" style="width: 100.0%; height: 100.0%;">Queen's Park</div>`)[0];\n", - " popup_ab39ecb76e62374c39fd48dce014076b.setContent(html_a15db70d645e8b44c1faffadce9b2890);\n", + " var html_ad46a79b9702e7e872a8f382d1056db2 = $(`<div id="html_ad46a79b9702e7e872a8f382d1056db2" style="width: 100.0%; height: 100.0%;">Queen's Park</div>`)[0];\n", + " popup_583a2fe773275294355eed4c591285e7.setContent(html_ad46a79b9702e7e872a8f382d1056db2);\n", " \n", "\n", - " circle_marker_aa8ba6cad32d208e2323d2ae1d07fd57.bindPopup(popup_ab39ecb76e62374c39fd48dce014076b)\n", + " circle_marker_7dc790e299cc656b62a7fb37f3695384.bindPopup(popup_583a2fe773275294355eed4c591285e7)\n", " ;\n", "\n", " \n", " \n", " \n", - 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" circle_marker_d5f75e5d896fd7ae1739a9752fa53ce0.bindPopup(popup_4dd010b430665155cad4188870a0ceac)\n", + " circle_marker_e540c6f3d37603ab4fbfafe287e2688b.bindPopup(popup_4a0c87472a1b77fed1896d3e3a4a03a4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1e469bc25f733ee7f0199f7bfa60a6e7 = L.circleMarker(\n", + " var circle_marker_bb5e862ddbf1d231ee4ab02e0b3b58ae = L.circleMarker(\n", " [43.6647488, -79.3954033],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_b7e6a69732403b8f354284bbeaf5dd9c = L.popup({"maxWidth": "100%"});\n", + " var popup_5e32f583bce8af5de04343f0049bc78e = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - 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" ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_6848ecba09697edee4cc345475808815 = L.popup({"maxWidth": "100%"});\n", + " var popup_33a672d6990630cf5e1792e52c86fe6d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_68e167a43791ef776efa0be495db3f46 = $(`<div id="html_68e167a43791ef776efa0be495db3f46" style="width: 100.0%; height: 100.0%;">Hoskin Avenue</div>`)[0];\n", - " popup_6848ecba09697edee4cc345475808815.setContent(html_68e167a43791ef776efa0be495db3f46);\n", + " var html_093ff954b74b6e4f45908e33810d5c3d = $(`<div id="html_093ff954b74b6e4f45908e33810d5c3d" style="width: 100.0%; height: 100.0%;">Hoskin Avenue</div>`)[0];\n", + " popup_33a672d6990630cf5e1792e52c86fe6d.setContent(html_093ff954b74b6e4f45908e33810d5c3d);\n", " \n", "\n", - " circle_marker_88b78dda8210260ee559891d8a22fe97.bindPopup(popup_6848ecba09697edee4cc345475808815)\n", + " circle_marker_d3db0ab7564fc0ad97db1a435e389312.bindPopup(popup_33a672d6990630cf5e1792e52c86fe6d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8fcfedfd3b4163e0cfd59078f7740b7a = L.circleMarker(\n", + " var circle_marker_e0984da6d5c82b1d9d28366b7a7e14be = L.circleMarker(\n", " [43.6656079, -79.3879367],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_91ead05375344d52b764d35cd7b39686 = L.popup({"maxWidth": "100%"});\n", + " var popup_f3017a573f11a287c3dd9aedf01fd039 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_02f70e2fd752d9b4f921952c42d7ac6a = $(`<div id="html_02f70e2fd752d9b4f921952c42d7ac6a" style="width: 100.0%; height: 100.0%;">St. Joseph Street</div>`)[0];\n", - " popup_91ead05375344d52b764d35cd7b39686.setContent(html_02f70e2fd752d9b4f921952c42d7ac6a);\n", + " var html_c5c541136803c2c992dbc28ae284c8a4 = $(`<div id="html_c5c541136803c2c992dbc28ae284c8a4" style="width: 100.0%; height: 100.0%;">St. Joseph Street</div>`)[0];\n", + " popup_f3017a573f11a287c3dd9aedf01fd039.setContent(html_c5c541136803c2c992dbc28ae284c8a4);\n", " \n", "\n", - " circle_marker_8fcfedfd3b4163e0cfd59078f7740b7a.bindPopup(popup_91ead05375344d52b764d35cd7b39686)\n", + " circle_marker_e0984da6d5c82b1d9d28366b7a7e14be.bindPopup(popup_f3017a573f11a287c3dd9aedf01fd039)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_75f5b930a25410029e23de4b2bf1266d = L.circleMarker(\n", + " var circle_marker_b4d4df8ac5b59a8f4749027359da5ae7 = L.circleMarker(\n", " [43.6597486, -79.400235],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_d030fcbce30e0de89c13204e3b97d2ca = L.popup({"maxWidth": "100%"});\n", + " var popup_2c11430c44381bea100e01d5d000ca18 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_25d8f10d5e685644bf95aca1d4a95bda = $(`<div id="html_25d8f10d5e685644bf95aca1d4a95bda" style="width: 100.0%; height: 100.0%;">Spadina Crescent</div>`)[0];\n", - " popup_d030fcbce30e0de89c13204e3b97d2ca.setContent(html_25d8f10d5e685644bf95aca1d4a95bda);\n", + " var html_55f3f37a8c39bbe5731f9d6199dc9d70 = $(`<div id="html_55f3f37a8c39bbe5731f9d6199dc9d70" style="width: 100.0%; height: 100.0%;">Spadina Crescent</div>`)[0];\n", + " popup_2c11430c44381bea100e01d5d000ca18.setContent(html_55f3f37a8c39bbe5731f9d6199dc9d70);\n", " \n", "\n", - " circle_marker_75f5b930a25410029e23de4b2bf1266d.bindPopup(popup_d030fcbce30e0de89c13204e3b97d2ca)\n", + " circle_marker_b4d4df8ac5b59a8f4749027359da5ae7.bindPopup(popup_2c11430c44381bea100e01d5d000ca18)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_29e58c19ab33fdd88d0c5e220af8959b = L.circleMarker(\n", + " var circle_marker_1ead29f11a31383122514a5d14586961 = L.circleMarker(\n", " [43.6589193, -79.3961886],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_c6ca4cd9949127fc7ebecc8d3afbcad5 = L.popup({"maxWidth": "100%"});\n", + " var popup_e95bc31ed8cdf9753cd4e1cf291e34e6 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0a334d2330352cfb0e967318346d562a = $(`<div id="html_0a334d2330352cfb0e967318346d562a" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", - " popup_c6ca4cd9949127fc7ebecc8d3afbcad5.setContent(html_0a334d2330352cfb0e967318346d562a);\n", + " var html_92cfb23ce0949edc401815b677b23e97 = $(`<div id="html_92cfb23ce0949edc401815b677b23e97" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", + " popup_e95bc31ed8cdf9753cd4e1cf291e34e6.setContent(html_92cfb23ce0949edc401815b677b23e97);\n", " \n", "\n", - " circle_marker_29e58c19ab33fdd88d0c5e220af8959b.bindPopup(popup_c6ca4cd9949127fc7ebecc8d3afbcad5)\n", + " circle_marker_1ead29f11a31383122514a5d14586961.bindPopup(popup_e95bc31ed8cdf9753cd4e1cf291e34e6)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7a8fac595b3bc03d796e432a3011245c = L.circleMarker(\n", + " var circle_marker_0d254dd81b5fa63e14b41977be01509c = L.circleMarker(\n", " [43.6638297, -79.398336],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_3de0b7b3aeb26b026f43285ce8fa0dfc = L.popup({"maxWidth": "100%"});\n", + " var popup_3602376d4941532ea2c289f1287b77ee = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_668205c43a22780e51a5c95c08d97d91 = $(`<div id="html_668205c43a22780e51a5c95c08d97d91" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", - " popup_3de0b7b3aeb26b026f43285ce8fa0dfc.setContent(html_668205c43a22780e51a5c95c08d97d91);\n", + " var html_1b448ce56bd8f95ca7c32f6691b427ba = $(`<div id="html_1b448ce56bd8f95ca7c32f6691b427ba" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", + " popup_3602376d4941532ea2c289f1287b77ee.setContent(html_1b448ce56bd8f95ca7c32f6691b427ba);\n", " \n", "\n", - " circle_marker_7a8fac595b3bc03d796e432a3011245c.bindPopup(popup_3de0b7b3aeb26b026f43285ce8fa0dfc)\n", + " circle_marker_0d254dd81b5fa63e14b41977be01509c.bindPopup(popup_3602376d4941532ea2c289f1287b77ee)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8ca53559402c55e1c8098ce1b0199222 = L.circleMarker(\n", + " var circle_marker_bbd15c4128a4e76cd410b442d223d52d = L.circleMarker(\n", " [43.6625236, -79.3977902],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_095f9fa89f546430c8e4a75080b41fad = L.popup({"maxWidth": "100%"});\n", + " var popup_9c4784dd70bfabd9676ca5b4aed51be8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_16172989794857adf76f426d56a03ea1 = $(`<div id="html_16172989794857adf76f426d56a03ea1" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", - " popup_095f9fa89f546430c8e4a75080b41fad.setContent(html_16172989794857adf76f426d56a03ea1);\n", + " var html_b5bcacb83f49ca08688802674af75cab = $(`<div id="html_b5bcacb83f49ca08688802674af75cab" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", + " popup_9c4784dd70bfabd9676ca5b4aed51be8.setContent(html_b5bcacb83f49ca08688802674af75cab);\n", " \n", "\n", - " circle_marker_8ca53559402c55e1c8098ce1b0199222.bindPopup(popup_095f9fa89f546430c8e4a75080b41fad)\n", + " circle_marker_bbd15c4128a4e76cd410b442d223d52d.bindPopup(popup_9c4784dd70bfabd9676ca5b4aed51be8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7287e10ff505e18c0b0329a0b4ac5268 = L.circleMarker(\n", + " var circle_marker_495cc28663718af349cabb40b73cbcbe = L.circleMarker(\n", " [43.6642728, -79.3985142],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_fa76a17b0d227aa2cbfa48c222fd81b2 = L.popup({"maxWidth": "100%"});\n", + " var popup_a0d5bfa6964fd69442903f48d989830b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_80d50646acb0b29575b2fe6dff9c1f91 = $(`<div id="html_80d50646acb0b29575b2fe6dff9c1f91" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", - " popup_fa76a17b0d227aa2cbfa48c222fd81b2.setContent(html_80d50646acb0b29575b2fe6dff9c1f91);\n", + " var html_bc73cfab5adf093c05e1c4aeac066c7f = $(`<div id="html_bc73cfab5adf093c05e1c4aeac066c7f" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", + " popup_a0d5bfa6964fd69442903f48d989830b.setContent(html_bc73cfab5adf093c05e1c4aeac066c7f);\n", " \n", "\n", - " circle_marker_7287e10ff505e18c0b0329a0b4ac5268.bindPopup(popup_fa76a17b0d227aa2cbfa48c222fd81b2)\n", + " circle_marker_495cc28663718af349cabb40b73cbcbe.bindPopup(popup_a0d5bfa6964fd69442903f48d989830b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e7d87b4d65056d0bfbafadb5ca46b0b5 = L.circleMarker(\n", + " var circle_marker_9c721aae379aa6a8d7f8a9b48921f854 = L.circleMarker(\n", " [43.6633158, -79.3981203],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_d9b1d45541ccae5596c65863ecaf9b63 = L.popup({"maxWidth": "100%"});\n", + " var popup_41c512998eda799a39e7f5ce083619fe = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a0b4af4a3ea887529e2ca0239d7caa91 = $(`<div id="html_a0b4af4a3ea887529e2ca0239d7caa91" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", - " popup_d9b1d45541ccae5596c65863ecaf9b63.setContent(html_a0b4af4a3ea887529e2ca0239d7caa91);\n", + " var html_6b4f7994cda2fd597a81b22955fe7aa6 = $(`<div id="html_6b4f7994cda2fd597a81b22955fe7aa6" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", + " popup_41c512998eda799a39e7f5ce083619fe.setContent(html_6b4f7994cda2fd597a81b22955fe7aa6);\n", " \n", "\n", - " circle_marker_e7d87b4d65056d0bfbafadb5ca46b0b5.bindPopup(popup_d9b1d45541ccae5596c65863ecaf9b63)\n", + " circle_marker_9c721aae379aa6a8d7f8a9b48921f854.bindPopup(popup_41c512998eda799a39e7f5ce083619fe)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_6842e93e21662cb74fac9b320f629673 = L.circleMarker(\n", + " var circle_marker_4b49727372a7eee9c87f397ac37b771a = L.circleMarker(\n", " [43.6608721, -79.3971022],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_900a505b5df16c8d3326bfad2fa68d7e = L.popup({"maxWidth": "100%"});\n", + " var popup_a4c273a44b70d1f89223b2326de8df27 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_541ad31beede34e32d65d63c7cabcb2e = $(`<div id="html_541ad31beede34e32d65d63c7cabcb2e" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", - " popup_900a505b5df16c8d3326bfad2fa68d7e.setContent(html_541ad31beede34e32d65d63c7cabcb2e);\n", + " var html_e3abc287cfd71042a5e65ed6f86b0f57 = $(`<div id="html_e3abc287cfd71042a5e65ed6f86b0f57" style="width: 100.0%; height: 100.0%;">St George Street</div>`)[0];\n", + " popup_a4c273a44b70d1f89223b2326de8df27.setContent(html_e3abc287cfd71042a5e65ed6f86b0f57);\n", " \n", "\n", - " circle_marker_6842e93e21662cb74fac9b320f629673.bindPopup(popup_900a505b5df16c8d3326bfad2fa68d7e)\n", + " circle_marker_4b49727372a7eee9c87f397ac37b771a.bindPopup(popup_a4c273a44b70d1f89223b2326de8df27)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c6aa858056aa3fa35f65ce0da6e61f32 = L.circleMarker(\n", + " var circle_marker_bb16c13a0e6bf0b4e70ed7539ce21af1 = L.circleMarker(\n", " [43.6636066, -79.3995401],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_ac1ea7a058b4959e12655d84c18d2d16 = L.popup({"maxWidth": "100%"});\n", + " var popup_a52c0071dec3ff1bac65108ec65fcf09 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_aeae7d74ee89f45acbf3dba9d67dc3dc = $(`<div id="html_aeae7d74ee89f45acbf3dba9d67dc3dc" style="width: 100.0%; height: 100.0%;">Harbord Street</div>`)[0];\n", - " popup_ac1ea7a058b4959e12655d84c18d2d16.setContent(html_aeae7d74ee89f45acbf3dba9d67dc3dc);\n", + " var html_e1bc4c642570faba416388d50860b8e5 = $(`<div id="html_e1bc4c642570faba416388d50860b8e5" style="width: 100.0%; height: 100.0%;">Harbord Street</div>`)[0];\n", + " popup_a52c0071dec3ff1bac65108ec65fcf09.setContent(html_e1bc4c642570faba416388d50860b8e5);\n", " \n", "\n", - " circle_marker_c6aa858056aa3fa35f65ce0da6e61f32.bindPopup(popup_ac1ea7a058b4959e12655d84c18d2d16)\n", + " circle_marker_bb16c13a0e6bf0b4e70ed7539ce21af1.bindPopup(popup_a52c0071dec3ff1bac65108ec65fcf09)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_29931ea3fd24a9fb2874ef021f8b8bbd = L.circleMarker(\n", + " var circle_marker_05c16f714b75bfe9c30e422466339090 = L.circleMarker(\n", " [43.6602649, -79.4009095],\n", " {"bubblingMouseEvents": true, "color": "black", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "black", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab);\n", + " ).addTo(feature_group_803d9a3f4b34f19348ba88374f7b3978);\n", " \n", " \n", - " var popup_f15850f878f770465a1d03e2eca63b11 = L.popup({"maxWidth": "100%"});\n", + " var popup_c8be88a15168809b404c2329864acef0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_dc5bf0ef43fa6fb3ac655147466352f6 = $(`<div id="html_dc5bf0ef43fa6fb3ac655147466352f6" style="width: 100.0%; height: 100.0%;">n/a</div>`)[0];\n", - " popup_f15850f878f770465a1d03e2eca63b11.setContent(html_dc5bf0ef43fa6fb3ac655147466352f6);\n", + " var html_275c9c18866baf166a5fba9d96798a12 = $(`<div id="html_275c9c18866baf166a5fba9d96798a12" style="width: 100.0%; height: 100.0%;">n/a</div>`)[0];\n", + " popup_c8be88a15168809b404c2329864acef0.setContent(html_275c9c18866baf166a5fba9d96798a12);\n", " \n", "\n", - " circle_marker_29931ea3fd24a9fb2874ef021f8b8bbd.bindPopup(popup_f15850f878f770465a1d03e2eca63b11)\n", + " circle_marker_05c16f714b75bfe9c30e422466339090.bindPopup(popup_c8be88a15168809b404c2329864acef0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var feature_group_6d1226bdb1bcc890d6cea15c90a16e79 = L.featureGroup(\n", + " var feature_group_aec0b396060d835c1178f1702d0b176f = L.featureGroup(\n", " {}\n", - " ).addTo(map_41d5c158b9b4af1df3657788a30e2ee9);\n", + " ).addTo(map_b02cf1635014e3a5a2eb955eaae19375);\n", " \n", " \n", - " var circle_marker_1eada5f6f411621ab63ab8dbae7dc62a = L.circleMarker(\n", + " var circle_marker_ddb67eb6125f805d522ad8c4660248dc = L.circleMarker(\n", " [43.6620255, -79.3960591],\n", " {"bubblingMouseEvents": true, "color": "coral", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "coral", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 30, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_6d1226bdb1bcc890d6cea15c90a16e79);\n", + " ).addTo(feature_group_aec0b396060d835c1178f1702d0b176f);\n", " \n", " \n", - " var popup_5cee69fb677db949c515347071943929 = L.popup({"autoClose": false, "maxWidth": "100%"});\n", + " var popup_8faa57e99beb922dd60c57d6a2b4f41b = L.popup({"autoClose": false, "maxWidth": "100%"});\n", "\n", " \n", - " var html_94d796b1ba78e4fa60f89d0fdd3853f3 = $(`<div id="html_94d796b1ba78e4fa60f89d0fdd3853f3" style="width: 100.0%; height: 100.0%;">Sited First Aid Station (index: 9)</div>`)[0];\n", - " popup_5cee69fb677db949c515347071943929.setContent(html_94d796b1ba78e4fa60f89d0fdd3853f3);\n", + " var html_6637d603647577d2b8e62ebddb406a58 = $(`<div id="html_6637d603647577d2b8e62ebddb406a58" style="width: 100.0%; height: 100.0%;">Sited First Aid Station (index: 9)</div>`)[0];\n", + " popup_8faa57e99beb922dd60c57d6a2b4f41b.setContent(html_6637d603647577d2b8e62ebddb406a58);\n", " \n", "\n", - " circle_marker_1eada5f6f411621ab63ab8dbae7dc62a.bindPopup(popup_5cee69fb677db949c515347071943929)\n", + " circle_marker_ddb67eb6125f805d522ad8c4660248dc.bindPopup(popup_8faa57e99beb922dd60c57d6a2b4f41b)\n", " .openPopup();\n", "\n", " \n", " \n", " \n", - " var circle_marker_a06bf92986e3b7ed09a12f39c664e8ab = L.circleMarker(\n", + " var circle_marker_9c343bad7af08829f5d1e6f8604414f2 = L.circleMarker(\n", " [43.6638961, -79.398738],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 30, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_6d1226bdb1bcc890d6cea15c90a16e79);\n", + " ).addTo(feature_group_aec0b396060d835c1178f1702d0b176f);\n", " \n", " \n", - " var popup_2028051d0abc62aafa94c7f2e5692ba0 = L.popup({"autoClose": false, "maxWidth": "100%"});\n", + " var popup_bb8d7884fff86d85491bbc6abd8b5ebe = L.popup({"autoClose": false, "maxWidth": "100%"});\n", "\n", " \n", - " var html_6591ceb5fe23718e6fc72b834dc2e21a = $(`<div id="html_6591ceb5fe23718e6fc72b834dc2e21a" style="width: 100.0%; height: 100.0%;">Sited First Aid Station (index: 23)</div>`)[0];\n", - " popup_2028051d0abc62aafa94c7f2e5692ba0.setContent(html_6591ceb5fe23718e6fc72b834dc2e21a);\n", + " var html_033abda5dbbcd9160122f978f0e1b28f = $(`<div id="html_033abda5dbbcd9160122f978f0e1b28f" style="width: 100.0%; height: 100.0%;">Sited First Aid Station (index: 23)</div>`)[0];\n", + " popup_bb8d7884fff86d85491bbc6abd8b5ebe.setContent(html_033abda5dbbcd9160122f978f0e1b28f);\n", " \n", "\n", - " circle_marker_a06bf92986e3b7ed09a12f39c664e8ab.bindPopup(popup_2028051d0abc62aafa94c7f2e5692ba0)\n", + " circle_marker_9c343bad7af08829f5d1e6f8604414f2.bindPopup(popup_bb8d7884fff86d85491bbc6abd8b5ebe)\n", " .openPopup();\n", "\n", " \n", " \n", " \n", - " var circle_marker_dda274441dcc724b7a9ec7601d351fdb = L.circleMarker(\n", + " var circle_marker_68eced5f2650fe264b9c9ae7b26a9b16 = L.circleMarker(\n", " [43.6656079, -79.3879367],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 30, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_6d1226bdb1bcc890d6cea15c90a16e79);\n", + " ).addTo(feature_group_aec0b396060d835c1178f1702d0b176f);\n", " \n", " \n", - " var popup_66bec956f16d09b6f5b0e352448b7036 = L.popup({"autoClose": false, "maxWidth": "100%"});\n", + " var popup_7a7ca1b56d4ad1566b0cab59c727c89d = L.popup({"autoClose": false, "maxWidth": "100%"});\n", "\n", " \n", - " var html_31d8772288a42551679e5b4952ee59d8 = $(`<div id="html_31d8772288a42551679e5b4952ee59d8" style="width: 100.0%; height: 100.0%;">Sited First Aid Station (index: 29)</div>`)[0];\n", - " popup_66bec956f16d09b6f5b0e352448b7036.setContent(html_31d8772288a42551679e5b4952ee59d8);\n", + " var html_e15685072ac9b06e9ec8d560809107ca = $(`<div id="html_e15685072ac9b06e9ec8d560809107ca" style="width: 100.0%; height: 100.0%;">Sited First Aid Station (index: 29)</div>`)[0];\n", + " popup_7a7ca1b56d4ad1566b0cab59c727c89d.setContent(html_e15685072ac9b06e9ec8d560809107ca);\n", " \n", "\n", - " circle_marker_dda274441dcc724b7a9ec7601d351fdb.bindPopup(popup_66bec956f16d09b6f5b0e352448b7036)\n", + " circle_marker_68eced5f2650fe264b9c9ae7b26a9b16.bindPopup(popup_7a7ca1b56d4ad1566b0cab59c727c89d)\n", " .openPopup();\n", "\n", " \n", " \n", " \n", - " var feature_group_84a471c4e865d50c655595fddfe1e70f = L.featureGroup(\n", + " var feature_group_f4b45aab71626d3bd4a3e4533df5bb8a = L.featureGroup(\n", " {}\n", - " ).addTo(map_41d5c158b9b4af1df3657788a30e2ee9);\n", + " ).addTo(map_b02cf1635014e3a5a2eb955eaae19375);\n", " \n", " \n", - " var circle_marker_fb2c025026652290cb0842534e4555d8 = L.circleMarker(\n", + " var circle_marker_2e5716c58549db99cff1f103af62e2de = L.circleMarker(\n", " [43.6643897, -79.3994442],\n", " {"bubblingMouseEvents": true, "color": "coral", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "coral", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 16, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_b2f9ac990a42e02c916e0c4958138b2f = L.popup({"maxWidth": "100%"});\n", + " var popup_9b4ab393b1fa64a8aa4dd253631b2887 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_eb5a120daca49c12442c5b5b998996e3 = $(`<div id="html_eb5a120daca49c12442c5b5b998996e3" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 9</div>`)[0];\n", - " popup_b2f9ac990a42e02c916e0c4958138b2f.setContent(html_eb5a120daca49c12442c5b5b998996e3);\n", + " var html_e890905af8e26d0d75777f22b33e12fc = $(`<div id="html_e890905af8e26d0d75777f22b33e12fc" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 9</div>`)[0];\n", + " popup_9b4ab393b1fa64a8aa4dd253631b2887.setContent(html_e890905af8e26d0d75777f22b33e12fc);\n", " \n", "\n", - " circle_marker_fb2c025026652290cb0842534e4555d8.bindPopup(popup_b2f9ac990a42e02c916e0c4958138b2f)\n", + " circle_marker_2e5716c58549db99cff1f103af62e2de.bindPopup(popup_9b4ab393b1fa64a8aa4dd253631b2887)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0c37b89297181e0dc4ee84224bdc497b = L.circleMarker(\n", + " var circle_marker_a681abe0ec96cff15b441b2bb40d32eb = L.circleMarker(\n", " [43.6631765, -79.3946172],\n", " {"bubblingMouseEvents": true, "color": "coral", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "coral", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 16, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_71c83ff22bfb5e7ba6fe3e2a9b4a5b1d = L.popup({"maxWidth": "100%"});\n", + " var popup_d1cd5889799a4e0b2f57b7bc369f30d5 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f72745822fa89f035ad6eaec711ec736 = $(`<div id="html_f72745822fa89f035ad6eaec711ec736" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 9</div>`)[0];\n", - " popup_71c83ff22bfb5e7ba6fe3e2a9b4a5b1d.setContent(html_f72745822fa89f035ad6eaec711ec736);\n", + " var html_5083965523d16fdc75f942ad4a5ce041 = $(`<div id="html_5083965523d16fdc75f942ad4a5ce041" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 9</div>`)[0];\n", + " popup_d1cd5889799a4e0b2f57b7bc369f30d5.setContent(html_5083965523d16fdc75f942ad4a5ce041);\n", " \n", "\n", - " circle_marker_0c37b89297181e0dc4ee84224bdc497b.bindPopup(popup_71c83ff22bfb5e7ba6fe3e2a9b4a5b1d)\n", + " circle_marker_a681abe0ec96cff15b441b2bb40d32eb.bindPopup(popup_d1cd5889799a4e0b2f57b7bc369f30d5)\n", " ;\n", "\n", " \n", " \n", " \n", - 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" ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_e792955e26972dae17a769a246d2e8c7 = L.popup({"maxWidth": "100%"});\n", + " var popup_1bcd204c7ddf7815893cb0db28869aea = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_c0b349c74f953149122c22aee8846fe1 = $(`<div id="html_c0b349c74f953149122c22aee8846fe1" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 9</div>`)[0];\n", - " popup_e792955e26972dae17a769a246d2e8c7.setContent(html_c0b349c74f953149122c22aee8846fe1);\n", + " var html_b902183ff77c45d6782261807ff00d2d = $(`<div id="html_b902183ff77c45d6782261807ff00d2d" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 9</div>`)[0];\n", + " popup_1bcd204c7ddf7815893cb0db28869aea.setContent(html_b902183ff77c45d6782261807ff00d2d);\n", " \n", "\n", - " circle_marker_1cee400c77457a43e2d7806472fec885.bindPopup(popup_e792955e26972dae17a769a246d2e8c7)\n", + " circle_marker_d368f0c4bf0a3360a96f02faaeb56a42.bindPopup(popup_1bcd204c7ddf7815893cb0db28869aea)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e3cec3978351de6460451df3491840d3 = L.circleMarker(\n", + " var circle_marker_103033616a0fcfdfc5fc8f4d23e3c0c3 = L.circleMarker(\n", " [43.6642008, -79.3952518],\n", " {"bubblingMouseEvents": true, "color": "coral", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "coral", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 16, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_afe633a3a0194c7517bcd2f7139e4cde = L.popup({"maxWidth": "100%"});\n", + " var popup_1648ae07ddaa81032e6c7c06b4549fff = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e4a0a278e54d341fc5c987e80dc9f367 = $(`<div id="html_e4a0a278e54d341fc5c987e80dc9f367" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 9</div>`)[0];\n", - " popup_afe633a3a0194c7517bcd2f7139e4cde.setContent(html_e4a0a278e54d341fc5c987e80dc9f367);\n", + " var html_2b50c86cb2e26e66758a2d6aa3575ffb = $(`<div id="html_2b50c86cb2e26e66758a2d6aa3575ffb" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 9</div>`)[0];\n", + " popup_1648ae07ddaa81032e6c7c06b4549fff.setContent(html_2b50c86cb2e26e66758a2d6aa3575ffb);\n", " \n", "\n", - " circle_marker_e3cec3978351de6460451df3491840d3.bindPopup(popup_afe633a3a0194c7517bcd2f7139e4cde)\n", + " circle_marker_103033616a0fcfdfc5fc8f4d23e3c0c3.bindPopup(popup_1648ae07ddaa81032e6c7c06b4549fff)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_51a79de57b595675bb489ccc3c95019b = L.circleMarker(\n", + " var circle_marker_fe32a41313c49c0d34609e73696a2c74 = L.circleMarker(\n", " [43.6597085, -79.3974539],\n", " {"bubblingMouseEvents": true, "color": "coral", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "coral", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 16, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_bad5bd3713f52dadc8385a8c8276b033 = L.popup({"maxWidth": "100%"});\n", + " var popup_18a8b201cb96a300c3a83653f3070fca = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a26fdb4613abbb50cf69c0563f21a617 = $(`<div id="html_a26fdb4613abbb50cf69c0563f21a617" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 9</div>`)[0];\n", - " popup_bad5bd3713f52dadc8385a8c8276b033.setContent(html_a26fdb4613abbb50cf69c0563f21a617);\n", + " var html_9662a3ed9985bf38b2115bb77149d31f = $(`<div id="html_9662a3ed9985bf38b2115bb77149d31f" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 9</div>`)[0];\n", + " popup_18a8b201cb96a300c3a83653f3070fca.setContent(html_9662a3ed9985bf38b2115bb77149d31f);\n", " \n", "\n", - " circle_marker_51a79de57b595675bb489ccc3c95019b.bindPopup(popup_bad5bd3713f52dadc8385a8c8276b033)\n", + " circle_marker_fe32a41313c49c0d34609e73696a2c74.bindPopup(popup_18a8b201cb96a300c3a83653f3070fca)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d0b19c3daea952b2124fee78096dd8f0 = L.circleMarker(\n", + " var circle_marker_04523c0c11a0d719b6fb1d881186321e = L.circleMarker(\n", " [43.660776, -79.3954478],\n", " {"bubblingMouseEvents": true, "color": "coral", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "coral", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 16, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_050f0d5bc7da9c071e75abf8c92c3396 = L.popup({"maxWidth": "100%"});\n", + " var popup_f0e655afdf76fd6166d41a059d47e82b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_7ae5ac55471ec882e6f8843668c0f63b = $(`<div id="html_7ae5ac55471ec882e6f8843668c0f63b" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 9</div>`)[0];\n", - " popup_050f0d5bc7da9c071e75abf8c92c3396.setContent(html_7ae5ac55471ec882e6f8843668c0f63b);\n", + " var html_aa8ba62c652be30f4ed7c9592555a21c = $(`<div id="html_aa8ba62c652be30f4ed7c9592555a21c" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 9</div>`)[0];\n", + " popup_f0e655afdf76fd6166d41a059d47e82b.setContent(html_aa8ba62c652be30f4ed7c9592555a21c);\n", " \n", "\n", - " circle_marker_d0b19c3daea952b2124fee78096dd8f0.bindPopup(popup_050f0d5bc7da9c071e75abf8c92c3396)\n", + " circle_marker_04523c0c11a0d719b6fb1d881186321e.bindPopup(popup_f0e655afdf76fd6166d41a059d47e82b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ca0c3fdf32a9a29d8b227d7b3b1f8e37 = L.circleMarker(\n", + " var circle_marker_fb1e044ed6e567cb8e251421806566f4 = L.circleMarker(\n", " [43.6600624, -79.3932673],\n", " {"bubblingMouseEvents": true, "color": "coral", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "coral", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 16, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_61967e4ae5c606b0628c17467a936ec8 = L.popup({"maxWidth": "100%"});\n", + " var popup_42fcc82f09e7ee5d0f485ab5c6ab9f37 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_133773b2947cbfc0c439f1d6bfa244e4 = $(`<div id="html_133773b2947cbfc0c439f1d6bfa244e4" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 9</div>`)[0];\n", - " popup_61967e4ae5c606b0628c17467a936ec8.setContent(html_133773b2947cbfc0c439f1d6bfa244e4);\n", + " var html_acc9abcf860ea6623699fc1dab7d83c5 = $(`<div id="html_acc9abcf860ea6623699fc1dab7d83c5" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 9</div>`)[0];\n", + " popup_42fcc82f09e7ee5d0f485ab5c6ab9f37.setContent(html_acc9abcf860ea6623699fc1dab7d83c5);\n", " \n", "\n", - 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" var html_71cf240d8c75644be6e0585971ee61ed = $(`<div id="html_71cf240d8c75644be6e0585971ee61ed" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 9</div>`)[0];\n", - " popup_7068139f384cd44ef92417bdadf2c666.setContent(html_71cf240d8c75644be6e0585971ee61ed);\n", + " var html_525d7316fa369936cd9e80a0fafec6db = $(`<div id="html_525d7316fa369936cd9e80a0fafec6db" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 9</div>`)[0];\n", + " popup_89b88675730e8cf16c6a313232e2b14d.setContent(html_525d7316fa369936cd9e80a0fafec6db);\n", " \n", "\n", - " circle_marker_72d63333f905808eda6398afe9e91454.bindPopup(popup_7068139f384cd44ef92417bdadf2c666)\n", + " circle_marker_c131ad1379bf7992b02dc8afd3ba881d.bindPopup(popup_89b88675730e8cf16c6a313232e2b14d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_37f2d74fc1c4fd3a1b95a28c7446f07f = L.circleMarker(\n", + " var circle_marker_adee7c2e1c1728f50eb5c764be4adab7 = L.circleMarker(\n", " [43.6607415, -79.3965722],\n", " {"bubblingMouseEvents": true, "color": "coral", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "coral", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 16, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_a5c5c3a7f59245881f66e87f79e55fe2 = L.popup({"maxWidth": "100%"});\n", + " var popup_0766c780cac9cb3c06a2091a4f8b8e6c = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_8cc28161eb1203ad5734c54425df97fa = $(`<div id="html_8cc28161eb1203ad5734c54425df97fa" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 9</div>`)[0];\n", - " popup_a5c5c3a7f59245881f66e87f79e55fe2.setContent(html_8cc28161eb1203ad5734c54425df97fa);\n", + " var html_03463670dda3595c2bf34efbd60e09a7 = $(`<div id="html_03463670dda3595c2bf34efbd60e09a7" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 9</div>`)[0];\n", + " popup_0766c780cac9cb3c06a2091a4f8b8e6c.setContent(html_03463670dda3595c2bf34efbd60e09a7);\n", " \n", "\n", - " circle_marker_37f2d74fc1c4fd3a1b95a28c7446f07f.bindPopup(popup_a5c5c3a7f59245881f66e87f79e55fe2)\n", + " circle_marker_adee7c2e1c1728f50eb5c764be4adab7.bindPopup(popup_0766c780cac9cb3c06a2091a4f8b8e6c)\n", " ;\n", "\n", " \n", " \n", " \n", - 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" var html_600114cb7e0637c02d98e5ebced45128 = $(`<div id="html_600114cb7e0637c02d98e5ebced45128" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_3817203f4804a1f6749d05bd80915903.setContent(html_600114cb7e0637c02d98e5ebced45128);\n", + " var html_dbf9b1e77be3ad085123574d130e1ff0 = $(`<div id="html_dbf9b1e77be3ad085123574d130e1ff0" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_ab0c4224bf0ba425db3b9cad99e0b100.setContent(html_dbf9b1e77be3ad085123574d130e1ff0);\n", " \n", "\n", - " circle_marker_816bd208da550a207b7dc408fb66d18e.bindPopup(popup_3817203f4804a1f6749d05bd80915903)\n", + " circle_marker_f18d116a77178e792e279cb9dfc3d14d.bindPopup(popup_ab0c4224bf0ba425db3b9cad99e0b100)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_34ad1741adab0ea56572c812b65b07f5 = L.circleMarker(\n", + " var circle_marker_02bf958029f41c338904573a92f19761 = L.circleMarker(\n", " [43.6643897, -79.3994442],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_97c07b397703c6b42a13097b85e4e26d = L.popup({"maxWidth": "100%"});\n", + " var popup_285eadf032ebc229e73379fab1af9c2b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_dbcaf882776a5f9020ccf3f65e9455f2 = $(`<div id="html_dbcaf882776a5f9020ccf3f65e9455f2" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_97c07b397703c6b42a13097b85e4e26d.setContent(html_dbcaf882776a5f9020ccf3f65e9455f2);\n", + " var html_a6486a828477ee458832804cdf500c70 = $(`<div id="html_a6486a828477ee458832804cdf500c70" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_285eadf032ebc229e73379fab1af9c2b.setContent(html_a6486a828477ee458832804cdf500c70);\n", " \n", "\n", - " circle_marker_34ad1741adab0ea56572c812b65b07f5.bindPopup(popup_97c07b397703c6b42a13097b85e4e26d)\n", + " circle_marker_02bf958029f41c338904573a92f19761.bindPopup(popup_285eadf032ebc229e73379fab1af9c2b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_63e6fb87a187115ae15777e9c478243b = L.circleMarker(\n", + " var circle_marker_3c02756f776911ff46a57eb030a19bc4 = L.circleMarker(\n", " [43.662544, -79.3971848],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_e02d5c3dd0479e62a29ebd5b4f819ee6 = L.popup({"maxWidth": "100%"});\n", + " var popup_62f14573b3afcb0e412fcc7208a45ad9 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_eaeeae7f7c5b97ff614a57303998ea18 = $(`<div id="html_eaeeae7f7c5b97ff614a57303998ea18" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_e02d5c3dd0479e62a29ebd5b4f819ee6.setContent(html_eaeeae7f7c5b97ff614a57303998ea18);\n", + " var html_144dc472c94f16aff5f73aa85c1c1345 = $(`<div id="html_144dc472c94f16aff5f73aa85c1c1345" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_62f14573b3afcb0e412fcc7208a45ad9.setContent(html_144dc472c94f16aff5f73aa85c1c1345);\n", " \n", "\n", - " circle_marker_63e6fb87a187115ae15777e9c478243b.bindPopup(popup_e02d5c3dd0479e62a29ebd5b4f819ee6)\n", + " circle_marker_3c02756f776911ff46a57eb030a19bc4.bindPopup(popup_62f14573b3afcb0e412fcc7208a45ad9)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0949523802d696763bfc8939044fab6c = L.circleMarker(\n", + " var circle_marker_c04809574b84b85870d0367b2c0af1a8 = L.circleMarker(\n", " [43.6628344, -79.3958563],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_9e212195007067e6b9b65f067bcbed73 = L.popup({"maxWidth": "100%"});\n", + " var popup_da77b44af4f288012b26bc27448dc011 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_23dd5197a58c262504a0ac58a7635bb4 = $(`<div id="html_23dd5197a58c262504a0ac58a7635bb4" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_9e212195007067e6b9b65f067bcbed73.setContent(html_23dd5197a58c262504a0ac58a7635bb4);\n", + " var html_dfb84a5cd1d586b1e664bac772e7da2e = $(`<div id="html_dfb84a5cd1d586b1e664bac772e7da2e" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_da77b44af4f288012b26bc27448dc011.setContent(html_dfb84a5cd1d586b1e664bac772e7da2e);\n", " \n", "\n", - " circle_marker_0949523802d696763bfc8939044fab6c.bindPopup(popup_9e212195007067e6b9b65f067bcbed73)\n", + " circle_marker_c04809574b84b85870d0367b2c0af1a8.bindPopup(popup_da77b44af4f288012b26bc27448dc011)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_28726c901b4f7f8b92630b7486ec5ced = L.circleMarker(\n", + " var circle_marker_bcc1bc204fe3ee4a45d5c86c03c37c93 = L.circleMarker(\n", " [43.6591667, -79.3968996],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_b47808c61a4cf40020842ed5a344bf8c = L.popup({"maxWidth": "100%"});\n", + " var popup_f0cde858f06700016002b96170f36445 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a0041457f99bf185f0395997be0adb38 = $(`<div id="html_a0041457f99bf185f0395997be0adb38" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_b47808c61a4cf40020842ed5a344bf8c.setContent(html_a0041457f99bf185f0395997be0adb38);\n", + " var html_5ad400d706638973a826be98e3050358 = $(`<div id="html_5ad400d706638973a826be98e3050358" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_f0cde858f06700016002b96170f36445.setContent(html_5ad400d706638973a826be98e3050358);\n", " \n", "\n", - " circle_marker_28726c901b4f7f8b92630b7486ec5ced.bindPopup(popup_b47808c61a4cf40020842ed5a344bf8c)\n", + " circle_marker_bcc1bc204fe3ee4a45d5c86c03c37c93.bindPopup(popup_f0cde858f06700016002b96170f36445)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_46500b04f0148dbe2a7becc262c89746 = L.circleMarker(\n", + " var circle_marker_6f826140f3b25654e992786fec2f4f53 = L.circleMarker(\n", " [43.6596491, -79.4007115],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_c0740afbaedc091f5d49925052f3a286 = L.popup({"maxWidth": "100%"});\n", + " var popup_9638d5a47ebed03bc79127bef27f9276 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_57300785e76bc60fddb3ac8c4e2a17e0 = $(`<div id="html_57300785e76bc60fddb3ac8c4e2a17e0" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_c0740afbaedc091f5d49925052f3a286.setContent(html_57300785e76bc60fddb3ac8c4e2a17e0);\n", + " var html_9772af9de2d06c17350cafb640326c9d = $(`<div id="html_9772af9de2d06c17350cafb640326c9d" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_9638d5a47ebed03bc79127bef27f9276.setContent(html_9772af9de2d06c17350cafb640326c9d);\n", " \n", "\n", - " circle_marker_46500b04f0148dbe2a7becc262c89746.bindPopup(popup_c0740afbaedc091f5d49925052f3a286)\n", + " circle_marker_6f826140f3b25654e992786fec2f4f53.bindPopup(popup_9638d5a47ebed03bc79127bef27f9276)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_19fb715ea8fccc19be0c7f8b7d06b96f = L.circleMarker(\n", + " var circle_marker_e759e54af725fabda1ece312f385e83d = L.circleMarker(\n", " [43.6627537, -79.4010325],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_44dc11df61e002ab56bb03598a4dee5b = L.popup({"maxWidth": "100%"});\n", + " var popup_e249bf56b615b945e700219ccf0c549c = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f5011428d81834720bcfe19f7a92cd83 = $(`<div id="html_f5011428d81834720bcfe19f7a92cd83" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_44dc11df61e002ab56bb03598a4dee5b.setContent(html_f5011428d81834720bcfe19f7a92cd83);\n", + " var html_085699507c00be5ce8ff3024a7d142e0 = $(`<div id="html_085699507c00be5ce8ff3024a7d142e0" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_e249bf56b615b945e700219ccf0c549c.setContent(html_085699507c00be5ce8ff3024a7d142e0);\n", " \n", "\n", - " circle_marker_19fb715ea8fccc19be0c7f8b7d06b96f.bindPopup(popup_44dc11df61e002ab56bb03598a4dee5b)\n", + " circle_marker_e759e54af725fabda1ece312f385e83d.bindPopup(popup_e249bf56b615b945e700219ccf0c549c)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2711f587238de407d6455ca3518409a1 = L.circleMarker(\n", + " var circle_marker_22ac46e0a2a4888e6be9cc5234183cf3 = L.circleMarker(\n", " [43.6664141, -79.3921389],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_6ad4f5defe68e9a8ecd741871f4f3950 = L.popup({"maxWidth": "100%"});\n", + " var popup_72754a1183cb816f52db981346ced32c = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_39f42d68e9b1470d5f8b4b97be1521ae = $(`<div id="html_39f42d68e9b1470d5f8b4b97be1521ae" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_6ad4f5defe68e9a8ecd741871f4f3950.setContent(html_39f42d68e9b1470d5f8b4b97be1521ae);\n", + " var html_fe6e1a7410892399a2c97b24ceb7f012 = $(`<div id="html_fe6e1a7410892399a2c97b24ceb7f012" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_72754a1183cb816f52db981346ced32c.setContent(html_fe6e1a7410892399a2c97b24ceb7f012);\n", " \n", "\n", - " circle_marker_2711f587238de407d6455ca3518409a1.bindPopup(popup_6ad4f5defe68e9a8ecd741871f4f3950)\n", + " circle_marker_22ac46e0a2a4888e6be9cc5234183cf3.bindPopup(popup_72754a1183cb816f52db981346ced32c)\n", " ;\n", "\n", " \n", " \n", " \n", - 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" var html_df3e8febea2b42896d07be070d8652e4 = $(`<div id="html_df3e8febea2b42896d07be070d8652e4" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_f91462089d987b156e2b656a1039be31.setContent(html_df3e8febea2b42896d07be070d8652e4);\n", + " var html_8f703bb3cd194e641389f16d85620b36 = $(`<div id="html_8f703bb3cd194e641389f16d85620b36" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_5d4525b17dce423ad20f9a6c63318e2c.setContent(html_8f703bb3cd194e641389f16d85620b36);\n", " \n", "\n", - " circle_marker_d699cd4177e320c5724c528ceae8a4a0.bindPopup(popup_f91462089d987b156e2b656a1039be31)\n", + " circle_marker_23cbe440cb744076dc21ac32fc41ae19.bindPopup(popup_5d4525b17dce423ad20f9a6c63318e2c)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e63b9112a9b4ec256329e4c9f369898c = L.circleMarker(\n", + " var circle_marker_39747512d9eac891181e0eb0f3430ddf = L.circleMarker(\n", " [43.6632684, -79.39906],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_245466138430af5a3d1169e70746c405 = L.popup({"maxWidth": "100%"});\n", + " var popup_410d116caf4abc60731d92eccb86405f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0bd7aa86173cd18495af71f72cb52ced = $(`<div id="html_0bd7aa86173cd18495af71f72cb52ced" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_245466138430af5a3d1169e70746c405.setContent(html_0bd7aa86173cd18495af71f72cb52ced);\n", + " var html_98a783140a479f4aadb8f146197852b9 = $(`<div id="html_98a783140a479f4aadb8f146197852b9" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_410d116caf4abc60731d92eccb86405f.setContent(html_98a783140a479f4aadb8f146197852b9);\n", " \n", "\n", - " circle_marker_e63b9112a9b4ec256329e4c9f369898c.bindPopup(popup_245466138430af5a3d1169e70746c405)\n", + " circle_marker_39747512d9eac891181e0eb0f3430ddf.bindPopup(popup_410d116caf4abc60731d92eccb86405f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_563c5df34c598101a8d97b78b36f5769 = L.circleMarker(\n", + " var circle_marker_8b30e7f3dea43b7797ca0945b58c9b44 = L.circleMarker(\n", " [43.6629833, -79.4002584],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_2cad23e2512fb15f6c9f36c5f2908793 = L.popup({"maxWidth": "100%"});\n", + " var popup_254c88ce1cf10ee4cfa8530bb2685f25 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6cc95074ba2bb6c9c6e7c73c996ece41 = $(`<div id="html_6cc95074ba2bb6c9c6e7c73c996ece41" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_2cad23e2512fb15f6c9f36c5f2908793.setContent(html_6cc95074ba2bb6c9c6e7c73c996ece41);\n", + " var html_731ae7f4cfa74158589504d06af63c73 = $(`<div id="html_731ae7f4cfa74158589504d06af63c73" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_254c88ce1cf10ee4cfa8530bb2685f25.setContent(html_731ae7f4cfa74158589504d06af63c73);\n", " \n", "\n", - " circle_marker_563c5df34c598101a8d97b78b36f5769.bindPopup(popup_2cad23e2512fb15f6c9f36c5f2908793)\n", + " circle_marker_8b30e7f3dea43b7797ca0945b58c9b44.bindPopup(popup_254c88ce1cf10ee4cfa8530bb2685f25)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_6b10dd428a063438f57a91cee36beb45 = L.circleMarker(\n", + " var circle_marker_bbe0345247fcb6d6d095178384058ae2 = L.circleMarker(\n", " [43.6640748, -79.398977],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_d9d5a442f0c9693d8c2d89aa0d024a85 = L.popup({"maxWidth": "100%"});\n", + " var popup_a4a39bbf5d55b48037d4296fb937f4b8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_cefd6d0a5fd0639241b4da227fd6e845 = $(`<div id="html_cefd6d0a5fd0639241b4da227fd6e845" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_d9d5a442f0c9693d8c2d89aa0d024a85.setContent(html_cefd6d0a5fd0639241b4da227fd6e845);\n", + " var html_aa62731001e58a0c36e05b9c74ab5ede = $(`<div id="html_aa62731001e58a0c36e05b9c74ab5ede" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_a4a39bbf5d55b48037d4296fb937f4b8.setContent(html_aa62731001e58a0c36e05b9c74ab5ede);\n", " \n", "\n", - " circle_marker_6b10dd428a063438f57a91cee36beb45.bindPopup(popup_d9d5a442f0c9693d8c2d89aa0d024a85)\n", + " circle_marker_bbe0345247fcb6d6d095178384058ae2.bindPopup(popup_a4a39bbf5d55b48037d4296fb937f4b8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_101a06445722d14785a7251051406df0 = L.circleMarker(\n", + " var circle_marker_a2a93065c41188d0186b80ecda7baf54 = L.circleMarker(\n", " [43.6650264, -79.396696],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_398e41c3b14d2a3214c20f73c1ad6d55 = L.popup({"maxWidth": "100%"});\n", + " var popup_9cdf3072cc1b64ada56784efe39f1814 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0549d6cbb12b2d0116a51f9793f21c9e = $(`<div id="html_0549d6cbb12b2d0116a51f9793f21c9e" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_398e41c3b14d2a3214c20f73c1ad6d55.setContent(html_0549d6cbb12b2d0116a51f9793f21c9e);\n", + " var html_6f7a556e65a17d3f5b735b0a19a7eae3 = $(`<div id="html_6f7a556e65a17d3f5b735b0a19a7eae3" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_9cdf3072cc1b64ada56784efe39f1814.setContent(html_6f7a556e65a17d3f5b735b0a19a7eae3);\n", " \n", "\n", - " circle_marker_101a06445722d14785a7251051406df0.bindPopup(popup_398e41c3b14d2a3214c20f73c1ad6d55)\n", + " circle_marker_a2a93065c41188d0186b80ecda7baf54.bindPopup(popup_9cdf3072cc1b64ada56784efe39f1814)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bef84b51d2b517966d9400634d541183 = L.circleMarker(\n", + " var circle_marker_93d71a286b132efbfce5675823edb793 = L.circleMarker(\n", " [43.6650287, -79.3993354],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_19d4c0b0f0be29ca6584d2a57c66078c = L.popup({"maxWidth": "100%"});\n", + " var popup_a5ce200bf559291dd65098f90bdf0200 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_4248539b1ffdb3d71319b60288f5c0e1 = $(`<div id="html_4248539b1ffdb3d71319b60288f5c0e1" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_19d4c0b0f0be29ca6584d2a57c66078c.setContent(html_4248539b1ffdb3d71319b60288f5c0e1);\n", + " var html_69a55d070ea7acbe03057304dd73ee9b = $(`<div id="html_69a55d070ea7acbe03057304dd73ee9b" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_a5ce200bf559291dd65098f90bdf0200.setContent(html_69a55d070ea7acbe03057304dd73ee9b);\n", " \n", "\n", - 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" var html_2ce9bd60f3c212f97df5a153f2128944 = $(`<div id="html_2ce9bd60f3c212f97df5a153f2128944" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_971829860bb8adfb887006414d41fd93.setContent(html_2ce9bd60f3c212f97df5a153f2128944);\n", + " var html_6b2c9e10a61f21a39e0676e1aab222ea = $(`<div id="html_6b2c9e10a61f21a39e0676e1aab222ea" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_5ac638b4dc355e61588f026ea98b72bf.setContent(html_6b2c9e10a61f21a39e0676e1aab222ea);\n", " \n", "\n", - " circle_marker_b3afee164af19cb1a3df491027ea4e74.bindPopup(popup_971829860bb8adfb887006414d41fd93)\n", + " circle_marker_398d1c207055f6d811eebd4cd33cded4.bindPopup(popup_5ac638b4dc355e61588f026ea98b72bf)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e1f2ae2dd5748962fb525e3c9ffc5744 = L.circleMarker(\n", + " var circle_marker_42d1dda0970865cbc60ddeb7c099a9bf = L.circleMarker(\n", " [43.6666055, -79.3945745],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_2396874c65849aa925014c72ef0947ed = L.popup({"maxWidth": "100%"});\n", + " var popup_d0f343fe9db3cd570933c4ae852ec0a1 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_15039660dd8e0b8dee9210f5ddfaba0a = $(`<div id="html_15039660dd8e0b8dee9210f5ddfaba0a" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_2396874c65849aa925014c72ef0947ed.setContent(html_15039660dd8e0b8dee9210f5ddfaba0a);\n", + " var html_7f1c2d42d76b6204f3abddab0f5a8919 = $(`<div id="html_7f1c2d42d76b6204f3abddab0f5a8919" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_d0f343fe9db3cd570933c4ae852ec0a1.setContent(html_7f1c2d42d76b6204f3abddab0f5a8919);\n", " \n", "\n", - " circle_marker_e1f2ae2dd5748962fb525e3c9ffc5744.bindPopup(popup_2396874c65849aa925014c72ef0947ed)\n", + " circle_marker_42d1dda0970865cbc60ddeb7c099a9bf.bindPopup(popup_d0f343fe9db3cd570933c4ae852ec0a1)\n", " ;\n", "\n", " \n", " \n", " \n", - 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" ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_b505c360982962eabb74697c30f162a0 = L.popup({"maxWidth": "100%"});\n", + " var popup_75eae34a6bcf9296db4e4ed9af0a3863 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6c3bebdb4445648a8ec7eff3e34ccc81 = $(`<div id="html_6c3bebdb4445648a8ec7eff3e34ccc81" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_b505c360982962eabb74697c30f162a0.setContent(html_6c3bebdb4445648a8ec7eff3e34ccc81);\n", + " var html_e4b92787f17f141f4cafd82299d5259a = $(`<div id="html_e4b92787f17f141f4cafd82299d5259a" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_75eae34a6bcf9296db4e4ed9af0a3863.setContent(html_e4b92787f17f141f4cafd82299d5259a);\n", " \n", "\n", - " circle_marker_66faf4dce8fe54139969d3c9af3219e7.bindPopup(popup_b505c360982962eabb74697c30f162a0)\n", + " circle_marker_79612043854f8205d16733fb4d68d0d1.bindPopup(popup_75eae34a6bcf9296db4e4ed9af0a3863)\n", " ;\n", "\n", " \n", " \n", " \n", - 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" ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_a2e26fd1132158fce0f90d05e2b08e9e = L.popup({"maxWidth": "100%"});\n", + " var popup_a8910bab605b73870b0daa94017e38ba = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6e615700520ada57d3745b9e7768bf53 = $(`<div id="html_6e615700520ada57d3745b9e7768bf53" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_a2e26fd1132158fce0f90d05e2b08e9e.setContent(html_6e615700520ada57d3745b9e7768bf53);\n", + " var html_e82dc3bbfaf0073f48c97cd149a8c68c = $(`<div id="html_e82dc3bbfaf0073f48c97cd149a8c68c" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_a8910bab605b73870b0daa94017e38ba.setContent(html_e82dc3bbfaf0073f48c97cd149a8c68c);\n", " \n", "\n", - " circle_marker_c4cf31d115f63d2e16e68012dc73a348.bindPopup(popup_a2e26fd1132158fce0f90d05e2b08e9e)\n", + " circle_marker_87a8cca8702596b694395f0103e2ee52.bindPopup(popup_a8910bab605b73870b0daa94017e38ba)\n", " ;\n", "\n", " \n", " \n", " \n", - 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" ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_2212cefced02d35810333861592afcca = L.popup({"maxWidth": "100%"});\n", + " var popup_719bbf743d16e61685d4169a79d1dad2 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f5fd791fbe83830dc6ecc72dd5b3bc3f = $(`<div id="html_f5fd791fbe83830dc6ecc72dd5b3bc3f" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_2212cefced02d35810333861592afcca.setContent(html_f5fd791fbe83830dc6ecc72dd5b3bc3f);\n", + " var html_eae4faf702ecc9a8130abb2270fade38 = $(`<div id="html_eae4faf702ecc9a8130abb2270fade38" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_719bbf743d16e61685d4169a79d1dad2.setContent(html_eae4faf702ecc9a8130abb2270fade38);\n", " \n", "\n", - " circle_marker_adedf4e57907e09464b1150cfcf0c778.bindPopup(popup_2212cefced02d35810333861592afcca)\n", + " circle_marker_d6b3dea9dd92a325f0cea5e34aa1c6a2.bindPopup(popup_719bbf743d16e61685d4169a79d1dad2)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e7835cd656c820a87fc058034998a90c = L.circleMarker(\n", + " var circle_marker_e17ba27699cfe559758bd01be2306ed7 = L.circleMarker(\n", " [43.6599806, -79.3978616],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_c06f29d44a0989462e19d29186ce3d07 = L.popup({"maxWidth": "100%"});\n", + " var popup_e03ecd2d5c04d07ffa4aae5aabc97b3e = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f6c6e8e37bfebcb683df44fd3d54a14b = $(`<div id="html_f6c6e8e37bfebcb683df44fd3d54a14b" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_c06f29d44a0989462e19d29186ce3d07.setContent(html_f6c6e8e37bfebcb683df44fd3d54a14b);\n", + " var html_09a51c923edc5144c9573372968741ac = $(`<div id="html_09a51c923edc5144c9573372968741ac" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_e03ecd2d5c04d07ffa4aae5aabc97b3e.setContent(html_09a51c923edc5144c9573372968741ac);\n", " \n", "\n", - " circle_marker_e7835cd656c820a87fc058034998a90c.bindPopup(popup_c06f29d44a0989462e19d29186ce3d07)\n", + " circle_marker_e17ba27699cfe559758bd01be2306ed7.bindPopup(popup_e03ecd2d5c04d07ffa4aae5aabc97b3e)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_67ed049b0e9273c5506f9f5737aabcdc = L.circleMarker(\n", + " var circle_marker_c6848b6bde6c90ea364c27e59c7def74 = L.circleMarker(\n", " [43.6600916, -79.3972158],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_3b9e665c3c1d09fa8acb4c70d5364208 = L.popup({"maxWidth": "100%"});\n", + " var popup_03167209e814d4b7343f680a23bb71f6 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_34640fed042e74c00bd752416f61d7fc = $(`<div id="html_34640fed042e74c00bd752416f61d7fc" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_3b9e665c3c1d09fa8acb4c70d5364208.setContent(html_34640fed042e74c00bd752416f61d7fc);\n", + " var html_64ba67d78822295f9c9986d752098aaf = $(`<div id="html_64ba67d78822295f9c9986d752098aaf" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_03167209e814d4b7343f680a23bb71f6.setContent(html_64ba67d78822295f9c9986d752098aaf);\n", " \n", "\n", - " circle_marker_67ed049b0e9273c5506f9f5737aabcdc.bindPopup(popup_3b9e665c3c1d09fa8acb4c70d5364208)\n", + " circle_marker_c6848b6bde6c90ea364c27e59c7def74.bindPopup(popup_03167209e814d4b7343f680a23bb71f6)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2b539fb249b3c3efb3dcdfa8e9c064d9 = L.circleMarker(\n", + " var circle_marker_bccd7bb0d7699790ceab05e00dc91ff2 = L.circleMarker(\n", " [43.6674676, -79.398541],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_feb5680a863564080a1fdb38565eb863 = L.popup({"maxWidth": "100%"});\n", + " var popup_26762ae3df42066ff088869489d74518 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_36181e693bb256bb8cca2690371e65d4 = $(`<div id="html_36181e693bb256bb8cca2690371e65d4" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_feb5680a863564080a1fdb38565eb863.setContent(html_36181e693bb256bb8cca2690371e65d4);\n", + " var html_4a553cfbc9f3f8c9196e76475661bcc6 = $(`<div id="html_4a553cfbc9f3f8c9196e76475661bcc6" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_26762ae3df42066ff088869489d74518.setContent(html_4a553cfbc9f3f8c9196e76475661bcc6);\n", " \n", "\n", - " circle_marker_2b539fb249b3c3efb3dcdfa8e9c064d9.bindPopup(popup_feb5680a863564080a1fdb38565eb863)\n", + " circle_marker_bccd7bb0d7699790ceab05e00dc91ff2.bindPopup(popup_26762ae3df42066ff088869489d74518)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_116ef771aefefd7c2ed1a69842a397a6 = L.circleMarker(\n", + " var circle_marker_6a88cd3da5b2938266068f081e9abee4 = L.circleMarker(\n", " [43.6642407, -79.39921],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_be99b4bf0f39731501cf23d6e919df51 = L.popup({"maxWidth": "100%"});\n", + " var popup_6129eea686c6d255eb6aacbb25ef6e37 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0e9555232ef37bbf820fff9a92deb2ff = $(`<div id="html_0e9555232ef37bbf820fff9a92deb2ff" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_be99b4bf0f39731501cf23d6e919df51.setContent(html_0e9555232ef37bbf820fff9a92deb2ff);\n", + " var html_da167968dd3f6b976f7dc59cb720d3e6 = $(`<div id="html_da167968dd3f6b976f7dc59cb720d3e6" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_6129eea686c6d255eb6aacbb25ef6e37.setContent(html_da167968dd3f6b976f7dc59cb720d3e6);\n", " \n", "\n", - " circle_marker_116ef771aefefd7c2ed1a69842a397a6.bindPopup(popup_be99b4bf0f39731501cf23d6e919df51)\n", + " circle_marker_6a88cd3da5b2938266068f081e9abee4.bindPopup(popup_6129eea686c6d255eb6aacbb25ef6e37)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1cc48ce90ec1e72aac6c8796b96deb9e = L.circleMarker(\n", + " var circle_marker_f8dc4faf8ceb5b7757c18a6fd4055175 = L.circleMarker(\n", " [43.6647887, -79.3994414],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_7b7d397c33dc3f3b2a9b735d56c0c019 = L.popup({"maxWidth": "100%"});\n", + " var popup_aeda2044e87b93cc296afaa717d2b673 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_47e20f7f3f8c13284e9be6f48db1001e = $(`<div id="html_47e20f7f3f8c13284e9be6f48db1001e" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_7b7d397c33dc3f3b2a9b735d56c0c019.setContent(html_47e20f7f3f8c13284e9be6f48db1001e);\n", + " var html_015419c247ef231da3ff212dc86eda90 = $(`<div id="html_015419c247ef231da3ff212dc86eda90" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_aeda2044e87b93cc296afaa717d2b673.setContent(html_015419c247ef231da3ff212dc86eda90);\n", " \n", "\n", - " circle_marker_1cc48ce90ec1e72aac6c8796b96deb9e.bindPopup(popup_7b7d397c33dc3f3b2a9b735d56c0c019)\n", + " circle_marker_f8dc4faf8ceb5b7757c18a6fd4055175.bindPopup(popup_aeda2044e87b93cc296afaa717d2b673)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ed7741a4ec6bc8185ecb0e592ec6c7b9 = L.circleMarker(\n", + " var circle_marker_a89d0b26a26864964483a85bf397494b = L.circleMarker(\n", " [43.6609086, -79.3998739],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_58cb23ddd70eff588a245ecc04278bb6 = L.popup({"maxWidth": "100%"});\n", + " var popup_4de1714e10893e6275546665f257affa = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e243a9afb43cb85fd7806a367443a020 = $(`<div id="html_e243a9afb43cb85fd7806a367443a020" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_58cb23ddd70eff588a245ecc04278bb6.setContent(html_e243a9afb43cb85fd7806a367443a020);\n", + " var html_4440c72d08c44a1a2712e3d70991c1b4 = $(`<div id="html_4440c72d08c44a1a2712e3d70991c1b4" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_4de1714e10893e6275546665f257affa.setContent(html_4440c72d08c44a1a2712e3d70991c1b4);\n", " \n", "\n", - " circle_marker_ed7741a4ec6bc8185ecb0e592ec6c7b9.bindPopup(popup_58cb23ddd70eff588a245ecc04278bb6)\n", + " circle_marker_a89d0b26a26864964483a85bf397494b.bindPopup(popup_4de1714e10893e6275546665f257affa)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_118285d9cb2b9a4895149d70665af7ff = L.circleMarker(\n", + " var circle_marker_25efda6465de2dcc3a1adcfda0ee06d8 = L.circleMarker(\n", " [43.6611294, -79.4005248],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_c70d7c3cff12842d91e384610f8ef718 = L.popup({"maxWidth": "100%"});\n", + " var popup_5b8db5ac1dbfbfedb89abd35f8942336 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_56c08c59e33af6835d04bc36aca68ccb = $(`<div id="html_56c08c59e33af6835d04bc36aca68ccb" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_c70d7c3cff12842d91e384610f8ef718.setContent(html_56c08c59e33af6835d04bc36aca68ccb);\n", + " var html_efa508319bde4ec7d1b1bfc8fc2408dd = $(`<div id="html_efa508319bde4ec7d1b1bfc8fc2408dd" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_5b8db5ac1dbfbfedb89abd35f8942336.setContent(html_efa508319bde4ec7d1b1bfc8fc2408dd);\n", " \n", "\n", - 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" var html_2b8b584bfee2f0c81d6e1c86dc035eee = $(`<div id="html_2b8b584bfee2f0c81d6e1c86dc035eee" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_4f13e5c24b558ff90a6f24f8379770ef.setContent(html_2b8b584bfee2f0c81d6e1c86dc035eee);\n", + " var html_5eb88050fe298911fb1432e158e23d1a = $(`<div id="html_5eb88050fe298911fb1432e158e23d1a" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_06b77044a0596d09837221ff1eeaf630.setContent(html_5eb88050fe298911fb1432e158e23d1a);\n", " \n", "\n", - " circle_marker_55a3c951545caf1d3bf62cef15116a5f.bindPopup(popup_4f13e5c24b558ff90a6f24f8379770ef)\n", + " circle_marker_11cea5af0358f54147028a198fbf2f84.bindPopup(popup_06b77044a0596d09837221ff1eeaf630)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_18c420f024ee0367f7ff518969280294 = L.circleMarker(\n", + " var circle_marker_8cadc75ed72ca5a5efe0f4dac0c1fc05 = L.circleMarker(\n", " [43.6605786, -79.4006308],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_dde1d8dc47163316f5cf0d9fcd0d6ce8 = L.popup({"maxWidth": "100%"});\n", + " var popup_a03e3823445046a8ee90167ce4660a47 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e80b93f0aa75f54b1b9b6a5d6f1ff468 = $(`<div id="html_e80b93f0aa75f54b1b9b6a5d6f1ff468" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_dde1d8dc47163316f5cf0d9fcd0d6ce8.setContent(html_e80b93f0aa75f54b1b9b6a5d6f1ff468);\n", + " var html_380d5dcbec1aba7b26a1e46bb19ddb45 = $(`<div id="html_380d5dcbec1aba7b26a1e46bb19ddb45" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_a03e3823445046a8ee90167ce4660a47.setContent(html_380d5dcbec1aba7b26a1e46bb19ddb45);\n", " \n", "\n", - " circle_marker_18c420f024ee0367f7ff518969280294.bindPopup(popup_dde1d8dc47163316f5cf0d9fcd0d6ce8)\n", + " circle_marker_8cadc75ed72ca5a5efe0f4dac0c1fc05.bindPopup(popup_a03e3823445046a8ee90167ce4660a47)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1e48a4723f75ffcc9fc1b2482f480c9f = L.circleMarker(\n", + " var circle_marker_11f7c7dfae7bb1ab5176bd2fa5b8c7f5 = L.circleMarker(\n", " [43.6618573, -79.3979944],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_de4b8f954860160cd1fa63ddc424de2e = L.popup({"maxWidth": "100%"});\n", + " var popup_e6528f9a8d5f4e9d2171c862b7a10b8d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f44e80f0a797834d796c9675a861e2d6 = $(`<div id="html_f44e80f0a797834d796c9675a861e2d6" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_de4b8f954860160cd1fa63ddc424de2e.setContent(html_f44e80f0a797834d796c9675a861e2d6);\n", + " var html_7f35010748ad7114bec479f7a0876ad2 = $(`<div id="html_7f35010748ad7114bec479f7a0876ad2" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_e6528f9a8d5f4e9d2171c862b7a10b8d.setContent(html_7f35010748ad7114bec479f7a0876ad2);\n", " \n", "\n", - " circle_marker_1e48a4723f75ffcc9fc1b2482f480c9f.bindPopup(popup_de4b8f954860160cd1fa63ddc424de2e)\n", + " circle_marker_11f7c7dfae7bb1ab5176bd2fa5b8c7f5.bindPopup(popup_e6528f9a8d5f4e9d2171c862b7a10b8d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_920143b395fd7fd6618da6bf1b67fef2 = L.circleMarker(\n", + " var circle_marker_7892368daaac95b6decbf6eec128ac49 = L.circleMarker(\n", " [43.6598666, -79.3984688],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_010107adbed345e815bc56d23a42c7f7 = L.popup({"maxWidth": "100%"});\n", + " var popup_14d08212f4ffba01c4453259138700af = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a37c6f1d2c1113463804af92dc42f2d9 = $(`<div id="html_a37c6f1d2c1113463804af92dc42f2d9" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_010107adbed345e815bc56d23a42c7f7.setContent(html_a37c6f1d2c1113463804af92dc42f2d9);\n", + " var html_04f6b62ad7411ff6140ae89c6e436580 = $(`<div id="html_04f6b62ad7411ff6140ae89c6e436580" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_14d08212f4ffba01c4453259138700af.setContent(html_04f6b62ad7411ff6140ae89c6e436580);\n", " \n", "\n", - " circle_marker_920143b395fd7fd6618da6bf1b67fef2.bindPopup(popup_010107adbed345e815bc56d23a42c7f7)\n", + " circle_marker_7892368daaac95b6decbf6eec128ac49.bindPopup(popup_14d08212f4ffba01c4453259138700af)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7e1c39ba2ccb43b64948f02076500dce = L.circleMarker(\n", + " var circle_marker_417ebb8f34ca88910827dfdce3c27178 = L.circleMarker(\n", " [43.6644228, -79.3981613],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_c8ae930c95d215e707d7fffafa8c6852 = L.popup({"maxWidth": "100%"});\n", + " var popup_03f610ae57669317d48d0eea8a4083f2 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_594a051425b311ed8aa43271e79692f7 = $(`<div id="html_594a051425b311ed8aa43271e79692f7" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_c8ae930c95d215e707d7fffafa8c6852.setContent(html_594a051425b311ed8aa43271e79692f7);\n", + " var html_53b4f43ae1c2bbe7cd78375c185061a7 = $(`<div id="html_53b4f43ae1c2bbe7cd78375c185061a7" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_03f610ae57669317d48d0eea8a4083f2.setContent(html_53b4f43ae1c2bbe7cd78375c185061a7);\n", " \n", "\n", - " circle_marker_7e1c39ba2ccb43b64948f02076500dce.bindPopup(popup_c8ae930c95d215e707d7fffafa8c6852)\n", + " circle_marker_417ebb8f34ca88910827dfdce3c27178.bindPopup(popup_03f610ae57669317d48d0eea8a4083f2)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_3c4ebc712d3efa2b317c3e235dd5e958 = L.circleMarker(\n", + " var circle_marker_150d6380627b4a23c14312e3525f754f = L.circleMarker(\n", " [43.6648252, -79.3981827],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_9cf6c9a8a43d128d862d7c04c79d6ced = L.popup({"maxWidth": "100%"});\n", + " var popup_0e434510779523d722dfdd37aed6e465 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d976959a7b81404cb9c4eae6ac8a3140 = $(`<div id="html_d976959a7b81404cb9c4eae6ac8a3140" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_9cf6c9a8a43d128d862d7c04c79d6ced.setContent(html_d976959a7b81404cb9c4eae6ac8a3140);\n", + " var html_20a94f7ad9d4b83315518be47e9b0a84 = $(`<div id="html_20a94f7ad9d4b83315518be47e9b0a84" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_0e434510779523d722dfdd37aed6e465.setContent(html_20a94f7ad9d4b83315518be47e9b0a84);\n", " \n", "\n", - 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" var html_e22bfa963ca436ee3ca4365d46cef7fc = $(`<div id="html_e22bfa963ca436ee3ca4365d46cef7fc" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_2d790333234c6105789ee2bcdc2d529c.setContent(html_e22bfa963ca436ee3ca4365d46cef7fc);\n", + " var html_d0996ba13f2b20e85cea94d98e59803f = $(`<div id="html_d0996ba13f2b20e85cea94d98e59803f" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_cde096ec4bb2c5b0ca96ac96053147ee.setContent(html_d0996ba13f2b20e85cea94d98e59803f);\n", " \n", "\n", - " circle_marker_5065f05a3b116848155317b09b007010.bindPopup(popup_2d790333234c6105789ee2bcdc2d529c)\n", + " circle_marker_62286e87f3aa54c71816638770bac2f9.bindPopup(popup_cde096ec4bb2c5b0ca96ac96053147ee)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2ad8606069ec58f6b58f52c033d824d5 = L.circleMarker(\n", + " var circle_marker_2f3d4abfa650fc743ed244cfce2fb04c = L.circleMarker(\n", " [43.666072, -79.3997863],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_bac910cf43305b7fc74068f4a618bdb0 = L.popup({"maxWidth": "100%"});\n", + " var popup_1c7ca10b7da7bb1813671d6c5d8e6f83 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_de468188abb0affe266bc4595da2e002 = $(`<div id="html_de468188abb0affe266bc4595da2e002" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_bac910cf43305b7fc74068f4a618bdb0.setContent(html_de468188abb0affe266bc4595da2e002);\n", + " var html_4eec3f3b03576ad8af5ad8f23c77457a = $(`<div id="html_4eec3f3b03576ad8af5ad8f23c77457a" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_1c7ca10b7da7bb1813671d6c5d8e6f83.setContent(html_4eec3f3b03576ad8af5ad8f23c77457a);\n", " \n", "\n", - " circle_marker_2ad8606069ec58f6b58f52c033d824d5.bindPopup(popup_bac910cf43305b7fc74068f4a618bdb0)\n", + " circle_marker_2f3d4abfa650fc743ed244cfce2fb04c.bindPopup(popup_1c7ca10b7da7bb1813671d6c5d8e6f83)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_599a556c490c8c5cca16b0c354f02031 = L.circleMarker(\n", + " var circle_marker_f169455c650b3c81576a366074b23a3a = L.circleMarker(\n", " [43.6667118, -79.3999688],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_5bb11c45509e0fee17c903dc588a7f0b = L.popup({"maxWidth": "100%"});\n", + " var popup_6c0f6518147cab397e07c03447ad6a09 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0b644213ea4fa56a38087d3f432c8752 = $(`<div id="html_0b644213ea4fa56a38087d3f432c8752" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_5bb11c45509e0fee17c903dc588a7f0b.setContent(html_0b644213ea4fa56a38087d3f432c8752);\n", + " var html_8ce26b0de2621f767db0992fc74431b3 = $(`<div id="html_8ce26b0de2621f767db0992fc74431b3" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_6c0f6518147cab397e07c03447ad6a09.setContent(html_8ce26b0de2621f767db0992fc74431b3);\n", " \n", "\n", - 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" var html_397881e85195bf24f58b1a684dfc41db = $(`<div id="html_397881e85195bf24f58b1a684dfc41db" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_8bc527e62f16442c2c37abbf9d93e890.setContent(html_397881e85195bf24f58b1a684dfc41db);\n", + " var html_f3ccb38bf68126c844ff25ac0a7b821d = $(`<div id="html_f3ccb38bf68126c844ff25ac0a7b821d" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_4314eb5384b1fdccd3b88067c9e2eed2.setContent(html_f3ccb38bf68126c844ff25ac0a7b821d);\n", " \n", "\n", - " circle_marker_648091df4d8a4503de8914e0147a3ca1.bindPopup(popup_8bc527e62f16442c2c37abbf9d93e890)\n", + " circle_marker_e3e44f7035b5e9ecd390f33b6128c622.bindPopup(popup_4314eb5384b1fdccd3b88067c9e2eed2)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d965c933cfc2d685498649d7ba1ec18e = L.circleMarker(\n", + " var circle_marker_8503b0d7ab2812fd19c625c44c089ca3 = L.circleMarker(\n", " [43.6656204, -79.399593],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_9c0ed27c96492dcc97278c13c5812243 = L.popup({"maxWidth": "100%"});\n", + " var popup_cb1af8e004c2fa36752d9a045c6c2a8b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a9de31ffd076810b0801f18a95a30882 = $(`<div id="html_a9de31ffd076810b0801f18a95a30882" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_9c0ed27c96492dcc97278c13c5812243.setContent(html_a9de31ffd076810b0801f18a95a30882);\n", + " var html_07699594cea200d00502e0d98571e933 = $(`<div id="html_07699594cea200d00502e0d98571e933" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_cb1af8e004c2fa36752d9a045c6c2a8b.setContent(html_07699594cea200d00502e0d98571e933);\n", " \n", "\n", - " circle_marker_d965c933cfc2d685498649d7ba1ec18e.bindPopup(popup_9c0ed27c96492dcc97278c13c5812243)\n", + " circle_marker_8503b0d7ab2812fd19c625c44c089ca3.bindPopup(popup_cb1af8e004c2fa36752d9a045c6c2a8b)\n", " ;\n", "\n", " \n", " \n", " \n", - 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" ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_1262d9d5813de7facaf3815c32225336 = L.popup({"maxWidth": "100%"});\n", + " var popup_2ba84a07eb52c2d9283e5bd3dbd1ab1e = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_759666e0af57b4e641db228afe81e9b5 = $(`<div id="html_759666e0af57b4e641db228afe81e9b5" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_1262d9d5813de7facaf3815c32225336.setContent(html_759666e0af57b4e641db228afe81e9b5);\n", + " var html_add29877669511242d6ee1d40786b604 = $(`<div id="html_add29877669511242d6ee1d40786b604" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_2ba84a07eb52c2d9283e5bd3dbd1ab1e.setContent(html_add29877669511242d6ee1d40786b604);\n", " \n", "\n", - " circle_marker_7f43002473d6186e1b1fe7beb888f2e3.bindPopup(popup_1262d9d5813de7facaf3815c32225336)\n", + " circle_marker_b881b204bd651abf5c27d1bdd2d4af6a.bindPopup(popup_2ba84a07eb52c2d9283e5bd3dbd1ab1e)\n", " ;\n", "\n", " \n", " \n", " \n", - 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" var circle_marker_d31078d8077e195088848bc1bc04a85d = L.circleMarker(\n", + " var circle_marker_bfd9580d91b5e504cf47a3f17de5d450 = L.circleMarker(\n", " [43.6666696, -79.3987948],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_180705169de8e6657de99d417ef1e9e8 = L.popup({"maxWidth": "100%"});\n", + " var popup_dcbce07b888a9fab97703511d05a13e3 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e6551717f7488440f2a6f85537c8c3d9 = $(`<div id="html_e6551717f7488440f2a6f85537c8c3d9" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_180705169de8e6657de99d417ef1e9e8.setContent(html_e6551717f7488440f2a6f85537c8c3d9);\n", + " var html_d4d000d966eced9278f28847fbd61326 = $(`<div id="html_d4d000d966eced9278f28847fbd61326" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_dcbce07b888a9fab97703511d05a13e3.setContent(html_d4d000d966eced9278f28847fbd61326);\n", " \n", "\n", - 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" ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_ae1fbab037fac40b3137b2cfd52791c6 = L.popup({"maxWidth": "100%"});\n", + " var popup_90b3b3a7f4a09da92d9205574e6b8769 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ab80fe076c876ff33a1067d296f29e2a = $(`<div id="html_ab80fe076c876ff33a1067d296f29e2a" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_ae1fbab037fac40b3137b2cfd52791c6.setContent(html_ab80fe076c876ff33a1067d296f29e2a);\n", + " var html_24448b6ca1853c16f076e96730774cea = $(`<div id="html_24448b6ca1853c16f076e96730774cea" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_90b3b3a7f4a09da92d9205574e6b8769.setContent(html_24448b6ca1853c16f076e96730774cea);\n", " \n", "\n", - " circle_marker_68828511331b92e798293d75ed6b45e5.bindPopup(popup_ae1fbab037fac40b3137b2cfd52791c6)\n", + " circle_marker_468c73a3fa937ecdbcf4e07f7e0bdf1c.bindPopup(popup_90b3b3a7f4a09da92d9205574e6b8769)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8316bdf0f1775708949b8f3b8d4acd1b = L.circleMarker(\n", + " var circle_marker_add429c6c7808c4c770137dceec791b5 = L.circleMarker(\n", " [43.6608112, -79.4003077],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_cdf37d677361259aec8ffb9e5d37cc8b = L.popup({"maxWidth": "100%"});\n", + " var popup_e353eca6667c9e7f19fed750e32510e1 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_69b78a89dc6ea96362b0cb215d4fe8c7 = $(`<div id="html_69b78a89dc6ea96362b0cb215d4fe8c7" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_cdf37d677361259aec8ffb9e5d37cc8b.setContent(html_69b78a89dc6ea96362b0cb215d4fe8c7);\n", + " var html_0d5a42cd63c02eff415d8324f193850d = $(`<div id="html_0d5a42cd63c02eff415d8324f193850d" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_e353eca6667c9e7f19fed750e32510e1.setContent(html_0d5a42cd63c02eff415d8324f193850d);\n", " \n", "\n", - 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" ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_6213e12182b0277ab81be03100c8417c = L.popup({"maxWidth": "100%"});\n", + " var popup_4572695688a45f3b2b6115571993a469 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_21d7b0c4bc733c3e6386f34da304b55f = $(`<div id="html_21d7b0c4bc733c3e6386f34da304b55f" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_6213e12182b0277ab81be03100c8417c.setContent(html_21d7b0c4bc733c3e6386f34da304b55f);\n", + " var html_b2a8f994d4773a53a03f37d3d9941d68 = $(`<div id="html_b2a8f994d4773a53a03f37d3d9941d68" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_4572695688a45f3b2b6115571993a469.setContent(html_b2a8f994d4773a53a03f37d3d9941d68);\n", " \n", "\n", - " circle_marker_5caad9e5bc010b05717172b0a68d7c2b.bindPopup(popup_6213e12182b0277ab81be03100c8417c)\n", + " circle_marker_513f6ad8083714fb03862cfcdac34682.bindPopup(popup_4572695688a45f3b2b6115571993a469)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_da86dcc007e276ea8e92e02e7a5cbbc2 = L.circleMarker(\n", + " var circle_marker_40b6d40026f1c7c1ecad593180983f7d = L.circleMarker(\n", " [43.6594572, -79.3959338],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_fa4a5e8ee709df9737a7d1eed1cbf4d9 = L.popup({"maxWidth": "100%"});\n", + " var popup_cb670cc8f7e184d9fe4f34f53024ea3a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_4637d6a7d785a38820c59937cbb83cd4 = $(`<div id="html_4637d6a7d785a38820c59937cbb83cd4" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_fa4a5e8ee709df9737a7d1eed1cbf4d9.setContent(html_4637d6a7d785a38820c59937cbb83cd4);\n", + " var html_e38c5597ca2070bac950c63f2150d606 = $(`<div id="html_e38c5597ca2070bac950c63f2150d606" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_cb670cc8f7e184d9fe4f34f53024ea3a.setContent(html_e38c5597ca2070bac950c63f2150d606);\n", " \n", "\n", - " circle_marker_da86dcc007e276ea8e92e02e7a5cbbc2.bindPopup(popup_fa4a5e8ee709df9737a7d1eed1cbf4d9)\n", + " circle_marker_40b6d40026f1c7c1ecad593180983f7d.bindPopup(popup_cb670cc8f7e184d9fe4f34f53024ea3a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c336c6cea76b8cc07caf884f04cee25b = L.circleMarker(\n", + " var circle_marker_71dd0f2a5fe2873e5cbc038b9477bcf0 = L.circleMarker(\n", " [43.6669263, -79.3919559],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_438871cf5d0b0a051229856b0121930a = L.popup({"maxWidth": "100%"});\n", + " var popup_54964c7c35667fa87d7bf45e3aa0aa90 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - 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" ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_b03dc5b14fdc32ed99c68560a4e18d2f = L.popup({"maxWidth": "100%"});\n", + " var popup_9baa7b65a47c6f7360e3ff27d55ec994 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_52667f60cee880f640df58aef961894e = $(`<div id="html_52667f60cee880f640df58aef961894e" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_b03dc5b14fdc32ed99c68560a4e18d2f.setContent(html_52667f60cee880f640df58aef961894e);\n", + " var html_085adedbd79f6c2b4d6be364bef9b737 = $(`<div id="html_085adedbd79f6c2b4d6be364bef9b737" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_9baa7b65a47c6f7360e3ff27d55ec994.setContent(html_085adedbd79f6c2b4d6be364bef9b737);\n", " \n", "\n", - " circle_marker_8e27bd4055c8cb50fbc9246e4ae11316.bindPopup(popup_b03dc5b14fdc32ed99c68560a4e18d2f)\n", + " circle_marker_79b7c2bcff7a2563b8ff8f4811a07906.bindPopup(popup_9baa7b65a47c6f7360e3ff27d55ec994)\n", " ;\n", "\n", " \n", " \n", " \n", - 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" ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_f16e788a447209f53904f1f99af62476 = L.popup({"maxWidth": "100%"});\n", + " var popup_72a40cdf73e8d85ac36eccd9df9a8aeb = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_fe6d1d65f16ee52d8cbb4995c6f6d570 = $(`<div id="html_fe6d1d65f16ee52d8cbb4995c6f6d570" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_f16e788a447209f53904f1f99af62476.setContent(html_fe6d1d65f16ee52d8cbb4995c6f6d570);\n", + " var html_93590720c20263d84b5b6155ef582e69 = $(`<div id="html_93590720c20263d84b5b6155ef582e69" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_72a40cdf73e8d85ac36eccd9df9a8aeb.setContent(html_93590720c20263d84b5b6155ef582e69);\n", " \n", "\n", - " circle_marker_cc0180a8d47c14ae9ed2d14a30c7a849.bindPopup(popup_f16e788a447209f53904f1f99af62476)\n", + " circle_marker_ef91ff0ecca341c1b62000ced1fcc945.bindPopup(popup_72a40cdf73e8d85ac36eccd9df9a8aeb)\n", " ;\n", "\n", " \n", " \n", " \n", - 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" var html_b5f7fb5331e49973f32f2f3d4b9c7b16 = $(`<div id="html_b5f7fb5331e49973f32f2f3d4b9c7b16" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_fa7daddb4f3535d682f02fe10a45157a.setContent(html_b5f7fb5331e49973f32f2f3d4b9c7b16);\n", + " var html_0afaf9fd3d66399b83b3c8ae87fc21ef = $(`<div id="html_0afaf9fd3d66399b83b3c8ae87fc21ef" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_9fb76094cdfb1300c4c4aee0739f86ac.setContent(html_0afaf9fd3d66399b83b3c8ae87fc21ef);\n", " \n", "\n", - " circle_marker_ea6a9274ea69c16ef6a6e5f306588275.bindPopup(popup_fa7daddb4f3535d682f02fe10a45157a)\n", + " circle_marker_b10dd95ef7d36111f13c47f3c1bc9598.bindPopup(popup_9fb76094cdfb1300c4c4aee0739f86ac)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_fcd423830b2cab1dce31067a8a22ec37 = L.circleMarker(\n", + " var circle_marker_394678351dac68784303e6cf06a6fbdc = L.circleMarker(\n", " [43.6607415, -79.3965722],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_a4f74bde78cad280fa37b59ceaedcca9 = L.popup({"maxWidth": "100%"});\n", + " var popup_9ea2eb06dc136626ce84f90d0dfe1bdd = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2fb27cc7dd4f545a06afc4a8f2ed4772 = $(`<div id="html_2fb27cc7dd4f545a06afc4a8f2ed4772" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_a4f74bde78cad280fa37b59ceaedcca9.setContent(html_2fb27cc7dd4f545a06afc4a8f2ed4772);\n", + " var html_4557403897b27eacb6987f7578c90c5d = $(`<div id="html_4557403897b27eacb6987f7578c90c5d" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_9ea2eb06dc136626ce84f90d0dfe1bdd.setContent(html_4557403897b27eacb6987f7578c90c5d);\n", " \n", "\n", - " circle_marker_fcd423830b2cab1dce31067a8a22ec37.bindPopup(popup_a4f74bde78cad280fa37b59ceaedcca9)\n", + " circle_marker_394678351dac68784303e6cf06a6fbdc.bindPopup(popup_9ea2eb06dc136626ce84f90d0dfe1bdd)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7558954b65c4f2bd242804c2be589896 = L.circleMarker(\n", + " var circle_marker_320be0a82f14fbba0a7c7ee3632ad695 = L.circleMarker(\n", " [43.6673873, -79.3987786],\n", " {"bubblingMouseEvents": true, "color": "darkcyan", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkcyan", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 12, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_cc8b162e0718be47a5a49482f060b54b = L.popup({"maxWidth": "100%"});\n", + " var popup_9a24438e5db0f79a716fe2e97d131c40 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6276f0d6e6fc0a98a8234b6a13947585 = $(`<div id="html_6276f0d6e6fc0a98a8234b6a13947585" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", - " popup_cc8b162e0718be47a5a49482f060b54b.setContent(html_6276f0d6e6fc0a98a8234b6a13947585);\n", + " var html_1c3bd12a9df03a4773e29115da036e37 = $(`<div id="html_1c3bd12a9df03a4773e29115da036e37" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 23</div>`)[0];\n", + " popup_9a24438e5db0f79a716fe2e97d131c40.setContent(html_1c3bd12a9df03a4773e29115da036e37);\n", " \n", "\n", - " circle_marker_7558954b65c4f2bd242804c2be589896.bindPopup(popup_cc8b162e0718be47a5a49482f060b54b)\n", + " circle_marker_320be0a82f14fbba0a7c7ee3632ad695.bindPopup(popup_9a24438e5db0f79a716fe2e97d131c40)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_371734b909b2ee59d481d47bd1ed0a03 = L.circleMarker(\n", + " var circle_marker_62c471de873e16f732a2ba3a28acc0c1 = L.circleMarker(\n", " [43.6648522, -79.3895107],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_54bcefbf7a11f028567534a35a9ce0e9 = L.popup({"maxWidth": "100%"});\n", + " var popup_f5c9f588ce2c153c56511180bb60e9f9 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6fbf2d5a44c76cde0ea6ac6aafb042da = $(`<div id="html_6fbf2d5a44c76cde0ea6ac6aafb042da" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_54bcefbf7a11f028567534a35a9ce0e9.setContent(html_6fbf2d5a44c76cde0ea6ac6aafb042da);\n", + " var html_a5524a306c2cc2cb230596132fa88170 = $(`<div id="html_a5524a306c2cc2cb230596132fa88170" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_f5c9f588ce2c153c56511180bb60e9f9.setContent(html_a5524a306c2cc2cb230596132fa88170);\n", " \n", "\n", - " circle_marker_371734b909b2ee59d481d47bd1ed0a03.bindPopup(popup_54bcefbf7a11f028567534a35a9ce0e9)\n", + " circle_marker_62c471de873e16f732a2ba3a28acc0c1.bindPopup(popup_f5c9f588ce2c153c56511180bb60e9f9)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_37576daab15d19b36f320ab39efdbbcf = L.circleMarker(\n", + " var circle_marker_c47bc3504e73a8ad02f1ae69b885b81f = L.circleMarker(\n", " [43.6663202, -79.3912921],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_7a6da9671bd4fed85621663c3a982ef3 = L.popup({"maxWidth": "100%"});\n", + " var popup_c6efdc7d2bc7d3c02eb440f496a103fc = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_50c85b13140d888de9b85b08706421a7 = $(`<div id="html_50c85b13140d888de9b85b08706421a7" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_7a6da9671bd4fed85621663c3a982ef3.setContent(html_50c85b13140d888de9b85b08706421a7);\n", + " var html_851212d048f144b7f979f1ba8e64e5fb = $(`<div id="html_851212d048f144b7f979f1ba8e64e5fb" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_c6efdc7d2bc7d3c02eb440f496a103fc.setContent(html_851212d048f144b7f979f1ba8e64e5fb);\n", " \n", "\n", - " circle_marker_37576daab15d19b36f320ab39efdbbcf.bindPopup(popup_7a6da9671bd4fed85621663c3a982ef3)\n", + " circle_marker_c47bc3504e73a8ad02f1ae69b885b81f.bindPopup(popup_c6efdc7d2bc7d3c02eb440f496a103fc)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_38c11d8e2a56c69833d0f78179f92573 = L.circleMarker(\n", + " var circle_marker_d1c21acada60ee03f8b592875c4645bf = L.circleMarker(\n", " [43.6664141, -79.3921389],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_52433f6b2a04d406d404cc5d7fd22c11 = L.popup({"maxWidth": "100%"});\n", + " var popup_6d5576f39044e904947eafc1df561898 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d0aab7e19085acdf8e5339970e6604ad = $(`<div id="html_d0aab7e19085acdf8e5339970e6604ad" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_52433f6b2a04d406d404cc5d7fd22c11.setContent(html_d0aab7e19085acdf8e5339970e6604ad);\n", + " var html_c36f5ada3aa9706ad8f09cad840ea769 = $(`<div id="html_c36f5ada3aa9706ad8f09cad840ea769" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_6d5576f39044e904947eafc1df561898.setContent(html_c36f5ada3aa9706ad8f09cad840ea769);\n", " \n", "\n", - " circle_marker_38c11d8e2a56c69833d0f78179f92573.bindPopup(popup_52433f6b2a04d406d404cc5d7fd22c11)\n", + " circle_marker_d1c21acada60ee03f8b592875c4645bf.bindPopup(popup_6d5576f39044e904947eafc1df561898)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_5a0627da060b52b0800ef542d4efd95e = L.circleMarker(\n", + " var circle_marker_090c6e7560144b65cf84f1ca5d6822fe = L.circleMarker(\n", " [43.6652328, -79.3904148],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_18c6ef8a185cb5d58d0d62a1427d42ef = L.popup({"maxWidth": "100%"});\n", + " var popup_112628a143094cc4e001ff1e967739ba = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f850e46317094abc66335bc312959385 = $(`<div id="html_f850e46317094abc66335bc312959385" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_18c6ef8a185cb5d58d0d62a1427d42ef.setContent(html_f850e46317094abc66335bc312959385);\n", + " var html_4410a1c16957c2d47680d74d6a262e2c = $(`<div id="html_4410a1c16957c2d47680d74d6a262e2c" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_112628a143094cc4e001ff1e967739ba.setContent(html_4410a1c16957c2d47680d74d6a262e2c);\n", " \n", "\n", - " circle_marker_5a0627da060b52b0800ef542d4efd95e.bindPopup(popup_18c6ef8a185cb5d58d0d62a1427d42ef)\n", + " circle_marker_090c6e7560144b65cf84f1ca5d6822fe.bindPopup(popup_112628a143094cc4e001ff1e967739ba)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1ee31e17729fe095dbb0817e5ad00a2c = L.circleMarker(\n", + " var circle_marker_caed4ea7ddbdbe6ee3986406e16aa618 = L.circleMarker(\n", " [43.6647637, -79.3901376],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_2ee2ae9f42e25b23b3c767ae7967cfc1 = L.popup({"maxWidth": "100%"});\n", + " var popup_a43272173bee10927afe07e6fe94c442 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a2f7d30e90ae9cedaee60c9f5b31ff33 = $(`<div id="html_a2f7d30e90ae9cedaee60c9f5b31ff33" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_2ee2ae9f42e25b23b3c767ae7967cfc1.setContent(html_a2f7d30e90ae9cedaee60c9f5b31ff33);\n", + " var html_1ee8295d9171fb64d4a00932a8440d18 = $(`<div id="html_1ee8295d9171fb64d4a00932a8440d18" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_a43272173bee10927afe07e6fe94c442.setContent(html_1ee8295d9171fb64d4a00932a8440d18);\n", " \n", "\n", - " circle_marker_1ee31e17729fe095dbb0817e5ad00a2c.bindPopup(popup_2ee2ae9f42e25b23b3c767ae7967cfc1)\n", + " circle_marker_caed4ea7ddbdbe6ee3986406e16aa618.bindPopup(popup_a43272173bee10927afe07e6fe94c442)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bdb1aa63e33d2247f832fe2eeea409fb = L.circleMarker(\n", + " var circle_marker_436dbd8e2e4b9be3f504f3439df1427e = L.circleMarker(\n", " [43.6599499, -79.3917767],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_be571170d57460323cdf95066bef084c = L.popup({"maxWidth": "100%"});\n", + " var popup_92b7535462d889b026e9148cff826fdf = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_522f897f6f936d6833008584ea99ce62 = $(`<div id="html_522f897f6f936d6833008584ea99ce62" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_be571170d57460323cdf95066bef084c.setContent(html_522f897f6f936d6833008584ea99ce62);\n", + " var html_0a877ec3887ba619cd0045c71ba02991 = $(`<div id="html_0a877ec3887ba619cd0045c71ba02991" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_92b7535462d889b026e9148cff826fdf.setContent(html_0a877ec3887ba619cd0045c71ba02991);\n", " \n", "\n", - " circle_marker_bdb1aa63e33d2247f832fe2eeea409fb.bindPopup(popup_be571170d57460323cdf95066bef084c)\n", + " circle_marker_436dbd8e2e4b9be3f504f3439df1427e.bindPopup(popup_92b7535462d889b026e9148cff826fdf)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4f3de5dbf20393b9ab5461d5db89d95e = L.circleMarker(\n", + " var circle_marker_7e0fdd09989a3e593aa82d1fa0ad9b42 = L.circleMarker(\n", " [43.6672514, -79.3923649],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_09fd778975844f0c419e4a03f47c862b = L.popup({"maxWidth": "100%"});\n", + " var popup_fdaefc8df15bc2741c10d7d48a62b1b7 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_cca95a1b29ee18985752ae4a275e15eb = $(`<div id="html_cca95a1b29ee18985752ae4a275e15eb" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_09fd778975844f0c419e4a03f47c862b.setContent(html_cca95a1b29ee18985752ae4a275e15eb);\n", + " var html_e1be68ffe4a770fa9feb82cacd2f9a4d = $(`<div id="html_e1be68ffe4a770fa9feb82cacd2f9a4d" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_fdaefc8df15bc2741c10d7d48a62b1b7.setContent(html_e1be68ffe4a770fa9feb82cacd2f9a4d);\n", " \n", "\n", - " circle_marker_4f3de5dbf20393b9ab5461d5db89d95e.bindPopup(popup_09fd778975844f0c419e4a03f47c862b)\n", + " circle_marker_7e0fdd09989a3e593aa82d1fa0ad9b42.bindPopup(popup_fdaefc8df15bc2741c10d7d48a62b1b7)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d9936717b43a301e42e5acb622efb4c1 = L.circleMarker(\n", + " var circle_marker_c3d83639c2c037d4351e64bee19862d2 = L.circleMarker(\n", " [43.6670922, -79.3929187],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_d4903ec668d88b4d833736708d96cd93 = L.popup({"maxWidth": "100%"});\n", + " var popup_e78c579f2063569de509d8d180cdc8f0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_4256efb25423980609a92e91de649da9 = $(`<div id="html_4256efb25423980609a92e91de649da9" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_d4903ec668d88b4d833736708d96cd93.setContent(html_4256efb25423980609a92e91de649da9);\n", + " var html_a671bb7cbb8b00dd3957f0b41519cbe8 = $(`<div id="html_a671bb7cbb8b00dd3957f0b41519cbe8" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_e78c579f2063569de509d8d180cdc8f0.setContent(html_a671bb7cbb8b00dd3957f0b41519cbe8);\n", " \n", "\n", - " circle_marker_d9936717b43a301e42e5acb622efb4c1.bindPopup(popup_d4903ec668d88b4d833736708d96cd93)\n", + " circle_marker_c3d83639c2c037d4351e64bee19862d2.bindPopup(popup_e78c579f2063569de509d8d180cdc8f0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c7e249d51128bf43bd3f2d6ba1ef3676 = L.circleMarker(\n", + " var circle_marker_c287b3c0199243b2fd604cb7a593241d = L.circleMarker(\n", " [43.6663535, -79.3886433],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_62e6b6c3f24eea032642fc3d1ad0e471 = L.popup({"maxWidth": "100%"});\n", + " var popup_5db23043910262ff9be4710cb604176e = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_65a43ab1c84ab8a9318d12a616be1c2f = $(`<div id="html_65a43ab1c84ab8a9318d12a616be1c2f" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_62e6b6c3f24eea032642fc3d1ad0e471.setContent(html_65a43ab1c84ab8a9318d12a616be1c2f);\n", + " var html_94eb832718aeb4634d95911c527818ef = $(`<div id="html_94eb832718aeb4634d95911c527818ef" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_5db23043910262ff9be4710cb604176e.setContent(html_94eb832718aeb4634d95911c527818ef);\n", " \n", "\n", - " circle_marker_c7e249d51128bf43bd3f2d6ba1ef3676.bindPopup(popup_62e6b6c3f24eea032642fc3d1ad0e471)\n", + " circle_marker_c287b3c0199243b2fd604cb7a593241d.bindPopup(popup_5db23043910262ff9be4710cb604176e)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_95f75be7d23fa8801727f3be29490900 = L.circleMarker(\n", + " var circle_marker_7edb073c6f63836b47a694f5a0a9a70e = L.circleMarker(\n", " [43.6650353, -79.3885826],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_30b890cdd01e7767dd4dca9e1bc046d7 = L.popup({"maxWidth": "100%"});\n", + " var popup_074243aa5b4d517b4892245f909ed8ef = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_99ff2a82470249babc24292898678d97 = $(`<div id="html_99ff2a82470249babc24292898678d97" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_30b890cdd01e7767dd4dca9e1bc046d7.setContent(html_99ff2a82470249babc24292898678d97);\n", + " var html_35f67728c1bfca7fede83aa66fa8dd7a = $(`<div id="html_35f67728c1bfca7fede83aa66fa8dd7a" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_074243aa5b4d517b4892245f909ed8ef.setContent(html_35f67728c1bfca7fede83aa66fa8dd7a);\n", " \n", "\n", - " circle_marker_95f75be7d23fa8801727f3be29490900.bindPopup(popup_30b890cdd01e7767dd4dca9e1bc046d7)\n", + " circle_marker_7edb073c6f63836b47a694f5a0a9a70e.bindPopup(popup_074243aa5b4d517b4892245f909ed8ef)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c643e024baf1d104685e622751e55ad9 = L.circleMarker(\n", + " var circle_marker_2fe0836f5adc611b16ff9700fb42dff1 = L.circleMarker(\n", " [43.6656948, -79.3899594],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_45567e0277798e3f241e35866af4057d = L.popup({"maxWidth": "100%"});\n", + " var popup_f2268c4ee55021150f967614c17f6ace = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_cb44f5bdbfb641707425e224c7405540 = $(`<div id="html_cb44f5bdbfb641707425e224c7405540" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_45567e0277798e3f241e35866af4057d.setContent(html_cb44f5bdbfb641707425e224c7405540);\n", + " var html_cc8897283bd4270ca7d432b5141f1dff = $(`<div id="html_cc8897283bd4270ca7d432b5141f1dff" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_f2268c4ee55021150f967614c17f6ace.setContent(html_cc8897283bd4270ca7d432b5141f1dff);\n", " \n", "\n", - " circle_marker_c643e024baf1d104685e622751e55ad9.bindPopup(popup_45567e0277798e3f241e35866af4057d)\n", + " circle_marker_2fe0836f5adc611b16ff9700fb42dff1.bindPopup(popup_f2268c4ee55021150f967614c17f6ace)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_aa61f69577c872b1029a4f79b59af463 = L.circleMarker(\n", + " var circle_marker_326fac27f0d0d04bc8f39061bea96aad = L.circleMarker(\n", " [43.6654428, -79.3898803],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_a8b383cee73aa02a1554a15ad909df71 = L.popup({"maxWidth": "100%"});\n", + " var popup_4b5afc574e366d55c1cdf3650b6dbb59 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d1dd7f284ff078cf8b7d74b5179ced30 = $(`<div id="html_d1dd7f284ff078cf8b7d74b5179ced30" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_a8b383cee73aa02a1554a15ad909df71.setContent(html_d1dd7f284ff078cf8b7d74b5179ced30);\n", + " var html_e6214c8b460f0434d092c1ce2f7923e4 = $(`<div id="html_e6214c8b460f0434d092c1ce2f7923e4" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_4b5afc574e366d55c1cdf3650b6dbb59.setContent(html_e6214c8b460f0434d092c1ce2f7923e4);\n", " \n", "\n", - " circle_marker_aa61f69577c872b1029a4f79b59af463.bindPopup(popup_a8b383cee73aa02a1554a15ad909df71)\n", + " circle_marker_326fac27f0d0d04bc8f39061bea96aad.bindPopup(popup_4b5afc574e366d55c1cdf3650b6dbb59)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_911d6b732194772d93c941bc9db00d3f = L.circleMarker(\n", + " var circle_marker_904ebed6bf89c9ca65643806061507c9 = L.circleMarker(\n", " [43.6655234, -79.3893077],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_a221c54eb1a82a5907ffc245c224b7b4 = L.popup({"maxWidth": "100%"});\n", + " var popup_bf280fcbecc7a68647a208de3ca21cce = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_5ca0070f8be5d872b44b89fbde2fc500 = $(`<div id="html_5ca0070f8be5d872b44b89fbde2fc500" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_a221c54eb1a82a5907ffc245c224b7b4.setContent(html_5ca0070f8be5d872b44b89fbde2fc500);\n", + " var html_c162d29c1d06953d888b5bfff18a9b1b = $(`<div id="html_c162d29c1d06953d888b5bfff18a9b1b" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_bf280fcbecc7a68647a208de3ca21cce.setContent(html_c162d29c1d06953d888b5bfff18a9b1b);\n", " \n", "\n", - " circle_marker_911d6b732194772d93c941bc9db00d3f.bindPopup(popup_a221c54eb1a82a5907ffc245c224b7b4)\n", + " circle_marker_904ebed6bf89c9ca65643806061507c9.bindPopup(popup_bf280fcbecc7a68647a208de3ca21cce)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ce49bc47165625e79b2ec8a8f72351d1 = L.circleMarker(\n", + " var circle_marker_0889a21dc28a9f8c5a564af4e71d87f6 = L.circleMarker(\n", " [43.6658011, -79.3893834],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_6796391598a9e0f54bd546d909ee0e1f = L.popup({"maxWidth": "100%"});\n", + " var popup_f60cb95b9c0b4d10c12ff7e43d33fed4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2471696fa0167998cc03c76967c634a4 = $(`<div id="html_2471696fa0167998cc03c76967c634a4" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_6796391598a9e0f54bd546d909ee0e1f.setContent(html_2471696fa0167998cc03c76967c634a4);\n", + " var html_f6ece198a8dd6a673f84995256865745 = $(`<div id="html_f6ece198a8dd6a673f84995256865745" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_f60cb95b9c0b4d10c12ff7e43d33fed4.setContent(html_f6ece198a8dd6a673f84995256865745);\n", " \n", "\n", - " circle_marker_ce49bc47165625e79b2ec8a8f72351d1.bindPopup(popup_6796391598a9e0f54bd546d909ee0e1f)\n", + " circle_marker_0889a21dc28a9f8c5a564af4e71d87f6.bindPopup(popup_f60cb95b9c0b4d10c12ff7e43d33fed4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_90ecb112d4a0e032f39da7b24f5c2301 = L.circleMarker(\n", + " var circle_marker_c75517dc636f418357144fd589bcfcd2 = L.circleMarker(\n", " [43.6657524, -79.3888806],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_b6f7f5a6e346ed14d10f538078936845 = L.popup({"maxWidth": "100%"});\n", + " var popup_82e41be2473a3a9c031a2b41f97dd865 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_7df089a93aa5f2046ea4f9da9451b3ff = $(`<div id="html_7df089a93aa5f2046ea4f9da9451b3ff" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_b6f7f5a6e346ed14d10f538078936845.setContent(html_7df089a93aa5f2046ea4f9da9451b3ff);\n", + " var html_256bf21f0c99b991298391fa58783e10 = $(`<div id="html_256bf21f0c99b991298391fa58783e10" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_82e41be2473a3a9c031a2b41f97dd865.setContent(html_256bf21f0c99b991298391fa58783e10);\n", " \n", "\n", - " circle_marker_90ecb112d4a0e032f39da7b24f5c2301.bindPopup(popup_b6f7f5a6e346ed14d10f538078936845)\n", + " circle_marker_c75517dc636f418357144fd589bcfcd2.bindPopup(popup_82e41be2473a3a9c031a2b41f97dd865)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_84c5d00eb2561770d07d3d768d5b1737 = L.circleMarker(\n", + " var circle_marker_f610277386ffae1e210ea3d5113aec78 = L.circleMarker(\n", " [43.6660491, -79.3894576],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_ed9e02529fcc0e133be559f23f756385 = L.popup({"maxWidth": "100%"});\n", + " var popup_6d8c92893264abb03984128782385f55 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_b031c50c3c5f79016ba630bbbc36a880 = $(`<div id="html_b031c50c3c5f79016ba630bbbc36a880" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_ed9e02529fcc0e133be559f23f756385.setContent(html_b031c50c3c5f79016ba630bbbc36a880);\n", + " var html_360d8b448b08580a34bf2c8754e01de7 = $(`<div id="html_360d8b448b08580a34bf2c8754e01de7" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_6d8c92893264abb03984128782385f55.setContent(html_360d8b448b08580a34bf2c8754e01de7);\n", " \n", "\n", - " circle_marker_84c5d00eb2561770d07d3d768d5b1737.bindPopup(popup_ed9e02529fcc0e133be559f23f756385)\n", + " circle_marker_f610277386ffae1e210ea3d5113aec78.bindPopup(popup_6d8c92893264abb03984128782385f55)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_3d624f8a26286602c2fab88b578491ba = L.circleMarker(\n", + " var circle_marker_c431208f8d3f4dd67dcd1bba9823b70b = L.circleMarker(\n", " [43.6663937, -79.3897654],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_8d8664fb35bd2a005bc9a9ebe615090b = L.popup({"maxWidth": "100%"});\n", + " var popup_e693c2867f603c5273c71c15ee33d729 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a2952a0581207a1c5fe84d938824b3c6 = $(`<div id="html_a2952a0581207a1c5fe84d938824b3c6" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_8d8664fb35bd2a005bc9a9ebe615090b.setContent(html_a2952a0581207a1c5fe84d938824b3c6);\n", + " var html_8db9262fd6b2da073a7e3bd1eb970072 = $(`<div id="html_8db9262fd6b2da073a7e3bd1eb970072" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_e693c2867f603c5273c71c15ee33d729.setContent(html_8db9262fd6b2da073a7e3bd1eb970072);\n", " \n", "\n", - " circle_marker_3d624f8a26286602c2fab88b578491ba.bindPopup(popup_8d8664fb35bd2a005bc9a9ebe615090b)\n", + " circle_marker_c431208f8d3f4dd67dcd1bba9823b70b.bindPopup(popup_e693c2867f603c5273c71c15ee33d729)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7453be707ea8f06bfdd08b6232bb833f = L.circleMarker(\n", + " var circle_marker_7e14845476b73e303a1060834c1a711d = L.circleMarker(\n", " [43.6674639, -79.3917361],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_06a12e03747e26cd5fc5aa77098786d8 = L.popup({"maxWidth": "100%"});\n", + " var popup_41827fca1c38c48215e5a33f77df6031 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_8fb8440abec328c3b59aafc99a49efc7 = $(`<div id="html_8fb8440abec328c3b59aafc99a49efc7" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_06a12e03747e26cd5fc5aa77098786d8.setContent(html_8fb8440abec328c3b59aafc99a49efc7);\n", + " var html_5c7096d8a62a192aa1ab71cc348db4bb = $(`<div id="html_5c7096d8a62a192aa1ab71cc348db4bb" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_41827fca1c38c48215e5a33f77df6031.setContent(html_5c7096d8a62a192aa1ab71cc348db4bb);\n", " \n", "\n", - " circle_marker_7453be707ea8f06bfdd08b6232bb833f.bindPopup(popup_06a12e03747e26cd5fc5aa77098786d8)\n", + " circle_marker_7e14845476b73e303a1060834c1a711d.bindPopup(popup_41827fca1c38c48215e5a33f77df6031)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_548fb1a09d7f787e2cc183b9a60301de = L.circleMarker(\n", + " var circle_marker_0a7014e45f392bca21ebaa84312b4220 = L.circleMarker(\n", " [43.6644228, -79.3981613],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_21cec21f0f9b291743ddd910ac6df78f = L.popup({"maxWidth": "100%"});\n", + " var popup_1e3551455475f8bbc221b3fde4c545ac = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_3a2822c3397fea08695cabeab3c7f15d = $(`<div id="html_3a2822c3397fea08695cabeab3c7f15d" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_21cec21f0f9b291743ddd910ac6df78f.setContent(html_3a2822c3397fea08695cabeab3c7f15d);\n", + " var html_5dfb8b9ba72115e99df539855ac5411f = $(`<div id="html_5dfb8b9ba72115e99df539855ac5411f" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_1e3551455475f8bbc221b3fde4c545ac.setContent(html_5dfb8b9ba72115e99df539855ac5411f);\n", " \n", "\n", - " circle_marker_548fb1a09d7f787e2cc183b9a60301de.bindPopup(popup_21cec21f0f9b291743ddd910ac6df78f)\n", + " circle_marker_0a7014e45f392bca21ebaa84312b4220.bindPopup(popup_1e3551455475f8bbc221b3fde4c545ac)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_969cb829fd72d04d432d7bc247320cfb = L.circleMarker(\n", + " var circle_marker_ae3a04a145ca76591d8e64c0db76bd59 = L.circleMarker(\n", " [43.6608131, -79.387837],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_d773160c7825b10ab3892418e758ba17 = L.popup({"maxWidth": "100%"});\n", + " var popup_3477b38939f433ee5ec986cc4967aaf8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_285373623b905a6971a388ad8551af58 = $(`<div id="html_285373623b905a6971a388ad8551af58" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_d773160c7825b10ab3892418e758ba17.setContent(html_285373623b905a6971a388ad8551af58);\n", + " var html_360a256b12a2b9fd06156524dcc3b2cf = $(`<div id="html_360a256b12a2b9fd06156524dcc3b2cf" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_3477b38939f433ee5ec986cc4967aaf8.setContent(html_360a256b12a2b9fd06156524dcc3b2cf);\n", " \n", "\n", - " circle_marker_969cb829fd72d04d432d7bc247320cfb.bindPopup(popup_d773160c7825b10ab3892418e758ba17)\n", + " circle_marker_ae3a04a145ca76591d8e64c0db76bd59.bindPopup(popup_3477b38939f433ee5ec986cc4967aaf8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4f4d05ce4e03095bb8845c4a4296c0d0 = L.circleMarker(\n", + " var circle_marker_447ae8485e005e98e7b06cdb9b5f2b5c = L.circleMarker(\n", " [43.6606226, -79.3880876],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_22e8184b63403f8660ce330d9d911a8b = L.popup({"maxWidth": "100%"});\n", + " var popup_c34f6dfd3baaf3198b00b560317bbc54 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_8c232dda6f06b9a535a660f421d52350 = $(`<div id="html_8c232dda6f06b9a535a660f421d52350" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_22e8184b63403f8660ce330d9d911a8b.setContent(html_8c232dda6f06b9a535a660f421d52350);\n", + " var html_540593fafffeeadb619ddaf83677b56e = $(`<div id="html_540593fafffeeadb619ddaf83677b56e" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_c34f6dfd3baaf3198b00b560317bbc54.setContent(html_540593fafffeeadb619ddaf83677b56e);\n", " \n", "\n", - " circle_marker_4f4d05ce4e03095bb8845c4a4296c0d0.bindPopup(popup_22e8184b63403f8660ce330d9d911a8b)\n", + " circle_marker_447ae8485e005e98e7b06cdb9b5f2b5c.bindPopup(popup_c34f6dfd3baaf3198b00b560317bbc54)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f3c8bffe4514a9a9fa41204983f9638a = L.circleMarker(\n", + " var circle_marker_db9d6831323dcdcedd5192b553222d72 = L.circleMarker(\n", " [43.6605821, -79.3886232],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_f46905ba15ded3468e2f3abeb526d5c1 = L.popup({"maxWidth": "100%"});\n", + " var popup_1dd31d79c7fad7584e9f88888ebf64d2 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_be007e7a398220455ca507dfecdb566a = $(`<div id="html_be007e7a398220455ca507dfecdb566a" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_f46905ba15ded3468e2f3abeb526d5c1.setContent(html_be007e7a398220455ca507dfecdb566a);\n", + " var html_9aa73d0cda4bf88be40e7ca5d116e991 = $(`<div id="html_9aa73d0cda4bf88be40e7ca5d116e991" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_1dd31d79c7fad7584e9f88888ebf64d2.setContent(html_9aa73d0cda4bf88be40e7ca5d116e991);\n", " \n", "\n", - " circle_marker_f3c8bffe4514a9a9fa41204983f9638a.bindPopup(popup_f46905ba15ded3468e2f3abeb526d5c1)\n", + " circle_marker_db9d6831323dcdcedd5192b553222d72.bindPopup(popup_1dd31d79c7fad7584e9f88888ebf64d2)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_dc365436213e3470212f3fa74e97ba64 = L.circleMarker(\n", + " var circle_marker_813ed08ffe7ad70c22e5637dc5038678 = L.circleMarker(\n", " [43.6603578, -79.3918974],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_eb169ffe6a2c79e3cbcaf5ea16f19b84 = L.popup({"maxWidth": "100%"});\n", + " var popup_b2365dab277d612ea286bea3e0c0d889 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e7e5bc008ecf2f61116618df72e8bec6 = $(`<div id="html_e7e5bc008ecf2f61116618df72e8bec6" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_eb169ffe6a2c79e3cbcaf5ea16f19b84.setContent(html_e7e5bc008ecf2f61116618df72e8bec6);\n", + " var html_e3c0db8681cfd80a212c6b414f635fb8 = $(`<div id="html_e3c0db8681cfd80a212c6b414f635fb8" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_b2365dab277d612ea286bea3e0c0d889.setContent(html_e3c0db8681cfd80a212c6b414f635fb8);\n", " \n", "\n", - " circle_marker_dc365436213e3470212f3fa74e97ba64.bindPopup(popup_eb169ffe6a2c79e3cbcaf5ea16f19b84)\n", + " circle_marker_813ed08ffe7ad70c22e5637dc5038678.bindPopup(popup_b2365dab277d612ea286bea3e0c0d889)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_5b4d10e6d5f3cd358d1937e200f7eb94 = L.circleMarker(\n", + " var circle_marker_47a340ec83a7ae5918b8aa9c49ffdfbd = L.circleMarker(\n", " [43.6612699, -79.392926],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_1e474a5a97315ffb4cb7f3092d8c49cc = L.popup({"maxWidth": "100%"});\n", + " var popup_d970eec086a403522ad13349bd852713 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6e66efd90483feab91aa1a8c9ab1e96e = $(`<div id="html_6e66efd90483feab91aa1a8c9ab1e96e" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_1e474a5a97315ffb4cb7f3092d8c49cc.setContent(html_6e66efd90483feab91aa1a8c9ab1e96e);\n", + " var html_4e2b2427bdce92e9893c79966c135a7c = $(`<div id="html_4e2b2427bdce92e9893c79966c135a7c" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_d970eec086a403522ad13349bd852713.setContent(html_4e2b2427bdce92e9893c79966c135a7c);\n", " \n", "\n", - " circle_marker_5b4d10e6d5f3cd358d1937e200f7eb94.bindPopup(popup_1e474a5a97315ffb4cb7f3092d8c49cc)\n", + " circle_marker_47a340ec83a7ae5918b8aa9c49ffdfbd.bindPopup(popup_d970eec086a403522ad13349bd852713)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7f14deabd082dddfa21ec66c2b2884d4 = L.circleMarker(\n", + " var circle_marker_411e01d7c84f865c1c5bf26b65d68c21 = L.circleMarker(\n", " [43.6619371, -79.3929687],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_232c3e5968ad6b5bbe180c7f89d28cde = L.popup({"maxWidth": "100%"});\n", + " var popup_9a2cef40520b07a76b49fb12c0d89a43 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d43db1b48757a1e60ed2c71519b1fa85 = $(`<div id="html_d43db1b48757a1e60ed2c71519b1fa85" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_232c3e5968ad6b5bbe180c7f89d28cde.setContent(html_d43db1b48757a1e60ed2c71519b1fa85);\n", + " var html_0842c81236a89d8c4f23ec3844983fea = $(`<div id="html_0842c81236a89d8c4f23ec3844983fea" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_9a2cef40520b07a76b49fb12c0d89a43.setContent(html_0842c81236a89d8c4f23ec3844983fea);\n", " \n", "\n", - " circle_marker_7f14deabd082dddfa21ec66c2b2884d4.bindPopup(popup_232c3e5968ad6b5bbe180c7f89d28cde)\n", + " circle_marker_411e01d7c84f865c1c5bf26b65d68c21.bindPopup(popup_9a2cef40520b07a76b49fb12c0d89a43)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_76cfd36d5eb423989525e7113b223588 = L.circleMarker(\n", + " var circle_marker_a96fc89f731d292b4d1cc0d60ea7e26e = L.circleMarker(\n", " [43.6656444, -79.3909407],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_ad8a94bb1bd1d9231e5f92e9d6d0eeff = L.popup({"maxWidth": "100%"});\n", + " var popup_44dff9aa09fc5d83485d6bf531a5c1c2 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_9cc42ccabd39c7b099074361e29383d8 = $(`<div id="html_9cc42ccabd39c7b099074361e29383d8" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_ad8a94bb1bd1d9231e5f92e9d6d0eeff.setContent(html_9cc42ccabd39c7b099074361e29383d8);\n", + " var html_d55bbc3c6327c223c69d634f2db7275f = $(`<div id="html_d55bbc3c6327c223c69d634f2db7275f" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_44dff9aa09fc5d83485d6bf531a5c1c2.setContent(html_d55bbc3c6327c223c69d634f2db7275f);\n", " \n", "\n", - " circle_marker_76cfd36d5eb423989525e7113b223588.bindPopup(popup_ad8a94bb1bd1d9231e5f92e9d6d0eeff)\n", + " circle_marker_a96fc89f731d292b4d1cc0d60ea7e26e.bindPopup(popup_44dff9aa09fc5d83485d6bf531a5c1c2)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4a3c1d2e787379febdc5f07c09900bc0 = L.circleMarker(\n", + " var circle_marker_af91097707b5262277bcd9aa9f5342ac = L.circleMarker(\n", " [43.6653867, -79.3908241],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_f3da44d1414069ee077eac7ffeeb598f = L.popup({"maxWidth": "100%"});\n", + " var popup_e551512c01630a78d9e4712e7ecf6398 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_30357110933c5557a2ad67c0f660261b = $(`<div id="html_30357110933c5557a2ad67c0f660261b" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_f3da44d1414069ee077eac7ffeeb598f.setContent(html_30357110933c5557a2ad67c0f660261b);\n", + " var html_4002d1068081bfe3b47488747c012504 = $(`<div id="html_4002d1068081bfe3b47488747c012504" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_e551512c01630a78d9e4712e7ecf6398.setContent(html_4002d1068081bfe3b47488747c012504);\n", " \n", "\n", - " circle_marker_4a3c1d2e787379febdc5f07c09900bc0.bindPopup(popup_f3da44d1414069ee077eac7ffeeb598f)\n", + " circle_marker_af91097707b5262277bcd9aa9f5342ac.bindPopup(popup_e551512c01630a78d9e4712e7ecf6398)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_39d2d342782eb7e0016b0922860f7390 = L.circleMarker(\n", + " var circle_marker_be1d1d788896e5ff2a80bff1a7c75352 = L.circleMarker(\n", " [43.6666687, -79.3902908],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_c45352f7295389d3f800bf0b87857c28 = L.popup({"maxWidth": "100%"});\n", + " var popup_1d38d6e6b8c34561570100a4f44cd946 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f8d2e2d53a8083dad390c2f49c750752 = $(`<div id="html_f8d2e2d53a8083dad390c2f49c750752" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_c45352f7295389d3f800bf0b87857c28.setContent(html_f8d2e2d53a8083dad390c2f49c750752);\n", + " var html_4e03b3d7be61dbe2dccd935ef3f5f813 = $(`<div id="html_4e03b3d7be61dbe2dccd935ef3f5f813" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_1d38d6e6b8c34561570100a4f44cd946.setContent(html_4e03b3d7be61dbe2dccd935ef3f5f813);\n", " \n", "\n", - " circle_marker_39d2d342782eb7e0016b0922860f7390.bindPopup(popup_c45352f7295389d3f800bf0b87857c28)\n", + " circle_marker_be1d1d788896e5ff2a80bff1a7c75352.bindPopup(popup_1d38d6e6b8c34561570100a4f44cd946)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_5bf0849a110a95f4b9f560d956d77af6 = L.circleMarker(\n", + " var circle_marker_ebad3eb652366c2513d011acf0dac6f3 = L.circleMarker(\n", " [43.6661749, -79.3902904],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_24f4077f7ff1405fe422ead45871e8c1 = L.popup({"maxWidth": "100%"});\n", + " var popup_92442af48fe5cc2e266898e90b12d43b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_b6c3c1a2a32c3dd5f428678c1aa666e6 = $(`<div id="html_b6c3c1a2a32c3dd5f428678c1aa666e6" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_24f4077f7ff1405fe422ead45871e8c1.setContent(html_b6c3c1a2a32c3dd5f428678c1aa666e6);\n", + " var html_157cb635f1bb567987701f12591582ac = $(`<div id="html_157cb635f1bb567987701f12591582ac" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_92442af48fe5cc2e266898e90b12d43b.setContent(html_157cb635f1bb567987701f12591582ac);\n", " \n", "\n", - " circle_marker_5bf0849a110a95f4b9f560d956d77af6.bindPopup(popup_24f4077f7ff1405fe422ead45871e8c1)\n", + " circle_marker_ebad3eb652366c2513d011acf0dac6f3.bindPopup(popup_92442af48fe5cc2e266898e90b12d43b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1ead670b7cb0876a0c953c8222189b0c = L.circleMarker(\n", + " var circle_marker_86bd87b42133f4532f968328512ae37d = L.circleMarker(\n", " [43.6647518, -79.3906171],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_e8048611a048336ce89d1b4d7e403289 = L.popup({"maxWidth": "100%"});\n", + " var popup_3e065241ad01299c564620058c9e0a4b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_65168824dc626fb3a74e18695a3db75d = $(`<div id="html_65168824dc626fb3a74e18695a3db75d" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_e8048611a048336ce89d1b4d7e403289.setContent(html_65168824dc626fb3a74e18695a3db75d);\n", + " var html_66d95f4f13becec8eca289fe3ebb6df0 = $(`<div id="html_66d95f4f13becec8eca289fe3ebb6df0" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_3e065241ad01299c564620058c9e0a4b.setContent(html_66d95f4f13becec8eca289fe3ebb6df0);\n", " \n", "\n", - " circle_marker_1ead670b7cb0876a0c953c8222189b0c.bindPopup(popup_e8048611a048336ce89d1b4d7e403289)\n", + " circle_marker_86bd87b42133f4532f968328512ae37d.bindPopup(popup_3e065241ad01299c564620058c9e0a4b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0292087b3faea6dffce26009f8d4b512 = L.circleMarker(\n", + " var circle_marker_ae88730b57e5685d7f7013c7d2fff76f = L.circleMarker(\n", " [43.6645719, -79.3905489],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_dfac87ff3a2f1b5c7b3c923f27c91560 = L.popup({"maxWidth": "100%"});\n", + " var popup_4c20824a50b6d11831e32cbee4d2acb0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_4153c7c36f35541ae74ef09203443c8b = $(`<div id="html_4153c7c36f35541ae74ef09203443c8b" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_dfac87ff3a2f1b5c7b3c923f27c91560.setContent(html_4153c7c36f35541ae74ef09203443c8b);\n", + " var html_baef8f099af918807cc7b599c58652d9 = $(`<div id="html_baef8f099af918807cc7b599c58652d9" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_4c20824a50b6d11831e32cbee4d2acb0.setContent(html_baef8f099af918807cc7b599c58652d9);\n", " \n", "\n", - " circle_marker_0292087b3faea6dffce26009f8d4b512.bindPopup(popup_dfac87ff3a2f1b5c7b3c923f27c91560)\n", + " circle_marker_ae88730b57e5685d7f7013c7d2fff76f.bindPopup(popup_4c20824a50b6d11831e32cbee4d2acb0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_898e7322b9d73096076a077eac74c8b2 = L.circleMarker(\n", + " var circle_marker_e39075b87c556dafee45d5b89b771265 = L.circleMarker(\n", " [43.6642662, -79.3904015],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_1ef199c3d2615c91d6064395680508e9 = L.popup({"maxWidth": "100%"});\n", + " var popup_99182a1fdb801ce7013d4c3970602186 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_dfccbaba662c604118bd18db342ceb0a = $(`<div id="html_dfccbaba662c604118bd18db342ceb0a" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_1ef199c3d2615c91d6064395680508e9.setContent(html_dfccbaba662c604118bd18db342ceb0a);\n", + " var html_b572cb52a3411cca0c0dcf6b06a9e678 = $(`<div id="html_b572cb52a3411cca0c0dcf6b06a9e678" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_99182a1fdb801ce7013d4c3970602186.setContent(html_b572cb52a3411cca0c0dcf6b06a9e678);\n", " \n", "\n", - " circle_marker_898e7322b9d73096076a077eac74c8b2.bindPopup(popup_1ef199c3d2615c91d6064395680508e9)\n", + " circle_marker_e39075b87c556dafee45d5b89b771265.bindPopup(popup_99182a1fdb801ce7013d4c3970602186)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_cedd611e9bf41044d0c82ef645097572 = L.circleMarker(\n", + " var circle_marker_304f9970231a7333a8fc5d18f937ae15 = L.circleMarker(\n", " [43.6677618, -79.3924051],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_27cd3e51f488bc15b4b0626392711b78 = L.popup({"maxWidth": "100%"});\n", + " var popup_d9674594eebffe2d70d8d00330b34ee2 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_431205f9639e072799b00360869c51a4 = $(`<div id="html_431205f9639e072799b00360869c51a4" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_27cd3e51f488bc15b4b0626392711b78.setContent(html_431205f9639e072799b00360869c51a4);\n", + " var html_2bfb6251162b66a979a7dc4d80b7daf2 = $(`<div id="html_2bfb6251162b66a979a7dc4d80b7daf2" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_d9674594eebffe2d70d8d00330b34ee2.setContent(html_2bfb6251162b66a979a7dc4d80b7daf2);\n", " \n", "\n", - " circle_marker_cedd611e9bf41044d0c82ef645097572.bindPopup(popup_27cd3e51f488bc15b4b0626392711b78)\n", + " circle_marker_304f9970231a7333a8fc5d18f937ae15.bindPopup(popup_d9674594eebffe2d70d8d00330b34ee2)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_40adae442c6c326d19382180e4149775 = L.circleMarker(\n", + " var circle_marker_fc0e7908639dcff9e6c604a5c2dad7e1 = L.circleMarker(\n", " [43.6678101, -79.3929754],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_f6fc3774d1f6e79ae9d76e48b8f3808c = L.popup({"maxWidth": "100%"});\n", + " var popup_1638fd8f5064b8b130668569fdde450b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_db964ec09a6ba7ede132d5237619ea7c = $(`<div id="html_db964ec09a6ba7ede132d5237619ea7c" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_f6fc3774d1f6e79ae9d76e48b8f3808c.setContent(html_db964ec09a6ba7ede132d5237619ea7c);\n", + " var html_23779e18cb92f346bd1b26f0b86a5254 = $(`<div id="html_23779e18cb92f346bd1b26f0b86a5254" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_1638fd8f5064b8b130668569fdde450b.setContent(html_23779e18cb92f346bd1b26f0b86a5254);\n", " \n", "\n", - " circle_marker_40adae442c6c326d19382180e4149775.bindPopup(popup_f6fc3774d1f6e79ae9d76e48b8f3808c)\n", + " circle_marker_fc0e7908639dcff9e6c604a5c2dad7e1.bindPopup(popup_1638fd8f5064b8b130668569fdde450b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_5071d5f2169d406ea276295bd05691c1 = L.circleMarker(\n", + " var circle_marker_2bfc67ace9cd6bdd7952ab0e784ef3b2 = L.circleMarker(\n", " [43.6674204, -79.3908313],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_84a471c4e865d50c655595fddfe1e70f);\n", + " ).addTo(feature_group_f4b45aab71626d3bd4a3e4533df5bb8a);\n", " \n", " \n", - " var popup_8ad12d0b079f720312b0469049e0d5de = L.popup({"maxWidth": "100%"});\n", + " var popup_eb95a480e3ee294ea541b07ac9d6f728 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6295816df7c6a7b22f87669e7fd1b7e0 = $(`<div id="html_6295816df7c6a7b22f87669e7fd1b7e0" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", - " popup_8ad12d0b079f720312b0469049e0d5de.setContent(html_6295816df7c6a7b22f87669e7fd1b7e0);\n", + " var html_19dd9bf33bbaab91fc469442374b9141 = $(`<div id="html_19dd9bf33bbaab91fc469442374b9141" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_eb95a480e3ee294ea541b07ac9d6f728.setContent(html_19dd9bf33bbaab91fc469442374b9141);\n", " \n", "\n", - " circle_marker_5071d5f2169d406ea276295bd05691c1.bindPopup(popup_8ad12d0b079f720312b0469049e0d5de)\n", + " circle_marker_2bfc67ace9cd6bdd7952ab0e784ef3b2.bindPopup(popup_eb95a480e3ee294ea541b07ac9d6f728)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_3e5b194598147a2c2aee09771911174d = L.circleMarker(\n", + " var circle_marker_e0cb408c44a9fa138e570c4b609fb6e0 = L.circleMarker(\n", " [43.6673727, -79.3900057],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 8, "stroke": true, "weight": 3}\n", - 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" popup_57650bf8a32361cb687a51ab7447853b.setContent(html_117ef9fcbe816dac14188a058ad88613);\n", + " var html_32264942a3131c8a1eacdecabe52d7ac = $(`<div id="html_32264942a3131c8a1eacdecabe52d7ac" style="width: 100.0%; height: 100.0%;">Building allocated to First Aid Station with index: 29</div>`)[0];\n", + " popup_65d574cc41d2765d3eb7fee10670a4ec.setContent(html_32264942a3131c8a1eacdecabe52d7ac);\n", " \n", "\n", - " circle_marker_0310c7d1889d3c41a842192529c9b5be.bindPopup(popup_57650bf8a32361cb687a51ab7447853b)\n", + " circle_marker_3d3c0b6fe00907564f751c8fb250812d.bindPopup(popup_65d574cc41d2765d3eb7fee10670a4ec)\n", " ;\n", "\n", " \n", " \n", " \n", - " var layer_control_d86b9ea751f1a58a9015b2c98ef93481 = {\n", + " var layer_control_dc679d14885d945fcd7551a779ea879c = {\n", " base_layers : {\n", - " "cartodbpositron" : tile_layer_ae8b5237e2ab33b71e92e48a42e0a2ef,\n", + " "cartodbpositron" : tile_layer_d546fe549e2e692bc984ba1c74fe86a9,\n", " },\n", " overlays : {\n", - " "University Buildings" : feature_group_209a2cf9db620695c02f01b815a7cb76,\n", - " "First Aid Station Locations" : feature_group_08e37d98fcbc0681e3c2f8ad8fb5e7ab,\n", - " "Sited First Aid Stations" : feature_group_6d1226bdb1bcc890d6cea15c90a16e79,\n", - " "Allocated Buildings" : feature_group_84a471c4e865d50c655595fddfe1e70f,\n", + " "University Buildings" : feature_group_a869283d875deaa9ce35cc6f6821ddb4,\n", + " "First Aid Station Locations" : feature_group_803d9a3f4b34f19348ba88374f7b3978,\n", + " "Sited First Aid Stations" : feature_group_aec0b396060d835c1178f1702d0b176f,\n", + " "Allocated Buildings" : feature_group_f4b45aab71626d3bd4a3e4533df5bb8a,\n", " },\n", " };\n", " L.control.layers(\n", - " layer_control_d86b9ea751f1a58a9015b2c98ef93481.base_layers,\n", - " layer_control_d86b9ea751f1a58a9015b2c98ef93481.overlays,\n", + " layer_control_dc679d14885d945fcd7551a779ea879c.base_layers,\n", + " layer_control_dc679d14885d945fcd7551a779ea879c.overlays,\n", " {"autoZIndex": true, "collapsed": true, "position": "topright"}\n", - " ).addTo(map_41d5c158b9b4af1df3657788a30e2ee9);\n", + " ).addTo(map_b02cf1635014e3a5a2eb955eaae19375);\n", " \n", "</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen>" ], "text/plain": [ - "" + "" ] }, "execution_count": 21, @@ -12603,8 +12603,8 @@ "id": "25869602", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:53:01.379073Z", - "start_time": "2022-10-29T23:53:01.359938Z" + "end_time": "2022-10-31T13:27:11.221192Z", + "start_time": "2022-10-31T13:27:11.196657Z" } }, "outputs": [ diff --git a/notebooks/lscpb.ipynb b/notebooks/lscpb.ipynb index 78f07a6a..2e4db5a5 100644 --- a/notebooks/lscpb.ipynb +++ b/notebooks/lscpb.ipynb @@ -24,15 +24,15 @@ "\n", "___Subject to:___\n", "\\begin{equation*}\n", - "\\sum_{j} a_{ij}X_j \\geq 1 + U_i \\quad \\forall i\n", + "\\sum_{j} a_{ij}Y_j \\geq 1 + U_i \\quad \\forall i\n", "\\end{equation*}\n", "\n", "\\begin{equation*}\n", - "\\sum_j X_j = p\n", + "\\sum_j Y_j = p\n", "\\end{equation*}\n", "\n", "\\begin{equation*}\n", - "X_j = \\{0, 1\\} \\quad \\forall j\n", + "Y_j = \\{0, 1\\} \\quad \\forall j\n", "\\end{equation*}\n", "\n", "\\begin{equation*}\n", @@ -51,7 +51,7 @@ "& & a_{ij} & \\small = & \\begin{cases} \n", " 1, \\text{ if facility located at site } j \\text{ covers demand unit } i \\\\\n", " 0, \\text{ if not} \\end{cases} \\\\\n", - "& & X_j & \\small = & \\begin{cases} \n", + "& & Y_j & \\small = & \\begin{cases} \n", " 1, \\text{ if a facility is located at potential site } j \\\\\n", " 0, \\text{ otherwise} \\end{cases} \\\\\n", "\\end{array}\n", @@ -67,8 +67,8 @@ "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:32.644726Z", - "start_time": "2022-10-29T17:24:32.591581Z" + "end_time": "2022-10-31T17:52:59.650020Z", + "start_time": "2022-10-31T17:52:59.610359Z" } }, "outputs": [ @@ -76,7 +76,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Last updated: 2022-10-29T13:24:32.631069-04:00\n", + "Last updated: 2022-10-31T13:52:59.638183-04:00\n", "\n", "Python implementation: CPython\n", "Python version : 3.10.6\n", @@ -104,8 +104,8 @@ "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:34.971993Z", - "start_time": "2022-10-29T17:24:32.650133Z" + "end_time": "2022-10-31T17:53:02.079562Z", + "start_time": "2022-10-31T17:52:59.653721Z" } }, "outputs": [ @@ -115,14 +115,14 @@ "text": [ "Watermark: 2.3.1\n", "\n", - "geopandas : 0.11.1\n", - "spaghetti : 1.6.7\n", + "shapely : 1.8.5\n", + "matplotlib: 3.6.1\n", + "numpy : 1.23.3\n", "json : 2.0.9\n", + "spaghetti : 1.6.7\n", "pulp : 2.6.0\n", "spopt : 0.4.1+200.g336f235.dirty\n", - "matplotlib: 3.6.1\n", - "numpy : 1.23.3\n", - "shapely : 1.8.5\n", + "geopandas : 0.11.1\n", "\n" ] } @@ -159,8 +159,8 @@ "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:34.979633Z", - "start_time": "2022-10-29T17:24:34.975455Z" + "end_time": "2022-10-31T17:53:02.086610Z", + "start_time": "2022-10-31T17:53:02.082968Z" } }, "outputs": [], @@ -196,8 +196,8 @@ "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:35.016691Z", - "start_time": "2022-10-29T17:24:34.981615Z" + "end_time": "2022-10-31T17:53:02.126737Z", + "start_time": "2022-10-31T17:53:02.091053Z" } }, "outputs": [], @@ -218,8 +218,8 @@ "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:35.136610Z", - "start_time": "2022-10-29T17:24:35.019245Z" + "end_time": "2022-10-31T17:53:02.255498Z", + "start_time": "2022-10-31T17:53:02.128533Z" } }, "outputs": [], @@ -232,8 +232,8 @@ "execution_count": 6, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:35.168433Z", - "start_time": "2022-10-29T17:24:35.138851Z" + "end_time": "2022-10-31T17:53:02.286980Z", + "start_time": "2022-10-31T17:53:02.258500Z" } }, "outputs": [], @@ -257,8 +257,8 @@ "execution_count": 7, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:35.346544Z", - "start_time": "2022-10-29T17:24:35.171096Z" + "end_time": "2022-10-31T17:53:02.460044Z", + "start_time": "2022-10-31T17:53:02.289952Z" } }, "outputs": [ @@ -296,8 +296,8 @@ "execution_count": 8, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:35.366827Z", - "start_time": "2022-10-29T17:24:35.349408Z" + "end_time": "2022-10-31T17:53:02.477860Z", + "start_time": "2022-10-31T17:53:02.462610Z" } }, "outputs": [], @@ -322,8 +322,8 @@ "execution_count": 9, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:35.843791Z", - "start_time": "2022-10-29T17:24:35.369393Z" + "end_time": "2022-10-31T17:53:02.965634Z", + "start_time": "2022-10-31T17:53:02.480345Z" } }, "outputs": [ @@ -369,8 +369,8 @@ "execution_count": 10, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:35.927274Z", - "start_time": "2022-10-29T17:24:35.846610Z" + "end_time": "2022-10-31T17:53:03.058179Z", + "start_time": "2022-10-31T17:53:02.971456Z" } }, "outputs": [], @@ -396,8 +396,8 @@ "execution_count": 11, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:36.347139Z", - "start_time": "2022-10-29T17:24:35.933953Z" + "end_time": "2022-10-31T17:53:03.429382Z", + "start_time": "2022-10-31T17:53:03.060377Z" } }, "outputs": [ @@ -440,8 +440,8 @@ "execution_count": 12, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:36.415608Z", - "start_time": "2022-10-29T17:24:36.349208Z" + "end_time": "2022-10-31T17:53:03.491921Z", + "start_time": "2022-10-31T17:53:03.431806Z" } }, "outputs": [ @@ -476,8 +476,8 @@ "execution_count": 13, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:36.425389Z", - "start_time": "2022-10-29T17:24:36.418969Z" + "end_time": "2022-10-31T17:53:03.500061Z", + "start_time": "2022-10-31T17:53:03.494611Z" } }, "outputs": [ @@ -510,8 +510,8 @@ "execution_count": 14, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:36.436325Z", - "start_time": "2022-10-29T17:24:36.428612Z" + "end_time": "2022-10-31T17:53:03.506818Z", + "start_time": "2022-10-31T17:53:03.502673Z" } }, "outputs": [ @@ -551,15 +551,15 @@ "execution_count": 15, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:36.519534Z", - "start_time": "2022-10-29T17:24:36.439471Z" + "end_time": "2022-10-31T17:53:03.573542Z", + "start_time": "2022-10-31T17:53:03.508678Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 15, @@ -580,15 +580,15 @@ "execution_count": 16, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:36.657662Z", - "start_time": "2022-10-29T17:24:36.523811Z" + "end_time": "2022-10-31T17:53:03.691715Z", + "start_time": "2022-10-31T17:53:03.578098Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 16, @@ -600,7 +600,7 @@ "lscpb_from_cm = LSCPB.from_cost_matrix(\n", " cost_matrix, SERVICE_RADIUS, solver, name=\"LSCPB-network-distance\"\n", ")\n", - "lscpb_from_cm = lscpb_from_cm.solve(solver)\n", + "lscpb_from_cm = lscpb_from_cm.solve()\n", "lscpb_from_cm" ] }, @@ -616,8 +616,8 @@ "execution_count": 17, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:36.665677Z", - "start_time": "2022-10-29T17:24:36.660818Z" + "end_time": "2022-10-31T17:53:03.699499Z", + "start_time": "2022-10-31T17:53:03.694900Z" } }, "outputs": [ @@ -633,7 +633,7 @@ "lscp_obj = lscp_from_cm.problem.objective.value()\n", "lscpb_obj = lscpb_from_cm.problem.objective.value()\n", "lscpb_lscp = lscpb_from_cm.lscp_obj_value\n", - "lscpb_perc = (lscpb_obj / len(lscpb_from_cm.cli_vars)) * 100.\n", + "lscpb_perc = lscpb_from_cm.backup_perc\n", "print(\n", " \"The minimum number of facilites needed to achieve complete \"\n", " f\"coverage within a distance units service radius of {SERVICE_RADIUS} \"\n", @@ -655,8 +655,8 @@ "execution_count": 18, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:36.683082Z", - "start_time": "2022-10-29T17:24:36.668068Z" + "end_time": "2022-10-31T17:53:03.715155Z", + "start_time": "2022-10-31T17:53:03.701948Z" } }, "outputs": [ @@ -761,9 +761,7 @@ ], "source": [ "facility_points[\"dv\"] = lscp_from_cm.fac_vars\n", - "facility_points[\"dv\"] = facility_points[\"dv\"].map(\n", - " lambda x: x.name.replace(\"_\", \"\").replace(\"x\", \"y\")\n", - ")\n", + "facility_points[\"dv\"] = facility_points[\"dv\"].map(lambda x: x.name.replace(\"_\", \"\"))\n", "facilities_snapped[\"dv\"] = facility_points[\"dv\"]\n", "facility_points" ] @@ -782,15 +780,15 @@ "execution_count": 19, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:36.757166Z", - "start_time": "2022-10-29T17:24:36.685543Z" + "end_time": "2022-10-31T17:53:03.780454Z", + "start_time": "2022-10-31T17:53:03.717305Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 19, @@ -818,15 +816,15 @@ "execution_count": 20, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:36.892805Z", - "start_time": "2022-10-29T17:24:36.760271Z" + "end_time": "2022-10-31T17:53:03.896842Z", + "start_time": "2022-10-31T17:53:03.783691Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 20, @@ -846,7 +844,7 @@ " distance_metric=distance_metric,\n", " name=f\"LSCPB-{distance_metric}-distance\"\n", ")\n", - "lscpb_from_gdf = lscpb_from_gdf.solve(solver)\n", + "lscpb_from_gdf = lscpb_from_gdf.solve()\n", "lscpb_from_gdf" ] }, @@ -855,8 +853,8 @@ "execution_count": 21, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:36.901826Z", - "start_time": "2022-10-29T17:24:36.897269Z" + "end_time": "2022-10-31T17:53:03.906335Z", + "start_time": "2022-10-31T17:53:03.901267Z" } }, "outputs": [ @@ -872,7 +870,7 @@ "lscp_obj = lscp_from_gdf.problem.objective.value()\n", "lscpb_obj = lscpb_from_gdf.problem.objective.value()\n", "lscpb_lscp = lscpb_from_gdf.lscp_obj_value\n", - "lscpb_perc = (lscpb_obj / len(lscpb_from_gdf.cli_vars)) * 100.\n", + "lscpb_perc = lscpb_from_gdf.backup_perc\n", "print(\n", " \"The minimum number of facilites needed to achieve complete \"\n", " f\"coverage within a distance units service radius of {SERVICE_RADIUS} \"\n", @@ -894,8 +892,8 @@ "execution_count": 22, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:36.920326Z", - "start_time": "2022-10-29T17:24:36.905174Z" + "end_time": "2022-10-31T17:53:03.921554Z", + "start_time": "2022-10-31T17:53:03.908548Z" } }, "outputs": [ @@ -1021,8 +1019,8 @@ "execution_count": 23, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:36.989385Z", - "start_time": "2022-10-29T17:24:36.923601Z" + "end_time": "2022-10-31T17:53:03.987191Z", + "start_time": "2022-10-31T17:53:03.923886Z" } }, "outputs": [], @@ -1045,8 +1043,8 @@ "execution_count": 24, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:37.109812Z", - "start_time": "2022-10-29T17:24:36.993143Z" + "end_time": "2022-10-31T17:53:04.102008Z", + "start_time": "2022-10-31T17:53:03.990198Z" } }, "outputs": [], @@ -1062,7 +1060,7 @@ " predefined_facility_col=\"predefined_loc\",\n", " name=f\"LSCPB-{distance_metric}-distance-predefined\"\n", ")\n", - "lscpb_from_gdf_pre = lscpb_from_gdf_pre.solve(solver)" + "lscpb_from_gdf_pre = lscpb_from_gdf_pre.solve()" ] }, { @@ -1070,8 +1068,8 @@ "execution_count": 25, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:37.118744Z", - "start_time": "2022-10-29T17:24:37.112919Z" + "end_time": "2022-10-31T17:53:04.110342Z", + "start_time": "2022-10-31T17:53:04.105803Z" } }, "outputs": [ @@ -1087,7 +1085,7 @@ "lscp_obj = lscp_from_gdf_pre.problem.objective.value()\n", "lscpb_obj = lscpb_from_gdf_pre.problem.objective.value()\n", "lscpb_lscp = lscpb_from_gdf_pre.lscp_obj_value\n", - "lscpb_perc = (lscpb_obj / len(lscpb_from_gdf_pre.cli_vars)) * 100.\n", + "lscpb_perc = lscpb_from_gdf_pre.backup_perc\n", "print(\n", " \"The minimum number of facilites needed to achieve complete \"\n", " f\"coverage within a distance units service radius of {SERVICE_RADIUS} \"\n", @@ -1111,8 +1109,8 @@ "execution_count": 26, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:37.129118Z", - "start_time": "2022-10-29T17:24:37.122559Z" + "end_time": "2022-10-31T17:53:04.118960Z", + "start_time": "2022-10-31T17:53:04.112667Z" } }, "outputs": [ @@ -1170,8 +1168,8 @@ "execution_count": 27, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:37.145636Z", - "start_time": "2022-10-29T17:24:37.131107Z" + "end_time": "2022-10-31T17:53:04.134507Z", + "start_time": "2022-10-31T17:53:04.122077Z" } }, "outputs": [], @@ -1275,8 +1273,8 @@ "execution_count": 28, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:37.895304Z", - "start_time": "2022-10-29T17:24:37.147782Z" + "end_time": "2022-10-31T17:53:04.797314Z", + "start_time": "2022-10-31T17:53:04.142123Z" } }, "outputs": [ @@ -1310,8 +1308,8 @@ "execution_count": 29, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:38.710445Z", - "start_time": "2022-10-29T17:24:37.897787Z" + "end_time": "2022-10-31T17:53:05.534045Z", + "start_time": "2022-10-31T17:53:04.799401Z" } }, "outputs": [ @@ -1342,8 +1340,8 @@ "execution_count": 30, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:39.609828Z", - "start_time": "2022-10-29T17:24:38.712838Z" + "end_time": "2022-10-31T17:53:06.328860Z", + "start_time": "2022-10-31T17:53:05.536314Z" } }, "outputs": [ @@ -1391,8 +1389,8 @@ "execution_count": 31, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:40.046571Z", - "start_time": "2022-10-29T17:24:39.612517Z" + "end_time": "2022-10-31T17:53:06.753284Z", + "start_time": "2022-10-31T17:53:06.331177Z" } }, "outputs": [ @@ -1426,8 +1424,8 @@ "execution_count": 32, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:40.489054Z", - "start_time": "2022-10-29T17:24:40.048646Z" + "end_time": "2022-10-31T17:53:07.182626Z", + "start_time": "2022-10-31T17:53:06.755348Z" } }, "outputs": [ @@ -1458,8 +1456,8 @@ "execution_count": 33, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:41.048526Z", - "start_time": "2022-10-29T17:24:40.491490Z" + "end_time": "2022-10-31T17:53:07.669813Z", + "start_time": "2022-10-31T17:53:07.184992Z" } }, "outputs": [ @@ -1503,8 +1501,8 @@ "execution_count": 34, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:41.735432Z", - "start_time": "2022-10-29T17:24:41.050436Z" + "end_time": "2022-10-31T17:53:08.281812Z", + "start_time": "2022-10-31T17:53:07.672258Z" } }, "outputs": [ @@ -1538,8 +1536,8 @@ "execution_count": 35, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:42.386707Z", - "start_time": "2022-10-29T17:24:41.737935Z" + "end_time": "2022-10-31T17:53:08.888583Z", + "start_time": "2022-10-31T17:53:08.284721Z" } }, "outputs": [ @@ -1573,8 +1571,8 @@ "execution_count": 36, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:24:43.300531Z", - "start_time": "2022-10-29T17:24:42.388845Z" + "end_time": "2022-10-31T17:53:09.716911Z", + "start_time": "2022-10-31T17:53:08.890856Z" } }, "outputs": [ diff --git a/notebooks/mclp.ipynb b/notebooks/mclp.ipynb index ac54a896..dca580e5 100644 --- a/notebooks/mclp.ipynb +++ b/notebooks/mclp.ipynb @@ -16,11 +16,11 @@ "\n", "**MCLP in math notation:**\n", "\n", - "$\\begin{array} \\displaystyle \\textbf{Maximize} & \\sum_{i=1}^{n}{a_iy_i} && (1) \\\\\n", - "\\displaystyle \\textbf{Subject to:} & \\sum_{j\\in N_i}{x_j \\geq y_i} & \\forall i & (2) \\\\\n", - " & \\sum_{j}{x_j = p} & \\forall j & (3) \\\\\n", - " & y_i \\in \\{0,1\\} & \\forall i & (4) \\\\\n", - " & x_j \\in \\{0,1\\} & \\forall j & (5) \\\\ \\end{array}$\n", + "$\\begin{array} \\displaystyle \\textbf{Maximize} & \\sum_{i=1}^{n}{a_iX_i} && (1) \\\\\n", + "\\displaystyle \\textbf{Subject to:} & \\sum_{j\\in N_i}{Y_j \\geq X_i} & \\forall i & (2) \\\\\n", + " & \\sum_{j}{Y_j = p} & \\forall j & (3) \\\\\n", + " & X_i \\in \\{0,1\\} & \\forall i & (4) \\\\\n", + " & Y_j \\in \\{0,1\\} & \\forall j & (5) \\\\ \\end{array}$\n", "\n", "$\\begin{array} \\displaystyle \\textbf{Where:}\\\\ & & \\displaystyle i & \\small = & \\textrm{index referencing nodes of the network as demand} \\\\\n", "& & j & \\small = & \\textrm{index referencing nodes of the network as potential facility sites} \\\\\n", @@ -28,16 +28,16 @@ "& & d_{ij} & \\small = & \\textrm{shortest distance or travel time between nodes } i \\textrm{ and } j \\\\\n", "& & N_i & \\small = & \\{j | d_{ij} < S\\} \\\\\n", "& & p & \\small = & \\textrm{number of facilities to be located} \\\\\n", - "& & x_j & \\small = & \\begin{cases} \n", + "& & Y_j & \\small = & \\begin{cases} \n", " 1, \\text{if a facility is located at node } j \\\\\n", " 0, \\text{otherwise} \\\\\n", " \\end{cases} \\\\\n", - "& & y_i & \\small = & \\begin{cases} \n", + "& & X_i & \\small = & \\begin{cases} \n", " 1, \\textrm{if demand } i \\textrm{ is covered within a service standard} \\\\\n", " 0, \\textrm{otherwise} \\\\\n", " \\end{cases}\\end{array}$\n", " \n", - "_This excerpt above was quoted from Church and Murray (2018)._\n", + "_This excerpt above is adapted from Church and Murray (2018)._\n", "\n", "This tutorial generates synthetic demand (clients) and facility sites near a 10x10 lattice representing a gridded urban core. Three MCLP instances are solved while varying parameters:\n", "* `MCLP.from_cost_matrix()` with network distance as the metric\n", @@ -50,8 +50,8 @@ "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:01.797620Z", - "start_time": "2022-10-29T17:25:01.747637Z" + "end_time": "2022-10-31T15:33:48.357648Z", + "start_time": "2022-10-31T15:33:48.307544Z" } }, "outputs": [ @@ -59,7 +59,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Last updated: 2022-10-29T13:25:01.781170-04:00\n", + "Last updated: 2022-10-31T11:33:48.343688-04:00\n", "\n", "Python implementation: CPython\n", "Python version : 3.10.6\n", @@ -87,8 +87,8 @@ "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:04.183788Z", - "start_time": "2022-10-29T17:25:01.802908Z" + "end_time": "2022-10-31T15:33:50.746379Z", + "start_time": "2022-10-31T15:33:48.361433Z" } }, "outputs": [ @@ -98,14 +98,14 @@ "text": [ "Watermark: 2.3.1\n", "\n", - "json : 2.0.9\n", - "matplotlib: 3.6.1\n", - "geopandas : 0.11.1\n", "shapely : 1.8.5\n", - "numpy : 1.23.3\n", "pulp : 2.6.0\n", "spaghetti : 1.6.7\n", + "json : 2.0.9\n", + "geopandas : 0.11.1\n", + "matplotlib: 3.6.1\n", "spopt : 0.4.1+200.g336f235.dirty\n", + "numpy : 1.23.3\n", "\n" ] } @@ -142,8 +142,8 @@ "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:04.190440Z", - "start_time": "2022-10-29T17:25:04.187111Z" + "end_time": "2022-10-31T15:33:50.756859Z", + "start_time": "2022-10-31T15:33:50.752906Z" } }, "outputs": [], @@ -182,8 +182,8 @@ "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:04.233672Z", - "start_time": "2022-10-29T17:25:04.194556Z" + "end_time": "2022-10-31T15:33:50.805978Z", + "start_time": "2022-10-31T15:33:50.762390Z" } }, "outputs": [], @@ -204,8 +204,8 @@ "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:04.358858Z", - "start_time": "2022-10-29T17:25:04.235955Z" + "end_time": "2022-10-31T15:33:50.957635Z", + "start_time": "2022-10-31T15:33:50.808646Z" } }, "outputs": [], @@ -218,8 +218,8 @@ "execution_count": 6, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:04.388924Z", - "start_time": "2022-10-29T17:25:04.361537Z" + "end_time": "2022-10-31T15:33:50.989046Z", + "start_time": "2022-10-31T15:33:50.959785Z" } }, "outputs": [], @@ -243,8 +243,8 @@ "execution_count": 7, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:04.579914Z", - "start_time": "2022-10-29T17:25:04.392475Z" + "end_time": "2022-10-31T15:33:51.176819Z", + "start_time": "2022-10-31T15:33:50.991189Z" } }, "outputs": [ @@ -282,8 +282,8 @@ "execution_count": 8, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:04.598813Z", - "start_time": "2022-10-29T17:25:04.582509Z" + "end_time": "2022-10-31T15:33:51.197918Z", + "start_time": "2022-10-31T15:33:51.179934Z" } }, "outputs": [], @@ -308,8 +308,8 @@ "execution_count": 9, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:05.087875Z", - "start_time": "2022-10-29T17:25:04.601447Z" + "end_time": "2022-10-31T15:33:51.779391Z", + "start_time": "2022-10-31T15:33:51.201113Z" } }, "outputs": [ @@ -351,8 +351,8 @@ "execution_count": 10, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:05.098981Z", - "start_time": "2022-10-29T17:25:05.093608Z" + "end_time": "2022-10-31T15:33:51.787577Z", + "start_time": "2022-10-31T15:33:51.782209Z" } }, "outputs": [ @@ -390,8 +390,8 @@ "execution_count": 11, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:05.106063Z", - "start_time": "2022-10-29T17:25:05.101424Z" + "end_time": "2022-10-31T15:33:51.799991Z", + "start_time": "2022-10-31T15:33:51.793323Z" } }, "outputs": [ @@ -416,8 +416,8 @@ "execution_count": 12, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:05.391022Z", - "start_time": "2022-10-29T17:25:05.108214Z" + "end_time": "2022-10-31T15:33:52.120104Z", + "start_time": "2022-10-31T15:33:51.803250Z" } }, "outputs": [ @@ -465,8 +465,8 @@ "execution_count": 13, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:05.479471Z", - "start_time": "2022-10-29T17:25:05.393600Z" + "end_time": "2022-10-31T15:33:52.212865Z", + "start_time": "2022-10-31T15:33:52.122992Z" } }, "outputs": [], @@ -492,8 +492,8 @@ "execution_count": 14, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:05.853539Z", - "start_time": "2022-10-29T17:25:05.482134Z" + "end_time": "2022-10-31T15:33:52.596728Z", + "start_time": "2022-10-31T15:33:52.215131Z" } }, "outputs": [ @@ -536,8 +536,8 @@ "execution_count": 15, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:05.916262Z", - "start_time": "2022-10-29T17:25:05.855942Z" + "end_time": "2022-10-31T15:33:52.659768Z", + "start_time": "2022-10-31T15:33:52.599787Z" } }, "outputs": [ @@ -572,8 +572,8 @@ "execution_count": 16, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:05.928806Z", - "start_time": "2022-10-29T17:25:05.920160Z" + "end_time": "2022-10-31T15:33:52.668569Z", + "start_time": "2022-10-31T15:33:52.662216Z" } }, "outputs": [ @@ -606,8 +606,8 @@ "execution_count": 17, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:05.938398Z", - "start_time": "2022-10-29T17:25:05.932549Z" + "end_time": "2022-10-31T15:33:52.677606Z", + "start_time": "2022-10-31T15:33:52.672719Z" } }, "outputs": [ @@ -647,8 +647,8 @@ "execution_count": 18, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:05.960798Z", - "start_time": "2022-10-29T17:25:05.941047Z" + "end_time": "2022-10-31T15:33:52.703549Z", + "start_time": "2022-10-31T15:33:52.680187Z" } }, "outputs": [], @@ -674,15 +674,15 @@ "execution_count": 19, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:06.040747Z", - "start_time": "2022-10-29T17:25:05.964503Z" + "end_time": "2022-10-31T15:33:52.777153Z", + "start_time": "2022-10-31T15:33:52.705867Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 19, @@ -707,8 +707,8 @@ "execution_count": 20, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:06.051326Z", - "start_time": "2022-10-29T17:25:06.045059Z" + "end_time": "2022-10-31T15:33:52.786972Z", + "start_time": "2022-10-31T15:33:52.782160Z" } }, "outputs": [ @@ -721,8 +721,7 @@ } ], "source": [ - "mclp_from_cm.get_percentage()\n", - "print(f\"{mclp_from_cm.percentage * 100.}% coverage is observed\")" + "print(f\"{mclp_from_cm.perc_cov}% coverage is observed\")" ] }, { @@ -737,8 +736,8 @@ "execution_count": 21, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:06.083340Z", - "start_time": "2022-10-29T17:25:06.057394Z" + "end_time": "2022-10-31T15:33:52.809906Z", + "start_time": "2022-10-31T15:33:52.790355Z" } }, "outputs": [ @@ -866,8 +865,8 @@ "execution_count": 22, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:06.119503Z", - "start_time": "2022-10-29T17:25:06.086838Z" + "end_time": "2022-10-31T15:33:52.842910Z", + "start_time": "2022-10-31T15:33:52.813077Z" } }, "outputs": [], @@ -892,8 +891,8 @@ "execution_count": 23, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:06.172566Z", - "start_time": "2022-10-29T17:25:06.122820Z" + "end_time": "2022-10-31T15:33:52.900823Z", + "start_time": "2022-10-31T15:33:52.845969Z" } }, "outputs": [ @@ -907,8 +906,7 @@ ], "source": [ "mclp_from_gdf = mclp_from_gdf.solve(solver)\n", - "mclp_from_gdf.get_percentage()\n", - "print(f\"{mclp_from_gdf.percentage * 100.}% coverage is observed\")" + "print(f\"{mclp_from_gdf.perc_cov}% coverage is observed\")" ] }, { @@ -923,8 +921,8 @@ "execution_count": 24, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:06.191702Z", - "start_time": "2022-10-29T17:25:06.175839Z" + "end_time": "2022-10-31T15:33:52.925913Z", + "start_time": "2022-10-31T15:33:52.904987Z" } }, "outputs": [ @@ -1050,8 +1048,8 @@ "execution_count": 25, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:06.214782Z", - "start_time": "2022-10-29T17:25:06.193372Z" + "end_time": "2022-10-31T15:33:52.956496Z", + "start_time": "2022-10-31T15:33:52.929284Z" } }, "outputs": [], @@ -1075,8 +1073,8 @@ "execution_count": 26, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:06.278876Z", - "start_time": "2022-10-29T17:25:06.217154Z" + "end_time": "2022-10-31T15:33:53.011255Z", + "start_time": "2022-10-31T15:33:52.959232Z" } }, "outputs": [ @@ -1090,8 +1088,7 @@ ], "source": [ "mclp_from_gdf_pre = mclp_from_gdf_pre.solve(solver)\n", - "mclp_from_gdf_pre.get_percentage()\n", - "print(f\"{mclp_from_gdf_pre.percentage * 100.}% coverage is observed\")" + "print(f\"{mclp_from_gdf_pre.perc_cov}% coverage is observed\")" ] }, { @@ -1108,8 +1105,8 @@ "execution_count": 27, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:06.292331Z", - "start_time": "2022-10-29T17:25:06.284295Z" + "end_time": "2022-10-31T15:33:53.021787Z", + "start_time": "2022-10-31T15:33:53.015421Z" } }, "outputs": [ @@ -1167,8 +1164,8 @@ "execution_count": 28, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:06.317215Z", - "start_time": "2022-10-29T17:25:06.302540Z" + "end_time": "2022-10-31T15:33:53.038876Z", + "start_time": "2022-10-31T15:33:53.024822Z" } }, "outputs": [], @@ -1272,8 +1269,8 @@ "execution_count": 29, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:07.246834Z", - "start_time": "2022-10-29T17:25:06.319607Z" + "end_time": "2022-10-31T15:33:54.095771Z", + "start_time": "2022-10-31T15:33:53.041695Z" } }, "outputs": [ @@ -1309,8 +1306,8 @@ "execution_count": 30, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:08.061979Z", - "start_time": "2022-10-29T17:25:07.249241Z" + "end_time": "2022-10-31T15:33:55.101537Z", + "start_time": "2022-10-31T15:33:54.098399Z" } }, "outputs": [ @@ -1350,8 +1347,8 @@ "execution_count": 31, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:08.823762Z", - "start_time": "2022-10-29T17:25:08.064893Z" + "end_time": "2022-10-31T15:33:56.156817Z", + "start_time": "2022-10-31T15:33:55.103905Z" } }, "outputs": [ @@ -1391,8 +1388,8 @@ "execution_count": 32, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:25:10.965796Z", - "start_time": "2022-10-29T17:25:08.826062Z" + "end_time": "2022-10-31T15:33:59.353948Z", + "start_time": "2022-10-31T15:33:56.159190Z" }, "scrolled": true }, diff --git a/notebooks/mclp_gis.ipynb b/notebooks/mclp_gis.ipynb index fd452834..31624465 100644 --- a/notebooks/mclp_gis.ipynb +++ b/notebooks/mclp_gis.ipynb @@ -28,8 +28,8 @@ "id": "b56e0345", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:53:03.536371Z", - "start_time": "2022-10-29T23:53:03.497879Z" + "end_time": "2022-10-31T13:24:18.546860Z", + "start_time": "2022-10-31T13:24:18.508412Z" } }, "outputs": [ @@ -37,7 +37,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Last updated: 2022-10-29T19:53:03.524946-04:00\n", + "Last updated: 2022-10-31T09:24:18.535513-04:00\n", "\n", "Python implementation: CPython\n", "Python version : 3.10.6\n", @@ -66,8 +66,8 @@ "id": "0565cc82", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:53:05.324139Z", - "start_time": "2022-10-29T23:53:03.539392Z" + "end_time": "2022-10-31T13:24:20.353712Z", + "start_time": "2022-10-31T13:24:18.550103Z" } }, "outputs": [ @@ -77,13 +77,13 @@ "text": [ "Watermark: 2.3.1\n", "\n", + "geopandas: 0.11.1\n", "json : 2.0.9\n", - "folium : 0.12.1.post1\n", - "routingpy: 1.1.0\n", - "spopt : 0.4.1+200.g336f235.dirty\n", "shapely : 1.8.5\n", - "geopandas: 0.11.1\n", "numpy : 1.23.3\n", + "routingpy: 1.1.0\n", + "spopt : 0.4.1+200.g336f235.dirty\n", + "folium : 0.12.1.post1\n", "pulp : 2.6.0\n", "\n" ] @@ -122,8 +122,8 @@ "id": "f07586c6", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:53:05.345449Z", - "start_time": "2022-10-29T23:53:05.328918Z" + "end_time": "2022-10-31T13:24:20.375919Z", + "start_time": "2022-10-31T13:24:20.358546Z" } }, "outputs": [ @@ -233,8 +233,8 @@ "id": "9f6b3238", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:53:05.354719Z", - "start_time": "2022-10-29T23:53:05.348410Z" + "end_time": "2022-10-31T13:24:20.385087Z", + "start_time": "2022-10-31T13:24:20.378896Z" } }, "outputs": [ @@ -244,7 +244,7 @@ "" ], "text/plain": [ - "" + "" ] }, "execution_count": 4, @@ -263,8 +263,8 @@ "id": "6dae6ff8", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:53:05.371818Z", - "start_time": "2022-10-29T23:53:05.357079Z" + "end_time": "2022-10-31T13:24:20.398827Z", + "start_time": "2022-10-31T13:24:20.386913Z" } }, "outputs": [ @@ -330,8 +330,8 @@ "id": "ff17dc8e", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:53:05.407252Z", - "start_time": "2022-10-29T23:53:05.374682Z" + "end_time": "2022-10-31T13:24:20.438230Z", + "start_time": "2022-10-31T13:24:20.402354Z" } }, "outputs": [ @@ -373,8 +373,8 @@ "id": "9cce5603", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:53:05.599445Z", - "start_time": "2022-10-29T23:53:05.409923Z" + "end_time": "2022-10-31T13:24:20.628155Z", + "start_time": "2022-10-31T13:24:20.440197Z" }, "scrolled": true }, @@ -407,7 +407,7 @@ " <meta name="viewport" content="width=device-width,\n", " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", " <style>\n", - " #map_078fe1f28c1dfced6cae424d24908b23 {\n", + " #map_e5aa3b96114c9a9495cee09af10a3bc5 {\n", " position: relative;\n", " width: 100.0%;\n", " height: 100.0%;\n", @@ -419,13 +419,13 @@ "</head>\n", "<body> \n", " \n", - " <div class="folium-map" id="map_078fe1f28c1dfced6cae424d24908b23" ></div>\n", + " <div class="folium-map" id="map_e5aa3b96114c9a9495cee09af10a3bc5" ></div>\n", " \n", "</body>\n", "<script> \n", " \n", - " var map_078fe1f28c1dfced6cae424d24908b23 = L.map(\n", - " "map_078fe1f28c1dfced6cae424d24908b23",\n", + " var map_e5aa3b96114c9a9495cee09af10a3bc5 = L.map(\n", + " "map_e5aa3b96114c9a9495cee09af10a3bc5",\n", " {\n", " center: [37.748273, -122.410558],\n", " crs: L.CRS.EPSG3857,\n", @@ -439,3838 +439,3838 @@ "\n", " \n", " \n", - " var tile_layer_084da3d2f831ad43d59e0c9becd7135d = L.tileLayer(\n", + " var tile_layer_d89f84fb45e7a557f8aa6b8ea731b1f9 = L.tileLayer(\n", " "https://cartodb-basemaps-{s}.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png",\n", " {"attribution": "\\u0026copy; \\u003ca href=\\"http://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors \\u0026copy; \\u003ca href=\\"http://cartodb.com/attributions\\"\\u003eCartoDB\\u003c/a\\u003e, CartoDB \\u003ca href =\\"http://cartodb.com/attributions\\"\\u003eattributions\\u003c/a\\u003e", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n", - " ).addTo(map_078fe1f28c1dfced6cae424d24908b23);\n", + " ).addTo(map_e5aa3b96114c9a9495cee09af10a3bc5);\n", " \n", " \n", - " function geo_json_d720ea642bf60f5df1b931aa12839266_styler(feature) {\n", + " function geo_json_8ec1c0573930baf88e472fa28ee3369f_styler(feature) {\n", " switch(feature.id) {\n", " default:\n", " return {"color": "darksalmon", "fillColor": "darksalmon"};\n", " }\n", " }\n", "\n", - " function geo_json_d720ea642bf60f5df1b931aa12839266_onEachFeature(feature, layer) {\n", + " function geo_json_8ec1c0573930baf88e472fa28ee3369f_onEachFeature(feature, layer) {\n", " layer.on({\n", " });\n", " };\n", - " var geo_json_d720ea642bf60f5df1b931aa12839266 = L.geoJson(null, {\n", - " onEachFeature: geo_json_d720ea642bf60f5df1b931aa12839266_onEachFeature,\n", + " var geo_json_8ec1c0573930baf88e472fa28ee3369f = L.geoJson(null, {\n", + " onEachFeature: geo_json_8ec1c0573930baf88e472fa28ee3369f_onEachFeature,\n", " \n", - " style: geo_json_d720ea642bf60f5df1b931aa12839266_styler,\n", + " style: geo_json_8ec1c0573930baf88e472fa28ee3369f_styler,\n", " });\n", "\n", - 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" ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6a2d8269355b54a43572b5642f9a6f43 = L.popup({"maxWidth": "100%"});\n", + " var popup_c4a2965d526a685c3e40192601e8b723 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_db93003ec5a3fdd14e04e3ee4ee2dad2 = $(`<div id="html_db93003ec5a3fdd14e04e3ee4ee2dad2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6a2d8269355b54a43572b5642f9a6f43.setContent(html_db93003ec5a3fdd14e04e3ee4ee2dad2);\n", + " var html_675e1283f6df2aa2a24bcdff8d83a9dd = $(`<div id="html_675e1283f6df2aa2a24bcdff8d83a9dd" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_c4a2965d526a685c3e40192601e8b723.setContent(html_675e1283f6df2aa2a24bcdff8d83a9dd);\n", " \n", "\n", - " circle_marker_bc8ab357209e9141d24423c3e0bad220.bindPopup(popup_6a2d8269355b54a43572b5642f9a6f43)\n", + " circle_marker_ba817851e41a93cda4eaf4173d278d3e.bindPopup(popup_c4a2965d526a685c3e40192601e8b723)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_cff4302f4780cc1ccc80368327ef2ef1 = L.circleMarker(\n", + " var circle_marker_b1d88158a6bdc8dfb7ecd0426dfe05b4 = L.circleMarker(\n", " [37.76324983366825, -122.41406105319669],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_79ed3b1cc97dbab2469b9ccfff5e0bf9 = L.popup({"maxWidth": "100%"});\n", + " var popup_8e1128c31a433b4a6299360402b59d8b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0bcd79393c825266a367383ee065ab6b = $(`<div id="html_0bcd79393c825266a367383ee065ab6b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_79ed3b1cc97dbab2469b9ccfff5e0bf9.setContent(html_0bcd79393c825266a367383ee065ab6b);\n", + " var html_ad3c466ae8f3266d9e3797dee58f5e96 = $(`<div id="html_ad3c466ae8f3266d9e3797dee58f5e96" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_8e1128c31a433b4a6299360402b59d8b.setContent(html_ad3c466ae8f3266d9e3797dee58f5e96);\n", " \n", "\n", - " circle_marker_cff4302f4780cc1ccc80368327ef2ef1.bindPopup(popup_79ed3b1cc97dbab2469b9ccfff5e0bf9)\n", + " circle_marker_b1d88158a6bdc8dfb7ecd0426dfe05b4.bindPopup(popup_8e1128c31a433b4a6299360402b59d8b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1ae5710e9d581fa156886776df2ae7d0 = L.circleMarker(\n", + " var circle_marker_86d7d0fe55131c2aed8565c147472587 = L.circleMarker(\n", " [37.76134617605315, -122.40869142607274],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_d1387e469f0566da6e768319ee0a2bb4 = L.popup({"maxWidth": "100%"});\n", + " var popup_661d5808c52ad30af908b34bb31f94a0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_39ae3ca82984cadea81490f7609b46a4 = $(`<div id="html_39ae3ca82984cadea81490f7609b46a4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_d1387e469f0566da6e768319ee0a2bb4.setContent(html_39ae3ca82984cadea81490f7609b46a4);\n", + " var html_c8694c6dac130dd9d817a068b91d7c4e = $(`<div id="html_c8694c6dac130dd9d817a068b91d7c4e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_661d5808c52ad30af908b34bb31f94a0.setContent(html_c8694c6dac130dd9d817a068b91d7c4e);\n", " \n", "\n", - " circle_marker_1ae5710e9d581fa156886776df2ae7d0.bindPopup(popup_d1387e469f0566da6e768319ee0a2bb4)\n", + " circle_marker_86d7d0fe55131c2aed8565c147472587.bindPopup(popup_661d5808c52ad30af908b34bb31f94a0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_db7c4bbde884afcc6b4dba3381dfb02e = L.circleMarker(\n", + " var circle_marker_57f678964fd4efb13947cc3289e0011f = L.circleMarker(\n", " [37.75828156322945, -122.41678443341827],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6872a205105280bf5bb304258c4774ac = L.popup({"maxWidth": "100%"});\n", + " var popup_08198feb6da9a702d0e01599a2ca9201 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_02bbcf8f25c214a9c037d2dde05908a4 = $(`<div id="html_02bbcf8f25c214a9c037d2dde05908a4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6872a205105280bf5bb304258c4774ac.setContent(html_02bbcf8f25c214a9c037d2dde05908a4);\n", + " var html_4557c2fd82a1a1bd69cc8bcb408cf0a9 = $(`<div id="html_4557c2fd82a1a1bd69cc8bcb408cf0a9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_08198feb6da9a702d0e01599a2ca9201.setContent(html_4557c2fd82a1a1bd69cc8bcb408cf0a9);\n", " \n", "\n", - " circle_marker_db7c4bbde884afcc6b4dba3381dfb02e.bindPopup(popup_6872a205105280bf5bb304258c4774ac)\n", + " circle_marker_57f678964fd4efb13947cc3289e0011f.bindPopup(popup_08198feb6da9a702d0e01599a2ca9201)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0812f0da4533ca41da52670e3bc386f1 = L.circleMarker(\n", + " var circle_marker_4740b93e2f8fd112083acc2048dc0f50 = L.circleMarker(\n", " [37.76390302107111, -122.42491446338698],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_8273071d4adf8dccc7ae27ed1ddf3793 = L.popup({"maxWidth": "100%"});\n", + " var popup_968bbbce25be9e94c88d81cc54bfd8a9 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_7eb815cdd84c22473e6192428c9a6500 = $(`<div id="html_7eb815cdd84c22473e6192428c9a6500" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_8273071d4adf8dccc7ae27ed1ddf3793.setContent(html_7eb815cdd84c22473e6192428c9a6500);\n", + " var html_48fc35179e1a43208f615e3bce37a9fb = $(`<div id="html_48fc35179e1a43208f615e3bce37a9fb" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_968bbbce25be9e94c88d81cc54bfd8a9.setContent(html_48fc35179e1a43208f615e3bce37a9fb);\n", " \n", "\n", - " circle_marker_0812f0da4533ca41da52670e3bc386f1.bindPopup(popup_8273071d4adf8dccc7ae27ed1ddf3793)\n", + " circle_marker_4740b93e2f8fd112083acc2048dc0f50.bindPopup(popup_968bbbce25be9e94c88d81cc54bfd8a9)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_48df8fdd17f6f624e7f0e16634c19068 = L.circleMarker(\n", + " var circle_marker_f5419da322efbf899c269a5b3ad63dda = L.circleMarker(\n", " [37.74575134212079, -122.41524164428937],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_92f252e10aca80ab0a8ea5cce64330fa = L.popup({"maxWidth": "100%"});\n", + " var popup_693cdd2a3ee2a054452e7ba99bbe6c35 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a0dbd08b96b98a66d50c5e161372c884 = $(`<div id="html_a0dbd08b96b98a66d50c5e161372c884" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_92f252e10aca80ab0a8ea5cce64330fa.setContent(html_a0dbd08b96b98a66d50c5e161372c884);\n", + " var html_d22d6000c3e3fb4a2abb1084991a682b = $(`<div id="html_d22d6000c3e3fb4a2abb1084991a682b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_693cdd2a3ee2a054452e7ba99bbe6c35.setContent(html_d22d6000c3e3fb4a2abb1084991a682b);\n", " \n", "\n", - " circle_marker_48df8fdd17f6f624e7f0e16634c19068.bindPopup(popup_92f252e10aca80ab0a8ea5cce64330fa)\n", + " circle_marker_f5419da322efbf899c269a5b3ad63dda.bindPopup(popup_693cdd2a3ee2a054452e7ba99bbe6c35)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b8ea989bcf42bbbcdb5ad798ce48ebe5 = L.circleMarker(\n", + " var circle_marker_b74a5577b05e441e357db127f407965c = L.circleMarker(\n", " [37.75806595539574, -122.42181701677706],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_335a796f2c8208ae60da4043bc1c0324 = L.popup({"maxWidth": "100%"});\n", + " var popup_044a5d82d66981058db548b54518d506 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_11cdf4687c88eaece29a4b7d4b8c35ec = $(`<div id="html_11cdf4687c88eaece29a4b7d4b8c35ec" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_335a796f2c8208ae60da4043bc1c0324.setContent(html_11cdf4687c88eaece29a4b7d4b8c35ec);\n", + " var html_4dc990b4756ce7260e9401a28ddd1c58 = $(`<div id="html_4dc990b4756ce7260e9401a28ddd1c58" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_044a5d82d66981058db548b54518d506.setContent(html_4dc990b4756ce7260e9401a28ddd1c58);\n", " \n", "\n", - " circle_marker_b8ea989bcf42bbbcdb5ad798ce48ebe5.bindPopup(popup_335a796f2c8208ae60da4043bc1c0324)\n", + " circle_marker_b74a5577b05e441e357db127f407965c.bindPopup(popup_044a5d82d66981058db548b54518d506)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e212cf951f7bfa4171cee186a3f0b9da = L.circleMarker(\n", + " var circle_marker_f80f6e9257d4d0a1bb86bea93d78d789 = L.circleMarker(\n", " [37.75101772588085, -122.41692062210988],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_7b845cd74aeb85e69fd442316669092d = L.popup({"maxWidth": "100%"});\n", + " var popup_421b284952392865eb38529b38ad905f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_74bd641db4db285511a2c7b4e7da22cd = $(`<div id="html_74bd641db4db285511a2c7b4e7da22cd" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_7b845cd74aeb85e69fd442316669092d.setContent(html_74bd641db4db285511a2c7b4e7da22cd);\n", + " var html_2024cd99fd406060aeaf7e2ccc19c598 = $(`<div id="html_2024cd99fd406060aeaf7e2ccc19c598" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_421b284952392865eb38529b38ad905f.setContent(html_2024cd99fd406060aeaf7e2ccc19c598);\n", " \n", "\n", - " circle_marker_e212cf951f7bfa4171cee186a3f0b9da.bindPopup(popup_7b845cd74aeb85e69fd442316669092d)\n", + " circle_marker_f80f6e9257d4d0a1bb86bea93d78d789.bindPopup(popup_421b284952392865eb38529b38ad905f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_557079183963d9506462a78f44f3c520 = L.circleMarker(\n", + " var circle_marker_87e160ff46b4cfcdf310dcc368c7af03 = L.circleMarker(\n", " [37.75267875552496, -122.4129352817101],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f33610a60a2f83131212cc6e5610c7d3 = L.popup({"maxWidth": "100%"});\n", + " var popup_71cfa587cd92395fc6694ae98f86cf06 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ff13204e5ff582b7801cd1f319b0f301 = $(`<div id="html_ff13204e5ff582b7801cd1f319b0f301" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f33610a60a2f83131212cc6e5610c7d3.setContent(html_ff13204e5ff582b7801cd1f319b0f301);\n", + " var html_19cd4643e14f7fb20aa1714618dd8055 = $(`<div id="html_19cd4643e14f7fb20aa1714618dd8055" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_71cfa587cd92395fc6694ae98f86cf06.setContent(html_19cd4643e14f7fb20aa1714618dd8055);\n", " \n", "\n", - " circle_marker_557079183963d9506462a78f44f3c520.bindPopup(popup_f33610a60a2f83131212cc6e5610c7d3)\n", + " circle_marker_87e160ff46b4cfcdf310dcc368c7af03.bindPopup(popup_71cfa587cd92395fc6694ae98f86cf06)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0bff0c5ad5a8f3ecc4bb166740aa5f52 = L.circleMarker(\n", + " var circle_marker_b31b54c9fc8d565defc705ad7f250cd8 = L.circleMarker(\n", " [37.75490098160369, -122.40445957410549],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_654e8895301c5da7a04252c92d9e5e45 = L.popup({"maxWidth": "100%"});\n", + " var popup_1da77085ea9993431826fff49cf51315 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_83d892be48bf4693ae87c31968e85892 = $(`<div id="html_83d892be48bf4693ae87c31968e85892" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_654e8895301c5da7a04252c92d9e5e45.setContent(html_83d892be48bf4693ae87c31968e85892);\n", + " var html_196e123861a6df6ba93eae47889d764a = $(`<div id="html_196e123861a6df6ba93eae47889d764a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1da77085ea9993431826fff49cf51315.setContent(html_196e123861a6df6ba93eae47889d764a);\n", " \n", "\n", - " circle_marker_0bff0c5ad5a8f3ecc4bb166740aa5f52.bindPopup(popup_654e8895301c5da7a04252c92d9e5e45)\n", + " circle_marker_b31b54c9fc8d565defc705ad7f250cd8.bindPopup(popup_1da77085ea9993431826fff49cf51315)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ed0e48e9f5fcfc8e1c9b93f476d11cb8 = L.circleMarker(\n", + " var circle_marker_65bd616a2815f1b3ca17efe8f7913a4a = L.circleMarker(\n", " [37.746517470353716, -122.41939041609294],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_877571cec4928135e7044f4da4379f1b = L.popup({"maxWidth": "100%"});\n", + " var popup_b8c17b2c65682551e2e25c036aec003b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_5bba310ca3562cc95f1c9b94cf9f05a6 = $(`<div id="html_5bba310ca3562cc95f1c9b94cf9f05a6" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_877571cec4928135e7044f4da4379f1b.setContent(html_5bba310ca3562cc95f1c9b94cf9f05a6);\n", + " var html_a894e5e53ccb239e8e5458c2d7b1a378 = $(`<div id="html_a894e5e53ccb239e8e5458c2d7b1a378" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b8c17b2c65682551e2e25c036aec003b.setContent(html_a894e5e53ccb239e8e5458c2d7b1a378);\n", " \n", "\n", - " circle_marker_ed0e48e9f5fcfc8e1c9b93f476d11cb8.bindPopup(popup_877571cec4928135e7044f4da4379f1b)\n", + " circle_marker_65bd616a2815f1b3ca17efe8f7913a4a.bindPopup(popup_b8c17b2c65682551e2e25c036aec003b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_29e71fe67867cdfc66bf4717b08272da = L.circleMarker(\n", + " var circle_marker_4a8c8dd0ad6a8aa82c176b31f83ca69d = L.circleMarker(\n", " [37.75451800575868, -122.41153810982007],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_2bc3ffcd0f6ace4e00fc1a8a2d2bf747 = L.popup({"maxWidth": "100%"});\n", + " var popup_8f4b4861e1ae9a7816811ab7f90a4a96 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_edec26c947228aa189ee30cc16c04d6f = $(`<div id="html_edec26c947228aa189ee30cc16c04d6f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_2bc3ffcd0f6ace4e00fc1a8a2d2bf747.setContent(html_edec26c947228aa189ee30cc16c04d6f);\n", + " var html_ae2cff158f2f0f1917caa203ec5a8503 = $(`<div id="html_ae2cff158f2f0f1917caa203ec5a8503" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_8f4b4861e1ae9a7816811ab7f90a4a96.setContent(html_ae2cff158f2f0f1917caa203ec5a8503);\n", " \n", "\n", - " circle_marker_29e71fe67867cdfc66bf4717b08272da.bindPopup(popup_2bc3ffcd0f6ace4e00fc1a8a2d2bf747)\n", + " circle_marker_4a8c8dd0ad6a8aa82c176b31f83ca69d.bindPopup(popup_8f4b4861e1ae9a7816811ab7f90a4a96)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c7ce2a13dca2c6c440207fe1dac8df2f = L.circleMarker(\n", + " var circle_marker_5e67b7246ace62d0c09d5d9e3d074b72 = L.circleMarker(\n", " [37.735965467842085, -122.4232014632692],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_3182ea3c63dbf00ec3abad82c504f9ca = L.popup({"maxWidth": "100%"});\n", + " var popup_2444a1deea9c227ea4062275daa65643 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_8cd91790f0dea4699a39303dec0c16fa = $(`<div id="html_8cd91790f0dea4699a39303dec0c16fa" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_3182ea3c63dbf00ec3abad82c504f9ca.setContent(html_8cd91790f0dea4699a39303dec0c16fa);\n", + " var html_eeed52c3d7aa1dafdfa995206cfde765 = $(`<div id="html_eeed52c3d7aa1dafdfa995206cfde765" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_2444a1deea9c227ea4062275daa65643.setContent(html_eeed52c3d7aa1dafdfa995206cfde765);\n", " \n", "\n", - " circle_marker_c7ce2a13dca2c6c440207fe1dac8df2f.bindPopup(popup_3182ea3c63dbf00ec3abad82c504f9ca)\n", + " circle_marker_5e67b7246ace62d0c09d5d9e3d074b72.bindPopup(popup_2444a1deea9c227ea4062275daa65643)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_44f4484b9123bf14ab63e5525436c136 = L.circleMarker(\n", + " var circle_marker_3846c6b0c92289a707b20749253b15fb = L.circleMarker(\n", " [37.74400636648324, -122.42051691306378],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f0edbed02cf06124930e24b7229a6e49 = L.popup({"maxWidth": "100%"});\n", + " var popup_74c0504ad4cbd19130c2888e2f15f70e = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a3ec78d840c91b81ed1a0a6bedc30d94 = $(`<div id="html_a3ec78d840c91b81ed1a0a6bedc30d94" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f0edbed02cf06124930e24b7229a6e49.setContent(html_a3ec78d840c91b81ed1a0a6bedc30d94);\n", + " var html_d7192ccd840a8ff06635bf40c5dee82b = $(`<div id="html_d7192ccd840a8ff06635bf40c5dee82b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_74c0504ad4cbd19130c2888e2f15f70e.setContent(html_d7192ccd840a8ff06635bf40c5dee82b);\n", " \n", "\n", - " circle_marker_44f4484b9123bf14ab63e5525436c136.bindPopup(popup_f0edbed02cf06124930e24b7229a6e49)\n", + " circle_marker_3846c6b0c92289a707b20749253b15fb.bindPopup(popup_74c0504ad4cbd19130c2888e2f15f70e)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_982b6efc75da052f9a60de41bb4dbf9e = L.circleMarker(\n", + " var circle_marker_3115c0d72280dbbc4d6a707365aa799d = L.circleMarker(\n", " [37.74657122463306, -122.4140060513352],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_fd1f28fcefacde0363e1bfcbc7e7bd23 = L.popup({"maxWidth": "100%"});\n", + " var popup_d9e7569eba4864f6e7f83c6a5462baa0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_28ffe10e3855f88ebee01addbc82345d = $(`<div id="html_28ffe10e3855f88ebee01addbc82345d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_fd1f28fcefacde0363e1bfcbc7e7bd23.setContent(html_28ffe10e3855f88ebee01addbc82345d);\n", + " var html_1d8f47108a5f3b6b7f2a50cd1305dc1f = $(`<div id="html_1d8f47108a5f3b6b7f2a50cd1305dc1f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_d9e7569eba4864f6e7f83c6a5462baa0.setContent(html_1d8f47108a5f3b6b7f2a50cd1305dc1f);\n", " \n", "\n", - " circle_marker_982b6efc75da052f9a60de41bb4dbf9e.bindPopup(popup_fd1f28fcefacde0363e1bfcbc7e7bd23)\n", + " circle_marker_3115c0d72280dbbc4d6a707365aa799d.bindPopup(popup_d9e7569eba4864f6e7f83c6a5462baa0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_5ae7946c073eb880fc95637d5fe989df = L.circleMarker(\n", + " var circle_marker_b53b4ec3e7689a2560afd1b3e923ebbc = L.circleMarker(\n", " [37.737074528368524, -122.42323994562125],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_dea829faf3d3174b5d420c23916779d3 = L.popup({"maxWidth": "100%"});\n", + " var popup_5c37bfc1a58719969ae79edfdab9d6d4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_5c28ac9bf24486e5a44d847c870cd746 = $(`<div id="html_5c28ac9bf24486e5a44d847c870cd746" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_dea829faf3d3174b5d420c23916779d3.setContent(html_5c28ac9bf24486e5a44d847c870cd746);\n", + " var html_f4d3e4abd2d582c58f8ce16dc85ee52f = $(`<div id="html_f4d3e4abd2d582c58f8ce16dc85ee52f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_5c37bfc1a58719969ae79edfdab9d6d4.setContent(html_f4d3e4abd2d582c58f8ce16dc85ee52f);\n", " \n", "\n", - " circle_marker_5ae7946c073eb880fc95637d5fe989df.bindPopup(popup_dea829faf3d3174b5d420c23916779d3)\n", + " circle_marker_b53b4ec3e7689a2560afd1b3e923ebbc.bindPopup(popup_5c37bfc1a58719969ae79edfdab9d6d4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_5eff34d633251133f272559715ec3230 = L.circleMarker(\n", + " var circle_marker_787746669de7cd9dc561e9bc3ccc7cb5 = L.circleMarker(\n", " [37.74022473080378, -122.41188716363442],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c453d794d8aba15979970758a430e6c4 = L.popup({"maxWidth": "100%"});\n", + " var popup_fd07c89d733307532bc026400f7e392e = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2592d4be5a1667aa097b61330bbd8097 = $(`<div id="html_2592d4be5a1667aa097b61330bbd8097" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c453d794d8aba15979970758a430e6c4.setContent(html_2592d4be5a1667aa097b61330bbd8097);\n", + " var html_e22ad5821cf0eecd1af63728dccdb740 = $(`<div id="html_e22ad5821cf0eecd1af63728dccdb740" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_fd07c89d733307532bc026400f7e392e.setContent(html_e22ad5821cf0eecd1af63728dccdb740);\n", " \n", "\n", - " circle_marker_5eff34d633251133f272559715ec3230.bindPopup(popup_c453d794d8aba15979970758a430e6c4)\n", + " circle_marker_787746669de7cd9dc561e9bc3ccc7cb5.bindPopup(popup_fd07c89d733307532bc026400f7e392e)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ef17c56fa59087919d68f1f19377169f = L.circleMarker(\n", + " var circle_marker_27fba0780c2c42059d064f8a95a3f089 = L.circleMarker(\n", " [37.73992108767487, -122.4166609618889],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9e13424ec711ec65fda32225f68dfd83 = L.popup({"maxWidth": "100%"});\n", + " var popup_9f3ec02dd27fea0fe581b1f7c23e3aa2 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_7ab588e98775121a3e70512d61b4aac9 = $(`<div id="html_7ab588e98775121a3e70512d61b4aac9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9e13424ec711ec65fda32225f68dfd83.setContent(html_7ab588e98775121a3e70512d61b4aac9);\n", + " var html_ae77c1dd35d42660543a4a4c61a0966e = $(`<div id="html_ae77c1dd35d42660543a4a4c61a0966e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9f3ec02dd27fea0fe581b1f7c23e3aa2.setContent(html_ae77c1dd35d42660543a4a4c61a0966e);\n", " \n", "\n", - " circle_marker_ef17c56fa59087919d68f1f19377169f.bindPopup(popup_9e13424ec711ec65fda32225f68dfd83)\n", + " circle_marker_27fba0780c2c42059d064f8a95a3f089.bindPopup(popup_9f3ec02dd27fea0fe581b1f7c23e3aa2)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ab2d760c34e16c0265a24e60e6cf2792 = L.circleMarker(\n", + " var circle_marker_06a2415bd15bb5dc48f1a930b2e80ea7 = L.circleMarker(\n", " [37.735330127834594, -122.42451537332036],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_210e5ac9a5d40f7645e86b44e49c2718 = L.popup({"maxWidth": "100%"});\n", + " var popup_c1b8ddcc0cd63506fcb4134a255fcc25 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2d7111ad259c539804c4b89116c2f078 = $(`<div id="html_2d7111ad259c539804c4b89116c2f078" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_210e5ac9a5d40f7645e86b44e49c2718.setContent(html_2d7111ad259c539804c4b89116c2f078);\n", + " var html_40860676a2585e15723b6da7ca346348 = $(`<div id="html_40860676a2585e15723b6da7ca346348" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_c1b8ddcc0cd63506fcb4134a255fcc25.setContent(html_40860676a2585e15723b6da7ca346348);\n", " \n", "\n", - " circle_marker_ab2d760c34e16c0265a24e60e6cf2792.bindPopup(popup_210e5ac9a5d40f7645e86b44e49c2718)\n", + " circle_marker_06a2415bd15bb5dc48f1a930b2e80ea7.bindPopup(popup_c1b8ddcc0cd63506fcb4134a255fcc25)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_09b67c77e8b262f3345f2beb2a6af2fe = L.circleMarker(\n", + " var circle_marker_f948c4977bbc6bb3003f0c39adf06d38 = L.circleMarker(\n", " [37.73628248971779, -122.41180484101163],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_395d1118209898d7f23ccb4a18d2c169 = L.popup({"maxWidth": "100%"});\n", + " var popup_35f9a0a1c14fbf620ba4fc6298b7fb5a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_fbfc107424d188e909109ae5bd3abf63 = $(`<div id="html_fbfc107424d188e909109ae5bd3abf63" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_395d1118209898d7f23ccb4a18d2c169.setContent(html_fbfc107424d188e909109ae5bd3abf63);\n", + " var html_452184c2f16dfe738240576984c99ce5 = $(`<div id="html_452184c2f16dfe738240576984c99ce5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_35f9a0a1c14fbf620ba4fc6298b7fb5a.setContent(html_452184c2f16dfe738240576984c99ce5);\n", " \n", "\n", - " circle_marker_09b67c77e8b262f3345f2beb2a6af2fe.bindPopup(popup_395d1118209898d7f23ccb4a18d2c169)\n", + " circle_marker_f948c4977bbc6bb3003f0c39adf06d38.bindPopup(popup_35f9a0a1c14fbf620ba4fc6298b7fb5a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_df66f701ea642e2b66fed4951a20abf2 = L.circleMarker(\n", + " var circle_marker_0678d0795d62fd790773351de410d8c8 = L.circleMarker(\n", " [37.74417809964479, -122.42355414116491],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_dd0c47e4b25190d6983c60692a816534 = L.popup({"maxWidth": "100%"});\n", + " var popup_602a8ccc3bb05b2593566ab46455206e = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_44feb6a2d28d3f364d952731454e72d4 = $(`<div id="html_44feb6a2d28d3f364d952731454e72d4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_dd0c47e4b25190d6983c60692a816534.setContent(html_44feb6a2d28d3f364d952731454e72d4);\n", + " var html_2f60b7e7610a88cb73b1e5a93f8fe008 = $(`<div id="html_2f60b7e7610a88cb73b1e5a93f8fe008" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_602a8ccc3bb05b2593566ab46455206e.setContent(html_2f60b7e7610a88cb73b1e5a93f8fe008);\n", " \n", "\n", - " circle_marker_df66f701ea642e2b66fed4951a20abf2.bindPopup(popup_dd0c47e4b25190d6983c60692a816534)\n", + " circle_marker_0678d0795d62fd790773351de410d8c8.bindPopup(popup_602a8ccc3bb05b2593566ab46455206e)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_fc57a862c692f4f732dac3110548a7ac = L.circleMarker(\n", + " var circle_marker_0664550c611dd627e548616e0430e48b = L.circleMarker(\n", " [37.75226474936023, -122.40361589363022],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9b7e47354f9e6a2af85715565f1fe3d2 = L.popup({"maxWidth": "100%"});\n", + " var popup_b05c9ce1b2239e6adfa67df44115daa4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_817101da95a32a79212e9ada0b009113 = $(`<div id="html_817101da95a32a79212e9ada0b009113" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9b7e47354f9e6a2af85715565f1fe3d2.setContent(html_817101da95a32a79212e9ada0b009113);\n", + " var html_5ec67c1a1e8cd9cebc94945c2241442b = $(`<div id="html_5ec67c1a1e8cd9cebc94945c2241442b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b05c9ce1b2239e6adfa67df44115daa4.setContent(html_5ec67c1a1e8cd9cebc94945c2241442b);\n", " \n", "\n", - " circle_marker_fc57a862c692f4f732dac3110548a7ac.bindPopup(popup_9b7e47354f9e6a2af85715565f1fe3d2)\n", + " circle_marker_0664550c611dd627e548616e0430e48b.bindPopup(popup_b05c9ce1b2239e6adfa67df44115daa4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bb3ceec46a4c24b532876c1008eaf979 = L.circleMarker(\n", + " var circle_marker_b4705d3d922af08a30c516cfd6a51e81 = L.circleMarker(\n", " [37.735666491828425, -122.4213505852644],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_e571c58273b97bb5c16248c4d9e36919 = L.popup({"maxWidth": "100%"});\n", + " var popup_44ad036a83c3df734ebd2198a798c5e3 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_7ae704a7a0b18cf46fd014cf6cff4c17 = $(`<div id="html_7ae704a7a0b18cf46fd014cf6cff4c17" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_e571c58273b97bb5c16248c4d9e36919.setContent(html_7ae704a7a0b18cf46fd014cf6cff4c17);\n", + " var html_b0c6265c91064a843d2f014d5886298b = $(`<div id="html_b0c6265c91064a843d2f014d5886298b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_44ad036a83c3df734ebd2198a798c5e3.setContent(html_b0c6265c91064a843d2f014d5886298b);\n", " \n", "\n", - " circle_marker_bb3ceec46a4c24b532876c1008eaf979.bindPopup(popup_e571c58273b97bb5c16248c4d9e36919)\n", + " circle_marker_b4705d3d922af08a30c516cfd6a51e81.bindPopup(popup_44ad036a83c3df734ebd2198a798c5e3)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f1debc6b54bb2a4a287fa2218d9daf3f = L.circleMarker(\n", + " var circle_marker_9a584e6a74bd8bc45e6d8555d9fd45be = L.circleMarker(\n", " [37.73561618691874, -122.42100984111212],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_e038c137a45d42f94634b0ad328337a6 = L.popup({"maxWidth": "100%"});\n", + " var popup_74fc7cea9aba74840e2791c1cdcc898b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_549b5a3442a7318772349f44d5fb91eb = $(`<div id="html_549b5a3442a7318772349f44d5fb91eb" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_e038c137a45d42f94634b0ad328337a6.setContent(html_549b5a3442a7318772349f44d5fb91eb);\n", + " var html_9c4e00fee252d7b17ae512bf670da632 = $(`<div id="html_9c4e00fee252d7b17ae512bf670da632" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_74fc7cea9aba74840e2791c1cdcc898b.setContent(html_9c4e00fee252d7b17ae512bf670da632);\n", " \n", "\n", - " circle_marker_f1debc6b54bb2a4a287fa2218d9daf3f.bindPopup(popup_e038c137a45d42f94634b0ad328337a6)\n", + " circle_marker_9a584e6a74bd8bc45e6d8555d9fd45be.bindPopup(popup_74fc7cea9aba74840e2791c1cdcc898b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_cb41340fdeea7f8d7f9ad8552f6a0c82 = L.circleMarker(\n", + " var circle_marker_0a5802562091b5158ffc8f649644b21d = L.circleMarker(\n", " [37.74573767903614, -122.42045162186741],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_ec94b9bfe188855840f15cd8624503cb = L.popup({"maxWidth": "100%"});\n", + " var popup_383e09ea96126371b083abcfcb1bbc1f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e8cf4d0ce55d6b06b395a421b7d74940 = $(`<div id="html_e8cf4d0ce55d6b06b395a421b7d74940" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_ec94b9bfe188855840f15cd8624503cb.setContent(html_e8cf4d0ce55d6b06b395a421b7d74940);\n", + " var html_cff59e3b02b41aae63bc6cdc18b7a766 = $(`<div id="html_cff59e3b02b41aae63bc6cdc18b7a766" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_383e09ea96126371b083abcfcb1bbc1f.setContent(html_cff59e3b02b41aae63bc6cdc18b7a766);\n", " \n", "\n", - " circle_marker_cb41340fdeea7f8d7f9ad8552f6a0c82.bindPopup(popup_ec94b9bfe188855840f15cd8624503cb)\n", + " circle_marker_0a5802562091b5158ffc8f649644b21d.bindPopup(popup_383e09ea96126371b083abcfcb1bbc1f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_565d2ce924d1ba03a7f7645261151a84 = L.circleMarker(\n", + " var circle_marker_0897fd6ebf52d0d87b5c41e66b54af2d = L.circleMarker(\n", " [37.74063905928569, -122.4140979332363],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_352fba3f3cb3ae1ac87501ae5816004a = L.popup({"maxWidth": "100%"});\n", + " var popup_1338e3d6594b0147fcfda17ae6ccc13a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d9dea9217bab57b56c54199525b6b116 = $(`<div id="html_d9dea9217bab57b56c54199525b6b116" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_352fba3f3cb3ae1ac87501ae5816004a.setContent(html_d9dea9217bab57b56c54199525b6b116);\n", + " var html_01209ddcd8dd1b2d1d9635df9a593925 = $(`<div id="html_01209ddcd8dd1b2d1d9635df9a593925" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1338e3d6594b0147fcfda17ae6ccc13a.setContent(html_01209ddcd8dd1b2d1d9635df9a593925);\n", " \n", "\n", - " circle_marker_565d2ce924d1ba03a7f7645261151a84.bindPopup(popup_352fba3f3cb3ae1ac87501ae5816004a)\n", + " circle_marker_0897fd6ebf52d0d87b5c41e66b54af2d.bindPopup(popup_1338e3d6594b0147fcfda17ae6ccc13a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d03cab040a2bb35d4eb82a4909bb1889 = L.circleMarker(\n", + " var circle_marker_32c3d0e6b9cb42a15508faf287c8a443 = L.circleMarker(\n", " [37.73476727461245, -122.41520587274562],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6a2c8a79cc314f3b5973c54b1f973f65 = L.popup({"maxWidth": "100%"});\n", + " var popup_b97c44fbb37a1480a865a30816594ab0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f1b337048d29f0c412887d8447626239 = $(`<div id="html_f1b337048d29f0c412887d8447626239" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6a2c8a79cc314f3b5973c54b1f973f65.setContent(html_f1b337048d29f0c412887d8447626239);\n", + " var html_28e3edc4f1b353eaeef49ee4f151000b = $(`<div id="html_28e3edc4f1b353eaeef49ee4f151000b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b97c44fbb37a1480a865a30816594ab0.setContent(html_28e3edc4f1b353eaeef49ee4f151000b);\n", " \n", "\n", - " circle_marker_d03cab040a2bb35d4eb82a4909bb1889.bindPopup(popup_6a2c8a79cc314f3b5973c54b1f973f65)\n", + " circle_marker_32c3d0e6b9cb42a15508faf287c8a443.bindPopup(popup_b97c44fbb37a1480a865a30816594ab0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_840a917b215f07862f98b9c834291a09 = L.circleMarker(\n", + " var circle_marker_a23625123015e5d0c95023257411f648 = L.circleMarker(\n", " [37.76337653617459, -122.41385911135957],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c03fabba25090305c57b3037d0a22275 = L.popup({"maxWidth": "100%"});\n", + " var popup_68ac99dbcafe7f6444a32bb4b98f1e3d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_27352823e87677d774e30e92788366c7 = $(`<div id="html_27352823e87677d774e30e92788366c7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c03fabba25090305c57b3037d0a22275.setContent(html_27352823e87677d774e30e92788366c7);\n", + " var html_86a0c0577f8088da3a9ece7cb2597b2c = $(`<div id="html_86a0c0577f8088da3a9ece7cb2597b2c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_68ac99dbcafe7f6444a32bb4b98f1e3d.setContent(html_86a0c0577f8088da3a9ece7cb2597b2c);\n", " \n", "\n", - " circle_marker_840a917b215f07862f98b9c834291a09.bindPopup(popup_c03fabba25090305c57b3037d0a22275)\n", + " circle_marker_a23625123015e5d0c95023257411f648.bindPopup(popup_68ac99dbcafe7f6444a32bb4b98f1e3d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_49d86ed20bfef843f9c62e31f14e1071 = L.circleMarker(\n", + " var circle_marker_6f3a29c16abda9fd280440228a715a35 = L.circleMarker(\n", " [37.754407470692996, -122.42043665185116],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_601557fa31597fd44311dc007a1f115a = L.popup({"maxWidth": "100%"});\n", + " var popup_5b0b8556d92ced1aca99d57981b2ec13 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_9a5510f8c4ce53e685d5be57dd4b42ca = $(`<div id="html_9a5510f8c4ce53e685d5be57dd4b42ca" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_601557fa31597fd44311dc007a1f115a.setContent(html_9a5510f8c4ce53e685d5be57dd4b42ca);\n", + " var html_bb267070e49a5c2da381e79c953af477 = $(`<div id="html_bb267070e49a5c2da381e79c953af477" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_5b0b8556d92ced1aca99d57981b2ec13.setContent(html_bb267070e49a5c2da381e79c953af477);\n", " \n", "\n", - " circle_marker_49d86ed20bfef843f9c62e31f14e1071.bindPopup(popup_601557fa31597fd44311dc007a1f115a)\n", + " circle_marker_6f3a29c16abda9fd280440228a715a35.bindPopup(popup_5b0b8556d92ced1aca99d57981b2ec13)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c06732ce127aa57edc48de7c5d2e950f = L.circleMarker(\n", + " var circle_marker_c62baec9beaa165ac889f191fb49448a = L.circleMarker(\n", " [37.75608277408665, -122.4252097738284],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_0c8970e9db3e8e65e58e57e4243a3990 = L.popup({"maxWidth": "100%"});\n", + " var popup_78f31e1b52ce9345e182116a96027d46 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0642c2e1dc7933cffdcaca135a81f289 = $(`<div id="html_0642c2e1dc7933cffdcaca135a81f289" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_0c8970e9db3e8e65e58e57e4243a3990.setContent(html_0642c2e1dc7933cffdcaca135a81f289);\n", + " var html_9087da4b913ec65516d023f0be0a547b = $(`<div id="html_9087da4b913ec65516d023f0be0a547b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_78f31e1b52ce9345e182116a96027d46.setContent(html_9087da4b913ec65516d023f0be0a547b);\n", " \n", "\n", - " circle_marker_c06732ce127aa57edc48de7c5d2e950f.bindPopup(popup_0c8970e9db3e8e65e58e57e4243a3990)\n", + " circle_marker_c62baec9beaa165ac889f191fb49448a.bindPopup(popup_78f31e1b52ce9345e182116a96027d46)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bf89f1e458424f8eed6b8d0892177b62 = L.circleMarker(\n", + " var circle_marker_92d58e16b2bee68cb08dc7d163438873 = L.circleMarker(\n", " [37.73782393776602, -122.42118193788865],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f0ec042a25e150ed51cee8c37738ae50 = L.popup({"maxWidth": "100%"});\n", + " var popup_477c20bfe2c9d988e218abe91e96df07 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_fcee165b21c35562b7e26fd92423d25e = $(`<div id="html_fcee165b21c35562b7e26fd92423d25e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f0ec042a25e150ed51cee8c37738ae50.setContent(html_fcee165b21c35562b7e26fd92423d25e);\n", + " var html_5ba38c4bcd2e8c114ff270215e306ad8 = $(`<div id="html_5ba38c4bcd2e8c114ff270215e306ad8" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_477c20bfe2c9d988e218abe91e96df07.setContent(html_5ba38c4bcd2e8c114ff270215e306ad8);\n", " \n", "\n", - " circle_marker_bf89f1e458424f8eed6b8d0892177b62.bindPopup(popup_f0ec042a25e150ed51cee8c37738ae50)\n", + " circle_marker_92d58e16b2bee68cb08dc7d163438873.bindPopup(popup_477c20bfe2c9d988e218abe91e96df07)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_203a49a045621fcb71a91abd83652a37 = L.circleMarker(\n", + " var circle_marker_6d2758fce3fdfaa3539699aecd67f36a = L.circleMarker(\n", " [37.740797233065884, -122.41125572058564],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_a13bedf8d91503596376e9ca46bc7fb2 = L.popup({"maxWidth": "100%"});\n", + " var popup_6a6e1e794be999707866d210e946b5e6 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d6a5b5ce466e4d8f11bc0d451f2583c2 = $(`<div id="html_d6a5b5ce466e4d8f11bc0d451f2583c2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_a13bedf8d91503596376e9ca46bc7fb2.setContent(html_d6a5b5ce466e4d8f11bc0d451f2583c2);\n", + " var html_a263a23202e7bcb620e8e4ed863704e1 = $(`<div id="html_a263a23202e7bcb620e8e4ed863704e1" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_6a6e1e794be999707866d210e946b5e6.setContent(html_a263a23202e7bcb620e8e4ed863704e1);\n", " \n", "\n", - " circle_marker_203a49a045621fcb71a91abd83652a37.bindPopup(popup_a13bedf8d91503596376e9ca46bc7fb2)\n", + " circle_marker_6d2758fce3fdfaa3539699aecd67f36a.bindPopup(popup_6a6e1e794be999707866d210e946b5e6)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2b024e593d1e8a2e81407fdf5a8463d6 = L.circleMarker(\n", + " var circle_marker_f5456f6d71befd904c6e523f05f5603e = L.circleMarker(\n", " [37.76450303329318, -122.40978938157065],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f46a16adcdc19fd2fddd8de02cbd59d2 = L.popup({"maxWidth": "100%"});\n", + " var popup_0b105b771b9255a513eaf2f1deaeeded = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e5d9681dd6ddf228c62dc87560b67e19 = $(`<div id="html_e5d9681dd6ddf228c62dc87560b67e19" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f46a16adcdc19fd2fddd8de02cbd59d2.setContent(html_e5d9681dd6ddf228c62dc87560b67e19);\n", + " var html_d6d12b960a93bcf6af4e9a80ab891557 = $(`<div id="html_d6d12b960a93bcf6af4e9a80ab891557" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_0b105b771b9255a513eaf2f1deaeeded.setContent(html_d6d12b960a93bcf6af4e9a80ab891557);\n", " \n", "\n", - " circle_marker_2b024e593d1e8a2e81407fdf5a8463d6.bindPopup(popup_f46a16adcdc19fd2fddd8de02cbd59d2)\n", + " circle_marker_f5456f6d71befd904c6e523f05f5603e.bindPopup(popup_0b105b771b9255a513eaf2f1deaeeded)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_28b0db3f3f1a539af0a99cf8ba6fefd6 = L.circleMarker(\n", + " var circle_marker_387766c8439d9095c436189a1d39cb11 = L.circleMarker(\n", " [37.75128223638914, -122.42222086466421],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_440d96e291e4a019e419afc0feb16b0e = L.popup({"maxWidth": "100%"});\n", + " var popup_53cfa6af8c2a9f3014b4f65a498f8349 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f860d08df83e2bf67fbb4cf43f281de9 = $(`<div id="html_f860d08df83e2bf67fbb4cf43f281de9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_440d96e291e4a019e419afc0feb16b0e.setContent(html_f860d08df83e2bf67fbb4cf43f281de9);\n", + " var html_469ef7182b240a4443a0afa816352281 = $(`<div id="html_469ef7182b240a4443a0afa816352281" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_53cfa6af8c2a9f3014b4f65a498f8349.setContent(html_469ef7182b240a4443a0afa816352281);\n", " \n", "\n", - " circle_marker_28b0db3f3f1a539af0a99cf8ba6fefd6.bindPopup(popup_440d96e291e4a019e419afc0feb16b0e)\n", + " circle_marker_387766c8439d9095c436189a1d39cb11.bindPopup(popup_53cfa6af8c2a9f3014b4f65a498f8349)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a07337ae05caeb17f7de6e3f186b18d6 = L.circleMarker(\n", + " var circle_marker_7d952e2bfd9896dccda7601d67745f58 = L.circleMarker(\n", " [37.751148483269525, -122.41344777640442],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_5209bf1bc7c3df20c65f01dd9237fffc = L.popup({"maxWidth": "100%"});\n", + " var popup_b6811c1a90c3b84078fab1a91a55da5b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_8104caa25cc7fa529f1a76fb666589c1 = $(`<div id="html_8104caa25cc7fa529f1a76fb666589c1" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_5209bf1bc7c3df20c65f01dd9237fffc.setContent(html_8104caa25cc7fa529f1a76fb666589c1);\n", + " var html_a82f4fa9a936cdf7a9b46d261680312c = $(`<div id="html_a82f4fa9a936cdf7a9b46d261680312c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b6811c1a90c3b84078fab1a91a55da5b.setContent(html_a82f4fa9a936cdf7a9b46d261680312c);\n", " \n", "\n", - " circle_marker_a07337ae05caeb17f7de6e3f186b18d6.bindPopup(popup_5209bf1bc7c3df20c65f01dd9237fffc)\n", + " circle_marker_7d952e2bfd9896dccda7601d67745f58.bindPopup(popup_b6811c1a90c3b84078fab1a91a55da5b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2ae4f2887d6914f32933034c6c8d1e70 = L.circleMarker(\n", + " var circle_marker_92b4bf9f9aa11040cfd1dd6552fd8c97 = L.circleMarker(\n", " [37.76417974814643, -122.42287692579625],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_81b6a332b024b1bedbe7d1b741eda567 = L.popup({"maxWidth": "100%"});\n", + " var popup_495b7c059260f811739f6d97a727ca44 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e6c2a8a8ad51c4df2c607ecf78891db0 = $(`<div id="html_e6c2a8a8ad51c4df2c607ecf78891db0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_81b6a332b024b1bedbe7d1b741eda567.setContent(html_e6c2a8a8ad51c4df2c607ecf78891db0);\n", + " var html_46b05c7bb8b5adebb7315cf09c88ff49 = $(`<div id="html_46b05c7bb8b5adebb7315cf09c88ff49" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_495b7c059260f811739f6d97a727ca44.setContent(html_46b05c7bb8b5adebb7315cf09c88ff49);\n", " \n", "\n", - " circle_marker_2ae4f2887d6914f32933034c6c8d1e70.bindPopup(popup_81b6a332b024b1bedbe7d1b741eda567)\n", + " circle_marker_92b4bf9f9aa11040cfd1dd6552fd8c97.bindPopup(popup_495b7c059260f811739f6d97a727ca44)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_438c02625b671127a81761162d6e1150 = L.circleMarker(\n", + " var circle_marker_f159c7e0771b3eb4d1fef0bcace2d67a = L.circleMarker(\n", " [37.760537804214785, -122.41715126382405],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_1fc45f139b829ada3c06d51e52f9855e = L.popup({"maxWidth": "100%"});\n", + " var popup_40fe6bffa6c895e3075e8aaf88e2831d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_38fc0c2aaff4744f285d2a76a328473e = $(`<div id="html_38fc0c2aaff4744f285d2a76a328473e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_1fc45f139b829ada3c06d51e52f9855e.setContent(html_38fc0c2aaff4744f285d2a76a328473e);\n", + " var html_3786488628a17141f4a909849c41214b = $(`<div id="html_3786488628a17141f4a909849c41214b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_40fe6bffa6c895e3075e8aaf88e2831d.setContent(html_3786488628a17141f4a909849c41214b);\n", " \n", "\n", - " circle_marker_438c02625b671127a81761162d6e1150.bindPopup(popup_1fc45f139b829ada3c06d51e52f9855e)\n", + " circle_marker_f159c7e0771b3eb4d1fef0bcace2d67a.bindPopup(popup_40fe6bffa6c895e3075e8aaf88e2831d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_17718b021a60bfe3e24ac573c25ff056 = L.circleMarker(\n", + " var circle_marker_d5ca1a9643a3e0d9ee0850cf88c25568 = L.circleMarker(\n", " [37.74173662069288, -122.41070210763999],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_66cb5ed1342af046d5ffd0d39fadc813 = L.popup({"maxWidth": "100%"});\n", + " var popup_73af7a51ea2bb95f1aa258a915cba903 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d76364df63e91619ac8d0470c8f529fc = $(`<div id="html_d76364df63e91619ac8d0470c8f529fc" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_66cb5ed1342af046d5ffd0d39fadc813.setContent(html_d76364df63e91619ac8d0470c8f529fc);\n", + " var html_3a0161e4bbb99f478cf47462f9b43b7a = $(`<div id="html_3a0161e4bbb99f478cf47462f9b43b7a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_73af7a51ea2bb95f1aa258a915cba903.setContent(html_3a0161e4bbb99f478cf47462f9b43b7a);\n", " \n", "\n", - " circle_marker_17718b021a60bfe3e24ac573c25ff056.bindPopup(popup_66cb5ed1342af046d5ffd0d39fadc813)\n", + " circle_marker_d5ca1a9643a3e0d9ee0850cf88c25568.bindPopup(popup_73af7a51ea2bb95f1aa258a915cba903)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_437d51b57a3b15c5f977831ca31dbe42 = L.circleMarker(\n", + " var circle_marker_cda03729408e83232b9191bce0f758b1 = L.circleMarker(\n", " [37.74512952861252, -122.40778058291968],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_e1c1330e7e5a12938ceda0e5580b757f = L.popup({"maxWidth": "100%"});\n", + " var popup_4004246227f984897ef6ca44904b1051 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a2ad8332cf5b97e63ea17f334b1a2f0c = $(`<div id="html_a2ad8332cf5b97e63ea17f334b1a2f0c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_e1c1330e7e5a12938ceda0e5580b757f.setContent(html_a2ad8332cf5b97e63ea17f334b1a2f0c);\n", + " var html_f60e5b7c0785fe35d00c1065ba56feab = $(`<div id="html_f60e5b7c0785fe35d00c1065ba56feab" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_4004246227f984897ef6ca44904b1051.setContent(html_f60e5b7c0785fe35d00c1065ba56feab);\n", " \n", "\n", - " circle_marker_437d51b57a3b15c5f977831ca31dbe42.bindPopup(popup_e1c1330e7e5a12938ceda0e5580b757f)\n", + " circle_marker_cda03729408e83232b9191bce0f758b1.bindPopup(popup_4004246227f984897ef6ca44904b1051)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b0fa86654a00209dc586d947cba1968b = L.circleMarker(\n", + " var circle_marker_42dd92e323a3320ece9d2f43fd36faf9 = L.circleMarker(\n", " [37.75145743334203, -122.40606052669463],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_8d87d26ee1141b254ff8335277d240f3 = L.popup({"maxWidth": "100%"});\n", + " var popup_b7b6f0d75070d94495008887bfe3a72a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_fd7ef898945a05e51b426bff3a438f69 = $(`<div id="html_fd7ef898945a05e51b426bff3a438f69" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_8d87d26ee1141b254ff8335277d240f3.setContent(html_fd7ef898945a05e51b426bff3a438f69);\n", + " var html_8faa5fd73b41f13d4ed048947caac76b = $(`<div id="html_8faa5fd73b41f13d4ed048947caac76b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b7b6f0d75070d94495008887bfe3a72a.setContent(html_8faa5fd73b41f13d4ed048947caac76b);\n", " \n", "\n", - " circle_marker_b0fa86654a00209dc586d947cba1968b.bindPopup(popup_8d87d26ee1141b254ff8335277d240f3)\n", + " circle_marker_42dd92e323a3320ece9d2f43fd36faf9.bindPopup(popup_b7b6f0d75070d94495008887bfe3a72a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_5227efaed5e08cc0c716bf960a1114d9 = L.circleMarker(\n", + " var circle_marker_e6c5b5e9796a8385976e4a422cc280bb = L.circleMarker(\n", " [37.75526782189698, -122.40604437109245],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_cd4963f0ce01be4bec7f22d58b811bc5 = L.popup({"maxWidth": "100%"});\n", + " var popup_a188aa57e9e4ba2e31202e44533a54f4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a2eca4b49004e132ca21e31caa02476f = $(`<div id="html_a2eca4b49004e132ca21e31caa02476f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_cd4963f0ce01be4bec7f22d58b811bc5.setContent(html_a2eca4b49004e132ca21e31caa02476f);\n", + " var html_d7d7d5a1fc33c7679435eace35194c45 = $(`<div id="html_d7d7d5a1fc33c7679435eace35194c45" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a188aa57e9e4ba2e31202e44533a54f4.setContent(html_d7d7d5a1fc33c7679435eace35194c45);\n", " \n", "\n", - " circle_marker_5227efaed5e08cc0c716bf960a1114d9.bindPopup(popup_cd4963f0ce01be4bec7f22d58b811bc5)\n", + " circle_marker_e6c5b5e9796a8385976e4a422cc280bb.bindPopup(popup_a188aa57e9e4ba2e31202e44533a54f4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4c926cde6563b3fb776a4ac3f74ae363 = L.circleMarker(\n", + " var circle_marker_050afe7d07013b8449a084a64cfad7e2 = L.circleMarker(\n", " [37.74871935743222, -122.41004340162493],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_30abf5d0e2e2ce3ac46c02c5f5b9b992 = L.popup({"maxWidth": "100%"});\n", + " var popup_1bceeacc5da51b3680e404faaa11b528 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f1cf97f1e4dcc05fedff5f7f2ff96be8 = $(`<div id="html_f1cf97f1e4dcc05fedff5f7f2ff96be8" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_30abf5d0e2e2ce3ac46c02c5f5b9b992.setContent(html_f1cf97f1e4dcc05fedff5f7f2ff96be8);\n", + " var html_eac3faa0ebd9fd9d5198200e3e9c61ca = $(`<div id="html_eac3faa0ebd9fd9d5198200e3e9c61ca" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1bceeacc5da51b3680e404faaa11b528.setContent(html_eac3faa0ebd9fd9d5198200e3e9c61ca);\n", " \n", "\n", - " circle_marker_4c926cde6563b3fb776a4ac3f74ae363.bindPopup(popup_30abf5d0e2e2ce3ac46c02c5f5b9b992)\n", + " circle_marker_050afe7d07013b8449a084a64cfad7e2.bindPopup(popup_1bceeacc5da51b3680e404faaa11b528)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_587f0a1933af2c86983cfb44d3d50e2a = L.circleMarker(\n", + " var circle_marker_edda6d2e52642e731c0ec87a559fe73c = L.circleMarker(\n", " [37.75360537634322, -122.40414432663103],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_fc301154939e98f7c266ffe9eb748396 = L.popup({"maxWidth": "100%"});\n", + " var popup_b1553d235e64c8fe1427719ba3e9dcba = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_5be034904dfae4f3bd9c9f3e014cbfd0 = $(`<div id="html_5be034904dfae4f3bd9c9f3e014cbfd0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_fc301154939e98f7c266ffe9eb748396.setContent(html_5be034904dfae4f3bd9c9f3e014cbfd0);\n", + " var html_52fcb43a7e22cf12f5745757b4e5f95a = $(`<div id="html_52fcb43a7e22cf12f5745757b4e5f95a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b1553d235e64c8fe1427719ba3e9dcba.setContent(html_52fcb43a7e22cf12f5745757b4e5f95a);\n", " \n", "\n", - " circle_marker_587f0a1933af2c86983cfb44d3d50e2a.bindPopup(popup_fc301154939e98f7c266ffe9eb748396)\n", + " circle_marker_edda6d2e52642e731c0ec87a559fe73c.bindPopup(popup_b1553d235e64c8fe1427719ba3e9dcba)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e49c91362e8032a8a1aa35ddce156f0a = L.circleMarker(\n", + " var circle_marker_70bc2994e89b619b8042dcfaf9e75cd7 = L.circleMarker(\n", " [37.75231775479745, -122.41774596037905],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c918e94a2805c44e9bcebfca8625a20f = L.popup({"maxWidth": "100%"});\n", + " var popup_ddd529ca9b68bc76d5736d14538d9b10 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_8bcd1a183f389027cee59ce967953174 = $(`<div id="html_8bcd1a183f389027cee59ce967953174" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c918e94a2805c44e9bcebfca8625a20f.setContent(html_8bcd1a183f389027cee59ce967953174);\n", + " var html_ec80466b7f4caee70976c8e3f3e9b2ae = $(`<div id="html_ec80466b7f4caee70976c8e3f3e9b2ae" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ddd529ca9b68bc76d5736d14538d9b10.setContent(html_ec80466b7f4caee70976c8e3f3e9b2ae);\n", " \n", "\n", - " circle_marker_e49c91362e8032a8a1aa35ddce156f0a.bindPopup(popup_c918e94a2805c44e9bcebfca8625a20f)\n", + " circle_marker_70bc2994e89b619b8042dcfaf9e75cd7.bindPopup(popup_ddd529ca9b68bc76d5736d14538d9b10)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_02a4da98a1c62d39716fab0ac93f2299 = L.circleMarker(\n", + " var circle_marker_c0e1c3f2e7c5c203405410b3ff56cc1a = L.circleMarker(\n", " [37.74148457789174, -122.41170660507584],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_84ba8c9bf596cac31bf2f6f1bb52edda = L.popup({"maxWidth": "100%"});\n", + " var popup_df8f25d8b4f4052057f58a4eafbd6b51 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ae0e546845eeae3abedbcaead4222f19 = $(`<div id="html_ae0e546845eeae3abedbcaead4222f19" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_84ba8c9bf596cac31bf2f6f1bb52edda.setContent(html_ae0e546845eeae3abedbcaead4222f19);\n", + " var html_342e4ee1832cce717d607f52621c5a29 = $(`<div id="html_342e4ee1832cce717d607f52621c5a29" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_df8f25d8b4f4052057f58a4eafbd6b51.setContent(html_342e4ee1832cce717d607f52621c5a29);\n", " \n", "\n", - " circle_marker_02a4da98a1c62d39716fab0ac93f2299.bindPopup(popup_84ba8c9bf596cac31bf2f6f1bb52edda)\n", + " circle_marker_c0e1c3f2e7c5c203405410b3ff56cc1a.bindPopup(popup_df8f25d8b4f4052057f58a4eafbd6b51)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_cb451374de0d1ce94280cdae4f591483 = L.circleMarker(\n", + " var circle_marker_eea66f033ff422c631213cf633462801 = L.circleMarker(\n", " [37.746234470469986, -122.41278399769651],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_7ca89e8f5228964ff928edf56bc05ade = L.popup({"maxWidth": "100%"});\n", + " var popup_d61dec63286c0b97504a570630738ff6 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2a1d068c4a9fd71f98728ee66e92acef = $(`<div id="html_2a1d068c4a9fd71f98728ee66e92acef" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_7ca89e8f5228964ff928edf56bc05ade.setContent(html_2a1d068c4a9fd71f98728ee66e92acef);\n", + " var html_3f70cf70594ec58a12c554f4654c141d = $(`<div id="html_3f70cf70594ec58a12c554f4654c141d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_d61dec63286c0b97504a570630738ff6.setContent(html_3f70cf70594ec58a12c554f4654c141d);\n", " \n", "\n", - " circle_marker_cb451374de0d1ce94280cdae4f591483.bindPopup(popup_7ca89e8f5228964ff928edf56bc05ade)\n", + " circle_marker_eea66f033ff422c631213cf633462801.bindPopup(popup_d61dec63286c0b97504a570630738ff6)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_da2e29d79b05725d8552437c64bcb72a = L.circleMarker(\n", + " var circle_marker_f50824579516ffef72a2a21e11852225 = L.circleMarker(\n", " [37.751786210327225, -122.41401197674212],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_ec53b64c2860195886dc4782a9d20894 = L.popup({"maxWidth": "100%"});\n", + " var popup_4f6abc7b5b74d52290a6c0a40abcd01b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_225bfd71d6043540bf0e884ca7051cb5 = $(`<div id="html_225bfd71d6043540bf0e884ca7051cb5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_ec53b64c2860195886dc4782a9d20894.setContent(html_225bfd71d6043540bf0e884ca7051cb5);\n", + " var html_7a924b778bf5e3f6897b8ed72956eb03 = $(`<div id="html_7a924b778bf5e3f6897b8ed72956eb03" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_4f6abc7b5b74d52290a6c0a40abcd01b.setContent(html_7a924b778bf5e3f6897b8ed72956eb03);\n", " \n", "\n", - " circle_marker_da2e29d79b05725d8552437c64bcb72a.bindPopup(popup_ec53b64c2860195886dc4782a9d20894)\n", + " circle_marker_f50824579516ffef72a2a21e11852225.bindPopup(popup_4f6abc7b5b74d52290a6c0a40abcd01b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7eb9ca23c61e63f86aa487a4e4399576 = L.circleMarker(\n", + " var circle_marker_d988a5cedb509d3a9e2a1adff6b92ce6 = L.circleMarker(\n", " [37.75392082167846, -122.4139005439404],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_44c1928dee6453379d485cc28b9d648f = L.popup({"maxWidth": "100%"});\n", + " var popup_a1663d42d7188a8af4a309b1e74da47d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_80b40bcefc47ddc08b79b3b50889ccf2 = $(`<div id="html_80b40bcefc47ddc08b79b3b50889ccf2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_44c1928dee6453379d485cc28b9d648f.setContent(html_80b40bcefc47ddc08b79b3b50889ccf2);\n", + " var html_8a505cea9ce881d3e6eb490e60950176 = $(`<div id="html_8a505cea9ce881d3e6eb490e60950176" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a1663d42d7188a8af4a309b1e74da47d.setContent(html_8a505cea9ce881d3e6eb490e60950176);\n", " \n", "\n", - " circle_marker_7eb9ca23c61e63f86aa487a4e4399576.bindPopup(popup_44c1928dee6453379d485cc28b9d648f)\n", + " circle_marker_d988a5cedb509d3a9e2a1adff6b92ce6.bindPopup(popup_a1663d42d7188a8af4a309b1e74da47d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_64a82c71232f9fd9b1e6b3b876a0b02b = L.circleMarker(\n", + " var circle_marker_a54021d84b7e83465e6782a3c2c1330c = L.circleMarker(\n", " [37.74632521857674, -122.41191284883185],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_39e98855e98c868523d4d73923e0b0b5 = L.popup({"maxWidth": "100%"});\n", + " var popup_055e37b848a69c9357ec95c09381eb14 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_afe9c064f99396109ac36eba612b27d0 = $(`<div id="html_afe9c064f99396109ac36eba612b27d0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_39e98855e98c868523d4d73923e0b0b5.setContent(html_afe9c064f99396109ac36eba612b27d0);\n", + " var html_e98e857c13d5b4f11d1a9555e575293b = $(`<div id="html_e98e857c13d5b4f11d1a9555e575293b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_055e37b848a69c9357ec95c09381eb14.setContent(html_e98e857c13d5b4f11d1a9555e575293b);\n", " \n", "\n", - " circle_marker_64a82c71232f9fd9b1e6b3b876a0b02b.bindPopup(popup_39e98855e98c868523d4d73923e0b0b5)\n", + " circle_marker_a54021d84b7e83465e6782a3c2c1330c.bindPopup(popup_055e37b848a69c9357ec95c09381eb14)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ca6b8953cc6a031a2d094f09d6e72207 = L.circleMarker(\n", + " var circle_marker_0a2cd02a2fa55acd83df7ee9b39ec413 = L.circleMarker(\n", " [37.744138258925396, -122.40566585519643],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_2dfc44b550f034419df78712fe575c05 = L.popup({"maxWidth": "100%"});\n", + " var popup_fafd4b756277239e3efc3adc2f278d0e = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ffba94fa63a711469f661e5401fe43d8 = $(`<div id="html_ffba94fa63a711469f661e5401fe43d8" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_2dfc44b550f034419df78712fe575c05.setContent(html_ffba94fa63a711469f661e5401fe43d8);\n", + " var html_9bd498e2b2a94f6d091fbea6e9965b3b = $(`<div id="html_9bd498e2b2a94f6d091fbea6e9965b3b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_fafd4b756277239e3efc3adc2f278d0e.setContent(html_9bd498e2b2a94f6d091fbea6e9965b3b);\n", " \n", "\n", - " circle_marker_ca6b8953cc6a031a2d094f09d6e72207.bindPopup(popup_2dfc44b550f034419df78712fe575c05)\n", + " circle_marker_0a2cd02a2fa55acd83df7ee9b39ec413.bindPopup(popup_fafd4b756277239e3efc3adc2f278d0e)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e1cac47086b5b24a47f139459141a76b = L.circleMarker(\n", + " var circle_marker_8f7c694b9e6a7d141a019cc95c172e4c = L.circleMarker(\n", " [37.76209659106257, -122.41743903596992],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_344382ff9587765869b2b801ce4ade0b = L.popup({"maxWidth": "100%"});\n", + " var popup_ff0a267d5186c3aae3dd57a49677e04d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2bb3a7bc21358a073934bbce271202d4 = $(`<div id="html_2bb3a7bc21358a073934bbce271202d4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_344382ff9587765869b2b801ce4ade0b.setContent(html_2bb3a7bc21358a073934bbce271202d4);\n", + " var html_2bde68acde13f35e6f2926a7bdcfd2c3 = $(`<div id="html_2bde68acde13f35e6f2926a7bdcfd2c3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ff0a267d5186c3aae3dd57a49677e04d.setContent(html_2bde68acde13f35e6f2926a7bdcfd2c3);\n", " \n", "\n", - " circle_marker_e1cac47086b5b24a47f139459141a76b.bindPopup(popup_344382ff9587765869b2b801ce4ade0b)\n", + " circle_marker_8f7c694b9e6a7d141a019cc95c172e4c.bindPopup(popup_ff0a267d5186c3aae3dd57a49677e04d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e499e1312d5c4941f4bbe64f43456b70 = L.circleMarker(\n", + " var circle_marker_b97bb0f84bb77670c9ac9d6324bf90f1 = L.circleMarker(\n", " [37.755656776209086, -122.40797490641594],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_11b5234bc806ad166c4a0d933f858988 = L.popup({"maxWidth": "100%"});\n", + " var popup_06b4b7f03d45758f4f028a56425fe8e2 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_7a60cee1110fc5f7cfaf063cf68c01a7 = $(`<div id="html_7a60cee1110fc5f7cfaf063cf68c01a7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_11b5234bc806ad166c4a0d933f858988.setContent(html_7a60cee1110fc5f7cfaf063cf68c01a7);\n", + " var html_a60c80b715fe71ff4a815c1f2aecd938 = $(`<div id="html_a60c80b715fe71ff4a815c1f2aecd938" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_06b4b7f03d45758f4f028a56425fe8e2.setContent(html_a60c80b715fe71ff4a815c1f2aecd938);\n", " \n", "\n", - " circle_marker_e499e1312d5c4941f4bbe64f43456b70.bindPopup(popup_11b5234bc806ad166c4a0d933f858988)\n", + " circle_marker_b97bb0f84bb77670c9ac9d6324bf90f1.bindPopup(popup_06b4b7f03d45758f4f028a56425fe8e2)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c54f079eedfb5b0354de8a3d321807a0 = L.circleMarker(\n", + " var circle_marker_5972e02e7d8346931ec2592a25467644 = L.circleMarker(\n", " [37.76304044055552, -122.42601660166785],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_e9a33f8d1b936b7b9237a4b9be4fe252 = L.popup({"maxWidth": "100%"});\n", + " var popup_1174b0256f7d189181afa93e059b1e0c = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_70baad87e128d532b2ff465de391eefe = $(`<div id="html_70baad87e128d532b2ff465de391eefe" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_e9a33f8d1b936b7b9237a4b9be4fe252.setContent(html_70baad87e128d532b2ff465de391eefe);\n", + " var html_331f819cd7a63824a9ac51989487f52d = $(`<div id="html_331f819cd7a63824a9ac51989487f52d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1174b0256f7d189181afa93e059b1e0c.setContent(html_331f819cd7a63824a9ac51989487f52d);\n", " \n", "\n", - " circle_marker_c54f079eedfb5b0354de8a3d321807a0.bindPopup(popup_e9a33f8d1b936b7b9237a4b9be4fe252)\n", + " circle_marker_5972e02e7d8346931ec2592a25467644.bindPopup(popup_1174b0256f7d189181afa93e059b1e0c)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7ce4f1ad2b0313507c8ead9b73bbb385 = L.circleMarker(\n", + " var circle_marker_79c9eb4945a4ad331551d96e576df59b = L.circleMarker(\n", " [37.76128158121274, -122.42475869912616],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_1e6cb573c30f10bbaa6d408be4f4a55c = L.popup({"maxWidth": "100%"});\n", + " var popup_bc489218d66d52b72f63c5f7137e5de4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_698dfe40ecfc05a110a15559dd39864a = $(`<div id="html_698dfe40ecfc05a110a15559dd39864a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_1e6cb573c30f10bbaa6d408be4f4a55c.setContent(html_698dfe40ecfc05a110a15559dd39864a);\n", + " var html_5fb288936978a46d1fcc3a51ad627075 = $(`<div id="html_5fb288936978a46d1fcc3a51ad627075" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_bc489218d66d52b72f63c5f7137e5de4.setContent(html_5fb288936978a46d1fcc3a51ad627075);\n", " \n", "\n", - " circle_marker_7ce4f1ad2b0313507c8ead9b73bbb385.bindPopup(popup_1e6cb573c30f10bbaa6d408be4f4a55c)\n", + " circle_marker_79c9eb4945a4ad331551d96e576df59b.bindPopup(popup_bc489218d66d52b72f63c5f7137e5de4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_497ba6defe9eb974ecd1cb06abb845c3 = L.circleMarker(\n", + " var circle_marker_2bfb06e7864259125db9b36369e09644 = L.circleMarker(\n", " [37.75263168395759, -122.42442533056142],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_a35f6ce219faef6254620cd4eeb56a4d = L.popup({"maxWidth": "100%"});\n", + " var popup_fad3d3a7ea4527a8de44c94c81d4924f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_621b9ed5c6d06c5db5f2faf1972332aa = $(`<div id="html_621b9ed5c6d06c5db5f2faf1972332aa" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_a35f6ce219faef6254620cd4eeb56a4d.setContent(html_621b9ed5c6d06c5db5f2faf1972332aa);\n", + " var html_c7ab850300c6d78f1db57582b3864c08 = $(`<div id="html_c7ab850300c6d78f1db57582b3864c08" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_fad3d3a7ea4527a8de44c94c81d4924f.setContent(html_c7ab850300c6d78f1db57582b3864c08);\n", " \n", "\n", - " circle_marker_497ba6defe9eb974ecd1cb06abb845c3.bindPopup(popup_a35f6ce219faef6254620cd4eeb56a4d)\n", + " circle_marker_2bfb06e7864259125db9b36369e09644.bindPopup(popup_fad3d3a7ea4527a8de44c94c81d4924f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0194c594e63ee3b36b428114b2db61b3 = L.circleMarker(\n", + " var circle_marker_6242e0ce7f75f8f131b6f3348b54b4e6 = L.circleMarker(\n", " [37.76059258583783, -122.4254136565183],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_7a2193bc5db1dc857c8963d5184a9feb = L.popup({"maxWidth": "100%"});\n", + " var popup_65b9af84226cb34f984f9d20e058caed = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_b1f5f7297948a2828c822c3ad718ffa0 = $(`<div id="html_b1f5f7297948a2828c822c3ad718ffa0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_7a2193bc5db1dc857c8963d5184a9feb.setContent(html_b1f5f7297948a2828c822c3ad718ffa0);\n", + " var html_8b4de873d73d7155f55447f763e49354 = $(`<div id="html_8b4de873d73d7155f55447f763e49354" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_65b9af84226cb34f984f9d20e058caed.setContent(html_8b4de873d73d7155f55447f763e49354);\n", " \n", "\n", - " circle_marker_0194c594e63ee3b36b428114b2db61b3.bindPopup(popup_7a2193bc5db1dc857c8963d5184a9feb)\n", + " circle_marker_6242e0ce7f75f8f131b6f3348b54b4e6.bindPopup(popup_65b9af84226cb34f984f9d20e058caed)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_431e38b53fe70f8b578a10a47b4f0cc1 = L.circleMarker(\n", + " var circle_marker_2632948a703a34e525678d9eb5d770ba = L.circleMarker(\n", " [37.75104056209607, -122.40794615669083],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4d334d1a122ae72320694b9eb26af06e = L.popup({"maxWidth": "100%"});\n", + " var popup_9c2e8cb99085b5fdc4b6b4640ad8f658 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_698148d1df74f05389e594297fe297b9 = $(`<div id="html_698148d1df74f05389e594297fe297b9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4d334d1a122ae72320694b9eb26af06e.setContent(html_698148d1df74f05389e594297fe297b9);\n", + " var html_7f246df4c3747b65a0d87423b904606d = $(`<div id="html_7f246df4c3747b65a0d87423b904606d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9c2e8cb99085b5fdc4b6b4640ad8f658.setContent(html_7f246df4c3747b65a0d87423b904606d);\n", " \n", "\n", - " circle_marker_431e38b53fe70f8b578a10a47b4f0cc1.bindPopup(popup_4d334d1a122ae72320694b9eb26af06e)\n", + " circle_marker_2632948a703a34e525678d9eb5d770ba.bindPopup(popup_9c2e8cb99085b5fdc4b6b4640ad8f658)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_af38d66bf8cd82f34f4f056506879feb = L.circleMarker(\n", + " var circle_marker_fce7f6fdd270de7443427175e5617a9f = L.circleMarker(\n", " [37.73391883126035, -122.4181720236561],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_0e11e5cf1fae0daa0934a56ee77d94b0 = L.popup({"maxWidth": "100%"});\n", + " var popup_b3ce944eb64cc93d81595f5bc9c9cea0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_1a2a093f29393c3be875179e65ae716a = $(`<div id="html_1a2a093f29393c3be875179e65ae716a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_0e11e5cf1fae0daa0934a56ee77d94b0.setContent(html_1a2a093f29393c3be875179e65ae716a);\n", + " var html_556006d4a7281c5a2743d72a886dfccf = $(`<div id="html_556006d4a7281c5a2743d72a886dfccf" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b3ce944eb64cc93d81595f5bc9c9cea0.setContent(html_556006d4a7281c5a2743d72a886dfccf);\n", " \n", "\n", - " circle_marker_af38d66bf8cd82f34f4f056506879feb.bindPopup(popup_0e11e5cf1fae0daa0934a56ee77d94b0)\n", + " circle_marker_fce7f6fdd270de7443427175e5617a9f.bindPopup(popup_b3ce944eb64cc93d81595f5bc9c9cea0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f2b66470696f7f14b56b21a50b892971 = L.circleMarker(\n", + " var circle_marker_9edb577c5df20bb8a8287c16595ca66e = L.circleMarker(\n", " [37.747082929796356, -122.41075451027352],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9212f9a7ee6a96a7c4968fae1dbd6a7d = L.popup({"maxWidth": "100%"});\n", + " var popup_0cded0a9561fcbd72cb6fa1ca64eedc9 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d625b7dd551df99dd23ba649f625396d = $(`<div id="html_d625b7dd551df99dd23ba649f625396d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9212f9a7ee6a96a7c4968fae1dbd6a7d.setContent(html_d625b7dd551df99dd23ba649f625396d);\n", + " var html_676c10b28b2ac7fc465c1840b4f07de1 = $(`<div id="html_676c10b28b2ac7fc465c1840b4f07de1" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_0cded0a9561fcbd72cb6fa1ca64eedc9.setContent(html_676c10b28b2ac7fc465c1840b4f07de1);\n", " \n", "\n", - " circle_marker_f2b66470696f7f14b56b21a50b892971.bindPopup(popup_9212f9a7ee6a96a7c4968fae1dbd6a7d)\n", + " circle_marker_9edb577c5df20bb8a8287c16595ca66e.bindPopup(popup_0cded0a9561fcbd72cb6fa1ca64eedc9)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7cf1334b4eda64622a22be7c3fac34b9 = L.circleMarker(\n", + " var circle_marker_f7826f2f61f0182d07e9b0c1f4746f92 = L.circleMarker(\n", " [37.7612218618984, -122.41012514709995],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_dc64f2f94843dba80d014fd194dcef1a = L.popup({"maxWidth": "100%"});\n", + " var popup_6f28539273b2fa07f125e3ea13a2ea4d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_7e7ca3a90087e67d13d5b7cc7135a004 = $(`<div id="html_7e7ca3a90087e67d13d5b7cc7135a004" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_dc64f2f94843dba80d014fd194dcef1a.setContent(html_7e7ca3a90087e67d13d5b7cc7135a004);\n", + " var html_969de175cd70bffe0c5f42b9db74429a = $(`<div id="html_969de175cd70bffe0c5f42b9db74429a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_6f28539273b2fa07f125e3ea13a2ea4d.setContent(html_969de175cd70bffe0c5f42b9db74429a);\n", " \n", "\n", - " circle_marker_7cf1334b4eda64622a22be7c3fac34b9.bindPopup(popup_dc64f2f94843dba80d014fd194dcef1a)\n", + " circle_marker_f7826f2f61f0182d07e9b0c1f4746f92.bindPopup(popup_6f28539273b2fa07f125e3ea13a2ea4d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_942f69f4d623f7e782e85841ec048944 = L.circleMarker(\n", + " var circle_marker_31c2edd53f69f7ce14f0b8c9e36cd24a = L.circleMarker(\n", " [37.73742797318685, -122.4099223611867],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_576b4f1a203b0bf680b9bccd5269bb5f = L.popup({"maxWidth": "100%"});\n", + " var popup_fdf670cb807b65ecb5ef74e3081f1611 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2a5540dd128a9ced964a76e333bfdcd4 = $(`<div id="html_2a5540dd128a9ced964a76e333bfdcd4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_576b4f1a203b0bf680b9bccd5269bb5f.setContent(html_2a5540dd128a9ced964a76e333bfdcd4);\n", + " var html_baa0d13731edf7ac587416af515bb454 = $(`<div id="html_baa0d13731edf7ac587416af515bb454" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_fdf670cb807b65ecb5ef74e3081f1611.setContent(html_baa0d13731edf7ac587416af515bb454);\n", " \n", "\n", - " circle_marker_942f69f4d623f7e782e85841ec048944.bindPopup(popup_576b4f1a203b0bf680b9bccd5269bb5f)\n", + " circle_marker_31c2edd53f69f7ce14f0b8c9e36cd24a.bindPopup(popup_fdf670cb807b65ecb5ef74e3081f1611)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d1874c278995b7bc943299eebbc59044 = L.circleMarker(\n", + " var circle_marker_812dbe343c491cba9b40f7eba243fe1c = L.circleMarker(\n", " [37.73341096742464, -122.41526238849185],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_d115573d35ec74fad645cd7f68ef065b = L.popup({"maxWidth": "100%"});\n", + " var popup_1cf5868f31bb83d7847e05c4b608db39 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_971d537c434a00fb208caa2de21bbece = $(`<div id="html_971d537c434a00fb208caa2de21bbece" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_d115573d35ec74fad645cd7f68ef065b.setContent(html_971d537c434a00fb208caa2de21bbece);\n", + " var html_0302224c87bb22b64b0a22a8b9e30eca = $(`<div id="html_0302224c87bb22b64b0a22a8b9e30eca" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1cf5868f31bb83d7847e05c4b608db39.setContent(html_0302224c87bb22b64b0a22a8b9e30eca);\n", " \n", "\n", - " circle_marker_d1874c278995b7bc943299eebbc59044.bindPopup(popup_d115573d35ec74fad645cd7f68ef065b)\n", + " circle_marker_812dbe343c491cba9b40f7eba243fe1c.bindPopup(popup_1cf5868f31bb83d7847e05c4b608db39)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_763061accd7d3e4715d3a91d9f1cc6a2 = L.circleMarker(\n", + " var circle_marker_147c1cd533f1c3016b1eb7b2c9783463 = L.circleMarker(\n", " [37.73218433441669, -122.42346688880976],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_34a442317fd1c7682debf4a09bf2980c = L.popup({"maxWidth": "100%"});\n", + " var popup_26bf4fd449d2ab3c6e7acb3b6324f33b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d10b12c0de41d68927fdea6cbe48ec34 = $(`<div id="html_d10b12c0de41d68927fdea6cbe48ec34" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_34a442317fd1c7682debf4a09bf2980c.setContent(html_d10b12c0de41d68927fdea6cbe48ec34);\n", + " var html_446eddaade78752cb61a4cee406f47b7 = $(`<div id="html_446eddaade78752cb61a4cee406f47b7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_26bf4fd449d2ab3c6e7acb3b6324f33b.setContent(html_446eddaade78752cb61a4cee406f47b7);\n", " \n", "\n", - " circle_marker_763061accd7d3e4715d3a91d9f1cc6a2.bindPopup(popup_34a442317fd1c7682debf4a09bf2980c)\n", + " circle_marker_147c1cd533f1c3016b1eb7b2c9783463.bindPopup(popup_26bf4fd449d2ab3c6e7acb3b6324f33b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_79ba91455c38154b615faa12152b22f8 = L.circleMarker(\n", + " var circle_marker_cc29a868bcf0ba8e7d456689ccc928b4 = L.circleMarker(\n", " [37.73921897271669, -122.408294261493],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_d9dc12c0b8a465ff2459e47a9ced0f46 = L.popup({"maxWidth": "100%"});\n", + " var popup_a062b291e399272d4760855d0697df40 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_be98f08fc743f08f0860a753efcde7f3 = $(`<div id="html_be98f08fc743f08f0860a753efcde7f3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_d9dc12c0b8a465ff2459e47a9ced0f46.setContent(html_be98f08fc743f08f0860a753efcde7f3);\n", + " var html_f3ab7d9a8b8160b91e68d2bb304902c5 = $(`<div id="html_f3ab7d9a8b8160b91e68d2bb304902c5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a062b291e399272d4760855d0697df40.setContent(html_f3ab7d9a8b8160b91e68d2bb304902c5);\n", " \n", "\n", - " circle_marker_79ba91455c38154b615faa12152b22f8.bindPopup(popup_d9dc12c0b8a465ff2459e47a9ced0f46)\n", + " circle_marker_cc29a868bcf0ba8e7d456689ccc928b4.bindPopup(popup_a062b291e399272d4760855d0697df40)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_6ef312545a37f0fb82bbb9a51b6f38b0 = L.circleMarker(\n", + " var circle_marker_aa01a8cde18f81593cccaeda7c2384aa = L.circleMarker(\n", " [37.763334928138605, -122.41975219244812],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_92458f313d067ce6d1d1ec1259da6ae8 = L.popup({"maxWidth": "100%"});\n", + " var popup_4333d92cc030cc4f2157a75da29fc1ef = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_8e10c513afe025637fd353e596e9cdf2 = $(`<div id="html_8e10c513afe025637fd353e596e9cdf2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_92458f313d067ce6d1d1ec1259da6ae8.setContent(html_8e10c513afe025637fd353e596e9cdf2);\n", + " var html_389b62c5682f85accc660090278b4f3b = $(`<div id="html_389b62c5682f85accc660090278b4f3b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_4333d92cc030cc4f2157a75da29fc1ef.setContent(html_389b62c5682f85accc660090278b4f3b);\n", " \n", "\n", - " circle_marker_6ef312545a37f0fb82bbb9a51b6f38b0.bindPopup(popup_92458f313d067ce6d1d1ec1259da6ae8)\n", + " circle_marker_aa01a8cde18f81593cccaeda7c2384aa.bindPopup(popup_4333d92cc030cc4f2157a75da29fc1ef)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_48489ee85639165a98c5772a5a9e2906 = L.circleMarker(\n", + " var circle_marker_b38823d9d36474dfe4ea732cca30d2a9 = L.circleMarker(\n", " [37.75283439229456, -122.42436907613654],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c7294a2b6567283d6f8d4df0d871f671 = L.popup({"maxWidth": "100%"});\n", + " var popup_7bc3e846df9b623bcbebdf88fb0adb1c = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_fb03bc48cfefb90a1935d5a472bfb1bc = $(`<div id="html_fb03bc48cfefb90a1935d5a472bfb1bc" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c7294a2b6567283d6f8d4df0d871f671.setContent(html_fb03bc48cfefb90a1935d5a472bfb1bc);\n", + " var html_ca701e12b46b76de01f7d6848ae76bab = $(`<div id="html_ca701e12b46b76de01f7d6848ae76bab" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_7bc3e846df9b623bcbebdf88fb0adb1c.setContent(html_ca701e12b46b76de01f7d6848ae76bab);\n", " \n", "\n", - " circle_marker_48489ee85639165a98c5772a5a9e2906.bindPopup(popup_c7294a2b6567283d6f8d4df0d871f671)\n", + " circle_marker_b38823d9d36474dfe4ea732cca30d2a9.bindPopup(popup_7bc3e846df9b623bcbebdf88fb0adb1c)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a30a203515c77d6ec3c3a248f046375f = L.circleMarker(\n", + " var circle_marker_5c798b64fc0be66319cf68d46291ef1d = L.circleMarker(\n", " [37.73969735334643, -122.41382634618964],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_61b35134a2e64ab909e14ffdde76ea02 = L.popup({"maxWidth": "100%"});\n", + " var popup_988917cdb9b4a577718ec0812bbd09f3 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f5ca4c360b6a42976dfe233408aeb177 = $(`<div id="html_f5ca4c360b6a42976dfe233408aeb177" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_61b35134a2e64ab909e14ffdde76ea02.setContent(html_f5ca4c360b6a42976dfe233408aeb177);\n", + " var html_0479811ebc9c50238ee92a0e37b709b7 = $(`<div id="html_0479811ebc9c50238ee92a0e37b709b7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_988917cdb9b4a577718ec0812bbd09f3.setContent(html_0479811ebc9c50238ee92a0e37b709b7);\n", " \n", "\n", - " circle_marker_a30a203515c77d6ec3c3a248f046375f.bindPopup(popup_61b35134a2e64ab909e14ffdde76ea02)\n", + " circle_marker_5c798b64fc0be66319cf68d46291ef1d.bindPopup(popup_988917cdb9b4a577718ec0812bbd09f3)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a9d5184c4adad23c0ab98e14e38d1443 = L.circleMarker(\n", + " var circle_marker_b9d55c1f9d5faebf542b8ea73cb81882 = L.circleMarker(\n", " [37.75257710605992, -122.40470322706904],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_47464bfec4cabf5ef0c909b6a281c352 = L.popup({"maxWidth": "100%"});\n", + " var popup_544f04a75a59e12311c41adbb0577fa0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_de14a9ae1e17c9ce138330a2b2b7e665 = $(`<div id="html_de14a9ae1e17c9ce138330a2b2b7e665" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_47464bfec4cabf5ef0c909b6a281c352.setContent(html_de14a9ae1e17c9ce138330a2b2b7e665);\n", + " var html_deb852fb3f9e25cbc0cd67038bcb6498 = $(`<div id="html_deb852fb3f9e25cbc0cd67038bcb6498" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_544f04a75a59e12311c41adbb0577fa0.setContent(html_deb852fb3f9e25cbc0cd67038bcb6498);\n", " \n", "\n", - " circle_marker_a9d5184c4adad23c0ab98e14e38d1443.bindPopup(popup_47464bfec4cabf5ef0c909b6a281c352)\n", + " circle_marker_b9d55c1f9d5faebf542b8ea73cb81882.bindPopup(popup_544f04a75a59e12311c41adbb0577fa0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_cf1d444b2af04bac688bb7ad024d7356 = L.circleMarker(\n", + " var circle_marker_126ef4ebfd5f909122c81d68cf882d06 = L.circleMarker(\n", " [37.75175323687019, -122.4148893680859],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f28a4fe5aaa1a6e0414a067557177740 = L.popup({"maxWidth": "100%"});\n", + " var popup_ea94e77886547e9817f58df02f2dc697 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_52cfe32d3dd6c32436e62e450ef0c1bb = $(`<div id="html_52cfe32d3dd6c32436e62e450ef0c1bb" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f28a4fe5aaa1a6e0414a067557177740.setContent(html_52cfe32d3dd6c32436e62e450ef0c1bb);\n", + " var html_7a0cc33bf20f9fad2e973d66a79fee39 = $(`<div id="html_7a0cc33bf20f9fad2e973d66a79fee39" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ea94e77886547e9817f58df02f2dc697.setContent(html_7a0cc33bf20f9fad2e973d66a79fee39);\n", " \n", "\n", - " circle_marker_cf1d444b2af04bac688bb7ad024d7356.bindPopup(popup_f28a4fe5aaa1a6e0414a067557177740)\n", + " circle_marker_126ef4ebfd5f909122c81d68cf882d06.bindPopup(popup_ea94e77886547e9817f58df02f2dc697)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_cb9e2b11f43401a8bea300e3f3916543 = L.circleMarker(\n", + " var circle_marker_ef198e22a9104529321b4cf1c3a167f2 = L.circleMarker(\n", " [37.74223349220518, -122.40991900141367],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f067932381ac63c1001831dcaa87de3d = L.popup({"maxWidth": "100%"});\n", + " var popup_07f672925426dce119cdc2d47af2600b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6a66201bb6ca10522ab0f4a4182d7e0d = $(`<div id="html_6a66201bb6ca10522ab0f4a4182d7e0d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f067932381ac63c1001831dcaa87de3d.setContent(html_6a66201bb6ca10522ab0f4a4182d7e0d);\n", + " var html_d1a824446895f207fa1bc79d66345a0c = $(`<div id="html_d1a824446895f207fa1bc79d66345a0c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_07f672925426dce119cdc2d47af2600b.setContent(html_d1a824446895f207fa1bc79d66345a0c);\n", " \n", "\n", - " circle_marker_cb9e2b11f43401a8bea300e3f3916543.bindPopup(popup_f067932381ac63c1001831dcaa87de3d)\n", + " circle_marker_ef198e22a9104529321b4cf1c3a167f2.bindPopup(popup_07f672925426dce119cdc2d47af2600b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_404d3cefc1a7e48d15318a56a04310d8 = L.circleMarker(\n", + " var circle_marker_cdb86c55fb20a939a54fdb57e81ec009 = L.circleMarker(\n", " [37.7387367287149, -122.41840106253402],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_315c0497310ba79c4303348895e5b074 = L.popup({"maxWidth": "100%"});\n", + " var popup_69ac58baedc6aa633bb804bde62a3034 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_af61fa9dc94eeb2290f49a2581685af7 = $(`<div id="html_af61fa9dc94eeb2290f49a2581685af7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_315c0497310ba79c4303348895e5b074.setContent(html_af61fa9dc94eeb2290f49a2581685af7);\n", + " var html_4ce9d913e6a67d49667ece1f86530ac4 = $(`<div id="html_4ce9d913e6a67d49667ece1f86530ac4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_69ac58baedc6aa633bb804bde62a3034.setContent(html_4ce9d913e6a67d49667ece1f86530ac4);\n", " \n", "\n", - " circle_marker_404d3cefc1a7e48d15318a56a04310d8.bindPopup(popup_315c0497310ba79c4303348895e5b074)\n", + " circle_marker_cdb86c55fb20a939a54fdb57e81ec009.bindPopup(popup_69ac58baedc6aa633bb804bde62a3034)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_dbf0bba945da4bd896a93f6c841f72a2 = L.circleMarker(\n", + " var circle_marker_bfecd7a92c535840aa87124e1d575494 = L.circleMarker(\n", " [37.76389286561216, -122.42381965154172],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c14575c13892fff8d18869c9ad7275f3 = L.popup({"maxWidth": "100%"});\n", + " var popup_851902f77e3ca4c599b5288b88aed75f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_79ad19239f3d56e24976c9ff29d586d9 = $(`<div id="html_79ad19239f3d56e24976c9ff29d586d9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c14575c13892fff8d18869c9ad7275f3.setContent(html_79ad19239f3d56e24976c9ff29d586d9);\n", + " var html_56d9cc298d9854c1e7e58dff4482425f = $(`<div id="html_56d9cc298d9854c1e7e58dff4482425f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_851902f77e3ca4c599b5288b88aed75f.setContent(html_56d9cc298d9854c1e7e58dff4482425f);\n", " \n", "\n", - " circle_marker_dbf0bba945da4bd896a93f6c841f72a2.bindPopup(popup_c14575c13892fff8d18869c9ad7275f3)\n", + " circle_marker_bfecd7a92c535840aa87124e1d575494.bindPopup(popup_851902f77e3ca4c599b5288b88aed75f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0942c5d0e42a9f1ac93833d6fd201968 = L.circleMarker(\n", + " var circle_marker_d93df16d8ae0d4e478e0662185311741 = L.circleMarker(\n", " [37.748347233277535, -122.40967803988173],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4bfc2939fbdeb8496d3b40f7b28c973c = L.popup({"maxWidth": "100%"});\n", + " var popup_aae3f7514c9249501ab1b36bbe61d3a3 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_64d72aa4d20d0b753c84ac8df8105284 = $(`<div id="html_64d72aa4d20d0b753c84ac8df8105284" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4bfc2939fbdeb8496d3b40f7b28c973c.setContent(html_64d72aa4d20d0b753c84ac8df8105284);\n", + " var html_cbf567b9ff31fcafdbfccb7b9fc60bd3 = $(`<div id="html_cbf567b9ff31fcafdbfccb7b9fc60bd3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_aae3f7514c9249501ab1b36bbe61d3a3.setContent(html_cbf567b9ff31fcafdbfccb7b9fc60bd3);\n", " \n", "\n", - " circle_marker_0942c5d0e42a9f1ac93833d6fd201968.bindPopup(popup_4bfc2939fbdeb8496d3b40f7b28c973c)\n", + " circle_marker_d93df16d8ae0d4e478e0662185311741.bindPopup(popup_aae3f7514c9249501ab1b36bbe61d3a3)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_877773663a19bc45fe9ca69cd3beabc6 = L.circleMarker(\n", + " var circle_marker_913ad2c93e1037fb79372eb3e9c1ec06 = L.circleMarker(\n", " [37.74026120078767, -122.42276619176752],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_926e18691fd672b96a90453ce3cc94b1 = L.popup({"maxWidth": "100%"});\n", + " var popup_4ccf9e91205d2b6c8b4c8480a12359c5 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2dc0eb0eb652362e75032881ba6340a3 = $(`<div id="html_2dc0eb0eb652362e75032881ba6340a3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_926e18691fd672b96a90453ce3cc94b1.setContent(html_2dc0eb0eb652362e75032881ba6340a3);\n", + " var html_03ffe92bfbaa8d8c9fe0e21f57b09b6b = $(`<div id="html_03ffe92bfbaa8d8c9fe0e21f57b09b6b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_4ccf9e91205d2b6c8b4c8480a12359c5.setContent(html_03ffe92bfbaa8d8c9fe0e21f57b09b6b);\n", " \n", "\n", - " circle_marker_877773663a19bc45fe9ca69cd3beabc6.bindPopup(popup_926e18691fd672b96a90453ce3cc94b1)\n", + " circle_marker_913ad2c93e1037fb79372eb3e9c1ec06.bindPopup(popup_4ccf9e91205d2b6c8b4c8480a12359c5)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_64d82dd816cd47a2950c68bd8feb7ef5 = L.circleMarker(\n", + " var circle_marker_e9ae20587b14c4ccadff0c90ff55b789 = L.circleMarker(\n", " [37.75539837180495, -122.42060974443976],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_d4487684cc5c2f500a190ab006d539a1 = L.popup({"maxWidth": "100%"});\n", + " var popup_5556804e82db4a7a4817f5d18a4e9530 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d9aafb6c8e19f06a2dd56a86a00bb371 = $(`<div id="html_d9aafb6c8e19f06a2dd56a86a00bb371" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_d4487684cc5c2f500a190ab006d539a1.setContent(html_d9aafb6c8e19f06a2dd56a86a00bb371);\n", + " var html_471969533f6c78f5bab9123917f00b99 = $(`<div id="html_471969533f6c78f5bab9123917f00b99" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_5556804e82db4a7a4817f5d18a4e9530.setContent(html_471969533f6c78f5bab9123917f00b99);\n", " \n", "\n", - " circle_marker_64d82dd816cd47a2950c68bd8feb7ef5.bindPopup(popup_d4487684cc5c2f500a190ab006d539a1)\n", + " circle_marker_e9ae20587b14c4ccadff0c90ff55b789.bindPopup(popup_5556804e82db4a7a4817f5d18a4e9530)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ea557925386172dbeee9ea399ffca257 = L.circleMarker(\n", + " var circle_marker_95916d6bc8c7f6b5c60e178983f9b8cd = L.circleMarker(\n", " [37.73770106674906, -122.41892417399505],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f27129db8614159bc8e4a8dcd1ff56c5 = L.popup({"maxWidth": "100%"});\n", + " var popup_9804f9dbccac123e857380e4e54f8c29 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e871a832517adba370824012e5bd040d = $(`<div id="html_e871a832517adba370824012e5bd040d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f27129db8614159bc8e4a8dcd1ff56c5.setContent(html_e871a832517adba370824012e5bd040d);\n", + " var html_a74a41c81b6df248723881c58b1ba0e1 = $(`<div id="html_a74a41c81b6df248723881c58b1ba0e1" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9804f9dbccac123e857380e4e54f8c29.setContent(html_a74a41c81b6df248723881c58b1ba0e1);\n", " \n", "\n", - " circle_marker_ea557925386172dbeee9ea399ffca257.bindPopup(popup_f27129db8614159bc8e4a8dcd1ff56c5)\n", + " circle_marker_95916d6bc8c7f6b5c60e178983f9b8cd.bindPopup(popup_9804f9dbccac123e857380e4e54f8c29)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_84659a636a7bbdd9698674393412ba23 = L.circleMarker(\n", + " var circle_marker_9dc59619e9021e63162ec1aa17534917 = L.circleMarker(\n", " [37.74708820953235, -122.41121543828048],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6d270bbffb1a56d9a5faa3733cf3e750 = L.popup({"maxWidth": "100%"});\n", + " var popup_5d735bb8a6cb12615671187de7534f1d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d02a08917bba0ea5842607db9edcf5ca = $(`<div id="html_d02a08917bba0ea5842607db9edcf5ca" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6d270bbffb1a56d9a5faa3733cf3e750.setContent(html_d02a08917bba0ea5842607db9edcf5ca);\n", + " var html_7c3685c1af65b6e59328113057c32d8d = $(`<div id="html_7c3685c1af65b6e59328113057c32d8d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_5d735bb8a6cb12615671187de7534f1d.setContent(html_7c3685c1af65b6e59328113057c32d8d);\n", " \n", "\n", - " circle_marker_84659a636a7bbdd9698674393412ba23.bindPopup(popup_6d270bbffb1a56d9a5faa3733cf3e750)\n", + " circle_marker_9dc59619e9021e63162ec1aa17534917.bindPopup(popup_5d735bb8a6cb12615671187de7534f1d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_3fbc022a5f0d41caa7619ec7a7f30e3a = L.circleMarker(\n", + " var circle_marker_8ae02684f5eeb65d764d7db8dfb1e469 = L.circleMarker(\n", " [37.76225919844404, -122.41486518168091],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f07ba93f1b04149a9d09be17bbb0496d = L.popup({"maxWidth": "100%"});\n", + " var popup_0a11603adff6312c5093a5c5f98759d0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a0ce8b5c05d0c0e56973fad8f3736177 = $(`<div id="html_a0ce8b5c05d0c0e56973fad8f3736177" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f07ba93f1b04149a9d09be17bbb0496d.setContent(html_a0ce8b5c05d0c0e56973fad8f3736177);\n", + " var html_3d923b8e6008a885f2e3310e1490efca = $(`<div id="html_3d923b8e6008a885f2e3310e1490efca" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_0a11603adff6312c5093a5c5f98759d0.setContent(html_3d923b8e6008a885f2e3310e1490efca);\n", " \n", "\n", - " circle_marker_3fbc022a5f0d41caa7619ec7a7f30e3a.bindPopup(popup_f07ba93f1b04149a9d09be17bbb0496d)\n", + " circle_marker_8ae02684f5eeb65d764d7db8dfb1e469.bindPopup(popup_0a11603adff6312c5093a5c5f98759d0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d91b7253ab95d975e276669ca53e2f67 = L.circleMarker(\n", + " var circle_marker_2b70943814145cb0fec5cd5607a1f004 = L.circleMarker(\n", " [37.740568264758494, -122.41163237344158],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f30f511d8032e1c97839271170a3a8bd = L.popup({"maxWidth": "100%"});\n", + " var popup_7bc4f02096a8c8cac24b99743671c28c = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e739f579ce2ef289e75a9eecacc71ed9 = $(`<div id="html_e739f579ce2ef289e75a9eecacc71ed9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f30f511d8032e1c97839271170a3a8bd.setContent(html_e739f579ce2ef289e75a9eecacc71ed9);\n", + " var html_b60d072164fbb12f8d24739bda434d6b = $(`<div id="html_b60d072164fbb12f8d24739bda434d6b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_7bc4f02096a8c8cac24b99743671c28c.setContent(html_b60d072164fbb12f8d24739bda434d6b);\n", " \n", "\n", - " circle_marker_d91b7253ab95d975e276669ca53e2f67.bindPopup(popup_f30f511d8032e1c97839271170a3a8bd)\n", + " circle_marker_2b70943814145cb0fec5cd5607a1f004.bindPopup(popup_7bc4f02096a8c8cac24b99743671c28c)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c8610443d2fd6c1e7adc515d1c7be849 = L.circleMarker(\n", + " var circle_marker_c5742761d137481180a00a5ed24d48cd = L.circleMarker(\n", " [37.744682871447594, -122.42039964169358],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_7da5d5a41dcf564545ee0b8132653144 = L.popup({"maxWidth": "100%"});\n", + " var popup_ce231303d18b782a46347d2a9af4a097 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_56e298cfd1a8bc592c890c0b518529b9 = $(`<div id="html_56e298cfd1a8bc592c890c0b518529b9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_7da5d5a41dcf564545ee0b8132653144.setContent(html_56e298cfd1a8bc592c890c0b518529b9);\n", + " var html_233b1b12efe5c6833275efb4a4036eea = $(`<div id="html_233b1b12efe5c6833275efb4a4036eea" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ce231303d18b782a46347d2a9af4a097.setContent(html_233b1b12efe5c6833275efb4a4036eea);\n", " \n", "\n", - " circle_marker_c8610443d2fd6c1e7adc515d1c7be849.bindPopup(popup_7da5d5a41dcf564545ee0b8132653144)\n", + " circle_marker_c5742761d137481180a00a5ed24d48cd.bindPopup(popup_ce231303d18b782a46347d2a9af4a097)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_cc3573ad24a65e761f4f2351e12dae0a = L.circleMarker(\n", + " var circle_marker_5e07dd6a68bbbf802249025acc7dce61 = L.circleMarker(\n", " [37.76001174749493, -122.41354296784603],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_69309306381a78aa72608e40914d43c7 = L.popup({"maxWidth": "100%"});\n", + " var popup_eb90eed2feaf6de7663b43b7cb202990 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_63f84a7e6946fc7c90191bc5ab4041b1 = $(`<div id="html_63f84a7e6946fc7c90191bc5ab4041b1" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_69309306381a78aa72608e40914d43c7.setContent(html_63f84a7e6946fc7c90191bc5ab4041b1);\n", + " var html_ed1b0478a29e647d8813ee196ee4cf48 = $(`<div id="html_ed1b0478a29e647d8813ee196ee4cf48" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_eb90eed2feaf6de7663b43b7cb202990.setContent(html_ed1b0478a29e647d8813ee196ee4cf48);\n", " \n", "\n", - " circle_marker_cc3573ad24a65e761f4f2351e12dae0a.bindPopup(popup_69309306381a78aa72608e40914d43c7)\n", + " circle_marker_5e07dd6a68bbbf802249025acc7dce61.bindPopup(popup_eb90eed2feaf6de7663b43b7cb202990)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e2c4049e4e72df723ccc8b7f9389a9fd = L.circleMarker(\n", + " var circle_marker_3f7f2d6ff867b2a7a0f252cd6e1f1cd0 = L.circleMarker(\n", " [37.76143653964776, -122.41250374000519],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_0d408717f7c298e61044116a3dfc494d = L.popup({"maxWidth": "100%"});\n", + " var popup_c046722ff5f777f91e4da0606184d628 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_9eae7d302958e6508888c22e751171ce = $(`<div id="html_9eae7d302958e6508888c22e751171ce" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_0d408717f7c298e61044116a3dfc494d.setContent(html_9eae7d302958e6508888c22e751171ce);\n", + " var html_eb7ca5231cf0a84a91e7f45e6fba3668 = $(`<div id="html_eb7ca5231cf0a84a91e7f45e6fba3668" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_c046722ff5f777f91e4da0606184d628.setContent(html_eb7ca5231cf0a84a91e7f45e6fba3668);\n", " \n", "\n", - " circle_marker_e2c4049e4e72df723ccc8b7f9389a9fd.bindPopup(popup_0d408717f7c298e61044116a3dfc494d)\n", + " circle_marker_3f7f2d6ff867b2a7a0f252cd6e1f1cd0.bindPopup(popup_c046722ff5f777f91e4da0606184d628)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e0db1b74ab077857497a7b4503e0cce4 = L.circleMarker(\n", + " var circle_marker_f818cad25a3560c71bc3231ea5ef2082 = L.circleMarker(\n", " [37.758881507967835, -122.42158735975825],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_454017b3b653ddadd2b5d7dadc5d58f3 = L.popup({"maxWidth": "100%"});\n", + " var popup_added77ebf4127452dd1469f5ceea486 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_b97260084b983534cd25d63833d3607f = $(`<div id="html_b97260084b983534cd25d63833d3607f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_454017b3b653ddadd2b5d7dadc5d58f3.setContent(html_b97260084b983534cd25d63833d3607f);\n", + " var html_db65f6027f8bcd8f4b93a37a7b8513cf = $(`<div id="html_db65f6027f8bcd8f4b93a37a7b8513cf" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_added77ebf4127452dd1469f5ceea486.setContent(html_db65f6027f8bcd8f4b93a37a7b8513cf);\n", " \n", "\n", - " circle_marker_e0db1b74ab077857497a7b4503e0cce4.bindPopup(popup_454017b3b653ddadd2b5d7dadc5d58f3)\n", + " circle_marker_f818cad25a3560c71bc3231ea5ef2082.bindPopup(popup_added77ebf4127452dd1469f5ceea486)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e961dd9d714d531dc4a43afc6aa3b672 = L.circleMarker(\n", + " var circle_marker_3134bad569a3a785c8560a51abede210 = L.circleMarker(\n", " [37.76418120866797, -122.42383388780732],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_167c006c9277a55d3bcb4d8a13f81eb0 = L.popup({"maxWidth": "100%"});\n", + " var popup_7a48b1cf3b232bf573c542d149b52479 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_61093d3f5fd152e13a6963b2ff18122b = $(`<div id="html_61093d3f5fd152e13a6963b2ff18122b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_167c006c9277a55d3bcb4d8a13f81eb0.setContent(html_61093d3f5fd152e13a6963b2ff18122b);\n", + " var html_849ba10f35483e84548896939bd8e0c5 = $(`<div id="html_849ba10f35483e84548896939bd8e0c5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_7a48b1cf3b232bf573c542d149b52479.setContent(html_849ba10f35483e84548896939bd8e0c5);\n", " \n", "\n", - " circle_marker_e961dd9d714d531dc4a43afc6aa3b672.bindPopup(popup_167c006c9277a55d3bcb4d8a13f81eb0)\n", + " circle_marker_3134bad569a3a785c8560a51abede210.bindPopup(popup_7a48b1cf3b232bf573c542d149b52479)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d87d1a75c457d134c7015364771fe4f0 = L.circleMarker(\n", + " var circle_marker_2180bcd42fe94d7b2ab1a6899fb99f51 = L.circleMarker(\n", " [37.738930706925785, -122.41100854960864],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_a9eb9a275eb936d6eec8304c4bd53802 = L.popup({"maxWidth": "100%"});\n", + " var popup_388a2da7297d63be7c4d6137749621b8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_9f93daa0611960e55c48739fc92565a2 = $(`<div id="html_9f93daa0611960e55c48739fc92565a2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_a9eb9a275eb936d6eec8304c4bd53802.setContent(html_9f93daa0611960e55c48739fc92565a2);\n", + " var html_f97d3b9ebc0a432383e4d7b01b8e1473 = $(`<div id="html_f97d3b9ebc0a432383e4d7b01b8e1473" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_388a2da7297d63be7c4d6137749621b8.setContent(html_f97d3b9ebc0a432383e4d7b01b8e1473);\n", " \n", "\n", - " circle_marker_d87d1a75c457d134c7015364771fe4f0.bindPopup(popup_a9eb9a275eb936d6eec8304c4bd53802)\n", + " circle_marker_2180bcd42fe94d7b2ab1a6899fb99f51.bindPopup(popup_388a2da7297d63be7c4d6137749621b8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_10d5b8d38d8fef1e93633d9d14277a60 = L.circleMarker(\n", + " var circle_marker_65f7830fc78cfd84ff9b2bdf83fa5ea3 = L.circleMarker(\n", " [37.75658034967026, -122.40436699718947],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_28616f284921a400e8c9c0162f476fa5 = L.popup({"maxWidth": "100%"});\n", + " var popup_20d05ea600d3b6b0708f2a34074066a8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f2ddedde5435e19b1b2ef479ea50c3d2 = $(`<div id="html_f2ddedde5435e19b1b2ef479ea50c3d2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_28616f284921a400e8c9c0162f476fa5.setContent(html_f2ddedde5435e19b1b2ef479ea50c3d2);\n", + " var html_23b62488f429348157618e8d24154cd4 = $(`<div id="html_23b62488f429348157618e8d24154cd4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_20d05ea600d3b6b0708f2a34074066a8.setContent(html_23b62488f429348157618e8d24154cd4);\n", " \n", "\n", - " circle_marker_10d5b8d38d8fef1e93633d9d14277a60.bindPopup(popup_28616f284921a400e8c9c0162f476fa5)\n", + " circle_marker_65f7830fc78cfd84ff9b2bdf83fa5ea3.bindPopup(popup_20d05ea600d3b6b0708f2a34074066a8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a97b389e3c030d02ffeb3293f0122687 = L.circleMarker(\n", + " var circle_marker_2d718eb9d3b6bbe2f11b30a55ba997d6 = L.circleMarker(\n", " [37.73885550860088, -122.42208826738184],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_850eb8188406275254f1c771d7005c0a = L.popup({"maxWidth": "100%"});\n", + " var popup_994c605d61f77c59f96054050c2a41a5 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_3c600e35a558f73b5847b04b8414ea29 = $(`<div id="html_3c600e35a558f73b5847b04b8414ea29" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_850eb8188406275254f1c771d7005c0a.setContent(html_3c600e35a558f73b5847b04b8414ea29);\n", + " var html_9141e33d8f3bd9bcb1c0e12467b3c2be = $(`<div id="html_9141e33d8f3bd9bcb1c0e12467b3c2be" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_994c605d61f77c59f96054050c2a41a5.setContent(html_9141e33d8f3bd9bcb1c0e12467b3c2be);\n", " \n", "\n", - " circle_marker_a97b389e3c030d02ffeb3293f0122687.bindPopup(popup_850eb8188406275254f1c771d7005c0a)\n", + " circle_marker_2d718eb9d3b6bbe2f11b30a55ba997d6.bindPopup(popup_994c605d61f77c59f96054050c2a41a5)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8fe68669be16dc77224989bf278bacf2 = L.circleMarker(\n", + " var circle_marker_b860f3b864fff91daf4db6187181c2cf = L.circleMarker(\n", " [37.73242889676793, -122.41533486255479],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_862009075db5377b458376bc86c2c311 = L.popup({"maxWidth": "100%"});\n", + " var popup_9f062b549732296e585f1b70d04dc2bd = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_9964c8b26976f657a233194a5976d52a = $(`<div id="html_9964c8b26976f657a233194a5976d52a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_862009075db5377b458376bc86c2c311.setContent(html_9964c8b26976f657a233194a5976d52a);\n", + " var html_f1b0761ea38dcae8bd7ac8a1dcd5a461 = $(`<div id="html_f1b0761ea38dcae8bd7ac8a1dcd5a461" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9f062b549732296e585f1b70d04dc2bd.setContent(html_f1b0761ea38dcae8bd7ac8a1dcd5a461);\n", " \n", "\n", - " circle_marker_8fe68669be16dc77224989bf278bacf2.bindPopup(popup_862009075db5377b458376bc86c2c311)\n", + " circle_marker_b860f3b864fff91daf4db6187181c2cf.bindPopup(popup_9f062b549732296e585f1b70d04dc2bd)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4854ac604bb38b8f15b7b9e0e96b55fc = L.circleMarker(\n", + " var circle_marker_845c56da61cfe9654af790c88b97df71 = L.circleMarker(\n", " [37.7460946279338, -122.42327589475202],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_00943e721791728117a3f3aedc72a18f = L.popup({"maxWidth": "100%"});\n", + " var popup_9a46beb663a63eaa752b84633b2f3191 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_cd4f392795184a261d2f0354830f0738 = $(`<div id="html_cd4f392795184a261d2f0354830f0738" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_00943e721791728117a3f3aedc72a18f.setContent(html_cd4f392795184a261d2f0354830f0738);\n", + " var html_8fb976bec7a191b9a2b571ff806f1095 = $(`<div id="html_8fb976bec7a191b9a2b571ff806f1095" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9a46beb663a63eaa752b84633b2f3191.setContent(html_8fb976bec7a191b9a2b571ff806f1095);\n", " \n", "\n", - " circle_marker_4854ac604bb38b8f15b7b9e0e96b55fc.bindPopup(popup_00943e721791728117a3f3aedc72a18f)\n", + " circle_marker_845c56da61cfe9654af790c88b97df71.bindPopup(popup_9a46beb663a63eaa752b84633b2f3191)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b0315d2fd38798e4e1d1d1e07458cb97 = L.circleMarker(\n", + " var circle_marker_4d74c43239c6583ae057cc2d4c7b0ecb = L.circleMarker(\n", " [37.74742653113364, -122.41901571198258],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_146e14855fc4ea783171fdce8f73f3a8 = L.popup({"maxWidth": "100%"});\n", + " var popup_105e355fb73ec7b551280ce4b5de93e8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_dee589dadba6e96555196b641a8b2193 = $(`<div id="html_dee589dadba6e96555196b641a8b2193" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_146e14855fc4ea783171fdce8f73f3a8.setContent(html_dee589dadba6e96555196b641a8b2193);\n", + " var html_e24506fc05d29c5f44d3a0b5e5cc0b68 = $(`<div id="html_e24506fc05d29c5f44d3a0b5e5cc0b68" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_105e355fb73ec7b551280ce4b5de93e8.setContent(html_e24506fc05d29c5f44d3a0b5e5cc0b68);\n", " \n", "\n", - " circle_marker_b0315d2fd38798e4e1d1d1e07458cb97.bindPopup(popup_146e14855fc4ea783171fdce8f73f3a8)\n", + " circle_marker_4d74c43239c6583ae057cc2d4c7b0ecb.bindPopup(popup_105e355fb73ec7b551280ce4b5de93e8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c6638224014fa99040d72942a6d1322b = L.circleMarker(\n", + " var circle_marker_db18909f97f4eb72cfac7eaed954fcb5 = L.circleMarker(\n", " [37.7516461902975, -122.42148292078194],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_22e0cade809790ffa5129fd73844594b = L.popup({"maxWidth": "100%"});\n", + " var popup_5b203a240f6d88238107b90311e58b98 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e5a351f66456b3de7db4b0cbb794d918 = $(`<div id="html_e5a351f66456b3de7db4b0cbb794d918" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_22e0cade809790ffa5129fd73844594b.setContent(html_e5a351f66456b3de7db4b0cbb794d918);\n", + " var html_67af5ee7102468762b8d339039bfad05 = $(`<div id="html_67af5ee7102468762b8d339039bfad05" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_5b203a240f6d88238107b90311e58b98.setContent(html_67af5ee7102468762b8d339039bfad05);\n", " \n", "\n", - " circle_marker_c6638224014fa99040d72942a6d1322b.bindPopup(popup_22e0cade809790ffa5129fd73844594b)\n", + " circle_marker_db18909f97f4eb72cfac7eaed954fcb5.bindPopup(popup_5b203a240f6d88238107b90311e58b98)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bc4d58926385552e5a7c09e213305a63 = L.circleMarker(\n", + " var circle_marker_a5b0902bd45b2f5e08e3f7696475d153 = L.circleMarker(\n", " [37.73607306850611, -122.41535585953757],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_13169426fe6e7ef423970fb5ae58d64c = L.popup({"maxWidth": "100%"});\n", + " var popup_8d1de7010273695d6197333798dc4d80 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_5a6448639356ece1bb359495d73936bd = $(`<div id="html_5a6448639356ece1bb359495d73936bd" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_13169426fe6e7ef423970fb5ae58d64c.setContent(html_5a6448639356ece1bb359495d73936bd);\n", + " var html_e83ef34eb7d6ac8a14130818ef3a25f3 = $(`<div id="html_e83ef34eb7d6ac8a14130818ef3a25f3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_8d1de7010273695d6197333798dc4d80.setContent(html_e83ef34eb7d6ac8a14130818ef3a25f3);\n", " \n", "\n", - " circle_marker_bc4d58926385552e5a7c09e213305a63.bindPopup(popup_13169426fe6e7ef423970fb5ae58d64c)\n", + " circle_marker_a5b0902bd45b2f5e08e3f7696475d153.bindPopup(popup_8d1de7010273695d6197333798dc4d80)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ee3a27d1f614f987183c0cc09ea2832a = L.circleMarker(\n", + " var circle_marker_8c1c26308e78696bcc66a08f3ba6756a = L.circleMarker(\n", " [37.74511425270174, -122.41025793398745],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_eb13e1b366b914bec3cadeb63ee14847 = L.popup({"maxWidth": "100%"});\n", + " var popup_5eb9d45d293c801c78b05de400e844a3 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_60df2e5bd9f74235f5b4a35d0b24f72b = $(`<div id="html_60df2e5bd9f74235f5b4a35d0b24f72b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_eb13e1b366b914bec3cadeb63ee14847.setContent(html_60df2e5bd9f74235f5b4a35d0b24f72b);\n", + " var html_59fb853a92fbcc5fae72ab33023fbeca = $(`<div id="html_59fb853a92fbcc5fae72ab33023fbeca" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_5eb9d45d293c801c78b05de400e844a3.setContent(html_59fb853a92fbcc5fae72ab33023fbeca);\n", " \n", "\n", - " circle_marker_ee3a27d1f614f987183c0cc09ea2832a.bindPopup(popup_eb13e1b366b914bec3cadeb63ee14847)\n", + " circle_marker_8c1c26308e78696bcc66a08f3ba6756a.bindPopup(popup_5eb9d45d293c801c78b05de400e844a3)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_62abf216a82c1aac3f0ea69ea9062cb2 = L.circleMarker(\n", + " var circle_marker_fbeb198008833b32137711acdaba3bb8 = L.circleMarker(\n", " [37.73782696783066, -122.41412809295414],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f59bb81156d380c2846d59091c2d4091 = L.popup({"maxWidth": "100%"});\n", + " var popup_7aeb97c33d0115673d1c13f0bcc62db9 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_504306dcccf996703c87f04c376fbcc3 = $(`<div id="html_504306dcccf996703c87f04c376fbcc3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f59bb81156d380c2846d59091c2d4091.setContent(html_504306dcccf996703c87f04c376fbcc3);\n", + " var html_143eb4774a01331f3acaa8ae35c90841 = $(`<div id="html_143eb4774a01331f3acaa8ae35c90841" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_7aeb97c33d0115673d1c13f0bcc62db9.setContent(html_143eb4774a01331f3acaa8ae35c90841);\n", " \n", "\n", - " circle_marker_62abf216a82c1aac3f0ea69ea9062cb2.bindPopup(popup_f59bb81156d380c2846d59091c2d4091)\n", + " circle_marker_fbeb198008833b32137711acdaba3bb8.bindPopup(popup_7aeb97c33d0115673d1c13f0bcc62db9)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_72651654b6d1f124f43745c44f1aa5d3 = L.circleMarker(\n", + " var circle_marker_8771115b95c06778502088a1c1c11145 = L.circleMarker(\n", " [37.748264951499664, -122.42487627066222],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f76fba504c876ef02f9738616e88bf44 = L.popup({"maxWidth": "100%"});\n", + " var popup_22948c883544c258ea72769c0b597b46 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_943d0baea31100faf1632b2dea3c280e = $(`<div id="html_943d0baea31100faf1632b2dea3c280e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f76fba504c876ef02f9738616e88bf44.setContent(html_943d0baea31100faf1632b2dea3c280e);\n", + " var html_16f8a082d63a0ae4d9a1f2d811bf29cc = $(`<div id="html_16f8a082d63a0ae4d9a1f2d811bf29cc" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_22948c883544c258ea72769c0b597b46.setContent(html_16f8a082d63a0ae4d9a1f2d811bf29cc);\n", " \n", "\n", - " circle_marker_72651654b6d1f124f43745c44f1aa5d3.bindPopup(popup_f76fba504c876ef02f9738616e88bf44)\n", + " circle_marker_8771115b95c06778502088a1c1c11145.bindPopup(popup_22948c883544c258ea72769c0b597b46)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_502c5183c85a0ee917dea8e5bc7a5f1d = L.circleMarker(\n", + " var circle_marker_0d74b8f584b8cb8da146ae557a853653 = L.circleMarker(\n", " [37.76375791326102, -122.41948996087152],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6399b4058baa7da19b43e6631ae63cf1 = L.popup({"maxWidth": "100%"});\n", + " var popup_240966f9758de1806e81d4641b2ea8d0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_945412dde8cf7bd88e187e0c1f39cbb9 = $(`<div id="html_945412dde8cf7bd88e187e0c1f39cbb9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6399b4058baa7da19b43e6631ae63cf1.setContent(html_945412dde8cf7bd88e187e0c1f39cbb9);\n", + " var html_5b8bb240acb97ad4bab9cbe88e0a826e = $(`<div id="html_5b8bb240acb97ad4bab9cbe88e0a826e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_240966f9758de1806e81d4641b2ea8d0.setContent(html_5b8bb240acb97ad4bab9cbe88e0a826e);\n", " \n", "\n", - " circle_marker_502c5183c85a0ee917dea8e5bc7a5f1d.bindPopup(popup_6399b4058baa7da19b43e6631ae63cf1)\n", + " circle_marker_0d74b8f584b8cb8da146ae557a853653.bindPopup(popup_240966f9758de1806e81d4641b2ea8d0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_3a5452d4bb98ead4ccb2f4dc83955fe6 = L.circleMarker(\n", + " var circle_marker_50d9f79eb4bdfe005280fbd45ab46227 = L.circleMarker(\n", " [37.757190231652636, -122.40901934781371],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4148887c3601fbd5b3b977ebcf8bc792 = L.popup({"maxWidth": "100%"});\n", + " var popup_bf2564f40546fc70a423fe2250d5489d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2d7bd9df2f57aaa773f124d277f96337 = $(`<div id="html_2d7bd9df2f57aaa773f124d277f96337" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4148887c3601fbd5b3b977ebcf8bc792.setContent(html_2d7bd9df2f57aaa773f124d277f96337);\n", + " var html_d3616b0f6729528bdc7db20d56350591 = $(`<div id="html_d3616b0f6729528bdc7db20d56350591" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_bf2564f40546fc70a423fe2250d5489d.setContent(html_d3616b0f6729528bdc7db20d56350591);\n", " \n", "\n", - " circle_marker_3a5452d4bb98ead4ccb2f4dc83955fe6.bindPopup(popup_4148887c3601fbd5b3b977ebcf8bc792)\n", + " circle_marker_50d9f79eb4bdfe005280fbd45ab46227.bindPopup(popup_bf2564f40546fc70a423fe2250d5489d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bbe962a946283845418e4bfcf08e751e = L.circleMarker(\n", + " var circle_marker_858b80812927b2dba111b81d9f7424b5 = L.circleMarker(\n", " [37.7515671364096, -122.41446616923866],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_a95ef7a7fd4f18c5dade72ca64d24ae7 = L.popup({"maxWidth": "100%"});\n", + " var popup_6c84085d84fad4ac7cb185891aec255d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_25f41f13a5640405ae31bec45facdcc5 = $(`<div id="html_25f41f13a5640405ae31bec45facdcc5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_a95ef7a7fd4f18c5dade72ca64d24ae7.setContent(html_25f41f13a5640405ae31bec45facdcc5);\n", + " var html_767645404b5826adc594735479f7fe59 = $(`<div id="html_767645404b5826adc594735479f7fe59" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_6c84085d84fad4ac7cb185891aec255d.setContent(html_767645404b5826adc594735479f7fe59);\n", " \n", "\n", - " circle_marker_bbe962a946283845418e4bfcf08e751e.bindPopup(popup_a95ef7a7fd4f18c5dade72ca64d24ae7)\n", + " circle_marker_858b80812927b2dba111b81d9f7424b5.bindPopup(popup_6c84085d84fad4ac7cb185891aec255d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a667d50e03be715f91e8b2d7b0a8e1dd = L.circleMarker(\n", + " var circle_marker_6a4023de74d3b6b8b68ce954da8c9aa3 = L.circleMarker(\n", " [37.75843991693097, -122.41145761273533],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_62bfd6db21edffe75572043f9bdace29 = L.popup({"maxWidth": "100%"});\n", + " var popup_9cda9389652ec876227a70c90af59a00 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_b9b99a150b0c4c6f387b6a23e80a324d = $(`<div id="html_b9b99a150b0c4c6f387b6a23e80a324d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_62bfd6db21edffe75572043f9bdace29.setContent(html_b9b99a150b0c4c6f387b6a23e80a324d);\n", + " var html_d1dba9006a25c7b8a766ab3e586e7232 = $(`<div id="html_d1dba9006a25c7b8a766ab3e586e7232" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9cda9389652ec876227a70c90af59a00.setContent(html_d1dba9006a25c7b8a766ab3e586e7232);\n", " \n", "\n", - " circle_marker_a667d50e03be715f91e8b2d7b0a8e1dd.bindPopup(popup_62bfd6db21edffe75572043f9bdace29)\n", + " circle_marker_6a4023de74d3b6b8b68ce954da8c9aa3.bindPopup(popup_9cda9389652ec876227a70c90af59a00)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e3bae425580ddea13ec347c45b28b0ea = L.circleMarker(\n", + " var circle_marker_360d2fc2d273802d1d1fac99e9e188de = L.circleMarker(\n", " [37.75163337537155, -122.42137810541736],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_86056d6325ae72ef79cabbd3df3c46ac = L.popup({"maxWidth": "100%"});\n", + " var popup_29c56fbd0b34af8121c3463f2650aaf4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_14d2c5164f2301de1ba991c1c00d8aae = $(`<div id="html_14d2c5164f2301de1ba991c1c00d8aae" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_86056d6325ae72ef79cabbd3df3c46ac.setContent(html_14d2c5164f2301de1ba991c1c00d8aae);\n", + " var html_1f930d48386f0618e980b55815a745a6 = $(`<div id="html_1f930d48386f0618e980b55815a745a6" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_29c56fbd0b34af8121c3463f2650aaf4.setContent(html_1f930d48386f0618e980b55815a745a6);\n", " \n", "\n", - " circle_marker_e3bae425580ddea13ec347c45b28b0ea.bindPopup(popup_86056d6325ae72ef79cabbd3df3c46ac)\n", + " circle_marker_360d2fc2d273802d1d1fac99e9e188de.bindPopup(popup_29c56fbd0b34af8121c3463f2650aaf4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_440f00f20d85eddf061ab5672cb2ee2d = L.circleMarker(\n", + " var circle_marker_1db5f89e9d6a0c494cfb9ca904f200ac = L.circleMarker(\n", " [37.764481854652736, -122.41993600982686],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_5ac09c5d9556f9421de6ee1be820bb3a = L.popup({"maxWidth": "100%"});\n", + " var popup_a156c907cab325dfd97e412c7751c0eb = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_51eaaf859a1922c6433138a0128411f0 = $(`<div id="html_51eaaf859a1922c6433138a0128411f0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_5ac09c5d9556f9421de6ee1be820bb3a.setContent(html_51eaaf859a1922c6433138a0128411f0);\n", + " var html_8102f715ea51ff0e099e0b9203f926a5 = $(`<div id="html_8102f715ea51ff0e099e0b9203f926a5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a156c907cab325dfd97e412c7751c0eb.setContent(html_8102f715ea51ff0e099e0b9203f926a5);\n", " \n", "\n", - " circle_marker_440f00f20d85eddf061ab5672cb2ee2d.bindPopup(popup_5ac09c5d9556f9421de6ee1be820bb3a)\n", + " circle_marker_1db5f89e9d6a0c494cfb9ca904f200ac.bindPopup(popup_a156c907cab325dfd97e412c7751c0eb)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2730d4b1e15815df7926bbb6789ed059 = L.circleMarker(\n", + " var circle_marker_dd6a52f8af16ce8825e99146d59382f2 = L.circleMarker(\n", " [37.76406227103009, -122.4226566332339],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_e3b1515afa5a1e5de62af614ad7774df = L.popup({"maxWidth": "100%"});\n", + " var popup_a0ba9cd0065fb01df104c9f757da236a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f09002ec2234935bdcf53c66fb3d5158 = $(`<div id="html_f09002ec2234935bdcf53c66fb3d5158" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_e3b1515afa5a1e5de62af614ad7774df.setContent(html_f09002ec2234935bdcf53c66fb3d5158);\n", + " var html_c8aba6b9d65dec946706789d9e7cfbc4 = $(`<div id="html_c8aba6b9d65dec946706789d9e7cfbc4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a0ba9cd0065fb01df104c9f757da236a.setContent(html_c8aba6b9d65dec946706789d9e7cfbc4);\n", " \n", "\n", - " circle_marker_2730d4b1e15815df7926bbb6789ed059.bindPopup(popup_e3b1515afa5a1e5de62af614ad7774df)\n", + " circle_marker_dd6a52f8af16ce8825e99146d59382f2.bindPopup(popup_a0ba9cd0065fb01df104c9f757da236a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_441f4766d1cff2b2830de815699f8bfb = L.circleMarker(\n", + " var circle_marker_4951804e5115be3302ece36ca92e5ee9 = L.circleMarker(\n", " [37.76149261428097, -122.41246627252544],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_34a33de671c4b48c8c40c04e2078c704 = L.popup({"maxWidth": "100%"});\n", + " var popup_38f31f4ede62160ffb3e447f3eda46bf = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_98b5dbfcb890a543fdd43764c4ea5a92 = $(`<div id="html_98b5dbfcb890a543fdd43764c4ea5a92" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_34a33de671c4b48c8c40c04e2078c704.setContent(html_98b5dbfcb890a543fdd43764c4ea5a92);\n", + " var html_be291c21a10ef2b7d3d5a05c3864aa45 = $(`<div id="html_be291c21a10ef2b7d3d5a05c3864aa45" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_38f31f4ede62160ffb3e447f3eda46bf.setContent(html_be291c21a10ef2b7d3d5a05c3864aa45);\n", " \n", "\n", - " circle_marker_441f4766d1cff2b2830de815699f8bfb.bindPopup(popup_34a33de671c4b48c8c40c04e2078c704)\n", + " circle_marker_4951804e5115be3302ece36ca92e5ee9.bindPopup(popup_38f31f4ede62160ffb3e447f3eda46bf)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_74fef5df7e80940f460ec38f5063334d = L.circleMarker(\n", + " var circle_marker_5ad7f58f22cc4280209bac02d2bf1a6d = L.circleMarker(\n", " [37.76062461888235, -122.42108957360912],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_8745e4e7f3a436bfe977139affcbb125 = L.popup({"maxWidth": "100%"});\n", + " var popup_4cb730597d7dd68b966b6072a7fda2ea = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0fe61f6c490f0afd84bbd99371d8f74b = $(`<div id="html_0fe61f6c490f0afd84bbd99371d8f74b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_8745e4e7f3a436bfe977139affcbb125.setContent(html_0fe61f6c490f0afd84bbd99371d8f74b);\n", + " var html_d6cc3573b1ecd20b75e723515f6c4ed3 = $(`<div id="html_d6cc3573b1ecd20b75e723515f6c4ed3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_4cb730597d7dd68b966b6072a7fda2ea.setContent(html_d6cc3573b1ecd20b75e723515f6c4ed3);\n", " \n", "\n", - " circle_marker_74fef5df7e80940f460ec38f5063334d.bindPopup(popup_8745e4e7f3a436bfe977139affcbb125)\n", + " circle_marker_5ad7f58f22cc4280209bac02d2bf1a6d.bindPopup(popup_4cb730597d7dd68b966b6072a7fda2ea)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a84d37d3b10959ddad9e40403e789d7c = L.circleMarker(\n", + " var circle_marker_9acc0d29d31abfb7a3a22dabb2b579ec = L.circleMarker(\n", " [37.736623528205754, -122.41970410021572],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_d34084e325b64d21349eec0fde83e940 = L.popup({"maxWidth": "100%"});\n", + " var popup_13f6b67597cffbdbfd3734279e0fb404 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_07dd7ebed348ca11b1fccafff19955b2 = $(`<div id="html_07dd7ebed348ca11b1fccafff19955b2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_d34084e325b64d21349eec0fde83e940.setContent(html_07dd7ebed348ca11b1fccafff19955b2);\n", + " var html_9fd77cac57070f996637f3babe15c2e4 = $(`<div id="html_9fd77cac57070f996637f3babe15c2e4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_13f6b67597cffbdbfd3734279e0fb404.setContent(html_9fd77cac57070f996637f3babe15c2e4);\n", " \n", "\n", - " circle_marker_a84d37d3b10959ddad9e40403e789d7c.bindPopup(popup_d34084e325b64d21349eec0fde83e940)\n", + " circle_marker_9acc0d29d31abfb7a3a22dabb2b579ec.bindPopup(popup_13f6b67597cffbdbfd3734279e0fb404)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_710dfc9d64d608654a6b7bb152754be8 = L.circleMarker(\n", + " var circle_marker_d67e8496d22a3af7cdbcf67605661d25 = L.circleMarker(\n", " [37.75345065474162, -122.41586666626333],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_e6ca8e9542bdc4f3f3a580bf962a7db9 = L.popup({"maxWidth": "100%"});\n", + " var popup_15e7b4cfe275b555c4a4ecfd8912ff6a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_c3c7d36eaea00cdba0d5fad13d7ec334 = $(`<div id="html_c3c7d36eaea00cdba0d5fad13d7ec334" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_e6ca8e9542bdc4f3f3a580bf962a7db9.setContent(html_c3c7d36eaea00cdba0d5fad13d7ec334);\n", + " var html_758764404f08e71ce9ab51d41446e548 = $(`<div id="html_758764404f08e71ce9ab51d41446e548" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_15e7b4cfe275b555c4a4ecfd8912ff6a.setContent(html_758764404f08e71ce9ab51d41446e548);\n", " \n", "\n", - " circle_marker_710dfc9d64d608654a6b7bb152754be8.bindPopup(popup_e6ca8e9542bdc4f3f3a580bf962a7db9)\n", + " circle_marker_d67e8496d22a3af7cdbcf67605661d25.bindPopup(popup_15e7b4cfe275b555c4a4ecfd8912ff6a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_717b800b74b3d80edf14f0e560a49763 = L.circleMarker(\n", + " var circle_marker_0cc3bafc43c3f6e7f747e3a9a43a1983 = L.circleMarker(\n", " [37.73623856050469, -122.41915845180576],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_fdf6d8ee6a52a0166ac4c289c6426c66 = L.popup({"maxWidth": "100%"});\n", + " var popup_5bb2aae46c6ad564d2623886f4a34e49 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_67dcf328de70c3c67b048fcd08f8dd8d = $(`<div id="html_67dcf328de70c3c67b048fcd08f8dd8d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_fdf6d8ee6a52a0166ac4c289c6426c66.setContent(html_67dcf328de70c3c67b048fcd08f8dd8d);\n", + " var html_728fdc5e0249b1fc4a41bc0f7914253a = $(`<div id="html_728fdc5e0249b1fc4a41bc0f7914253a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_5bb2aae46c6ad564d2623886f4a34e49.setContent(html_728fdc5e0249b1fc4a41bc0f7914253a);\n", " \n", "\n", - " circle_marker_717b800b74b3d80edf14f0e560a49763.bindPopup(popup_fdf6d8ee6a52a0166ac4c289c6426c66)\n", + " circle_marker_0cc3bafc43c3f6e7f747e3a9a43a1983.bindPopup(popup_5bb2aae46c6ad564d2623886f4a34e49)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_9eb198c13fc47e21bd0e721c90ea6d71 = L.circleMarker(\n", + " var circle_marker_79151154eaee075feda72b3af0a48c53 = L.circleMarker(\n", " [37.73923240960833, -122.41551073208204],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_a415838dcd84923beb700b7588fc0af9 = L.popup({"maxWidth": "100%"});\n", + " var popup_50fb603fa75d74df9f5c382803a88cb0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e4d04e884c8b2f0f31173c1a690986c0 = $(`<div id="html_e4d04e884c8b2f0f31173c1a690986c0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_a415838dcd84923beb700b7588fc0af9.setContent(html_e4d04e884c8b2f0f31173c1a690986c0);\n", + " var html_03f3438f60cd01f38356140fbda24050 = $(`<div id="html_03f3438f60cd01f38356140fbda24050" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_50fb603fa75d74df9f5c382803a88cb0.setContent(html_03f3438f60cd01f38356140fbda24050);\n", " \n", "\n", - " circle_marker_9eb198c13fc47e21bd0e721c90ea6d71.bindPopup(popup_a415838dcd84923beb700b7588fc0af9)\n", + " circle_marker_79151154eaee075feda72b3af0a48c53.bindPopup(popup_50fb603fa75d74df9f5c382803a88cb0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e2f9d385165dff155a18e8cbac1a6e49 = L.circleMarker(\n", + " var circle_marker_17b681954c7b4a51ea27e88812c91bee = L.circleMarker(\n", " [37.761078335088655, -122.42607748635427],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_1dbd183199a48814c01fd387d3ae67f9 = L.popup({"maxWidth": "100%"});\n", + " var popup_1baa1efcaef4106c672f6c458a968a22 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_3a979e0030da52203b62688bea54ef80 = $(`<div id="html_3a979e0030da52203b62688bea54ef80" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_1dbd183199a48814c01fd387d3ae67f9.setContent(html_3a979e0030da52203b62688bea54ef80);\n", + " var html_0477f05886a6502ef9135236e0fa0764 = $(`<div id="html_0477f05886a6502ef9135236e0fa0764" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1baa1efcaef4106c672f6c458a968a22.setContent(html_0477f05886a6502ef9135236e0fa0764);\n", " \n", "\n", - " circle_marker_e2f9d385165dff155a18e8cbac1a6e49.bindPopup(popup_1dbd183199a48814c01fd387d3ae67f9)\n", + " circle_marker_17b681954c7b4a51ea27e88812c91bee.bindPopup(popup_1baa1efcaef4106c672f6c458a968a22)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4aaf7b7cf724fe1f061ccaafa2f2e33f = L.circleMarker(\n", + " var circle_marker_b0fbd2a9497bc3d1852c04f4f6deb714 = L.circleMarker(\n", " [37.75805957305026, -122.4054100676619],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_006a0d9d1f8ebb7a70aad5c538307a64 = L.popup({"maxWidth": "100%"});\n", + " var popup_1b32ccd2a121625d52e753fb1141e5d8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_dc2a2637627ec09d2ced717f23325d1a = $(`<div id="html_dc2a2637627ec09d2ced717f23325d1a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_006a0d9d1f8ebb7a70aad5c538307a64.setContent(html_dc2a2637627ec09d2ced717f23325d1a);\n", + " var html_5388677822c01c0ed7cc825ebe3af2bb = $(`<div id="html_5388677822c01c0ed7cc825ebe3af2bb" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1b32ccd2a121625d52e753fb1141e5d8.setContent(html_5388677822c01c0ed7cc825ebe3af2bb);\n", " \n", "\n", - " circle_marker_4aaf7b7cf724fe1f061ccaafa2f2e33f.bindPopup(popup_006a0d9d1f8ebb7a70aad5c538307a64)\n", + " circle_marker_b0fbd2a9497bc3d1852c04f4f6deb714.bindPopup(popup_1b32ccd2a121625d52e753fb1141e5d8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8f688b4127f290afbe731762333c8b03 = L.circleMarker(\n", + " var circle_marker_d822f62c8c0225075bf9f35c4500dc10 = L.circleMarker(\n", " [37.73432756040431, -122.42006414249477],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c7ec564a42465d253c3508d6de1e5189 = L.popup({"maxWidth": "100%"});\n", + " var popup_b0d8b659b20520c3c4d4a872b4e68863 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6aa5ae1e0fa09651af30d78205242d72 = $(`<div id="html_6aa5ae1e0fa09651af30d78205242d72" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c7ec564a42465d253c3508d6de1e5189.setContent(html_6aa5ae1e0fa09651af30d78205242d72);\n", + " var html_1150b7805a2cbb6b5a4aa8abbfb1df8a = $(`<div id="html_1150b7805a2cbb6b5a4aa8abbfb1df8a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b0d8b659b20520c3c4d4a872b4e68863.setContent(html_1150b7805a2cbb6b5a4aa8abbfb1df8a);\n", " \n", "\n", - " circle_marker_8f688b4127f290afbe731762333c8b03.bindPopup(popup_c7ec564a42465d253c3508d6de1e5189)\n", + " circle_marker_d822f62c8c0225075bf9f35c4500dc10.bindPopup(popup_b0d8b659b20520c3c4d4a872b4e68863)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_02d18c0327553a83f769c2092172f117 = L.circleMarker(\n", + " var circle_marker_1bed7c5c96a5fcc8690e1d5891b6ce9d = L.circleMarker(\n", " [37.73950355490107, -122.41817054462335],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_85865dfce6deb6371fa64f4cb648de50 = L.popup({"maxWidth": "100%"});\n", + " var popup_197a6143f0f4da8edc30ad5556fa8833 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_022ae8d51a2629e63ec72b4600875f03 = $(`<div id="html_022ae8d51a2629e63ec72b4600875f03" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_85865dfce6deb6371fa64f4cb648de50.setContent(html_022ae8d51a2629e63ec72b4600875f03);\n", + " var html_ef8e07155dec65b905c599d96d11e194 = $(`<div id="html_ef8e07155dec65b905c599d96d11e194" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_197a6143f0f4da8edc30ad5556fa8833.setContent(html_ef8e07155dec65b905c599d96d11e194);\n", " \n", "\n", - " circle_marker_02d18c0327553a83f769c2092172f117.bindPopup(popup_85865dfce6deb6371fa64f4cb648de50)\n", + " circle_marker_1bed7c5c96a5fcc8690e1d5891b6ce9d.bindPopup(popup_197a6143f0f4da8edc30ad5556fa8833)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_25bfacf971396305821994c43e5cf11e = L.circleMarker(\n", + " var circle_marker_16ff4aba4ee06700a1284a59f3e0abb0 = L.circleMarker(\n", " [37.73658262871167, -122.40888503839128],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_d1a3c2f9565b596fd6df6f22fbb8a24d = L.popup({"maxWidth": "100%"});\n", + " var popup_f62d69f3d5a99af423c17c85ed838cb1 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_8f0a00e2faf98be08558d69115ec677a = $(`<div id="html_8f0a00e2faf98be08558d69115ec677a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_d1a3c2f9565b596fd6df6f22fbb8a24d.setContent(html_8f0a00e2faf98be08558d69115ec677a);\n", + " var html_9e8ef3343d607d9aa066abb1123a3a75 = $(`<div id="html_9e8ef3343d607d9aa066abb1123a3a75" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_f62d69f3d5a99af423c17c85ed838cb1.setContent(html_9e8ef3343d607d9aa066abb1123a3a75);\n", " \n", "\n", - " circle_marker_25bfacf971396305821994c43e5cf11e.bindPopup(popup_d1a3c2f9565b596fd6df6f22fbb8a24d)\n", + " circle_marker_16ff4aba4ee06700a1284a59f3e0abb0.bindPopup(popup_f62d69f3d5a99af423c17c85ed838cb1)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_02792c847a1e68d5283ddce38aad03be = L.circleMarker(\n", + " var circle_marker_723d755b3b6ed722ec7b721e49897293 = L.circleMarker(\n", " [37.73995333620304, -122.41140314623527],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_605799041fbed4c675f63469159987ce = L.popup({"maxWidth": "100%"});\n", + " var popup_81770303404c6fae4b3a00a53ae2686d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0e39f37ae0b271a847b72ddb445625a4 = $(`<div id="html_0e39f37ae0b271a847b72ddb445625a4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_605799041fbed4c675f63469159987ce.setContent(html_0e39f37ae0b271a847b72ddb445625a4);\n", + " var html_dc581be95b5138f7b79040266b439627 = $(`<div id="html_dc581be95b5138f7b79040266b439627" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_81770303404c6fae4b3a00a53ae2686d.setContent(html_dc581be95b5138f7b79040266b439627);\n", " \n", "\n", - " circle_marker_02792c847a1e68d5283ddce38aad03be.bindPopup(popup_605799041fbed4c675f63469159987ce)\n", + " circle_marker_723d755b3b6ed722ec7b721e49897293.bindPopup(popup_81770303404c6fae4b3a00a53ae2686d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c8bb12bf0287663d25cb31371b7743ab = L.circleMarker(\n", + " var circle_marker_d690e3554e072ad65a414a2477b9d22c = L.circleMarker(\n", " [37.750638766365256, -122.41783069338953],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_5b509b69881e8e91052d4e139b0d1c63 = L.popup({"maxWidth": "100%"});\n", + " var popup_d5d720f5d0ca9278c97eaf65a1a71193 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6c07e5ec9026609ec810902201e20569 = $(`<div id="html_6c07e5ec9026609ec810902201e20569" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_5b509b69881e8e91052d4e139b0d1c63.setContent(html_6c07e5ec9026609ec810902201e20569);\n", + " var html_9076ef55049211e7531b5c7c00b5ebf2 = $(`<div id="html_9076ef55049211e7531b5c7c00b5ebf2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_d5d720f5d0ca9278c97eaf65a1a71193.setContent(html_9076ef55049211e7531b5c7c00b5ebf2);\n", " \n", "\n", - " circle_marker_c8bb12bf0287663d25cb31371b7743ab.bindPopup(popup_5b509b69881e8e91052d4e139b0d1c63)\n", + " circle_marker_d690e3554e072ad65a414a2477b9d22c.bindPopup(popup_d5d720f5d0ca9278c97eaf65a1a71193)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f48f3f91cacfde9747be4d49e68b866e = L.circleMarker(\n", + " var circle_marker_47b435ba350fd3014ce5e2784e19db53 = L.circleMarker(\n", " [37.756449811909334, -122.40658575420164],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_1ffc130ebc70e0aed50ca31dc71a5a6b = L.popup({"maxWidth": "100%"});\n", + " var popup_7290a9bb9906dbded1704981cf51eff3 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e29745b94190d15b2dde145f341baf7b = $(`<div id="html_e29745b94190d15b2dde145f341baf7b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_1ffc130ebc70e0aed50ca31dc71a5a6b.setContent(html_e29745b94190d15b2dde145f341baf7b);\n", + " var html_d495e51e5979af0441798bb2e3155da0 = $(`<div id="html_d495e51e5979af0441798bb2e3155da0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_7290a9bb9906dbded1704981cf51eff3.setContent(html_d495e51e5979af0441798bb2e3155da0);\n", " \n", "\n", - " circle_marker_f48f3f91cacfde9747be4d49e68b866e.bindPopup(popup_1ffc130ebc70e0aed50ca31dc71a5a6b)\n", + " circle_marker_47b435ba350fd3014ce5e2784e19db53.bindPopup(popup_7290a9bb9906dbded1704981cf51eff3)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e842319301f7ebde7ec48451049dc9b7 = L.circleMarker(\n", + " var circle_marker_ab1c29d349642b2421b94e3d964dcffa = L.circleMarker(\n", " [37.73605302291012, -122.42166950005372],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_d808a45173db4226d443199705a63a31 = L.popup({"maxWidth": "100%"});\n", + " var popup_1188ffd23d9c53bc5ca6b2590cf50a94 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d1601c324e5b06bbd82d67af1490f239 = $(`<div id="html_d1601c324e5b06bbd82d67af1490f239" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_d808a45173db4226d443199705a63a31.setContent(html_d1601c324e5b06bbd82d67af1490f239);\n", + " var html_1c0ff7829d35c0446105f44fad9f5480 = $(`<div id="html_1c0ff7829d35c0446105f44fad9f5480" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1188ffd23d9c53bc5ca6b2590cf50a94.setContent(html_1c0ff7829d35c0446105f44fad9f5480);\n", " \n", "\n", - " circle_marker_e842319301f7ebde7ec48451049dc9b7.bindPopup(popup_d808a45173db4226d443199705a63a31)\n", + " circle_marker_ab1c29d349642b2421b94e3d964dcffa.bindPopup(popup_1188ffd23d9c53bc5ca6b2590cf50a94)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_fa8683e86f83d15f9338515640e86a35 = L.circleMarker(\n", + " var circle_marker_fb1e60a4904c4377e19870e50aad2255 = L.circleMarker(\n", " [37.74717190213178, -122.42187930857803],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6e272da199548d4e485f404619d6e73a = L.popup({"maxWidth": "100%"});\n", + " var popup_9ba908f5aeefc364bad34c920f8ac8e8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_aafb9170c16707eb37e722222ca1f9e2 = $(`<div id="html_aafb9170c16707eb37e722222ca1f9e2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6e272da199548d4e485f404619d6e73a.setContent(html_aafb9170c16707eb37e722222ca1f9e2);\n", + " var html_ab2c064a3862cbc14309ec37e2e324a6 = $(`<div id="html_ab2c064a3862cbc14309ec37e2e324a6" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9ba908f5aeefc364bad34c920f8ac8e8.setContent(html_ab2c064a3862cbc14309ec37e2e324a6);\n", " \n", "\n", - " circle_marker_fa8683e86f83d15f9338515640e86a35.bindPopup(popup_6e272da199548d4e485f404619d6e73a)\n", + " circle_marker_fb1e60a4904c4377e19870e50aad2255.bindPopup(popup_9ba908f5aeefc364bad34c920f8ac8e8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e726e7520258088cb390caf2e754291b = L.circleMarker(\n", + " var circle_marker_0f32905bdfc15bdcc80cbb7f9a9f3daa = L.circleMarker(\n", " [37.75537378026224, -122.41111606218875],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6df289980256ccd75356a285f04f56ab = L.popup({"maxWidth": "100%"});\n", + " var popup_6a8a751edc1bc8d6f18fc5a752d890da = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_73925a17af0f7e4e928c3dba7d78135e = $(`<div id="html_73925a17af0f7e4e928c3dba7d78135e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6df289980256ccd75356a285f04f56ab.setContent(html_73925a17af0f7e4e928c3dba7d78135e);\n", + " var html_3c7b417972b8e3a9186df76ed9957f13 = $(`<div id="html_3c7b417972b8e3a9186df76ed9957f13" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_6a8a751edc1bc8d6f18fc5a752d890da.setContent(html_3c7b417972b8e3a9186df76ed9957f13);\n", " \n", "\n", - " circle_marker_e726e7520258088cb390caf2e754291b.bindPopup(popup_6df289980256ccd75356a285f04f56ab)\n", + " circle_marker_0f32905bdfc15bdcc80cbb7f9a9f3daa.bindPopup(popup_6a8a751edc1bc8d6f18fc5a752d890da)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_05459ee73a1acff82fab814cb54cdf06 = L.circleMarker(\n", + " var circle_marker_8862ecb3a56056b2aaa9a239e875c734 = L.circleMarker(\n", " [37.74456173838566, -122.42133239235675],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9f0b2f65472cce2f5daa334175e613c4 = L.popup({"maxWidth": "100%"});\n", + " var popup_1a95f9a50c30f0be934c3c01b76c7b37 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_633631b44d22b1640d6058f11b053144 = $(`<div id="html_633631b44d22b1640d6058f11b053144" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9f0b2f65472cce2f5daa334175e613c4.setContent(html_633631b44d22b1640d6058f11b053144);\n", + " var html_1db8b2bb0bb2ff8f32e82dff1b7210b6 = $(`<div id="html_1db8b2bb0bb2ff8f32e82dff1b7210b6" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1a95f9a50c30f0be934c3c01b76c7b37.setContent(html_1db8b2bb0bb2ff8f32e82dff1b7210b6);\n", " \n", "\n", - " circle_marker_05459ee73a1acff82fab814cb54cdf06.bindPopup(popup_9f0b2f65472cce2f5daa334175e613c4)\n", + " circle_marker_8862ecb3a56056b2aaa9a239e875c734.bindPopup(popup_1a95f9a50c30f0be934c3c01b76c7b37)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f548d2e4e0f94ab7505e170f86feca1a = L.circleMarker(\n", + " var circle_marker_633684176d11d4985b42bbe2cdb95426 = L.circleMarker(\n", " [37.75855610670547, -122.42394850602186],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_477f63f514c7011aaef679466951f39f = L.popup({"maxWidth": "100%"});\n", + " var popup_21b5c06038c50e96b9dc7e93da84a306 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a57d8b0e5f4247ff0ba15979391710f7 = $(`<div id="html_a57d8b0e5f4247ff0ba15979391710f7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_477f63f514c7011aaef679466951f39f.setContent(html_a57d8b0e5f4247ff0ba15979391710f7);\n", + " var html_40690fc6a1b24359457b67b24965a9d0 = $(`<div id="html_40690fc6a1b24359457b67b24965a9d0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_21b5c06038c50e96b9dc7e93da84a306.setContent(html_40690fc6a1b24359457b67b24965a9d0);\n", " \n", "\n", - " circle_marker_f548d2e4e0f94ab7505e170f86feca1a.bindPopup(popup_477f63f514c7011aaef679466951f39f)\n", + " circle_marker_633684176d11d4985b42bbe2cdb95426.bindPopup(popup_21b5c06038c50e96b9dc7e93da84a306)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2e473c2a3b2319d9bde1c2247281668b = L.circleMarker(\n", + " var circle_marker_1696deea8d9a283bb36bd055b226fb79 = L.circleMarker(\n", " [37.75817465417819, -122.40867766046134],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_b2ad1212eb03859c59ba7241b0afa4c5 = L.popup({"maxWidth": "100%"});\n", + " var popup_166e2fdd658fd49f8de697f42628c989 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_1d0a3f8cc1dca46956bebf7adec55a94 = $(`<div id="html_1d0a3f8cc1dca46956bebf7adec55a94" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_b2ad1212eb03859c59ba7241b0afa4c5.setContent(html_1d0a3f8cc1dca46956bebf7adec55a94);\n", + " var html_cbe3770b74ecc398044b516a8d9680be = $(`<div id="html_cbe3770b74ecc398044b516a8d9680be" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_166e2fdd658fd49f8de697f42628c989.setContent(html_cbe3770b74ecc398044b516a8d9680be);\n", " \n", "\n", - " circle_marker_2e473c2a3b2319d9bde1c2247281668b.bindPopup(popup_b2ad1212eb03859c59ba7241b0afa4c5)\n", + " circle_marker_1696deea8d9a283bb36bd055b226fb79.bindPopup(popup_166e2fdd658fd49f8de697f42628c989)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f8a46c62201643f94f64ae7de8e718c6 = L.circleMarker(\n", + " var circle_marker_7a792223580008d9e936ca780896730f = L.circleMarker(\n", " [37.74435235234791, -122.42194819694559],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_639f097cce02336c5104622551bbde65 = L.popup({"maxWidth": "100%"});\n", + " var popup_2bf2d4677b5f08de19dc54e38a9a1602 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2fead024adf76808a95ffcc20d45ec55 = $(`<div id="html_2fead024adf76808a95ffcc20d45ec55" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_639f097cce02336c5104622551bbde65.setContent(html_2fead024adf76808a95ffcc20d45ec55);\n", + " var html_bc87c500c87ff3e615d474dfec494c1d = $(`<div id="html_bc87c500c87ff3e615d474dfec494c1d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_2bf2d4677b5f08de19dc54e38a9a1602.setContent(html_bc87c500c87ff3e615d474dfec494c1d);\n", " \n", "\n", - " circle_marker_f8a46c62201643f94f64ae7de8e718c6.bindPopup(popup_639f097cce02336c5104622551bbde65)\n", + " circle_marker_7a792223580008d9e936ca780896730f.bindPopup(popup_2bf2d4677b5f08de19dc54e38a9a1602)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e3fe3773932852780595de5e6717adc5 = L.circleMarker(\n", + " var circle_marker_0d2395488d6b7fdfca8ef147826eb677 = L.circleMarker(\n", " [37.740893604514234, -122.41356130372293],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_bb1df5128707e6e7ff94016cf78c322b = L.popup({"maxWidth": "100%"});\n", + " var popup_baab4b2c26452c462c3ad6537ac1a24c = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a1ca92f430a9f60ea97d88598fb5af48 = $(`<div id="html_a1ca92f430a9f60ea97d88598fb5af48" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_bb1df5128707e6e7ff94016cf78c322b.setContent(html_a1ca92f430a9f60ea97d88598fb5af48);\n", + " var html_af9f1d75eeda397c11991ae13c00ebd9 = $(`<div id="html_af9f1d75eeda397c11991ae13c00ebd9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_baab4b2c26452c462c3ad6537ac1a24c.setContent(html_af9f1d75eeda397c11991ae13c00ebd9);\n", " \n", "\n", - " circle_marker_e3fe3773932852780595de5e6717adc5.bindPopup(popup_bb1df5128707e6e7ff94016cf78c322b)\n", + " circle_marker_0d2395488d6b7fdfca8ef147826eb677.bindPopup(popup_baab4b2c26452c462c3ad6537ac1a24c)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_96aa863489704f0442b5237c806ad1e2 = L.circleMarker(\n", + " var circle_marker_5f9b7d1c6b5ece8cc3b8b4360255c0ea = L.circleMarker(\n", " [37.7382987149878, -122.4191004858632],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9feee4470eef97707dfb50c1454f398a = L.popup({"maxWidth": "100%"});\n", + " var popup_d2d2187d76df34f7c463206968acc2f5 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_849a87c9145143583daaee79fc27bac5 = $(`<div id="html_849a87c9145143583daaee79fc27bac5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9feee4470eef97707dfb50c1454f398a.setContent(html_849a87c9145143583daaee79fc27bac5);\n", + " var html_7de7614e0a475663ff564cd72bb86d90 = $(`<div id="html_7de7614e0a475663ff564cd72bb86d90" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_d2d2187d76df34f7c463206968acc2f5.setContent(html_7de7614e0a475663ff564cd72bb86d90);\n", " \n", "\n", - " circle_marker_96aa863489704f0442b5237c806ad1e2.bindPopup(popup_9feee4470eef97707dfb50c1454f398a)\n", + " circle_marker_5f9b7d1c6b5ece8cc3b8b4360255c0ea.bindPopup(popup_d2d2187d76df34f7c463206968acc2f5)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ee75a6bf4194d002b4eb9237ae0f6f01 = L.circleMarker(\n", + " var circle_marker_c1bf9901682bfa362548257af53b148e = L.circleMarker(\n", " [37.73307788209335, -122.41682592303474],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_a4408ba79f841f0940d8bf74b227844c = L.popup({"maxWidth": "100%"});\n", + " var popup_cb8c5ec384cafd27c0ca38c26b9716d0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_11e05c498ba5a4cd739697023bbcf09a = $(`<div id="html_11e05c498ba5a4cd739697023bbcf09a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_a4408ba79f841f0940d8bf74b227844c.setContent(html_11e05c498ba5a4cd739697023bbcf09a);\n", + " var html_a917f40e9cfb294fffca223c9b9a1dcd = $(`<div id="html_a917f40e9cfb294fffca223c9b9a1dcd" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_cb8c5ec384cafd27c0ca38c26b9716d0.setContent(html_a917f40e9cfb294fffca223c9b9a1dcd);\n", " \n", "\n", - " circle_marker_ee75a6bf4194d002b4eb9237ae0f6f01.bindPopup(popup_a4408ba79f841f0940d8bf74b227844c)\n", + " circle_marker_c1bf9901682bfa362548257af53b148e.bindPopup(popup_cb8c5ec384cafd27c0ca38c26b9716d0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1268a054d1c9f2eae271134103c478d6 = L.circleMarker(\n", + " var circle_marker_a49590599d61f226648aea2bd70c2968 = L.circleMarker(\n", " [37.742057632289225, -122.41531864893646],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_36a8ae32b5973fbd7e0a71ddaab7966b = L.popup({"maxWidth": "100%"});\n", + " var popup_3f12595d6536367eb69a93f628aaf7aa = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0e22f25700d47eaf4da2606045e0c3aa = $(`<div id="html_0e22f25700d47eaf4da2606045e0c3aa" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_36a8ae32b5973fbd7e0a71ddaab7966b.setContent(html_0e22f25700d47eaf4da2606045e0c3aa);\n", + " var html_78e05fcdc196378a54796225f6414197 = $(`<div id="html_78e05fcdc196378a54796225f6414197" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3f12595d6536367eb69a93f628aaf7aa.setContent(html_78e05fcdc196378a54796225f6414197);\n", " \n", "\n", - " circle_marker_1268a054d1c9f2eae271134103c478d6.bindPopup(popup_36a8ae32b5973fbd7e0a71ddaab7966b)\n", + " circle_marker_a49590599d61f226648aea2bd70c2968.bindPopup(popup_3f12595d6536367eb69a93f628aaf7aa)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_79ea9b998cc12374291a99cee6717b16 = L.circleMarker(\n", + " var circle_marker_a232f17beb225c56eb2ab750a65fc56e = L.circleMarker(\n", " [37.76440867305686, -122.41381831239967],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_5065f1ef9eec651b35af21b9c3dd7e6e = L.popup({"maxWidth": "100%"});\n", + " var popup_127e98876ff327d58f53e39cf811062a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_56501683fae666c263f9a5dd68d9d843 = $(`<div id="html_56501683fae666c263f9a5dd68d9d843" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_5065f1ef9eec651b35af21b9c3dd7e6e.setContent(html_56501683fae666c263f9a5dd68d9d843);\n", + " var html_795d35e3d0e82c8a862cddcd119a0d35 = $(`<div id="html_795d35e3d0e82c8a862cddcd119a0d35" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_127e98876ff327d58f53e39cf811062a.setContent(html_795d35e3d0e82c8a862cddcd119a0d35);\n", " \n", "\n", - " circle_marker_79ea9b998cc12374291a99cee6717b16.bindPopup(popup_5065f1ef9eec651b35af21b9c3dd7e6e)\n", + " circle_marker_a232f17beb225c56eb2ab750a65fc56e.bindPopup(popup_127e98876ff327d58f53e39cf811062a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d8493ef045f3e7f5c2271740274a12c9 = L.circleMarker(\n", + " var circle_marker_8090b6de967c0eba6b92824b6058d302 = L.circleMarker(\n", " [37.74901705715819, -122.41757863525594],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_db316df09dfd91aa533faaa7667a13f3 = L.popup({"maxWidth": "100%"});\n", + " var popup_3e4bdfd4f1e8fa5234154457ea1e18f2 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_88980c56773521896c117653cfd77afd = $(`<div id="html_88980c56773521896c117653cfd77afd" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_db316df09dfd91aa533faaa7667a13f3.setContent(html_88980c56773521896c117653cfd77afd);\n", + " var html_e1bec6623e94c7582d05dcd7a9cddb0c = $(`<div id="html_e1bec6623e94c7582d05dcd7a9cddb0c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3e4bdfd4f1e8fa5234154457ea1e18f2.setContent(html_e1bec6623e94c7582d05dcd7a9cddb0c);\n", " \n", "\n", - " circle_marker_d8493ef045f3e7f5c2271740274a12c9.bindPopup(popup_db316df09dfd91aa533faaa7667a13f3)\n", + " circle_marker_8090b6de967c0eba6b92824b6058d302.bindPopup(popup_3e4bdfd4f1e8fa5234154457ea1e18f2)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b775331aff58f47079d6abd196675251 = L.circleMarker(\n", + " var circle_marker_0441fdf7eb65b1d49fce874fc2fc5338 = L.circleMarker(\n", " [37.75488633070316, -122.41487544794536],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_3dc2a2db9960faf84ede6efbefe03ccf = L.popup({"maxWidth": "100%"});\n", + " var popup_c98cff13f27b8ef2bb74def288c630a8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_156b7ea276a58a9be3a0e5c6492e0adb = $(`<div id="html_156b7ea276a58a9be3a0e5c6492e0adb" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_3dc2a2db9960faf84ede6efbefe03ccf.setContent(html_156b7ea276a58a9be3a0e5c6492e0adb);\n", + " var html_699b8812bc4f9feeea8862b0bf31c972 = $(`<div id="html_699b8812bc4f9feeea8862b0bf31c972" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_c98cff13f27b8ef2bb74def288c630a8.setContent(html_699b8812bc4f9feeea8862b0bf31c972);\n", " \n", "\n", - " circle_marker_b775331aff58f47079d6abd196675251.bindPopup(popup_3dc2a2db9960faf84ede6efbefe03ccf)\n", + " circle_marker_0441fdf7eb65b1d49fce874fc2fc5338.bindPopup(popup_c98cff13f27b8ef2bb74def288c630a8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_38fe0044e6da766135e9bb843088f5dc = L.circleMarker(\n", + " var circle_marker_1e0dbce06d2bd4d2d4936f6c795fc906 = L.circleMarker(\n", " [37.73596321664609, -122.42148375412637],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4c82e4565e731df582011ddff3c3044e = L.popup({"maxWidth": "100%"});\n", + " var popup_58e495246279fb4b8949535390280097 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_9996262ffb57c375d262b34681f7de38 = $(`<div id="html_9996262ffb57c375d262b34681f7de38" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4c82e4565e731df582011ddff3c3044e.setContent(html_9996262ffb57c375d262b34681f7de38);\n", + " var html_8282fb145bbedc4171c48b5096c48d9d = $(`<div id="html_8282fb145bbedc4171c48b5096c48d9d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_58e495246279fb4b8949535390280097.setContent(html_8282fb145bbedc4171c48b5096c48d9d);\n", " \n", "\n", - " circle_marker_38fe0044e6da766135e9bb843088f5dc.bindPopup(popup_4c82e4565e731df582011ddff3c3044e)\n", + " circle_marker_1e0dbce06d2bd4d2d4936f6c795fc906.bindPopup(popup_58e495246279fb4b8949535390280097)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_aa93d2fa5f7de921b971607e2b714772 = L.circleMarker(\n", + " var circle_marker_63adac5978044af1400eff2a542591a1 = L.circleMarker(\n", " [37.764304983194315, -122.41854278041016],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_df07e50390cb32a86c0d2b0670e2fc10 = L.popup({"maxWidth": "100%"});\n", + " var popup_6d1c9353b8353e37687c8542302c35ad = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a989145a4e62b57bf517d8d397fcf2f4 = $(`<div id="html_a989145a4e62b57bf517d8d397fcf2f4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_df07e50390cb32a86c0d2b0670e2fc10.setContent(html_a989145a4e62b57bf517d8d397fcf2f4);\n", + " var html_d4a6f8863b4b321d7329d0b4cfa36038 = $(`<div id="html_d4a6f8863b4b321d7329d0b4cfa36038" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_6d1c9353b8353e37687c8542302c35ad.setContent(html_d4a6f8863b4b321d7329d0b4cfa36038);\n", " \n", "\n", - " circle_marker_aa93d2fa5f7de921b971607e2b714772.bindPopup(popup_df07e50390cb32a86c0d2b0670e2fc10)\n", + " circle_marker_63adac5978044af1400eff2a542591a1.bindPopup(popup_6d1c9353b8353e37687c8542302c35ad)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_afd6f80f4c6417bb6654e841655949ae = L.circleMarker(\n", + " var circle_marker_156c2b1708f9febf74b2b5d1f3130934 = L.circleMarker(\n", " [37.76250964248838, -122.42379568293042],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9faa9b33e6408a7126aeca7afbfaa34e = L.popup({"maxWidth": "100%"});\n", + " var popup_3523c11c7fd582dd196ef338e6d0df5c = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_46f8acfbc2253d446331efa93974b030 = $(`<div id="html_46f8acfbc2253d446331efa93974b030" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9faa9b33e6408a7126aeca7afbfaa34e.setContent(html_46f8acfbc2253d446331efa93974b030);\n", + " var html_17f706eec358c7cb13d168cc751cfa13 = $(`<div id="html_17f706eec358c7cb13d168cc751cfa13" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3523c11c7fd582dd196ef338e6d0df5c.setContent(html_17f706eec358c7cb13d168cc751cfa13);\n", " \n", "\n", - " circle_marker_afd6f80f4c6417bb6654e841655949ae.bindPopup(popup_9faa9b33e6408a7126aeca7afbfaa34e)\n", + " circle_marker_156c2b1708f9febf74b2b5d1f3130934.bindPopup(popup_3523c11c7fd582dd196ef338e6d0df5c)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_41eeeddc45f03b7b0cc428301e7550db = L.circleMarker(\n", + " var circle_marker_d8d8af745c1225fe245db4adc7bed92f = L.circleMarker(\n", " [37.747198302368524, -122.41468049513983],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_331a566b3bb17fe3626e753f8d5df77c = L.popup({"maxWidth": "100%"});\n", + " var popup_4366302903359fac8747ca581f8dc70f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_1ccc7855398e979072576e8e98e28d5d = $(`<div id="html_1ccc7855398e979072576e8e98e28d5d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_331a566b3bb17fe3626e753f8d5df77c.setContent(html_1ccc7855398e979072576e8e98e28d5d);\n", + " var html_167db4eaab3d9ed6c498bc85ccc0ce46 = $(`<div id="html_167db4eaab3d9ed6c498bc85ccc0ce46" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_4366302903359fac8747ca581f8dc70f.setContent(html_167db4eaab3d9ed6c498bc85ccc0ce46);\n", " \n", "\n", - " circle_marker_41eeeddc45f03b7b0cc428301e7550db.bindPopup(popup_331a566b3bb17fe3626e753f8d5df77c)\n", + " circle_marker_d8d8af745c1225fe245db4adc7bed92f.bindPopup(popup_4366302903359fac8747ca581f8dc70f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_79827b88415ca07a60a830dd0d211742 = L.circleMarker(\n", + " var circle_marker_3cec806d8dd39f2325b924ab8d61d771 = L.circleMarker(\n", " [37.74725626848265, -122.40603654972017],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_1de16b6db75bffa0fbf50a3b2adadefa = L.popup({"maxWidth": "100%"});\n", + " var popup_622f9ca847b41144015b70465c785489 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2388079cefbee9891b366eaf6eef4dd2 = $(`<div id="html_2388079cefbee9891b366eaf6eef4dd2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_1de16b6db75bffa0fbf50a3b2adadefa.setContent(html_2388079cefbee9891b366eaf6eef4dd2);\n", + " var html_ced194ca7aa35f15aefebb1a7d383923 = $(`<div id="html_ced194ca7aa35f15aefebb1a7d383923" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_622f9ca847b41144015b70465c785489.setContent(html_ced194ca7aa35f15aefebb1a7d383923);\n", " \n", "\n", - " circle_marker_79827b88415ca07a60a830dd0d211742.bindPopup(popup_1de16b6db75bffa0fbf50a3b2adadefa)\n", + " circle_marker_3cec806d8dd39f2325b924ab8d61d771.bindPopup(popup_622f9ca847b41144015b70465c785489)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8e554585eec1a16bcce258502553a4d9 = L.circleMarker(\n", + " var circle_marker_581f92c1dcbec8be98e49427dec9dcbd = L.circleMarker(\n", " [37.745215819217684, -122.41007117187876],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9a299a6ccb4f0060323fbd09bdb0e907 = L.popup({"maxWidth": "100%"});\n", + " var popup_78ce0d5e28881687c0076b2704b7e118 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6e7b1601d333ba3946b5a978dd6ca51d = $(`<div id="html_6e7b1601d333ba3946b5a978dd6ca51d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9a299a6ccb4f0060323fbd09bdb0e907.setContent(html_6e7b1601d333ba3946b5a978dd6ca51d);\n", + " var html_ba5b3d91c0284aa9d31d1db8e921bc33 = $(`<div id="html_ba5b3d91c0284aa9d31d1db8e921bc33" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_78ce0d5e28881687c0076b2704b7e118.setContent(html_ba5b3d91c0284aa9d31d1db8e921bc33);\n", " \n", "\n", - " circle_marker_8e554585eec1a16bcce258502553a4d9.bindPopup(popup_9a299a6ccb4f0060323fbd09bdb0e907)\n", + " circle_marker_581f92c1dcbec8be98e49427dec9dcbd.bindPopup(popup_78ce0d5e28881687c0076b2704b7e118)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4c4265452a038f8b9f51438d1ac0023e = L.circleMarker(\n", + " var circle_marker_43ead973119e93aac4790cc56b3410e2 = L.circleMarker(\n", " [37.75518197689151, -122.40547424149503],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_809d8bf83254ceae92574429c67bee4f = L.popup({"maxWidth": "100%"});\n", + " var popup_3490801baae024eb5a6fb94957c7b6a7 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ae2180b761bf1823c2f0c93f59adca94 = $(`<div id="html_ae2180b761bf1823c2f0c93f59adca94" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_809d8bf83254ceae92574429c67bee4f.setContent(html_ae2180b761bf1823c2f0c93f59adca94);\n", + " var html_176c8561bf3182241f88def48dbcdff4 = $(`<div id="html_176c8561bf3182241f88def48dbcdff4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3490801baae024eb5a6fb94957c7b6a7.setContent(html_176c8561bf3182241f88def48dbcdff4);\n", " \n", "\n", - " circle_marker_4c4265452a038f8b9f51438d1ac0023e.bindPopup(popup_809d8bf83254ceae92574429c67bee4f)\n", + " circle_marker_43ead973119e93aac4790cc56b3410e2.bindPopup(popup_3490801baae024eb5a6fb94957c7b6a7)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7812dfe4dd59f129c7b66939ee0ddf48 = L.circleMarker(\n", + " var circle_marker_2f7f28b36f30ea2a4d30b4743913896b = L.circleMarker(\n", " [37.742773768312524, -122.41069845878158],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_86a3ac22d6f4a1ec53b38c45b80317ef = L.popup({"maxWidth": "100%"});\n", + " var popup_28e087a371cb2b04cf9938ac24fcc7a7 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_323a7759916a7038af102cf0486e6baf = $(`<div id="html_323a7759916a7038af102cf0486e6baf" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_86a3ac22d6f4a1ec53b38c45b80317ef.setContent(html_323a7759916a7038af102cf0486e6baf);\n", + " var html_8be47fb549d46b547893cec07bf55bfe = $(`<div id="html_8be47fb549d46b547893cec07bf55bfe" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_28e087a371cb2b04cf9938ac24fcc7a7.setContent(html_8be47fb549d46b547893cec07bf55bfe);\n", " \n", "\n", - " circle_marker_7812dfe4dd59f129c7b66939ee0ddf48.bindPopup(popup_86a3ac22d6f4a1ec53b38c45b80317ef)\n", + " circle_marker_2f7f28b36f30ea2a4d30b4743913896b.bindPopup(popup_28e087a371cb2b04cf9938ac24fcc7a7)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1f16bc9bb72a204072ffb14a80c1b447 = L.circleMarker(\n", + " var circle_marker_9632fdf541388c751848bff3c87fff04 = L.circleMarker(\n", " [37.75333381902695, -122.40923776500622],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_8735d54d0de5f8215899b32a94ba092e = L.popup({"maxWidth": "100%"});\n", + " var popup_3479e700c53d5fca8f575e8c1d74235d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_74029a7999987ebb9632b14d6fc7fa05 = $(`<div id="html_74029a7999987ebb9632b14d6fc7fa05" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_8735d54d0de5f8215899b32a94ba092e.setContent(html_74029a7999987ebb9632b14d6fc7fa05);\n", + " var html_e018a14128febb724ab02cc91105c359 = $(`<div id="html_e018a14128febb724ab02cc91105c359" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3479e700c53d5fca8f575e8c1d74235d.setContent(html_e018a14128febb724ab02cc91105c359);\n", " \n", "\n", - " circle_marker_1f16bc9bb72a204072ffb14a80c1b447.bindPopup(popup_8735d54d0de5f8215899b32a94ba092e)\n", + " circle_marker_9632fdf541388c751848bff3c87fff04.bindPopup(popup_3479e700c53d5fca8f575e8c1d74235d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2a2c23ddd835f67f8bd77a9ea8b70f22 = L.circleMarker(\n", + " var circle_marker_e81e0d214a33e7feb45b1f41158d6ab1 = L.circleMarker(\n", " [37.737048133592474, -122.42244404189351],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_ef7fb2b3f3f4f00f8097bad38d88aeb2 = L.popup({"maxWidth": "100%"});\n", + " var popup_d86b69558ac4ddfe9727d1d6603ebd65 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_403707ec98e1fb8d3fa0aa10672a33a8 = $(`<div id="html_403707ec98e1fb8d3fa0aa10672a33a8" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_ef7fb2b3f3f4f00f8097bad38d88aeb2.setContent(html_403707ec98e1fb8d3fa0aa10672a33a8);\n", + " var html_3a885ae9301edfa4e26b953b16fb0a2b = $(`<div id="html_3a885ae9301edfa4e26b953b16fb0a2b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_d86b69558ac4ddfe9727d1d6603ebd65.setContent(html_3a885ae9301edfa4e26b953b16fb0a2b);\n", " \n", "\n", - " circle_marker_2a2c23ddd835f67f8bd77a9ea8b70f22.bindPopup(popup_ef7fb2b3f3f4f00f8097bad38d88aeb2)\n", + " circle_marker_e81e0d214a33e7feb45b1f41158d6ab1.bindPopup(popup_d86b69558ac4ddfe9727d1d6603ebd65)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_753437e93e62331f338e8cd7e588b585 = L.circleMarker(\n", + " var circle_marker_c95d3a58976281e3884b6ea2e01ea0fe = L.circleMarker(\n", " [37.76439953782074, -122.40822541947725],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_b32f5427a0f994ecbf26c5727f49ff37 = L.popup({"maxWidth": "100%"});\n", + " var popup_e89c4f8c47196c8eb5ee9011fab3bceb = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f15cacd4081c75c64ceca1cb1473eca1 = $(`<div id="html_f15cacd4081c75c64ceca1cb1473eca1" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_b32f5427a0f994ecbf26c5727f49ff37.setContent(html_f15cacd4081c75c64ceca1cb1473eca1);\n", + " var html_d1dc1c3abe1635c8eee66223e34e9046 = $(`<div id="html_d1dc1c3abe1635c8eee66223e34e9046" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_e89c4f8c47196c8eb5ee9011fab3bceb.setContent(html_d1dc1c3abe1635c8eee66223e34e9046);\n", " \n", "\n", - " circle_marker_753437e93e62331f338e8cd7e588b585.bindPopup(popup_b32f5427a0f994ecbf26c5727f49ff37)\n", + " circle_marker_c95d3a58976281e3884b6ea2e01ea0fe.bindPopup(popup_e89c4f8c47196c8eb5ee9011fab3bceb)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_40e2689b1bd085cdac58b7490b9b9641 = L.circleMarker(\n", + " var circle_marker_d338e48297e575b77d234af5a694fe00 = L.circleMarker(\n", " [37.751790025694, -122.41686980413054],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c639cb4a6692ed7411f72cbc37007e14 = L.popup({"maxWidth": "100%"});\n", + " var popup_9d70256c2a002691dae2198b428cb0bd = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_b4f924be8272353c4fcb768122c4d937 = $(`<div id="html_b4f924be8272353c4fcb768122c4d937" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c639cb4a6692ed7411f72cbc37007e14.setContent(html_b4f924be8272353c4fcb768122c4d937);\n", + " var html_ece977728bed1eba94fc45cdecc596c8 = $(`<div id="html_ece977728bed1eba94fc45cdecc596c8" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9d70256c2a002691dae2198b428cb0bd.setContent(html_ece977728bed1eba94fc45cdecc596c8);\n", " \n", "\n", - " circle_marker_40e2689b1bd085cdac58b7490b9b9641.bindPopup(popup_c639cb4a6692ed7411f72cbc37007e14)\n", + " circle_marker_d338e48297e575b77d234af5a694fe00.bindPopup(popup_9d70256c2a002691dae2198b428cb0bd)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f30a8bb019b270b677a0b4df82fa4a88 = L.circleMarker(\n", + " var circle_marker_3d5d3c1ae30d35482def8c603bbab5b8 = L.circleMarker(\n", " [37.74720898883046, -122.406658040105],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_12015af84322eb24a390942998f342a0 = L.popup({"maxWidth": "100%"});\n", + " var popup_28e2b337091e57c1aaa9dc1e9e8d32ec = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ea6e183c7e6c14e47ef5f504c979bf80 = $(`<div id="html_ea6e183c7e6c14e47ef5f504c979bf80" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_12015af84322eb24a390942998f342a0.setContent(html_ea6e183c7e6c14e47ef5f504c979bf80);\n", + " var html_498cb94b353e1384f05a5de3097eebd7 = $(`<div id="html_498cb94b353e1384f05a5de3097eebd7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_28e2b337091e57c1aaa9dc1e9e8d32ec.setContent(html_498cb94b353e1384f05a5de3097eebd7);\n", " \n", "\n", - " circle_marker_f30a8bb019b270b677a0b4df82fa4a88.bindPopup(popup_12015af84322eb24a390942998f342a0)\n", + " circle_marker_3d5d3c1ae30d35482def8c603bbab5b8.bindPopup(popup_28e2b337091e57c1aaa9dc1e9e8d32ec)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bd7031696b9783c9981abe61dab26bfb = L.circleMarker(\n", + " var circle_marker_95afbc7cec1ce8b7f5e1db053f0f4aba = L.circleMarker(\n", " [37.75126832579771, -122.40425189587008],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_ca305749eea4646ab4149c5623edebad = L.popup({"maxWidth": "100%"});\n", + " var popup_a7ee26623587afaeb41def702d78d1a0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_43e0b63564bbcf39deb1188be557c7bd = $(`<div id="html_43e0b63564bbcf39deb1188be557c7bd" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_ca305749eea4646ab4149c5623edebad.setContent(html_43e0b63564bbcf39deb1188be557c7bd);\n", + " var html_9632d8a044332561ac8c7980cebe31f3 = $(`<div id="html_9632d8a044332561ac8c7980cebe31f3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a7ee26623587afaeb41def702d78d1a0.setContent(html_9632d8a044332561ac8c7980cebe31f3);\n", " \n", "\n", - " circle_marker_bd7031696b9783c9981abe61dab26bfb.bindPopup(popup_ca305749eea4646ab4149c5623edebad)\n", + " circle_marker_95afbc7cec1ce8b7f5e1db053f0f4aba.bindPopup(popup_a7ee26623587afaeb41def702d78d1a0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_3dfb1c7b5ca88376d5b48722720665f0 = L.circleMarker(\n", + " var circle_marker_a5f6b6e37f95c774ab4d06e7539f3d8a = L.circleMarker(\n", " [37.762676079668196, -122.40760247546336],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_7bf565bce09f27070a2c5809a94838fd = L.popup({"maxWidth": "100%"});\n", + " var popup_7370c451b39e404be04c5329d88aa4e4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6543cb03c501d4709feb4ffc20844a3f = $(`<div id="html_6543cb03c501d4709feb4ffc20844a3f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_7bf565bce09f27070a2c5809a94838fd.setContent(html_6543cb03c501d4709feb4ffc20844a3f);\n", + " var html_50874e1ea689f5188da971dddf706e2d = $(`<div id="html_50874e1ea689f5188da971dddf706e2d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_7370c451b39e404be04c5329d88aa4e4.setContent(html_50874e1ea689f5188da971dddf706e2d);\n", " \n", "\n", - " circle_marker_3dfb1c7b5ca88376d5b48722720665f0.bindPopup(popup_7bf565bce09f27070a2c5809a94838fd)\n", + " circle_marker_a5f6b6e37f95c774ab4d06e7539f3d8a.bindPopup(popup_7370c451b39e404be04c5329d88aa4e4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a429c076f88ea506bb0b68f44cfdb507 = L.circleMarker(\n", + " var circle_marker_fc555e3a05e7039e3c87dcf62a6d2f6d = L.circleMarker(\n", " [37.7451955764892, -122.41250587149135],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4dd619ea42eb21191f98bf96f410e9c8 = L.popup({"maxWidth": "100%"});\n", + " var popup_46f7492f07c868f2dbe82041a0b8209e = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_3e1fde37be7c9d41323e3b473eeb6328 = $(`<div id="html_3e1fde37be7c9d41323e3b473eeb6328" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4dd619ea42eb21191f98bf96f410e9c8.setContent(html_3e1fde37be7c9d41323e3b473eeb6328);\n", + " var html_9f07e4e40c85dad714ce98e9b8c29a0a = $(`<div id="html_9f07e4e40c85dad714ce98e9b8c29a0a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_46f7492f07c868f2dbe82041a0b8209e.setContent(html_9f07e4e40c85dad714ce98e9b8c29a0a);\n", " \n", "\n", - " circle_marker_a429c076f88ea506bb0b68f44cfdb507.bindPopup(popup_4dd619ea42eb21191f98bf96f410e9c8)\n", + " circle_marker_fc555e3a05e7039e3c87dcf62a6d2f6d.bindPopup(popup_46f7492f07c868f2dbe82041a0b8209e)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7b45614b40d00e0e0015446659261687 = L.circleMarker(\n", + " var circle_marker_4d5c9be36a21d198f4714b984b2c86fc = L.circleMarker(\n", " [37.760627863987054, -122.42196706998658],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9f6f28037a65075d77e48517855b95f8 = L.popup({"maxWidth": "100%"});\n", + " var popup_ab5570cac2f133fa3b43a2043aa60617 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_538a910987e548e1e21394e958083181 = $(`<div id="html_538a910987e548e1e21394e958083181" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9f6f28037a65075d77e48517855b95f8.setContent(html_538a910987e548e1e21394e958083181);\n", + " var html_b43ef3baf016c62ed19e99a3259d666e = $(`<div id="html_b43ef3baf016c62ed19e99a3259d666e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ab5570cac2f133fa3b43a2043aa60617.setContent(html_b43ef3baf016c62ed19e99a3259d666e);\n", " \n", "\n", - " circle_marker_7b45614b40d00e0e0015446659261687.bindPopup(popup_9f6f28037a65075d77e48517855b95f8)\n", + " circle_marker_4d5c9be36a21d198f4714b984b2c86fc.bindPopup(popup_ab5570cac2f133fa3b43a2043aa60617)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4d50349226d289e5bbc17403a6e61303 = L.circleMarker(\n", + " var circle_marker_6db4a76725d53aa6238659d313f873f3 = L.circleMarker(\n", " [37.743766497582506, -122.41949619370845],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_3d825f3554dad29f8677534ca1c9ad15 = L.popup({"maxWidth": "100%"});\n", + " var popup_07572a9248326d49025dd93b08f627e5 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d4ea5b919a9ec24eaf19a7aadf897aee = $(`<div id="html_d4ea5b919a9ec24eaf19a7aadf897aee" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_3d825f3554dad29f8677534ca1c9ad15.setContent(html_d4ea5b919a9ec24eaf19a7aadf897aee);\n", + " var html_30b63a0b459fb9c28b683ff8170ddb69 = $(`<div id="html_30b63a0b459fb9c28b683ff8170ddb69" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_07572a9248326d49025dd93b08f627e5.setContent(html_30b63a0b459fb9c28b683ff8170ddb69);\n", " \n", "\n", - " circle_marker_4d50349226d289e5bbc17403a6e61303.bindPopup(popup_3d825f3554dad29f8677534ca1c9ad15)\n", + " circle_marker_6db4a76725d53aa6238659d313f873f3.bindPopup(popup_07572a9248326d49025dd93b08f627e5)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_479716b435d2dbf3de0069048f307d20 = L.circleMarker(\n", + " var circle_marker_43f7ab5e0a3921fe6e5488d24311b6b3 = L.circleMarker(\n", " [37.76337637245978, -122.41832341219747],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_38a1367831a79b448c4b47f2cfa81c1b = L.popup({"maxWidth": "100%"});\n", + " var popup_932b6b4b30c81426e82c0fd618815262 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_647d3498caeda360b938f95afbc0196f = $(`<div id="html_647d3498caeda360b938f95afbc0196f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_38a1367831a79b448c4b47f2cfa81c1b.setContent(html_647d3498caeda360b938f95afbc0196f);\n", + " var html_a29197b719a3bce94d56c6c67ea6fbc6 = $(`<div id="html_a29197b719a3bce94d56c6c67ea6fbc6" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_932b6b4b30c81426e82c0fd618815262.setContent(html_a29197b719a3bce94d56c6c67ea6fbc6);\n", " \n", "\n", - " circle_marker_479716b435d2dbf3de0069048f307d20.bindPopup(popup_38a1367831a79b448c4b47f2cfa81c1b)\n", + " circle_marker_43f7ab5e0a3921fe6e5488d24311b6b3.bindPopup(popup_932b6b4b30c81426e82c0fd618815262)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_6bf46479cf7267ac67e29a2abc9b0695 = L.circleMarker(\n", + " var circle_marker_02a975b3c8461893657761b5f5d86179 = L.circleMarker(\n", " [37.763924686918585, -122.42603224084327],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_0eb6d002a760cb3d1ac1824f297f5d2f = L.popup({"maxWidth": "100%"});\n", + " var popup_fac597e931ca93b745e654f3a44b63e7 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_99e204abbec5109062cbd317ad6712eb = $(`<div id="html_99e204abbec5109062cbd317ad6712eb" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_0eb6d002a760cb3d1ac1824f297f5d2f.setContent(html_99e204abbec5109062cbd317ad6712eb);\n", + " var html_a99f1c265bebf916b19e590578edbf23 = $(`<div id="html_a99f1c265bebf916b19e590578edbf23" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_fac597e931ca93b745e654f3a44b63e7.setContent(html_a99f1c265bebf916b19e590578edbf23);\n", " \n", "\n", - " circle_marker_6bf46479cf7267ac67e29a2abc9b0695.bindPopup(popup_0eb6d002a760cb3d1ac1824f297f5d2f)\n", + " circle_marker_02a975b3c8461893657761b5f5d86179.bindPopup(popup_fac597e931ca93b745e654f3a44b63e7)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_22def2404474fa601e79860397c1f713 = L.circleMarker(\n", + " var circle_marker_9ce9ba56c165291b2a81416b62c32754 = L.circleMarker(\n", " [37.747104153769286, -122.40635735111336],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_900111b3fb492abb0c4150bc7da55aba = L.popup({"maxWidth": "100%"});\n", + " var popup_ac3ba35c4aecf124daf3e0ae9191d02d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ff2bb2c6f94288c6886f34a461de7190 = $(`<div id="html_ff2bb2c6f94288c6886f34a461de7190" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_900111b3fb492abb0c4150bc7da55aba.setContent(html_ff2bb2c6f94288c6886f34a461de7190);\n", + " var html_3b6e300803be41524454ca6914ee129b = $(`<div id="html_3b6e300803be41524454ca6914ee129b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ac3ba35c4aecf124daf3e0ae9191d02d.setContent(html_3b6e300803be41524454ca6914ee129b);\n", " \n", "\n", - " circle_marker_22def2404474fa601e79860397c1f713.bindPopup(popup_900111b3fb492abb0c4150bc7da55aba)\n", + " circle_marker_9ce9ba56c165291b2a81416b62c32754.bindPopup(popup_ac3ba35c4aecf124daf3e0ae9191d02d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_64eba16876ddf3a4e00e05e2be814817 = L.circleMarker(\n", + " var circle_marker_dc190c951c3fc5dc6e96928962c2b751 = L.circleMarker(\n", " [37.73952102093955, -122.42022883226554],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_b87a2a028ed26349464960fe4e0518f0 = L.popup({"maxWidth": "100%"});\n", + " var popup_3687cdfe303a066ea71fc67788b004a0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0c7c5fdee9242e81dbd2c751207ffaa3 = $(`<div id="html_0c7c5fdee9242e81dbd2c751207ffaa3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_b87a2a028ed26349464960fe4e0518f0.setContent(html_0c7c5fdee9242e81dbd2c751207ffaa3);\n", + " var html_3e80e137a34f6b28faf86f029fb49ba5 = $(`<div id="html_3e80e137a34f6b28faf86f029fb49ba5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3687cdfe303a066ea71fc67788b004a0.setContent(html_3e80e137a34f6b28faf86f029fb49ba5);\n", " \n", "\n", - " circle_marker_64eba16876ddf3a4e00e05e2be814817.bindPopup(popup_b87a2a028ed26349464960fe4e0518f0)\n", + " circle_marker_dc190c951c3fc5dc6e96928962c2b751.bindPopup(popup_3687cdfe303a066ea71fc67788b004a0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f2baedb45f820394071f2246ded6e704 = L.circleMarker(\n", + " var circle_marker_747f3fd51239abcd22374eedbc81ee5f = L.circleMarker(\n", " [37.740221292002616, -122.42292601164742],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_813083dfe0a9bddbd519a6d15beb0127 = L.popup({"maxWidth": "100%"});\n", + " var popup_5bee35b17928c951131799b1af39706f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_766aa58baea5eba1393ccac7f42e6c8d = $(`<div id="html_766aa58baea5eba1393ccac7f42e6c8d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_813083dfe0a9bddbd519a6d15beb0127.setContent(html_766aa58baea5eba1393ccac7f42e6c8d);\n", + " var html_0ff249e5b8e43851404840ac27b1ad00 = $(`<div id="html_0ff249e5b8e43851404840ac27b1ad00" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_5bee35b17928c951131799b1af39706f.setContent(html_0ff249e5b8e43851404840ac27b1ad00);\n", " \n", "\n", - " circle_marker_f2baedb45f820394071f2246ded6e704.bindPopup(popup_813083dfe0a9bddbd519a6d15beb0127)\n", + " circle_marker_747f3fd51239abcd22374eedbc81ee5f.bindPopup(popup_5bee35b17928c951131799b1af39706f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ba2e98ac544055e78810c4736080d8c3 = L.circleMarker(\n", + " var circle_marker_0f17db31f2edff427a57ae9380e6ba42 = L.circleMarker(\n", " [37.7319622165618, -122.42522875251106],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_e46041b96937e1ed243cd720721a6897 = L.popup({"maxWidth": "100%"});\n", + " var popup_ddf41e117d58eba94d9e37531b7da936 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_553b242ac4f4196d8050d0ca9ab01cda = $(`<div id="html_553b242ac4f4196d8050d0ca9ab01cda" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_e46041b96937e1ed243cd720721a6897.setContent(html_553b242ac4f4196d8050d0ca9ab01cda);\n", + " var html_57a5a38871bd0b0697896e035738a6e3 = $(`<div id="html_57a5a38871bd0b0697896e035738a6e3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ddf41e117d58eba94d9e37531b7da936.setContent(html_57a5a38871bd0b0697896e035738a6e3);\n", " \n", "\n", - " circle_marker_ba2e98ac544055e78810c4736080d8c3.bindPopup(popup_e46041b96937e1ed243cd720721a6897)\n", + " circle_marker_0f17db31f2edff427a57ae9380e6ba42.bindPopup(popup_ddf41e117d58eba94d9e37531b7da936)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bf3d09989af57ffda0d326f9bf67b696 = L.circleMarker(\n", + " var circle_marker_f8f26dc1b81457a149f3b2d661a8fa49 = L.circleMarker(\n", " [37.73713086318324, -122.41812421353865],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_0b797d323540f74ba555f1666c52964e = L.popup({"maxWidth": "100%"});\n", + " var popup_56e4dbc7b746cbefb1d92b474430d3d4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_837442445f6e9e8827a874a2a777a180 = $(`<div id="html_837442445f6e9e8827a874a2a777a180" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_0b797d323540f74ba555f1666c52964e.setContent(html_837442445f6e9e8827a874a2a777a180);\n", + " var html_f39ed4dcce66c7841a2866cb51f1c5b7 = $(`<div id="html_f39ed4dcce66c7841a2866cb51f1c5b7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_56e4dbc7b746cbefb1d92b474430d3d4.setContent(html_f39ed4dcce66c7841a2866cb51f1c5b7);\n", " \n", "\n", - " circle_marker_bf3d09989af57ffda0d326f9bf67b696.bindPopup(popup_0b797d323540f74ba555f1666c52964e)\n", + " circle_marker_f8f26dc1b81457a149f3b2d661a8fa49.bindPopup(popup_56e4dbc7b746cbefb1d92b474430d3d4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_dffce871cfcba47459ea294e164d8d62 = L.circleMarker(\n", + " var circle_marker_0aa7a7606907c4c97652fb45cf6ac22f = L.circleMarker(\n", " [37.7483419775086, -122.41225380452875],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4068a9cf5a087d9733cfc75d25250b3d = L.popup({"maxWidth": "100%"});\n", + " var popup_ed174f081f3655dc4e6a83fdd3452066 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_404631bde07e129f3c478de552575b1c = $(`<div id="html_404631bde07e129f3c478de552575b1c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4068a9cf5a087d9733cfc75d25250b3d.setContent(html_404631bde07e129f3c478de552575b1c);\n", + " var html_d6bf46f1c7c7940db9cb4f7be0884f6c = $(`<div id="html_d6bf46f1c7c7940db9cb4f7be0884f6c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ed174f081f3655dc4e6a83fdd3452066.setContent(html_d6bf46f1c7c7940db9cb4f7be0884f6c);\n", " \n", "\n", - " circle_marker_dffce871cfcba47459ea294e164d8d62.bindPopup(popup_4068a9cf5a087d9733cfc75d25250b3d)\n", + " circle_marker_0aa7a7606907c4c97652fb45cf6ac22f.bindPopup(popup_ed174f081f3655dc4e6a83fdd3452066)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_559fb80e75638df0557c32e42c0d15de = L.circleMarker(\n", + " var circle_marker_6f0cc66477be9fe2b77f8fc8f04c8191 = L.circleMarker(\n", " [37.74142707173661, -122.40856166069446],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_99657ace17af4a4df8c2734089757338 = L.popup({"maxWidth": "100%"});\n", + " var popup_c78f07fe4ae04cf19f1d734bda0fad09 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_3e7cc3baccbfcef5eee59fbca6b6ef48 = $(`<div id="html_3e7cc3baccbfcef5eee59fbca6b6ef48" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_99657ace17af4a4df8c2734089757338.setContent(html_3e7cc3baccbfcef5eee59fbca6b6ef48);\n", + " var html_c4d13c70eea8a9cd07cdd06be95d6367 = $(`<div id="html_c4d13c70eea8a9cd07cdd06be95d6367" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_c78f07fe4ae04cf19f1d734bda0fad09.setContent(html_c4d13c70eea8a9cd07cdd06be95d6367);\n", " \n", "\n", - " circle_marker_559fb80e75638df0557c32e42c0d15de.bindPopup(popup_99657ace17af4a4df8c2734089757338)\n", + " circle_marker_6f0cc66477be9fe2b77f8fc8f04c8191.bindPopup(popup_c78f07fe4ae04cf19f1d734bda0fad09)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c6cbab629584b6a82a36f7f4ff474715 = L.circleMarker(\n", + " var circle_marker_51565a664fad7210c98b124def6e4a4f = L.circleMarker(\n", " [37.75423945656585, -122.42240830574532],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_d6b3a29dfb1c673bda4569daac20aad0 = L.popup({"maxWidth": "100%"});\n", + " var popup_d6f73d8d0c38f55b54cb2e19b01de021 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_9c649bcf2933e1106f861bdce2652611 = $(`<div id="html_9c649bcf2933e1106f861bdce2652611" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_d6b3a29dfb1c673bda4569daac20aad0.setContent(html_9c649bcf2933e1106f861bdce2652611);\n", + " var html_60d1ff9cecf113f53d845d0011c4c485 = $(`<div id="html_60d1ff9cecf113f53d845d0011c4c485" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_d6f73d8d0c38f55b54cb2e19b01de021.setContent(html_60d1ff9cecf113f53d845d0011c4c485);\n", " \n", "\n", - " circle_marker_c6cbab629584b6a82a36f7f4ff474715.bindPopup(popup_d6b3a29dfb1c673bda4569daac20aad0)\n", + " circle_marker_51565a664fad7210c98b124def6e4a4f.bindPopup(popup_d6f73d8d0c38f55b54cb2e19b01de021)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e47949adc8314d0d394d752e425b2f3f = L.circleMarker(\n", + " var circle_marker_f77aea62fb256bbf6b650e1760b41146 = L.circleMarker(\n", " [37.75435434305817, -122.42228960924437],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_dcb03cc7ff9253fccdce7ad6698ae940 = L.popup({"maxWidth": "100%"});\n", + " var popup_90feb03b6b0d53ff9209e7a6412cecca = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_33bad317028e0db3caab159d4d03462f = $(`<div id="html_33bad317028e0db3caab159d4d03462f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_dcb03cc7ff9253fccdce7ad6698ae940.setContent(html_33bad317028e0db3caab159d4d03462f);\n", + " var html_7aa97e01dc0c45760bb8af4b8765c868 = $(`<div id="html_7aa97e01dc0c45760bb8af4b8765c868" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_90feb03b6b0d53ff9209e7a6412cecca.setContent(html_7aa97e01dc0c45760bb8af4b8765c868);\n", " \n", "\n", - " circle_marker_e47949adc8314d0d394d752e425b2f3f.bindPopup(popup_dcb03cc7ff9253fccdce7ad6698ae940)\n", + " circle_marker_f77aea62fb256bbf6b650e1760b41146.bindPopup(popup_90feb03b6b0d53ff9209e7a6412cecca)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_78538bc7e86cd1a30f9f3f83b4fbbe39 = L.circleMarker(\n", + " var circle_marker_b521f02a1dff9e98227b761e9ec0ecfa = L.circleMarker(\n", " [37.746074199675945, -122.41535766353438],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9a810ecbd9e583138fe1e00ca46568d0 = L.popup({"maxWidth": "100%"});\n", + " var popup_f94cc40f9506bd35203902c5eb1fadcf = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_211a76884646c87375830144ad215df0 = $(`<div id="html_211a76884646c87375830144ad215df0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9a810ecbd9e583138fe1e00ca46568d0.setContent(html_211a76884646c87375830144ad215df0);\n", + " var html_5100a2c4a2fe682b1b0d16f45f6a326c = $(`<div id="html_5100a2c4a2fe682b1b0d16f45f6a326c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_f94cc40f9506bd35203902c5eb1fadcf.setContent(html_5100a2c4a2fe682b1b0d16f45f6a326c);\n", " \n", "\n", - " circle_marker_78538bc7e86cd1a30f9f3f83b4fbbe39.bindPopup(popup_9a810ecbd9e583138fe1e00ca46568d0)\n", + " circle_marker_b521f02a1dff9e98227b761e9ec0ecfa.bindPopup(popup_f94cc40f9506bd35203902c5eb1fadcf)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_09e3db679dbdb50603e8335067536fb5 = L.circleMarker(\n", + " var circle_marker_e5f96d33725396c3190ab782c7b27d52 = L.circleMarker(\n", " [37.741380940454206, -122.41440239836186],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_bde2613d092ef1ded67eba769fb5134b = L.popup({"maxWidth": "100%"});\n", + " var popup_b2ac81e5b759b8f62c617e6bb60bef97 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_121c0ad3f5f401fa44ba3cf35b3e3dd1 = $(`<div id="html_121c0ad3f5f401fa44ba3cf35b3e3dd1" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_bde2613d092ef1ded67eba769fb5134b.setContent(html_121c0ad3f5f401fa44ba3cf35b3e3dd1);\n", + " var html_ed58e3106e893bb6801504bb31483bf2 = $(`<div id="html_ed58e3106e893bb6801504bb31483bf2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b2ac81e5b759b8f62c617e6bb60bef97.setContent(html_ed58e3106e893bb6801504bb31483bf2);\n", " \n", "\n", - " circle_marker_09e3db679dbdb50603e8335067536fb5.bindPopup(popup_bde2613d092ef1ded67eba769fb5134b)\n", + " circle_marker_e5f96d33725396c3190ab782c7b27d52.bindPopup(popup_b2ac81e5b759b8f62c617e6bb60bef97)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8cb361ced7705f868a7614c6764fd524 = L.circleMarker(\n", + " var circle_marker_b11f7cce07eaf6eed2e8f1d9e6eebf9d = L.circleMarker(\n", " [37.74575801806093, -122.4105207768065],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_fb1df8dd5e3637897c862edeb4d44ac3 = L.popup({"maxWidth": "100%"});\n", + " var popup_3507d99ad5e1fa37e21e8478911e2221 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_c446ed69b8f2f927b5d6aa727f4dc54b = $(`<div id="html_c446ed69b8f2f927b5d6aa727f4dc54b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_fb1df8dd5e3637897c862edeb4d44ac3.setContent(html_c446ed69b8f2f927b5d6aa727f4dc54b);\n", + " var html_a71375380d530465ed4bd18e70c5e7ab = $(`<div id="html_a71375380d530465ed4bd18e70c5e7ab" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3507d99ad5e1fa37e21e8478911e2221.setContent(html_a71375380d530465ed4bd18e70c5e7ab);\n", " \n", "\n", - " circle_marker_8cb361ced7705f868a7614c6764fd524.bindPopup(popup_fb1df8dd5e3637897c862edeb4d44ac3)\n", + " circle_marker_b11f7cce07eaf6eed2e8f1d9e6eebf9d.bindPopup(popup_3507d99ad5e1fa37e21e8478911e2221)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_39290b0c234b30e40a69cd73d2c39f66 = L.circleMarker(\n", + " var circle_marker_d371f98660411ebab7bf232bcbd8fbd5 = L.circleMarker(\n", " [37.759929842009704, -122.41936389765623],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_7d0a78c47b4bf74f2037ce3d073f91d5 = L.popup({"maxWidth": "100%"});\n", + " var popup_dd2f81edb6b7f69a9c2461fcb08b61b4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2b1a20095d49fab5b3c69a2cef4a9d1f = $(`<div id="html_2b1a20095d49fab5b3c69a2cef4a9d1f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_7d0a78c47b4bf74f2037ce3d073f91d5.setContent(html_2b1a20095d49fab5b3c69a2cef4a9d1f);\n", + " var html_4fa42b8d8e4332ea8ad7933ad1c8fb10 = $(`<div id="html_4fa42b8d8e4332ea8ad7933ad1c8fb10" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_dd2f81edb6b7f69a9c2461fcb08b61b4.setContent(html_4fa42b8d8e4332ea8ad7933ad1c8fb10);\n", " \n", "\n", - " circle_marker_39290b0c234b30e40a69cd73d2c39f66.bindPopup(popup_7d0a78c47b4bf74f2037ce3d073f91d5)\n", + " circle_marker_d371f98660411ebab7bf232bcbd8fbd5.bindPopup(popup_dd2f81edb6b7f69a9c2461fcb08b61b4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_261cea6d47f461fcc24956a193da84b5 = L.circleMarker(\n", + " var circle_marker_ace71516fd5eee78132ce5bb511c3501 = L.circleMarker(\n", " [37.74348609136638, -122.42263298457125],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f6a0039bfb584387b7fa263ac720cc6f = L.popup({"maxWidth": "100%"});\n", + " var popup_16c522573984e516eda60d1d7988e52f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_4d491fe54ee8747c3d0502710570a162 = $(`<div id="html_4d491fe54ee8747c3d0502710570a162" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f6a0039bfb584387b7fa263ac720cc6f.setContent(html_4d491fe54ee8747c3d0502710570a162);\n", + " var html_a63ce952601678477c8f31ea234f7513 = $(`<div id="html_a63ce952601678477c8f31ea234f7513" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_16c522573984e516eda60d1d7988e52f.setContent(html_a63ce952601678477c8f31ea234f7513);\n", " \n", "\n", - " circle_marker_261cea6d47f461fcc24956a193da84b5.bindPopup(popup_f6a0039bfb584387b7fa263ac720cc6f)\n", + " circle_marker_ace71516fd5eee78132ce5bb511c3501.bindPopup(popup_16c522573984e516eda60d1d7988e52f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_61d5ec948e781eb2be4a42bb6df77c4a = L.circleMarker(\n", + " var circle_marker_37ca5f75ea70c062f82c10b65ffcca07 = L.circleMarker(\n", " [37.76530111041392, -122.40775071665323],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_7e3fcc38258cc13137f430c3333bc59d = L.popup({"maxWidth": "100%"});\n", + " var popup_4aa17ab82ab24515cb3072df2f0f9e0b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_3f67df9395bc0b20c460da411ee07ff3 = $(`<div id="html_3f67df9395bc0b20c460da411ee07ff3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_7e3fcc38258cc13137f430c3333bc59d.setContent(html_3f67df9395bc0b20c460da411ee07ff3);\n", + " var html_5ae0670623c0bc88fc605da3d5dfd23f = $(`<div id="html_5ae0670623c0bc88fc605da3d5dfd23f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_4aa17ab82ab24515cb3072df2f0f9e0b.setContent(html_5ae0670623c0bc88fc605da3d5dfd23f);\n", " \n", "\n", - " circle_marker_61d5ec948e781eb2be4a42bb6df77c4a.bindPopup(popup_7e3fcc38258cc13137f430c3333bc59d)\n", + " circle_marker_37ca5f75ea70c062f82c10b65ffcca07.bindPopup(popup_4aa17ab82ab24515cb3072df2f0f9e0b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_76471a59e40776603d57ba71b57c4101 = L.circleMarker(\n", + " var circle_marker_1245b6df12535d183b55a5f694f8bdd9 = L.circleMarker(\n", " [37.7351770739924, -122.42220382143077],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_ddc3313a85e731f8d6cad5cf59815bed = L.popup({"maxWidth": "100%"});\n", + " var popup_0e7b550dc6b5ce9cb96e9eaa46c83ca6 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e459aa3cac5915bf042368fab419cecb = $(`<div id="html_e459aa3cac5915bf042368fab419cecb" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_ddc3313a85e731f8d6cad5cf59815bed.setContent(html_e459aa3cac5915bf042368fab419cecb);\n", + " var html_5ffd163f56911d9f943a4f0ff14e3202 = $(`<div id="html_5ffd163f56911d9f943a4f0ff14e3202" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_0e7b550dc6b5ce9cb96e9eaa46c83ca6.setContent(html_5ffd163f56911d9f943a4f0ff14e3202);\n", " \n", "\n", - " circle_marker_76471a59e40776603d57ba71b57c4101.bindPopup(popup_ddc3313a85e731f8d6cad5cf59815bed)\n", + " circle_marker_1245b6df12535d183b55a5f694f8bdd9.bindPopup(popup_0e7b550dc6b5ce9cb96e9eaa46c83ca6)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b0c875a7916c27e6850aba1fa8b556bf = L.circleMarker(\n", + " var circle_marker_223ea77b5d6534a0a71e126e4504b54d = L.circleMarker(\n", " [37.761747153832005, -122.4099039982627],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_796c4918735379774dcd422af6fe28fc = L.popup({"maxWidth": "100%"});\n", + " var popup_ed55f87a4f84eb7887e550d21e211986 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_02edb6896badd7874b3074f70731c248 = $(`<div id="html_02edb6896badd7874b3074f70731c248" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_796c4918735379774dcd422af6fe28fc.setContent(html_02edb6896badd7874b3074f70731c248);\n", + " var html_1b8c35958e284dcbcca1ba878d7f0c70 = $(`<div id="html_1b8c35958e284dcbcca1ba878d7f0c70" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ed55f87a4f84eb7887e550d21e211986.setContent(html_1b8c35958e284dcbcca1ba878d7f0c70);\n", " \n", "\n", - " circle_marker_b0c875a7916c27e6850aba1fa8b556bf.bindPopup(popup_796c4918735379774dcd422af6fe28fc)\n", + " circle_marker_223ea77b5d6534a0a71e126e4504b54d.bindPopup(popup_ed55f87a4f84eb7887e550d21e211986)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a037afdf88bf169431d7e821f46e2a65 = L.circleMarker(\n", + " var circle_marker_f6eb4d6707537d0463812fa07034303c = L.circleMarker(\n", " [37.744531940576856, -122.42161560269948],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_73d601b2b50f6e391e3233349d464ee4 = L.popup({"maxWidth": "100%"});\n", + " var popup_1766c99052a1677edcfa9093563e5d79 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ce93ffaa66e7d0d6869bbed76f84dd47 = $(`<div id="html_ce93ffaa66e7d0d6869bbed76f84dd47" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_73d601b2b50f6e391e3233349d464ee4.setContent(html_ce93ffaa66e7d0d6869bbed76f84dd47);\n", + " var html_a7954dd0ee839de6bea98b87eaa74493 = $(`<div id="html_a7954dd0ee839de6bea98b87eaa74493" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1766c99052a1677edcfa9093563e5d79.setContent(html_a7954dd0ee839de6bea98b87eaa74493);\n", " \n", "\n", - " circle_marker_a037afdf88bf169431d7e821f46e2a65.bindPopup(popup_73d601b2b50f6e391e3233349d464ee4)\n", + " circle_marker_f6eb4d6707537d0463812fa07034303c.bindPopup(popup_1766c99052a1677edcfa9093563e5d79)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7cee36844b02198d91a8c8ee624c32fa = L.circleMarker(\n", + " var circle_marker_7591ea8bd60f093e3567f0644ca822a5 = L.circleMarker(\n", " [37.75719450024423, -122.41901248673905],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_8d8d6dfaee6b69acc3ec065e81fbaaaa = L.popup({"maxWidth": "100%"});\n", + " var popup_3abcb432a6210b650b8bc5cc0e609cd6 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d1dd91182778822023bf527de9430b6e = $(`<div id="html_d1dd91182778822023bf527de9430b6e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_8d8d6dfaee6b69acc3ec065e81fbaaaa.setContent(html_d1dd91182778822023bf527de9430b6e);\n", + " var html_a5ffe77bcf84732a3329e9e0baa7ac96 = $(`<div id="html_a5ffe77bcf84732a3329e9e0baa7ac96" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3abcb432a6210b650b8bc5cc0e609cd6.setContent(html_a5ffe77bcf84732a3329e9e0baa7ac96);\n", " \n", "\n", - " circle_marker_7cee36844b02198d91a8c8ee624c32fa.bindPopup(popup_8d8d6dfaee6b69acc3ec065e81fbaaaa)\n", + " circle_marker_7591ea8bd60f093e3567f0644ca822a5.bindPopup(popup_3abcb432a6210b650b8bc5cc0e609cd6)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ab4a159238b1bac594c36e6bba84b2ea = L.circleMarker(\n", + " var circle_marker_33e6e43deea6f27e0b60062facabe566 = L.circleMarker(\n", " [37.73743562493618, -122.42250059810968],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_905e759cf81cc9bdb647b8602345be4f = L.popup({"maxWidth": "100%"});\n", + " var popup_3646d3844fb2de504c969ef08e5e5a25 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e0dd605a72a15e97f4b8bce43665ec89 = $(`<div id="html_e0dd605a72a15e97f4b8bce43665ec89" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_905e759cf81cc9bdb647b8602345be4f.setContent(html_e0dd605a72a15e97f4b8bce43665ec89);\n", + " var html_4cd24c13de23c9b809905a76c38fe787 = $(`<div id="html_4cd24c13de23c9b809905a76c38fe787" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3646d3844fb2de504c969ef08e5e5a25.setContent(html_4cd24c13de23c9b809905a76c38fe787);\n", " \n", "\n", - " circle_marker_ab4a159238b1bac594c36e6bba84b2ea.bindPopup(popup_905e759cf81cc9bdb647b8602345be4f)\n", + " circle_marker_33e6e43deea6f27e0b60062facabe566.bindPopup(popup_3646d3844fb2de504c969ef08e5e5a25)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_43e978e30466ab3bf9523e97b312be65 = L.circleMarker(\n", + " var circle_marker_430dfee8ca7a5e67fe69ad9b84eb1c05 = L.circleMarker(\n", " [37.74197743401586, -122.41709590262614],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_a281833463dfc15e1f242a198c77e67f = L.popup({"maxWidth": "100%"});\n", + " var popup_fce3dd428169c2d09b9432f114b07d51 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_82ef9628ac708472038a726fb71cbaf7 = $(`<div id="html_82ef9628ac708472038a726fb71cbaf7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_a281833463dfc15e1f242a198c77e67f.setContent(html_82ef9628ac708472038a726fb71cbaf7);\n", + " var html_1187f4c8ccd7877d789068f0a8f18fff = $(`<div id="html_1187f4c8ccd7877d789068f0a8f18fff" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_fce3dd428169c2d09b9432f114b07d51.setContent(html_1187f4c8ccd7877d789068f0a8f18fff);\n", " \n", "\n", - " circle_marker_43e978e30466ab3bf9523e97b312be65.bindPopup(popup_a281833463dfc15e1f242a198c77e67f)\n", + " circle_marker_430dfee8ca7a5e67fe69ad9b84eb1c05.bindPopup(popup_fce3dd428169c2d09b9432f114b07d51)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_3b0d2aa1ff3c762347c73e22b71b81f6 = L.circleMarker(\n", + " var circle_marker_2d87a06337302a509dbcdeb56dea8f04 = L.circleMarker(\n", " [37.73969218205738, -122.40713168279156],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6c0eab08995e9486f8e2031a84345073 = L.popup({"maxWidth": "100%"});\n", + " var popup_70bfcc0b14b9a3f0a9e3b3c12610b193 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_af0c97d64e8bd6923523cdaeae6733f0 = $(`<div id="html_af0c97d64e8bd6923523cdaeae6733f0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6c0eab08995e9486f8e2031a84345073.setContent(html_af0c97d64e8bd6923523cdaeae6733f0);\n", + " var html_be708c09d3e4e3ee7ffa033cd68ef53e = $(`<div id="html_be708c09d3e4e3ee7ffa033cd68ef53e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_70bfcc0b14b9a3f0a9e3b3c12610b193.setContent(html_be708c09d3e4e3ee7ffa033cd68ef53e);\n", " \n", "\n", - " circle_marker_3b0d2aa1ff3c762347c73e22b71b81f6.bindPopup(popup_6c0eab08995e9486f8e2031a84345073)\n", + " circle_marker_2d87a06337302a509dbcdeb56dea8f04.bindPopup(popup_70bfcc0b14b9a3f0a9e3b3c12610b193)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_29047697930bd5ec7ffc06eb8a184288 = L.circleMarker(\n", + " var circle_marker_99b4758386339cffc9e8129d1e7b3f55 = L.circleMarker(\n", " [37.763831603122455, -122.41573893502441],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_b4c6c9ea5963b4e987312c1c14013d69 = L.popup({"maxWidth": "100%"});\n", + " var popup_6a27f8958c7a21fdfae97f6174df5312 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_48f99b42bd948c43c6a283214ebfc488 = $(`<div id="html_48f99b42bd948c43c6a283214ebfc488" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_b4c6c9ea5963b4e987312c1c14013d69.setContent(html_48f99b42bd948c43c6a283214ebfc488);\n", + " var html_4b02f9e989018e013a910c3c385b69fd = $(`<div id="html_4b02f9e989018e013a910c3c385b69fd" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_6a27f8958c7a21fdfae97f6174df5312.setContent(html_4b02f9e989018e013a910c3c385b69fd);\n", " \n", "\n", - " circle_marker_29047697930bd5ec7ffc06eb8a184288.bindPopup(popup_b4c6c9ea5963b4e987312c1c14013d69)\n", + " circle_marker_99b4758386339cffc9e8129d1e7b3f55.bindPopup(popup_6a27f8958c7a21fdfae97f6174df5312)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d669e98d268cda4f4bac9353599d543f = L.circleMarker(\n", + " var circle_marker_82f3b4dbe046dacdf0899406e69d4f70 = L.circleMarker(\n", " [37.761252927558274, -122.41237555483644],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c3fa1b538d07bbaac254d183fe50b995 = L.popup({"maxWidth": "100%"});\n", + " var popup_a50019239656bc6b4dffb4ef748bd467 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_025b5a24a70b16ff844d8ad8a87f0022 = $(`<div id="html_025b5a24a70b16ff844d8ad8a87f0022" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c3fa1b538d07bbaac254d183fe50b995.setContent(html_025b5a24a70b16ff844d8ad8a87f0022);\n", + " var html_fd9b29e5585af320897bd8b066fb1745 = $(`<div id="html_fd9b29e5585af320897bd8b066fb1745" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a50019239656bc6b4dffb4ef748bd467.setContent(html_fd9b29e5585af320897bd8b066fb1745);\n", " \n", "\n", - " circle_marker_d669e98d268cda4f4bac9353599d543f.bindPopup(popup_c3fa1b538d07bbaac254d183fe50b995)\n", + " circle_marker_82f3b4dbe046dacdf0899406e69d4f70.bindPopup(popup_a50019239656bc6b4dffb4ef748bd467)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ad1ffccf73b326e089724e9824f9a0b1 = L.circleMarker(\n", + " var circle_marker_0850ac60074c4395e590ceb22d7cb924 = L.circleMarker(\n", " [37.75726219498988, -122.40455000117886],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4d99e936aeab82cfb52522b7bf601d31 = L.popup({"maxWidth": "100%"});\n", + " var popup_436cac94c99283b2a0b912eccb64fbec = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2728435bd4a364c0887bed9b475ac5a4 = $(`<div id="html_2728435bd4a364c0887bed9b475ac5a4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4d99e936aeab82cfb52522b7bf601d31.setContent(html_2728435bd4a364c0887bed9b475ac5a4);\n", + " var html_f55fdc1d9f5558516419ae3cc31a1620 = $(`<div id="html_f55fdc1d9f5558516419ae3cc31a1620" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_436cac94c99283b2a0b912eccb64fbec.setContent(html_f55fdc1d9f5558516419ae3cc31a1620);\n", " \n", "\n", - " circle_marker_ad1ffccf73b326e089724e9824f9a0b1.bindPopup(popup_4d99e936aeab82cfb52522b7bf601d31)\n", + " circle_marker_0850ac60074c4395e590ceb22d7cb924.bindPopup(popup_436cac94c99283b2a0b912eccb64fbec)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0ed4d3969f42f172dabb016086d4bba3 = L.circleMarker(\n", + " var circle_marker_2bec07a8df5cacee945eb8ff0c3e2c03 = L.circleMarker(\n", " [37.76470088472506, -122.41069965976091],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_febb29d2fdb887378ac4f1d79cd8218e = L.popup({"maxWidth": "100%"});\n", + " var popup_a45753d15ebea794e6569b5b3c2b100a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d26a9ba93ec58379c4dfc7f83d7cdbf9 = $(`<div id="html_d26a9ba93ec58379c4dfc7f83d7cdbf9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_febb29d2fdb887378ac4f1d79cd8218e.setContent(html_d26a9ba93ec58379c4dfc7f83d7cdbf9);\n", + " var html_99712c0aa61bd49d68cb665e70b57a46 = $(`<div id="html_99712c0aa61bd49d68cb665e70b57a46" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a45753d15ebea794e6569b5b3c2b100a.setContent(html_99712c0aa61bd49d68cb665e70b57a46);\n", " \n", "\n", - " circle_marker_0ed4d3969f42f172dabb016086d4bba3.bindPopup(popup_febb29d2fdb887378ac4f1d79cd8218e)\n", + " circle_marker_2bec07a8df5cacee945eb8ff0c3e2c03.bindPopup(popup_a45753d15ebea794e6569b5b3c2b100a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2f4efe9ad02a479a15dbcb861fbc8c46 = L.circleMarker(\n", + " var circle_marker_c3eba0b1c864041756fe57d4639e2149 = L.circleMarker(\n", " [37.752239826552106, -122.42522276992155],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_fe7457d4a5577daca27a3ba8b567f01c = L.popup({"maxWidth": "100%"});\n", + " var popup_b903b99c17902a6fa44c7711f7d1335e = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_fde244feb3a3ec8060bdae3ae6f623ef = $(`<div id="html_fde244feb3a3ec8060bdae3ae6f623ef" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_fe7457d4a5577daca27a3ba8b567f01c.setContent(html_fde244feb3a3ec8060bdae3ae6f623ef);\n", + " var html_45247b5982c31d56c742c972f62758ff = $(`<div id="html_45247b5982c31d56c742c972f62758ff" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b903b99c17902a6fa44c7711f7d1335e.setContent(html_45247b5982c31d56c742c972f62758ff);\n", " \n", "\n", - " circle_marker_2f4efe9ad02a479a15dbcb861fbc8c46.bindPopup(popup_fe7457d4a5577daca27a3ba8b567f01c)\n", + " circle_marker_c3eba0b1c864041756fe57d4639e2149.bindPopup(popup_b903b99c17902a6fa44c7711f7d1335e)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4dcdbf82cafd82552aa77d101e44695e = L.circleMarker(\n", + " var circle_marker_2fdce50c1bd8a7eec804f8c50fd65c0b = L.circleMarker(\n", " [37.7622151757651, -122.41879495724017],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_191af73a951f60c8673b7c902c6f7c85 = L.popup({"maxWidth": "100%"});\n", + " var popup_ee1cb6b769bde4df4451c262c5998394 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_76ac93b45a0f2420646f2b3c5e6ad3cf = $(`<div id="html_76ac93b45a0f2420646f2b3c5e6ad3cf" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_191af73a951f60c8673b7c902c6f7c85.setContent(html_76ac93b45a0f2420646f2b3c5e6ad3cf);\n", + " var html_32fe9f817dd0d065b0bf5d98e08447d8 = $(`<div id="html_32fe9f817dd0d065b0bf5d98e08447d8" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ee1cb6b769bde4df4451c262c5998394.setContent(html_32fe9f817dd0d065b0bf5d98e08447d8);\n", " \n", "\n", - " circle_marker_4dcdbf82cafd82552aa77d101e44695e.bindPopup(popup_191af73a951f60c8673b7c902c6f7c85)\n", + " circle_marker_2fdce50c1bd8a7eec804f8c50fd65c0b.bindPopup(popup_ee1cb6b769bde4df4451c262c5998394)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c7f427a471b169ad8f4ca571cd2acbde = L.circleMarker(\n", + " var circle_marker_2759609cd16f341245afa180c4be4dbe = L.circleMarker(\n", " [37.750279714112374, -122.40384503936752],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_1d0b54ce9b0597fc789c12be661741be = L.popup({"maxWidth": "100%"});\n", + " var popup_c71103beb571e1108fdae99600bed135 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ef6e87d980f2b7bb3558ed254c969424 = $(`<div id="html_ef6e87d980f2b7bb3558ed254c969424" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_1d0b54ce9b0597fc789c12be661741be.setContent(html_ef6e87d980f2b7bb3558ed254c969424);\n", + " var html_860decd12534b5d40582dc47bcc96937 = $(`<div id="html_860decd12534b5d40582dc47bcc96937" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_c71103beb571e1108fdae99600bed135.setContent(html_860decd12534b5d40582dc47bcc96937);\n", " \n", "\n", - " circle_marker_c7f427a471b169ad8f4ca571cd2acbde.bindPopup(popup_1d0b54ce9b0597fc789c12be661741be)\n", + " circle_marker_2759609cd16f341245afa180c4be4dbe.bindPopup(popup_c71103beb571e1108fdae99600bed135)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_5703c5bc942c0ab1dab8841207d45130 = L.circleMarker(\n", + " var circle_marker_d295d82b4e85afcca348605469f56c9a = L.circleMarker(\n", " [37.75183270738175, -122.42155460884847],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4aa4100b52b3e283b89a4a66ce0da295 = L.popup({"maxWidth": "100%"});\n", + " var popup_b99aa1ffc83970b20dde83e45c56bb94 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_8e1bb16eb05e5cb500d0c34bab917925 = $(`<div id="html_8e1bb16eb05e5cb500d0c34bab917925" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4aa4100b52b3e283b89a4a66ce0da295.setContent(html_8e1bb16eb05e5cb500d0c34bab917925);\n", + " var html_a5569237626d165c36cbca7db6c9f9b2 = $(`<div id="html_a5569237626d165c36cbca7db6c9f9b2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b99aa1ffc83970b20dde83e45c56bb94.setContent(html_a5569237626d165c36cbca7db6c9f9b2);\n", " \n", "\n", - " circle_marker_5703c5bc942c0ab1dab8841207d45130.bindPopup(popup_4aa4100b52b3e283b89a4a66ce0da295)\n", + " circle_marker_d295d82b4e85afcca348605469f56c9a.bindPopup(popup_b99aa1ffc83970b20dde83e45c56bb94)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_40295acaf5fa2e7e39a4a5775ef22d38 = L.circleMarker(\n", + " var circle_marker_30582d8ba07af14df6f727470ad66fbc = L.circleMarker(\n", " [37.74547980362818, -122.40566037184043],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_333f58252931bc71212b6cb94a488572 = L.popup({"maxWidth": "100%"});\n", + " var popup_518ddc53f3db30744be3a47c024d576d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_62d0834e59cc4d0983757f51703cecde = $(`<div id="html_62d0834e59cc4d0983757f51703cecde" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_333f58252931bc71212b6cb94a488572.setContent(html_62d0834e59cc4d0983757f51703cecde);\n", + " var html_14e2ccb7a2ea0ad2d4009b30a372aa1c = $(`<div id="html_14e2ccb7a2ea0ad2d4009b30a372aa1c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_518ddc53f3db30744be3a47c024d576d.setContent(html_14e2ccb7a2ea0ad2d4009b30a372aa1c);\n", " \n", "\n", - " circle_marker_40295acaf5fa2e7e39a4a5775ef22d38.bindPopup(popup_333f58252931bc71212b6cb94a488572)\n", + " circle_marker_30582d8ba07af14df6f727470ad66fbc.bindPopup(popup_518ddc53f3db30744be3a47c024d576d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1adba43797ac6750e9b9ba479c3f6fc1 = L.circleMarker(\n", + " var circle_marker_62832dece5cf429d9b1e8928046c6be2 = L.circleMarker(\n", " [37.74085356398497, -122.41446908756086],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6e8f65a630844ea539c10d35d65d783f = L.popup({"maxWidth": "100%"});\n", + " var popup_9c9ff31216ff40372e2f409a78799b98 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a9c05ba254bd273a1cfe3013bda56f36 = $(`<div id="html_a9c05ba254bd273a1cfe3013bda56f36" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6e8f65a630844ea539c10d35d65d783f.setContent(html_a9c05ba254bd273a1cfe3013bda56f36);\n", + " var html_9f446ba22cc31f7233bb6b4789e8225f = $(`<div id="html_9f446ba22cc31f7233bb6b4789e8225f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9c9ff31216ff40372e2f409a78799b98.setContent(html_9f446ba22cc31f7233bb6b4789e8225f);\n", " \n", "\n", - " circle_marker_1adba43797ac6750e9b9ba479c3f6fc1.bindPopup(popup_6e8f65a630844ea539c10d35d65d783f)\n", + " circle_marker_62832dece5cf429d9b1e8928046c6be2.bindPopup(popup_9c9ff31216ff40372e2f409a78799b98)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8ede70c5e3da623f8f092b3e2f880a0a = L.circleMarker(\n", + " var circle_marker_6743d2ba5a10a01cc1b51132e55119d6 = L.circleMarker(\n", " [37.745307885159676, -122.41693866931666],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_47908b96ee9bbf77d550bb5249d58a48 = L.popup({"maxWidth": "100%"});\n", + " var popup_38582f8d61b485204c3188a65351b42f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f1aac3eeb7f94e42da4c7ea660506950 = $(`<div id="html_f1aac3eeb7f94e42da4c7ea660506950" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_47908b96ee9bbf77d550bb5249d58a48.setContent(html_f1aac3eeb7f94e42da4c7ea660506950);\n", + " var html_4523e0d16d6f3afb88f7fb7121d1246f = $(`<div id="html_4523e0d16d6f3afb88f7fb7121d1246f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_38582f8d61b485204c3188a65351b42f.setContent(html_4523e0d16d6f3afb88f7fb7121d1246f);\n", " \n", "\n", - " circle_marker_8ede70c5e3da623f8f092b3e2f880a0a.bindPopup(popup_47908b96ee9bbf77d550bb5249d58a48)\n", + " circle_marker_6743d2ba5a10a01cc1b51132e55119d6.bindPopup(popup_38582f8d61b485204c3188a65351b42f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_88d259c6cf5a9c6a2c3fa1386054a2e4 = L.circleMarker(\n", + " var circle_marker_f5e5dc6d96f8fa591a9e1a3842f964e1 = L.circleMarker(\n", " [37.74887491191325, -122.42222954548635],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4232495d3365a58c20db17186334248a = L.popup({"maxWidth": "100%"});\n", + " var popup_a307e07583b09175c3643ca2e8a9b78a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f0413e3335955014222e724a2bf9106f = $(`<div id="html_f0413e3335955014222e724a2bf9106f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4232495d3365a58c20db17186334248a.setContent(html_f0413e3335955014222e724a2bf9106f);\n", + " var html_bffe38f2d7b9f82250f61120e4b58826 = $(`<div id="html_bffe38f2d7b9f82250f61120e4b58826" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a307e07583b09175c3643ca2e8a9b78a.setContent(html_bffe38f2d7b9f82250f61120e4b58826);\n", " \n", "\n", - " circle_marker_88d259c6cf5a9c6a2c3fa1386054a2e4.bindPopup(popup_4232495d3365a58c20db17186334248a)\n", + " circle_marker_f5e5dc6d96f8fa591a9e1a3842f964e1.bindPopup(popup_a307e07583b09175c3643ca2e8a9b78a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8f6c31e7133aeb9a2570d121ca1daede = L.circleMarker(\n", + " var circle_marker_ecbd4889752441b63e6831ee0b935f4b = L.circleMarker(\n", " [37.74432569801819, -122.42064590761126],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_70980a4d4949b2d365b09e9fe3511c58 = L.popup({"maxWidth": "100%"});\n", + " var popup_00e77d434f73fb9d4c3bbe3c5b66a52b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_797606129a992ef78e03bf469ad0322d = $(`<div id="html_797606129a992ef78e03bf469ad0322d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_70980a4d4949b2d365b09e9fe3511c58.setContent(html_797606129a992ef78e03bf469ad0322d);\n", + " var html_9b149b82063e4d1668bef6880e6de893 = $(`<div id="html_9b149b82063e4d1668bef6880e6de893" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_00e77d434f73fb9d4c3bbe3c5b66a52b.setContent(html_9b149b82063e4d1668bef6880e6de893);\n", " \n", "\n", - " circle_marker_8f6c31e7133aeb9a2570d121ca1daede.bindPopup(popup_70980a4d4949b2d365b09e9fe3511c58)\n", + " circle_marker_ecbd4889752441b63e6831ee0b935f4b.bindPopup(popup_00e77d434f73fb9d4c3bbe3c5b66a52b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ea2c6c16a53fba541680ad197575f59e = L.circleMarker(\n", + " var circle_marker_2ed48e98855780096b7d2f927571c7b4 = L.circleMarker(\n", " [37.75725637834527, -122.41516185537776],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_e747057a4714c19624b866bb940af33f = L.popup({"maxWidth": "100%"});\n", + " var popup_e3a211450082ac46bb83482cecfbbf55 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ad31a7de692169f0cc96d930609d88a0 = $(`<div id="html_ad31a7de692169f0cc96d930609d88a0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_e747057a4714c19624b866bb940af33f.setContent(html_ad31a7de692169f0cc96d930609d88a0);\n", + " var html_8362e3cb28521fdfe65555e311ff87db = $(`<div id="html_8362e3cb28521fdfe65555e311ff87db" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_e3a211450082ac46bb83482cecfbbf55.setContent(html_8362e3cb28521fdfe65555e311ff87db);\n", " \n", "\n", - " circle_marker_ea2c6c16a53fba541680ad197575f59e.bindPopup(popup_e747057a4714c19624b866bb940af33f)\n", + " circle_marker_2ed48e98855780096b7d2f927571c7b4.bindPopup(popup_e3a211450082ac46bb83482cecfbbf55)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_3ea0beadb7047dfb4d8c18d41b22f02e = L.circleMarker(\n", + " var circle_marker_da1a71bd70d8fe82887ef70a4a8e3520 = L.circleMarker(\n", " [37.76320058943922, -122.42005488320424],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_04b3b26a2438ae2cb0e2776ea8c52b0a = L.popup({"maxWidth": "100%"});\n", + " var popup_c9fcc70ea0e2a6cd6cd9d7b1b16040b8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_457ce16269049e185502928814f65f63 = $(`<div id="html_457ce16269049e185502928814f65f63" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_04b3b26a2438ae2cb0e2776ea8c52b0a.setContent(html_457ce16269049e185502928814f65f63);\n", + " var html_c06eafa41cf4e1ecd3488cecbf4a5af8 = $(`<div id="html_c06eafa41cf4e1ecd3488cecbf4a5af8" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_c9fcc70ea0e2a6cd6cd9d7b1b16040b8.setContent(html_c06eafa41cf4e1ecd3488cecbf4a5af8);\n", " \n", "\n", - " circle_marker_3ea0beadb7047dfb4d8c18d41b22f02e.bindPopup(popup_04b3b26a2438ae2cb0e2776ea8c52b0a)\n", + " circle_marker_da1a71bd70d8fe82887ef70a4a8e3520.bindPopup(popup_c9fcc70ea0e2a6cd6cd9d7b1b16040b8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2f1f1269915546ee2a36726cf5ad19ba = L.circleMarker(\n", + " var circle_marker_0731aa87ea748eaa4ea78df5df858613 = L.circleMarker(\n", " [37.74682924903755, -122.42209591165009],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_fc65989714a32f0edcdd7eec9d061512 = L.popup({"maxWidth": "100%"});\n", + " var popup_576cfb54ed2dcb2e228183065a178a7a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_16b8492d8ef939a8360284e7f6bed122 = $(`<div id="html_16b8492d8ef939a8360284e7f6bed122" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_fc65989714a32f0edcdd7eec9d061512.setContent(html_16b8492d8ef939a8360284e7f6bed122);\n", + " var html_22dbc6cbfaf668ca7cf63c1f96286607 = $(`<div id="html_22dbc6cbfaf668ca7cf63c1f96286607" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_576cfb54ed2dcb2e228183065a178a7a.setContent(html_22dbc6cbfaf668ca7cf63c1f96286607);\n", " \n", "\n", - " circle_marker_2f1f1269915546ee2a36726cf5ad19ba.bindPopup(popup_fc65989714a32f0edcdd7eec9d061512)\n", + " circle_marker_0731aa87ea748eaa4ea78df5df858613.bindPopup(popup_576cfb54ed2dcb2e228183065a178a7a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_37255bc657ce0b7a37bad813a38e772d = L.circleMarker(\n", + " var circle_marker_43227b357012b42bfee1040c7b33212c = L.circleMarker(\n", " [37.754856259950174, -122.40966406763532],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c69db7b1571b5f62d5c064bb057fa8c0 = L.popup({"maxWidth": "100%"});\n", + " var popup_7788de6299aed14ff65cb602d680d6c4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_91018e3c3142ab1a485d1f8c6e7a4fb2 = $(`<div id="html_91018e3c3142ab1a485d1f8c6e7a4fb2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c69db7b1571b5f62d5c064bb057fa8c0.setContent(html_91018e3c3142ab1a485d1f8c6e7a4fb2);\n", + " var html_853046fb5ae07429a6e479556af46f8a = $(`<div id="html_853046fb5ae07429a6e479556af46f8a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_7788de6299aed14ff65cb602d680d6c4.setContent(html_853046fb5ae07429a6e479556af46f8a);\n", " \n", "\n", - " circle_marker_37255bc657ce0b7a37bad813a38e772d.bindPopup(popup_c69db7b1571b5f62d5c064bb057fa8c0)\n", + " circle_marker_43227b357012b42bfee1040c7b33212c.bindPopup(popup_7788de6299aed14ff65cb602d680d6c4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b95d02fe5520097a79a2255611b524ba = L.circleMarker(\n", + " var circle_marker_502f325eab86b78124ecd4e89800b8cd = L.circleMarker(\n", " [37.75588417673643, -122.41267234354358],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_ca0719fb116bb631d9fabee68594346d = L.popup({"maxWidth": "100%"});\n", + " var popup_fbcbe211239380c7034e2da6d20c4d36 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d0a308f19d4e3ba1c596e5f43c07b19b = $(`<div id="html_d0a308f19d4e3ba1c596e5f43c07b19b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_ca0719fb116bb631d9fabee68594346d.setContent(html_d0a308f19d4e3ba1c596e5f43c07b19b);\n", + " var html_42988ce74b1ac4be8d7df924f31e608e = $(`<div id="html_42988ce74b1ac4be8d7df924f31e608e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_fbcbe211239380c7034e2da6d20c4d36.setContent(html_42988ce74b1ac4be8d7df924f31e608e);\n", " \n", "\n", - " circle_marker_b95d02fe5520097a79a2255611b524ba.bindPopup(popup_ca0719fb116bb631d9fabee68594346d)\n", + " circle_marker_502f325eab86b78124ecd4e89800b8cd.bindPopup(popup_fbcbe211239380c7034e2da6d20c4d36)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_fd287c08b755747a30bb6f2ab99b89d9 = L.circleMarker(\n", + " var circle_marker_cb77ba629205bf232cbe0612090a3f44 = L.circleMarker(\n", " [37.743252477037885, -122.42334097025606],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_1a2072077861b1a3f0a1148aed9f775f = L.popup({"maxWidth": "100%"});\n", + " var popup_ba13a04784527213becca6984495e66d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ac92a83e094e65c7ff2db8789f70fb65 = $(`<div id="html_ac92a83e094e65c7ff2db8789f70fb65" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_1a2072077861b1a3f0a1148aed9f775f.setContent(html_ac92a83e094e65c7ff2db8789f70fb65);\n", + " var html_2d4c56ba384ede3d8ba9d086a2d4ec8b = $(`<div id="html_2d4c56ba384ede3d8ba9d086a2d4ec8b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ba13a04784527213becca6984495e66d.setContent(html_2d4c56ba384ede3d8ba9d086a2d4ec8b);\n", " \n", "\n", - " circle_marker_fd287c08b755747a30bb6f2ab99b89d9.bindPopup(popup_1a2072077861b1a3f0a1148aed9f775f)\n", + " circle_marker_cb77ba629205bf232cbe0612090a3f44.bindPopup(popup_ba13a04784527213becca6984495e66d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ef31319b9bc07f05b5479c03fbf1c8ac = L.circleMarker(\n", + " var circle_marker_aac99ee5e2bc9c31884ad67e98ce54d9 = L.circleMarker(\n", " [37.761662032164296, -122.41129594712292],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_37365bbb1d0d0271bb69935fdb66d7fd = L.popup({"maxWidth": "100%"});\n", + " var popup_9dd5fde4552a5a8612cea96c183b3fa6 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_34cbf8d572532b7698b71d7c4b13bb9f = $(`<div id="html_34cbf8d572532b7698b71d7c4b13bb9f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_37365bbb1d0d0271bb69935fdb66d7fd.setContent(html_34cbf8d572532b7698b71d7c4b13bb9f);\n", + " var html_4c8dca793e334c3ff94601732b71297f = $(`<div id="html_4c8dca793e334c3ff94601732b71297f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9dd5fde4552a5a8612cea96c183b3fa6.setContent(html_4c8dca793e334c3ff94601732b71297f);\n", " \n", "\n", - " circle_marker_ef31319b9bc07f05b5479c03fbf1c8ac.bindPopup(popup_37365bbb1d0d0271bb69935fdb66d7fd)\n", + " circle_marker_aac99ee5e2bc9c31884ad67e98ce54d9.bindPopup(popup_9dd5fde4552a5a8612cea96c183b3fa6)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_23f8dec71d360dabb028c72329076961 = L.circleMarker(\n", + " var circle_marker_54ba5901229f9a7885eeb0768ca56584 = L.circleMarker(\n", " [37.741231897645584, -122.41468376365637],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_28cba9dce0081926046aaf74384b6865 = L.popup({"maxWidth": "100%"});\n", + " var popup_4f4cf84709d2413d647a796541342b6b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_372c2d4abbb85c93ecd2268ae6b9aabe = $(`<div id="html_372c2d4abbb85c93ecd2268ae6b9aabe" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_28cba9dce0081926046aaf74384b6865.setContent(html_372c2d4abbb85c93ecd2268ae6b9aabe);\n", + " var html_d64615689dab34808e9ba9df6322823c = $(`<div id="html_d64615689dab34808e9ba9df6322823c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_4f4cf84709d2413d647a796541342b6b.setContent(html_d64615689dab34808e9ba9df6322823c);\n", " \n", "\n", - " circle_marker_23f8dec71d360dabb028c72329076961.bindPopup(popup_28cba9dce0081926046aaf74384b6865)\n", + " circle_marker_54ba5901229f9a7885eeb0768ca56584.bindPopup(popup_4f4cf84709d2413d647a796541342b6b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_edc2addf31e6bd339d82c89dd537e0bf = L.circleMarker(\n", + " var circle_marker_cbaa3d3d4356d8e0308d313a33d8e551 = L.circleMarker(\n", " [37.7631304733426, -122.41501959094464],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_139d99c00d50e18b5ddcc1e953afc0f7 = L.popup({"maxWidth": "100%"});\n", + " var popup_3b18d405d320e88250fe2256977d4fa4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_1d23cc7dfff497658d60b4b982e502c5 = $(`<div id="html_1d23cc7dfff497658d60b4b982e502c5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_139d99c00d50e18b5ddcc1e953afc0f7.setContent(html_1d23cc7dfff497658d60b4b982e502c5);\n", + " var html_075413586841cb1195a1be73a8e1d936 = $(`<div id="html_075413586841cb1195a1be73a8e1d936" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3b18d405d320e88250fe2256977d4fa4.setContent(html_075413586841cb1195a1be73a8e1d936);\n", " \n", "\n", - " circle_marker_edc2addf31e6bd339d82c89dd537e0bf.bindPopup(popup_139d99c00d50e18b5ddcc1e953afc0f7)\n", + " circle_marker_cbaa3d3d4356d8e0308d313a33d8e551.bindPopup(popup_3b18d405d320e88250fe2256977d4fa4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_884e35935bb513eabdbb484f9ab51473 = L.circleMarker(\n", + " var circle_marker_a79e910254fef4d562d25dfa1bbc20fe = L.circleMarker(\n", " [37.74110751909093, -122.41267626306029],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6858511afc5b872201f3f3b3dc1202ef = L.popup({"maxWidth": "100%"});\n", + " var popup_f48fbf1064fca5ebe910661d66c346c0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_4959526757dfabaff868dbfbea90cec9 = $(`<div id="html_4959526757dfabaff868dbfbea90cec9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6858511afc5b872201f3f3b3dc1202ef.setContent(html_4959526757dfabaff868dbfbea90cec9);\n", + " var html_4337367027c0f63a984c552d215d2d32 = $(`<div id="html_4337367027c0f63a984c552d215d2d32" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_f48fbf1064fca5ebe910661d66c346c0.setContent(html_4337367027c0f63a984c552d215d2d32);\n", " \n", "\n", - " circle_marker_884e35935bb513eabdbb484f9ab51473.bindPopup(popup_6858511afc5b872201f3f3b3dc1202ef)\n", + " circle_marker_a79e910254fef4d562d25dfa1bbc20fe.bindPopup(popup_f48fbf1064fca5ebe910661d66c346c0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f07557e8af265e38eea8d830285785f2 = L.circleMarker(\n", + " var circle_marker_8c53b147bd365bcf6a3a8a2335c7f316 = L.circleMarker(\n", " [37.735512604334986, -122.4232176302866],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_58706868e61e8548dbabc83edcf5efe2 = L.popup({"maxWidth": "100%"});\n", + " var popup_136cc84bc6528ebfbfd198e8ef7389a5 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_3d923c6080c44ad820c8c74f577d11d6 = $(`<div id="html_3d923c6080c44ad820c8c74f577d11d6" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_58706868e61e8548dbabc83edcf5efe2.setContent(html_3d923c6080c44ad820c8c74f577d11d6);\n", + " var html_39fab991ef4a2e2c1698f59e2103802c = $(`<div id="html_39fab991ef4a2e2c1698f59e2103802c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_136cc84bc6528ebfbfd198e8ef7389a5.setContent(html_39fab991ef4a2e2c1698f59e2103802c);\n", " \n", "\n", - " circle_marker_f07557e8af265e38eea8d830285785f2.bindPopup(popup_58706868e61e8548dbabc83edcf5efe2)\n", + " circle_marker_8c53b147bd365bcf6a3a8a2335c7f316.bindPopup(popup_136cc84bc6528ebfbfd198e8ef7389a5)\n", " ;\n", "\n", " \n", @@ -4278,7 +4278,7 @@ "</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen>" ], "text/plain": [ - "" + "" ] }, "execution_count": 7, @@ -4324,8 +4324,8 @@ "id": "f5020f6b", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:53:05.605157Z", - "start_time": "2022-10-29T23:53:05.601662Z" + "end_time": "2022-10-31T13:24:20.633976Z", + "start_time": "2022-10-31T13:24:20.630278Z" } }, "outputs": [], @@ -4359,8 +4359,8 @@ "id": "da9e9d63", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:53:05.799479Z", - "start_time": "2022-10-29T23:53:05.607540Z" + "end_time": "2022-10-31T13:24:20.810697Z", + "start_time": "2022-10-31T13:24:20.636416Z" } }, "outputs": [ @@ -4392,7 +4392,7 @@ " <meta name="viewport" content="width=device-width,\n", " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", " <style>\n", - " #map_078fe1f28c1dfced6cae424d24908b23 {\n", + " #map_e5aa3b96114c9a9495cee09af10a3bc5 {\n", " position: relative;\n", " width: 100.0%;\n", " height: 100.0%;\n", @@ -4404,13 +4404,13 @@ "</head>\n", "<body> \n", " \n", - " <div class="folium-map" id="map_078fe1f28c1dfced6cae424d24908b23" ></div>\n", + " <div class="folium-map" id="map_e5aa3b96114c9a9495cee09af10a3bc5" ></div>\n", " \n", "</body>\n", "<script> \n", " \n", - " var map_078fe1f28c1dfced6cae424d24908b23 = L.map(\n", - " "map_078fe1f28c1dfced6cae424d24908b23",\n", + " var map_e5aa3b96114c9a9495cee09af10a3bc5 = L.map(\n", + " "map_e5aa3b96114c9a9495cee09af10a3bc5",\n", " {\n", " center: [37.748273, -122.410558],\n", " crs: L.CRS.EPSG3857,\n", @@ -4424,4033 +4424,4033 @@ "\n", " \n", " \n", - " var tile_layer_084da3d2f831ad43d59e0c9becd7135d = L.tileLayer(\n", + " var tile_layer_d89f84fb45e7a557f8aa6b8ea731b1f9 = L.tileLayer(\n", " "https://cartodb-basemaps-{s}.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png",\n", " {"attribution": "\\u0026copy; \\u003ca href=\\"http://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors \\u0026copy; \\u003ca href=\\"http://cartodb.com/attributions\\"\\u003eCartoDB\\u003c/a\\u003e, CartoDB \\u003ca href =\\"http://cartodb.com/attributions\\"\\u003eattributions\\u003c/a\\u003e", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n", - " ).addTo(map_078fe1f28c1dfced6cae424d24908b23);\n", + " ).addTo(map_e5aa3b96114c9a9495cee09af10a3bc5);\n", " \n", " \n", - " function geo_json_d720ea642bf60f5df1b931aa12839266_styler(feature) {\n", + " function geo_json_8ec1c0573930baf88e472fa28ee3369f_styler(feature) {\n", " switch(feature.id) {\n", " default:\n", " return {"color": "darksalmon", "fillColor": "darksalmon"};\n", " }\n", " }\n", "\n", - " function geo_json_d720ea642bf60f5df1b931aa12839266_onEachFeature(feature, layer) {\n", + " function geo_json_8ec1c0573930baf88e472fa28ee3369f_onEachFeature(feature, layer) {\n", " layer.on({\n", " });\n", " };\n", - " var geo_json_d720ea642bf60f5df1b931aa12839266 = L.geoJson(null, {\n", - " onEachFeature: geo_json_d720ea642bf60f5df1b931aa12839266_onEachFeature,\n", + " var geo_json_8ec1c0573930baf88e472fa28ee3369f = L.geoJson(null, {\n", + " onEachFeature: geo_json_8ec1c0573930baf88e472fa28ee3369f_onEachFeature,\n", " \n", - " style: geo_json_d720ea642bf60f5df1b931aa12839266_styler,\n", + " style: geo_json_8ec1c0573930baf88e472fa28ee3369f_styler,\n", " });\n", "\n", - " function geo_json_d720ea642bf60f5df1b931aa12839266_add (data) {\n", - " geo_json_d720ea642bf60f5df1b931aa12839266\n", + " function geo_json_8ec1c0573930baf88e472fa28ee3369f_add (data) {\n", + " geo_json_8ec1c0573930baf88e472fa28ee3369f\n", " .addData(data)\n", - " .addTo(map_078fe1f28c1dfced6cae424d24908b23);\n", + " .addTo(map_e5aa3b96114c9a9495cee09af10a3bc5);\n", " }\n", - " geo_json_d720ea642bf60f5df1b931aa12839266_add({"features": [{"geometry": {"coordinates": [[[-122.405115, 37.764635], [-122.405212, 37.763469], [-122.405832, 37.762199], [-122.405859, 37.761815], [-122.40604, 37.761865], [-122.406365, 37.761199], [-122.40645, 37.760114], [-122.406167, 37.759315], [-122.406015, 37.759409], [-122.405604, 37.758851], [-122.40405, 37.757619], [-122.403428, 37.756871], [-122.403585, 37.756818], [-122.403328, 37.756082], [-122.40315, 37.754488], [-122.403524, 37.754463], [-122.403437, 37.753199], [-122.403364, 37.752366], [-122.403022, 37.752336], [-122.403052, 37.752048], [-122.405091, 37.745281], [-122.405614, 37.7442], [-122.405493, 37.744084], [-122.404865, 37.744385], [-122.404524, 37.744285], [-122.406652, 37.741241], [-122.406936, 37.740554], [-122.407045, 37.739587], [-122.408136, 37.73964], [-122.408009, 37.737734], [-122.408218, 37.73765], [-122.408284, 37.736846], [-122.408613, 37.736074], [-122.409287, 37.735258], [-122.410052, 37.734675], [-122.411978, 37.733732], [-122.412695, 37.733197], [-122.414554, 37.732371], [-122.416255, 37.732034], [-122.419881, 37.732016], [-122.423718, 37.73155], [-122.425944, 37.731698], [-122.425256, 37.732125], [-122.422274, 37.732383], [-122.421889, 37.732533], [-122.421787, 37.732774], [-122.422472, 37.733967], [-122.422901, 37.734388], [-122.422243, 37.734846], [-122.422133, 37.735162], [-122.426983, 37.735455], [-122.427849, 37.734718], [-122.428578, 37.735082], [-122.42801, 37.735441], [-122.428454, 37.735882], [-122.42551, 37.737774], [-122.42452, 37.739868], [-122.42427, 37.739867], [-122.424394, 37.740405], [-122.424168, 37.740805], [-122.426453, 37.764634], [-122.421885, 37.764908], [-122.42173, 37.763304], [-122.421031, 37.76335], [-122.421248, 37.764947], [-122.407553, 37.765798], [-122.407431, 37.764497], [-122.405115, 37.764635]]], "type": "Polygon"}, "id": "0", "type": "Feature"}], "type": "FeatureCollection"});\n", + " geo_json_8ec1c0573930baf88e472fa28ee3369f_add({"features": [{"geometry": {"coordinates": [[[-122.405115, 37.764635], [-122.405212, 37.763469], [-122.405832, 37.762199], [-122.405859, 37.761815], [-122.40604, 37.761865], [-122.406365, 37.761199], [-122.40645, 37.760114], [-122.406167, 37.759315], [-122.406015, 37.759409], [-122.405604, 37.758851], [-122.40405, 37.757619], [-122.403428, 37.756871], [-122.403585, 37.756818], [-122.403328, 37.756082], [-122.40315, 37.754488], [-122.403524, 37.754463], [-122.403437, 37.753199], [-122.403364, 37.752366], [-122.403022, 37.752336], [-122.403052, 37.752048], [-122.405091, 37.745281], [-122.405614, 37.7442], [-122.405493, 37.744084], [-122.404865, 37.744385], [-122.404524, 37.744285], [-122.406652, 37.741241], [-122.406936, 37.740554], [-122.407045, 37.739587], [-122.408136, 37.73964], [-122.408009, 37.737734], [-122.408218, 37.73765], [-122.408284, 37.736846], [-122.408613, 37.736074], [-122.409287, 37.735258], [-122.410052, 37.734675], [-122.411978, 37.733732], [-122.412695, 37.733197], [-122.414554, 37.732371], [-122.416255, 37.732034], [-122.419881, 37.732016], [-122.423718, 37.73155], [-122.425944, 37.731698], [-122.425256, 37.732125], [-122.422274, 37.732383], [-122.421889, 37.732533], [-122.421787, 37.732774], [-122.422472, 37.733967], [-122.422901, 37.734388], [-122.422243, 37.734846], [-122.422133, 37.735162], [-122.426983, 37.735455], [-122.427849, 37.734718], [-122.428578, 37.735082], [-122.42801, 37.735441], [-122.428454, 37.735882], [-122.42551, 37.737774], [-122.42452, 37.739868], [-122.42427, 37.739867], [-122.424394, 37.740405], [-122.424168, 37.740805], [-122.426453, 37.764634], [-122.421885, 37.764908], [-122.42173, 37.763304], [-122.421031, 37.76335], [-122.421248, 37.764947], [-122.407553, 37.765798], [-122.407431, 37.764497], [-122.405115, 37.764635]]], "type": "Polygon"}, "id": "0", "type": "Feature"}], "type": "FeatureCollection"});\n", "\n", " \n", " \n", - " var feature_group_599901bd05ba2c8658a21f7f4add54f4 = L.featureGroup(\n", + " var feature_group_e1f9d57d307450d45b11851a79957446 = L.featureGroup(\n", " {}\n", - " ).addTo(map_078fe1f28c1dfced6cae424d24908b23);\n", + " ).addTo(map_e5aa3b96114c9a9495cee09af10a3bc5);\n", " \n", " \n", - " var circle_marker_76f808b0dafc497c729a54b29ca33302 = L.circleMarker(\n", + " var circle_marker_54203628b090162a8a773a77489fcfc3 = L.circleMarker(\n", " [37.75604380541952, -122.41455252209364],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_446075d0bcdd5eaa0a3480141b3cfcbf = L.popup({"maxWidth": "100%"});\n", + " var popup_8104d3b7a6e17b25085f683b5c25b183 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_606868863b2309edf33a7e31fbcd0911 = $(`<div id="html_606868863b2309edf33a7e31fbcd0911" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_446075d0bcdd5eaa0a3480141b3cfcbf.setContent(html_606868863b2309edf33a7e31fbcd0911);\n", + " var html_0bce832e222e183a306b6bd5efb7f132 = $(`<div id="html_0bce832e222e183a306b6bd5efb7f132" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_8104d3b7a6e17b25085f683b5c25b183.setContent(html_0bce832e222e183a306b6bd5efb7f132);\n", " \n", "\n", - " circle_marker_76f808b0dafc497c729a54b29ca33302.bindPopup(popup_446075d0bcdd5eaa0a3480141b3cfcbf)\n", + " circle_marker_54203628b090162a8a773a77489fcfc3.bindPopup(popup_8104d3b7a6e17b25085f683b5c25b183)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_58fb1eee98c8d1605b39e3b851a48ece = L.circleMarker(\n", + " var circle_marker_aa5451f5b5e924ae4138a3ecf9c14c20 = L.circleMarker(\n", " [37.75021115925127, -122.41317377916111],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_305e41489bd526ece0ec8831fa9858a5 = L.popup({"maxWidth": "100%"});\n", + " var popup_176243d08a7c1b7251a1038e28ed1283 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_9c70eff305e60455afc9605086abc453 = $(`<div id="html_9c70eff305e60455afc9605086abc453" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_305e41489bd526ece0ec8831fa9858a5.setContent(html_9c70eff305e60455afc9605086abc453);\n", + " var html_a433a3d34cdb804a1fb4c9a0f9f98fbe = $(`<div id="html_a433a3d34cdb804a1fb4c9a0f9f98fbe" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_176243d08a7c1b7251a1038e28ed1283.setContent(html_a433a3d34cdb804a1fb4c9a0f9f98fbe);\n", " \n", "\n", - " circle_marker_58fb1eee98c8d1605b39e3b851a48ece.bindPopup(popup_305e41489bd526ece0ec8831fa9858a5)\n", + " circle_marker_aa5451f5b5e924ae4138a3ecf9c14c20.bindPopup(popup_176243d08a7c1b7251a1038e28ed1283)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_329308f4630bd51c5da61971e1b87506 = L.circleMarker(\n", + " var circle_marker_aeac770fbf96ce25159536bb7f359776 = L.circleMarker(\n", " [37.7536705815843, -122.4177510779481],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_a010c67ab514eb463766f2d1760247f6 = L.popup({"maxWidth": "100%"});\n", + " var popup_5bdc4b10485111a8cef355e537feaeda = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f624ee86275e3c9887ebf1795dc98354 = $(`<div id="html_f624ee86275e3c9887ebf1795dc98354" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_a010c67ab514eb463766f2d1760247f6.setContent(html_f624ee86275e3c9887ebf1795dc98354);\n", + " var html_4419f15f7cf96b1f2ee32faff4f76198 = $(`<div id="html_4419f15f7cf96b1f2ee32faff4f76198" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_5bdc4b10485111a8cef355e537feaeda.setContent(html_4419f15f7cf96b1f2ee32faff4f76198);\n", " \n", "\n", - " circle_marker_329308f4630bd51c5da61971e1b87506.bindPopup(popup_a010c67ab514eb463766f2d1760247f6)\n", + " circle_marker_aeac770fbf96ce25159536bb7f359776.bindPopup(popup_5bdc4b10485111a8cef355e537feaeda)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2684adb7457619b148b1d3f354c4e943 = L.circleMarker(\n", + " var circle_marker_935e9b4371a0e548e5ea77d26da45c99 = L.circleMarker(\n", " [37.76209144173078, -122.41739502122897],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_73ebdaac0d79c9dcca8c9a7bf0e6ddf5 = L.popup({"maxWidth": "100%"});\n", + " var popup_d75410550c7cb6a5993bd2db23aecea8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d02e444a9bc1be6e37c0d4f9b94332a2 = $(`<div id="html_d02e444a9bc1be6e37c0d4f9b94332a2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_73ebdaac0d79c9dcca8c9a7bf0e6ddf5.setContent(html_d02e444a9bc1be6e37c0d4f9b94332a2);\n", + " var html_8024931ea6e59fe18ccdddfdbf1a0150 = $(`<div id="html_8024931ea6e59fe18ccdddfdbf1a0150" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_d75410550c7cb6a5993bd2db23aecea8.setContent(html_8024931ea6e59fe18ccdddfdbf1a0150);\n", " \n", "\n", - " circle_marker_2684adb7457619b148b1d3f354c4e943.bindPopup(popup_73ebdaac0d79c9dcca8c9a7bf0e6ddf5)\n", + " circle_marker_935e9b4371a0e548e5ea77d26da45c99.bindPopup(popup_d75410550c7cb6a5993bd2db23aecea8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bc8ab357209e9141d24423c3e0bad220 = L.circleMarker(\n", + " var circle_marker_ba817851e41a93cda4eaf4173d278d3e = L.circleMarker(\n", " [37.74966359321169, -122.40834467492677],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6a2d8269355b54a43572b5642f9a6f43 = L.popup({"maxWidth": "100%"});\n", + " var popup_c4a2965d526a685c3e40192601e8b723 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_db93003ec5a3fdd14e04e3ee4ee2dad2 = $(`<div id="html_db93003ec5a3fdd14e04e3ee4ee2dad2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6a2d8269355b54a43572b5642f9a6f43.setContent(html_db93003ec5a3fdd14e04e3ee4ee2dad2);\n", + " var html_675e1283f6df2aa2a24bcdff8d83a9dd = $(`<div id="html_675e1283f6df2aa2a24bcdff8d83a9dd" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_c4a2965d526a685c3e40192601e8b723.setContent(html_675e1283f6df2aa2a24bcdff8d83a9dd);\n", " \n", "\n", - " circle_marker_bc8ab357209e9141d24423c3e0bad220.bindPopup(popup_6a2d8269355b54a43572b5642f9a6f43)\n", + " circle_marker_ba817851e41a93cda4eaf4173d278d3e.bindPopup(popup_c4a2965d526a685c3e40192601e8b723)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_cff4302f4780cc1ccc80368327ef2ef1 = L.circleMarker(\n", + " var circle_marker_b1d88158a6bdc8dfb7ecd0426dfe05b4 = L.circleMarker(\n", " [37.76324983366825, -122.41406105319669],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_79ed3b1cc97dbab2469b9ccfff5e0bf9 = L.popup({"maxWidth": "100%"});\n", + " var popup_8e1128c31a433b4a6299360402b59d8b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0bcd79393c825266a367383ee065ab6b = $(`<div id="html_0bcd79393c825266a367383ee065ab6b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_79ed3b1cc97dbab2469b9ccfff5e0bf9.setContent(html_0bcd79393c825266a367383ee065ab6b);\n", + " var html_ad3c466ae8f3266d9e3797dee58f5e96 = $(`<div id="html_ad3c466ae8f3266d9e3797dee58f5e96" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_8e1128c31a433b4a6299360402b59d8b.setContent(html_ad3c466ae8f3266d9e3797dee58f5e96);\n", " \n", "\n", - " circle_marker_cff4302f4780cc1ccc80368327ef2ef1.bindPopup(popup_79ed3b1cc97dbab2469b9ccfff5e0bf9)\n", + " circle_marker_b1d88158a6bdc8dfb7ecd0426dfe05b4.bindPopup(popup_8e1128c31a433b4a6299360402b59d8b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1ae5710e9d581fa156886776df2ae7d0 = L.circleMarker(\n", + " var circle_marker_86d7d0fe55131c2aed8565c147472587 = L.circleMarker(\n", " [37.76134617605315, -122.40869142607274],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_d1387e469f0566da6e768319ee0a2bb4 = L.popup({"maxWidth": "100%"});\n", + " var popup_661d5808c52ad30af908b34bb31f94a0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_39ae3ca82984cadea81490f7609b46a4 = $(`<div id="html_39ae3ca82984cadea81490f7609b46a4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_d1387e469f0566da6e768319ee0a2bb4.setContent(html_39ae3ca82984cadea81490f7609b46a4);\n", + " var html_c8694c6dac130dd9d817a068b91d7c4e = $(`<div id="html_c8694c6dac130dd9d817a068b91d7c4e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_661d5808c52ad30af908b34bb31f94a0.setContent(html_c8694c6dac130dd9d817a068b91d7c4e);\n", " \n", "\n", - " circle_marker_1ae5710e9d581fa156886776df2ae7d0.bindPopup(popup_d1387e469f0566da6e768319ee0a2bb4)\n", + " circle_marker_86d7d0fe55131c2aed8565c147472587.bindPopup(popup_661d5808c52ad30af908b34bb31f94a0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_db7c4bbde884afcc6b4dba3381dfb02e = L.circleMarker(\n", + " var circle_marker_57f678964fd4efb13947cc3289e0011f = L.circleMarker(\n", " [37.75828156322945, -122.41678443341827],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6872a205105280bf5bb304258c4774ac = L.popup({"maxWidth": "100%"});\n", + " var popup_08198feb6da9a702d0e01599a2ca9201 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_02bbcf8f25c214a9c037d2dde05908a4 = $(`<div id="html_02bbcf8f25c214a9c037d2dde05908a4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6872a205105280bf5bb304258c4774ac.setContent(html_02bbcf8f25c214a9c037d2dde05908a4);\n", + " var html_4557c2fd82a1a1bd69cc8bcb408cf0a9 = $(`<div id="html_4557c2fd82a1a1bd69cc8bcb408cf0a9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_08198feb6da9a702d0e01599a2ca9201.setContent(html_4557c2fd82a1a1bd69cc8bcb408cf0a9);\n", " \n", "\n", - " circle_marker_db7c4bbde884afcc6b4dba3381dfb02e.bindPopup(popup_6872a205105280bf5bb304258c4774ac)\n", + " circle_marker_57f678964fd4efb13947cc3289e0011f.bindPopup(popup_08198feb6da9a702d0e01599a2ca9201)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0812f0da4533ca41da52670e3bc386f1 = L.circleMarker(\n", + " var circle_marker_4740b93e2f8fd112083acc2048dc0f50 = L.circleMarker(\n", " [37.76390302107111, -122.42491446338698],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_8273071d4adf8dccc7ae27ed1ddf3793 = L.popup({"maxWidth": "100%"});\n", + " var popup_968bbbce25be9e94c88d81cc54bfd8a9 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_7eb815cdd84c22473e6192428c9a6500 = $(`<div id="html_7eb815cdd84c22473e6192428c9a6500" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_8273071d4adf8dccc7ae27ed1ddf3793.setContent(html_7eb815cdd84c22473e6192428c9a6500);\n", + " var html_48fc35179e1a43208f615e3bce37a9fb = $(`<div id="html_48fc35179e1a43208f615e3bce37a9fb" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_968bbbce25be9e94c88d81cc54bfd8a9.setContent(html_48fc35179e1a43208f615e3bce37a9fb);\n", " \n", "\n", - " circle_marker_0812f0da4533ca41da52670e3bc386f1.bindPopup(popup_8273071d4adf8dccc7ae27ed1ddf3793)\n", + " circle_marker_4740b93e2f8fd112083acc2048dc0f50.bindPopup(popup_968bbbce25be9e94c88d81cc54bfd8a9)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_48df8fdd17f6f624e7f0e16634c19068 = L.circleMarker(\n", + " var circle_marker_f5419da322efbf899c269a5b3ad63dda = L.circleMarker(\n", " [37.74575134212079, -122.41524164428937],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_92f252e10aca80ab0a8ea5cce64330fa = L.popup({"maxWidth": "100%"});\n", + " var popup_693cdd2a3ee2a054452e7ba99bbe6c35 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a0dbd08b96b98a66d50c5e161372c884 = $(`<div id="html_a0dbd08b96b98a66d50c5e161372c884" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_92f252e10aca80ab0a8ea5cce64330fa.setContent(html_a0dbd08b96b98a66d50c5e161372c884);\n", + " var html_d22d6000c3e3fb4a2abb1084991a682b = $(`<div id="html_d22d6000c3e3fb4a2abb1084991a682b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_693cdd2a3ee2a054452e7ba99bbe6c35.setContent(html_d22d6000c3e3fb4a2abb1084991a682b);\n", " \n", "\n", - " circle_marker_48df8fdd17f6f624e7f0e16634c19068.bindPopup(popup_92f252e10aca80ab0a8ea5cce64330fa)\n", + " circle_marker_f5419da322efbf899c269a5b3ad63dda.bindPopup(popup_693cdd2a3ee2a054452e7ba99bbe6c35)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b8ea989bcf42bbbcdb5ad798ce48ebe5 = L.circleMarker(\n", + " var circle_marker_b74a5577b05e441e357db127f407965c = L.circleMarker(\n", " [37.75806595539574, -122.42181701677706],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_335a796f2c8208ae60da4043bc1c0324 = L.popup({"maxWidth": "100%"});\n", + " var popup_044a5d82d66981058db548b54518d506 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_11cdf4687c88eaece29a4b7d4b8c35ec = $(`<div id="html_11cdf4687c88eaece29a4b7d4b8c35ec" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_335a796f2c8208ae60da4043bc1c0324.setContent(html_11cdf4687c88eaece29a4b7d4b8c35ec);\n", + " var html_4dc990b4756ce7260e9401a28ddd1c58 = $(`<div id="html_4dc990b4756ce7260e9401a28ddd1c58" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_044a5d82d66981058db548b54518d506.setContent(html_4dc990b4756ce7260e9401a28ddd1c58);\n", " \n", "\n", - " circle_marker_b8ea989bcf42bbbcdb5ad798ce48ebe5.bindPopup(popup_335a796f2c8208ae60da4043bc1c0324)\n", + " circle_marker_b74a5577b05e441e357db127f407965c.bindPopup(popup_044a5d82d66981058db548b54518d506)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e212cf951f7bfa4171cee186a3f0b9da = L.circleMarker(\n", + " var circle_marker_f80f6e9257d4d0a1bb86bea93d78d789 = L.circleMarker(\n", " [37.75101772588085, -122.41692062210988],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_7b845cd74aeb85e69fd442316669092d = L.popup({"maxWidth": "100%"});\n", + " var popup_421b284952392865eb38529b38ad905f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_74bd641db4db285511a2c7b4e7da22cd = $(`<div id="html_74bd641db4db285511a2c7b4e7da22cd" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_7b845cd74aeb85e69fd442316669092d.setContent(html_74bd641db4db285511a2c7b4e7da22cd);\n", + " var html_2024cd99fd406060aeaf7e2ccc19c598 = $(`<div id="html_2024cd99fd406060aeaf7e2ccc19c598" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_421b284952392865eb38529b38ad905f.setContent(html_2024cd99fd406060aeaf7e2ccc19c598);\n", " \n", "\n", - " circle_marker_e212cf951f7bfa4171cee186a3f0b9da.bindPopup(popup_7b845cd74aeb85e69fd442316669092d)\n", + " circle_marker_f80f6e9257d4d0a1bb86bea93d78d789.bindPopup(popup_421b284952392865eb38529b38ad905f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_557079183963d9506462a78f44f3c520 = L.circleMarker(\n", + " var circle_marker_87e160ff46b4cfcdf310dcc368c7af03 = L.circleMarker(\n", " [37.75267875552496, -122.4129352817101],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f33610a60a2f83131212cc6e5610c7d3 = L.popup({"maxWidth": "100%"});\n", + " var popup_71cfa587cd92395fc6694ae98f86cf06 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ff13204e5ff582b7801cd1f319b0f301 = $(`<div id="html_ff13204e5ff582b7801cd1f319b0f301" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f33610a60a2f83131212cc6e5610c7d3.setContent(html_ff13204e5ff582b7801cd1f319b0f301);\n", + " var html_19cd4643e14f7fb20aa1714618dd8055 = $(`<div id="html_19cd4643e14f7fb20aa1714618dd8055" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_71cfa587cd92395fc6694ae98f86cf06.setContent(html_19cd4643e14f7fb20aa1714618dd8055);\n", " \n", "\n", - " circle_marker_557079183963d9506462a78f44f3c520.bindPopup(popup_f33610a60a2f83131212cc6e5610c7d3)\n", + " circle_marker_87e160ff46b4cfcdf310dcc368c7af03.bindPopup(popup_71cfa587cd92395fc6694ae98f86cf06)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0bff0c5ad5a8f3ecc4bb166740aa5f52 = L.circleMarker(\n", + " var circle_marker_b31b54c9fc8d565defc705ad7f250cd8 = L.circleMarker(\n", " [37.75490098160369, -122.40445957410549],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_654e8895301c5da7a04252c92d9e5e45 = L.popup({"maxWidth": "100%"});\n", + " var popup_1da77085ea9993431826fff49cf51315 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_83d892be48bf4693ae87c31968e85892 = $(`<div id="html_83d892be48bf4693ae87c31968e85892" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_654e8895301c5da7a04252c92d9e5e45.setContent(html_83d892be48bf4693ae87c31968e85892);\n", + " var html_196e123861a6df6ba93eae47889d764a = $(`<div id="html_196e123861a6df6ba93eae47889d764a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1da77085ea9993431826fff49cf51315.setContent(html_196e123861a6df6ba93eae47889d764a);\n", " \n", "\n", - " circle_marker_0bff0c5ad5a8f3ecc4bb166740aa5f52.bindPopup(popup_654e8895301c5da7a04252c92d9e5e45)\n", + " circle_marker_b31b54c9fc8d565defc705ad7f250cd8.bindPopup(popup_1da77085ea9993431826fff49cf51315)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ed0e48e9f5fcfc8e1c9b93f476d11cb8 = L.circleMarker(\n", + " var circle_marker_65bd616a2815f1b3ca17efe8f7913a4a = L.circleMarker(\n", " [37.746517470353716, -122.41939041609294],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_877571cec4928135e7044f4da4379f1b = L.popup({"maxWidth": "100%"});\n", + " var popup_b8c17b2c65682551e2e25c036aec003b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_5bba310ca3562cc95f1c9b94cf9f05a6 = $(`<div id="html_5bba310ca3562cc95f1c9b94cf9f05a6" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_877571cec4928135e7044f4da4379f1b.setContent(html_5bba310ca3562cc95f1c9b94cf9f05a6);\n", + " var html_a894e5e53ccb239e8e5458c2d7b1a378 = $(`<div id="html_a894e5e53ccb239e8e5458c2d7b1a378" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b8c17b2c65682551e2e25c036aec003b.setContent(html_a894e5e53ccb239e8e5458c2d7b1a378);\n", " \n", "\n", - " circle_marker_ed0e48e9f5fcfc8e1c9b93f476d11cb8.bindPopup(popup_877571cec4928135e7044f4da4379f1b)\n", + " circle_marker_65bd616a2815f1b3ca17efe8f7913a4a.bindPopup(popup_b8c17b2c65682551e2e25c036aec003b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_29e71fe67867cdfc66bf4717b08272da = L.circleMarker(\n", + " var circle_marker_4a8c8dd0ad6a8aa82c176b31f83ca69d = L.circleMarker(\n", " [37.75451800575868, -122.41153810982007],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_2bc3ffcd0f6ace4e00fc1a8a2d2bf747 = L.popup({"maxWidth": "100%"});\n", + " var popup_8f4b4861e1ae9a7816811ab7f90a4a96 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_edec26c947228aa189ee30cc16c04d6f = $(`<div id="html_edec26c947228aa189ee30cc16c04d6f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_2bc3ffcd0f6ace4e00fc1a8a2d2bf747.setContent(html_edec26c947228aa189ee30cc16c04d6f);\n", + " var html_ae2cff158f2f0f1917caa203ec5a8503 = $(`<div id="html_ae2cff158f2f0f1917caa203ec5a8503" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_8f4b4861e1ae9a7816811ab7f90a4a96.setContent(html_ae2cff158f2f0f1917caa203ec5a8503);\n", " \n", "\n", - " circle_marker_29e71fe67867cdfc66bf4717b08272da.bindPopup(popup_2bc3ffcd0f6ace4e00fc1a8a2d2bf747)\n", + " circle_marker_4a8c8dd0ad6a8aa82c176b31f83ca69d.bindPopup(popup_8f4b4861e1ae9a7816811ab7f90a4a96)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c7ce2a13dca2c6c440207fe1dac8df2f = L.circleMarker(\n", + " var circle_marker_5e67b7246ace62d0c09d5d9e3d074b72 = L.circleMarker(\n", " [37.735965467842085, -122.4232014632692],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_3182ea3c63dbf00ec3abad82c504f9ca = L.popup({"maxWidth": "100%"});\n", + " var popup_2444a1deea9c227ea4062275daa65643 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_8cd91790f0dea4699a39303dec0c16fa = $(`<div id="html_8cd91790f0dea4699a39303dec0c16fa" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_3182ea3c63dbf00ec3abad82c504f9ca.setContent(html_8cd91790f0dea4699a39303dec0c16fa);\n", + " var html_eeed52c3d7aa1dafdfa995206cfde765 = $(`<div id="html_eeed52c3d7aa1dafdfa995206cfde765" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_2444a1deea9c227ea4062275daa65643.setContent(html_eeed52c3d7aa1dafdfa995206cfde765);\n", " \n", "\n", - " circle_marker_c7ce2a13dca2c6c440207fe1dac8df2f.bindPopup(popup_3182ea3c63dbf00ec3abad82c504f9ca)\n", + " circle_marker_5e67b7246ace62d0c09d5d9e3d074b72.bindPopup(popup_2444a1deea9c227ea4062275daa65643)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_44f4484b9123bf14ab63e5525436c136 = L.circleMarker(\n", + " var circle_marker_3846c6b0c92289a707b20749253b15fb = L.circleMarker(\n", " [37.74400636648324, -122.42051691306378],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f0edbed02cf06124930e24b7229a6e49 = L.popup({"maxWidth": "100%"});\n", + " var popup_74c0504ad4cbd19130c2888e2f15f70e = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a3ec78d840c91b81ed1a0a6bedc30d94 = $(`<div id="html_a3ec78d840c91b81ed1a0a6bedc30d94" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f0edbed02cf06124930e24b7229a6e49.setContent(html_a3ec78d840c91b81ed1a0a6bedc30d94);\n", + " var html_d7192ccd840a8ff06635bf40c5dee82b = $(`<div id="html_d7192ccd840a8ff06635bf40c5dee82b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_74c0504ad4cbd19130c2888e2f15f70e.setContent(html_d7192ccd840a8ff06635bf40c5dee82b);\n", " \n", "\n", - " circle_marker_44f4484b9123bf14ab63e5525436c136.bindPopup(popup_f0edbed02cf06124930e24b7229a6e49)\n", + " circle_marker_3846c6b0c92289a707b20749253b15fb.bindPopup(popup_74c0504ad4cbd19130c2888e2f15f70e)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_982b6efc75da052f9a60de41bb4dbf9e = L.circleMarker(\n", + " var circle_marker_3115c0d72280dbbc4d6a707365aa799d = L.circleMarker(\n", " [37.74657122463306, -122.4140060513352],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_fd1f28fcefacde0363e1bfcbc7e7bd23 = L.popup({"maxWidth": "100%"});\n", + " var popup_d9e7569eba4864f6e7f83c6a5462baa0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_28ffe10e3855f88ebee01addbc82345d = $(`<div id="html_28ffe10e3855f88ebee01addbc82345d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_fd1f28fcefacde0363e1bfcbc7e7bd23.setContent(html_28ffe10e3855f88ebee01addbc82345d);\n", + " var html_1d8f47108a5f3b6b7f2a50cd1305dc1f = $(`<div id="html_1d8f47108a5f3b6b7f2a50cd1305dc1f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_d9e7569eba4864f6e7f83c6a5462baa0.setContent(html_1d8f47108a5f3b6b7f2a50cd1305dc1f);\n", " \n", "\n", - " circle_marker_982b6efc75da052f9a60de41bb4dbf9e.bindPopup(popup_fd1f28fcefacde0363e1bfcbc7e7bd23)\n", + " circle_marker_3115c0d72280dbbc4d6a707365aa799d.bindPopup(popup_d9e7569eba4864f6e7f83c6a5462baa0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_5ae7946c073eb880fc95637d5fe989df = L.circleMarker(\n", + " var circle_marker_b53b4ec3e7689a2560afd1b3e923ebbc = L.circleMarker(\n", " [37.737074528368524, -122.42323994562125],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_dea829faf3d3174b5d420c23916779d3 = L.popup({"maxWidth": "100%"});\n", + " var popup_5c37bfc1a58719969ae79edfdab9d6d4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_5c28ac9bf24486e5a44d847c870cd746 = $(`<div id="html_5c28ac9bf24486e5a44d847c870cd746" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_dea829faf3d3174b5d420c23916779d3.setContent(html_5c28ac9bf24486e5a44d847c870cd746);\n", + " var html_f4d3e4abd2d582c58f8ce16dc85ee52f = $(`<div id="html_f4d3e4abd2d582c58f8ce16dc85ee52f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_5c37bfc1a58719969ae79edfdab9d6d4.setContent(html_f4d3e4abd2d582c58f8ce16dc85ee52f);\n", " \n", "\n", - " circle_marker_5ae7946c073eb880fc95637d5fe989df.bindPopup(popup_dea829faf3d3174b5d420c23916779d3)\n", + " circle_marker_b53b4ec3e7689a2560afd1b3e923ebbc.bindPopup(popup_5c37bfc1a58719969ae79edfdab9d6d4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_5eff34d633251133f272559715ec3230 = L.circleMarker(\n", + " var circle_marker_787746669de7cd9dc561e9bc3ccc7cb5 = L.circleMarker(\n", " [37.74022473080378, -122.41188716363442],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c453d794d8aba15979970758a430e6c4 = L.popup({"maxWidth": "100%"});\n", + " var popup_fd07c89d733307532bc026400f7e392e = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2592d4be5a1667aa097b61330bbd8097 = $(`<div id="html_2592d4be5a1667aa097b61330bbd8097" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c453d794d8aba15979970758a430e6c4.setContent(html_2592d4be5a1667aa097b61330bbd8097);\n", + " var html_e22ad5821cf0eecd1af63728dccdb740 = $(`<div id="html_e22ad5821cf0eecd1af63728dccdb740" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_fd07c89d733307532bc026400f7e392e.setContent(html_e22ad5821cf0eecd1af63728dccdb740);\n", " \n", "\n", - " circle_marker_5eff34d633251133f272559715ec3230.bindPopup(popup_c453d794d8aba15979970758a430e6c4)\n", + " circle_marker_787746669de7cd9dc561e9bc3ccc7cb5.bindPopup(popup_fd07c89d733307532bc026400f7e392e)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ef17c56fa59087919d68f1f19377169f = L.circleMarker(\n", + " var circle_marker_27fba0780c2c42059d064f8a95a3f089 = L.circleMarker(\n", " [37.73992108767487, -122.4166609618889],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9e13424ec711ec65fda32225f68dfd83 = L.popup({"maxWidth": "100%"});\n", + " var popup_9f3ec02dd27fea0fe581b1f7c23e3aa2 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_7ab588e98775121a3e70512d61b4aac9 = $(`<div id="html_7ab588e98775121a3e70512d61b4aac9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9e13424ec711ec65fda32225f68dfd83.setContent(html_7ab588e98775121a3e70512d61b4aac9);\n", + " var html_ae77c1dd35d42660543a4a4c61a0966e = $(`<div id="html_ae77c1dd35d42660543a4a4c61a0966e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9f3ec02dd27fea0fe581b1f7c23e3aa2.setContent(html_ae77c1dd35d42660543a4a4c61a0966e);\n", " \n", "\n", - " circle_marker_ef17c56fa59087919d68f1f19377169f.bindPopup(popup_9e13424ec711ec65fda32225f68dfd83)\n", + " circle_marker_27fba0780c2c42059d064f8a95a3f089.bindPopup(popup_9f3ec02dd27fea0fe581b1f7c23e3aa2)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ab2d760c34e16c0265a24e60e6cf2792 = L.circleMarker(\n", + " var circle_marker_06a2415bd15bb5dc48f1a930b2e80ea7 = L.circleMarker(\n", " [37.735330127834594, -122.42451537332036],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_210e5ac9a5d40f7645e86b44e49c2718 = L.popup({"maxWidth": "100%"});\n", + " var popup_c1b8ddcc0cd63506fcb4134a255fcc25 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2d7111ad259c539804c4b89116c2f078 = $(`<div id="html_2d7111ad259c539804c4b89116c2f078" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_210e5ac9a5d40f7645e86b44e49c2718.setContent(html_2d7111ad259c539804c4b89116c2f078);\n", + " var html_40860676a2585e15723b6da7ca346348 = $(`<div id="html_40860676a2585e15723b6da7ca346348" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_c1b8ddcc0cd63506fcb4134a255fcc25.setContent(html_40860676a2585e15723b6da7ca346348);\n", " \n", "\n", - " circle_marker_ab2d760c34e16c0265a24e60e6cf2792.bindPopup(popup_210e5ac9a5d40f7645e86b44e49c2718)\n", + " circle_marker_06a2415bd15bb5dc48f1a930b2e80ea7.bindPopup(popup_c1b8ddcc0cd63506fcb4134a255fcc25)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_09b67c77e8b262f3345f2beb2a6af2fe = L.circleMarker(\n", + " var circle_marker_f948c4977bbc6bb3003f0c39adf06d38 = L.circleMarker(\n", " [37.73628248971779, -122.41180484101163],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_395d1118209898d7f23ccb4a18d2c169 = L.popup({"maxWidth": "100%"});\n", + " var popup_35f9a0a1c14fbf620ba4fc6298b7fb5a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_fbfc107424d188e909109ae5bd3abf63 = $(`<div id="html_fbfc107424d188e909109ae5bd3abf63" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_395d1118209898d7f23ccb4a18d2c169.setContent(html_fbfc107424d188e909109ae5bd3abf63);\n", + " var html_452184c2f16dfe738240576984c99ce5 = $(`<div id="html_452184c2f16dfe738240576984c99ce5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_35f9a0a1c14fbf620ba4fc6298b7fb5a.setContent(html_452184c2f16dfe738240576984c99ce5);\n", " \n", "\n", - " circle_marker_09b67c77e8b262f3345f2beb2a6af2fe.bindPopup(popup_395d1118209898d7f23ccb4a18d2c169)\n", + " circle_marker_f948c4977bbc6bb3003f0c39adf06d38.bindPopup(popup_35f9a0a1c14fbf620ba4fc6298b7fb5a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_df66f701ea642e2b66fed4951a20abf2 = L.circleMarker(\n", + " var circle_marker_0678d0795d62fd790773351de410d8c8 = L.circleMarker(\n", " [37.74417809964479, -122.42355414116491],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_dd0c47e4b25190d6983c60692a816534 = L.popup({"maxWidth": "100%"});\n", + " var popup_602a8ccc3bb05b2593566ab46455206e = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_44feb6a2d28d3f364d952731454e72d4 = $(`<div id="html_44feb6a2d28d3f364d952731454e72d4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_dd0c47e4b25190d6983c60692a816534.setContent(html_44feb6a2d28d3f364d952731454e72d4);\n", + " var html_2f60b7e7610a88cb73b1e5a93f8fe008 = $(`<div id="html_2f60b7e7610a88cb73b1e5a93f8fe008" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_602a8ccc3bb05b2593566ab46455206e.setContent(html_2f60b7e7610a88cb73b1e5a93f8fe008);\n", " \n", "\n", - " circle_marker_df66f701ea642e2b66fed4951a20abf2.bindPopup(popup_dd0c47e4b25190d6983c60692a816534)\n", + " circle_marker_0678d0795d62fd790773351de410d8c8.bindPopup(popup_602a8ccc3bb05b2593566ab46455206e)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_fc57a862c692f4f732dac3110548a7ac = L.circleMarker(\n", + " var circle_marker_0664550c611dd627e548616e0430e48b = L.circleMarker(\n", " [37.75226474936023, -122.40361589363022],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9b7e47354f9e6a2af85715565f1fe3d2 = L.popup({"maxWidth": "100%"});\n", + " var popup_b05c9ce1b2239e6adfa67df44115daa4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_817101da95a32a79212e9ada0b009113 = $(`<div id="html_817101da95a32a79212e9ada0b009113" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9b7e47354f9e6a2af85715565f1fe3d2.setContent(html_817101da95a32a79212e9ada0b009113);\n", + " var html_5ec67c1a1e8cd9cebc94945c2241442b = $(`<div id="html_5ec67c1a1e8cd9cebc94945c2241442b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b05c9ce1b2239e6adfa67df44115daa4.setContent(html_5ec67c1a1e8cd9cebc94945c2241442b);\n", " \n", "\n", - " circle_marker_fc57a862c692f4f732dac3110548a7ac.bindPopup(popup_9b7e47354f9e6a2af85715565f1fe3d2)\n", + " circle_marker_0664550c611dd627e548616e0430e48b.bindPopup(popup_b05c9ce1b2239e6adfa67df44115daa4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bb3ceec46a4c24b532876c1008eaf979 = L.circleMarker(\n", + " var circle_marker_b4705d3d922af08a30c516cfd6a51e81 = L.circleMarker(\n", " [37.735666491828425, -122.4213505852644],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_e571c58273b97bb5c16248c4d9e36919 = L.popup({"maxWidth": "100%"});\n", + " var popup_44ad036a83c3df734ebd2198a798c5e3 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_7ae704a7a0b18cf46fd014cf6cff4c17 = $(`<div id="html_7ae704a7a0b18cf46fd014cf6cff4c17" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_e571c58273b97bb5c16248c4d9e36919.setContent(html_7ae704a7a0b18cf46fd014cf6cff4c17);\n", + " var html_b0c6265c91064a843d2f014d5886298b = $(`<div id="html_b0c6265c91064a843d2f014d5886298b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_44ad036a83c3df734ebd2198a798c5e3.setContent(html_b0c6265c91064a843d2f014d5886298b);\n", " \n", "\n", - " circle_marker_bb3ceec46a4c24b532876c1008eaf979.bindPopup(popup_e571c58273b97bb5c16248c4d9e36919)\n", + " circle_marker_b4705d3d922af08a30c516cfd6a51e81.bindPopup(popup_44ad036a83c3df734ebd2198a798c5e3)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f1debc6b54bb2a4a287fa2218d9daf3f = L.circleMarker(\n", + " var circle_marker_9a584e6a74bd8bc45e6d8555d9fd45be = L.circleMarker(\n", " [37.73561618691874, -122.42100984111212],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_e038c137a45d42f94634b0ad328337a6 = L.popup({"maxWidth": "100%"});\n", + " var popup_74fc7cea9aba74840e2791c1cdcc898b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_549b5a3442a7318772349f44d5fb91eb = $(`<div id="html_549b5a3442a7318772349f44d5fb91eb" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_e038c137a45d42f94634b0ad328337a6.setContent(html_549b5a3442a7318772349f44d5fb91eb);\n", + " var html_9c4e00fee252d7b17ae512bf670da632 = $(`<div id="html_9c4e00fee252d7b17ae512bf670da632" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_74fc7cea9aba74840e2791c1cdcc898b.setContent(html_9c4e00fee252d7b17ae512bf670da632);\n", " \n", "\n", - " circle_marker_f1debc6b54bb2a4a287fa2218d9daf3f.bindPopup(popup_e038c137a45d42f94634b0ad328337a6)\n", + " circle_marker_9a584e6a74bd8bc45e6d8555d9fd45be.bindPopup(popup_74fc7cea9aba74840e2791c1cdcc898b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_cb41340fdeea7f8d7f9ad8552f6a0c82 = L.circleMarker(\n", + " var circle_marker_0a5802562091b5158ffc8f649644b21d = L.circleMarker(\n", " [37.74573767903614, -122.42045162186741],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_ec94b9bfe188855840f15cd8624503cb = L.popup({"maxWidth": "100%"});\n", + " var popup_383e09ea96126371b083abcfcb1bbc1f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e8cf4d0ce55d6b06b395a421b7d74940 = $(`<div id="html_e8cf4d0ce55d6b06b395a421b7d74940" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_ec94b9bfe188855840f15cd8624503cb.setContent(html_e8cf4d0ce55d6b06b395a421b7d74940);\n", + " var html_cff59e3b02b41aae63bc6cdc18b7a766 = $(`<div id="html_cff59e3b02b41aae63bc6cdc18b7a766" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_383e09ea96126371b083abcfcb1bbc1f.setContent(html_cff59e3b02b41aae63bc6cdc18b7a766);\n", " \n", "\n", - " circle_marker_cb41340fdeea7f8d7f9ad8552f6a0c82.bindPopup(popup_ec94b9bfe188855840f15cd8624503cb)\n", + " circle_marker_0a5802562091b5158ffc8f649644b21d.bindPopup(popup_383e09ea96126371b083abcfcb1bbc1f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_565d2ce924d1ba03a7f7645261151a84 = L.circleMarker(\n", + " var circle_marker_0897fd6ebf52d0d87b5c41e66b54af2d = L.circleMarker(\n", " [37.74063905928569, -122.4140979332363],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_352fba3f3cb3ae1ac87501ae5816004a = L.popup({"maxWidth": "100%"});\n", + " var popup_1338e3d6594b0147fcfda17ae6ccc13a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d9dea9217bab57b56c54199525b6b116 = $(`<div id="html_d9dea9217bab57b56c54199525b6b116" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_352fba3f3cb3ae1ac87501ae5816004a.setContent(html_d9dea9217bab57b56c54199525b6b116);\n", + " var html_01209ddcd8dd1b2d1d9635df9a593925 = $(`<div id="html_01209ddcd8dd1b2d1d9635df9a593925" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1338e3d6594b0147fcfda17ae6ccc13a.setContent(html_01209ddcd8dd1b2d1d9635df9a593925);\n", " \n", "\n", - " circle_marker_565d2ce924d1ba03a7f7645261151a84.bindPopup(popup_352fba3f3cb3ae1ac87501ae5816004a)\n", + " circle_marker_0897fd6ebf52d0d87b5c41e66b54af2d.bindPopup(popup_1338e3d6594b0147fcfda17ae6ccc13a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d03cab040a2bb35d4eb82a4909bb1889 = L.circleMarker(\n", + " var circle_marker_32c3d0e6b9cb42a15508faf287c8a443 = L.circleMarker(\n", " [37.73476727461245, -122.41520587274562],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6a2c8a79cc314f3b5973c54b1f973f65 = L.popup({"maxWidth": "100%"});\n", + " var popup_b97c44fbb37a1480a865a30816594ab0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f1b337048d29f0c412887d8447626239 = $(`<div id="html_f1b337048d29f0c412887d8447626239" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6a2c8a79cc314f3b5973c54b1f973f65.setContent(html_f1b337048d29f0c412887d8447626239);\n", + " var html_28e3edc4f1b353eaeef49ee4f151000b = $(`<div id="html_28e3edc4f1b353eaeef49ee4f151000b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b97c44fbb37a1480a865a30816594ab0.setContent(html_28e3edc4f1b353eaeef49ee4f151000b);\n", " \n", "\n", - " circle_marker_d03cab040a2bb35d4eb82a4909bb1889.bindPopup(popup_6a2c8a79cc314f3b5973c54b1f973f65)\n", + " circle_marker_32c3d0e6b9cb42a15508faf287c8a443.bindPopup(popup_b97c44fbb37a1480a865a30816594ab0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_840a917b215f07862f98b9c834291a09 = L.circleMarker(\n", + " var circle_marker_a23625123015e5d0c95023257411f648 = L.circleMarker(\n", " [37.76337653617459, -122.41385911135957],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c03fabba25090305c57b3037d0a22275 = L.popup({"maxWidth": "100%"});\n", + " var popup_68ac99dbcafe7f6444a32bb4b98f1e3d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_27352823e87677d774e30e92788366c7 = $(`<div id="html_27352823e87677d774e30e92788366c7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c03fabba25090305c57b3037d0a22275.setContent(html_27352823e87677d774e30e92788366c7);\n", + " var html_86a0c0577f8088da3a9ece7cb2597b2c = $(`<div id="html_86a0c0577f8088da3a9ece7cb2597b2c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_68ac99dbcafe7f6444a32bb4b98f1e3d.setContent(html_86a0c0577f8088da3a9ece7cb2597b2c);\n", " \n", "\n", - " circle_marker_840a917b215f07862f98b9c834291a09.bindPopup(popup_c03fabba25090305c57b3037d0a22275)\n", + " circle_marker_a23625123015e5d0c95023257411f648.bindPopup(popup_68ac99dbcafe7f6444a32bb4b98f1e3d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_49d86ed20bfef843f9c62e31f14e1071 = L.circleMarker(\n", + " var circle_marker_6f3a29c16abda9fd280440228a715a35 = L.circleMarker(\n", " [37.754407470692996, -122.42043665185116],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_601557fa31597fd44311dc007a1f115a = L.popup({"maxWidth": "100%"});\n", + " var popup_5b0b8556d92ced1aca99d57981b2ec13 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_9a5510f8c4ce53e685d5be57dd4b42ca = $(`<div id="html_9a5510f8c4ce53e685d5be57dd4b42ca" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_601557fa31597fd44311dc007a1f115a.setContent(html_9a5510f8c4ce53e685d5be57dd4b42ca);\n", + " var html_bb267070e49a5c2da381e79c953af477 = $(`<div id="html_bb267070e49a5c2da381e79c953af477" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_5b0b8556d92ced1aca99d57981b2ec13.setContent(html_bb267070e49a5c2da381e79c953af477);\n", " \n", "\n", - " circle_marker_49d86ed20bfef843f9c62e31f14e1071.bindPopup(popup_601557fa31597fd44311dc007a1f115a)\n", + " circle_marker_6f3a29c16abda9fd280440228a715a35.bindPopup(popup_5b0b8556d92ced1aca99d57981b2ec13)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c06732ce127aa57edc48de7c5d2e950f = L.circleMarker(\n", + " var circle_marker_c62baec9beaa165ac889f191fb49448a = L.circleMarker(\n", " [37.75608277408665, -122.4252097738284],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_0c8970e9db3e8e65e58e57e4243a3990 = L.popup({"maxWidth": "100%"});\n", + " var popup_78f31e1b52ce9345e182116a96027d46 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0642c2e1dc7933cffdcaca135a81f289 = $(`<div id="html_0642c2e1dc7933cffdcaca135a81f289" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_0c8970e9db3e8e65e58e57e4243a3990.setContent(html_0642c2e1dc7933cffdcaca135a81f289);\n", + " var html_9087da4b913ec65516d023f0be0a547b = $(`<div id="html_9087da4b913ec65516d023f0be0a547b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_78f31e1b52ce9345e182116a96027d46.setContent(html_9087da4b913ec65516d023f0be0a547b);\n", " \n", "\n", - " circle_marker_c06732ce127aa57edc48de7c5d2e950f.bindPopup(popup_0c8970e9db3e8e65e58e57e4243a3990)\n", + " circle_marker_c62baec9beaa165ac889f191fb49448a.bindPopup(popup_78f31e1b52ce9345e182116a96027d46)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bf89f1e458424f8eed6b8d0892177b62 = L.circleMarker(\n", + " var circle_marker_92d58e16b2bee68cb08dc7d163438873 = L.circleMarker(\n", " [37.73782393776602, -122.42118193788865],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f0ec042a25e150ed51cee8c37738ae50 = L.popup({"maxWidth": "100%"});\n", + " var popup_477c20bfe2c9d988e218abe91e96df07 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_fcee165b21c35562b7e26fd92423d25e = $(`<div id="html_fcee165b21c35562b7e26fd92423d25e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f0ec042a25e150ed51cee8c37738ae50.setContent(html_fcee165b21c35562b7e26fd92423d25e);\n", + " var html_5ba38c4bcd2e8c114ff270215e306ad8 = $(`<div id="html_5ba38c4bcd2e8c114ff270215e306ad8" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_477c20bfe2c9d988e218abe91e96df07.setContent(html_5ba38c4bcd2e8c114ff270215e306ad8);\n", " \n", "\n", - " circle_marker_bf89f1e458424f8eed6b8d0892177b62.bindPopup(popup_f0ec042a25e150ed51cee8c37738ae50)\n", + " circle_marker_92d58e16b2bee68cb08dc7d163438873.bindPopup(popup_477c20bfe2c9d988e218abe91e96df07)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_203a49a045621fcb71a91abd83652a37 = L.circleMarker(\n", + " var circle_marker_6d2758fce3fdfaa3539699aecd67f36a = L.circleMarker(\n", " [37.740797233065884, -122.41125572058564],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_a13bedf8d91503596376e9ca46bc7fb2 = L.popup({"maxWidth": "100%"});\n", + " var popup_6a6e1e794be999707866d210e946b5e6 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d6a5b5ce466e4d8f11bc0d451f2583c2 = $(`<div id="html_d6a5b5ce466e4d8f11bc0d451f2583c2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_a13bedf8d91503596376e9ca46bc7fb2.setContent(html_d6a5b5ce466e4d8f11bc0d451f2583c2);\n", + " var html_a263a23202e7bcb620e8e4ed863704e1 = $(`<div id="html_a263a23202e7bcb620e8e4ed863704e1" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_6a6e1e794be999707866d210e946b5e6.setContent(html_a263a23202e7bcb620e8e4ed863704e1);\n", " \n", "\n", - " circle_marker_203a49a045621fcb71a91abd83652a37.bindPopup(popup_a13bedf8d91503596376e9ca46bc7fb2)\n", + " circle_marker_6d2758fce3fdfaa3539699aecd67f36a.bindPopup(popup_6a6e1e794be999707866d210e946b5e6)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2b024e593d1e8a2e81407fdf5a8463d6 = L.circleMarker(\n", + " var circle_marker_f5456f6d71befd904c6e523f05f5603e = L.circleMarker(\n", " [37.76450303329318, -122.40978938157065],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f46a16adcdc19fd2fddd8de02cbd59d2 = L.popup({"maxWidth": "100%"});\n", + " var popup_0b105b771b9255a513eaf2f1deaeeded = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e5d9681dd6ddf228c62dc87560b67e19 = $(`<div id="html_e5d9681dd6ddf228c62dc87560b67e19" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f46a16adcdc19fd2fddd8de02cbd59d2.setContent(html_e5d9681dd6ddf228c62dc87560b67e19);\n", + " var html_d6d12b960a93bcf6af4e9a80ab891557 = $(`<div id="html_d6d12b960a93bcf6af4e9a80ab891557" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_0b105b771b9255a513eaf2f1deaeeded.setContent(html_d6d12b960a93bcf6af4e9a80ab891557);\n", " \n", "\n", - " circle_marker_2b024e593d1e8a2e81407fdf5a8463d6.bindPopup(popup_f46a16adcdc19fd2fddd8de02cbd59d2)\n", + " circle_marker_f5456f6d71befd904c6e523f05f5603e.bindPopup(popup_0b105b771b9255a513eaf2f1deaeeded)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_28b0db3f3f1a539af0a99cf8ba6fefd6 = L.circleMarker(\n", + " var circle_marker_387766c8439d9095c436189a1d39cb11 = L.circleMarker(\n", " [37.75128223638914, -122.42222086466421],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_440d96e291e4a019e419afc0feb16b0e = L.popup({"maxWidth": "100%"});\n", + " var popup_53cfa6af8c2a9f3014b4f65a498f8349 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f860d08df83e2bf67fbb4cf43f281de9 = $(`<div id="html_f860d08df83e2bf67fbb4cf43f281de9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_440d96e291e4a019e419afc0feb16b0e.setContent(html_f860d08df83e2bf67fbb4cf43f281de9);\n", + " var html_469ef7182b240a4443a0afa816352281 = $(`<div id="html_469ef7182b240a4443a0afa816352281" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_53cfa6af8c2a9f3014b4f65a498f8349.setContent(html_469ef7182b240a4443a0afa816352281);\n", " \n", "\n", - " circle_marker_28b0db3f3f1a539af0a99cf8ba6fefd6.bindPopup(popup_440d96e291e4a019e419afc0feb16b0e)\n", + " circle_marker_387766c8439d9095c436189a1d39cb11.bindPopup(popup_53cfa6af8c2a9f3014b4f65a498f8349)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a07337ae05caeb17f7de6e3f186b18d6 = L.circleMarker(\n", + " var circle_marker_7d952e2bfd9896dccda7601d67745f58 = L.circleMarker(\n", " [37.751148483269525, -122.41344777640442],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_5209bf1bc7c3df20c65f01dd9237fffc = L.popup({"maxWidth": "100%"});\n", + " var popup_b6811c1a90c3b84078fab1a91a55da5b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_8104caa25cc7fa529f1a76fb666589c1 = $(`<div id="html_8104caa25cc7fa529f1a76fb666589c1" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_5209bf1bc7c3df20c65f01dd9237fffc.setContent(html_8104caa25cc7fa529f1a76fb666589c1);\n", + " var html_a82f4fa9a936cdf7a9b46d261680312c = $(`<div id="html_a82f4fa9a936cdf7a9b46d261680312c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b6811c1a90c3b84078fab1a91a55da5b.setContent(html_a82f4fa9a936cdf7a9b46d261680312c);\n", " \n", "\n", - " circle_marker_a07337ae05caeb17f7de6e3f186b18d6.bindPopup(popup_5209bf1bc7c3df20c65f01dd9237fffc)\n", + " circle_marker_7d952e2bfd9896dccda7601d67745f58.bindPopup(popup_b6811c1a90c3b84078fab1a91a55da5b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2ae4f2887d6914f32933034c6c8d1e70 = L.circleMarker(\n", + " var circle_marker_92b4bf9f9aa11040cfd1dd6552fd8c97 = L.circleMarker(\n", " [37.76417974814643, -122.42287692579625],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_81b6a332b024b1bedbe7d1b741eda567 = L.popup({"maxWidth": "100%"});\n", + " var popup_495b7c059260f811739f6d97a727ca44 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e6c2a8a8ad51c4df2c607ecf78891db0 = $(`<div id="html_e6c2a8a8ad51c4df2c607ecf78891db0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_81b6a332b024b1bedbe7d1b741eda567.setContent(html_e6c2a8a8ad51c4df2c607ecf78891db0);\n", + " var html_46b05c7bb8b5adebb7315cf09c88ff49 = $(`<div id="html_46b05c7bb8b5adebb7315cf09c88ff49" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_495b7c059260f811739f6d97a727ca44.setContent(html_46b05c7bb8b5adebb7315cf09c88ff49);\n", " \n", "\n", - " circle_marker_2ae4f2887d6914f32933034c6c8d1e70.bindPopup(popup_81b6a332b024b1bedbe7d1b741eda567)\n", + " circle_marker_92b4bf9f9aa11040cfd1dd6552fd8c97.bindPopup(popup_495b7c059260f811739f6d97a727ca44)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_438c02625b671127a81761162d6e1150 = L.circleMarker(\n", + " var circle_marker_f159c7e0771b3eb4d1fef0bcace2d67a = L.circleMarker(\n", " [37.760537804214785, -122.41715126382405],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_1fc45f139b829ada3c06d51e52f9855e = L.popup({"maxWidth": "100%"});\n", + " var popup_40fe6bffa6c895e3075e8aaf88e2831d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_38fc0c2aaff4744f285d2a76a328473e = $(`<div id="html_38fc0c2aaff4744f285d2a76a328473e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_1fc45f139b829ada3c06d51e52f9855e.setContent(html_38fc0c2aaff4744f285d2a76a328473e);\n", + " var html_3786488628a17141f4a909849c41214b = $(`<div id="html_3786488628a17141f4a909849c41214b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_40fe6bffa6c895e3075e8aaf88e2831d.setContent(html_3786488628a17141f4a909849c41214b);\n", " \n", "\n", - " circle_marker_438c02625b671127a81761162d6e1150.bindPopup(popup_1fc45f139b829ada3c06d51e52f9855e)\n", + " circle_marker_f159c7e0771b3eb4d1fef0bcace2d67a.bindPopup(popup_40fe6bffa6c895e3075e8aaf88e2831d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_17718b021a60bfe3e24ac573c25ff056 = L.circleMarker(\n", + " var circle_marker_d5ca1a9643a3e0d9ee0850cf88c25568 = L.circleMarker(\n", " [37.74173662069288, -122.41070210763999],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_66cb5ed1342af046d5ffd0d39fadc813 = L.popup({"maxWidth": "100%"});\n", + " var popup_73af7a51ea2bb95f1aa258a915cba903 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d76364df63e91619ac8d0470c8f529fc = $(`<div id="html_d76364df63e91619ac8d0470c8f529fc" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_66cb5ed1342af046d5ffd0d39fadc813.setContent(html_d76364df63e91619ac8d0470c8f529fc);\n", + " var html_3a0161e4bbb99f478cf47462f9b43b7a = $(`<div id="html_3a0161e4bbb99f478cf47462f9b43b7a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_73af7a51ea2bb95f1aa258a915cba903.setContent(html_3a0161e4bbb99f478cf47462f9b43b7a);\n", " \n", "\n", - " circle_marker_17718b021a60bfe3e24ac573c25ff056.bindPopup(popup_66cb5ed1342af046d5ffd0d39fadc813)\n", + " circle_marker_d5ca1a9643a3e0d9ee0850cf88c25568.bindPopup(popup_73af7a51ea2bb95f1aa258a915cba903)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_437d51b57a3b15c5f977831ca31dbe42 = L.circleMarker(\n", + " var circle_marker_cda03729408e83232b9191bce0f758b1 = L.circleMarker(\n", " [37.74512952861252, -122.40778058291968],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_e1c1330e7e5a12938ceda0e5580b757f = L.popup({"maxWidth": "100%"});\n", + " var popup_4004246227f984897ef6ca44904b1051 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a2ad8332cf5b97e63ea17f334b1a2f0c = $(`<div id="html_a2ad8332cf5b97e63ea17f334b1a2f0c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_e1c1330e7e5a12938ceda0e5580b757f.setContent(html_a2ad8332cf5b97e63ea17f334b1a2f0c);\n", + " var html_f60e5b7c0785fe35d00c1065ba56feab = $(`<div id="html_f60e5b7c0785fe35d00c1065ba56feab" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_4004246227f984897ef6ca44904b1051.setContent(html_f60e5b7c0785fe35d00c1065ba56feab);\n", " \n", "\n", - " circle_marker_437d51b57a3b15c5f977831ca31dbe42.bindPopup(popup_e1c1330e7e5a12938ceda0e5580b757f)\n", + " circle_marker_cda03729408e83232b9191bce0f758b1.bindPopup(popup_4004246227f984897ef6ca44904b1051)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b0fa86654a00209dc586d947cba1968b = L.circleMarker(\n", + " var circle_marker_42dd92e323a3320ece9d2f43fd36faf9 = L.circleMarker(\n", " [37.75145743334203, -122.40606052669463],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_8d87d26ee1141b254ff8335277d240f3 = L.popup({"maxWidth": "100%"});\n", + " var popup_b7b6f0d75070d94495008887bfe3a72a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_fd7ef898945a05e51b426bff3a438f69 = $(`<div id="html_fd7ef898945a05e51b426bff3a438f69" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_8d87d26ee1141b254ff8335277d240f3.setContent(html_fd7ef898945a05e51b426bff3a438f69);\n", + " var html_8faa5fd73b41f13d4ed048947caac76b = $(`<div id="html_8faa5fd73b41f13d4ed048947caac76b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b7b6f0d75070d94495008887bfe3a72a.setContent(html_8faa5fd73b41f13d4ed048947caac76b);\n", " \n", "\n", - " circle_marker_b0fa86654a00209dc586d947cba1968b.bindPopup(popup_8d87d26ee1141b254ff8335277d240f3)\n", + " circle_marker_42dd92e323a3320ece9d2f43fd36faf9.bindPopup(popup_b7b6f0d75070d94495008887bfe3a72a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_5227efaed5e08cc0c716bf960a1114d9 = L.circleMarker(\n", + " var circle_marker_e6c5b5e9796a8385976e4a422cc280bb = L.circleMarker(\n", " [37.75526782189698, -122.40604437109245],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_cd4963f0ce01be4bec7f22d58b811bc5 = L.popup({"maxWidth": "100%"});\n", + " var popup_a188aa57e9e4ba2e31202e44533a54f4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a2eca4b49004e132ca21e31caa02476f = $(`<div id="html_a2eca4b49004e132ca21e31caa02476f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_cd4963f0ce01be4bec7f22d58b811bc5.setContent(html_a2eca4b49004e132ca21e31caa02476f);\n", + " var html_d7d7d5a1fc33c7679435eace35194c45 = $(`<div id="html_d7d7d5a1fc33c7679435eace35194c45" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a188aa57e9e4ba2e31202e44533a54f4.setContent(html_d7d7d5a1fc33c7679435eace35194c45);\n", " \n", "\n", - " circle_marker_5227efaed5e08cc0c716bf960a1114d9.bindPopup(popup_cd4963f0ce01be4bec7f22d58b811bc5)\n", + " circle_marker_e6c5b5e9796a8385976e4a422cc280bb.bindPopup(popup_a188aa57e9e4ba2e31202e44533a54f4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4c926cde6563b3fb776a4ac3f74ae363 = L.circleMarker(\n", + " var circle_marker_050afe7d07013b8449a084a64cfad7e2 = L.circleMarker(\n", " [37.74871935743222, -122.41004340162493],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_30abf5d0e2e2ce3ac46c02c5f5b9b992 = L.popup({"maxWidth": "100%"});\n", + " var popup_1bceeacc5da51b3680e404faaa11b528 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f1cf97f1e4dcc05fedff5f7f2ff96be8 = $(`<div id="html_f1cf97f1e4dcc05fedff5f7f2ff96be8" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_30abf5d0e2e2ce3ac46c02c5f5b9b992.setContent(html_f1cf97f1e4dcc05fedff5f7f2ff96be8);\n", + " var html_eac3faa0ebd9fd9d5198200e3e9c61ca = $(`<div id="html_eac3faa0ebd9fd9d5198200e3e9c61ca" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1bceeacc5da51b3680e404faaa11b528.setContent(html_eac3faa0ebd9fd9d5198200e3e9c61ca);\n", " \n", "\n", - " circle_marker_4c926cde6563b3fb776a4ac3f74ae363.bindPopup(popup_30abf5d0e2e2ce3ac46c02c5f5b9b992)\n", + " circle_marker_050afe7d07013b8449a084a64cfad7e2.bindPopup(popup_1bceeacc5da51b3680e404faaa11b528)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_587f0a1933af2c86983cfb44d3d50e2a = L.circleMarker(\n", + " var circle_marker_edda6d2e52642e731c0ec87a559fe73c = L.circleMarker(\n", " [37.75360537634322, -122.40414432663103],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_fc301154939e98f7c266ffe9eb748396 = L.popup({"maxWidth": "100%"});\n", + " var popup_b1553d235e64c8fe1427719ba3e9dcba = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_5be034904dfae4f3bd9c9f3e014cbfd0 = $(`<div id="html_5be034904dfae4f3bd9c9f3e014cbfd0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_fc301154939e98f7c266ffe9eb748396.setContent(html_5be034904dfae4f3bd9c9f3e014cbfd0);\n", + " var html_52fcb43a7e22cf12f5745757b4e5f95a = $(`<div id="html_52fcb43a7e22cf12f5745757b4e5f95a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b1553d235e64c8fe1427719ba3e9dcba.setContent(html_52fcb43a7e22cf12f5745757b4e5f95a);\n", " \n", "\n", - " circle_marker_587f0a1933af2c86983cfb44d3d50e2a.bindPopup(popup_fc301154939e98f7c266ffe9eb748396)\n", + " circle_marker_edda6d2e52642e731c0ec87a559fe73c.bindPopup(popup_b1553d235e64c8fe1427719ba3e9dcba)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e49c91362e8032a8a1aa35ddce156f0a = L.circleMarker(\n", + " var circle_marker_70bc2994e89b619b8042dcfaf9e75cd7 = L.circleMarker(\n", " [37.75231775479745, -122.41774596037905],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c918e94a2805c44e9bcebfca8625a20f = L.popup({"maxWidth": "100%"});\n", + " var popup_ddd529ca9b68bc76d5736d14538d9b10 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_8bcd1a183f389027cee59ce967953174 = $(`<div id="html_8bcd1a183f389027cee59ce967953174" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c918e94a2805c44e9bcebfca8625a20f.setContent(html_8bcd1a183f389027cee59ce967953174);\n", + " var html_ec80466b7f4caee70976c8e3f3e9b2ae = $(`<div id="html_ec80466b7f4caee70976c8e3f3e9b2ae" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ddd529ca9b68bc76d5736d14538d9b10.setContent(html_ec80466b7f4caee70976c8e3f3e9b2ae);\n", " \n", "\n", - " circle_marker_e49c91362e8032a8a1aa35ddce156f0a.bindPopup(popup_c918e94a2805c44e9bcebfca8625a20f)\n", + " circle_marker_70bc2994e89b619b8042dcfaf9e75cd7.bindPopup(popup_ddd529ca9b68bc76d5736d14538d9b10)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_02a4da98a1c62d39716fab0ac93f2299 = L.circleMarker(\n", + " var circle_marker_c0e1c3f2e7c5c203405410b3ff56cc1a = L.circleMarker(\n", " [37.74148457789174, -122.41170660507584],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_84ba8c9bf596cac31bf2f6f1bb52edda = L.popup({"maxWidth": "100%"});\n", + " var popup_df8f25d8b4f4052057f58a4eafbd6b51 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ae0e546845eeae3abedbcaead4222f19 = $(`<div id="html_ae0e546845eeae3abedbcaead4222f19" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_84ba8c9bf596cac31bf2f6f1bb52edda.setContent(html_ae0e546845eeae3abedbcaead4222f19);\n", + " var html_342e4ee1832cce717d607f52621c5a29 = $(`<div id="html_342e4ee1832cce717d607f52621c5a29" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_df8f25d8b4f4052057f58a4eafbd6b51.setContent(html_342e4ee1832cce717d607f52621c5a29);\n", " \n", "\n", - " circle_marker_02a4da98a1c62d39716fab0ac93f2299.bindPopup(popup_84ba8c9bf596cac31bf2f6f1bb52edda)\n", + " circle_marker_c0e1c3f2e7c5c203405410b3ff56cc1a.bindPopup(popup_df8f25d8b4f4052057f58a4eafbd6b51)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_cb451374de0d1ce94280cdae4f591483 = L.circleMarker(\n", + " var circle_marker_eea66f033ff422c631213cf633462801 = L.circleMarker(\n", " [37.746234470469986, -122.41278399769651],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_7ca89e8f5228964ff928edf56bc05ade = L.popup({"maxWidth": "100%"});\n", + " var popup_d61dec63286c0b97504a570630738ff6 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2a1d068c4a9fd71f98728ee66e92acef = $(`<div id="html_2a1d068c4a9fd71f98728ee66e92acef" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_7ca89e8f5228964ff928edf56bc05ade.setContent(html_2a1d068c4a9fd71f98728ee66e92acef);\n", + " var html_3f70cf70594ec58a12c554f4654c141d = $(`<div id="html_3f70cf70594ec58a12c554f4654c141d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_d61dec63286c0b97504a570630738ff6.setContent(html_3f70cf70594ec58a12c554f4654c141d);\n", " \n", "\n", - " circle_marker_cb451374de0d1ce94280cdae4f591483.bindPopup(popup_7ca89e8f5228964ff928edf56bc05ade)\n", + " circle_marker_eea66f033ff422c631213cf633462801.bindPopup(popup_d61dec63286c0b97504a570630738ff6)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_da2e29d79b05725d8552437c64bcb72a = L.circleMarker(\n", + " var circle_marker_f50824579516ffef72a2a21e11852225 = L.circleMarker(\n", " [37.751786210327225, -122.41401197674212],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_ec53b64c2860195886dc4782a9d20894 = L.popup({"maxWidth": "100%"});\n", + " var popup_4f6abc7b5b74d52290a6c0a40abcd01b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_225bfd71d6043540bf0e884ca7051cb5 = $(`<div id="html_225bfd71d6043540bf0e884ca7051cb5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_ec53b64c2860195886dc4782a9d20894.setContent(html_225bfd71d6043540bf0e884ca7051cb5);\n", + " var html_7a924b778bf5e3f6897b8ed72956eb03 = $(`<div id="html_7a924b778bf5e3f6897b8ed72956eb03" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_4f6abc7b5b74d52290a6c0a40abcd01b.setContent(html_7a924b778bf5e3f6897b8ed72956eb03);\n", " \n", "\n", - " circle_marker_da2e29d79b05725d8552437c64bcb72a.bindPopup(popup_ec53b64c2860195886dc4782a9d20894)\n", + " circle_marker_f50824579516ffef72a2a21e11852225.bindPopup(popup_4f6abc7b5b74d52290a6c0a40abcd01b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7eb9ca23c61e63f86aa487a4e4399576 = L.circleMarker(\n", + " var circle_marker_d988a5cedb509d3a9e2a1adff6b92ce6 = L.circleMarker(\n", " [37.75392082167846, -122.4139005439404],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_44c1928dee6453379d485cc28b9d648f = L.popup({"maxWidth": "100%"});\n", + " var popup_a1663d42d7188a8af4a309b1e74da47d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_80b40bcefc47ddc08b79b3b50889ccf2 = $(`<div id="html_80b40bcefc47ddc08b79b3b50889ccf2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_44c1928dee6453379d485cc28b9d648f.setContent(html_80b40bcefc47ddc08b79b3b50889ccf2);\n", + " var html_8a505cea9ce881d3e6eb490e60950176 = $(`<div id="html_8a505cea9ce881d3e6eb490e60950176" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a1663d42d7188a8af4a309b1e74da47d.setContent(html_8a505cea9ce881d3e6eb490e60950176);\n", " \n", "\n", - " circle_marker_7eb9ca23c61e63f86aa487a4e4399576.bindPopup(popup_44c1928dee6453379d485cc28b9d648f)\n", + " circle_marker_d988a5cedb509d3a9e2a1adff6b92ce6.bindPopup(popup_a1663d42d7188a8af4a309b1e74da47d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_64a82c71232f9fd9b1e6b3b876a0b02b = L.circleMarker(\n", + " var circle_marker_a54021d84b7e83465e6782a3c2c1330c = L.circleMarker(\n", " [37.74632521857674, -122.41191284883185],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_39e98855e98c868523d4d73923e0b0b5 = L.popup({"maxWidth": "100%"});\n", + " var popup_055e37b848a69c9357ec95c09381eb14 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_afe9c064f99396109ac36eba612b27d0 = $(`<div id="html_afe9c064f99396109ac36eba612b27d0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_39e98855e98c868523d4d73923e0b0b5.setContent(html_afe9c064f99396109ac36eba612b27d0);\n", + " var html_e98e857c13d5b4f11d1a9555e575293b = $(`<div id="html_e98e857c13d5b4f11d1a9555e575293b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_055e37b848a69c9357ec95c09381eb14.setContent(html_e98e857c13d5b4f11d1a9555e575293b);\n", " \n", "\n", - " circle_marker_64a82c71232f9fd9b1e6b3b876a0b02b.bindPopup(popup_39e98855e98c868523d4d73923e0b0b5)\n", + " circle_marker_a54021d84b7e83465e6782a3c2c1330c.bindPopup(popup_055e37b848a69c9357ec95c09381eb14)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ca6b8953cc6a031a2d094f09d6e72207 = L.circleMarker(\n", + " var circle_marker_0a2cd02a2fa55acd83df7ee9b39ec413 = L.circleMarker(\n", " [37.744138258925396, -122.40566585519643],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_2dfc44b550f034419df78712fe575c05 = L.popup({"maxWidth": "100%"});\n", + " var popup_fafd4b756277239e3efc3adc2f278d0e = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ffba94fa63a711469f661e5401fe43d8 = $(`<div id="html_ffba94fa63a711469f661e5401fe43d8" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_2dfc44b550f034419df78712fe575c05.setContent(html_ffba94fa63a711469f661e5401fe43d8);\n", + " var html_9bd498e2b2a94f6d091fbea6e9965b3b = $(`<div id="html_9bd498e2b2a94f6d091fbea6e9965b3b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_fafd4b756277239e3efc3adc2f278d0e.setContent(html_9bd498e2b2a94f6d091fbea6e9965b3b);\n", " \n", "\n", - " circle_marker_ca6b8953cc6a031a2d094f09d6e72207.bindPopup(popup_2dfc44b550f034419df78712fe575c05)\n", + " circle_marker_0a2cd02a2fa55acd83df7ee9b39ec413.bindPopup(popup_fafd4b756277239e3efc3adc2f278d0e)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e1cac47086b5b24a47f139459141a76b = L.circleMarker(\n", + " var circle_marker_8f7c694b9e6a7d141a019cc95c172e4c = L.circleMarker(\n", " [37.76209659106257, -122.41743903596992],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_344382ff9587765869b2b801ce4ade0b = L.popup({"maxWidth": "100%"});\n", + " var popup_ff0a267d5186c3aae3dd57a49677e04d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2bb3a7bc21358a073934bbce271202d4 = $(`<div id="html_2bb3a7bc21358a073934bbce271202d4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_344382ff9587765869b2b801ce4ade0b.setContent(html_2bb3a7bc21358a073934bbce271202d4);\n", + " var html_2bde68acde13f35e6f2926a7bdcfd2c3 = $(`<div id="html_2bde68acde13f35e6f2926a7bdcfd2c3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ff0a267d5186c3aae3dd57a49677e04d.setContent(html_2bde68acde13f35e6f2926a7bdcfd2c3);\n", " \n", "\n", - " circle_marker_e1cac47086b5b24a47f139459141a76b.bindPopup(popup_344382ff9587765869b2b801ce4ade0b)\n", + " circle_marker_8f7c694b9e6a7d141a019cc95c172e4c.bindPopup(popup_ff0a267d5186c3aae3dd57a49677e04d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e499e1312d5c4941f4bbe64f43456b70 = L.circleMarker(\n", + " var circle_marker_b97bb0f84bb77670c9ac9d6324bf90f1 = L.circleMarker(\n", " [37.755656776209086, -122.40797490641594],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_11b5234bc806ad166c4a0d933f858988 = L.popup({"maxWidth": "100%"});\n", + " var popup_06b4b7f03d45758f4f028a56425fe8e2 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_7a60cee1110fc5f7cfaf063cf68c01a7 = $(`<div id="html_7a60cee1110fc5f7cfaf063cf68c01a7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_11b5234bc806ad166c4a0d933f858988.setContent(html_7a60cee1110fc5f7cfaf063cf68c01a7);\n", + " var html_a60c80b715fe71ff4a815c1f2aecd938 = $(`<div id="html_a60c80b715fe71ff4a815c1f2aecd938" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_06b4b7f03d45758f4f028a56425fe8e2.setContent(html_a60c80b715fe71ff4a815c1f2aecd938);\n", " \n", "\n", - " circle_marker_e499e1312d5c4941f4bbe64f43456b70.bindPopup(popup_11b5234bc806ad166c4a0d933f858988)\n", + " circle_marker_b97bb0f84bb77670c9ac9d6324bf90f1.bindPopup(popup_06b4b7f03d45758f4f028a56425fe8e2)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c54f079eedfb5b0354de8a3d321807a0 = L.circleMarker(\n", + " var circle_marker_5972e02e7d8346931ec2592a25467644 = L.circleMarker(\n", " [37.76304044055552, -122.42601660166785],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_e9a33f8d1b936b7b9237a4b9be4fe252 = L.popup({"maxWidth": "100%"});\n", + " var popup_1174b0256f7d189181afa93e059b1e0c = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_70baad87e128d532b2ff465de391eefe = $(`<div id="html_70baad87e128d532b2ff465de391eefe" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_e9a33f8d1b936b7b9237a4b9be4fe252.setContent(html_70baad87e128d532b2ff465de391eefe);\n", + " var html_331f819cd7a63824a9ac51989487f52d = $(`<div id="html_331f819cd7a63824a9ac51989487f52d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1174b0256f7d189181afa93e059b1e0c.setContent(html_331f819cd7a63824a9ac51989487f52d);\n", " \n", "\n", - " circle_marker_c54f079eedfb5b0354de8a3d321807a0.bindPopup(popup_e9a33f8d1b936b7b9237a4b9be4fe252)\n", + " circle_marker_5972e02e7d8346931ec2592a25467644.bindPopup(popup_1174b0256f7d189181afa93e059b1e0c)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7ce4f1ad2b0313507c8ead9b73bbb385 = L.circleMarker(\n", + " var circle_marker_79c9eb4945a4ad331551d96e576df59b = L.circleMarker(\n", " [37.76128158121274, -122.42475869912616],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_1e6cb573c30f10bbaa6d408be4f4a55c = L.popup({"maxWidth": "100%"});\n", + " var popup_bc489218d66d52b72f63c5f7137e5de4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_698dfe40ecfc05a110a15559dd39864a = $(`<div id="html_698dfe40ecfc05a110a15559dd39864a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_1e6cb573c30f10bbaa6d408be4f4a55c.setContent(html_698dfe40ecfc05a110a15559dd39864a);\n", + " var html_5fb288936978a46d1fcc3a51ad627075 = $(`<div id="html_5fb288936978a46d1fcc3a51ad627075" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_bc489218d66d52b72f63c5f7137e5de4.setContent(html_5fb288936978a46d1fcc3a51ad627075);\n", " \n", "\n", - " circle_marker_7ce4f1ad2b0313507c8ead9b73bbb385.bindPopup(popup_1e6cb573c30f10bbaa6d408be4f4a55c)\n", + " circle_marker_79c9eb4945a4ad331551d96e576df59b.bindPopup(popup_bc489218d66d52b72f63c5f7137e5de4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_497ba6defe9eb974ecd1cb06abb845c3 = L.circleMarker(\n", + " var circle_marker_2bfb06e7864259125db9b36369e09644 = L.circleMarker(\n", " [37.75263168395759, -122.42442533056142],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_a35f6ce219faef6254620cd4eeb56a4d = L.popup({"maxWidth": "100%"});\n", + " var popup_fad3d3a7ea4527a8de44c94c81d4924f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_621b9ed5c6d06c5db5f2faf1972332aa = $(`<div id="html_621b9ed5c6d06c5db5f2faf1972332aa" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_a35f6ce219faef6254620cd4eeb56a4d.setContent(html_621b9ed5c6d06c5db5f2faf1972332aa);\n", + " var html_c7ab850300c6d78f1db57582b3864c08 = $(`<div id="html_c7ab850300c6d78f1db57582b3864c08" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_fad3d3a7ea4527a8de44c94c81d4924f.setContent(html_c7ab850300c6d78f1db57582b3864c08);\n", " \n", "\n", - " circle_marker_497ba6defe9eb974ecd1cb06abb845c3.bindPopup(popup_a35f6ce219faef6254620cd4eeb56a4d)\n", + " circle_marker_2bfb06e7864259125db9b36369e09644.bindPopup(popup_fad3d3a7ea4527a8de44c94c81d4924f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0194c594e63ee3b36b428114b2db61b3 = L.circleMarker(\n", + " var circle_marker_6242e0ce7f75f8f131b6f3348b54b4e6 = L.circleMarker(\n", " [37.76059258583783, -122.4254136565183],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_7a2193bc5db1dc857c8963d5184a9feb = L.popup({"maxWidth": "100%"});\n", + " var popup_65b9af84226cb34f984f9d20e058caed = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_b1f5f7297948a2828c822c3ad718ffa0 = $(`<div id="html_b1f5f7297948a2828c822c3ad718ffa0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_7a2193bc5db1dc857c8963d5184a9feb.setContent(html_b1f5f7297948a2828c822c3ad718ffa0);\n", + " var html_8b4de873d73d7155f55447f763e49354 = $(`<div id="html_8b4de873d73d7155f55447f763e49354" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_65b9af84226cb34f984f9d20e058caed.setContent(html_8b4de873d73d7155f55447f763e49354);\n", " \n", "\n", - " circle_marker_0194c594e63ee3b36b428114b2db61b3.bindPopup(popup_7a2193bc5db1dc857c8963d5184a9feb)\n", + " circle_marker_6242e0ce7f75f8f131b6f3348b54b4e6.bindPopup(popup_65b9af84226cb34f984f9d20e058caed)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_431e38b53fe70f8b578a10a47b4f0cc1 = L.circleMarker(\n", + " var circle_marker_2632948a703a34e525678d9eb5d770ba = L.circleMarker(\n", " [37.75104056209607, -122.40794615669083],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4d334d1a122ae72320694b9eb26af06e = L.popup({"maxWidth": "100%"});\n", + " var popup_9c2e8cb99085b5fdc4b6b4640ad8f658 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_698148d1df74f05389e594297fe297b9 = $(`<div id="html_698148d1df74f05389e594297fe297b9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4d334d1a122ae72320694b9eb26af06e.setContent(html_698148d1df74f05389e594297fe297b9);\n", + " var html_7f246df4c3747b65a0d87423b904606d = $(`<div id="html_7f246df4c3747b65a0d87423b904606d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9c2e8cb99085b5fdc4b6b4640ad8f658.setContent(html_7f246df4c3747b65a0d87423b904606d);\n", " \n", "\n", - " circle_marker_431e38b53fe70f8b578a10a47b4f0cc1.bindPopup(popup_4d334d1a122ae72320694b9eb26af06e)\n", + " circle_marker_2632948a703a34e525678d9eb5d770ba.bindPopup(popup_9c2e8cb99085b5fdc4b6b4640ad8f658)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_af38d66bf8cd82f34f4f056506879feb = L.circleMarker(\n", + " var circle_marker_fce7f6fdd270de7443427175e5617a9f = L.circleMarker(\n", " [37.73391883126035, -122.4181720236561],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_0e11e5cf1fae0daa0934a56ee77d94b0 = L.popup({"maxWidth": "100%"});\n", + " var popup_b3ce944eb64cc93d81595f5bc9c9cea0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_1a2a093f29393c3be875179e65ae716a = $(`<div id="html_1a2a093f29393c3be875179e65ae716a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_0e11e5cf1fae0daa0934a56ee77d94b0.setContent(html_1a2a093f29393c3be875179e65ae716a);\n", + " var html_556006d4a7281c5a2743d72a886dfccf = $(`<div id="html_556006d4a7281c5a2743d72a886dfccf" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b3ce944eb64cc93d81595f5bc9c9cea0.setContent(html_556006d4a7281c5a2743d72a886dfccf);\n", " \n", "\n", - " circle_marker_af38d66bf8cd82f34f4f056506879feb.bindPopup(popup_0e11e5cf1fae0daa0934a56ee77d94b0)\n", + " circle_marker_fce7f6fdd270de7443427175e5617a9f.bindPopup(popup_b3ce944eb64cc93d81595f5bc9c9cea0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f2b66470696f7f14b56b21a50b892971 = L.circleMarker(\n", + " var circle_marker_9edb577c5df20bb8a8287c16595ca66e = L.circleMarker(\n", " [37.747082929796356, -122.41075451027352],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9212f9a7ee6a96a7c4968fae1dbd6a7d = L.popup({"maxWidth": "100%"});\n", + " var popup_0cded0a9561fcbd72cb6fa1ca64eedc9 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d625b7dd551df99dd23ba649f625396d = $(`<div id="html_d625b7dd551df99dd23ba649f625396d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9212f9a7ee6a96a7c4968fae1dbd6a7d.setContent(html_d625b7dd551df99dd23ba649f625396d);\n", + " var html_676c10b28b2ac7fc465c1840b4f07de1 = $(`<div id="html_676c10b28b2ac7fc465c1840b4f07de1" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_0cded0a9561fcbd72cb6fa1ca64eedc9.setContent(html_676c10b28b2ac7fc465c1840b4f07de1);\n", " \n", "\n", - " circle_marker_f2b66470696f7f14b56b21a50b892971.bindPopup(popup_9212f9a7ee6a96a7c4968fae1dbd6a7d)\n", + " circle_marker_9edb577c5df20bb8a8287c16595ca66e.bindPopup(popup_0cded0a9561fcbd72cb6fa1ca64eedc9)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7cf1334b4eda64622a22be7c3fac34b9 = L.circleMarker(\n", + " var circle_marker_f7826f2f61f0182d07e9b0c1f4746f92 = L.circleMarker(\n", " [37.7612218618984, -122.41012514709995],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_dc64f2f94843dba80d014fd194dcef1a = L.popup({"maxWidth": "100%"});\n", + " var popup_6f28539273b2fa07f125e3ea13a2ea4d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_7e7ca3a90087e67d13d5b7cc7135a004 = $(`<div id="html_7e7ca3a90087e67d13d5b7cc7135a004" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_dc64f2f94843dba80d014fd194dcef1a.setContent(html_7e7ca3a90087e67d13d5b7cc7135a004);\n", + " var html_969de175cd70bffe0c5f42b9db74429a = $(`<div id="html_969de175cd70bffe0c5f42b9db74429a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_6f28539273b2fa07f125e3ea13a2ea4d.setContent(html_969de175cd70bffe0c5f42b9db74429a);\n", " \n", "\n", - " circle_marker_7cf1334b4eda64622a22be7c3fac34b9.bindPopup(popup_dc64f2f94843dba80d014fd194dcef1a)\n", + " circle_marker_f7826f2f61f0182d07e9b0c1f4746f92.bindPopup(popup_6f28539273b2fa07f125e3ea13a2ea4d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_942f69f4d623f7e782e85841ec048944 = L.circleMarker(\n", + " var circle_marker_31c2edd53f69f7ce14f0b8c9e36cd24a = L.circleMarker(\n", " [37.73742797318685, -122.4099223611867],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_576b4f1a203b0bf680b9bccd5269bb5f = L.popup({"maxWidth": "100%"});\n", + " var popup_fdf670cb807b65ecb5ef74e3081f1611 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2a5540dd128a9ced964a76e333bfdcd4 = $(`<div id="html_2a5540dd128a9ced964a76e333bfdcd4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_576b4f1a203b0bf680b9bccd5269bb5f.setContent(html_2a5540dd128a9ced964a76e333bfdcd4);\n", + " var html_baa0d13731edf7ac587416af515bb454 = $(`<div id="html_baa0d13731edf7ac587416af515bb454" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_fdf670cb807b65ecb5ef74e3081f1611.setContent(html_baa0d13731edf7ac587416af515bb454);\n", " \n", "\n", - " circle_marker_942f69f4d623f7e782e85841ec048944.bindPopup(popup_576b4f1a203b0bf680b9bccd5269bb5f)\n", + " circle_marker_31c2edd53f69f7ce14f0b8c9e36cd24a.bindPopup(popup_fdf670cb807b65ecb5ef74e3081f1611)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d1874c278995b7bc943299eebbc59044 = L.circleMarker(\n", + " var circle_marker_812dbe343c491cba9b40f7eba243fe1c = L.circleMarker(\n", " [37.73341096742464, -122.41526238849185],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_d115573d35ec74fad645cd7f68ef065b = L.popup({"maxWidth": "100%"});\n", + " var popup_1cf5868f31bb83d7847e05c4b608db39 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_971d537c434a00fb208caa2de21bbece = $(`<div id="html_971d537c434a00fb208caa2de21bbece" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_d115573d35ec74fad645cd7f68ef065b.setContent(html_971d537c434a00fb208caa2de21bbece);\n", + " var html_0302224c87bb22b64b0a22a8b9e30eca = $(`<div id="html_0302224c87bb22b64b0a22a8b9e30eca" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1cf5868f31bb83d7847e05c4b608db39.setContent(html_0302224c87bb22b64b0a22a8b9e30eca);\n", " \n", "\n", - " circle_marker_d1874c278995b7bc943299eebbc59044.bindPopup(popup_d115573d35ec74fad645cd7f68ef065b)\n", + " circle_marker_812dbe343c491cba9b40f7eba243fe1c.bindPopup(popup_1cf5868f31bb83d7847e05c4b608db39)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_763061accd7d3e4715d3a91d9f1cc6a2 = L.circleMarker(\n", + " var circle_marker_147c1cd533f1c3016b1eb7b2c9783463 = L.circleMarker(\n", " [37.73218433441669, -122.42346688880976],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_34a442317fd1c7682debf4a09bf2980c = L.popup({"maxWidth": "100%"});\n", + " var popup_26bf4fd449d2ab3c6e7acb3b6324f33b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d10b12c0de41d68927fdea6cbe48ec34 = $(`<div id="html_d10b12c0de41d68927fdea6cbe48ec34" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_34a442317fd1c7682debf4a09bf2980c.setContent(html_d10b12c0de41d68927fdea6cbe48ec34);\n", + " var html_446eddaade78752cb61a4cee406f47b7 = $(`<div id="html_446eddaade78752cb61a4cee406f47b7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_26bf4fd449d2ab3c6e7acb3b6324f33b.setContent(html_446eddaade78752cb61a4cee406f47b7);\n", " \n", "\n", - " circle_marker_763061accd7d3e4715d3a91d9f1cc6a2.bindPopup(popup_34a442317fd1c7682debf4a09bf2980c)\n", + " circle_marker_147c1cd533f1c3016b1eb7b2c9783463.bindPopup(popup_26bf4fd449d2ab3c6e7acb3b6324f33b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_79ba91455c38154b615faa12152b22f8 = L.circleMarker(\n", + " var circle_marker_cc29a868bcf0ba8e7d456689ccc928b4 = L.circleMarker(\n", " [37.73921897271669, -122.408294261493],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_d9dc12c0b8a465ff2459e47a9ced0f46 = L.popup({"maxWidth": "100%"});\n", + " var popup_a062b291e399272d4760855d0697df40 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_be98f08fc743f08f0860a753efcde7f3 = $(`<div id="html_be98f08fc743f08f0860a753efcde7f3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_d9dc12c0b8a465ff2459e47a9ced0f46.setContent(html_be98f08fc743f08f0860a753efcde7f3);\n", + " var html_f3ab7d9a8b8160b91e68d2bb304902c5 = $(`<div id="html_f3ab7d9a8b8160b91e68d2bb304902c5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a062b291e399272d4760855d0697df40.setContent(html_f3ab7d9a8b8160b91e68d2bb304902c5);\n", " \n", "\n", - " circle_marker_79ba91455c38154b615faa12152b22f8.bindPopup(popup_d9dc12c0b8a465ff2459e47a9ced0f46)\n", + " circle_marker_cc29a868bcf0ba8e7d456689ccc928b4.bindPopup(popup_a062b291e399272d4760855d0697df40)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_6ef312545a37f0fb82bbb9a51b6f38b0 = L.circleMarker(\n", + " var circle_marker_aa01a8cde18f81593cccaeda7c2384aa = L.circleMarker(\n", " [37.763334928138605, -122.41975219244812],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_92458f313d067ce6d1d1ec1259da6ae8 = L.popup({"maxWidth": "100%"});\n", + " var popup_4333d92cc030cc4f2157a75da29fc1ef = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_8e10c513afe025637fd353e596e9cdf2 = $(`<div id="html_8e10c513afe025637fd353e596e9cdf2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_92458f313d067ce6d1d1ec1259da6ae8.setContent(html_8e10c513afe025637fd353e596e9cdf2);\n", + " var html_389b62c5682f85accc660090278b4f3b = $(`<div id="html_389b62c5682f85accc660090278b4f3b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_4333d92cc030cc4f2157a75da29fc1ef.setContent(html_389b62c5682f85accc660090278b4f3b);\n", " \n", "\n", - " circle_marker_6ef312545a37f0fb82bbb9a51b6f38b0.bindPopup(popup_92458f313d067ce6d1d1ec1259da6ae8)\n", + " circle_marker_aa01a8cde18f81593cccaeda7c2384aa.bindPopup(popup_4333d92cc030cc4f2157a75da29fc1ef)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_48489ee85639165a98c5772a5a9e2906 = L.circleMarker(\n", + " var circle_marker_b38823d9d36474dfe4ea732cca30d2a9 = L.circleMarker(\n", " [37.75283439229456, -122.42436907613654],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c7294a2b6567283d6f8d4df0d871f671 = L.popup({"maxWidth": "100%"});\n", + " var popup_7bc3e846df9b623bcbebdf88fb0adb1c = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_fb03bc48cfefb90a1935d5a472bfb1bc = $(`<div id="html_fb03bc48cfefb90a1935d5a472bfb1bc" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c7294a2b6567283d6f8d4df0d871f671.setContent(html_fb03bc48cfefb90a1935d5a472bfb1bc);\n", + " var html_ca701e12b46b76de01f7d6848ae76bab = $(`<div id="html_ca701e12b46b76de01f7d6848ae76bab" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_7bc3e846df9b623bcbebdf88fb0adb1c.setContent(html_ca701e12b46b76de01f7d6848ae76bab);\n", " \n", "\n", - " circle_marker_48489ee85639165a98c5772a5a9e2906.bindPopup(popup_c7294a2b6567283d6f8d4df0d871f671)\n", + " circle_marker_b38823d9d36474dfe4ea732cca30d2a9.bindPopup(popup_7bc3e846df9b623bcbebdf88fb0adb1c)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a30a203515c77d6ec3c3a248f046375f = L.circleMarker(\n", + " var circle_marker_5c798b64fc0be66319cf68d46291ef1d = L.circleMarker(\n", " [37.73969735334643, -122.41382634618964],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_61b35134a2e64ab909e14ffdde76ea02 = L.popup({"maxWidth": "100%"});\n", + " var popup_988917cdb9b4a577718ec0812bbd09f3 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f5ca4c360b6a42976dfe233408aeb177 = $(`<div id="html_f5ca4c360b6a42976dfe233408aeb177" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_61b35134a2e64ab909e14ffdde76ea02.setContent(html_f5ca4c360b6a42976dfe233408aeb177);\n", + " var html_0479811ebc9c50238ee92a0e37b709b7 = $(`<div id="html_0479811ebc9c50238ee92a0e37b709b7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_988917cdb9b4a577718ec0812bbd09f3.setContent(html_0479811ebc9c50238ee92a0e37b709b7);\n", " \n", "\n", - " circle_marker_a30a203515c77d6ec3c3a248f046375f.bindPopup(popup_61b35134a2e64ab909e14ffdde76ea02)\n", + " circle_marker_5c798b64fc0be66319cf68d46291ef1d.bindPopup(popup_988917cdb9b4a577718ec0812bbd09f3)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a9d5184c4adad23c0ab98e14e38d1443 = L.circleMarker(\n", + " var circle_marker_b9d55c1f9d5faebf542b8ea73cb81882 = L.circleMarker(\n", " [37.75257710605992, -122.40470322706904],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_47464bfec4cabf5ef0c909b6a281c352 = L.popup({"maxWidth": "100%"});\n", + " var popup_544f04a75a59e12311c41adbb0577fa0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_de14a9ae1e17c9ce138330a2b2b7e665 = $(`<div id="html_de14a9ae1e17c9ce138330a2b2b7e665" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_47464bfec4cabf5ef0c909b6a281c352.setContent(html_de14a9ae1e17c9ce138330a2b2b7e665);\n", + " var html_deb852fb3f9e25cbc0cd67038bcb6498 = $(`<div id="html_deb852fb3f9e25cbc0cd67038bcb6498" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_544f04a75a59e12311c41adbb0577fa0.setContent(html_deb852fb3f9e25cbc0cd67038bcb6498);\n", " \n", "\n", - " circle_marker_a9d5184c4adad23c0ab98e14e38d1443.bindPopup(popup_47464bfec4cabf5ef0c909b6a281c352)\n", + " circle_marker_b9d55c1f9d5faebf542b8ea73cb81882.bindPopup(popup_544f04a75a59e12311c41adbb0577fa0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_cf1d444b2af04bac688bb7ad024d7356 = L.circleMarker(\n", + " var circle_marker_126ef4ebfd5f909122c81d68cf882d06 = L.circleMarker(\n", " [37.75175323687019, -122.4148893680859],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f28a4fe5aaa1a6e0414a067557177740 = L.popup({"maxWidth": "100%"});\n", + " var popup_ea94e77886547e9817f58df02f2dc697 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_52cfe32d3dd6c32436e62e450ef0c1bb = $(`<div id="html_52cfe32d3dd6c32436e62e450ef0c1bb" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f28a4fe5aaa1a6e0414a067557177740.setContent(html_52cfe32d3dd6c32436e62e450ef0c1bb);\n", + " var html_7a0cc33bf20f9fad2e973d66a79fee39 = $(`<div id="html_7a0cc33bf20f9fad2e973d66a79fee39" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ea94e77886547e9817f58df02f2dc697.setContent(html_7a0cc33bf20f9fad2e973d66a79fee39);\n", " \n", "\n", - " circle_marker_cf1d444b2af04bac688bb7ad024d7356.bindPopup(popup_f28a4fe5aaa1a6e0414a067557177740)\n", + " circle_marker_126ef4ebfd5f909122c81d68cf882d06.bindPopup(popup_ea94e77886547e9817f58df02f2dc697)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_cb9e2b11f43401a8bea300e3f3916543 = L.circleMarker(\n", + " var circle_marker_ef198e22a9104529321b4cf1c3a167f2 = L.circleMarker(\n", " [37.74223349220518, -122.40991900141367],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f067932381ac63c1001831dcaa87de3d = L.popup({"maxWidth": "100%"});\n", + " var popup_07f672925426dce119cdc2d47af2600b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6a66201bb6ca10522ab0f4a4182d7e0d = $(`<div id="html_6a66201bb6ca10522ab0f4a4182d7e0d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f067932381ac63c1001831dcaa87de3d.setContent(html_6a66201bb6ca10522ab0f4a4182d7e0d);\n", + " var html_d1a824446895f207fa1bc79d66345a0c = $(`<div id="html_d1a824446895f207fa1bc79d66345a0c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_07f672925426dce119cdc2d47af2600b.setContent(html_d1a824446895f207fa1bc79d66345a0c);\n", " \n", "\n", - " circle_marker_cb9e2b11f43401a8bea300e3f3916543.bindPopup(popup_f067932381ac63c1001831dcaa87de3d)\n", + " circle_marker_ef198e22a9104529321b4cf1c3a167f2.bindPopup(popup_07f672925426dce119cdc2d47af2600b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_404d3cefc1a7e48d15318a56a04310d8 = L.circleMarker(\n", + " var circle_marker_cdb86c55fb20a939a54fdb57e81ec009 = L.circleMarker(\n", " [37.7387367287149, -122.41840106253402],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_315c0497310ba79c4303348895e5b074 = L.popup({"maxWidth": "100%"});\n", + " var popup_69ac58baedc6aa633bb804bde62a3034 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_af61fa9dc94eeb2290f49a2581685af7 = $(`<div id="html_af61fa9dc94eeb2290f49a2581685af7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_315c0497310ba79c4303348895e5b074.setContent(html_af61fa9dc94eeb2290f49a2581685af7);\n", + " var html_4ce9d913e6a67d49667ece1f86530ac4 = $(`<div id="html_4ce9d913e6a67d49667ece1f86530ac4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_69ac58baedc6aa633bb804bde62a3034.setContent(html_4ce9d913e6a67d49667ece1f86530ac4);\n", " \n", "\n", - " circle_marker_404d3cefc1a7e48d15318a56a04310d8.bindPopup(popup_315c0497310ba79c4303348895e5b074)\n", + " circle_marker_cdb86c55fb20a939a54fdb57e81ec009.bindPopup(popup_69ac58baedc6aa633bb804bde62a3034)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_dbf0bba945da4bd896a93f6c841f72a2 = L.circleMarker(\n", + " var circle_marker_bfecd7a92c535840aa87124e1d575494 = L.circleMarker(\n", " [37.76389286561216, -122.42381965154172],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c14575c13892fff8d18869c9ad7275f3 = L.popup({"maxWidth": "100%"});\n", + " var popup_851902f77e3ca4c599b5288b88aed75f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_79ad19239f3d56e24976c9ff29d586d9 = $(`<div id="html_79ad19239f3d56e24976c9ff29d586d9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c14575c13892fff8d18869c9ad7275f3.setContent(html_79ad19239f3d56e24976c9ff29d586d9);\n", + " var html_56d9cc298d9854c1e7e58dff4482425f = $(`<div id="html_56d9cc298d9854c1e7e58dff4482425f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_851902f77e3ca4c599b5288b88aed75f.setContent(html_56d9cc298d9854c1e7e58dff4482425f);\n", " \n", "\n", - " circle_marker_dbf0bba945da4bd896a93f6c841f72a2.bindPopup(popup_c14575c13892fff8d18869c9ad7275f3)\n", + " circle_marker_bfecd7a92c535840aa87124e1d575494.bindPopup(popup_851902f77e3ca4c599b5288b88aed75f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0942c5d0e42a9f1ac93833d6fd201968 = L.circleMarker(\n", + " var circle_marker_d93df16d8ae0d4e478e0662185311741 = L.circleMarker(\n", " [37.748347233277535, -122.40967803988173],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4bfc2939fbdeb8496d3b40f7b28c973c = L.popup({"maxWidth": "100%"});\n", + " var popup_aae3f7514c9249501ab1b36bbe61d3a3 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_64d72aa4d20d0b753c84ac8df8105284 = $(`<div id="html_64d72aa4d20d0b753c84ac8df8105284" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4bfc2939fbdeb8496d3b40f7b28c973c.setContent(html_64d72aa4d20d0b753c84ac8df8105284);\n", + " var html_cbf567b9ff31fcafdbfccb7b9fc60bd3 = $(`<div id="html_cbf567b9ff31fcafdbfccb7b9fc60bd3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_aae3f7514c9249501ab1b36bbe61d3a3.setContent(html_cbf567b9ff31fcafdbfccb7b9fc60bd3);\n", " \n", "\n", - " circle_marker_0942c5d0e42a9f1ac93833d6fd201968.bindPopup(popup_4bfc2939fbdeb8496d3b40f7b28c973c)\n", + " circle_marker_d93df16d8ae0d4e478e0662185311741.bindPopup(popup_aae3f7514c9249501ab1b36bbe61d3a3)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_877773663a19bc45fe9ca69cd3beabc6 = L.circleMarker(\n", + " var circle_marker_913ad2c93e1037fb79372eb3e9c1ec06 = L.circleMarker(\n", " [37.74026120078767, -122.42276619176752],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_926e18691fd672b96a90453ce3cc94b1 = L.popup({"maxWidth": "100%"});\n", + " var popup_4ccf9e91205d2b6c8b4c8480a12359c5 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2dc0eb0eb652362e75032881ba6340a3 = $(`<div id="html_2dc0eb0eb652362e75032881ba6340a3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_926e18691fd672b96a90453ce3cc94b1.setContent(html_2dc0eb0eb652362e75032881ba6340a3);\n", + " var html_03ffe92bfbaa8d8c9fe0e21f57b09b6b = $(`<div id="html_03ffe92bfbaa8d8c9fe0e21f57b09b6b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_4ccf9e91205d2b6c8b4c8480a12359c5.setContent(html_03ffe92bfbaa8d8c9fe0e21f57b09b6b);\n", " \n", "\n", - " circle_marker_877773663a19bc45fe9ca69cd3beabc6.bindPopup(popup_926e18691fd672b96a90453ce3cc94b1)\n", + " circle_marker_913ad2c93e1037fb79372eb3e9c1ec06.bindPopup(popup_4ccf9e91205d2b6c8b4c8480a12359c5)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_64d82dd816cd47a2950c68bd8feb7ef5 = L.circleMarker(\n", + " var circle_marker_e9ae20587b14c4ccadff0c90ff55b789 = L.circleMarker(\n", " [37.75539837180495, -122.42060974443976],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_d4487684cc5c2f500a190ab006d539a1 = L.popup({"maxWidth": "100%"});\n", + " var popup_5556804e82db4a7a4817f5d18a4e9530 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d9aafb6c8e19f06a2dd56a86a00bb371 = $(`<div id="html_d9aafb6c8e19f06a2dd56a86a00bb371" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_d4487684cc5c2f500a190ab006d539a1.setContent(html_d9aafb6c8e19f06a2dd56a86a00bb371);\n", + " var html_471969533f6c78f5bab9123917f00b99 = $(`<div id="html_471969533f6c78f5bab9123917f00b99" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_5556804e82db4a7a4817f5d18a4e9530.setContent(html_471969533f6c78f5bab9123917f00b99);\n", " \n", "\n", - " circle_marker_64d82dd816cd47a2950c68bd8feb7ef5.bindPopup(popup_d4487684cc5c2f500a190ab006d539a1)\n", + " circle_marker_e9ae20587b14c4ccadff0c90ff55b789.bindPopup(popup_5556804e82db4a7a4817f5d18a4e9530)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ea557925386172dbeee9ea399ffca257 = L.circleMarker(\n", + " var circle_marker_95916d6bc8c7f6b5c60e178983f9b8cd = L.circleMarker(\n", " [37.73770106674906, -122.41892417399505],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f27129db8614159bc8e4a8dcd1ff56c5 = L.popup({"maxWidth": "100%"});\n", + " var popup_9804f9dbccac123e857380e4e54f8c29 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e871a832517adba370824012e5bd040d = $(`<div id="html_e871a832517adba370824012e5bd040d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f27129db8614159bc8e4a8dcd1ff56c5.setContent(html_e871a832517adba370824012e5bd040d);\n", + " var html_a74a41c81b6df248723881c58b1ba0e1 = $(`<div id="html_a74a41c81b6df248723881c58b1ba0e1" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9804f9dbccac123e857380e4e54f8c29.setContent(html_a74a41c81b6df248723881c58b1ba0e1);\n", " \n", "\n", - " circle_marker_ea557925386172dbeee9ea399ffca257.bindPopup(popup_f27129db8614159bc8e4a8dcd1ff56c5)\n", + " circle_marker_95916d6bc8c7f6b5c60e178983f9b8cd.bindPopup(popup_9804f9dbccac123e857380e4e54f8c29)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_84659a636a7bbdd9698674393412ba23 = L.circleMarker(\n", + " var circle_marker_9dc59619e9021e63162ec1aa17534917 = L.circleMarker(\n", " [37.74708820953235, -122.41121543828048],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6d270bbffb1a56d9a5faa3733cf3e750 = L.popup({"maxWidth": "100%"});\n", + " var popup_5d735bb8a6cb12615671187de7534f1d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d02a08917bba0ea5842607db9edcf5ca = $(`<div id="html_d02a08917bba0ea5842607db9edcf5ca" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6d270bbffb1a56d9a5faa3733cf3e750.setContent(html_d02a08917bba0ea5842607db9edcf5ca);\n", + " var html_7c3685c1af65b6e59328113057c32d8d = $(`<div id="html_7c3685c1af65b6e59328113057c32d8d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_5d735bb8a6cb12615671187de7534f1d.setContent(html_7c3685c1af65b6e59328113057c32d8d);\n", " \n", "\n", - " circle_marker_84659a636a7bbdd9698674393412ba23.bindPopup(popup_6d270bbffb1a56d9a5faa3733cf3e750)\n", + " circle_marker_9dc59619e9021e63162ec1aa17534917.bindPopup(popup_5d735bb8a6cb12615671187de7534f1d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_3fbc022a5f0d41caa7619ec7a7f30e3a = L.circleMarker(\n", + " var circle_marker_8ae02684f5eeb65d764d7db8dfb1e469 = L.circleMarker(\n", " [37.76225919844404, -122.41486518168091],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f07ba93f1b04149a9d09be17bbb0496d = L.popup({"maxWidth": "100%"});\n", + " var popup_0a11603adff6312c5093a5c5f98759d0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a0ce8b5c05d0c0e56973fad8f3736177 = $(`<div id="html_a0ce8b5c05d0c0e56973fad8f3736177" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f07ba93f1b04149a9d09be17bbb0496d.setContent(html_a0ce8b5c05d0c0e56973fad8f3736177);\n", + " var html_3d923b8e6008a885f2e3310e1490efca = $(`<div id="html_3d923b8e6008a885f2e3310e1490efca" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_0a11603adff6312c5093a5c5f98759d0.setContent(html_3d923b8e6008a885f2e3310e1490efca);\n", " \n", "\n", - " circle_marker_3fbc022a5f0d41caa7619ec7a7f30e3a.bindPopup(popup_f07ba93f1b04149a9d09be17bbb0496d)\n", + " circle_marker_8ae02684f5eeb65d764d7db8dfb1e469.bindPopup(popup_0a11603adff6312c5093a5c5f98759d0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d91b7253ab95d975e276669ca53e2f67 = L.circleMarker(\n", + " var circle_marker_2b70943814145cb0fec5cd5607a1f004 = L.circleMarker(\n", " [37.740568264758494, -122.41163237344158],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f30f511d8032e1c97839271170a3a8bd = L.popup({"maxWidth": "100%"});\n", + " var popup_7bc4f02096a8c8cac24b99743671c28c = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e739f579ce2ef289e75a9eecacc71ed9 = $(`<div id="html_e739f579ce2ef289e75a9eecacc71ed9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f30f511d8032e1c97839271170a3a8bd.setContent(html_e739f579ce2ef289e75a9eecacc71ed9);\n", + " var html_b60d072164fbb12f8d24739bda434d6b = $(`<div id="html_b60d072164fbb12f8d24739bda434d6b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_7bc4f02096a8c8cac24b99743671c28c.setContent(html_b60d072164fbb12f8d24739bda434d6b);\n", " \n", "\n", - " circle_marker_d91b7253ab95d975e276669ca53e2f67.bindPopup(popup_f30f511d8032e1c97839271170a3a8bd)\n", + " circle_marker_2b70943814145cb0fec5cd5607a1f004.bindPopup(popup_7bc4f02096a8c8cac24b99743671c28c)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c8610443d2fd6c1e7adc515d1c7be849 = L.circleMarker(\n", + " var circle_marker_c5742761d137481180a00a5ed24d48cd = L.circleMarker(\n", " [37.744682871447594, -122.42039964169358],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_7da5d5a41dcf564545ee0b8132653144 = L.popup({"maxWidth": "100%"});\n", + " var popup_ce231303d18b782a46347d2a9af4a097 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_56e298cfd1a8bc592c890c0b518529b9 = $(`<div id="html_56e298cfd1a8bc592c890c0b518529b9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_7da5d5a41dcf564545ee0b8132653144.setContent(html_56e298cfd1a8bc592c890c0b518529b9);\n", + " var html_233b1b12efe5c6833275efb4a4036eea = $(`<div id="html_233b1b12efe5c6833275efb4a4036eea" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ce231303d18b782a46347d2a9af4a097.setContent(html_233b1b12efe5c6833275efb4a4036eea);\n", " \n", "\n", - " circle_marker_c8610443d2fd6c1e7adc515d1c7be849.bindPopup(popup_7da5d5a41dcf564545ee0b8132653144)\n", + " circle_marker_c5742761d137481180a00a5ed24d48cd.bindPopup(popup_ce231303d18b782a46347d2a9af4a097)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_cc3573ad24a65e761f4f2351e12dae0a = L.circleMarker(\n", + " var circle_marker_5e07dd6a68bbbf802249025acc7dce61 = L.circleMarker(\n", " [37.76001174749493, -122.41354296784603],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_69309306381a78aa72608e40914d43c7 = L.popup({"maxWidth": "100%"});\n", + " var popup_eb90eed2feaf6de7663b43b7cb202990 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_63f84a7e6946fc7c90191bc5ab4041b1 = $(`<div id="html_63f84a7e6946fc7c90191bc5ab4041b1" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_69309306381a78aa72608e40914d43c7.setContent(html_63f84a7e6946fc7c90191bc5ab4041b1);\n", + " var html_ed1b0478a29e647d8813ee196ee4cf48 = $(`<div id="html_ed1b0478a29e647d8813ee196ee4cf48" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_eb90eed2feaf6de7663b43b7cb202990.setContent(html_ed1b0478a29e647d8813ee196ee4cf48);\n", " \n", "\n", - " circle_marker_cc3573ad24a65e761f4f2351e12dae0a.bindPopup(popup_69309306381a78aa72608e40914d43c7)\n", + " circle_marker_5e07dd6a68bbbf802249025acc7dce61.bindPopup(popup_eb90eed2feaf6de7663b43b7cb202990)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e2c4049e4e72df723ccc8b7f9389a9fd = L.circleMarker(\n", + " var circle_marker_3f7f2d6ff867b2a7a0f252cd6e1f1cd0 = L.circleMarker(\n", " [37.76143653964776, -122.41250374000519],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_0d408717f7c298e61044116a3dfc494d = L.popup({"maxWidth": "100%"});\n", + " var popup_c046722ff5f777f91e4da0606184d628 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_9eae7d302958e6508888c22e751171ce = $(`<div id="html_9eae7d302958e6508888c22e751171ce" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_0d408717f7c298e61044116a3dfc494d.setContent(html_9eae7d302958e6508888c22e751171ce);\n", + " var html_eb7ca5231cf0a84a91e7f45e6fba3668 = $(`<div id="html_eb7ca5231cf0a84a91e7f45e6fba3668" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_c046722ff5f777f91e4da0606184d628.setContent(html_eb7ca5231cf0a84a91e7f45e6fba3668);\n", " \n", "\n", - " circle_marker_e2c4049e4e72df723ccc8b7f9389a9fd.bindPopup(popup_0d408717f7c298e61044116a3dfc494d)\n", + " circle_marker_3f7f2d6ff867b2a7a0f252cd6e1f1cd0.bindPopup(popup_c046722ff5f777f91e4da0606184d628)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e0db1b74ab077857497a7b4503e0cce4 = L.circleMarker(\n", + " var circle_marker_f818cad25a3560c71bc3231ea5ef2082 = L.circleMarker(\n", " [37.758881507967835, -122.42158735975825],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_454017b3b653ddadd2b5d7dadc5d58f3 = L.popup({"maxWidth": "100%"});\n", + " var popup_added77ebf4127452dd1469f5ceea486 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_b97260084b983534cd25d63833d3607f = $(`<div id="html_b97260084b983534cd25d63833d3607f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_454017b3b653ddadd2b5d7dadc5d58f3.setContent(html_b97260084b983534cd25d63833d3607f);\n", + " var html_db65f6027f8bcd8f4b93a37a7b8513cf = $(`<div id="html_db65f6027f8bcd8f4b93a37a7b8513cf" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_added77ebf4127452dd1469f5ceea486.setContent(html_db65f6027f8bcd8f4b93a37a7b8513cf);\n", " \n", "\n", - " circle_marker_e0db1b74ab077857497a7b4503e0cce4.bindPopup(popup_454017b3b653ddadd2b5d7dadc5d58f3)\n", + " circle_marker_f818cad25a3560c71bc3231ea5ef2082.bindPopup(popup_added77ebf4127452dd1469f5ceea486)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e961dd9d714d531dc4a43afc6aa3b672 = L.circleMarker(\n", + " var circle_marker_3134bad569a3a785c8560a51abede210 = L.circleMarker(\n", " [37.76418120866797, -122.42383388780732],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_167c006c9277a55d3bcb4d8a13f81eb0 = L.popup({"maxWidth": "100%"});\n", + " var popup_7a48b1cf3b232bf573c542d149b52479 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_61093d3f5fd152e13a6963b2ff18122b = $(`<div id="html_61093d3f5fd152e13a6963b2ff18122b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_167c006c9277a55d3bcb4d8a13f81eb0.setContent(html_61093d3f5fd152e13a6963b2ff18122b);\n", + " var html_849ba10f35483e84548896939bd8e0c5 = $(`<div id="html_849ba10f35483e84548896939bd8e0c5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_7a48b1cf3b232bf573c542d149b52479.setContent(html_849ba10f35483e84548896939bd8e0c5);\n", " \n", "\n", - " circle_marker_e961dd9d714d531dc4a43afc6aa3b672.bindPopup(popup_167c006c9277a55d3bcb4d8a13f81eb0)\n", + " circle_marker_3134bad569a3a785c8560a51abede210.bindPopup(popup_7a48b1cf3b232bf573c542d149b52479)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d87d1a75c457d134c7015364771fe4f0 = L.circleMarker(\n", + " var circle_marker_2180bcd42fe94d7b2ab1a6899fb99f51 = L.circleMarker(\n", " [37.738930706925785, -122.41100854960864],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_a9eb9a275eb936d6eec8304c4bd53802 = L.popup({"maxWidth": "100%"});\n", + " var popup_388a2da7297d63be7c4d6137749621b8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_9f93daa0611960e55c48739fc92565a2 = $(`<div id="html_9f93daa0611960e55c48739fc92565a2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_a9eb9a275eb936d6eec8304c4bd53802.setContent(html_9f93daa0611960e55c48739fc92565a2);\n", + " var html_f97d3b9ebc0a432383e4d7b01b8e1473 = $(`<div id="html_f97d3b9ebc0a432383e4d7b01b8e1473" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_388a2da7297d63be7c4d6137749621b8.setContent(html_f97d3b9ebc0a432383e4d7b01b8e1473);\n", " \n", "\n", - " circle_marker_d87d1a75c457d134c7015364771fe4f0.bindPopup(popup_a9eb9a275eb936d6eec8304c4bd53802)\n", + " circle_marker_2180bcd42fe94d7b2ab1a6899fb99f51.bindPopup(popup_388a2da7297d63be7c4d6137749621b8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_10d5b8d38d8fef1e93633d9d14277a60 = L.circleMarker(\n", + " var circle_marker_65f7830fc78cfd84ff9b2bdf83fa5ea3 = L.circleMarker(\n", " [37.75658034967026, -122.40436699718947],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_28616f284921a400e8c9c0162f476fa5 = L.popup({"maxWidth": "100%"});\n", + " var popup_20d05ea600d3b6b0708f2a34074066a8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f2ddedde5435e19b1b2ef479ea50c3d2 = $(`<div id="html_f2ddedde5435e19b1b2ef479ea50c3d2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_28616f284921a400e8c9c0162f476fa5.setContent(html_f2ddedde5435e19b1b2ef479ea50c3d2);\n", + " var html_23b62488f429348157618e8d24154cd4 = $(`<div id="html_23b62488f429348157618e8d24154cd4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_20d05ea600d3b6b0708f2a34074066a8.setContent(html_23b62488f429348157618e8d24154cd4);\n", " \n", "\n", - " circle_marker_10d5b8d38d8fef1e93633d9d14277a60.bindPopup(popup_28616f284921a400e8c9c0162f476fa5)\n", + " circle_marker_65f7830fc78cfd84ff9b2bdf83fa5ea3.bindPopup(popup_20d05ea600d3b6b0708f2a34074066a8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a97b389e3c030d02ffeb3293f0122687 = L.circleMarker(\n", + " var circle_marker_2d718eb9d3b6bbe2f11b30a55ba997d6 = L.circleMarker(\n", " [37.73885550860088, -122.42208826738184],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_850eb8188406275254f1c771d7005c0a = L.popup({"maxWidth": "100%"});\n", + " var popup_994c605d61f77c59f96054050c2a41a5 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_3c600e35a558f73b5847b04b8414ea29 = $(`<div id="html_3c600e35a558f73b5847b04b8414ea29" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_850eb8188406275254f1c771d7005c0a.setContent(html_3c600e35a558f73b5847b04b8414ea29);\n", + " var html_9141e33d8f3bd9bcb1c0e12467b3c2be = $(`<div id="html_9141e33d8f3bd9bcb1c0e12467b3c2be" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_994c605d61f77c59f96054050c2a41a5.setContent(html_9141e33d8f3bd9bcb1c0e12467b3c2be);\n", " \n", "\n", - " circle_marker_a97b389e3c030d02ffeb3293f0122687.bindPopup(popup_850eb8188406275254f1c771d7005c0a)\n", + " circle_marker_2d718eb9d3b6bbe2f11b30a55ba997d6.bindPopup(popup_994c605d61f77c59f96054050c2a41a5)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8fe68669be16dc77224989bf278bacf2 = L.circleMarker(\n", + " var circle_marker_b860f3b864fff91daf4db6187181c2cf = L.circleMarker(\n", " [37.73242889676793, -122.41533486255479],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_862009075db5377b458376bc86c2c311 = L.popup({"maxWidth": "100%"});\n", + " var popup_9f062b549732296e585f1b70d04dc2bd = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_9964c8b26976f657a233194a5976d52a = $(`<div id="html_9964c8b26976f657a233194a5976d52a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_862009075db5377b458376bc86c2c311.setContent(html_9964c8b26976f657a233194a5976d52a);\n", + " var html_f1b0761ea38dcae8bd7ac8a1dcd5a461 = $(`<div id="html_f1b0761ea38dcae8bd7ac8a1dcd5a461" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9f062b549732296e585f1b70d04dc2bd.setContent(html_f1b0761ea38dcae8bd7ac8a1dcd5a461);\n", " \n", "\n", - " circle_marker_8fe68669be16dc77224989bf278bacf2.bindPopup(popup_862009075db5377b458376bc86c2c311)\n", + " circle_marker_b860f3b864fff91daf4db6187181c2cf.bindPopup(popup_9f062b549732296e585f1b70d04dc2bd)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4854ac604bb38b8f15b7b9e0e96b55fc = L.circleMarker(\n", + " var circle_marker_845c56da61cfe9654af790c88b97df71 = L.circleMarker(\n", " [37.7460946279338, -122.42327589475202],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_00943e721791728117a3f3aedc72a18f = L.popup({"maxWidth": "100%"});\n", + " var popup_9a46beb663a63eaa752b84633b2f3191 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_cd4f392795184a261d2f0354830f0738 = $(`<div id="html_cd4f392795184a261d2f0354830f0738" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_00943e721791728117a3f3aedc72a18f.setContent(html_cd4f392795184a261d2f0354830f0738);\n", + " var html_8fb976bec7a191b9a2b571ff806f1095 = $(`<div id="html_8fb976bec7a191b9a2b571ff806f1095" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9a46beb663a63eaa752b84633b2f3191.setContent(html_8fb976bec7a191b9a2b571ff806f1095);\n", " \n", "\n", - " circle_marker_4854ac604bb38b8f15b7b9e0e96b55fc.bindPopup(popup_00943e721791728117a3f3aedc72a18f)\n", + " circle_marker_845c56da61cfe9654af790c88b97df71.bindPopup(popup_9a46beb663a63eaa752b84633b2f3191)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b0315d2fd38798e4e1d1d1e07458cb97 = L.circleMarker(\n", + " var circle_marker_4d74c43239c6583ae057cc2d4c7b0ecb = L.circleMarker(\n", " [37.74742653113364, -122.41901571198258],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_146e14855fc4ea783171fdce8f73f3a8 = L.popup({"maxWidth": "100%"});\n", + " var popup_105e355fb73ec7b551280ce4b5de93e8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_dee589dadba6e96555196b641a8b2193 = $(`<div id="html_dee589dadba6e96555196b641a8b2193" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_146e14855fc4ea783171fdce8f73f3a8.setContent(html_dee589dadba6e96555196b641a8b2193);\n", + " var html_e24506fc05d29c5f44d3a0b5e5cc0b68 = $(`<div id="html_e24506fc05d29c5f44d3a0b5e5cc0b68" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_105e355fb73ec7b551280ce4b5de93e8.setContent(html_e24506fc05d29c5f44d3a0b5e5cc0b68);\n", " \n", "\n", - " circle_marker_b0315d2fd38798e4e1d1d1e07458cb97.bindPopup(popup_146e14855fc4ea783171fdce8f73f3a8)\n", + " circle_marker_4d74c43239c6583ae057cc2d4c7b0ecb.bindPopup(popup_105e355fb73ec7b551280ce4b5de93e8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c6638224014fa99040d72942a6d1322b = L.circleMarker(\n", + " var circle_marker_db18909f97f4eb72cfac7eaed954fcb5 = L.circleMarker(\n", " [37.7516461902975, -122.42148292078194],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_22e0cade809790ffa5129fd73844594b = L.popup({"maxWidth": "100%"});\n", + " var popup_5b203a240f6d88238107b90311e58b98 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e5a351f66456b3de7db4b0cbb794d918 = $(`<div id="html_e5a351f66456b3de7db4b0cbb794d918" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_22e0cade809790ffa5129fd73844594b.setContent(html_e5a351f66456b3de7db4b0cbb794d918);\n", + " var html_67af5ee7102468762b8d339039bfad05 = $(`<div id="html_67af5ee7102468762b8d339039bfad05" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_5b203a240f6d88238107b90311e58b98.setContent(html_67af5ee7102468762b8d339039bfad05);\n", " \n", "\n", - " circle_marker_c6638224014fa99040d72942a6d1322b.bindPopup(popup_22e0cade809790ffa5129fd73844594b)\n", + " circle_marker_db18909f97f4eb72cfac7eaed954fcb5.bindPopup(popup_5b203a240f6d88238107b90311e58b98)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bc4d58926385552e5a7c09e213305a63 = L.circleMarker(\n", + " var circle_marker_a5b0902bd45b2f5e08e3f7696475d153 = L.circleMarker(\n", " [37.73607306850611, -122.41535585953757],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_13169426fe6e7ef423970fb5ae58d64c = L.popup({"maxWidth": "100%"});\n", + " var popup_8d1de7010273695d6197333798dc4d80 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_5a6448639356ece1bb359495d73936bd = $(`<div id="html_5a6448639356ece1bb359495d73936bd" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_13169426fe6e7ef423970fb5ae58d64c.setContent(html_5a6448639356ece1bb359495d73936bd);\n", + " var html_e83ef34eb7d6ac8a14130818ef3a25f3 = $(`<div id="html_e83ef34eb7d6ac8a14130818ef3a25f3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_8d1de7010273695d6197333798dc4d80.setContent(html_e83ef34eb7d6ac8a14130818ef3a25f3);\n", " \n", "\n", - " circle_marker_bc4d58926385552e5a7c09e213305a63.bindPopup(popup_13169426fe6e7ef423970fb5ae58d64c)\n", + " circle_marker_a5b0902bd45b2f5e08e3f7696475d153.bindPopup(popup_8d1de7010273695d6197333798dc4d80)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ee3a27d1f614f987183c0cc09ea2832a = L.circleMarker(\n", + " var circle_marker_8c1c26308e78696bcc66a08f3ba6756a = L.circleMarker(\n", " [37.74511425270174, -122.41025793398745],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_eb13e1b366b914bec3cadeb63ee14847 = L.popup({"maxWidth": "100%"});\n", + " var popup_5eb9d45d293c801c78b05de400e844a3 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_60df2e5bd9f74235f5b4a35d0b24f72b = $(`<div id="html_60df2e5bd9f74235f5b4a35d0b24f72b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_eb13e1b366b914bec3cadeb63ee14847.setContent(html_60df2e5bd9f74235f5b4a35d0b24f72b);\n", + " var html_59fb853a92fbcc5fae72ab33023fbeca = $(`<div id="html_59fb853a92fbcc5fae72ab33023fbeca" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_5eb9d45d293c801c78b05de400e844a3.setContent(html_59fb853a92fbcc5fae72ab33023fbeca);\n", " \n", "\n", - " circle_marker_ee3a27d1f614f987183c0cc09ea2832a.bindPopup(popup_eb13e1b366b914bec3cadeb63ee14847)\n", + " circle_marker_8c1c26308e78696bcc66a08f3ba6756a.bindPopup(popup_5eb9d45d293c801c78b05de400e844a3)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_62abf216a82c1aac3f0ea69ea9062cb2 = L.circleMarker(\n", + " var circle_marker_fbeb198008833b32137711acdaba3bb8 = L.circleMarker(\n", " [37.73782696783066, -122.41412809295414],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f59bb81156d380c2846d59091c2d4091 = L.popup({"maxWidth": "100%"});\n", + " var popup_7aeb97c33d0115673d1c13f0bcc62db9 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_504306dcccf996703c87f04c376fbcc3 = $(`<div id="html_504306dcccf996703c87f04c376fbcc3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f59bb81156d380c2846d59091c2d4091.setContent(html_504306dcccf996703c87f04c376fbcc3);\n", + " var html_143eb4774a01331f3acaa8ae35c90841 = $(`<div id="html_143eb4774a01331f3acaa8ae35c90841" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_7aeb97c33d0115673d1c13f0bcc62db9.setContent(html_143eb4774a01331f3acaa8ae35c90841);\n", " \n", "\n", - " circle_marker_62abf216a82c1aac3f0ea69ea9062cb2.bindPopup(popup_f59bb81156d380c2846d59091c2d4091)\n", + " circle_marker_fbeb198008833b32137711acdaba3bb8.bindPopup(popup_7aeb97c33d0115673d1c13f0bcc62db9)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_72651654b6d1f124f43745c44f1aa5d3 = L.circleMarker(\n", + " var circle_marker_8771115b95c06778502088a1c1c11145 = L.circleMarker(\n", " [37.748264951499664, -122.42487627066222],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f76fba504c876ef02f9738616e88bf44 = L.popup({"maxWidth": "100%"});\n", + " var popup_22948c883544c258ea72769c0b597b46 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_943d0baea31100faf1632b2dea3c280e = $(`<div id="html_943d0baea31100faf1632b2dea3c280e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f76fba504c876ef02f9738616e88bf44.setContent(html_943d0baea31100faf1632b2dea3c280e);\n", + " var html_16f8a082d63a0ae4d9a1f2d811bf29cc = $(`<div id="html_16f8a082d63a0ae4d9a1f2d811bf29cc" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_22948c883544c258ea72769c0b597b46.setContent(html_16f8a082d63a0ae4d9a1f2d811bf29cc);\n", " \n", "\n", - " circle_marker_72651654b6d1f124f43745c44f1aa5d3.bindPopup(popup_f76fba504c876ef02f9738616e88bf44)\n", + " circle_marker_8771115b95c06778502088a1c1c11145.bindPopup(popup_22948c883544c258ea72769c0b597b46)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_502c5183c85a0ee917dea8e5bc7a5f1d = L.circleMarker(\n", + " var circle_marker_0d74b8f584b8cb8da146ae557a853653 = L.circleMarker(\n", " [37.76375791326102, -122.41948996087152],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6399b4058baa7da19b43e6631ae63cf1 = L.popup({"maxWidth": "100%"});\n", + " var popup_240966f9758de1806e81d4641b2ea8d0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_945412dde8cf7bd88e187e0c1f39cbb9 = $(`<div id="html_945412dde8cf7bd88e187e0c1f39cbb9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6399b4058baa7da19b43e6631ae63cf1.setContent(html_945412dde8cf7bd88e187e0c1f39cbb9);\n", + " var html_5b8bb240acb97ad4bab9cbe88e0a826e = $(`<div id="html_5b8bb240acb97ad4bab9cbe88e0a826e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_240966f9758de1806e81d4641b2ea8d0.setContent(html_5b8bb240acb97ad4bab9cbe88e0a826e);\n", " \n", "\n", - " circle_marker_502c5183c85a0ee917dea8e5bc7a5f1d.bindPopup(popup_6399b4058baa7da19b43e6631ae63cf1)\n", + " circle_marker_0d74b8f584b8cb8da146ae557a853653.bindPopup(popup_240966f9758de1806e81d4641b2ea8d0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_3a5452d4bb98ead4ccb2f4dc83955fe6 = L.circleMarker(\n", + " var circle_marker_50d9f79eb4bdfe005280fbd45ab46227 = L.circleMarker(\n", " [37.757190231652636, -122.40901934781371],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4148887c3601fbd5b3b977ebcf8bc792 = L.popup({"maxWidth": "100%"});\n", + " var popup_bf2564f40546fc70a423fe2250d5489d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2d7bd9df2f57aaa773f124d277f96337 = $(`<div id="html_2d7bd9df2f57aaa773f124d277f96337" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4148887c3601fbd5b3b977ebcf8bc792.setContent(html_2d7bd9df2f57aaa773f124d277f96337);\n", + " var html_d3616b0f6729528bdc7db20d56350591 = $(`<div id="html_d3616b0f6729528bdc7db20d56350591" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_bf2564f40546fc70a423fe2250d5489d.setContent(html_d3616b0f6729528bdc7db20d56350591);\n", " \n", "\n", - " circle_marker_3a5452d4bb98ead4ccb2f4dc83955fe6.bindPopup(popup_4148887c3601fbd5b3b977ebcf8bc792)\n", + " circle_marker_50d9f79eb4bdfe005280fbd45ab46227.bindPopup(popup_bf2564f40546fc70a423fe2250d5489d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bbe962a946283845418e4bfcf08e751e = L.circleMarker(\n", + " var circle_marker_858b80812927b2dba111b81d9f7424b5 = L.circleMarker(\n", " [37.7515671364096, -122.41446616923866],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_a95ef7a7fd4f18c5dade72ca64d24ae7 = L.popup({"maxWidth": "100%"});\n", + " var popup_6c84085d84fad4ac7cb185891aec255d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_25f41f13a5640405ae31bec45facdcc5 = $(`<div id="html_25f41f13a5640405ae31bec45facdcc5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_a95ef7a7fd4f18c5dade72ca64d24ae7.setContent(html_25f41f13a5640405ae31bec45facdcc5);\n", + " var html_767645404b5826adc594735479f7fe59 = $(`<div id="html_767645404b5826adc594735479f7fe59" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_6c84085d84fad4ac7cb185891aec255d.setContent(html_767645404b5826adc594735479f7fe59);\n", " \n", "\n", - " circle_marker_bbe962a946283845418e4bfcf08e751e.bindPopup(popup_a95ef7a7fd4f18c5dade72ca64d24ae7)\n", + " circle_marker_858b80812927b2dba111b81d9f7424b5.bindPopup(popup_6c84085d84fad4ac7cb185891aec255d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a667d50e03be715f91e8b2d7b0a8e1dd = L.circleMarker(\n", + " var circle_marker_6a4023de74d3b6b8b68ce954da8c9aa3 = L.circleMarker(\n", " [37.75843991693097, -122.41145761273533],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_62bfd6db21edffe75572043f9bdace29 = L.popup({"maxWidth": "100%"});\n", + " var popup_9cda9389652ec876227a70c90af59a00 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_b9b99a150b0c4c6f387b6a23e80a324d = $(`<div id="html_b9b99a150b0c4c6f387b6a23e80a324d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_62bfd6db21edffe75572043f9bdace29.setContent(html_b9b99a150b0c4c6f387b6a23e80a324d);\n", + " var html_d1dba9006a25c7b8a766ab3e586e7232 = $(`<div id="html_d1dba9006a25c7b8a766ab3e586e7232" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9cda9389652ec876227a70c90af59a00.setContent(html_d1dba9006a25c7b8a766ab3e586e7232);\n", " \n", "\n", - " circle_marker_a667d50e03be715f91e8b2d7b0a8e1dd.bindPopup(popup_62bfd6db21edffe75572043f9bdace29)\n", + " circle_marker_6a4023de74d3b6b8b68ce954da8c9aa3.bindPopup(popup_9cda9389652ec876227a70c90af59a00)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e3bae425580ddea13ec347c45b28b0ea = L.circleMarker(\n", + " var circle_marker_360d2fc2d273802d1d1fac99e9e188de = L.circleMarker(\n", " [37.75163337537155, -122.42137810541736],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_86056d6325ae72ef79cabbd3df3c46ac = L.popup({"maxWidth": "100%"});\n", + " var popup_29c56fbd0b34af8121c3463f2650aaf4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_14d2c5164f2301de1ba991c1c00d8aae = $(`<div id="html_14d2c5164f2301de1ba991c1c00d8aae" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_86056d6325ae72ef79cabbd3df3c46ac.setContent(html_14d2c5164f2301de1ba991c1c00d8aae);\n", + " var html_1f930d48386f0618e980b55815a745a6 = $(`<div id="html_1f930d48386f0618e980b55815a745a6" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_29c56fbd0b34af8121c3463f2650aaf4.setContent(html_1f930d48386f0618e980b55815a745a6);\n", " \n", "\n", - " circle_marker_e3bae425580ddea13ec347c45b28b0ea.bindPopup(popup_86056d6325ae72ef79cabbd3df3c46ac)\n", + " circle_marker_360d2fc2d273802d1d1fac99e9e188de.bindPopup(popup_29c56fbd0b34af8121c3463f2650aaf4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_440f00f20d85eddf061ab5672cb2ee2d = L.circleMarker(\n", + " var circle_marker_1db5f89e9d6a0c494cfb9ca904f200ac = L.circleMarker(\n", " [37.764481854652736, -122.41993600982686],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_5ac09c5d9556f9421de6ee1be820bb3a = L.popup({"maxWidth": "100%"});\n", + " var popup_a156c907cab325dfd97e412c7751c0eb = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_51eaaf859a1922c6433138a0128411f0 = $(`<div id="html_51eaaf859a1922c6433138a0128411f0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_5ac09c5d9556f9421de6ee1be820bb3a.setContent(html_51eaaf859a1922c6433138a0128411f0);\n", + " var html_8102f715ea51ff0e099e0b9203f926a5 = $(`<div id="html_8102f715ea51ff0e099e0b9203f926a5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a156c907cab325dfd97e412c7751c0eb.setContent(html_8102f715ea51ff0e099e0b9203f926a5);\n", " \n", "\n", - " circle_marker_440f00f20d85eddf061ab5672cb2ee2d.bindPopup(popup_5ac09c5d9556f9421de6ee1be820bb3a)\n", + " circle_marker_1db5f89e9d6a0c494cfb9ca904f200ac.bindPopup(popup_a156c907cab325dfd97e412c7751c0eb)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2730d4b1e15815df7926bbb6789ed059 = L.circleMarker(\n", + " var circle_marker_dd6a52f8af16ce8825e99146d59382f2 = L.circleMarker(\n", " [37.76406227103009, -122.4226566332339],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_e3b1515afa5a1e5de62af614ad7774df = L.popup({"maxWidth": "100%"});\n", + " var popup_a0ba9cd0065fb01df104c9f757da236a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f09002ec2234935bdcf53c66fb3d5158 = $(`<div id="html_f09002ec2234935bdcf53c66fb3d5158" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_e3b1515afa5a1e5de62af614ad7774df.setContent(html_f09002ec2234935bdcf53c66fb3d5158);\n", + " var html_c8aba6b9d65dec946706789d9e7cfbc4 = $(`<div id="html_c8aba6b9d65dec946706789d9e7cfbc4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a0ba9cd0065fb01df104c9f757da236a.setContent(html_c8aba6b9d65dec946706789d9e7cfbc4);\n", " \n", "\n", - " circle_marker_2730d4b1e15815df7926bbb6789ed059.bindPopup(popup_e3b1515afa5a1e5de62af614ad7774df)\n", + " circle_marker_dd6a52f8af16ce8825e99146d59382f2.bindPopup(popup_a0ba9cd0065fb01df104c9f757da236a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_441f4766d1cff2b2830de815699f8bfb = L.circleMarker(\n", + " var circle_marker_4951804e5115be3302ece36ca92e5ee9 = L.circleMarker(\n", " [37.76149261428097, -122.41246627252544],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_34a33de671c4b48c8c40c04e2078c704 = L.popup({"maxWidth": "100%"});\n", + " var popup_38f31f4ede62160ffb3e447f3eda46bf = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_98b5dbfcb890a543fdd43764c4ea5a92 = $(`<div id="html_98b5dbfcb890a543fdd43764c4ea5a92" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_34a33de671c4b48c8c40c04e2078c704.setContent(html_98b5dbfcb890a543fdd43764c4ea5a92);\n", + " var html_be291c21a10ef2b7d3d5a05c3864aa45 = $(`<div id="html_be291c21a10ef2b7d3d5a05c3864aa45" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_38f31f4ede62160ffb3e447f3eda46bf.setContent(html_be291c21a10ef2b7d3d5a05c3864aa45);\n", " \n", "\n", - " circle_marker_441f4766d1cff2b2830de815699f8bfb.bindPopup(popup_34a33de671c4b48c8c40c04e2078c704)\n", + " circle_marker_4951804e5115be3302ece36ca92e5ee9.bindPopup(popup_38f31f4ede62160ffb3e447f3eda46bf)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_74fef5df7e80940f460ec38f5063334d = L.circleMarker(\n", + " var circle_marker_5ad7f58f22cc4280209bac02d2bf1a6d = L.circleMarker(\n", " [37.76062461888235, -122.42108957360912],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_8745e4e7f3a436bfe977139affcbb125 = L.popup({"maxWidth": "100%"});\n", + " var popup_4cb730597d7dd68b966b6072a7fda2ea = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0fe61f6c490f0afd84bbd99371d8f74b = $(`<div id="html_0fe61f6c490f0afd84bbd99371d8f74b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_8745e4e7f3a436bfe977139affcbb125.setContent(html_0fe61f6c490f0afd84bbd99371d8f74b);\n", + " var html_d6cc3573b1ecd20b75e723515f6c4ed3 = $(`<div id="html_d6cc3573b1ecd20b75e723515f6c4ed3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_4cb730597d7dd68b966b6072a7fda2ea.setContent(html_d6cc3573b1ecd20b75e723515f6c4ed3);\n", " \n", "\n", - " circle_marker_74fef5df7e80940f460ec38f5063334d.bindPopup(popup_8745e4e7f3a436bfe977139affcbb125)\n", + " circle_marker_5ad7f58f22cc4280209bac02d2bf1a6d.bindPopup(popup_4cb730597d7dd68b966b6072a7fda2ea)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a84d37d3b10959ddad9e40403e789d7c = L.circleMarker(\n", + " var circle_marker_9acc0d29d31abfb7a3a22dabb2b579ec = L.circleMarker(\n", " [37.736623528205754, -122.41970410021572],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_d34084e325b64d21349eec0fde83e940 = L.popup({"maxWidth": "100%"});\n", + " var popup_13f6b67597cffbdbfd3734279e0fb404 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_07dd7ebed348ca11b1fccafff19955b2 = $(`<div id="html_07dd7ebed348ca11b1fccafff19955b2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_d34084e325b64d21349eec0fde83e940.setContent(html_07dd7ebed348ca11b1fccafff19955b2);\n", + " var html_9fd77cac57070f996637f3babe15c2e4 = $(`<div id="html_9fd77cac57070f996637f3babe15c2e4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_13f6b67597cffbdbfd3734279e0fb404.setContent(html_9fd77cac57070f996637f3babe15c2e4);\n", " \n", "\n", - " circle_marker_a84d37d3b10959ddad9e40403e789d7c.bindPopup(popup_d34084e325b64d21349eec0fde83e940)\n", + " circle_marker_9acc0d29d31abfb7a3a22dabb2b579ec.bindPopup(popup_13f6b67597cffbdbfd3734279e0fb404)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_710dfc9d64d608654a6b7bb152754be8 = L.circleMarker(\n", + " var circle_marker_d67e8496d22a3af7cdbcf67605661d25 = L.circleMarker(\n", " [37.75345065474162, -122.41586666626333],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_e6ca8e9542bdc4f3f3a580bf962a7db9 = L.popup({"maxWidth": "100%"});\n", + " var popup_15e7b4cfe275b555c4a4ecfd8912ff6a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_c3c7d36eaea00cdba0d5fad13d7ec334 = $(`<div id="html_c3c7d36eaea00cdba0d5fad13d7ec334" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_e6ca8e9542bdc4f3f3a580bf962a7db9.setContent(html_c3c7d36eaea00cdba0d5fad13d7ec334);\n", + " var html_758764404f08e71ce9ab51d41446e548 = $(`<div id="html_758764404f08e71ce9ab51d41446e548" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_15e7b4cfe275b555c4a4ecfd8912ff6a.setContent(html_758764404f08e71ce9ab51d41446e548);\n", " \n", "\n", - " circle_marker_710dfc9d64d608654a6b7bb152754be8.bindPopup(popup_e6ca8e9542bdc4f3f3a580bf962a7db9)\n", + " circle_marker_d67e8496d22a3af7cdbcf67605661d25.bindPopup(popup_15e7b4cfe275b555c4a4ecfd8912ff6a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_717b800b74b3d80edf14f0e560a49763 = L.circleMarker(\n", + " var circle_marker_0cc3bafc43c3f6e7f747e3a9a43a1983 = L.circleMarker(\n", " [37.73623856050469, -122.41915845180576],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_fdf6d8ee6a52a0166ac4c289c6426c66 = L.popup({"maxWidth": "100%"});\n", + " var popup_5bb2aae46c6ad564d2623886f4a34e49 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_67dcf328de70c3c67b048fcd08f8dd8d = $(`<div id="html_67dcf328de70c3c67b048fcd08f8dd8d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_fdf6d8ee6a52a0166ac4c289c6426c66.setContent(html_67dcf328de70c3c67b048fcd08f8dd8d);\n", + " var html_728fdc5e0249b1fc4a41bc0f7914253a = $(`<div id="html_728fdc5e0249b1fc4a41bc0f7914253a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_5bb2aae46c6ad564d2623886f4a34e49.setContent(html_728fdc5e0249b1fc4a41bc0f7914253a);\n", " \n", "\n", - " circle_marker_717b800b74b3d80edf14f0e560a49763.bindPopup(popup_fdf6d8ee6a52a0166ac4c289c6426c66)\n", + " circle_marker_0cc3bafc43c3f6e7f747e3a9a43a1983.bindPopup(popup_5bb2aae46c6ad564d2623886f4a34e49)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_9eb198c13fc47e21bd0e721c90ea6d71 = L.circleMarker(\n", + " var circle_marker_79151154eaee075feda72b3af0a48c53 = L.circleMarker(\n", " [37.73923240960833, -122.41551073208204],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_a415838dcd84923beb700b7588fc0af9 = L.popup({"maxWidth": "100%"});\n", + " var popup_50fb603fa75d74df9f5c382803a88cb0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e4d04e884c8b2f0f31173c1a690986c0 = $(`<div id="html_e4d04e884c8b2f0f31173c1a690986c0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_a415838dcd84923beb700b7588fc0af9.setContent(html_e4d04e884c8b2f0f31173c1a690986c0);\n", + " var html_03f3438f60cd01f38356140fbda24050 = $(`<div id="html_03f3438f60cd01f38356140fbda24050" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_50fb603fa75d74df9f5c382803a88cb0.setContent(html_03f3438f60cd01f38356140fbda24050);\n", " \n", "\n", - " circle_marker_9eb198c13fc47e21bd0e721c90ea6d71.bindPopup(popup_a415838dcd84923beb700b7588fc0af9)\n", + " circle_marker_79151154eaee075feda72b3af0a48c53.bindPopup(popup_50fb603fa75d74df9f5c382803a88cb0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e2f9d385165dff155a18e8cbac1a6e49 = L.circleMarker(\n", + " var circle_marker_17b681954c7b4a51ea27e88812c91bee = L.circleMarker(\n", " [37.761078335088655, -122.42607748635427],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_1dbd183199a48814c01fd387d3ae67f9 = L.popup({"maxWidth": "100%"});\n", + " var popup_1baa1efcaef4106c672f6c458a968a22 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_3a979e0030da52203b62688bea54ef80 = $(`<div id="html_3a979e0030da52203b62688bea54ef80" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_1dbd183199a48814c01fd387d3ae67f9.setContent(html_3a979e0030da52203b62688bea54ef80);\n", + " var html_0477f05886a6502ef9135236e0fa0764 = $(`<div id="html_0477f05886a6502ef9135236e0fa0764" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1baa1efcaef4106c672f6c458a968a22.setContent(html_0477f05886a6502ef9135236e0fa0764);\n", " \n", "\n", - " circle_marker_e2f9d385165dff155a18e8cbac1a6e49.bindPopup(popup_1dbd183199a48814c01fd387d3ae67f9)\n", + " circle_marker_17b681954c7b4a51ea27e88812c91bee.bindPopup(popup_1baa1efcaef4106c672f6c458a968a22)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4aaf7b7cf724fe1f061ccaafa2f2e33f = L.circleMarker(\n", + " var circle_marker_b0fbd2a9497bc3d1852c04f4f6deb714 = L.circleMarker(\n", " [37.75805957305026, -122.4054100676619],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_006a0d9d1f8ebb7a70aad5c538307a64 = L.popup({"maxWidth": "100%"});\n", + " var popup_1b32ccd2a121625d52e753fb1141e5d8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_dc2a2637627ec09d2ced717f23325d1a = $(`<div id="html_dc2a2637627ec09d2ced717f23325d1a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_006a0d9d1f8ebb7a70aad5c538307a64.setContent(html_dc2a2637627ec09d2ced717f23325d1a);\n", + " var html_5388677822c01c0ed7cc825ebe3af2bb = $(`<div id="html_5388677822c01c0ed7cc825ebe3af2bb" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1b32ccd2a121625d52e753fb1141e5d8.setContent(html_5388677822c01c0ed7cc825ebe3af2bb);\n", " \n", "\n", - " circle_marker_4aaf7b7cf724fe1f061ccaafa2f2e33f.bindPopup(popup_006a0d9d1f8ebb7a70aad5c538307a64)\n", + " circle_marker_b0fbd2a9497bc3d1852c04f4f6deb714.bindPopup(popup_1b32ccd2a121625d52e753fb1141e5d8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8f688b4127f290afbe731762333c8b03 = L.circleMarker(\n", + " var circle_marker_d822f62c8c0225075bf9f35c4500dc10 = L.circleMarker(\n", " [37.73432756040431, -122.42006414249477],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c7ec564a42465d253c3508d6de1e5189 = L.popup({"maxWidth": "100%"});\n", + " var popup_b0d8b659b20520c3c4d4a872b4e68863 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6aa5ae1e0fa09651af30d78205242d72 = $(`<div id="html_6aa5ae1e0fa09651af30d78205242d72" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c7ec564a42465d253c3508d6de1e5189.setContent(html_6aa5ae1e0fa09651af30d78205242d72);\n", + " var html_1150b7805a2cbb6b5a4aa8abbfb1df8a = $(`<div id="html_1150b7805a2cbb6b5a4aa8abbfb1df8a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b0d8b659b20520c3c4d4a872b4e68863.setContent(html_1150b7805a2cbb6b5a4aa8abbfb1df8a);\n", " \n", "\n", - " circle_marker_8f688b4127f290afbe731762333c8b03.bindPopup(popup_c7ec564a42465d253c3508d6de1e5189)\n", + " circle_marker_d822f62c8c0225075bf9f35c4500dc10.bindPopup(popup_b0d8b659b20520c3c4d4a872b4e68863)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_02d18c0327553a83f769c2092172f117 = L.circleMarker(\n", + " var circle_marker_1bed7c5c96a5fcc8690e1d5891b6ce9d = L.circleMarker(\n", " [37.73950355490107, -122.41817054462335],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_85865dfce6deb6371fa64f4cb648de50 = L.popup({"maxWidth": "100%"});\n", + " var popup_197a6143f0f4da8edc30ad5556fa8833 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_022ae8d51a2629e63ec72b4600875f03 = $(`<div id="html_022ae8d51a2629e63ec72b4600875f03" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_85865dfce6deb6371fa64f4cb648de50.setContent(html_022ae8d51a2629e63ec72b4600875f03);\n", + " var html_ef8e07155dec65b905c599d96d11e194 = $(`<div id="html_ef8e07155dec65b905c599d96d11e194" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_197a6143f0f4da8edc30ad5556fa8833.setContent(html_ef8e07155dec65b905c599d96d11e194);\n", " \n", "\n", - " circle_marker_02d18c0327553a83f769c2092172f117.bindPopup(popup_85865dfce6deb6371fa64f4cb648de50)\n", + " circle_marker_1bed7c5c96a5fcc8690e1d5891b6ce9d.bindPopup(popup_197a6143f0f4da8edc30ad5556fa8833)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_25bfacf971396305821994c43e5cf11e = L.circleMarker(\n", + " var circle_marker_16ff4aba4ee06700a1284a59f3e0abb0 = L.circleMarker(\n", " [37.73658262871167, -122.40888503839128],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_d1a3c2f9565b596fd6df6f22fbb8a24d = L.popup({"maxWidth": "100%"});\n", + " var popup_f62d69f3d5a99af423c17c85ed838cb1 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_8f0a00e2faf98be08558d69115ec677a = $(`<div id="html_8f0a00e2faf98be08558d69115ec677a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_d1a3c2f9565b596fd6df6f22fbb8a24d.setContent(html_8f0a00e2faf98be08558d69115ec677a);\n", + " var html_9e8ef3343d607d9aa066abb1123a3a75 = $(`<div id="html_9e8ef3343d607d9aa066abb1123a3a75" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_f62d69f3d5a99af423c17c85ed838cb1.setContent(html_9e8ef3343d607d9aa066abb1123a3a75);\n", " \n", "\n", - " circle_marker_25bfacf971396305821994c43e5cf11e.bindPopup(popup_d1a3c2f9565b596fd6df6f22fbb8a24d)\n", + " circle_marker_16ff4aba4ee06700a1284a59f3e0abb0.bindPopup(popup_f62d69f3d5a99af423c17c85ed838cb1)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_02792c847a1e68d5283ddce38aad03be = L.circleMarker(\n", + " var circle_marker_723d755b3b6ed722ec7b721e49897293 = L.circleMarker(\n", " [37.73995333620304, -122.41140314623527],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_605799041fbed4c675f63469159987ce = L.popup({"maxWidth": "100%"});\n", + " var popup_81770303404c6fae4b3a00a53ae2686d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0e39f37ae0b271a847b72ddb445625a4 = $(`<div id="html_0e39f37ae0b271a847b72ddb445625a4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_605799041fbed4c675f63469159987ce.setContent(html_0e39f37ae0b271a847b72ddb445625a4);\n", + " var html_dc581be95b5138f7b79040266b439627 = $(`<div id="html_dc581be95b5138f7b79040266b439627" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_81770303404c6fae4b3a00a53ae2686d.setContent(html_dc581be95b5138f7b79040266b439627);\n", " \n", "\n", - " circle_marker_02792c847a1e68d5283ddce38aad03be.bindPopup(popup_605799041fbed4c675f63469159987ce)\n", + " circle_marker_723d755b3b6ed722ec7b721e49897293.bindPopup(popup_81770303404c6fae4b3a00a53ae2686d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c8bb12bf0287663d25cb31371b7743ab = L.circleMarker(\n", + " var circle_marker_d690e3554e072ad65a414a2477b9d22c = L.circleMarker(\n", " [37.750638766365256, -122.41783069338953],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_5b509b69881e8e91052d4e139b0d1c63 = L.popup({"maxWidth": "100%"});\n", + " var popup_d5d720f5d0ca9278c97eaf65a1a71193 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6c07e5ec9026609ec810902201e20569 = $(`<div id="html_6c07e5ec9026609ec810902201e20569" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_5b509b69881e8e91052d4e139b0d1c63.setContent(html_6c07e5ec9026609ec810902201e20569);\n", + " var html_9076ef55049211e7531b5c7c00b5ebf2 = $(`<div id="html_9076ef55049211e7531b5c7c00b5ebf2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_d5d720f5d0ca9278c97eaf65a1a71193.setContent(html_9076ef55049211e7531b5c7c00b5ebf2);\n", " \n", "\n", - " circle_marker_c8bb12bf0287663d25cb31371b7743ab.bindPopup(popup_5b509b69881e8e91052d4e139b0d1c63)\n", + " circle_marker_d690e3554e072ad65a414a2477b9d22c.bindPopup(popup_d5d720f5d0ca9278c97eaf65a1a71193)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f48f3f91cacfde9747be4d49e68b866e = L.circleMarker(\n", + " var circle_marker_47b435ba350fd3014ce5e2784e19db53 = L.circleMarker(\n", " [37.756449811909334, -122.40658575420164],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_1ffc130ebc70e0aed50ca31dc71a5a6b = L.popup({"maxWidth": "100%"});\n", + " var popup_7290a9bb9906dbded1704981cf51eff3 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e29745b94190d15b2dde145f341baf7b = $(`<div id="html_e29745b94190d15b2dde145f341baf7b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_1ffc130ebc70e0aed50ca31dc71a5a6b.setContent(html_e29745b94190d15b2dde145f341baf7b);\n", + " var html_d495e51e5979af0441798bb2e3155da0 = $(`<div id="html_d495e51e5979af0441798bb2e3155da0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_7290a9bb9906dbded1704981cf51eff3.setContent(html_d495e51e5979af0441798bb2e3155da0);\n", " \n", "\n", - " circle_marker_f48f3f91cacfde9747be4d49e68b866e.bindPopup(popup_1ffc130ebc70e0aed50ca31dc71a5a6b)\n", + " circle_marker_47b435ba350fd3014ce5e2784e19db53.bindPopup(popup_7290a9bb9906dbded1704981cf51eff3)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e842319301f7ebde7ec48451049dc9b7 = L.circleMarker(\n", + " var circle_marker_ab1c29d349642b2421b94e3d964dcffa = L.circleMarker(\n", " [37.73605302291012, -122.42166950005372],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_d808a45173db4226d443199705a63a31 = L.popup({"maxWidth": "100%"});\n", + " var popup_1188ffd23d9c53bc5ca6b2590cf50a94 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d1601c324e5b06bbd82d67af1490f239 = $(`<div id="html_d1601c324e5b06bbd82d67af1490f239" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_d808a45173db4226d443199705a63a31.setContent(html_d1601c324e5b06bbd82d67af1490f239);\n", + " var html_1c0ff7829d35c0446105f44fad9f5480 = $(`<div id="html_1c0ff7829d35c0446105f44fad9f5480" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1188ffd23d9c53bc5ca6b2590cf50a94.setContent(html_1c0ff7829d35c0446105f44fad9f5480);\n", " \n", "\n", - " circle_marker_e842319301f7ebde7ec48451049dc9b7.bindPopup(popup_d808a45173db4226d443199705a63a31)\n", + " circle_marker_ab1c29d349642b2421b94e3d964dcffa.bindPopup(popup_1188ffd23d9c53bc5ca6b2590cf50a94)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_fa8683e86f83d15f9338515640e86a35 = L.circleMarker(\n", + " var circle_marker_fb1e60a4904c4377e19870e50aad2255 = L.circleMarker(\n", " [37.74717190213178, -122.42187930857803],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6e272da199548d4e485f404619d6e73a = L.popup({"maxWidth": "100%"});\n", + " var popup_9ba908f5aeefc364bad34c920f8ac8e8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_aafb9170c16707eb37e722222ca1f9e2 = $(`<div id="html_aafb9170c16707eb37e722222ca1f9e2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6e272da199548d4e485f404619d6e73a.setContent(html_aafb9170c16707eb37e722222ca1f9e2);\n", + " var html_ab2c064a3862cbc14309ec37e2e324a6 = $(`<div id="html_ab2c064a3862cbc14309ec37e2e324a6" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9ba908f5aeefc364bad34c920f8ac8e8.setContent(html_ab2c064a3862cbc14309ec37e2e324a6);\n", " \n", "\n", - " circle_marker_fa8683e86f83d15f9338515640e86a35.bindPopup(popup_6e272da199548d4e485f404619d6e73a)\n", + " circle_marker_fb1e60a4904c4377e19870e50aad2255.bindPopup(popup_9ba908f5aeefc364bad34c920f8ac8e8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e726e7520258088cb390caf2e754291b = L.circleMarker(\n", + " var circle_marker_0f32905bdfc15bdcc80cbb7f9a9f3daa = L.circleMarker(\n", " [37.75537378026224, -122.41111606218875],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6df289980256ccd75356a285f04f56ab = L.popup({"maxWidth": "100%"});\n", + " var popup_6a8a751edc1bc8d6f18fc5a752d890da = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_73925a17af0f7e4e928c3dba7d78135e = $(`<div id="html_73925a17af0f7e4e928c3dba7d78135e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6df289980256ccd75356a285f04f56ab.setContent(html_73925a17af0f7e4e928c3dba7d78135e);\n", + " var html_3c7b417972b8e3a9186df76ed9957f13 = $(`<div id="html_3c7b417972b8e3a9186df76ed9957f13" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_6a8a751edc1bc8d6f18fc5a752d890da.setContent(html_3c7b417972b8e3a9186df76ed9957f13);\n", " \n", "\n", - " circle_marker_e726e7520258088cb390caf2e754291b.bindPopup(popup_6df289980256ccd75356a285f04f56ab)\n", + " circle_marker_0f32905bdfc15bdcc80cbb7f9a9f3daa.bindPopup(popup_6a8a751edc1bc8d6f18fc5a752d890da)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_05459ee73a1acff82fab814cb54cdf06 = L.circleMarker(\n", + " var circle_marker_8862ecb3a56056b2aaa9a239e875c734 = L.circleMarker(\n", " [37.74456173838566, -122.42133239235675],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9f0b2f65472cce2f5daa334175e613c4 = L.popup({"maxWidth": "100%"});\n", + " var popup_1a95f9a50c30f0be934c3c01b76c7b37 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_633631b44d22b1640d6058f11b053144 = $(`<div id="html_633631b44d22b1640d6058f11b053144" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9f0b2f65472cce2f5daa334175e613c4.setContent(html_633631b44d22b1640d6058f11b053144);\n", + " var html_1db8b2bb0bb2ff8f32e82dff1b7210b6 = $(`<div id="html_1db8b2bb0bb2ff8f32e82dff1b7210b6" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1a95f9a50c30f0be934c3c01b76c7b37.setContent(html_1db8b2bb0bb2ff8f32e82dff1b7210b6);\n", " \n", "\n", - " circle_marker_05459ee73a1acff82fab814cb54cdf06.bindPopup(popup_9f0b2f65472cce2f5daa334175e613c4)\n", + " circle_marker_8862ecb3a56056b2aaa9a239e875c734.bindPopup(popup_1a95f9a50c30f0be934c3c01b76c7b37)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f548d2e4e0f94ab7505e170f86feca1a = L.circleMarker(\n", + " var circle_marker_633684176d11d4985b42bbe2cdb95426 = L.circleMarker(\n", " [37.75855610670547, -122.42394850602186],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_477f63f514c7011aaef679466951f39f = L.popup({"maxWidth": "100%"});\n", + " var popup_21b5c06038c50e96b9dc7e93da84a306 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a57d8b0e5f4247ff0ba15979391710f7 = $(`<div id="html_a57d8b0e5f4247ff0ba15979391710f7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_477f63f514c7011aaef679466951f39f.setContent(html_a57d8b0e5f4247ff0ba15979391710f7);\n", + " var html_40690fc6a1b24359457b67b24965a9d0 = $(`<div id="html_40690fc6a1b24359457b67b24965a9d0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_21b5c06038c50e96b9dc7e93da84a306.setContent(html_40690fc6a1b24359457b67b24965a9d0);\n", " \n", "\n", - " circle_marker_f548d2e4e0f94ab7505e170f86feca1a.bindPopup(popup_477f63f514c7011aaef679466951f39f)\n", + " circle_marker_633684176d11d4985b42bbe2cdb95426.bindPopup(popup_21b5c06038c50e96b9dc7e93da84a306)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2e473c2a3b2319d9bde1c2247281668b = L.circleMarker(\n", + " var circle_marker_1696deea8d9a283bb36bd055b226fb79 = L.circleMarker(\n", " [37.75817465417819, -122.40867766046134],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_b2ad1212eb03859c59ba7241b0afa4c5 = L.popup({"maxWidth": "100%"});\n", + " var popup_166e2fdd658fd49f8de697f42628c989 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_1d0a3f8cc1dca46956bebf7adec55a94 = $(`<div id="html_1d0a3f8cc1dca46956bebf7adec55a94" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_b2ad1212eb03859c59ba7241b0afa4c5.setContent(html_1d0a3f8cc1dca46956bebf7adec55a94);\n", + " var html_cbe3770b74ecc398044b516a8d9680be = $(`<div id="html_cbe3770b74ecc398044b516a8d9680be" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_166e2fdd658fd49f8de697f42628c989.setContent(html_cbe3770b74ecc398044b516a8d9680be);\n", " \n", "\n", - " circle_marker_2e473c2a3b2319d9bde1c2247281668b.bindPopup(popup_b2ad1212eb03859c59ba7241b0afa4c5)\n", + " circle_marker_1696deea8d9a283bb36bd055b226fb79.bindPopup(popup_166e2fdd658fd49f8de697f42628c989)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f8a46c62201643f94f64ae7de8e718c6 = L.circleMarker(\n", + " var circle_marker_7a792223580008d9e936ca780896730f = L.circleMarker(\n", " [37.74435235234791, -122.42194819694559],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_639f097cce02336c5104622551bbde65 = L.popup({"maxWidth": "100%"});\n", + " var popup_2bf2d4677b5f08de19dc54e38a9a1602 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2fead024adf76808a95ffcc20d45ec55 = $(`<div id="html_2fead024adf76808a95ffcc20d45ec55" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_639f097cce02336c5104622551bbde65.setContent(html_2fead024adf76808a95ffcc20d45ec55);\n", + " var html_bc87c500c87ff3e615d474dfec494c1d = $(`<div id="html_bc87c500c87ff3e615d474dfec494c1d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_2bf2d4677b5f08de19dc54e38a9a1602.setContent(html_bc87c500c87ff3e615d474dfec494c1d);\n", " \n", "\n", - " circle_marker_f8a46c62201643f94f64ae7de8e718c6.bindPopup(popup_639f097cce02336c5104622551bbde65)\n", + " circle_marker_7a792223580008d9e936ca780896730f.bindPopup(popup_2bf2d4677b5f08de19dc54e38a9a1602)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e3fe3773932852780595de5e6717adc5 = L.circleMarker(\n", + " var circle_marker_0d2395488d6b7fdfca8ef147826eb677 = L.circleMarker(\n", " [37.740893604514234, -122.41356130372293],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_bb1df5128707e6e7ff94016cf78c322b = L.popup({"maxWidth": "100%"});\n", + " var popup_baab4b2c26452c462c3ad6537ac1a24c = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a1ca92f430a9f60ea97d88598fb5af48 = $(`<div id="html_a1ca92f430a9f60ea97d88598fb5af48" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_bb1df5128707e6e7ff94016cf78c322b.setContent(html_a1ca92f430a9f60ea97d88598fb5af48);\n", + " var html_af9f1d75eeda397c11991ae13c00ebd9 = $(`<div id="html_af9f1d75eeda397c11991ae13c00ebd9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_baab4b2c26452c462c3ad6537ac1a24c.setContent(html_af9f1d75eeda397c11991ae13c00ebd9);\n", " \n", "\n", - " circle_marker_e3fe3773932852780595de5e6717adc5.bindPopup(popup_bb1df5128707e6e7ff94016cf78c322b)\n", + " circle_marker_0d2395488d6b7fdfca8ef147826eb677.bindPopup(popup_baab4b2c26452c462c3ad6537ac1a24c)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_96aa863489704f0442b5237c806ad1e2 = L.circleMarker(\n", + " var circle_marker_5f9b7d1c6b5ece8cc3b8b4360255c0ea = L.circleMarker(\n", " [37.7382987149878, -122.4191004858632],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9feee4470eef97707dfb50c1454f398a = L.popup({"maxWidth": "100%"});\n", + " var popup_d2d2187d76df34f7c463206968acc2f5 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_849a87c9145143583daaee79fc27bac5 = $(`<div id="html_849a87c9145143583daaee79fc27bac5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9feee4470eef97707dfb50c1454f398a.setContent(html_849a87c9145143583daaee79fc27bac5);\n", + " var html_7de7614e0a475663ff564cd72bb86d90 = $(`<div id="html_7de7614e0a475663ff564cd72bb86d90" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_d2d2187d76df34f7c463206968acc2f5.setContent(html_7de7614e0a475663ff564cd72bb86d90);\n", " \n", "\n", - " circle_marker_96aa863489704f0442b5237c806ad1e2.bindPopup(popup_9feee4470eef97707dfb50c1454f398a)\n", + " circle_marker_5f9b7d1c6b5ece8cc3b8b4360255c0ea.bindPopup(popup_d2d2187d76df34f7c463206968acc2f5)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ee75a6bf4194d002b4eb9237ae0f6f01 = L.circleMarker(\n", + " var circle_marker_c1bf9901682bfa362548257af53b148e = L.circleMarker(\n", " [37.73307788209335, -122.41682592303474],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_a4408ba79f841f0940d8bf74b227844c = L.popup({"maxWidth": "100%"});\n", + " var popup_cb8c5ec384cafd27c0ca38c26b9716d0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_11e05c498ba5a4cd739697023bbcf09a = $(`<div id="html_11e05c498ba5a4cd739697023bbcf09a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_a4408ba79f841f0940d8bf74b227844c.setContent(html_11e05c498ba5a4cd739697023bbcf09a);\n", + " var html_a917f40e9cfb294fffca223c9b9a1dcd = $(`<div id="html_a917f40e9cfb294fffca223c9b9a1dcd" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_cb8c5ec384cafd27c0ca38c26b9716d0.setContent(html_a917f40e9cfb294fffca223c9b9a1dcd);\n", " \n", "\n", - " circle_marker_ee75a6bf4194d002b4eb9237ae0f6f01.bindPopup(popup_a4408ba79f841f0940d8bf74b227844c)\n", + " circle_marker_c1bf9901682bfa362548257af53b148e.bindPopup(popup_cb8c5ec384cafd27c0ca38c26b9716d0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1268a054d1c9f2eae271134103c478d6 = L.circleMarker(\n", + " var circle_marker_a49590599d61f226648aea2bd70c2968 = L.circleMarker(\n", " [37.742057632289225, -122.41531864893646],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_36a8ae32b5973fbd7e0a71ddaab7966b = L.popup({"maxWidth": "100%"});\n", + " var popup_3f12595d6536367eb69a93f628aaf7aa = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0e22f25700d47eaf4da2606045e0c3aa = $(`<div id="html_0e22f25700d47eaf4da2606045e0c3aa" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_36a8ae32b5973fbd7e0a71ddaab7966b.setContent(html_0e22f25700d47eaf4da2606045e0c3aa);\n", + " var html_78e05fcdc196378a54796225f6414197 = $(`<div id="html_78e05fcdc196378a54796225f6414197" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3f12595d6536367eb69a93f628aaf7aa.setContent(html_78e05fcdc196378a54796225f6414197);\n", " \n", "\n", - " circle_marker_1268a054d1c9f2eae271134103c478d6.bindPopup(popup_36a8ae32b5973fbd7e0a71ddaab7966b)\n", + " circle_marker_a49590599d61f226648aea2bd70c2968.bindPopup(popup_3f12595d6536367eb69a93f628aaf7aa)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_79ea9b998cc12374291a99cee6717b16 = L.circleMarker(\n", + " var circle_marker_a232f17beb225c56eb2ab750a65fc56e = L.circleMarker(\n", " [37.76440867305686, -122.41381831239967],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_5065f1ef9eec651b35af21b9c3dd7e6e = L.popup({"maxWidth": "100%"});\n", + " var popup_127e98876ff327d58f53e39cf811062a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_56501683fae666c263f9a5dd68d9d843 = $(`<div id="html_56501683fae666c263f9a5dd68d9d843" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_5065f1ef9eec651b35af21b9c3dd7e6e.setContent(html_56501683fae666c263f9a5dd68d9d843);\n", + " var html_795d35e3d0e82c8a862cddcd119a0d35 = $(`<div id="html_795d35e3d0e82c8a862cddcd119a0d35" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_127e98876ff327d58f53e39cf811062a.setContent(html_795d35e3d0e82c8a862cddcd119a0d35);\n", " \n", "\n", - " circle_marker_79ea9b998cc12374291a99cee6717b16.bindPopup(popup_5065f1ef9eec651b35af21b9c3dd7e6e)\n", + " circle_marker_a232f17beb225c56eb2ab750a65fc56e.bindPopup(popup_127e98876ff327d58f53e39cf811062a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d8493ef045f3e7f5c2271740274a12c9 = L.circleMarker(\n", + " var circle_marker_8090b6de967c0eba6b92824b6058d302 = L.circleMarker(\n", " [37.74901705715819, -122.41757863525594],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_db316df09dfd91aa533faaa7667a13f3 = L.popup({"maxWidth": "100%"});\n", + " var popup_3e4bdfd4f1e8fa5234154457ea1e18f2 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_88980c56773521896c117653cfd77afd = $(`<div id="html_88980c56773521896c117653cfd77afd" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_db316df09dfd91aa533faaa7667a13f3.setContent(html_88980c56773521896c117653cfd77afd);\n", + " var html_e1bec6623e94c7582d05dcd7a9cddb0c = $(`<div id="html_e1bec6623e94c7582d05dcd7a9cddb0c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3e4bdfd4f1e8fa5234154457ea1e18f2.setContent(html_e1bec6623e94c7582d05dcd7a9cddb0c);\n", " \n", "\n", - " circle_marker_d8493ef045f3e7f5c2271740274a12c9.bindPopup(popup_db316df09dfd91aa533faaa7667a13f3)\n", + " circle_marker_8090b6de967c0eba6b92824b6058d302.bindPopup(popup_3e4bdfd4f1e8fa5234154457ea1e18f2)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b775331aff58f47079d6abd196675251 = L.circleMarker(\n", + " var circle_marker_0441fdf7eb65b1d49fce874fc2fc5338 = L.circleMarker(\n", " [37.75488633070316, -122.41487544794536],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_3dc2a2db9960faf84ede6efbefe03ccf = L.popup({"maxWidth": "100%"});\n", + " var popup_c98cff13f27b8ef2bb74def288c630a8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_156b7ea276a58a9be3a0e5c6492e0adb = $(`<div id="html_156b7ea276a58a9be3a0e5c6492e0adb" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_3dc2a2db9960faf84ede6efbefe03ccf.setContent(html_156b7ea276a58a9be3a0e5c6492e0adb);\n", + " var html_699b8812bc4f9feeea8862b0bf31c972 = $(`<div id="html_699b8812bc4f9feeea8862b0bf31c972" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_c98cff13f27b8ef2bb74def288c630a8.setContent(html_699b8812bc4f9feeea8862b0bf31c972);\n", " \n", "\n", - " circle_marker_b775331aff58f47079d6abd196675251.bindPopup(popup_3dc2a2db9960faf84ede6efbefe03ccf)\n", + " circle_marker_0441fdf7eb65b1d49fce874fc2fc5338.bindPopup(popup_c98cff13f27b8ef2bb74def288c630a8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_38fe0044e6da766135e9bb843088f5dc = L.circleMarker(\n", + " var circle_marker_1e0dbce06d2bd4d2d4936f6c795fc906 = L.circleMarker(\n", " [37.73596321664609, -122.42148375412637],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4c82e4565e731df582011ddff3c3044e = L.popup({"maxWidth": "100%"});\n", + " var popup_58e495246279fb4b8949535390280097 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_9996262ffb57c375d262b34681f7de38 = $(`<div id="html_9996262ffb57c375d262b34681f7de38" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4c82e4565e731df582011ddff3c3044e.setContent(html_9996262ffb57c375d262b34681f7de38);\n", + " var html_8282fb145bbedc4171c48b5096c48d9d = $(`<div id="html_8282fb145bbedc4171c48b5096c48d9d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_58e495246279fb4b8949535390280097.setContent(html_8282fb145bbedc4171c48b5096c48d9d);\n", " \n", "\n", - " circle_marker_38fe0044e6da766135e9bb843088f5dc.bindPopup(popup_4c82e4565e731df582011ddff3c3044e)\n", + " circle_marker_1e0dbce06d2bd4d2d4936f6c795fc906.bindPopup(popup_58e495246279fb4b8949535390280097)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_aa93d2fa5f7de921b971607e2b714772 = L.circleMarker(\n", + " var circle_marker_63adac5978044af1400eff2a542591a1 = L.circleMarker(\n", " [37.764304983194315, -122.41854278041016],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_df07e50390cb32a86c0d2b0670e2fc10 = L.popup({"maxWidth": "100%"});\n", + " var popup_6d1c9353b8353e37687c8542302c35ad = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a989145a4e62b57bf517d8d397fcf2f4 = $(`<div id="html_a989145a4e62b57bf517d8d397fcf2f4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_df07e50390cb32a86c0d2b0670e2fc10.setContent(html_a989145a4e62b57bf517d8d397fcf2f4);\n", + " var html_d4a6f8863b4b321d7329d0b4cfa36038 = $(`<div id="html_d4a6f8863b4b321d7329d0b4cfa36038" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_6d1c9353b8353e37687c8542302c35ad.setContent(html_d4a6f8863b4b321d7329d0b4cfa36038);\n", " \n", "\n", - " circle_marker_aa93d2fa5f7de921b971607e2b714772.bindPopup(popup_df07e50390cb32a86c0d2b0670e2fc10)\n", + " circle_marker_63adac5978044af1400eff2a542591a1.bindPopup(popup_6d1c9353b8353e37687c8542302c35ad)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_afd6f80f4c6417bb6654e841655949ae = L.circleMarker(\n", + " var circle_marker_156c2b1708f9febf74b2b5d1f3130934 = L.circleMarker(\n", " [37.76250964248838, -122.42379568293042],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9faa9b33e6408a7126aeca7afbfaa34e = L.popup({"maxWidth": "100%"});\n", + " var popup_3523c11c7fd582dd196ef338e6d0df5c = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_46f8acfbc2253d446331efa93974b030 = $(`<div id="html_46f8acfbc2253d446331efa93974b030" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9faa9b33e6408a7126aeca7afbfaa34e.setContent(html_46f8acfbc2253d446331efa93974b030);\n", + " var html_17f706eec358c7cb13d168cc751cfa13 = $(`<div id="html_17f706eec358c7cb13d168cc751cfa13" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3523c11c7fd582dd196ef338e6d0df5c.setContent(html_17f706eec358c7cb13d168cc751cfa13);\n", " \n", "\n", - " circle_marker_afd6f80f4c6417bb6654e841655949ae.bindPopup(popup_9faa9b33e6408a7126aeca7afbfaa34e)\n", + " circle_marker_156c2b1708f9febf74b2b5d1f3130934.bindPopup(popup_3523c11c7fd582dd196ef338e6d0df5c)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_41eeeddc45f03b7b0cc428301e7550db = L.circleMarker(\n", + " var circle_marker_d8d8af745c1225fe245db4adc7bed92f = L.circleMarker(\n", " [37.747198302368524, -122.41468049513983],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_331a566b3bb17fe3626e753f8d5df77c = L.popup({"maxWidth": "100%"});\n", + " var popup_4366302903359fac8747ca581f8dc70f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_1ccc7855398e979072576e8e98e28d5d = $(`<div id="html_1ccc7855398e979072576e8e98e28d5d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_331a566b3bb17fe3626e753f8d5df77c.setContent(html_1ccc7855398e979072576e8e98e28d5d);\n", + " var html_167db4eaab3d9ed6c498bc85ccc0ce46 = $(`<div id="html_167db4eaab3d9ed6c498bc85ccc0ce46" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_4366302903359fac8747ca581f8dc70f.setContent(html_167db4eaab3d9ed6c498bc85ccc0ce46);\n", " \n", "\n", - " circle_marker_41eeeddc45f03b7b0cc428301e7550db.bindPopup(popup_331a566b3bb17fe3626e753f8d5df77c)\n", + " circle_marker_d8d8af745c1225fe245db4adc7bed92f.bindPopup(popup_4366302903359fac8747ca581f8dc70f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_79827b88415ca07a60a830dd0d211742 = L.circleMarker(\n", + " var circle_marker_3cec806d8dd39f2325b924ab8d61d771 = L.circleMarker(\n", " [37.74725626848265, -122.40603654972017],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_1de16b6db75bffa0fbf50a3b2adadefa = L.popup({"maxWidth": "100%"});\n", + " var popup_622f9ca847b41144015b70465c785489 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2388079cefbee9891b366eaf6eef4dd2 = $(`<div id="html_2388079cefbee9891b366eaf6eef4dd2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_1de16b6db75bffa0fbf50a3b2adadefa.setContent(html_2388079cefbee9891b366eaf6eef4dd2);\n", + " var html_ced194ca7aa35f15aefebb1a7d383923 = $(`<div id="html_ced194ca7aa35f15aefebb1a7d383923" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_622f9ca847b41144015b70465c785489.setContent(html_ced194ca7aa35f15aefebb1a7d383923);\n", " \n", "\n", - " circle_marker_79827b88415ca07a60a830dd0d211742.bindPopup(popup_1de16b6db75bffa0fbf50a3b2adadefa)\n", + " circle_marker_3cec806d8dd39f2325b924ab8d61d771.bindPopup(popup_622f9ca847b41144015b70465c785489)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8e554585eec1a16bcce258502553a4d9 = L.circleMarker(\n", + " var circle_marker_581f92c1dcbec8be98e49427dec9dcbd = L.circleMarker(\n", " [37.745215819217684, -122.41007117187876],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9a299a6ccb4f0060323fbd09bdb0e907 = L.popup({"maxWidth": "100%"});\n", + " var popup_78ce0d5e28881687c0076b2704b7e118 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6e7b1601d333ba3946b5a978dd6ca51d = $(`<div id="html_6e7b1601d333ba3946b5a978dd6ca51d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9a299a6ccb4f0060323fbd09bdb0e907.setContent(html_6e7b1601d333ba3946b5a978dd6ca51d);\n", + " var html_ba5b3d91c0284aa9d31d1db8e921bc33 = $(`<div id="html_ba5b3d91c0284aa9d31d1db8e921bc33" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_78ce0d5e28881687c0076b2704b7e118.setContent(html_ba5b3d91c0284aa9d31d1db8e921bc33);\n", " \n", "\n", - " circle_marker_8e554585eec1a16bcce258502553a4d9.bindPopup(popup_9a299a6ccb4f0060323fbd09bdb0e907)\n", + " circle_marker_581f92c1dcbec8be98e49427dec9dcbd.bindPopup(popup_78ce0d5e28881687c0076b2704b7e118)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4c4265452a038f8b9f51438d1ac0023e = L.circleMarker(\n", + " var circle_marker_43ead973119e93aac4790cc56b3410e2 = L.circleMarker(\n", " [37.75518197689151, -122.40547424149503],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_809d8bf83254ceae92574429c67bee4f = L.popup({"maxWidth": "100%"});\n", + " var popup_3490801baae024eb5a6fb94957c7b6a7 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ae2180b761bf1823c2f0c93f59adca94 = $(`<div id="html_ae2180b761bf1823c2f0c93f59adca94" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_809d8bf83254ceae92574429c67bee4f.setContent(html_ae2180b761bf1823c2f0c93f59adca94);\n", + " var html_176c8561bf3182241f88def48dbcdff4 = $(`<div id="html_176c8561bf3182241f88def48dbcdff4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3490801baae024eb5a6fb94957c7b6a7.setContent(html_176c8561bf3182241f88def48dbcdff4);\n", " \n", "\n", - " circle_marker_4c4265452a038f8b9f51438d1ac0023e.bindPopup(popup_809d8bf83254ceae92574429c67bee4f)\n", + " circle_marker_43ead973119e93aac4790cc56b3410e2.bindPopup(popup_3490801baae024eb5a6fb94957c7b6a7)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7812dfe4dd59f129c7b66939ee0ddf48 = L.circleMarker(\n", + " var circle_marker_2f7f28b36f30ea2a4d30b4743913896b = L.circleMarker(\n", " [37.742773768312524, -122.41069845878158],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_86a3ac22d6f4a1ec53b38c45b80317ef = L.popup({"maxWidth": "100%"});\n", + " var popup_28e087a371cb2b04cf9938ac24fcc7a7 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_323a7759916a7038af102cf0486e6baf = $(`<div id="html_323a7759916a7038af102cf0486e6baf" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_86a3ac22d6f4a1ec53b38c45b80317ef.setContent(html_323a7759916a7038af102cf0486e6baf);\n", + " var html_8be47fb549d46b547893cec07bf55bfe = $(`<div id="html_8be47fb549d46b547893cec07bf55bfe" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_28e087a371cb2b04cf9938ac24fcc7a7.setContent(html_8be47fb549d46b547893cec07bf55bfe);\n", " \n", "\n", - " circle_marker_7812dfe4dd59f129c7b66939ee0ddf48.bindPopup(popup_86a3ac22d6f4a1ec53b38c45b80317ef)\n", + " circle_marker_2f7f28b36f30ea2a4d30b4743913896b.bindPopup(popup_28e087a371cb2b04cf9938ac24fcc7a7)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1f16bc9bb72a204072ffb14a80c1b447 = L.circleMarker(\n", + " var circle_marker_9632fdf541388c751848bff3c87fff04 = L.circleMarker(\n", " [37.75333381902695, -122.40923776500622],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_8735d54d0de5f8215899b32a94ba092e = L.popup({"maxWidth": "100%"});\n", + " var popup_3479e700c53d5fca8f575e8c1d74235d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_74029a7999987ebb9632b14d6fc7fa05 = $(`<div id="html_74029a7999987ebb9632b14d6fc7fa05" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_8735d54d0de5f8215899b32a94ba092e.setContent(html_74029a7999987ebb9632b14d6fc7fa05);\n", + " var html_e018a14128febb724ab02cc91105c359 = $(`<div id="html_e018a14128febb724ab02cc91105c359" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3479e700c53d5fca8f575e8c1d74235d.setContent(html_e018a14128febb724ab02cc91105c359);\n", " \n", "\n", - " circle_marker_1f16bc9bb72a204072ffb14a80c1b447.bindPopup(popup_8735d54d0de5f8215899b32a94ba092e)\n", + " circle_marker_9632fdf541388c751848bff3c87fff04.bindPopup(popup_3479e700c53d5fca8f575e8c1d74235d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2a2c23ddd835f67f8bd77a9ea8b70f22 = L.circleMarker(\n", + " var circle_marker_e81e0d214a33e7feb45b1f41158d6ab1 = L.circleMarker(\n", " [37.737048133592474, -122.42244404189351],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_ef7fb2b3f3f4f00f8097bad38d88aeb2 = L.popup({"maxWidth": "100%"});\n", + " var popup_d86b69558ac4ddfe9727d1d6603ebd65 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_403707ec98e1fb8d3fa0aa10672a33a8 = $(`<div id="html_403707ec98e1fb8d3fa0aa10672a33a8" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_ef7fb2b3f3f4f00f8097bad38d88aeb2.setContent(html_403707ec98e1fb8d3fa0aa10672a33a8);\n", + " var html_3a885ae9301edfa4e26b953b16fb0a2b = $(`<div id="html_3a885ae9301edfa4e26b953b16fb0a2b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_d86b69558ac4ddfe9727d1d6603ebd65.setContent(html_3a885ae9301edfa4e26b953b16fb0a2b);\n", " \n", "\n", - " circle_marker_2a2c23ddd835f67f8bd77a9ea8b70f22.bindPopup(popup_ef7fb2b3f3f4f00f8097bad38d88aeb2)\n", + " circle_marker_e81e0d214a33e7feb45b1f41158d6ab1.bindPopup(popup_d86b69558ac4ddfe9727d1d6603ebd65)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_753437e93e62331f338e8cd7e588b585 = L.circleMarker(\n", + " var circle_marker_c95d3a58976281e3884b6ea2e01ea0fe = L.circleMarker(\n", " [37.76439953782074, -122.40822541947725],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_b32f5427a0f994ecbf26c5727f49ff37 = L.popup({"maxWidth": "100%"});\n", + " var popup_e89c4f8c47196c8eb5ee9011fab3bceb = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f15cacd4081c75c64ceca1cb1473eca1 = $(`<div id="html_f15cacd4081c75c64ceca1cb1473eca1" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_b32f5427a0f994ecbf26c5727f49ff37.setContent(html_f15cacd4081c75c64ceca1cb1473eca1);\n", + " var html_d1dc1c3abe1635c8eee66223e34e9046 = $(`<div id="html_d1dc1c3abe1635c8eee66223e34e9046" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_e89c4f8c47196c8eb5ee9011fab3bceb.setContent(html_d1dc1c3abe1635c8eee66223e34e9046);\n", " \n", "\n", - " circle_marker_753437e93e62331f338e8cd7e588b585.bindPopup(popup_b32f5427a0f994ecbf26c5727f49ff37)\n", + " circle_marker_c95d3a58976281e3884b6ea2e01ea0fe.bindPopup(popup_e89c4f8c47196c8eb5ee9011fab3bceb)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_40e2689b1bd085cdac58b7490b9b9641 = L.circleMarker(\n", + " var circle_marker_d338e48297e575b77d234af5a694fe00 = L.circleMarker(\n", " [37.751790025694, -122.41686980413054],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c639cb4a6692ed7411f72cbc37007e14 = L.popup({"maxWidth": "100%"});\n", + " var popup_9d70256c2a002691dae2198b428cb0bd = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_b4f924be8272353c4fcb768122c4d937 = $(`<div id="html_b4f924be8272353c4fcb768122c4d937" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c639cb4a6692ed7411f72cbc37007e14.setContent(html_b4f924be8272353c4fcb768122c4d937);\n", + " var html_ece977728bed1eba94fc45cdecc596c8 = $(`<div id="html_ece977728bed1eba94fc45cdecc596c8" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9d70256c2a002691dae2198b428cb0bd.setContent(html_ece977728bed1eba94fc45cdecc596c8);\n", " \n", "\n", - " circle_marker_40e2689b1bd085cdac58b7490b9b9641.bindPopup(popup_c639cb4a6692ed7411f72cbc37007e14)\n", + " circle_marker_d338e48297e575b77d234af5a694fe00.bindPopup(popup_9d70256c2a002691dae2198b428cb0bd)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f30a8bb019b270b677a0b4df82fa4a88 = L.circleMarker(\n", + " var circle_marker_3d5d3c1ae30d35482def8c603bbab5b8 = L.circleMarker(\n", " [37.74720898883046, -122.406658040105],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_12015af84322eb24a390942998f342a0 = L.popup({"maxWidth": "100%"});\n", + " var popup_28e2b337091e57c1aaa9dc1e9e8d32ec = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ea6e183c7e6c14e47ef5f504c979bf80 = $(`<div id="html_ea6e183c7e6c14e47ef5f504c979bf80" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_12015af84322eb24a390942998f342a0.setContent(html_ea6e183c7e6c14e47ef5f504c979bf80);\n", + " var html_498cb94b353e1384f05a5de3097eebd7 = $(`<div id="html_498cb94b353e1384f05a5de3097eebd7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_28e2b337091e57c1aaa9dc1e9e8d32ec.setContent(html_498cb94b353e1384f05a5de3097eebd7);\n", " \n", "\n", - " circle_marker_f30a8bb019b270b677a0b4df82fa4a88.bindPopup(popup_12015af84322eb24a390942998f342a0)\n", + " circle_marker_3d5d3c1ae30d35482def8c603bbab5b8.bindPopup(popup_28e2b337091e57c1aaa9dc1e9e8d32ec)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bd7031696b9783c9981abe61dab26bfb = L.circleMarker(\n", + " var circle_marker_95afbc7cec1ce8b7f5e1db053f0f4aba = L.circleMarker(\n", " [37.75126832579771, -122.40425189587008],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_ca305749eea4646ab4149c5623edebad = L.popup({"maxWidth": "100%"});\n", + " var popup_a7ee26623587afaeb41def702d78d1a0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_43e0b63564bbcf39deb1188be557c7bd = $(`<div id="html_43e0b63564bbcf39deb1188be557c7bd" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_ca305749eea4646ab4149c5623edebad.setContent(html_43e0b63564bbcf39deb1188be557c7bd);\n", + " var html_9632d8a044332561ac8c7980cebe31f3 = $(`<div id="html_9632d8a044332561ac8c7980cebe31f3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a7ee26623587afaeb41def702d78d1a0.setContent(html_9632d8a044332561ac8c7980cebe31f3);\n", " \n", "\n", - " circle_marker_bd7031696b9783c9981abe61dab26bfb.bindPopup(popup_ca305749eea4646ab4149c5623edebad)\n", + " circle_marker_95afbc7cec1ce8b7f5e1db053f0f4aba.bindPopup(popup_a7ee26623587afaeb41def702d78d1a0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_3dfb1c7b5ca88376d5b48722720665f0 = L.circleMarker(\n", + " var circle_marker_a5f6b6e37f95c774ab4d06e7539f3d8a = L.circleMarker(\n", " [37.762676079668196, -122.40760247546336],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_7bf565bce09f27070a2c5809a94838fd = L.popup({"maxWidth": "100%"});\n", + " var popup_7370c451b39e404be04c5329d88aa4e4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6543cb03c501d4709feb4ffc20844a3f = $(`<div id="html_6543cb03c501d4709feb4ffc20844a3f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_7bf565bce09f27070a2c5809a94838fd.setContent(html_6543cb03c501d4709feb4ffc20844a3f);\n", + " var html_50874e1ea689f5188da971dddf706e2d = $(`<div id="html_50874e1ea689f5188da971dddf706e2d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_7370c451b39e404be04c5329d88aa4e4.setContent(html_50874e1ea689f5188da971dddf706e2d);\n", " \n", "\n", - " circle_marker_3dfb1c7b5ca88376d5b48722720665f0.bindPopup(popup_7bf565bce09f27070a2c5809a94838fd)\n", + " circle_marker_a5f6b6e37f95c774ab4d06e7539f3d8a.bindPopup(popup_7370c451b39e404be04c5329d88aa4e4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a429c076f88ea506bb0b68f44cfdb507 = L.circleMarker(\n", + " var circle_marker_fc555e3a05e7039e3c87dcf62a6d2f6d = L.circleMarker(\n", " [37.7451955764892, -122.41250587149135],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4dd619ea42eb21191f98bf96f410e9c8 = L.popup({"maxWidth": "100%"});\n", + " var popup_46f7492f07c868f2dbe82041a0b8209e = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_3e1fde37be7c9d41323e3b473eeb6328 = $(`<div id="html_3e1fde37be7c9d41323e3b473eeb6328" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4dd619ea42eb21191f98bf96f410e9c8.setContent(html_3e1fde37be7c9d41323e3b473eeb6328);\n", + " var html_9f07e4e40c85dad714ce98e9b8c29a0a = $(`<div id="html_9f07e4e40c85dad714ce98e9b8c29a0a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_46f7492f07c868f2dbe82041a0b8209e.setContent(html_9f07e4e40c85dad714ce98e9b8c29a0a);\n", " \n", "\n", - " circle_marker_a429c076f88ea506bb0b68f44cfdb507.bindPopup(popup_4dd619ea42eb21191f98bf96f410e9c8)\n", + " circle_marker_fc555e3a05e7039e3c87dcf62a6d2f6d.bindPopup(popup_46f7492f07c868f2dbe82041a0b8209e)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7b45614b40d00e0e0015446659261687 = L.circleMarker(\n", + " var circle_marker_4d5c9be36a21d198f4714b984b2c86fc = L.circleMarker(\n", " [37.760627863987054, -122.42196706998658],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9f6f28037a65075d77e48517855b95f8 = L.popup({"maxWidth": "100%"});\n", + " var popup_ab5570cac2f133fa3b43a2043aa60617 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_538a910987e548e1e21394e958083181 = $(`<div id="html_538a910987e548e1e21394e958083181" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9f6f28037a65075d77e48517855b95f8.setContent(html_538a910987e548e1e21394e958083181);\n", + " var html_b43ef3baf016c62ed19e99a3259d666e = $(`<div id="html_b43ef3baf016c62ed19e99a3259d666e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ab5570cac2f133fa3b43a2043aa60617.setContent(html_b43ef3baf016c62ed19e99a3259d666e);\n", " \n", "\n", - " circle_marker_7b45614b40d00e0e0015446659261687.bindPopup(popup_9f6f28037a65075d77e48517855b95f8)\n", + " circle_marker_4d5c9be36a21d198f4714b984b2c86fc.bindPopup(popup_ab5570cac2f133fa3b43a2043aa60617)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4d50349226d289e5bbc17403a6e61303 = L.circleMarker(\n", + " var circle_marker_6db4a76725d53aa6238659d313f873f3 = L.circleMarker(\n", " [37.743766497582506, -122.41949619370845],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_3d825f3554dad29f8677534ca1c9ad15 = L.popup({"maxWidth": "100%"});\n", + " var popup_07572a9248326d49025dd93b08f627e5 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d4ea5b919a9ec24eaf19a7aadf897aee = $(`<div id="html_d4ea5b919a9ec24eaf19a7aadf897aee" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_3d825f3554dad29f8677534ca1c9ad15.setContent(html_d4ea5b919a9ec24eaf19a7aadf897aee);\n", + " var html_30b63a0b459fb9c28b683ff8170ddb69 = $(`<div id="html_30b63a0b459fb9c28b683ff8170ddb69" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_07572a9248326d49025dd93b08f627e5.setContent(html_30b63a0b459fb9c28b683ff8170ddb69);\n", " \n", "\n", - " circle_marker_4d50349226d289e5bbc17403a6e61303.bindPopup(popup_3d825f3554dad29f8677534ca1c9ad15)\n", + " circle_marker_6db4a76725d53aa6238659d313f873f3.bindPopup(popup_07572a9248326d49025dd93b08f627e5)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_479716b435d2dbf3de0069048f307d20 = L.circleMarker(\n", + " var circle_marker_43f7ab5e0a3921fe6e5488d24311b6b3 = L.circleMarker(\n", " [37.76337637245978, -122.41832341219747],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_38a1367831a79b448c4b47f2cfa81c1b = L.popup({"maxWidth": "100%"});\n", + " var popup_932b6b4b30c81426e82c0fd618815262 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_647d3498caeda360b938f95afbc0196f = $(`<div id="html_647d3498caeda360b938f95afbc0196f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_38a1367831a79b448c4b47f2cfa81c1b.setContent(html_647d3498caeda360b938f95afbc0196f);\n", + " var html_a29197b719a3bce94d56c6c67ea6fbc6 = $(`<div id="html_a29197b719a3bce94d56c6c67ea6fbc6" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_932b6b4b30c81426e82c0fd618815262.setContent(html_a29197b719a3bce94d56c6c67ea6fbc6);\n", " \n", "\n", - " circle_marker_479716b435d2dbf3de0069048f307d20.bindPopup(popup_38a1367831a79b448c4b47f2cfa81c1b)\n", + " circle_marker_43f7ab5e0a3921fe6e5488d24311b6b3.bindPopup(popup_932b6b4b30c81426e82c0fd618815262)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_6bf46479cf7267ac67e29a2abc9b0695 = L.circleMarker(\n", + " var circle_marker_02a975b3c8461893657761b5f5d86179 = L.circleMarker(\n", " [37.763924686918585, -122.42603224084327],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_0eb6d002a760cb3d1ac1824f297f5d2f = L.popup({"maxWidth": "100%"});\n", + " var popup_fac597e931ca93b745e654f3a44b63e7 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_99e204abbec5109062cbd317ad6712eb = $(`<div id="html_99e204abbec5109062cbd317ad6712eb" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_0eb6d002a760cb3d1ac1824f297f5d2f.setContent(html_99e204abbec5109062cbd317ad6712eb);\n", + " var html_a99f1c265bebf916b19e590578edbf23 = $(`<div id="html_a99f1c265bebf916b19e590578edbf23" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_fac597e931ca93b745e654f3a44b63e7.setContent(html_a99f1c265bebf916b19e590578edbf23);\n", " \n", "\n", - " circle_marker_6bf46479cf7267ac67e29a2abc9b0695.bindPopup(popup_0eb6d002a760cb3d1ac1824f297f5d2f)\n", + " circle_marker_02a975b3c8461893657761b5f5d86179.bindPopup(popup_fac597e931ca93b745e654f3a44b63e7)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_22def2404474fa601e79860397c1f713 = L.circleMarker(\n", + " var circle_marker_9ce9ba56c165291b2a81416b62c32754 = L.circleMarker(\n", " [37.747104153769286, -122.40635735111336],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_900111b3fb492abb0c4150bc7da55aba = L.popup({"maxWidth": "100%"});\n", + " var popup_ac3ba35c4aecf124daf3e0ae9191d02d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ff2bb2c6f94288c6886f34a461de7190 = $(`<div id="html_ff2bb2c6f94288c6886f34a461de7190" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_900111b3fb492abb0c4150bc7da55aba.setContent(html_ff2bb2c6f94288c6886f34a461de7190);\n", + " var html_3b6e300803be41524454ca6914ee129b = $(`<div id="html_3b6e300803be41524454ca6914ee129b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ac3ba35c4aecf124daf3e0ae9191d02d.setContent(html_3b6e300803be41524454ca6914ee129b);\n", " \n", "\n", - " circle_marker_22def2404474fa601e79860397c1f713.bindPopup(popup_900111b3fb492abb0c4150bc7da55aba)\n", + " circle_marker_9ce9ba56c165291b2a81416b62c32754.bindPopup(popup_ac3ba35c4aecf124daf3e0ae9191d02d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_64eba16876ddf3a4e00e05e2be814817 = L.circleMarker(\n", + " var circle_marker_dc190c951c3fc5dc6e96928962c2b751 = L.circleMarker(\n", " [37.73952102093955, -122.42022883226554],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_b87a2a028ed26349464960fe4e0518f0 = L.popup({"maxWidth": "100%"});\n", + " var popup_3687cdfe303a066ea71fc67788b004a0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0c7c5fdee9242e81dbd2c751207ffaa3 = $(`<div id="html_0c7c5fdee9242e81dbd2c751207ffaa3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_b87a2a028ed26349464960fe4e0518f0.setContent(html_0c7c5fdee9242e81dbd2c751207ffaa3);\n", + " var html_3e80e137a34f6b28faf86f029fb49ba5 = $(`<div id="html_3e80e137a34f6b28faf86f029fb49ba5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3687cdfe303a066ea71fc67788b004a0.setContent(html_3e80e137a34f6b28faf86f029fb49ba5);\n", " \n", "\n", - " circle_marker_64eba16876ddf3a4e00e05e2be814817.bindPopup(popup_b87a2a028ed26349464960fe4e0518f0)\n", + " circle_marker_dc190c951c3fc5dc6e96928962c2b751.bindPopup(popup_3687cdfe303a066ea71fc67788b004a0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f2baedb45f820394071f2246ded6e704 = L.circleMarker(\n", + " var circle_marker_747f3fd51239abcd22374eedbc81ee5f = L.circleMarker(\n", " [37.740221292002616, -122.42292601164742],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_813083dfe0a9bddbd519a6d15beb0127 = L.popup({"maxWidth": "100%"});\n", + " var popup_5bee35b17928c951131799b1af39706f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_766aa58baea5eba1393ccac7f42e6c8d = $(`<div id="html_766aa58baea5eba1393ccac7f42e6c8d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_813083dfe0a9bddbd519a6d15beb0127.setContent(html_766aa58baea5eba1393ccac7f42e6c8d);\n", + " var html_0ff249e5b8e43851404840ac27b1ad00 = $(`<div id="html_0ff249e5b8e43851404840ac27b1ad00" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_5bee35b17928c951131799b1af39706f.setContent(html_0ff249e5b8e43851404840ac27b1ad00);\n", " \n", "\n", - " circle_marker_f2baedb45f820394071f2246ded6e704.bindPopup(popup_813083dfe0a9bddbd519a6d15beb0127)\n", + " circle_marker_747f3fd51239abcd22374eedbc81ee5f.bindPopup(popup_5bee35b17928c951131799b1af39706f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ba2e98ac544055e78810c4736080d8c3 = L.circleMarker(\n", + " var circle_marker_0f17db31f2edff427a57ae9380e6ba42 = L.circleMarker(\n", " [37.7319622165618, -122.42522875251106],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_e46041b96937e1ed243cd720721a6897 = L.popup({"maxWidth": "100%"});\n", + " var popup_ddf41e117d58eba94d9e37531b7da936 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_553b242ac4f4196d8050d0ca9ab01cda = $(`<div id="html_553b242ac4f4196d8050d0ca9ab01cda" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_e46041b96937e1ed243cd720721a6897.setContent(html_553b242ac4f4196d8050d0ca9ab01cda);\n", + " var html_57a5a38871bd0b0697896e035738a6e3 = $(`<div id="html_57a5a38871bd0b0697896e035738a6e3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ddf41e117d58eba94d9e37531b7da936.setContent(html_57a5a38871bd0b0697896e035738a6e3);\n", " \n", "\n", - " circle_marker_ba2e98ac544055e78810c4736080d8c3.bindPopup(popup_e46041b96937e1ed243cd720721a6897)\n", + " circle_marker_0f17db31f2edff427a57ae9380e6ba42.bindPopup(popup_ddf41e117d58eba94d9e37531b7da936)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bf3d09989af57ffda0d326f9bf67b696 = L.circleMarker(\n", + " var circle_marker_f8f26dc1b81457a149f3b2d661a8fa49 = L.circleMarker(\n", " [37.73713086318324, -122.41812421353865],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_0b797d323540f74ba555f1666c52964e = L.popup({"maxWidth": "100%"});\n", + " var popup_56e4dbc7b746cbefb1d92b474430d3d4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_837442445f6e9e8827a874a2a777a180 = $(`<div id="html_837442445f6e9e8827a874a2a777a180" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_0b797d323540f74ba555f1666c52964e.setContent(html_837442445f6e9e8827a874a2a777a180);\n", + " var html_f39ed4dcce66c7841a2866cb51f1c5b7 = $(`<div id="html_f39ed4dcce66c7841a2866cb51f1c5b7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_56e4dbc7b746cbefb1d92b474430d3d4.setContent(html_f39ed4dcce66c7841a2866cb51f1c5b7);\n", " \n", "\n", - " circle_marker_bf3d09989af57ffda0d326f9bf67b696.bindPopup(popup_0b797d323540f74ba555f1666c52964e)\n", + " circle_marker_f8f26dc1b81457a149f3b2d661a8fa49.bindPopup(popup_56e4dbc7b746cbefb1d92b474430d3d4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_dffce871cfcba47459ea294e164d8d62 = L.circleMarker(\n", + " var circle_marker_0aa7a7606907c4c97652fb45cf6ac22f = L.circleMarker(\n", " [37.7483419775086, -122.41225380452875],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4068a9cf5a087d9733cfc75d25250b3d = L.popup({"maxWidth": "100%"});\n", + " var popup_ed174f081f3655dc4e6a83fdd3452066 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_404631bde07e129f3c478de552575b1c = $(`<div id="html_404631bde07e129f3c478de552575b1c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4068a9cf5a087d9733cfc75d25250b3d.setContent(html_404631bde07e129f3c478de552575b1c);\n", + " var html_d6bf46f1c7c7940db9cb4f7be0884f6c = $(`<div id="html_d6bf46f1c7c7940db9cb4f7be0884f6c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ed174f081f3655dc4e6a83fdd3452066.setContent(html_d6bf46f1c7c7940db9cb4f7be0884f6c);\n", " \n", "\n", - " circle_marker_dffce871cfcba47459ea294e164d8d62.bindPopup(popup_4068a9cf5a087d9733cfc75d25250b3d)\n", + " circle_marker_0aa7a7606907c4c97652fb45cf6ac22f.bindPopup(popup_ed174f081f3655dc4e6a83fdd3452066)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_559fb80e75638df0557c32e42c0d15de = L.circleMarker(\n", + " var circle_marker_6f0cc66477be9fe2b77f8fc8f04c8191 = L.circleMarker(\n", " [37.74142707173661, -122.40856166069446],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_99657ace17af4a4df8c2734089757338 = L.popup({"maxWidth": "100%"});\n", + " var popup_c78f07fe4ae04cf19f1d734bda0fad09 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_3e7cc3baccbfcef5eee59fbca6b6ef48 = $(`<div id="html_3e7cc3baccbfcef5eee59fbca6b6ef48" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_99657ace17af4a4df8c2734089757338.setContent(html_3e7cc3baccbfcef5eee59fbca6b6ef48);\n", + " var html_c4d13c70eea8a9cd07cdd06be95d6367 = $(`<div id="html_c4d13c70eea8a9cd07cdd06be95d6367" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_c78f07fe4ae04cf19f1d734bda0fad09.setContent(html_c4d13c70eea8a9cd07cdd06be95d6367);\n", " \n", "\n", - " circle_marker_559fb80e75638df0557c32e42c0d15de.bindPopup(popup_99657ace17af4a4df8c2734089757338)\n", + " circle_marker_6f0cc66477be9fe2b77f8fc8f04c8191.bindPopup(popup_c78f07fe4ae04cf19f1d734bda0fad09)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c6cbab629584b6a82a36f7f4ff474715 = L.circleMarker(\n", + " var circle_marker_51565a664fad7210c98b124def6e4a4f = L.circleMarker(\n", " [37.75423945656585, -122.42240830574532],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_d6b3a29dfb1c673bda4569daac20aad0 = L.popup({"maxWidth": "100%"});\n", + " var popup_d6f73d8d0c38f55b54cb2e19b01de021 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_9c649bcf2933e1106f861bdce2652611 = $(`<div id="html_9c649bcf2933e1106f861bdce2652611" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_d6b3a29dfb1c673bda4569daac20aad0.setContent(html_9c649bcf2933e1106f861bdce2652611);\n", + " var html_60d1ff9cecf113f53d845d0011c4c485 = $(`<div id="html_60d1ff9cecf113f53d845d0011c4c485" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_d6f73d8d0c38f55b54cb2e19b01de021.setContent(html_60d1ff9cecf113f53d845d0011c4c485);\n", " \n", "\n", - " circle_marker_c6cbab629584b6a82a36f7f4ff474715.bindPopup(popup_d6b3a29dfb1c673bda4569daac20aad0)\n", + " circle_marker_51565a664fad7210c98b124def6e4a4f.bindPopup(popup_d6f73d8d0c38f55b54cb2e19b01de021)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e47949adc8314d0d394d752e425b2f3f = L.circleMarker(\n", + " var circle_marker_f77aea62fb256bbf6b650e1760b41146 = L.circleMarker(\n", " [37.75435434305817, -122.42228960924437],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_dcb03cc7ff9253fccdce7ad6698ae940 = L.popup({"maxWidth": "100%"});\n", + " var popup_90feb03b6b0d53ff9209e7a6412cecca = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_33bad317028e0db3caab159d4d03462f = $(`<div id="html_33bad317028e0db3caab159d4d03462f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_dcb03cc7ff9253fccdce7ad6698ae940.setContent(html_33bad317028e0db3caab159d4d03462f);\n", + " var html_7aa97e01dc0c45760bb8af4b8765c868 = $(`<div id="html_7aa97e01dc0c45760bb8af4b8765c868" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_90feb03b6b0d53ff9209e7a6412cecca.setContent(html_7aa97e01dc0c45760bb8af4b8765c868);\n", " \n", "\n", - " circle_marker_e47949adc8314d0d394d752e425b2f3f.bindPopup(popup_dcb03cc7ff9253fccdce7ad6698ae940)\n", + " circle_marker_f77aea62fb256bbf6b650e1760b41146.bindPopup(popup_90feb03b6b0d53ff9209e7a6412cecca)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_78538bc7e86cd1a30f9f3f83b4fbbe39 = L.circleMarker(\n", + " var circle_marker_b521f02a1dff9e98227b761e9ec0ecfa = L.circleMarker(\n", " [37.746074199675945, -122.41535766353438],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9a810ecbd9e583138fe1e00ca46568d0 = L.popup({"maxWidth": "100%"});\n", + " var popup_f94cc40f9506bd35203902c5eb1fadcf = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_211a76884646c87375830144ad215df0 = $(`<div id="html_211a76884646c87375830144ad215df0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9a810ecbd9e583138fe1e00ca46568d0.setContent(html_211a76884646c87375830144ad215df0);\n", + " var html_5100a2c4a2fe682b1b0d16f45f6a326c = $(`<div id="html_5100a2c4a2fe682b1b0d16f45f6a326c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_f94cc40f9506bd35203902c5eb1fadcf.setContent(html_5100a2c4a2fe682b1b0d16f45f6a326c);\n", " \n", "\n", - " circle_marker_78538bc7e86cd1a30f9f3f83b4fbbe39.bindPopup(popup_9a810ecbd9e583138fe1e00ca46568d0)\n", + " circle_marker_b521f02a1dff9e98227b761e9ec0ecfa.bindPopup(popup_f94cc40f9506bd35203902c5eb1fadcf)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_09e3db679dbdb50603e8335067536fb5 = L.circleMarker(\n", + " var circle_marker_e5f96d33725396c3190ab782c7b27d52 = L.circleMarker(\n", " [37.741380940454206, -122.41440239836186],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_bde2613d092ef1ded67eba769fb5134b = L.popup({"maxWidth": "100%"});\n", + " var popup_b2ac81e5b759b8f62c617e6bb60bef97 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_121c0ad3f5f401fa44ba3cf35b3e3dd1 = $(`<div id="html_121c0ad3f5f401fa44ba3cf35b3e3dd1" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_bde2613d092ef1ded67eba769fb5134b.setContent(html_121c0ad3f5f401fa44ba3cf35b3e3dd1);\n", + " var html_ed58e3106e893bb6801504bb31483bf2 = $(`<div id="html_ed58e3106e893bb6801504bb31483bf2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b2ac81e5b759b8f62c617e6bb60bef97.setContent(html_ed58e3106e893bb6801504bb31483bf2);\n", " \n", "\n", - " circle_marker_09e3db679dbdb50603e8335067536fb5.bindPopup(popup_bde2613d092ef1ded67eba769fb5134b)\n", + " circle_marker_e5f96d33725396c3190ab782c7b27d52.bindPopup(popup_b2ac81e5b759b8f62c617e6bb60bef97)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8cb361ced7705f868a7614c6764fd524 = L.circleMarker(\n", + " var circle_marker_b11f7cce07eaf6eed2e8f1d9e6eebf9d = L.circleMarker(\n", " [37.74575801806093, -122.4105207768065],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_fb1df8dd5e3637897c862edeb4d44ac3 = L.popup({"maxWidth": "100%"});\n", + " var popup_3507d99ad5e1fa37e21e8478911e2221 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_c446ed69b8f2f927b5d6aa727f4dc54b = $(`<div id="html_c446ed69b8f2f927b5d6aa727f4dc54b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_fb1df8dd5e3637897c862edeb4d44ac3.setContent(html_c446ed69b8f2f927b5d6aa727f4dc54b);\n", + " var html_a71375380d530465ed4bd18e70c5e7ab = $(`<div id="html_a71375380d530465ed4bd18e70c5e7ab" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3507d99ad5e1fa37e21e8478911e2221.setContent(html_a71375380d530465ed4bd18e70c5e7ab);\n", " \n", "\n", - " circle_marker_8cb361ced7705f868a7614c6764fd524.bindPopup(popup_fb1df8dd5e3637897c862edeb4d44ac3)\n", + " circle_marker_b11f7cce07eaf6eed2e8f1d9e6eebf9d.bindPopup(popup_3507d99ad5e1fa37e21e8478911e2221)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_39290b0c234b30e40a69cd73d2c39f66 = L.circleMarker(\n", + " var circle_marker_d371f98660411ebab7bf232bcbd8fbd5 = L.circleMarker(\n", " [37.759929842009704, -122.41936389765623],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_7d0a78c47b4bf74f2037ce3d073f91d5 = L.popup({"maxWidth": "100%"});\n", + " var popup_dd2f81edb6b7f69a9c2461fcb08b61b4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2b1a20095d49fab5b3c69a2cef4a9d1f = $(`<div id="html_2b1a20095d49fab5b3c69a2cef4a9d1f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_7d0a78c47b4bf74f2037ce3d073f91d5.setContent(html_2b1a20095d49fab5b3c69a2cef4a9d1f);\n", + " var html_4fa42b8d8e4332ea8ad7933ad1c8fb10 = $(`<div id="html_4fa42b8d8e4332ea8ad7933ad1c8fb10" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_dd2f81edb6b7f69a9c2461fcb08b61b4.setContent(html_4fa42b8d8e4332ea8ad7933ad1c8fb10);\n", " \n", "\n", - " circle_marker_39290b0c234b30e40a69cd73d2c39f66.bindPopup(popup_7d0a78c47b4bf74f2037ce3d073f91d5)\n", + " circle_marker_d371f98660411ebab7bf232bcbd8fbd5.bindPopup(popup_dd2f81edb6b7f69a9c2461fcb08b61b4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_261cea6d47f461fcc24956a193da84b5 = L.circleMarker(\n", + " var circle_marker_ace71516fd5eee78132ce5bb511c3501 = L.circleMarker(\n", " [37.74348609136638, -122.42263298457125],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f6a0039bfb584387b7fa263ac720cc6f = L.popup({"maxWidth": "100%"});\n", + " var popup_16c522573984e516eda60d1d7988e52f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_4d491fe54ee8747c3d0502710570a162 = $(`<div id="html_4d491fe54ee8747c3d0502710570a162" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f6a0039bfb584387b7fa263ac720cc6f.setContent(html_4d491fe54ee8747c3d0502710570a162);\n", + " var html_a63ce952601678477c8f31ea234f7513 = $(`<div id="html_a63ce952601678477c8f31ea234f7513" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_16c522573984e516eda60d1d7988e52f.setContent(html_a63ce952601678477c8f31ea234f7513);\n", " \n", "\n", - " circle_marker_261cea6d47f461fcc24956a193da84b5.bindPopup(popup_f6a0039bfb584387b7fa263ac720cc6f)\n", + " circle_marker_ace71516fd5eee78132ce5bb511c3501.bindPopup(popup_16c522573984e516eda60d1d7988e52f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_61d5ec948e781eb2be4a42bb6df77c4a = L.circleMarker(\n", + " var circle_marker_37ca5f75ea70c062f82c10b65ffcca07 = L.circleMarker(\n", " [37.76530111041392, -122.40775071665323],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_7e3fcc38258cc13137f430c3333bc59d = L.popup({"maxWidth": "100%"});\n", + " var popup_4aa17ab82ab24515cb3072df2f0f9e0b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_3f67df9395bc0b20c460da411ee07ff3 = $(`<div id="html_3f67df9395bc0b20c460da411ee07ff3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_7e3fcc38258cc13137f430c3333bc59d.setContent(html_3f67df9395bc0b20c460da411ee07ff3);\n", + " var html_5ae0670623c0bc88fc605da3d5dfd23f = $(`<div id="html_5ae0670623c0bc88fc605da3d5dfd23f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_4aa17ab82ab24515cb3072df2f0f9e0b.setContent(html_5ae0670623c0bc88fc605da3d5dfd23f);\n", " \n", "\n", - " circle_marker_61d5ec948e781eb2be4a42bb6df77c4a.bindPopup(popup_7e3fcc38258cc13137f430c3333bc59d)\n", + " circle_marker_37ca5f75ea70c062f82c10b65ffcca07.bindPopup(popup_4aa17ab82ab24515cb3072df2f0f9e0b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_76471a59e40776603d57ba71b57c4101 = L.circleMarker(\n", + " var circle_marker_1245b6df12535d183b55a5f694f8bdd9 = L.circleMarker(\n", " [37.7351770739924, -122.42220382143077],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_ddc3313a85e731f8d6cad5cf59815bed = L.popup({"maxWidth": "100%"});\n", + " var popup_0e7b550dc6b5ce9cb96e9eaa46c83ca6 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e459aa3cac5915bf042368fab419cecb = $(`<div id="html_e459aa3cac5915bf042368fab419cecb" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_ddc3313a85e731f8d6cad5cf59815bed.setContent(html_e459aa3cac5915bf042368fab419cecb);\n", + " var html_5ffd163f56911d9f943a4f0ff14e3202 = $(`<div id="html_5ffd163f56911d9f943a4f0ff14e3202" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_0e7b550dc6b5ce9cb96e9eaa46c83ca6.setContent(html_5ffd163f56911d9f943a4f0ff14e3202);\n", " \n", "\n", - " circle_marker_76471a59e40776603d57ba71b57c4101.bindPopup(popup_ddc3313a85e731f8d6cad5cf59815bed)\n", + " circle_marker_1245b6df12535d183b55a5f694f8bdd9.bindPopup(popup_0e7b550dc6b5ce9cb96e9eaa46c83ca6)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b0c875a7916c27e6850aba1fa8b556bf = L.circleMarker(\n", + " var circle_marker_223ea77b5d6534a0a71e126e4504b54d = L.circleMarker(\n", " [37.761747153832005, -122.4099039982627],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_796c4918735379774dcd422af6fe28fc = L.popup({"maxWidth": "100%"});\n", + " var popup_ed55f87a4f84eb7887e550d21e211986 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_02edb6896badd7874b3074f70731c248 = $(`<div id="html_02edb6896badd7874b3074f70731c248" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_796c4918735379774dcd422af6fe28fc.setContent(html_02edb6896badd7874b3074f70731c248);\n", + " var html_1b8c35958e284dcbcca1ba878d7f0c70 = $(`<div id="html_1b8c35958e284dcbcca1ba878d7f0c70" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ed55f87a4f84eb7887e550d21e211986.setContent(html_1b8c35958e284dcbcca1ba878d7f0c70);\n", " \n", "\n", - " circle_marker_b0c875a7916c27e6850aba1fa8b556bf.bindPopup(popup_796c4918735379774dcd422af6fe28fc)\n", + " circle_marker_223ea77b5d6534a0a71e126e4504b54d.bindPopup(popup_ed55f87a4f84eb7887e550d21e211986)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a037afdf88bf169431d7e821f46e2a65 = L.circleMarker(\n", + " var circle_marker_f6eb4d6707537d0463812fa07034303c = L.circleMarker(\n", " [37.744531940576856, -122.42161560269948],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_73d601b2b50f6e391e3233349d464ee4 = L.popup({"maxWidth": "100%"});\n", + " var popup_1766c99052a1677edcfa9093563e5d79 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ce93ffaa66e7d0d6869bbed76f84dd47 = $(`<div id="html_ce93ffaa66e7d0d6869bbed76f84dd47" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_73d601b2b50f6e391e3233349d464ee4.setContent(html_ce93ffaa66e7d0d6869bbed76f84dd47);\n", + " var html_a7954dd0ee839de6bea98b87eaa74493 = $(`<div id="html_a7954dd0ee839de6bea98b87eaa74493" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1766c99052a1677edcfa9093563e5d79.setContent(html_a7954dd0ee839de6bea98b87eaa74493);\n", " \n", "\n", - " circle_marker_a037afdf88bf169431d7e821f46e2a65.bindPopup(popup_73d601b2b50f6e391e3233349d464ee4)\n", + " circle_marker_f6eb4d6707537d0463812fa07034303c.bindPopup(popup_1766c99052a1677edcfa9093563e5d79)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7cee36844b02198d91a8c8ee624c32fa = L.circleMarker(\n", + " var circle_marker_7591ea8bd60f093e3567f0644ca822a5 = L.circleMarker(\n", " [37.75719450024423, -122.41901248673905],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_8d8d6dfaee6b69acc3ec065e81fbaaaa = L.popup({"maxWidth": "100%"});\n", + " var popup_3abcb432a6210b650b8bc5cc0e609cd6 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d1dd91182778822023bf527de9430b6e = $(`<div id="html_d1dd91182778822023bf527de9430b6e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_8d8d6dfaee6b69acc3ec065e81fbaaaa.setContent(html_d1dd91182778822023bf527de9430b6e);\n", + " var html_a5ffe77bcf84732a3329e9e0baa7ac96 = $(`<div id="html_a5ffe77bcf84732a3329e9e0baa7ac96" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3abcb432a6210b650b8bc5cc0e609cd6.setContent(html_a5ffe77bcf84732a3329e9e0baa7ac96);\n", " \n", "\n", - " circle_marker_7cee36844b02198d91a8c8ee624c32fa.bindPopup(popup_8d8d6dfaee6b69acc3ec065e81fbaaaa)\n", + " circle_marker_7591ea8bd60f093e3567f0644ca822a5.bindPopup(popup_3abcb432a6210b650b8bc5cc0e609cd6)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ab4a159238b1bac594c36e6bba84b2ea = L.circleMarker(\n", + " var circle_marker_33e6e43deea6f27e0b60062facabe566 = L.circleMarker(\n", " [37.73743562493618, -122.42250059810968],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_905e759cf81cc9bdb647b8602345be4f = L.popup({"maxWidth": "100%"});\n", + " var popup_3646d3844fb2de504c969ef08e5e5a25 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e0dd605a72a15e97f4b8bce43665ec89 = $(`<div id="html_e0dd605a72a15e97f4b8bce43665ec89" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_905e759cf81cc9bdb647b8602345be4f.setContent(html_e0dd605a72a15e97f4b8bce43665ec89);\n", + " var html_4cd24c13de23c9b809905a76c38fe787 = $(`<div id="html_4cd24c13de23c9b809905a76c38fe787" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3646d3844fb2de504c969ef08e5e5a25.setContent(html_4cd24c13de23c9b809905a76c38fe787);\n", " \n", "\n", - " circle_marker_ab4a159238b1bac594c36e6bba84b2ea.bindPopup(popup_905e759cf81cc9bdb647b8602345be4f)\n", + " circle_marker_33e6e43deea6f27e0b60062facabe566.bindPopup(popup_3646d3844fb2de504c969ef08e5e5a25)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_43e978e30466ab3bf9523e97b312be65 = L.circleMarker(\n", + " var circle_marker_430dfee8ca7a5e67fe69ad9b84eb1c05 = L.circleMarker(\n", " [37.74197743401586, -122.41709590262614],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_a281833463dfc15e1f242a198c77e67f = L.popup({"maxWidth": "100%"});\n", + " var popup_fce3dd428169c2d09b9432f114b07d51 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_82ef9628ac708472038a726fb71cbaf7 = $(`<div id="html_82ef9628ac708472038a726fb71cbaf7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_a281833463dfc15e1f242a198c77e67f.setContent(html_82ef9628ac708472038a726fb71cbaf7);\n", + " var html_1187f4c8ccd7877d789068f0a8f18fff = $(`<div id="html_1187f4c8ccd7877d789068f0a8f18fff" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_fce3dd428169c2d09b9432f114b07d51.setContent(html_1187f4c8ccd7877d789068f0a8f18fff);\n", " \n", "\n", - " circle_marker_43e978e30466ab3bf9523e97b312be65.bindPopup(popup_a281833463dfc15e1f242a198c77e67f)\n", + " circle_marker_430dfee8ca7a5e67fe69ad9b84eb1c05.bindPopup(popup_fce3dd428169c2d09b9432f114b07d51)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_3b0d2aa1ff3c762347c73e22b71b81f6 = L.circleMarker(\n", + " var circle_marker_2d87a06337302a509dbcdeb56dea8f04 = L.circleMarker(\n", " [37.73969218205738, -122.40713168279156],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6c0eab08995e9486f8e2031a84345073 = L.popup({"maxWidth": "100%"});\n", + " var popup_70bfcc0b14b9a3f0a9e3b3c12610b193 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_af0c97d64e8bd6923523cdaeae6733f0 = $(`<div id="html_af0c97d64e8bd6923523cdaeae6733f0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6c0eab08995e9486f8e2031a84345073.setContent(html_af0c97d64e8bd6923523cdaeae6733f0);\n", + " var html_be708c09d3e4e3ee7ffa033cd68ef53e = $(`<div id="html_be708c09d3e4e3ee7ffa033cd68ef53e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_70bfcc0b14b9a3f0a9e3b3c12610b193.setContent(html_be708c09d3e4e3ee7ffa033cd68ef53e);\n", " \n", "\n", - " circle_marker_3b0d2aa1ff3c762347c73e22b71b81f6.bindPopup(popup_6c0eab08995e9486f8e2031a84345073)\n", + " circle_marker_2d87a06337302a509dbcdeb56dea8f04.bindPopup(popup_70bfcc0b14b9a3f0a9e3b3c12610b193)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_29047697930bd5ec7ffc06eb8a184288 = L.circleMarker(\n", + " var circle_marker_99b4758386339cffc9e8129d1e7b3f55 = L.circleMarker(\n", " [37.763831603122455, -122.41573893502441],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_b4c6c9ea5963b4e987312c1c14013d69 = L.popup({"maxWidth": "100%"});\n", + " var popup_6a27f8958c7a21fdfae97f6174df5312 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_48f99b42bd948c43c6a283214ebfc488 = $(`<div id="html_48f99b42bd948c43c6a283214ebfc488" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_b4c6c9ea5963b4e987312c1c14013d69.setContent(html_48f99b42bd948c43c6a283214ebfc488);\n", + " var html_4b02f9e989018e013a910c3c385b69fd = $(`<div id="html_4b02f9e989018e013a910c3c385b69fd" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_6a27f8958c7a21fdfae97f6174df5312.setContent(html_4b02f9e989018e013a910c3c385b69fd);\n", " \n", "\n", - " circle_marker_29047697930bd5ec7ffc06eb8a184288.bindPopup(popup_b4c6c9ea5963b4e987312c1c14013d69)\n", + " circle_marker_99b4758386339cffc9e8129d1e7b3f55.bindPopup(popup_6a27f8958c7a21fdfae97f6174df5312)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d669e98d268cda4f4bac9353599d543f = L.circleMarker(\n", + " var circle_marker_82f3b4dbe046dacdf0899406e69d4f70 = L.circleMarker(\n", " [37.761252927558274, -122.41237555483644],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c3fa1b538d07bbaac254d183fe50b995 = L.popup({"maxWidth": "100%"});\n", + " var popup_a50019239656bc6b4dffb4ef748bd467 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_025b5a24a70b16ff844d8ad8a87f0022 = $(`<div id="html_025b5a24a70b16ff844d8ad8a87f0022" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c3fa1b538d07bbaac254d183fe50b995.setContent(html_025b5a24a70b16ff844d8ad8a87f0022);\n", + " var html_fd9b29e5585af320897bd8b066fb1745 = $(`<div id="html_fd9b29e5585af320897bd8b066fb1745" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a50019239656bc6b4dffb4ef748bd467.setContent(html_fd9b29e5585af320897bd8b066fb1745);\n", " \n", "\n", - " circle_marker_d669e98d268cda4f4bac9353599d543f.bindPopup(popup_c3fa1b538d07bbaac254d183fe50b995)\n", + " circle_marker_82f3b4dbe046dacdf0899406e69d4f70.bindPopup(popup_a50019239656bc6b4dffb4ef748bd467)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ad1ffccf73b326e089724e9824f9a0b1 = L.circleMarker(\n", + " var circle_marker_0850ac60074c4395e590ceb22d7cb924 = L.circleMarker(\n", " [37.75726219498988, -122.40455000117886],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4d99e936aeab82cfb52522b7bf601d31 = L.popup({"maxWidth": "100%"});\n", + " var popup_436cac94c99283b2a0b912eccb64fbec = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2728435bd4a364c0887bed9b475ac5a4 = $(`<div id="html_2728435bd4a364c0887bed9b475ac5a4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4d99e936aeab82cfb52522b7bf601d31.setContent(html_2728435bd4a364c0887bed9b475ac5a4);\n", + " var html_f55fdc1d9f5558516419ae3cc31a1620 = $(`<div id="html_f55fdc1d9f5558516419ae3cc31a1620" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_436cac94c99283b2a0b912eccb64fbec.setContent(html_f55fdc1d9f5558516419ae3cc31a1620);\n", " \n", "\n", - " circle_marker_ad1ffccf73b326e089724e9824f9a0b1.bindPopup(popup_4d99e936aeab82cfb52522b7bf601d31)\n", + " circle_marker_0850ac60074c4395e590ceb22d7cb924.bindPopup(popup_436cac94c99283b2a0b912eccb64fbec)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0ed4d3969f42f172dabb016086d4bba3 = L.circleMarker(\n", + " var circle_marker_2bec07a8df5cacee945eb8ff0c3e2c03 = L.circleMarker(\n", " [37.76470088472506, -122.41069965976091],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_febb29d2fdb887378ac4f1d79cd8218e = L.popup({"maxWidth": "100%"});\n", + " var popup_a45753d15ebea794e6569b5b3c2b100a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d26a9ba93ec58379c4dfc7f83d7cdbf9 = $(`<div id="html_d26a9ba93ec58379c4dfc7f83d7cdbf9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_febb29d2fdb887378ac4f1d79cd8218e.setContent(html_d26a9ba93ec58379c4dfc7f83d7cdbf9);\n", + " var html_99712c0aa61bd49d68cb665e70b57a46 = $(`<div id="html_99712c0aa61bd49d68cb665e70b57a46" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a45753d15ebea794e6569b5b3c2b100a.setContent(html_99712c0aa61bd49d68cb665e70b57a46);\n", " \n", "\n", - " circle_marker_0ed4d3969f42f172dabb016086d4bba3.bindPopup(popup_febb29d2fdb887378ac4f1d79cd8218e)\n", + " circle_marker_2bec07a8df5cacee945eb8ff0c3e2c03.bindPopup(popup_a45753d15ebea794e6569b5b3c2b100a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2f4efe9ad02a479a15dbcb861fbc8c46 = L.circleMarker(\n", + " var circle_marker_c3eba0b1c864041756fe57d4639e2149 = L.circleMarker(\n", " [37.752239826552106, -122.42522276992155],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_fe7457d4a5577daca27a3ba8b567f01c = L.popup({"maxWidth": "100%"});\n", + " var popup_b903b99c17902a6fa44c7711f7d1335e = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_fde244feb3a3ec8060bdae3ae6f623ef = $(`<div id="html_fde244feb3a3ec8060bdae3ae6f623ef" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_fe7457d4a5577daca27a3ba8b567f01c.setContent(html_fde244feb3a3ec8060bdae3ae6f623ef);\n", + " var html_45247b5982c31d56c742c972f62758ff = $(`<div id="html_45247b5982c31d56c742c972f62758ff" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b903b99c17902a6fa44c7711f7d1335e.setContent(html_45247b5982c31d56c742c972f62758ff);\n", " \n", "\n", - " circle_marker_2f4efe9ad02a479a15dbcb861fbc8c46.bindPopup(popup_fe7457d4a5577daca27a3ba8b567f01c)\n", + " circle_marker_c3eba0b1c864041756fe57d4639e2149.bindPopup(popup_b903b99c17902a6fa44c7711f7d1335e)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4dcdbf82cafd82552aa77d101e44695e = L.circleMarker(\n", + " var circle_marker_2fdce50c1bd8a7eec804f8c50fd65c0b = L.circleMarker(\n", " [37.7622151757651, -122.41879495724017],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_191af73a951f60c8673b7c902c6f7c85 = L.popup({"maxWidth": "100%"});\n", + " var popup_ee1cb6b769bde4df4451c262c5998394 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_76ac93b45a0f2420646f2b3c5e6ad3cf = $(`<div id="html_76ac93b45a0f2420646f2b3c5e6ad3cf" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_191af73a951f60c8673b7c902c6f7c85.setContent(html_76ac93b45a0f2420646f2b3c5e6ad3cf);\n", + " var html_32fe9f817dd0d065b0bf5d98e08447d8 = $(`<div id="html_32fe9f817dd0d065b0bf5d98e08447d8" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ee1cb6b769bde4df4451c262c5998394.setContent(html_32fe9f817dd0d065b0bf5d98e08447d8);\n", " \n", "\n", - " circle_marker_4dcdbf82cafd82552aa77d101e44695e.bindPopup(popup_191af73a951f60c8673b7c902c6f7c85)\n", + " circle_marker_2fdce50c1bd8a7eec804f8c50fd65c0b.bindPopup(popup_ee1cb6b769bde4df4451c262c5998394)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c7f427a471b169ad8f4ca571cd2acbde = L.circleMarker(\n", + " var circle_marker_2759609cd16f341245afa180c4be4dbe = L.circleMarker(\n", " [37.750279714112374, -122.40384503936752],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_1d0b54ce9b0597fc789c12be661741be = L.popup({"maxWidth": "100%"});\n", + " var popup_c71103beb571e1108fdae99600bed135 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ef6e87d980f2b7bb3558ed254c969424 = $(`<div id="html_ef6e87d980f2b7bb3558ed254c969424" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_1d0b54ce9b0597fc789c12be661741be.setContent(html_ef6e87d980f2b7bb3558ed254c969424);\n", + " var html_860decd12534b5d40582dc47bcc96937 = $(`<div id="html_860decd12534b5d40582dc47bcc96937" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_c71103beb571e1108fdae99600bed135.setContent(html_860decd12534b5d40582dc47bcc96937);\n", " \n", "\n", - " circle_marker_c7f427a471b169ad8f4ca571cd2acbde.bindPopup(popup_1d0b54ce9b0597fc789c12be661741be)\n", + " circle_marker_2759609cd16f341245afa180c4be4dbe.bindPopup(popup_c71103beb571e1108fdae99600bed135)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_5703c5bc942c0ab1dab8841207d45130 = L.circleMarker(\n", + " var circle_marker_d295d82b4e85afcca348605469f56c9a = L.circleMarker(\n", " [37.75183270738175, -122.42155460884847],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4aa4100b52b3e283b89a4a66ce0da295 = L.popup({"maxWidth": "100%"});\n", + " var popup_b99aa1ffc83970b20dde83e45c56bb94 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_8e1bb16eb05e5cb500d0c34bab917925 = $(`<div id="html_8e1bb16eb05e5cb500d0c34bab917925" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4aa4100b52b3e283b89a4a66ce0da295.setContent(html_8e1bb16eb05e5cb500d0c34bab917925);\n", + " var html_a5569237626d165c36cbca7db6c9f9b2 = $(`<div id="html_a5569237626d165c36cbca7db6c9f9b2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b99aa1ffc83970b20dde83e45c56bb94.setContent(html_a5569237626d165c36cbca7db6c9f9b2);\n", " \n", "\n", - " circle_marker_5703c5bc942c0ab1dab8841207d45130.bindPopup(popup_4aa4100b52b3e283b89a4a66ce0da295)\n", + " circle_marker_d295d82b4e85afcca348605469f56c9a.bindPopup(popup_b99aa1ffc83970b20dde83e45c56bb94)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_40295acaf5fa2e7e39a4a5775ef22d38 = L.circleMarker(\n", + " var circle_marker_30582d8ba07af14df6f727470ad66fbc = L.circleMarker(\n", " [37.74547980362818, -122.40566037184043],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_333f58252931bc71212b6cb94a488572 = L.popup({"maxWidth": "100%"});\n", + " var popup_518ddc53f3db30744be3a47c024d576d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_62d0834e59cc4d0983757f51703cecde = $(`<div id="html_62d0834e59cc4d0983757f51703cecde" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_333f58252931bc71212b6cb94a488572.setContent(html_62d0834e59cc4d0983757f51703cecde);\n", + " var html_14e2ccb7a2ea0ad2d4009b30a372aa1c = $(`<div id="html_14e2ccb7a2ea0ad2d4009b30a372aa1c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_518ddc53f3db30744be3a47c024d576d.setContent(html_14e2ccb7a2ea0ad2d4009b30a372aa1c);\n", " \n", "\n", - " circle_marker_40295acaf5fa2e7e39a4a5775ef22d38.bindPopup(popup_333f58252931bc71212b6cb94a488572)\n", + " circle_marker_30582d8ba07af14df6f727470ad66fbc.bindPopup(popup_518ddc53f3db30744be3a47c024d576d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1adba43797ac6750e9b9ba479c3f6fc1 = L.circleMarker(\n", + " var circle_marker_62832dece5cf429d9b1e8928046c6be2 = L.circleMarker(\n", " [37.74085356398497, -122.41446908756086],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6e8f65a630844ea539c10d35d65d783f = L.popup({"maxWidth": "100%"});\n", + " var popup_9c9ff31216ff40372e2f409a78799b98 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a9c05ba254bd273a1cfe3013bda56f36 = $(`<div id="html_a9c05ba254bd273a1cfe3013bda56f36" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6e8f65a630844ea539c10d35d65d783f.setContent(html_a9c05ba254bd273a1cfe3013bda56f36);\n", + " var html_9f446ba22cc31f7233bb6b4789e8225f = $(`<div id="html_9f446ba22cc31f7233bb6b4789e8225f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9c9ff31216ff40372e2f409a78799b98.setContent(html_9f446ba22cc31f7233bb6b4789e8225f);\n", " \n", "\n", - " circle_marker_1adba43797ac6750e9b9ba479c3f6fc1.bindPopup(popup_6e8f65a630844ea539c10d35d65d783f)\n", + " circle_marker_62832dece5cf429d9b1e8928046c6be2.bindPopup(popup_9c9ff31216ff40372e2f409a78799b98)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8ede70c5e3da623f8f092b3e2f880a0a = L.circleMarker(\n", + " var circle_marker_6743d2ba5a10a01cc1b51132e55119d6 = L.circleMarker(\n", " [37.745307885159676, -122.41693866931666],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_47908b96ee9bbf77d550bb5249d58a48 = L.popup({"maxWidth": "100%"});\n", + " var popup_38582f8d61b485204c3188a65351b42f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f1aac3eeb7f94e42da4c7ea660506950 = $(`<div id="html_f1aac3eeb7f94e42da4c7ea660506950" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_47908b96ee9bbf77d550bb5249d58a48.setContent(html_f1aac3eeb7f94e42da4c7ea660506950);\n", + " var html_4523e0d16d6f3afb88f7fb7121d1246f = $(`<div id="html_4523e0d16d6f3afb88f7fb7121d1246f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_38582f8d61b485204c3188a65351b42f.setContent(html_4523e0d16d6f3afb88f7fb7121d1246f);\n", " \n", "\n", - " circle_marker_8ede70c5e3da623f8f092b3e2f880a0a.bindPopup(popup_47908b96ee9bbf77d550bb5249d58a48)\n", + " circle_marker_6743d2ba5a10a01cc1b51132e55119d6.bindPopup(popup_38582f8d61b485204c3188a65351b42f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_88d259c6cf5a9c6a2c3fa1386054a2e4 = L.circleMarker(\n", + " var circle_marker_f5e5dc6d96f8fa591a9e1a3842f964e1 = L.circleMarker(\n", " [37.74887491191325, -122.42222954548635],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4232495d3365a58c20db17186334248a = L.popup({"maxWidth": "100%"});\n", + " var popup_a307e07583b09175c3643ca2e8a9b78a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f0413e3335955014222e724a2bf9106f = $(`<div id="html_f0413e3335955014222e724a2bf9106f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4232495d3365a58c20db17186334248a.setContent(html_f0413e3335955014222e724a2bf9106f);\n", + " var html_bffe38f2d7b9f82250f61120e4b58826 = $(`<div id="html_bffe38f2d7b9f82250f61120e4b58826" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a307e07583b09175c3643ca2e8a9b78a.setContent(html_bffe38f2d7b9f82250f61120e4b58826);\n", " \n", "\n", - " circle_marker_88d259c6cf5a9c6a2c3fa1386054a2e4.bindPopup(popup_4232495d3365a58c20db17186334248a)\n", + " circle_marker_f5e5dc6d96f8fa591a9e1a3842f964e1.bindPopup(popup_a307e07583b09175c3643ca2e8a9b78a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8f6c31e7133aeb9a2570d121ca1daede = L.circleMarker(\n", + " var circle_marker_ecbd4889752441b63e6831ee0b935f4b = L.circleMarker(\n", " [37.74432569801819, -122.42064590761126],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_70980a4d4949b2d365b09e9fe3511c58 = L.popup({"maxWidth": "100%"});\n", + " var popup_00e77d434f73fb9d4c3bbe3c5b66a52b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_797606129a992ef78e03bf469ad0322d = $(`<div id="html_797606129a992ef78e03bf469ad0322d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_70980a4d4949b2d365b09e9fe3511c58.setContent(html_797606129a992ef78e03bf469ad0322d);\n", + " var html_9b149b82063e4d1668bef6880e6de893 = $(`<div id="html_9b149b82063e4d1668bef6880e6de893" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_00e77d434f73fb9d4c3bbe3c5b66a52b.setContent(html_9b149b82063e4d1668bef6880e6de893);\n", " \n", "\n", - " circle_marker_8f6c31e7133aeb9a2570d121ca1daede.bindPopup(popup_70980a4d4949b2d365b09e9fe3511c58)\n", + " circle_marker_ecbd4889752441b63e6831ee0b935f4b.bindPopup(popup_00e77d434f73fb9d4c3bbe3c5b66a52b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ea2c6c16a53fba541680ad197575f59e = L.circleMarker(\n", + " var circle_marker_2ed48e98855780096b7d2f927571c7b4 = L.circleMarker(\n", " [37.75725637834527, -122.41516185537776],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_e747057a4714c19624b866bb940af33f = L.popup({"maxWidth": "100%"});\n", + " var popup_e3a211450082ac46bb83482cecfbbf55 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ad31a7de692169f0cc96d930609d88a0 = $(`<div id="html_ad31a7de692169f0cc96d930609d88a0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_e747057a4714c19624b866bb940af33f.setContent(html_ad31a7de692169f0cc96d930609d88a0);\n", + " var html_8362e3cb28521fdfe65555e311ff87db = $(`<div id="html_8362e3cb28521fdfe65555e311ff87db" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_e3a211450082ac46bb83482cecfbbf55.setContent(html_8362e3cb28521fdfe65555e311ff87db);\n", " \n", "\n", - " circle_marker_ea2c6c16a53fba541680ad197575f59e.bindPopup(popup_e747057a4714c19624b866bb940af33f)\n", + " circle_marker_2ed48e98855780096b7d2f927571c7b4.bindPopup(popup_e3a211450082ac46bb83482cecfbbf55)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_3ea0beadb7047dfb4d8c18d41b22f02e = L.circleMarker(\n", + " var circle_marker_da1a71bd70d8fe82887ef70a4a8e3520 = L.circleMarker(\n", " [37.76320058943922, -122.42005488320424],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_04b3b26a2438ae2cb0e2776ea8c52b0a = L.popup({"maxWidth": "100%"});\n", + " var popup_c9fcc70ea0e2a6cd6cd9d7b1b16040b8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_457ce16269049e185502928814f65f63 = $(`<div id="html_457ce16269049e185502928814f65f63" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_04b3b26a2438ae2cb0e2776ea8c52b0a.setContent(html_457ce16269049e185502928814f65f63);\n", + " var html_c06eafa41cf4e1ecd3488cecbf4a5af8 = $(`<div id="html_c06eafa41cf4e1ecd3488cecbf4a5af8" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_c9fcc70ea0e2a6cd6cd9d7b1b16040b8.setContent(html_c06eafa41cf4e1ecd3488cecbf4a5af8);\n", " \n", "\n", - " circle_marker_3ea0beadb7047dfb4d8c18d41b22f02e.bindPopup(popup_04b3b26a2438ae2cb0e2776ea8c52b0a)\n", + " circle_marker_da1a71bd70d8fe82887ef70a4a8e3520.bindPopup(popup_c9fcc70ea0e2a6cd6cd9d7b1b16040b8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2f1f1269915546ee2a36726cf5ad19ba = L.circleMarker(\n", + " var circle_marker_0731aa87ea748eaa4ea78df5df858613 = L.circleMarker(\n", " [37.74682924903755, -122.42209591165009],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_fc65989714a32f0edcdd7eec9d061512 = L.popup({"maxWidth": "100%"});\n", + " var popup_576cfb54ed2dcb2e228183065a178a7a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_16b8492d8ef939a8360284e7f6bed122 = $(`<div id="html_16b8492d8ef939a8360284e7f6bed122" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_fc65989714a32f0edcdd7eec9d061512.setContent(html_16b8492d8ef939a8360284e7f6bed122);\n", + " var html_22dbc6cbfaf668ca7cf63c1f96286607 = $(`<div id="html_22dbc6cbfaf668ca7cf63c1f96286607" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_576cfb54ed2dcb2e228183065a178a7a.setContent(html_22dbc6cbfaf668ca7cf63c1f96286607);\n", " \n", "\n", - " circle_marker_2f1f1269915546ee2a36726cf5ad19ba.bindPopup(popup_fc65989714a32f0edcdd7eec9d061512)\n", + " circle_marker_0731aa87ea748eaa4ea78df5df858613.bindPopup(popup_576cfb54ed2dcb2e228183065a178a7a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_37255bc657ce0b7a37bad813a38e772d = L.circleMarker(\n", + " var circle_marker_43227b357012b42bfee1040c7b33212c = L.circleMarker(\n", " [37.754856259950174, -122.40966406763532],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c69db7b1571b5f62d5c064bb057fa8c0 = L.popup({"maxWidth": "100%"});\n", + " var popup_7788de6299aed14ff65cb602d680d6c4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_91018e3c3142ab1a485d1f8c6e7a4fb2 = $(`<div id="html_91018e3c3142ab1a485d1f8c6e7a4fb2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c69db7b1571b5f62d5c064bb057fa8c0.setContent(html_91018e3c3142ab1a485d1f8c6e7a4fb2);\n", + " var html_853046fb5ae07429a6e479556af46f8a = $(`<div id="html_853046fb5ae07429a6e479556af46f8a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_7788de6299aed14ff65cb602d680d6c4.setContent(html_853046fb5ae07429a6e479556af46f8a);\n", " \n", "\n", - " circle_marker_37255bc657ce0b7a37bad813a38e772d.bindPopup(popup_c69db7b1571b5f62d5c064bb057fa8c0)\n", + " circle_marker_43227b357012b42bfee1040c7b33212c.bindPopup(popup_7788de6299aed14ff65cb602d680d6c4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b95d02fe5520097a79a2255611b524ba = L.circleMarker(\n", + " var circle_marker_502f325eab86b78124ecd4e89800b8cd = L.circleMarker(\n", " [37.75588417673643, -122.41267234354358],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_ca0719fb116bb631d9fabee68594346d = L.popup({"maxWidth": "100%"});\n", + " var popup_fbcbe211239380c7034e2da6d20c4d36 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d0a308f19d4e3ba1c596e5f43c07b19b = $(`<div id="html_d0a308f19d4e3ba1c596e5f43c07b19b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_ca0719fb116bb631d9fabee68594346d.setContent(html_d0a308f19d4e3ba1c596e5f43c07b19b);\n", + " var html_42988ce74b1ac4be8d7df924f31e608e = $(`<div id="html_42988ce74b1ac4be8d7df924f31e608e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_fbcbe211239380c7034e2da6d20c4d36.setContent(html_42988ce74b1ac4be8d7df924f31e608e);\n", " \n", "\n", - " circle_marker_b95d02fe5520097a79a2255611b524ba.bindPopup(popup_ca0719fb116bb631d9fabee68594346d)\n", + " circle_marker_502f325eab86b78124ecd4e89800b8cd.bindPopup(popup_fbcbe211239380c7034e2da6d20c4d36)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_fd287c08b755747a30bb6f2ab99b89d9 = L.circleMarker(\n", + " var circle_marker_cb77ba629205bf232cbe0612090a3f44 = L.circleMarker(\n", " [37.743252477037885, -122.42334097025606],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_1a2072077861b1a3f0a1148aed9f775f = L.popup({"maxWidth": "100%"});\n", + " var popup_ba13a04784527213becca6984495e66d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ac92a83e094e65c7ff2db8789f70fb65 = $(`<div id="html_ac92a83e094e65c7ff2db8789f70fb65" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_1a2072077861b1a3f0a1148aed9f775f.setContent(html_ac92a83e094e65c7ff2db8789f70fb65);\n", + " var html_2d4c56ba384ede3d8ba9d086a2d4ec8b = $(`<div id="html_2d4c56ba384ede3d8ba9d086a2d4ec8b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ba13a04784527213becca6984495e66d.setContent(html_2d4c56ba384ede3d8ba9d086a2d4ec8b);\n", " \n", "\n", - " circle_marker_fd287c08b755747a30bb6f2ab99b89d9.bindPopup(popup_1a2072077861b1a3f0a1148aed9f775f)\n", + " circle_marker_cb77ba629205bf232cbe0612090a3f44.bindPopup(popup_ba13a04784527213becca6984495e66d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ef31319b9bc07f05b5479c03fbf1c8ac = L.circleMarker(\n", + " var circle_marker_aac99ee5e2bc9c31884ad67e98ce54d9 = L.circleMarker(\n", " [37.761662032164296, -122.41129594712292],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_37365bbb1d0d0271bb69935fdb66d7fd = L.popup({"maxWidth": "100%"});\n", + " var popup_9dd5fde4552a5a8612cea96c183b3fa6 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_34cbf8d572532b7698b71d7c4b13bb9f = $(`<div id="html_34cbf8d572532b7698b71d7c4b13bb9f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_37365bbb1d0d0271bb69935fdb66d7fd.setContent(html_34cbf8d572532b7698b71d7c4b13bb9f);\n", + " var html_4c8dca793e334c3ff94601732b71297f = $(`<div id="html_4c8dca793e334c3ff94601732b71297f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9dd5fde4552a5a8612cea96c183b3fa6.setContent(html_4c8dca793e334c3ff94601732b71297f);\n", " \n", "\n", - " circle_marker_ef31319b9bc07f05b5479c03fbf1c8ac.bindPopup(popup_37365bbb1d0d0271bb69935fdb66d7fd)\n", + " circle_marker_aac99ee5e2bc9c31884ad67e98ce54d9.bindPopup(popup_9dd5fde4552a5a8612cea96c183b3fa6)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_23f8dec71d360dabb028c72329076961 = L.circleMarker(\n", + " var circle_marker_54ba5901229f9a7885eeb0768ca56584 = L.circleMarker(\n", " [37.741231897645584, -122.41468376365637],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_28cba9dce0081926046aaf74384b6865 = L.popup({"maxWidth": "100%"});\n", + " var popup_4f4cf84709d2413d647a796541342b6b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_372c2d4abbb85c93ecd2268ae6b9aabe = $(`<div id="html_372c2d4abbb85c93ecd2268ae6b9aabe" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_28cba9dce0081926046aaf74384b6865.setContent(html_372c2d4abbb85c93ecd2268ae6b9aabe);\n", + " var html_d64615689dab34808e9ba9df6322823c = $(`<div id="html_d64615689dab34808e9ba9df6322823c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_4f4cf84709d2413d647a796541342b6b.setContent(html_d64615689dab34808e9ba9df6322823c);\n", " \n", "\n", - " circle_marker_23f8dec71d360dabb028c72329076961.bindPopup(popup_28cba9dce0081926046aaf74384b6865)\n", + " circle_marker_54ba5901229f9a7885eeb0768ca56584.bindPopup(popup_4f4cf84709d2413d647a796541342b6b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_edc2addf31e6bd339d82c89dd537e0bf = L.circleMarker(\n", + " var circle_marker_cbaa3d3d4356d8e0308d313a33d8e551 = L.circleMarker(\n", " [37.7631304733426, -122.41501959094464],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_139d99c00d50e18b5ddcc1e953afc0f7 = L.popup({"maxWidth": "100%"});\n", + " var popup_3b18d405d320e88250fe2256977d4fa4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_1d23cc7dfff497658d60b4b982e502c5 = $(`<div id="html_1d23cc7dfff497658d60b4b982e502c5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_139d99c00d50e18b5ddcc1e953afc0f7.setContent(html_1d23cc7dfff497658d60b4b982e502c5);\n", + " var html_075413586841cb1195a1be73a8e1d936 = $(`<div id="html_075413586841cb1195a1be73a8e1d936" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3b18d405d320e88250fe2256977d4fa4.setContent(html_075413586841cb1195a1be73a8e1d936);\n", " \n", "\n", - " circle_marker_edc2addf31e6bd339d82c89dd537e0bf.bindPopup(popup_139d99c00d50e18b5ddcc1e953afc0f7)\n", + " circle_marker_cbaa3d3d4356d8e0308d313a33d8e551.bindPopup(popup_3b18d405d320e88250fe2256977d4fa4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_884e35935bb513eabdbb484f9ab51473 = L.circleMarker(\n", + " var circle_marker_a79e910254fef4d562d25dfa1bbc20fe = L.circleMarker(\n", " [37.74110751909093, -122.41267626306029],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6858511afc5b872201f3f3b3dc1202ef = L.popup({"maxWidth": "100%"});\n", + " var popup_f48fbf1064fca5ebe910661d66c346c0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_4959526757dfabaff868dbfbea90cec9 = $(`<div id="html_4959526757dfabaff868dbfbea90cec9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6858511afc5b872201f3f3b3dc1202ef.setContent(html_4959526757dfabaff868dbfbea90cec9);\n", + " var html_4337367027c0f63a984c552d215d2d32 = $(`<div id="html_4337367027c0f63a984c552d215d2d32" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_f48fbf1064fca5ebe910661d66c346c0.setContent(html_4337367027c0f63a984c552d215d2d32);\n", " \n", "\n", - " circle_marker_884e35935bb513eabdbb484f9ab51473.bindPopup(popup_6858511afc5b872201f3f3b3dc1202ef)\n", + " circle_marker_a79e910254fef4d562d25dfa1bbc20fe.bindPopup(popup_f48fbf1064fca5ebe910661d66c346c0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f07557e8af265e38eea8d830285785f2 = L.circleMarker(\n", + " var circle_marker_8c53b147bd365bcf6a3a8a2335c7f316 = L.circleMarker(\n", " [37.735512604334986, -122.4232176302866],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_58706868e61e8548dbabc83edcf5efe2 = L.popup({"maxWidth": "100%"});\n", + " var popup_136cc84bc6528ebfbfd198e8ef7389a5 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_3d923c6080c44ad820c8c74f577d11d6 = $(`<div id="html_3d923c6080c44ad820c8c74f577d11d6" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_58706868e61e8548dbabc83edcf5efe2.setContent(html_3d923c6080c44ad820c8c74f577d11d6);\n", + " var html_39fab991ef4a2e2c1698f59e2103802c = $(`<div id="html_39fab991ef4a2e2c1698f59e2103802c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_136cc84bc6528ebfbfd198e8ef7389a5.setContent(html_39fab991ef4a2e2c1698f59e2103802c);\n", " \n", "\n", - " circle_marker_f07557e8af265e38eea8d830285785f2.bindPopup(popup_58706868e61e8548dbabc83edcf5efe2)\n", + " circle_marker_8c53b147bd365bcf6a3a8a2335c7f316.bindPopup(popup_136cc84bc6528ebfbfd198e8ef7389a5)\n", " ;\n", "\n", " \n", " \n", " \n", - " var feature_group_fd783039ef0b2cdb99465bd8f855b3c6 = L.featureGroup(\n", + " var feature_group_0489a3806a7a1a805a2cd255cc8eb483 = L.featureGroup(\n", " {}\n", - " ).addTo(map_078fe1f28c1dfced6cae424d24908b23);\n", + " ).addTo(map_e5aa3b96114c9a9495cee09af10a3bc5);\n", " \n", " \n", - " var circle_marker_de9ce82e5ec09c28287fbcbb02b75c32 = L.circleMarker(\n", + " var circle_marker_50d1bba90ee5ffbb5fda637edd533de1 = L.circleMarker(\n", " [37.76032, -122.41957],\n", " {"bubblingMouseEvents": true, "color": "crimson", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "crimson", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_fd783039ef0b2cdb99465bd8f855b3c6);\n", + " ).addTo(feature_group_0489a3806a7a1a805a2cd255cc8eb483);\n", " \n", " \n", - " var popup_e7a679af4587053fe47476091346ec36 = L.popup({"maxWidth": "100%"});\n", + " var popup_070371ee72fd9379e2a62c9678d1f9ed = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_368c98634e098452f8137f6443505265 = $(`<div id="html_368c98634e098452f8137f6443505265" style="width: 100.0%; height: 100.0%;">Potential Restaurants</div>`)[0];\n", - " popup_e7a679af4587053fe47476091346ec36.setContent(html_368c98634e098452f8137f6443505265);\n", + " var html_0c61cbccced6b50e8ba2b82a9860f30b = $(`<div id="html_0c61cbccced6b50e8ba2b82a9860f30b" style="width: 100.0%; height: 100.0%;">Potential Restaurant (0)</div>`)[0];\n", + " popup_070371ee72fd9379e2a62c9678d1f9ed.setContent(html_0c61cbccced6b50e8ba2b82a9860f30b);\n", " \n", "\n", - " circle_marker_de9ce82e5ec09c28287fbcbb02b75c32.bindPopup(popup_e7a679af4587053fe47476091346ec36)\n", + " circle_marker_50d1bba90ee5ffbb5fda637edd533de1.bindPopup(popup_070371ee72fd9379e2a62c9678d1f9ed)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4b5a1efae4fcda8ac08b1901335c097d = L.circleMarker(\n", + " var circle_marker_fb8c0087d21f0301269f977f2b5808b0 = L.circleMarker(\n", " [37.75781, -122.40789],\n", " {"bubblingMouseEvents": true, "color": "crimson", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "crimson", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_fd783039ef0b2cdb99465bd8f855b3c6);\n", + " ).addTo(feature_group_0489a3806a7a1a805a2cd255cc8eb483);\n", " \n", " \n", - " var popup_3f121ca0759fded272b873fc72f9c6b3 = L.popup({"maxWidth": "100%"});\n", + " var popup_b7b93ffae0e299d0064e87a4d1156375 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_71203cd9e3552d81e4ef0a15edb83375 = $(`<div id="html_71203cd9e3552d81e4ef0a15edb83375" style="width: 100.0%; height: 100.0%;">Potential Restaurants</div>`)[0];\n", - " popup_3f121ca0759fded272b873fc72f9c6b3.setContent(html_71203cd9e3552d81e4ef0a15edb83375);\n", + " var html_d3e3942ad1fe9243f80d3e41ee174474 = $(`<div id="html_d3e3942ad1fe9243f80d3e41ee174474" style="width: 100.0%; height: 100.0%;">Potential Restaurant (1)</div>`)[0];\n", + " popup_b7b93ffae0e299d0064e87a4d1156375.setContent(html_d3e3942ad1fe9243f80d3e41ee174474);\n", " \n", "\n", - " circle_marker_4b5a1efae4fcda8ac08b1901335c097d.bindPopup(popup_3f121ca0759fded272b873fc72f9c6b3)\n", + " circle_marker_fb8c0087d21f0301269f977f2b5808b0.bindPopup(popup_b7b93ffae0e299d0064e87a4d1156375)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0c561bb3e581051aebd8709e8e7f8127 = L.circleMarker(\n", + " var circle_marker_0f3137c437398870d7868ddcc58f5d04 = L.circleMarker(\n", " [37.74622, -122.41525],\n", " {"bubblingMouseEvents": true, "color": "crimson", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "crimson", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_fd783039ef0b2cdb99465bd8f855b3c6);\n", + " ).addTo(feature_group_0489a3806a7a1a805a2cd255cc8eb483);\n", " \n", " \n", - " var popup_a8a545258ee35aa4b7aa028c2ee3e8af = L.popup({"maxWidth": "100%"});\n", + " var popup_1578894ed03f382cacc202f801448491 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_13fb7ba0e213ede3da8a65a6977e12aa = $(`<div id="html_13fb7ba0e213ede3da8a65a6977e12aa" style="width: 100.0%; height: 100.0%;">Potential Restaurants</div>`)[0];\n", - " popup_a8a545258ee35aa4b7aa028c2ee3e8af.setContent(html_13fb7ba0e213ede3da8a65a6977e12aa);\n", + " var html_ea56bc20fe19e1a3310b62c10ca3480f = $(`<div id="html_ea56bc20fe19e1a3310b62c10ca3480f" style="width: 100.0%; height: 100.0%;">Potential Restaurant (2)</div>`)[0];\n", + " popup_1578894ed03f382cacc202f801448491.setContent(html_ea56bc20fe19e1a3310b62c10ca3480f);\n", " \n", "\n", - " circle_marker_0c561bb3e581051aebd8709e8e7f8127.bindPopup(popup_a8a545258ee35aa4b7aa028c2ee3e8af)\n", + " circle_marker_0f3137c437398870d7868ddcc58f5d04.bindPopup(popup_1578894ed03f382cacc202f801448491)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_64f8bbb21534b816e8c8be3ec8908e92 = L.circleMarker(\n", + " var circle_marker_801900e7113cd1cea2cf3d9b278586d3 = L.circleMarker(\n", " [37.75189, -122.42265],\n", " {"bubblingMouseEvents": true, "color": "crimson", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "crimson", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_fd783039ef0b2cdb99465bd8f855b3c6);\n", + " ).addTo(feature_group_0489a3806a7a1a805a2cd255cc8eb483);\n", " \n", " \n", - " var popup_c141e34f1c0b1350618fcdd416c40630 = L.popup({"maxWidth": "100%"});\n", + " var popup_c54f89c794ee9c2205f6ad915ae4f325 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e854caaf0e8098ca8a924e7456f2acf1 = $(`<div id="html_e854caaf0e8098ca8a924e7456f2acf1" style="width: 100.0%; height: 100.0%;">Potential Restaurants</div>`)[0];\n", - " popup_c141e34f1c0b1350618fcdd416c40630.setContent(html_e854caaf0e8098ca8a924e7456f2acf1);\n", + " var html_52413c804391fd93d01528a1973558a4 = $(`<div id="html_52413c804391fd93d01528a1973558a4" style="width: 100.0%; height: 100.0%;">Potential Restaurant (3)</div>`)[0];\n", + " popup_c54f89c794ee9c2205f6ad915ae4f325.setContent(html_52413c804391fd93d01528a1973558a4);\n", " \n", "\n", - " circle_marker_64f8bbb21534b816e8c8be3ec8908e92.bindPopup(popup_c141e34f1c0b1350618fcdd416c40630)\n", + " circle_marker_801900e7113cd1cea2cf3d9b278586d3.bindPopup(popup_c54f89c794ee9c2205f6ad915ae4f325)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1012b6e8badcba906ae7630cf45d8273 = L.circleMarker(\n", + " var circle_marker_c0931f57ef209dd3679092a8ed39aa45 = L.circleMarker(\n", " [37.74224, -122.4189],\n", " {"bubblingMouseEvents": true, "color": "crimson", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "crimson", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_fd783039ef0b2cdb99465bd8f855b3c6);\n", + " ).addTo(feature_group_0489a3806a7a1a805a2cd255cc8eb483);\n", " \n", " \n", - " var popup_efc466bed795db998e5ea68e02828824 = L.popup({"maxWidth": "100%"});\n", + " var popup_dfd3f4e040cd6ef9bc4f2273fcd11f37 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_4ff5cf241eac73da993bec0e95ceb43c = $(`<div id="html_4ff5cf241eac73da993bec0e95ceb43c" style="width: 100.0%; height: 100.0%;">Potential Restaurants</div>`)[0];\n", - " popup_efc466bed795db998e5ea68e02828824.setContent(html_4ff5cf241eac73da993bec0e95ceb43c);\n", + " var html_a7c44808a1268754d90a260ca07fd32d = $(`<div id="html_a7c44808a1268754d90a260ca07fd32d" style="width: 100.0%; height: 100.0%;">Potential Restaurant (4)</div>`)[0];\n", + " popup_dfd3f4e040cd6ef9bc4f2273fcd11f37.setContent(html_a7c44808a1268754d90a260ca07fd32d);\n", " \n", "\n", - " circle_marker_1012b6e8badcba906ae7630cf45d8273.bindPopup(popup_efc466bed795db998e5ea68e02828824)\n", + " circle_marker_c0931f57ef209dd3679092a8ed39aa45.bindPopup(popup_dfd3f4e040cd6ef9bc4f2273fcd11f37)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_400d9ff3c07e640f92c1d513027993f6 = L.circleMarker(\n", + " var circle_marker_6a8f24803c90b7ffc986faad4dd5e400 = L.circleMarker(\n", " [37.73596, -122.41365],\n", " {"bubblingMouseEvents": true, "color": "crimson", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "crimson", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_fd783039ef0b2cdb99465bd8f855b3c6);\n", + " ).addTo(feature_group_0489a3806a7a1a805a2cd255cc8eb483);\n", " \n", " \n", - " var popup_8b7bd36e2723d4a0f08253a15cf210c1 = L.popup({"maxWidth": "100%"});\n", + " var popup_51ce7515952403f4d99a4025f54a131a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_4bae9bead3a1d32f58d3c6259cc7dcb6 = $(`<div id="html_4bae9bead3a1d32f58d3c6259cc7dcb6" style="width: 100.0%; height: 100.0%;">Potential Restaurants</div>`)[0];\n", - " popup_8b7bd36e2723d4a0f08253a15cf210c1.setContent(html_4bae9bead3a1d32f58d3c6259cc7dcb6);\n", + " var html_e0129cde52d7aa66e70eafbbb007ea34 = $(`<div id="html_e0129cde52d7aa66e70eafbbb007ea34" style="width: 100.0%; height: 100.0%;">Potential Restaurant (5)</div>`)[0];\n", + " popup_51ce7515952403f4d99a4025f54a131a.setContent(html_e0129cde52d7aa66e70eafbbb007ea34);\n", " \n", "\n", - " circle_marker_400d9ff3c07e640f92c1d513027993f6.bindPopup(popup_8b7bd36e2723d4a0f08253a15cf210c1)\n", + " circle_marker_6a8f24803c90b7ffc986faad4dd5e400.bindPopup(popup_51ce7515952403f4d99a4025f54a131a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_9b80ea8779c7f1309d64817ff5c76b9c = L.circleMarker(\n", + " var circle_marker_fc6629f4f6a72a82573f7a3187f174a7 = L.circleMarker(\n", " [37.76454, -122.40846],\n", " {"bubblingMouseEvents": true, "color": "crimson", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "crimson", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_fd783039ef0b2cdb99465bd8f855b3c6);\n", + " ).addTo(feature_group_0489a3806a7a1a805a2cd255cc8eb483);\n", " \n", " \n", - " var popup_156733e56ddb20ca41293105c83eccde = L.popup({"maxWidth": "100%"});\n", + " var popup_5867fe3c3aab2213480ca6bbf6c66208 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_33b83c9790049e51cf6e8fccde305b32 = $(`<div id="html_33b83c9790049e51cf6e8fccde305b32" style="width: 100.0%; height: 100.0%;">Potential Restaurants</div>`)[0];\n", - " popup_156733e56ddb20ca41293105c83eccde.setContent(html_33b83c9790049e51cf6e8fccde305b32);\n", + " var html_6eaa728068cbdab2ae9ec4d361e7f413 = $(`<div id="html_6eaa728068cbdab2ae9ec4d361e7f413" style="width: 100.0%; height: 100.0%;">Potential Restaurant (6)</div>`)[0];\n", + " popup_5867fe3c3aab2213480ca6bbf6c66208.setContent(html_6eaa728068cbdab2ae9ec4d361e7f413);\n", " \n", "\n", - " circle_marker_9b80ea8779c7f1309d64817ff5c76b9c.bindPopup(popup_156733e56ddb20ca41293105c83eccde)\n", + " circle_marker_fc6629f4f6a72a82573f7a3187f174a7.bindPopup(popup_5867fe3c3aab2213480ca6bbf6c66208)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_94e59ca64f40d5dc1dd7371cbf51bb0c = L.circleMarker(\n", + " var circle_marker_9dfd680e8e9574e72b689e7d121e965e = L.circleMarker(\n", " [37.75905, -122.41489],\n", " {"bubblingMouseEvents": true, "color": "crimson", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "crimson", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_fd783039ef0b2cdb99465bd8f855b3c6);\n", + " ).addTo(feature_group_0489a3806a7a1a805a2cd255cc8eb483);\n", " \n", " \n", - " var popup_a2a07495e01dfbe11e9dd4e8a5bbb9dc = L.popup({"maxWidth": "100%"});\n", + " var popup_492ff7be7bb3cae0e057e8fed810d474 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d8e9679e8c878ca1d7af58bcb270264e = $(`<div id="html_d8e9679e8c878ca1d7af58bcb270264e" style="width: 100.0%; height: 100.0%;">Potential Restaurants</div>`)[0];\n", - " popup_a2a07495e01dfbe11e9dd4e8a5bbb9dc.setContent(html_d8e9679e8c878ca1d7af58bcb270264e);\n", + " var html_01912053b7ddd2bd2789a30e40b18c6e = $(`<div id="html_01912053b7ddd2bd2789a30e40b18c6e" style="width: 100.0%; height: 100.0%;">Potential Restaurant (7)</div>`)[0];\n", + " popup_492ff7be7bb3cae0e057e8fed810d474.setContent(html_01912053b7ddd2bd2789a30e40b18c6e);\n", " \n", "\n", - " circle_marker_94e59ca64f40d5dc1dd7371cbf51bb0c.bindPopup(popup_a2a07495e01dfbe11e9dd4e8a5bbb9dc)\n", + " circle_marker_9dfd680e8e9574e72b689e7d121e965e.bindPopup(popup_492ff7be7bb3cae0e057e8fed810d474)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b341a0713b4ef71ba8ace16dff323075 = L.circleMarker(\n", + " var circle_marker_2a6995cd12460dc1780f1f330f7f152b = L.circleMarker(\n", " [37.74082, -122.42365],\n", " {"bubblingMouseEvents": true, "color": "crimson", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "crimson", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_fd783039ef0b2cdb99465bd8f855b3c6);\n", + " ).addTo(feature_group_0489a3806a7a1a805a2cd255cc8eb483);\n", " \n", " \n", - " var popup_53d10a7a1637d0af6557aff99b4489f5 = L.popup({"maxWidth": "100%"});\n", + " var popup_a6da8b47d1dc23e36b1e4ee1c041af78 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f02447d12bfe5bbb4c69ebb861b8bd13 = $(`<div id="html_f02447d12bfe5bbb4c69ebb861b8bd13" style="width: 100.0%; height: 100.0%;">Potential Restaurants</div>`)[0];\n", - " popup_53d10a7a1637d0af6557aff99b4489f5.setContent(html_f02447d12bfe5bbb4c69ebb861b8bd13);\n", + " var html_c1fb375c21cba00f64af5758bafe1cd0 = $(`<div id="html_c1fb375c21cba00f64af5758bafe1cd0" style="width: 100.0%; height: 100.0%;">Potential Restaurant (8)</div>`)[0];\n", + " popup_a6da8b47d1dc23e36b1e4ee1c041af78.setContent(html_c1fb375c21cba00f64af5758bafe1cd0);\n", " \n", "\n", - " circle_marker_b341a0713b4ef71ba8ace16dff323075.bindPopup(popup_53d10a7a1637d0af6557aff99b4489f5)\n", + " circle_marker_2a6995cd12460dc1780f1f330f7f152b.bindPopup(popup_a6da8b47d1dc23e36b1e4ee1c041af78)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7a94bb8bfeb15f6002bce274c39809ff = L.circleMarker(\n", + " var circle_marker_757e81ffea55df3ac2d9b29c1311e42e = L.circleMarker(\n", " [37.74899, -122.40667],\n", " {"bubblingMouseEvents": true, "color": "crimson", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "crimson", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_fd783039ef0b2cdb99465bd8f855b3c6);\n", + " ).addTo(feature_group_0489a3806a7a1a805a2cd255cc8eb483);\n", " \n", " \n", - " var popup_28aea0ed073a64b811ee751104e8d324 = L.popup({"maxWidth": "100%"});\n", + " var popup_366a537cd281151556d216c3bafaae64 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_78d5d0c489208f2269ec4f9614e64dd5 = $(`<div id="html_78d5d0c489208f2269ec4f9614e64dd5" style="width: 100.0%; height: 100.0%;">Potential Restaurants</div>`)[0];\n", - " popup_28aea0ed073a64b811ee751104e8d324.setContent(html_78d5d0c489208f2269ec4f9614e64dd5);\n", + " var html_2b4008d3531d09805f8d342cc461eeea = $(`<div id="html_2b4008d3531d09805f8d342cc461eeea" style="width: 100.0%; height: 100.0%;">Potential Restaurant (9)</div>`)[0];\n", + " popup_366a537cd281151556d216c3bafaae64.setContent(html_2b4008d3531d09805f8d342cc461eeea);\n", " \n", "\n", - " circle_marker_7a94bb8bfeb15f6002bce274c39809ff.bindPopup(popup_28aea0ed073a64b811ee751104e8d324)\n", + " circle_marker_757e81ffea55df3ac2d9b29c1311e42e.bindPopup(popup_366a537cd281151556d216c3bafaae64)\n", " ;\n", "\n", " \n", @@ -8458,7 +8458,7 @@ "</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen>" ], "text/plain": [ - "" + "" ] }, "execution_count": 9, @@ -8468,13 +8468,13 @@ ], "source": [ "restaurants_fg = folium.FeatureGroup(\"Restaurants\").add_to(m)\n", - "for coord in restaurants:\n", + "for i, coord in enumerate(restaurants):\n", " folium.CircleMarker(\n", " location=[coord[1], coord[0]],\n", " radius=5,\n", " fill=True,\n", " fill_opacity=1,\n", - " popup=folium.Popup(\"Potential Restaurants\", show=False),\n", + " popup=folium.Popup(f\"Potential Restaurant ({i})\", show=False),\n", " color=\"crimson\",\n", " ).add_to(restaurants_fg)\n", "m" @@ -8496,8 +8496,8 @@ "id": "0063b6c1", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:53:05.806149Z", - "start_time": "2022-10-29T23:53:05.801893Z" + "end_time": "2022-10-31T13:24:20.816435Z", + "start_time": "2022-10-31T13:24:20.813087Z" } }, "outputs": [], @@ -8513,8 +8513,8 @@ "id": "7f13139e", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:53:06.556075Z", - "start_time": "2022-10-29T23:53:05.810442Z" + "end_time": "2022-10-31T13:24:21.571922Z", + "start_time": "2022-10-31T13:24:20.818602Z" }, "scrolled": true }, @@ -8547,8 +8547,8 @@ "id": "456380f7", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:53:06.568256Z", - "start_time": "2022-10-29T23:53:06.561357Z" + "end_time": "2022-10-31T13:24:21.580666Z", + "start_time": "2022-10-31T13:24:21.577404Z" } }, "outputs": [], @@ -8572,15 +8572,14 @@ "id": "d4c053b7", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:53:06.656614Z", - "start_time": "2022-10-29T23:53:06.572044Z" + "end_time": "2022-10-31T13:24:21.662624Z", + "start_time": "2022-10-31T13:24:21.583765Z" } }, "outputs": [], "source": [ "mclp = MCLP.from_cost_matrix(cost_matrix, ai, SERVICE_RADIUS, p_facilities=P_FACILITIES)\n", - "mclp = mclp.solve(solver)\n", - "mclp.get_percentage()" + "mclp = mclp.solve(solver)" ] }, { @@ -8597,8 +8596,8 @@ "id": "2b377c3b", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:53:06.664425Z", - "start_time": "2022-10-29T23:53:06.660153Z" + "end_time": "2022-10-31T13:24:21.670905Z", + "start_time": "2022-10-31T13:24:21.665890Z" } }, "outputs": [ @@ -8613,7 +8612,7 @@ "source": [ "obj_val = int(mclp.problem.objective.value())\n", "minutes = int(SERVICE_RADIUS/60)\n", - "obj_perc = mclp.percentage*100.\n", + "obj_perc = mclp.perc_cov\n", "print(\n", " f\"Of the {NUM_HOUSEHOLDS} households, {obj_val} have access to at least 1 \"\n", " f\"restaurant within a {minutes}-minute walk along the street network when \"\n", @@ -8635,8 +8634,8 @@ "id": "5323e10c", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:53:06.964926Z", - "start_time": "2022-10-29T23:53:06.666160Z" + "end_time": "2022-10-31T13:24:22.025911Z", + "start_time": "2022-10-31T13:24:21.673193Z" } }, "outputs": [ @@ -8668,7 +8667,7 @@ " <meta name="viewport" content="width=device-width,\n", " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", " <style>\n", - " #map_078fe1f28c1dfced6cae424d24908b23 {\n", + " #map_e5aa3b96114c9a9495cee09af10a3bc5 {\n", " position: relative;\n", " width: 100.0%;\n", " height: 100.0%;\n", @@ -8680,13 +8679,13 @@ "</head>\n", "<body> \n", " \n", - " <div class="folium-map" id="map_078fe1f28c1dfced6cae424d24908b23" ></div>\n", + " <div class="folium-map" id="map_e5aa3b96114c9a9495cee09af10a3bc5" ></div>\n", " \n", "</body>\n", "<script> \n", " \n", - " var map_078fe1f28c1dfced6cae424d24908b23 = L.map(\n", - " "map_078fe1f28c1dfced6cae424d24908b23",\n", + " var map_e5aa3b96114c9a9495cee09af10a3bc5 = L.map(\n", + " "map_e5aa3b96114c9a9495cee09af10a3bc5",\n", " {\n", " center: [37.748273, -122.410558],\n", " crs: L.CRS.EPSG3857,\n", @@ -8700,7319 +8699,7319 @@ "\n", " \n", " \n", - " var tile_layer_084da3d2f831ad43d59e0c9becd7135d = L.tileLayer(\n", + " var tile_layer_d89f84fb45e7a557f8aa6b8ea731b1f9 = L.tileLayer(\n", " "https://cartodb-basemaps-{s}.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png",\n", " {"attribution": "\\u0026copy; \\u003ca href=\\"http://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors \\u0026copy; \\u003ca href=\\"http://cartodb.com/attributions\\"\\u003eCartoDB\\u003c/a\\u003e, CartoDB \\u003ca href =\\"http://cartodb.com/attributions\\"\\u003eattributions\\u003c/a\\u003e", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n", - " ).addTo(map_078fe1f28c1dfced6cae424d24908b23);\n", + " ).addTo(map_e5aa3b96114c9a9495cee09af10a3bc5);\n", " \n", " \n", - " function geo_json_d720ea642bf60f5df1b931aa12839266_styler(feature) {\n", + " function geo_json_8ec1c0573930baf88e472fa28ee3369f_styler(feature) {\n", " switch(feature.id) {\n", " default:\n", " return {"color": "darksalmon", "fillColor": "darksalmon"};\n", " }\n", " }\n", "\n", - " function geo_json_d720ea642bf60f5df1b931aa12839266_onEachFeature(feature, layer) {\n", + " function geo_json_8ec1c0573930baf88e472fa28ee3369f_onEachFeature(feature, layer) {\n", " layer.on({\n", " });\n", " };\n", - " var geo_json_d720ea642bf60f5df1b931aa12839266 = L.geoJson(null, {\n", - " onEachFeature: geo_json_d720ea642bf60f5df1b931aa12839266_onEachFeature,\n", + " var geo_json_8ec1c0573930baf88e472fa28ee3369f = L.geoJson(null, {\n", + " onEachFeature: geo_json_8ec1c0573930baf88e472fa28ee3369f_onEachFeature,\n", " \n", - " style: geo_json_d720ea642bf60f5df1b931aa12839266_styler,\n", + " style: geo_json_8ec1c0573930baf88e472fa28ee3369f_styler,\n", " });\n", "\n", - " function geo_json_d720ea642bf60f5df1b931aa12839266_add (data) {\n", - " geo_json_d720ea642bf60f5df1b931aa12839266\n", + " function geo_json_8ec1c0573930baf88e472fa28ee3369f_add (data) {\n", + " geo_json_8ec1c0573930baf88e472fa28ee3369f\n", " .addData(data)\n", - " .addTo(map_078fe1f28c1dfced6cae424d24908b23);\n", + " .addTo(map_e5aa3b96114c9a9495cee09af10a3bc5);\n", " }\n", - " geo_json_d720ea642bf60f5df1b931aa12839266_add({"features": [{"geometry": {"coordinates": [[[-122.405115, 37.764635], [-122.405212, 37.763469], [-122.405832, 37.762199], [-122.405859, 37.761815], [-122.40604, 37.761865], [-122.406365, 37.761199], [-122.40645, 37.760114], [-122.406167, 37.759315], [-122.406015, 37.759409], [-122.405604, 37.758851], [-122.40405, 37.757619], [-122.403428, 37.756871], [-122.403585, 37.756818], [-122.403328, 37.756082], [-122.40315, 37.754488], [-122.403524, 37.754463], [-122.403437, 37.753199], [-122.403364, 37.752366], [-122.403022, 37.752336], [-122.403052, 37.752048], [-122.405091, 37.745281], [-122.405614, 37.7442], [-122.405493, 37.744084], [-122.404865, 37.744385], [-122.404524, 37.744285], [-122.406652, 37.741241], [-122.406936, 37.740554], [-122.407045, 37.739587], [-122.408136, 37.73964], [-122.408009, 37.737734], [-122.408218, 37.73765], [-122.408284, 37.736846], [-122.408613, 37.736074], [-122.409287, 37.735258], [-122.410052, 37.734675], [-122.411978, 37.733732], [-122.412695, 37.733197], [-122.414554, 37.732371], [-122.416255, 37.732034], [-122.419881, 37.732016], [-122.423718, 37.73155], [-122.425944, 37.731698], [-122.425256, 37.732125], [-122.422274, 37.732383], [-122.421889, 37.732533], [-122.421787, 37.732774], [-122.422472, 37.733967], [-122.422901, 37.734388], [-122.422243, 37.734846], [-122.422133, 37.735162], [-122.426983, 37.735455], [-122.427849, 37.734718], [-122.428578, 37.735082], [-122.42801, 37.735441], [-122.428454, 37.735882], [-122.42551, 37.737774], [-122.42452, 37.739868], [-122.42427, 37.739867], [-122.424394, 37.740405], [-122.424168, 37.740805], [-122.426453, 37.764634], [-122.421885, 37.764908], [-122.42173, 37.763304], [-122.421031, 37.76335], [-122.421248, 37.764947], [-122.407553, 37.765798], [-122.407431, 37.764497], [-122.405115, 37.764635]]], "type": "Polygon"}, "id": "0", "type": "Feature"}], "type": "FeatureCollection"});\n", + " geo_json_8ec1c0573930baf88e472fa28ee3369f_add({"features": [{"geometry": {"coordinates": [[[-122.405115, 37.764635], [-122.405212, 37.763469], [-122.405832, 37.762199], [-122.405859, 37.761815], [-122.40604, 37.761865], [-122.406365, 37.761199], [-122.40645, 37.760114], [-122.406167, 37.759315], [-122.406015, 37.759409], [-122.405604, 37.758851], [-122.40405, 37.757619], [-122.403428, 37.756871], [-122.403585, 37.756818], [-122.403328, 37.756082], [-122.40315, 37.754488], [-122.403524, 37.754463], [-122.403437, 37.753199], [-122.403364, 37.752366], [-122.403022, 37.752336], [-122.403052, 37.752048], [-122.405091, 37.745281], [-122.405614, 37.7442], [-122.405493, 37.744084], [-122.404865, 37.744385], [-122.404524, 37.744285], [-122.406652, 37.741241], [-122.406936, 37.740554], [-122.407045, 37.739587], [-122.408136, 37.73964], [-122.408009, 37.737734], [-122.408218, 37.73765], [-122.408284, 37.736846], [-122.408613, 37.736074], [-122.409287, 37.735258], [-122.410052, 37.734675], [-122.411978, 37.733732], [-122.412695, 37.733197], [-122.414554, 37.732371], [-122.416255, 37.732034], [-122.419881, 37.732016], [-122.423718, 37.73155], [-122.425944, 37.731698], [-122.425256, 37.732125], [-122.422274, 37.732383], [-122.421889, 37.732533], [-122.421787, 37.732774], [-122.422472, 37.733967], [-122.422901, 37.734388], [-122.422243, 37.734846], [-122.422133, 37.735162], [-122.426983, 37.735455], [-122.427849, 37.734718], [-122.428578, 37.735082], [-122.42801, 37.735441], [-122.428454, 37.735882], [-122.42551, 37.737774], [-122.42452, 37.739868], [-122.42427, 37.739867], [-122.424394, 37.740405], [-122.424168, 37.740805], [-122.426453, 37.764634], [-122.421885, 37.764908], [-122.42173, 37.763304], [-122.421031, 37.76335], [-122.421248, 37.764947], [-122.407553, 37.765798], [-122.407431, 37.764497], [-122.405115, 37.764635]]], "type": "Polygon"}, "id": "0", "type": "Feature"}], "type": "FeatureCollection"});\n", "\n", " \n", " \n", - " var feature_group_599901bd05ba2c8658a21f7f4add54f4 = L.featureGroup(\n", + " var feature_group_e1f9d57d307450d45b11851a79957446 = L.featureGroup(\n", " {}\n", - " ).addTo(map_078fe1f28c1dfced6cae424d24908b23);\n", + " ).addTo(map_e5aa3b96114c9a9495cee09af10a3bc5);\n", " \n", " \n", - " var circle_marker_76f808b0dafc497c729a54b29ca33302 = L.circleMarker(\n", + " var circle_marker_54203628b090162a8a773a77489fcfc3 = L.circleMarker(\n", " [37.75604380541952, -122.41455252209364],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_446075d0bcdd5eaa0a3480141b3cfcbf = L.popup({"maxWidth": "100%"});\n", + " var popup_8104d3b7a6e17b25085f683b5c25b183 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_606868863b2309edf33a7e31fbcd0911 = $(`<div id="html_606868863b2309edf33a7e31fbcd0911" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_446075d0bcdd5eaa0a3480141b3cfcbf.setContent(html_606868863b2309edf33a7e31fbcd0911);\n", + " var html_0bce832e222e183a306b6bd5efb7f132 = $(`<div id="html_0bce832e222e183a306b6bd5efb7f132" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_8104d3b7a6e17b25085f683b5c25b183.setContent(html_0bce832e222e183a306b6bd5efb7f132);\n", " \n", "\n", - " circle_marker_76f808b0dafc497c729a54b29ca33302.bindPopup(popup_446075d0bcdd5eaa0a3480141b3cfcbf)\n", + " circle_marker_54203628b090162a8a773a77489fcfc3.bindPopup(popup_8104d3b7a6e17b25085f683b5c25b183)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_58fb1eee98c8d1605b39e3b851a48ece = L.circleMarker(\n", + " var circle_marker_aa5451f5b5e924ae4138a3ecf9c14c20 = L.circleMarker(\n", " [37.75021115925127, -122.41317377916111],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_305e41489bd526ece0ec8831fa9858a5 = L.popup({"maxWidth": "100%"});\n", + " var popup_176243d08a7c1b7251a1038e28ed1283 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_9c70eff305e60455afc9605086abc453 = $(`<div id="html_9c70eff305e60455afc9605086abc453" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_305e41489bd526ece0ec8831fa9858a5.setContent(html_9c70eff305e60455afc9605086abc453);\n", + " var html_a433a3d34cdb804a1fb4c9a0f9f98fbe = $(`<div id="html_a433a3d34cdb804a1fb4c9a0f9f98fbe" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_176243d08a7c1b7251a1038e28ed1283.setContent(html_a433a3d34cdb804a1fb4c9a0f9f98fbe);\n", " \n", "\n", - " circle_marker_58fb1eee98c8d1605b39e3b851a48ece.bindPopup(popup_305e41489bd526ece0ec8831fa9858a5)\n", + " circle_marker_aa5451f5b5e924ae4138a3ecf9c14c20.bindPopup(popup_176243d08a7c1b7251a1038e28ed1283)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_329308f4630bd51c5da61971e1b87506 = L.circleMarker(\n", + " var circle_marker_aeac770fbf96ce25159536bb7f359776 = L.circleMarker(\n", " [37.7536705815843, -122.4177510779481],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_a010c67ab514eb463766f2d1760247f6 = L.popup({"maxWidth": "100%"});\n", + " var popup_5bdc4b10485111a8cef355e537feaeda = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f624ee86275e3c9887ebf1795dc98354 = $(`<div id="html_f624ee86275e3c9887ebf1795dc98354" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_a010c67ab514eb463766f2d1760247f6.setContent(html_f624ee86275e3c9887ebf1795dc98354);\n", + " var html_4419f15f7cf96b1f2ee32faff4f76198 = $(`<div id="html_4419f15f7cf96b1f2ee32faff4f76198" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_5bdc4b10485111a8cef355e537feaeda.setContent(html_4419f15f7cf96b1f2ee32faff4f76198);\n", " \n", "\n", - " circle_marker_329308f4630bd51c5da61971e1b87506.bindPopup(popup_a010c67ab514eb463766f2d1760247f6)\n", + " circle_marker_aeac770fbf96ce25159536bb7f359776.bindPopup(popup_5bdc4b10485111a8cef355e537feaeda)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2684adb7457619b148b1d3f354c4e943 = L.circleMarker(\n", + " var circle_marker_935e9b4371a0e548e5ea77d26da45c99 = L.circleMarker(\n", " [37.76209144173078, -122.41739502122897],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_73ebdaac0d79c9dcca8c9a7bf0e6ddf5 = L.popup({"maxWidth": "100%"});\n", + " var popup_d75410550c7cb6a5993bd2db23aecea8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d02e444a9bc1be6e37c0d4f9b94332a2 = $(`<div id="html_d02e444a9bc1be6e37c0d4f9b94332a2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_73ebdaac0d79c9dcca8c9a7bf0e6ddf5.setContent(html_d02e444a9bc1be6e37c0d4f9b94332a2);\n", + " var html_8024931ea6e59fe18ccdddfdbf1a0150 = $(`<div id="html_8024931ea6e59fe18ccdddfdbf1a0150" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_d75410550c7cb6a5993bd2db23aecea8.setContent(html_8024931ea6e59fe18ccdddfdbf1a0150);\n", " \n", "\n", - " circle_marker_2684adb7457619b148b1d3f354c4e943.bindPopup(popup_73ebdaac0d79c9dcca8c9a7bf0e6ddf5)\n", + " circle_marker_935e9b4371a0e548e5ea77d26da45c99.bindPopup(popup_d75410550c7cb6a5993bd2db23aecea8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bc8ab357209e9141d24423c3e0bad220 = L.circleMarker(\n", + " var circle_marker_ba817851e41a93cda4eaf4173d278d3e = L.circleMarker(\n", " [37.74966359321169, -122.40834467492677],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6a2d8269355b54a43572b5642f9a6f43 = L.popup({"maxWidth": "100%"});\n", + " var popup_c4a2965d526a685c3e40192601e8b723 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_db93003ec5a3fdd14e04e3ee4ee2dad2 = $(`<div id="html_db93003ec5a3fdd14e04e3ee4ee2dad2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6a2d8269355b54a43572b5642f9a6f43.setContent(html_db93003ec5a3fdd14e04e3ee4ee2dad2);\n", + " var html_675e1283f6df2aa2a24bcdff8d83a9dd = $(`<div id="html_675e1283f6df2aa2a24bcdff8d83a9dd" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_c4a2965d526a685c3e40192601e8b723.setContent(html_675e1283f6df2aa2a24bcdff8d83a9dd);\n", " \n", "\n", - " circle_marker_bc8ab357209e9141d24423c3e0bad220.bindPopup(popup_6a2d8269355b54a43572b5642f9a6f43)\n", + " circle_marker_ba817851e41a93cda4eaf4173d278d3e.bindPopup(popup_c4a2965d526a685c3e40192601e8b723)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_cff4302f4780cc1ccc80368327ef2ef1 = L.circleMarker(\n", + " var circle_marker_b1d88158a6bdc8dfb7ecd0426dfe05b4 = L.circleMarker(\n", " [37.76324983366825, -122.41406105319669],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_79ed3b1cc97dbab2469b9ccfff5e0bf9 = L.popup({"maxWidth": "100%"});\n", + " var popup_8e1128c31a433b4a6299360402b59d8b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0bcd79393c825266a367383ee065ab6b = $(`<div id="html_0bcd79393c825266a367383ee065ab6b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_79ed3b1cc97dbab2469b9ccfff5e0bf9.setContent(html_0bcd79393c825266a367383ee065ab6b);\n", + " var html_ad3c466ae8f3266d9e3797dee58f5e96 = $(`<div id="html_ad3c466ae8f3266d9e3797dee58f5e96" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_8e1128c31a433b4a6299360402b59d8b.setContent(html_ad3c466ae8f3266d9e3797dee58f5e96);\n", " \n", "\n", - " circle_marker_cff4302f4780cc1ccc80368327ef2ef1.bindPopup(popup_79ed3b1cc97dbab2469b9ccfff5e0bf9)\n", + " circle_marker_b1d88158a6bdc8dfb7ecd0426dfe05b4.bindPopup(popup_8e1128c31a433b4a6299360402b59d8b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1ae5710e9d581fa156886776df2ae7d0 = L.circleMarker(\n", + " var circle_marker_86d7d0fe55131c2aed8565c147472587 = L.circleMarker(\n", " [37.76134617605315, -122.40869142607274],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_d1387e469f0566da6e768319ee0a2bb4 = L.popup({"maxWidth": "100%"});\n", + " var popup_661d5808c52ad30af908b34bb31f94a0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_39ae3ca82984cadea81490f7609b46a4 = $(`<div id="html_39ae3ca82984cadea81490f7609b46a4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_d1387e469f0566da6e768319ee0a2bb4.setContent(html_39ae3ca82984cadea81490f7609b46a4);\n", + " var html_c8694c6dac130dd9d817a068b91d7c4e = $(`<div id="html_c8694c6dac130dd9d817a068b91d7c4e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_661d5808c52ad30af908b34bb31f94a0.setContent(html_c8694c6dac130dd9d817a068b91d7c4e);\n", " \n", "\n", - " circle_marker_1ae5710e9d581fa156886776df2ae7d0.bindPopup(popup_d1387e469f0566da6e768319ee0a2bb4)\n", + " circle_marker_86d7d0fe55131c2aed8565c147472587.bindPopup(popup_661d5808c52ad30af908b34bb31f94a0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_db7c4bbde884afcc6b4dba3381dfb02e = L.circleMarker(\n", + " var circle_marker_57f678964fd4efb13947cc3289e0011f = L.circleMarker(\n", " [37.75828156322945, -122.41678443341827],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6872a205105280bf5bb304258c4774ac = L.popup({"maxWidth": "100%"});\n", + " var popup_08198feb6da9a702d0e01599a2ca9201 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_02bbcf8f25c214a9c037d2dde05908a4 = $(`<div id="html_02bbcf8f25c214a9c037d2dde05908a4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6872a205105280bf5bb304258c4774ac.setContent(html_02bbcf8f25c214a9c037d2dde05908a4);\n", + " var html_4557c2fd82a1a1bd69cc8bcb408cf0a9 = $(`<div id="html_4557c2fd82a1a1bd69cc8bcb408cf0a9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_08198feb6da9a702d0e01599a2ca9201.setContent(html_4557c2fd82a1a1bd69cc8bcb408cf0a9);\n", " \n", "\n", - " circle_marker_db7c4bbde884afcc6b4dba3381dfb02e.bindPopup(popup_6872a205105280bf5bb304258c4774ac)\n", + " circle_marker_57f678964fd4efb13947cc3289e0011f.bindPopup(popup_08198feb6da9a702d0e01599a2ca9201)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0812f0da4533ca41da52670e3bc386f1 = L.circleMarker(\n", + " var circle_marker_4740b93e2f8fd112083acc2048dc0f50 = L.circleMarker(\n", " [37.76390302107111, -122.42491446338698],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_8273071d4adf8dccc7ae27ed1ddf3793 = L.popup({"maxWidth": "100%"});\n", + " var popup_968bbbce25be9e94c88d81cc54bfd8a9 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_7eb815cdd84c22473e6192428c9a6500 = $(`<div id="html_7eb815cdd84c22473e6192428c9a6500" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_8273071d4adf8dccc7ae27ed1ddf3793.setContent(html_7eb815cdd84c22473e6192428c9a6500);\n", + " var html_48fc35179e1a43208f615e3bce37a9fb = $(`<div id="html_48fc35179e1a43208f615e3bce37a9fb" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_968bbbce25be9e94c88d81cc54bfd8a9.setContent(html_48fc35179e1a43208f615e3bce37a9fb);\n", " \n", "\n", - " circle_marker_0812f0da4533ca41da52670e3bc386f1.bindPopup(popup_8273071d4adf8dccc7ae27ed1ddf3793)\n", + " circle_marker_4740b93e2f8fd112083acc2048dc0f50.bindPopup(popup_968bbbce25be9e94c88d81cc54bfd8a9)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_48df8fdd17f6f624e7f0e16634c19068 = L.circleMarker(\n", + " var circle_marker_f5419da322efbf899c269a5b3ad63dda = L.circleMarker(\n", " [37.74575134212079, -122.41524164428937],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_92f252e10aca80ab0a8ea5cce64330fa = L.popup({"maxWidth": "100%"});\n", + " var popup_693cdd2a3ee2a054452e7ba99bbe6c35 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a0dbd08b96b98a66d50c5e161372c884 = $(`<div id="html_a0dbd08b96b98a66d50c5e161372c884" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_92f252e10aca80ab0a8ea5cce64330fa.setContent(html_a0dbd08b96b98a66d50c5e161372c884);\n", + " var html_d22d6000c3e3fb4a2abb1084991a682b = $(`<div id="html_d22d6000c3e3fb4a2abb1084991a682b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_693cdd2a3ee2a054452e7ba99bbe6c35.setContent(html_d22d6000c3e3fb4a2abb1084991a682b);\n", " \n", "\n", - " circle_marker_48df8fdd17f6f624e7f0e16634c19068.bindPopup(popup_92f252e10aca80ab0a8ea5cce64330fa)\n", + " circle_marker_f5419da322efbf899c269a5b3ad63dda.bindPopup(popup_693cdd2a3ee2a054452e7ba99bbe6c35)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b8ea989bcf42bbbcdb5ad798ce48ebe5 = L.circleMarker(\n", + " var circle_marker_b74a5577b05e441e357db127f407965c = L.circleMarker(\n", " [37.75806595539574, -122.42181701677706],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_335a796f2c8208ae60da4043bc1c0324 = L.popup({"maxWidth": "100%"});\n", + " var popup_044a5d82d66981058db548b54518d506 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_11cdf4687c88eaece29a4b7d4b8c35ec = $(`<div id="html_11cdf4687c88eaece29a4b7d4b8c35ec" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_335a796f2c8208ae60da4043bc1c0324.setContent(html_11cdf4687c88eaece29a4b7d4b8c35ec);\n", + " var html_4dc990b4756ce7260e9401a28ddd1c58 = $(`<div id="html_4dc990b4756ce7260e9401a28ddd1c58" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_044a5d82d66981058db548b54518d506.setContent(html_4dc990b4756ce7260e9401a28ddd1c58);\n", " \n", "\n", - " circle_marker_b8ea989bcf42bbbcdb5ad798ce48ebe5.bindPopup(popup_335a796f2c8208ae60da4043bc1c0324)\n", + " circle_marker_b74a5577b05e441e357db127f407965c.bindPopup(popup_044a5d82d66981058db548b54518d506)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e212cf951f7bfa4171cee186a3f0b9da = L.circleMarker(\n", + " var circle_marker_f80f6e9257d4d0a1bb86bea93d78d789 = L.circleMarker(\n", " [37.75101772588085, -122.41692062210988],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_7b845cd74aeb85e69fd442316669092d = L.popup({"maxWidth": "100%"});\n", + " var popup_421b284952392865eb38529b38ad905f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_74bd641db4db285511a2c7b4e7da22cd = $(`<div id="html_74bd641db4db285511a2c7b4e7da22cd" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_7b845cd74aeb85e69fd442316669092d.setContent(html_74bd641db4db285511a2c7b4e7da22cd);\n", + " var html_2024cd99fd406060aeaf7e2ccc19c598 = $(`<div id="html_2024cd99fd406060aeaf7e2ccc19c598" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_421b284952392865eb38529b38ad905f.setContent(html_2024cd99fd406060aeaf7e2ccc19c598);\n", " \n", "\n", - " circle_marker_e212cf951f7bfa4171cee186a3f0b9da.bindPopup(popup_7b845cd74aeb85e69fd442316669092d)\n", + " circle_marker_f80f6e9257d4d0a1bb86bea93d78d789.bindPopup(popup_421b284952392865eb38529b38ad905f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_557079183963d9506462a78f44f3c520 = L.circleMarker(\n", + " var circle_marker_87e160ff46b4cfcdf310dcc368c7af03 = L.circleMarker(\n", " [37.75267875552496, -122.4129352817101],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f33610a60a2f83131212cc6e5610c7d3 = L.popup({"maxWidth": "100%"});\n", + " var popup_71cfa587cd92395fc6694ae98f86cf06 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ff13204e5ff582b7801cd1f319b0f301 = $(`<div id="html_ff13204e5ff582b7801cd1f319b0f301" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f33610a60a2f83131212cc6e5610c7d3.setContent(html_ff13204e5ff582b7801cd1f319b0f301);\n", + " var html_19cd4643e14f7fb20aa1714618dd8055 = $(`<div id="html_19cd4643e14f7fb20aa1714618dd8055" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_71cfa587cd92395fc6694ae98f86cf06.setContent(html_19cd4643e14f7fb20aa1714618dd8055);\n", " \n", "\n", - " circle_marker_557079183963d9506462a78f44f3c520.bindPopup(popup_f33610a60a2f83131212cc6e5610c7d3)\n", + " circle_marker_87e160ff46b4cfcdf310dcc368c7af03.bindPopup(popup_71cfa587cd92395fc6694ae98f86cf06)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0bff0c5ad5a8f3ecc4bb166740aa5f52 = L.circleMarker(\n", + " var circle_marker_b31b54c9fc8d565defc705ad7f250cd8 = L.circleMarker(\n", " [37.75490098160369, -122.40445957410549],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_654e8895301c5da7a04252c92d9e5e45 = L.popup({"maxWidth": "100%"});\n", + " var popup_1da77085ea9993431826fff49cf51315 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_83d892be48bf4693ae87c31968e85892 = $(`<div id="html_83d892be48bf4693ae87c31968e85892" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_654e8895301c5da7a04252c92d9e5e45.setContent(html_83d892be48bf4693ae87c31968e85892);\n", + " var html_196e123861a6df6ba93eae47889d764a = $(`<div id="html_196e123861a6df6ba93eae47889d764a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1da77085ea9993431826fff49cf51315.setContent(html_196e123861a6df6ba93eae47889d764a);\n", " \n", "\n", - " circle_marker_0bff0c5ad5a8f3ecc4bb166740aa5f52.bindPopup(popup_654e8895301c5da7a04252c92d9e5e45)\n", + " circle_marker_b31b54c9fc8d565defc705ad7f250cd8.bindPopup(popup_1da77085ea9993431826fff49cf51315)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ed0e48e9f5fcfc8e1c9b93f476d11cb8 = L.circleMarker(\n", + " var circle_marker_65bd616a2815f1b3ca17efe8f7913a4a = L.circleMarker(\n", " [37.746517470353716, -122.41939041609294],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_877571cec4928135e7044f4da4379f1b = L.popup({"maxWidth": "100%"});\n", + " var popup_b8c17b2c65682551e2e25c036aec003b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_5bba310ca3562cc95f1c9b94cf9f05a6 = $(`<div id="html_5bba310ca3562cc95f1c9b94cf9f05a6" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_877571cec4928135e7044f4da4379f1b.setContent(html_5bba310ca3562cc95f1c9b94cf9f05a6);\n", + " var html_a894e5e53ccb239e8e5458c2d7b1a378 = $(`<div id="html_a894e5e53ccb239e8e5458c2d7b1a378" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b8c17b2c65682551e2e25c036aec003b.setContent(html_a894e5e53ccb239e8e5458c2d7b1a378);\n", " \n", "\n", - " circle_marker_ed0e48e9f5fcfc8e1c9b93f476d11cb8.bindPopup(popup_877571cec4928135e7044f4da4379f1b)\n", + " circle_marker_65bd616a2815f1b3ca17efe8f7913a4a.bindPopup(popup_b8c17b2c65682551e2e25c036aec003b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_29e71fe67867cdfc66bf4717b08272da = L.circleMarker(\n", + " var circle_marker_4a8c8dd0ad6a8aa82c176b31f83ca69d = L.circleMarker(\n", " [37.75451800575868, -122.41153810982007],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_2bc3ffcd0f6ace4e00fc1a8a2d2bf747 = L.popup({"maxWidth": "100%"});\n", + " var popup_8f4b4861e1ae9a7816811ab7f90a4a96 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_edec26c947228aa189ee30cc16c04d6f = $(`<div id="html_edec26c947228aa189ee30cc16c04d6f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_2bc3ffcd0f6ace4e00fc1a8a2d2bf747.setContent(html_edec26c947228aa189ee30cc16c04d6f);\n", + " var html_ae2cff158f2f0f1917caa203ec5a8503 = $(`<div id="html_ae2cff158f2f0f1917caa203ec5a8503" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_8f4b4861e1ae9a7816811ab7f90a4a96.setContent(html_ae2cff158f2f0f1917caa203ec5a8503);\n", " \n", "\n", - " circle_marker_29e71fe67867cdfc66bf4717b08272da.bindPopup(popup_2bc3ffcd0f6ace4e00fc1a8a2d2bf747)\n", + " circle_marker_4a8c8dd0ad6a8aa82c176b31f83ca69d.bindPopup(popup_8f4b4861e1ae9a7816811ab7f90a4a96)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c7ce2a13dca2c6c440207fe1dac8df2f = L.circleMarker(\n", + " var circle_marker_5e67b7246ace62d0c09d5d9e3d074b72 = L.circleMarker(\n", " [37.735965467842085, -122.4232014632692],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_3182ea3c63dbf00ec3abad82c504f9ca = L.popup({"maxWidth": "100%"});\n", + " var popup_2444a1deea9c227ea4062275daa65643 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_8cd91790f0dea4699a39303dec0c16fa = $(`<div id="html_8cd91790f0dea4699a39303dec0c16fa" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_3182ea3c63dbf00ec3abad82c504f9ca.setContent(html_8cd91790f0dea4699a39303dec0c16fa);\n", + " var html_eeed52c3d7aa1dafdfa995206cfde765 = $(`<div id="html_eeed52c3d7aa1dafdfa995206cfde765" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_2444a1deea9c227ea4062275daa65643.setContent(html_eeed52c3d7aa1dafdfa995206cfde765);\n", " \n", "\n", - " circle_marker_c7ce2a13dca2c6c440207fe1dac8df2f.bindPopup(popup_3182ea3c63dbf00ec3abad82c504f9ca)\n", + " circle_marker_5e67b7246ace62d0c09d5d9e3d074b72.bindPopup(popup_2444a1deea9c227ea4062275daa65643)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_44f4484b9123bf14ab63e5525436c136 = L.circleMarker(\n", + " var circle_marker_3846c6b0c92289a707b20749253b15fb = L.circleMarker(\n", " [37.74400636648324, -122.42051691306378],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f0edbed02cf06124930e24b7229a6e49 = L.popup({"maxWidth": "100%"});\n", + " var popup_74c0504ad4cbd19130c2888e2f15f70e = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a3ec78d840c91b81ed1a0a6bedc30d94 = $(`<div id="html_a3ec78d840c91b81ed1a0a6bedc30d94" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f0edbed02cf06124930e24b7229a6e49.setContent(html_a3ec78d840c91b81ed1a0a6bedc30d94);\n", + " var html_d7192ccd840a8ff06635bf40c5dee82b = $(`<div id="html_d7192ccd840a8ff06635bf40c5dee82b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_74c0504ad4cbd19130c2888e2f15f70e.setContent(html_d7192ccd840a8ff06635bf40c5dee82b);\n", " \n", "\n", - " circle_marker_44f4484b9123bf14ab63e5525436c136.bindPopup(popup_f0edbed02cf06124930e24b7229a6e49)\n", + " circle_marker_3846c6b0c92289a707b20749253b15fb.bindPopup(popup_74c0504ad4cbd19130c2888e2f15f70e)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_982b6efc75da052f9a60de41bb4dbf9e = L.circleMarker(\n", + " var circle_marker_3115c0d72280dbbc4d6a707365aa799d = L.circleMarker(\n", " [37.74657122463306, -122.4140060513352],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_fd1f28fcefacde0363e1bfcbc7e7bd23 = L.popup({"maxWidth": "100%"});\n", + " var popup_d9e7569eba4864f6e7f83c6a5462baa0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_28ffe10e3855f88ebee01addbc82345d = $(`<div id="html_28ffe10e3855f88ebee01addbc82345d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_fd1f28fcefacde0363e1bfcbc7e7bd23.setContent(html_28ffe10e3855f88ebee01addbc82345d);\n", + " var html_1d8f47108a5f3b6b7f2a50cd1305dc1f = $(`<div id="html_1d8f47108a5f3b6b7f2a50cd1305dc1f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_d9e7569eba4864f6e7f83c6a5462baa0.setContent(html_1d8f47108a5f3b6b7f2a50cd1305dc1f);\n", " \n", "\n", - " circle_marker_982b6efc75da052f9a60de41bb4dbf9e.bindPopup(popup_fd1f28fcefacde0363e1bfcbc7e7bd23)\n", + " circle_marker_3115c0d72280dbbc4d6a707365aa799d.bindPopup(popup_d9e7569eba4864f6e7f83c6a5462baa0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_5ae7946c073eb880fc95637d5fe989df = L.circleMarker(\n", + " var circle_marker_b53b4ec3e7689a2560afd1b3e923ebbc = L.circleMarker(\n", " [37.737074528368524, -122.42323994562125],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_dea829faf3d3174b5d420c23916779d3 = L.popup({"maxWidth": "100%"});\n", + " var popup_5c37bfc1a58719969ae79edfdab9d6d4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_5c28ac9bf24486e5a44d847c870cd746 = $(`<div id="html_5c28ac9bf24486e5a44d847c870cd746" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_dea829faf3d3174b5d420c23916779d3.setContent(html_5c28ac9bf24486e5a44d847c870cd746);\n", + " var html_f4d3e4abd2d582c58f8ce16dc85ee52f = $(`<div id="html_f4d3e4abd2d582c58f8ce16dc85ee52f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_5c37bfc1a58719969ae79edfdab9d6d4.setContent(html_f4d3e4abd2d582c58f8ce16dc85ee52f);\n", " \n", "\n", - " circle_marker_5ae7946c073eb880fc95637d5fe989df.bindPopup(popup_dea829faf3d3174b5d420c23916779d3)\n", + " circle_marker_b53b4ec3e7689a2560afd1b3e923ebbc.bindPopup(popup_5c37bfc1a58719969ae79edfdab9d6d4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_5eff34d633251133f272559715ec3230 = L.circleMarker(\n", + " var circle_marker_787746669de7cd9dc561e9bc3ccc7cb5 = L.circleMarker(\n", " [37.74022473080378, -122.41188716363442],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c453d794d8aba15979970758a430e6c4 = L.popup({"maxWidth": "100%"});\n", + " var popup_fd07c89d733307532bc026400f7e392e = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2592d4be5a1667aa097b61330bbd8097 = $(`<div id="html_2592d4be5a1667aa097b61330bbd8097" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c453d794d8aba15979970758a430e6c4.setContent(html_2592d4be5a1667aa097b61330bbd8097);\n", + " var html_e22ad5821cf0eecd1af63728dccdb740 = $(`<div id="html_e22ad5821cf0eecd1af63728dccdb740" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_fd07c89d733307532bc026400f7e392e.setContent(html_e22ad5821cf0eecd1af63728dccdb740);\n", " \n", "\n", - " circle_marker_5eff34d633251133f272559715ec3230.bindPopup(popup_c453d794d8aba15979970758a430e6c4)\n", + " circle_marker_787746669de7cd9dc561e9bc3ccc7cb5.bindPopup(popup_fd07c89d733307532bc026400f7e392e)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ef17c56fa59087919d68f1f19377169f = L.circleMarker(\n", + " var circle_marker_27fba0780c2c42059d064f8a95a3f089 = L.circleMarker(\n", " [37.73992108767487, -122.4166609618889],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9e13424ec711ec65fda32225f68dfd83 = L.popup({"maxWidth": "100%"});\n", + " var popup_9f3ec02dd27fea0fe581b1f7c23e3aa2 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_7ab588e98775121a3e70512d61b4aac9 = $(`<div id="html_7ab588e98775121a3e70512d61b4aac9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9e13424ec711ec65fda32225f68dfd83.setContent(html_7ab588e98775121a3e70512d61b4aac9);\n", + " var html_ae77c1dd35d42660543a4a4c61a0966e = $(`<div id="html_ae77c1dd35d42660543a4a4c61a0966e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9f3ec02dd27fea0fe581b1f7c23e3aa2.setContent(html_ae77c1dd35d42660543a4a4c61a0966e);\n", " \n", "\n", - " circle_marker_ef17c56fa59087919d68f1f19377169f.bindPopup(popup_9e13424ec711ec65fda32225f68dfd83)\n", + " circle_marker_27fba0780c2c42059d064f8a95a3f089.bindPopup(popup_9f3ec02dd27fea0fe581b1f7c23e3aa2)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ab2d760c34e16c0265a24e60e6cf2792 = L.circleMarker(\n", + " var circle_marker_06a2415bd15bb5dc48f1a930b2e80ea7 = L.circleMarker(\n", " [37.735330127834594, -122.42451537332036],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_210e5ac9a5d40f7645e86b44e49c2718 = L.popup({"maxWidth": "100%"});\n", + " var popup_c1b8ddcc0cd63506fcb4134a255fcc25 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2d7111ad259c539804c4b89116c2f078 = $(`<div id="html_2d7111ad259c539804c4b89116c2f078" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_210e5ac9a5d40f7645e86b44e49c2718.setContent(html_2d7111ad259c539804c4b89116c2f078);\n", + " var html_40860676a2585e15723b6da7ca346348 = $(`<div id="html_40860676a2585e15723b6da7ca346348" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_c1b8ddcc0cd63506fcb4134a255fcc25.setContent(html_40860676a2585e15723b6da7ca346348);\n", " \n", "\n", - " circle_marker_ab2d760c34e16c0265a24e60e6cf2792.bindPopup(popup_210e5ac9a5d40f7645e86b44e49c2718)\n", + " circle_marker_06a2415bd15bb5dc48f1a930b2e80ea7.bindPopup(popup_c1b8ddcc0cd63506fcb4134a255fcc25)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_09b67c77e8b262f3345f2beb2a6af2fe = L.circleMarker(\n", + " var circle_marker_f948c4977bbc6bb3003f0c39adf06d38 = L.circleMarker(\n", " [37.73628248971779, -122.41180484101163],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_395d1118209898d7f23ccb4a18d2c169 = L.popup({"maxWidth": "100%"});\n", + " var popup_35f9a0a1c14fbf620ba4fc6298b7fb5a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_fbfc107424d188e909109ae5bd3abf63 = $(`<div id="html_fbfc107424d188e909109ae5bd3abf63" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_395d1118209898d7f23ccb4a18d2c169.setContent(html_fbfc107424d188e909109ae5bd3abf63);\n", + " var html_452184c2f16dfe738240576984c99ce5 = $(`<div id="html_452184c2f16dfe738240576984c99ce5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_35f9a0a1c14fbf620ba4fc6298b7fb5a.setContent(html_452184c2f16dfe738240576984c99ce5);\n", " \n", "\n", - " circle_marker_09b67c77e8b262f3345f2beb2a6af2fe.bindPopup(popup_395d1118209898d7f23ccb4a18d2c169)\n", + " circle_marker_f948c4977bbc6bb3003f0c39adf06d38.bindPopup(popup_35f9a0a1c14fbf620ba4fc6298b7fb5a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_df66f701ea642e2b66fed4951a20abf2 = L.circleMarker(\n", + " var circle_marker_0678d0795d62fd790773351de410d8c8 = L.circleMarker(\n", " [37.74417809964479, -122.42355414116491],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_dd0c47e4b25190d6983c60692a816534 = L.popup({"maxWidth": "100%"});\n", + " var popup_602a8ccc3bb05b2593566ab46455206e = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_44feb6a2d28d3f364d952731454e72d4 = $(`<div id="html_44feb6a2d28d3f364d952731454e72d4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_dd0c47e4b25190d6983c60692a816534.setContent(html_44feb6a2d28d3f364d952731454e72d4);\n", + " var html_2f60b7e7610a88cb73b1e5a93f8fe008 = $(`<div id="html_2f60b7e7610a88cb73b1e5a93f8fe008" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_602a8ccc3bb05b2593566ab46455206e.setContent(html_2f60b7e7610a88cb73b1e5a93f8fe008);\n", " \n", "\n", - " circle_marker_df66f701ea642e2b66fed4951a20abf2.bindPopup(popup_dd0c47e4b25190d6983c60692a816534)\n", + " circle_marker_0678d0795d62fd790773351de410d8c8.bindPopup(popup_602a8ccc3bb05b2593566ab46455206e)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_fc57a862c692f4f732dac3110548a7ac = L.circleMarker(\n", + " var circle_marker_0664550c611dd627e548616e0430e48b = L.circleMarker(\n", " [37.75226474936023, -122.40361589363022],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9b7e47354f9e6a2af85715565f1fe3d2 = L.popup({"maxWidth": "100%"});\n", + " var popup_b05c9ce1b2239e6adfa67df44115daa4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_817101da95a32a79212e9ada0b009113 = $(`<div id="html_817101da95a32a79212e9ada0b009113" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9b7e47354f9e6a2af85715565f1fe3d2.setContent(html_817101da95a32a79212e9ada0b009113);\n", + " var html_5ec67c1a1e8cd9cebc94945c2241442b = $(`<div id="html_5ec67c1a1e8cd9cebc94945c2241442b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b05c9ce1b2239e6adfa67df44115daa4.setContent(html_5ec67c1a1e8cd9cebc94945c2241442b);\n", " \n", "\n", - " circle_marker_fc57a862c692f4f732dac3110548a7ac.bindPopup(popup_9b7e47354f9e6a2af85715565f1fe3d2)\n", + " circle_marker_0664550c611dd627e548616e0430e48b.bindPopup(popup_b05c9ce1b2239e6adfa67df44115daa4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bb3ceec46a4c24b532876c1008eaf979 = L.circleMarker(\n", + " var circle_marker_b4705d3d922af08a30c516cfd6a51e81 = L.circleMarker(\n", " [37.735666491828425, -122.4213505852644],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_e571c58273b97bb5c16248c4d9e36919 = L.popup({"maxWidth": "100%"});\n", + " var popup_44ad036a83c3df734ebd2198a798c5e3 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_7ae704a7a0b18cf46fd014cf6cff4c17 = $(`<div id="html_7ae704a7a0b18cf46fd014cf6cff4c17" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_e571c58273b97bb5c16248c4d9e36919.setContent(html_7ae704a7a0b18cf46fd014cf6cff4c17);\n", + " var html_b0c6265c91064a843d2f014d5886298b = $(`<div id="html_b0c6265c91064a843d2f014d5886298b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_44ad036a83c3df734ebd2198a798c5e3.setContent(html_b0c6265c91064a843d2f014d5886298b);\n", " \n", "\n", - " circle_marker_bb3ceec46a4c24b532876c1008eaf979.bindPopup(popup_e571c58273b97bb5c16248c4d9e36919)\n", + " circle_marker_b4705d3d922af08a30c516cfd6a51e81.bindPopup(popup_44ad036a83c3df734ebd2198a798c5e3)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f1debc6b54bb2a4a287fa2218d9daf3f = L.circleMarker(\n", + " var circle_marker_9a584e6a74bd8bc45e6d8555d9fd45be = L.circleMarker(\n", " [37.73561618691874, -122.42100984111212],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_e038c137a45d42f94634b0ad328337a6 = L.popup({"maxWidth": "100%"});\n", + " var popup_74fc7cea9aba74840e2791c1cdcc898b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_549b5a3442a7318772349f44d5fb91eb = $(`<div id="html_549b5a3442a7318772349f44d5fb91eb" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_e038c137a45d42f94634b0ad328337a6.setContent(html_549b5a3442a7318772349f44d5fb91eb);\n", + " var html_9c4e00fee252d7b17ae512bf670da632 = $(`<div id="html_9c4e00fee252d7b17ae512bf670da632" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_74fc7cea9aba74840e2791c1cdcc898b.setContent(html_9c4e00fee252d7b17ae512bf670da632);\n", " \n", "\n", - " circle_marker_f1debc6b54bb2a4a287fa2218d9daf3f.bindPopup(popup_e038c137a45d42f94634b0ad328337a6)\n", + " circle_marker_9a584e6a74bd8bc45e6d8555d9fd45be.bindPopup(popup_74fc7cea9aba74840e2791c1cdcc898b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_cb41340fdeea7f8d7f9ad8552f6a0c82 = L.circleMarker(\n", + " var circle_marker_0a5802562091b5158ffc8f649644b21d = L.circleMarker(\n", " [37.74573767903614, -122.42045162186741],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_ec94b9bfe188855840f15cd8624503cb = L.popup({"maxWidth": "100%"});\n", + " var popup_383e09ea96126371b083abcfcb1bbc1f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e8cf4d0ce55d6b06b395a421b7d74940 = $(`<div id="html_e8cf4d0ce55d6b06b395a421b7d74940" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_ec94b9bfe188855840f15cd8624503cb.setContent(html_e8cf4d0ce55d6b06b395a421b7d74940);\n", + " var html_cff59e3b02b41aae63bc6cdc18b7a766 = $(`<div id="html_cff59e3b02b41aae63bc6cdc18b7a766" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_383e09ea96126371b083abcfcb1bbc1f.setContent(html_cff59e3b02b41aae63bc6cdc18b7a766);\n", " \n", "\n", - " circle_marker_cb41340fdeea7f8d7f9ad8552f6a0c82.bindPopup(popup_ec94b9bfe188855840f15cd8624503cb)\n", + " circle_marker_0a5802562091b5158ffc8f649644b21d.bindPopup(popup_383e09ea96126371b083abcfcb1bbc1f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_565d2ce924d1ba03a7f7645261151a84 = L.circleMarker(\n", + " var circle_marker_0897fd6ebf52d0d87b5c41e66b54af2d = L.circleMarker(\n", " [37.74063905928569, -122.4140979332363],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_352fba3f3cb3ae1ac87501ae5816004a = L.popup({"maxWidth": "100%"});\n", + " var popup_1338e3d6594b0147fcfda17ae6ccc13a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d9dea9217bab57b56c54199525b6b116 = $(`<div id="html_d9dea9217bab57b56c54199525b6b116" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_352fba3f3cb3ae1ac87501ae5816004a.setContent(html_d9dea9217bab57b56c54199525b6b116);\n", + " var html_01209ddcd8dd1b2d1d9635df9a593925 = $(`<div id="html_01209ddcd8dd1b2d1d9635df9a593925" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1338e3d6594b0147fcfda17ae6ccc13a.setContent(html_01209ddcd8dd1b2d1d9635df9a593925);\n", " \n", "\n", - " circle_marker_565d2ce924d1ba03a7f7645261151a84.bindPopup(popup_352fba3f3cb3ae1ac87501ae5816004a)\n", + " circle_marker_0897fd6ebf52d0d87b5c41e66b54af2d.bindPopup(popup_1338e3d6594b0147fcfda17ae6ccc13a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d03cab040a2bb35d4eb82a4909bb1889 = L.circleMarker(\n", + " var circle_marker_32c3d0e6b9cb42a15508faf287c8a443 = L.circleMarker(\n", " [37.73476727461245, -122.41520587274562],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6a2c8a79cc314f3b5973c54b1f973f65 = L.popup({"maxWidth": "100%"});\n", + " var popup_b97c44fbb37a1480a865a30816594ab0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f1b337048d29f0c412887d8447626239 = $(`<div id="html_f1b337048d29f0c412887d8447626239" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6a2c8a79cc314f3b5973c54b1f973f65.setContent(html_f1b337048d29f0c412887d8447626239);\n", + " var html_28e3edc4f1b353eaeef49ee4f151000b = $(`<div id="html_28e3edc4f1b353eaeef49ee4f151000b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b97c44fbb37a1480a865a30816594ab0.setContent(html_28e3edc4f1b353eaeef49ee4f151000b);\n", " \n", "\n", - " circle_marker_d03cab040a2bb35d4eb82a4909bb1889.bindPopup(popup_6a2c8a79cc314f3b5973c54b1f973f65)\n", + " circle_marker_32c3d0e6b9cb42a15508faf287c8a443.bindPopup(popup_b97c44fbb37a1480a865a30816594ab0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_840a917b215f07862f98b9c834291a09 = L.circleMarker(\n", + " var circle_marker_a23625123015e5d0c95023257411f648 = L.circleMarker(\n", " [37.76337653617459, -122.41385911135957],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c03fabba25090305c57b3037d0a22275 = L.popup({"maxWidth": "100%"});\n", + " var popup_68ac99dbcafe7f6444a32bb4b98f1e3d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_27352823e87677d774e30e92788366c7 = $(`<div id="html_27352823e87677d774e30e92788366c7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c03fabba25090305c57b3037d0a22275.setContent(html_27352823e87677d774e30e92788366c7);\n", + " var html_86a0c0577f8088da3a9ece7cb2597b2c = $(`<div id="html_86a0c0577f8088da3a9ece7cb2597b2c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_68ac99dbcafe7f6444a32bb4b98f1e3d.setContent(html_86a0c0577f8088da3a9ece7cb2597b2c);\n", " \n", "\n", - " circle_marker_840a917b215f07862f98b9c834291a09.bindPopup(popup_c03fabba25090305c57b3037d0a22275)\n", + " circle_marker_a23625123015e5d0c95023257411f648.bindPopup(popup_68ac99dbcafe7f6444a32bb4b98f1e3d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_49d86ed20bfef843f9c62e31f14e1071 = L.circleMarker(\n", + " var circle_marker_6f3a29c16abda9fd280440228a715a35 = L.circleMarker(\n", " [37.754407470692996, -122.42043665185116],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_601557fa31597fd44311dc007a1f115a = L.popup({"maxWidth": "100%"});\n", + " var popup_5b0b8556d92ced1aca99d57981b2ec13 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_9a5510f8c4ce53e685d5be57dd4b42ca = $(`<div id="html_9a5510f8c4ce53e685d5be57dd4b42ca" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_601557fa31597fd44311dc007a1f115a.setContent(html_9a5510f8c4ce53e685d5be57dd4b42ca);\n", + " var html_bb267070e49a5c2da381e79c953af477 = $(`<div id="html_bb267070e49a5c2da381e79c953af477" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_5b0b8556d92ced1aca99d57981b2ec13.setContent(html_bb267070e49a5c2da381e79c953af477);\n", " \n", "\n", - " circle_marker_49d86ed20bfef843f9c62e31f14e1071.bindPopup(popup_601557fa31597fd44311dc007a1f115a)\n", + " circle_marker_6f3a29c16abda9fd280440228a715a35.bindPopup(popup_5b0b8556d92ced1aca99d57981b2ec13)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c06732ce127aa57edc48de7c5d2e950f = L.circleMarker(\n", + " var circle_marker_c62baec9beaa165ac889f191fb49448a = L.circleMarker(\n", " [37.75608277408665, -122.4252097738284],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_0c8970e9db3e8e65e58e57e4243a3990 = L.popup({"maxWidth": "100%"});\n", + " var popup_78f31e1b52ce9345e182116a96027d46 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0642c2e1dc7933cffdcaca135a81f289 = $(`<div id="html_0642c2e1dc7933cffdcaca135a81f289" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_0c8970e9db3e8e65e58e57e4243a3990.setContent(html_0642c2e1dc7933cffdcaca135a81f289);\n", + " var html_9087da4b913ec65516d023f0be0a547b = $(`<div id="html_9087da4b913ec65516d023f0be0a547b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_78f31e1b52ce9345e182116a96027d46.setContent(html_9087da4b913ec65516d023f0be0a547b);\n", " \n", "\n", - " circle_marker_c06732ce127aa57edc48de7c5d2e950f.bindPopup(popup_0c8970e9db3e8e65e58e57e4243a3990)\n", + " circle_marker_c62baec9beaa165ac889f191fb49448a.bindPopup(popup_78f31e1b52ce9345e182116a96027d46)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bf89f1e458424f8eed6b8d0892177b62 = L.circleMarker(\n", + " var circle_marker_92d58e16b2bee68cb08dc7d163438873 = L.circleMarker(\n", " [37.73782393776602, -122.42118193788865],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f0ec042a25e150ed51cee8c37738ae50 = L.popup({"maxWidth": "100%"});\n", + " var popup_477c20bfe2c9d988e218abe91e96df07 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_fcee165b21c35562b7e26fd92423d25e = $(`<div id="html_fcee165b21c35562b7e26fd92423d25e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f0ec042a25e150ed51cee8c37738ae50.setContent(html_fcee165b21c35562b7e26fd92423d25e);\n", + " var html_5ba38c4bcd2e8c114ff270215e306ad8 = $(`<div id="html_5ba38c4bcd2e8c114ff270215e306ad8" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_477c20bfe2c9d988e218abe91e96df07.setContent(html_5ba38c4bcd2e8c114ff270215e306ad8);\n", " \n", "\n", - " circle_marker_bf89f1e458424f8eed6b8d0892177b62.bindPopup(popup_f0ec042a25e150ed51cee8c37738ae50)\n", + " circle_marker_92d58e16b2bee68cb08dc7d163438873.bindPopup(popup_477c20bfe2c9d988e218abe91e96df07)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_203a49a045621fcb71a91abd83652a37 = L.circleMarker(\n", + " var circle_marker_6d2758fce3fdfaa3539699aecd67f36a = L.circleMarker(\n", " [37.740797233065884, -122.41125572058564],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_a13bedf8d91503596376e9ca46bc7fb2 = L.popup({"maxWidth": "100%"});\n", + " var popup_6a6e1e794be999707866d210e946b5e6 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d6a5b5ce466e4d8f11bc0d451f2583c2 = $(`<div id="html_d6a5b5ce466e4d8f11bc0d451f2583c2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_a13bedf8d91503596376e9ca46bc7fb2.setContent(html_d6a5b5ce466e4d8f11bc0d451f2583c2);\n", + " var html_a263a23202e7bcb620e8e4ed863704e1 = $(`<div id="html_a263a23202e7bcb620e8e4ed863704e1" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_6a6e1e794be999707866d210e946b5e6.setContent(html_a263a23202e7bcb620e8e4ed863704e1);\n", " \n", "\n", - " circle_marker_203a49a045621fcb71a91abd83652a37.bindPopup(popup_a13bedf8d91503596376e9ca46bc7fb2)\n", + " circle_marker_6d2758fce3fdfaa3539699aecd67f36a.bindPopup(popup_6a6e1e794be999707866d210e946b5e6)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2b024e593d1e8a2e81407fdf5a8463d6 = L.circleMarker(\n", + " var circle_marker_f5456f6d71befd904c6e523f05f5603e = L.circleMarker(\n", " [37.76450303329318, -122.40978938157065],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f46a16adcdc19fd2fddd8de02cbd59d2 = L.popup({"maxWidth": "100%"});\n", + " var popup_0b105b771b9255a513eaf2f1deaeeded = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e5d9681dd6ddf228c62dc87560b67e19 = $(`<div id="html_e5d9681dd6ddf228c62dc87560b67e19" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f46a16adcdc19fd2fddd8de02cbd59d2.setContent(html_e5d9681dd6ddf228c62dc87560b67e19);\n", + " var html_d6d12b960a93bcf6af4e9a80ab891557 = $(`<div id="html_d6d12b960a93bcf6af4e9a80ab891557" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_0b105b771b9255a513eaf2f1deaeeded.setContent(html_d6d12b960a93bcf6af4e9a80ab891557);\n", " \n", "\n", - " circle_marker_2b024e593d1e8a2e81407fdf5a8463d6.bindPopup(popup_f46a16adcdc19fd2fddd8de02cbd59d2)\n", + " circle_marker_f5456f6d71befd904c6e523f05f5603e.bindPopup(popup_0b105b771b9255a513eaf2f1deaeeded)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_28b0db3f3f1a539af0a99cf8ba6fefd6 = L.circleMarker(\n", + " var circle_marker_387766c8439d9095c436189a1d39cb11 = L.circleMarker(\n", " [37.75128223638914, -122.42222086466421],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_440d96e291e4a019e419afc0feb16b0e = L.popup({"maxWidth": "100%"});\n", + " var popup_53cfa6af8c2a9f3014b4f65a498f8349 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f860d08df83e2bf67fbb4cf43f281de9 = $(`<div id="html_f860d08df83e2bf67fbb4cf43f281de9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_440d96e291e4a019e419afc0feb16b0e.setContent(html_f860d08df83e2bf67fbb4cf43f281de9);\n", + " var html_469ef7182b240a4443a0afa816352281 = $(`<div id="html_469ef7182b240a4443a0afa816352281" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_53cfa6af8c2a9f3014b4f65a498f8349.setContent(html_469ef7182b240a4443a0afa816352281);\n", " \n", "\n", - " circle_marker_28b0db3f3f1a539af0a99cf8ba6fefd6.bindPopup(popup_440d96e291e4a019e419afc0feb16b0e)\n", + " circle_marker_387766c8439d9095c436189a1d39cb11.bindPopup(popup_53cfa6af8c2a9f3014b4f65a498f8349)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a07337ae05caeb17f7de6e3f186b18d6 = L.circleMarker(\n", + " var circle_marker_7d952e2bfd9896dccda7601d67745f58 = L.circleMarker(\n", " [37.751148483269525, -122.41344777640442],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_5209bf1bc7c3df20c65f01dd9237fffc = L.popup({"maxWidth": "100%"});\n", + " var popup_b6811c1a90c3b84078fab1a91a55da5b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_8104caa25cc7fa529f1a76fb666589c1 = $(`<div id="html_8104caa25cc7fa529f1a76fb666589c1" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_5209bf1bc7c3df20c65f01dd9237fffc.setContent(html_8104caa25cc7fa529f1a76fb666589c1);\n", + " var html_a82f4fa9a936cdf7a9b46d261680312c = $(`<div id="html_a82f4fa9a936cdf7a9b46d261680312c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b6811c1a90c3b84078fab1a91a55da5b.setContent(html_a82f4fa9a936cdf7a9b46d261680312c);\n", " \n", "\n", - " circle_marker_a07337ae05caeb17f7de6e3f186b18d6.bindPopup(popup_5209bf1bc7c3df20c65f01dd9237fffc)\n", + " circle_marker_7d952e2bfd9896dccda7601d67745f58.bindPopup(popup_b6811c1a90c3b84078fab1a91a55da5b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2ae4f2887d6914f32933034c6c8d1e70 = L.circleMarker(\n", + " var circle_marker_92b4bf9f9aa11040cfd1dd6552fd8c97 = L.circleMarker(\n", " [37.76417974814643, -122.42287692579625],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_81b6a332b024b1bedbe7d1b741eda567 = L.popup({"maxWidth": "100%"});\n", + " var popup_495b7c059260f811739f6d97a727ca44 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e6c2a8a8ad51c4df2c607ecf78891db0 = $(`<div id="html_e6c2a8a8ad51c4df2c607ecf78891db0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_81b6a332b024b1bedbe7d1b741eda567.setContent(html_e6c2a8a8ad51c4df2c607ecf78891db0);\n", + " var html_46b05c7bb8b5adebb7315cf09c88ff49 = $(`<div id="html_46b05c7bb8b5adebb7315cf09c88ff49" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_495b7c059260f811739f6d97a727ca44.setContent(html_46b05c7bb8b5adebb7315cf09c88ff49);\n", " \n", "\n", - " circle_marker_2ae4f2887d6914f32933034c6c8d1e70.bindPopup(popup_81b6a332b024b1bedbe7d1b741eda567)\n", + " circle_marker_92b4bf9f9aa11040cfd1dd6552fd8c97.bindPopup(popup_495b7c059260f811739f6d97a727ca44)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_438c02625b671127a81761162d6e1150 = L.circleMarker(\n", + " var circle_marker_f159c7e0771b3eb4d1fef0bcace2d67a = L.circleMarker(\n", " [37.760537804214785, -122.41715126382405],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_1fc45f139b829ada3c06d51e52f9855e = L.popup({"maxWidth": "100%"});\n", + " var popup_40fe6bffa6c895e3075e8aaf88e2831d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_38fc0c2aaff4744f285d2a76a328473e = $(`<div id="html_38fc0c2aaff4744f285d2a76a328473e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_1fc45f139b829ada3c06d51e52f9855e.setContent(html_38fc0c2aaff4744f285d2a76a328473e);\n", + " var html_3786488628a17141f4a909849c41214b = $(`<div id="html_3786488628a17141f4a909849c41214b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_40fe6bffa6c895e3075e8aaf88e2831d.setContent(html_3786488628a17141f4a909849c41214b);\n", " \n", "\n", - " circle_marker_438c02625b671127a81761162d6e1150.bindPopup(popup_1fc45f139b829ada3c06d51e52f9855e)\n", + " circle_marker_f159c7e0771b3eb4d1fef0bcace2d67a.bindPopup(popup_40fe6bffa6c895e3075e8aaf88e2831d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_17718b021a60bfe3e24ac573c25ff056 = L.circleMarker(\n", + " var circle_marker_d5ca1a9643a3e0d9ee0850cf88c25568 = L.circleMarker(\n", " [37.74173662069288, -122.41070210763999],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_66cb5ed1342af046d5ffd0d39fadc813 = L.popup({"maxWidth": "100%"});\n", + " var popup_73af7a51ea2bb95f1aa258a915cba903 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d76364df63e91619ac8d0470c8f529fc = $(`<div id="html_d76364df63e91619ac8d0470c8f529fc" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_66cb5ed1342af046d5ffd0d39fadc813.setContent(html_d76364df63e91619ac8d0470c8f529fc);\n", + " var html_3a0161e4bbb99f478cf47462f9b43b7a = $(`<div id="html_3a0161e4bbb99f478cf47462f9b43b7a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_73af7a51ea2bb95f1aa258a915cba903.setContent(html_3a0161e4bbb99f478cf47462f9b43b7a);\n", " \n", "\n", - " circle_marker_17718b021a60bfe3e24ac573c25ff056.bindPopup(popup_66cb5ed1342af046d5ffd0d39fadc813)\n", + " circle_marker_d5ca1a9643a3e0d9ee0850cf88c25568.bindPopup(popup_73af7a51ea2bb95f1aa258a915cba903)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_437d51b57a3b15c5f977831ca31dbe42 = L.circleMarker(\n", + " var circle_marker_cda03729408e83232b9191bce0f758b1 = L.circleMarker(\n", " [37.74512952861252, -122.40778058291968],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_e1c1330e7e5a12938ceda0e5580b757f = L.popup({"maxWidth": "100%"});\n", + " var popup_4004246227f984897ef6ca44904b1051 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a2ad8332cf5b97e63ea17f334b1a2f0c = $(`<div id="html_a2ad8332cf5b97e63ea17f334b1a2f0c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_e1c1330e7e5a12938ceda0e5580b757f.setContent(html_a2ad8332cf5b97e63ea17f334b1a2f0c);\n", + " var html_f60e5b7c0785fe35d00c1065ba56feab = $(`<div id="html_f60e5b7c0785fe35d00c1065ba56feab" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_4004246227f984897ef6ca44904b1051.setContent(html_f60e5b7c0785fe35d00c1065ba56feab);\n", " \n", "\n", - " circle_marker_437d51b57a3b15c5f977831ca31dbe42.bindPopup(popup_e1c1330e7e5a12938ceda0e5580b757f)\n", + " circle_marker_cda03729408e83232b9191bce0f758b1.bindPopup(popup_4004246227f984897ef6ca44904b1051)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b0fa86654a00209dc586d947cba1968b = L.circleMarker(\n", + " var circle_marker_42dd92e323a3320ece9d2f43fd36faf9 = L.circleMarker(\n", " [37.75145743334203, -122.40606052669463],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_8d87d26ee1141b254ff8335277d240f3 = L.popup({"maxWidth": "100%"});\n", + " var popup_b7b6f0d75070d94495008887bfe3a72a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_fd7ef898945a05e51b426bff3a438f69 = $(`<div id="html_fd7ef898945a05e51b426bff3a438f69" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_8d87d26ee1141b254ff8335277d240f3.setContent(html_fd7ef898945a05e51b426bff3a438f69);\n", + " var html_8faa5fd73b41f13d4ed048947caac76b = $(`<div id="html_8faa5fd73b41f13d4ed048947caac76b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b7b6f0d75070d94495008887bfe3a72a.setContent(html_8faa5fd73b41f13d4ed048947caac76b);\n", " \n", "\n", - " circle_marker_b0fa86654a00209dc586d947cba1968b.bindPopup(popup_8d87d26ee1141b254ff8335277d240f3)\n", + " circle_marker_42dd92e323a3320ece9d2f43fd36faf9.bindPopup(popup_b7b6f0d75070d94495008887bfe3a72a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_5227efaed5e08cc0c716bf960a1114d9 = L.circleMarker(\n", + " var circle_marker_e6c5b5e9796a8385976e4a422cc280bb = L.circleMarker(\n", " [37.75526782189698, -122.40604437109245],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_cd4963f0ce01be4bec7f22d58b811bc5 = L.popup({"maxWidth": "100%"});\n", + " var popup_a188aa57e9e4ba2e31202e44533a54f4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a2eca4b49004e132ca21e31caa02476f = $(`<div id="html_a2eca4b49004e132ca21e31caa02476f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_cd4963f0ce01be4bec7f22d58b811bc5.setContent(html_a2eca4b49004e132ca21e31caa02476f);\n", + " var html_d7d7d5a1fc33c7679435eace35194c45 = $(`<div id="html_d7d7d5a1fc33c7679435eace35194c45" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a188aa57e9e4ba2e31202e44533a54f4.setContent(html_d7d7d5a1fc33c7679435eace35194c45);\n", " \n", "\n", - " circle_marker_5227efaed5e08cc0c716bf960a1114d9.bindPopup(popup_cd4963f0ce01be4bec7f22d58b811bc5)\n", + " circle_marker_e6c5b5e9796a8385976e4a422cc280bb.bindPopup(popup_a188aa57e9e4ba2e31202e44533a54f4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4c926cde6563b3fb776a4ac3f74ae363 = L.circleMarker(\n", + " var circle_marker_050afe7d07013b8449a084a64cfad7e2 = L.circleMarker(\n", " [37.74871935743222, -122.41004340162493],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_30abf5d0e2e2ce3ac46c02c5f5b9b992 = L.popup({"maxWidth": "100%"});\n", + " var popup_1bceeacc5da51b3680e404faaa11b528 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f1cf97f1e4dcc05fedff5f7f2ff96be8 = $(`<div id="html_f1cf97f1e4dcc05fedff5f7f2ff96be8" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_30abf5d0e2e2ce3ac46c02c5f5b9b992.setContent(html_f1cf97f1e4dcc05fedff5f7f2ff96be8);\n", + " var html_eac3faa0ebd9fd9d5198200e3e9c61ca = $(`<div id="html_eac3faa0ebd9fd9d5198200e3e9c61ca" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1bceeacc5da51b3680e404faaa11b528.setContent(html_eac3faa0ebd9fd9d5198200e3e9c61ca);\n", " \n", "\n", - " circle_marker_4c926cde6563b3fb776a4ac3f74ae363.bindPopup(popup_30abf5d0e2e2ce3ac46c02c5f5b9b992)\n", + " circle_marker_050afe7d07013b8449a084a64cfad7e2.bindPopup(popup_1bceeacc5da51b3680e404faaa11b528)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_587f0a1933af2c86983cfb44d3d50e2a = L.circleMarker(\n", + " var circle_marker_edda6d2e52642e731c0ec87a559fe73c = L.circleMarker(\n", " [37.75360537634322, -122.40414432663103],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_fc301154939e98f7c266ffe9eb748396 = L.popup({"maxWidth": "100%"});\n", + " var popup_b1553d235e64c8fe1427719ba3e9dcba = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_5be034904dfae4f3bd9c9f3e014cbfd0 = $(`<div id="html_5be034904dfae4f3bd9c9f3e014cbfd0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_fc301154939e98f7c266ffe9eb748396.setContent(html_5be034904dfae4f3bd9c9f3e014cbfd0);\n", + " var html_52fcb43a7e22cf12f5745757b4e5f95a = $(`<div id="html_52fcb43a7e22cf12f5745757b4e5f95a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b1553d235e64c8fe1427719ba3e9dcba.setContent(html_52fcb43a7e22cf12f5745757b4e5f95a);\n", " \n", "\n", - " circle_marker_587f0a1933af2c86983cfb44d3d50e2a.bindPopup(popup_fc301154939e98f7c266ffe9eb748396)\n", + " circle_marker_edda6d2e52642e731c0ec87a559fe73c.bindPopup(popup_b1553d235e64c8fe1427719ba3e9dcba)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e49c91362e8032a8a1aa35ddce156f0a = L.circleMarker(\n", + " var circle_marker_70bc2994e89b619b8042dcfaf9e75cd7 = L.circleMarker(\n", " [37.75231775479745, -122.41774596037905],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c918e94a2805c44e9bcebfca8625a20f = L.popup({"maxWidth": "100%"});\n", + " var popup_ddd529ca9b68bc76d5736d14538d9b10 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_8bcd1a183f389027cee59ce967953174 = $(`<div id="html_8bcd1a183f389027cee59ce967953174" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c918e94a2805c44e9bcebfca8625a20f.setContent(html_8bcd1a183f389027cee59ce967953174);\n", + " var html_ec80466b7f4caee70976c8e3f3e9b2ae = $(`<div id="html_ec80466b7f4caee70976c8e3f3e9b2ae" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ddd529ca9b68bc76d5736d14538d9b10.setContent(html_ec80466b7f4caee70976c8e3f3e9b2ae);\n", " \n", "\n", - " circle_marker_e49c91362e8032a8a1aa35ddce156f0a.bindPopup(popup_c918e94a2805c44e9bcebfca8625a20f)\n", + " circle_marker_70bc2994e89b619b8042dcfaf9e75cd7.bindPopup(popup_ddd529ca9b68bc76d5736d14538d9b10)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_02a4da98a1c62d39716fab0ac93f2299 = L.circleMarker(\n", + " var circle_marker_c0e1c3f2e7c5c203405410b3ff56cc1a = L.circleMarker(\n", " [37.74148457789174, -122.41170660507584],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_84ba8c9bf596cac31bf2f6f1bb52edda = L.popup({"maxWidth": "100%"});\n", + " var popup_df8f25d8b4f4052057f58a4eafbd6b51 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ae0e546845eeae3abedbcaead4222f19 = $(`<div id="html_ae0e546845eeae3abedbcaead4222f19" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_84ba8c9bf596cac31bf2f6f1bb52edda.setContent(html_ae0e546845eeae3abedbcaead4222f19);\n", + " var html_342e4ee1832cce717d607f52621c5a29 = $(`<div id="html_342e4ee1832cce717d607f52621c5a29" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_df8f25d8b4f4052057f58a4eafbd6b51.setContent(html_342e4ee1832cce717d607f52621c5a29);\n", " \n", "\n", - " circle_marker_02a4da98a1c62d39716fab0ac93f2299.bindPopup(popup_84ba8c9bf596cac31bf2f6f1bb52edda)\n", + " circle_marker_c0e1c3f2e7c5c203405410b3ff56cc1a.bindPopup(popup_df8f25d8b4f4052057f58a4eafbd6b51)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_cb451374de0d1ce94280cdae4f591483 = L.circleMarker(\n", + " var circle_marker_eea66f033ff422c631213cf633462801 = L.circleMarker(\n", " [37.746234470469986, -122.41278399769651],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_7ca89e8f5228964ff928edf56bc05ade = L.popup({"maxWidth": "100%"});\n", + " var popup_d61dec63286c0b97504a570630738ff6 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2a1d068c4a9fd71f98728ee66e92acef = $(`<div id="html_2a1d068c4a9fd71f98728ee66e92acef" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_7ca89e8f5228964ff928edf56bc05ade.setContent(html_2a1d068c4a9fd71f98728ee66e92acef);\n", + " var html_3f70cf70594ec58a12c554f4654c141d = $(`<div id="html_3f70cf70594ec58a12c554f4654c141d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_d61dec63286c0b97504a570630738ff6.setContent(html_3f70cf70594ec58a12c554f4654c141d);\n", " \n", "\n", - " circle_marker_cb451374de0d1ce94280cdae4f591483.bindPopup(popup_7ca89e8f5228964ff928edf56bc05ade)\n", + " circle_marker_eea66f033ff422c631213cf633462801.bindPopup(popup_d61dec63286c0b97504a570630738ff6)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_da2e29d79b05725d8552437c64bcb72a = L.circleMarker(\n", + " var circle_marker_f50824579516ffef72a2a21e11852225 = L.circleMarker(\n", " [37.751786210327225, -122.41401197674212],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_ec53b64c2860195886dc4782a9d20894 = L.popup({"maxWidth": "100%"});\n", + " var popup_4f6abc7b5b74d52290a6c0a40abcd01b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_225bfd71d6043540bf0e884ca7051cb5 = $(`<div id="html_225bfd71d6043540bf0e884ca7051cb5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_ec53b64c2860195886dc4782a9d20894.setContent(html_225bfd71d6043540bf0e884ca7051cb5);\n", + " var html_7a924b778bf5e3f6897b8ed72956eb03 = $(`<div id="html_7a924b778bf5e3f6897b8ed72956eb03" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_4f6abc7b5b74d52290a6c0a40abcd01b.setContent(html_7a924b778bf5e3f6897b8ed72956eb03);\n", " \n", "\n", - " circle_marker_da2e29d79b05725d8552437c64bcb72a.bindPopup(popup_ec53b64c2860195886dc4782a9d20894)\n", + " circle_marker_f50824579516ffef72a2a21e11852225.bindPopup(popup_4f6abc7b5b74d52290a6c0a40abcd01b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7eb9ca23c61e63f86aa487a4e4399576 = L.circleMarker(\n", + " var circle_marker_d988a5cedb509d3a9e2a1adff6b92ce6 = L.circleMarker(\n", " [37.75392082167846, -122.4139005439404],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_44c1928dee6453379d485cc28b9d648f = L.popup({"maxWidth": "100%"});\n", + " var popup_a1663d42d7188a8af4a309b1e74da47d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_80b40bcefc47ddc08b79b3b50889ccf2 = $(`<div id="html_80b40bcefc47ddc08b79b3b50889ccf2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_44c1928dee6453379d485cc28b9d648f.setContent(html_80b40bcefc47ddc08b79b3b50889ccf2);\n", + " var html_8a505cea9ce881d3e6eb490e60950176 = $(`<div id="html_8a505cea9ce881d3e6eb490e60950176" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a1663d42d7188a8af4a309b1e74da47d.setContent(html_8a505cea9ce881d3e6eb490e60950176);\n", " \n", "\n", - " circle_marker_7eb9ca23c61e63f86aa487a4e4399576.bindPopup(popup_44c1928dee6453379d485cc28b9d648f)\n", + " circle_marker_d988a5cedb509d3a9e2a1adff6b92ce6.bindPopup(popup_a1663d42d7188a8af4a309b1e74da47d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_64a82c71232f9fd9b1e6b3b876a0b02b = L.circleMarker(\n", + " var circle_marker_a54021d84b7e83465e6782a3c2c1330c = L.circleMarker(\n", " [37.74632521857674, -122.41191284883185],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_39e98855e98c868523d4d73923e0b0b5 = L.popup({"maxWidth": "100%"});\n", + " var popup_055e37b848a69c9357ec95c09381eb14 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_afe9c064f99396109ac36eba612b27d0 = $(`<div id="html_afe9c064f99396109ac36eba612b27d0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_39e98855e98c868523d4d73923e0b0b5.setContent(html_afe9c064f99396109ac36eba612b27d0);\n", + " var html_e98e857c13d5b4f11d1a9555e575293b = $(`<div id="html_e98e857c13d5b4f11d1a9555e575293b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_055e37b848a69c9357ec95c09381eb14.setContent(html_e98e857c13d5b4f11d1a9555e575293b);\n", " \n", "\n", - " circle_marker_64a82c71232f9fd9b1e6b3b876a0b02b.bindPopup(popup_39e98855e98c868523d4d73923e0b0b5)\n", + " circle_marker_a54021d84b7e83465e6782a3c2c1330c.bindPopup(popup_055e37b848a69c9357ec95c09381eb14)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ca6b8953cc6a031a2d094f09d6e72207 = L.circleMarker(\n", + " var circle_marker_0a2cd02a2fa55acd83df7ee9b39ec413 = L.circleMarker(\n", " [37.744138258925396, -122.40566585519643],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_2dfc44b550f034419df78712fe575c05 = L.popup({"maxWidth": "100%"});\n", + " var popup_fafd4b756277239e3efc3adc2f278d0e = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ffba94fa63a711469f661e5401fe43d8 = $(`<div id="html_ffba94fa63a711469f661e5401fe43d8" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_2dfc44b550f034419df78712fe575c05.setContent(html_ffba94fa63a711469f661e5401fe43d8);\n", + " var html_9bd498e2b2a94f6d091fbea6e9965b3b = $(`<div id="html_9bd498e2b2a94f6d091fbea6e9965b3b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_fafd4b756277239e3efc3adc2f278d0e.setContent(html_9bd498e2b2a94f6d091fbea6e9965b3b);\n", " \n", "\n", - " circle_marker_ca6b8953cc6a031a2d094f09d6e72207.bindPopup(popup_2dfc44b550f034419df78712fe575c05)\n", + " circle_marker_0a2cd02a2fa55acd83df7ee9b39ec413.bindPopup(popup_fafd4b756277239e3efc3adc2f278d0e)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e1cac47086b5b24a47f139459141a76b = L.circleMarker(\n", + " var circle_marker_8f7c694b9e6a7d141a019cc95c172e4c = L.circleMarker(\n", " [37.76209659106257, -122.41743903596992],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_344382ff9587765869b2b801ce4ade0b = L.popup({"maxWidth": "100%"});\n", + " var popup_ff0a267d5186c3aae3dd57a49677e04d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2bb3a7bc21358a073934bbce271202d4 = $(`<div id="html_2bb3a7bc21358a073934bbce271202d4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_344382ff9587765869b2b801ce4ade0b.setContent(html_2bb3a7bc21358a073934bbce271202d4);\n", + " var html_2bde68acde13f35e6f2926a7bdcfd2c3 = $(`<div id="html_2bde68acde13f35e6f2926a7bdcfd2c3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ff0a267d5186c3aae3dd57a49677e04d.setContent(html_2bde68acde13f35e6f2926a7bdcfd2c3);\n", " \n", "\n", - " circle_marker_e1cac47086b5b24a47f139459141a76b.bindPopup(popup_344382ff9587765869b2b801ce4ade0b)\n", + " circle_marker_8f7c694b9e6a7d141a019cc95c172e4c.bindPopup(popup_ff0a267d5186c3aae3dd57a49677e04d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e499e1312d5c4941f4bbe64f43456b70 = L.circleMarker(\n", + " var circle_marker_b97bb0f84bb77670c9ac9d6324bf90f1 = L.circleMarker(\n", " [37.755656776209086, -122.40797490641594],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_11b5234bc806ad166c4a0d933f858988 = L.popup({"maxWidth": "100%"});\n", + " var popup_06b4b7f03d45758f4f028a56425fe8e2 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_7a60cee1110fc5f7cfaf063cf68c01a7 = $(`<div id="html_7a60cee1110fc5f7cfaf063cf68c01a7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_11b5234bc806ad166c4a0d933f858988.setContent(html_7a60cee1110fc5f7cfaf063cf68c01a7);\n", + " var html_a60c80b715fe71ff4a815c1f2aecd938 = $(`<div id="html_a60c80b715fe71ff4a815c1f2aecd938" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_06b4b7f03d45758f4f028a56425fe8e2.setContent(html_a60c80b715fe71ff4a815c1f2aecd938);\n", " \n", "\n", - " circle_marker_e499e1312d5c4941f4bbe64f43456b70.bindPopup(popup_11b5234bc806ad166c4a0d933f858988)\n", + " circle_marker_b97bb0f84bb77670c9ac9d6324bf90f1.bindPopup(popup_06b4b7f03d45758f4f028a56425fe8e2)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c54f079eedfb5b0354de8a3d321807a0 = L.circleMarker(\n", + " var circle_marker_5972e02e7d8346931ec2592a25467644 = L.circleMarker(\n", " [37.76304044055552, -122.42601660166785],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_e9a33f8d1b936b7b9237a4b9be4fe252 = L.popup({"maxWidth": "100%"});\n", + " var popup_1174b0256f7d189181afa93e059b1e0c = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_70baad87e128d532b2ff465de391eefe = $(`<div id="html_70baad87e128d532b2ff465de391eefe" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_e9a33f8d1b936b7b9237a4b9be4fe252.setContent(html_70baad87e128d532b2ff465de391eefe);\n", + " var html_331f819cd7a63824a9ac51989487f52d = $(`<div id="html_331f819cd7a63824a9ac51989487f52d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1174b0256f7d189181afa93e059b1e0c.setContent(html_331f819cd7a63824a9ac51989487f52d);\n", " \n", "\n", - " circle_marker_c54f079eedfb5b0354de8a3d321807a0.bindPopup(popup_e9a33f8d1b936b7b9237a4b9be4fe252)\n", + " circle_marker_5972e02e7d8346931ec2592a25467644.bindPopup(popup_1174b0256f7d189181afa93e059b1e0c)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7ce4f1ad2b0313507c8ead9b73bbb385 = L.circleMarker(\n", + " var circle_marker_79c9eb4945a4ad331551d96e576df59b = L.circleMarker(\n", " [37.76128158121274, -122.42475869912616],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_1e6cb573c30f10bbaa6d408be4f4a55c = L.popup({"maxWidth": "100%"});\n", + " var popup_bc489218d66d52b72f63c5f7137e5de4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_698dfe40ecfc05a110a15559dd39864a = $(`<div id="html_698dfe40ecfc05a110a15559dd39864a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_1e6cb573c30f10bbaa6d408be4f4a55c.setContent(html_698dfe40ecfc05a110a15559dd39864a);\n", + " var html_5fb288936978a46d1fcc3a51ad627075 = $(`<div id="html_5fb288936978a46d1fcc3a51ad627075" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_bc489218d66d52b72f63c5f7137e5de4.setContent(html_5fb288936978a46d1fcc3a51ad627075);\n", " \n", "\n", - " circle_marker_7ce4f1ad2b0313507c8ead9b73bbb385.bindPopup(popup_1e6cb573c30f10bbaa6d408be4f4a55c)\n", + " circle_marker_79c9eb4945a4ad331551d96e576df59b.bindPopup(popup_bc489218d66d52b72f63c5f7137e5de4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_497ba6defe9eb974ecd1cb06abb845c3 = L.circleMarker(\n", + " var circle_marker_2bfb06e7864259125db9b36369e09644 = L.circleMarker(\n", " [37.75263168395759, -122.42442533056142],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_a35f6ce219faef6254620cd4eeb56a4d = L.popup({"maxWidth": "100%"});\n", + " var popup_fad3d3a7ea4527a8de44c94c81d4924f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_621b9ed5c6d06c5db5f2faf1972332aa = $(`<div id="html_621b9ed5c6d06c5db5f2faf1972332aa" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_a35f6ce219faef6254620cd4eeb56a4d.setContent(html_621b9ed5c6d06c5db5f2faf1972332aa);\n", + " var html_c7ab850300c6d78f1db57582b3864c08 = $(`<div id="html_c7ab850300c6d78f1db57582b3864c08" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_fad3d3a7ea4527a8de44c94c81d4924f.setContent(html_c7ab850300c6d78f1db57582b3864c08);\n", " \n", "\n", - " circle_marker_497ba6defe9eb974ecd1cb06abb845c3.bindPopup(popup_a35f6ce219faef6254620cd4eeb56a4d)\n", + " circle_marker_2bfb06e7864259125db9b36369e09644.bindPopup(popup_fad3d3a7ea4527a8de44c94c81d4924f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0194c594e63ee3b36b428114b2db61b3 = L.circleMarker(\n", + " var circle_marker_6242e0ce7f75f8f131b6f3348b54b4e6 = L.circleMarker(\n", " [37.76059258583783, -122.4254136565183],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_7a2193bc5db1dc857c8963d5184a9feb = L.popup({"maxWidth": "100%"});\n", + " var popup_65b9af84226cb34f984f9d20e058caed = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_b1f5f7297948a2828c822c3ad718ffa0 = $(`<div id="html_b1f5f7297948a2828c822c3ad718ffa0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_7a2193bc5db1dc857c8963d5184a9feb.setContent(html_b1f5f7297948a2828c822c3ad718ffa0);\n", + " var html_8b4de873d73d7155f55447f763e49354 = $(`<div id="html_8b4de873d73d7155f55447f763e49354" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_65b9af84226cb34f984f9d20e058caed.setContent(html_8b4de873d73d7155f55447f763e49354);\n", " \n", "\n", - " circle_marker_0194c594e63ee3b36b428114b2db61b3.bindPopup(popup_7a2193bc5db1dc857c8963d5184a9feb)\n", + " circle_marker_6242e0ce7f75f8f131b6f3348b54b4e6.bindPopup(popup_65b9af84226cb34f984f9d20e058caed)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_431e38b53fe70f8b578a10a47b4f0cc1 = L.circleMarker(\n", + " var circle_marker_2632948a703a34e525678d9eb5d770ba = L.circleMarker(\n", " [37.75104056209607, -122.40794615669083],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4d334d1a122ae72320694b9eb26af06e = L.popup({"maxWidth": "100%"});\n", + " var popup_9c2e8cb99085b5fdc4b6b4640ad8f658 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_698148d1df74f05389e594297fe297b9 = $(`<div id="html_698148d1df74f05389e594297fe297b9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4d334d1a122ae72320694b9eb26af06e.setContent(html_698148d1df74f05389e594297fe297b9);\n", + " var html_7f246df4c3747b65a0d87423b904606d = $(`<div id="html_7f246df4c3747b65a0d87423b904606d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9c2e8cb99085b5fdc4b6b4640ad8f658.setContent(html_7f246df4c3747b65a0d87423b904606d);\n", " \n", "\n", - " circle_marker_431e38b53fe70f8b578a10a47b4f0cc1.bindPopup(popup_4d334d1a122ae72320694b9eb26af06e)\n", + " circle_marker_2632948a703a34e525678d9eb5d770ba.bindPopup(popup_9c2e8cb99085b5fdc4b6b4640ad8f658)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_af38d66bf8cd82f34f4f056506879feb = L.circleMarker(\n", + " var circle_marker_fce7f6fdd270de7443427175e5617a9f = L.circleMarker(\n", " [37.73391883126035, -122.4181720236561],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_0e11e5cf1fae0daa0934a56ee77d94b0 = L.popup({"maxWidth": "100%"});\n", + " var popup_b3ce944eb64cc93d81595f5bc9c9cea0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_1a2a093f29393c3be875179e65ae716a = $(`<div id="html_1a2a093f29393c3be875179e65ae716a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_0e11e5cf1fae0daa0934a56ee77d94b0.setContent(html_1a2a093f29393c3be875179e65ae716a);\n", + " var html_556006d4a7281c5a2743d72a886dfccf = $(`<div id="html_556006d4a7281c5a2743d72a886dfccf" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b3ce944eb64cc93d81595f5bc9c9cea0.setContent(html_556006d4a7281c5a2743d72a886dfccf);\n", " \n", "\n", - " circle_marker_af38d66bf8cd82f34f4f056506879feb.bindPopup(popup_0e11e5cf1fae0daa0934a56ee77d94b0)\n", + " circle_marker_fce7f6fdd270de7443427175e5617a9f.bindPopup(popup_b3ce944eb64cc93d81595f5bc9c9cea0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f2b66470696f7f14b56b21a50b892971 = L.circleMarker(\n", + " var circle_marker_9edb577c5df20bb8a8287c16595ca66e = L.circleMarker(\n", " [37.747082929796356, -122.41075451027352],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9212f9a7ee6a96a7c4968fae1dbd6a7d = L.popup({"maxWidth": "100%"});\n", + " var popup_0cded0a9561fcbd72cb6fa1ca64eedc9 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d625b7dd551df99dd23ba649f625396d = $(`<div id="html_d625b7dd551df99dd23ba649f625396d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9212f9a7ee6a96a7c4968fae1dbd6a7d.setContent(html_d625b7dd551df99dd23ba649f625396d);\n", + " var html_676c10b28b2ac7fc465c1840b4f07de1 = $(`<div id="html_676c10b28b2ac7fc465c1840b4f07de1" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_0cded0a9561fcbd72cb6fa1ca64eedc9.setContent(html_676c10b28b2ac7fc465c1840b4f07de1);\n", " \n", "\n", - " circle_marker_f2b66470696f7f14b56b21a50b892971.bindPopup(popup_9212f9a7ee6a96a7c4968fae1dbd6a7d)\n", + " circle_marker_9edb577c5df20bb8a8287c16595ca66e.bindPopup(popup_0cded0a9561fcbd72cb6fa1ca64eedc9)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7cf1334b4eda64622a22be7c3fac34b9 = L.circleMarker(\n", + " var circle_marker_f7826f2f61f0182d07e9b0c1f4746f92 = L.circleMarker(\n", " [37.7612218618984, -122.41012514709995],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_dc64f2f94843dba80d014fd194dcef1a = L.popup({"maxWidth": "100%"});\n", + " var popup_6f28539273b2fa07f125e3ea13a2ea4d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_7e7ca3a90087e67d13d5b7cc7135a004 = $(`<div id="html_7e7ca3a90087e67d13d5b7cc7135a004" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_dc64f2f94843dba80d014fd194dcef1a.setContent(html_7e7ca3a90087e67d13d5b7cc7135a004);\n", + " var html_969de175cd70bffe0c5f42b9db74429a = $(`<div id="html_969de175cd70bffe0c5f42b9db74429a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_6f28539273b2fa07f125e3ea13a2ea4d.setContent(html_969de175cd70bffe0c5f42b9db74429a);\n", " \n", "\n", - " circle_marker_7cf1334b4eda64622a22be7c3fac34b9.bindPopup(popup_dc64f2f94843dba80d014fd194dcef1a)\n", + " circle_marker_f7826f2f61f0182d07e9b0c1f4746f92.bindPopup(popup_6f28539273b2fa07f125e3ea13a2ea4d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_942f69f4d623f7e782e85841ec048944 = L.circleMarker(\n", + " var circle_marker_31c2edd53f69f7ce14f0b8c9e36cd24a = L.circleMarker(\n", " [37.73742797318685, -122.4099223611867],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_576b4f1a203b0bf680b9bccd5269bb5f = L.popup({"maxWidth": "100%"});\n", + " var popup_fdf670cb807b65ecb5ef74e3081f1611 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2a5540dd128a9ced964a76e333bfdcd4 = $(`<div id="html_2a5540dd128a9ced964a76e333bfdcd4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_576b4f1a203b0bf680b9bccd5269bb5f.setContent(html_2a5540dd128a9ced964a76e333bfdcd4);\n", + " var html_baa0d13731edf7ac587416af515bb454 = $(`<div id="html_baa0d13731edf7ac587416af515bb454" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_fdf670cb807b65ecb5ef74e3081f1611.setContent(html_baa0d13731edf7ac587416af515bb454);\n", " \n", "\n", - " circle_marker_942f69f4d623f7e782e85841ec048944.bindPopup(popup_576b4f1a203b0bf680b9bccd5269bb5f)\n", + " circle_marker_31c2edd53f69f7ce14f0b8c9e36cd24a.bindPopup(popup_fdf670cb807b65ecb5ef74e3081f1611)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d1874c278995b7bc943299eebbc59044 = L.circleMarker(\n", + " var circle_marker_812dbe343c491cba9b40f7eba243fe1c = L.circleMarker(\n", " [37.73341096742464, -122.41526238849185],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_d115573d35ec74fad645cd7f68ef065b = L.popup({"maxWidth": "100%"});\n", + " var popup_1cf5868f31bb83d7847e05c4b608db39 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_971d537c434a00fb208caa2de21bbece = $(`<div id="html_971d537c434a00fb208caa2de21bbece" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_d115573d35ec74fad645cd7f68ef065b.setContent(html_971d537c434a00fb208caa2de21bbece);\n", + " var html_0302224c87bb22b64b0a22a8b9e30eca = $(`<div id="html_0302224c87bb22b64b0a22a8b9e30eca" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1cf5868f31bb83d7847e05c4b608db39.setContent(html_0302224c87bb22b64b0a22a8b9e30eca);\n", " \n", "\n", - " circle_marker_d1874c278995b7bc943299eebbc59044.bindPopup(popup_d115573d35ec74fad645cd7f68ef065b)\n", + " circle_marker_812dbe343c491cba9b40f7eba243fe1c.bindPopup(popup_1cf5868f31bb83d7847e05c4b608db39)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_763061accd7d3e4715d3a91d9f1cc6a2 = L.circleMarker(\n", + " var circle_marker_147c1cd533f1c3016b1eb7b2c9783463 = L.circleMarker(\n", " [37.73218433441669, -122.42346688880976],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_34a442317fd1c7682debf4a09bf2980c = L.popup({"maxWidth": "100%"});\n", + " var popup_26bf4fd449d2ab3c6e7acb3b6324f33b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d10b12c0de41d68927fdea6cbe48ec34 = $(`<div id="html_d10b12c0de41d68927fdea6cbe48ec34" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_34a442317fd1c7682debf4a09bf2980c.setContent(html_d10b12c0de41d68927fdea6cbe48ec34);\n", + " var html_446eddaade78752cb61a4cee406f47b7 = $(`<div id="html_446eddaade78752cb61a4cee406f47b7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_26bf4fd449d2ab3c6e7acb3b6324f33b.setContent(html_446eddaade78752cb61a4cee406f47b7);\n", " \n", "\n", - " circle_marker_763061accd7d3e4715d3a91d9f1cc6a2.bindPopup(popup_34a442317fd1c7682debf4a09bf2980c)\n", + " circle_marker_147c1cd533f1c3016b1eb7b2c9783463.bindPopup(popup_26bf4fd449d2ab3c6e7acb3b6324f33b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_79ba91455c38154b615faa12152b22f8 = L.circleMarker(\n", + " var circle_marker_cc29a868bcf0ba8e7d456689ccc928b4 = L.circleMarker(\n", " [37.73921897271669, -122.408294261493],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_d9dc12c0b8a465ff2459e47a9ced0f46 = L.popup({"maxWidth": "100%"});\n", + " var popup_a062b291e399272d4760855d0697df40 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_be98f08fc743f08f0860a753efcde7f3 = $(`<div id="html_be98f08fc743f08f0860a753efcde7f3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_d9dc12c0b8a465ff2459e47a9ced0f46.setContent(html_be98f08fc743f08f0860a753efcde7f3);\n", + " var html_f3ab7d9a8b8160b91e68d2bb304902c5 = $(`<div id="html_f3ab7d9a8b8160b91e68d2bb304902c5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a062b291e399272d4760855d0697df40.setContent(html_f3ab7d9a8b8160b91e68d2bb304902c5);\n", " \n", "\n", - " circle_marker_79ba91455c38154b615faa12152b22f8.bindPopup(popup_d9dc12c0b8a465ff2459e47a9ced0f46)\n", + " circle_marker_cc29a868bcf0ba8e7d456689ccc928b4.bindPopup(popup_a062b291e399272d4760855d0697df40)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_6ef312545a37f0fb82bbb9a51b6f38b0 = L.circleMarker(\n", + " var circle_marker_aa01a8cde18f81593cccaeda7c2384aa = L.circleMarker(\n", " [37.763334928138605, -122.41975219244812],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_92458f313d067ce6d1d1ec1259da6ae8 = L.popup({"maxWidth": "100%"});\n", + " var popup_4333d92cc030cc4f2157a75da29fc1ef = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_8e10c513afe025637fd353e596e9cdf2 = $(`<div id="html_8e10c513afe025637fd353e596e9cdf2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_92458f313d067ce6d1d1ec1259da6ae8.setContent(html_8e10c513afe025637fd353e596e9cdf2);\n", + " var html_389b62c5682f85accc660090278b4f3b = $(`<div id="html_389b62c5682f85accc660090278b4f3b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_4333d92cc030cc4f2157a75da29fc1ef.setContent(html_389b62c5682f85accc660090278b4f3b);\n", " \n", "\n", - " circle_marker_6ef312545a37f0fb82bbb9a51b6f38b0.bindPopup(popup_92458f313d067ce6d1d1ec1259da6ae8)\n", + " circle_marker_aa01a8cde18f81593cccaeda7c2384aa.bindPopup(popup_4333d92cc030cc4f2157a75da29fc1ef)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_48489ee85639165a98c5772a5a9e2906 = L.circleMarker(\n", + " var circle_marker_b38823d9d36474dfe4ea732cca30d2a9 = L.circleMarker(\n", " [37.75283439229456, -122.42436907613654],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c7294a2b6567283d6f8d4df0d871f671 = L.popup({"maxWidth": "100%"});\n", + " var popup_7bc3e846df9b623bcbebdf88fb0adb1c = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_fb03bc48cfefb90a1935d5a472bfb1bc = $(`<div id="html_fb03bc48cfefb90a1935d5a472bfb1bc" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c7294a2b6567283d6f8d4df0d871f671.setContent(html_fb03bc48cfefb90a1935d5a472bfb1bc);\n", + " var html_ca701e12b46b76de01f7d6848ae76bab = $(`<div id="html_ca701e12b46b76de01f7d6848ae76bab" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_7bc3e846df9b623bcbebdf88fb0adb1c.setContent(html_ca701e12b46b76de01f7d6848ae76bab);\n", " \n", "\n", - " circle_marker_48489ee85639165a98c5772a5a9e2906.bindPopup(popup_c7294a2b6567283d6f8d4df0d871f671)\n", + " circle_marker_b38823d9d36474dfe4ea732cca30d2a9.bindPopup(popup_7bc3e846df9b623bcbebdf88fb0adb1c)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a30a203515c77d6ec3c3a248f046375f = L.circleMarker(\n", + " var circle_marker_5c798b64fc0be66319cf68d46291ef1d = L.circleMarker(\n", " [37.73969735334643, -122.41382634618964],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_61b35134a2e64ab909e14ffdde76ea02 = L.popup({"maxWidth": "100%"});\n", + " var popup_988917cdb9b4a577718ec0812bbd09f3 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f5ca4c360b6a42976dfe233408aeb177 = $(`<div id="html_f5ca4c360b6a42976dfe233408aeb177" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_61b35134a2e64ab909e14ffdde76ea02.setContent(html_f5ca4c360b6a42976dfe233408aeb177);\n", + " var html_0479811ebc9c50238ee92a0e37b709b7 = $(`<div id="html_0479811ebc9c50238ee92a0e37b709b7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_988917cdb9b4a577718ec0812bbd09f3.setContent(html_0479811ebc9c50238ee92a0e37b709b7);\n", " \n", "\n", - " circle_marker_a30a203515c77d6ec3c3a248f046375f.bindPopup(popup_61b35134a2e64ab909e14ffdde76ea02)\n", + " circle_marker_5c798b64fc0be66319cf68d46291ef1d.bindPopup(popup_988917cdb9b4a577718ec0812bbd09f3)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a9d5184c4adad23c0ab98e14e38d1443 = L.circleMarker(\n", + " var circle_marker_b9d55c1f9d5faebf542b8ea73cb81882 = L.circleMarker(\n", " [37.75257710605992, -122.40470322706904],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_47464bfec4cabf5ef0c909b6a281c352 = L.popup({"maxWidth": "100%"});\n", + " var popup_544f04a75a59e12311c41adbb0577fa0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_de14a9ae1e17c9ce138330a2b2b7e665 = $(`<div id="html_de14a9ae1e17c9ce138330a2b2b7e665" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_47464bfec4cabf5ef0c909b6a281c352.setContent(html_de14a9ae1e17c9ce138330a2b2b7e665);\n", + " var html_deb852fb3f9e25cbc0cd67038bcb6498 = $(`<div id="html_deb852fb3f9e25cbc0cd67038bcb6498" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_544f04a75a59e12311c41adbb0577fa0.setContent(html_deb852fb3f9e25cbc0cd67038bcb6498);\n", " \n", "\n", - " circle_marker_a9d5184c4adad23c0ab98e14e38d1443.bindPopup(popup_47464bfec4cabf5ef0c909b6a281c352)\n", + " circle_marker_b9d55c1f9d5faebf542b8ea73cb81882.bindPopup(popup_544f04a75a59e12311c41adbb0577fa0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_cf1d444b2af04bac688bb7ad024d7356 = L.circleMarker(\n", + " var circle_marker_126ef4ebfd5f909122c81d68cf882d06 = L.circleMarker(\n", " [37.75175323687019, -122.4148893680859],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f28a4fe5aaa1a6e0414a067557177740 = L.popup({"maxWidth": "100%"});\n", + " var popup_ea94e77886547e9817f58df02f2dc697 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_52cfe32d3dd6c32436e62e450ef0c1bb = $(`<div id="html_52cfe32d3dd6c32436e62e450ef0c1bb" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f28a4fe5aaa1a6e0414a067557177740.setContent(html_52cfe32d3dd6c32436e62e450ef0c1bb);\n", + " var html_7a0cc33bf20f9fad2e973d66a79fee39 = $(`<div id="html_7a0cc33bf20f9fad2e973d66a79fee39" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ea94e77886547e9817f58df02f2dc697.setContent(html_7a0cc33bf20f9fad2e973d66a79fee39);\n", " \n", "\n", - " circle_marker_cf1d444b2af04bac688bb7ad024d7356.bindPopup(popup_f28a4fe5aaa1a6e0414a067557177740)\n", + " circle_marker_126ef4ebfd5f909122c81d68cf882d06.bindPopup(popup_ea94e77886547e9817f58df02f2dc697)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_cb9e2b11f43401a8bea300e3f3916543 = L.circleMarker(\n", + " var circle_marker_ef198e22a9104529321b4cf1c3a167f2 = L.circleMarker(\n", " [37.74223349220518, -122.40991900141367],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f067932381ac63c1001831dcaa87de3d = L.popup({"maxWidth": "100%"});\n", + " var popup_07f672925426dce119cdc2d47af2600b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6a66201bb6ca10522ab0f4a4182d7e0d = $(`<div id="html_6a66201bb6ca10522ab0f4a4182d7e0d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f067932381ac63c1001831dcaa87de3d.setContent(html_6a66201bb6ca10522ab0f4a4182d7e0d);\n", + " var html_d1a824446895f207fa1bc79d66345a0c = $(`<div id="html_d1a824446895f207fa1bc79d66345a0c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_07f672925426dce119cdc2d47af2600b.setContent(html_d1a824446895f207fa1bc79d66345a0c);\n", " \n", "\n", - " circle_marker_cb9e2b11f43401a8bea300e3f3916543.bindPopup(popup_f067932381ac63c1001831dcaa87de3d)\n", + " circle_marker_ef198e22a9104529321b4cf1c3a167f2.bindPopup(popup_07f672925426dce119cdc2d47af2600b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_404d3cefc1a7e48d15318a56a04310d8 = L.circleMarker(\n", + " var circle_marker_cdb86c55fb20a939a54fdb57e81ec009 = L.circleMarker(\n", " [37.7387367287149, -122.41840106253402],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_315c0497310ba79c4303348895e5b074 = L.popup({"maxWidth": "100%"});\n", + " var popup_69ac58baedc6aa633bb804bde62a3034 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_af61fa9dc94eeb2290f49a2581685af7 = $(`<div id="html_af61fa9dc94eeb2290f49a2581685af7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_315c0497310ba79c4303348895e5b074.setContent(html_af61fa9dc94eeb2290f49a2581685af7);\n", + " var html_4ce9d913e6a67d49667ece1f86530ac4 = $(`<div id="html_4ce9d913e6a67d49667ece1f86530ac4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_69ac58baedc6aa633bb804bde62a3034.setContent(html_4ce9d913e6a67d49667ece1f86530ac4);\n", " \n", "\n", - " circle_marker_404d3cefc1a7e48d15318a56a04310d8.bindPopup(popup_315c0497310ba79c4303348895e5b074)\n", + " circle_marker_cdb86c55fb20a939a54fdb57e81ec009.bindPopup(popup_69ac58baedc6aa633bb804bde62a3034)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_dbf0bba945da4bd896a93f6c841f72a2 = L.circleMarker(\n", + " var circle_marker_bfecd7a92c535840aa87124e1d575494 = L.circleMarker(\n", " [37.76389286561216, -122.42381965154172],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c14575c13892fff8d18869c9ad7275f3 = L.popup({"maxWidth": "100%"});\n", + " var popup_851902f77e3ca4c599b5288b88aed75f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_79ad19239f3d56e24976c9ff29d586d9 = $(`<div id="html_79ad19239f3d56e24976c9ff29d586d9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c14575c13892fff8d18869c9ad7275f3.setContent(html_79ad19239f3d56e24976c9ff29d586d9);\n", + " var html_56d9cc298d9854c1e7e58dff4482425f = $(`<div id="html_56d9cc298d9854c1e7e58dff4482425f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_851902f77e3ca4c599b5288b88aed75f.setContent(html_56d9cc298d9854c1e7e58dff4482425f);\n", " \n", "\n", - " circle_marker_dbf0bba945da4bd896a93f6c841f72a2.bindPopup(popup_c14575c13892fff8d18869c9ad7275f3)\n", + " circle_marker_bfecd7a92c535840aa87124e1d575494.bindPopup(popup_851902f77e3ca4c599b5288b88aed75f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0942c5d0e42a9f1ac93833d6fd201968 = L.circleMarker(\n", + " var circle_marker_d93df16d8ae0d4e478e0662185311741 = L.circleMarker(\n", " [37.748347233277535, -122.40967803988173],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4bfc2939fbdeb8496d3b40f7b28c973c = L.popup({"maxWidth": "100%"});\n", + " var popup_aae3f7514c9249501ab1b36bbe61d3a3 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_64d72aa4d20d0b753c84ac8df8105284 = $(`<div id="html_64d72aa4d20d0b753c84ac8df8105284" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4bfc2939fbdeb8496d3b40f7b28c973c.setContent(html_64d72aa4d20d0b753c84ac8df8105284);\n", + " var html_cbf567b9ff31fcafdbfccb7b9fc60bd3 = $(`<div id="html_cbf567b9ff31fcafdbfccb7b9fc60bd3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_aae3f7514c9249501ab1b36bbe61d3a3.setContent(html_cbf567b9ff31fcafdbfccb7b9fc60bd3);\n", " \n", "\n", - " circle_marker_0942c5d0e42a9f1ac93833d6fd201968.bindPopup(popup_4bfc2939fbdeb8496d3b40f7b28c973c)\n", + " circle_marker_d93df16d8ae0d4e478e0662185311741.bindPopup(popup_aae3f7514c9249501ab1b36bbe61d3a3)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_877773663a19bc45fe9ca69cd3beabc6 = L.circleMarker(\n", + " var circle_marker_913ad2c93e1037fb79372eb3e9c1ec06 = L.circleMarker(\n", " [37.74026120078767, -122.42276619176752],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_926e18691fd672b96a90453ce3cc94b1 = L.popup({"maxWidth": "100%"});\n", + " var popup_4ccf9e91205d2b6c8b4c8480a12359c5 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2dc0eb0eb652362e75032881ba6340a3 = $(`<div id="html_2dc0eb0eb652362e75032881ba6340a3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_926e18691fd672b96a90453ce3cc94b1.setContent(html_2dc0eb0eb652362e75032881ba6340a3);\n", + " var html_03ffe92bfbaa8d8c9fe0e21f57b09b6b = $(`<div id="html_03ffe92bfbaa8d8c9fe0e21f57b09b6b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_4ccf9e91205d2b6c8b4c8480a12359c5.setContent(html_03ffe92bfbaa8d8c9fe0e21f57b09b6b);\n", " \n", "\n", - " circle_marker_877773663a19bc45fe9ca69cd3beabc6.bindPopup(popup_926e18691fd672b96a90453ce3cc94b1)\n", + " circle_marker_913ad2c93e1037fb79372eb3e9c1ec06.bindPopup(popup_4ccf9e91205d2b6c8b4c8480a12359c5)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_64d82dd816cd47a2950c68bd8feb7ef5 = L.circleMarker(\n", + " var circle_marker_e9ae20587b14c4ccadff0c90ff55b789 = L.circleMarker(\n", " [37.75539837180495, -122.42060974443976],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_d4487684cc5c2f500a190ab006d539a1 = L.popup({"maxWidth": "100%"});\n", + " var popup_5556804e82db4a7a4817f5d18a4e9530 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d9aafb6c8e19f06a2dd56a86a00bb371 = $(`<div id="html_d9aafb6c8e19f06a2dd56a86a00bb371" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_d4487684cc5c2f500a190ab006d539a1.setContent(html_d9aafb6c8e19f06a2dd56a86a00bb371);\n", + " var html_471969533f6c78f5bab9123917f00b99 = $(`<div id="html_471969533f6c78f5bab9123917f00b99" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_5556804e82db4a7a4817f5d18a4e9530.setContent(html_471969533f6c78f5bab9123917f00b99);\n", " \n", "\n", - " circle_marker_64d82dd816cd47a2950c68bd8feb7ef5.bindPopup(popup_d4487684cc5c2f500a190ab006d539a1)\n", + " circle_marker_e9ae20587b14c4ccadff0c90ff55b789.bindPopup(popup_5556804e82db4a7a4817f5d18a4e9530)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ea557925386172dbeee9ea399ffca257 = L.circleMarker(\n", + " var circle_marker_95916d6bc8c7f6b5c60e178983f9b8cd = L.circleMarker(\n", " [37.73770106674906, -122.41892417399505],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f27129db8614159bc8e4a8dcd1ff56c5 = L.popup({"maxWidth": "100%"});\n", + " var popup_9804f9dbccac123e857380e4e54f8c29 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e871a832517adba370824012e5bd040d = $(`<div id="html_e871a832517adba370824012e5bd040d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f27129db8614159bc8e4a8dcd1ff56c5.setContent(html_e871a832517adba370824012e5bd040d);\n", + " var html_a74a41c81b6df248723881c58b1ba0e1 = $(`<div id="html_a74a41c81b6df248723881c58b1ba0e1" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9804f9dbccac123e857380e4e54f8c29.setContent(html_a74a41c81b6df248723881c58b1ba0e1);\n", " \n", "\n", - " circle_marker_ea557925386172dbeee9ea399ffca257.bindPopup(popup_f27129db8614159bc8e4a8dcd1ff56c5)\n", + " circle_marker_95916d6bc8c7f6b5c60e178983f9b8cd.bindPopup(popup_9804f9dbccac123e857380e4e54f8c29)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_84659a636a7bbdd9698674393412ba23 = L.circleMarker(\n", + " var circle_marker_9dc59619e9021e63162ec1aa17534917 = L.circleMarker(\n", " [37.74708820953235, -122.41121543828048],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6d270bbffb1a56d9a5faa3733cf3e750 = L.popup({"maxWidth": "100%"});\n", + " var popup_5d735bb8a6cb12615671187de7534f1d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d02a08917bba0ea5842607db9edcf5ca = $(`<div id="html_d02a08917bba0ea5842607db9edcf5ca" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6d270bbffb1a56d9a5faa3733cf3e750.setContent(html_d02a08917bba0ea5842607db9edcf5ca);\n", + " var html_7c3685c1af65b6e59328113057c32d8d = $(`<div id="html_7c3685c1af65b6e59328113057c32d8d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_5d735bb8a6cb12615671187de7534f1d.setContent(html_7c3685c1af65b6e59328113057c32d8d);\n", " \n", "\n", - " circle_marker_84659a636a7bbdd9698674393412ba23.bindPopup(popup_6d270bbffb1a56d9a5faa3733cf3e750)\n", + " circle_marker_9dc59619e9021e63162ec1aa17534917.bindPopup(popup_5d735bb8a6cb12615671187de7534f1d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_3fbc022a5f0d41caa7619ec7a7f30e3a = L.circleMarker(\n", + " var circle_marker_8ae02684f5eeb65d764d7db8dfb1e469 = L.circleMarker(\n", " [37.76225919844404, -122.41486518168091],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f07ba93f1b04149a9d09be17bbb0496d = L.popup({"maxWidth": "100%"});\n", + " var popup_0a11603adff6312c5093a5c5f98759d0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a0ce8b5c05d0c0e56973fad8f3736177 = $(`<div id="html_a0ce8b5c05d0c0e56973fad8f3736177" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f07ba93f1b04149a9d09be17bbb0496d.setContent(html_a0ce8b5c05d0c0e56973fad8f3736177);\n", + " var html_3d923b8e6008a885f2e3310e1490efca = $(`<div id="html_3d923b8e6008a885f2e3310e1490efca" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_0a11603adff6312c5093a5c5f98759d0.setContent(html_3d923b8e6008a885f2e3310e1490efca);\n", " \n", "\n", - " circle_marker_3fbc022a5f0d41caa7619ec7a7f30e3a.bindPopup(popup_f07ba93f1b04149a9d09be17bbb0496d)\n", + " circle_marker_8ae02684f5eeb65d764d7db8dfb1e469.bindPopup(popup_0a11603adff6312c5093a5c5f98759d0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d91b7253ab95d975e276669ca53e2f67 = L.circleMarker(\n", + " var circle_marker_2b70943814145cb0fec5cd5607a1f004 = L.circleMarker(\n", " [37.740568264758494, -122.41163237344158],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f30f511d8032e1c97839271170a3a8bd = L.popup({"maxWidth": "100%"});\n", + " var popup_7bc4f02096a8c8cac24b99743671c28c = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e739f579ce2ef289e75a9eecacc71ed9 = $(`<div id="html_e739f579ce2ef289e75a9eecacc71ed9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f30f511d8032e1c97839271170a3a8bd.setContent(html_e739f579ce2ef289e75a9eecacc71ed9);\n", + " var html_b60d072164fbb12f8d24739bda434d6b = $(`<div id="html_b60d072164fbb12f8d24739bda434d6b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_7bc4f02096a8c8cac24b99743671c28c.setContent(html_b60d072164fbb12f8d24739bda434d6b);\n", " \n", "\n", - " circle_marker_d91b7253ab95d975e276669ca53e2f67.bindPopup(popup_f30f511d8032e1c97839271170a3a8bd)\n", + " circle_marker_2b70943814145cb0fec5cd5607a1f004.bindPopup(popup_7bc4f02096a8c8cac24b99743671c28c)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c8610443d2fd6c1e7adc515d1c7be849 = L.circleMarker(\n", + " var circle_marker_c5742761d137481180a00a5ed24d48cd = L.circleMarker(\n", " [37.744682871447594, -122.42039964169358],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_7da5d5a41dcf564545ee0b8132653144 = L.popup({"maxWidth": "100%"});\n", + " var popup_ce231303d18b782a46347d2a9af4a097 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_56e298cfd1a8bc592c890c0b518529b9 = $(`<div id="html_56e298cfd1a8bc592c890c0b518529b9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_7da5d5a41dcf564545ee0b8132653144.setContent(html_56e298cfd1a8bc592c890c0b518529b9);\n", + " var html_233b1b12efe5c6833275efb4a4036eea = $(`<div id="html_233b1b12efe5c6833275efb4a4036eea" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ce231303d18b782a46347d2a9af4a097.setContent(html_233b1b12efe5c6833275efb4a4036eea);\n", " \n", "\n", - " circle_marker_c8610443d2fd6c1e7adc515d1c7be849.bindPopup(popup_7da5d5a41dcf564545ee0b8132653144)\n", + " circle_marker_c5742761d137481180a00a5ed24d48cd.bindPopup(popup_ce231303d18b782a46347d2a9af4a097)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_cc3573ad24a65e761f4f2351e12dae0a = L.circleMarker(\n", + " var circle_marker_5e07dd6a68bbbf802249025acc7dce61 = L.circleMarker(\n", " [37.76001174749493, -122.41354296784603],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_69309306381a78aa72608e40914d43c7 = L.popup({"maxWidth": "100%"});\n", + " var popup_eb90eed2feaf6de7663b43b7cb202990 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_63f84a7e6946fc7c90191bc5ab4041b1 = $(`<div id="html_63f84a7e6946fc7c90191bc5ab4041b1" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_69309306381a78aa72608e40914d43c7.setContent(html_63f84a7e6946fc7c90191bc5ab4041b1);\n", + " var html_ed1b0478a29e647d8813ee196ee4cf48 = $(`<div id="html_ed1b0478a29e647d8813ee196ee4cf48" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_eb90eed2feaf6de7663b43b7cb202990.setContent(html_ed1b0478a29e647d8813ee196ee4cf48);\n", " \n", "\n", - " circle_marker_cc3573ad24a65e761f4f2351e12dae0a.bindPopup(popup_69309306381a78aa72608e40914d43c7)\n", + " circle_marker_5e07dd6a68bbbf802249025acc7dce61.bindPopup(popup_eb90eed2feaf6de7663b43b7cb202990)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e2c4049e4e72df723ccc8b7f9389a9fd = L.circleMarker(\n", + " var circle_marker_3f7f2d6ff867b2a7a0f252cd6e1f1cd0 = L.circleMarker(\n", " [37.76143653964776, -122.41250374000519],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_0d408717f7c298e61044116a3dfc494d = L.popup({"maxWidth": "100%"});\n", + " var popup_c046722ff5f777f91e4da0606184d628 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_9eae7d302958e6508888c22e751171ce = $(`<div id="html_9eae7d302958e6508888c22e751171ce" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_0d408717f7c298e61044116a3dfc494d.setContent(html_9eae7d302958e6508888c22e751171ce);\n", + " var html_eb7ca5231cf0a84a91e7f45e6fba3668 = $(`<div id="html_eb7ca5231cf0a84a91e7f45e6fba3668" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_c046722ff5f777f91e4da0606184d628.setContent(html_eb7ca5231cf0a84a91e7f45e6fba3668);\n", " \n", "\n", - " circle_marker_e2c4049e4e72df723ccc8b7f9389a9fd.bindPopup(popup_0d408717f7c298e61044116a3dfc494d)\n", + " circle_marker_3f7f2d6ff867b2a7a0f252cd6e1f1cd0.bindPopup(popup_c046722ff5f777f91e4da0606184d628)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e0db1b74ab077857497a7b4503e0cce4 = L.circleMarker(\n", + " var circle_marker_f818cad25a3560c71bc3231ea5ef2082 = L.circleMarker(\n", " [37.758881507967835, -122.42158735975825],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_454017b3b653ddadd2b5d7dadc5d58f3 = L.popup({"maxWidth": "100%"});\n", + " var popup_added77ebf4127452dd1469f5ceea486 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_b97260084b983534cd25d63833d3607f = $(`<div id="html_b97260084b983534cd25d63833d3607f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_454017b3b653ddadd2b5d7dadc5d58f3.setContent(html_b97260084b983534cd25d63833d3607f);\n", + " var html_db65f6027f8bcd8f4b93a37a7b8513cf = $(`<div id="html_db65f6027f8bcd8f4b93a37a7b8513cf" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_added77ebf4127452dd1469f5ceea486.setContent(html_db65f6027f8bcd8f4b93a37a7b8513cf);\n", " \n", "\n", - " circle_marker_e0db1b74ab077857497a7b4503e0cce4.bindPopup(popup_454017b3b653ddadd2b5d7dadc5d58f3)\n", + " circle_marker_f818cad25a3560c71bc3231ea5ef2082.bindPopup(popup_added77ebf4127452dd1469f5ceea486)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e961dd9d714d531dc4a43afc6aa3b672 = L.circleMarker(\n", + " var circle_marker_3134bad569a3a785c8560a51abede210 = L.circleMarker(\n", " [37.76418120866797, -122.42383388780732],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_167c006c9277a55d3bcb4d8a13f81eb0 = L.popup({"maxWidth": "100%"});\n", + " var popup_7a48b1cf3b232bf573c542d149b52479 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_61093d3f5fd152e13a6963b2ff18122b = $(`<div id="html_61093d3f5fd152e13a6963b2ff18122b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_167c006c9277a55d3bcb4d8a13f81eb0.setContent(html_61093d3f5fd152e13a6963b2ff18122b);\n", + " var html_849ba10f35483e84548896939bd8e0c5 = $(`<div id="html_849ba10f35483e84548896939bd8e0c5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_7a48b1cf3b232bf573c542d149b52479.setContent(html_849ba10f35483e84548896939bd8e0c5);\n", " \n", "\n", - " circle_marker_e961dd9d714d531dc4a43afc6aa3b672.bindPopup(popup_167c006c9277a55d3bcb4d8a13f81eb0)\n", + " circle_marker_3134bad569a3a785c8560a51abede210.bindPopup(popup_7a48b1cf3b232bf573c542d149b52479)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d87d1a75c457d134c7015364771fe4f0 = L.circleMarker(\n", + " var circle_marker_2180bcd42fe94d7b2ab1a6899fb99f51 = L.circleMarker(\n", " [37.738930706925785, -122.41100854960864],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_a9eb9a275eb936d6eec8304c4bd53802 = L.popup({"maxWidth": "100%"});\n", + " var popup_388a2da7297d63be7c4d6137749621b8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_9f93daa0611960e55c48739fc92565a2 = $(`<div id="html_9f93daa0611960e55c48739fc92565a2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_a9eb9a275eb936d6eec8304c4bd53802.setContent(html_9f93daa0611960e55c48739fc92565a2);\n", + " var html_f97d3b9ebc0a432383e4d7b01b8e1473 = $(`<div id="html_f97d3b9ebc0a432383e4d7b01b8e1473" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_388a2da7297d63be7c4d6137749621b8.setContent(html_f97d3b9ebc0a432383e4d7b01b8e1473);\n", " \n", "\n", - " circle_marker_d87d1a75c457d134c7015364771fe4f0.bindPopup(popup_a9eb9a275eb936d6eec8304c4bd53802)\n", + " circle_marker_2180bcd42fe94d7b2ab1a6899fb99f51.bindPopup(popup_388a2da7297d63be7c4d6137749621b8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_10d5b8d38d8fef1e93633d9d14277a60 = L.circleMarker(\n", + " var circle_marker_65f7830fc78cfd84ff9b2bdf83fa5ea3 = L.circleMarker(\n", " [37.75658034967026, -122.40436699718947],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_28616f284921a400e8c9c0162f476fa5 = L.popup({"maxWidth": "100%"});\n", + " var popup_20d05ea600d3b6b0708f2a34074066a8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f2ddedde5435e19b1b2ef479ea50c3d2 = $(`<div id="html_f2ddedde5435e19b1b2ef479ea50c3d2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_28616f284921a400e8c9c0162f476fa5.setContent(html_f2ddedde5435e19b1b2ef479ea50c3d2);\n", + " var html_23b62488f429348157618e8d24154cd4 = $(`<div id="html_23b62488f429348157618e8d24154cd4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_20d05ea600d3b6b0708f2a34074066a8.setContent(html_23b62488f429348157618e8d24154cd4);\n", " \n", "\n", - " circle_marker_10d5b8d38d8fef1e93633d9d14277a60.bindPopup(popup_28616f284921a400e8c9c0162f476fa5)\n", + " circle_marker_65f7830fc78cfd84ff9b2bdf83fa5ea3.bindPopup(popup_20d05ea600d3b6b0708f2a34074066a8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a97b389e3c030d02ffeb3293f0122687 = L.circleMarker(\n", + " var circle_marker_2d718eb9d3b6bbe2f11b30a55ba997d6 = L.circleMarker(\n", " [37.73885550860088, -122.42208826738184],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_850eb8188406275254f1c771d7005c0a = L.popup({"maxWidth": "100%"});\n", + " var popup_994c605d61f77c59f96054050c2a41a5 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_3c600e35a558f73b5847b04b8414ea29 = $(`<div id="html_3c600e35a558f73b5847b04b8414ea29" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_850eb8188406275254f1c771d7005c0a.setContent(html_3c600e35a558f73b5847b04b8414ea29);\n", + " var html_9141e33d8f3bd9bcb1c0e12467b3c2be = $(`<div id="html_9141e33d8f3bd9bcb1c0e12467b3c2be" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_994c605d61f77c59f96054050c2a41a5.setContent(html_9141e33d8f3bd9bcb1c0e12467b3c2be);\n", " \n", "\n", - " circle_marker_a97b389e3c030d02ffeb3293f0122687.bindPopup(popup_850eb8188406275254f1c771d7005c0a)\n", + " circle_marker_2d718eb9d3b6bbe2f11b30a55ba997d6.bindPopup(popup_994c605d61f77c59f96054050c2a41a5)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8fe68669be16dc77224989bf278bacf2 = L.circleMarker(\n", + " var circle_marker_b860f3b864fff91daf4db6187181c2cf = L.circleMarker(\n", " [37.73242889676793, -122.41533486255479],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_862009075db5377b458376bc86c2c311 = L.popup({"maxWidth": "100%"});\n", + " var popup_9f062b549732296e585f1b70d04dc2bd = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_9964c8b26976f657a233194a5976d52a = $(`<div id="html_9964c8b26976f657a233194a5976d52a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_862009075db5377b458376bc86c2c311.setContent(html_9964c8b26976f657a233194a5976d52a);\n", + " var html_f1b0761ea38dcae8bd7ac8a1dcd5a461 = $(`<div id="html_f1b0761ea38dcae8bd7ac8a1dcd5a461" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9f062b549732296e585f1b70d04dc2bd.setContent(html_f1b0761ea38dcae8bd7ac8a1dcd5a461);\n", " \n", "\n", - " circle_marker_8fe68669be16dc77224989bf278bacf2.bindPopup(popup_862009075db5377b458376bc86c2c311)\n", + " circle_marker_b860f3b864fff91daf4db6187181c2cf.bindPopup(popup_9f062b549732296e585f1b70d04dc2bd)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4854ac604bb38b8f15b7b9e0e96b55fc = L.circleMarker(\n", + " var circle_marker_845c56da61cfe9654af790c88b97df71 = L.circleMarker(\n", " [37.7460946279338, -122.42327589475202],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_00943e721791728117a3f3aedc72a18f = L.popup({"maxWidth": "100%"});\n", + " var popup_9a46beb663a63eaa752b84633b2f3191 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_cd4f392795184a261d2f0354830f0738 = $(`<div id="html_cd4f392795184a261d2f0354830f0738" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_00943e721791728117a3f3aedc72a18f.setContent(html_cd4f392795184a261d2f0354830f0738);\n", + " var html_8fb976bec7a191b9a2b571ff806f1095 = $(`<div id="html_8fb976bec7a191b9a2b571ff806f1095" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9a46beb663a63eaa752b84633b2f3191.setContent(html_8fb976bec7a191b9a2b571ff806f1095);\n", " \n", "\n", - " circle_marker_4854ac604bb38b8f15b7b9e0e96b55fc.bindPopup(popup_00943e721791728117a3f3aedc72a18f)\n", + " circle_marker_845c56da61cfe9654af790c88b97df71.bindPopup(popup_9a46beb663a63eaa752b84633b2f3191)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b0315d2fd38798e4e1d1d1e07458cb97 = L.circleMarker(\n", + " var circle_marker_4d74c43239c6583ae057cc2d4c7b0ecb = L.circleMarker(\n", " [37.74742653113364, -122.41901571198258],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_146e14855fc4ea783171fdce8f73f3a8 = L.popup({"maxWidth": "100%"});\n", + " var popup_105e355fb73ec7b551280ce4b5de93e8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_dee589dadba6e96555196b641a8b2193 = $(`<div id="html_dee589dadba6e96555196b641a8b2193" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_146e14855fc4ea783171fdce8f73f3a8.setContent(html_dee589dadba6e96555196b641a8b2193);\n", + " var html_e24506fc05d29c5f44d3a0b5e5cc0b68 = $(`<div id="html_e24506fc05d29c5f44d3a0b5e5cc0b68" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_105e355fb73ec7b551280ce4b5de93e8.setContent(html_e24506fc05d29c5f44d3a0b5e5cc0b68);\n", " \n", "\n", - " circle_marker_b0315d2fd38798e4e1d1d1e07458cb97.bindPopup(popup_146e14855fc4ea783171fdce8f73f3a8)\n", + " circle_marker_4d74c43239c6583ae057cc2d4c7b0ecb.bindPopup(popup_105e355fb73ec7b551280ce4b5de93e8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c6638224014fa99040d72942a6d1322b = L.circleMarker(\n", + " var circle_marker_db18909f97f4eb72cfac7eaed954fcb5 = L.circleMarker(\n", " [37.7516461902975, -122.42148292078194],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_22e0cade809790ffa5129fd73844594b = L.popup({"maxWidth": "100%"});\n", + " var popup_5b203a240f6d88238107b90311e58b98 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e5a351f66456b3de7db4b0cbb794d918 = $(`<div id="html_e5a351f66456b3de7db4b0cbb794d918" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_22e0cade809790ffa5129fd73844594b.setContent(html_e5a351f66456b3de7db4b0cbb794d918);\n", + " var html_67af5ee7102468762b8d339039bfad05 = $(`<div id="html_67af5ee7102468762b8d339039bfad05" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_5b203a240f6d88238107b90311e58b98.setContent(html_67af5ee7102468762b8d339039bfad05);\n", " \n", "\n", - " circle_marker_c6638224014fa99040d72942a6d1322b.bindPopup(popup_22e0cade809790ffa5129fd73844594b)\n", + " circle_marker_db18909f97f4eb72cfac7eaed954fcb5.bindPopup(popup_5b203a240f6d88238107b90311e58b98)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bc4d58926385552e5a7c09e213305a63 = L.circleMarker(\n", + " var circle_marker_a5b0902bd45b2f5e08e3f7696475d153 = L.circleMarker(\n", " [37.73607306850611, -122.41535585953757],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_13169426fe6e7ef423970fb5ae58d64c = L.popup({"maxWidth": "100%"});\n", + " var popup_8d1de7010273695d6197333798dc4d80 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_5a6448639356ece1bb359495d73936bd = $(`<div id="html_5a6448639356ece1bb359495d73936bd" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_13169426fe6e7ef423970fb5ae58d64c.setContent(html_5a6448639356ece1bb359495d73936bd);\n", + " var html_e83ef34eb7d6ac8a14130818ef3a25f3 = $(`<div id="html_e83ef34eb7d6ac8a14130818ef3a25f3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_8d1de7010273695d6197333798dc4d80.setContent(html_e83ef34eb7d6ac8a14130818ef3a25f3);\n", " \n", "\n", - " circle_marker_bc4d58926385552e5a7c09e213305a63.bindPopup(popup_13169426fe6e7ef423970fb5ae58d64c)\n", + " circle_marker_a5b0902bd45b2f5e08e3f7696475d153.bindPopup(popup_8d1de7010273695d6197333798dc4d80)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ee3a27d1f614f987183c0cc09ea2832a = L.circleMarker(\n", + " var circle_marker_8c1c26308e78696bcc66a08f3ba6756a = L.circleMarker(\n", " [37.74511425270174, -122.41025793398745],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_eb13e1b366b914bec3cadeb63ee14847 = L.popup({"maxWidth": "100%"});\n", + " var popup_5eb9d45d293c801c78b05de400e844a3 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_60df2e5bd9f74235f5b4a35d0b24f72b = $(`<div id="html_60df2e5bd9f74235f5b4a35d0b24f72b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_eb13e1b366b914bec3cadeb63ee14847.setContent(html_60df2e5bd9f74235f5b4a35d0b24f72b);\n", + " var html_59fb853a92fbcc5fae72ab33023fbeca = $(`<div id="html_59fb853a92fbcc5fae72ab33023fbeca" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_5eb9d45d293c801c78b05de400e844a3.setContent(html_59fb853a92fbcc5fae72ab33023fbeca);\n", " \n", "\n", - " circle_marker_ee3a27d1f614f987183c0cc09ea2832a.bindPopup(popup_eb13e1b366b914bec3cadeb63ee14847)\n", + " circle_marker_8c1c26308e78696bcc66a08f3ba6756a.bindPopup(popup_5eb9d45d293c801c78b05de400e844a3)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_62abf216a82c1aac3f0ea69ea9062cb2 = L.circleMarker(\n", + " var circle_marker_fbeb198008833b32137711acdaba3bb8 = L.circleMarker(\n", " [37.73782696783066, -122.41412809295414],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f59bb81156d380c2846d59091c2d4091 = L.popup({"maxWidth": "100%"});\n", + " var popup_7aeb97c33d0115673d1c13f0bcc62db9 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_504306dcccf996703c87f04c376fbcc3 = $(`<div id="html_504306dcccf996703c87f04c376fbcc3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f59bb81156d380c2846d59091c2d4091.setContent(html_504306dcccf996703c87f04c376fbcc3);\n", + " var html_143eb4774a01331f3acaa8ae35c90841 = $(`<div id="html_143eb4774a01331f3acaa8ae35c90841" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_7aeb97c33d0115673d1c13f0bcc62db9.setContent(html_143eb4774a01331f3acaa8ae35c90841);\n", " \n", "\n", - " circle_marker_62abf216a82c1aac3f0ea69ea9062cb2.bindPopup(popup_f59bb81156d380c2846d59091c2d4091)\n", + " circle_marker_fbeb198008833b32137711acdaba3bb8.bindPopup(popup_7aeb97c33d0115673d1c13f0bcc62db9)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_72651654b6d1f124f43745c44f1aa5d3 = L.circleMarker(\n", + " var circle_marker_8771115b95c06778502088a1c1c11145 = L.circleMarker(\n", " [37.748264951499664, -122.42487627066222],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f76fba504c876ef02f9738616e88bf44 = L.popup({"maxWidth": "100%"});\n", + " var popup_22948c883544c258ea72769c0b597b46 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_943d0baea31100faf1632b2dea3c280e = $(`<div id="html_943d0baea31100faf1632b2dea3c280e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f76fba504c876ef02f9738616e88bf44.setContent(html_943d0baea31100faf1632b2dea3c280e);\n", + " var html_16f8a082d63a0ae4d9a1f2d811bf29cc = $(`<div id="html_16f8a082d63a0ae4d9a1f2d811bf29cc" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_22948c883544c258ea72769c0b597b46.setContent(html_16f8a082d63a0ae4d9a1f2d811bf29cc);\n", " \n", "\n", - " circle_marker_72651654b6d1f124f43745c44f1aa5d3.bindPopup(popup_f76fba504c876ef02f9738616e88bf44)\n", + " circle_marker_8771115b95c06778502088a1c1c11145.bindPopup(popup_22948c883544c258ea72769c0b597b46)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_502c5183c85a0ee917dea8e5bc7a5f1d = L.circleMarker(\n", + " var circle_marker_0d74b8f584b8cb8da146ae557a853653 = L.circleMarker(\n", " [37.76375791326102, -122.41948996087152],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6399b4058baa7da19b43e6631ae63cf1 = L.popup({"maxWidth": "100%"});\n", + " var popup_240966f9758de1806e81d4641b2ea8d0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_945412dde8cf7bd88e187e0c1f39cbb9 = $(`<div id="html_945412dde8cf7bd88e187e0c1f39cbb9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6399b4058baa7da19b43e6631ae63cf1.setContent(html_945412dde8cf7bd88e187e0c1f39cbb9);\n", + " var html_5b8bb240acb97ad4bab9cbe88e0a826e = $(`<div id="html_5b8bb240acb97ad4bab9cbe88e0a826e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_240966f9758de1806e81d4641b2ea8d0.setContent(html_5b8bb240acb97ad4bab9cbe88e0a826e);\n", " \n", "\n", - " circle_marker_502c5183c85a0ee917dea8e5bc7a5f1d.bindPopup(popup_6399b4058baa7da19b43e6631ae63cf1)\n", + " circle_marker_0d74b8f584b8cb8da146ae557a853653.bindPopup(popup_240966f9758de1806e81d4641b2ea8d0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_3a5452d4bb98ead4ccb2f4dc83955fe6 = L.circleMarker(\n", + " var circle_marker_50d9f79eb4bdfe005280fbd45ab46227 = L.circleMarker(\n", " [37.757190231652636, -122.40901934781371],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4148887c3601fbd5b3b977ebcf8bc792 = L.popup({"maxWidth": "100%"});\n", + " var popup_bf2564f40546fc70a423fe2250d5489d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2d7bd9df2f57aaa773f124d277f96337 = $(`<div id="html_2d7bd9df2f57aaa773f124d277f96337" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4148887c3601fbd5b3b977ebcf8bc792.setContent(html_2d7bd9df2f57aaa773f124d277f96337);\n", + " var html_d3616b0f6729528bdc7db20d56350591 = $(`<div id="html_d3616b0f6729528bdc7db20d56350591" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_bf2564f40546fc70a423fe2250d5489d.setContent(html_d3616b0f6729528bdc7db20d56350591);\n", " \n", "\n", - " circle_marker_3a5452d4bb98ead4ccb2f4dc83955fe6.bindPopup(popup_4148887c3601fbd5b3b977ebcf8bc792)\n", + " circle_marker_50d9f79eb4bdfe005280fbd45ab46227.bindPopup(popup_bf2564f40546fc70a423fe2250d5489d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bbe962a946283845418e4bfcf08e751e = L.circleMarker(\n", + " var circle_marker_858b80812927b2dba111b81d9f7424b5 = L.circleMarker(\n", " [37.7515671364096, -122.41446616923866],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_a95ef7a7fd4f18c5dade72ca64d24ae7 = L.popup({"maxWidth": "100%"});\n", + " var popup_6c84085d84fad4ac7cb185891aec255d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_25f41f13a5640405ae31bec45facdcc5 = $(`<div id="html_25f41f13a5640405ae31bec45facdcc5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_a95ef7a7fd4f18c5dade72ca64d24ae7.setContent(html_25f41f13a5640405ae31bec45facdcc5);\n", + " var html_767645404b5826adc594735479f7fe59 = $(`<div id="html_767645404b5826adc594735479f7fe59" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_6c84085d84fad4ac7cb185891aec255d.setContent(html_767645404b5826adc594735479f7fe59);\n", " \n", "\n", - " circle_marker_bbe962a946283845418e4bfcf08e751e.bindPopup(popup_a95ef7a7fd4f18c5dade72ca64d24ae7)\n", + " circle_marker_858b80812927b2dba111b81d9f7424b5.bindPopup(popup_6c84085d84fad4ac7cb185891aec255d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a667d50e03be715f91e8b2d7b0a8e1dd = L.circleMarker(\n", + " var circle_marker_6a4023de74d3b6b8b68ce954da8c9aa3 = L.circleMarker(\n", " [37.75843991693097, -122.41145761273533],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_62bfd6db21edffe75572043f9bdace29 = L.popup({"maxWidth": "100%"});\n", + " var popup_9cda9389652ec876227a70c90af59a00 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_b9b99a150b0c4c6f387b6a23e80a324d = $(`<div id="html_b9b99a150b0c4c6f387b6a23e80a324d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_62bfd6db21edffe75572043f9bdace29.setContent(html_b9b99a150b0c4c6f387b6a23e80a324d);\n", + " var html_d1dba9006a25c7b8a766ab3e586e7232 = $(`<div id="html_d1dba9006a25c7b8a766ab3e586e7232" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9cda9389652ec876227a70c90af59a00.setContent(html_d1dba9006a25c7b8a766ab3e586e7232);\n", " \n", "\n", - " circle_marker_a667d50e03be715f91e8b2d7b0a8e1dd.bindPopup(popup_62bfd6db21edffe75572043f9bdace29)\n", + " circle_marker_6a4023de74d3b6b8b68ce954da8c9aa3.bindPopup(popup_9cda9389652ec876227a70c90af59a00)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e3bae425580ddea13ec347c45b28b0ea = L.circleMarker(\n", + " var circle_marker_360d2fc2d273802d1d1fac99e9e188de = L.circleMarker(\n", " [37.75163337537155, -122.42137810541736],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_86056d6325ae72ef79cabbd3df3c46ac = L.popup({"maxWidth": "100%"});\n", + " var popup_29c56fbd0b34af8121c3463f2650aaf4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_14d2c5164f2301de1ba991c1c00d8aae = $(`<div id="html_14d2c5164f2301de1ba991c1c00d8aae" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_86056d6325ae72ef79cabbd3df3c46ac.setContent(html_14d2c5164f2301de1ba991c1c00d8aae);\n", + " var html_1f930d48386f0618e980b55815a745a6 = $(`<div id="html_1f930d48386f0618e980b55815a745a6" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_29c56fbd0b34af8121c3463f2650aaf4.setContent(html_1f930d48386f0618e980b55815a745a6);\n", " \n", "\n", - " circle_marker_e3bae425580ddea13ec347c45b28b0ea.bindPopup(popup_86056d6325ae72ef79cabbd3df3c46ac)\n", + " circle_marker_360d2fc2d273802d1d1fac99e9e188de.bindPopup(popup_29c56fbd0b34af8121c3463f2650aaf4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_440f00f20d85eddf061ab5672cb2ee2d = L.circleMarker(\n", + " var circle_marker_1db5f89e9d6a0c494cfb9ca904f200ac = L.circleMarker(\n", " [37.764481854652736, -122.41993600982686],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_5ac09c5d9556f9421de6ee1be820bb3a = L.popup({"maxWidth": "100%"});\n", + " var popup_a156c907cab325dfd97e412c7751c0eb = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_51eaaf859a1922c6433138a0128411f0 = $(`<div id="html_51eaaf859a1922c6433138a0128411f0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_5ac09c5d9556f9421de6ee1be820bb3a.setContent(html_51eaaf859a1922c6433138a0128411f0);\n", + " var html_8102f715ea51ff0e099e0b9203f926a5 = $(`<div id="html_8102f715ea51ff0e099e0b9203f926a5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a156c907cab325dfd97e412c7751c0eb.setContent(html_8102f715ea51ff0e099e0b9203f926a5);\n", " \n", "\n", - " circle_marker_440f00f20d85eddf061ab5672cb2ee2d.bindPopup(popup_5ac09c5d9556f9421de6ee1be820bb3a)\n", + " circle_marker_1db5f89e9d6a0c494cfb9ca904f200ac.bindPopup(popup_a156c907cab325dfd97e412c7751c0eb)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2730d4b1e15815df7926bbb6789ed059 = L.circleMarker(\n", + " var circle_marker_dd6a52f8af16ce8825e99146d59382f2 = L.circleMarker(\n", " [37.76406227103009, -122.4226566332339],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_e3b1515afa5a1e5de62af614ad7774df = L.popup({"maxWidth": "100%"});\n", + " var popup_a0ba9cd0065fb01df104c9f757da236a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f09002ec2234935bdcf53c66fb3d5158 = $(`<div id="html_f09002ec2234935bdcf53c66fb3d5158" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_e3b1515afa5a1e5de62af614ad7774df.setContent(html_f09002ec2234935bdcf53c66fb3d5158);\n", + " var html_c8aba6b9d65dec946706789d9e7cfbc4 = $(`<div id="html_c8aba6b9d65dec946706789d9e7cfbc4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a0ba9cd0065fb01df104c9f757da236a.setContent(html_c8aba6b9d65dec946706789d9e7cfbc4);\n", " \n", "\n", - " circle_marker_2730d4b1e15815df7926bbb6789ed059.bindPopup(popup_e3b1515afa5a1e5de62af614ad7774df)\n", + " circle_marker_dd6a52f8af16ce8825e99146d59382f2.bindPopup(popup_a0ba9cd0065fb01df104c9f757da236a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_441f4766d1cff2b2830de815699f8bfb = L.circleMarker(\n", + " var circle_marker_4951804e5115be3302ece36ca92e5ee9 = L.circleMarker(\n", " [37.76149261428097, -122.41246627252544],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_34a33de671c4b48c8c40c04e2078c704 = L.popup({"maxWidth": "100%"});\n", + " var popup_38f31f4ede62160ffb3e447f3eda46bf = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_98b5dbfcb890a543fdd43764c4ea5a92 = $(`<div id="html_98b5dbfcb890a543fdd43764c4ea5a92" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_34a33de671c4b48c8c40c04e2078c704.setContent(html_98b5dbfcb890a543fdd43764c4ea5a92);\n", + " var html_be291c21a10ef2b7d3d5a05c3864aa45 = $(`<div id="html_be291c21a10ef2b7d3d5a05c3864aa45" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_38f31f4ede62160ffb3e447f3eda46bf.setContent(html_be291c21a10ef2b7d3d5a05c3864aa45);\n", " \n", "\n", - " circle_marker_441f4766d1cff2b2830de815699f8bfb.bindPopup(popup_34a33de671c4b48c8c40c04e2078c704)\n", + " circle_marker_4951804e5115be3302ece36ca92e5ee9.bindPopup(popup_38f31f4ede62160ffb3e447f3eda46bf)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_74fef5df7e80940f460ec38f5063334d = L.circleMarker(\n", + " var circle_marker_5ad7f58f22cc4280209bac02d2bf1a6d = L.circleMarker(\n", " [37.76062461888235, -122.42108957360912],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_8745e4e7f3a436bfe977139affcbb125 = L.popup({"maxWidth": "100%"});\n", + " var popup_4cb730597d7dd68b966b6072a7fda2ea = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0fe61f6c490f0afd84bbd99371d8f74b = $(`<div id="html_0fe61f6c490f0afd84bbd99371d8f74b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_8745e4e7f3a436bfe977139affcbb125.setContent(html_0fe61f6c490f0afd84bbd99371d8f74b);\n", + " var html_d6cc3573b1ecd20b75e723515f6c4ed3 = $(`<div id="html_d6cc3573b1ecd20b75e723515f6c4ed3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_4cb730597d7dd68b966b6072a7fda2ea.setContent(html_d6cc3573b1ecd20b75e723515f6c4ed3);\n", " \n", "\n", - " circle_marker_74fef5df7e80940f460ec38f5063334d.bindPopup(popup_8745e4e7f3a436bfe977139affcbb125)\n", + " circle_marker_5ad7f58f22cc4280209bac02d2bf1a6d.bindPopup(popup_4cb730597d7dd68b966b6072a7fda2ea)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a84d37d3b10959ddad9e40403e789d7c = L.circleMarker(\n", + " var circle_marker_9acc0d29d31abfb7a3a22dabb2b579ec = L.circleMarker(\n", " [37.736623528205754, -122.41970410021572],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_d34084e325b64d21349eec0fde83e940 = L.popup({"maxWidth": "100%"});\n", + " var popup_13f6b67597cffbdbfd3734279e0fb404 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_07dd7ebed348ca11b1fccafff19955b2 = $(`<div id="html_07dd7ebed348ca11b1fccafff19955b2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_d34084e325b64d21349eec0fde83e940.setContent(html_07dd7ebed348ca11b1fccafff19955b2);\n", + " var html_9fd77cac57070f996637f3babe15c2e4 = $(`<div id="html_9fd77cac57070f996637f3babe15c2e4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_13f6b67597cffbdbfd3734279e0fb404.setContent(html_9fd77cac57070f996637f3babe15c2e4);\n", " \n", "\n", - " circle_marker_a84d37d3b10959ddad9e40403e789d7c.bindPopup(popup_d34084e325b64d21349eec0fde83e940)\n", + " circle_marker_9acc0d29d31abfb7a3a22dabb2b579ec.bindPopup(popup_13f6b67597cffbdbfd3734279e0fb404)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_710dfc9d64d608654a6b7bb152754be8 = L.circleMarker(\n", + " var circle_marker_d67e8496d22a3af7cdbcf67605661d25 = L.circleMarker(\n", " [37.75345065474162, -122.41586666626333],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_e6ca8e9542bdc4f3f3a580bf962a7db9 = L.popup({"maxWidth": "100%"});\n", + " var popup_15e7b4cfe275b555c4a4ecfd8912ff6a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_c3c7d36eaea00cdba0d5fad13d7ec334 = $(`<div id="html_c3c7d36eaea00cdba0d5fad13d7ec334" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_e6ca8e9542bdc4f3f3a580bf962a7db9.setContent(html_c3c7d36eaea00cdba0d5fad13d7ec334);\n", + " var html_758764404f08e71ce9ab51d41446e548 = $(`<div id="html_758764404f08e71ce9ab51d41446e548" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_15e7b4cfe275b555c4a4ecfd8912ff6a.setContent(html_758764404f08e71ce9ab51d41446e548);\n", " \n", "\n", - " circle_marker_710dfc9d64d608654a6b7bb152754be8.bindPopup(popup_e6ca8e9542bdc4f3f3a580bf962a7db9)\n", + " circle_marker_d67e8496d22a3af7cdbcf67605661d25.bindPopup(popup_15e7b4cfe275b555c4a4ecfd8912ff6a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_717b800b74b3d80edf14f0e560a49763 = L.circleMarker(\n", + " var circle_marker_0cc3bafc43c3f6e7f747e3a9a43a1983 = L.circleMarker(\n", " [37.73623856050469, -122.41915845180576],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_fdf6d8ee6a52a0166ac4c289c6426c66 = L.popup({"maxWidth": "100%"});\n", + " var popup_5bb2aae46c6ad564d2623886f4a34e49 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_67dcf328de70c3c67b048fcd08f8dd8d = $(`<div id="html_67dcf328de70c3c67b048fcd08f8dd8d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_fdf6d8ee6a52a0166ac4c289c6426c66.setContent(html_67dcf328de70c3c67b048fcd08f8dd8d);\n", + " var html_728fdc5e0249b1fc4a41bc0f7914253a = $(`<div id="html_728fdc5e0249b1fc4a41bc0f7914253a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_5bb2aae46c6ad564d2623886f4a34e49.setContent(html_728fdc5e0249b1fc4a41bc0f7914253a);\n", " \n", "\n", - " circle_marker_717b800b74b3d80edf14f0e560a49763.bindPopup(popup_fdf6d8ee6a52a0166ac4c289c6426c66)\n", + " circle_marker_0cc3bafc43c3f6e7f747e3a9a43a1983.bindPopup(popup_5bb2aae46c6ad564d2623886f4a34e49)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_9eb198c13fc47e21bd0e721c90ea6d71 = L.circleMarker(\n", + " var circle_marker_79151154eaee075feda72b3af0a48c53 = L.circleMarker(\n", " [37.73923240960833, -122.41551073208204],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_a415838dcd84923beb700b7588fc0af9 = L.popup({"maxWidth": "100%"});\n", + " var popup_50fb603fa75d74df9f5c382803a88cb0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e4d04e884c8b2f0f31173c1a690986c0 = $(`<div id="html_e4d04e884c8b2f0f31173c1a690986c0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_a415838dcd84923beb700b7588fc0af9.setContent(html_e4d04e884c8b2f0f31173c1a690986c0);\n", + " var html_03f3438f60cd01f38356140fbda24050 = $(`<div id="html_03f3438f60cd01f38356140fbda24050" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_50fb603fa75d74df9f5c382803a88cb0.setContent(html_03f3438f60cd01f38356140fbda24050);\n", " \n", "\n", - " circle_marker_9eb198c13fc47e21bd0e721c90ea6d71.bindPopup(popup_a415838dcd84923beb700b7588fc0af9)\n", + " circle_marker_79151154eaee075feda72b3af0a48c53.bindPopup(popup_50fb603fa75d74df9f5c382803a88cb0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e2f9d385165dff155a18e8cbac1a6e49 = L.circleMarker(\n", + " var circle_marker_17b681954c7b4a51ea27e88812c91bee = L.circleMarker(\n", " [37.761078335088655, -122.42607748635427],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_1dbd183199a48814c01fd387d3ae67f9 = L.popup({"maxWidth": "100%"});\n", + " var popup_1baa1efcaef4106c672f6c458a968a22 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_3a979e0030da52203b62688bea54ef80 = $(`<div id="html_3a979e0030da52203b62688bea54ef80" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_1dbd183199a48814c01fd387d3ae67f9.setContent(html_3a979e0030da52203b62688bea54ef80);\n", + " var html_0477f05886a6502ef9135236e0fa0764 = $(`<div id="html_0477f05886a6502ef9135236e0fa0764" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1baa1efcaef4106c672f6c458a968a22.setContent(html_0477f05886a6502ef9135236e0fa0764);\n", " \n", "\n", - " circle_marker_e2f9d385165dff155a18e8cbac1a6e49.bindPopup(popup_1dbd183199a48814c01fd387d3ae67f9)\n", + " circle_marker_17b681954c7b4a51ea27e88812c91bee.bindPopup(popup_1baa1efcaef4106c672f6c458a968a22)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4aaf7b7cf724fe1f061ccaafa2f2e33f = L.circleMarker(\n", + " var circle_marker_b0fbd2a9497bc3d1852c04f4f6deb714 = L.circleMarker(\n", " [37.75805957305026, -122.4054100676619],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_006a0d9d1f8ebb7a70aad5c538307a64 = L.popup({"maxWidth": "100%"});\n", + " var popup_1b32ccd2a121625d52e753fb1141e5d8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_dc2a2637627ec09d2ced717f23325d1a = $(`<div id="html_dc2a2637627ec09d2ced717f23325d1a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_006a0d9d1f8ebb7a70aad5c538307a64.setContent(html_dc2a2637627ec09d2ced717f23325d1a);\n", + " var html_5388677822c01c0ed7cc825ebe3af2bb = $(`<div id="html_5388677822c01c0ed7cc825ebe3af2bb" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1b32ccd2a121625d52e753fb1141e5d8.setContent(html_5388677822c01c0ed7cc825ebe3af2bb);\n", " \n", "\n", - " circle_marker_4aaf7b7cf724fe1f061ccaafa2f2e33f.bindPopup(popup_006a0d9d1f8ebb7a70aad5c538307a64)\n", + " circle_marker_b0fbd2a9497bc3d1852c04f4f6deb714.bindPopup(popup_1b32ccd2a121625d52e753fb1141e5d8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8f688b4127f290afbe731762333c8b03 = L.circleMarker(\n", + " var circle_marker_d822f62c8c0225075bf9f35c4500dc10 = L.circleMarker(\n", " [37.73432756040431, -122.42006414249477],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c7ec564a42465d253c3508d6de1e5189 = L.popup({"maxWidth": "100%"});\n", + " var popup_b0d8b659b20520c3c4d4a872b4e68863 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6aa5ae1e0fa09651af30d78205242d72 = $(`<div id="html_6aa5ae1e0fa09651af30d78205242d72" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c7ec564a42465d253c3508d6de1e5189.setContent(html_6aa5ae1e0fa09651af30d78205242d72);\n", + " var html_1150b7805a2cbb6b5a4aa8abbfb1df8a = $(`<div id="html_1150b7805a2cbb6b5a4aa8abbfb1df8a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b0d8b659b20520c3c4d4a872b4e68863.setContent(html_1150b7805a2cbb6b5a4aa8abbfb1df8a);\n", " \n", "\n", - " circle_marker_8f688b4127f290afbe731762333c8b03.bindPopup(popup_c7ec564a42465d253c3508d6de1e5189)\n", + " circle_marker_d822f62c8c0225075bf9f35c4500dc10.bindPopup(popup_b0d8b659b20520c3c4d4a872b4e68863)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_02d18c0327553a83f769c2092172f117 = L.circleMarker(\n", + " var circle_marker_1bed7c5c96a5fcc8690e1d5891b6ce9d = L.circleMarker(\n", " [37.73950355490107, -122.41817054462335],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_85865dfce6deb6371fa64f4cb648de50 = L.popup({"maxWidth": "100%"});\n", + " var popup_197a6143f0f4da8edc30ad5556fa8833 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_022ae8d51a2629e63ec72b4600875f03 = $(`<div id="html_022ae8d51a2629e63ec72b4600875f03" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_85865dfce6deb6371fa64f4cb648de50.setContent(html_022ae8d51a2629e63ec72b4600875f03);\n", + " var html_ef8e07155dec65b905c599d96d11e194 = $(`<div id="html_ef8e07155dec65b905c599d96d11e194" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_197a6143f0f4da8edc30ad5556fa8833.setContent(html_ef8e07155dec65b905c599d96d11e194);\n", " \n", "\n", - " circle_marker_02d18c0327553a83f769c2092172f117.bindPopup(popup_85865dfce6deb6371fa64f4cb648de50)\n", + " circle_marker_1bed7c5c96a5fcc8690e1d5891b6ce9d.bindPopup(popup_197a6143f0f4da8edc30ad5556fa8833)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_25bfacf971396305821994c43e5cf11e = L.circleMarker(\n", + " var circle_marker_16ff4aba4ee06700a1284a59f3e0abb0 = L.circleMarker(\n", " [37.73658262871167, -122.40888503839128],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_d1a3c2f9565b596fd6df6f22fbb8a24d = L.popup({"maxWidth": "100%"});\n", + " var popup_f62d69f3d5a99af423c17c85ed838cb1 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_8f0a00e2faf98be08558d69115ec677a = $(`<div id="html_8f0a00e2faf98be08558d69115ec677a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_d1a3c2f9565b596fd6df6f22fbb8a24d.setContent(html_8f0a00e2faf98be08558d69115ec677a);\n", + " var html_9e8ef3343d607d9aa066abb1123a3a75 = $(`<div id="html_9e8ef3343d607d9aa066abb1123a3a75" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_f62d69f3d5a99af423c17c85ed838cb1.setContent(html_9e8ef3343d607d9aa066abb1123a3a75);\n", " \n", "\n", - " circle_marker_25bfacf971396305821994c43e5cf11e.bindPopup(popup_d1a3c2f9565b596fd6df6f22fbb8a24d)\n", + " circle_marker_16ff4aba4ee06700a1284a59f3e0abb0.bindPopup(popup_f62d69f3d5a99af423c17c85ed838cb1)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_02792c847a1e68d5283ddce38aad03be = L.circleMarker(\n", + " var circle_marker_723d755b3b6ed722ec7b721e49897293 = L.circleMarker(\n", " [37.73995333620304, -122.41140314623527],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_605799041fbed4c675f63469159987ce = L.popup({"maxWidth": "100%"});\n", + " var popup_81770303404c6fae4b3a00a53ae2686d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0e39f37ae0b271a847b72ddb445625a4 = $(`<div id="html_0e39f37ae0b271a847b72ddb445625a4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_605799041fbed4c675f63469159987ce.setContent(html_0e39f37ae0b271a847b72ddb445625a4);\n", + " var html_dc581be95b5138f7b79040266b439627 = $(`<div id="html_dc581be95b5138f7b79040266b439627" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_81770303404c6fae4b3a00a53ae2686d.setContent(html_dc581be95b5138f7b79040266b439627);\n", " \n", "\n", - " circle_marker_02792c847a1e68d5283ddce38aad03be.bindPopup(popup_605799041fbed4c675f63469159987ce)\n", + " circle_marker_723d755b3b6ed722ec7b721e49897293.bindPopup(popup_81770303404c6fae4b3a00a53ae2686d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c8bb12bf0287663d25cb31371b7743ab = L.circleMarker(\n", + " var circle_marker_d690e3554e072ad65a414a2477b9d22c = L.circleMarker(\n", " [37.750638766365256, -122.41783069338953],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_5b509b69881e8e91052d4e139b0d1c63 = L.popup({"maxWidth": "100%"});\n", + " var popup_d5d720f5d0ca9278c97eaf65a1a71193 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6c07e5ec9026609ec810902201e20569 = $(`<div id="html_6c07e5ec9026609ec810902201e20569" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_5b509b69881e8e91052d4e139b0d1c63.setContent(html_6c07e5ec9026609ec810902201e20569);\n", + " var html_9076ef55049211e7531b5c7c00b5ebf2 = $(`<div id="html_9076ef55049211e7531b5c7c00b5ebf2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_d5d720f5d0ca9278c97eaf65a1a71193.setContent(html_9076ef55049211e7531b5c7c00b5ebf2);\n", " \n", "\n", - " circle_marker_c8bb12bf0287663d25cb31371b7743ab.bindPopup(popup_5b509b69881e8e91052d4e139b0d1c63)\n", + " circle_marker_d690e3554e072ad65a414a2477b9d22c.bindPopup(popup_d5d720f5d0ca9278c97eaf65a1a71193)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f48f3f91cacfde9747be4d49e68b866e = L.circleMarker(\n", + " var circle_marker_47b435ba350fd3014ce5e2784e19db53 = L.circleMarker(\n", " [37.756449811909334, -122.40658575420164],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_1ffc130ebc70e0aed50ca31dc71a5a6b = L.popup({"maxWidth": "100%"});\n", + " var popup_7290a9bb9906dbded1704981cf51eff3 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e29745b94190d15b2dde145f341baf7b = $(`<div id="html_e29745b94190d15b2dde145f341baf7b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_1ffc130ebc70e0aed50ca31dc71a5a6b.setContent(html_e29745b94190d15b2dde145f341baf7b);\n", + " var html_d495e51e5979af0441798bb2e3155da0 = $(`<div id="html_d495e51e5979af0441798bb2e3155da0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_7290a9bb9906dbded1704981cf51eff3.setContent(html_d495e51e5979af0441798bb2e3155da0);\n", " \n", "\n", - " circle_marker_f48f3f91cacfde9747be4d49e68b866e.bindPopup(popup_1ffc130ebc70e0aed50ca31dc71a5a6b)\n", + " circle_marker_47b435ba350fd3014ce5e2784e19db53.bindPopup(popup_7290a9bb9906dbded1704981cf51eff3)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e842319301f7ebde7ec48451049dc9b7 = L.circleMarker(\n", + " var circle_marker_ab1c29d349642b2421b94e3d964dcffa = L.circleMarker(\n", " [37.73605302291012, -122.42166950005372],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_d808a45173db4226d443199705a63a31 = L.popup({"maxWidth": "100%"});\n", + " var popup_1188ffd23d9c53bc5ca6b2590cf50a94 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d1601c324e5b06bbd82d67af1490f239 = $(`<div id="html_d1601c324e5b06bbd82d67af1490f239" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_d808a45173db4226d443199705a63a31.setContent(html_d1601c324e5b06bbd82d67af1490f239);\n", + " var html_1c0ff7829d35c0446105f44fad9f5480 = $(`<div id="html_1c0ff7829d35c0446105f44fad9f5480" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1188ffd23d9c53bc5ca6b2590cf50a94.setContent(html_1c0ff7829d35c0446105f44fad9f5480);\n", " \n", "\n", - " circle_marker_e842319301f7ebde7ec48451049dc9b7.bindPopup(popup_d808a45173db4226d443199705a63a31)\n", + " circle_marker_ab1c29d349642b2421b94e3d964dcffa.bindPopup(popup_1188ffd23d9c53bc5ca6b2590cf50a94)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_fa8683e86f83d15f9338515640e86a35 = L.circleMarker(\n", + " var circle_marker_fb1e60a4904c4377e19870e50aad2255 = L.circleMarker(\n", " [37.74717190213178, -122.42187930857803],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6e272da199548d4e485f404619d6e73a = L.popup({"maxWidth": "100%"});\n", + " var popup_9ba908f5aeefc364bad34c920f8ac8e8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_aafb9170c16707eb37e722222ca1f9e2 = $(`<div id="html_aafb9170c16707eb37e722222ca1f9e2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6e272da199548d4e485f404619d6e73a.setContent(html_aafb9170c16707eb37e722222ca1f9e2);\n", + " var html_ab2c064a3862cbc14309ec37e2e324a6 = $(`<div id="html_ab2c064a3862cbc14309ec37e2e324a6" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9ba908f5aeefc364bad34c920f8ac8e8.setContent(html_ab2c064a3862cbc14309ec37e2e324a6);\n", " \n", "\n", - " circle_marker_fa8683e86f83d15f9338515640e86a35.bindPopup(popup_6e272da199548d4e485f404619d6e73a)\n", + " circle_marker_fb1e60a4904c4377e19870e50aad2255.bindPopup(popup_9ba908f5aeefc364bad34c920f8ac8e8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e726e7520258088cb390caf2e754291b = L.circleMarker(\n", + " var circle_marker_0f32905bdfc15bdcc80cbb7f9a9f3daa = L.circleMarker(\n", " [37.75537378026224, -122.41111606218875],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6df289980256ccd75356a285f04f56ab = L.popup({"maxWidth": "100%"});\n", + " var popup_6a8a751edc1bc8d6f18fc5a752d890da = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_73925a17af0f7e4e928c3dba7d78135e = $(`<div id="html_73925a17af0f7e4e928c3dba7d78135e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6df289980256ccd75356a285f04f56ab.setContent(html_73925a17af0f7e4e928c3dba7d78135e);\n", + " var html_3c7b417972b8e3a9186df76ed9957f13 = $(`<div id="html_3c7b417972b8e3a9186df76ed9957f13" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_6a8a751edc1bc8d6f18fc5a752d890da.setContent(html_3c7b417972b8e3a9186df76ed9957f13);\n", " \n", "\n", - " circle_marker_e726e7520258088cb390caf2e754291b.bindPopup(popup_6df289980256ccd75356a285f04f56ab)\n", + " circle_marker_0f32905bdfc15bdcc80cbb7f9a9f3daa.bindPopup(popup_6a8a751edc1bc8d6f18fc5a752d890da)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_05459ee73a1acff82fab814cb54cdf06 = L.circleMarker(\n", + " var circle_marker_8862ecb3a56056b2aaa9a239e875c734 = L.circleMarker(\n", " [37.74456173838566, -122.42133239235675],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9f0b2f65472cce2f5daa334175e613c4 = L.popup({"maxWidth": "100%"});\n", + " var popup_1a95f9a50c30f0be934c3c01b76c7b37 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_633631b44d22b1640d6058f11b053144 = $(`<div id="html_633631b44d22b1640d6058f11b053144" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9f0b2f65472cce2f5daa334175e613c4.setContent(html_633631b44d22b1640d6058f11b053144);\n", + " var html_1db8b2bb0bb2ff8f32e82dff1b7210b6 = $(`<div id="html_1db8b2bb0bb2ff8f32e82dff1b7210b6" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1a95f9a50c30f0be934c3c01b76c7b37.setContent(html_1db8b2bb0bb2ff8f32e82dff1b7210b6);\n", " \n", "\n", - " circle_marker_05459ee73a1acff82fab814cb54cdf06.bindPopup(popup_9f0b2f65472cce2f5daa334175e613c4)\n", + " circle_marker_8862ecb3a56056b2aaa9a239e875c734.bindPopup(popup_1a95f9a50c30f0be934c3c01b76c7b37)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f548d2e4e0f94ab7505e170f86feca1a = L.circleMarker(\n", + " var circle_marker_633684176d11d4985b42bbe2cdb95426 = L.circleMarker(\n", " [37.75855610670547, -122.42394850602186],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_477f63f514c7011aaef679466951f39f = L.popup({"maxWidth": "100%"});\n", + " var popup_21b5c06038c50e96b9dc7e93da84a306 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a57d8b0e5f4247ff0ba15979391710f7 = $(`<div id="html_a57d8b0e5f4247ff0ba15979391710f7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_477f63f514c7011aaef679466951f39f.setContent(html_a57d8b0e5f4247ff0ba15979391710f7);\n", + " var html_40690fc6a1b24359457b67b24965a9d0 = $(`<div id="html_40690fc6a1b24359457b67b24965a9d0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_21b5c06038c50e96b9dc7e93da84a306.setContent(html_40690fc6a1b24359457b67b24965a9d0);\n", " \n", "\n", - " circle_marker_f548d2e4e0f94ab7505e170f86feca1a.bindPopup(popup_477f63f514c7011aaef679466951f39f)\n", + " circle_marker_633684176d11d4985b42bbe2cdb95426.bindPopup(popup_21b5c06038c50e96b9dc7e93da84a306)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2e473c2a3b2319d9bde1c2247281668b = L.circleMarker(\n", + " var circle_marker_1696deea8d9a283bb36bd055b226fb79 = L.circleMarker(\n", " [37.75817465417819, -122.40867766046134],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_b2ad1212eb03859c59ba7241b0afa4c5 = L.popup({"maxWidth": "100%"});\n", + " var popup_166e2fdd658fd49f8de697f42628c989 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_1d0a3f8cc1dca46956bebf7adec55a94 = $(`<div id="html_1d0a3f8cc1dca46956bebf7adec55a94" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_b2ad1212eb03859c59ba7241b0afa4c5.setContent(html_1d0a3f8cc1dca46956bebf7adec55a94);\n", + " var html_cbe3770b74ecc398044b516a8d9680be = $(`<div id="html_cbe3770b74ecc398044b516a8d9680be" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_166e2fdd658fd49f8de697f42628c989.setContent(html_cbe3770b74ecc398044b516a8d9680be);\n", " \n", "\n", - " circle_marker_2e473c2a3b2319d9bde1c2247281668b.bindPopup(popup_b2ad1212eb03859c59ba7241b0afa4c5)\n", + " circle_marker_1696deea8d9a283bb36bd055b226fb79.bindPopup(popup_166e2fdd658fd49f8de697f42628c989)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f8a46c62201643f94f64ae7de8e718c6 = L.circleMarker(\n", + " var circle_marker_7a792223580008d9e936ca780896730f = L.circleMarker(\n", " [37.74435235234791, -122.42194819694559],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_639f097cce02336c5104622551bbde65 = L.popup({"maxWidth": "100%"});\n", + " var popup_2bf2d4677b5f08de19dc54e38a9a1602 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2fead024adf76808a95ffcc20d45ec55 = $(`<div id="html_2fead024adf76808a95ffcc20d45ec55" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_639f097cce02336c5104622551bbde65.setContent(html_2fead024adf76808a95ffcc20d45ec55);\n", + " var html_bc87c500c87ff3e615d474dfec494c1d = $(`<div id="html_bc87c500c87ff3e615d474dfec494c1d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_2bf2d4677b5f08de19dc54e38a9a1602.setContent(html_bc87c500c87ff3e615d474dfec494c1d);\n", " \n", "\n", - " circle_marker_f8a46c62201643f94f64ae7de8e718c6.bindPopup(popup_639f097cce02336c5104622551bbde65)\n", + " circle_marker_7a792223580008d9e936ca780896730f.bindPopup(popup_2bf2d4677b5f08de19dc54e38a9a1602)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e3fe3773932852780595de5e6717adc5 = L.circleMarker(\n", + " var circle_marker_0d2395488d6b7fdfca8ef147826eb677 = L.circleMarker(\n", " [37.740893604514234, -122.41356130372293],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_bb1df5128707e6e7ff94016cf78c322b = L.popup({"maxWidth": "100%"});\n", + " var popup_baab4b2c26452c462c3ad6537ac1a24c = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a1ca92f430a9f60ea97d88598fb5af48 = $(`<div id="html_a1ca92f430a9f60ea97d88598fb5af48" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_bb1df5128707e6e7ff94016cf78c322b.setContent(html_a1ca92f430a9f60ea97d88598fb5af48);\n", + " var html_af9f1d75eeda397c11991ae13c00ebd9 = $(`<div id="html_af9f1d75eeda397c11991ae13c00ebd9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_baab4b2c26452c462c3ad6537ac1a24c.setContent(html_af9f1d75eeda397c11991ae13c00ebd9);\n", " \n", "\n", - " circle_marker_e3fe3773932852780595de5e6717adc5.bindPopup(popup_bb1df5128707e6e7ff94016cf78c322b)\n", + " circle_marker_0d2395488d6b7fdfca8ef147826eb677.bindPopup(popup_baab4b2c26452c462c3ad6537ac1a24c)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_96aa863489704f0442b5237c806ad1e2 = L.circleMarker(\n", + " var circle_marker_5f9b7d1c6b5ece8cc3b8b4360255c0ea = L.circleMarker(\n", " [37.7382987149878, -122.4191004858632],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9feee4470eef97707dfb50c1454f398a = L.popup({"maxWidth": "100%"});\n", + " var popup_d2d2187d76df34f7c463206968acc2f5 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_849a87c9145143583daaee79fc27bac5 = $(`<div id="html_849a87c9145143583daaee79fc27bac5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9feee4470eef97707dfb50c1454f398a.setContent(html_849a87c9145143583daaee79fc27bac5);\n", + " var html_7de7614e0a475663ff564cd72bb86d90 = $(`<div id="html_7de7614e0a475663ff564cd72bb86d90" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_d2d2187d76df34f7c463206968acc2f5.setContent(html_7de7614e0a475663ff564cd72bb86d90);\n", " \n", "\n", - " circle_marker_96aa863489704f0442b5237c806ad1e2.bindPopup(popup_9feee4470eef97707dfb50c1454f398a)\n", + " circle_marker_5f9b7d1c6b5ece8cc3b8b4360255c0ea.bindPopup(popup_d2d2187d76df34f7c463206968acc2f5)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ee75a6bf4194d002b4eb9237ae0f6f01 = L.circleMarker(\n", + " var circle_marker_c1bf9901682bfa362548257af53b148e = L.circleMarker(\n", " [37.73307788209335, -122.41682592303474],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_a4408ba79f841f0940d8bf74b227844c = L.popup({"maxWidth": "100%"});\n", + " var popup_cb8c5ec384cafd27c0ca38c26b9716d0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_11e05c498ba5a4cd739697023bbcf09a = $(`<div id="html_11e05c498ba5a4cd739697023bbcf09a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_a4408ba79f841f0940d8bf74b227844c.setContent(html_11e05c498ba5a4cd739697023bbcf09a);\n", + " var html_a917f40e9cfb294fffca223c9b9a1dcd = $(`<div id="html_a917f40e9cfb294fffca223c9b9a1dcd" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_cb8c5ec384cafd27c0ca38c26b9716d0.setContent(html_a917f40e9cfb294fffca223c9b9a1dcd);\n", " \n", "\n", - " circle_marker_ee75a6bf4194d002b4eb9237ae0f6f01.bindPopup(popup_a4408ba79f841f0940d8bf74b227844c)\n", + " circle_marker_c1bf9901682bfa362548257af53b148e.bindPopup(popup_cb8c5ec384cafd27c0ca38c26b9716d0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1268a054d1c9f2eae271134103c478d6 = L.circleMarker(\n", + " var circle_marker_a49590599d61f226648aea2bd70c2968 = L.circleMarker(\n", " [37.742057632289225, -122.41531864893646],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_36a8ae32b5973fbd7e0a71ddaab7966b = L.popup({"maxWidth": "100%"});\n", + " var popup_3f12595d6536367eb69a93f628aaf7aa = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0e22f25700d47eaf4da2606045e0c3aa = $(`<div id="html_0e22f25700d47eaf4da2606045e0c3aa" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_36a8ae32b5973fbd7e0a71ddaab7966b.setContent(html_0e22f25700d47eaf4da2606045e0c3aa);\n", + " var html_78e05fcdc196378a54796225f6414197 = $(`<div id="html_78e05fcdc196378a54796225f6414197" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3f12595d6536367eb69a93f628aaf7aa.setContent(html_78e05fcdc196378a54796225f6414197);\n", " \n", "\n", - " circle_marker_1268a054d1c9f2eae271134103c478d6.bindPopup(popup_36a8ae32b5973fbd7e0a71ddaab7966b)\n", + " circle_marker_a49590599d61f226648aea2bd70c2968.bindPopup(popup_3f12595d6536367eb69a93f628aaf7aa)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_79ea9b998cc12374291a99cee6717b16 = L.circleMarker(\n", + " var circle_marker_a232f17beb225c56eb2ab750a65fc56e = L.circleMarker(\n", " [37.76440867305686, -122.41381831239967],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_5065f1ef9eec651b35af21b9c3dd7e6e = L.popup({"maxWidth": "100%"});\n", + " var popup_127e98876ff327d58f53e39cf811062a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_56501683fae666c263f9a5dd68d9d843 = $(`<div id="html_56501683fae666c263f9a5dd68d9d843" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_5065f1ef9eec651b35af21b9c3dd7e6e.setContent(html_56501683fae666c263f9a5dd68d9d843);\n", + " var html_795d35e3d0e82c8a862cddcd119a0d35 = $(`<div id="html_795d35e3d0e82c8a862cddcd119a0d35" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_127e98876ff327d58f53e39cf811062a.setContent(html_795d35e3d0e82c8a862cddcd119a0d35);\n", " \n", "\n", - " circle_marker_79ea9b998cc12374291a99cee6717b16.bindPopup(popup_5065f1ef9eec651b35af21b9c3dd7e6e)\n", + " circle_marker_a232f17beb225c56eb2ab750a65fc56e.bindPopup(popup_127e98876ff327d58f53e39cf811062a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d8493ef045f3e7f5c2271740274a12c9 = L.circleMarker(\n", + " var circle_marker_8090b6de967c0eba6b92824b6058d302 = L.circleMarker(\n", " [37.74901705715819, -122.41757863525594],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_db316df09dfd91aa533faaa7667a13f3 = L.popup({"maxWidth": "100%"});\n", + " var popup_3e4bdfd4f1e8fa5234154457ea1e18f2 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_88980c56773521896c117653cfd77afd = $(`<div id="html_88980c56773521896c117653cfd77afd" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_db316df09dfd91aa533faaa7667a13f3.setContent(html_88980c56773521896c117653cfd77afd);\n", + " var html_e1bec6623e94c7582d05dcd7a9cddb0c = $(`<div id="html_e1bec6623e94c7582d05dcd7a9cddb0c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3e4bdfd4f1e8fa5234154457ea1e18f2.setContent(html_e1bec6623e94c7582d05dcd7a9cddb0c);\n", " \n", "\n", - " circle_marker_d8493ef045f3e7f5c2271740274a12c9.bindPopup(popup_db316df09dfd91aa533faaa7667a13f3)\n", + " circle_marker_8090b6de967c0eba6b92824b6058d302.bindPopup(popup_3e4bdfd4f1e8fa5234154457ea1e18f2)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b775331aff58f47079d6abd196675251 = L.circleMarker(\n", + " var circle_marker_0441fdf7eb65b1d49fce874fc2fc5338 = L.circleMarker(\n", " [37.75488633070316, -122.41487544794536],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_3dc2a2db9960faf84ede6efbefe03ccf = L.popup({"maxWidth": "100%"});\n", + " var popup_c98cff13f27b8ef2bb74def288c630a8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_156b7ea276a58a9be3a0e5c6492e0adb = $(`<div id="html_156b7ea276a58a9be3a0e5c6492e0adb" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_3dc2a2db9960faf84ede6efbefe03ccf.setContent(html_156b7ea276a58a9be3a0e5c6492e0adb);\n", + " var html_699b8812bc4f9feeea8862b0bf31c972 = $(`<div id="html_699b8812bc4f9feeea8862b0bf31c972" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_c98cff13f27b8ef2bb74def288c630a8.setContent(html_699b8812bc4f9feeea8862b0bf31c972);\n", " \n", "\n", - " circle_marker_b775331aff58f47079d6abd196675251.bindPopup(popup_3dc2a2db9960faf84ede6efbefe03ccf)\n", + " circle_marker_0441fdf7eb65b1d49fce874fc2fc5338.bindPopup(popup_c98cff13f27b8ef2bb74def288c630a8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_38fe0044e6da766135e9bb843088f5dc = L.circleMarker(\n", + " var circle_marker_1e0dbce06d2bd4d2d4936f6c795fc906 = L.circleMarker(\n", " [37.73596321664609, -122.42148375412637],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4c82e4565e731df582011ddff3c3044e = L.popup({"maxWidth": "100%"});\n", + " var popup_58e495246279fb4b8949535390280097 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_9996262ffb57c375d262b34681f7de38 = $(`<div id="html_9996262ffb57c375d262b34681f7de38" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4c82e4565e731df582011ddff3c3044e.setContent(html_9996262ffb57c375d262b34681f7de38);\n", + " var html_8282fb145bbedc4171c48b5096c48d9d = $(`<div id="html_8282fb145bbedc4171c48b5096c48d9d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_58e495246279fb4b8949535390280097.setContent(html_8282fb145bbedc4171c48b5096c48d9d);\n", " \n", "\n", - " circle_marker_38fe0044e6da766135e9bb843088f5dc.bindPopup(popup_4c82e4565e731df582011ddff3c3044e)\n", + " circle_marker_1e0dbce06d2bd4d2d4936f6c795fc906.bindPopup(popup_58e495246279fb4b8949535390280097)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_aa93d2fa5f7de921b971607e2b714772 = L.circleMarker(\n", + " var circle_marker_63adac5978044af1400eff2a542591a1 = L.circleMarker(\n", " [37.764304983194315, -122.41854278041016],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_df07e50390cb32a86c0d2b0670e2fc10 = L.popup({"maxWidth": "100%"});\n", + " var popup_6d1c9353b8353e37687c8542302c35ad = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a989145a4e62b57bf517d8d397fcf2f4 = $(`<div id="html_a989145a4e62b57bf517d8d397fcf2f4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_df07e50390cb32a86c0d2b0670e2fc10.setContent(html_a989145a4e62b57bf517d8d397fcf2f4);\n", + " var html_d4a6f8863b4b321d7329d0b4cfa36038 = $(`<div id="html_d4a6f8863b4b321d7329d0b4cfa36038" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_6d1c9353b8353e37687c8542302c35ad.setContent(html_d4a6f8863b4b321d7329d0b4cfa36038);\n", " \n", "\n", - " circle_marker_aa93d2fa5f7de921b971607e2b714772.bindPopup(popup_df07e50390cb32a86c0d2b0670e2fc10)\n", + " circle_marker_63adac5978044af1400eff2a542591a1.bindPopup(popup_6d1c9353b8353e37687c8542302c35ad)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_afd6f80f4c6417bb6654e841655949ae = L.circleMarker(\n", + " var circle_marker_156c2b1708f9febf74b2b5d1f3130934 = L.circleMarker(\n", " [37.76250964248838, -122.42379568293042],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9faa9b33e6408a7126aeca7afbfaa34e = L.popup({"maxWidth": "100%"});\n", + " var popup_3523c11c7fd582dd196ef338e6d0df5c = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_46f8acfbc2253d446331efa93974b030 = $(`<div id="html_46f8acfbc2253d446331efa93974b030" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9faa9b33e6408a7126aeca7afbfaa34e.setContent(html_46f8acfbc2253d446331efa93974b030);\n", + " var html_17f706eec358c7cb13d168cc751cfa13 = $(`<div id="html_17f706eec358c7cb13d168cc751cfa13" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3523c11c7fd582dd196ef338e6d0df5c.setContent(html_17f706eec358c7cb13d168cc751cfa13);\n", " \n", "\n", - " circle_marker_afd6f80f4c6417bb6654e841655949ae.bindPopup(popup_9faa9b33e6408a7126aeca7afbfaa34e)\n", + " circle_marker_156c2b1708f9febf74b2b5d1f3130934.bindPopup(popup_3523c11c7fd582dd196ef338e6d0df5c)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_41eeeddc45f03b7b0cc428301e7550db = L.circleMarker(\n", + " var circle_marker_d8d8af745c1225fe245db4adc7bed92f = L.circleMarker(\n", " [37.747198302368524, -122.41468049513983],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_331a566b3bb17fe3626e753f8d5df77c = L.popup({"maxWidth": "100%"});\n", + " var popup_4366302903359fac8747ca581f8dc70f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_1ccc7855398e979072576e8e98e28d5d = $(`<div id="html_1ccc7855398e979072576e8e98e28d5d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_331a566b3bb17fe3626e753f8d5df77c.setContent(html_1ccc7855398e979072576e8e98e28d5d);\n", + " var html_167db4eaab3d9ed6c498bc85ccc0ce46 = $(`<div id="html_167db4eaab3d9ed6c498bc85ccc0ce46" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_4366302903359fac8747ca581f8dc70f.setContent(html_167db4eaab3d9ed6c498bc85ccc0ce46);\n", " \n", "\n", - " circle_marker_41eeeddc45f03b7b0cc428301e7550db.bindPopup(popup_331a566b3bb17fe3626e753f8d5df77c)\n", + " circle_marker_d8d8af745c1225fe245db4adc7bed92f.bindPopup(popup_4366302903359fac8747ca581f8dc70f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_79827b88415ca07a60a830dd0d211742 = L.circleMarker(\n", + " var circle_marker_3cec806d8dd39f2325b924ab8d61d771 = L.circleMarker(\n", " [37.74725626848265, -122.40603654972017],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_1de16b6db75bffa0fbf50a3b2adadefa = L.popup({"maxWidth": "100%"});\n", + " var popup_622f9ca847b41144015b70465c785489 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2388079cefbee9891b366eaf6eef4dd2 = $(`<div id="html_2388079cefbee9891b366eaf6eef4dd2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_1de16b6db75bffa0fbf50a3b2adadefa.setContent(html_2388079cefbee9891b366eaf6eef4dd2);\n", + " var html_ced194ca7aa35f15aefebb1a7d383923 = $(`<div id="html_ced194ca7aa35f15aefebb1a7d383923" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_622f9ca847b41144015b70465c785489.setContent(html_ced194ca7aa35f15aefebb1a7d383923);\n", " \n", "\n", - " circle_marker_79827b88415ca07a60a830dd0d211742.bindPopup(popup_1de16b6db75bffa0fbf50a3b2adadefa)\n", + " circle_marker_3cec806d8dd39f2325b924ab8d61d771.bindPopup(popup_622f9ca847b41144015b70465c785489)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8e554585eec1a16bcce258502553a4d9 = L.circleMarker(\n", + " var circle_marker_581f92c1dcbec8be98e49427dec9dcbd = L.circleMarker(\n", " [37.745215819217684, -122.41007117187876],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9a299a6ccb4f0060323fbd09bdb0e907 = L.popup({"maxWidth": "100%"});\n", + " var popup_78ce0d5e28881687c0076b2704b7e118 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6e7b1601d333ba3946b5a978dd6ca51d = $(`<div id="html_6e7b1601d333ba3946b5a978dd6ca51d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9a299a6ccb4f0060323fbd09bdb0e907.setContent(html_6e7b1601d333ba3946b5a978dd6ca51d);\n", + " var html_ba5b3d91c0284aa9d31d1db8e921bc33 = $(`<div id="html_ba5b3d91c0284aa9d31d1db8e921bc33" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_78ce0d5e28881687c0076b2704b7e118.setContent(html_ba5b3d91c0284aa9d31d1db8e921bc33);\n", " \n", "\n", - " circle_marker_8e554585eec1a16bcce258502553a4d9.bindPopup(popup_9a299a6ccb4f0060323fbd09bdb0e907)\n", + " circle_marker_581f92c1dcbec8be98e49427dec9dcbd.bindPopup(popup_78ce0d5e28881687c0076b2704b7e118)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4c4265452a038f8b9f51438d1ac0023e = L.circleMarker(\n", + " var circle_marker_43ead973119e93aac4790cc56b3410e2 = L.circleMarker(\n", " [37.75518197689151, -122.40547424149503],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_809d8bf83254ceae92574429c67bee4f = L.popup({"maxWidth": "100%"});\n", + " var popup_3490801baae024eb5a6fb94957c7b6a7 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ae2180b761bf1823c2f0c93f59adca94 = $(`<div id="html_ae2180b761bf1823c2f0c93f59adca94" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_809d8bf83254ceae92574429c67bee4f.setContent(html_ae2180b761bf1823c2f0c93f59adca94);\n", + " var html_176c8561bf3182241f88def48dbcdff4 = $(`<div id="html_176c8561bf3182241f88def48dbcdff4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3490801baae024eb5a6fb94957c7b6a7.setContent(html_176c8561bf3182241f88def48dbcdff4);\n", " \n", "\n", - " circle_marker_4c4265452a038f8b9f51438d1ac0023e.bindPopup(popup_809d8bf83254ceae92574429c67bee4f)\n", + " circle_marker_43ead973119e93aac4790cc56b3410e2.bindPopup(popup_3490801baae024eb5a6fb94957c7b6a7)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7812dfe4dd59f129c7b66939ee0ddf48 = L.circleMarker(\n", + " var circle_marker_2f7f28b36f30ea2a4d30b4743913896b = L.circleMarker(\n", " [37.742773768312524, -122.41069845878158],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_86a3ac22d6f4a1ec53b38c45b80317ef = L.popup({"maxWidth": "100%"});\n", + " var popup_28e087a371cb2b04cf9938ac24fcc7a7 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_323a7759916a7038af102cf0486e6baf = $(`<div id="html_323a7759916a7038af102cf0486e6baf" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_86a3ac22d6f4a1ec53b38c45b80317ef.setContent(html_323a7759916a7038af102cf0486e6baf);\n", + " var html_8be47fb549d46b547893cec07bf55bfe = $(`<div id="html_8be47fb549d46b547893cec07bf55bfe" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_28e087a371cb2b04cf9938ac24fcc7a7.setContent(html_8be47fb549d46b547893cec07bf55bfe);\n", " \n", "\n", - " circle_marker_7812dfe4dd59f129c7b66939ee0ddf48.bindPopup(popup_86a3ac22d6f4a1ec53b38c45b80317ef)\n", + " circle_marker_2f7f28b36f30ea2a4d30b4743913896b.bindPopup(popup_28e087a371cb2b04cf9938ac24fcc7a7)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1f16bc9bb72a204072ffb14a80c1b447 = L.circleMarker(\n", + " var circle_marker_9632fdf541388c751848bff3c87fff04 = L.circleMarker(\n", " [37.75333381902695, -122.40923776500622],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_8735d54d0de5f8215899b32a94ba092e = L.popup({"maxWidth": "100%"});\n", + " var popup_3479e700c53d5fca8f575e8c1d74235d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_74029a7999987ebb9632b14d6fc7fa05 = $(`<div id="html_74029a7999987ebb9632b14d6fc7fa05" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_8735d54d0de5f8215899b32a94ba092e.setContent(html_74029a7999987ebb9632b14d6fc7fa05);\n", + " var html_e018a14128febb724ab02cc91105c359 = $(`<div id="html_e018a14128febb724ab02cc91105c359" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3479e700c53d5fca8f575e8c1d74235d.setContent(html_e018a14128febb724ab02cc91105c359);\n", " \n", "\n", - " circle_marker_1f16bc9bb72a204072ffb14a80c1b447.bindPopup(popup_8735d54d0de5f8215899b32a94ba092e)\n", + " circle_marker_9632fdf541388c751848bff3c87fff04.bindPopup(popup_3479e700c53d5fca8f575e8c1d74235d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2a2c23ddd835f67f8bd77a9ea8b70f22 = L.circleMarker(\n", + " var circle_marker_e81e0d214a33e7feb45b1f41158d6ab1 = L.circleMarker(\n", " [37.737048133592474, -122.42244404189351],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_ef7fb2b3f3f4f00f8097bad38d88aeb2 = L.popup({"maxWidth": "100%"});\n", + " var popup_d86b69558ac4ddfe9727d1d6603ebd65 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_403707ec98e1fb8d3fa0aa10672a33a8 = $(`<div id="html_403707ec98e1fb8d3fa0aa10672a33a8" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_ef7fb2b3f3f4f00f8097bad38d88aeb2.setContent(html_403707ec98e1fb8d3fa0aa10672a33a8);\n", + " var html_3a885ae9301edfa4e26b953b16fb0a2b = $(`<div id="html_3a885ae9301edfa4e26b953b16fb0a2b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_d86b69558ac4ddfe9727d1d6603ebd65.setContent(html_3a885ae9301edfa4e26b953b16fb0a2b);\n", " \n", "\n", - " circle_marker_2a2c23ddd835f67f8bd77a9ea8b70f22.bindPopup(popup_ef7fb2b3f3f4f00f8097bad38d88aeb2)\n", + " circle_marker_e81e0d214a33e7feb45b1f41158d6ab1.bindPopup(popup_d86b69558ac4ddfe9727d1d6603ebd65)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_753437e93e62331f338e8cd7e588b585 = L.circleMarker(\n", + " var circle_marker_c95d3a58976281e3884b6ea2e01ea0fe = L.circleMarker(\n", " [37.76439953782074, -122.40822541947725],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_b32f5427a0f994ecbf26c5727f49ff37 = L.popup({"maxWidth": "100%"});\n", + " var popup_e89c4f8c47196c8eb5ee9011fab3bceb = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f15cacd4081c75c64ceca1cb1473eca1 = $(`<div id="html_f15cacd4081c75c64ceca1cb1473eca1" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_b32f5427a0f994ecbf26c5727f49ff37.setContent(html_f15cacd4081c75c64ceca1cb1473eca1);\n", + " var html_d1dc1c3abe1635c8eee66223e34e9046 = $(`<div id="html_d1dc1c3abe1635c8eee66223e34e9046" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_e89c4f8c47196c8eb5ee9011fab3bceb.setContent(html_d1dc1c3abe1635c8eee66223e34e9046);\n", " \n", "\n", - " circle_marker_753437e93e62331f338e8cd7e588b585.bindPopup(popup_b32f5427a0f994ecbf26c5727f49ff37)\n", + " circle_marker_c95d3a58976281e3884b6ea2e01ea0fe.bindPopup(popup_e89c4f8c47196c8eb5ee9011fab3bceb)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_40e2689b1bd085cdac58b7490b9b9641 = L.circleMarker(\n", + " var circle_marker_d338e48297e575b77d234af5a694fe00 = L.circleMarker(\n", " [37.751790025694, -122.41686980413054],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c639cb4a6692ed7411f72cbc37007e14 = L.popup({"maxWidth": "100%"});\n", + " var popup_9d70256c2a002691dae2198b428cb0bd = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_b4f924be8272353c4fcb768122c4d937 = $(`<div id="html_b4f924be8272353c4fcb768122c4d937" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c639cb4a6692ed7411f72cbc37007e14.setContent(html_b4f924be8272353c4fcb768122c4d937);\n", + " var html_ece977728bed1eba94fc45cdecc596c8 = $(`<div id="html_ece977728bed1eba94fc45cdecc596c8" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9d70256c2a002691dae2198b428cb0bd.setContent(html_ece977728bed1eba94fc45cdecc596c8);\n", " \n", "\n", - " circle_marker_40e2689b1bd085cdac58b7490b9b9641.bindPopup(popup_c639cb4a6692ed7411f72cbc37007e14)\n", + " circle_marker_d338e48297e575b77d234af5a694fe00.bindPopup(popup_9d70256c2a002691dae2198b428cb0bd)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f30a8bb019b270b677a0b4df82fa4a88 = L.circleMarker(\n", + " var circle_marker_3d5d3c1ae30d35482def8c603bbab5b8 = L.circleMarker(\n", " [37.74720898883046, -122.406658040105],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_12015af84322eb24a390942998f342a0 = L.popup({"maxWidth": "100%"});\n", + " var popup_28e2b337091e57c1aaa9dc1e9e8d32ec = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ea6e183c7e6c14e47ef5f504c979bf80 = $(`<div id="html_ea6e183c7e6c14e47ef5f504c979bf80" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_12015af84322eb24a390942998f342a0.setContent(html_ea6e183c7e6c14e47ef5f504c979bf80);\n", + " var html_498cb94b353e1384f05a5de3097eebd7 = $(`<div id="html_498cb94b353e1384f05a5de3097eebd7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_28e2b337091e57c1aaa9dc1e9e8d32ec.setContent(html_498cb94b353e1384f05a5de3097eebd7);\n", " \n", "\n", - " circle_marker_f30a8bb019b270b677a0b4df82fa4a88.bindPopup(popup_12015af84322eb24a390942998f342a0)\n", + " circle_marker_3d5d3c1ae30d35482def8c603bbab5b8.bindPopup(popup_28e2b337091e57c1aaa9dc1e9e8d32ec)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bd7031696b9783c9981abe61dab26bfb = L.circleMarker(\n", + " var circle_marker_95afbc7cec1ce8b7f5e1db053f0f4aba = L.circleMarker(\n", " [37.75126832579771, -122.40425189587008],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_ca305749eea4646ab4149c5623edebad = L.popup({"maxWidth": "100%"});\n", + " var popup_a7ee26623587afaeb41def702d78d1a0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_43e0b63564bbcf39deb1188be557c7bd = $(`<div id="html_43e0b63564bbcf39deb1188be557c7bd" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_ca305749eea4646ab4149c5623edebad.setContent(html_43e0b63564bbcf39deb1188be557c7bd);\n", + " var html_9632d8a044332561ac8c7980cebe31f3 = $(`<div id="html_9632d8a044332561ac8c7980cebe31f3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a7ee26623587afaeb41def702d78d1a0.setContent(html_9632d8a044332561ac8c7980cebe31f3);\n", " \n", "\n", - " circle_marker_bd7031696b9783c9981abe61dab26bfb.bindPopup(popup_ca305749eea4646ab4149c5623edebad)\n", + " circle_marker_95afbc7cec1ce8b7f5e1db053f0f4aba.bindPopup(popup_a7ee26623587afaeb41def702d78d1a0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_3dfb1c7b5ca88376d5b48722720665f0 = L.circleMarker(\n", + " var circle_marker_a5f6b6e37f95c774ab4d06e7539f3d8a = L.circleMarker(\n", " [37.762676079668196, -122.40760247546336],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_7bf565bce09f27070a2c5809a94838fd = L.popup({"maxWidth": "100%"});\n", + " var popup_7370c451b39e404be04c5329d88aa4e4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6543cb03c501d4709feb4ffc20844a3f = $(`<div id="html_6543cb03c501d4709feb4ffc20844a3f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_7bf565bce09f27070a2c5809a94838fd.setContent(html_6543cb03c501d4709feb4ffc20844a3f);\n", + " var html_50874e1ea689f5188da971dddf706e2d = $(`<div id="html_50874e1ea689f5188da971dddf706e2d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_7370c451b39e404be04c5329d88aa4e4.setContent(html_50874e1ea689f5188da971dddf706e2d);\n", " \n", "\n", - " circle_marker_3dfb1c7b5ca88376d5b48722720665f0.bindPopup(popup_7bf565bce09f27070a2c5809a94838fd)\n", + " circle_marker_a5f6b6e37f95c774ab4d06e7539f3d8a.bindPopup(popup_7370c451b39e404be04c5329d88aa4e4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a429c076f88ea506bb0b68f44cfdb507 = L.circleMarker(\n", + " var circle_marker_fc555e3a05e7039e3c87dcf62a6d2f6d = L.circleMarker(\n", " [37.7451955764892, -122.41250587149135],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4dd619ea42eb21191f98bf96f410e9c8 = L.popup({"maxWidth": "100%"});\n", + " var popup_46f7492f07c868f2dbe82041a0b8209e = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_3e1fde37be7c9d41323e3b473eeb6328 = $(`<div id="html_3e1fde37be7c9d41323e3b473eeb6328" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4dd619ea42eb21191f98bf96f410e9c8.setContent(html_3e1fde37be7c9d41323e3b473eeb6328);\n", + " var html_9f07e4e40c85dad714ce98e9b8c29a0a = $(`<div id="html_9f07e4e40c85dad714ce98e9b8c29a0a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_46f7492f07c868f2dbe82041a0b8209e.setContent(html_9f07e4e40c85dad714ce98e9b8c29a0a);\n", " \n", "\n", - " circle_marker_a429c076f88ea506bb0b68f44cfdb507.bindPopup(popup_4dd619ea42eb21191f98bf96f410e9c8)\n", + " circle_marker_fc555e3a05e7039e3c87dcf62a6d2f6d.bindPopup(popup_46f7492f07c868f2dbe82041a0b8209e)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7b45614b40d00e0e0015446659261687 = L.circleMarker(\n", + " var circle_marker_4d5c9be36a21d198f4714b984b2c86fc = L.circleMarker(\n", " [37.760627863987054, -122.42196706998658],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9f6f28037a65075d77e48517855b95f8 = L.popup({"maxWidth": "100%"});\n", + " var popup_ab5570cac2f133fa3b43a2043aa60617 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_538a910987e548e1e21394e958083181 = $(`<div id="html_538a910987e548e1e21394e958083181" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9f6f28037a65075d77e48517855b95f8.setContent(html_538a910987e548e1e21394e958083181);\n", + " var html_b43ef3baf016c62ed19e99a3259d666e = $(`<div id="html_b43ef3baf016c62ed19e99a3259d666e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ab5570cac2f133fa3b43a2043aa60617.setContent(html_b43ef3baf016c62ed19e99a3259d666e);\n", " \n", "\n", - " circle_marker_7b45614b40d00e0e0015446659261687.bindPopup(popup_9f6f28037a65075d77e48517855b95f8)\n", + " circle_marker_4d5c9be36a21d198f4714b984b2c86fc.bindPopup(popup_ab5570cac2f133fa3b43a2043aa60617)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4d50349226d289e5bbc17403a6e61303 = L.circleMarker(\n", + " var circle_marker_6db4a76725d53aa6238659d313f873f3 = L.circleMarker(\n", " [37.743766497582506, -122.41949619370845],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_3d825f3554dad29f8677534ca1c9ad15 = L.popup({"maxWidth": "100%"});\n", + " var popup_07572a9248326d49025dd93b08f627e5 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d4ea5b919a9ec24eaf19a7aadf897aee = $(`<div id="html_d4ea5b919a9ec24eaf19a7aadf897aee" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_3d825f3554dad29f8677534ca1c9ad15.setContent(html_d4ea5b919a9ec24eaf19a7aadf897aee);\n", + " var html_30b63a0b459fb9c28b683ff8170ddb69 = $(`<div id="html_30b63a0b459fb9c28b683ff8170ddb69" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_07572a9248326d49025dd93b08f627e5.setContent(html_30b63a0b459fb9c28b683ff8170ddb69);\n", " \n", "\n", - " circle_marker_4d50349226d289e5bbc17403a6e61303.bindPopup(popup_3d825f3554dad29f8677534ca1c9ad15)\n", + " circle_marker_6db4a76725d53aa6238659d313f873f3.bindPopup(popup_07572a9248326d49025dd93b08f627e5)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_479716b435d2dbf3de0069048f307d20 = L.circleMarker(\n", + " var circle_marker_43f7ab5e0a3921fe6e5488d24311b6b3 = L.circleMarker(\n", " [37.76337637245978, -122.41832341219747],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_38a1367831a79b448c4b47f2cfa81c1b = L.popup({"maxWidth": "100%"});\n", + " var popup_932b6b4b30c81426e82c0fd618815262 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_647d3498caeda360b938f95afbc0196f = $(`<div id="html_647d3498caeda360b938f95afbc0196f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_38a1367831a79b448c4b47f2cfa81c1b.setContent(html_647d3498caeda360b938f95afbc0196f);\n", + " var html_a29197b719a3bce94d56c6c67ea6fbc6 = $(`<div id="html_a29197b719a3bce94d56c6c67ea6fbc6" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_932b6b4b30c81426e82c0fd618815262.setContent(html_a29197b719a3bce94d56c6c67ea6fbc6);\n", " \n", "\n", - " circle_marker_479716b435d2dbf3de0069048f307d20.bindPopup(popup_38a1367831a79b448c4b47f2cfa81c1b)\n", + " circle_marker_43f7ab5e0a3921fe6e5488d24311b6b3.bindPopup(popup_932b6b4b30c81426e82c0fd618815262)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_6bf46479cf7267ac67e29a2abc9b0695 = L.circleMarker(\n", + " var circle_marker_02a975b3c8461893657761b5f5d86179 = L.circleMarker(\n", " [37.763924686918585, -122.42603224084327],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_0eb6d002a760cb3d1ac1824f297f5d2f = L.popup({"maxWidth": "100%"});\n", + " var popup_fac597e931ca93b745e654f3a44b63e7 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_99e204abbec5109062cbd317ad6712eb = $(`<div id="html_99e204abbec5109062cbd317ad6712eb" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_0eb6d002a760cb3d1ac1824f297f5d2f.setContent(html_99e204abbec5109062cbd317ad6712eb);\n", + " var html_a99f1c265bebf916b19e590578edbf23 = $(`<div id="html_a99f1c265bebf916b19e590578edbf23" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_fac597e931ca93b745e654f3a44b63e7.setContent(html_a99f1c265bebf916b19e590578edbf23);\n", " \n", "\n", - " circle_marker_6bf46479cf7267ac67e29a2abc9b0695.bindPopup(popup_0eb6d002a760cb3d1ac1824f297f5d2f)\n", + " circle_marker_02a975b3c8461893657761b5f5d86179.bindPopup(popup_fac597e931ca93b745e654f3a44b63e7)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_22def2404474fa601e79860397c1f713 = L.circleMarker(\n", + " var circle_marker_9ce9ba56c165291b2a81416b62c32754 = L.circleMarker(\n", " [37.747104153769286, -122.40635735111336],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_900111b3fb492abb0c4150bc7da55aba = L.popup({"maxWidth": "100%"});\n", + " var popup_ac3ba35c4aecf124daf3e0ae9191d02d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ff2bb2c6f94288c6886f34a461de7190 = $(`<div id="html_ff2bb2c6f94288c6886f34a461de7190" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_900111b3fb492abb0c4150bc7da55aba.setContent(html_ff2bb2c6f94288c6886f34a461de7190);\n", + " var html_3b6e300803be41524454ca6914ee129b = $(`<div id="html_3b6e300803be41524454ca6914ee129b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ac3ba35c4aecf124daf3e0ae9191d02d.setContent(html_3b6e300803be41524454ca6914ee129b);\n", " \n", "\n", - " circle_marker_22def2404474fa601e79860397c1f713.bindPopup(popup_900111b3fb492abb0c4150bc7da55aba)\n", + " circle_marker_9ce9ba56c165291b2a81416b62c32754.bindPopup(popup_ac3ba35c4aecf124daf3e0ae9191d02d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_64eba16876ddf3a4e00e05e2be814817 = L.circleMarker(\n", + " var circle_marker_dc190c951c3fc5dc6e96928962c2b751 = L.circleMarker(\n", " [37.73952102093955, -122.42022883226554],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_b87a2a028ed26349464960fe4e0518f0 = L.popup({"maxWidth": "100%"});\n", + " var popup_3687cdfe303a066ea71fc67788b004a0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0c7c5fdee9242e81dbd2c751207ffaa3 = $(`<div id="html_0c7c5fdee9242e81dbd2c751207ffaa3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_b87a2a028ed26349464960fe4e0518f0.setContent(html_0c7c5fdee9242e81dbd2c751207ffaa3);\n", + " var html_3e80e137a34f6b28faf86f029fb49ba5 = $(`<div id="html_3e80e137a34f6b28faf86f029fb49ba5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3687cdfe303a066ea71fc67788b004a0.setContent(html_3e80e137a34f6b28faf86f029fb49ba5);\n", " \n", "\n", - " circle_marker_64eba16876ddf3a4e00e05e2be814817.bindPopup(popup_b87a2a028ed26349464960fe4e0518f0)\n", + " circle_marker_dc190c951c3fc5dc6e96928962c2b751.bindPopup(popup_3687cdfe303a066ea71fc67788b004a0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f2baedb45f820394071f2246ded6e704 = L.circleMarker(\n", + " var circle_marker_747f3fd51239abcd22374eedbc81ee5f = L.circleMarker(\n", " [37.740221292002616, -122.42292601164742],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_813083dfe0a9bddbd519a6d15beb0127 = L.popup({"maxWidth": "100%"});\n", + " var popup_5bee35b17928c951131799b1af39706f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_766aa58baea5eba1393ccac7f42e6c8d = $(`<div id="html_766aa58baea5eba1393ccac7f42e6c8d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_813083dfe0a9bddbd519a6d15beb0127.setContent(html_766aa58baea5eba1393ccac7f42e6c8d);\n", + " var html_0ff249e5b8e43851404840ac27b1ad00 = $(`<div id="html_0ff249e5b8e43851404840ac27b1ad00" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_5bee35b17928c951131799b1af39706f.setContent(html_0ff249e5b8e43851404840ac27b1ad00);\n", " \n", "\n", - " circle_marker_f2baedb45f820394071f2246ded6e704.bindPopup(popup_813083dfe0a9bddbd519a6d15beb0127)\n", + " circle_marker_747f3fd51239abcd22374eedbc81ee5f.bindPopup(popup_5bee35b17928c951131799b1af39706f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ba2e98ac544055e78810c4736080d8c3 = L.circleMarker(\n", + " var circle_marker_0f17db31f2edff427a57ae9380e6ba42 = L.circleMarker(\n", " [37.7319622165618, -122.42522875251106],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_e46041b96937e1ed243cd720721a6897 = L.popup({"maxWidth": "100%"});\n", + " var popup_ddf41e117d58eba94d9e37531b7da936 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_553b242ac4f4196d8050d0ca9ab01cda = $(`<div id="html_553b242ac4f4196d8050d0ca9ab01cda" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_e46041b96937e1ed243cd720721a6897.setContent(html_553b242ac4f4196d8050d0ca9ab01cda);\n", + " var html_57a5a38871bd0b0697896e035738a6e3 = $(`<div id="html_57a5a38871bd0b0697896e035738a6e3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ddf41e117d58eba94d9e37531b7da936.setContent(html_57a5a38871bd0b0697896e035738a6e3);\n", " \n", "\n", - " circle_marker_ba2e98ac544055e78810c4736080d8c3.bindPopup(popup_e46041b96937e1ed243cd720721a6897)\n", + " circle_marker_0f17db31f2edff427a57ae9380e6ba42.bindPopup(popup_ddf41e117d58eba94d9e37531b7da936)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bf3d09989af57ffda0d326f9bf67b696 = L.circleMarker(\n", + " var circle_marker_f8f26dc1b81457a149f3b2d661a8fa49 = L.circleMarker(\n", " [37.73713086318324, -122.41812421353865],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_0b797d323540f74ba555f1666c52964e = L.popup({"maxWidth": "100%"});\n", + " var popup_56e4dbc7b746cbefb1d92b474430d3d4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_837442445f6e9e8827a874a2a777a180 = $(`<div id="html_837442445f6e9e8827a874a2a777a180" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_0b797d323540f74ba555f1666c52964e.setContent(html_837442445f6e9e8827a874a2a777a180);\n", + " var html_f39ed4dcce66c7841a2866cb51f1c5b7 = $(`<div id="html_f39ed4dcce66c7841a2866cb51f1c5b7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_56e4dbc7b746cbefb1d92b474430d3d4.setContent(html_f39ed4dcce66c7841a2866cb51f1c5b7);\n", " \n", "\n", - " circle_marker_bf3d09989af57ffda0d326f9bf67b696.bindPopup(popup_0b797d323540f74ba555f1666c52964e)\n", + " circle_marker_f8f26dc1b81457a149f3b2d661a8fa49.bindPopup(popup_56e4dbc7b746cbefb1d92b474430d3d4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_dffce871cfcba47459ea294e164d8d62 = L.circleMarker(\n", + " var circle_marker_0aa7a7606907c4c97652fb45cf6ac22f = L.circleMarker(\n", " [37.7483419775086, -122.41225380452875],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4068a9cf5a087d9733cfc75d25250b3d = L.popup({"maxWidth": "100%"});\n", + " var popup_ed174f081f3655dc4e6a83fdd3452066 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_404631bde07e129f3c478de552575b1c = $(`<div id="html_404631bde07e129f3c478de552575b1c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4068a9cf5a087d9733cfc75d25250b3d.setContent(html_404631bde07e129f3c478de552575b1c);\n", + " var html_d6bf46f1c7c7940db9cb4f7be0884f6c = $(`<div id="html_d6bf46f1c7c7940db9cb4f7be0884f6c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ed174f081f3655dc4e6a83fdd3452066.setContent(html_d6bf46f1c7c7940db9cb4f7be0884f6c);\n", " \n", "\n", - " circle_marker_dffce871cfcba47459ea294e164d8d62.bindPopup(popup_4068a9cf5a087d9733cfc75d25250b3d)\n", + " circle_marker_0aa7a7606907c4c97652fb45cf6ac22f.bindPopup(popup_ed174f081f3655dc4e6a83fdd3452066)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_559fb80e75638df0557c32e42c0d15de = L.circleMarker(\n", + " var circle_marker_6f0cc66477be9fe2b77f8fc8f04c8191 = L.circleMarker(\n", " [37.74142707173661, -122.40856166069446],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_99657ace17af4a4df8c2734089757338 = L.popup({"maxWidth": "100%"});\n", + " var popup_c78f07fe4ae04cf19f1d734bda0fad09 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_3e7cc3baccbfcef5eee59fbca6b6ef48 = $(`<div id="html_3e7cc3baccbfcef5eee59fbca6b6ef48" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_99657ace17af4a4df8c2734089757338.setContent(html_3e7cc3baccbfcef5eee59fbca6b6ef48);\n", + " var html_c4d13c70eea8a9cd07cdd06be95d6367 = $(`<div id="html_c4d13c70eea8a9cd07cdd06be95d6367" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_c78f07fe4ae04cf19f1d734bda0fad09.setContent(html_c4d13c70eea8a9cd07cdd06be95d6367);\n", " \n", "\n", - " circle_marker_559fb80e75638df0557c32e42c0d15de.bindPopup(popup_99657ace17af4a4df8c2734089757338)\n", + " circle_marker_6f0cc66477be9fe2b77f8fc8f04c8191.bindPopup(popup_c78f07fe4ae04cf19f1d734bda0fad09)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c6cbab629584b6a82a36f7f4ff474715 = L.circleMarker(\n", + " var circle_marker_51565a664fad7210c98b124def6e4a4f = L.circleMarker(\n", " [37.75423945656585, -122.42240830574532],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_d6b3a29dfb1c673bda4569daac20aad0 = L.popup({"maxWidth": "100%"});\n", + " var popup_d6f73d8d0c38f55b54cb2e19b01de021 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_9c649bcf2933e1106f861bdce2652611 = $(`<div id="html_9c649bcf2933e1106f861bdce2652611" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_d6b3a29dfb1c673bda4569daac20aad0.setContent(html_9c649bcf2933e1106f861bdce2652611);\n", + " var html_60d1ff9cecf113f53d845d0011c4c485 = $(`<div id="html_60d1ff9cecf113f53d845d0011c4c485" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_d6f73d8d0c38f55b54cb2e19b01de021.setContent(html_60d1ff9cecf113f53d845d0011c4c485);\n", " \n", "\n", - " circle_marker_c6cbab629584b6a82a36f7f4ff474715.bindPopup(popup_d6b3a29dfb1c673bda4569daac20aad0)\n", + " circle_marker_51565a664fad7210c98b124def6e4a4f.bindPopup(popup_d6f73d8d0c38f55b54cb2e19b01de021)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e47949adc8314d0d394d752e425b2f3f = L.circleMarker(\n", + " var circle_marker_f77aea62fb256bbf6b650e1760b41146 = L.circleMarker(\n", " [37.75435434305817, -122.42228960924437],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_dcb03cc7ff9253fccdce7ad6698ae940 = L.popup({"maxWidth": "100%"});\n", + " var popup_90feb03b6b0d53ff9209e7a6412cecca = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_33bad317028e0db3caab159d4d03462f = $(`<div id="html_33bad317028e0db3caab159d4d03462f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_dcb03cc7ff9253fccdce7ad6698ae940.setContent(html_33bad317028e0db3caab159d4d03462f);\n", + " var html_7aa97e01dc0c45760bb8af4b8765c868 = $(`<div id="html_7aa97e01dc0c45760bb8af4b8765c868" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_90feb03b6b0d53ff9209e7a6412cecca.setContent(html_7aa97e01dc0c45760bb8af4b8765c868);\n", " \n", "\n", - " circle_marker_e47949adc8314d0d394d752e425b2f3f.bindPopup(popup_dcb03cc7ff9253fccdce7ad6698ae940)\n", + " circle_marker_f77aea62fb256bbf6b650e1760b41146.bindPopup(popup_90feb03b6b0d53ff9209e7a6412cecca)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_78538bc7e86cd1a30f9f3f83b4fbbe39 = L.circleMarker(\n", + " var circle_marker_b521f02a1dff9e98227b761e9ec0ecfa = L.circleMarker(\n", " [37.746074199675945, -122.41535766353438],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_9a810ecbd9e583138fe1e00ca46568d0 = L.popup({"maxWidth": "100%"});\n", + " var popup_f94cc40f9506bd35203902c5eb1fadcf = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_211a76884646c87375830144ad215df0 = $(`<div id="html_211a76884646c87375830144ad215df0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_9a810ecbd9e583138fe1e00ca46568d0.setContent(html_211a76884646c87375830144ad215df0);\n", + " var html_5100a2c4a2fe682b1b0d16f45f6a326c = $(`<div id="html_5100a2c4a2fe682b1b0d16f45f6a326c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_f94cc40f9506bd35203902c5eb1fadcf.setContent(html_5100a2c4a2fe682b1b0d16f45f6a326c);\n", " \n", "\n", - " circle_marker_78538bc7e86cd1a30f9f3f83b4fbbe39.bindPopup(popup_9a810ecbd9e583138fe1e00ca46568d0)\n", + " circle_marker_b521f02a1dff9e98227b761e9ec0ecfa.bindPopup(popup_f94cc40f9506bd35203902c5eb1fadcf)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_09e3db679dbdb50603e8335067536fb5 = L.circleMarker(\n", + " var circle_marker_e5f96d33725396c3190ab782c7b27d52 = L.circleMarker(\n", " [37.741380940454206, -122.41440239836186],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_bde2613d092ef1ded67eba769fb5134b = L.popup({"maxWidth": "100%"});\n", + " var popup_b2ac81e5b759b8f62c617e6bb60bef97 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_121c0ad3f5f401fa44ba3cf35b3e3dd1 = $(`<div id="html_121c0ad3f5f401fa44ba3cf35b3e3dd1" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_bde2613d092ef1ded67eba769fb5134b.setContent(html_121c0ad3f5f401fa44ba3cf35b3e3dd1);\n", + " var html_ed58e3106e893bb6801504bb31483bf2 = $(`<div id="html_ed58e3106e893bb6801504bb31483bf2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b2ac81e5b759b8f62c617e6bb60bef97.setContent(html_ed58e3106e893bb6801504bb31483bf2);\n", " \n", "\n", - " circle_marker_09e3db679dbdb50603e8335067536fb5.bindPopup(popup_bde2613d092ef1ded67eba769fb5134b)\n", + " circle_marker_e5f96d33725396c3190ab782c7b27d52.bindPopup(popup_b2ac81e5b759b8f62c617e6bb60bef97)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8cb361ced7705f868a7614c6764fd524 = L.circleMarker(\n", + " var circle_marker_b11f7cce07eaf6eed2e8f1d9e6eebf9d = L.circleMarker(\n", " [37.74575801806093, -122.4105207768065],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_fb1df8dd5e3637897c862edeb4d44ac3 = L.popup({"maxWidth": "100%"});\n", + " var popup_3507d99ad5e1fa37e21e8478911e2221 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_c446ed69b8f2f927b5d6aa727f4dc54b = $(`<div id="html_c446ed69b8f2f927b5d6aa727f4dc54b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_fb1df8dd5e3637897c862edeb4d44ac3.setContent(html_c446ed69b8f2f927b5d6aa727f4dc54b);\n", + " var html_a71375380d530465ed4bd18e70c5e7ab = $(`<div id="html_a71375380d530465ed4bd18e70c5e7ab" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3507d99ad5e1fa37e21e8478911e2221.setContent(html_a71375380d530465ed4bd18e70c5e7ab);\n", " \n", "\n", - " circle_marker_8cb361ced7705f868a7614c6764fd524.bindPopup(popup_fb1df8dd5e3637897c862edeb4d44ac3)\n", + " circle_marker_b11f7cce07eaf6eed2e8f1d9e6eebf9d.bindPopup(popup_3507d99ad5e1fa37e21e8478911e2221)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_39290b0c234b30e40a69cd73d2c39f66 = L.circleMarker(\n", + " var circle_marker_d371f98660411ebab7bf232bcbd8fbd5 = L.circleMarker(\n", " [37.759929842009704, -122.41936389765623],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_7d0a78c47b4bf74f2037ce3d073f91d5 = L.popup({"maxWidth": "100%"});\n", + " var popup_dd2f81edb6b7f69a9c2461fcb08b61b4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2b1a20095d49fab5b3c69a2cef4a9d1f = $(`<div id="html_2b1a20095d49fab5b3c69a2cef4a9d1f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_7d0a78c47b4bf74f2037ce3d073f91d5.setContent(html_2b1a20095d49fab5b3c69a2cef4a9d1f);\n", + " var html_4fa42b8d8e4332ea8ad7933ad1c8fb10 = $(`<div id="html_4fa42b8d8e4332ea8ad7933ad1c8fb10" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_dd2f81edb6b7f69a9c2461fcb08b61b4.setContent(html_4fa42b8d8e4332ea8ad7933ad1c8fb10);\n", " \n", "\n", - " circle_marker_39290b0c234b30e40a69cd73d2c39f66.bindPopup(popup_7d0a78c47b4bf74f2037ce3d073f91d5)\n", + " circle_marker_d371f98660411ebab7bf232bcbd8fbd5.bindPopup(popup_dd2f81edb6b7f69a9c2461fcb08b61b4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_261cea6d47f461fcc24956a193da84b5 = L.circleMarker(\n", + " var circle_marker_ace71516fd5eee78132ce5bb511c3501 = L.circleMarker(\n", " [37.74348609136638, -122.42263298457125],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_f6a0039bfb584387b7fa263ac720cc6f = L.popup({"maxWidth": "100%"});\n", + " var popup_16c522573984e516eda60d1d7988e52f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_4d491fe54ee8747c3d0502710570a162 = $(`<div id="html_4d491fe54ee8747c3d0502710570a162" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_f6a0039bfb584387b7fa263ac720cc6f.setContent(html_4d491fe54ee8747c3d0502710570a162);\n", + " var html_a63ce952601678477c8f31ea234f7513 = $(`<div id="html_a63ce952601678477c8f31ea234f7513" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_16c522573984e516eda60d1d7988e52f.setContent(html_a63ce952601678477c8f31ea234f7513);\n", " \n", "\n", - " circle_marker_261cea6d47f461fcc24956a193da84b5.bindPopup(popup_f6a0039bfb584387b7fa263ac720cc6f)\n", + " circle_marker_ace71516fd5eee78132ce5bb511c3501.bindPopup(popup_16c522573984e516eda60d1d7988e52f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_61d5ec948e781eb2be4a42bb6df77c4a = L.circleMarker(\n", + " var circle_marker_37ca5f75ea70c062f82c10b65ffcca07 = L.circleMarker(\n", " [37.76530111041392, -122.40775071665323],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_7e3fcc38258cc13137f430c3333bc59d = L.popup({"maxWidth": "100%"});\n", + " var popup_4aa17ab82ab24515cb3072df2f0f9e0b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_3f67df9395bc0b20c460da411ee07ff3 = $(`<div id="html_3f67df9395bc0b20c460da411ee07ff3" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_7e3fcc38258cc13137f430c3333bc59d.setContent(html_3f67df9395bc0b20c460da411ee07ff3);\n", + " var html_5ae0670623c0bc88fc605da3d5dfd23f = $(`<div id="html_5ae0670623c0bc88fc605da3d5dfd23f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_4aa17ab82ab24515cb3072df2f0f9e0b.setContent(html_5ae0670623c0bc88fc605da3d5dfd23f);\n", " \n", "\n", - " circle_marker_61d5ec948e781eb2be4a42bb6df77c4a.bindPopup(popup_7e3fcc38258cc13137f430c3333bc59d)\n", + " circle_marker_37ca5f75ea70c062f82c10b65ffcca07.bindPopup(popup_4aa17ab82ab24515cb3072df2f0f9e0b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_76471a59e40776603d57ba71b57c4101 = L.circleMarker(\n", + " var circle_marker_1245b6df12535d183b55a5f694f8bdd9 = L.circleMarker(\n", " [37.7351770739924, -122.42220382143077],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_ddc3313a85e731f8d6cad5cf59815bed = L.popup({"maxWidth": "100%"});\n", + " var popup_0e7b550dc6b5ce9cb96e9eaa46c83ca6 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e459aa3cac5915bf042368fab419cecb = $(`<div id="html_e459aa3cac5915bf042368fab419cecb" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_ddc3313a85e731f8d6cad5cf59815bed.setContent(html_e459aa3cac5915bf042368fab419cecb);\n", + " var html_5ffd163f56911d9f943a4f0ff14e3202 = $(`<div id="html_5ffd163f56911d9f943a4f0ff14e3202" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_0e7b550dc6b5ce9cb96e9eaa46c83ca6.setContent(html_5ffd163f56911d9f943a4f0ff14e3202);\n", " \n", "\n", - " circle_marker_76471a59e40776603d57ba71b57c4101.bindPopup(popup_ddc3313a85e731f8d6cad5cf59815bed)\n", + " circle_marker_1245b6df12535d183b55a5f694f8bdd9.bindPopup(popup_0e7b550dc6b5ce9cb96e9eaa46c83ca6)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b0c875a7916c27e6850aba1fa8b556bf = L.circleMarker(\n", + " var circle_marker_223ea77b5d6534a0a71e126e4504b54d = L.circleMarker(\n", " [37.761747153832005, -122.4099039982627],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_796c4918735379774dcd422af6fe28fc = L.popup({"maxWidth": "100%"});\n", + " var popup_ed55f87a4f84eb7887e550d21e211986 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_02edb6896badd7874b3074f70731c248 = $(`<div id="html_02edb6896badd7874b3074f70731c248" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_796c4918735379774dcd422af6fe28fc.setContent(html_02edb6896badd7874b3074f70731c248);\n", + " var html_1b8c35958e284dcbcca1ba878d7f0c70 = $(`<div id="html_1b8c35958e284dcbcca1ba878d7f0c70" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ed55f87a4f84eb7887e550d21e211986.setContent(html_1b8c35958e284dcbcca1ba878d7f0c70);\n", " \n", "\n", - " circle_marker_b0c875a7916c27e6850aba1fa8b556bf.bindPopup(popup_796c4918735379774dcd422af6fe28fc)\n", + " circle_marker_223ea77b5d6534a0a71e126e4504b54d.bindPopup(popup_ed55f87a4f84eb7887e550d21e211986)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a037afdf88bf169431d7e821f46e2a65 = L.circleMarker(\n", + " var circle_marker_f6eb4d6707537d0463812fa07034303c = L.circleMarker(\n", " [37.744531940576856, -122.42161560269948],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_73d601b2b50f6e391e3233349d464ee4 = L.popup({"maxWidth": "100%"});\n", + " var popup_1766c99052a1677edcfa9093563e5d79 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ce93ffaa66e7d0d6869bbed76f84dd47 = $(`<div id="html_ce93ffaa66e7d0d6869bbed76f84dd47" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_73d601b2b50f6e391e3233349d464ee4.setContent(html_ce93ffaa66e7d0d6869bbed76f84dd47);\n", + " var html_a7954dd0ee839de6bea98b87eaa74493 = $(`<div id="html_a7954dd0ee839de6bea98b87eaa74493" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_1766c99052a1677edcfa9093563e5d79.setContent(html_a7954dd0ee839de6bea98b87eaa74493);\n", " \n", "\n", - " circle_marker_a037afdf88bf169431d7e821f46e2a65.bindPopup(popup_73d601b2b50f6e391e3233349d464ee4)\n", + " circle_marker_f6eb4d6707537d0463812fa07034303c.bindPopup(popup_1766c99052a1677edcfa9093563e5d79)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7cee36844b02198d91a8c8ee624c32fa = L.circleMarker(\n", + " var circle_marker_7591ea8bd60f093e3567f0644ca822a5 = L.circleMarker(\n", " [37.75719450024423, -122.41901248673905],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_8d8d6dfaee6b69acc3ec065e81fbaaaa = L.popup({"maxWidth": "100%"});\n", + " var popup_3abcb432a6210b650b8bc5cc0e609cd6 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d1dd91182778822023bf527de9430b6e = $(`<div id="html_d1dd91182778822023bf527de9430b6e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_8d8d6dfaee6b69acc3ec065e81fbaaaa.setContent(html_d1dd91182778822023bf527de9430b6e);\n", + " var html_a5ffe77bcf84732a3329e9e0baa7ac96 = $(`<div id="html_a5ffe77bcf84732a3329e9e0baa7ac96" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3abcb432a6210b650b8bc5cc0e609cd6.setContent(html_a5ffe77bcf84732a3329e9e0baa7ac96);\n", " \n", "\n", - " circle_marker_7cee36844b02198d91a8c8ee624c32fa.bindPopup(popup_8d8d6dfaee6b69acc3ec065e81fbaaaa)\n", + " circle_marker_7591ea8bd60f093e3567f0644ca822a5.bindPopup(popup_3abcb432a6210b650b8bc5cc0e609cd6)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ab4a159238b1bac594c36e6bba84b2ea = L.circleMarker(\n", + " var circle_marker_33e6e43deea6f27e0b60062facabe566 = L.circleMarker(\n", " [37.73743562493618, -122.42250059810968],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_905e759cf81cc9bdb647b8602345be4f = L.popup({"maxWidth": "100%"});\n", + " var popup_3646d3844fb2de504c969ef08e5e5a25 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e0dd605a72a15e97f4b8bce43665ec89 = $(`<div id="html_e0dd605a72a15e97f4b8bce43665ec89" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_905e759cf81cc9bdb647b8602345be4f.setContent(html_e0dd605a72a15e97f4b8bce43665ec89);\n", + " var html_4cd24c13de23c9b809905a76c38fe787 = $(`<div id="html_4cd24c13de23c9b809905a76c38fe787" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3646d3844fb2de504c969ef08e5e5a25.setContent(html_4cd24c13de23c9b809905a76c38fe787);\n", " \n", "\n", - " circle_marker_ab4a159238b1bac594c36e6bba84b2ea.bindPopup(popup_905e759cf81cc9bdb647b8602345be4f)\n", + " circle_marker_33e6e43deea6f27e0b60062facabe566.bindPopup(popup_3646d3844fb2de504c969ef08e5e5a25)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_43e978e30466ab3bf9523e97b312be65 = L.circleMarker(\n", + " var circle_marker_430dfee8ca7a5e67fe69ad9b84eb1c05 = L.circleMarker(\n", " [37.74197743401586, -122.41709590262614],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_a281833463dfc15e1f242a198c77e67f = L.popup({"maxWidth": "100%"});\n", + " var popup_fce3dd428169c2d09b9432f114b07d51 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_82ef9628ac708472038a726fb71cbaf7 = $(`<div id="html_82ef9628ac708472038a726fb71cbaf7" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_a281833463dfc15e1f242a198c77e67f.setContent(html_82ef9628ac708472038a726fb71cbaf7);\n", + " var html_1187f4c8ccd7877d789068f0a8f18fff = $(`<div id="html_1187f4c8ccd7877d789068f0a8f18fff" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_fce3dd428169c2d09b9432f114b07d51.setContent(html_1187f4c8ccd7877d789068f0a8f18fff);\n", " \n", "\n", - " circle_marker_43e978e30466ab3bf9523e97b312be65.bindPopup(popup_a281833463dfc15e1f242a198c77e67f)\n", + " circle_marker_430dfee8ca7a5e67fe69ad9b84eb1c05.bindPopup(popup_fce3dd428169c2d09b9432f114b07d51)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_3b0d2aa1ff3c762347c73e22b71b81f6 = L.circleMarker(\n", + " var circle_marker_2d87a06337302a509dbcdeb56dea8f04 = L.circleMarker(\n", " [37.73969218205738, -122.40713168279156],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6c0eab08995e9486f8e2031a84345073 = L.popup({"maxWidth": "100%"});\n", + " var popup_70bfcc0b14b9a3f0a9e3b3c12610b193 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_af0c97d64e8bd6923523cdaeae6733f0 = $(`<div id="html_af0c97d64e8bd6923523cdaeae6733f0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6c0eab08995e9486f8e2031a84345073.setContent(html_af0c97d64e8bd6923523cdaeae6733f0);\n", + " var html_be708c09d3e4e3ee7ffa033cd68ef53e = $(`<div id="html_be708c09d3e4e3ee7ffa033cd68ef53e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_70bfcc0b14b9a3f0a9e3b3c12610b193.setContent(html_be708c09d3e4e3ee7ffa033cd68ef53e);\n", " \n", "\n", - " circle_marker_3b0d2aa1ff3c762347c73e22b71b81f6.bindPopup(popup_6c0eab08995e9486f8e2031a84345073)\n", + " circle_marker_2d87a06337302a509dbcdeb56dea8f04.bindPopup(popup_70bfcc0b14b9a3f0a9e3b3c12610b193)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_29047697930bd5ec7ffc06eb8a184288 = L.circleMarker(\n", + " var circle_marker_99b4758386339cffc9e8129d1e7b3f55 = L.circleMarker(\n", " [37.763831603122455, -122.41573893502441],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_b4c6c9ea5963b4e987312c1c14013d69 = L.popup({"maxWidth": "100%"});\n", + " var popup_6a27f8958c7a21fdfae97f6174df5312 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_48f99b42bd948c43c6a283214ebfc488 = $(`<div id="html_48f99b42bd948c43c6a283214ebfc488" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_b4c6c9ea5963b4e987312c1c14013d69.setContent(html_48f99b42bd948c43c6a283214ebfc488);\n", + " var html_4b02f9e989018e013a910c3c385b69fd = $(`<div id="html_4b02f9e989018e013a910c3c385b69fd" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_6a27f8958c7a21fdfae97f6174df5312.setContent(html_4b02f9e989018e013a910c3c385b69fd);\n", " \n", "\n", - " circle_marker_29047697930bd5ec7ffc06eb8a184288.bindPopup(popup_b4c6c9ea5963b4e987312c1c14013d69)\n", + " circle_marker_99b4758386339cffc9e8129d1e7b3f55.bindPopup(popup_6a27f8958c7a21fdfae97f6174df5312)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d669e98d268cda4f4bac9353599d543f = L.circleMarker(\n", + " var circle_marker_82f3b4dbe046dacdf0899406e69d4f70 = L.circleMarker(\n", " [37.761252927558274, -122.41237555483644],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c3fa1b538d07bbaac254d183fe50b995 = L.popup({"maxWidth": "100%"});\n", + " var popup_a50019239656bc6b4dffb4ef748bd467 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_025b5a24a70b16ff844d8ad8a87f0022 = $(`<div id="html_025b5a24a70b16ff844d8ad8a87f0022" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c3fa1b538d07bbaac254d183fe50b995.setContent(html_025b5a24a70b16ff844d8ad8a87f0022);\n", + " var html_fd9b29e5585af320897bd8b066fb1745 = $(`<div id="html_fd9b29e5585af320897bd8b066fb1745" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a50019239656bc6b4dffb4ef748bd467.setContent(html_fd9b29e5585af320897bd8b066fb1745);\n", " \n", "\n", - " circle_marker_d669e98d268cda4f4bac9353599d543f.bindPopup(popup_c3fa1b538d07bbaac254d183fe50b995)\n", + " circle_marker_82f3b4dbe046dacdf0899406e69d4f70.bindPopup(popup_a50019239656bc6b4dffb4ef748bd467)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ad1ffccf73b326e089724e9824f9a0b1 = L.circleMarker(\n", + " var circle_marker_0850ac60074c4395e590ceb22d7cb924 = L.circleMarker(\n", " [37.75726219498988, -122.40455000117886],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4d99e936aeab82cfb52522b7bf601d31 = L.popup({"maxWidth": "100%"});\n", + " var popup_436cac94c99283b2a0b912eccb64fbec = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2728435bd4a364c0887bed9b475ac5a4 = $(`<div id="html_2728435bd4a364c0887bed9b475ac5a4" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4d99e936aeab82cfb52522b7bf601d31.setContent(html_2728435bd4a364c0887bed9b475ac5a4);\n", + " var html_f55fdc1d9f5558516419ae3cc31a1620 = $(`<div id="html_f55fdc1d9f5558516419ae3cc31a1620" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_436cac94c99283b2a0b912eccb64fbec.setContent(html_f55fdc1d9f5558516419ae3cc31a1620);\n", " \n", "\n", - " circle_marker_ad1ffccf73b326e089724e9824f9a0b1.bindPopup(popup_4d99e936aeab82cfb52522b7bf601d31)\n", + " circle_marker_0850ac60074c4395e590ceb22d7cb924.bindPopup(popup_436cac94c99283b2a0b912eccb64fbec)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0ed4d3969f42f172dabb016086d4bba3 = L.circleMarker(\n", + " var circle_marker_2bec07a8df5cacee945eb8ff0c3e2c03 = L.circleMarker(\n", " [37.76470088472506, -122.41069965976091],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_febb29d2fdb887378ac4f1d79cd8218e = L.popup({"maxWidth": "100%"});\n", + " var popup_a45753d15ebea794e6569b5b3c2b100a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d26a9ba93ec58379c4dfc7f83d7cdbf9 = $(`<div id="html_d26a9ba93ec58379c4dfc7f83d7cdbf9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_febb29d2fdb887378ac4f1d79cd8218e.setContent(html_d26a9ba93ec58379c4dfc7f83d7cdbf9);\n", + " var html_99712c0aa61bd49d68cb665e70b57a46 = $(`<div id="html_99712c0aa61bd49d68cb665e70b57a46" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a45753d15ebea794e6569b5b3c2b100a.setContent(html_99712c0aa61bd49d68cb665e70b57a46);\n", " \n", "\n", - " circle_marker_0ed4d3969f42f172dabb016086d4bba3.bindPopup(popup_febb29d2fdb887378ac4f1d79cd8218e)\n", + " circle_marker_2bec07a8df5cacee945eb8ff0c3e2c03.bindPopup(popup_a45753d15ebea794e6569b5b3c2b100a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2f4efe9ad02a479a15dbcb861fbc8c46 = L.circleMarker(\n", + " var circle_marker_c3eba0b1c864041756fe57d4639e2149 = L.circleMarker(\n", " [37.752239826552106, -122.42522276992155],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_fe7457d4a5577daca27a3ba8b567f01c = L.popup({"maxWidth": "100%"});\n", + " var popup_b903b99c17902a6fa44c7711f7d1335e = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_fde244feb3a3ec8060bdae3ae6f623ef = $(`<div id="html_fde244feb3a3ec8060bdae3ae6f623ef" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_fe7457d4a5577daca27a3ba8b567f01c.setContent(html_fde244feb3a3ec8060bdae3ae6f623ef);\n", + " var html_45247b5982c31d56c742c972f62758ff = $(`<div id="html_45247b5982c31d56c742c972f62758ff" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b903b99c17902a6fa44c7711f7d1335e.setContent(html_45247b5982c31d56c742c972f62758ff);\n", " \n", "\n", - " circle_marker_2f4efe9ad02a479a15dbcb861fbc8c46.bindPopup(popup_fe7457d4a5577daca27a3ba8b567f01c)\n", + " circle_marker_c3eba0b1c864041756fe57d4639e2149.bindPopup(popup_b903b99c17902a6fa44c7711f7d1335e)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4dcdbf82cafd82552aa77d101e44695e = L.circleMarker(\n", + " var circle_marker_2fdce50c1bd8a7eec804f8c50fd65c0b = L.circleMarker(\n", " [37.7622151757651, -122.41879495724017],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_191af73a951f60c8673b7c902c6f7c85 = L.popup({"maxWidth": "100%"});\n", + " var popup_ee1cb6b769bde4df4451c262c5998394 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_76ac93b45a0f2420646f2b3c5e6ad3cf = $(`<div id="html_76ac93b45a0f2420646f2b3c5e6ad3cf" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_191af73a951f60c8673b7c902c6f7c85.setContent(html_76ac93b45a0f2420646f2b3c5e6ad3cf);\n", + " var html_32fe9f817dd0d065b0bf5d98e08447d8 = $(`<div id="html_32fe9f817dd0d065b0bf5d98e08447d8" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ee1cb6b769bde4df4451c262c5998394.setContent(html_32fe9f817dd0d065b0bf5d98e08447d8);\n", " \n", "\n", - " circle_marker_4dcdbf82cafd82552aa77d101e44695e.bindPopup(popup_191af73a951f60c8673b7c902c6f7c85)\n", + " circle_marker_2fdce50c1bd8a7eec804f8c50fd65c0b.bindPopup(popup_ee1cb6b769bde4df4451c262c5998394)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c7f427a471b169ad8f4ca571cd2acbde = L.circleMarker(\n", + " var circle_marker_2759609cd16f341245afa180c4be4dbe = L.circleMarker(\n", " [37.750279714112374, -122.40384503936752],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_1d0b54ce9b0597fc789c12be661741be = L.popup({"maxWidth": "100%"});\n", + " var popup_c71103beb571e1108fdae99600bed135 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ef6e87d980f2b7bb3558ed254c969424 = $(`<div id="html_ef6e87d980f2b7bb3558ed254c969424" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_1d0b54ce9b0597fc789c12be661741be.setContent(html_ef6e87d980f2b7bb3558ed254c969424);\n", + " var html_860decd12534b5d40582dc47bcc96937 = $(`<div id="html_860decd12534b5d40582dc47bcc96937" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_c71103beb571e1108fdae99600bed135.setContent(html_860decd12534b5d40582dc47bcc96937);\n", " \n", "\n", - " circle_marker_c7f427a471b169ad8f4ca571cd2acbde.bindPopup(popup_1d0b54ce9b0597fc789c12be661741be)\n", + " circle_marker_2759609cd16f341245afa180c4be4dbe.bindPopup(popup_c71103beb571e1108fdae99600bed135)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_5703c5bc942c0ab1dab8841207d45130 = L.circleMarker(\n", + " var circle_marker_d295d82b4e85afcca348605469f56c9a = L.circleMarker(\n", " [37.75183270738175, -122.42155460884847],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4aa4100b52b3e283b89a4a66ce0da295 = L.popup({"maxWidth": "100%"});\n", + " var popup_b99aa1ffc83970b20dde83e45c56bb94 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_8e1bb16eb05e5cb500d0c34bab917925 = $(`<div id="html_8e1bb16eb05e5cb500d0c34bab917925" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4aa4100b52b3e283b89a4a66ce0da295.setContent(html_8e1bb16eb05e5cb500d0c34bab917925);\n", + " var html_a5569237626d165c36cbca7db6c9f9b2 = $(`<div id="html_a5569237626d165c36cbca7db6c9f9b2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_b99aa1ffc83970b20dde83e45c56bb94.setContent(html_a5569237626d165c36cbca7db6c9f9b2);\n", " \n", "\n", - " circle_marker_5703c5bc942c0ab1dab8841207d45130.bindPopup(popup_4aa4100b52b3e283b89a4a66ce0da295)\n", + " circle_marker_d295d82b4e85afcca348605469f56c9a.bindPopup(popup_b99aa1ffc83970b20dde83e45c56bb94)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_40295acaf5fa2e7e39a4a5775ef22d38 = L.circleMarker(\n", + " var circle_marker_30582d8ba07af14df6f727470ad66fbc = L.circleMarker(\n", " [37.74547980362818, -122.40566037184043],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_333f58252931bc71212b6cb94a488572 = L.popup({"maxWidth": "100%"});\n", + " var popup_518ddc53f3db30744be3a47c024d576d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_62d0834e59cc4d0983757f51703cecde = $(`<div id="html_62d0834e59cc4d0983757f51703cecde" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_333f58252931bc71212b6cb94a488572.setContent(html_62d0834e59cc4d0983757f51703cecde);\n", + " var html_14e2ccb7a2ea0ad2d4009b30a372aa1c = $(`<div id="html_14e2ccb7a2ea0ad2d4009b30a372aa1c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_518ddc53f3db30744be3a47c024d576d.setContent(html_14e2ccb7a2ea0ad2d4009b30a372aa1c);\n", " \n", "\n", - " circle_marker_40295acaf5fa2e7e39a4a5775ef22d38.bindPopup(popup_333f58252931bc71212b6cb94a488572)\n", + " circle_marker_30582d8ba07af14df6f727470ad66fbc.bindPopup(popup_518ddc53f3db30744be3a47c024d576d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1adba43797ac6750e9b9ba479c3f6fc1 = L.circleMarker(\n", + " var circle_marker_62832dece5cf429d9b1e8928046c6be2 = L.circleMarker(\n", " [37.74085356398497, -122.41446908756086],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6e8f65a630844ea539c10d35d65d783f = L.popup({"maxWidth": "100%"});\n", + " var popup_9c9ff31216ff40372e2f409a78799b98 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a9c05ba254bd273a1cfe3013bda56f36 = $(`<div id="html_a9c05ba254bd273a1cfe3013bda56f36" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6e8f65a630844ea539c10d35d65d783f.setContent(html_a9c05ba254bd273a1cfe3013bda56f36);\n", + " var html_9f446ba22cc31f7233bb6b4789e8225f = $(`<div id="html_9f446ba22cc31f7233bb6b4789e8225f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9c9ff31216ff40372e2f409a78799b98.setContent(html_9f446ba22cc31f7233bb6b4789e8225f);\n", " \n", "\n", - " circle_marker_1adba43797ac6750e9b9ba479c3f6fc1.bindPopup(popup_6e8f65a630844ea539c10d35d65d783f)\n", + " circle_marker_62832dece5cf429d9b1e8928046c6be2.bindPopup(popup_9c9ff31216ff40372e2f409a78799b98)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8ede70c5e3da623f8f092b3e2f880a0a = L.circleMarker(\n", + " var circle_marker_6743d2ba5a10a01cc1b51132e55119d6 = L.circleMarker(\n", " [37.745307885159676, -122.41693866931666],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_47908b96ee9bbf77d550bb5249d58a48 = L.popup({"maxWidth": "100%"});\n", + " var popup_38582f8d61b485204c3188a65351b42f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f1aac3eeb7f94e42da4c7ea660506950 = $(`<div id="html_f1aac3eeb7f94e42da4c7ea660506950" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_47908b96ee9bbf77d550bb5249d58a48.setContent(html_f1aac3eeb7f94e42da4c7ea660506950);\n", + " var html_4523e0d16d6f3afb88f7fb7121d1246f = $(`<div id="html_4523e0d16d6f3afb88f7fb7121d1246f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_38582f8d61b485204c3188a65351b42f.setContent(html_4523e0d16d6f3afb88f7fb7121d1246f);\n", " \n", "\n", - " circle_marker_8ede70c5e3da623f8f092b3e2f880a0a.bindPopup(popup_47908b96ee9bbf77d550bb5249d58a48)\n", + " circle_marker_6743d2ba5a10a01cc1b51132e55119d6.bindPopup(popup_38582f8d61b485204c3188a65351b42f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_88d259c6cf5a9c6a2c3fa1386054a2e4 = L.circleMarker(\n", + " var circle_marker_f5e5dc6d96f8fa591a9e1a3842f964e1 = L.circleMarker(\n", " [37.74887491191325, -122.42222954548635],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_4232495d3365a58c20db17186334248a = L.popup({"maxWidth": "100%"});\n", + " var popup_a307e07583b09175c3643ca2e8a9b78a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f0413e3335955014222e724a2bf9106f = $(`<div id="html_f0413e3335955014222e724a2bf9106f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_4232495d3365a58c20db17186334248a.setContent(html_f0413e3335955014222e724a2bf9106f);\n", + " var html_bffe38f2d7b9f82250f61120e4b58826 = $(`<div id="html_bffe38f2d7b9f82250f61120e4b58826" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_a307e07583b09175c3643ca2e8a9b78a.setContent(html_bffe38f2d7b9f82250f61120e4b58826);\n", " \n", "\n", - " circle_marker_88d259c6cf5a9c6a2c3fa1386054a2e4.bindPopup(popup_4232495d3365a58c20db17186334248a)\n", + " circle_marker_f5e5dc6d96f8fa591a9e1a3842f964e1.bindPopup(popup_a307e07583b09175c3643ca2e8a9b78a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8f6c31e7133aeb9a2570d121ca1daede = L.circleMarker(\n", + " var circle_marker_ecbd4889752441b63e6831ee0b935f4b = L.circleMarker(\n", " [37.74432569801819, -122.42064590761126],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_70980a4d4949b2d365b09e9fe3511c58 = L.popup({"maxWidth": "100%"});\n", + " var popup_00e77d434f73fb9d4c3bbe3c5b66a52b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_797606129a992ef78e03bf469ad0322d = $(`<div id="html_797606129a992ef78e03bf469ad0322d" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_70980a4d4949b2d365b09e9fe3511c58.setContent(html_797606129a992ef78e03bf469ad0322d);\n", + " var html_9b149b82063e4d1668bef6880e6de893 = $(`<div id="html_9b149b82063e4d1668bef6880e6de893" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_00e77d434f73fb9d4c3bbe3c5b66a52b.setContent(html_9b149b82063e4d1668bef6880e6de893);\n", " \n", "\n", - " circle_marker_8f6c31e7133aeb9a2570d121ca1daede.bindPopup(popup_70980a4d4949b2d365b09e9fe3511c58)\n", + " circle_marker_ecbd4889752441b63e6831ee0b935f4b.bindPopup(popup_00e77d434f73fb9d4c3bbe3c5b66a52b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ea2c6c16a53fba541680ad197575f59e = L.circleMarker(\n", + " var circle_marker_2ed48e98855780096b7d2f927571c7b4 = L.circleMarker(\n", " [37.75725637834527, -122.41516185537776],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_e747057a4714c19624b866bb940af33f = L.popup({"maxWidth": "100%"});\n", + " var popup_e3a211450082ac46bb83482cecfbbf55 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ad31a7de692169f0cc96d930609d88a0 = $(`<div id="html_ad31a7de692169f0cc96d930609d88a0" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_e747057a4714c19624b866bb940af33f.setContent(html_ad31a7de692169f0cc96d930609d88a0);\n", + " var html_8362e3cb28521fdfe65555e311ff87db = $(`<div id="html_8362e3cb28521fdfe65555e311ff87db" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_e3a211450082ac46bb83482cecfbbf55.setContent(html_8362e3cb28521fdfe65555e311ff87db);\n", " \n", "\n", - " circle_marker_ea2c6c16a53fba541680ad197575f59e.bindPopup(popup_e747057a4714c19624b866bb940af33f)\n", + " circle_marker_2ed48e98855780096b7d2f927571c7b4.bindPopup(popup_e3a211450082ac46bb83482cecfbbf55)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_3ea0beadb7047dfb4d8c18d41b22f02e = L.circleMarker(\n", + " var circle_marker_da1a71bd70d8fe82887ef70a4a8e3520 = L.circleMarker(\n", " [37.76320058943922, -122.42005488320424],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_04b3b26a2438ae2cb0e2776ea8c52b0a = L.popup({"maxWidth": "100%"});\n", + " var popup_c9fcc70ea0e2a6cd6cd9d7b1b16040b8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_457ce16269049e185502928814f65f63 = $(`<div id="html_457ce16269049e185502928814f65f63" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_04b3b26a2438ae2cb0e2776ea8c52b0a.setContent(html_457ce16269049e185502928814f65f63);\n", + " var html_c06eafa41cf4e1ecd3488cecbf4a5af8 = $(`<div id="html_c06eafa41cf4e1ecd3488cecbf4a5af8" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_c9fcc70ea0e2a6cd6cd9d7b1b16040b8.setContent(html_c06eafa41cf4e1ecd3488cecbf4a5af8);\n", " \n", "\n", - " circle_marker_3ea0beadb7047dfb4d8c18d41b22f02e.bindPopup(popup_04b3b26a2438ae2cb0e2776ea8c52b0a)\n", + " circle_marker_da1a71bd70d8fe82887ef70a4a8e3520.bindPopup(popup_c9fcc70ea0e2a6cd6cd9d7b1b16040b8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2f1f1269915546ee2a36726cf5ad19ba = L.circleMarker(\n", + " var circle_marker_0731aa87ea748eaa4ea78df5df858613 = L.circleMarker(\n", " [37.74682924903755, -122.42209591165009],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_fc65989714a32f0edcdd7eec9d061512 = L.popup({"maxWidth": "100%"});\n", + " var popup_576cfb54ed2dcb2e228183065a178a7a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_16b8492d8ef939a8360284e7f6bed122 = $(`<div id="html_16b8492d8ef939a8360284e7f6bed122" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_fc65989714a32f0edcdd7eec9d061512.setContent(html_16b8492d8ef939a8360284e7f6bed122);\n", + " var html_22dbc6cbfaf668ca7cf63c1f96286607 = $(`<div id="html_22dbc6cbfaf668ca7cf63c1f96286607" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_576cfb54ed2dcb2e228183065a178a7a.setContent(html_22dbc6cbfaf668ca7cf63c1f96286607);\n", " \n", "\n", - " circle_marker_2f1f1269915546ee2a36726cf5ad19ba.bindPopup(popup_fc65989714a32f0edcdd7eec9d061512)\n", + " circle_marker_0731aa87ea748eaa4ea78df5df858613.bindPopup(popup_576cfb54ed2dcb2e228183065a178a7a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_37255bc657ce0b7a37bad813a38e772d = L.circleMarker(\n", + " var circle_marker_43227b357012b42bfee1040c7b33212c = L.circleMarker(\n", " [37.754856259950174, -122.40966406763532],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_c69db7b1571b5f62d5c064bb057fa8c0 = L.popup({"maxWidth": "100%"});\n", + " var popup_7788de6299aed14ff65cb602d680d6c4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_91018e3c3142ab1a485d1f8c6e7a4fb2 = $(`<div id="html_91018e3c3142ab1a485d1f8c6e7a4fb2" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_c69db7b1571b5f62d5c064bb057fa8c0.setContent(html_91018e3c3142ab1a485d1f8c6e7a4fb2);\n", + " var html_853046fb5ae07429a6e479556af46f8a = $(`<div id="html_853046fb5ae07429a6e479556af46f8a" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_7788de6299aed14ff65cb602d680d6c4.setContent(html_853046fb5ae07429a6e479556af46f8a);\n", " \n", "\n", - " circle_marker_37255bc657ce0b7a37bad813a38e772d.bindPopup(popup_c69db7b1571b5f62d5c064bb057fa8c0)\n", + " circle_marker_43227b357012b42bfee1040c7b33212c.bindPopup(popup_7788de6299aed14ff65cb602d680d6c4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b95d02fe5520097a79a2255611b524ba = L.circleMarker(\n", + " var circle_marker_502f325eab86b78124ecd4e89800b8cd = L.circleMarker(\n", " [37.75588417673643, -122.41267234354358],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_ca0719fb116bb631d9fabee68594346d = L.popup({"maxWidth": "100%"});\n", + " var popup_fbcbe211239380c7034e2da6d20c4d36 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d0a308f19d4e3ba1c596e5f43c07b19b = $(`<div id="html_d0a308f19d4e3ba1c596e5f43c07b19b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_ca0719fb116bb631d9fabee68594346d.setContent(html_d0a308f19d4e3ba1c596e5f43c07b19b);\n", + " var html_42988ce74b1ac4be8d7df924f31e608e = $(`<div id="html_42988ce74b1ac4be8d7df924f31e608e" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_fbcbe211239380c7034e2da6d20c4d36.setContent(html_42988ce74b1ac4be8d7df924f31e608e);\n", " \n", "\n", - " circle_marker_b95d02fe5520097a79a2255611b524ba.bindPopup(popup_ca0719fb116bb631d9fabee68594346d)\n", + " circle_marker_502f325eab86b78124ecd4e89800b8cd.bindPopup(popup_fbcbe211239380c7034e2da6d20c4d36)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_fd287c08b755747a30bb6f2ab99b89d9 = L.circleMarker(\n", + " var circle_marker_cb77ba629205bf232cbe0612090a3f44 = L.circleMarker(\n", " [37.743252477037885, -122.42334097025606],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_1a2072077861b1a3f0a1148aed9f775f = L.popup({"maxWidth": "100%"});\n", + " var popup_ba13a04784527213becca6984495e66d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ac92a83e094e65c7ff2db8789f70fb65 = $(`<div id="html_ac92a83e094e65c7ff2db8789f70fb65" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_1a2072077861b1a3f0a1148aed9f775f.setContent(html_ac92a83e094e65c7ff2db8789f70fb65);\n", + " var html_2d4c56ba384ede3d8ba9d086a2d4ec8b = $(`<div id="html_2d4c56ba384ede3d8ba9d086a2d4ec8b" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_ba13a04784527213becca6984495e66d.setContent(html_2d4c56ba384ede3d8ba9d086a2d4ec8b);\n", " \n", "\n", - " circle_marker_fd287c08b755747a30bb6f2ab99b89d9.bindPopup(popup_1a2072077861b1a3f0a1148aed9f775f)\n", + " circle_marker_cb77ba629205bf232cbe0612090a3f44.bindPopup(popup_ba13a04784527213becca6984495e66d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ef31319b9bc07f05b5479c03fbf1c8ac = L.circleMarker(\n", + " var circle_marker_aac99ee5e2bc9c31884ad67e98ce54d9 = L.circleMarker(\n", " [37.761662032164296, -122.41129594712292],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_37365bbb1d0d0271bb69935fdb66d7fd = L.popup({"maxWidth": "100%"});\n", + " var popup_9dd5fde4552a5a8612cea96c183b3fa6 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_34cbf8d572532b7698b71d7c4b13bb9f = $(`<div id="html_34cbf8d572532b7698b71d7c4b13bb9f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_37365bbb1d0d0271bb69935fdb66d7fd.setContent(html_34cbf8d572532b7698b71d7c4b13bb9f);\n", + " var html_4c8dca793e334c3ff94601732b71297f = $(`<div id="html_4c8dca793e334c3ff94601732b71297f" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_9dd5fde4552a5a8612cea96c183b3fa6.setContent(html_4c8dca793e334c3ff94601732b71297f);\n", " \n", "\n", - " circle_marker_ef31319b9bc07f05b5479c03fbf1c8ac.bindPopup(popup_37365bbb1d0d0271bb69935fdb66d7fd)\n", + " circle_marker_aac99ee5e2bc9c31884ad67e98ce54d9.bindPopup(popup_9dd5fde4552a5a8612cea96c183b3fa6)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_23f8dec71d360dabb028c72329076961 = L.circleMarker(\n", + " var circle_marker_54ba5901229f9a7885eeb0768ca56584 = L.circleMarker(\n", " [37.741231897645584, -122.41468376365637],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_28cba9dce0081926046aaf74384b6865 = L.popup({"maxWidth": "100%"});\n", + " var popup_4f4cf84709d2413d647a796541342b6b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_372c2d4abbb85c93ecd2268ae6b9aabe = $(`<div id="html_372c2d4abbb85c93ecd2268ae6b9aabe" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_28cba9dce0081926046aaf74384b6865.setContent(html_372c2d4abbb85c93ecd2268ae6b9aabe);\n", + " var html_d64615689dab34808e9ba9df6322823c = $(`<div id="html_d64615689dab34808e9ba9df6322823c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_4f4cf84709d2413d647a796541342b6b.setContent(html_d64615689dab34808e9ba9df6322823c);\n", " \n", "\n", - " circle_marker_23f8dec71d360dabb028c72329076961.bindPopup(popup_28cba9dce0081926046aaf74384b6865)\n", + " circle_marker_54ba5901229f9a7885eeb0768ca56584.bindPopup(popup_4f4cf84709d2413d647a796541342b6b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_edc2addf31e6bd339d82c89dd537e0bf = L.circleMarker(\n", + " var circle_marker_cbaa3d3d4356d8e0308d313a33d8e551 = L.circleMarker(\n", " [37.7631304733426, -122.41501959094464],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_139d99c00d50e18b5ddcc1e953afc0f7 = L.popup({"maxWidth": "100%"});\n", + " var popup_3b18d405d320e88250fe2256977d4fa4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_1d23cc7dfff497658d60b4b982e502c5 = $(`<div id="html_1d23cc7dfff497658d60b4b982e502c5" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_139d99c00d50e18b5ddcc1e953afc0f7.setContent(html_1d23cc7dfff497658d60b4b982e502c5);\n", + " var html_075413586841cb1195a1be73a8e1d936 = $(`<div id="html_075413586841cb1195a1be73a8e1d936" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_3b18d405d320e88250fe2256977d4fa4.setContent(html_075413586841cb1195a1be73a8e1d936);\n", " \n", "\n", - " circle_marker_edc2addf31e6bd339d82c89dd537e0bf.bindPopup(popup_139d99c00d50e18b5ddcc1e953afc0f7)\n", + " circle_marker_cbaa3d3d4356d8e0308d313a33d8e551.bindPopup(popup_3b18d405d320e88250fe2256977d4fa4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_884e35935bb513eabdbb484f9ab51473 = L.circleMarker(\n", + " var circle_marker_a79e910254fef4d562d25dfa1bbc20fe = L.circleMarker(\n", " [37.74110751909093, -122.41267626306029],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_6858511afc5b872201f3f3b3dc1202ef = L.popup({"maxWidth": "100%"});\n", + " var popup_f48fbf1064fca5ebe910661d66c346c0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_4959526757dfabaff868dbfbea90cec9 = $(`<div id="html_4959526757dfabaff868dbfbea90cec9" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_6858511afc5b872201f3f3b3dc1202ef.setContent(html_4959526757dfabaff868dbfbea90cec9);\n", + " var html_4337367027c0f63a984c552d215d2d32 = $(`<div id="html_4337367027c0f63a984c552d215d2d32" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_f48fbf1064fca5ebe910661d66c346c0.setContent(html_4337367027c0f63a984c552d215d2d32);\n", " \n", "\n", - " circle_marker_884e35935bb513eabdbb484f9ab51473.bindPopup(popup_6858511afc5b872201f3f3b3dc1202ef)\n", + " circle_marker_a79e910254fef4d562d25dfa1bbc20fe.bindPopup(popup_f48fbf1064fca5ebe910661d66c346c0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f07557e8af265e38eea8d830285785f2 = L.circleMarker(\n", + " var circle_marker_8c53b147bd365bcf6a3a8a2335c7f316 = L.circleMarker(\n", " [37.735512604334986, -122.4232176302866],\n", " {"bubblingMouseEvents": true, "color": "cornflowerblue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "cornflowerblue", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 3, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_599901bd05ba2c8658a21f7f4add54f4);\n", + " ).addTo(feature_group_e1f9d57d307450d45b11851a79957446);\n", " \n", " \n", - " var popup_58706868e61e8548dbabc83edcf5efe2 = L.popup({"maxWidth": "100%"});\n", + " var popup_136cc84bc6528ebfbfd198e8ef7389a5 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_3d923c6080c44ad820c8c74f577d11d6 = $(`<div id="html_3d923c6080c44ad820c8c74f577d11d6" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", - " popup_58706868e61e8548dbabc83edcf5efe2.setContent(html_3d923c6080c44ad820c8c74f577d11d6);\n", + " var html_39fab991ef4a2e2c1698f59e2103802c = $(`<div id="html_39fab991ef4a2e2c1698f59e2103802c" style="width: 100.0%; height: 100.0%;">Random Household</div>`)[0];\n", + " popup_136cc84bc6528ebfbfd198e8ef7389a5.setContent(html_39fab991ef4a2e2c1698f59e2103802c);\n", " \n", "\n", - " circle_marker_f07557e8af265e38eea8d830285785f2.bindPopup(popup_58706868e61e8548dbabc83edcf5efe2)\n", + " circle_marker_8c53b147bd365bcf6a3a8a2335c7f316.bindPopup(popup_136cc84bc6528ebfbfd198e8ef7389a5)\n", " ;\n", "\n", " \n", " \n", " \n", - " var feature_group_fd783039ef0b2cdb99465bd8f855b3c6 = L.featureGroup(\n", + " var feature_group_0489a3806a7a1a805a2cd255cc8eb483 = L.featureGroup(\n", " {}\n", - " ).addTo(map_078fe1f28c1dfced6cae424d24908b23);\n", + " ).addTo(map_e5aa3b96114c9a9495cee09af10a3bc5);\n", " \n", " \n", - " var circle_marker_de9ce82e5ec09c28287fbcbb02b75c32 = L.circleMarker(\n", + " var circle_marker_50d1bba90ee5ffbb5fda637edd533de1 = L.circleMarker(\n", " [37.76032, -122.41957],\n", " {"bubblingMouseEvents": true, "color": "crimson", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "crimson", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_fd783039ef0b2cdb99465bd8f855b3c6);\n", + " ).addTo(feature_group_0489a3806a7a1a805a2cd255cc8eb483);\n", " \n", " \n", - " var popup_e7a679af4587053fe47476091346ec36 = L.popup({"maxWidth": "100%"});\n", + " var popup_070371ee72fd9379e2a62c9678d1f9ed = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_368c98634e098452f8137f6443505265 = $(`<div id="html_368c98634e098452f8137f6443505265" style="width: 100.0%; height: 100.0%;">Potential Restaurants</div>`)[0];\n", - " popup_e7a679af4587053fe47476091346ec36.setContent(html_368c98634e098452f8137f6443505265);\n", + " var html_0c61cbccced6b50e8ba2b82a9860f30b = $(`<div id="html_0c61cbccced6b50e8ba2b82a9860f30b" style="width: 100.0%; height: 100.0%;">Potential Restaurant (0)</div>`)[0];\n", + " popup_070371ee72fd9379e2a62c9678d1f9ed.setContent(html_0c61cbccced6b50e8ba2b82a9860f30b);\n", " \n", "\n", - " circle_marker_de9ce82e5ec09c28287fbcbb02b75c32.bindPopup(popup_e7a679af4587053fe47476091346ec36)\n", + " circle_marker_50d1bba90ee5ffbb5fda637edd533de1.bindPopup(popup_070371ee72fd9379e2a62c9678d1f9ed)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4b5a1efae4fcda8ac08b1901335c097d = L.circleMarker(\n", + " var circle_marker_fb8c0087d21f0301269f977f2b5808b0 = L.circleMarker(\n", " [37.75781, -122.40789],\n", " {"bubblingMouseEvents": true, "color": "crimson", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "crimson", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_fd783039ef0b2cdb99465bd8f855b3c6);\n", + " ).addTo(feature_group_0489a3806a7a1a805a2cd255cc8eb483);\n", " \n", " \n", - " var popup_3f121ca0759fded272b873fc72f9c6b3 = L.popup({"maxWidth": "100%"});\n", + " var popup_b7b93ffae0e299d0064e87a4d1156375 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_71203cd9e3552d81e4ef0a15edb83375 = $(`<div id="html_71203cd9e3552d81e4ef0a15edb83375" style="width: 100.0%; height: 100.0%;">Potential Restaurants</div>`)[0];\n", - " popup_3f121ca0759fded272b873fc72f9c6b3.setContent(html_71203cd9e3552d81e4ef0a15edb83375);\n", + " var html_d3e3942ad1fe9243f80d3e41ee174474 = $(`<div id="html_d3e3942ad1fe9243f80d3e41ee174474" style="width: 100.0%; height: 100.0%;">Potential Restaurant (1)</div>`)[0];\n", + " popup_b7b93ffae0e299d0064e87a4d1156375.setContent(html_d3e3942ad1fe9243f80d3e41ee174474);\n", " \n", "\n", - " circle_marker_4b5a1efae4fcda8ac08b1901335c097d.bindPopup(popup_3f121ca0759fded272b873fc72f9c6b3)\n", + " circle_marker_fb8c0087d21f0301269f977f2b5808b0.bindPopup(popup_b7b93ffae0e299d0064e87a4d1156375)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0c561bb3e581051aebd8709e8e7f8127 = L.circleMarker(\n", + " var circle_marker_0f3137c437398870d7868ddcc58f5d04 = L.circleMarker(\n", " [37.74622, -122.41525],\n", " {"bubblingMouseEvents": true, "color": "crimson", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "crimson", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_fd783039ef0b2cdb99465bd8f855b3c6);\n", + " ).addTo(feature_group_0489a3806a7a1a805a2cd255cc8eb483);\n", " \n", " \n", - " var popup_a8a545258ee35aa4b7aa028c2ee3e8af = L.popup({"maxWidth": "100%"});\n", + " var popup_1578894ed03f382cacc202f801448491 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_13fb7ba0e213ede3da8a65a6977e12aa = $(`<div id="html_13fb7ba0e213ede3da8a65a6977e12aa" style="width: 100.0%; height: 100.0%;">Potential Restaurants</div>`)[0];\n", - " popup_a8a545258ee35aa4b7aa028c2ee3e8af.setContent(html_13fb7ba0e213ede3da8a65a6977e12aa);\n", + " var html_ea56bc20fe19e1a3310b62c10ca3480f = $(`<div id="html_ea56bc20fe19e1a3310b62c10ca3480f" style="width: 100.0%; height: 100.0%;">Potential Restaurant (2)</div>`)[0];\n", + " popup_1578894ed03f382cacc202f801448491.setContent(html_ea56bc20fe19e1a3310b62c10ca3480f);\n", " \n", "\n", - " circle_marker_0c561bb3e581051aebd8709e8e7f8127.bindPopup(popup_a8a545258ee35aa4b7aa028c2ee3e8af)\n", + " circle_marker_0f3137c437398870d7868ddcc58f5d04.bindPopup(popup_1578894ed03f382cacc202f801448491)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_64f8bbb21534b816e8c8be3ec8908e92 = L.circleMarker(\n", + " var circle_marker_801900e7113cd1cea2cf3d9b278586d3 = L.circleMarker(\n", " [37.75189, -122.42265],\n", " {"bubblingMouseEvents": true, "color": "crimson", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "crimson", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_fd783039ef0b2cdb99465bd8f855b3c6);\n", + " ).addTo(feature_group_0489a3806a7a1a805a2cd255cc8eb483);\n", " \n", " \n", - " var popup_c141e34f1c0b1350618fcdd416c40630 = L.popup({"maxWidth": "100%"});\n", + " var popup_c54f89c794ee9c2205f6ad915ae4f325 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e854caaf0e8098ca8a924e7456f2acf1 = $(`<div id="html_e854caaf0e8098ca8a924e7456f2acf1" style="width: 100.0%; height: 100.0%;">Potential Restaurants</div>`)[0];\n", - " popup_c141e34f1c0b1350618fcdd416c40630.setContent(html_e854caaf0e8098ca8a924e7456f2acf1);\n", + " var html_52413c804391fd93d01528a1973558a4 = $(`<div id="html_52413c804391fd93d01528a1973558a4" style="width: 100.0%; height: 100.0%;">Potential Restaurant (3)</div>`)[0];\n", + " popup_c54f89c794ee9c2205f6ad915ae4f325.setContent(html_52413c804391fd93d01528a1973558a4);\n", " \n", "\n", - " circle_marker_64f8bbb21534b816e8c8be3ec8908e92.bindPopup(popup_c141e34f1c0b1350618fcdd416c40630)\n", + " circle_marker_801900e7113cd1cea2cf3d9b278586d3.bindPopup(popup_c54f89c794ee9c2205f6ad915ae4f325)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1012b6e8badcba906ae7630cf45d8273 = L.circleMarker(\n", + " var circle_marker_c0931f57ef209dd3679092a8ed39aa45 = L.circleMarker(\n", " [37.74224, -122.4189],\n", " {"bubblingMouseEvents": true, "color": "crimson", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "crimson", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_fd783039ef0b2cdb99465bd8f855b3c6);\n", + " ).addTo(feature_group_0489a3806a7a1a805a2cd255cc8eb483);\n", " \n", " \n", - " var popup_efc466bed795db998e5ea68e02828824 = L.popup({"maxWidth": "100%"});\n", + " var popup_dfd3f4e040cd6ef9bc4f2273fcd11f37 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_4ff5cf241eac73da993bec0e95ceb43c = $(`<div id="html_4ff5cf241eac73da993bec0e95ceb43c" style="width: 100.0%; height: 100.0%;">Potential Restaurants</div>`)[0];\n", - " popup_efc466bed795db998e5ea68e02828824.setContent(html_4ff5cf241eac73da993bec0e95ceb43c);\n", + " var html_a7c44808a1268754d90a260ca07fd32d = $(`<div id="html_a7c44808a1268754d90a260ca07fd32d" style="width: 100.0%; height: 100.0%;">Potential Restaurant (4)</div>`)[0];\n", + " popup_dfd3f4e040cd6ef9bc4f2273fcd11f37.setContent(html_a7c44808a1268754d90a260ca07fd32d);\n", " \n", "\n", - " circle_marker_1012b6e8badcba906ae7630cf45d8273.bindPopup(popup_efc466bed795db998e5ea68e02828824)\n", + " circle_marker_c0931f57ef209dd3679092a8ed39aa45.bindPopup(popup_dfd3f4e040cd6ef9bc4f2273fcd11f37)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_400d9ff3c07e640f92c1d513027993f6 = L.circleMarker(\n", + " var circle_marker_6a8f24803c90b7ffc986faad4dd5e400 = L.circleMarker(\n", " [37.73596, -122.41365],\n", " {"bubblingMouseEvents": true, "color": "crimson", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "crimson", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_fd783039ef0b2cdb99465bd8f855b3c6);\n", + " ).addTo(feature_group_0489a3806a7a1a805a2cd255cc8eb483);\n", " \n", " \n", - " var popup_8b7bd36e2723d4a0f08253a15cf210c1 = L.popup({"maxWidth": "100%"});\n", + " var popup_51ce7515952403f4d99a4025f54a131a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_4bae9bead3a1d32f58d3c6259cc7dcb6 = $(`<div id="html_4bae9bead3a1d32f58d3c6259cc7dcb6" style="width: 100.0%; height: 100.0%;">Potential Restaurants</div>`)[0];\n", - " popup_8b7bd36e2723d4a0f08253a15cf210c1.setContent(html_4bae9bead3a1d32f58d3c6259cc7dcb6);\n", + " var html_e0129cde52d7aa66e70eafbbb007ea34 = $(`<div id="html_e0129cde52d7aa66e70eafbbb007ea34" style="width: 100.0%; height: 100.0%;">Potential Restaurant (5)</div>`)[0];\n", + " popup_51ce7515952403f4d99a4025f54a131a.setContent(html_e0129cde52d7aa66e70eafbbb007ea34);\n", " \n", "\n", - " circle_marker_400d9ff3c07e640f92c1d513027993f6.bindPopup(popup_8b7bd36e2723d4a0f08253a15cf210c1)\n", + " circle_marker_6a8f24803c90b7ffc986faad4dd5e400.bindPopup(popup_51ce7515952403f4d99a4025f54a131a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_9b80ea8779c7f1309d64817ff5c76b9c = L.circleMarker(\n", + " var circle_marker_fc6629f4f6a72a82573f7a3187f174a7 = L.circleMarker(\n", " [37.76454, -122.40846],\n", " {"bubblingMouseEvents": true, "color": "crimson", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "crimson", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_fd783039ef0b2cdb99465bd8f855b3c6);\n", + " ).addTo(feature_group_0489a3806a7a1a805a2cd255cc8eb483);\n", " \n", " \n", - " var popup_156733e56ddb20ca41293105c83eccde = L.popup({"maxWidth": "100%"});\n", + " var popup_5867fe3c3aab2213480ca6bbf6c66208 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_33b83c9790049e51cf6e8fccde305b32 = $(`<div id="html_33b83c9790049e51cf6e8fccde305b32" style="width: 100.0%; height: 100.0%;">Potential Restaurants</div>`)[0];\n", - " popup_156733e56ddb20ca41293105c83eccde.setContent(html_33b83c9790049e51cf6e8fccde305b32);\n", + " var html_6eaa728068cbdab2ae9ec4d361e7f413 = $(`<div id="html_6eaa728068cbdab2ae9ec4d361e7f413" style="width: 100.0%; height: 100.0%;">Potential Restaurant (6)</div>`)[0];\n", + " popup_5867fe3c3aab2213480ca6bbf6c66208.setContent(html_6eaa728068cbdab2ae9ec4d361e7f413);\n", " \n", "\n", - " circle_marker_9b80ea8779c7f1309d64817ff5c76b9c.bindPopup(popup_156733e56ddb20ca41293105c83eccde)\n", + " circle_marker_fc6629f4f6a72a82573f7a3187f174a7.bindPopup(popup_5867fe3c3aab2213480ca6bbf6c66208)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_94e59ca64f40d5dc1dd7371cbf51bb0c = L.circleMarker(\n", + " var circle_marker_9dfd680e8e9574e72b689e7d121e965e = L.circleMarker(\n", " [37.75905, -122.41489],\n", " {"bubblingMouseEvents": true, "color": "crimson", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "crimson", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_fd783039ef0b2cdb99465bd8f855b3c6);\n", + " ).addTo(feature_group_0489a3806a7a1a805a2cd255cc8eb483);\n", " \n", " \n", - " var popup_a2a07495e01dfbe11e9dd4e8a5bbb9dc = L.popup({"maxWidth": "100%"});\n", + " var popup_492ff7be7bb3cae0e057e8fed810d474 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d8e9679e8c878ca1d7af58bcb270264e = $(`<div id="html_d8e9679e8c878ca1d7af58bcb270264e" style="width: 100.0%; height: 100.0%;">Potential Restaurants</div>`)[0];\n", - " popup_a2a07495e01dfbe11e9dd4e8a5bbb9dc.setContent(html_d8e9679e8c878ca1d7af58bcb270264e);\n", + " var html_01912053b7ddd2bd2789a30e40b18c6e = $(`<div id="html_01912053b7ddd2bd2789a30e40b18c6e" style="width: 100.0%; height: 100.0%;">Potential Restaurant (7)</div>`)[0];\n", + " popup_492ff7be7bb3cae0e057e8fed810d474.setContent(html_01912053b7ddd2bd2789a30e40b18c6e);\n", " \n", "\n", - " circle_marker_94e59ca64f40d5dc1dd7371cbf51bb0c.bindPopup(popup_a2a07495e01dfbe11e9dd4e8a5bbb9dc)\n", + " circle_marker_9dfd680e8e9574e72b689e7d121e965e.bindPopup(popup_492ff7be7bb3cae0e057e8fed810d474)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b341a0713b4ef71ba8ace16dff323075 = L.circleMarker(\n", + " var circle_marker_2a6995cd12460dc1780f1f330f7f152b = L.circleMarker(\n", " [37.74082, -122.42365],\n", " {"bubblingMouseEvents": true, "color": "crimson", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "crimson", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_fd783039ef0b2cdb99465bd8f855b3c6);\n", + " ).addTo(feature_group_0489a3806a7a1a805a2cd255cc8eb483);\n", " \n", " \n", - " var popup_53d10a7a1637d0af6557aff99b4489f5 = L.popup({"maxWidth": "100%"});\n", + " var popup_a6da8b47d1dc23e36b1e4ee1c041af78 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f02447d12bfe5bbb4c69ebb861b8bd13 = $(`<div id="html_f02447d12bfe5bbb4c69ebb861b8bd13" style="width: 100.0%; height: 100.0%;">Potential Restaurants</div>`)[0];\n", - " popup_53d10a7a1637d0af6557aff99b4489f5.setContent(html_f02447d12bfe5bbb4c69ebb861b8bd13);\n", + " var html_c1fb375c21cba00f64af5758bafe1cd0 = $(`<div id="html_c1fb375c21cba00f64af5758bafe1cd0" style="width: 100.0%; height: 100.0%;">Potential Restaurant (8)</div>`)[0];\n", + " popup_a6da8b47d1dc23e36b1e4ee1c041af78.setContent(html_c1fb375c21cba00f64af5758bafe1cd0);\n", " \n", "\n", - " circle_marker_b341a0713b4ef71ba8ace16dff323075.bindPopup(popup_53d10a7a1637d0af6557aff99b4489f5)\n", + " circle_marker_2a6995cd12460dc1780f1f330f7f152b.bindPopup(popup_a6da8b47d1dc23e36b1e4ee1c041af78)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7a94bb8bfeb15f6002bce274c39809ff = L.circleMarker(\n", + " var circle_marker_757e81ffea55df3ac2d9b29c1311e42e = L.circleMarker(\n", " [37.74899, -122.40667],\n", " {"bubblingMouseEvents": true, "color": "crimson", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "crimson", "fillOpacity": 1, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_fd783039ef0b2cdb99465bd8f855b3c6);\n", + " ).addTo(feature_group_0489a3806a7a1a805a2cd255cc8eb483);\n", " \n", " \n", - " var popup_28aea0ed073a64b811ee751104e8d324 = L.popup({"maxWidth": "100%"});\n", + " var popup_366a537cd281151556d216c3bafaae64 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_78d5d0c489208f2269ec4f9614e64dd5 = $(`<div id="html_78d5d0c489208f2269ec4f9614e64dd5" style="width: 100.0%; height: 100.0%;">Potential Restaurants</div>`)[0];\n", - " popup_28aea0ed073a64b811ee751104e8d324.setContent(html_78d5d0c489208f2269ec4f9614e64dd5);\n", + " var html_2b4008d3531d09805f8d342cc461eeea = $(`<div id="html_2b4008d3531d09805f8d342cc461eeea" style="width: 100.0%; height: 100.0%;">Potential Restaurant (9)</div>`)[0];\n", + " popup_366a537cd281151556d216c3bafaae64.setContent(html_2b4008d3531d09805f8d342cc461eeea);\n", " \n", "\n", - " circle_marker_7a94bb8bfeb15f6002bce274c39809ff.bindPopup(popup_28aea0ed073a64b811ee751104e8d324)\n", + " circle_marker_757e81ffea55df3ac2d9b29c1311e42e.bindPopup(popup_366a537cd281151556d216c3bafaae64)\n", " ;\n", "\n", " \n", " \n", " \n", - " var feature_group_596f91858b216a39a5de29f9242f0d5a = L.featureGroup(\n", + " var feature_group_a1f780a0deb2c9708cd6dd1abf4e65a4 = L.featureGroup(\n", " {}\n", - " ).addTo(map_078fe1f28c1dfced6cae424d24908b23);\n", + " ).addTo(map_e5aa3b96114c9a9495cee09af10a3bc5);\n", " \n", " \n", - " var circle_marker_92e4541cfd1b54450fc0d55a0fa1a81d = L.circleMarker(\n", + " var circle_marker_278ee48f4d85c5b2837a66f3cf9e0f88 = L.circleMarker(\n", " [37.74224, -122.4189],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 30, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_596f91858b216a39a5de29f9242f0d5a);\n", + " ).addTo(feature_group_a1f780a0deb2c9708cd6dd1abf4e65a4);\n", " \n", " \n", - " var popup_0ab726bef16cef2995e0c1ffb95fe77e = L.popup({"autoClose": false, "maxWidth": "100%"});\n", + " var popup_1ca4b2d731012ed872672e3f2a768dbc = L.popup({"autoClose": false, "maxWidth": "100%"});\n", "\n", " \n", - " var html_9cc3bd3c0cf0dc84d3a49fdeba52b44d = $(`<div id="html_9cc3bd3c0cf0dc84d3a49fdeba52b44d" style="width: 100.0%; height: 100.0%;">Sited Restaurant</div>`)[0];\n", - " popup_0ab726bef16cef2995e0c1ffb95fe77e.setContent(html_9cc3bd3c0cf0dc84d3a49fdeba52b44d);\n", + " var html_ee641799ea39489e8201131624eee664 = $(`<div id="html_ee641799ea39489e8201131624eee664" style="width: 100.0%; height: 100.0%;">Sited Restaurant (4)</div>`)[0];\n", + " popup_1ca4b2d731012ed872672e3f2a768dbc.setContent(html_ee641799ea39489e8201131624eee664);\n", " \n", "\n", - " circle_marker_92e4541cfd1b54450fc0d55a0fa1a81d.bindPopup(popup_0ab726bef16cef2995e0c1ffb95fe77e)\n", + " circle_marker_278ee48f4d85c5b2837a66f3cf9e0f88.bindPopup(popup_1ca4b2d731012ed872672e3f2a768dbc)\n", " .openPopup();\n", "\n", " \n", " \n", " \n", - " var circle_marker_e67b37b95d11d517ea9ba608fbcf113f = L.circleMarker(\n", + " var circle_marker_c60cc161824c834a39025f3047db67bd = L.circleMarker(\n", " [37.75905, -122.41489],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 30, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_596f91858b216a39a5de29f9242f0d5a);\n", + " ).addTo(feature_group_a1f780a0deb2c9708cd6dd1abf4e65a4);\n", " \n", " \n", - " var popup_59a89dffff5198dd412495ac361df8f6 = L.popup({"autoClose": false, "maxWidth": "100%"});\n", + " var popup_e3c715b24282009cc7a514556ee931e4 = L.popup({"autoClose": false, "maxWidth": "100%"});\n", "\n", " \n", - " var html_849decb04bc39b4e65076508bc77be78 = $(`<div id="html_849decb04bc39b4e65076508bc77be78" style="width: 100.0%; height: 100.0%;">Sited Restaurant</div>`)[0];\n", - " popup_59a89dffff5198dd412495ac361df8f6.setContent(html_849decb04bc39b4e65076508bc77be78);\n", + " var html_7e0cfc4cc6dd3c6da81ab2ed652bbd4a = $(`<div id="html_7e0cfc4cc6dd3c6da81ab2ed652bbd4a" style="width: 100.0%; height: 100.0%;">Sited Restaurant (7)</div>`)[0];\n", + " popup_e3c715b24282009cc7a514556ee931e4.setContent(html_7e0cfc4cc6dd3c6da81ab2ed652bbd4a);\n", " \n", "\n", - " circle_marker_e67b37b95d11d517ea9ba608fbcf113f.bindPopup(popup_59a89dffff5198dd412495ac361df8f6)\n", + " circle_marker_c60cc161824c834a39025f3047db67bd.bindPopup(popup_e3c715b24282009cc7a514556ee931e4)\n", " .openPopup();\n", "\n", " \n", " \n", " \n", - " var feature_group_07d204172479c7c97eb3580bde407b00 = L.featureGroup(\n", + " var feature_group_e4d0d592c715910b0e50335b3e4f1345 = L.featureGroup(\n", " {}\n", - " ).addTo(map_078fe1f28c1dfced6cae424d24908b23);\n", + " ).addTo(map_e5aa3b96114c9a9495cee09af10a3bc5);\n", " \n", " \n", - " var circle_marker_ad2482e632d1a1ac316b28615dc3f07a = L.circleMarker(\n", + " var circle_marker_9b0dece3889c93a26eed1682905690ae = L.circleMarker(\n", " [37.74575134212079, -122.41524164428937],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_bcee4c63340d437782ef9a25a9370696 = L.popup({"maxWidth": "100%"});\n", + " var popup_328b6ee945a72910b9b6dfeaabf8aa7c = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_318102702a31ef08d9b2440100ba2797 = $(`<div id="html_318102702a31ef08d9b2440100ba2797" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_bcee4c63340d437782ef9a25a9370696.setContent(html_318102702a31ef08d9b2440100ba2797);\n", + " var html_318f2ecfe618c306a589cc0a9976b2e4 = $(`<div id="html_318f2ecfe618c306a589cc0a9976b2e4" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_328b6ee945a72910b9b6dfeaabf8aa7c.setContent(html_318f2ecfe618c306a589cc0a9976b2e4);\n", " \n", "\n", - " circle_marker_ad2482e632d1a1ac316b28615dc3f07a.bindPopup(popup_bcee4c63340d437782ef9a25a9370696)\n", + " circle_marker_9b0dece3889c93a26eed1682905690ae.bindPopup(popup_328b6ee945a72910b9b6dfeaabf8aa7c)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2b143e38529113bf75fa415fd4140ff3 = L.circleMarker(\n", + " var circle_marker_ab16c3472bcea1b89621bc52f53df4a3 = L.circleMarker(\n", " [37.746517470353716, -122.41939041609294],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_9353165415e67ce1237666526c1e3c6c = L.popup({"maxWidth": "100%"});\n", + " var popup_ab3cb257d7a706f7e2bb571d654901f0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_aeaf2c3de75c6099ecd2144cfb3c650e = $(`<div id="html_aeaf2c3de75c6099ecd2144cfb3c650e" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_9353165415e67ce1237666526c1e3c6c.setContent(html_aeaf2c3de75c6099ecd2144cfb3c650e);\n", + " var html_2409cf4e2326288daf8ddb051454f2c9 = $(`<div id="html_2409cf4e2326288daf8ddb051454f2c9" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_ab3cb257d7a706f7e2bb571d654901f0.setContent(html_2409cf4e2326288daf8ddb051454f2c9);\n", " \n", "\n", - " circle_marker_2b143e38529113bf75fa415fd4140ff3.bindPopup(popup_9353165415e67ce1237666526c1e3c6c)\n", + " circle_marker_ab16c3472bcea1b89621bc52f53df4a3.bindPopup(popup_ab3cb257d7a706f7e2bb571d654901f0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ac2d09f0c935ad187f56fc3e0fca75dc = L.circleMarker(\n", + " var circle_marker_b88983ccef41764875f949e3c41a43ea = L.circleMarker(\n", " [37.735965467842085, -122.4232014632692],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_60b0b1a7cf04e64ea81acfa5c4d7668e = L.popup({"maxWidth": "100%"});\n", + " var popup_d94da1de50dddc5cbcc7708b3466ab08 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_da63a0e320955bbf869a8a732cbd05ea = $(`<div id="html_da63a0e320955bbf869a8a732cbd05ea" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_60b0b1a7cf04e64ea81acfa5c4d7668e.setContent(html_da63a0e320955bbf869a8a732cbd05ea);\n", + " var html_3f35b2bbc20c23a29ce5df7a5a918e64 = $(`<div id="html_3f35b2bbc20c23a29ce5df7a5a918e64" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_d94da1de50dddc5cbcc7708b3466ab08.setContent(html_3f35b2bbc20c23a29ce5df7a5a918e64);\n", " \n", "\n", - " circle_marker_ac2d09f0c935ad187f56fc3e0fca75dc.bindPopup(popup_60b0b1a7cf04e64ea81acfa5c4d7668e)\n", + " circle_marker_b88983ccef41764875f949e3c41a43ea.bindPopup(popup_d94da1de50dddc5cbcc7708b3466ab08)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ac9449c8575223d25f7a614ef58c21a9 = L.circleMarker(\n", + " var circle_marker_253cfba20b7b7870018e233d8fddc452 = L.circleMarker(\n", " [37.74400636648324, -122.42051691306378],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_007d7ad2d5a3a9457df6badddfbf1c21 = L.popup({"maxWidth": "100%"});\n", + " var popup_dc1efaf2f651ae89795633a18ff43567 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_59d967839f28eedb55e7a29aaeece7bc = $(`<div id="html_59d967839f28eedb55e7a29aaeece7bc" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_007d7ad2d5a3a9457df6badddfbf1c21.setContent(html_59d967839f28eedb55e7a29aaeece7bc);\n", + " var html_5de887e4cf5ffb0600ec756de4c09f4d = $(`<div id="html_5de887e4cf5ffb0600ec756de4c09f4d" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_dc1efaf2f651ae89795633a18ff43567.setContent(html_5de887e4cf5ffb0600ec756de4c09f4d);\n", " \n", "\n", - " circle_marker_ac9449c8575223d25f7a614ef58c21a9.bindPopup(popup_007d7ad2d5a3a9457df6badddfbf1c21)\n", + " circle_marker_253cfba20b7b7870018e233d8fddc452.bindPopup(popup_dc1efaf2f651ae89795633a18ff43567)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bf107cac0d2b37f3b22a7bcc773352e1 = L.circleMarker(\n", + " var circle_marker_517ce5c3240fec3c9173eb5bc5a99f56 = L.circleMarker(\n", " [37.74657122463306, -122.4140060513352],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_a474c4ddbc06a6fc32b0793b18635ee7 = L.popup({"maxWidth": "100%"});\n", + " var popup_82eef46d58bf26d85d97ac6a0becdb50 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a0ce0f79e814f1aba2656f8fce90faaf = $(`<div id="html_a0ce0f79e814f1aba2656f8fce90faaf" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_a474c4ddbc06a6fc32b0793b18635ee7.setContent(html_a0ce0f79e814f1aba2656f8fce90faaf);\n", + " var html_ba0b2e82008c4f0f692d2b6603bf8279 = $(`<div id="html_ba0b2e82008c4f0f692d2b6603bf8279" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_82eef46d58bf26d85d97ac6a0becdb50.setContent(html_ba0b2e82008c4f0f692d2b6603bf8279);\n", " \n", "\n", - " circle_marker_bf107cac0d2b37f3b22a7bcc773352e1.bindPopup(popup_a474c4ddbc06a6fc32b0793b18635ee7)\n", + " circle_marker_517ce5c3240fec3c9173eb5bc5a99f56.bindPopup(popup_82eef46d58bf26d85d97ac6a0becdb50)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bddef96aef0fe561585696f9ba41c101 = L.circleMarker(\n", + " var circle_marker_766684a7f53efb9ecff27184f8f69d75 = L.circleMarker(\n", " [37.737074528368524, -122.42323994562125],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_f2bcb36cd43466a396b257812c63cef0 = L.popup({"maxWidth": "100%"});\n", + " var popup_64a68002a2c6565b8e62f3d781eb61e4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_5af4a5b76f405a0b1f9f0021d4e55981 = $(`<div id="html_5af4a5b76f405a0b1f9f0021d4e55981" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_f2bcb36cd43466a396b257812c63cef0.setContent(html_5af4a5b76f405a0b1f9f0021d4e55981);\n", + " var html_d2ffa7319c785b4643df5e40a36270a2 = $(`<div id="html_d2ffa7319c785b4643df5e40a36270a2" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_64a68002a2c6565b8e62f3d781eb61e4.setContent(html_d2ffa7319c785b4643df5e40a36270a2);\n", " \n", "\n", - " circle_marker_bddef96aef0fe561585696f9ba41c101.bindPopup(popup_f2bcb36cd43466a396b257812c63cef0)\n", + " circle_marker_766684a7f53efb9ecff27184f8f69d75.bindPopup(popup_64a68002a2c6565b8e62f3d781eb61e4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_9c0fcf662d0006eb44c1762059825bcc = L.circleMarker(\n", + " var circle_marker_0a0734ba31249dcb2c19bf3becd7450b = L.circleMarker(\n", " [37.74022473080378, -122.41188716363442],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_a6bd2b6a1bd83ab6a6dc2810439f0ff2 = L.popup({"maxWidth": "100%"});\n", + " var popup_3231d74bfc16ec679793c6de8d74dddc = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_7551e47d748e8784c27014715370b1af = $(`<div id="html_7551e47d748e8784c27014715370b1af" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_a6bd2b6a1bd83ab6a6dc2810439f0ff2.setContent(html_7551e47d748e8784c27014715370b1af);\n", + " var html_d29c3ab9c7e89352919ecab8f19a858c = $(`<div id="html_d29c3ab9c7e89352919ecab8f19a858c" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_3231d74bfc16ec679793c6de8d74dddc.setContent(html_d29c3ab9c7e89352919ecab8f19a858c);\n", " \n", "\n", - " circle_marker_9c0fcf662d0006eb44c1762059825bcc.bindPopup(popup_a6bd2b6a1bd83ab6a6dc2810439f0ff2)\n", + " circle_marker_0a0734ba31249dcb2c19bf3becd7450b.bindPopup(popup_3231d74bfc16ec679793c6de8d74dddc)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_24cbbbebb3b477e67fce6871db1f219c = L.circleMarker(\n", + " var circle_marker_7154576dd4c4ce2a80ed1702ad14bd1b = L.circleMarker(\n", " [37.73992108767487, -122.4166609618889],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_1fd295f16cf4dd656f8af1e1d4731770 = L.popup({"maxWidth": "100%"});\n", + " var popup_36529b585ace97056bb8c0180dad3793 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_99e095929d0e4c3d240468a5f88a5642 = $(`<div id="html_99e095929d0e4c3d240468a5f88a5642" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_1fd295f16cf4dd656f8af1e1d4731770.setContent(html_99e095929d0e4c3d240468a5f88a5642);\n", + " var html_c4e804e611777b7af8db5f90967c71f2 = $(`<div id="html_c4e804e611777b7af8db5f90967c71f2" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_36529b585ace97056bb8c0180dad3793.setContent(html_c4e804e611777b7af8db5f90967c71f2);\n", " \n", "\n", - " circle_marker_24cbbbebb3b477e67fce6871db1f219c.bindPopup(popup_1fd295f16cf4dd656f8af1e1d4731770)\n", + " circle_marker_7154576dd4c4ce2a80ed1702ad14bd1b.bindPopup(popup_36529b585ace97056bb8c0180dad3793)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_de68708b97e3ea2565d1a25f5ca2e9b2 = L.circleMarker(\n", + " var circle_marker_84c18af564ebd0810258d05bd0e1806f = L.circleMarker(\n", " [37.735330127834594, -122.42451537332036],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_1fb563afe36b66d90b953645d34c120f = L.popup({"maxWidth": "100%"});\n", + " var popup_4787b6cad6b7c392a1f8890923f909ba = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_b4764b4342c1f12f6e48b6bc4d6648bb = $(`<div id="html_b4764b4342c1f12f6e48b6bc4d6648bb" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_1fb563afe36b66d90b953645d34c120f.setContent(html_b4764b4342c1f12f6e48b6bc4d6648bb);\n", + " var html_d008a76ed5d026b8dc4532f7683be94f = $(`<div id="html_d008a76ed5d026b8dc4532f7683be94f" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_4787b6cad6b7c392a1f8890923f909ba.setContent(html_d008a76ed5d026b8dc4532f7683be94f);\n", " \n", "\n", - " circle_marker_de68708b97e3ea2565d1a25f5ca2e9b2.bindPopup(popup_1fb563afe36b66d90b953645d34c120f)\n", + " circle_marker_84c18af564ebd0810258d05bd0e1806f.bindPopup(popup_4787b6cad6b7c392a1f8890923f909ba)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_32a461e95d30963fbea773d29c57327e = L.circleMarker(\n", + " var circle_marker_1d194c4e6ac4e6fda3c48518272f1020 = L.circleMarker(\n", " [37.74417809964479, -122.42355414116491],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_70165e7230e41cce097f66f4d4f2e12a = L.popup({"maxWidth": "100%"});\n", + " var popup_5c5d56a59e8293e946949bb2c3bf5f1a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ba755aac99c6a748c644fdb33882a4a6 = $(`<div id="html_ba755aac99c6a748c644fdb33882a4a6" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_70165e7230e41cce097f66f4d4f2e12a.setContent(html_ba755aac99c6a748c644fdb33882a4a6);\n", + " var html_92a1102511d68401161068697ecba22d = $(`<div id="html_92a1102511d68401161068697ecba22d" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_5c5d56a59e8293e946949bb2c3bf5f1a.setContent(html_92a1102511d68401161068697ecba22d);\n", " \n", "\n", - " circle_marker_32a461e95d30963fbea773d29c57327e.bindPopup(popup_70165e7230e41cce097f66f4d4f2e12a)\n", + " circle_marker_1d194c4e6ac4e6fda3c48518272f1020.bindPopup(popup_5c5d56a59e8293e946949bb2c3bf5f1a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_810a1fe2d6005d53113770ebf5fefbf8 = L.circleMarker(\n", + " var circle_marker_1da5192afffba0d9d382b7b2e4b721cf = L.circleMarker(\n", " [37.735666491828425, -122.4213505852644],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_48f33dba7d3bb912bcbed11ec61bd477 = L.popup({"maxWidth": "100%"});\n", + " var popup_14ea557b6043eed9992433352b41dfac = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a524c956cbc1e80d4811e6ded64adfbe = $(`<div id="html_a524c956cbc1e80d4811e6ded64adfbe" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_48f33dba7d3bb912bcbed11ec61bd477.setContent(html_a524c956cbc1e80d4811e6ded64adfbe);\n", + " var html_5582a4c5f6223c64e68a75ce7cc750ab = $(`<div id="html_5582a4c5f6223c64e68a75ce7cc750ab" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_14ea557b6043eed9992433352b41dfac.setContent(html_5582a4c5f6223c64e68a75ce7cc750ab);\n", " \n", "\n", - " circle_marker_810a1fe2d6005d53113770ebf5fefbf8.bindPopup(popup_48f33dba7d3bb912bcbed11ec61bd477)\n", + " circle_marker_1da5192afffba0d9d382b7b2e4b721cf.bindPopup(popup_14ea557b6043eed9992433352b41dfac)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_6589065392e0375bf4b2680d7f1d6510 = L.circleMarker(\n", + " var circle_marker_55c09041592681346c67baae7e0d817c = L.circleMarker(\n", " [37.73561618691874, -122.42100984111212],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_9019d329e0f0b3897e603b9073c160e2 = L.popup({"maxWidth": "100%"});\n", + " var popup_af6c1c60d7f48d76608449242d2598f0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_de7738e5f5bdb6429bd7ed8b30c3e983 = $(`<div id="html_de7738e5f5bdb6429bd7ed8b30c3e983" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_9019d329e0f0b3897e603b9073c160e2.setContent(html_de7738e5f5bdb6429bd7ed8b30c3e983);\n", + " var html_43963a692c336cd8fc40cc173c6938bd = $(`<div id="html_43963a692c336cd8fc40cc173c6938bd" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_af6c1c60d7f48d76608449242d2598f0.setContent(html_43963a692c336cd8fc40cc173c6938bd);\n", " \n", "\n", - " circle_marker_6589065392e0375bf4b2680d7f1d6510.bindPopup(popup_9019d329e0f0b3897e603b9073c160e2)\n", + " circle_marker_55c09041592681346c67baae7e0d817c.bindPopup(popup_af6c1c60d7f48d76608449242d2598f0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1c4624f2de93106afbfbda8cafac8b3f = L.circleMarker(\n", + " var circle_marker_ede4f3a2f74d67f5ce890253a66c9168 = L.circleMarker(\n", " [37.74573767903614, -122.42045162186741],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_0543a260db0458d3cac13e6fdc9426ed = L.popup({"maxWidth": "100%"});\n", + " var popup_93f2dc4765c09a6e4a1f750a2048bd72 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6d4fb1f578afebc719b196f1d32959c8 = $(`<div id="html_6d4fb1f578afebc719b196f1d32959c8" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_0543a260db0458d3cac13e6fdc9426ed.setContent(html_6d4fb1f578afebc719b196f1d32959c8);\n", + " var html_496518f1962d5f2b4bda061d0e8a690b = $(`<div id="html_496518f1962d5f2b4bda061d0e8a690b" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_93f2dc4765c09a6e4a1f750a2048bd72.setContent(html_496518f1962d5f2b4bda061d0e8a690b);\n", " \n", "\n", - " circle_marker_1c4624f2de93106afbfbda8cafac8b3f.bindPopup(popup_0543a260db0458d3cac13e6fdc9426ed)\n", + " circle_marker_ede4f3a2f74d67f5ce890253a66c9168.bindPopup(popup_93f2dc4765c09a6e4a1f750a2048bd72)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_5665b79fd0e131a9f3a4db5944d4fe14 = L.circleMarker(\n", + " var circle_marker_b012b4f56faea85010b649a7a1fd791a = L.circleMarker(\n", " [37.74063905928569, -122.4140979332363],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_0fdd75fbb0010db7d9bae405658e9be2 = L.popup({"maxWidth": "100%"});\n", + " var popup_78c9ddb1f22fc2dc2ce0dde4b0f6036d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_9c2fb99a7ebacad01a8b49b1bc57a9d6 = $(`<div id="html_9c2fb99a7ebacad01a8b49b1bc57a9d6" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_0fdd75fbb0010db7d9bae405658e9be2.setContent(html_9c2fb99a7ebacad01a8b49b1bc57a9d6);\n", + " var html_64b3a5bc2b4928415d3af9144a49f3bc = $(`<div id="html_64b3a5bc2b4928415d3af9144a49f3bc" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_78c9ddb1f22fc2dc2ce0dde4b0f6036d.setContent(html_64b3a5bc2b4928415d3af9144a49f3bc);\n", " \n", "\n", - " circle_marker_5665b79fd0e131a9f3a4db5944d4fe14.bindPopup(popup_0fdd75fbb0010db7d9bae405658e9be2)\n", + " circle_marker_b012b4f56faea85010b649a7a1fd791a.bindPopup(popup_78c9ddb1f22fc2dc2ce0dde4b0f6036d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_6de71fade46f29a819a679cc423b62ee = L.circleMarker(\n", + " var circle_marker_6a0328df75bf751081846d97feee45b4 = L.circleMarker(\n", " [37.73476727461245, -122.41520587274562],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_7e738847a205e896d0e0b3771fa468f3 = L.popup({"maxWidth": "100%"});\n", + " var popup_0bb8f47d210cecf000f76a3228b3e4ba = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_9aab61f337025564c13d33350c6c3056 = $(`<div id="html_9aab61f337025564c13d33350c6c3056" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_7e738847a205e896d0e0b3771fa468f3.setContent(html_9aab61f337025564c13d33350c6c3056);\n", + " var html_30ccfa61070b8a9bf64c509876ade043 = $(`<div id="html_30ccfa61070b8a9bf64c509876ade043" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_0bb8f47d210cecf000f76a3228b3e4ba.setContent(html_30ccfa61070b8a9bf64c509876ade043);\n", " \n", "\n", - " circle_marker_6de71fade46f29a819a679cc423b62ee.bindPopup(popup_7e738847a205e896d0e0b3771fa468f3)\n", + " circle_marker_6a0328df75bf751081846d97feee45b4.bindPopup(popup_0bb8f47d210cecf000f76a3228b3e4ba)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_3c973c01f5e333596f4fb83a56888ebb = L.circleMarker(\n", + " var circle_marker_c48b3a825e26a5f43aaa38ba2b9d9838 = L.circleMarker(\n", " [37.73782393776602, -122.42118193788865],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_8ec7d41370f9cb90d39048690ba34bb4 = L.popup({"maxWidth": "100%"});\n", + " var popup_7f953715fca6f5bcc0cfe6aa10797c81 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_c93258f5cd7e35447d9c35db003f17cd = $(`<div id="html_c93258f5cd7e35447d9c35db003f17cd" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_8ec7d41370f9cb90d39048690ba34bb4.setContent(html_c93258f5cd7e35447d9c35db003f17cd);\n", + " var html_e9fdebab9b4e52dc1522f13612f0913a = $(`<div id="html_e9fdebab9b4e52dc1522f13612f0913a" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_7f953715fca6f5bcc0cfe6aa10797c81.setContent(html_e9fdebab9b4e52dc1522f13612f0913a);\n", " \n", "\n", - " circle_marker_3c973c01f5e333596f4fb83a56888ebb.bindPopup(popup_8ec7d41370f9cb90d39048690ba34bb4)\n", + " circle_marker_c48b3a825e26a5f43aaa38ba2b9d9838.bindPopup(popup_7f953715fca6f5bcc0cfe6aa10797c81)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_601043528b17a533da1efa684024b1c4 = L.circleMarker(\n", + " var circle_marker_51a6d49993dd64d4e3d4317377490824 = L.circleMarker(\n", " [37.740797233065884, -122.41125572058564],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_82878bb2f603670f6520647c69a44f49 = L.popup({"maxWidth": "100%"});\n", + " var popup_7da83fcdef023ebd5d47f07d72d5e6af = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_8a72090fe5fed0eaaf8ce9bcda688797 = $(`<div id="html_8a72090fe5fed0eaaf8ce9bcda688797" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_82878bb2f603670f6520647c69a44f49.setContent(html_8a72090fe5fed0eaaf8ce9bcda688797);\n", + " var html_1db78e3e7862c90ff8efb41bab78a3a0 = $(`<div id="html_1db78e3e7862c90ff8efb41bab78a3a0" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_7da83fcdef023ebd5d47f07d72d5e6af.setContent(html_1db78e3e7862c90ff8efb41bab78a3a0);\n", " \n", "\n", - " circle_marker_601043528b17a533da1efa684024b1c4.bindPopup(popup_82878bb2f603670f6520647c69a44f49)\n", + " circle_marker_51a6d49993dd64d4e3d4317377490824.bindPopup(popup_7da83fcdef023ebd5d47f07d72d5e6af)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_95ee95794418fd156fcb237bd2e2d8de = L.circleMarker(\n", + " var circle_marker_46f161d5b8305c91555feb223fa1f0e9 = L.circleMarker(\n", " [37.74173662069288, -122.41070210763999],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_8210e314295d5b8105edc651b5504b6d = L.popup({"maxWidth": "100%"});\n", + " var popup_b752e6b123a33efcfbb814f0cbd2651b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_eed7055c0da78965047331aaaa5f219d = $(`<div id="html_eed7055c0da78965047331aaaa5f219d" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_8210e314295d5b8105edc651b5504b6d.setContent(html_eed7055c0da78965047331aaaa5f219d);\n", + " var html_334a16cdacea6cb0c4e0bf984e07b2a6 = $(`<div id="html_334a16cdacea6cb0c4e0bf984e07b2a6" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_b752e6b123a33efcfbb814f0cbd2651b.setContent(html_334a16cdacea6cb0c4e0bf984e07b2a6);\n", " \n", "\n", - " circle_marker_95ee95794418fd156fcb237bd2e2d8de.bindPopup(popup_8210e314295d5b8105edc651b5504b6d)\n", + " circle_marker_46f161d5b8305c91555feb223fa1f0e9.bindPopup(popup_b752e6b123a33efcfbb814f0cbd2651b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4a564a45b6359d67e0d6256e19034e98 = L.circleMarker(\n", + " var circle_marker_2e4c409f1675e9602804038601200b2c = L.circleMarker(\n", " [37.74148457789174, -122.41170660507584],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_ebc9b37f501275936c0953a9e9c7f17d = L.popup({"maxWidth": "100%"});\n", + " var popup_f465265286b8d7c4fe9e3dd9065853a0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e9695599e06ab1d9e87426accae94214 = $(`<div id="html_e9695599e06ab1d9e87426accae94214" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_ebc9b37f501275936c0953a9e9c7f17d.setContent(html_e9695599e06ab1d9e87426accae94214);\n", + " var html_92bb9f44a50eecd7c39098fda3f98055 = $(`<div id="html_92bb9f44a50eecd7c39098fda3f98055" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_f465265286b8d7c4fe9e3dd9065853a0.setContent(html_92bb9f44a50eecd7c39098fda3f98055);\n", " \n", "\n", - " circle_marker_4a564a45b6359d67e0d6256e19034e98.bindPopup(popup_ebc9b37f501275936c0953a9e9c7f17d)\n", + " circle_marker_2e4c409f1675e9602804038601200b2c.bindPopup(popup_f465265286b8d7c4fe9e3dd9065853a0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_3d6eae512f50ae62557260f0da039f8c = L.circleMarker(\n", + " var circle_marker_ca5495d34d5264399b65b81720390a81 = L.circleMarker(\n", " [37.751786210327225, -122.41401197674212],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_6d18693695d76a12ff3ab5187f9d51c0 = L.popup({"maxWidth": "100%"});\n", + " var popup_0a25b5b4e79867087a84ddb5b29e463f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_790657e98a0f5ca7f221da81b8438bb4 = $(`<div id="html_790657e98a0f5ca7f221da81b8438bb4" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_6d18693695d76a12ff3ab5187f9d51c0.setContent(html_790657e98a0f5ca7f221da81b8438bb4);\n", + " var html_d98ee8eb3f0b759b6f1c09382a8c5e7d = $(`<div id="html_d98ee8eb3f0b759b6f1c09382a8c5e7d" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_0a25b5b4e79867087a84ddb5b29e463f.setContent(html_d98ee8eb3f0b759b6f1c09382a8c5e7d);\n", " \n", "\n", - " circle_marker_3d6eae512f50ae62557260f0da039f8c.bindPopup(popup_6d18693695d76a12ff3ab5187f9d51c0)\n", + " circle_marker_ca5495d34d5264399b65b81720390a81.bindPopup(popup_0a25b5b4e79867087a84ddb5b29e463f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_473d0f1554c9fa8e1185dff15f894f61 = L.circleMarker(\n", + " var circle_marker_5df19144eb9b0d8c818657117700aaf4 = L.circleMarker(\n", " [37.73969735334643, -122.41382634618964],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_e8330a4612d04784d87b831eb81bcc06 = L.popup({"maxWidth": "100%"});\n", + " var popup_9eae160ab520577291981d92a302dd48 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_069ce6a3544701bdae1f2ca6eeb0edb0 = $(`<div id="html_069ce6a3544701bdae1f2ca6eeb0edb0" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_e8330a4612d04784d87b831eb81bcc06.setContent(html_069ce6a3544701bdae1f2ca6eeb0edb0);\n", + " var html_35b1a9af39a36b6186d941c06730f2d5 = $(`<div id="html_35b1a9af39a36b6186d941c06730f2d5" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_9eae160ab520577291981d92a302dd48.setContent(html_35b1a9af39a36b6186d941c06730f2d5);\n", " \n", "\n", - " circle_marker_473d0f1554c9fa8e1185dff15f894f61.bindPopup(popup_e8330a4612d04784d87b831eb81bcc06)\n", + " circle_marker_5df19144eb9b0d8c818657117700aaf4.bindPopup(popup_9eae160ab520577291981d92a302dd48)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_5e4c1defc0cafd1ce3ff1b76903aa135 = L.circleMarker(\n", + " var circle_marker_2e244e09a62be908cff4f9e158a7af36 = L.circleMarker(\n", " [37.74223349220518, -122.40991900141367],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_566b843364c3244f5945358f2e1777f4 = L.popup({"maxWidth": "100%"});\n", + " var popup_b12314621e53617b42764df48dd7f49a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d75ed7a07053689d434b9deb8f2067d4 = $(`<div id="html_d75ed7a07053689d434b9deb8f2067d4" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_566b843364c3244f5945358f2e1777f4.setContent(html_d75ed7a07053689d434b9deb8f2067d4);\n", + " var html_78c85383b84813afd7a49c850c8cf175 = $(`<div id="html_78c85383b84813afd7a49c850c8cf175" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_b12314621e53617b42764df48dd7f49a.setContent(html_78c85383b84813afd7a49c850c8cf175);\n", " \n", "\n", - " circle_marker_5e4c1defc0cafd1ce3ff1b76903aa135.bindPopup(popup_566b843364c3244f5945358f2e1777f4)\n", + " circle_marker_2e244e09a62be908cff4f9e158a7af36.bindPopup(popup_b12314621e53617b42764df48dd7f49a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0c11694479fd05e984ddda9586dd8526 = L.circleMarker(\n", + " var circle_marker_5933c2c6e5a48a148c16c9b394d535a3 = L.circleMarker(\n", " [37.7387367287149, -122.41840106253402],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_e064c65d86f0cb9173a245e0b6302f88 = L.popup({"maxWidth": "100%"});\n", + " var popup_fc1174792f74b5fdb5480cd3aaa911f3 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2456c661d70e65ad90f0bc64e6079c9f = $(`<div id="html_2456c661d70e65ad90f0bc64e6079c9f" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_e064c65d86f0cb9173a245e0b6302f88.setContent(html_2456c661d70e65ad90f0bc64e6079c9f);\n", + " var html_a26cf0b1f5e7a6bd5099d7157f76dff0 = $(`<div id="html_a26cf0b1f5e7a6bd5099d7157f76dff0" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_fc1174792f74b5fdb5480cd3aaa911f3.setContent(html_a26cf0b1f5e7a6bd5099d7157f76dff0);\n", " \n", "\n", - " circle_marker_0c11694479fd05e984ddda9586dd8526.bindPopup(popup_e064c65d86f0cb9173a245e0b6302f88)\n", + " circle_marker_5933c2c6e5a48a148c16c9b394d535a3.bindPopup(popup_fc1174792f74b5fdb5480cd3aaa911f3)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_876fd5d806e5cd0ae951f415350dabf6 = L.circleMarker(\n", + " var circle_marker_2f2b443bdfa0692f32a062dbf1e8da8c = L.circleMarker(\n", " [37.74026120078767, -122.42276619176752],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_4a382ee1b7733cfb32a03734b62eb3c0 = L.popup({"maxWidth": "100%"});\n", + " var popup_0e808622707dadb9966ffa0d02ed7406 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_65c02ffc692d5dd815d95c36a3903295 = $(`<div id="html_65c02ffc692d5dd815d95c36a3903295" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_4a382ee1b7733cfb32a03734b62eb3c0.setContent(html_65c02ffc692d5dd815d95c36a3903295);\n", + " var html_45ac3059a290024e61467a1fa107555e = $(`<div id="html_45ac3059a290024e61467a1fa107555e" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_0e808622707dadb9966ffa0d02ed7406.setContent(html_45ac3059a290024e61467a1fa107555e);\n", " \n", "\n", - " circle_marker_876fd5d806e5cd0ae951f415350dabf6.bindPopup(popup_4a382ee1b7733cfb32a03734b62eb3c0)\n", + " circle_marker_2f2b443bdfa0692f32a062dbf1e8da8c.bindPopup(popup_0e808622707dadb9966ffa0d02ed7406)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_3cbd04326f06c58f24c569e2dbcd3acf = L.circleMarker(\n", + " var circle_marker_fdabb79d3f62c6206400f79edca9f6d3 = L.circleMarker(\n", " [37.73770106674906, -122.41892417399505],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_ad49fa29060eb0414ec0b13750c1682f = L.popup({"maxWidth": "100%"});\n", + " var popup_146f061547a1790d20c60aaa51f6f172 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_8c7b4ff37d6ca81a8e033f8ac99664b9 = $(`<div id="html_8c7b4ff37d6ca81a8e033f8ac99664b9" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_ad49fa29060eb0414ec0b13750c1682f.setContent(html_8c7b4ff37d6ca81a8e033f8ac99664b9);\n", + " var html_44af5fb2a8aafde34a4ed0828f996035 = $(`<div id="html_44af5fb2a8aafde34a4ed0828f996035" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_146f061547a1790d20c60aaa51f6f172.setContent(html_44af5fb2a8aafde34a4ed0828f996035);\n", " \n", "\n", - " circle_marker_3cbd04326f06c58f24c569e2dbcd3acf.bindPopup(popup_ad49fa29060eb0414ec0b13750c1682f)\n", + " circle_marker_fdabb79d3f62c6206400f79edca9f6d3.bindPopup(popup_146f061547a1790d20c60aaa51f6f172)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c0dc048c1854eca5a8c761067511763c = L.circleMarker(\n", + " var circle_marker_a687d042e61700caa88362b9daa3b950 = L.circleMarker(\n", " [37.740568264758494, -122.41163237344158],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_96527d6c621893848f53b69f0c967262 = L.popup({"maxWidth": "100%"});\n", + " var popup_3d13a945b721d4a1afad6b81e5f9df3c = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_98cfd11dcb3a0105c4c2e2936d555d1c = $(`<div id="html_98cfd11dcb3a0105c4c2e2936d555d1c" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_96527d6c621893848f53b69f0c967262.setContent(html_98cfd11dcb3a0105c4c2e2936d555d1c);\n", + " var html_b4cd7783ef56d755fdffe18cd962cf88 = $(`<div id="html_b4cd7783ef56d755fdffe18cd962cf88" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_3d13a945b721d4a1afad6b81e5f9df3c.setContent(html_b4cd7783ef56d755fdffe18cd962cf88);\n", " \n", "\n", - " circle_marker_c0dc048c1854eca5a8c761067511763c.bindPopup(popup_96527d6c621893848f53b69f0c967262)\n", + " circle_marker_a687d042e61700caa88362b9daa3b950.bindPopup(popup_3d13a945b721d4a1afad6b81e5f9df3c)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d0934409da43e04f0f80322511667a0d = L.circleMarker(\n", + " var circle_marker_8072688512326ca5f0ce624314ba54c3 = L.circleMarker(\n", " [37.744682871447594, -122.42039964169358],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_728e076b1cb69056dcf45c81b0d11332 = L.popup({"maxWidth": "100%"});\n", + " var popup_55cb75a3623af5c8622959a461a6f08f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_02f67d310e0e2770b9dccc8a7e476815 = $(`<div id="html_02f67d310e0e2770b9dccc8a7e476815" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_728e076b1cb69056dcf45c81b0d11332.setContent(html_02f67d310e0e2770b9dccc8a7e476815);\n", + " var html_182fdcaf961d9d369506205f87176019 = $(`<div id="html_182fdcaf961d9d369506205f87176019" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_55cb75a3623af5c8622959a461a6f08f.setContent(html_182fdcaf961d9d369506205f87176019);\n", " \n", "\n", - " circle_marker_d0934409da43e04f0f80322511667a0d.bindPopup(popup_728e076b1cb69056dcf45c81b0d11332)\n", + " circle_marker_8072688512326ca5f0ce624314ba54c3.bindPopup(popup_55cb75a3623af5c8622959a461a6f08f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b9331b36a6e0c9515c1221763859c320 = L.circleMarker(\n", + " var circle_marker_7db53b88a5aa1e257780c4b99f7f5bba = L.circleMarker(\n", " [37.738930706925785, -122.41100854960864],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_0d32b049a6a3851c417187101c50861e = L.popup({"maxWidth": "100%"});\n", + " var popup_627470c40c588ec1a186baf6e9a37c6f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_16a3a01a0a2588928238cc4e23476cb5 = $(`<div id="html_16a3a01a0a2588928238cc4e23476cb5" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_0d32b049a6a3851c417187101c50861e.setContent(html_16a3a01a0a2588928238cc4e23476cb5);\n", + " var html_2532a609c9f6ea0bddc3c4e6b78bb93e = $(`<div id="html_2532a609c9f6ea0bddc3c4e6b78bb93e" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_627470c40c588ec1a186baf6e9a37c6f.setContent(html_2532a609c9f6ea0bddc3c4e6b78bb93e);\n", " \n", "\n", - " circle_marker_b9331b36a6e0c9515c1221763859c320.bindPopup(popup_0d32b049a6a3851c417187101c50861e)\n", + " circle_marker_7db53b88a5aa1e257780c4b99f7f5bba.bindPopup(popup_627470c40c588ec1a186baf6e9a37c6f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_151a41252a6689bfcc52cb6b39a54d7f = L.circleMarker(\n", + " var circle_marker_4d0e7ed403d36debe274fe91990c947f = L.circleMarker(\n", " [37.73885550860088, -122.42208826738184],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_ffd7ceef951572d5230761bc1fa967a3 = L.popup({"maxWidth": "100%"});\n", + " var popup_2fce70f3fecce9c3317742a95299cb6b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_61561aa74bbd0c45b51ce3f7a881ba1f = $(`<div id="html_61561aa74bbd0c45b51ce3f7a881ba1f" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_ffd7ceef951572d5230761bc1fa967a3.setContent(html_61561aa74bbd0c45b51ce3f7a881ba1f);\n", + " var html_2b5bfa333a005a4cfba4d4f84c5e6408 = $(`<div id="html_2b5bfa333a005a4cfba4d4f84c5e6408" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_2fce70f3fecce9c3317742a95299cb6b.setContent(html_2b5bfa333a005a4cfba4d4f84c5e6408);\n", " \n", "\n", - " circle_marker_151a41252a6689bfcc52cb6b39a54d7f.bindPopup(popup_ffd7ceef951572d5230761bc1fa967a3)\n", + " circle_marker_4d0e7ed403d36debe274fe91990c947f.bindPopup(popup_2fce70f3fecce9c3317742a95299cb6b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0adbb558612006f188c0aed8317ff5fa = L.circleMarker(\n", + " var circle_marker_b11e4cad842304cf503f7205cc8448a1 = L.circleMarker(\n", " [37.7460946279338, -122.42327589475202],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_d550835a18d071778e9ea6c9cc8c4f83 = L.popup({"maxWidth": "100%"});\n", + " var popup_2a940df6037eb9a64a6e6a1ae4de4e57 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_333e66d0d5a316a90891d2f181e72731 = $(`<div id="html_333e66d0d5a316a90891d2f181e72731" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_d550835a18d071778e9ea6c9cc8c4f83.setContent(html_333e66d0d5a316a90891d2f181e72731);\n", + " var html_550077ce3d7744c5c6feadd75af9c838 = $(`<div id="html_550077ce3d7744c5c6feadd75af9c838" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_2a940df6037eb9a64a6e6a1ae4de4e57.setContent(html_550077ce3d7744c5c6feadd75af9c838);\n", " \n", "\n", - " circle_marker_0adbb558612006f188c0aed8317ff5fa.bindPopup(popup_d550835a18d071778e9ea6c9cc8c4f83)\n", + " circle_marker_b11e4cad842304cf503f7205cc8448a1.bindPopup(popup_2a940df6037eb9a64a6e6a1ae4de4e57)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4cb6f65cc7ee31ae91799be34e399e60 = L.circleMarker(\n", + " var circle_marker_445d03e76b41b66388ef66ac33cea7f7 = L.circleMarker(\n", " [37.74742653113364, -122.41901571198258],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_75734000dd79d5d58cf003ae055e0d8f = L.popup({"maxWidth": "100%"});\n", + " var popup_43d1e94dfabf1e8da47475c0907f079a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_4d84c7e6fe139e1306795c0afe7f875a = $(`<div id="html_4d84c7e6fe139e1306795c0afe7f875a" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_75734000dd79d5d58cf003ae055e0d8f.setContent(html_4d84c7e6fe139e1306795c0afe7f875a);\n", + " var html_b96eb570dffb797538c98243aaa958e7 = $(`<div id="html_b96eb570dffb797538c98243aaa958e7" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_43d1e94dfabf1e8da47475c0907f079a.setContent(html_b96eb570dffb797538c98243aaa958e7);\n", " \n", "\n", - " circle_marker_4cb6f65cc7ee31ae91799be34e399e60.bindPopup(popup_75734000dd79d5d58cf003ae055e0d8f)\n", + " circle_marker_445d03e76b41b66388ef66ac33cea7f7.bindPopup(popup_43d1e94dfabf1e8da47475c0907f079a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_15414f666784dc36bba524db987e7bba = L.circleMarker(\n", + " var circle_marker_afe78fcbed199c29a731c19061f02f44 = L.circleMarker(\n", " [37.73607306850611, -122.41535585953757],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_157627378c4bc5e9b801eb7bfc391aab = L.popup({"maxWidth": "100%"});\n", + " var popup_7be79c5a402fbc21aed91f9616fd4d91 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_83c698f601da021b955b53ba844a00c7 = $(`<div id="html_83c698f601da021b955b53ba844a00c7" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_157627378c4bc5e9b801eb7bfc391aab.setContent(html_83c698f601da021b955b53ba844a00c7);\n", + " var html_0bc4e0a53832287cc26d4557b48f64ff = $(`<div id="html_0bc4e0a53832287cc26d4557b48f64ff" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_7be79c5a402fbc21aed91f9616fd4d91.setContent(html_0bc4e0a53832287cc26d4557b48f64ff);\n", " \n", "\n", - " circle_marker_15414f666784dc36bba524db987e7bba.bindPopup(popup_157627378c4bc5e9b801eb7bfc391aab)\n", + " circle_marker_afe78fcbed199c29a731c19061f02f44.bindPopup(popup_7be79c5a402fbc21aed91f9616fd4d91)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_76aecdaf24efbb43eac84d3e9e65af76 = L.circleMarker(\n", + " var circle_marker_884717a85e43fc7b1ac708eb7635ae9b = L.circleMarker(\n", " [37.74511425270174, -122.41025793398745],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_e72ebd00b12893afb1d5c0ffce26d61a = L.popup({"maxWidth": "100%"});\n", + " var popup_4d34b83d2bf75c5e92e5bca38fbfade1 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_87beb7f72ea2b58bfc285e4388e2df68 = $(`<div id="html_87beb7f72ea2b58bfc285e4388e2df68" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_e72ebd00b12893afb1d5c0ffce26d61a.setContent(html_87beb7f72ea2b58bfc285e4388e2df68);\n", + " var html_590f731c52741dbaffd815c98743a788 = $(`<div id="html_590f731c52741dbaffd815c98743a788" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_4d34b83d2bf75c5e92e5bca38fbfade1.setContent(html_590f731c52741dbaffd815c98743a788);\n", " \n", "\n", - " circle_marker_76aecdaf24efbb43eac84d3e9e65af76.bindPopup(popup_e72ebd00b12893afb1d5c0ffce26d61a)\n", + " circle_marker_884717a85e43fc7b1ac708eb7635ae9b.bindPopup(popup_4d34b83d2bf75c5e92e5bca38fbfade1)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_6ccb9f9a5e48e5669ceecef49aa6ae75 = L.circleMarker(\n", + " var circle_marker_9b86d1e20bb6e5754e7fb98efa55147e = L.circleMarker(\n", " [37.73782696783066, -122.41412809295414],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_2cd1a596f33ee2b2876d01d504fe3439 = L.popup({"maxWidth": "100%"});\n", + " var popup_5858b0a442f258c841bcba4b89f4d392 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f04860cd7eec002344eed60e3104b5b1 = $(`<div id="html_f04860cd7eec002344eed60e3104b5b1" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_2cd1a596f33ee2b2876d01d504fe3439.setContent(html_f04860cd7eec002344eed60e3104b5b1);\n", + " var html_49f2e55321783e59f10167d6944b78c9 = $(`<div id="html_49f2e55321783e59f10167d6944b78c9" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_5858b0a442f258c841bcba4b89f4d392.setContent(html_49f2e55321783e59f10167d6944b78c9);\n", " \n", "\n", - " circle_marker_6ccb9f9a5e48e5669ceecef49aa6ae75.bindPopup(popup_2cd1a596f33ee2b2876d01d504fe3439)\n", + " circle_marker_9b86d1e20bb6e5754e7fb98efa55147e.bindPopup(popup_5858b0a442f258c841bcba4b89f4d392)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_919845df815cef87b4a84ab1e55782c5 = L.circleMarker(\n", + " var circle_marker_8a123391a489b7ee45b9b05b9c573201 = L.circleMarker(\n", " [37.748264951499664, -122.42487627066222],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_8ae892e9fd251c0075d82942f00f16b0 = L.popup({"maxWidth": "100%"});\n", + " var popup_af6fe357e0d4d0d1951b624a443aa2a4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_b3ffdaf5e3482f02a77aab3bd52162fd = $(`<div id="html_b3ffdaf5e3482f02a77aab3bd52162fd" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_8ae892e9fd251c0075d82942f00f16b0.setContent(html_b3ffdaf5e3482f02a77aab3bd52162fd);\n", + " var html_36be56e93b52f1956fb1c455d61231c3 = $(`<div id="html_36be56e93b52f1956fb1c455d61231c3" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_af6fe357e0d4d0d1951b624a443aa2a4.setContent(html_36be56e93b52f1956fb1c455d61231c3);\n", " \n", "\n", - " circle_marker_919845df815cef87b4a84ab1e55782c5.bindPopup(popup_8ae892e9fd251c0075d82942f00f16b0)\n", + " circle_marker_8a123391a489b7ee45b9b05b9c573201.bindPopup(popup_af6fe357e0d4d0d1951b624a443aa2a4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bb3a68e04a62f84383dcacc93713de38 = L.circleMarker(\n", + " var circle_marker_47eb7733e9ee130dfda71c9cf01f6b8c = L.circleMarker(\n", " [37.736623528205754, -122.41970410021572],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_acdadce4d54397e41fdabd89e0b50223 = L.popup({"maxWidth": "100%"});\n", + " var popup_66c81b073ad819650073f3074900501d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_95055f53d8f79bd1a1bc77f01911cbf3 = $(`<div id="html_95055f53d8f79bd1a1bc77f01911cbf3" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_acdadce4d54397e41fdabd89e0b50223.setContent(html_95055f53d8f79bd1a1bc77f01911cbf3);\n", + " var html_630d6b437a50fc4c0efed6fcd256a259 = $(`<div id="html_630d6b437a50fc4c0efed6fcd256a259" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_66c81b073ad819650073f3074900501d.setContent(html_630d6b437a50fc4c0efed6fcd256a259);\n", " \n", "\n", - " circle_marker_bb3a68e04a62f84383dcacc93713de38.bindPopup(popup_acdadce4d54397e41fdabd89e0b50223)\n", + " circle_marker_47eb7733e9ee130dfda71c9cf01f6b8c.bindPopup(popup_66c81b073ad819650073f3074900501d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_faab1886f08cfca6daa1214f306ad003 = L.circleMarker(\n", + " var circle_marker_efbf3901e036c93aeb9d393edb1ff76a = L.circleMarker(\n", " [37.73623856050469, -122.41915845180576],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_ef545aca2c574fe920b7cb0f2cf211d3 = L.popup({"maxWidth": "100%"});\n", + " var popup_6c496de021da9fefd52e72bc8caadd3c = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_3858e271991d1959039914c132e8ce8e = $(`<div id="html_3858e271991d1959039914c132e8ce8e" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_ef545aca2c574fe920b7cb0f2cf211d3.setContent(html_3858e271991d1959039914c132e8ce8e);\n", + " var html_0bd6314894e84faeada0733c28c5f005 = $(`<div id="html_0bd6314894e84faeada0733c28c5f005" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_6c496de021da9fefd52e72bc8caadd3c.setContent(html_0bd6314894e84faeada0733c28c5f005);\n", " \n", "\n", - " circle_marker_faab1886f08cfca6daa1214f306ad003.bindPopup(popup_ef545aca2c574fe920b7cb0f2cf211d3)\n", + " circle_marker_efbf3901e036c93aeb9d393edb1ff76a.bindPopup(popup_6c496de021da9fefd52e72bc8caadd3c)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ade16af5585fe2b81729285279a9ffd9 = L.circleMarker(\n", + " var circle_marker_3c8df8d251dce239a8af662fd0882983 = L.circleMarker(\n", " [37.73923240960833, -122.41551073208204],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_97ca44a47146b46eb8661a1f459d0846 = L.popup({"maxWidth": "100%"});\n", + " var popup_9b67d96bca94885637e4e4fd43dcefb0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_fc5e56e038bd88332f97c464cc5093a4 = $(`<div id="html_fc5e56e038bd88332f97c464cc5093a4" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_97ca44a47146b46eb8661a1f459d0846.setContent(html_fc5e56e038bd88332f97c464cc5093a4);\n", + " var html_c133688c1f4c1cf5decbd8f3852758b3 = $(`<div id="html_c133688c1f4c1cf5decbd8f3852758b3" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_9b67d96bca94885637e4e4fd43dcefb0.setContent(html_c133688c1f4c1cf5decbd8f3852758b3);\n", " \n", "\n", - " circle_marker_ade16af5585fe2b81729285279a9ffd9.bindPopup(popup_97ca44a47146b46eb8661a1f459d0846)\n", + " circle_marker_3c8df8d251dce239a8af662fd0882983.bindPopup(popup_9b67d96bca94885637e4e4fd43dcefb0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_dadd79aee80e98ce1a92af197f524b25 = L.circleMarker(\n", + " var circle_marker_e36f13d1bd11d553dda5c26e36d3611d = L.circleMarker(\n", " [37.73432756040431, -122.42006414249477],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_05ed94d114d7d13c69cf6329d4cb37c9 = L.popup({"maxWidth": "100%"});\n", + " var popup_ae3927c5904ea595fb5c7fbf2de1de55 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_bed8d5f49c213e77b56d29b6157e07af = $(`<div id="html_bed8d5f49c213e77b56d29b6157e07af" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_05ed94d114d7d13c69cf6329d4cb37c9.setContent(html_bed8d5f49c213e77b56d29b6157e07af);\n", + " var html_849edf6e18c9673dcc0ea8123bb49527 = $(`<div id="html_849edf6e18c9673dcc0ea8123bb49527" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_ae3927c5904ea595fb5c7fbf2de1de55.setContent(html_849edf6e18c9673dcc0ea8123bb49527);\n", " \n", "\n", - " circle_marker_dadd79aee80e98ce1a92af197f524b25.bindPopup(popup_05ed94d114d7d13c69cf6329d4cb37c9)\n", + " circle_marker_e36f13d1bd11d553dda5c26e36d3611d.bindPopup(popup_ae3927c5904ea595fb5c7fbf2de1de55)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e551e82b2e51d22dc496ce38bbdfff0b = L.circleMarker(\n", + " var circle_marker_59326f327a8efed35169b44852751521 = L.circleMarker(\n", " [37.73950355490107, -122.41817054462335],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_27b625008965a94dfb0e50150c65e4ec = L.popup({"maxWidth": "100%"});\n", + " var popup_967073476964b814f605917ab7a96eb8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_79f5e5a2f512e64f52c0bf6036da5bd7 = $(`<div id="html_79f5e5a2f512e64f52c0bf6036da5bd7" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_27b625008965a94dfb0e50150c65e4ec.setContent(html_79f5e5a2f512e64f52c0bf6036da5bd7);\n", + " var html_d7d3bd9bd6180287456dbb4eacc0fbd0 = $(`<div id="html_d7d3bd9bd6180287456dbb4eacc0fbd0" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_967073476964b814f605917ab7a96eb8.setContent(html_d7d3bd9bd6180287456dbb4eacc0fbd0);\n", " \n", "\n", - " circle_marker_e551e82b2e51d22dc496ce38bbdfff0b.bindPopup(popup_27b625008965a94dfb0e50150c65e4ec)\n", + " circle_marker_59326f327a8efed35169b44852751521.bindPopup(popup_967073476964b814f605917ab7a96eb8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_600caa9396a2211ee43ec6b020127fc5 = L.circleMarker(\n", + " var circle_marker_0951f8fe19416e2933d3f28b39dcd977 = L.circleMarker(\n", " [37.73995333620304, -122.41140314623527],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_42695ceef061799ea3090c0e8865176b = L.popup({"maxWidth": "100%"});\n", + " var popup_c6cd3affc806fa04a5150fae42080b43 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_cf3f0dfd16ff194263955e6957b1bdc1 = $(`<div id="html_cf3f0dfd16ff194263955e6957b1bdc1" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_42695ceef061799ea3090c0e8865176b.setContent(html_cf3f0dfd16ff194263955e6957b1bdc1);\n", + " var html_009c96ba9b4d1778a26b9b4c3980df8c = $(`<div id="html_009c96ba9b4d1778a26b9b4c3980df8c" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_c6cd3affc806fa04a5150fae42080b43.setContent(html_009c96ba9b4d1778a26b9b4c3980df8c);\n", " \n", "\n", - " circle_marker_600caa9396a2211ee43ec6b020127fc5.bindPopup(popup_42695ceef061799ea3090c0e8865176b)\n", + " circle_marker_0951f8fe19416e2933d3f28b39dcd977.bindPopup(popup_c6cd3affc806fa04a5150fae42080b43)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_72e3c60cb5a8374d731b10617ee72aa3 = L.circleMarker(\n", + " var circle_marker_4b0510de81b68b307c8305a4050e3665 = L.circleMarker(\n", " [37.750638766365256, -122.41783069338953],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_fa4c078f604a4143a1d43d25234e4c7b = L.popup({"maxWidth": "100%"});\n", + " var popup_06c9ebc3c496153203f1d1881b916faa = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_30c2a3a2ac8df81f98dc6f6d88959277 = $(`<div id="html_30c2a3a2ac8df81f98dc6f6d88959277" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_fa4c078f604a4143a1d43d25234e4c7b.setContent(html_30c2a3a2ac8df81f98dc6f6d88959277);\n", + " var html_83f450b610a912c9a58264b13a49b48e = $(`<div id="html_83f450b610a912c9a58264b13a49b48e" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_06c9ebc3c496153203f1d1881b916faa.setContent(html_83f450b610a912c9a58264b13a49b48e);\n", " \n", "\n", - " circle_marker_72e3c60cb5a8374d731b10617ee72aa3.bindPopup(popup_fa4c078f604a4143a1d43d25234e4c7b)\n", + " circle_marker_4b0510de81b68b307c8305a4050e3665.bindPopup(popup_06c9ebc3c496153203f1d1881b916faa)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8cc8c605be2ee8fb2b61c874e215d116 = L.circleMarker(\n", + " var circle_marker_427d31a78db0c5df30e93c49d9cdcd55 = L.circleMarker(\n", " [37.73605302291012, -122.42166950005372],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_085db9388113fa1b29a063c830292281 = L.popup({"maxWidth": "100%"});\n", + " var popup_11958e862134d51a6736cdc3a523e0d6 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e994fde140bf54d8443caf6332741eb6 = $(`<div id="html_e994fde140bf54d8443caf6332741eb6" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_085db9388113fa1b29a063c830292281.setContent(html_e994fde140bf54d8443caf6332741eb6);\n", + " var html_6d690351cb5fa9f58a5e0f33f30997f9 = $(`<div id="html_6d690351cb5fa9f58a5e0f33f30997f9" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_11958e862134d51a6736cdc3a523e0d6.setContent(html_6d690351cb5fa9f58a5e0f33f30997f9);\n", " \n", "\n", - " circle_marker_8cc8c605be2ee8fb2b61c874e215d116.bindPopup(popup_085db9388113fa1b29a063c830292281)\n", + " circle_marker_427d31a78db0c5df30e93c49d9cdcd55.bindPopup(popup_11958e862134d51a6736cdc3a523e0d6)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_9bbfaaeced635811fd23839b53fa52d0 = L.circleMarker(\n", + " var circle_marker_f5a4083d40e01765d78e9b4b2e28d7af = L.circleMarker(\n", " [37.74717190213178, -122.42187930857803],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_04b0ef7ef18041d81bbe1264b61ed0ea = L.popup({"maxWidth": "100%"});\n", + " var popup_8e4c85618f2e2e9319bc9b0cc66d2d6a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a6b58447c887b3e60060836f3435eb05 = $(`<div id="html_a6b58447c887b3e60060836f3435eb05" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_04b0ef7ef18041d81bbe1264b61ed0ea.setContent(html_a6b58447c887b3e60060836f3435eb05);\n", + " var html_6d41fb4d3c82dafe945f67b46863ce1a = $(`<div id="html_6d41fb4d3c82dafe945f67b46863ce1a" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_8e4c85618f2e2e9319bc9b0cc66d2d6a.setContent(html_6d41fb4d3c82dafe945f67b46863ce1a);\n", " \n", "\n", - " circle_marker_9bbfaaeced635811fd23839b53fa52d0.bindPopup(popup_04b0ef7ef18041d81bbe1264b61ed0ea)\n", + " circle_marker_f5a4083d40e01765d78e9b4b2e28d7af.bindPopup(popup_8e4c85618f2e2e9319bc9b0cc66d2d6a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_cdd5a48544a4b2e9ca17dc0ffb4971b4 = L.circleMarker(\n", + " var circle_marker_a56a4fdcc045bfc79d7eca9ff92458d9 = L.circleMarker(\n", " [37.74456173838566, -122.42133239235675],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_9dde0d3b9a318527f4001dad547a33f2 = L.popup({"maxWidth": "100%"});\n", + " var popup_c4f19289b3f680e1f633fe25bb136c28 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_67e66485220b7ac06f3fe7f94a973e08 = $(`<div id="html_67e66485220b7ac06f3fe7f94a973e08" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_9dde0d3b9a318527f4001dad547a33f2.setContent(html_67e66485220b7ac06f3fe7f94a973e08);\n", + " var html_a589a1c75e7cc6e68085c0b6a4241587 = $(`<div id="html_a589a1c75e7cc6e68085c0b6a4241587" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_c4f19289b3f680e1f633fe25bb136c28.setContent(html_a589a1c75e7cc6e68085c0b6a4241587);\n", " \n", "\n", - " circle_marker_cdd5a48544a4b2e9ca17dc0ffb4971b4.bindPopup(popup_9dde0d3b9a318527f4001dad547a33f2)\n", + " circle_marker_a56a4fdcc045bfc79d7eca9ff92458d9.bindPopup(popup_c4f19289b3f680e1f633fe25bb136c28)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_5e4c57ad1e39b55aec521c3c7af27715 = L.circleMarker(\n", + " var circle_marker_f2857445c75483bc8a869056c4bb98cb = L.circleMarker(\n", " [37.74435235234791, -122.42194819694559],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_c225266628506ff48f58c56c3075a819 = L.popup({"maxWidth": "100%"});\n", + " var popup_a19f4f7a4d6fe849915ef935c82b480f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f4475e241d0c4d8639b0212e7474c976 = $(`<div id="html_f4475e241d0c4d8639b0212e7474c976" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_c225266628506ff48f58c56c3075a819.setContent(html_f4475e241d0c4d8639b0212e7474c976);\n", + " var html_b2884ca1e99c37d70f510d7d1c38702f = $(`<div id="html_b2884ca1e99c37d70f510d7d1c38702f" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_a19f4f7a4d6fe849915ef935c82b480f.setContent(html_b2884ca1e99c37d70f510d7d1c38702f);\n", " \n", "\n", - " circle_marker_5e4c57ad1e39b55aec521c3c7af27715.bindPopup(popup_c225266628506ff48f58c56c3075a819)\n", + " circle_marker_f2857445c75483bc8a869056c4bb98cb.bindPopup(popup_a19f4f7a4d6fe849915ef935c82b480f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f921b918acdfb541b38ef2a5d78ea0ec = L.circleMarker(\n", + " var circle_marker_dde6e095a1e1fe3f6898b82d76b91e95 = L.circleMarker(\n", " [37.740893604514234, -122.41356130372293],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_23b9d6802613e1701ca563eebb83fa94 = L.popup({"maxWidth": "100%"});\n", + " var popup_97f4eee0884c1c2e0a9b0a044f4656d3 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_29f008d6d6d73a90a012e4bc52981976 = $(`<div id="html_29f008d6d6d73a90a012e4bc52981976" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_23b9d6802613e1701ca563eebb83fa94.setContent(html_29f008d6d6d73a90a012e4bc52981976);\n", + " var html_0fa010ae4716ebc4fe0486241eb3108f = $(`<div id="html_0fa010ae4716ebc4fe0486241eb3108f" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_97f4eee0884c1c2e0a9b0a044f4656d3.setContent(html_0fa010ae4716ebc4fe0486241eb3108f);\n", " \n", "\n", - " circle_marker_f921b918acdfb541b38ef2a5d78ea0ec.bindPopup(popup_23b9d6802613e1701ca563eebb83fa94)\n", + " circle_marker_dde6e095a1e1fe3f6898b82d76b91e95.bindPopup(popup_97f4eee0884c1c2e0a9b0a044f4656d3)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d8b9cb0360164ac020f3407acf660062 = L.circleMarker(\n", + " var circle_marker_eb1917bc6da9096f27531760b3860a33 = L.circleMarker(\n", " [37.7382987149878, -122.4191004858632],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_d0ab29576242ca1e23275146aa364a48 = L.popup({"maxWidth": "100%"});\n", + " var popup_5f3ca091ce6170a58840a6373f54009b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_225c9ca6da8a4fc7a33705518791b850 = $(`<div id="html_225c9ca6da8a4fc7a33705518791b850" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_d0ab29576242ca1e23275146aa364a48.setContent(html_225c9ca6da8a4fc7a33705518791b850);\n", + " var html_c9729c11ba164c4f0a9a1ec6f4f32545 = $(`<div id="html_c9729c11ba164c4f0a9a1ec6f4f32545" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_5f3ca091ce6170a58840a6373f54009b.setContent(html_c9729c11ba164c4f0a9a1ec6f4f32545);\n", " \n", "\n", - " circle_marker_d8b9cb0360164ac020f3407acf660062.bindPopup(popup_d0ab29576242ca1e23275146aa364a48)\n", + " circle_marker_eb1917bc6da9096f27531760b3860a33.bindPopup(popup_5f3ca091ce6170a58840a6373f54009b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e9903973730fb87c488a9ccce30d90cc = L.circleMarker(\n", + " var circle_marker_f630387db44950248d2def945d98a8b2 = L.circleMarker(\n", " [37.742057632289225, -122.41531864893646],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_1cbc6fa806df81f319a44b6e55fd907c = L.popup({"maxWidth": "100%"});\n", + " var popup_96694d597a541c56a62adee262fcfc78 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_3687c15fe34fa6e078925798d4742993 = $(`<div id="html_3687c15fe34fa6e078925798d4742993" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_1cbc6fa806df81f319a44b6e55fd907c.setContent(html_3687c15fe34fa6e078925798d4742993);\n", + " var html_4da3e3cd37183cc326e6f59562e960fd = $(`<div id="html_4da3e3cd37183cc326e6f59562e960fd" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_96694d597a541c56a62adee262fcfc78.setContent(html_4da3e3cd37183cc326e6f59562e960fd);\n", " \n", "\n", - " circle_marker_e9903973730fb87c488a9ccce30d90cc.bindPopup(popup_1cbc6fa806df81f319a44b6e55fd907c)\n", + " circle_marker_f630387db44950248d2def945d98a8b2.bindPopup(popup_96694d597a541c56a62adee262fcfc78)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0317a2a05f994e894281efe30fd37633 = L.circleMarker(\n", + " var circle_marker_8052be04fa5e5eaaf7d1a1024d99d1c4 = L.circleMarker(\n", " [37.74901705715819, -122.41757863525594],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_a554ead04ee925af8ade06ce70f2a159 = L.popup({"maxWidth": "100%"});\n", + " var popup_00080d37a1f298ce64c366422cd45240 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0e289add8a6ae65fd1e618246823c284 = $(`<div id="html_0e289add8a6ae65fd1e618246823c284" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_a554ead04ee925af8ade06ce70f2a159.setContent(html_0e289add8a6ae65fd1e618246823c284);\n", + " var html_5f6c3a31fb39bdf8f7cf1a2f58311579 = $(`<div id="html_5f6c3a31fb39bdf8f7cf1a2f58311579" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_00080d37a1f298ce64c366422cd45240.setContent(html_5f6c3a31fb39bdf8f7cf1a2f58311579);\n", " \n", "\n", - " circle_marker_0317a2a05f994e894281efe30fd37633.bindPopup(popup_a554ead04ee925af8ade06ce70f2a159)\n", + " circle_marker_8052be04fa5e5eaaf7d1a1024d99d1c4.bindPopup(popup_00080d37a1f298ce64c366422cd45240)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f51681627c252d70cc52b653c708971c = L.circleMarker(\n", + " var circle_marker_3d68d56990511f42434ab64a296bbfc4 = L.circleMarker(\n", " [37.73596321664609, -122.42148375412637],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_af5992988aa18370913461e8a2e81597 = L.popup({"maxWidth": "100%"});\n", + " var popup_0b21cd4e2697d46d9abad811e4cec3a6 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_02ce3c84bc3c5384419ef82102e8d821 = $(`<div id="html_02ce3c84bc3c5384419ef82102e8d821" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_af5992988aa18370913461e8a2e81597.setContent(html_02ce3c84bc3c5384419ef82102e8d821);\n", + " var html_bee5533ae2864cece08d27a3acf90473 = $(`<div id="html_bee5533ae2864cece08d27a3acf90473" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_0b21cd4e2697d46d9abad811e4cec3a6.setContent(html_bee5533ae2864cece08d27a3acf90473);\n", " \n", "\n", - " circle_marker_f51681627c252d70cc52b653c708971c.bindPopup(popup_af5992988aa18370913461e8a2e81597)\n", + " circle_marker_3d68d56990511f42434ab64a296bbfc4.bindPopup(popup_0b21cd4e2697d46d9abad811e4cec3a6)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e82230b4a281ebcaaaf28dc3a98f1ad6 = L.circleMarker(\n", + " var circle_marker_932c9345f451ebbf1784b3a4463f76d6 = L.circleMarker(\n", " [37.747198302368524, -122.41468049513983],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_76ab1e8d3ac15a55f020dc458efac1fd = L.popup({"maxWidth": "100%"});\n", + " var popup_d635410d5e1e7dd7f72b3f2f2cf23dd0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_61d49d66b65298644b857ee639c0e526 = $(`<div id="html_61d49d66b65298644b857ee639c0e526" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_76ab1e8d3ac15a55f020dc458efac1fd.setContent(html_61d49d66b65298644b857ee639c0e526);\n", + " var html_672d94221325fdc03fbee255cb5dbd40 = $(`<div id="html_672d94221325fdc03fbee255cb5dbd40" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_d635410d5e1e7dd7f72b3f2f2cf23dd0.setContent(html_672d94221325fdc03fbee255cb5dbd40);\n", " \n", "\n", - " circle_marker_e82230b4a281ebcaaaf28dc3a98f1ad6.bindPopup(popup_76ab1e8d3ac15a55f020dc458efac1fd)\n", + " circle_marker_932c9345f451ebbf1784b3a4463f76d6.bindPopup(popup_d635410d5e1e7dd7f72b3f2f2cf23dd0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_80dabc7a6c805651c9aa0f00ad1fcdcd = L.circleMarker(\n", + " var circle_marker_a4937c35c477efdba8257911b7717e21 = L.circleMarker(\n", " [37.745215819217684, -122.41007117187876],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_68838d6e7c35a59ba056c027ce7aa504 = L.popup({"maxWidth": "100%"});\n", + " var popup_41e033763ececbf4921eeab933fe90bf = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_895f5063165b9d499ae4c6a845d14fb9 = $(`<div id="html_895f5063165b9d499ae4c6a845d14fb9" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_68838d6e7c35a59ba056c027ce7aa504.setContent(html_895f5063165b9d499ae4c6a845d14fb9);\n", + " var html_b73d4f4dbf4bfbe25630cabe40f9330c = $(`<div id="html_b73d4f4dbf4bfbe25630cabe40f9330c" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_41e033763ececbf4921eeab933fe90bf.setContent(html_b73d4f4dbf4bfbe25630cabe40f9330c);\n", " \n", "\n", - " circle_marker_80dabc7a6c805651c9aa0f00ad1fcdcd.bindPopup(popup_68838d6e7c35a59ba056c027ce7aa504)\n", + " circle_marker_a4937c35c477efdba8257911b7717e21.bindPopup(popup_41e033763ececbf4921eeab933fe90bf)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7e8f98040146a55be11b09dc1ce7511f = L.circleMarker(\n", + " var circle_marker_5d7d510d1e7e9e4c7ea52bdb375dde8c = L.circleMarker(\n", " [37.742773768312524, -122.41069845878158],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_993d7a22d381a9749881d20bf28c112b = L.popup({"maxWidth": "100%"});\n", + " var popup_85715fbfd4ae180b71b7ff0bf1d4e1be = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_3a5bdf453b51b63e32600c86434048fc = $(`<div id="html_3a5bdf453b51b63e32600c86434048fc" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_993d7a22d381a9749881d20bf28c112b.setContent(html_3a5bdf453b51b63e32600c86434048fc);\n", + " var html_958f5a03ee06c6db87192cae6850c8d1 = $(`<div id="html_958f5a03ee06c6db87192cae6850c8d1" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_85715fbfd4ae180b71b7ff0bf1d4e1be.setContent(html_958f5a03ee06c6db87192cae6850c8d1);\n", " \n", "\n", - " circle_marker_7e8f98040146a55be11b09dc1ce7511f.bindPopup(popup_993d7a22d381a9749881d20bf28c112b)\n", + " circle_marker_5d7d510d1e7e9e4c7ea52bdb375dde8c.bindPopup(popup_85715fbfd4ae180b71b7ff0bf1d4e1be)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_527d72f20aff6e98a91c515d3c25c89e = L.circleMarker(\n", + " var circle_marker_28a5c1d29533496ebb607219d05dceb3 = L.circleMarker(\n", " [37.737048133592474, -122.42244404189351],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_76078af78633fa8534040c9af7be7711 = L.popup({"maxWidth": "100%"});\n", + " var popup_5a770aa5ce6acd1d427ce18517839a37 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_22c774178f227d103e2ae0a482dca0f5 = $(`<div id="html_22c774178f227d103e2ae0a482dca0f5" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_76078af78633fa8534040c9af7be7711.setContent(html_22c774178f227d103e2ae0a482dca0f5);\n", + " var html_05d23f411fb7416cdde3fef413e8b1ee = $(`<div id="html_05d23f411fb7416cdde3fef413e8b1ee" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_5a770aa5ce6acd1d427ce18517839a37.setContent(html_05d23f411fb7416cdde3fef413e8b1ee);\n", " \n", "\n", - " circle_marker_527d72f20aff6e98a91c515d3c25c89e.bindPopup(popup_76078af78633fa8534040c9af7be7711)\n", + " circle_marker_28a5c1d29533496ebb607219d05dceb3.bindPopup(popup_5a770aa5ce6acd1d427ce18517839a37)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_9ac71aa63cc57ddd9cf2c9bba9c53b66 = L.circleMarker(\n", + " var circle_marker_9c2a4c0f0d3973cb436d308af0232220 = L.circleMarker(\n", " [37.743766497582506, -122.41949619370845],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_e70fc888bafeb0cd205e547bc0d3ce46 = L.popup({"maxWidth": "100%"});\n", + " var popup_5c992bafc0fbc728dffce174d1dab8de = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_5cc94a2988e28e8a9c5ae20a90de2434 = $(`<div id="html_5cc94a2988e28e8a9c5ae20a90de2434" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_e70fc888bafeb0cd205e547bc0d3ce46.setContent(html_5cc94a2988e28e8a9c5ae20a90de2434);\n", + " var html_d77ef8684283d02c5b7e1ed6b6f4d323 = $(`<div id="html_d77ef8684283d02c5b7e1ed6b6f4d323" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_5c992bafc0fbc728dffce174d1dab8de.setContent(html_d77ef8684283d02c5b7e1ed6b6f4d323);\n", " \n", "\n", - " circle_marker_9ac71aa63cc57ddd9cf2c9bba9c53b66.bindPopup(popup_e70fc888bafeb0cd205e547bc0d3ce46)\n", + " circle_marker_9c2a4c0f0d3973cb436d308af0232220.bindPopup(popup_5c992bafc0fbc728dffce174d1dab8de)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ebbdd1cadb6c2a1465b5a0398e9c5531 = L.circleMarker(\n", + " var circle_marker_f4f44308bbc76537246f6c441041fd60 = L.circleMarker(\n", " [37.73952102093955, -122.42022883226554],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_17c11998d64a6ccf2d2a5b0138d84976 = L.popup({"maxWidth": "100%"});\n", + " var popup_f5bd3e110c900fc19a87c5552bc6cdb6 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_69d420420b1336a1b33ef1f8d9faa612 = $(`<div id="html_69d420420b1336a1b33ef1f8d9faa612" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_17c11998d64a6ccf2d2a5b0138d84976.setContent(html_69d420420b1336a1b33ef1f8d9faa612);\n", + " var html_8737ed81bf6b6eda9e8e131db5bba212 = $(`<div id="html_8737ed81bf6b6eda9e8e131db5bba212" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_f5bd3e110c900fc19a87c5552bc6cdb6.setContent(html_8737ed81bf6b6eda9e8e131db5bba212);\n", " \n", "\n", - " circle_marker_ebbdd1cadb6c2a1465b5a0398e9c5531.bindPopup(popup_17c11998d64a6ccf2d2a5b0138d84976)\n", + " circle_marker_f4f44308bbc76537246f6c441041fd60.bindPopup(popup_f5bd3e110c900fc19a87c5552bc6cdb6)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_6b9d56d701587fcc44572358c6b4b1aa = L.circleMarker(\n", + " var circle_marker_93587fd2a1611c787d7604796ba28ecd = L.circleMarker(\n", " [37.740221292002616, -122.42292601164742],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_766f9df311a85d47a77de659d2e53765 = L.popup({"maxWidth": "100%"});\n", + " var popup_fac4706f7274c79bbc32f095756a0fe0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_228c4eefa0bc44c0966115e7eeb7d260 = $(`<div id="html_228c4eefa0bc44c0966115e7eeb7d260" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_766f9df311a85d47a77de659d2e53765.setContent(html_228c4eefa0bc44c0966115e7eeb7d260);\n", + " var html_e08abe396df2a45968875a66a16b167f = $(`<div id="html_e08abe396df2a45968875a66a16b167f" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_fac4706f7274c79bbc32f095756a0fe0.setContent(html_e08abe396df2a45968875a66a16b167f);\n", " \n", "\n", - " circle_marker_6b9d56d701587fcc44572358c6b4b1aa.bindPopup(popup_766f9df311a85d47a77de659d2e53765)\n", + " circle_marker_93587fd2a1611c787d7604796ba28ecd.bindPopup(popup_fac4706f7274c79bbc32f095756a0fe0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_47d1f2e42a3c75b8801c9326da4eb35c = L.circleMarker(\n", + " var circle_marker_829d73acf6d8841d9ac9cb548b9a6147 = L.circleMarker(\n", " [37.73713086318324, -122.41812421353865],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_ea548349cc64fc7abfdf96fd06e9fb8a = L.popup({"maxWidth": "100%"});\n", + " var popup_d07491b52c5a4308c9758b945befb9b0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_b094fc9a23a8a5b487924a08553d1a87 = $(`<div id="html_b094fc9a23a8a5b487924a08553d1a87" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_ea548349cc64fc7abfdf96fd06e9fb8a.setContent(html_b094fc9a23a8a5b487924a08553d1a87);\n", + " var html_cf1ff3dfa7f852d073d855dfba8aa0cf = $(`<div id="html_cf1ff3dfa7f852d073d855dfba8aa0cf" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_d07491b52c5a4308c9758b945befb9b0.setContent(html_cf1ff3dfa7f852d073d855dfba8aa0cf);\n", " \n", "\n", - " circle_marker_47d1f2e42a3c75b8801c9326da4eb35c.bindPopup(popup_ea548349cc64fc7abfdf96fd06e9fb8a)\n", + " circle_marker_829d73acf6d8841d9ac9cb548b9a6147.bindPopup(popup_d07491b52c5a4308c9758b945befb9b0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4c4d5ff9b08288768e0d9201daabff95 = L.circleMarker(\n", + " var circle_marker_5b3a1711f7d2158f65a3ca4e4d40ad39 = L.circleMarker(\n", " [37.7483419775086, -122.41225380452875],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_b24676ebf2bbbd2e8e70298113b62c59 = L.popup({"maxWidth": "100%"});\n", + " var popup_080cae3e5ae5ebbbe88fc54005e1bff1 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_1d12d3562c65170437c023d1ef1693e3 = $(`<div id="html_1d12d3562c65170437c023d1ef1693e3" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_b24676ebf2bbbd2e8e70298113b62c59.setContent(html_1d12d3562c65170437c023d1ef1693e3);\n", + " var html_aa1184b0cbea365f679e9d7ad4de5cb4 = $(`<div id="html_aa1184b0cbea365f679e9d7ad4de5cb4" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_080cae3e5ae5ebbbe88fc54005e1bff1.setContent(html_aa1184b0cbea365f679e9d7ad4de5cb4);\n", " \n", "\n", - " circle_marker_4c4d5ff9b08288768e0d9201daabff95.bindPopup(popup_b24676ebf2bbbd2e8e70298113b62c59)\n", + " circle_marker_5b3a1711f7d2158f65a3ca4e4d40ad39.bindPopup(popup_080cae3e5ae5ebbbe88fc54005e1bff1)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f411c104b0bc029fe02bd0939a77f2d6 = L.circleMarker(\n", + " var circle_marker_1035094a6838fb40f6ac83cd22e1f792 = L.circleMarker(\n", " [37.746074199675945, -122.41535766353438],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_c1e5cd3a806eaa01189c52ed1f8b69a0 = L.popup({"maxWidth": "100%"});\n", + " var popup_6d05fd846ad509a7b67b952376fd1e25 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a1120bab4267a56c2b7cf84305acb240 = $(`<div id="html_a1120bab4267a56c2b7cf84305acb240" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_c1e5cd3a806eaa01189c52ed1f8b69a0.setContent(html_a1120bab4267a56c2b7cf84305acb240);\n", + " var html_e8b6aad8a2ab3e637161dd6eeb1002f4 = $(`<div id="html_e8b6aad8a2ab3e637161dd6eeb1002f4" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_6d05fd846ad509a7b67b952376fd1e25.setContent(html_e8b6aad8a2ab3e637161dd6eeb1002f4);\n", " \n", "\n", - " circle_marker_f411c104b0bc029fe02bd0939a77f2d6.bindPopup(popup_c1e5cd3a806eaa01189c52ed1f8b69a0)\n", + " circle_marker_1035094a6838fb40f6ac83cd22e1f792.bindPopup(popup_6d05fd846ad509a7b67b952376fd1e25)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a0490c1321e44ba653dbc35134c3f219 = L.circleMarker(\n", + " var circle_marker_eb8f225655cc6d487a3fcc540693fb29 = L.circleMarker(\n", " [37.741380940454206, -122.41440239836186],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_752995f28fc5040d27ddf5326c89faac = L.popup({"maxWidth": "100%"});\n", + " var popup_0eae3fce9284db1a5cab32aa9611c065 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_1ea6dfc9358d2bf0471bc8ae1fce8862 = $(`<div id="html_1ea6dfc9358d2bf0471bc8ae1fce8862" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_752995f28fc5040d27ddf5326c89faac.setContent(html_1ea6dfc9358d2bf0471bc8ae1fce8862);\n", + " var html_1379b2478e374fbb987527656fbfb222 = $(`<div id="html_1379b2478e374fbb987527656fbfb222" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_0eae3fce9284db1a5cab32aa9611c065.setContent(html_1379b2478e374fbb987527656fbfb222);\n", " \n", "\n", - " circle_marker_a0490c1321e44ba653dbc35134c3f219.bindPopup(popup_752995f28fc5040d27ddf5326c89faac)\n", + " circle_marker_eb8f225655cc6d487a3fcc540693fb29.bindPopup(popup_0eae3fce9284db1a5cab32aa9611c065)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d50bb60e92e12fc03d48e55e83dd8d9a = L.circleMarker(\n", + " var circle_marker_d7bd5bb2e668b0baf98f60173223694d = L.circleMarker(\n", " [37.74575801806093, -122.4105207768065],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_04fb9e733819351a30b3f4da8ab1eb8a = L.popup({"maxWidth": "100%"});\n", + " var popup_599373011438866cadcdb63752b9bb9d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2c1816dc169bb0a5961a56545d4a12a0 = $(`<div id="html_2c1816dc169bb0a5961a56545d4a12a0" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_04fb9e733819351a30b3f4da8ab1eb8a.setContent(html_2c1816dc169bb0a5961a56545d4a12a0);\n", + " var html_a4cd188c571f22f5d2fbff1401148681 = $(`<div id="html_a4cd188c571f22f5d2fbff1401148681" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_599373011438866cadcdb63752b9bb9d.setContent(html_a4cd188c571f22f5d2fbff1401148681);\n", " \n", "\n", - " circle_marker_d50bb60e92e12fc03d48e55e83dd8d9a.bindPopup(popup_04fb9e733819351a30b3f4da8ab1eb8a)\n", + " circle_marker_d7bd5bb2e668b0baf98f60173223694d.bindPopup(popup_599373011438866cadcdb63752b9bb9d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_9a81aa20006222eaf8dc6a7b41e46c14 = L.circleMarker(\n", + " var circle_marker_0b5115977f60ba145b24e2b4cf3c22bf = L.circleMarker(\n", " [37.74348609136638, -122.42263298457125],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_14e9eccfff285e5d1a866e77574c2a09 = L.popup({"maxWidth": "100%"});\n", + " var popup_f25497f392c9a1cc897b23393bb70884 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_fa941bcda8726354504c5a3e9945415d = $(`<div id="html_fa941bcda8726354504c5a3e9945415d" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_14e9eccfff285e5d1a866e77574c2a09.setContent(html_fa941bcda8726354504c5a3e9945415d);\n", + " var html_8877e41869926f6958100c7fbe59ee4b = $(`<div id="html_8877e41869926f6958100c7fbe59ee4b" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_f25497f392c9a1cc897b23393bb70884.setContent(html_8877e41869926f6958100c7fbe59ee4b);\n", " \n", "\n", - " circle_marker_9a81aa20006222eaf8dc6a7b41e46c14.bindPopup(popup_14e9eccfff285e5d1a866e77574c2a09)\n", + " circle_marker_0b5115977f60ba145b24e2b4cf3c22bf.bindPopup(popup_f25497f392c9a1cc897b23393bb70884)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8b4e1a1cc1539ba3a4261f912dbbaa55 = L.circleMarker(\n", + " var circle_marker_e5a1e6752d396f4f4ae3f49307a30224 = L.circleMarker(\n", " [37.7351770739924, -122.42220382143077],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_286f5cdd8e595a11ebf4dc63fbff100e = L.popup({"maxWidth": "100%"});\n", + " var popup_91e458ccb562cc3f0fcdccd3ddbbdd96 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_868d5d8d5c788836d3207990a19a4bfc = $(`<div id="html_868d5d8d5c788836d3207990a19a4bfc" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_286f5cdd8e595a11ebf4dc63fbff100e.setContent(html_868d5d8d5c788836d3207990a19a4bfc);\n", + " var html_9096cc9f1cc86d7b6b1e452a0fb5c447 = $(`<div id="html_9096cc9f1cc86d7b6b1e452a0fb5c447" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_91e458ccb562cc3f0fcdccd3ddbbdd96.setContent(html_9096cc9f1cc86d7b6b1e452a0fb5c447);\n", " \n", "\n", - " circle_marker_8b4e1a1cc1539ba3a4261f912dbbaa55.bindPopup(popup_286f5cdd8e595a11ebf4dc63fbff100e)\n", + " circle_marker_e5a1e6752d396f4f4ae3f49307a30224.bindPopup(popup_91e458ccb562cc3f0fcdccd3ddbbdd96)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_7d0090c044c25586c5f22c047de5c27d = L.circleMarker(\n", + " var circle_marker_195dd2c53c724f1dabdbf34b4847a8e4 = L.circleMarker(\n", " [37.744531940576856, -122.42161560269948],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_fa9bd6af5eae4ea2bb3d0a29df11adf8 = L.popup({"maxWidth": "100%"});\n", + " var popup_c937b83c647af9cc40e5c4e04b59b14d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_486f79d146529f6a6bd2b1d036d9db44 = $(`<div id="html_486f79d146529f6a6bd2b1d036d9db44" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_fa9bd6af5eae4ea2bb3d0a29df11adf8.setContent(html_486f79d146529f6a6bd2b1d036d9db44);\n", + " var html_d4dd3d5c766a6d52edce118d61ba4a0d = $(`<div id="html_d4dd3d5c766a6d52edce118d61ba4a0d" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_c937b83c647af9cc40e5c4e04b59b14d.setContent(html_d4dd3d5c766a6d52edce118d61ba4a0d);\n", " \n", "\n", - " circle_marker_7d0090c044c25586c5f22c047de5c27d.bindPopup(popup_fa9bd6af5eae4ea2bb3d0a29df11adf8)\n", + " circle_marker_195dd2c53c724f1dabdbf34b4847a8e4.bindPopup(popup_c937b83c647af9cc40e5c4e04b59b14d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_cefc7ce43e424e5c9c1b91042d1b9f8a = L.circleMarker(\n", + " var circle_marker_c87e1e52b023789ba8157b69c4ccb9a2 = L.circleMarker(\n", " [37.73743562493618, -122.42250059810968],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_b27ee903140a52be9fd553ecfc3aad0f = L.popup({"maxWidth": "100%"});\n", + " var popup_c092b56ca18e4d1577ff76ed6daa6309 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f533472b6218b86d85b0edf4ed89bd68 = $(`<div id="html_f533472b6218b86d85b0edf4ed89bd68" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_b27ee903140a52be9fd553ecfc3aad0f.setContent(html_f533472b6218b86d85b0edf4ed89bd68);\n", + " var html_a5adabec1b1c56d67b736ceb920f3921 = $(`<div id="html_a5adabec1b1c56d67b736ceb920f3921" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_c092b56ca18e4d1577ff76ed6daa6309.setContent(html_a5adabec1b1c56d67b736ceb920f3921);\n", " \n", "\n", - " circle_marker_cefc7ce43e424e5c9c1b91042d1b9f8a.bindPopup(popup_b27ee903140a52be9fd553ecfc3aad0f)\n", + " circle_marker_c87e1e52b023789ba8157b69c4ccb9a2.bindPopup(popup_c092b56ca18e4d1577ff76ed6daa6309)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_eb26e7945d9a30ff5a720e97a5c97901 = L.circleMarker(\n", + " var circle_marker_3668285e8fec4065db509b24ed9496af = L.circleMarker(\n", " [37.74197743401586, -122.41709590262614],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_400ce4177a328e7c8ef1602a292fe719 = L.popup({"maxWidth": "100%"});\n", + " var popup_50bbc925bdc4a1077051c00a008e750b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_62d4edf34db8077c90cce361dc9426e4 = $(`<div id="html_62d4edf34db8077c90cce361dc9426e4" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_400ce4177a328e7c8ef1602a292fe719.setContent(html_62d4edf34db8077c90cce361dc9426e4);\n", + " var html_54a0fa129253317abbcdd6ad6d96df74 = $(`<div id="html_54a0fa129253317abbcdd6ad6d96df74" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_50bbc925bdc4a1077051c00a008e750b.setContent(html_54a0fa129253317abbcdd6ad6d96df74);\n", " \n", "\n", - " circle_marker_eb26e7945d9a30ff5a720e97a5c97901.bindPopup(popup_400ce4177a328e7c8ef1602a292fe719)\n", + " circle_marker_3668285e8fec4065db509b24ed9496af.bindPopup(popup_50bbc925bdc4a1077051c00a008e750b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e0619f029cdad01e3c86e78664ded106 = L.circleMarker(\n", + " var circle_marker_ae4cc78c014fc9b8daac381e2bb02e42 = L.circleMarker(\n", " [37.74085356398497, -122.41446908756086],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_c6bba3e901a220b158dd5a4e5ed7101a = L.popup({"maxWidth": "100%"});\n", + " var popup_06241026c7c0eae7ea864f8218f266ac = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_b973499f656b418b98e9e4052394c433 = $(`<div id="html_b973499f656b418b98e9e4052394c433" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_c6bba3e901a220b158dd5a4e5ed7101a.setContent(html_b973499f656b418b98e9e4052394c433);\n", + " var html_5abb7776d3086bb28906b714f6c9e2bc = $(`<div id="html_5abb7776d3086bb28906b714f6c9e2bc" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_06241026c7c0eae7ea864f8218f266ac.setContent(html_5abb7776d3086bb28906b714f6c9e2bc);\n", " \n", "\n", - " circle_marker_e0619f029cdad01e3c86e78664ded106.bindPopup(popup_c6bba3e901a220b158dd5a4e5ed7101a)\n", + " circle_marker_ae4cc78c014fc9b8daac381e2bb02e42.bindPopup(popup_06241026c7c0eae7ea864f8218f266ac)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4e9f5e2b737424dad61f1f062a7af538 = L.circleMarker(\n", + " var circle_marker_03863c14007d718a157ec7f10bdffe5c = L.circleMarker(\n", " [37.745307885159676, -122.41693866931666],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_cff885e6979b266d0f5164c512992510 = L.popup({"maxWidth": "100%"});\n", + " var popup_1f2c04ce9a7dfa9406fb63ca6622ae95 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_bd1d6b9db282f045462f24d7890bddbb = $(`<div id="html_bd1d6b9db282f045462f24d7890bddbb" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_cff885e6979b266d0f5164c512992510.setContent(html_bd1d6b9db282f045462f24d7890bddbb);\n", + " var html_a533e8f27d05bb01ef4c8ea1cc53d2ba = $(`<div id="html_a533e8f27d05bb01ef4c8ea1cc53d2ba" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_1f2c04ce9a7dfa9406fb63ca6622ae95.setContent(html_a533e8f27d05bb01ef4c8ea1cc53d2ba);\n", " \n", "\n", - " circle_marker_4e9f5e2b737424dad61f1f062a7af538.bindPopup(popup_cff885e6979b266d0f5164c512992510)\n", + " circle_marker_03863c14007d718a157ec7f10bdffe5c.bindPopup(popup_1f2c04ce9a7dfa9406fb63ca6622ae95)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_88d1266ba2741113cb5496ef82c68dff = L.circleMarker(\n", + " var circle_marker_534624b098ecc60b665fe47352142a9e = L.circleMarker(\n", " [37.74887491191325, -122.42222954548635],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_84df6d0d3c84486001e22a24493e048c = L.popup({"maxWidth": "100%"});\n", + " var popup_86a3dcab017f87a32012375f8b2280fe = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_3119315cfc7c12c614e11bfdf1b39523 = $(`<div id="html_3119315cfc7c12c614e11bfdf1b39523" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_84df6d0d3c84486001e22a24493e048c.setContent(html_3119315cfc7c12c614e11bfdf1b39523);\n", + " var html_7d94e9d85f05c9f0aba98033e43e8409 = $(`<div id="html_7d94e9d85f05c9f0aba98033e43e8409" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_86a3dcab017f87a32012375f8b2280fe.setContent(html_7d94e9d85f05c9f0aba98033e43e8409);\n", " \n", "\n", - " circle_marker_88d1266ba2741113cb5496ef82c68dff.bindPopup(popup_84df6d0d3c84486001e22a24493e048c)\n", + " circle_marker_534624b098ecc60b665fe47352142a9e.bindPopup(popup_86a3dcab017f87a32012375f8b2280fe)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_321c1848ea391ab252d9de5c1b937dc8 = L.circleMarker(\n", + " var circle_marker_0b923811eeca5256d4e64e79e63bb99b = L.circleMarker(\n", " [37.74432569801819, -122.42064590761126],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_f49d2548432a251e53ee42f147696af2 = L.popup({"maxWidth": "100%"});\n", + " var popup_d9fd66eeb0d85ac21f7c8f89ce32bc6f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_248aeea5585b72da5c71483ea370a7a2 = $(`<div id="html_248aeea5585b72da5c71483ea370a7a2" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_f49d2548432a251e53ee42f147696af2.setContent(html_248aeea5585b72da5c71483ea370a7a2);\n", + " var html_28ed4a8f9f43e7c7ae238fab48719a36 = $(`<div id="html_28ed4a8f9f43e7c7ae238fab48719a36" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_d9fd66eeb0d85ac21f7c8f89ce32bc6f.setContent(html_28ed4a8f9f43e7c7ae238fab48719a36);\n", " \n", "\n", - " circle_marker_321c1848ea391ab252d9de5c1b937dc8.bindPopup(popup_f49d2548432a251e53ee42f147696af2)\n", + " circle_marker_0b923811eeca5256d4e64e79e63bb99b.bindPopup(popup_d9fd66eeb0d85ac21f7c8f89ce32bc6f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f99a97f35b51ad9b585b9f6cef6437d3 = L.circleMarker(\n", + " var circle_marker_7ebe1f9083f30d18386472c8b2146dc2 = L.circleMarker(\n", " [37.74682924903755, -122.42209591165009],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_e6737f951cb1ac93c356c7f50fa4875a = L.popup({"maxWidth": "100%"});\n", + " var popup_324d717f406c8cf2ba78ccf9b750a44e = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_b3cd7f571e697d9fb5f72f6723ee9bc1 = $(`<div id="html_b3cd7f571e697d9fb5f72f6723ee9bc1" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_e6737f951cb1ac93c356c7f50fa4875a.setContent(html_b3cd7f571e697d9fb5f72f6723ee9bc1);\n", + " var html_a006c2e1d3bdce9cb6000bdd0f82207c = $(`<div id="html_a006c2e1d3bdce9cb6000bdd0f82207c" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_324d717f406c8cf2ba78ccf9b750a44e.setContent(html_a006c2e1d3bdce9cb6000bdd0f82207c);\n", " \n", "\n", - " circle_marker_f99a97f35b51ad9b585b9f6cef6437d3.bindPopup(popup_e6737f951cb1ac93c356c7f50fa4875a)\n", + " circle_marker_7ebe1f9083f30d18386472c8b2146dc2.bindPopup(popup_324d717f406c8cf2ba78ccf9b750a44e)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_05ef17c414736bd129cf5836653e1bc3 = L.circleMarker(\n", + " var circle_marker_58d694cbded4a3cbffff4bfa7272f287 = L.circleMarker(\n", " [37.743252477037885, -122.42334097025606],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_e3ece7edab44ee7c0cc0c5a1d6967396 = L.popup({"maxWidth": "100%"});\n", + " var popup_6ab6b5446319a7262fcfad6930408959 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ae52b570de951e039dc8c0155ebd9084 = $(`<div id="html_ae52b570de951e039dc8c0155ebd9084" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_e3ece7edab44ee7c0cc0c5a1d6967396.setContent(html_ae52b570de951e039dc8c0155ebd9084);\n", + " var html_65018def51f0d81240b993b38f4e4799 = $(`<div id="html_65018def51f0d81240b993b38f4e4799" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_6ab6b5446319a7262fcfad6930408959.setContent(html_65018def51f0d81240b993b38f4e4799);\n", " \n", "\n", - " circle_marker_05ef17c414736bd129cf5836653e1bc3.bindPopup(popup_e3ece7edab44ee7c0cc0c5a1d6967396)\n", + " circle_marker_58d694cbded4a3cbffff4bfa7272f287.bindPopup(popup_6ab6b5446319a7262fcfad6930408959)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a9704fa326a3ac8c7f1501e5902704f6 = L.circleMarker(\n", + " var circle_marker_717e46177f3924e729b10d86eee619b9 = L.circleMarker(\n", " [37.741231897645584, -122.41468376365637],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_ab30cdad0e64a7f4806625d062b090e0 = L.popup({"maxWidth": "100%"});\n", + " var popup_5b3fc178b6e2bdc362ee85b532d24872 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f476908485ee5c407754e2ebee15936b = $(`<div id="html_f476908485ee5c407754e2ebee15936b" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_ab30cdad0e64a7f4806625d062b090e0.setContent(html_f476908485ee5c407754e2ebee15936b);\n", + " var html_cba93403f6f31c7b16af35d8a3d46f49 = $(`<div id="html_cba93403f6f31c7b16af35d8a3d46f49" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_5b3fc178b6e2bdc362ee85b532d24872.setContent(html_cba93403f6f31c7b16af35d8a3d46f49);\n", " \n", "\n", - " circle_marker_a9704fa326a3ac8c7f1501e5902704f6.bindPopup(popup_ab30cdad0e64a7f4806625d062b090e0)\n", + " circle_marker_717e46177f3924e729b10d86eee619b9.bindPopup(popup_5b3fc178b6e2bdc362ee85b532d24872)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_811ce295204c4b8cbafdc4b1faf519bd = L.circleMarker(\n", + " var circle_marker_735141b7c952019255bb7946145ea09a = L.circleMarker(\n", " [37.74110751909093, -122.41267626306029],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_750f93911f02152830a2a2e15492f1db = L.popup({"maxWidth": "100%"});\n", + " var popup_1cdb5fbaf5df0fd3c24ea94a6bc55bfe = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_4f85903e043884971bd67a07ba637578 = $(`<div id="html_4f85903e043884971bd67a07ba637578" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_750f93911f02152830a2a2e15492f1db.setContent(html_4f85903e043884971bd67a07ba637578);\n", + " var html_6df87f8150145d5c6c8aa526e2e5f9e6 = $(`<div id="html_6df87f8150145d5c6c8aa526e2e5f9e6" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_1cdb5fbaf5df0fd3c24ea94a6bc55bfe.setContent(html_6df87f8150145d5c6c8aa526e2e5f9e6);\n", " \n", "\n", - " circle_marker_811ce295204c4b8cbafdc4b1faf519bd.bindPopup(popup_750f93911f02152830a2a2e15492f1db)\n", + " circle_marker_735141b7c952019255bb7946145ea09a.bindPopup(popup_1cdb5fbaf5df0fd3c24ea94a6bc55bfe)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_9eacb825644abd8e8bf22b87fa3ea8ba = L.circleMarker(\n", + " var circle_marker_9b0aa34d1fbc7090c9fcd6a94175218c = L.circleMarker(\n", " [37.735512604334986, -122.4232176302866],\n", " {"bubblingMouseEvents": true, "color": "mediumseagreen", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "mediumseagreen", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_95bcaed86e2d00a3bd638f1f2fe77ef5 = L.popup({"maxWidth": "100%"});\n", + " var popup_5a458667428b1467ec5e5ff9c2945d3b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_3f83de45ad269fa480d6c9cda2aa0bbf = $(`<div id="html_3f83de45ad269fa480d6c9cda2aa0bbf" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_95bcaed86e2d00a3bd638f1f2fe77ef5.setContent(html_3f83de45ad269fa480d6c9cda2aa0bbf);\n", + " var html_7f042d6ce856fe0363076f3551af6859 = $(`<div id="html_7f042d6ce856fe0363076f3551af6859" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_5a458667428b1467ec5e5ff9c2945d3b.setContent(html_7f042d6ce856fe0363076f3551af6859);\n", " \n", "\n", - " circle_marker_9eacb825644abd8e8bf22b87fa3ea8ba.bindPopup(popup_95bcaed86e2d00a3bd638f1f2fe77ef5)\n", + " circle_marker_9b0aa34d1fbc7090c9fcd6a94175218c.bindPopup(popup_5a458667428b1467ec5e5ff9c2945d3b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d5abfc1fdab025aa488930d2e906190d = L.circleMarker(\n", + " var circle_marker_ed735be58a9a2d2b1150178398f2c81c = L.circleMarker(\n", " [37.75604380541952, -122.41455252209364],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_2537a791aef6600c36ef2c1151436eb6 = L.popup({"maxWidth": "100%"});\n", + " var popup_f9c225e7a76d5846783c14de3c11e7e9 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_8ce5705d50781dd39109d04a867a437a = $(`<div id="html_8ce5705d50781dd39109d04a867a437a" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_2537a791aef6600c36ef2c1151436eb6.setContent(html_8ce5705d50781dd39109d04a867a437a);\n", + " var html_fa84912c4b5eca0af70cf1c74f70c36a = $(`<div id="html_fa84912c4b5eca0af70cf1c74f70c36a" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_f9c225e7a76d5846783c14de3c11e7e9.setContent(html_fa84912c4b5eca0af70cf1c74f70c36a);\n", " \n", "\n", - " circle_marker_d5abfc1fdab025aa488930d2e906190d.bindPopup(popup_2537a791aef6600c36ef2c1151436eb6)\n", + " circle_marker_ed735be58a9a2d2b1150178398f2c81c.bindPopup(popup_f9c225e7a76d5846783c14de3c11e7e9)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b401a24e3c59b0707258deb18775a031 = L.circleMarker(\n", + " var circle_marker_e5dcd09eb3acb60ea5c59cc83e002386 = L.circleMarker(\n", " [37.75021115925127, -122.41317377916111],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_a5c7c8c7b1b6ea13bea3d3204390d22b = L.popup({"maxWidth": "100%"});\n", + " var popup_ae6cf6d7248a038000fab46d86f5886e = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_26f9d1bfcef3146d2597160a85e25df0 = $(`<div id="html_26f9d1bfcef3146d2597160a85e25df0" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_a5c7c8c7b1b6ea13bea3d3204390d22b.setContent(html_26f9d1bfcef3146d2597160a85e25df0);\n", + " var html_a8ca8b644640429c36f1f5aa19d537a6 = $(`<div id="html_a8ca8b644640429c36f1f5aa19d537a6" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_ae6cf6d7248a038000fab46d86f5886e.setContent(html_a8ca8b644640429c36f1f5aa19d537a6);\n", " \n", "\n", - " circle_marker_b401a24e3c59b0707258deb18775a031.bindPopup(popup_a5c7c8c7b1b6ea13bea3d3204390d22b)\n", + " circle_marker_e5dcd09eb3acb60ea5c59cc83e002386.bindPopup(popup_ae6cf6d7248a038000fab46d86f5886e)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_499cbf1030cefb18387115bf1f4ecd44 = L.circleMarker(\n", + " var circle_marker_4f0a05f5edf6e02cd822f143c0d86fd8 = L.circleMarker(\n", " [37.7536705815843, -122.4177510779481],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_270a7831da33ce9e7db153c1ceffb332 = L.popup({"maxWidth": "100%"});\n", + " var popup_14e308218424c04fc7189f704ab5218a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_43f699c18ef3f89673d59f230016328c = $(`<div id="html_43f699c18ef3f89673d59f230016328c" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_270a7831da33ce9e7db153c1ceffb332.setContent(html_43f699c18ef3f89673d59f230016328c);\n", + " var html_70fae534cb1e32369f62870092e176c8 = $(`<div id="html_70fae534cb1e32369f62870092e176c8" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_14e308218424c04fc7189f704ab5218a.setContent(html_70fae534cb1e32369f62870092e176c8);\n", " \n", "\n", - " circle_marker_499cbf1030cefb18387115bf1f4ecd44.bindPopup(popup_270a7831da33ce9e7db153c1ceffb332)\n", + " circle_marker_4f0a05f5edf6e02cd822f143c0d86fd8.bindPopup(popup_14e308218424c04fc7189f704ab5218a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e90049af6c5ae0cfec1d4bdb8a2b25f7 = L.circleMarker(\n", + " var circle_marker_4336e189a3f44ea233b4771c550e159d = L.circleMarker(\n", " [37.76209144173078, -122.41739502122897],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_500487b67749a97b43ce0bd22eea9957 = L.popup({"maxWidth": "100%"});\n", + " var popup_7d67a2023f26f2b846fd4260565d4af9 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0932df46aaff955a0bbe0956f976f287 = $(`<div id="html_0932df46aaff955a0bbe0956f976f287" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_500487b67749a97b43ce0bd22eea9957.setContent(html_0932df46aaff955a0bbe0956f976f287);\n", + " var html_683efaa7bf5dbbc5ae416f6587f57ca2 = $(`<div id="html_683efaa7bf5dbbc5ae416f6587f57ca2" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_7d67a2023f26f2b846fd4260565d4af9.setContent(html_683efaa7bf5dbbc5ae416f6587f57ca2);\n", " \n", "\n", - " circle_marker_e90049af6c5ae0cfec1d4bdb8a2b25f7.bindPopup(popup_500487b67749a97b43ce0bd22eea9957)\n", + " circle_marker_4336e189a3f44ea233b4771c550e159d.bindPopup(popup_7d67a2023f26f2b846fd4260565d4af9)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_befeb801ed5e2e19a6b245127a4b880f = L.circleMarker(\n", + " var circle_marker_9dc881da266cb81caa982daccc556e92 = L.circleMarker(\n", " [37.74966359321169, -122.40834467492677],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_6e0371dca54abbbc98b9cd5823ddc08a = L.popup({"maxWidth": "100%"});\n", + " var popup_ce34568fd6e948cf36da5ce624719f9f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_55eff22d0f070033eaff391d579c547e = $(`<div id="html_55eff22d0f070033eaff391d579c547e" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_6e0371dca54abbbc98b9cd5823ddc08a.setContent(html_55eff22d0f070033eaff391d579c547e);\n", + " var html_b14a09bb2feddbf1c6e2f3dc557a75cb = $(`<div id="html_b14a09bb2feddbf1c6e2f3dc557a75cb" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_ce34568fd6e948cf36da5ce624719f9f.setContent(html_b14a09bb2feddbf1c6e2f3dc557a75cb);\n", " \n", "\n", - " circle_marker_befeb801ed5e2e19a6b245127a4b880f.bindPopup(popup_6e0371dca54abbbc98b9cd5823ddc08a)\n", + " circle_marker_9dc881da266cb81caa982daccc556e92.bindPopup(popup_ce34568fd6e948cf36da5ce624719f9f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_3792652b37081307fc66c847814a90d7 = L.circleMarker(\n", + " var circle_marker_9db2248bd0ae02d069bd2af9e23a3496 = L.circleMarker(\n", " [37.76324983366825, -122.41406105319669],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_12b75305b3a57495f84ef24e7496c0fd = L.popup({"maxWidth": "100%"});\n", + " var popup_a574421a35a36d2368c0da25c981e289 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_27758e0c324f28ef1d3df565a86fc421 = $(`<div id="html_27758e0c324f28ef1d3df565a86fc421" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_12b75305b3a57495f84ef24e7496c0fd.setContent(html_27758e0c324f28ef1d3df565a86fc421);\n", + " var html_0c5e7b48a79d711f78671654290dbe1b = $(`<div id="html_0c5e7b48a79d711f78671654290dbe1b" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_a574421a35a36d2368c0da25c981e289.setContent(html_0c5e7b48a79d711f78671654290dbe1b);\n", " \n", "\n", - " circle_marker_3792652b37081307fc66c847814a90d7.bindPopup(popup_12b75305b3a57495f84ef24e7496c0fd)\n", + " circle_marker_9db2248bd0ae02d069bd2af9e23a3496.bindPopup(popup_a574421a35a36d2368c0da25c981e289)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0ea5e63ebaed231547c530a143b9401e = L.circleMarker(\n", + " var circle_marker_d2582967a0c9172d387ce9c3d1adb0db = L.circleMarker(\n", " [37.76134617605315, -122.40869142607274],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_657061cc2b474ebd5e9289637001efbf = L.popup({"maxWidth": "100%"});\n", + " var popup_e0cb5de0cd109526efcaeb138d5cd416 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_81039ac5b2140f28f2b32c230fb2a707 = $(`<div id="html_81039ac5b2140f28f2b32c230fb2a707" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_657061cc2b474ebd5e9289637001efbf.setContent(html_81039ac5b2140f28f2b32c230fb2a707);\n", + " var html_0e39b8805a058804fd3e00ce82d644f6 = $(`<div id="html_0e39b8805a058804fd3e00ce82d644f6" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_e0cb5de0cd109526efcaeb138d5cd416.setContent(html_0e39b8805a058804fd3e00ce82d644f6);\n", " \n", "\n", - " circle_marker_0ea5e63ebaed231547c530a143b9401e.bindPopup(popup_657061cc2b474ebd5e9289637001efbf)\n", + " circle_marker_d2582967a0c9172d387ce9c3d1adb0db.bindPopup(popup_e0cb5de0cd109526efcaeb138d5cd416)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8873285a3ccdda1ee391ba1ccded6565 = L.circleMarker(\n", + " var circle_marker_de9d479a0f5a8140cc0c801c3690b4a4 = L.circleMarker(\n", " [37.75828156322945, -122.41678443341827],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_caa7746ef015f88274e646b766016d35 = L.popup({"maxWidth": "100%"});\n", + " var popup_6333773e8adedd9fd278627a5aa64bad = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_667a5afd7d483f14c3554ec4f60536cf = $(`<div id="html_667a5afd7d483f14c3554ec4f60536cf" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_caa7746ef015f88274e646b766016d35.setContent(html_667a5afd7d483f14c3554ec4f60536cf);\n", + " var html_9163275f9d671f18eab5ca51b92ec61d = $(`<div id="html_9163275f9d671f18eab5ca51b92ec61d" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_6333773e8adedd9fd278627a5aa64bad.setContent(html_9163275f9d671f18eab5ca51b92ec61d);\n", " \n", "\n", - " circle_marker_8873285a3ccdda1ee391ba1ccded6565.bindPopup(popup_caa7746ef015f88274e646b766016d35)\n", + " circle_marker_de9d479a0f5a8140cc0c801c3690b4a4.bindPopup(popup_6333773e8adedd9fd278627a5aa64bad)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_dea88c04db50d6e1fa7d4279af1f709b = L.circleMarker(\n", + " var circle_marker_9cb451a1f46be238ad75a5e0ffcb8e43 = L.circleMarker(\n", " [37.75806595539574, -122.42181701677706],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_d62f5a053afd3320167b98d79edb2d9a = L.popup({"maxWidth": "100%"});\n", + " var popup_6459e37ac0f49b4f80c0cc4ca932dfaa = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6c2dc866f80abe1408dfe7382cb3f335 = $(`<div id="html_6c2dc866f80abe1408dfe7382cb3f335" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_d62f5a053afd3320167b98d79edb2d9a.setContent(html_6c2dc866f80abe1408dfe7382cb3f335);\n", + " var html_e66608aeb901c509f076dc184734e9e2 = $(`<div id="html_e66608aeb901c509f076dc184734e9e2" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_6459e37ac0f49b4f80c0cc4ca932dfaa.setContent(html_e66608aeb901c509f076dc184734e9e2);\n", " \n", "\n", - " circle_marker_dea88c04db50d6e1fa7d4279af1f709b.bindPopup(popup_d62f5a053afd3320167b98d79edb2d9a)\n", + " circle_marker_9cb451a1f46be238ad75a5e0ffcb8e43.bindPopup(popup_6459e37ac0f49b4f80c0cc4ca932dfaa)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b9270ec64e6795bfcff5b040e4eca011 = L.circleMarker(\n", + " var circle_marker_8733891818e3a26c6d7349f2c685ce2c = L.circleMarker(\n", " [37.75101772588085, -122.41692062210988],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_6a8060569d9033b7f61c71e59eabf05c = L.popup({"maxWidth": "100%"});\n", + " var popup_582e264654fddb0ff9767ebc1f7f8e23 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a9ed1b2323966128ae740f603e197927 = $(`<div id="html_a9ed1b2323966128ae740f603e197927" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_6a8060569d9033b7f61c71e59eabf05c.setContent(html_a9ed1b2323966128ae740f603e197927);\n", + " var html_98a5c01709615d48b5585541d92e8533 = $(`<div id="html_98a5c01709615d48b5585541d92e8533" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_582e264654fddb0ff9767ebc1f7f8e23.setContent(html_98a5c01709615d48b5585541d92e8533);\n", " \n", "\n", - " circle_marker_b9270ec64e6795bfcff5b040e4eca011.bindPopup(popup_6a8060569d9033b7f61c71e59eabf05c)\n", + " circle_marker_8733891818e3a26c6d7349f2c685ce2c.bindPopup(popup_582e264654fddb0ff9767ebc1f7f8e23)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1a8c1aa028f5885a4b9626c6b3f1ca00 = L.circleMarker(\n", + " var circle_marker_ba3bf17dd8774904cd294f21b9e64685 = L.circleMarker(\n", " [37.75267875552496, -122.4129352817101],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_1dd87b5e4965826b8e29d9fae88292fd = L.popup({"maxWidth": "100%"});\n", + " var popup_678ce8c7b50cd41f12e46c6cb1d86e61 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_5aa732b15ae656f66e72b954c4994780 = $(`<div id="html_5aa732b15ae656f66e72b954c4994780" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_1dd87b5e4965826b8e29d9fae88292fd.setContent(html_5aa732b15ae656f66e72b954c4994780);\n", + " var html_7fd1c35858f8b9c14965193143bbebea = $(`<div id="html_7fd1c35858f8b9c14965193143bbebea" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_678ce8c7b50cd41f12e46c6cb1d86e61.setContent(html_7fd1c35858f8b9c14965193143bbebea);\n", " \n", "\n", - " circle_marker_1a8c1aa028f5885a4b9626c6b3f1ca00.bindPopup(popup_1dd87b5e4965826b8e29d9fae88292fd)\n", + " circle_marker_ba3bf17dd8774904cd294f21b9e64685.bindPopup(popup_678ce8c7b50cd41f12e46c6cb1d86e61)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_9084900410c05804a309630a500ab722 = L.circleMarker(\n", + " var circle_marker_e89b0b2ce4dadb90cbe447c2d0bd3222 = L.circleMarker(\n", " [37.75451800575868, -122.41153810982007],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_d67492ca003fa52e9f167fda177be26e = L.popup({"maxWidth": "100%"});\n", + " var popup_dd7cb0bc23da64a6946dc05499bffc92 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_1b4215ebac4f89d386a43e5afd06deb5 = $(`<div id="html_1b4215ebac4f89d386a43e5afd06deb5" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_d67492ca003fa52e9f167fda177be26e.setContent(html_1b4215ebac4f89d386a43e5afd06deb5);\n", + " var html_28f5d072fbd7bdcb5d1c0056f73cfda0 = $(`<div id="html_28f5d072fbd7bdcb5d1c0056f73cfda0" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_dd7cb0bc23da64a6946dc05499bffc92.setContent(html_28f5d072fbd7bdcb5d1c0056f73cfda0);\n", " \n", "\n", - " circle_marker_9084900410c05804a309630a500ab722.bindPopup(popup_d67492ca003fa52e9f167fda177be26e)\n", + " circle_marker_e89b0b2ce4dadb90cbe447c2d0bd3222.bindPopup(popup_dd7cb0bc23da64a6946dc05499bffc92)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ddc0b660da1937a8ce16b570910bf45f = L.circleMarker(\n", + " var circle_marker_82480ca4278877747805f2b88e5db260 = L.circleMarker(\n", " [37.74657122463306, -122.4140060513352],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_a6708f3f45307d2bb774884217f0891c = L.popup({"maxWidth": "100%"});\n", + " var popup_8bcc1eff68171bcdbdd1f918eeba86e4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_1742371a434136bd04b7859e256a07c8 = $(`<div id="html_1742371a434136bd04b7859e256a07c8" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_a6708f3f45307d2bb774884217f0891c.setContent(html_1742371a434136bd04b7859e256a07c8);\n", + " var html_ca2befe78c4b7d48ba75f457da7faa63 = $(`<div id="html_ca2befe78c4b7d48ba75f457da7faa63" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_8bcc1eff68171bcdbdd1f918eeba86e4.setContent(html_ca2befe78c4b7d48ba75f457da7faa63);\n", " \n", "\n", - " circle_marker_ddc0b660da1937a8ce16b570910bf45f.bindPopup(popup_a6708f3f45307d2bb774884217f0891c)\n", + " circle_marker_82480ca4278877747805f2b88e5db260.bindPopup(popup_8bcc1eff68171bcdbdd1f918eeba86e4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a1d097e86df89db308cc3c42305ce3ef = L.circleMarker(\n", + " var circle_marker_4402caca64b435554a26967a492e6838 = L.circleMarker(\n", " [37.76337653617459, -122.41385911135957],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_ad14848c2f879f44b37a8f4d42168efc = L.popup({"maxWidth": "100%"});\n", + " var popup_4d02440cd11edb0ddaa38ee5499ee6f2 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_4dc5756ae54331fc41ed32a0daa59e2f = $(`<div id="html_4dc5756ae54331fc41ed32a0daa59e2f" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_ad14848c2f879f44b37a8f4d42168efc.setContent(html_4dc5756ae54331fc41ed32a0daa59e2f);\n", + " var html_c158f4c642d8ba7d6be95c05ad90b268 = $(`<div id="html_c158f4c642d8ba7d6be95c05ad90b268" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_4d02440cd11edb0ddaa38ee5499ee6f2.setContent(html_c158f4c642d8ba7d6be95c05ad90b268);\n", " \n", "\n", - " circle_marker_a1d097e86df89db308cc3c42305ce3ef.bindPopup(popup_ad14848c2f879f44b37a8f4d42168efc)\n", + " circle_marker_4402caca64b435554a26967a492e6838.bindPopup(popup_4d02440cd11edb0ddaa38ee5499ee6f2)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1be44da98e801e7ecab187512b6f6713 = L.circleMarker(\n", + " var circle_marker_fe07e5e7f06238b8c49ae273c6e04355 = L.circleMarker(\n", " [37.754407470692996, -122.42043665185116],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_d79282e089bbf9b2285a4ad0096fd554 = L.popup({"maxWidth": "100%"});\n", + " var popup_003d5cd76d0bdf9d03fde36fd17b1f0a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_5cc1d52f1c0e6a57e1c8df89f44ad50c = $(`<div id="html_5cc1d52f1c0e6a57e1c8df89f44ad50c" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_d79282e089bbf9b2285a4ad0096fd554.setContent(html_5cc1d52f1c0e6a57e1c8df89f44ad50c);\n", + " var html_5bb550b9a44064f9404abbcbf213c91d = $(`<div id="html_5bb550b9a44064f9404abbcbf213c91d" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_003d5cd76d0bdf9d03fde36fd17b1f0a.setContent(html_5bb550b9a44064f9404abbcbf213c91d);\n", " \n", "\n", - " circle_marker_1be44da98e801e7ecab187512b6f6713.bindPopup(popup_d79282e089bbf9b2285a4ad0096fd554)\n", + " circle_marker_fe07e5e7f06238b8c49ae273c6e04355.bindPopup(popup_003d5cd76d0bdf9d03fde36fd17b1f0a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e61a5edaa69c4a6601087e7eea8433ec = L.circleMarker(\n", + " var circle_marker_8303d1fc1b3c22d30f5c6fab993a9faa = L.circleMarker(\n", " [37.76450303329318, -122.40978938157065],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_834bfd86e20e9a7db3459b0bead885bf = L.popup({"maxWidth": "100%"});\n", + " var popup_9e53b31beccb0790aafe12901ab27103 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2a7de60f8fcf8c1c5c83a70229c3cfc6 = $(`<div id="html_2a7de60f8fcf8c1c5c83a70229c3cfc6" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_834bfd86e20e9a7db3459b0bead885bf.setContent(html_2a7de60f8fcf8c1c5c83a70229c3cfc6);\n", + " var html_998ea30541a2ae7198cd3d169fd73542 = $(`<div id="html_998ea30541a2ae7198cd3d169fd73542" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_9e53b31beccb0790aafe12901ab27103.setContent(html_998ea30541a2ae7198cd3d169fd73542);\n", " \n", "\n", - " circle_marker_e61a5edaa69c4a6601087e7eea8433ec.bindPopup(popup_834bfd86e20e9a7db3459b0bead885bf)\n", + " circle_marker_8303d1fc1b3c22d30f5c6fab993a9faa.bindPopup(popup_9e53b31beccb0790aafe12901ab27103)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_33ec20849144e7426d13331658b37e85 = L.circleMarker(\n", + " var circle_marker_80d66a33ce4aac0c69a7353258ee57ee = L.circleMarker(\n", " [37.75128223638914, -122.42222086466421],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_c75146f1dad19b64a285f913ecf91246 = L.popup({"maxWidth": "100%"});\n", + " var popup_76551101fb33732dd1f31f50e82712d8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d6793acd7b43ea42073b20e46abd02ac = $(`<div id="html_d6793acd7b43ea42073b20e46abd02ac" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_c75146f1dad19b64a285f913ecf91246.setContent(html_d6793acd7b43ea42073b20e46abd02ac);\n", + " var html_9ed87ac4dd062a552bb53677dcee649a = $(`<div id="html_9ed87ac4dd062a552bb53677dcee649a" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_76551101fb33732dd1f31f50e82712d8.setContent(html_9ed87ac4dd062a552bb53677dcee649a);\n", " \n", "\n", - " circle_marker_33ec20849144e7426d13331658b37e85.bindPopup(popup_c75146f1dad19b64a285f913ecf91246)\n", + " circle_marker_80d66a33ce4aac0c69a7353258ee57ee.bindPopup(popup_76551101fb33732dd1f31f50e82712d8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bd16d21381835032cdce5e3934fe9883 = L.circleMarker(\n", + " var circle_marker_4cf4aa30f5066457a0f8f77f250d78a8 = L.circleMarker(\n", " [37.751148483269525, -122.41344777640442],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_15c47f78ccf63afdeaf0d0d365549132 = L.popup({"maxWidth": "100%"});\n", + " var popup_e3a86f652c3f25a28bb2edbd0dc401c5 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_2b788741747d476d4cc00bb0e5273895 = $(`<div id="html_2b788741747d476d4cc00bb0e5273895" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_15c47f78ccf63afdeaf0d0d365549132.setContent(html_2b788741747d476d4cc00bb0e5273895);\n", + " var html_43c5dff84604e91e3d8bdd18de4e3bfd = $(`<div id="html_43c5dff84604e91e3d8bdd18de4e3bfd" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_e3a86f652c3f25a28bb2edbd0dc401c5.setContent(html_43c5dff84604e91e3d8bdd18de4e3bfd);\n", " \n", "\n", - " circle_marker_bd16d21381835032cdce5e3934fe9883.bindPopup(popup_15c47f78ccf63afdeaf0d0d365549132)\n", + " circle_marker_4cf4aa30f5066457a0f8f77f250d78a8.bindPopup(popup_e3a86f652c3f25a28bb2edbd0dc401c5)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_3da0c78f9787990de8069559717397f6 = L.circleMarker(\n", + " var circle_marker_2c64ecf5648d2a96c5017fe012d6e471 = L.circleMarker(\n", " [37.76417974814643, -122.42287692579625],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_2263c8e0099bf196a97eec32e7696003 = L.popup({"maxWidth": "100%"});\n", + " var popup_fe9712480ed8cc0e1b62045f93c39c5c = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_912d58c00297a835d5cb4efd6d11d042 = $(`<div id="html_912d58c00297a835d5cb4efd6d11d042" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_2263c8e0099bf196a97eec32e7696003.setContent(html_912d58c00297a835d5cb4efd6d11d042);\n", + " var html_d5a06f9d84e56a041a016c25e81e9f89 = $(`<div id="html_d5a06f9d84e56a041a016c25e81e9f89" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_fe9712480ed8cc0e1b62045f93c39c5c.setContent(html_d5a06f9d84e56a041a016c25e81e9f89);\n", " \n", "\n", - " circle_marker_3da0c78f9787990de8069559717397f6.bindPopup(popup_2263c8e0099bf196a97eec32e7696003)\n", + " circle_marker_2c64ecf5648d2a96c5017fe012d6e471.bindPopup(popup_fe9712480ed8cc0e1b62045f93c39c5c)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c3aa097ffb457f5defb649eef1ad3522 = L.circleMarker(\n", + " var circle_marker_343f6e63ed04e98df90551babf255c31 = L.circleMarker(\n", " [37.760537804214785, -122.41715126382405],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_13b2f4bd743367599793466bb4ab8aad = L.popup({"maxWidth": "100%"});\n", + " var popup_de3b6c9ae674326d724e1f56b3807627 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_71ad821f2b7951e93d5803b6481b1ec2 = $(`<div id="html_71ad821f2b7951e93d5803b6481b1ec2" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_13b2f4bd743367599793466bb4ab8aad.setContent(html_71ad821f2b7951e93d5803b6481b1ec2);\n", + " var html_6015b4470eba429060783328b3301ebf = $(`<div id="html_6015b4470eba429060783328b3301ebf" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_de3b6c9ae674326d724e1f56b3807627.setContent(html_6015b4470eba429060783328b3301ebf);\n", " \n", "\n", - " circle_marker_c3aa097ffb457f5defb649eef1ad3522.bindPopup(popup_13b2f4bd743367599793466bb4ab8aad)\n", + " circle_marker_343f6e63ed04e98df90551babf255c31.bindPopup(popup_de3b6c9ae674326d724e1f56b3807627)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f14f6784cceae201a1ddb7850d04fca5 = L.circleMarker(\n", + " var circle_marker_0aa1db7234561b31c00f71ea22cae570 = L.circleMarker(\n", " [37.75145743334203, -122.40606052669463],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_a4f9eecd0dd5baf7f088f91f650bfa58 = L.popup({"maxWidth": "100%"});\n", + " var popup_409542c26b19b9bda2c66d90be620bf4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_20c53ce58e0ca18ce9410504d1696df9 = $(`<div id="html_20c53ce58e0ca18ce9410504d1696df9" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_a4f9eecd0dd5baf7f088f91f650bfa58.setContent(html_20c53ce58e0ca18ce9410504d1696df9);\n", + " var html_77a3138e0edfc5b250a8d519043afb19 = $(`<div id="html_77a3138e0edfc5b250a8d519043afb19" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_409542c26b19b9bda2c66d90be620bf4.setContent(html_77a3138e0edfc5b250a8d519043afb19);\n", " \n", "\n", - " circle_marker_f14f6784cceae201a1ddb7850d04fca5.bindPopup(popup_a4f9eecd0dd5baf7f088f91f650bfa58)\n", + " circle_marker_0aa1db7234561b31c00f71ea22cae570.bindPopup(popup_409542c26b19b9bda2c66d90be620bf4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1954c793b811bb7cd60c382b23e7fc0e = L.circleMarker(\n", + " var circle_marker_1c005f73b1e6b7cc0fae330d9e2d9d0e = L.circleMarker(\n", " [37.74871935743222, -122.41004340162493],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_12dcd0f92a4dbd3c74617159fbbb61f8 = L.popup({"maxWidth": "100%"});\n", + " var popup_99b3d72083be1a3fe70d6ec693e58d3d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_706dde4a50f23d094731039082cbc3c0 = $(`<div id="html_706dde4a50f23d094731039082cbc3c0" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_12dcd0f92a4dbd3c74617159fbbb61f8.setContent(html_706dde4a50f23d094731039082cbc3c0);\n", + " var html_573c6ddc1f4224a11793d6d52c5cff7d = $(`<div id="html_573c6ddc1f4224a11793d6d52c5cff7d" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_99b3d72083be1a3fe70d6ec693e58d3d.setContent(html_573c6ddc1f4224a11793d6d52c5cff7d);\n", " \n", "\n", - " circle_marker_1954c793b811bb7cd60c382b23e7fc0e.bindPopup(popup_12dcd0f92a4dbd3c74617159fbbb61f8)\n", + " circle_marker_1c005f73b1e6b7cc0fae330d9e2d9d0e.bindPopup(popup_99b3d72083be1a3fe70d6ec693e58d3d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d885ceef59fae9b5025e8aaca482f5bb = L.circleMarker(\n", + " var circle_marker_ae7df414d4c05ddc3bedc4e7c2371420 = L.circleMarker(\n", " [37.75231775479745, -122.41774596037905],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_bf81eabc6bb05378b3a8cb105170172e = L.popup({"maxWidth": "100%"});\n", + " var popup_48d12bead24e4b8ee8e3b9872d046a7e = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_c36bece169997c31d75d47db3a75eed5 = $(`<div id="html_c36bece169997c31d75d47db3a75eed5" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_bf81eabc6bb05378b3a8cb105170172e.setContent(html_c36bece169997c31d75d47db3a75eed5);\n", + " var html_043b4b2450fdb5cc74bdc0600b82f524 = $(`<div id="html_043b4b2450fdb5cc74bdc0600b82f524" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_48d12bead24e4b8ee8e3b9872d046a7e.setContent(html_043b4b2450fdb5cc74bdc0600b82f524);\n", " \n", "\n", - " circle_marker_d885ceef59fae9b5025e8aaca482f5bb.bindPopup(popup_bf81eabc6bb05378b3a8cb105170172e)\n", + " circle_marker_ae7df414d4c05ddc3bedc4e7c2371420.bindPopup(popup_48d12bead24e4b8ee8e3b9872d046a7e)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_affa4bb25971445991bf0d4be3a54a2e = L.circleMarker(\n", + " var circle_marker_8b3034c8432b5ba65b6d610ff20597b6 = L.circleMarker(\n", " [37.751786210327225, -122.41401197674212],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_e2459cf3e67bbd741a86c6f9fd34ad5b = L.popup({"maxWidth": "100%"});\n", + " var popup_1089c6edcfad6c44f206a5ac902a0ed1 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_1392b556c3d9217e3f5a3c298b001637 = $(`<div id="html_1392b556c3d9217e3f5a3c298b001637" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_e2459cf3e67bbd741a86c6f9fd34ad5b.setContent(html_1392b556c3d9217e3f5a3c298b001637);\n", + " var html_1ce599d0970e4a1b48ab4a2bdfe2bba0 = $(`<div id="html_1ce599d0970e4a1b48ab4a2bdfe2bba0" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_1089c6edcfad6c44f206a5ac902a0ed1.setContent(html_1ce599d0970e4a1b48ab4a2bdfe2bba0);\n", " \n", "\n", - " circle_marker_affa4bb25971445991bf0d4be3a54a2e.bindPopup(popup_e2459cf3e67bbd741a86c6f9fd34ad5b)\n", + " circle_marker_8b3034c8432b5ba65b6d610ff20597b6.bindPopup(popup_1089c6edcfad6c44f206a5ac902a0ed1)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a05e95b0de88feb385a2fbb98f4e5f70 = L.circleMarker(\n", + " var circle_marker_e247edc8f9d602931ec57764c5c8a412 = L.circleMarker(\n", " [37.75392082167846, -122.4139005439404],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_604d7f34073e4eea8e75e9fa126e5f59 = L.popup({"maxWidth": "100%"});\n", + " var popup_d4da12e787a6f5a39fcf0b0894c5bb84 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_fcf31aaf90792d088930ce8db42bd03a = $(`<div id="html_fcf31aaf90792d088930ce8db42bd03a" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_604d7f34073e4eea8e75e9fa126e5f59.setContent(html_fcf31aaf90792d088930ce8db42bd03a);\n", + " var html_c70b6e38bc9498868faebbed50d85991 = $(`<div id="html_c70b6e38bc9498868faebbed50d85991" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_d4da12e787a6f5a39fcf0b0894c5bb84.setContent(html_c70b6e38bc9498868faebbed50d85991);\n", " \n", "\n", - " circle_marker_a05e95b0de88feb385a2fbb98f4e5f70.bindPopup(popup_604d7f34073e4eea8e75e9fa126e5f59)\n", + " circle_marker_e247edc8f9d602931ec57764c5c8a412.bindPopup(popup_d4da12e787a6f5a39fcf0b0894c5bb84)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4891d9d65edf08795d1a7be08f613fb7 = L.circleMarker(\n", + " var circle_marker_515d805b655c5e077f4ff78a1a7ca346 = L.circleMarker(\n", " [37.76209659106257, -122.41743903596992],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_d1f02f461c12cc1ae9ac6d64d9821a28 = L.popup({"maxWidth": "100%"});\n", + " var popup_da4efb95d96e928f1ef908258e6b52e9 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_6e49569d23b543320bc4882bc9039c48 = $(`<div id="html_6e49569d23b543320bc4882bc9039c48" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_d1f02f461c12cc1ae9ac6d64d9821a28.setContent(html_6e49569d23b543320bc4882bc9039c48);\n", + " var html_5c7e7ca3e50ab903570ae45fa41657d4 = $(`<div id="html_5c7e7ca3e50ab903570ae45fa41657d4" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_da4efb95d96e928f1ef908258e6b52e9.setContent(html_5c7e7ca3e50ab903570ae45fa41657d4);\n", " \n", "\n", - " circle_marker_4891d9d65edf08795d1a7be08f613fb7.bindPopup(popup_d1f02f461c12cc1ae9ac6d64d9821a28)\n", + " circle_marker_515d805b655c5e077f4ff78a1a7ca346.bindPopup(popup_da4efb95d96e928f1ef908258e6b52e9)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_fe79a48a980f4f1aa92b6580019a0998 = L.circleMarker(\n", + " var circle_marker_2753f22273926f94dc912b03d6fa9895 = L.circleMarker(\n", " [37.755656776209086, -122.40797490641594],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_aec951bef2c50f3009c7ee18c173a6f2 = L.popup({"maxWidth": "100%"});\n", + " var popup_19770ff8392222101a486c05bcafcdd1 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_26948ec388187d8a60e2c805d7de908e = $(`<div id="html_26948ec388187d8a60e2c805d7de908e" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_aec951bef2c50f3009c7ee18c173a6f2.setContent(html_26948ec388187d8a60e2c805d7de908e);\n", + " var html_68b8b362c7fd14d4d130599b5d05b75d = $(`<div id="html_68b8b362c7fd14d4d130599b5d05b75d" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_19770ff8392222101a486c05bcafcdd1.setContent(html_68b8b362c7fd14d4d130599b5d05b75d);\n", " \n", "\n", - " circle_marker_fe79a48a980f4f1aa92b6580019a0998.bindPopup(popup_aec951bef2c50f3009c7ee18c173a6f2)\n", + " circle_marker_2753f22273926f94dc912b03d6fa9895.bindPopup(popup_19770ff8392222101a486c05bcafcdd1)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d4bb43257cb19e995922d6d22b82d800 = L.circleMarker(\n", + " var circle_marker_99a37da2050a3edfe790ffee95a7e795 = L.circleMarker(\n", " [37.76304044055552, -122.42601660166785],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_31a6bd536bed5c9c263608c67f0cc83d = L.popup({"maxWidth": "100%"});\n", + " var popup_bcd3be8b6c5f8edc16f9d333dfffb857 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_307a30180c7c336b6e75612fa90b349c = $(`<div id="html_307a30180c7c336b6e75612fa90b349c" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_31a6bd536bed5c9c263608c67f0cc83d.setContent(html_307a30180c7c336b6e75612fa90b349c);\n", + " var html_1674d20440c3051e6173e35a40609630 = $(`<div id="html_1674d20440c3051e6173e35a40609630" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_bcd3be8b6c5f8edc16f9d333dfffb857.setContent(html_1674d20440c3051e6173e35a40609630);\n", " \n", "\n", - " circle_marker_d4bb43257cb19e995922d6d22b82d800.bindPopup(popup_31a6bd536bed5c9c263608c67f0cc83d)\n", + " circle_marker_99a37da2050a3edfe790ffee95a7e795.bindPopup(popup_bcd3be8b6c5f8edc16f9d333dfffb857)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d9b4d81521d659e8d19ee7870a99e857 = L.circleMarker(\n", + " var circle_marker_5c8f4f1df638101c1af8aa37875fcfa0 = L.circleMarker(\n", " [37.76128158121274, -122.42475869912616],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_dcff6a03612c1f3670189a972b316f29 = L.popup({"maxWidth": "100%"});\n", + " var popup_4be66a61b5fa8060c98e422f73079da8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_8542f4c3288a504e60188c863e82ab18 = $(`<div id="html_8542f4c3288a504e60188c863e82ab18" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_dcff6a03612c1f3670189a972b316f29.setContent(html_8542f4c3288a504e60188c863e82ab18);\n", + " var html_77a47ffc5418e396198b9751f2a34c0a = $(`<div id="html_77a47ffc5418e396198b9751f2a34c0a" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_4be66a61b5fa8060c98e422f73079da8.setContent(html_77a47ffc5418e396198b9751f2a34c0a);\n", " \n", "\n", - " circle_marker_d9b4d81521d659e8d19ee7870a99e857.bindPopup(popup_dcff6a03612c1f3670189a972b316f29)\n", + " circle_marker_5c8f4f1df638101c1af8aa37875fcfa0.bindPopup(popup_4be66a61b5fa8060c98e422f73079da8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_5f25af2ffa12302af8eab37791419817 = L.circleMarker(\n", + " var circle_marker_3fde236bf3f950904b3f5803ad51d98f = L.circleMarker(\n", " [37.76059258583783, -122.4254136565183],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_7d287b4a1ceeae958a1b71146d3dcf40 = L.popup({"maxWidth": "100%"});\n", + " var popup_b535e3714307b39962940ae15d014d91 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_bcb67f56fa23f40906cc8959c3731d93 = $(`<div id="html_bcb67f56fa23f40906cc8959c3731d93" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_7d287b4a1ceeae958a1b71146d3dcf40.setContent(html_bcb67f56fa23f40906cc8959c3731d93);\n", + " var html_12d1cff2795f5c0d305b00b1501da948 = $(`<div id="html_12d1cff2795f5c0d305b00b1501da948" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_b535e3714307b39962940ae15d014d91.setContent(html_12d1cff2795f5c0d305b00b1501da948);\n", " \n", "\n", - " circle_marker_5f25af2ffa12302af8eab37791419817.bindPopup(popup_7d287b4a1ceeae958a1b71146d3dcf40)\n", + " circle_marker_3fde236bf3f950904b3f5803ad51d98f.bindPopup(popup_b535e3714307b39962940ae15d014d91)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f52eb071d193e60ebc36eb01f43305ce = L.circleMarker(\n", + " var circle_marker_cc10df71f53903254a378875c3bceced = L.circleMarker(\n", " [37.75104056209607, -122.40794615669083],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_4dc013e69c29c7385d44da74d1ae27f7 = L.popup({"maxWidth": "100%"});\n", + " var popup_fb3bfb6ec23def77beee9c82e31de26b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_70931eb056c1aa20e2b1aae4e62c6353 = $(`<div id="html_70931eb056c1aa20e2b1aae4e62c6353" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_4dc013e69c29c7385d44da74d1ae27f7.setContent(html_70931eb056c1aa20e2b1aae4e62c6353);\n", + " var html_2b27c2caccbf89fb5bb657c81d8007f7 = $(`<div id="html_2b27c2caccbf89fb5bb657c81d8007f7" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_fb3bfb6ec23def77beee9c82e31de26b.setContent(html_2b27c2caccbf89fb5bb657c81d8007f7);\n", " \n", "\n", - " circle_marker_f52eb071d193e60ebc36eb01f43305ce.bindPopup(popup_4dc013e69c29c7385d44da74d1ae27f7)\n", + " circle_marker_cc10df71f53903254a378875c3bceced.bindPopup(popup_fb3bfb6ec23def77beee9c82e31de26b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_6be4a183b16efdc4368d5cedb82d0d71 = L.circleMarker(\n", + " var circle_marker_f447b055d5ca5820d1ab5b62213be0d3 = L.circleMarker(\n", " [37.747082929796356, -122.41075451027352],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_b1cda7158d9f2892a9dadc8cca5adf4c = L.popup({"maxWidth": "100%"});\n", + " var popup_26649f49cc11232a6c37253261fe5af4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_54abcc40d9a3006037d53514a4e78771 = $(`<div id="html_54abcc40d9a3006037d53514a4e78771" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_b1cda7158d9f2892a9dadc8cca5adf4c.setContent(html_54abcc40d9a3006037d53514a4e78771);\n", + " var html_d5d78fbbe1d4cc3e85db2ac5c64b4cfd = $(`<div id="html_d5d78fbbe1d4cc3e85db2ac5c64b4cfd" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_26649f49cc11232a6c37253261fe5af4.setContent(html_d5d78fbbe1d4cc3e85db2ac5c64b4cfd);\n", " \n", "\n", - " circle_marker_6be4a183b16efdc4368d5cedb82d0d71.bindPopup(popup_b1cda7158d9f2892a9dadc8cca5adf4c)\n", + " circle_marker_f447b055d5ca5820d1ab5b62213be0d3.bindPopup(popup_26649f49cc11232a6c37253261fe5af4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_53bc5b9fc7e1991a2cfff0a9372cc311 = L.circleMarker(\n", + " var circle_marker_8d6a7b128ff327c0406aeb4a9c7a3d28 = L.circleMarker(\n", " [37.7612218618984, -122.41012514709995],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_c6bf810a0aa3d4ca6f6dce7b295f29b1 = L.popup({"maxWidth": "100%"});\n", + " var popup_eb366db7de4078513d22919b6fb042e7 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_c545d29048767082f5f025f178485ed0 = $(`<div id="html_c545d29048767082f5f025f178485ed0" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_c6bf810a0aa3d4ca6f6dce7b295f29b1.setContent(html_c545d29048767082f5f025f178485ed0);\n", + " var html_5c57604331ffac95a27e14b08a5357fd = $(`<div id="html_5c57604331ffac95a27e14b08a5357fd" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_eb366db7de4078513d22919b6fb042e7.setContent(html_5c57604331ffac95a27e14b08a5357fd);\n", " \n", "\n", - " circle_marker_53bc5b9fc7e1991a2cfff0a9372cc311.bindPopup(popup_c6bf810a0aa3d4ca6f6dce7b295f29b1)\n", + " circle_marker_8d6a7b128ff327c0406aeb4a9c7a3d28.bindPopup(popup_eb366db7de4078513d22919b6fb042e7)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_81420e33aee6118faccea058b5a9a5c8 = L.circleMarker(\n", + " var circle_marker_ac710356ae858dbbb2c15406111d0b1c = L.circleMarker(\n", " [37.763334928138605, -122.41975219244812],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_b0683d16d1e04cee88a641f15d920655 = L.popup({"maxWidth": "100%"});\n", + " var popup_62b0b483c545b5085d8dd216b0eb3460 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_b8c707f06ea6dddde4b67601eac026e3 = $(`<div id="html_b8c707f06ea6dddde4b67601eac026e3" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_b0683d16d1e04cee88a641f15d920655.setContent(html_b8c707f06ea6dddde4b67601eac026e3);\n", + " var html_1ac8e5cf9290a279da146f0c6cbf133e = $(`<div id="html_1ac8e5cf9290a279da146f0c6cbf133e" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_62b0b483c545b5085d8dd216b0eb3460.setContent(html_1ac8e5cf9290a279da146f0c6cbf133e);\n", " \n", "\n", - " circle_marker_81420e33aee6118faccea058b5a9a5c8.bindPopup(popup_b0683d16d1e04cee88a641f15d920655)\n", + " circle_marker_ac710356ae858dbbb2c15406111d0b1c.bindPopup(popup_62b0b483c545b5085d8dd216b0eb3460)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bc82152683950aa07f1e9c75e103048e = L.circleMarker(\n", + " var circle_marker_161be0b3d14bc4475dce1a6e9745797e = L.circleMarker(\n", " [37.75175323687019, -122.4148893680859],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_0fcda699df173ca60bdeb4170cd61711 = L.popup({"maxWidth": "100%"});\n", + " var popup_156fd356921bbca5d286c0c455c2946b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_56b0d256f346b3dce8495caf463aec29 = $(`<div id="html_56b0d256f346b3dce8495caf463aec29" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_0fcda699df173ca60bdeb4170cd61711.setContent(html_56b0d256f346b3dce8495caf463aec29);\n", + " var html_590300d4e181e2b8508dd3e5af3d450e = $(`<div id="html_590300d4e181e2b8508dd3e5af3d450e" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_156fd356921bbca5d286c0c455c2946b.setContent(html_590300d4e181e2b8508dd3e5af3d450e);\n", " \n", "\n", - " circle_marker_bc82152683950aa07f1e9c75e103048e.bindPopup(popup_0fcda699df173ca60bdeb4170cd61711)\n", + " circle_marker_161be0b3d14bc4475dce1a6e9745797e.bindPopup(popup_156fd356921bbca5d286c0c455c2946b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_6641c7f3d41927795f22867ad6f9fa63 = L.circleMarker(\n", + " var circle_marker_fef40fe41935779f71714161a476096f = L.circleMarker(\n", " [37.76389286561216, -122.42381965154172],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_41a2dcfa450e1a9b688200e92e41cd78 = L.popup({"maxWidth": "100%"});\n", + " var popup_9fd915a009b7c61a7c3c24c6b34e3973 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_1896652749a4a6371f192ba5ef880a25 = $(`<div id="html_1896652749a4a6371f192ba5ef880a25" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_41a2dcfa450e1a9b688200e92e41cd78.setContent(html_1896652749a4a6371f192ba5ef880a25);\n", + " var html_402b69dafee5714e31a675aa313d9d50 = $(`<div id="html_402b69dafee5714e31a675aa313d9d50" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_9fd915a009b7c61a7c3c24c6b34e3973.setContent(html_402b69dafee5714e31a675aa313d9d50);\n", " \n", "\n", - " circle_marker_6641c7f3d41927795f22867ad6f9fa63.bindPopup(popup_41a2dcfa450e1a9b688200e92e41cd78)\n", + " circle_marker_fef40fe41935779f71714161a476096f.bindPopup(popup_9fd915a009b7c61a7c3c24c6b34e3973)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b8847cc7dba9fe086ac2de4519237096 = L.circleMarker(\n", + " var circle_marker_ff027472ec12ec861ea2f38cb984687b = L.circleMarker(\n", " [37.75539837180495, -122.42060974443976],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_52bda5428541d2ff22c68e87615b1b15 = L.popup({"maxWidth": "100%"});\n", + " var popup_e1f0f740b6f39ecd79ae36d81d22599d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_33f618043ae27a25fdf544e0904ae8ba = $(`<div id="html_33f618043ae27a25fdf544e0904ae8ba" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_52bda5428541d2ff22c68e87615b1b15.setContent(html_33f618043ae27a25fdf544e0904ae8ba);\n", + " var html_b59cd6c5137daecf15a491bdab0f586f = $(`<div id="html_b59cd6c5137daecf15a491bdab0f586f" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_e1f0f740b6f39ecd79ae36d81d22599d.setContent(html_b59cd6c5137daecf15a491bdab0f586f);\n", " \n", "\n", - " circle_marker_b8847cc7dba9fe086ac2de4519237096.bindPopup(popup_52bda5428541d2ff22c68e87615b1b15)\n", + " circle_marker_ff027472ec12ec861ea2f38cb984687b.bindPopup(popup_e1f0f740b6f39ecd79ae36d81d22599d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c2fa427495b5874b79d61e4dd1e656bf = L.circleMarker(\n", + " var circle_marker_08a5e2a114ab80801edd4b2fea7c97ad = L.circleMarker(\n", " [37.76225919844404, -122.41486518168091],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_4b25a2c3f8ef45990b139d1019a42204 = L.popup({"maxWidth": "100%"});\n", + " var popup_98ea45fa76e7cba0647f69a2cfa5a1de = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_408ea939464f000949e62bfcd99883f5 = $(`<div id="html_408ea939464f000949e62bfcd99883f5" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_4b25a2c3f8ef45990b139d1019a42204.setContent(html_408ea939464f000949e62bfcd99883f5);\n", + " var html_6fb0dcf63ebb9cef1d1b58cd34f77fed = $(`<div id="html_6fb0dcf63ebb9cef1d1b58cd34f77fed" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_98ea45fa76e7cba0647f69a2cfa5a1de.setContent(html_6fb0dcf63ebb9cef1d1b58cd34f77fed);\n", " \n", "\n", - " circle_marker_c2fa427495b5874b79d61e4dd1e656bf.bindPopup(popup_4b25a2c3f8ef45990b139d1019a42204)\n", + " circle_marker_08a5e2a114ab80801edd4b2fea7c97ad.bindPopup(popup_98ea45fa76e7cba0647f69a2cfa5a1de)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ec0ffc6addb2dd0e02e70fcf58f1e578 = L.circleMarker(\n", + " var circle_marker_ad55c216b707a2e5fa37a26bf8e5ed4b = L.circleMarker(\n", " [37.76001174749493, -122.41354296784603],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_2c217fc4935a74bcaa21502fba51ce36 = L.popup({"maxWidth": "100%"});\n", + " var popup_7aeecd4a0146ea26dfdf1f6737f75639 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_c6ddcd315f046cce5501663888dcb9ec = $(`<div id="html_c6ddcd315f046cce5501663888dcb9ec" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_2c217fc4935a74bcaa21502fba51ce36.setContent(html_c6ddcd315f046cce5501663888dcb9ec);\n", + " var html_7777c30b46e291fd576a89660154d8a1 = $(`<div id="html_7777c30b46e291fd576a89660154d8a1" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_7aeecd4a0146ea26dfdf1f6737f75639.setContent(html_7777c30b46e291fd576a89660154d8a1);\n", " \n", "\n", - " circle_marker_ec0ffc6addb2dd0e02e70fcf58f1e578.bindPopup(popup_2c217fc4935a74bcaa21502fba51ce36)\n", + " circle_marker_ad55c216b707a2e5fa37a26bf8e5ed4b.bindPopup(popup_7aeecd4a0146ea26dfdf1f6737f75639)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1db29a4deee0f32fc4cb910205f91db8 = L.circleMarker(\n", + " var circle_marker_5dd4b178424fcd9fcce4131e9f2ca1d2 = L.circleMarker(\n", " [37.76143653964776, -122.41250374000519],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_ae787c108d3a768f543c18c91f21b422 = L.popup({"maxWidth": "100%"});\n", + " var popup_0e1e6de122a9eb4e8610f1f177373bc5 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_15d2dcc325235de5a28e30a9a2a1b4df = $(`<div id="html_15d2dcc325235de5a28e30a9a2a1b4df" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_ae787c108d3a768f543c18c91f21b422.setContent(html_15d2dcc325235de5a28e30a9a2a1b4df);\n", + " var html_e24f074e2f4201fcc0543f15caa5b40f = $(`<div id="html_e24f074e2f4201fcc0543f15caa5b40f" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_0e1e6de122a9eb4e8610f1f177373bc5.setContent(html_e24f074e2f4201fcc0543f15caa5b40f);\n", " \n", "\n", - " circle_marker_1db29a4deee0f32fc4cb910205f91db8.bindPopup(popup_ae787c108d3a768f543c18c91f21b422)\n", + " circle_marker_5dd4b178424fcd9fcce4131e9f2ca1d2.bindPopup(popup_0e1e6de122a9eb4e8610f1f177373bc5)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_951f1d6526e334bcf17c60da1df7e24c = L.circleMarker(\n", + " var circle_marker_e407a87024841a3fcf1960af590c940d = L.circleMarker(\n", " [37.758881507967835, -122.42158735975825],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_f23e7ab2da541d9d4c02f3552bc45578 = L.popup({"maxWidth": "100%"});\n", + " var popup_dac03ae4be51af7e0912740ad1f29911 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d7e4fa9d571be52e3403744645070bcf = $(`<div id="html_d7e4fa9d571be52e3403744645070bcf" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_f23e7ab2da541d9d4c02f3552bc45578.setContent(html_d7e4fa9d571be52e3403744645070bcf);\n", + " var html_b0675b7ede3a127301471518adbf55ca = $(`<div id="html_b0675b7ede3a127301471518adbf55ca" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_dac03ae4be51af7e0912740ad1f29911.setContent(html_b0675b7ede3a127301471518adbf55ca);\n", " \n", "\n", - " circle_marker_951f1d6526e334bcf17c60da1df7e24c.bindPopup(popup_f23e7ab2da541d9d4c02f3552bc45578)\n", + " circle_marker_e407a87024841a3fcf1960af590c940d.bindPopup(popup_dac03ae4be51af7e0912740ad1f29911)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bacc7b81812a2c432f4b6c26c32f433b = L.circleMarker(\n", + " var circle_marker_a6fac51f17b2a9374a30c27823828956 = L.circleMarker(\n", " [37.76418120866797, -122.42383388780732],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_84f878cebcf7c7a1f8ef81351339c42d = L.popup({"maxWidth": "100%"});\n", + " var popup_dab88a0566b0a21df477bdb8ed079896 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e09351ad5eadeea851f3e7bc4acc370b = $(`<div id="html_e09351ad5eadeea851f3e7bc4acc370b" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_84f878cebcf7c7a1f8ef81351339c42d.setContent(html_e09351ad5eadeea851f3e7bc4acc370b);\n", + " var html_ce563f238a66c7971e6593daf3a1851b = $(`<div id="html_ce563f238a66c7971e6593daf3a1851b" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_dab88a0566b0a21df477bdb8ed079896.setContent(html_ce563f238a66c7971e6593daf3a1851b);\n", " \n", "\n", - " circle_marker_bacc7b81812a2c432f4b6c26c32f433b.bindPopup(popup_84f878cebcf7c7a1f8ef81351339c42d)\n", + " circle_marker_a6fac51f17b2a9374a30c27823828956.bindPopup(popup_dab88a0566b0a21df477bdb8ed079896)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d99db60daeaddb033b12a262c533fa5b = L.circleMarker(\n", + " var circle_marker_398349ca47ebfeaf30b5c21254f58554 = L.circleMarker(\n", " [37.74742653113364, -122.41901571198258],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_1641905e555f7c7307847ad2a4002435 = L.popup({"maxWidth": "100%"});\n", + " var popup_61a799ac159030ca5743cf6ccf5e1260 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ef198c91892ffce50f1f58c53ae723e2 = $(`<div id="html_ef198c91892ffce50f1f58c53ae723e2" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_1641905e555f7c7307847ad2a4002435.setContent(html_ef198c91892ffce50f1f58c53ae723e2);\n", + " var html_2f52418c22dbb72fc939a9aa3e880056 = $(`<div id="html_2f52418c22dbb72fc939a9aa3e880056" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_61a799ac159030ca5743cf6ccf5e1260.setContent(html_2f52418c22dbb72fc939a9aa3e880056);\n", " \n", "\n", - " circle_marker_d99db60daeaddb033b12a262c533fa5b.bindPopup(popup_1641905e555f7c7307847ad2a4002435)\n", + " circle_marker_398349ca47ebfeaf30b5c21254f58554.bindPopup(popup_61a799ac159030ca5743cf6ccf5e1260)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2913e35f69fa0880512eca6b4d52acdd = L.circleMarker(\n", + " var circle_marker_36c484a88abed004036912785d42cb68 = L.circleMarker(\n", " [37.7516461902975, -122.42148292078194],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_84eb4ddc3045b43ab37a56e4ba3e429f = L.popup({"maxWidth": "100%"});\n", + " var popup_af08ce9fe7cf95c4f5b92b24ef694e83 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ab513f5ca6adf3f129de83dae1099797 = $(`<div id="html_ab513f5ca6adf3f129de83dae1099797" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_84eb4ddc3045b43ab37a56e4ba3e429f.setContent(html_ab513f5ca6adf3f129de83dae1099797);\n", + " var html_140fac511c31b6bf2beb6c5a3273470c = $(`<div id="html_140fac511c31b6bf2beb6c5a3273470c" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_af08ce9fe7cf95c4f5b92b24ef694e83.setContent(html_140fac511c31b6bf2beb6c5a3273470c);\n", " \n", "\n", - " circle_marker_2913e35f69fa0880512eca6b4d52acdd.bindPopup(popup_84eb4ddc3045b43ab37a56e4ba3e429f)\n", + " circle_marker_36c484a88abed004036912785d42cb68.bindPopup(popup_af08ce9fe7cf95c4f5b92b24ef694e83)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a8b63ca77b40ed5efa16ae595deed40c = L.circleMarker(\n", + " var circle_marker_b8ab2f65fe17d0a2fcd10d9477bcc298 = L.circleMarker(\n", " [37.76375791326102, -122.41948996087152],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_91e77c28de71660c507e381a5873a98a = L.popup({"maxWidth": "100%"});\n", + " var popup_be9f2ba43b1186fd6f465c174356f831 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_565f8fec314e1a12e2afbdfe910810c9 = $(`<div id="html_565f8fec314e1a12e2afbdfe910810c9" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_91e77c28de71660c507e381a5873a98a.setContent(html_565f8fec314e1a12e2afbdfe910810c9);\n", + " var html_f94b938f5fd5cb0c040dd227f06bc3b6 = $(`<div id="html_f94b938f5fd5cb0c040dd227f06bc3b6" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_be9f2ba43b1186fd6f465c174356f831.setContent(html_f94b938f5fd5cb0c040dd227f06bc3b6);\n", " \n", "\n", - " circle_marker_a8b63ca77b40ed5efa16ae595deed40c.bindPopup(popup_91e77c28de71660c507e381a5873a98a)\n", + " circle_marker_b8ab2f65fe17d0a2fcd10d9477bcc298.bindPopup(popup_be9f2ba43b1186fd6f465c174356f831)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b4128759727ce408001b0692abc020bf = L.circleMarker(\n", + " var circle_marker_b4372b502f87f9600728bc89cdec0e95 = L.circleMarker(\n", " [37.757190231652636, -122.40901934781371],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_c3bed3e090dc34b9abf54a596755615a = L.popup({"maxWidth": "100%"});\n", + " var popup_78f2ebf2fd054a5a0e6adb371285ba51 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d8918accab263785e5443429dbed9a5f = $(`<div id="html_d8918accab263785e5443429dbed9a5f" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_c3bed3e090dc34b9abf54a596755615a.setContent(html_d8918accab263785e5443429dbed9a5f);\n", + " var html_548179564dd917fe9d75fed5a2818f94 = $(`<div id="html_548179564dd917fe9d75fed5a2818f94" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_78f2ebf2fd054a5a0e6adb371285ba51.setContent(html_548179564dd917fe9d75fed5a2818f94);\n", " \n", "\n", - " circle_marker_b4128759727ce408001b0692abc020bf.bindPopup(popup_c3bed3e090dc34b9abf54a596755615a)\n", + " circle_marker_b4372b502f87f9600728bc89cdec0e95.bindPopup(popup_78f2ebf2fd054a5a0e6adb371285ba51)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f121d28352016a37e3a8c111945f2946 = L.circleMarker(\n", + " var circle_marker_be9e39e49b1b6fb16d26b4374d41b372 = L.circleMarker(\n", " [37.7515671364096, -122.41446616923866],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_66729838babfb9e7f33c5b8961f22755 = L.popup({"maxWidth": "100%"});\n", + " var popup_2cc1f7aa92178bc0f47345045c67d1ce = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_a2c5309dc5c102096546f472ad3edcd0 = $(`<div id="html_a2c5309dc5c102096546f472ad3edcd0" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_66729838babfb9e7f33c5b8961f22755.setContent(html_a2c5309dc5c102096546f472ad3edcd0);\n", + " var html_ee4b8b89666775018eda7e6f9f98e8c5 = $(`<div id="html_ee4b8b89666775018eda7e6f9f98e8c5" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_2cc1f7aa92178bc0f47345045c67d1ce.setContent(html_ee4b8b89666775018eda7e6f9f98e8c5);\n", " \n", "\n", - " circle_marker_f121d28352016a37e3a8c111945f2946.bindPopup(popup_66729838babfb9e7f33c5b8961f22755)\n", + " circle_marker_be9e39e49b1b6fb16d26b4374d41b372.bindPopup(popup_2cc1f7aa92178bc0f47345045c67d1ce)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_bc16f663bd44a787d4520b96f6146e0a = L.circleMarker(\n", + " var circle_marker_f24b281096267cbefabb1e7f65c439ab = L.circleMarker(\n", " [37.75843991693097, -122.41145761273533],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_6a49a4f9bf11b9f0321139cf9122c68d = L.popup({"maxWidth": "100%"});\n", + " var popup_968bc8ffc881ee36b878e6e69362d65b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_15cd3db7854b1fbf33677d9726f8c0e6 = $(`<div id="html_15cd3db7854b1fbf33677d9726f8c0e6" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_6a49a4f9bf11b9f0321139cf9122c68d.setContent(html_15cd3db7854b1fbf33677d9726f8c0e6);\n", + " var html_630152d5afc8c714d9f0d175a8b06f66 = $(`<div id="html_630152d5afc8c714d9f0d175a8b06f66" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_968bc8ffc881ee36b878e6e69362d65b.setContent(html_630152d5afc8c714d9f0d175a8b06f66);\n", " \n", "\n", - " circle_marker_bc16f663bd44a787d4520b96f6146e0a.bindPopup(popup_6a49a4f9bf11b9f0321139cf9122c68d)\n", + " circle_marker_f24b281096267cbefabb1e7f65c439ab.bindPopup(popup_968bc8ffc881ee36b878e6e69362d65b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_76ec5ee0cae20859a03482ffdef8ca14 = L.circleMarker(\n", + " var circle_marker_82f44abfd69dc6a66519edd4756bff3a = L.circleMarker(\n", " [37.75163337537155, -122.42137810541736],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_2a1822050c007231f9b6bbe0045700f1 = L.popup({"maxWidth": "100%"});\n", + " var popup_a9880ea947bb0f398599197c8b82d16c = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_4210aa5b2c978d4931fb6310af613229 = $(`<div id="html_4210aa5b2c978d4931fb6310af613229" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_2a1822050c007231f9b6bbe0045700f1.setContent(html_4210aa5b2c978d4931fb6310af613229);\n", + " var html_888cb5e949358085ac8f8a42f7f92bbc = $(`<div id="html_888cb5e949358085ac8f8a42f7f92bbc" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_a9880ea947bb0f398599197c8b82d16c.setContent(html_888cb5e949358085ac8f8a42f7f92bbc);\n", " \n", "\n", - " circle_marker_76ec5ee0cae20859a03482ffdef8ca14.bindPopup(popup_2a1822050c007231f9b6bbe0045700f1)\n", + " circle_marker_82f44abfd69dc6a66519edd4756bff3a.bindPopup(popup_a9880ea947bb0f398599197c8b82d16c)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8781f719a538ec32ab7bb0c6d4841c16 = L.circleMarker(\n", + " var circle_marker_f6b9ec55a4f6fcba4764ac116ccbb482 = L.circleMarker(\n", " [37.764481854652736, -122.41993600982686],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_ca2c307ffcb2b1b153808dd5488364db = L.popup({"maxWidth": "100%"});\n", + " var popup_f366ede1f2effc6517b18e6a5c0bbe6c = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_7e5514b2b197bb9ae6ce9af41fffd27d = $(`<div id="html_7e5514b2b197bb9ae6ce9af41fffd27d" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_ca2c307ffcb2b1b153808dd5488364db.setContent(html_7e5514b2b197bb9ae6ce9af41fffd27d);\n", + " var html_d508a835f9b4926e96166aa4843b0a25 = $(`<div id="html_d508a835f9b4926e96166aa4843b0a25" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_f366ede1f2effc6517b18e6a5c0bbe6c.setContent(html_d508a835f9b4926e96166aa4843b0a25);\n", " \n", "\n", - " circle_marker_8781f719a538ec32ab7bb0c6d4841c16.bindPopup(popup_ca2c307ffcb2b1b153808dd5488364db)\n", + " circle_marker_f6b9ec55a4f6fcba4764ac116ccbb482.bindPopup(popup_f366ede1f2effc6517b18e6a5c0bbe6c)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_75a9034d25acdb344ee8638f9345671a = L.circleMarker(\n", + " var circle_marker_2a9041d0329ef7e8d4e9972277bd80ea = L.circleMarker(\n", " [37.76406227103009, -122.4226566332339],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_a7b33788c3078fab4ae4195f25c95b81 = L.popup({"maxWidth": "100%"});\n", + " var popup_7620d959318ad68bd1ac26976e9c736a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_44d1dda3741a0f02e3b818807406b92d = $(`<div id="html_44d1dda3741a0f02e3b818807406b92d" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_a7b33788c3078fab4ae4195f25c95b81.setContent(html_44d1dda3741a0f02e3b818807406b92d);\n", + " var html_63046343bee5fec5776dd3f11908c094 = $(`<div id="html_63046343bee5fec5776dd3f11908c094" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_7620d959318ad68bd1ac26976e9c736a.setContent(html_63046343bee5fec5776dd3f11908c094);\n", " \n", "\n", - " circle_marker_75a9034d25acdb344ee8638f9345671a.bindPopup(popup_a7b33788c3078fab4ae4195f25c95b81)\n", + " circle_marker_2a9041d0329ef7e8d4e9972277bd80ea.bindPopup(popup_7620d959318ad68bd1ac26976e9c736a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_327b041e0cbe8579b79c6d45f25696dc = L.circleMarker(\n", + " var circle_marker_8c9ca3c0d39017dcff279baa522a7c07 = L.circleMarker(\n", " [37.76149261428097, -122.41246627252544],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_105ecc63b1c620f66a6913cee93d3a3a = L.popup({"maxWidth": "100%"});\n", + " var popup_196bacbbb35ac500a3d704d923664f5f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_205ade3ec32076d2e7e1fd394361a239 = $(`<div id="html_205ade3ec32076d2e7e1fd394361a239" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_105ecc63b1c620f66a6913cee93d3a3a.setContent(html_205ade3ec32076d2e7e1fd394361a239);\n", + " var html_152daf8f59265d9387870c885593d92e = $(`<div id="html_152daf8f59265d9387870c885593d92e" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_196bacbbb35ac500a3d704d923664f5f.setContent(html_152daf8f59265d9387870c885593d92e);\n", " \n", "\n", - " circle_marker_327b041e0cbe8579b79c6d45f25696dc.bindPopup(popup_105ecc63b1c620f66a6913cee93d3a3a)\n", + " circle_marker_8c9ca3c0d39017dcff279baa522a7c07.bindPopup(popup_196bacbbb35ac500a3d704d923664f5f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2b44910dd38191b5ae792ff8ded3aa9c = L.circleMarker(\n", + " var circle_marker_b0c95539365cb34df40499d7b74938bf = L.circleMarker(\n", " [37.76062461888235, -122.42108957360912],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_b1d1e1e1164735ca7c9c47999dcf9c62 = L.popup({"maxWidth": "100%"});\n", + " var popup_331f2d03f85da844010a9491a7f88837 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_1ead1e1b7b2c4b2912e5823a8722b1ad = $(`<div id="html_1ead1e1b7b2c4b2912e5823a8722b1ad" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_b1d1e1e1164735ca7c9c47999dcf9c62.setContent(html_1ead1e1b7b2c4b2912e5823a8722b1ad);\n", + " var html_58e236399fb3e727a1f244168c1a7278 = $(`<div id="html_58e236399fb3e727a1f244168c1a7278" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_331f2d03f85da844010a9491a7f88837.setContent(html_58e236399fb3e727a1f244168c1a7278);\n", " \n", "\n", - " circle_marker_2b44910dd38191b5ae792ff8ded3aa9c.bindPopup(popup_b1d1e1e1164735ca7c9c47999dcf9c62)\n", + " circle_marker_b0c95539365cb34df40499d7b74938bf.bindPopup(popup_331f2d03f85da844010a9491a7f88837)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4a4cdf98ecc1b954be4e5085f3258564 = L.circleMarker(\n", + " var circle_marker_05aca058e1dccb23419b48174934fa75 = L.circleMarker(\n", " [37.75345065474162, -122.41586666626333],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_7cad291a00a24d3b8dd8137ae44531ea = L.popup({"maxWidth": "100%"});\n", + " var popup_dc4c2f0d6a84d7d753098f9667877981 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_0689dd919dd92902d68c3555f4487f8e = $(`<div id="html_0689dd919dd92902d68c3555f4487f8e" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_7cad291a00a24d3b8dd8137ae44531ea.setContent(html_0689dd919dd92902d68c3555f4487f8e);\n", + " var html_0bef83063f362cbedde104500fb5d83a = $(`<div id="html_0bef83063f362cbedde104500fb5d83a" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_dc4c2f0d6a84d7d753098f9667877981.setContent(html_0bef83063f362cbedde104500fb5d83a);\n", " \n", "\n", - " circle_marker_4a4cdf98ecc1b954be4e5085f3258564.bindPopup(popup_7cad291a00a24d3b8dd8137ae44531ea)\n", + " circle_marker_05aca058e1dccb23419b48174934fa75.bindPopup(popup_dc4c2f0d6a84d7d753098f9667877981)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_5f49346b3792b65b6a26be9d0273e41f = L.circleMarker(\n", + " var circle_marker_d35e649ef3e399192a3b54a42cbf6fdb = L.circleMarker(\n", " [37.761078335088655, -122.42607748635427],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_8bc7eb22a963ba35afaad82c0d9c8f2f = L.popup({"maxWidth": "100%"});\n", + " var popup_c29464ab3ed14c8f40b74b50339ddfd7 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_fc0d9c2e046ae4d778ba55dfa7318b7e = $(`<div id="html_fc0d9c2e046ae4d778ba55dfa7318b7e" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_8bc7eb22a963ba35afaad82c0d9c8f2f.setContent(html_fc0d9c2e046ae4d778ba55dfa7318b7e);\n", + " var html_8a2b24a32a62a6789a56b4a986c89755 = $(`<div id="html_8a2b24a32a62a6789a56b4a986c89755" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_c29464ab3ed14c8f40b74b50339ddfd7.setContent(html_8a2b24a32a62a6789a56b4a986c89755);\n", " \n", "\n", - " circle_marker_5f49346b3792b65b6a26be9d0273e41f.bindPopup(popup_8bc7eb22a963ba35afaad82c0d9c8f2f)\n", + " circle_marker_d35e649ef3e399192a3b54a42cbf6fdb.bindPopup(popup_c29464ab3ed14c8f40b74b50339ddfd7)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_0a12e0ea809aa7c441c11f6509f2aab4 = L.circleMarker(\n", + " var circle_marker_307232c0dfe63d4ec416cc7fcc455c1c = L.circleMarker(\n", " [37.750638766365256, -122.41783069338953],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_fc07f525cf152bc51fcfcead2882106f = L.popup({"maxWidth": "100%"});\n", + " var popup_3a782e380f50500631d85cb69eec0d8d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_26268cb9fa1f659ecfe1a9ce8ba10597 = $(`<div id="html_26268cb9fa1f659ecfe1a9ce8ba10597" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_fc07f525cf152bc51fcfcead2882106f.setContent(html_26268cb9fa1f659ecfe1a9ce8ba10597);\n", + " var html_8926b98812ea49526a4e04caaa496d71 = $(`<div id="html_8926b98812ea49526a4e04caaa496d71" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_3a782e380f50500631d85cb69eec0d8d.setContent(html_8926b98812ea49526a4e04caaa496d71);\n", " \n", "\n", - " circle_marker_0a12e0ea809aa7c441c11f6509f2aab4.bindPopup(popup_fc07f525cf152bc51fcfcead2882106f)\n", + " circle_marker_307232c0dfe63d4ec416cc7fcc455c1c.bindPopup(popup_3a782e380f50500631d85cb69eec0d8d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_8809466a08fd824508550940640904e7 = L.circleMarker(\n", + " var circle_marker_ab7ce8ae48a1859a69c12a42dc05e7de = L.circleMarker(\n", " [37.756449811909334, -122.40658575420164],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_9f14abd6274b840c7444749c01df0a97 = L.popup({"maxWidth": "100%"});\n", + " var popup_e1a93b2e557406e86eb507f4f7ce7a18 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_871fb32e879330f036d6258db39f2f73 = $(`<div id="html_871fb32e879330f036d6258db39f2f73" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_9f14abd6274b840c7444749c01df0a97.setContent(html_871fb32e879330f036d6258db39f2f73);\n", + " var html_786ffe7c3a5167298f112d26516553bf = $(`<div id="html_786ffe7c3a5167298f112d26516553bf" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_e1a93b2e557406e86eb507f4f7ce7a18.setContent(html_786ffe7c3a5167298f112d26516553bf);\n", " \n", "\n", - " circle_marker_8809466a08fd824508550940640904e7.bindPopup(popup_9f14abd6274b840c7444749c01df0a97)\n", + " circle_marker_ab7ce8ae48a1859a69c12a42dc05e7de.bindPopup(popup_e1a93b2e557406e86eb507f4f7ce7a18)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_419f35befdd0bc82248652fad16b4cdd = L.circleMarker(\n", + " var circle_marker_3ea3b75a951ef9d1bf1e1fbfbc8630b3 = L.circleMarker(\n", " [37.75537378026224, -122.41111606218875],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_9cbf6ce72e2c2f4ef6a44e2b14e7dd84 = L.popup({"maxWidth": "100%"});\n", + " var popup_f5f98155b144559a0c1ca4b5867ba44d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_863a27c384b358d595e9787751864c52 = $(`<div id="html_863a27c384b358d595e9787751864c52" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_9cbf6ce72e2c2f4ef6a44e2b14e7dd84.setContent(html_863a27c384b358d595e9787751864c52);\n", + " var html_47fc32f556251f28a3fb6860ce4a395f = $(`<div id="html_47fc32f556251f28a3fb6860ce4a395f" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_f5f98155b144559a0c1ca4b5867ba44d.setContent(html_47fc32f556251f28a3fb6860ce4a395f);\n", " \n", "\n", - " circle_marker_419f35befdd0bc82248652fad16b4cdd.bindPopup(popup_9cbf6ce72e2c2f4ef6a44e2b14e7dd84)\n", + " circle_marker_3ea3b75a951ef9d1bf1e1fbfbc8630b3.bindPopup(popup_f5f98155b144559a0c1ca4b5867ba44d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_70bd8692970e73f1152a9a8d3a53a129 = L.circleMarker(\n", + " var circle_marker_55f89d4c6d0a6d833336284586040771 = L.circleMarker(\n", " [37.75855610670547, -122.42394850602186],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_cde1133bd45a73ed89b696850b29be83 = L.popup({"maxWidth": "100%"});\n", + " var popup_b4a61413ce1ae07ff9f2bee4c5c230a4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_32d4ee9e103a9547ffef16724100a078 = $(`<div id="html_32d4ee9e103a9547ffef16724100a078" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_cde1133bd45a73ed89b696850b29be83.setContent(html_32d4ee9e103a9547ffef16724100a078);\n", + " var html_38331aeaf4287457d503af93a2906512 = $(`<div id="html_38331aeaf4287457d503af93a2906512" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_b4a61413ce1ae07ff9f2bee4c5c230a4.setContent(html_38331aeaf4287457d503af93a2906512);\n", " \n", "\n", - " circle_marker_70bd8692970e73f1152a9a8d3a53a129.bindPopup(popup_cde1133bd45a73ed89b696850b29be83)\n", + " circle_marker_55f89d4c6d0a6d833336284586040771.bindPopup(popup_b4a61413ce1ae07ff9f2bee4c5c230a4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_180b547341e1c864954f82885c5bacd2 = L.circleMarker(\n", + " var circle_marker_c2db7d686cf9d1460867bf5123b2a437 = L.circleMarker(\n", " [37.75817465417819, -122.40867766046134],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_568416549077c6e8b5f6a9f5c3b1d512 = L.popup({"maxWidth": "100%"});\n", + " var popup_634bec55e840f5073982ff6bdb5cbd36 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_1baec714a0c34dcedbec9b7e8da91fe5 = $(`<div id="html_1baec714a0c34dcedbec9b7e8da91fe5" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_568416549077c6e8b5f6a9f5c3b1d512.setContent(html_1baec714a0c34dcedbec9b7e8da91fe5);\n", + " var html_18a707a3f2bac567a44493f3e1ab7876 = $(`<div id="html_18a707a3f2bac567a44493f3e1ab7876" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_634bec55e840f5073982ff6bdb5cbd36.setContent(html_18a707a3f2bac567a44493f3e1ab7876);\n", " \n", "\n", - " circle_marker_180b547341e1c864954f82885c5bacd2.bindPopup(popup_568416549077c6e8b5f6a9f5c3b1d512)\n", + " circle_marker_c2db7d686cf9d1460867bf5123b2a437.bindPopup(popup_634bec55e840f5073982ff6bdb5cbd36)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_2e7aa5672e45aded51116d27dd092cfb = L.circleMarker(\n", + " var circle_marker_88ee6e2632c905321db02c28f97a104d = L.circleMarker(\n", " [37.76440867305686, -122.41381831239967],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_5faf39d41a1c3c0a226623976d818208 = L.popup({"maxWidth": "100%"});\n", + " var popup_038ba7d63acbb5a1be80666dba539dfd = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_66b3f5517ca289a6eb899cac8c7f4171 = $(`<div id="html_66b3f5517ca289a6eb899cac8c7f4171" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_5faf39d41a1c3c0a226623976d818208.setContent(html_66b3f5517ca289a6eb899cac8c7f4171);\n", + " var html_5a6465681d9d9b4473880b2444daec27 = $(`<div id="html_5a6465681d9d9b4473880b2444daec27" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_038ba7d63acbb5a1be80666dba539dfd.setContent(html_5a6465681d9d9b4473880b2444daec27);\n", " \n", "\n", - " circle_marker_2e7aa5672e45aded51116d27dd092cfb.bindPopup(popup_5faf39d41a1c3c0a226623976d818208)\n", + " circle_marker_88ee6e2632c905321db02c28f97a104d.bindPopup(popup_038ba7d63acbb5a1be80666dba539dfd)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b8200086040b42f58940fc5e4c2138f6 = L.circleMarker(\n", + " var circle_marker_51b20359a74763f9473018383990cf1a = L.circleMarker(\n", " [37.74901705715819, -122.41757863525594],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_a36b5c17aac5a7cb89c6af98922557cf = L.popup({"maxWidth": "100%"});\n", + " var popup_6a9e94b99a63b5037163deaca9daea8a = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d2932d16385ac5aa692a7079d2d63406 = $(`<div id="html_d2932d16385ac5aa692a7079d2d63406" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_a36b5c17aac5a7cb89c6af98922557cf.setContent(html_d2932d16385ac5aa692a7079d2d63406);\n", + " var html_ccb7fa991f6a61286690113b455c2904 = $(`<div id="html_ccb7fa991f6a61286690113b455c2904" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_6a9e94b99a63b5037163deaca9daea8a.setContent(html_ccb7fa991f6a61286690113b455c2904);\n", " \n", "\n", - " circle_marker_b8200086040b42f58940fc5e4c2138f6.bindPopup(popup_a36b5c17aac5a7cb89c6af98922557cf)\n", + " circle_marker_51b20359a74763f9473018383990cf1a.bindPopup(popup_6a9e94b99a63b5037163deaca9daea8a)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_54e6d23fe95291e85a94f277c80f8de6 = L.circleMarker(\n", + " var circle_marker_33c77532cfe6ac909c042043813f88b9 = L.circleMarker(\n", " [37.75488633070316, -122.41487544794536],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_57f526d78e977a9f8965bf35abe86cae = L.popup({"maxWidth": "100%"});\n", + " var popup_f3b1978cf8b470292e69da4260f634a3 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d91cc91d3157244e3d0127d23ed44edd = $(`<div id="html_d91cc91d3157244e3d0127d23ed44edd" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_57f526d78e977a9f8965bf35abe86cae.setContent(html_d91cc91d3157244e3d0127d23ed44edd);\n", + " var html_9a1f79b395516e56898eeaeacf01a007 = $(`<div id="html_9a1f79b395516e56898eeaeacf01a007" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_f3b1978cf8b470292e69da4260f634a3.setContent(html_9a1f79b395516e56898eeaeacf01a007);\n", " \n", "\n", - " circle_marker_54e6d23fe95291e85a94f277c80f8de6.bindPopup(popup_57f526d78e977a9f8965bf35abe86cae)\n", + " circle_marker_33c77532cfe6ac909c042043813f88b9.bindPopup(popup_f3b1978cf8b470292e69da4260f634a3)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_4c4d59df9c0df6539368768aed71a20c = L.circleMarker(\n", + " var circle_marker_5bbe4d39adef96dd24a273aa83ed6b9e = L.circleMarker(\n", " [37.764304983194315, -122.41854278041016],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_bbd5baf032a31d45b0b98ed378339d02 = L.popup({"maxWidth": "100%"});\n", + " var popup_e9fde23984cb277355a535064f9345fa = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_28ba80d23cc1bfc0ed335f067ad31122 = $(`<div id="html_28ba80d23cc1bfc0ed335f067ad31122" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_bbd5baf032a31d45b0b98ed378339d02.setContent(html_28ba80d23cc1bfc0ed335f067ad31122);\n", + " var html_1941cb5e3585eb2141546da3426c699d = $(`<div id="html_1941cb5e3585eb2141546da3426c699d" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_e9fde23984cb277355a535064f9345fa.setContent(html_1941cb5e3585eb2141546da3426c699d);\n", " \n", "\n", - " circle_marker_4c4d59df9c0df6539368768aed71a20c.bindPopup(popup_bbd5baf032a31d45b0b98ed378339d02)\n", + " circle_marker_5bbe4d39adef96dd24a273aa83ed6b9e.bindPopup(popup_e9fde23984cb277355a535064f9345fa)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_11031f54e8449641f32c2c5cbc13dd69 = L.circleMarker(\n", + " var circle_marker_e58bae8e6b4cd3bd0428480d5f8c96da = L.circleMarker(\n", " [37.76250964248838, -122.42379568293042],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_fd3f555007c2a0409d4360f6e07eab36 = L.popup({"maxWidth": "100%"});\n", + " var popup_60bdd3277586a3d00f1e86733f7df3e7 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_07bacbbdf0e014a7e1649dff93a079db = $(`<div id="html_07bacbbdf0e014a7e1649dff93a079db" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_fd3f555007c2a0409d4360f6e07eab36.setContent(html_07bacbbdf0e014a7e1649dff93a079db);\n", + " var html_19e69882e04ec1ede0c1d25eadcd2a09 = $(`<div id="html_19e69882e04ec1ede0c1d25eadcd2a09" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_60bdd3277586a3d00f1e86733f7df3e7.setContent(html_19e69882e04ec1ede0c1d25eadcd2a09);\n", " \n", "\n", - " circle_marker_11031f54e8449641f32c2c5cbc13dd69.bindPopup(popup_fd3f555007c2a0409d4360f6e07eab36)\n", + " circle_marker_e58bae8e6b4cd3bd0428480d5f8c96da.bindPopup(popup_60bdd3277586a3d00f1e86733f7df3e7)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_63fef2951fe5df115d152427c46eb6f1 = L.circleMarker(\n", + " var circle_marker_c8577314dc9b1c7b2229fb57ccc89c2f = L.circleMarker(\n", " [37.747198302368524, -122.41468049513983],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_3757b7406342f3773b85735bc4d5cf1d = L.popup({"maxWidth": "100%"});\n", + " var popup_a015346b8b98c959bc5c6368134e0164 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_13572809efbbb28c11abc3d17aabe6d2 = $(`<div id="html_13572809efbbb28c11abc3d17aabe6d2" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_3757b7406342f3773b85735bc4d5cf1d.setContent(html_13572809efbbb28c11abc3d17aabe6d2);\n", + " var html_94f55e815069ce2f21fe4b4d2f51a293 = $(`<div id="html_94f55e815069ce2f21fe4b4d2f51a293" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_a015346b8b98c959bc5c6368134e0164.setContent(html_94f55e815069ce2f21fe4b4d2f51a293);\n", " \n", "\n", - " circle_marker_63fef2951fe5df115d152427c46eb6f1.bindPopup(popup_3757b7406342f3773b85735bc4d5cf1d)\n", + " circle_marker_c8577314dc9b1c7b2229fb57ccc89c2f.bindPopup(popup_a015346b8b98c959bc5c6368134e0164)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ad57bf0037d97bfd1778fea86485bef1 = L.circleMarker(\n", + " var circle_marker_8290c75485e4bede1fa68fe4757e0f9d = L.circleMarker(\n", " [37.75333381902695, -122.40923776500622],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_618af926dd9a2625f80611be3f151694 = L.popup({"maxWidth": "100%"});\n", + " var popup_041b44694769126ac8e21340b3b03298 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_10bd70f126252fa593201f3f0713be96 = $(`<div id="html_10bd70f126252fa593201f3f0713be96" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_618af926dd9a2625f80611be3f151694.setContent(html_10bd70f126252fa593201f3f0713be96);\n", + " var html_ac5df8ae58c1c43475a03c7482984725 = $(`<div id="html_ac5df8ae58c1c43475a03c7482984725" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_041b44694769126ac8e21340b3b03298.setContent(html_ac5df8ae58c1c43475a03c7482984725);\n", " \n", "\n", - " circle_marker_ad57bf0037d97bfd1778fea86485bef1.bindPopup(popup_618af926dd9a2625f80611be3f151694)\n", + " circle_marker_8290c75485e4bede1fa68fe4757e0f9d.bindPopup(popup_041b44694769126ac8e21340b3b03298)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_b1d5fd5d4960964884864e3c9f45e73b = L.circleMarker(\n", + " var circle_marker_944b6ba42bb81cd163d5807d470c9b4b = L.circleMarker(\n", " [37.76439953782074, -122.40822541947725],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_9553b3ae111d0f3217a66248df9d375f = L.popup({"maxWidth": "100%"});\n", + " var popup_6aed0f2a35b5952cb6bf34ec2004d3c5 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_00fab13a5fb23b15621956cfee5cf7fb = $(`<div id="html_00fab13a5fb23b15621956cfee5cf7fb" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_9553b3ae111d0f3217a66248df9d375f.setContent(html_00fab13a5fb23b15621956cfee5cf7fb);\n", + " var html_dbc18fa3465cad56b57ebb7235609756 = $(`<div id="html_dbc18fa3465cad56b57ebb7235609756" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_6aed0f2a35b5952cb6bf34ec2004d3c5.setContent(html_dbc18fa3465cad56b57ebb7235609756);\n", " \n", "\n", - " circle_marker_b1d5fd5d4960964884864e3c9f45e73b.bindPopup(popup_9553b3ae111d0f3217a66248df9d375f)\n", + " circle_marker_944b6ba42bb81cd163d5807d470c9b4b.bindPopup(popup_6aed0f2a35b5952cb6bf34ec2004d3c5)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_a9f2cfbac35cba7d6f5a0d7dbba04cb5 = L.circleMarker(\n", + " var circle_marker_d9d3e218b5c036d95ed5dd7e25ade186 = L.circleMarker(\n", " [37.751790025694, -122.41686980413054],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_88cc6660bf5f454d2e81ec54558f0355 = L.popup({"maxWidth": "100%"});\n", + " var popup_3f99b84ab38d3e2f93ea8d37f48dc1cf = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_90b5b59bf3d0427e53d2812f6d514555 = $(`<div id="html_90b5b59bf3d0427e53d2812f6d514555" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_88cc6660bf5f454d2e81ec54558f0355.setContent(html_90b5b59bf3d0427e53d2812f6d514555);\n", + " var html_bd329cd78a901b8167348af9644bd144 = $(`<div id="html_bd329cd78a901b8167348af9644bd144" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_3f99b84ab38d3e2f93ea8d37f48dc1cf.setContent(html_bd329cd78a901b8167348af9644bd144);\n", " \n", "\n", - " circle_marker_a9f2cfbac35cba7d6f5a0d7dbba04cb5.bindPopup(popup_88cc6660bf5f454d2e81ec54558f0355)\n", + " circle_marker_d9d3e218b5c036d95ed5dd7e25ade186.bindPopup(popup_3f99b84ab38d3e2f93ea8d37f48dc1cf)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_eb5298d3ee8e0392704a2c2b8497412b = L.circleMarker(\n", + " var circle_marker_0fc5063a293c3af40856d5657eefb848 = L.circleMarker(\n", " [37.762676079668196, -122.40760247546336],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_7573112e14b226de3f2d909b2e6bc4bb = L.popup({"maxWidth": "100%"});\n", + " var popup_1bb6c1cb7c60bfda4d956dd161107859 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_7fb2dfe7a6c7f360c0a113be535e8122 = $(`<div id="html_7fb2dfe7a6c7f360c0a113be535e8122" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_7573112e14b226de3f2d909b2e6bc4bb.setContent(html_7fb2dfe7a6c7f360c0a113be535e8122);\n", + " var html_734c13810bcab5a40d2d74fa9056c51f = $(`<div id="html_734c13810bcab5a40d2d74fa9056c51f" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_1bb6c1cb7c60bfda4d956dd161107859.setContent(html_734c13810bcab5a40d2d74fa9056c51f);\n", " \n", "\n", - " circle_marker_eb5298d3ee8e0392704a2c2b8497412b.bindPopup(popup_7573112e14b226de3f2d909b2e6bc4bb)\n", + " circle_marker_0fc5063a293c3af40856d5657eefb848.bindPopup(popup_1bb6c1cb7c60bfda4d956dd161107859)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_cbd86a24ecbf6cfb3ab1c4243f8bde85 = L.circleMarker(\n", + " var circle_marker_ba554658c4e4701331556c8a64434598 = L.circleMarker(\n", " [37.760627863987054, -122.42196706998658],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_8189e1762a0bd4352fba166bd898a13c = L.popup({"maxWidth": "100%"});\n", + " var popup_8b8f2310b3a0907b302e9c70b36629d0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_e75affb78a55b9e1e9b17da6d014ba70 = $(`<div id="html_e75affb78a55b9e1e9b17da6d014ba70" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_8189e1762a0bd4352fba166bd898a13c.setContent(html_e75affb78a55b9e1e9b17da6d014ba70);\n", + " var html_4aa5ac77ce13827cf4bca17c17dcc82a = $(`<div id="html_4aa5ac77ce13827cf4bca17c17dcc82a" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_8b8f2310b3a0907b302e9c70b36629d0.setContent(html_4aa5ac77ce13827cf4bca17c17dcc82a);\n", " \n", "\n", - " circle_marker_cbd86a24ecbf6cfb3ab1c4243f8bde85.bindPopup(popup_8189e1762a0bd4352fba166bd898a13c)\n", + " circle_marker_ba554658c4e4701331556c8a64434598.bindPopup(popup_8b8f2310b3a0907b302e9c70b36629d0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_00fadcdaced0b53fb148fbf0a7b0a59c = L.circleMarker(\n", + " var circle_marker_c5b6c5b79fe89125784f014bece21b75 = L.circleMarker(\n", " [37.76337637245978, -122.41832341219747],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_4b5e9c7b3e67fe031409f8b06b3d7282 = L.popup({"maxWidth": "100%"});\n", + " var popup_c3191717eb1e102fb54f9b976bfa5f5d = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_28103ef9ce3f8d52cdeba5b60d6eb228 = $(`<div id="html_28103ef9ce3f8d52cdeba5b60d6eb228" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_4b5e9c7b3e67fe031409f8b06b3d7282.setContent(html_28103ef9ce3f8d52cdeba5b60d6eb228);\n", + " var html_c51dd079ea5b8cae04f3faaf468ff6fd = $(`<div id="html_c51dd079ea5b8cae04f3faaf468ff6fd" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_c3191717eb1e102fb54f9b976bfa5f5d.setContent(html_c51dd079ea5b8cae04f3faaf468ff6fd);\n", " \n", "\n", - " circle_marker_00fadcdaced0b53fb148fbf0a7b0a59c.bindPopup(popup_4b5e9c7b3e67fe031409f8b06b3d7282)\n", + " circle_marker_c5b6c5b79fe89125784f014bece21b75.bindPopup(popup_c3191717eb1e102fb54f9b976bfa5f5d)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_ee8f5b5370084573ecf07493a69938ff = L.circleMarker(\n", + " var circle_marker_6c0dfe532bde8a7adb76d45dfa6f3495 = L.circleMarker(\n", " [37.763924686918585, -122.42603224084327],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_3d74f1a57d3fb7ce6fbbb72aed780afb = L.popup({"maxWidth": "100%"});\n", + " var popup_f5dbe5b347216244efd744fcb2f7c86b = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_b32acb0eb934ec2478b1b27c329cb17d = $(`<div id="html_b32acb0eb934ec2478b1b27c329cb17d" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_3d74f1a57d3fb7ce6fbbb72aed780afb.setContent(html_b32acb0eb934ec2478b1b27c329cb17d);\n", + " var html_bc48304c4a5d9e3da7bb4d6315483a6f = $(`<div id="html_bc48304c4a5d9e3da7bb4d6315483a6f" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_f5dbe5b347216244efd744fcb2f7c86b.setContent(html_bc48304c4a5d9e3da7bb4d6315483a6f);\n", " \n", "\n", - " circle_marker_ee8f5b5370084573ecf07493a69938ff.bindPopup(popup_3d74f1a57d3fb7ce6fbbb72aed780afb)\n", + " circle_marker_6c0dfe532bde8a7adb76d45dfa6f3495.bindPopup(popup_f5dbe5b347216244efd744fcb2f7c86b)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e5b793559e213428b8229d2f3ed95a12 = L.circleMarker(\n", + " var circle_marker_03bf1ee03d64d3c4999cc791ecbaca3c = L.circleMarker(\n", " [37.7483419775086, -122.41225380452875],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_0061f7e0a79f8a9219f670bd47673902 = L.popup({"maxWidth": "100%"});\n", + " var popup_394e42d380844c9a99f9315105223d07 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_8f3c5a4180efb79e53860d72aaa474ac = $(`<div id="html_8f3c5a4180efb79e53860d72aaa474ac" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_0061f7e0a79f8a9219f670bd47673902.setContent(html_8f3c5a4180efb79e53860d72aaa474ac);\n", + " var html_90f4a3fb8e36e1caaf9efb53771c9de1 = $(`<div id="html_90f4a3fb8e36e1caaf9efb53771c9de1" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_394e42d380844c9a99f9315105223d07.setContent(html_90f4a3fb8e36e1caaf9efb53771c9de1);\n", " \n", "\n", - " circle_marker_e5b793559e213428b8229d2f3ed95a12.bindPopup(popup_0061f7e0a79f8a9219f670bd47673902)\n", + " circle_marker_03bf1ee03d64d3c4999cc791ecbaca3c.bindPopup(popup_394e42d380844c9a99f9315105223d07)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_74b6d2b1f52bd44980f989566e4c3b2d = L.circleMarker(\n", + " var circle_marker_2495845eae607e554e1bbf41b248e921 = L.circleMarker(\n", " [37.75423945656585, -122.42240830574532],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_5e6327bee16b6831be4931eda0bca5ff = L.popup({"maxWidth": "100%"});\n", + " var popup_f30369b469bea5dde1e0c01ea13a9815 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_68cd54418122b7a1113f391f09eaf483 = $(`<div id="html_68cd54418122b7a1113f391f09eaf483" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_5e6327bee16b6831be4931eda0bca5ff.setContent(html_68cd54418122b7a1113f391f09eaf483);\n", + " var html_121a3bd6dca83b7e0690cfa1674e6fe2 = $(`<div id="html_121a3bd6dca83b7e0690cfa1674e6fe2" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_f30369b469bea5dde1e0c01ea13a9815.setContent(html_121a3bd6dca83b7e0690cfa1674e6fe2);\n", " \n", "\n", - " circle_marker_74b6d2b1f52bd44980f989566e4c3b2d.bindPopup(popup_5e6327bee16b6831be4931eda0bca5ff)\n", + " circle_marker_2495845eae607e554e1bbf41b248e921.bindPopup(popup_f30369b469bea5dde1e0c01ea13a9815)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_60b23b9a1bd0a23265db8a7b0268b5a4 = L.circleMarker(\n", + " var circle_marker_035173d714caf4f4bdddce411227c618 = L.circleMarker(\n", " [37.75435434305817, -122.42228960924437],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_fa011c688bd47cc4c1cd810fa3ecacd8 = L.popup({"maxWidth": "100%"});\n", + " var popup_79e2474383e3ae681b5d3ba9a904eaf8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_914c8a9328cc17be2267558e7aa4a0c4 = $(`<div id="html_914c8a9328cc17be2267558e7aa4a0c4" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_fa011c688bd47cc4c1cd810fa3ecacd8.setContent(html_914c8a9328cc17be2267558e7aa4a0c4);\n", + " var html_89f23df0571968a07c2a9cc5af4e0467 = $(`<div id="html_89f23df0571968a07c2a9cc5af4e0467" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_79e2474383e3ae681b5d3ba9a904eaf8.setContent(html_89f23df0571968a07c2a9cc5af4e0467);\n", " \n", "\n", - " circle_marker_60b23b9a1bd0a23265db8a7b0268b5a4.bindPopup(popup_fa011c688bd47cc4c1cd810fa3ecacd8)\n", + " circle_marker_035173d714caf4f4bdddce411227c618.bindPopup(popup_79e2474383e3ae681b5d3ba9a904eaf8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_34a5923ce46d06c5e953723fb52ae355 = L.circleMarker(\n", + " var circle_marker_a0c8f54ecafda40905ad964f86b146d4 = L.circleMarker(\n", " [37.759929842009704, -122.41936389765623],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_0a2d13223c110eee7da8a7ff298841bc = L.popup({"maxWidth": "100%"});\n", + " var popup_d615ebe81a92384c9a2eea4b8da9a996 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_aab6ee155807b26040cbd240a0cc82ee = $(`<div id="html_aab6ee155807b26040cbd240a0cc82ee" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_0a2d13223c110eee7da8a7ff298841bc.setContent(html_aab6ee155807b26040cbd240a0cc82ee);\n", + " var html_1e5d13bcaed6bdd9d4851203f20cd088 = $(`<div id="html_1e5d13bcaed6bdd9d4851203f20cd088" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_d615ebe81a92384c9a2eea4b8da9a996.setContent(html_1e5d13bcaed6bdd9d4851203f20cd088);\n", " \n", "\n", - " circle_marker_34a5923ce46d06c5e953723fb52ae355.bindPopup(popup_0a2d13223c110eee7da8a7ff298841bc)\n", + " circle_marker_a0c8f54ecafda40905ad964f86b146d4.bindPopup(popup_d615ebe81a92384c9a2eea4b8da9a996)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_28aeb671ef3e67c8958145523dac1619 = L.circleMarker(\n", + " var circle_marker_a40c1aa2556a54d9e220060946a26844 = L.circleMarker(\n", " [37.76530111041392, -122.40775071665323],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_5a7f475a294637b096c09e82f29932fd = L.popup({"maxWidth": "100%"});\n", + " var popup_aa6149d25cc084e43df089d1b1dc5a98 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_7db950b36c53c2e03937ade391c599dd = $(`<div id="html_7db950b36c53c2e03937ade391c599dd" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_5a7f475a294637b096c09e82f29932fd.setContent(html_7db950b36c53c2e03937ade391c599dd);\n", + " var html_621acb5c93563ee5e5f483aa3edb910a = $(`<div id="html_621acb5c93563ee5e5f483aa3edb910a" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_aa6149d25cc084e43df089d1b1dc5a98.setContent(html_621acb5c93563ee5e5f483aa3edb910a);\n", " \n", "\n", - " circle_marker_28aeb671ef3e67c8958145523dac1619.bindPopup(popup_5a7f475a294637b096c09e82f29932fd)\n", + " circle_marker_a40c1aa2556a54d9e220060946a26844.bindPopup(popup_aa6149d25cc084e43df089d1b1dc5a98)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_00dbfd0de35ed0724b4085dd6c2b4fc5 = L.circleMarker(\n", + " var circle_marker_1d97670fdbe185689d55fc79d00c7509 = L.circleMarker(\n", " [37.761747153832005, -122.4099039982627],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_7e9c1e2cb25f3f3689e44f65955dd68a = L.popup({"maxWidth": "100%"});\n", + " var popup_48f17b2c508b838ee435fbd0f72db3a8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_7d3372301ab24ce68bb3dc1526acce30 = $(`<div id="html_7d3372301ab24ce68bb3dc1526acce30" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_7e9c1e2cb25f3f3689e44f65955dd68a.setContent(html_7d3372301ab24ce68bb3dc1526acce30);\n", + " var html_6b8dea2feda5ccc921e9818ff47b96fa = $(`<div id="html_6b8dea2feda5ccc921e9818ff47b96fa" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_48f17b2c508b838ee435fbd0f72db3a8.setContent(html_6b8dea2feda5ccc921e9818ff47b96fa);\n", " \n", "\n", - " circle_marker_00dbfd0de35ed0724b4085dd6c2b4fc5.bindPopup(popup_7e9c1e2cb25f3f3689e44f65955dd68a)\n", + " circle_marker_1d97670fdbe185689d55fc79d00c7509.bindPopup(popup_48f17b2c508b838ee435fbd0f72db3a8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_557ef168fb6eda0dd997dcd4eb8662c0 = L.circleMarker(\n", + " var circle_marker_f1b6f0cd18f98e93f9a2906821927d6f = L.circleMarker(\n", " [37.75719450024423, -122.41901248673905],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_ee5850cc195af9c09ec304b052c34eea = L.popup({"maxWidth": "100%"});\n", + " var popup_a42fbd2fce54e453b9d083e3a54c30c4 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f3740480164fe1e8421fbc7b0befba02 = $(`<div id="html_f3740480164fe1e8421fbc7b0befba02" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_ee5850cc195af9c09ec304b052c34eea.setContent(html_f3740480164fe1e8421fbc7b0befba02);\n", + " var html_86b94981fa131ee5c354ee6935afcfb6 = $(`<div id="html_86b94981fa131ee5c354ee6935afcfb6" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_a42fbd2fce54e453b9d083e3a54c30c4.setContent(html_86b94981fa131ee5c354ee6935afcfb6);\n", " \n", "\n", - " circle_marker_557ef168fb6eda0dd997dcd4eb8662c0.bindPopup(popup_ee5850cc195af9c09ec304b052c34eea)\n", + " circle_marker_f1b6f0cd18f98e93f9a2906821927d6f.bindPopup(popup_a42fbd2fce54e453b9d083e3a54c30c4)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_559f4caa2889e2921d8054b0e06e501e = L.circleMarker(\n", + " var circle_marker_1c3c262496bbfcd4c33f625b723f51e0 = L.circleMarker(\n", " [37.763831603122455, -122.41573893502441],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_f07bb860a3d864cacfc4d33de71fcb4b = L.popup({"maxWidth": "100%"});\n", + " var popup_85599b7ac620e6ec4cf94b70f1363ebf = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_7a5d34649a589eade583d75b30076b66 = $(`<div id="html_7a5d34649a589eade583d75b30076b66" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_f07bb860a3d864cacfc4d33de71fcb4b.setContent(html_7a5d34649a589eade583d75b30076b66);\n", + " var html_51d03e52b05a2ed583b1a66ad3123768 = $(`<div id="html_51d03e52b05a2ed583b1a66ad3123768" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_85599b7ac620e6ec4cf94b70f1363ebf.setContent(html_51d03e52b05a2ed583b1a66ad3123768);\n", " \n", "\n", - " circle_marker_559f4caa2889e2921d8054b0e06e501e.bindPopup(popup_f07bb860a3d864cacfc4d33de71fcb4b)\n", + " circle_marker_1c3c262496bbfcd4c33f625b723f51e0.bindPopup(popup_85599b7ac620e6ec4cf94b70f1363ebf)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1510052c103ddbfa6f3bf0a5dd3de8b1 = L.circleMarker(\n", + " var circle_marker_c47f203ad48dfe1c58a2421a4bb5d3ad = L.circleMarker(\n", " [37.761252927558274, -122.41237555483644],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_20c443b3b44e44aff5740d215bcdaccb = L.popup({"maxWidth": "100%"});\n", + " var popup_4d6315e4968f29bf49168bc3a5ce27af = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_3e3181d07ef7d7f870bcc888ddfd9465 = $(`<div id="html_3e3181d07ef7d7f870bcc888ddfd9465" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_20c443b3b44e44aff5740d215bcdaccb.setContent(html_3e3181d07ef7d7f870bcc888ddfd9465);\n", + " var html_1d26e2123e2934c690315ae8a6bf2ce7 = $(`<div id="html_1d26e2123e2934c690315ae8a6bf2ce7" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_4d6315e4968f29bf49168bc3a5ce27af.setContent(html_1d26e2123e2934c690315ae8a6bf2ce7);\n", " \n", "\n", - " circle_marker_1510052c103ddbfa6f3bf0a5dd3de8b1.bindPopup(popup_20c443b3b44e44aff5740d215bcdaccb)\n", + " circle_marker_c47f203ad48dfe1c58a2421a4bb5d3ad.bindPopup(popup_4d6315e4968f29bf49168bc3a5ce27af)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_be28c46956d489bc757ad9d60cad9521 = L.circleMarker(\n", + " var circle_marker_f0f31201fd393643f6f49254b109b1d1 = L.circleMarker(\n", " [37.75726219498988, -122.40455000117886],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_5d66352e14c72c80201ff52525425ecc = L.popup({"maxWidth": "100%"});\n", + " var popup_cc2e935366ffb0860f6cff57c7bfca47 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_1f599bb7a37fd43dac3027126ead69ad = $(`<div id="html_1f599bb7a37fd43dac3027126ead69ad" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_5d66352e14c72c80201ff52525425ecc.setContent(html_1f599bb7a37fd43dac3027126ead69ad);\n", + " var html_531c03b4ec6ba41cec43a0207ca600c2 = $(`<div id="html_531c03b4ec6ba41cec43a0207ca600c2" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_cc2e935366ffb0860f6cff57c7bfca47.setContent(html_531c03b4ec6ba41cec43a0207ca600c2);\n", " \n", "\n", - " circle_marker_be28c46956d489bc757ad9d60cad9521.bindPopup(popup_5d66352e14c72c80201ff52525425ecc)\n", + " circle_marker_f0f31201fd393643f6f49254b109b1d1.bindPopup(popup_cc2e935366ffb0860f6cff57c7bfca47)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_f5e84526efc6fe92d5a07ca8905433ef = L.circleMarker(\n", + " var circle_marker_6d920164de5b9334291b328df3ee00c5 = L.circleMarker(\n", " [37.76470088472506, -122.41069965976091],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_405fa003c33a7e9a2fe0a786931d45bf = L.popup({"maxWidth": "100%"});\n", + " var popup_af6f24f241577f74abc8b0324e76b5cd = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ec62fe0caf75771ad09f1a585580f179 = $(`<div id="html_ec62fe0caf75771ad09f1a585580f179" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_405fa003c33a7e9a2fe0a786931d45bf.setContent(html_ec62fe0caf75771ad09f1a585580f179);\n", + " var html_c398b5f7d426ace9dab259a873eaca13 = $(`<div id="html_c398b5f7d426ace9dab259a873eaca13" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_af6f24f241577f74abc8b0324e76b5cd.setContent(html_c398b5f7d426ace9dab259a873eaca13);\n", " \n", "\n", - " circle_marker_f5e84526efc6fe92d5a07ca8905433ef.bindPopup(popup_405fa003c33a7e9a2fe0a786931d45bf)\n", + " circle_marker_6d920164de5b9334291b328df3ee00c5.bindPopup(popup_af6f24f241577f74abc8b0324e76b5cd)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_d30752f3c3e54e6943ab026d2b1bd004 = L.circleMarker(\n", + " var circle_marker_494eb7f7e1ef56a80df992152614dc51 = L.circleMarker(\n", " [37.7622151757651, -122.41879495724017],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_1a1d0b76e9661431a14dd76f1ed078f3 = L.popup({"maxWidth": "100%"});\n", + " var popup_db1c88cd60dd7eeab163a3f563b127c0 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_f0b3d113a4f03e416a139e7ea99f1a2a = $(`<div id="html_f0b3d113a4f03e416a139e7ea99f1a2a" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_1a1d0b76e9661431a14dd76f1ed078f3.setContent(html_f0b3d113a4f03e416a139e7ea99f1a2a);\n", + " var html_6e76f6d8931d656850ed7ce3b88ae55e = $(`<div id="html_6e76f6d8931d656850ed7ce3b88ae55e" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_db1c88cd60dd7eeab163a3f563b127c0.setContent(html_6e76f6d8931d656850ed7ce3b88ae55e);\n", " \n", "\n", - " circle_marker_d30752f3c3e54e6943ab026d2b1bd004.bindPopup(popup_1a1d0b76e9661431a14dd76f1ed078f3)\n", + " circle_marker_494eb7f7e1ef56a80df992152614dc51.bindPopup(popup_db1c88cd60dd7eeab163a3f563b127c0)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_1804573c5e03c09cf91aeb931a1ffe16 = L.circleMarker(\n", + " var circle_marker_ae4366c834f573676b61b7e66076cfad = L.circleMarker(\n", " [37.75183270738175, -122.42155460884847],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_307de4bf59eb800ec702ef35b5cb11fc = L.popup({"maxWidth": "100%"});\n", + " var popup_f68303be5f80c926a1ecce0966192eb2 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_d8eae8f6f360d8814239d377ed3a1591 = $(`<div id="html_d8eae8f6f360d8814239d377ed3a1591" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_307de4bf59eb800ec702ef35b5cb11fc.setContent(html_d8eae8f6f360d8814239d377ed3a1591);\n", + " var html_7658cd97fdecb57fcc72a211039bbda2 = $(`<div id="html_7658cd97fdecb57fcc72a211039bbda2" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_f68303be5f80c926a1ecce0966192eb2.setContent(html_7658cd97fdecb57fcc72a211039bbda2);\n", " \n", "\n", - " circle_marker_1804573c5e03c09cf91aeb931a1ffe16.bindPopup(popup_307de4bf59eb800ec702ef35b5cb11fc)\n", + " circle_marker_ae4366c834f573676b61b7e66076cfad.bindPopup(popup_f68303be5f80c926a1ecce0966192eb2)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_e634c91bcb74db284b1fb7ef3de799a1 = L.circleMarker(\n", + " var circle_marker_81c06a3cc52006b6e24e4dc440830939 = L.circleMarker(\n", " [37.75725637834527, -122.41516185537776],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_aa9ad07262a63caa4526cff3ca65a84a = L.popup({"maxWidth": "100%"});\n", + " var popup_24d3acc455cffdc7c4bda695e40c1ec1 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_4548dab7cde33a4bb6d7a03393ccce4e = $(`<div id="html_4548dab7cde33a4bb6d7a03393ccce4e" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_aa9ad07262a63caa4526cff3ca65a84a.setContent(html_4548dab7cde33a4bb6d7a03393ccce4e);\n", + " var html_2a101d0b875647335bffd2f2c4138134 = $(`<div id="html_2a101d0b875647335bffd2f2c4138134" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_24d3acc455cffdc7c4bda695e40c1ec1.setContent(html_2a101d0b875647335bffd2f2c4138134);\n", " \n", "\n", - " circle_marker_e634c91bcb74db284b1fb7ef3de799a1.bindPopup(popup_aa9ad07262a63caa4526cff3ca65a84a)\n", + " circle_marker_81c06a3cc52006b6e24e4dc440830939.bindPopup(popup_24d3acc455cffdc7c4bda695e40c1ec1)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_da9cce2c7d279973f62d2d8e170c3cb3 = L.circleMarker(\n", + " var circle_marker_128fb43e9fbb7011767e16b9cdbc301f = L.circleMarker(\n", " [37.76320058943922, -122.42005488320424],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_11e51b54eaa210c451a1468ece90cfa6 = L.popup({"maxWidth": "100%"});\n", + " var popup_0103c1d386489c6076e01b9fa7df2fa2 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ae88e16883acc4c709f0418080be3a44 = $(`<div id="html_ae88e16883acc4c709f0418080be3a44" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_11e51b54eaa210c451a1468ece90cfa6.setContent(html_ae88e16883acc4c709f0418080be3a44);\n", + " var html_230e892851eac3b47aba1107d972651c = $(`<div id="html_230e892851eac3b47aba1107d972651c" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_0103c1d386489c6076e01b9fa7df2fa2.setContent(html_230e892851eac3b47aba1107d972651c);\n", " \n", "\n", - " circle_marker_da9cce2c7d279973f62d2d8e170c3cb3.bindPopup(popup_11e51b54eaa210c451a1468ece90cfa6)\n", + " circle_marker_128fb43e9fbb7011767e16b9cdbc301f.bindPopup(popup_0103c1d386489c6076e01b9fa7df2fa2)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_3ea1894bac1a721df01a48aeda852b3c = L.circleMarker(\n", + " var circle_marker_455cd90997899ff87f3b016e5c89fee5 = L.circleMarker(\n", " [37.754856259950174, -122.40966406763532],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_d1ec92cc38785fba476a1507c539900e = L.popup({"maxWidth": "100%"});\n", + " var popup_c724dce9624664d998f82defe7390473 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_5953a05984c4556b61cb139f71ea9137 = $(`<div id="html_5953a05984c4556b61cb139f71ea9137" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_d1ec92cc38785fba476a1507c539900e.setContent(html_5953a05984c4556b61cb139f71ea9137);\n", + " var html_8a457b8ad0726eb6b3a00343ef85add4 = $(`<div id="html_8a457b8ad0726eb6b3a00343ef85add4" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_c724dce9624664d998f82defe7390473.setContent(html_8a457b8ad0726eb6b3a00343ef85add4);\n", " \n", "\n", - " circle_marker_3ea1894bac1a721df01a48aeda852b3c.bindPopup(popup_d1ec92cc38785fba476a1507c539900e)\n", + " circle_marker_455cd90997899ff87f3b016e5c89fee5.bindPopup(popup_c724dce9624664d998f82defe7390473)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_c4603783b409f467f318e3902a19c2d7 = L.circleMarker(\n", + " var circle_marker_06686df5e05568577e260b2c75270584 = L.circleMarker(\n", " [37.75588417673643, -122.41267234354358],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_f383c0e37ce7fed447e9abddcd6fdbf1 = L.popup({"maxWidth": "100%"});\n", + " var popup_1063d988d0bb764fcdee7ec3de45a8dc = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_ed0fb291351c3ceca5796996b81eaddd = $(`<div id="html_ed0fb291351c3ceca5796996b81eaddd" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_f383c0e37ce7fed447e9abddcd6fdbf1.setContent(html_ed0fb291351c3ceca5796996b81eaddd);\n", + " var html_b15c1fee77fce6bc77910ec5be2a92c5 = $(`<div id="html_b15c1fee77fce6bc77910ec5be2a92c5" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_1063d988d0bb764fcdee7ec3de45a8dc.setContent(html_b15c1fee77fce6bc77910ec5be2a92c5);\n", " \n", "\n", - " circle_marker_c4603783b409f467f318e3902a19c2d7.bindPopup(popup_f383c0e37ce7fed447e9abddcd6fdbf1)\n", + " circle_marker_06686df5e05568577e260b2c75270584.bindPopup(popup_1063d988d0bb764fcdee7ec3de45a8dc)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_cf7ad6aefe680c179c41960b2a696102 = L.circleMarker(\n", + " var circle_marker_5897a38e7ce7cb47b79fe1d8cd145941 = L.circleMarker(\n", " [37.761662032164296, -122.41129594712292],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_a352806f673b1ebfc7751364b7572a1d = L.popup({"maxWidth": "100%"});\n", + " var popup_41054effca72a7ae60940aa93c4a08d8 = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_617c12e0adb07af1b07f6b973d82164f = $(`<div id="html_617c12e0adb07af1b07f6b973d82164f" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_a352806f673b1ebfc7751364b7572a1d.setContent(html_617c12e0adb07af1b07f6b973d82164f);\n", + " var html_19cefb8378c474eba3d98aec2c260163 = $(`<div id="html_19cefb8378c474eba3d98aec2c260163" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_41054effca72a7ae60940aa93c4a08d8.setContent(html_19cefb8378c474eba3d98aec2c260163);\n", " \n", "\n", - " circle_marker_cf7ad6aefe680c179c41960b2a696102.bindPopup(popup_a352806f673b1ebfc7751364b7572a1d)\n", + " circle_marker_5897a38e7ce7cb47b79fe1d8cd145941.bindPopup(popup_41054effca72a7ae60940aa93c4a08d8)\n", " ;\n", "\n", " \n", " \n", " \n", - " var circle_marker_90f1314759f552fe03df2425f4f5cc3a = L.circleMarker(\n", + " var circle_marker_d71c7678192f72a6fef62ba7ccc2d53e = L.circleMarker(\n", " [37.7631304733426, -122.41501959094464],\n", " {"bubblingMouseEvents": true, "color": "darkgoldenrod", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "darkgoldenrod", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}\n", - " ).addTo(feature_group_07d204172479c7c97eb3580bde407b00);\n", + " ).addTo(feature_group_e4d0d592c715910b0e50335b3e4f1345);\n", " \n", " \n", - " var popup_aa68454c27bdc333f6bc0a12835bbc45 = L.popup({"maxWidth": "100%"});\n", + " var popup_d3bc998b181e8bcca6c341d89901240f = L.popup({"maxWidth": "100%"});\n", "\n", " \n", - " var html_5b47e89a3ed4f269eab94f45ff4baa55 = $(`<div id="html_5b47e89a3ed4f269eab94f45ff4baa55" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", - " popup_aa68454c27bdc333f6bc0a12835bbc45.setContent(html_5b47e89a3ed4f269eab94f45ff4baa55);\n", + " var html_f8d6684c43f7e5c93f139ccd1dc00a5c = $(`<div id="html_f8d6684c43f7e5c93f139ccd1dc00a5c" style="width: 100.0%; height: 100.0%;">Household</div>`)[0];\n", + " popup_d3bc998b181e8bcca6c341d89901240f.setContent(html_f8d6684c43f7e5c93f139ccd1dc00a5c);\n", " \n", "\n", - " circle_marker_90f1314759f552fe03df2425f4f5cc3a.bindPopup(popup_aa68454c27bdc333f6bc0a12835bbc45)\n", + " circle_marker_d71c7678192f72a6fef62ba7ccc2d53e.bindPopup(popup_d3bc998b181e8bcca6c341d89901240f)\n", " ;\n", "\n", " \n", " \n", " \n", - " var layer_control_778079373b0958702ea0cb45f4fdde88 = {\n", + " var layer_control_bcec6d31926db2af668ab3d5ce906274 = {\n", " base_layers : {\n", - " "cartodbpositron" : tile_layer_084da3d2f831ad43d59e0c9becd7135d,\n", + " "cartodbpositron" : tile_layer_d89f84fb45e7a557f8aa6b8ea731b1f9,\n", " },\n", " overlays : {\n", - " "Mission District \\u0026 Bernal Heights" : geo_json_d720ea642bf60f5df1b931aa12839266,\n", - " "Households" : feature_group_599901bd05ba2c8658a21f7f4add54f4,\n", - " "Restaurants" : feature_group_fd783039ef0b2cdb99465bd8f855b3c6,\n", - " "Sited Restaurants" : feature_group_596f91858b216a39a5de29f9242f0d5a,\n", - " "Allocated Households" : feature_group_07d204172479c7c97eb3580bde407b00,\n", + " "Mission District \\u0026 Bernal Heights" : geo_json_8ec1c0573930baf88e472fa28ee3369f,\n", + " "Households" : feature_group_e1f9d57d307450d45b11851a79957446,\n", + " "Restaurants" : feature_group_0489a3806a7a1a805a2cd255cc8eb483,\n", + " "Sited Restaurants" : feature_group_a1f780a0deb2c9708cd6dd1abf4e65a4,\n", + " "Allocated Households" : feature_group_e4d0d592c715910b0e50335b3e4f1345,\n", " },\n", " };\n", " L.control.layers(\n", - " layer_control_778079373b0958702ea0cb45f4fdde88.base_layers,\n", - " layer_control_778079373b0958702ea0cb45f4fdde88.overlays,\n", + " layer_control_bcec6d31926db2af668ab3d5ce906274.base_layers,\n", + " layer_control_bcec6d31926db2af668ab3d5ce906274.overlays,\n", " {"autoZIndex": true, "collapsed": true, "position": "topright"}\n", - " ).addTo(map_078fe1f28c1dfced6cae424d24908b23);\n", + " ).addTo(map_e5aa3b96114c9a9495cee09af10a3bc5);\n", " \n", "</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen>" ], "text/plain": [ - "" + "" ] }, "execution_count": 15, @@ -16042,7 +16041,7 @@ " location=[restaurants[i][1], restaurants[i][0]],\n", " radius=30,\n", " fill=True,\n", - " popup=folium.Popup(\"Sited Restaurant\", show=True),\n", + " popup=folium.Popup(f\"Sited Restaurant ({i})\", show=True),\n", " color=colors[i],\n", " ).add_to(sited_restaurants_fg)\n", " solution[i] = []\n", @@ -16073,8 +16072,8 @@ "id": "25869602", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T23:53:06.974761Z", - "start_time": "2022-10-29T23:53:06.966820Z" + "end_time": "2022-10-31T13:24:22.036802Z", + "start_time": "2022-10-31T13:24:22.027445Z" } }, "outputs": [ diff --git a/notebooks/p-center.ipynb b/notebooks/p-center.ipynb index 3a22789a..4ea3789b 100644 --- a/notebooks/p-center.ipynb +++ b/notebooks/p-center.ipynb @@ -15,31 +15,30 @@ "Hakimi (1964) introduced the absolute center problem to locate a police station or a hospital such that the maximum distance of the station to a set of communities connected by a highway system is minimized. Hakimi (1965) generalizes the absolute center problem to the $p$-center problem. Given a set $X_p=\\{x_1,\\ldots,x_p\\}$ of $p$ points in graph $G$, the distance $d(X_p, v_j)$ between $X_p$ and node $v_j$ is computed as $\\min_{i=1,\\ldots,n}{w_jd(v_j, X_p)}$. Daskin (2013) proposed a Mixed Integer Programming formulation to discretize the $p$-center problem written as:\n", "\n", "$\\begin{array} \\displaystyle \\textbf{Minimize} & W && (1)\\\\\n", - "\\displaystyle \\textbf{Subject to:} & \\sum_{j}{y_{ij} = 1} & \\forall i & (2) \\\\\n", - " & \\sum_{j}{x_{j} = p} && (3) \\\\\n", - " & y_{ij} \\leq x_{j} & \\forall i,j & (4) \\\\\n", - " & W \\geq \\sum_{j}{d_{ij}y_{ij}} & \\forall i & (5)\\\\\n", - " & x_{j} \\in \\{0,1\\} & \\forall j & (6) \\\\ \n", - " & y_{ij} \\geq 0 & \\forall i,j & (7)\\\\\n", + "\\displaystyle \\textbf{Subject to:} & \\sum_{j}{X_{ij} = 1} & \\forall i & (2) \\\\\n", + " & \\sum_{j}{Y_{j} = p} && (3) \\\\\n", + " & X_{ij} \\leq Y_{j} & \\forall i,j & (4) \\\\\n", + " & W \\geq \\sum_{j}{d_{ij}X_{ij}} & \\forall i & (5)\\\\\n", + " & Y_{j} \\in \\{0,1\\} & \\forall j & (6) \\\\ \n", + " & X_{ij} \\geq 0 & \\forall i,j & (7)\\\\\n", " \\end{array}$\n", "\n", "$\\begin{array} \\displaystyle \\textbf{Where:}\\\\ & & \\displaystyle i & \\small = & \\textrm{index referencing nodes of the network as demand} \\\\\n", "& & j & \\small = & \\textrm{index referencing nodes of the network as potential facility sites} \\\\\n", "& & d_{ij} & \\small = & \\textrm{shortest distance or travel time between nodes } i \\textrm{ and } j \\\\\n", "& & p & \\small = & \\textrm{number of facilities to be located} \\\\\n", - "& & x_j & \\small = & \\begin{cases} \n", + "& & Y_j & \\small = & \\begin{cases} \n", " 1, \\text{if locate at candidate site } j \\\\\n", " 0, \\text{otherwise} \\\\\n", " \\end{cases} \\\\\n", - "& & y_{ij} & \\small = & \\textrm{fraction of demand at node } i \\textrm{ that is served by a facility at node } j \\\\\n", + "& & X_{ij} & \\small = & \\textrm{fraction of demand at node } i \\textrm{ that is served by a facility at node } j \\\\\n", "& & W & \\small = & \\textrm{maximum distance between a demand node and the nearest facility} \\\\\n", "\\end{array}$\n", "\n", "This tutorial generates synthetic demand (clients) and facility sites near a 10x10 lattice representing a gridded urban core. Three $p$-center instances are solved while varying parameters:\n", "* `PCenter.from_cost_matrix()` with network distance as the metric\n", "* `PCenter.from_geodataframe()` with euclidean distance as the metric\n", - "* ~~`PCenter.from_geodataframe()` with predefined facility locations and euclidean distance as the metric~~\n", - " * coming soon" + "* `PCenter.from_geodataframe()` with predefined facility locations and euclidean distance as the metric" ] }, { @@ -47,8 +46,8 @@ "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:26:55.525272Z", - "start_time": "2022-10-29T17:26:55.483484Z" + "end_time": "2022-10-31T18:36:03.392990Z", + "start_time": "2022-10-31T18:36:03.347968Z" } }, "outputs": [ @@ -56,7 +55,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Last updated: 2022-10-29T13:26:55.512103-04:00\n", + "Last updated: 2022-10-31T14:36:03.380081-04:00\n", "\n", "Python implementation: CPython\n", "Python version : 3.10.6\n", @@ -84,8 +83,8 @@ "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:26:57.846101Z", - "start_time": "2022-10-29T17:26:55.530266Z" + "end_time": "2022-10-31T18:36:05.962220Z", + "start_time": "2022-10-31T18:36:03.397200Z" } }, "outputs": [ @@ -95,14 +94,14 @@ "text": [ "Watermark: 2.3.1\n", "\n", - "shapely : 1.8.5\n", "numpy : 1.23.3\n", - "pulp : 2.6.0\n", + "shapely : 1.8.5\n", "matplotlib: 3.6.1\n", - "json : 2.0.9\n", "spaghetti : 1.6.7\n", - "geopandas : 0.11.1\n", + "json : 2.0.9\n", + "pulp : 2.6.0\n", "spopt : 0.4.1+200.g336f235.dirty\n", + "geopandas : 0.11.1\n", "\n" ] } @@ -139,8 +138,8 @@ "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:26:57.854093Z", - "start_time": "2022-10-29T17:26:57.849522Z" + "end_time": "2022-10-31T18:36:05.968507Z", + "start_time": "2022-10-31T18:36:05.965118Z" } }, "outputs": [], @@ -176,8 +175,8 @@ "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:26:57.893627Z", - "start_time": "2022-10-29T17:26:57.857762Z" + "end_time": "2022-10-31T18:36:06.005721Z", + "start_time": "2022-10-31T18:36:05.972083Z" } }, "outputs": [], @@ -198,8 +197,8 @@ "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:26:58.032361Z", - "start_time": "2022-10-29T17:26:57.895839Z" + "end_time": "2022-10-31T18:36:06.126085Z", + "start_time": "2022-10-31T18:36:06.007435Z" } }, "outputs": [], @@ -212,8 +211,8 @@ "execution_count": 6, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:26:58.063257Z", - "start_time": "2022-10-29T17:26:58.035023Z" + "end_time": "2022-10-31T18:36:06.158172Z", + "start_time": "2022-10-31T18:36:06.129210Z" } }, "outputs": [], @@ -237,8 +236,8 @@ "execution_count": 7, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:26:58.239030Z", - "start_time": "2022-10-29T17:26:58.065797Z" + "end_time": "2022-10-31T18:36:06.331736Z", + "start_time": "2022-10-31T18:36:06.161324Z" } }, "outputs": [ @@ -276,8 +275,8 @@ "execution_count": 8, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:26:58.258259Z", - "start_time": "2022-10-29T17:26:58.241495Z" + "end_time": "2022-10-31T18:36:06.349660Z", + "start_time": "2022-10-31T18:36:06.334219Z" } }, "outputs": [], @@ -302,8 +301,8 @@ "execution_count": 9, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:26:58.733756Z", - "start_time": "2022-10-29T17:26:58.260562Z" + "end_time": "2022-10-31T18:36:06.847741Z", + "start_time": "2022-10-31T18:36:06.352303Z" } }, "outputs": [ @@ -349,8 +348,8 @@ "execution_count": 10, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:26:58.818360Z", - "start_time": "2022-10-29T17:26:58.740325Z" + "end_time": "2022-10-31T18:36:06.935931Z", + "start_time": "2022-10-31T18:36:06.854447Z" } }, "outputs": [], @@ -376,8 +375,8 @@ "execution_count": 11, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:26:59.174078Z", - "start_time": "2022-10-29T17:26:58.820645Z" + "end_time": "2022-10-31T18:36:07.291829Z", + "start_time": "2022-10-31T18:36:06.938069Z" } }, "outputs": [ @@ -420,8 +419,8 @@ "execution_count": 12, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:26:59.235058Z", - "start_time": "2022-10-29T17:26:59.176635Z" + "end_time": "2022-10-31T18:36:07.350753Z", + "start_time": "2022-10-31T18:36:07.294413Z" } }, "outputs": [ @@ -456,8 +455,8 @@ "execution_count": 13, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:26:59.244420Z", - "start_time": "2022-10-29T17:26:59.238387Z" + "end_time": "2022-10-31T18:36:07.356870Z", + "start_time": "2022-10-31T18:36:07.352324Z" } }, "outputs": [ @@ -490,8 +489,8 @@ "execution_count": 14, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:26:59.251632Z", - "start_time": "2022-10-29T17:26:59.246565Z" + "end_time": "2022-10-31T18:36:07.363788Z", + "start_time": "2022-10-31T18:36:07.359234Z" } }, "outputs": [ @@ -531,8 +530,8 @@ "execution_count": 15, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:26:59.284436Z", - "start_time": "2022-10-29T17:26:59.253614Z" + "end_time": "2022-10-31T18:36:07.400816Z", + "start_time": "2022-10-31T18:36:07.365568Z" } }, "outputs": [], @@ -554,15 +553,15 @@ "execution_count": 16, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:26:59.580166Z", - "start_time": "2022-10-29T17:26:59.286840Z" + "end_time": "2022-10-31T18:36:07.650106Z", + "start_time": "2022-10-31T18:36:07.403735Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 16, @@ -587,8 +586,8 @@ "execution_count": 17, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:26:59.587327Z", - "start_time": "2022-10-29T17:26:59.583530Z" + "end_time": "2022-10-31T18:36:07.658431Z", + "start_time": "2022-10-31T18:36:07.654075Z" } }, "outputs": [ @@ -625,8 +624,8 @@ "execution_count": 18, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:26:59.602763Z", - "start_time": "2022-10-29T17:26:59.589178Z" + "end_time": "2022-10-31T18:36:07.674387Z", + "start_time": "2022-10-31T18:36:07.660905Z" } }, "outputs": [ @@ -731,9 +730,7 @@ ], "source": [ "facility_points[\"dv\"] = pcenter_from_cm.fac_vars\n", - "facility_points[\"dv\"] = facility_points[\"dv\"].map(\n", - " lambda x: x.name.replace(\"_\", \"\").replace(\"x\", \"y\")\n", - ")\n", + "facility_points[\"dv\"] = facility_points[\"dv\"].map(lambda x: x.name.replace(\"_\", \"\"))\n", "facilities_snapped[\"dv\"] = facility_points[\"dv\"]\n", "facility_points" ] @@ -754,8 +751,8 @@ "execution_count": 19, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:26:59.631311Z", - "start_time": "2022-10-29T17:26:59.604760Z" + "end_time": "2022-10-31T18:36:07.704114Z", + "start_time": "2022-10-31T18:36:07.676163Z" } }, "outputs": [], @@ -777,8 +774,8 @@ "execution_count": 20, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:26:59.798408Z", - "start_time": "2022-10-29T17:26:59.633308Z" + "end_time": "2022-10-31T18:36:07.875936Z", + "start_time": "2022-10-31T18:36:07.706097Z" } }, "outputs": [ @@ -799,6 +796,191 @@ ")" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "However, in many real world applications there may already be existing facility locations with the goal being to add one or more new facilities. Here we will define facilites $y_0$ and $y_1$ as already existing (they must be present in the model solution). This will lead to a sub-optimal solution." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "ExecuteTime": { + "end_time": "2022-10-31T18:36:07.893953Z", + "start_time": "2022-10-31T18:36:07.879394Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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geometrydvpredefined_loc
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" + ], + "text/plain": [ + " geometry dv predefined_loc\n", + "0 POINT (9.32146 3.15178) y0 1\n", + "1 POINT (8.53352 -0.04134) y1 1\n", + "2 POINT (0.68422 6.04557) y2 0\n", + "3 POINT (5.32799 4.10688) y3 0\n", + "4 POINT (3.18949 6.34771) y4 0\n", + "5 POINT (4.31956 7.59470) y5 0\n", + "6 POINT (5.19840 5.86744) y6 0\n", + "7 POINT (6.59891 10.39247) y7 0\n", + "8 POINT (8.51844 4.04521) y8 0\n", + "9 POINT (9.13894 8.56135) y9 0" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "facility_points[\"predefined_loc\"] = 0\n", + "facility_points.loc[(0, 1), \"predefined_loc\"] = 1\n", + "facilities_snapped[\"predefined_loc\"] = facility_points[\"predefined_loc\"]\n", + "facility_points" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "ExecuteTime": { + "end_time": "2022-10-31T18:36:08.012475Z", + "start_time": "2022-10-31T18:36:07.895806Z" + } + }, + "outputs": [], + "source": [ + "distance_metric = \"euclidean\"\n", + "pcenter_from_gdf_pre = PCenter.from_geodataframe(\n", + " clients_snapped,\n", + " facilities_snapped,\n", + " \"geometry\",\n", + " \"geometry\",\n", + " p_facilities=P_FACILITIES,\n", + " predefined_facility_col=\"predefined_loc\",\n", + " distance_metric=distance_metric,\n", + " name=f\"p-center-{distance_metric}-distance-predefined\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "ExecuteTime": { + "end_time": "2022-10-31T18:36:08.193434Z", + "start_time": "2022-10-31T18:36:08.015082Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "A single largest minimized maximum distance of 7.007 units is observed between a client and selected candidate facility.\n" + ] + } + ], + "source": [ + "pcenter_from_gdf_pre = pcenter_from_gdf_pre.solve(solver)\n", + "pcp_obj = round(pcenter_from_gdf_pre.problem.objective.value(), 3)\n", + "print(\n", + " f\"A single largest minimized maximum distance of {pcp_obj} units is \"\n", + " f\"observed between a client and selected candidate facility.\"\n", + ")" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -810,11 +992,11 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 24, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:26:59.807383Z", - "start_time": "2022-10-29T17:26:59.801462Z" + "end_time": "2022-10-31T18:36:08.203107Z", + "start_time": "2022-10-31T18:36:08.196919Z" } }, "outputs": [ @@ -839,7 +1021,7 @@ " 'y15': 'mediumorchid'}" ] }, - "execution_count": 21, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -869,16 +1051,16 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 25, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:26:59.819411Z", - "start_time": "2022-10-29T17:26:59.809428Z" + "end_time": "2022-10-31T18:36:08.217435Z", + "start_time": "2022-10-31T18:36:08.205622Z" } }, "outputs": [], "source": [ - "def plot_results(model, p, ax=None):\n", + "def plot_results(model, p, facs, clis=None, ax=None):\n", " \"\"\"Visualize optimal solution sets and context.\"\"\"\n", " if not ax:\n", " multi_plot = False\n", @@ -888,61 +1070,76 @@ " ax.axis(\"off\")\n", " multi_plot = True\n", " markersize, markersize_factor = 2, 2\n", - " \n", " ax.set_title(model.name, fontsize=15)\n", - " facility_count = facility_points.shape[0]\n", - " cli_points = {}\n", - " fac_sites = []\n", "\n", - " for i in range(facility_count):\n", - " if model.fac2cli[i]:\n", - " geom = client_points.iloc[model.fac2cli[i]][\"geometry\"]\n", - " cli_points[facility_points.loc[i, \"dv\"]] = geom\n", - " fac_sites.append(i)\n", + " # extract facility-client relationships for plotting (except for p-dispersion)\n", + " plot_clis = isinstance(clis, geopandas.GeoDataFrame)\n", + " if plot_clis:\n", + " cli_points = {}\n", + " fac_sites = {}\n", + " for i, dv in enumerate(model.fac_vars):\n", + " if dv.varValue:\n", + " dv, predef = facs.loc[i, [\"dv\", \"predefined_loc\"]]\n", + " fac_sites[dv] = [i, predef]\n", + " if plot_clis:\n", + " geom = clis.iloc[model.fac2cli[i]][\"geometry\"]\n", + " cli_points[dv] = geom\n", " \n", " # study area and legend entries initialization\n", " streets.plot(ax=ax, alpha=1, color=\"black\", zorder=1)\n", " legend_elements = [mlines.Line2D([], [], color=\"black\", label=\"streets\")]\n", " \n", - " # all clients\n", - " client_points.plot(ax=ax, fc=\"k\", ec=\"k\", marker=\"s\", markersize=7, zorder=2)\n", - " if model.name.startswith(\"MCLP\"):\n", - " model.uncovered_clients()\n", - " xcov = model.n_cli_uncov\n", - " _label = f\"Demand sites not covered ($n$={xcov})\"\n", - " _mkws = dict(marker=\"s\", markerfacecolor=\"k\", markeredgecolor=\"k\", linewidth=0)\n", - " legend_elements.append(mlines.Line2D([], [], ms=3, label=_label, **_mkws))\n", + " if plot_clis:\n", + " # any clients that not asscociated with a facility\n", + " if model.name.startswith(\"MCLP\"):\n", + " c = \"k\"\n", + " if model.n_cli_uncov:\n", + " idx = [i for i, v in enumerate(model.cli2fac) if len(v) == 0]\n", + " pnt_kws = dict(ax=ax, fc=c, ec=c, marker=\"s\", markersize=7, zorder=2)\n", + " clis.iloc[idx].plot(**pnt_kws)\n", + " _label = f\"Demand sites not covered ($n$={model.n_cli_uncov})\"\n", + " _mkws = dict(marker=\"s\", markerfacecolor=c, markeredgecolor=c, linewidth=0)\n", + " legend_elements.append(mlines.Line2D([], [], ms=3, label=_label, **_mkws))\n", "\n", " # all candidate facilities\n", - " facility_points.plot(ax=ax, fc=\"brown\", marker=\"*\", markersize=80, zorder=8)\n", - " _label = f\"Facility sites ($n$={facility_count})\"\n", + " facs.plot(ax=ax, fc=\"brown\", marker=\"*\", markersize=80, zorder=8)\n", + " _label = f\"Facility sites ($n$={len(model.fac_vars)})\"\n", " _mkws = dict(marker=\"*\", markerfacecolor=\"brown\", markeredgecolor=\"brown\")\n", " legend_elements.append(mlines.Line2D([], [], ms=7, lw=0, label=_label, **_mkws))\n", " \n", - " # client-facility symbology and legend entries\n", + " # facility-(client) symbology and legend entries\n", " zorder = 4\n", - " for i, (fname, geoms) in enumerate(cli_points.items()):\n", + " for fname, (fac, predef) in fac_sites.items():\n", " cset = dv_colors[fname]\n", - " fac = fac_sites[i]\n", - " # clients\n", - " gdf = geopandas.GeoDataFrame(geoms)\n", - " gdf.plot(ax=ax, zorder=zorder, ec=\"k\", fc=cset, markersize=100 * markersize)\n", - " _label = f\"Demand sites covered by {fname}\"\n", - " _mkws = dict(markerfacecolor=cset, markeredgecolor=\"k\", ms=markersize + 7)\n", - " legend_elements.append(\n", - " mlines.Line2D([], [], marker=\"o\", lw=0, label=_label, **_mkws)\n", - " )\n", + " if plot_clis:\n", + " # clients\n", + " geoms = cli_points[fname]\n", + " gdf = geopandas.GeoDataFrame(geoms)\n", + " gdf.plot(ax=ax, zorder=zorder, ec=\"k\", fc=cset, markersize=100 * markersize)\n", + " _label = f\"Demand sites covered by {fname}\"\n", + " _mkws = dict(markerfacecolor=cset, markeredgecolor=\"k\", ms=markersize + 7)\n", + " legend_elements.append(\n", + " mlines.Line2D([], [], marker=\"o\", lw=0, label=_label, **_mkws)\n", + " )\n", " # facilities\n", - " facility_points.iloc[[fac]].plot(\n", - " ax=ax, marker=\"*\", markersize=1000, zorder=9, fc=cset, ec=\"k\", lw=2\n", + " ec = \"k\"\n", + " lw = 2\n", + " predef_label = \"predefined\"\n", + " if model.name.endswith(predef_label) and predef:\n", + " ec = \"r\"\n", + " lw = 3\n", + " fname += f\" ({predef_label})\"\n", + " facs.iloc[[fac]].plot(\n", + " ax=ax, marker=\"*\", markersize=1000, zorder=9, fc=cset, ec=ec, lw=lw\n", " )\n", - " _mkws = dict(markerfacecolor=cset, markeredgecolor=\"k\", markeredgewidth=2)\n", + " _mkws = dict(markerfacecolor=cset, markeredgecolor=ec, markeredgewidth=lw)\n", " legend_elements.append(\n", " mlines.Line2D([], [], marker=\"*\", ms=20, lw=0, label=fname, **_mkws)\n", " )\n", " # increment zorder up and markersize down for stacked client symbology\n", " zorder += 1\n", - " markersize -= markersize_factor / p\n", + " if plot_clis:\n", + " markersize -= markersize_factor / p\n", " \n", " if not multi_plot:\n", " # legend\n", @@ -959,11 +1156,11 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 26, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:27:00.477604Z", - "start_time": "2022-10-29T17:26:59.821464Z" + "end_time": "2022-10-31T18:36:08.781094Z", + "start_time": "2022-10-31T18:36:08.220033Z" } }, "outputs": [ @@ -984,7 +1181,7 @@ } ], "source": [ - "plot_results(pcenter_from_cm, P_FACILITIES)" + "plot_results(pcenter_from_cm, P_FACILITIES, facility_points, clis=client_points)" ] }, { @@ -996,11 +1193,11 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 27, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:27:01.104943Z", - "start_time": "2022-10-29T17:27:00.479864Z" + "end_time": "2022-10-31T18:36:09.327734Z", + "start_time": "2022-10-31T18:36:08.783646Z" } }, "outputs": [ @@ -1021,7 +1218,7 @@ } ], "source": [ - "plot_results(pcenter_from_gdf, P_FACILITIES)" + "plot_results(pcenter_from_gdf, P_FACILITIES, facility_points, clis=client_points)" ] }, { @@ -1030,6 +1227,47 @@ "source": [ "You may notice that the model results are similar, yet different. This is expected as the distances between facility and demand points are calculated with different metrics (network vs. euclidean distance).\n", "\n", + "### P-center with preselected facilities (euclidean distance)\n", + "\n", + "Finally, let's visualize the results of the $p$-center problem when stipulating that facilities $y_0$ and $y_1$ must be included in the final selection." + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "ExecuteTime": { + "end_time": "2022-10-31T18:36:09.880950Z", + "start_time": "2022-10-31T18:36:09.335470Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "image/png": { + "height": 525, + "width": 791 + } + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_results(pcenter_from_gdf_pre, P_FACILITIES, facility_points, clis=client_points)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here, the differences is explained by the preselected facilities $y_0$ and $y_1$. So, the $p$-center model chooses the facility $y_4$ to minimize maximum single cost to serve all clients.\n", + "\n", "-----------------------------------\n", "\n", "## Comparing solution from varied metrics" @@ -1037,35 +1275,35 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 29, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:27:02.125374Z", - "start_time": "2022-10-29T17:27:01.107424Z" + "end_time": "2022-10-31T18:36:11.239951Z", + "start_time": "2022-10-31T18:36:09.883092Z" } }, "outputs": [ { "data": { - "image/png": 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L7Oxspw5qOXHihGjWrFmVXifDG444clDL0aNHq1SXj4+PWLdunU2vhaljpVarxcyZM23e37PPPmvXIC93PVcTEZFl7DdWYL9Riv1G6YP9xs8ttoH9Rvs/f+w3VjzYb7S/LvYba1+/0ZXXUqbGFyxfvtxsUhlgOhnCFb/ta7Vau95r48aNEyqVqkrJEM54PrUlGeLgwYOS86ylR1hYmN3Jdl988YXF5BFTjyeffNKuc4qzzwtUPylARFRNZWVlGDZsGI4fPw4A8PDwQHx8PCIiIlBeXo4zZ84gJSVFV16lUmH69OmQyWSYOnWq09qVnJyMBx54AJmZmZL1MpkMsbGxCA8PR2BgIPLz85GWloZz585Bq9XaVPehQ4cwbNgw3LhxQ7K+UaNGiIuLQ+PGjVFWVobU1FQkJyfr/n7p0iX06dMHv//+Ozp37mzzc9FqtRg7dix++uknAIBcLkd8fDxatmwJuVyO8+fP49ixY5IpuF566SXExsZiyJAhNu+nqkpKSjBy5Ehs375dst7T0xOdO3dGixYt4OXlhatXr+LQoUMoLi4GUDEN2Zw5c3Dr1i0sWrTIrn0uXboUb7zxhm65csq8wMBAXLt2DceOHav28zJUUlKC4cOH4/DhwwAALy8vdO3aFc2bN4dGo8GZM2dw+vRpXXmVSoWJEyfqpii05ueff8bjjz+uOz6VwsLC0KlTJzRs2BC3b9/G6dOnkZqaqvv78ePH0aNHDxw4cAAtWrRw0LOVGjRoEFauXKlb3rFjB9q3b2+2vOF7AQCuXr2KpKQki9Mn6m8XFhZmcarC119/3eT7Jjo6Gm3btoVCocCFCxcknw2NRoPXX38dmZmZWL16tdm6Tblw4QJeeOEF5ObmAgD8/PzQrVs3hIaGoqioSPKaVNXy5csxa9YsaDQaAIBCocCHH36IadOmVbtuU7Kzs9G/f39cuHBBsj44OBjdu3dHo0aNcOPGDRw6dAj5+fkoKSnBE088gc8//9wp7QGAmTNnYuPGjZJ13t7e6NSpE1q0aAEfHx/cvn0bN2/exJkzZ3D9+nWntcWQ4TmiYcOGuPvuu9G4cWP4+/vj9u3buHTpEpKTk6FSqXTlvvnmGxQVFeGnn36CTCaza5979+7FI488grKyMgBA06ZN0aVLFzRo0AB5eXk4ePAgbt68qSt/9uxZPP7449izZ4/VKQPVajWeeOIJo+MNAKGhoYiNjdWdz65du4YTJ06gqKjIpnbXxHmBiIiIqoZ9+jvYp697fXqtVotnnnkGX3zxhWS9h4cHYmNjERERAT8/P1y/fl3X7wEAIQTeffdd5OTkYM2aNQ5piyM48xremX7//Xc8+OCDKCkpkawPDw9HbGws/Pz8kJGRgYMHD0KtViM9PR2DBw/Gc889Z/e+Vq9ejenTp+v61ZUiIiIQHR2NoKAgFBQU4MSJE7hy5Yru7zt37kTfvn2xb98+BAQEmK3f1PdMy5YtERUVhaCgIHh7eyM/Px9nz55FWlqaJB7x4osvQiaTYd68eXY/r/feew8vv/yybjkqKgpRUVHw8/NDdnY2Dhw4gNLSUt3ff/jhB7z66qtYvHix3fuyx9dff42JEycaHZeoqCi0b98eSqUSly5dwpEjRyCEwPHjxzFs2DAkJCQ4pT25ublISEjAtWvXJOtDQ0MRExODRo0aQS6Xo7CwEFeuXMHZs2clx82ZDI+RTCZD69at0bZtWwQGBsLT0xO3bt3CqVOncPnyZV25kpISjB8/Ht7e3hg9erTd+509ezaWLVum22fHjh0RGRkJLy8vpKen4/Dhw1Cr1bryy5YtQ3R0NKZPn2617rp0riYiIsvYb7yD/Ub2G9lvdA72G9lvZL+R/cbafq6uDldeS/3www+YMWOG7ruladOmiIuLQ4MGDXDz5k2cPHnSaBtXnednzJiBFStWSNZ5eHiga9euCA8PNzoWX375JYKDg+16/q58PjUhJSUFY8aM0Y1batCgAbp27YrGjRvj9u3bOHLkCLKysnTls7Oz8fDDD+PkyZPw8/OzWv/ChQsl119Axec1KioKbdu2RUBAAG7duoUjR45IxuqsX78e2dnZ+PXXX6FQWB6SXtvOC1SH1EwOBhG5M8MM1gYNGuj+P2bMGJN3qD906JCIj4+XbKdUKp2WbXvz5k3RunVryf78/PzEwoULRU5Ojslt8vPzxZdffikSEhJE//79zdadnZ0twsLCJHX36NFDbN++3WT2c2pqqhg5cqSkfNu2bUVBQYHZfRge48qpOOVyuZg/f764ceOG0TZnz54V3bt3l2zXpk0bk226deuWuHjxorh48aLo0aOHURapuUd2drbJ9j799NOSOoKCgsSSJUtMPsfi4mLx3nvvSbKQZTKZ+OWXX8weDyGkd4/w8fHRTZPVq1cvceDAAaPypaWlIjMz02Kd1hjeSaLydfDx8RHvvPOOyTu9Hzx40Ggqzfvvv9/qvk6dOiX8/Pwk2z3wwAPi4MGDJssnJiaKfv36Scr37dvX5NSlla/f119/LSk/e/Zsi6935VRjQlS8Z/TvIjF8+HCLzyciIsJkxu57771ndptLly5Jyk6YMMFs2S1bthjVfd9995n8Trl06ZJ45JFHjMqvXLnS4nMwzCoOCAjQfectX75clJaWGm1z4cIFybKtdyPRaDRi9uzZkrKBgYFi27ZtFttYXcOGDTPa54oVK4wytktLS8VHH30k/P39jb73AcfNDHHmzBlJOV9fX/HBBx+I27dvm93mwoUL4qOPPhLx8fFGM0OUlJTo3s+Gx/frr7+2+P43JSYmRvTt21d89NFHRq+1vtzcXPHuu+/q3jOVD1vu3mB4rCq/dzp27GhyekGVSiWWLFlidJeXtWvXWt3Xc889Z/S5GDp0qDh06JDJ8hqNRuzdu1fMmjVLBAQEWLz7kCvOC0RERFQ17NOzT2+orvbphRBi0aJFkufm5eUlXnvtNZPvI5VKJT777DOj/s6KFSss7kO/rLPv8Omsa3hn3uHz1q1bRjMstmvXTuzcudOo7I0bNyR3hzN8Lay167fffjPqG40bN06cOnXKZPldu3aJmJgYSfknnnjC4j6uX78uPD09xaOPPiq+/vprcfPmTbNl09LSxLRp04RMJtPVr1AoxMmTJy3uQwjp+6phw4a6u9iNHDnS5Gydubm5YuLEiZLt5HK5TXeNraqLFy/q4gSVj27duonDhw8blb1y5Yp47LHHzL62jrrD5/z58yVlO3fuLPbs2WO2vEqlEn/++aeYN2+eaNSokdEdPq9fv677DtV/Hzdv3tzi9+3169eN9nX48GHh4+Mjnn76abFp0yZRWFhotl1JSUni0UcflTyXgIAAce3aNbPbmDpWlecfAGLSpEniypUrRttkZGSIoUOHSrYLDAy0OsOlu5+riYjIMvYb2W80xH5jBfYb2W9kv9E+7Dey3+jO5+rqcOW1lOH4gsoxCnfffbfYtm2b0fFQq9UiPT1dss4V5/nvvvvO6Pw0btw4k+fyAwcOSGb8MPw+sMZZz0f/8274WerRo4fJz7qpz5Q91wWG1wGVn9nw8HDx3XffGY0R02q1Yv369cLX11ey3T/+8Q+rx23NmjWSbTw8PMSsWbOM3i+V+/nhhx9Eq1atJNvMnz/f4j5cdV6g+onJEERkN8OLtsrH888/b3G727dvmxy87QxjxoyR7CcsLEwcO3bM5u3NBXqEEEYX+f/3f/9ncgC6IcPAw+uvv262rKljLJfLxebNmy3uIz8/X7Rs2VKynakggb6qTCem79tvv5VsHx4eblOHee/evZKLyTZt2giNRmO2vKkpvoYPH+7UqRsNgzqVnTNzwaJK6enpkkHQMplMpKammi2v0WiMgiiLFi2y2j6VSmU0yP+LL74wW97UVHz20A+W+vv7i/LycpPlUlJSJPvR/8wkJCSYrX/VqlWS7davX2+yXGlpqVHH9tFHH7X6OTScbs/X19dsJ1sI01MIN2zYUCQlJVncjz5bAoOFhYVGSQmumJpx48aNkn36+/tbfW/v2bPHqNMEOC4ZYvHixVaPlyX6CTyGHDFlnr3BwOPHj0um842MjLT4PSeE8bECKhJ9rAWTlixZYtf5ddu2bUb7efvtt21+brdu3TJ7vF11XiAiIqKqYZ+efXp9dblPf+DAAck06A0aNBCJiYlWtzt37pxo1KiRbrugoCCLP4zqPydnDmpx5jW8Mwe1zJo1S1L33XffbXJglz7D/o0t7SosLBRNmzbVlZXJZOLTTz+1uJ/K7Xr16iXZzx9//GG2fFlZmd0DrgyPr7U+tBDC5PN/8cUXrW730EMPSbZ55ZVX7GqrPUaMGCHZV//+/S32y4UQRjcqsKWPbs+glg4dOujKNWzY0OKgI0PW2m7P+96U/Px8kZuba9c2hrEMa7E8w2NV+fj4448tbqdSqYwGXHzyyScWt3H3czUREVnGfiP7jfrYbzTGfiP7jew32ob9Rvuw3yhV0+fq6nDltZSp8QXdunUTeXl5NrXVFef54uJiERISItnPSy+9ZLH+oqIi0bt3b5PHsaafT6Wqnt/t2c7wOgCAiI6OtjjWSQghfvjhB8k2rVq1MpkoVOnSpUvCx8dHV97Ly0ts3brV6nO5du2a5IbBcrnc4o1FXXVeoPqJyRBEZDdTF23x8fE2DVi8cuWKUYbf0aNHHdq+s2fPSoIWcrncYia3PQ4fPixpe69evWweqKlWq0XHjh112zZp0sTkneWFMH2MFyxYYNN+PvroI7u2q04ATKvVSgbxKxQKceLECZu3f+eddyT73rhxo9myhgGwJk2a2NUxrQpTyRCrVq2yadt58+bZvJ1hBvRjjz1mcxsLCwslnYbY2FizZaubDPHqq69KtjcX5Fm2bJmkY6E/i4OPj4/Z973+nQtkMpm4evWqyXKfffaZUefF2kBxISo+g507d7a5c2sqGcKWu+3rsxYYvHz5suR7AYDo2bOn1Ts2OIJhJ/rDDz+0abv33nvP6Lg4KhlixowZknKW7nZhL0ckQ1SF4fGydj4yPFbBwcE2vR9UKpUIDQ2VfB8XFxebLd+nTx/JfqZNm2b3czPFlecFIiIiqhr26dmnr1TX+/SGSef2zDxm+KPZ+++/b7asfjlnDmpx1jW8EM4b1FJQUCD5zpDL5Tb/6D18+HCjz5Gldr377ruSsrYMAKl0+fJl4eXlpdt2xIgRNm9rK/3n4+PjY/YGE5UMn3vfvn1t+r5KTk6WbNe7d29HPQWJ8+fPS+5cGhAQYNNgH1OxGWt9dHsGtejfwGHUqFFVeGbmVXdQS1VoNBrJuadNmzYWy5sa1DJ27Fib9vXzzz/bvF1dOFcTEZFl7Dey31iJ/Ubz2G/83GJ59hvtx35jBfYb7cN+Y+3sN7ryWsrwPO/l5WXxZq36XHWe//TTTyXlunXrZtOxSE9PF35+fkbHsqafT6Wqnt/t2c7wOkChUIjTp0/btJ+uXbtKtk1JSTFb9tlnn5WUtZYgpe/QoUOSbWfNmmWynCvPC1Q/eYCIyAEWLVoEDw/rXyktWrTAlClTJOvWrFnj0LasXLkSWq1Wt/zkk0+iT58+Dqn7gw8+kCy/9dZbNj1vAJDL5Zg9e7Zu+fr169i/f79N2/r4+OD555+3qezw4cMly8eOHbNpu6rYtWsXkpOTdcvjxo1Dx44dbd7+2Wefhbe3t275p59+snnbKVOmoGHDhjaXd4TmzZvj6aeftqmsPa+D/vtKJpPh7bfftrlN/v7+mDp1qm45KSkJly5dsnl7ewwaNEiyvH37dpPlduzYIdmmf//+UCqVAICSkhLs3r3baButVovffvtNtxwbG4umTZuarP+LL76QLC9YsAB+fn5W2y+Xy/HPf/5Tss6e75+WLVti3LhxNpe35siRI+jRowdOnjypW/fYY49h165dCAkJcdh+TLl06ZLkdQgNDcX06dNt2va5555DkyZNnNU0iZycHJfsx5lGjRolWd63b59d20+dOtWm94NCocADDzygW1ar1UhKSjJZ9uTJk9i7d69uOSAgAIsXL7arXebU5HmBiIiIqo59euvYpzdWm/v0aWlp2LJli2753nvvxZAhQ2zefvTo0QgPD9ct1/R1qTOv4Z1p48aNKCoq0i0/8sgj6Ny5s03bGvbfrfnwww91//f398err75q87YtW7bEY489plvevn07ysrK7Nq/Nfp9w5KSEhw/ftyu7V9++WWbvq+io6MRERGhW7Z3P7Zat24dhBC65WnTpqFZs2ZWt5PL5Vi0aJFT2mSoLsQUPDw88PDDD+uWz58/j+vXr9tVh62fhYSEBF38DrB8/qmL52oiIrKO/Ubr2G80xn6j67DfaB37jRXYb7yD/cYK7De6pt/oqmup0aNHo02bNjaVddV5fu3atZJlW49Fq1atMHnyZJvbUx/GKowaNQodOnSwqayt14y3b9/GZ599pluOjIyUjEOzplu3bujXr59u2dxxc4fzArk3JkMQUbU1aNBAMgDTmrFjx0qW9+zZ49D26A+oBipOno6yc+dO3f9DQ0Nx77332rX9fffdJ1k2NSjclF69etkc7AkPD4evr69u2ZkdOP1B7wDw+OOP27W9r68vunfvrlu29XgAwMiRI+3alyMMHjwYCoXCprKGF5/mXofbt2/jwIEDuuVu3bqhdevWdrWrqu8re/Xq1QsBAQG6ZVPJEGq1Grt27dItJyQkwNfXV9KxNbXd0aNHkZubq1s2TLyopFKpcOjQId2yQqHAE088YfNzeOCBByQD+S9evIisrCybtn3wwQdt7kRbs3HjRtxzzz3Izs7WrVuwYAG++eYbSefKWQy/dx977DHI5XKbtvX09JQE+xypffv2kuV58+ZBpVI5ZV+OpNFokJ+fj4yMDFy6dEny0Gg0krJnzpyxq+5hw4bZXNbW7x3D8+TYsWMRGBhoV7vMqcnzAhEREVUN+/S2Y59eqjb36fVfa8D+5yaTySTvj4MHD6K8vNwhbasKZ17DO5Ph98OYMWNs3rZTp06Ijo62qey5c+dw+fJl3fLQoUPh7+9v874A6ee7rKxMEnuwlUqlQm5uLi5fvmzUN/T09JSUtadv6OPjg/vvv9/m8vp9w+LiYsnAIkepzms7bNgwBAcHO7hFFfTjCnv37sW3337rlP04WllZGW7cuIH09HSj946Pj4+krD3vncjISKNYizmenp646667dMuWzj918VxNRESWsd9oO/YbpdhvdB32Gy1jv1GK/cYK7Dey3wi4pt/oymspe86frjjPG47xadiwIQYPHmzzPuy5YWl9GKvgjPEje/bsQUlJiW559OjRdo+N0v9cpaenS865+vvRV1vOC1R32Daik4jIgvj4eJsHiAMVnVJvb2+UlpYCqLhLQXl5uS6DOC8vD3l5eTbVFRwcLDnZFRYWSu6E7efnh27dutncNkvS0tIkA5fbtGmD9PR0u+owDICkpaXZtN3dd99t136Cg4NRXFwMAMjPz7drW3sYXqg0bNjQ7lkJ9IMwly5dglartXpRJZfLrWbvqtVqZGRk2NQGhUKBFi1aWC1nz+vQoEEDybK51+HAgQOSwd6RkZF2H0P9jHrA9veVvRQKBfr374/NmzcDuJPAoB+cPXTokO65enh4YMCAAQAqkhsqkyQMOyCm1iUkJJhsw6lTpyQX4dHR0XYF8uRyOXr06IGff/5Zt+7w4cN46KGHrG4bFxdn834sefvtt7FgwQJdxrNSqcTq1asxYcIEu+qx532if3cPoGJWCn09evSwa989evTAsmXL7NrGFo888gheeOEF3Z1UfvjhB7Rv3x6TJk3CQw89ZPd3obPcunULP/zwA7Zs2YKTJ0/iwoULRp9DS9vawxnfO4azU/Tv39+uNllSU+cFIiIiqjr26W3HPr2x2tqnN3xuISEhdj83/cFFpaWlyMrKMupbuYozr+GdyRF9z1OnTlktZ/h6t2rVyu7X2/B9m5aWJrmjmSkXL17Ef//7X/zvf/9DcnKy5DvGGnv6hnfddZfkzovWmOobGg7yKSoqwo0bN2yqz9/fH40bN5as039tfXx87LrLnkKhQJcuXfC///3P5m1sNXbsWCQmJgKoiJc9/vjjWLNmDZ588kk88MADLp9l1pzk5GT897//xe7du3Hq1CmbXwvAvveOvecf/feOufNPXT1XExGRZew32o79RmPsN7oG+42Wsd8oxX4j+42V2G80fa6uzlgMUxx9LWWJPeNaXHGeNxzjEx8fb/ONOgGgc+fO8PLysmk2nvowVsEZ40cMj1uzZs3sPm6G780LFy6gVatWknW19bxAdQeTIYio2tq1a2dXeYVCgYiICJw9exZAxR21b968ibCwMADA0qVL8frrr9tU12uvvSaZCunatWuSKZWioqLsuoiy5MqVK5LlPXv22H0Hf0P6d8K3xPACxRr9uwY4867qhsekZ8+e1apPq9UiLy/PagczKCjI6kV+RkaGza9PeHi4TRdy9rwOhnduMPc6GB7Db775Bt98843N+zHF1vdVVSQkJOiSIbRaLX777Tc8+uijur/rz/rQtWtX3WuZkJCABQsWAABOnDiBnJwchISEmNzOy8vLbODIMFPZ3u8foOJuD/rJELbeMUe/vVX1z3/+U9KZbtiwIX744Qfcc889dtdlz/eP/vciUPFdqa9t27Z27bsqx90WzZs3x+LFizFnzhzdugsXLmDBggVYsGABQkJC0Lt3b/Tu3Rv9+vVD165d7QoaVJdGo8G7776LN998s8p3SLH3RwlnfO8YBlptvWuOLWrqvEBERERVxz591bFPL1Wb+vSGz2306NE21WVJbm5ujQ1qceY1vDPp9z19fX1tmvZcn63fT4av93vvvYf33nvPrn0ZsvT5vnnzJl588UWsWbPG5sR4Q/b0DavzHQKY/h7ZsGEDnn76aZvqe+qpp7BmzRrdcllZmaT9rVu3tvu7ul27dk758XLmzJnYsGGDZBbWrVu3YuvWrZDJZIiOjkavXr3Qp08f3HvvvS7/TKenp2POnDnYtGlTletw1XtHrVabLFNXz9VERGQZ+41Vx36jFPuNzsN+o2XsN0qx38h+YyX2G01/lqszFsMUR19LWWLPuBZXnOerOzZFoVCgdevWumNhSX0Yq+CKcWtz5syRjNmpCsPPVW0+L1DdUXvSlojIbVVlesWgoCDJsqN+lLh586Zk2d4Ld3vqdoTCwkKbytWmLFN9NXVMAgICHL5fWzjjdajJ91VVDBo0SLKsn8QASGd40J/doUuXLrq7QQghJOVu376N/fv365b79u1rNJVjJcO7GBh+l9iiqt8/jnjfGd5VYOLEiVVKhKguw+No7/d4VY67rWbPno2vvvrKZEc+JycHmzZtwosvvohevXohNDQUU6dOxblz55zWnkpqtRpPPPEE/v73v1drqlh7A56u+N6pK+dKIiIiqhr26auOfXpjtaVPX9euS5352XAm/b6nI75rzHHl652dnY1+/frhs88+q/KAFsC+vmFt+w6pbkwBcF5cwcvLCzt37sSUKVOMflAVQiA5ORmrV6/GxIkT0bp1a3Tq1AlLlizR3VXZmc6cOYNevXpVa0ALUPPvnbp6riYiIsvYb6w69huNsd/oHOw3WsZ+o2ux31g17DfaX7cjuOK725XXUvacQ11xPF35feCu7w97uOu4tdp8XqC6o3ZdDRGRW5LJZLWiDmfXazhVmiPYkiFcm/GYVJ+7HcOoqCjJVGb6SQ0FBQU4dOiQblk/GUImk2HAgAEmt/vjjz8kx0F/O0OGz602f/+YMmTIEElQ5d///rduxoya5MpjYIsxY8YgLS0Na9euxYMPPmg2QHLz5k2sWrUKd999N+bPn1+tgKI1S5YswYYNGyTrevbsiXfffRe7du3C+fPnkZ+fj7KyMgghJI/ajudKIiKi+q02X1PzOsW56vIxqcvPDah9fThbOLPNrny9J02ahDNnzuiWFQoFHn74YaxYsQIHDhzAlStXUFhYCJVKJekX7tq1y+FtrC1q2/vRz88PK1euRGpqKl5//XV069bN7KySJ0+exN/+9je0bdvWqa9R5Q0W9O/W6+3tjfHjx2PNmjU4cuQIsrOzUVRUBLVaLXnvfP75505rlyPwXE1EVD+w31h17n4uqsvHpC4/N6D2Xafbgv1G9htdhf1G1+K5uvZeS9XE8awr3/V1SV17H1D9ZfpMTkRkB3umWDO3jf5A10WLFkmmO7VH5Z3nKzlyGmzDuqdMmYKVK1c6rH531LhxY2RlZQGo6IgVFxfXmguWiIgIt7goNXxfvfXWW/j73/9eQ62xzaBBg/Dpp58CqJimMSUlRTcdWeVUiAEBAUZTziUkJOC///0vAGkyhOHsEoazT+gznH7O0d8/zvbYY49h6tSpePzxx1FWVgYA+Ne//oXc3Fx8/PHHdmVxV+f9bfic7T2OVTnu9vLx8cH48eMxfvx4aLVanDlzBvv378eePXuwfft2SSBIq9Vi8eLFKC8vx7///W+Ht6W8vBxvvvmmblkmk+Hzzz/HU089ZXXbgoICh7enukydK5s3b+6wumvreYGIiIhMY5++/qrN127V7dM3btwYKSkpuuWsrCybppF3NY1GY1M5Z17DO1ODBg1w9epVAI75rjHH8Ph89dVXGDNmjN37s+bQoUP45ZdfJPvdtm0bunTpYnXb2tY3nDhxIiZOnFilbasbU6jqNvZq3bo1Fi5ciIULF+L27ds4fPgw9u7diz///BN//PGHLi4DVHxHDB06FL///jt69Ojh8LZ8//33OHnypG65TZs22LZtGyIjI61uW9veOzxXExHVT+w31l/sN9Y89hstY7/RedhvZL+xqurCudrRY41q67gWV5znXfl9UJuvW2ozw8/Vvn370KtXL4fuw13OC+TeODMEEVWbfpDAFmq1GpcuXdIty+VyowHOVdW0aVPJhUxKSorNAQJb6tZn7/Oui/SPSWlpKS5fvlyDrXFP7vi+MkxWqExm0E9wuO++++Dp6Skppz/jQ1ZWFpKTk422a9y4MTp37mx23yEhIZLlqhyvc+fOWazT2R566CFs3bpVMj3hypUrMXbsWKhUKpe0wfB9l5qaatf2rn6fenh4IDo6GpMmTcKaNWuQmZmJP//802gWkf/85z9Gr68j/PHHH5KO1fjx421KhACg62zXJobB/NOnTzusbp4XiIiI3A/79PVXXb52c+XrrT/7X+UNAmxlOD24Oc68hncm/dehuLjY7v6Rra+bq17vH3/8UbL8zjvv2DSgBaidfcOq8vLykkxLf/HiRbu/q139Hezn54f+/fvj5ZdfxrZt23QzTep/tkpLS/H88887Zf+G751Vq1bZNKAFqH3vHZ6riYjqJ/Yb6y/2Gx2D/Ubz2G+8o7Zd+1cH+432Y7/R9rr1ucu5ujZdS+lzxXm+umNT1Go1Ll68aPe+6tp1izO54nPljucFcj9MhiCiajt69KhdnfYTJ06gtLRUt9yxY0d4eXk5pC3+/v7o1KmTbrmoqAhHjhxxSN3R0dGSE/P+/ftRWFjokLprUnWyYHv37i1ZNrzDP1nXq1cvyWuwY8cOp81o4aiM54EDB0pmMKhMZtB//U3N7tCiRQu0b99esl1mZqYkGDdw4ECL7YyOjoaPj49uOTk52a47HWg0Ghw8eFCyrlu3bjZv7yj33Xcf/ve//0kyrP/73//iwQcfRHFxsdP337VrV8nygQMH7Nre8Bi6mkwmQ79+/fDrr79i+PDhuvVarRY//fST2W2qyrBDrr9Pa/bt21fl/TpLnz59JMu///67w+rmeYGIiMj9sE/v3tinN82Vzy0wMFD3/7y8PLu2PXXqlE3lnHkN70yu6nu66vWua33D6tB/bUtKSnDixAmbt1WpVEhMTHRGs2zm5+eHyZMnY9++ffDz89Ot37dvH3Jyckxu46i4QuUAG1vVtvcOz9VERPUT+43ujf1G09hvrB3Yb7yjtl37Vxf7jfZhv9E27nqurk3XUvpc8d1oOMbH3mNx/PhxySwtltTl6xZnctVxc/fzAtV+TIYgomq7desWfv31V5vLf/XVV5Llvn37OrQ9AwcOlCw7ako0uVyOAQMG6JbLysqwbt06h9RdkwwvmG29iASAwYMHS5Y/+eQTh7SpPmnSpAni4uJ0y5mZmdi6datT9lWd11pfo0aNJG3etWsXzp8/j/Pnz+vWGd6x39T67du3S2aFsLRdJU9PT3Tv3l23rFar8e2339rc9u3bt0uCE61bt0azZs1s3t6Runbtij///BMtWrTQrfv111+RkJBgdyDUXobfu999953NWdcqlcquY+5MMpkMTz/9tGSdubsCVOf9b/h66AdYrFmzZo3NZV3F8Dz51VdfOSxIxPMCERGR+2Gf3r2xT2+a4XNbt26d5AdER9KfbTA1NdXmGf/OnDkjucObJc68hncmw++Hr7/+2uZtT5w4YfOgny5dukhuNrB//37dbJSOVNW+YX5+PjZt2uTw9tSk6ry2v/zyi9PjHraKiIjA/fffr1sWQpj9XOp/39obU9N/voGBgTYPkDl//jz27t1r175cgedqIqL6h/1G98Z+o2nsN9YO7DdWYL9Riv1G9hvNcddzdW27lqrkivO84Rif3NxcbNu2zebtv/zyS5vL1uXrFmcaMGCAZBarn376yWzSV3XUlfMC1V5MhiAih1i0aBG0Wq3VchkZGVi1apVk3VNPPeXQtkybNk1ykl63bp3ddxAwZ9asWZLl119/HdnZ2Q6pu6YEBwdLlu15PkOGDMFdd92lWz506BA+++wzRzWt3pg5c6Zked68eSgqKnL4fqrzWhvST1ooLCzE66+/rlsODw9Hu3btrG73559/YvPmzZK/G3aKTZkwYYJk+a233rJpNgWNRoNXXnlFss7R3z/26tChA/bs2YO2bdvq1u3duxf9+/fHtWvXnLbfiIgI9OvXT7d89epVLF++3KZtP/jgA1y/ft1ZTbObQqGQLJu7I0J13v8NGjSQLJ89e9am7X788Ufs3r3b5v24SnR0NO69917dckFBAf7+9787pG6eF4iIiNwT+/Tui31602JjYyXXvFeuXMFbb73llH116dJF9//y8nKb75z1j3/8w+Z9OPMa3pkeeeQR+Pv765Z/+OEHm+/4Zdh/t8TDwwMzZszQLQsh8Nxzz9l1lzlbVLVvuGjRIrcYhGSP8ePHSwZmrFy5EllZWVa302g0WLRokRNbZr+qxBVu3Lhh8wA2QPreycnJwa1bt2za7sUXX7Tp/OxqPFcTEdVP7De6L/YbTWO/sXZgv7EC+413sN/IfqM17nqurk3XUpVcdZ43HOPz+uuv23QsLl++jNWrV9u8n7p83eJMDRo0wLhx43TLRUVFmDdvnsP3U5fOC1Q7MRmCiBzi6NGjeOmllyyWKSkpwdixYyWDvPv06YP4+HiHtuWuu+6SnKTVajVGjx6NpKQkm+u4evWqyfX9+/fHoEGDdMs5OTkYOnQoMjIy7GpjYWGhUSZvTenQoYNk2Z7prhQKhVEQZvr06fj+++/tbsfOnTtx4cIFu7erCyZMmID27dvrls+cOYOHH37Y5g5upevXr1s89pGRkVAqlbrlXbt22dUB16f/OQCk2diWZnfo37+/rg3FxcX44YcfdH9r3749WrZsaXXf48aNQ2hoqG754sWLmDRpktXO0vPPPy+ZNs3HxwfTp0+3uj9nCw8Px549eySzbZw4cQJ9+/a1+W4vVTF79mzJ8oIFC6xOT7lv3z4sXLjQaW1auXIlLl++bNc2a9eulSwbfqeZW2/Pd53+NJ4A8NFHH+H27dsWtzly5IjRrBW1ieHruGzZMrz//vs2b5+fn2/yDkk8LxAREbkn9unZp69Ul67d3nzzTcmPK2+88QY++ugju+s5ePAgjh07Zvbv+nejAyp+2LQ2mOLDDz/EN998Y1c7nHUN70yBgYGYOHGiblmj0WDcuHHIzc21uN3SpUvx888/27Wv559/XnKXz127duHpp5+2+zlfvnzZ7Iydhn3Dt99+22p9n376Kf7zn//Y1QZ3cNddd2HYsGG65cLCQowbN87q8Z43bx6OHz/ulDZdvnwZX3zxhV1338zOzsbOnTt1y0qlEpGRkSbL6n/fqtVq7Nq1y+b96L93NBoN3n33XavbvPbaa5K4WW3CczURUf3EfqP7novYbzSP/UYp9httw36jbdhvZL+R52qp2nQtVclV5/kxY8ZIZkk6fPgwXn75ZYv1FRcXY8yYMVbHZeir69ctzrRo0SJJote6devw0ksvQaPR2FXP6dOn8eeff5r8W208L1AdI4iI7LRr1y4BQPdo0KCB7v9jx44VGRkZRtscOnRIxMfHS7ZTKpUiKSnJKW28deuWaNOmjWR//v7+4vXXXxfXr183uU1BQYH46quvREJCgujfv7/ZurOyskSLFi2MjsHixYvN1l1Z/48//iieeeYZERAQIMLDw82WNTzGr732mq1PXQghRHh4uG5bS/sRQog//vhDsq/AwECxePFisX//fpGamiouXryoe2RnZ5us45lnnpHUUfleOHLkiNn9qtVqkZiYKBYtWiQ6dOggAIhdu3Y55Dk5yueffy55Tp9//rld2+tve++991osm5ycLAIDAyXbtGjRQnz88ceioKDA7HY3b94U33zzjXjiiSeEl5eX1f3cd999kn088MADYtOmTeLUqVOS1/rixYuipKTEbD1lZWXCz8/P6HUHIL777juLbbj33ntNbjdr1iyL2+n76aefjLYfOHCgOH36tFHZ9PR0MXr0aKPyy5cvt7iP1157TVLe0vvTHHveQ3l5eaJfv36S8s2bNxenTp2ye7+2Gjp0qGR/QUFBYuXKlaKsrExSrqysTCxbtkwEBAQYfe8DEE899ZTF/Ri+5uZ06tRJyOVyMXz4cPHZZ5+JrKwss2XT09PF+PHjJfX6+fmJGzdumCxfVFQk/P39dWVlMpmYOXOm+O2338S5c+eM3v/61Gq15DsIgOjVq5fJ91thYaFYvHix7vPRpEkTu74LbD1Wptj7nfX8888bfS5GjBhh9rtbo9GIffv2ieeee04EBAQYHSd9rjgvEBERUdWwT88+vaG62qcXQojXX3/d6Lk98MADYteuXUKj0ZjcRqvVijNnzoh33nlHdOvWzeq1dWFhoVF/ftiwYSIzM9Oo7OXLl8X//d//mfz8AbB4jS2E867h7e1L2PN63rp1SzRr1kxSf7t27cTOnTuNyt68eVPMmjVLyGQyk8fHWrt+++03oVAoJNt06NBBrF+/3mKMIysrS3z22WdixIgRQi6Xm+3jnjt3Tsjlckn9kyZNMtkPvXLlipg0aZKunGHf0Nr3gj39SENPPfWUXe+rqrpw4YJRbKh79+4m349XrlwRjz/+uNn3vqXvj4sXL9oUgzh27JgAIEJCQsSzzz4rdu7cKYqLi02W1Wq1Yvv27aJdu3aSup944gmz7fjiiy8kZZs1ayaWLVsmjhw5ItLS0iTft4bnk507dxp9dl9++WVRWFhotJ+zZ8+Khx9+2Ox7x9LnwNZjZY49MQl3P1cTEZFl7Dey32iI/UYp9hvZb2S/0TbsN7Lf6M7n6upw5bVUdcYXVHLFef7bb7812seTTz5p8lx48OBB0aVLF1254OBgu56jq8YqVPV72J7tqvN9be/1puF3GADRs2dP8dNPPwmVSmV2u4sXL4qPPvpINx7N0n5cdV6g+onJEERkN8OT5fz580Xnzp11yx4eHqJHjx7iscceEyNHjhRRUVFGJ0sAYsWKFU5t56lTp4wufivb17lzZ/Hggw+KcePGiREjRoi7775b0im1drFx/Phxow45UDG49u677xbDhw8X48aNE6NHjxYDBw4UrVu31nXIKx+1JQAmhBBdu3Y1+RoZPswdl/LycklnS//RpEkTMXDgQPH444+LMWPGiGHDhom4uDjh7e1tVLa2BcBcmQwhhBA7duwQQUFBRsdFLpfr3rNPPvmkeOSRR8T9999v8v1tbT+bN2+26bW25cJxyJAhJtuam5trcbs333zT5P42b95s9Rjpe+WVV0zWExsbKx555BHx6KOPiq5duxp99gCIp59+2mr9rk6GEEKI4uJiMWzYMMk2jRo1EgcPHrR737bIysoSrVu3Njo+wcHBYvDgwWLMmDEiISFB8r709PQU69atk5R3ZDKEYVvCwsLEfffdJ0aNGiWefPJJMXLkSHH33XebfF0/+eQTi+0wFQA29zD03//+1+R3fqdOncRjjz0mHn/8cdGvXz/h5eWl+7tCoRBbt2616zPqymQItVotHn30UZPPv1mzZmLw4MFi7NixYtSoUaJPnz66ZJjKh6WOtivOC0RERFQ17NOzT2+orvbpK82cOdPkcwsKChL9+/cXjz76qBg7dqwYPny46N69uySJ2tZr62XLlhlto1AoRJ8+fcSYMWPEI488Ijp37ix5H40dO9buH7OcdQ3vzEEtQlR8Jky9Z8LDw8WIESPEE088Ifr16yc8PT11f2vZsqV499137WqXEEKsX79e0i+rfCiVStG9e3cxcuRIXd/ynnvuESEhIUZlLfVxp0+fblTey8tL9OvXT4wdO9bkax0aGmrUj64Lg1qEEOLLL78UHh4eRsekffv2YuTIkeKxxx4T3bt3l5Tp3LmzmD9/vs3fH/YOatF/yOVyER0dLYYMGSLGjBkjxowZIwYOHGg0UASoGAxj6aYMxcXFJs9Lph6m2mgqjubv7y/uv/9+MW7cOPHQQw/pfmyvfHTo0EH85z//sflz4MpBLUK497maiIgsY7+R/UZD7Dey38h+I/uNVcV+I/uN7nqurg5XXks5IhnCVb/tT5s2zeR7Qf9YGCYgTZ8+3e7n6KrnU9XvYXu2c2UyhBBCLF682OR3tq+vr+jTp4945JFHxLhx48SDDz4oevfubZSoYst+XHFeoPqJyRBEZDdTJ8usrCwRGxtr00W9p6en1TuyO0p2drbRndZtedhykXLt2jWRkJBgd936J2pzXB0AS0tLE+3bt6/WcdFqtWLx4sUmLxBtfV8cOnTIYc/JEVydDCGEEKmpqTYHJE09Ro4caXUf//znP43uSGHqYe3CccmSJUbb9OjRw+r+Dx06ZPL1N3VXA2s++OADoVQqbT4+Hh4e4uWXXxZardZq3TWRDCGEECqVSowdO1aynb+/v/jtt9/s3r8t0tPTzXauDR9eXl7iu+++sztIUp1kCFsePj4+YvXq1Vafa2lpqXjwwQdtqtOUN954w2QShrk2Vc6SYs93gSuTIYSo+O5etGiRJHhs68NaR9vZ5wUiIiKqGvbpK7BPL1UX+/T6vvjiC6O7cNr68PDwEN9//73F+rVarXj22WdtrnP8+PGivLy8Sj9mOeMa3tmDWoQQYvv27Ta/Bi1bthSnTp2qclzm8OHDRncetOcxZ84cs3WXlZUZ3cTA0iMiIkIkJyfb/b1g73eaPlcOahFCiLVr15ocSGTqERsbKzIzM+2KuVRnUIutj7vvvlukpqZafa6HDx8WzZs3t1qfqTbeunXLrphf586dRUZGhl2fA1cPahHCfc/VRERkGfuNFdhvlGK/0fyD/UZj7Dey36iP/UbjB/uN1h81fa6uDldeSzkiGUII1/y2r9VqxYwZM2yu8/HHHxcqlapKz9EVz8fe92tVtnN1MoQQQmzdulWEhoZW+XO1dOlSq/tw9nmB6icPEBE5QFhYGA4cOICFCxeiefPmJsvI5XI88MADOH78OKZNm+aSdoWGhuLPP//E5s2bce+990KhUFgs37p1a8ydOxcrVqywWndISAi2bduGP//8EyNHjoSfn5/VbVq3bo1JkyZh69atOHLkiM3Pw9kiIyNx/PhxrF+/Ho899hg6dOiAoKAgq8dLn0wmw4svvoiLFy9i/vz5CA8Pt7pNQEAAhg4dimXLliE7OxvdunWrztOoE9q0aYNDhw5h8+bNGDhwILy8vKxu06FDB8yaNQu7d+/G999/b7X8yy+/jJMnT2L+/Pm45557EBoaCh8fH7vbOmjQIKN1CQkJVreLj49Ho0aNJOt69uwJf39/u9swa9YsnD17FhMnTkRgYKDZcj4+Phg1ahROnjyJf/7zn5DJZHbvy1UUCgXWr1+PZ599VreuqKgIQ4cOxQ8//ODw/bVq1QonTpzAa6+9hsaNG5sso1QqMWrUKBw9ehSjR492eBsqff3111i8eDHuv/9+m94PISEhePbZZ3Hu3DlMmjTJankvLy/8+OOP2LlzJ6ZMmaJ7LyqVSpva98orr+CXX35Bly5dzJYJDAzEU089haSkJKceK0eRyWR47bXXcO7cOUyePBkNGza0WN7f3x8jR47Epk2b0KpVK6t187xARETkHtinZ5++rl+7TZgwAZcvX8Zbb72FqKgoq+W9vb1x//33491338Xly5fx8MMPWywvk8nw0Ucf4csvv8Rdd91ltlx8fDy++eYbrF27Fp6ennY/j8p9Oesa3pkGDRqEs2fPYvz48fD29jZZpmHDhnjuuedw/Phx3H333VXeV9euXXH27FmsX78evXr1svpZ8PDwQFxcHF588UUkJiZiyZIlZssqlUr89NNPWLp0KZo1a2a2XMuWLbFgwQKcOHEC0dHRVX4u7mD8+PE4efIkRowYYfZYN2/eHAsXLsSBAwcsHrfqiI6OxtatWzFr1ixER0fDw8P6z19dunTBsmXLcOLECbRp08Zq+a5du+L06dNYsWIFRo4ciTZt2iAwMBByudzqtsHBwdizZw8WLlxo8XMbFRWFxYsX48CBA2bPybUJz9VERPUH+43ufS5iv9E69hvZb7SE/cbqYb+R/Uaeq2vvtVQlV5znZTIZli1bhm3btlkcc9GpUyesWbMG33zzjV3XKob7qsvXLc70wAMP4OLFi1i2bBk6d+5sdXyVp6cnevfujUWLFiElJQWzZ8+2uo/acl6gukUmhBA13Qgici+///477rvvPt3ya6+9hkWLFumWtVot9u/fjwsXLiArKwve3t5o3rw57rnnHoSEhNRAi+8oLCzE3r17kZmZiZs3b0Kj0SAwMBCtWrVCbGwsIiIiqly3Wq3GkSNHcP78edy8eROFhYXw9fVFUFAQIiMj0aFDB4SGhjruybiBixcvIjExEdevX8etW7fg4eGBgIAANGvWDO3bt0fbtm1t6vTVZ6WlpTh48CDS09Nx8+ZN3L59G35+fmjQoAHatGmDDh06GCUW1FcqlQoHDx7E+fPncePGDWg0GjRp0gTh4eHo06eP2aAZ3aFWq7Fnzx6kpqbixo0baNCgAZo3b46+ffuiQYMGLm2LRqPBuXPnkJqaioyMDBQWFkKj0cDf3x9NmzZFTEwMOnToUGPfISkpKThw4ACuXbsGIQSaNm2KFi1auP17TavVIjExEWfPnsWNGzdQVFQEPz8/hISEoH379ujYsWOVg+8AzwtERES1Afv0prFPb6wuX7tlZ2fj0KFDyMnJQW5uLrRaLQICAhAaGoqoqChERUXZnDRtSlJSEo4cOYLr169DoVCgefPm6NSpE9q3b+/AZ1HB2dfwzlBYWIhdu3bhypUrKCwsRNOmTREeHo6+fftW67hb2t+BAweQkZGB3NxclJaWwt/fH40aNULbtm3RoUMHizdYMEetViMxMRHHjx/HzZs34e3tjdDQULRp0wZdu3at1TdicJYbN27gjz/+QGZmJkpKShAWFobIyEj07t3bpkEmjlRQUIBTp07h4sWLuHbtGm7fvg1PT08EBgYiIiICnTt3RlhYmEvbVKmsrAwHDx7EqVOncOvWLfj7+yM0NBQdOnRAbGxsjbTJUXiuJiKqG9hvNI3nImPsN7Lf6CzsN9Zd7Dfahv3Gqqkt52p3vpbS5+zzfGpqKg4dOoTs7Gx4eHigefPmiImJcVqCWF2+bnGm3NxcHDhwANnZ2cjNzYVKpYK/vz9CQkLQrl07tG/fHr6+vlWuvzadF8i9MRmCiOxm7aKNiIiIiIiIiGon9umJiIiIiIjIEvYbiYiIiKqO11JERK7H1BkiIiIiIiIiIiIiIiIiIiIiIiIiIiIiInIrTIYgIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiK3wmQIIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiJyK0yGICIiIiIiIiIiIiIiIiIiIiIiIiIiIiIit8JkCCIiIiIiIiIiIiIiIiIiIiIiIiIiIiIicitMhiAiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIrfCZAgiIiIiIiIiIiIiIiIiIiIiIiIiIiIiInIrMiGEqOlGEBERERERERERERERERERERERERERERER2YozQxARERERERERERERERERERERERERERERkVthMgQREREREREREREREREREREREREREREREbkVJkMQEREREREREREREREREREREREREREREZFbYTIEERERERERERERERERERERERERERERERG5FSZDEBERERERERERERERERERERERERERERGRW2EyBBERERERERERERERERERERERERERERERuRUmQxARERERERERERERERERERERERERERERkVthMgQREREREREREREREREREREREREREREREbkVJkMQEREREREREREREREREREREREREREREZFbYTIEERERERERERERERER1aiSkhJkZGSgpKSkpptCRERERERERERERG6CyRBERERERERERERERERUY3755RdERkaiZcuWiIyMxC+//FLTTSIiIiIiIiIiIiIiNyATQoiabgQRERERERERERERERHVP7m5uWjbti1yc3N16xo1aoSUlBQ0bNiwBltGRERERERERERERLUdZ4YgIiIiIiIiIiIiIiKiGrFhwwZJIgQA3Lx5Exs3bqyhFhERERERERERERGRu2AyBBEREREREREREREREdUIc0kPTIYgIiIiIiIiIiIiImtkQghR040gIiIiIiIiIiIiIiKi+uXWrVsICQmBWq02+ptCoUBOTg4aNGhQAy0jIiIiIiIiIiIiInfAmSGIiIiIiIiIiIiIiIjI5X766SeTiRAAoFarsXnzZhe3iIiIiIiIiIiIiIjcCZMhiIiIiIiIiIiIiIiIyOU2btxYrb8TERERERERERERUf0mE0KImm4EERERERERERERERER1R8FBQVo0qQJysvLzZbx8vLC9evXERAQ4MKWEREREREREREREZG74MwQRERERERERERERERE5FJbtmyxmAgBAGVlZdiyZYuLWkRERERERERERERE7obJEERERERERERERERERORSGzdudGg5IiIiIiIiIiIiIqp/ZEIIUdONICIiIiIiIiIiIiIiovqhuLgYTZo0QXFxsdWyvr6+uH79Onx9fV3QMiIiIiIiIiIiIiJyJ5wZgoiIiIiIiIiIiIiIiFzm119/NZkI4etlXLa4uBjbtm1zQauIiIiIiIiIiIiIyN0wGYKIiIiIiIiIiIiIiIhcZsOGDSbXTxqitKs8EREREREREREREdVvTIYgIiIiIiIiIiIiIiIilygrK8PPP/9stL5pAxke6KpASLDM6G8///wzysrKXNE8IiIiIiIiIiIiInIjTIYgIiIiIiIiIiIiIiIil9ixYwcKCwuN1veNlsPDQ4a+MXKjvxUUFGDnzp2uaB4RERERERERERERuREmQxAREREREREREREREZFLbNy40eT6PjEKAEDfaIVd2xERERERERERERFR/cVkCCIiIiIiIiIiIiIiInI6lUqFH3/80Wh9o0AZ2reo+MmqfUsPNAqUGZX58ccfoVKpnN5GIiIiIiIiIiIiInIfTIYgIiIiIiIiIiIiIiIip9u1axdu3bpltL7P3XJ4eFQkQHh4yND7brlRmdzcXPz+++/ObiIRERERERERERERuREmQxAREREREREREREREZHTbdy40eT6vjEKi8vWticiIiIiIiIiIiKi+onJEERERERERERERERERORUGo0GmzZtMlof7AdER0h/roqJ8ECQn3EdP/zwAzQajZNaSERERERERERERETuhskQRERERERERERERERE5FR79uxBTk6O0fpedysg95BJ1sk9ZOh9t/HsEDk5Odi7d6/T2khERERERERERERE7oXJEERERERERERERERERORUGzduNLm+b4zc5Po+0abXm6uHiIiIiIiIiIiIiOofJkMQERERERERERERERGR02i1WpNJDP4+QKdI00kPnSLl8Pc2Xr9x40ZotVpHN5GIiIiIiIiIiIiI3BCTIYiIiIiIiIiIiIiIiMhpDh48iKysLKP1PTsooJDLTG7jqZChZweF0frMzEwcOnTI4W0kIiIiIiIiIiIiIvfDZAgiIiIiIiIiIiIiIiJyGlOzQgBAvxjTs0JU6mvm7+bqIyIiIiIiIiIiIqL6hckQRERERERERERERERE5BRCCJPJC75eQFwby8kQXdrI4aM0Xr9x40YIIRzVRCIiIiIiIiIiIiJyU0yGICIiIiIiIiIiIiIiIqc4duwYLl26ZLS+e5QcSoXM4rZKTxm6tzdOmLh48SKOHz/uoBYSERERERERERERkbtiMgQRERERERERERERERE5xYYNG0yu7xujsGn7vtGmy5mrl4iIiIiIiIiIiIjqDyZDEBERERERERERERERkcMJIbBx40aj9V6eQNd2xjM+mNItSg4vT+P1GzduhBCiuk0kIiIiIiIiIiIiIjdm2213iIiIiIioXisoKMD58+dRVlYGLy8vtGnTBoGBgTXdLCIiIiIiIqrFTp06hZSUFKP13drJ4a2U2VSHt1KGru3k2HtKI1l/7tw5nD59GtHR0Q5pK1nGuAARERERERFR/cSYABHVdkyGICIiIiIik5KTk7FixQrs2LHD5OCVdu3aYdCgQZg2bRpiYmJqoIVERERERERkiUajwVtvvYWff/4Zt27dcvn+CwoKTK7vE2Pfz1N9oxVGyRAAMGDAgBr58b1BgwYYPnw4FixYALncthku3BHjAkRERERERET1E2MCROROZIJzCBMRERERkZ60tDTMmDED27dvt3mbhIQELF++HJGRkU5sGREREREREdnjueeew4cffljTzZDwlAPfvOwLP2/bZoYAgNulAk+8WQyVcT5EjXruuefwn//8p6ab4XCMCxARERERERHVT4wJEJE7YjIEEREREdUK6tJS5J46hYbR0VB4e9d0c+qtVatWYe7cuSguLtatU8o90KlpIDo2DUKAUoHCcjVOXsvHiWsFKNdodeV8fX2xdOlSTJ48uSaaTkRERERERHo0Gg0aNmxodnaGmtKjvRyvT7C/37/wi1IcOle7siGCgoKQm5sLDw+Pmm6Kw5iKC3jKgdZhHmgd6gFfL6C4DLh4VYuL2VpJggrjAkRERERERFQVHCtQO5iKCcg9lQhr1xGhbWPh5RuAsuJCXE1NQnbKSWhU5bpyjAkQUU2ybx5iIiIiIiIn2TtvHjJ37UKL++/HPbXsrpX1xRtvvIGFCxfqlsODfDCvd1uM79gSQd6eRuXzS1VYd/IK3tuXivT8EhQXF2PKlCm4du0aXnnlFVc2nYiIiIiIiAzI5XL4+PjUumSIvjHyKm3XL1Ze65IhfHx86lQihGFcICRYhtH9PDEgTmFyJo/bpQK/HVNjw24VcvIE4wJERERERERUJRwrUPMMYwLBYeHoN34uugwbB++AIKPypYX5SNzyJXavW4K87HTGBIioRnFmCCIiIiKqccVXr2LTgAG65ZH/+x98mzatwRbVP6tWrcLUqVN1y9PiI/BuQgz8ldbzp4vK1XhhezJWHL2kW7dy5UpMmTLFGU0lIiIiIiIiG73zzjt46aWXaroZOuEhMnw00weeCuOB9dao1ALPflSCyzm152etxYsX48UXX6zpZjiEYVxgWHcFJg1RwsfL+mtVUibwydZybDmk1q1jXICIiIiIiIhswbECNc8wJtBj9BQMmfM2vHz9rW5bVlyErUvn4+CGVbp1jAkQkasxGYKIiIiIaty5L7/E0bfe0i3HL1iAqHHjarBF9UtaWho6duyom+7y/YQY/K1XG7vreX9fKubtOAWgYhrMpKQkREZGOrStREREREREZDshBBYvXoxXXnkFGo3lWRWaN5ahWSPnzHLgIQMiwzwwqq8n/H3sT4SoVFQisHGPCheytdA66detrBtaZN60XLlCocA///lPvPjii5DJqv58agvDuMDkoUqM6ms8Q6Q1G3ersHprOQDGBYiIiIiIiMg2HCtQswxjAkP/9g76PTnH7np2r1uCX5ZU3JCDMQEicjUmQxARERFRjds5cSJyDh/WLYd064aBa9bUXIPqmcGDB2P79u0AKmaEWD68c5Xrmv7zcd0MEQkJCdi2bZsDWkhERERERETVceDAAYwdOxYXL140W0apAKYOU2Jod0WdGOBvLyEEthxUY9Uv5ShXmy/XunVrfP311+jRo4frGudk+nGBYd0VmDXSq8p1fbipTDdDBOMCREREREREZA3HCtQs/ZhAj9FTMHLBR1Wua9NbM3UzRDAmQESuxGQIIiIiInKZgoICnD9/HmVlZfDy8kKbNm2gVKnwQ//+EFqtrpzMwwMP//EHvBs2rMHW1g9JSUno2LEjACA8yAfJMwbAX6mocn1F5WrEfPwb0vNLdPXHxMQ4pK1ERERERERUdfn5+Zg+fTq+/vpri+X6RMsx52EvBPjWn4SIwmKBJd+XYd9py7NnjBkzBsuXL0dQUJCLWuZ8+nGBkGAZVs72gY9X1V/7kjKBqf8pQU6e0NXPuAAREREREREBxuMFWjZsiJ0jRnCsQA3RjwkEh4VjznfH4OXrX+X6yoqLsPTROORlp+vqZ0yAiFzBOfMdExERERH9JTk5GTNnzkRUVBSCgoIQHx+P3r17Iz4+HkFBQXi6Tx9JcAMAhFaLjN9+q6EW1y8rV67U/X9e77bVSoQAAH+lAs/3amOyfiIiIiIiIqo5QUFB+PLLL/H555/Dz8/PbLm9pzSY/mEJki5aTgyoK5IuVjxfS4kQfn5+WLNmDb788ss6lQgBSPvto/t5VisRAgB8vGQY1dfTZP1ERERERERU/1gaL/B4XBzHCtQg/T57v/Fzq5UIAQBevv7oN36OyfqJiJyJyRBERERE5BRpaWkYPHgwYmNjsWzZMqSkpJgsF15SYnL9lR07nNk8+suOv46zUu6B8R1bOqTOCZ1aQSn3kNRPRERERERENU8mk2HixIk4evQo4uLizJa7kS/w0ielWLezHBpN3ZxgXKMRWLezHC99Uoob+eafY1xcHBITE/HUU09BJqt7s2VU9ts95cCAuOrdIKHSwC4KeMql9RMREREREVH9Yst4ge6BgSa35VgB16jss8s9legybJxD6uwy7EnIPZWS+omInM0xUU0iIiIiIj2rVq3C3LlzUVxcrFunlHugU9NAdGwahAClAoXlapzLKcDdZu5GefXgQZTn50NZx+64WJsUFBTogk6dmgYiyNvTyha2CfL2RMemgTiSlYeUlBQUFhYiICDAIXUTERERERFR9UVFRWH//v34+9//jiVLlpgsoxXAl/9T4XiaBi897oWQ4Lpzf61rt7RY/G0ZTqdrLZb729/+hrfeegteXl4uaplr6ccFWod5wM/bMckeft4yRIR6IDVTy7gAERERERFRPWRqvIDcU4mwdh0R2jYWXr4BQOEtRKcdNbl91v79HCvgZPoxgbB2HeEd4Jhj7R0QhNC2scg8fZQxASJyGSZDEBEREZFDvfHGG1i4cCGaKpV4unlzNPFSIiLYF2H+XlDI9QZO+ALlvg2Re6vMZD1Crcb/Jk+2GODwCgpC7KxZCAwPd/TTqBfOnz+v+3/Hpo4NJHVqGoQjWXkQQuD8+fMW7zhKRERERERErufl5YV///vfGDhwICZOnIjr16+bLHcqXYsZH5RgziNe6Bvj/j8r7UlWY+n3ZSgqNV+mSZMm+OKLLzBkyBDXNawG6McFWoc6NtklMqwiGYJxASIiIiIiovrljTfewLJ//hNPN2mCgMaNofDyQYOwVghoEgYP+V9xBXURPLQlkJupQ6bV4svhwxHevr3Z/XCsQPXoxwRC28Y6tO6wdh2RefooYwJE5DLuH7UmIiIiolpj1apVWLhwIQDgocaN0bsykaFU4EaphVEGZuSeOmW1jNzLCz3ffNPuugkoK7uTiBKgdGzXwF95J3RVWoXXnoiIiIiIiFxj6NChOHHiBCZMmICdO3eaLFNUCvzzqzIM7a7BlKFKeCsdM4OAK5WWC6zcUo6th9UWyw0aNAhr165FaGioi1pWc/TjAr4OnvzCR3nn/4wLEBERERER1Q+V4wWmNGt2Z6wAANzIrHjYwSs3F1f37bNYhmMFqk4/JuDl69iZG5Q+/rr/MyZARK5Qd+Y0JiIiIqIalZaWhrlz5+qWO0Y2cP5OZTI0u+ce5++njvLyujPSobDc8mAQexWVa3T/9/b2dmjdRERERERE5FhhYWHYtm0bFi9eDIXCfLL8L4fUeO7jEly8qnVh66rvQrYWz31cYjERQqFQ4J133sGvv/5aLxIhAGlcoNj0xJ1VVlJ+5/+MCxAREREREdV9+uMFjhcWQjh7hxwrUC36MYGy4kKH1l1eUqT7P2MCROQKTIYgIiIiIoeYMWMGiouLAQDT4iPw7IC2uP/eFvDxNje5ZfX4hIRgwKefotXgwU6pvz5o06aN7v8nr+U7tO4Tf9Unk8kk+yEiIiIiIqLaycPDAy+++CL27t2LyMhIs+Uu5wg893EJNh9QQQinD22oFiEEftqvwuzlJbicY76td911F/bt24cXXngBHh7156cz/f66oxNcLmRX1Me4ABERERERUf2gP15ANngMcv6+CuoGTZyyL44VqD79vvrV1CSH1p2dchIAYwJE5Dr1J6JLRERERE6TlJSE7du3AwDCg3zwbkIMACA0xBdDEiLQPMzPoftr3r8/hnz/PZr26OHQeuubwMBAtGvXDgBw4loB8ktVDqk3v1SFk9cKAADt2rVDQIBjp9UkIiIiIiIi5+nevTuOHTuGsWPHmi2jUgPLfirHP9aXoaC4diZEFBQL/GN9GT7eXA6VhckQx40bh8TERHTr1s11jasl9OMCF7O1uF3qmNfydqnApb+SKxgXICIiIiIiqvv0xwsEh4VjyJy3URbdHVff+hbFcfc6dF8cK+AY+jGB7JSTKC10zM0TSwvzdckVjAkQkaswGYKIiIiIqm3lypW6/8/r3Rb+SoVu2dtLjnv6NEN8XBN4eMiqtR8PpRLxCxbgno8+gneDBtWqiyoMGjQIAFCu0WLdySsOqXPticso12gl9RMREREREZH7CAwMxPr16/HFF1/Az8/8DQ72n9FgxgclOHlB48LWWXfiQkW79p8x3y5/f3+sXbsW69evR2BgoAtbV7tU9ttVGuC3YxayRuywM1ENlUZaPxEREREREdVd+uMF+o2fCy9ffwCANqABbvxtKXInzIfwVFZrHxwr4HiVfXaNqhyJW750SJ2JW9ZDoyqX1E9E5GwyUdvnMCYiIiKiWi8qKgopKSlQyj2QM28Igrw9TZa7lVeGvQeyUVBYbvc+AiMj0ee999AgKqq6zSU9ycnJiI2NBVAxq0fyjAGSZBZ7FZWrEfPxb0jPL9HVHx0d7ZC2EhERERERkeulpqbiiSeeQGJiotkyMhkwpr8nxt3vCbm8ejdCqA6NRmD9/1T45ncVLP36FR8fj6+//hpt27Z1XeNqKf24QEiwDCtn+8DHq+qvYUmZwNT/lCAnT+jqZ1yAiIiIiIiobqscLyD3VOKVnZnwDggyKuOZfg6Nl82HZ9ZFu+u/LgQm/PADxwo4mH5MIDgsHHO+O6ZLZKmKsuIiLH00DnnZ6br6GRMgIlfgzBBEREREVC0FBQVISUkBAHRqGmg2EQIAGgR74YGBrRAcZN9dH9JLS9Hns88Y3HCCmJgYJCQkAADS80vwwvbkatX3wvZkXSJE9+7dUVZWhoKCgmq3k4iIiIiIiGpG27ZtsX//fjz//PNmywgBfLVLhRdWl+LaLa0LW3fHtVtavLC6FF/vspwIMW/ePOzbt4+JEH/Rjwvk5Al8stX+G1jo+2RruS4RomfPnmjZsmW120hERERERES1l/54gbB2HU0mQgCAKjwKV9/4CuWt2tlVf3ppKV46dw6KZs2q3VaS0o8J5GWnY+vS+dWqb+vS+bpECI4VqFtycnKwdetWvPfee1i0aBEWLFiARYsW4b333sPWrVuRk5NT002keo4zQxARERFRtSQmJiI+Ph4A8H9x4fjkwTiL5TUaLTb+dAFqte2DI0o0GnReuxbx3btXq61k2oULFxAbG4vi4mIAwHuDovF8b/sHhby/LxXzdpwy+bd27dph0KBBmDZtGmJiYqrVXiIisi4nJwdHjx7FqVOnUFRUhPLyciiVSvj7+yM6Ohrx8fEICQmp6WYSERGRm9m2bRsmTJhg8QdOP29g4ThvdLpL7rJ2nUjT4B9fluJ2qfkyISEhWLt2LQYPHuyydrkLw7jA5CFKjOpn/mYX5mzcrcJqE8kUjAkQERERERHVXfrjBbqOfBqjFq40X7i8DC1m3A+P0ts211+i0WBaSgoOHT2KuDjLYxHIfoYxgaFzF6Pf+Ll217N73RL8suQlk39jXMD9aDQa/PLLL1i7di0OHDiAjIwMq9u0aNECPXv2xFNPPYUhQ4ZALnddbJCIyRBEREREVC379+9H7969AQBzetyFJQ/EWiyfkVWEP/dm2b2fprNmYcC0aVVqI1m3atUqTJ06Vbc8LT4C7ybEwF+psLptUbkaL2xPxoqjl2zaV0JCApYvX47IyMiqNpeIiAwwKFn7MUGFiIjqiqtXr+Kpp57C9u3bzZbx9QLWz/eFr5fM6e0pLhN48u1iFJeZLzN48GB88cUXaNq0qdPb464M4wLDuiswaYgSPja8hiVlFTNKbDmktlqWMQEiIiIiIqK6RX+8QJ+xz2H4vPfMlvVJ/ANN/j3b7n28d/kylm3fjl69elW5nWSeYUygx+gpGDLnbXj5+lvdtqy4CFuXzsfBDats2hfjArXbjRs3sHr1aqxcuRLp6elVric8PBxTp07F5MmT0bhxYwe2kMg0JkMQERERUbXYOzPE/kNXcTHd/qkQg/r1w7AVK6rURrLNG2+8gYULF+qWw4N88HyvNpjQqRWCvI3vCJlfqsLaE5fx/v7zSM8v0a1vHuCNB9o0RYBSgcJyNU5ey8eJawUo19yZDcTX1xdLly7F5MmTnfukiIjqOAYlay8mqBARUV2m1Wrx73//GwsWLIBKpTJZ5q1nvNGljfPPZYnnNVjwmekpITw9PfGvf/0Lc+fOhYeHh9Pb4u4M4wIhwTKM6uuJgV0U8PM2Toq4XSqwM1GNjXtUyMm783Njm2YeiG3tgeIy4OJVLS5ma6HS3NmOMQEiIiIiIqK6w56ZIRqufBX+uzfbvY8/8vIw7eefOTOEExnGBILDwtFv/Bx0GfYkvAOCjMqXFuYjcct67F63FHnZd36fCgxphna9B8PLNwBlxYW4mpqE7JST0KjuzCTJuEDtI4TA2rVrMXv2bOTn50v/6OUFNG8OtGgBNGsG+PkBCgWgVgO3bwNZWUBGBpCZCZRJ71YSHByMpUuXYsKECZDJnH/TFKq/mAxBRERERNVSUFCAoKCKzm+3ZsE4NLm/2bJarcD3P6WhXKU1W8Ycz8BAjPrzT3h4Gg/KJ8dZtWoV5s6dq5sGEwCUcg90bBqITk2D4K+Uo6hcgxPX8nHSIMFBKZfh3YExeK7nXUb15peqsO7kFby3L1WSOPHGG2/glVdece6TIiKqgywFJb3kMjQPlKNFgALNAhXw85RB4SGDWitwWyWQVaBGRqEamQUalGmkYSEGJauPCSpERFSfHDlyBEOGDMGNGzeM/rZitg8imjo/AeHSVS2mfVBitD4kJARbtmxB165dnd6GusRUXMBTDkSEeiAyzAM+SqCkHLiQrcWlq9IkBy9PYNpwJYZ0k8ZubpcK/HZMjQ27pUkTjAkQERERERG5P/3xAi2iu+LZdftMF1Sr0PzZAZDftv/GiUUaDR7fvx9BDRpUp6lkhamYgNxTidC2sQhr1xFKH3+UlxQhO+UkrqYmSRIc5J5KDJn9NvqMnWlUb0XixJfYvW6JJHGCcYHaITMzE1OnTsWWLVvurJTJgKgooHfvin9tucmIVgucOwfs21fxr97Q9GHDhmHVqlVo1qyZE54BEZMh6iQhBI4ePYoDBw7gyJEjOHbsGG7cuIHy8nIolUo0btwYcXFx6Nq1K3r27In4+HgOcCAiIqJqiYqKQkpKCpRyD+TMG2JyFgEAyL56G7t2Z5r8W4tmfujcsQmOn7yOjKzbJsvct3o1wv6aYpOc58KFC5g+fTq2b99u8zYDWjfBqhGdEdnAz2K5onI1XtiejBVHL+nWrVy5ElOmTKlqc4mI6h1TQUkZgKjGnujdwhtRjT3hYUM/XysEzt1QYV9GKc7dUEE/QMSgpP2YoEJERPVRWVkZQkJCUFAgHcjQtIEMa+b5uOTcJYTAU++WSAbZA0BgYCBycnLg5eXl9DbUNVWJC3RpK8esh5QIa2j+x/GSMoFPtpZjyyG1bh1jAkRERERERO6vcryA3FOJV3ZmmpxJwDtpH0IWzzC5fXH8fcgbMwfBXy+B79HfTZbhWAHXqEpM4K7u9+GRV5ajYYtIi+XKiouwdel8HNywSreOcYGatXfvXowYMQK3bt26szIuDhg8GGjUqOoV37wJbNsGHDumW9WgQQNs3rwZffr0qUaLiUxjMkQdUlhYiPXr1+Pjjz9GcnKyzdvFxMRgxowZePLJJxEQEODEFtZPTE4hIqL6YObMmVi2bBkA4MMhHTGzu+lO7qGj13D+gnRwoIeHDPGdm6BNZBBkMhmEEEhNy8fhYzkwPCO2eewxdH/tNWc8BTIhOTkZK1euxI4dO5CSkgJTXYc+LRti5fDOiA4JtKvu9/elYt6OUwAqpsFMSkpCZKTl4AgREZkOSsaFKjH4Ll808pVXud6bxRpsSyvGsat37uLDoKTtmKBCRET11ZYtWzB8+HCj9Y/0VWDKUNclIazcUoYf9qqN1m/ZsgVDhw51WTvqGmtxgSA/4N5YBYb28LRrFpCNu1VYvbXiupMxASIiIiIiIvenP15gxItL0fsJ46SHBp++gYBdGyXrhKcSt8bNQ9GARyvuRC8E/Hd+iwZfvQ+Z3qwDAMcKuJotYwXCO/fGwy8vQ9O7ou2qe/e6JfhlyUsAGBeoSTt27MBDDz2EkpK/ZlwNCABGjQKi7Xs9LTp1Cti4ESgsBAD4+Pjgxx9/xKBBgxy3DyIwGaJOEELgs88+w7x585CXl2f0dw8ZEKD0gMIDUGuBwnIttCZe9eDgYLz33nt45plnOBjfAZicQkRE9UlycjJiY2MBAOFBPkieMQD+SoWkjFYIbNp8AaVlGt26oEAl+vQMQ3CQdIBEUbkaA1b9iVFBjdHC21u33rtRI4zctQse8qoP9qSqKSgoQFpaGqZNm4ZDhw4BAKbFR2D58M5VrnP6z8d1M0QkJCRg27ZtDmgpEVHdZRiUDFDKMKqDP6JDlA7bx6mccmw8U4TC8orAAYOS1jFBhYiI6rNnnnkGn3/+udH6f0/1xt3hruu7n0rX4PmVpUbrn3nmGXz66acua0ddVlBQgMGDB+PAgQMAgMHxcswd5W1lK/M+3FSmmyGCMQEiIiIiIiL3pj9eIDgsHHO+OwYvX/87BbQaNJ85CPKCXN2q8uaRuDlzMVQt2xrVJ1JOQPnaeITJ7yTec6xAzTE1VqDH6CkYueCjKte56a2ZuhkiGBdwvT179iAhIeFOIkS7dsC4cYCvr+N3VlwMfPklkJICoOK3xx07dvC3LnIoJkO4uYyMDEyePBm//vqrZH1EsAKdQ73QMlCOMH8FPOV3khtUGoHsIjWuFGhwLLsM6fnSuyU98MADWL16NVq0aOGS51DXMDmFiIjqq8GDB+umSjQ1SP72bRV+/OWibrlNZBC6dGoChcL4zoGVg+SVMhnmd+2KqNu3dX97aMcO+PGOyDUiKSkJHTt2BGA+6cUeReVqxHz8G9LzS3T1x8TEOKSt5BwFBQU4f/48ysrK4OXlhTZt2iAw0L5ZQYioagyDku0aeWJcrD98PW2/A6+tilVafJlUhJSbKgAMSlrCBBUiIqrPVCoVQkNDkZubK1nfKFCGdS/6wMPDdXFtrVbgycUlyC2UBtsbNWqEq1evQqGoet+VKujHBEKCZVg52wc+XlV/jUvKBKb+pwQ5eUJXP2MCtR/jAkREREREZI7+eAHDgfLyG1loPufOzI2FAx5F3ti/QXj5mKxr01szcWzjajzZtCkGNGyoW8+xAjVHPy5gMuHFTmXFRVj6aBzystN19TMu4BqZmZmIjY29c5OvmJiKRAhnxs/UamD9+oqZIlBx86/k5GTOhk4O4/hfzMlljh07hi5dukgSIeJClZjbMwjPdgtCn5beaBXkKUmEAABPuQytgjzRp6U3ZnYPwpyeQYgLvfMj/a+//oouXbrg2LFjLnsudUVGRgaGDh2KSZMmSRIhIoIVGNneD7O6B+Kf9zXEK/c0wPy+DfDKPQ3wz/saYlb3QIxs74fwoDsnlLy8PEyaNAlDhw5FRkZGDTwbIiIi+yxfvhy+f2WJrzh6Ce/vS5X83cdXgYhWAQgKVKJfrzB0j29qMhHi/X2putkCFD4+eOqbb9B3yRIEtWmDiAcfhG9oqNOfC5m2cuVK3f/n9W5brUQIAPBXKvB8rzYm66faIzk5GTNnzkRUVBSCgoIQHx+P3r17Iz4+HkFBQYiKisLMmTPtmg2NiOyTmZmJBx98UDfgPiZEiac7BzglEQIAfD098HTnAEQ38QQAlJSUYMSIEcjKynLK/tzVnj17JIkQ7Rp5Yl7vYIcmQgBAdIgS83oHo12jO6/HQw89hL179zp0P0RERPb6448/jBIhAKD33XKXJkIAgIeHDL3vNr4z5M2bN/HHH3+4tC11lX6ffXQ/z2olQgCAj5cMo/p6mqyfahfGBYjcW0FBARITE7F//34kJiaioKCgpptEREREdZT+eIGDG1Zh97olur9pGjbF7T7DUN7iLlyf/T5uPf2y2USI3euW4OCGVSgXAt8UFKDt/PkcK1AL6Pfb+42fW61ECADw8vVHv/FzTNZPziOEwNSpU+8kQlTOCOHsG4koFMCTT1bsD8CtW7cwZcoU8F7+5CicGcJNJSYm4v7770d+fj4AINBLhtEd/NGhSdV/cD9zvRwbzhShoKziLREUFIRdu3YhLi7OIW2u644dO4bBgwfj+vXrunVxoUr0j/BBswDbTxaZhWr8cakEx66W69Y1adIE27Zt42tBRES13qpVqzB16lTd8rT4CLybEGPToPmicjVe2J6sS4SorG/y5MnOaCpVQVRUFFJSUqCUeyBn3hAEeXta38iK/FIVQt7binKNFlFRUTh79qwDWkqOkJaWhhkzZuju4GKLhIQELF++HJGRkU5sGVH9IoTAiBEjsGXLFgAVA+6f7hwAhQsGGKq1Ap8fL9TNEDFs2DBs3ryZsxfC+K45MSFKjIv1d+rrotYKrD9ZiFPXK14P3jWHiIhq2rRp00z+UL14kjc6RRonJjjbiTQNXvq01Gj9tGnTsHz5cpe3p66pjAl4yoFvXvaFn3f1r3tulwo88WYxVBowJlALMS5A5L6Sk5OxYsUK7NixAykpKUZ/b9euHQYNGoRp06bx7rs1gLPsEBFRXWY4XqDH6CkYMudtmwbOlxUXYevS+Ti4YZWkPo4XqB0q4wJyTyVe2ZkJ74CgatdZWpiPfw5sDo2qnHEBF/niiy8wceLEioWAAGDePOCvJCaXKC4G3n0XKCrStWfChAmu2z/VWUyGcEMZGRno0qWLbtB9RLDCYXeELFZp8fnxQlzKUwOoGISfmJiIFi1aVLvuuozJKURERHe88cYbWLhwoW45PMgHz/dqgwmdWpkcPJ9fqsLaE5fx/v7zSM8vkdTzyiuvuKTNZF1BQQGCgioCGt2aBePQ5P4Oq7vb6t9xJCsPMpkM+fn5CAgIcFjdVDWrVq3C3LlzUVxcrFunlHugU9NAdGwahAClAoXlapy8lo8T1wpQrtHqyvn6+mLp0qUMTBI5iH5QMkApw7zewU6bEcKUYpUW7+7LQ1G50LWnvgclmaBCREQEaDQaNGvWDDk5OZL1QX7AV3/3hdzFM0NUtElg7L+KkV8sXd+0aVNkZmZCLnd9gkZdoR8TaNfCAx/MMH33zqqYtawEqZlaxgRqGVNxAU850DrMA61DPeDrBRSXARevanExWwuV5s62jAsQ1RwmMdVeTFAhIqL6xHC8QHBYOPqNn4Muw540OYC+tDAfiVvWY/e6pcjLTpfUw/ECtYN+XKBFdFc8u26fw+r+6MleyDx9lHEBF7hx4wbatGmjG+OKiROB6GjXNyQ5GfjiCwBAcHAwUlNT0bhxY92fc3JycPToUZw6dQpFRUUoLy+HUqmEv78/oqOjER8fj5CQENe3m2o1JkO4GSEEhgwZgm3btgGoSISY3CUQSrnjflgo1wisTizQJUQ88MAD+OWXX/jDuhlMTiEicgzeCaduMTeQumPTQHRqGgR/pRxF5RqcuJaPkxxI7RYSExMRHx8PAPi/uHB88qDjEjQn/XQMnx5L1+2HyZ81y1RC07zebTG+Y0uzCU3rTl7Be/tSmdBE5GCGQcmJnQIQHVL1pPuqSs4pxxcnCgGYDkrWN0xQISJyPMYE3M+ff/6Je++912j9kG4KzH7Yy+76hBA4cUGLC9laRIZ5oFOkR5V+k1j6fRl+PaI22d5+/frZXR9V0I8JDO6qwNxH7H+NzVnyfRm2/fWaMSZQOxjGBUKCZRjdzxMD4hQmZwS5XSrw2zE1NuxWISdPSOphXIDIdUzF5OWeSoS164jQtrHw8g1AWXEhrqYmITvlJDSqcl05xuSdhwkqRES2YVyg7jF3bRLaNhZh7TpC6eOP8pIiZKecxNXUJF6b1HL6cYGuI5/GqIXGM4VW1cZ/TMWRTZ/r9sO4gPP861//woIFCyoW4uKAsWNrrjFffQUcOwYAePPNNxEbG4u1a9fiwIEDyMjIsLp5ixYt0LNnTzz11FMYMmQIb4JCUNR0A8g+n332mS4RItBLhqc7Bzg0EQIAlPKKet/fn4eCMoFff/0Vn3/+OZ555hmH7qcuEEJg0qRJkkQIRyan+Hp6YHKXQF1yyvXr1zF58mQmpxBRncE74dRdU6ZMwcCBAzF9+nRdkL9co8WRrDwcycozux2D/LVXWVmZ7v8BSsd2I/yVdzqmpaWlDq2b7LNq1SrJgIdp8RF4NyEG/hZe8yBvT8zsHomJnVvhhe3JWHH0EgDg1VdfRUhICKZMmeLsZhPVWatXr9YlQsSFKmskEQIAYkKUiAtV4tjVcuTl5eGTTz7B/Pnza6QtNe3GjRuYPXu2bnlUB3+XJkIAFbGCUR38dQkqs2fPxtChQ+t1ggoRuSfGBNzbxo0bTa7vE23/D495RQL/3liGQ+fu3Fq+e5QcfxvlhWB/++LgfWPkJpMhNm7cyGSIatCPCfg6Lg8CAOCjd4nLmEDNM4wLDOuuwKQhSvh4mf8s+nnL8GAvTwzqosAnW8ux5VDFZ5BxASLXMX335bnoMmychbsvf4nd65YgLzsdxcXFmDJlCq5du8YkJgeqaoLK9u3bERsby0GgRFTnMS5Qt5kaL6BRlSPz9FFknj5qdjuOF6id9OMCXr6OnblB6eOv+z/jAs6j0WiwYsWKigWZDBg8uGYblJAAHD8OCIGFCxdCo9FY3URfRkYGNmzYgA0bNiA8PBxTp07F5MmT+VtZPcaZIdxIYWEhWrVqhby8PADAM50D0KGJ8wZCnLlejs+O37nz4+XLlzkNkYFPP/0UkyZNAlCRnPJ8L+fcDbJYpdUlp1Tul8kpROTOeCec+iU5ORkrV67UBbL0Lz9lMpkkkBVdE1PwkU04M0Tdl5aWho4dO+p+nHs/IQZ/69XG7nre35eKeTtOAai4c0tSUhK/u4mqQKPRIDIyEpcvX4YMwEt9gtHIt+buanKjWIN39uZBAAgPD0daWlq9vMuK/l1z4kKVGBtbc3GSr5IKcexqua5d9TVBhYjcD2MC7k+r1SI8PNzoLm3+3sDXC3zhqbA9geHYeQ3e+a4MtwqNf6pqGCDDC496Ia6N7dccKrXAE28V47bBb+ctW7ZEeno6bzJURZwZon4wjAtMHqrEqL7GM0Ras3G3Cqu3VlynMi5A5HyrVq3C1KlTdcs9Rk/BkDlvw8vX38JWFcqKi7B16Xwc3LBKt27lypVMYnKA6iao6NfDBBUiqmsYF6h/OF7A/XFmCPf3888/Y8SIERUL7dsD//d/NdsgAPj0U+DsWek6Ly+geXOgRQugWTPAzw9QKAC1Grh9G8jKAjIygMxMQC9JB6gY47x06VJMmDCBMcB6iMkQbmT58uWYMWMGANf94K7/w/ry5csxbdo0p+/TXTA5hYioakzdCUcp90CnpoHo2DQIAUoFCsvVOHktHyeuFaBco9WV43SI7q+goABpaWkoLS2Ft7c32rRpw/OZmygoKEBQUMWPNN2aBePQ5P4Oq7vb6t9xJCsPMpkM+fn5fE/UkMGDB+sCz9PiI7B8eOcq1zX95+O6GSISEhJ0s9sRke30g5LtG3vi/+JqfkrwTxMLcPamCkBF+4YNG1bDLXItJqgQEVWfqZiApxxoHeaB1qEe8PUCisuAi1e1uJithUrvhmCMCdQeBw8eRM+ePY3WD4xTYN6jtg2SV2sE1u5Q4bvdKlj6lUomAx69xxMTBnpCYeOMzO9+V4bfjhnPDnHw4EF0797dpjpISj8m0K6FBz6Y4eOwumctK0FqppYxgVpAPy4wrLsCs0ZWPenlw01luhkiGBcgch7DJKahf3sH/Z6cY3c9u9ctwS9LXgLAJCZHYIIKEZF5VZ01B2BcoK7geAH3pB8XaBHdFc+u2+ewuj96shcyTx9lXMDJHn30UWzYsKFi4ZlngA4darZBAHD6NPB5RSIMAgKARx8FoqIADxtuRq7VAufOAfv2VfyrF2AcNmwYVq1ahWbNmjmp4VQbKWq6AWQbIQQ+/vhj3XL/CMcFmi25N8JHlwzx8ccfY+rUqcya+sv69et1iRBxoUqnJkIAQIcmSsSFKnHsajny8vLw5ZdfMjmFiNyO4Z1wwoN8MK93W4zv2BJB3sZ3GcsvVWHdySt4b18q0vNLOFVzHRAYGMhMfjcVGBiIdu3aISUlBSeuFSC/VGXyc2uv/FIVTl4rAFAx3S2DGzUjKSlJN+AhPMgH7yZUb7rhdxNisPX8NaTnl2D79u1ITk7mFMZEdvriiy90/+/dwrsGW3JHr5beumSINWvW1LtkiK1bt+Ly5csAgKjGnjWaCAEAjX3liGrkibM3VUhPT8evv/5a714TInIvhjGBkGAZRvfzxIA4Bfy8jWPOt0sFfjumxobdKuTkCcYEahHdD6cG+sbYdm7MztXi7W/KcC5Da7WsEMC3f6hwIk2D+U94Iayh9R9D+8bITSZDbNiwgckQVaQfE7iYrcXtUmHyc2uv26UCl65WvA8YE6hZ+nGBkGAZJg2p3m9ek4YocThFg5w8wbgAkRPNmDFDN5i0x+gpVUqEAIB+4+fi5pU0HNywCsXFxZg+fTqTmKooLS0Nc+fO1S3bm6Di5euPkQs+QqOWd+kSVObOnYuBAwcyQYWI3F51Z81hXKBu4HgB96QfF8hOOYnSwnyTn1t7lRbm42pqEgDGBZztwIEDFf/x8qpIOKgN2revaE9ZGSCX25eg4eFRUb5DB+DmTWDbNuDYMQDAli1bEBMTg82bN6NPnz5OajzVNjak0FBtcPToUSQnJwMAIoIVaBbgmjyW5gEKhAdV7CspKQmJiYku2W9tV5PJKZU+/vhjcGIXInInq1atkgQ3psVHIHnGAMzsHml2QHWQtydmdo9E8owBmBYfoVv/6quvYtWqVSa3ISLnGTRoEACgXKPFupNXHFLn2hOXdTPAVNZPrrdy5Z2pTOf1bgt/ZfX6G/5KBZ7v1cZk/URkm8qgpJdchqjG1U8+c4T2jT3h9dcdmQ8ePFjDrXG92pqgUmnNmjU11xAiIisMYwLDuiuwcrYPHuzlaXZAtZ+3DA/28sTK2T4Y1v3O9SljAjVLCIGNGzcarfdRAl3aWE+G2HVCjWc/LLEpEULfuQwtnv2wBLtOGCc5GIpvI4ePiXHcGzduZEy9Gir77CoNTCabVMXORLVuBhjGBGqWfr99dD9P+HhVL9nFx0uGUX3v9GMYFyByPP0kpuCwcAyZ83a16hsy520Eh4UDgC6JieznyASVHqMrZoOoTFAhInJnhnGBHqOnYM53x9D7iRlmB1R7BwSh9xMzMOe7Y7rvRIBxAaKaUtlv16jKkbjlS4fUmbhlvW4GGMYFnCcnJwcZGRkVC82b2zbzgit4eFS0BwDy8oCioqrV06gRMHYsMHFixQwTAG7duoVBgwZhx44dDmkq1X615F1N1ugyswB0Dq36tLRVERd2Z3/67ajPmJxCRGQfwzvhvJ8Qg+XDO9s82NZfqcDy4Z3x3qBo3bq5c+fiwoULDm8rEZmnPyvVe/tSUVRevcEPReVqvL//vMn6ybUqgwBKuQfGd2zpkDondGoFpdxDUj8R2UY/KNk8UA6PWjJDo4dMhuYBFYMcr1y5guvXr9dwi1yLCSpERFVjGBOYPFSJWSO9bB5o6+Mlw6yRXpisd5dyxgRqzvHjx3Hx4kWj9d3by6H0NP+alpQJvL+hDIv/W4biMvP1t2jRwuzfisuAxf8tw783lqGkzHxSg9JThu5RxokZFy5cwIkTJ8zvnCzS77Nv2K2y+BrYoqRMYOMelcn6yfUq++2ecmBAnGN+8xrYRQFPubR+InIc/SSjfuPnwsvXv1r1efn6o9/4OSbrJ9swQYWIyDRTs+aMXPCRzeeuyllzhs5drFvHuACR6+n323evW4Ky4ioOXP9LWXERdq9barJ+cqyjR4/eWbAQe6sRlckQAFCZsFFV0dHAvHlAu3YAgJKSEjz00EPYu3dv9eolt8BkCDdx5MgR3f9bBto21bSj6O9Pvx31GZNTiIjso38nnGnxEfib3t3C7fF877a6GSJ4Jxwi14uJiUFCQgIAID2/BC9sr96PLy9sT0Z6fgkAICEhAdHR0Va2IGcoKChASkoKAKBT00Czs/XYK8jbEx2bBgIAUlJSUFhYaHe7EhMTsX//fiQmJqKgoMAh7SJyB/pByRYuSr63VfPAO+2RBE/rOCaoEBFVnX5MYFh3heRO4fYY1c9TN0MEYwI1x9SsEADQN9r8NUtqpgYzPyrBjkTzCfVKpRJLly5Feno6lixZAk9P8++T7UfVmLmsBKmZGrNl+sSYbo+59pN1+jGBnDyBT7aWV6u+T7aWIyevIqGCMYGapR8XaB3mYXbGHnv5ecsQEVrxUzTjAkSOV5lkJPdUosuwcQ6ps8uwJyH3VErqJ9sxQYWIyDTOmkNUN+jHBfKy07F16fxq1bd16XzkZacDYFzA2U6dOnVnoVmzmmuIKfrJEFevVr8+X1/g6acrEiNQkRAxYsQIZGVlVb9uqtWYDOEmjh07BgDwkAFh/q4dCBHmr4DHX3FPzkRQgckpRES2078TTniQD95NiKlWfe8mxCA8yAcA74RDVBOWL18OX19fAMCKo5fw/r7UKtXz/r5UrDh6CQDg6+uL5cuXO6qJZKfz5+/MztGxqempiKuq01/1CSEk+zEnOTkZM2fORFRUFIKCghAfH4/evXsjPj4eQUFBiIqKwsyZM/ndT3WeflCyWWDtTYaoT59FJqgQEVWNfkwgJFiGSXqzO1TFpCFKhARXBKsZE3A9IQQ2bNhgtN7LE+hmYiYGrVbg+z0qzF1Risyb5mcRaNeuHQ4cOIDZs2fDw8MDc+bMwYEDB9Dur7u4mZJ5Q2DuilJ8v0cFIYzr7tZODlMTkjIZonr0YwJbDqmxcbfKyhambdytwpZDFckxjAnUPP3+eutQx/50HBlWUR/jAkSOpZ/EFNauI7wDHBPT8w4IQmjbWABVS2Kq75igQkRkjLPmENUt+nGBgxtWYfe6JVWqZ/e6JTi4YRUAxgVcoahIbxYPP7+aa4gp+u0pr96NN3QUCuDJJ3UzRNy6dQtTpkwxGUOkuoPJEG7ixo0bAIAApQc85a69+6CnXIYAZcVb5ebNmy7dd23F5BQiItvp36lmXu+28Df1S7Qd/JUKPK83swTvhEPkWpGRkViy5E5QY96OU5j+83EUlZu/w6e+onI1pv98HPN23Bnou3TpUkRGRjq8rWSbsrIy3f8DqvkdbchfeWdAVGlpqdlyaWlpGDx4MGJjY7Fs2TLdj7mGUlJSsGzZMsTGxmLw4MGcApnqLP2gpJ9n7ZiBoJJ+e27fvl2DLXEtJqgQEVWNfp99dD9P+HhV77zm4yWTzCzBmIBrnT59GufOnTNaH99WDm+l9LXNKxJ4bW0ZVv1SDrX5CRzwzDPP4OjRo4iLi5Os79KlC44ePYqnn37a7LZqDbDql3IsXFuGvCLpj5k+XjJ0bWecoHHmzBmcPn3afIPIIsOYwOqt5fhwUxlKymz7MbmkTODDTWVYrTerBGMCNU8/LuDr4MnQffRy4BgXIHIc/eSiyuQFRwlr1xGA7UlMVIEJKkREpnHWHKK6xTAu8MuSl7DprZkoKy6ysNUdZcVF2PTWTPyy5CXdOsYFnK9cP8lAUbt+45K0R2MhiFiVeseNA/wrzjtbtmzBunXrHFc/1TpMhnATlV9Iihp6xeR/7Vc/IFqfMTmFiMh2lXeqUco9ML5jS4fUOaFTKyj/OjnxTjhErjdlyhT84x//0C2vOHoJMR//hg8PpiG/1PRdIfNLVfjwYBpiPv5NNyMEALzxxhuYPHmys5tMFnh53RnpUGhjUoutisrvBCy8vb1Nllm1ahU6duyouzMQUHHO6NYsGP8XF445Pe7C/8WFo1uzYN13P1Bxx5/Y2FisXr3aoW0mqg30g5IKj9qVDKHfnvoUI2CCChFR1VT22T3lwIA4x/zQNrCLAp5yaf3kGuZmVegXI31tE1M1mP5BCQ6nmP8BMzAwEF9//TU+/fRT+PubHgzj7++Pzz77DF999RUCAwPN1nX4nAbTPyxB4nnp/vrGmH7PcXaI6jGMCWw5pMbU/5Tgx30q3C41nRRxu1Tgx30qTP1PiW5GCIAxgdpCPy5Q7OBL/BK98Rb2xAU85UC7Fh4Y3FWBh/soMLirAu1aeOi+/wHGBah+0++Pe/kGOLRupc+d87KlJCaSYoIKEZFpnDWHqO4xjAsc3LAKSx+Nw75vlqG0MN/kNqWF+dj3zTIsfTRONyMEwLiAqyiVencqUDt2PEC16bdHbnxjk2rx9QVGjdItzp49Wzful+qeWpbmQ+ZUfiGptTWzf81f+9UPiNZnTE4hIrKN/p1wOjUNRJC3p5UtbBPk7YmOTQNxJCtPdyecgADHBvyJyLJXX30VTZs2xdy5c1FcXIz0/BI892sS5u04hY5NA9GpaRD8lXIUlWtw4lo+Tl4rQLnmzsWsr68vli5dyuBGLdCmzZ3Zdk5eMx2gqqoTf9Unk8kk+6n0xhtvYOHChbrl8CAfzOvdFuM7tjR5zsgvVWHdySt4b18q0vNLUFxcjClTpuDatWt45ZVXHNp2opqkH5RUa2vXlK367alPMQImqBAR2U8/JtA6zAN+3o75/vTzliEi1AOpmVrGBFzMVBKBpxzo3r7ih0qVWmDtThW++9N0knylnj174quvvkLr1q1t2u+YMWPQo0cPjB07FgcPHjRZ5lahwMufl+LRfp6YMMgTCrkMPdrLoZDDaGaKjRs34tVXX7Vp32SaYUwgJ09g+c/l+GRrOSJCPRAZ5gEfZcVA+AvZWly6qoVK73VgTKB20e+vX7zq2B8iL2RX1GdrXCAkWIbR/TwxIE5h8rxxu1Tgt2NqbNitQk6eYFyA6i39/nhZsWNnCigvuXMzAHNJTGSMCSpERMacPWtO5umjjAsQ1RDDuEBedjo2vzMXvyx5CaFtYxHWriOUPv4oLylCdspJXE1NgkZ153cWxgVcS3Ijktp2Uy399ugnbThKTAwQFwccO4a8vDx88sknmD9/vuP3QzWOM0O4icaNGwMACsu1UGlcOxBCpREoLK8IVjZq1Mil+66tmJxCRGQb/TvUdGzqmOBGpU5/1cc74RDVnClTpiApKQkJCQm6deUaLY5k5eHTY+n4z8EL+PRYOo5k5UkSIRISEpCUlMTgRi0RGBiIdu3aAQBOXCswO7uHvfJLVTh5rQAA0K5dO6NA9KpVqyQDHqbFRyB5xgDM7B5pNnkuyNsTM7tHInnGAEyLj9Ctf/XVV7Fq1SqT2xC5I/2g5G1V7UqG0G+Pn59fDbbEtZigQkRkP/2+eutQx/4UERlWUR9jAq5z/vx5nDx50mh9XBs5/LxlyLqpxfOrSi0mQshkMixYsAB//vmnzYkQlSIjI7F79278/e9/h0xmOrFGCODbP1V4fmUpsm5q4ectQ1wb4zvKnThxAmlpaXbtn4yZigmoNEBqphbbjqixaZ8a246okZopTYRgTKD20Y8LXMzWmp3hw163SwUu/ZVcYUtcYFh3BVbO9sGDvTzNJtD5ecvwYC9PrJztg2Hd79zzj3EBqm/0k4uupiY5tO7slIrzvbkkJjKNCSpERMY4aw5R3WYqLqBRlSPz9FEc2fQ59n39IY5s+hyZp49KEiEYF3C96OjoOwtZWTXXEFMyM+/8PzTUOftISAD+iieuWLECGo352WzJfTEZwk3ExcUBALQCyC5y7VQ12UVqVP6u3qVLF5fuu7ZicgoRkW3074QToHTshFT+yjs/ZvNOOEQ1JzIyEtu2bUNSUhJmzpyJqKgoo4EpMpkMUVFRmDlzJpKTk7Ft2zZERkbWUIvJlEGDBgGoSGZZd/KKQ+pce+KyLgmmsv5KaWlpmDt3rm75/YQYLB/eGf42niv8lQosH94Z7w26E7iZO3cuLly44ICWE9U8/aBkVkHtmq42U689MTExNdgS12KCChGR/fRjAr4OztXy0btJGGMCrmFqVggA6Bsjx/+OqzHzoxKkZJi/e1BYWBh27tyJN998E56eVZs51NPTE2+99RZ27NiBsLAws+XOZWgx86MS7DquRt9o42QIwPzzIfswJlB3VPbbVRrgt2OO6YPsTFTrEmGsxQUmD1Vi1kgv+HjZNouQj5cMs0Z6YfKQOycExgWoPtFPYspOOYnSQsfM9lpamK9LrjCVxETmMUGFiMgYZ80hqvsYF3AP8fHxdxYyMmquIaboJ0O0aOGcfTRuDERFAQDS09Px66+/Omc/VKOYDOEmunbtqvv/lQLXZibp70+/HfUZk1OIiGyjfyecwnLHfl8Wld85P/FOOEQ1LyYmBh9++CHOnj2LvLw8JCYmYt++fUhMTER+fj7Onj2LDz/8UHrXAao1pk2bpvv/e/tSUVTN7+yicjXe33/nTjz69QPAjBkzUFxcXPG3+Aj8rVfVfsR7vndb3QwRxcXFmD59etUaTFTL6AclMwprbzKEJHhaxzFBhYjIfvoxgeIyCwWroOTOzeQYE3CRDRs2mFy/95QG73xbZvE1Hj58OE6ePIn777/fIW0ZMGAATpw4gWHDhpktU1wGLP62DPtOm/49xdzzoaphTMD96ffbN+xWoaSsegnAJWUCG/fcmSnGUlxgWHcFRvWtWpLUqH6euhkiGBeg+qYyyUijKkfili8dUmfilvW6u/YaJjGRZUxQISIyxllziOoPxgVqt5CQELSoTDTIzAS05m9o4lJa7Z1kiOBgQO/GZA7Xq5fuv2vWrHHefqjGMBnCTfTs2VP3/+NXHfzLkRXHsu/sT78d9RmTU4iIbKN/h5qT1xwT+K104q/6eCccotonMDAQcXFx6NWrF+Li4vgDjRuIiYnRTWGanl+CF7YnV6u+F7YnIz2/BEDFVKf6ga2kpCRs374dABAe5IN3E6o3cPfdhBiEB/kAALZv347k5Oq1nag20A9KZhZooBW1YyYCrRDILKzok7Zs2RJNmjSp4Ra5DhNUiIjsp99Xv3jVsT+wXciuqI8xAddIT0/HkSNHTP7t4Fnz8XGlUokPPvgAP/30k262ZUdp0qQJNm/ejP/85z9QKpVmy5lr3+HDh3H58mWHtokqMCbgnvTjAjl5Ap9sLbeyhWWfbC1HTl5FP8ZSXCAkWIZJQ8x/hm0xaYgSIcEVdx5lXIDqE/0ko93rlqCsuMhCaevKiouwe91Sk/WTbZigQkQkxVlziOonxgVqJ92437Iy4Ny5/2fv3qOiutN84X+riqqCggJsQUVUFBVjBBVIx1ucTk4ENWiSPtoz6XiJSSsobaJEM7pykqw1bU4nbeIB2xgUTUy8zPS7gmfiQUQgmaSXibcRUMBLUIxEERVsqygoqPv7R8mmuKhA7boA389aruza1H724w4W1FP7+T2eTabFpUv2fABgxAjXnuuxx4D7TXqnTp1y7bnII3w8nQB1TXx8PKKjo1FeXo5rGjNu6swYqnb9/75qnRlVWvuH6uPHj8fw4cNRW1vr8vN6u3H3x+YA9uaUGcPd12Xs2Jwybtw4/v8gIq83evRoVFZW4tztemibTQjy7dkqX460zSaU3q4X4jc3N3P8JRGRk95//3388MMP0Ov12FF0DWN+5Y9108d2O86W45exo+gaAEClUuH9999v8ztrRkaGsL1++lgEKJx7XxOg8MG6aWPwxtEyIf4HH3zgVMwW/elGb/I+U6dORXZ2NgwWG36qM2F8qHM3CInhUp0JBov9hqbJkyf3q/ejEokEQ4cOxc2bN4UGFWm7Uc+e4NigEh4eDgD96v8LEXm/lprAzzVWNDbb4O/r/GtnY7MN1+43V7Am4B579+7t9jFjx47Fzp07ER0djbq6OhdkZff73/8e0dHRSElJwZUrVx59gIO9e/ciJSXFRZkR9T6OdYHc02YMHSjFgpndr+UePGZC7mn7Z4uPqgssnCmHn9K5nw1+SgkWPCVH5mGjEJ91AerramtrMXjwYDz99NP4/vvvoampQl7GRrz49ic9jpmXsRGamioAwNNPP41Bgwbx/WU3/fM//zO2b98OwN6gEv/8UihVPV/dtn2Dyj//8z/z/wkR9TotdYGWqTm+6iCnYzpOzWFdgIioa1588cXWSanHjwPjx3s2IQA4caJ129WLgkulQHg4cPUqrl+/josXL3Zp8RbWBXoPic3mJcsL0iNlZmYiNTUVABA7RIGXY1zfNffvZTqU3HJu9Zf+IG1qkNuaUzJOiruyOhGRO22bOxGrn4x0Ps6pSuGmVyIicp2V8SPxUWJ0lxoWGoxmvFVQLjRCPIpCJsWd9XNFa5Ib9HEejBZxVxzm22XypMOHD2P+/PkAgMdC5PhDbKCHMwI+K67HpbsmT6fhFV6brPaKBpULtUbsOSvuiHkiIldJna/A89Oc/93v0HGTcMMrERG5VtKTPlg+V9GlhoUmg32iREsjxKPIZcDf/pdKtEa5l/63HiaRh7mzLkDeSvKA5vzn0v6CmUvSuh3v2L50HEnf4Gxa1M6UhclONah8/efVOJWdJWJGRESeNf9fMzD9pVSn4xz/23bkbO7+zzsiIrpPIgE2bAAGDvRcDnV1wObNgM0GDBgAbNxob1hwpf/3/4Bjx7p1COsCvYeLv3tITIsXL0ZwcDAAoOSWERdrXfuBz8VaIxshuuj7a01uOc/f3XQeIiJX+fj4ZTQYu/Zh2IM0GM3YcqJ7K/0REVHP7Ci6huhPv8W2U5XQNnd+A7S22YRtpyoR/em3XW6EAIBJgwNFaYQAgCBfOSYO9vyN4kRimjt3LiIiIgAAP9WZcFcv8l093VSnt+AnNkIIjt/wjpXGTlz3jjyIiLoi+5gJTQbnPjxqMthw8Af+PCIicpfc02akbG3CoeMmNDZ3/hre2GzDoeMmpGxt6nIjBACMCpOK0ggBAP6+Eowcwo+9iY6kb8DXf14Ng76hS8836Bvw9Z9XsxHCRU5lZ+HYvvQeHXtsXzobIYiozzm2L73LP6MepP3UHCIi6gGbDcjP92wOBQX2PABg6lTXN0IA9skQ1Ge5fil7EkVtbS0GDRrUZl/2xQasCw6GSi7+C4HeZEX2Red+Ae1PSm4ZETvE6NJVIdmcQkR9QZW2CW8VlCNz3uQex3iroBxVWjaHERG5S5W2CW8cLcP6wvOYODgQkwYHIUAhQ4PRgnO3tSi9Xd+jiQwTBzs/CtnRpMFBOHNTI2rMllX27ty5wxGY5HYymQwpKSl4++23YQOQX6l3y4TIBymo1INrn7RqaVAZqJJ5LAc2qBBRb3NHY18x/PUXlT2OsTvPiDsa/kQiInKnOxobMg8bsTvPiJFDpIgMk8JPATQZgas1Vly7Ze3RRIZRIjcvRIZJcbla3ImRrAuQN+nsfoHOnMrOwk8/5mPmkrWIS1oMX3XHGlyzTovi3P04ti8DmpoqV6RL9x1J34C71ysxd+2HUKoCHvl8g74BeRkb2QhBRH2SpqYKeRkbnZqak5exkT+7iIjEUFICTJoETJjg/nOXl9vPDwB+fsCUKe45r79/tw9hXaD3YDNEL1ZvsGHPWR1WxAVCIRNn5RQAMFps+LxEh3onV+nqb9icQkTUNTuKrmHMr/yxbvrYbh+75fjlbq06TkRE4jFarDhzUyNaw4FaIe7b0QCF525IJnKVFStWYPPmzdBoNCi5ZcSkwUZMGOS6JvwHKb/D5vz22KBCRNQzuafNGDpQigUzuz8h7OAxU7dWHCciInGZLMDlaqtoDQeqnvfGdcrP/W+ViLyWpqYKOZvTcCR9A4aMjUFY1EQo/AJgbGpATUUpbl0ug8XE9/nuwgYVIqJWp7KzMHD4aMxcktbtYzk1h4hIZAcPAqNGASqV+86p19vP2+L553vUpNAjPrxdvi/j/91e7prGjF3F9Xh1slqUm/D1Jis+L9GhSmv/UCkkJATffPMNhg4d6nRsb1RXV4fHH3+8zb4LFy4gJCSkS8fbbDb8/ve/x3/913+5rTnl2Wefxb//+78LXWfeytlrS53jdXUNXlfX6ezaAsD6wvO48o9GfJQYjYAu3AzbYDTjrYLyNo0QW7ZswZIlS8RM1+vodDr8/PPPMBgMUCqVGDVqFNRqNb9nXYTX1XV4bV3DXdf14sWL2Lt3L/7+97+jsrISNlvrrbcSiQSjR4/Gb37zG7zyyit47LHHHhqrtLQUs2bNAgDojOLeyNZgbF2G8ttvv0VMTEyP4jzoZxeRJ4SEhCAjIwPLli0DABy82IBRA1zThP8gepMVBx2a87dt24Z/+Zd/cdv5Xa27r6V3797F1KlTodVqvaZBJSgoCCdPnsTAgQPdnseD8Ge/6/Daugavq+t0dm135Rlx864Vy+cq4Kd8dI2zyWCfKOHYCNEfagKA5+sCNpsNw4YNg8nU+SSiIUOG4NNPP8VTTz0l6nnF9MMPPyA1NRW3bt3q9OsKhQLXr1+HRCLha4EL8dq6Rm+vC+gNoqaJJof7ulkXoP6i/b/5a9eu4V//9V/x/fffAwAsJiOqLxSh+kLRA2M8/fTT2Lx5M0aOHOnibL2TK19L9+7di/feew96vb7bDSoqlQqbNm3qtb/z8me/6/Daugavq2s86PcqMabmsC7A71lX4HV1DV5X1+nJtbXZbFi8eDEKCwsBnQ44cAB49VX3NAqYzcD+/UDD/c8dx48H4uNdf17H89/31ltv4a233ur0aawL9E5shujFAgMDUV9fj2saM7ac0GDh+ACMD+35B/AXa43Ivtgg3HQfFBSEgoICTJo0SayUe4WQkJBujbT58ssvERcXh9raWpc3p4SGhuKLL77o0ghUb9Tda0tdw+vqGryurrej6BryrtzGumljsHTSCAT5dlwVUttswt5zv2DLiSuo0jYJ+zdt2oQ333zTnem6TXl5OXbs2IHCwkJUVFR0+HpUVFSnNxnwe9Y1eF1dh9fWNVxxXUNDQ/FP//RPAID6+npUVlaiubkZvr6+GDNmDNTqrq+K/utf/1rYLr2tFTXPc/fjSSQS/PrXv+5WXkTebOnSpfjqq6+Qm5sLndGGA2UNeHWyGj5S1zfIm6027C9tQIPRXieYN28e/vjHP3p9c76zHvZaGhoaiq1bt3pVg8pf//rXR9505g34s991eG1dg9fVtXJPm/HfFRYseEqOWXE+8Pft+LOlsdmGb4rNOPiDCXc0rTfe9uWaAOBddQGTyfTAn/vPP/88PvvsM6//4Pq3v/0tZs6ciddeew05OTmdPmfAgAGQyzufVsLXAtfhtXWN3lQX+PmWOBMmWlytscdjXYD6k/b/5kNDQ/Hdd9+hvLwcO3fuFH6faN/EFBUVhYSEBKxcuRITJkzwROpeTazX0nXr1uG3v/0tVq1ahYKCAgBda1BJTExEZmYmIiMjnc7Bm/Bnv+vw2roGr6trOTM1h3UB3i/gTryursHr6jpdubZ79uxBTEwM7t27B1RU2BsUFi92bUNESyPE5cv2x35+wIIFgDs/c2xsFDYHDRrE78E+hs0Qvdh//ud/4qWXXkJtbS3qDTZ8flaH2CEK/GakH8LVXf9fW60z4+/XmoQVBQF7oaSgoACTJ092QeZ9y7Bhw5Cfn49nnnkGWq3Wpc0p+fn5GDZsmFipExF5xMcffyyshFOlbcIbR8uwvvA8Jg4OxKTBQQhQyNBgtODcbS1Kb9fDaGn9UEylUiEjIwMrVqzw4N/ANSorK5GamioUxB+koqKi06IHEZE7BAYGIjY21qnjo6KiUFFRgXO366FtNnXaDNdd2mYTSm/XA7AXgXnDA/UlEokEO3fuRHR0NDQaDSrumrC/VIfFE13bEGFvhNDh8j/sK0EPGDAAO3fu7PONEF3hbQ0q/WEFNCLqW1QqFfR6Pe5obMg8bMTuPCNGDpEiMkwKP4V9Ze+rNVZcu2WFydL2uL5aEwC8sy4gl8vxhz/8AZmZmcI+pVKJLVu2IDU1tdf8XhASEoJDhw5h+/btWL9+PQyG1uXoly9f/sBGCCLqSMy6wM81VjQ22zptiOuuxmYbrt1vrmBdgAiIjo7Gtm3bADjfxETOiYyMRH5+PhtUiIjuc7xXoCdTc1gX4P0CROS88PBw5OTkICEhAU1NTcD588CePcCiRYBKJf4J9fq2jRByuX0aRVDHRjiXqq4WNqOjo917bnI5NkP0YjExMSguLsaKFStw9OhRAEDJLSNKbhkREeSD2DAlhgfKEBbgA7mstZBosthQ02DG9XoLSmoMwtSBFnPmzMGuXbt40303xMbG4rvvvsPs2bPZnEJE9AhLly7tsBKO0WLFmZsanLmpeeBxfXUlHADIyspCWloa9Hq9sE8hk2LS4EBMHBwEtcIHOqMZpbe1ONeuQYSIqLdJSEhARUUFjBYr9pVex+onnX9d33vuF+G1MSEhwel4RN4mPDwc+/btw/z58wEA52tN2HNWh0UxAS6ZSKA3WbG/tEFohFCpVMjJycHQoUNFP1dv1NKg0rJqDhtUiIi65/vvv8c777wj1ARMFuBytRWXqx/8Xrcv1wSAzusCchkwKkyKUUOkUCkBvcG+ivrPNW2bRFztr3/9KyIiIvDdd99h+PDhSEtL65Vj4iUSCVavXo3/8T/+B9LT03H9+nU888wzWLdunadTI+p3WuoCJgvwbYkZz09zviHpm2Kz8NrIugBRW842MZE42KBCRGTX2b0C/XlqTovO6gIyuQJhURMxZGwMlCo1DHodbl0uQ01FaZsmESKinpgxYwYOHTqEF154wd4QUVEBfPyxfVqDmM255eXAwYNAw/2J53I5sGwZMGqUeOfoKodmiPj4ePefn1yKzRC93LBhw3DkyBHs2bMH69atg0ajAQBUac1Ck4NUAqgVUsikgMUK6IxWWG0dYwUHB2PLli149dVX+UF6D8TGxrI5hYioi7gSTqtNmzbhvffeEx5HBPlh/fSxWDJxeKerpWubTdhXeh0fH7+MKm2TsP///J//gw8++MAtORMROWPlypXYvn07AODj45exbPIIBCh6/ta0wWjGlhNX2sQn6oumTJnS5nHFXRM+Pq7BgvEBmDCo51MJ2yu/Y8TBi62TB1QqFQ4dOoQZM2aIdo6+oP2qOWxQISLqupEjR7Im4KB9XWBQsAQLZ8rxbKxPp6ulNzbb8G2JGdnHTLijab1mrqoL+Pj4YMOGDdiwYYPosT3h8ccfx65duzydBlG/5lgXyD5mQkKcD/yUPf9csslgw8EfTG3iExF5MzaoEFF/x3sF2mpfFwgOi8DMJWmIS1oEX3XHVdObdVoU5x7AsX3p0NRUCft5vwARdVdCQgIKCwsxf/583Lt3D9DpgC++AGJjgdmzgYEDex68rg4oKABKSlr3+fnZJ0J4ohHCahWaIYYPH47Q0FD350AuxWaIPkAikeC1117D7373Oxw4cADbt29HeXm58HWrDdAaHryqVkxMDFJTU7Fo0SKuOOAkNqcQEXVPf18JJysrq01hY2X8SHyUGP3Qm4KDfOVY/WQklk0egbcKyrGj6BoA4MMPP8SoUaOQnJzs6rSJiJwSHR2NxMREFBQUoErbhLcKypE5b3KP471VUC40hyUmJvbpgjhRezqjDV+cs08lnD1ahYEqWY9j1ektKKjUt5lSOGDAAOTk5LAR4gHar5rDBhUiou7p7zUBoGNdIOlJHyyfq3joTcH+vhI8P02OhDgf7M4zIve0ve7MugAR9RaOdYE7Ght25xnx+ovKHsfbnWcUmsNYFyAiIiLqPVgX6FgXmLIwGXPXfgilKuCBx/iqgzD9pVTEP78UeRkbcSo7CwDrAkTUMzNmzEBZWRlSUlKQm5tr31lSApw9C4wbB0ybBjz2GCDtwkJgVitw6RJw4gTw00+AQ5Mbxo+3T50I6tjk5RaXLgEGA4COC9BR38BmiD5ErVZj5cqVSElJQXFxMU6ePIkzZ86guLgYd+/ehcFggFKpxMCBAxEXF4cnnngCU6dORVxcHG+2FxGbU4iIeqa/rYRTWVmJtLQ04fGWxGi8OW1Ml48PUPggc95kjPmVP9YXngcApKWlYdasWX12PCgR9R2ZmZmIiYmBXq/HjqJrGPMrf6ybPrbbcbYcvyw0halUKmRmZoqcKVHvUHLLiLO3jBg3UI5pw33xWIgc0i68z7fabLhUZ8KJ68346a4Jjn36SUlJyMrK4uSBR2i/ag4bVIiIeqa/1QSAjnWBFc8psOCpjhMiH8RPKcHrLyoxdKAUu/LsPytYFyCi3sKxLpB72oyhA6VYMLPrr4EtDh4zCU1hrAsQERER9V6sCwDPvbkZMxev7fLxSlUAXnz7EwwcPhpH0u3THFkXIKKeaJmGvnfvXqxZswZardbeyHDpkv2PUgmEh7f+8fcHfHwAsxlobLRPXGj5c7/hQCCVAr/7HRAfD3jyHuUTJ4TNZcuWeS4Pchk2Q/RBEokE8fHxiI+P93Qq/RqbU4iI6GFSU1Oh1+sB2CdCdKcRwtG66WNx5R+N2FF0DXq9HqtWrUJ+fr6YqRIRiS4yMhLp6elISUkBAKwvPI8r/2h85HScFg1Gc5vpOACQkZHB4i71O3/961/x7rvvQqvVwgbg0l0TLt01QSmTIFwtQ3igD8IDfeAvl8BHKoHZakOjyYbqerP9j84Cg6XtqMLg4GBs3boVS5Ys4XvTLups1Rw2qBAR0aM41gWSnvTpViOEowUz5bh514rc02bWBYio12hfF9iVZ8TNu9ZHTsdp0WSwtZmOA7AuQERERES9i2NdYMrC5G41QjiauSQNd69X4lR2FusCRNRjEokEr7zyCpKSkrB7927s2LEDVVVV9i8aDMDVq/Y/XSSTyWCxWOzTIkaN8mwjRF2dfVIFgIiICMyZM8dzuZDLsBmCyMXYnEJERO2VlZWhoKAAABAR5IePEqOdivdRYjTyrtxGlbYJBQUFKC8vR3S0czGJiFwtOTkZt2/fFsb/7ii6hrwrt7Fu2hgsnTQCQb4dbwbTNpuw99wv2HLiCqq0TcL+TZs2YcWKFW7LnchbvPTSS/j973/foShpsNhwVWPGVY35ERFaRUREYOXKlVi+fDlCQkJclXKf1dmqOWxQISKiB3GsCwwKlmD5XIVT8ZbPVeC/Kyy4o7GxLkBEvUb7ukDuaTP+u8KCBU/JMSvOB/6+HX/3bWy24ZtiMw7+YMIdTevvzawLEBEREVFv4lgXCA6LwNy1HzoVb+7aD/HTj/nQ1FSxLkDUz9XW1uLMmTM4f/48GhoaYDQaoVAoEBAQgAkTJiA+Ph6DBg164PEhISHYuHEj3nrrLeTl5eHLL7/EqVOncP369Ueee/jw4ZgyZQqWLVuGs2fP4p133rF/IT8fePllsf6K3VdQYJ90AWDlypWQyXo+1Z28F5shiIiIiNxs586dwvb66WO7tAr6wwQofLBu2hi8cbRMiL9t2zanYhIRucO7776LwYMHIy0tDXq9HlXaJrxxtAzrC89j4uBATBochACFDA1GC87d1qL0dj2MFqtwvEqlQkZGBm94oH5NrKLknDlzWPxz0sNWzWGDChEROXKsCyycKe/SKugP46eUYMFTcmQeNgrxWRcgot6gfV3gjsaGzMNG7M4zYuQQKSLDpPBTAE1G4GqNFdduWWGytB7PugARERER9UaOdYGZS9KgVAU4FU+pCsDMJWuRszlNiM+6AFH/NGHChEc+Z9iwYZg6dSpeeeUVzJ07t9PPB2UyGebNm4d58+YBAO7cuYPi4mKUl5ejsbERBoMBSqUS/v7+iI6ORnx8PEJDQ4Xjp0yZgo8//hgajQYoKQEmTQK6kJvoysvt54d98bHly5e7PwdyCzZDEBEREblZYWEhAEAhk2LJxOGixFw6aQTWF56H0WIV4hMR9QbJycmYNWsWVq1aJayCY7RYceamBmduah54XGJiIjIzMxEZGemmTIm8m7NFSRIPG1SIiOhRWt63y2XAs7HifEwzK84Hu/OMMFnAugAR9Sqd1QVMFuBytRWXq60PPI51ASIiIiLqrVret8vkCsQlLRIlZlzSYhxJ3wCLyci6AFE/UFdXh61bt/bo2Bs3biA7OxvZ2dmIiIhASkoKVqxY8dCFuQYNGoQ5c+Zgzpw5XTpHSEgIMjIysGzZMvuOgweBUaMAlapHOfeIXm8/731bt27l4mN9GJshiIiIiNyovr4eFRUVAIBJgwMR5CsXJW6QrxwTBwfizE0NKioqoNPpoFarRYlNRORqkZGRyM/PR3l5OXbu3InCwkJUVFTAdn9cJWBfcT0qKgoJCQlYuXJll1a1IOrPuluUJPGxQYWIiDrjWBcYFSaFv69zUyFa+PtKMHKIFJerrawLEFGvw7oAEREREfUXjnWBsKiJ8FUHiRLXVx2EIWNjUH2hiHUBoj7MZrNh7969WLNmDbRabdsvKpVAeDgwbBgwdCjg7w/4+ABmM9DYCNy8Cdy4AVRXAwYDAKCqqgpvv/02Nm/ejIyMDCxduhQSiTj1yqVLl+Krr75Cbm4uoNMBBw4Ar75qz8nVzGZg/36goQEAMG/ePCxZssT15yWPYTMEERERkRtduXJF2J44WJzCRotJg4Nw5qYGNpsNV65cQWxsrKjxiYhcLTo6WhjbW19fj8rKSjQ3N8PX1xdjxoxh0ZaIejVvblC5c+cOioqKcP78eTQ0NMBoNEKhUCAgIAATJkxAfHw8Bg0a5Ok0iYj6BMe6wKghUlFjR4bZmyFYFyCi3op1ASIiIiLq6xzrAkPGxogaOyxqIqovFLEuQNRHVVdXIyUlxd5c0EIiAcaNA6ZPt/9X+pB6Y3y8/b9WK/DTT8Dx4/b/2mzQaDRYtmwZvvrqK2RlZWHo0KFO5yuRSLBz507ExMTg3r17QEWFvUFh8WLXNkS0NEJcvgwAGDBgAHbu3Clakwd5JzZDEBEREbmR4X53NQCoFeL+KhagkAnbzc3NosYmInK3wMBAFmmJiFzEYrHgyJEj2Lt3L06ePIkbN2488phhw4Zh6tSpeOWVVzB37lzIZLJHHkNERB051gVUSnFj+ylat1kXIKLejnUBIiIiIuqLHOsCSpW4zb4KvwBhm3UBor7lxx9/xPz58+1NBS1iY4HZs4GBA7sXTCoFxo+3/7l7F8jPB0pKAAC5ubmIjo5GTk4OZsyY4XTe4eHhyMnJQUJCApqamoDz54E9e4BFiwCVyun4Hej1bRohVCoVcnJyRGnuIO8m7rJDRERERPRQSmXrnQ46o1nU2A1Gi7Dt6+sramwiIiIi6v3q6urwwQcfYPTo0Xj++eeRnZ3dpUYIALhx4ways7Mxf/58jB49Gh988AHq6upcnDERUd/jWBfQGx7yxB5oMrZusy5ARERERERE5H0c6wIGvU7U2MamBmGbdQGivqOwsBAJCQmtjRBqNbBsGfDyy91vhGhv4EB7nGXL7HEB3Lt3DwkJCSgsLHQu9n0zZszAoUOH4OfnZ99RUQF8/LG9MUJM5eXARx+1aYQ4dOiQKE0d5P04GYKIiIjIjcaMGSNsl97Wihr73P14EomkzXmIiIiIqH+z2WzYu3cv1qxZA6227e+gSpkE4YEyDFP7YGigD/zlEvhIJTBbbWg02XCz3owbOjOq6y0wWGwAgKqqKrz99tvYvHkzMjIysHTpUo4XJiLqIsf36z/fsooa+2qNPR7rAkRERERERETeyfH9+q3LZaLGrqkoBcC6AFFf8sMPP+CFF16wT1UAgKgo10xVmDABGDUKOHAAqKhAU1MTXnjhBRQWForSTNDSXCFMt9DpgC++6Pl0C0d1dUBBgTDdAgAGDBgg2nQL6h3YDEHUj9lsNhQVFeHkyZM4c+YMSkpKUFdXB6PRCIVCgZCQEMTGxuKJJ57A1KlTER8fz5sbiIicFBgYiKioKFRUVODc7Xpom00I8pU7HVfbbELp7XoAQFRUFNRqcUdqElHvU19fjytXrsBgMECpVGLMmDEIDAz0dFpERORm1dXVSElJQW5urrBPAmBciBzTh/liXIgc0oe8148Ps69UZrXZ8FOdCcdvNOOnOhNsADQaDZYtW4avvvoKWVlZHDNMRNQFjnWBn2usaGy2wd/X+ZprY7MN1+43V7AuQESsCRAREREReSfHukBNRSmadVr4qoOcjtus0wrNFawLEPUN1dXVeP7551sbIaKj7Y0QPi667VulAl59Fdi/Hzh/Hk1NTZg/fz7Ky8tF+fxnxowZKCsra/uZVUkJcPYsMG4cMG0a8NhjgFT66GBWK3DpEnDiBPDTT4DNJnwpKSmJn1n1Q2yGIOqHdDod9u/fj08//RTl5eUPfN7NmzdRWlqKL7/8EgAQHR2N1NRULF68mL80ExE5ISEhARUVFTBarNhXeh2rn4x0Oubec7/AaLEK8Ymof7p48SL+7d/+DYWFhaioqOjw9aioKCQkJGDlypWIjo72QIZEROROP/74Y+sqO/fFDlFg9mgVBqpk3YollUgwPlSB8aEK3NVbkF+pR8ktIwAgNzcX0dHRXGWHiKiLWuoCJgvwbYkZz09zfpGEb4rNMFla4xNR/7Rx40b88MMPrAkQEREREXmxlrqAxWREce4BTH8p1emYxbn7YTEZhfhE1LvZbDakpKS0fr7TMhHCVY0QLXx8gMWLgT17gIoK3Lt3D8nJycjJyRFlEe3w8HDk5OS0nWZus9kbGy5dApRKIDy89Y+/vz0nsxlobASqq1v/GAxtYgcHB2Pr1q1YsmQJF/zuh7rQQkNEfYXNZsNnn32GESNGIDU1tUMjhFQCBCmlGOgnRZBSCmm7nwnl5eVITU3FiBEj8Nlnn8Hm0FFHRERdt3LlSmH74+OX0WA0OxWvwWjGlhNXOo1PRP3Lb37zG2zfvr3Tmx4AoKKiAtu3b0dMTAxmz56Nq1evujlDIiJyl8LCQiQkJAiFcrVCgmWT1Hg5Rt3tRoj2BqpkeDlGjWWT1FAr7MWDe/fuCWOOiYjo4Rzft2cfM6HJ4Fydtclgw8EfTJ3GJ6L+5fPPP2dNgIiIiIjIyzm+bz+2Lx0GfYNT8Qz6Bhzbl9FpfCLqnfbu3ds6PUGtdk8jRAsfH/v5AgIA2BfE2rdvn2jhJRIJXnnlFVy5cgUffPABIiIiWr9oMABXrwLHjgF/+xvw2WfAzp32//7tb/b9V692aIQAAD8/P+Tk5CA3NxcWi0W0fKl3YDMEUT9x48YNPPfcc1i+fDk0Go2wf2SwD158zB+vPxmI95/5Fd75pwHY+NQAvPNPA/D+M7/C608G4sXH/BER1PrDVKPRYPny5Xjuuedw48YND/xtiIh6t+joaCQmJgIAqrRNeKvgwVN6uuKtgnJUae1j8RITEzFhwgSncySi3k0hk+LXQ4Pxh9gIrJ0yGn+IjcCvhwZDIWt9C1hQUICYmBjs2rXLg5kSEZEr/PDDD3jhhReE0clRA+VYPz0YEwYpRD3PhEEKrJ8ejKiB9hXNm5qa8MILL+DUqVOinoeIqK9xrAvc0diwO8/oVLzdeUbc0dgbKlgXICK5DIgaJsXsJ3zw2xk+mP2ED6KGSSF36IdlTYCIiIiIyHMc6wKamirkZWx0Kl5exkZoaqoAsC5A1BfU1dVhzZo1rTsWLABUKvcmoVLZz3vfmjVrUFdXJ+opQkJCsHHjRlRWViInJwcLFy5EeHh4j+PV1NQgOzsb8+fPx+jRo/HBBx+InjN5Lze1ChGRJ5WUlGD27Nmora0V9sUOUeDpkX4Yqn7wy4BcJsGIIDlGBMkxY7gvqnVm/P1aE0pu2T+cO3r0KOLi4pCfn4/Y2FiX/z2IiPqSzMxMxMTEQK/XY0fRNYz5lT/WTR/b7Thbjl/GjqJrAACVSoXMzEyRMyWi3iQiyA/rp4/FkonDEeQr7/B1bbMJ+0qv4+Pjl1GlbYJer0dycjJu376Nd955xwMZExGR2Kqrq/H8888LjRDRgxRYFBMAn/bjH0Wikkvx6mQ19pfqcL7WhKamJixZssQl5yIi6ksc6wK5p80YOlCKBTM7/g7/KAePmZB72j5xknUBov5ly5YtbR4PCpZg4Uw5no31gb9vx9/9Gptt+LbEjOxjJtzR2FgTICKiDurr63HlyhUYDAYolUqMGTMGgYGBnk6LiKhPcqwLnMrOwsDhozFzSVq34xzbl45T2VkAWBcg6it27doFrVZrfxAbC3iqwSk62n7+khJoNBrs3r0bGzc617zVGZlMhqSkJNy9e7fz6eMyGRAYCAQHAyNGAOHh9mkZZjPQ2AjcvAncuAFUVwsTI6qqqvD2229j8+bNyMjIwNKlSyGRuOZzMvIOnAxB1McVFxfjmWeeERohApUSvDZZjZdj1A9thOhMuNoHL8eo8dpkNQKV9h8OtbW1eOaZZ1BSUiJ67kREfVlkZCTS09OFx+sLz2PV4bNoMJq7dHyD0YxVh89ifeF5YV9GRgYiIyNFz5WIvNPevXvbPF4ZPxLlqc9i9ZORnTZCAECQrxyrn4xEeeqzWBk/Utj/7rvvIisry5XpEhGRG9hsNqSkpODevXsA7BMhXNkI0cJHKsHiiWphQoTjREoiIupc+7rArjwjtn1tQJPB1qXjmww2bPvagF0OUyVYFyDqP7KysvCXv/xFeJz0pA92rvHD89PknTZCAIC/rwTPT5Nj5xo/JD3Z+vkQawJERP1beXk5Vq9ejXHjxiEoKAjx8fGYPn064uPjERQUhHHjxmH16tUoL3duyjkREbXVvi5wJH0Dvv7zahj0DV063qBvwNd/Xo0j6RuEfawLEPV+FosFO3bssD+QSIDZsz2bUGKiPQ8AO3bsgMViEf0U1dXVmD9/PpYtW9baBCKRAI89Brz2GvDnPwNvvw2kpgLz5tkbNMaMsX89Ph6YPx9YtQr405/sz3/sMSFnjUaDZcuWYf78+bh586bouZP3YDMEUR9248YNzJkzR/ghMTLYB+umBWN8qMKpuONDFVg3LRgjg+3Fcq1Wi9mzZ+PGjRtO50xE1J8kJyfjT3/6k/B4R9E1RH/6LbadqoS22dTpMdpmE7adqkT0p98KEyEAYOPGjVixYoWrUyYiL1FZWYn33ntPeLwlMRqZ8yYjQNG1ZtcAhQ8y503Gxwmtq0ikpaXh6tWroudKRETus3fvXuTm5gIA1AqJWxohWvhI7ecLUHBlHSKirmpfF8g9bUbK1iYcOm5CY3PnTRGNzTYcOm5CytYmYSIEwLoAUX9SWVmJtLTWFWNXPKfA6y8q4afs2u9hfkoJXn9RiRVzWz8rYk2AiKj/qaysxOzZsxETE4Pt27ejoqKi0+dVVFRg+/btiImJwezZs/nzgohIRO3rAqeys5Dxu1gc/9t2NOu0nR7TrNPi+N+2I+N3scJECIB1AaK+Ii8vD7/88ov9wbhxwMCBnk0oJMSeB+zTFo4ePSpq+B9//BExMTHCZ1sA7M0OGzYAf/gDMH48IO3ibe5Sqf35f/iD/fjYWOFLubm5iI6Oxo8//ihq/uQ9urcsPBH1GjabDcuXLxcmQowM9sGKuEAoZOLclKCSS7EiLhC7iutxTWNGbW0tVqxYgSNHjnCkEBFRN7z77rsYPHgw0tLSoNfrUaVtwhtHy7C+8DwmDg7EpMFBCFDI0GC04NxtLUpv18NosXaI8+abb3ogeyLylNTUVOj1egD2iRBvThvTozjrpo/FlX80YkfRNej1eqxatQr5+flipkpERG5SV1eHNWvWCI8XjA+ASu7edVBUcikWjA/Al+d0bj0vEVFv1r4ucEdjQ+ZhI3bnGTFyiBSRYVL4KYAmI3C1xoqfa6wwdywLsC5A1I841gSSnvTBgqc6nw75KAtmynHzrhW5p82sCRAR9TNZWVnC758tZHIFwqImYsjYGChVahj0Oty6XIaailJYTPZpZAUFBYiJiUFGRgZvuCUiEkn7uoCmpgo5m9NwJH0DhoyNQVjURCj8AmBsakBNRSlqKkphNXdcWJF1AaK+4csvv2x9MH265xJxNG0acOkSAOCLL75AUlKSKGELCwvxwgsvoKmpyb5DrQYWLAAmTHj4gV0xcCDw8svApEnAwYOATod79+4hISEBhw4dQkJCgvPnIK/CyRBEfdTnn38uFK0DlRK8OlktWiNEC4XMHjfw/mpDR48exZ49e0Q9BxFRf5CcnIyysjIkJiYK+4wWK87c1OCzkipsPXUVn5VU4cxNTaeNEAAwbdo0jikm6ifKyspQUFAAAIgI8sNHidFOxfsoMRoRQX4A7B9m8XWEiKh32rVrlzAZMnaIAhMGOTcVsqeiBykQO8Qz5yYi6q06qwuYLMDlaivyz5jx9XEz8s+Ycbm680YIwL4CJH+XJ+r7HGsCg4IlWD7Xud+7ls9VYFCw/TMe1gSIiPqHTZs2ISUlRWiECA6LwPx/zcA731Tjj/uOY8F7OzFv/cdY8N5O/HHfcbzzTTXm/2sGgsMiAAB6vR7Jycl4//33PfnXICLqUzqrC1hMRlRfKMKZr/fg+H9sw5mv96D6QlGnjRAA6wJEfcXJkyftG0qlMJHB4x57zJ4PgFOnTokS8ocffmjbCBEVBaxfL04jhKMJE+xxo6IAAE1NTXjhhRc4IaIPYjMEUR+k0+mwfv164fFCF64GqZJLsXB8gPB43bp10Om4AiQRUXdFRkYiPz8fZWVlWL16NcaNG9etSTuVlZUcU0zUT+zcuVPYXj99LAIUzg38C1D4YJ3DZAnH+N6mvr4excXFOHHiBIqLi1FfX+/plIiIvILFYsGOHTsAABIAs0erPJpP4mgVODOSiKh7OqsLdMfnn3/OmgBRP+D4nn3hTDn8lM791uWnlLSZLOHNNQGAdQEiImdlZWXhvffeEx5PWZiMtV+VYPpLqfBVB3V6jK86CNNfSsXar0owZWGysP/dd99FVlaWy3MmIuovWBcgojt37uDGjRv2B+HhgNRLbu+WSu35ALh+/Tpqa2udClddXY3nn3++tREiOhp49VVA5aLPtlQqe/z7jRZNTU2YP38+bt686ZrzkUd4yb8WIhLT/v37odFoANhXgxwf6toVGceHtq76qNFocODAAZeej4ioL4uOjsa2bdtw6dIlpKenw9fXt83XFTIpfj00GH+IjcDaKaPxh9gI/HpoMBSy1l/rWsYU79q1y93pE5EbFBYWArC/HiyZOFyUmEsnjRBeR1rie4vy8nKh6BsUFIT4+HhMnz4d8fHxCAoKwrhx4zgZh4j6vby8PPzyyy8AgHEhcgxUyTyaT4hKhnED5Y9+IhERddBSF3jzzTehavcBoFwGRA2TYvYTPvjtDB/MfsIHUcOkkDu87LMmQNS3tbxnl8uAZ2OdWxyhxaw4H+F1xNtqAgDrAkREYqmsrERaWprw+Lk3N+PFtz+BUhXwkKNaKVUBePHtT/Bc2l+EfWlpabzhlohIZA+rC8jkCgyb8ASeePFVzHj5DTzx4qsYNuEJyOSt94WxLkDUexUVFbU+GDbMc4l05n4zBNAuz26y2WxISUnBvXv37DuiooBFiwAfcWocD+TjAyxeLEyIuHfvHpKTk2Gz2Vx7XnIbF38HEZG72Ww2fPrpp8Ljp0f6ueW8vxnph5JbRgDAp59+iv/5P/+nW85LRNRXbdq0qc3qPBFBflg/fSyWTByOIN+ON5Zpm03YV3odHx+/jCptkzCm+Pbt23jnnXfcmToRuVB9fT0qKioAAJMGB3b6etATQb5yTBwciDM3NaioqIBOp4NarRYldk9VVlYiNTUVBQUFD31eRUUFKioqsH37diQmJiIzMxORkZFuypKIyDt8+eWXwvb0Yb4Peab7TBvui0t3Ox/ZTkRED9e+JjAoWIKFM+V4NtYH/r4dV4FvbLbh2xIzso+ZcEdjY02AqI9yrAmMCpN2+nrQE/6+EowcIsXlaqvX1AQA1gWIiMSWmpoKvV4PwD4RYubitT2KM3NJGu5er8Sp7Czo9XqsWrUK+fn5ImZKRETt6wLBYRGYuSQNcUmLOp3k06zTojj3AI7tS4empop1AaJe6vz5860Phg71XCKdcWiGKC8vx5w5c3oUZu/evcjNzbU/UKvd0wjRwsfHfr6PPgIaGpCbm4t9+/Zh6dKl7jk/uRQnQxD1MUVFRcLqNyODfTBU7Z4fFuFqH0QE2c9VVlaG0tJSt5yXiKgvaj+meGX8SJSnPovVT0Y+8MbnIF85Vj8ZifLUZ7EyfqSwn2OKifqWK1euCNsTB3c+trynJt2PZ7PZ2pzHE7KysjBx4sQ2NzxwMg4R0YOdPHkSAKCUSTAuxDsmMjwWIodSJs4NekRE/Un7mkDSkz7YucYPz0+TP/DGZ39fCZ6fJsfONX5IerK1HsyaAFHf4vhefdQQcT/ijQyzx/OGmgDQeV2A03GIiHqurKxMeE0NDovA3LUfOhVv7toPERwWAcD+2svpPERE4mlfF5iyMBlrvyrB9JdSO22EAABfdRCmv5SKtV+VYMrCZGE/6wJEvUtDQ0PrA39/zyXSGYd8GhsbexSirq4Oa9asad2xYAHQbgKOy6lU9vPet2bNGtTV1bk3B3IJToYg6mNaboAAgMlDlG49d2yYElVaMwDgzJkzbj03EVFf0X5M8ZbEaLw5bUyXjw9Q+CBz3mSM+ZU/1hfau8bT0tIwa9YsrohG1AcYDAZhW60Q9+1cgKL17oHm5mZRY3cHJ+MQEXXPnTt3cOPGDQBAeKAMUol3NCBIJRKEq2W4qrHXCerq6hAaGurhrIiIvFv7msCK5xRY8FTXm9z8lBK8/qISQwdKsSvPPsWXNQGivsOxJqAS+eMfP0XrtidrAgCn4xARucLOnTuF7ZlL0qBUBTgVT6kKwMwla5GzOU2Iv23bNqdiEhFRx7rAc29u7tYkH6UqAC++/QkGDh+NI+kbALAuQNSbGI3G1gfumpbQVQ75ONYnumPXrl3QarX2B7GxwIQJYmTWfdHR9vOXlECj0WD37t3YuHGjZ3Ih0XAyBFEf49iEMDxQ9pBnis/xfOfOnXPruYmI+grHMcUr40d2qxHC0brpY4UJES1jiomo91MqW+920BnNosZuMFqEbV9fX1FjdxUn4xARdV9RUZGwPcxN0yG7KjywNR9OkCQiejTHmkDSkz7daoRwtGCmXJgQwZoAUd/hWBPQ9+y+gwdqcrjfwlM1AYDTcYiIXKWwsBAAIJMrEJe0SJSYcUmLIZMr2sQnIiLnONYFpixM7lYjhKOZS9KECRGsCxD1HgqFw0oFZnHvBXCaQz6O9Ymuslgs2LFjh/2BRALMni1WZj2TmGjPA8COHTtgsVgecQB5OzZDEPUxJSUlAACpBAgLcO9NEGEBPpDer0XzJgciou5zHFMcEeSHjxKjnYr3UWI0IoL8AHBMMVFfMWZMa4NU6W2tqLHP3Y8nkUjanMddOpuMkzlvMgK6OAGjZTLOxwmtK0ikpaXh6tWroudKRORNzp8/L2wPDfTeZoiLFy96MBMiIu/nWBMYFCzB8rmKRxzxcMvnKjAo2F6sZU2AqG9wfK/+8y2rqLGv1tjjeaomAHQ+Hef1F5XwU3Zt8lnLdJwVDq+frAsQEQH19fWoqKgAAIRFTYSvOkiUuL7qIAwZGwMAqKiogE6nEyUuEVF/5VgXCA6LwNy1HzoVb+7aDxEcFgGAdQGi3iIgwGF6V2Oj5xLpjEM+/v7+3T48Ly8Pv/zyi/3BuHHAwIFiZdYzISH2PABUVVXh6NGjns2HnMZmCKI+pq6uDgCgVkghl3WtQCwWuUwCtcL+snLv3j23npuIqC9wHFO8fvrYLt8A/CABCh+sc5gs4RifiHqnwMBAREVFAQDO3a6HttkkSlxtswmlt+sBAFFRUVCr1aLE7Q5OxiEi6pmGhgZh21/u3jrAozjm0/IaT0REnXN8z75wprzLN/8+iJ9S0mayBGsCRL2fY03g5xorGpttosRtbLbh2v3mCk/VBABOxyEicpUrV64I2y3NC2IJi5oIALDZbG3OQ0RE3ef4vn3mkjQoVQEPefajKVUBmLlkbafxicg7TZjQuugfbt70XCKdqa4WNqOju7+w65dfftn6YPp0MTJy3rRpwuYXX3zhuTxIFGyGIOpjjEb7LGMfD/3rlknb5kFERF3XMkZYIZNiycThosRcOmkEFPdfnDmmmKhvSEhIAAAYLVbsK70uSsy9536B0WJtE9+dOBmHiKjnHN9/+0i9qxnCMR/WCYiIHq7lPbtcBjwbK86kn1lxPpDL2sYnot6t5T27yQJ8W2IWJeY3xWaYLG3juxun4xARuY7BYBC2lSpxG94Ufq036jY3N4sam4iov2l53y6TKxCXtEiUmHFJiyGTK9rEJyLvFR8f3/rgxg3PJdIZh2aINnl20cmTJ+0bSqUwkcHjHnvMng+AU6dOeTgZchabIYj6GIXC/kusWdwJyV12/x46IQ8iIuoaxzHFkwYHIsi3ZyuftRfkK8fEwYEAOKaYqK9YuXKlsP3x8ctoMDp380OD0YwtJ1pX7XKM7y6cjENE1HOO77/NVnFWBxaLYz6sExARPZhjTWBUmBT+vuI0t/n7SjByiP1jINYEiPoGx/fs2cdMaDI49/tfk8GGgz+0Tp30RE0A4HQcIiJXUt6/wQsADHpxfx80NrVOq/T19RU1NhFRf+JYFwiLmghfdZAocX3VQcJUINYFiLzfoEGDMGzYMPuD6mrA6qEbQNuzWoVmiOHDhyM0NLRbh9+5cwc3Wpo7wsMBqZfcti6V2vMBcP36ddTW1no4IXKGl3xXEZFYQkJCAAA6oxUmi3tvgjBZbNAZ7T+EBwwY4NZzE3WHzWbDmTNn8Mknn2DZsmV4+umnOzzn9ddfxyeffIIzZ87AZvOuG4qob3IcHzxxsDjFjRaT7sfjmGKiviE6OhqJiYkAgCptE94qcG51w7cKylGlbQIAJCYmth2/6SacjENE1HMBAa2rMDaavOu9i2M+KpXKg5kQEXk3x/fqo4aI+7FNZJg9HmsCRH2DY03gjsaG3XnOTd/anWfEHY39dzZP1QQATschInKlMWNaF425dblM1Ng1FaUAAIlE0uY8RETUPY7v11uaF8QSFjURAOsCRL3F1KlT7RsGA/DTT55NpsWlS/Z8AEyZMqXbhxcVFbU+aGn28Bb3myGAdnlSr8NmCKI+JjY2FgBgtQE1DeKMSO6qmgYzWhZ9nDhxolvPTdQVOp0OmZmZmDhxIn7961/j9ddfx5dffokLFy50eO7/9//9f3j99dfx61//GhMnTkRmZia75MmlHMcUq51cEb29AIVM2OaYYqK+ITMzU7ipdEfRNWw5frlHcbYcv4wdRdcA2G9SzczMFCvFLuNkHCIi5zjesHaz3r11gEepdshn/PjxHsyEiMi7OdYEVMqHPLEH/BwG87AmQNQ3ONYEck+bcfCY6RFHdO7gMRNyT9t/X/NUTQDgdBwiIlcLDAxEVFQUAHvzQrNOK0rcZp1WaK6IioqCWq0WJS4RUX/kWBdQqsR9PVX4tS6mw7oAkfd75ZVXWh8cP+65RBydOCFsLlu2rNuHnz9/vvXB0KEiJCQih2aI8nLnFqEkz2IzBFEf88QTTwjb1+stbj234/kmTZrk1nMTPYzNZsNnn32GESNGIDU1tcMvL1IJEKSUYqCfFEFKKaTtPmspLy9HamoqRowYgc8++4yTIsglHMcU64zi3sTWYGx9feaYYqK+ITIyEn/605+Ex+sLz2PV4bNo6OLrR4PRjFWHz2J9YWvhISMjA5GRkaLn+iicjENE5Jz4+Hhh+4bOe5shuGgCEdGDOdYE9IaHPLEHmhwWjWdNgKhviIyMRHp6uvB4V54R2742oMnQtbp1k8GGbV8bsMthqoSnagIAp+MQEblDQkICAMBiMqI494AoMYtz98NiMraJT0REPeNYFzDoxW3iNTY1CNusCxB5v7lz5yIiIsL+4KefgLt3PZtQXZ0woSIiIgJz5szpdoiGhtbXIfj7i5WZOBzyaWxs9GAi5Cw2QxD1McKoJABnb4n8ydkjlNS0ns+xKYPIk27cuIHnnnsOy5cvh0ajEfaPDPbBi4/54/UnA/H+M7/CO/80ABufGoB3/mkA3n/mV3j9yUC8+Jg/IoJaV+jXaDRYvnw5nnvuOdy4ccMDfxvqyxzHB5feFmdVnhbn7sfjmGKivmXp0qVtHu8ouoboT7/FtlOV0DZ3viqkttmEbacqEf3pt8JECADYtGkTVqxY4cp0H4iTcYiInDNo0CAMuz9WuLreAquXNG9bbTZU61qbckNCQjyYDRGRd3N8r/7zLauosa/W2OOxJkDUtyQnJ2PDhg3C49zTZqRsbcKh4yY0Nnf++2Bjsw2HjpuQsrVJmAgBeLYmAHA6DhGRO6xcuVLYPrYvHQZ9w0Oe/WgGfQOO7cvoND4REXWf4/v1lqk7YqmpKAXAugBRbyGTyZCSkmJ/YLMB+fmeTaigwJ4H7L/zyWSyRxzQkdHosFqLj7j3AzjNIR/H+gT1Pl72nUVEzoqPj0d0dDTKy8txTWPGTZ0ZQ9Wu/6derTOjSmsvnsfExHDFR/IKJSUlmD17Nmpra4V9sUMUeHqk30P/XchlEowIkmNEkBwzhvuiWmfG3681oeSW/Zezo0ePIi4uDvn5+YiNjXX534P6h5YxxRUVFTh3ux7aZhOCfOVOx9U2m1B6ux4AxxQT9QdV2ia8cbQM6wvPY+LgQEwaHIQAhQwNRgvO3dai9HY9jJbWm6tUKhUyMjI8etMDJ+MQETlv6tSpyM7OhsFiw091JowPVTz6IBe7VGeCweIdjRlEj6LTibviHlF3OdYEfq6xorHZBn9fyaMPfITGZhuu3W+uYE2AqO9Zt24d/vKXvwiP72hsyDxsxO48I0YOkSIyTAo/hX1CzNUaK67dssLkMFDcG2oCAKfjEBG5Q3R0NBITE1FQUABNTRXyMjbixbc/6XG8vIyN0NRUAQASExMxYcIEsVIl8gjWBcjTHOsCNRWlaNZp4at2fpp6s04rNFewLkDUe6xYsQKbN2+2L/pbUgJMmgR44vet8nL7+QEEBwdj+fLlPQqjUDh8ZmX2rgnnjvk41ieo9+FkCKI+RiKRIDU1VXj8/bUmt5z37w7nSU1NhUTi/Id1RM4oLi7GM888IzRCBColeG2yGi/HqLvdIBSu9sHLMWq8NlmNQKX9e7u2thbPPPMMSu7/0kckhpYxwkaLFftKr4sSc++5X4QbnzmmmKj/MFqsOHNTg89KqrD11FV8VlKFMzc1bRohEhMTUVZW5vGbHjgZh4jIea+88oqwffyGd6x4e+K6d+RB9CDl5eVYvXo1xo0bh9GjR3f4+rRp07B69WqUl5d7IDvqj1res5sswLcl4nwo+E2xWbjxmTUBov7DZAEuV1uRf8aMr4+bkX/GjMvVbRshvKUmAHA6DhGRu2RmZkKlUgEATmVn4di+9B7FObYvHaeyswDYG+syMzNFy5HInVgXIG/T8r7dYjKiOPeAKDGLc/fDYjK2iU9E3i8kJAQZGRmtOw4eBPR69yah19vPe9/WrVt7PAE8ICCg9UFjo7OZicshH39/fw8mQs5iMwRRH7R48WIEBwcDAEpuGXGx1vjwA5x0sdYorJgfHByMRYsWufR8RI9y48YNzJkzB1qt/QbIkcE+WDct2OnVUceHKrBuWjBGBtubKbRaLWbPno0bN244nTMR0HaM8MfHL6PByRXSG4xmbDlxpdP4RNQ3/f3vfxeK9+2bUyUSCcaNGycU7/Pz8xEZGemhTFu1rHYDQJiMIwZOxiGi/mTu3LmIiIgAAPxUZ8JdveURR7hWnd6Cn+6K83pOJLbKykrMnj0bMTEx2L59OyoqKh74vO3btyMmJgazZ8/G1atX3Zwp9TeO79mzj5nQZHBuuk6TwYaDP7S+FrMmQNQ//OEPf+hVNQGgbV2gZTqOGDgdh4iorcjISKSntzZAHEnfgK//vBoGfUOXjjfoG/D1n1fjSPoGYV9GRobX/Dwh6irWBchbOb5vP7Yvvcuvzw9i0Dfg2L6MTuMTkfdbunQpkpKS7A90OuDAAfdNVTCbgf37gQb769C8efOwZMmSHodrM0Xs5k1nsxNXdbWwGR0d7cFEyFlshiDqg9RqNT7++GPhcfbFBuhN4q6m00JvsiL7Yusv4Fu2bGFBmTzKZrNh+fLlwkSIkcE+WBEXCJVcnB95KrkUK+IChYaI2tparFixAjabOB/QUP/WMqYYAKq0TXirwLmVRt4qKEeV1j65h2OKifqH8ePHY9u2bbh06RI0Gg2Ki4tx/PhxFBcXQ6vV4tKlS9i2bZvXvR5wMg4RkXNkMhlSUlIAADYA+ZVuXiGonYJKPfgOibxRVlYWJk6ciIKCAmGfXAZEDZNi9hM++O0MH8x+wgdRw6SQy1qPKygoQExMDHbt2uWBrKm/cKwJ3NHYsDvPuQVuducZcUdjfzVmTYCo//jggw96XU0A4HQcIiJ3SU5Oxp/+9Cfh8ansLGT8LhbH/7YdzbrOp/Y267Q4/rftyPhdrDARAgA2bdrkFROGiLqjs7qATK7AsAlP4IkXX8WMl9/AEy++imETnoBM3rrQIusC5A6OdQFNTRXyMjY6FS8vYyM0NVUAWBcg6o0kEgl27tyJAQMG2HdUVNgbFFzdENHSCHH5MgBgwIAB2LlzZ4dFF7ojPj6+9YG3LTjs0AzRJk/qdXw8nQARucZrr72G7OxsHD16FPUGG/ac1WFFXCAUsp7/YGrPaLHh8xId6u+vUjZ37ly8+uqrosUn6onPP/8c+fn5AIBApQSvTlaL+n0PAAqZPe6WExrUG2w4evQo9uzZg9dee03U81D/lJmZiZiYGOj1euwouoYxv/LHuuljux1ny/HL2FF0DQDHFBP1V4GBgYiNjfV0Gl2ycuVKbN++HYB9Ms6yySMQoOj521VOxiGi/mjFihXYvHkzNBoNSm4ZMWmwERMGOTcdryfK77ROjyTyJps2bcJ7770nPB4ULMHCmXI8G+sDf9+OdYPGZhu+LTEj+5gJdzQ26PV6JCcn4/bt23jnnXfcmTr1I441gdzTZgwdKMWCmfJuxzl4zITc0/YPRlkTIOqfelNNAGhbF8g+ZkJCnA/8lD2v63M6DhHRg7377rsYPHgw0tLSoNfroampQs7mNBxJ34AhY2MQFjURCr8AGJsaUFNRiluXy2Axtb7PV6lUyMjIYCME9Trt6wLBYRGYuSQNcUmL4KsO6vD8Zp0WxbkHcGxfOjQ1VawLkFs41gVOZWdh4PDRmLkkrdtxju1LFxrYWBcg6r3Cw8ORk5ODhIQENDU1AefPA3v2AIsWASqV+CfU69s0QqhUKuTk5GDo0KFOhR00aBCGDRuGGzdu2JsPrFZA6gXr+FutQjPE8OHDERoa6uGEyBle8B1FRK4gkUiwa9cu4UX6msaMXcX1ok2I0JusyCqqR5XW/qFaaGgosrKynOoCJHKWTqfD+vXrhccLxweINhGiPZVcioXjA4TH69atg06nc8m5qH9pP6Z4feF5rDp8Fg3GrnV3NxjNWHX4LNYXnhf2cUwxEXk7TsYhInJeSEgIMjIyhMcHXTgl8kH0JisOXnRufDuRK2RlZbW54SHpSR/sXOOH56fJO22EAAB/XwmenybHzjV+SHqytUnz3XffRVZWVqfHEDmrfU1gV54R2742oMnQtXk7TQYbtn1twC6HqRKsCRBRb8DpOERE7pWcnIyysjLhtRcALCYjqi8U4czXe3D8P7bhzNd7UH2hqE0jRGJiIsrKytgIQb1O+7rAlIXJWPtVCaa/lNppIwQA+KqDMP2lVKz9qgRTFiYL+1kXIFdqXxc4kr4BX/95NQz6rtVcDfoGfP3n1TiSvkHYx7oAUe82Y8YMHDp0CH5+fvYdFRXAxx/bGyPEVF4OfPRRm0aIQ4cOYcaMGaKEnzp1qn3DYAB++kmUmE67dMmeD4ApU6Z4OBlyFpshiPqwYcOGIT8/H0FB9jdv1zRmbDmhwcVa54rIF2uN2HJCIzRCBAUFIT8/H8OGDXM6Z+p76uvrUVxcjBMnTqC4uBj19fUuO9f+/fuh0WgAALFDFBgf6tpVUMeHKhA7xH4OjUaDAwcOuPR81H+0H1O8o+gaoj/9FttOVULbbOr0GG2zCdtOVSL602+FiRAAxxQTUe+RmZkJ1f0VLHYUXcOW45d7FIeTcYioP1u6dCmSkpIAADqjDQfKGmC2du0GWmeZrTbsL21Ag9E956Pew511gc5UVlYiLa11Bb0Vzynw+ovKLq827aeU4PUXlVgxt7XGkJaWhqtXr4qeKxHQsSaQe9qMlK1NOHTchMbmzl9jG5ttOHTchJStTcJECIA1ASLqXRzrArmnzTh4rPM66KNwOg4RUddERkYiPz8fZWVlWL16NcaNG9dh4UOJRIJx48Zh9erVKC8vR35+Pm+opW7ztrrAc29uxotvfwKlKuAhR7VSqgLw4tuf4Lm0vwj7WBcgV2pfFziVnYWM38Xi+N+2o1mn7fSYZp0Wx/+2HRm/ixUmQgCsCxD1FQkJCSgsLMSAAQPsO3Q64IsvgH//d+DuXeeC19XZ43z5JdBgb7waMGAACgoKMGvWLOdiO3jllVdaHxw/Llpcp5w4IWwuW7bMc3mQKHwe/RQi6s1iY2Px3XffYfbs2aitrUW9wYbPz+oQO0SB34z0Q7i66y8D1Toz/n6tCSW3WpspQkNDUVBQgMmTJ7sge+qtysvLsWPHDhQWFqKioqLD16OiopCQkICVK1ciOjpalHPabDZ8+umnwuOnR/qJEvdRfjPST/g38emnnyIlJYUTUkgU7ccUV2mb8MbRMqwvPI+JgwMxaXAQAhQyNBgtOHdbi9Lb9TBaWlf+5ZhiIuptWla7SUlJAWCfjHPlH434KDEaAYpH/87aYDTjrYLyNg1hXO2GiPobiUSCnTt3IiYmBvfu3UPFXRP2l+qweKIaPlLXvU+xN0LocPkf9hvWgoODhUZ16p88URd4kNTUVOj1egD2iRALnpL3KM6CmXLcvGtF7mkz9Ho9Vq1ahfz8fDFTJRK0rwnc0diQediI3XlGjBwiRWSYFH4KoMkIXK2x4totK0yW1uNZEyCi3qh9XWBXnhE371qxfK6iS02MTQb7RAnHpjDWBYiIHi06Ohrbtm0DYL9pvbKyEs3NzfD19cWYMWOgVqs9nCH1Rt5aF5iyMBkzF6/tUZyZS9Jw93olTmVnsS5ALte+LqCpqULO5jQcSd+AIWNjEBY1EQq/ABibGlBTUYpbl8vaTPJhXYCo75kxYwbKysqQkpKC3Nxc+86SEuDsWWDcOGDaNOCxxwBpF9bHt1rtUxFOnLBPabC1LsCSlJSErKwsDB06VNT8586di4iICFRVVdnPefcuMHCgqOfolro6YUJFREQE5syZ47lcSBRshiDqB2JjY1FcXIwVK1bg6NGjAICSW0aU3DIiIsgHsWFKDA+UISzAB3JZa0HZZLGhpsGM6/UWlNQYhEkQLebMmYNdu3ZxIgQJKisrkZqaioKCgoc+r6KiAhUVFdi+fTsSExORmZnp9AcSRUVFKC8vBwCMDPbB0G40+jgjXO2DiCAfVGnNKCsrQ3FxMeLj491ybur7kpOTMWvWLKxatUr4d2W0WHHmpgZnbmoeeJxY/66IiNwtOTkZt2/fFsZV7yi6hrwrt7Fu2hgsnTQCQb4db17UNpuw99wv2HLiCqq0TcJ+rnZDRP1VeHg4cnJykJCQgKamJpyvNWHPWR0WxQRAJRd/SKzeZMX+0gahEUKlUmHfvn2YP3++6Oci7+fJukBnysrKhFwGBUuwfK5zEySXz1XgvyssuKOxoaCgAOXl5S6/aYP6r85qAiYLcLnaisvV1gcex5oAEfVm7esCuafN+O8KCxY8JcesOB/4+3ZsimhstuGbYjMO/mDCHU3rDRysCxARdV9gYCBiY2M9nQb1Yt5cFwgOi8DctR86FW/u2g/x04/50NRUsS5ALtdZXcBiMqL6QhGqLxQ98DjWBYj6rpbPf/bu3Ys1a9ZAq9XaGxkuXbL/USqB8PDWP/7+gI8PYDYDjY1AdXXrH4OhTezg4GBs3boVS5YscckiwDKZDCkpKXj77bftOefnAy+/LPp5uqygQGgCWblyJWQymedyIVGwGYKonxg2bBiOHDmCPXv2YN26dcIKjVVas9DkIJUAaoUUMilgsQI6oxXWTiavBwcHY8uWLXj11Ve5Aj4JsrKyhK70FgqZFJMGB2Li4CCoFT7QGc0ova3FOYcV7AsKChATE+N0V/rJkyeF7clDlD3/i/RAbJhS+Hd08uRJNkOQqFrGFJeXl2Pnzp3CCio2W9sX6DFjxmDOnDlYuXIlJkyY4KFsiYicx8k4RETOmzFjBg4dOoQXXngBTU1NqLhrwsfHNVgwPgATBjl3M7ij8jtGHLzYgAaj/XdTlUqFQ4cOYdKkSaKdg3qPzuoCchkwKkyKUUOkUCkBvQH4+ZYVP9e0rmIvVl2gMzt37hS2F86Ud2lV6YfxU0qw4Ck5Mg8bhfgtK6gSuUJXawIA8Ic//AFpaWmsCRBRr8fpOERERL1TZ3UBmVyBsKiJGDI2BkqVGga9Drcul6GmolRYxd5ddYGZS9KgVAU4FU+pCsDMJWuRszlNiM+6ALkS6wJE1J5EIsErr7yCpKQkbN26Fe+//37rFw0G4OpV+58uioiIwMqVK7F8+XKEhIS4IONWK1aswObNm+33rZaUAJMmAZ54zSovt58f9vtgly9f7v4cSHRshiDqRyQSCV577TX87ne/w4EDB7B9+3ZhJX0AsNoAreHBq4rFxMQgNTUVixYt4jhMamPTpk3CSk0AEBHkh/XTx2LJxOEPXMF5X+l1fHz8Mqq0TdDr9cKKT++8806Pcjhz5oywPTzQvd2ajudzzINITI5jiq9evYrRo0e3+frx48cRGhrqidSIiETHyThERM5LSEhAYWEh5s+fj3v37kFntOGLczrEDlFg9mgVBqp6/r6pTm9BQaUeJbdaR68PGDAAOTk5mDFjBmpra8X4K1Av0r4uMChYgoUz5Xg29sErOH9bYkb2MfsKzmLUBTpTWFgIwN6U8WysOKXwWXE+2J1nhMnSGp/I1RxrAvX19Thz5gyeffbZNs/54IMPWBcgoj6D03GIiIh6l/Z1geCwCMxckoa4pEXwVQd1eH6zTovi3AM4ti8dmpoql9cFZHIF4pIWiRIzLmkxjqRvgMVkZF2A3IZ1ASJqLyQkBG+88UbbZoguGj58OKZMmYJly5Zhzpw5bpuKEBISgoyMDCxbtsy+4+BBYNQoQKVyy/kBAHq9/bz3bd261eVNIOQebIYg6ofUajVWrlyJlJQUFBcX4+TJkzhz5gyKi4tx9+5dGAwGKJVKDBw4EHFxcXjiiScwdepUxMXFcRIEdZCVldWmsLEyfiQ+SoxGgOLBP2KCfOVY/WQklk0egbcKyrGj6BoA+4pPgwYNQnJycrfzKLnfsSmVAGEB7v3xFhbgA6nE3lBUXFzs1nNT/8SGNCLqD7qy2o1EIkFUVBQSEhI4GYeIqBMzZsxAWVkZUlJSkJubCwAouWXE2VtGjBsox7ThvngsRA5pF97rW202XKoz4cT1Zvx01wTHtceSkpKQlZWFoUOHuuhvQt6sfV0g6UkfLJ+reOgUBn9fCZ6fJkfC/caC3NP2aYvO1AXaq6+vR0VFBQD7dIrOmjJ6wt9XgpFDpLhcbUVFRQV0Oh3fo5FbBQYGIiYmxtNpEBG5HOsCREREvUP7usCUhcmYu/bDh05h8FUHYfpLqYh/finyMjbiVHYWANfVBcKiJnbalNETvuogDBkbg+oLRawLkEewLkBED3P+/Hn88ssvKC8vR2Njo3AfqL+/P6KjoxEfH+/RxqmlS5fiq6++sn9mpdMBBw4Ar74K+LjhXj+zGdi/H2hoAADMmzcPS5Yscf15yS3YDEHUj0kkEsTHxyM+Pt7TqVAvVVlZibS0NOHxlsRovDltTJePD1D4IHPeZIz5lT/WF54HAKSlpWHWrFndXrmprq4OAKBWSCGXubdpRy6TQK2QQmuw4u7du249NxERUV/XfrWbyspKNDc3w9fXF2PGjOGHDEREjxAeHo6cnBzs3bsXa9asgVarhQ3ApbsmXLprglImQbhahvBAH4QH+sBfLoGPVAKz1YZGkw3V9Wb7H50FBkvb8evBwcHYunUrlixZwsUT+qn2dYEVzymw4KmOEyIfxE8pwesvKjF0oBS78uyTRnpaF2jvypUrwvaoIVKnYrUXGWZvhrDZbLhy5QpiY2NFjU9EREStWBcgIiLyXu3rAs+9uRkzF6/t8vFKVQBefPsTDBw+GkfSNwBwTV1gyFhxbxwPi5qI6gtFrAsQEZHXCQ0NxeOPP445c+Z4OpVOSSQS7Ny5EzExMbh37x5QUWFvUFi82LUNES2NEJcvA7BPO9+5cyc/2+pD2AxBREQ9lpqaCr1eD8A+EaI7jRCO1k0fiyv/aMSOomvQ6/VYtWoV8vPzuxXDaLTfNOEj7v0NXSa7f16DweCZBIiIiPqBwMBAfqhARNQDEokEr7zyCpKSkrB7927s2LEDVVVVAACDxYarGjOuasxdjhcREYGVK1di+fLlHB/czznWBZKe9OlWI4SjBTPluHnXitzT5h7XBdpzfH+uUjoVqgM/Ret2c3OzuMGJiIjogVgXICIi8i6OdYEpC5O71QjhaOaSNNy9XolT2VkuqQsoVeI2Tyr8WqdesC5ARETUPS2LeCUkJKCpqQk4fx7YswdYtAhQqcQ/oV7fphFCpVIhJyeH0877GA/dMkpERL1dWVkZCgoKAAARQX74KDHaqXgfJUYjIsgPAFBQUIDy8vJuHa9Q2O9EMFudSqPHLPfPq1SKfIcFERERERGRSEJCQrBx40ZUVlYiJycHCxcuxPDhw7t07PDhw7Fw4UIcPnwYlZWV2LhxIxsh+jnHusCgYAmWz1U84oiHWz5XgUHB9lWYelIXaM/x/ble5HULmoyt276+vuIGJyIiIiIiIuoFHOsCwWERmLv2Q6fizV37IYLDIgCIXxcw6HVOxWrP2NQgbLMuQERE1H0zZszAoUOH4Odnv1cQFRXAxx/bGyPEVF4OfPRRm0aIQ4cOYcaMGeKehzyOkyGIiKhHdu7cKWyvnz4WAQrnfqQEKHywbtoYvHG0TIjfMvq6K0JCQnDz5k3ojFaYLDbIZe4bY2Wy2KAz2rshBg4c6LbzEhERERER9YRMJsO8efMwb948AMCdO3dQXFyM8vJyNDY2wmAwQKlUwt/fH9HR0YiPj0doaKiHsyZv41gXWDhTDj+lc+/D/ZQSLHhKjszDRiF+d+oC7Y0Z0zq98udb4q6ccLXGHk8ikbQ5DxEREREREVF/4VgXmLkkDUpVwEOe/WhKVQBmLlmLnM1pQnyx6gK3Lpc5lVt7NRWlAFgXICIickZCQgIKCwsxf/583Lt3D9DpgC++AGJjgdmzAWfuwaurAwoKgJISYdeAAQOQk5PDRog+is0QRETUI4WFhQAAhUyKJRO7tpLooyydNALrC8/DaLEK8bsqNjYWpaWlsNqAmgYzRgTJRcmpK2oazLDa7NtxcXFuOy8REREREZEYBg0ahDlz5mDOnDmeToV6kZb37XIZ8GysOGXmWXE+2J1nhMmCbtcF2gsMDERUVBQqKirwc40Vjc02+Ps6v3BCY7MN1+43V0RFRUGtVjsdk4iIiIiIiKi3aXnfLpMrEJe0SJSYcUmLcSR9Aywmo6h1gZqKUjTrtPBVBzmdY7NOKzRXsC5ARETknBkzZqCsrAwpKSnIzc217ywpAc6eBcaNA6ZNAx57DJBKHx3MagUuXQJOnAB++gmw2YQvJSUlISsrC0OHDnXNX4Q8rgvfIURERG3V19ejoqICADBpcCCCfMVpPAjylWPi4EAAQEVFBXS6ro+rfOKJJ4Tt6/UWUfLpKsfzOeZBRERERERE1Bc51gVGhUlFaTIAAH9fCUYOsZesu1sX6ExCQgIAwGQBvi0xO50fAHxTbIbJ0jY+ERERERERUX/iWBcIi5ooSpMBAPiqgzBkbAwAcesCFpMRxbkHnM4PAIpz98NiMraJT0RERD0XHh6OnJwcfPHFFwgKuv87hc1mb2zYswd47z0gMxP4f/8PKCqy779yxf7foiL7/sxM+/P27LHvv98IERwcjC+//BI5OTlshOjjOBmCiIi67cqVK8L2xMHiFDZaTBochDM3NbDZbLhy5QpiY2O7dNzUqVOF7bO3DJgx3FfUvB6mpMbQaR5ERERERER92Z07d1BUVITz58+joaEBRqMRCoXC02mRGzjWBUYNEXe9ncgwKS5XW7tdF+jMypUrsX37dgBA9jETEuJ84KfseeNGk8GGgz+Y2sQnIiIiIiIi6m8c6wItzQtiCYuaiOoLRaLXBY7tS0f880uhVAX0OJ5B34Bj+zLaxCciIiLnSSQSvPLKK0hKSsLu3buxY8cOVFVV2b9oMABXr9r/dFFERARWrlyJ5cuXIyQkxEVZkzdhMwQREXWbwdB6879aIe6PkgCFTNhubm7u8nHx8fGIjo5GeXk5rmnMuKkzY6ja9T/mqnVmVGntq0vGxMQgLi7O5eckIiIiIiLyBIvFgiNHjmDv3r04efIkbty40eVjCwoK8NJLL0Emkz36yeT1HOsCKqW4sf0c+mm6UxfoTHR0NBITE1FQUIA7Ght25xnx+os9T3h3nhF3NPYVpRITEzFhwgSn8iMiIiIiIiLqjRzrAkqVWtTYCr/WZgUx6wKamirkZWzEi29/0uN4eRkboamx35jJugAREZH4QkJCsHHjRrz11lvIy8vDl19+iVOnTuH69euPPHb48OGYMmUKli1bhjlz5vDzqH6GzRBERNRtSmXrjQM6o1nU2A1Gi7Dt69v16Q4SiQSpqalITU0FAHx/rQkvx4hbeOnM3681CdupqamQSHq+wiQREREREZE3qqurw65du7Bz587WlXi6afHixfhf/+t/ISUlBStWrOBKPL2cY11Ab3jIE3ugydi63Z26wINkZmYiJiYGer0euafNGDpQigUz5d2Oc/CYCbmn7TUQlUqFzMxMp3MjIiIiIiIi6o0c6wIGvU7U2MamBmFb7LrAqewsDBw+GjOXpHU7zrF96TiVnQWAdQEiIiJXk8lkmDdvHubNmwfAPqm8uLgY5eXlaGxshMFggFKphL+/P6KjoxEfH4/Q0FAPZ02exGYIIiLqtjFjxgjbpbe1osY+dz+eRCJpc56uWLx4Md5++21oNBqU3DIidogR40MVjz6why7WGlFyy36XRnBwMBYtWuSycxEREREREbmbzWbD3r17sWbNGmi1bd/7KWUShAfKMEztg6GBPvCXS+AjlcBstaHRZMPNejNu6MyorrfAYLGvpF9VVYW3334bmzdvRkZGBpYuXcqG8l7K8f36z7esosa+WmOP15O6QGciIyORnp6OlJQUAMCuPCNu3rVi+VwF/JSP/v5rMtgnSrQ0QgBARkYGIiMjnc6NiIiIiIiIqDdyfL9+63KZqLFrKkoBuK4ucCR9A+5er8TctR9CqQp4xNGAQd+AvIyNQiMEwLoAERGRuw0aNAhz5szBnDlzPJ0KeSk2QxBRj9hsNhQVFeHkyZM4c+YMSkpKUFdXB6PRCIVCgeDgYE+nSC4UGBiIqKgoVFRU4NztemibTQjy7f6qiu1pm00ovV0PAIiKioJa3b3JDmq1Gh9//DGWL18OAMi+2IB1wcFQyaVO59ae3mRF9sXWVSm2bNnS7XyJiIiIiIi8VXV1NVJSUpCbmyvskwAYFyLH9GG+GBcih/QhjQzxYfYVAq02G36qM+H4jWb8VGeCDYBGo8GyZcvw1VdfISsrC0OHDnXx34bE5lgX+LnGisZmG/x9nW9saWy24dr95oqe1AUeJDk5Gbdv38Z7770HAMg9bcZ/V1iw4Ck5ZsX5dJp7Y7MN3xSbcfAHE+5obML+TZs2YcWKFaLkRURERERERNQbOdYFaipK0azTwlcd5HTcZp1WaK5wZV3gVHYWfvoxHzOXrEVc0uJOc2/WaVGcux/H9mVAU9M6KZV1ASIiIiLvw2YIIuoWnU6H/fv349NPP0V5efkDn3fz5s0O+/bs2YNVq1bxhvE+IiEhARUVFTBarNhXeh2rn3R+5YO9536B0WIV4vfEa6+9huzsbBw9ehT1Bhv2nNVhRVwgFDLxVhs1Wmz4vESHeoP9Zoi5c+fi1VdfFS0+ERERERGRJ/3444+YP38+7t27J+yLHaLA7NEqDFTJuhVLKpFgfKgC40MVuKu3IL9SL0zYy83NRXR0NHJycjBjxgxR/w7kei11AZMF+LbEjOenOb9IwjfFZpgsrfHF9O6772Lw4MFIS0uDXq/HHY0NmYeN2J1nxMghUkSGSeGnAJqM9ukU125ZhVwAQKVSISMjgzc8EBEREREREaG1LmAxGVGcewDTX0p1OmZx7n5YTEYhvpja1wU0NVXI2ZyGI+kbMGRsDMKiJkLhFwBjUwNqKkpx63KZkAvAugARERGRNxN/qWwi6pNsNhs+++wzjBgxAqmpqR0aIaQSIEgpxUA/KYKUUkg7ue98w4YNGDFiBD777DPYbLaOT6BeZeXKlcL2x8cvo8Fodipeg9GMLSeudBq/OyQSCXbt2oXQ0FAAwDWNGbuK66E3WZ3Kr4XeZEVWUT2qtPa/b2hoKLKysiB5yIqoREREREREvUVhYSESEhKERgi1QoJlk9R4OUbd7UaI9gaqZHg5Ro1lk9RQK+zvoe7du4eEhAQUFhY6nTu5l+P79uxjJjQZnKv1NBlsOPiDqdP4YklOTkZZWRkSExOFfSYLcLnaivwzZnx93Iz8M2Zcrm7bCJGYmIiysjLe8EBERERERER0n+P79mP70mHQNzgVz6BvwLF9GZ3GF0tndQGLyYjqC0U48/UeHP+PbTjz9R5UXyhq0wjBugARERGRd2MzBBE90o0bN/Dcc89h+fLl0Gg0wv6RwT548TF/vP5kIN5/5ld4558GYONTA/DOPw3A+8/8Cq8/GYgXH/NHRFDrEBqNRoPly5fjueeew40bNzzwtyGxREdHC0WCKm0T3ip48KSQrniroBxV2iYA9mLChAkTehxr2LBhyM/PR1CQfZzlNY0ZW05ocLHW+IgjH+5irRFbTmiERoigoCDk5+dj2LBhTsUlIiIiIiLyBj/88ANeeOEFNDXZ35tFDZRj/fRgTBikEPU8EwYpsH56MKIG2icJNDU14YUXXsCPP/4o6nnItRzrAnc0NuzOc+499+48I+5o7A0VztYFHiYyMhL5+fkoKyvD6tWrMW7cuE4XOBgzZgxWr16N8vJy5OfnIzLS+YmYRERERERERH2FY11AU1OFvIyNTsXLy9gITU0VANYFiIiIiKh7fB79FCLqz0pKSjB79mzU1tYK+2KHKPD0SD8MVT/4JUQuk2BEkBwjguSYMdwX1Toz/n6tCSW37B+MHz16FHFxccjPz0dsbKzL/x7kGpmZmYiJiYFer8eOomsY8yt/rJs+tttxthy/jB1F1wDYx0tmZmY6nVtsbCy+++474fu33mDD52d1iB2iwG9G+iH8Id+/7bX//gXsEyEKCgowefJkp3MlIiIiIiLytOrqajz//PNCI0T0IAUWxQTAp7PRjyJQyaV4dbIa+0t1OF9rQlNTE+bPn4/y8nIMHTrUJeck8TnWBXJPmzF0oBQLZsq7HefgMRNyT9sXHhCrLvAo0dHR2LZtGwDg6tWrGD16dJuvHz9+XJg6SURERERERA9WX1+PK1euwGAwQKlUIjg42NMpkZs41gVOZWdh4PDRmLkkrdtxju1Lx6nsLACsCxARERFR93EyBBE9UHFxMZ555hmhESJQKcFrk9V4OUb90EaIzoSrffByjBqvTVYjUGm/kaK2thbPPPMMSkpKRM+d3CMyMhLp6enC4/WF57Hq8Fk0GM1dOr7BaMaqw2exvvC8sC8jI0O0VRViY2NRXFyMOXPmCPtKbhmRcVKLT05r8eP1ZvyiNcFksbU5zmSx4RetCT9eb8Ynp7XIOKlt0wgxZ84cFBcXsxGCiIiIiIj6BJvNhpSUFNy7dw+AfSKEKxshWvhIJVg8US1MiLh37x6Sk5Nhs9kecSR5i/Z1gV15Rmz72oAmQ9f+HzYZbNj2tQG7HKZKiFkX6Cq1Wu3W8xEREREREfV25eXlwqr6QUFBiI+Px/Tp0xEfH9/hpnLqu9rXBY6kb8DXf14Ng76hS8cb9A34+s+rcSR9g7CPdQEiIiIi6i5OhiCiTt24cQNz5syBVqsFAIwM9sGrk9VQyZ3roRofqsC64GDsOavDNY0ZWq0Ws2fPRnFxMYYNGyZG6uRmycnJuH37Nt577z0AwI6ia8i7chvrpo3B0kkjEOTbcUVIbbMJe8/9gi0nrqBK2yTs37RpE1asWCFqfsOGDcORI0ewZ88erFu3DhqNBgBQpTWjSmtv2pBKALVCCpkUsFgBndEKayf3bQQHB2PLli149dVXOx2VSURERERE1Bvt3bsXubm5AAC1QuKWRogWPlL7+T46rkGD0Ybc3Fzs27cPS5cudcv5yXnt6wK5p8347woLFjwlx6w4H/j7dvxeamy24ZtiMw7+YMIdTesbcFfUBYiIiIiIiEg8lZWVSE1NRUFBQbeOu3btGlfZ76Pa1wVOZWfhpx/zMXPJWsQlLYavOqjDMc06LYpz9+PYvgxoaqqE/awLEBEREVFPsBmCiDqw2WxYvny5MBFiZLAPVsQFQiET50YIlVyKFXGB2FVcj2saM2pra7FixQocOXKEN5j3Uu+++y4GDx6MtLQ06PV6VGmb8MbRMqwvPI+JgwMxaXAQAhQyNBgtOHdbi9Lb9TBarMLxKpUKGRkZLitsSCQSvPbaa/jd736HAwcOYPv27SgvLxe+brUBWoP1gcfHxMQgNTUVixYt4qoQRERERETUp9TV1WHNmjXC4wXjA5xeCKG7VHIpFowPwJfndACANWvW4LnnnkNISIhb86Cea18XuKOxIfOwEbvzjBg5RIrIMCn8FECTEbhaY8W1W1aYLK3Hu7ouQERERERERM7LysoS3ve1kMkVCIuaiCFjY6BUqWHQ63DrchlqKkphMbVOAXz66af5vq8Pa18X0NRUIWdzGo6kb8CQsTEIi5oIhV8AjE0NqKkoxa3LZW2+P1gXICIiIiJnsBmCiDr4/PPPkZ+fDwAIVErw6mS1aI0QLRQye9wtJzSoN9hw9OhR7NmzB6+99pqo5yH3SU5OxqxZs7Bq1SphJRCjxYozNzU4c1PzwOMSExORmZnpllGXarUaK1euREpKCoqLi3Hy5EmcOXMGp0+fxoULF9o896WXXsJTTz2FqVOnIi4ujo06RERERETUJ+3atUuYChk7RIEJgxQeySN6kAKxQxQouWWERqPB7t27sXHjRo/kQj3TWV3AZAEuV1txufrBCxC4sy5AREREREREPbNp0yZh5X8ACA6LwMwlaYhLWvSQlf8P4Ni+dGhqqqDX64UJAu+88447Uyc36awuYDEZUX2hCNUXih54HOsCREREROQs9y7zRkReT6fTYf369cLjhS5cEVIll2Lh+ADh8bp166DT6VxyLnKPyMhI5Ofno6ysDKtXr8a4ceM6NBFIJBKMGzcOq1evRnl5OfLz891e2JBIJIiPj8cf//hH7NmzB99//32H5/z1r3/FH//4R8THx7MRgoiIiIiI+iSLxYIdO3YAACQAZo9WeTSfxNEqtLz72rFjBywWy0OfT96nt9QFiIiIiIiIqOuysrLaNEJMWZiMtV+VYPpLqZ02QgCArzoI019KxdqvSjBlYbKw/91330VWVpbLcybPYF2AiIiIiDyBkyGIqI39+/dDo9EAsK8IOT7UtStCjg9tu/LjgQMHsHLlSpeek1wvOjoa27ZtAwDU19ejsrISzc3N8PX1xZgxY6BWqz2cIREREREREeXl5eGXX34BAIwLkWOgSubRfEJUMowbKMeluyZUVVXh6NGjSEpK8mhO1DOsCxAREREREfUNlZWVSEtLEx4/9+ZmzFy8tsvHK1UBePHtTzBw+GgcSd8AAEhLS8OsWbN4A3wfxroAEREREbkTmyGISGCz2fDpp58Kj58e6eeW8/5mpB9KbhkBAJ9++ilSUlK4En8fEhgYiNjYWE+nQURERERERO18+eWXwvb0Yb4ezKTVtOG+uHTXBAD44osv2AzRB7AuQERERERE1HulpqZCr9cDsE+E6E4jhKOZS9Jw93olTmVnQa/XY9WqVcjPzxcxU/JWrAsQERERkatJPZ0AEXmPoqIilJeXAwBGBvtgqNo9/VLhah9EBNnPVVZWhuLiYrecl4iIiIiIiKg/O3nyJABAKZNgXIjcw9nYPRYih1JmXyDh1KlTHs6GiIiIiIiIqP8qKytDQUEBACA4LAJz137oVLy5az9EcFgEAKCgoEC4N4GIiIiIiMgZbIYgIkHLTRAAMHmI0q3njg1rPZ9jHkREREREREQkvjt37uDGjRsAgPBAGaReMqFRKpEgXC0DAFy/fh21tbUezoiIiIiIiIiof9q5c6ewPXNJGpSqAKfiKVUBmLlkbafxiYiIiIiIeorNEEQkOHPmjLA9PFDm1nM7ns8xDyIiIiIiIiISX1FRkbA9zE2TIbsqPLA1H8c8iYiIiIiIiMh9CgsLAQAyuQJxSYtEiRmXtBgyuaJNfCIiIiIiImewGYKIBCUlJQAAqQQIC3DvjRBhAT6Q3l+Esri42K3nJiIiIupPmpqacOPGDTQ1NXk6FSIi8qDz588L20MDvbcZory83IOZEBEREREREfVP9fX1qKioAACERU2ErzpIlLi+6iAMGRsDAKioqIBOpxMlLhERERER9V9shiAiQV1dHQBArZBCLpO49dxymQRqhf0l6e7du249NxEREVF/ceTIEURGRmL48OGIjIzEkSNHPJ0SERF5SENDg7DtL3dvDeBRHPNpbGz0YCZERERERERE/dOVK1eE7ZbmBbGERU0EANhstjbnISIiIiIi6gk2QxCRwGg0AgB8PPTKILt/XoPB4JkEiIiIiPqwf/zjH1iyZAlu3boFALh16xaWLl2Kf/zjHx7OjIiIPKGlBgAAPlLvaoZwzIc1AiIiIiIiIiL3c3w/rlSpRY2t8AsQtpubm0WNTURERERE/Q+bIYhIoFAoAABmq2fOb7l/XqVS6ZkEiIiIiPqw7OzsDo0Pd+/excGDBz2UEREReVJLDQAAzFabBzPpyDEf1giIiIiIiIiI3M/x/bhBrxM1trGpdVqlr6+vqLGJiIiIiKj/YTMEEQlCQkIAADqjFSaLe2+EMFls0Bnt3RADBw5067mJiIiI+oMHNT2wGYKIqH8KCGhdhbHR5F3NEI75+Pv7ezATIiIiIiIiov5pzJgxwvaty2Wixq6pKAUASCSSNuchIiIiIiLqCTZDEJEgNjYWAGC1ATUNZreeu6bBjJaFH+Pi4tx6biIiIqK+7t69e/iv//qvTr/27bff4t69e27OiIiIPG3ChAnC9s1699YAHqXaIZ/o6GgPZkJERERERETUPwUGBiIqKgqAvXmhWacVJW6zTis0V0RFRUGtVosSl4iIiIiI+i8fTydAPVdXV+fpFHq9zq5hbRfdNgABAABJREFUf76ujz32mLB9vd6CEUFyt537er1F2B43bhxqa2vddu7ehN+zrsHr6jq8tq7B6+oavK6uw2vrGt25rn/7299gNnd+o6vZbMaBAwfwL//yL6Lm11vxe5N6E36/Oq8//4yKiIgQtm/ovLcZIiIigjUCB/35e9aVeF1dh9fWNXhdXYPX1XV4bV2D19U1eA2pN+H3q/P4WvpwTz31FCoqKmAxGVGcewDTX0p1OmZx7n5YTEYhPt/zdw+/Z12D19U1eF1dh9fWNXhdXYPX1XV4bV2D17B3kthsNtujn0aeVltbi0GDBnk6DepHRgb74I+/DnLb+T45rUWV1rtuviAiIiIiAoA7d+4gNDTU02lQP8e6ALmSUibBn54ZAKlE4ulUYLXZ8N5392CwsGRJRERERN6BdQHyBqwLkKcFh0Vg7VclUKoCehzDoG9Axu9ioampEjEzIiIiIiLXYl3A+0k9nQAReadrGjNuumllyGqdmY0QRERERERERB5isNjwU53J02kAAC7VmdgIQURERERERORlNDVVyMvY6FSMvIyNbIQgIiIiIiLRsRmCiB7o+2tNbjnP3910HiIiIiIiIiLq3PEbzZ5OAQBw4rp35EFEREREREREbZ3KzsKxfek9OvbYvnScys4SOSMiIiIiIiI2QxDRQ5TcMuJirdGl57hYa0TJLdeeg4iIiIiIiIge7qc6E+7qLR7NoU5vwU93vWNCBRERERERERF1dCR9A77+82oY9A1der5B34Cv/7waR9I3uDgzIiIiIiLqr3w8nQD13IULFxASEuLpNHq1uro6PP7442328boCBw4cQFpaGgAg+2ID1gUHQyUXv3dKb7Ii+2JrkSQjIwMvv/yy6OfpS/g96xr99br+/PPP2LBhA77//vsuH/P0009j8+bNGDlyZJee31+vravxuroGr6vr8Nq6Rleuq16vx+OPPw69Xv/IeCqVChcuXIBKpRI9196ks+tK5K34Wuo8/owCtm7div/9v/83bADyK/V4OUbtsVwKKvWw3d9+55138MYbb3gsF2/F71nX6K/XlXWB3ovX1TV4XV2H19Y1eF1dg3UB6k34b955fC3tui1btuAvf/kLAPuEiJ9+zMfMJWsRl7QYvuqgDs9v1mlRnLsfx/ZlQFNTJezfuHEj3nzzTbfl3dfwe9Y1+ut1dXVdoL9eV3fgtXUNXlfX4HV1HV5b12BdoHdiM0QvFhISgtDQUE+n0efwugJr1qxBfn4+jh49inqDDXvO6rAiLhAKmUS0cxgtNnxeokO9wX6bw9y5c/HGG29AIhHvHP0Fv2ddo69f16ysLKSlpbW5OVYhk2LS4EBMHBwEtcIHOqMZpbe1OHe7HkaLFQDw/fff4+mnn0ZGRgZWrFjRo3P39WvrKbyursHr6jq8tq7R/rr+3//7fztthAhU+qDeYG6zT6/Xo7i4GL/97W9dnicRiYOvpa7R367r2rVrsX37dmg0GpTcMmLSYCMmDFK4PY/yO62TI4ODg7FmzRoW7Luov33Puktfv66d1QXkMmBUmBSjhkihUgJ6A/DzLSt+rrHCdH9wDOsC3ovX1TV4XV2H19Y1eF2J+hf+m3cNXtfOffjhh4iMjBTeR2hqqpCzOQ1H0jdgyNgYhEVNhMIvAMamBtRUlOLW5TJYTEbheJVK5dT7CHowfs+6Rl+/rp3VBWRyBcKiJmLI2BgoVWoY9DrculyGmopS4d+zs3WBvn5dPYnX1jV4XV2D19V1eG2pv2IzBBF1IJFIsGvXLsTFxaG2thbXNGbsKq7Hq5PVokyI0Jus+LxEhyqt/Qa80NBQZGVlsRGCyE02bdqE9957T3gcEeSH9dPHYsnE4QjylXd4vrbZhH2l1/Hx8cuo0jZBr9cjOTkZt2/fxjvvvOPO1ImIqJuys7M73f9RQjRSDp/t9PlshiAi6l9CQkKQkZGBZcuWAQAOXmzAqAGumRD5IHqTFQcdJkdu3bqVjRBELtS+LjAoWIKFM+V4NtYH/r4d63ONzTZ8W2JG9jET7mhsrAsQEREREfVTycnJmDVrFlatWoWCggIAgMVkRPWFIlRfKHrosd9//z1+/etfuyNNInqE9nWB4LAIzFyShrikRQ+Z9HIAx/alQ1NTxboAEREReR33fapJRL3KsGHDkJ+fj6Ag+xudaxoztpzQ4GKt8RFHPtzFWiO2nNAIjRBBQUHIz8/HsGHDnM6ZiB4tKyurTWFjZfxIlKc+i9VPRnbaCAEAQb5yrH4yEuWpz2Jl/Ehh/7vvvousrCxXp0xERD1kMBhw+PDhDvtHBquwPC4CEUF+Hb52+PBhGAwGd6RHREReZOnSpUhKSgIA6Iw2HChrgNlqc8u5zVYb9pc2oMFoP9+8efOwZMkSt5ybqD9qXxdIetIHO9f44flp8k4bIQDA31eC56fJsXONH5KebF1fiXUBIiIiIqL+JzIyEvn5+SgrK8Pq1asxbty4DosedrYI4siRI92UIRE9TPu6wJSFyVj7VQmmv5TaaSMEAPiqgzD9pVSs/aoEUxYmC/tZFyAiIiJvwWYIInqg2NhYfPfdd8LopHqDDZ+f1eHfy3So1pm7FataZ8a/l+nw+Vkd6g32GxxCQ0Px/fffIzY2VvTciaijyspKpKWlCY+3JEYjc95kBCi6NigqQOGDzHmT8XHCBGFfWloarl69KnquRETkvMLCQuh0ug77F4wfCqlEggXjh3b4Wn19Pb755ht3pEdERF5EIpFg586dGDBgAACg4q4J+0t1Lm+IsDdC6HD5HyYAwIABA7Bz505OjiRykfZ1gRXPKfD6i0r4Kbv2b85PKcHrLyqxYq5C2Me6ABERERFR/xQdHY1t27bh0qVL0Gg0KC4uxvHjx1FcXIzKykpPp0dEnWhfF3juzc148e1PoFQFdOl4pSoAL779CZ5L+4uwj3UBIiIi8gZshiCih4qNjUVxcTHmzJkj7Cu5ZUTGSS0+Oa3Fj9eb8YvWBJOl7Q0SJosNv2hN+PF6Mz45rUXGSS1KbrVOlZgzZw6Ki4sxefJkd/1ViPq91NRU6PV6APaJEG9OG9OjOOumjxUmROj1eqxatUqsFImISEQHDx7sdH9LE8SCxzs2QzzsOCIi6tvCw8ORk5MDPz/75KDztSbsOauD3mR1yfn0Jis+L9HhfK29EUKlUiEnJwdDh3b+84mInOdYF0h60gcLnup8QuSjLJgpFyZEsC5ARERERESBgYGIjY3FtGnTEBsbi4CArt1YTUTu5VgXmLIwGTMXr+1RnJlL0oQJEawLEBERkTfo2lLQRNSvDRs2DEeOHMGePXuwbt06aDQaAECV1owqrX1ChFQCqBVSyKSAxQrojFZ0toBkcHAwtmzZgldffZUrPRK5UVlZGQoKCgAAEUF++Cgx2ql4HyVGI+/KbVRpm1BQUIDy8nJERzsXk4iIxGMymXDo0KEO+4eqfTFlmH3V76nDfoWhal/c1DW3ec6hQ4dgMpkgl/fs5jgiIuq9ZsyYgUOHDuGFF15AU1MTKu6a8PFxDRaMD8CEQYpHB+ii8jtGHLzYgAajvXCgUqlw6NAhzJgxQ7RzEFFbjnWBQcESLJ/r3L/p5XMV+O8KC+5obKwLEBEREREREXk5x7pAcFgE5q790Kl4c9d+iJ9+zIempop1ASIiIvI4ToYgoi6RSCR47bXX8MsvvyAzM7PDmxirDdAarPhHkxVaQ+eNEJs3b8Yvv/yC1157jY0QRG62c+dOYXv99LEIUDjXDxmg8ME6h8kSjvGJiMjzvvvuO9y7d6/D/v/5WBik938Pk0ok+O1jYR2e849//APff/+9q1MkIiIvlZCQgMLCQgwYYG+e0xlt+OKcDv9epsNdvcWp2HV6C/69TIcvz+mERogBAwagoKAAs2bNcjp3Inowx/ftC2fK4ad0rjbnp5S0mSzBugARERERERGR93J83z5zSRqUKucmuChVAZi5ZG2n8YmIiIjcjc0QRNQtarUaK1euRGlpKc6cOYNPPvkEy5Ytw8SJExEeHo6QkBCEh4fj8ccf73DssmXLoFarPZA1ERUWFgIAFDIplkwcLkrMpZNGQCGTtolPRETe4eDBg53uX/h4eLvHQ7t1PBER9Q8zZsxAWVkZkpKShH0lt4z4y48afFZcjwu1RlhtnayC0AmrzYYLtUZ8VlyPzT9qUHLLKHwtKSkJ5eXlnAhB5AYt79vlMuDZWHEGRs+K84Fc1jY+EREREREREXmflvftMrkCcUmLRIkZl7QYMrmiTXwiIiIiTxDnUw8i6nckEgni4+MRHx/f6ddra2sxaNAgN2dFRJ2pr69HRUUFAGDS4EAE+cofcUTXBPnKMXFwIM7c1KCiogI6nY4NT0REXsBiseDrr7/usH+QvxJPjRjYZt/MESEIVSlQqze22f+f//mf2L59O2QymStTJSIiLxYeHo6cnBzs3bsXa9asgVarhQ3ApbsmXLprglImQbhahvBAH4QH+sBfLoGPVAKz1YZGkw3V9Wb7H50FBkvbxong4GBs3boVS5Ys4eRIIjdwrAuMCpPC31ecf3f+vhKMHCLF5Wor6wJEREREREREXsqxLhAWNRG+6iBR4vqqgzBkbAyqLxSxLkBEREQexckQREREfdyVK1eE7YmDxSlstJh0P57NZmtzHiIi8pwffvgBd+7c6bD/xXFhkEnb3vgmk0rw4mNhHZ57584d/Pjjjy7LkYiIegeJRIJXXnkFV65cwQcffICIiAjhawaLDVc1Zhz7pRl/K2/AZyU67Cyqx2clOvytvAHHfmnGVY25TSNEREQEPvjgA1y+fBlLly5lIwSRmzi+Xx81RNyPBCLD7PFYFyAiIiIiIiLyTo7v14eMjRE1dljURACsCxAREZFnsRmCiIiojzMYDMK2WiHuUKgAReuK4c3NzaLGJiKinjl48GCn+xc8PrTz/eM73/+gOERE1P+EhIRg48aNqKysRE5ODhYuXIjhw4d3K8aBAwdQWVmJjRs3IiQkxEWZElFnHOsCKqW4sf0UrdusCxARERERERF5H8e6gFIl7uQGhV+AsM26ABEREXmKuHdEEhERkddRKlvvdNAZzaLGbjBahG1fX19RYxMRUfdZrdZOmxgG+MrxzMjObzx9ZlQogn3l0DSb2uw/ePAg0tPTIZWyh56IiOxkMhnmzZuHefPmAbBPEiouLkZ5eTkaGxthMBigVCphs9nwb//2b22OTUhIgEwm6ywsEbmYY11Ab3jIE3ugydi6zboAERERERERkfdxrAsY9DpRYxubGoRt1gWIiIjIU9gMQURE1MeNGTNG2C69rRU19rn78SQSSZvzEBGRZxQVFeHmzZsd9j8/bgjkss6bGhQyKZ4fNwR7z11vs7+6uhqnT5/G1KlTXZIrERH1foMGDcKcOXMwZ86cNvtra2s7NEMQkec4vl//+ZZV1NhXa+zxWBcgIiIiIiIi8k6O79dvXS4TNXZNRSkA1gWIiIjIs7jEJxERUR8XGBiIqKgoAMC52/XQtlv5u6e0zSaU3q4HAERFRUGtFnekJhERdd/hw4c73b/w8fCHHrdw/NBO93c2ZYKIiIiIehfHusDPNVY0NttEidvYbMO1+80VrAsQEREREREReSfHukBNRSmadeIsoNis0wrNFawLEBERkSexGYKIiKgfSEhIAAAYLVbsK73+iGd3zd5zv8BosbaJT0REnpWbm9thn1rhg4TI0IcelzB6EAIUHQcHHjx4EDabODfLEREREZHntLxvN1mAb0vMosT8ptgMk6VtfCIiIiIiIiLyPi3v2y0mI4pzD4gSszh3PywmY5v4RERERJ7AZggiIqJ+YOXKlcL2x8cvo8Ho3I0PDUYztpy40ml8IiLynF9++aXDvnlRQ6D0kT30OF8fGeZFDe6w/+eff8bZs2fFSo+IiIiIPMTxfXv2MROaDM41vDYZbDj4Q+vkSdYFiIiIiIiIiLyX4/v2Y/vSYdA3OBXPoG/AsX0ZncYnIiIicjc2QxAREfUD0dHRSExMBABUaZvwVkG5U/HeKihHlbYJAJCYmIgJEyY4nSMREbnGgvFhXXze0E73Z2dni5kOEREREXmAY13gjsaG3XlGp+LtzjPijsbeUMG6ABEREREREZF3c6wLaGqqkJex0al4eRkboampAsC6ABEREXkemyGIiIj6iczMTKhUKgDAjqJr2HL8co/ibDl+GTuKrgEAVCoVMjMzxUqRiIhE5ucjw5wxHSc+dGbumMHw62SCxMGDB2GzObdyMBERERF5nmNdIPe0GQePmR5xROcOHjMh97R94iTrAkRERERERES9g2Nd4FR2Fo7tS+9RnGP70nEqOwsA6wJERETkHdgMQURE1E9ERkYiPb21oLG+8DxWHT6LBqO5S8c3GM1Ydfgs1heeF/ZlZGQgMjJS9FyJiEgcz40dDH+FT5ee66/wwdyxgzrs/+mnn3DhwgWxUyMiIiIiN2tfF9iVZ8S2rw1oMnSt8bXJYMO2rw3Y5TBVgnUBIiIiIiIiot6hfV3gSPoGfP3n1TDoG7p0vEHfgK//vBpH0jcI+1gXICIiIm/QtbtiiIiIqE9ITk7G7du38d577wGwT4jIu3Ib66aNwdJJIxDkK+9wjLbZhL3nfsGWE1dQpW0S9m/atAkrVqxwW+5ERN7MYrHgz3/+Mw4fPox79+657ZyPsmD80G7FXDB+KP7vxZoO+5999lkEBgZ2K5YYBgwYgHnz5uHtt9+GTNZxagURERERdU/7ukDuaTP+u8KCBU/JMSvOB/6+kg7HNDbb8E2xGQd/MOGOprVxgnUBIiIiIiIiot6lfV3gVHYWfvoxHzOXrEVc0mL4qoM6HNOs06I4dz+O7cuApqZK2M+6ABEREXkLNkMQERH1M++++y4GDx6MtLQ06PV6VGmb8MbRMqwvPI+JgwMxaXAQAhQyNBgtOHdbi9Lb9TBarMLxKpUKGRkZLGwQETlIS0vDtm3bPJ1GGwqZFElRg7t1zLyoIVDIpG1e9wHg9u3buH37tpjpddnp06dRV1eHrVu3euT8RERERH1N+7rAHY0NmYeN2J1nxMghUkSGSeGnAJqMwNUaK67dssLk0IfLugARERERERFR79W+LqCpqULO5jQcSd+AIWNjEBY1EQq/ABibGlBTUYpbl8tgMbVOiWRdgIiIiLyN1NMJEBERkfslJyejrKwMiYmJwj6jxYozNzX4rKQKW09dxWclVThzU9PmhtjExESUlZWxsEFE5MBiseDLL7/0dBodJI4ORaCy48SfhwlUypEQGeqijHruyy+/hNVqffQTiYiIiKhLOqsLmCzA5Wor8s+Y8fVxM/LPmHG5um0jBOsCRES9n7m5GXeKimBubvZ0KkRERETkIZ3VBSwmI6ovFOHM13tw/D+24czXe1B9oahNIwTrAkREvR/rAtQXsRmCiIion4qMjER+fj7KysqwevVqjBs3DhKJpM1zJBIJxo0bh9WrV6O8vBz5+fmIjIz0UMZERN5JJpPBz8/P02l0sHB8eI+O+93jPTvOlfz8/CCV8u0rERERkZhYFyAi6p9+XL8e3yxdiuNvveXpVIiIiIjIg1gXICLqn1gXoL7Ix9MJEBERkWdFR0dj27ZtAID6+npUVlaiubkZvr6+GDNmDNRqtYczJCLyfm+++SY2bNjg6TQEE0LV+H3MsB4d+/uYYdh8/DIu1OpEzqrn0tLSPJ0CERERUZ/FugARUf+hv3UL1d99BwC48V//Bf3t21ANHuzhrIiIiIjIk1gXICLqP1gXoL6KzRBEREQkCAwMRGxsrKfTICLqdd566y1YrVa88847sFgsD31u1MAAjPmVv0vykEkkmDQ4EOumj4FC1rNJCgqZFD++NhNbjl/Budv1sNhsImdpd/luAy7/o/Ghz/Hx8cH777+Pt7gqBREREZFbsC5ARNS3Xf/227aPv/kG4xYt8lA2RERERORtWBcgIurbWBegvorNEERERERERE6SSCTYuHEjnn76abz88sv4+eefH/jcX7R6pE0djZT4kR3GDXuLYF8FNv2Px10S22azYceZa3jz57KHPm/UqFH4j//4D0yZMsUleRARERERERH1N9cLCzs85k0PRP8/e3ceF+V5Lnz8N8MwILKlIm4oBhVjBRUwcas9SRNA45KcY/qeNO5GRKmpsZqTHE/M6Vu7Gj2SkxoUTAwuXd5gW49FBZomPcYtFVDBRHGJRHAD47DDDMO8fzwyMyAgwmzA9f18/DgzzNzPzTjOPHPd93VdQgghhBDC1m7fvk12djbnzp2jsrISvV6PVqvF29ub0aNHExUVRWBgoLOnKUSPI3EB0V1JMoQQQgghhBBC2MjEiRPJzc1lxYoV/O53v2vxPrX1DaxIP0PWldukzIrgW720Dp6l83xTo2fp/+Typ/M32rzfD37wA5KSkvDz83PQzIQQQghhS7LYKYQQQrie2jt3KMnObnJbSXY2td98g+e3vuWkWQkhhBBCCCG6A6PRyMGDB9m1axcnTpygqKjogY8JCgpi4sSJLFy4kOnTp+Pm5uaAmQph0dPi2BIXEN2ZJEMIIYQQQgghhA35+fmxd+9eYmJiWLlyJVVVVS3e749f3uDzYh17/yWK7wYHOHiWjve/haXM/WM2ReU1rd6nd+/ebN26lQULFrhs1wwhhBBC3E8WO4UQQgjXV/Txx5gaGprcZmpooOjjjxn+/e87aVZCCCGEEEKIrqy0tJSUlBS2b99OYWHhQz22qKiItLQ00tLSCA4OJj4+nri4OAICuv+6qXCOnh7HlriA6M7Uzp6AEEIIIYQQQnQ3KpWKRYsWkZ2dTURERKv3Kyqv4anUz/jJp19S3yzw0F3UNzTwn598yVOpn7WZCBEREUFOTg4LFy6URAghhBCiiygtLeWXv/wlw4YNY/bs2aSlpbVrAQksi52zZs1i2LBh/PKXv6S0tNTOMxZCCCF6rq+zslq8/VortwshhBBCCCFEa0wmE6mpqQwfPpx169Y1TYTw8ICQEPjud+HFF+HllyE+Xvn7xReV20NClPvdU1hYyLp16xgxYgSpqamYTCYn/Faiu5I4tkLiAqI7k84QQgghhBBCCGEnI0eO5Pjx4/z7v/87W7ZsafE+DSb4v3+/wMdflbL3X6IY4ufl4FnaT6Gumrl/PMXRa9+0eb8f//jH/OIXv8DDKugphHBtPa11sBCiKZPJxK5du1i1ahVlZWVNfubhpmKQrxtBPhoG+mro7a5Co1ZR32CiymDienk9RRX1FJcbqTMqi5qNi50bN24kMTFRukQJIYQQNlan03Hr889b/NnNkyfRl5Wh9fNz8KyEEEIIIYQQXVFxcTHx8fGkp6dbblSpYORImDxZ+VvdRo3uqCjl74YGuHABjh1T/jaZ0Ol0LFq0iI8++ojk5GQGDhxo319GdGttxbHx8IBBgyAoCAYOhN69QaOB+nqoqoLr16GoCIqLoa4O6NpxbIkLiO5OkiGEEELYjMlkIjs7mxMnTnDq1Clyc3MpLS01b4wKCAggIiKC8ePHM3HiRKKiorrMSaEQQgjRUR4eHvzXf/0XzzzzDIsWLaKkpKTF+3329R3GbvuEHbPGMefbgxw8S9vb90UxSw+cRldraPU+ffv2JTU1lenTpztwZkKIjujprYOFEBYtLXaqgJEB7kwO8mRkgDvqNr7rRw1Qkh8bTCYulBo4VlTLhVIDJpDFTiGEEKID+mm1vNC3Lz5ubmSvXYtWq73vPvqyMkz19S0+3lRfz9/i4trc9ODh50f4K6/gGxxss3kLIYQQQgghup6jR48ya9Ys7t69a7kxIgJiY6FPn4cbTK2GUaOUP3fuQEYG5OYCkJ6eTlhYGAcOHGDKlCk2/A1ET9GTknYkLiCEJEMIIYSwgYqKCvbs2cN7771Hfn5+q/e7fv06Z8+eJTU1FYCwsDASEhKYN28ePj4+jpquEEII4RTPPvssZ86cYcGCBfz1r39t8T66WgMvfPQP4qNK+K/YMLzcu95XtmpDPasP55Occ7XN+0VHR7Nr1y769+/vmIkJITqktLSUlJQUtm/f3rTNdTs0tg5OS0sjODiY+Ph44uLiCAgIsNNshRD21tJiZ0R/LbHDvOjj9XAJT2qVilF9tYzqq+VOtZGMy9Xk3tQDstgphBBCPIznAgKYfG/DwjenTnVojG/OnXvgfdw8PJj48593aHwhhBBCCCFE15eVlcVzzz1HTU2NcoOPD8yZA6NHd37wPn3gpZdg7FjYtw8qKrh79y7R0dHs37+f6Ojozh9D9Bg9LWlH4gJCQBupTUIIIUTbTCYT77//PkOGDCEhIeG+RAi1Cvw81PTppcbPQ426WWHI/Px8EhISGDJkCO+//z4mk8mBsxdCCCEcb8CAAWRkZPDrX/8ajab1RIft2Vd5POXv5N0qa/U+rujsrTIeT/l7m4kQGo2GjRs3cvjwYUmEEMKFmUwmUlNTGT58OOvWrWuSCOHhpiLkEQ3fHeLJi2HevBzhQ3yULy9H+PBimDffHeJJyCMaPNwsXwAaWwePGDGC1NRUOfcXogvKysoiOjravIDko1WxaKwPL4X7PHQiRHN9vNx4KdyHRWN98NEq7x2Ni51ZWVmdnrsQQgjRnZ2uqKDB3ufXKhUDv/td+x5DCCGEEEII4bI+++yzpokQoaGwdq1tEiGsjR6tjBsaCkBNTQ3PPfccR48ete1xRLfVPI6Njw8sWqQk2zxsIkRzjUk7ixYp4+IacWyJCwghnSFEB5hMJrKzszlx4gSnTp0iNzeX0tJS9Ho9Wq2WgIAAIiIiGD9+PBMnTiQqKgqVSvXggYUQXUpRURFxcXEcPny4ye1D/TWM6+/BYF83BnhrcLfaAGUwmrhRWc+1ciO5N+ooLFPab+l0OpYuXUpaWhopKSkEBQU59HcRQthPeXk5ly5doq6uDg8PD4YPH46vr6+zpyWEU6nVav7t3/6NJ598kh/84AdcuXKlxft9UVLB4yl/579iw1gx/lGXPqc2mUy894+vWJOZT52xodX7DRs2jN/97nc8/vjjDpydEOJhtdQ6WAWMDHBncpAnIwPcUbfxnhQ1wAOABpOJC6UGjhXVcqHUgAlcrnWwEKJ9mi92hvZxZ264N17utq21MzpQy6OP+LM3r5KCOwbzYmdWVpZ0iBCii5K4gBD293lFBb8sLGTFoEF8y93d5uP3Cgxk8q9+Rb8JE2w+thBCCCGEEML1FRcXM3v2bEsiRFgYzJ0LbRR+6xQvL1i8GPbsgXPnqKmpYdasWeTn58uagmhTi0k7c+cqrylbGj0aHn0U9u6FggKnx7ElLiCEJEOIh1BRUcGePXt477337qv+bu369eucPXuW1NRUAMLCwkhISGDevHn43MuIE0J0bbm5ucTGxlJSUmK+LaK/lieH9mKgT+sfLe5uKob4uTPEz50pgz0prqjn71dryL2pB+Dw4cNERkaSkZFBRESE3X8PIYR95Ofns23bNrKysigoKLjv56GhoURHR7N8+XLCwsKcMEMh7ueMDTpPPPEEubm5rFixgt/+9rct3qfO2MAPD54l8/Jt3p8dSR8vrV3n1BF3qvW8/D857L9ws837zZ07l/fee082Pgnh4lpqHRzRX0vsMK+HrvyuVqkY1VfLqL5a7lQbybhcbT73d5XWwaJ7uX37NtnZ2Zw7d47Kykpz4Q5vb29Gjx5NVFQUgYGBzp5ml9N8sTMsUMvccG80zds/2oiXu5rF43zYc7aCcyUGWewUoguSuIDoarpD0s4X1dX8+5Ur7Fu8mNJjx2w27qAnn2TCz36G5yOP2GxMIYQQQvQc3eE8S4iezmQyER8fb1kzaNxcbq9EiEYaDcybBzt3QkEBd+/eZdmyZRw4cMClC8gJ5+npSTsSFxA9nSRDiAcymUx88MEHrF27Fp1Od9/P1Srw0arRqKG+ASr0DTRYdd3Jz88nISGBdevWsWnTJpYsWSInJUJ0YTk5OXzve9+jrKwMAF8PFS+M8mZU34ffnDnIR8NL4T5E9NeT9mUl5XUmSkpKeOqpp/jkk08kIUKILuby5cskJCSQmZnZ5v0KCgooKChg69atxMTEkJSUREhIiINmKYSFK2zQ8fX1Zc+ePcTGxpKQkEBVVVWL99t/4Santv2Nvf8ynn8aGmCXuXTEp1dLmPfHbIoralu9j7e3N++99x7z58934MyEEB2RlZXVpGKOj1bFnFHejA7sfCJWHy83Xgr3YWw/Pfu+rKRCbzK3Dt6/fz/R0dGdPoboeYxGIwcPHmTXrl2cOHGCoqKiBz4mKCiIiRMnsnDhQqZPn46b28Ml+fQ0zRc7GztC2CsRopFGrWLeGB92nq6g4I5BFjuF6CIkLiC6EleICdhapdHIuJ//nLtZWeRu2kSDXt/hsdRaLRFr1xL60kvy2SuEEEKIh9Idz7OE6Ml27dpl6SLt4+OYRIhGGo1yvLffhspK0tPT2b17NwsWLHDM8UWXIUk7CokLdE1S6Ms2JBlCtKmoqIi4uDgOHz7c5Pah/hrG9fdgsK8bA7w1uLtZ3vAMRhM3Kuu5Vm4k90YdhWX1AOh0OpYuXUpaWhopKSkEBQU59HcRQnReUVER06ZNMydCDPXXsHicD17u6k6NO6qvljX+/uw8XcFVXT1lZWXExsaSk5Mj7xVCdBHJycmsXr2a6upq821aNzVj+/kypp8fPloNFfp6zt4q48ytcvTGBgAyMzMJDw8nMTGRuLg4Z01f9DCutkFHpVKxYMECJk2axIsvvkhOTk6L9yuuqOWp1M9487sjeeufRqJRd+7ztzPqGxr4v5+e5+dHCjC1cb+oqCh+97vfMWLECIfNTQjRMc1bBzdueO7suX5zowO1PPqIP3vzKim4Y3B662DRNZWWlpKSksL27dspLCx8qMcWFRWRlpZGWloawcHBxMfHExcXR0CA6yQbuhLrxU4frcohiRCNNGrleG8f01GpN8lipxAurqW4gLsbPDpAzaP91Xh5QHUdfHWzga9uNGAwKveRuIBwNFeLCdiaSqVi5Ny5BEZFcfS11yi/cuWhx/ANCWHKpk08MnKkHWYohBBCiO6qu59nCdETlZaWsmrVKssNc+Yo1fAdyctLOW5qKgCrVq3i2WeflXiuaEKSdiwkLuD6pNCXfUgyhGhVbm4usbGxlJSUmG+L6K/lyaG9GOjT+kvH3U3FED93hvi5M2WwJ8UV9fz9ag25N5VMs8OHDxMZGUlGRoZUfReiCzGZTCxdutT8njDUX0NcpC9aN9tsgvByVxMX6UtKTjlXdfWUlJQQFxfHwYMHJcNUCBe3YcMG3nrrLfP1YL9erJ08gvljBuPn6X7f/ctqDew+e41Nxy5SWFZDdXU1y5Yt49atW7z55puOnLrogVw5cWfEiBEcP36cdevWsXnz5hbvYwI2/O8FPv6qhN/+y3iC/R0ccAQKddW89MdTHLv2TZv3W7t2LT//+c/RajtfUV4IYV/NWweHBWrtuuHZy13N4nE+7DlbwbkSg9NbB4uuw2QysWvXLlatWmVO0m/k4aZikK8bQT4aBvpq6O2uQqNWUd9gospg4np5PUUV9RSXG6kzKql8hYWFrFu3jo0bN5KYmMiCBQvk+6eV5oudc0bZPkHqQbzc1cwZ5U3qmQpAFjuFcFXN4wKB/ipemOrO0xEaenve/75aVWvi49x60o4YuK0zSVxAOExPStp55LHHmPb//h+ZL72EroWKzK3xDw0l5re/RdOrlx1nJ4ToTsrLy7l06RJ1dXV4eHgwfPhwfH19nT0tIYSDtXSe5eauZUDoGPqPCMfDy4e66gpuXszjRsFZjAZl/1BXPM8SoidJSUmxxGEjImD0aOdMJCxMOX5uLjqdjh07dvDGG284Zy7C5UjSTsskLuB6pNCXfUkyhGhRTk4O3/ve98wnNL4eKl4Y5c2ovg+/kWmQj4aXwn2I6K8n7ctKyutMlJSU8NRTT/HJJ59IQoToNJPJRHZ2NidOnODUqVPk5uZSWlpqbhkUEBBAREQE48ePZ+LEiURFRcnmhg744IMPyMjIAJT3hMXjfGyWCNFI66aMu/m4jvI6E4cPH2bnzp0sWbLEpscRQthOcnJykw0Py6OG8nZMGN7a1k8z/TzdWflECIvGDeG1zHy2ZV8FYP369QQGBrJs2TJ7T1v0UF0hcUer1bJp0yaio6NZsGABt2/fbvF+x659w9htf+NP/zqBpx7ta5e5tOSTr0r45z+cpKyuvtX7BAYGsmvXLmJjYx02LyFExzVvHdzYEcLeld81ahXzxviw83QFBXcMTm8dLFxfcXEx8fHxlupOgAoYGeDO5CBPRga4o27jtRM1wAOABpOJC6UGjhXVcqHUgAmlm+miRYv46KOPSE5OlqSce6wXOyP6axkd6JwEx7BALRH9teTe1MtipxAuqHlcYMYTGpZO19LLo/X35N6eKmZPcic6UsOOQ3rSP1e+X0hcQNhTT0zaUanVVBYXP9RjKouLUUl1QSHEA+Tn57Nt2zaysrIoaGFjVWhoKNHR0SxfvpywsDAnzFAI4UjNz7P8BwQzdf5qImfMxdPH777711aUkZO+lyO7t6C7Udglz7OE6AmMRiPbtm1TrqhU4Ox1v5gYOH0aTCa2bdvGa6+9JpXRBSBJO22RuIBraKvQFx4eMGgQBAXBwIHQu7fSbaS+Hqqq4Pp1KCqC4mKoqwOk0FdrHFvKS3QJRUVFTJs2zfwfb6i/hjWT/DuUCGFtVF8tayb5M9Rf2RxZVlZGbGxsu9q8CNGSiooKkpKSGDNmDI8//jivvPIKqampnD17luvXr1NaWsr169c5e/YsqampvPLKKzz++OOMGTOGpKQkKioqnP0rdBkVFRWsXbvWfP0FO1aD9HJX88Iob/P1NWvWyL+VEC7q8uXLrF692nx9c0wYSTPHtZkIYc1bqyFp5jg2RVu+jK5evZorHWjTJ8SDtJS4k5/wNCufCGkxEQIsiTv5CU+zPGqo+fb169eTnJxs1/nGxsZy5swZYmJiWr1PWV09z//hJBV1BrvOpVFFnYHnft92IkRsbCxnz56VRAghuhDr1sE+WpVDEiEaadTK8by1yvEaWwcL0dzRo0cJDw9vkggR0V/L61P8eTnCl1F9tW0mQlhTq1SM6qvl5QhfXp/iT0R/S7wrPT2dsLAwjh49avPfoauxXuxUAbHDHN+NylrMMC8a/4W3bduG0Wh06nyEEIrmcYG4Z7W88rxHm4kQ1np5qHjleQ/iplveiyUuIOyhpaSd7at6MXuSe4uJEGBJ2tm+qhcznrDEuhwRE7CVG8eOUV9V9VCPqa+q4uaxY3aakRCiq7t8+TKxsbGEh4ezdevWFhMhAAoKCti6dSvh4eHExsbKZ7sQ3Vjz86wJLyzj1Y9ymfxiQouJEACePn5MfjGBVz/KZcILlkTornSeJURPcOjQIb7++mvlysiR0KePcycUEKDMA2Uj8OHDh507H+ESXDJp595ahSvEsSUu4HzFxcXMmjWLRYsWWRIhVCp47DFYsgR++lNYsQJmzYKoKOX24cOVv6OilNtXrFDut2SJcvu911hjoa9Zs2Zx/fp1J/6WrkGSIUQTJpOJpUuXUlJSAiiJEHGRvjbb9OzlriYu0tecEFFSUkJcXBwmk8km44uewWQy8f777zNkyBASEhLIz89v8nO1Cvw81PTppcbPQ03zfTz5+fkkJCQwZMgQ3n//fXn9tcOePXvQ6XSAsuGks8lRDzKqr9a8IUWn07F37167Hk8I0TEJCQnmdrfLo4by40nDOzTOmskjzBvNq6urWbFiha2mKATQdRN3+vfvz6FDh3j77bdxd285YaO8rp6TxXftOo9GJ4vvUqFvORHC3d2dTZs2cfDgQfr16+eQ+QghOq956+A5dkx6bo2Xu5o5VsnQq1atorS01KFzEK4tKyuL6Ohoc/cSH62KRWN9eCnchz5enatO1MfLjZfCfVg01gefe0k5d+/eJTo6mqysrE7PvSuzXuwcGeDe6ee6swK83BjZRzkfksVOIVyHdVxgxhMa5nyn5e8tDzJnqrt5s7nEBYSt9eSknWsdPJ/p6OOEEN1bcnIyY8aMITMz03ybm7uWoNHjGf/8Yqa89CPGP7+YoNHjcXO3vGdmZmYSHh5OSkqKM6YthLCj5udZz/54I8+v+w0eXt5tPMrCw8ub59f9hmdX/9p8W1c5zxLdz+3btzl06BCbNm3iJz/5CevWreMnP/kJmzZt4tChQ612cu/OUlNTLVcmT3beRKxNmmS++OGHHzpvHsJlSNJO2yQu4FwtFfoiIgJefx1efhlGjQJ1O9dl1Wrl/i+/rDw+IsL8Iyn0pWjf7h/RY3zwwQdkZGQA4OuhYvE4H7Rutq0IqXVTxt18XEd5nYnDhw+zc+dOlixZYtPjiO6pqKiIuLi4+04WhvprGNffg8G+bgzw1uBu9bo1GE3cqKznWrmR3Bt1FJYpm/h0Oh1Lly4lLS2NlJQUgoKCHPq7dBUmk4n33nvPfP3Job0cctx/GtqL3Jt6AN577z3i4+OlpZMQLiQvL8+86BHs14u3YzrX6vrtmDAOXbpFYVkNmZmZ5OfnS/tsYTO2TNy59E0V27KvmjfoNJ4724tarWbt2rU8+eSTPPvss+akZWsDvD3tOodG/Vs5TmBgIOnp6YwfP94h8xBC2I516+CI/lpGB9o36bk1YYFKMnTuTb3LtA4WruGzzz7jueeeo6amBoDQPu7MDbd90s7oQC2PPuLP3rxKCu4YqKmp4bnnniMrK4spU6bY9FhdhfVi5+Qgx5xrPMikwZ6cv6N0xPrwww+ZMWOGk2ckRM9mHRcI9FexdHrnziOWTtfyjwIjt3UmiQsIm7Jl0s71Ow2kf17vsJhAZzQYDBR/8kmHHlv0t7/RYDCgbqUwgxCi59mwYUOTyu/+A4KZOn81kTPmtlj5vbaijJz0vRzZvQXdjUKqq6tZtmwZt27d4s0333Tk1IUQdmR9njXhhWVMnfdqh8aZOn81d65d5mRacpc4zxLdg9Fo5ODBg+zatYsTJ05QVFT0wMcEBQUxceJEFi5cyPTp03Fzc27xEHs7ceKEcsHDw7y52+kee0yZT10dJ0+edPZshAtw2aSd8+cB58axJS7gXFlZWU3Wt/DxgTlzYPToth/YHn36wEsvwdixsG8fVFSYC33t37+f6Ojozh+jC5LOEMKsoqKCtWvXmq+/YMeKkF7ual6wqvy4Zs0aKioq7HIs0X3k5uYSGRnZJBEior+W1RP9+OHjfkwZ7MkQP/cmiRAA7m4qhvi5M2WwJyuf8OPViX7mrgMAhw8fJjIyktzcXIf9Ll1Jdna2ufvGUH8NA30ck0c3yEdDsJ9yrLy8PHJychxyXCFE+2zfvt18ee3kEe2usN8ab62GNVYb1K3HF6Iz7JG4E+ynJAY2btBxhPDwcOrq6u67fai/F9/u6+OQOYzu62P+3a3V1tYSHh7ukDkIIWzHunWwCogd5uXU+cQM86Lxm5wrtA4WzldcXMzs2bPNgeKwQC2Lx/nYNVa1eJwPo/sqwf2ampoe3Vq4cbHTw03FyADXWPB4LMAdj3sxH1nsFML5rL+3vzDVvd1V9lvTy0PVZJO6xAWELdgjaSfQX3mtOzIm0BG3Pv8cfXl5iz8LevppZh48SND3vtfiz/Xl5dz6xz/sOT0hRBeSnJzcJBFiwgvLePWjXCa/mNBiIgSAp48fk19M4NWPcpnwwjLz7evXryc5OdnucxaivLycnJwcjh8/Tk5ODuWtfCaKjrM+z/IfEMz0V3/VqfGmv/or/AcEA65/niW6ttLSUn75y18ybNgwZs+eTVpaWrsSIUAp3pqWlsasWbMYNmwYv/zlL7ttl+Pbt29bnpdBg9pfudze1GplPsC1a9daLCInehaXTtrBuXFsiQs4T/NCX4SGwtq1tkmEsDZ6tDJuaCiAudBXT+0Q4SKfVMIV7NmzB51OBygbzEf1tW9FyFF9teYN6Tqdjr1799r1eKJry8nJ4amnnjKfyPp6qFgyzoeXwn0eenP+IB8NL4X7sGScD773FulKSkp46qmnJCGiBeYTR2Bcfw+HHjtigOV41vMQQjhf1r22eFo3NfPHDLbJmAvGDkHrpm4yvhCd1V0Sd/7617+2uGDzL48NcFjnJJVKxb+MGnjf7eXl5Xz88ccOmUN3J4t0wpGsWwePDHCnj5dzq1gFeLkxso+yAdIVWgcL5zKZTMTHx3P37l3A0hFCo7bvZ55GrWLeGB9C770W7969y7JlyzCZTHY9rquxXuwc5OuG2kW6NKpVKgb5KO9VstgphPM1fm93d4OnI2xTPOWZSA3ubk3HF6IzenLSzrUW/g+ptVoeX7+eqe+8g29wMFP/+78Z/+abqLX3rwe29HhhXxITEK7o8uXLrF692nz92R9v5Pl1v8HDy7uNR1l4eHnz/Lrf8OzqX5tvW716NVeuXLH5XIXIz89n5cqVjBw5Ej8/P6Kiopg8eTJRUVH4+fkxcuRIVq5cKZvsbcT6PGjq/NXtfl9ojYeXN1Pnv9ri+ELYgslkIjU1leHDh7Nu3ToKCwstP/TwgJAQ+O534cUX4eWXIT5e+fvFF5XbQ0LMm5tBiWGvW7eOESNGkJqa2u3ih9nZ2ZYrQUHOm0hL7iVDQLN5ih5HknbaJnEB52he6IuwMFi8GLzsVJTOy0sZ/16iRU8u9OUi7wDC2UwmE++99575+pND76/4ag//ZHWc9957r9udHArbKCoqYtq0aZSVlQFKd4I1k/w7nbAzqq+WNZP8GeqvLNaVlZURGxvb7qzvnuLUqVPmy4N9HbtByvp41vMQQjhXeXk5BQUFAIzt54ufp20qxfp5ujOmny8ABQUF0jVK2ER3SdzZt29fi7fP+fb9yQn2NKeFZAhofX7iwWSRTjiLdevgyUGeTpyJxaTBlnl8+OGHzpuIcLpdu3aRnp4OgI9W5ZBEiEYatXI8b61yvPT0dHbv3u2QY7sK60XEIAd1h2yvQb6W+chipxDOYx0XeHSAmt6etnmP7u2pYmh/5buWxAWELfTUpJ0Go5Giv/2tyW1+w4Yx7Q9/YMSLL5qLKqhUKkJ/8AOm/eEP+A0b1uT+RR9/TIN0a7M7iQkIV5eQkEB1dTWgdISYOu/VDo0zdf5qc4eI6upqVqxYYaspCsHly5eJjY0lPDycrVu3ms9TmysoKGDr1q2Eh4cTGxsrSTmd1Hge5OauJXLGXJuMGTljHm7u2ibjC2ELxcXFzJo1i0WLFpn3HaFSKdXblyyBn/4UVqyAWbMgKkq5ffhw5e+oKOX2FSuU+y1Zotx+75xap9OxaNGibrfx9Ny5c5YrAx27FvlAVskQcp7cs0nSTuskLuAczQt9ERoKc+eCxs7rLBoNzJtn7hDRUwt9STKEAJQ33cYThKH+moeutN9Rg3w0BPspx8rLyyMnJ8chxxVdh8lkYunSpeYsyaH+GuIiffFyt83bl5e7mrhIX3NCRElJCXFxcT3uw6Atjd0y1CoY4O3YTRADvDU07neR9wchXMelS5fMl8f0a7kNdkeNvTeeyWRqchwhOqK7JO4YDAb2799/3+0DfTyZGPQtux67uUmDv8UA7/s3Te/fv5/6+nqHzqWrk0U64WyNndc83FSMDLDN+2NnPRbgjoeb8gXAma2DhXOVlpayatUq8/U5o7xtFgNoLy93NXNGWSoarlq1qtu2vG+J9WLnQF/XTYaQxU4hnMf6+/qj/W37Hh0yQBlP4gKis3py0k7NrVvU3rljvj78X/+V2D/8Af97i+LN+YeGEvuHPzD8//wf8221d+5Qc+uW3efaU0lMQHQFeXl5ZGZmAuA/IJjpr/6qU+NNf/VX+A8IBiAzM1PO54VNJCcnM2bMGPNrFZTN+UGjxzP++cVMeelHjH9+MUGjx5s32YPyGgwPDyclJcUZ0+7yrM+zBoSOwdPHNmuFnj5+9B8RDrjueZboeo4ePUp4eLi58AoAERHw+utK54dRo9pfTV6tVu7/8svK4yMizD9KT08nLCyMo0eP2vg3cI7KykrLld69nTeRlljNp6qqyokTEc4mSTutk7iAc1gX+sLHxzGJEI00GuV43sraVk8s9CXJEAKwbIIAGNffo4172l7EAMvxrOchBMAHH3xARkYGAL4eKhaP80HrZttqkFo3ZVzfey2yDx8+zM6dO216jK6sccOHj1aNu42f+wdxd1Pho1U+qu5YnaQJIZyrrq7OfNlHa9sTd2+tpSNMbW2tTccWPU93Sdz5+9//zjfffHPf7f/82ADUKsd+NqtVKv75sQH33X7nzh3+/ve/O3QuXVlLi3RaNzWPD/Tn5YhgXp0wjJcjgnl8oL+5CwnIIp2wHevWwYN83Rz+XtIatUrFIB/lXMCZrYOFc6WkpJgrtEX01zI6sHNdITsqLFBLRH/l2Dqdjh07djhlHs5gvdjZ29013h8aWc9HFjuFcB7ruICXjZcTelm97UtcQHRGT07a6dWvH0NnzcJv+HCmJibyxFtvoenVdkd4Ta9ePPGf/8l3tmzBb/hwhs6ejVf//g6acc/SUkzA3Q1Cg9TEjtfwz1M0xI7XEBqkNnchAYkJCMfbvn27+fLU+avx8PJu494P5uHlzdT5r7Y4vhAdsWHDBuLj483dS/wHBDPr3xJ586/F/HD3Mea8tZ2Zazcx563t/HD3Md78azGz/i3RnJRTXV3NsmXL+NnPfubMX6NLsj7/aUxesJUBoWMA1z3PEl1LVlYW0dHRlgrdPj6waBG89BL06dO5wfv0UcZZtEgZF6USd3R0dLfobKLX6y1XHLWRt72s5mMdnxA9jyTttE7iAo7XvNAXc+aAl5djJ+HlpRz3np5W6MvFPq2Es5w6dcp8ebCvWxv3tD3r41nPQ4iKigrWrl1rvv6CHatBermreWGUNx+cVqoLrFmzhu9///v43PvS0pM1fsnROCl9rnH/n3yJEcJ1eHhYdjpU6G1bCb5Sb2mz5+l5f/V5IR5Gd0ncSUtLa/H2F77tnAoXL3x7IO+d+uq+29PS0nj66aedMKOuZcOGDbz11lvm68F+vVg7eQTzxwxusXtJWa2B3WevsenYRQrLasyLdLdu3eLNN9905NRFN2LdkjfIQZ0h22uQr4YrOuX8Ijs7m2nTpjl5RsKRjEYj27ZtA0AFxA5zcKC4mZhhXpy+qccEbNu2jddeew03N8fGzZzBerFTo3atZAjr+UicQAjnsY4LVNv4v2KN1X4LiQuIzujJSTtqNzcm/6pjFdyHxMQwJCbGxjMSjZrHBAL9Vbww1Z2nIzQtdi+pqjXxcW49aUcM3NaZJCYgHKpxI6ebu5bIGXNtMmbkjHkc3PI6RoO+W2wUFc6TnJzc5P10wgvLmP7qr9pM2vH08WPyiwlEzV7AocQ3OJmWDMD69esJDAxk2bJldp93d2F9nuXhZdv9FNpeln9DVzzPEl3HZ599xnPPPUdNTY1yQ2ioUjHb1htTR4+GRx+FvXuhoICamhqee+45srKymDJlim2P5UBardWXHlfrDG81H+v4hOh5JGmndRIXsI/bt2+TnZ3NuXPnqKysRK/Xo9Vq8fb2Jj8/31zoi4gI5fPBGcLClOPn5poLfb3xxhvOmYuDudi7gHCW3NxcANQqGODt2JfFAG8NahU0mCAnJ8ehxxaubc+ePeh0OkCpBjmqr32rQY7qq1R9zL2pR6fTsXfvXpYvX27XY3YFjV9y6hucc3zjvePKlxjhKOXl5Vy6dIm6ujo8PDwYPnw4vr6+zp6WSxk+fLj58tlbZTYd+8y98VQqVZPjCNER3SFxx2g08qc//em+2/t6aZk6JMBux23L1OA+BHhpKa3WN7n9T3/6E7/5zW96xCbRjmq+SLc8aihvx4Th3Uayjp+nOyufCGHRuCG8lpnPtuyrgCzSic6xbh080Ne1QkODrOaTn58vyRA9zKFDh/j6668BGBngTh8v536mBHi5MbKPO+fvGCgsLOTw4cPMmDHDqXNyBOvFzvoGkxNncj/r+UicQNiLxAUezPr7+lc3bRs0vHJDGU/iAqKzJGlHuJrmMYEZT2hYOl1LL4/Wk097e6qYPcmd6EgNOw7pSf9ciW9JTEDYW3l5OQUFBYBSpd3TxzZddz19/Og/IpziL7IpKCigoqJCCtOJh3b58mVWr15tvv7sjzcydd6r7X68h5c3z6/7DX0GD+PgltcBWL16Nc888wwhISG2nm63ZH2eVVddYdOx9TWWKt9yniU6qri4mNmzZ1sSIcLClEQIe22W9vKCxYthzx44d46amhpmzZpFfn4+Awc6p7BZZ3l7WyWXuVp3Vqv59Ha1bgDCoSRpRzjSuHHjuH79evvuXF0NX3wBjz0GaidUn46JgdOnwWTqUYW+nFTnW7iaxnYoPlo17m6Orfjm7qbCR6u8FO/cuePQYwvXZTKZeO+998zXnxzadqsmW/knq+O89957mEyutejvDAEBykbLCn0DBqNjnw+D0USFXlkA7dPZNoVCtCE/P5+VK1cycuRI/Pz8iIqKYvLkyURFReHn58fIkSNZuXIl+fn5zp6qS/D19SU0NBSAM7fKKas12GTcsloDZ2+VAxAaGiqLIKLTukPiztGjR7l9+/Z9tz//2ADcOlCp2WQy8bevSthy/BJ/+6qkQ+c6GrWa50cOuO/2W7ducezYsYcer6dovki3OSaMpJnj2kyEsOat1ZA0cxyboi1VJFavXs2VK1dsPlfR/Vm3Du7t7lpV363n44zWwcK5UlNTzZcnB7nGgvekwZZ5fPjhh86biANZL3ZWGVwrLmI9H1nsFLYkcYGHYx0X+OpGA1W1tnmvqKo1cfVecoXEBURnSdKOcCXNYwJxz2p55XmPNhMhrPXyUPHK8x7ETbds9pGYgLCnS5cumS/3HxFu07EHhI4BlDil9XGEaK+EhASqq6sBpSPEwyRCWJs6fzUTXlCSyqqrq1mxYoWtptjtWZ//3LyYZ9OxbxScBeQ8S3ScyWQiPj6eu3fvKjc0doSwd9V4jQbmzVOOB9y9e5dly5Z12T1Ho60rmrd386+jFBebL4aFhTlxIsLZJGlH2EtLe5jbnQgBcOEC7NwJv/oV/O1vjn99BgTAyJEA5kJfPYEkQwjA0jZI46RXhNu940p7e9EoOzvbvLg41F/DQB/HVCsd5KMh2E85Vl5ennQrASIiIgCle8uNSsdm0t6orKex6GNkZKRDjy16hsuXLxMbG0t4eDhbt241VzpqrqCggK1btxIeHk5sbKwsMgHR0dEA6I0N7D57zSZj7jrzNfp77WAaxxeiM7pD4s6+fftavH3OqIevJFNSVces353g6V1H+XFmPk/vOsqs352gpOrhz8HnfLvl47c2X9F0kW551FB+PKljCzlrJo9gedRQQBbpRMdZtw7WdCCxyp6s5yMxgp7nxIkTAHi4qRgZ4O7k2SgeC3DH417hkJMnTzp5No5hvdh5vdy1KmoVW81HFjuFLUhcoOMav7cbjPBxrm3eK/6aU4/B2HR8ITpKknaEK7GOCcx4QsOc73TsXHfOVHdmPKGsYUlMQNiT9fdxDy/bvs9pe1k2rdXW1tp0bNH95eXlkZmZCYD/gGCmv/qrTo03/dVf4T8gGIDMzExJfm4n6/OsGwVnqa2wTTGq2ooyc3KFnGeJjtq1axfp6enKFR8fxyRCNNJolOPd26Cdnp7O7t27HXNsG4uKirJcKSpy3kRaYpUM0WSeoseRpB1hayaTidTUVCZMmHD/Dz08ICQEvvtdePFFePlliI9X/n7xReX2kBDlfo3u3oVDh+DXv4ZTp8CRCXKTJpkv9pRCX5IMIQBL26B62xbHabd7+x6lLZAwa9wAATCuv2NfFxEDLMeznkdPNX78ePPla+VGhx7b+njW8xDCFpKTkxkzZow5aAqgdVPz+EB/Xo4I5tUJw3g5IpjHB/qjdbOcMmVmZhIeHk5KSoozpu0yli9fbr686dhFKvWd2/hQqa9n83FLFSjr8YXojK6cuNPQ0MAf//jH+27393TnqUf7PtRYH18pYcy2v5F+8VaT29Mv3mLstk/4+ErJQ433vUf74udxf/D4j3/8Y5etcmNP1ot0wX69eDumc0Gvt2PCCPZTOprJIp3oCOvWwfUNrvV/1no+EiPoWW7fvk3RvYW1Qb5uqFWukaijVqkY5KO0D7527RolJQ/3mdkVWS8iFlW4bjKELHaKzmopLuDuBqFBamLHa/jnKRpix2sIDVLjbtVFXOICCuvv7WlHDNTUde6coqbOxL7PLAnsEhcQtiBJO8IVWMcEAv1VLLXq7tARS6drCfRXzpUlJiDsxfr7eF11hU3H1tdYulV6erpGR0DRdWzfvt18eer81Xh4ebdx7wfz8PJm6vxXWxxftK3xPMho0JOTvtcmY+ak78Fo0DcZX4iHUVpayqpVqyw3zJkDXl6OnYSXl3Lce1atWkVpaalj52ADgYGBBAUFKVeKi6HBSRsKm2toMG8yHzx4MH37Ptx6qeheJGlH2FJxcTGzZs1i0aJFlJcrhTFRqeCxx2DJEvjpT2HFCpg1C6KilNuHD1f+jopSbl+xQrnfkiXK7Y3rXDU18Ic/KN0iymyTRPpAjz1mTszoKYW+JBlCABAQEABAhb4Bg9GxGyEMRhMVeuWkqU+fPg49tnBdp06dMl8e7OvWxj1tz/p41vPoqSZOnGi+fPqmYyuz5t6wHM96HkJ01oYNG4iPjzdX4wr268W708dwe+10Po97kh2zI9gyLZwdsyP4PO5Jbq+dzrvTx5g3nlZXV7Ns2TJ+9rOfOfPXcKqwsDBiYmIAKCyr4bXMzi26vZaZT2FZDQAxMTFNs/iF6ISunLjzj3/8w7wp1Nrskf2bJGm1xWBs4I2/niN691FuVrb8OX6jspbo3Uf597+ew2BsXzBT66Zm9sgB991+7do1/vGPf7RrjJ7EehFt7eQReGs7V4XIW6thjVVnCVmkEw/LunVwlcG1kiGs5yOtg3uW7Oxs8+UgB3WHbK9Bvpb5WM+zu7Je7CwuN9LgIomODSYTxRXK7lNZ7BSd1TwuEOivImGWlt//hxf/ndCL1f/iQfwMD1b/iwf/ndCL3/+HFwmzLJtPJS7QNC5wW2dixyH9Ax7Rth2H9NzWKe83EhcQtiJJO8IVWH9nf2GqO708Opf028tD1aSzhMQEhD0MH26JOzVWabeVGwVnAVCpVE2OI0R7ZGVlAeDmriVyxlybjBk5Yx5u7tom44sHsz4POrJ7C3XVlW3c+8Hqqis5sjuxxfGFaK+UlBTKGjeZRkSAs75XhoUpxwd0Oh07duxwzjw6ybxHp64OLlxw7mQanT+vzAdartwuehRJ2hG2cvToUcLDwy2dhUB5H3/9daXzw6hRoG7nVnu1Wrn/yy8rj7/3eQDAl1/C5s3w1Ve2/QVam8egQUDPKfQlyRACgIh7/+kaTHCj0rEV325U1tNY+DEyMtKhxxauKzc3FwC1CgZ4O3YTxABvDep7seicnByHHtsVRUVFmVt2XdXVc91BVSGLK+opLFOOFR4eLu8PwmaSk5N56623zNeXRw0lP+FpVj4Rgp9ny+3J/TzdWflECPkJT7M8aqj59vXr15OcnGzvKbuspKQkvO5V09iWfZXNxy52aJzNxy6yLfsqAF5eXiQlJdlqikJ06cSdtLS0Fm9/YdTAdj3+yt0qvrPzCL8+epEHbfcwAb86epHv7DzClbtV7Rr/hW+3PI/W5t2TNS6iad3UzB8z2CZjLhg7xJwUI4t04mFZv3ddL3fdqu/SOrhnOXfunPnyQF/XTYboKZV3Gxc764wmLpQaHnBvxzhfaqDuXhEXWewUndE8LjDjCQ3bV/Vi9iR3enu2vEG1t6eK2ZPc2b6qFzOesLwnSFzAEhdI/7yefUc69n6x74iB9M+VcwCJCwhbkqQd4Qoav7O7u8HTEbY5z30mUmPuWiQxAWEPvr6+hIaGAkryQm2FbaqX1laUmZMrQkND8fHxscm4omcoLy+noKAAgAGhY/D08bPJuJ4+fvQfEQ5AQUEBFRW27YbSXVmfZ+luFHIo8Y1OjXco8Q10NwoBOc8SHWM0Gtm2bZtyRaWC2FjnTigmxlwRfNu2bRiNRufOpwMWLlxouXLsmPMmYu34cfPFRYsWOW8ewmVI0o7orKysLKKjo7l7965yg48PLFoEL70EnS3s3qePMs6iRcq4oHSJSEmBe+e1dnUvGQJ6RqEvSYYQAIwfP958+Vq5Y0/ArI9nPQ/RszW2ifPRqnF361yVnIfl7qbCR6u8Pd65c8ehx3ZFKpWKhIQE8/VPr9Y45Lh/tzpOQkICKpVjXweie7p8+TKrV682X98cE0bSzHHtrtDtrdWQNHMcm6ItAbjVq1dz5coVm8+1KwgJCWHLli3m62uzzrHiL6fbXXm/Ul/Pir+cZm2WZeNbYmIiISEhNp+r6Nm6YuKOyWRi3759993urdUQPSzwgY//XV4R47Z9wufFdx/quJ8X32Xctk/4Xd6DW4nGDAts8f1z3759mFykgrQrsF6kG9vPt9XEu4fl5+nOmH6+gCzSiYdn3ZK3yEHJzu1lnQwhrYN7lspKSwXB3u6u9f3Pej5VVe1LGuzqrBc7jxXVOnEmFsevWeYhi52io5rHBeKe1fLK8x7trtLdy0PFK897EDdda75N4gKWuEDKIT3v/rmu3dX3a+pMvPvnOlKsNqhLXEDYmiTtCGeyjgk8OkDdatLdw+rtqWJof2UdS2ICwl6io6MBMBr05KTvtcmYOel7MBr0TcYXor0uXbJ0bG5MXrCVAaFjACUub30c0Tbr86yTackc2b3lAY9o2ZHdWziZpiSZy3mW6KhDhw7x9ddfK1dGjuz8BtbOCghQ5gEUFhZy+PBh586nA6ZPn05wcLBy5cIFcPb+qdJS82b34OBgpk2b5tz5CJcgSTuiMz777DOee+45amru7VEMDYW1a23fWWj0aGXcewnnGAzw4Yf27xBhlQzREwp9STKEAKyy5IDTN+sceuzcG5bjWc9D9Gx6vRII0zjpXepekV3q6hz7/8FVzZs3D39/fwByb+r5sqRzFbQe5MsSPbk3lWP4+/szd65t2pwKkZCQQHV1NaB0hPjxpI61YF4zeYS5Q0R1dTUrVqyw1RS7nGXLlvHTn/7UfH1b9lXC3vuYd09epqy25cXlsloD7568TNh7H5s3lgNs2LCBuLg4e09Z9EBdMXHn9OnTfNXCl9+Zof3w1Li1+rhKfT2L9+fw0h9PUdHG72duGdqCCn09L/3xFEv257T5HHlq3Jgxot99t1+5coUzZ860+riurry8nJycHI4fP05OTg7l5eVt3t968WxMP9tUK2s09t54skgnHpZ16+DiciMNLpLA1GAyUVyhFEyQ1sE9T2McAECjdq1kCOv59JQ4gfVi54VSA3eqnVu9rrTayIU7yvcLWewUnWEdF5jxhIY53+lYouqcqe7mDhESF2gaF0j/vJ74d2rYf8xAVW3L5xhVtSb2HzMQ/06NeXM5SFxA2Ick7Qhbe5i4gPV39Uf723bBK2SAMp7EBIS9LF++3Hz5yO4t1FVXtnHvB6urruTI7sQWxxeiPay/j3t42bariLaXt/lyba1rFAToCpqfZx3c8jp//sXKdr9f1FVX8udfrOTgltfNt8l5luio1NRUy5XJk503EWuTJpkvfvjhh86bRwe5ubkRHx+vXDGZICPDuRPKzFTmgXIe4ebW+nqp6DkkaUd0VHFxMbNnz7YkQoSFweLFcC/R0+a8vJTxGxMtDAbYuRPKbNOFr0W9e5sv9oRCX5IMIQCl2mJYWBgAV3X1XHdQZcjiinoKy5RjhYeHExkZ6ZDjCten1SrV1eobnHN8473jenh4OGcCLsbHx4dNmzaZr6d9WUm1wT7/ONWGBtK+tARINm/eLG1yhU3k5eWRmZkJQLBfL96OCevUeG/HhBHs1wuAzMzMHpFF25r169ezfft2c/WXwrIafnQ4j8BNh3g85VOW/k8urx4+y9L/yeXxlE8J3HSIHx3Oo7BM+VLh5eVFcnIyb775pjN/DdHNdbXEnZa6QgDMGTWw1cfk3NARuf0TPjz9dav30Wq1JCYmUlhYyJYtW3B3b33z187TXxOV/Ck5N3St3qe1+bQ2/67qyy+/ZOXKlYwcORI/Pz+ioqKYPHkyUVFR+Pn5MXLkSFauXNniZ4H1Ip1POzsRtZe31hLolUU68bAaixHUGU1cKO1YdVxbO19qoM6oLGZI6+CepzEOAFDf4BoJOo2s59NT4gTWi50mIONytVPnk3m5msZ/BVnsFB1lHRcI9Fex1Kq7Q0csna4l0F9JlpK4QNO4wG2diaS/6Hnx59W8srWGLX+sY9tf6tjyxzpe2VrDiz+vJukvem7rlP/ZEhcQ9iZJO6KzOhoXsI4JeNn4NLKX1ceYxASEPYSFhRETEwOA7kYhhxLf6NR4hxLfQHejEICYmBhG27raquj2rL+P11XbtiOOvsayNu3p6WnTsbu75udZJ9OSSfx+BMd+v5XaipY399VWlHHs91tJ/H6EuSMEyHmW6JwTJ04oFzw8zB0ZnO6xx5T5ACdPnnTyZDomLi7OXDiV3Fw4d67N+9tNfr5yfJSCqkuXLnXOPB7g9u3bHDp0iE2bNvGTn/yEdevW8ZOf/IRNmzZx6NAhbt++7ewpdjuStCM6wmQyER8fz927d5UbQkNh7lzQ2HYt/z4aDcybZ+kQUVMD+/aZXzN2Od49PaHQl53/9URXoVKpSEhIICEhAYBPr9bwUrj9Nx///WqN+XJCQgIqlWtV/hPOExAQwPXr16nQN2AwmnB3c9xrw2A0UaFXNvr3cXbrPBeyZMkS0tLSOHz4MOV1JnaeriAu0hetDf9t9EYTH+RWUH6vKtf06dNZvHixzcYXPdv27dvNl9dOHoF3Jzekems1rJk0nB8dzjOP/+6773ZqzK5s2bJlPPPMM6xYscK8uURvbODUdR2nrutafVxMTAxJSUlS5UU4xPr16+nXrx+rV6+murranLizNuscY/r5MrafH95aNyr1Rs7cKuPsrXL0Rkvyn5eXF4mJiXYPxptMJtLS0u67vZfGjenD7+/E0GAy8c6Jy7z+13MY2tg8Ghoayu9//3siIiIAePXVV/nud7/LD37wAwoKClp8TMGdSibu+Du/fmY0r04cdt/5+vQR/fDUqKltlsG6b98+NmzY8MDftav4p3/6pzZ/XlBQQEFBAVu3br3vfc16ka6tbh0dUam3VOmWRTrxsBYuXGh+rzlWVMuovp3bEGoLx69ZNvBI6+Cex9vbUoWxyuBayRDW8+ltVUmnu4uLi2Pjxo3odDpyb+oZ20/P6EDHv1fk327aPdJVFzuF67OOC7ww1Z1eHp2LafXyUDHnO+4k/UVvHl/iAk3jAgYjXCxu4GJx60VVJC4gHKV5TKAxaWfHIT1D+6sJGaCmlxZq9HDlRgNXbzZgsGqM5KiYgHBNHY0LWMcEqm2876DGqoG3xASEvSQlJREeHk51dTUn05LpM3gYU+evfuhxjuzeYt7w7OXlRVJSkq2nKnqA4cMt3d5vXsyz6dg3Cs4Cyr4Z6+OI9ml+nqW7UciBjas5uOV1+o8IZ0DoGLS9vNHXVHKj4Cw3L+ZhNFg+yOQ8S3TW7du3KSoqUq4MGgRqF6kNrVYr87lyhWvXrlFSUtLluiEHBASQmJhoidfv2wePPmq/yuktqa5WjnvPO++8Q0BAgOOO3waj0cjBgwfZtWsXJ06csLwO2xAUFMTEiRNZuHAh06dPl83yNmAdxyY3F8aOtVTfd6QukrQjYNeuXaSnpytXfHwckwjRSKNRjvf221BZCV9+CdnZMH687Y9Vb9mb0BMKfbnIp79wBfPmzTNnc+be1PNlib7tB3TSlyVNFzLnzp1r1+OJrqVxk16DCW5UOqZTSaMblfU07iOUbiUWKpWKlJQU85ezq7p6UnLKbdYhotrQQHJ2ublbTN++fUlOTpYkKWEzWVlZAGjd1MwfM9gmYy4YOwStm7rJ+D1ZSEgIGRkZ5OXlmSulNf8/rFKpmlRKy8jIkA0PwqGWLVtGXl6euaoZWBJ33s8t5J2TV3g/t5BT13VNEiFiYmLIy8tzSDD+iy++4MK99pnWpg0PpHezRK7bVXXM/O0JfpyZ32YixJIlS8jOzjafYzWKjIwkOzu7zeRDQ4OJH2fmM/N3J7hd1XTl3lurYVoLCRpffvklX3zxRatjdlVaNzWPD/Tn5YhgXp0wjJcjgnl8oL/5swCUqsDh4eGkpKQATRfpzt6ybZvLM/fGk0U60RHWrYMvlBq4U218wCPsq7TayIU7SocKaR3cM1lXBb1e7tg4wIMUW82nsbNqT9C42Nlonx27RLam2tDAPqvuka602Cm6nsbv7e5u8HSEbRa3nonU4O7WdPyeTOICwtW1FBNoTNrJOFXPn4/Vk3GqnovFTRMhHBkTEK7N3Q1Cg9TEjtfwz1M0xI7XEBqkNn8WQNO4gPV39a9u2vY86soNZTyJCQh7CgkJYcuWLebrB7e8zp9/sZK66so2HmVRV13Jn3+xkoNbXjfflpiYKJ/9okN8fX0JvVdF90bB2Va7Djys2ooyc3JFaGgoPj72LxraHbV0nmU06Cn+IptTf97Jsd+9y6k/76T4i+wmiRByniVsITs723IlKMh5E2nJoEHmi03m2YUsWLCAGTNmKFcqKmDv3iYbbO2qvh727FE2DAMzZ85k/vz5jjl2G0pLS/nlL3/JsGHDmD17Nmlpae1KhAAoKioiLS2NWbNmMWzYMH75y19SWlpq5xl3b83j2OzbpyTROJILJ+2IpkpLS1m1apXlhjlzHJvgBcrx5syxXP+f/4GqKtsfx2rMnlDoSzpDCDMfHx82bdpkzkpL+7KSNf7+eLnbPmem2tBAmtVC5ubNm+VLpWhi/PjxpKamAnCt3MgQP3eHHftauWWVY7w9su66sKCgIDIyMnjqqacoKyvjqq6ezcd1vDDKu1OVZL8s0ZP2ZaW5I4Sfnx8ZGRkEudoXVdFllZeXm6uej+3ni5+nbd5T/DzdGdPPl1PXdRQUFFBRUSGfZygbxBqrYZaXl3P58mVqa2vx9PRk+PDh8hwJp2vcoJOfn8/27dvJysqioKAAk1X7QZVKRWhoKNHR0Sxfvtyhbdv3WQVKrL3w7YFNrmddvs38P2Vzq6r10oK+vr5s376dF198sdX7eHt788EHH5h/1/Ly8hbvd/DiLcZu+xu7/zmKZ0ICLfMaNZA/n7/R4u/x7W9/u9XjdiXBfr1YO3kE88cMbvEzpKzWwO6z19h07CKFZTVUV1ezbNkybt26xZtvvkloaCgFBQWcuVVOWa3BJp9DZbUGzt5S/q1kkU50RGPr4HXr1mECMi5XO6RDZGsyL1fT+C4srYN7pqioKPPlogrXTYawnmdPsGDBAj766CPS09Op0JvYm1fJ4nE+aNT2L1xQ32Biz9lKKvXKu4OrLHaKrsk6LvDoADW9PW3zGu7tqWJofzUXixskLmBF4gLClbl6TEC4pkB/FS9MdefpCE2LnyFVtSY+zq0n7YiB2zpTk7hAY0zgqxsNVNWabPIZVFVr4uq95AqJCQh7a3wtv/XWWwCcTEvmwtEMps5/lcgZ8/D08bvvMbUVZeSk7+HI7kR0NwrNt2/YsEE2PItOiY6OpqCgAKNBT076Xia/mNDpMXPS95g350dHR3d6vJ5MzrOEs5w7d85yZeDA1u/oDFbJEPn5+V2yCJBKpWL79u2Eh4dz9+5dKChQEhTmzbNvJfXGRIiLFwF45JFH2L59u1MLqppMJnbt2sWqVasoK2uWlOfhofx7BwUpr8PevZXnp75e2ZB8/ToUFUFxMdQpa7uFhYWsW7eOjRs3kpiYyIIFC6RgbAdZx7HNSTuLFzum2r+LJu2IlqWkpFj+/0ZEOKeLCEBYmHL83FyoqYGTJ+F737PtMYqLrQ7X/Qt9STKEaGLJkiWkpaVx+PBhyutM7DxdQVykL1o3233Q6o0mPsitMG96nj59epuVaEXPNHHiRPPl0zfrmDLYcS1+c29YNhRaz0MoIiIi+OSTT4iNjaWkpITyOhMfnK4gor+Wfxrai0E+7f9oKa6o5+9Xa8xdYkDpCJGZmcm4cePsMHvRU126dMl8eUy/+wPznTG2nx+nruswmUxcunTpvqrrPZ2vr688J8JlueoGnZaSIbRuamaG9geUThbr//YlG49dbHOciRMn8tvf/pZHH320Xcf9wQ9+wIQJE3jppZc4efJki/e5WVlHzO5j/NuUEWx4ahTu9+blrlbd15li3759rF+/vl3HdiW7du1qcn151FDejgnDW9v6OY6fpzsrnwhh0bghvJaZz7bsq4DSHjwwMNC8SKc3NrD77DVWPtH56ne7znxt7l4ii3Sio6xbB+fe1DO2n57RgR1Pcu6o/NtNO0dK6+CeKTAwkKCgIIqKiiguN9JgMqF2gYWfBpOJ4gqlaMLgwYO7XCv7zmq+2Flwx8CesxXMG2PfhAglEaKCi98oHWNcYbFTdG3WcYFH+9u2+E/IACUZQuICLZO4gHBVrhoTEM7XPC4w4wkNS6dr6eXR+nlIb08Vsye5Ex2pYcchPemfK8m069ev58knn6SgoACDET7OrWf2pM4XSPhrTr25e4nEBIQjrF+/nn79+rF69Wqqq6vR3SjkwMbVHNzyOv1HhDMgdAzaXt7oayq5UXCWmxfzmlR+9/LyIjExURIhRKctX76crVu3AnBk9xaiZi/Aw8u7w+PVVVdyZHdik/FF58l5lnC0ykqrjkWuVvnaaj5V9qj67SCDBg3iwIEDREdHU1NTA+fOwc6dMHeufSqqV1c3SYTw8vLiwIEDDHRisktxcTHx8fHKZvtGKhWMHAmTJyt/q9uIOTUW2WlogAsX4Ngx5W+TCZ1Ox6JFi/joo49ITk526u/ZVUnSjmgPo9HItm3blCsqFcTGOndCMTFw+jSYTHDiBDz5ZNvvIw/LKhmiJxT6sn3Jf9GlqVQqUlJSzAu7V3X1pOSUU22wTevWakMDydnlFJYpQcC+ffuSnJwsHwDiPlFRUeaMtKu6eq47qCpkcUW9+fUZHh5OZGSkQ47b1URERJCTk9Mkaz33pp7EE2X85vMyjl6r5esyAwZj002RBqOJr8sMHL1Wy28+LyPxRFmTRIhp06aRk5MjiRDC5urqLElOPm1sZu0Ib62lanFtba1NxxZCOE7jBp1JkyYRERHhtGD8pUuXOHv27H23R4f0xdfDncvfVPGdD/63zUQIlUrFunXr+N///d92J0I0CgkJ4ciRI/z7v/97q+foJuDXRy/ynZ1HuPxNFX6e7kQPC7zvfmfOnOHy5csPdXxnu3z5srnKHcDmmDCSZo5rMxHCmrdWQ9LMcWyKtlSQWL16taV9MLDp2EUq9Z07t63U17P5uGVDnyzSiY5q3jp435eVNvv+317Vhgb2WXWOlNbBPVtjQYI6o4kLpQYnz0ZxvtRA3b3vthMmTHDybJyjcbGzV69eAJwrMbDzdIXd3i+qDQ18kFvBuRLlNeAKi52i67OOC3h52HbsXlZ5hBIXEKJrcpWYgHC+5nGBuGe1vPK8R5uJENZ6eah45XkP4qZbPhysC06kHTFQU2dq6aHtVlNnYt9nlnNliQkIR1m2bBl5eXnExMSYbzMa9BR/kc2pP+/k2O/e5dSfd1L8RXaTRIiYmBjy8vIkEULYRFhYmPk1qLtRyKHENzo13qHEN8zdS2JiYqRLgR3IeZZwBL3e8rnjkCrwD8NqPtaxia5oypQp7N+/3xwjpKAANm1SEiNsKT8f3n67SSLE/v37mTJlim2P8xCOHj1KeHh400SIiAh4/XV4+WUYNar9G5jVauX+L7+sPN6qgER6ejphYWEcPXrUxr9Bz9A8jm1O2qmuts8Bq6vhgw/M/wckju36Dh06xNdff61cGTkS+vRx7oQCApR5ANy9qyRI2UpDgzkZoqcU+pJkCHGfoKAgMjIy8PNTKmdf1dWz+biOL0v0D3hk274s0bP5uM680dzPz4+MjAyCgoI6PWfR/ahUKhISLG0tP71a45Dj/t3qOAkJCZKo04zJZOLUqVP85je/4c033+T69ev4+/s3eZ4Ky+r58/kq3v28nP/42zf87H/v8svP7vKz/73Lm598w7ufl/Pn81Xm9wJQqr++//77HDx4UN4ThF14eFh2OlR0cgNqc5V6o/myp6fjutgIIbqnlrpCAMwZNZC9Z68Rsf0T/nFd1+rj+/Xrx1//+ld+/vOf4+7esUqD7u7u/OIXvyArK4sBAwa0er/Pi+8Ssf0Tfpt3jTmjWg7qtPb7uKqEhASq7wXElkcN5ceThndonDWTR7A8aigA1dXVJCYmmhfpCstqeC0zv1PzfC0zn8Iy5bxVFulEZy1YsMCcsFOhN7E3r5L6hs5tzmkvpfJ7JZV65XjSOlgsXLjQfPlYkWtsKD5+zTKPRYsWOW8iTtZ8sbPgjoFNx3Scu925eGFz+bf1vH1MZ+4I4QqLnaJ7sI4LVNt470GN1X8DiQsIIUTXZh0XmPGEhjnf6VhsZc5Ud2Y8oWx8q6mpoc+9DRa3dSZ2HOrc+dOOQ3pu65TvUBITEI4WEhJCRkYGeXl5rFy5kpEjR963lqpSqRg5ciQrV64kPz+fjIwMQkI63yVViEZJSUl43atCfjItmSO7t3RonCO7t3AyLRlQvnsmJSXZbI5CCMfSaq2qFNQ7ptBqu1nNxzo20VVFR0eTlZXFI488otxQUQEffgi//S3cudO5wUtLlXFSU+Fet49HHnmEzMxMnnnmmc6N3Qmffvop0dHRSrcBAB8fWLQIXnqp8xup+/RRxlm0SBkXuHv3rvl5Fg+vJyftiAdLTU21XJk82XkTsTZpkuXyqVO2G/f8ebiXhNdTCn1JMoRoUUREBJ988ok5I6i8zsQHpyv4bV4FxQ9Zob+4op7f5lXwwekKyu9VO+nbty+ffvqptMcWbZo3bx7+/v6A0nWgswk5D/Jlid7cpcDf35+5c+fa9XhdSUVFBUlJSYwZM4bHH3+cV155hdTUVM6ePYtOp8NkanmzlAkoq2vgm5oGyuoaaL6nKjw8nKSkJL7++muWLFkiySfCboYPt2xmPXurzKZjn7k3nkqlanIcIYToiLS0tBZv/+P568z7U/YDE7o+/fRTvve979lkLk8//TRnzpxp0tWguQp9PXP/mM2fzl9v8eet/T6uKC8vj8zMTACC/XrxdkxYp8Z7OyaMYD8l0JaZmcmrr75qXqTbln2VzW1092jL5mMX2ZZ9FZBFOmEbja2DGxcvCu4Y2HO2wu4JEUoiRIV5w7O0DhYA06dPJzg4GIALpQbuVBsf8Aj7Kq02cuGO8hoNDg5u0h2xJ2q+2FmhN/HhGSVe2Nl/q9JqI7/NqyD1TIU5QcoVFjtF92H9ff2rm7btanLlhjKexAWEEKJrs44LBPqrWGrV3aEjlk7XEuivfL+5c+eOOWEu/fN69h3pWBe0fUcMpH+uxIYkJiCcKSwsjHfffZfz58+j0+nIycnh2LFj5OTkUFZWxvnz53n33XclWUfYRUhICFu2WBIgDm55nT//YiV11ZVtPMqirrqSP/9iJQe3vG6+LTExUZJ2hOjCvL29LVeqqpw3kZZYzad3795OnIjtTJkyhby8vKbrh7m58Otfw/vvwxdfKBXJ26OhQbn/++/Dxo3KOPfMmDGD/Px8p28uX7hwITU19wrrhobC2rVg63Oc0aOVcUNDASWh+rnnnpMOER3UE5N2RPucOHFCueDhYenI4GyPPabMB6Cxa4UtHD9uvthTCn1JMoRoVUREBDk5OU0WenNv6kk8UcZvPi/j6LVavi4zYDA23SBhMJr4uszA0Wu1/ObzMhJPlJk3mANMmzaNnJwcxo0b56hfRXRRPj4+bNq0yXw97ctKqg22XaxsVG1oIO1LS4Bk8+bN0qIRpRPE+++/z5AhQ0hISCA/v2kVY7UK/DzU9Omlxs9DjbqVfUsqlQp/f3/Cw8NZtGgRv/nNbzh16hRnzpxh+fLl8lwLu/P19SX03hfHM7fKKavt2GJTc2W1Bs7eKgcgNDRUXsvCrLy8nJycHI4fP05OTg7l5eXOnpLoAgoLCznVSrb/XwputWuMPjZu5di3b18OHDjAO++807SyTjOtze8f//iHpdWki9u+fbv58trJI/DWdq6VsrdWwxqrzhIHDx5sski3NuscK/5ymsp2diyq1Nez4i+nWZtlqVwii3TCVpq3Dj5XYmDn6Qq7fv/6ILeCcyWWyu/SOlgAuLm5ER8fDyjJ9RmX7dS+up0yL1fTGPVavnw5bm5uTp2PK2hpsTP3pp5fH9Xxfk45X5ToaWilYEJzDSYTX5ToeT+nnI1HdU3ih66y2Cm6D+u4wFc3GqiqtU3SX1Wtiav3kiskLiAaSUxAiK7JOi7wwlR3enl0LlG7l4eqSWeJiRMnmi+nHNLz7p/rqKlr3+dRTZ2Jd/9cR4pVVwmJCQhX4evrS0REBJMmTSIiIkLOh4RDLFu2jJ/+9Kfm6yfTkkn8fgTHfr+V2oqWi6LVVpRx7PdbSfx+hLkjBMCGDRuIi4uz+5yFEPbTJPnuesvFu5ymuNh8MSysc0W4XEnjmsKHH36In5+fcqPJpFQi37kT3noLkpLgf/4HsrOV2y9dUv7OzlZuT0pS7rdzp3L7vZiiv78/qampLrNmYE6ECAuDxYvhXuEzm/PyUsa/93quqalh1qxZXHe113QX0dOSdsSD3b59m6KiIuXKoEGgdpGt82q1Mh8Anc6cZNMppaVw4QLQswp9dW53h+j2goKCOHjwIDt37mTNmjXodDoACsvqKSxTNu2oVeCjVeOmBmMDVOjvr/4OysnK5s2bWbx4sVR6FO22ZMkS0tLSOHz4MOV1JnaeriAu0hetm+1eQ3qjiQ9yLZ1Lpk+fzuLFi202fldVVFREXFwchw8fbnL7UH8N4/p7MNjXjQHeGtyt/i0MRhM3Kuu5Vm4k90ad+X3CZDKh0+mYOHEiGzZsICgoyKG/ixCgZH8XFBSgNzaw++w1Vj7R+YWiXWe+Rm9sMI8verb8/Hy2bdtGVlYWBQUF9/08NDSU6Oholi9f3q2CXcJ2/vjHPzp7Ci1SqVT86Ec/4rvf/S4vvvgiF+59cW6vP/7xj7z66qv2mZwNNbab1bqpmT9msE3GXDB2CGuzzqE3NpCVlcW7777LrVu3eOuttwClQ8ShS7dYM2k4C8YOwc/T/b4xymoN7DrzNZuPX6KwrMZ8uyzSCVtrbB383HPPUVNTQ8EdA5uO6ZgzypvRgZ2riGot/7aefV9Wmiu/S+tg0VxcXBwbN25Ep1M2x4/tp7fpa7C98m837R65dOlSh8/BVTUudu7atYtVq1ZRVlaGCTh/x8D5OwY83FQM8nFjkK+GQb4aerur0KhV1DeYqDKYKC6vV/5UGKlrVmTF39+fd955h/nz50v8UNhcY1zAYISPc+uZPen+c6+H9decegxGy/ii55KYgBBdX2NcwN0Nno6wzRL6M5EadhzSYzDCjRs3+OlPf2qOCaR/Xs8/CozM+Y47z0Rq6O15/7lPVa2Jv+bUs+8zA7d1lvMmiQkIIQSsX7+efv36sXr1aqqrq9HdKOTAxtUc3PI6/UeEMyB0DNpe3uhrKrlRcJabF/MwGixJZV5eXiQmJsr7qRDdQFRUlOVK40ZXV2GVDNFknt2ASqVi4cKFzJgxgx07drBt2zYKCwuVH9bVwZUryp92Cg4OZvny5SxdupSAgAA7zbqDQkNh7lzQ2HmrrUYD8+YpCSIFBdy9e5dly5Zx4MABiZV2QEtxbHPSzvnzSjX+QYMsf3r3Vv4N6uuVri7FxZY/dXVNxpY4dteTnZ1tueJq+xYHDbK8XxYVKd0iOiMz05xg1pMKfUkyhHgglUrFkiVL+P73v8/evXvZunVrk+rwDSYoq2s9Uy48PJyEhATmzp0rlSDEQ1OpVKSkpBAZGUlJSQlXdfWk5JSzeJwPXu6dz9BrrEjauGm/b9++JCcn9/gTldzcXGJjYykpKTHfFtFfy5NDezHQp/WPDnc3FUP83Bni586UwZ4UV9Tz96s15g0khw8fJjIykoyMDCIiIuz+ewhhbfny5WzduhWATccusmjckE5V/a7U17P5+KUm44ue6fLlyyQkJJCZmdnm/QoKCigoKGDr1q3ExMSQlJQk1dtEE/v27Xuo+8+bN489e/bYaTb3GzduHNnZ2axatYr333+/3Y/bt2+fyydDlJeXmzcsje3n22JSQkf4ebozpp8vp67rKCgooKKi4r5FusKyGn50OI+1WecY08+Xsf388Na6Uak3cuZWGWdvlZsT70AW6YR9NbYOnjVrFnfv3qVCb+LDMxVE9NcSO8yLPl4dD5aVVhvJvFzdpPL7I488woEDByQRQjQREBBAYmKiuW3vvi8refQRf5vEANqr2tDAPqvuke+8847rLcA5WeNi53e/+13+67/+i7S0NG7evAlAndHEFV09V3Tt634ELr7YKboN67hA2hED0ZGaTlX9rqkzse8zS+dJiQv0TBITEKJ7sI4LPDpA3WJiQkf09lQxtL+ai8UNFBQU8OqrrzaJCdzWmUj6i54dh/QM7a8mZICaXlqo0cOVGw1cvdlgTroDiQkIIURzy5Yt45lnnmHFihXm8zGjQU/xF9kUf5Hd6uPkfMw2ysvLuXTpEnV1dXh4eDB8+HB8fX2dPS3RAwUGBhIUFKRU/C4uVqq4u0LF74YGczLE4MGD6du3r5MnZB8BAQG88cYbvPbaaxw6dIjU1FROnjzJtWvXHvjYwYMHM2HCBBYtWsS0adNcc8Ouj49jEiEaaTTK8d5+GyorSU9PZ/fu3SxYsMAxx+9melTSjmjTuXPnLFdcoOtME42dIQBu3uxcMkR+vrl7SU8r9CXJEKLdfHx8WL58OfHx8eTk5HDixAlOnTpFTk4Od+7cMX/B6dOnD5GRkYwfP56JEycSGRnZ4zeWi84JCgoiIyODp556irKyMq7q6tl8XMcLo7wZ1bfj1SG/LNGT9mWluSOEn58fGRkZPb5rQU5ODt/73veUjFjA10PV4ed6kI+Gl8J9iOhvea5LSkp46qmn+OSTTyQhQjhUWFgYMTExZGZmUlhWw2uZ+STNHNfh8V7LzDdX6I6JiWnaflP0GMnJyebFy0ZaNzVj+/kypp8fPloNFfp6zt4q44zVhubMzEzCw8Nl8VKYXb9+nWPHjrXrvn5+fiQnJ/PUU085NBkCoHfv3uzYsYPo6GiWLVtGeXn5Ax9z9OhRbty4wYABAxwww465dMmS3Damn59Nxx7bz49T13WYTCYuXbpEREREi4t0emMDp67rOHVd1+pYskgnHKGxdXB8fDzp6ekA5N7Uc/qmnpF93Jk02JPHAtxRt+N7foPJxPlSA8ev1XLhjgHr+u8zZswgOTnZJdpcC9ezYMECPvroI9LT06nQm9ibV8nicT5o1PaPL9U3mNhz1tK9ZObMmcyfP9/ux+1KHlT9XKPRUF//4ESILrHYKboV67jAbZ2JHYf0vPK8R4fH23FIb67SLXGBnqmlmIC7m7KR+tH+arw8oLoOvrrZwFc3LBuaJSYghOuxjgs82t+2G+dCBijJEI1xgZZiAgYjXCxu4GJx68XnJCYghBAtCwkJISMjg/z8fLZv327+rmoyWSJRKpWqSacuOXfvOOmIJlzVxIkTSUtLUzY3X7gAo0Y5e0pK5fl71eQnTJjg5MnYn5ubGzNnzmTmzJkA3L59m5ycHPLz86mqqjLvK+zduzdhYWFERUV1jQSROXPAy8uxx/TyUo6bmgrAqlWrePbZZ2XzfSd0+6Qd8UCVlZYCWPTu7byJtMR6Pnp96/d7kOpqsCrA2dMKfUkyhHhoKpWKqKiobte+S7i2iIgIPvnkE3O3gvI6Ex+cViqU/tPQXgxqo1tBc827FYDSESIzM5Nx48bZYfZdR1FREdOmTTMnQgz119ikC8eovlrW+Puz83QFV3X1lJWVERsbS05OTo9PPhGOlZSURHh4ONXV1WzLvsrwb/VmzeQRDz3O5mMX2ZZ9FVCqcSUlJdl4pqIr2LBhg7mtPUCwXy/WTh7B/DGDW6wqX1ZrYPfZa2w6dpHCshqqq6tZtmwZt27d4s0333Tk1IUL+tOf/tRkcaY1kyZN4re//S1Dhw5t0sHJ0f71X/+VCRMm8IMf/IATJ060eV+TycSf/vQnEhISHDS7h1dn1drUpxNdg1rirbUExGpra82XZZFOuLKWWgebgPN3DJy/Y8DDTcUgHzcG+WoY5Kuht7sKjVpFfYOJKoOJ4vJ65U+FkTpj0/c2aR0s2kOlUrF9+3bCw8O5e/cuBXcM7Dlbwbwx9k2IUBIhKrj4jVLp/ZFHHmH79u3yWr2nvdXPrRMhQkNDmTZtGr179+6ai52i27GOC6R/Xs/APmrmTH34rmD7jhhI/1x5rUtcoGdqHhMI9FfxwlR3no7QtFhRvqrWxMe59aQdMXBbZ5KYgBAuxjou4NXxPLkW9bKqM9UYF5CYgBBC2F5YWBjvvvsuoHQsuHz5MrW1tXh6ejJ8+HB8fHycPMOuTTqiCVe3cOFCJRkC4Ngx10iGOH7cfLGxC25PEhgYyLRp05g2bZqzp9JxERHgrPPwsDDl+Lm56HQ6duzYwRtvvOGcuXQj3TZpRzyQ3jrJwFGdXtrLej5GY+v3a0t9PezZA/eSPnpioS8X+1cVQojWRUREkJOTQ1xcHIcPHwaUCqW5N/UE+2mIGODBYF83BnhrcHezLDgZjCZuVNZzrdxI7o06CsuaViecNm0aKSkpPX5TvslkYunSpeaNlUP9NcRF+qJ1s82mDy93NXGRvqTklHNVV09JSQlxcXEcPHhQNpYIhwkJCWHLli3Ex8cDsDbrHJe+qeLtmDC827H5tVJfz2uZ+eZECIDExEQJ4vVAycnJTTY9LI8a+sDXkZ+nOyufCGHRuCFNXkfr168nMDCQZcuW2XvawoXts8rQb4lKpeI//uM/+M///E80LvLlfOjQofzv//4v//f//l9+8YtftJnMsW/fPpdOhvDwsOx0qNA/uJL1w6jUWwIWnp6e9/1cFumEq2qrdXCd0cQVXT1XdO3//yKtg8XDakzKiY6OpqamhnMlBnaermBuuHenE/ZbUm1oYM/ZSnMihJeXFwcOHJDuJfd0tPp5QUEBRUVFUv1cuIzmcYGUQ3qu32lg6XQtvTweHJ+qqVM6SjQmQoDEBXqi5jGBGU9oHvga6u2pYvYkd6IjNU1eQxITEMI1WMcFquvauGMH1Fjtt2geF5CYgBBC2Ievry8RERHOnka30VJMwM1dy4DQMfQfEY6Hlw911RXcvJjHjYKzGA3Kh590RBOONH36dIKDg5UY9oULcOcO9OnjvAmVlirzQImNd+mEgB7EaL0JWaWC2FjnTQYgJgZOnwaTiW3btvHaa69JVwIb6xZJO6JdtFqrSgXt6GztUNbz6cj/8cZEiIsXgZ5b6Ms1dtEIIUQ7BQUFcfDgQXbu3MmaNWvQ6XQAFJbVm5Mc1Crw0apxU4OxASr0DTS0sDfP39+fzZs3s3jx4h735t+SDz74gIyMDAB8PVQsHudjs0SIRlo3ZdzNx3WU15k4fPgwO3fuZMmSJTY9jhBtaay617hovS37Kocu3WLNpOEsGDuk1Yr+u858zebjlygsqzHfvmHDBgne9UCXL19m9erV5uubY8L48aTh7X68t1ZD0sxxDP9Wb9ZmnQNg9erVPPPMM7KBpocymUx89tlnrf584MCB7Nmzh6eeesqBs2ofd3d3fvazn/H0008zb948rl+/3uL9PvvsM0wmk8uecw0fbvk/fPZWmU3HPnNvPJVK1eQ4LZFFOuGKpHWwcKYpU6awf/9+nnvuOWpqaii4Y2DTMR1zRnkzOlD74AHaKf+2nn1fVlKpV4IHXl5e7N+/nylTptjsGF2ZVD8X3U3zuED65/X8o8DInO+480xk66/rv+bUs+8z5XXdSOICPU/zmEDcs1rmfKf93UV6eah45XkPBvZRk3JI2SQmMQEhnM/6+/pXNxtsOvaVG8p4D4oLSExACCGEK2oeE/AfEMzU+auJnDEXTx+/++5fW1FGTvpejuzegu5GocQEhMO4ubkRHx/PunXrwGSCjAx46SXnTSgzU5kHsHz5comNdxEff/yx5crIkc5NqAEICFDmcf48hYWFHD58mBkzZjh3TkJ0Ud7e3pYrVVXOm0hLrOejfci1r+rqJokQPbnQlyRDCCG6HJVKxZIlS/j+97/P3r172bp1K/n5+eafN5igrK71YHV4eDgJCQnMnTtXqurcU1FRwdq1a83XXxhln0qboHSIeGGUNx+crgBgzZo1fP/735d/C+FQ69evp1+/fuYqJoVlNfzocB5rs84xpp8vY/v54a11o1Jv5MytMs7eKkdvtLyveHl5SRWTHiwhIcFc/WZ51NCHSoSwtmbyCC59U8W27KtUV1ezYsUKc1Ka6Fnq6+tbTRKYPXs277//vstXUX/qqac4c+YMS5Ys4cCBAy3ep76+Hnf39m8SciRfX19CQ0MpKCjgzK1yymoNLSbHPayyWgNnb5UDEBoaKuc7okuT1sHCWaKjo8nKymLWrFncvXuXCr2JD89UENFfS+wwL/p4dXwhsbTaSOblanJvWsr1PvLIIxw4cEASIe6R6ueiu2oeF7itM5H0Fz07DukZ2l9NyAA1vbRKNe8rNxq4etPS8QQkLtCTWccEZjyheahECGtzprpz/U4D6Z/XS0xACBdgHRf46kYDVbWmFpPjHlZVrYmr95IrJC4ghBCiq2keE5jwwjKmv/orPLy8W32Mp48fk19MIGr2Ag4lvsHJtGRAYgLCMeLi4ti4caNSVDU3F8aOhdGjHT+R/Hzl+ChFWpcuXer4OYgO+cMf/mC5Mnmy8yZibdIkOH8egA8//FCSIYTooNHWnwfXr0NUlPMm01xxseVy//7tf1x+PuzbB5WVgBT6kmQIIUSX5ePjw/Lly4mPjycnJ4cTJ05w6tQpcnJyuHPnjnkzTp8+fYiMjGT8+PFMnDiRyMhIl61K7Cx79uwxd9mI6K9lVF/bVdhsyai+WiL6a8m9qUen07F3716WL19u12MK0dyyZct45plnWLFiBZmZmQDojQ2cuq7j1HVdq4+LiYkhKSlJqvX1UHl5eebXS7BfL96OCevUeG/HhHHo0i0Ky2rIzMwkPz+fsLDOjSm6Hnd3d15++WWSkpLMt3l4eLB582YSEhK6zHlLQEAA+/fvZ+vWraxdu5a6ujrzz5YuXeqyiRCNoqOjKSgoQG9sYPfZa6x8ovPv87vOfG1OpouOju70eEK4EmkdLBxpypQp5OXlER8fT3p6OgC5N/WcvqlnZB93Jg325LEAd9Tt+MxsMJk4X2rg+LVaLtwxYN1IcsaMGSQnJ/fIijktkernortrKS5gMMLF4gYuFrdeaEXiAj2XdUwg0F/F0umdi6Euna7lHwVGbutMEhMQwgU0xgUMRvg4t57Zkzofx/hrTr05mU7iAkIIIbqS5jGBZ3+8kanzXm334z28vHl+3W/oM3gYB7e8DkhMQNhfQEAAiYmJLFq0SLlh3z549FHw8nLcJKqrlePe884777h8wTNhkZ2drVzw8FA6MriCxx5T5lNXx8mTJ509GyG6rCjr5IeiIudNpCXWyRBBQQ++f2mp0oHoXuIdSKEvAPuU/RZCCAdSqVRERUXxwx/+kJ07d3LmzBmKioooKSmhqKiIM2fOsHPnTn74wx8SFRXVZTYUOorJZOK9994zX39yaC+HHPefrI7z3nvvYTKZ2ri3EPYREhJCRkYGeXl5rFy5kpEjR973HqFSqRg5ciQrV64kPz+fjIwMCdL1YNu3bzdfXjt5BN7azuUWe2s1rLHqLGE9vuhZ/vu//5tf/epXxMbGsnTpUnJycvjhD3/Y5c5bVCoVK1euJCcnh6VLlxIbG8uvfvUr3nnnHWdP7YGsEzM3HbtIpb6+U+NV6uvZfPxSi+MLIYR4eIMGDeLAgQN8+OGH+Pn5AWACzt8xsPN0BW99cpekf5TxPxeqyL5Rx/lSPZe+MXC+VE/2jTr+50IVSf8o461P7rLzdAXnrRIh/P39SU1N7bGtg1tjy+rnM55Qzpsbq58L4SokLiAehvV39hemurfZJac9enmomry3SkxACOey/t6edsRATV3n1ixq6kzs+8zQ4vhCCCGEq7OOCUx4YdlDJUJYmzp/NRNeULpBSExAOMKCBQsslfMrKmDvXqjv3HpPu9XXw5495grdM2fOZP78+Y45tui027dvc/36deXKoEGgdpFttWq1Mh/g2rVrlJSUOHlCQnRNgYGBBDUmGhQXQ0PrxXAcqqHBkgzh7w/erXTgamiAL76A99+HjRubJELMmDGD/Pz8Hp0IAdIZQggherzs7Gzy8/MBGOqvYaCPYz4aBvloCPbTUFhWT15eHjk5OU2zMIVwoLCwMN59910AysvLuXz5MrW1tXh6ejJ8+HBpXy7MsrKyANC6qZk/ZrBNxlwwdghrs86hNzaYxxc9j0aj4fXXX+f111939lRs4tvf/jYpKSnOnsZDCQsLIyYmhszMTArLangtM5+kmeM6PN5rmfkUltUASvXg0c5oxSyEEN2MSqVi4cKFzJgxgx07drBt2zYKCwsBqDOauKKr54qu/YubwcHBLF++nKVLl0qFtmak+rnoaSQuINqj8Tu7uxs8HWGbGOozkRp2HNJjMCIxASGczDoucFtnYschPa8879Hh8XYc0nNbpyRUSFxACCFEV2IdE/AfEMz0V3/VqfGmv/orLhzNQHejUGICwu5UKhXbt28nPDycu3fvQkGBkqAwbx5o7LgXpjER4uJFQKnQvX379i5X9KwnM3eFgPZVZnekQYPgyhVAmad07BaiYyZOnEhaWhrU1cGFCzBqlLOnBOfPK/MB8PFRrms0yudKVZWSKNH4p/F+9/j7+/POO+8wf/58+bxBOkMIIUSPd+LECfPlcf07HtjviIgBluNZz0MIZ/L19SUiIoJJkyYREREhGx6EWXl5OQUFBQCM7eeLn2fHKuM25+fpzph+vgAUFBRQUVFhk3GFEA8vKSkJr3vtkrdlX2XzsYsdGmfzsYtsy74KgJeXF0lJSbaaohBCCJSW92+88QaXL1/mwIEDvPDCCwwe3L5E1cGDB/PCCy/wl7/8hcuXL/PGG29IIkQLpPq56MkkLiBaYh0TeHSAmt6etllg7O2pYmh/ZalOYgJCOJ91XCD983r2HTE84BEt23fEQPrnSpKuxAWEEEJ0Ndbf2afOX42HVysVitvJw8ubqfNfbXF8IeyhscNsr169lBvOnYOdO+FetxObq66GDz5QjoNy/icdaLuec/f+/QBwtX+7e50hAHOxW1d3+/ZtDh06xKZNm9i4ceN9P5cOF8IZFi5caLly7JjzJmLt+HHL5WvXlM4P27crf//+93DkiJIMZZUIERwczC9/+UsuXrzIggULJBHiHukMIYQQPdypU6fMlwf7ujn02NbHs56HEEK4okuXLpkvj+nnZ9Oxx/bz49R1HSaTiUuXLhEREWHT8YUQ7RMSEsJPf/pT1q5dC8DarHNc+qaKt2PC8NY++Otzpb6e1zLzzYkQAImJiYSEhNhrykII0aO5ubkxc+ZMZs6cCSgLLDk5OeTn51NVVUVdXR0eHh707t2bsLAwoqKi6Nu3r5Nn3TVI9XMhhGjKOibwaH/b1hkLGaDmYnGDxASEcAHN4wIph/Rcv9PA0unadiWH1tQpHSUaEyFA4gJCCCG6nsbv7G7uWiJnzLXJmJEz5nFwy+sYDXqJCQiHmDJlCvv37+e5556jpqZG6RCxaRPMmQO27NiVnw/79kFlJaAkQuzfv58pU6bY7hjCISrv/RsC0Lu38ybSEqv5VFVVOXEirTMajRw8eJBdu3Zx4sQJioqK2rz/6NGjCQoKYuLEiSxcuJDp06fj5ubYPWui55k+fTrBwcFKx/ELF+DOHejTx3kTKi1V5tEOgwcPZsKECSxatIhp06bJ/5cWSDKEEEL0cLm5uQCoVTDA27EfCwO8NahV0GCCnJwchx5bCCEeVp1VprVPOzZFPwxvreWLSm1trU3HFkI8nAULFpg3PYDSIeLQpVusmTScBWOHtNgVpqzWwK4zX7P5+CUKy2rMt2/YsIG4uDiHzFsIIQQEBgYybdo0aRPeSfaufn6xuMFc/Vwq7gshugrrmICXjZvr9tJaLktMQAjnax4XSP+8nn8UGJnzHXeeidS0eG5UVWvirzn17PvMwG2dyXy7xAWEEEJ0NdYxgQGhY/D0sU1xME8fP/qPCKf4i2yJCQiHiY6OJisri1mzZnH37l2oqIAPP4SICIiN7dwG2NJSyMyEe/ttAB555BEOHDggiRBdlF6vt1zRuNiWWqv5WMcnXEFpaSkpKSls375d2WD+EIqKikhLSyMtLY3g4GDi4+OJi4uTTs7Cbtzc3IiPj2fdunVgMkFGBrz0kvMmlJmpzANYvHgx3/72t6XQVye42Du3EEIIRystLQXAR6vG3c2xbZPc3VT4aNWU1TVw584dhx5bCCEeloeHZbdDhb6+jXs+vEq90XzZ09PTpmMLITqvsKyGHx3OY23WOcb082VsPz+8tW5U6o2cuVXG2Vvl6I0N5vt7eXmRmJgoGx6EEEJ0SVL9XAgh7mcdE6i28b6DGqv9FhITEMI13daZSPqLnh2H9AztryZkgJpeWuX/75UbDVy92YDBEt6TuIAQQoguyzom0H9EuE3HHhA6huIvsiUmIBxqypQp5OXlER8fT3p6unJjbi6cPg0jR8KkSfDYY6BuRwysoQHOn4fjx5VK3iZLEuyMGTNITk5m4MCB9vlFhN1ptVaVCuptuxeg06zmYx2fcCaTycSuXbtYtWoVZWVlTX/o4QGDBkFQEAwcqHS20GiU36OqCq5fh6IiKC6Ge8kdhYWFrFu3jo0bN5KYmMiCBQtQqRy7h030DHFxcWzcuBGdTqd8Howda9uOQe2Vn29OqPP392fjxo2SCNRJkgwhhBA9XGN2s8a2+xvaze3ecV0te1kIIZobPny4+fLZW2Vt3PPhnbk3nkqlanIcIYRr0RsbOHVdx6nrulbvExMTQ1JSEiEhIY6bmBBCCGFDUv1cCCHuZ/1d/aubDW3c8+FduaGMJzEBIVyfwQgXixu4WNz6+4DEBYQQQnRl1jEBDy/bdm7Q9vI2X5aYgHCkQYMGceDAgaYbt00mJbHh/HnLxu3GP803bhcXW/4029fi7+/PO++8w/z582Xjdhfn7W15j6KqynkTaYnVfHr37u3EiSiKi4ubJhgBqFRKgtHkycrfbSUYRUUpfzc0KIlFx46ZE4x0Oh2LFi3io48+kgQjYRcBAQEkJiayaNEi5YZ9++DRR8HLy3GTqK5WjnvPO++8I4kQNiDJEF1YYzV30XEtPYfyvNqGPLf2YY/nVXOvnVq9bdfw2q2xiLK7uzslJSVOmYO8Xu1Hnlv7kOfVPtrzvA4bNozLly9z5lY5ZbUG/DzdO33csloDZ2+Vm8evra3tdkFgec3ahzyv9tHSc/j3v/+djz76iKysLAoKCjBZVftRqVSEhoYSHR3N8uXLGe2MyhGix5L/850n76X2Ic+r/Tjiua2urrZctmP185qaGqfFAZqT16z9yHNrH/K82seDntfGmMBXNxqoqjXR27PzG12qak1cvZdc0V1jAiCvWXuR59U+JC4guhL5P9958l5qH/K82o+9n1vrmEBddYXNxgXQ11SaL7tSTADkNWsvrva8Pvvss0yYMIG9e/eSmprKtWvXlB/U1cGVK8qfdho8eDALFy5k7ty59OnTx+G/l6s9t91BUFCQ5cr165YN+66guNh8cfDgwU59/zx58iTz589Xquo3ioiA2Fjo0+fhBlOrYdQo5c+dO5CRYa6Un56ezujRo9m9ezcTJkyw3S/Qzch7QcdMnz6d6OhosrKyoKIC9u6FxYuVRDh7q6+HPXugUjkvmjlzJvPnz7f/cXsAlck6WiNcVklJCYGBgc6ehhCiG1Or4GdPfQt3N8dlqxuMJt785Bsa5JNICNEFvTt9DCuf6HyFt3dPXuZHh/NsMCMhhL3cvn2bvn37AlBeXs7ly5epra3F09OT4cOH4+Nj2wpZQrRE4gJCCGcIDVLz3wm9bDbeK1tr2qykLIQQXUXCLC2zJ3W+QML+YwaS/qJ/8B2FEE4lcQHhCiQuIIRwtKDR4/nh7mM2G+838yZR/EW2zcYTQgi7CQmBFSucPQuLpKSHStZxGB8fmDMHbJkQfu6cUjG/wrYJeUI80OjRMG+efRMiGhMhzp0D4JFHHiE/P186oNiIdIYQQggBQIMJblTWM8Sv84t47XWjsl4SIYQQXdamYxdZNG4I3tqOn1JX6uvZfPySDWclhLA3X19fIiIinD0NIYQQwiHsVf1cCCG6urQjBqIjNfTy6Pj7Y02diX2fGWw4KyGEI0hcQAghRE9xo+AstRVlePr4dXqs2ooybl6UwmBCiC6iuBgaGpTOBc7W0NCkM4TLCA2FuXPBy8u2444eDY8+qlTqLyiw7dhCtOXcOdi50z6va4DqaiUR4uJFALy8vDhw4IAkQtiQC7xjCyGEcBXXyo3d+nhCCGFLhWU1vJaZ36kxXsvMp7CsxkYzEkIIIYQQwrYMRvg4t94mY/01px6DhAGEEN3EbZ2JHYc619FhxyE9t3VSKUYIIYQQQrgmo0FPTvpem4yVk74Ho0E6ogkhuoi6OrhwwdmzUJw/r8zHlYSFweLF9tkwDsq4ixfbtuOEEO1RUACbNpk7N9hMfj68/XaTRIj9+/czZcoU2x6nh5NkCCGEEGanbzr2BDr3houdsAshxEPaln2Vzccuduixm49dZFv2VdtOSAghhBBCCBtLO2Kgpq5zm3Wl+rkQojtK/7yefUc69t6274iB9M9tk2wmhBBCCCGEvRzZvYW66spOjVFXXcmR3Ym2mZAQQjjKsWPOnoHi+HFnz6Cpxo4QGo19j6PRwLx5yvGEcKSKCvjwQ/jtb+HOnc6NVVqqjJOaCpXK+dQjjzxCZmYmzzzzTOfnKpqw87uSsKcvvviCgIAAZ0+jSystLeXb3/52k9vkebUNeW7twx7Pq8lk4sknn+TLL7/kqq6e6xX1DPSx/8dDcUU9hWXKgt+oUaP49NNPUak63la+M+T1aj/y3NqHPK/28TDP665du1i7di0Aa7POcembKt6OCcNb++D3z0p9Pa9l5jdJhNi8eTPz58/v3C/gZF999RWvv/46n376absf8+STT7Jx40aGDh1qt3l1Z/JeYB8tPa9CuCr5P9958l5qH/K82o8jn9v/83/+D59++qm5+vkrz3t0eCzr6udPPvkk/+///T9bTdMm5DVrP/Lc2oc8r/bR3ufVOiaQckjP9TsNLJ2upZfHg2ObNXXKe6p1IkR3iAmAxAWcQd4L7EPiAqIrkf/znSfvpfYhz6v9OOq5bYwJ6G4UcijxDZ5f95sOj3Uo8Q10NwoB14wJgLxm7UWeV/t5mOe2pKSEs2fPcv78eaqqqjAYDLi7u9O7d28ee+wxxowZQ9++fR01dZd269YtwsPDlSsXLigbofv0cd6ESkvNHSoGDx7M559/jpubm0On8Pvf/54f/ehHyhUfH8ckQjTSaJTjvf22eSP5u+++y7/+67865vhdgLzP2s6NGzdYu3YtWVlZyg25uXD6NIwcCZMmwWOPgbodvQcaGpSOLsePK/9/TZZCUzNmzCA5OZmBAwfa55fo4SQZogsLCAiQkxE7kOfVfuS5tQ9bPK+vvPIKCQkJAHx6tYaXwn1sMbU2/f1qjfnyj370IwIDA+1+zIchr1f7kefWPuR5tY/Wntc1a9ZQXV3NW2+9BSgdIg5dusWaScNZMHYIfp7u9z2mrNbArjNfs/n4JQrLLO+BGzZs4Mc//rH9fgkHSE5OZvXq1VRXV5tv07qpGdvPlzH9/PDRaqjQ13P2VhlnbpWjNzYA8Omnn/Lkk0+SmJhIXFycs6bfrch7gRA9i/yftw95Xu1Dnlf7sddz+/777xMeHk51dTXpn9czsI+aOVPvP899EOvq515eXrz//vtd4rUgr1n7kefWPuR5tY+WntfmMYH0z+v5R4GROd9x55lIDb0970+KqKo18decevZ9ZjAnh0H3iAlAy3EBdzd4dICaR/ur8fKA6jr46mYDX91owGBU7iNxAduT9wIhehb5P28f8rzahzyv9mOP59Y6JnAyLZk+g4cxdf7qhx7nyO4tnExLBrpWTADkNWsv8rzaT+NzazQaOXjwILt27eLEiRMUFRU98LFBQUFMnDiRhQsXMn36dIdvuHdJJhNkZMBLLzlvDpmZ5o3UCQkJ9O/f36GHLy0tZf369ZYb5swBLy+HzgEvL+W4qakArF+/nhdffFE2+7dB3mc7pm/fvmRkZLBr1y5+9KMfUV5ervz/O39e+ePhAYMGWf707q0k7NTXQ1UVFBdb/tTVNRnb39+fd955h/nz5zutUHRPIMkQQgghmDdvHuvWrUOn05F7U09Efz2j+mrtdrwvS/Tk3tQDygf+3Llz7XYsIYSwl/Xr19OvXz/zYn9hWQ0/OpzH2qxzjOnny9h+fnhr3ajUGzlzq4yzVkkAoAR9u8Ni/4YNG8wbQACC/XqxdvII5o8Z3GpSyO6z19h07CKFZTVUV1ezbNkybt26xZtvvunIqQshhBBCiDaEhISwZcsW4uPjAdtUP09MTCQkJMRucxZCCEdpHhO4rTOR9Bc9Ow7pGdpfTcgANb20UKOHKzcauHrTkgAA3ScmAPfHBQL9Vbww1Z2nI1pPDPk4t560I0piiMQFhBBCCCFcT/OYwMEtr3Pn2mWmv/orPLy8H/j4uupKDiW+YU6EAIkJCGFvd+7cYceOHWzfvp3CwsKHemxRURFpaWmkpaURHBxMfHw8cXFxsuE8NxfGjoXRox1/7Px85fgo+6qWLl3q8CmkpKRQVlamXImIcM7zABAWphw/NxedTseOHTt44403nDMX0a2pVCoWLlzIhAkTGDVqVNMf1tXBlSvKn3YKDg5m+fLlLF26VN5PHUCSIYQQQuDj48OmTZvMJ89pX1ayxt8fL/d2tHd6SNWGBtK+rDRf37x5Mz4+9u9EIYQQ9rBs2TKeeeYZVqxYQWZmJgB6YwOnrus4dV3X6uNiYmJISkrq8kHf5OTkJhselkcN5e2YMLy1rX/N8PN0Z+UTISwaN4TXMvPZln0VUDaSBAYGsmzZMntPWwghhBBCtFPj5lRbVT/vDpt+hRCiUUsxAYMRLhY3cLG4odXHdZeYANwfF5jxhOaBSXO9PVXMnuROdKSmSdKcxAWEEEIIIVxL85jAybRkLhzNYOr8V4mcMQ9PH7/7HlNbUUZO+h6O7E5Ed8OyGVtiAkLY34QJE5RK5tYaK5kHBcHAgfdXMr9+HYqKmlQyLywsZN26dWzcuJHExEQWLFjQsyuZ79sHjz7q2I4I1dXKce955513HL6R2mg0sm3bNuWKSgWxsQ49/n1iYuD0aTCZ2LZtG6+99pp0MBF206dPn/tuGzRoEMXFxQ987ODBg5kwYQKLFi1i2rRp8jp1IEmGEEIIAcCSJUtIS0vj8OHDlNeZ2Hm6grhIX7RutvtSozea+CC3gvI6ZTPE9OnTWbx4sc3GF0IIZwgJCSEjI4P8/Hy2b99OVlYWBQUFmEyWjV8qlYrQ0FCio6NZvnw5o51VNcGGLl++zOrVlpbIm2PC+PGk4e1+vLdWQ9LMcQz/Vm/WZp0DYPXq1TzzzDPdYkOIEEIIIUR3IdXPhRCidT01JgD3xwXintUy5zv3d4hsTS8PFa8878HAPmpSDildhCUuIIQQQgjhWprHBHQ3CjmwcTUHt7xO/xHhDAgdg7aXN/qaSm4UnOXmxTyMBr358RITEMJxzIkQKhWMHAmTJyt/q9soghoVpfzd0AAXLsCxY8rfJhM6nY5Fixbx0UcfkZyczMCBA+3/S7iiigrYuxcWL1YSSeytvh727IFKpcjszJkzmT9/vv2P28yhQ4f4+uuvlSsjR0ILm8MdKiBAmcf58xQWFnL48GFmzJjh3DmJHiU3NxeTyUROTg75+flUVVVRV1eHh4cHvXv3JiwsjKioKPr27evsqfZYkgwhhBACUBblUlJSiIyMpKSkhKu6elJyylk8zscmHSKqDQ18kFtBYZlS6atv374kJyf37AxyIUS3EhYWxrvvvgsowabLly9TW1uLp6cnw4cP73ZdcBISEqiurgaUjhAPkwhhbc3kEVz6popt2Veprq5mxYoVZGRk2HKqQgghhBCik6T6uRBCtK2nxQSgaVxgxhOah0qEsDZnqjvX7zSQ/nm9xAWEEEIIIVxQSzEBo0FP8RfZFH+R3erjJCYghBNERCgV/B9247paDaNGKX/u3IGMDMjNBSA9PZ2wsDAOHDjAlClT7DDpLqCgQElQmDfPvgkRjYkQFy8C8Mgjj7B9+3an7KtKTU21XJk82eHHb9GkSXD+PAAffvihJEMIhwsMDGTatGlMmzbN2VMRLej87lYhhBDdRlBQEBkZGfj5KS0tr+rq2Xxcx5cl+gc8sm1flujZfFxnToTw8/MjIyODoKCgTs9ZCCFcka+vLxEREUyaNImIiIhut+khLy/PHPAO9uvF2zFhnRrv7Zgwgv16AZCZmUl+fn6n5yiEEEIIIWyrsfp5Xl4eK1euZOTIkfctxKlUKkaOHMnKlSvJz88nIyNDNj0IIXqc7h4TgKZxgUB/FUunazs13tLpWgL9lc8UiQsIIYQQQrgeiQkI4Vo+/fTTpjf4+MCiRfDSS52v4N+njzLOokXKuMDdu3eJjo4mKyurc2N3Qb16KWvYnDsHO3fCvaIANlddDR98oBwHpbPOgQMHnNaR48SJE8oFDw+lI4MreOwxZT7AyZMnnTwZIYSrkc4QQgghmoiIiOCTTz4hNjaWkpISyutMfHC6goj+Wv5paC8G+bT/o6O4op6/X60h96YlmaJv375kZmYybtw4O8xeCCGEI2zfvt18ee3kEXhrO/e1wlurYc2k4fzocJ55/MaKmkIIIYQQwrX0xOrnQgghmrKOC7ww1Z1eHp2rUtnLQ8Wc77iT9Be9eXyJCwghhBBCuB6JCQjhfJ999hkLFy603BAaCnPngpeXbQ80ejQ8+ijs3QsFBdTU1PDcc8+RlZXVozpEpKamsnDhQmpqapQOEZs2wZw5yvNjK/n5sG8fVFYCSiLE/v37nfY83759m6KiIuXKoEFK5xBXoFYr87lyhWvXrlFSUkLfvn2dPSshhIuQZAghhBD3iYiIICcnh7i4OA4fPgxA7k09uTf1BPtpiBjgwWBfNwZ4a3B3syx0GYwmblTWc63cSO6NOnMniEbTpk0jJSVFOkII4QTl5eVcunSJuro6PDw8GD58OL6+vs6eluiiGqt+aN3UzB8z2CZjLhg7hLVZ59AbG3pkVREhhBBCiK6osfq5EML1SVxA2FLj93Z3N3g6wjZLjc9EathxSI/BiMQFhBBCCCG6AIkJCOF4xcXFzJ49W9mYDxAWpiRCaOy0BdTLCxYvhj174Nw5ampqmDVrFvn5+U7rWOBoTz75JFlZWcyaNYu7d+9CRQV8+CFEREBsbOc6cZSWQmYm5Oaab3rkkUc4cOCAUxNOsrOzLVdcbX/XvWQIUOY5bdo0J09ICOEqJBlCCCFEi4KCgjh48CA7d+5kzZo16HQ6AArL6s1JDmoV+GjVuKnB2AAV+gYaTPeP5e/vz+bNm1m8ePF97TKFEPaTn5/Ptm3byMrKoqCg4L6fh4aGEh0dzfLlywkLC3PCDEVXVF5ebn49je3ni5+nu03G9fN0Z0w/X05d11FQUEBFRYVUEBJCCCGEEEKITpC4gLAH67jAowPU9Pa0Tby3t6eKof3VXCxukLiAEEIIIYQQQjRjMpmIj49XNuSDpSOEvRIhGmk0MG8e7NwJBQXcvXuXZcuWceDAgR6z/2fKlCnk5eURHx9Penq6cmNuLpw+DSNHwqRJ8Nhj7eug0NAA58/D8eNw4QKYLJusZsyYQXJystMTTc6dO2e54mpJL4MGmS/m5+dLMoQQwkySIYQQQrRKpVKxZMkSvv/977N37162bt1Kfn6++ecNJiira2j18eHh4SQkJDB37lxZuBLCgS5fvkxCQgKZmZlt3q+goICCggK2bt1KTEwMSUlJhISEOGiWoqu6dOmS+fKYfn42HXtsPz9OXddhMpm4dOmSVBQSQggXcvv2bbKzszl37hyVlZXo9Xq0Wi3e3t6MHj2aqKgoAgMDnT1NIYQQQiBxAWFf1nGBR/u3Y6PHQwgZoCRDSFxACCGEEEIIIZratWuXZSO+j49jEiEaaTTK8d5+GyorSU9PZ/fu3SxYsMAxx3cBgwYN4sCBA+zatYtVq1ZRVlamJDKcP6/88fBQNuo3/undW3ne6uuhqgqKiy1/6uqajO3v788777zD/PnzXSLBpLKy0nKld2/nTaQlVvOpqqpy4kSEEK5GkiGEEEI8kI+PD8uXLyc+Pp6cnBxOnDjBqVOnyMnJ4c6dO9TV1eHh4UGfPn2IjIxk/PjxTJw4kcjISJc4UReiJ0lOTmb16tVUV1ebb9O6qRnbz5cx/fzw0Wqo0Ndz9lYZZ26VozcqCU2ZmZmEh4eTmJhIXFycs6YvuoA6q+CMj9a2Xye8tW7my7W1tTYdWwghxMMxGo0cPHiQXbt2ceLECYqKih74mKCgICZOnMjChQuZPn06bm5uD3yMEEIIIWyrpbiAu5tSwf/R/mq8PKC6Dr662cBXNxowGJX7SFxAtJd1XMDLw7Zj99JaLktcQAghhBBCCCEUpaWlrFq1ynLDnDng5eXYSXh5KcdNTQVg1apVPPvsswQEBDh2Hk6kUqlYuHAhM2bMYMeOHWzbto3CwkLlh3V1cOWK8qedgoODWb58OUuXLnWp51Gv11uuOCrhpr2s5lPXLKlECNGzudi7lRBCCFemUqmIiooiKirK2VMRQrRgw4YNvPXWW+brwX69WDt5BPPHDMbP0/2++5fVGth99hqbjl2ksKyG6upqli1bxq1bt3jzzTcdOXXRhXh4WHY6VOjrbTp2pd5ovuzp6WnTsYUQQrRPaWkpKSkpbN++3RLEb6eioiLS0tJIS0sjODiY+Ph44uLiXCqIL4QQQnRnzeMCgf4qXpjqztMRGnp73l+wpKrWxMe59aQdMXBbZ5K4gGgX67hAtY33HdRY7beQuIAQQgghhBBCKFJSUpROBAARETB6tHMmEhamHD83F51Ox44dO3jjjTecMxcnCggI4I033uC1117j0KFDpKamcvLkSa5du/bAxw4ePJgJEyawaNEipk2b5pJFpbRaq0oF9bbdD9BpVvOxjk8IIYQkQwghhBBCdAO7du1qsuFhedRQ3o4Jw7uNyv1+nu6sfCKEReOG8FpmPtuyrwKwfv16AgMDWbZsmb2nLbqg4cOHmy+fvVVm07HP3BtPpVI1OY4QQgj7M5lMTds7W/FwUzHI140gHw0DfTX0dlehUauobzBRZTBxvbyeoop6isuN1BlNABQWFrJu3To2btxIYmIiCxYskK5xQgghhB01jwvMeELD0ulaenm0/vnb21PF7EnuREdq2HFIT/rnyoKyxAVEW6y/r391s8GmY1+5oYwncQEhhBBCCCGEUBiNRrZt26ZcUakgNta5E4qJgdOnwWRi27ZtvPbaay65od8R3NzcmDlzJjNnzgTg9u3b5OTkkJ+fT1VVFXV1dXh4eNC7d2/CwsKIioqib9++Tp71g3l7e1uuVFU5byItsZpP7969nTgRIYSrkWQI0SaTyUR2djYnTpzg1KlT5ObmUlpail6vR6vVEhAQQEREBOPHj2fixIlERUXJ5gYhhBDCCaw3PGyOCePHk9q/YOyt1ZA0cxzDv9WbtVnnAFi9ejXPPPMMISEhNp+r6Np8fX0JDQ2loKCAM7fKKas1tNh55GGV1Ro4e6scgNDQUHx8fDo9phBCiPYpLi4mPj6e9PR0820qYGSAO5ODPBkZ4I66je/6UQOU6jsNJhMXSg0cK6rlQqkBE6DT6Vi0aBEfffQRycnJDBw40M6/jRBCCNEzWccF4p7VMuc77f+e1stDxSvPezCwj5qUQ0ppfokLiNZYxwW+utFAVa2pxc4jD6uq1sTVe8kVEhcQQgghhBBCCMWhQ4f4+uuvlSsjR0KfPs6dUECAMo/z5yksLOTw4cPMmDHDuXNyEYGBgUybNo1p06Y5eyqdMtq688j16xAV5bzJNFdcbL4YFhbmxIkIIVyN2tkTEK6poqKCpKQkxowZw+OPP84rr7xCamoqZ8+e5fr165SWlnL9+nXOnj1Lamoqr7zyCo8//jhjxowhKSmJiooKZ/8KQgghRI9SXV0NKB0hHiYRwtqaySNYHjXUPN6KFStsNT3RzURHRwOgNzaw++yD2322x64zX6M3NjQZXwghhP0dPXqU8PDwJokQEf21vD7Fn5cjfBnVV9tmIoQ1tUrFqL5aXo7w5fUp/kT0t7RSTk9PJywsjKNHj9r8dxBCCCGEJS4w4wnNQyVCWJsz1Z0ZT2jM40lcQLSm8Xu7wQgf59bbZMy/5tRjMDYdXwghhBBCCCF6utTUVMuVyZOdNxFrkyaZL3744YfOm4ewiyjr5IeiIudNpCVWyRBRrpSkIYRwOkmGEE2YTCbef/99hgwZQkJCAvn5+U1+rlaBn4eaPr3U+HmoUTfbD5Gfn09CQgJDhgzh/fffx2QyOXD2QgghRM8W7NeLt2M6l/3+dkwYwX69AMjMzLzvXEAIgOXLl5svbzp2kUp95zY+VOrr2Xz8UovjCyGEsJ+srCyio6O5e/cuAD5aFYvG+vBSuA99vDrX1rqPlxsvhfuwaKwPPloleHD37l2io6PJysrq9NyFEEIIcb9AfxVLp2sffMc2LJ2uJdBf+eyWuIBojfX39rQjBmrqOrcWVFNnYt9nhhbHF0IIIYQQQoie7MSJE8oFDw+lI4MreOwxZT7AyZMnnTwZYWuBgYEEBQUpV4qLoaHBuRNq1NBgToYYPHgwffv2dfKEhBCuRJIhhFlRURHPPvssS5cuRafTmW8f6q/h+cd688oTvvzsqW/x5ncf4Y3vPMKb332Enz31LV55wpfnH+tNsJ/G/BidTsfSpUt59tlnKXK1DEEhhBCim1o7eQTeWs2D79gGb62GNVadJbZv397ZaYluKCwsjJiYGAAKy2p4LbNzm2Ney8ynsKwGgJiYmKatN4UQQtjFZ5999v/Zu/OwqM40ffx3LVRBsRQo4gIEQwzEtlCxTNwmmaQji3HrbtNXp+OatIgydhtbnMn4i+mZJNPpScw3OkYRNBrUdGc60BMbUYGkkx7jOgJRyiTiElFwAZQqloIqavn9caCqEFSQ2oD7c11e1Dl1zvs+HNnqqfO8D+bOnYvmZuHnb8xgH6RPDcaYsN7dQHmnMWEypE8NRsxgYYXq5uZmzJ07lx0iiIiIXOD5J33gJ+9eR6e78ZOLOnSWYF6AuuKYF6jWWrHjoLFX4+04aES1ViioYF6AiIiIiIhIUF1dbb/vLjwcEHvJrZ5isRAPgKtXr6KmpsbDAZGzTZ48WXhgMADnznk2mHbffy/EA2DSpEkeDoaIvI2X/IYkTystLcWECRNw6NAh2774YTKsnqzEPz2uxLRIXzyk9IGPpOMbKT4SER5S+mBapC9WPqHEK5OViB9mv3Hi0KFDmDBhAkpLS932uRAREQ1EMokYC8dGOmWsReMegkwi/JnIlZvpbjIyMqBQKAAA24ov472j5x9onPeOnse24ssAAIVCgYyMDGeFSEREd1FVVYU5c+bYCiFUYTK8ND4QCh/XpIkUPmK8ND4QY4bYCyJmz56Na9euuWQ+IiKigchHAjwb37sFEtpNnyCFT1uTKOYF6G4c8wL5J03IPdx6nzO6lnu4FfknhY6TzAsQEXm/+vp6lJSU4NixYygpKUF9fb2nQyIiIuq3iouL7RvtK/V7i7ZiCOCOOKlfWLx4sX3j6FHPBeLo2DHbwyVLlnguDiLySiyGIJSUlOCZZ56xVWkGyUV4eXwgXowLxIjAnr15Eh4oxYtxgXh5fCCC2lagqqmpwTPPPMOCCCKiO5haWlBdXAxTS4unQ6F+YNzQICh9fe5/YDcofX0wdmgQAKC8vBwNDQ1OGZf6l+joaLz//vu27fSis1ix/xs0Gk3dOr/RaMKK/d8gveisbd/GjRsRHR3t9FiJiMjOarUiNTUVdXV1AISOEPPjAiAV924V6fuRikVYMDbQ1iGirq4Oy5Ytg9Vqdem8RETejHkBcqaHh4vh7+uc3+f+viKMHCa8fcS8AN3NnXmB7QeN2PyZAc2G7v1912ywYvNnBmx36CrBvAARkXfSaDRYuXIlYmNjoVQqoVarMXXqVKjVaiiVSsTGxmLlypXQaHrXQZiIaKBhXoDu5+xZ+/uoGDHCc4F0xaEYgn8D9D8zZsxAVFSUsHHuHHDrlmcDqq21daiIiopCcnKyZ+MhIq/DYogBrrKyEsnJydDpdACAkcFSrJkSjNFDZPc5895GD5FhzZRgjAwWiil0Oh2SkpLsrbuIiAhH0tPx+aJFOLp2radDoX5g7FClU8cb1zae1WrFhQsXnDo29R/Lli3DG2+8YdveVnwZqq1fYPOJi9C1dL0ipK6lFZtPXIRq6xe2jhAA8OabbyIlJcXVIRMRDXi7d+9Gfn4+ACBQJnJLIUQ7qViYL0AmzJefn489e/a4ZW4iIm/EvAA508PDnPt2T/RwYTzmBehe7swL5J80IXVTM/YdbUVTS9dFEU0tVuw72orUTc22jhAA8wJERN7o4sWLSEpKQlxcHLZs2YLy8vIujysvL8eWLVsQFxeHpKQkXLp0yc2REhH1TcwL0P00NjbaN/z9PRdIVxziaWpq8mAg5AoSiQSpqanChtUKFBR4NqDCQiEOAMuXL4dEIvFsPETkdZzTM5n6JKvViqVLl9o6QowMliJlQhBkEufcBKHwESNlQhC2l9TjstaEmpoapKSk4MCBAxCJ3HOjBRGRt9LfuIGqL78EAFT+7W/Q37wJxdChHo6K+rJAmXP/rAuQ2V88tnA1ErqH9evXY+jQoVi9ejX0ej0qdM34zaEypBedxdihQRg3VIkAmQSNRjNO39ThzM16GM0W2/kKhQIbN27kDQ9ERG5QW1uLVatW2bbnjQ6Awse962QofMSYNzoA2aeFFaZXrVqF5557DqGhoW6Ng4jI05gXIGdTyJ07np/DeknMC9C93JkXqNZakbHfiB0HjRg5TIzo4WL4yYBmI3DpugWXb1jQarafz7wAEZF3ysrKsv1sbyfxkWF4zFgMezQOckUgDPoG3DhfhuvlZ2BuFTr9FBYWIi4ujj/biYjug3kB6g6j0d5JD1Ivu83TIR6DweDBQMhVUlJS8M4770Cr1QKlpcC4ccCYMe4PRKMR5gcQHByMpUuXuj8GIvJ67AwxgO3cuRMFbVV7QXIRXhof6LRCiHYyiTBukFwY99ChQ9i1a5dT5yAi6ouufvFFx+3PP/dQJNRfNBhN9z+oBxqN9nelfX19nTo29T/Lli1DWVkZEhMTbfuMZgtOXdPiw9IKbDpxCR+WVuDUNW2HQojExESUlZXxTTEiIjfZvn27rTNk/DAZxoT1rivkg1KFyRA/TJhbq9Vix44dHomDiMiTmBcgZ9M7+b6DZof7LZgXoPvpKi/QagbOV1lQcMqEz46aUHDKhPNVHQshmBcgIvJOb775JlJTU22FEMHDozD7nzfitc+r8E97jmLe65mYlb4B817PxD/tOYrXPq/C7H/eiODhUQAAvV6PZcuW4a233vLkp0FE5NWYF6DukMkccvgm594P0GsO8cjlTl6hgbxCaGgoNm7caN+Rmws4FMq6hV4vzNtm06ZNXFyLiLrEYogBqqGhAenp6bbt5124GqTCR4znRwfYttesWYOGhgaXzEVE1FdcLSq65zZRT525qXPqeKfbxhOJRBg1apRTx6b+KTo6GgUFBSgrK8PKlSsRGxt7z25g//u//4uCggJER0e7MUoiooHLbDZj27ZtAAARgKRHFB6NJ/ERBdp/S2zbtg1ms/mexxMR9TfMC5Cz/XDDcv+DeuDSdWE85gWou5gXICLqH7KysvD666/btic9vwyvfFqKqS+kwTdQ2eU5voFKTH0hDa98WopJzy+z7V+/fj2ysrJcHjMRUV/EvAB1R0CA/X47NDV5LpCuOMTj7+/vwUDIlRYtWoSZM2cKGw0NwMcfu68wx2QC9u4FGhsBALNmzcLChQvdMzcR9Tkshhig9u7dK7QwgrAa5Oghrl0NcvSQjqs+fvzxxy6dj4jIm7XcuoWa4uIO+2qKi9Fy+7aHIqL+4PTNeuhaWp0ylq6lFWdu1gMAYmJiEBgY6JRxaWBQqVTYvHkzvv/+e2i1WpSUlCA/P7/TcY899pgHoiMiGrgOHjyIK1euAABiQ30wWCHxaDyhCgliB/sAACoqKnDo0CGPxkNE5E7MC5Ar/HDdgqYWq1PGamqx4nJbcQXzAtRTzAsQEfVdFy9exOrVq23bz/32Hfxk3QeQKwLucZadXBGAn6z7AM+t/k/bvtWrV+PSpUtOj5WIqC9jXoC6a8yYMfaNa9c8F0hXqqpsD1UqlQcDIVcSiUTIzMxESEiIsKO8XChQcHVBRHshxPnzAICQkBBkZmbec9EFIhrYWAwxAFmtVmzdutW2/fRIP7fM+48O82zduhVWq3PemCEi6msqv/gCVkvH1fqsFgsq72iFSdQTRrMFe85cdcpYu09fgdEsfI0mJCQ4ZUwamIKCghAfH4/HH3/c06EQEQ142dnZtsdTI3w9GIndlEh7HB999JHnAiEicjPmBcgVWs3AF6XOeSP68xITWtuaNjEvQL3BvAARUd+SlpYGvV4PQOgI8eSCVx5onCcXrrZ1iNDr9VixYoWzQiQi6heYF6DuUqvV9o3KSs8F0hWHYogOcVK/Ex4ejry8PPj5td37efYssGsX0PZ3o9Pp9cDOncI8ABQKBfLy8jBixAjXzEdE/QKLIQag4uJiaDQaAMDIYClGBErdMm94oBRRSmGusrIylJSUuGVeIiJvc+UuLS7Z+pJ6a8PR82g09u7Gh0ajCe8du2DbXr58eW/DIiIiIi9w/PhxAIBcIkJsqI+HoxE8FuoDuURYxefEiRMejoaIyH2YFyBXyTncimZD7xYhajZYkfu1vfMk8wJEREQDQ1lZGQoLCwEAwcOjMOOVP/RqvBmv/AHBw6MAAIWFhbb7E4iIiHkB6r6wsDBEREQIG1VVwB1FNB5jsdiKISIjIzFkyBAPB0SuNm3aNOzbt89eEFFeDmzYYCtYcBqNBnj3XVtHCIVCgX379mHatGnOnYeI+h0WQwxA7TdAAMD4YXK3zh0/3D6fYxxERAOFQavFzZMnu3zuxokTMOp0bo6I+pMKXTPWFvbuDYW1hRpU6JoBAImJiR1bbxIREVGfVF1djcq2VaPCgyQQe0kbYbFIhPBACQDg6tWrqKmp8XBERESux7wAuVK11oodB429GmPHQSOqtUJBBfMCREREA0dmZqbt8ZMLV0OuCOjVeHJFAJ5c+EqX4xMRDWTMC1BPTZ48WXhgMADnznk2mHbffy/EA2DSpEkeDobcJSEhAUVFRQgJCRF2NDQAH30E/PGPwK1bvRu8tlYYJzsbaGwEAISEhKCwsBDTp0/v3dhENCC4pyUAeZVTp07ZHkcGSdw6t+N8jnEQEfUH9RUVKNu8GYZ7JCiMOh2spq5X7reaTPhbSgpkSuVdz5crlYj79a8RFBXV63ipf1EoFNDr9dhWfBmjBvljzdRHezzGe0fPY1vxZdt4GRkZTo6SiIiIPKG4uNj2OMJN3SG7KzxIikta4e/j4uJiJCcnezgiIqIHx7wAeVJ7XiD/pAkjBosx78med4LKPdyK/JMm23jMCxAREQ0cRW2rkUt8ZJgwc75TxpwwcwEOvP8vMLcabeMTEfVnzAuQKyxevBg5OTnCxtGjwOjRng0IAI4dsz1csmSJ5+Igt5s2bRrKysqQmpqK/Px8YWdpKfDNN0BsLDBlCvDYY4C4G2u0WyxCYc2xY0Khj9Xe7XTmzJnIysrCiBEjXPOJEFG/413vgJNblJaWAgDEImB4gHu/BIYHSCEWARYrUFJS4ta5iYhc7dusLFQcPNirMW53o4WcRC7H5P/4j17NQ/3PG2+8gfT0dABAetFZXLjdhHcTVQiQ3f93faPRhLWFGlshBABs3LgR0dHRrgqXiIiI3Oisw9+YI4K8KxUU7hCPRqNhMQQR9WnMC5AnOeYFth804totC5bOkMFPfv+OUM0GoaNEeyEEwLwAERHRQFJfX4/y8nIAwPCYsfANvPtNuD3hG6jEsEfjUPVtMcrLy9HQ0IDAwECnjE1E5I2YFyBXmDFjBqKiolBRUSHcMH7rFjB4sOcCqq21daiIiopiTn8ACg8PR15eHnbv3o1Vq1ZBp9MJhQzffy/8k8uB8HD7P39/QCoFTCagqQmoqrL/a+sw0i44OBibNm3CwoULIfKSLudE1Dd0owSL+pva2loAQKBMDB+Je39p+EhECJQJX3a3etseiYjIy4x46inA1X+Mi0TCPER3WLRoEd544w3b9rbiy1Bt/QKbT1yErqW1y3N0La3YfOIiVFu/6FAI8eabbyIlJcXVIRMREZGbNLa1FAYAfx/vSh47xtPU1OTBSIiIeo95AfKkO/MC+SdNSN3UjH1HW9HUYu3ynKYWK/YdbUXqpuYOhRDMCxAREQ0sFy5csD0e9micU8ceHjMWAGC1WjvMQ0TUHzEvQK4gkUiQmpoqbFitQEGBZwMqLLSt4L98+XJIJBLPxkMeIRKJsHjxYly4cAFvv/02ohy71RgMwKVLwOHDwCefAB9+CGRmCh8/+UTYf+lSh0KIqKgovP322zh//jwWLVrEQggi6jHvWg6Q3MJoNAIApB4qhZG0zWu4o7KPiKiveygpCT9WKnHsX/8VzdXVTh/fLywMU//wBwydNMnpY1P/sH79egwdOhSrV6+GXq9Hha4ZvzlUhvSisxg7NAjjhioRIJOg0WjG6Zs6nLlZD6PZYjtfoVBg48aNvOGBiIion2nPAwCAVOxdCWTHeJgnIKK+jnkB8rQ78wLVWisy9hux46ARI4eJET1cDD8Z0GwELl234PINC1rN9vOZFyAiIhqYHF+PyxXO7dwg8wuwPW5paXHq2ERE3oZ5AXKVlJQUvPPOO9BqtUBpKTBuHDBmjPsD0WiE+SGs4L906VL3x0BeJTQ0FK+++irWrl2LgwcPIjs7GydOnMDVq1fve25kZCQmTZqEJUuWIDk5mYU1RNQr7AwxAMlkMgCAyXKfA12k/Z5LuVzumQCIiFxo2OTJmPGXvyD86aedOm74009jxl/+wsQG3deyZctQVlaGxMRE2z6j2YJT17T4sLQCm05cwoelFTh1TduhECIxMRFlZWW84YGIiKgfas8DAIDJ0vXK0J7iGA/zBETUHzAvQJ7WVV6g1Qycr7Kg4JQJnx01oeCUCeerOhZCMC9AREQ0cDm+HjfoG5w6trHZ3q3S19fXqWMTEXkj5gXIFUJDQ7Fx40b7jtxcQK93bxB6vTBvm02bNiE0NNS9MZDXkkgkmDVrFj799FNcuXIFN2/exMGDB/Huu+9i7dq1nY7/9ttvceXKFXz66aeYOXMmCyGIqNdYDDEAtf8h0mC0oNXs3psgWs1WNBiFGy8HDx7s1rmJiNzFNyQET33wAdTr1kHscOPZgxDLZFCvW4enPvgAviEhToqQ+rvo6GgUFBSgrKwMK1euRGxsbKc2giKRCLGxsVi5ciU0Gg0KCgoQHR3toYiJiIjIlQIC7KswNrV6VzGEYzz+/v4ejISIyHmYFyBPY16AiIiIemLUqFG2xzfOlzl17OvlZwAIf3s4zkNE1J8xL0CusGjRIsycOVPYaGgAPv4YMJncM7nJBOzdCzQKRY6zZs3CwoUL3TM39UlhYWFITk5Genp6l8UQLKQhImeTejoAcr/4+HicOXMGFitwvdGEh5Q+bpv7eqMJ7Ys+TpgwwW3zEhG5m0gkQuz8+QhTq3Fk7VrUX7rU4zGCoqMxbcMGhMTGuiBCGghUKhU2b94MAKivr8fFixfR0tICX19fjBo1CoGBzm13TURERN5pjEO77Gv1JqiHe08Hhqp6+5s1KpXKg5EQETkX8wLkDZgXICIiou4ICgpCTEwMysvLcb38DFoadPANVPZ63JYGna24IiYmhn97ENGAwrwAOZtIJEJmZibi4uJQV1cHlJcLBQoLFgBSF94C2l4Icf48ACAkJASZmZmdFl0gIiLyJHaGGIAmTpxoe3y13nyPI53PcT7HOIiI+quQxx5D8p//jOCYmB6dFxwTg+Q//5mJDXKaoKAgxMfHY8qUKYiPj+ebDkRERAOIWq22Pa5scNNKUd3kWAzhGCcRUX/BvAB5C+YFiIiI6F4SEhIAAOZWI0ryP3bKmCX5e2FuNXYYn4hooGFegJwpPDwceXl58PPzE3acPQvs2gXo9a6ZUK8Hdu4U5gGgUCiQl5eHESNGuGY+IiKiB8RiiAFo8uTJtsff3DC4de7S6/b5HOMgIurPRGIxGquqenROY1UVRBKJiyIiIiIiooEkLCwMERERAICqejMsVquHIxJYrFZUNQiLJkRGRmLIkCEejoiIyDWYFyAiIiIib7d8+XLb48N73odB39ir8Qz6Rhzes7HL8YmIBhrmBciZpk2bhuzsbPuO8nJgwwZbwYLTaDTAu+/aOkIoFArs27cP06ZNc+48RERETsBiiAFIrVZDpVIBAC5rTbjmplUhqxpMqNAJc8XFxWHChAlumZeIyNOuHz0KU1NTj84xNTXhxtGjLoqIiIiIiAaa9gUJDGYrztW2ejgawfe1rTCYhcKMSZMmeTgaIiLXYV6AiIiIiLydSqVCYmIiAEB7vQIHN77aq/EObnwV2usVAIDExESMGTOm1zESEfVVzAuQsz399NMddzQ0AB99BPzxj8CtW70bvLZWGCc7G2gUiiNDQkJQWFiI6dOn925sIiIiF2ExxAAkEomQlpZm2/7qcrNb5v27wzxpaWkQiURumZeIyNOuFhW59TwiIiIiojstXrzY9vhoZYsHI7E7dtUex5IlSzwXCBGRizEvQERERER9QUZGBhQKBQDgRE4WDu95/4HGObznfZzIyQIgrCKdkZHhtBiJiPoi5gXIbUpLgf/8T+DDD4FvvwUslu6dZ7EIx3/4IfDOO8I4bWbOnAmNRsOOEERE5NWkng6APGPBggVYt24dtFotSm8YET/MiNFDZC6b77saI0pvGAEAwcHBmD9/vsvmIiLyJpbWVlR9+eUDnVv5t7/B0toKsY+Pk6MiIiIiooFmxowZiIqKQkVFBc7VtuKW3ozBCs+1Wa/Vm3HultChIioqCsnJyR6LhYjIlZgXICIiIqK+Ijo6Gu+//z5SU1MBAAfe/xfcunoRM175A+SKgPueb9A34uDGV22FEACwceNGREdHuyxmIiJvx7wAuUtQUBDq6+sBqxX4/nvhn1wOhIfb//n7A1IpYDIBTU1AVZX9n8HQYbzg4GBs2rQJCxcu5ILHRETk9dgZYoAKDAzEhg0bbNs53zVC39rNatAe0rdakPNdo237vffeQ2BgoEvmIiLyNjdPnoSxvr7L5yKefRazDhxAxI9/3OXzxvp63Py//3NleEREREQ0QEgkEtvNDFYABRf1Ho2n8KIe1rbHy5cvh0TiucIMIiJXYl6AiIiIiPqSZcuW4Y033rBtn8jJwsafx+PoJ1vQ0qDr8pyWBh2OfrIFG38e36EQ4s0330RKSorLYyYi8mbMC5C7nDhxAm+//TaioqLsOw0G4NIl4PBh4JNPhM4PmZnCx08+EfZfutShECIqKgpvv/02zp8/j0WLFrEQgoiI+gQWQwxgL7/8sm3lxXqDFbu+aYDRbL3PWT1jNFuxs7QB9QZh3BkzZuCll15y6hxERN6sq9aVYpkMj69fjyc3bUJQVBSe/K//wsTXXoNY1rlDD1tfEhEREZGzpKSkIDg4GABQesOIs9VGj8Shqe7YPXLp0qUeiYOIyB2YFyAiIiKivmb9+vXIzMyEQqEAAGivVyDvndV4a3o4PlgwBblvpCLv3TXIfSMVHyyYgremhyPvndXQXq8AACgUCmRlZeG1117z5KdBROQVmBcgdxk8eDBeffVVXLx4EXl5eXj++ecRGRnZrXMjIyPx/PPPY//+/bh48SJeffVVhIaGujhiIiIi55F6OgDyHJFIhO3bt2PChAmoqanBZa0J20vq8dL4QCh8el8no2+1YGdpAyp0JgDAkCFDkJWVxYpRIhowLGYzKv/2tw77lI88gmkbNiA4Jsa2TyQSIeaXv0SYWo0j6enQXbxoe67yiy+ExAdXyiUiIiKiXgoNDcXGjRuxZMkSAEDud414OCTYKTmA7tK3WpDr0D1y06ZNfFOFiPot5gWIiIiIqK9atmwZpk+fjhUrVqCwsBAAYG41ourbYlR9W3zX8xITE5GRkYHo6Gh3hUpE5LWYFyBPkEgkmDVrFmbNmgUAqK6uRklJCTQaDZqammAwGCCXy+Hv7w+VSgW1Wo0hQ4Z4OGoiIqLeYTHEABcREYGCggI888wz0Ol0uKw14b1jWjw/OgCjh3SuOO6u72qMyPmu0dYRQqlUoqCgABEREc4KnYjI6zXfvImWW7ds26N+8QtMWLsWUj+/Lo8PjolB0n//N0reeQcX/vxnAEDLrVtovnkT/iNGuCVmIiIiIurfFi1ahE8//RT5+floMFrxcVkjXhofCKnY9QsXmCxW7D3TiEajkCuYNWsWFi5c6PJ5iYg8hXkBIiIiIurLoqOjUVBQAI1Gg8zMTBQVFaG8vBxWq9V2jEgkQkxMDBISErB8+XKMGTPGgxETEXkXZ+UFrp49i2+rqnD27Fk0NjbCaDRCJpMhICAAY8aMgVqtRlhYmFs+J+p7wsLCkJycjOTkZE+HQkRE5DIshiDEx8fjyy+/RFJSEmpqalBvsGLnNw2IHybDP470Q3hg979MqhpM+PvlZpTeMNr2DRkyBIWFhRg/frwLoici8l5+Q4di5OzZqPvuO4xduRKRCQn3PUfq54cnfvc7DJsyBWVbtiDkRz+CYtgwN0RLRERERAOBSCRCZmYm4uLiUFdXh/Jbrdh7pgELxrq2IEIohGjA+dutAICQkBBkZmayeyQR9WvMCxARERFRf6BSqbB582YAQH19PS5evIiWlhb4+vpi1KhRCAwM9HCERETe6UHzAurXXkOljw+qc3JwvqEBC8aNg/U+50VERGDy5MlYvHgxZsyYAQk7SRAREdEAwmIIAiAURJSUlCAlJQWHDh0CAJTeMKL0hhFRSinih8sRGSTB8AApfCT2GxVazVZcbzThar0ZpdcNqNCZOoybnJyM7du3syMEEQ1IYokEU//whwc696HERDyUmOjkiIiIiIiIgPDwcOTl5SEhIQHNzc04W9OKXd80YH5cABQ+YqfPp2+1YO+ZRlshhEKhQF5eHkZwlXMi6ueYFyAiIiKi/iYoKAjx8fGeDoOIqE/oaV6gtrYW27dvR2ZmJioqKno0V2VlJXJycpCTk4OoqCikpqYiJSUFoaGhPQ2biFysuroaxcXF7PZCRORELIYgm4iICBw4cAC7du3CmjVroNVqAQAVOpOtyEEsAgJlYkjEgNkCNBgtsHRRfhwcHIz33nsPL730Eld5JCIiIiIiIvIy06ZNw759+zB37lw0Nzej/FYrNhzVYt7oAIwJkzltHk21EbnfNaLRKCQPFAoF9u3bh2nTpjltDiIiIiIiIiIiIqK+ymq1Yvfu3Vi1ahV0Ol3HJ+VyIDwciIgARowA/P0BqRQwmYCmJuDaNaCyEqiqAgwGAEBFRQXWrVuHd955Bxs3bsSiRYt47xaRB5nNZhw4cAC7d+/G8ePHUVlZed9z2O2FiKhnWAxBHYhEIrz88sv4+c9/jo8//hhbtmyBRqOxPW+xAjqD5a7nx8XFIS0tDfPnz2c7TCKiXrJarSguLsbx48dx6tQplJaWora21lYVHhoaivj4eEycOBGTJ0+GWq1mEoOIiIiIui0hIQFFRUWYPXs26urq0GC04qPTDYgfJkPSIwoMVjx4cr1Wb0bhRT1Kbxht+0JCQpCXl8dCCCIiIiIiIiIiIiIAVVVVSE1NRX5+vn2nSATExgJTpwofxffo5qtWCx8tFuDcOeDoUeGj1QqtVoslS5bg008/RVZWFjv1ErkZu70QEbkPiyGoS4GBgVi+fDlSU1NRUlJiuxG3pKQEt27dgsFggFwux+DBgzFhwgTbjbgTJkzgjbhERL3U0NCAvXv3YuvWrR0K0u507do1nDlzBtnZ2QAAlUqFtLQ0LFiwgAVpRERERNQt06ZNQ1lZWYc33EpvGPHNDSNiB/tgSqQvHgv1gbgbr/UtViu+r23FsastOHerFY6NJGfOnMk33IiIiIiIiIiIiIjaHDlyxLZQjU18PJCUBAwe3LPBxGJg9Gjh361bQEEBUFoKAMjPz4dKpeJCNURuwm4vRETux2IIuieRSAS1Wg11eyUxERG5jNVqxc6dO5Geng6tVtvpebEICJSJIRUDJgvQYLTA4nCHmUajQVpaGtatW4cNGzbg5Zdf5gsgIiIiIrqv8PBw5OXldUjOWwF8f6sV399qhVwiQnigBOFBUoQHSeHvI4JULILJYkVTqxVV9SbhX4MZBrO1w9jBwcHYtGkTFi5cyL9NiYiIaEBjF1giIiIiImpXVFSEuXPnorm5WdgRGAjMmweMGdP7wQcPBl58ERg3DsjNBRoaUFdXh4SEBOzbtw8JCQm9n4OIusRuL0REnsFiCCIiIi9QWVmJlJQUHDp0qMP+kcFSjB8mR2SQBMMDpPCR2N8AbTVbcb3RhKv1ZpReN6BCZwIAaLVaLF26FDk5Odi+fTsiIiLc+rkQERERUd8jEomwePFizJw5Ezt27MC2bdtsbZsNZisuaU24pDV1e7yoqCgsX74cS5cuZdtmIiIiGtDYBZaIiIiIiBx9/fXXHQshYmKA+fMBhcK5E40ZAzz8MPDxx0B5OZqbmzF37lwUFRWxQwSRC7DbCxGR59yjzIyIiIjcobS0FBMmTOhQCBE/TIbVk5X4p8eVmBbpi4eUPh0KIQDARyLCQ0ofTIv0xconlHhlshLxw2S25w8dOoQJEyagtO0FERERERHR/YSGhuLVV1/FxYsXkZeXh+effx6RkZHdOjcyMhLPP/889u/fj4sXL+LVV19lIQQRkRPV19ejpKQEx44dQ0lJCerr6z0dEhHdg9VqxYcffoiHHnoIaWlpnQshRCL4+PpC5u8PH19fYaVIB+1dYB966CF8+OGHsFo7duAiIiIiIqK+p6qqCnPmzLEXQqhUwEsvOb8Qop1CIYzf1nGiubkZs2fPxrVr11wzH9EAVVRUhISEBHshRGAgsGSJ0KWlp4UQd2rv9rJkiTAuYOv2UlRU1LuxiYj6CXaGICIi8qCSkhL8+Mc/hk6nAwAEyUV4fnQARg+R3efMzsIDpXgxLhDxw4zI+a4R9QYrampq8Mwzz+DLL79EfHy8s8MnIiIion5KIpFg1qxZmDVrFgCguroaJSUl0Gg0aGpqgsFggFwuh7+/P1QqFdRqNYYMGeLhqImI+h+NRoNt27ahqKgI5eXlnZ6PiYlBQkICli9fDpVK5YEIiagrd+sCqxg0CCHh4VCEhMA3KAhiicT2nMVsRkt9PfR1dairqoL+9m0A7AJLRERERNRfWK1WpKam2m+Wbu8IIXXx7XtSKbBgAbBrF1Bejrq6Oixbtgx5eXkQ3VGUTUQ9x24vRESex2IIIiIiD6msrERycrKtEGJksBQvjQ+Ewqd3jZtGD5FhTXAwdn3TgMtaE3Q6HZKSklBSUsI3S4m8SH19PS5cuGC7mXTUqFEICgrydFhERERdCgsLQ3JyMpKTkz0dChHRgHDx4kWkpaWhsLDwnseVl5ejvLwcW7ZsQWJiIjIyMhAdHe2mKImoK6WlpUhKSkJNTY1tX3BEBMJGjYKfUnnX88QSCRQhIVCEhCA0OhrNOh2qL1yAtrISgL0LbEFBARc9ISIiIiLqg3bv3o38/HxhIzDQPYUQ7aRSYb533wUaG5Gfn489e/Zg0aJF7pmfqJ/qstuLK7+327u97N0LnD1r6/ai0WgwYsQI18xJRNQH9O5uSyIiInogVqsVS5cutb0pOjJYipQJQb0uhGin8BEjZUIQRgYLL7BqamqQkpICq9XqlPGJ6MFoNBqsXLkSsbGxUCqVUKvVmDp1KtRqNZRKJWJjY7Fy5UpoNBpPh0pERERERB6SlZWFsWPHdiiE8JEAMRFiJE2U4qfTpEiaKEVMhBg+9kXlUVhYiLi4OGzfvt0DURMRIHSBfeaZZ2w5P6mvLx6ePBlRavU9CyG64qdUIkqtxsOTJkHq6wsAti6wpaWlTo+diIiIiIhcp7a2FqtWrbLvmDfP+avG349CIczbZtWqVaitrXVvDET9iMe7vcTEAICt2wvvByKigYzFEERERB6wc+dOFBQUAACC5CK8ND4QMolzW1DKJMK4QXJh3EOHDmHXrl1OnYOIuufixYtISkpCXFwctmzZgvLy8i6Pa1/RNS4uDklJSbh06ZKbIyUiIiIiIk968803kZqaCr1eDwAICxYhbbYMn/x/CvxXmh9W/0yO1JlyrP6ZHP+V5odP/j8F0mbLEBYsvPbX6/VYtmwZ3nrrLU9+GkQD0p1dYBWDBiH2mWcQNHRor8YNGjYMsc88A8WgQQBg6wJb2dYxgoiIiIiIvN/27dttrxUQHw+MGeOZQFQqYX4AWq0WO3bs8EwcRP2AV3R7CQgAAFu3FyKigYrFEERERG7W0NCA9PR02/bzowOc1hHiTgofMZ4fHWDbXrNmDRoaGlwyFxF1ratVXWUSMR4fEYxfxUfhlUmP4FfxUXh8RDBkEvvPAq7qSkREREQ0sGRlZeH111+3bc98QorMVX6YM8UH/r5dL6Dg7yvCnCk+yFzlh5lP2N9sXb9+PbKyslweMxEJ7uwCqxg0CNFTpkAqkzllfKlMhugpU2wFEewCS0RERETUd5jNZmzbtk3YEImApCTPBpSYKMQBYNu2bTCbzZ6Nh6gPYrcXIiLvwmIIIiIiN9u7dy+0Wi0AIH6YDKOHOOdN0bsZPUSG+GHCHFqtFh9//LFL5yMiuztXdY1S+mHzjLGoTp+BkylPY8eceLyfHIcdc+JxMuVpVKfPwOYZYxGl9APAVV2JiIiIiAaKixcvYvXq1bbtlOdk+PVP5PCTd6+LpJ9chF//RI6UGfYcw+rVq9ltjshNHLvASn198fCkSZA4eTVIiVSKhydNgtTXFwC7wBIRERER9RUHDx7ElStXhI3YWGDwYM8GFBoqxAGgoqIChw4d8mw8RH0Qu70QEXkXFkMQERG5kdVqxdatW23bT4/0c8u8/+gwz9atW7lqHJEb3Lmq63L1SGjSnsXKJ6Kh9PXp8hylrw9WPhENTdqzWK4eadvPVV2JiIiIiPq3tLQ0WxH1zCekmPcPXb9muJ95T/rYOkTo9XqsWLHCaTESUdfu7AIbOX680zpC3EkqkyFy3DjbNrvAEhERERF5v+zsbPvG1KmeC8TRlCm2hx999JHn4iDqg9jthYjI+7AYgoiIyI2Ki4uh0WgAACODpRgR6NwV4u4mPFCKKKUwV1lZGUpKStwyL9FAdeeqru8lqpAxazwCZN37ng+QSZExazw2JNhXkOCqrkRERERE/VNZWRkKCwsBAGHBIiyd0bubqJfOkCEsWHgDtLCw0JaHICLXcOwCGxwRgaChQ106X9CwYQiOiADALrBERERERH3B8ePHhQdyua0jg8c99pgQD4ATJ054OBiivoXdXoiIvA+LIYiIiNzIlugAMH6Y3K1zxw+3z+cYBxE5n+OqrsvVI/HbKaMeaJw1Ux+1dYjgqq5ERERERP1TZmam7fHzT/rATy7q1Xh+clGHzhKO4xORc93ZBTZs1IO9/u8px3nYBZaIiIiIyHtVV1ejsrJS2AgPB8RecqueWCzEA+Dq1auoqanxcEBEfQe7vRAReR8v+QuLiIhoYDh16pTtcWSQxK1zO87nGAcROZfjqq5RSj+8m6jq1XjvJqoQpfQDwFVdiYiIiIj6o6KiIgCAjwR4Nt45HSSnT5DCR9JxfCJyPscusIpBg+CnVLplXj+lEopBgwCwCywRERERkTcrLi62b7R1ePMabcUQwB1xEtE9sdsLEZH3YTEEERGRG5WWlgIAxCJgeIBzbnDoruEBUojbFpfkG6REruO46mr61EcRIOvd93qATIo1Dp0luKorEREREVH/UV9fj/LycgDAw8PF8PftXVeIdv6+IowcJqT/y8vL0dDQ4JRxiagjx+6rIQ43ErmD43zsAktERERE5J3Onj1r3xgxwnOBdMXhNQUXYyPqHnZ7ISLyTl7y05iIiGhgqK2tBQAEysTwkTjnBofu8pGIECgTfvXfunXLrXMTDSTtq67KJGIsHBvplDEXjXsIMom4w/hERERERNT3Xbhwwfb44WHOTddHDxfGs1qtHeYhIudx7L6qCAlx69x+wcFdxkFERERERN6jsbHRvuHv77lAuuIQT1NTkwcDIeo72O2FiMg7sRiCiIjIjYxGIwBA6qHfwG33UsNgMHgmAKJ+znFV13FDg6D09XHKuEpfH4wdGgSAq7oSEREREfUnjq/PFXLnju0nsz9uaWlx7uBEBMDeBRYiEXyDgtw6t59SCYiExVbYBZaIiIiIyDu13x8AAJD2rpu80znEw/sHiLqH3V6IiLwTiyGIiIjcSCYT7kQwWTwzv7ltXrncyXdYEBGAjqu6jh2qdOrY49rG46quRERERET9h+Prc72T7ztodrjfwtfX17mDExEAexdYH7kcYonErXOLJRL4tP0MYRdYIiIiIiLv1H5/AADAZPJcIF1xiIf3DxB1D7u9EBF5JxZDEBERuVFoaCgAoMFoQavZ6ta5W81WNBiFaojBgwe7dW6igcJx1ZRAmXNXdwmQ2W+q4KquRERERET9w6hRo2yPf7jh3JUTLl0XxhOJRB3mISLnaV/lVeTmQoh2IrHwNh9XcSUiIiIi8k4BAQH2DW+7OdkhHn9vu6mbyEux2wsRkXdiMQQREZEbxcfHAwAsVuB6o3tXfrjeaIKlrf5iwoQJbp2baKBwXDWlwejc7/FGo9n2mKu6EhERERH1D0FBQYiJiQEA/HDdgqYW5yyc0NRixeW24oqYmBgEBgY6ZVwi6qh9lVer2XyfI13DahG+z7mKKxERERGRdxozZox949o1zwXSlaoq20OVSuXBQIj6DnZ7ISLyTiyGICIicqOJEyfaHl+td++bpI7zOcZBRM7juNrqmZs6p459um08rupKRERERNS/JCQkAABazcAXpc55E/XzEhNazR3HJyLna+8C22owwOLmggiL2YzWtpUe2QWWiIiIiMg7qdVq+0ZlpecC6YpDMUSHOInortjthYjIO7EYgoiIyI0mT55se/zNDfe2pSu9bp/PMQ4ich7HVV1P36yHrqXVKePqWlpx5mY9AK7qSkRERETU3yxfvtz2OOdwK5oNvesO0WywIvdr+2sRx/GJyLnau8DCakVLfb1b527W6QCr8POCXWCJiIiIiLxTWFgYIiIihI2qKqCtu5vHWSy2YojIyEgMGTLEwwER9Q3s9kJE5J1YDEFERORGarXa9qLjstaEaw3uaZtX1WBChU6YKy4ujm+QErlQ+6qrRrMFe85cdcqYu09fgdFs6TA+ERERERH1DyqVComJiQCAaq0VOw4aezXejoNGVGuFG6QTExM7vklLRE7l2H1VX1fn1rmbtdou4yAiIiIiIu9iW6jQYADOnfNsMO2+/16IB8CkSZM8HAxR38FuL0RE3onFEERERG4kEomQlpZm2/7qcrNb5v27wzxpaWkQiURumZdoIHJcdXXD0fNoNPau6KnRaMJ7xy50OT4REREREfUPGRkZUCgUAID8kybkHn6wLnO5h1uRf1J4DaJQKJCRkeG0GImoM8fuq3UONx24g+N87AJLREREROS9Fi9ebN84etRzgTg6dsz2cMmSJZ6Lg6iPYbcXIiLvxGIIIiIiN1uwYAGCg4MBAKU3jPiupncrPt7PdzVGlN4Q5ggODsb8+fNdOh/RQOe4qmuFrhlrCzW9Gm9toQYVOqGgiau6EhERERH1T9HR0Xj//fdt29sPGrH5MwOaDdZund9ssGLzZwZsd+gqsXHjRkRHRzs9ViKyc+wCq799G806nVvmbdbpoL99GwC7wBIRERERebsZM2YgKipK2Dh3Drh1y7MB1dbaOlRERUUhOTnZs/EQ9THs9kJE5H1YDEFERORmgYGB2LBhg20757tG6FtdUy2ub7Ug57tG2/Z7772HwMBAl8xFRHaOq7puK76M946ef6Bx3jt6HtuKLwPgqq5ERERERP3dsmXL8MYbb9i280+akLqpGfuOtqKppeuiiKYWK/YdbUXqpmZbRwgAePPNN5GSkuLymIkGuju7wFZfuHCPo53HcR52gSUiIiIi8m4SiQSpqanChtUKFBR4NqDCQiEOCB3pJRKJZ+Mh6mPY7YWIyPuwGIKIiMgDXn75ZdsKC/UGK3Z90wCjuXurPXaX0WzFztIG1LetIjljxgy89NJLTp2DiLp256qu6UVnsWL/N2g0mu5xll2j0YQV+79BetFZ2z6u6kpERERE1P+tX78emZmZtuLqaq0VGfuNeOE/9Pj1lma8/xcDtu034P2/GPDrLc144T/0yNhvRLVWeO2vUCiQlZWF1157zZOfBtGA4tgFVltZifobN1w6X/2NG9BWVgJgF1giIiIior4iJSXF9roBpaXA2bP3PN5lNBphfgivJ5YuXeqZOIj6MHZ7ISLyPiyGICIi8gCRSITt27djyJAhAIDLWhO2l9Q7rUOEvtWCrOJ6VOiEG6+HDBmCrKwsrhJH5EZ3ruq6rfgyVFu/wOYTF6Frae3yHF1LKzafuAjV1i9sHSEArupKRERERDSQLFu2DGVlZUhMTLTtazUD56ssKDhlwmdHTSg4ZcL5KgtazfbzEhMTUVZWxtcORG52ZxfYq6dPw2Q0umQuk9GIq6dP27bZBZaIiIiIqG8IDQ3Fxo0b7TtycwG93r1B6PXCvG02bdqE0NBQ98ZA1A+w2wsRkfdhMQQREZGHREREoKCgAEqlEoBQEPHeMS2+q+ndm6Xf1Rjx3jGtrRBCqVSioKAAERERvY6ZiHrmzlVdK3TN+M2hMoRtOIjHt3+FpX8txSuHzmDpX0vx+PavELbhIH5zqAwVumYAXNWViIiIiGigio6ORkFBAcrKyrBy5UrExsZ2WuBAJBIhNjYWK1euhEajQUFBAbvJEXmIYxdYU0sLfjhxAmZT97pDdpfZZMIPJ07A1NICgF1giYiIiIj6mkWLFmHmzJnCRkMD8PHHgJNfN9yVyQTs3Qs0NgIAZs2ahYULF7pnbqJ+iN1eiIi8i9TTARAREQ1k8fHx+PLLL5GUlISamhrUG6zY+U0D4ofJ8I8j/RAe2P1f1VUNJvz9cjNKb9iLKYYMGYLCwkKMHz/eBdETUXcsW7YM06dPx4oVK1BYWAgAMJotOHVNi1PXtHc9LzExERkZGbyZiYiIiIhoAFOpVNi8eTMAoL6+HhcvXkRLSwt8fX0xatQorghP5CXau8BOmDABNTU10N++jUvHjuHhSZMglcl6Pb7JaMQPJ05Af/s2AHaBJSIiIiLqi0QiETIzMxEXF4e6ujqgvFwoUFiwAJC68Ba+9kKI8+cBACEhIcjMzOTrCaJeaO/2smTJEmFHbi7w8MNA2yKJbsFuL0RENuwMQURE5GHx8fEoKSmxrR4HAKU3jNh4XIcPTupw5GoLruha0Wq2djiv1WzFFV0rjlxtwQcnddh4XNehECI5ORklJSUshCDyAlzVlYiIiIiIeisoKAjx8fGYMmUK4uPjWQhB5GXu7AKrv30b5778EvU3b/Zq3PobN3Duyy9thRDsAktERERE1HeFh4cjLy8Pfn5+wo6zZ4Fdu4Sbml1Brwd27rStWq9QKJCXl4cRI0a4Zj6iAYTdXoiIvAc7QxAREXmBiIgIHDhwALt27cKaNWug1WoBABU6Eyp0woslsQgIlIkhEQNmC9BgtMBi7TxWcHAw3nvvPbz00ktczYHIy3BVVyIiIiIiIqL+684usKaWFvxw/DiCIyIQNmoU/NoKJbqjWadD9YUL0FZW2vaxCywRERERUd83bdo07Nu3D3PnzkVzc7PQIWLDBmDePGDMGOdNpNEIq8a33SytUCiwb98+TJs2zXlzEA1g7PZCROQ92BmCiIjIS4hEIrz88su4cuUKMjIyoFKpOjxvsQI6gwW3my3QGToXQsTFxSEjIwNXrlzByy+/zBc6RF6Oq7oSERERERER9T9ddYHVVlai/KuvcP7wYdReuoSm27dhMZs7nGcxm9F0+zZqL13C+f/9X5R/9VWHQgh2gSUiIiIi6j8SEhJQVFSEkJAQYUdDA/DRR8Af/wjcutW7wWtrhXGys22FECEhISgsLMT06dN7NzYRdcBuL0RE3oGdIfqw2tpaT4fQ53V1DXldnYPX1jV4XV3DG6/rvHnz8LOf/QxnzpzBqVOncPr0aZw5cwZ1dXUwGo2QyWQICQnB2LFjMW7cOEycOBFjx46FSCRCS0sLWlpaPBp/O2+8tv0Br6tr8Lq6Dq+ta/C6ugavIfUl/HrtPf4sdQ1eV9fhtXUNXlfX4bV1DV5X13DmdZXL5cjOzsaf/vQn/O53v4NOpwMA6G/fhv72beEgkQg+cjlEYjGsFgtaDQbA2rkNrFKpxL//+7/jl7/8JUQiEWpqah4oJk/i16xr8Lq6Bq8h9SX8eu09/ix1DV5X1+G1dQ1PXdeYmBh89dVXSE9PR1FRkbCztBT45hsgNhaYMgV47DFA3I21ji0W4PvvgWPHgHPnOry2SEhIwHvvvYdhw4a59fUEv15dh9fWNR70usbExCA7OxuLFy92e7eX7OxsxMTEeHWugF+vrsNr6xq8hn2TyGrtIrNKXqempgZhYWGeDoOIiIiIiGjAqa6uxpAhQzwdBg1wzAsQERERERF5BvMC5A2YFyAiGqDkciA83P7P3x+QSgGTCWhqAqqq7P8MBk9HS0R3io8HkpKAwYMffIzaWqCwUCiWIiKPYF7A+7EzBBEREREREREREREREREREREREZE3MRiAS5eEf0TU97ig2wsREXXGYggiIiIiIiIiIiIiIiIiIiIiIiIiIiJnslqFwobvv2e3FyIiF2ExBBERERERERERERERERERERERERERkauw2wsRkUuwGKIP+/bbbxEaGurpMPq02tpa/OhHP+qwj9fVOXhtXYPX1TV4XV2H19Y1eF1dg9fVdXhtXYPX1TW6uq5E3orf873Hn6WuwevqOry2rsHr6jq8tq7B6+oavK6uw2vrGryursG8APUl/J7vPf4sdQ1eV9fhtXUNXlfX4HV1HV5b13DVdTWbzfjiiy/w3//93ygpKUFVVdV9zwkPD8eECRPwwgsv4Mc//jEkEkmvYvCkvvr1ajab8fnnn+PPf/4ziouLce3atfueM2LECKjVavziF7/As88+6/L/t756bb0d8wJ9E4sh+rDQ0FAMGTLE02H0O7yursNr6xq8rq7B6+o6zri2VqsVxcXFOH78OE6dOoXS0lLU1tbCaDRCJpMhNDQU8fHxmDhxIiZPngy1Wg2RSOSkz8A78WvWNXhdXYfX1jV4XYkGFn7Puwavq2vwuroOr61r8Lq6DvMCrsGvWdfgdXUdXlvX4HUlGlj4Pe8avK6uwevqOry2rsHr6hq8rq7Da+sazrqu8+fPx/z58wEA1dXVKCkpgUajQVNTEwwGA+RyOfz9/aFSqaBWq/v9/6U3f73W1tZi+/btyMzMREVFRY/OvXbtGq5du4a8vDxERUUhNTUVKSkpbi1O8OZrS+RKLIYgIiKiPqOhoQF79+7F1q1bodFo7nrctWvXcObMGWRnZwMAVCoV0tLSsGDBAgQGBrorXCIiIiIiIiJyIuYFiIiIiIiIiIioLwsLC0NycjKSk5M9HQo5sFqt2L17N1atWgWdTtfxSbkcCA8HIiKAESMAf39AKgVMJqCpCbh2DaisBKqqAIMBAFBRUYF169bhnXfewcaNG7Fo0aJ+v1gLkSexGIKIiIi8ntVqxc6dO5Geng6tVtvpebEICJSJIRUDJgvQYLTAYrU/r9FokJaWhnXr1mHDhg14+eWX+SKDiIiIiIiIqI+4X14AIhF85HKIJBJYzWa0GgyA1Z4YYF6AiIiIiIiIiIiIulJVVYXU1FTk5+fbd4pEQGwsMHWq8FEsvvsAarXw0WIBzp0Djh4VPlqt0Gq1WLJkCT799FNkZWVhxIgRrv1kiAYoFkMQERGRV6usrERKSgoOHTrUYf/IYCnGD5MjMkiC4QFS+EjsNzG0mq243mjC1XozSq8bUKEzAQC0Wi2WLl2KnJwcbN++HREREW79XIiIiIiIiIioZ+6WF1AMGoSQ8HAoQkLgGxQEsURie85iNqOlvh76ujrUVVVBf/s2AOYFiIiIiIiIiIiIyO7IkSOYPXs26urq7Dvj44GkJGDw4J4NJhYDo0cL/27dAgoKgNJSAEB+fj5UKhXy8vIwbdo0J34GRASwGIKIiIi8WGlpKZKSklBTU2PbFz9MhqdH+mFE4N3/jPGRiPCQ0gcPKX0wLdIXVQ0m/P1yM0pvGAEAhw4dwoQJE1BQUID4+HiXfx5ERERERERE1HNd5QWCIyIQNmoU/JTKu54nlkigCAmBIiQEodHRaNbpUH3hArSVlQCYFyAiIiIiIiLqT+rr63HhwgUYDAbI5XKMGjUKQUFBng6LiLxcUVER5s6di+bmZmFHYCAwbx4wZkzvBx88GHjxRWDcOCA3F2hoQF1dHRISErBv3z4kJCT0fg4isrlH7xYiIiIizykpKcEzzzxju+EhSC7Cy+MD8WJc4D0LIboSHijFi3GBeHl8IILkQgeJmpoaPPPMMyhtq8ImIiIiIiIiIu9xZ15A6uuLhydPRpRafc9CiK74KZWIUqvx8KRJkPr6AmBegIiIiIiIiKgv02g0WLlyJWJjY6FUKqFWqzF16lSo1WoolUrExsZi5cqV0Gg0ng6ViLzQ119/3bEQIiYGSE93TiGEozFjhHFjYgAAzc3NmDt3Lo4cOeLceYgGOBZDEBERkdeprKxEcnIydDodAGBksBRrpgRj9BBZr8YdPUSGNVOCMTJYKKbQ6XRISkpCZdvKkERE91NfX4+SkhIcO3YMJSUlqK+v93RIRERERET9zp15AcWgQYh95hkEDR3aq3GDhg1D7DPPQDFoEADmBYio55gXICIiIiLyrIsXLyIpKQlxcXHYsmULysvLuzyuvLwcW7ZsQVxcHJKSknDp0iU3R0pE3qqqqgpz5syxF0KoVMBLLwEKhWsmVCiE8dsKLZqbmzF79mxcu3bNNfMRDUAshiAiIiKvYrVasXTpUtvKjyODpUiZEASFj3P+bFH4iJEyIchWEFFTU4OUlBRYrVanjE9E/Q9XliEiIiIicp878wKKQYMQPWUKpLLeLZDQTiqTIXrKFFtBBPMCRHQ/zAsQERFRf9Pc3IzKykr7TaBEfURWVhbGjh2LwsJC2z6JjwwRYyZi4k9ewrQXf4OJP3kJEWMmQuJjzyMUFhYiLi4O27dv90TYRORFrFYrUlNTUVdXJ+yIiQHmzwekUtdOLJUCCxbYOkTU1dVh2bJlzEkSOQmLIYiIiMir7Ny5EwUFBQCAILkIL40PhEwicuocMokwbpBcGPfQoUPYtWuXU+cgor6PK8sQEREREbmfY15A6uuLhydNgsTJb0ZKpFI8PGkSpL6+AJgXIKKuMS9ARERE/dGBAwcQHR2NyMhIREdH48CBA54Oiahb3nzzTaSmpkKv1wMAgodHYfY/b8Rrn1fhn/YcxbzXMzErfQPmvZ6Jf9pzFK99XoXZ/7wRwcOjAAB6vR7Lli3DW2+95clPg4g8bPfu3cjPzxc2AgPdUwjRTioV5gsIAADk5+djz5497pmbqJ9jMQQRERF5jYaGBqSnp9u2nx8d4LSOEHdS+Ijx/OgA2/aaNWvQ0NDgkrmIqO/pamUZmUSMx0cE41fxUXhl0iP4VXwUHh8RDJnE/nOKK8sQERERET24O/MCkePHO60jxJ2kMhkix42zbTMvQESOusoL+EiAmAgxkiZK8dNpUiRNlCImQgwfif085gWIiIjIm92+fRsLFy7EjRs3AAA3btzAokWLcPv2bQ9HRnRvWVlZeP31123bk55fhlc+LcXUF9LgG6js8hzfQCWmvpCGVz4txaTnl9n2r1+/HllZWS6PmYi8T21tLVatWmXfMW8eoFC4NwiFQpi3zapVq1BbW+veGIj6ITeVNBERERHd3969e6HVagEA8cNkGD3ENTc8tBs9RIb4YTKU3jBCq9Xi448/xvLly106JxF5vzfffLNDQjVK6Yf0qY9i4dhIKH19Oh2va2nFnjNXseHoeVTomm0ry9y8eROvvfaaO0MnIiIiIurTHPMCwRERCBo61KXzBQ0bhuCICGgrK5kXICKbO/MCYcEiPP+kD56Nl8Lft3MH26YWK74oNSHncCuqtVbmBYiIiMhr5eTkdCp8uHXrFnJzc5GSkuKhqIju7eLFi1i9erVt+7nfvoMnF7zS7fPligD8ZN0HGBz5CA68/y8AgNWrV2P69OmIjo52drhE5MW2b98OnU4nbMTHA2PGeCYQlUqYv7QUWq0WO3bswKuvvuqZWIj6CXaGICIiIq9gtVqxdetW2/bTI/3cMu8/OsyzdetWWK1Wt8xLRN7pzpVllqtHQpP2LFY+Ed1lIQQAKH19sPKJaGjSnsVy9Ujbfq4sQ0RERETUfXfmBcJGjXLLvI7zMC9ARHfmBWY+IUXmKj/MmeLTZSEEAPj7ijBnig8yV/lh5hP2deiYFyAiIiJvk5ub26P9RN4gLS0Ner0egNARoieFEI6eXLja1iFCr9djxYoVzgqRiPoAs9mMbdu2CRsiEZCU5NmAEhOFOABs27YNZrPZs/EQ9XEshiAiIiKvUFxcDI1GAwAYGSzFiED3NLAKD5QiSinMVVZWhpKSErfMS0Te586VZd5LVCFj1ngEyLr38yhAJkXGrPHYkGBfQWL16tW4dOmS02MlIiIiIupvHPMCikGD4KdUumVeP6USikGDADAvQDTQ3ZkXSHlOhl//RA4/eddFEHfyk4vw65/IkTLD3u2WeQEiIiLyFnV1dfjb3/7W5XNffPEF6urq3BwR0f2VlZWhsLAQABA8PAozXvlDr8ab8cofEDw8CgBQWFhoy0MQUf938OBBXLlyRdiIjQUGD/ZsQKGhQhwAKioqcOjQIc/GQ9THsRiCiIiIvMLx48dtj8cPk7t17vjh9vkc4yCigcVxZZnl6pH47ZQHW4l2zdRHbR0iuLIMEREREVH3OL4eDwkPd+vcjvMxL0A0cDnmBWY+IcW8f+i6Q+T9zHvSx9YhgnkBIiIi8hZ//etfYTKZunzOZDIhLy/PzRER3V9mZqbt8ZMLV0OuCOjVeHJFAJ5c+EqX4xNR/5adnW3fmDrVc4E4mjLF9vCjjz7yXBxE/YB7llwmIiIiuo9Tp07ZHkcGSdw6t+N8jnEQ0cDhuLJMlNIP7yaqejXeu4kqHLxwExW6ZtvKMipV78YkIiIiIurPHF+PK0JC3Dq3X3Bwl3EQ0cDhmBcICxZhqUN3hwexdIYM/1duRrXWyrwAEREReYXc3Nz7Pr9o0SI3RUPUPUVFRQAAiY8ME2bOd8qYE2YuwIH3/wXmVqNtfEfV1dUoLi7G2bNn0djYCKPRCJlMhoCAAIwZMwZqtRphYWFOiYWI3Me2AIpcbuvI4HGPPSbEYzDgxIkTno6GqE9jMQQRERF5hdLSUgCAWAQMD3DvnyjDA6QQiwCLFSgpKXHr3ETkHRxXfkmf+igCZL37ORQgk2LNlFH4zaEy2/ibN2/u1ZhERERERP1Ze14AIhF8g4LcOrefUgmIRIDVyrwA0QDlmBd4/kkf+MlFvRrPTy7CvH/wQcZ+o2185gWIiIjIU+rr61FQUHDPYwoKCtDQ0IDAwEA3RUV0b/X19SgvLwcADI8ZC99ApVPG9Q1UYtijcaj6thjl5eXQarU4fPgwdu/ejePHj6OysvK+Y0RERGDy5MlYvHgxZsyYAYnEvYs9ElHPVFdX27+3w8MBsdizAbUTi4V4Ll3C1atXUVNTgyFDhng6KqI+yUu+q4mIiGigq62tBQAEysTwkfTuzcae8pGIECgT/iy6deuWW+cmIu/QvvKLTCLGwrGRThlz0biHIJOIO4xPRERERERda88L+MjlELv5JgKxRAIfuRwA8wJEA1X763YfCfBsvHMWapk+QQofScfxiYiIiDwhPz8fRqPxnscYDAbk5+e7KSKi+7tw4YLt8bBH45w69vCYsQAAq9WKH/3oR5gzZw5ycnK6VQgBAJWVlcjJycHs2bPxyCOP4O2337blNYjI+xQXF9s3IiI8F0hXwsNtDzvESUQ9wmIIIiIi8grtCTiph/46abtfGQaDwTMBEJHHOK4sM25oEJS+Pk4ZV+nrg7FDhRVty8vL0dDQ4JRxiYiIiIj6o/a8gMhDqymK2laEY16AaOBxzAs8PFwMf1/nLNTi7yvCyGHCzxbmBYiIiMiTcnNznXockTs4vj6XK5zbsUTmF2B7fP36dfsTcjkQHQ089RTwwgvAr34FpKYKH194QdgfHS0c16aiogLr1q3Do48+iuzsbFitVqfGSkS9d/bsWfvGiBGeC6QrDsUQGo3Gg4EQ9W3OWdqEiIiIqJdkMhkAwGTxzPzmtnnlDokLIhoYHFeWGTvUOS12240bqsSpa1pYrVZcuHAB8fHxTh2fiIiIiKi/aM8LWM1mj8xvtQiJAeYFiAYex7zAw8Ocu1JL9HAxzldZmBcgIiIij9Hr9Th48GC3jj1w4AD0ej0UCoWLoyK6P8fX5wa9cwuLjc2NHXc89hgwdSoQGwuI7/GaQK0WPloswLlzwNGjwkerFVqtFkuWLMGnn36KrKwsjPC2G66JBrDGRofveX9/zwXSFYd4mpqaPBgIUd/GzhBERETkFUJDQwEADUYLWs3uXS2h1WxFg1G46WHw4MFunZuIPM9xZZlAmXPrxQNk9lVtW1panDo2EREREVF/0p4XaDUYYHFzQYTFbEZr2+sC5gWIBh7HvIDCyfVQfjL7Y+YFiIiIyBMOHToEvV7fab88IKjTPr1ej4KCAneERXRfo0aNsj2+cb7MqWNfLz9j31i9Wuj8MHr0vQshHInFwvG/+hXwL/8COBQ95+fnQ6VS4ciRI06NmYgeXHtHWgCA1MvWj3eIhx1riR4ciyGIiIjIK7SvimaxAtcbTW6d+3qjCZa2+osJEya4dW4i8jzHlWUajM79+dNotN/E5evr69SxiYiIiIj6E9tq6VYrWurr3Tp3s04HWIXEAPMCRAOPY15A7+T7Dpod7rdgXoCIiIg8IScnp8v9z636Q4+OJ3K3oKAgxMTEABCKF1oadE4Zt6VBZy+uGDIE6G0Hh8GDgRdfBJYsAQIDAQB1dXVISEhAUVFR78YmIqdo70gLADC5936k+3KIhx1riR4ciyGIiIjIK0ycONH2+Gq9e1eAdJzPMQ4iGhgcV5Y5c9M5idR2p9vGE4lEHeYhIiIiIqKOHF+P6+vq3Dp3s1bbZRxENDA4vl7/4YbFqWNfui6Mx7wAEREReYLBYMD+/fs77Q8ZMRITf/oygodHdXpu//79XJmavEZCQgIAwNxqREn+x04ZsyR/L8ytbVXLbcUWTjFmDJCebhuzubkZc+fOZYcIIi8QEBBg32hq8lwgXXGIx9/f34OBEPVtLIYgIiIirzB58mTb429uuDfBVnrdPl97HPX19SgpKcGxY8dQUlKCejevSklE7uO4sszpm/XQtbQ6ZVxdSyvO3BR+dsTExCCwbTUYIiIiIiLqzDEvUFdV5da5HedjXoBo4HHMC/xw3YKmFqtTxm1qseJyW3EF8wJERETkCUVFRWhoaOi0X/XsTyEWi6F69qednquvr8fnn3/ujvCI7mv58uW2x4f3vA+DvrFX4xn0jTi8Z6N9h0MuwikUCuCll4TCCAgFEbNnz8a1a9ecOw8R9ciYtu9JAIC3fT865CVVKpUHAyHq21gMQURERF5BrVbb/rC/rDXhWoN7WtNVNZhQoRPmevTRR7Fz507ExsZCqVRCrVZj6tSpUKvVUCqViI2NxcqVK6HRaNwSGxG5T/vKMkazBXvOXHXKmLtPX4HRbOkwPhERERERdc0xL6C/fRvNOud2bbubZp0O+tu3ATAvQDSQtb9ubzUDX5Q6Jy/5eYkJreaO4xMRERG5U25ubpf7x/xYKILoqhjiXucRuZtKpUJiYiIAQHu9Agc3vtqr8Q5ufBXa6xXCRkwMMGxYb0PsTCoFFiywdYioq6vDsmXLYLU6p+iaiHpOrVbbNyorPRdIVxyKITrESUQ9wmIIIiIi8goikQhpaWm27a8uN7tl3r87zHP+/Hls3boV5eXlXR5bXl6OLVu2IC4uDklJSbh06ZJbYiQi13NcWWbD0fNoNPbuxodGownvHbvQ5fhERERERNTZnXmB6gsX7nG08zjOw7wA0cDl+Lo953Armg29u1Gp2WBF7tf2zpPMCxAREZG7tba2Yt++fZ32Bw0Zgci4JwAAkXGTEDRkRKdj9u3bh9ZW53TRJuqtjIwMKBQKAMCJnCwc3vP+A41zeM/7OJGTJWz4+AA/+5mzQuxMKgXmzwcCAgAA+fn52LNnj+vmI6J7CgsLQ0REhLBRVQVYLJ4NqJ3FYiuGiIyMxJAhQzwcEHVXdXU1Dh48iA0bNuDf/u3fsG7dOvzbv/0bNmzYgIMHD6K6utrTIQ44LIYgIiIir7FgwQIEBwcDAEpvGPFdjdGl831XY0Tpjc5zyCRiPD4iGL+Kj8Irkx7Br+Kj8PiIYMgk9j+dCgsLERcXh+3bt7s0RiJyD8eVZSp0zVhb2LuVXtcWalChE4qtEhMTO7beJCIiIiKiLjnmBbSVlai/ccOl89XfuAFtF6vB+UiAmAgxkiZK8dNpUiRNlCImQgwfif0Y5gWI+hfHvEC11oodB3uXl9xx0IhqrVBQwbwAERERecKXX36Jurq6TvvH/PgnEIuF9zzFYjF+9MzcTsfcvn0bX331latDJOqW6OhovP++vQDiwPv/gs9+vxIGfWO3zjfoG/HZ71fiwPv/Yt85dy4weLCzQ+1IoQDmzbNtrlq1CrW1ta6dk4juavLkycIDgwE4d86zwbT7/nshHgCTJk3ycDB0L2azGXl5efj5z3+OyMhIDB06FM899xzWrl2Lf//3f8fbb7+Nf//3f8fatWvx3HPPYejQoYiMjMTPf/5z7N+/H2az2dOfQr8n9XQARERERO0CAwOxYcMGLF26FACQ810j1gQHQ+Hj/PpNfasFH5c1dNgXpfRD+tRHsXBsJJS+Pp3O0bW0Ys+Zq9hw9DwqdM3Q6/VYtmwZbt68iddee83pMRKRe2VkZCAuLg56vR7bii9j1CB/rJn6aI/Hee/oeWwrvgwAUCgUyMjIcHKkRERERET90515gaunTyN20CBIZTKnz2UyGlFRXNxhX1iwCM8/6YNn46Xw9xV1OqepxYovSk3IOdyKaq2VeQGifsYxL5B/0oQRg8WY92TnHOH95B5uRf5JoeMk8wJERETkKbm5uV3uV03vuBp+3PSf4fifO/+9kpubi4SEBJfERtRT7a+9X3/9dQBCh4hzRwrw5MJXMGHmAvgGKjud09KgQ0n+XhzesxHa6xX2J5KSAHfddKxSAfHxQGkptFotduzYgVdffdU9cxNRB4sXL0ZOTo6wcfQoMHq0ZwMCgGPHbA+XLFniuTjovp544glcvXq1R+dUVlYiJycHOTk5iIqKQmpqKlJSUhAaGuqiKAc2doYgIiIir/Lyyy8jOTkZAFBvsGLXNw0wmnvXlv5ORrMVm07oYHAovF2uHglN2rNY+UR0l4UQAKD09cHKJ6KhSXsWy9UjbfvXr1+PrKwsp8ZIRO5358oy6UVnsWL/N2g0mrp1fqPRhBX7v0F60Vnbvo0bNyI6OtrpsRIRERER9VeOeQFTSwt+OHECZlP3/ibvLrPJhPN//zssDuPOfEKKzFV+mDPFp8tCCADw9xVhzhQfZK7yw8wn7GtNMS9A1D/cmRfYftCIzZ8Z0GzoXm6y2WDF5s8M2O7QVYJ5ASIiIvIEs9mMzz77rNP+gEFhGDl+Wod9I+P/Af4hQzod+z//8z9cxZi8yvr165GZmQmFQgEA0F6vQN47q/HW9HB8sGAKct9IRd67a5D7Rio+WDAFb00PR947q+2FED4+wPPPA9OnuzfwxERAJOQZtm3bxu8rIg+ZMWMGoqKihI1z54BbtzwbUG2trUNFVFSULR9K3qlDIYRcDkRHA089BbzwAvCrXwGpqcLHF14Q9kdHC8e1qaiowLp16/Doo48iOzsbVqtz74MjFkMQERGRlxGJRNi+fTuGDBGSbpe1JmwvqYe+1eKU8fWtFmw5qcPtZvt47yWqkDFrPAJk3WuaFSCTImPWeGxIsLe3X716NS5duuSUGInIc5YtW4Y33njDtr2t+DJUW7/A5hMXoWtp7fIcXUsrNp+4CNXWL2wdIQDgzTffREpKiqtDJiIiIiLqV+7MC+hv38alY8dgMhrvc2b3mIxGXPj6axj1etu+lOdk+PVP5PCTd10EcSc/uQi//okcKTPsHSuYFyDqH+7MC+SfNCF1UzP2HW1FU0vXb1Q3tVix72grUjc12zpCAMwLEBERked8/fXXqK6u7rT/R0/PgVgi6bBPLJHgR0/P6XRsdXU1jhw54rIYiR7EsmXLUFZWhsTERNs+c6sRVd8W49Rnu3D0T5tx6rNdqPq2GOZWhzxCTAywZo37OkI4Cg0FYmMBCDfDHjp0yP0xEBEkEglSU1OFDasVKCjwbECFhUIcAJYvXw7JHb+fyXOuX7/eeadIBDz2GPDyy8AbbwArVgCzZwNqtbB/1Cjho1ot7F+xQjju5ZeF/W1FcVqtFkuWLMHs2bNx7do1N39m/Vv37vgjIiIicqOIiAgUFBTgmWeegU6nw2WtCe8d0+L50QEYPUR2/wHu4rsaI3K+a0S9w2puy9Uj8dspox5ovDVTH8WF203YVnwZer0eK1asQIGnXzARUa+tX78eQ4cOxerVq6HX61Gha8ZvDpUhvegsxg4NwrihSgTIJGg0mnH6pg5nbtbDaLYXWCkUCmzcuJE3PBARERERPaA78wL629hTFU0AAQAASURBVLdx7ssvETl+PIKGDn3gcetv3MDV06dhammx7Zv5hBTz/qHrDpH3M+9JH1y7ZUH+SRPzAkT9yJ15gWqtFRn7jdhx0IiRw8SIHi6GnwxoNgKXrltw+YYFrQ6LuzIvQERERJ6Wm5vb5f4xz/60y/2qZ3+K//ufD7sc56mnnnJqbES9FR0djYKCAmg0GmRmZqKoqAjl5eVdr7I9ejTw3HPAsGHuD9TRlCnA998DAD766CPMnDnTs/EQDVApKSl45513oNVqgdJSYNw4YMyY+57ndBqNMD+A4OBgLF261P0xUJeOHDmCWbNmddwZHw8kJQGDB/dsMLFY+D00erTQiaSgwPb/np+fD5VKhby8PEybNu0+A1F3sDMEEREReaX4+Hh8+eWXtpUg6w1W7PymAX8sa0BVg+k+Z3dU1WDCH8sasPObhg6FEFFKP7ybqOpVnO8mqhCl9AMAFBYWQqPR9Go8IvIOXa0sYzRbcOqaFh+WVmDTiUv4sLQCp65pOxRCJCYmoqysjDc8EBERERH10p15AVNLC344fhwVxcVo1ul6NFazToeK4mL8cOJEh0KIsGARls548EUXAGDpDBnCgoWVvZgXIOo/usoLtJqB81UWFJwy4bOjJhScMuF8VcdCCOYFiIiIyNMsFkuXxRB+QSF4ZOLTXZ4T/fjT8A0M7rQ/NzcXFoul8wlEXkClUmHz5s34/vvvodVqUVJSgqNHjyIsLEw4QC4HlizxfCEEIKwKLpcDAE6cOOHhYIgGrtDQUGzcuNG+IzcXcOge6xZ6vTBvm02bNiE0NNS9MVCXioqKkJCQIBTLAEBgoPB75MUXe14IcafBg4VxliwRxgVQV1eHhIQEFBUV9W5sAsBiCCIiIvJi8fHxKCkpQXJysm1f6Q0jNh7X4YOTOhy52oIrula0mjuu8tBqtuKKrhVHrrbgg5M6bDyuQ+kN453DI33qowiQ9a5RVoBMijUOnSUyMzN7NR4ReY/2lWXKysqwcuVKxMbGQtTWvrCdSCRCbGwsVq5cCY1Gg4KCAkRHR3soYiIiIiKi/qWrvIC2shLlX32F84cPo/bSJTTdvg2L2dzhPIvZjKbbt1F76RLO/+//ovyrr6CtrOw0/vNP+sBPLuq0vyf85KIOnSWYFyDqP5gXICIior7oxIkTuHbtWqf9o/9xFiQ+XXfFk/rIMPofZ3XaX1VVhZMnTzo9RiJnCwoKQnx8PB555BFUV1cLO8PDhVW5vYFYLMQD4OrVq6ipqfFwQEQD16JFi+zdWRoagI8/Bkw9W5D1gZlMwN69QGMjAGDWrFlYuHChe+ame/r6668xd+5cNDc3CztiYoD0dOd3DhkzRhg3JgYA0NzcjLlz5+LIkSPOnWcA6t3df0REREQuFhERgQMHDmDXrl1Ys2aNrQK3QmdChU54QSIWAYEyMSRiwGwBGowWWLroghkcHAy5XI6bN29CJhFj4dhIp8S4aNxDSC86C6PZwopdon6ofWUZAKivr8fFixfR0tICX19fjBo1CoFtlfs08NTX1+PChQswGAyQy+UYNWoUgoKCPB0WERERUb9yt7yA/vZt6G/fFg4SieAjl0MkFsNqsaDVYACsnRMDjnkBHwnwbLxz3iKZPkGKHQeNaDWDeQGifoh5Abob5gWIiMgbddUVAgBUz/7snufFPfszlO7f2+V4kydPdkpsRK5WXFxs34iI8FwgXQkPBy5dAiDE6bjwAxG5j0gkQmZmJuLi4lBXVweUlwsFCgsWAFIX3k7dXghx/jwAICQkBJmZmZ0WXSD3q6qqwpw5c+yFECoVMH++674eFArgpZeEr4ezZ9Hc3IzZs2dDo9FgxIgRrplzAPCS8keizpqbm1FZWWn/IUNERAOWSCTCyy+/jCtXriAjIwMqlarD8xYroDNYcLvZAp2hcyFEXFwcMjIyoNFocPPmTQDAuKFBUPp2vfpJTyl9fTB2qPAmV3l5ORoaGpwyLhF5n/aVZaZMmYL4+Hje8DAAaTQa24qgSqUSarUaU6dOhVqthlKp7LAiKBH1DvMCRETU7n55AVitaG1pgVGvR2tLS6dCiK7yAg8PF8Pf1zlvNvr7ijBymPB2C/MCRP0b8wLEvAAREXkzq9XaZTGE3D8Qj06efs9zR02eDpkioNP+3NxcWLsoNifyRmfPnrVveNsNpW2dIQDwb0UiDwsPD0deXh78/PyEHWfPArt2AXq9aybU64GdO4V5ACgUCuTl5fHGdy9gtVqRmpoqFMYAQscGVxZCtJNKhQKctg4RdXV1WLZsGf/m6gUWQ5BXOnDgAKKjoxEZGYno6GgcOHDA0yEREZEXCAwMxPLly3HmzBmcOnUKH3zwAZYsWYKxY8ciPDwcoaGhCA8Px9ixY7FkyRJ88MEHOHXqFE6fPo3ly5fbbngAgLFDlU6NbVzbeFarFRcuXHDq2ERE5HkXL15EUlIS4uLisGXLFpSXl3d5XHl5ObZs2YK4uDgkJSXhUtsqP0TUM8wLEBFRV5yZF3h4mHPfHokeLozHvAARUf/EvAAREfUFpaWluHz5cqf9jz35HKQy+T3P9ZH74rEnn+u0/4cffsA333zjpAiJXKuxsdG+4e/vuUC64hBPU1OTBwMhIgCYNm0a9u3bZy+IKC8HNmywFSw4jUYDvPuurSOEQqHAvn37MG3aNOfOQw9k9+7dyM/PFzYCA91TCNFOKhXmCxCKUfPz87Fnzx73zN0Puel/jaj7bt++jYULF+J2W4vzGzduYNGiRSgvL8egQYM8HB0REXkDkUgEtVoNtVrdo/MMBoPtcaDMuX8GBcgktsctLS1OHZuIiDxr9+7deP3116F3WA1EJhFj3NAgjB2qRKBMigajCWdu6nD6Zj2MZgsAoLCwEHFxcdi4cSNSUlI8FT5Rn8O8ABER3Y8z8gKKe98H1GN+Mvtj5gWIiPqXrvICPhKhy9DDw8RQyAG9AfjhhgU/XLeg1Swcw7wAERG5W05OTpf7Vc/+tFvnq579Kc4U/LnLcePj43sVG5E7GI1G+4a7bmbtLod4HPMTROQ5CQkJKCoqwuzZs4XOAA0NwEcfAfHxQFISMHjwgw9eWwsUFgKlpbZdISEhyMvLYyGEl6itrcWqVavsO+bNAxQK9wahUAjzZmcDAFatWoXnnnsOoaGh7o2jH/Cy3/pEwouo9hse2t26dQu5ublMFBIRUa/I5fY7HRqMJqeO3Wg02x77+vo6dWwiIvKs9PR02+MopR/Spz6KhWMjofT16XSsrqUVe85cxYaj51Gha4Zer8eyZctw8+ZNvPbaa+4Mm6jPYl6AiIhcxTEvoHfyfQfNDvdbMC9ARNS/OOYFwoJFeP5JHzwbL4W/r6jTsU0tVnxRakLO4VZUa63MCxARkdtYrVbk5uZ22u/j64eYqUndGiN2WjJ8fP3Q2tLcYX9ubi7eeustiESdf/cReROZzGGlApNz7wfoNYd4HPMTRORZ06ZNQ1lZGVJTU+0dAkpLgW++AWJjgSlTgMceA8Td6DJrsQDffw8cOwacOwdYrbanZs6ciaysLIwYMcI1nwj12Pbt26HT6YSN+HhgzBjPBKJSCfOXlkKr1WLHjh149dVXPRNLH+bcPtBETtDVi7N77SciIuquUaNG2R6fualz6tin28YTiUQd5iEiov5juXokNGnPYuUT0V0WQgCA0tcHK5+IhibtWSxXj7TtX79+PbKystwUKVHfxrwAERG5iuPr9R9uWJw69qXrwnjMCxAR9V8zn5Aic5Uf5kzx6bIQAgD8fUWYM8UHmav8MPMJ+7qEzAsQEZGrnT17FuXl5Z32x05LhszPv1tjyPz8uyycOHfuHL799ttex0jkagEBAfaNpibPBdIVh3j8/bv3PUlE7hEeHo68vDx89NFHUCqVwk6rVShs2LULeP11ICMD+OtfgeJiYf+FC8LH4mJhf0aGcNyuXcL+tkKI4OBgZGdnIy8vj4UQXsRsNmPbtm3ChkgkdALxpMREIQ4A27Ztg9lsvs8JdCd2hiCvUldXh7/97W9dPvfFF1+grq4OISEhbo6KiIj6i6CgIMTExKC8vBynb9ZD19J615tZe0LX0oozN+sBADExMQgMDOz1mERE5F3eS1Tht1O6f1NbgEyKjFnjMWqQP9KLzgIAVq9ejenTpyM6OtpVYRL1ecwLEBGRKznmBX64bkFTi/WuN7P2RFOLFZfbiiuYFyAi6p9SnpNh3j90P5fsJxfh1z+RY8RgMbYfFNoHMS9ARNS/mc1m/P73v8f+/ftRV1fnsjnuNHnyZEgkEtTX13d5zphnf9qjOVTP/hRn//ZZp/3PPvssgoKCejSWM4SEhGDWrFlYt24dJBKJ2+envmWM46re164BarXngrlTVZXtoUql8mAgRNQVkUiExYsXY+bMmdixYwe2bduGiooK4UmDAbh0SfjXTVFRUVi+fDmWLl2K0NBQF0VND+rgwYO4cuWKsBEbCwwe7NmAQkOFOL7/HhUVFTh06BBmzpzp2Zj6GBZDkFf561//CtNd2pSZTCbk5eVh0aJFbo6KiIj6k4SEBJSXl8NotmDPmatY+UTv33jaffoKjGaLbXwiIupflqtH9qgQwtGaqY/iwu0mbCu+DL1ejxUrVqCgoMDJERL1H8wLEBGRq7XnBVrNwBelJsyZ0vtFEj4vMaHVbB+fiIj6l5lPSHtUCOFo3pM+uHbLgvyTJuYFiIj6udWrV2Pz5s1un/fSPW7MlPjI8Ng/PNej8R57ciYkPjKYW40d9t+8eRM3b958oBh76+TJk6itrcWmTZs8Mj/1HWrH4ofKSs8F0hWHYgi1NxVpUJ9TXV2N4uJinD17Fo2NjTAajZDJZAgICMCYMWOgVqsRFhbm6TD7rNDQULz66qtYu3YtDh48iOzsbJw4cQJXr16977mRkZGYNGkSlixZguTkZBbxebHs7Gz7xtSpngvE0ZQpQlcRAB999BGLIXqIxRDkVXJzc+/7PG96IOo9U0sLbp89i0FjxkDq6+vpcIjcavny5diyZQsAYMPR81gy/iEEyB78T6JGownvHbvQYXwiIuo/opR+eDexdyv0vJuowsELN1Gha0ZhYSE0Gg1X/SG6C+YFiNyDeQEayBzzAjmHW5EwQQo/+YN3h2g2WJH7dWuH8YmIqP8ICxZh6QxZr8ZYOkOG/ys3o1prZV6AiKifMpvNHW+q8xKPTp4O34CedXPwDQjCqEnTce7rAy6K6sFkZ2fj/fffh1gs9nQo5MXCwsIQERGByspKofjAYgG84WvGYrEVQ0RGRmLIkCEeDoj6ErPZjAMHDmD37t04fvy48PV9HxEREZg8eTIWL16MGTNm8Kb8ByCRSDBr1izMmjULgFCEUlJSAo1Gg6amJhgMBsjlcvj7+0OlUkGtVvN7uw85fvy48EAuFzoyeIPHHhPiMRhw4sQJT0fT53jBb3siQX19/X1XQikoKEBDQ4ObIiLqv46kp+PzRYtwdO1aT4dC5HYqlQqJiYkAgApdM9YWano13tpCDSp0zQCAxMTEjq03iYioz0uf+miviuYAIEAmxRqHzhKZmZm9DYuoX2JegMh9mBeggcwxL1CttWLHQeN9zri3HQeNqNZaATAvQETUHz3/pE+viuYAwE8u6tBZgnkBIqL+RyKRwM/Pz9NhdKKa/rMHOi8u4cHOcyU/Pz8WQlC3TJ48WXhgMADnznk2mHbffy/EA2DSpEkeDob6itraWrz99tt45JFHMGfOHOTk5HSrEAIAKisrkZOTg9mzZ+ORRx7B22+/jdraWhdH3L+FhYUhOTkZ6enp+N3vfoff//73+N3vfof09HQkJyezEKIPqa6utn8vhYd7R9EcIMQRHg4AuHr1KmpqajwcUN/iJf+LREB+fj6Mxnu/8WQwGJCfn++miIj6J/2NG6j68ksAQOXf/ga9h1pZEnlSRkYGFAoFAGBb8WW8d/T8A43z3tHz2FZ8GQCgUCiQkZHhrBCJiMgLyCRiLBwb6ZSxFo17CDKJ8BK8qKjIKWMS9TfMCxC5B/MCRB3zAvknTcg93HqfM7qWe7gV+SdNAJgXICLqj3wkwLPxvVsgod30CVL4tC3GyrwAEVH/9Nvf/tbTIXQw9JEfYVzyCw907rjkFxAWPdrJEfXO6tWrPR0C9RGLFy+2bxw96rlAHB07Znu4ZMkSz8VBfYLVakV2djZGjRqFdevWoaKiwv6kXA5ERwNPPQW88ALwq18BqanCxxdeEPZHRwvHtamoqMC6devw6KOPIjs7G1ar1QOfFZH3KC4utm9ERHgukK60FUMAd8RJ9+Wc7A2RE+Tm5nb7uBdeeLAXbEQEXP3ii47bn3+O2PnzPRQNkWdER0fj/fffR2pqKgAgvegsLtxuwruJqm6t/t1oNGFtocZWCAEAGzduRHR0tKtCJiIiN3FccX7c0CAofX3ucXT3KX19MHZoEE5d06K8vBwNDQ0IDAx0ythE/QXzAkTuwbwAUee8wPaDRly7ZcHSGbJurf7dbBA6SrQXQgDMC5DrWa1WFBcX4/jx4zh16hRKS0tRW1sLo9EImUyG0NBQxMfHY+LEiZg8eTLUajVEot6tZk80EDnmBR4eLoa/r3O+j/x9RRg5TIzzVRbmBYiI+qm1a9fCYrHgtddeg9lsvuexoVGPYnDkqHse86DEYjGGxYzFkwtXQ+oje6AxpD4yLN/1dxze8z5ulJ+BxWJxcpSC2ivncevKhXvHIpXirbfewlp2t/S46upqFBcX4+zZs2hsbLS9FgkICMCYMWOgVqsRFhbm6TAxY8YMREVFCTeQnzsH3LoFDB7suYBqa20dKqKiopCcnOy5WMjrVVVVITU1teOiUCIREBsLTJ0qfLzXKvZqtfDRYhG+7o4eFT5ardBqtViyZAk+/fRTZGVlYcSIEa79ZIi81NmzZ+0b3vZ94FAModFo+DujB1gMQV5Br9fj4MGD3Tr2wIED0Ov1tpW7iKhnrt6x4tDVoiLe9EAD0rJly3Dz5k28/vrrAIQOEQcv3MSaKaOwaNxDXd78qmtpxe7TV/DesQuo0DXb9r/55ptISUlxW+xEROQ6P/zwg+3x2KFKp449bqgSp65pYbVaceHCBcTHxzt1fKK+jHkBIvdhXoBIcGdeIP+kCf9Xbsa8f/DB9AnSLm9+bWqx4vMSE3K/bkW11r6KHvMC5EoNDQ3Yu3cvtm7dCo1Gc9fjrl27hjNnziA7OxsAoFKpkJaWhgULFvCGa6IecMwLPDzsHjcZPYDo4UIxBPMCRET9k0gkwquvvoqnn34aL774YoffKXfS3riKf5i/Ck/MS/HaAla/wGAkpv27S8a2Wq04kZOF/P937wKHhx9+GH/6058wadIkl8RB92Y2m3HgwAHs3r0bx48fR2Vl5X3PiYiIwOTJk7F48WJMnDjRDVF2JpFIkJqainXr1gFWK1BQALz4okdiAQAUFgpxAFi+fDkkEonnYiGvduTIEcyePRt1dXX2nfHxQFJSzwt6xGJg9Gjh361bwvdBaSkAoUu3SqVCXl4epk2b5sTPgKhvaGxstG/4+3sukK44xNPU1OTBQPoeFkOQVzh06BD0en2n/b5SEVpMHVsz6fV6FBQU4Kc//am7wiPqN1pu3ULNHS2UaoqL0XL7NnwHDfJQVESes379egwdOhSrV6+GXq9Hha4ZvzlUhvSisxg7NAjjhioRIJOg0WjG6Zs6nLlZD6PZvvKJQqHAxo0becMDEVE/YjAYbI8Du9EtqCcCZPYEd0tLi1PHJurrmBcgcg/mBYg6ujMvUK21ImO/ETsOGjFymBjRw8XwkwHNRuDSdQsu37Cg1WGBV+YFyJWsVit27tyJ9PR0aLXazgeIRPCRyyGSSGA1m9FqMNhusAGE1ePS0tKwbt06bNiwAS+//LLX3mhH5E0c8wIKuXPH9nNYnJt5ASKi/mvy5MkoLS3FihUr8Kc//anLY0yGFnz2+5U4f/xz/Gz9NiiUA+c1uV53G395IxVnv9x3z+N++ctfIiMjA0qlcxctovurra3F9u3bkZmZKXRX6IHKykrk5OQgJycHkZGRLorw/lJSUvDOO+8Ir6VKS4Fx44AxY9wfiEZjuwE9ODgYS5cudX8M1CcUFRVh7ty5aG5uW5QzMBCYN885X7eDBwsFQePGAbm5QEMD6urqkJCQgH379iEhIaH3cxD1IUaj0b4h9bJb6B3iccxP0P152f8kDVQ5OTld7p/5qAK533WucMrJyeFND0QPoPKLL2C9o4Wl1WJB5RdfYNTPf+6hqIg8a9myZZg+fTpWrFiBwsJCAIDRbMGpa1qcuqa963mJiYnIyMhAdHS0myIlIiJ3kMvtdzo0GE1OHbvRaL9zztfX16ljE/V1zAsQuQfzAkSddZUXaDUD56ssOF9luet5zAuQK1VWViIlJQWHDh3qsF8xaBBCwsOhCAmBb1AQxA4rilrMZrTU10NfV4e6qirob98GAGi1WixduhQ5OTnYvn07IiIi3Pq5EPU1jnkBvZPvO2h2uN+CeQEiov5NqVTi448/RmJiIlauXHnXlX3P/u0zVJ49hV+8lY2H1U+6OUr3+6H4MP77tcXQ3bx7hwF/f39s2bIFixYtYjGvm1mtVuzevRurVq2CTqfr+KRcDoSHAxERwIgRwsrVUilgMgFNTcC1a0BlJVBVBbTdvHn16lUPfBaC0NBQbNy4EUuWLBF25OYCDz8MuLPbsF4vzNtm06ZNCA0Ndd/81Gd8/fXXHQshYmKA+fOd//U6ZozwffDxx0B5OZqbmzF37lwUFRWxQwQNKDKZw0oFJufeD9BrDvE45ifo/lgMQR5nMBiwf//+TvtDfMV4IlyOv/3QjLqWjm867d+/HwaDgd/wRD10paioy/1Xi4p40wPdk9VqRXFxMY4fP45Tp06htLQUtbW1MBqNkMlkCA0NRXx8PCZOnIjJkydDrVb3qeRUdHQ0CgoKoNFokJmZiaKiIpSXl8PqsJqeSCRCTEwMEhISsHz5cozxxMoRRA7q6+tx4cIF299Eo0aNQlBQkKfDIurzHn74YdvjMzd19ziy5063jScSiTBq1Cinjk3UlzEvQOQ+zAsQdY15AfImpaWlSEpKQk1NjW1fcEQEwkaNgt89VsUVSyRQhIRAERKC0OhoNOt0qL5wAdpK4UazQ4cOYcKECSgoKEB8fLzLPw+ivsoxL/DDjbsXxT2IS9eF8ZgXICIaGEQiEZYsWYIpU6bgl7/8JUrbVoe/k+5mJbanJuDHS9fhmaXrIPG2FYqdwGwy4W/b/wNffvh2p0UaHMXHx+OTTz5BTEyMG6MjAKiqqkJqairy8/PtO0UiIDYWmDpV+CgW330AtVr4aLEA584BR48KH60du/7euHEDQ4YMccFn0NmiRYvw6aefCp9TQ4NwA/hLL7lnFXCTCdi7F2hsBADMmjULCxcudP281OdUVVVhzpw59kIIlUoohHDV16lCIXwf7N0LnD2L5uZmzJ49GxqNBiNGjHDNnEReJiAgwL5xl4JVj3GIx9/f34OB9D397y9o6nOKiorQ0NDQaX/cUBnEIhHiwmT43ysdW8XW19fj888/x8yZM90VJlGfZ9BqcfPkyS6fu3HiBIw6HWRsMUl3aGhowN69e7F161ZoNJq7Hnft2jWcOXMG2dnZAACVSoW0tDQkJye7K1SnUKlU2Lx5MwDhd83FixfR0tICX19fjBo1CoGBgR6OkAY6jUaDbdu22W7MuZPjjTkqlcoDERL1fY4/60/frIeupRVKX59ej6tracWZm/UAhO9V/k4hsmNegMg9mBcguj/mBcjTSkpK8OMf/9i2CqvU1xeR48cjaOjQHo/lp1QiSq1GSHg4rp4+DVNLC2pqavDMM8/gyy+/ZEEE0V04/qz/4boFTS1W+Pv2fuGfphYrLrcVVzAvQEQ0sMTGxuLYsWP413/9V7z//vtdHmO1WPBF1lu4ePJL/OI/shE8/CE3R+k6ddcq8N+vLUbFN0fvedxvf/tb/P73v+fiJx5w5MgRzJ49G3V1dfad8fFAUhIweHDPBhOLgdGjhX+3bgEFBYBDIdBTTz2F/fv3u2UVepFIhMzMTMTFxQmfW3m5cAP4ggWuLYhoL4Q4fx4AEBISgszMzD61mCS5h9VqRWpqqv17r70jhKsLdqRS4ftg1y6gvBx1dXVYtmwZ8vLy+HVKA0KHRW6uXbMX9HmDqirbQ97z0zMshiCPy3VoCeYoLkxoRxM3tPNND+3n8aYHIkF9RQXKNm+G4c5WhQ6MOh2sd2ntZDWZ8LeUlHve9CBXKhH3618jKCqq1/GS97Nardi5cyfS09Oh1Wo7PS8WAYEyMaRiwGQBGowWWBwWddBoNEhLS4OyD99IExQUxDeFyWtcvHgRaWlpKCwsvOdx5eXlKC8vx5YtW5CYmIiMjAxER0e7KUqi/sdotmDPmatY+UTvv492n74Co1m46SEhIaHX4xH1J8wLEPUe8wJEzse8ALlbZWUlkpOTbYUQikGD8PCkSZDKZL0aN2jYMMQOGoQfTpyA/vZt6HQ6JCUloaSkBBEREc4InajfajUDX5SaMGdK7xdJ+LzEhFaz8Jh5ASKigUcul+P//b//h+nTp2PJkiUduoA5uvzNEWx6YSLmvb4Nqmd/5uYonU/zxV+Q+8ZytDRo73rMkCFDkJ2djRkzZrgvMLIpKirC3Llz7avSBwYC8+YBzuiGOHgw8OKLwLhxQG4u0NAArVaLhIQE7Nu3zy1/E4WHhyMvLw8JCQnC53j2rHAD+Pz5wgr5zqbXdyiEUCgUyMvL6/WK+9XV1SguLsbZs2fR2NjY5T0c1Pfs3r3b3o0lMNA9hRDtpFJhvnffBRobkZ+fjz179mDRokXumZ/Ig9SOxQ9tHVW9hkMxhNqbijT6ABZDkEe1trZi3759nfYHyUV4SCl8eT6klCJILkK9oWPrtH379qG1tRU+Pr1PQBL1dd9mZaHi4MFejXH77Nn7HiORyzH5P/6jV/OQ96usrERKSgoOHTrUYf/IYCnGD5MjMkiC4QFS+EjsFeGtZiuuN5pwtd6M0usGVOiEG2x097gRh4i6JysrC6tXr4Zer7ftk0nEGDc0CGOHKhEok6LBaMKZmzqcvllvu9m6sLAQcXFx2LhxI1JSUjwVPlGft+HoeSwZ/xACZA/+8rnRaMJ7xy7YtpcvX+6M0Ij6BeYFiJyDeQEior7NarVi6dKltpviFIMGIXrKFEicdBOEVCZD9JQpuHTsGPS3b6OmpgYpKSk4cOAAV30kuo+cw61ImCCFn/zBv1eaDVbkft1q22ZegIho4Hruuedw+vRpLFq0CJ9//nmXx7Q0aPHx2hfwxLwUzPztu5D5ueCGbRczNuuR/146Tv5lxz2PS0hIwO7duzFs2DA3RUaOvv76646FEO2r0ju7SGDMGODhh4GPPwbKy9Hc3Iy5c+eiqKjILR0ipk2bhn379tk/1/JyYMMG5xV9tNNohKKPxkYAQiHEvn37HuhzNJvNOHDgAHbv3o3jx4+jshs3644fPx5Tp07F4sWLMWPGDEgkkh7PS+5TW1uLVatW2XfMm+eaAp17USiEebOzAQCrVq3Cc889h9DQUPfGQeRmYWFhiIiIEH62VlUBFovQ2cjTLBZbMURkZCSGDBni4YD6Fi/4H6SB7Msvv+zYZq1NXJgc4rYEvFgkgiqs88pHt2/fxldffeXqEIn6hBFPPQW4+k0rkUiYh/q10tJSTJgwoUMhRPwwGVZPVuKfHldiWqQvHlL6dCiEAAAfiQgPKX0wLdIXK59Q4pXJSsQP692qdUQEvPnmm0hNTbUVQkQp/bB5xlhUp8/AyZSnsWNOPN5PjsOOOfE4mfI0qtNnYPOMsYhS+gEA9Ho9li1bhrfeesuTnwZRn1aha8baQk2vxlhbqEGFTngzITExsWPrTaIBjnkBIudgXoDcrb6+HiUlJTh27BhKSkpQX1/v6ZCI+rSdO3eioKAAACD19cXDkyY5rRCinUQqFTpN+PoCAA4dOoRdu3Y5dQ6i/qhaa8WOg8ZejbHjoBHVWqG4m3kBIiIaPnw4CgoK8J//+Z+Q3uNvvpO527Fl4RTcOF/mxuh673r5GWxZOOWehRBSqRTvvPMODh06xEIID6mqqsKcOXPshRAqFfDSS667GVuhEMZv+zuoubkZs2fPxrVr11wz3x0SEhJQVFSEkJAQYUdDA/DRR8Af/wjcutW7wWtrhXGys22FECEhISgsLMT06dN7OFQt3n77bTzyyCOYM2cOcnJyulUIAQDXrl1DTk4OZs+ejUceeQRvv/02amtre/zpkHts377dvrhofLxzC3N6QqUS5geg1WqxY8e9i9iI+ovJkycLDwwG4Nw5zwbT7vvvhXgATJo0ycPB9D0shiCPys3N7XJ/3B03OYwNk/fofKKB5qGkJPx4xw74hYW5ZHy/sDA8++GHeCgpySXjk3coKSnBM888Y1uBLkguwsvjA/FiXCBGBPbszdfwQClejAvEy+MDEXTHilllZX0rYUfkKVlZWXj99ddt28vVI6FJexYrn4iG0rfrFbCVvj5Y+UQ0NGnPYrl6pG3/+vXrkZWV5eqQifqtbcWX8d7R8w907ntHz2Nb8WUAwipAGRkZToyMqO9jXoDIOZgXIHfQaDRYuXIlYmNjoVQqoVarMXXqVKjVaiiVSsTGxmLlypXQaHpXSEo00DQ0NCA9Pd22HTl+PKQy1ywyIpXJEDlunG17zZo1aGhocMlcRP1J/kkTcg+33v/ALuQebkX+SaGTMvMCRETUTiwW45//+Z9x5MgRREdH3/W46kvfYcvCqTj2522wWq13Pc4bWK1WHPvvDGxdNA3Vl76763GPPPIIjh49irVr10LsDaswD0BWqxWpqan2RWraO0I4uSC7E6kUWLBAmA9AXV0dli1b5rav7WnTpqGsrAwzZ8607ywtBf7zP4EPPwS+/VZYlbs7LBbh+A8/BN55RxinzcyZM6HRaHrUEcJqtSI7OxujRo3CunXrUFFRYX9SLgeio4GnngJeeAH41a+A1FTh4wsvCPujo4Xj2lRUVGDdunV49NFHkZ2d7fU/PwYas9mMbdu2CRsiEeDpnGtiom2hnW3btsFsNns2HiI3WLx4sX3j6FHPBeLo2DHbwyVLlngujj7KxX/FEN2d2WzGZ5991ml/gEyEh0M6fmk+HCKFv48ITa0d/zj7n//5H2zZsoWtvYgADJs8GTP+8heceO01VDlxddTwp5/GpLfegm97hTz1S5WVlUhOTrZVno8MluKl8YFQ+PQuATV6iAxrgoOx65sGXNYKb/j84he/QGlpKSIiInod90BgtVpRXFyM48eP49SpUygtLUV1dXWn4z788ENMnz4darUaIlevCEsud/HiRaxevdq2/V6iCr+dMqrb5wfIpMiYNR6jBvkjvegsAGD16tWYPn36PZPqRHR36UVnceF2E95NVCFAdv+X0o1GE9YWamyFEACwceNGfg8SOWBegMi5mBcgV7l48SLS0tJQWFh4z+PKy8tRXl6OLVu2IDExERkZGQgMDHRTlP0X8wL93969e6HVagEAwRERCBo61KXzBQ0bhuCICGgrK6HVavHxxx9j+fLlLp2TqD/YftCIa7csWDpDBj/5/X/ONhuEjhLthRAA8wJERNTZE088gdLSUqxYsQJ//OMfuzzGZDTgr3/4DS4cL8LPXs+Cf/BgN0d5f03aW/jLG8vw7Vd59zxu/vz52Lp1K4KCgtwUGXVl9+7dyM/PFzYCA91TCNFOKhXme/ddoLER+fn52LNnDxYtWuSW6cPDw5GXl4fdu3dj1apVwv0RVquwGvf33wsFBeHh9n/+/kLMJhPQ1ARUVdn/ta3e3S44OBibNm3CwoULe/S6vKqqCqmpqfb/E0C4MT02Fpg6Vfh4r8IhtVr4aLEIq5sfPSp8tFqh1WqxZMkSfPrpp8jKysKIESN6crkGhOrqahQXF+Ps2bO4efNmp+dramowZMgQp8558OBBXLlyRdiIjQUGe/jnemioEMf336OiogKHDh3qWDRE1A/NmDEDUVFRQvHZuXNClyBPfi/W1to6VERFRSE5OdlzsfRRLLElj/n666+7fNNmzBAZxHf8USgWiaAK67wSUnV1NY4cOeKyGIn6Gt+QEDz1wQdQr1sHcS9XDxPLZFCvW4enPviANzz0c1arFUuXLrV1hBgZLEXKhKBeF0K0U/iIkTIhCCODhQRKbW0tUlJSuPrAfTQ0NCAjIwNjx47F448/jl//+tfIzs7GmTNncOPGjU7H/+u//isef/xxjB07FhkZGVzVr49LS0uDXq8HIHSE6EkhhKM1Ux+1dYjQ6/VYsWKFs0IkGpC2FV+GausX2HziInQtXa8IqWtpxeYTF6Ha+kWHQog333wTKSkpboqUqG9gXoDI+ZgXIGfLysrC2LFjOxRC+EiAmAgxkiZK8dNpUiRNlCImQgwfh7q0wsJCxMXFYc+ePR6Iun9gXmBgsFqt2Lp1q207bNSDvf7vKcd5tm7dyjwdUTflnzQhdVMz9h1tRVNL1983TS1W7DvaitRNzR0KIZgXICKiuwkKCsLevXuRnZ0Nf3//ux737Vd5+K8XJuJS8f+6Mbr7u3Tq7/ivFybesxAiICAAu3fvxt69e1kI4WG1tbVYtWqVfce8eYBC4d4gFAph3jarVq1CbW2t26YXiURYvHgxLly4gLfffhtRUVH2Jw0G4NIl4PBh4JNPhM4PmZnCx08+EfZfutShECIqKgpvv/02zp8/j0WLFvWoEOLIkSOIi4vrWAgRHw/8y78InR9Gj753IYQjsVg4/le/Es6Pj7c9lZ+fD5VKxVw6hEWa8vLy8POf/xyRkZEYOnQonnvuOaxduxYbNmzodPyYMWMQGRmJn//859i/f79TuiZkZ2fbN6ZO7fV4TjFliu3hRx995Lk4iNxEIpEgNTVV2LBagYICzwZUWCjEAWD58uVcBO4BsBiCPCY3N7fL/XFDu36jNq6Lmx7uNQ7RQCUSiRA7fz6S/vQnBD3gCkNB0dFI+uQTxM6fz5XkBoCdO3eioO2PuiC5CC+ND4RM4tz/d5lEGDeobcWsQ4cOYdeuXU6do7+wWq348MMP8dBDDyEtLQ0ajabD82IRoJSLMdhPDKVcDPEd/1UajQZpaWl46KGH8OGHH/LN7D6orKzMdqNRlNIP7yaqejXeu4kqRCn9AAg3JN35NUVE97dhwwYo2t4MqNA14zeHyhC24SAe3/4Vlv61FK8cOoOlfy3F49u/QtiGg/jNoTJU6JoBAAqFAllZWXjttdc8+SkQeSXmBYhcg3kBcpY333wTqamptkLtsGAR0mbL8Mn/p8B/pflh9c/kSJ0px+qfyfFfaX745P9TIG22DGHBwteMXq/HmjVrPPkp9En3ywtAJIKPry9k/v7w8fUVVot0wLxA31JcXGz7P1YMGgQ/pdIt8/oplVAMGgRAyEOUlJS4ZV6ivsoxL1CttSJjvxEv/Icev97SjPf/YsC2/Qa8/xcDfr2lGS/8hx4Z+42o1go/f5kXICKi7hCJRFi0aBFKS0sxYcKEux5XX12FHcsSUJTxbzCbTHc9zh3MJhMKt/4OO1ITUV9dddfj1Go1SkpKsHDhQjdGR3ezfft2oRsCINwsP2aMZwJR/f/s3Xtc1HXa+P/XcBhgOCviARAlQ01QEcvTXZsloGm1+829t9JMTdS4bV1Xu3Pdau/f1r3tXXqrmXlKTdO2NmzX2zzBtnb00Ap4wFREiwRPoAxnGObw++MDwyAHOcwJuJ6Phw/n8+Ez7/fFiMzMNe/rfUWZF+trtVree+89u4cQFBTE0qVLuXjxInv27GHq1KmEhYW16L5hYWFMnTqVzz77jIsXL7J06VKCgoJaNX9qaipxcXEUFhYqJ3x9YeZMePrp9u9O3r27Ms7Mmcq4QGFhIXFxcaSmprZv7A6qoKCAN954g7vuuovHHnuM5ORkcnNzW3Tf3NxckpOTefTRR7nrrrt444032lXAc/ToUeWGh4fSkcEZDBqkxAMcO3bMwcEIYR+JiYkEBAQoBxkZcOaMYwLJzFTmR+kyNGfOHMfE0cHZqceVEPUZjcZGFyt4uakYEOje6H3u6uaOl5uKCn39D2927drFypUrcWlpJawQXUTgoEFM/OtfSXn6abRZWS2+X0BkJPEffoibl5cNoxPOoqSkhCVLlpiPpw72sVpHiNtp3F2YOtiHLSeUnQkXL17ML3/5S3xr3nwL5U10YmIiBw4cqHe+X4Abw3t5EObnSm8fN9wtilWqDSauluq5XGwg42oVOUVK4lOr1TJnzhySk5PZtGkToaGhdv1eRNtt2LDBfHvJ2LvxUbfvJbuP2o3FYwbw6wOnzeOvWbOmXWMK0dXMmDGDX/ziFzz//PPmYiWdwcjxK1qOX9E2eb/4+HjWrVtHRBsXogrRmUleQAjbk7yAaI+NGzfy6quvmo8n3+fGnElqvDyaLo7x9lTx2Bh34ka48d5+Xb3dsEXLNJUX0HTrRmBICJrAQDz9/HCx2BnMaDBQWVxMeWEhhXl5lN+6BUheoKMwL4AAAkNC7Dp3YEiI+efl6NGjxMbG2nV+ITqSxvIC1Qa4kGfkQp6xyftJXkAIIURr3X333Rw5coRly5axYsWKRq8xmUz8c9OfuPjdIX7139sJ7BPe6HW2VHglh49/P4Ock0eavW7JkiX893//N+p2dq8U1mEwGFi/fr1yoFJBQoJjA4qPhxMnwGRi/fr1vPjiiw7ZCdvV1ZUpU6YwZcoUQOlGnJ6eTmZmJmVlZVRVVeHh4YG3tzdRUVHExsbSo0ePds35zTff8Pjjj1NRoWysRWQkTJtm/S4dQ4ZA//6wcydkZVFRUcHjjz9Oamoq48aNs+5cTspkMrF9+3YWLlxYVwhUy8MDQkIgNBT69AFvb3BzA70eysrgyhXIzYW8PHM3kJycHJYtW8abb77JqlWrWt0N5MaNG3VFGCEhLe/8YWsuLko8ly5x+fJl8vPz2/1zLoSzCwoKYtWqVcycOVM5sWuX8jvTnh2TysuVeWusXr261cV1QiHFEMIhjh07xpUrVxqcv6eHGtfbt7iu4eai4p4eatKuVtU7n5eXx3fffcfo0aNtEqsQHZnKxYXSvKZ3YWhMaV4eKmm11GXs2LEDrVYLQEwvNYN72DYRNbiHmpheajKu6dBqtezcuZP58+fbdM6OIiMjg4SEBPLz883nYnqpebCfF318m37J5u6qoq+/O3393RkX5kleiZ4vf6wg45oOULpwjBgxgoMHDxJj0QpTOK/a3TjUri48M7Rlu4/cyYxhfVmSegadwdhld/sQor0iIiI4ePAgmZmZbNiwgdTUVLKysurttKtSqYiMjCQuLo758+czxFE7KgnRAUheQAj7kLyAaIuLFy+yaNEi83HiI2qe+LfGC9Ua4+Wh4oWfe9Cnuwub9utsEWKn1FheICA0lOABA5rtFuDi6oomMBBNYCBBERFUFBVxIzsbbc0H65IXaJzJZCItLY2jR49y/PhxMjIyuHHjRoPrNm/ezIQJE4iNjbVJp5zjx4+bb2sCA60+fnO8ane+uy0OIUTjJC8ghBDCXtRqNcuXLycuLo4ZM2Y0+joVIOfkEd5+ciTTV3zCXfc+aLf4Lv7rC3Ys/iWVpUVNXhMcHMz27dtJcPRie1HP/v37+emnn5SDgQPb332gvYKClDjOnSMnJ4cDBw4wefJkx8aE8vM7ceJEJk6caJPx8/LyeOyxx+oKIaKilEIINxst49RoYNYs2LEDzpyhoqKCRx99lMzMTPr06WObOZ1EXl4e8+bNY+/evXUnVSrl527sWOXv5ooRajcNMBrh/Hk4fFj522RCq9Uyc+ZMPvnkEzZu3NjixzItLa3uwNk2rqgphgAlTlv9HxDCmcyYMYNPPvlE+T1RUqIUj82aZbvfyZb0euV3c2kpAFOmTJFOWu3gJKVloqtpbPdHgKE9m1+E29TXmxpPiK7u6uHD6MvKWnUffVkZ1w4ftlFEwpmYTCbeffdd8/GD/eyz6+fPLOZ59913631Y1FWlp6czfvx484IHPw8Vs4f78nS0b7OFEI0J8XXj6WhfZg/3xa9mx878/HzGjx9PRk1bNeG8iouLyarZtXdYTz/8PVu+4Kg5/p7uDO3pB0BWVhYlJSVWGVeIrigqKoo1a9Zw7tw5tFot6enpHD58mPT0dIqKijh37hxr1qyRBQ9C3IHkBYSwD8kLiLZISkqivLwcUDpCtKYQwtIT97sz+T7Zj6klbs8LuHl60n/0aMJjY5sthGiMl78/4bGx9B81CjdPT0DyApZKSkpYt24dQ4cO5d577+WFF15g27ZtnDp1imvXrjW4/ne/+x333nsvQ4cOZd26dVZ/P23+N1Gp8PTzs+rYd+Ll768sAkH5GRRCtIzkBYQQQthLQkICJ0+eJD4+vslrKkuL+GDxVKrK7PO5T1VZCR/89olmCyESEhI4deqUFEI4oW3bttUdjB3ruEAsjRljvvn+++87Lg47MZlMzJs3j8LCQuVEbUcIWy+6dXOD6dOV+YDCwkLmzp3bqddqfPvtt0RHR9cvhIiJgZdegueeg8GDW96VwcVFuf6555T7W2w2sXfvXqKiovj2229bNNSZM2fqDpytGMWiY2VmZqYDAxHCflQqFRs2bCCwdpOSrCylQEFv467HtYUQFy4AEBgYyIYNG2yyGUtXIcUQwu5MJlOjixQ8XFVEdm/+g7W7u7nj0cjGdLt27erUL9CEaKvLbdz9u633Ex1LWlqa+Q1MvwC3Vi+6b6sQXzfC/ZW5Tp8+3eU/bM3NzWXixInmloz9AtxYPCag3V06BvdQs3hMAP0ClMe6qKiIhISEupaLwillZ2ebbw/t2boFL3cyrGY8k8lUbx4hRNv5+fkRExPDmDFjiImJwdfX19EhCdEhSF5ACPuRvIBordOnT5OSkgJAcICKOZPa9950ziQ1wQHyAU5zbs8LaLp1Y+D48fj17Nmucf169WLg+PFounUDJC9gMpnYvHkzffv2JSkpqeGH+ioV7p6eqL29cff0NBcJ1MrMzCQpKYm+ffuyefNmq73uKCgoAMDdwwMXO3flcXF1xd3DA4CbN2/adW4hOgvJCwghhLC1Xr16sX//ft566y3c3RvPm1WVFnM58zu7xHM587smCy/c3d1Zvnw5+/bto2c7388I2zh69Khyw8ND2RHfGQwapMSD0k24s9u+fXvd4nxfX/sUQtRyc1Pm8/EBlEX8H3zwgX3mtrPU1FTi4uLqik58fWHmTHj66fZ3ROneXRln5kxlXJTikri4OFJbkFMtrdkBHgBv7/bFYm0W8ZS1coMdITqykJAQ9uzZg5dXzea+Z87A1q1Qs2GQ1ZWXw5YtyjyARqNhz549nb5bj61JMYSwu4yMDH788ccG5wf3cMfNpfkPxtxdVQwOavgB3A8//MCJEyesFKEQnYOxupq8Q4fadN/cf/4TY3W1lSMSzsac7ACG9/Kw69wxvevms4yjqzGZTMyZM8e882O/ADcSR/ihcbfOSzSNuwuJI/zMBRH5+fkkJibKQkEnVlVVZb7tq7Zu4stHXbeoorKy0qpjCyGEEK0heQEh7EPyAqItNmzYYL499X53vDzaV8jg5aFqc2eJruD2vICmWzcixozBTd2+IpRabmo1EWPGmAsiumpeIDc3l0ceeYQ5c+ag1WrN5zXduhESHc3dDzxA9OTJ3JOQwOAJE7gnIYHoyZO5+4EHCImONj9+AFqtljlz5vDII49YpbBEp9MBoLJzIUQtVc0umJb5CCGEEEII4VxcXFxYsmQJhw8fJigoqNFrfIN62SUWn+6NFzkEBwdz+PBhFi9ejEtLd1oXdnXjxo269zAhIS3fEd/WXFzMu9FfvnzZ/P64MyooKGDhwoV1J554AjQa+wah0Sjz1li4cKG5SL+z+Oabb3j88cepqKhQTkRGwpIlYO3ObUOGKOPWdNuoqKjg8ccfv2OHiNo8AGC/QpiWsohH8gSiqxk3bhy7d++uK4jIyoLly80FC1aTmQlvvWXuCKHRaNi9ezfjxo2z7jxdkJO8shFdSXJycqPno4Nb9gFPdM/Gr2tqXCG6quvffYeuuLjRr4U+/DBT9u0j9KGHGv26rriY6//6ly3DE07g+PHj5tthfvb9wNVyPss4upotW7Zw8OBBAPw8VMwa7ova1bo7ZqpdlXH9ahawHDhwgK1bt1p1js6guLiYU6dOOToMPDzqCoVKdNZtu1eqM5hve3p6WnVsIYQQojUkLyCEfUheQLRF7Q527q7wcIx1PpCdMMINd8es83Z6lnkBN09P+o8ahauVPwh3dXOj/6hRuNW8D+xqeYGMjAxGjBjBgQMHzOcCQkOJfPBB7r7/foIiItAEBjboyuDi6oomMJCgiAjuvv9+Ih98kIDQUPPXDxw4wIgRI8jIyGhXfOqawheTwXCHK23DZDQC9fMRQgghhBDCOUVHRze6ODWwTz+CI+6xSww97xpCQO/wBucrKyuJjo62SwyibdLS0uoOLN7bOIWaYgi4Lc5OZtOmTeaukMTEWH9xfktFRSnzoxT8v/fee46Jwwby8vJ47LHH6gohoqJg1izbFZ1oNMr4Nf+WFRUVPProo1y5cqXJu6gtN8DQW3c9QLtZxCN5AtEV1XZ4CQgIUE6UlMD778OHH0J7u6oWFCjjbNsGNR1iAgMDSUlJYcKECe0bWwBSDCHszGQysWvXrgbn3V1gUCM7OzZmUJCaxjbM3rVrV5fb0UqI5lxupP2ai1rNva+8wv2rV+MXHs79b7/NyJdfxqWR3eYau7/oXGo/rHVRQW8f+1ac9/Zxo3bT3/T0dLvO7SxKSkpYsmSJ+XjqYB+rdYS4ncbdhamDfczHixcvpqSk8Ra2XUlmZiYLFixg4MCB+Pv7N/oGY+nSpWRmZtotpgEDBphvn7peZNWxT9aMp1Kp6s0jhBBC2JPkBYSwH8kLiNYqLi4mKysLgP69XfD2tE6xvrenin696n5xl9Z82NPV3Z4XCBs+3GodIW7nplYTNmyY+bir5AXS09MZP368eWdRN09P+o8eTXhsLF7+/q0ay8vfn/DY2HqFJfn5+YwfP75dBRG1O/tWV1VhtHNBhNFgoLpmMV337t3tOrcQQgghhGi9f/zjH42+jh/y0M9Rqay72VpTVCoVQx76eYPzxcXFfP7553aJQbTNGcudrfv0cVwgjbEohrDn57L2ZDAYWL9+vXKgUkFCgmMDio9X4gDWr1+PwUEF+tZkMpmYN28ehYWFyonISJg2zfbdF9zcYPp0c4eIwsJC5s6d2+RnFT4+des2KCuzbWytZRGPt7e3AwMRwnHGjRvHl19+Wf9kRgb8z//A5s3w/fdQs7nIHRmNyvWbN8Obbyrj1Jg8eTKZmZnSEcKKpBhC2NWZM2fMH6hZGhSkbvFO2GpXFQMbWSBx/vx5vv/++3bHKERnYDQYyP3nP+ud87/rLiZ+/DF3P/mkORmiUqmIfOopJn78Mf533VXv+tzPP7f7B3DCvmrbHfqqXXC3cjeCO3F3VeGrVl6G3Gxv9WwHtWPHDrRaLQAxvdQM7mGbBQ+1BvdQE9NLmUOr1bJz506bzufMLl68SEJCAtHR0axdu7bR1ya1tmzZQnR0NAkJCVy6dMnmsfn5+RFZkyg5eb2Yospqq4xbVFnNqevKrsCRkZH4+vpaZVwhhBCitSQvIIR9SF5AtEV2drb5dv9e1v3oIKJ33Xg//PCDVcfuqCzzAgGhofj17GnT+fx69TJ3NugKeYHc3FwmTpxo3nVT060bA8ePb/fj7NerFwPHj0fTrRsARUVFJCQkkJub26bxYmp248RkorKJbj62UlFUBDWLM0aMGGHXuYUQQgghROs1tsEIQNTDv7BrHE3N11R8wjnU25jA2RY5W8RT5myLw61k//79/PTTT8rBwIHg6IL0oCAlDiAnJ6deN8WOavv27ezdu1c58PW1TyFELTc3Zb6aQoe9e/fywQcfNHrpEMuOIM10kHCIvDzzzaioKAcGIoRj9e7du+FJkwnOnYOtW+HVV2HdOvi//4O0NOV8drbyd1qacn7dOuW6rVuV8zU5uICAALZt28aePXvo42zFiR2cfbeBFg5nMBj405/+xGeffVZXCWlHxU0k86ODW7cAdGiwmswbugbnH374Yfz8/Fo8TmOVraNHj8bVtXV92wMDA5kyZQrLli1r9X2FsIWK69eptFhgPuBXv2LEiy/i5uXV6PUBkZEkfPwx6W++SfZf/wpA5c2bVFy/jrc88XZaOp3ye9TNQaWRrjXzNtbOtbMzmUy8++675uMH+zX+f9PaftbPi4xryr/7u+++y7x58+y2U4yz2LhxI4sWLaK8vNx8Tu3qwrCefgzt6Y+v2o0SnZ5T14s4eb0YnUGp6E5JSSE6OppVq1aRmJho0xjj4uLIyspCZzDywanLLLgvot1jbj/5k/l7iYuLa/d4QgghOi7JC9QneQHRWUleQLSF5ftzjYd1x/ay+DVfWVlp3cE7oNvzAsF26t4XPGAA2ppF+505L2AymZgzZ465I4SmWzcixozB1UqLINzUaiLGjOHSkSOU37pFfn4+iYmJ7Nu3r9WP58iRI9m2bRsA5YWFaAIDrRJjS1TUFOPUxiGEEEIIIZxXdXU1u3fvbnDer0cfwqJH2TWWvkNH4xvUm5KCq/XO7969mw0bNuBmr8XHolVq1wYA9lsg3lIW8XTWtQO17/sAGDvWcYFYGjNGWaALvP/++0yePNnBAbVdQUEBCxcurDvxxBOg0dg3CI1Gmbfm33rhwoU88sgj5o6QtWJjY+sO2rixgs1YFEPUi1MIQVhYGJcvX1YOqqrg0iXlTwuFh4czf/585syZ0+D3grAOJ3t1I2xt0aJFrFmzxtFh1OOqgsE93Ft1n8E93HFVgeG2jlLXr1/n+vXr7Yqnrbs+f/fddxQUFLB69ep2zS+ENXj17Em/Rx+l8OxZhi5YQFgLFr66eXlx3x/+QK8xYzi9di2B99yDplcvO0QrHEWtVlYi6FvYvcvaatZl4+Fh5RUWHUBaWpq5xWe/ADf6+NrnJVmIrxvh/m7kFOk5ffo06enpXepN7Guvvcarr75qPg7392LJ2Lt5ZmgY/p4NX4sUVVbzwanLLD98gZyiCsrLy5k7dy7Xr1/n5Zdftlmc8+fPZ+3atQAsP3yBmcP74qNu+89IqU7PiiN1O7zOnz+/3TEKIYTouCQvcGeSFxCdgeQFRFtYvj8vt/LagwqLNReenp7WHbwDsswLaLp1w8vf3y7zevn7o+nWjfJbtzp1XmDLli0cPHgQADdPT/qPGmW1Qoharm5u9B81ivOHDqGvrOTAgQNs3bqV2bNnt2qc0aNHm28X5uURFNH+DRFaqtBikYNlHEIIIYQQwvl8+eWX3Lp1q8H5e8Y/jouLfXe+c3FxYcj4xzn6yfp652/evMmXX37Jww8/bNd4RMvUrg0AQK93XCCNsYins64dOHr0qHLDw8PckcHhBg1S4qmq4tixY46Opl02bdpk7gxJTAxYdl+wp6goZf6MDLRaLe+99x5Lly6td0lwcDChoaFKh8m8PDAawc6/xxtlNJqLIcLCwujRo4eDAxLCuXz33XccP36cbdu2cezYsbrCiGaEhYUxatQoZs6cycSJE2UzNRuTYoguxGAw1K80dRKR3d3xbOW25J5uLkR2d+dsQbWNomqbbdu2sXLlSru/2RTidi6uroz985/bdN++8fH0jY+3ckTCGQUFBXHlyhVKdEaqDSbcXe23E2C1wUSJTqmG6O7oFpAOYE52AMN72TehE9Pbg5wivTmOzrjooTEbN26sVwgxP7Yfb8VHNVtk4O/pzoL7Ipg5vC8vpmSyPu1HAF555RWCg4OZO3euTWKNiooiPj6elJQUcooqeDElk3VThrd5vBdTMskpqgAgPj6+futNIYQQXYrkBWxP8gLCWUheQLTFAIvuBD9cs+7OCZeu1o3Xv39/q47dEVnmBQJDQuw6d2BICOU1i6g6Y16gpKSEJUuWmI/Dhg/HTd26DlQt5aZWEzZsGD/ULBpZvHgxv/zlL/H19W3xGLGxsURFRZGZmUn5rVtUFBXZpTimoqjI/HMQHR3NiBEjbD6nEEII0Vr6ykpunTlDtyFDcJOCWtHFJScnN3o+esL/s3MkiqgJ/69BMQQocUoxhHPy8fGpOygrc1wgjbGIx9vb24GB2MaNGzeUhe8AISHOsfAdlDhCQuDSJS5fvkx+fn6HXABvMBhYv77m95FKBQkJjg0oPh5OnACTifXr1/Piiy82WAA9evRo5fd6VRWcPw+DBzsmVkvnzinxAKNG2bfjkBAdgaurK1OmTGHKlCmA8rs9PT2dzMxMysrKqKqqwsPDA29vb6KiooiNje2Qv1M7Mid5dhX24OrqipeXl6PDaGBoz7Z9ENHW+9mSl5eXLHgQQnQYMTExABhNcLXUvrs/XC3VY6zZxbcrfth6/Phx8+0wP/tW/lrOZxlHZ3bx4kUWLVpkPl4RH8W6KcNb3G3BR+3GuinDWR5XV0SwaNGiNu8a3RLr1q1DU9O6c33aj6w4fKFN46w4fMFcxKHRaFi3bp21QhRCCNEBSV7A9iQvIIToyPz8/IiMjATgh6tGyipNd7hHy5RVmvjRorii3gKMLsry/bgmMNCuc3sFBDQaR2exY8cOtFotAAGhofj17GnT+fx69SIgNBQArVbLzp07W3V/lUpFUlKS+fhGdnYzV1uP5TxJSUmoVPbbJEUIIYRoqW+XLOEfM2Zw+MUXHR2KEA5lMBj429/+1uC8d2AP+sX8mwMign4x/4Z3QFCD83/7298wGAwOiEjcSb3N0q5ccVwgjbHoWhcVFeXAQGwjLS2t7qDm/aPTsNigoV6cHcj+/fv56aeflIOBA8HRm3EGBZm7f+Tk5HDgwIEGlzz77LN1B4cP2yuy5h05Yr45c+ZMx8UhRAcRHBzMxIkTWbJkCX/4wx/405/+xB/+8AeWLFnCxIkTpRDCAeTT2S7mt7/9raNDqKent2ubd8Qe3suDnt7O1TrGcqGlEEI4u5EjR5pvXy62b1LKcj7LOLqKjIwMAFxU0NvHvo26evu44VLz+XZ6erpd53aUpKQkysvLAaUjxG/HDLjDPRq3eOzdzI/tB0B5eTnPP/+8tUJsICIigpUrV5qPl6Se4fnPTlCqa1nhUqlOz/OfnWBJ6hnzuVWrVhEREWH1WIUQQnQskhewLckLCCE6uri4OACqDfB5hnU2TvhHup5qWQtTT21eAJUKTz8/u87t5e+v7JRI58sLmEwm3n33XfNx8IC2vf9vLct53n33XUym1hUSTZ8+nYCaIhVtbi7F165ZM7wGiq9dQ1uzK2lAQADTpk2z6XxCCCFEW5Rfu0beoUMA5P7zn5Rfv+7giIRwnG+//ZYbN240OH/Pg4/h4tr63JjJZOLid4f4ZsdqLn53qNWvXwFc3dy4Z/xjDc5fv36dw86ysFfUU68rYG2XAmdhUQzR2boXApw5U/d5LX36OC6QxlgUQ2RmZjowkLar1w177FjHBWJpzBjzzffff7/BlydNmkR4eLhycP483Lxpp8CaUFCgxAGEh4czceJEx8YjhBBtYN/Vd8LhXnzxRYxGIy+//PIdq7F7aFzorrHNogIXoLevGz8L98TNpW07Drm5qPiPe/34MqeSqyV6rNu4vU5BuYGC8uZHd3Nz4/XXX+dF2ZVCCNGBjB492nz7xLUqxoXZr8VwxtWqRuPoKgoKCgDwVbvg7mrfnffcXVX4ql0oqjJy09Fvqu3g9OnTpKSkABDu78Vb8e3bTeSt+Cj2Z18np6iClJQUMjMzbbZDydy5c7l+/TqvvvoqoHSI2J99ncVjBjBjWF/8Pd0b3KeosprtJ39ixZFscooqzOdfe+01EhMTbRKnEEKIjkXyAq0neQEhRFcyf/581q5dC0Dy19XEjXDDy6Pt71srqkzs+qbaWuF1GrV5AXcPjzYtXmoPF1dX3D08qK6s7HR5gbS0NPPiDU23bkrhhx14+fuj6daN8lu3OH36NOnp6a1awOPr68vy5cuZM2cOAJdPnmRgt264qa3fBUuv03H55Enz8YoVK/D19bX6PEIIIUR7Xf788/rH//gHA6WAT3RRu3btavR81MO/aPVYpYX5JP8hkfPf7DOfG/hvjzD1/9uET2DrdjAe8tAv+NfftjQ4v2vXLu6///5WxyZsKzg4mNDQUHJzc5XiA6MRnKHDrdFoLoYICwvrlDtpl5aW1h14ezsukMZYxFNWVubAQNru6NGjyg0PD3NHBocbNEiJp6qKY8eONfiyq6sr8+bNY9myZWAywcGD8PTTDgi0RkqKEgdKbtDVzrkqIYSwBimG6GJUKhVLly7lwQcf5Omnn+aHH35o8trCSiP39/VidKiH07ZI9nJ3YeIAjU3GNplMHMmtYk9W8y/2+vfvz1/+8hdGjRplkziEEMJWYmNjiYqKIjMzkx+1eq6U6Onja/uXBnklenKKlN0lo6OjGTFihM3ndDY6nQ4ANwfll1xr5q2qqmr+wk5gw4YN5ttLxt6Nj7p9P+M+ajcWjxnArw+cNo+/Zs2ado3ZnFdeeYWePXuyaNEiysvLySmq4NcHTrMk9QxDe/oxrKc/PmpXSnUGTl4v4tT1YnSGusWaGo2GVatWSSGEEEIIM8kLtJzkBYQQXVFUVBTx8fGkpKRwQ2vivf06Xvh52zr4ALy3X8cNbet3Ge3savMCKgd9uKyqWfDS2fIC5gUQQKDF7pb2EBgSQvmtW+Y4Wrub6ezZs0lOTubAgQPoKyv54dgxIsaMwdXNerk6g17PD8eOoa+sBJSdKGfNmmW18YUQQghrupya2uBYiiFEV2Q0Gvn0008bnPf0DSDi3gdbNVb2sX/y11dmUlJQvxPZ+W/28favRvLvr21lwKiHWjzeXfeNx9PHn8rSonrnP/30U1auXOm0+cSubPTo0SQnJ0NVlbIL/ODBjg4Jzp1T4oFOm1+tzQEAYMX3eFZhEU9HzBHcuHFDKfABpcuFMxT4gBJHSAhcusTly5fJz89vUOiTmJjIm2++iVarhYwMGDYMhgyxf6yZmcr8KN0jazdqEEKIjsZJngGEvY0ePZqMjAyeeuqpJq/RG+HTc2VsP1VKebWt9ld0TuXVRrafKuVv58rQN/OtP/XUU2RkZHTaF+RCiM5NpVKRlJRkPv7ix4pmrraeLy3mSUpK6pKJMHXNzn7NPcfYUu1aeQ+Pti9o6ShSaz4wUbu68MzQMKuMOWNYX9Q1FSWpt30gYwtz587l9OnTxMfHm8/pDEaOX9GyOSOH1ccusTkjh+NXtPUKIeLj4zl9+rQUQgghhGiU5AWaJ3kBIURXtm7dOjQapdBs73d6dn3dts4Ou76uZu93emuG1mnU5gVMd+jSZCsmo/Lk1tnyAsePHzff1gQG2nVur4CARuNoKZVKxaZNm8yLI8pv3eLSkSPoLRfNtINep+PSkSPmgo0ePXqwcePGLpmXE0II4fwqb94kPy2t3rn8tDQqa57HhOhK/vWvf9Ut9LUw+GdTcHNvWScxQ3U1B95expakSQ0KIWqVFFxlS9IkDqz5PYbqlr0HdHNXM/hnUxqcv3z5Mv/6179aNIawr2effbbu4PBhxwVi6cgR882ZM2c6Lg4bUlt2/dM7WZ7EIp6OmCNIs3y9EBrquEAaY7FJQ9ptr2sAgoKCWLVqVd2JXbugvNwOgVkoL1fmrbF69WqCgoLsG4MQQliJFEN0Yf7+/uzcuZOtW7fi3UwbrswbOv73SBGXCrtGO/NLhdX875EiMm80/SGDt7c377//Pjt37sTfTq22hRDCFqZPn05AzYe1Gdd0nM23zgesTTmbryPjmjJHQEAA07roLj61byBLdEaqDfbdIbPaYKJEpyx66N69u13ntrfi4mKysrIAGNbTD39Pd6uM6+/pztCefgBkZWVRUlJilXGbExERwcGDBzl9+jQLFixg4MCBDRYsqFQqBg4cyIIFC8jMzOTgwYNERETYPDYhhBAdl+QFGid5ASFEVxcREcHKlSvNx5v261jz9yoqqlr2/rWiysSav1exab9tcwwdWW1eoLqqCqOdCyKMBgPVNbs9dra8QEbNToaoVHj6+dl1bi9/f6h5n56ent6mMUJDQzl48KD5tUX5rVucP3SI4uvX2xVb8bVrnD90yFwI4e/vz8GDBwl1toUiQgghRI3czz83F2/WMhmN5H7+uYMiEsJxkpOTGz0f/fD/a9H9b+VeYv1zD/Ll+8sxmZp/T2cymfhy61usf+5BbuVeatH4URMaj6OpuIVjTZo0ifDwcOXg/Hm4edOxARUUKHEA4eHhTJw40bHx2IiPj0/dQVnzXYjtziKe5j4jcFZnzpypO+jTx3GBNMaiGCIzM7PRS2bMmMHkyZOVg5IS2LnTfgUzej3s2AGlpQBMmTKFZ555xj5zCyGEDUgxRBenUqmYOXMmaWlpxMTENHldUZWR9ceLSblYjsHYOduaG4wmDl4sZ/3xYoqqmt72MSYmhvT0dJ599lnZNUkI0eH5+vqyfPly83HyWdvt+ltebST5bKn5eMWKFfj6+tpkLmdX+5xrNMHVUvvu/nC1VE/tU/mIESPsOre9ZWdnm28P7WndRYrDasYzmUz15rG1qKgo1qxZw7lz59BqtaSnp3P48GHS09MpKiri3LlzrFmzhiGOaKEphBCiQ5K8QB3JCwghRJ25c+fyxz/+0Xy89zs981ZXsPtwNWWVjT8PlFWa2H24mnmrK6QjxB2Yn3NNJiqLi+06d0VREdQsgupseYGCggIA3D08cHF1tevcLq6uuNfsonmzHQuKYmJiOHTokLlDhL6ykh+OHiUnLU35t2uFiqIictLS+OHYMfSVlYDSEeKLL75o9nWfEEII4Wg/NdGR+bIdOjUL4UxMJhO7LHbsrqXW+DBg9IQ73v/EgY94+6l7yc1sXZeG3Mx/8fZT93LiwEd3vPbu0XGoNT4Nzu/ateuOxRfC/lxdXZk3b55yYDLBwYOODSglxfz+dP78+bja+X2cvdT73PbKFccF0pi8PPPNqKioNg1x48YN9u/fz/Lly/mv//ovli1bxn/913+xfPly9u/fz40bN6wVbQOlpXXrT3C2Yg6LeMqaKIJRqVRs2LCBwNrulllZSoGCrQsiagshLlwAIDAwkA0bNsjnHUKIDs3N0QEI5zBw4ECOHDnC7373u3q7flkyAamXKsi+Vc1TUT4EenWeF6GFFQY+zCzlR23zLyZ++9vf8qc//alDtgYTQoimzJ49m+TkZA4cOEBxlYmtJ0pIHOGH2tV6b3R0BhNbMkoortlFctKkScyaNctq43c0I0eOZNu2bQBcLjbQ1986HQta4nJx3Y6TI0eOtNu8jlBVs9MlgK/aui97fdR1r4MqaxYU2Jufn58sXhBCCGE1kheQvIAQQtzulVdeoWfPnixatIjy8nJuaE2s+0zHe/t19OvlQkRvF7zUUKGDS1eN/HjNSLVFkwONRsNrr73G4sWLHfdNOCnLvEB5YSGa2g+97aBCq60XR2ei0yndSFQOWkCjclH2H7PMR7RFbeFlYmIiBw4cAECbm4s2NxdNt24EhoTgFRCAl79/vaIPo8FARVERFVothbm5lBcW1ht34sSJbNq0STpCCCGEcGpVWi3Xv/uu0a9dO3YMXVERaunQKLqIEydO8MMPPzQ4P+j+R3D38GzyflXlpez5n9+Qtmd7s+OHhoaSm5vb+BhlJXy8bAbZRz/n0f9ciUcjBQ8A7h6eDPq3SZxK+aTe+UuXLnHy5EmGDx/ebAzC/hITE3nzzTfRarWQkQHDhoEjNlnLzFTmBwICApgzZ479Y7CT2NjYuoMm/s85jEUxRL04m2EwGNi3bx/bt2/n6NGjTf4esRQaGsro0aN59tlnmTRpktUKX2rzAAC4OdkyWIt4mssThISEsGfPHuLi4qioqIAzZ2DrVpg2DTQa68dVXl6vEEKj0bBnzx76OFtnDSGEaCUnexYQjuTh4cH//u//MmHCBGbOnEl+fn6j1/2g1bPyaBFT7/FmaM+O/+H/qetVJH9fRoW+6ar0Hj16sG3bNiZNmmTHyIQQwj5UKhWbNm1ixIgR5Ofn86NWz6b0YmYN90Xj3v4mUuXVRrZklJBTpCwsCwoKYuPGjV26qnz06NHm2yeuVTEurOmEpbVlXK17o20ZR2dkuUixRGfd3RNKdXUrfDw97ffvJ4QQwrnduHGDtLQ0zpw5Q2lpKTqdDrVajY+PD0OGDCE2Npbg4GBHh9kkyQtIXkAIIW43d+5cJkyYwPPPP09KSgoA1Qa4kGfkQl7TXXTi4+NZt24dvr6+UgzRCMv344V5eQRFRNht7kKLhQ6dLS+gVqsBMBkMd7jSNkxG5f+ENYomQ0ND2bdvH1u3bmXx4sXKQiWg/NYtym/dUi5SqXD38EDl4oLJaKS6qsq8q6qlgIAAVqxYwaxZs7p0Pk4IIYTjFefkcHrNGqqa6XakKyrC1MRuyCa9nn8mJjZbDOHh70/0Cy/gFx7e7niFcLTGukIARD38iybvk3c2g7/8bho3f2q6q7larebNN9/khRde4O233+Y///M/qa6ubvTatP/bRs7Jwzz5px2EDG58g66oh3/RoBiiNn4phnA+QUFBrFq1ipkzZyondu2C/v1ts+i6KeXlyrw1Vq9eTVBQkP3mt7Pg4OC64qO8PDAawaX96zDazWg0F0OEhYWZOxQ2paCggE2bNrFhwwZycnJaNVVubi7JyckkJycTHh7OvHnzSExMbPe/e20eALB9N4XWsojnTnmCcePGsXv3bh5//HGlICIrC5YvhyeesG6xUmam8n+vpqOGRqNh9+7djBs3znpzCCGEg0gxhGjgkUce4eTJk8yYMYN//OMfjV5ToTfxwalSRodU8+hAb6vuHm4vOoOJ/ztfxrG85ndpiouLY/v27fTq1ctOkQkhhP2FhoZy8OBBxo8fT1FRET9q9aw4omXqYB8G91DfeYAmnM3XkXy21NwRAuDjjz/u8jvQxcbGEhUVRWZmJj9q9Vwp0dPH1/Yvy/JK9OailOjoaEaMGGHzOR1pwIAB5tunrjf94UpbnKwZT6VS1ZtHCCFE1+JMOyBZk+QF6pO8gBCiq4uIiODgwYNkZmayYcMGUlNTycrKwmSx6FqlUhEZGUlcXBzz589nSM0HtU0V1nV1lnmB8lu3qCgqwssOOxxXFBWZF9J3xrxAUFAQV65cobqqCqPBUK9rgq0ZDQalGAHo3r27VcZUqVTMnj2bX/7yl+zcuZO1a9eSmZlZd4HJRHUz3Sqjo6NJSkpi2rRp+Pr6WiUmIYQQoj2+37iRnP372zXGrTNn7niNq4cHo//7v9s1jxCOZjKZSE5ObnDe3dOLgeMmNjhvNBo5/OEaDry9DIO+8cIGgMjISD766CNz5/Hf/OY3PPDAAzz11FNkZWU1ep+CnAuse/bfmPjrPzFu2q8bFNhGjpuIm4cn+qr6r0137drFa6+9dsfvVdjfjBkz+OSTT9i7dy+UlMDOnTBrln121tfrlV3paxZjT5kyhWeeecb28zrY6NGjlf/TVVVw/jwMHuzokODcOSUeYNSoUU1eZjKZ2L59OwsXLqTo9oJGDw8ICYHQUOjTB7y9lZ8jvR7KyuDKFaUbRl6eea6cnByWLVvGm2++yapVq5gxY0abC/d9fCy61pSVtWkMm7GIx9vb+46Xx8XFkZqayqOPPkphYaHyf/P99yEmBhISoD25hoICSEkxd2MBCAwMZM+ePVIIIYToNKQYQjSqd+/eHDx4kOXLl/P73/8efRPVk0fzqvhBq2datA+97bCI01qulOj58HQp18ua3iHKzc2NP/3pTyxevBgXZ6jIFUIIG4uJieHQoUMkJCSQn59PcZWJLSdKiOml5mf9vAhpxe/5vBI9X/5YQcY1XYOvRUdHWzPsDkmlUpGUlERSUhIAX/xYwdPRtv9Q+ssfK8y3k5KS2rUboMlkIi0tjaNHj3L8+HEyMjIoKCgw74AdFBRETEwMI0eOZPTo0cTGxtp990E/Pz8iIyPJysri5PViiiqr8fd0b/e4RZXVnLpeDChJY1lQIIQQXY8z7oBkbZIXkLyAEELcLioqijVr1gBQXFzMxYsXqaysxNPTkwEDBsh7o1a4PS9wIzub8NhYm897I7tud9jOmBeIiYnh1KlTYDJRWVyMJjDQpvNZqigqMndlsHaRia+vL/Pnz2fevHmkp6ebH/P09HRu3rxJVVUVHh4edO/enREjRpgf8xEjRkgnCCGEEE6lzwMPcGn37kY7GVmNSkWfBx6w3fhC2Mn333/P+fPnG5yPHBOP2qv+otrSWzf45A9zyPr2QLNjzp49m9WrV9dfPIzy+jUtLY1f//rXbN26tdH7GvTV7P3fF8n+7p9M/a9N+HSr637rofEhcmw83x/6v3r3OXv2LN9//z333HNPs3EJ+1OpVGzYsIHo6Ghl0XVWllKgMH26bQsiagshLlwAlMXYGzZs6BLvW5599tm6AqfDh52jGOLIEfNNc6eQ2+Tl5TFv3jylcKaWSgUDB8LYscrfzeXOa3MdRqNSBHL4sPK3yYRWq2XmzJl88sknbNy4kT59+rT6Wxhi2TXhypW6+ZyBRWfOqKioFt1l3LhxnD59uv5jnpEBJ04oj/WYMTBoUMs6ixiNSsHLkSPmx7zW5MmT2/yYCyGEs+o4n1ILu3NxceE///M/efDBB3nqqae4dOlSo9ddLzPw9ndFPBrpzZhQD6d+kWoymTicW8VnWWXom+7izl133cVf/vIX7r33XvsFJ4QQTiAmJob09HQSExM5cEBJmGVc05FxTUe4vxsxvT0I83Olt48b7ha7/1YbTFwt1XO52EDG1Spz9wHRtOnTp7Ns2TK0Wi0Z13TE9NK1qwvHnZzN15mLUwICApg2bVqbxikpKWHHjh28++679XcjvM2VK1c4deoU27ZtA5Q3+ElJSUyfPt2uC2Ti4uLIyspCZzDywanLLLgvot1jbj/5EzqD0Ty+EEKIrqO5HZA8XFWE+LkS6utGHz83vN1VuLmo0BtNlFWbuFKsJ7dET16xgSqDknS25g5ItiB5AckLCCFEU/z8/Mw7iYq2scwLaHNzCQwJwc+GXYiKr11DW9PFqrPmBUaOHGmer7yw0L7FEFptvThsQaVSERsbS6wzLe4QQgghWqFvQgIP+ftz5He/o+LGDauP7xUczNg//5mezexuLURHsWvXrkbPR034f/WOLxz9B399ZRalN683OZafnx8bNmzgySefbPIaHx8ftmzZYu72V1xc3Oh157/Zz9tPjuTfX9vKgFEP18X18P9rUAxR+31IMYRzCgkJYc+ePcTFxVFRUQFnzsDWrTBtGmg01p+wvLxeIYRGo2HPnj1dZjH2pEmTCA8PVzZXOn8ebt5s307/7VVQoMQBhIeHM3Fiw44z3377bV2Xglpt7VLg4qIUgAwerHzvBw+auxTs3buXqKioNnUpqPf+uAWdu+3KohiiNe/ja/9v1vssymRSChvOnavrxlH75/ZuHHl5dX+q6nfFDggIYPXq1TzzzDNO/TmOEEK0hWxrZyUmk4njx4/zzjvvMHPmTIYNG0ZISAg9evQgJCSEYcOGMXPmTN555x2OHz9er4W4s7vvvvvIyMjg6aefbvIavRH+dq6MbSdLKNM1s5rAgcp0RradLOHv55pf8PDEE0+Qnp4uCx6EEF1WaGgo+/btY/PmzQQEBJjP5xTp+fu5MtZ8V8zLh27x+leFvPFNIa9/VcjLh26x5rti/n6urF4hhL+/vwO+g47B19eX5cuXm4+Tz5ZSXm2b59DyaiPJZ0vNxytWrGj1wgOTycTmzZvp27cvSUlJDRY8uKjA38OF7l4u+Hu44HLbe+fMzEySkpLo27cvmzdvtttrofnz55tvLz98gVJd+wp1SnV6Vhyp20nTcnwhhBCdW15eHo8++igzZ840F0KogEFB7swe7ssfxwfy/Eh/Hh3oTWxvDwYFqRnQzZ1BQWpie3vw6EBvnh/pzx/HBzJ7uC+Dgtypfbqs3QHp0Ucf5cqVKw77HpsieQEhhBDC+m7PC1w+eRK9rmGHTWvQ63RcPnnSfGyLvAAqFe6enqi9vXH39FR2irRgj7zA6NGjzbcLLRYd2IPlfJZxCCGEEKK+XqNHM+nTTwl58EGrjhvy4INM+vRTKYQQnUZjxRCu7moG3T8ZAH21jv2rf8eWpEeaLYQYPXo0J06caLYQwtJTTz1FRkYGo5r5v1RScI0tSY9w4O1lGKqrARh8/2Rc3Rp2Z2+qqEM4h3HjxrF79268vLyUE1lZsHy5UhhhTZmZ8NZb9Qohdu/e3eqF7x2Zq6sr8+bNUw5MJqUYwJFSUsydAubPn4+rq2u9L6emphIXF1dXCOHrCzNnwtNPt7+Io3t3ZZyZM5VxgcLCQuLi4khNTW3VUMHBwYSGhioHeXlKNwRnYDSaiyHCwsLo0aNHq+6uUql49tlnyc7O5o033iA8PLzui1VVcOkSfP01fPQRbN4MGzYof3/0kXL+0qV6hRDh4eG88cYbXLhwwek25RJCCGuRYoh2KikpYd26dQwdOpR7772XF154gW3btnHq1CmuXLlCQUFBvR2QXnjhBe69916GDh3KunXrKCkpcfS30CJ+fn7s2LGDbdu24e3t3eR1Z/KrWXm0iIu3qu0Y3Z1dvKXEdSb/znGtW7cOPz8/O0QlhBDOS6VSMXv2bH766SfWrVvXoG2f0QRFVUZuVRgpqjJivO3z6+joaNatW0dGTTW/aNzs2bPNuywUV5nYeqIEncG6iwF0BhNbMkoorlLGnTRpErNmzWrVGLm5uTzyyCPMmTMHrcVOh/0C3Pj5IG9euM+P18d34+UHAln6b4G8/EAgr4/vxgv3+fHzQd6E+9c1I9NqtcyZM4dHHnmEXDvszhAVFUV8fDwAOUUVvJjS9K6VLfFiSiY5RRUAxMfH12+9KYQQotP69ttviY6OrtcKOqaXmpfGBfBcjB+De6hxaWHy2EWlYnAPNc/F+PHSuABietV1hqrdAenbb7+1+vfQXpIXEEIIIazPMi+gr6zkh2PHMOit223ToNfzw7Fj6CsrAevmBTTduhESHc3dDzxA9OTJ3JOQwOAJE7gnIYHoyZO5+4EHCImORtOtm/k+tswLxMbGmnNY5bduUXFbJy9bqSgqovzWLUDJiY0YMcIu8wohhBAdlWdgIA+88w6xy5bhom5fx2wXtZrYZct44J138LRjVyghbCk7O5tTp041OD9g1AQ8ffy4efkiG2Y/yFfbVjQ5hkqlYtmyZXz11Vf079+/VfNHRETw9ddf87vf/a7JBbMmk4kv31/O+uce5Obli3j6+jNg9IQG1508eZKLFy+2an5hX7UL0ANrf4eWlMD778OHHyo7+LdHQYEyzrZtUKps3BcQEEBKSgoTJjT8eensEhMT6zajzMiwftFJS2VmmrsyBAQEMGfOnHpf/uabb3j88ceVjiEAkZGwZAlY+3PxIUOUcSMjAaioqODxxx9v9ecj5g0JqqrM3S4c7tw5czFCc8VldxIUFMTSpUu5ePEie/bsYerUqYSFhbXovmFhYUydOpXPPvuMixcvsnTpUoKCgtocixBCODuVqSO1KHAiJpOJLVu2sGTJknrJ/1ouKvBVu+DmouyOWKJruFAUlBcVy5cvZ/bs2c1W3eXn5xMcHFzv3Pfff++QJ6lLly4xd+7cRt981VIBD/f3YkKEF663bw1tRwajidRLFfzzhwpa+oPuqMe1sykoKGjQ7lAe2/aTx9U25HG9M5PJxKlTpzh+/DgnT57k1KlTFBYWotPpUKvVBAYGMnToUIYNG8bIkSMZOnQoKpXKqo+toaqK4vPn8Rs4EFcPD2t9aw535coVJkyYQEFBAaAUGMwa7ovGvf01q+XVRrZklJi7dQQFBfGPf/yjVe1GT58+za9+9StzfKAs/nywnxd9fN2auWd9eSV6vvyxgoxrdbtcBgUF8fHHHxMdHd3icdrixx9/5MEHH6S8vByA5XFDWDz27laPs+LwBZakKkkpjUbDF198Qb9+/awZaqclv2dtQx5X22jscb1x40ard20RnUdqamq9xL+vWsUTg30YEty+D+stnbmhY9fZUkp0yjtXLy8vdu/eTVxcnPkayQu0jeQFHEOeo2xHHlvbkMfVdiQvcGe35wU03brRf9Qo3Nq5MBCUjhA/HDtmXqhvrbxAQGgowQMG4NWKjqAVRUXcyM5Ga1EAYYu8wNatW3nppZfMcYbHxlpt7KbkpKWZv68333yTmTNn2nzOjkZ+z9qGPK62IXkB4aycKS9gTSXZ2Zz+4x8p++mnVt/XOzyc6Fdfxfeuu9o8v/wutQ15XNvn7bff5vXXX29w/ok/bMLV3Z3db7xAVVnTG6/27NmTd999l/vvv7/dsXz11Vf8x3/8B9evN919wsPbl58vewd9VRW7/ji3wddfeeUVXnjhhXbHYkvyMwtXr15lyZIl9XfmV6lg4EAYMwYGDQKXFnx+bTQqC8GPHFEWpt+2LPGLL75o8Fi3VGfIC3z00Uf8+te/Vg58fZViAI3GfgGUlytdOmqKU9asWcOvfvUr85evXr3Kz372s7q1kFFRMG0auLV8XUCr6fWwY4e5OCQgIICvvvqKXr16tejuKSkpTJ8+XTkYNAiee85Wkbbc5s3K/wNg586d9T7rsYb8/HxOnz7N2bNnKS8vN6/b0Wg0DB48mKFDhzrV7y/5HWs78tjahuQFOiYphmiD3NxcEhMTOXDgQL3z/QLcGN7LgzA/V3r7uOHuWvdhf7XBxNVSPZeLDWRcrTIvSqw1ceJENm3aVNe66TaNJTc6gnB/N6ZF+xDo5Xrni62ssMLAztOlDR5rIYQQHdNvw8KI9fXleHExK+3QUcCR/DxUTB3sw+AebV/4cDZfR/LZUnNHiM4cV1vMj+3HW/FR+KjvnLgp1el5MSWT9Wk/2j4wIYRTkuRG1/XNN98QHx9vLoSI7O7OtGgfqxQt3q682sjO06Vk3VQ6F3h5eZGammpuFS55gdaTvIAQQnQuXSkv4ObpSdjw4fj17NnmMYqvXePyyZPmjhCdOa7m9B81Cr8WLqBoi+Jr1/jh2DGbjS+EcA6SFxDOoKPmBVpCrVLxX/37E+7p2eL75FRW8l8//IBOlruILmTQ/Y9w7ut9jg6jSc4en2gnDw8ICan74+2tLJDX66GsDPLy6v7U7IhvbZ0yLxAZCbNm2bbYoJZeD1u2wIULLbve3rFt3QpZWe0bR6WCl16C7t2tE1dbFBTAm282KAQSQnRskhdwflIM0UoZGRkkJCSQn59vPmet3ZF79OjBwYMHiYmJaXB9R05ueLqpeHaYLwO6udttzuxb1Ww7WUKlXn68hRCiM+jm5saamvaIAAuysijUd/5FbTG91Pysnxch7XyNYQ3W7lix9UQJP2od+28Y7u/F4jEDmDGsL/6eDV+nFFVWs/3kT6w4kk1OUYUDIhRCOAtJbnRNeXl5REdHU1hYCEBUsJpp0T642bDLgd5oYsepEs7kKwURgYGBZGZm0qdPH8kLtJLkBYQQonPpqnkBa3VgsAZbdqywJTdPTwaOH2+VuG+n1+k4f+iQ3Qo7hBCOI3kB0VrFxcVkZ2dTVVWFh4cHAwYMwM/Pr11jduS8wJ24q1Ssi4zEy7XlGylUGAzMz8pCL8tdhBCiS+jUeYEhQ2D6dLt2X7gjJ+ha0WYxMfD009aJqS0+/BAyMhw3vxDCJiQv4PykGKIV0tPTeeihhygqKgJsszuyv78/hw4dalAQ0dGTG55uKn5/fyCebrZbNFKrUm/i9a8KqTLIj7YQQnQW8YGBPNu7t/n4/atXSa1ZmNgVhPu7EdO7bd2nrKFfgBuJI/xQu1rveVxnMLEpvdjhBREAalcXhvb0Y1hPf3zUrpTqDJy8XsSp68XoDEZHhyeEcAKS3Oh6TCYTjz76KHv37gWUjhCzhvvatBCilt5oYuuJEnOHiMmTJ7Nnzx4KCgokL9BCkhcQQojOp6vnBTTduhEYEoJXQABe/v64WCwUNBoMVBQVUaHVUpibS7kNHhdNt25EjBmDqxUXZhj0ei4dOWKXgoiOHr8QwvEkLyBaIjMzk/Xr15OamkpWI7saR0ZGEhcXx/z584mKimr1+B19vUBzYnx8WNK3b6vvt/ynn8ho74JJIYQQHUKnzwtERsK0abYpPigvVwohWtoRAmDmTKVIw94yM2HbtvaP09HjF0I4HckLOD879DHqHHJzc5k4caK5EMJauyMP7qFmcUCAeXfkoqIiEhISSE9PJzQ01BqhO4VKvYmfiqqJ7G793Zdu91NRtSx4EEKITube23ZMus/Pr3MlN+4gp0hvLnJwUYGv2gVXFzAYoURnxGjDpz0/DxWzhvtatRACQO2qjLviiNZcFOooOoOR41e0HL+idWgcQgghnMf27dvNhRC+apXNO0JYcnNR5nvrsJZSnYm9e/fywQcfMGnSJLvMbyuSFxBCCNEeXT0vUH7rVt2ie5UKdw8PVC4umIxGqquqwIZ7Xrl5etJ/1CirFhIAuLq50X/UKLt0Vii/dYtLR450yM4WQgghnN/FixdJSkoiJSWl2euysrLIyspi7dq1xMfHs27dOiIiIuwUpXO7r41dM+7185NiCCGE6CI6fV4gKwuWL4cnnrDuIv7MTNi1q3XdFmJiHFNIABAVpczf3s4Ku3ZB//7272yxa5f95hNCCFGPFEO0gMlkYs6cOeTn5wPW3x1Z4+5C4gg/8+7I+fn5JCYmsm/fPlSqpuf4/vvvCQoKskoM1nLixAmefvppCgoKGnzNz6N9hSMt1dQ8QUFBfPjhhwwfPtx8rqCggHvuuafedc74uHZE8tjahjyutiGPq+1Y47HVFRby5RNPgLFuh/57fH3JzcpCHRBgrVCdTmlpKcnJyWzdupWzZ8+azxtNUFTVdLeCwYMHM2vWLKZOnYqPj0+b5o2JiTEXgE4d7NPu4s+maNxdmDrYhy0nSgClQ1ZGRkab4m6Ls2fPsn37dr788ksuXrxIYw3Tnn76aebPn8+gQYPsElNnJb9nbUMeV9to7HEVXUtBQQELFy40Hz9hw+fCpmjcXXhisA/bTirPkQsXLuS+++5rcJ0z/p+XvIAAeVxtSR5b25DH1XYkL9B2TeUFMJmobqZ4wNp5gbDhw61SQNAYN7WasGHD+OHYMcD6eYHTp0/zi1/8guLiYspv3eL8oUOEDR+OX8+ebR6z+No1Lp88aS7g8PPz429/+xvR0dFWibmzkt+ztiGPq21IXkC0xsaNG1m0aBHl5eXmc67uanpHDqXX3dF4aHypKi/h2oXTXM06haFaB0BKSgrR0dGsWrWKxMTENs/fGf7PG/V6vvzFL9CXlLT6vg+HhfHH48dxaUfRpvwutQ15XNvm2rVrDBs2rNHPq5rjqMf273//O4sXL6akBf9/VSoVp06domc7XovbkvzM2oa1HtfOnBc4duwYzzzzDFqtFkpK4P33lWKAhATo3r3tAxcUQEpKvaKCgIAAPvjgA0aNGlXvUoPBwL333ktubi6oVMrcjhQfDydOgMlEWFgY3333Ha4WHTKbYjKZmD59OqmpqcpjuXMnzJoFVt7coVF6vdJ9o6boJD4+ng8++KDZdZ9dSUf4HZufn8+pU6c4d+4cZWVlVFdX4+7ujre3N4MGDWLo0KFO2RWgIzy2HZHkBTomKYZogS1btnDw4EHAfrsjHzhwgK1btzJ79uwm7xMUFOR0v2QfeOABdDpdg/OBni709L7zCxNr6OntSqCnC4WV9ReK6nQ6HnjgATw8PJq9vzM+rp2FPLa2IY+rbcjjajutfWyzDx2ql9gAwGik4sQJQn75SytH5zx69OjBiy++yJIlS0hPT+fo0aMcP36c9PR08vPzuXr1ar3r33jjDeLi4hgxYkS73lQnJyebFzzE9FIzuIdtd28e3ENNTC81Gdd0FBUVcfDgQebPn2/TOWv16NGDBx54AIDi4mKOHz/Oww8/XO+aVatWye8CG5Hfs7Yhj6sQ7bdp06Z6z4VDgm3fyaAxUcF1z5FarZadO3c2uMYZ/89LXkA0RR5X25HH1jbkcbUdyQu0jDPkBQJCQ9tVONASfr16ERAaijY31+p5gYceeogvvviChIQE8vPz0VdW8sPRowSEhhI8YABe/v4tHquiqIgb2dloc3PN53r06EFKSkq9QkvRcvJ71jbkcRXCfl577TVeffVV83FA73Duf2YRIyZPw9O34XNMZUkR6Xt38vUHK9FezaG8vJy5c+dy/fp1Xn755TbF0Bn+z1/99tsmCyFCH36Y4YsXc2L5cnL/+c8GX9eXlGD84Qd6jh1r1Zg6w+PqjORxvbO//vWvrS6EAMc9tomJicTFxfHUU09x9OjRZq81mUx89dVXJCUl2Sm69pOfWdtoy+PamfMCU6ZMITMzk3nz5pm7VZORoRQDDBwIY8bAoEHg0oKNhoxGOHcOjhyB8+frdZGcPHkyGzdupE+fPg3u9tlnnymFEKDM2Z4iDGsIClLiOHeOy5cvk5aWxuTJk1t0161btxIdHU1hYaHSbWPHDpg+3bYFEbWFEBcuABAYGMjWrVsJDg623ZydgKN/xxoMBvbt28f27ds5evRo3f+BZoSGhjJ69GieffZZJk2a1KIiHUdw9GMrhKPYd2vDDqikpIQlS5aYj+2xO3KtllZQO5N//OMfFBcXNzgfHay2W7WjSqUiqpHFKsXFxXz++ed2iUEIIYT1/JSa2uj5y02c72xUKhWxsbH8x3/8B1u3buXkyZOcPHmywXXPPfccsbGx7Xq+NZlMvPvuu+bjB/t5tXms1viZxTzvvvtumxK97eXn5ye7OAohhMBgMLB+/XoAVEDCXXZsodyI+Ls01D6zb9u2zaGxtJTkBYQQQlib5AUclxcIHjCgzWO1huU81s4LxMTEkJ6ezsSJE83ntLm5ZH3xBRe+/pqCS5cou3ULo8FQ735Gg4GyW7couHSJC199RdYXX9QrhJg4cSLp6elSCCGEEF3Uxo0b6xVCjJo6l998ksHYJ5MaLYQA8PT1Z+yTSfzmkwxGTZ1rPv/KK6+wceNGm8fsrBp7TeeiVnPvK69w/+rV+IWHc//bbzPy5ZdxaaRbVVd5TSi6hl27djX7dZVKxW9/+1s7RdMy/fr146uvvuL3v//9Hd+L3On7E6IpnT0vEBISwp49e3j//ffxry3aN5mUwoatW+HVV2HdOvi//4O0NOV8drbyd1qacn7dOuW6rVuV8zXvqwMCAti2bRt79uxptBACbvvswcoFhm02Zoz55vvvv9/iu9U+ll5eNesPzpxRHhOLLl5WVV4OW7Yo8wAajabZx1o4XkFBAW+88QZ33XUXjz32GMnJyS0qhADIzc0lOTmZRx99lLvuuos33nij0S7pQgjHkGKIO9ixY4fSigr77o4MNLnzozNr6s1LdE/77qTZ1Hzy5koIITqWKq2W69991+jXrh07hq5mp0JhHWlpaWRmZgLQL8CNPr72aSIW4utGuL8y1+nTp0lPT7fLvEIIIcTt9u/fz08//QTAwCB3umscu6tLkMaVgd3dAbh8+bJDY2kpyQsIIYSwJskL2JdlXkDTrVurOie0h5e/P5pu3QDb5AVCQ0PZt28fmzdvJiAgwHy+/NYt8k6fJvvrrzm9dy/fHzzI2dRUvj94kNN795L99dfknT5NeWGh+T4BAQFs3ryZffv2ERoaatU4hRBCdAwXL15k0aJF5uNHfvsmP1/2Dh4an2buVcdD48PPl73DI4v+x3xu0aJFXLp0yeqxOjujwdCg44P/XXcx8eOPufvJJ80Lq1UqFZFPPcXEjz/G/6676l2f+/nnDYoaheiITCYT33zzTZNf79OnD59//jlLly61Y1Qt4+7uzuuvv87nn3/e7ALgb775xiEboomOravkBVQqFc8++yzZ2dm88cYbhIeH132xqgouXYKvv4aPPoLNm2HDBuXvjz5Szl+6pFxXIzw8nDfeeIMLFy4wY8aMZouVzJ1dPDyUjgzOYNAgJR7g2LFjrbrruHHj2L17d11BRFYWLF9uLliwmsxMeOstc0cIjUbD7t27GTdunHXnEVZhMpnYtm0bAwYMYNmyZeTk5NR90cMDIiLggQfgySfhuedg3jzl7yefVM5HRJh/JgFycnJYtmwZd999N9u2bZPnNyGcgH1WuHVQjtwdOeOaDlB2QZo3b55d5m2v6upqdu/e3eC8n4eKvv72/VEL93fDT62iWFf/iWb37t1s2LABN1u2vxJCCNEixTk5nF6zhqpmEhS6oiJMen2jXzPp9fwzMRF1Mx/Me/j7E/3CC/hZJgtEkyxb2A7v5dHMldYX09uDnCK9OY7Y2Fi7zi+EEEJA/R2QxoZ6OjCSOmPCPDl3s9rRYbSI5AWEEEK0huQFnI9lXiAwJMSucweGhFB+65Y5DmvnBVQqFbNnz+aXv/wlO3fuZO3atebCDwBMJqorK5u8f3R0NElJSUybNg1fX1+rxiaEEKJjSUpKorxmd+FRU+dy//TftGmc+59ZxM3LFzmWvJHy8nKef/55Dh48aMVInV/F9etU3rxpPh7wq18x4sUXcfNqfF1GQGQkCR9/TPqbb5L9178CUHnzJhXXr+MtOzCLDk6v1ze5WPmxxx5j8+bNBAUFkZ+fb+fIWm78+PGcPHmS2bNns2fPnkav0ev1uLu72zky4awkL9BQUFAQS5cu5cUXX2T//v1s27aNY8eOtWizpJCQEMaMGcPMmTOZOHEirq533uzpxo0bdbvih4SAi5Psq+3iosRz6RKXL18mPz+fHj16tPjucXFxpKam8uijj1JYWAglJfD++xATAwkJ0L1722MrKICUFMjIMJ8KDAxkz549UgjhpPLy8pg3bx579+6tO6lSKcU/Y8cqfzf3s1+bozIa4fx5OHxY+dtkQqvVMnPmTD755BM2btwoXUGEcCD55LcZjt4dOadIb94FqW/fvnaZuz2+/PJLbtV8WGEpKliNSztac7eFi0rFkGA1R3Kr6p2/efMmX375JQ8//LBd4xFCCNHQ9xs3krN/f7vGuNWC6n1XDw9G//d/t2ueruL48ePm22F+9t0J23I+yziEEEIIe6pdAOjhqmJgkHN8KDcoyB0PVxVVBuffVUbyAkIIIVpD8gLOx/L9uCYw0K5ze1l0bLBlXsDX15f58+czb9480tPTOXr0KMePHyc9PZ38/HyuXr1a7/o33niDuLg4RowY0exOmkIIIbqG06dPk5KSAkBA73Am/ebP7Rpv0m/+zPlvD6K9mkNKSgqZmZlERUVZI9QOwatnT/o9+iiFZ88ydMECwuLi7ngfNy8v7vvDH+g1Zgyn164l8J570PTqZYdohbAtd3d3nnvuOdatW2c+5+HhwYoVK0hKSuowr0WDgoLYvXs3a9euZcmSJVRZ7FQ/Z84cKYQQ9UheoGmurq5MmTKFKVOmAErRQnp6OpmZmZSVlVFYWMjq1avr3ScjI6NVBQOgrI00c7buhzXFEKDEOXHixFbdfdy4cZw+fbr+IviMDDhxQln8PmaM0oGiJQUgRiOcOwdHjpgXwdeaPHmyLIJ3Yt9++21dUUytthbFuLjA4MHKn5s34eBBc1HM3r17iYqKkqIYYRc3btwgLS2NM2fOUFpaik6nQ61W4+Pjw5AhQ4iNjSU4ONjRYdqdFEM0w5l2R+4IxRDJycmNnh8abN/HzjxvT48Gix5AiVMWPQghhOP1eeABLu3eXe+NotWpVPR54AHbjd/JZNS8UXNRQW8f+75M7O3jhosKjCZIT0+369xCCCEE1N8BKcTP1e6L95violIR4uvKJW3ju185E8kLCCGEaA3JCzif2rwAKhWefn52ndvL31/Zlc9kskteQKVSERsbW68DRX5+foMPCp977rlWLyYRQgjReW3YsMF8+/5nFuGh8WnXeB4aH+5/5jfseXORefw1a9a0a8yOxMXVlbF/bltBSd/4ePrGx1s5IiEc6+233yY8PJxDhw4RFhbGokWLuOeeexwdVqupVCoWLFjAQw89xMqVK7l8+TLjx49n8eLFjg5NOBnJC7RccHAwEydONBcE5OfnNyiGaIszlsUkzraY36JjZWZmZquLIZQhQtizZw/bt29n4cKFFBUVKT9v584pfzw8lHlq/3h7g5sb6PVQVgZ5eXV/qup/1hAQEMDq1at55plnOkzBWleTmprK448/TkVFhXLC1xeeeAKGDGn/4N27w9NPw7BhsGsXlJRQWFhIXFwcu3fvJq4FRb5CtJTBYGDfvn1s376do0eP1nX0aUZoaCijR4/m2WefZdKkSS3qFtTRSTFEM5xpd+R///d/t+v8rWUwGPjb3/7W4Ly3u4r+gY75Mesf4Ia3u4qy6vovmv/2t7/xzjvvdIn/4EII4cz6JiTwkL8/R373Oypu3LD6+F7BwYz985/pOWqU1cfurAoKCgDwVbvg7mrfN+zurip81S4UVRm5adEWWwghhLAXyx2QQu3UGbKlQvzcnL4YQvICQgghWkvyAs6nNi/g7uGBi52fJ11cXXH38KC6slLyAkIIIZxWamoqAK7uakZMnmaVMUdMns6+lS9hqNaZxxdCdE1ubm689NJLvPTSS44OxSruueceNm3a5OgwhBOTvIDjlZaW1h14ezsukMZYxFNWVtbmYVQqFc8++yyTJ0/mvffeY/369eTk5ChfrKpSuk/UdKBoifDwcObPn8+cOXMICgpqc1zCtr755pv6hRCRkTBtGmg01p1oyBDo3x927oSsLCoqKnj88cdJTU2VDhGi3QoKCti0aRMbNmyo+73VQrm5uSQnJ5OcnEx4eDjz5s0jMTGxU//eakGfn67LGXZHho6xO/K3337LjUZemEYFq9u0m6bJZCL7VjVf5VSQfasaUxuqgF1dVAwJVjc4f/36dQ4fPtzq8YQQQlhfr9GjmfTpp4Q8+KBVxw158EEmffqpJDZaSafTAeDmoFeIrjXzVlU13MFZCHsoLi4mPT2dI0eOkJ6eTnFxsaNDEkLYkeUOSH38nK8YwtlJXkAIIURbSF7AudTmBVQOKhhUuSiJAckLCEeRvIAQojnFxcVkZWUB0DtyKJ6+/lYZ19PXn153RwOQlZVFSUmJVcYVQgghOgLJCzhWbR4AUDoiOBOLeKyRJwgKCmLp0qVcvHiRPXv2MHXqVMLCwlp037CwMKZOncpnn33GxYsXWbp0aadeUNzR5eXl8dhjj9UVQkRFwaxZ1i+EqKXRKOPXdJyoqKjg0Ucf5cqVK7aZT3R6JpOJbdu2MWDAAJYtW1a/EMLDAyIi4IEH4Mkn4bnnYN485e8nn1TOR0Qo19XIyclh2bJl3H333Wzbtq1Nn7l2BE72LOZcZHfkltu1a1ej56MbWXRwJ6U6I389U8rZgmrzucFB7vz7EB981K1bnRkdrOa7vIYviHbt2sX999/f6tiEEEJYn2dgIA+88w5ZH35IxvLlGC3fcLeSi1pNzJIlRD79tLQibAO1Wnne1hsdM7+hZl4PixflQthaZmYm69evJzU11fxhpqXIyEji4uKYP38+UVFRDohQCGEvljsgebs71+sIZ4unMZIXEEII0VaSF3AetXkBk8HgkPlNRiUxIHkBYU+SFxAdhclkIi0tjaNHj3L8+HEyMjIoKChAp9OhVqsJCgoiJiaGkSNHMnr0aGJjY+W50Mqys7PNt2uLF6yld+RQ8r5PUzYGyM4mJibGquMLIYQQzkzyAo5TmwcAQO9k3akt4rFmnsDV1ZUpU6YwZcoUAG7cuEF6ejqZmZncuHGDt956q97133//PYMHD7ba/MK2TCYT8+bNo7CwUDlR2xHC1sU+bm4wfTps3QpZWRQWFjJ37lz27Nkjv4tEq+Tl5TFv3jz27t1bd1KlgoEDYexY5W+XZj4rjY1V/jYa4fx5OHxY+dtkQqvVMnPmTD755BM2btxInz59bPvN2Jl0hmiG7I7cMkajkU8//bTBeS83FXd1c2/VWBduVvO/R7T1FjwAnC2oZuURLRduVjdxz8YN6OaOp1vDJ5RPP/2001Y4CSFER6RSqRg4bRoJf/kLfhERbRrDLyKChI8+YuC0afJmoo1qdy8o0RmpNtj3ebLaYKJEpyx66N69u13nFl3TxYsXSUhIIDo6mrVr1za64AGU3djWrl1LdHQ0CQkJXGpFm1QhRMdiuQOSm4tzvZZwtnhuJ3kBIYQQ7SV5AedQmxeorqrCaOeCCKPBQHXNZyGSFxD2IHkB0VGUlJSwbt06hg4dyr333ssLL7zAtm3bOHXqFFeuXKGgoIArV65w6tQptm3bxgsvvMC9997L0KFDWbdunXQZsCLLz+w9NL5WHVvt5WO+XVlZadWxhRBCiI5A8gKO4eNT9xqEsjLHBdIYi3i8vb1tNk1wcDATJ05kyZIlvPjiiw2+Lh0gOpbt27fXLSL39bVPIUQtNzdlvpr/V3v37uWDDz6wz9yiU/j222+Jjo6uXwgREwMvvaR0fhg8uPlCCEsuLsr1zz2n3N+i4H7v3r1ERUXx7bffWvk7cCwphmiG7I7cMv/617/Izc1tcP6eHuoWL9gwGE3su1DGpvRiSnSNL0Yo1pnYlF7MvgtlGIwtW7Dg5qLinh4NF15cvnyZf/3rXy0aQwghhP0EDhrExL/+lYDIyFbdLyAykol//SuBAwfaKLKuoXa3KaMJrpbad+eHq6V6ap/eR4wYYde5RdezceNGhg4dSkpKivmc2tWFe/sE8FxMOL8ZdRfPxYRzb58A1K51b5lSUlKIjo5m06ZNjghbCGFjljsg6Vv4ntNenC2e20leQAghhLVIXsCxzLtQm0xUFhfbde6KoiKoKVSUvICwtcbyAu6uEBnqQsJIN34xzo2EkW5Ehrrg7lp3P8kLCHsymUxs3ryZvn37kpSURGZmZv0LVCrcPT1Re3vj7ump7BRpITMzk6SkJPr27cvmzZulGNwKLD+zryq3bpGJrqKuW6Wnp6dVxxZCCCE6EskL2NeQIUPqDq5ccVwgjcnLM9+ULn2iJQoKCli4cGHdiSeeAI3GvkFoNMq8NRYuXEhBQYF9YxAdUmpqKnFxcXVdTXx9YeZMePppaO/GMd27K+PMnKmMCxQWFhIXF0dqamr7xnYidip76piCgoK4cuWKeXdkd1f7VY12pN2Rk5OTGz0/tKe60fO3u1luYOfpUi4X33nRpQk49GMl2bf0TIv2obvG9Y73GRrsQfrVhi3UkpOTG63oFEII4VgqFxdKLd7YtkRpXh4q1zs/J4jmjRw5km3btgFwudhAX//W7eTcHpeL63acHDlypN3mFV3Pa6+9xquvvmo+Dvf3YsnYu3lmaBj+ng1/5osqq/ng1GWWH75ATlEF5eXlzJ07l+vXr/Pyyy/bM3QhhI1Z7oBUVu1ci0ScLZ7bSV5ACCGENUlewHEs8wLlhYVoAgPtNneFVlsvDiFs5fa8QHCAiqn3u/NwjBveng0/ByyrNPF5hp7kr6u5oTVJXkDYRW5uLomJiRw4cKDeeU23bgSGhKAJDMTTzw8Xi+c+o8FAZXEx5YWFFOblUX7rFgBarZY5c+aQnJzMpk2bCA0Ntev30pkMGDDAfPvahdNWHftq1ilA2RXbch4hhBCiK5K8gP3ExsbWHTSy4ZFDWfwM1ItTiCZs2rSJoqIi5SAmBiyLfewpKkqZPyMDrVbLe++9x9KlSx0Ti+gQvvnmGx5//HEqKiqUE5GRSpcRaxfzDBkC/fvDzp2QlUVFRQWPP/44qampjBs3zrpzOYB0hmiG7I58ZyaTiV27djU47+EKd3e78wLKjKtVrDxa1KIFD5YuF+tZebSIjKtVd7w2srs7Ho283t21a5fsgiKEEE7o6uHD6FvZglFfVsa1w4dtFFHXMXr0aPPtE9fu/BxrTZbP6ZZxCGFNGzdurLfgYX5sPzKTHmbBfRGNFkIA+Hu6s+C+CDKTHmZ+bD/z+VdeeYWNGzfaOmQhmlRcXEx6ejpHjhwhPT2dYjvv3NsZWe6AdKWV71FtLc/J4rEkeQEhhBDWJnkBx7F8P17YyoUn7WU5n+QFhK3cnheYfJ8bGxZ68dgY90YLIQC8PVU8NsadDQu9mHxf3R5zkhcQtpKRkcGIESPqFUIEhIYS+eCD3H3//QRFRKAJDKxXCAHg4uqKJjCQoIgI7r7/fiIffJAAi8KHAwcOMGLECDIyMuz2vXQ2fn5+RNbsUn016xSVJUVWGbeypMhcXBEZGYlvzU6dQgghRFcleQH7CQ4OriuWzcsDo9GxAdUyGs3FEGFhYfTo0cPBAQlnZzAYWL9+vXKgUkFCgmMDio83d+9bv349BoPhDncQXVVeXh6PPfZYXSFEVBTMmmW7riYajTJ+zefiFRUVPProo1xxtu5AbSDFEM2w3H3Icrdie+gouyOfOHGCH374ocH5wUHqZjtpVOlNfHymlA8zS6kyNL3woLndSaoMJj7MLOWvZ0qp0jc9hrurikFBDXejvHTpUsOWskIIIRzuchtbcLX1fqJObGysucXkj1o9V0rss/Ayr0RPTpEyV3R0tFMXgoqO6+LFiyxatMh8vCI+inVThuOjblmzPB+1G+umDGd5XN1i6UWLFnHp0iWrxypEUzIzM1mwYAEDBw7E39+f2NhYxo4dS2xsLP7+/gwcOJAFCxbI+5w2stxZKNdOz4Et5czFEJIXEEIIYW2SF3Acy7xA+a1bVBRZZ5HnnVQUFZl3MJe8gLCV2/MCiY+oeeHnHnh5tKwrvJeHihd+7kHipLrXlZIXENaWnp7O+PHjyc/PB8DN05P+o0cTHhuLl79/q8by8vcnPDaW/qNG4ebpCUB+fj7jx4+Xgoh2iIuLA8BQrSN9706rjJm+dweGal298YUQQoiuTPIC9mXekKCqCs6fd2wwtc6dU+IBRo0a5eBgREewf/9+fvrpJ+Vg4EDo3t2xAQUFKXEAOTk5Dbr+CQHKhnPz5s2jsLBQOVHbEcKtZWtY2szNDaZPV+YDCgsLmTt3boffQE6KIZohuyPfWWO7PwJE92y4yKBWbrGeVce0HL/S9GOqVqtZtWoVOTk5rFy5Enf3pneT/NeVKlYf05LbzOKQpuLZu3dvk/cRQghhf8bqavIOHWrTfXP/+U+M1dVWjqhrUalUJCUlmY+/+LHCLvN+aTFPUlISKlXLPoQWojWSkpIoLy8HlI4Qvx3Ttnbzi8febe4QUV5ezvPPP2+tEIVo0sWLF0lISCA6Opq1a9eSlZXV6HVZWVmsXbuW6OhoEhISZFFOK1nugJRXbMDoJAkfo8lEXonz7hgjeQEhhBDWJHkBx7o9L3AjO9su81rOI3kBYSuWeYHJ97nxxL/duYtZY564393cIULyAsKacnNzmThxIkU1hWiabt0YOH48fj17tmtcv169GDh+PJpu3QAoKioiISGB3NzcdsfcFc2fP998++sPVlJVXtqu8arKS/n6g1WNji+EEEJ0RZIXsL9nn3227sBZumscOWK+OXPmTMfFITqMbdu21R2MHeu4QCyNGWO++f777zsuDuG0tm/fXvc5pa+vfQoharm5KfP5+ADK56UffPCBfea2ESmGaIbsjtw8k8lEcnJyg/PuLjS646LRZOKrnAre+a6IgvKm22pFRkZy9OhRFi5ciIuLC7/5zW84evSoue1oY/LLjbzzXRFf5VQ0WqE0qLsat0Z+2j/77LMmxxRCCGF/17/7Dl1xcaNfC334Yabs20foQw81+nVdcTHX//UvW4bXJUyfPp2AgAAAMq7pOJuvs+l8Z/N1ZFxT5ggICGDatGk2nU90TadPnyYlJQWAcH8v3oqPatd4b8VHEe7vBUBKSorsKi5sauPGjQwdOtT8MwygdnXh3j4BPBcTzm9G3cVzMeHc2ycAtWvdm56UlBSio6PZtGmTI8LusGo3I6gymDhf4BwfmpwrqG62c4IjSV5ACCGEtUlewPEs8wLa3FyKr12z6XzF166hrVmQK3kBYSuWeYHgABVzJjVduNsScyapCQ5QinYkLyCswWQyMWfOHHNHCE23bkSMGYObun0/q7Xc1GoixowxF0Tk5+eTmJjY4Xd9dISoqCji4+MB0F7NYf+qpe0ab/+qpWiv5gAQHx/PkCFD7nAPIYQQonOTvID9TZo0ifDwcOXg/Hm4edOxARUUmDtUhIeHM3HiRMfGIzqEo0ePKjc8PMwdGRxu0CAlHuDYsWMODkY4m4KCAhYuXFh34oknQKOxbxAajTJvjYULF1JQUGDfGKxIiiGaIbsjN+/777/nfCPtsQYGqVG71o+5VGdka0YJe7LKaW4Nx+zZs0lLSyMmJqbe+REjRpCWlsasWbOavK/BBHuyytlyooRSXf1FFR5uKgZ2b7jLT1M7qgohhHCMxlpXuqjV3PvKK9y/ejV+4eHc//bbjHz5ZVwa+SBIWl+2n6+vL8uXLzcfJ58tpby66cWK7VFebST5bN3OWStWrMDX19cmc4mubcOGDebbS8bejY+6fdX0Pmo3Flt0lrAcXwhreu2115g3b55599Jwfy/WTBrKjSWT+C7xQd57LIaVE6N577EYvkt8kBtLJrFm0lBzsU55eTlz587l9ddfd+S30aFY7oB0OLfSgZHUOXLZOeJojOQFhBBCWJvkBRzv9rzA5ZMn0etss1GCXqfj8smT5mPJCwhbsXzfPvV+d7w82ve5m5eHql5nCckLiPbasmULBw8eBMDN05P+o0bhauXdIF3d3Og/ahRunp4AHDhwgK1bt1p1jq5i3bp1aGoWqRxL3sjXH6xs0zhff7CSY8kbAdBoNKxbt85qMQohhBAdleQF7M/V1ZV58+YpByYT1LwudZiUFCUOlK5Zrq6ujo1HOL0bN27Udb4LCQEXJ1kS7eKixANcvnzZXPwuBMCmTZvMnSGJiQFHFcZHRSnzA1qtlvfee88xcViBk/zPd16yO3LTdu3a1ej5ocH1X2xm3dSx4oiWczeb3lXTz8+Pv/zlL2zevBmfmtYrt/Px8WHLli18+OGH+Pn5NTnWuYJq/veIlqyb9f+thvb0aPI+QgghHM9oMJD7z3/WO+d/111M/Phj7n7ySXNxoEqlIvKpp5j48cf433VXvetzP/8co8Fgt5g7q9mzZ5t3WCiuMrH1RAk6K+9IrTOY2JJRQnGVMu6kSZOaXdwoRHuk1iQ+1a4uPDM0zCpjzhjW17wLf6okVoUNbNy4kVdffdV8PD+2H5lJD7Pgvgj8PRsu6Abw93RnwX0RZCY9zPzYfubzr7zyChs3brR1yJ2C5Q5I5wuquVnu2NcVBeUGzte8lw4Ls87vL2uSvIAQQghrkryA87DMC+grK/nh2DEMeut2zjbo9fxw7Bj6SqXwU/ICwpZq37e7u8LDMdZZYD5hhBvurvXHF6ItSkpKWLJkifk4bPhwq3WEuJ2bWk3YsGHm48WLF1NSUmKTuTqziIgIVq6sK4DYt/Il/v6nBVSVlzZzrzpV5aX8/U8L2LfyJfO5VatWERERYfVYhRBCiI5E8gKOk5iYaF4fSUYGnDnjmEAyM5X5UdZNzpkzxzFxiA4lLS2t7iA01HGBNKamGAJui1N0aQaDgfXr1ysHKhUkJDg2oPh4JQ5g/fr1GDro86gUQ9yB7I7ctMYWPbiqYHAPZWGO3mhi74UyNqWXUKpregHl6NGjOXHiBE8++WSL5n3qqafIyMhg1KhRTV5TojPxXnoJ+y6UYTAqcw8OcsfVOZtsCCGEACquX6fSouXigF/9ioSPPyYgMrLR6wMiI0n4+GMG/Pu/m89V3rxJxfXrNo+1s1OpVGzatIkePXoA8KNWz6b0Yqu9BiqvNrIxrZicImUhRY8ePdi4caPTdsMSHVtxcbF51+9hPf2aXETeWv6e7gztqSzEzcrKkg+OhVVdvHiRRYsWmY9XxEexbsrwFnc18VG7sW7KcJbH1e0gsWjRIi5dumT1WDsbyx2QTMDBi+UOjSflYjm176Ytu1Y4C8kLCCGEsCbJCziP2/MC5bducenIEat1iNDrdFw6coTyW7cAyQsI27LMC/Tv7YK3p3V+zrw9VfTrpXzMKnkB0R47duxAq9UCEBAail/Pnjadz69XLwJqFghptVp27txp0/k6q7lz5/LHP/7RfHwseSOrfhnD4Y/WUllS1Oh9KkuKOPzRWlb9MsbcEQKUzqCJiYk2j1kIIYRwdpIXcJygoCBWrVpVd2LXLii38+cj5eXKvDVWr15NUFCQfWMQHdIZy+KdPn0cF0hjLIohMjMzHRiIcCb79+/np59+Ug4GDoTu3R0bUFCQEgeQk5PDgQMHHBtPG0kxRAvI7sgNZWdnc+rUqQbnI7u74+nmQkG5gXf/VcQXP1Y2OYZKpWLZsmV89dVX9O/fv1XzR0RE8PXXX/O73/2uyQ9ITMChHytZ+69iCsoNeLm7cHd36yx+E0IIYX1ePXvS79FH8R8wgPtXreK+V1/Fzcur2fu4eXlx3x/+wL+tXIn/gAH0e+wxNL162Snizi00NJSDBw/i7+8PKAURK45o290l62y+sjN0bSGEv78/Bw8eJNTZKvRFp5GdnW2+PbSnv1XHHlYznslkqjePEO2VlJREeU2SeX5sP347ZkCbxlk89m5zh4jy8nKef/55a4XYqVnugJRxTceZG7btENmUzBvO3TlS8gJCCCGsTfICzuX2vED5rVucP3SI4nYuKim+do3zhw6ZCyEkLyBszfL9ev9e1v1YNKK3Mp7kBURbmUwm3n33XfNx8IC2vf9vLct53n33XUwm637u3VW88sorbNiwAY1GA4D2ag573lzE6xNCeGf6GHb9cR573lrMrj/O453pY3h9Qgh73lyE9moOABqNho0bN/Lyyy878tsQQgghnIbkBRxrxowZTJ48WTkoKYGdO8HKXSKbpNfDjh1QqmwiPWXKFJ555hn7zC06vNJSiw5t3t6OC6QxFvGUlZU5MBDhTLZt21Z3MHas4wKxNGaM+eb777/vuDjawTq9YDu52l2QRowYQX5+vnl35FnDfdG4tz9xWl5tZEtGSYfaHbmx3R8BooPVpF+t4tOzZVQ1UzDSu3dvduzYwUMPPdTmGNzd3fnTn/7Eww8/zDPPPMPVq1cbve5ysZ5VR4t4YrA30cFqzhVUt3lOIYQQtuPi6srYP/+5TfftGx9P3/h4K0ckYmJiOHToEAkJCeTn51NcZWLLiRJieqn5WT8vQnxb/lIyr0TPlz9WmBd1gvKaJyUlheHDh9sgeiEUVVVV5tu+LdxVv6V81K7m25WVTS/2FaI1Tp8+TUpKCgDh/l68FR/VrvHeio9if/Z1cooqSElJITMzk6io9o3Z2dXugDRz5kwAdp0tpX9ggFXe/5fqjOQW67lWakBnMGEwgqsLqF1V9PJxJdTPDR+1C+XVRnZZdI5cvXo13R29K8htJC8ghBDC2iQv4HxuzwvoKyv54ehRAkJDCR4wAC//lhecVxQVcSM7G21urvmc5AWEPVjmBTQe1h3bS113W/ICoi3S0tLMu4NqunVr1e/V9vDy90fTrRvlt25x+vRp0tPTiY2Ntcvcnc3cuXOZMGECzz//vDmfY6jWkfd9GnnfpzV5v/j4eNatW0dERIS9QhVCCCGcnuQFHEulUrFhwwaio6MpLCyErCylQGH6dHCz4RLT2kKICxcACAwMZMOGDU69blI4F51lJ1Nb/qy2hUU8lvkJ0bUdPXpUueHhYe7I4HCDBinxVFVx7NgxR0fTJtIZooVkd+T6kpOTGz1/+oaOv2SWNrvgYcqUKZw6dapdCx4sPfzww5w8ebKuOrURVQYTH2aWkumgHT2FEEKIjiomJob09HRzlyxQdsledbSId74r4tvLlfxUVE31bc/91QYTPxVV8+3lSt75rohVR4vqFUJMnDiR9PR0WfAgbM7Do26lQ4nOuruXlOoM5tuenp5WHVt0XRs2bDDfXjL2bnzaWcTjo3ZjsUVnCcvxRdMsd0Aq0ZnYeboUvbH1O2UaTSa+z9fxwckSXv+qkP/vy0I2Z5Sw90I5qZcq+OePFaReqmDvhXI2Z5Tw/31ZyOtfFfLWt1pKdcp8zroDkuQFhBBCiK6hsbyANjeXrC++4MLXX1Nw6RJlt25hNBjq3c9oMFB26xYFly5x4auvyPrii3qFEJIXEPZimRcot/K6gwqLl5aSFxBtYV4AAQSGhNh1bsv5LOMQrRcREcHBgwc5ffo0CxYsYODAgQ0W76lUKgYOHMiCBQvIzMzk4MGDUgghhBBCCKcTEhLCnj178KrtyHHmDGzdCjXdzK2uvBy2bFHmQemctWfPHvr06WOb+USnpFZb7FRgr24mLWURj2V+QnRdN27cILc2RxoSAi5OsoTfxUWJB7h8+TL5+fkODqj1nKwUyrnJ7siKnJwcjh8/3ujXzjazu6JarWb58uUsWLDA6tWbPXr0YM+ePaxZs4YXX3yxfsVfC+MTQgghRONCQ0PZt28fW7duZfHixWi1WgByivTmgk4XFfiqXXB1AYMRSnRGGlszGhAQwIoVK5g1a5bs5iDsYsCAukXgp64XWXXskzXjqVSqevMI0R6pqakAqF1deGZomFXGnDGsL0tSz6AzGM3ji+bdvgNS1s1qdpwqYfpQX9xc7vz8VaYzciyviqO5lRRWGls1d1FV3fUuLi5ERUVx8+bNVn8PtiR5ASGEEKJraSovUH7rFuW3bikXqVS4e3igcnHBZDRSXVUFpoaJAckLCHuzfL/+w7XWvTa/k0tXlfEkLyDayvJ9lSYw0K5zewUENBqHaLuoqCjWrFkDQHFxMRcvXqSyshJPT08GDBiAr6+vgyMUQgghhLizcePGsXv3bh5//HEqKiqUDhHLl8MTT8CQIdabKDMTdu2CUqVLtkajYffu3YwbN856c4guwcfHp+6grMxxgTTGIh5vb28HBiKcRVqaRQdBZ9swPyQELl0ClDgtN8fpCJykrKTjkN2R4dNPP231fQYNGsR3333HCy+8YLMPOFQqFb/+9a85duwYA52lfYwQQgjRSahUKmbPns1PP/3EunXriIqKqvd1o0lZvHmrwkhRVcNCiOjoaNatW8dPP/3E7NmzZcGDsBs/Pz8iIyMBOHm9mKJK6yyCLaqs5tT1YgAiIyPlw0xhFcXFxWRlZQEwrKcf/p7uVhnX39OdoT39AMjKyqKkpMQq43Z2t++AdCa/mq0nSiivbnoBlclk4viVSv78rZb92eX1CiE8XFVEBLrxQF9Pnozy4bkYX+bF+vFcjC9PRvnwQF9PIgLd8HCte440Go38+c9/5u677+ajjz6y3TfbSpIXEEIIIbqeO+UFMJmorqxEV15OdWVlg0IIyQsIR7HMC/xw1UhZZes7vjWmrNLEjzXFFZIXEG2VkZGh3FCp8PTzs+vcXv7+UPO7OD093a5zdwV+fn7ExMQwZswYYmJi5HeEEEIIITqUuLg4UlNTCawt2C0pgfffhw8/hPZu3lRQoIyzbZu5ECIwMJCUlBQmTJjQvrFFlzTEskjnyhXHBdKYvDzzzQa5NNElnanphAOAs3XBseggmZmZ6cBA2kY6Q7RBa3dH1htMlOhMNJZeValUhISE0LNnT/7+978zevRoYmNjnfqDgF27drXq+jlz5rBq1Sq7VbcNHz6ctLQ0Fi5cyObNm+0ypxBCCNFV+Pr6Mn/+fObNm0d6ejpHjx7l+PHjpKenc/PmTaqqqvDw8KB79+6MGDGCkSNHMnr0aEaMGOHUr29E5xYXF0dWVhY6g5EPTl1mwX3tb0G//eRP6AxG8/hCWEN2drb59tCe/lYde1hPf45f0WIymcjOziYmJsaq43dWt++AlHWzmuWHtTwx2Ichwep61xZVGth1tqxe5wEVMDDInbGhngwMcselmefC2N5Ke1yjycT5gmoO51ZyvqAaE6DVavn1r39ti2+xTSQvIIQQQnRdkhcQHdGECRPIysqi2gCfZ+h5bEz7C8//ka6n2qDclryAaKuCggIA3D08cHF1tevcLq6uuHt4UF1Z6XTdCIUQQgghhOONGzeO06dPM2/ePPbu3auczMiAEydg4EAYMwYGDQKXFuzFbTTCuXNw5AicP19vA4XJkyezceNG+jjbomDRYcTGxtYd5OY6LpDGWBRD1ItTdFmlNUVgADhbtxCLeMqcrctKC0gxRBvV7oL0y1/+kp07d7J27dp61TC1uyPficlkIjc3l23btrFt2zZAqQJLSkpi+vTpTrdLxJUrVzh8+HCLrvX392fjxo38+7//u42jasjb25v33nuPuLg45s6dS3Fxsd1jEEIIITozlUpFbGysvGETHcL8+fNZu3YtAMsPX2Dm8L74qNv+VqhUp2fFkbpF6/Pnz293jEIAVFVVmW/7tuNntDE+6rpFFZWVlVYdu7Or3QHp0UcfpbCwkBKdifdPlhDTS03CXRq6a1z5QVvN1owSKvR1CXzLr7eGi0rF4B5qBvdQc7PcwMGL5fU6Szqa5AWEEEIIAZIXEB1Hbm4uJ0+eNB8nf11N3Ag3vDzaXpxTUWVi1zd1RdCSFxBtpdMp7/VUdi6EqKWqWbhmmY8QQgghhBCiVm0H7e3bt7Nw4UKKioqUQoZz55Q/Hh7KTuK1f7y9wc0N9HooK1MWgtf+ue01Z0BAAKtXr+aZZ56RzRNEuwQHBxMaGkpubq7ys2Y0tqxIx9aMRnMxRFhYGD169HBwQMIZ1OYBAOX3pTOxiKcj5gmc4H99x1a7C9KpU6c4fvw477zzDs8++yyhoaFNPlG7qMDfw4XuXi74e7jgcttlmZmZJCUl0bdvXzZv3ozJZJ2Wvdbwt7/9rUXxjBkzhhMnTjhkwYOlX/3qV5w8eZLRo0c7NA4hhBBCCOE4UVFRxMfHA5BTVMGLKe1r6fdiSiY5RRUAxMfH12+9KUQ7eHh4mG+X6PRWHbtUZzDf9vT0tOrYXUHtDkiTJ082n8u4puN/vtXy9lEtG44XmwshfNUqZg7z5elo31YXQtyuu8aVp6N9mTnMF1+1c3wYIHkBIYQQQgjRUWRkZDBixAi+/fZb87kbWhPv7W9fsfF7+3Xc0CqviSUvINpDrVY6DpoMhjtcaRsmo7Kxn2U+QgghhBBCCEsqlYpnn32W7Oxs3njjDcLDw+u+WFUFly7B11/DRx/B5s2wYYPy90cfKecvXapXCBEeHs4bb7zBhQsXmDFjhhRCCKsYNmyYcqOqSuk+4gzOnTP/7I8aNcrBwQhnUZsHAJTCMWdiEU9HzBNIMYSV1O6C9Pjjj3P9+nVyc3PrLQ7oF+DGzwd588J9frw+vhsvPxDI0n8L5OUHAnl9fDdeuM+Pnw/yJty/rrpGq9UyZ84cHnnkEa5cueKIb6uBXbt2Nft1lUrFyy+/zFdffUW/fv3sE9Qd9OvXj6+++orf//738gJKCCGEEKKLWrduHRqNBoD1aT+y4vCFNo2z4vAF1qf9CIBGo2HdunXWClEIBgwYYL596nqRVcc+WTOeSqWqN49oudodkN5//338/f0BMAGXSwwYat7+R3Z3Z8nYAIYEq5seqA2GBKtZMjaAyO7u9c4fO3bMqvO0hOQFhBBCCCFER5Cens748ePJz88HwFWtNu+Cv/c7Pbu+rm7u7k3a9XU1e7+r+3B4wYIF7Q9WdFlBQUEAVFdVYbRzQYTRYKC6ZmFO9+7d7Tq3EEIIIYToeIKCgli6dCkXL15kz549TJ06lbCwsBbdNywsjKlTp/LZZ59x8eJFli5dan4tLER7mUwmrl+/Xneihd3Nbe7IEfPNmTNnOi4O4VR8fHzqDsrKHBdIYyzi8fb2dmAgbeNkfTY6toyMDBISEsyJVYCYXmoe7OdFH9+mH2p3VxV9/d3p6+/OuDBP8kr0fPljBRnXlJ1pDhw4wPHjx20e/52YTCa++eabJr/ep08fduzYwfjx4+0YVcu4u7vz+uuv8/DDDzN9+vRmi0ucqROHEEIIIYSwjoiICFauXMm8efMAWJJ6huxbZbwVH4WP+s5vi0p1el5MyTQXQgCsWrWKiIgIW4UsuiA/Pz8iIyPJysri5PViiiqr8fd0v/Md76CosppT14sBiIyMxNfXt91jdlW1OyBNnjyZFStW8Oabb2Ks2UkzKljNtGgf3G5v/2glGncXZg33ZcepEs7kKwu3nnnmGc6cOUOfPn1sMuftJC8ghBBCCCE6gtzcXCZOnEhRkVIUrunWjf6jRlF05Qq5J08CsGm/jis3jcyZpMbL486v4SuqlI4SloUQAM899xzp6emEhoZa/xsRnV5MTAynTp0Ck4nK4mI0gYF2m7uiqAhq3vuMGDHCbvMKRXFxMdnZ2VRVVeHh4cGAAQPw8/NzdFhCCCGEEHfk6urKlClTmDJlCgA3btwgPT2dzMxMysrKzK9vvL29iYqKIjY2lh49ejg4atGZbd++vf7a2vPn4eZNcGTRd0GBuUNFeHg4EydOdFwswqnU6y565QrExjoumNvl5ZlvRkVFOTCQtpFiCCtJT0/noYceMidW/TxUTB3sw+Aerd8NMsTXjaejfYnppSP5bCnFVSYKCgqsHXKr6fX6JndQfOyxx9i8ebPTV22OHz+ekydPMnv2bPbs2dPoNXpnaz8jhBBCCCGsxt3dnepqZRHx+rQf2Z99ncVjBjBjWN9GF50XVVaz/eRPrDiSTU5Rhfn8a6+9RmJiot3iFl1HXFwcWVlZ6AxGPjh1mQX3tb/gZvvJn9AZjObxRft1796d06dPmwshIru727QQopabi4rpQ33ZeqKErJvVaLVa5s6dy549e+zS8UDyAkIIIYQQwtmZTCbmzJlj3rhM060bEWPG4OrmRvd+/dBXVXHt3DlA6RDxrywDT/ybOxNGuOHt2fC1blmliX+k69n1TTU3tHVFs+5eXlRXVJCfn09iYiL79u2TLmSi1UaOHMm2bdsAKC8stG8xhFZbLw5he5mZmaxfv57U1FSysrIafD0yMpK4uDjmz5/fIReeCCGEEKJrCg4OZuLEibLYWzhEQUEBCxcurH/SZIKDB+Hppx0TFEBKirn4fP78+bi6ujouFuFUYi2LH3JzHRdIYyyKIWKdqUijhVwcHUBncPsOM/0C3Fg8JqBNhRCWBvdQs3hMAP0CnKNmxd3dneeee67eOQ8PD9555x3+/ve/O/2Ch1pBQUHs3r2bNWvW4OHh0eDr7u7t33lVCCGEEEI4l9dee4158+aZCyFqlyfkFFXw6wOnCV6+n3s3fcGc/8vgNwdOMef/Mrh30xcEL9/Prw+cNhdCuLu7s3HjRl5++WUHfSeis5s/f7759vLDFyjVtW9RdqlOz4oj2Y2OL9pu+/bt7N27FwBftcouhRC13FyU+XzUynx79+7lgw8+sMvckhcQQgghhBDObsuWLRw8eBAAN09P+o8ahatb3edsPQcOJHTYMFxqFiLc0JpY95mOJ/+7nBfWVrDy0yrWf1bFyk+reGFtBU/+dznrPtOZCyFcXF0JHTaMyAcfxM3TE1A6vG/dutXO36noDEaPHm2+XWix6MAeLOezjENY38WLF0lISCA6Opq1a9c2WggBkJWVxdq1a4mOjiYhIYFLly7ZOVIhhBBCCCE6lk2bNpnX7BIdDV5eyu2MDDhzxjFBZWYq8wMBAQHMmTPHMXEIpxQcHFzXXTQvD2o23nM4o9FcDBEWFtYhO/pIMUQ73b7DTL8ANxJH+KFxt85Dq3F3IXGEn9MURLz99tv8+c9/JiEhgTlz5pCens5//Md/dLjdblQqFQsWLOAf//iHo0MRQgghhBA2tnHjRl599VXz8fzYfpycP574u4LN53QGI8evaNmckcPqY5fYnJHD8Sta8276taqrqzGZTAhhK1FRUcTHxwNKsc6LKZntGu/FlExzMU98fHz91puiTW7fZeaJwT5WywG0lMbdhScG+5iPFy5caLeOkpIXEEIIIYQQzqqkpIQlS5aYj8OGD8dN3XDjsu79+hE5fjw+Fh/sVhvgQp6Rg8f1/P2wnoPH9VzIM1JtqLufT48eRI4fT/d+/XBTqwkbNsz8tcWLF1NSUmKbb0x0WrGxseYOAOW3blFRu4jHxiqKiii/dQuA6OhoRowYYZd5u6KNGzcydOhQUlJSzOdc3dWEDhnJyJ/PYtzTv2bkz2cROmQkru51v69SUlKIjo5m06ZNjghbCCGEEEIIp2cwGFi/fr1yoFLB5Mnw2GN1F+zaBeXl9g2qvFyZt8bq1as7zEZiwn7MGxJUVcH5844Npta5c0o8wKhRoxwcTNs4xwr7Dsxyhxk/DxWzhvuidrXuAgC1qzLuiiNaiqscu/DKzc2Nl156iZdeesmhcVjLwIEDHR2CEEIIIYSwoYsXL7Jo0SLz8Yr4KH47ZgAAB6ePJfNGMRuO/0DqpXyybpZi+WpbBUR29yEuogeebi4sP3IRgEWLFjFhwgQiIiLs+J2IrmTdunVER0dTXl7O+rQfGdDNm8Vj7271OCsOX2B92o8AaDQa1q1bZ+VIuybLXWZieqkZEty+rpBtFRWsJqaXmoxrOrRaLe+99x5Lly61+bySFxBCCCGEEM5qx44daLVaAAJCQ/Hr2bPJaz28vblr7Fgqiou5+eOPlObnU1Va2vA6Hx98evQgqF8/PP386n3Nr1cvAkJD0ebmotVq2blzp3TjE62iUqlISkoiKSkJgBvZ2YTHxtp83hvZdR0kk5KSOlxxe0fx2muv1dugJaB3OPc/s4gRk6fh6evf4PrKkiLS9+7k6w9Wor2aQ3l5OXPnzuX69evSpVYIIYQQQojb7N+/n59++kk5GDgQuneHbt3g1Ck4exZKSmDnTpg1C9zssExar4cdO6Amt3DvvffyzDPP2H5e0eE8++yzJCcnKweHD8PgwY4NCODIEfPNmTNnOi6OdpBiiHa4fYeZqTbcDVLj7sLUwT5sOVG3q0xpaWmHbEcihBBCCCGEvSQlJVFes+PD/Nh+5kKIWlHBfqx5RNnJsbiqmou3yqjUG/F0c2FAN298PdzN15bqDKxP+5Hy8nKef/55c1G0ENYWERHBypUrmTdvHgBLUs+QfauMt+Kj8FHf+W18qU7PiymZ5kIIgFWrVkkBjxVY7jKjAhLu0jg0nvi7NJy4psMErF+/nhdffBFXV1eHxiSEEEIIIYQjmEwm3n33XfNx8IABzVxdx8vPj9ChQwEwVFdTVVaGyWhE5eKCh7c3ru7uzd4/eMAAtLm5ALz77rvMmzdPFpaLVpk+fTrLli1Dq9Wizc0lMCQEv169bDZf8bVr5p/ZgIAApk2bZrO5urLbO9WOmjqXSb/5Mx4anybv4+nrz9gnk4h9bAb7Vy3lWPJGAF555RWCg4P5xS9+YfO4hRBCCCGE6Ci2bdtWdzB2rPK3SgVPPAErVkBFBWRlKQUK06fbtiCithDiwgXzqeDgYMkPiEZNmjSJ8PBwcnJylM4QN28qxTyOUlBg7lARHh7OxIkTHRdLO9hm5X4XYbnDTEwvNYN72HY3yME9lF0fa5mrg4QQQgghhBANnD592tyCPtzfi7fio5q93s/DnZjeAYwJ60ZM74B6hRAAb8VHEe7vBSit6jMzM20TuBDA3Llz+eMf/2g+Xp/2I1Hvfs6aYxcpqqxu9D5FldWsOXaRqHc/r1cI8dprr5GYmGjrkLsEy11mBga5013j2MKDII0rA7srv6tycnI4cOCAQ+MRQgghhBDCUdLS0szv0zXduuHl33DX9TtxdXdHExCAd7duaAIC7lgIAeDl74+mWzdAyUOkp6e3el7Rtfn6+rJ8+XLz8eWTJ9HrdDaZS6/TcfnkSfPxihUr8PX1tclcXdntnWof+e2b/HzZO80WQljy0Pjw82Xv8Mii/zGfW7RoET/++KO1QxVCCCGEEKLDOnr0qHLDw0PpDFHL31/pBlH7nv7MGdi6FWo2ULS68nLYskWZx8KpU6dsM5/o8FxdXc2bImIygaM34UxJUeIA5s+f32E33pNiiDa6fYeZB/t52WXen1nMs3XrVkw1P4RCCCGEEEKI+jZs2GC+vWTs3S3aUb85Pmo3Flt0lrAcXwhbeOWVV9iwYQMajdJ9IKeogl8fOE3w8v3cu+kL5vxfBr85cIo5/5fBvZu+IHj5fn594DQ5RRUAaDQaNm7cyMsvv+zIb6NTsdxlZmyopwMjqTMmrC6O999/33GBCCGEEEII4UDmRRBAYEiIXee2nM8yDiFaavbs2eadF/WVlfxw7BgGvd6qcxj0en44dgx9ZSWg7EQ5a9Ysq84hFJadakdNncv903/TpnHuf2YRo6bOBaC8vJz//M//tFaIQgghhBBCdGg3btwgt6bjHSEh4HLbMuj+/WHmzLqCiKwsWL68QcFCu2Vmwltv1XWEcHeHmk5/ly9fJj8/37rziU4jMTGRgIAA5SAjw/o/my2VmanMj9I9cs6cOY6Jwwps2Pulc7PcYaZfgBt9fO3zUIb4uhHu70ZOkZ6zZ8+Snp5ObGysXeYWQgghhBCiI0lNTQVA7erCM0PDrDLmjGF9WZJ6Bp3BaB5fCFuaO3cuEyZM4Pnnnzd3OtEZjBy/ouX4FW2T94uPj2fdunVERETYKdKuoXZhk4erioFBd94l1h4GBbnj4aqiymDi2LFjjg5HCCGEEEIIhzh+/Lj5tiYw0K5ze9V+eH1bHEK0lEqlYtOmTYwYMYL8/HzKb93i0pEj9B81Cje1ut3j63U6fjh2jPJbtwDo0aMHGzduRKVStXtsUZ9lp9qA3uFM+s2f2zXepN/8mfPfHkR7NYcvvvjCChEKIYQQQtjWjRs3SEtL48yZM5SWlqLT6VCr1fj4+DBkyBBiY2MJDg52dJiig0tLS6s7CA1t/KLISEhMVLpCVFRASQm8/z7ExEBCAnTv3vYACgqU3fRrFpED4OWldKQ4fRquXTPHWVv4LoSloKAgVq1axcyZM5UTu3YpRTw1myTaRXm5Mm+N1atXExQUZL/5rUyKIdrIcmeX4b087Dp3TG8Pcor05jikGEIIIYQQQoj6iouLycrKAmBYTz/8Pa2zaNnf052hPf04fkVLVlYWJSUl+Pr6WmVsIZoSERHBwYMHyczMZMOGDaSmppKVlVWvU6BKpSIyMpK4uDjmz5/PkCFDHBhx52S5y0yInysuTrJoxEWlIsTXlUtavXmXmR49ejg6LCGEEEIIIewqo3YBgkqFp5+fXef28vcHlQpMJtLT0+06t+g8QkNDOXjwIOPHj6eoqIjyW7c4f+gQYcOH49ezZ5vHLb52jcsnT5o7Qvj7+3Pw4EFCm1owJNrFspPs/c8swkPj067xPDQ+3P/Mb9jz5qL2hiaEEEIIYRMGg4F9+/axfft2jh49WrdbfzNCQ0MZPXo0zz77LJMmTcLV1dUOkYrO5IzlLvp9+jR9Yf/+sHixsuD77FnlXEYGnDgBAwfCmDEwaFDDzhKNMRrh3Dk4cgTOnweLz2kZPBieeAL8/aGmCB0gMzNTiiFEk2bMmMEnn3zC3r17lWKdnTuVgho3Oyzr1+thxw4oLQVgypQpPPPMM7af14akGKKNLHd2CfOz7xOy5Xyyw4wQQgghhBANZWdnm28P7elv1bGH9fTn+BUtJpOJ7OxsYmJirDq+EE2JiopizZo1gFLwc/HiRSorK/H09GTAgAFSmGNjlrvMhNqpO2RLhfi5cUmrbJogu8wIIYQQQoiuqKCgAAB3Dw9c7LyQxsXVFXcPD6orK7l586Zd5xadS0xMDIcOHSIhIYH8/Hz0lZX8cPQoAaGhBA8YoBTetFBFURE3srPRWixG69GjBykpKQwfPtwG0Quo61Tr6q5mxORpVhlzxOTp7Fv5EoZqnVXGE0IIIYSwhoKCAjZt2sSGDRvIyclp1X1zc3NJTk4mOTmZ8PBw5s2bR2JiYofekVzYV2nNAm4AvL2bv9jfX1lgnpYGu3dDZaVSyHDunPLHwwNCQur+eHsri9H1eigrg7y8uj9VVfXH9vKCxx6D2Fhlk4Tb4ikrK7PSdyw6I5VKxYYNG4iOjqawsBCyspQChenTbVsQUVsIceECAIGBgWzYsKHDd490rk/vO5DaHWZcVNDbx74PY28fN1xUYDQhO8wIIYQQQgjRiCqLRISv2rqv133UdYsqKmt21RPC3vz8/KQQx84sd5np4+dc6ZQQi3hklxkhhBBCCNEV6XTKImGVg3YUVdXsIll1+8IIIVopJiaG9PR0EhMTOXDgAADa3Fy0ublounUjMCQEr4AAvPz96xX+GA0GKoqKqNBqKczNpbywsN64EydOZNOmTdIRwoYsO9X2jhyKp691Nmjx9PWn193R5H2fdueLhRBCCCFszGQysX37dhYuXEhRUVH9L9YuKg8NVXbrv31R+ZUrkJtbb1F5Tk4Oy5Yt480332TVqlXMmDGjwy/IFbZXmwMAWrZoXKWCkSOVDg7HjsHRo1D7nqmqCi5dUv60VGAgjB4No0Y1LMawiEdyBOJOQkJC2LNnD3FxcVRUVMCZM7B1K0ybBhqN9ScsL69XCKHRaNizZw99muuw0kE416f3HUjtDjO+ahfcXe37BOzuqsJX7UJRlVF2mBFCCCGEEKIRHh4e5tslOr1Vxy7VGcy3PT09rTq2EMJ5We4y4+3uXIl4y3hklxkhhBBCOILJZCItLY2jR49y/PhxMjIyKCgoQKfToVarCQoKIiYmhpEjRzJ69Gj+f/buPCrqO030/7soKLCkWBTQCEpCjMYWjICJ2y89sW9EjJr0TJJ7+8TdiBI6advRTDuepPueTs9kOtEbvYmiGDW49Ol7Ys4d21ZZZkan03GZKxAFE8UlooALCFUUFlDU8vvjC18K3FBqA5/XORzr+7Xq83mqLIuqT32e50lNTZXNDcKtdDodAE67/T7X9AynwwF0Xo8Q4mHFxcVx4MABtm/fzooVKzAajQBY6uqw1NUpV9JoCAoORhMQgNPhoLWlRalu2kVERARr165l4cKF8rrrYa6dagc/leTWsR8bMUaSIYQQQgjhc1VVVSxdupT9+/d3nNRoYORImDRJ+bMtUfyOUlOVPx0OOHsWjhxR/nQ6MRqNLFiwgC+//JKcnJw+sTFXeE77GgCgJNt0V//+8JOfwAsvKF0hiorg8mVo+8x1TxERMGyYklRxr+e6SzyyRiC6Y/Lkyezdu5dXXnlFSYgoL4c1a+DVV2H0aPdNVFYGX30Fbd956/V69u7dy+TJk903hw9JMsRDas8uC7zH729P0rbNK9ljQgghhBBC3G748OHq5VPXTfe45oM72TaeRqPpNI8Qom9zrTITGOBfG0hc45F1AiGEEEJ4k9lsZteuXWzcuJGysrK7Xq+6uppTp06Rm5sLQGJiIllZWcyZMweDweCtcEUfFhUVRXV1Na0tLTjs9k4V8z3NYbcrG9GBgQMHem1e0bdpNBoWLVrE66+/zu7du9mwYUPn11mnk9Z7dCxNSkoiKyuL2bNny+usl7h+Hg/Wu/cx1/ULdet4QgghhBAP6ptvvmHWrFnUu3YgS06GadPgQT8HBQQoFfpHjYKbNyE/H0pKANi/fz+JiYns27evz2zQFe4XGury/vhhioQFBMCPfqT8gLI5vLISrl0DqxXsdtBqQaeDwYOVbieh3XxP7hJP/65dI4S4i6lTp1JYWNjxOms2wxdfPPzrrKvaWigoUF9nASIjI/vc66wkQzyk9uwym8M389vb5pXsMSGEEEIIIW4XFhbGiBEjKC8v5+T1BkzNrYSHBPV4XFNzK6euNwAwYsQI+TJZiEeIa5UZm+P2apu+5BqPrBMIIYQQwhucTifbtm1j5cqVasXyTtorlmu1ONs3irtULC8rKyMrK4vVq1ezZs0aFi1aJBXLRY8kJydz6tQpcDppbmhAHxnptbmbTCb1+Z2SkuK1ecWjwWAwkJmZydKlSykuLlY78BQXF3Pz5k1aWloIDg5m4MCBpKSkqB14UlJS5HXVy1w/j7dYzG4d29rUeP8rCSGEEEJ4SGFhYUfFcgCDwX0VywcOhDfegGeeUSqWm83U19czdepU9u7dy9SpU3s+h+hzRrs+96qrO7qOPKzQUHj6aeWnp6qq1IuJiYk9H088MiZPnkxpaWnnDjwlJfDtt0o3kokTlefovTrwtHM4lO4nR4+qHXjazZgxo0924JFkiIfUXmHGbHXQancSpPXeYlKr3YnZqmRDSIUZIYQQQggh7mzq1KmUl5djtTvYeeoKbz+X0OMxd5y8jLUtM1kW34R4tLhWmbnV6l/JEK7xSJUZIYQQQnhaZWUlGRkZ5OXldTqvHzCAyNhY9JGRhISFdarM77DbaW5owFJfT31VFZa6OgCMRiOLFy9mz549bNmyhbi4OK/eF9F3jBs3Tu08Yqmv924yhEtC0Lhx47w2r3i0aDQaUlNTSe3pJh/hMa4dZK+dK3Xr2FfLT7l1PCGEEEKI7vrrX//aORFixAiYPRv0evdONHo0PPEE7N4N5eU0NTXxyiuvUFhY2Kcqlwv36PS5qLLSd4HciUsyhHx+Ew8qNjaWffv2sWPHDpYtW4apvQDHmTPKT3AwxMZ2/PTvD4GBYLMpXUmqqjp+XLoXAkRERLB+/Xrmzp3bJ4snSDLEQ2qvMONwwtVGG8PCe15ltruuNtpoL/ooFWaEEEII4Y8aGho4f/68Wpls+PDhhIWF+Tos8YjJzMxkw4YNAKw5co4FY4cRqnv4j0CNVhtrj57vNL4Q4tHhWmWmusFG6mP+04GhqsGmXpYqM0IIIYTwpJKSEqZNm0ZNTY16LiIujpjhw+kXHn7X2wVotegjI9FHRhKVkECTycSN8+cxtn1hnZeXR0pKCvn5+SQnJ3v8foi+Z8KECerl+qoqohJ6XhChu+pdNjq4xiGEeLS4dqq9Wn6KZrOJEMPdfzd2V7PZ5PbkCiGEEEKI7qiqquLll1/uSIRITFQSIQI9tOVUr4eFC2HXLjh9mqamJmbNmkVZWVmfq2AueiYmJoa4uDgqKyuVTd8OR/eq5Xuaw6EmQwwdOpTo6GgfByR6I41Gw/z585kxYwaff/45mzZtoqKiQvnLlha4eFH56ab4+HgyMzNZvHgxUVFRHora9yQZ4iG5Vpi50mD3ajLElQZ7pziEEEIIIfxBWVkZmzZtorCwkPLy8tv+fsSIEUydOpXMzEzZqNnH3Lhxg6KiIk6fPk1jYyNWqxWdTkdoaCijR48mPj7eJ3ElJiaSlpZGQUEBFaYm3i0oI3vm2Ice792CMipMymJfWlpa5/abQog+z7V6S6XZdo9rep9rMoRUmRFCCCGEpxQXF/OTn/xEqUgGBIaEMHTsWMIGDXrgsfqFhxOfmkpkbCxXTp7E1txMTU0NU6ZM4dChQ5IQIR5YamoqiYmJlJWVYamro8lkumeCjrs0mUxqp5OkpCQpYibEI669U6291Urx/t1M+llWj8cs3r8Le6vVDdEJIYQQQnSf0+lk6dKl1NfXKyfaO0J4KhGiXWAgzJkD27dDeTn19fUsWbKEffv29clK5n3FvfYLeKoL6IQJE9izZ4+yOfzsWRg1yiPzPJAzZ9Rq/OPHj/dxMKK3i4qKYtWqVbz77rscPHiQ3Nxcjh8/zpUrV+5726FDhzJ+/HgWLFhAeno6WpcOvn2VJEM8JNfKLt9ea2Hy0BCvzV1ytaN9iVSYEUIIIYSvXbhwgaysLAoKCu55vfLycsrLy9mwYQNpaWlkZ2eT4MUqfcJ97HY7Bw4cYMeOHRw7dkypuOCnsrOzSUpKwmKxsKnoEsMH9GfFpKceeJy1R86xqegSAHq9nuzsbDdHKoTwd65VZqoa7DicTgL8YOHd4XRSZVaKJkiVGSGEEEJ4SmVlJenp6WoihH7AAJ4YP55Ana5H44YNHszIAQP44fhxLHV1mEwmpk2bRnFxsce+LBd9k0ajISsri6wsZePxjfPnifdCovCN8x0dJLOysmRzjhCPONdOtV/v/ITUl+cRrA996PFaLI18vXOdm6ITQgghhOi+HTt2sH//fuXAYPBOIkS7wEBlvo8/hsZG9u/fz86dO5k3b5535hf31dP9Ana7/f5Xuo/58+cryRAAR474RzLE0aPqxQULFvguDtGnaLVaZs6cycyZMwEl+ai4uJiysjJu3bpFS0sLwcHB9O/fn8TERFJTUx/J74v9oDdM79ReYQbgktFGtZeqQlaZbVSYlLlGjRolFWaEEEII4VM5OTmMGTOmUyKEThvAs0MieDM5nl+Of5I3k+N5dkgEOm3HW8+CggKSkpLYsmWLL8IWD6m2tpYPP/yQJ598kpdffpk9e/Y8dCLE+vXrqa2tdXOEt0tISOCTTz5Rj1cWnuatP39Lo7V7798brTbe+vO3rCw8rZ5bt26dJPII8YhqL0jQYndytrbVx9EoztS20mJ3AlJlRgghhBCe4XQ6Wbx4MTU1NYCSCJEwcWKPEyHaBep0JEyciH7AAABqamrIyMjA6XS6ZXzx6JgzZw4REREAGCsrabh2zaPzNVy7hrFtXSQiIoLZs2d7dD4hhP9r71QLYLxawcF1q3o03sF1qzBerQDghRde6Gl4QgghhBDdUltby7JlyzpOvPoq6PXeDUKvV+Zts2zZMq98tyzuzV37BZ577jk+/PDDHv2bTp8+nfj4eOXg7Fm4efOhx3KL2lolDiA+Pp709HTfxiP6rJiYGNLT01m5ciW/+c1v+Od//md+85vfsHLlStLT0x/JRAiQzhAPrWuFmcOXmngjyeDxef/zUpN6eeHChVJhRgghhBA+88EHH/DrX/9aPY4P78fKSU8xd8xQwkOCbru+qbmVnaeusObIOSpMTVgsFpYsWcL169d57733vBm6eEBOp5MdO3awbNkytQpoO20/Hf2fjCF0eAyhCTEEhfVDE6TF2WqntaGJxos3aDx/g1sXbmBv6mjn/k//9E9s2LCBdevWMW/ePI++r21/nrU/XzcVXeLg+eusmDicec8Mu+vzdcfJy6w9ep4KU8d78A8++ICMjAyPxSqE8K57te0dPXo0qampxMTEqNd3rTJzpLKZUdHu2QDYE0evNKuXpcqMEEIIITxh27Zt5OfnAxAYEsIT48ejdXM1SG1gIE+MH8/ZQ4ewNTeTl5fH9u3bWbRokVvnEX2bwWBgzZo1LF68GIArJ08ycsAAtyXuuLJZrVw5eVI9Xrt2LQaD578nFEL4P9dOtcf35DBw6JM8P3f5A4/z9c5POL4nB1A61X700Uc899xz7g5XCCGEEOI2W7Zs6fhOODkZRo/2TSCJicr8JSUYjUY+//xzVq3qWbKpeDj32i9AcDDExkJcHAwZAv37K909bDa4dQuqq6GyEqqqoKUFgCtXrrB69Wo++uijh94voNVqWbp0KatXrwanE/Lz4Y033HWXH1xBgRIHSsc4rVbru1iEeARJMkQPzJkzh9WrV2M0Gim5ZiV5sNWjGyG+r7FScq1jA9lrr73msbmEEEIIIe4lJyenUyJEZurjfJyWSKju7m8vw0OCePu5BBaMHca7BWVsKroEwPvvv09MTAxLlizxdNjiIVRVVbF06dKONqgAGohMfYLHXhpDZMrjaLR3bzgXM0VpR+m0O6gvvsTVA6eoL/oBnGA0GlmwYAFffvklOTk5DBkyxGP34/3332fQoEEsX74ci8VChamJX+SVsrLwNGMGhfHMoHBCdVoarXZOXjdx6noDVrtDvb1er2fdunWSCCFEL/cwbXvj4uKYMGEC8+fPJy0tjfj4eCoqKjhb28pNi52Bet8tZtZa7Jy9qXSokCozQgghhPAEs9nMypUr1eOhY8d6ZGM5KB0ihj7zDD8cPw7AihUreP3112WDuR9zOp0UFRVx7NgxTpw4QUlJCbW1tWqScVRUFMnJyTz99NNei2nRokXs2bOHvLw8bM3N/HD8OAkTJ7o1gcdus/HD8ePYmpXE5OnTp7Nw4UK3jS+E6N3aO9UuXboUgAOf/IqbVy4w/Zf/QrA+9L63b7E0cnDdKjURApROtY8//rinQhZCCCGEUNntdjZt2qQcaDQwbZpvA0pLg2+/BaeTTZs28e6778omcy+7834BDYwcCZMmKX8G3H2/AKmpyp8Oh9I54cgR5U+ns8f7BTIyMvjoo48wGo1QUgLPPOOb5J2yMmV+lM6R7UUahBDeI8kQPdC1wsye7xtZERGBPugeL+4PydLqYM/3jZ3OhYbef7FECCGEEMLdLly4wPLlHZWs1qYl8vcTh3f79qG6QLJnjmX4gP6sLDwNwPLly3nxxRdJSEhwe7zi4X3zzTfMmjWL+vp69Vz0C08TP3siIYMjHmgsjTaAAc8mMODZBJqvGanYfZSaw2cA2L9/P4mJiezbt4/Jkye78y50smTJEl588UXeeustCgoKALDaHZyoNnKi2njX26WlpZGdnS3PTyF6sdraWrZs2cLmzZupqKh4oNtWVlayZ88e9uzZQ3x8PCNHjqSiogInkH/B4pUukXdTcMGCs+2yVJkRQgghhCfs2rVL+UIZiIiLI2zQII/OFzZ4MBFxcRgrKzEajezevZvMzEyPzikenNlsZteuXWzcuJGysrK7Xq+6uppTp055MTKls/uWLVtISUmhpqYGS10dF48e5Ynx492SyGOzWvnh+HEsdXUAREdHk5OTI53chRCddO1Ue3xPDme/yef5ub8kZcYcQgzht92m2WyieP8uvt65DuPVjrWL9k61NTU1XotfCCGEEI+ugwcPcvnyZeVg5EgYONC3AUVFKXGcOUNFRQV5eXnMmDHDtzE9Qu60X4DkZCVJ5kGfGwEBMGqU8nPzptLJoS2B4GH3C0RFRbFu3bqOzulffQVPPAF6/YPF1hMWizJvm/Xr1xMVFeW9+YUQALh/1/4jZtGiRWrlxYYWJ9u/NWO1O+9zqwdjtTvZVmKmocW94wohhBBCPIysrCwsFgugdIR4kEQIVysmPUVm6uMAWCwW3nrrLXeFKNygsLCQqVOnqgsbQZF6Rr33MiNXTH/gRIiuQgZHMHLFdEa99zJBkcpCRH19PVOnTqWwsLCnod9TQkIC+fn5lJaW8vbbbzNy5MjbNixoNBpGjhzJ22+/TVlZGfn5+ZIIIUQv5XQ6yc3NZfjw4axevbpTIkSwVkNCZCA/HhbCzxJDeTPZwNLUMN5MNvCzxFB+PCyEhMhAgrUdrxEVFRUUFBSorxsl16ycvmG9bV5vKLvR0T1SqswIIYQQwhOcTicbN25Uj2OGP9zn/wflOs/GjRtxOuW7EX/hdDrZunUrw4YNIysr6/ZECI2GoJAQdP37ExQSolSKvIvdu3d77N82Li6O/Px8wsOVzcaWujrOHjpEw/XrPRq34do1zh46pCZChIeHk5+fT1xcXI9jFkL0Pe+//z6bN29G37YRy3i1gn0fLed3L8by2ZyJfPXbpez7eAVf/XYpn82ZyO9ejGXfR8vVRAi9Xk9OTg7vvfeeL++GEEIIIR4xubm5HQeTJvkuEFcTJ6oXv/jiC9/F8Yjpul8AgwEWLIA33uh5kszAgco4CxYo4/Lw+wXmzZvXkSBjNsPu3WCz9Sy+7rLZYNcuaFSKnM+cOZO5c+d6Z24hRCePZGeI7rbtHTduHBMmTCA1NfWuFV26Vpi5ZLSxpbiBhWMNbukQYWl1sK3ETIXJSy/QQgghhBD3UFpaqlbUjw/vx8dpiT0a7+O0RA6ev06FqYmCggLKyspITOzZmKLn/vrXv/LKK6/Q1NQEQERyPCPffYkgQ4hb5xk4/knCfhTL2Y8PYCypoKmpiVdeeYXCwkKPdogASExM5NNPPwWgoaGBCxcu0NzcTEhICMOHD8dg8F2ldyGEe9ypba8GGBkVxKS4EEZGBRFwj81ZqY8FA+BwOjlb28qRymbO1rbihE6btr76vpEnIj3TJfJuLK0OvnLpHilVZoQQQgjhCUVFRepmd/2AAfQLv72KtSf0Cw9HP2AAlro6SktLKS4uJjU11Stzi7urrKwkIyODvLy8Tuf1AwYQGRuLPjKSkLAwAly6lTnsdpobGrDU11NfVaUmEYDSJTQ/P58tW7Z4JJkgOTmZQ4cOMW3aNGpqarA1N/PDsWNExMURM3z4Az2fm0wmbpw/j7GyUj0XHR1NQUEBY8eOdXvsQoi+406dau2tVqq+K6Lqu6K73k461QohhBDCV44dO6ZcCA5WOjL4g6efVuJpaeH48eO+juaR0HW/ACNGwOzZ7u+4MHq00slh924oL3+o/QIajYbNmzeTlJSkJG6UlysJCnPmQKAHt0e3J0KcOwdAZGQkmzdvls6RQvjII9UZwmw2k52dzZgxY3j22Wd55513yM3N5dSpU1RXV1NbW6u27M3NzeWdd97h2WefZcyYMWRnZ2M2m+84btcKM5eMNtYeNfJ9Tc+qQ35fY2XtUaMkQgghhBDCb2zevFm9vHLSU4TqevbhMVQXyAqXzhKu4wvfqKqq4uWXX1YXNgZOHM6P3n/Z7YkQ7YIMIfzo/ZcZMOFJAJqampg1axbV1dUeme9OwsLCSE5OZuLEiSQnJ0sihBB9wDfffENSUlKnRIjkwTp+NTmCN5PDGBWtu2cihKsAjYZR0TreTA7jV5MjSB6s6/T3ZquT3aWN2BzeqVhsczjZdaqRRqsyn1SZEUIIIYSnqBsggMjYWK/O7TqfaxzCN0pKSkhJSemUCBERF8eIF17gqeefJyohAX1kZKdECIAArRZ9ZCRRCQk89fzzjHjhBSJcEh/y8vJISUmhpKTEI3EnJydTXFysdngHMFZWUn74MOe+/praixe5VVeHw27vdDuH3c6tujpqL17k3F/+Qvnhw50SIdLT0ykuLpZECCFEt0inWiGEEEL0Fjdu3KCy/bNPbCwE+MnW0oAAJR7gypUr1NTU+Digvq3rfgESE2HhQvcnQrTT65XxR48GHm6/QGxsLPv27aNfv37KidOnYft2sFg8EbEy7rZtyjwoXd327dvHkCFDPDOfEOK+/OQ3lmfdr21vgAbCgwMY2C+A8OAAArrshygrKyMrK4thw4axdevWO7btba8wEx0dDUBDi5Nt35r5Q6mZKvODJTNUmW38odTMtm/NNLQoc0mFRyGEEEL4g/aWhDptAHPHDHXLmPOeGYZOG9BpfOEbTqeTpUuXqq0ulY4Q0wkI8mxDuYCgQJ7+h5eISI4HlBaYS5YsueP7biGEuJ+ubXsNOg0LnjHwRpKBgXrtfW59bwP1Wt5IMrDgGQP9gzrOl99sZdcps8cTIpRECDPn6loBiIiIkCozQgghhPCYEydOqJf1kZFenbtfRMQd4xDeV1xczJQpU9TNJoEhITwxYQLxqakP3C2kX3g48ampPDF+PIEhStGFmpoapkyZ4rGEiLi4OA4cOMDWrVuJcHleWerqqCot5fzXX1O6fz/f5efzfWEh3+XnU7p/P+e//pqq0lIsbZ8rQHn/vXXrVg4cOOCRbhZCiL6tvVPtmTNnMBqNFBcXc+TIEYqLizGZTJw5c4ZPP/2U0W2bwIQQQgghvK2oyKVzlb995nEpmtApTuFWXfcLqB0hPNlhAZTx58xR5uPh9gtMnjyZvXv3diRElJfDmjVqwoLblJXBxx+rHSH0ej179+7tdicLIYRn9PlkiMrKSl566SUWL16M0WhUzz8eEchPn+7PO8+F8bspA3jvx5Gs+v8iee/HkfxuygDeeS6Mnz7dn/jwjhdyo9HI4sWLeemllzqyIF3cqcJMyTUr646Z+Oy/THxzpZnLplZa7Z1fpFvtTi6bWvnmSjOf/ZeJdcdMlFzr6CqRnp7Ov/3bv7nxURFCCCGEeHANDQ2Ul5cD8MygMMJDgu5zi+4JDwlizKAwAMrLy+/ajUt43o4dO9Qq6kGReka++5LHEyHaBQQFMvLdlwiKUCpK7N+/n507d3plbiFE39G1be+IgUGsnBTB6BjdfW75YEbH6PiHyZEMDetIrjhd08r2b81YWh1unaudpdXBthIzp2ta1XM7d+6UKjNCCCGE8Bh1c7pGQ0hYmFfn7hceDm0Jn8XFxV6dW3SorKwkPT0dk8kEgH7AAEZOmULYoEE9Gjds8GBGTpmCfsAAAEwmE9OmTbvjd2/uoNFoWLRoEZcvXyY7O5vExMTOV3A6aW1uxmqx0NrcDF02WyQlJZGdnc3ly5dZtGiRJCMLIXpMOtUKIYQQwh+ddt007m/fPbgkQ3QthC3cx3W/AAaDdxIh2gUGKvOFhgIPt19g6tSpFBYWEtle1MNshi++gD/8AW7e7Fl8tbXKOLm50NgIQGRkJAUFBbz44os9G1sI0WNeeqXyjZKSEqZNm9apNVLyYB0vPN6PIYa73/UgrYZh4UEMCw9i8tAQqsw2/vNSk5qg0N62Nz8/n+Tk5E63ba8ws337dlasWKEmYFSYbFSYlA4RARow6ALQBoDdAWargzsVj4yIiGDt2rUsXLiQ2traHj4aQgghhBA9c/78efXymEEPVvnvfp4ZFM6JaiNOp5Pz58/f9h5LeF5tbS3Lli1Tj4f//EWCDCFejSHIEMLwn7/I9//0JwCWLVvGSy+9JF3ShBDd0rVtb2KMjtlJoQR2bf/oJvqgALKeDWfTCRMVJjugdIhYc8TIq6NC3ZqAUXbDylffN9Jo7bx4MH78eLfNIYQQQgjRVfv3EkHBwQRoe9Zh60EFaLUEBQfT2tzMzZ5+WS0eitPpZPHixep3bPoBA0iYOBGtmzZBBOp0JEycyMWjR7HU1VFTU0NGRgYHDhzwWLKBwWAgMzOTpUuXUlxczLFjxzhx4gTFxcXcvHmTlpYWgoODGThwICkpKYwbN44JEyaQkpIiCRBC9HENDQ2cP39efR0YPnw4YV5OBBRCCCGE8LXGtg3eAPTv77tA7sQlnlu3bvkwkL6r634BXn0V9HrvBqHXK/Pm5gIPt19g8uTJlJaWsnTp0o7EjpIS+PZbGDkSJk6Ep5+GgG7UkXc44MwZOHoUzp7tVDxhxowZ5OTkSNEyIfxEn02GKC4u5ic/+YlarSYsWMNro0IZFf3gmxFiDYG8kWQgebCVPd830tDiVNv2Hjp06LbNeu0VZl5//XV2797Nhg0bOmUkOpxgarl7pcikpCSysrKYPXu2VIEQQgghhN9oaWlRLxt07n0bGarr2FTR3Nzs1rFF92zZskV97xz9wtMMHP+kT+IYOOFJol94mprDSrv4zz//nFWrVvkkFiFE79G1be+IgUEeTYRoFxigIXNcOBv/n4krDUpChNnq5IuTZpIH65j2pJ6B+offOFhrsVNwwdKpe6QQQgghhLdYrcp7EI2XEyHaadq+lHZdjxDes23bNvLz8wEIDAnhifHj3ZYI0U4bGMgT48dz9tAhbM3N5OXlsX37dhYtWuTWebrSaDSkpqaSmprq0XmEEP6trKyMTZs2UVhYqHZEdjVixAimTp1KZmbm7R1lhBBCCCH6oPZ1AMB73QC6yyUeWSfwDNf9AiQnw+jRvgkkMVGZv6TkofcLxMbGsm/fPnbs2MGyZcuU++V0KokNZ85AcLDSbaT9p39/5Tlms8GtW1BV1fHT5fkWERHB+vXrmTt3rhROEMKP+NlvLffo2rb38YhAFo41oA/qRjbXPYyK1rEiIoLt35q5ZLSpbXuLi4uJi4u77fpSYUYIIYQQfUlwcLB62Wy1uXXsRqtdvRwS4t1uBALsdjubNm1SDjQQP3uiT+MZ9sZEav7zDDhh06ZNvPvuu2h9tPlGCNE7uLbtNeg0XkmEaBcYoGFxShi//6YeS2vH+ZJrVr69ZmXkwCAmDg3h6aggArrxWd/hdHKmtpWjV5o5e7OVOzSSFEIIIYTwCp1OKS7ltNvvc03PcDqUolKu6xHCO8xmMytXrlSPh44dS6DOfZ3PXAXqdAx95hl+OH4cgBUrVvD6669LsTAhhMdcuHCBrKwsCgoK7nm98vJyysvL2bBhA2lpaWRnZ5OQkOClKIUQQgghvE/n+rnP5t79AD3mEo+sE7hf5/0CGpg2zbcBpaUpnRyczofeL6DRaJg/fz4zZszg888/Z9OmTVRUVCh/2dICFy8qP90UHx9PZmYmixcvfqBOFUII7+hzyRBd2/Y+HhFIRkoYOq17NkHogwLISAljS3EDl4y2brXtlQozQgghhOgLhg8frl4+dd3k1rFPto2n0Wg6zSO84+DBg1y+fBmAyNQnCBkc4dN4+j0WQWTK49QXXaKiooK8vDxmzJjh05iEEP6ra9veV0eF9rgYwoPSBwXw+o8M5J40dzrvBM7cbOXMzVaCtRpiDVpiwwKJDQukf5CGwAANNoeTW61Oqhpsyo/ZTou9cwpEREQEH3zwAe+8844X75UQQgghHnVRUVFUV1fT2tKCw24nwItJ6g67nda2ynsDBw702rxCsWvXLoxGIwARcXGEDRrk0fnCBg8mIi4OY2UlRqOR3bt3k5mZ6dE5hRCPppycHJYvX47FYlHPaYN0PDZiDIOfSiJYb6DFYubauVKulp/C3qpURy4oKCApKYl169aRkZHhq/CFEEIIITwqNDS04+DWLd8Fcicu8fTv39+HgfRNrvsFGDkSfL0WExWlxHHmTI/3C0RFRbFq1SreffddDh48SG5uLsePH+fKlSv3ve3QoUMZP348CxYsID09XQo4CuHH+lwyhGvb3rBgDQvHGtyWCNFOp1XGXXvUSEOL02tte4UQQgghfCksLIwRI0ZQXl7OyesNmJpbCQ8J6vG4puZWTl1vAJTW41L5z/tyc3PVy4+9NMaHkXR47KVnqC+6BMAXX3whyRBCiLtybdubPFjH6BjPVKy9n8QYHcmDdZRcUzZKTJs2jTNti7QALXYnF402Lhq7X03JtcqM0+mUZAghhBBCeFVycjKnTp0Cp5Pmhgb0kZFem7vJZAKnkiCakpLitXmFUnRs48aN6nGMl4pWxAwfjrGyEoCNGzeydOlS6aIuhHCrDz74gF//+tfqccRj8Tw/dzkpM2YTYgi/7frNZhPF+3fz9c5PMF6twGKxsGTJEq5fv857773nzdCFEEIIIbxi9OjRHQfV1eBPhZ+rqtSLiYmJPgykb3LdL8CkSb4LxNXEiXDmDOCe/QJarZaZM2cyc+ZMAG7cuEFxcTFlZWXcunWLlpYWgoOD6d+/P4mJiaSmphIdHd3juyGE8I4+lQzRtW3vax6sBqkPCuC1UaFs+1ap+ihte4UQQgjxKJg6dSrl5eVY7Q52nrrC28/1vC34jpOXsdod6vjC+44dOwaAtp+OyJTHfRtMm8jUx9H202FvsnL8+HFfhyOE8FOubXs1wLQn9T6NJ+1JPd9esyodIc6coby8nIKCArdUmWnvgCmEEEII4S3jxo1Tvwy31Nd7NxmirStBexzCe4qKiigrKwNAP2AA/cJv3yDsCf3Cw9EPGIClro7S0lKKi4ul47oQwm1ycnI6JUKMf20J03/5LwTrQ+96mxBDOJN+lkXqy/M4uG4Vx/fkAPD+++8TExPDkiVLPB63EEIIIYQ3dfoM1pas7jdckiHks6L7te8XIDhY6cjgD55+WomnpcUj+wViYmJIT08nPT3d7WMLIbyvTyVDuLbtTR6sY1S0Z6tBjoruqPoobXuFEEII8SjIzMxkw4YNAKw5co4FY4cRqnv4t5SNVhtrj57vNL7wrhs3blDZtpjV/8kYNFrPJBM/KI02gP4J0TScruLKlSvU1NRI5QUhxG1c2/aOjApioN637Wmj9FpGDgzizM1WKioqKCwslCozQgghhOi1JkyYoF6ur6oiKqHnBRG6q95lk4NrHMLz1A0QQGRsrFfnjoyNxVJXp8YhG1yEEO5w4cIFli9frh6/9Pcf8fycX3b79sH6UH66+jMGDn2SA5/8CoDly5fz4osvkuDF341CCCGEEJ4WExNDXFyc8t1xVRU4HBDgB98dOxxqMsTQoUPlexQ3c90vQGysf/ybgxJHbCxcvCj7BYQQ9+Unr1w917Vt7wuP9/PKvH/jMs/GjRtxtrVtFkIIIYToixITE0lLSwOgwtTEuwVlPRrv3YIyKkxNAKSlpXVuvSm8oqioSL0cOjzGh5HcLnT4IPWya5xCCNHOtW3vpLgQH0bSYeLQjji++OKLTn/XXmVm5cqV/OY3v+Gf//mf+c1vfsPKlStJT0+XRVwhhBBC+JXU1FQSExMBsNTV0WQyeWXeJpNJ3RCflJRESkqKV+YVihMnTqiXvdkNBKBfRMQd4xBCiJ7IysrCYrEASkeIB0mEcPX83OWMf03pBmGxWHjrrbfcFaIQQgghhN9QCxK0tMDZs74Npt2ZM0o8wPjx430cTN/T6Xv4uDjfBXInLkUaZL+AEOJe+kwyhGvb3scjAhli8E7Ti1hDIPHhylztbXuFEEIIIfqy7Oxs9Ho9AJuKLrH2yLmHGmftkXNsKroEgF6vJzs7210higdw+vRp9XJogp8lQzzZEU/7e30hhHDVXrU2WKthZFSQj6NRPB0VRLBWA+CRtr1CCCGEEN6i0WjIyspSj2+cP3+Pa7uP6zxZWVloNBqvzCsUJSUlygWNhpCwMK/O3S88HNr+veX7NiGEO5SWllJQUABAxGPxTP/lv/RovOm//BciHosHoKCgQNYshRBCCNHnzJ8/v+PgyBHfBeLq6FH14oIFC3wXRx/lul+AIUN8F8iduCRDyHtvIcS99JlkCNe2vWMHB3t17uTHOuZzjUMIIYQQoi9KSEjgk08+UY9XFp7mrT9/S6PV1q3bN1ptvPXnb1lZ2PGhet26ddJS3EcaGxvVy0Fh3umu1l2Bho7q6rdu3fJhJEIIf+Tatjc2TEuAn2ySC9BoiDVoAdS2vUIIIYQQvdWcOXOIaKvWb6yspOHaNY/O13DtGsa293gRERHMnj3bo/OJ29XW1gIQFBxMgFbr1bkDtFqCgpXv3G7evOnVuYUQfdPmzZvVy8/PXU6wPrRH4wXrQ3l+7i/vOL4QQgghRF8wffp04uOV5E/OngVffzarrVU7VMTHx5Oenu7bePog1/0C9O/vu0DuxCUe2S8ghLiXPpMM4doud2iYdxdnXeeTtr1CCCGEeBQsWbKE3/72t+rxpqJLJG78dz49fgFTc+sdb2NqbuXT4xdI3PjvakcIgA8++ICMjAxPhyzuwmq1qpc1Qd59H30/AS7xtLS1PhVCiHau7XDjvNQdsrtiwzrikba9QgghhOjNDAYDa9asUY+vnDyJzeVzpDvZrFaunDypHq9duxaDweCRucTdta8TaLycCNFOE6B8dSnrAEIIdygsLARAG6QjZYZ7EuxSZsxBG6TrNL4QQgghRF+h1WpZunSpcuB0Qn6+bwMqKFDiADIzM9H66LNqX+a6X4BA//q+zTUeWScQQtxLn0mGaG/bG6CBx0K9+6L8WGggAW0FKKVtrxBCCCEeFe+//z6bN29Gr9cDUGFq4hd5pcSsOcizWw6z+E8l/DLvFIv/VMKzWw4Ts+Ygv8grpcLUBIBerycnJ4f33nvPl3fjkafT6dTLzla7DyO5ncMlnuBg73Z/E0L4P9e2vUPC/Gtx1jUZQtr2CiGEEKK3W7RokVp50dbczA/Hj2O3da87ZHfZbTZ+OH4cW3MzoFSiXLhwoVvnEN3Tvk7gtPtmjcDpcACyDiCE6LmGhgbKy8sBeGzEGEIM4W4ZN8QQzuCnkgAoLy/HbDa7ZVwhhBBCCH+RkZGhdomkpARcvo/xqrIyZX6U7pGLFy/2TRx9nOt+Ady83tNjLvHIOoEQ4l76TDJEe9tegy6AIK3Gq3MHaTUYdMpDKW17hRBCCPEoWbJkCaWlpaSlpannrHYHJ6qNbC2pYP3xi2wtqeBEtRGr3aFeJy0tjdLSUukI4QdCQztaw7c2NPkwktvZzM3q5f7+1pJTCOFzrm17+wd5dx3gflzjkba9QgghhOjtNBoNW7ZsITo6GgBLXR0Xjx51W4cIm9XKxaNHsdTVARAdHU1OTg4ajX+9x3tUREVFAdDa0oLDywkRDrud1rZKjwMHDvTq3EKIvuf8+fPq5fbkBXd5bMQYAJxOZ6d5hBBCCCH6gqioKNatW9dx4quvwGLxbhAWizJvm/Xr16ufV4V7ue4XwN++03KJR/YLCCHupc8kQ7S36wn00T3Sts0r7XiEEEII8ahJSEggPz+f0tJS3n77bUaOHHnbhgWNRsPIkSN5++23KSsrIz8/n4SEBB9FLFyNHj1avdx48YYPI7ld44WOeBITE30YiRDCH7m27Q0M8K+Ncq7xyDqBEEIIIfqCuLg48vPzCQ9Xqmpb6uo4e+gQDdev92jchmvXOHvokJoIER4eTn5+PnFxcT2OWTyc5ORk5YLTSXNDg1fnbjKZwOkEICUlxatzCyH6HtfP48F6g1vH1vXr2DDW3Nx8j2sKIYQQQvRO8+bNY8aMGcqB2Qy7d3uva4DNBrt2QVtRrJkzZzJ37lzvzP0Ict0vQHW17wK5k6oq9aLsFxBC3EugrwNwl/Z2PTbHfa7oIe2FjqUdjxBCCCEeVYmJiXz66aeA0oL8woULNDc3ExISwvDhwzEY3PuFk3CP1NRU9XLjeT9LhjjfsanGNU4hhIDObXttDqcPI7mdazyyTiCEEEKIviI5OZlDhw4xbdo0ampqsDU388OxY0TExREzfDj92hIluqPJZOLG+fMYKyvVc9HR0RQUFDB27FgPRC+6a9y4ceTm5gJgqa9HHxnptbmbjMZOcQghRE+4fh5vsZjdOra1qaNbZUhIiFvHFkIIIYTwBxqNhs2bN5OUlER9fT2UlysJCnPmQKAHt5y2J0KcOwdAZGQkmzdvlu6RHtTpe3iXdRq/4JIMIfsFhBD30mc6Q7S3QTJbHbTavbsJotXuxGxVsiGkba8QQgghBISFhZGcnMzEiRNJTk6WRAg/FhMTo1bcvHXhBk67j7KLu3DaHdy6WAPA0KFDiY6O9nFEQgh/49q291arfyVDuMYjbXuFEEII0ZckJydTXFxMenq6es5YWUn54cOc+/prai9e5FZdHQ67vdPtHHY7t+rqqL14kXN/+Qvlhw93SoRIT0+nuLhYEiH8wIQJE9TL9S6bDrzBdT7XOIQQ4mEMHz5cvXztXKlbx75afgpQNgm6ziOEEEII0ZfExsayb98++vXrp5w4fRq2bweLxTMTWiywbZsyT5usrCwee+wxz8wngM77BaiqAod/7BfA4VCTIWS/gBDifvpMMkR7216HE642eqklU5urjTbaiz5K214hhBBCCNHbtG8wsDdZqS++5Ntg2tQXXcLeZAVg/PjxPo5GCOGPXNv2Vjd4dx3gfqpc4pG2vUIIIYToa+Li4jhw4ABbt24lIiJCPW+pq6OqtJTzX39N6f79fJefz/eFhXyXn0/p/v2c//prqkpLsdTXq7fR6XS88cYb/Pa3vyU2NtYH90Z0lZqaqr6HtdTV0WQyeWXeJpMJS10dAElJSfJ9mxCix8LCwhgxYgSgJC80m93zetZsNqnJFSNGjJBCQEIIIYTo0yZPnszevXs7EiLKy2HNmk4JC25RVgYff6x2hGj3T//0T8yaNYvq6mr3zic6UQsStLTA2bO+DabdmTNKPMh+ASHE/fWZZAjXdrlXGuz3uKb7uc4nbXuFEEIIIURvM3/+fPXy1QOnfBhJh6sHTqqXFyxY4LtAhBB+y7UdbqXZf5MhpG2vEEIIIfoijUbDokWLuHz5MtnZ2bcngDqdtDY3Y7VYaG1uBuedO3lZrVb+8Ic/8NxzzzFmzBiys7Mxm81euAfibjQaDVlZWerxjfPnvTKv6zxZWVloNBqvzCuE6NumTp0KgL3VSvH+3W4Zs3j/Luyt1k7jCyGEEEL0ZVOnTqWwsJDIyEjlhNkMX3wBf/gD3LzZs8Fra5VxcnOhsVE5FxICTz2lXmX//v0kJibyzTff9GwucVeu+wU4csR3gbg6elS9KPsFhBD302eSIVzb5X57rcWrc5dc7ZhP2vYKIYQQQojeZvr06cTHxwNQX/QDzdeMPo2n6apR7VARHx9Penq6T+MRQvgn17a9VQ12HHfZYOdtDqeTKrNSNEHa9gohhBCirzMYDGRmZnLq1Cn+3//7f7zxxhvodLq7Xj8gMJDAkBACg4Ohy2b3srIysrKyGDZsGFu3bsXpJ+/vHkVz5sxRu34YKytpuHbNo/M1XLuGsbISgIiICGbPnu3R+YQQj47MzEz18tc7P6HF0tij8VosjXy9c90dxxdCCCGE6MsmT55MaWkpM2bM6DhZUgK//z1s3QrffQcOR/cGcziU62/dCh99pIzTbtQoWLkSliyBBQugrQtXfX29mpQh3M91vwBnz/Y8yaWnamvVDhWyX0AI0R19JhnCtW3vJaONai9Vhawy26gwKXNJ214hhBBCCNEbabVali5dqhw4oWL30XvfwMMu/+EotO15yczMRKvV+jQeIYT/ai9I0GJ3cra21cfRKM7UttJiV17EpG2vEEIIIR4VVVVVvP/++/zhD3/AarWq5/UDBhCblMRTP/4xSTNnkjRjBqOnTWN0ejpJM2bw1I9/TGxSEvoBA9TbGI1GFi9ezEsvvURl2wZ54V0Gg4E1a9aox1dOnsTm8u/qTjarlSsnO7pDrl27FkPbZhchhOipxMRE0tLSADBereDgulU9Gu/gulUYr1YAkJaWxujRo3scoxBCCCFEbxEbG8u+fftYvXp1x0mnE86cge3b4de/huxs+NOfoKhIOX/+vPJnUZFyPjtbud727cr59kII/frB//gfsHAhhIcr50aPVhIjRowAoKmpiVdeeUU6RHhA5/0CTsjP921ABQXqc0P2CwghuqPPJEN0bdt7+FKTV+b9T5d5pG2vEEIIIcS9NTQ0UFxczNGjRykuLqahocHXIYk2GRkZatXHmsNnuHn8gk/iuHnsAjWHzwBKNcjFixf7JA4hRO/g2rb3SGWzDyPpcPRKRxzStlcIIYQQj4KSkhJSUlLIy8tTz0XExTHihRd46vnniUpIQB8ZSUCXL64DtFr0kZFEJSTw1PPPM+KFF4ho6/wFkJeXR0pKCiWuFSKF1yxatEitvGhrbuaH48ex29xbiMxus/HD8ePYmpX30NOnT2fhwoVunUMIIbKzs9Hr9QAc35PD1zs/eahxvt75Ccf35ACg1+vJzs52W4xCCCGEEL1FdXV15/dBQUEdl1ta4OJF+Ppr+OMflc4Pmzcrf/7xj8r5ixeV67WLjITp0+FXv4Jx427rIoleryRItCWhNjU1MWvWLKqrqz14Lx9NrvsFKCmB06d9E0hZmdotRPYLCCG6q88kQ0Dntr0l16x8X+OZKjXtvq+xUnJNmUPa9gohhBBC3FlZWRlvv/02I0eOJDw8nNTUVCZNmkRqairh4eGMHDmSt99+m7KyMl+H+kiLiopi3bp16vH5Df9Gq9m7G4tbzc2c3/Bv6vH69euJioryagxCiN7FtW3v2dpWblrsPo2n1mLn7E2lQ4W07RVCCCHEo6C4uJgpU6ZQU1MDQGBICE9MmEB8air92is5dlO/8HDiU1N5Yvx4AkNCAKipqWHKlCmSEOEDGo2GLVu2EB0dDYClro6LR4+6rUOEzWrl4tGjWOrqAIiOjiYnJ0eKjgkh3C4hIYFPPulIgDjwya/4139+mxZLY7du32Jp5F//+W0OfPIr9dy6detISEhwe6xCCCGEEP7M6XSydOlS6uvrlRMjRsD//J9KssKYMdC+kf5+IiKU6y9aBKtWwU9+Av373/36gYEwZ47aIaK+vp4lS5bgbO8qIdyi634BvvoKLJaHH7CxUen+cfiw0unh4EHlz8OHlfONd3g/brEo87aR/QJCiO4K9HUA7tTetrc9G2zP942siIhAH+T+nA9Lq4M933e8IEvbXiGEEEKIzi5cuEBWVhYFBQX3vF55eTnl5eVs2LCBtLQ0srOz5YskH5k3bx5ffvkl+/fvp7XewtmPD/Cj918mIMjzHxscrTbOfrSfVqOyoDJz5kzmzp3r8XmFEL1be9ve1atX4wTyL1h4I8l3n80LLlhoX3qXtr1CCCGE6OsqKytJT0/HZDIBoB8wQElk0Ol6NG7Y4MGMHDCAH44fx1JXh8lkYtq0aRQXFxPn0jlCeF5cXBz5+flMmTIFk8mEpa6Os4cOMXTsWMIGDXrocRuuXePKyZNqR4jw8HDy8/Pl31cI4TFLlizh+vXr/PrXvwaUDhFnv8nn+bm/JGXGHEIMtyfwNZtNFO/fxdc712G8WqGe/+CDD8jIyPBa7EIIIYQQ/mLHjh3s379fOTAYYPZs0OngRz9SfkDZ4F5ZCdeugdUKdjtotcr1Bg+GuDgIDX3wyQMDlfk+/hgaG9m/fz87d+5k3rx57ruDotN+Acxm2L1bSXYJ7MZ+AYdDSXIoKoKKCmhbL7qn8HCIj4fUVBg+HHbtUpMkZL+AEOJB9KlkCFDa9u7Zs4e8vDwaWpxs/9ZMRkoYOq37KslY7U62lZhpaFG2OEjbXiGEEEKIznJycli+fDkWl0oBOm0AzwwKY8ygcAy6QMxWG6eumzh5vQGr3QFAQUEBSUlJrFu3Tr5Q8gGNRsPmzZtJSkqivr4eY0kFZz46wNP/8JJHEyIcrTbOfHQA47eXAYiMjGTz5s1SDVII0S0ZGRl89NFHGI1GSq5ZeWaQldExPduA9zDKbnTuHilte4UQQgjRlzmdThYvXqx2hNAPGEDCxIlou/PleDcE6nQkTJyodg6oqakhIyODAwcOyGdFL0tOTubQoUNMmzaNmpoabM3N/HDsGBFxccQMH/5AHUCaTCZunD+PsbJSPRcdHU1BQQFjx471QPRCCNHh/fffZ9CgQeq6tfFqBfs+Ws6BT37F4KeSeGzEGHT9QrE2NXK1/BTXzpVib+3ohqPX62XdWgghhBCPrNraWpYtW9Zx4tVXQa+//YqhofD008qPu+n1yry5uQAsW7aMl156SToHuFHX/QKUlysJCnPm3D0h4tYtOH4cjh2D9q4h3WUywalTyk9QELQq3ddlv4AQ4kH1uWSI9ra9KSkp1NTUcMloY0txAwvHGtzSIcLS6mBbiZkKkw3wbdve2tpar8/Z19zpMZTH1T3ksfUMeVw9Qx5Xz5HH1jP8/XFdu3Ytv//979Xj+PB+rJz0FHPHDCU8JOi265uaW9l56gprjpyjwtSExWJhyZIlXLx4kb//+7/3Wtz+/rh6i06nY8eOHfz3//7faWpqou7YBb774E+MfPclggwhbp+v1dzM2Y/2q4kQer2eHTt2EBQUpG6qEXcmz1nPkMew92lv27tgwQIAvvq+kSciPdMl8m4srQ6+cuke6a22vfJ87Tl5LfUMeVw9Rx5bz5DH1XPksfUMf3hcd+/eTX5+PgCBISE8MX682xIh2mkDA3li/HjOHjqErbmZvLw8/vf//t+88cYbbp2nnT88rv4qLi6OwsJC/v7v/57/+I//AMBYWYmxshL9gAFExsbSLyKCfuHhBLh0R3PY7TSZTDQZjdRXVmLpsiniJz/5Cf/rf/0vhgwZImsAD0Ges54hj2HftmTJEl588UXeeusttaOxvdVK1XdFVH1XdNfb+WtHY3m+9py8lnqGPK6eI4+tZ8jj6hnyuHqOLx7b9evXq50hSU6G0aM9Ot9dJSYq85eUYDQaWb9+Pb/4xS/cMrQ8ZxVd9wtw+jRs36505nBNgHE6lS4Qe/dCW+dHVXAwxMYqnUCGDIH+/ZVkCptNSZ6orlY6iFRVQUuLcpu2RAiA+fPnExgYKGsF9yHPWc+Qx7B30jidTqevg/CEkpIStW0vQFiwhtdGhTIq+uGrQ35fY2XP941qR4jw8HAOHTpEcnKyW2K+l5qaGmJiYjw+jxBCCCGEO2WmPs7HaYmE6u6/IaLRauPdgjI2FV3yfGDigQVF6hn+8xcZOP5Jt41589gFzm/4N1qNlvtfWQgfunHjBtHR0b4OQ9yD0+lk1qxZanvmEQODWDjWQGCA5wsX2BxK98hzdcoi7cyZM/nTn/7k9qIJsi4ghBBCCH/1xIQJhA0a5LHxG65d44fjxz02vnAjjYZAnfI9nMNux2Gz+TggIdxD1gX6prKyMjZv3kxhYSHl5eW4bpvQaDSMGDGCqVOnkpmZyWhfbfZzIesCQgghhPALGg386lcwcKDvYqithY8+UjbjC+8xGJTOHKNHKx0dvvoKvv++4+81Ghg5EiZNUv4M6EbRMocDzp6FI0eUP+XfVPgpWRfwf302GQKUhIj2tr3tkgfr+JvH+xFr6H6Foiqzjf+81ETJtY42mN5u2yuLG0IIIYTobdamJfL3E4c/+O2OnGNl4WkPRCTcIfqFp4mfPZGQwREPPUbTVSOX/3CUmsNn3BeYEB4kixu9Q1VVVUfbXmB0dBBzxng2IcLmcLLrlJnTNR1te8vKyhgyZIjb55J1ASGEEEL4o4i4OOJTUz0+T0VREcbKSo/PI4QQdyLrAn1fQ0MDFy5coLm5mZCQEIYPH47BYPB1WJ3IuoAQQggh/MLTT8Obb/o6Cti6Fc7Id80+8dRTcOVK524QyckwbVrPkmRu3oT8fCgp6XmMQriZrAv4vz6dDAFQWVlJRkYGeXl5nc7HhweS/FgwQ8O0PBYaSJC2Y3NEq93J1UYbVxrslFxtocLUuXJNeno6W7ZsIS4uziv3AWRxQwghhBC9S2bq42TPHPvQt3/rz99Khwh/poHIlMd57KVniEx9HI32/lUdnHYH9UWXuHrgJPXFl6BPfwoRfY0sbvQe33zzDVOnTlXa9qJ0iJidFIo+qBvVZx6QpdXBrlONakcIvV5PQUEBkydPdvtcIOsCQgghhPBPI154gX7h4R6fp8lkovzwYY/PIzxAoyEoOBiNVovTbqe1pUUqPYpeR9YFhD+QdQEhhBBC+IVFi2DUKF9HAd99B9u3+zoK4dotwl1On1a6TpjN7htTiB6SdQH/1/32CL1UXFwcBw4cYPv27axYsQKj0QhAhcmmJjkEaMCgC0AbAHYHmK0OHHdYh42IiGDt2rUsXLgQjcZzlSWFEEIIIXqz+PB+fJyW2KMxPk5L5OD561SYmtwUlXArJ9QXXaK+6BLafjr6J0QTOnwQoU/GEGgIISBIi6PVjs3cTOOFGzSev86tizXYm6z3H1sIIXpg8uTJ7N27l1deeYWmpibKb7ay5oiRV0eFMjpG57Z5ym5Y+er7RhqtyuKBXq9n7969HkuEEEIIIYTwR/oBA7ySCAHQLzwc/YABWOrqvDKf6Bn9gAFExsaij4wkJCyMAK1W/TuH3U5zQwOW+nrqq6rk31QIIYQQQggheovgYBg50tdRKJ5+WomnpcXXkTy6RoyA2bNBr3fvuKNHwxNPwO7dUF7u3rGFEH1Wn0+GANBoNCxatIjXX3+d3bt3s2HDBsrKytS/dzjB1OK46+2TkpLIyspi9uzZftUO87vvviMqKsrXYfRqtbW1/OhHP+p0Th5X95DH1jPkcfUMeVw9Rx5bz/DHx3XVqlVs27YNgJWTniJU17O3maG6QFZMHM4v8koBePPNN/nwww97HOe9+OPj6m9u3rzJ7t27yc3N5cqVKwDYm6w0nK6i4XTVA421fPlylixZwsCetMp8xMlz1jPu9LiK3mXq1KkAX7UnAAEAAElEQVQUFhYya9Ys6uvrMVudfHHSTPJgHdOe1DNQr73/IHdRa7FTcMFCybWO5K7IyEj27dvnk0QI+T/fc/Ja6hnyuHqOPLaeIY+r58hj6xm+fFy3bt3KP/7jPwIQGRvr8flcRcbGqhvnP/zwQ9588023ji/P1wdTWlrK//gf/4Pa2lr1XERcHDHDh98zSSZAq0UfGYk+MpKohASaTCZunD+PsbJSvU5UVBT/5//8H5KSkjx6H3o7ec56hqwLiN5E/s/3nLyWeoY8rp7jj4/tzZs32bVrFzt27FC/O3oYQ4cOZd68ecyZM8fr3x354+PaF8jj6jnefGxramoY3V71PzYWAtzfifuhBAQo8Vy8CLjn/stz9u6uXr3K3/zN36iFyElMVBIhAj20/Vivh4ULYdcupVMESiHzv/zlLwwePNgzc/ZC8pz1DFkX6J0eiWSIdgaDgczMTJYuXUpxcTHHjh3jxIkTFBcXc/PmTVpaWggODmbgwIGkpKQwbtw4JkyYQEpKil92goiKipLWKx4gj6vnyGPrGfK4eoY8rp4jj61n+Ppx/etf/wqAThvA3DFD3TLmvGeGsbLwNFa7g7/+9a8+uX++flz9TXR0NB988AH/83/+Tw4ePEhubi7Hjx9/qMVtk8mEzWaTx9fN5DkrhGLy5MmUlpaydOlS9u/fD0DJNSvfXrMycmAQE4eG8HRUEAHd+KzvcDo5U9vK0SvNnL3ZimsjyRkzZpCTk8OQIUM8dE/uTf7Pe4Y8rp4hj6vnyGPrGfK4eo48tp7hrcf1zJkz6mV9ZKTH53PVLyJCvXz27Fmv3F95vt5ZcXExf/d3f4fJZAIgMCSEoWPHEjZo0AOP1S88nPjUVCJjY7ly8iS25mZqa2v5u7/7Ow4dOkRycrK7w+/T5DkrxKNF/s97hjyuniGPq+f46rF1Op3s2LGDZcuWqe8LVcHByibluDgYMgT691c2zNpscOsWVFdDZSVUValV3a9cucI//dM/sWHDBtatW8e8efN8uldLnrOeIY+r53jqsT1x4kTHQVyc28fvEZdkiIqKCkaNGuX2KeQ5q7zeL1y4sCMRor0jhKcSIdoFBsKcObB9O5SXYzQa+cd//Ef27dvnl3t5/YU8Z8Wj6pFKhmin0WhITU0lNTXV16EIIUSf5HQ6KSoqUpPOSkpKqK2txWq1otPpiIqKIjk5WU06S01NlTeqQvRiDQ0NlLe1J3xmUBjhIUFuGTc8JIgxg8I4UW2kvLwcs9nsV126HmVarZaZM2cyc+ZMAG7cuEFxcTGHDx9mz549XLhw4b5jbNu2jW3btpGWlkZ2djYJCQmeDlsI8YiJjY1l3759nb6QcwJnbrZy5mYrwVoNsQYtsWGBxIYF0j9IQ2CABpvDya1WJ1UNNuXHbKfF7uw0dkREBOvXr2fu3LnyPlYIIe5A1gWE6LtKSkqUCxoNIWFhXp27X3g4aDTgdFJcXOzVuUWHyspK0tPT1Q1v+gEDeGL8eAJ1uh6NGzZ4MCMHDOCH48ex1NVhMpmYNm0axcXFxPnbhhshhBBCiEdcVVVVp0I0gPJefeRImDRJ+fNe1ePb92s5HHD2LBw5ovzpdGI0GlmwYAFffvmlTwvRCCEUp9uq8gNKcpM/celYWVZWRnp6ug+D6bt27NjR8XpvMHgnEaJdYKAy38cfQ2Mj+/fvZ+fOncybN8878wsheo1HMhlCCCGEZ5jNZnbt2sXGjRspKyu76/Wqq6s5deoUubm5ACQmJpKVlcWcOXNko7MQvdD58+fVy2MGhbt17GcGhXOi2ojT6eT8+fNSDdBPxcTEcPnyZT799FMsFot6XqcN4JlBYYwZFI5BF4jZauPUdRMnrzdgtTsAKCgoICkpiXXr1pGRkeGruyCE6KM0Gg3z589nxowZfP7552zatImKigoAWuxOLhptXDTauj1efHw8mZmZLF68WFrMCiHEHci6gBB9X21tLQBBwcEEaLVenTtAqyUoOJjW5mZu3rzp1bmFwul0snjxYmpqagAlESJh4kS0btoEEajTkTBxIhePHsVSV0dNTQ0ZGRkcOHBAkuaEEEIIIfzEN998w6xZs6ivr+84mZwM06bBwIEPNlhAAIwapfzcvAn5+dCWgL1//34SExPZt28fkydPduM9EMI/3bhxg6KiIk6fPk1jY6NaVCQ0NJTRo0eTmppKTEyM1+NqbGzsOOjf3+vz35NLPLdu3fJhIH1XbW0ty5Yt6zjx6qug13s3CL1embdtLXnZsmW89NJL8j2dEKITSYYQQgjRY06nk23btrFy5cqOtmguAjRg0AUQGAA2B5itDhwuxXXLysrIyspi9erVrFmzhkWLFsmXW0L0Ii1t7WsBDDr3vr0M1XVsrGhubnbr2MJ9PvjgA37961+rx/Hh/Vg56Snmjhl6x04hpuZWdp66wpoj56gwNWGxWFiyZAnXr1/nvffe82boQohHRFRUFKtWreLdd9/l4MGD5Obmcvz4ca5cuXLf2w4dOpTx48ezYMEC0tPT0Xp5058QQvQG91sXQKMhKDgYjVaL026ntaUFnB0LA7IuIETvYbVaAdD46D2Rpq26rOtahPCebdu2kZ+fD0BgSAhPjB/vtkSIdtrAQJ4YP56zhw5ha24mLy+P7du3s2jRIrfOI4QQQgghHlxhYSGvvPIKTU1NygmDQdmgOnp0zwcfOBDeeAOeeQa++grMZurr65k6dSp79+5l6tSpPZ9DCD9it9s5cOAAO3bs4NixY1RWVt73NnFxcUyYMIGf/vSnng+wTfs6AOC9bgDd5RKPrBN4xpYtW9TOkCQnu+f1/mEkJirzl5RgNBr5/PPPWbVqlW9iEUL4JT/7DSWEEKK3qaysJCMjg7y8vE7nH48IZOzgYIaGaXksNJAgbccmhla7k6uNNq402Cm52kKFSanGazQaWbx4MXv27GHLli3S/lyIXiI4OFi9bLZ2v7p2dzRa7erlkJAQt44t3CMnJ6dTIkRm6uN8nJZI6D0SY8JDgnj7uQQWjB3GuwVlbCq6BMD7779PTEwMS5Ys8XTYQohHlFarZebMmcycORNQKi0VFxdTVlbGrVu3aGlpITg4mP79+5OYmEhqairR0dE+jloIIfzb3dYF9AMGEBkbiz4ykpCwsE4V5B12O80NDVjq66mvqsJSVwfIuoAQvYFOpwPAabff55qe4XQoXQZd1yKEd5jNZlauXKkeDx07lsC254O7Bep0DH3mGX44fhyAFStW8Prrr0v3ICGEEEIIH/rrX//aORFixAiYPdv9FcJHj4YnnoDdu6G8nKamJl555RUKCwulQ4ToE2pra9myZQubN29WO1l3V2VlJXv27GHPnj0eiu52OtfPfTb37gXoMZd4ZJ3A/ex2O5s2bVIONBqlA5AvpaXBt9+C08mmTZt49913pYCZEEIlyRBCCCEeWklJCdOmTVPbogMkD9bxwuP9GGK4+6+YIK2GYeFBDAsPYvLQEKrMNv7zUhMl15SM8ry8PFJSUsjPzyc5Odnj90MI0TPDhw9XL5+6bnLr2CfbxtNoNJ3mEf7hwoULLF++XD1em5bI30/s/r9TqC6Q7JljGT6gPysLTwOwfPlyXnzxRRISEtwerxBCdBUTE0NKSgpOp5PTp0/jdDppaWnB6XRSVlaG0+n0WetpIYToDe60LhARF0fM8OH0Cw+/6+0CtFr0kZHoIyOJSkigyWTixvnzGNsq4Mm6gBD+KyoqiurqalpbWnDY7Z0SnTzN0d5ZBhg4cKDX5hWKXbt2qd1/IuLiCBs0yKPzhQ0eTERcHMbKSoxGI7t37yYzM9OjcwohhBBCiDurqqri5Zdf7kiESExUEiE8VSVer4eFC2HXLjh9mqamJmbNmkVZWRlDhgzxzJxCeJjT6WTHjh0sW7aso9J+u+BgiI2FuDgYMgT691f+f9lscOsWVFdDZSVUVcFdOiA4XbqwulNoaGjHwa1bHpnjobnE079/fx8G0jcdPHiQy5cvKwcjRyodfHwpKkqJ48wZKioqyMvLY8aMGb6NSQjhNyQZQgghxEMpLi7mJz/5ifohLSxYw2ujQhkV/eDVwGINgbyRZCB5sJU93zfS0OKkpqaGKVOmcOjQIdn4IPo8p9NJUVERx44d48SJE5SUlFBbW4vVakWn0xEVFUVycjLjxo1jwoQJDBs2zNchdxIWFsaIESMoLy/n5PUGTM2thIcE9XhcU3Mrp643ADBixAip/ueHsrKysFgsgNIR4kESIVytmPQU5+tusanoEhaLhbfeeov8/Hx3hiqEEKqetJ6eP38+06dPl0ozQgjB7esCgSEhDB079qE2x/YLDyc+NZXI2FiunDyJrblZ1gXEI+NB1wRSU1N9Gm9ycjKnTp0Cp5Pmhgb0kZFem7vJZIK2zR0pKSlem1coz9ONGzeqxzFeKlgRM3y4mii3ceNGli5dikajuc+thBBCCCGEOzmdTpYuXUp9fb1yor0jhKcSIdoFBsKcObB9O5SXU19fz5IlS9i3b5+8JxS9TlVVFUuXLmX//v0dJzUaZWP3pEnKnwEBdx+gfS3A4YCzZ+HIEeVPlwSIOXPm8MUXX7g9YWj06NEdB9XVHbH4g6oq9WJiYqIPA+mbcnNzOw4mTfJdIK4mToQzZwD44osvJBlCCKGSZAghhBAPrLKykvT0dHXDw+MRgSwca0AfdI8PZ90wKlrHiogItn9r5pLRhslkYtq0aRQXFxMXF+eO0IXwK2azmV27drFx40bKysruer3q6mpOnTqlftgcNWqUt0LstqlTp1JeXo7V7mDnqSu8/VzPq/rvOHkZq92hji/8S2lpKQUFBQDEh/fj47SeLTB9nJbIwfPXqTA1UVBQQFlZmSxaCSHcyl2tp+Pj41m6dCkZGRlERUV5KFohhPBvXdcF9AMG8MT48QTqHrxAgquwwYMZOWAAPxw/jqWuTtYFRJ/2sGsCiYmJzJ0711th3mbcuHFqLJb6eu8mQ7R1JWiPQ3hPUVGR+jzVDxhwz+4/7tQvPBz9gAFY6uooLS2luLjY5wlBQgghhBCPmh07dnRs4DYYvJMI0S4wUJnv44+hsZH9+/ezc+dO5s2b5535hXCDb775hlmzZnUkFAEkJ8O0aQ9eaT8gAEaNUn5u3oT8fCgpAaCwsJDExET27dvH5MmT3RZ/p89g3Sgu5VUuyRDyWdH9jh07plwIDlYSdvzB008r8bS0cPz4cV9HI4TwIz3btSqEEOKR43Q6Wbx4MTU1NYCSCJGREtbjRIh2+qAAMlLCeDxCWUCpqakhIyPDYy39hPAFp9PJ1q1bGTZsGFlZWbdtegjQQHhwAAP7BRAeHEBAl+Im33//vRej7Z7MzEz18poj52i02no0XqPVxtqj5+84vvAPmzdvVi+vnPQUobqeLXyH6gJZ4dJZwnV8IYToCafTSW5uLsOHD2f16tWdEiGCtRoSIgP58bAQfpYYypvJBpamhvFmsoGfJYby42EhJEQGEqzt+GVcUVHB6tWreeqpp8jNzZX3qUKIR07XdQH9gAEkTJzY40SIdoE6HQkTJ6IfMACQdQHR99xvTQCNhqCQEHT9+xMUEqJUinRRVlbGr371Ky9G3NmECRPUy/Uumw68wXU+1ziE56kbIIDI2Fivzu06n2scQgghhBDC82pra1m2bFnHiVdfBb3eu0Ho9cq8bZYtW0Ztba13YxDiIRUWFjJ16tSORAiDARYsgDfeePBEiK4GDlTGWbBAGReor69n6tSpFBYW9mxsFzExMR1FSqqqlO4U/sDhUJMhhg4dSnR0tI8D6ltu3LjR0Vk9NvbenUu8KSBAiQe4cuWKukYthBCPbGeIh2k9LW3WhBACtm3bRn5+PgBhwRoWjjWg07r39VGnVcZde9RIQ4uTvLw8tm/fzqJFi9w6jxC+UFlZSUZGBnl5eZ3OPx4RyNjBwQwN0/JYaCBBLv+vWu1OrjbauNJgp+RqCxWm2xMNqqurffoBPzExkbS0NAoKCqgwNfFuQRnZM8c+9HjvFpRRYWoCIC0trXP7TeEX2hfRdNoA5o4Z6pYx5z0zjJWFp7HaHW5dpBNCPLru1HpaA4yMCmJSXAgjo4IIuMdn/dTHggFwOJ2crW3lSGUzZ2tbcQJGo5EFCxbw5ZdfkpOT4/bW00II4a9c1wUCQ0J4Yvx4tG6uCKkNDOSJ8eM5e+gQtuZmWRcQfcbd1gT0AwYQGRuLPjKSkLAwArRa9e8cdjvNDQ1Y6uupr6rCUlfn7bA7SU1NJTExkbKyMix1dTSZTF7pEtBkMqn3PSkpiZSUFI/PKTqcOHFCvezNbiAA/SIi7hiHEEIIIYTwvC1btqhdIUlOBl99X5eYqMxfUoLRaOTzzz9n1apVvolFiG7661//yiuvvEJTk/KdNyNGKJ1O3J1QNHo0PPEE7N4N5eU0NTXxyiuvUFhY6LYOERMmTGDPnj3Q0gJnzyqdKXztzBklHmD8+PE+DqbvKSoq6jjwt469sbFw8SKgxJmenu7jgIQQ/sBPUra8x2w2k52dzZgxY3j22Wd55513yM3N5dSpU1RXV1NbW9up7fQ777zDs88+y5gxY8jOzsZsNvv6LgghhM+YzWZWrlypHr82KtRtHSG60gcF8NqoUPV4xYoV8hoser2SkhJSUlI6bXpIHqxj+YRwfv5sOJOHhjAsPKhTIgRAkFbDsPAgJg8N4e3nwvnlhHCSB3euuvriiy9S0tYC01eys7PRty3ebCq6xNoj5x5qnLVHzrGp6BIAer2e7Oxsd4Uo3KShoYHy8nIAnhkURnhIkFvGDQ8JYsygMADKy8vldV8I0SPffPMNSUlJnRIhkgfr+NXkCN5MDmNUtO6eiRCuAjQaRkXreDM5jF9Njuj0e3j//v0kJibyzTffuP0+CCGEv+m6LjB07Fi3dYToKlCnY+gzz6jHsi4gers7rQlExMUx4oUXeOr554lKSEAfGdkpEQIgQKtFHxlJVEICTz3/PCNeeIGIO3wJXVpa6vH7AKDRaMjKylKPb5w/f49ru4/rPFlZWVK8ysvUNSeNhpCwMK/O3S88XO2QUlxc7NW5hRBCCCEeZXa7nU2bNikHGg1Mm+bbgNLS1PeFmzZtwm63+zYeIe6hqqqKl19+uSMRIjERFi70XGcVvV4Zvy1hqampiVmzZlFdXe2W4efPn99xcOSIW8bssaNH1YsLFizwXRx91OnTpzsO/K0YmEsHyds6rgohHlmPTDLE/VpPB2ggPDiAgf0CCA8OIKDLOnpZWRlZWVkMGzaMrVu3Slt2IcQjadeuXRiNRkDZSDYq2jMbHtqNitapG82MRiO7d+/26HxCeFJxcTFTpkxR2/SFBWtYNNbAG0kGhhgerIpqrCGQN5IMLBprICxYedNSW1vLlClTfJoQkZCQwCeffKIeryw8zVt//pZG6+2dLO6k0WrjrT9/y8rCjg/W69atIyEhwe2xip4577IJZcwg91YAfaZtPKfT2WkeIYR4EF1bTxt0GhY8o/zeHajX3ufW9zZQr+WNJAMLnjFg0Cm/hz3ReloIIfyR67pARFwcYYMGeXS+sMGD1U3fsi4gerOuawKBISE8MWEC8ampD9xVoV94OPGpqTwxfjyBISHq+b/927/12prAnDlziGir1m+srKTh2jWPztdw7RrGykoAIiIimD17tkfnE7erra0FICg4+LaEHU8L0GoJClY6tt28edOrcwshhBBCPMoOHjzI5cuXlYORI2HgQN8GFBWlxAFUVFTc1nFPCH/hdDpZunSp+v2E2hHCzZ1VbxMYCHPmKPOhfG+xZMkSt+xxnD59OvHx8crB2bPg689mtbVKHEB8fLx0BvCAxsbGjoP+/X0XyJ24xHPr1i0fBiKE8CePRDJEZWUlL730EosXL1a/rAN4PCKQnz7dn3eeC+N3Uwbw3o8jWfX/RfLejyP53ZQBvPNcGD99uj/x4R1vRoxGI4sXL+all16ism3xXQghHgVOp5ONGzeqxy883s8r8/6NyzwbN26UZDTRK1VWVpKenq62kX08IpAVEyN6nFA0KlrHiokRPB6hvFcxmUxMmzbNp+9RlixZwm9/+1v1eFPRJRI3/jufHr+Aqbn1jrcxNbfy6fELJG78d7UjBMAHH3xARkaGp0MWD6GlreUogEHn3oW7UF3Hporm5ma3ji2EeDR0bT09YmAQKydFMDrGvYm8o2N0rJwUwYiBSnec9tbT0iFCCNFXdV0XiBk+3Cvzus4j6wKiN+q6JqAfMICRU6b0OJkobPBgRk6Zgn7AAEDp4OetNQGDwcCaNWvU4ysnT2KzWj0yl81q5crJk+rx2rVrMRgMHplL3J217d9X4+VEiHaaAOXrTNf1CCGEEEII4Vm5ubkdB5Mm+S4QVxMnqhe/+OIL38UhxD3s2LGjo2O1weCdRIh2gYHKfKGhgNLZeufOnT0eVqvVsnTpUuXA6YT8/B6P2SMFBUocQGZmJloffVbty6yu6zzeev52l0s8sk4ghGjX55Mh7tR6OnmwjuUTwvn5s+FMHhrCsPAggrSdW0EEaTUMCw9i8tAQ3n4unF9OCFerkwPk5eWRkpLi0+rLQgjhTUVFRWpXnccjAh+4kv3DijUEqklppaWl0gpd9DpOp5PFixer1R8fjwgkIyUMfZB73obpgwLISAlTEyJqamrIyMjw6Qah999/n82bN6Nva/NZYWriF3mlxKw5yLNbDrP4TyX8Mu8Ui/9UwrNbDhOz5iC/yCulwqRsWtXr9eTk5PDee+/57D6Iewtuq8gIYO5m54/uarR2tDUOcalyKoQQ3dG19XRijI6FYw1u+73blT4ogIVjDYyO7kiIcGfraSGE8Ceu6wL6AQMeuJr9w+oXHq5u9pZ1AdHbdF0T0A8YQMLEiQTq3JOkGajTkTBxovp/xJtrAosWLVIrL9qam/nh+HHsNvd+PrTbbPxw/Di2tkT56dOns3DhQrfOIbpH1/acddrt97mmZzgdDqDzeoQQQrhbQ0MDxcXFHD16lOLiYhoaGnwdkhBC+NSxY8eUC8HBakcGn3v6aSUe4Pjx4z4ORojb1dbWsmzZso4Tr74Kbd+Ze41er8zbZtmyZWq3v57IyMhQu0RSUgKnT/d4zIdSVqbMj9I9cvHixb6Jo4/Tua5duXm9p8dc4pF1AiFEuz6dDNG19XRYsIZFYw28kWR44E28sYZA3kgysGisgbBgJXGipqaGKVOmSEKEEOKRoC52AGMHe/fNZPJjHfO5xiFEb7Bt2zby2yojhAVrWDjWgK5LEmZP6bTKuO3vUfLy8ti+fbtb53hQS5YsobS0lLS0NPWc1e7gRLWRrSUVrD9+ka0lFZyoNmK1O9TrpKWlUVpaKh0h/Nxwl+q8p66b3Dr2ybbxNBpNp3mEEOJ+uraeHjEwiNlJoQQGuPf3bleBARrmjDGoHSLc2XpaCCH8ievn8cjYWK/O7TqfrAuI3sR1TSAwJIQnxo9H6+ZqetrAQJ4YP57AtmRyb60JaDQatmzZQnR0NACWujouHj3qtg4RNquVi0ePYqmrAyA6OpqcnBw0Gs++txN3FhUVBUBrSwsOLydEOOx2WtsqPQ4cONCrcwsh+r6ysjLefvttRo4cSXh4OKmpqUyaNInU1FTCw8MZOXIkb7/9tpoULIQQj4obN250dJ2LjYUAP9leFhCgxANcuXJF3Q8mhL/YsmWL2hmS5GQYPdo3gSQmKvMDRqORzz//vMdDRkVFsW7duo4TX30FFkuPx30gFosyb5v169ern1eFe4W2dRcB4NYt3wVyJy7x9O/f34eBCCH8iZ+8W3W/rq2nH48IZMXECEZF96zi0qhoHSsmRqjVl00mk9daTwshhC+dOHFCvTw0zLst5lznc41DCH9nNptZuXKlevzaqFCPVqZ+bVTHB9IVK1ZgNps9Mld3JSQkkJ+fT2lpqfqFUtdNCxqNptMXSvn5+SQkJPgoYtFdYWFhjBgxAoCT1xswNbe6ZVxTcyunrisV10aMGIHBYHDLuEKIR4Nr62mDTuOVRIh2gQHKfKE6ZT53tZ4WQgh/4vp5XB8Z6dW5+7VXnUPWBUTv0XVNYOjYsW7rCNFVoE7H0GeeUY+9tSYQFxdHfn4+4W2dYix1dZw9dIiG69d7NG7DtWucPXRITYQIDw8nPz+fuLi4HscsHk5y2yYanE6avVwpvclkgrZE45SUFK/OLYTouy5cuMC0adNISkpiw4YNlJeX3/F65eXlbNiwgaSkJKZNm8bFixe9HKkQQvhGUVFRx4G/vQ93KZjQKU4hfMxut7Np0yblQKOBadN8G1BamhIHsGnTJuxuSGyfN28eM2bMUA7MZti923tdA2w22LULGhsBmDlzJnPnzvXO3I+g0a6JPP7WDb2qSr2YmJjow0CEEP6kTyZDdG09/XhEIBkpYW7bfKgPCiAjJUxNiPBm62khhPCV9i44ARp4LNS9Fezu57HQQNr3sRUXF3t1biF6YteuXRiNRgCSB+t6nJR5P6OidSQPVuYwGo3s3r3bo/N1V2JiIp9++ilnzpzBaDRSXFzMkSNHKC4uxmQycebMGT799NPOH6iF35s6dSqgdPzYeeqKW8bccfKy2imkfXwhhOiOrq2nX/VgAuLd6IMCeNUlMdFdraeFEMJfqN1xNRpCwsK8One/8HD1y1tZFxC9heuaQERcHGGDBnl0vrDBg4lo26TkzTWB5ORkDh06pHaIsDU388OxY1QUFSmb2B9Ak8lERVERPxw/jq25GVA6Qhw+fLhjM77wiXHjxqmXLW2d2Lylqe3/Udc4hBDiYeXk5DBmzBgKCgrUc9ogHXGjxzHupwuZ/MYvGPfThcSNHoc2qGNNv6CggKSkJLZs2eKLsIUQwqtOnz7dcTBkiO8CuROXZAjp3CP8ycGDB7l8+bJyMHIk+LqzXVSUEgdQUVFBXl5ej4fUaDRs3ryZyPZCKeXlSoKCpxMi2hMhzp0DIDIyks2bN0v3SA9KTU3tOPC3IuEuyRCd4hRCPNL6ZDKEa+vpsGANC8ca0Gnd+8tPp1XGDQtWxvVW62khhPCV9o1cBl0AQW5+Tb2fIK0Gg075lXXz5k2vzi3Ew3I6nWzcuFE9fuHxfl6Z929c5tm4caPfJWuGhYWRnJzMxIkTSU5Olsr/vVhmZqZ6ec2RczRae7bI1Wi1sfbo+TuOL4QQ9+Paejp5sI7RMZ5NQLybxJjOiYnuaD0thBD+on1dICg4mACtdztGBmi1BAUHA7IuIHqHrmsCMcOHe2Ve13m8uSaQnJxMcXEx6enp6jljZSXlhw9z7uuvqb14kVt1dTi6VKF02O3cqquj9uJFzv3lL5QfPozR5Qv29PR0iouLGTt2rFfuh7i7CRMmqJfrXTYdeIPrfK5xCCHEw/jggw9YunQpFosFgIjH4pn1D+t479+q+PnOI7z6683MXLmGV3+9mZ/vPMJ7/1bFrH9YR8Rj8QBYLBaWLFnC7373O1/eDSGE8LjGtsrrAPTv77tA7sQlnlu3bvkwECE6y83N7TiYNMl3gbiaOFG9+MUXX7hlyNjYWPbt20e/fm37Ek6fhu3boe39ldtZLLBtmzIPoNfr2bdvH0P8LVGrj4mJieno0FlVBQ6HbwNq53CoyRBDhw5Vi3MIIUSfS4bo2nr6NQ9Wg9QHBfCaS9VHb7WeFkIIX7BarQAE+ug3h7Zt3paWFt8EIMQDKioqUquRPB4RyBCDdzqqxBoCiQ9X5iotLZWqqcJjEhMTSUtLA6DC1MS7BT2rvvNuQRkVpiYA0tLSpFOIEKLbXFtPa4BpT+p9Gk/ak3raU4fd1XpaCCH8Qfu6gMbLiRDtNAHKwoCsC4jewHVNQD9ggNLdxAv6hYejHzAA8P6aQFxcHAcOHGDr1q1ERESo5y11dVSVlnL+668p3b+f7/Lz+b6wkO/y8yndv5/zX39NVWlpp24DERERbN26lQMHDnR88S58KjU1lcTERED5N33Qrh8Pq8lkwlJXB0BSUhIpKSlemVcI0Tfl5OTw61//Wj0e/9oSfvllCZN+lkWI4c6/q0MM4Uz6WRa//LKE8a8tUc+///775OTkeDxmIYTwlfY1AAACvfMdZ7e5xCNrBMKfHDt2TLkQHKx2ZPC5p59W4gGOHz/utmEnT57M3r17OxIiysthzRo1YcFtysrg44/VjhB6vZ69e/cyefJk984j7kgtSNDSAmfP+jaYdmfOKPEA48eP93EwQgh/0ueSIVxbTycP1jEq2rPVIEdFd6766K3W00II4W06nfJaZ/NRsq+9bd7gtg9qQvg7dbEDGDvYu8/b5Mc65nONQwh3y87ORq9XNh1vKrrE2iPnHmqctUfOsanoEqAsYmVnZ7srRCHEI8C19fTIqCAG6n2zSbddlF7LyIFBgPtaTwshhD9oXxdw+ijJy9lWfUzWBURv4PpZPDI21qtzu87n7TUBjUbDokWLuHz5MtnZ2ermeZXTSWtzM1aLhdbmZujSuSIpKYns7GwuX77MokWL0Gi8251W3J1GoyErK0s9vnH+/D2u7T6u82RlZclzQgjx0C5cuMDy5cvV45f+/iN+uvozgvWh97hVh2B9KD9d/RkvLf+9em758uVcvHjR7bEKIYQ/aF8DAMDWs87gbucSj6wRCH9x48YNKts7HcbGQoCfbMkMCFDiAa5cuUJNTY3bhp46dSqFhYVERkYqJ8xm+OIL+MMfoKedXWtrlXFyc6GtU01kZCQFBQW8+OKLPRtbdNv8+fM7Do4c8V0gro4eVS8uWLDAd3EIIfyOn/zmdY+uradfeLyfV+b9G5d5vNl6WgghvCkqKgoAs9VBq927r3Otdidmq7LpYeDAgV6dW4iHdeLECfXy0DDvbsp0nc81DiHcLSEhgU8++UQ9Xll4mrf+/C2N1u4tjDdabbz1529ZWdhRJWTdunUkJCS4PVYhRN/l2np6UlyIDyPpMHFoRxzuaj0thBC+1r4u0NrSgsPLCREOu53Wtopfsi4gegPXz+L69k0BXtLPpSuDr9YEDAYDmZmZnDp1ihMnTvDZZ5+xYMECxowZQ2xsLFFRUcTGxjJmzBgWLFjAZ599xokTJzh58iSZmZkYDAafxC3ubc6cOWrXD2NlJQ3Xrnl0voZr1zC2bSaKiIhg9uzZHp1PCNG3ZWVlYbFYAKUjxPNzfvlQ4zw/d7naIcJisfDWW2+5K0QhhPAroaEuyWK3bvkukDtxiad///4+DESIDkVFRR0H/tbh0KVoQqc43WDy5MmUlpYyY8aMjpMlJfD738PWrfDdd+DoZsVVh0O5/tat8NFHyjhtZsyYQVlZmXSE8LLp06cTHx+vHJw92/Mkl56qrVU7VMTHx5Oenu7beIQQfsXPepn1jGvr6ccjAhli8M7dizUEEh8eSIXJpraeTk1N9crcQgjhLcnJyZw6dQqHE6422hgWHuS1ua822nC05V9IK3TRW5S0fTgP0MBjod59y/VYaCABGnA4obi42Ktzi0fPkiVLuH79utpiflPRJQ6ev86KicOZ98wwwkNu/31ham5lx8nLrD16ngpTk3r+gw8+ICMjw2uxCyH6hvaKx8FaDSOjvPce9V6ejgoiWKuhxe50a+tpIYTwpfZ1AZxOmhsavLrBu8lkUivIy7qA6A3a1wTQaAgJC/Pq3P3Cw0GjAafT52sCGo2G1NRU+b6kjzAYDKxZs4bFixcDcOXkSUYOGECgzv0d2m1WK1dOnlSP165dK0kyQoiHVlpaSkFBAQARj8Uz/Zf/0qPxpv/yXzj7TT7GqxUUFBRQVlZ2ezckIYTo5UaPHt1xUF0N/vSevqpKvSivv8JfnD7dUfiNIUN8F8iduCRDlJWVuX0DeWxsLPv27WPHjh0sW7YMU/s63pkzyk9wsBJD+0///hAYqHR5uXVL+T/d/tNWDKVdREQE69evZ+7cudIp0Ae0Wi1Lly5l9erVyr9pfj688YbvAiooUNeIMzMz0Wp92yleCOFf+lRnCNeWz2MHe7cVWvJjHfN5u/W0EEJ4w7hx49TLVxq8WwHSdT7XOITwZ7W1tQAYdAEEab37wTxIq8GgU97m3fR1dr54JLz//vts3rwZvV4PQIWpiV/klRKz5iDPbjnM4j+V8Mu8Uyz+UwnPbjlMzJqD/CKvVE2E0Ov15OTk8N577/nybggheiHX1tOxYVoC/GQxPECjIdagLMK6u/W0EEL4iuvncUt9vVfnbjIa7xiHEP6qfU0gKDiYAC9/MRug1RIUrHxfIWsCwt0WLVqkbpyxNTfzw/Hj2G3d6w7ZXXabjR+OH8fW3AwolSgXLlzo1jmEEI+WzZs3q5efn7ucYH3oPa59f8H6UJ6f+8s7ji+EEH1Fp4TmtvVXv+GSDCGJ18JfNDY2dhz4W8cSl3hueajTi0ajYf78+Zw/f54PP/ywo5sAKAkOFy/C11/DH/+odH7YvFn5849/VM5fvNgpESI+Pp4PP/yQc+fOMW/ePEmE8KGMjAy1SyQlJeCa+ONNZWVqt5CIiAi1UIMQQrTrU8kQri2fh4Z59wsG1/l81XpaCCE8acKECerlb6+13OOa7ldytWM+1ziE8GdWqxWAQB+929K2zdvS4t3/r+LRtWTJEkpLS0lLS1PPWe0OTlQb2VpSwfrjF9laUsGJaiNWe0c71LS0NEpLS6UjhBDiobi2dI7zUnfI7ooN64jH3a2nhRDCF1w/j9e7bDzwBtf5ZF1A9AbtawIaH1Wo0wQoiwKyJiDcTaPRsGXLFqKjowGw1NVx8ehRbG3P+Z6yWa1cPHoUS10dANHR0eTk5MjGFyFEjxQWFgKgDdKRMmO2W8ZMmTEHbZCu0/hCCNGXxMTEEBcXpxxUVYHDce8beIvDoSZDDB06VH1fKoSvWV0/EwX613cVrvF4ep0gKiqKVatWceHCBfbt28drr73G0KFDu3XboUOH8tprr/HnP/+ZCxcusGrVKqKiojwar7i/qKgo1q1b13Hiq6/AYvFuEBaLMm+b9evXy3NDCHEbP/vt2zPtracDNPBYqHfv2mOhgQRowOHE562nhRDCE1JTU0lMTKSsrIxLRhvVZhtDvLDhrMpso8KkVBdLSkoiJSXF43MK4Q46nfJFiM1Ha4Pte82Dg73bLUs82hISEsjPz6esrIzNmzdTWFhIeXk5zrZ2la7efPNNli9f3rnVshBCPCDX1tNDwvxricM1GcITrae748aNGxQVFXH69GkaGxuxWq3odDpCQ0MZPXo0qampxMTEeD0uIUTv5LouYKmro8lkol94uMfnbTKZ1E2xsi4geov2NQGn3bvdVds52zYqyZqA8IS4uDjy8/OZMmUKprbX6LOHDjF07FjCBg166HEbrl3jysmTakeI8PBw8vPzOzbhCSHEQ2hoaKC8vByAx0aMIcTgnvevIYZwBj+VRNV3RZSXl2M2mzEYDG4ZWwgh/MWECRPYs2ePUq397FkYNcrXIcGZM2r1+PHjx/s4GCE6tK8DAODm7nk95hKPt9YJtFotM2fOZObMmYDyXUVxcTFlZWXcunWLlpYWgoOD6d+/P4mJiaSmpkpykx+bN28eX375Jfv37wezGXbvhoULvZP4Y7PBrl3Q1n1l5syZzJ071/PzCiF6Hf/aKdBD7a2nDboAgrTerRITpNVg0AVganFI62khRJ+k0WjIysoiKysLgMOXmngjyfMLu/95qUm9nJWVJVXARK8RFRVFdXU1ZquDVrvTq+9NWu1OzFZl48PAgQO9Nq8Q7RITE/n0008B5QvHEydO8N/+23/rdJ0PP/xQFrWEED3m2nq6f5B/vU90jcdTrae7stvtHDhwgB07dnDs2DEqu9HCPi4ujgkTJjB//nymT5+O1kcVrIUQ/q/rusCN8+eJT031+Lw3zp9XL8u6gOgt2tcEWltacNjtBHjx96vDbqe1bXOQrAkIT0lOTubQoUNMmzaNmpoabM3N/HDsGBFxccQMH/5AyXJNJhM3zp/H6PLeNTo6moKCAsaOHeuB6IUQj5LzLu8lBz+V5NaxHxsxhqrvinA6nZw/f57k5GS3ji+EEL42f/58JRkC4MgR/0iGOHpUvbhgwQLfxSFEF6GhoR0HXvo+oNtc4unfv79PQoiJiSE9Pd0nRaNEz2k0GjZv3kxSUhL19fVQXq4kKMyZ49mEiPZEiHPnAIiMjGTz5s2yPiyEuKMAXwfgTu0tpwJ9dK+0bfNK62khRF81Z84cIiIiACi5ZuX7Gve0P7+b72uslFxT5oiIiGD2bPe0LxbCG9q/+HA44Wqjd6s/XG204WgrxC9VU4WvhYWFkZTk3i8ahRCinWvr6cAA/1r8dI3H0+sEtbW1fPjhhzz55JO8/PLL7Nmzp1uJEACVlZXs2bOHWbNm8eSTT/Lhhx+qxSaEEKIr13UBY2UlDdeueXS+hmvX1M2xsi4gehN1M6TTSXNDg1fnbjKZoK07n6wJCE9KTk6muLi402YWY2Ul5YcPc+7rr6m9eJFbdXU4unRIcdjt3Kqro/biRc795S+UHz7cKREiPT2d4uJiSYQQQriF6+fxYL17C3zp+nVsemxu62ojhBB9yfTp04mPj1cOzp4FXxeGra1V4gDi4+NlU7XwK6NHj+44qK72XSB3UlWlXkxMTPRhIKI3i42NZd++ffTr1085cfo0bN8OFotnJrRYYNs2ZR5Ar9ezb98+hgwZ4pn5hBC9Xp/qDNHecsrm8M389rZ5pfW0EKKvMhgMrFmzhsWLFwOw5/tGVkREoA9yfxaapdXBnu87Kv2uXbtWWgyLXmXcuHHk5uYCcKXBzrDwIK/NfaWh40vmcePGeW1eIYQQwttcW0/b2jMB/YRrPJ5aJ3A6neTm5rJs2TJMJlOnvwvWaogN0xJnCGRIWCD9gzQEBmiwOZzcanVS3WCj0myjqsFOi12JtaKigtWrV/PRRx+xbt065s2bJxV2hBCddF0XuHLyJCMHDCDQ5fXYXWxWK1dOnlSPZV1APIimpiZu3rzJwIEDO76k9SLXNQFLfT36yEivzd1kNHaKQwhPiouL48CBA2zfvp0VK1ZgbHv+WerqsNTVKVfSaAgKDkYTEIDT4VA6lzhvf+8eERHB2rVrWbhwobwHFUK4jevn8RaL2a1jW5s6vsMKCQlx69hCCOEPtFotS5cuZfXq1cr7t/x8eOMN3wVUUKC+j8zMzJQOt33UjRs3KCoq4vTp0zQ2NmK1WtHpdISGhjJ69GhSU1OJiYnxdZi3SXXtntrNQkVe45IMkeqFLq+i75o8eTJ79+7llVdeoampSekQsWYNvPoquCYE9VRZGXz1FbR1h9fr9ezdu5fJkye7bw4hRJ/Tp5Ih2ltPm60OWu1OgrTeWyxttTsxW5VsCF+3nnY6nRQVFXHs2DFOnDhBSUkJtbW16hvEqKgokpOTGTduHBMmTCA1NVUWloUQ3bZo0SL27NlDXl4eDS1Otn9rJiMlDJ0bX3OtdifbSsw0tCiLGdOnT2fhwoVuG18Ib5gwYYJ6+dtrLUwe6r0vQ0qudlS7co1DCCGE6GtcW0/favWvZAjXeDzVenrOnDkUFhaqxxpgZFQQk+JCGBkVRMA9PuunPqZsCHE4nZytbeVIZTNna1txAkajkQULFvDll1+Sk5MjlXaEEJ24rgvYmpv54fhxEiZOROvGluh2m40fjh/H1lZhV9YFxIM4cOAAb775JteuXWPw4MFs3bqVl156yasxuH4Wr6+qIiohwWtz17tscpA1AeENGo2GRYsW8frrr7N79242bNhAWVlZxxWcTlrvUTE9KSmJrKwsZs+eLUlvQgi3Gz58uHr52rlSt459tfwUoLwOus4jhBB9SUZGBh999JGS9FpSAs88494Nr91VVqbMj5JE216kQfR+drudAwcOsGPHDo4dO9atjsdxcXFMmDCB+fPnM336dL9IjImJiSEuLk6Jv6oKHA4IcH9R0QfmcKjJEEOHDiU6OtrHAYneburUqRQWFjJr1izq6+vBbIYvvoDkZJg2DXqyb7a2Vkl8a3u9B4iMjGTfvn2SCCGEuC8/+K3rPu2tpx1OuNpo8+rcVxtttBd99FXrabPZTHZ2NmPGjOHZZ5/lnXfeITc3l1OnTlFdXU1tbS3V1dWcOnWK3Nxc3nnnHZ599lnGjBlDdnY2ZrN7q2EIIfomjUbDli1b1A9Jl4w2thQ3YGl1T1seS6uDnKIGKkzK63h0dDQ5OTmStCV6ndTUVLXN5CWjjWqzd96bVJlt6v+fpKQkn70vEUIIIbzBtfV0dYN31wHup8olHk+1nnZNhEgerONXkyN4MzmMUdG6eyZCuArQaBgVrePN5DB+NTmC5MEd1d33799PYmIi33zzjdtjF0L0Xl3XBSx1dVw8ehSb1eqW8W1WKxePHlUrisu6gHgQdXV1zJ07l2vXrgFw7do15s2bR117hXovcV0TsNTV0dSlg5OnNJlM6v8dWRMQ3mYwGMjMzOTUqVOcOHGCzz77jAULFjBmzBgee+yx267/4YcfcuLECU6ePElmZqYkQgghPCIsLIwRI0YASvJCs9k9v5ObzSY1uWLEiBHyGiaE6LOioqJYt25dx4mvvgKLxbtBWCzKvG3Wr19PVFSUd2MQbldbW8uHH37Ik08+ycsvv8yePXu6lQgBUFlZyZ49e5g1axZPPvkkH374IbW1tR6O+P7UggQtLXD2rG+DaXfmjBIPMH78eB8HI/qKyZMnU1payowZMzpOlpTA738PW7fCd98piTjd4XAo19+6FT76qFMixIwZMygrK5NECCFEt/SpZAjXls9XGuxendt1Pm+3nnY6nWzdupVhw4aRlZXVueIOEKCB8OAABvYLIDw4gIAu3xuWlZWRlZXFsGHD2Lp1K847tCcWQghXcXFx5OfnEx4eDigbvdceNfJ9Tc82PnxfY2XtUaO6kTs8PJz8/Hzi4uJ6HLMQ3qbRaMjKylKPD19q8sq8/+kyT1ZWlmwYEkII0ae5tnSu9FLiYXe5JkN4svW0QadhwTMG3kgyMFDfswpYA/Va3kgysOAZAwad8h6ivr5erfQjhBDtuq4LWOrqOHvoEA3Xr/do3IZr1zh76JC6mVvWBcSD2rNnz22JDzdv3uQrl40z3tB1TeDG+fNemdd1HlkTEL6i0WhITU3l5z//Odu3b+fkyZOcPHnytuu9+eab0rlcCOEVU6dOBcDeaqV4/263jFm8fxf2Vmun8YUQoq+aN29ex4ZXsxl27wabl9ZibTbYtQsaGwGYOXMmc+fO9c7cwiOcTie5ubkMHz6c1atXU1FR0fGXwcGQkAA//jH87Gfw5puwdKny589+ppxPSFCu16aiooLVq1fz1FNPkZub69M9b/Pnz+84OHLEZ3F0cvSoenHBggW+i0P0ObGxsezbt48vvvhCXSPG6VQScLZvh1//GrKz4U9/gqIi5fz588qfRUXK+exs5Xrbtyvn2/7/RkREkJuby759+6RzuRCi29zXu9wPuLZ8/vZaC5OHhnht7pKrLXeMw9MqKyvJyMggLy+v0/nHIwIZOziYoWFaHgsNJEjbsZjcandytdHGlQY7JVdb1E3HRqORxYsXs2fPHrZs2SJfMgoh7ik5OZlDhw4xbdo0ampqaGhxsu1bM8mDdfzN4/2INXT/V0yV2cZ/Xmqi5FpHMkV0dDQFBQWMHTvWA9ELf+R0OikqKuLYsWOcOHGCkpISamtrsVqt6HQ6oqKiSE5OZty4cUyYMKFXfFk6Z84cVq9ejdFopOSaleTBVkZF6+5/w4f0fY1V/X8UERHB7NmzPTaXEEII4Q9cW09XNdhxOJ3d7ojgSQ6nkyqzUjTBk62nRwwMYnZSKPog99a6GB2j44nICHaXNlJ+s5WmpiZeeeUVCgsLpQKPEELVdV3A1tzMD8eOEREXR8zw4fRr/xKsG5pMJm6cP4/RpQKgrAs8etyxLnC3pIevvvqKjIwMb9wNleuagLGyksjYWMIGD/bYfA3Xrqn/h2RNQAghhOiQmZnJhg0bAPh65yekvjyPYH3oQ4/XYmnk653rOo0vhBB9mUajYfPmzSQlJVFfXw/l5UqCwpw5EOjBbWftiRDnzgEQGRnJ5s2b/f77YXFvc+bM6Vx4R6OBkSNh0iTlz4B7rHW3Fx1yOJTOC0eOKH86nRiNRhYsWMCXX35JTk6OTzZQT58+nfj4eCXB4+xZuHkTBg70ehyq2lq1Q0V8fDzp6em+i0X0SRqNhvnz5zNjxgw+//xzNm3a1JHg1NICFy8qP90UHx9PZmYmixcvlg5AQogH1qc6Q7i2nr5ktFHtpaqQVWabmlDgzdbTpaWlpKSkdEqESB6sY/mEcH7+bDiTh4YwLDyoUyIEQJBWw7DwICYPDeHt58L55YRwkgd3bMzMy8sjJSWFEpe2Q0IIcSfJyckUFxd3+tBUcs3KumMmPvsvE99caeayqZVWe+fs+1a7k8umVr650sxn/2Vi3TFTp0SI9PR0iouLZcPDI8JsNpOdnc2YMWN49tlneeedd8jNzeXUqVNUV1dTW1tLdXU1p06dIjc3l3feeYdnn32WMWPGkJ2djdls9vVduCuDwcCaNWvU4z3fN2Jp7WY7wAdkaXWw5/tG9Xjt2rXSmlsIIcQjob0gQYvdydnaVh9HozhT20pL23tgd7Wevnr1aqfjxBgdC8ca3J4I0U4fFMDCsQZGRwcB0NTUxKxZs6iurvbIfEKI3ulO6wLGykrKDx/m3NdfU3vxIrfq6nDYO3fxddjt3Kqro/biRc795S+UHz7cKRFC1gUeLe5aF6ivr+c//uM/7jjHv//7vyubdryo65rAlZMnsVl71lX1bmxWK1dcKu/LmoAQQgjRITExkbS0NACMVys4uG5Vj8Y7uG4VxqvKJq+0tDRGjx7d4xg9raGhgeLiYo4ePUpxcTENDQ2+DkkI0cu0VwDv16+fcuL0aaWSt8XimQktFti2TZkH0Ov1UiG8j+iUCJGcDL/6ldL5YdSoeydCuAoIUK7/5pvK7ZOT1b/av38/iYmJfPPNN26O/P60Wi1Lly5VDpxOyM/3egydFBSolfYzMzPRanvWWVqIu4mKimLVqlVcuHCBffv28dprrzF06NBu3Xbo0KG89tpr/PnPf+bChQusWrVKEiGEEA+lTyVDdG09ffhSk1fm/U+XebzZevpv//ZvqampASAsWMOisQbeSDIw5AGqsQPEGgJ5I8nAorEGwoKV2GtqapgyZYokRAgh7isuLo4DBw6wdetWIiIi1PMVJhv/euYWn/5XA+8dquN3f6nnw7/W87u/1PPeoTo+/a8G/vXMLTWZDJSqdVu3buXAgQPSneYR4HQ62bp1K8OGDSMrK4uysrJOfx+ggfDgAAb2CyA8OICALr9ey8rKyMrKYtiwYWzdutWnLS/vZdGiRerGoIYWJ9u/NWO1uzdWq93JthIzDS3KuNOnT2fhwoVunUMIIYTwV66tp49UNvswkg5Hr3TE4Y7W006nk5UrV6rH7R0hAru+QXKzwAANc8YYGDFQSYior69nyZIlfvu+SwjhG3dbF7DU1VFVWsr5r7+mdP9+vsvP5/vCQr7Lz6d0/37Of/01VaWlWFw2qMu6wKPlfusCaDQEhYSg69+foJAQpVqki67rAnv37sVmu3OBJJvNxr59+zx1V+7KdU3A1tzMD8ePY79LjA/LbrPxw/Hj2JqV9x+yJiCEEELcLjs7G71eD8DxPTl8vfOThxrn652fcHxPDqBszM3OznZbjO5WVlbG22+/zciRIwkPDyc1NZVJkyaRmppKeHg4I0eO5O233779PZgQQtzF5MmT2bt3b0dCRHk5rFmjJiy4TVkZfPyx2hFCr9ezd+9e6VjblxgMsGABvPFGzzsnDByojLNggTIuyjr21KlTOydeeElGRkbH+lhJifv/f3RXWZkyP8p62+LFi30Th3ikaLVaZs6cyZdffsnly5e5fv06Bw8e5De/+c1t1/3jH//IjRs3uHz5Ml9++SUzZsyQhB0hRI/0qWQIUNpptb+pKLlm5fsaz1Raavd9jVWtZu7t1tPtFRsejwhkxcQIRkXr7nOLexsVrWPFxAgej1CSKUwmE9OmTaPSpSqbEELciUajYdGiRVy+fJns7Gy1S087hxNMLQ7qmhyYWhw4uuydSkpKIjs7m8uXL7No0SJpbfkIqKys5KWXXmLx4sUYjUb1/OMRgfz06f6881wYv5sygPd+HMmq/y+S934cye+mDOCd58L46dP9iQ/vSPwzGo0sXryYl156yS9/Z2k0GrZs2UJ0dDSgdK/aUtzgtg4RllYHOUUNamJRdHQ0OTk58v9ICCHEI6O99TTA2dpWblrs97mFZ9Va7Jy9qXSocFfr6R07dqhf3Bh0Gq8kQrQLDFDmC9Up8+3fv5+dO3d6ZW4hRO9xv3UBnE5am5uxWiy0NjerVenaybrAo+du6wL6AQOITUriqR//mKQZM/jRtGmMevFFfjRtGkkzZvDUj39MbFIS+gED1Nu0rwv8wz/8wz3n/Oqrrzx1d+6q65qApa6Oi0ePuq1DhM1q5eLRo1jq6gBZExBCCCHuJiEhgU8+6UiAOPDJr/jXf36bFkvjPW7VocXSyL/+89sc+ORX6rl169aRkJDg9lh76sKFC0ybNo2kpCQ2bNhAeXn5Ha9XXl7Ohg0bSEpKYtq0aVy8eNHLkQoheqP2DeaRkZHKCbMZvvgC/vAHuHmzZ4PX1irj5OZCo/L6HBkZSUFBAS+++GLPxhb+Y8QIWLkS3N1ZafRoZdwRIwCl0/Err7zi9Q4RUVFRrFu3ruPEV195roPK3Vgsyrxt1q9fL5X2hU/ExMSQnp7Oz3/+89v+7ic/+Ym6XiaEEO7Q55Ihurae3vN9o9s2G3ZlaXWw5/uOBRJftJ5+PCKQjJQw9EHu+afUBwWQkRKmJkTU1NSQkZEhVR+FEN1iMBjIzMzk1KlTnDhxgs8++4wFCxYwZswYYmNjiYqKIjY2ljFjxrBgwQI+++wzTpw4wcmTJ8nMzPT6a6jwjdLSUlJSUsjLy1PPJQ/WsXxCOD9/NpzJQ0MYFh5EkLbzF/dBWg3DwoOYPDSEt58L55cTwkke3JEImJeXR0pKil92NYqLiyM/P5/w8HBASYhYe9TY46TN72usrD1qVBMhwsPDyc/PlwqqQgghHimuraedQP4FL3+x0EXBBQvtn6Dd0Xq6traWZcuWqcevjgp12xpAd+mDAnh1VKh6vGzZMmpra70agxCid5B1AdEdd1oXiIiLY8QLL/DU888TlZCAPjKSgC6/QwO0WvSRkUQlJPDU888z4oUXiHD5/NveRflu8vPzMZvN7r0z3dB1TcBSV8fZQ4douH69R+M2XLvG2UOH1ESIsLAwWRMQQggh7mHJkiX89re/VY+P78lh3evJHPnjBprNpjveptls4sgfN7Du9WS1IwTABx98QEZGhsdjflA5OTmMGTOGgoIC9Zw2SEfc6HGM++lCJr/xC8b9dCFxo8ehDer4fqWgoICkpCS2bNnii7CFEL3M5MmTKS0tZcaMGR0nS0rg97+HrVvhu+/A0c19Wg6Hcv2tW+Gjj9RK9gAzZsygrKxMOkL0YlevXu18IjERFi6Etm5NbqfXK+O3JVo0NTUxa9YsqqurPTPfXcybN6/j/4fZDLt3g5u7RN6VzQa7dqkJRTNnzmTu3LnemVsIIYTwocD7X6X3WbRoEXv27CEvL4+GFifbvzWTkRKGTuu+akhWu5NtJWYaWpQtDr5oPR0WrGHhWINb7xeATquMu/aokYYWJ3l5eWzfvp1Fixa5dR4hRN+l0WhITU0lNTXV16EIP/S3f/u3anejsGANr40KfajuRrGGQN5IMpA82Mqe7xtpaHFSU1PDlClTOHToEMnJye4OvUeSk5M5dOgQ06ZNo6amhoYWJ9u+NZM8WMffPN6PWEP335ZVmW3856UmtTsVKFUmCgsLGTt2rAeiF0IIIfxbRkYGH330EUajkZJrVp4ZZGV0TM+6Jz6Mshudu0e6o/X0li1bMJmUTRnJg3U+uV8AiTE6kgfrKLlmxWg08vnnn7Nq1SqfxCKE8H+yLiDuxXVdIDAkhKFjxxI2aNADj9MvPJz41FQiY2OpKC7G0dp6z+u3tLSwf/9+fvaznz1U3D3RdU3A1tzMD8eOEREXR8zw4fRrS5TojiaTiRvnz2Ps0h3z//7f/+t3ayFCCCGEv3n//fcZNGgQy5cvx2KxYLxawb6PlnPgk18x+KkkHhsxBl2/UKxNjVwtP8W1c6XYWzvW4fV6PevWrfPLRIgPPviAX//61+pxxGPxPD93OSkzZhNiuP29RrPZRPH+3Xy98xOMVyuwWCwsWbKE69ev895773kzdCFELxQbG8u+ffvYsWMHy5YtU9YvnU44c0b5CQ6G2NiOn/79ITBQ2ah96xZUVXX8tLR0GjsiIoL169czd+5c6XrXizmdTlauXNlxYsQImD1beR54UmAgzJkD27dDeTn19fUsWbKEffv2ee35pNFo2Lx5M0lJSdTX10N5uZKgMGeOZ+9/eyLEuXOA0lll8+bN8v9ICCHEI6HPdYaA21tPXzLa2FLc4LYOEZZWBzlFDWoVZl+1nn7Ng9Ug9UEBvOZS9XHFihU+qZolhBCi72nf8PB4RCArJkY8VCKEq1HROlZMjFC7GplMJqZNm0Zll00B/iA5OZni4mLS09PVcyXXrKw7ZuKz/zLxzZVmLptaabV37sjUandy2dTKN1ea+ey/TKw7ZuqUCAHwb//2/7N353FRnuf++D+zw8jMAAKyiqKRGEEFbNV4sthGxSVJe2LOaeNuXSjHHmM1rcdvk9M2bdNj9Gh+Ma5Rg9Wc9gTT5hgVNK0mVsVUBhXcCKgoKLLOMDAwwyy/P0aGYZVlNuDzfr18Zebhee77YqKzXHNf9/UFCyGIiGjAat16+rALu0R2RN9owWGH7pHOaD1tNpuxc+dOAIAAwIwRLtoxq4umj5CjKfOxc+dOmM1mj8ZDRER9U1NeQB4YiNipU3tUCOFIGRoKv8DALp17+PDhXs3VG+3lBDTFxcg/fRrfnDmDilu3UFdVBUur11eL2Yy6qipU3LqFb776CvmnT7cphACA+Ph4l/8ORERE/cGKFSuQm5uL6dOn24+ZG40ouZaNi3/Zj3P/8z4u/mU/Sq5ltyiEmD59OnJzc72yEGL37t0tCiEmzl2B1z/JwdM/SG23EAIAfBQqPP2DVLz+SQ4mzl1hP/7mm29i9+7d7V5DRORIIBBg0aJFKCgowDvvvIPo6OjmHxoMwK1bwJkzwB//aOv8sGuX7b9//KPt+K1bLQohoqOj8c477+Cbb77BwoULuYC7jztw4ABOnjxpu6NQuKcQoolYbJvPz7bu7ejRo/jDH/7gnrkfaSoY8vX1tR24etVWoKF3UWdrvR7Yt882D2wFnEeOHEF4eLhr5iMiIvIy/bIYAmjbevqOxoTN5zW4Xm58zJWdu15uxObzGnshhEql8kjr6YRQaa8Xjz7O6GDbro8AoNFocOjQIZfOR0REA8cwfzGWJyqdVtQnlwixPFFpL4goLy/H8uXLYbVaH3Ol+0VGRuLYsWPYu3cv/P397ceLtCb85UYd3v+6Br84VYXffFWNd/5ejd98VY1fnKrC+1/X4C836uzvQVpjIoOIiAY6x9bTOqMVh3JrYbK4572AyWLFwSu1qDXa5nNW6+njx4/j7t27AIDYIAkGy0W9HrM3guQixA6WAACKioqQkZHh0XiIiKjvkgcGImbyZIilvc9xW0wm1FZUdOncY8eOQe+qhQdd0FFOQF9VhZLcXBScOYPco0dxLTMT10+exLXMTOQePYqCM2dQkpsLfXW1x2InIiLqT2JiYpCZmYnc3FysWrUKsbGxbRbdCgQCxMbGYtWqVcjLy0NmZiZiYmI8FHHHCgsLsWbNGvv9WT/diO9t2AaZ3K+Tq5rJ5H743oZtmLXmv+zH1qxZg1u3bjk9ViLqn4KCgrB+/XoUFhbiyJEjmDt3LqKiorp0bVRUFObOnYvPP/8chYWFWL9+fa83mCHPq6iowOrVq5sPvPIKIHfzRj9yuW3eR1avXo2KLuYOnGXKlCn47LPPmgsi8vOBTZvsBQtOk5cHvPuuvSOEXC7HZ599hilTpjh3HiIiIi/Wb4shgObW000dImoMVuy7pMPHuTqU6NpfSNiREp0JH+fqsO+SDjUG2+KG4OBgnD592i2tp1sv5nx+mK/L5wSA5xzm2b59u1cuKiUior5FKRNgyXgFpCLn7uYhFdnGVcps42ZkZGD//v1OncNZBAIBli5dirt372LHjh2Ii4tr8XOLFdAaLKiqt0BrsKD1Os7Ro0e7MVoiIqK+oan1dEBAAAAgv7IRB6/oXF4QYSuE0OGbqkYAzm09nZaWZr/9dKRPr8dzhslRzXF89NFHnguEiIj6LLGPD4ZPnAiRk3aErCkra9NNAQCE7Yyv1+uRmZnplHl76nE5AVitaGxogFGvR2NDA9AqJx8fH4+NGze6MWIiIqL+Ky4uDu+//z5u3LgBjUYDtVqNc+fOQa1WQ6vV4saNG3j//fcxZswYT4faodTUVHux58S5K/DM/Nd7NM4zC9bYO0To9Xr8+Mc/dlaIRDRAiEQizJkzB5988gnu3r2Lhw8f4vjx43j33Xfxy1/+Ev/xH/+BX/7yl3j33Xdx/PhxlJWV4e7du/jkk08we/ZsiESe3QiGnGfPnj3QarW2OwkJgKdeR+PibPPDtgnwhx9+6PYQpk2bhpMnT9q/t4BOB3z0EfDxx0BlZe8Gr6iwjZOWBtTaulYHBATgxIkTeOGFF3o3NhERUR/jpv5TntPUenr58uX2HQtzSo3IKTUiWiVGQpgMUUoRwvzEkDgsymw0W/Gg1oR7NWbkPDC02YU5OTkZe/bscVtHiMuXL9tvD/MXI1zhnv91EQoxolViFGlNyM3NhVqtRlJSklvmJiKi/mnuaD+ndYRoTS4RYu5oP+y7pAMArF27Fq+++ioUCoVL5usthUKBlJQUrFy5Emq1GllZWbh48SLUajUqKythMBggk8kwePBgJCYmYsKECZg0aRKioqIwZMgQT4dPRETkdZpaT0+bNg319fW4Wt6I/Zd0mBfvmvcf+kYLDl6ptRdCOLv1dFZWFgBAJhIgNkjilDF768kgCWQiAQxmKy5cuODpcIiIqA+KGj/eKR0hmmjv32/3ePiYMSh2yKs3SU9Px/e//32nzd9TPc0JJCYmoqKiAj/72c88/SsQERH1K0ql0i2bIDrTtWvXcOLECQCAf1g0Zr7++16NN/P13+Pm2UxoHhThxIkTyMvLa1u4SUTURSEhIUhOTkZycrKnQyE3MpvN2Llzp+2OQADMmOHZgKZPBy5dAqxW7Ny5E2+88YbbC2+mTJmC3NxcrFy5EkePHrUdzMmxxRUbC0yeDDz5JCDswncYFgtw4wZw/jxw82aLDRSmTZuGjz76yGnfTxAREfUl/b4YAmhuPb1//36sXbsWGo0GAFCkNdmLHIQCQCEVQiQEzBZAZ2y7CzMA+Pv7Y/PmzViyZIlTdnnsquzsbPvt8aEyt80LAAlhMvvjlJWVxWIIIiLqsYRQKUYHO2/BQ3tGB0uRECpFTqkRGo0Ghw4dQkpKikvn7C2BQICkpKQuv8aWl5e7OCIiIqK+q6n19Msvv4z6+nrkVzZi0zkNXhnthzEhznsfkldmxOHrtag12pIHzm49XVZWhuLiYgBAhFIEoRtzEJ0RCgSIUIhwS2PCvXv3UF5ebu/ISURE9Dj+kZFQOrG432I2o+bhwzbHpXI5AqOj8TA/H4319S1+9vnnn9sLDbxBd3MCRERERE0OHDhgv/3MgjWQyf16NZ5M7odnFryOIxvXAAB27dqF999/v1djEhHRwHL8+HHcvXvXdic2Fhg82LMBBQXZ4rhxA0VFRcjIyMDs2bPdHkbTRk4HDhzA6tWrbZ0zrFZbYcONG4BMBkRENP8ZNAgQiwGTCairA0pKmv8YDO3OcfDgQYSEhLj5NyMiIvIOrtmW2Qs9rvW0xQpoDRZU1VugNbQthIiPj8eOHTtw9+5dLF261K2FEABw6dIl++0opXsrVB3nu3jxolvnJiKivs1qbfmC+vwwX7fM+5zDPNu3b28TBxEREfVvrVtP64xWfHRZh49zdajUm3s1doXejI9zdUi7rLMXQrii9bTjpgiRbuoO2VURyuZ4HOMkIiJqrfXn8ZCRI506fm15OSwmU5vjqrAwCAQC+LezG2JNTQ2++OILp8ZBRERE5AlffvklAEAkkSJx9jynjJk4ez5EEttmEidPnnTKmERENHCkpaU133n6ac8F4mjyZPvNjz76yGNhCAQCLFq0CAUFBXjnnXcQHR3d/EODAbh1CzhzBvjjH4G9e4Fdu2z//eMfbcdv3eqwEKJpfCIiooFqwBRDNGlqPX3lyhVcvHgR27Ztw+LFizF27FhEREQgKCgIERERGDt2LBYvXoxt27bh4sWLuHz5MlJSUqBQKDwSd25uLgBbB4swP/cuggjzE0P46P2SWq1269xERNS3Xb582X57mL8Y4W5ayBehECNaZZsrNzeXr19EREQDUFPracddnnJKjfivsxrsVdfgWrkRli4WTFqsVlwrN2KvugYbz2qQU2q0/2z27NnIy8tzWkeIJlevXrXfDld6bzFEXl6eByMhIiJv55gXkAcGwlelcur4mvv32z2uelQEoWqnGAIADh8+7NQ4iIiIiDyhsLAQABA2aix8FM55n+WjUCH0iXgAQH5+PnQ6nVPGJSKigSErK8t2QyazdWTwBk8+aYsHwIULFzwcDBAUFIT169ejsLAQR44cwdy5cxEVFdWla6OiojB37lwcOnTIxVESERH1Ld71bbob9bXW01VVVQAAhVQIici9lZwSkQAKqRBagwWVlZVunZuIiPo2x52Cx4fK3Dp3QpgMRVrb7pBZWVl95jWfiIiInKe91tNWADcqG3GjshEykQARChEilGJEKMUYJBFALBTAZLGirtGKkhqT7Y/ODIO5ZeGEv78/3nvvPSxYsMAlOy7V1tbabw+SeNeOTo7x1NXVeTASIiLydo55gYCICKeObbVYUFNa2ua42McH8kfdoeQBARD7+MDU0NDinM8++wyNjY2QSCROjYmIiIjIE5qKF5wlbNRYlFzLhtVqRUFBARISEpw6PhER9U9lZWUoLi623YmIAIReskezUGiL59Yt3Lt3D+Xl5QgODvZ0VBCJRJgzZw7mzJkDwPb4qdVq5OXloa6uDgaDATKZDIMGDUJcXBySkpLscZeXl3sydCIiIq8zYIsh+prGxkYAgNhD7xNFj+Y1dNJui4iIqLVLly7Zb0cpRW6d23G+ixcvunVuIiIi8h5Nradnz56NDz/8EDt37kRRUREAwGC24pbGhFsaU5fHi46ORkpKCpYtW4agoCBXhQ2jsbn7hFjoXcUQjvEwT0BERJ1xzAs0FSg4S21FBcyP8uaOVGFh9kJFgUAAVVgYKm/fbnFOVVUVTp8+jWnTpjk1JiIiIiJPkMkVTh1P6utnv93QqqiUiIioI44bIiAy0nOBtOdRMQRgizM5OdnDAbUVEhKC5ORkr4yNiIjI23lJCSY9TtMOVSaLZ+Y3P5pXJnPvrt5ERNS35ebmAgCEAiDMz701mGF+YjSt01Or1W6dm4iIiLyPM1pPf/755ygsLMT69etdWggBAFKp1H7bZLF2cqb7OcbDPAEREXWmKS8AgQA+SqVTx9bcv9/ucf/w8E7vNzl8+LBT4yEiIiLyFINe59TxjPXN3Sp9fHycOjYREfVfV69ebb7TwWdxj3HoVpmXl+fBQIiIiMgV2BmijwgMDERpaSl0RgsazVZIRO7bFbLRbIXOaKuGGDx4sNvmJSKivq+qqgoAoJAK3fraBQASkQAKqRBagwWVlZVunZuIiIi8V29aT7uTn1/zLox1jd5VDOEYz6BBgzwYCRERebumvIBEJoNQ5LyOkVarFTWlpW2Oi2UyDGqVwx40eDDEUilMDl2XAODPf/4zPvjgA4icGBcRERGRJ5R+k+vU8R7kXwFg67I1cuRIp45NRET9V21tczEdvC1v7BBPXV2dBwMhIiIiV2AxRB8RHx+Pa9euwWIFHtSaMFQlcdvcD2pNaNr0MTEx0W3zEhFR39fY2AgAEHuoF5Xo0bwGg8EzARAREZHX89bW02PGjLHfvl9jQlKY93RgKKkx2W/HxcV5MBIiIvJ2TXkBgZMLDuoqK2Fq57O+MjQUAkHLzRgEAgGUYWGoKipqcbysrAxnz57Fs88+69TYiIiIiNxlxIgRKCwsxIP8K2jQaeGjUPV6zAad1l5cMWrUKCgUil6PSUREA4PRcRMCsZctSXSIh2sHiIiI+h8PLU2k7ho/frz99r0as1vndpxvwoQJbp2biIj6NonEVrxnsnhmfvOjeWUy71k8SERERNQVSUlJ9tvFOlMnZ7qfYzGEY5xEREStNeUFrGbn5rS19++3e9w/PLzd46oOjh8+fNhpMRERERG523PPPQcAMDcaoT56yCljqo8ehLnRtph12rRpThmTiIgGBqlU2nzH5F05bcd4uHaAiIio/2ExRB/huLjgUql7K1RzHjTPN2nSJLfOTUREfVtgYCAAQGe0oNFsdevcjWYrdEZbNcTgwYPdOjcRERFRb4WEhCAyMhIAUFJjhsXq3vdSHbFYrSjR2Ra0RkVFITg42MMRERGRN2vKCzQaDLA4qSDCarVC8+BBm+MiiQR+QUHtXuMXFASRpG235cOHD8Ni8dAODkRERES9tGjRIvvtM3/YAoO+tlfjGfS1OPOHrfb7KSkpvRqPiIgGFj8/v+Y7dXWeC6Q9DvEMGjTIg4EQERGRK7AYoo8YN26c/fYdjQn33bQrZInOhCKtba74+HgkJia6ZV7yPlarFRcvXsS2bduwePFijBs3DhEREQgODkZERATGjRuHxYsXY9u2bbh48SKsXrJQh4g8Kz4+HgBgsQIPat27+8ODWhMsj56K+PpFREREfVHThgQGsxU3Kxo9HI3NjYpGGB4VuU6cONHD0ZA7dScvcOnSJU+HS0ReoikvAKsVDTU1ThlTX10NU0NDm+PK0FAIhO1/5SEUCqEMDW1zvKSkBF9//bVT4iIiIiJyt9GjR2P69OkAAM2DIhzfur5X4x3fuh6aB0UAgOnTp2PMmDG9jpGIiAaOFq8bHXR09JiSEvvNuLg4DwZCREREriD2dADUNQKBoMX903fq8Vq8wuXzfnmn3n47NTW1TRzU/+l0Ohw8eBDbt29HXl5eh+fdv38fV65cQVpaGgBb8o2IaPz48fjTn/4EALhXY8ZQVdtdGF3lXk3zjpMTJkxw27xEREREzrJo0SKkp6cDAM4VN2B0sPQxV7je+XvNi08XL17suUDIbXqaFyAiAlrmBfTV1ZAHBPR6TG0HCyr8w8M7vU4VHo7qe/faHD98+DA7IhMREVGftWPHDsTHx0Ov1+NC+m4MjhqBZxas6fY4Z/6wBRfSdwMA5HI5duzY4exQiYion0tKSmq+U1zsuUDa41AM0SJOIiIi6hfYGaKPyik14nq50aVzXC83IqfUNoe/vz/mzZvn0vnIu1itVuzduxdDhw5FampqmwUPQgGgkgkx2FcIlUwIYas6mevXr7sxWiLyVo6JhEulBrfOnfOgeT4uaiAiIqK+aObMmYiOjgYA3KxoRKXe/JgrXKtCb8bNSluHiujoaCQnJ3s0HnKtx+UFIBBA4uMD6aBBkPj4AI/ZQIMdJIkGJse8QLXDwoOeslqt0D540Oa4UCyGX3Bwp9cqgoMhFInaHD98+DCfo4iIiKjPiomJwZYtW+z3j235Of7yu1Uw6Gu7dL1BX4u//G4Vjm35uf3Y1q1bERMT4/RYiYiofwsJCUFkZKTtTkkJYLF4NqAmFou9GCIqKgrBj8kfEBERUd/DzhB9WPr1Wqz194dc4vyaFn2jBenXmxMkmzdvhkLh+k4U5B2Ki4uxfPlyZGRktDg+zF+M8aEyRClFCPMTQyJqXujQaLbiQa0J92rMyHlgQJHW1Gbc+/fv80MF0QAzbtw4++07GhPu60wIV7j+7UeJzmR/HoqPj0diYqLL5yQiIiJyNpFIhJUrV2LDhg2wAsgs1LulS2RHThTq0bRUNCUlBaJ2FpRS/9BRXkAeGIiAiAjIAwLgo1S2WFRsMZvRUFMDfXU1qktKoK+qanHtD3/4Q6SlpTV/IUpEA4JjXkBfVYV6rRa+KlWPx6vXamHU69scVw4Z0m6hgyOhSARlaCg0rYoybt++jUuXLiEhIaHHcRERERF50ooVK/Dw4UO89dZbAIAL6btx82wmnlnwOhJnz4ePou37rwadFuqjB3HmD1uheVBkP/72229j+fLlboudiIj6l0mTJtm6HRsMwM2bwOjRng4JuHHDFg+AiRMnejgYIiIicgUWQ/RhNQYr9l/SYXmiElJR57vvdYfRbMW+HB1qDLYlDjNnzsSSJUucNj55t5ycHMyYMQPl5eX2YwmhUjw/zLfTBcwSkQBDVRIMVUkwJcoHJToTvrxTb+8uAgAvvPACTpw4wS8WiQYQQavdYU/fqXfLAr4v79Tbb6empraJg4iIiKivWL58OTZu3AiNRoOcUiPGDTFiTIjU7XHklbXsHrls2TK3x0Du0V5ewD8yEiEjR3a6gFkoEkEeEAB5QACCYmJQr9WirKAAmuJiAMDf/vY3JCYmIjMzk3kBogGk9efxsoICRDt0i+gu7f377R5XhYd36XpVeHibYggASE9P53MTERER9WlvvvkmhgwZgjVr1kCv10PzoAhHNq7BsS0/R+gT8QgbNRZSXz8Y62vxIP8KSr/Jhbmx+XtcuVyOrVu3shCCuqympgYFBQUwGAyQyWQYOXIklEqlp8MiIg9btGiRrRgCAM6d845iiPPn7TcXL17suTiIiIjIZZzfUoDc6o7GhD3qGugbndNaTN9owe7sGvtu2sHBwdi9ezcXkQ4QarUaU6dOtS94UMoEWDpegdfiFd3eyT1CIcZr8QosHa+AUmb7+1NRUYGpU6ciJyfH6bETUd+QU2rE9XLj40/shevlLRfqzZs3z6XzEREREblSUFAQtm7dar9/+Hqt03IAXaVvtOCwQ/fI9957D0FBQW6NgdyjdV5A7OOD4ZMmITopqds7ufuqVIhOSsLwiRMh9vEBAJSXlzMvQDTAaYqLUVNa2qNrrVZru8UQApEIipCQLo2hCAmBoJ0OEocPH4bVam3nCiIiIqK+Y8WKFcjNzcX06dPtx8yNRpRcy8bFv+zHuf95Hxf/sh8l17JbFEJMnz4dubm5LISgx8rLy8OqVasQGxsLlUqFpKQkPP3000hKSoJKpUJsbCxWrVqF69evezpUIvKQmTNnIjo62nbn5k2gstKzAVVU2OIAEB0djeTkZM/GQ0RERC7BzhB9mFKpRE1NDe5oTNh8XoO5o/0wOrjnu0NeLzci/XqtvSOESqVCZmYmIiMjnRUyebHi4mIkJydDq9UCAIb5i7FkvAJySe9qpkYHS7HW3x/7L+lwR2OCVqvFjBkzoFar+XeLqBesViuys7ORlZWFixcvIicnBxUVFTAajZBKpQgKCkJCQgImTJiASZMmISkpyWsK29Kv12Ktv3+vn1/ao2+0IN1hod7mzZuhULi+EwURERGRKy1cuBCHDh3CyZMnoTNacSi3FkvGKyAWuv79nclixcErtag12nIFc+bMwYIFC1w+L7lf67yAPDDQVsgg7V0nEmVoKGIDA3H7wgXoq6qYFyBykr6cF7h3+TJiAwO7/fzSoNPBUFfX5rgyJAQicde+6hCJxVCGhED74EGL4zdv3sS1a9cwZsyYbsVERERE5G1iYmKQmZmJvLw87Nq1CydPnkR+fn6Lwk+BQIBRo0Zh2rRpSElJ4XsgeqzCwkKkpqbixIkTnZ6Xn5+P/Px8fPDBB26KjGjg8ta8gEgkwsqVK7FhwwbAagUyM4HXXnP5vB06ccIWB4CUlBSI2tkggYiIiPo+FkP0YX/+85/xgx/8AOXl5agxWLHvkg4JoVI8N8wXEd3Yxb9EZ8KXd+rtu2gDto4QJ06cwPjx410QOXkbq9WKZcuW2Xd+HOYvxvJEJaQi53wQkkuEWJ6oxB61rXinvLwcy5cvx7Fjx7zmS1iivkKn0+HgwYPYvn078vLyOjzv/v37uHLlCtLS0gAAcXFxSE1Nxfz58z1eHFBjsGL/JZ1Tn2cAwGi2Yl+Ozl7UN3PmTCxZssRp4xMRERF5ikAgwKZNmzBu3DgAQH5lIw5e0WH+WNcWRNgKIXT4pqoRABAQEIBdu3bxc1w/1DovIA8MRMzkyV1eXPw4YqkUMZMn49b589BXVTEvQNQLnswLmM1m/O53v8Pnn3+O6urqLl/TmqmhAdcyMyHx9e3W/BaTqd3jqvDwbo2jCg9vUwwBAN/97nehVCq7NZYzBAQEYM6cOdiwYQMXZRAREZHTxMXF4f333wcA1NTUoLCwEA0NDfDx8cHIkSM9/l0R9R27d+/GmjVroNfr7cdEEinCRo1F6BPxkMkVMOh1KP0mFw/yr7ToOkJEztcX1gssX74cGzduhEajAXJygHHjAE8U3uXl2eYH4O/vj2XLlrk/BiIiInILFkP0YfHx8VCr1Vi+fDkyMjIAADmlRuSUGhGtEiMhTIYopQhhfmJIHBabNpqteFBrwr0aM3IeGFCkbfklUnJyMvbs2cPd+QaQffv2ITMzEwCglAmwZLzCqQuUAUAqso27+bwGNQYrMjIysH//fixdutSp8xD1V1arFfv27cO6detsSYNWhAJAIRVCLARMFkBntMDSvMkP8vLykJqaig0bNmDTpk1YunSpRxcd3dGYsEdd45QONICtI8S+HJ39NS04OBi7d+/mwioiIiLqN8LCwlrcv1reiP2XdJgX7+eyjlsHr9TaCyHkcjmOHDmC8G4uOKW+wTEvIPbxwfCJE51WCNFEJBZj+MSJuHnqFEwNDcwLEHXT4/ICEAggkckgEIlgNZvRaDDYdz4EnJMXWLNmjX1BXW9ZLRYY2+ny0F0CoRDKIUO6dY1yyBAIhEJYLZYWxx8+fIiHDx/2Oqae+Prrr1FRUYH33nvPI/MTERFR/6ZUKpGQkODpMKgPevvtt/HWW2/Z7/uHReOZBWuQOHsefBSqNuc36LRQHz2EM3/YAs2DIneGStTvPS4vIBAJIQmQQygRwdJoRmO1HlZz8+ded64XCAoKwtatW7F48WLbgcOHgeHDAbncJfO1S6+3zfvIe++9h6CgIPfNT0RERG7FYog+LjIyEseOHcP+/fuxdu1a+xveIq3JviC0aYGsSAiY21kg28Tf3x+bN2/GkiVLuHh0ANHpdFi3bp39/tzRrllIA9g6RMwd7Yd9l3QAgLVr1+LVV1/lziNEj1FcXNyi8K3JMH8xxod2r/BNo9Fg2bJlSE9P91jhm1KpRE2NrVPM5vMazB3th9HB0h6Pd73ciPTrtfaOECqVCsePHIH04UOYgoIg9vFxVui9VlZWhuzsbFy9ehW1tbX2NqV+fn4YM2YMkpKSEBIS4ukwiYiIqI/Ir2zEpnMavDLaD2NCev5+qrW8MiMOX69FrdH2/koul+Ozzz7DlClTnDYHeY/WeYGo8eMhljrv75MjsVSKqHHjcPvCBQDMCxB1VUd5AXlgIAIiIiAPCICPUgmhQ1cBi9mMhpoa6KurUV1SAn1VFYCe5wXMZrN9N0lvoggOhkgi6dY1IokEfsHB0Hmo8KEjaWlp2LJlC4RC1+RmiYiIiIi6Y/fu3S0KISbOXYGZr/8eMrlfh9f4KFR4+gepSHppIY5vXY8L6bvtPztw4ADWrl3r0piJ+quO8gLK0eEIei4WiidCMWhYEITS5mWAFqMJdXcqoPumFOVf3oDuuq1DorvWCyxcuBCHDh3CyZMnAZ0OOHQIWLIEcPIGLO0ymSA5eBDDzWbcFggwY/ZsLFiwwPXzPgbXChAREbkOiyH6AYFAgKVLl+LVV1/FoUOH8MEHH7RohWaxAlqDpcPr4+PjkZqainnz5vHL5wHo4MGD9iKahFBprxYkd8XoYCkSQqXIKTVCo9Hg0KFDSElJcemcRH1ZTk4OZsyYgfLycvuxhFApnh/mi3BFxy/jEpEAQ1USDFVJMCXKByU6E768U4+cUltr2oyMDCQmJiIzM9PtuwH9+c9/xg9+8AOUl5ejxmDFvks6JIRK8dwwX0R08ju11vp3AmwdIU6cOAHthx/ii1OnEPmd7+BZJ+1a2RNmsxnHjh3DgQMHkJWVheLi4sdeExkZiUmTJmHRokWYOXMmRA6LWYiIiIha0xmt+Oiy7f3UjBFyDJb3/L1Dhd6ME4X6Fu+vAgICcOTIERZC9GOOeQH/yMhu77DeXcrQUPhHRkJTXMy8AFEXtJcX8I+MRMjIkfBVtd2JtYlQJII8IADygAAExcSgXqtFWUEBNI8+l3Y3LyASieDr64uampre/1JOpOphxyL/8HCvK4bw9fVlIQQREREReYXCwkKsWbPGfn/WTzfimfmvd/l6mdwP39uwDYOjRuDYlp8DAN566y18//vfR0xMjLPDJerX2ssLBD/3JCJemQC/4cEdXieUiqEYFQrFqFCEzx6P2ltlKPk0G+Vf3gDg+vUCAoEAmzZtwrhx42wH8vOBgweB+fNdWxBhMgEHD+InDQ1IGj4clxsasHrXLo9sCsy1AkRERO7DzHo/olAokJKSgitXruDixYvYtm0bFi9ejLFjxyIiIgJBQUGIiIjA2LFjsXjxYmzbtg0XL17E5cuXkZKSwkKIAchqtWL79u32+88P83XLvM85zLN9+3ZYre20KiEiqNVqTJ061Z7YUMoEWDpegdfiFZ0WQrQnQiHGa/EKLB2vgFJm+6BfXl6OqVOnIicnx+mxdyY+Ph5qtRrJycn2YzmlRmzN0mLb11qcvdeAu9pGNJpbPjc0mq24q23E2XsN2Pa1FluztC0W6iUnJ0OtVmNUaChKTp0CABT/7W/Qe2BxQ0VFBd555x2MGDECL730EtLT07uU3ABsO3ukp6fjxRdfxIgRI/DOO++goqLCxRETERFRXzRt2jT77ZxSI/7rrAZ71TW4Vm6EpYufsyxWK66VG7FXXYONZzUt3l/Nnj0beXl5LITox1rnBUJGjnTLvI7zMC9A1LHWeQGxjw+GT5qE6KSkTgsh2uOrUiE6KQnDJ060d1Dsbl7gpz/9afd+ARfzUSjg38MdLP0jIyHzsny442IzIiIiIiJPSk1NhV6vB2DrCNGdQghHzyxYg4lzVwAA9Ho9fvzjHzsrRKIBoXVeQBo4CE/95/cQu25mp4UQ7fGLCUHsupl46q2XIQ0cBMD16wXCwsJaHrh6Fdi/H3j0/OJ0ej2wbx8Cb95E0qPP/ON8fODv5oICrhUgIiJyP3aG6IcEAgGSkpKQlJTk6VDIy2VnZ9u7iAzzF3d7cXVPRSjEiFaJUaQ1ITc3F2q1mn9fiVopLi5GcnIytFotANu/0SXjFZBLelfHODpYirX+/th/SYc7GhO0Wi1mzJgBtVrtshaY7YmMjMSxY8ewf/9+rF271r4TbZHWhCKtCQAgFAAKqRAiIWC2ADqjBZZ21kj5+/tj8+bNWLJkCQQCAW4eOtTi5/e++AKx8+a5+lcCYFtMduDAAaxevdr+/66JyFeKQSNC4DcyBH4xIZAofSGQiGBtNKOxph61t8pQW1CGusIymOttixCLioqwYcMGbNy4EVu3bsXChQs9smsFEREReaeDBw/i+PHj9vceVgA3Khtxo7IRMpEAEQoRIpRiRCjFGCQRQCwUwGSxoq7RipIak+2PzgxDqyJUf39/vPfee1iwYAHfe/RzjnkBeWBgtxdX95SvSgV5YCD0VVXMCxB1oHVeQB4YaCtkkPauq6syNBSxgYG4feEC9FVV3coLvPHGG7BYLPjFL34Bs9nc6bmyQYMg9fPrVawdEQgE8FEqETJyZI87KQiFQjzxzDMoKyhAQ02Ny4qyDLW1MNbVdXqOWCzGb37zG7zxxhsuiYGIiIiIqDtyc3Nx4sQJAIB/WDRmvv77Xo038/Xf4+bZTGgeFOHEiRPIy8tDXFycM0Il6tda5wWUo8Mx+s2XIVH49GrcwG/FIGHbQlx/+zPUXL/v/vUC+fnApk3AK68AY8Y4b9y8PODwYaC2FhMCAlr8yF3rBTpbKwCZDIiIACIjgfBwYNAgW4cMkwmoqwPu3weKi4GSEsBgAMC1AkRERN3BYgiiASwrK8t+e3yozK1zJ4TJ7Aues7KyuOiByIHVasWyZcvsOzwM8xdjeaISUpFzPtjKJUIsT1Rij7oGdzQmlJeXY/ny5Th27JhbPzwLBAIsXboUr776Kg4dOoQPPvjAvhALACxWQGuwdHh9fHw8UlNTMW/evBbdje6dPNnivHsnT7oluVFSUoKVK1fi6NGjzQcFQEDScITNGouAxGEQiDpepBEydTQAwGq2oFp9Bw+OXUF19m3ACmg0GixevBiffPIJdu/eDYlE4upfh4iIiPoAgUCARYsWYfbs2fjwww+xc+dOFBUVAQAMZituaUy4pTF1ebzo6GikpKRg2bJlCAoKclXY5EUc8wIBERFunTsgIgL6qip7HMwLEDVrnReQBwYiZvJkiMTOSeeLpVLETJ6MW+fPQ19V1eW8gEAgwPr16/H888/jtddew+3btzs811hfj6ARIzB42DCv/aJeJJEgbPRol4xttVpReecO7j/6f9gRoVAIf39/fPzxx7h+/TomTJiASZMmISkpyWsfNyIiIiLq33bt2mW//cyCNZDJe1fkLJP74ZkFr+PIxjX28d9///1ejUnU37XOCyhHh2PMr/8ZIh/nfEcsUfhgzK//GVff+hQ11++7f72ATgd89BGQkADMmAEMHtzzsSoqgBMnAIfuFk8HBrY4xR3rBdpfKyAAYmOBp5+2/bezDR2acqMWC3DzJnDunO2/VmubtQLh4eEu/V2IiIj6IhZDEA1gFy9etN+OUrq3LZzjfI5xEBGwb98+ZGZmAgCUMgGWjFc4rRCiiVRkG3fzeQ1qDFZkZGRg//79WLp0qVPn6QqFQoGUlBSsXLkSarUaWVlZuHjxItRqNSorK2EwGCCTyTB48GAkJibaFwYkJia2ScY0VFaiPDu7xbHy7Gw0VFXBp1XSw5nOnj2LF198EdXV1fZjwc8/ieh5k+ET6t+tsQQiIQK/FYPAb8WgoVSDokPnUX76BgDg6NGjiIuLw4EDB5wZPhEREfVxQUFBWL9+Pd544w0cP34caWlpuHDhAu7du/fYa6OiojBx4kQsXrwYycnJELm5ZTh5luPncXmrHdNczdffv904iKhlXkDs44PhEyc6rRCiiUgsxvCJE3Hz1CmYGhq6lReYNGkScnJy8OMf/xj/8z//0+45VosFJVeuoLa8HJHjx/e6o0VfYjIaUXzpErQPHjz2XIvFgoqKClRUVODKlStIS0sDAMTFxSE1NRXz589vsQEEEREREZGrnXy06ZhIIkXibOcsHk6cPR/Htvwc5kajfXwi6phjXkAaOAij33zZaYUQTUQ+Eox+82XkrDoAY1Wd29YLTJs2rfl5ICcHuHTJVigweTLw5JOdFww0sViAGzeA8+ftBQNN/jk5GU8UF9vOecTV6wXaWyvQ40IPoRAYPdr2p7ISyMy0F3o0rRU4cuQIRo0a5cTfgIiIqO9jMQTRAJbz6A2zUACE+bn36SDMTwyhwLbzu1qtduvcRN5Mp9Nh3bp19vtzR/tBLunCB/4ekEuEmDvaD/su6QAAa9euxauvvuqxL9kFAgGSkpJ6tSNs8V//CqulZTcJq8WC4r/+FSNffbW3Ibbr5MmTePnll1FfXw8AkATIMfLfXsDgiSN6PbZPqD9i185E0D+NQsEHX6CxWo/q6mr8y7/8S6/HJqKuMTU0oOrqVQSOGQOxT+9aDxMRuZpIJMKcOXMwZ84cAEBZWRnUajXy8vJQV1dnLzIdNGgQ4uLikJSUhODgYA9HTZ7UlBeAQAAfpdKtc/uqVLbd0axW5gWIHLTOC0S5sJBALJUiatw43L5wAUD38gIqlQqHDh3C9OnTsWrVKtTV1bV7nvbBA+irqzE0KQl+A6DrUG1FBe5mZ6OxoeGx54plMgjFYljNZjQaDC0Wb+Tl5SE1NRUbNmzApk2bsHTpUnaKIPIA5gSIiGigqampQX5+PgAgbNRY+ChUThnXR6FC6BPxKLmWjfz8fOh0Ohb9EnWgdV5g5E+mQaJwzXtRicIHI1e9gGu//gyAe9YLHDx4EMePH8fq1auh1Wptn4Vv3LD9kcmAiIjmP4MGAWIxYDIBdXVASUnzH4Ohxbj+/v547733MNnHB//41a9a/MyV6wVarxWAQgG88gowZkzvBx88GHjtNWDcOODwYUCnQ3V1NaZNm2bfTIGIXIt5AaK+g8UQRANYRUUFAEAhFULi5F3nH0ciEkAhFUJrsKCystKtcxN5s4MHD0Kj0QAAEkKlGB3s2p0TRwdLkRAqRU6pERqNBocOHUJKSopL53Slux3sJnPv5EmXJDf+/ve/t0hu+CdEI/aNWU5PSA2eOALKpyJw891j0OQUNSdTiMjlzq5bh5JTpxD5ne/gWbbuJqI+JiQkBMnJyUhOTvZ0KOSlmvICEpkMQjd3BRGKRJDIZGhsaGBegMiBY17APzISyiFDXDqfMjQU/pGR0BQXdzsvIBAIsHjxYkyePBk//OEPmwusWmlsaEDh2bMYEhuLIaNGQdCVXR77GKvFgof5+Xh482an50l8fBAeFwdlaGiL512L2YyGmhroq6tRXVICfVUVAECj0WDZsmVIT0/Hnj17EBkZ6dLfg4haYk6AiIgGmoKCAvvt0CfinTp22KixKLmWDavVioKCAiQkJDh1fKL+wjEvEPzckwicMNyl8wV+KwbBzz2J8i9vuGW9gEAgwKJFizB79mx8+OGH2LlzJ4qKimw/NBiAW7dsf7ooOjoaKSkpWLZsGYKCgvC35cvbPc8V6wVarxXAqFHAvHmAXO7UeTBmDDB8OHDoEJCfj/r6eixatMi5cxBRu5gXIOo7+t+3DkTUZUajEQAg9tAzgejRvIZWFdtEA5XVasX27dvt958f5uuWeZ9zmGf79u2wOuxE2JcYNBo8/Prrdn9WeuECjFqtU+crKSnBSy+9ZE9uDJ48Ek+9+ZJLd+Z46s2XEDip9x0niKhr9KWlKDl1CgBQ/Le/Qf/woYcjIiIicq6mvIDAzYUQTZoWRDMvQGTTOi8QMnKkW+Z1nKcneYHY2FicP38ea9as6fS8hzdvovDsWRj1+h7F6a2Mej0Kzp59bCFE8IgRePKFF+AfEdGmAE0oEkEeEICgmBg88cwzGPX88/B3KHzIyMhAYmJihwUnROR8zAkQEdFA5Pj5XCZ37s7wUl8/++2GLnRSIxqIWucFIl6Z4JZ5I/45yX7bXesFgoKCsH79ehQWFuLIkSOYO3cuoqKiunRtVFQU5s6di88//xyFhYVYv349goKC3LpeoPVaAcTFAUuWOL8Qoolcbhv/UccJbp5I5HrMCxD1LewMQTSASaW2HedNFs/Mb340r0wm80wARF4mOzsbeXl5AIBh/mKEK9zzMh2hECNaJUaR1oTc3Fyo1WokJSU9/kI3qikqQu7778PQSYLCqNXCajK1+zOryYS/LV8Oqarjdr4ylQrxP/kJlNHRj43HarVi5cqVqK6uBtDUEWImhBLX/j8TSsR48mezcO3t/4Mmp8ilcxERcO+vf215/4svEDtvnoeiISIicr6mvIDVbPbI/FaLLTHAvACRjWNeQB4YCN9OPsM6k69KBXlgIPRVVT3OC8hkMvz3f/83XnjhBSxevBjl5eXtnldXVYX806cROX48/MPDnRG+R2nu30fxpUswNzZ2eI5YKkVUYmK3unz4qlSITkpCQEQE7l2+DFNDA8rLyzF16lScOnWKHSKI3IA5ASIiGogcP58b9Dqnjm2sr7Xf9vFxzcZiRH2dY15AOTocfsOD3TKvX0wIFKPDoLv+wO3rBUQiEebMmYM5c+YAAMrKyqBWq5GXl4e6ujoYDAbIZDIoTSZE3boFP7HYntPEX/6CL//yF/tY7lov0HqtgL0jhNjF6zvEYmD+fGD/fiA/37VzERHzAkR9DIshiAawoKAg3L9/HzqjBY1mKyQigdvmbjRboTPaFj0MHjzYbfMSebOsrCz77fGh7l0MlBAmQ5HWZI/D24ohru3ejaLjx3s1RtXVq489RySTYdJvf/vY8w4cOICjR48CACQBcsS+McvlhRBNhBIxYt+YBXVqGho1/Ws3TSJvc+/kyTb3meAgIqL+pCkv0GgwwGI2t9mp3JUsZjMaH+04ybwAkY1jXiAgIsKtcwdEREBfVWWPo6d5gVmzZuHy5ctYuHAhvvjii3bPMTc2ougf/0DtsGEIHzMGQlcvFnABi8mEkrw8VBV1vlGBX3AwhiYmQtLDxV7K0FDEBgbi9oUL0FdVQavVYsaMGTjZ6rMKETkfcwJERDQQjXToGlf6Ta5Tx36QfwUAIBAIWsxDRM0c8wJBz8W6de7g556E7voDexyeWi8QEhKC5ORkJCcntzie9f/+H25duoSqXoztrPUCjmsFoFC4pxCiiVhsm+/dd4Ha2sefT0Q9xrwAUd8i9HQAROQ5CQkJAACLFXhQ2351tKs8qDXB8qizXmJiolvnJvJWFy9etN+OUrpvEVLr+Rzj8Bbhzz4LCFxcsCUQ2OZ5jIqKCqxevdp+f+S/vQCJwr072EgUPhj5by+0OFZZWenWGIj6u4bKSpRnZ7c4Vp6djYaq3qRZiYiIvEtTXgBWKxpqatw6d71WC1htiQHmBYhsHD+PywMC3Dq3r79/u3H0RFhYGDIzM/Ff//VfEHeyGKDyzh3kf/UV6t38/NNb9Vot8r/6qvNCCIEAYU89hZjJk3tcCNFELJUiZvJkyAMDAQDl5eX46U9/2qsxiahzzAkQEdFApVQqMWrUKAC24oUGXccd27ujQae1F1eMGjUKCoXCKeMS9TeOn8cVT4S6dW7FyOZuhlwv0LHWawXwyiuAXO7auFqTy23zEpHLMC9A1PewGIJoAJswYYL99r0as1vndpzPMQ6igSwnJwcAIBQAYX7u3RUxzE8M4aPcgVqtduvcXTF0xgx858MP4RsS4pLxfUNC8N29ezF0xozHnrtnzx5otbbkb/DzT2LwxBEuielxBk8ageDnn7TfP3TokEfiIOqviv/6V1gtlhbHrBYLilu1wyQiIurLHD+P65vaurtJvUbTbhxEA1lTXgACAXyUSrfO7atS2RcVOCMvIBQK8bOf/Qyff/55p+cZdDp88+WXqLh9G9ZHBVLeymq1ouLWLXzz1Vcw6HQdnieVy/HEM88g5IknIHDSQg2RWIzhEydC/Kiw4m9/+5tTxiWi9jEnQEREA9m0adMAAOZGI9RHnfPdk/roQZgbjS3GJ6K2mvICApEQg4YFuXVu+bBgNC0Y4HqBjjmuFUBCAjBmjEvieay4ONv8ROQSzAuQq5WVleH48ePYtGkTfvnLX2LDhg345S9/iU2bNuH48eMoKyvzdIh9DoshiAawSZMm2W9fKjW4de6cB83zOcZBNJBVVFQAABRSISQiF+9q0IpEJIBCantb4K0dBkInTcLMTz9FxPPPO3XciOefx8xPP8WQiRMfe67ZbMbOnTttdwRA9LzJTo2lu4a+Nhl49FclLS0NZrN7C9uI+rO7rdpeNmndDpOIiKgvc/w8Xl1S4ta5HedjXoDIpikvIJHJIBS5t2OkUCSCRCYD4Ny8QFc6v1gtFpRcuYI7X38Nk9HotLmdyWQ04s7XX6MkN7fNF6GOBgUFYdTzz7uks4dYKkXUuHFOH5eI2mJOgIiIBrKUlBT77TN/2AKDvrZX4xn0tTjzh63tjk9ELdnzAgFyCKXu3TxRJBNDGjgIANcLdKTlWgEB0IWNFl1q+vQW3TK4VoDIeZgXIGczm804cuQIXn31VURFRWHIkCGYNWsW3njjDfzqV7/CO++8g1/96ld44403MGvWLAwZMgRRUVF49dVX8fnnn/M5vgtYDEE0gCUlJSEuLg4AcEdjwn2dyS3zluhMKNLa5oqPj+/Sl6JEA4Hx0Rf+Yg+9OosezWswuLc4qjt8AgLw7LZtSNqwAUKptFdjCaVSJG3YgGe3bYNPFxcpHD9+HHfv3gUABCQNh0+of69i6C3fMH8EJA4DANy7dw8ZGRkejYeovzBoNHj49dft/qz0wgUYtc5pDU5ERORpjnkBfVUV6t30Glev1UL/qJ008wJEzZryAgI3F0I0EQhtiQFP5QVqSkuRf+oUah8t/vAWtRUVyD91CjWlpZ2eJw8IwMgpUyCSSFwWizI0FP6RkS4bn4iYEyAiIoqLi8P06dMBAJoHRTi+dX2vxju+dT00D4oAANOnT8cYT+2iTtQHNOUFhBLP5AWEYtu8XC/QPse1AoiNBQYP7tX8vRYUZIvjEXaRJHIO5gXImSoqKvDOO+9gxIgReOmll5Ceno7i4uIuXVtcXIz09HS8+OKLGDFiBN555x174SS15d4yUiLyKgKBAKmpqUhNTQUAnL5Tj9fiFS6f98s79fbbqampTmsXT9TXSR99WDd1vMGgS5kfzSt7tBOktxIIBIidNw8hSUk4+8YbqLl1q9tjKGNiMGXTJgQ4JAe6Ii0tzX47bNbYbs/rCmGzxqE6+w4A4KOPPsLs2bM9GxCRl6spKkLu++/D0EmSwqjVwmpqv0jUajLhb8uXQ6pSdXi9TKVC/E9+AmV0dK/jJSIicqXWeYGyggJEJyW5fN6yggL7beYFiJo15QWsHtrlqanjgavzAmPHjsWVK1fa/VljQwMKz57FkFGjMCQ21l6g4QlWiwWlN2+iLD+/S+dHuqlrQ8jIkdB08QszImqJOQEiIqKu2bFjB+Lj46HX63EhfTcGR43AMwvWdHucM3/YggvpuwEAcrkcO3bscHaoRP1KU17A0uiZvIDFZJuX6wXa57hWAE8/3e05XWLyZODGDQDAH//4R7z22mseDojIuzEvQO5itVpx4MABrF69GtrWf99kMiAiAoiMBMLDgUGDALEYMJmAujrg/n2guBgoKQEeFSgWFRVhw4YN2LhxI7Zu3YqFCxfyu7VWWAxBNMDNnz8fGzZsgEajQU6pEQmhRowO7l31dGeulxuRU2qrZvf398e8efNcNhdRXxMUFIT79+9DZ7Sg0WyFROS+Ny2NZit0Rtuih8Ge3sGgiwKefBLJ//u/OPHaa9B0cWECAPiPGoXpH38Msa9vt+fMysoCAIh8pfaODJ4WkDQMIl8pzPVGXLhwwdPhEHm9a7t3o+j48V6NUXX16mPPEclkmPTb3/ZqHiIiIndwzAtoiosREBEBZWioy+arKS21L+JlXoCopaa8QKPBAIvZDKEbO0RYzGY0PvpixdV5gWPHjmHLli3YvHlzh+c8zM+HrqIC0UlJkMrlLo2nPUa9HkXZ2fYuNo8jDwyEbydfgjqTr0oFeWBgl2MjombMCZCnWa1WZGdnIysrCxcvXkROTg4qKipgNBohlUoRFBSEhIQETJgwAZMmTUJSUhIXNxCRR8TExGDLli1YuXIlAODYlp+j8l4hZr7+e8jkfo+93qCvxfGt6+2FEADw9ttvIyYmxmUxE/UH9rxAtR4WowlCqfuW9ZkNJhir6gBwvUBHmtYKQCZr0ZHBo5580haPwQC1Wu3paIi8HvMC5A4lJSVYuXIljh492nxQILC9djz9tO2/nW0C1LRpmcUC3LwJnDtn+6/VCo1Gg8WLF+OTTz7B7t27ER4e7tpfpg/x3LZKROQVFAoFNm3aZL+ffr0W+kbXbEuvb7Qg/Xqt/f7mzZuhULi+EwVRX5GQkAAAsFiBB7XtVxm7yoNaEyxW2+3ExES3zt0bAqEQtSUl3bqmtqQEgh4sKCkrK7O3Khs0IgQCkXe8jRKIhBgUEwwAuHfvHsrLyz0cEZF3C3/2WdsHTVcSCGzzEBER9QGt8wL3Ll+GyWh0yVwmoxH3Ll+232degKilprwArFY01NS4de56rRaw2hIDrs4LSKVSbNq0CRkZGQgJCenwPH1VFW6eOoVaN3/OrS0vx81TpzotNggJCbF31QGAgIgId4TmsfmI+gvmBMhTdDodduzYgbFjx+Jb3/oWfvKTnyAtLQ1XrlzB/fv3UVFRgfv37+PKlStIS0vDT37yE3zrW9/C2LFjsWPHDuh0Ok//CkQ0AK1YsQK//vWv7fcvpO/G1lcTcO6PH6BB1/5uyg06Lc798QNsfTWhRSEEACxYsMCl8RL1B015AavZgro7FW6dW3+nHE0LBrheoC3HtQKIiOh8Eas7CYW2eGBbfMu1AkSdY16AXO3s2bOIj49vWQiRkAD8/OfAj34EjB7d9dcQodB2/o9+ZLu+6fsDAEePHkVcXBzOnj3r5N+g7/KSV2Yi8qSlS5ciOTkZAFBjsGL/JR2MZqtT5zCardiXo0ONwTbuzJkzsWTJEqfOQdTXTZgwwX77Xo17W186zucYh7d7cO4cTHV13brGVFeH0nPnuj1Xdna2/bbfyI4Xa3iC38gh9tuOcRJRW0NnzMB3PvwQvp0suuoN35AQfHfvXgydMcMl4xMREbmCY17A1NCA2xcuwNxBG+ieMptMuH3hAkwNDQCYFyBqj+PncX11tVvnrtdo2o3DlWbMmIHLly9j+vTpHZ5jMZlw++uvYW5sdEtM5sZG3P76a1g6eQ6cMWMGrly5gjqHfIQ8IMAd4dn5+vu7dT6i/oI5AXI3q9WKvXv3YujQoUhNTUVeXl7LEwQCSHx8IB00CBIfnzaLcvLy8pCamoqhQ4di7969sFqd+90dEdHjvPnmm9i1axfkj7q1aR4U4cjGNfjNCxHYNn8yDv96JY68uxaHf70S2+ZPxm9eiMCRjWugeVDk4ciJ+ibHz+O6b0rdOreu4GG7cXg7d60XaPEdfGRkt651OYcNE7hWgKhzzAuQK508eRLTpk1DdVNuX6EAFi8GXnsN6G3XpcGDbeMsXmwbF0B1dTWmTZuGkydP9m7sfoLFEEQEgUCAPXv2IDjYtrP4HY0Je9Q1TusQoW+0YHd2DYq0ti8Rg4ODsXv3brb2JWpl0qRJ9tuXSg1unTvnQfN8jnF4u3s9fEPXk+uuOrS684vxsmKIEc3xtPlCjYjaCJ00CTM//RQRzz/v1HEjnn8eMz/9FEMmTnTquERERK7WOi+gr6rCrfPnndYhwmQ04tb58/Zd1pkXIGqf4+fx6m7uathbjvO5My8QGhqK48eP491334VEImn3HIvJ5LbiEH11dYeFEBKJBJs2bcKxY8cwZMgQ5OTk2H4gEMBHqXRLfE18VSrX72JH1E8xJ0DuUlxcjFmzZmHZsmXQOBQdygMDEREfjyeefRbxs2fjqRkzMPqFF/DUjBmInz0bTzz7LCLi4yEPDLRfo9FosGzZMsyaNat5R2IiIjdZsWIFcnNzWxQxmxuNKLmWjYt/2Y9z//M+Lv5lP0quZcPc6JpOk0QDhePn8Yovb7p17vIvb7Qbh7dz13oBx7UCCA/v0Zwu41AMwbUCRI/HvAC5wt///ne8/PLLqK+vtx0YNQpYtw4YM8a5E40ZYxt31CgAQH19PV5++WV2iACLIYjokcjISGRmZkKlUgGwFURsPq/B9fLeJSyulxux+bzGXgihUqmQmZmJSG+rlCbyAklJSYiLiwNg+zd4X+fcnVg7UqIz2f+NxsfH95m2l5bGRpScOtWja4v/9jdYurmrZG1trf22ROnbo3ldRazwsd+u6+bOF0QDlU9AAJ7dtg1JGzZAKJX2aiyhVIqkDRvw7LZt8HHzjrDUt9XU1ECtVuP8+fNQq9WoqanxdEhENIC1zgvoq6pw89Qp1Dx8+JgrO1dTWoqbp07ZCyGYFyDqmGNeQF9VhXqt1i3z1mu19n+jnsgLCIVCrFu3DufOnbMXZbUm8fFp97iziTuYJyQkBOfOncPatWshfNTGvKKiwhabTAahSOSW+JoIRSJIZDK3zknUnzAnQK6Wk5ODxMREZGRk2I/5R0Zi1PPP44lnnkFQTAzkAQFtXj+EIhHkAQEIionBE888g1HPPw9/h/fNGRkZSExMbC7IIyJyk5iYGGRmZiI3NxerVq1CbGxsmw0OBAIBYmNjsWrVKnz11VceipSob3PMC9Rcv4/a2+Vumbf2Vhl01x8A4HqBjjiuFcCgQT2a02Uc4uFaAaKuYV6AnKmkpAQvvfRScyFEXBywZAnwqLua08nltvEfFVrU19fjxRdfxP37910zXx8h9nQA1HNNX7ZQz7X3GA7kxzUyMhKffvop/vVf/xUVFRWoMVix75IOCaFSPDfMFxGKrj9llOhM+PJOPXJKm4spAgMD8cknnyAyMhLl5e750Nbf8O+sa3jT47pgwQL8/Oc/BwCcvlOP1+IVLp/zyzv1LeZ35u/uyse28h//gLGDRaPB//RPeCIlBd/s2IHydqpfjTU1yP/iCwzuRotPx927BBL3LnJ4HKFDPNXV1XyO7SFvei7ob7z5sQ2cPh3fjolB7q9/jbq7d7t9/aDoaMS/9RYUI0a4/Xfy5se1L3P1Y5iXl4edO3fi5MmTyM/Pb/PzUaNGYdq0aUhJSbF/6UHUEf6b7z0+l7bUOi9gamjA7aws+EdGImTkSNtO5F1Ur9WirKAAGoeda4OCgvCnP/2JeYFe4N9Z1/Cmx9UxL1BWUIDopCSXz1lWUNBifk/lBUJDQ9HQ0NDmuFQuh0zh+vwIAPgoFJD4+qKxvr7F8fr6eoSGhrZ47jIYbF02BW4uhGgiELbc64rPBb3nTc8F/Y23PrZ9OScAeO/j2tf19jFUq9X4zne+A+2jokaxjw+ixo+HcsiQbo/lq1IhOikJARERuHf5MkwNDSgvL8fUqVNx6tQpJCQk9CpW6vv4b773+FzaPUOGDMFbb72Ft956CzqdDnfu3EFDQwN8fHwwfPhw+Pn5AeDj6kp8bF3Dmx5Xx7xAyeGLiF030+Vzlnya3WJ+Z/3urn5c3blewHGtAMRettzSIR6uFegdb3ou6E+8+XFlXoDa053H0Gq1YuXKlahu6mw8ahQwb57rXyvEYmD+fGD/fiA/H9XV1VixYgWOHDkyYLuyC6xWq9XTQdDjlZeXIyQkxNNh0AAXrRIjIUyGKKUIYX5iSETNT5yNZise1Jpwr8aMnAcG+y7zRNQ7S8crMDq4d1XInblebsS+SzqXje9KS8PC8N1WVdVGiwUHHz7EX5veZAJ4ISAA84YMgbTVIoG/VlVhX2lpj+Ye88vvIyBpWI+udYWqi7dx7Vd/8XQYRH2aVCDAL4cPR3Q3dpwtamjAL2/fhpEfqfq9srKyDncp7qrCwkKkpqbixIkTXb5m+vTp2LFjB2JiYno1N/UPzAuQN5AHBiIgIgK+/v7wVala7GRrMZtRr9WiXqNBdXEx9A7vyYmo54ZPnAhlaKjLxq8pLcXtCxdcNr4zBI8YgXA3FomW5OWhorCwy+dLfHzw1IwZLoyofdcyM9HYTvEIEXUfcwL0OF3NCxQXFyMxMdG+AE0eGIjhEydC3MudRgHAZDTi9oUL9m5OwcHBUKvV7Lg2gDAvQEQ0MD311ssI/JbrviOo+sctXPv1Zy4b35U8tl7gRz8CnnyyRzG7xI0bwN69no6CqE9jXoAep6O8QFpaGhYvXmy7o1AA69a5riNEe/R64N13gUcdjNLS0rBw4UL3ze9FvKxUkYi8WZHWZC9yEAoAhVQIkRAwWwCd0QILX9uJnC79ei3W+vtDLhE+/uRu0jdakH699vEneiEBgAmtdoUsbmjAtpIS3Hu0M2OTL6qrcVOvx6qICEQ6fHCZoFRif2kpevLU1VhT//iT3Mik4+IHot6yAgiRSLp1TYhEAotrwqF+Zvfu3VizZg30er39mFQkxLghSowdooJCKobOaMKVh1pcflgDo9n2N+vEiROIj4/H1q1bsXz5ck+FT0Rkp6+qsi++gkAAiUwGgVAIq8WCRoMBYNKfyOnuXb6M2MBApyyibM1kNOLe5ctOH9fZVOHhbp3PPyysW8UQjQYDLGZziwIxV7OYzbbnXSJyCuYEyBmsViuWLVvWohAiZvJkiJy0G6RYKkXM5Mm4df489FVVKC8vx/Lly3Hs2LEBu+sjERHRQFCw7QskbFsIiaLrC3S7qlHXgIJtXzh9XHfw6HqBurqeBe0q3hYPUR/EvAD1REVFBVavXt184JVX3FsIAdjme+UVIC0NALB69WrMmjULQUFB7o3DCzh/ZSURDQgWK6A1WFBVb4HWwEIIIlepMVix/5IORrNz/5EZzVbsy9GhxtA3//EOlkigcvgS6YuqKrx5+3abxEaTewYD3rx9G39tWrgFQCUWY3A3P8w0qb1V1qPrXKW20LviIeqL4gYNgm83Fy/5ikSIHzTIRRFRf/H2229j5cqV9kKIaJUv3p85FmXrZuLr5c/jw5cSsCU5Hh++lICvlz+PsnUz8f7MsYhW+QIA9Ho9VqxYgd/85jee/DWIiNqyWtHY0ACjXm/bmZyFEEQuYWpowO0LF2A2ObcLq9lkwu0LF2Dy8s4CYh8fyFvt8uhq8sBAiGWyrl9gtaKhpsZ1AbWjXqvl8y6REzEnQM6wb98+ZGZmArC9fg2fONFphRBNRGKxrdPEo0V8GRkZ2L9/v1PnICIiIu9irKrD9bc/g7mh0anjmhsace3tv8BY1TcX0nt0vcD9+92/xpVKSjwdAVGfx7wA9cSePXug1WptdxISgDFjPBNIXJxtfgAajQYffvihZ+LwMBZDEBERebk7GhP2qGugb3ROTbG+0YLd2TX2Ti99UWVjI/6u0eBeQwO23LuH/aWlj209Z7Rasa+0FFvv3cO9hgac0WhQ2dizpFFtgXcVH9QWPPR0CER93reVyh5d960eXkcDw+7du/HWW2/Z76ckDUNe6nex6tsxUPm0n2BX+Uiw6tsxyEv9LlKShtmPv/nmm9i9e7erQyYiIiIvpK+qwq3z52EyGp0ynslotO8q7e1UYWFu3+1aIBBAFRbWrWv01dUuiqZ99RqNW+cj6u+YE6De0ul0WLdunf1+1PjxLunqBNg6RESNG2e/v3btWuh0OpfMRURERN6h5vp9XH3rUzTqnLOhQaOuAXlvHYbu+gOnjOcJHl0vUFzcw6hdhMUQRL3GvAB1l9lsxs6dO213BAJgxgzPBjR9ui0OADt37oTZbPZsPB7g3O0oyK2uXbs2INuZOFNFRQWeeuqpFsf4uDoHH1vX4OPqGt76uObm5uL73/8+ampqcEdjwubzGswd7YfRwT3/EuV6uRHp12vtHSGUSiX+/Oc/Iz4+3llht+COx3ZpL679dTfPHz9+PO7fv4+6wjJYzRYIRJ6vK7WaLai7ZWu9HhERgZycHA9H1Hd563NBf+Dtj63FZMKX3/8+TD344vi7UVH49cWLEDp5p7+u8PbHta9q73HticLCQqxZs8Z+f/P0OPx08sguX+8nFWPHnPEYGTgI605eBQCsWbMGL7zwAmJiYnodH/UP/Dffe3wudQ0+rq7Dx9Y1vPVxdcwL6KuqcPPUKUSNHw/lkCE9HrOmtBT3Ll+2d4TwlrzAunXrcODAgTbX+4eHuySux/EPD0flnTttji9atAjvvvsuAODSpUuYPn06AKC6pARBbnyPVt3OQgdv+Dvb13nrc0F/4M2PbV/NCQDe/bj2ZT3JCxw8eBCaR4Vq/pGRvXqt7gplaCj8IyOhKS6GRqPBoUOHkJKS4tI5yTvx33zv8bnUNfi4ug4fW9fw1sfVMS9Qc/0+clYdwMifTEPghOE9HrPqH7dQsO0Le0cIV+YF3PW4umu9QNNaAZSUABYLIPT8WgFYLPZiiNDQUFy5csXDAfVt3vpc0Nd5++PKvAC11pW8wPHjx3H37l3bndhYYPBgN0TWiaAgWxw3bqCoqAgZGRmYPXu2Z2NyMxZD9GFBQUEIDg72dBj9Dh9X1+Fj6xp8XF3DGx7X73znOzh9+jRmzJiB8vJy1Bis2HdJh4RQKZ4b5osIRddfxkt0Jnx5px45pc27SAYHB+PEiRMYP368C6LvmDc8tj319NNPIz09HeZ6I6rVdxD4Lc8vRq3OvgNzve3/6+TJk/vsY+ut+vLfV2/nTY/tg7NnO0xuRH73uxi/di0ubdqE4r/9rc3PTTodLLdvY8jTT7s6zC7xpsd1oEtNTYVerwdg6wjRnUIIR2uffgIFVXXYmX0Her0eP/7xj5GZmenMUKkP66v/5svKypCdnY2rV6+itrYWRqMRUqkUfn5+GDNmDJKSkhASEuKx+Prq4+rt+Li6Dh9b1/CGx7V1XsDU0IDbWVnwj4xEyMiR8FWpujxWvVaLsoICaBx2L/SWvIDZbEZGRkab88RSKQZ56EukQYMHQySVwtyqG0dGRgb27t0LkUiEF154AXFxccjLy4O+qgr1Wm23/p/0VL1W225XD2/4O9sf8XF1HW95bPtTTgDwnsd1ILFardi+fbv9fsjInn3+766QkSPtr+vbt2/HypUr3d5NiTyP/+Zdg4+ra/BxdR0+tq7hDY9r67yAsaoO1371FwQ/9yQi/jkJfjFdz6HW3ipDyafZKP/yhv2YJ/IC3vC49lTTWgEYDMDNm8Do0Z4OCbhxwxYPgG9961t99rH1Zn3576w386bHlXkB6om0tLTmO97y/3/yZNvrAoCPPvqIxRBERETkPRISEqBWq7F8+XL7woCcUiNySo2IVomRECZDlFKEMD8xJKLmLzoazVY8qDXhXo0ZOQ8MKNKaWoybnJyMPXv2IDIy0q2/T1+3aNEiW4IDwINjV7yiGOLBscv224sXL/ZcIER92L2TJ9scE0qlSPr5zzHyX/8VAoEAz/x//x+++eMfod64EZZWC6LunTyJMG/5gEteITc3FydOnAAARKt88e70uF6N9+70OBwveIgibT1OnDiBvLw8xMX1bkwidzKbzTh27BgOHDiArKwsFHehjXhkZCQmTZqERYsWYebMmRCJRG6IlIjI+7SXF9AUF0NTXAx5YCACIiLg6+8PX5UKQofnSovZjHqtFvUaDaqLi6Gvrm4xrjflBc6ePYuysrI2x5VhYT1a1Gm1WlFbUYGGmhr4KJXwCwrq9jgCoRCqsDBUFRW1OP7w4UOcO3cOzzzzDAQCAVJTU5GamgoAKCsoQHRSUrfj7a6yggKXz0E0kDAnQL2VnZ2NvLw8AIA8MNAthXEA4KtSQR4YCH1VFXJzc6FWq5HkhtchIiIicq/28gLlX95A+Zc3oBgdhuDnnoRi5BDIhwVDJGteBmg2mKC/Uw5dwUOUn74B3Y0HLcb1prxAX+G4VgDnznlHMcT58/abP/jBDzwYCFHfxbwA9URWVpbthkxm68jgDZ580haPwYALFy54Ohq3YzEEERGRl4uMjMSxY8ewf/9+rF271t5uu0hrshc5CAWAQiqESAiYLYDOaIHF2nYsf39/bN68GUuWLOEuUT0wc+ZMREdHo6ioCNXZt9FQqoFPqL/H4ql/oEG1+g4AICoqCsnJyR6LhaivspjNbXZxUI0YgSmbNsF/1Cj7MYFAgFE//CFCkpJwdt06aAsL7T8r/utfMeEXv2ix+IwGtl27dtlvr3v6CfhJe/fR208qxtrJI/HvGbn28d9///1ejUnkDhUVFdizZw927dqFolaLSR+nuLgY6enpSE9PR3R0NFauXInly5eztS8RDUgd5QX0VVXNHQIEAkhkMgiEQlgtFjQaDIC1bWLAG/MChw8fbve4Kjy822OZDAbczcmB7uFD+zHFkCEYmpAAsUzWrbHaK4YAbPE+88wzAID58+djw4YN0Gg00BQXIyAiAsrQ0G7H3VU1paUtunsQUe8wJ0DOYF8AASAgIsKtcwdERNjfC2RlZbEYgoiIqJ/qKC+gu/4AuuuPihyEAkgDB0EoFsFiMsNYVYf2Fgx4Y16gr3BcK4CbN4HKSsBDHS0BABUVtjge+c53vuO5WIj6KOYFqCfKysqaN36LiACEQs8G1EQotMVz6xbu3buH8vLyAdUlxEv+LxAREVFnBAIBli5dirt372LHjh1tdoO2WAGtwYKqegu0hraFEPHx8dixYwfu3r2LpUuXMrHRQyKRCCtXrrTdsQJFh853foGL3f34PPDo//WiRYu4YzJRD9Q/fIiGykr7/ZH/+q+Y8ac/tUhuOPIfNQoz/vQnjPyXf7Efa6isRL3DYiuik492EJGKhFgwNsopYy4cNxRSkbDF+ETeymq1Ii0tDSNHjsSGDRtaFELIRALEBIjx7FAf/CDODz9KUGBlkhI/SlDgB3F+eHaoD2ICxJA5dD0rKirChg0b8MQTTyAtLQ3Wdhb3EhH1d4/LC8BqRWNDA4x6PRobGtoUQnhrXsBiseDTTz9tc1wkkcCvmwVwuvJy3Dx1qkUhBADoHj60HS8v79Z4fsHBEIrbFrV++umn9tcihUKBTZs22X927/JlmFrtDucsJqMR9y5ffvyJRNRlzAmQM1y8eNF+Wx4Q4Na5ff39242DiIiI+p/H5gUsVhgratFQqoWxorZNIYS35gX6kpZrBaxAZqZnAzpxokX+h2sFiLqPeQHqiezs7OY73tZhyWGThhZxDgDsDEFuZbVakZ2djaysLFy8eBE5OTmoqKiA0WiEVCpFUFAQEhISMGHCBEyaNAlJSUl8A05E5EChUCAlJQUrV66EWq22P5+q1WpUVlbCYDBAJpNh8ODBSExMtD+fJiYm8vnUSZYvX46NGzdCo9Gg/PQNBP3TKAyeOMLtcVRmFaL89A37/Xnz5rk9BqL+wHfIEAx78UVUX7+OsatWIWratMdeI/b1xbf/8z8ROnkycj/4AAFPPQW5C3d/pb6lpqYG+fn5AIBxQ5RQ+UicMq7KR4KxQ5S4eF+D/Px86HQ6KBQKp4xN5EwlJSVYuXIljh49aj8mABAbJMHTkT6IDZJA2Mn70qQw267dFqsVNysaca64ATcrGmEFoNFosHjxYnzyySfYvXs3wnuwYzgRUV/X3/IC//jHP5p30XKgDA2FsIs7alktFjy4fh3lBQUdnmMyGHDr3DmEPPEEQp98EoIujC0UCqEKDUV1q/ju3buHf/zjH/j2t78NAFi6dCnS09ORkZEBU0MDbl+4gJjJkyFqp5Cip8wmE25fuABTQwMA4Lvf/S7++te/Om18ooGKOQFyhpycHNsNgQA+SqVb5/ZVqQCBALBaoVar3To3EREReUZ/ywv0NY5rBZCTA4wbB4wZ4/5A8vJs8xNRrzAvQD1x9erV5jve9l2lQzFEXl4ekpOTPRiMe7EYgtxCp9Ph4MGD2L59O/Ly8jo87/79+7hy5QrS0tIAAHFxcUhNTcX8+fO50IeIyIFAIEBSUhLbXntAUFAQtm7disWLFwMACj74AsqnIiBR+LgthkZdAwo++KLFscGebMFJ1IcJRSI8/fvf9+jaodOnY+j06U6OiPq6AodFeGOHqJw69rghKly8r4HVakVBQQESEhKcOj5Rb509exYvvvgiqqur7ccSQqWYMUKOwfLu7UolFAgwOliK0cFSVOrNyCzUI6fUttP20aNHERcXhyNHjmDKlClO/R2IiPqK/pIXSE9Pb/e4qotfIhnq6nD34kXoNZounV/2zTeoLS/H0AkTIBs06LHnq8LD2xRDALa4m4ohBAIB9uzZg8TERJSXl0NfVYVb589j+MSJEEulXYqrMyajEbcvXIC+qgoAEBwcjM2bN2P8+PG9HptooGNOgJyhoqICACCRySB08268QpEIEpkMjQ0NqHTYzZSIiIj6v/6SF+hrWq8VwOHDwPDhgFzuviD0etu8RNRrzAtQT9TW1jbf6UKO2a0c4qmrq/NgIO7Xta2ViHrIarVi7969GDp0KFJTU9sUQggFgEomxGBfIVQyIYStipDz8vKQmpqKoUOHYu/evfb240RERJ60cOFCzJ49GwDQWK3HzXePwdJocsvclkYTbm48ikaN3i3zERFR9xgMBvtthdS5+w/4SZsXVTQ82hWYyFucPHkS06ZNsxdCKKQCLB6nwGvxim4XQrQ2WC7Ca/EKLB6ngEJqSxxUV1dj2rRpOHnyZK9jJyIiz7BarTjczpf3QpEIiuDgx15fXVyM/NOnu1wI0USv0SD/9Ol2ixxaU4SEtLuw9fDhwy1y1ZGRkcjMzIRKZSuG1VdV4eapU6h5+LBbsbVWU1qKm6dO2QshVCoVMjMz2R2JiMiLGI22om2BmwshmjR1O3LMRxARERGR6ziuFYBOBxw6BJjcs1YAJhNw8CDguBCXiIjcqikPAABwYndgp3CIZ6DlCVgMQS5TXFyMWbNmYdmyZbb2YI8M8xfje08Owk++rcRvpgbiF88GYP0/BeAXzwbgN1MD8ZNvK/G9JwchWtX8D1Oj0WDZsmWYNWtWu23TiYiI3EkgEGDXrl0ICAgAAGhyinBjo+sLIiyNJtzYeAyaS3ddOg8REfWcTCaz39YZnfu6UGs022/7+LivIxHR4/z973/Hyy+/jPr6egDAqMESrHvaH2NCer8btqMxIVKse9ofowZLAAD19fV4+eWXcfbsWafOQ0RE7nHp0iXcvn27zXFlaGinO2ubTSbcVatxNzsblk4WG0RGRnb4M4vJhLvZ2bibkwNzJ2MIRSIo22lzf+vWLVy+fLnFsYSEBJw6dQrBjwo5TA0NuJ2VhaLsbNRrtR3O0Z56rRZF2dm4feECTI+KYIODg3H69Gl2ByMi8jLSR12ArGbzY850DavFAqBlPoKIiIiIXKf1WgHk59sKFFxdENFUCPHNN66dh4iIOiV17AbsrmK4rnKIZ6DlCVgMQS6Rk5ODxMREZGRk2I8lhEqxZpIK//YtFaZE+WCoSgKJqGUrCIlIgKEqCaZE+WDVt1V4fZIKCaHNTx4ZGRlITExETk6O234XIiKi9kRERODIkSPw9fUFAFRlFeLa2/+HRp1rdupu1DXg2q8/Q1VWoUvGJyIi5xg5cqT99pWH3Vv09jiXH40nEAhazEPkSSUlJXjppZfshRBxIVIsGa+AXOKalJNcIsSS8QqMCW4uiHjxxRdx//59l8xHRESu015XCABQddL1wN7V4d69Ds+RSqXYunUrioqKsGXLFkgkkg7Prb57F988pruEKiys3ePtxZ+QkAC1Wo3k5GT7Mc2jDhbfnDmDilu3UFdVBUurBbMWsxl1VVWouHUL33z1FfJPn4bGYVOg5ORkqNVqjB8/vsM4iYjIM4KCggAAjQZDm+d3V7OYzWh8tNPj4MGD3To3kTPU1NRArVbj/PnzUKvVqKmp8XRIREREXdJ6rQCuXgX27wf0etdMqNcD+/bZ5gEgl8tdMw8RET2Wn59f8526Os8F0h6HeAYNGuTBQNyPxRDkdGq1GlOnTkV5eTkAQCkTYOl4BV6LVyBc0b22MBEKMV6LV2DpeAWUMlvhRHl5OaZOncqCCCIi8rgpU6bgs88+syc5NDlFUP9bGiovOLdgoTKrEOrUNHtHCCY3iIi8l1KpxKhRowAAlx/WQNvQ6JRxtQ2NuPLQ9oXwqFGjoFAonDIuUW9YrVasXLkS1dXVAGwdIebF+0EsFDzmyt4RCwWYP1Zh7xBRXV2NFStWwGq1unReIiJyHqvVivT09DbHBSIRFCEh7Z5fXliIgq++grGTL5hGjRqFrKwsrF69GkKhEK+//jqysrLs78/aY6irQ8FXX6G8sLDd1xLFkCEQCNt+ldJRMUdkZCSOHTuGvXv3wt/f335cX1WFktxcFJw5g9yjR3EtMxPXT57EtcxM5B49ioIzZ1CSmwv9o9dVAPD398fevXtx7NixTjtdEBGR59g79litaHDzQu56rRZ49NqVmJjo1rmJeiovLw+rVq1CbGwsVCoVkpKS8PTTTyMpKQkqlQqxsbFYtWoV8vLyPB0qERFRp1qvFUB+PrBpk71gwWny8oB337V3hJDL5UhLS3PuHERE1GVjxoxpvuNtm7WVlNhvxsXFeTAQ92MxBDlVcXExkpOToX3U9nuYvxhrJ/tjdLD0MVd2bnSwFGsn+2OYv62YQqvVYsaMGSh22B2LiIjIE6ZNm4aTJ0/a22A2Vutx/Tf/h5ubj6OhVNOrsesfaHBz83Fc/+3/oVFj20UiICAAf/rTn3obNhERudC0adMAAEazBX+40vGuxd1x4PJdGM2WFuMTedqBAwdw9OhRAIBCKnBLIUQTsdA2n5/UNt/Ro0fxhz/8wS1zExFR7127dg03b95sc1wZEgKRuOWGOo0GA25nZeF+Xl6nhW9Lly5FdnZ286LURxITE5GdnY0lS5Z0eK3VasX9vDzcvnDBvsN2E5FY3G6BxvXr13Ht2rV2xxMIBFi6dCnu3r2LHTt2tP3iyWpFY0MDjHo9Ghsa7AtZm8THx2PHjh24e/culi5dCoHAPa+vRETUfRMmTLDfdixoc4d6h85GjnEQeaPCwkLMmDED8fHx+OCDD5Cfn9/uefn5+fjggw8QHx+PGTNm4NatW26OlIiIqOtarxWATgd89BHw8cdAZWXvBq+osI2TlgbU1gKwrRU4ceIEnnvuud6NTUREPZaUlNR8x9vWLzsUQ7SIcwBgMQQ5jdVqxbJly+wdIYb5i7E8UQm5xDl/zeQSIZYnKu0FEeXl5Vi+fDl3fiQiIo+bMmUKcnNzMXv2bPux8tM3cHHFflz95Z9R9fUtWB8tYH0cq9mCqq9v4eov/4zslftRfvqG/WezZ89GXl4eJk6c6PTfgYiInCclJcV+e9O5b1BrNPVqvFqjCZvPF7Q7PpGnVFRUYPXq1fb7r4z2c9rn/66SS4R4ZXRzK9rVq1ejoqLCrTEQEVHPdNRVQRUe3uK+rqwM+adOQVdW1uFYSqUS//M//4O9e/e2bFHuwM/PD/v27cPHH38MpVLZ4Vi6hw/bnc+/VVyP+z2aKBQKpKSk4MqVK7h48SK2bduGxYsXY+zYsYiIiEBQUBAiIiIwduxYLF68GNu2bcPFixdx+fJlpKSksBsYEVEfMGnSJPvtaodFB+7gOJ9jHETeZvfu3Rg7dixOnDhhPyaSSBE5ZgImfG8Jprz275jwvSWIHDMBIknzJosnTpxAfHw89uzZ44mwiYiIuqS9tQLIyQH+67+AvXuBa9cAS9fWCsBisZ2/dy+wcaNtnEea1gpMmTLFyb8BERF1R0hISHMX35KSrj/Hu5rFYi+GiIqKQnBwsIcDci/x408h6pp9+/YhMzMTAKCUCbBkvAJSkXN3rJKKbONuPq9BjcGKjIwM7N+/H0uXLnXqPERERN0VERGBI0eO4MCBA1i9erWtS5IVqM6+g+rsOxD5SjEoJhh+I4fAb0QIxAofCCUiWBrNMOkaUFtYhtqCh6i7VQ5zvbHF2P7+/njvvfewYMECCAQCe+EhERF5p7i4OEyfPh0nTpxAkbYeb5zIw44543s83hsn8lCkrQcATJ8+vWXrTSIP2bNnj70rZEKoFGNCetcRsqfiQqRICJUip9QIjUaDDz/8EOvXr/dILERE1HXtFREIhEIohwwBAFgsFpRev47ygoI25zmaNGkSPv74YwwfPrxL8/7whz/ExIkT8dprr+HChQvtnmMyGHDr/HkEjxyJsNGjbXGFhkIgELTZmOfw4cN48803HzuvQCBAUlLSgNuNi4hoIEhKSkJcXBzy8vKgr6pCvVYLX5XK5fPWa7XQV1UBsHUUSkxMdPmcRD3x9ttv46233rLf9w+LxjML1iBx9jz4KNr+W2nQaaE+eghn/rAFmgdF0Ov1WLFiBR4+fIhf/OIX7gydiIioy9pfK2AFbtyw/ZHJgIiI5j+DBgFiMWAyAXV1tsWrTX9adaxsvVaAiIg8b9KkSUhPT7c9Z9+8CYwe7emQbK83j15DBuImu+wMQU6h0+mwbt06+/25LtwRUi4RYq7Dzo9r166FTqdzyVxERETdIRAIsGjRIhQUFOCdd95BdHS0/WfmeiNqrpbg/mdq5P93Bq796i/I+8VhXPvVX5D/3xm4/5kaNVdLWhRCREdH45133sE333yDhQsXMrlBRNSH7NixA3K5HACwM/sONp/7pkfjbD73DXZm3wEAyOVy7Nixw1khEvWY2WzGzp07AQACADNGyD0az/QRcjS9S9q5cyfMZrNH4yEios7dunULV65caXPcLzgYIokEhro6FJw502khhEAgwIYNG/DVV191uRCiSUxMDM6cOYP/+I//6PRzdnlBAQrOnIGhrg4iiQR+ISFtzrl8+TIKCwu7NT8REfUvAoEAqamp9vtljynkcxbHeVJTU5k7Jq+0e/fuFoUQE+euwOuf5ODpH6S2WwgBAD4KFZ7+QSpe/yQHE+eusB9/8803sXv3bpfHTERE1FOdrRWAwQDcugWcOQP88Y+2zg+7dtn++8c/2o7futWiEIJrBYiIvNeiRYua75w757lAHJ0/b7+5ePFiz8XhISyGIKc4ePAgNBoNANuOkKODXbsj5Ohg286PAKDRaHDo0CGXzkdERNQdQUFBWL9+PQoLC3HkyBHMnTsXUVFRXbo2KioKc+fOxeeff47CwkKsX78eQUFBLo6YiIicLSYmBlu2bLHfX3fyKn78+SXUGk1dur7WaMKPP7+EdSev2o9t3boVMTExTo+VqLuOHz+Ou3fvAgBigyQYLBd5NJ4guQixgyUAgKKiImRkZHg0HiIi6tznn3/e7nH/sDBU37uH/NOnUf8o19yesLAwfPHFF/jtb38LiUTSoxgkEgl+97vf4eTJkwgLC+vwPL1Gg/zTp1FdXAxVB+e11+WCiIgGlvnz58Pf3x8AoCkuRk1pqUvnqykthaa4GIBtp+B58+a5dD6inigsLMSaNWvs92f9dCO+t2EbZHK/Tq5qJpP74XsbtmHWmv+yH1uzZg1u3brl9FiJiIiciWsFiIj6v5kzZzYXvd28CVRWejagigpbHLAV0yUnJ3s2Hg8QezoA6vusViu2b99uv//8MF+3zPvcMF/klNp2z96+fTtWrlzJKlgiIvIqIpEIc+bMwZw5cwAAZWVlUKvVyMvLQ11dHQwGA2QyGQYNGoS4uDgkJSUhODjYw1ETEZGzrFixAg8fPrTvgLcz+w6OFzzE2skjsXDcUKh82i7e0zY04sDlu9h8vgBF2nr78bfffhvLly93W+xEnUlLS7PffjrSx4ORNJsc5YMblY0AgI8++gizZ8/2cERERNSRjoohtA8eoObhw06vnTNnDvbv3++0hQDf/e53cfnyZSxZsgRHjx5t9xyLyYS72dlQDhnS7s/T09Pxs5/9zCnxEBFR36RQKLBp0yYsW7YMAHDv8mXEBgZCLHX+5nEmoxH3Ll+239+8eTMUCoXT5yHqrdTUVOj1egC2jhDPzH+9R+M8s2ANKu8V4kL6buj1evz4xz9GZmamEyMlIiJyDa4VICLqv0QiEVauXIkNGzYAViuQmQm89prnAjpxwhYHgJSUFIhEnt3IzhNYDEG9lp2djby8PADAMH8xwhXu+WsVoRAjWiVGkdaE3NxcqNVqJCUluWVuIiKinggJCUFycvKArMAlIhqo3nzzTQwZMgRr1qyBXq9HkbYe/56Ri3Unr2LsECXGDVHBTypCrdGMyw+1uPKwBkazxX69XC7H1q1bWQhBXiUrKwsAIBMJEBvUsx25ne3JIAlkIgEMZisuXLjg6XCIiKgTly5davd4Z4UQUqkUmzZtwqpVq5y+IU5wcDCOHDmC999/H2+88QaMRmO34vvHP/6Bu3fvYujQoU6Ni4iI+palS5ciPT0dGRkZMDU04PaFC4iZPBkisfO+NzWbTLh94QJMDQ0AbDtRLlmyxGnjEzlLbm4uTpw4AQDwD4vGzNd/36vxZr7+e9w8mwnNgyKcOHECeXl5iIuLc0aoREREbsO1AkRE/cvy5cuxceNGaDQaICcHGDcOGDPG/YHk5dnmh617ZNNGDQON0NMBUN/XtAgCAMaHytw6d0JY83yOcRAREREREXmLFStWIDc3F9OnT7cfM5otuHhfg705RXjvwi3szSnCxfuaFoUQ06dPR25uLgshyKuUlZWhuLgYABChFEHoJR0ahQIBIhS2XU7u3buH8vJyD0dERETO8uSTT+Lrr7/GT37yE5d1BhYIBPj3f/93XLhwAbGxsd2+/tNPP3VBVERE1JcIBALs2bPHvpuvvqoKt86fh6mDIrvuMhmNuHX+PPRVVQBsxXy7d+922WsjUW/s2rXLfvuZBWsgk/v1ajyZ3A/PLHi93fGJiIiIiIg8ISgoCFu3bm0+cPgw8Kg7ntvo9bZ5H3nvvfec1lW5r2ExBPXaxYsX7bejlO5tr+I4n2McRERERERE3iQmJgaZmZnIzc3FqlWrEBsb22bBgkAgQGxsLFatWoW8vDxkZmYiJibGQxETtS87O9t+O9JNnSG7KkLZHI9jnERE1HctW7YMFy9exLhx49wy3/jx45GdnY0f/ehH3brusMMXTkRENHBFRkYiMzMTKpUKgK0g4uapU512P+qKmtJS3Dx1yl4IoVKpkJmZicjIyF7HTOQKJ0+eBACIJFIkzp7nlDETZ8+HSCJtMT4REREREZEnLVy4ELNnz7bd0emAQ4cAk8k9k5tMwMGDQG0tAGDOnDlYsGCBe+b2QiyGoF7LedRiRSgAwvzcuxAizE8M4aP1Q2q12q1zExERERERdVdcXBzef/993LhxAxqNBmq1GufOnYNarYZWq8WNGzfw/vvvY4wnWmgSdcHVq1ftt8OV3lsMkZeX58FIiIiot1QqFf70pz9hz549GDRokFvnHjRoED788EP88Y9/hFKp7NI1Z8+exYMHD1wcGRER9QUJCQk4deqUvUOEqaEBt7OyUJSdjXqttltj1Wu1KMrOxu0LF2BqaABg6whx+vRpJCQkOD12ImeoqalBfn4+ACBs1Fj4KFROGddHoULoE/EAgPz8fOh0OqeMS0RERERE1FMCgQC7du1CQECA7UB+vq1AwdUFEU2FEN98AwAICAjArl27BnT3SBZDUK9VVFQAABRSISQi9/5jkogEUEhtf40rKyvdOjcREREREVFvKJVKJCQkYPLkyUhISIBCofB0SESPVftodxEAGCTxroSaYzx1dXUejISIiHpj8uTJuHTpEv7lX/7Fo3H867/+Ky5fvoxJkyY99lyr1Yo///nPboiKiIj6goSEBKjVaiQnJ9uPaYqLkX/6NL45cwYVt26hrqoKFrO5xXUWsxl1VVWouHUL33z1FfJPn4amuNj+8+TkZKjVaowfP95dvwpRtxUUFNhvNxUvOEvYqLEAbO+9HOchIiIiIiLylIiICBw5cgS+vr62A1evAvv3A3q9aybU64F9+2zzAJDL5Thy5AjCw8NdM18fwWII6jWj0QgAEHvob5Po0bwGg8EzARARERERERENEE05AAAQC72rGMIxHuYIiIj6HoFAgF/84hf46quvMGzYME+HAwAYNmwYvvrqK/y///f/Hrur1uHDh90UFRER9QWRkZE4duwY9u7dC39/f/txfVUVSnJzUXDmDHKPHsW1zExcP3kS1zIzkXv0KArOnEFJbi701dX2a/z9/bF3714cO3YMkZGRHvhtiLrO8fO4TO7cjT+kvn722w2PuqUQERERERF52pQpU/DZZ581F0Tk5wObNtkLFpwmLw949117Rwi5XI7PPvsMU6ZMce48fRCLIajXpFIpAMBk8cz85kfzymQyzwRARERERERENEA05QAAwGSxejCSthzjYY6AiKhvCQ8Px1//+le8/fbbEIvFng6nBYlEgt/85jf461//2unuWn//+99htXrXayMREXmWQCDA0qVLcffuXezYsQNxcXEtT7Ba0djQAKNej8aGBqDV60h8fDx27NiBu3fvYunSpY8tzCPyBo6fxw16nVPHNtY3d6v08fFx6thERERERNQFZWXARx8BP/+57b9lZZ6OyGtMmzYNJ0+eREBAgO2ATmd7jD7+GKis7N3gFRW2cdLSgFrb56KAgACcOHECL7zwQu/G7ie861sF6pOCgoJw//596IwWNJqtkIjcl4hrNFuhM9qqIQYPHuy2eYmIiIiIiIgGIj+/5l0Y6xq9a8GnYzyDBg3yYCRERNQdL730Evbu3YugoCBPh9KpqVOn4vLly1i6dCmOHDnS7jkmkwkSicTNkRERkbdTKBRISUnBypUroVarkZWVhYsXL0KtVqOyshIGgwEymQyDBw9GYmIiJkyYgEmTJiExMZEFENTnjBw50n679Jtcp479IP8KAFuhkeM8RERERETkBidPAvPmAeXlzceCg22L9LkgH4CtQ0Rubi5WrlyJo0eP2g7m5ACXLgGxscDkycCTTwLCLvQxsFiAGzeA8+eBmzdbbKAwe/Zs7N69u9PNewYaFkNQryUkJODKlSuwWIEHtSYMVbnvy54HtSY0bfyYmJjotnmJiIiIiIiIBqIxY8bYb9+vMSEpzHs6MJTUmOy32+y4SkREXkcmk2Hz5s1ITU3tMws9g4KC8Nlnn+GDDz7AunXrYDAY7D9btmwZCyGIiKhTAoEASUlJSEpK8nQoRC6jVCoxatQo5Ofn40H+FTTotPBRqHo9boNOay+uGDVqFBQKRa/HJCIiIiKiLqqoAP7lXwCNpuXx8nLb8W++AbiZOQAgIiICR44cwYEDB7B69WpotVpbIcONG7Y/MhkQEdH8Z9AgQCwGTCagrg4oKWn+45B/BgB/f3+89957WLBgQZ/JqbsLiyGo1yZMmIC0tDQAwL0as1uLIe7VmFvEQURERERERESu47hop1hn6uRM93MshuDiIiIi7zV16lSMGDECa9aswVNPPeXpcLpNIBBg1apV+M53voMtW7bg3r17mDp1KtauXevp0IiIiIi8wrRp05Cfnw9zoxHqo4fw9A9Sez2m+uhBmBuN9vGJiIiIiMiNtmxpWwjRpLoa+O//Bn77W7eG5M0EAgEWLVqE2bNn48MPP8TOnTtRVFRk+6HBANy6ZfvTRdHR0UhJScGyZcu8vsOyp7AYgnpt0qRJ9tuXSg2YEuXjtrlzHjRXPjnGQTTQWa1WZGdn21st5+TkoKKiAkajEVKpFEFBQUhISLC3Wk5KSmK1IBERERERPVZISAgiIyNRXFyMkhozLFYrhF7wWcJitaJEZ9swISoqCsHBwR6OiMizmBcgb/anP/2pXzxPP/XUU9izZ4+nwyAiIiLyOikpKfjggw8AAGf+sAVJLy2ETO7X4/EM+lqc+cPWFuMTUeeYFyAiIiKnsVqB//3fzs/53/8FfvMbgO8nWggKCsL69evxxhtv4Pjx40hLS8OFCxdw7969x14bFRWFiRMnYvHixUhOToZIJHJDxH0XiyGo15KSkhAXF4e8vDzc0ZhwX2dCuML1f7VKdCYUaW27PsbHxyMxMdHlcxJ5O51Oh4MHD2L79u3Iy8vr8Lz79+/jypUr9q4ucXFxSE1Nxfz589lWloiIiIiIOjVp0iSkp6fDYLbiZkUjRgdLPR0SblQ0wmC2AgAmTpzo4WiIPId5ASIiIiIi8rS4uDhMnz4dJ06cgOZBEY5vXY/vbdjW4/GOb10PzQPbLqrTp0/HmDFjnBUqUb/DvAARERE53ZUrQEFB5+cUFAC5ucDYse6JqY8RiUSYM2cO5syZAwAoKyuDWq1GXl4e6urqYDAYIJPJMGjQIMTFxSEpKalfbCjkTkJPB0B9n0AgQGpqc2vL03fq3TLvlw7zpKamskqdBjSr1Yq9e/di6NChSE1NbZPYEAoAlUyIwb5CqGRCCFv9c8nLy0NqaiqGDh2KvXv3wmq1ujF6IiIiIiLqSxYtWmS/fa64wYORNDt/rzmOxYsXey4QIg95XF4AAgEkPj6QDhoEiY9Pm92ZmBcgIiIiIiJn2rFjB+RyOQDgQvpunPnDlh6Nc+YPW3AhfTcAQC6XY8eOHU6Lkag/eVxeQCASQhrkB58wFaRBfhCIWi4XY16AiIiIOnT4sHPPI4SEhCA5ORnr1q3Df/7nf+J3v/sd/vM//xPr1q1DcnIyCyF6gJ0hyCnmz5+PDRs2QKPRIKfUiIRQo0t3hrxebkROqREA4O/vj3nz5rlsLiJvd//+fSxcuBAZGRktjg/zF2N8qAxRShHC/MSQiJoXOjSarXhQa8K9GjNyHhjsXVY0Gg2WLVuG9PR07NmzB5GRkW79XYiIiIiIyPvNnDkT0dHRKCoqws2KRlTqzRgs91xr1gq9GTcrGwEA0dHRSE5O9lgsRJ7QUV5AHhiIgIgIyAMC4KNUQujQQtliNqOhpgb66mpUl5RAX1UFgHkBIiIiIiJyjpiYGGzZsgUrV64EABzb8nNU3ivEzNd/D5nc77HXG/S1OL51vb0QAgC2bt2KmJgYl8VM1Fd1lBdQjg5H0HOxUDwRikHDgiCUNi8RsxhNqLtTAd03pSj/8gZ01x8AYF6AiIiI2tGdYohf/cq1sRB1gMUQ5BQKhQKbNm3CsmXLAADp12ux1t8fconzm4/oGy1Iv15rv79582a26aMB7YUXXkBFRYX9fkKoFM8P80W4ouOneIlIgKEqCYaqJJgS5YMSnQlf3qm3FxllZGQgMTERmZmZSEhIcPnvQERE1B1lZWXIzs7G1atXUVtbC6PRCKlUCj8/P4wZMwZJSUkICQnxdJhERP2WSCTCypUrsWHDBlgBZBbq8Vq85z6XnyjUo2mvupSUFIhEnivMIPKE1nkB/8hIhIwcCV+VqsNrhCIR5AEBkAcEICgmBvVaLcoKCqApLgbAvAAREREREfXeihUr8PDhQ7z11lsAbB0ibp7NxDMLXkfi7PnwUbT9zNKg00J99CDO/GErNA+K7MfffvttLF++3G2xE/UlrfMCwc89iYhXJsBveMc7CgulYihGhUIxKhThs8ej9lYZSj7NRvmXNwAwL0BERN6N6wXc6MYN4Nq1rp179Spw8yYQG+vamIjawWIIcpqlS5ciPT0dGRkZqDFYsf+SDssTlZA67EbfW0azFftydKgx2JY5zJw5E0uWLHHa+ER9UVNiQykTYO5ovx51ZYlQiPFavAIJoUakX69FjcGK8vJyTJ06FadOnWKCg4iIPMpsNuPYsWM4cOAAsrKyUPxokV5nIiMjMWnSJCxatAgzZ87kwlgiIidbvnw5Nm7caO8QOW6IEWNCXNchsiN5ZS07RzZt0kA0kDTlBcQ+PogaPx7KIUO6PYavSoXopCQERETg3uXLMDU0MC9ARERERES99uabb2LIkCFYs2YN9Ho9NA+KcGTjGhzb8nOEPhGPsFFjIfX1g7G+Fg/yr6D0m1yYG4326+VyObZu3cpCCKJONOUFpIGDMPIn0xA4YXi3x/CLCUHsupkIfi4WBdu+gLGqjnkBIiLyGlwv4EFd7QrheP6GDa6JhagTzt+2nwYsgUCAPXv2IDjYVl1+R2PCHnUN9I0Wp4yvb7Rgd3YNirQmAEBwcDB2794NgcB5xRZEfdUwfzHWTvbvUSGEo9HBUqyd7I9h/rZaOa1WixkzZnTpTSQREZGzVVRU4J133sGIESPw0ksvIT09vcuvScXFxUhPT8eLL76IESNG4J133mmxMxIREfVOUFAQtm7dar9/+Hqt0z7/d5W+0YLDDp0j33vvPQQFBbk1BiJvIQ8MROzUqT0qhHCkDA1F7NSpkAcGAmBegIiIiIiIem/FihXIzc3F9OnT7cfMjUaUXMvGxb/sx7n/eR8X/7IfJdeyWxRCTJ8+Hbm5uSyEIOoC5ehwJGxb2KNCCEeB34pBwraFUI4OB8C8ABEReRbXC3iBnhRDEHkAiyHIqSIjI5GZmQmVytbS8o7GhM3nNbhebnzMlZ27Xm7E5vMaeyGESqVCZmYmIiMjex0zUV83zF+M5YlKyCXOeUqXS4RYnqi0F0SUl5dj+fLlsFqtThmfiIjocaxWK9LS0jBy5Ehs2LABRUXN7dBFvlIo4yIR/r1EjPppMsb88vuI++1cjPnl9zHqp8kI/14ilHGREPk2FwgWFRVhw4YNeOKJJ5CWlsbXNCIiJ1m4cCFmz54NANAZrTiUWwuTxT3PsSaLFQev1KLWaJtvzpw5WLBggVvmJvI28sBAxEyeDLHUOd1ZxFIpYiZPthdEMC9ARERERES9FRMTg8zMTOTm5mLVqlWIjY1ts+mhQCBAbGwsVq1ahby8PGRmZiImJsZDERP1HcrR4Rjz63+GROHjlPEkCh+M+fU/2wsimBcgIiJ362y9AGQyICYGePZZ4Ac/AH70I2DlStt/f/AD2/GYGNt5j3C9QA/dugXk5HTvGrXadh2Rm4k9HQD1PwkJCTh16hRmzJiB8vJy1Bis2HdJh4RQKZ4b5osIRdf/2pXoTPjyTj1ySpuLKYKDg3HixAmMHz/eBdET9S1KmQBLxisgFTm3Q4pUZBt383kNagxWZGRkYP/+/Vi6dKlT5yEiImqtpKQEK1euxNGjR5sPCoCApOEImzUWAYnDIBB1XAAYMnU0AMBqtqBafQcPjl1BdfZtwApoNBosXrwYn3zyCXbv3o3w8HBX/zpERP2aQCDArl27EB8fj+rqauRXNuLgFR3mj1VALHRdF0dbIYQO31Q1AgACAgKwa9cudo6kAUns44PhEydCJHZumlckFmP4xIm4eeoUTA0NzAsQEZFXsFqtyM7ORlZWFi5evIicnBxUVFTAaDRCKpUiKCgICQkJmDBhAiZNmoSkpCS+RyQi8jJxcXF4//33AQA1NTUoLCxEQ0MDfHx8MHLkSCgUCg9HSNS3SAMHYfSbL0PkI3HquCIfCUa/+TJyVh2AsaqOeQEiInKb9tcLCIDYWODpp23/FXayYXBSku2/Fgtw8yZw7pztv1Yr1wt0V0+7PHz6KbBunXNjIXoMFkOQSyQkJECtVmP58uXIyMgAAOSUGpFTakS0SoyEMBmilCKE+YkhcVjE3Wi24kGtCfdqzMh5YLB3gmiSnJyMPXv2sCMEDVi1tbUt7s8d7ee0jhCtySVCzB3th32XdACAtWvX4tVXX2USkoiIXObs2bN48cUXUV1dbT8W/PyTiJ43GT6h/t0aSyASIvBbMQj8VgwaSjUoOnQe5advAACOHj2KuLg4HDlyBFOmTHHmr9CpsrIyZGdn4+rVq6itrbUv1vDz88OYMWOQlJSEkJAQt8VDROQMEREROHLkCKZNm4b6+npcLW/E/ks6zIt3zWcVfaMFB6/U2gsh5HI5jhw5woQ1DRit8wJR48c7rSNEa2KpFFHjxuH2hQsAmBcgIiLP0el0OHjwILZv3468vLwOz7t//z6uXLmCtLQ0ALYFt6mpqZg/fz5fv4iIvJBSqURCQoKnwyDqU1rnBUb+ZJrTOkK0JlH4YOSqF3Dt158BYF6AiIhcr731AkhIAGbMAAYP7t5gQiEwerTtT2UlkJlp73LA9QJd1NNiiMOHWQxBbsdiCHKZyMhIHDt2DPv378fatWuh0WgAAEVak73IQSgAFFIhRELAbAF0Rgss7XQh8vf3x+bNm7FkyRLu4kMD2ieffGK/nRAqxehg1yx4aDI6WIqEUClySo3QaDQ4dOgQUlJSXDonERENTCdPnsTLL7+M+vp6AIAkQI6R//YCBk8c0euxfUL9Ebt2JoL+aRQKPvgCjdV6VFdXY9q0afjss88wbdq0Xs/RHrPZjGPHjuHAgQPIyspCcXHxY6+JjIzEpEmTsGjRIsycORMikcglsREROdOUKVPw2Wef2Z/H8ysbsemcBq+M9sOYEOd9ZskrM+Lw9VrUGm2JA7lcjs8++8ytiWoiT3PMC/hHRkI5ZIhL51OGhsI/MhKa4mLmBYiIyO2sViv27duHdevW2b9jakEggEQmg0AkgtVsRqPBAFibv2TKy8tDamoqNmzYgE2bNmHp0qX8jomIiIj6NMe8QPBzTyJwwnCXzhf4rRgEP/ckyr+8wbwAERG5VOv1AlAogFdeAcaM6f3ggwcDr70GjBtnW6iv03G9wOMUFwOPNkrqtqws2/Xc8JzcyDXbiRM9IhAIsHTpUty9exc7duxAXFxci59brIDWYEFVvQVaQ9tCiPj4eOzYsQN3795lkpoGPKvVio8++sh+//lhvm6Z9zmHebZv3w6rtZ2KJSIiol74+9//3iKx4Z8QjcQPFjmlEMLR4IkjkPjBIvgnRAMA6uvr8fLLL+Ps2bNOnaeiogLvvPMORowYgZdeegnp6eldSmwAQHFxMdLT0/Hiiy9ixIgReOedd1BRUeHU+IiIXGHatGk4efIkAgICAAA6oxUfXdbh41wdKvXmXo1doTfj41wd0i7r7IUQAQEBOHHiBF544YVex07UV7TOC4SMHOmWeR3nYV6AiIjcpbi4GLNmzcKyZctaFELIAwMRER+PJ559FvGzZ+OpGTMw+oUX8NSMGYifPRtPPPssIuLjIQ8MtF+j0WiwbNkyzJo1q8ufz4mIiIi8Teu8QMQrE9wyb8Q/J9lvMy9ARESu0Hq9AEaNsnUWcEYhhKMxY2zjjhoFgOsFOvXpp727/s9/dk4cRF3EzhDkFgqFAikpKVi5ciXUajWysrJw8eJFqNVqVFZWwmAwQCaTYfDgwUhMTMSECRMwadIkJCYmsgCC6JHs7Gxcv34dADDMX4xwhXuewiMUYkSrxCjSmpCbmwu1Wo2kpKTHX0hERNQFJSUleOmll+yJjcGTRyL2jZkQSlzzOidR+OCpN1/CjY3HUJVViPr6erz44ovIy8tDeHh4r8a2Wq04cOAAVq9eDa1W2+JnIl8pBo0Igd/IEPjFhECi9IVAIoK10YzGmnrU3ipDbUEZ6grLYK43AgCKioqwYcMGbNy4EVu3bsXChQv53piIvNqUKVOQm5uLlStX4ujRowCAnFIjLpUaETtYgslRPngySAJhF57LLFYrblQ04vy9BtysbITjV6yzZ8/G7t27e/28TdTXOOYF5IGB8FWp3DKvr0oFeWAg9FVVzAsQEZFb5OTkYMaMGSgvL7cf84+MRMjIkZ2+/glFIsgDAiAPCEBQTAzqtVqUFRRA82jBQUZGBhITE5GZmYmEhASX/x5EREREzuSYF1CODoff8GC3zOsXEwLF6DDorj9gXoCIiJyu9XoBxMUB8+YBYheti5PLgSVLgIMHgatX3bZeADIZEBFh65YQHg4MGmT7HU0moK4OuH/f1k2hpAQwGAB4eL1Aenrvr//JT5wTC1EXsBiC3EogECApKYkfjIh6ICsry357fKjMrXMnhMlQpDXZ4+C/YSIicgar1YqVK1eiuroagK0jhCsLIZoIJWI8+bNZuPb2/0GTU4Tq6mqsWLECR44c6XHyoKSkpMXiXwCAAAhIGo6wWf8/e3ceH2V5Lv7/M0u2yb6yJDEQIgFJhCR4AG2rWJFNtKfaUyvIVhAa25+1asuXoz22tsdzECq2yioiCB5boUdEloAWPC4klSQgYZUtkEDMOslknczy++NJJpOQPbMlXO/XixezPc99zcMw88w113XftxOaOgyVpuOF+aImjwbAarZQkXOZ63u/piL7EliVGSznz5/P+++/L8W/QgiPFx0dze7du1sle63AmbJGzpQ14qNRER2oITpIS3SQFn8vFVq1CpPFSk2jlcIqk/LHYKbB3HqWuZCQEF577TUef/xxaQ4TNyX7vEBodLRLxw6Njqa2vNwWh+QFhBBCOEtOTg733nuvrWhA6+tL7LhxBA0a1ON9+QUHE5eWRmh0NFePH8dUX09JSQmTJ0/m0KFDLmuIsFqtZGdn2yYKy83NpbS0FKPRiLe3NxEREaSkpNgmCktLS5PzXSGEEELcwD4vEHF3okvHjrx7FIbT121xSF5ACCGEI7StF2DkSOc2QjTTamHOHNi8Gc6dc2K9gAoSE+HOO5W/1R3XC9D82WqxwNmz8OWXyt9Wq+vrBYqK4PPP+7aPzz6Db7+FXuRzhOgNaYYQQoh+4ujRo7bLsUEal45tP559HEIIIURfbN261ZYM8ArVkfjcDKc3QjRTe2lJfG4GOelbaNTXsmfPHt555x3mzp3b43198cUXzJo1qyVJA0TeM4q42ZPwHRzSo32pNGrC7ogn7I546ov05G8/QsnhMwDs2bOHpKQkdu/ezV133dXjOIUQwlVUKhXz5s1j5syZvPnmm6xbt478/HwAGsxWLupNXNSbur2/uLg4li5dyqJFi4iIiHBW2EJ4PPvv47rQUJeO7RcS0m4cQgghhCMVFBQwbdo0WyOELiyM4RMmoPX27tN+gwYPJjEsjEtZWdSWl1NZWcnUqVPJyckhJibGEaG3y2AwsG3bNtasWUNeXl6Hj7t27Rpff/01W7ZsASApKYn09HTmzJlDYGCg0+ITQgghRP9i/3088NbBLh07MKGlkFHyAkIIIRzFvl6AwEDXNEI002qV8V55BaqrHV4vQEoKTJ0K4eE925laDaNHK3/KyiAjA3JzARfWC3zwAVitnT5k/8iRTDt3ruMHWK3KfpYscWhoQnSkk1YjIYQQniS36cRGrYIhAa7tZRsSoEXd1Piak5Pj0rGFEEIMTGVlZTz11FO26wlP3odXoK9LY/AK9CXhyfts15966ilKS0t7tI+DBw8yZcoUW2LDK1TH6OcfJPGZ6T1uhGjLd3AIic9MZ/TzD+IVqgOgoqKCKVOmcPDgwT7tWwghXCEiIoJly5Zx4cIFdu/ezSOPPEJsbGy3to2NjeWRRx7ho48+4sKFCyxbtkwaIcRNrzkvgEqFb1CQS8f2Cw5WZrFC8gJCCCGcw2q1smjRIkpKSgClESJ+0qQ+N0I003p7Ez9pErqwMABKSkpYvHgx1i5+3O8Nq9XKpk2buOWWW0hPT7+xEUKlwsvXF29/f7x8fW2fsc3y8vJIT0/nlltuYdOmTU6JUQghhBD9T3NeQKVR4z/MtXky3bBImgsGJC8ghBDCEUpLS1vVC/Dww6DTuTYInU4Zt4kj6gUIDIT58+Gxx3reCNFWeLiyn/nzlf3ionqBnTs7vduo0bDkkUcwarqYzLmL/QjhSLIyhBBC9BPNJ1uB3mq8NK5dIttLoyLQW01lg4WysjKXji2EEGJg2rZtm22mx8h7RhE+YYRb4gifOILIe0ZRcvgMer2eN998k2XLlnVr288//5yHHnqIuro6AEJS4kh8bobDmzrCJ4wg6LZozr6yF31uPnV1dTz00EP87W9/c+g4QgjhLBqNhgceeIAHHngAgOLiYnJycsjLy6OmpoaGhgZ8fHzw9/cnKSmJtLQ0IiMj3Ry1EJ6nOS/g5eODuqsfGRxMrdHg5eNDY3295AWEEEI4xVtvvUVGRgYAWl9fhk+YgMbBs0FqtFqGT5jA2UOHMNXXs3//fjZv3szChQsdNkZBQQGLFy9m//79rW7XhYURGh2NLjQU36CgVp/lFrOZ+qoqaisqqCgspLa8HAC9Xs+iRYvYsWMHGzdudOoqFkIIIYTwfLa8QKgOtbdry700Plq8w/wxllZLXkAIIYRDbNy40VYvQEoKjBnjnkCSkpTxc3P7XC/AyJHKahOObuoYMwaGD4ft2+HcOefWC5SVwaFDnT7k4K23ciU0lI9vvZUZZ850/MBDh6C8HJomphDCmaQZQggh+gmj0QiA1k1r+miaxm1oaHBPAEIIIQaULVu2KBdUEDd7kltjueWxSZR8egassG7dOp577jk0XRQYFhYW8uCDD9oSG+GTEkh8bjpqL+d8xfIK9OW2Fx7kzIq9lGdeoK6ujscff9wpYwkhhLNFRUUxbdo0pk2b5u5QhOhXmvMCKhc3QjRTqZXEgOQFhBBCOJrBYODZZ5+1XY8dN85hK0K0pfX2JnbsWC5lZQHwzDPP8KMf/YjAphkW+yI3N5epU6faVrcACImJISohQVllqQNqjQZdaCi60FAi4uOpq6yk+Px59AUFAOzfv5/U1FQyMjJISUnpc5xCCCGE6J+a8wJqL/fkBdRaZVzJCwghhOgrs9nMunXrlCsqFUyd6t6A7r8fjh0Dq7XX9QIkJSmNEA6e2MFGp4MFC2DbNjh50nn1Ah9+CGZzpw/ZmZxs+7vTZgiTSdnf/PkODFCI9rmppFYIIURPeTf9+GOyuGd8c9O4Pj4+7glACCHEgFLQ9IN+aNpwfAeHuDUWvyEhhKYOAyA/P/+G2RvbslqtLFmyxLbUpbIihPMaIZqpvbSM+vUMQlLiAGWGSCGEEELcPJrzAtYufohwFqtFSQxIXkAIIYSjbdu2zfYdNyQmhqBBg5w6XtDgwYQ0rbKg1+vZvn17n/eZk5PD5MmTbY0QWl9fhk+cSFxaWqeNEO3xCw4mLi2N4RMmoPVVVp8sKSlh8uTJ5Obm9jlWIYQQQvRPzXkBS6N78gIWkzKu5AWEEEL01SeffMKVK1eUK4mJEB7u3oAiIpQ46F29gG1FCGc1QjTTamHOHGU8nFQvsGNHp3eb1Gp2Na3isWvMGEzqLkrQu9ifEI4izRBCCNFPREREAGAwWmg0W106dqPZisGoFD2Eu/sEVAghxIAyZMbt7g4BgCEzxtouv/32250+duvWrezZswdQlqNOfG6G0xshmqm9tCQ+NwOvEAcvrSmEEEIIj9ecF2hsaMDi4oYIi9lMY9PMj5IXEEII4UhWq5U1a9bYrkclJLhkXPtx1qxZg9Xa+5x7QUEB06ZNo7KyEgBdWBiJkyf3uakjaPBgEidPRhcWBkBlZSVTp061TTAhhBBCiJuLLS9QUYvFaHLp2OYGE8byGkDyAkIIIfrur3/9a8uVO+90XyD2Jk2yXexJvQCBga5phGim1SrjBQQ4ft+VlXDwYKcPORwfT7m/PwBl/v58Gh/f+T4PHoSqKkdFKESHpBlCCCH6ieblry1WuF7t2uTG9WoTlqbfglJTU106thBCiIFL4+dtW5HB3ULThqHxU2ZVysrK6vBxpaWlPPXUU7brCU/eh1egr9Pjs+cV6EvCk/e5dEwhhBBCuF9zXgCrlXoX/3hQV1kJTUWikhcQQgjhSNnZ2eTl5QFKE0FPV1HoLb/gYFuTwYkTJ8jJyenVfqxWK4sWLbKtCKELCyN+0iS0TTM395XW25v4SZNssZaUlLB48eI+NW8IIYQQon9qzgtYzRZqLpe6dOzayyU0FwxIXkAIIURfZWdnKxd8fGwrMrjdqFFKPPSsXoCHHwadiycy1OmUcR3to4+gsbHTh+y4vfVklzuSkzvfp9Go7FcIJ5NmCCGE6CfGjx9vu3y1yrUzQNqPZx+HEEII0Rf+I6JQaTzjK4lKo8Y/PhKAq1ev2ooY2tq4caNtpsfIe0YRPmGEy2K0Fz5xBJH3jHLL2EIIIYRwD/vv47XNy2+7SJ3dctuSFxBCCOFImZmZtsuh0dEuHdt+PPs4euKtt94iIyMDAK2vL8MnTEDj4NkgNVotwydMQOurTMawf/9+Nm/e7NAxhBBCCOH57L+PG74pcunYhvPfthuHEEII0RvXrl1TLkRHg9oz6gVQq5V46H69ACkpMGaMqyJsLSlJGd+Rdu7s9G6LSsUHbZ7v/yYlYVGp+rRfIRzBQ95JhBBCdGXixIm2y8eKGlw6du71lvHs4xBCCCH6IiAhyt0htBKQMMh22TYbhR2z2cy6deuUKyqImz3phse40i2PTYIu8gpCCCGEGDjsv49XFBa6dGz78SQvIIQQwpGOHj1qu6wLDXXp2H4hIe3G0V0Gg4Fnn33Wdj123DiHrQjRltbbm9ixY23Xn3nmGaqrq50ylhBCCCE8k/338dJPz7p07JJPz7QbhxBCCNEnMTHujqA1u0kTuq4XUMHUqa6KrH3336/E4QjV1bBvX6cP+XzYML4NCmp127dBQXwxbFjn+963D2pq+higEJ2TZgghhOgn0tLSGD16NACX9SauGUwuGbfQYCK/UhkrOTlZlr0UQgjhMAHxHtYMMaIlnry8vBvu37dvH1euXAEgNG04voNDXBVau/yGhBCaOsytMQghhBDCdezzArXl5dQ1zz7lZHWVldSWlwOSFxBCCOF4ubm5ygWVCt82P6g7m19wsK1oICcnp8fbb9u2DX3T6kkhMTEEDRrU+QZ9FDR4MCFNhSJ6vZ4dO3Y4dTwhhBBCeBb7vEDV6WtUX2p/xmpHq75YjOH0dUDyAkIIIRxs6FB3R9CaXTNEV/UCJCZCeLirImtfRIQShyPs2wf19Z0+ZGdyco9ut6mr67LRQoi+kmYIIYToJ1QqFfPnz7ddP3y5ziXjfmo3Tnp6OipHdZQKIYS46XkF+bk7hFa0gb62yzXtzEywZcsW2+UhM253SUxdGTJjbNcPEkIIIcSA0DYvUHz+vEvGtR9H8gJCCCEcrbS0FAAvHx/UGo1Lx1ZrNHj5+ABQVlbWo22tVitr1qyxXY9KSHBobB2xH2fz5s0uGVMIIYQQnqFtXqBwZ89XtuqNwr+3zIwteQEhhBAO5e/v7ghas4unq3oB7rzTFRF1bdIkx+xn584uH/L3Dpoe/p6U5JD9C9EX0gwhhBD9yI9+9CPb5dwiI6dLjE4d73SJkdwiZYyQkBBmz57t1PGEEELcXFReri1y6IraLp6GhoYb7s/MzARA4+ftMSsyhKYNQ+Pn7e4whBBCCOEi9nkBfUEBVUVFTh2vqqgIfUEBIHkBIYQQzmE0KvlnlYsbIZqp1MpPpe3lATqTnZ1tmyVSFxamrDLhAn7BwejCwgA4ffq0S8YUQgghhOewzwuUfHqG8q8uOnW88q8uUvLpGUDyAkIIIZxAq3V3BK3ZxdNZvQA+Po5bkaGvRo1S4umL+nrYs6fTh2TecgsFISHt3nc1NJSs2NjOx/jooy5XnhCiLzzs3UQIIURnAgICWl3fcbqaZ0JC0Hk5vretttHCjtPVtuurVq0iMDDQ4eMIIYS4eVkbze4OoRWLXTw+bRIGxcXFFDQVAvqPiEKl8Yy+cpVGjX98JFUnCwFlRs3IyEg3RyWEEEIIZ2mbF7h6/DiJYWFovR3fHGkyGrl6/LjtuuQFhBBCOIN302eY1eyeHIHVYgFuzAN0xVYAAYRGRzs0pq6ERkdTW17u0jGFEEII4Rna5gXOv/4xKa/Pxctu5WtHaTTUc/71j23XJS8ghBDC4Uwmd0fQml08ndULEB0NasfXC2jNZm779luCeto0EBYG168DULN/P5HDhvVs+6NHobq604fs7GBVCPv7J1y92vEDqqth7VoYP75nsfVVUBDcdht4ebl2XOFy0gwhhBD9WFWDlc3HDCxODcJb47jlKI1mK2/lGqhqsAIwffp0FixY4LD9CyGEEACNVXXuDqEVk6ElqeDfZknO7OyWZaADEqJcFlN3BCQMsjVDfP3114wePdrNEQkhhBDCVUz19VzKyiJ+0iQ0DpxFy2wycSkrC1PTjy6SFxBCCOEsERERXLt2jcaGBixmM2oXrhBhMZtpbJrpMTw8vEfbHj161HZZFxrq0Li64tfBTIxCCCGEuPkYy2s4/dIuxvz+h2h8HVfkZ65v5NRLH2AsrwEkLyCEEMJJamrcHUFrdvF0Vi9ATIxDh1VbLPz7J5+w7NAhdI2NfdvZ3LmOCaqN7jRDrNi7t/Od/OpXDoyoB/z8YNky+Pd/BzetTCqczzOmMxVCCNFrl/UmNuZUUdtoccj+ahstbMiuIr9S6XaNjIxkw4YNqFSOa7YQQgghAKovFrs7hFaqL7TEk5SU1Oq+kydP2i4HxHtYM8SIlnhOnz7txkiEEEII4Q615eVcPHIEk9HokP2ZjEYuHjlim3Fa8gJCCCGcKSUlRblgtVJfVeXSsesqK8GqTAiUmprao21zc3OVCyoVvkFBjg6tU37BwSCfy0IIIYRoUnX6Gid/+3caDT2cRboDjYZ68n67E8NpZYZpyQsIIYRwmmvX3B1Ba4WFtoud1QswdKhDh331ww/5/YEDfW+EcJLcoUO51MUkEhcjIjg2ZIiLIuqhujr4j/+Ap592dyTCiaQZQgghBoDLehOrjug5XdK3wofTJUZWHdHbGiGCg4PJyMggxsEdrUIIIQRA9XkPa4Y4/63tclpaWuv77JaF9Aryc1lM3aG1W/66trbWjZEIIYQQwl1qy8s5e+gQVd9+2/WDO1FVVMTZQ4dsjRCSFxBCCOFs48ePt12urahw6dh1en27cXRHaWkpAF4+Pi5dzQJArdHg5ePj0jGFEEII4dmqTl8j9+dbKT96qU/7Kf/qIrk/32prhJC8gBBCCKcqKHB3BK3ZNUN0Vi9Am1Uj+mJEaSlPfvmlw/bnDF2tCtHTx7nNmjVw/ry7oxBOIs0QQgjRz0VERABQ1WDlrWMG3j1hoNBg6tE+Cg0m3j1h4K1jBqoalJmwIiMjOXz4cMvMXEIIIYSD1Vwoxmp2zMpGfWU1W6i5WAJAbGwskZGRre432s20rPLyrKUT1XbxGB00I3RnTPX1FGdnY6p3zCxTQgghhOib5ryAqb6eS5mZ5GdnKzNd90BdZSX52dlcysqyfcZLXkAIIYQrTJw40Xa5wq7owBXsx7OPozuav3+rXNwI0Uyldt9PvJIXEEIIITxLc17AWF7Dqd99wNmV+3q8Mnf1xWLOrtzHqd/vwlheA0heQAghhPMMbV5ZobAQLJ5RL4DFYmuG6KpeAK3WYcOOu3YNTdOqlZ6q280Qt9/u5Ej6yGyG48fdHYVwEmmGEEKIfu7jjz9m2rRptuu5RUZWZ1by+j8r+eJqPVcqG2k0tz5pajRbuVLZyBdX63n9n5Wszqwkt6jlpG3atGnk5OQwbtw4Vz0NIYQQNyFznZGKnMvuDgOAiuzLmOuUz8IJEybccL+3t7ftsrXR7LK4usNiF499nM7yxbPP8vHcuXz53HNOH0sIIYQQXWubF9AXFHDu8GG++ewzSi9epKa8HIu59fmLxWympryc0osX+eb//o9zhw+jt5uFS/ICQgghXCUtLY2kpCRAWemopw19vVVXWWlbCSk5OZnU1NQebd/8/dtqdk+OwOrGYhHJCwghhBCepW1eoOTTMxx7ajvHf/0e1/Ycw3D2OuaG1pMpmhtMGM5e59qeYxx/7j2OPbWdkk/P2O6XvIAQQghnsq260NAAZ8+6N5hmZ84o8dB1vQCmnk1S3BmtpzSDdODkoEGcGTSoW489PWgQp6KinBxRHzU2ujsC4SSOa1ESQgjhFkOHDmXv3r1s3ryZZ555Bn3T0t75lSbyK5WTL7UKAr3VaNRgtoDBaMHSTlNpSEgIq1atYsGCBahUKhc+CyGEEDer63u/JuyOeHeHwfW9LTMAzJ8//4b7AwICbJcbq+pcEVK3mQwtMzHqdDqnjlVbVEThoUMAFPzjH9R++y26biY/hBBCCOEcHeUFasvLbUWeqFR4+figUquxWiw0NjRAO7NNSV5ACCGEq6lUKtLT00lPTweg+Px54pqLIpyo+Px52+X09PQef+5FRERw7do1GhsasJjNqF24QoTFbFY+y91A8gJCCCGE5+koL2A4fR3D6evKg9QqvMP8UWs1WExmZfWHdgoGJC8ghBDCFX784x+ze/du5cqXX8Lo0e4NCODIEdvFruoFqKlx2LAHRo6kUa3Gy0ObItb3cCXN9RMn8tqHHzopmj7SamHqVHdHIZxEVoYQQogBQKVSsXDhQq5cucLatWttM2k1s1ihssFCeZ2FyoYbGyGSk5NZu3YtV65cYeHChZLYEEII4XSxsbEAVGRfor5I79ZY6q7rbStUxMXFtZpBqdmYMWNsl3u6vLSzVV9oiWe0kxNFVz/5pPX1jz926nhCCCGE6J6u8gJYrTTW12OsraWxvv6GRgjJCwghhHCnOXPmEBISAigrHFUVFTl1vKqiItuKSCEhIcyePbvH+0hJSVEuWK3UV1U5Mrwu1VVWttvU6AqSFxBCCCE8U5d5AYsVY2k19UWVGEurb2iEkLyAEEIIV/r+979PXFyccuXsWSgrc29ApaW2FSq6Uy/AtWsOG7pCp+PXM2c6bH+OlDt0KGsnTerRNmvuvJPcoUOdFFEfvfIKhIa6OwrhJLIyhBBCDCCBgYEsXbqUJUuWkJOTQ2ZmJkePHiUnJ4eysjIaGhrw8fEhPDyc1NRUxo8fz8SJE0lNTZWEhhBCCJeaO3cuf/zjH8EK+duPkPjMdLfFcuXdI9CU91+6dCmadmZzTLOblbL6vIc1Q5z/1nb59ttvd+pYVw8evOF6Yi+KRoQQQgjhHJIXEEII0R8FBgaycuVKFi1aBMDV48dJDAtD6+3t8LFMRiNXj7esDrlq1SoCAwN7vJ/x48ezZcsWAGorKtC58Mf0uqbZnt1B8gJCCCGEZ5O8gBBCiP5Ao9GwZMkSli9frjT7Z2TAY4+5L6ADB2yTDnSnXoCmCRYcZfX3vofKauW/9+71iBUivg0IYGdyMs898ACmHq6EadJo+M6TT/LKRx/xyNdfE+XAVTR6TauFFSvgl790dyTCiaQZQgghBiCVSkVaWlrrEzEhhBDCg8yZM4c33ngDvV5PyeEzRHxnJOETRrg8jrLMC5QcPgMos0E2F160FRUVRUxMDAUFBdRcKMZqtqDSuH+hPavZQs3FEtv1iIgIp41VX1ZGSXZ2q9tKsrOpLy/HNyzMaeMKIYQQouckLyCEEKK/WbhwITt27GD//v2Y6uu5lJVF/KRJaLSO+ynTbDJxKSsLU309ANOnT2fBggW92tfEiRNtlysKC4mIj3dIjN1RUVjosrHsSV5ACCGE6D8kL+B8xcXFZGdnc/LkSaqrqzEajXh7exMQEMCYMWNIS0sjKirK3WEKIYTHWrx4MStWrECv10NuLowdC/arL7hKXp4yPt2vF6CwECwWUDuuXuDVu+/ms/h4/mf7dhJ6uFJGuZ8fSx5+mM+GD+9zHGa1mlJ/f+hDk2SttzdP/vCHPPmv/0pETQ0aBzR4fPfSJdbv3ElYXV3PNhwxAv7nf+COO/ocg/Bs0gwhhBBCCCGEcLnw8HBWr17N/PnzATj/xscE3RaNV6Cvy2JoNNRz/o2Pbddfe+21TpsJJk6cyI4dOzDXGanIuUzYHa4rdOhIRfZlzHVGl4xV8MknWNskKqwWCwWffELCj37kkhiEEEIIIYQQQgxMKpWKjRs3kpqaSklJCbXl5Vw8coThEyY4ZIUIk9HIpawsasvLAYiMjGTDhg29ngE5LS2NpKQk8vLyqC0vp66yEr/g4D7H2ZW6ykrbcxg9ejSnT592+pjNJC8ghBBCiJuZ2Wxm7969bN26lczMTKUYtgsxMTFMnDiRefPmMX369HZnGhdCiJtVREREq3oBdu6E4cNBp3NdELW1yrhNulsvQEMDnD0Lo0c7NJyjsbGk/vKXvPG//8vjOTnd3i6sro73tm/nd1Om8Mfvfx+LA5s0+kSlojQgoE+70JjN/Psnn/Dbjz9G07R6R7c9/ji88Qb0YkVQ0f94yKteCCGEEEIIcbOZO3cuM2fOBKCxopazr+zF0mhyydiWRhNnV+yhUV8LwAMPPMDjjz/e6Tbz5s2zXb6+92unxtdd1/ced9lYVw4ebPf2qx3cLoQQQgghhBBC9ERMTAwZGRkENzUV1JaXc/bQIaq+/bZP+60qKuLsoUO2JoLg4GAyMjKIiYnp9T5VKhXp6em268Xnz/cpxu6yH6e3q1r0luQFhBBCCHEzKi0t5eWXX2bEiBE8+OCD7Nixo1uNEAAFBQXs2LGDWbNmMWLECF5++WVKS0udHLEQQvQf9vUCGAywfTuYXFMvgMkE27ZBdTXQ83oBvvzSKWEZfH2Z+5Of8Pijj2Lw8en2dhqrld8fOMA/1q8nRq93SmyuFqPX84/16/ndwYM9a4QICICtW5U/0ghx05BmCCGEEEIIIYRbqFQq1q9fT2hoKAD63HzOrHB+Q4Sl0cSZFXvRH7sCQGhoKOvXr+9yNsjp06cTFxcHQEX2JeqL9E6Nsyt11/VU5Fx2yVgNej3f/vOf7d5XlJWFsbLSJXEIIYQQQgghhBjYUlJSOHToEJGRkQCY6uu5lJlJfnY2dT387llXWUl+djaXsrIw1dcDyooQhw8fJiUlpc+xzpkzh5CQEAD0BQVUFRX1eZ+dqSoqQt9UeBcSEsIjjzzi1PHsSV5ACCGEEDcbq9XKli1bSEhIYPny5eTn57fc6eMD8fHwve/Bo4/CT38KS5Yofz/6qHJ7fLzyuCb5+fksX76cW2+9lS1btmDt6ezWQggxALWtF+DcOaVBwdkNEc2NEN98A/SuXoCzZ6GszGkhbktLI/Wppzjaw4kc7r54keN/+hM/OHHCSZG5xr+eOMHxP/2J71261LMNx4+H3FxlVQhxU9G6OwAhhBCiP7FarWRnZ5OZmcnRo0fJzc2ltLQUo9GIt7c3ERERpKSkMH78eCZOnEhaWlqvl1oXQoibQXR0NLt372bKlCnU1dVRnnmBUy99SOJzM/AK9HX4eI2Ges6u2GNrhNDpdOzevZuhQ4d2ua1Go2HJkiUsX74crJC//QiJz0x3eIzddeXdI+CAXHlVfj4n/vIXGjopXDBWVmLtIOlkNZn4x+LFeDfN3Nken+Bgkn/xC4Kak0NCCCGEEP2U5AWEEML5UlJSyMnJYfHixezfvx9Qmg30BQXowsIIjY7GLyQEv+Bg1BqNbTuL2UxdZSV1ej0VBQXUVlS02u+0adPYuHFjn1aEsBcYGMjKlStZtGgRAFePHycxLAytt7dD9m/PZDRy9XjL6pCrVq0iICDAIfuWvIAQQgghxI3mzJnDQfsVsFQqSEyEO+9U/lZ3Mv9wWpryt8WiFMt++aXyt9WKXq9n/vz5vP/++2zYsKFbv08JIcRA1rZegJMnYfNmmD0bdDrHD1hb26oRovf1AlbIyIDHHnN8jE3OR0Zy55NP8sf9+3nu00+7vV1YXR3/u3UrayZN4plZs6j38nJajI7m29jInz78kJ9lZvZ84+eegz/8AZyQlxGeT5ohxE3H/gfLzz///Ib777nnHu644w75wVII0YrBYGDbtm2sWbOGvLy8Dh937do1vv76a7Zs2QJAUlIS6enpzJkzh0BZeksIIdp11113sWvXLh566CHq6urQ5+aT8+QWEp68j/AJIxw2TlnmBc6/8TGN+lpASWzs2rWLu+66q9v7WLx4MStWrECv11Ny+AwR3xnp0Bi7qyzzAiWHzzhkX6c2bCB/374+7aP85MkuH6Px8WHiH//Yp3GEEMIRJC8ghOgNyQsIIYRrxcTEsHfvXjZv3swzzzyDXq8HoLa8nNrycuVBKhVePj6o1GqsFguNDQ1KMUIbISEhrFq1igULFjj8vG7hwoXs2LGD/fv3K6tYZGURP2kSGq3jfoI1m0ytVreYPn06CxYsoLS01CH7l7yAEEIIIcSNWjVCpKTA1KkQHt6znajVMHq08qesTCmazc0FYM+ePSQlJbF79+4e/U4lhBADUdt6Ac6dg5Ur4eGHYcwYxw2Ulwc7d0J1NdD3egFyc2HsWMfG2EajVsuvH3iAj2+9la3vvcegpti7I/3IEb538SKPzpnDycGDnRajo4wpKuK9bdtI+vbbnm04aBBs3Qr33++cwES/0EmbqhADi8FgYO3atdx+++3ccccd/OIXv+Cvf/3rDY87deoUW7Zs4Re/+AV33HEHt99+O2vXrsVgMLghaiGEu1mtVjZt2sQtt9xCenr6DQUPahUE+6gJ91MT7KNG3ea3tLy8PNLT07nlllvYtGmTLHcphBAdmDJlCgcPHrQtgdlYUcvpP3zI2VX7qC/S92nfddf1nF21j9N//NDWCBEaGsqBAwe47777erSviIgIVq9ebbt+/o2PaTTU9ym+nmo01HP+jY8dtr+h3/ueMqORM6lUyjhCCOFGkhcQQvRGV3kBVCq8fH3x9vfHy9f3hvMqyQsIIUTvqVQqFi5cyJUrV1i7di1JSUmtH2C10lhfj7G2lsb6+hsaIZKTk1m7di1Xrlxh4cKFTmlwValUbNy4kcjISEBp1rh45Agmo9Eh+zcZjVw8csTWABIZGcmGDRsc+lwkLyCEEEII0YHAQJg/X5n1u6eNEG2Fhyv7mT9f2S9QUVFh+31MCCFudm3rBTAY4O234d13lYayvigtVfazZYutEcJR9QLs3KmsNuFkBxITuf1Xv2L/yJE92i7p22/56rXXWHLkSLsTSHgEq5WlX37JV6+91vNGiKlT4fhxaYQQsjKEGPisVitvvfUWzz77rG3mIHtqFQR6q9GqwWQBg9GCxe59v/kHy+XLl7Ny5UqnJcyFEJ6noKCg1VLszYaFaBk32IfYIA1DArR4aVreExrNVq5Xm7haZSb3egP5lcrS4Xq9nkWLFrFjxw6HLsUuhBADyV133cWJEydYsmQJe/bsAaDk8BlKPj1DaOowhswYS2jaMFSarnu6rWYLFdmXub73OBU5l8Hu/G7mzJl9Wnp47ty5vP/+++zZs4fGilrOvrKX2154ELWX879eWRpNnF2xx9bU4Qi3TJ3KvcHBHPl//4+64mKH7beZX1QUd/7XfzFowgSH71sIIbqjq7yAbUZhjQar2XzDjMKSFxDi5tVRXkAXFkZodDS60FB8g4JQazS2+yxmM/VVVdRWVFBRWGgrXpW8gBBC9F5gYCBLly5lyZIl5OTkkJmZydGjR8nJyaGsrIyGhgZ8fHwIDw8nNTXVtsJXamqqS87bYmJiyMjIYPLkyVRWVlJbXs7ZQ4eIHTeOoEGDer3fqqIirh4/blsRIjg4mIyMDId/hkheQAghhBCiHSNHwuzZoNM5dr9jxsDw4bB9O5w7R11dHQ899BAHDx6UFSKEEDe99uoFyM2FY8cgMREmTYJRo5SVd7piscCZM3DkCJw92+p3H0fWC2AwKO/pCxaAA1eJbE9xYCAz5s3j6Vdf5eXSUry7uZ2fycS6v/+d+8+dY9GPfkSFoz/b+iC0tpZNf/sb/9qNFSdb8fKCl1+Gp5/u3utBDHjSDCEGNClkFkL01okTJ3j00UcpKSmx3ZYy2Jt7hvkxNLDjj08vjYpbgr24JdiLu2J9KTSY+PRyHblFykxg+/fvJzU1lYyMDFJSUpz+PIQQor+Jjo5m9+7dbN26laeeeorKykqwQkX2ZSqyL6Px88Y/PpKAhEEEjIhCG+iL2kuDpdGMyVBP9YViqs9/S83FEsx1rWdhDAkJ4bXXXuPxxx/vUzGESqVi/fr1JCcnU1FRgT43nzMr9jLq1zOc2hBhaTRxZsVe9MeuAMrzabeotxcGT5zI9L//naznn6fw8GGH7BMg+p57mPCHP+DbPIOHEEK4mBQyCyF6q728QEhMDFEJCfgFB3e4nVqjQRcaii40lIj4eOoqKyk+fx59QQEgeQEhhOgLlUpFWloaaWlp7g7lBikpKRw6dIipU6dSUlKCqb6eS5mZ3frsaKvtZwcoK0IcOHCAcePGOSF6yQsIIYQQ4uZ2/fr11jckJSmNEM4qatXplKLZbdvg5Enq6uqYNWsWeXl5vS7MFUKIgaL9egGr0thw5gz4+EB0dMsff3/l/dpkgpoaKCxs+dPQ0GrfzqoX4Nw55T19zhznNkSYTFjffZc/lZbyKfBXtZoRFku3N/9hXh53XL3K7Mce47P4eOfF2U3fvXiR7e++S2xlZc82TEiA994DD8wPCfeRZggxYOXm5tqSzs2kkFkI0V3/+q//SlVVFQBBPioeGR3A6Mju9tS2iA7U8lhyICmDjew4XU1Vg5WSkhImT57MoUOH5H1EuERxcTHZ2dmcPHmS6upqjEYj3t7eBAQEMGbMGNLS0oiKinJ3mELYqFQq5s2bx8yZM3nzzTdZt24d+fn5AJjrjFSdLKTqZGG39xcXF8fSpUtZtGgRERERDomxOQkzZcoU6urqKM+8wKmXPiTxuRl4Bfo6ZAx7jYZ6zq7YY2uE0Ol0vPPOO8yaNcthY/iGhvK911/n3LvvkrtyJRajseuNOqD29ibl2WcZ+dhjMnu6EMJt2ssLSCGzEKK77PMCWl/fXs/u7RccTFxaGqHR0bbZvSUvIIQQA1NKSgo5OTmtmnH1BQXoCwpszbh+ISH4BQff0IxbV1lJnV5PRUEBtRUVrfY7bdo0lzTjSl5ACCEUBoOByMhId4chhHARq9XKs88+23JD84oQTp7dG61WKZrdvBnOnaOiooInnniC3bt3y/mTcDipFxD9TWf1AjQ0wMWLyp9uckW9ACdPKu/pzlhVCKC2Vmm4+OYbAE7rdJzbvJnPf/xj5vVgN7GVlRxat46X7ruPP3z/+5jt8hOuojGbeeHjj3n+k0/Q2K3Y0S3z5sFf/gKBgc4JTvRb0gwhBqScnBzuvfdepTMQKWQWQvRcc8HDsBAtC8YFovPq25JaoyO9eSYkhM3HDFzWm6isrGTq1Knk5OTIjLLC4cxmM3v37mXr1q1kZmZSYDeLXEdiYmKYOHEi8+bNY/r06Wjc8IVHiLYiIiJYtmwZzz33HPv27WPLli1kZWVx9erVLreNjY1lwoQJzJ8/n2nTpjnlNX3XXXexa9cuHnroIerq6tDn5pPz5BYSnryP8AkjHDZOWeYFzr/xMY36WkBphNi1axdjx4512BjNVCoVibNnE5WWxhfPPUdVD5JIzYLi47lr5UpCExMdHp8QQnRX27yAFDILIXqqOS+gCwtj+IQJaL17nle0FzR4MIlhYVzKyqK2vFzyAkIIMUDFxMSwd+9eNm/ezDPPPGNb0bG2vNy24hgqFV4+PqjUaqwWC40NDcosl22EhISwatUqFixY4LKCOMkLCCFuFnl5eaxbt+6GlSQBRowYwciRI5kyZQpLly4lKSnJDREKIVxl69atHDx4ULkSGOiaRohmWq0y3iuvQHU1e/bs4Z133mHu3LmuGV8MWFIvIAaK/lYvwLlzsHIlPPwwjBnjuIHy8mDnTqiuBlrXC0QBB4G1QHfbAzRWKy8ePMi9588z5yc/4aoLV3OMrahg+//8D9+9dKlnGwYEwLp1yuemEO1QWa09ba0R7lBSUnJDB2ZxcbHMSNCOgoICUlNTbTM/OqqQGaC20WIrZAZlWWL5wbJ98pp1DjmuztHecQXl/WNxahDeGsf90GQ0W9mYU2V7H5k2bRp79+4dsLM7yGvWOTo6riqVio0bN7J+/fqWrvheiIuLY8mSJSxevNhhXfH9gbxencfRx7a4uJicnBzy8vKoqamhoaEBHx8f/P39SUpKIi0tzaX/bl988QWzZs1SlsBsEnnPKOJmT8J3cEiv91t3Xc+Vd49QcviM7bbQ0FB2797NXXfd5fTXrKmujgOPPYb+3LlubxMyciT3v/suWj8/h8TgDvJeIDyVvDa7r21ewFGFzAAmo9FWyAySF+iIvF6dR46tc3SUF9CFhRE/aRIaBxZBmE0mLh45YnsfkbyA6A05rs4hx9V5btZjazAY2L59O2+88QZ5eXnd3i45OZn09HRmz55NYCczHUpewDlu1ter8Hzy2nSMCxcukJ6ezoEDB7q9zf3338/atWuJj493YmQDi7xenUeOrWOVlpaSkJBgm1CF+fMdW7zaXXl5sGULoDTEfvPNNwPiN1p5vTqP1As4h7xmncMZx7U/1AuQkgJTp0J4eO93XFoKBw5Abq7tpo7qBUYA7wL/0sMhKvz8mLpoEV/dckvv4+ymO65cIePNNwmtq+vhhnfA//wPjHDchJSdluRHcAABAABJREFUkfeC/klWhhADitVqZdGiRa0aIRxZyKzzUrM4NchWyFxSUsLixYsH9A+WQtysgnxULBgX6NBGCABvjbLfVUf0VDVY2b9/P5s3b2bhwoUOHUfcfN577z1eeOGFlmRdE42fN/4joghIiCIgPgqvID9UXhqsjWYaq+qovlhM9fliai4UY64zApCfn8/y5ctZsWIFq1evZu7cufI5JzxKVFQU06ZNY9q0ae4OBVBmfDhx4gRLlixhz549AJQcPkPJp2cITR3GkBljCU0bhkrTdXOu1WyhIvsy1/cepyLnMti1rs+cOZMNGzYwdOhQJz2T1lRqNdWFhT3aprqwEJXMFCOEcKO2eQFHFzJrvb2JnzTJVsgseQEhBi6try/DJ0xwaCMEgEarZfiECZw9dAhTfb3kBYQQYgALDAxk6dKlLFmyhJycHDIzMzl69Cg5OTmUlZXZijXCw8NJTU1l/PjxTJw4kdTUVI84t5S8gBBioNmwYQNPP/00tbW1tts0Xt4MGXk7g29NxkcXSEOtgaJvTnD93NeYG5XfTA4cOEBycjKrV69m8eLF7gpfCOEEGzdubPltNSXFPY0QAElJyvi5uej1et58802WLVvmnlhEv9VRvQA+PhAdDTExMHQo+Psrq5KYTFBTA9euQUEBFBZCQwMg9QLC8/WHegFyc+HYMUhMhEmTYNQoUHdjMm+LBc6cgSNH4OzZVitJdlYvcAH4DqD/+c/Rvf56t2MPratjz1tvMfbpp7keHNzt7XpqSGUle956q+eNEL/5Dfz+9+CACc/EwCbNEGJAeeutt8jIyACkkFkI0TePjA5wyIoy7dF5qXlkdABvHTMA8Mwzz/CjH/2o01m+hOjK//f//X8tV1QQmjacITNuJzS18wLsqMmjgaYC7JzLXN/7NRXZl8AKer2e+fPn8/7777u0AFuI/ig6Oprdu3ezdetWnnrqKSXRaIWK7MtUZF9WGpPiIwlIGETAiCi0gb6ovTRYGs2YDPVUXyim+vy31FwssTUmNQsJCeG1117j8ccfd2mi8fqXX2KqqenRNqaaGoq+/JLoe+5xTlBCCNEF+7yAFDILIfoidtw4h6wo0x6ttzexY8dyKSsLkLyAcB6r1Up2dratADs3N5fS0lKMRiPe3t5ERESQkpJiK8BOS0uT4gYhnEClUpGWlkZaWpq7Q+kRyQsIIQaSl156id/+9re26yFD4vju40+TOnM2voE3Fn3VGyrJ2bOdz955Ff31fGpra3niiSf49ttvef75510ZuhDCScxmM+vWrVOuqFTK7N3udP/9StGs1cq6det47rnn0EiTqeiB1vUCKqUA+847lb87K8Bu/p5isSiF119+aSvAlnoBIbqv/XoBq9LYcOZMS2NS85+2jUmFhS1/mhqTmnW3XqARqPntb9HNmgVz58K333Yr9siaGh49doxX7767L4egUz85dozInuQYBg2Cd96BKVOcFpMYWKQZQgwYBoOBZ5991nZdCpmFEL2VMtib0ZHO7SgdHelNymBvcouM6PV6tm/fztKlS506prg5RN4zirjZk/AdHNKj7VQaNWF3xBN2Rzz1RXrytx+h5PAZAPbs2UNSUpJtqT0hRPtUKhXz5s1j5syZvPnmm6xbt862BK25zkjVyUKqTnZ/RsW4uDiWLl3KokWL3LIE7dWDB3u9nRQ9CCHcoW1eQAqZhRC9FRITQ9CgQU4dI2jwYEJiYtAXFEheQDicwWBg27ZtrFmzhry8vA4fd+3aNb7++mu2bNkCQFJSEunp6cyZM0c+04QQkhcQQgwYGzZsaNUIMeGRJ5j+y//CRxfQ4Ta+gcHc+Wg6aQ/OZd/qZWTt2ADACy+8QFRUFE888YTT4xZCONe+ffu4cuWKciUxEcLD3RtQRIQSx5kz5Ofns3//fmbOnOnemET/lJKiNPf09DWtVsPo0cqfsjLIyFBmtkfqBYTors7qBWhogIsXlT/d1Ot6gfvvh6+/hnnzYP/+bm0yvqCg+/vvhbSe7H/6dHj7bYiKclo8YuBxTqW4EG6wbds29Ho94NpCZsD2g6UQon+y2i0pBnDPMD+XjHu33Thr1qy5IQ4hesIrVMfo5x8k8ZnpPW6EaMt3cAiJz0xn9PMP4hWqA6CiooIpU6ZwsJc/ggpxM4mIiGDZsmVcuHCB3bt388gjjxAbG9utbWNjY3nkkUf46KOPuHDhAsuWLXNLI4SlsZHCQ4d6tW3BP/6BpbHRwREJIUTX7PMCrixkBskLCNHftf0+HpWQ4JJx7ceRvIBwBKvVyqZNm7jllltIT0+/sRFCpcLL1xdvf3+8fH2VmSLt5OXlkZ6ezi233MKmTZvkNSnETUzyAkKIgeLChQs8/fTTtuszfrWCHyx/vdNGCHs+ugB+sPx1Zjz937bbnn76aS72oIhNCOGZmpvCAWX2fE8waZLt4ttvv+2+OET/FBgI8+fDY4/1vbknPFzZz/z5yn6RegEhesIj6gWiomDPHvjTn8DLq8uHf+vkiVG6tX8vL3j1VfjoI2mEED0mK0OIAcFqtbJmzRrbdVcWMucWGQHlB8slS5bIMuJC9EPHjx+3XR4WomVooGs+HqMDtcQFa8mvNHHixAlycnL63VLponuKi4vJzs7m5MmTVFdXYzQa8fb2JiAggDFjxpCWlkZUD07kMzMzW10PSYkj8bkZeAX6OjTu8AkjCLotmrOv7EWfm09dXR0PPfQQBw8elBkfhOgGjUbDAw88wAMPPAAo7wU5OTnk5eVRU1NDQ0MDPj4++Pv7k5SURFpaGpGRkW6OWvHtP/+Jsaqq3ftivv99xj3zDMdWrqTgH/+44X5jVRXffvUVQzzlxwMhxE2hbV7AlYXM+qbZbCQvIET/ZZ8X0IWF4Rcc7JJx/YKD0YWFUVteLnkB0WfXrl1j7ty57G8z25suLIzQ6Gh0oaH4BgWh1mhs91nMZuqrqqitqKCisJDa8nJAafJbtGgRO3bsYOPGjcQ0Nf8JIW4ekhcQQgwU6enp1NbWAsqKEN+d88te7ee7jz9N2dULZO3YQG1tLT/72c/IyMhwYKRCCFez/d7q46OsyOAJRo1S4mloIKtpRVoxMDi7XoCRI2H2bNDpHBv4mDEwfDhs3w7nzkm9gBA95PZ6AbUann4aDAb4j//o9KFH4uIcN247Mm+5pesHPf88/PKXTo1DDFzSDCEGhOzsbNssV1LILIToqezsbNvlcYN9XDp2yhAf8itNgPKFVd5DBgaz2czevXvZunUrmZmZFHRjubeYmBgmTpzIvHnzmD59Ohq74gR7hYWFzJ0713Y9fFICic9NR+3lnM8+r0BfbnvhQc6s2Et55gXq6uqYNWsWeXl5DB061CljCjFQRUVFMW3aNKZNm+buULp0tZ1ZXdTe3qT95jck/PjHqFQqvvvnP/PNe++Rs2IFFqPxhu2l6EEI4Ur2eQEpZBZC9JR9XiA0OtqlY4dGR9sK0CUvIPrivvvuo7S01HY9JCaGqISETj8T1RoNutBQdKGhRMTHU1dZSfH587ZGv/3795OamkpGRgYpKSlOfw5CCM8heQEhxEBw4sQJDhw4AEDIkDim//K/+rS/6b/8L85+kYH+ej4HDhwgLy+PpKQkR4QqhHCx4uLilt9vo6OVYlFPoFYr8Vy8yNWrVykpKfGYSbREz7iyXoCkJKURQuukWjmdDhYsgG3b4ORJqRcQog/cVi/wySed3l2n1bJ31CinhrB31CjqtVp8TaaOH/SPf8Bvf+vUOMTA5SFnc0L0jX3HqzsKmduLQwjRfxw7dsx2OTao/S+UzmI/3tGjR106tnC80tJSXn75ZUaMGMGDDz7Ijh07upXYACgoKGDHjh3MmjWLESNG8PLLL7cqYgBlxuMlS5ag1+uB5hUhnNcI0UztpWXUr2cQkqJ0gldUVPDEE09gtVqdOq4Qwj0sZvMNMzsGjxjBtL/+lVsffdQ247lKpWLkT37CtL/+leARI1o9vuCTT7CYzS6LWQgh7L+Pu6OQub04hBD9h31eQBca6tKx/UJCbJclLyD6ojmHoPX1ZfjEicSlpfW4OdAvOJi4tDSGT5iA1ldZfbKkpITJkyeTm5vr8JiFEJ5J8gJCiIFi/fr1tsvfffxpfHQBfdqfjy6A7z7+y3b3L4ToX+wnRcDTVsKzyzW2ilP0C66uF7CtCOGsRohmWi3MmaOMh9QLCNGvfPstfPZZpw/JSEykxse5NbfVvr5kNL2HdOizz6C42KlxiIFLVobox9qe8NzMPv/8c9tldxYyf/755/zbv/2bS8f3VO29PuU123dyXJ2juehBrYIhAa79aBwSoEWtAosV/vnPf1JSUuLS8Z3tZnnNWq1W/vrXv/L8889T1Wb5eI2fN/4joghIiCIgPgqvID9UXhqsjWYaq+qovlhM9fliai4UY65TZlDLz89n+fLl/Pd//zcvvfQSP26abe29995jz549AHiF6kh8bobTGyGaqb20JD43g5z0LTTqa9mzZw9vvPEGP/7xj10yvivcLK9Xd5Bj6xzOOq51RUXUl5XZrsc8+CAj09Np9PVt/3MqNJS0N97g7BtvULh7NwD1ZWUUnDqF3+DBfY7H1eS1KfoTeb22sM8LuLOQWfICCvnsdx45ts5ha4ZQqfANCnLp2H7BwaBSgdUqeQHRbR0dQ11YmNLI4O3dp/0HDR5MYlgYl7KyqC0vp7Kykvvvv5+PP/54QM/6KK9X55Fj6xySF3AOeW2K/kRer53bv38/ABovb1JnznbIPlNnzmHvq7/B3Ghk//79A+783VHks9955Ng6RlZWVssVT/uO02bilf68guTN9HrtrF4AHx/l3zUmRnm9+fsrzQUmE9TUwLVrUFAAhYXQ0AB0r16AwEDXNEI002qV8V55BaqrpV5AdJscV+fpzrH1fecdArtoXNqRnOzQuDoc5/bbeejUqY4fYLFgeOcd6u1Xv3EDeX32TyqrtOj1CyUlJURFRbk7DI+nVsEfJofhpVG5bMxGs5XnD5Vjkf9JQvR7wT5qnv+eawunAP7wfxVUNlhcPq5wIhWEpg1nyIzbCU0dhkrT9WJcVrOFipzLXN/7NRXZl6CLz5XRzz9I+IQRnT/ICcoyL3D6jx+6fFwhhOuogKVDhxLn68uOkhKOGgzd3vaOwEAejozkcn09669d6+qtrN8oLi6WpaiF20leoJtUKpJnzkTdwRLizmAxmzmxZw9Iik2Ifs/L15fbpk51+binMjJorK93+bhiYNGFhRE/aRIaBxZBmE0mLh45Qm15ucP2KYTwfJIXuJHkBYQnkLxA78WMGc+T73zpsP29PmcShadktnYhBoyf/hRGjXJ3FC3OnIFNm9wdhegrlQoSE+HOO5W/1V3XC2CxwNmz8OWXyt9d5Zvnz4cxYxwSbo/k5cGWLa4fVwjRKxnA/Z3cb9RoiPqP/6DSz8/psQTX1VH8u9/h3clKkhnANKdH0nOSF/B8sjKEGFACvdUubYQA8NKoCPRWSyGzEAOAthvfP52hG3Xyoh+JvGcUcbMn4Ts4pEfbqTRqwu6IJ+yOeOqL9ORvP0LJ4TMdjuGORgiA8IkjiLxnVIexCSH6Pyuw9tq1Xm37lcHAVz0okhBCCEfz8vFxaSMEgFqjwcvHRwqZhRgAVC5+/7CN250fxIXohNbXl+ETJji0EQJAo9UyfMIEzh46hEk+54S4aUheQAgx0Ay+1bEz3Q4Zebs0QwgxkLhqVv3u8rR4RM+lpMDUqRAe3rPt1GoYPVr5U1YGGRmQm9vxGO5ohABISlLG7yg2IYTHCAPu7eIxH996q0saIQAq/fz4JCGB6WfPdviYe4FQoMIlEYmBRH5lEQOKFDILIfrC5KaeJrP0Ug0IXqE6Rj//IInPTO9xI0RbvoNDSHxmOqOffxCvUF3rO1UQN3tSn/bfV7c8NkmZIk4IIYQQwsNIIbMQoi+sncxI5dRxLZIYuGmoVHj5+uLt74+Xr68yU6QDxI4bh9bb2yH7akvr7U3s2LFO2bcQQgghhCv46AIduj9vvwCH7k8I4WYmk7sjaM3T4hHdFxiorNbw2GM9b4RoKzxc2c/8+cp+7alUSrOFO91/v8NyGkII53mQrmfL35ncg8Zhq5WZp06x9803Obp6NXvffJOZp071aOX0rsbzQolbiJ6SdlIxoEghsxCiLwxGC41mq0tXmGk0WzEY5U2kvwtJiSPxuRl4Bfo6dL/hE0YQdFs0ec/voOZiCQChacP73GzRV35DQghNHUZF9mW3xiGEEEII0ZYUMgsh+qKxoQGL2ezSFWYsZjONDQ0uG0+4ni4sjNDoaHShofgGBbV6fVnMZuqrqqitqKCisJDa8vIe7z8kJoagQYMcGfINggYPJiQmBn1BgVPHEUIIIYRwhoZax65YY6yrduj+hBBuVlPj7gha87R4RPeMHAmzZ4NO1/Vje2LMGBg+HNavh+bV2xIT+95s0VcREUocZ864Nw4hRKce7uJ+k1rNrm6uMhNeU8Nbf/sbD5461er26WfP8uFtt7Hw3/6NMn//Lveza8wY1u/ciaaTBoqHgS3dikqIFtIM0Y+dOnWKiIgId4fhEe655x5OnTrl9kLm2267jcOHD7tsbE9WWlrKbbfd1uo2ec32nRxX53jiiSf44IMPsFjherWJW4K9XDb29WoTlqbzu0cffZQ///nPLhvbFQbia/b69evcfffd6PV6AMInJZD43HTUXs45rfIK9MV3ULCtGWLIjNudMk5PDZkx1tYMMWvWLDZt2uTegBxgIL5ePYUcW+eQ4+oc7R1XITyV/J+/8dzM3YXMkhdQyGeU88ixdayysjK2bdvGn/70J+rq6sBqpb6qCl1oqMtiqKustM2cJXmB/uvEiRP8+Mc/prS01HZbSEwMUQkJ+AUHd7idWqNBFxqKLjSUiPh46iorKT5/vlXTQUREBH/9619Jbpo1zWq18p3vfIdvvvkGgKiEBCc9q9aiEhJscY0ePZrDhw+jGmCzQN4sr1d3kGPrHHJcnUPyAqI/kf/zHTMYDIwYMQKAom9OOHTf1899DYBKpeLChQsEBMhKEW3JZ5TzyLF1jE8++YSf/OQnypVr1yAtzb0B2SsstF187733uPfee90YTN8M1Ndr25w0SUlKI4TWSWWYOh2EhbU0Q9x5p3PG6alJk2zNEFIvIDojx9V5Oju2KoOB8NGjwWjscPtP4+O71cBwz/nzbPuf/yG6qqrd+x88dYrjf/oTc37yEw53kassDQjg0/h47r1wocPHPODtTcnp01jbrozjIpIX6J+kGaIfi4iIIDIy0t1heIQ77riDU6dOub2Q+V/+5V/k36QT8pp1DjmufTdhwgQ++OADAK5WmV36HnK1qmXm2u985zs3xb9lf37NWq1WFixYYEtsKCtCOK8RopnhmyIANH7ehKYOc+pY3RWaNgyNnzfmOiPHjh3rt/+mXenPr1dPJ8fWOeS4CnFzudn/z7c9N2u60a2FzJIX6NjN/np1Jjm2PWe1Wtm6dStPPfUUlZWVre6rrahw7XuI3XuY5AX6p5ycHH74wx/aXktaX19ix43r1WoNfsHBxKWlERodzdXjxzHV11NaWsoPf/hDDh06REpKCkePHrU1QujCwjpttnAkv+BgdGFh1JaXc/r0aa5evUqaJxUMOclAe716Ejm2ziHHVYibi/yf71hkZCQjR47k3LlzXD/3NfWGSnwD+37eVG+otDVXjBw5kuHDh/d5nzcLeb06jxzbnmvVYOBpK+DZNUPce++9A+7ftr+/Xm/ISTevCOGsRohmV68qf/v4KCsyeIJRo5R4GhqkXkD0mBxX57Ed24MHO22EANjRNPlKR7RmMy8eOMD/O3QIdScrOQBEV1XxyYYN/Oe99/K7KVMwdTJp2Y7bb++0GUJlNBKRlQXNjYtCdIPa3QEI4Qjjx4+3XbYvLHYF+/Hs4xBC9B/2P9weK2pw6di511vGmzhxokvHFj23detW9uzZA4BXqI7E52Y4vRHCqK/FWKosuew/IgqVxjNO31QaNf7xypfTq1evUlJS4uaIhBBCCHGzsT8387HLqdZWVLg0DvtCZskLCOH5CgsLmTVrFvPnz7+hEQKgwq7owBXsx5O8QP9TUFDAtGnTbK8lXVgYiZMn96oRwl7Q4MEkTp6MLiwMgMrKSqZOnUpBQQGZmZm2x4VGR/dpnJ6yH88+DiGEEEIITzRlyhQAzI1GcvZsd8g+c/Zsw9xobLV/IUT/ExUVRUxMjHKlsBAsFuWy1aoUnX/xBbz3HvzpT/DSS/Dii8rff/qTcvsXXyiP66IwtMcsFlszRGxsrBQKeyD7nDSBga5phKiuhuYcVnQ0qD2jXgC1WokHqRcQwiPt3Nnp3RaViv9NSurw/mHl5fzfmjX8+z/+0WUjRDO11crzn3zCp2vXElde3uHj/jcpCUtXK852Eb8QbXnIp6MQfTNhwgTbZSlkFkL0VPMyuQCX9SauGUwuGbfQYCK/UhkrOTmZ1NRUl4wreqe0tJSnnnrKdj3hyfvwCvR1+rjV57+1XQ5IiHL6eD0RkNBS3JGdne3GSIQQQghxs2l7bjYlXme77M5C5lGjRrl0bCFEz3zxxRckJye3/GgNpAz25jd3BjM4QOmqqi0vV1Z8cYG6ykpqm34UkrxA/2O1Wlm0aJHtx35dWBjxkyah9fZ2yP613t7ET5pka4goKSlh8eLFHD161PYYV65iAuAXEmK7bB+HEEIIIYQnWrp0qe3yZ++8SkNtdZ/211BbzWfvrG53/0KI/sdW39PQAHl58OWXSrPDn/8MH3wA2dlw/TpUVUFNjfL39evK7R98oDzuT39Stquvd0xQZ84o8dC6Dkp4hrY5aR5+GHS6jjdwFPvVS5qbeDyF3aQJUi8ghAepqYF9+zp9yBfDhvFtUFC79/3bsWMce/VVJl250qvh78zP59irr/Kj48fbvb8oKIgv4+I638m+fcrzEKKbpBlCDAjH7d44pZBZCNFdVquVTZs23fB/9/DlOpeM/6ndOOnp6ai66noVbrVx40bbTI+R94wifMKILrZwjNorZbbLAfEe1gwxoiWevLw8N0YihBBCiJuN/blZymBvvhfn6/ZCZoB//vOfLhlXCNFzBw8eZMqUKVQ0rR4T6K1i/thAHksOJMJfy6SYlmb34vPnXRKT/TiSF+h/3nrrLTIyMgDQ+voyfMIENA6eDVKj1TJ8wgS0vsrrc//+/XzyySfKnSoVvh38YOksfsHB0PQ6zcnJcenYQgghhBA9lZSUZJsQTX89n32rl/Vpf/tWL0N/PR+A+++/nzFjxvQ5RiGE+8ybN6/lyvbt8L//C0VFrR6j0qjxjgjAd0gw3hEBqDRtyuyKipTt/vM/4Z//7PtKEUeO2C7Onz+/b/sSDmefkyYlBVz1OWD/uhw61DVjdpddM4TUCwjhQfbtg7rOa992JiffcJvOaOTNv/2Nv27fTnAfG/1C6uv527ZtbHz/fXRGY7fGb6W2Fvbv71MM4uYizRCi3zMYDDz33HOtbpNCZiFEVwoKCpgxYwaLFi1q+cLaJLfIyOmSG0/EHOl0iZHcImWMkJAQZs+e7dTxRN+YzWbWrVunXFFB3OxJrhu7vtF22SvIz2XjdofWbmWMGunIFkIIIYSL2J+bqYCpI3SoVCq3FzIDrF+/HrPZ7JKxhRDd9/nnn/PQQw9R1/QD0MhwL569M4QxUS0z+KcO8cFPq+T29AUFVLUpgHC0qqIi9E0z+0leoP8xGAw8++yztuux48Y5bEWItrTe3sSOHWu7Xti0IpGXjw9qjcYpY3ZErdHg5eMDQFlZWRePFkIIIYRwrw0bNnDhwgXb9awdG/jsnVd7ta/P3nmVrB0bANDpdKxdu9YhMQoh3Cc5ORnfpsZzLBbb7UGjhxK/dDJjV/2ESX97kn/ZvJjxGxbyL5sXM+lvTzJ21U+IXzqZwNFDWnZWVwfvvw+bNoFe37uASkvh7FkA4uLimDZtWi+fmXCG1vUCKpg61XWD2xcR+/u7btzusItH6gWE8CA7d3b5kL8nJbW6PrawkOzVq/npV185NJRF//wn2atXM7bNqu5/76oZArr1PIRoJs0Qot/btm0b+qYvE5qmXgQpZBZCdCY3N5fU1FT223WQpgz2Zkp8S6H5jtPV1DZa2tu8z2obLew43bIU76pVqwgMDHTKWMIx9u3bx5Wm5d9C04bjOzjEZWNbTS3FdCov1xY5dEVtF09D05KtQgghhBDOZn9ulhjhRbhOOSdxZyGzuikfkZ+f3+p7hhDC/QoLC3nwwQdtjRBJUd4sGBeIzqt1atxXq+KBkTrb9avHj2NqZ8YqRzAZjVy1W+lW8gL9j31OOiQmhqBBg5w6XtDgwYTExADKSqcAKhc3QjRTqZX/O5IHEEIIIYQnu3DhAk8//fQNt+999Td88J8/p6G2up2tbtRQW80H//lz9r76G9ttq1evJj4+3mGxCiFcLzc3lzvuuIN6u1mvI+8exbg/z+H2FT9m6MxxBI4cjNq79ep/am8tgSMHM3TmOMaueJRxr80m8u5RLQ84exZWr4Y2BZ/dcuCAbWWJpUuXonHTdz7RPvucNImJEB7uusHtJ99x8IqUfWYXj+QJhPAQ9fXw0UedPiQrNparoaHKFauVX3z+OVl/+QujSkqcEtKokhKy/vIXfvH557bPuiuhofwzNrbzDT/6COS9RXSTNEOIfs1qtbJmzRrb9XuHu6eQeeXKlfKDpRD9RE5ODpMnT6ak6QQuyEfFwnGBPJYcyJR4PxLDvQCoarCy+ZgBo7mPS1m2YTRbeSvXQFWDst/p06ezYMECh44hHG/Lli22y0Nm3O7SsVXalkSXtdGzZhm22MXj0zQzpBBCCCGEs9mfm91ptxqEOwuZ7VelePvtt50yphCi56xWK0uWLKGiogJQVoSYnRyAVt3+6q53DPWx5QVM9fVcysrCbDI5NCazycSlrCxMTQUXkhfof9rmpKMSElwybttxrG5aicjaNGOq5AGEEEII4cnS09Opra0FYMIjT3Dfz/7Ddl/Wjg2s/lEKX773BvWGyna3rzdU8uV7b7D6Rym2FSEAEhISWLx4sXODF0I4Vdt6Ae8wf277jx+Q+Ox0AoZH9mhfAfFRJD47ndt++xDeYU0z5NfUwLp1PWuIyMuD3FxAmYx10aJFPYpDOJ99Tpo773Tt4PaNMQ7OU/WZXTySJxDCM3h/+ilUd974u7NpVYaI6mp2b97Mn3ftwqcnuUYfH/jpT6EHK+X6mM38edcuPty8mYim+HZ2tTqEwQAHD3Y/LnFTk2YI0a9lZ2eTl5cHwLAQrVsKmQHG2i1TLoTwXAUFBUybNo3KSiWxOSxEyzOTQhgdqZycqVQqHrnNH38vpSjist7ExpwqhzVW1TZa2JBdRX6l8oUwMjKSDRs2oFK1X4QhPEdmZiYAGj9vQlOHuXRsja+X7XJjVZ1Lx+6KydAyW4q/py3JKYQQQogBq/nczEejIjHCq9V97ihkHhXuxayRfvg0LVeZlZXl0PGEEL23detW9uzZA0Cgt6rTRgi4MS9QW17OxSNHHNZYZTIauXjkCLXl5YDkBfor+5y0LiwMv+Bgl4zrFxyMLizMdr2xoQGLixsiLGYzjU2zsYW7chZMIYQQQogeOHHiBAcOHAAgZEgc03/5X3x/8b/zr/++Bi9fZRIF/fV8dq94mj/cF83rcyax8/dL2P3KM+z8/RJenzOJP9wXze4VT6O/nq/stOmc/fz587ZzQSFE/9O2XiBo9FBSXp9L2Pjhfdpv2B3xpLw+l6DRQ5Ub6uth40ZoWlGwU7W1sHOn7eprr71GREREn+IRjteck8bHR1kZwpXsi41ralw7dlfs4pF6ASE8g08Xq0KA0oRw7zffcPzVV3ng9OmeDTBqFGRlwZtvwj//qVzvgVmnT3P81VeZfP58180Q0OozUojOSDOE6NdsJ5vAuME+Li9kbiaFDkJ4PqvVyqJFi2wzPAwL0bI4NQidV+uPwhBfDYtTg/DVtryPrDqi53RJ3wofTpcYWXVEb3v/CA4OJiMjg5iYmD7tVzhfcXExBQUFAPiPiEKlce3pk+6WluKC6ovFLh27K9UXWuJJSkpyYyRCCCGEuFnYn5tFB2lQtykgdnUhs7+Xiodv80ejVhMdqMzQdfXqVdv3DiGE+5SWlvLUU0/Zrj88OuCGHEB72uYFasvLOXvoEFXfftuneKqKijh76JDt/UPyAv2XfU46NDrapWO3Gs9qpb6qyqXj11VW2payT01NdenYQgghhBDdtX79etvl7z7+ND66AAD+5eFF/PJvOdw6cYrtfnOjkcJT2Rz9YDNf/s9fOPrBZgpPZWNubMkj3DpxCvcuXt7u/oUQ/UfbeoGg0UMZ8/sf4hXo28WW3eMV6MuY3/+wpSGipgZ27LB9h2qXyQTbttlm8H7ggQd4/PHHHRKPcBz7nDTR0aB2cbnl4MEtl69dc+3YXbFbAUXqBYRwPy/Ae//+Th+TN2gQP/3qKw5u3MjQnuYWFy+Go0eheeLwsWOV6z1c0WhoVRUfb9jAwq++4uSgQZ0/eNcuaGzsWZzipiTNEKJfO3r0qO1ybJBSdOCqQmZvu1XI7OMQQnimt956i4yMDACCfFQsGBeIt6b9mRejg7QsTQuyFVBVNVh565iBd08YKDT0bFbZQoOJd08YeOtYy4oykZGRHD58mJSUlD48I+Eq2dnZtssBCVEuHz8goeXEv/q8hzVDnG8pBkpLS3NjJEIIIYS4Wdifm8UEatt9jKsKmX21KhanBhHiqyQIooNa4rGPUwjhHhs3brTN9Jgy2JsxUd1fsrttXsBUX8+lzEzys7OVYvAeqKusJD87u9WKMpIX6N/sc8G60FCXju0XEtLqem1FhUvHr7Ob1XT8+PEuHVsIIYQQorsOHjwIgMbLm9SZs1vdFxYTz8I1e3jqbzlM+nE6kcNG3rBSm0qlInLYSCb9OJ1fvp/LwjV7+O7sX6Lx8m61fyFE/2JfL+Ad5s/oFx5C4+vVxVY9o/H1YvQLD+Ed1jRD/tmz8NVX7T+4uRHim28ACA0NZf369bJ6pAdqlet1x6QW9mM2N2V4CrtmCKkXEML9JgPqLvLXtxUXs/wf/0DdWbNeW8HB8Le/wYYN0HYVGH9/ZTWkv/5VeVw3qa1Wlv/jH4wu7qIOqqICDh3qfqziptX+r8ZC9BO5ubkAqFUwJKDl5dz8g+XGnCpqGq22QuaUwd7cPcyP6A4KJtpTaDDx6eU6cotamin8vZRC6jVHq7BYIScnx3FPSgjhcAaDgWeffdZ2/ZFuzAYZHaTllxOD2XGqhrNlSodpbpGR3CIjccFaUob4EBukYUiAFi+7popGs5Xr1SauVpnJvd5ww0oy06ZNY+PGjTLzYz9y8uRJ2+WAeNc3Q3iH6PCOCMBYWk3NhWKsZovLV6doj9VsoeaiMnNKbGwskZGRbo5ICCGEEDcD+3OzoUEdf7dvmxdoLmQOiYkhKiEBvx4kZOsqKyk+fx693Q9N/l4qFqcFtcov2DdD5OXlMW3atG6PIYRwLLPZzLp16wBQAVNH6Hq8j/byAvqCAvQFBejCwgiNjsYvJAS/4GDUmpZZUyxmM3WVldTp9VQUFNxQrO7r68tXX31FXFxc75+gcKvmnDQqFb5BQS4du+3nV0VhIRHx8S4bv8KuyGHixIkuG1cIIYQQoruqqqo4d+4cAENG3o5vYPvf/wcnJPHgb1YDUF9dRXnBBRobGvDy8SE8NgEf/8BWj/cNDGbwrckUnsrm3LlzGAwGAgMD29mzEMITta0XSPjFFIetCNGWV6AvCT+/j1O/36Xc8NFHcPvt4Gs3Xm1tq0YInU7H7t27GTp0qFNiEn1jn5PGHf9GAQFKgXFlpdJ8YLG4fnWK9lgstmYIqRcQwjM83I3H9KgJAuDOO+Hdd6GrfPa//Rv8y7/AY4/BkSPd3n234tm5E+6/v9v7FDcnaYYQ/VppaSkAgd7qVsXI4LxC5sRwLx65zZ8QXw2B3moqGyyUlZU5+ZkKIfpi27Zt6JtmrksZ7M3oyO7NBhniq+GnKYF8da2Bj87VUmdSTsDyK0229wa1SnkP0qjBbAGD0YKlnfO0kJAQVq1axYIFC2Q2h36mumlZUgCvID+3xBCYOISy0m8w1xmpyLlM2B2uK3ToSEX2Zcx1SqPghAkT3ByNEEIIIW4W9udmzTO2d8RZhcz2eQF79vHU1NT0+jkKIfpu3759XLlyBYDECC/CdZoutmhfR3mB2vJy2yoxqFR4+figUquxWiw0NjRAOz/gqFVgsUJ9fT15eXnSDNGPNeekvXx8Wn1+uIJao0Hr44OpoQFQXot1lZU9avLrrbrKStvrPjk5mdTUVKePKYQQQgjRU+fPn7ddHnxrcre28Q0IYuiorldtGzLydgpPZWO1Wjl//rys9CZEP2JfLxB59yjCxg936nhhd8QTefcoSj49A3V1kJsLkyYpd+blKUWdTXlOnU7Hrl27uOuuu5wak+g9+5z0DTOiu0pcHHz9NTQ0KCuOjB7tnjjsnTmjxIPUCwjhCdTADxy5Q5UKnn8efvtb0HazzHzYMPi//4Pf/Q7++Md28+S98sEHsGYNuDgXK/oXaYYQ/ZrRqBRhajtoeHVkIbOfVsUDI3XcMdTHVsjcPDF3Q9PJnRDC81itVtasWWO7fs+wnhWzq1Qq/iXal9sH+ZB7vYEvC+opqjbb7rdYobLB0uk+hg4dyunTpwly8WyBwjGaP2sAVF7uObEedO9tlH2hzAxyfe/XHtEMcX3vcdvl+fPnuy8QIYQQQtxU7M/NtOqum4wdWcjcXl7Ann08kicQwr22bNliu3xnTN9meuwqL4DVSmN9fYfbDw7QcGeMLzovFdtOKD+ev/3228ycObNPcQn3af4sUrnpx7e2DRjF588Tl5bm9HGL7QoL09PTZbIPIYQQQngk++/jPjrHrtzg7Rdgu1zfyXcAIYRnaVsvEP3weJeMG/3DNKUZAuDLLyEhAQ4eVBojmoSGhrJ7925phPBw9jnpbhcEO1pamtIMAcrryROaIexmfpd6ASHc77tAlKN2Fh2trGB0zz0931arhZdegu9/H2bPhmvX+h5PcTF8/jncfXff9yUGLGmGEP2at7cyu7upkzrkvhYyN/9gmTLEB19t6x94zE2b+fj49P5JCCGcKjs7m7y8PACGhWgZGti7jz5frYpJsb5MjPGh0GAmv9JEQZWJwioTtY1WTBYrWrUKnZeK6CAtMUFaMpveb65du8Y333xDmgt+mBaO1/xZA2BtNHfySOcJTRuGT1QQDcVVVGRfor5Ij+/gELfEAlB3XU9FzmUA4uLimDZtmttiEUIIIcTNxf7czNTeTAbtcFQhc3t5AXv28UieQAj3yszMBMBHoyIxwssh++xNXiAuWEt0oAaVSoXFasXnlIoGs5WsrCyHxCTco/mzyGp2T47Aammdy9YXFBAaHU3Q4MFOG7OqqAh9QQGgrH46e/Zsp40lhBBCCNEX9t/HG2oNDt23sa5lZnBf3741XQshXMe+XiBo9FAChke6ZNyA+CgCRw/BcPo6FBXBihWt7p85cyYbNmxg6NChLolH9J59ThqTyT1BjBoFoaFQUaGsDFFWBuHh7okFoLRUiQOpFxDCUzziqB099BBs2tT395h77oHjx+GnP4UPP+x7XDt2SDOE6JQ0Q4h+LSIigmvXrmEwWmg0W/HSdFyU0NcfLNtqNFsxGJUfnsLdeYIphOhUcwEEwLjBfS9IUqlUxDS9R3THB2dqbHFIM0T/FBDQMtNPY1WdW2JQadQMnpZM/tYvwAr524+Q+Mx0t8QCcOXdI9BU67d06VI0shSdEEIIIVzE/tysprFny+s6Oi/Qln08/u5aLl0IQXFxMQVNRdvRQRrUDp69vqd5gWZqlYroQA0X9SauXr1KSUkJkZGuKcAQjtWck25saMBiNt+wUoMzWcxmZQWjNq4eP05iWBha+wINBzEZjVw93rI65KpVqwgMdOwsy0IIIYQQjpKQkGC7XPTNCYfu+/o5ZUZulUrVahwhhGezrxeIuDvRpWNH3j1KaYawExISwmuvvcbjjz8uK+71E/Y5aWpq3BOEWg0TJ8K+fcqqxhkZ8Nhj7okF4MAB2+rKUi8ghPupgB/2dSc+PvCnP8HPfgaO+nyKiIAPPoA1a+CZZ6Avq6r//e/w2mvK+6EQ7ZBmCNGvpaSk8PXXX2OxwvVqE7cEdz3TW29/sGzrerWJ5kkfU1NT+7QvIYTzHD161HY5Nsi1X8Dsx7OPQ/QvY8aMsV2uvlhM1GT3LDk5+P5kCnYexVzTQMnhM0R8ZyThE0a4PI6yzAuUHFaWdA0JCWHRokUuj0EIIYQQNy/7c7NrVSbShvS84dlReYG2CqtaZgVLSkpy6L6FEN2XnZ1tuxzTy9UhnSU6SMtFvfJekZ2dLbPm9VPNOWmsVuqrqtCFhrps7LrKSluxgT1TfT2XsrKInzQJjdZxr3uzycSlrCxMTSsoTZ8+nQULFjhs/0IIIYQQjhYUFMTIkSM5d+4c1899Tb2hEt/A4D7vt95QaWuuGDlypDSHCtGP2P9OH3ir81bUa09gwiDbZX9/f55//nkWLVpERESES+MQfWOfk+baNXDXJJgTJsDhw1BXB7m5MHYs2MfmKnl5yvhIvYAQnmIi0Kd1hm67Dd57D5KTHRSRHZUKnnwSvvtdePRROH26d/u5dg2ysmDSJMfGJwYMaZMR/dr48eNtl69WuXZZcvvx7OMQQniW3KYvYWoVDAlwbRHEkAAt6qZm2ZycHJeOLRzHfkWP6vPFbovDK9iP+MUtS76df+NjGg31Lo2h0VDP+Tc+tl1/7bXXJFknhBBCCJeyPzcrMLhpSfIO2DdDyKpwQrjPyZMnbZeHOrjpqa+i7eLJy8tzYySiL+xzwbUVFS4du06v7/C+2vJyLh45gslodMhYJqORi0eOUFteDkBkZCQbNmyQmUuFEEII4fGmTJkCgLnRSM6e7Q7ZZ86ebZgbja32L4ToH5rrBVQaNf7DXPu7pm5YJM0FAyNGjGDZsmXy22o/1CrX27QaqVv4+8ODD7Zc37kTamtdG0NtrTJuE6kXEMIzPNyXjZcsga++ck4jhL3bb4ejR+GJJ3q/D7v3HyHakmYI0a9NnDjRdvlYUR+W0emF3Ost49nHIYTwLKWlpQAEeqvx0rj2x1ovjYpAb+WjtqyszKVjC8eJiooiJiYGgJoLxVjNFvfFcu9thI4fDkBjRS1nX9mLpdE1RYCWRhNnV+yhUa8kVB544AEef/xxl4wthBBCCNHM/tyssMqMpZ3Zsd3BYrVSaFAmTYiNjSUyMtLNEQlx86qurrZd9vfyrKJt+3hqamrcGInoC/tccEVhoUvH7mq82vJyzh46RNW33/ZpnKqiIs4eOmRrhAgODiYjI8P2GSyEEEII4cmWLl1qu/zZO6/SUFvdyaO71lBbzWfvrG53/0IIz9dcL+AVqkPt7dpJEzQ+WrzD/AGpF+jP7HPSFBaCxX31AqSlwejRymWDAbZvB5OLJg0ymWDbNmjKvUm9gBCeo1fNECEhsGMHrFsHOp2DI+qATgfr18P77yvj99TOne2umisESDOE6OfS0tJISkoC4LLexDUXzQpZaDCRX6mMlZycTGpqqkvGFUL0nLFpNjytmz7xNE3jNjS4tmFLOFZzoYO5zkhFzmW3xaFSqUj4+X1oA3wA0Ofmc2aF8xsiLI0mzqzYi/7YFQBCQ0NZv369zAYpRD9WXFzMvn37WLlyJS+++CLLly/nxRdfZOXKlezbt4/iYvethCOEEF1pPjdrMFs5W9ro5mgUZ0obaTArCdgJEya4ORohbm5Gu1nxtWrP+s5iH4/kCfov+5x0bXk5dZWVLhm3rrLS1pwwurnwwU7zTIym+nouZWaSn53d49jqKivJz87mUlYWpnplNcrIyEgOHz5MSkpKH5+BEEIIIYRrJCUlcf/99wOgv57PvtXL+rS/fauXob+eD8D999/PmDFj+hyjEMJ1mvMEai+NW8ZXa5VxJQ/Qv9kmRmhogLNn3ReISgUPPwx+fsr1c+eUBgVnN0Q0N0J88w0g9QJCeJJxwLAebmOcMIFDq1ez8tIl99QKPPIIHDsGd93Vs+0uX1a2E6IdnrVOuBA9pFKpSE9PJz09HYDDl+t4LDnQ6eN+ernOdjk9PV1O7oTwYN7e3gCY3NSc37yIgI+Pj3sCEA4xb948duzYAcD1vV8Tdke822LxCQ/gthce4utl74PVSnnmBU699CGJz83AK9DX4eM1Guo5u2KPrRFCp9Oxe/duhg4d6vCxhBDOYzab2bt3L1u3biUzM5OCbizjGxMTw8SJE5k3bx7Tp09Ho3HPDwVCCNGW/bnZlwX1jI70dnNEcORqve3y/Pnz3ReIEMKWBwAwWTxrlij7eCRP0H+1zUkXnz9PXFqa08ctPn/ednnBggX8+te/bnX/xx9/zLJly9i/fz8A+oIC9AUF6MLCCI2Oxi8kBL/gYNR25/UWs5m6ykrq9HoqCgqorahotc9p06axceNGWRFCCCGEEP3O2rVrSU5Opra2lqwdGwiPHcF3H3+6x/v57J1XydqxAVB+H1m7dq2jQxVCOFlznsDSaHbL+BaTMq7kAfo3+5w0X37ZsjqDOwQHw4IFsHatMkP6yZOweTPMnu2c2d1ra1s1Qki9gBCepSdtuhZgdWAgv87KwpyV1eljnV4rEBcHhw/DSy/BH/7Q/VV3Tp0CmbRFtENWhhD93pw5cwhpWjYnt8jI6RJj5xv00ekSI7lFyhghISHMnj3bqeMJIfqmeVY8g9FCo9m1RRCNZisGo3KyFh4e7tKxhWNNnz6duLg4ACqyL1FfpHdrPF6h/q2WftPn5pPz5BbKsi44dJyyzAvkpG9p1Qixa9cu7uppd7YQwm1KS0t5+eWXGTFiBA8++CA7duzoViMEQEFBATt27GDWrFmMGDGCl19+2bactBBCuJP9udnZ0kbKat3zQ2az0lozZ8uUFSri4uKYNm2aW+MR4mYXEBBgu1zT6FnNEPbx+Pv7uzES0Vf2OWl9QQFVRUVOHa+qqAh903l8SEgIjzzyyA2PGTp0KHv37mXTpk222EBZvaLwxAnOf/YZJ/bs4VRGBqcPHuRURgYn9uzh/GefUXjiRKtGiJCQEDZt2sTevXulEUIIIYQQ/VJ8fDyvvvqq7freV3/DB//5cxpqq7u1fUNtNR/858/Z++pvbLetXr2a+Hj3TZYlhOid5nqBxopaLEYnz57fhrnBhLG8BpB6gf7OPifN2bNQVubegAIDW9ULcO4crFypNEY4Ul4evPJKq0YIqRcQwrMEdP0QAK4C9wDPGAx051c1l9QKaLXwu9/BP/4B3c1BVnfvfF7cfKQZQvR7gYGBrFy50nZ9x+lqahudMwV8baOFHadb3lBXrVpFYKDzV6IQQvReSlM3qMUK16tdm9y4Xm2iedLH1NRUl44tHEuj0bBkyRLlihXytx9xazxX3r1x/MaKWk7/4UPOrtrX52aNuut6zq7ax+k/fkijvhZQlro8cOAA9913X5/2LYRwDavVypYtW0hISGD58uXk5+fb7tP4eROUFMPQH6Qy8lfTGPPiv5L0x0cY8+K/MvJX0xj6g1SCkmLQ+LXMqpyfn8/y5cu59dZb2bJlC1arZxUWCiFuLvbnZlYg40KtW+M5cKGW5nfFpUuXyko6QrjZmDEtc2Fdq3JtHqArhXbxJCUluTES0Vdtc9JXjx/HZHTOJD0mo5Grx4/brq9atapV0489lUrFwoULuXLlCmvXrr3xdWa10lhfj7G2lsb6+taFE0BycjJr167lypUrLFy4UFZEFkIIIUS/9sQTT/D73//edj1rxwZW/yiFL997g3pDZbvb1Bsq+fK9N1j9oxTbihAAL730EosXL3Z6zEIIx2uuF7CaLdRcdu2ET7WXS2guGJB6gf6tdb2AFTIy3BvQgQM33mYwwNtvw7vv9r1Zo7RU2c+WLbbCY6kXEMIzdefd6O/AWOAzAB8fiI+H730PHn0UfvpTWLJE+fvRR5Xb4+OVxzVxeq3A3XfDsWPwgx90/dj773fs2GLA0Lo7ACEcYeHChezYsYP9+/dT1WBl8zEDi1OD8NY47scao9nKW7kGqhqUN/Pp06ezYMECh+1fCOEc48ePZ8uWLQBcrTJzS7CXy8a+WtXSSzt+/HiXjSucY/HixaxYsQK9Xk/J4TNEfGck4RNGuDyOsswLlBw+0+H9JYfPUPLpGUJThzFkxlhC04ah0nTd/2o1W6jIvsz1vcepyLkMdt9dZs6cyYYNG2SpSyH6icLCQpYsWcKePXtablRBaNpwhsy4ndDUzt8XoiYrS/tazRYqci5zfe/XVGRfAivo9Xrmz5/P+++/L+8LQgi3sj83yy0yMnaQkTFR3l1v6GB5xa1Xj1y0aJHLYxBCtJaWlma7XGDw3GYI+zhF/2SfkzbV13MpK4v4SZPQaB33s4vZZOJSVham+nqgJSfd1SxsgYGBLF26lCVLlpCTk0NmZiZHjx4lJyeHsrIyGhoa8PHxITw8nNTUVMaPH8/EiRNJTU2VBgghBjCr1Up2drbtPSE3N5fS0lKMRiPe3t5ERESQkpJie09IS0uT9wQhRL/3wgsvMGjQIJ5++mlqa2vRX89n94qn2fvqbxh8azJDRt6Ot18Axrpqrp/7mqJvTmBubGly1el0rF69WhohhOjH7OsFDN8UEThysMvGNpz/tlUcon+zz0mTmwtjx4LdpBwuk5enjN+R3FylqDgxESZNglGjQN2N+bItFjhzBo4cUVa/sCt2lnoBITzXZeB14Oft3FcHPA2sB+W94M47lfeGzt4TmvPWFovyXvDll7b3BKfWCoSHw9//DuvWwa9+BU350FaefBKGD3fcmGJAkWYIMSCoVCo2btxIamoqJSUlXNab2JhTxYJxgei8+r4ASm2jhbdyDeRXKj9YRkZGsmHDBkkCC9EPTJw40Xb5WFEDd8X6umzs3OsN7cYh+qeIiAhWr17N/PnzATj/xscE3RaNV6DrXlONhnrOv/Fxu/f9+c9/5oUXXqCyshKsUJF9mYrsy2j8vPGPjyQgYRABI6LQBvqi9tJgaTRjMtRTfaGY6vPfUnOxBHNd61ksQ0JCeO2113j88cflM0+IfiIrK4u5c+dSUVFhuy3ynlHEzZ6E7+CQHu1LpVETdkc8YXfEU1+kJ3/7EVsz1p49e0hKSmL37t2yFK4Qwi3anpvtPF3N8NAQh+QAuqu20cJOu9UjX3vtNSIiIlw2vhCifVFRUcTExFBQUEBhlRmL1YraA77PWKxWCg3KpAmxsbFERka6OSLRV21z0rXl5Vw8coThEyag9e57g57JaORSVha15eVA73LSKpWKtLQ0ab4R4iZnMBjYtm0ba9asIS8vr8PHXbt2ja+//tpWLJiUlER6ejpz5syRVdKFEP3aE088wX333cfPfvYzDjTNpG1uNFJ4KpvCU9kdbnf//fezdu1a4uPjXRWqEMIJ7H+nL/30LENnjnPZ2CWftkxwJ/UC/V/bnDQ7dypFuTqd64KorVXGbUfregGr0thw5owyu3t0dMsff3/QasFkgpoaKCxs+dPQ0GqfUi8gRP/wFFAG/AIIAyzALuAF4GRKCkydqjQb9IRaDaNHK3/KypQVcZoasZxWK6BSwc9+Bt/9LrzwAuzapbyfhYbCL34Bv/2t48YSA47rfiEWwsliYmLIyMggODgYgMt6E6uO6Dld0rflyU+XGFl1RG9rhAgODiYjI4OYmJg+xyyEcL60tDSSkpIA5X3hmotmhSw0mGzvG8nJybLs5QAxd+5cZs6cCUBjRS1nX9mLpdE1rylLo4mzK/bQqK9t9/5HH32U8+fP8/LLLxMXF2e73VxnpOpkIdd25XDuT/s59bsPyHt+J6d+9wHn/rSfa7tyqDpZ2KoRIi4ujpdffplvvvmGuXPnSmJDiH7k3/7t32yNEF6hOkY//yCJz0zvcSNEW76DQ0h8Zjqjn38Qr1AlqVtRUcGUKVM4ePBgX8MWQohesT83MxitbD9Rjcni4KV5O2CyWNn2dTXVRmW8Bx54gMcff9wlYwshutZcYNBgtnK2tNHN0SjOlDbSYFbeMyZMmODmaISjtM1J15aXc/bQIaq+/baLLTtXVVTE2UOHbI0QkpMWQvSG1Wpl06ZN3HLLLaSnp9/YCKFS4eXri7e/P16+vkrRgZ28vDzS09O55ZZb2LRpE1ara861hRDCGeLj48nIyODEiRP8/Oc/JzExscPfPn7605+Sl5dHRkaGNEIIMQDY1wtUnb5G9aUSl4xbfbEYw+nrgNQLDCT2OWkMBti+XWkqcAWTCbZtg+rqdu/uqF6Ahga4eBE++wzeew82bYL165W/33tPuf3ixVaNEFIvIET/YgFeBKKBGCAS+GFgICfnz4fHHut5I0Rb4eHKfubPh6bJEpxaK5CUBP/7v1BSAlevKs1av/sdaDSOH0sMGNIMIQaUlJQUDh06ZJtZrarBylvHDLx7wkBhDwugCw0m3j1h4K1jBqoalARvZGQkhw8fJiUlxeGxCyGcQ6VSkZ6ebrt++HKdS8b91G6c9PR0+XI4QKhUKtavX09oaCgA+tx8zqxwfkOEpdHEmRV70R+7AigzMLQnIiKCZcuWceHCBXbv3s0jjzxCbGxst8aIjY3lkUce4aOPPuLChQssW7ZMZjYWoh+qq1M+f0JS4kh9Yx7hE0Y4dP/hE0aQ+sY8QlLibOM99NBDfPHFFw4dRwghuqPtudm5ska2fW1wekOE0ghh4JtypcA6NDSU9evXyzm/EB5k3rx5tstfFrSznLYbHLnaEodtBkExILTNSZvq67mUmUl+djZ1lZU92lddZSX52dlcysrC1LQUvOSkhRC9UVBQwIwZM1i0aBF6vd52uy4sjOjkZG793vdInjmT26ZOZfR993Hb1Kkkz5zJrd/7HtHJyejCwmzb6PV6Fi1axIwZMygoKHDDsxFCCMdJSkriL3/5C2fOnEGv1/PJJ5/c8JiXX36ZMWPGuCE6IYQztK0XKNx51CXjFv69ZeUZqRcYONrmpDl3TmlQcHZDRHMjxDffAFIvIIRoXz1QCJSPHAnPPguOPqcdM0bZ78iRgAtqBcLDISYG/Pycs38xoGjdHYAQjpaSkkJOTg6LFy9m//79AOQWGcktMhIXrCVliA+xQRqGBGjx0rR82Wg0W7lebeJqlZnc6w22Gd2bTZs2jY0bN8rsW0L0Q3PmzGH58uXo9Xpyi4ykDDYyOtLbaeOdLlHec0D5Ejp79mynjSV6r7i4mOzsbE6ePEl1dTVGoxFvb28CAgIYM2YMaWlpREVF3bBddHQ0u3fvZsqUKdTV1VGeeYFTL31I4nMz8Ar0dXicjYZ6zq7YY2uE0Ol0vPPOO8yaNavDbcrKytBoNEyYMIExY8ZQUVFBWVkZer2ekJAQwsPDCQsLw9/fn6SkJNLS0mxFG0KI/i98UgKJz01H7eWcr3tegb7c9sKDnFmxl/LMC9TV1TFr1izy8vIYOnSoU8YUQoiOtD03O1nSyOZjBmYnB6DzcvwcILWNFrZ9XW1rhNDpdOzevVve/4TwMNOnTycuLo78/HzOljZSVmsmXOe+WaNKa82cLVPeN+Li4pg2bZrbYhHO0V5OWl9QgL6gAF1YGKHR0fiFhOAXHIzabgYzi9lMXWUldXo9FQUF1Dat8tZMctJCiN7Izc1l6tSplJS0zHocEhNDVEICfk0r2bRHrdGgCw1FFxpKRHw8dZWVFJ8/j76pAWL//v2kpqaSkZEhDVpCiAEhKCiI5ORkd4chhHAB+3qBkk/PEHl3ImF3OG/ll/KvLlLy6RlA6gUGorY5aU6ehM2bYfZs0OkcP2BtbatGiO7UC2g0Gh544AEeeOABQKmNyMnJIS8vj5qaGhoaGvDx8ZF6ASEGoqQk5f1I66TScJ0OFixQ3pdOnpRaAeExpBlCDEgxMTHs3buXzZs388wzz9hmvcmvNNmaHNQqCPRWo1GD2QIGo4X2Jo8MCQlh1apVLFiwQDq1heinAgMDWblyJYsWLQJgx+lqngkJcVpx1I7TLcsSrlq1isCmJcKEe5nNZvbu3cvWrVvJzMzs1ixmMTExTJw4kXnz5jF9+nQ0TQULd911F7t27eKhhx6irq4OfW4+OU9uIeHJ+xw6C3tZ5gXOv/ExjfpaQEls7Nq1i7Fjx97w2IyMDHbt2tXj5zZq1CjC7GZ6E+Jm0duGKE8XkhLn1EaIZmovLaN+PYNTL32IPjefiooKnnjiCXbv3i3nzEIIl2t7bnaurJGVX+p5eHQAY6Ic1wSdV2xk5+lqqo1K8qD53Oyuu+5y2BhCCMfQaDQsWbKE5cuXYwUyLtTyWLL7vpsfuFBLc9px6dKltu+WYmDpKCddW15ObXm58iCVCi8fH1RqNVaLhcaGBrDemJSWnLQQore+/vprHn74YSqbVqbR+voSO24cQYMG9XhffsHBxKWlERodzdXjxzHV11NSUsLkyZM5dOiQNEQIIYQQot9oWy9w/vWPSXl9rtMmujv/+se261IvMDC1zUlz7hysXAkPP+zYmdjz8mDnTqhWalA6qxfoTFRUFNOmTZMJOoSwMxDqBaxt84ojRzq3EaKZVgtz5iiNYOfOSa2A8AjSDCEGLJVKxcKFC/nRj37E9u3beeONN8jLy7Pdb7FCZYOlw+2Tk5NJT09n9uzZ8sVEiAFg4cKF7Nixg/3791PVYGXzMQOLU4Pw1jjuJMxotvJWroGqBuVkc/r06SxYsMBh+xe9U1paysaNG1m/fj35+fk92ragoIAdO3awY8cO4uLiWLJkCYsXLyYiIoIpU6Zw8OBBZs2aRUVFBY0VtZz+w4dE3jOKuNmT8B0c0uuY667rufLuEUoOn7HdFhoayu7du7nrrrtazerW7PHHH3fYcxNiIHJkQ5Sn8grVkfjcDKc3QjRTe2lJfG4GOelbaNTXsmfPHt555x3mzp3rkvGFEMJe23Mzg9HK28cNpAz2ZuoIXZ9mhC+tNXPgQq1t9TdofW4mhPBMixcvZsWKFbZVIscOMjq0Qaq78opbrx7ZXHghBqauctJYrTTW13e4veSkhRB99eijj9oaIXRhYQyfMAGtd98+/4IGDyYxLIxLWVnUlpdTWVnJ1KlTycnJkZVrhBBCCNFv2NcLGMtrOP3SLsb8/odofL0cNoa5vpFTL32AsbwGkHqBga5tThqDAd5+G1JSYOpUCA/v/c5LS+HAAcjNtd3UVb2AEKJzA7Fe4K9//WvLlcBA1zRCNNNqlfFeeQWqq6VWQLidynpDe5DwRCUlJTd0mhUXF8sSVT1gtVrJyckhMzOTo0ePkpOTQ0lJCdevX2/1uJdffpkpU6aQmpoqnWp9IK9Z55Dj2jcFBQWkpqbavhgOC9GyYFygQ1aIqG208Fauwbb6TGRkpPwYhHtfs1arla1bt/LUU0/ZfgBspvHzxn9EFAEJUQTER+EV5IfKS4O10UxjVR3VF4upPl9MzYVizHXGVtuGhISwevVq5s6di0qlorCwkCVLlrBnz56WB6kgNHUYQ2aMJTRtGCpN168xq9lCRfZlru89TkXOZbA7Q5s5cyYbNmywLSlXXFzMoA5mc3Pkc7vZyHus87jz2PalIcqeJzYNnTlzhtGjR9uuj37+QYeuTtNdZZkXOP3HDwHlfeSbb77xmGPUG/JeIDyVvDa7p71zMxWQGO7FpFhfRkV4oe7GeY7FauVMaSNHrtZztqzR/tTshnMzcSN5vTqPHNue2bJlC/Pnzwcg0FvFs3c6Z5XIjtQ2WnjlS71tRZktW7bcdD8G3eyv2fZy0mVlZTQ0NODj40N4eDipqamMHz+eiRMndjsnfbMfV2eR4+o8cmydo73j2kwXFkb8pEloHFgEYTaZuHjkiG21m2nTprF3794Bl0eU16vwVPLadA45rs4hx9V55Nj2Tdt6gaDRQxn9wkMOWSGi0VDPqZc+wHBaqUGSeoGb5/Xafr2AChITYdIkGDUK1N3IR1kscOYMHDkCZ8+2WkmybU76Zjm2ribH1TncfVwHar1AaWkpI0aMoKqqSrlh/nzHrkzTXXl5sGULMDBqBcD9r1nRO7IyhLhpqFQq0tLSSEtLs93W3hvXT3/6U3njEmKAiomJISMjg8mTJ1NZWcllvYlVR/Q8MjqA0ZG9nx3rdImRHaerbStCBAcHk5GRcVMnNtytwwaFtOEMmXE7oamdNyhETVaKi61mCxU5l7m+92sqsi+BFfR6PfPnz+f9999nw4YNREdHs3v37taNF1aoyL5MRfZlpTkhPpKAhEEEjIhCG+iL2kuDpdGMyVBP9YViqs9/S83FknabE1577TUef/xx24+KhYWFN84g4qTnJgV+oj9zdENUfn4+y5cvZ8WKFR7TNLRt2zbb5ch7RrmlEQIgfOIIIu8ZRcnhM+j1et58802WLVvmlliEEKK9czMrcKaskTNljfhoVEQHaogO0hIdpMXfS4VWrcJksVLTaKWwyqT8MZhpMLeeP6S9czMhhGebO3cu77//Pnv27MFgtLL9RDULxgWiVTv//7DJYmXb19W2RogHHnigxyv6CeewWq1kZ2fbGhRyc3MpLS3FaDTi7e1NREQEKSkptgaFtLS0Xr/vt5eTdhar1crRo0dd8ryEEJ5N6+vL8AkTHNoIAaDRahk+YQJnDx3CVF/P/v372bx5MwsXLnToOEIIIYQQztK2XqDq9DVyf76VhF9MIWz88F7vt/yri5x//WPbihBSL+C5nJETaL9ewKo0Npw5Az4+EB3d8sffX5lR3WSCmhooLGz509DQat89yUlLXkCI1jqrF7D9v4yJgaFDb/x/ee0aFBS0+n/pafUCGzdubGmESElxTyMEQFKSMn5urtQKCLeSlSH6Cek2cg45rs4jx9Y55Lg6Rm5uLlOnTm21dGDKYG/uHuZHdGD3fyAqNJj49HIduUUtBeyRkZEcOHCAcePGOTLkfssdr9kvvviiZSnKJpH3jCJu9iR8B4f0er/1RXrytx+h5PAZ2232S1GC0nn95ptvsm7duj53lC9dupRFixa16ph253O7Gch7rPO4+tj2tSGqWXtNQ83cPSu42Wxm2LBhyvKdKhi/YUGf3gf6qu66nuwlm8GqvIdduHDB45YJ7S55LxCeSl6bPefsczPRMXm9Oo8c254rLCwkOTnZ9j1qTKQXc253bkOE0ghh4GRJI6B8v8rLy7spG8496TVrMBjYtm0ba9asIS8vr9vbJSUlkZ6ezpw5cwgMDHRihN3X3nEdPXo0p0+f7vY+PPF5uZsnvV4HGk86tq5siHK2jlaGGD5xIkEdrCrrCFVFRVzKygKU4qwrV64MqPcRT3q9CmFPXpvOIcfVOeS4Oo8cW8dor14g8u5RRP8wjYD49lfeak/1xWIK/55Nyactv7FKvUALT3q9uion4KqctOQFnMOTXrMDiTuOa6crttx5p/J3d1dsOXsWvvyyyxVbXMlsNhMfH8+VK1eU5/Wb30B4uMvjsCkthRUrwGrt97UCIO8F/ZU0Q/QT8h/MOeS4Oo8cW+eQ4+o4BQUFLF68mP3797e6PS5YS8oQH2KDNAwJ0OKlafmhq9Fs5Xq1iatVZnKvN5BfaWq17bRp09i4caPM8GDH1a/ZgwcP8tBDD1FXVweAV6iOhCfvc+hs6WVZFzj/xsc0VtQC4Ofnx65du5gyZYrtMWazmX379rFlyxaysrK4evVql/uNjY1lwoQJzJ8/n2nTpt3wxcBTnttAJu+xzuPKY3uzNA199NFHzJo1S4lj/HDG/McPXB5DWydf/F8qsi8DSnwzZ850b0C9JO8FwlPJa7P3nHFuJjonr1fnkWPbO1988QVTpkyxfZ8aGe7F7OQAdF7d+MGrh2obLWz7uppvypVGCJ1Ox4EDB26qRnN7nvCatVqtvPXWWzz77LPo9fobH6BS4eXjg0qjwWo209jQ0OqHzWYhISGsXLmShQsXur0wuqMC6Fb64fNyN094vQ5UnnBsB1JDVLP2jmtITAxxLliNJj87G31BAQBr165l6dKlTh/TVTzh9SpEe+S16RxyXJ1DjqvzyLF1nI7qBQJHDyHy7lEEJgxCNywSjU/LZIrmBhO1l0swnP+WksNnMJy53mpbqRdozRNer13lBFQaNV6hOtReGiyNZhorarGaLTc8rqffnZ2dk+5OXsBZz20g84TX7EDk6uPaXr0AKSkwdWrfGgbKyiAjA3JzbTe5q17AvlaAUaPgpz916fjt2rRJWQ2H/l0rAPJe0F85dn1UIYQQop+IiYlh7969bN68mV/96le2JdHyK022Jge1CgK91WjUYLaAwWjB0k4LYUhICKtWrWLBggU3/ZdDd/r8889bNQuEpMSR+NwMvAJ9HTpO+IQRBN0WzdlX9qLPzaeuro6HHnqIgwcP2r7gaDQaHnjgAR544AFAOSnOyckhLy+PmpoaGhoa8PHxwd/fn6SkJNLS0jo9afak5yaEJ3Nm05Dv4BASn5lOxHdG2pqGKioqmDJliluahrZs2WK7PGTG7S4duyNDZoy1NUO8/fbb/TrBIYQYWDo7NysuLuaVV15p9fhTp04xevRod4QqhHCSu+66i127dtnOFc+VNbLySz0Pjw5gTJS3w8bJKzay83Q11UYleaDT6di1a5d8n3KjjopbdGFhhEZHowsNxTcoCLVdgYHFbKa+qoraigoqCgupLS8HQK/Xs2jRInbs2OH24pZr1661e3t/f15COENfG6Ly8vJIT09n+fLl/aJAKCohwWXjNDdDrFmzhiVLlnj0cRFCCCGEaKujegHD6esYTjc1OahVeIf5o9ZqsJjMGMtraK9gQOoFPFNHOYGg0UOJuDuRwFsH4z8sArV3S/mkxWii5nIphm+KKPn0jO210NPvzo6uF2iro7yAK56bEJ6sbb0AgYHw8MMwZkzfdx4eDo89BmPHws6dYDC4rV7AvlaAO+902bidmjTJ1gwhtQLCHWRliH5Cuo2cQ46r88ixdQ45rs5x6dIl4uPje7xdcnIy6enpzJ492+NmBfMUrnrNFhYWkpycbOvsDp+UQOJz01F7Oa/v09Jo4syKvZRnXgCUju+8vDyHL4E3kJ+bp5H3WOdxxbH9/PPPuf/++53eNATQaKi3NQ2BsoqKq5uGYmNjKSgoQOPnzcT/+RkqjeNnNe4pq9lC5k/WYq4zEhsbqyzL2Q/Je4HwVPLadA45rs4hx9V55Nj2TXuzgqUM9mbqCB3hut6vAFNaa+bAhVpyi4y229y5ipgncedrNjc3l6lTp1JSUmK7LSQmhqiEBPyCg7u9n7rKSorPn7cV/QJERkaSkZFBSkqKQ2PujtzcXO6//35KS0tttw2E5+UJ5D3Wedx1bB3ZENXMk2b7bXtcdWFh3Prd77ps/G8++8x2fI4ePUqaC1akcAV5LxCeSl6bziHH1TnkuDqPHFvnkHoB5/C0nEDk3aOIfng8AcO7P371xWIK/55NyactK8e7+7tze3mBgfLc3E3eY53DVce1bb0AI0fC7Nmg0zl0HABqa2H7djh3DnB9vUBzrQA+PvD734Pa/bUCWCzw299CQ0O/rhUAeS/orzzgf4EQQgjhXgEBATfc9uijj3L77bcTHR1NREQE0dHR3H777cyfP5/XX3+do0ePcvz4cZYuXSqJDTezWq0sWbLEVsyiFEA7t1kAQO2lZdSvZxCSEgdARUUFTzzxBI7sMx3Iz00IRyosLOTBBx+0JTbCJyVw2wsPOqURAsAr0JfbXniQsInKihN1dXXMmjWrw1lYHK24uFhJbgD+I6I8ohEClOV2/eOVBMDVq1dbJZiFEEIIITzBXXfdxYkTJ1rNSpVbZOS/v9CzKaeKUyVGLN383mOxWjlVYmRTThUrvtC3aoSYOXMmeXl5N30jhDvl5OQwefJk2zmp1teX4RMnEpeW1qOGAQC/4GDi0tIYPmECWl/lO0ZJSQmTJ08mNzfX4bF3pvl5NRc8DJTnJYQz5Obmkpqa2qoRIiQmhpH33MOt3/0uEfHx6EJDWzVCAKg1GnShoUTEx3Prd7/LyHvuIcSu8WH//v2kpqZ65P+T0Ohot42XmZnp0rGFEEIIIRxJ6gUGlrY5Ae8wf277jx+Q+Oz0HjULAATER5H47HRu++1DeIf5A+797tw2LzCQnpsQfdG2XoCkJFiwwDmNEKDsd8EC24oTrqwXsK8VIDraMxohQImjKU8gtQLCHTzkf4IQQgjhWf785z9z/PhxCgoKKCkpoaCggOPHj7N582aefPJJ0tLSZIlLD7F161b27NkDgFeojsTnZji9WaCZ2kurzDwfonyB2rNnD++8847D9j+Qn5sQjnIzNg1lZ2fbLgckRHXySNcLSBhku2wfpxBCCCGEp4iOjmb37t28/fbbBDcVj1uBM2WNbD5m4LeHKlj7VSUfnq0h+3oDZ0qNnC9v5EypkezrDXx4toa1X1Xy20MVbD5m4ExZI81ngCEhIWzZsoXdu3cP+JX1PFlBQQHTpk2jsrISUGZKT5w8maBBg7rYsnNBgweTOHkyurAwACorK5k6dWrLj49ONlCflxDOMFAborqiCw116Xh+ISG2y0ePHnXp2EIIIYQQzib1Av1T2+/OQaOHkvL6XMLGD+/TfsPuiCfl9bkEjVbyPe747jyQn5sQfdG2XsC2IoTWybU1Wi3MmaOMh+vqBVr9Bu8Bq1a2YjdpgtQKCFeTZgghhBBC9FulpaU89dRTtusJT97ntJngO+IV6EvCk/fZrj/11FOtlqTsrYH83IRwpJuxaejkyZO2ywHxHtYMMaIlnry8PDdGIoQQQgjRMZVKxbx58zh//jwvv/wysbGxtvsazFYu6k18dqWe9/Kq2ZRrYH12FZtyDbyXV81nV+q5qDfRYG75USsuLo6XX36Zb775hrlz50oxhBtZrVYWLVpkK4DWhYURP2kSWm9vh+xf6+1N/KRJtsaBkpISFi9e7PQfOQfq8xLCGW7axiGVCt+gIJcO6RccDE2feTk5OS4dWwghhBBCiLbafncOGj2UMb//ocN+Y/cK9GXM739oaxpw5XfngfzchOgr+3oBAgNd0wjRTKtVxmtaYcgV9QL2tQJ42oQ8ds0QUisgXE2aIYQQQgjRb23cuNH2w2bkPaMInzDCLXGETxxB5D2jANDr9bz55pt93udAfm5COMrN2jRUXV3dMn6Qn1PH6imt3fGvqalxYyRCCCGEEF2LiIhg2bJl/POf/+zxtrGxsTzyyCN89NFHXLhwgWXLlhEREeGEKEVPvPXWW2RkZABNM8FPmIDGwT9+arTaVjPE79+/n82bNzt0jLYG6vMSwtFu5sYhLx8f1BqNS8dUazR4+fgAUFZW5tKxhRBCCCGEaMv+u7N3mD+jX3gIja+XQ8fQ+Hox+oWH8A7zB1z33XkgPzch+qJtvQAPPww6nWuD0OmUcZs4u17AvlYAf3+njdMrdvFIrYBwNWmGEEIIIUS/ZDabWbdunXJFBXGzJ7k1nlsemwRNk3+uW7cOs9nc630N5OcmhCPdrE1DRqPRdlnl5dpCh66o7eJpaGhwYyRCiIGguLiYffv2sXLlSl588UWWL1/Oiy++yMqVK9m3bx/FxcXuDlEIMUBo2ikefe+993jllVd48cUX+X//7//x4osv8sorr9jef65cucL777/PzJkz291euJ7BYODZZ5+1XY8dN85hBdBtab29iR071nb9mWeewWAwOGWsgfq8hHCGm7lxSOWmzyKVWvmpWXIAQgghhBDCndp+d074xRSnTaDmFehLws9bJkpz9nfngfzchOgr+3oBUlJgzBj3BJKUpIyP8+sF7GsFXLYCRnfZxSN5AuFqHva/QQghhBCie/bt28eVK1cACE0bju/gELfG4zckhNDUYVRkXyY/P5/9+/czc+bMXu1rID83IRzFE5uGSj49A1alaei5555zWlGct13hk7XRs5qTLHbx+DTNDimEEN1lNpvZu3cvW7duJTMzk4KCgi63iYmJYeLEicybN4/p06dLQbIQwmHuvfdeIiMj3R2G6IFt27ah1///7N1/XFT3nej/18wwA44MDD+DgsGoValgBMyq8ZtN7I2/Ykx6N8m2G42/KmpIusY1abM+kmy26TZdazbmNvFnjNFob7she5u6/gB7q7lpIu4KRMWoBI0ooAWEgcEBhhnm+8cwhwFRQea37+fjkUfODHA+nzMOnDmf8/5hAsCYkkLUXXd5dbyopCSMKSmYKisxmUzs3r2bFStWeHycUD0uITzNH4lD3x49CjgDhJ566ikMBoNXxusLh5+Klzg6OgBZAxBCCCGEEP7lfu2c8OBYYife49XxYu8bQcKDY6n97IzXr51D+diEGIju8QIqmDnTvxOaMQO++gocDq/GC7jHCmCzeXz/A+I2H1knEL4mnSGEEOIWHA4Hx44d491332XRokXce++9JCcnk5CQQHJyMvfeey+LFi3i3Xff5dixYwHREluIO8GOHTuU7SGPjPfjTLoMeaSreuKHH3542/sJ5WMTwlMCNWkIUJKGvCUyMlLZbm9q8do4t8NmblW2BwdaW04hRMCqq6vjzTffZOTIkTz22GPk5eX1KRECoLKykry8PObOncvIkSN58803vdp+WNyZZF1AiMDncDjYsGGD8jhx1CifjOs+zoYNGzz++x+qxyWEN/grcQhQAoT8qb2tjQ4fJ0R02O20d1Z6jIuL8+nYQgghhBBCuPS8dk5+YqJPxk3+m2xl21vXzqF8bEIMlHu8AGPGgL+vS+PjnfPAu/EC7rECXLvmlTFum9t8JFZA+Jp0hhBCiBswm83s2rWLDRs2UFpaesPvq66u5sSJE0rwcnp6Orm5ucyfP9+vlaCECHWFhYUAaAbplABkf4vJHo5mkA57i5WjnZXhbkcoH5sQnhKoSUMNRRcAZ9KQtzqojHNr79l8vobEaWleGed2NJ+rUbbT09P9OBMhRDBwOBzs3LmTlStXdrUx7hSuUZEcpSHFEMbQqDAGa1WEqVXYOhxca3dQ3WSj0myjqslOm915I6aiooI1a9awdu1a1q9fz4IFC1CpVP44NBEiZF1AiOBRVFSk/J7qY2MZFB3tk3EHRUejj43FUl/PyZMnKS4uJjs7+9Y/2EehelxCeJo/E4dMnUm8GzZsYPny5f77/Olw0NrUhD4mxmdDtjQ2QmdQVFZWls/GFUIIIYQQwp37tXNU2lAi7/FNp8/IEYkY0oZgPn3Za9fOoXxsQgyUe7wA99/vv4m4mzIFzpwBvBcv4B4rQHU1BNLvZlWVsimxAsLXpDOECEhScU/4k8PhYNu2bdx9993k5uZeF/CgVkF0uJq4QWqiw9Woe9zbKC0tJTc3l7vvvptt27bJ+1MIL6ipqVGqBQ8emYhKExgfaVQaNYNHOBcgLl26RG1tbb/3EcrHJoQnBXLSEODVpCH3xcbm8pqbfKfvNZf/RdmWRVEhxM1UVVUxd+5cFi1apCRCqICx8VqWTDDws2kxPDsxmrljBpM9JJyx8TpGxWoZG68je0g4c8cM5tmJ0fxsWgxLJhgYG6/FdWlmMplYtGgRc+fOpbq62m/HKILXrdYFUKnQRkSgGzwYbUSEswW3G1kXEML3XNcHADHJyT4d230893l4QqgelxCe5u/EIUAJEPInS0ODT8dr6ezEATBxom8q1AohhBBCCNGT+zVr/INjfDp2woNje52Hp4TysQkxUMr7Mjxc6cjgd2PHOueD9+IFut2D72OXdZ9xS4aQWAHha9IZQgQUqbgn/K2yspKcnJzrWlUNN4YxISmcYVEahkSGodV0BTq02x1cbrZxqclOyeU2KhptgDMAZ+nSpeTl5bF161ZSOltmCyEGrqioSNmOHJXox5lcL3LUXTSdcn7ALyoqYtasWf36+VA+NiE8JdCThppOVSlJQwkJnq/QkpiYSEpKCpWVlVw7V4PD3hEQr4HD3sG1885EqWHDhnnl2IUQoeGLL75g7ty5NLgFa2Um6Zg5Uk+cXtOvfalVKtISdKQl6LhqsZN/zkLJFSsAe/fuJT09nT179jB16lSPHoMIXTdaF9DHxhKTnIw+JoaIqCjUmq73aofdTmtTE5aGBhqqqrDU1wOyLiCELx07dkzZ9mVVdIBBRmOv8/CEUD0uITzN34lDrnN/YWGhX2/2N1RVET9ihE/Hc5k8ebLPxhVCCCGEEMKd+zWr4TtJPh3bMOquXufhKaF8bEIMhHu8AMnJoPb/vXLAOY/kZDh/3mvxAu6xAlRVQUdHYBx/R4eSDCGxAsIfAuC3QAipxC8CQ0lJCVlZWd0CHjKTdKyaHM1z90UzdVgEd0druyVCAGg1Ku6O1jJ1WATP/1U0L0yOJjNJp3z9wIEDZGVlUVJS4rNjESLUnTp1StmOHBFgCQMju+Zzs8S+GwnlYxPCUwI9acjFfZ6e5goysLdYaSi+4LVx+qOh6AL2FmcA8qRJk/w8GyFEoDp48CDTp09XEiEMOhWL7jXwdIah34kQPcXpNTydYWDRvQYMOud1W0NDA9OnT+fgwYMDnrsIfb2tCxhTUhj90EN854EHiB8xAn1MTLdECAC1RoM+Job4ESP4zgMPMPqhhzC6JT7IuoAQ3qf8fqlURERF+XTsQdHRSocYT1eFD9XjEsLTJHHIyVJfT0tn1zVva2lsVJJAMjIyyMrK8sm4QgghRCBoamqiuLiYI0eOUFxcTFNTk7+nJMQdzXXtrNKoGTw83qdj64cn4Api88a1cygfmxAD0e0+fKAVIXIr0uCteAGlIEFbG5w965Ux+u3MGed8kFgB4R/SGUL4nVTiF4GguLiY733vezR23iiIClfxZFokaQm6W/zk9ZINYTydYSAzyUre6Waa2hzU1tYybdo0Dh06RGZmpqenL8Qdp7m5WdnWRg3y40yuF2aIULavXbvW758P5WMTwlOCKWnIWx1UFi5cSF5eHgCX950g9j7fVX68kcv7jivbixYt8t9EhBAB689//jOPP/44LS0tAIyO0zIvIxK91rO1OsYl6rgnxsjuk82UXW2npaWFxx9/nIMHD0qHCHFDPdcFwiIiGDZhAlF33XWLn7zeoOhoUrOziUlO5tLx49haW2VdQAgvq6urA0AbHn5dwpK3qTUatOHhtLe2cvXqVY/uO1SPSwhPC4jEIYcjIAKEasrLSfVBd4qa8nJlOzc3F5VKdZPvFkIIIYJfaWkpmzZt4uDBg5SVlV339dGjRzN9+nRWrFhBenq6H2YYmGpqaigqKuLUqVM0NzdjtVrR6XRERkYybtw4srOzSUwMrPs8Ivgo184xetQ634ZCasLD0MUOxlrX7JVr51A+NiEGwj1egKFD/TeR3rglQ3grXsA9VoAvv4S0NI+P0W9HjiibEisg/EGSIYRflZSUMHPmTGpra5XnMpN0PDR8EEMNN357uirxu6rxV5ltfHahhZIrzkq0rop7+fn5coNZ3FJlZSWzZs1SAh6GG8NYPMEw4ICctAQdq41Gtn9l5oLJRmNjIzNnzqS4uFgSdYQYIKvVqmyrtL4NBrgVtdt82jqznvsjlI9NCE+RpCGYPXs2w4YN49KlSzQUfUvrFRMRSUavjXcrLZdNSoeK1NRUryWBCCGCV1VVFY899piSCJGeqGNeRiRhPVs/eoheq2bxBAO7Tpg5VetMiJg7dy6lpaUMDbSFceF3PdcF9LGx3DNpEmG6/hdIcBeVlMSY2Fi+PXoUS329rAsI4UWua2mVjxMGXFSdreg9fa0cqsclhKdJ4lAXU2UlMcnJRCUleW2MpitXMFVWAmA0Gpk3b57XxhJCCHBW4S8vL6etrY3w8HBGjRpFlI+T38Sd69y5c+Tm5lJQUHDT7ysrK6OsrIz33nuPGTNmsHHjRkaM8H8RI1+z2+3s27ePnTt3UlhYSGXnZ4abSUlJYfLkySxcuJDZs2ej8dP1jwhermtntZ/uravDnON649o5lI9NiIFwjxdg8GD/TaQ3bvPxVrzA7NmzSU1NpaKiwtkZ4upViIvzylh9UlendKiQWAHhL5IMIfxGKvGLQOBwOFi6dKmSkDPcGEZOVhQ6jWcCcvRaNTlZUWwtbuKCyUZtbS05OTns27dPKiUJMQA6t6AkR7vdjzO5XofbfMLDw/v986F8bP0hlWLEzUjSEGg0GhYsWMC//Mu/gAMqdh9hzOrZXhvvVi7+5gg4nNsrVqyQmxVCBCB/nlsdDgfLly+noaEB6OoI4a1ECJcwtYr54w1s/8pM2dV2GhoaWLZsGXv27JHrMaHouS6gj41lxJQpaMI8s2waptMxYsoUzh85gqW+XtYFhPAS17W0w+6f62hHRwfg+WvlUD0uITxNEoe6u3T8OGNiYwec2Nkbm9XKpeNdnSHfeustDAaDx8cRQgipwi8CwZYtW1i1ahUWi0V5TqPVMWT0eJK+k0G43kCbxcyVb05yuewE9nbnZ5KCggIyMjJYv349OTk5/pq+T9XV1bF161Y2b97sDMzsh8rKSvLy8sjLyyM1NZXly5eTk5NDfHy8l2YrQo3r2rnDT/fWO2zOcb1x7RzKx3YrEi8gbsY9XgAPreV7jNt8vLVOoNFoWL58OWvWrAGHA/Lz4emnvTJWnxQUOOeBxAoI/wmwvwTiTiGV+EWg+OCDD8jPzwecCTmLJxg8lgjhotM49/vWERNNbQ4OHDjA9u3bWbJkiUfHEeJOEhkZqWy3N7X4cSbXs5lble3Bt5GBHsrHdjNSKUb0hyQNOc2fP9+ZDAHUHj5D/P83mrhJI706Zm+uFp6j9vAZwFkRcunSpT6fgxDieoF0bt25cyd79+4FwKBT+SQRwiVM7RzvV1+aaLY62Lt3Lx999BELFizwyfgi8LmvC4RFRHDPpEkeS4Rw0YSFcc+kSZw9dAhba6usCwjhBfHx8VRXV9Pe1kaH3e7TyvAddjvtnTc24zxcgS1Uj0sIT5PEoe5sra18e/SoRxM8Aew2G98ePYqt1blGOHv2bBYvXuyx/QshBEgVfhE43njjDV577TXlsXFIKg88s4qsOfOIMERf9/2t5kaK9+7m84/exnS5AovFwrJly/jLX/7CK6+84sup+5TD4WDnzp2sXLlSif9RhIdDcjKkpMDQoc5K2WFhYLPBtWtQXQ2VlVBVBZ3XHhUVFaxZs4a1a9eyfv16FixYIMUkxC0p184NFjqsNtQ634VD2ttsWOudld+9ce0cysd23XgBdE9DBD73eAFsNv9NpDdu8/HmOkFOTg7/+q//6jz/lpTAvffCuHFeG++GSkud4yOxAsK/BhZ5LsRtuFEl/oEmQri4KvEPNzo/ALoq7jk6s8+EcDGbzbz44ovK4yfTIj32PuxJr1XzZFpXgPPq1asxm81eGSsQOBwOjh07xrvvvsuiRYu49957SU5OJiEhgeTkZO69914WLVrEu+++y7Fjx+T3U/TbOLcP8M3na/w4k+s1n+uaz+1UIwrlY+tNXV0db775JiNHjuSxxx4jLy+vTwsb0FUpZu7cuYwcOZI333yTuro6j8xLBLY7NWmop54Lj+Xv/ZF2t/F9od3cSvl7f1Qev/POO1KtSQg/C7Rza11dHStXrlQeP+HF664b0WvVPOF2PbZy5Ur5zCCA69cFhk2Y4JUKyuDsEDHs3nuVx7IuIOsCwrOUzsAOB61NTT4du6WxUal8lpWV5dF9h+pxCeFprutQV+KQLwVa4pDrtbDU13P+yBFs7tUyB8BmtSqdrgASEhLYsmWLBCcKITxqy5YtjB8/vlsihEarI2XcRCZ+fzFTn/57Jn5/MSnjJqLRdl27uarwb9261R/TFiFoy5Yt3RIhJj25jBc+LuH+H+b2mggBEGGI5v4f5vLCxyVMenKZ8vyrr77Kli1bvD5nf6iqqmLu3LksWrSoKxFCpYKxY2HJEvjZz+DZZ2HuXMjOdj4/apTz/9nZzueffdb5fUuWOJ/v/GxhMplYtGgRc+fOpbq62o9HKYKB69rZYe/g2gXfrvtaLtRCh/eunUP52FwC7Z6GCA7u8QJcu+a/ifTGbT7ejBeIj4/njTfe6Hrik0/ArZuVT1gsznE7SayA8CfpDCF8Tirxi0Cxa9cuTCYTAJlJOtISvBPw4JKWoCMzSUfJFSsmk4ndu3ezYsUKr47pa2azmV27drFhwwZKS0tv+H3V1dWcOHGCHTt2AM6g6tzcXObPny8ttUWfZGdnK9vN5QGWMFD+F2XbfZ59FcrH5u5mlWI0g3QMHplI5KhEIkckoo0ahEqrwdFup72phebzNTSX13DtXA32FucNXakUc2fpmTSUOC3Nj7PpzhtJQ33V3mDh7K/28d1XH0Ot9f6lXke7jbNr99Juci6qPProozzzzDNeH1cI0bubnVvDNSqSozSkGMIYGhXGYK2KMLUKW4eDa+0OqptsVJptVDXZabM7b2546ty6detWZT6ZSTrGJXr3uutG0hO7X4+9//77vPzyy36Ziwgc7usCxpQUou66y6vjRSUlYUxJwVRZKesCsi4gPGzixInK+8nS0IA+JsZnY7d0/h1xzcOTQvW4hPC0zMxMTpw4oSQO+fR3JcASh373u9/xN3/zNzQ2NmKpr+fsoUMMmzBhQJ9zmq5c4dLx40pHiOjoaPLz86UjuxDCo6QKvwgU586dY9WqVcrjR/5hLQ/Mf6HPPx+uj+T7a94lbthI9r39UwBWrVrFww8/HFLdS7744gvmzp1LQ0ND15OZmTBzJvQ3QVSthrQ0539Xr0J+vlJheu/evaSnp7Nnzx6mTp3qwSMQocT92tn8zRUMo5N8NrbZ7f65N66dQ/nYpLOMGAj3eAGqq51JdoGiqkrZ9Ha8wA9+8AP+/u//3vnAbIbdu2HxYufvi7fZbLBrFzQ3AxIrIPxPkiFCnMPhoKioiMLCQo4dO0ZJSQl1dXVYrVZ0Oh3x8fFkZmYyceJEJk+eTHZ2tlc/CPijEv8HXzmr7K1evZqnnnpKbqgKwPm7sWHDBuXxQ8MH+WTcB4cPouSKM3B3w4YNLF++PCQ+fDscDj744ANefPFFJZDEnVoFBp2aMDXYOsBs7XAlkANQWlpKbm4ua9asYd26dSxZsiQkXhfhPYmJiaSkpFBZWcm1czU47B2oNP5veOWwd3DtvLPz0bBhw0hISOj3PkL52FyqqqpYvnw5e/fu7XpSBTHZ9zDkkfHEZA2/6TG7At8d9g4aii9wed8JGoq+BUdXpZiPP/6YLVu2MHTo0Nuepwhcd0rS0O0wlVRwZu0+xv7kEa8mRHS02zizdh+mry4CEBMTw+bNm+X8LYSf9HZuVQFj4rXcnxLBmHgt6pv8fmYPcbbp7XA4OFvXzpeVrZyta8fBwM6tdrudTZs2KfOZOVJ/O4fnMTNG6vnqihUHsGnTJl566SW/zkf4V891gcRRo3wybuKoUZg6K5vdSesCqFRow8NRaTQ4XBW03bpByLqAGKjJkycr2w1VVcT7MMiowe0Gp/s8PCFUj+tmAu2ehggOkjjUJSMjg0OHDjFz5kxqa2uxtbbybWEhxpQUEkeNYlB079Wse9PS2EhNebny2QWcHSEKCgqYMGGCF2YvhLhT9VaFf/YLvyRcH3nDn3FV4c9+bAH717/M0Txn5f1XX32VxMREli1bdsOfFeJmcnNzsXRWVZ705LJ+JUK4e+CZVVy9dI6jeVuwWCw8++yzStHQYHfw4EEef/xxWlo6O3cbDPDEE+AemHq74uLg6afh3nudlabNZhoaGpg+fTqffvop06dPH/gYIuS4X7PWfXaWoXMm+Gzs2s/O9DoPTwnVY+s9XkAFY8bA/fc7/6++SYyE6x5sRwecPQtffun8v8Mh8QJ3iG734fvYScRn3NbUvB0vcN2aWFmZM0Fh/nzvJkS4EiG++QaQWAERGCQZIkQFahU2qcQvAkVRUZHyuzHcGMZQg2/+HCYbwkiNDqOi0cbJkycpLi72S6CkJ1VWVpKTk8OBAwe6PT/cGMaEpHCGRWkYEhmG1q0DTLvdweVmG5ea7JRcbqOi0QY4A62WLl1KXl4eW7dulcpS4qYmT55MXl4e9hYrDcUXiL3P/9VUGoouKJ0KJk2adNv7CeVj661STMJDY0mdN4WIJGO/9qXSqIm9bwSx942g9YqJit1HqD3sXJSRSjGh7U5IGhqI+sJzfP3GHxjz0iNoDREe33+7uZWza/cqiRB6vZ49e/bIYqIQftLbuTUzScfMkXri9Jp+7UutUpGW4LxWv2qxk3/OoiRz3865df/+/Vy86PxbMSZe2+/5eFq8XsOYOC1nrrZTUVHBgQMH+Ku/+iu/zkn4j/u6gD42tl+BgQMxKDoafWwslvr6kF8X0MfGEpOcjD4mhoioKNSarr8BHXY7rU1NWBoaaKiqwlJfD8i6gLh92dnZpKenU1paiqW+npbGRp/8Xrd0Vl4HZwCyp6vCh+px9SZQ72mI4HAnJg7dTGZmJsXFxd3Oz6bKSkyVlcr5eZDRyKDo6OvOzy2NjbSYTDRUVmJxr/QMzJo1S87PQgiPkyr8IpCcPHmSgoICwNmdZPYLvxzQ/ma/8EvOfpGP6XIFBQUFlJaW+ryjtKf9+c9/7p4IMXo0zJsHeg8XQRk3Du65x1nhuqyMlpYWHn/8cQ4ePCj3/cR13K+dm05X0/xtLZH3eP8eXfP5GsynLwPeu3YOxWOTzjLCE9zjBaiqcibG3CyBxlc6OpRkCL/FC5w6Bdu3e+f8DGCxdEuEkFgBESgC4C+A8CSHw8G2bdu4++67yc3Nve6mgVoF0eFq4gapiQ5Xo+6RjOWqwnb33Xezbds2HG4V2jwxN39V4nfZsGGDR49JBK/CwkJle0JSuE/HzhzSNZ77PIJRSUkJWVlZ3QIeMpN0rJoczXP3RTN1WAR3R2u7JUIAaDUq7o7WMnVYBM//VTQvTI4mM6krOerAgQNkZWVR0nmRIkRvFi5cqGxf3nfCjzPpcnnfcWV70aJFt72fUD22gwcPMn36dGVhQxujJ+2Vxxizena/EyF6ikgyMmb1bNJeeQxtjPOCzlUp5uDBgwPatwhMrgADV9JQIPBU0tBADBrk/OxrKqmg+LkdXD16zqP7v1p4juLcHd0SIT799FNZRBTCTw4fPtzt3GrQqVh0r4GnMwwDTjyI02t4OsPAonsNGHTOz/P9Pbe6ghQB7k/xfHLW7ZgyrGseH374of8mIvzO/Xo8JjnZp2O7jxeK6wLGlBRGP/QQ33ngAeJHjEAfE9Mt0BJArdGgj4khfsQIvvPAA4x+6CGMboGVsi4g+kulUpGbm6s8rikv98m47uPk5uZ6vPpZqB6Xu1vd00ClQhsRgW7wYLQREc5KkW68eU9DBA9XgBCgJA75gj8Sh/oqJSWFffv2sW3bNoxGo/K8pb6eqpMnKf/8c07u3cvX+fmcPniQr/PzObl3L+Wff07VyZPdEiGMRiPbtm1j3759kgghhPA4T1bhn/SksxuEqwq/EP21efNmZfuBZ1bdtDtJX4TrI3ngmRd63X8wqqqq4rHHHutKhEhPh8WLvRNoCc79Ll6sdJxoaWlh7ty5VFdXe2c8EbR6XjtXfXLMJ+NW/UeRsu2ta+dQO7ae8QIYDLBokbMjTH8TIXpydZZZtMi5XyReINQpBQna2pydQQLBmTPO+eC/eAHA2SFi3TpnYoQnlZbCr37VLRFCYgVEoJBkiBBSWVnJI488wtKlS7u1ox9uDOP7Ywfz47+K4ufTYnnlr2N4+f+L4ZW/juHn02L58V9F8f2xg0mN7qqM76rC9sgjjzgz6DzA35X4AaXinhDHjnVdIAyL8m11Uvfx3OcRbIqLi5k2bRq1tc4K2FHhKpZMcAZe9ff3O9kQxtMZBpZMMBAV7ryIqq2tZdq0aRL4IG5o9uzZpKamAtBQ9C2tV0x+nU/LZZMSkJ2amsqsWbNue1+heGw9K8UYM1PJem8hcZNGenKqxE0aSdZ7CzFmOl8/V6WYL774wqPjCP8L1aShgfr3f/93YmJiAGhvsHD653/g7Fv7B/x3pOWyibNv7ef0v/yBdpPz5mRMTAwFBQU8/PDDA522EOI2LVy4UDm3jo7T8uL9RsYlerYD47hEHS/eb2R0nBbo37nVFeQdrlExJl7r0XndrrHxWsI7k7WPHj3q59kIf3K/Htd3njt9ZZBbQGIorQuERURwz+TJpGZn97ty/aDoaFKzs7ln0iTCIpxJS7IuIPpr/vz5SsCvqbKSpitXvDpe05UrmDrXzo1GI/PmzfPKOKF6XHDjexr62FiSMzL4zl//NRlz5vDdmTNJe/hhvjtzJhlz5vCdv/5rkjMy0MfGKj/jjXsaInjcCYlDt0OlUrFkyRIuXrzIxo0br69E7XDQ3tqK1WKhvbUVeiQTZWRksHHjRi5evMiSJUsC7viEEMHPG1X4jUOc9wZcVfiF6A9XsKxGqyNrjmc+B2fNmY9Gq+u2/2DkcDhYvnx5VwCzqyNEmJfjfsLCYP5853g4A5uXLVsmSdDiOu7XzrWfnaH+v897dbz6/z5P7WdnAO9fO4fKsfXaWebFF5WEJ48ZN865386/GxIvELrc4wX48kv/TcTdkSPKpr/iBZSCCGYzfPgh/OY3zs4pA1FX59zPjh3Q3AxIrIAIPJIMESKCoTq7VOIXgcT1nlarYEikbxJzXIZEhildWYI1OaeyspJZs2bR2Flha7gxjNVTjKQlDCzwKi1Bx+opRoYbnf8mjY2NzJw5U25gil5pNBqWL1/ufOCAit1Hbv4DXnbxN0egc91txYoVaDS3n2gVasfWs1JM3JRRfPfVx9AavFMhWmuI4LuvPkbsZGeihVSKCU2hmDTkCZMmTeLkyZPMmTNHea728BmOLdvOqdf/D/X/dR6HvaNP+3LYO6j/r/Ocev3/ULR8O7WHzyhfmzNnDqWlpVLlQQg/c51b0xN1LJ5gQK/1zjKPXqtm8QQD4xK6EiJudW6tqalRPscnR2lQB0jglFqlItng/Cxz6dIl6urq/Dwj4S/KWpdKRURUlE/HHhQdrVQ2D5V1AX1sLGOmTSPqrrsGtN+opCTGTJumBDjLuoDoD4PBwLp165THl44fx2a1emUsm9XKpeNdydBvvfUWhs6qg54WqsclnWWEp4Vy4tBAGQwGVqxYwYkTJzh27BjvvvsuixYtYvz48SQnJxMfH09ycjLjx49n0aJFvPvuuxw7dozjx4+zYsUKr/0dEEL4R1NTE8XFxRw5coTi4mKampr8Nhepwi8CSVNTE2VlZQAMGT2eCEP/kvxvJMIQTdJ3MgAoKyvDbDZ7ZL++tnPnTvbu3et8YDD4JhHCJSzMOV6k82/E3r17+eijj3wztggaPa+dy9/9I+3mVq+M1W5upfzdPyqPvXntDKFxbNJZRniDe7wAZ88OPOB/oOrqlA4V/owX+Oyzz7rFClBSAv/6r7BtG3z9NXT0LVaAjg7n92/bBmvXOvfTSWIFRCCSZIgQECzV2aUSvwgkroAXg059XZKQt2k1Kgw655/fq/7+IHYbHA4HS5cuVf7mDDeGkZMV5bHAK71WTU5WlJIQUVtbS05OjlR3EL3KycnpqoJw+AxXj57zyzyuFp5TgoSNRiNLly4d8D5D5dh6VooxZqYy5qXZqLXeXSBVa8MY+5NHlA4RUikm9IRa0pAnJScns2fPHj788EOiXVWZHdBQdIGv3/iUwr/byImX/53z739GzaHT1B/7FtPxi9Qf+5aaQ6c5//5nnHj53yn8u418/canNBRdUI7NaDSyY8cO9uzZw9ChQ/12jEKILqPjtMzLiCRM7d3rmjC1ivnjDUqHiFudW4uKutpop/ioM2RfJUd1zefEicDoLiR8z7UuoA0Pvy7Q1tvUGg3acGfhjlBYF9DHxjJiyhTCdJ7pTBOm0zFiyhQlIULWBUR/LFmyRLnRaGtt5dujR7HbbB4dw26z8e3Ro9hanYEHs2fPZvHixR4do6dQOy7pLCO8IVQThzxJpVKRnZ3Nc889x/bt2zl+/DiVlZXU1tZSWVnJ8ePH2b59O8899xzZ2dnSCUKIEFJaWsrzzz/PmDFjiI6OJjs7m/vvv5/s7Gyio6MZM2YMzz//vM87KUgVfhFIyt06PrmSFzxlyOjxgPN6utxHHaw8qa6ujpUrV3Y98cQT3gtgvhG93jlup5UrV0qRE3Ed92tna/01Tr/xKfbWdo+OYW9t5+s3fo+1/hrgmzUBCO5jk84ywlu6xws4ID/fvxMqKFA6LvozXmDIkCG9xAo44MwZ2L4dXnsNNm6EP/wBioqcz5eXO/9fVOR8fuNG5/dt3+58vvO4JFZABDJJhghywVSdXSrxi0Bi7bwJEuanv4KaznHb2tr8M4EB+OCDD8jv/AAZFa5i8QQDOg8nlOg0zv26krIOHDjA9u3bPTqGCA3x8fGsX79eeVz+nveqINxIu7mV8ve6qiO88847xMfHD3i/oXJs7pVitDF6xrz0iNcTIVzU2jDGvPQIWqNzQVYqxYSeUEka8gaVSsXChQspLy/nzTff7KqKAdhbrDSdqqL602LK/u0AX//z7yl95RO+/uffU/ZvB6j+tJimU1XYW7qCRlJTU3nzzTf55ptvWLBggQRECBEgDDqVTxIhXMLUzvEidc7xbnZuPXXqlLI9NCpwkyFOnz7tx5kIf3KtC6j8dENCpXYuDAT7ukBYRAT3TJqExsM3LzVhYd0Cm2VdQPSVSqVi69atJCQkAGCpr+f8kSMeC4i2Wa2cP3IES309AAkJCWzZssXrn49D6biks4zwplBLHBJCiIE6d+4cM2fOJCMjg/fee0+pet9TWVkZ7733HhkZGcycOZPz5897fW5ShV8EGvfr83C9Z5McdYO6up60tvr2Xp8nbN26Vfn8TmamUmnd59LTneMDJpOJ999/3z/zEAGr57Vz0+lqTr32Hx67x95ubqX0tU8wn74M+G5NAIL72KSzjPAm93gBSkrA7d6UT5WWKp0TAiFe4GaxArS1wfnz8Pnn8NvfOjs/bN7s/P9vf+t8/vx55/d1klgBEQwkGSKIBVt1dqnELwKJrrNaoa2PnZ88zd45bnhnJchgYTabefHFF5XHT6ZFeuxvTk96rZon07oWhlavXi0LlqJXCxYsUFq8tTdYOPurfXS0e/Ym5410tNs4u3Yv7SYLAI8++ijPPPOMx/Yf7MfWs1LMqOceRmuI8Og8b0VriGDUcw8rj6VSTGgJlaQhb4qPj+fll1/m3Llz7NmzhyeffJJhw4b16WeHDRvGk08+yX/+539y7tw5Xn755YA6NiEEPOHFz+M3oteqecLtc/qNzq3Nzc3K9mBtYC2Kus/HYrH4cSbCn1zrAg673S/jOzpbUQf7usCwCRM81hGipzCdjmH33qs8lnUB0VcpKSnk5+crlc8s9fWcPXSIpr/8ZUD7bbpyhbOHDikJA9HR0eTn55OSkjLgOfdFKByXdJYR3hZKiUNCCDFQW7ZsYfz48RQUFCjPabQ6UsZNZOL3FzP16b9n4vcXkzJuotJJAaCgoICMjAy2bt3q1flJFX4RaNyvz9ssnr32tLZ0rZNFRPj2PtlA2e12Nm3a5HygUsHMmf6d0IwZznkAmzZtwu6ndR0RuHpeOzedrqbk+Z3UH/t2QPut/+/zlDy/U0kW8PWaAATnsUlnGeFtPeMF+OQT8PV9H4vFOW6nQIoXkFgBcScJrNJ8ol9+85vf+Kw6+1tHTDS1OZQqbEuWLOn3vqQSvwgk8fHxVFdXY7Z20G53+DRBp93uwGx1Bj3ExcX5bFxP2LVrFyaTCYDMJN2Au9DcSlqCjswkHSVXrJhMJnbv3s2KFSu8OqYIPiqVis2bN5ORkUFDQwOmkgrOrN3H2J94twNBR7uNM2v3YfrqIgAxMTFs3rzZozc/g/3Y3CvFJDw0lrhJIz0+176ImzyShIfGUnv4jFIp5uWXX/bLXITnLViwgI8//pi9e/cqSUPfffUxn3Qg8XZClCdpNBoeffRRHn30UQBqamooLi6mtLSUa9eu0dbWRnh4OIMHDyY9PZ3s7GwleEQIEZgyk3SMS/Tu5/EbSU/s/jm9t3Or1S3gzFedK/rKfT5WDwXGieDjWhdob2ujw25H7cMOER12O+2d61PBvC5gTEkZcCX3W4lKSsKYkoKpslLWBUS/ZGZmcujQIWbOnEltba2zQnxhIcaUFBJHjWJQdN8rD7c0NlJTXo7JrcNAQkICBQUFTJgwwQuzvzHXcc2YMYO6urqgOy5fdpY5e+gQttbWAd3TEMHJFSA0bdo0GhsblcShYRMmDOi81XTlCpeOH1c6Qvgj+EkIIfrqjTfe4LXXXlMeG4ek8sAzq8iaM6/XDgyt5kaK9+7m84/exnS5AovFwrJly/jLX/7CK6+84pU5ShV+EWhGjRqlbF/55qRH93257ATgvO/nPk4w2L9/PxcvOu8XMmYM+HsdIz7eOY8zZ6ioqODAgQNKYTkhXHquCVjrr/H1P/+ehAfHkvw32USOSOzzvprP11D1H0XUfnZGec5fawJw/bpAoB9bwHWWKSmReIEQ5B4vgNkMu3fD4sW+6UBis8GuXdBZICxQ4wUkVkDcCaQzRBB7/fXXle1gqM4ulfhFIMnsbJ/Y4YDLzb6psu5yudlGR2cxsqysLJ+OPRAOh4MNGzYojx8aPsgn4z7oNs6GDRukkpvoVXJyMnv27GHQIOf7pb7wHF+/8QevVYhvN7fy9c8+pb7wHAB6vZ49e/YwdOhQj48VrMfWvVIMpM6b4ump9svdT0+BzrhHqRQTWlxJQzExMQBK0pC3u6j4IiHKmxITE5k1axYvvvgi//RP/8QvfvEL/umf/okXX3yRWbNmyeKGEAHI/dylAmaO9HH1pB5mjNS7Tq29nlt1bhWebR2B9RnefT46L1W0F4HPtS6Aw0FrU5NPx25pbITOa9tgXhdI9FEAh/s4si4g+iMzM5Pi4mJmzZqlPGeqrKTs8GG++fxz6s6f51p9PR09zmEddjvX6uupO3+eb/7f/6Ps8OFuCQOzZs2iuLjYL0EP4DyuP/7xj92eC4bjks4ywpdcAUKua1tX4lBFUZHzPNwPLY2NVBQV8e3Ro0oiREJCAocPH+76PCGEEAFky5Yt3RIhJj25jBc+LuH+H+b2mggBEGGI5v4f5vLCxyVMenKZ8vyrr77Kli1bvDJPqcIvAk1UVBSjR48GnMkLreb+fWa4kVZzo5JcMXr0aAwGzyb/eNuOHTu6Htx/v/8m4m5K1z3HDz/80H/zEAGttzWB2s/O8NXK3Rz/yW+p3vsV5rOXsbd1v59ob7NhPnuZ6r1fcfyl3/LVyt3dkgX8vSYAva8LBOKxSWcZ4Ss94wUoK3MmKNi8HA/oSoT45hsguOIFJFZAhCLpDBHEXJmTwVKdXSrxi0AyceJE5cL9UpOdu6O1Phv7UlPXB+qJEyf6bNyBKioqorS0FIDhxjCGGnxzCkk2hJEaHUZFo42TJ09SXFxMdna2T8YWwWXq1Kl8+umnPP7447S0tGAqqaD4uR2Meu5hj3YkuFp4jvL3/qhUgtfr9Xz66adMnTrVY2P0FIzH5l4pJib7HiKSjB6b5+0YNMRITNZwGoouSKWYEORKGpo+fTotLS1K0tCYlx5Ba/D8za52cytn1+5VEiG8mRAlhBAu//f//l9le0y8lji976rY9yZer2FMnJYzV9t7PbdGRnYVVbjWHliBy+7z0fu6JbcIGO7rApaGBvSuGyU+0NLZWcE1j2Dhvi6gj43tVwX6gRgUHY0+NhZLfb2sC4h+S0lJYd++fWzfvp3Vq1crnU0s9fVY6uud36RSoQ0PR6VW4+jocHZu6SXpxmg08tZbb7F48WK/39S80bVHIB+XdJYRvuYKfsrJyeHAgQOAM3HIVFmJPjaWmORkBhmNDIqO7tYhqsNup6WxkRaTiYbKSiwNDd32O2vWLLZu3SodIYQQAencuXOsWrVKefzIP6zlgfkv9Pnnw/WRfH/Nu8QNG8m+t38KwKpVq3j44YcZMWKER+cqVfhFIJo+fTplZWXY260U793N/T/MHfA+i/fuwt5uVfYfbAoLC50b4eHOjgyBYOxY53za2jh69Ki/ZyMC2I3WBMynL2M+fdn5TWoVutjBqMM0dNjsWOuvQS/FfQJpTQBuvC4QSMcmnWWEL/WMF+DUKdi+HebNA2/cB7JYuiVCSLyAEP4nnSFCQLBUZ5dK/CKQTJ48Wdn+6krbTb7T80oud43nPo9Apyx0ABOSfNthJXNI13ju8xCip+nTp3Pw4EEl47u9wcLpn/+Bs2/tp/WKaUD7brls4uxb+zn9L39QkgViYmIoKCjg4YcfHujUbynYjs29UsyQR8YPaH6eMuSRrqqQUikm9LiShlxdVFxJQ1ePnvPoOFcLz1Gcu6NbIoS3E6KEEALgd7/7nbJ9f0pgVDWcMqxrHj3PrePc2l1XN/l2DeBWqtzmk5aW5seZCH9yvx5vqKry6dju4wXrukBMcrJPx3YfT9YFRH+pVCqWLFnCxYsX2bhxI+np6d2/weGgvbUVq8VCe2vrdQkDGRkZbNy4kYsXL7JkyZKACHrozXXntAA6LuksI/zFFfy0bds2jEaj8rylvp6qkycp//xzTu7dy9f5+Zw+eJCv8/M5uXcv5Z9/TtXJk90SIYxGI9u2bWPfvn2SCCGECFi5ublYLM41/klPLutXIoS7B55ZpXSIsFgsPPvss56aokKq8ItA5J48+/lHb9Nmab7Jd99am6WZzz9a3+v+g0FNTQ2Vrm5yycmgDpAQM7XaOR/g0qVL1NbW+nlCIpDdck2gw4G1rpnWK41Y65qvSxYIljUB6GVdwM/HJp1lhK/1jBegrAzWrXMmRnhSaSn86lfdEiEkXkAI/5POEEEumKqzSyV+EUiys7NJT0+ntLSUCyYb1WabT36Xqsw2KhqdgTcZGRlBlZxz7NgxZXtYlG+r0LqP5z4PIXozdepUTp48yfLly9m7dy8AtYfPUPvZGWKyhjPkkXuJyR6OSnPrBTuHvYOGogtc3nechuIL4LY+MGfOHLZs2eLTzG7XsS1evJiDBw8CgXtsrgAlzSAdMVnDb3s/nhSTPRzNIB32FqtUiglRrqShuXPn0tDQoCQNJTw0ltR5UwbUoaTlsomLvzlC7eGudrExMTHs2bNHFjaEED5RVFQEQLhGxZh4311P38zYeC3hGhVtdsd151b39YJKc+AmQ4wfHxhJm8L33NcFLPX1tDQ2+qTTQUtjo1K1PZjXBXzZSQNgkFsAq6wLiNtlMBhYsWIFy5cvp7i4mMLCQo4dO0ZxcTFXr16lra2N8PBw4uLiyMrKYuLEiUyePJmsrKyADnZwOXz4MJcuXQrI45LOMsKfXMFPTz31FLt37+a9995T3o+Akjh0IxkZGeTm5jJv3jwJqBVCBLSTJ09SUFAAgHFIKrNf+OWA9jf7hV9y9ot8TJcrKCgooLS09PoA0gGSKvwi0KSnpzNjxgwKCgowXa5g//qX+f6ad297f/vXv4zpcgUAM2bM6FY8JBi41iMBCLRk0ORkOH8ecM5z1qxZfp6QCHShviYAgbcuIJ1lhD/0jBfAbIYPP4TMTJg5c2AdSurqoKAASkqUpyReQIjAIckQQc4f1dldgdyFhYX9unHQsxL/1GG+q2QZrJX4hfeoVCpyc3PJzXUuqh2+0MLTGd6/kfHZhRZlOzc3N2gumgBKOj/MqVUwJNK3p48hkWGoVc5E9eLiYp+OLYKTqwXezp07WblyJY2NjeCAhqILNBRdQDNIx+ARCUSOuovIkYmEGSJQazV0tNuxmVtpPldDc/lfuHa+FnuLtdu+jUYj77zzDs8884xffoeTk5PZtWsXd911V9eTAXZs7pViBo9M7FNyhi+oNGoGj0ig6VSVUikmISHB39MSHhbKCVFCiDtXTU0N1dXVACRHaVAHyHWEWqUi2aDhvMl23bk1MTGRlJQUKisrqWqy0+FwBMS8OxwOqszOggnDhg0jPj7ezzMS/tJzXaCmvJxUHwTI1pSXK9vBui6ASkVEVJRPxx4UHQ0qFTgcsi4gBkylUpGdnR1yQfGBfFz+7izjSkLr7z0NEVruhOAnIcSdbfPmzcr2A8+sIlwfOaD9hesjeeCZF9izdpWy/1//+tcD2mdPK1as4L333gOcVfizH1swoHkHexV+ERg2btxIRkYGFouFo3lbiBs2kgeeWdXv/Xz+0dsczdsCOCtGb9y40dNT9bpT7pW0A+1eiNt1RWlpqSRDiD4L5GvngQqkYwv4zjLnz0u8QAjrLV6AkhL46itnYs6UKc7EmL68Lzs64MwZOHIEzp7t1nlV4gWECCySDBHkgqk6u1TiF4Fm/vz5rFmzBpPJRMkVK5lJVtISdF4b73StlZIrzsBjo9HIvHnzvDaWN9TV1QFg0KnRanx780erUWHQqWls6+Dq1as+HVsEL5VKxcKFC5kzZw7vv/8+mzZtoqLCWX3F3mKl6VQVTaeq+ry/1NRUVqxYwdKlS/0eNHezG7CBcGzulWIiRyUOeH+eFDnqLuW1kUoxoSuUE6KEEHcm93Nrio+6Q/ZVclQY503Oa+6e59bJkyeTl5dHm93B2bp2r15v9dWZunba7M7F6kmTJvl5NsLf3NcFTJWVxCQnE5WU5LXxmq5cwdR5EzCY1wW04eGoNb5dk1RrNGjDw2lvbZV1ASGCkHSWEYEkkAKEhBDCk1zdpDVaHVlzPHOtkTVnPvve/in2dquyf0+SKvwiEI0YMYK3336b5cuXA7Dv7Z9y9dI5Zr/wyz4l67RZmtm//mUlEQJg/fr1jBgxwmtz9pbm5uauB4MH+28ivXGbz7Vr1/w4ESFEb6SzjPC33uMFHM7EhjNnnB1CkpO7/hs8GMLCwGaDa9egqqrrv7a2bvuWeAEhAlOApN2J2+HP6uzQ/+rsrop7LofdKuR7UzBX4hfeZTAYWLdunfI473QzlvYOr4xlae8g73TXYsFbb70VdC21rVZnMGiYn84crgLebT0+ZApxK/Hx8bz88sucO3eOPXv28OSTTzJs2LA+/eywYcN48skn+c///E/OnTvHyy+/7PdEiBvZtWtXwBybe6WYyBEBlgwxsms+paWlfpyJ8DZXQlR5eTlvvvkmqampytdcSUPVnxZT9m8H+Pqff0/pK5/w9T//nrJ/O0D1p8U0narqlgiRmprKm2++yTfffMOCBQvkM6UQwqfcz61DowIvGcKl57l14cKFyvaXla0+m9PNHLnUNY9Fixb5byIiIPRcF7h0/Dg2q/UmP3H7bFYrl44fVx4H87qAyseJEC6qzkpdsi4gRPAJiM4ySMdZIYQQoaupqYmysjIAhoweT4Qh2iP7jTBEk/SdDADKysowm80e2a+7jRs3otfrATiat4XPP3r7tvYTClX4ReBYtmwZP/vZz5THR/O2sP6pTL787Xu0mht7/ZlWcyNf/vY91j+V2S0R4o033iAnJ8frc/YGq/saSVhgrUm6z0fWCYQIPMHUWUaErpvFC9DW5kyK+fxz+O1vYds22LzZ+f/f/tb5/Pnz3RIhJF5AiMAWYJ9WRX8EY3V2qcQvAs2SJUvIy8vjwIEDNLU52P6VmZysKHQe/N2y2h18UGKmqc1ZfXT27NksXrzYY/v3FZ3O+btq806+yC3ZO8cNDw/3zwRE0NNoNDz66KM8+uijgLM1Y3FxMaWlpVy7do22tjbCw8MZPHgw6enpZGdnB1VLxBkzZijnOX8fm3ulGG3UIK+NczvCDBHKtlSKuTO4EqJeeukl9u/fz44dOzh69CiXLl265c8OGzaMSZMmsWjRImbNmoXGT4F/Qgjhfm4drA2sxVX3+fQ8t86ePZvU1FQqKio4W9fOVYudOL3//pbWWeycvdoOOBetZ82aRX19vd/mIwKD+7qArbWVb48eZcSUKWg8eJPfbrPx7dGj2FqdyTjBvi7gsNv9Mr6jw7kwIOsCQgQf6SwjhBBCeFd5ebmy7Upe8JQho8dT9XURDoeD8vJyMjMzPbp/qcIvAtWrr77KXXfdxapVq7BYLJguV7Bn7Sr2vf1Tkr6TwZDR49ENisTa0szlshNc+eYk9vau5AG9Xs/69euDNhECutYBAGel7EDiNh9ZJxAi8EhnGRFIJF5AiDuDJEMEsWCszu6quLd06VLAWYl/tdGIXuv5gwmFSvzC+1QqFVu3biUrK4va2loumGxsLW5i8QSDR96XlvYOPigxU9HovBhPSEhgy5YtQZkdGh8fT3V1NWZrB+12h0+TsdrtDsxWZ9BDXFycz8YVoS0xMZFZs2aFZNtDfx+be6UYlTawLgbVbvORSjF3llBPiBJChDb3c2uYOrCuJdzn0/PcqtFoWL58OWvWrMEB5J+z8HSG/67LC85ZcHRur1ixQhatBXD9uoClvp7zR45wz6RJhOkGXsDDZrXy7dGjWDoTb0JhXaC9rY0Ou92nAc0ddjvtnX9jZF1AiOAjnWWEEEII73I/x4XrPXvdrRvUlZDQ2uqdro/Lli3jL3/5C6+99hrgrMJ/9ot8HnjmBbLmzO+100WruZHivbv4/KP1mC5XKM8HcxV+EXiWLVvGww8/zLPPPktBQQEA9nYrVV8XUfV10Q1/bsaMGWzcuDHok3IiI90SkgItYNhtPoMDLdBaCCGdZURAkngBIUJbgJ1tRH8Ea3V2qcQvAk1KSgr5+flMmzaNxsZGLphsvHXExJNpkQPqXHK61kre6WblfRgdHU1+fj4pKSmemrpPZWZmcuLECToccLnZxt3RWp+NfbnZRkdn1FJWVpbPxhVC3B73SjGOdv9Ujb2RDrf5SKWYO5u/k4aEEKI/3M+tNtcH4wDhPp/ezq05OTmsXbtW6RB5711WxiV6r0PkjZTWdO8c6SrSIARcvy5gqa/n7KFDDJswgai77rrt/TZducKl48eVjhChsi6Aw0FrUxP6mBifjd3S2AgO598bWRcQIvhIZxkhhBDCu9zPcW0Ws0f3bW3pKj4YERFxk+8cGKnCLwLViBEjyM/Pp7S0lM2bN3Pw4EHKyspwOLrWxFQqFaNHj2b69OmsWLGCcePG+XHGntPtOKqrITvbf5PpqapK2UxPT/fjRIQQvZHOMiIYSLyAEKHFT70FhCe4qrP7kieqs7sq7rky51yV+C3tnsnusLR3sKWoKSQq8QvfyczM5NChQ8r7sqnNwQdfmfnNSTNV5v59MK8y2/jNSTMffNWVkJOQkMDhw4c93jrWlyZOnKhsX2ry7Y1L9/Hc5yGECEzulWLam1r8OJPr2cxdlaukUowQQohg4X5uvdYeWMkQ7vPp7dwaHx/P+vXrlcefnG722PV/X1naO/jErXPkO++8Q3x8vE/nIAJfz3UBW2sr3xYWUlFU5AzE74eWxkYqior49uhRJREi1NYFLA0NPh27xWTqdR5CiODgOu+6Osv4knSWEUIIcScYNWqUsn3lm5Me3fflshOA8x6/+zjesGzZMk6ePMmMGTOU51xV+I/9fjtf/u9fc+z326n6uqhbIsSMGTM4efKkJEIIr0pPT+fXv/41Z86cwWQyUVxczJdffklxcTGNjY2cOXOGX//61yGTCAGQ7Z78UFnpv4n0xi0ZIjuQkjSEEIB0lhFCCOF70hkiiAVzdXapxC8cDgdFRUUUFhZy7NgxSkpKqKurw2q1otPpiI+PJzMzk4kTJzJ58mSys7O9ntCSmZlJcXExOTk5HDhwAICSK87qoanRYWQOCWdYlIYhkWFo3TqZtNsdXG62canJTsnlNiURx2XWrFls3bo16N+HkydPVra/utLG1GHeq/7SU8nlrtZ07vMQQgQm94Xe5vM1JE5L8+Nsums+V6NsS6UYIYQQwcL93FrdZCN7SOBUK6pq6rr+udG5dcGCBXz88cfs3bsXs9XB7pPNLJ5gIEzt/aIFtg4Hu04002x1rhM8+uijPPPMM14fV9xasKwLmCorMVVWoo+NJSY5mUFGI4Oio1FrNMrPddjttDQ20mIy0VBZeV2iQCiuCzRUVRE/YoTPxm5wC3KQdQEhgo90lhFCCCG8KyoqitGjR1NWVsblshO0mhuJMEQPeL+t5kYluWL06NEYDIYB7/NW7uQq/HeaQFwX6KuoqKigLnbQV4mJiaSkpFBZWelMPujoAHUA1Nzt6FCSIYYNG6YUthBCBA7pLCOEEMLXJBkiyF1qsvs0GcKT1dldFfdmzpxJbW2tUok/M0nHg8MHkWzo+9uzymzjswstlFzpqgCRkJBAQUEBEyZMGNA8hWeZzWZ27drFhg0bKC0tveH3VVdXc+LECXbs2AE4P4Dm5uYyf/58ry60paSksG/fPrZv387q1asxdVYerGi0KUkOahUYdGo0arB3OLu0dPRSnNVoNPLWW2+xePHigFmYGYjs7GzS09MpLS3lgslGtdnG0H78nt6uKnPXa5+RkSE3LYUIAu4VWJrLa27ynb7XXP4XZVsqxQghhAgW7uesyn52rvM292SIG51bVSoVmzdvJiMjg4aGBsqutrPrhJn5472bEOFMhDDzTX07ADExMWzevDkkrs+CWbCuC1jq67HU1zu/SaVCGx6OSq3G0dHhrDjuuH5hIJTXBSz19bQ0NjIoeuABVrfS0tiovPayLiBEcJo4caLy99zS0ODbZAjpLCOEEOIOMX36dMrKyrC3Wyneu5v7f5g74H0W792ldGCYPn36gPfXH64q/ABNTU2cO3eO1tZWIiIiGDVqlE8SM4R3BPq6gOhu8uTJ5OXlQVsbnD0LaQFQAO3MGed8gEmTJvl5MkKI3khnGSGEEL4WACm7YiC+utJ262/yIE9XZ3dV3Js1a1bXGFesrC9s5N3/auSLS61cbGyn3d79hnK73cHFxna+uNTKu//VyPrCxm6JELNmzaK4uFgSIQLM7t27ufvuu8nNzb1uYUOtguhwNXGD1ESHq+kZD1NaWkpubi53330327Zt61b9w9NUKhVLlizh4sWLbNy48bpM4A4HNLZ1UN/SQWPb9YkQGRkZbNy4kYsXL7JkyZKQCHgA5+uSm9u1cHr4QotPxv3MbZzc3NyQeT2FCGWuSjEA187V4LB3+HlGTg57B9fO1wJSKUYIIURwSUxMZOjQoQBUNdnp8OL1UH90OBxUmZ1FE251bk1OTmbPnj0MGjQIgFO17Wz/yoyl3TufEyztHXxQYuZUrTMRQq/Xs2fPHuV1FL7ncDjYtm3bDdcFUKnQRkSgGzwYbUQE9Lj2C6R1ARwO2ltbsVostLe2XpcIcaesC9SUl/tkXPdxZF1AiODUs7OML0lnGSGEEHeKFStWKNuff/Q2bZbmAe2vzdLM5x+t73X/vuaqwj9lyhQyMzMlED5I3WpdQKVRo4uPJGJINLr4SFSa7uFMvlwXEF0WLlzY9eDLL/03EXdHjiibixYt8t88hBA35B4voHSWCQTSWUYIIUKWdIYIcqFQnV0q8d85Vq1a1e3xcGMYE5LCGRalYUhkGFpN179Zu93B5WYbl5rslFxuU94LJpOJpUuXkpeXx9atW7s+PHuBwWBgxYoVLF++nOLiYqVFZ3FxMVevXqWtrY3w8HDi4uLIyspSWnRmZWWF7Ptv/vz5rFmzBpPJRMkVK5lJVtISdF4b73StVUl0MhqNzJs3z2tjCSE8y1Upxt5ipaH4ArH3jfD3lGgouoC9xfk3RSrFCCGECDbZ2dlUV1fTZndwtq7dq5/D++pMXTttncUL+nJunTp1Kp9++imPP/44LS0tlF1tZ92XJp5Ii2RcoueOp7TGyienm2m2Ouem1+v59NNPmTp1qsfGEP33d3/3d/zpT3/q9pw+NpaY5GT0MTFEREWh1miUr3XY7bQ2NWFpaKChqkrpDCDrAv7lvi5gqqwkJjmZqKQkr43XdOUKps7qcbIuIETwks4yQgghhPelp6czY8YMCgoKMF2uYP/6l/n+mndve3/717+M6XIFADNmzGDcuHGemqq4Q/W2LhCVNpT4B8dg+E4Sg4fHo9Z1xb10WG1cu1CH+Zsr1H52BvPpy4Bv1wUEzJ49m9TUVCoqKpydIa5ehbg4/02ors45DyA1NbVb4VUhRGCRzjJCCCF8SZIhQsDhCy08neH96gferM7uqrj31FNPsXv3bt57771ulQBclfhvJCMjg9zcXObNmyeVIIJAZpKOh4YPumkSj1aj4u5oLXdHa5k6LIIqs43PLrQogfEHDhwgKyuL/Px8MjMzvTpflUpFdna2tEfDGQiybt06li5dCkDe6WZWG43otZ5vNGRp7yDvdFfVmrfeekt+v4UIIgsXLnQubgCX950IiGSIy/uOK9tSKUYIIUSw+cEPfsCePXsA+LKyNSCSIY5calW2+3punT59OgcPHmTu3Lk0NDRgtjr48LiZzCQdM0fqidNrbr2TG6iz2Ck4Z+nWOTImJoY9e/ZIIkQAcA94MKakkDhq1E0DYdUaDfqYGPQxMcSPGEFLYyM15eVKYLysC/hHz3WBS8ePMyY2ljCd5/8m2axWLh3v+gwv6wJCBC9XZxlXd5ma8nJSffA3VTrLCCGEuNNs3LiRjIwMLBYLR/O2EDdsJA88s+rWP9jD5x+9zdG8LYCzwMDGjRs9PVVxB3JfF0h4cCzJT0wk8p4bV+RW68IwjE7CMDqJoXMm0Hy+hqr/KKL2szOAb9cF7mQajYbly5ezZs0aZ2fM/Hx4+mn/TaigQOnQuWLFCjSa219LFEJ4l3u8AF9+GRjJENJZRgghQpbno1eFz0R33jAuuWLldK31Ft89ML6qzu6quHfixAmOHTvGu+++y6JFixg/fjzJycnEx8eTnJzM+PHjWbRoEe+++y7Hjh3j+PHjrFixQm6IBriocBVLJhh4OsPQ724myYYwns4wsGSCgahw502r2tpapk2bRklJiTemK25gyZIlSoWFpjYH278yY7V7tg2p1e7ggxIzTW3O/c6ePZvFixd7dAwhhHe5KsUANBR9S+sVk1/n03LZREPxBUAqxQghhAhO/+N//A9l+2xdO1ctdj/Oxpl4cPZqO9D/c+vUqVM5efIkc+bMUZ4ruWLlX78wsa24ia9rrXQ4+naN0eFw8HWtlW3FTaz9wtQtEWLOnDmUlpZKIkQACYuI4J7Jk0nNzu53RfBB0dGkZmdzz6RJhEVEALIu4C/u6wK21la+PXoUu83m0THsNhvfHj2KrdWZdCXrAkIEv/nz52M0GgEwVVbSdOWKV8eTzjJCCCHuRCNGjODtt99WHu97+6f8/hfP02ZpvslPdWmzNPP7XzzPvrd/qjy3fv16Rozwf7EjERp0sYP57j99nzEvzr5pIkRvIkckMubF2Xz3tcfRxQ4GZF3AV3JycpTP8pSUwKlT/plIaalzfJyf8V2FGoQQgck9XkDpLONP0llGCCFCmnSGCGKvv/46q1Y5KzmEWnV2qbgX/Kqrq7s9Hm4MY/EEw4Dfo2kJOlYbjWz/yswFk43GxkZmzpxJcXGxtMD0EZVKxdatW8nKyqK2tpYLJhtbi5s88u8Lzr85H5SYqWh0BlIkJCSwZcsWqdwWJGpqaigqKuLUqVM0NzdjMpn8PSXhJ90rxUDF7iOMWT3bb/O5+Jsj0BlTKZVihBBCBCP3c5cDyD9n8UmXyBspOGdxnVpv69yanJzMnj172LlzJytXrqSxsREHcOZqO2euthOuUZFs0JAcFUZyVBiDtSrC1CpsHQ6utTuoarI5/zPbaeuRnG00GnnnnXd45pln5DoigOhjY52JDAPsIBCVlMSY2Fi+PXoUS329rAv4Qc91AUt9PeePHPHIvy84O0K4/n1B1gWECBXSWUYIIYTwjWXLlvGXv/yF1157DYCjeVs4+0U+DzzzAllz5hNhuD4xvdXcSPHeXXz+0XpMlyuU59944w1ycnJ8NncR2qLShpL26uNoDRED2k/sfSPIfHcBp9/4lKbT1bIu4APx8fGsX7++q4r6J5/APfeAXu+7SVgsznE7vfPOO8THx/tufNEnEisg3ElnGSGEEL4kyRBB7OmnnyY/P58DBw4o1dlzsqLQaTx3Y1Cqs4vb4XA4lEQdcCZCePK9qdeqycmKYmtxExdMNmpra8nJyWHfvn1yY9xHUlJSyM/PZ9q0aTQ2NnLBZOOtIyaeTIskLeH2b2CerrWSd7pZ+ZsTHR1Nfn6+LFwFMLvdzr59+9i5cyeFhYVUdlbcu5kJEyZw//33s3DhQmbPni0XmSEsJyeHtWvXYjKZqD18hvj/bzRxk0b6fB5XC89Re9jZNlkqxQghhAgVJVes3HuXlXGJng8gvJXSmu7dI2/33KpSqVi4cCFz5szh/fffZ9OmTVRUOIMu2uwOzptsnDf1vdp8amoqK1asYOnSpXIz1M8cPTp76GNjGTFlCpowzyxFhul0jJgyhfNHjmCpr5d1AT/ouS5gqa/n7KFDDJswgai77rrt/TZducKl48eVjhCyLiBEaFmyZAl5eXkcOHBA6SzjyfMDSGcZIYQQAuDVV1/lrrvuYtWqVVgsFkyXK9izdhX73v4pSd/JYMjo8egGRWJtaeZy2QmufHMSe3tXp0W9Xs/69eslEULctp7rAlFpQxn3s79BE6H1yP61hgjG/exvOPXaf9B0ulrWBXxgwYIFfPzxx+zduxfMZti9GxYvBg9+lr8hmw127YJmZxHXRx99lGeeecb744pbklgBcSvu8QKUlMC998K4cb6fiHSWEUKIkCfJEEHs6tWr/PKXv+TYsWPU1dV5vTp7fHw8b775JnV1dQPed6Do7VhC6fj8Zffu3Rw6dAiAqHAViycYPJqkA6DTOPf71hETTW0ODhw4wP/6X/+Lp/2ZRewDgfSeTUlJ4T/+4z/4wQ9+QF1dHU1tDj74ykxmko4Hhw8i2dD3U0yV2cZnF1qUgCpw/s353e9+R0pKCrW1td44BEUgva7B4urVq+zatYudO3dy6dKlfv1sdXU1eXl55OXlMWzYMBYsWMD8+fOJi4vz0mxDTzC9Z3/2s5/x93//9wCUv/dHor6bPOCqP/3Rbm6l/L0/Ko/feOMNHA5Hr39Xgul1DTby2nqHvK7eIa+hCCafnG7mnhjvdIm8EUt7B5+4dY+82bm1P370ox+xaNEi/u///b/87ne/o7i4mKqqqlv+XHJyMllZWfzwhz/ke9/7HhqNpl/zkb+l3rFlyxZlOywignsmTfJooCuAJiyMeyZN4uyhQ9haW2VdwA96rgvYWlv5trAQY0oKiaNGMSj6+oqzN9LS2EhNeTkmt5vmsi4QGuS19Y5gfl3d72l4u7NMf+9pBPPrGujktfUOeV29Q15DEUxu9n79n//zf5KZmclPfvITDh8+DIC93UrV10VUfV10w5976KGHWLt2LcOHD/f65/BAIH9LvcN9XUAXO5i0Vx/3WCKEiyZCS9qrj1Py/E6s9ddkXcAHfvGLX/DFF184g5rLypwJCvPnezchwpUI8c03gDOI+Re/+IXHj1n+FvSPxAr4XzC9Z93jBQKhs4zEC/ievK7eI6+td8hrGJxUjp4p2SIg1dbWkpiY2KfvjQpXebw6uxC3a8kEw4Dei7dyutbKB1+ZvbZ/cftSo8PIHBLOsCgNQyLD0LolxLTbHVxutnGpyU7J5TYl6UoEN80gHYNHJhI5KpHIEYloowah0mpwtNtpb2qh+XwNzeU1XDtXg73FeusdipBkzEzlu68+hlrr/ZzcjnYbX//sU0xfXfT6WEKI0FZTU0NCQoK/pyHucDdaFxgdp2XxBANhau9XvbN1OLtHflPf7vWxROi4Z/LkAXUKuJWmK1f49uhRr+1f3D59bCwxyckMMhoZFB2N2q3SX4fdTktjIy0mEw2VlVgaGvw4UyGEv4VFRHi8s4wQQniSrAuIQNCfeAEhAsl3/+n7xE68x2v7r//v83z9s0+9tn9xC6NHw7x53glstli6JUKIABceDsnJkJICQ4fC4MHORBmbDa5dg+pqqKyEqipoa/P3bIU/jR7t284yH3wgf0eEEAMm6wKBT5IhgsTtLG54qjq7ELcrM0nH0xkGr4/zm5Nmec8GOLUKDDo1GjXYO8Bs7aBDzj6hQQUx2fcw5JHxxGQNR6W5dVVih72DhuILXN53goaib0HeC3ec2MkjGfuTR7yaENHRbuPM2n3UF57z2hhCiDuHLG6IQHCzdYFxCVrmj/duQoStw8GuE2ZO1UoihOg7Y0oKqdnZXh+noqioW0cBEYBUKrTh4ajUahwdHbS3tYEsSwshevBUZxkhhPA0WRcQgUCSIUQwSnhwLGNenO31cc6u20/tZ2e8Po64AYMBnngCxo3z3D5LS52V3Jubb/29wn9UKhgzBu6/3/l/dR86GHd0wNmz8OWXzv/L+tCdadw433WWOXXKe2MIIe4Ysi4Q+CQZIkgMZHFDqrMLf1k1OZqh/UjGuV1VZhvrCxu9Po4QoruEh8aSOm8KEUnG295H6xUTFbuPUHtYFijvNMbMVMa89AhaQ4TH991ubuXs2r3SEUII4TGyuCECwa3WBUbHaZmXEYle24cbTv1kae9g14lm6Qgh+m30Qw/1K6D1drU0NlJ2+LDXxxFCCOEb0llGCBFoZF1ABAJJhhDBaML/mk/kPd7/+9l8voavVu72+jjiFjIzYeZMiIu7/X3U1UFBAZSUeG5ewjs88e999Srk58u/951KOssIIYKIrAsEPkmGCBKeWtyQ6uzCV4Ybw3juPu8HPLi8+1+NkswjhI9oY/SMeu5h4iaN9Ng+rx49R/l7f6S9weKxfYrA55X3UmHne8kk7yUhhOfI4obor5qaGoqKijh16hTNzc1YrVZ0Oh2RkZGMGzeO7Ozsfl/j92VdwKBT8URaJOMSdQOZfjelNVY+Od1Ms1UWD0T/6GNj+c4DD/hsvG8+/xxLfb3PxhNC3ISrE4hGg8Nul04gYmCks4wQIgDIuoAIBJIMIYJNVNpQxq/9gc/GO/6T32I+fdln44kbcHUKmDIFxo7te6eAM2fgyBHpFBAMvNEJ5NQpZycQs9lz+xTBQTrLCCGChKwLBD7vl2wXXvP1118THx/f69eam5vJy8tj+/btnD59Wnm+wwGNbR033GdaWhqLFy/mySefJDIy0uNzDjR1dXV897vf7fbczV5XcXPbtm3jH//xHwGYkBTu07Ezh4QryRBvvvkmP/rRj3w6vq/Ie9Y75HW9scLCQn7wgx/Q0tICeK+af9ykkUR9N5mzv9qHqaQCgEGDBvHv//7vTJo0yaNjhYJgfs8ePXqUZ555BpPJRHuDhdM//4NHuoy0XDZx8Tfdu4wYjUY++uijPr+Hgvl1DXTy2nqHvK7e0dvrKsSt2O129u3bx86dOyksLKSysvKWP5OSksLkyZNZuHAhs2fPRuNW8bivvv76a86dO6ecW81WBx8eN5OZpGPmSD1x+v7v06XOYqfgnIWSK1bluf6eW4OB/C31LPd1gZjkZJ+OHZOcrCRDyLqA6C95Xfuuurqaf/iHf+BPf/pTt+ddlfz1MTFEREVdV8m/takJS0MDDVVV1yUufe973+Pf/u3fGDp0qE+OIRSE4nv2Rvc0cDhob2294c958p5GKL6ugUJeW++Q19U7ZF1ABBP5nR84+VvqWe7rAvEPjvHp2AkPjlWSIWRdwHccDge/+93veOWVV2hqanImMpw54/wvPBySk7v+GzwYwsLAZoNr16Cqquu/trZu+42OjubnP/85f/u3f4tKpfL6cQTa6xooesYKeK2S/7hxcM89sHs3lJUBEitwK8H8nnWPF8Bshg8/9FpnGYkXCAzyunqPvLbeIesCwUmSIYJYfHz8DbONEhISeOmll3jxxRcpLi6msLCQY8eOUVxczNWrV2lrayM8PJy4uDiysrKYOHEikydPJisryycXEoHsZq+ruLkzZ7oCUIdF3X7Qze1wH+/s2bN31L+hvGe9Q15XqKqqYuHChcriRtyUUYx5aTZqrXc+PmgNEXz31cc4s3Yf9YXnaGlpYcGCBZSWlkpARB8Ey3v20UcfpbS0lOXLl7N3714Aag+fofazM8RkDWfII/cSkz0clebWlWIc9g4aii5wed9xGoovgFuhmDlz5rBly5YBv3eC5XUNRvLaeoe8rkL4Vl1dHVu3bmXz5s1UVFT062crKyvJy8sjLy+P1NRUli9fTk5OTr8WKOPj40lLS7vu3FpyxcpXV6yMidMyZVgEY+O1qPtwrd/hcHCmrp0jl1o5e7Xd/dTqsXNrMJC/pbfPfV1AHxPj07EHGY3KtqwLCE+Q1/V6JSUlzJw5k9raWuU5Y0oKiaNGMSj6xh1i1RoN+pgY9DExxI8YQUtjIzXl5Zg6kwf/9Kc/MX36dPLz88nMzPT6cYSqYH/PBuo9jWB/XQOZvLbeIa+rEHcW+Z33Dnldb5/7uoDhO0k+Hdsw6i5lW9YFfOvHP/4xf/d3f8f777/Ppk2butZJ29rg/Hnnf32UmprKihUrWLp0qd8DOf39uvpbz1gB0tOdiRBhXgo11Oth8WLYtQtOnZJYgdsQLO/Z3uIFKCmBr77yaGcZiRcIbPK6eo+8tuJOJckQIU6lUpGdnU12dra/pyLuACWd2bVqFQyJ9O2flyGRYahVzu4nxcXFPh1biFDkcDhYvnw5DQ0NgKsjhPcSIVzU2jDG/uQRvn7jD5hKKmhoaGDZsmXs2bPnjk/WCyXJycns2bOHnTt3snLlShobG8EBDUUXaCi6gGaQjsEjEogcdReRIxMJM0Sg1mroaLdjM7fSfK6G5vK/cO18LfYWa7d9G41G3nnnHZ555hl5zwghhPAah8PR/TzmJlyjIjlKQ4ohjKFRYQzWqghTq7B1OLjW7qC6yUal2UZVk502u3NhvqKigjVr1rB27VrWr1/PggUL+nUe6+3c6gDOXG3nzNV255wMGpKjwkjuZU5VTTbnf+auObnIuVX0h2tdAJWKiKgon449KDoaVCpwOGRdQAgvKC4u5nvf+55y3guLiGDYhAlE3XXXLX7yeoOio0nNziYmOZlLx49ja22ltraWadOmcejQIUmIuMPJPQ0hhBBCiODlWhdQadQMHu7bQHb98ARcAQOyLuB78fHxvPzyy7z00kvs37+fHTt2cPToUS5dunTLnx02bBiTJk1i0aJFzJo167Y66ArP6hkroHSE8FYihEtYGMyfD9u3Q1mZxAqEsN7jBTzTWUbuaQghxJ1JkiE8yOFwUFRUpFQsKikpoa6uDqvVik6nIz4+nszMTKViUXZ2tpx0RUipq6sDwKBTo9X49r2t1agw6NQ0tnVw9epVn44tRCjauXOnkoWvjdEz5qVHvJ4I4aLWhjHmpUcozt1Bu8nC3r17+eijj1iwYIFPxhe+oVKpWLhwIXPmzLmuUoy9xUrTqSqaTlX1eX+BVClGCCFEaKuqqupesQhQAWPitdyfEsGYW3RhyB4SDji7MJyta+fLylbO1jm7MJhMJhYtWsTHH3/c74pFNzu3ttkdnDfZOG+y9Xl/cm4Vt8O1LqAND0ft4xvXao0GbXg47a2tsi4ghIdVVlYya9YsJRFCHxvLPZMmEabTDWi/UUlJjImN5dujR7HU19PY2MjMmTMpLi4mJSXFE1MXQgghhBBC+JCyLhCjR63zbTiSJjwMXexgrHXNsi7gRxqNhkcffZRHH30UgJqaGoqLiyktLeXatWtKx7fBgweTnp5Odna2VK8OQO6xAhgMvkmEcAkLc473q19Bc7PECoSwm93TCPbOMkIIIXxPkiE8wGw2s2vXLjZs2EBpaekNv6+6upoTJ06wY8cOANLT08nNzWX+/PkYDAZfTVcIr7FandW5w/rQqcwbNJ3jtvXI+hVC9E9dXR0rV65UHo967mG0hgifzkFriGDUcw9z+l/+AMDKlSt55JFH5KI1BEmlGCGEEMHkiy++YO7cuV0VsYDMJB0zR+qJ0/fvPKRWqUhL0JGWoOOqxU7+OQslV5zXVHv37iU9PZ09e/YwderUfu1Xzq3Cn1zrAio/vXdUna3TZV1ACM9xOBwsXbqU2tpawJkIMWLKFDQeCoII0+kYMWUK548cwVJfT21tLTk5Oezbt08KCQkhhBBCCBFkXOsCaq1/1gXUYc5xZV0gcCQmJjJr1ixmzZrl76mIPuoZK8ATT4Be79tJ6PXOcTvj6yRWILTJPQ0hhBCeIMkQA+BwOPjggw948cUXMZlM131drXJWyA9Tg60DzNYOOhxdXy8tLSU3N5c1a9awbt06lixZIjd4RFDTdVaDs3X4Z3x757jh4eH+mYAQIWLr1q1KtceEh8YSN2mkX+YRN3kkCQ+NpfbwGUwmE++//z4vv/yyX+YivE8qxQghhAh0Bw8e5PHHH6elpQUAg07FE2mRjEscWFVsgDi9hqczDNx7l5VPTjdjtjpoaGhg+vTpfPrpp0yfPr3f+5Rzq/AH17qAw273y/iODufCgKwLCOE5H3zwAfn5+QCERURwz6RJHkuEcNGEhXHPpEmcPXQIW2srBw4cYPv27SxZssSj4wghhBBCCCG8y7Uu0NHun3WBDptzXFkXEOL2uccKkJkJ48b5ZyLp6c7xS0okVuAOIfc0hBBCDIQkQ9ymyspKcnJyOHDgQLfnhxvDmJAUzrAoDUMiw9BqupIb2u0OLjfbuNRkp+RyGxWNNgBMJhNLly4lLy+PrVu3SgtwEbTi4+Oprq7GbO2g3e7o9v73tna7A7PVGfQQFxfns3GFCDV2u51NmzY5H6ggdd4Uv87n7qenUPvZGXDApk2beOmllySb/w4hlWKEEEIEkj//+c/dEiFGx2mZlxGJXuvZtnjjEnXcE2Nk98lmyq6209LSwuOPP87BgwcZPXr0gPYt51bhC651gfa2NjrsdtQ+/OzeYbfT3ln5UdYFhPAMs9nMiy++qDweNmECYbqBJwH2JkynY9i99/Lt0aMArF69mqeeeko6KgshhBBCCBFElHWBBgsdVhtqne9CkuxtNqz11wBZFxDidnWPFVDBzJn+ndCMGfDVV+BwSKzAHUjuaQghhOgPz961v0OUlJSQlZXVLREiM0nHqsnRPHdfNFOHRXB3tPa6QHCtRsXd0VqmDovg+b+K5oXJ0WQmdd08OnDgAFlZWZSUlPjsWITwpMzMTAA6HHC52ebTsS8325TOK1lZWT4dW4hQsn//fi5evAhATPY9RCQZ/TqfQUOMxGQNB6CiouK6JEQhhBBCCG+rqqriscceUxIh0hN1LJ5g8HgihIteq2bxBAPjErQAtLS0MHfuXK5cueKV8YTwJNe6AA4HrU1NPh27pbERHM6FAVkXEMIzdu3apXRENqakEHXXXV4dLyopCWNnoSCTycTu3bu9Op4QQgghhLc1NTVRXFzMkSNHKC4upsnH10lC+JprXcBh7+DahTqfjm25UIsrYEDWBYS4Pe6xAowZA/5OLIqPd84DiRUQQgghxM1JMkQ/FRcXM23aNGprawGIClexZIKBpzMMDDX0L6s92RDG0xkGlkwwEBXuTJyora1l2rRpkhAhgtLEiROV7UtNvm196T6e+zyEEP2zY8cOZXvII+P9OJMuQx65V9n+8MMP/TcRIYQQQtxxHA4Hy5cvp6GhAejqCBGm9m4XvDC1ivnjDYyOcyZENDQ0sHr1aq+OKXyvpqaG/fv3s27dOl5//XXWrFnD66+/zrp169i/fz81NTX+nmK/uV+PWzp/b3ylpTNgu+c8hBC3x+FwsGHDBuVx4qhRPhnXfZwNGzbg6ExyEkIIIYQIFqWlpTz//POMGTOG6OhosrOzuf/++8nOziY6OpoxY8bw/PPPU1pa6u+pCuFx7tfj5m98W9jDXP6XXuchhOg791gB7r/ffxNxN2WKsimxAkIIIYS4Ed/1pAsBlZWVzJo1i8bGRgCGG8M8Ug0yLUHHaqOR7V+ZuWCy0djYyMyZMykuLialsxKWEMFg8uTJyvZXV9qYOizCZ2OXXG7rdR5CiP4pLCwEQDNIp3Rk8LeY7OFoBumwt1g5evSov6cjhBBCiDvIzp072bt3LwAGnconiRAuYWrneL/60kSz1cHBgwd9Mq7wHrvdzr59+9i5cyeFhYVUVlbe8mdSUlKYPHkyCxcuZPbs2QHfBt79eryhqor4ESN8NnZDVVWv8xBC3J6ioiIlQE8fG8ug6GifjDsoOhp9bCyW+npOnjxJcXEx2dnZPhlbCCGEEGIgzp07R25uLgUFBTf9vrKyMsrKynjvvfeYMWMGGzduZIQPr52E8Cb36/G6z84ydM4En41d+9mZXuchhOg7V6wA4eFKRwa/GzvWOZ+2NokVEEIIIcQNSWeIPnI4HCxdulTpCDHcGEZOVtSAEyFc9Fo1OVlRDDc681Nqa2vJycmRylciqGRnZ5Oeng7ABZONarPNJ+NWmW1UNDrHysjIkLaXQtymmpoaJSBr8MhEVJrA+Jig0qgZPCIBgEuXLinnYiGEEEIIb6qrq2PlypXK4yfSIj22BtBXeq2aJ9IifTqm8Ly6ujrefPNNRo4cyWOPPUZeXl6fEiHAWZgjLy+PuXPnMnLkSN58803q6uq8POPb574uYKmvp6WzoIi3tTQ2YqmvB2RdQAhPUQIggJjkZJ+O7T6e+zyEEEIIIQLVli1bGD9+fLdECI1WR8q4iUz8/mKmPv33TPz+YlLGTUSj1SnfU1BQQEZGBlu3bvXHtIXwOPd1gabT1TR/65t7es3nazCfvgzIuoAQt8s9VoDkZFAHRqwAarVzPkisgBBCCCFuLEA+uQS+Dz74gPz8fACiwlUsnmBAp/FsNUidxrnfqHDnfg8cOMD27ds9OoYQ3qRSqcjNzVUeH77Q4pNxP3MbJzc3F5XKN5VahQg1RUVFynbkqEQ/zuR6kaPuUrbd5ymEEEII4S1bt25VOkNmJukYl6i7xU94R3qijswk/4wtBsbhcLBjxw5GjRrFmjVrqKioUL4WrlExIiaMv747gh+mR/KjTAPLs6P4UaaBH6ZH8td3RzAiJoxwt7WniooK1qxZw3e+8x127NgRkAU0eq4L1JSX+2Rc93FkXUAIzzh27JiyrY+J8enYg4zGXuchhBBCCBGI3njjDZYvX47FYgHAOCSVuT9Zzyt/rOK5j77kidc28+iL63jitc0899GXvPLHKub+ZD3GIakAWCwWli1bxs9//nN/HoYQHtFzXaDqE998nq/6j657h7IuIMTt6XYPPiXFfxPpjVvRBIkVEEIIIURvwvw9gWBgNpt58cUXlcdPerEapF6r5sm0SD74ygzA6tWreeqpp7wylvAPh8NBUVERhYWFHDt2jJKSEurq6rBareh0OuLj48nMzGTixIlMnjyZ7OzsoLpYnz9/PmvWrMFkMlFyxUpmkpW0BO8F7pyutVJyxQqA0Whk3rx5XhtLiFB36tQpZTtyRIAlQ4zsmk9paSmzZs3y42yEEEIIEersdjubNm0CQAXMHKn363xmjNTz1RUrNwp9r6mpoaioiFOnTtHc3KxcX0ZGRjJu3Diys7NJTAysz3ehrqqqiuXLl7N3717lORUwJl7L/SkRjInXor7JtX72kHAAOhwOzta182VlK2fr2nEAJpOJRYsW8fHHH7NlyxaGDh3q5aPpn/nz5/OP//iPNDY2YqqsJCY5maikJK+N13TlCqbOqnWyLiCE55SUlDg3VCoioqJ8Ovag6GhQqcDhoLi42KdjCyGEEEL0x5YtW3jttdeUx5OeXMbsF35JuP7GXR4jDNHc/8Ncsh9bwP71L3M0bwsAr776KomJiSxbtszr8xbCm9zXBWo/O0PCg2OIvW+E18ar/+/z1H52BpB1ASEGwj1WgABbb3RPhpBYASGEEEL0RpIh+mDXrl2YTCbAWQ3Sm4HdAGkJzqqPJVesmEwmdu/ezRNPPOHVMYX3mc1mdu3axYYNGygtLb3h91VXV3PixAl27NgBQHp6Orm5ucyfPx+DweCr6d42g8HAunXrWLp0KQB5p5tZbTR6JYHI0t5B3ulm5fFbb70VFK+REIGqubnr90kbNciPM7lemCFC2b527ZofZyKEEEKIO8H+/fu5ePEi4Axej9Nr/DqfeL2GMXFazlxt7/b8j370I0pKSrral99ESkoKkydPZuHChcyePRuNxr/HFMq++OIL5s6dS0NDg/JcZpKOmSP1/X4vqVUq0hKca1FXLXbyz1mUggB79+4lPT2dPXv2MHXqVI8ew0AYDAZef/11Vq1aBcCl48cZExtLmM7z62k2q5VLx48rj2VdQAjPqaurA0AbHo7ax+cMtUaDNjyc9tZWrl696tOxhRBCCCH66ty5c8p1D8Aj/7CWB+a/0OefD9dH8v017xI3bCT73v4pAKtWreLhhx9mxAjvBY4L4W091wXK3/0jme8uQOt2r89T2s2tlL/7R+WxrAsIcfvcYwUYPNh/E+mN23wkVkAIIYQQvfFOe4MQ4nA42LBhg/L4oeG+CQ590G2cDRs24HDcqP6jCHQOh4Nt27Zx9913k5ube10ihFoF0eFq4gapiQ5Xo+5RGLK0tJTc3Fzuvvtutm3bFhTvhSVLlvC9730PgKY2B9u/MmO1e3beVruDD0rMNLU59zt79mwWL17s0TGEuNNYrVZlW6UNrOA4tdt82tra/DgTIYQQd6La2lr279/PunXreP3111mzZg2vv/4669atY//+/dTU1Ph7isLDXMnpAPeneP5G7e2YMuz6eezZs6dPiRAAlZWV5OXlMXfuXEaOHMmbb76pBLoKzzl48CDTp09XEiEMOhWL7jXwdIZhwEk1cXoNT2cYWHSvAYPOuXjQ0NDA9OnTOXjw4IDn7klPP/20sm1rbeXbo0ex22weHcNus/Ht0aPYWlsBWRcQwtNcawQqPyXPqdTOWxeyBiCEEEKIQJWbm4vFYgGcHSH6kwjh7oFnVjHpSWc3CIvFwrPPPuupKQrhN+7rAtb6a5x+41Psre03+Yn+s7e28/Ubv8da7wyMlnUBIQbGPVaAsACrrew2H1knEEIIIURvAuzTS+ApKipSgteHG8MYavDNS5ZsCCM1OoyKRhsnT57kxIkTPhlXeFZlZSU5OTkcOHCg2/PDjWFMSApnWJSGIZFhaDVdGRDtdgeXm21carJTcrmNikZnsIDJZGLp0qXk5eWxdetWUlJSfHos/aFSqfi3f/s3JkyYAMAFk42txU0snmDwSIcIS3sHH5SYldcmISGBLVu2oFKpbvGTQoib0blVanW02/04k+t1uM0nPDzcjzMRQghxJxo3btwtv0eq7oeWwsJCAMI1KsbEa/08G2eSvdna++ezcI2K5CgNKYYwhkaFMVirIkytwtbh4Fq7g+omG5VmG1VNdto6k9QrKipYs2YNa9euZf369SxYsECupzzgz3/+M48//jgtLS0AjI7TMi8j0uOdEscl6rgnxsjuk82UXW2npaWFxx9/nIMHDwZMh4ie7ydLfT3njxzhnkmTPNIhwma18u3Ro1jq64HAXReoqamhqKiIU6dO0dzcjNVqRafTERkZybhx48jOziYxMdHf0xSiV641AofdP+sDjo4OQNYAhBBCCBGYTp48SUFBAQDGIanMfuGXA9rf7Bd+ydkv8jFdrqCgoIDS0lLS09M9MVUh/KLn9XnT6WpOvfYfpL36uEc6RLSbW/n6jd9jPn0ZCNx1ASGCiXusAB4uajJgbvORdQIhhBBC9EaSIW7BFQABMCHJtx+oMoeEK8Hex44du+7rDoeDY8eOUVhYyLFjxygpKaGurk65sRofH09mZiYTJ05k8uTJZGdny8WfD5WUlDBz5kxqa2uV5zKTdDw0fNBNk2q0GhV3R2u5O1rL1GERVJltfHahhZIrzizsAwcOkJWVRX5+PpmZmV4/jts1dOjQbo8vmGy8dcTEk2mRpCXcfuDD6VoreaeblY4Q0dHR5OfnB3RyiBDBIjIyUtlub2rx40yuZzO3KtuDA60tpxBCiJBRV1fHO++8c1s/66q6n5eXR2pqKsuXLycnJ4f4+HgPz1J4W01NjdJtITlKg9rP19GXzTY+OmGm1tKhPKcCxsRruT8lgjHx2pvOMXuIcy2jw+HgbF07X1a2crauHQfOpPtFixbx8ccfs2XLluuu40TfVVVV8dhjjymJEOmJOuZlRBLWs/2jh+i1ahZPMLDrhJlTtc6EiLlz51JaWhqw/46W+nrOHjrEsAkTiLrrrtveT9OVK1w6flzpCBFI6wJ2u519+/axc+dOCgsL+9S5RZLpRKCKj4+nurqa9rY2Oux21D58b3bY7bR3VnqMi4vz2bhCCCGEEH21efNmZfuBZ1YRro+8yXffWrg+kgeeeYE9a1cp+//1r389oH2K4NHU1ER5eTltbW2Eh4czatQooqKi/D0tj2s6XU3J8zsZ9ePpxE6857b3U//f5yl/949KR4hAWhcQIpi5xwpw7Zr/JtIbt/lIrIAQQggheiPJELfgnoQwLMq3NyPdxzt+/Ph1X3/ooYc4ffr0DX++urqaEydOsGPHDgDS09PJzc1l/vz5GAwGz09YKIqLi/ne975HY2MjAFHhqttOAkg2hPF0hoHMpK4kgNraWqZNm8ahQ4cCOiGip6Y2Bx98ZSYzSceDwweR3I9OKz2TQsBZ4aGgoEDpQCGEGBj3qtfN52tInJbmx9l013yuRtmWakhCCCE8zeFwsHPnTlauXKl8hnfRDNIxeGQikaMSiRyRiDZqECqtBke7nfamFprP19BcXsO1czXYW5yfVaXqfnArKipStlN81B2yNw6HgwPnLPzp29Zuz2cm6Zg5Uk+cvn9rFGqVirQEHWkJOq5a7OSfsyjXV3v37iU9PZ09e/YETGeBYOJwOFi+fDkNDQ1AV0cIbyVCuISpVcwfb2D7V2bKrrbT0NDAsmXL2LNnT8D+zbG1tvJtYSHGlBQSR41iUHR0n3+2pbGRmvJyTG4JBoGyLlBXV8fWrVvZvHkzFRUV/fpZSaYTgSozM9PZrdjhoLWpCX1MjM/GbmlsBIezEEpWVpbPxhVCCCGE6KuDBw8CoNHqyJozzyP7zJozn31v/xR7u1XZvwhdpaWlbNq0iYMHD1JWVnbd10ePHs306dNZsWJFSN0Xs9Zf4+t//j0JD44l+W+yiRzR926JzedrqPqPImo/O6M8FyjrAkKEgm4dsqurITvbf5PpqapK2Qylv4lCCCGE8BxJhriFkpISANQqGBLp25drSGQYahV0OHDeeOqhZyKEWgUGnZowNdg6wGztoMPR9fXS0lJyc3NZs2YN69atY8mSJQF7czyYVVZWMmvWLCWIargxjMUTDOi16gHtNy1Bx2qjke1fmblgstHY2MjMmTMpLi4OuioHJVeslFyxkhodRuaQcIZFaRgSGYZW0/V+bLc7uNxs41KTnZLLbUqXFJdZs2axdevWoDt2IQJZttuCRnN5zU2+0/eay/+ibGcH0sKLEEKIoFdVVcXy5cvZu3dv15MqiMm+hyGPjCcmazgqzY0/y7uSBx32DhqKL3B53wkair4Fh1TdD1anTp1StodG+WfZpLHVzo7jZi412ZXnDDoVT6RFMi7x9jvtucTpNTydYeDeu6x8croZs9VBQ0MD06dP59NPP2X69OkDHuNOsnPnTuVviEGn8kkihEuY2jner7400Wx1sHfvXj766CMWLFjgk/H743vf+x5/+tOfADBVVmKqrEQfG0tMcjKDjEYGRUd3qzzfYbfT0thIi8lEQ2Ulls5kE5dAWBe4WTJduEZFcpSGFEMYQ6PCGKxVEaZWYetwcK3dQXWTjUqzjaomO2125wKeJNOJQDJx4kSlyI6locG3yRAmU7d5CCGEEP62bds2zpw5Q0lJCXV1dVitVnQ6HfHx8WRmZjJx4kQmT55Mdna2fH67AzQ1NSnB60NGjyfC0Pck75uJMEST9J0Mqr4uoqysDLPZLAUOQ9C5c+fIzc2loKDgpt9XVlZGWVkZ7733HjNmzGDjxo2MGDHCR7P0Dvd1gdrPzlD72RkMaUNIeHAshlF3oR+egCa8ay3O3mbDcqEWc/lfqD18BvOZy932FwjrAkKEkm734PvQ7dSn3JIhJFZACCGEP8i6QOCTZIhbqKurA5xJBu6B2r6g1agw6NQ0tnVQU9N7UOpwYxgTkvoXTG4ymVi6dCl5eXlycehhDoeDpUuXUltbCzj/fXKyotB56L2j16rJyYpia3ETF0w2amtrycnJYd++fUHxR3T9+vW8/vrrmDpvaFY02pT3pSuZR6MGey/JPC5Go5G33nqLxYsXB+wxOxwOioqKKCws5NixY3ISFEEjMTGRlJQUKisruXauBoe946bBn77isHdw7bzz7+qwYcNISEjw84yEEEKEii+++IK5c+cq1dwBEh4aS+q8KUQkGfu1L5VGTex9I4i9bwStV0xU7D5C7WFnlTKpuh9cmpuble3BWt9/Tv/W1M77xU1Yu/IglE4DA02y72lcoo57YozsPtlM2dV2WlpaePzxxzl48KC8V/uorq6OlStXKo+fSPP8v9Ot6LVqnkiLZMdxMwArV67kkUceCbjOAv/7f/9v/vM//5PVq1cr6wKW+nos9fXOb1Cp0IaHo1KrcXR00N7WplSGdxco6wK9JdOpgDHxWu5PiWBMvBb1TeaXPSQcgA6Hg7N17XxZ2crZunYcSDKdCAyTJ09Wthuqqoj3YeBVg1uQg/s8hBBCCH/5x3/8x16fr66u5sSJE0oCYXp6Orm5ucyfP1+C2ENYeXm5sp30nQyP7nvI6PFUfV2Ew+GgvLyczMxMj+5f+NeWLVtYtWoVFotFeU6j1TFk9HiSvpNBuN5Am8XMlW9OcrnsBPZ2Z0fPgoICMjIyWL9+PTk5Of6a/oD1ti5gPn0Z8+nOJAe1Cl3sYNRhGjpsdqz11+gtYCBQ1gVuRGIFRLByjxWgqgo6OkDt/1gBOjqUZAiJFRBCCOEvsi4Q+ALgU0tgs1qdF5hhfnql1CrnxZ0rKcMlM0nHqsnRPHdfNFOHRXB3tPa6ZA2tRsXd0VqmDovg+b+K5oXJ0WQmdVWQPHDgAFlZWUr3CzFwH3zwAfn5+QBEhatYPMHgsUQIF53Gud+ocOd+Dxw4wPbt2z06hrc8/fTTXLx4kY0bN17Xuq7DAY1tHdS3dNDYdn0iREZGBhs3buTixYsB29XEbDazceNGxo8fz3333cePf/xjduzYwYkTJ6iurqaurq7bCfDHP/4x9913H+PHj2fjxo2YzWZ/H4IQSpCBvcVKQ/EF/06mU0PRBewtzvPxpEmT/DwbIYQQoeLgwYNMnz5dSYTQxuhJe+Uxxqye3e9EiJ4ikoyMWT2btFceQxujB1Cq7h88eHCgUxde5loHAHxW3d+l7KqVLce6J0KkJ+o80m3wRvRaNYsnGBiXoAWgpaWFuXPnUl1d7ZXxQs3WrVuVjgCZSTqPdO64HemJOmXNx2Qy8f777/tlHjejUqlYsmTJDdcFcDhob23FarHQ3tp6XSJEIK0LfPHFF2RkZHRLhMhM0vHTqUZ+lBlFWoLupokQ7tQqFWkJOn6UGcVPpxq7rd25kum++OILjx+DELeSnZ2t/J5a6utp6dH9xFtaGhuVJKmMjAyysrJ8Mq4QQggBzgDW3bt33/gbVCq0ERHoBg9GGxEBPT7zlZaWkpuby9133822bdtw9JLcK4JfW1ubsh2u92xwi25QpLLd2tra759vamqiuLiYI0eOUFxcTFNTkyenJwbgjTfeYPny5UoihHFIKnN/sp5X/ljFcx99yROvbebRF9fxxGubee6jL3nlj1XM/cl6jENSAbBYLCxbtoyf//zn/jyMAbnlukCHA2tdM61XGrHWNV+XCBFI6wK9kVgBEQqUggRtbXD2rH8n43LmjHM+SKyAEEII77vVuoBKo0YXH0nEkGh08ZHXFRmWdQH/kc4Qt6DTOW9A2jp8P7ap1U5Ta/dfhqhwFU+mRZKW0P+b68mGMJ7OMJCZZCXvdDNNbQ5qa2uZNm0ahw4dksoSA2Q2m3nxxReVx096sRqkXqvmybRIPvjKeUG8evVqnnrqqaDIJjMYDKxYsYLly5dTXFysVEQoLi7m6tWrtLW1ER4eTlxcHFlZWUpFhKysrIBb0HBxOBx88MEHvPjii0oVC3eurhdhauffkp5dL1wnwTVr1rBu3bqAXLwRd46FCxeSl5cHwOV9J4i9z/8tdy/vO65sL1q0yH8TEUIIETL+/Oc/8/jjj9PS0gKAMTOVMS89gtYQ4dFx4iaNJOq7yZz91T5MJRVSdT9IuNYBAGy9tavzkm8b2tleYsbmNqSrI4S3kzLC1Crmjzew/SszZVfbaWhoYNmyZezZs0euTW7CbrezadMmwNkRYOZIvV/nM2Oknq+uWHEAmzZt4qWXXkKj0fh1Tr0J9nWBgwcPdjuHGHQqnkiL9EgiTJxew9MZBu69y8onp5sxWx1KMt2nn37K9OnTBzyGEH2lUqnIzc0lNzcXgJryclKzs70+bo1bpeXc3NyA+L0XQghxZ6isrCQnJ4cDBw50e14fG0tMcjL6mBgioqJQu33G7rDbaW1qwtLQQENVlZLQZzKZWLp0KXl5eWzdupWUlBSfHovwrvDwcGW7zeLZ4GVrS1e3yoiIvq1TlZaWsmnTJg4ePEhZWdl1Xx89ejTTp09nxYoV1wefC5/YsmULr732mvJ40pPLmP3CLwnXR97wZyIM0dz/w1yyH1vA/vUvczRvCwCvvvoqiYmJLFu2zOvz9pZgXxfo6VaxAiqNGm2MHrVWQ0e7nfYGCw57VwCSxAqIQOIeK8CXX0Jamn8nBHDkiLIpsQJCCCG86UbrAlFpQ4l/cAyG7yQxeHg8al1X2H2H1ca1C3WYv7lC7WdnlK5nsi7ge5IMcQvx8fFUV1djtnbQbndc133BW6qabGwuasStGCTDjWEeqQaZlqBjtdHI9q/MXDDZaGxsZObMmRQXF8sv3QDs2rVLubjNTNLdVsJKf6QlOKs+llyxYjKZ2L17NytWrPDqmJ6kUqnIzs4m2wc3Ub3pRifB4cYwJiSFMyxKw5DIsG5/O9rtDi4327jUZKfkchsVjTZAToIiMMyePZvU1FQqKipoKPqW1iumAVfHHoiWyyalQ0VqaiqzZs3y21yEEEKEhqqqKh577DEliDVuyijGvDQbtdY7l8daQwTfffUxzqzdR33hOaXqfmlpKUOHDvXKmGJgIiO7bkRfa/dNMkRjq53tX3VPhDDoVD5JhHAJUzvH+9WXJpqtDvbu3ctHH33EggULfDJ+MNq/fz8XL14EYEy8lji9fxMP4vUaxsRpOXO1nYqKCg4cOMCcOXP8OqebCcZ1gZ7JdK6EJU8XwxiXqOOeGCO7TzZTdrW9WzLd6NGjPTqWEDczf/581qxZg8lkwlRZSUxyMlFJSV4br+nKFUyVlQAYjUbmzZvntbGEEEIIdyUlJcycOZPa2lrlOWNKComjRjEoOvqGP6fWaNDHxKCPiSF+xAhaGhupKS9XzmcHDhwgKyuL/Px8KUoXQkaNGqVsX/nmpEf3fbnsBOC8XnIf50b+9m//lsOHD9/0e8rKyigrK+O9995jxowZbNy4kREj/F8I605x7tw5Vq1apTx+5B/W8sD8F/r88+H6SL6/5l3iho1k39s/BWDVqlU8/PDDQf/vGIzrAj1JwJwINe6xApw9C1evQlyc/yZUV6d0qJBYASGEEN7U27pAwoNjSX5iIpH3JNzw59S6MAyjkzCMTmLonAk0n6+h6j+KqP3sDCDrAr7knbL1IcT1BuxwwOVmm0/GrGyysfFYIy1uww03hpGTFeWxm6t6rZqcrCiGG50XXbW1teTk5EhbltvkcDjYsGGD8vih4YN8Mu6DbuNs2LBB/v18rKSkhKysrG6LG5lJOlZNjua5+6KZOiyCu6O11yVRaTUq7o7WMnVYBM//VTQvTI4mM6krecZ1EiwpKfHZsQjhotFoWL58ufOBAyp2H7n5D3jZxd8cgc4/bStWrAjIyrZCCCGCh8PhYPny5TQ0NACujhDeS4RwUWvDGPuTRzBmOtvau6ruy+f3wDRu3Dhlu7rJ++sADoeDT05fo8XW/f3whBe7Dd6IXqvmibSuZJCVK1dSV1fn0zkEkx07dijb96d4trPM7ZoyrGseH374of8mEoJ6JtOlJ+o8UrTkRvRaNYsnGBiXoAVQkumuXLnilfGE6I3BYGDdunXK40vHj2OzWr0yls1q5dLxrs6Qb731VlB0wRVCCBH8iouLmTZtmhLwEBYRwT2TJ5OanX3TRIjeDIqOJjU7m3smTSKss6p/bW0t06ZNk3s+ISQqKkpJUr5cdoJWc6NH9ttqblSSK0aPHt2nz0LuiRAarY6UcROZ+P3FTH3675n4/cWkjJuIRtt1D7KgoICMjAy2bt3qkTmLW8vNzcVisQDOjhD9SYRw98Azq5j0pLMbhMVi4dlnn/XUFMVt6i1WIOHBsUz4X/MZv/YHDJ0zAcPopG6JENAVMDd0zgTuXftDJrwzj4QHxypfl1gB4U/dYwUckJ/v3wkVFDjngcQKCCGE8J6e6wK62MF895++z5gXZ980EaI3kSMSGfPibL772uPoYgcDsi7gK5IMcQsTJ05Uti812W/ynZ5harXzfnETbW5DRYWrWDzBgM7DXSl0Gud+o8Kd+z1w4ADbt2/36Bh3iqKiIkpLSwFn4spQg2+ariQbwkiNdo518uRJiouLfTKuuP4kGBWuYskEA09nGPr9759sCOPpDANL3H4f5SQo/CknJwej0QhA7eEzXD16zi/zuFp4jtrDzkxZo9HI0qVL/TIPIYQQoWPnzp3s3bsXAG2MnjEvPeL1RAgXtTaMMS89gtaoB1Cq7ovA416NrtLs/WSIosttnK5r7/ZcZpKOcYne7TZ4I+mJOiVZ22Qy8f777/tlHsGgsLAQgHCNijHxWj/PxmlsvJbwzvWjo0eP+nk2oaNnMp2rI4S3O7eEqVXMH29gdJzz/dXQ0MDq1au9OqYQPS1ZskSpvGhrbeXbo0ex2zx7frTbbHx79Ci21lbAWYly8eLFHh1DCCGE6E1lZSWzZs2isdEZzK6PjWXMtGlE3XXXgPYblZTEmGnT0MfGAtDY2MjMmTOp7OwYIYLf9OnTAbC3Wyneu9sj+yzeuwt7u7Xb/vvCOCSVuT9Zzyt/rOK5j77kidc28+iL63jitc0899GXvPLHKub+ZD3GIc4iHRaLhWXLlvHzn//cI/MWN3by5EkKCgoA57/T7Bd+OaD9zX7hl8q/Y0FBgRKfIHxPAuZEKHOPFaCkBE6d8s9ESkud4yOxAkIIIbyn57pAVNpQMt9dQOzEewa039j7RpD57gKi0oYCsi7gC5IMcQuTJ09Wtr+60ubVsRwOBx9/fY1r7d2rQT7pxWqQeq2aJ92qPq5evRqz2eyVsUKZKwACYEJSuE/HzhzSNZ77PIT39DwJDjeGsXqKkbSEgQUrpSXoWD3FqHRskZOg8Jf4+HjWr1+vPC5/74+0m1t9Ood2cyvl7/1RefzOO+8QHx/v0zkIIYQILXV1daxcuVJ5POq5h9EafFvJXWuIYNRzDyuPpep+YEpMTFTa0Fc12enwYgePa9YOPj1r6facCpg5Uu+1Mftixkg9rhDvTZs2Ybd7vzhEsKmpqVGu1ZKjNKhV3g2K7yu1SkWywVkh7dKlS93a+Yrb555MZ9CpfJII4RKmdo4XqXOOd/DgQZ+MK4SLSqVi69atJCQ4A3os9fWcP3LEYx0ibFYr548cwVJfD0BCQgJbtmxBFSB/V4UQQoQuh8PB0qVLlc/M+thYRkyZQpjOM4npYTodI6ZMURIiamtrycnJkS6RIWLFihXK9ucfvU2bpXlA+2uzNPP5R+t73b/Lzp07r3tu0pPLeOHjEu7/YS4Rht47mUQYorn/h7m88HGJ0lkA4NVXX2XLli0Dmre4uc2bNyvbDzyzinB95E2++9bC9ZE88MwLve5f+I4EzIlQ1zNWgE8+AYvlht/vFRaLc9xOEisghBDCG3quC0SlDWXcz/7GYzEEWkME4372N8rnO1kX8C5JhriF7Oxs0tPTAbhgslHtxaqQ/13dRtnV66tBDjTA+lbSErpXfdy92zPVK+4kx44dU7aHRfm2LZv7eO7zEN7R8yQ43BhGTlaUxxKW9Fo1OVlRSkKEnASFvyxYsIA5c+YA0N5g4eyv9tHR7v3KyAAd7TbOrt1Lu8m5qPLoo4/yzDPP+GRsIYQQoWvr1q3KDaqEh8YSN2mkX+YRN3kkCQ85255L1f3A5SqM0GZ3cLZH1wZPOlrVRqut+2f9MfFa4vT+bfcdr9cwprMSfUVFBQcOHPDrfAJRUVGRsp3io+6QfZUc1TUf93mK29Mzme4JLxYtuRG9Vs0TaQMLmhFiIFJSUsjPzyc62hlgZ6mv5+yhQzT95S8D2m/TlSucPXRISYSIjo4mPz9fSUoUQgghvOmDDz4gPz8fgLCICO6ZNAlNmGc/22vCwrhn0iTCIpyBFAcOHGD79u0eHUP4R3p6OjNmzADAdLmC/etfHtD+9q9/GdPlCgBmzJjBuHHjun39jTfe4MUXX+z23CP/sJbvr3m3zwH24fpIvr/mXR5Z9a/Kc6tWreL8+fMDmru4MVcyu0arI2vOPI/sM2vOfDRaXbf9C9+RgDlxp3CPFcBsht27wcNdIm/IZoNdu6DZmWgosQJCCCG8xX1dQBc7mLRXH0cT4dlO8JoILWmvdnUAk3UB75FkiFtQqVTk5uYqjw9faPHKOK02B/9Zdn0m7UPDB3llvJ4edBtnw4YNcjHVT672hGoVDIn0bRDEkMgwXMUIi4uLfTr2ncj9JBgVrmLxBAM6jWcr1ek0zv1GhTv3KydB4Q8qlYrNmzcTExMDgKmkgjNrvZ8Q0dFu48zafZi+ughATEwMmzdvloqQQgghBsRut7Np0ybnAxWkzpvi1/nc/fQUXGX3pep+YFq4cKGy/WWldzpkdTgcHOll3/en+LZjyY1MGdY1jw8//NB/EwlQp9zaww+NCtxkiNLSUj/OJDS4J9NlJukYl+jdoiU3kp7YVcxECH/IzMzk0KFDSocIW2sr3xYWUlFUREvn70hftTQ2UlFUxLdHj2JrdZ4LExISOHz4MJmZmR6fuxBCCNGT2WzuFlg+bMIEj3WE6ClMp2PYvfcqj1evXo3ZbPbKWMK3Nm7ciF7v7Ox4NG8Ln3/09m3t5/OP3uZonrNDg16vZ+PGjd2+vmXLFl577bVuz016chkPzH/htsZ74JlVSocIi8XCs88+e1v7ETfX1NREWVkZAENGj79h547+ijBEk/SdDADKysrk74mPScCcuFP0jBWgrMyZoODthAhXIsQ33wASKyCEEMJ7eq4LjPrxdI8luPakNUQw6vmHlceyLuAdkgzRB/Pnz8doNAJQcsXK6VrPtAB3V3y5jZYe1SCHG8MY6qPqgsmGMFKjnWOdPHlSgur7qa6uDgCDTo3Ww4Hxt6LVqDDonL/KV69e9enYd5qeJ8EnvVgNUq9V86Rb1Uc5CQp/SE5OZs+ePQwa5EyYqy88x9dv/IF2s3cCAtvNrXz9s0+pLzwHOBf99+zZw9ChQ70ynhBCiDvH/v37uXixM9Eu+x4ikox+nc+gIUZisoYDUnU/UM2ePZvU1FQAzta1c9Xi+YSVM3XtmFo7AAjrvKwI16gYE+/ZG6i3a2y8lvDO69ujR4/6eTaBp7mzMhnAYG1g3Yxzn8+1a9f8OJPg555MpwJmjtT7dT4zRuoJrHebuNNkZmZSXFzMrFmzlOdMlZWUHT7MN59/Tt3581yrr6ejR6Jnh93Otfp66s6f55v/9/8oO3wYU2Wl8vVZs2ZRXFzMhAkTfHUoQggh7nC7du3CZDIBYExJIequu7w6XlRSEsbOzkcmk4ndu3d7dTzhGyNGjODtt7sSIPa9/VN+/4vnabM03+SnurRZmvn9L55n39s/VZ5bv349I0aMUB6fO3eOVatWdfs545BUZr/wywHNffYLv8Q4xLnuUVBQIIn0XlBeXq5su5IXPGXI6PGAs0uB+zjCuyRgTtxpesYKcOoUbN8OlusL/XqExQIffOAcB4kVEEII4V3u6wIJD44lduI9Xh0v9r4RJDw4FpB1AW+RZIg+MBgMrFu3Tnmcd7oZS3uHx/bvuEE1yAlJ4R4boy8yh3SNV1hY6NOxg53V6kyQCfPTb5Smc9y2tjb/TOAO4X4SzEzSkZbg3YqMaQldVR/lJCj8ZerUqXz66afKIoeppILi53Zw9eg5j45ztfAcxbk7lI4Qer2eTz/9lKlTp3p0HCGEEHemHTt2KNtDHhnvx5l0GfJIV1VIqbofeDQaDcuXLwfAAeSf8/wNnqLqrus3W+cSQ3KUBnWAVLlSq1QkGzQAXLp0idraWj/PKLC41gEAwtSB8W/m4j4fWScYGPdkujHxWuL0Gr/OJ16vYUxcYCRMiTtXSkoK+/btY9u2bUoBIQBLfT1VJ09S/vnnnNy7l6/z8zl98CBf5+dzcu9eyj//nKqTJ7E0NCg/YzQa2bZtG/v27SOlM0BUCCGE8DaHw8GGDRuUx4mjRvlkXPdxNmzYgMPhuMl3i2CxbNkyfvaznymPj+ZtYf1TmXz52/doNffePavV3MiXv32P9U9lKh0hAN544w1ycnK6fW9ubi6WHkGnDzyzinB9JAMRro/kgWdeUB5v3rx5QPsT13O/Hg/XGzy6b92grn//1lbvFDAT15OAOXEn6hkrQFkZrFunJCx4TGkp/OpXSkcIiRUQQgjhTT3XBZKfmOiTcZP/JlvZlnUBz5NkiD5asmSJUvGqqc3B9q/MWO2eeTNWNtm50uysluVevW9YlG9vsLqPd+zYMZ+OHex0na1zbZ7LkekXe+e44eG+TaC5k/Q8CT40fJBPxn3QbRw5CQp/mT59OgcPHlTaYLY3WDj98z9w9q39tF4xDWjfLZdNnH1rP6f/5Q+0m5wL+jExMRQUFPDwww/f4qeFEEKIvnEle2sG6ZSODP4Wkz0czSDndYRU3Q9MOTk53bpEnqrxbJfIikZnS3H3pPoUH3WH7KvkqK75FBUV+XEmgce1DgBg6wis6zT3+cg6wcC4J9Pdn+Kdao/9NWVYYMxD3NlUKhVLlizh4sWLbNy4kfT09O7f4HDQ3tqK1WKhvbUVeqxnpaWlsXHjRi5evMiSJUtQBUgioBBCiDtDUVGRUgVfHxvLoOhon4w7KDoafWwsACdPnqS4uNgn4wrve/XVV9m8eTN6vbOTnOlyBXvWruLnDyfz7vwpfPKz5ez51Wo++dly3p0/hZ8/nMyetaswXa4AnAGfW7Zs4ZVXXum235MnT1JQUACAWuO8PtdodWTNmeeReWfNmY9G67y2PXjwoEf2Kbq4X4+3WTxb0d/a0tV9JCJCrhF9QQLmxJ2sZ6wAZjN8+CH85jdw9erAdl5X59zPjh3Q2YlXYgWEEEJ4m/u6QFTaUCLvSfDJuJEjEjGkDQFkXcAbJBmij1QqFVu3biUhwfnGv2CysbW4ySMdIi42tivbms7qfWoVDIn0bRDEkMgwXMUD5Retf+Lj4wEwWzto91CSTF+12x2Yrc73YVxcnE/HvpO4nwSHG8MY6qMgpWRDGKnRzrFOnjzJiRMnfDKuED1NnTqVkydPMmfOHOW52sNnOLZsO6de/z/U/9d5HPa+nRMd9g7q/+s8p17/PxQt307t4TPK1+bMmUNpaalUeRBCCOExNTU1VFZWAjB4ZCIqzf/P3t/HRX3f+f7/Yxiur0EgKhgikqARjYD5qvXbTeyJ8SrRtkl79lTj1Wr0kPS4XZNtjqdps027+a41p2bXxKsYo9Ge7onp1loviP2dmNMm4q5AVLyMGlFQAwgDwzXMzO+PkQ8D4gU6V8Dzfrt58zPDzOf94sPAzOf1eb3eb/84DTaZA4hIc55fatZ9/5SQkMDq1auN2x+5cZXIuhY7Nc3OfUWHdLwmB0f7bzNE+/mQOEVGdszCWN/qXxeiXeOJiIjwYSS9X3szXYjZREaCf6zIMDwhiBCzCsfFP0RFRbF06VKOHj3K4cOHWbNmDfPnz2f06NEkJyeTkJDAoEGDbnjegQMHWLp0KVFR7p0hV0RE5E60f8YDiEtO9urYruO5xiG93/PPP8+xY8d48sknjftsrS2UnSjg8O838/n/+hcO/34zZScKsLV2TLbw5JNPcuzYsRtWhIDOqzXYbc4JFQY9NJrQKPc08IRGxTDwwVEAnDlzBqvVvQX7/V26y2owV7885tZ9XznjvF5sMpk6jSOeo4I56e+6qxWgqAj+6Z9g0yY4cQLsd5g7t9udj9+0CVaudO7nOtUKiIiIN7iejyc8luHVsdtX/uoah9w7/7rK7udSUlLIy8tj0qRJ1NTUcMHSxpsHLTw7IpIRicG338FNFLvMLmm7PntfVHAAQV6+sBlkNhEVHEBNs51r99q9289kZWVx9OhR7A64UtfG/THeu0B+pa6N9kkfs7OzvTZuf+P65jNmoHdn1swaFGLMGqtVW8SXkpOT2bVrF1u3bmXZsmXU1NSAA6oLLlBdcAFzWDARaYlEpt9H5LAkAqNCCQgyY2+10WZtou5cOXVnv6b+fAW2xs4zK8fGxvLWW2/x3HPPaUZIERFxK9fZ7CPTk3wYyY0i0++j9ngZ4IyzfTVC8R9z587lww8/ZPfu3VhbHGw/VseCMVEEBtzb55XS2jZjOzLIRFWjc9t1tUh/4BpPfX29DyPxPyNHjjS2L9e2kTPIf1ZgKHN5fd0wW7vcMddmuuRoMwF+cp4SYDKRHGXmvKXt9g8W8RKTyUROTg45OTk3fK2iooKkpKQbHi8iIuIrrtdZwttnOPaSsOurD3aNQ/qGtLQ08vLyKC4uZv369ezfv58zZ850msndZDLx0EMPMXnyZJYuXdrp3LKr9tUaAgIDsbc5P/+3Ny+4y6CHRlN2ogCHw8HZs2fJyspy6/77s+joaB566CHOnDnDlTNHabLWuKWRpclaYzRXPPTQQ2ow9hJfF8xZT14x4rj//vu9Or5Iu+5rBRxw6pTzX0gIJCd3/IuIgMBAaGuD+nooK+v419zcad+qFRAREW9yPR+PenCgV8eOSr+v2zjk3qkZooeysrL45JNPmDJlChUVFdQ2O3jvCytZA4N57IEwknswW3yZtY1PLzRyttqZvAgwQXsqJNBHk5W2T5La3OWDp9za2LFj2bJlCwCXam1ebYa4VGvrFId4huubz5Bos1fHdh3vyJEjXh1bpCuTycS8efOYMWMG7777LuvWraOkxLmUs62xhdrjZUZR551ITU1l6dKlLFq0yFhlR0RExJ2OHz9ubEem+VkzxLCOeIqLi9UM4YdMJhPr169n1KhRVFdXc+ZaK9uOWpkz+t4aIq7WdZzHRQQHAM7b99pk4W6u8ShP0JlrwW+p1b+K0l2bIborTJY749pMl+Kl1SHvVHJ0oJohRERERO5SUfvswyYTodHRXh07LCYGTCZwODS7dx+WmZnJv/zLvwBQW1vLuXPnaGpqIjQ0lPT09DsqXq+treXMmTMADBiSTsVXzhW2Q8LdW/geHNax6mFTU5Nb9y0wefJkzpw5g621hcLd2/nGX+fe8z4Ld28zVheZPHnyPe9P7ow/Fcx9//vf9+r4Iq5uVStAczOcP+/8d4dUKyAiIr7QnhcwmQOIeMC77z/hDyQ6C8Xtygu4m49K7nu3rKwsCgsLOxWqFF1tYXV+DWv+vYbPLjVxsaaVVpuj0/NabQ4u1rTy2aUm1vx7Davzayi62jEzdlRwgNEE0XaHq4e5m+36uCEh/jOjYW8wfvx4Y/uLq94tECm60jGeaxziXu1vggEmGBTp3SKIQZGBtNcgHT161Ktji9xMQkICr7zyCufOnWPXrl08++yzDBky5I6em5yczLPPPssf//hHzp07xyuvvKLkhoiIeExdXZ2xHRQd5sNIbhQYFWpsa9Z9/9U+41VYmPP1c7yilc1fWGlovfsT9xaXfEFoYEfDQZvd0d3DfcY1HuUJOktKSiIlJQWAslobdod//OzsDgdlVmdzzZAhQ0hMTPRxRL2XazPd4Gj/a4YQERERkbtTWVkJQFBICAFm705+FWA2E3T93OratWteHVt8Izo6mqysLCZMmEBWVtYdz+J/9uxZYzsh9UFju7nB6tb4Who78mahoaG3eKTcjaVLlxrbf/7g1zQ31N3i0bfX3FDHnz9Y3e3+xbP8omAOVDAnfkO1AiIi0psZeYG4cAKCvXu9xRwSSHB8BKC8gLvpytldSklJYc+ePWzevJnly5djsVgAKKlpo6SmY6WHqOAAzAHOJgNri53u6hpMJhMOh4PAAAg2B1DbbMPaYqfV5iDI7L1ZIVttDqwtzmKOAQMGeG3cviAnJ4fMzEyKi4u5YGnjsrWNwV6YNbDM2vF6GzVqFNnZ2R4fs79qfxOMCg7w6u8lQJDZRFRwADXNdqqrq706tsjtmM1mnnrqKZ566ikAysvLKSwspLi4mPr6eqqrq3nrrbc6PaeoqEhFWSIi4jUtLR0N6KYg7xY53E6ASzyadd+/TZw4kZ07dzJr1iwaGxs5c62VVZ9beGZEJCOTgnu8P5tLH0WIy/lFfat/FNS3c40nIiLCh5H4p/Hjx7Njxw6abQ5OV7YyIrHnrwV3O1XZSvP1Zptx48b5OJrezbWZLiLIv1Zt8bd4RERERHqT9jyBycuNEO1MAc6Z8ZQHkFtxfX1EJw42tq9+ecyt41w545yEzWQykZ6e7tZ9i3OVkCeffJKPP/4Yy5US9q5+hW+vWHPX+9u7+hUsV5wzsD/55JOMHDnSXaHKbfhDwVxLZZ0K5sTvqFZARER6o/a8QICPagcCAp3jKi/gXloZ4h6YTCYWLlzIxYsXWbt2LZmZmZ2+bndATbOdqkY7Nc03NkKMGjWKtWvXMnCgcxm9NjtGAb3dAVfqvLvc/ZW6NiNGFdX3jMlkIje3Y1nLAxcavTLupy7j5ObmYjLpYrintL8JBvror6Y5oHMcIv4qKSmJqVOn8tJLL/Gzn/2M//E//oevQxIRkX4uOLijONnRavNhJDeyu8SjWff93+TJk9m/fz9xcXEAWFscvH/Eym+OWbnW0LPXltnlvCI6pOPG5Vrv5gFup8wlnq45D4F58+YZ25+XNvkwkg4HL3XEMX/+fN8F0ge4nn8HBvhXvsXf4hERERHpTdrzBA6bb3IEDruzO155ALkV19eHrbXFWB3iypmjNFlr3DJGk7XGaK546KGH7njVCumZtWvXEh4eDsChHRv48we/vqv9/PmDX3NoxwYAwsPDWbt2rdtilNtTwZzInVGtgIiI9AbteQG7j2oH7G3OcZUXcC81Q7hBVFQUS5cu5ejRoxw+fJg1a9Ywf/58Ro8eTXJyMgkJCSQnJzN69Gjmz5/PmjVrOHz4MEeOHGHp0qVGx6u1xc7gqI6Tp0u13v1lcx1v7NixXh27L5gzZw6xsbEAFF1t4WSFZ4vWT1a0UHTVOUZsbCyzZ8/26Hj9XfubYJv9Ng/0kPaZY12L+URERETk9iIjI43t1lrvNC3fqTZrR9GyZt3vHSZOnMixY8eYMWOGcV/R1Rb+6TMLmwprOVHRgt1x+9Udgl1WgwgP7tgutfpvM0ROTo4PI/FP06ZNIzU1FYDTla09bopxt8oGG6evtQKQmprK1KlTfRpPb+d6/t3W3VKvPuRv8YiIiIj0JgkJCQC0Njdj93JDhN1mo/V6IeuAAQO8Orb0Lq6rNFz98hjp454AnI0Rhbu3u2WMwt3bsLU6rzVPnjzZLfuUG6WlpfHrX3c0QOz59Y/5/T++SHND3S2e1aG5oY7f/+OL7Pn1j437Vq9eTVpamttjlZtTwZyIiIhI32HkBaobsLd499qsrbmNlqp6QHkBd1MzhBuZTCZycnJ44YUX2Lx5M0eOHKG0tJSKigpKS0s5cuQImzdv5oUXXiAnJ8eYxT8rKwtwrgYRFthRBPHFVe92dRdd6Rhv/PjxXh27L4iKimLVqlXG7R0n62ho9UzlfEOrnR0nOxIkb775pmbr8LD2N0Fri51Wm3eLDlptDqwtztdS+yy0IiIiInJnXJeLrztf7sNIblR3riMezbrfeyQnJ7Nr1y7ef/99YmJiAHAAp661svkLKz/9pJq1/1HDH07XU3ClmVOVLZytauVUZQsFV5qd91/uaISparATc311iLJa2x01U3iD3eGgzOq80DpkyBAtXd4Ns9nMkiVLAOdrIO9cg0/j+fhcA+2vnqVLl2I2+2a2wr7CtZmuvtU/fi/b+Vs8IiIiIr1J+3VZHA6aamu9OnZjTQ1cP+fLzs726tjSu0RHR/PQQw8BztUgsqb9F+Nrf/7g13dcSH8zzQ11/PmD1cbtpUuX3tP+5Naef/55fv7znxu3D+3YwOrvZfH5b9++6UofTdYaPv/t26z+XpaxIgTA66+/zuLFiz0es3SmgjkRERGRvqM9L+Cw2am/UOnVsRsuVDgLxVFewN3UDOEHXFdhaLY5GBjpvFh9wdLGZS/NCllmbaOkxjnWqFGj9It2lxYuXGjMvFjb7GDzF1Za3Fw432Jz8F6Rldpm536nTZvGggUL3DqG3Mi1aelKnXcTHFfq2trfAxk9erRXxxYRERHp7Vxns68762fNEGe/NrY1637vYjKZmDdvHmfPnuWNN94wVgcA53n9eUsbf77YxG+L69hUZGV9QS2biqz8triOP19s4mp9R+N8qbWN1JhA47mnK1u9/v1051RlK83Xz2fHjRvn42j81+LFizutEnm83LOrRN5McXnn1SMXLVrkkzj6Etdmusu1/rtqi4iIiIj0jOt12Ybqaq+O3WixdBuHSHfaV2uwtbZQerKQB8c7b1uulLB39Sv3tO+9q1/BcqUEgCeffLLT+Y94xquvvsr69esJDw8HnD/HXSt/xC+eSGbNnAl89PMl7PrVcj76+RLWzJnAL55IZtfKHxk/p/DwcDZs2MBPfvITX34b/ZYK5kRERET6DtfzceuXV706ttWlPkB5AfdSM4QfcF2F4cjXLUxICTVuH7jQ6JUYPnUZJzc311i1QnrGZDKxceNGY8bMC5Y2NhbWum2FiIZWOxsKao3GlcTERDZs2KCflxe4vvlcqvXu8peu4z3yyCNeHVtERESkt0tKSiIlJQWA+nPlOGyeWb2tpxw2O/XnKwDNut+bJSQk8Morr3Du3Dl27drFs88+y5AhQ+7oue2z9pfV2sgeFGzc/3lp082e4lUHL3XEMX/+fN8F4ucSEhJYvXq1cfsjD64SeTMNrXY+clk98q233jJmLJS759qkVuqlyUrulJohRERERO6e63XZ6rIyr47tOp5rHCLdcV2t4c8f/JppP/ongkKdhfSHdmzgzx/8+q72++cPfm2sNBAeHs7atWvvPVi5I88//zzHjh3jySefNO6ztbZQdqKAw7/fzOf/6184/PvNlJ0owNbaMdnCk08+ybFjx7QihA+pYE5ERESk73A9H6/89LRXx6749FS3cci9UzOEH8jJySEzMxNwFs8PjjITFugsbi+62sLJCs/OKniyovPsgbNnz/boeH1dSkoKeXl5xMTEAM6f6ZsHLff8czxZ0cKbBy1GI0RMTOWZiZgAAPStSURBVAx5eXlGYZd4luubzxdXm706dtGVjvGU4BARERHpufbPcrbGFqoLL/g2mOuqCy5ga3SeI2jW/d7PbDbz1FNP8eGHH3Lx4kW+/vpr9u7dy69+9Stee+01/vt//++89tpr/OpXv2Lv3r2Ul5fzne98B8BYfSEu1JmiOV3ZyrUG7zZgd1XZYOP0NecKFampqcYKiNK9uXPnMmPGDACsLQ62H6ujze7eVSJvps3uYNvROupanOM99dRTPPfcc14Zu69zbaYrq7Vhd3jnZ3o7doeDMqtv/0aIiIiI9Gau12UbqqporKnxyriNNTU0VFUBMGrUKM3uLbeVmZlpFM1brpRw6MN1PLV8lfH1Pb/+Mb//xxdpbqi72S46aW6o4/f/+CJ7fv1j477Vq1eTlpbm3sDlltLS0sjLy+PYsWO8+OKLZGRk3DDxoclkIiMjgxdffJHi4mLy8vL0c/IxFcyJiIiI9B2ueYHak5ep+6rCK+PWnS/HevIKoLyAJ6gZwg+YTCZyc3ON259fauKph8KN2zs8OKtgQ6udHS6zB7755ptERUV5ZKz+JCsri08++cSY3bW22cF7X1j5zTErZT2cTbDM2sZvjll57wsrtc3OC++JiYkcOHDAWI5RPK9r09JlL80KWWZtMxpgRo0axejRo70yroiIiEhfMm/ePGP7yp6jPoykw5U9R4xtzbrf9yQlJTF16lReeuklfvazn/GP//iP/OxnP+Oll15i6tSpJCYmdnpd5pc1M/76KpEOIO9cg48id/r4XAPtZd9Lly41VrGQ7plMJtavX09cXBwAZ661su2o1eMNEc5GCCtfVjkbV+Li4li/fr1Wj3Sj9iKDZpuD05WtPo7G6VRlq9FEJSIiIiI91/W6bPnZs14Z13Wc3NxcfW6XO7J27VrCwztWg2husPLEf/2Z8fVDOzaw+ntZfP7bt2mydt/Y02St4fPfvs3q72UZK0IAvP7661ppwIcyMzP5l3/5F06dOoXFYqGwsJDPP/+cwsJCampqOHXqFP/yL//CyJEjfR2qoII5ERERkb6ka16g7KPDXhm37HcFxrbyAu6nZgg/MWfOHGJjYwHnahCRQSYyBgQBzkL6zV9YaXHzhc4Wm4P3ijoK7KdNm8aCBQvcOkZ/lpWVRWFhYacZNIuutrA6v4Y1/17DZ5eauFjTSmuXn2urzcHFmlY+u9TEmn+vYXV+jbFyB8DUqVMpLCxkzJgx3vpWhBvfBA9caPTKuJ+6jKM3wb6nvLycvXv3smrVKl577TVWrFjBa6+9xqpVq4wZg0VEROTeTZs2jdTUVACqC76i6arFp/E0XrEYK1Ro1v3+y/V1ebqylQfjAzutEnm83LOrRN5McXnn1SMXLVrkkzh6m+TkZHbt2kVYWBgAxyta2fyF1aOTW7xXZOV4hbNAPzw8nF27djF48GCPjNdfuTYtfV7a5MNIOhy85B9xiIiIiPRmrtdlLaWl1F696tHxaq9exVJaCjjPs2bPnu3R8aTvSEtL49e//rVxe8+vf4y14gpPvfw/CQp1NklYrpSwa+WP+MUTyayZM4GPfr6EXb9azkc/X8KaORP4xRPJ7Fr5IyxXSgAIDg5mw4YN/OQnP/HJ9yQ3io6OJisriwkTJpCVlaXJK/2QCuZERERE+hbXvEDFp6eo+o/zHh2v6j/OGyt+KS/gGYG+DkCcoqKiWLVqlVFk8NGpehZlRVNaW0t9q4MLljY2FtayYEwU4UH33sPSftG8fcb5xMRENmzYoJMnN0tJSWHPnj1s3ryZ5cuXY7FYACip6ZjtP8AEUcEBmAPAZgdri53uJo+MjY3lzTffZMGCBfo5+cicOXNYsWIFFouFoqstZA1sYURisMfGO1nRuQhp9uzZNDWp6KE3s9ls7Nmzh61bt5Kfn0/p9Ysft5KSksL48eOZN28e06ZN06y8IiIid8FsNrNkyRJWrFgBDijZfpCM5dN8Fs/F3xykfdp9zbrff7m+Lh3Any82MTMjnH89Xg/ARyfrGBoX65YcwJ1qaLXzkcvqkW+99RYJCQleG7+3mzhxIjt37mTWrFk0NjZy5lorqz638MyISEYmue/csbi8hY9O1lHX4vxDEh4ezs6dO5k4caLbxhCn9qalkpISTle2cq3BxoBw3/3Nrmywcfqaf6xQISIiItKbdb0ue+nIETLi4wkMdv81n7aWFi4d6Vgd8s0331Shs/TI888/z9dff81Pf/pTwLkaROygVL4590eUFH3Guf84AICttYWyEwWUnSi46b7S09PJy8sjLS3NG6GL9CmutQIVn54i8bEM4h/13O+SCuZEREREPKdrXuDsmj+RtWYuQVGhbh+r1drE2TV/Mm4rL+AZWhnCjyxcuNCYEbS22cHvTtUzf0wUoddnhrxgaePNgxZOVtzb7JAnK1p486DFKMaPiYkhLy+PlJSUe/sGpFsmk4mFCxdy8eJF1q5dayyf2M7ugJpmO1WNdmqab2yEGDVqFGvXruXixYssXLhQjRA+1P4m2G7HyTqPzvK5w6UISW+CvVtlZSVvvPEGw4YNY+bMmezYseOOGiEASktL2bFjB08//TTDhg3jjTfeoLKy0sMRi4iI9D2LFy/umN3hwCmuHTrnkziu5Z+j4kDHRSzNut+/ub4ui662EGo2MSLBuUqktcXB9mN1tHXXLe8BbXYH2452FNg/9dRTPPfcc14Zuy+ZPHky+/fvJy4uDnD+HN8/YuU3x6xca7Dd074rG2z85piVLUesxs8pLi6Ojz/+mCeeeOKeY5cbtTctgbOHLe9cg0/j+fhcA975iyAiIiLS97lel21rauKrQ4ewtbW5dQxbWxtfHTpE2/WJrqZNm8aCBQvcOob0D6+++mqna5SWKyX8nw2/5MIXn5OU9jBJQ0cQFhV70+cHBgby2muv8eWXX6oRQuQuda0VOLvmT7RaPTORoQrmRERERDzPNS/QUlXPydd3Ymty74RUtqZWTrz+e1qqnJPhKS/gOWqG8CMmk4mNGzeSmJgIOJsfdn/ZwPxHIokIchbA1zY7eO8L50X0MmvPEnJl1jZ+c8zKe19YqW12XjodMGAABw4cICsry73fjNwgKiqKpUuXcvToUQ4fPsyaNWuYP38+o0ePJjk5mYSEBJKTkxk9ejTz589nzZo1HD58mCNHjrB06VKd3PqJrk1Lm7+w0mJzbylCi83Be0Udv6d6E+y9HA4HW7ZsIT09nRUrVlBSUmJ8zRwWTHRmCoO/nc1DfzeVka99h8xfPsvI177DQ383lcHfziY6MwVzWMdMVCUlJaxYsYIHH3yQLVu24HCoDEZEROROJSQksHr1auP22bc9d7HqZlqtTZx9u+Milmbdl66vy9+dqmf6g+GEXZ8U4cy1VrYdtXq8IcLZCGHlyypngi8uLo7169erGf8uTZw4kWPHjjFjxgzjvqKrLfzTZxY2FdZyoqIF+x1+lrc7HJyoaGFTYS0rP7MYqwcCzJgxg+LiYq0I4WFdm5aOl9/bJCV3q7i8pdPPX0RERETuTdfrsg1VVZw/eJC2Fvd85mpraeH8wYM0VFUBkJiYyIYNG3SeJXdt7ty5N9xna22h/PwJyr86SaPV0u3znnzySU6fPs3PfvYzD0co0vepYE5ERESk7+iaF6g9eZnjP/2d22oIWq1NFP/0I6wnrwDKC3haoK8DkM5SUlLIy8tj0qRJ1NTUcMHSxm+K63jqwXC++LqF09ecJ1JFV50XQFNjAskaFMKQaDODIgMJMnf8orTaHFypa+NSrY2iK83GShDtvvGNb/Cv//qvWhHCy0wmEzk5OeTk5Pg6FLkL7W+C2dnZVFRUcMHSxsbCWhaMiSI86N77yxpa7bxXZDV+X/Um2HuVlZWxZMkSdu/e3XGnCeJyhjJo+mjish/AZL75ayZp0ggAHDY71YUXuLLnKNUFX4EDLBYL8+fP58MPP2TDhg0MHjzY09+OiIhInzB37lw+/PBDdu/eTWt1A6d/tYeHX51JQJDnT43trW2cXrmbVotzVnHNui/tXF+X1hYHu840MPeRSN4rstJqh+MVrWz+wsrsUZFuOefoqqHVzrajdUYjRHh4OLt27dJnzHuUnJzMrl272Lp1K8uWLaOmpgYHcOpaK6eutRJiNpEcZSY5OpDk6EAigkwEBphoszuob3VQVtvm/Ge10dylAT82Npa33nqL5557TueKXtDetDR//nwAPjpZx9C4WI/8Pt5MQ6udj1xWj5Tez+FwUFBQQH5+PocPH6aoqIjKykpaWloIDg4mISGBrKwsxo4dy/jx48nJydHvu4iIiAd0vS7bUFXF6U8+YciYMUTfd99d77f26lUuHTlirAgRExNDXl6ersmK26Wnp3Pu3LlOk2eZTCYeeughJk+ezNKlSxk5cqQPIxTpW7rWCrQXzI14dRZBUaH3vP9WaxMnXv+9Cub6AeUFRERE/EPXvEDtycsUvbiV9B9OJn7s0Lveb9V/nOfsmj8ZDa7KC3iemiH8UFZWFp988glTpkxxnkA1O/jXE/WMuS+IyWlh/OViE41tzoRGSU2bUTQdYIKo4ADMAWCzg7XFTneTR5pMJn7605/ys5/9TB+WRe5Cd01Lbx608OyISEYkBt9+BzdxsqKFHSfrjBUh9CbYe3322Wc8/fTTVFdXG/clPj6c1NkTCB0Y26N9mcwBxD+aRvyjaTRdtVCy/SAVB04BsHv3bjIzM9m1a5dmgxUREbkDJpOJ9evXM2rUKKqrq7EUlXBq5R6G//10jzZE2FvbOLVyD5YvLgKadV866/q6PHOtlaAAeG50FB8cdTZEnLnWyqrPLTwzIpKRSXd/ztFVcXkLH52so67FeQ4SFhbGzp079dnSTUwmE/PmzWPGjBm8++67rFu3zlgtrtnm4LyljfOWO1/1MzU1laVLl7Jo0SKtKuNlXZuWth+rY8GYKAIDPP933LlyS8fv6ZNPPsnHH3/s8XHFM6xWK9u2beOdd96huLj4po+7fPkyR48eZcuWLQBkZmaSm5vLnDlztHqsiIiIm3W9LtvW1MRX+fnEpqSQlJ5OWEzMHe+rsaaG8rNnsZSWGvclJiby8ccfM2bMGA9EL/3d559/TkhICOfOnaOpqYnQ0FDS09P1mVHEg1QwJ/dCeQERERH/0zUv0FJVz4l/+D2Jjw0n+bs5RKYl3fG+6s6XU/a7Aio+PWXcp7yAd3hvCjPpkaysLAoLC40l9gC++LqV/ecbSQgP4JH7ghkQ1vnHZ3dATbOdqkY7Nc3dN0I8/PDDnDhxgtdee02FNyL3oP1N0FgmqdnBe19Y+c0xK2XWOy9mASiztvGbY1be+8JqNEIkJiZy4MABsrKy3B67eNb+/fuZPHmy0QgRFBfOiJ/MJGP5tB43QnQVOjCWjOXTGPGTmQTFhQNQXV3N5MmT2b9//72GLiIi0i+0z9YeFhYGQFX+OU68/ge3LXfZVau1iRM/30lV/jlAs+5L97q+Lo9XtPKXS03MfSSKsEDnubu1xcH7R5znHNcabPc0XmWDjd8cs7LliNUosI6KimL//v088cQT9/bNyA0SEhJ45ZVXOHfuHLt27eLZZ59lyJAhd/TcIUOG8Oyzz/LHP/6Rc+fO8corr6gRwgfam5bi4uIAZ4PStqNW2rpLvrmRsxHCaqzcEhcXx6pVqzw6pniGw+Fg06ZN3H///eTm5t5Y8GAyERQaSnBEBEGhodAlb1tcXExubi73338/mzZt6jTzr4iIiNy77q7LWkpLOXPgAF/++c9Unj9PfVUVdlvnczG7zUZ9VRWV58/z5f/9v5w5cKBTI8TUqVMpLCxUwYN4VHR0NFlZWUyYMIGsrCwVyYp4QddagfaCudOr9lJ3vrxH+6o7X87pVXs58fOdRiOEagX6ntvlBUzmAIITIgkdFENwQiQmc+d6MOUFREREPKu7vEDFp6f4Ytl2jvz9b7m8+wusp69ga+5cF2prbsN6+gqXd3/BkZd/yxfLtndqhFBewHu0MoQfS0lJYc+ePWzevJm/+7u/o6amBoBLtTYu1TqTbSYgJNCE3eGgzU63DRAAkZGRrF69moULF6oJQsRN2t8EFy9ezL59+wAoutpC0dUWUmMCyRoUwpBoM4MiAwkyd/zetdocXKlr41KtjaIrzcbqLu2mTp3Kxo0bNctDL/SXv/yFWbNm0djYCEBsVioZL093y7KorgaMG0b0w8mc/tUeLEUlNDY2MmvWLPbv369ZfEVERO7AxIkT2blzp/G+bSkqofCFLaS/8AQDxg1z2zjX8s9x9u0/0WppAJyNEJp1X26m6+vyzLVWrljbeOqhcIrLWzhZ6SyGLrrawhdXW8gYEMSEIaEMTwgi4A7O8+0OB6cqWzl4qYnT11pxTR+MGzeO3/3ud2rS8TCz2cxTTz3FU089BUB5eTmFhYUUFxdTX19Pc3MzISEhREREkJmZSU5OjnFRXXyvvWlp8uTJNDY2cryilc1fWJk9KpLwIPfPN9PQamfb0TqjEaK9mW7gwIFuH0s8q7S0tFPuqF14fDxxycmEx8URGh1NgNlsfM1us9FUW0tDdTXVZWU0VFUBYLFYWLRoETt27FDuSERExM3ar8v+8z//M3/7t39r3N9QVWW8F2MyERQSgikgAIfdTmtzM3RTjBgbG8ubb77JggULdF1WRKSP6q5WoOLTU1R8eoqoEYNIfGw4Uen3Ef5AIuaQjtIsW3MbDRcqsJ79mooDp7CeutJpv6oV6HtulheIHjGYhMcyiHpwIBEPJBAQ3PE6sbe0UX+hEuuXV6n49BTWk87XifICIiIinnOzvID15BXjvZgAE8HxEQQEmrG32ZzNrN0UbSsv4H1qhvBzJpOJhQsXMmnSJNLS0m74ugNoart5x++oUaPIzc1l9uzZmgVCxANcm5aWL1+OxWIBoKSmzWhyCDBBVHAA5gCw2cHa0v3KLXoT7N3KysqYOXOm0QgxYEI6GS9PIyDIM2+1QVGhPPzqTE6t3ENV/jkaGxt5+umnKS4uVhGbiIjIHWhfWenpp5+murqa1uoGTv7iDyQ+PpzU2RPuaUWnxisWLv7mIBUHOmZ9iIuLY9euXWqEkFvq+rq0tjj48EQ9Y+4LYsaD4fz/vmqkqc2BAzh1rZVT11oJMZtIjjKTHB1IcnQgEUEmAgNMtNkd1Lc6KKttc/6z2mi2dT4RMZlMrFixgtdff13nID6QlJTE1KlTO80yI/6tu6alVZ9beGZEJCOTgt02TnF5Cx+drDNWbnFtpquoqHDbOOJ5RUVFxtLa7WJTUkhKTycsJuamzwswmwmPiyM8Lo6EtDQaa2ooP3vWmGl63759ZGdnk5eXp5lCRURE3MhkMvGDH/ygU9FDJw4HrU03X1lS12VFRPqXm9UKqGBO2nWXF0h8bDjJz4wlcujNJ0EJCA4k6qGBRD00kMEzxlB3vpyy3xUYM00rLyAiIuIZt80L2B20VNbd9PnKC/iOmiF6icjIyBvu++u//mtOnDjBtWvXjNkDBwwYQHZ2NmPHjmX8+PFkZ2frREnEw9qblr73ve+xfft23n777U7LGtodUNNsv+nz9SbY+zkcDpYsWUJ1dTXQviKE5xoh2gUEBTL876dz4vU/YCkqobq6mueff55du3bpb7+IiMgdmDhxIseOHWPJkiXs3r0bgIoDztm74rIfYND0R4jLeeCGJam747DZqS64wJU9R6guvIDrtPszZsxgw4YNaliUO9Ld6/KLr1s58nUrw+ICiQkN4Hx1G9VNznOMZpuD85Y2zlvabrXbG2RkZLBjxw4yMzPd/j2I9GXdNS29f8RK1sBgpgwLZ0C4+fY7uYnKBhsfn2ug6GqLcZ+a6XqvwsJCvvWtbxmr/QaGhjJkzBii77uvx/sKi4khNSeHuORkLh05QltTExUVFUyaNIlPPvlEhQ8iIiIe9sYbb3D69GkKCwt1XVZERDq5Xa2ACub6r655geD4CNJ/OJn4sUN7vK/ItCQyXppG4mMZnF3zJ1qq6pUXEBER8SLlBfyfmiF6sX/+538mMfHmncIi4l1RUVEsXbqUJUuWUFhYSH5+PocPH9abYD+wdetWo1AtKC6cjJene7wRol1AUCAZL0+nMHcLrZYGdu/ezQcffMDcuXO9Mr6IiEhvl5yczK5du9i6dSvLli1zXphwQHXBBaoLLmAOCyYiLZHI9PuIHJZEYFQoAUFm7K022qxN1J0rp+7s19Sfr8DW2NJp37Gxsbz11ls899xz+rwnPdLd69IBnK12NjwEB8B9EQHY7NDQ5qCh9eYrRnYVERHBmjVrmDdvnl6XInepu6aloqstfHG1hYwBQUwYEsrwhCAC7uB3zO5wcKqylYOXmjh9rdW1l07NdL1YaWkpU6dONQoewuPjGTpuHIHB97aCSPTAgWTEx/PVoUM0VFVRU1PDlClTKCwsJCUlxR2hi4iISDf+5m/+RtdkRUTkllQrIK665gWiRwxmxKuzCIoKvaf9xj+aRtaauZx8fSe1Jy8rLyAiIuIlygv4PzVDiIi4mclkIicnh5ycHF+HIl5QWVnJsmXLjNvpLzxxz0mMngqKCiX9hSc4+cs/ALBs2TKmT59OQkKCV+MQERHprUwmE/PmzWPGjBm89dZb/OIXvzC+ZmtsofZ4GbXHy+54f6mpqSxdupRFixbp/Vjumuvr8t133+Wdd97h0qVLALTY4ev6m68+1x29LkXc62ZNS6eutXLqWishZhPJUWaSowNJjg4kIshEYICJNruD+lYHZbVtzn9WG822zg1Naqbr3RwOB4sWLaKiogJwNkKkTZiAOdA9qfjA4GDSJkzg/MGDNFRVUVFRweLFi9mzZ49eLyIiIiIiIj6mWgHpmheIHjGYkT//LubQILfsPygqlJE//y7Hf/o7ak9eVl5AREREBAjwdQAiIiK92caNG40ZHRIfH86AccN8EseA8cNIfHw4ABaLhXfffdcncYiIiPRmCQkJ/Lf/9t/u6rlDhgzh2Wef5Y9//CPnzp3jlVdeUcG5uEVCQgKvvPIK//7v/97j5+p1KeJZ7U1LZ8+e5Y033iA1NdX4WrPNwXlLG3++2MRvi+vYVGRlfUEtm4qs/La4jj9fbOK8pa1TI0RqaipvvPEGX375JXPnztUF7F7qvffeIy8vD4DA0FCGjhvntkaIdubAQOdKE6HOyRj27dvH5s2b3TqGiIiIiIiIiPSca14gOD6CEa/OclsjRDtzaBAjXp1FcHwEoLyAiIiIiFaGEBHpQ8rLyykoKOD48ePU1dXR0tJCcHAwkZGRjBw5kpycHJKSknwdZp9hs9lYt26d84YJUmdP8Gk89/9gAhWfngIHrFu3jpdffhmz2ezTmERERPqC48ePc/HiRYqLi6mvrzeWNI+IiCAzM5OcnBwtiyke193nut/+9rdcunRJr0sRH2tvWnr55ZfZu3cvW7Zs4dChQ8ZqLrcyZMgQxo0bx/z585k6darO4Xo5q9XKSy+9ZNweMmYMgcHBHhkrMDiYIY88wleHDgGwfPlyvve97xEVFeWR8URERERERMT/qV7At7rmBdJ/OJmgqFCPjBUUFUr6i09w4uc7AeUFREREpH9TM4SISC+Xl5fHzp07yc/Pp7S09LaPT0lJYfz48cybN49p06ap0OIe7N27l4sXLwIQlzOU0IGxPo0nbFAscdkPUF1wgZKSEvbt28eMGTN8GpOIiEhfkJiYyMMPP8zUqVN9HYpIJ9/61rfU8CDiR8xmM0899RRPPfUU4CxAKCwsVDNdP7Jt2zYsFgsAsSkpRN93n0fHix44kNiUFCylpVgsFrZv387SpUs9OqaIiIiIiIj4F9UL+A/XvEDiY8OJHzvUo+PFP5pG4mPDqfj0lPICIiIi0q+pGUJEpJd77rnnevT40tJSduzYwY4dO0hNTWXJkiUsXryYhIQED0XYd23ZssXYHjR9tA8j6TBo+iNUF1wA4P3331czhIiIiIiIiI8kJSUxdepUNdP1Ew6Hg3feece4nZSe7pVxk9LTsVwvdnnnnXdYsmQJJpPJK2OLiIiIiIiI76lewD90zQskPzPWK+MmfzeHik9PAcoLiIiISP+lZggRkV7E4XDc9GvmsGAihiURmZ5EZFoSQdFhmILMOFpttNY2Une+nLqz5dSfK8fW2AJASUkJK1asYOXKlaxevZq5c+fqxLgH8vPzAeexj8t+wLfBXBeX8wDmsGBsjS0cOnTI1+GIiIiIiIiI9AsFBQUUFxcDEB4fT1hMjFfGDYuJITw+noaqKo4dO0ZhYSE5OTleGVtERERERES861b1AoSEQHIypKTA4MEQEQGBgdDWBvX1cPkylJZCWRk0NwOqF3An17xA9IjBRA71zmqgkWlJRI0YhPXkFeUFREREpN9SM4SISC9RVlbGggULOt9pgricoQyaPpq47AcwmQNu+vykSSMAcNjsVBde4Mqeo1QXfAUOsFgszJ8/nw8//JANGzYwePBgT34rfUJ5ebmxzGjEsKRbHntvMpkDiEhLpPZ4GZcuXaKiooLERO8kWkRERERERMQ3HA4HBQUF5Ofnc/jwYYqKiqisrKSlpYXg4GASEhLIyspi7NixjB8/npycHBU3uFn7hAkAccnJXh07LjmZhqoqIw4VPYiIiIiIiPQ93dcLmCAjA77xDef/Abe4Zt1+rmi3w+nT8Pnnzv8dDtULuIFrXiDhsQyvjp342HCsJ68YcSgvICIiIv2NmiFERHqBzz77jKeffprq6mrjvsTHh5M6ewKhA2N7tC+TOYD4R9OIfzSNpqsWSrYfpOKAc9nE3bt3k5mZya5du5g4caI7v4U+p6CgwNiOTE/yYSQ3iky/j9rjZYAzzqlTp/o4IhEREREREfGUzZs388EHHxizD3bn8uXLHD16lC1btgCQmZlJbm4uc+bMISoqyluh9mmHDx82tsPj4rw6dlhsbLdxiIiIiIiISN/QXb0AWVkwZQoMGNCznQUEwIgRzn/XrkFeHhQVAaoXuBeu5+NRDw706thR6fd1G4eIiIhIf+Ef01iLiMhN7d+/n8mTJxuJjaC4cEb8ZCYZy6f1uBGiq9CBsWQsn8aIn8wkKC4cgOrqaiZPnsz+/fvvNfQ+7fjx48Z2ZJqfNUMM64jnVsUwIiIiIiIi0vv9+Mc/vvHcz2QiKDSU4IgIgkJDnTNFuiguLiY3N5f777+fTZs24XA4vBhx31R0vXAEk4nQ6Givjh0WE2P8jAsLC706toiIiIiIiHhW13oBoqJg/nz4wQ963gjR1YABzv3Mn+/cL6oXuFvteQGTOYCIBxK8Onb4A4kQoLyAiIiI9F9aGUJExI/95S9/YdasWTQ2NgIQm5VKxsvTCYoKdes4A8YNI/rhZE7/ag+WohIaGxuZNWsW+/fv14wPN1FXV2dsB0WH+TCSGwW6vD7q6+t9GImIiIiIiIh4S3h8PHHJyYTHxREaHU2A2Wx8zW6z0VRbS0N1NdVlZTRUVQFgsVhYtGgRO3bsYOPGjaSkpPgq/F6vsrISgKCQkE7H3hsCzGaCQkJobWri2rVrXh1bREREREREPKdrvQAPPQSzZ0N4uHsHGjkShg6F7dvhzBnVC9wFIy8QF05AsHfL8cwhgQTHR9BSWae8gIiIiPRLWhlCRMRPlZWVMXPmTCOxMWBCOg+/OtPtjRDtgqJCefjVmcSPHwZAY2MjTz/9NJcvX/bIeL1dS0uLsW0K8m6Rw+0EuMTT3Nzsw0hERERERETEnY4dO3bDfbEpKTz0+OM8+M1vkpCWRnhc3A3F+AFmM+FxcSSkpfHgN7/JQ48/TqxL48O+ffvIzs7uWN1Aeqw9T2DyciNEO1OAM9WvPICIiIiIiEjf0LVegMxMWLDA/Y0Q7cLDnfsfORJQvUBPtecFAnxUOxAQ6BxXeQERERHpj9QMISLihxwOB0uWLDGWunSuCDGNgCDPziAQEBTI8L+fTmxWKuBcAvP555/H4XB4dNzeKDg42Nh2tNp8GMmN7C7xhISE+DASERERERERcZfCwkK+853vGLcDQ0MZOn48qTk5hMXE9GhfYTExpObkMHTcOAJDnZMuVFRUMGnSJDVE3KX2PIHD5pscgcNuB5QHEBERERER6Qu61gsYK0IEenjFgcBAmDPHOR6qF+iJ9ryA3Ue1A/Y257jKC4iIiEh/pGYIERE/tHXrVnbv3g04l1HMeHm6xxsh2gUEBZLx8nSCYp0zSuzevZsPPvjAK2P3JpGRkcZ2a22jDyO5UZu1ydiOiIjwYSQiIiIiIiLiDqWlpUydOpXa2loAwuPjyZg0iej77run/UYPHEjGpEmEx8cDUFNTw5QpUygtLb3nmPubhIQEAFqbm7F7uSHCbrPRen3mxwEDBnh1bBEREREREXE/13oBoqK80wjRLjDQOd716+GqF7gzRl6gugF7S5tXx7Y1t9FSVQ8oLyAiIiL9k5ohRET8TGVlJcuWLTNup7/wBEFRoV6NISgqlPQXnjBuL1u2jMrKSq/G4O9GXl8eFKDufLkPI7lR3bmOeDIzM30YiYiIiIiIiNwrh8PBokWLqKioAJyNEGkTJhDosmLhvQgMDiZtwgSjIaKiooLFixdr1sceysrKcm44HDRdb1rxlsaaGrj+88rOzvbq2CIiIiIiIuJeXesFeOYZCA/3bhDh4c5xr1O9wO215wUcNjv1F7x7rBouVIBdeQERERHpv9QMISLiZzZu3EhNTQ0AiY8PZ8C4YT6JY8D4YSQ+PhwAi8XCu+++65M4/FVOTo6xXXfWz5ohzn5tbLvGKSIiIiIiIr3Pe++9R15eHgCBoaEMHTcOs5tngzQHBjJ03DgCQ52TMezbt4/Nmze7dYy+buzYscZ2Q3W1V8dutFi6jUNERERERER6H9d6AbKywGWSPq/KzHSOj+oF7oTr+bj1y6teHdvqUh+gvICIiIj0R2qGEBHxIzabjXXr1jlvmCB19gSfxnP/DyaAybm9bt06bDabT+PxJ0lJSaSkpABQf64ch83u44icHDY79eeds4UOGTKExMREH0ckIiIiIiIid8tqtfLSSy8Zt4eMGeO2FSG6CgwOZsgjjxi3ly9fjtVq9chYfdH48eON7eqyMq+O7TqeaxwiIiIiIiLSu3SuFzDBlCm+DejJJ51xoHqB23E9H6/89LRXx6749FS3cYiIiIj0F2qGEBHxI3v37uXixYsAxOUMJXRgrE/jCRsUS1z2AwCUlJSwb98+n8bjb9oTCbbGFqoLL/g2mOuqCy5ga2wBYNy4cT6ORkRERERERO7Ftm3bsFyf9T82JYXo++7z6HjRAwcSe73x32KxsH37do+O15fk5OSQmZkJQENVFY3ts3h6WGNNDQ1VVQCMGjWK7Oxsr4wrIiIiIiIi7udaL0BGBgwY4NuAEhKccaB6gdtxzQvUnrxM3VcVXhm37nw51pNXAOUFREREpP9SM4SIiB/ZsmWLsT1o+mgfRtJh0PSOWSHff/993wXih+bNm2dsX9lz1IeRdLiy54ixPX/+fN8FIiIiIiIiIvfE4XDwzjvvGLeT0tO9Mq7rOO+88w4Oh8Mr4/Z2JpOJ3Nxc43b52bNeGdd1nNzcXEzXZ+wUERERERGR3se1XoBvfMN3gbiaMMHYVL3AzXXNC5R9dNgr45b9rsDYVl5ARERE+is1Q4iI+JH8/HwAzGHBxooMvhaX8wDmsGAADh065ONo/Mu0adNITU0FoLrgK5quWnwaT+MVi7FCRWpqKlOnTvVpPCIiIiIiInL3CgoKKC4uBiA8Pp6wmBivjBsWE0N4fDwAx44do7Cw0Cvj9gVz5swhNjYWAEtpKbVXr3p0vNqrV7GUlgIQGxvL7NmzPTqeiIiIiIiIeFZ7vQAhIcaKDD43fLgzHlQvcDuueYGKT09R9R/nPTpe1X+cp+LTU4DyAiIiItK/qRlCRMRPlJeXU3r9AnbEsCRMZv/4E20yBxCRlgjApUuXqKjwznKOvYHZbGbJkiXOGw4o2X7Qp/Fc/M1BuD5h59KlSzGbzT6NR0RERERERO6eUQABxCUne3Vs1/Fc45Bbi4qKYtWqVcbtS0eO0NbS4pGx2lpauHSkY3XIN998k6ioKI+MJSIiIiIiIp7nWi9AcjIE+Ee9AAEBznhQvcDtdM0LnF3zJ1qtTR4Zq9XaxNk1fzJuKy8gIiIi/ZmffHIWEZGCgo7lCyPTk3wYyY0i0+8ztl3jFFi8eHHH7A4HTnHt0DmfxHEt/xwVBzpmfVi0aJFP4hARERERERH3OHz4sLEdHhfn1bHDrp/ndo1Dbm/hwoXGSo1tTU18degQtrY2t45ha2vjq0OHaGtyFlRMmzaNBQsWuHUMERERERER8a5O1+FTUnwXSHdcJk1QvcCtueYFWqrqOfn6TmxNrW4dw9bUyonXf09LVT2gvICIiIiImiFERPzE8ePHje3IND9rhhjWEU9xcbEPI/E/CQkJrF692rh99m3Pze5wM63WJs6+3THrw1tvvUVCQoJXYxARERERERH3Kioqcm6YTIRGR3t17LCYGDCZACgsLPTq2L2dyWRi48aNJCY6V9lsqKri/MGDblshoq2lhfMHD9JQVQVAYmIiGzZswHT95yUiIiIiIiK9k2u9AIMH+y6Q7rg0Q6he4Na65gVqT17m+E9/57YaglZrE8U//QjrySuA8gIiIiIioGYIERG/UVdXZ2wHRYf5MJIbBUaFGtv19fU+jMQ/zZ07lxkzZgDQWt3A6V/twd7q3lkfb8be2sbplbtptTQA8NRTT/Hcc895ZWwRERERERHxnMrKSgCCQkIIMJu9OnaA2UxQSAgA165d8+rYfUFKSgp5eXnExMQAzoaI0598Qu3XX9/TfmuvXuX0J58YjRAxMTHk5eWR4m8zhoqIiIiIiEiPudYLEBHhu0C64xKP6gVur2teoPbkZYpe3ErV4a/uab9V/3Geohe3Go0QyguIiIiIOKkZQkTET7S4zBBoCvJukcPtBLjE09zc7MNI/JPJZGL9+vXExcUBYCkq4dRKzzdE2FvbOLVyD5YvLgIQFxfH+vXrNeuDiIiIiIhIH9CeJzB5uRGinSnAmTpWHuDuZGVl8cknnxgzQbY1NfFVfj4lBQU01tT0aF+NNTWUFBTw1aFDtDU5Z5JMTEzkwIEDZGVluT12ERERERER8T7XegECA30XSHdc4lGe4M50zQu0VNVz4h9+z+lVe6k7X96jfdWdL+f0qr2c+PlOWqqczSjKC4iIiIh08LNPzyIi/VdwcLCx7Wi1+TCSG9ld4gm5PjOkdJacnMyuXbuYPHkyjY2NVOWf48TrfyDj5ekEuays4S6t1iZOr9xtNEKEh4eza9cuBvvbkqkiIiIiIiJyV9rzBA6bb3IEDrsdUB7gXmRlZVFYWMjixYvZt28fAJbSUiylpYTHxxOXnExYbCxhMTGdVv+w22w01tTQaLFQXVpKQ3V1p/1OnTqVjRs3auZHERERERGRPsS1XoA2z06612Mu8ShPcOe6ywtUfHqKik9PETViEImPDScq/T7CH0jEHNJRwmdrbqPhQgXWs19TceAU1lNXOu1XeQERERGRztQMISLiJyIjI43t1tpGH0ZyozZrk7Ed4W9LcvqRiRMnsnPnTmbNmkVjYyOWohIKX9hC+gtPMGDcMLeNcy3/HGff/hOtlgbA2Qixc+dOJk6c6LYxRERERERExLcSEhK4fPkyrc3N2G22TsXynma32Wi9PtPjgAEDvDZuX5SSksKePXvYvHkzy5cvx2KxANBQVUVDVZXzQSYTQSEhmAICcNjtzmPvcNywr9jYWN58800WLFigVSFFRERERET6GNd6AerrfRdId1ziUb1Az9wsL2A9eQXryetNDgEmguMjCAg0Y2+zOVd/sCsvICIiInKnAnwdgIiIOI0cOdLY7umyiJ5Wd64jnszMTB9G4v8mT57M/v37iYuLA6C1uoGTv/gDp9/cS9NVyz3tu/GKhdNv7uXkL/9gNELExcXx8ccf88QTT9xr6CIiIiIiIuJHsrKynBsOB021tV4du7GmxijGz87O9urYfZHJZGLhwoVcvHiRtWvX3phbcThobWqipaGB1qamGxohRo0axdq1a7l48SILFy5UwYOIiIiIiEgf5FovwOXLvgukO2VlxqbqBXrutnkBu4OWyjqartbQUll3QyOE8gIiIiIit6aVIURE/EROTo6xXXfWz5ohzn5tbLvGKd2bOHEix44dY8mSJezevRuAigPO5S7jsh9g0PRHiMt5AJP59j2JDpud6oILXNlzhOrCC+CS95gxYwYbNmxg8ODBHvpORERERERExFfGjh3Lli1bAGiorib8etO9NzRen6WwPQ5xj6ioKJYuXcqSJUsoLCwkPz+fw4cPU1hYyLVr12hubiYkJIQBAwaQnZ3N2LFjGT9+PNnZ2Sp0EBERERER6eM6XYcvLfVdIN1xaYZQvcDdU15ARERExDPUDNGLVVZW+jqEXq+7Y6jj6h46tj1nMpkYPHgwly9fpv5cOQ6b/Y6K5T3NYbNTf74CgOTkZAAqKip8GZLbeeL1GhwczHvvvce//uu/8pOf/ITa2lpwQHXBBaoLLmAOCyYiLZHI9PuIHJZEYFQoAUFm7K022qxN1J0rp+7s19Sfr8DW2NJp3zExMfziF7/g+9//PiaTya9/Hvpb4Bk6rp6h4+o5OraeoePqGTqG0pvo9Xrv9LfUM3Rc3SMjI8PYri4rIyEtzWtjV7sUOWRkZPj1eac7+OI1e//993P//ffz/e9//7aP7c2/P/p74Bk6rp6h4+o5OraeoePqGTqG0pvo9Xrv9LfUM3Rc745rvQBlZWC3Q4Dv6wWw241mCNULuE9/yAvob4Hn6Nh6ho6rZ+i4eo6OrWfoGPZOJoejy5rb4pcqKipISkrydRgi4kUP/3QW8Y96r9DhZqr+/TwnXt/p6zBEREREfKa8vJzExERfhyH9nPICIvLQ448TFhPj8XEaa2o4c+CAx8cRERER6S2UFxB/oLyASD+0cCGMGOHrKODECdi82ddRiIiIiPiM8gL+zw9aiEVEpDtX9hz1dQgAXNlzxNchiIiIiIiIiPR75WfP9qlxREREREREROQWPv/c1xE4HTzo6whERERERG5JzRAiIn6quuArmq5afBpD4xUL1YUXfBqDiIiIiIiIiICltJTaq1c9Okbt1atYSks9OoaIiIiIiIiI3IHTp+HaNd/GUFnpjENERERExI+pGUJExF85oGS7b2dZuPibg+DwaQgiIiIiIiIict2lI0doa2nxyL7bWlq4dESrQ4qIiIiIiIj4BYcD8vJ8G8PHHzvjEBERERHxY4G+DkDu3okTJ0hISPB1GL1aZWUlDz/8cKf7dFzdQ8f27l27do3x48dTU1NDxYFTJPy/DzFg3DDvx5F/jooDpwCIiYkhPz+fAQMGeD0Ob9Dr1XN0bD1Dx9UzdFw9R8fWM3Rc71xFRQVHjx7l1KlT1NfX09raSlBQEBEREQwfPpzRo0eTmJgIdH9cRfyVfufvnf6WeoaOq3s5HA7+y3/5L/yf//N/aGtq4qtDh0ibMAFzoPtSu7a2Nr46dIi2piYA/tN/+k/85je/wWQyuW0Mf6bXrOfo2HqGjqtn6Lh6jo6tZ+i4eobyAtKb6Hf+3ulvqWfouN4b13oBiorgkUdg5EjvB1Jc7Bwf1QvI3dFx9RwdW8/QcfUMHVfP0bG9c6oX6PvUDNGLJSQkGL+A4j46rp6jY3tnEhMTeeutt5g/fz4AZ9/+E9EPJxMUFeq1GFqtTZx9+0/G7X/+539m+PDhXhvfH+j16jk6tp6h4+oZOq6eo2PbM+Xl5RQUFHD8+HHq6upoaWmhtbX1hsfpuDrZbDb27NnD1q1byc/Pp7S09LbPSUlJYfz48Xz729/2fIAibqLfec/QcfUMHdd7s2XLFrKzs6moqKChqorzBw8ydNw4AoOD73nfbS0tfHXoEA1VVYAzL/H++++TlJR0z/vuzfSa9RwdW8/QcfUMHVfP0bH1DB1Xkf5Fv/OeoePqGTqud65rvQAffQRDh0J4uPeCaGhwjnud6gXEXXRcPUfH1jN0XD1Dx9VzdGydVC/Q/6gZQkTED82dO5cPP/yQ3bt301rdwOlf7eHhV2cSEOT5P9v21jZOr9xNq6UBgKeeeornnnvO4+OKiIhIh7s5OQf4m7/5G55//nmmTZuG2Wz2cJT+p7Kyko0bN7J+/XpKSkp69NzS0lJ27NjBjh07PBSdiIjI3UtJSSEvL4/HH3+c2tpaGqqqOP3JJwwZM4bo++676/3WXr3KpSNHjBUhYmJiyMvLIyUlxV2hi4iIiIiIiEgPudYLYLXC9u2wYAG4cZXIm2prg23boK4OUL2AiIiI9B6qF+i/1AwhIuKHTCYT69evZ9SoUVRXV2MpKuHUyj0M//vpHm2IsLe2cWrlHixfXAQgLi6O9evXYzKZPDamiIiIdLiXk3OAXbt2sWvXLlJTU1myZAmLFy/uF8tgOhwOtm7dyrJly5xLh7swhwUTMSyJyPQkItOSCIoOwxRkxtFqo7W2kbrz5dSdLaf+XDm2xpab7l9ERMTXsrKy+Ld/+zf+03/6TwC0NTXxVX4+sSkpJKWnExYTc8f7aqypofzsWSwuDZeJiYl8/PHHjBkzxt2hi4iIiIiIiEgPdK0X4MwZZ4PCnDmebYhob4T48ktA9QIiIiLSO9yqXoCQEEhOhpQUGDwYIiKcn6fa2qC+Hi5fhtJSKCuD5uab7l/8m5ohRET8VHJyMrt27WLy5Mk0NjZSlX+OE6//gYyXpxMUFer28VqtTZxeudtohAgPD2fXrl0MHjzY7WOJiIhIZ+4u5i8pKWHFihWsXLmS1atXM3fu3D57saKsrIwlS5Y4Z8hqZ4K4nKEMmj6auOwHMJkDbvr8pEkjAHDY7FQXXuDKnqNUF3wFLvmMOXPm8P7773v0c1F5eTkFBQUcP36curo6WlpaCA4OJjIykpEjR5KTk0NSUpLHxhcRkd5h1KhRN9xnKS3FUlpKeHw8ccnJhMXGEhYTQ4DLKlF2m43GmhoaLRaqS0tpqK7utI+pU6eyceNGrQghIiIifYrD4aCgoID8/HwOHz5MUVERlZWVxjl3QkICWVlZjB07lvHjx5OTk+PrkEVERAxd6wU4fhw2b4bZsyE83P0DNjR0aoRQvYCIiIj0Bt3XC5ggIwO+8Q3n/wE3rxegPRdgt8Pp0/D5587/XRogVC/g/9QMISLixyZOnMjOnTuZNWsWjY2NWIpKKHxhC+kvPMGAccPcNs61/HOcfftPtFoaAGdiY+fOnUycONFtY4iIiEj3PFnMb7FYmD9/Ph9++CEbNmzocxctPvvsM55++mnnzFjXJT4+nNTZEwgdGNujfZnMAcQ/mkb8o2k0XbVQsv0gFQdOAbB//34yMzPZtWuX2z4f2Ww29uzZw9atW8nPz6fUZWbum0lJSWH8+PHMmzePadOmYXYpchUREWmoqqKhqsp5w2QiKCQEU0AADrud1ubmTon7drGxsbz55pssWLCgzzZOioiI9Ga3KuYP7GZWaM1U6GS1Wtm2bRvvvPMOxcXFN33c5cuXOXr0KFu2bAEgMzOT5557zlthioiI3FbXegHOnIFVq+CZZ2DkSPcNVFwMH30EdXWA6gVERET8hfICt9ZdvQBZWTBlCgwY0LOdBQTAiBHOf9euQV4eFBUBqhfoDdQMISLi5yZPnsz+/fuNN+7W6gZO/uIPd13o56rxioWLv+ko9APnUpfufOMWERGRm/NWMf/u3bvdfnLua/v37++4AAQExYW7rWE0dGAsGcunkfD/PuRsGK1uoLq6msmTJ7Nz504mT5581/uurKxk48aNrF+/npKSkh49t7S0lB07drBjxw5SU1NZsmQJixcvJiEh4a7jERGR3m/lypVs3bq1c6Gfw0FrU9NNnzNq1Chyc3OZPXs2UVFRXohSREREeuJOi/m7evzxx/nhD3/InDlz+uV7vMPh4L333uOll17CYrHc+ID2hlGzGYfNdkPDaHFxMT/+8Y+9F7CIiMgd6FovgNUK779/94V+rior4eOPjUI/UL2AiIiIP1Be4Pa61gsQFeW+htEBA+AHP4BHHnE2jFqtqhfwc2qGEBHpBSZOnMixY8dYsGAB+/fvB6DiwCkqPj1FXPYDDJr+CHE5t541up3DZqe64AJX9hyhuvACuDSEzpgxo0/OGi0iIuKPemsxvz/4y1/+0unYxWalkvHydIKiQt06zoBxw4h+OJnTv9qDpaiExsZGZs2axf79+3t8IcjhcLB161aWLVtGTU1Np6+Zw4KJGJZEZHoSkWlJBEWHYQoy42i10VrbSN35curOllN/rhxbYwsAJSUlrFixgpUrV7J69Wrmzp2rGb1FRPqp+fPn89JLL1FYWGjMDlVYWMi1a9dobm4mJCSEAQMGkJ2dzdixYxk/fjzZ2dl63xAREfFD91rMf/LkSXJzc1mxYgWrVq1i4cKF/eY9v7S0lMWLF7Nv375O94fHxxOXnEx4XByh0dEEuMyaaLfZaKqtpaG6muqyso5VtkRERPxMd/UCFBXBF19ARgZMmADDhztnNL4dux1OnYKDB+H06U6fJVQvICIi4lu3ywuYzAEExYUTEGTG3mqjtboBh81ufL2/5AW61gvw0EMwezaEh7t3oJEjYehQ2L4dzpzxWL0AISGQnAwpKTB4MEREQGAgtLVBfT1cvgylpVBWBs3NgOoFulIzhIhIL5GcnMy2bdu47777Ou50QHXBBaoLLjiL6NISiUy/j8hhSQRGhRoffNqsTdSdK6fu7NfUn68wiujaxcbG8tZbb/Hcc8/16zdFERERb+mNxfz+oqysjJkzZxrHbsCEdDJenkZAkGdOb4OiQnn41ZmcWrmHqvxzNDY28vTTT1NcXHzHF4TKyspYsmQJu3fv7rjTBHE5Qxk0fTRx2bduak2aNAK43tRaeIEre45SXfAVOMBisTB//nw+/PBDXaQSEenHTCYTOTk55OTk+DoUERERuUvuLOa3WCwsWrSIHTt2sHHjRlJSUrz6vXhbUVERU6ZMoaKiwrgvNiWFpPR0wmJibvq8ALOZ8Lg4wuPiSEhLo7GmhvKzZ7GUlnZ63LFjx/jWt77lkdgdDgcFBQVGU2tRURGVlZW0tLQQHBxMQkICWVlZRlNrTk6OruOIiPRT3dcLOJyNDadOdRTRtf/rWkRXVtbx73oRXTvVC4iIiPjezfIC0SMGk/BYBlEPDiTigQQCgjuui9tb2qi/UIn1y6tUfHoK68krQN/OC3StFyAz09kIEeihcvjwcFiwALZtg+PH3VgvYHI2tX7jG87/b9XU2n7tx253NrN+/rnR1Kp6ASc1Q4iI9CK3SjzYGluoPV5G7fGyO95famoqS5cuZdGiRVouSURExEt6YzG/v3A4HCxZssS5FDjtTSSeO3btAoICGf730znx+h+wFJVQXV3N888/z65du257Yeizzz7rWL78usTHh5M6ewKhA2N7FIfJHED8o2nEP5pG01ULJdsPUnHgFAC7d+8mMzNTy5eLiIiIiIj0Qp4q5t+3bx/Z2dnk5eWRlZXl8e/DFwoLC/nWt75lzKoYGBrKkDFjiHYtFL1DYTExpObkEJeczKUjR2hragLgO9/5DgcOHHDrMbRarWzbto133nmH4uLimz7u8uXLHD16lC1btgCQmZlJbm4uc+bMISoqym3xiIhI73DLfHRzM5w/7/x3h1QvICIi4h+6ywskPjac5GfGEjk08abPCwgOJOqhgUQ9NJDBM8ZQd76cst8VUPGp8xpyX8sLdK0XMFaE8FQjRLvAQJgzBzZvhjNn7rlegKwsmDIFBgzoWRwBATBihPPftWuQl+dcLQzVC9zB+mgiIuLPtm3bxrPPPsuQIUPu6PFDhgzh2Wef5Y9//CPnzp3jlVdeUWJDRETES3xdzB+blQpgnJw7XJa/7g22bt1qzJYQFBdOxsvTPX7s2gUEBTpX74h1Lq25e/duPvjgg1s+Z//+/UyePNn4eQfFhTPiJzPJWD6tx40QXYUOjCVj+TRG/GQmQXHOmKqrq5k8eXLHMukiIiIiIiLi9woLC5k0aZJR8BAYGsrQ8eNJzcm5ZSNEd9qL+YeOG0dgqHP1yYqKCiZNmkTR9YvjfUlpaSlTp041GiHC4+PJmDTprhohXEUPHEjGpEmEx8cDUFtby5QpUyjtsmLE3XA4HGzatIn777+f3NzcGxshTCaCQkMJjoggKDTUOVOki+LiYnJzc7n//vvZtGlTr8vtiIiI+6leQEREpHfrmhcIjo/g4Z99m4yXpt2yEaI7kWlJZLw0jYd/Oovg+Aigb+UFXOsFiIryTiNEu8BA53iRkcDd1QsQFQXz58MPftDzRoiuBgxw7mf+fOd+6d/1AloZQkSkl3vyySeZPXs2AOXl5RQWFlJcXEx9fT3Nzc2EhIQQERFBZmYmOTk5JCb27EOSiIiIuI8/FPMX5m6h1dJgnJzPnTvXK+Pfq8rKSpYtW2bcTn/hCYKiQr0aQ1BUKOkvPMHJX/4BgGXLljF9+vRuLxT95S9/YdasWcYKIM7Gl+luj3nAuGFEP5zM6V/twVJUQmNjI7NmzWL//v39csYHERERERGR3qS7Yv6h48YRGBx8T/uNHjiQjPh4vjp0iIaqKmpqapgyZQqFhYWkpKS4I3SfczgcLFq0yCgWCY+PJ23CBMxuKoIIDA4mbcIEzh88SENVFRUVFSxevJg9e/bcdtbHmyktLWXx4sXs27ev0/3h8fHEJScTHhdHaHQ0AWaz8TW7zUZTbS0N1dVUl5XRUFUFgMViYdGiRezYsYONGzf2mZ+riIj0nOoFREREeq+ueYHoEYMZ8eqse76mHP9oGllr5nLy9Z3UnrzcJ/ICXesFeOYZCA/3bhDh4c5xr6/e2JN6AWMVC3fHPHIkDB0K27fDmTP9tl5AzRAiIn1IUlISU6dOZerUqb4ORURERLrobcX8/mbjxo1GEijx8eEMGDfMJ3EMGD+MxMeHU3HgFBaLhXfffZdXXnml02PKysqYOXOmkdgYMCHdoyuABEWF8vCrMzm1cg9V+edobGzk6aefpri4mMGDB3tkTBEREREREbk3vbGY35+899575OXlAddX0xg3zm3Hrp05MJCh48Zx+pNPaGtqYt++fWzevJmFCxf2eF9FRUVMmTLF+HkDxKakkJSefssVQALMZsLj4giPiyMhLY3GmhrKz57Fcn2Vin379pGdnU1eXh5ZWVk9/yZFRKRPUb2AiIhI79E1LxA9YjAjf/5dzKFBbtl/UFQoI3/+XY7/9HfUnrzc6/MCrvUCZGU5mwB8ITPTOX5R0R3XC5CZ6dlVLMLDYcEC2LYNjh/vl/UCAb4OQEREREREpD/wt2J+wDg593c2m41169Y5b5ggdfYEn8Zz/w8mwPX80Lp167DZbMbXHA4HS5YsMZa6dK4I4blGiHYBQYEM//vpxGalAs4lMJ9//nkcDodHxxUREREREZG7481i/sBQ52QM7cX8vZ3VauWll14ybg8ZM+aeV9O4mcDgYIY88ohxe/ny5Vit1h7to7CwkEmTJhkFLoGhoQwdP57UnJxbNkJ0JywmhtScnE4/14qKCiZNmkRRUVGP9iUiIiIiIiK+45oXCI6PYMSrs9zWCNHOHBrEiFdnERwfAfTevEDnegETTJni24CefNIZB7evFzBWhPBUI0S7wECYM8c5Hv2vXkDNECIiIiIiIh7Wm4r5/dHevXu5ePEiAHE5QwkdGOvTeMIGxRKX/QAAJSUl7Nu3z/ja1q1b2b17NwBBceFkvDzd440Q7QKCAsl4eTpBsc6lNXfv3s0HH3zglbFFRERERETkzvW2Yn5/s23bNiwWC+BcXSH6vvs8Ol70wIHEpqQAzokltm/ffsfPLS0tZerUqcYEGeHx8WRMmnTPMUcPHEjGpEmEx8cDUFNTw5QpUyi9vmKEiIiIiIiI+K+ueYH0H04mKCrUI2MFRYWS/uITxu3emBdwrRcgIwMGDPBtQAkJzji4db0AUVHeaYRoFxjoHC8yEuhf9QJqhhAREREREfGw3lTM74+2bNlibA+aPtqHkXQYNL2jkOT9998HoLKykmXLlhn3p7/whMeSVjcTFBVK+gsdyaxly5ZRWVnp1RhERERERETk1npTMb+/cTgcvPPOO8btpPR0r4zrOs4777xzRzMrOhwOFi1aZKwIER4fT9qECW5rfAkMDiZtwgSjIaKiooLFixf3m1kfRUREREREeivXvEDiY8OJHzvUo+PFP5pG4mPDgd6ZF3CtF+Ab3/BdIK4mdEyAebN6AZ55BsLDvRtXeLhz3Ov6S72AmiFEREREREQ8rLcU8/ur/Px8AMxhwUYTh6/F5TyAOcxZvHDo0CEANm7caMz0mPj4cAaMG+aT2AaMH0bi4x3JrHfffdcncYiIiIiIiMiNelMxvz8qKCiguLgYcDYXhMXEeGXcsJgYo+ng2LFjFBYW3vY57733Hnl5eQAEhoYydNw4zG6eDdIcGMjQceMIDHVOxrBv3z42b97s1jFERERERETEfbrmBZKfGeuVcZO/m2Ns97a8QHu9ACEhxooMPjd8uDMeuq8XICsLRo70TWyZmc7x6T/1AmqGEBERERERuYXy8nL27t3LqlWreO2111ixYgWvvfYaq1atYu/evZSXl992H72lmN8flZeXU1paCkDEsCRMZv84jTWZA4hISwTg0qVLXL16lXXr1l3/IqTOnnCLZ3ve/T+YACbn9rp167DZbD6NR0RERERERJx6UzG/PzIKIIC45GSvju06nmsc3bFarbz00kvG7SFjxrhtRYiuAoODGfJIx6QXy5cvx2q1emQsERERERERuTeueYHoEYOJHJrolXEj05KIGjEI6F15Add6AZKTIcA/6gUICHDGQ3f1AiaYMsWHwQFPPumMg/5RL+DeqSdERERERER6OZvNxp49e9i6dSv5+fkdJ9a3kJKSwvjx45k3bx7Tpk3DbDYbX/P3Yv7a42VcunSJiooKEhO9k2jpiYKCAmM7Mj3Jh5HcKDL9PmqPlwGwfv16Ll68CEBczlBCB8b6MDIIGxRLXPYDVBdcoKSkhH379jFjxgyfxiQiIiIiIiK+L+ZvqKoy4sjJybnNM/zP4cOHje3wuDivjh0WG9ttHN3Ztm0bFosFgNiUFKLvu8+DkUH0wIHEpqRgKS3FYrGwfft2li5d6tExRUREREREpOdc8wIJj3l3lYPEx4ZjPXnFiKM35AVc6wVISfFdIN1JTobz54HO9QJkZMCAAT4MDEhIcMZx6lS/qBfwjyocERERERERH6usrOSNN95g2LBhzJw5kx07dtxRIwRAaWkpO3bs4Omnn2bYsGG88cYbVFZWAv5fzN+uUxLBjxw/ftzYjkzzs+M3rCOe3/3ud8b2oOmjfRHODQZN75gV8v333/ddICIiIiIiImLoLcX8/qqoqMi5YTIRGh3t1bHDYmKMWRVvNYOmw+HgnXfeMW4npad7PLau47zzzjs4HA6vjCsiIiIiIiJ3zvV8POrBgV4dO8qlPqC35AVc6wUYPNh3gXTHZZIL13oBvvENHwTTjQkTjM2+Xi+glSFERERERKRfczgcbN26lWXLllFTU9Ppa+awYCKGJRGZnkRkWhJB0WGYgsw4Wm201jZSd76curPl1J8rx9bYAkBJSQkrVqxg5cqVrF69mvLycmN//lzMX1xczNSpU30YTffq6uqM7aDoMB9GcqPAqFBj+8KFC4DzNROX/YBvAuoiLucBzGHB2BpbOHTokK/DEREREREREfykmN/huGUxvz9rn3wiKCSEAJeVOb0hwGwmKCSE1qYmrl27dtPHFRQUUFxcDEB4fLzzuHtBWEwM4fHxNFRVcezYMQoLC3vFLJ8iIiIiIiL9SXtewGQOIOKBBK+OHf5AIgSYwN578gKu9QJERPgukO64xNNeL0BIiHNFBn8wfLgznubmPl8voGYIERERERHpt8rKyliyZAm7d+/uuNMEcTlDGTR9NHHZD2Ay33xBvaRJIwBw2OxUF17gyp6jVBd8BQ6wWCzMnz+fBx980Hi8Pxfz19fX+zCSm2tpaTG2TUHeLXK4nQCXeGprawGIGJZ0y9eMN5nMAUSkJVJ7vIxLly5RUVFBYmKir8MSERERERHpFRwOBwUFBeTn53P48GGKioqorKykpaWF4OBgEhISyMrKYuzYsYwfP56cnBxM11cNuJXeUMzvz9rzBCYvH7t2pgDnOX9zc/NNH5Ofn29sx7nMEukNccnJNFRVGXGoGUJEREREROTueDwvEBdOQLB3S7jNIYEEx0fQUlnXa/ICrvUCBPpZybtLPO31AiQnQ4B/1AsQEOCM5/z5Pl8v4GevDBEREREREe/47LPPePrpp6murjbuS3x8OKmzJxA6MLZH+zKZA4h/NI34R9NoumqhZPtBKg6cAuDLL7/seJwfF/Pf6iK+LwUHBxvbjlabDyO5kb2beCLT/Wz1j/T7qD1eBjhnpvTH1T9ERERERET8idVqZdu2bbzzzjvG7P7duXz5MkePHmXLli0AZGZmkpuby5w5c4iKirrp83pDMb8/a88TOGy+yRE47HYAQkJCbvqYw4cPG9vhcXEej8lVWGxst3GIiIiIiIjInfFWXiDAR7UDAYHOcXtLXsC1XoC2Nt8F0p3u4klJ8X4ct3K9GQL6dr2An7SfiIiIiIiIeM/+/fuZPHmy0QgRFBfOiJ/MJGP5tB43QnQVOjCWjOXTGPGTmQTFhXf6mj8X89/qIr4vRUZGGtuttY0+jORGbdamG+6LTPOzZohhHfHcKlknIiIiIiLS3zkcDjZt2sT9999Pbm7ujedQJhNBoaEER0QQFBoKXWZ7LC4uJjc3l/vvv59NmzbhcDi6Hac3FPP7s4SEBABam5uxe/kY2m02Wq8XiwwYMOCmjysqKnJumEyERkd7IzRDWEyM8dosLCz06tgiIiIiIiK92e3yAiZzAMEJkYQOiiE4IRKTuXP5dU/zAt1NvOcN9jbnuL0lL+BaL0B9ve8C6U538Qwe7P04bsVlxcq+XC+glSFERERERKRf+ctf/sKsWbNobHQW1sdmpZLx8nSCokLdOs6AccOIfjiZIy/9L5ouWwD/LuaPiIjwYSQ3N3LkSGO77nw5SZNG+DCazurOld9wX1B0mA8iublAl9d1vb8lh/qR8vJyCgoKOH78OHV1dcbyuZGRkYwcOZKcnBySkvyrkUZEREREpD8pLS1l8eLF7Nu3r9P94fHxxCUnEx4XR2h0NAEuqznYbTaaamtpqK6muqyMhqoqACwWC4sWLWLHjh1s3LiRlC4zAiYkJHD58mWjmD/AiytE3Gkxvz/Lysri6NGj4HDQVFvr1ZUXGmtq4HoxS3Z29k0fV1lZCUBQSIhXf74AAWYzQSEhtDY1ce3aNa+OLSIiIiIi0lvdLC8QPWIwCY9lEPXgQCIeSCAguKPk2t7SRv2FSqxfXqXi01NYT14BepAXqG7A3tLWaZ+eZmtuo6XKec24t+QFXOsFuHwZcnJ8F0xXZWU33udvdRcu8fTlegE1Q4iIiIiISL9RVlbGzJkzjUaIARPSyXh5GgFBnjk1CooKZejCb3LyF7sA/y7mz8zM9GEkN5fjksyoO3tj84Ev1Z39+ob7TD5azvRmXJdX7S1LnfYFNpuNPXv2sHXrVvLz8yktLb3tc1JSUhg/fjzz5s1j2rRpmL1cMCMiIiIi0l8VFRUxZcoUKioqjPtiU1JISk93zrJ/EwFmM+FxcYTHxZGQlkZjTQ3lZ89iuf75f9++fWRnZ5OXl0dWVpbxvN5QzO/Pxo4dy5YtWwBoqK727vGzWDrFcTMtLS0AmHx0XmcKcM5OqjyAiIiIiIjI7XWXF0h8bDjJz4wlcmjiTZ8XEBxI1EMDiXpoIINnjKHufDllvyug4tNTwO3zAg6bnfoLlUQ9NNBz31wXDRcqwN678gKu9QLcwTVXr+quGSLQz8ryXeLpy3mCgNs/REREREREpPdzOBwsWbKE6upqoH1FCM81QrSLyuhYBtGfi/lz/GkGBRdJSUnGbBn158px2Ow+jsjJYbNTf96ZEIuOju6430fLmd6M6/KqvWWp096ssrKSN954g2HDhjFz5kx27NhxR40Q4JxxZseOHTz99NMMGzaMN954w5hNVEREREREPKOwsJBJkyYZBQ+BoaEMHT+e1JycWzZCdCcsJobUnByGjhtHYKhzlb6KigomTZpEUVGR8TjXIvqG6zkKb7nTYn5/Nn78eGO7uruiAw9yHc81jq6Cg4MBcNh8kyNw2J25E+UBREREREREbq1rXiA4PoKHf/ZtMl6adstGiO5EpiWR8dI0Hv7pLILjnbPx3y4vYP3yqhu+iztndakP6C15Add6AcrKwO4f9QLY7UYzhGu9AG1tPgroJlzi6ct5Aj9rQRERkf6kvLycgoICjh8/Tl1dHS0tLQQHBxMZGcnIkSPJyckhKSnJ12GKiEgfsXXrVnbv3g1AUFw4GS9P93gjBEBwbDjBCZG0VNYZxfwms+/70l2L+YcMGUJiYs+SOd40fvx4duzYga2xherCC8Q/mubrkKguuICt0TnTY2pqKseOHQOgtbbRl2HdoM3aZGxH+NuSnH2Iw+Fg69atLFu2jJqamk5fCzGbSI42kxIVyODoQCKCTAQGmGizO6hvdXC5to1SaxtltTaabc6ZWEpKSlixYgUrV65k9erVzJ071xffloiIiIhIn1ZaWsrUqVONz/Dh8fHORobrhex3K3rgQDLi4/nq0CEaqqqoqalhypQpFBYWGivCtasuKyMhzXvnuHdazO/PcnJyyMzMpLi4mIaqKhpranrcuHI3GmtqaKiqAmDUqFG3nEEzISGBy5cv09rcjN1mI8CLK0TYbTZar8/0OGDAAK+NKyIiIiIi0tt0zQtEjxjMiFdnERQVek/7jX80jaw1czn5+k5qT16+ZV6g8tPTDJ4x5p7G64n2VSugd+UF2usFaG6G06dhxAhfhwSnTjnjoXO9APX1PgyqGy7x9OV6ATVDeJDD4aCgoID8/HwOHz5MUVERlZWVRrFvQkICWVlZjB07lvHjx5OTk4PJZPJ12CLSB/hrk4HNZmPPnj1s3bqV/Pz8O5olt/1D4Lx585g2bRpmHy0rLSIivVtlZSXLli0zbqe/8MQ9JzF6IipjENcqv/TbYv5x48b5OJpbmzdvnjO5AVzZc9Qvjt+VPUeM7WeeecZIbtSdLydpkh8kX66rO9exGklmZqYPI+m7ysrKWLJkidFsBWACMhKC+EZKKBkJQQTc4lw/Z5BzBg67w8HpylY+L23idGUrDsBisTB//nw+/PBD3njjDQ9/JyIiIiIi/YfD4WDRokXGzI/h8fGkTZiAOdA9l04Dg4NJmzCB8wcP0lBVRUVFBYsXL2bPnj29opjfn5lMJnJzc8nNzQWg/OxZUr2w2mX52bPGdm5u7i2v6WZlZXH06FFwOGiqrSU8Ls7j8bVrrKkBh7PRvrf+jEVERERERDyta14gesRgRv78u5hDg9yy/6CoUEb+/Lsc/+nvqD15+aZ5gdqTl6n7qqLHq1Dcjbrz5VhPXgF6X17AtV6Azz/3j2aIgweNTdd6AS5fBi/kKe6Yy8QYfblewPfTkfZBVquVtWvXMnr0aB599FF++MMfsmXLFo4ePcrly5eprKzk8uXLHD16lC1btvDDH/6QRx99lNGjR7N27VqsVquvvwUR6WVsNhu7du3ie9/7HkOGDOG+++5j+vTpvPzyy/zDP/wDb7zxBv/wD//Ayy+/zPTp07nvvvsYMmQI3/ve9/jjH/+IzcNLNVdWVvLGG28wbNgwZs6cyY4dO+6oEQKcXbg7duzg6aefZtiwYbzxxhtUVlZ6NF4REel7Nm7caMzokPj4cAaMG+bV8e/71sPG9pU9R7069s24FvPPnz/fd4HcgWnTppGamgpAdcFXNF21+DSexisWqgsvAM5ZHp5//nnja3Vny2/yLN+oc1nqNMefki59xGeffcaoUaM6NUJkDQzmxxNj+ZusaEYkBt+yEcJVgMnEiMRg/iYrmh9PjCVrYMdstLt37+av/uqv3B6/iIiIiEh/9d5775GXlwdAYGgoQ8eNc1sjRDtzYKBzpYlQ52QM+/btY/PmzUYxfzvXIntP6kkxv7+bM2cOsbGxAFhKS6m9etWj49VevYrl+jWN2NhYZs+efcvHjx071thuqK72aGxdNVos3cYhIiIiIiIiHVzzAsHxEYx4dZbbGiHamUODGPHqLILjnbPx3ywvUPbRYbeOezNlvyswtntbXsC1XoDTp+HaNd8GVFnpjIMb6wW4w5pIr3FphujL9QJqhnAjh8PBpk2buP/++8nNzaW4uLjT1wNMEBMSwICwAGJCAgjo8rekuLiY3Nxc7r//fjZt2oTj+qwdIiK38tZbb/ltk4HD4WDLli2kp6ezYsUKSkpKjK+Zw4KJzkxh8LezeejvpjLyte+Q+ctnGfnad3jo76Yy+NvZRGemYA7rKAIrKSlhxYoVPPjgg2zZskV/J0VE5I7YbDbWrVvnvGGC1NkTvB5DXM4DhCRFA/5ZzD916lSfxnM7ZrOZJUuWOG84oGT7wVs/wcMu/uYgXP8YsnTpUgYNGkRKSgoA9efKcdjsPoyug8Nmp/68czaTIUOGkJjo+RlF+pP9+/czefJkqq8XtkQFm5j/SBQ/GBXFgPB7W81sQLiZH4yKYv4jUUQFO5MHFpeCFhERERERuXtWq5WXXnrJuD1kzBgCg4Nv8Yy7FxgczJBHHjFuL1++HKvV6vfF/P4uKiqKVatWGbcvHTlCW0uLR8Zqa2nh0pGOCSXefPNNoqKibvmc8ePHG9vVLkUH3uA6nmscIiIiIiIi4tQ1L5D+w8kERYV6ZKygqFDSX3zCuN1dXqDi01NU/cd5j4zfruo/zlPx6Smgd+YFOtcLOOB6I4vPfPyxsSpj13oBysrA7h/1AtjtRjNEX68XcO8UJ/1YaWkpixcvZt++fZ3ufyA2kDEDQxgSbWZQZCBB5o4OiFabgyt1bVyqtVF0pZmSmjbAWeCwaNEiduzYwcaNGzt+SUREuvHLX/6y021zWDARw5KITE8iMi2JoOgwTEFmHK02WmsbqTtfTt3ZcurPlWNrdF4caG8yWLlyJatXr2bu3Ln33P1ZVlbGkiVLOs2SiwnicoYyaPpo4rIfwGS+eU9e0iTnclYOm53qwgtc2XOU6oKvwOH8Ozl//nw+/PBDNmzYwODBg+8pVhER6dv27t3LxYsXAef7UOjAWK/HYDIHMHDqKEq2fmYU82csn+b1ONp1LeY3m++tcNsbFi9ezMqVK7FYLFQcOEXC//uQ11f4ALiWf46KAx2JokWLFgHOAoMdO3Zga2yhuvAC8Y+meT22rqoLLhif98aNG+fjaPqWv/zlL8yaNYvGxkYAHhoQxOxRkYQHuXfOiZFJwQyNi2X7sTrOXGt1675FRHzJ4XBQUFBAfn4+hw8fpqioiMrKSlpaWggODiYhIYGsrCzGjh3L+PHjycnJ6VWzVImIiH/btm2b0Wwcm5JC9H33eXS86IEDiU1JwVJaisViYfv27SxdupRVq1YZ55SXjhwhIz7eI00Zd1PM3xssXLiQHTt2sG/fPtqamvjq0CHSJkxw6woftrY2vjp0iLamJsA5E+WCBQtu+7ycnBwyMzMpLi6moaqKxpoawmJi3BbXzTTW1NBQVQXAqFGjyM7O9viYIiIiPaWcgIiI+JprXiDxseHEjx3q0fHiH00j8bHhVHx66qZ5gbNr/kTWmrkeacpotTZxds2fjNu9NS/gWi9AURE88giMHOn9QIqLnePTfb0Azc3OVSNGjPB+bF2dOuWMh75fL6BmCDcoKipiypQpVFRUGPdlDQzm8QfCGBx180McZDZxf0wQ98cEMXFIKGXWNj690EjRVWexyr59+8jOziYvL08NESJya37WZPDZZ5/x9NNPG7PkAiQ+PpzU2RN6XIBqMgcQ/2ga8Y+m0XTVQsn2g0YB4u7du8nMzGTXrl1MnDjxrmIVEZG+b8uWLcb2oOmjfRbHwCdHUfrRYWz1zX5ZzO/vEhISWL16NfPnzwfg7Nt/IvrhZI/N0tGdVmsTZ9/uSBS99dZbJCQkADBv3jxncgO4sueoXzRDXNnTUezSftzk3pWVlTFz5kyjESIzKZjZoyIJ7Lr8o5uEBwWwYEwU245aOV6hhggRuTV/LyiwWq1s27aNd95554ZVdV1dvnyZo0ePGp/jMjMzyc3NZc6cOb3yIo2IiPgPh8PBO++8Y9xOSk/3yrhJ6enGygzvvPMOS5Ys8eti/t7AZDKxceNGsrOzqaiooKGqivMHDzJ03Di3NJW0tbTw1aFDRnNBYmIiGzZsuKPPTiaTidzcXHJzcwEoP3uW1Jyce47pdsrPnjW2c3NzVTjqh2prazl79izNzc2EhISQnp5OdHS0r8MSkT7En/MCygmIiIg/6JoXSH5mrFfGTf5ujrEyQ3d5gZaqek6+vpORP/8u5tAgt41ra2rlxOu/p6WqHujdeYGu9QJ89BEMHQrh4d4LoqHBOe51N6sX4PPP/aMZ4uBBY7Ov1wu4d8rCfqiwsJBJkyYZjRDRISYWjoniB6OibtkI0Z3kqEB+MCqKhWOiiA5xnmxUVFQwadIkjh075vbYRaT3OXTo0A33JT4+nLEbFjDyZ98m/tG0WzZCuGpvMhj5s28zdsMCEh8fbnytvcngs88+63GM+/fvZ/LkyUYjRFBcOCN+MpOM5dPueSbu0IGxZCyfxoifzCQozvlBprq6msmTJ7N///572reIiPRd+fn5gHP1pLjsB3wWR1BMGGmLHzNun337T7Ram7waw62K+XuDuXPnMmPGDABaqxs4/as92FvbvDK2vbWN0yt302ppAOCpp57iueeeM74+bdo0UlNTAagu+IqmqxavxHUzjVcsVBdeACA1NZWpU6f6NJ6+wuFwsGTJEuOzbvuKEJ5qhGgXGGBizugoHhrQOfnpuL78qoiI1Wpl7dq1jB49mkcffZQf/vCHbNmyhaNHj3L58mUqKys7FRP88Ic/5NFHH2X06NGsXbsWq9Xq0fgcDgebNm3i/vvvJzc398aiB5OJoNBQgiMiCAoNhS6FGMXFxeTm5nL//fezadMm/f0TEZG7VlBQYLwPhcfHe2W2foCwmBjC4+MBOHbsGIWFhUYxf2JiIoBRzN/W0uKWMdtaWjh/8OBdFfP3FikpKeTl5RFz/efYUFXF6U8+ofbrr+9pv7VXr3L6k0+MYxcdHd3jyevmzJlDbGwsAJbSUmqvXr2nmG6n9upVo+EmNjaW2bNne3Q8uXPFxcW8+OKLZGRkEBMTQ05ODt/4xjfIyckhJiaGjIwMXnzxxVsWBouI3I4/5wVulxMwmQMITogkdFAMwQmRN9Q7KCcgIiLu5JoXiB4xmMihiV4ZNzItiagRg4Cb5wVqT17m+E9/57YaglZrE8U//QjryStA38gLuNYLYLXC9u3Q5p16AdraYNs2qKsDbl0vwOnTcO2ad+K6mcpKZxz0j3oBNUPcg9LSUqZOnUpNTQ0AD8QGsnxCLCMS7222kRGJwSyfEMsDsc5mipqaGv7zf/7P9xyviPRu+/fv5/vf/75x2x+bDP7yl78wa9YsY5bc2KxUst+e5/ZZrweMG0b22/OIzXJ+gGhsbGTWrFl31bwhIiJ9W3l5OaXXLwRHDEu646ZBT0n61sPEXV9m09+K+XsDk8nE+vXriYuLA8BSVMKplZ4/hvbWNk6t3IPli4sAxMXFsX79+k6JIrPZzJIlS5w3HFCy/WB3u/Kai785CNevCS1duhSz2ezTePqKrVu3snv3bgCigk1eaYRoFxjgHC8yuGO8//2//7dXxhYR/7Z9+3a/bjIoLS1l+vTpLFq0yFh6HJwFqMmjRvHgX/0Vo2bM4OEpUxjxxBM8PGUKo2bM4MG/+iuSR40yCkfBuaLlokWLmD59uvEZT0REpCfaJ0wAiEtO9urYruO1x+GtYv6YmJg+uxJ9VlYWn3zyiVE80tbUxFf5+ZQUFNB4/RrunWqsqaGkoKDTahoA//Zv/0ZWVlaP9hUVFcWqVauM25eOHHFbo0tXbS0tXDrSsTrkm2++qZmz/cC5c+eYMmUKo0aN4u233+bMmTPdPu7MmTO8/fbbjBo1iilTpnD+/HkvRyoivd2t8gK+bjS4WU4gesRg0pZO4pE3/wsT/vcL/D+bFzN2w0L+n82LmfC/X+CRN/8LaUsnGUWjoJyAiIi4h2teIOGxDK+OnfhYx0TFN8sL1J68TNGLW6k6/NU9jVX1H+cpenGr0QjRV/ICXesFOHPG2aDg6YaI9kaIL78E7qRewAF5eZ6N6XY+/tgZB/2jXkDNEHfJ4XCwaNEiY0WIB2IDWZwdTXiQew5peFAAi7OjjYaIyspKt+xXRHqn3tBkUFZWxsyZM40YB0xI5+FXZxIUFerWGNsFRYXy8KsziR8/zIj16aef5vLlyx4ZT0REeqeCggJjOzI9yYeROJlMJtJffILAyBDAv4r5e4vk5GR27dpFWFgYAFX55zjx+h88tspGq7WJEz/fSVX+OQDCw8PZtWsXgwcPvuGxixcvNmZ9rDhwimuHznkkptu5ln+OigPOZVZjY2NZtGiRT+LoayorK1m2bJlx+5kRkW7LAdyp8KAAnhkRadz+yU9+onyBiPCjH/3Ib5sMioqKyM7OZt++fcZ9sSkpPPT44zz4zW+SkJZGeFwcAV2S8AFmM+FxcSSkpfHgN7/JQ48/TqzLRZp9+/aRnZ1NUVGR22IVEZH+4fDhw8Z2ePuFcy8Ju36+2DUOTxfzJyYmcuDAgR4X8/cmWVlZFBYWdprl0FJaypkDB/jyz3+m8vx56quqsNtsnZ5nt9mor6qi8vx5vvy//5czBw4Yqyu4GjVq1F3FtXDhQiOmtqYmvjp0CJubCzRsbW2dft7Tpk1jwYIFbh1Dem7Dhg2MHj2ajz/+2LjPHBRMysixjP32Aib+4L8x9tsLSBk5FnNQx0SLH3/8MaNGjWLjxo2+CFtEeqmueQF/aTToLieQ+NhwxvzzHEav/M8MnjGGqIcGEhAc2Ol5AcGBRD00kMEzxvDIyr9mzFuzOxWPKicgIiL3wvV8POrBgV4dOyr9vm7j6JoXaKmq58Q//J7Tq/ZSd768R2PUnS/n9Kq9nPj5Tlqq6oG+lxfoWi/A8eOweTM0NHhmwIYGeO895zjceb0ARUXGc7yuuNg5Pv2nXiDw9g+R7rz33nvkXe/ciQ4xsWBMFMFm9xYSBZud+33zoIXaZi3zJtJfdddkkPHyNAKCPPMnvL3J4NTKPVTlnzOaDIqLi7t9Ewdng9iSJUuorq4GnM0anoyxXUBQIMP/fjonXv8DlqISqquref7559m1a1evLO4UERH3O+5ychmZ5vtmCICQAZE8/Oosjv2PHTja7EYxf8bL0z3SRNhqbeL0yt1GI8StTs57i4kTJ7Jz506jWdRSVELhC1tIf+EJtzaLXss/x9m3/2SsphEeHs7OnTuZOHFit49PSEhg9erVzJ8/H4Czb/+J6IeTPdYc2p1WaxNn3/6Tcfutt94iISHBa+P3ZRs3bjRWhswaGMzIpHtbFfJuZSYFkzUwmKKrLdTU1PDuu+/yyiuv+CQWEfEvsSkpJKWnE3Z9BqnutDcZtDcaNNbUUH72rFH0115QkJeXd88XRgoLC/nWt75l/O0MDA1lyJgxRN93322eeaOwmBhSc3KIS052zqrc1ERFRQWTJk3ik08+6TMXcURExPOMojmTidDoaK+OHRYT41ylyeGgsLCw09fai/kXL15sFAxaSkuxlJYSHh9PXHIyYbGxhMXEdGoitNtsNNbU0GixUF1aSsP1HH27qVOnsnHjxl4/8+OdSElJYc+ePWzevJnly5cbRaENVVXGChmYTASFhGAKCMBht9Pa3GzMkugJJpOJjRs3kp2dTUVFBQ1VVZw/eJCh48YRGHzv55RtLS18deiQ8f0lJiayYcMGXR/xsddff52f/vSnxu3YQal887kfkT1jNqFRN35Wb7LWULh7O3/+4NdYrpTQ0NDA888/z9dff81PfvITb4YuIr1c4mPDSX5mLJFDE2/6mPZGg/Zmg7rz5ZT9roCKT52T67grL9A1JxAcH0H6DycTf33l7J6ITEsi46VpJD6Wwdk1f6Klql45ARERuWvteQGTOYCIB7x7DTX8gUQIMIH9zvICFZ+eouLTU0SNGETiY8OJSr+P8AcSMYd01OPZmttouFCB9ezXVBw4hfXUlU777at5ga71Apw5A6tWwTPPwMiR7huouBg++gjq6oCe1wvw0UcwdCiEh7svpttpaHCOe11/qRfQyhB3wWq18tJLLxm3n/XgbJDhQQE86zLro4j0L75uMmhfIaK9yeBmy2Ju3bqV3bt3AxAUF07Gy9M9HqNrrBkvTyco1vmhYffu3XzwwQdeGVtERPxf3fWTUoCg6DAfRtJZ9MPJDPnr8cbt9mJ+d68kcC3/HIW5Wzo1Qtzq5Lw3mTx5Mvv37zeWwGytbuDkL/7A6Tf30nTVck/7brxi4fSbezn5yz8YjRBxcXF8/PHHPPHEE7d87ty5c5kxY4YR0+lfeX7lj3b21jZOr9xtxPzUU0/x3HPPeWXsvs5ms7Fu3ToATMCUYV5MWHXjyWHhtJe2rFu3DluX2U1FpH8JDA1l6PjxpObk3LIRojvtTQZDx40jMNTZvNdeUHAvMyyWlpYydepUo+ghPD6ejEmT7qoRwlX0wIFkTJpkrGpRU1PDlClT3LqahYiI9G3tK6sFhYTcsDKRpwWYzQSFOFeKvHbt2g1fby/m37RpU8csgjiL+cuOHePsn//Msd27OZGXx8n9+zmRl8ex3bs5++c/U3bsWKdGiNjYWDZt2sSePXv6XMHDrZhMJhYuXMjFixdZu3YtmZmZnR/gcNDa1ERLQwOtTU03NEKMGjWKlStXujWmlJQU8vLyiLn+Oa2hqorTn3xC7ddf39N+a69e5fQnnxiNEDExMeTl5fWrn7c/2rBhQ6dGiHHPPs/ffljEN/46t9tGCIDQqBi+8de5/O2HRYx79nnj/ldffZUNGzZ4PGYR6f2C4yN4+GffJuOlabdshOhOe6PBwz+dRXB8BHDveYGuOYHoEYPJWjP3rhohXMU/mkbWmrlEj3BO9KScgIiI3A0jLxAXfsPqRJ5mDgk03m97khewnrzC+XWfcOSl33Lw+2v49wUbObz4Pf59wUYOfn8NR176LefXfdKpEaI/5AW61gtgtcL778NvfgPdHN8eqax07mfLFqMR4m7qBbBaYft2cPMqkTfV1gbbthkx96d6ATVD3IVt27YZs4lkDQxmRKJnZ4Mckeic9VGkPykvL2fv3r2sWrWK1157jRUrVvDaa6+xatUq9u7dS3l5z5aA6q16Q5NBZWUly5YtM26nv/CEV2c/BudqFukvdHzQWLZsmfHhVURE+reWlhZj2xTk3SKH24kePqjTbX8p5u9NJk6cyLFjxzqSCUDFgVMcfn4zx1/7N6r+/TwOm/2O9uWw2an69/Mcf+3fKFiymYoDp4yvTZ48meLi4jtqIjGZTKxfv95IuliKSji10vMNEfbWNk6t3GM0vsTFxbF+/XrNBukme/fu5eJF57HNSAhiQLhv/54khJvJGBAEQElJSael5kWkb7t8+XKn2/7YZOBwOFi0aBEVFRVGjGkTJrhl9mOAwOBg0iZMMGKtqKhg8eLFN53AQURExFV7nsDk5UaIdqYA56XZ5ubm7r9+j8X8I0aMYO3atVy8eJGFCxf223PCqKgoli5dytGjRzl8+DBr1qxh/vz5jB49muTkZBISEkhOTmb06NHMnz+fNWvWcPjwYY4cOdIxe6MbZWVl8cknn5CY6CxQbWtq4qv8fEoKCmi8Xih6pxpraigpKOCrQ4doa2oCnCtCHDhwQDNj+9i5c+f40Y9+ZNye/ncr+faKNYSE39nEhyHhkXx7xRqm/+ifjPt+9KMfcf78ebfHKiK9V9e8gL81GnTNCUSPGMzIn3/XbfUDQVGhjPz5d404lRMQEZGeas8LBPiodiAg0DnuXecF7A5aKutoulpDS2Ud2Pt3XqC7egGKiuCf/gk2bYITJ8B+Z/UC2O3Ox2/aBCtXOvdz3b3UC3DmjLNBwdMNEe2NEF9+CfS/egHvtjb1AQ6Hg3feece4/fgD3pld9rEHwii62nL7B4r0UjabjT179rB161by8/Pv6KQ6JSWF8ePHM2/ePKZNm4bZRxcvPMWfmgxO/vIPgLPJYPr06Z2WTtq4caMxq0Pi48MZMG6YV2NsN2D8MBIfH07FgVNYLBbeffddXnnlFZ/EIiIi/iPYpejO0epfM6fbXeJ58MEH+fL6SWnFAedyl3HZDzBo+iPE5TyAyXz7PnaHzU51wQWu7DlCdeEFcMl7zJgxgw0bNjB48GB3fxs+l5yczK5du9i6dSvLli1zfi5xQHXBBaoLLmAOCyYiLZHI9PuIHJZEYFQoAUFm7K022qxN1J0rp+7s19Sfr8DW2P0517Zt20hKSupxTJMnT6axsZGq/HOceP0PzkZTD3yea7U2cXrl7k4rgOzatatP/rx9ZcuWLcb2N1K8+5n8ZiYMCeXUtVYA3n///c5JPhHpkxwOR6fiqvYmA3Oge1K87U0G5w8epKGqyigo2LNnT4+S5e+99x55eXnOfYaGMnTcOLfF2M4cGMjQceM4/ckntDU1sW/fPjZv3szChQvdOo6IiPQ97XkCh49WV3NcvwAfcn2FiJtpL+ZfsmQJhYWF5Ofnc/jwYQoLC7l27RrNzc0EBQVx5cqVTs87cOBAj85f+zqTyUROTg45OTm+DoWsrCwKCwtZvHix0dBuKS3FUlpKeHw8ccnJhMXGEhYT02nVErvNRmNNDY0WC9WlpZ1WAAGYOnUqGzdu7LMzffYmubm5NDQ4JyUZ9+zzfHPO397Vfr753I+4dukch3ZsoKGhgf/6X/+r8flaRPq3rnmB9kYDc2iQW/bf3mhw/Ke/o/bk5bvKC7jmBILjIxjx6iy3xdfOHBrEiFdnUfTiVlqq6pUTEBGRHmnPC9h9VDtgb3OOq7yA+3RfL+CAU6ec/0JCIDm5419EBAQGOpsH6uuhrKzj302aVO61XoDjx2HzZpg9G8LD3fWtd2ho6NQI0R/rBdQM0UMFBQUUFxcD8EBsIIOjvHMIk6MCSY0JpKTGS8uliHhJZWUlGzduZP369ZSUlPTouaWlpezYsYMdO3aQmprKkiVLWLx4cadC/d6sNzQZ2Gw21q1b53ygCVJnT/BJjO3u/8EEKj49BQ5Yt24dL7/8cp9rkhERkZ6JjOyYea21ttGHkdyozdpkbC9evJikpCS3F/PHxsby1ltv8dxzz/Xpjn+TycS8efOYMWMG7777LuvWrTM+W9oaW6g9Xkbt8bJ72n9PTZw4kZ07dzJr1iwaGxuxFJVQ+MIW0l94wq2f667ln+Ps238yVgAJDw9n586ddzQrhdy5/Px8AELMJjIS3Hvx7m4NTwgixGyi2ebg0KFDvg5HRLzgvffe45NPPgH8t8nAarXy0ksvGbeHjBnjthUhugoMDmbII4/w1fW/gcuXL+d73/seUVFRHhlPRET6hoSEBC5fvkxrczN2m61T0bmn2W02Wq9fVB8wYMAdPedWxfwVFRU3XIjvy+f+fUFKSgp79uxh8+bNLF++HIvFAkBDVRUNVVXOB5lMBIWEYAoIwGG3O18z3cx2HRsby5tvvsmCBQv0c/cDx44d4+OPPwYgdlAq0/72/7un/U372/+P05/lYblSwscff0xxcTH33eNqcCLS+7nmBfyx0aBrTiD9h5M9NtljUFQo6S8+wYmf7wSUExARkTtn5AWqG7C3tBEQfOsce6ylgQmHvyK1tIqSlHgOjh2KJfbuitltzW20VNUDygu4263qBWhuhvPnnf/uYf891bVegDNnYNUqeOYZGDnyrmO5QXExfPQR1NUB/bde4PbTi0on7QUQAGMG3ro7y92yBnl3PBFPcjgcbNmyhfT0dFasWNGpEcIcFkx0ZgqDv53NQ383lZGvfYfMXz7LyNe+w0N/N5XB384mOjMFc1jHxfSSkhJWrFjBgw8+yJYtW3r9Moj+2GTA9ff0devWYbs+a9bevXu5eNE5A3FczlBCB8b6KEKnsEGxxGU/ADhfE+2zK4mISP810uUksu58+V3tw9bcRnOlFVuzexuT6851xDNq1CjmzZvH2bNneeONN0hNTe0Y/3ox/+WdhZz5n/s48Q+/p/gnH3HiH37Pmf+5j8s7C6k9XtapESI1NZU33niDL7/8krlz5/abpEdCQgKvvPIK586dY9euXTz77LMMGTLkjp47ZMgQnn32WbZv3+62eCZPnsz+/fuNJTBbqxs4+Ys/cPrNvTRdtdzTvhuvWDj95l5O/vIPRiNEXFwcH3/8MU888cS9hi4uysvLjZXrkqPNBPjJ71OAyURylLNw69KlS8bS8yLSN/miyaDd8uXLsVqtd/Tcbdu2GUV9sSkpRHu4YCt64EBir8+CbLFY3Po+LiIifVNWVpZzw+GgqbbWq2M3ts9MCGRnZ3t1bPEfJpOJhQsXcvHiRdauXUtmZmbnBzgctDY10dLQQGtT0w2NEKNGjWLt2rVcvHiRhQsX9pucj79bv369sf3N535ESHjkLR59eyHhkXzzub/tdv8i0j/5otGg3Z3mBVxzAomPDSd+7FCPxNcu/tE0Eh8bDignICIid649L+Cw2am/UHnLx44tKmHri1tZ8dbHzP7oMCve+pitL24l54ueTfjcruFCBdiVF/Akf68XwGqF99+H3/wGrl27t51XVjr3s2WL0QjRn+sFtDJEDx0+fNjYHhLt3dnGvT2eiKeUlZWxZMkSdu/e3XGnyVlMP2j6aOKyH8BkvnmvVtKkEYDzQ0l14QWu7DlKdcFX4HCe5M6fP58PP/yQDRs29Nqlfvy1yaC64ILRZDBjxgy2bNliPGbQ9NE+jLDDoOmPUF1wAYD3///t/Xl81PW5//8/J5M9ZE8ASTAskUUCkgQP22nVViQs6vm29vTXooIUCwetnnPUox+rtlVPew5q1RYXREUseGwFKyKbWAGVJUoSA2EPSyABzDrZ15n5/TFkyL7OlvC43269+Z73vN+v15VAmZlrruv1eucdzZkzx70BAQDcqukKCRXZ3W+GKN5/Wif+9KnqS6rkEx6oax64xWEJ/Irs71rF2fjh/JFHHtGWLVu0evVqpaam6ty5c10a89Zbb9XixYuVkpJyRe+OZDQaNXfuXM2dO1eSrZg9PT1dWVlZqqysVG1trfz8/BQUFKSEhAQlJycrOjpakhxeUD59+nQdPHiw2fvfgp1HVbDrqMKThumq2dcpPLnj97+NrGaLStLO6MLmTJWkn5Ga1EPMmTOnT7//9WRpaWn241gX7Q7ZVTEh3jplsjVqpaWlKSUlxc0RAb1ntVqVlpZm3/I5IyNDhYWFqqurk6+vr6KiopSYmKhJkyZpypQpSk5OviIKwNzVZGDKzbUXFCxZsqTDe6xWq1599VX744Hx8U6Nsek8pktNa6+++qoWL158RfydAAD0zKRJk+x57aqSEgU2fhntAtWXXssb48CVLTg4WEuWLNHixYuVnp5uf/+bnp6uoqIie+4iMjJSSUlJ9ve/SUlJvNfxQNu3b5ckGX18lTRnnkPGTJpzpza/+KjM9XXavn27nnrqKYeMC3g68gJtc1ejQcGuo13KC7TMCcT82DXvdWJ+lKyCXUclkRMAAHRN07xA+YmLCh41uM3rQkur9fT/blJwZW2z8+GXzv9sxT0qCwno1tzlTeoDyAs4l6fXCygjQ/r2W2n0aGnqVGnMGMmrC3sbWCzS0aPS3r3SsWPNFlC40usFPOtb/D4gIyNDkuRlkK4a4Npf31UDvOVlsDeHAX3S7t27deutt6qkpMR+LvrGMYqbN7XbBf8Go5cirh+hiOtHqOaiSTlr96pgp+2D7qZNm5SQkKCNGzf2yS1/+kqTQeNuOcYAX/uODO4WnjxMxgBfmavrlJqa6u5wAABuNnDgQMXGxio3N1eVJ/NlNVu6VHQuSfXlNTr+x61qKK+xPS6p0vE/blXyint6veKS1WxR5Snbh+ihQ4faP1g36sqH84aGBj333HPN7nvrrbdajQXb34OUlBS3FYrHxMRo48aNevfdd/Xggw+qtLRUskolaWdUknZGxgBfBY2I1oD4QRowcqC8g/3l5WOUpd6shvIaVZzMV0X2d6o8VdBsBxBJCgsL08svv6y77rqLL3mc5NChQ/bjISGelUaJaRJPVlYWzRDo08rLy7VmzRq9+uqrysrKave68+fP68CBA/bPzQkJCVq6dKnuvPNOBQcHuypcl+orTQZpaWn2P7vAiAgFhIa6JM6A0FAFRkSoqrhYBw8eVHp6eptbhgMAIElTpkyxH5fk5SlqxAiXzV2Sl9dmHLiyGQwGJScn8/6lDysrK9Px48clSVeNmiD/YMe8D/YPDtXga8Yr73Cajh8/ropLK30C/RV5gfb1hUaDpjmBkLFDNGC4a76nGDBioILHXqXyIxfICQAAuqTp5/HCXcc0ZM7ENq/71w3prRohGoVU1OqnH6Vr5d3dq0lsfF1tGQeczzPrBay2xoajRyU/Pykm5vL/goIkb2+poUGqrJTy8i7/r7b530vqBWy6VgUEu8JC29Y4wb5e8jG69i+Oj9GgYF/+yNB37dy5UzNmzLA3QviEB2rsE7dp9EOzer3zgf/gMI1+aJbGPnGbfMIDJUklJSX2rYb6Gk9uMpCk1NRU5efnK/dSUUTQyIFdLix1NoPRS0EjbMmVc+fOObxbEwDQ9zQmEszVdbbV9LuoaPdxeyNEo4byGhXtOdHrmErSztiL2idPntzp9Y0fzh9++GH95je/0e9//3s98sgjvY4DrmMwGDR//nxlZ2frD3/4g+Li4uzPmavrVHYoT+c3pOv4H7fq8O8+UtYT63X4dx/p+B+36vyGdJUdymvWCBEXF6c//OEPOnHihO6+++4rOrHhbE2LDYJ8POv33DSeyspKN0YC9JzVatVbb72lq6++WkuXLm1d8GAwyMffX75BQfLx95da/HuXlZWlpUuX6uqrr9Zbb70lq7X/rSLi7iYDSfaCgo405jIkKTwmxqmxtdR0vqZxAADQUnJyshISEiRJVcXFqi4tdcm81aWlqiouliSNHz9eSUlJLpkXgPNlZ2fbjwdfM96hY181yrZgmtVq1enTpx06NuApOssLGIxe8o0aIP+rQuUbNaDVd9JXWl7AHY0GUud5gaafxaNuGO302JqKvmFMm3EAANCWpnmBsiPnVXG6jboyq1U3fXW8w3Fu+up4s1X5O1NxKl/lRy5IIi9wpeqoXkC1tdKpU9KXX0rvvy+99Za0YoXtv++/bzt/6lSzRgjqBZrzjMrVPqSuzlZ84u2m35yH1BoDPTJ//nxVV1dLksIS45T0ynxFTh7p0DkiJ49U0ivzFZZoe7Gorq7W7bffrt27dzt0HmfqK00Gn3/+uf25AfED3RVWmwbED7Ifp6WluTESAIAnmD9/vv34wuYDXb6vcE92O+d73wxxYXOm/XjBggW9Hg99R1RUlB577DGdPHlSGzdu1B133KGhQ4d26d6hQ4fqjjvu0CeffKKTJ0/qscceU1RUlJMjRmMeQJK8vTwridQ0ntratlenATxZbm6uZs+erUWLFslkMtnPB0ZEKGb8eF3z/e9r/Jw5unbmTI29+WZdO3Omxs+Zo2u+/33FjB9vL9SXJJPJpEWLFmn27Nn2z9T9RV9pMti/f7/9ODA83GkxtSUgLKzNOAAAaMlgMGjp0qX2x/nZbX/2d7Sm8yxduvSK/4Ia6E+afh73C3TsqvS+AQPsxzU1NR1cCfRN7eUFQsYO0YglN+m6F36mqX+7T/+06l5NemOh/mnVvZr6t/t03Qs/04glN9kL9aUrJy/gqY0GTT+LB18z2KkxtRTcpDaAnAAAoDMt8wJ561u/dow8U6ihF0wdjjP0gkkjzxR2ed68Dy/Xr5EXuLJRL+Ac3u4OoK/x9bWtit5gcc/8ZjfNCzhCYyNE5NR4jX5klrx8nPNPkE+wv6598jYdXbZZxftOqrq6WrfeequysrI0ZMgQp8zpSE2L9z2xyaDskG0r788+++zy+REeFufIy/FkZWW5bYsrAIBnmDVrluLi4pSTk6OStNOquWjqdFeqhooalR441+ZzpZnn1FBRI+8B/j2Kp/qCyb5DRVxcHK9TVyij0ai5c+dq7ty5kmwNsenp6crKylJlZaVqa2vl5+enoKAgJSQkKDk5WdHRrlnxC8015gEkqcHiWSvLNY3Hz8/PjZEA3ZeRkaGZM2c2280vLDZWA+PjO9z5wMtoVGB4uALDwxU1YoSqS0uVn50t06VCh61btyopKUnbtm1TYmKi038OV+grTQYZGRm2A4NB/iEhToyqtYDQUNuuIVZrpztYAABw55136vHHH5fJZJIpN1fhMTEKGey8or2yixft71XCwsI0b948p80FwPWafh6vrSp36Nh11Zd3q/T371kuEvBUbeUFom8Yo5gfT+pw5wMvX28Fjxqs4FGDNWTORFWcylfeh2kq2HVUUv/PC3hqo0FjTsBg9FLQMNcW5AUOi5a8DJKFnAAAoGua5gUKdh1V9A2jFXH9CPvzN+7u2uKIN+w5oZNd2LGp+JtT9vcq5AXQiHoBx6IZopuioqJ0/vx5lddZVG+2ysfoug6terNV5XV0Q6BvC0uMc2ojRCMvH2+N+a/ZOvzMxzJl5KikpES//OUvtXHjRo/vrDx06JD92JObDM6ePWs/9gkJcEc47fIOvpwQrqysdGMkAABPYDQatXjxYj3++OOSVcpZu1ejH5rV4T1FqSdlbacT2Wq2qOjrUxr0g2t7FM/Z9/ZKl+qXlyxZIqPR2KNx0L8MHDhQKSkpNMd4oAEDLq/CWFnvWc0QTeMJCgpyYyRA96Snp+sHP/iBSktLJUne/v4aOnGiQgYN6uTO1gJCQxWXnKzwmBidy8xUQ02NCgoKdNNNN2nHjh39ovChrzQZFBbaVsHy8fOTl4vf33gZjfLx81N9TY2KiopcOjcAoO8JDg7W888/r0WLFkmSzmVmanREhLybNEI7SkNdnc5lXt4d8oUXXlBwsGNXjgfgXvHx8fbjiycOOnTsC8dtu9waDAYNHz7coWMD7tQyL+AbEaT4X81QxKTu/z0fMGKgRj88S9E3jFb28s9UV1zZb/MCntxoYM8JhAfKy9e1pWhGP2/5RgSprrCCnAAAoEta5gWyl3+mxOV3y+dSvdkNe7raDJGtt+dN6/Ca+vIaZS+/vOAweQG0h3qB3vFydwB9TeMHJYtVulDR4NK5L1Q0yMMWoQS6xSc8UKMfme30RohGXj7eGv3IbPmEBUqSNm3apL/85S8umbs3Kiour/LiyU0GjTt9SJLBx7OKOL2axNN0e2IAwJXr3nvvVdillY0Ldh5VUerJDq8v2pPdyfNdS4C0um/fSRXsvLzqQ2OCBYDnGjdunP34fJlr8wCdyWsST0JCghsjAbouNzdXKSkp9oKHwIgIjb7pph41QjQVMniwRt90kwIjIiRJpaWlmjlzpnIvrcLcl3lCk4GkTgsK6urqJEkGNzV6GrxsqW7yAACArli4cKH9y+WGmhqdTk2VucGx7/fNDQ06nZqqhpoaSbadK++55x6HzgHA/UJCQjRq1ChJtuaFmvJSh4xbU15qb64YNWpUs8UagL6sZV4gZOwQJS6/u0eNEE1FXD9CicvvVsjYIZL6aV7AjY0GUsd5gcacgJeb6ga8vG3zkhMAAHRV07xAXXGljjyzQeaael19rljDzxV3aYwRZ4s0NLf9a8019Tr8zEeqK7Yt5EteAHAemiG6adKkSfbjc2Vml87t6vkAR4u/72Z7B6Wr+AT7K/6+m+2PH3zwQXuywFM1Jgokz24yaMpa71n/PlmaxNN0e2IAwJUrKipKL730kv1x9iufqb68ps1rG6pqVZKe0+F4Jek5aqiq6/CalurLa5T9yuVVH15++WVFRbl2FScA3ZecnGw/zi333GaIpnECnspqtWrRokUqKCiQZGuEGDF1qsNWYfb29dWIqVPtDREFBQW69957ZbX27dVF+kqTge+lP0er2T05AqvFtqsXeQAAQFcYDAatXLlS0dHRkqSq4mKd2rtXDXXd+6zfnoa6Op3au1dVxbaiiOjoaL3xxhsev3M1gJ6ZMWOGJMlcX6f0TWsdMmb6pjUy19c1Gx/o61rmBULGDtG4p3/ksBoCn2B/jXv6R/aGiP6WF/DkRoPGnIDFTXUDlgbbvOQEAABd1TIvUHbkvA499aG+t/NIt8a5sZ1FFuvLa5T11HqVH7kgibwA4Gw0Q3TTlClT7MffXnRtR3HGBTqY0XdF3zhGkZNHumXuyCkjFX3jGEmSyWTSm2++6ZY4usq3SRGIJzcZBARc3rWivqy6rcvdpqFJcWtQUJAbIwEAeJK7775bc+bMkSTVl1Tp2HObZalvXdhc8s1pWRs6fg221ptVsv90l+e21Dfo2LJNqjdVSZLmzp2ru+66qxvRA3CXgQMHKjY2VpKUV2aWxUO+PLVYrcort/1bNXToUHuyFvBkb7/9trZt2yZJ8vb31/DJk2X0duyKhkZvbw2fPFne/rZCiq1bt2rVqlUOncPV+kqTQWOTZ31trSwujtViNqv+UlFGZGSkS+cGAPRdsbGx2rZtm0JDQyXZGiKO7dihsu++69W4ZRcv6tiOHfZGiNDQUG3bts3+uQJA/7NkyRL78Zd/eVG1VRUdXN252qoKffmXl9ocH+jLmuYFfCOCNPbJ22X093HoHEZ/H4198nb7bgb9KS/gyY0G9pxASZUsda5dUMZc22BfcZucAACgO1rmBcqOnNfk9fu7NcYNe060Olf8zSll3P+uvRGCvADgfDRDdFNycrISEhIkSWdMDTrvolUh88oblFPqWStQAh0xN/3S2yDFzZvqvmAkXf3zqdKlxsrXX3+9eXwepuk2t57cZHD11VfbjytO5bsjnHZVnLwcT+O/2QAAGAwGrVixQuHh4ZIkU0aOji5r3RBR2EbCoi1dvc5S36CjyzbL9O1ZSVJ4eLhWrFjBqg9AH9K4MEKt2apjhfVujsbmaGG9as22xozJkye7ORqgcxUVFXr44Yftj4dOnOiwHSFa8vb11dDrrrM/fuihh1ReXu6UuVyhrzQZJCYm2g6sVtWUlTk7tGaqS0ulS81qSUlJLp0bANC3JSYmaseOHfbm4oaaGp3et085aWm215duqC4tVU5amk6npqqhxpZLj46O1s6dOy+/TgLolxISEnTLLbdIkkwXcrTlpcd6Nd6Wlx6T6YJt59pbbrlF48aN63WMgLu1zAvE/2qGw3aEaMkn2F/x999sf9xv8gIe3GjQ+F7Harao8kyhS2JrVHWmQLKQEwAA9EzTvMBwSYlmS7fuH30yX1ddNEmy1c8de36LDj+9wf76SV4AcA2aIbrJYDBo6dKl9sc7z7imUHmXi+YBHOUf//iH/Tg8ebj8B4e5LxhJAVeFKTxpmCQpJydHW7dudWs8HWma0PTkJoObb76cQKrI9rA4sy+v3JWcnOzGSAAAniYmJkYbN26073BUvO+kDj/zseovNfyZa+pVknamS2OV7D8tc03HRdH15TU6/PQGFe87KUkKDAzUxo0bNWTIkJ7/EABcbv78+fbjPbk1HVzpOnvPXY5jwYIF7gsE6KIPPvhAJpNJkhQWG6uQQYOcOl/I4MEKu7TKkslk0tq1a506nzP1lSaDSZMm2Y+rSkqcGldL1Zf+brWMAwCArkhMTFR6erpSUlLs50y5uTq+c6dOfPmlCk+dUmVxcaumRIvZrMriYhWeOqUTX3yh4zt3ypSba38+JSVF6enpmjhxoqt+FABu9NprrykwMFCSlLruDX35lxd7NM6Xf3lRqevekGTLJb722msOixFwp6Z5gegbxihi0nCnzhdx/QhF3zBGUv/JC3hyo0HTz+LlJy46Pa6mypvUBpATAAD0RGNe4PHRo3t2/1tfKPOR9/Xtg2tVsOuo/Tx5AcB1aIbogTvvvFNhYWGSpIyLdTpSUOfU+Y4U1CnjonPnABztr3/9q/34qtkT3BjJZVfNvrwq5DvvvOO+QDrRtHjfk5sMfvjDH9q376o8mS9rNztjncVqtqjyVIEkaejQofYVvQAAaDR9+nRt2LDB3hBhyshR+n2rVZR6UiXpZ2Spbb2ykjGw9crVltoGlWTktDtP0b6TSl+62r4jRGBgoDZs2KDp06c76CcB4CqzZs1SXFycJOlYYb2Kqty701xhlVnHimzNWHFxcc2KtgBP1fRz+MD4eJfM2XSeV199VdZLRf19TV9pMmjcRUeSSvLynBVSm5rO1zQOAAC6KjY2Vps3b9Zbb71l/w5QkqqKi5V38KCyv/xSBzdt0uFt23Rk+3Yd3rZNBzdtUvaXXyrv4MFmr9FhYWF66623tHnzZnsOHUD/N2LECL344uUGiM0vPqqPfn+/aqsqunR/bVWFPvr9/dr84qP2cy+99JJGjBjh8FgBd2iaF4j5sWsK1mN+dPl79/6SF/DURoOmn8ULdx1zakwtNS06JScAAOip2NhY/aJJPqA7btx3UuVHL9gfkxcAXI9miB4IDg7W888/b3+87kiFquqdUwRcVW/RuiNdS5AAniQtLU2SZAzwte/I4G7hycNkDLAVMqampro5mvYNHDiwzzQZNCYTzNV1Kkk/48boLitJOyNzta2BbPLkyW6OBgDgqWbMmKHt27crPDxckm176SPPfqzTb33R5vXD7/lem+eLdp9oda76gknHXtiiI//9sepNVZKk8PBwffrpp812VgLQdxiNRi1evFiSZJW07WSVW+P59GSVGr+6XbJkiYxGo1vjAbriyJEjkqTAiAgFhIa6ZM6A0FAFRkRIkg4ePKj09HSXzOtofaXJIDk5WQkJCZJshaPVpaVOja1RdWmpqoqLJUnjx4/vdAcLAADaYzAYtHDhQp09e1avvfaa/XXNzmpVfU2N6qqqVF9TY989qdH48eP12muv6ezZs1q4cKEMBoMLowfgCX75y1/q6aeftj9OXfeGXvpJova8/4pqytt+f1xTXqo977+il36SaN8RQpKeeeYZ3XvvvU6PGXCVxrxAyNghGjDcNYvZDRgxUMFjr5LUf/ICntpo0DQnUHbkvCpOFzg9NkmqOJWv8iO24lNyAgCAXsnNlaGH9YRTJcWIvADgTjRD9NDChQvtKy+W1Vq16tty1Zkd20VeZ7bq7YxyldX2ze50XLny8/N1/vx5SVLQyIEyGD3jnxqD0UtBI2yJlXPnzqmgwDUfwHuirzQZzJ8/3/78hc0H3BJXSxc2Z9qPFyxY4L5AAAAeb/r06Tp48KDmzJljP1ebX9bqOr+BIRp0y3j5DQxp9VzxN6dkqW+Q1WxR8dendOi3f1fa4lUq2Hn5C4I5c+YoKyuLHSGAPu7ee+9ttkvkoXz37OCYlX9598jQ0FAtWrTILXEAPRUeE+O2+fbt2+fSuR2lrzQZGAwGLV261P44PzvbqfG1Nc/SpUv5ggkA0GvBwcFasmSJDhw4oP3792v58uVasGCBJkyYoJiYGEVFRSkmJkYTJkzQggULtHz5cu3fv1+ZmZlasmSJgoOD3f0jAHCjJ598UitWrFBgYKAkyXQhRxuX/YeevTlGy++cqvVPL9bG5x7S+qcXa/mdU/XszTHauOw/ZLpg24E2MDBQb7zxhp544gl3/hiA00TdMNql80XfMMZ+3B/yAp7aaNAyJ5C3fr/T45OkvA/T7MfkBAAAvfLhh726fc/DD5MXANzIMyqU+yCDwaCVK1cqOtpWWH3G1KCV6WUO2yGiqt6iN9LKlFPaIEmKiopyyLiAKzTuCiFJA+IHujGS1gbED7IfN43T0/SVJoNZs2YpLi5OklSSdlo1F01uiOyy6gsme/NIXFycvWkNAID2xMTEaOPGjXrnnXfsX1C2FDXtGhm8DIqcFt/qOXNVnTL+/T3t+9lrOvzMBpWknVHjcu1hYWFavXq1Nm7cqCFDhjjxpwDgClFRUXrppZfsj9c7cZfI9lTVW7S+ye6Rzz77LPkC9DmBl3ZlcpWAJtta79/vmi/iHa0vNRnceeed9sYxU26uyi5edFZ4kqSyixdlys2VZHvvNW/ePKfOBwC4shgMBiUnJ+u+++7TqlWrlJmZqdzcXBUUFCg3N1eZmZlatWqV7rvvPiUnJ1N8B8Dul7/8pQ4ePKhbbrnFfs5cX6e8w2na/9Eq7fm/P2v/R6uUdzhN5vrLiy3ccsstOnjwIDtCoF8Lvmawa+drUh/QX/ICntpo0DQnULDrqIq/OeXM8FT8zSn7zhXkBAAAvbZuXa9uv/rrr8kLAG5EM0QvxMbGatu2bQoNDZVka4h4Ya9JRwp6tzrkkYI6vbDXZG+ECA0N1V//+tdexwu4yqFDh+zHA0Z4WDPEyMvxZGVluTGSjvWVJgOj0ajFixfbLrJKOWv3uilCm7Pv7bUXoC5ZskRGo9Gt8QAA+gaDwaD58+frtttua/P5yOm2Joioade0+Xz12SL77kmS7bXyD3/4g06cOKG7776bpAfQj9x999323WTK66xae7BCDRbX7ObYYLFqzYEKVdRdnu9f//VfXTI34DAGg/xDWu+05EwBoaHSpdfi9PR0l87tSH2lySA4OFjPP/+8/fG5zEw11DlnJ52Gujqdy7y8cMMLL7zAilsAAADwGCNGjNC2bdt08OBB3X///Ro9enSrPKHBYNDo0aN1//33KysrS9u2bdOIESPcFDHgfAajl4KGuXZhj8Bh0ZJX/8oLeGqjQcucQPbyz1RfXuOU+OrLa5S9/DP7Y3ICAIBeuXhR+uqr3o3x5ZfSd985Jh4A3UYzRC8lJiZqx44d9h0iymqtevvbcr13sFx55Q3dGiuvvEHvHSzX29+Wq6zWVtwQHR2tnTt3avz48Q6PHXCWiorLK5X6hAS4MZLWvIP97ceVlZVujKRjfanJ4N57772ceNl5VEWpJ90QoVS076QKdl5OyCxatMgtcQAA+qb6+npt27at1XnfiCAFj7pKkhQ8+ir5RgS1eX9sbKzuuOMOffLJJzp58qQee+wxVmsH+iGDwaAVK1Yo/NLK9seL6rXmQLnTGyJsjRDlOlFc3yoeoC/x8fOTl4ub1r2MRvn4+UmSioqKXDq3I/WlJoOFCxfaF1FoqKnR6dRUmRu6lyftjLmhQadTU9VQYyuqmDVrlu655x6HzgEAAAA4QkJCgv785z/r6NGjMplMSk9P1549e5Senq7S0lIdPXpUf/7znzVu3Dh3hwo4nU94oLx8vV06p9HP257X7095AU9tNGiaE6grrtSRZzbIXFPfyV3dY66p1+FnPlJdsa3eg5wAAKDXPvpIsnb8XV9qUlzHY1ittnEAuAXNEA6QmJio9PR0+xt6Scq4WKeX9pVq+del2n2uRmdL61Vvbv4PZr3ZqrOl9dp9rkbLvy7VS/tKlXHx8peYKSkpSk9P18SJE131owAOUdfky3iDj2etzO/VJJ7a2lo3RtK5vtJkEBUVpZdeesn+OPsV5yVe2lNfXqPsVy4nZF5++WUKUAEA3bJjxw6VlJS0Oh857RoZLq0aZfAyKHJqfJv3v/322/rggw80Z84cdiYC+rmYmBht3LhRAQG2xu9DBfVa9W25quotTpmvqt6itzPKdajAsV8aAu5gcNNrpMHLlgL19DxAZxYuXKgf/OAHkjy7ycBgMGjlypX2xWOqiot1au9ehzVvNNTV6dTevaoqLpZkW0zmjTfeoEEMAAAAHi8kJESJiYmaOnWqEhMTWcUcVxwvN9UOeHnb5u1PeQFPbTRomRMoO3Jeh5760GH1A/XlNcp6ar3Kj1yQRE4AAOAg69d3+HS9t5eeu+9m1Xt3Um7dyTgAnIdmCAeJjY3V5s2b9dZbb9mLlyUpp7RBHx2t1J+/LtMTO4r17Bcl+sNXJXr2ixI9saNYf/66TB8drVRO6eUvLsPCwvTWW29p8+bNio2NdcNPA/SOr6+v/dhab3ZjJK1ZmsTjd2llSE/Vl5oM7r77bs2ZM8d2T0mVjj23WZZ6xxZktMdS36Bjyzap3lQlSZo7d67uuusul8wNAOg/1reTmIiadk2zx5HTr2nzuvbuB9A/TZ8+XRs2bLA3RBwvqtfze0w6lO/YVdqz8uv03B5Tqx0hgL7KanZPjsBqsTUreXoeoDMGg0F//OMf7Y89uckgNjZW27ZtU2hoqD3WYzt2qKyX24SXXbyoYzt22GMMDQ3Vtm3byKECAAAAQB9gcVPtgKXBNm9/ywt4aqNBy5xA2ZHzyrj/XRXvP92r+Iq/OaWM+9+1x0dOAADgEEVF0o4dHV6yf2KcvhsYov3XXd3xWDt2SJdy1wBci2YIBzIYDFq4cKHOnj2r1157TQkJCc2et1il0lqLiqstKq21yNJiZ53x48frtdde09mzZ7Vw4UI6l9FnDRgwwH5cX1btxkhaa2iSCAgKCnJjJF3TV5oMDAaDVqxYofDwcEmSKSNHR5c5P1ZLfYOOLtss07dnJUnh4eFasWIF/34CALrFbDbroza2rPQJC1TItUOanQu9NkY+oQGtrv373/8us5sKPAG4x4wZM7R9+3b7e+DyOqveySzXewfLVVTVu38PCqvMeu9guVZnlquizpY8aLrwAtBX1dfWyuLi10uL2az6Sys/RkZGunRuZxgypPl7E09uMkhMTNSOHTvsq0E21NTo9L59yklLU3VpabfGqi4tVU5aWrNdK6Kjo7Vz504lJib2OEYAAAAAgOvUl1TJUuea77obmWsb7Lsc9Me8gKc2GrTMCdQVV+rw7z7Ssee3qOJUfrfGqjiVr2PPb9HhpzfY/yzJCQAAHObjj6VOvrfYOS1ekrRrWtsLJ9o1NNjGA+ByNEM4QXBwsJYsWaIDBw5o//79Wr58uRYsWKAJEyYoJiZGUVFRiomJ0YQJE7RgwQItX75c+/fvV2ZmppYsWcJ2mOjzxo0bZz/u7gdZZ6s4eTmelg1LnqgvNRnExMRo48aN9tVxi/ed1OFnPnbabhb15TU6/PQGFe87KUkKDAzUxo0bWyWAAADozFdffaX8/NbvWSInj5TB2Pwjk8HopYgpI1tdm5+fr927dzstRgCeafr06Tp48KC9gVmSMi7W6X93m/RWepkOF9TJYrV2MMJlFqtVhwvq9FZ6mZbtNinj4uWV3ufMmaMvvvjC4fEDLme1qqaszKVTVpeWSpf+f5iUlOTSuV3Fk5sMEhMTlZ6erpSUFPs5U26uju/cqRNffqnCU6dUWVzcqknGYjarsrhYhadO6cQXX+j4zp0y5eban09JSVF6eromTpzY6xgBAAAAAK5hNVtUeabQpXNWnSlQ40ql/TUv4KmNBm3lBAp2HdW3D65V5n+9r/ObvlX5sQsy1zavfTDXNqj82AWd3/StMh95X98+uFYFu47anycnAABwqHXrOny6wcugrybb6gO+mjxSDV6dLNDbyXgAnMPb3QH0ZwaDQcnJyUpOTnZ3KIBLNf07X5HtYc0Q2ZdXSuwr/99sbDKYMWOGqqur7U0Gox+ZLZ9gf4fPV19eo2PLNtkbIbrTZDB9+nRt2LBBt99+u6qrq2XKyFH6fasVf9/NipzcunC0p4r2nVT2K5/Zd60IDAzUhg0bNH36dIfNAQC4cqxfv77N85HtrOwQNe0afbctq81xvv/97zs0NgCer/H9+rvvvqsHH3xQpaWlsko6WlSvo0X18jMaFBNsVEyIt2JCvBXkY5C3l0ENFqsq663KK2uw/a/crFpz88aJsLAwvfzyy7rrrrtUWOjaL4oBZ6kqKVHgpYZ/V6g2mezHkyZNctm87mDKzZUpN1eBEREKj4lRQFiYAkJD5WU02q+xmM2qLi1VtcmkktxcVZWUNBsjJSVFK1eu7NWOEC3FxsZq8+bNWrVqlR566CGZLv2ZVBUX23eikMEgHz8/Gby8ZLVYbLt5tNFMFhYWphdeeEH33HMPu0ICAAAAQB9UfuKigkcNdt18TeoD+nteoGDXURXsOqrgsVcp+oYxCo4fpMBh0TL6XS4NM9c2qOpMgcqzv1PBzqMqP3qh2RiOzgu0lxMoP3LBvguFvAzyjQiSl7dRlgazrSnDQk4AAOACpaXS9u0dXvLt+FiVhdgWBi4NDVBmQqySD5xr/4bt26WyMikkxJGRAugEzRAAHG7gwIEaMmSIzp8/r8qT+bKaLa1WVXYHq9miylMFkqShQ4fat2TsC/pSk8GMGTO0fft23XrrrSopKVF9SZWOPPuxom8co7h5U+U/OKzH8VVfMOnse3tVsPPyyg/h4eHauHEjjRAAgB6xWCxtNkN4D/BT6IS2k/2h44fKGOQnc2Vts/Pr16/Xiy++KC8v97/vAeBaBoNB8+fP15w5c/Tmm2/q9ddfV05OjiSp1mzVKVODTpm6vrtbXFyclixZokWLFikqKspZYQNuUZKXp6gRI1w6X6MpU6a4bF5Xeumll/Tb3/7Wo5sMDAaDFi5cqJ/85Cdau3atXnnlFWVlNWkutVpVX9P+zpLjx4/X0qVLNW/ePHbVBQAAAIA+rHDXMQ2ZM9Fl8zXdUeBKyQt4WqNBpzkBi1V1hRXt3k9OAADgNJ98ItXXd3jJzunXtHrcYTNEXZ1t3J//3BERAugiqnQAOEXjrgvm6jqVpJ9xbzCXlKSdkbm6TpI0efJkN0fTfTNmzNDf/vY3++PGJoNjL2xRzUVTr8auvmDSsRe26Mh/f2xvhAgPD9enn36qm2++udvjTZ8+XQcPHtScOXPs5wp2HtX+X67Sod/+XcVfn5LVbOnSWFazRcVfn9Kh3/5daYtXNWuEmDNnjrKysmiEAAD0WGpqqs6fP9/qfMQ/jZSXt7GNOyQvH6MiJ7cu4szLy9PXX3/t8BgB9B1RUVF67LHHdPLkSW3cuFF33HGHhg4d2qV7hw4dqjvuuEOffPKJTp48qccee4xGCPQrY8eOlWQr1K8uLXXJnNWlpfamgPHjxyspKckl87raz3/+c509e1avvfaaEhISmj95qcmgrqrK1mzQohFi/Pjxeu2113T27FktXLjQ6SsrBgcHa8mSJTpw4ID279+v5cuXa8GCBZowYYJiYmIUFRWlmJgYTZgwQQsWLNDy5cu1f/9+ZWZmasmSJRQ9AAAAAEAf1ZgXKDtyXhWnC1wyZ8WpfHtTwBWbF7jUaFBzsdTWcGBxX16AnAAAwOO0sWhiUxaD9OWU+GbnvpgaL0tnL5edjAvA8dgZAoBT/PSnP9XGjRslSRc2H1DE9a5b9bE9FzZn2o8XLFjgvkB6oa0mjoKdtu0uw5OG6arZ1yk8eViXduKwmi0qSTujC5szbQ0rTfIec+bM0RtvvKEhQ4b0ONaYmBht3LhR7777rh588EGVlpZKVltTSknaGRkDfBU0IloD4gdpwMiB8g72l5ePUZZ6sxrKa1RxMl8V2d+p8lSBvYmlUVhYmF5++WXdddddbIEJAOiVtnaFkKSoFis8tBQ5/Rrlf36kzfH66+pSALrOaDRq7ty5mjt3riQpPz9f6enpysrKUmVlpWpra+Xn56egoCAlJCQoOTm5T+1cB/TEggUL9Oijj0qS8rOzFXdpEQVnys/Oth8vXbq0X39+bCwoWLx4sdLT07Vv3z7t379f6enpKioqsv+7ExkZqaSkJE2aNElTpkxRUlKSW34vBoNBycnJ9sU0AAAAAAD9W9O8QN76/Rr98Cynz5n3YZr9mLyA5+QFyAkAADxCRYW0ZUuHlxy4NkbF4UHNzhWHB+ng2CG67nDrBRfttmyRKiuloKD2rwHgUDRDAHCKH/7wh/bjkrTTqrlokv/gMLfFU33BZN+hIi4uTikpKW6LxSk8tMnAYDBo/vz5mjNnjt588029/vrrysnJkWTbNaTsUJ7KDuV1eby4uDgtWbJEixYtYpVcAECvWa3WNpshjAG+Cku8usN7wyfGyRjgI3N1820z169fr2XLlvXrL1UAdN/AgQOVkpLS/z6HAN3wk5/8RH/4wx9kMplkys1VeEyMQgYPdtp8ZRcvypSbK8n2WXfevHlOm8uTUFAAAAAAAPBETfMCBbuOKvqG0U5dULH4m1Mq2HVUEnkBAADQhi1bpJqaDi/ZNS2+nfPXdNwMUV1tG/+OO3oTIYBu6HzpcADoAaPRePmBVcpZu9d9wUg6+95e+84HS5YsaR5fH/fEE08oLi7O/rixyeD8hnQd/+NWHf7dR8p6Yr0O/+4jHf/jVp3fkK6yQ3nNGiHi4uL0hz/8QSdOnNDdd9/t8ALOqKgoPfbYYzp58qQ2btyoO+64Q0OHDu3SvUOHDtUdd9yhTz75RCdPntRjjz1GIwQAwCEyMjJ05syZVucjrh8uL5+O+8a9fL0V3sYXNadPn9a3337roAgBAOg/BgwYoOeff97++Fxmphrq6jq4o+ca6up0LvPy7pAvvPCCgoODnTIXAAAAAADoXMu8QPbyz1Rf3nEBYk/Vl9coe/ln9sfkBQAAQCttLJrY0hdTr2nz/K6pbTdJdHd8AI7DzhAAXKJg51FF/fMoRU4e6fK5i/adVMHOy6s+LFq0yOUxONMDDzyg3/72t9qyZYtWr16t1NRUnTt3rtP7hg4dqsmTJ2vBggVKSUlxSYOI0WjU3LlzNXfuXElSfn6+0tPTlZWVpcrKSvv2nEFBQUpISFBycrKio6OdHhcA4Mq0bt26Ns9HTms7qdFS1LR4FX5xrM1xExMTexUbAAD90cKFC7Vu3Tpt3bpVDTU1Op2aqhFTp8ro7bgUpbmhQadTU9VwaUWnWbNm6Z577nHY+AAAAAAAoGea5gXqiit15JkNGvf0j2T093HYHOaaeh1+5iPVFVdKIi8AAADaUFMjbdrU4SWHRg9WfnTbzZT5A0N0eNRgXXv8YvsDfPKJbR5//95ECqCLaIYA4DLZr3ymkGtj5BPsuhf5+vIaZb9yedWHl19+uV/uKtBXmwwGDhyolJQUpaSkuDsUAMAVxmq1an0bqzF4+XorPHlYl8YITx4uL19vWeoamp1fv369nn32WYfvtAQAQF9nMBi0cuVKJSUlqaCgQFXFxTq1d6+GT54sb1/fXo/fUFen06mpqiouliRFR0frjTfe4DUZAAAAAAAP0DIvUHbkvA499aHGPnm7Q2oI6strdPiZj1R+5IIk8gIAAHi8+nrp8GGprMy18+7fL1VUdHjJrk4WUNw1Lb7jZoiKCum116RJk3oSYZf4mEz65xbnjFlZ0j//s+TjuGZToC+gGQKAy9SXVOnYc5t17ZO3ycvH+f/8WOobdGzZJtWbqiRJc+fO1V133eX0eT0BTQYAAHTs0KFDOn78eKvz4ZOGdXkVKqO/j8KTh6lob3az88eOHdPhw4c1btw4h8QKAEB/Ehsbq23btummm25SaWmpqoqLdWzHDg2dOFEhgwb1eNyyixd1LjPTviNEaGiotm3bptjYWEeFDgAAAAAAeqllXqDsyHll3P+u4n81QxGThvd43OJvTil7+Wf2HSHICwAA4MHMZunpp6X/+R+putrd0bRp57T4Tp6/Rv/2zlcdD/Kf/+nAiFoLk/Rly5M/+IEUECA99pj0619LRqNTYwA8Bc0QAFzKlJGjo8s2a8x/zXZqQ4SlvkFHl22W6duzkqTw8HCtWLGCVR+cLD8/X2lpaTp06JAqKipUV1cnX19fDRgwQOPGjVNycrIGDhzo7jABAB7AbDbrmWee0SeffKKSkhKXz1/WzuoSUZ2s8NBS5LRrWjVDSNIPf/hDhYSE9Ci2rjKbza3OpaSk6F/+5V/0+OOPy0hiAwDgoRITE7Vjxw7NnDlTBQUFaqip0el9+xQWG6uB8fEKCA3t8ljVpaXKz86WKTfXfi46OlqffvqpJk6c6IToAQAAAABAb7TMC9QVV+rw7z5S9A1jFPOjZA0Y0fXvkytO5SvvwzQV7DpqP0dewD2oFQAAdFXQk09Kb77p7jDadXxEtC4MDuvwmvNXhenE8Ghdc7rANUF1R3W19JvfSIWF0p/+5O5oAJegGQKAywQEBKi6ulrF+07q8DMfa/Qjsx2y3WVL9eU1OrZsk70RIjAwUBs3btSQIUMcPteVzmw2a/PmzXr33Xe1b98+5TYpPmlPbGyspkyZovnz52vWrFkUagLAFerJJ5/Umx6W4DB4GxV+ffdWnor4p+EyeBtlbWjemPDdd9/pu+++c2R4XZKenq709HQVFhbq5Zdfdvn8AAB0VWJiotLT03Xvvfdq69atkiRTbq5MubkKjIhQeEyMAsLCFBAaKq8mnxstZrOqS0tVbTKpJDdXVS2aKlNSUrRy5UpWfgQAAAAAwIO1lRco2HVUBbuOKnjsVYq+YYyC4wcpcFi0jH6XS5vMtQ2qOlOg8uzvVLDzqMqPXmg2LnkB16FWAADQEyMlBbz9trvD6NCuLi6guGtavGc2QzR69VXpgQek+I53uQD6A5ohALjM6tWrNX/+fFVXV8uUkaP0+1Yr/r6bFTl5pMPmKNp3UtmvfKZ6U5UkWyPEhg0bNH36dIfNAamwsFArV67UihUrlJOT0617c3NztW7dOq1bt05xcXFavHix7r33XkVFRTkpWgCAJ/rrX//q7hBaCUu8Wt6Bft26xzvQT2ETr1bJ/tNOiqpnVq9erRdffFFeXl7uDgUAgHbFxsZq8+bNWrVqlR566CGZTCZJUlVxsaqKi20XGQzy8fOTwctLVotF9bW1ktXaaqywsDC98MILuueee9gVEgAAOFRDTY2KDx1SxLhx8vZ3/AJPAABcqdrLC5QfuaDyI5eaHLwM8o0Ikpe3UZYGs+qKKyULeQF3olYAANAbEyUZLBZ3h9GhXdO61jywa9o1WrR2r5Oj6QWzWcrMpBkCVwSaIQC4zI033qjt27fr1ltvVUlJiepLqnTk2Y8VfeMYxc2bKv9OtpfqSPUFk86+t1cFOy9vfxkeHq6NGzfSCOFAVqtV7777rh588EGVlpY2e84Y4KugkQM1IH6gBowYKJ+QABl8jLLWm1VfVq2KU/mqyM5X5cl8mavrJEk5OTl6/PHHtWzZMr300ku6++67SU4BwBXC399f5eXl7g6jmajpXVvhodV9/3yNxzVDBAQE0AgBAOgTDAaDFi5cqJ/85Cdau3atXnnlFWVlZV2+wGpVfU1Nu/ePHz9eS5cu1bx58xQcHOyCiAEAwJVm98MPK2/HDsX+4Af6/p//7O5wAADoVzrNC1isqiusaPd+8gKu01GtgPz8pJgYKTZWGjJECgqSvL2lhgapslI6f17KzZXy8qTaWknUCgDAlcrTC5ZPD41QztDILl175upInRkaoWHnip0cVS/U17s7AsAlPP3fFgD9zPTp03Xw4EEtXrxYmzZtkiQV7LRtdxmeNExXzb5O4cnDZDB2XrxnNVtUknZGFzZnqiT9jNRkAYg5c+bojTfe0JAhQ5z0k1x58vLymv25SZIMUnjycF01e4LCkzr+cxt401hJl/7c0s/owuYDKkk7LVklk8mkBQsW6IMPPuDPDQCuEEuWLNEzzzzj7jDsAq+OVPT3x/To3ujvj1He+v2q8qAkx3/8x3+4OwQAALolODhYS5Ys0eLFi5Wenq59+/Zp//79Sk9PV1FRkWpra+Xn56fIyEglJSVp0qRJmjJlipKSkvii3ANYrValpaXZ/9wyMjJUWFiouro6+fr6KioqSomJifY/t+TkZP7cAAB9QtXFi8rbsUOSlPv556r67jsFDhrk5qgAAOh/yAt4trZrBQzS6NHStGm2/3a0QFNysu2/Fot07Ji0Z4/tv1YrtQIAcIX5VJLV21uGhgZ3h9KmDSkTunn9eD24cpeTouklb29p5kx3RwG4BM0QAFwuJiZGGzdubL5qgFUqSTujkrQzth0GRkRrQPwgDRg5UN7B/vLyMcpSb1ZDeY0qTuarIvs7VZ4qsO8w0CgsLEwvv/yy7rrrLpIeDrR79277jh6Nerqjh8HopYjrRyji+hGquWhSztrLO3ps2rRJCQkJ7OgBAFeA+++/X4GBgXriiSdkNps7vDYgJlz+V4U5JQ6Dl0FBw6MV8y9J8vIx9mgMLx+jJiz7qfI+Slfl6QJZ29ii2xGqz5eo5rypw2u8vb317LPP6pFHHnFKDAAAOJvBYFBycrKSG78kh0crLy/XmjVr9OqrrzZfubOF8+fP68CBA1q9erUkKSEhQUuXLtWdd97Jyp0AAI927h//aP74s880et48N0UDAED/R17A87RVK6DERFtxZWTXVs628/KSxo61/a+oSNq2TcrIkEStAABcKUokVT71lAY89ZS7Q2nl+IhofTS7e80Qf599nWb947BGnSpwUlS98NxzUni4u6MAXIJmCABuYTAYNH/+fM2ZM0dvvvmmXn/9deXk5EiSzNV1KjuUp7JDeV0eLy4uTkuWLNGiRYsUFRXlrLCvSNu3b9ftt9+u6upqSZJPeKDi77tZkZNH9nps/8FhGv3QLEX98yhlv/KZ6kuqVFJSohkzZmjDhg2aMWNGr+cAAHgmg8Ggxx57TDfeeKN+/vOf6/Tp0+1eW1tQpiG3J2pwygSPbXb0HuCvuDunOWVsq9Wqi1sO6PRbZzu9duPGjUpJSXFKHAAAAI2sVqvefvttPfzwwzKZTK0vMBjk4+cng9Eoq9ms+tpayXq5YTQrK0tLly7V448/rueff14LFy702Pd5AIAr27nt21s9phkCAABcKVrWCig4WPrxj6Vx43o/eGSk9POfS9ddJ61fL5WXUysAAFeI6iVLNCAoSHr0UckDdogoDgvUrqnxenXh92X27t4CimZvo+77359q6dtf6MY9JxReWu2kKLvB21tatkz69393dySAy9AMAcCtoqKi9Nhjj+mRRx7Rli1btHr1aqWmpurcuXOd3jt06FBNnjxZCxYsUEpKiozGnq3mjPZ99dVXzZIbYYlxGv3IbPkE+zt0nsjJIxVybYyOPbdZpowcVVdX6/bbb9f27dtZ9QEA+rkpU6YoIyND//Zv/6b/+7//a/MaS51ZJ1/9XKaMs4r/1QyHvw55svryGmX/ebuK9mZ36XpWywIAAM6Wm5ure++9V1u3bm12PjAiQuExMQoMD5d/SIi8muRpLGazasrKVFVSopK8PFUVF0uSTCaTFi1apHXr1mnlypWKjY116c8CAEBHaoqKVJCW1uxcQVqaaoqL5R8R4aaoAAAAXKNlrYBGjZLmzZMCAx070bhx0vDh0tq10vHj1AoAwJXiP/9T+t73pJ/9TDp5slu3lg3w03P33awD42J6HYbFyyBTSIDUi8V6avx99MelP9Qf/+0HCiurlpfF2vlNnZhwKE+PvPKZQipqu3WfedgwGf/2N+n663sdA9CX0AwBwCMYjUbNnTtXc+fOlSTl5+crPT1dWVlZqqysVG1trfz8/BQUFKSEhAQlJycrOjrazVH3b3l5ebrtttvsyY3IqfEa/cgsefk456XDJ9hf1z55m44u26zifSdVXV2tW2+9VVlZWRoyZIhT5gQAeIbQ0FCtXbtWt9xyi+6//35VVla2eV3R3myVn7io0Q/NUmhC/y+UK83K1bEXtqiusMLdoQAAAEiSMjIyNHPmTBUUXN7yOyw2VgPj4xUQGtrufV5GowLDwxUYHq6oESNUXVqq/OxsmXJzJUlbt25VUlKStm3bpsTERKf/HAAAdEXuP/4hq8XS7JzVYlHuP/6h+J/8xE1RAQAAOF/LWgElJNgaIbydVGYWGCjdc4+0Zo106BC1AgBwpbj+eik9XbrvPttrQBeFVNTqt89t1jv/vyl691//SRajlxOD7AaDQabQ3jUNGs0W3fW3VC14P1XGbjZVvCtp9uefK2r48F7FAPRFNEP0YYWFhe4Ooc9r63fI79Uxevu7NRgMSk5O7nB146ZfvF8pXPV31mq16p577lFJSYmkxh0hnNcI0cjLx1tj/mu2Dj/zsUwZOSopKdGCBQu0Zs0aGXrRgdsZ/i1wHn63zsHv1Tn4vTpPV3+3c+bM0ejRo7V48WIdPHiwzbHqCit08NfrNPSnk3X1TyfL4CmJDQeymi06+/4+nfvb11IHCY6xY8fqyJEjzc7xd7b3+B2iL+Hva+/x+u8c/F6dx52/2wMHDuhHP/qRysrKJEne/v4aOnGiQgYN6vZYAaGhiktOVnhMjM5lZqqhpkYFBQW68cYb9fe//13jx493dPgd4u+s8/C7dQ5+r87B79V5+urv9uTmzW2f37RJoTfe6Npg2tBXf6+ejt8h+hL+vvYe/5Y6B79X53HF77ZlrYB9RwhnNUI08vaW7rxTWrVKOn7cZbUCEn9nnYXfq/Pwu3UOfq/O0aXf6x//KL8pUzTg0Ufl1c7CiS0ZLVb94r29Ss48q2cemqX86GBHhOtWAwvK9eQLWzTxUF637iuXtFTSGkmHa2pkvQJrKh2J/9/3TQar1dr7PVngdAUFBRo4cKC7wwBwBfIJD1TSK/PlE+zvsjnry2uUvnS16k1VLpsTAND3hFw7RKMemiX/gSHuDsVhavLLdPz5LSo7ct7doaCJ/Px8diWD25EXAOBJAiMiNHzyZHn7+vZ6rIa6Op1OTVVVcbEDIgMAwDGCvLz06ujR8m6j8K7BatW/HTumqha7RqD/Ii8AT0BeAIBbBAdLDz9s27nBVaqqpOeekyrYNRsArjTxkv5P0qRu3lc2wE//88At+nJqvBOico3v7zmhR/+8XSEVtd267xtJP5N00ilRoRF5Ac9HM0QfQXIDgLuMfeI2RU4e6fJ5i/ad1JH//tjl8wIA+hZjkJ+u+dUMRU2/xt2h9Frh7hM68eftMld2L8EB5yO5AU9AXgCApwiMiNCIqVNldOCKkOaGBp3au5eGCACASwzy9dUd0dEKNhrbvSbIaNSIgIB2nz9VXa1Ks7nd58vNZq0rKNB3dXW9ihWegbwAPAF5AQBusWCBNG6c6+fNypJWr3b9vAAAt/OR9N+SHunBvX+fNUHLf3GD6vycvJuRA/nWNuhXb+3Sv2w50O17l0l6QlK9w6NCS+QFPB/NEH2Qs7d/A4BG0TeO0eiHZrlt/mMvbFHBzqNumx8A0HcMThmv4b+4QUZ/H3eH0m3mmnqdfnOXLm476O5Q0AIfl+GpyAsAcBdvf3+Nvukmh+wI0VJDXZ2O7dihhpoah48NAEBTvxwyRDeEhTl9nl0mk944z86PfRl5AXgq8gIAXCIxUfr5z903/3vvSRkZ7psfAOBWt0h6V9Kgbt536upI/fa/Zut0XJQTonKs4TmF+u2yzRpxtqhb912UdLek7U6JCk2RF+g7vNwdAADAQxmkuHlT3RrC1T+fKpHPBQB0wcWtB5X5n++p8kyhu0PplsrTBcr8z/dohAAAAH3C0IkTndIIIUnevr4aet11ThkbAICmvi0vl8XJX2ZbrFZ9W17u1DkAAACcxmCQZs50bwy33GKLAwBwRfpU0gRJW7t534izRVr5n+/p9i2ZkqcWslut+pfNmVr5n+91uxFiq6TrRCME0FLf2Q8Gdvn5+e4OAUA/9emnn+rOO++UJIUnD5f/4DC3xhNwVZjCk4apJO2MJGnt2rWaMWOGW2MCALhPenq6Fi9erJycnDafrzpXrG//8z2N+MUNGjx7gkevkGa1WnVhc6ZOv/WFrPXmdq8bNmyYVqxYocTERBdGB8DTkRcA4CqrVq3So48+KkkKi41VyKDursPVPSGDByssNlam3FxJ0rJly7RgwQKnzgkAuDIVp6cr6/e/V22h4xdV8IuKUsKvf61P+CwPwEnICwBwhqa1Aho9WoqMdG9AUVG2OI4elUStAABcsSwWVbz+uoL++79lqK/v0i1+dWY9/Ornuj7jrP73VzNUHuzv5CC7Lri8Ro/96VN9f9/Jbt1n9fFR5a9/reQlS5TlxRr4QEsGK/t4AAAu+clPfqJ169ZJkq596nZFXD/CzRFJxV+f0uFnNkiS7rjjDn3wwQdujggA4E5lZWX6t3/7N7333nsdXhcxeaSueWCGfEICXBRZ19WXVevEn7arOLXjBMe8efP06quvKiQkxEWRAQAAXGa1WjVhwgRlZWVJkkbdeKMCQkOdPm91aamO79wpSRo/frwyMzM9uskVANB31ZSUKPWJJ5R36XXHEWJuvFGTn31W/uHhDhsTAADAFZrWCmjhQmnsWPcGJEmHD0urVkmiVgAArnj790s/+5mUnd2t276LGqBnHpqlzIRYJwXWdddl5erJF7ZoUGFF926Mj5fef19KTnZOYEA/QIsQAMBu3759kiRjgK/Ck4a5N5hLwpOHyRjgK0lKTU11czQAAHcLCQnRmjVrtGrVKvn7t7+CQ3HqSWU8sEalB3NdGF3nTAfPKeOBNR02QgwYMEDvvvuu1qxZQyMEAABwm7S0NHsjRGBEhEsaISQpIDRUgRERkqSDBw8qPT3dJfMCAK48/uHh+v7y5Up+/HF5+fr2aiwvX18lP/64vr98OY0QAACgT2qsFZCfn21HBk8wZowtHlErAABXvEmTpPR06e67u3XboMIKvfzrdbrnvb0ymi1OCq5jRrNFC9fu0cu/Xtf9Roj5820/N40QQIdohgAASLJtqZubaysYDRo5UAajZ7xEGIxeChoRLUk6d+6cCgoK3BwRAMCdCgsL9T//8z/67W9/q5qamg6vrSuq0MFff6CcNXtkdVNio5HVbFHOmj3K+vU61RW1n+BITk5Wenq67rrrLhdGBwAA0Jq9CEJSeEyMS+duOl/TOAAAcDSDwaDR8+Zp5v/9n0JG9Gyn5JARIzTz/fc1et48djMCAAB9UtNaAcXESF6eUSsgLy9bPKJWAAAgKThYWr1a+stfpAEDunyb0WLVwv/bp5d+vU4D88ucGGBrA/PL9PLjH+ie91NltFi7fuOAAdKaNdI779h+bgAd8pB3rwAAd0tLS7MfD4gf6MZIWhsQP8h+3DROAMCVw2q1avXq1YqPj9fjjz+unJwc+3MG7w4+1lilc39N1YH/9zfVuDix0agmv0wH/t/fdO6vqVIH+Y2HH35Ye/bs0TXXXOO64AAAANqxf/9++3Ggi1e4DggLazMOAACcJXzMGKX87W8KGzWqW/eFjRqllL/9TeGesnoyAABADzT7Dj421n2BtKXJggnUCgAAJEl33illZEjXX9+t2yYeytM7D6zR2OMXnRRYc2OPX9Q7D6zRdYfPd+/G66+Xvv1WmjfPKXEB/RHNEAAASdKhQ4fsxwNGeFgzxMjL8WRlZbkxEgCAO+Tl5enWW2/VggULVFpaajtpkMInDde1T92uaet+pXG/+//kExbY7hjlRy4o44E1Mh0456KobUwHzinjgTUqP3Kh3WsGDhyorVu36rnnnpOvr68LowMAAGhfRkaG7cBgkH9IiEvnDggNlS6trJ2enu7SuQEAfYvVatX+/fu1fPlyLViwQNddd51iYmIUHR2tmJgYXXfddVqwYIGWL1+u/fv3y2ptf5UCg5eXKvLyujV/RV6eDEZjb38MAAAAt2paK6AhQ9wXSFuaNENQKwAAsIuPl776StZHHunWbcGVtVr2u48UWVThpMBsIosqtOx3Hym4srZ7Nz76qPTVV9LIkc4JDOinvN0dAADAM1RUXH6T5xMS4MZIWvMO9rcfV1ZWujESAICr7d69W7feeqtKSkrs56JvHKO4eVPlPzjMfi48aZgS/3Snjr+4TaaMnDZGksyVtTry3x/r+lX3yjvQ+U0HDVV1OvLsxzJX17V7zcyZM7V69WoNGjSo3WsAAADcobCwUJLk4+cnLxcXeXoZjfLx81N9TY2KiopcOjcAoG8oLy/XmjVr9Oqrr3ZYFHf+/HkdOHBAq1evliQlJCRo6dKluvPOOxUcHNzs2gt79qihm/nnhspKXdyzRzE33tjtnwEAAMBTNK0VUFCQ+wJpS5N4qBUAADSy5wW2bNFVkt6VNLiL94aVVevmL4/pr/+S7LT4bv7imMLKqrt+w6BB0l/+Is2Y4bSYgP6MnSEAAJKkurrLhZoGH89aycqrSTy1td3smAUA9Fnbt2/XjBkz7I0QPuGBGvvEbRr90KxmjRCNfMODNO63/5+G3fM9Gbzb/qhjrqpTxfH2d2lwpIrjF9pthPDx8dHzzz+vzZs30wgBAAA8UmOewF2rXRu8bO/nyAMAAJqyWq166623dPXVV2vp0qWtGyEMBvn4+8s3KEg+/v72nYYaZWVlaenSpbr66qv11ltvNdsp4tz27T2Kqaf3AQAAeIqmtQLy9rB1dZvEQ44AANBWXmC7pAmStnRjnNEnvnNShJfGz+7G+LNmSQcO0AgB9IKHvYMFALiLr+/lFbKt9WanzlVnqlJF9neqOlskc029rA1mGbyNMvr7KPDqSA2IHyTfsED79ZYm8fj5+Tk1NgCAZ/jqq690++23q7ratlpCWGKcRj8yWz5Ndgtqi8HLoNgfTVLo+Fgd/t1Hqi9tvdqCT7hrVjVqb56BAwdq06ZNmjRpkkviAAAA6InGPIHV7NwcQXusFosk8gAAgMtyc3N17733auvWrc3OB0ZEKDwmRoHh4fIPCWm2o5HFbFZNWZmqSkpUkpenquJiSZLJZNKiRYu0bt06rVy5UkMGDVLejh09i+vzz2Wpr5eXj0/PfzgAAAA3aloroIYG505WUSHl5koXL0p1dZLZLBmNkq+vNHiwFBsrDRjQZjzkCADgytZeXiBk7BAF3zBaj48cpBOHcvVva/bIp8HS4VglTerSnKFL4/v4SMuWSQ88IHmxrj3QGzRDAAAkSQOaJBTqu7NNVxdYzRYVp51W/udHVH7sguoKKzq9xzdqgIJHX6VBP7hW9eU19vNBnrYtJwDA4fLy8nTbbbfZGyEip8Zr9COz5OXT9Y8vQcOimjXTNfIbGKLAqyMdFmtHAq+OlN/AENXmlzU7X1NTo/Hjx7skBgAAgJ6KiorS+fPnVV9bK4vZ3Kyw1NksZrPqL632GBnpmvduAADPlpGRoZkzZ6qgoMB+Liw2VgPj4xUQGtrufV5GowLDwxUYHq6oESNUXVqq/OxsmXJzJUlbt25VUlKS1j//vOrKytocI/aHP9TEhx7St88/r9zPP2/1fF1Zmb775htdNW1aL39KAAAA92haK6DKSscObrFIR49KaWlSTo5UWtr5PaGhUlyclJzcLB5qBQDgytVWXiD6hjGK+fEkDRgebT/3wZirFFRn1i/e29vheFljrnJarJJ0aMxV0scZHV/0xBPSv/+7U+MArhQ0QwAAJEnjxo2zH1ecytfAm8b2esz60mpd/PSgLm492KoQtDN1hRUqKjyhot0nZAy4vBJFQkJCr+MCAHguq9WqxYsXq6SkRFLjjhDda4SQJNO3Z2Wuqmt1PnJavAwGg0Ni7YzBYFDk1Hid35De7HxZWZn+8Y9/aPbs2S6JAwAAoCcSExN14MAByWpVTVmZAsPDXTZ3dWmpZLVKkpKSklw2LwDAM6Wnp+sHP/iBSi8Vznn7+2voxIkKGTSo22MFhIYqLjlZ4TExOpeZqYaaGhUUFOi9p57S91oU13n5+ir50UcV/9OfymAw6Ht/+pNOvP++0pctk6Wuec7h3PbtNEMAAIA+q2mtgM6ftzUh9FZlpZSaKu3bJ136zqfLSkulAwds/2uyGwS1AgBwZWqZF/CNCFL8r2YoYtLwNq9Pzjzb4Xi1vkbta+deR9mbPFy1Pkb5tbGAo93nn0tPPeXUOIArBc0QAABJUnKThEZFdn6vxrJarcr//LBOrdwlc2Vts+eMAb4KGjlQA+IHasCIgfIJCZDBxyhrvVn1ZdWqOJWviux8VZ7Ml7na9oVS438l6cSJE5o5c6bLClkBAK717rvvatOmTZIkn/BAjX5kdrcbISSpcE92m+ejpl3Tq/i6K2pa62YISVq/fj3NEAAAwKNNmjRJq1evliRVlZS4thnCZGoWBwDgypWbm6uUlBR7wUNgRISGT54sb1/fTu7sWMjgwRodEaHTqamqLi7WhCZFdpIUOnKkpj//vMJGjbKfMxgMGvWzn2lgcrJ2P/ywSk+evBznP/6hSU884dKdlAAAABylaa2ALu2g1WNWq20XiA0bpJqa5s/5+UkxMVJsrDRkiBQUJHl7Sw0NtuaJ8+dt8+flSZd2jLT/V9QKAMCVqGVeIGTsEI198nb5BPu3eX14SaUmHM7rcMyvE4epOqB3eYXOVAf66uukOH0v9VT7F335pZSfLw0c6NRYgCsBzRAAAEnSwIEDFRsbq9zcXFWezJfVbJHB6NXtcWqLKpS9/DOV7D99+aRBCk8erqtmT1B40rAOx23ckcJqtqgk/YwubD6gkrTTkm1BSD3wwAPatm2b3njjDQ0ZMqTb8QEAPFdhYaEefPBB++P4+25uN4nREUuDWcWpJ1ud940IUvBo52532VLwmCHyjQhSXXHzbaU3bNigFStWyNubj2QAAMAzTZkyxX5ckpenqBEjejWe1WpVtcmkqpISVZlMqi4tVUNdnawWiwxeXvL29VVAaKgCw8JUmJPTZhwAgCuL1WrVokWLVFBQIMnWCDFi6lQZHfRZ2tvXVyOmTpUpNVWhTcaM/9d/VdJ//Ze8AwLavC9s1CjN/Otflb5smbL/9jdJUk1Rkaq/+05B5KwBAEAf1LRWQHl5ksUieXW/VkClpdL69dKRI5fPGQzS6NHStGm2/3Y0bmNThsUiHTsm7dlj+++l3SOpFQCAK0vLvEDI2CEa9/SPZPT3afee7+07KS9rx+PunO6aBRR3Tbum42YIi0X66CPpl790STxAf9aDd64AgP6qscDAXF2nkvQz3b6/7HCeMu5/t1kjRPSNYzTpjXs07jf/oojrR3S5wcJg9FLE9SM07jf/oklv3KPoG8fYn9u0aZMSEhK0e/fubscIAPBcK1eutK/oEH3jGEVOHtmjccqyctVQXtPqfOTUeBm8XLtakMHLoMgp8a3OFxUVadeuXS6NBQAAoDuSk5OVkJAgSaoqLlb1pfdp3WWur1fh6dM6vmOHTnzxhfIOHlTJuXOqKStTQ02NzHV1aqipUU1ZmUrOnVPewYOqLSuTJA0ZMkTXXOPanb0AAJ7j7bff1rZt2yRJ3v7+Gj55ssMaIRoZvb0VNmmSdpeX61xNjV48d05ZQ4e22wjRyDsgQP/0m9/on198UaHx8Rp2220KHDzYobEBAAC4kn0xgtpaWwNCd50+Lb3wQvNGiMRE6dFHpV/8Qho7tusNFl5etut/8Qvb/YmJ9qeoFQCAK0fTvIBvRJDGPnl7h40QknTDnhMdPl/v7aU91w93WIwd2f1PI1Tv3clr3/r1LokF6O9ohgAA2M2fP99+fGHzgW7dW5KRo6wnP1RDhW2bSp/wQI194jaNfmiW/AeH9Sou/8FhGv3QLI194jb5hAfa5isp0YwZM7R9+/ZejQ0A8Axms1mvv/667YFBips3tcdjFe5uO8ER6aIVHro677p161wcCQAAQNcZDAYtXbrU/jg/O7tb91utVhXl5OjI9u3KO3BANeXlLSeQj7+/fIOC5OPvb1spsoXz588rLi5Ob731lqzWTpbzAgD0K+Xl5Xr44Yftj4dOnChvX1+nzGX089OWIUP02KlT2l9eroceekjlLV+32nH1LbdozoYNmvaHP8jQk9WTAQAAPETTWgHt2dO9m48fl1aulKqrbY+Dg6UFC6Sf/1yKjOxdYJGRtnEWLLCNK2oFAOBK0DIvEP+rGfIJ9u/wnpCyaiUdONfhNfuvu1oVAzoex1EqBvgrbcLVHV/0+edScbFL4gH6M7JyAAC7WbNmKS4uTpJUknZaNRdNXbqv9FCejjz7sSx1DZKksMQ4Jb0yv8crercncvJIJb0yX2GJthirq6t1++23s+oDAPQDW7Zs0dmzZyVJ4cnDe9xIZzVbVLTvZKvzPqEBCr02pjch9ljouBh5h7ReUfLvf/+7zGazGyICAADomjvvvFNhYWGSJFNursouXuzSfXXV1Tq9b59yv/1W5vp6+/nAiAjFjB+va77/fY2fM0fXzpypsTffrGtnztT4OXN0zfe/r5jx4xUYEWG/x2QyadGiRZo9e7Zyc3Md+vMBADzXmjVrZDKZJElhsbEKGTTIqfOFDB6ssNhYSbbXnrVr1zp1PgAAAE/TtFZAx45JRUVdu/H0aemdd6TGz/+jRkkPPyyNG+fYAMeNs407apQkagUAoL9rmheIvmGMIiZ1vpvDP399St6WjhfV2TWtGwsoWq2a9vUpPfebv+vNf1+r537zd037+pTUjYV7dk2L7/iChgbp44+7HhOANtEMAQCwMxqNWrx4se2BVcpZu7fTe2qLKnTk2Q32RojIqfG69snbOu3G7SmfYH9d++Rtiphia7Sorq7WrbfeqvPnzztlPgCAa6xevdp+fNXsCT0ep+zIedWbqlqdj5gyUgZj9z/+WK1WmTLPKu+jdJkyz/ZoRWKD0UuRU1o3CH733Xfa093VlQAAAFwoODhYzz//vP3xucxMNdTVdXhPlcmkEzt3qjw/334uLDZWo268Udd873uKGjFCgeHh8jIam93nZTQqMDxcUSNG6JrvfU+jbrzRXpQqSVu3blVSUpIyMjIc9NMBADyV1WrVq6++an88ML6TwgEHaTrPq6++yq5EAADgitK8VsAqbdvW+U2lpdKqVZcbIRISpHvukQIDnRNkYKBt/EuNFtQKAED/1DIvEPPjSV2674bdJzp8vsHLoK+6uLBvaGm1/vDsx/rfZzZoSvoZjT6ZrynpZ/S/z2zQH579WKGl1V0a56spI2X2ar0rcjPr13dpLADtoxkCANDMvffea1/1sWDnURWltl5du5HValX28s/UUFErybYjxOhHZsnLx9upMXr5eGvMf8227xBRUlKiX/7yl3w5BQB92L59+yRJxgBfhScN6/E4hXvaTnBEdWeFh0vqS6t0+OkNynpivU6/tUtZT6zX4ac3qL60dbNFZ9qbfz2JDQAA4OEWLlyolJQUSVJDTY1Op6bK3NDQ5rVVJpNO7t5tb5jw9vfX8ClTFJecrIDQ0G7NGxAaqrjkZA2fPFne/rYFFwoKCnTTTTfREAEA/VxaWpqysrIk2XYV6u5rSE8FhIbadyc6ePCg0tPTXTIvAACAp2haK6CMDOnQofYvtlptxZvVl4pBR42S5s2TvJ1bKyBvb+nOO+07RFArAAD9T9O8QMjYIRowPLrTewKrajXp27MdXpOZEKvS0IBOx0o8cE6rHviL/vnrU20+/89fn9KqB/6ixAPnOh3LFBqobxNiO77o00+lsrJOxwLQPpohAADNREVF6aWXXrI/zn7lM9WX17R5bf7nh1Wy/7QkySc8UKMfme30RohGXj7eGv3IbPmE2VaV2LRpk/7yl7+4ZG4AgGPl5+crNzdXkhQ0cmCPdnCQJKvFqqK92a3OG4P8FDp+aLfGMmWeVfqv/mJ/nWtUsv+0Mh5YI1Nmx4mUlkInDJUxyK/V+Q8//JAEPQAA8GgGg0ErV65UdLTtC6eq4mKd2ru31Q4RddXVOr13ryyXGiUCIyI0+qabFDJoUK/mDxk8WKNvuslenFpaWqqZM2fa3z8CAPqfxgUTJCk8Jsalczedr2kcAAAAV4KWtQJav16qameBqLQ06cgR23FwsGsaIRp5e9vmGzBAErUCANDfNP08HnXD6C7dM+3r0/JtMHd4zc7pHS+gaGww6953d+ulJ9Ypuriyw2ujiyv10hPrtOgvu2XsbN7OFm6sq5M2ber4GgAdohkCANDK3XffrTlz5kiS6kuqdOy5zbLUN1/1sb60WqdW7rI/jr/vZvkE+7s0Tp9gf8Xfd7P98YMPPqjCwkKXxgAA6L20tDT78YD4gT0ep+LERdUVVrQ6Hzl5hLx8jF0aw9Jg1pl3vlTWk+tVX9J2gr+uuFJZT67XmdVfydJJYqORl49REf80otX5c+fO6ZtvvunSGAAAAO4SGxurbdu2KfTSytxVxcU6tmOHyr77TpJt58jcb7+1N0gERkRoxNSp8vb1dcj83r6+GjF1qr0hoqCgQPfeey9NpQDQT+3fv99+HBge7tK5AxpXQm4RBwAAwJWiaa2AysultWulljtEVlZKGzZcfvzjH0uBga4LUrLN9+Mf2x9SKwAA/UfTz+PB1wzu0j037DnR4fMWg/TF1Ph2n7/qYqmWP/aB7v7ga3l1Me3sZZXm/+1r/fn/faDB35W2e92XU0fKYuhksPXruzYpgDbRDAEAaMVgMGjFihUKv/RFkykjR0eXNW+IuPjpQZkrayVJ0TeOUeTkkW6JNXLKSEXfOMYWp8mkN9980y1xAAB67lCTbZYHjOh5M0Th7rYTHJGdrPDQqOaiSQce/Zty1++XOktwWKXcdd/owKN/U81FU5fGj2onjnXr1nXpfgAAAHdKTEzUjh077DtENNTU6PS+fcpJS9N3x46pPD9fkuTt76/hkyfL6ODVII3e3ho+ebK8/W0LMWzdulWrVq1y6BwAAM+QkZFhOzAY5B8S4tK5A0JDJYOtQiE9Pd2lcwMAAHiClrUCOn5cWrOmeUNEaqpUU2M7TkyUxo1zfaCSlJBgm1/UCgBAf9KYFzAYvRQ0LKrT6/1r6jUl7UyH1xwcO0TF4UFtPveDL4/p7QfXKOHYhW7HKknjj17Q2w+u1U1fHmvz+aKIAcoaM6TjQbZssTUbAugRmiEAAG2KiYnRxo0bFRAQIEkq3ndSh5/5WPXlNbKaLbq45YDtQoMUN2+qGyOVrv75VOlSB+3rr78us7lrq3QDADxDRcXl3Rx8QgJ6NIbValVhG6s9GAN8FD4xrtP7C3YdVcYDa1Vx/GK35q04flEZD6xVwa6jnV4bnhgnY4BPq/Pr169nVWMAANAnJCYmKj09XSkpKfZzptxcfXfs8pc8QydOdNiOEC15+/pq6HXX2R8/9NBDKi8vd8pcAAD3aVzR18fPT17Gru306CheRqN8/PwkSUVFRS6dGwAAwFO0rBXQoUPSqlVSVZVksUh799rOGwzSzJnuC1SSbrnF3sxKrQAA9A/2vEB4oLx8O190Z0raafnXNXR4za5prRcu9K+p16N/+lS/W7ZZA6rqehbsJcGVtXp62WY9+qft8q+p79L8zVRVSVu39ioG4EpGMwQAoF3Tp0/Xhg0b7EkOU0aO0u9brZz/26vaAluxQXjycPkPDnNjlFLAVWEKTxomScrJydFW3hwCQJ9SV3c5sWDw6VmRQ+WpAtV+V9bqfPj1IzpMkJir63T8pW069vwWmat7luAwV9fp2PNbdPzlTzscw8vXW+GThrc6f+rUKWVmZvZobgAAAFeLjY3V5s2b9dZbbyksLKzZc2GxsQoZNMip84cMHqyw2FhJtlUf165d69T5AACu15gnMLi4EaKRwcv29Wltba1b5gcAAPAELWsFdPy49Pzz0qefSiaT7dzo0VJkpNtilCRFRdniELUCANBfNOYFvLpYO3DDnuxOr9k1Nb7Z4/hT+Xrz39dq7vZD3Q+wA3O3Z+nNf1+r+FP5zeefFt/OHU2sX+/QWIArCc0QAIAOzZgxQ9u3b7dvg1lfUqXcv35tf/6q2RPcFVozV82+vDLkO++8475AAADd5ttk5WBrfc9W7ClqY1cISYrqIKlQkf2dMv59rfL/cbjdawzGyx+ZZs6cKR+f1js7NMr/7JC+/Y/3VJH9XbvXRLWz4sN6EhsAAKAPMRgMWrhwoXJycjRkyOXtvQfGd+ELHQdoOs+rr77KLlsA0M805gmsblrV12qxSJL8Lu0QAQAAcKVqWSug8nLpH/+4fMG0ae4JrKWpU+2H1AoAQN/XmBewdKF2wLeuQdO+OdXhNYdHDVb+wBDbA6tVP/44Qyseel9xeSW9jrUtcXklWvHQ+/rxxxnSpdz1dwNDdPiaThYS+uQTiYUZgB6hGQIA0Knp06fr4MGDmjNnTrPzxgBf+44M7haePEzGANub4dTUVDdHAwDojgEDBtiP68uqu32/1WpV4e7WzRBevt4KT269E4PVYlXeR+nKfOR91Zw3tTtuQEy4hv5siv3xzTffrH379mnUqFHt3lOdV6LMR95X3kfpbRblhScPk5dv6xUsaIYAAAB90fHjx3X+/HlJUmBEhAJCQ10yb0BoqAIjIiRJBw8eVHp6ukvmBQC4RlRUlCSpvrZWFhc3RFjMZtVfKjyIdPcqxwAAAB6gvVoB+fnZd2RwuzFjbPGIWgEA6A/seYGSKlnqGjq8dtK3OQqsru/wmsZdGcJKq/S/T2/Qv6/cKd+GbuQb/PykX/xCarLIY2d8G8z695U79T/PbFBYadWlONpeONGuvFzavr3rcQGwoxkCANAlMTEx2rhxo/70pz/ZzwWNHNhsxWx3Mhi9FDQiWpJ07tw5FRQUuDkiAEBXjRs3zn5c0WK7yK6oOluk6jZWbQhPHiajf/OdHOpMVTr89Ec6/dYuWRss7Y45aMY4TXzx52oor7GfS0hIUFJSktLS0nTPPfe0e6+1waLTb+3S4ac3qM5U1ew5Y4CvwtpoJDxy5IgOH25/hwoAAABPtG/fPvtxeEyMS+duOl/TOAAAfV9iYqLtwGpVTVmZS+euLi21r9qYlJTk0rkBAAA8VVu1AoqJkbw8o1ZAXl62eEStAAD0B415AavZosozhR1ee+Pu7E7H2zntGiVnntWqB9Zo2v7T3QtmzBgpNVV6803p669tj7th+jenteqBNUrKPNt5M4QksYgi0CMe8q4UANAXGAwGxcfH2x8PiB/oxmhaGxB/eTuxtLQ0N0YCAOiO5ORk+3FFdvebIYr2tJ3giGyRTCjJyFHGr/6ikrQz7Y5lDPTV6Edm65oHbpExwFcV2d+1inPAgAF6++239d577ykkJKTdsUr2n1bGA3+R6ducZuejpred5GB3CAAA0Nfs37/ffhwYHu7SuQPCwtqMAwDQ902aNMl+XFXSevEDZ6o2mdqMAwAA4ErXslZAsbHuC6YtTRZNoFYAAPq2pp/Hy09cbPc673qz/jn1ZIdjnbo6UnO3Z+mPT65XVHFlt+I4NG2atH+/dN11thPXXWd7vGhRt8aJKq7Ui0+u15zPsnR6aETHF2/YINV3vNMFgNZohgAAdMuhQ4fsxwNGeFgzxMjL8WRlZbkxEgBAdwwcOFCxl5LmlSfzZTW3v2NDWwr3nGh1zuBtVMQ/DZckWerNOv3Olzr01Ieqb7FTQ1PBo69S4st3Kvr7tm2drWaLKk/ZVg8aOnSooqOjm13/s5/9TBkZGZo8eXK7Y9aXVCnrqQ915p0vZbm01WbE9SNk8G79UYxmCAAA0NdkZGTYDgwG+XfQJOoMAaGhksEgSUpPT3fp3AAA55oyZYr9uCQvz6VzN52vaRwAAABoXiugIUPcF0hbmjRDUCsAAH1b08/jhbuOtXtd0sFzCq6s7XCsYeeKdNcH38jL2vX5TZJ+IqnmT3+SgoKaPxkUJK1cKf31r1JoaJfH9LJKd33wjeJyizu+sKRE2rGj68ECkEQzBACgmyoqKuzHPiEBboykNe9gf/txZWX3unkBAO7VmNAwV9epJP1Ml++rPm9SVRtbY4ZNvFregX6qvmDSgUf/qrz1HawWbJBif/JPGv8/P5H/4MsJi5K0MzJX10lSuw0PI0aM0Jdffqn/9//+nwyXivFasUq56/frwKN/U/UFk7yD/BQ2Ma7VZZmZmTp5suOVKwAAADxJYaHtfZiPn5+8jEaXzu1lNMrHz0+SVFRU5NK5AQDOlZycrISEBElSVXGxqktLXTJvdWmpqoptRQnjx49XUlKSS+YFAADoK5rWCrQqDnW3JvFQKwAAfVvTvEDZkfOqOF3Q5nU3tLFoYkvdaYKQpN2SrpN0rLO8wL/+q/Ttt9LUqd0av0vxsIgi0G00QwAAuqWurs5+bPBxbaFDZ7yaxFNb23HnLwDAs8yfP99+fGHzgS7fV9ROgiNq+jXK33lE3z64VhUnvmv3ft+IICU882MNu3u6vLybv65d2JxpP16wYEG7Y/j4+Oj3v/+9tm/frquuuqrd6yqOX9S3D65V/s6jipwW3+Y17A4BAAD6ksYcgcHFjRCNDF629DY5AADoXwwGg5YuXWp/nJ+d7ZJ5m86zdOnS9hc9AAAAuEI1rRWQt7f7AmlLk3jIEwBA39YyL9DWwodeZou+t89xCw1aDNILV0fqBkln1cW8wLBh0hdfSE88Yd/F2CE++kgymx03HnAFoBkCANAtvr6+9mNrvWe98bI0icfv0uqQAIC+YdasWYqLs+2WUJJ2WjUXTV26r3B3280QhXtO6PgLW+07O7Ql/PrhSvzTXQq77upWz1VfMNl3qIiLi1NKSkqnsfzwhz9UZmam5syZ0+415uo6HX9hi4r2tl3IsW7duk7nAQAA8BSNOQKrm76YsVosksgBAEB/dOeddyosLEySZMrNVdnFi06dr+ziRZlycyVJYWFhmjdvnlPnAwAA6Iua1gqoocF9gbSlSTzkCQCg72uaFyjYdVTF35xq9vyEw3kKL612yFz5kQO08K7pevhskczqZl7A21t65hnp88+lIUMcEo/y86WvvnLMWMAVgmYIAEC3DBgwwH5cX+aYN5WO0lBeYz8O8rRtOQEAHTIajVq8eLHtgVXKWbu303tq8stUkd32rg8l35xu9z6Dt1Ejfnmjrn3ydvmEBrR5zdn39kqXtqhcsmSJjF1c7Tg6OlobN27Uyy+/3PxLgS7G98033+js2bNdmgsAAMDdoqKiJEn1tbWyuLghwmI2q/7SSo+RkZEunRsA4HzBwcF6/vnn7Y/PZWaqoa79BQ96o6GuTucyL+8O+cILLyg4ONgpcwEAAPRlTWsFVFnpvkDa0iQeagUAoO9rmRfIXv6Z6pvUhd3YzqKJ3fXl5JG68/c/0f998q39XI/yAjfeKGVmSrfd5pC4xCKKQLfQDAEA6JZx48bZjytO5bsxktYqTl6OJyEhwY2RAAB64t577728usPOoypK7Xhby6I9be+u0JGA2Ahd98efacitie1ua1m076QKdh6VZFv1YdGiRd2aw2Aw6IEHHlBqaqpGjx7d7Rg//PDDbt8DAADgDomJibYDq1U1ZWUunbu6tFSy2rpXk5KSXDo3AMA1Fi5caN+psaGmRqdTU2V28ArE5oYGnU5NVUONraBi1qxZuueeexw6BwAAQH/RtFZA58+7L5C25OXZD6kVAID+oWleoK64Ukee2SBzTb0MFqtu2Nv9WoGman2MemHJD/ToQyna99JW1RXbmup6lReIipI++khavlzq7S5FH34oXdoZGUDnaIYAAHRLcnKy/bgi28OaIZqsDt40TgBA3xAVFaWXXnrJ/jj7learO7RUtKd7qz0MuiVBE1/8uQYMj273mvryGmW/8pn98csvv2xf8bi7Jk6cqLS0NP3iF7/o1n3r16/v0XwAAACuNmnSJPtxVUmJS+euNpnajAMA0H8YDAatXLlS0dG2z/FVxcU6tXevw3aIaKir06m9e1VVXCzJttvjG2+80e7iCQAAAFe6Zt/B5+a6L5C2NGmGoFYAAPqHlnmBsiPndeipDzU6I0dRxT3foej00Aj98o8/1wffH62s33yo8iMXJDkoL2AwSPfdJ339tTR2bM/HOX9eSk3t+f3AFYZmCABAtwwcOFCxsbGSpMqT+bKaPaML1Wq2qPJUgSRp6NCh9jfCAIC+5e6779acOXMkSfUlVTr23GZZ6luv+lhbVKGyo11bdcgY5KfR/zVb1/xqhoz+Pu1eZ6lv0LFlm1RvqpIkzZ07V3fddVcPforLgoKC9Oabb+r9999XSEhIl+7ZvXu3Lly40Kt5AQAAXGHKlCn245ImRQeu0HS+pnEAAPqX2NhYbdu2TaGhoZJsDRHHduxQ2XffdXJnx8ouXtSxHTvsjRChoaHatm2bPfcNAACA1prWCigvz3NWrLZY7M0Q1AoAQP/SMi9QduS8xv3Pxh6P91HKeN37x59rf0GZMu5/194I4fC8wIQJ0v790i9/2fMxWEQR6DKaIQAA3dZYZGCurlNJ+hn3BnNJSdoZmattK4JNnjzZzdEAAHrKYDBoxYoVCg8PlySZMnJ0dFnrhoiifdmStfPxgsdcpcSX5yn6e6M7vM5S36CjyzbL9O1ZSVJ4eLhWrFjhsNUgf/rTnyozM7NLhXpWq1V///vfHTIvAACAMyUnJyshIUGSrTi1urTUJfNWl5bai1fHjx+vpKQkl8wLAHCPxMRE7dixw17U1lBTo9P79iknLa3brz3VpaXKSUvT6dRUNdTYdqOMjo7Wzp07lZiY6PDYAQAA+hv79xy1tdKxY+4NptHRo7Z4RK0AAPRHLfMC/1LTejHFzpQH+emJx+bqd7Mm6MDyz3T46Q2qu7S7hNPyAoGB0ooV0gcfSGFh3b9//XrJ2oWiCAA0QwAAum/+/Pn24wubD7gxkssubM60Hy9YsMB9gQAAei0mJkYbN25UQECAJKl430kdfuZj1ZfX2K8p2pPd8SAGaehPJ2vC//yr/AeFdnhpfXmNDj+9QcX7TkqSAgMDtXHjRg0ZMqR3P0gLw4YN0xdffKFf//rXnTZZrGeVBwAA0AcYDAYtXbrU/jg/u5P3aA7SdJ6lS5c6rIEVAOC5EhMTlZ6erpSUFPs5U26uju/cqRNffqnCU6dUWVwsi9nc7D6L2azK4mIVnjqlE198oeM7d8qUm2t/PiUlRenp6Zo4caKrfhQAAIA+rWmtgPbscV8gTe3daz+kVgAA+qfGvMB906ZpWDfvTR8epVn/kqQ/fZSmbx9cq4JdR+3PuSQvcMcd0rffStOnd+++M2ds9wHolMFqpXUIANA9ZrNZI0eOVE5OjmSQJr1xj/wHh7ktnuoLJqUtXiVZpbi4OJ08eVJGo9Ft8QAAHGP79u26/fbbVV1dLUnyCQ9U/H03K+KfRmjPj/4ka0Pb2y/7RgRp1EOzFDZhaKdzFO07qexXPlO9qUqSrRFiw4YNuvnmmx33g7Rhx44duvPOO3X+/Pk2n/f19VVNTQ2FfQAAwOOVl5fr6quvlslkkiQNnzxZIYMHO22+sosXdTo1VZIUFhams2fPKjg42GnzAQA8i9Vq1apVq/TQQw/ZX3uaMRjk4+cng5eXrBaL6mtr21xFMSwsTC+88ILuuecePnsDAAB0Q/NaAYP06KNSZKT7AioslJYtk6xWagUA4Apg/ctfZLj77i5da5b0jKRnLx035Za8QEOD9Mwz0rPPSpa2ax1aWbNGmjfPuXEB/QA7QwAAus1oNGrx4sW2B1YpZ+3ejm9wsrPv7ZUufZ+1ZMkSkhsA0E/MmDFD27dvV3h4uCSpvqRKR579WMee39LuPRGTRyjxT3d12ghRfcGkYy9s0ZH//tjeCBEeHq5PP/3U6Y0QknTTTTcpMzNTt956a7vXNDR0f3tPAAAAVwsODtbzzz9vf3wuM1MNdXVOmauhrk7nMi/vDPnCCy/QCAEAVxiDwaCFCxfq7Nmzeu2115SQkND8AqtV9TU1qquqUn1NTatGiPHjx+u1117T2bNntXDhQhohAAAAuql5rYBV2rbNvQF9+qn9PR+1AgDQ/xkqK7t03TlJN0n6nZo3Qrg1L+DtLf3ud9Lnn0uxsV27p6LCuTEB/QQ7QwAAeqSwsFDXXHONffWtsU/cpsjJI10eR9G+kzry3x9LsnXtnjhxQlFRUS6PAwDgPHl5eVq8eLE2bdrU7jUGH6OG/+L7umr2de0mLKxmi0rSzujC5kyVpJ+xN9JJ0pw5c/TGG29oyJAhDo6+Y1arVa+88ooefvhh1dbW2s8vXbpUr7zyiktjAQAA6Cmr1arZs2dr69atkqTAiAiNmDpVRm9vh81hbmjQqb17VVVcLEmaNWuWNm3aRBErAFzhrFar0tPTtW/fPu3fv1/p6ekqKipSbW2t/Pz8FBkZqaSkJE2aNElTpkxRUlISrx0AAAC91LJWQAsWSOPGuT6QrCxp9WpJ1AoAwBXj9GlpxIgOL9ni768HAgNVHRDguXmBoiJp0SLpo486vu7UKWn4cJeEBPRlNEMAAHps9erVWrBggSTJJzxQSa/Ml0+wv8vmry+vUfrS1fYVvVevXq27u7gVGgCgb7FarXr33Xf14IMPqrS0tNlzBqOXAodFKTQhVgNGDpR3sL+8fIyy1JvVUF6jipP5qsj+TpWnCmSubr5KcVhYmF5++WXdddddbk16HD58WC+++KLOnTunm266SQ899JC8HVg8CAAA4Gy5ublKSkpSQUGBJFtDxPDJk+Xt69vrsRvq6nQ6NdXeCBEdHa309HTFdnX1LAAAAAAA4FBNawUUHCw9/LAUGOi6AKqqpOees6+YTa0AAFxB7r9famthQX9/6cUXpcWLJU9oeOiM1Sq9/rr0n/8p1dS0fv6++6Tly10fF9AH0QwBAOgxq9WqW2+91b5Sd1hinK598jZ5+Ti/eNNS36DDT2+Q6duzkqS5c+fq448/9ozuXQCA0xQWFurNN9/U66+/rpycnB6PExcXpyVLlmjRokWsEgQAAOAgGRkZuummm+zNq97+/ho6caJCBg3q8ZhlFy/qXGamGi59GRQaGqodO3YoMTHRITEDAAAAAIDua1kroFGjpHvukVyx0FNDg/T229KJE5KoFQCAK47ZLD39tPTnP0slJbbGh9tvl555RkpIcHd03ZeVJT35pLRhg61BIjxc+tWvpKeekoxGd0cH9Ak0QwAAeiUvL0/jx49XSUmJJCliykiN+a/ZTm2IsNQ36OiyzSred1KSFB4erqysLA0ZMsRpcwIAPIvZbNaWLVu0evVqpaam6ty5c53eM3ToUE2ePFkLFixQSkqKjCQOAAAAHC4jI0MzZ8607xAhSWGxsRoYH6+A0NAuj1NdWqr87GyZcnPt56Kjo/Xpp59q4sSJjgwZAAAAAAD0QMtaAY0bJ915p3MbIhoapDVrpEOHJFErAABXtOpqqahICgiQIiPdHU3vFRXZfqbISNvPBKDLaIYAAPTa7t27NWPGDFVXV0uy7RAx+pHZ8gn2d/hc9eU1OrZsk31HiMDAQH366aeaPn26w+cCAPQd+fn5Sk9PV1ZWliorK1VbWys/Pz8FBQUpISFBycnJio6OdneYAAAAV4Tc3Fzde++92rp1a7PzgRERCo+JUUBYmAJCQ+XVpDnVYjarurRU1SaTSnJzVdVYSHFJSkqKVq5cqdjYWJf8DAAAAAAAoHMtawU0apQ0b54UGOj4yaqqbI0Ql3aEoFYAAAAAEs0QAAAH2b59u26//XZ7ksMnPFDx992syMkjHTZH0b6Tyn7lM9WbqiTZkhsbNmzQzTff7LA5AAAAAABA71mtVq1atUoPPfSQTCZT6wsMBvn4+cng5SWrxaL62lrbFuAthIWF6YUXXtA999wjg8Hg/MABAAAAAEC3tKwVUHCw9OMf23aKcJSsLGn9eqmiQhK1AgAAALiMZggAgMPs3r1bt9566+VtMCVF3zhGcfOmyn9wWI/Hrb5g0tn39qpg51H7ufDwcG3cuJFVHgAAAAAA8GDl5eVau3atXnnlFWVlZXX5vvHjx2vp0qWaN2+egoODnRghAAAAAADorbZqBZSYKM2cKUVG9nzgwkLp00+ljAz7KWoFAAAA0BTNEAAAh8rLy9PixYu1adOmyycNUnjSMF01+zqFJw+TwejV6ThWs0UlaWd0YXOmStLPSE1erebMmaM33nhDQ4YMcfwPAAAAAAAAHM5qtSo9PV379u3T/v37lZ6erqKiItXW1srPz0+RkZFKSkrSpEmTNGXKFCUlJbETBAAAAAAAfUjbtQIGafRoaepUacwYyavzWgFZLNLRo9LevdKxY812kqRWAAAAAC3RDAEAcDir1ap3331XDz74oEpLS5s9ZwzwVdCIaA2IH6QBIwfKO9hfXj5GWerNaiivUcXJfFVkf6fKUwUyV9c1uzcsLEwvv/yy7rrrLgoiAAAAAAAAAAAAAADwIB3VCsjPT4qJufy/oCDJ21tqaJAqK6W8vMv/q61tdiu1AgAAAGgPzRAAAKcpLCzUm2++qddff105OTk9HicuLk5LlizRokWLFBUV5cAIAQAAAAAAAAAAAACAI1ErAAAAAFehGQIA4HRms1lbtmzR6tWrlZqaqnPnznV6z9ChQzV58mQtWLBAKSkpMhqNLogUAAAAAAAAAAAAAAA4ArUCAAAAcDaaIQAALpefn6/09HRlZWWpsrJStbW18vPzU1BQkBISEpScnKzo6Gh3hwkAAAAAAAAAAAAAAByEWgEAAAA4Gs0QAAAAAAAAAAAAAAAAAAAAAACgT/FydwAAAAAAAAAAAAAAAAAAAAAAAADdQTMEAAAAAAAAAAAAAAAAAAAAAADoU2iGAAAAAAAAAAAAAAAAAAAAAAAAfQrNEAAAAAAAAAAAAAAAAAAAAAAAoE+hGQIAAAAAAAAAAAAAAAAAAAAAAPQpNEMAAAAAAAAAAAAAAAAAAAAAAIA+hWYIAAAAAAAAAAAAAAAAAAAAAADQp9AMAQAAAAAAAAAAAAAAAAAAAAAA+hSaIQAAAAAAAAAAAAAAAAAAAAAAQJ9CMwQAAAAAAAAAAAAAAAAAAAAAAOhTaIYAAAAAAAAAAAAAAAAAAAAAAAB9Cs0QAAAAAAAAAAAAAAAAAAAAAACgT6EZAgAAAAAAAAAAAAAAAAAAAAAA9Ck0QwAAAAAAAAAAAAAAAAAAAAAAgD6FZggAAAAAAAAAAAAAAAAAAAAAANCn0AwBAAAAAAAAAAAAAAAAAAAAAAD6FJohAAAAAAAAAAAAAAAAAAAAAABAn0IzBAAAAAAAAAAAAAAAAAAAAAAA6FNohgAAAAAAAAAAAAAAAAAAAAAAAH0KzRAAAAAAAAAAAAAAAAAAAAAAAKBPoRkCAAAAAAAAAAAAAAAAAAA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"text/plain": [ - "
" + "
" ] }, "metadata": { "image/png": { - "height": 619, - "width": 1182 + "height": 556, + "width": 1569 } }, "output_type": "display_data" } ], "source": [ - "fig, axarr = plt.subplots(1, 2, figsize=(15, 7.5))\n", + "fig, axarr = plt.subplots(1, 3, figsize=(20, 10))\n", "fig.subplots_adjust(wspace=-0.01)\n", - "for i, m in enumerate([pcenter_from_cm, pcenter_from_gdf]):\n", - " plot_results(m, P_FACILITIES, ax=axarr[i])" + "for i, m in enumerate([pcenter_from_cm, pcenter_from_gdf, pcenter_from_gdf_pre]):\n", + " plot_results(m, P_FACILITIES, facility_points, clis=client_points, ax=axarr[i])" ] }, { diff --git a/notebooks/p-dispersion.ipynb b/notebooks/p-dispersion.ipynb index 70cf335f..4679cdb2 100644 --- a/notebooks/p-dispersion.ipynb +++ b/notebooks/p-dispersion.ipynb @@ -1,5 +1,13 @@ { "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "818293d7", + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "id": "4ed711c8", @@ -44,7 +52,7 @@ " 0 \\quad \\text{if otherwise} \\\\\n", " \\end{cases} \\end{array}\n", "\n", - "_The above fomulation was quoted from Maliszewski et al (2012), the original formulation is from Kuby (1987)._ \n", + "_The above fomulation was adapted from Maliszewski et al (2012), the original formulation is from Kuby (1987)._ \n", "\n", "This tutorial generates synthetic facility sites near a 10x10 lattice representing a gridded urban core. Three $p$-Dispersion instances are solved while varying parameters:\n", "* `PDispersion.from_cost_matrix()` with network distance as the metric\n", @@ -60,8 +68,8 @@ "id": "67638055", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:00.726939Z", - "start_time": "2022-10-29T17:29:00.685202Z" + "end_time": "2022-10-31T15:33:55.199955Z", + "start_time": "2022-10-31T15:33:55.150180Z" } }, "outputs": [ @@ -69,7 +77,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Last updated: 2022-10-29T13:29:00.715108-04:00\n", + "Last updated: 2022-10-31T11:33:55.185324-04:00\n", "\n", "Python implementation: CPython\n", "Python version : 3.10.6\n", @@ -98,8 +106,8 @@ "id": "dfd6bccc", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:03.055782Z", - "start_time": "2022-10-29T17:29:00.730446Z" + "end_time": "2022-10-31T15:33:58.177391Z", + "start_time": "2022-10-31T15:33:55.206410Z" } }, "outputs": [ @@ -109,14 +117,14 @@ "text": [ "Watermark: 2.3.1\n", "\n", + "numpy : 1.23.3\n", "geopandas : 0.11.1\n", - "pulp : 2.6.0\n", - "spopt : 0.4.1+200.g336f235.dirty\n", - "spaghetti : 1.6.7\n", + "shapely : 1.8.5\n", "matplotlib: 3.6.1\n", - "numpy : 1.23.3\n", "json : 2.0.9\n", - "shapely : 1.8.5\n", + "spopt : 0.4.1+200.g336f235.dirty\n", + "spaghetti : 1.6.7\n", + "pulp : 2.6.0\n", "\n" ] } @@ -155,8 +163,8 @@ "id": "6725bc44", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:03.067002Z", - "start_time": "2022-10-29T17:29:03.061998Z" + "end_time": "2022-10-31T15:33:58.191378Z", + "start_time": "2022-10-31T15:33:58.185138Z" } }, "outputs": [], @@ -190,8 +198,8 @@ "id": "4371f5e5", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:03.114204Z", - "start_time": "2022-10-29T17:29:03.070931Z" + "end_time": "2022-10-31T15:33:58.258819Z", + "start_time": "2022-10-31T15:33:58.197179Z" } }, "outputs": [], @@ -214,8 +222,8 @@ "id": "d767d1ad", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:03.277558Z", - "start_time": "2022-10-29T17:29:03.117185Z" + "end_time": "2022-10-31T15:33:58.434581Z", + "start_time": "2022-10-31T15:33:58.263859Z" } }, "outputs": [], @@ -229,8 +237,8 @@ "id": "1f639684", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:03.315516Z", - "start_time": "2022-10-29T17:29:03.279383Z" + "end_time": "2022-10-31T15:33:58.471142Z", + "start_time": "2022-10-31T15:33:58.437180Z" } }, "outputs": [], @@ -256,8 +264,8 @@ "id": "d4b67cb3", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:03.506168Z", - "start_time": "2022-10-29T17:29:03.318523Z" + "end_time": "2022-10-31T15:33:58.680904Z", + "start_time": "2022-10-31T15:33:58.478049Z" } }, "outputs": [ @@ -297,8 +305,8 @@ "id": "d5aad045", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:03.517091Z", - "start_time": "2022-10-29T17:29:03.508863Z" + "end_time": "2022-10-31T15:33:58.694436Z", + "start_time": "2022-10-31T15:33:58.684661Z" } }, "outputs": [], @@ -322,8 +330,8 @@ "id": "91d8cddf", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:03.958674Z", - "start_time": "2022-10-29T17:29:03.519500Z" + "end_time": "2022-10-31T15:33:59.216523Z", + "start_time": "2022-10-31T15:33:58.698060Z" } }, "outputs": [ @@ -370,8 +378,8 @@ "id": "1d447220", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:03.995409Z", - "start_time": "2022-10-29T17:29:03.961683Z" + "end_time": "2022-10-31T15:33:59.249209Z", + "start_time": "2022-10-31T15:33:59.219475Z" } }, "outputs": [], @@ -395,8 +403,8 @@ "id": "81fe5065", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:04.289194Z", - "start_time": "2022-10-29T17:29:03.999137Z" + "end_time": "2022-10-31T15:33:59.573104Z", + "start_time": "2022-10-31T15:33:59.251568Z" } }, "outputs": [ @@ -440,8 +448,8 @@ "id": "4fbb1d6d", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:04.358568Z", - "start_time": "2022-10-29T17:29:04.297647Z" + "end_time": "2022-10-31T15:33:59.654216Z", + "start_time": "2022-10-31T15:33:59.576662Z" } }, "outputs": [ @@ -477,8 +485,8 @@ "id": "98bf0abb", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:04.368053Z", - "start_time": "2022-10-29T17:29:04.362025Z" + "end_time": "2022-10-31T15:33:59.664245Z", + "start_time": "2022-10-31T15:33:59.657725Z" } }, "outputs": [ @@ -507,8 +515,8 @@ "id": "41681306", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:04.377354Z", - "start_time": "2022-10-29T17:29:04.371495Z" + "end_time": "2022-10-31T15:33:59.674090Z", + "start_time": "2022-10-31T15:33:59.667247Z" } }, "outputs": [ @@ -546,15 +554,15 @@ "id": "43393fcb", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:04.489144Z", - "start_time": "2022-10-29T17:29:04.380220Z" + "end_time": "2022-10-31T15:33:59.790075Z", + "start_time": "2022-10-31T15:33:59.677535Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 15, @@ -576,8 +584,8 @@ "id": "f0c9b8e8", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:04.497610Z", - "start_time": "2022-10-29T17:29:04.492126Z" + "end_time": "2022-10-31T15:33:59.799128Z", + "start_time": "2022-10-31T15:33:59.793908Z" } }, "outputs": [ @@ -612,8 +620,8 @@ "id": "0883d494", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:04.517072Z", - "start_time": "2022-10-29T17:29:04.500113Z" + "end_time": "2022-10-31T15:33:59.819347Z", + "start_time": "2022-10-31T15:33:59.801956Z" } }, "outputs": [ @@ -754,9 +762,7 @@ ], "source": [ "facility_points[\"dv\"] = pdispersion_from_cm.fac_vars\n", - "facility_points[\"dv\"] = facility_points[\"dv\"].map(\n", - " lambda x: x.name.replace(\"_\", \"\").replace(\"x\", \"y\")\n", - ")\n", + "facility_points[\"dv\"] = facility_points[\"dv\"].map(lambda x: x.name.replace(\"_\", \"\"))\n", "facilities_snapped[\"dv\"] = facility_points[\"dv\"]\n", "facility_points" ] @@ -785,15 +791,15 @@ "id": "3ae768c1", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:04.625433Z", - "start_time": "2022-10-29T17:29:04.520592Z" + "end_time": "2022-10-31T15:33:59.918045Z", + "start_time": "2022-10-31T15:33:59.821520Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 18, @@ -820,8 +826,8 @@ "id": "0aa3cec1", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:04.633205Z", - "start_time": "2022-10-29T17:29:04.629252Z" + "end_time": "2022-10-31T15:33:59.924871Z", + "start_time": "2022-10-31T15:33:59.920889Z" } }, "outputs": [ @@ -856,8 +862,8 @@ "id": "7ca5aa68", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:04.652163Z", - "start_time": "2022-10-29T17:29:04.636671Z" + "end_time": "2022-10-31T15:33:59.942639Z", + "start_time": "2022-10-31T15:33:59.927616Z" } }, "outputs": [ @@ -1026,15 +1032,15 @@ "id": "a8a4e8cf", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:04.712865Z", - "start_time": "2022-10-29T17:29:04.655300Z" + "end_time": "2022-10-31T15:33:59.997353Z", + "start_time": "2022-10-31T15:33:59.944678Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 21, @@ -1061,8 +1067,8 @@ "id": "3f0db1d5", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:04.721077Z", - "start_time": "2022-10-29T17:29:04.716798Z" + "end_time": "2022-10-31T15:34:00.009178Z", + "start_time": "2022-10-31T15:34:00.005457Z" } }, "outputs": [ @@ -1099,8 +1105,8 @@ "id": "250da306", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:04.730610Z", - "start_time": "2022-10-29T17:29:04.723830Z" + "end_time": "2022-10-31T15:34:00.018200Z", + "start_time": "2022-10-31T15:34:00.012198Z" } }, "outputs": [ @@ -1159,8 +1165,8 @@ "id": "99b1906a", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:04.749705Z", - "start_time": "2022-10-29T17:29:04.733241Z" + "end_time": "2022-10-31T15:34:00.034478Z", + "start_time": "2022-10-31T15:34:00.020662Z" } }, "outputs": [], @@ -1270,8 +1276,8 @@ "id": "05504b98", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:05.220549Z", - "start_time": "2022-10-29T17:29:04.752401Z" + "end_time": "2022-10-31T15:34:00.473952Z", + "start_time": "2022-10-31T15:34:00.036932Z" } }, "outputs": [ @@ -1309,8 +1315,8 @@ "id": "39baa5ed", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:05.833669Z", - "start_time": "2022-10-29T17:29:05.224641Z" + "end_time": "2022-10-31T15:34:01.057816Z", + "start_time": "2022-10-31T15:34:00.476610Z" } }, "outputs": [ @@ -1348,8 +1354,8 @@ "id": "1a5e68dd", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:06.295857Z", - "start_time": "2022-10-29T17:29:05.836805Z" + "end_time": "2022-10-31T15:34:01.559420Z", + "start_time": "2022-10-31T15:34:01.060756Z" } }, "outputs": [ @@ -1389,8 +1395,8 @@ "id": "47c49823", "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:29:07.313323Z", - "start_time": "2022-10-29T17:29:06.299860Z" + "end_time": "2022-10-31T15:34:02.642572Z", + "start_time": "2022-10-31T15:34:01.562039Z" } }, "outputs": [ diff --git a/notebooks/p-median.ipynb b/notebooks/p-median.ipynb index 20a166ab..629d47b5 100644 --- a/notebooks/p-median.ipynb +++ b/notebooks/p-median.ipynb @@ -16,35 +16,35 @@ "\n", "**P-Median can be written as:**\n", "\n", - "$\\begin{array} \\displaystyle \\textbf{Minimize} & \\sum_{i}\\sum_{j}{a_i d_{ij} z_{ij}} &&& (1) \\\\\n", - "\\displaystyle \\textbf{Subject to:} & \\sum_{j}{z_{ij} = 1} & \\forall i && (2) \\\\\n", - " & \\sum_{j}{z_{jj} = p} &&& (3) \\\\\n", - " & z_{ij} \\leq z_{jj} & \\forall i,j & i\\neq{j} & (4) \\\\\n", - " & z_{ij} \\in \\{0,1\\} & \\forall i,j && (5) \\\\ \\end{array}$\n", + "$\\begin{array} \\displaystyle \\textbf{Minimize} & \\sum_{i}\\sum_{j}{a_i d_{ij} X_{ij}} &&& (1) \\\\\n", + "\\displaystyle \\textbf{Subject to:} & \\sum_{j}{X_{ij} = 1} & \\forall i && (2) \\\\\n", + " & \\sum_{j}{Y_{j} = p} &&& (3) \\\\\n", + " & X_{ij} \\leq Y_{j} & \\forall i,j & i\\neq{j} & (4) \\\\\n", + " & X_{ij} \\in \\{0,1\\} & \\forall i,j && (5) \\\\\n", + " & Y_{j} \\in \\{0,1\\} & \\forall j && (6) \\\\ \\end{array}$\n", "\n", "$\\begin{array} \\displaystyle \\textbf{Where:}\\\\ & & \\displaystyle i & \\small = & \\textrm{index referencing nodes of the network as demand} \\\\\n", "& & j & \\small = & \\textrm{index referencing nodes of the network as potential facility sites} \\\\\n", "& & d_{ij} & \\small = & \\textrm{shortest distance or travel time between nodes } i \\textrm{ and } j \\\\\n", "& & p & \\small = & \\textrm{number of facilities to be located} \\\\\n", "& & a_i & \\small = & \\textrm{service load or population demand at } i \\\\\n", - "& & z_{ij} & \\small = & \\begin{cases}\n", + "& & X_{ij} & \\small = & \\begin{cases}\n", " 1, \\textrm{if demand } i \\textrm{ is assigned to facility } j \\\\\n", " 0, \\textrm{otherwise}\n", " \\end{cases} \\\\\n", - "& & z_{jj} & \\small = & \\begin{cases}\n", - " 1, \\textrm{if node } j \\textrm{ has been selected for a facility and assigns to itself} \\\\\n", + "& & Y_{j} & \\small = & \\begin{cases}\n", + " 1, \\textrm{if node } j \\textrm{ has been selected for a facility} \\\\\n", " 0, \\textrm{otherwise} \\\\\n", " \\end{cases} \\\\ \n", "\\end{array}$\n", "\n", - "_This excerpt above was quoted from Church and Murray (2018)_\n", + "_The formulation above is adapted from Church and Murray (2018)_\n", "\n", "This tutorial generates synthetic demand (clients) and facility sites near a 10x10 lattice representing a gridded urban core.\n", "\n", "* `PMedian.from_cost_matrix()` with network distance as the metric\n", "* `PMedian.from_geodataframe()` with euclidean distance as the metric\n", - "* ~~`PMedian.from_geodataframe()` with predefined facility locations and euclidean distance as the metric~~\n", - " * *coming soon*" + "* `PMedian.from_geodataframe()` with predefined facility locations and euclidean distance as the metric" ] }, { @@ -52,8 +52,8 @@ "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:06.776350Z", - "start_time": "2022-10-29T17:21:06.736649Z" + "end_time": "2022-10-31T18:35:57.340327Z", + "start_time": "2022-10-31T18:35:57.302227Z" } }, "outputs": [ @@ -61,7 +61,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Last updated: 2022-10-29T13:21:06.764707-04:00\n", + "Last updated: 2022-10-31T14:35:57.328108-04:00\n", "\n", "Python implementation: CPython\n", "Python version : 3.10.6\n", @@ -89,8 +89,8 @@ "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:08.925035Z", - "start_time": "2022-10-29T17:21:06.779806Z" + "end_time": "2022-10-31T18:35:59.665604Z", + "start_time": "2022-10-31T18:35:57.343741Z" } }, "outputs": [ @@ -100,14 +100,14 @@ "text": [ "Watermark: 2.3.1\n", "\n", + "json : 2.0.9\n", "pulp : 2.6.0\n", - "spopt : 0.4.1+200.g336f235.dirty\n", + "numpy : 1.23.3\n", "shapely : 1.8.5\n", - "geopandas : 0.11.1\n", - "json : 2.0.9\n", + "spopt : 0.4.1+200.g336f235.dirty\n", "spaghetti : 1.6.7\n", + "geopandas : 0.11.1\n", "matplotlib: 3.6.1\n", - "numpy : 1.23.3\n", "\n" ] } @@ -144,8 +144,8 @@ "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:08.932835Z", - "start_time": "2022-10-29T17:21:08.929462Z" + "end_time": "2022-10-31T18:35:59.673402Z", + "start_time": "2022-10-31T18:35:59.670124Z" } }, "outputs": [], @@ -181,8 +181,8 @@ "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:08.970138Z", - "start_time": "2022-10-29T17:21:08.934692Z" + "end_time": "2022-10-31T18:35:59.717228Z", + "start_time": "2022-10-31T18:35:59.676385Z" } }, "outputs": [], @@ -203,8 +203,8 @@ "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:09.085935Z", - "start_time": "2022-10-29T17:21:08.973376Z" + "end_time": "2022-10-31T18:35:59.857459Z", + "start_time": "2022-10-31T18:35:59.719088Z" } }, "outputs": [], @@ -217,8 +217,8 @@ "execution_count": 6, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:09.118550Z", - "start_time": "2022-10-29T17:21:09.088862Z" + "end_time": "2022-10-31T18:35:59.891038Z", + "start_time": "2022-10-31T18:35:59.860492Z" } }, "outputs": [], @@ -242,8 +242,8 @@ "execution_count": 7, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:09.286262Z", - "start_time": "2022-10-29T17:21:09.121998Z" + "end_time": "2022-10-31T18:36:00.076646Z", + "start_time": "2022-10-31T18:35:59.893993Z" } }, "outputs": [ @@ -281,8 +281,8 @@ "execution_count": 8, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:09.304688Z", - "start_time": "2022-10-29T17:21:09.289223Z" + "end_time": "2022-10-31T18:36:00.097030Z", + "start_time": "2022-10-31T18:36:00.079874Z" } }, "outputs": [], @@ -307,8 +307,8 @@ "execution_count": 9, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:09.801496Z", - "start_time": "2022-10-29T17:21:09.307181Z" + "end_time": "2022-10-31T18:36:00.595575Z", + "start_time": "2022-10-31T18:36:00.100488Z" } }, "outputs": [ @@ -350,8 +350,8 @@ "execution_count": 10, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:09.809338Z", - "start_time": "2022-10-29T17:21:09.804036Z" + "end_time": "2022-10-31T18:36:00.607946Z", + "start_time": "2022-10-31T18:36:00.602280Z" } }, "outputs": [ @@ -389,8 +389,8 @@ "execution_count": 11, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:09.817360Z", - "start_time": "2022-10-29T17:21:09.811851Z" + "end_time": "2022-10-31T18:36:00.617563Z", + "start_time": "2022-10-31T18:36:00.611244Z" } }, "outputs": [ @@ -415,8 +415,8 @@ "execution_count": 12, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:10.117737Z", - "start_time": "2022-10-29T17:21:09.823845Z" + "end_time": "2022-10-31T18:36:00.962345Z", + "start_time": "2022-10-31T18:36:00.620617Z" } }, "outputs": [ @@ -464,8 +464,8 @@ "execution_count": 13, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:10.205895Z", - "start_time": "2022-10-29T17:21:10.120177Z" + "end_time": "2022-10-31T18:36:01.052301Z", + "start_time": "2022-10-31T18:36:00.965219Z" } }, "outputs": [], @@ -491,8 +491,8 @@ "execution_count": 14, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:10.571008Z", - "start_time": "2022-10-29T17:21:10.208210Z" + "end_time": "2022-10-31T18:36:01.457645Z", + "start_time": "2022-10-31T18:36:01.054922Z" } }, "outputs": [ @@ -535,8 +535,8 @@ "execution_count": 15, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:10.635870Z", - "start_time": "2022-10-29T17:21:10.573378Z" + "end_time": "2022-10-31T18:36:01.527615Z", + "start_time": "2022-10-31T18:36:01.461590Z" } }, "outputs": [ @@ -571,8 +571,8 @@ "execution_count": 16, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:10.641974Z", - "start_time": "2022-10-29T17:21:10.637762Z" + "end_time": "2022-10-31T18:36:01.535735Z", + "start_time": "2022-10-31T18:36:01.530421Z" } }, "outputs": [ @@ -605,8 +605,8 @@ "execution_count": 17, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:10.648705Z", - "start_time": "2022-10-29T17:21:10.643791Z" + "end_time": "2022-10-31T18:36:01.545323Z", + "start_time": "2022-10-31T18:36:01.538458Z" } }, "outputs": [ @@ -646,8 +646,8 @@ "execution_count": 18, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:10.686530Z", - "start_time": "2022-10-29T17:21:10.650534Z" + "end_time": "2022-10-31T18:36:01.585297Z", + "start_time": "2022-10-31T18:36:01.547774Z" } }, "outputs": [], @@ -672,15 +672,15 @@ "execution_count": 19, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:10.819581Z", - "start_time": "2022-10-29T17:21:10.689050Z" + "end_time": "2022-10-31T18:36:01.686815Z", + "start_time": "2022-10-31T18:36:01.588522Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 19, @@ -705,8 +705,8 @@ "execution_count": 20, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:10.827787Z", - "start_time": "2022-10-29T17:21:10.822758Z" + "end_time": "2022-10-31T18:36:01.695598Z", + "start_time": "2022-10-31T18:36:01.690278Z" } }, "outputs": [ @@ -720,7 +720,6 @@ ], "source": [ "pmp_obj = round(pmedian_from_cm.problem.objective.value(), 3)\n", - "pmedian_from_cm.get_mean_distance(weight=ai)\n", "pmp_mean = round(pmedian_from_cm.mean_dist, 3)\n", "print(\n", " f\"A total minimized weighted distance of {pmp_obj} units is \"\n", @@ -740,8 +739,8 @@ "execution_count": 21, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:10.845905Z", - "start_time": "2022-10-29T17:21:10.830668Z" + "end_time": "2022-10-31T18:36:01.716313Z", + "start_time": "2022-10-31T18:36:01.699155Z" } }, "outputs": [ @@ -846,20 +845,89 @@ ], "source": [ "facility_points[\"dv\"] = pmedian_from_cm.fac_vars\n", - "facility_points[\"dv\"] = facility_points[\"dv\"].map(\n", - " lambda x: x.name.replace(\"_\", \"\").replace(\"x\", \"y\")\n", - ")\n", + "facility_points[\"dv\"] = facility_points[\"dv\"].map(lambda x: x.name.replace(\"_\", \"\"))\n", "facilities_snapped[\"dv\"] = facility_points[\"dv\"]\n", "facility_points" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Calculating euclidean distance from a `GeoDataFrame`\n", + "\n", + "With ``PMedian.from_cost_matrix`` we model the $p$-median problem to minimize the total *weighted* cost between clients and $p$ facilities, 3 in our case, while ensuring that each client is assigned to one, and only one, facility. Here we use geodataframes to calculate a euclidean distance cost matrix.\n", + "\n", + "Next we will solve the $p$-median problem considering all 10 candidate locations for potential selection." + ] + }, { "cell_type": "code", "execution_count": 22, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:10.860720Z", - "start_time": "2022-10-29T17:21:10.848843Z" + "end_time": "2022-10-31T18:36:01.852713Z", + "start_time": "2022-10-31T18:36:01.718679Z" + } + }, + "outputs": [], + "source": [ + "distance_metric = \"euclidean\"\n", + "clients_snapped[\"weights\"] = client_points[\"weights\"]\n", + "pmedian_from_gdf = PMedian.from_geodataframe(\n", + " clients_snapped,\n", + " facilities_snapped,\n", + " \"geometry\",\n", + " \"geometry\",\n", + " \"weights\",\n", + " p_facilities=P_FACILITIES,\n", + " distance_metric=distance_metric,\n", + " name=f\"p-median-{distance_metric}-distance\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "ExecuteTime": { + "end_time": "2022-10-31T18:36:01.955861Z", + "start_time": "2022-10-31T18:36:01.855243Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "A total minimized weighted distance of 1642.918 units is observed, with a mean distance of 2.838 per individual client.\n" + ] + } + ], + "source": [ + "pmedian_from_gdf = pmedian_from_gdf.solve(solver)\n", + "pmp_obj = round(pmedian_from_gdf.problem.objective.value(), 3)\n", + "pmp_mean = round(pmedian_from_gdf.mean_dist, 3)\n", + "print(\n", + " f\"A total minimized weighted distance of {pmp_obj} units is \"\n", + " f\"observed, with a mean distance of {pmp_mean} per individual client.\"\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "However, in many real world applications there may already be existing facility locations with the goal being to add one or more new facilities. Here we will define facilites $y_0$ and $y_1$ as already existing (they must be present in the model solution). This will lead to a sub-optimal solution." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "ExecuteTime": { + "end_time": "2022-10-31T18:36:01.976462Z", + "start_time": "2022-10-31T18:36:01.960379Z" } }, "outputs": [ @@ -894,13 +962,13 @@ " 0\n", " POINT (9.32146 3.15178)\n", " y0\n", - " 0\n", + " 1\n", " \n", " \n", " 1\n", " POINT (8.53352 -0.04134)\n", " y1\n", - " 0\n", + " 1\n", " \n", " \n", " 2\n", @@ -956,8 +1024,8 @@ ], "text/plain": [ " geometry dv predefined_loc\n", - "0 POINT (9.32146 3.15178) y0 0\n", - "1 POINT (8.53352 -0.04134) y1 0\n", + "0 POINT (9.32146 3.15178) y0 1\n", + "1 POINT (8.53352 -0.04134) y1 1\n", "2 POINT (0.68422 6.04557) y2 0\n", "3 POINT (5.32799 4.10688) y3 0\n", "4 POINT (3.18949 6.34771) y4 0\n", @@ -968,62 +1036,49 @@ "9 POINT (9.13894 8.56135) y9 0" ] }, - "execution_count": 22, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# Coming soon!\n", "facility_points[\"predefined_loc\"] = 0\n", - "#facility_points.loc[(0, 1), \"predefined_loc\"] = 1\n", + "facility_points.loc[(0, 1), \"predefined_loc\"] = 1\n", "facilities_snapped[\"predefined_loc\"] = facility_points[\"predefined_loc\"]\n", "facility_points" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Calculating euclidean distance from a `GeoDataFrame`\n", - "\n", - "With ``PMedian.from_cost_matrix`` we model the $p$-median problem to minimize the total *weighted* cost between clients and $p$ facilities, 3 in our case, while ensuring that each client is assigned to one, and only one, facility. Here we use geodataframes to calculate a euclidean distance cost matrix.\n", - "\n", - "Next we will solve the $p$-median problem considering all 10 candidate locations for potential selection." - ] - }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 25, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:10.989387Z", - "start_time": "2022-10-29T17:21:10.863443Z" + "end_time": "2022-10-31T18:36:02.017415Z", + "start_time": "2022-10-31T18:36:01.979080Z" } }, "outputs": [], "source": [ - "distance_metric = \"euclidean\"\n", - "clients_snapped[\"weights\"] = client_points[\"weights\"]\n", - "pmedian_from_gdf = PMedian.from_geodataframe(\n", + "pmedian_from_gdf_pre = PMedian.from_geodataframe(\n", " clients_snapped,\n", " facilities_snapped,\n", " \"geometry\",\n", " \"geometry\",\n", " \"weights\",\n", " p_facilities=P_FACILITIES,\n", + " predefined_facility_col=\"predefined_loc\",\n", " distance_metric=distance_metric,\n", - " name=f\"p-median-{distance_metric}-distance\"\n", + " name=f\"p-median-{distance_metric}-distance-predefined\"\n", ")" ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 26, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:11.088551Z", - "start_time": "2022-10-29T17:21:10.991574Z" + "end_time": "2022-10-31T18:36:02.138099Z", + "start_time": "2022-10-31T18:36:02.020202Z" } }, "outputs": [ @@ -1031,15 +1086,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "A total minimized weighted distance of 1642.918 units is observed, with a mean distance of 2.838 per individual client.\n" + "A total minimized weighted distance of 2080.805 units is observed, with a mean distance of 3.594 per individual client.\n" ] } ], "source": [ - "pmedian_from_gdf = pmedian_from_gdf.solve(solver)\n", - "pmp_obj = round(pmedian_from_gdf.problem.objective.value(), 3)\n", - "pmedian_from_gdf.get_mean_distance(weight=ai)\n", - "pmp_mean = round(pmedian_from_gdf.mean_dist, 3)\n", + "pmedian_from_gdf_pre = pmedian_from_gdf_pre.solve(solver)\n", + "pmp_obj = round(pmedian_from_gdf_pre.problem.objective.value(), 3)\n", + "pmp_mean = round(pmedian_from_gdf_pre.mean_dist, 3)\n", "print(\n", " f\"A total minimized weighted distance of {pmp_obj} units is \"\n", " f\"observed, with a mean distance of {pmp_mean} per individual client.\"\n", @@ -1057,11 +1111,11 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 27, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:11.098495Z", - "start_time": "2022-10-29T17:21:11.091891Z" + "end_time": "2022-10-31T18:36:02.147707Z", + "start_time": "2022-10-31T18:36:02.141345Z" } }, "outputs": [ @@ -1086,7 +1140,7 @@ " 'y15': 'mediumorchid'}" ] }, - "execution_count": 25, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -1116,11 +1170,11 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 28, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:11.114748Z", - "start_time": "2022-10-29T17:21:11.101085Z" + "end_time": "2022-10-31T18:36:02.164020Z", + "start_time": "2022-10-31T18:36:02.150546Z" } }, "outputs": [], @@ -1221,11 +1275,11 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 29, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:11.725665Z", - "start_time": "2022-10-29T17:21:11.117603Z" + "end_time": "2022-10-31T18:36:02.837760Z", + "start_time": "2022-10-31T18:36:02.166468Z" } }, "outputs": [ @@ -1253,16 +1307,16 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### P-Median built from geodataframes (euclidean distance)" + "### P-median built from geodataframes (euclidean distance)" ] }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 30, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:12.325645Z", - "start_time": "2022-10-29T17:21:11.728090Z" + "end_time": "2022-10-31T18:36:03.524427Z", + "start_time": "2022-10-31T18:36:02.839722Z" } }, "outputs": [ @@ -1290,13 +1344,49 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "You may notice that the model results are similar, yet different. This is expected as the distances between facility and demand points are calculated with different metrics (network vs. euclidean distance)." + "You may notice that the model results are similar, yet different. This is expected as the distances between facility and demand points are calculated with different metrics (network vs. euclidean distance).\n", + "\n", + "### P-median with preselected facilities (euclidean distance)\n", + "\n", + "Finally, let's visualize the results of the $p$-median problem when stipulating that facilities $y_0$ and $y_1$ must be included in the final selection." + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "ExecuteTime": { + "end_time": "2022-10-31T18:36:04.281246Z", + "start_time": "2022-10-31T18:36:03.537019Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "image/png": { + "height": 525, + "width": 791 + } + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_results(pmedian_from_gdf_pre, P_FACILITIES, facility_points, clis=client_points)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ + "Here, the differences is explained by the preselected facilities $y_0$ and $y_1$. So, the $p$-median model chooses the facility ***$y_4$*** to minimize the total weighted cost to serve all clients.\n", + "\n", "-----------------------------------\n", "\n", "## Comparing solution from varied metrics" @@ -1304,34 +1394,34 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 32, "metadata": { "ExecuteTime": { - "end_time": "2022-10-29T17:21:13.193269Z", - "start_time": "2022-10-29T17:21:12.327991Z" + "end_time": "2022-10-31T18:36:06.107687Z", + "start_time": "2022-10-31T18:36:04.284090Z" } }, "outputs": [ { "data": { - "image/png": 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\n", "text/plain": [ - "
" + "
" ] }, "metadata": { "image/png": { - "height": 619, - "width": 1182 + "height": 556, + "width": 1569 } }, "output_type": "display_data" } ], "source": [ - "fig, axarr = plt.subplots(1, 2, figsize=(15, 7.5))\n", + "fig, axarr = plt.subplots(1, 3, figsize=(20, 10))\n", "fig.subplots_adjust(wspace=-0.01)\n", - "for i, m in enumerate([pmedian_from_cm, pmedian_from_gdf]):\n", + "for i, m in enumerate([pmedian_from_cm, pmedian_from_gdf, pmedian_from_gdf_pre]):\n", " plot_results(m, P_FACILITIES, facility_points, clis=client_points, ax=axarr[i])" ] }, diff --git a/spopt/locate/base.py b/spopt/locate/base.py index 46a88e2a..36f8841f 100644 --- a/spopt/locate/base.py +++ b/spopt/locate/base.py @@ -34,12 +34,15 @@ def solve(self, solver: pulp.LpSolver): Parameters ---------- + solver: pulp.LpSolver - solver supported by pulp package + solver supported by pulp package Returns ------- + None + """ pass @@ -62,11 +65,18 @@ class BaseOutputMixin: def client_facility_array(self) -> None: """ - Create an array 2d MxN, where m is number of clients and n is number of facilities. + Create an array 2d MxN, where m is number of + clients and n is number of facilities. + + Notes + ----- + + This functions requires `fac2cli` attribute to work properly. + This attribute is set using `facility_client_array` method which is + located inside the model classes. When solve method is used with + `results=True` it will already set automatically, if not, + you have to call the method. - Note - ---- - This functions requires `fac2cli` attribute to work properly. This attribute is set using `facility_client_array` method which is located inside the model classes. When solve method is used with `results=True` it will already set automatically, if not, you have to call the method. """ if hasattr(self, "fac2cli"): self.cli2fac = [[] for i in range(self.aij.shape[0])] @@ -85,9 +95,13 @@ class CoveragePercentageMixin: """ Mixin to calculate the percentage of area covered. - Note - ---- - This Mixin requires `n_cli_uncov` attribute to work properly. This attribute is set using `uncovered_clients` method which is located inside the model classes. When solve method is used with `results=True` it will already set automatically, if not, you have to call the method. + Notes + ----- + + This Mixin requires `n_cli_uncov` attribute to work properly. + This attribute is set using `uncovered_clients` method which is located + inside the model classes. When solve method is used with `results=True` + it will already set automatically, if not, you have to call the method. """ @@ -95,9 +109,15 @@ def uncovered_clients(self) -> None: """ Calculate how many clients points are not covered. - Note - ---- - This function requires `fac2cli` attribute to work properly. This attribute is set using `facility_client_array` method which is located inside the model classes. When solve method is used with `results=True` it will already set automatically, if not, you have to call the method. + Notes + ----- + + This function requires `fac2cli` attribute to work properly. + This attribute is set using `facility_client_array` method which + is located inside the model classes. When solve method is used with + `results=True` it will already set automatically, if not, you have + to call the method. + """ if hasattr(self, "fac2cli"): @@ -108,18 +128,20 @@ def uncovered_clients(self) -> None: self.n_cli_uncov = self.aij.shape[0] - len(set_cov) else: raise AttributeError( - "The attribute `fac2cli` is not set. See `facility_client_array` method to set the attribute" + "The attribute `fac2cli` is not set. See `facility_client_array` " + "method to set the attribute." ) def get_percentage(self): """ - Calculate the percentage + Calculate the percentage of covered clients. """ if hasattr(self, "n_cli_uncov"): - self.percentage = 1 - (self.n_cli_uncov / self.aij.shape[0]) + self.perc_cov = (1 - (self.n_cli_uncov / self.aij.shape[0])) * 100.0 else: raise AttributeError( - "The attribute `n_cli_uncov` is not set. See `uncovered_clients` method to set the attribute." + "The attribute `n_cli_uncov` is not set. See `uncovered_clients` " + "method to set the attribute." ) @@ -128,19 +150,24 @@ class MeanDistanceMixin: Mixin to calculate the mean distance between demand and facility sites chosen """ - def get_mean_distance(self, weight: np.array): + def get_mean_distance(self): """ Calculate the mean distance - Parameters - ---------- - weight: np.array - weight of all demand points + """ + self.mean_dist = self.problem.objective.value() / self.ai_sum - Returns - ------- - None + +class BackupPercentageMixinMixin: + """ + Mixin to calculate the percentage of clients being covered by + more the one facility (LSCP-B). + """ + + def get_percentage(self): """ - self.mean_dist = self.problem.objective.value() / weight.sum() + Calculate the percentage of clients with backup. + """ + self.backup_perc = (self.problem.objective.value() / len(self.cli_vars)) * 100.0 T_FacModel = TypeVar("T_FacModel", bound=LocateSolver) @@ -159,6 +186,7 @@ def add_facility_integer_variable( Parameters ---------- + obj: T_FacModel bounded type of LocateSolver class range_facility: range @@ -169,7 +197,9 @@ def add_facility_integer_variable( Returns ------- + None + """ fac_vars = [ pulp.LpVariable( @@ -182,10 +212,11 @@ def add_facility_integer_variable( @staticmethod def add_client_integer_variable(obj: T_FacModel, range_client, var_name) -> None: - """ + """client integer decision variables Parameters ---------- + obj: T_FacModel bounded type of LocateSolver class range_client: range @@ -196,7 +227,9 @@ def add_client_integer_variable(obj: T_FacModel, range_client, var_name) -> None Returns ------- + None + """ cli_vars = [ pulp.LpVariable( @@ -211,10 +244,11 @@ def add_client_integer_variable(obj: T_FacModel, range_client, var_name) -> None def add_client_assign_integer_variable( obj: T_FacModel, range_client, range_facility, var_name ) -> None: - """ + """client assignment integer decision variables (used for allocation) Parameters ---------- + obj: T_FacModel bounded type of LocateSolver class range_client: range @@ -227,7 +261,9 @@ def add_client_assign_integer_variable( Returns ------- + None + """ cli_assgn_vars = [ [ @@ -243,7 +279,7 @@ def add_client_assign_integer_variable( @staticmethod def add_weight_continuous_variable(obj: T_FacModel) -> None: - """ + """maximized minimum variable (p-center) Parameters ---------- @@ -252,7 +288,9 @@ def add_weight_continuous_variable(obj: T_FacModel) -> None: Returns ------- + None + """ weight_var = pulp.LpVariable("W", lowBound=0, cat=pulp.LpContinuous) @@ -264,12 +302,15 @@ def add_maximized_min_variable(obj: T_FacModel) -> None: Parameters ---------- + obj: T_FacModel bounded type of LocateSolver class Returns ------- + None + """ D = pulp.LpVariable("D", lowBound=0, cat=pulp.LpContinuous) setattr(obj, "disperse_var", D) @@ -284,23 +325,27 @@ def add_set_covering_constraint( ) -> None: """ set covering constraint: - n1_1 * fac_var1 + n1_2 * fac_var1 + ... + nij * fac_varj >= 1 + + ni0 * y0 + ni1 * y1 + ... + nij * yj >= 1 Parameters ---------- + obj: T_FacModel bounded type of LocateSolver class model: pulp.LpProblem optimization model problem ni: np.array - two-dimensional array that defines candidate sites between facility points within a distance to supply {i} - demand point + two-dimensional array that defines candidate sites between facility + points within a distance to supply {i} demand point range_facility: range range of facility points quantity range_client: range range of demand points quantity + Returns ------- + None """ @@ -325,23 +370,27 @@ def add_backup_covering_constraint( ) -> None: """ backup covering constraint: - - coverage_0 + facility_1 + facility_3 + facility_4 + facility_6 + facility_7 + facility_9 >= 1 + + - u_i + ni0 * y_0 + ni1 * y_1 + ... + nij * y_j >= 1 Parameters ---------- + obj: T_FacModel bounded type of LocateSolver class model: pulp.LpProblem optimization model problem ni: np.array - two-dimensional array that defines candidate sites between facility points within a distance to supply {i} - demand point + two-dimensional array that defines candidate sites between facility + points within a distance to supply {i} demand point range_facility: range range of facility points quantity range_client: range range of demand points quantity + Returns ------- + None """ @@ -375,10 +424,12 @@ def add_facility_constraint( ) -> None: """ set facility constraint: - fac_var1 + fac_var2 + fac_var3 + ... + fac_varj == p + + y0 + y1 + y2 + ... + yj == p Parameters ---------- + obj: T_FacModel bounded type of LocateSolver class model: pulp.LpProblem @@ -388,7 +439,9 @@ def add_facility_constraint( Returns ------- + None + """ if hasattr(obj, "fac_vars"): fac_vars = getattr(obj, "fac_vars") @@ -407,6 +460,7 @@ def add_predefined_facility_constraint( Parameters ---------- + obj: T_FacModel bounded type of LocateSolver class model: pulp.LpProblem @@ -416,7 +470,9 @@ def add_predefined_facility_constraint( Returns ------- + None + """ if hasattr(obj, "fac_vars"): fac_vars = getattr(obj, "fac_vars") @@ -436,16 +492,19 @@ def add_maximal_coverage_constraint( ) -> None: """ set maximal constraint: - n1_1 * fac_var1 + n1_2 * fac_var1 + ... + nij * fac_varj >= dem_var[i] + + ni_1 * y1 + ni_2 * y1 + ... + nij * yj >= xi Parameters ---------- + obj: T_FacModel bounded type of LocateSolver class model: pulp.LpProblem optimization model problem ni: np.array - two-dimensional array that defines candidate sites between facility points within a distance to supply {i} demand point + two-dimensional array that defines candidate sites between facility + points within a distance to supply {i} demand point range_facility: range range of facility points quantity range_client: range @@ -453,7 +512,9 @@ def add_maximal_coverage_constraint( Returns ------- + None + """ if hasattr(obj, "fac_vars") and hasattr(obj, "cli_vars"): fac_vars = getattr(obj, "fac_vars") @@ -476,10 +537,12 @@ def add_assignment_constraint( ) -> None: """ set assignment constraint: - x1_1 + x_1_2 + x1_3 + x1_j == 1 + + x_i_0 + x_i_1 + ... + x_i_j == 1 Parameters ---------- + obj: T_FacModel bounded type of LocateSolver class model: pulp.LpProblem @@ -491,7 +554,9 @@ def add_assignment_constraint( Returns ------- + None + """ if hasattr(obj, "cli_assgn_vars"): cli_assgn_vars = getattr(obj, "cli_assgn_vars") @@ -510,10 +575,12 @@ def add_opening_constraint( ) -> None: """ set opening constraint to model: - fac_var_j >= xi_j + + y_j >= xi_j Parameters ---------- + obj: T_FacModel bounded type of LocateSolver class model: pulp.LpProblem @@ -525,7 +592,9 @@ def add_opening_constraint( Returns ------- + None + """ if hasattr(obj, "cli_assgn_vars"): cli_assgn_vars = getattr(obj, "cli_assgn_vars") @@ -546,10 +615,12 @@ def add_minimized_maximum_constraint( ) -> None: """ set minimized maximum constraint: - x1_1 * d1_1 + x1_2 * d1_2 + ... + xi_j * di_j <= W + + xi_0 * di_0 + xi_1 * di_1 + ... + xi_j * di_j <= W Parameters ---------- + obj: T_FacModel bounded type of LocateSolver class model: pulp.LpProblem @@ -563,11 +634,15 @@ def add_minimized_maximum_constraint( Returns ------- + None Notes ----- - See explanation W variable in ``spopt.locate.base.add_weight_continuous_variable`` + + See an explanation for the ``W`` variable in + ``spopt.locate.base.add_weight_continuous_variable`` + """ if hasattr(obj, "cli_assgn_vars") and hasattr(obj, "weight_var"): cli_assgn_vars = getattr(obj, "cli_assgn_vars") @@ -595,10 +670,12 @@ def add_p_dispersion_interfacility_constraint( ) -> None: """ p-dispersion interfacility distance constraint: - dij + M (2 - facility_1 - facility_2) >= D + + dij + M (2 - y_0 - y_1) >= D Parameters ---------- + obj: T_FacModel bounded type of LocateSolver class model: pulp.LpProblem @@ -607,9 +684,12 @@ def add_p_dispersion_interfacility_constraint( two-dimensional array that defines the distance between facility points range_facility: range range of facility points quantity + Returns ------- + None + """ if hasattr(obj, "disperse_var") and hasattr(obj, "fac_vars"): M = cost_matrix.max() diff --git a/spopt/locate/coverage.py b/spopt/locate/coverage.py index e63d96da..cc4fed3f 100644 --- a/spopt/locate/coverage.py +++ b/spopt/locate/coverage.py @@ -6,6 +6,7 @@ from spopt.locate.base import ( BaseOutputMixin, CoveragePercentageMixin, + BackupPercentageMixinMixin, LocateSolver, FacilityModelBuilder, ) @@ -20,23 +21,32 @@ class LSCP(LocateSolver, BaseOutputMixin): Parameters ---------- + name: str Problem name problem: pulp.LpProblem - Pulp instance of optimization model that contains constraints, variables and objective function. + Pulp instance of optimization model that contains constraints, + variables and objective function. Attributes ---------- + name: str Problem name problem: pulp.LpProblem - Pulp instance of optimization model that contains constraints, variables and objective function. + Pulp instance of optimization model that contains constraints, + variables and objective function. fac2cli : np.array - 2-d array MxN, where m is number of facilities and n is number of clients. Each row represents a facility and has an array containing clients index meaning that the facility-i cover the entire array. + 2-d array MxN, where m is number of facilities and n is number of clients. + Each row represents a facility and has an array containing clients + index meaning that the facility-i cover the entire array. cli2fac: np.array - 2-d MxN, where m is number of clients and n is number of facilities. Each row represent a client and has an array containing facility index meaning that the client is covered by the facility ith. + 2-d MxN, where m is number of clients and n is number of facilities. + Each row represent a client and has an array containing facility index + meaning that the client is covered by the facility ith. aij: np.array Cost matrix 2-d array + """ def __init__(self, name: str, problem: pulp.LpProblem): @@ -45,11 +55,14 @@ def __init__(self, name: str, problem: pulp.LpProblem): def __add_obj(self) -> None: """ Add objective function to model: - Minimize x1 + x2 + x3 + x4 + x5 + ... + xj + + Minimize y1 + y2 + y3 + y4 + y5 + ... + yj Returns ------- + None + """ fac_vars = getattr(self, "fac_vars") self.problem += pulp.lpSum(fac_vars), "objective function" @@ -67,21 +80,29 @@ def from_cost_matrix( Parameters ---------- + cost_matrix: np.array two-dimensional distance array between facility points and demand point service_radius: float maximum acceptable service distance by problem + predefined_facilities_arr : numpy.array + Predefined facilities that must appear in the solution. + Default is ``None``. name: str, default="LSCP" name of the problem Returns ------- + LSCP object Examples -------- - >>> from spopt.locate.coverage import LSCP + + >>> from spopt.locate import LSCP >>> from spopt.locate.util import simulated_geo_points + >>> import geopandas + >>> import numpy >>> import pulp >>> import spaghetti @@ -89,23 +110,28 @@ def from_cost_matrix( >>> lattice = spaghetti.regular_lattice((0, 0, 10, 10), 9, exterior=True) >>> ntw = spaghetti.Network(in_data=lattice) - >>> street = spaghetti.element_as_gdf(ntw, arcs=True) - >>> street_buffered = geopandas.GeoDataFrame( - ... geopandas.GeoSeries(street["geometry"].buffer(0.2).unary_union), - ... crs=street.crs, - ... columns=["geometry"]) + >>> streets = spaghetti.element_as_gdf(ntw, arcs=True) + >>> streets_buffered = geopandas.GeoDataFrame( + ... geopandas.GeoSeries(streets["geometry"].buffer(0.2).unary_union), + ... crs=streets.crs, + ... columns=["geometry"] + ... ) Simulate points belong to lattice - >>> demand_points = simulated_geo_points(street_buffered, needed=100, seed=5) - >>> facility_points = simulated_geo_points(street_buffered, needed=5, seed=6) + >>> demand_points = simulated_geo_points(streets_buffered, needed=100, seed=5) + >>> facility_points = simulated_geo_points(streets_buffered, needed=5, seed=6) Snap points to the network >>> ntw.snapobservations(demand_points, "clients", attribute=True) - >>> clients_snapped = spaghetti.element_as_gdf(ntw, pp_name="clients", snapped=True) + >>> clients_snapped = spaghetti.element_as_gdf( + ... ntw, pp_name="clients", snapped=True + ... ) >>> ntw.snapobservations(facility_points, "facilities", attribute=True) - >>> facilities_snapped = spaghetti.element_as_gdf(ntw, pp_name="facilities", snapped=True) + >>> facilities_snapped = spaghetti.element_as_gdf( + ... ntw, pp_name="facilities", snapped=True + ... ) Calculate the cost matrix >>> cost_matrix = ntw.allneighbordistances( @@ -114,13 +140,22 @@ def from_cost_matrix( Create LSCP instance from cost matrix - >>> lscp_from_cost_matrix = LSCP.from_cost_matrix(cost_matrix, max_coverage=8) - >>> lscp_from_cost_matrix = lscp_from_cost_matrix.solve(pulp.PULP_CBC_CMD(msg=False)) + >>> lscp_from_cost_matrix = LSCP.from_cost_matrix( + ... cost_matrix, service_radius=8 + ... ) + >>> lscp_from_cost_matrix = lscp_from_cost_matrix.solve( + ... pulp.PULP_CBC_CMD(msg=False) + ... ) Get facility lookup demand coverage array - >>> lscp_from_cost_matrix.facility_client_array() - >>> lscp_from_cost_matrix.fac2cli + >>> for fac, cli in enumerate(lscp_from_cost_matrix.fac2cli): + ... print(f"facility {fac} serving {len(cli)} clients") + facility 0 serving 0 clients + facility 1 serving 63 clients + facility 2 serving 85 clients + facility 3 serving 0 clients + facility 4 serving 58 clients """ @@ -130,7 +165,7 @@ def from_cost_matrix( model = pulp.LpProblem(name, pulp.LpMinimize) lscp = LSCP(name, model) - FacilityModelBuilder.add_facility_integer_variable(lscp, r_fac, "x[{i}]") + FacilityModelBuilder.add_facility_integer_variable(lscp, r_fac, "y[{i}]") lscp.aij = np.zeros(cost_matrix.shape) lscp.aij[cost_matrix <= service_radius] = 1 @@ -160,11 +195,12 @@ def from_geodataframe( name: str = "LSCP", ): """ - Create a LSCP object based on geodataframes. Calculate the cost matrix between demand and facility, - and then use from_cost_matrix method. + Create a LSCP object based on geodataframes. Calculate the cost matrix + between demand and facility, and then use from_cost_matrix method. Parameters ---------- + gdf_demand: geopandas.GeoDataFrame demand geodataframe with point geometry gdf_fac: geopandas.GeoDataframe @@ -175,19 +211,27 @@ def from_geodataframe( facility candidate sites geometry column name service_radius: float maximum acceptable service distance by problem + predefined_facility_col: str + Column name representing facilities are already defined. + Default is ``None``. distance_metric: str, default="euclidean" - metrics supported by :method: `scipy.spatial.distance.cdist` used for the distance calculations + metrics supported by :method: `scipy.spatial.distance.cdist` used + for the distance calculations name: str, default="LSCP" name of the problem Returns ------- + LSCP object Examples -------- - >>> from spopt.locate.coverage import LSCP + + >>> from spopt.locate import LSCP >>> from spopt.locate.util import simulated_geo_points + >>> import geopandas + >>> import numpy >>> import pulp >>> import spaghetti @@ -195,35 +239,52 @@ def from_geodataframe( >>> lattice = spaghetti.regular_lattice((0, 0, 10, 10), 9, exterior=True) >>> ntw = spaghetti.Network(in_data=lattice) - >>> street = spaghetti.element_as_gdf(ntw, arcs=True) - >>> street_buffered = geopandas.GeoDataFrame( - ... geopandas.GeoSeries(street["geometry"].buffer(0.2).unary_union), - ... crs=street.crs, - ... columns=["geometry"]) + >>> streets = spaghetti.element_as_gdf(ntw, arcs=True) + >>> streets_buffered = geopandas.GeoDataFrame( + ... geopandas.GeoSeries(streets["geometry"].buffer(0.2).unary_union), + ... crs=streets.crs, + ... columns=["geometry"] + ... ) Simulate points belong to lattice - >>> demand_points = simulated_geo_points(street_buffered, needed=100, seed=5) - >>> facility_points = simulated_geo_points(street_buffered, needed=5, seed=6) + >>> demand_points = simulated_geo_points(streets_buffered, needed=100, seed=5) + >>> facility_points = simulated_geo_points(streets_buffered, needed=5, seed=6) Snap points to the network >>> ntw.snapobservations(demand_points, "clients", attribute=True) - >>> clients_snapped = spaghetti.element_as_gdf(ntw, pp_name="clients", snapped=True) + >>> clients_snapped = spaghetti.element_as_gdf( + ... ntw, pp_name="clients", snapped=True + ... ) >>> ntw.snapobservations(facility_points, "facilities", attribute=True) - >>> facilities_snapped = spaghetti.element_as_gdf(ntw, pp_name="facilities", snapped=True) - - Create LSCP instance from cost matrix - - >>> lscp_from_geodataframe = LSCP.from_geodataframe(clients_snapped, facilities_snapped, - ... "geometry", "geometry", - ... max_coverage=8, distance_metric="euclidean") - >>> lscp_from_geodataframe = lscp_from_geodataframe.solve(pulp.PULP_CBC_CMD(msg=False)) + >>> facilities_snapped = spaghetti.element_as_gdf( + ... ntw, pp_name="facilities", snapped=True + ... ) + + Create LSCP instance from geodataframe + + >>> lscp_from_geodataframe = LSCP.from_geodataframe( + ... clients_snapped, + ... facilities_snapped, + ... "geometry", + ... "geometry", + ... service_radius=8, + ... distance_metric="euclidean" + ... ) + >>> lscp_from_geodataframe = lscp_from_geodataframe.solve( + ... pulp.PULP_CBC_CMD(msg=False) + ... ) Get facility lookup demand coverage array - >>> lscp_from_geodataframe.facility_client_array() - >>> lscp_from_geodataframe.fac2cli + >>> for fac, cli in enumerate(lscp_from_geodataframe.fac2cli): + ... print(f"facility {fac} serving {len(cli)} clients") + facility 0 serving 0 clients + facility 1 serving 0 clients + facility 2 serving 100 clients + facility 3 serving 0 clients + facility 4 serving 0 clients """ @@ -266,11 +327,15 @@ def from_geodataframe( def facility_client_array(self) -> None: """ - Create an array 2d MxN, where m is number of facilities and n is number of clients. Each row represent a facility and has an array containing clients index meaning that the facility-i cover the entire array. + Create an array 2d MxN, where m is number of facilities and n is number of + clients. Each row represent a facility and has an array containing clients + index meaning that the facility-i cover the entire array. Returns ------- + None + """ fac_vars = getattr(self, "fac_vars") @@ -289,19 +354,22 @@ def facility_client_array(self) -> None: def solve(self, solver: pulp.LpSolver, results: bool = True): """ - Solve the LSCP model + Solve the LSCP model. Parameters ---------- + solver: pulp.LpSolver solver supported by pulp package - results: bool - if True it will create metainfo - which facilities cover which demand and vice-versa, and the uncovered demand - about the model results + if True it will create metainfo - which facilities cover which demand and + vice-versa, and the uncovered demand - about the model results Returns ------- + LSCP object + """ self.problem.solve(solver) self.check_status() @@ -313,46 +381,68 @@ def solve(self, solver: pulp.LpSolver, results: bool = True): return self -class LSCPB(LocateSolver, BaseOutputMixin): +class LSCPB(LocateSolver, BaseOutputMixin, BackupPercentageMixinMixin): """ - LSCPB class implements Location Set Covering Problem - Backup optimization model and solves it. + LSCPB class implements Location Set Covering Problem - Backup + optimization model and solves it. Parameters ---------- + name: str Problem name problem: pulp.LpProblem - Pulp instance of optimization model that contains constraints, variables and objective function. + Pulp instance of optimization model that contains constraints, + variables and objective function. + solver: pulp.LpSolver + solver supported by pulp package Attributes ---------- + name: str Problem name problem: pulp.LpProblem - Pulp instance of optimization model that contains constraints, variables and objective function. + Pulp instance of optimization model that contains constraints, + variables and objective function. + solver: pulp.LpSolver + solver supported by pulp package lscp_obj_value: float Objective value returned from solved LSCP instance. fac2cli : np.array - 2-d array MxN, where m is number of facilities and n is number of clients. Each row represents a facility and has an array containing clients index meaning that the facility-i cover the entire array. + 2-d array MxN, where m is number of facilities and n is number of clients. + Each row represents a facility and has an array containing clients index + meaning that the facility-i cover the entire array. cli2fac: np.array - 2-d MxN, where m is number of clients and n is number of facilities. Each row represent a client and has an array containing facility index meaning that the client is covered by the facility ith. + 2-d MxN, where m is number of clients and n is number of facilities. + Each row represent a client and has an array containing facility index + meaning that the client is covered by the facility ith. aij: np.array Cost matrix 2-d array + """ - def __init__(self, name: str, problem: pulp.LpProblem, lscp_obj_value=0.0): - self.lscp_obj_value = lscp_obj_value + def __init__( + self, + name: str, + problem: pulp.LpProblem, + solver: pulp.LpSolver, + ): + self.solver = solver super().__init__(name, problem) def __add_obj(self) -> None: """ Add objective function to model: (Coverage Variable) + Maximize U1 + U2 + U3 + U4 + U5 + ... + Uj Returns ------- + None + """ cov_vars = getattr(self, "cli_vars") self.problem += pulp.lpSum(cov_vars), "objective function" @@ -371,21 +461,31 @@ def from_cost_matrix( Parameters ---------- + cost_matrix: np.array two-dimensional distance array between facility points and demand point service_radius: float maximum acceptable service distance by problem + solver: pulp.LpSolver + solver supported by pulp package + predefined_facilities_arr : numpy.array + Predefined facilities that must appear in the solution. + Default is ``None``. name: str, default="LSCP-B" name of the problem Returns ------- + LSCPB object Examples -------- - >>> from spopt.locate.coverage import LSCPB, LSCP + + >>> from spopt.locate import LSCPB >>> from spopt.locate.util import simulated_geo_points + >>> import geopandas + >>> import numpy >>> import pulp >>> import spaghetti @@ -393,37 +493,58 @@ def from_cost_matrix( >>> lattice = spaghetti.regular_lattice((0, 0, 10, 10), 9, exterior=True) >>> ntw = spaghetti.Network(in_data=lattice) - >>> street = spaghetti.element_as_gdf(ntw, arcs=True) - >>> street_buffered = geopandas.GeoDataFrame( - ... geopandas.GeoSeries(street["geometry"].buffer(0.2).unary_union), - ... crs=street.crs, - ... columns=["geometry"]) + >>> streets = spaghetti.element_as_gdf(ntw, arcs=True) + >>> streets_buffered = geopandas.GeoDataFrame( + ... geopandas.GeoSeries(streets["geometry"].buffer(0.2).unary_union), + ... crs=streets.crs, + ... columns=["geometry"] + ... ) Simulate points belong to lattice - >>> demand_points = simulated_geo_points(street_buffered, needed=100, seed=5) - >>> facility_points = simulated_geo_points(street_buffered, needed=5, seed=6) + >>> demand_points = simulated_geo_points(streets_buffered, needed=100, seed=5) + >>> facility_points = simulated_geo_points(streets_buffered, needed=5, seed=6) Snap points to the network >>> ntw.snapobservations(demand_points, "clients", attribute=True) - >>> clients_snapped = spaghetti.element_as_gdf(ntw, pp_name="clients", snapped=True) + >>> clients_snapped = spaghetti.element_as_gdf( + ... ntw, pp_name="clients", snapped=True + ... ) >>> ntw.snapobservations(facility_points, "facilities", attribute=True) - >>> facilities_snapped = spaghetti.element_as_gdf(ntw, pp_name="facilities", snapped=True) + >>> facilities_snapped = spaghetti.element_as_gdf( + ... ntw, pp_name="facilities", snapped=True + ... ) Calculate the cost matrix >>> cost_matrix = ntw.allneighbordistances( - ... sourcepattern=ntw.pointpatterns["clients"], - ... destpattern=ntw.pointpatterns["facilities"]) + ... sourcepattern=ntw.pointpatterns["clients"], + ... destpattern=ntw.pointpatterns["facilities"] + ... ) Create LSCPB instance from cost matrix - >>> lscpb_from_cost_matrix = LSCPB.from_cost_matrix(cost_matrix, max_coverage=8, pulp.PULP_CBC_CMD(msg=False) - >>> lscpb_from_cost_matrix = lscpb_from_cost_matrix.solve(pulp.PULP_CBC_CMD(msg=False)) + >>> lscpb_from_cost_matrix = LSCPB.from_cost_matrix( + ... cost_matrix, service_radius=8, solver=pulp.PULP_CBC_CMD(msg=False) + ... ) + >>> lscpb_from_cost_matrix = lscpb_from_cost_matrix.solve() Get facility lookup demand coverage array - >>> lscpb_from_cost_matrix.fac2cli + >>> for fac, cli in enumerate(lscpb_from_cost_matrix.fac2cli): + ... print(f"facility {fac} serving {len(cli)} clients") + facility 0 serving 0 clients + facility 1 serving 63 clients + facility 2 serving 85 clients + facility 3 serving 92 clients + facility 4 serving 0 clients + + Get the percentage of clients covered by more than one facility. + + >>> round(lscpb_from_cost_matrix.backup_perc, 3) + 88.0 + + 88% of clients are covered by more than 1 facility """ if predefined_facilities_arr is not None: @@ -439,11 +560,11 @@ def from_cost_matrix( model = pulp.LpProblem(name, pulp.LpMaximize) - lscpb = LSCPB(name, model) + lscpb = LSCPB(name, model, solver) lscpb.lscp_obj_value = lscp.problem.objective.value() - FacilityModelBuilder.add_facility_integer_variable(lscpb, r_fac, "x[{i}]") - FacilityModelBuilder.add_client_integer_variable(lscpb, r_cli, "u[{i}]") + FacilityModelBuilder.add_facility_integer_variable(lscpb, r_fac, "y[{i}]") + FacilityModelBuilder.add_client_integer_variable(lscpb, r_cli, "x[{i}]") lscpb.aij = np.zeros(cost_matrix.shape) lscpb.aij[cost_matrix <= service_radius] = 1 @@ -477,11 +598,12 @@ def from_geodataframe( name: str = "LSCP-B", ): """ - Create a LSCPB object based on geodataframes. Calculate the cost matrix between demand and facility, - and then use from_cost_matrix method. + Create a LSCPB object based on geodataframes. Calculate the cost matrix + between demand and facility, and then use from_cost_matrix method. Parameters ---------- + gdf_demand: geopandas.GeoDataFrame demand geodataframe with point geometry gdf_fac: geopandas.GeoDataframe @@ -492,19 +614,29 @@ def from_geodataframe( facility candidate sites geometry column name service_radius: float maximum acceptable service distance by problem + solver: pulp.LpSolver + solver supported by pulp package + predefined_facility_col: str + Column name representing facilities are already defined. + Default is ``None``. distance_metric: str, default="euclidean" - metrics supported by :method: `scipy.spatial.distance.cdist` used for the distance calculations + metrics supported by :method: `scipy.spatial.distance.cdist` used for + the distance calculations name: str, default="LSCP" name of the problem Returns ------- + LSCPB object Examples -------- - >>> from spopt.locate.coverage import LSCB, LSCP + + >>> from spopt.locate import LSCPB >>> from spopt.locate.util import simulated_geo_points + >>> import geopandas + >>> import numpy >>> import pulp >>> import spaghetti @@ -512,34 +644,59 @@ def from_geodataframe( >>> lattice = spaghetti.regular_lattice((0, 0, 10, 10), 9, exterior=True) >>> ntw = spaghetti.Network(in_data=lattice) - >>> street = spaghetti.element_as_gdf(ntw, arcs=True) - >>> street_buffered = geopandas.GeoDataFrame( - ... geopandas.GeoSeries(street["geometry"].buffer(0.2).unary_union), - ... crs=street.crs, - ... columns=["geometry"]) + >>> streets = spaghetti.element_as_gdf(ntw, arcs=True) + >>> streets_buffered = geopandas.GeoDataFrame( + ... geopandas.GeoSeries(streets["geometry"].buffer(0.2).unary_union), + ... crs=streets.crs, + ... columns=["geometry"] + ... ) Simulate points belong to lattice - >>> demand_points = simulated_geo_points(street_buffered, needed=100, seed=5) - >>> facility_points = simulated_geo_points(street_buffered, needed=5, seed=6) + >>> demand_points = simulated_geo_points(streets_buffered, needed=100, seed=5) + >>> facility_points = simulated_geo_points(streets_buffered, needed=5, seed=6) Snap points to the network >>> ntw.snapobservations(demand_points, "clients", attribute=True) - >>> clients_snapped = spaghetti.element_as_gdf(ntw, pp_name="clients", snapped=True) + >>> clients_snapped = spaghetti.element_as_gdf( + ... ntw, pp_name="clients", snapped=True + ... ) >>> ntw.snapobservations(facility_points, "facilities", attribute=True) - >>> facilities_snapped = spaghetti.element_as_gdf(ntw, pp_name="facilities", snapped=True) + >>> facilities_snapped = spaghetti.element_as_gdf( + ... ntw, pp_name="facilities", snapped=True + ... ) + + Create LSCPB instance from geodataframe + + >>> lscpb_from_geodataframe = LSCPB.from_geodataframe( + ... clients_snapped, + ... facilities_snapped, + ... "geometry", + ... "geometry", + ... service_radius=8, + ... solver=pulp.PULP_CBC_CMD(msg=False), + ... distance_metric="euclidean" + ... ) + >>> lscpb_from_geodataframe = lscpb_from_geodataframe.solve() - Create LSCPB instance from cost matrix + Get facility lookup demand coverage array - >>> lscpb_from_geodataframe = LSCPB.from_geodataframe(clients_snapped, facilities_snapped, - ... "geometry", "geometry", - ... max_coverage=8, pulp.PULP_CBC_CMD(msg=False), distance_metric="euclidean") - >>> lscpb_from_geodataframe = lscpb_from_geodataframe.solve(pulp.PULP_CBC_CMD(msg=False)) + >>> for fac, cli in enumerate(lscpb_from_geodataframe.fac2cli): + ... print(f"facility {fac} serving {len(cli)} clients") + facility 0 serving 0 clients + facility 1 serving 0 clients + facility 2 serving 100 clients + facility 3 serving 0 clients + facility 4 serving 0 clients - Get facility lookup demand coverage array + Get the percentage of clients covered by more than one facility. + + >>> round(lscpb_from_geodataframe.backup_perc, 3) + 0.0 - >>> lscpb_from_geodataframe.fac2cli + All clients are covered by 1 facility because only one facility + is needed to solve the LSCP. """ @@ -582,11 +739,15 @@ def from_geodataframe( def facility_client_array(self) -> None: """ - Create an array 2d MxN, where m is number of facilities and n is number of clients. Each row represent a facility and has an array containing clients index meaning that the facility-i cover the entire array. + Create an array 2d MxN, where m is number of facilities and n is + number of clients. Each row represent a facility and has an array + containing clients index meaning that the facility-i cover the entire array. Returns ------- + None + """ fac_vars = getattr(self, "fac_vars") @@ -603,28 +764,30 @@ def facility_client_array(self) -> None: self.fac2cli.append(array_cli) - def solve(self, solver: pulp.LpSolver, results: bool = True): + def solve(self, results: bool = True): """ Solve the LSCPB model Parameters ---------- - solver: pulp.LpSolver - solver supported by pulp package results: bool - if True it will create metainfo - which facilities cover which demand and vice-versa, and the uncovered demand - about the model results + if True it will create metainfo - which facilities cover which demand + and vice-versa, and the uncovered demand - about the model results Returns ------- + LSCPB object + """ - self.problem.solve(solver) + self.problem.solve(self.solver) self.check_status() if results: self.facility_client_array() self.client_facility_array() + self.get_percentage() return self @@ -635,25 +798,34 @@ class MCLP(LocateSolver, BaseOutputMixin, CoveragePercentageMixin): Parameters ---------- + name: str Problem name problem: pulp.LpProblem - Pulp instance of optimization model that contains constraints, variables and objective function. + Pulp instance of optimization model that contains constraints, + variables and objective function. Attributes ---------- + name: str Problem name problem: pulp.LpProblem - Pulp instance of optimization model that contains constraints, variables and objective function. + Pulp instance of optimization model that contains constraints, + variables and objective function. fac2cli : np.array - 2-d array MxN, where m is number of facilities and n is number of clients. Each row represents a facility and has an array containing clients index meaning that the facility-i cover the entire array. + 2-d array MxN, where m is number of facilities and n is number of clients. + Each row represents a facility and has an array containing clients index + meaning that the facility-i cover the entire array. cli2fac: np.array - 2-d MxN, where m is number of clients and n is number of facilities. Each row represent a client and has an array containing facility index meaning that the client is covered by the facility ith. + 2-d MxN, where m is number of clients and n is number of facilities. + Each row represent a client and has an array containing facility index + meaning that the client is covered by the facility ith. aij: np.array Cost matrix 2-d array n_cli_uncov: int Specify how many clients points are not covered. + """ def __init__(self, name: str, problem: pulp.LpProblem): @@ -662,11 +834,14 @@ def __init__(self, name: str, problem: pulp.LpProblem): def __add_obj(self, weights: np.array, range_clients: range) -> None: """ Add objective function to model: + Maximize w1 * y1 + w2 * y2 + ... + wi * yi Returns ------- + None + """ dem_vars = getattr(self, "cli_vars") @@ -690,6 +865,7 @@ def from_cost_matrix( Parameters ---------- + cost_matrix: np.array two-dimensional distance array between facility points and demand point weights: np.array @@ -698,20 +874,24 @@ def from_cost_matrix( maximum acceptable service distance by problem p_facilities: int number of facilities to be located - predefined_facilities_arr: np.array, default=None - bool array defining which facilities are already defined + predefined_facilities_arr : numpy.array + Predefined facilities that must appear in the solution. + Default is ``None``. name: str, default="MCLP" name of the problem Returns ------- + MCLP object Examples -------- - >>> from spopt.locate.coverage import MCLP + >>> from spopt.locate import MCLP >>> from spopt.locate.util import simulated_geo_points + >>> import geopandas + >>> import numpy >>> import pulp >>> import spaghetti @@ -719,29 +899,35 @@ def from_cost_matrix( >>> lattice = spaghetti.regular_lattice((0, 0, 10, 10), 9, exterior=True) >>> ntw = spaghetti.Network(in_data=lattice) - >>> street = spaghetti.element_as_gdf(ntw, arcs=True) - >>> street_buffered = geopandas.GeoDataFrame( - ... geopandas.GeoSeries(street["geometry"].buffer(0.2).unary_union), - ... crs=street.crs, - ... columns=["geometry"]) + >>> streets = spaghetti.element_as_gdf(ntw, arcs=True) + >>> streets_buffered = geopandas.GeoDataFrame( + ... geopandas.GeoSeries(streets["geometry"].buffer(0.2).unary_union), + ... crs=streets.crs, + ... columns=["geometry"] + ... ) Simulate points belong to lattice - >>> demand_points = simulated_geo_points(street_buffered, needed=100, seed=5) - >>> facility_points = simulated_geo_points(street_buffered, needed=5, seed=6) + >>> demand_points = simulated_geo_points(streets_buffered, needed=100, seed=5) + >>> facility_points = simulated_geo_points(streets_buffered, needed=5, seed=6) Snap points to the network >>> ntw.snapobservations(demand_points, "clients", attribute=True) - >>> clients_snapped = spaghetti.element_as_gdf(ntw, pp_name="clients", snapped=True) + >>> clients_snapped = spaghetti.element_as_gdf( + ... ntw, pp_name="clients", snapped=True + ... ) >>> ntw.snapobservations(facility_points, "facilities", attribute=True) - >>> facilities_snapped = spaghetti.element_as_gdf(ntw, pp_name="facilities", snapped=True) + >>> facilities_snapped = spaghetti.element_as_gdf( + ... ntw, pp_name="facilities", snapped=True + ... ) Calculate the cost matrix >>> cost_matrix = ntw.allneighbordistances( ... sourcepattern=ntw.pointpatterns["clients"], - ... destpattern=ntw.pointpatterns["facilities"]) + ... destpattern=ntw.pointpatterns["facilities"] + ... ) Simulate demand weights from 1 to 12 @@ -749,13 +935,30 @@ def from_cost_matrix( Create MCLP instance from cost matrix - >>> mclp_from_cost_matrix = MCLP.from_cost_matrix(cost_matrix, ai, max_coverage=7, p_facilities=4) - >>> mclp_from_cost_matrix = mclp_from_cost_matrix.solve(pulp.PULP_CBC_CMD(msg=False)) + >>> mclp_from_cost_matrix = MCLP.from_cost_matrix( + ... cost_matrix, ai, service_radius=7, p_facilities=4 + ... ) + >>> mclp_from_cost_matrix = mclp_from_cost_matrix.solve( + ... pulp.PULP_CBC_CMD(msg=False) + ... ) Get facility lookup demand coverage array - >>> mclp_from_cost_matrix.facility_client_array() - >>> mclp_from_cost_matrix.fac2cli + >>> for fac, cli in enumerate(mclp_from_cost_matrix.fac2cli): + ... print(f"facility {fac} serving {len(cli)} clients") + facility 0 serving 44 clients + facility 1 serving 54 clients + facility 2 serving 75 clients + facility 3 serving 77 clients + facility 4 serving 0 clients + + Get number of clients uncovered and percentage covered + + >>> mclp_from_cost_matrix.n_cli_uncov + 1 + >>> mclp_from_cost_matrix.perc_cov + 99.0 + """ r_fac = range(cost_matrix.shape[1]) r_cli = range(cost_matrix.shape[0]) @@ -800,11 +1003,12 @@ def from_geodataframe( name: str = "MCLP", ): """ - Create a MCLP object based on geodataframes. Calculate the cost matrix between demand and facility, - and then use from_cost_matrix method. + Create a MCLP object based on geodataframes. Calculate the cost matrix + between demand and facility, and then use from_cost_matrix method. Parameters ---------- + gdf_demand: geopandas.GeoDataFrame demand geodataframe with point geometry gdf_fac: geopandas.GeoDataframe @@ -819,45 +1023,56 @@ def from_geodataframe( maximum acceptable service distance by problem p_facilities: int number of facilities to be located - predefined_facility_col: np.array, default=None - column name representing facilities are already defined + predefined_facility_col: str + Column name representing facilities are already defined. + Default is ``None``. distance_metric: str, default="euclidean" - metrics supported by :method: `scipy.spatial.distance.cdist` used for the distance calculations + metrics supported by :method: `scipy.spatial.distance.cdist` used for + the distance calculations name: str, default="MCLP" name of the problem Returns ------- + MCLP object Examples -------- - >>> from spopt.locate.coverage import MCLP + + >>> from spopt.locate import MCLP >>> from spopt.locate.util import simulated_geo_points + >>> import geopandas >>> import pulp + >>> import numpy >>> import spaghetti Create regular lattice >>> lattice = spaghetti.regular_lattice((0, 0, 10, 10), 9, exterior=True) >>> ntw = spaghetti.Network(in_data=lattice) - >>> street = spaghetti.element_as_gdf(ntw, arcs=True) - >>> street_buffered = geopandas.GeoDataFrame( - ... geopandas.GeoSeries(street["geometry"].buffer(0.2).unary_union), - ... crs=street.crs, - ... columns=["geometry"]) + >>> streets = spaghetti.element_as_gdf(ntw, arcs=True) + >>> streets_buffered = geopandas.GeoDataFrame( + ... geopandas.GeoSeries(streets["geometry"].buffer(0.2).unary_union), + ... crs=streets.crs, + ... columns=["geometry"] + ... ) Simulate points belong to lattice - >>> demand_points = simulated_geo_points(street_buffered, needed=100, seed=5) - >>> facility_points = simulated_geo_points(street_buffered, needed=5, seed=6) + >>> demand_points = simulated_geo_points(streets_buffered, needed=100, seed=5) + >>> facility_points = simulated_geo_points(streets_buffered, needed=5, seed=6) Snap points to the network >>> ntw.snapobservations(demand_points, "clients", attribute=True) - >>> clients_snapped = spaghetti.element_as_gdf(ntw, pp_name="clients", snapped=True) + >>> clients_snapped = spaghetti.element_as_gdf( + ... ntw, pp_name="clients", snapped=True + ... ) >>> ntw.snapobservations(facility_points, "facilities", attribute=True) - >>> facilities_snapped = spaghetti.element_as_gdf(ntw, pp_name="facilities", snapped=True) + >>> facilities_snapped = spaghetti.element_as_gdf( + ... ntw, pp_name="facilities", snapped=True + ... ) Simulate demand weights from 1 to 12 @@ -867,22 +1082,37 @@ def from_geodataframe( Create MCLP instance from geodataframe >>> mclp_from_geodataframe = MCLP.from_geodataframe( - ... clients_snapped, - ... facilities_snapped, - ... "geometry", - ... "geometry", - ... "weights", - ... max_coverage=7, - ... p_facilities=4, - ... distance_metric="euclidean" - ... ) - - >>> mclp_from_geodataframe = mclp_from_geodataframe.solve(pulp.PULP_CBC_CMD(msg=False)) + ... clients_snapped, + ... facilities_snapped, + ... "geometry", + ... "geometry", + ... "weights", + ... service_radius=7, + ... p_facilities=4, + ... distance_metric="euclidean" + ... ) + + >>> mclp_from_geodataframe = mclp_from_geodataframe.solve( + ... pulp.PULP_CBC_CMD(msg=False) + ... ) Get facility lookup demand coverage array - >>> mclp_from_geodataframe.facility_client_array() - >>> mclp_from_geodataframe.fac2cli + >>> for fac, cli in enumerate(mclp_from_geodataframe.fac2cli): + ... print(f"facility {fac} serving {len(cli)} clients") + facility 0 serving 63 clients + facility 1 serving 80 clients + facility 2 serving 96 clients + facility 3 serving 0 clients + facility 4 serving 58 clients + + Get number of clients uncovered and percentage covered + + >>> mclp_from_geodataframe.n_cli_uncov + 0 + >>> mclp_from_geodataframe.perc_cov + 100.0 + """ predefined_facilities_arr = None @@ -930,11 +1160,15 @@ def from_geodataframe( def facility_client_array(self) -> None: """ - Create an array 2d MxN, where m is number of facilities and n is number of clients. Each row represent a facility and has an array containing clients index meaning that the facility-i cover the entire array. + Create an array 2d MxN, where m is number of facilities and n is number of + clients. Each row represent a facility and has an array containing clients + index meaning that the facility-i cover the entire array. Returns ------- + None + """ fac_vars = getattr(self, "fac_vars") @@ -959,15 +1193,18 @@ def solve(self, solver: pulp.LpSolver, results: bool = True): Parameters ---------- + solver: pulp.LpSolver solver supported by pulp package - results: bool - if True it will create metainfo - which facilities cover which demand and vice-versa, and the uncovered demand - about the model results + if True it will create metainfo - which facilities cover which demand and + vice-versa, and the uncovered demand - about the model results Returns ------- + MCLP object + """ self.problem.solve(solver) self.check_status() @@ -976,4 +1213,5 @@ def solve(self, solver: pulp.LpSolver, results: bool = True): self.facility_client_array() self.client_facility_array() self.uncovered_clients() + self.get_percentage() return self diff --git a/spopt/locate/p_center.py b/spopt/locate/p_center.py index 024569bd..012f8827 100644 --- a/spopt/locate/p_center.py +++ b/spopt/locate/p_center.py @@ -15,23 +15,32 @@ class PCenter(LocateSolver, BaseOutputMixin): Parameters ---------- + name: str problem name problem: pulp.LpProblem - pulp instance of optimization model that contains constraints, variables and objective function. + pulp instance of optimization model that contains constraints, + variables and objective function. aij: np.array - two-dimensional array product of service load/population demand and distance matrix between facility and demand. + two-dimensional array product of service load/population demand and + distance matrix between facility and demand. Attributes ---------- + name: str Problem name problem: pulp.LpProblem - Pulp instance of optimization model that contains constraints, variables and objective function. + Pulp instance of optimization model that contains constraints, + variables and objective function. fac2cli : np.array - 2-d array MxN, where m is number of facilities and n is number of clients. Each row represents a facility and has an array containing clients index meaning that the facility-i cover the entire array. + 2-d array MxN, where m is number of facilities and n is number of clients. + Each row represents a facility and has an array containing clients index + meaning that the facility-i cover the entire array. cli2fac: np.array - 2-d MxN, where m is number of clients and n is number of facilities. Each row represent a client and has an array containing facility index meaning that the client is covered by the facility ith. + 2-d MxN, where m is number of clients and n is number of facilities. + Each row represent a client and has an array containing facility index + meaning that the client is covered by the facility ith. aij: np.array Cost matrix 2-d array @@ -45,11 +54,14 @@ def __init__(self, name: str, problem: pulp.LpProblem, aij: np.array): def __add_obj(self) -> None: """ Add objective function to the model: + Minimize W Returns ------- + None + """ weight = getattr(self, "weight_var") @@ -60,6 +72,7 @@ def from_cost_matrix( cls, cost_matrix: np.array, p_facilities: int, + predefined_facilities_arr: np.array = None, name: str = "p-center", ): """ @@ -67,15 +80,20 @@ def from_cost_matrix( Parameters ---------- + cost_matrix: np.array two-dimensional distance array between facility points and demand point p_facilities: int number of facilities to be located + predefined_facilities_arr : numpy.array + Predefined facilities that must appear in the solution. + Default is ``None``. name: str, default="p-center" name of the problem Returns ------- + PCenter object Examples @@ -83,6 +101,7 @@ def from_cost_matrix( >>> from spopt.locate import PCenter >>> from spopt.locate.util import simulated_geo_points + >>> import geopandas >>> import pulp >>> import spaghetti @@ -90,39 +109,54 @@ def from_cost_matrix( >>> lattice = spaghetti.regular_lattice((0, 0, 10, 10), 9, exterior=True) >>> ntw = spaghetti.Network(in_data=lattice) - >>> street = spaghetti.element_as_gdf(ntw, arcs=True) - >>> street_buffered = geopandas.GeoDataFrame( - ... geopandas.GeoSeries(street["geometry"].buffer(0.2).unary_union), - ... crs=street.crs, - ... columns=["geometry"]) + >>> streets = spaghetti.element_as_gdf(ntw, arcs=True) + >>> streets_buffered = geopandas.GeoDataFrame( + ... geopandas.GeoSeries(streets["geometry"].buffer(0.2).unary_union), + ... crs=streets.crs, + ... columns=["geometry"] + ... ) Simulate points belong to lattice - >>> demand_points = simulated_geo_points(street_buffered, needed=100, seed=5) - >>> facility_points = simulated_geo_points(street_buffered, needed=5, seed=6) + >>> demand_points = simulated_geo_points(streets_buffered, needed=100, seed=5) + >>> facility_points = simulated_geo_points(streets_buffered, needed=5, seed=6) Snap points to the network >>> ntw.snapobservations(demand_points, "clients", attribute=True) - >>> clients_snapped = spaghetti.element_as_gdf(ntw, pp_name="clients", snapped=True) + >>> clients_snapped = spaghetti.element_as_gdf( + ... ntw, pp_name="clients", snapped=True + ... ) >>> ntw.snapobservations(facility_points, "facilities", attribute=True) - >>> facilities_snapped = spaghetti.element_as_gdf(ntw, pp_name="facilities", snapped=True) + >>> facilities_snapped = spaghetti.element_as_gdf( + ... ntw, pp_name="facilities", snapped=True + ... ) Calculate the cost matrix >>> cost_matrix = ntw.allneighbordistances( ... sourcepattern=ntw.pointpatterns["clients"], - ... destpattern=ntw.pointpatterns["facilities"]) + ... destpattern=ntw.pointpatterns["facilities"] + ... ) Create PCenter instance from cost matrix - >>> pcenter_from_cost_matrix = PCenter.from_cost_matrix(cost_matrix, p_facilities=4) - >>> pcenter_from_cost_matrix = pcenter_from_cost_matrix.solve(pulp.PULP_CBC_CMD(msg=False)) + >>> pcenter_from_cost_matrix = PCenter.from_cost_matrix( + ... cost_matrix, p_facilities=4 + ... ) + >>> pcenter_from_cost_matrix = pcenter_from_cost_matrix.solve( + ... pulp.PULP_CBC_CMD(msg=False) + ... ) Get facility lookup demand coverage array - >>> pcenter_from_cost_matrix.facility_client_array() - >>> pcenter_from_cost_matrix.fac2cli + >>> for fac, cli in enumerate(pcenter_from_cost_matrix.fac2cli): + ... print(f"facility {fac} serving {len(cli)} clients") + facility 0 serving 15 clients + facility 1 serving 24 clients + facility 2 serving 33 clients + facility 3 serving 0 clients + facility 4 serving 28 clients """ r_cli = range(cost_matrix.shape[0]) @@ -138,6 +172,11 @@ def from_cost_matrix( ) FacilityModelBuilder.add_weight_continuous_variable(p_center) + if predefined_facilities_arr is not None: + FacilityModelBuilder.add_predefined_facility_constraint( + p_center, p_center.problem, predefined_facilities_arr + ) + p_center.__add_obj() FacilityModelBuilder.add_facility_constraint( @@ -163,15 +202,17 @@ def from_geodataframe( demand_col: str, facility_col: str, p_facilities: int, + predefined_facility_col: str = None, distance_metric: str = "euclidean", name: str = "p-center", ): """ - Create a PCenter object based on geodataframes. Calculate the cost matrix between demand and facility, - and then use from_cost_matrix method. + Create a PCenter object based on geodataframes. Calculate the cost + matrix between demand and facility, and then use from_cost_matrix method. Parameters ---------- + gdf_demand: geopandas.GeoDataFrame demand geodataframe with point geometry gdf_fac: geopandas.GeoDataframe @@ -182,19 +223,26 @@ def from_geodataframe( facility candidate sites geometry column name p_facilities: int number of facilities to be located + predefined_facility_col: str + Column name representing facilities are already defined. + Default is ``None``. distance_metric: str, default="euclidean" - metrics supported by :method: `scipy.spatial.distance.cdist` used for the distance calculations + metrics supported by :method: `scipy.spatial.distance.cdist` + used for the distance calculations name: str, default="p-median" name of the problem Returns ------- + PCenter object Examples -------- + >>> from spopt.locate import PCenter >>> from spopt.locate.util import simulated_geo_points + >>> import geopandas >>> import pulp >>> import spaghetti @@ -202,42 +250,59 @@ def from_geodataframe( >>> lattice = spaghetti.regular_lattice((0, 0, 10, 10), 9, exterior=True) >>> ntw = spaghetti.Network(in_data=lattice) - >>> street = spaghetti.element_as_gdf(ntw, arcs=True) - >>> street_buffered = geopandas.GeoDataFrame( - ... geopandas.GeoSeries(street["geometry"].buffer(0.2).unary_union), - ... crs=street.crs, - ... columns=["geometry"]) + >>> streets = spaghetti.element_as_gdf(ntw, arcs=True) + >>> streets_buffered = geopandas.GeoDataFrame( + ... geopandas.GeoSeries(streets["geometry"].buffer(0.2).unary_union), + ... crs=streets.crs, + ... columns=["geometry"] + ... ) Simulate points belong to lattice - >>> demand_points = simulated_geo_points(street_buffered, needed=100, seed=5) - >>> facility_points = simulated_geo_points(street_buffered, needed=5, seed=6) + >>> demand_points = simulated_geo_points(streets_buffered, needed=100, seed=5) + >>> facility_points = simulated_geo_points(streets_buffered, needed=5, seed=6) Snap points to the network >>> ntw.snapobservations(demand_points, "clients", attribute=True) - >>> clients_snapped = spaghetti.element_as_gdf(ntw, pp_name="clients", snapped=True) + >>> clients_snapped = spaghetti.element_as_gdf( + ... ntw, pp_name="clients", snapped=True + ... ) >>> ntw.snapobservations(facility_points, "facilities", attribute=True) - >>> facilities_snapped = spaghetti.element_as_gdf(ntw, pp_name="facilities", snapped=True) + >>> facilities_snapped = spaghetti.element_as_gdf( + ... ntw, pp_name="facilities", snapped=True + ... ) - Create PCenter instance from cost matrix + Create PCenter instance from geodataframe >>> pcenter_from_geodataframe = PCenter.from_geodataframe( - ... clients_snapped, - ... facilities_snapped, - ... "geometry", - ... "geometry", - ... p_facilities=P_FACILITIES, - ... distance_metric="euclidean" - ... ) - >>> pcenter_from_geodataframe = pcenter_from_geodataframe.solve(pulp.PULP_CBC_CMD(msg=False)) - - Get facility lookup demand coverage array + ... clients_snapped, + ... facilities_snapped, + ... "geometry", + ... "geometry", + ... p_facilities=4, + ... distance_metric="euclidean" + ... ) + >>> pcenter_from_geodataframe = pcenter_from_geodataframe.solve( + ... pulp.PULP_CBC_CMD(msg=False) + ... ) + + Get facility-client associations + + >>> for fac, cli in enumerate(pcenter_from_geodataframe.fac2cli): + ... print(f"facility {fac} serving {len(cli)} clients") + facility 0 serving 14 clients + facility 1 serving 26 clients + facility 2 serving 34 clients + facility 3 serving 0 clients + facility 4 serving 26 clients - >>> pcenter_from_geodataframe.facility_client_array() - >>> pcenter_from_geodataframe.fac2cli """ + predefined_facilities_arr = None + if predefined_facility_col is not None: + predefined_facilities_arr = gdf_fac[predefined_facility_col].to_numpy() + dem = gdf_demand[demand_col] fac = gdf_fac[facility_col] @@ -267,15 +332,21 @@ def from_geodataframe( distances = cdist(dem_data, fac_data, distance_metric) - return cls.from_cost_matrix(distances, p_facilities, name) + return cls.from_cost_matrix( + distances, p_facilities, predefined_facilities_arr, name + ) def facility_client_array(self) -> None: """ - Create an array 2d MxN, where m is number of facilities and n is number of clients. Each row represent a facility and has an array containing clients index meaning that the facility-i cover the entire array. + Create an array 2d MxN, where m is number of facilities and n is number of + clients. Each row represent a facility and has an array containing clients + index meaning that the facility-i cover the entire array. Returns ------- + None + """ fac_vars = getattr(self, "fac_vars") cli_vars = getattr(self, "cli_assgn_vars") @@ -298,15 +369,18 @@ def solve(self, solver: pulp.LpSolver, results: bool = True): Parameters ---------- + solver: pulp.LpSolver solver supported by pulp package - results: bool - if True it will create metainfo - which facilities cover which demand and vice-versa, and the uncovered demand - about the model results + if True it will create metainfo - which facilities cover which demand + and vice-versa, and the uncovered demand - about the model results Returns ------- + PCenter object + """ self.problem.solve(solver) self.check_status() diff --git a/spopt/locate/p_dispersion.py b/spopt/locate/p_dispersion.py index f9613ec4..63e49bf4 100644 --- a/spopt/locate/p_dispersion.py +++ b/spopt/locate/p_dispersion.py @@ -3,33 +3,34 @@ import pulp from geopandas import GeoDataFrame -from spopt.locate.base import ( - BaseOutputMixin, - LocateSolver, - FacilityModelBuilder, -) +from spopt.locate.base import LocateSolver, FacilityModelBuilder from scipy.spatial.distance import cdist import warnings -class PDispersion(LocateSolver, BaseOutputMixin): +class PDispersion(LocateSolver): """ PDispersion class implements the p-dispersion optimization model and solves it. Parameters ---------- + name: str Problem name problem: pulp.LpProblem - Pulp instance of an optimization model that contains constraints, variables and objective function. + Pulp instance of an optimization model that contains constraints, + variables and objective function. Attributes ---------- + name: str Problem name problem: pulp.LpProblem - Pulp instance of optimization model that contains constraints, variables and objective function. + Pulp instance of optimization model that contains constraints, + variables and objective function. + """ def __init__(self, name: str, problem: pulp.LpProblem, p_facilities: int): @@ -39,11 +40,14 @@ def __init__(self, name: str, problem: pulp.LpProblem, p_facilities: int): def __add_obj(self) -> None: """ Add objective function to model: + Maximize D Returns ------- + None + """ disperse = getattr(self, "disperse_var") @@ -62,21 +66,28 @@ def from_cost_matrix( Parameters ---------- + cost_matrix: np.array two-dimensional distance array between facility points. p_fac: int number of facilities to be located + predefined_facilities_arr : numpy.array + Predefined facilities that must appear in the solution. + Default is ``None``. name: str, default="P-Dispersion" name of the problem Returns ------- + PDispersion object Examples -------- + >>> from spopt.locate.p_dispersion import PDispersion >>> from spopt.locate.util import simulated_geo_points + >>> import geopandas >>> import pulp >>> import spaghetti @@ -84,30 +95,47 @@ def from_cost_matrix( >>> lattice = spaghetti.regular_lattice((0, 0, 10, 10), 9, exterior=True) >>> ntw = spaghetti.Network(in_data=lattice) - >>> street = spaghetti.element_as_gdf(ntw, arcs=True) - >>> street_buffered = geopandas.GeoDataFrame( - ... geopandas.GeoSeries(street["geometry"].buffer(0.2).unary_union), - ... crs=street.crs, - ... columns=["geometry"]) + >>> streets = spaghetti.element_as_gdf(ntw, arcs=True) + >>> streets_buffered = geopandas.GeoDataFrame( + ... geopandas.GeoSeries(streets["geometry"].buffer(0.2).unary_union), + ... crs=streets.crs, + ... columns=["geometry"] + ... ) Simulate points belong to lattice - >>> facility_points = simulated_geo_points(street_buffered, needed=5, seed=6) + >>> facility_points = simulated_geo_points(streets_buffered, needed=5, seed=6) Snap points to the network >>> ntw.snapobservations(facility_points, "facilities", attribute=True) - >>> facilities_snapped = spaghetti.element_as_gdf(ntw, pp_name="facilities", snapped=True) + >>> facilities_snapped = spaghetti.element_as_gdf( + ... ntw, pp_name="facilities", snapped=True + ... ) Calculate the cost matrix + >>> cost_matrix = ntw.allneighbordistances( ... sourcepattern=ntw.pointpatterns["facilities"], - ... destpattern=ntw.pointpatterns["facilities"]) + ... destpattern=ntw.pointpatterns["facilities"] + ... ) Create PDispersion instance from cost matrix - >>> p_dispersion_from_cost_matrix = PDispersion.from_cost_matrix(cost_matrix, p_fac = 2) - >>> p_dispersion_from_cost_matrix = PDispersion_from_cost_matrix.solve(pulp.PULP_CBC_CMD(msg=False)) + >>> pdispersion_from_cost_matrix = PDispersion.from_cost_matrix( + ... cost_matrix, p_fac=2 + ... ) + >>> pdispersion_from_cost_matrix = pdispersion_from_cost_matrix.solve( + ... pulp.PULP_CBC_CMD(msg=False) + ... ) + + Examine the solution + + >>> for dv in pdispersion_from_cost_matrix.fac_vars: + ... if dv.varValue: + ... print(f"facility {dv.name} is selected") + facility y_0_ is selected + facility y_1_ is selected """ @@ -149,30 +177,38 @@ def from_geodataframe( name: str = "P-Dispersion", ): """ - Create a PDispersion object based on a geodataframe. Calculate the cost matrix between facilities, - and then use the from_cost_matrix method. + Create a PDispersion object based on a geodataframe. Calculate the + cost matrix between facilities, and then use the from_cost_matrix method. Parameters ---------- + gdf_fac: geopandas.GeoDataframe facility geodataframe with point geometry facility_col: str facility candidate sites geometry column name p_fac: int number of facilities to be located + predefined_facility_col: str + Column name representing facilities are already defined. + Default is ``None``. distance_metric: str, default="euclidean" - metrics supported by :method: `scipy.spatial.distance.cdist` used for the distance calculations + metrics supported by :method: `scipy.spatial.distance.cdist` + used for the distance calculations name: str, default="P-Dispersion" name of the problem Returns ------- + PDispersion object Examples -------- + >>> from spopt.locate.p_dispersion import PDispersion >>> from spopt.locate.util import simulated_geo_points + >>> import geopandas >>> import pulp >>> import spaghetti @@ -180,28 +216,43 @@ def from_geodataframe( >>> lattice = spaghetti.regular_lattice((0, 0, 10, 10), 9, exterior=True) >>> ntw = spaghetti.Network(in_data=lattice) - >>> street = spaghetti.element_as_gdf(ntw, arcs=True) - >>> street_buffered = geopandas.GeoDataFrame( - ... geopandas.GeoSeries(street["geometry"].buffer(0.2).unary_union), - ... crs=street.crs, - ... columns=["geometry"]) + >>> streets = spaghetti.element_as_gdf(ntw, arcs=True) + >>> streets_buffered = geopandas.GeoDataFrame( + ... geopandas.GeoSeries(streets["geometry"].buffer(0.2).unary_union), + ... crs=streets.crs, + ... columns=["geometry"] + ... ) Simulate points belong to lattice - >>> facility_points = simulated_geo_points(street_buffered, needed=5, seed=6) + >>> facility_points = simulated_geo_points(streets_buffered, needed=5, seed=6) Snap points to the network >>> ntw.snapobservations(facility_points, "facilities", attribute=True) - >>> facilities_snapped = spaghetti.element_as_gdf(ntw, pp_name="facilities", snapped=True) - - Create PDispersion instance from cost matrix - - >>> pDispersion_from_geodataframe = PDispersion.from_geodataframe(facilities_snapped, - ... "geometry", - ... p_fac = 2, - ... distance_metric="euclidean") - >>> pDispersion_from_geodataframe = pDispersion_from_geodataframe.solve(pulp.PULP_CBC_CMD(msg=False)) + >>> facilities_snapped = spaghetti.element_as_gdf( + ... ntw, pp_name="facilities", snapped=True + ... ) + + Create PDispersion instance from geodataframe + + >>> pdispersion_from_geodataframe = PDispersion.from_geodataframe( + ... facilities_snapped, + ... "geometry", + ... p_fac=2, + ... distance_metric="euclidean" + ... ) + >>> pdispersion_from_geodataframe = pdispersion_from_geodataframe.solve( + ... pulp.PULP_CBC_CMD(msg=False) + ... ) + + Examine the solution + + >>> for dv in pdispersion_from_geodataframe.fac_vars: + ... if dv.varValue: + ... print(f"facility {dv.name} is selected") + facility y_0_ is selected + facility y_1_ is selected """ @@ -236,15 +287,17 @@ def solve(self, solver: pulp.LpSolver, results: bool = True): Parameters ---------- + solver: pulp.LpSolver solver supported by pulp package - results: bool if True it will create metainfo about the model results Returns ------- + PDispersion object + """ self.problem.solve(solver) self.check_status() diff --git a/spopt/locate/p_median.py b/spopt/locate/p_median.py index 1227c911..7421aa3f 100644 --- a/spopt/locate/p_median.py +++ b/spopt/locate/p_median.py @@ -11,6 +11,7 @@ ) from scipy.spatial.distance import cdist +from typing import Union import warnings @@ -20,40 +21,58 @@ class PMedian(LocateSolver, BaseOutputMixin, MeanDistanceMixin): Parameters ---------- + name: str problem name problem: pulp.LpProblem - pulp instance of optimization model that contains constraints, variables and objective function. + pulp instance of optimization model that contains constraints, + variables and objective function. aij: np.array - two-dimensional array product of service load/population demand and distance matrix between facility and demand. + two-dimensional array product of service load/population demand and distance + matrix between facility and demand. Attributes ---------- + name: str Problem name problem: pulp.LpProblem - Pulp instance of optimization model that contains constraints, variables and objective function. + Pulp instance of optimization model that contains constraints, + variables and objective function. fac2cli : np.array - 2-d array MxN, where m is number of facilities and n is number of clients. Each row represents a facility and has an array containing clients index meaning that the facility-i cover the entire array. + 2-d array MxN, where m is number of facilities and n is number of clients. + Each row represents a facility and has an array containing clients index + meaning that the facility-i cover the entire array. cli2fac: np.array - 2-d MxN, where m is number of clients and n is number of facilities. Each row represent a client and has an array containing facility index meaning that the client is covered by the facility ith. + 2-d MxN, where m is number of clients and n is number of facilities. + Each row represent a client and has an array containing facility index + meaning that the client is covered by the facility ith. aij: np.array Cost matrix 2-d array """ - def __init__(self, name: str, problem: pulp.LpProblem, aij: np.array): + def __init__( + self, + name: str, + problem: pulp.LpProblem, + aij: np.array, + weights_sum: Union[int, float], + ): self.aij = aij + self.ai_sum = weights_sum self.name = name self.problem = problem def __add_obj(self, range_clients: range, range_facility: range) -> None: """ Add objective function to model + Minimize s1_1 * z1_1 + s1_2 * z1_2 + ... + si_j * zi_j Parameters ---------- + range_clients: range range of demand points quantity range_facility: range @@ -61,7 +80,9 @@ def __add_obj(self, range_clients: range, range_facility: range) -> None: Returns ------- + None + """ cli_assgn_vars = getattr(self, "cli_assgn_vars") @@ -82,6 +103,7 @@ def from_cost_matrix( cost_matrix: np.array, weights: np.array, p_facilities: int, + predefined_facilities_arr: np.array = None, name: str = "p-median", ): """ @@ -89,17 +111,22 @@ def from_cost_matrix( Parameters ---------- + cost_matrix: np.array two-dimensional distance array between facility points and demand point weights: np.array one-dimensional service load or population demand p_facilities: int number of facilities to be located + predefined_facilities_arr : numpy.array + Predefined facilities that must appear in the solution. + Default is ``None``. name: str, default="p-median" name of the problem Returns ------- + PMedian object Examples @@ -107,6 +134,8 @@ def from_cost_matrix( >>> from spopt.locate import PMedian >>> from spopt.locate.util import simulated_geo_points + >>> import geopandas + >>> import numpy >>> import pulp >>> import spaghetti @@ -114,29 +143,35 @@ def from_cost_matrix( >>> lattice = spaghetti.regular_lattice((0, 0, 10, 10), 9, exterior=True) >>> ntw = spaghetti.Network(in_data=lattice) - >>> street = spaghetti.element_as_gdf(ntw, arcs=True) - >>> street_buffered = geopandas.GeoDataFrame( - ... geopandas.GeoSeries(street["geometry"].buffer(0.2).unary_union), - ... crs=street.crs, - ... columns=["geometry"]) + >>> streets = spaghetti.element_as_gdf(ntw, arcs=True) + >>> streets_buffered = geopandas.GeoDataFrame( + ... geopandas.GeoSeries(streets["geometry"].buffer(0.2).unary_union), + ... crs=streets.crs, + ... columns=["geometry"] + ... ) Simulate points belong to lattice - >>> demand_points = simulated_geo_points(street_buffered, needed=100, seed=5) - >>> facility_points = simulated_geo_points(street_buffered, needed=5, seed=6) + >>> demand_points = simulated_geo_points(streets_buffered, needed=100, seed=5) + >>> facility_points = simulated_geo_points(streets_buffered, needed=5, seed=6) Snap points to the network >>> ntw.snapobservations(demand_points, "clients", attribute=True) - >>> clients_snapped = spaghetti.element_as_gdf(ntw, pp_name="clients", snapped=True) + >>> clients_snapped = spaghetti.element_as_gdf( + ... ntw, pp_name="clients", snapped=True + ... ) >>> ntw.snapobservations(facility_points, "facilities", attribute=True) - >>> facilities_snapped = spaghetti.element_as_gdf(ntw, pp_name="facilities", snapped=True) + >>> facilities_snapped = spaghetti.element_as_gdf( + ... ntw, pp_name="facilities", snapped=True + ... ) Calculate the cost matrix >>> cost_matrix = ntw.allneighbordistances( ... sourcepattern=ntw.pointpatterns["clients"], - ... destpattern=ntw.pointpatterns["facilities"]) + ... destpattern=ntw.pointpatterns["facilities"] + ... ) Simulate demand weights from 1 to 12 @@ -144,29 +179,52 @@ def from_cost_matrix( Create PMedian instance from cost matrix - >>> pmedian_from_cost_matrix = PMedian.from_cost_matrix(cost_matrix, ai, p_facilities=4) - >>> pmedian_from_cost_matrix = pmedian_from_cost_matrix.solve(pulp.PULP_CBC_CMD(msg=False)) + >>> pmedian_from_cost_matrix = PMedian.from_cost_matrix( + ... cost_matrix, ai, p_facilities=4 + ... ) + >>> pmedian_from_cost_matrix = pmedian_from_cost_matrix.solve( + ... pulp.PULP_CBC_CMD(msg=False) + ... ) + + Get facility-client associations - Get facility lookup demand coverage array + >>> for fac, cli in enumerate(pmedian_from_cost_matrix.fac2cli): + ... print(f"facility {fac} serving {len(cli)} clients") + facility 0 serving 14 clients + facility 1 serving 29 clients + facility 2 serving 31 clients + facility 3 serving 0 clients + facility 4 serving 26 clients + + Get the total and average weighted travel cost. + + >>> round(pmedian_from_cost_matrix.problem.objective.value(), 3) + 1870.747 + >>> round(pmedian_from_cost_matrix.mean_dist, 3) + 3.027 - >>> pmedian_from_cost_matrix.facility_client_array() - >>> pmedian_from_cost_matrix.fac2cli """ r_cli = range(cost_matrix.shape[0]) r_fac = range(cost_matrix.shape[1]) model = pulp.LpProblem(name, pulp.LpMinimize) + weights_sum = weights.sum() weights = np.reshape(weights, (cost_matrix.shape[0], 1)) aij = weights * cost_matrix - p_median = PMedian(name, model, aij) + p_median = PMedian(name, model, aij, weights_sum) FacilityModelBuilder.add_facility_integer_variable(p_median, r_fac, "y[{i}]") FacilityModelBuilder.add_client_assign_integer_variable( p_median, r_cli, r_fac, "z[{i}_{j}]" ) + if predefined_facilities_arr is not None: + FacilityModelBuilder.add_predefined_facility_constraint( + p_median, p_median.problem, predefined_facilities_arr + ) + p_median.__add_obj(r_cli, r_fac) FacilityModelBuilder.add_facility_constraint( @@ -190,15 +248,17 @@ def from_geodataframe( facility_col: str, weights_cols: str, p_facilities: int, + predefined_facility_col: str = None, distance_metric: str = "euclidean", name: str = "p-median", ): """ - Create a PMedian object based on geodataframes. Calculate the cost matrix between demand and facility, - and then use from_cost_matrix method. + Create a PMedian object based on geodataframes. Calculate the + cost matrix between demand and facility, and then use from_cost_matrix method. Parameters ---------- + gdf_demand: geopandas.GeoDataFrame demand geodataframe with point geometry gdf_fac: geopandas.GeoDataframe @@ -211,13 +271,18 @@ def from_geodataframe( weight column name representing service load or demand p_facilities: int number of facilities to be located + predefined_facility_col: str + Column name representing facilities are already defined. + Default is ``None``. distance_metric: str, default="euclidean" - metrics supported by :method: `scipy.spatial.distance.cdist` used for the distance calculations + metrics supported by :method: `scipy.spatial.distance.cdist` + used for the distance calculations name: str, default="p-median" name of the problem Returns ------- + PMedian object Examples @@ -225,6 +290,8 @@ def from_geodataframe( >>> from spopt.locate import PMedian >>> from spopt.locate.util import simulated_geo_points + >>> import geopandas + >>> import numpy >>> import pulp >>> import spaghetti @@ -232,23 +299,28 @@ def from_geodataframe( >>> lattice = spaghetti.regular_lattice((0, 0, 10, 10), 9, exterior=True) >>> ntw = spaghetti.Network(in_data=lattice) - >>> street = spaghetti.element_as_gdf(ntw, arcs=True) - >>> street_buffered = geopandas.GeoDataFrame( - ... geopandas.GeoSeries(street["geometry"].buffer(0.2).unary_union), - ... crs=street.crs, - ... columns=["geometry"]) + >>> streets = spaghetti.element_as_gdf(ntw, arcs=True) + >>> streets_buffered = geopandas.GeoDataFrame( + ... geopandas.GeoSeries(streets["geometry"].buffer(0.2).unary_union), + ... crs=streets.crs, + ... columns=["geometry"] + ... ) Simulate points belong to lattice - >>> demand_points = simulated_geo_points(street_buffered, needed=100, seed=5) - >>> facility_points = simulated_geo_points(street_buffered, needed=5, seed=6) + >>> demand_points = simulated_geo_points(streets_buffered, needed=100, seed=5) + >>> facility_points = simulated_geo_points(streets_buffered, needed=5, seed=6) Snap points to the network >>> ntw.snapobservations(demand_points, "clients", attribute=True) - >>> clients_snapped = spaghetti.element_as_gdf(ntw, pp_name="clients", snapped=True) + >>> clients_snapped = spaghetti.element_as_gdf( + ... ntw, pp_name="clients", snapped=True + ... ) >>> ntw.snapobservations(facility_points, "facilities", attribute=True) - >>> facilities_snapped = spaghetti.element_as_gdf(ntw, pp_name="facilities", snapped=True) + >>> facilities_snapped = spaghetti.element_as_gdf( + ... ntw, pp_name="facilities", snapped=True + ... ) Simulate demand weights from 1 to 12 @@ -258,21 +330,34 @@ def from_geodataframe( Create PMedian instance from cost matrix >>> pmedian_from_geodataframe = PMedian.from_geodataframe( - ... clients_snapped, - ... facilities_snapped, - ... "geometry", - ... "geometry", - ... "weights", - ... p_facilities=P_FACILITIES, - ... distance_metric="euclidean") - >>> pmedian_from_geodataframe = pmedian_from_geodataframe.solve(pulp.PULP_CBC_CMD(msg=False)) - - Get facility lookup demand coverage array - - >>> pmedian_from_geodataframe.facility_client_array() - >>> pmedian_from_geodataframe.fac2cli + ... clients_snapped, + ... facilities_snapped, + ... "geometry", + ... "geometry", + ... "weights", + ... p_facilities=4, + ... distance_metric="euclidean" + ... ) + >>> pmedian_from_geodataframe = pmedian_from_geodataframe.solve( + ... pulp.PULP_CBC_CMD(msg=False) + ... ) + + Get facility-client associations + + >>> for fac, cli in enumerate(pmedian_from_geodataframe.fac2cli): + ... print(f"facility {fac} serving {len(cli)} clients") + facility 0 serving 13 clients + facility 1 serving 29 clients + facility 2 serving 31 clients + facility 3 serving 0 clients + facility 4 serving 27 clients + """ + predefined_facilities_arr = None + if predefined_facility_col is not None: + predefined_facilities_arr = gdf_fac[predefined_facility_col].to_numpy() + service_load = gdf_demand[weights_cols].to_numpy() dem = gdf_demand[demand_col] fac = gdf_fac[facility_col] @@ -303,15 +388,21 @@ def from_geodataframe( distances = cdist(dem_data, fac_data, distance_metric) - return cls.from_cost_matrix(distances, service_load, p_facilities, name) + return cls.from_cost_matrix( + distances, service_load, p_facilities, predefined_facilities_arr, name + ) def facility_client_array(self) -> None: """ - Create an array 2d MxN, where m is number of facilities and n is number of clients. Each row represent a facility and has an array containing clients index meaning that the facility-i cover the entire array. + Create an array 2d MxN, where m is number of facilities and n is + number of clients. Each row represent a facility and has an array + containing clients index meaning that the facility-i cover the entire array. Returns ------- + None + """ fac_vars = getattr(self, "fac_vars") cli_vars = getattr(self, "cli_assgn_vars") @@ -334,15 +425,18 @@ def solve(self, solver: pulp.LpSolver, results: bool = True): Parameters ---------- + solver: pulp.LpSolver solver supported by pulp package - results: bool - if True it will create metainfo - which facilities cover which demand and vice-versa, and the uncovered demand - about the model results + if True it will create metainfo - which facilities cover which demand + and vice-versa, and the uncovered demand - about the model results Returns ------- + PMedian object + """ self.problem.solve(solver) self.check_status() @@ -350,5 +444,6 @@ def solve(self, solver: pulp.LpSolver, results: bool = True): if results: self.facility_client_array() self.client_facility_array() + self.get_mean_distance() return self diff --git a/spopt/locate/util.py b/spopt/locate/util.py index e929c3e7..678b4532 100644 --- a/spopt/locate/util.py +++ b/spopt/locate/util.py @@ -12,8 +12,12 @@ def simulated_geo_points( """ Simulate points within an area. + This function will wrap a random spatial generator in geopandas once merged. + See https://github.com/geopandas/geopandas/pull/2363 + Parameters ---------- + in_data : geopandas.GeoDataFrame, shapely.geometry.{Polygon, MultiPolygon} The areal unit in which to generate points. needed : int @@ -23,11 +27,13 @@ def simulated_geo_points( Returns ------- + sim_pts : geopandas.GeoDataFrame The resultant simulated points within ``in_data``. Examples -------- + >>> import spaghetti >>> from spopt.locate.util import simulated_geo_points diff --git a/spopt/tests/test_locate.py b/spopt/tests/test_locate.py index 74959785..8938f85b 100644 --- a/spopt/tests/test_locate.py +++ b/spopt/tests/test_locate.py @@ -70,13 +70,22 @@ def test_lscp_from_cost_matrix(self): result = lscp.solve(pulp.PULP_CBC_CMD(msg=False)) assert isinstance(result, LSCP) + def test_lscp_from_cost_matrix_no_results(self): + lscp = LSCP.from_cost_matrix(self.cost_matrix, 10) + result = lscp.solve(pulp.PULP_CBC_CMD(msg=False), results=False) + assert isinstance(result, LSCP) + + with pytest.raises(AttributeError): + result.cli2fac + with pytest.raises(AttributeError): + result.fac2cli + def test_lscp_facility_client_array_from_cost_matrix(self): with open(self.dirpath + "lscp_fac2cli.pkl", "rb") as f: lscp_objective = pickle.load(f) lscp = LSCP.from_cost_matrix(self.cost_matrix, 8) lscp = lscp.solve(pulp.PULP_CBC_CMD(msg=False)) - lscp.facility_client_array() numpy.testing.assert_array_equal( numpy.array(lscp.fac2cli, dtype=object), @@ -89,8 +98,6 @@ def test_lscp_client_facility_array_from_cost_matrix(self): lscp = LSCP.from_cost_matrix(self.cost_matrix, 8) lscp = lscp.solve(pulp.PULP_CBC_CMD(msg=False)) - lscp.facility_client_array() - lscp.client_facility_array() numpy.testing.assert_array_equal( numpy.array(lscp.cli2fac, dtype=object), @@ -116,7 +123,6 @@ def test_lscp_facility_client_array_from_geodataframe(self): 8, ) lscp = lscp.solve(pulp.PULP_CBC_CMD(msg=False)) - lscp.facility_client_array() numpy.testing.assert_array_equal( numpy.array(lscp.fac2cli, dtype=object), @@ -135,8 +141,6 @@ def test_lscp_client_facility_array_from_geodataframe(self): 8, ) lscp = lscp.solve(pulp.PULP_CBC_CMD(msg=False)) - lscp.facility_client_array() - lscp.client_facility_array() numpy.testing.assert_array_equal( numpy.array(lscp.cli2fac, dtype=object), @@ -162,7 +166,6 @@ def test_lscp_preselected_facility_client_array_from_geodataframe(self): service_radius=8, ) lscp = lscp.solve(pulp.PULP_CBC_CMD(msg=False, warmStart=True)) - lscp.facility_client_array() numpy.testing.assert_array_equal( numpy.array(lscp.fac2cli, dtype=object), @@ -173,9 +176,29 @@ def test_mclp_from_cost_matrix(self): mclp = MCLP.from_cost_matrix( self.cost_matrix, self.ai, service_radius=7, p_facilities=4 ) - result = mclp.solve(pulp.PULP_CBC_CMD(msg=False)) + result = mclp.solve(pulp.PULP_CBC_CMD(msg=False), results=True) + + assert isinstance(result, MCLP) + assert result.n_cli_uncov == 1 + assert result.perc_cov == 99.0 + + def test_mclp_from_cost_matrix_no_results(self): + mclp = MCLP.from_cost_matrix( + self.cost_matrix, self.ai, service_radius=7, p_facilities=4 + ) + result = mclp.solve(pulp.PULP_CBC_CMD(msg=False), results=False) + assert isinstance(result, MCLP) + with pytest.raises(AttributeError): + result.cli2fac + with pytest.raises(AttributeError): + result.fac2cli + with pytest.raises(AttributeError): + result.n_cli_uncov + with pytest.raises(AttributeError): + result.perc_cov + def test_mclp_facility_client_array_from_cost_matrix(self): with open(self.dirpath + "mclp_fac2cli.pkl", "rb") as f: mclp_objective = pickle.load(f) @@ -187,7 +210,6 @@ def test_mclp_facility_client_array_from_cost_matrix(self): p_facilities=4, ) mclp = mclp.solve(pulp.PULP_CBC_CMD(msg=False)) - mclp.facility_client_array() numpy.testing.assert_array_equal( numpy.array(mclp.fac2cli, dtype=object), @@ -205,8 +227,6 @@ def test_mclp_client_facility_array_from_cost_matrix(self): p_facilities=4, ) mclp = mclp.solve(pulp.PULP_CBC_CMD(msg=False)) - mclp.facility_client_array() - mclp.client_facility_array() numpy.testing.assert_array_equal( numpy.array(mclp.cli2fac, dtype=object), @@ -241,7 +261,6 @@ def test_mclp_facility_client_array_from_geodataframe(self): p_facilities=4, ) mclp = mclp.solve(pulp.PULP_CBC_CMD(msg=False)) - mclp.facility_client_array() numpy.testing.assert_array_equal( numpy.array(mclp.fac2cli, dtype=object), @@ -269,7 +288,6 @@ def test_mclp_preselected_facility_client_array_from_geodataframe(self): p_facilities=4, ) mclp = mclp.solve(pulp.PULP_CBC_CMD(msg=False, warmStart=True)) - mclp.facility_client_array() numpy.testing.assert_array_equal( numpy.array(mclp.fac2cli, dtype=object), @@ -290,8 +308,6 @@ def test_mclp_client_facility_array_from_geodataframe(self): p_facilities=4, ) mclp = mclp.solve(pulp.PULP_CBC_CMD(msg=False)) - mclp.facility_client_array() - mclp.client_facility_array() numpy.testing.assert_array_equal( numpy.array(mclp.cli2fac, dtype=object), @@ -303,13 +319,24 @@ def test_p_median_from_cost_matrix(self): result = p_median.solve(pulp.PULP_CBC_CMD(msg=False)) assert isinstance(result, PMedian) + def test_p_median_from_cost_matrix_no_results(self): + p_median = PMedian.from_cost_matrix(self.cost_matrix, self.ai, p_facilities=4) + result = p_median.solve(pulp.PULP_CBC_CMD(msg=False), results=False) + assert isinstance(result, PMedian) + + with pytest.raises(AttributeError): + result.cli2fac + with pytest.raises(AttributeError): + result.fac2cli + with pytest.raises(AttributeError): + result.mean_dist + def test_pmedian_facility_client_array_from_cost_matrix(self): with open(self.dirpath + "pmedian_fac2cli.pkl", "rb") as f: pmedian_objective = pickle.load(f) pmedian = PMedian.from_cost_matrix(self.cost_matrix, self.ai, p_facilities=4) pmedian = pmedian.solve(pulp.PULP_CBC_CMD(msg=False)) - pmedian.facility_client_array() numpy.testing.assert_array_equal( numpy.array(pmedian.fac2cli, dtype=object), @@ -322,8 +349,6 @@ def test_pmedian_client_facility_array_from_cost_matrix(self): pmedian = PMedian.from_cost_matrix(self.cost_matrix, self.ai, p_facilities=4) pmedian = pmedian.solve(pulp.PULP_CBC_CMD(msg=False)) - pmedian.facility_client_array() - pmedian.client_facility_array() numpy.testing.assert_array_equal( numpy.array(pmedian.cli2fac, dtype=object), @@ -355,7 +380,6 @@ def test_pmedian_facility_client_array_from_geodataframe(self): p_facilities=4, ) pmedian = pmedian.solve(pulp.PULP_CBC_CMD(msg=False)) - pmedian.facility_client_array() numpy.testing.assert_array_equal( numpy.array(pmedian.fac2cli, dtype=object), @@ -375,26 +399,65 @@ def test_pmedian_client_facility_array_from_geodataframe(self): p_facilities=4, ) pmedian = pmedian.solve(pulp.PULP_CBC_CMD(msg=False)) - pmedian.facility_client_array() - pmedian.client_facility_array() numpy.testing.assert_array_equal( numpy.array(pmedian.cli2fac, dtype=object), numpy.array(pmedian_objective, dtype=object), ) + def test_pmedian_preselected_facility_client_array_from_geodataframe(self): + + known_objval = 1872.5093264630818 + known_mean = 3.0299503664451164 + known_solution_set = ["y_1_", "y_3_", "y_4_"] + + fac_snapped = self.facilities_snapped.copy() + fac_snapped["predefined_loc"] = numpy.array([0, 0, 0, 1, 1]) + + pmedian = PMedian.from_geodataframe( + self.clients_snapped, + fac_snapped, + "geometry", + "geometry", + "weights", + predefined_facility_col="predefined_loc", + p_facilities=3, + ) + pmedian = pmedian.solve(pulp.PULP_CBC_CMD(msg=False, warmStart=True)) + + observed_objval = pmedian.problem.objective.value() + assert known_objval == pytest.approx(observed_objval) + + observed_mean = pmedian.mean_dist + assert known_mean == pytest.approx(observed_mean) + + observed_solution_set = [dv.name for dv in pmedian.fac_vars if dv.varValue == 1] + numpy.testing.assert_array_equal( + numpy.array(known_solution_set, dtype=object), + numpy.array(observed_solution_set, dtype=object), + ) + def test_p_center_from_cost_matrix(self): p_center = PCenter.from_cost_matrix(self.cost_matrix, p_facilities=4) result = p_center.solve(pulp.PULP_CBC_CMD(msg=False)) assert isinstance(result, PCenter) + def test_p_center_from_cost_matrix_no_results(self): + p_center = PCenter.from_cost_matrix(self.cost_matrix, p_facilities=4) + result = p_center.solve(pulp.PULP_CBC_CMD(msg=False), results=False) + assert isinstance(result, PCenter) + + with pytest.raises(AttributeError): + result.cli2fac + with pytest.raises(AttributeError): + result.fac2cli + def test_pcenter_facility_client_array_from_cost_matrix(self): with open(self.dirpath + "pcenter_fac2cli.pkl", "rb") as f: pcenter_objective = pickle.load(f) pcenter = PCenter.from_cost_matrix(self.cost_matrix, p_facilities=4) pcenter = pcenter.solve(pulp.PULP_CBC_CMD(msg=False)) - pcenter.facility_client_array() numpy.testing.assert_array_equal( numpy.array(pcenter.fac2cli, dtype=object), @@ -407,8 +470,6 @@ def test_pcenter_client_facility_array_from_cost_matrix(self): pcenter = PCenter.from_cost_matrix(self.cost_matrix, p_facilities=4) pcenter = pcenter.solve(pulp.PULP_CBC_CMD(msg=False)) - pcenter.facility_client_array() - pcenter.client_facility_array() numpy.testing.assert_array_equal( numpy.array(pcenter.cli2fac, dtype=object), @@ -438,7 +499,6 @@ def test_pcenter_facility_client_array_from_geodataframe(self): p_facilities=4, ) pcenter = pcenter.solve(pulp.PULP_CBC_CMD(msg=False)) - pcenter.facility_client_array() numpy.testing.assert_array_equal( numpy.array(pcenter.fac2cli, dtype=object), @@ -454,17 +514,42 @@ def test_pcenter_client_facility_array_from_geodataframe(self): self.facilities_snapped, "geometry", "geometry", - p_facilities=4, + 4, ) pcenter = pcenter.solve(pulp.PULP_CBC_CMD(msg=False)) - pcenter.facility_client_array() - pcenter.client_facility_array() numpy.testing.assert_array_equal( numpy.array(pcenter.cli2fac, dtype=object), numpy.array(pcenter_objective, dtype=object), ) + def test_pcenter_preselected_facility_client_array_from_geodataframe(self): + + known_objval = 6.2520432 + known_solution_set = ["y_2_", "y_3_", "y_4_"] + + fac_snapped = self.facilities_snapped.copy() + fac_snapped["predefined_loc"] = numpy.array([0, 0, 0, 1, 1]) + + pcenter = PCenter.from_geodataframe( + self.clients_snapped, + fac_snapped, + "geometry", + "geometry", + 3, + predefined_facility_col="predefined_loc", + ) + pcenter = pcenter.solve(pulp.PULP_CBC_CMD(msg=False, warmStart=True)) + + observed_objval = pcenter.problem.objective.value() + assert known_objval == pytest.approx(observed_objval) + + observed_solution_set = [dv.name for dv in pcenter.fac_vars if dv.varValue == 1] + numpy.testing.assert_array_equal( + numpy.array(known_solution_set, dtype=object), + numpy.array(observed_solution_set, dtype=object), + ) + class TestRealWorldLocate: def setup_method(self) -> None: @@ -548,8 +633,8 @@ def test_optimality_mclp_from_cost_matrix(self): mclp = MCLP.from_cost_matrix( self.cost_matrix, self.ai, - service_radius=self.service_dist, - p_facilities=self.p_facility, + self.service_dist, + self.p_facility, ) mclp = mclp.solve(pulp.PULP_CBC_CMD(msg=False)) assert mclp.problem.status == pulp.LpStatusOptimal @@ -558,8 +643,8 @@ def test_infeasibility_mclp_from_cost_matrix(self): mclp = MCLP.from_cost_matrix( self.cost_matrix, self.ai, - service_radius=self.service_dist, - p_facilities=1000, + self.service_dist, + 1000, ) with pytest.raises(RuntimeError, match="Model is not solved: Infeasible."): mclp.solve(pulp.PULP_CBC_CMD(msg=False)) @@ -569,29 +654,24 @@ def test_mixin_mclp_get_uncovered_clients(self): mclp = MCLP.from_cost_matrix( self.cost_matrix, self.ai, - service_radius=self.service_dist, - p_facilities=self.p_facility, + self.service_dist, + self.p_facility, ) mclp = mclp.solve(pulp.PULP_CBC_CMD(msg=False)) - mclp.facility_client_array() - mclp.uncovered_clients() assert mclp.n_cli_uncov == uncovered_clients_expected def test_mixin_mclp_get_percentage(self): - percentage_expected = 0.8975609756097561 + percentage_expected = 89.75609756097561 mclp = MCLP.from_cost_matrix( self.cost_matrix, self.ai, - service_radius=self.service_dist, - p_facilities=self.p_facility, + self.service_dist, + self.p_facility, ) mclp = mclp.solve(pulp.PULP_CBC_CMD(msg=False)) - mclp.facility_client_array() - mclp.uncovered_clients() - mclp.get_percentage() - assert mclp.percentage == percentage_expected + assert mclp.perc_cov == pytest.approx(percentage_expected) def test_optimality_mclp_from_geodataframe(self): mclp = MCLP.from_geodataframe( @@ -600,8 +680,8 @@ def test_optimality_mclp_from_geodataframe(self): "geometry", "geometry", "POP2000", - service_radius=self.service_dist, - p_facilities=self.p_facility, + self.service_dist, + self.p_facility, ) mclp = mclp.solve(pulp.PULP_CBC_CMD(msg=False)) assert mclp.problem.status == pulp.LpStatusOptimal @@ -613,21 +693,19 @@ def test_infeasibility_mclp_from_geodataframe(self): "geometry", "geometry", "POP2000", - service_radius=self.service_dist, - p_facilities=1000, + self.service_dist, + 1000, ) with pytest.raises(RuntimeError, match="Model is not solved: Infeasible."): mclp.solve(pulp.PULP_CBC_CMD(msg=False)) def test_optimality_pcenter_from_cost_matrix(self): - pcenter = PCenter.from_cost_matrix( - self.cost_matrix, p_facilities=self.p_facility - ) + pcenter = PCenter.from_cost_matrix(self.cost_matrix, self.p_facility) pcenter = pcenter.solve(pulp.PULP_CBC_CMD(msg=False)) assert pcenter.problem.status == pulp.LpStatusOptimal def test_infeasibility_pcenter_from_cost_matrix(self): - pcenter = PCenter.from_cost_matrix(self.cost_matrix, p_facilities=0) + pcenter = PCenter.from_cost_matrix(self.cost_matrix, 0) with pytest.raises(RuntimeError, match="Model is not solved: Infeasible."): pcenter.solve(pulp.PULP_CBC_CMD(msg=False)) @@ -637,7 +715,7 @@ def test_optimality_pcenter_from_geodataframe(self): self.facility_points_gdf, "geometry", "geometry", - p_facilities=self.p_facility, + self.p_facility, ) pcenter = pcenter.solve(pulp.PULP_CBC_CMD(msg=False)) assert pcenter.problem.status == pulp.LpStatusOptimal @@ -648,30 +726,25 @@ def test_infeasibility_pcenter_from_geodataframe(self): self.facility_points_gdf, "geometry", "geometry", - p_facilities=0, + 0, ) with pytest.raises(RuntimeError, match="Model is not solved: Infeasible."): pcenter.solve(pulp.PULP_CBC_CMD(msg=False)) def test_optimality_pmedian_from_cost_matrix(self): - pmedian = PMedian.from_cost_matrix( - self.cost_matrix, self.ai, p_facilities=self.p_facility - ) + pmedian = PMedian.from_cost_matrix(self.cost_matrix, self.ai, self.p_facility) pmedian = pmedian.solve(pulp.PULP_CBC_CMD(msg=False)) assert pmedian.problem.status == pulp.LpStatusOptimal def test_infeasibility_pmedian_from_cost_matrix(self): - pmedian = PMedian.from_cost_matrix(self.cost_matrix, self.ai, p_facilities=0) + pmedian = PMedian.from_cost_matrix(self.cost_matrix, self.ai, 0) with pytest.raises(RuntimeError, match="Model is not solved: Infeasible."): pmedian.solve(pulp.PULP_CBC_CMD(msg=False)) def test_mixin_mean_distance(self): mean_distance_expected = 2982.1268579890657 - pmedian = PMedian.from_cost_matrix( - self.cost_matrix, self.ai, p_facilities=self.p_facility - ) + pmedian = PMedian.from_cost_matrix(self.cost_matrix, self.ai, self.p_facility) pmedian = pmedian.solve(pulp.PULP_CBC_CMD(msg=False)) - pmedian.get_mean_distance(self.ai) assert pmedian.mean_dist == mean_distance_expected @@ -682,7 +755,7 @@ def test_optimality_pmedian_from_geodataframe(self): "geometry", "geometry", "POP2000", - p_facilities=self.p_facility, + self.p_facility, ) pmedian = pmedian.solve(pulp.PULP_CBC_CMD(msg=False)) assert pmedian.problem.status == pulp.LpStatusOptimal @@ -694,7 +767,7 @@ def test_infeasibility_pmedian_from_geodataframe(self): "geometry", "geometry", "POP2000", - p_facilities=0, + 0, ) with pytest.raises(RuntimeError, match="Model is not solved: Infeasible."): pmedian.solve(pulp.PULP_CBC_CMD(msg=False)) @@ -706,8 +779,8 @@ def test_attribute_error_fac2cli_MCLP_facility_client_array(self): "geometry", "geometry", "POP2000", - service_radius=self.service_dist, - p_facilities=self.p_facility, + self.service_dist, + self.p_facility, ) mclp = mclp.solve(pulp.PULP_CBC_CMD(msg=False), results=False) @@ -723,8 +796,8 @@ def test_attribute_error_cli2fac_MCLP_facility_client_array(self): "geometry", "geometry", "POP2000", - service_radius=self.service_dist, - p_facilities=self.p_facility, + self.service_dist, + self.p_facility, ) mclp = mclp.solve(pulp.PULP_CBC_CMD(msg=False), results=False) @@ -740,8 +813,8 @@ def test_attribute_error_ncliuncov_MCLP_facility_client_array(self): "geometry", "geometry", "POP2000", - service_radius=self.service_dist, - p_facilities=self.p_facility, + self.service_dist, + self.p_facility, ) mclp = mclp.solve(pulp.PULP_CBC_CMD(msg=False), results=False) @@ -757,8 +830,8 @@ def test_attribute_error_percentage_MCLP_facility_client_array(self): "geometry", "geometry", "POP2000", - service_radius=self.service_dist, - p_facilities=self.p_facility, + self.service_dist, + self.p_facility, ) mclp = mclp.solve(pulp.PULP_CBC_CMD(msg=False), results=False) diff --git a/spopt/tests/test_lscpb.py b/spopt/tests/test_lscpb.py index c143055c..486e6064 100644 --- a/spopt/tests/test_lscpb.py +++ b/spopt/tests/test_lscpb.py @@ -62,10 +62,24 @@ def test_lscpb_from_cost_matrix(self): lscpb = LSCPB.from_cost_matrix( self.cost_matrix, 10, pulp.PULP_CBC_CMD(msg=False) ) - result = lscpb.solve(pulp.PULP_CBC_CMD(msg=False)) + result = lscpb.solve() assert isinstance(result, LSCPB) + def test_lscpb_from_cost_matrix_no_results(self): + lscpb = LSCPB.from_cost_matrix( + self.cost_matrix, 10, pulp.PULP_CBC_CMD(msg=False) + ) + result = lscpb.solve(results=False) + assert isinstance(result, LSCPB) + + with pytest.raises(AttributeError): + result.cli2fac + with pytest.raises(AttributeError): + result.fac2cli + with pytest.raises(AttributeError): + result.backup_perc + def test_lscpb_facility_client_array_from_cost_matrix(self): with open(self.dirpath + "lscpb_fac2cli.pkl", "rb") as f: lscpb_objective = pickle.load(f) @@ -73,8 +87,7 @@ def test_lscpb_facility_client_array_from_cost_matrix(self): lscpb = LSCPB.from_cost_matrix( self.cost_matrix, 8, pulp.PULP_CBC_CMD(msg=False) ) - lscpb = lscpb.solve(pulp.PULP_CBC_CMD(msg=False)) - lscpb.facility_client_array() + lscpb = lscpb.solve() numpy.testing.assert_array_equal( numpy.array(lscpb.fac2cli, dtype=object), @@ -88,9 +101,7 @@ def test_lscpb_client_facility_array_from_cost_matrix(self): lscpb = LSCPB.from_cost_matrix( self.cost_matrix, 8, pulp.PULP_CBC_CMD(msg=False) ) - lscpb = lscpb.solve(pulp.PULP_CBC_CMD(msg=False)) - lscpb.facility_client_array() - lscpb.client_facility_array() + lscpb = lscpb.solve() numpy.testing.assert_array_equal( numpy.array(lscpb.cli2fac, dtype=object), @@ -106,7 +117,7 @@ def test_lscpb_from_geodataframe(self): 10, pulp.PULP_CBC_CMD(msg=False), ) - result = lscpb.solve(pulp.PULP_CBC_CMD(msg=False)) + result = lscpb.solve() assert isinstance(result, LSCPB) @@ -122,8 +133,7 @@ def test_lscpb_facility_client_array_from_geodataframe(self): 8, pulp.PULP_CBC_CMD(msg=False), ) - lscpb = lscpb.solve(pulp.PULP_CBC_CMD(msg=False)) - lscpb.facility_client_array() + lscpb = lscpb.solve() numpy.testing.assert_array_equal( numpy.array(lscpb.fac2cli, dtype=object), @@ -142,9 +152,7 @@ def test_lscpb_client_facility_array_from_geodataframe(self): 8, pulp.PULP_CBC_CMD(msg=False), ) - lscpb = lscpb.solve(pulp.PULP_CBC_CMD(msg=False)) - lscpb.facility_client_array() - lscpb.client_facility_array() + lscpb = lscpb.solve() numpy.testing.assert_array_equal( numpy.array(lscpb.cli2fac, dtype=object), @@ -161,16 +169,15 @@ def test_lscpb_preselected_facility_client_array_from_geodataframe(self): fac_snapped["predefined_loc"] = numpy.array([0, 0, 0, 0, 1]) lscpb = LSCPB.from_geodataframe( - gdf_demand=self.clients_snapped, - gdf_fac=fac_snapped, - demand_col="geometry", - facility_col="geometry", - service_radius=8, - solver=pulp.PULP_CBC_CMD(msg=False, warmStart=True), + self.clients_snapped, + fac_snapped, + "geometry", + "geometry", + 8, + pulp.PULP_CBC_CMD(msg=False, warmStart=True), predefined_facility_col="predefined_loc", ) - lscpb = lscpb.solve(pulp.PULP_CBC_CMD(msg=False, warmStart=True)) - lscpb.facility_client_array() + lscpb = lscpb.solve() numpy.testing.assert_array_equal( numpy.array(lscpb.fac2cli, dtype=object), @@ -227,7 +234,7 @@ def test_optimality_lscpb_from_cost_matrix(self): lscpb = LSCPB.from_cost_matrix( self.cost_matrix, self.service_dist, pulp.PULP_CBC_CMD(msg=False) ) - lscpb = lscpb.solve(pulp.PULP_CBC_CMD(msg=False)) + lscpb = lscpb.solve() assert lscpb.problem.status == pulp.LpStatusOptimal @@ -236,7 +243,16 @@ def test_infeasibility_lscpb_from_cost_matrix(self): lscpb = LSCPB.from_cost_matrix( self.cost_matrix, 20, pulp.PULP_CBC_CMD(msg=False) ) - lscpb.solve(pulp.PULP_CBC_CMD(msg=False)) + lscpb.solve() + + def test_mixin_lscpb_get_percentage(self): + percentage_expected = 81.46341463414633 + lscpb = LSCPB.from_cost_matrix( + self.cost_matrix, self.service_dist, pulp.PULP_CBC_CMD(msg=False) + ) + lscpb = lscpb.solve() + + assert lscpb.backup_perc == pytest.approx(percentage_expected) def test_optimality_lscpb_from_geodataframe(self): lscpb = LSCPB.from_geodataframe( @@ -247,7 +263,7 @@ def test_optimality_lscpb_from_geodataframe(self): self.service_dist, pulp.PULP_CBC_CMD(msg=False), ) - lscpb = lscpb.solve(pulp.PULP_CBC_CMD(msg=False)) + lscpb = lscpb.solve() assert lscpb.problem.status == pulp.LpStatusOptimal @@ -261,7 +277,7 @@ def test_infeasibility_lscpb_from_geodataframe(self): 0, pulp.PULP_CBC_CMD(msg=False), ) - lscpb.solve(pulp.PULP_CBC_CMD(msg=False)) + lscpb.solve() class TestErrorsWarnings: @@ -316,7 +332,9 @@ def test_warning_lscpb_demand_geodataframe(self): def test_attribute_error_add_facility_constraint(self): with pytest.raises(AttributeError, match="Before setting backup coverage"): - dummy_class = LSCPB("dummy", pulp.LpProblem("name")) + dummy_class = LSCPB( + "dummy", pulp.LpProblem("name"), pulp.PULP_CBC_CMD(msg=False) + ) dummy_p_facility = 1 dummy_fac_r = 0 dummy_cli_r = 0 diff --git a/spopt/tests/test_p_dispersion.py b/spopt/tests/test_p_dispersion.py index 7cb21882..d7ab14e6 100644 --- a/spopt/tests/test_p_dispersion.py +++ b/spopt/tests/test_p_dispersion.py @@ -55,19 +55,57 @@ def setup_method(self) -> None: ) def test_p_dispersion_from_cost_matrix(self): - pdispersion = PDispersion.from_cost_matrix(self.cost_matrix, p_fac=2) + pdispersion = PDispersion.from_cost_matrix(self.cost_matrix, 2) result = pdispersion.solve(pulp.PULP_CBC_CMD(msg=False)) assert isinstance(result, PDispersion) + def test_p_dispersion_from_cost_matrix_no_results(self): + pdispersion = PDispersion.from_cost_matrix(self.cost_matrix, 2) + result = pdispersion.solve(pulp.PULP_CBC_CMD(msg=False), results=False) + assert isinstance(result, PDispersion) + + with pytest.raises(AttributeError): + result.cli2fac + with pytest.raises(AttributeError): + result.fac2clif + def test_p_dispersion_from_geodataframe(self): pdispersion = PDispersion.from_geodataframe( self.facilities_snapped, "geometry", - p_fac=2, + 2, ) result = pdispersion.solve(pulp.PULP_CBC_CMD(msg=False)) assert isinstance(result, PDispersion) + def test_p_dispersion_preselected_facility_array_from_geodataframe(self): + + known_objval = 4.213464 + known_solution_set = ["y_1_", "y_3_", "y_4_"] + + fac_snapped = self.facilities_snapped.copy() + fac_snapped["predefined_loc"] = numpy.array([0, 0, 0, 1, 1]) + + pdispersion = PDispersion.from_geodataframe( + fac_snapped, + "geometry", + 3, + predefined_facility_col="predefined_loc", + ) + result = pdispersion.solve(pulp.PULP_CBC_CMD(msg=False)) + assert isinstance(result, PDispersion) + + observed_objval = pdispersion.problem.objective.value() + assert known_objval == pytest.approx(observed_objval) + + observed_solution_set = [ + dv.name for dv in pdispersion.fac_vars if dv.varValue == 1 + ] + numpy.testing.assert_array_equal( + numpy.array(known_solution_set, dtype=object), + numpy.array(observed_solution_set, dtype=object), + ) + class TestRealWorldLocate: def setup_method(self) -> None: @@ -106,6 +144,12 @@ def test_optimality_p_dispersion_from_cost_matrix(self): pdispersion = pdispersion.solve(pulp.PULP_CBC_CMD(msg=False)) assert pdispersion.problem.status == pulp.LpStatusOptimal + known_solution_set = ["y_0_", "y_1_", "y_14_", "y_15_"] + observed_solution_set = [ + dv.name for dv in pdispersion.fac_vars if dv.varValue == 1 + ] + assert known_solution_set == observed_solution_set + def test_infeasibility_p_dispersion_from_cost_matrix(self): pdispersion = PDispersion.from_cost_matrix(self.cost_matrix, p_fac=17) with pytest.raises(RuntimeError, match="Model is not solved:"): @@ -115,16 +159,22 @@ def test_optimality_p_dispersion_from_geodataframe(self): pdispersion = PDispersion.from_geodataframe( self.facility_points_gdf, "geometry", - p_fac=self.p_facility, + self.p_facility, ) pdispersion = pdispersion.solve(pulp.PULP_CBC_CMD(msg=False)) assert pdispersion.problem.status == pulp.LpStatusOptimal + known_solution_set = ["y_0_", "y_2_", "y_8_", "y_14_"] + observed_solution_set = [ + dv.name for dv in pdispersion.fac_vars if dv.varValue == 1 + ] + assert known_solution_set == observed_solution_set + def test_infeasibility_p_dispersion_from_geodataframe(self): pdispersion = PDispersion.from_geodataframe( self.facility_points_gdf, "geometry", - p_fac=17, + 17, ) with pytest.raises(RuntimeError, match="Model is not solved:"): pdispersion.solve(pulp.PULP_CBC_CMD(msg=False))