From 9e35f0abe1d62271ac1b8a9f7c7310a8aee401d8 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Carlos=20A=2E=20Michel=C3=A9n=20Str=C3=B6fer?= Date: Mon, 1 Apr 2024 09:54:01 -0600 Subject: [PATCH 01/30] Update CONTRIBUTING.md to indicate PRs should be to the new `dev` branch --- .github/CONTRIBUTING.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/CONTRIBUTING.md b/.github/CONTRIBUTING.md index 45eed855b..e1ce7f875 100644 --- a/.github/CONTRIBUTING.md +++ b/.github/CONTRIBUTING.md @@ -42,7 +42,7 @@ Autograd does not support all NumPy and SciPy functionalities, see [autograd doc 1. Create a fork of WecOptTool 2. Create a branch for the specific issue 3. Add desired code modifications. For enhancements add to documentation. Add or modify a test. Make sure all tests pass and documentation builds. Follow style guide above. - 4. Do a pull request, and give admins edit access. [Link to any open issues](https://docs.github.com/en/issues/tracking-your-work-with-issues/linking-a-pull-request-to-an-issue) and add relevant tags. Use a concise but descriptive PR title, as this will be part of the [release notes](https://github.com/sandialabs/WecOptTool/releases) for the next version. Start the PR title with an all caps label followed by a colon, e.g., "BUG FIX: ...", "NEW FEATURE: ...", "DOCUMENTATION: ...", etc. + 4. Do a pull request to the `dev` branch, and give admins edit access. [Link to any open issues](https://docs.github.com/en/issues/tracking-your-work-with-issues/linking-a-pull-request-to-an-issue) and add relevant tags. Use a concise but descriptive PR title, as this will be part of the [release notes](https://github.com/sandialabs/WecOptTool/releases) for the next version. Start the PR title with an all caps label followed by a colon, e.g., "BUG FIX: ...", "NEW FEATURE: ...", "DOCUMENTATION: ...", etc. **Note: Pull requests should be made to the `dev` branch, not the `main` branch**. ## Tests There are a series of unit and integration tests defined in the `tests` directory. From db731fe0da041f089978cffa25d99b4656f83067 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Carlos=20A=2E=20Michel=C3=A9n=20Str=C3=B6fer?= Date: Mon, 1 Apr 2024 09:57:08 -0600 Subject: [PATCH 02/30] Update RELEASING.md to reflect new workflow with the `dev` branch --- .github/RELEASING.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.github/RELEASING.md b/.github/RELEASING.md index 15d38664a..9148ec1ea 100644 --- a/.github/RELEASING.md +++ b/.github/RELEASING.md @@ -3,7 +3,8 @@ This section is for developers. Before a release make sure to: -* change [version number](https://semver.org/) in `pyproject.toml` +* change [version number](https://semver.org/) in `pyproject.toml` in the `dev` branch. +* Merge the `dev` branch into the `main` branch. **Note: the `dev` branch should only be merged into `main` when it is ready for a new release.** ## GitHub In the GitHub repository, click on *Releases*, click on *Draft new release*. From eed5f7dc4789e1e7ceec30483b0c7f90963c6f7f Mon Sep 17 00:00:00 2001 From: jtgrasb <87095491+jtgrasb@users.noreply.github.com> Date: Mon, 1 Apr 2024 10:04:59 -0600 Subject: [PATCH 03/30] Set Default uniform_shift to False (#313) * Make uniform shift default false and fix test_core * Allow for non-uniform shift for impedance --- tests/test_core.py | 2 +- wecopttool/core.py | 45 +++++++++++++++++++++++++++++++++------------ 2 files changed, 34 insertions(+), 13 deletions(-) diff --git a/tests/test_core.py b/tests/test_core.py index b8beb4fee..2d23f8bf2 100644 --- a/tests/test_core.py +++ b/tests/test_core.py @@ -941,7 +941,7 @@ def data_new_uniform(self, data, tol): """Hydrodynamic data structure for which the function :python:`check_linear_damping` has been called. """ - return wot.check_linear_damping(data, tol) + return wot.check_linear_damping(data, tol, True) @pytest.fixture(scope="class") def data_new_nonuniform(self, data, tol): diff --git a/wecopttool/core.py b/wecopttool/core.py index 96cf32a48..691f1b2ec 100644 --- a/wecopttool/core.py +++ b/wecopttool/core.py @@ -289,7 +289,7 @@ def from_bem( f_add: Optional[TIForceDict] = None, constraints: Optional[Iterable[Mapping]] = None, min_damping: Optional[float] = _default_min_damping, - uniform_shift: Optional[bool] = True, + uniform_shift: Optional[bool] = False, dof_names: Optional[Iterable[str]] = None, ) -> TWEC: """Create a WEC object from linear hydrodynamic coefficients @@ -483,6 +483,7 @@ def from_impedance( f_add: Optional[TIForceDict] = None, constraints: Optional[Iterable[Mapping]] = None, min_damping: Optional[float] = _default_min_damping, + uniform_shift: Optional[bool] = False, ) -> TWEC: """Create a WEC object from the intrinsic impedance and excitation coefficients. @@ -525,6 +526,11 @@ def from_impedance( Minimum damping level to ensure a stable system. See :py:func:`wecopttool.check_impedance` for more details. + uniform_shift + Boolean determining whether damping corrections shifts the damping + values uniformly for all frequencies or only for frequencies below + :python:`min_damping`. + See :py:func:`wecopttool.check_linear_damping` for more details. Raises ------ @@ -1836,7 +1842,7 @@ def write_netcdf(fpath: Union[str, Path], data: Dataset) -> None: def check_linear_damping( hydro_data: Dataset, min_damping: Optional[float] = 1e-6, - uniform_shift: Optional[bool] = True, + uniform_shift: Optional[bool] = False, ) -> Dataset: """Ensure that the linear hydrodynamics (friction + radiation damping) have positive damping. @@ -1858,7 +1864,7 @@ def check_linear_damping( damping for all frequencies. If :python:`False`, the damping correction is applied to :python:`radiation_damping` and only shifts the damping for frequencies with negative damping values. Default is - :python:`True`. + :python:`False`. """ hydro_data_new = hydro_data.copy(deep=True) radiation = hydro_data_new['radiation_damping'] @@ -1885,7 +1891,8 @@ def check_linear_damping( if (new_damping==min_damping).any(): _log.warning( f'Linear damping for DOF "{dof}" has negative or close to ' + - 'zero terms. Shifting up damping terms to a minimum of ' + + 'zero terms. Shifting up damping terms ' + + f'{np.where(new_damping==min_damping)[0]} to a minimum of ' + f'{min_damping} N/(m/s)') hydro_data_new['radiation_damping'][:, idof, idof] = new_damping return hydro_data_new @@ -1894,6 +1901,7 @@ def check_linear_damping( def check_impedance( Zi: DataArray, min_damping: Optional[float] = 1e-6, + uniform_shift: Optional[bool] = False, ) -> DataArray: """Ensure that the real part of the impedance (resistive) is positive. @@ -1911,14 +1919,27 @@ def check_impedance( Zi_diag = np.diagonal(Zi,axis1=1,axis2=2) Zi_shifted = Zi.copy() for dof in range(Zi_diag.shape[1]): - dmin = np.min(np.real(Zi_diag[:, dof])) - if dmin < min_damping: - delta = min_damping - dmin - Zi_shifted[:, dof, dof] = Zi_diag[:, dof] \ - + np.abs(delta) - _log.warning( - f'Real part of impedance for {dof} has negative or close to ' + - f'zero terms. Shifting up by {delta:.2f}') + if uniform_shift: + dmin = np.min(np.real(Zi_diag[:, dof])) + if dmin < min_damping: + delta = min_damping - dmin + Zi_shifted[:, dof, dof] = Zi_diag[:, dof] \ + + np.abs(delta) + _log.warning( + f'Real part of impedance for {dof} has negative or close to ' + + f'zero terms. Shifting up by {delta:.2f}') + else: + points = np.where(np.real(Zi_diag[:, dof]) Date: Tue, 2 Apr 2024 14:03:02 -0600 Subject: [PATCH 04/30] update docstrings (#326) --- wecopttool/waves.py | 21 +++++++++++---------- 1 file changed, 11 insertions(+), 10 deletions(-) diff --git a/wecopttool/waves.py b/wecopttool/waves.py index 97ddc1a29..0f33f88ef 100644 --- a/wecopttool/waves.py +++ b/wecopttool/waves.py @@ -5,13 +5,14 @@ :python:`wecopttool`. It also provides functions for creating common types of waves such as regular waves and irregular waves. -The data structure is a 2D complex :py:module:xarray.DataArray +The data structure is a 2D complex :py:class:`xarray.DataArray` containing the complex amplitude. The 2D coordinates are: wave angular frequency :python:`omega` (rad/s) and direction :python:`wave_direction` (rad). This module uses wave spectrum data in the -:py:class:`wavespectra.SpecArray` format. +:py:class:`wavespectra.SpecArray` format, but does not require that you +use :py:class:`wavespectra.SpecArray` objects. """ @@ -203,8 +204,8 @@ def long_crested_wave( """Create a complex frequency-domain wave elevation from an omnidirectional spectrum. - The omnidirectional spectrum is in the - :py:class:`wavespectra.SpecArray` format. + The spectrum is a :py:class:`xarray.DataArray` in the format used + by :py:class:`wavespectra.SpecArray`. .. note:: The frequencies must be evenly-spaced with spacing equal to the first frequency. This is not always the case when @@ -245,8 +246,8 @@ def irregular_wave(efth: DataArray, seed: Optional[float] = None,) -> DataArray: """Create a complex frequency-domain wave elevation from a spectrum. - The omnidirectional spectrum is in the - :py:class:`wavespectra.SpecArray` format. + The spectrum is a :py:class:`xarray.DataArray` in the format used + by :py:class:`wavespectra.SpecArray`. .. note:: The frequencies must be evenly-spaced with spacing equal to the first frequency. This is not always the case when @@ -308,8 +309,8 @@ def omnidirectional_spectrum( spectrum_func: Callable, spectrum_name: str = '', ) -> DataArray: - """Create the dataset for an omnidirectional wave spectrum in the - :py:class:`wavespectra.SpecArray` format. + """Create the :py:class:`xarray.DataArray` for an omnidirectional + wave spectrum in the :py:class:`wavespectra.SpecArray` format. Examples -------- @@ -378,8 +379,8 @@ def spectrum( spectrum_name: str = '', spread_name: str = '', ) -> DataArray: - """Create the dataset for an irregular wave in the - :py:class:`wavespectra.SpecArray` format. + """Create the :py:class:`xarray.DataArray` for an irregular wave + in the :py:class:`wavespectra.SpecArray` format. Examples -------- From d4f9fc7c81c5d885c72df9536c7a6788e3529240 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Carlos=20A=2E=20Michel=C3=A9n=20Str=C3=B6fer?= Date: Tue, 2 Apr 2024 15:26:11 -0600 Subject: [PATCH 05/30] damping naming and consistently change radiation damping (#328) --- wecopttool/core.py | 50 +++++++++++++++++++++++----------------------- 1 file changed, 25 insertions(+), 25 deletions(-) diff --git a/wecopttool/core.py b/wecopttool/core.py index 691f1b2ec..e8b5b3fbc 100644 --- a/wecopttool/core.py +++ b/wecopttool/core.py @@ -31,7 +31,7 @@ "td_to_fd", "read_netcdf", "write_netcdf", - "check_linear_damping", + "check_radiation_damping", "check_impedance", "force_from_rao_transfer_function", "force_from_impedance", @@ -311,8 +311,8 @@ def from_bem( :py:func:`wecopttool.run_bem`, rather than running Capytaine directly, which outputs the results in the correct convention. The results can be saved - using :py:func:`wecopttool.write_netcdf`. - :py:func:`wecopttool.run_bem` also computes the inertia and + using :py:func:`wecopttool.write_netcdf`. + :py:func:`wecopttool.run_bem` also computes the inertia and hydrostatic stiffness which should be included in bem_data. Parameters @@ -339,12 +339,12 @@ def from_bem( If :python:`None`: empty list :python:`[]`. min_damping Minimum damping level to ensure a stable system. - See :py:func:`wecopttool.check_linear_damping` for more details. + See :py:func:`wecopttool.check_radiation_damping` for more details. uniform_shift Boolean determining whether damping corrections shifts the damping values uniformly for all frequencies or only for frequencies below :python:`min_damping`. - See :py:func:`wecopttool.check_linear_damping` for more details. + See :py:func:`wecopttool.check_radiation_damping` for more details. dof_names Names of the different degrees of freedom (e.g. :python:`'Heave'`). @@ -354,7 +354,7 @@ def from_bem( See Also -------- run_bem, add_linear_friction, change_bem_convention, - write_netcdf, check_linear_damping + write_netcdf, check_radiation_damping """ if isinstance(bem_data, (str, Path)): bem_data = read_netcdf(bem_data) @@ -368,7 +368,7 @@ def from_bem( # check real part of damping diagonal > 0 if min_damping is not None: - hydro_data = check_linear_damping( + hydro_data = check_radiation_damping( hydro_data, min_damping, uniform_shift) # forces in the dynamics equations @@ -442,7 +442,7 @@ def from_floating_body( If :python:`None`: empty list :python:`[]`. min_damping Minimum damping level to ensure a stable system. - See :py:func:`wecopttool.check_linear_damping` for + See :py:func:`wecopttool.check_radiation_damping` for more details. wave_directions List of wave directions [degrees] to evaluate BEM at. @@ -530,7 +530,7 @@ def from_impedance( Boolean determining whether damping corrections shifts the damping values uniformly for all frequencies or only for frequencies below :python:`min_damping`. - See :py:func:`wecopttool.check_linear_damping` for more details. + See :py:func:`wecopttool.check_radiation_damping` for more details. Raises ------ @@ -720,13 +720,13 @@ def solve(self, # composite scaling vector scale = np.concatenate([scale_x_wec, scale_x_opt]) - + # decision variable initial guess if x_wec_0 is None: x_wec_0 = np.random.randn(self.nstate_wec) if x_opt_0 is None: x_opt_0 = np.random.randn(nstate_opt) - x0 = np.concatenate([x_wec_0, x_opt_0])*scale + x0 = np.concatenate([x_wec_0, x_opt_0])*scale # bounds if (bounds_wec is None) and (bounds_opt is None): @@ -754,11 +754,11 @@ def solve(self, for realization, wave in waves.groupby('realization'): _log.info("Solving pseudo-spectral control problem " - + f"for realization number {realization}.") - + + f"for realization number {realization}.") + # objective function sign = -1.0 if maximize else 1.0 - + def obj_fun_scaled(x): x_wec, x_opt = self.decompose_state(x/scale) return obj_fun(self, x_wec, x_opt, wave)*scale_obj*sign @@ -790,7 +790,7 @@ def scaled_resid_fun(x): if use_grad: eq_cons['jac'] = jacobian(scaled_resid_fun) constraints.append(eq_cons) - + # callback if callback is None: def callback_scipy(x): @@ -834,9 +834,9 @@ def callback_scipy(x): optim_res.x = optim_res.x / scale optim_res.fun = optim_res.fun / scale_obj optim_res.jac = optim_res.jac / scale_obj * scale - + results.append(optim_res) - + return results def post_process(self, @@ -1839,7 +1839,7 @@ def write_netcdf(fpath: Union[str, Path], data: Dataset) -> None: cpy.io.xarray.separate_complex_values(data).to_netcdf(fpath) -def check_linear_damping( +def check_radiation_damping( hydro_data: Dataset, min_damping: Optional[float] = 1e-6, uniform_shift: Optional[bool] = False, @@ -1881,9 +1881,9 @@ def check_linear_damping( delta = min_damping-dmin _log.warning( f'Linear damping for DOF "{dof}" has negative or close ' + - 'to zero terms. Shifting up via linear friction of ' + + 'to zero terms. Shifting up radiation damping by ' + f'{delta.values} N/(m/s).') - hydro_data_new['friction'][idof, idof] = (ifriction + delta) + hydro_data_new['radiation_damping'][:, idof, idof] = (iradiation + delta) else: new_damping = iradiation.where( iradiation+ifriction>min_damping, other=min_damping) @@ -1931,7 +1931,7 @@ def check_impedance( else: points = np.where(np.real(Zi_diag[:, dof]) Date: Tue, 2 Apr 2024 15:42:35 -0600 Subject: [PATCH 06/30] run CI + codeQL on dev PRs/pushses --- .github/workflows/codeql-analysis.yml | 4 ++-- .github/workflows/push.yml | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/.github/workflows/codeql-analysis.yml b/.github/workflows/codeql-analysis.yml index 28138c9da..f967e5dc4 100644 --- a/.github/workflows/codeql-analysis.yml +++ b/.github/workflows/codeql-analysis.yml @@ -4,9 +4,9 @@ name: "CodeQL" on: push: - branches: [ main ] + branches: [ main, dev ] pull_request: - branches: [ main ] + branches: [ main, dev ] schedule: - cron: '30 1 * * 0' diff --git a/.github/workflows/push.yml b/.github/workflows/push.yml index 1a13d932e..f8e3d0fee 100644 --- a/.github/workflows/push.yml +++ b/.github/workflows/push.yml @@ -7,9 +7,9 @@ name: Build and Test on: push: - branches: [ main ] + branches: [ main, dev ] pull_request: - branches: [ main ] + branches: [ main, dev ] jobs: wecopttool_test: From 775d2734de3e1280e52675cbeaa1ab6192af0eb9 Mon Sep 17 00:00:00 2001 From: jtgrasb <87095491+jtgrasb@users.noreply.github.com> Date: Tue, 2 Apr 2024 21:10:51 -0600 Subject: [PATCH 07/30] Fix test failures (#330) * fix tests * fix pioneer --- examples/tutorial_4_Pioneer.ipynb | 2 +- tests/test_core.py | 39 ++++++++++++++----------------- tests/test_integration.py | 2 +- 3 files changed, 19 insertions(+), 24 deletions(-) diff --git a/examples/tutorial_4_Pioneer.ipynb b/examples/tutorial_4_Pioneer.ipynb index a817b7a7b..4ab16ab2b 100644 --- a/examples/tutorial_4_Pioneer.ipynb +++ b/examples/tutorial_4_Pioneer.ipynb @@ -760,7 +760,7 @@ "outputs": [], "source": [ "hydro_data = wot.add_linear_friction(bem_data, friction=None) \n", - "hydro_data = wot.check_linear_damping(hydro_data, uniform_shift=False) \n", + "hydro_data = wot.check_radiation_damping(hydro_data, uniform_shift=False) \n", "\n", "Zi = wot.hydrodynamic_impedance(hydro_data)\n", "Rad_res = np.real(Zi.squeeze())\n", diff --git a/tests/test_core.py b/tests/test_core.py index 2d23f8bf2..55f093f0e 100644 --- a/tests/test_core.py +++ b/tests/test_core.py @@ -919,8 +919,8 @@ def test_read_write_netcdf(self, hydro_data, hydro_data_new): assert hydro_data.equals(hydro_data_new) -class TestCheckLinearDamping: - """Test function :python:`check_linear_damping`.""" +class TestCheckRadiationDamping: + """Test function :python:`check_radiation_damping`.""" @pytest.fixture(scope="class") def data(self, hydro_data): @@ -933,44 +933,39 @@ def data(self, hydro_data): @pytest.fixture(scope="class") def tol(self, data): - """Tolerance for function :python:`check_linear_damping`.""" + """Tolerance for function :python:`check_radiation_damping`.""" return 0.01 @pytest.fixture(scope="class") def data_new_uniform(self, data, tol): """Hydrodynamic data structure for which the function - :python:`check_linear_damping` has been called. + :python:`check_radiation_damping` has been called. """ - return wot.check_linear_damping(data, tol, True) + return wot.check_radiation_damping(data, tol, True) @pytest.fixture(scope="class") def data_new_nonuniform(self, data, tol): """Hydrodynamic data structure for which the function - :python:`check_linear_damping` has been called. + :python:`check_radiation_damping` has been called. """ - return wot.check_linear_damping(data, tol, False) + return wot.check_radiation_damping(data, tol, False) - def test_friction(self, data_new_uniform, tol): + def test_radiation(self, data, data_new_uniform, tol): """Test that the modified friction diagonal has the expected value for a uniform shift. """ - assert np.allclose(np.diagonal(data_new_uniform.friction.values), tol) + radiation_diff = (data_new_uniform.radiation_damping.values + - data.radiation_damping.values) + assert np.allclose(radiation_diff, radiation_diff[0], tol) - def test_only_diagonal_friction(self, data, data_new_uniform): - """Test that only the diagonal was changed for a uniform shift.""" - data_org = data.copy(deep=True) - def nodiag(x): - return x.friction.values - np.diag(np.diagonal(x.friction.values)) - assert np.allclose(nodiag(data_new_uniform), nodiag(data_org)) - - def test_only_friction(self, data, data_new_uniform): - """Test that only the friction is changed in the hydrodynamic + def test_only_radiation(self, data, data_new_uniform): + """Test that only the radiation is changed in the hydrodynamic data for a uniform shift. """ - data_new_nofric = data_new_uniform.copy(deep=True - ).drop_vars('friction') - data_org_nofric = data.copy(deep=True).drop_vars('friction') - assert data_new_nofric.equals(data_org_nofric) + data_new_norad = data_new_uniform.copy(deep=True + ).drop_vars('radiation_damping') + data_org_norad = data.copy(deep=True).drop_vars('radiation_damping') + assert data_new_norad.equals(data_org_norad) def test_damping(self, data_new_nonuniform, tol): """Test that the modified radiation damping diagonal has the expected diff --git a/tests/test_integration.py b/tests/test_integration.py index ea116fa40..fcb954af4 100644 --- a/tests/test_integration.py +++ b/tests/test_integration.py @@ -234,7 +234,7 @@ def hstiff(self, fb): def hydro_impedance(self, bem): """Intrinsic hydrodynamic impedance""" hd = wot.add_linear_friction(bem) - hd = wot.check_linear_damping(hd) + hd = wot.check_radiation_damping(hd) Zi = wot.hydrodynamic_impedance(hd) return Zi From a7bef5fddc9816cbf61ec5aa845975d20f2b3d6c Mon Sep 17 00:00:00 2001 From: Ryan Coe Date: Wed, 3 Apr 2024 08:20:39 -0600 Subject: [PATCH 08/30] actually test power solution for irregular wave (#327) --- tests/test_integration.py | 90 ++++++++++++++++++++++----------------- 1 file changed, 50 insertions(+), 40 deletions(-) diff --git a/tests/test_integration.py b/tests/test_integration.py index fcb954af4..18a74c250 100644 --- a/tests/test_integration.py +++ b/tests/test_integration.py @@ -10,7 +10,7 @@ kplim = -1e1 - +min_damping = 45 @pytest.fixture(scope="module") def f1(): @@ -73,10 +73,13 @@ def fb(): @pytest.fixture(scope="module") -def bem(f1, nfreq, fb): - """Boundary elemement model (Capytaine) results""" +def hydro_data(f1, nfreq, fb): + """Boundary element model (Capytaine) results (with friction added)""" freq = wot.frequency(f1, nfreq, False) - return wot.run_bem(fb, freq) + hydro_data = wot.run_bem(fb, freq) + hd = wot.add_linear_friction(hydro_data) + hd = wot.check_radiation_damping(hd, min_damping=min_damping) + return hd @pytest.fixture(scope='module') @@ -91,21 +94,26 @@ def regular_wave(f1, nfreq): @pytest.fixture(scope='module') -def irregular_wave(f1, nfreq): +def long_crested_wave(f1, nfreq): """Idealized (Pierson-Moskowitz) spectrum wave""" freq = wot.frequency(f1, nfreq, False) fp = 0.3 hs = 0.0625*1.9 - spec = wot.waves.pierson_moskowitz_spectrum(freq, fp, hs) - waves = wot.waves.long_crested_wave(spec) + spec_fun = lambda f: wot.waves.pierson_moskowitz_spectrum(freq=f, + fp=fp, + hs=hs) + efth = wot.waves.omnidirectional_spectrum(f1=f1, nfreq=nfreq, + spectrum_func=spec_fun, + ) + waves = wot.waves.long_crested_wave(efth, nrealizations=1) return waves @pytest.fixture(scope='module') -def wec_from_bem(f1, nfreq, bem, fb, pto): +def wec_from_bem(f1, nfreq, hydro_data, fb, pto): """Simple WEC: 1 DOF, no constraints.""" f_add = {"PTO": pto.force_on_wec} - wec = wot.WEC.from_bem(bem, f_add=f_add) + wec = wot.WEC.from_bem(hydro_data, f_add=f_add) return wec @@ -113,14 +121,15 @@ def wec_from_bem(f1, nfreq, bem, fb, pto): def wec_from_floatingbody(f1, nfreq, fb, pto): """Simple WEC: 1 DOF, no constraints.""" f_add = {"PTO": pto.force_on_wec} - wec = wot.WEC.from_floating_body(fb, f1, nfreq, f_add=f_add) + wec = wot.WEC.from_floating_body(fb, f1, nfreq, f_add=f_add, + min_damping=min_damping) return wec @pytest.fixture(scope='module') -def wec_from_impedance(bem, pto, fb): +def wec_from_impedance(hydro_data, pto, fb): """Simple WEC: 1 DOF, no constraints.""" - bemc = bem.copy() + bemc = hydro_data.copy() omega = bemc['omega'].values w = np.expand_dims(omega, [1,2]) A = bemc['added_mass'].values @@ -134,17 +143,18 @@ def wec_from_impedance(bem, pto, fb): freqs = omega / (2 * np.pi) impedance = (A + mass)*(1j*w) + B + K/(1j*w) - exc_coeff = bem['Froude_Krylov_force'] + bem['diffraction_force'] + exc_coeff = hydro_data['Froude_Krylov_force'] + hydro_data['diffraction_force'] f_add = {"PTO": pto.force_on_wec} - wec = wot.WEC.from_impedance(freqs, impedance, exc_coeff, hstiff, f_add) + wec = wot.WEC.from_impedance(freqs, impedance, exc_coeff, hstiff, f_add, + min_damping=min_damping) return wec @pytest.fixture(scope='module') -def resonant_wave(f1, nfreq, fb, bem): +def resonant_wave(f1, nfreq, fb, hydro_data): """Regular wave at natural frequency of the WEC""" - hd = wot.add_linear_friction(bem) + hd = wot.add_linear_friction(hydro_data) Zi = wot.hydrodynamic_impedance(hd) wn = Zi['omega'][np.abs(Zi).argmin(dim='omega')].item() waves = wot.waves.regular_wave(f1, nfreq, freq=wn/2/np.pi, amplitude=0.1) @@ -231,15 +241,13 @@ def hstiff(self, fb): return fb.compute_hydrostatic_stiffness() @pytest.fixture(scope='class') - def hydro_impedance(self, bem): + def hydro_impedance(self, hydro_data): """Intrinsic hydrodynamic impedance""" - hd = wot.add_linear_friction(bem) - hd = wot.check_radiation_damping(hd) - Zi = wot.hydrodynamic_impedance(hd) + Zi = wot.hydrodynamic_impedance(hydro_data) return Zi def test_p_controller_resonant_wave(self, - bem, + hydro_data, resonant_wave, p_controller_pto, hydro_impedance): @@ -247,7 +255,7 @@ def test_p_controller_resonant_wave(self, wave""" f_add = {"PTO": p_controller_pto.force_on_wec} - wec = wot.WEC.from_bem(bem, f_add=f_add) + wec = wot.WEC.from_bem(hydro_data, f_add=f_add) res = wec.solve(waves=resonant_wave, obj_fun=p_controller_pto.average_power, @@ -272,14 +280,14 @@ def test_p_controller_resonant_wave(self, assert power_sol == approx(power_optimal, rel=0.03) def test_pi_controller_regular_wave(self, - bem, + hydro_data, regular_wave, pi_controller_pto, hydro_impedance): """PI controller matches optimal for any regular wave""" f_add = {"PTO": pi_controller_pto.force_on_wec} - wec = wot.WEC.from_bem(bem, f_add=f_add) + wec = wot.WEC.from_bem(hydro_data, f_add=f_add) res = wec.solve(waves=regular_wave, obj_fun=pi_controller_pto.average_power, @@ -302,20 +310,20 @@ def test_pi_controller_regular_wave(self, ).squeeze().sum('omega').item() assert power_sol == approx(power_optimal, rel=1e-4) - def test_unstructured_controller_irregular_wave(self, - fb, - bem, - regular_wave, - pto, - nfreq, - hydro_impedance): + + def test_unstructured_controller_long_crested_wave(self, + hydro_data, + long_crested_wave, + pto, + nfreq, + hydro_impedance): """Unstructured (numerical optimal) controller matches optimal for any - irregular wave when unconstrained""" + irregular (long crested) wave when unconstrained""" f_add = {"PTO": pto.force_on_wec} - wec = wot.WEC.from_bem(bem, f_add=f_add) + wec = wot.WEC.from_bem(hydro_data, f_add=f_add) - res = wec.solve(waves=regular_wave, + res = wec.solve(waves=long_crested_wave, obj_fun=pto.average_power, nstate_opt=2*nfreq, x_wec_0=1e-1*np.ones(wec.nstate_wec), @@ -326,16 +334,18 @@ def test_unstructured_controller_irregular_wave(self, power_sol = -1*res[0]['fun'] - res_fd, _ = wec.post_process(res[0], regular_wave.sel(realization=0), nsubsteps=1) + res_fd, _ = wec.post_process(res[0], + long_crested_wave.sel(realization=0), + nsubsteps=1) Fex = res_fd.force.sel( type=['Froude_Krylov', 'diffraction']).sum('type') power_optimal = (np.abs(Fex)**2/8 / np.real(hydro_impedance.squeeze()) - ).squeeze().sum('omega').item() + ).squeeze().sum('omega').item() - assert power_sol == approx(power_optimal, rel=1e-3) + assert power_sol == approx(power_optimal, rel=1e-2) def test_saturated_pi_controller(self, - bem, + hydro_data, regular_wave, pto, nfreq): @@ -357,7 +367,7 @@ def const_f_pto(wec, x_wec, x_opt, waves): f = pto['us'].force_on_wec(wec, x_wec, x_opt, waves, nsubsteps=4) return f_max - np.abs(f.flatten()) - wec['us'] = wot.WEC.from_bem(bem, + wec['us'] = wot.WEC.from_bem(hydro_data, f_add={"PTO": pto['us'].force_on_wec}, constraints=[{'type': 'ineq', 'fun': const_f_pto, }]) @@ -372,7 +382,7 @@ def saturated_pi(pto, wec, x_wec, x_opt, waves=None, nsubsteps=1): pto['pi'] = wot.pto.PTO(ndof=ndof, kinematics=np.eye(ndof), controller=saturated_pi,) - wec['pi'] = wot.WEC.from_bem(bem, + wec['pi'] = wot.WEC.from_bem(hydro_data, f_add={"PTO": pto['pi'].force_on_wec}, constraints=[]) From 83de96fa1956dbb27f11c4dff363d046aeacae4d Mon Sep 17 00:00:00 2001 From: jtgrasb <87095491+jtgrasb@users.noreply.github.com> Date: Wed, 3 Apr 2024 13:45:14 -0600 Subject: [PATCH 09/30] Update test_integration with new scaling (#333) --- tests/test_integration.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/tests/test_integration.py b/tests/test_integration.py index 18a74c250..6b2410451 100644 --- a/tests/test_integration.py +++ b/tests/test_integration.py @@ -326,10 +326,10 @@ def test_unstructured_controller_long_crested_wave(self, res = wec.solve(waves=long_crested_wave, obj_fun=pto.average_power, nstate_opt=2*nfreq, - x_wec_0=1e-1*np.ones(wec.nstate_wec), - scale_x_wec=1e2, - scale_x_opt=1e-2, - scale_obj=1e-2, + x_wec_0=1e-3*np.ones(wec.nstate_wec), + scale_x_wec=1e1, + scale_x_opt=1e-3, + scale_obj=5e-2, ) power_sol = -1*res[0]['fun'] From 2abb4fb7e2f691ff6c676afa97395350c7f1f41b Mon Sep 17 00:00:00 2001 From: jtgrasb <87095491+jtgrasb@users.noreply.github.com> Date: Wed, 3 Apr 2024 14:30:35 -0600 Subject: [PATCH 10/30] Phase Realizations Demo and Docs (#315) * Pioneer tutorial realizations demo Add frequency array and realization study to beginning of pioneer tutorial * Update pioneer * Clean pioneer and update docs * remove print * Units * Update pioneer plots * Waves before frequencies * Explain less frequencies * Minor updates * Update pioneer * Merge branch 'dev' of https://github.com/sandialabs/WecOptTool into phases_demo --- docs/source/theory.rst | 10 ++ examples/data/tutorial_4_freq_range.nc | Bin 0 -> 24042 bytes examples/data/tutorial_4_nfreqs.nc | Bin 0 -> 10248 bytes examples/data/tutorial_4_nrealizations.nc | Bin 0 -> 9660 bytes examples/tutorial_1_WaveBot.ipynb | 64 +++++----- examples/tutorial_2_AquaHarmonics.ipynb | 56 ++++----- examples/tutorial_3_LUPA.ipynb | 123 ++++++++++--------- examples/tutorial_4_Pioneer.ipynb | 136 ++++++++++++++++++++-- 8 files changed, 256 insertions(+), 133 deletions(-) create mode 100644 examples/data/tutorial_4_freq_range.nc create mode 100644 examples/data/tutorial_4_nfreqs.nc create mode 100644 examples/data/tutorial_4_nrealizations.nc diff --git a/docs/source/theory.rst b/docs/source/theory.rst index c5b9f59cf..c8169c576 100644 --- a/docs/source/theory.rst +++ b/docs/source/theory.rst @@ -146,6 +146,16 @@ This relationship can be derived from conservation of energy in both frames, and f_w = K^T f_p \\ :label: conservation_energy +Phase Realizations +^^^^^^^^^^^^^^^^^^ +Irregular waves are defined in WecOptTool as a spectrum of complex frequency-domain wave elevations. The phase of each of the elevation elements impacts the time-domain result. Thus, the standard calculation of the objective function (average power) may change across a range of phase realizations. The amount of variance in power depends on multiple factors such as the optimization problem and the frequency array. When creating an irregular wave using :py:meth:`wecopttool.waves.long_crested_wave` or :py:meth:`wecopttool.waves.irregular_wave`, :code:`nrealizations` can be used to select the number of phase realizations to be used. By default, random realizations will be used to create the selected number of wave elevation spectra. The :py:meth:`wecopttool.WEC.solve` function will automatically iterate through and solve the optimization problem for each realization, and the overall result can be found by averaging the value of the objective function across all realizations. A general recommendation is to use sufficient random phase realizations such that the total simulation time sums to 20 minutes. + +.. math:: + t_{total} = \frac{nrealizations}{f1} + :label: total_time + +The selection of the number of realizations is further detailed in :doc:`_examples/tutorial_4_Pioneer`. + Troubleshooting --------------- If your simulation is not behaving as expected, consider some of the general troubleshooting steps below: diff --git a/examples/data/tutorial_4_freq_range.nc b/examples/data/tutorial_4_freq_range.nc new file mode 100644 index 0000000000000000000000000000000000000000..37a976e711000bbd9ad113580b9e4ed12337ab96 GIT binary patch literal 24042 zcmeHv2{>2Z*YDRn&yqq!Dw4>MlCzJ zA~cZ7JSB0zU%ub}`@6sQ|G)RX&wcNE?|q*3^RVq{?e$rEoqg8cYaPK_>Kbg!8=0vY z83~lMLQbP6*J@W6A0*Luv0%BDqb)_Nj5?F~pgwuL9=dI72l~;3daX(|{Y-4S{ZLfS#)E!PWkBp@~+bs<;PhmsXONl{$Cktb&THw5*Kup0FqUiX>vB0tmPS? zcvIjv!{R)0xez4YA*B*>JqErTl6q8<+iL)GSGubTa~-+gYan4BSv9-8k=(x-WDr}s z(p$*mT7leZYA28H0M)bGi6c76bh?1iDg)hQdOcv!o5bKdGTryUjYQ71k4(QGtf3en z&ocnD)&`L08w4b7%p-@$^L_-Y>~?)5&;JPsli+UpOy=V=ususkU&#Cn1Cn%j^M=WM zjet24yR#!?{=NcaRRE)8K1abSxxjB^e!qjJMpF7t=KBX&w@Pq~%>Niz6_@!q8OH>9 zo(VFZ3G#dsWL%Tvc_+#ECduH83|S7dWIkuf z@|Y#_J4cqw9GUMqvV7*r{Lho+G*8B{K*q5^#<4)gu|UT0lZ@jh8OKjDjzti)x?YQ9 z9E)TezsNX#k#YPY<5(i&SR&(CBIEc?#_^ks<2M<{G8xA*8OJgi#|jz83K_==83zGf z(`N#@rk4bC?KvT!YkEyU*VdPSuIU8U zdNK}rG7bhZ4hAv~1~Lu?G7bhZ4hAv~MpRQxUx&0UuD&OT+3MeQk9+4 zS_A2&NJ^BKj=RlTnSL!J8wdmf#ol1}7xff_fs&7t`%%mjNlshw>`@JD*&C>rbJ>{kM7w9nu?zl>Sa<)fW3pJ%!F{XW}m{ z3d59&KlvXC{E@&P3H*`39|`=Cz#j?xk-#4b{E@&P3H*`39|`;u36QQrNmsuNge`~zUf}OHqdeId``L$pxi5yE(!ixrd%fc6F&Y_{gJ>Q3H*`39|`=Cz#j?x ze=LDD|1^P$Y6}SjHPN9>aS>3W2>xFFk3|(QuHK;2P+6?fClFl8o&ri-0nNYmR39X9 z^dE{Vps-5GDc+GaXL*n)i6DVcxR#NOsDDe>ghlx%#ub6^UV5!XmC|9261^a)Ohro$ z-XJj9cv+u5>*8*0qp*3cXK=%1msNMQ`dT!@|9%(&t2xOiqakn*T|Pwb!oNj9=x7@s zA#5N{OY&)~C;pIp5u|_w3VKRT;+iHTCCy)-;e;*g$iwU(C57=gys#e>q9(nj%g(RkW8e%!lChCo?2inoi& z^}Ng4y6I?;d#nahP|;FUg3i_DqK!L`(ORpxqD#N^r08n0QeoWZbidu?lFDl6K!8_xsIHHax?bB~a+90LrS!#Th=qgPL?2UdaYqaks%l=fOoLw6^&HnnBBj2HU?X z)9K(uN87J%h`dTqE*R6s1GU z{jv@CM@OOA{_{Pz6R7a+5k0%e!WA&L#dPI9^$f6Ox&E|3Y7*2xwCxCf!h}|<-~)<; z6(~qO%oUjP2B?Ia(Q`;FfRvcA*RSsXghP|p9vSZ&0AD9EohE#Xp@aYP-+Uv#;ZA+A zN6Fj+uw?(v$LOIsC_0qvmS;Z$<3Bx;I{x$ZDJB zcUQ|jWjm`TsWZQu=?qqY$vlUD<2fm`o9fJ1O>mueHKEa&&Ko8?rZNNXm z=0Mu~TOj;0|4R$sOGwCw$}0P63?OHpuT}du81(9D*_WryFsf>Q@;ufCye=9apv$X( zPc$vBQAu9};j{9RC#yQ(^x>Use0T>jHX(dP)1(z@4VtX?V~Yf>cDL}Izl#93q104` z_j7nM^2U`*Gu5!*Q;XQj?q-M|_pFr~t$;(`-<#owI2as6X!g~J11XB@Dj%4)Lg7Fs zg-+u5x$UjX$sNR)o?8-2zdD|Q`d!F(KZ9tf`p^=J7~;VG`V4)}gF?7?aJD$juL#a% zao8A&WB{l8G?T5#1z|Uh^Z|$9pS)g_LFbIo=pztj1Up z-`+sj@~G&p`++3z;Vu=Vn2Qw}C+z1DRwXUh zmoROg*aqPpvS_EpPmxG{ca-09=_ssn#~XHY*vLD?pk84)HB2uPaAdum`?Yt8sHmS) z#Z8(NwCZGx^{jFrUKSWZx5Sc!8kg$23}i*(inB+i?xaMcoV<=F4B`^dc7LU}-fq#T zX49dFiEvM}s6>2L8${xni9V(WT%u7ELeiVccM*8);}~%_@eurYO~SL^RWA6E6`x?U z!~mQ_+Gf}83ST_zP52?lJa2qq%xRa|NkbgJ#MQ@enH!HNy*yMV;fjV)_g}BFvBsm) zwezn8*yEKC(B1I6Eq+u|@;*3bgL_Hzl>A!M!8wgRD$K5Hp#I6S#U*zSp?5-a+-^4; z;|D^{?r!EdhEFPoc|ZPXgsb6%m#N_gaYFKuuE_`;R4B7>{TU%G^g%aE z$lJvOD1YC;alNBzxP||A?u>04@hkL)B@%w1cog4-J;q-|ahb##+mwoZXyT5o`PGB6 zcsgKty|sBa{=CzQA*@*u?a+41_aPsVq)Jjbvbb#G@~t6m*WGzd$BnBkhM8FKu;8%EYbV#!A+RSyfS=Ek3Kix%Lmk*dgHHQ}vYu_7g=Tr- zdd80jAiYDK_+FtA@Z5waxD27jg{i8eSV!97(DHJB{g(y!xoh?bgJwUlD8>d?YT{wy zUS2&jVrN#j0?zD$uEsl9^>%4lXlxkKPdZ4n@S9!XjqgfsiQaxzCk7 zaI2q6Zhzcc*sseHRps3PzsrvJszv^Q3}#lE3Bn&>6!rF(Ut4jw^Add)vH<;O#JcfH*I~``#TER$RWgTB54!*44 z@}W7T2(*56OPTZShEd!i+qSWEKw4k#IN!-e&=P!eJKM=B5P4we_3-I(AhG|uG3~x4 z@Y_nT)>G_0Jp0A_p@Tv-$O@lGugRzf8x9xE)t{Ja*45H{a-gHrNJBDR+dd*RF#QC4RK65o1`pEl*H(g8spM>QI z?#;>I-9XlftD@(@o<>hq4vBamGjwsCXJ<4tU(p!m+jpP1Pp+l^s-uaA%-Vea7mp@F zyVh9vr$-ZT4`*7neo00?@$|9Ql^CW>ig2a`7_A*~`o-27uTuJ~<_5jIFaKXYl#qhN z{(2}O1&0~UoO}J(Lx}?Eq(e+1tG|f>$izbl-G9lUggoIt4keUw#DNW zm-a2wC0x_Ts;)ILHA)0v^$E@Q_9>fTZ!t~L?Mfk7{yf(sOtlSZQoFS74!s`i_C1zx zd(;{pEqcdXdhHGj9shc__0(j*|Z^4ezZuMHRcfcb0ip{nJ9N5rDAE8w!0y=ChO_>`K zz+2}Duhg;tpg1oeTlvfj`Z0HAyT9{?^cNH5c_X6WoMM7IXVfXkKBlLZd&3*9d#HS9 z_x^L>*lS$*#NI(B8YOz;sz0q&?2w#@i|a0uyh3bE*{s0{248=7re6iHdc! 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Thus, we can set the fundamental frequency, $f_1$, (also equal to the array spacing) equal to the wave frequency. We analyzed the system response in the frequency domain and determined that 10 frequencies was sufficient to capture the relevant dynamics including the nonlinear effects. Using the lowest number of frequencies possible (while still maintaining accuracy) is very important to minimize degrees of freedom and computation time for the optimization solver.\n", + "\n", + "The wave environment must be specified as a 2-dimensional `xarray.DataArray` containing the complex amplitude (m). \n", + "The two coordinates are the radial frequency ``omega`` (rad/s) and the direction ``wave_direction`` (rad). \n", + "The `wecopttool.waves` submodule contains functions for creating this `xarray.DataArray` for different types of wave environments. We will use the `wecopttool.waves.regular_wave` function to create the regular wave. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "amplitude = 0.0625 \n", + "wavefreq = 0.3\n", + "phase = 30\n", + "wavedir = 0\n", + "\n", + "f1 = wavefreq\n", + "nfreq = 10\n", + "\n", + "waves = wot.waves.regular_wave(f1, nfreq, wavefreq, amplitude, phase, wavedir)" + ] + }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Frequency and mesh check\n", - "We will analyze 50 frequencies with a spacing of 0.05 Hz. These frequencies will be used for the Fourier representation of both the wave and the desired PTO force in the pseudo-spectral problem. See the Theory section of the Documentation for more details on the pseudo-spectral problem formulation.\n", + "We already defined the fundamental frequency equal to the wave frequency and the number of frequencies to include all energetic harmonics. These frequencies will be used for the Fourier representation of both the wave and the desired PTO force in the pseudo-spectral problem. See the Theory section of the Documentation for more details on the pseudo-spectral problem formulation.\n", "\n", "The `fb.minimal_computable_wavelength` parameter checks the mesh to determine the minimum wavelength that can be reliably computed using Capytaine. This warning is ignored here because the BEM results have been validated, but can be used as a guide for mesh refinement to ensure accurate BEM results." ] @@ -131,8 +162,6 @@ "metadata": {}, "outputs": [], "source": [ - "f1 = 0.05\n", - "nfreq = 50\n", "freq = wot.frequency(f1, nfreq, False) # False -> no zero frequency\n", "\n", "min_computable_wavelength = fb.minimal_computable_wavelength\n", @@ -252,32 +281,6 @@ "Note: We might receive a warning regarding negative linear damping values. Per default, WecOptTool ensures that the BEM data does not contain non-negative damping values. If you would like to correct the BEM solution manually to a minimum damping value you can specify `min_damping`. " ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Waves\n", - "The wave environment must be specified as a 2-dimensional `xarray.DataArray` containing the complex amplitude (m). \n", - "The two coordinates are the radial frequency ``omega`` (rad/s) and the direction ``wave_direction`` (rad). \n", - "The `wecopttool.waves` submodule contains functions for creating this `xarray.DataArray` for different types of wave environments. \n", - "\n", - "In this case we will use a regular wave with a frequency of 0.3 Hz and an amplitude of 0.0625 m. \n", - "We will use the `wecopttool.waves.regular_wave` function. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "amplitude = 0.0625 \n", - "wavefreq = 0.3\n", - "phase = 30\n", - "wavedir = 0\n", - "waves = wot.waves.regular_wave(f1, nfreq, wavefreq, amplitude, phase, wavedir)" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -820,8 +823,7 @@ "metadata": {}, "source": [ "### Results\n", - "From a quick plot of the results, we see that the power absorption (where negative power is power absorbed by the device) generally improves for smaller values of `r2`.\n", - "It is also clear that when the WEC is cylindrical (where `r2=0.88`), power absorption is reduced." + "From a quick plot of the results, we see that the power absorption (where negative power is power absorbed by the device) generally improves for larger values of `r2`." ] }, { diff --git a/examples/tutorial_2_AquaHarmonics.ipynb b/examples/tutorial_2_AquaHarmonics.ipynb index 83df7e2d3..b97221d4d 100644 --- a/examples/tutorial_2_AquaHarmonics.ipynb +++ b/examples/tutorial_2_AquaHarmonics.ipynb @@ -27,9 +27,6 @@ "import matplotlib.pyplot as plt\n", "from matplotlib import cm\n", "from scipy.optimize import brute\n", - "import logging\n", - "logging.basicConfig()\n", - "logging.getLogger().setLevel(logging.DEBUG)\n", "\n", "import wecopttool as wot" ] @@ -106,6 +103,33 @@ "fb.mass = np.atleast_2d(5e3) # [kg]" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Waves\n", + "A regular wave will allow us to get a good initial understanding of the optimal control trajectory.\n", + "Note that we need to choose an appropriate fundamental frequency, $f_1$, and number of frequencies, nfreq, to ensure that \n", + "the wave frequency and harmonic components are within the frequency array we use to calculate the hydrodynamic data." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "amplitude = 0.5\n", + "wavefreq = 0.24/2 \n", + "phase = 30\n", + "wavedir = 0\n", + "\n", + "f1 = wavefreq # [Hz]\n", + "nfreq = 10\n", + "\n", + "waves = wot.waves.regular_wave(f1, nfreq, wavefreq, amplitude, phase, wavedir)" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -113,7 +137,7 @@ "#### Hydrodynamics\n", "\n", "Next we will run the boundary element model (BEM) [Capytaine](https://github.com/capytaine/capytaine) to obtain the hydrodynamic coefficients for the hull.\n", - "Before running the BEM solver, we must specify a set of frequencies at which to perform the calculations.\n", + "Before running the BEM solver, we must create a set of frequencies at which to perform the calculations.\n", "For `WecOptTool`, these must be a regularly spaced frequency array." ] }, @@ -123,8 +147,6 @@ "metadata": {}, "outputs": [], "source": [ - "f1 = 0.06 # [Hz]\n", - "nfreq = 20\n", "freq = wot.frequency(f1, nfreq, False) # False -> no zero frequency\n", "\n", "bem_data = wot.run_bem(fb, freq, rho=rho, g=g)" @@ -489,28 +511,6 @@ ")" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Waves\n", - "A regular wave will allow us to get a good initial understanding of the optimal control trajectory.\n", - "Note that we'll want to choose a wave frequency that is within the frequency array we used to calculate the hydrodynamic data." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "amplitude = 0.5\n", - "wavefreq = 0.24/2 \n", - "phase = 30\n", - "wavedir = 0\n", - "waves = wot.waves.regular_wave(f1, nfreq, wavefreq, amplitude, phase, wavedir)" - ] - }, { "cell_type": "markdown", "metadata": {}, diff --git a/examples/tutorial_3_LUPA.ipynb b/examples/tutorial_3_LUPA.ipynb index 065ae977f..7bae07c5f 100644 --- a/examples/tutorial_3_LUPA.ipynb +++ b/examples/tutorial_3_LUPA.ipynb @@ -343,8 +343,18 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### BEM\n", - "With the LUPA geometry and physical properties fully defined, we can now run Capytaine to calculate the hydrodynamic and hydrostatic coefficients of the device, as done in previous tutorials. Capytaine can handle generalized modes and will calculate the coefficients for our 4 degrees of freedom. Because we are now using irregular waves, we need significantly more frequencies to capture the entire wave spectrum. The BEM coefficients have been pre-calculated and are saved in a file. To re-run the BEM, which takes about 1 hour, simply move or delete the existing `data/bem.nc` file." + "### Waves\n", + "Oregon State University has defined two sets of wave testing conditions for the LUPA: one corresponding to the PacWave South site and a scaling factor of 25, and one for the PacWave North site and a scaling factor of 20. \n", + "For each site/scale they provide four wave conditions to test at the Oregon State Large Wave Flume (LWF): the maximum 90th percentile, maximum percent annual energy, maximum occurrence, and minimum 10th percentile. \n", + "\n", + "In this tutorial we will use the PacWave South conditions scaled to the LWF and will design for the maximum occurrence wave. \n", + "The wave conditions are specified in terms of significant wave height and peak period. Waves are mostly fully developed at the PacWave site, so we will use a Pierson-Moskowitz wave spectrum. \n", + "\n", + "The irregular wave is created with multiple phase realizations. The solver will be run once for each wave phase realization. Each of these phase realizations leads to a slightly different result for optimal average power. Thus, for irregular wave conditions, it is recommended to include multiple phase realizations. The number of phase realizations required is dependent on the desired accuracy of the result, but it is generally recommended to include enough realizations for the total simulation time to equal 20 minutes. For this tutorial, the number of realizations has been set to 2 to reduce the total run-time. \n", + "\n", + "$t_{total} = \\frac{nrealizations}{f1} $\n", + "\n", + "Because we are now using irregular waves, we need significantly more frequencies to capture the entire wave spectrum and WEC response. " ] }, { @@ -353,9 +363,57 @@ "metadata": {}, "outputs": [], "source": [ - "# compute hydrodynamic coefficients\n", + "waves = {}\n", + "\n", "f1 = 0.02\n", "nfreq = 50\n", + "\n", + "# regular (for testing/setup)\n", + "amplitude = 0.1\n", + "wavefreq = 0.4\n", + "phase = 0\n", + "wavedir = 0\n", + "waves['regular'] = wot.waves.regular_wave(f1, nfreq, wavefreq, amplitude, phase, wavedir)\n", + "\n", + "nrealizations = 2\n", + "\n", + "# irregular wave cases from OSU\n", + "wave_cases = {\n", + " 'south_max_90': {'Hs': 0.21, 'Tp': 3.09}, \n", + " 'south_max_annual': {'Hs': 0.13, 'Tp': 2.35},\n", + " 'south_max_occurrence': {'Hs': 0.07, 'Tp': 1.90},\n", + " 'south_min_10': {'Hs': 0.04, 'Tp': 1.48}, \n", + " 'north_max_90': {'Hs': 0.25, 'Tp': 3.46}, \n", + " 'north_max_annual': {'Hs': 0.16, 'Tp': 2.63},\n", + " 'north_max_occurrence': {'Hs': 0.09, 'Tp': 2.13},\n", + " 'north_min_10': {'Hs': 0.05, 'Tp': 1.68}, \n", + "}\n", + "\n", + "def irregular_wave(hs, tp):\n", + " fp = 1/tp\n", + " spectrum = lambda f: wot.waves.pierson_moskowitz_spectrum(f, fp, hs)\n", + " efth = wot.waves.omnidirectional_spectrum(f1, nfreq, spectrum, \"Pierson-Moskowitz\")\n", + " return wot.waves.long_crested_wave(efth,nrealizations=nrealizations)\n", + "\n", + "for case, data in wave_cases.items():\n", + " waves[case] = irregular_wave(data['Hs'], data['Tp'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### BEM\n", + "With the LUPA geometry and physical properties fully defined, we can now run Capytaine to calculate the hydrodynamic and hydrostatic coefficients of the device, as done in previous tutorials. Capytaine can handle generalized modes and will calculate the coefficients for our 4 degrees of freedom. The BEM coefficients have been pre-calculated and are saved in a file. To re-run the BEM, which takes about 1 hour, simply move or delete the existing `data/bem.nc` file." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# compute hydrodynamic coefficients\n", "freq = wot.frequency(f1, nfreq, False)\n", "\n", "# read BEM data file if it exists\n", @@ -947,65 +1005,6 @@ ")" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Waves\n", - "Oregon State University has defined two sets of wave testing conditions for the LUPA: one corresponding to the PacWave South site and a scaling factor of 25, and one for the PacWave North site and a scaling factor of 20. \n", - "For each site/scale they provide four wave conditions to test at the Oregon State Large Wave Flume (LWF): the maximum 90th percentile, maximum percent annual energy, maximum occurrence, and minimum 10th percentile. \n", - "\n", - "In this tutorial we will use the PacWave South conditions scaled to the LWF and will design for the maximum occurrence wave. \n", - "The wave conditions are specified in terms of significant wave height and peak period. Waves are mostly fully developed at the PacWave site, so we will use a Pierson-Moskowitz wave spectrum. \n", - "\n", - "The irregular wave is created with multiple phase realizations. For this tutorial, the number of realizations has been overwritten to 2 to reduce the total run-time. The solver will be run once for each wave phase realization. Each of these phase realizations leads to a slightly different result for optimal average power. Thus, for irregular wave conditions, it is recommended to include multiple phase realizations. The number of phase realizations required is dependent on the desired accuracy of the result, but it is generally recommended to include enough realizations for the total simulation time to equal 20 minutes.\n", - "\n", - "$t_{total} = \\frac{nrealizations}{f1} $" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "waves = {}\n", - "\n", - "# regular (for testing/setup)\n", - "amplitude = 0.1\n", - "wavefreq = 0.4\n", - "phase = 0\n", - "wavedir = 0\n", - "waves['regular'] = wot.waves.regular_wave(f1, nfreq, wavefreq, amplitude, phase, wavedir)\n", - "\n", - "# number of realizations to reach 20 minutes of total simulation time\n", - "minutes_needed = 20\n", - "nrealizations = minutes_needed*60*f1\n", - "print(f'Number of realizations for a 20 minute total simulation time: {nrealizations}')\n", - "nrealizations = 2 # overwrite nrealizations to reduce run-time\n", - "\n", - "# irregular wave cases from OSU\n", - "wave_cases = {\n", - " 'south_max_90': {'Hs': 0.21, 'Tp': 3.09}, \n", - " 'south_max_annual': {'Hs': 0.13, 'Tp': 2.35},\n", - " 'south_max_occurrence': {'Hs': 0.07, 'Tp': 1.90},\n", - " 'south_min_10': {'Hs': 0.04, 'Tp': 1.48}, \n", - " 'north_max_90': {'Hs': 0.25, 'Tp': 3.46}, \n", - " 'north_max_annual': {'Hs': 0.16, 'Tp': 2.63},\n", - " 'north_max_occurrence': {'Hs': 0.09, 'Tp': 2.13},\n", - " 'north_min_10': {'Hs': 0.05, 'Tp': 1.68}, \n", - "}\n", - "\n", - "def irregular_wave(hs, tp):\n", - " fp = 1/tp\n", - " spectrum = lambda f: wot.waves.pierson_moskowitz_spectrum(f, fp, hs)\n", - " efth = wot.waves.omnidirectional_spectrum(f1, nfreq, spectrum, \"Pierson-Moskowitz\")\n", - " return wot.waves.long_crested_wave(efth,nrealizations)\n", - "\n", - "for case, data in wave_cases.items():\n", - " waves[case] = irregular_wave(data['Hs'], data['Tp'])" - ] - }, { "cell_type": "markdown", "metadata": {}, diff --git a/examples/tutorial_4_Pioneer.ipynb b/examples/tutorial_4_Pioneer.ipynb index 4ab16ab2b..470e251ac 100644 --- a/examples/tutorial_4_Pioneer.ipynb +++ b/examples/tutorial_4_Pioneer.ipynb @@ -48,12 +48,12 @@ "## 1. Model setup\n", "\n", "### 1.1 Waves\n", - "We start with the setting up the different waves we want to model, as this will inform what to select for our frequency range, which we need throughout the rest of the problem setup. \n", + "We start with setting up the different waves we want to model, as this will inform what to select for our frequency range, which we need throughout the rest of the problem setup. \n", "We will consider two waves: a regular wave and an irregular wave, both with typical characteristics of the deployment site. The regular wave is roughly at 0.35 Hz, the known pitch resonance frequency of the buoy. The irregular wave has a peak period of 5 seconds, matching that of the deployment site. \n", "\n", - "The irregular wave is created with multiple phase realizations. For this tutorial, the number of realizations has been overwritten to 3 to reduce the total run-time. The solver will be run once for each wave phase realization. Each of these phase realizations leads to a slightly different result for optimal average power. Thus, for irregular wave conditions, it is recommended to include multiple phase realizations and average the resultant optimal power. The number of phase realizations required is dependent on the desired accuracy of the result, but it is generally recommended to include enough realizations for the total simulation time to equal 20 minutes.\n", + "Please refer to Tutorial 3 for information about selecting the number of realizations. For the purpose of the tutorial, the number of realizations has been set to 2 to reduce run-time.\n", "\n", - "$t_{total} = \\frac{nrealizations}{f1} $" + "The procedure for determining an appropriate frequency array for irregular wave conditions is detailed at the end of this tutorial." ] }, { @@ -62,8 +62,9 @@ "metadata": {}, "outputs": [], "source": [ - "f1 = 0.025 # Hz\n", - "nfreq = 75" + "fend = 1.875\n", + "nfreq = 150\n", + "f1 = fend/nfreq # Hz" ] }, { @@ -81,16 +82,12 @@ "Hs = 1.5\n", "Tp = 5 \n", "\n", - "# number of realizations to reach 20 minutes of total simulation time\n", - "minutes_needed = 20\n", - "nrealizations = minutes_needed*60*f1\n", - "print(f'Number of realizations for a 20 minute total simulation time: {nrealizations}')\n", - "nrealizations = 3 # overwrite nrealizations to reduce run-time\n", + "nrealizations = 2\n", "\n", "fp = 1/Tp\n", "spectrum = lambda f: wot.waves.pierson_moskowitz_spectrum(f, fp, Hs)\n", "efth = wot.waves.omnidirectional_spectrum(f1, nfreq, spectrum, \"Pierson-Moskowitz\")\n", - "waves_irregular = wot.waves.long_crested_wave(efth, nrealizations)" + "waves_irregular = wot.waves.long_crested_wave(efth, nrealizations=nrealizations)" ] }, { @@ -854,7 +851,9 @@ "### 3.1 Solve\n", "We will now run the same analysis for irregular waves. \n", "\n", - "An interesting result is that due to the narrow banded resonance of the flywheel, the controller attempts to make the excitation force monochromatic with the resonant frequency. To achieve this it uses significant reactive power (power by the PTO into the system). This is still worth it, resulting in a larger average electrical power output. " + "An interesting result is that due to the narrow banded resonance of the flywheel, the controller attempts to make the excitation force monochromatic with the resonant frequency. To achieve this it uses significant reactive power (power by the PTO into the system). This is still worth it, resulting in a larger average electrical power output. \n", + "\n", + "As noted previously, the optimization problem is solved for each wave realization. The optimal average power shown is the total average across the different realizations." ] }, { @@ -959,6 +958,119 @@ " axi.autoscale(axis='x', tight=True)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3.1 Notes on selection of frequency array and realizations\n", + "\n", + "In order to determine a suitable frequency range, it is best to complete an optimization with a large frequency range and examine the frequency domain results to see how large a range of frequencies is necessary to capture the relavent dynamics. Often, capturing nonlinear dynamics (such as due to constraints) requires a larger frequency range. In the case of the Pioneer WEC, it is clear that (likely due to the PTO torque constraint) the nonlinearities cause excitation at the odd harmonics of the excited frequency (which is slightly larger than the wave frequency itself for the Pioneer system). Specifically, the PTO force has significant peaks around the excited frequency and at the 3rd harmonic (with a small peak at the 5th harmonic as well) which leads to peaks in the frequency spectrum of electrical power at the 2nd, 4th, and 6th harmonics. The frequency values are normalized in the plots below to more clearly show the harmonics. In order to capture most of these nonlinearities, we chose a frequency range from 0 to 1.875 for this tutorial. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "filename = 'data/tutorial_4_freq_range.nc'\n", + "results = wot.read_netcdf(filename)\n", + "\n", + "excited_freq = abs(results['pos']).argmax()\n", + "normalized_freq = results['freq']/results['freq'][excited_freq]\n", + "\n", + "fig, ax = plt.subplots(5,1,figsize=(8, 12))\n", + "ax[0].stem(normalized_freq,abs(results['exc_force']))\n", + "ax[0].set_ylabel('Excitation Torque [N-m]')\n", + "ax[1].stem(normalized_freq,abs(results['pos']))\n", + "ax[1].set_ylabel('WEC Position [rad]')\n", + "ax[2].stem(normalized_freq,abs(results['vel']))\n", + "ax[2].set_ylabel('WEC Velocity [rad/s]')\n", + "ax[3].stem(normalized_freq,abs(results['pto_force']))\n", + "ax[3].set_ylabel('PTO Torque [N-m]')\n", + "ax[4].stem(normalized_freq,abs(results['power']))\n", + "ax[4].set_ylabel('Electrical Power [W]')\n", + "ax[4].set_xlabel('Frequency (normalized according to excited frequency)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "After determining a frequency range of interest, it is important to make sure enough frequencies are included in the array to generate accurate results. The Pioneer WEC has a very narrow banded response, which means it requires a large number of frequencies to model the response accurately. For any WecOptTool analysis in irregular wave conditions, it is best to complete a convergence study on the number of frequencies in the wave conditions of interest. The convergence study shown below varies the number of frequencies and includes enough realizations of each array to reach a 20 minute total simulation time (discussed further below). As shown below, an array of 150 frequencies is sufficient to model the system to within about 2% of the actual resultant mean power. Because the computation time increases with increasing number of frequencies, it is desirable to select the number of frequencies to minimize the computation time while meeting the intended accuracy. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "filename = 'data/tutorial_4_nfreqs.nc'\n", + "results = wot.read_netcdf(filename)\n", + "\n", + "power_percent_error = abs((results['power'] - results['power'][-1])/results['power'][-1])*100\n", + "time_per_realization = results['comp_time']/results['nrealizations']\n", + "\n", + "plt.figure()\n", + "plt.plot(results['nfreqs'],power_percent_error)\n", + "plt.xlabel('Number of Frequencies in Array')\n", + "plt.ylabel('Absolute Mean Power Error [%]')\n", + "\n", + "plt.figure()\n", + "plt.semilogy(results['nfreqs'],time_per_realization/60)\n", + "plt.xlabel('Number of Frequencies in Array')\n", + "plt.ylabel('Computation time per realization [min]')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Next, the number of phase realizations should be considered. Generally, it is recommended that enough realizations be used for the total simulation time to equal 20 minutes. \n", + "\n", + "$t_{total} = \\frac{nrealizations}{f1} $\n", + "\n", + "Although it usually leads to consistent results, this recommendation is somewhat arbitrary. To better understand the effect of the number of realizations on the overall result, it can be useful to complete a convergence study. The actual number of realizations needed depends on the problem itself (dynamics, constraints, etc.) and the desired precision of the result. As shown below, in the case of the Pioneer WEC, after about 15 realizations (20 minutes total simulation time) the result is within about 0.5% of the converged result which is deemed sufficient for this study." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "filename = 'data/tutorial_4_nrealizations.nc'\n", + "results = wot.read_netcdf(filename)\n", + "\n", + "rolling_mean = []\n", + "for ind in range(len(results['power'])):\n", + " rolling_mean.append(np.mean(results['power'][0:ind]))\n", + " \n", + "error_bar = rolling_mean[-1]*.005\n", + "\n", + "fig = plt.figure()\n", + "ax1 = fig.add_subplot(111)\n", + "ax2 = ax1.twiny()\n", + "ax1.plot(results['realization'],rolling_mean,label='Rolling Mean')\n", + "ax1.set_xlabel('Number of Realizations')\n", + "ax1.set_ylabel('Average Power [W]')\n", + "ax1.axhline(rolling_mean[-1]+error_bar,ls='--',label='0.5% error')\n", + "ax1.axhline(rolling_mean[-1]-error_bar,ls='--')\n", + "ax1.legend()\n", + "\n", + "tper_realization = (results['nfreq']/results['fend']).values # time per realization\n", + "\n", + "def tick_function(X):\n", + " V = tper_realization*X/60\n", + " return [\"%.1f\" % z for z in V]\n", + "\n", + "ax2.set_xticks(ax1.get_xticks())\n", + "ax2.set_xbound(ax1.get_xbound())\n", + "ax2.set_xticklabels(tick_function(ax1.get_xticks()))\n", + "ax2.set_xlabel('Total simulation time [min]')" + ] + }, { "cell_type": "code", "execution_count": null, From 6fdd660fd1f9f38835b95fb305d16992c101a529 Mon Sep 17 00:00:00 2001 From: Daniel Gaebele <86246113+dtgaebe@users.noreply.github.com> Date: Wed, 3 Apr 2024 14:00:35 -0700 Subject: [PATCH 11/30] issue 321 fd_to_td() bug (#329) * bug bix : DC and Nyquist frequency should not be devided by two before ifft * Changed td_to_fd to scale single sided frequency components rather than TD signal * minor bug fix from issue332 #332 --- wecopttool/core.py | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/wecopttool/core.py b/wecopttool/core.py index e8b5b3fbc..4008ae0fc 100644 --- a/wecopttool/core.py +++ b/wecopttool/core.py @@ -705,7 +705,7 @@ def solve(self, results = [] # x_wec scaling vector - if scale_x_wec == None: + if scale_x_wec is None: scale_x_wec = [1.0] * self.ndof elif isinstance(scale_x_wec, float) or isinstance(scale_x_wec, int): scale_x_wec = [scale_x_wec] * self.ndof @@ -1752,7 +1752,8 @@ def fd_to_td( td = tmat @ complex_to_real(fd, zero_freq) elif (f1 is None) and (nfreq is None): n = 2*(fd.shape[0]-1) - td = np.fft.irfft(fd/2, n=n, axis=0, norm='forward') + fd = np.concatenate((fd[:1, :], fd[1:-1, :]/2, fd[-1:, :])) + td = np.fft.irfft(fd, n=n, axis=0, norm='forward') else: raise ValueError( "Provide either both 'f1' and 'nfreq' or neither.") @@ -1788,10 +1789,10 @@ def td_to_fd( td= atleast_2d(td) n = td.shape[0] if fft: - fd = np.fft.rfft(td*2, n=n, axis=0, norm='forward') + fd = np.fft.rfft(td, n=n, axis=0, norm='forward') else: - fd = np.dot(dft(n, 'n')[:n//2+1, :], td*2) - fd = np.concatenate((fd[:1, :]/2, fd[1:-1, :], fd[-1:, :]/2)) + fd = np.dot(dft(n, 'n')[:n//2+1, :], td) + fd = np.concatenate((fd[:1, :], fd[1:-1, :]*2, fd[-1:, :])) if not zero_freq: fd = fd[1:, :] return fd From c6f858ad14dfb62275747e4457b0810e09b89b65 Mon Sep 17 00:00:00 2001 From: Ryan Coe Date: Wed, 3 Apr 2024 15:27:45 -0600 Subject: [PATCH 12/30] nodf -> ndof (#334) --- wecopttool/core.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/wecopttool/core.py b/wecopttool/core.py index 4008ae0fc..2db40b24a 100644 --- a/wecopttool/core.py +++ b/wecopttool/core.py @@ -323,7 +323,7 @@ def from_bem( corrected. Also includes inertia and hydrostatic stiffness. friction Linear friction, in addition to radiation damping, of size - :python:`(nodf, ndof)`. + :python:`(ndof, ndof)`. :python:`None` if included in :python:`bem_data` or to set to zero. f_add @@ -2204,7 +2204,7 @@ def add_linear_friction( corrected. Also includes inertia and hydrostatic stiffness. friction Linear friction, in addition to radiation damping, of size - :python:`(nodf, ndof)`. + :python:`(ndof, ndof)`. :python:`None` if included in :python:`bem_data` or to set to zero. """ dims = ['radiating_dof', 'influenced_dof'] From 0b6cd08cbbe1c71c1365636f38e91a3d4a3c3a8d Mon Sep 17 00:00:00 2001 From: Ryan Coe Date: Wed, 3 Apr 2024 15:42:05 -0600 Subject: [PATCH 13/30] add DOI for Daniel's paper (#336) --- docs/source/wecopttool_refs.bib | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/source/wecopttool_refs.bib b/docs/source/wecopttool_refs.bib index fe4cf2645..21e553e2d 100644 --- a/docs/source/wecopttool_refs.bib +++ b/docs/source/wecopttool_refs.bib @@ -7,6 +7,7 @@ @inproceedings{Gaebele:2023wf date-added = {2023-01-12 14:02:25 -0700}, date-modified = {2023-10-03 08:41:16 -0600}, month = {June}, + doi = {10.1115/OMAE2023-103899}, series = {International Conference on Ocean, Offshore and Arctic Engineering}, title = {INCORPORATING EMPIRICAL NONLINEAR EFFICIENCY INTO CONTROL CO-OPTIMIZATION OF A REAL WORLD HEAVING POINT ABSORBER USING {WECOPTTOOL}}, year = {2023}} From ea039c50d010675a61514d4db170690fbd39595a Mon Sep 17 00:00:00 2001 From: Michael Devin Date: Tue, 23 Apr 2024 09:25:21 -0600 Subject: [PATCH 14/30] Tutorial cleanup (#339) * run CI on PRs against dev branch * revamped tutorial 1, including fix for #293 * more tutorial cleanup and editorial changes * more cleanup and incorporated changes in #315 * fixed tutorial 2 colormaps * finishing touches * reverted a few accidental changes * fixes as per Jeff's review comments --------- Co-authored-by: Ryan Coe --- examples/tutorial_1_WaveBot.ipynb | 412 ++++++++++++++++-------- examples/tutorial_2_AquaHarmonics.ipynb | 137 ++++---- examples/tutorial_3_LUPA.ipynb | 249 +++++++------- examples/tutorial_4_Pioneer.ipynb | 247 +++++++++----- 4 files changed, 640 insertions(+), 405 deletions(-) diff --git a/examples/tutorial_1_WaveBot.ipynb b/examples/tutorial_1_WaveBot.ipynb index 7be4ff5aa..25d7119c2 100644 --- a/examples/tutorial_1_WaveBot.ipynb +++ b/examples/tutorial_1_WaveBot.ipynb @@ -6,11 +6,11 @@ "source": [ "# Tutorial 1 - WaveBot\n", "The goal of this tutorial is to familiarize new users with how to set up and run optimization problems using WecOptTool. \n", - "It uses a one-body WEC, the WaveBot, in one degree of freedom in regular waves. \n", + "This tutorial uses a one-body WEC, the WaveBot, in one degree of freedom in regular waves. \n", "\n", "![WaveBot Photo](https://live.staticflickr.com/65535/51855905347_de87ccaaba_z.jpg)\n", "\n", - "At the end of this tutorial the user will perform control co-design of the WEC's geometry and a corresponding optimal controller to maximize electrical power. \n", + "At the end of this tutorial the user will perform control co-design of the WEC geometry and a corresponding optimal controller to maximize electrical power. \n", "We build up to this problem in three parts of successive complexity:\n", "\n", "1. [Optimal control for maximum mechanical power](#1.-Optimal-control-for-maximum-mechanical-power)\n", @@ -19,8 +19,8 @@ "\n", "We will start by loading the necessary modules: \n", "\n", - "* Import Autograd (wrapper on NumPy, required) for automatic differentiation\n", - "* Import other packages we will use in this tutorial \n", + "* Import Autograd (wrapper on NumPy, required) for [automatic differentiation](https://sandialabs.github.io/WecOptTool/theory.html#automatic-differentiation)\n", + "* Import other packages we will use in this tutorial\n", "* Import WecOptTool " ] }, @@ -35,7 +35,10 @@ "import matplotlib.pyplot as plt\n", "from scipy.optimize import brute\n", "\n", - "import wecopttool as wot" + "import wecopttool as wot\n", + "\n", + "## set colorblind-friendly colormap for plots\n", + "plt.style.use('tableau-colorblind10')" ] }, { @@ -43,42 +46,72 @@ "metadata": {}, "source": [ "## 1. Optimal control for maximum mechanical power\n", - "This example illustrates how to set up, run, and analyze a basic optimization problem within WecOptTool.\n", + "This example illustrates how to set up, run, and analyze a basic optimization problem using WecOptTool.\n", "\n", - "The objective of this example is to **find the optimal PTO force time-series** that produces the most mechanical power subject to the WEC dynamics and a maximum force the PTO can exert.\n", + "The objective of this example is to **find the optimal PTO force time series** that produces the most mechanical power subject to the WEC dynamics and a maximum force the PTO can exert.\n", "\n", "WecOptTool requires the following to be defined to successfully run its optimization routines:\n", - "- The WEC object, including all of its properties and constraints\n", - "- The wave condition\n", - "- The objective function\n", + "\n", + "* The wave environment\n", + "* The WEC object, including all of its properties and constraints\n", + "* The objective function\n", + "\n", + "The graphic below shows all the requirements for this first part of the tutorial: the wave environment on the left, the WEC object(with its relevant subcomponents) in the blue box in the middle, and the objective function (mechanical power) on the right.\n", "\n", "
\n", "\n", - "
\n", + "" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Waves and WEC geometry\n", + "The pseudo-spectral solution used in WecOptTool requires a specified set of frequencies to analyze.\n", + "To model the WEC accurately, we need to ensure the set of selected frequencies captures the full hydrodynamic response range of the WEC.\n", + "\n", + "Therefore, we start our WecOptTool model by defining this set of frequencies, the wave environment, and the mesh of the WEC geometry.\n", + "This ensures the minimum wavelength in the selected frequencies is larger than the minimum wavelength that can be analyzed with the mesh using the Boundary Element Method (BEM), which we will do [later](#bem-solution).\n", + "This is a good initial check to make sure the hydrodynamic properties results calculated with the BEM will be accurate.\n", + "\n", + "#### Frequency selection\n", + "To start with a simple case in this tutorial, we are interested in modeling a regular wave at 0.3 Hz.\n", + "In regular waves, the linear WEC system response will always occur at the wave frequency, with the nonlinear system response also occurring at the corresponding odd harmonics (3rd, 5th, etc.) of the wave frequency.\n", + "Thus, we can set the fundamental frequency in our set, $f_1$, equal to the wave frequency.\n", + "Prior WaveBot analysis has found that the nonlinear dynamics are sufficiently captured with the 3rd, 5th, 7th, and 9th harmonics.\n", + "WecOptTool assumes the spacing between frequencies equals the magnitude of $f_1$. Therefore, we will model 10 frequencies to encompass these harmonics.\n", "\n", - "The graphic shows all the requirements for this first part of the tutorial: from the wave on the left, to the objective (mechanical power) on the right.\n", - "The WEC object, with all it's components, is illustrated in the middle. The components inside the blue box are the WEC properties that are actually passed on to the optimizer.\n", - "In short, the WEC's hydrodynamic properties are modelled by\n", - "1. Defining the WEC's geometry\n", - "2. Meshing the geometry\n", - "3. Obtaining the WEC's BEM cofficients based on the mesh\n", - "4. Determening the WEC's intrinsic impedance model based on the BEM coefficients\n", + "These frequencies will be used for the Fourier representation of both the wave and the desired PTO force in the pseudo-spectral problem.\n", + "See the [Theory](https://sandialabs.github.io/WecOptTool/theory.html) section of the WecOptTool documentation for more details on the pseudo-spectral problem formulation.\n", "\n", - "For this first part of the tutorial, the heave-only, WEC-PTO kinematics are trivial (Unity) and the PTO is assumed to be lossless." + "It is important to use the lowest number of frequencies possible while still maintaining accuracy in order to minimize degrees of freedom and computation time for the optimization solver." ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": null, "metadata": {}, + "outputs": [], "source": [ - "### WEC object\n", - "In this section we will create the `WEC` object, which contains all the information about the WEC and its dynamics. This constitutes the vast majority of the setup required to run WecOptTool.\n", + "wavefreq = 0.3 # Hz\n", + "f1 = wavefreq\n", + "nfreq = 10\n", "\n", - "Our `WEC` object requires information about the mesh, degrees of freedom, mass and hydrostatic properties, linear hydrodynamic coefficients (from a BEM solution), any additional dynamic forces (e.g. PTO force, mooring, non-linear hydrodynamics), and constraints (e.g. maximum PTO extension). \n", - "In this case, the only additional force will be the PTO force and the only constraint will be a maximum PTO force of $2,000 N$.\n", + "freq = wot.frequency(f1, nfreq, False) # False -> no zero frequency" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Waves\n", + "WecOptTool is configured to have the wave environment specified as a 2-dimensional [`xarray.DataArray`](https://docs.xarray.dev/en/latest/user-guide/data-structures.html#dataarray) containing the complex wave amplitudes (in meters), wave phases (in degrees), and directions (in degrees).\n", + "We will use an amplitude of 0.0625 meters, a phase of 30 degrees, and direction 0 for this tutorial.\n", + "The two coordinates are the radial frequency ``omega`` (in rad/s) and the direction ``wave_direction`` (in radians).\n", "\n", - "#### Mesh\n", - "First, we will create a surface mesh for the hull and store it using the `FloatingBody` object from Capytaine. The WaveBot mesh is pre-defined in the `wecopttool.geom` module, so we will call it directly from there. We will only model the heave degree of freedom in this case. Note that the Capytaine `from_meshio` method can also import from other file types (STL, VTK, MSH, etc.)" + "The [`xarray`](https://docs.xarray.dev/en/latest/index.html) package has a pretty steep learning curve, so WecOptTool includes the `waves` module containing more intuitive functions that create `xarray.DataArray` objects for different types of wave environments.\n", + "In this case, we will use the `wecopttool.waves.regular_wave` function with our wave frequency, amplitude, phase, and direction:" ] }, { @@ -87,22 +120,21 @@ "metadata": {}, "outputs": [], "source": [ - "wb = wot.geom.WaveBot() # use standard dimensions\n", - "mesh_size_factor = 0.5 # 1.0 for default, smaller to refine mesh\n", - "mesh = wb.mesh(mesh_size_factor)\n", - "fb = cpy.FloatingBody.from_meshio(mesh, name=\"WaveBot\")\n", - "fb.add_translation_dof(name=\"Heave\")\n", - "ndof = fb.nb_dofs" + "amplitude = 0.0625 # m\n", + "phase = 30 # degrees\n", + "wavedir = 0 # degrees\n", + "\n", + "waves = wot.waves.regular_wave(f1, nfreq, wavefreq, amplitude, phase, wavedir)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "At this point we can visualize the mesh for inspection.\n", - "Capytaine has built-in methods for visualizing meshes (`fb.show`, and `fb.show_matplotlib`). \n", - "When running outside a Notebook, these are interactive. \n", - "The included WaveBot example also has a method for plotting the cross-section of the device. " + "#### WEC geometry mesh\n", + "Now we will create a surface mesh for the WEC hull and store it using the `FloatingBody` object from Capytaine.\n", + "The WaveBot mesh is pre-defined in the `wecopttool.geom` module, so we will call it directly from there.\n", + "Note that the Capytaine `from_meshio` method can also import from other file types (STL, VTK, MSH, etc.), click [here](https://pypi.org/project/meshio/) for the full list of compatible mesh file types." ] }, { @@ -111,22 +143,20 @@ "metadata": {}, "outputs": [], "source": [ - "fb.show_matplotlib()\n", - "_ = wb.plot_cross_section(show=True) # specific to WaveBot" + "wb = wot.geom.WaveBot() # use standard dimensions\n", + "mesh_size_factor = 0.5 # 1.0 for default, smaller to refine mesh\n", + "mesh = wb.mesh(mesh_size_factor)\n", + "fb = cpy.FloatingBody.from_meshio(mesh, name=\"WaveBot\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Waves\n", - "In this case we will use a regular wave with a frequency of 0.3 Hz and an amplitude of 0.0625 m. \n", - "\n", - "In regular waves, the WEC system response will occur at the wave frequency and corresponding odd harmonics (3rd, 5th, etc.) of the wave frequency (due to nonlinearities such as PTO force constraints). Thus, we can set the fundamental frequency, $f_1$, (also equal to the array spacing) equal to the wave frequency. We analyzed the system response in the frequency domain and determined that 10 frequencies was sufficient to capture the relevant dynamics including the nonlinear effects. Using the lowest number of frequencies possible (while still maintaining accuracy) is very important to minimize degrees of freedom and computation time for the optimization solver.\n", - "\n", - "The wave environment must be specified as a 2-dimensional `xarray.DataArray` containing the complex amplitude (m). \n", - "The two coordinates are the radial frequency ``omega`` (rad/s) and the direction ``wave_direction`` (rad). \n", - "The `wecopttool.waves` submodule contains functions for creating this `xarray.DataArray` for different types of wave environments. We will use the `wecopttool.waves.regular_wave` function to create the regular wave. " + "We can also visualize the mesh for inspection.\n", + "Capytaine has built-in methods for visualizing meshes (`fb.show`, and `fb.show_matplotlib`). \n", + "These methods are interactive when used outside a Jupyter notebook. \n", + "The included WaveBot example also has a method for plotting the cross-section of the device, `plot_cross_section`. " ] }, { @@ -135,25 +165,20 @@ "metadata": {}, "outputs": [], "source": [ - "amplitude = 0.0625 \n", - "wavefreq = 0.3\n", - "phase = 30\n", - "wavedir = 0\n", - "\n", - "f1 = wavefreq\n", - "nfreq = 10\n", - "\n", - "waves = wot.waves.regular_wave(f1, nfreq, wavefreq, amplitude, phase, wavedir)" + "fb.show_matplotlib()\n", + "_ = wb.plot_cross_section(show=True) # specific to WaveBot" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### Frequency and mesh check\n", - "We already defined the fundamental frequency equal to the wave frequency and the number of frequencies to include all energetic harmonics. These frequencies will be used for the Fourier representation of both the wave and the desired PTO force in the pseudo-spectral problem. See the Theory section of the Documentation for more details on the pseudo-spectral problem formulation.\n", - "\n", - "The `fb.minimal_computable_wavelength` parameter checks the mesh to determine the minimum wavelength that can be reliably computed using Capytaine. This warning is ignored here because the BEM results have been validated, but can be used as a guide for mesh refinement to ensure accurate BEM results." + "#### Minimum wavelength check\n", + "With the frequency vector, wave environment, and geometry mesh all defined, we can now check to make sure they are all suitable to accurately simulate the WEC dynamics.\n", + "The `fb.minimal_computable_wavelength` method checks the mesh to determine the minimum wavelength that can be reliably computed using Capytaine.\n", + "We compare this value to the minimum wavelength our frequency vector will compute; we want this number to be larger than Capytaine's minimum wavelength.\n", + "A warning is printed if this is not the case.\n", + "This warning is ignored here because the BEM results have been validated, but can be used as a guide for mesh refinement to ensure accurate BEM results." ] }, { @@ -162,8 +187,6 @@ "metadata": {}, "outputs": [], "source": [ - "freq = wot.frequency(f1, nfreq, False) # False -> no zero frequency\n", - "\n", "min_computable_wavelength = fb.minimal_computable_wavelength\n", "g = 9.81\n", "min_period = 1/(f1*nfreq)\n", @@ -178,10 +201,33 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### BEM\n", - "With our Capytaine floating body created, we can now run the Boundary Element Method solver in Capytaine to get the hydrostatic and hydrodynamic coefficients of our WEC object. This is wrapped into the `wecopttool.run_bem` function.\n", + "### WEC object\n", + "The `WEC` object in WecOptTool contains all the information about the WEC and its properties and dynamics.\n", + "This constitutes the vast majority of the setup required to run a WecOptTool optimization.\n", + "The WEC object handles three categoreis of data that are passed on to the optimizer:\n", + "\n", + "1. The intrinsic impedance of the WEC\n", + "2. The WEC and PTO kinematic\n", + "3. The PTO dynamics\n", "\n", - "If you would like to save our BEM data to a NetCDF file for future use, see the `wecopttool.write_netcdf` function." + "In order for the `WEC` object to be able to compute these data, we must provide information when we declare the object in the code.\n", + "The required information includes:\n", + "* [Degrees of freedom to consider](#degrees-of-freedom)\n", + "* [Linear hydrodynamic coefficients](#bem-solution)\n", + "* Any additional loads (e.g. PTO force, mooring, non-linear hydrodynamics)\n", + "* Device constraints\n", + "\n", + "Again, we will keep things simple to start.\n", + "We will only consider heave motion and assume a lossless PTO, and the WaveBot has trivial WEC-PTO kinematics (unity).\n", + "We will apply one additional force (the PTO force on the WEC) and one constraint (the maximum PTO force), which [we define below using the `PTO` class](#pto)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Degrees of freedom\n", + "The degrees of freedom can be added directly to the `FloatingBody` using the `add_translation_dof` and `add_rotation_dof` methods. The axis of rotation is automatically defined if the method is supplied a name of `\"Surge\"`, `\"Sway\"`, `\"Heave\"`, `\"Roll\"`, `\"Pitch\"`, or `\"Yaw\"`. We will only model the heave degree of freedom in this case." ] }, { @@ -190,7 +236,35 @@ "metadata": {}, "outputs": [], "source": [ - "bem_data = wot.run_bem(fb, freq)" + "fb.add_translation_dof(name=\"Heave\")\n", + "ndof = fb.nb_dofs" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### BEM solution" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can use the `FloatingBody` and frequency vector created earlier to run the Boundary Element Method solver in Capytaine to get the hydrostatic and hydrodynamic coefficients of our WEC object.\n", + "This is wrapped into the `wecopttool.run_bem` function.\n", + "\n", + "If you would like to save the BEM data to a NetCDF file for future use, uncomment the second line of the cell below to use the `wot.write_netcdf` function." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "bem_data = wot.run_bem(fb, freq)\n", + "# wot.write_netcdf('bem_data.nc', bem_data) # saves BEM data to file" ] }, { @@ -198,14 +272,20 @@ "metadata": {}, "source": [ "#### PTO\n", - "WecOptTool includes the `PTO` class to encompass all properties of the power take-off system of the WEC. Data wrapped into our `PTO` class will be used to help define our `WEC` object and optimization problem later.\n", + "WecOptTool includes the `PTO` class to encompass all properties of the power take-off system of the WEC.\n", + "Data wrapped into our `PTO` class will be used to provide the additional force and constraint for our `WEC` object definition, as well as our optimization problem later.\n", "\n", "To create an instance of the `PTO` class, we need:\n", - "- The kinematics matrix, which converts from the WEC degrees of freedom to the PTO degrees of freedom. The PTO extracts power directly from the WEC's heave in this case, so the kinematics matrix is simply the $1 \\times 1$ identity matrix.\n", - "- The definition of the PTO controller. The `wecopttool.pto` submodule includes P, PI, and PID controller functions that can be provided to the `PTO` class and return the PTO force. However, we will be using an unstructured controller in this case, so we will set `None` for the controller.\n", - "- Any PTO impedance. We're only interested in mechanical power for this first problem, so we will leave this empty for now\n", - "- The non-linear power conversion loss (assumed 0% if `None`)\n", - "- The PTO system name, if desired" + "\n", + "* The kinematics matrix, which converts from the WEC degrees of freedom to the PTO degrees of freedom.\n", + "In this case, the PTO extracts power directly from the heaving motion of the WEC, so the kinematics matrix is simply a $1 \\times 1$ identity matrix.\n", + "* The definition of the PTO controller.\n", + "The `wecopttool.pto` submodule includes P, PI, and PID controller functions that can be provided to the `PTO` class and return the PTO force.\n", + "However, we will be using an unstructured controller in this case, which is the default when `controller=None`.\n", + "* Any PTO impedance.\n", + "We are only interested in mechanical power for this first problem, so we will leave this empty for now.\n", + "* The non-linear power conversion loss (assumed 0% if `None`)\n", + "* The PTO system name, if desired" ] }, { @@ -226,7 +306,14 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Now let's define the PTO forcing on the WEC and the PTO constraints. For our optimization problem, the constraints must be in the correct format for `scipy.optimize.minimize()`. We will enforce the constraint at 4 times more points than the dynamics (see Theory for why this is helpful for the pseudo-spectral problem)." + "Now we define the PTO forcing on the WEC and the PTO constraints.\n", + "We set the maximum PTO force as 750 Newtons.\n", + "This value is chosen somewhat arbitrary to highlight different effects throughout this tutorial.\n", + "In practice, the user would need to identify their limiting component in the PTO and then compute a suitable value.\n", + "For example, if the generator drive has a maximal current $I_{max}$ of 10 A, with a generator torque constant $K_t$ of 8 Nm/A and a gear ratio $N$ of 9 rad/m, this results in a max PTO linear force of $F = N K_{t} I_{max} = 9$ rad/m $\\times 8$ Nm $\\times 10$ A $= 720$ N.\n", + "\n", + "We will enforce the constraint at 4 times more points than the dynamics; see [Theory]((https://sandialabs.github.io/WecOptTool/theory.html)) for why this is helpful for the pseudo-spectral problem.\n", + "The constraints must be in the correct format for the solver we are using ([`scipy.optimize.minimize`](https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.minimize.html)); note the syntax of `ineq_cons` below." ] }, { @@ -239,7 +326,7 @@ "f_add = {'PTO': pto.force_on_wec}\n", "\n", "# Constraint\n", - "f_max = 2000.0\n", + "f_max = 750.0\n", "nsubsteps = 4\n", "\n", "def const_f_pto(wec, x_wec, x_opt, waves): # Format for scipy.optimize.minimize\n", @@ -257,7 +344,9 @@ "metadata": {}, "source": [ "#### `WEC` creation\n", - "We are now ready to create the `WEC` object itself! Since we ran our BEM already, we can define the object using the `wecopttool.WEC.from_bem` function. If we saved our BEM data to a NetCDF file, we can also provide the path to that file instead of specifying the BEM `Dataset` directly." + "We are now ready to create the `WEC` object itself!\n", + "Since we ran the BEM already, we can define the object using the `wecopttool.WEC.from_bem` function.\n", + "If we saved BEM data to a NetCDF file, we can also provide the path to that file instead of specifying the BEM `Dataset` directly." ] }, { @@ -278,7 +367,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Note: We might receive a warning regarding negative linear damping values. Per default, WecOptTool ensures that the BEM data does not contain non-negative damping values. If you would like to correct the BEM solution manually to a minimum damping value you can specify `min_damping`. " + "_Note: You may receive a warning regarding negative linear damping values._\n", + "_By default, WecOptTool ensures that the BEM data does not contain non-negative damping values._\n", + "_If you would like to correct the BEM solution to a different minimum damping value besides zero, you can specify_ `min_damping`." ] }, { @@ -286,9 +377,27 @@ "metadata": {}, "source": [ "### Objective function\n", - "The objective function is the quantity (scalar) we want to optimize—in this case, the average mechanical power. The objective function is itself a function of the optimization state, the size of which we need to properly define our call to `scipy.optimize.minimize()`. The average mechanical power can be taken directly from the `PTO` object we created.\n", - "\n", - "One technical quirk here: `nstate_opt` is one smaller than would be expected for a state space representing the mean (DC) component and the real and imaginary Fourier coefficients. This is because WecOptTool excludes the imaginary Fourier component of the highest frequency (the 2-point wave). Since the 2-point wave is sampled at multiples of $\\pi$, the imaginary component is evaluated as $sin(n\\pi); n = 0, 1, 2, ..., n_{freq}$, which is always zero. Excluding this component speeds up the optimization as the state space is reduced by one." + "The objective function is the quantity we want to optimize—in this case, the average mechanical power.\n", + "The function to compute this can be taken directly from the `PTO` object we created:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "obj_fun = pto.mechanical_average_power" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The objective function is itself a function of the optimization state `x_opt`.\n", + "The length of `x_opt`, `nstate_opt`, needs to be properly defined to successfully call `scipy.optimize.minimize`.\n", + "In other words, it should match the quantities we are interested in optimizing.\n", + "In this case, we are optimizing for the control trajectories of an unstructured PTO, which can be represented in the Fourier domain by the DC (zero frequency) component, then the real and imaginary components for each frequency." ] }, { @@ -297,23 +406,43 @@ "metadata": {}, "outputs": [], "source": [ - "obj_fun = pto.mechanical_average_power\n", "nstate_opt = 2*nfreq" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "One technical quirk here: `nstate_opt` is one smaller than would be expected for a state space representing the mean (DC) component and the real and imaginary Fourier coefficients.\n", + "This is because WecOptTool excludes the imaginary Fourier component of the highest frequency (the 2-point wave).\n", + "Since the 2-point wave is sampled at multiples of $\\pi$, the imaginary component is evaluated as $sin(n\\pi); n = 0, 1, 2, ..., n_{freq}$, which is always zero." + ] + }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Solve\n", - "We are now ready to solve the problem. WecOptTool uses `scipy.optimize.minimize` as its optimization driver, which is wrapped into `wecopttool.WEC.solve` for ease of use.\n", + "We are now ready to solve the problem.\n", + "WecOptTool uses `scipy.optimize.minimize` as its optimization driver, which is wrapped into `wecopttool.WEC.solve` for ease of use.\n", "\n", - "Note that the only required inputs for defining and solving the problem are: (1) the waves, (2) the objective function, and (3) the size of the optimization state. Optional inputs can be provided to control the optimization execution if desired, which we do here to change the default iteration maximum and tolerance. See `scipy.optimize.minimize` docs for more details.\n", + "The only required inputs for defining and solving the problem are:\n", "\n", - "To help the optimization we will scale the problem before solving it (see Documentation). WecOptTool allows you to scale the WEC dynamics state, your optimization state (in this case the Fourier coefficients for the PTO force), and the objective function separately. See the `wecopttool.WEC.solve()` function for more information.\n", + "1. The wave environment\n", + "2. The objective function\n", + "3. The size of the optimization state (`nstate_opt`)\n", "\n", + "Optional inputs can be provided to control the optimization execution if desired, which we do here to change the default iteration maximum and tolerance.\n", + "See the [`scipy.optimize.minimize`](https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.minimize.html) documentation for more details.\n", "\n", - "Pay attention to the `Exit mode`: an exit mode of $0$ indicates a successful solution. For an easy problem (linear, single Dof, unconstrained, etc.) your iterations shouldn't need to exceed 100. If they do, try adjusting the scales by orders of magnitude, one at a time." + "To help the problem converge faster, we will scale the problem before solving it (see the [Scaling](https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.minimize.html) section of the Theory documentation).\n", + "WecOptTool allows you to scale the WEC dynamics state, the optimization state, and the objective function separately.\n", + "See the [`wecopttool.WEC.solve`](https://sandialabs.github.io/WecOptTool/api_docs/wecopttool.WEC.solve.html#wecopttool-wec-solve) documentation for more information.\n", + "\n", + "\n", + "Pay attention to the `Exit mode`: an exit mode of `0` indicates a successful solution.\n", + "A simple problem (linear, single degree of freedom, unconstrained, etc.) should converge in well under 100 iterations.\n", + "If you exceed this, try adjusting the scales by orders of magnitude, one at a time." ] }, { @@ -346,7 +475,9 @@ "metadata": {}, "source": [ "### Analyzing results\n", - "We will use two post-processing functions to obtain frequency- and time-domain results for the WEC and PTO responses. The pseudospectral method gives continuous in time results. To get smoother looking plots, we specify the number of subpoints betweeen co-location points. In this case we will use 5. " + "We will use two post-processing functions to obtain frequency and time domain results for the WEC and PTO responses.\n", + "The pseudo-spectral method gives continuous in time results.\n", + "To get smoother looking plots, we specify five subpoints betweeen co-location points." ] }, { @@ -364,7 +495,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The `pto.post_process` function returns `xarray.Dataset`s, which have built-in integration with PyPlot for smart plotting that automagically sets titles and formatting. We will plot the mechanical power (`mech_power`), position (`pos`), and the PTO force (`force`)." + "The `pto.post_process` function returns `xarray.Dataset` objects, which have built-in integration with PyPlot for smart plotting with automatic titles and formatting.\n", + "We will plot the mechanical power (`mech_power`), position (`pos`), and the PTO force (`force`)." ] }, { @@ -373,15 +505,15 @@ "metadata": {}, "outputs": [], "source": [ - "plt.figure()\n", - "pto_tdom['power'].loc['mech',:,:].plot()" + "pto_tdom['power'].sel(type='mech').plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We could similarly plot any time- or frequency-domain repsonse of the WEC or PTO. For instance, here is the PTO heave motion." + "We could similarly plot any time or frequency domain response of the WEC or PTO by calling the specific type of response (position, velocity, force, etc.).\n", + "For example, to plot the WEC heave position and PTO force:" ] }, { @@ -391,15 +523,8 @@ "outputs": [], "source": [ "plt.figure()\n", - "wec_tdom['pos'].plot()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ + "wec_tdom['pos'].plot()\n", + "\n", "plt.figure()\n", "pto_tdom['force'].plot()" ] @@ -408,7 +533,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Note that there are other dynamic responses available in the post-processed WEC and PTO variables (`wec_tdom`, `pto_tdom`, `wec_fdom`, `pto_fdom`). For example, the time domain PTO variable contains the following response:" + "Note that there are other dynamic responses available in the post-processed WEC and PTO variables (`wec_tdom`, `pto_tdom`, `wec_fdom`, `pto_fdom`).\n", + "For example, the time domain PTO variable contains the following response:" ] }, { @@ -426,19 +552,21 @@ "source": [ "## 2. Optimal control for maximum electrical power\n", "\n", - "The rest of this tutorial will focus on optimizing for electrical power (new objective function) rather than mechanical, as this is a form of power that is usable and transportable.\n", + "The rest of this tutorial will focus on a different objective function: we will now optimize for electrical power rather than mechanical, as this is a form of power that is usable and transportable.\n", "\n", - "Since we're still dealing with the same WaveBot as in part 1, we can reuse the BEM and wave data from before. Look back at part 1 if you need a refresher on how to create these data.\n", + "Since we are still dealing with the same WaveBot as in Part 1, we can reuse the BEM, WEC-PTO kinematics, and wave data from before.\n", "\n", "
\n", "\n", "
\n", - "The WEC-PTO kinematics remain the same as well (unity). The major difference now is that we consider the dynamics of PTO, since they impact the electrical power and we shall not assume a lossless PTO.\n", "\n", - "We will express the PTO's dynamics in form of a 2-port impedance model, to incoporate the dynamics of the drive-train and the dynamics of the generator.\n", - "The additional mechanical energy storage through the drive-train is modelled using Newton's second law and we assume a linear generator using a power-invariant park transform.\n", + "The biggest difference when considering electrical power is the addition of the PTO dynamics.\n", + "In other words, we no longer assume a lossless PTO.\n", + "We will express the PTO dynamics in the form of a [2-port impedance model](https://en.wikipedia.org/wiki/Impedance_parameters) to incorporate the dynamics of the drivetrain and generator.\n", + "The additional mechanical energy storage through the drivetrain is modeled using Newton's second law, and we assume a linear generator using a power-invariant park transform.\n", "\n", - "The PTO impedance matrix components are then obtained under open-circuit conditions, i.e. no load current or no WEC velocity, respectively." + "The PTO impedance matrix components are then obtained under open-circuit conditions: no load current ($i_{pto}$ in figure above) or no WEC velocity ($vel_{pto}$ above), respectively.\n", + "See Section II of Michelén et al. [here](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10114969) for more details about how the code below is derived." ] }, { @@ -477,7 +605,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Next, we will create a new `PTO` object with this impedance matrix. We will also update the definitions of our PTO constraint and additional dynamic forcing function to use the new object. We will set our PTO constraint to $600 N$ for this example, since the dynamics for optimal electrical power will be different." + "Next, we will create a new `PTO` object with this impedance matrix.\n", + "We will also update the definitions of our PTO constraint and additional dynamic forcing function to use the new object.\n", + "We will again set our maximum PTO force to 750 Newtons in this example, so we do not need to redefine `f_max`." ] }, { @@ -491,10 +621,9 @@ "pto_2 = wot.pto.PTO(ndof, kinematics, controller, pto_impedance_2, loss, name_2)\n", "\n", "## Update PTO constraints and forcing\n", - "f_max_2 = 600.0\n", "def const_f_pto_2(wec, x_wec, x_opt, waves):\n", " f = pto_2.force_on_wec(wec, x_wec, x_opt, waves, nsubsteps)\n", - " return f_max_2 - np.abs(f.flatten())\n", + " return f_max - np.abs(f.flatten())\n", "ineq_cons_2 = {'type': 'ineq', 'fun': const_f_pto_2}\n", "constraints_2 = [ineq_cons_2]\n", "f_add_2 = {'PTO': pto_2.force_on_wec}" @@ -504,7 +633,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Finally, let's update our `WEC` object with the new PTO constraint, then run our optimization problem. Note we're now using `average_power` instead of `mechanical_average_power` as our objective function." + "Finally, we will update our `WEC` object with the new PTO and objective function, then run our optimization problem.\n", + "Note we are now using `average_power` instead of `mechanical_average_power` as our objective function." ] }, { @@ -514,7 +644,6 @@ "outputs": [], "source": [ "# Update WEC\n", - "\n", "wec_2 = wot.WEC.from_bem(bem_data,\n", " constraints=constraints_2,\n", " friction=None,\n", @@ -549,7 +678,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We will compare our optimal results to the unconstrained case to gain some insight into the effect of the constraint on the optimal PTO force. Let's do the same process as before, but unset the `constraints` parameter in a new `WEC` object." + "We will compare our optimal results to the unconstrained case to gain some insight into the effect of the constraint on the optimal PTO force.\n", + "Let's do the same process as before, but unset the `constraints` parameter in a new `WEC` object." ] }, { @@ -585,7 +715,7 @@ "metadata": {}, "source": [ "Note that the optimal constrained PTO force follows the optimal unconstrained solution (sinusoidal) whenever the unconstrained solution is within the constraint. \n", - "When the constraint is active the optimal PTO force is the maximum PTO force of $600 N$." + "When the constraint is active the optimal PTO force is the maximum PTO force of 750 Newtons." ] }, { @@ -595,18 +725,21 @@ "outputs": [], "source": [ "plt.figure()\n", - "wec_tdom_2['pos'].plot(label='constrained')\n", - "wec_tdom_2_nocon['pos'].plot(label='unconstrained')\n", + "wec_tdom['pos'].plot(label='optimal mechanical')\n", + "wec_tdom_2['pos'].plot(label='optimal electrical, constrained')\n", + "wec_tdom_2_nocon['pos'].plot(label='optimal electrical, unconstrained')\n", "plt.legend(loc='lower right')\n", "\n", "plt.figure()\n", - "pto_tdom_2['force'].plot(label='constrained')\n", - "pto_tdom_2_nocon['force'].plot(label='unconstrained')\n", + "pto_tdom['force'].plot(label='optimal mechanical')\n", + "pto_tdom_2['force'].plot(label='optimal electrical, constrained')\n", + "pto_tdom_2_nocon['force'].plot(label='optimal electrical, unconstrained')\n", "plt.legend(loc='lower right')\n", "\n", "plt.figure()\n", - "pto_tdom_2['power'].loc['elec',:,:].plot(label='constrained')\n", - "pto_tdom_2_nocon['power'].loc['elec',:,:].plot(label='unconstrained')\n", + "pto_tdom['power'].sel(type='mech').plot(label='optimal mechanical')\n", + "pto_tdom_2['power'].sel(type='elec').plot(label='optimal electrical, constrained')\n", + "pto_tdom_2_nocon['power'].sel(type='elec').plot(label='optimal electrical, unconstrained')\n", "plt.legend(loc='lower right')\n" ] }, @@ -614,7 +747,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The attentive user might have noticed that the amplitude of the position, force and power signals is about half the magnitude of the signals we plotted in the first part of the tutorial. We can see that optimizing for electrical power requires optimal state trajectories with smaller amplitudes. For most WECs the electrical power is the usable form of power, thus the WEC should be designed for electrical power and we can avoid over-designing, which would results from expecting the forces associated with the optimal trajectories for mechanical power maximisation." + "The attentive user might have noticed that the amplitude of the mechanical power is less compared to Part 1 of the tutorial.\n", + "We can see that optimizing for electrical power requires optimal state trajectories with less reactive mechanical power (i.e. power that is put into the system).\n", + "\n", + "The PTO force trajectory for optimizing mechanical power is saturated at the maximum for longer compared to the electrical power.\n", + "This could inform the WEC designer optimizing for mechanical power to consider larger components that would not be utilized at their limit as frequently.\n", + "However, the electrical power (_not_ the mechanical power) is the usable form of power, thus designing the WEC for optimal electrical power does not indicate a need for larger components and prevents this over-design." ] }, { @@ -622,16 +760,18 @@ "metadata": {}, "source": [ "## 3. Control co-design of the WEC geometry for maximum electrical power\n", - "The first two examples only used the inner optimization loop in WecOptTool to optimize PTO power. Here in Part 3 we bring it all together and show how to use both the inner and outer optimization loops in WecOptTool to do control co-optimization of a hull design in conjunction with an optimal controller for electrical power.\n", + "The first two examples only used the inner optimization loop in WecOptTool to optimize PTO power.\n", + "In Part 3, we bring it all together and show how to use both the inner and outer optimization loops in WecOptTool to do control co-optimization of a hull design in conjunction with an optimal controller for electrical power.\n", + "\n", "Again, we use the WaveBot WEC in one degree of freedom in regular waves. \n", "The goal is to **find the optimal keel radius** (`r2`) that maximizes the average produced electrical power, while maintaining a constant hull volume. \n", - "A constant volume is achieved by setting the height of the conical section (`h2`) in conjunction with the keel radius (`r2`).\n", + "A constant volume is achieved by setting the height of the conical section (`h2`) in conjunction with the keel radius.\n", + "\n", + "This example demonstrates a complete case of the control co-optimization studies WecOptTool is meant for. \n", + "The inner optimization loop finds the control trajectory that produces the optimal PTO force for a given hull geometry, and the outer optimization loop finds the optimal hull geometry _amongst designs with optimal control trajectories_.\n", "\n", - "This example demonstrates a complete case of the types of optimization studies WecOptTool is meant for. \n", - "The main optimization (outer optimization loop) is to find the optimal geometry (radius `r2`), and for each geometry considered the optimal PTO force (inner optimization loop) will be found.\n", - "The inner loop was showcased in Example 2 and uses a gradient-based optimization method, with the gradients obtained with automatic differentiation. \n", - "The outer loop optimization is for the user to setup. \n", - "In this example, we will do a simple *brute force* optimization using `scipy.optimize.brute`. \n", + "The inner loop is consolidated into the `WEC.solve()` method, but the outer loop needs to be configured by the user for their particular design problem.\n", + "In this example, we will do a simple *brute force* optimization using [`scipy.optimize.brute`](https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.brute.html). \n", "\n", "![Device Diagram](https://live.staticflickr.com/65535/51751577441_515afec334_z.jpg) \n", "
\n", @@ -684,7 +824,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Next we will define an objective function for our design optimization problem. We use the same workflow illustrated in Part 2 to set up a WaveBot device and solve for the optimal solution, but wrap this in a function definition which can set `r2` and (indirectly) `h2`." + "Next we will define an objective function for our design optimization problem.\n", + "We use the same workflow used in Part 2 to set up a WaveBot device and solve for the optimal solution, but wrap this in a function definition which sets `r2` and (indirectly) `h2`." ] }, { @@ -747,7 +888,7 @@ "\n", " # Set PTO constraint and additional dynamic force\n", " nsubsteps = 4\n", - " f_max = 600.0\n", + " f_max = 750.0\n", "\n", " def const_f_pto(wec, x_wec, x_opt, waves):\n", " f = pto.force_on_wec(wec, x_wec, x_opt, waves, nsubsteps)\n", @@ -765,12 +906,6 @@ " f_add=f_add,\n", " )\n", "\n", - " # Waves\n", - " wfreq = 0.3\n", - " amplitude = 0.0625\n", - " phase = -40\n", - " waves_3 = wot.waves.regular_wave(f1, nfreq, wfreq, amplitude, phase)\n", - "\n", " # Objective function\n", " obj_fun = pto.average_power\n", " nstate_opt = 2*nfreq\n", @@ -795,12 +930,11 @@ "metadata": {}, "source": [ "### Solve\n", - "Finally, we may call this objective function with an optimization algorithm. \n", - "Here, a simple *brute force* optimization approach is used for illustrative purposes, but any variety of options could be applied. \n", + "Finally, we call our wrapped function using `scipy.optimize.brute`.\n", "The optimization algorithm will call our objective function, which in turn will create a new WaveBot hull, run the necessary BEM calculations for the hull, and find the PTO force that provides the most electric power for that hull. \n", "This process will be conducted for the range of `r2` values that we specify.\n", "\n", - "_(note: the cell below will likely take 5+ minutes to run on a standard personal computer)_" + "_(note: the cell below will take longer to run than the cells above, up to several minutes)_" ] }, { @@ -847,7 +981,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Note that in this case the magnitude of average power between the different keel radii is rather small, this is because the PTO force constraint is active most of the time, therefore all considered geometries perform similarily. If you remove the PTO constraint and re-run the co-optimization study you will see that the impact of radius on average electrical power is significantly higher." + "Note that in this case the difference in average power between the different keel radii is rather small.\n", + "This is because the PTO force constraint is active most of the time, therefore all considered geometries perform similarily.\n", + "If you remove the PTO constraint and re-run the co-optimization study, you will see that the impact of radius on average electrical power is significantly higher." ] } ], @@ -867,7 +1003,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.5" + "version": "3.11.6" }, "vscode": { "interpreter": { diff --git a/examples/tutorial_2_AquaHarmonics.ipynb b/examples/tutorial_2_AquaHarmonics.ipynb index b97221d4d..1eedc1f44 100644 --- a/examples/tutorial_2_AquaHarmonics.ipynb +++ b/examples/tutorial_2_AquaHarmonics.ipynb @@ -5,13 +5,13 @@ "metadata": {}, "source": [ "# Tutorial 2 - AquaHarmonics\n", - "The goal of this tutorial is to illustrate a more realistic model of a PTO, including non-linear power conversion chain. \n", + "The goal of this tutorial is to illustrate a more realistic model of a PTO, including nonlinear power conversion chain. \n", "It uses the [AquaHarmonics](https://aquaharmonics.com/wec_vis/) device in one degree of freedom in regular waves, models the PTO generator using a motor power loss map and adds realistic constraints, including generator maximum torque and min/max line tension.\n", "\n", "This tutorial is comprises two parts, where the second section builds upon the first.\n", "\n", "1. [Optimal control with a loss map](#1.-Optimal-control-with-a-loss-map)\n", - "2. [Control co-design of line pre-tension/ballast with non-linear power conversion](#2.-Control-co-design-of-line-pre-tension/ballast)\n", + "2. [Control co-design of line pretension/ballast with non-linear power conversion](#2.-Control-co-design-of-line-pretension/ballast)\n", "\n", "![AquaHarmonics device](https://aquaharmonics.com/wec_vis.png)" ] @@ -28,7 +28,11 @@ "from matplotlib import cm\n", "from scipy.optimize import brute\n", "\n", - "import wecopttool as wot" + "import wecopttool as wot\n", + "\n", + "## set colorblind-friendly colormap for plots\n", + "plt.style.use('tableau-colorblind10')\n", + "cc = plt.rcParams['axes.prop_cycle'].by_key()['color']" ] }, { @@ -38,12 +42,13 @@ "## 1. Optimal control with a loss map\n", "\n", "### WEC object\n", - "We will go through a number of steps to create a `WEC` object, with which we can solve for the optimal control trajectory.\n", - "To compose the `WEC` object, we will need to define the mesh, degrees of freedom, mass and hydrostatic properties, linear hydrodynamic coefficients (from a BEM solution), any additional dynamic forces (e.g. PTO force), and constraints (e.g. minimum line tension). \n", + "We will go through a number of steps to create a `WEC` object, with we can use to solve for the optimal control trajectory.\n", + "See Tutorial 1 for detailed instructions on what is needed to create the `WEC` object.\n", "\n", "#### Geometry\n", "First we create a surface mesh for the WEC hull, and quickly visualize the cross-sectional shape of the hull.\n", - "The AquaHarmonics hull mesh is already included with WecOptTool—take a look at the `geometry.py` module if you're interested in seeing how it was created.\n", + "The AquaHarmonics hull mesh is already included with WecOptTool, much like the WaveBot mesh in Tutorial 1.\n", + "Take a look at the [`geom.py`](https://sandialabs.github.io/WecOptTool/api_docs/wecopttool.geom.html) module if you are interested in seeing how it was created.\n", "Note that the lower cylindrical section of the hull is open to the sea." ] }, @@ -84,7 +89,8 @@ "source": [ "#### Hydrostatics and mass\n", "The AquaHarmonics device is positively buoyant (i.e., the buoyancy force is greater than the force due to gravity).\n", - "Therefore, we'll set the rigid-body mass manually, but allow the hydrostatic stiffness to be set automatically by run_bem() based on the mesh. We will also calculate the displaced volume and mass from the mesh (before manually defining the mass of the FloatingBody), which we will need later for defining forces and constraints." + "Therefore we will set the rigid-body mass manually (unlike Tutorial 1), but allow the hydrostatic stiffness to be set automatically by run_bem() based on the mesh.\n", + "We will also calculate the displaced volume and mass from the mesh (before manually defining the mass of the FloatingBody), which we will need later for defining forces and constraints." ] }, { @@ -97,10 +103,10 @@ "rho = 1025\n", "fb.center_of_mass = [0, 0, 0]\n", "fb.rotation_center = fb.center_of_mass\n", - "displaced_mass = fb.compute_rigid_body_inertia(rho=rho).values # [kg]\n", - "displacement = displaced_mass/rho # [m^3] \n", + "displaced_mass = fb.compute_rigid_body_inertia(rho=rho).values # kg\n", + "displacement = displaced_mass/rho # m^3\n", "\n", - "fb.mass = np.atleast_2d(5e3) # [kg]" + "fb.mass = np.atleast_2d(5e3) # kg" ] }, { @@ -109,8 +115,7 @@ "source": [ "### Waves\n", "A regular wave will allow us to get a good initial understanding of the optimal control trajectory.\n", - "Note that we need to choose an appropriate fundamental frequency, $f_1$, and number of frequencies, nfreq, to ensure that \n", - "the wave frequency and harmonic components are within the frequency array we use to calculate the hydrodynamic data." + "Note that we need to choose an appropriate fundamental frequency, $f_1$, and number of frequencies, nfreq, to ensure that the wave frequency and harmonic components are within the frequency array we use to calculate the hydrodynamic data." ] }, { @@ -124,7 +129,7 @@ "phase = 30\n", "wavedir = 0\n", "\n", - "f1 = wavefreq # [Hz]\n", + "f1 = wavefreq # Hz\n", "nfreq = 10\n", "\n", "waves = wot.waves.regular_wave(f1, nfreq, wavefreq, amplitude, phase, wavedir)" @@ -138,7 +143,7 @@ "\n", "Next we will run the boundary element model (BEM) [Capytaine](https://github.com/capytaine/capytaine) to obtain the hydrodynamic coefficients for the hull.\n", "Before running the BEM solver, we must create a set of frequencies at which to perform the calculations.\n", - "For `WecOptTool`, these must be a regularly spaced frequency array." + "For WecOptTool, these must be a regularly spaced frequency array." ] }, { @@ -255,7 +260,7 @@ "source": [ "##### Generator loss map\n", "The generator used by the AquaHarmonics devices is a motor from a Nissan Leaf.\n", - "`WecOptTool` currently uses loss maps, as efficiency maps are unable to account for losses that occur when the mechanical power is zero (e.g., when the torque is nonzero, but the shaft speed is zero).\n", + "WecOptTool currently uses loss maps, as efficiency maps are unable to account for losses that occur when the mechanical power is zero (e.g., when the torque is nonzero, but the shaft speed is zero).\n", "Thus, we use an [approximate model for the losses](https://en.wikipedia.org/wiki/Joule_heating) in this example." ] }, @@ -290,9 +295,9 @@ "metadata": {}, "outputs": [], "source": [ - "rot_max = 10000*2*np.pi/60 # [rad/s]\n", - "torque_max = 300 # [Nm]\n", - "power_max = 80e3 # [W]" + "rot_max = 10000*2*np.pi/60 # rad/s\n", + "torque_max = 300 # Nm\n", + "power_max = 80e3 # W" ] }, { @@ -300,7 +305,7 @@ "metadata": {}, "source": [ "Finally, we can plot the motor power loss surface to see how it looks.\n", - "Here, the independent variables are the motor speed in [rad/s] and the motor torque in [Nm].\n", + "Here, the independent variables are the motor speed (in rad/s) and the motor torque (in Nm).\n", "Note that we limit the plot by the power limit." ] }, @@ -320,13 +325,12 @@ "ax = [fig.add_subplot(1, 2, 1, projection=\"3d\"),\n", " fig.add_subplot(1, 2, 2)]\n", "\n", - "ax[0].plot_surface(X, Y, Z, cmap=cm.coolwarm, linewidth=0)\n", + "ax[0].plot_surface(X, Y, Z, cmap=cm.viridis, linewidth=0)\n", "ax[0].set_xlabel('Shaft speed [rad/s]')\n", "ax[0].set_ylabel('Torque [Nm]')\n", "ax[0].set_zlabel('Power loss [kW]')\n", - "# ax[0].set_zlim([0, 1.1])\n", "\n", - "contour = ax[1].contourf(X, Y, Z, cmap=cm.coolwarm)\n", + "contour = ax[1].contourf(X, Y, Z, cmap=cm.viridis)\n", "plt.colorbar(contour, label=\"Power loss [kW]\")\n", "ax[1].set_xlabel('Shaft speed [rad/s]')\n", "ax[1].set_ylabel('Torque [Nm]')\n", @@ -366,10 +370,10 @@ "metadata": {}, "source": [ "#### Additional Forces\n", - "In WecOptTool, hydrodynamic forces are considered automatically.\n", - "Thus to account for other phenomena we create ''**additional forces**'':\n", + "Beyond hydrodynamic loading, this model needs to account for these additional phenomena:\n", "\n", - "* **Buoyancy, gravity and pretension** - While the buoyancy and gravity phenomena are often lumped together, we will keep them separate here. This is useful because the AquaHarmonics devices has a pretension force, so the buoyancy and gravity forces are not balanced at the neutral position and there is a pretension force from the tether/air spring.\n", + "* **Buoyancy, gravity and pretension** - While buoyancy and gravity are often lumped together in similar models, we will keep them separate here.\n", + "This is useful because the AquaHarmonics devices has a pretension force, so the buoyancy and gravity forces are not balanced at the neutral position and there is a pretension force from the tether/air spring.\n", "* **Passive PTO forces** - Inertia forces due to finite rigid body inertia of gears and friction forces within the drive train are captured by this function.\n", "* **PTO line force** - The total force imposed on the WEC from its tether is the sum of the PTO force due to action by the generator and the pretension force from the air spring.\n", "The generator torque will be our control state for which we will derive the optimal trajectory." @@ -430,13 +434,16 @@ "Each of these will be implemented as inequality constraints that will be passed to the numerical optimization solver.\n", "\n", "Note that we are imposing the constraints at more points than the dynamics by setting `nsubsteps>1`.\n", - "This ensures that the constraint is properly maintained (see the Theory page in the WecOptTool documentation for more details).\n", + "This ensures that the constraint is properly maintained (see the [Theory](https://sandialabs.github.io/WecOptTool/theory.html) documentation for more details).\n", "\n", " * **Peak torque** - The absolute motor torque cannot exceed this value.\n", " * **Maximum rotational speed** - The absolute motor speed cannot exceed this value.\n", " * **Maximum power** - The maximum mechanical power (i.e., product of torque and velocity) cannot exceed this value.\n", - " * **Minumum line tension** - In addition to these limitations on the hardware, we will also constrain the solution to prevent the tether tension from going below a certain threshold. We absolutely cannot allow the line tension to be less than zero, or else it will go slack. In practice, it is prudent to set some nonzero limit for the tether tension.\n", - " * **Mean torque** - While solutions with an nonzero mean positions may indeed be valid, we want to rely on a single calculation of the linear hydrodynamics at a mean position of 0. To avoid violating this approach, we will constrain the mean WEC position to zero." + " * **Minimum line tension** - In addition to these limitations on the hardware, we will also constrain the solution to prevent the tether tension from going below a certain threshold.\n", + " We absolutely cannot allow the line tension to be less than zero, or else it will go slack.\n", + " In practice, it is prudent to set some nonzero limit for the tether tension.\n", + " * **Mean torque** - While solutions with an nonzero mean positions may indeed be valid, we want to rely on a single calculation of the linear hydrodynamics at a mean position of 0.\n", + " To avoid violating this approach, we will constrain the mean WEC position to zero." ] }, { @@ -446,9 +453,10 @@ "outputs": [], "source": [ "# Generator constraints\n", - "torque_peak_max = 280 #[Nm] \n", - "rot_speed_max = 10000*2*np.pi/60 #[rad/s]\n", - "# mooring/PTO line constraint\n", + "torque_peak_max = 280 # Nm\n", + "rot_speed_max = 10000*2*np.pi/60 # rad/s\n", + "\n", + "# Mooring/PTO line constraint\n", "min_line_tension = -1000\n", "\n", "nsubsteps = 2\n", @@ -489,9 +497,9 @@ "metadata": {}, "source": [ "#### WEC object\n", - "Finally, we can use all the different components we've developed thus far to construct a `WEC` object:\n", + "Finally, we can use all the different components developed thus far to construct the `WEC` object:\n", "\n", - " * **BEM data** - defines the hydrodynamics of the hull and includes hydrostatics\n", + " * **BEM data** - defines the hydrostatics and hydrodynamics of the hull\n", " * **Constraints** - limitations on the hardware (max power, max torque, etc.) and the constraint to prevent the tether from going slack\n", " * **Additional forces** - this captures all of the forces on the WEC that are not due to the interaction between the hull and water (PTO, etc.)" ] @@ -573,8 +581,7 @@ "metadata": {}, "source": [ "### Post-process and plotting\n", - "Next, we post-process the results to allow us to more easily visualize them in a series of plots.\n", - "Note that because the `WEC` and `PTO` objects are distinct (the WEC object really only knows what the force from the PTO is, not how that force is obtained), we create two separate results objects (in each case, we get results in the frequency domain and time domain)." + "Next, we post-process the results to allow us to more easily visualize them in a series of plots." ] }, { @@ -591,7 +598,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We can inspect each of these [Xarray Datasets](https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html) for more details.\n", + "We can inspect each of these `xarray Dataset` objects for more details.\n", "As an example the post-processed WEC time-domain results include the following:" ] }, @@ -683,12 +690,9 @@ "ax[2].legend(loc='upper right',)\n", "\n", "# Power\n", - "(pto_tdom['power'].loc['mech',:,:]/1e3).plot(ax=ax[3], label='Mech. power')\n", - "(pto_tdom['power'].loc['elec',:,:]/1e3).plot(ax=ax[3], linestyle='dashed', \n", + "(pto_tdom['power'].sel(type='mech')/1e3).plot(ax=ax[3], label='Mech. power')\n", + "(pto_tdom['power'].sel(type='elec')/1e3).plot(ax=ax[3], linestyle='dashed', \n", " label=\"Elec. power\")\n", - "# ax[3].axhline(-1*power_max/1e3, linestyle='dotted', color='black', \n", - " # label=f'Max mech. power ($\\pm${power_max/1e3:.0f}kW)')\n", - "# ax[3].axhline(1*power_max/1e3, linestyle='dotted', color='black')\n", "ax[3].grid(color='0.75', linestyle='-', linewidth=0.5, axis='x')\n", "ax[3].legend(loc='upper right')\n", "ax[3].set_title('')\n", @@ -698,7 +702,7 @@ " axi.set_title('')\n", " axi.grid()\n", " axi.label_outer()\n", - " axi.autoscale(axis='x', tight=True)\n" + " axi.autoscale(axis='x', tight=True)" ] }, { @@ -717,35 +721,37 @@ "outputs": [], "source": [ "fig, ax = plt.subplots(1, 1, figsize=(8,6))\n", - "ax.plot(pto_tdom.vel, pto_tdom.force, color='k')\n", - "contour = ax.contourf(X, Y, Z, levels=20, cmap=cm.coolwarm)\n", + "ax.plot(pto_tdom.vel, pto_tdom.force, color=cc[1], label='Optimal control trajectory')\n", + "contour = ax.contourf(X, Y, Z, levels=20, cmap=cm.viridis)\n", "plt.colorbar(contour, label=\"Power loss [kW]\")\n", "ax.grid(which='major', linestyle='--')\n", "ax.axvline(0, color='k', lw=1)\n", "ax.axhline(0, color='k', lw=1)\n", "ax.set_ylim([-torque_max, torque_max])\n", "ax.set_ylabel('Torque [Nm]')\n", - "ax.set_xlabel('Shaft speed [rad/s]')" + "ax.set_xlabel('Shaft speed [rad/s]')\n", + "fig.legend(loc='lower right')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## 2. Control co-design of line pre-tension/ballast\n", + "## 2. Control co-design of line pretension/ballast\n", "[Part 1](#1.-Optimal-control-with-a-loss-map) of this tutorial set up the model and solved for the optimal control trajectory of a single fixed device design.\n", "We now will do control co-design to answer a real, practical question the designers have about the AquaHarmonics design:\n", - "**How big of an effect does the mass vs. line pre-tension have on the output power?** \n", + "**How big of an effect does the mass vs. line pretension have on the output power?** \n", "\n", - "To do this study we will define the maximum mass as the mass that results in the pre-tension being equal to the minimum pretension, and define that as a mass ratio of `1`.\n", + "To do this study we will define the maximum mass as the mass that results in the pretension being equal to the minimum pretension, and define that as a mass ratio of 1.\n", "Note that this maximum mass is slightly smaller than the displaced mass, in order to maintain some positive net buoyancy and thus achieve the minimum line tension.\n", "We will then consider different designs consisting of different mass ratios and see how the output power varies. \n", - "For each design the optimal controller for that design will be found (as in [Part 1](#1.-Optimal-control-with-a-loss-map))\n", + "For each design the optimal controller for that design will be found, as in Part 1.\n", "\n", "### Problem setup\n", - "The first step is to create a function that encapsulates solving for the optimal control trajectory to maximize power (i.e., [Part 1](#1.-Optimal-control-with-a-loss-map) of this tutorial) as an inner loop nested within an outer loop that varies the mass ratio.\n", + "The first step is to create a function that encapsulates solving for the optimal control trajectory to maximize power (i.e., Part 1 of this tutorial) to nest within an outer optimization loop.\n", + "This is similar to part 3 of Tutorial 1, except we now vary the mass ratio instead of the WEC hull radius.\n", "To accomplish this, we will create a function which takes the mass fraction as an input and returns the average electrical power as an output.\n", - "We consider the same regular wave operational condition as in [Part 1](#1.-Optimal-control-with-a-loss-map). " + "We consider the same regular wave operational condition used in Part 1." ] }, { @@ -841,9 +847,9 @@ "In this wave, the most power is generated when the mass fraction is 0.7.\n", "This is a scenario when the ballast is such that the total rigid body mass is 70% of the maximum, which allows for a pretension that is approximately 21 times the minimum pretension.\n", "\n", - "As the mass fraction is increased, pre-tension approaches the minimum line tension.\n", + "As the mass fraction is increased, pretension approaches the minimum line tension.\n", "At the limit (mass fraction of unity), the WEC can produce no power, as any action by the motor would slack the mooring line (recall that we forced the solution be symmetric).\n", - "Recall from the results in [Part 1](#1.-Optimal-control-with-a-loss-map) that we observed the motor torque saturating to avoid violating the minimum line tension constraint.\n", + "Recall from [the results in Part 1](#time-histories) that we observed the motor torque saturating to avoid violating the minimum line tension constraint.\n", "The red curve corresponding to the y-axis on the right-hand side of the plot shows the minimum absolute line tension.\n", "We can see that for mass fractions equal to and greater than 0.7 the line tension reaches the minimum value, thus bringing that constraint into effect and limiting the generated power.\n", "\n", @@ -863,11 +869,13 @@ "metadata": {}, "outputs": [], "source": [ + "cc = plt.rcParams['axes.prop_cycle'].by_key()['color']\n", + "\n", "fig, ax = plt.subplots(figsize=(8,6))\n", - "ax.plot(res[2], res[3]/1e3, 'bo-')\n", + "ax.plot(res[2], res[3]/1e3, 'o-', color=cc[0])\n", "ax.set_xlabel(\"Mass ratio, $m/m_{max}$\")\n", - "ax.set_ylabel(\"Average electric power, $\\overline{P}_e$ [kW]\", color=\"b\")\n", - "ax.tick_params(axis='y', labelcolor=\"b\")\n", + "ax.set_ylabel(\"Average electric power, $\\overline{P}_e$ [kW]\", color=cc[0])\n", + "ax.tick_params(axis='y', labelcolor=cc[0])\n", "\n", "# second tick\n", "new_tick_locations = [0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]\n", @@ -879,24 +887,17 @@ "ax2.set_xlim(ax.get_xlim())\n", "ax2.set_xticks(new_tick_locations)\n", "ax2.set_xticklabels(tick_function(new_tick_locations))\n", - "ax2.set_xlabel(\"Pre-tension ratio, $t/t_{min}$\")\n", + "ax2.set_xlabel(\"Pretension ratio, $t/t_{min}$\")\n", "\n", "ax3 = ax.twinx()\n", "ax3.axhline(-1*min_line_tension/1e3, linestyle='dotted', color='black',\n", " label='Min. line tension')\n", - "ax3.plot(res[2], np.abs(max_torque)/1e3, 'ro-')\n", - "ax3.set_ylabel(\"Min. line tension [kN]\", color=\"r\")\n", - "ax3.tick_params(axis='y', labelcolor=\"r\")\n", + "ax3.plot(res[2], np.abs(max_torque)/1e3, 'o-', color=cc[1])\n", + "ax3.set_ylabel(\"Min. line tension [kN]\", color=cc[1])\n", + "ax3.tick_params(axis='y', labelcolor=cc[1])\n", "ax3.set_yticks([1, 5, 10, 15, 20, 25])\n", "ax3.legend(loc=9)" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { @@ -915,7 +916,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.5" + "version": "3.11.6" }, "vscode": { "interpreter": { diff --git a/examples/tutorial_3_LUPA.ipynb b/examples/tutorial_3_LUPA.ipynb index 7bae07c5f..1fc6c3cf0 100644 --- a/examples/tutorial_3_LUPA.ipynb +++ b/examples/tutorial_3_LUPA.ipynb @@ -6,16 +6,20 @@ "source": [ "# Tutorial 3 - LUPA\n", "\n", - "The main goal of this tutorial is to demonstrate how to set up a WEC design problem with a more complex and realistic setup. We use the [Lab Upgrade Point Absorber (LUPA)](https://pmec-osu.github.io/LUPA/) device, an open source two-body heaving point absorber under development by Oregon State University. A deep dive video demonstration of the LUPA device and its features can be viewed [here](https://www.youtube.com/watch?v=gCcAu7H9lQI). We will numerically replicate LUPA testing in the Large Wave Flume at the [O.H. Hinsdale Wave Research Laboratory](https://engineering.oregonstate.edu/wave-lab) in order to provide further design optimization for the WEC device concept. This tutorial builds on the previous ones and introduces:\n", + "The main goal of this tutorial is to demonstrate how to set up a WEC design problem with a more complex and realistic setup.\n", + "We use the [Lab Upgrade Point Absorber (LUPA)](https://pmec-osu.github.io/LUPA/) device, an open source two-body heaving point absorber under development by Oregon State University.\n", + "A deep dive video demonstration of the LUPA device and its features can be viewed [here](https://www.youtube.com/watch?v=gCcAu7H9lQI).\n", + "We will numerically replicate LUPA testing in the Large Wave Flume at the [O.H. Hinsdale Wave Research Laboratory](https://engineering.oregonstate.edu/wave-lab) in order to provide further design optimization for the WEC device concept.\n", + "This tutorial builds on the previous ones by introducing:\n", " \n", - "- a WEC comprised of multiple bodies\n", - "- setting up a WEC with multiple degrees of freedom (DOF) using generalized modes\n", - "- more complex PTO kinematics that depend on more than one WEC DOF \n", - "- realistic constraints including generator maximum and continuous torque, and maximum rotational speed\n", - "- irregular waves\n", - "- mooring system dynamics\n", + "* a WEC comprised of multiple bodies\n", + "* setting up a WEC with multiple degrees of freedom (DOF) using generalized modes\n", + "* more complex PTO kinematics that depend on more than one WEC DOF \n", + "* realistic constraints including generator maximum and continuous torque, and maximum rotational speed\n", + "* irregular waves\n", + "* mooring system dynamics\n", "\n", - "A secondary goal is for this notebook to serve as a tool for those who are planning to run experiments with the LUPA device, to inform their experiment design. \n", + "A secondary goal for this tutorial is to serve as a tool for those who are planning to run experiments with the LUPA device, to inform their experiment design. \n", "\n", "As with previous tutorials, this tutorial consists of two parts, with the second section building upon the first.\n", "\n", @@ -32,6 +36,7 @@ "outputs": [], "source": [ "import os\n", + "\n", "import gmsh, pygmsh\n", "import capytaine as cpy\n", "import autograd.numpy as np\n", @@ -52,9 +57,18 @@ "## 1. Optimal control of a two-body WEC\n", "\n", "### WEC geometry\n", - "The creation of the `WEC` object is fundamentally identical to previous tutorials, where we use meshes of the WEC to create Capytaine `FloatingBody` objects, run BEM using Capytaine, and use the `WEC.from_bem()` method to create the `WEC` object. The key here is that the LUPA is a two-body device (consisting of a float and a spar), which move independently in heave but in unison for all other degrees of freedom. To model this in WecOptTool, we can create a `FloatingBody` object for each body separately with a heave DOF, combine them into a single object afterwards, and be sure the combined mass and inertia properties are properly set.\n", + "The creation of the `WEC` object is fundamentally identical to previous tutorials, where we use meshes of the WEC to create Capytaine `FloatingBody` objects, run BEM using Capytaine, and use the `WEC.from_bem()` method to create the `WEC` object.\n", + "The key here is that the LUPA is a two-body device (consisting of a float and a spar), which move independently in heave but in unison for all other degrees of freedom.\n", + "To model this in WecOptTool, we can create a `FloatingBody` object for each body separately with a heave DOF, combine them into a single object afterwards, and be sure the combined mass and inertia properties are properly set.\n", + "\n", + "We will analyze the device in its four planar degrees of freedom:\n", + "\n", + "* Heave of the buoy\n", + "* Heave of the spar\n", + "* Combined device surge\n", + "* Combined device pitch\n", "\n", - "We will analyze the device in its four planar degrees of freedom: the heave of the buoy, heave of the spar, combined device surge, and combined device pitch, for a total of 4 degrees of freedom. Here we are using the generalized modes approach. Alternatively we could include all 3 planar DOF for each body separately and add two constraints for the pitch and surge to be equal for both bodies. \n", + "Here we are using the generalized modes approach; an alternative solution would be to include all 3 planar DOF for each body separately and add two constraints for the pitch and surge to be equal for both bodies.\n", "\n", "#### LUPA properties\n", "The mass properties of the LUPA have been provided from measurements of the physical device by Oregon State University, as follows:" @@ -86,7 +100,12 @@ "source": [ "#### Mesh creation of the float\n", "\n", - "Here we create the mesh based on the dimensions provided by Oregon State University using *pygmsh* as in the other tutorials. The float has a hole where the spar passes through it; OSU has found that this hole creates a large spike in the BEM results at about 4.5 rad/s. This is not much energy in the waves at this frequency in the wave spectrum we will be using, so this spike should not significantly affect our results. If you would like to remove this spike and create smoother BEM results, set `hole = False` in the cell below." + "Here we create the mesh based on the dimensions provided by Oregon State University using [`pygmsh`](https://pypi.org/project/pygmsh/).\n", + "This is the same package used by [`geom.py`](https://sandialabs.github.io/WecOptTool/api_docs/wecopttool.geom.html) containing the predefined WaveBot and AquaHarmonics meshes used in the previous tutorials.\n", + "\n", + "The float has a hole where the spar passes through it, though OSU has found that this hole creates a large spike in the BEM results at about 4.5 rad/s.\n", + "There is not much energy in the waves at this frequency in the wave spectrum we will be using, so this spike should not significantly affect our results.\n", + "If you would like to remove this spike and create smoother BEM results, set `hole = False` in the cell below." ] }, { @@ -102,7 +121,7 @@ "h1 = 0.5 \n", "h2 = 0.21\n", "freeboard = 0.3\n", - "r3 = 0.10/2 + 0.05 # hole radius # TODO\n", + "r3 = 0.10/2 + 0.05 # hole radius\n", "hole = True # set to False to remove spike in BEM results\n", "with pygmsh.occ.Geometry() as geom:\n", " gmsh.option.setNumber('Mesh.MeshSizeFactor', mesh_size_factor)\n", @@ -123,7 +142,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Again, we will only add the heave DOF for now. The surge and pitch will be added after we combine the two `FloatingBody` objects." + "Again, we will only add the heave DOF for now.\n", + "The surge and pitch will be added after we combine the two `FloatingBody` objects." ] }, { @@ -141,7 +161,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We can now visualize the mesh. " + "We can now visualize the mesh:" ] }, { @@ -232,7 +252,11 @@ "source": [ "#### Combined `FloatingBody`\n", "\n", - "With both WEC bodies defined separately, we should first define the respective centers of mass and rotation centers for the `FloatingBody`s. Then, we can create a union of the bodies and define the properties for the overall LUPA device. At the equilibrium position the float is neutrally buoyant while the spar is positively buoyant and requires mooring pre-tension. The combined center of mass and moment of inertia can be found by using the given values weighted by the mass (via the parallel axis theorem for the moment of inertia). This is also when we can specify the surge and pitch degrees of freedom.\n", + "With both WEC bodies defined separately, we can now define the respective centers of mass and rotation centers of the bodies.\n", + "We will then create a union of the bodies and define the properties for the overall LUPA device.\n", + "At the equilibrium position the float is neutrally buoyant while the spar is positively buoyant and requires mooring pre-tension.\n", + "The combined center of mass and moment of inertia can be found by using the given values weighted by the mass (via the parallel axis theorem for the moment of inertia).\n", + "This is also when we can specify the surge and pitch degrees of freedom.\n", "\n", "We are using the density of *fresh* water, $\\rho = 1000 kg/m^3$, since we are modeling LUPA in a wave flume." ] @@ -247,16 +271,16 @@ "rho = 1000\n", "\n", "# mass properties float\n", - "mass_float = float_mass_properties['mass'] \n", + "mass_float = float_mass_properties['mass']\n", "cm_float = np.array(float_mass_properties['CG'])\n", - "pitch_inertia_float = float_mass_properties['MOI'][1] \n", + "pitch_inertia_float = float_mass_properties['MOI'][1]\n", "float_fb.center_of_mass = cm_float\n", "float_fb.rotation_center = float_fb.center_of_mass\n", "\n", "# mass properties spar\n", - "mass_spar = spar_mass_properties['mass'] \n", + "mass_spar = spar_mass_properties['mass']\n", "cm_spar = np.array(spar_mass_properties['CG'])\n", - "pitch_inertia_spar = spar_mass_properties['MOI'][1] \n", + "pitch_inertia_spar = spar_mass_properties['MOI'][1]\n", "spar_fb.center_of_mass = cm_spar\n", "spar_fb.rotation_center = spar_fb.center_of_mass\n", "\n", @@ -288,8 +312,11 @@ "metadata": {}, "source": [ "#### Define Hydrostatics Manually\n", - "\n", - "When combining multiple bodies, we need to be careful to set up the hydrostatics correctly. The bodies move separately in heave but move together in surge and pitch. Therefore, we should define the individual heave inertia values for each body and define the total surge and pitch inertia values. The inertia then needs to be reformatted as a DataArray for Capytaine. Lastly, the hydrostatic stiffness can be calculated for the total immersed body." + "We need to be carefully set up the hydrostatic correctly when combining multiple bodies.\n", + "The bodies move separately in heave but move together in surge and pitch.\n", + "Therefore, we should define the individual heave inertia values _for each body_, but define the _total_ surge and pitch inertia values.\n", + "The inertia then needs to be reformatted as an `xarray.DataArray` to work with Capytaine.\n", + "The hydrostatic stiffness can be calculated for the total immersed body." ] }, { @@ -350,9 +377,14 @@ "In this tutorial we will use the PacWave South conditions scaled to the LWF and will design for the maximum occurrence wave. \n", "The wave conditions are specified in terms of significant wave height and peak period. Waves are mostly fully developed at the PacWave site, so we will use a Pierson-Moskowitz wave spectrum. \n", "\n", - "The irregular wave is created with multiple phase realizations. The solver will be run once for each wave phase realization. Each of these phase realizations leads to a slightly different result for optimal average power. Thus, for irregular wave conditions, it is recommended to include multiple phase realizations. The number of phase realizations required is dependent on the desired accuracy of the result, but it is generally recommended to include enough realizations for the total simulation time to equal 20 minutes. For this tutorial, the number of realizations has been set to 2 to reduce the total run-time. \n", + "The irregular wave is created with multiple phase realizations.\n", + "The solver will be run once for each wave phase realization.\n", + "Each of these phase realizations leads to a slightly different result for optimal average power.\n", + "Thus, for irregular wave conditions, it is recommended to include multiple phase realizations.\n", + "The number of phase realizations required is dependent on the desired accuracy of the result, but it is generally recommended to include enough realizations for the total simulation time to equal 20 minutes.\n", + "For this tutorial, the number of realizations has been set to 2 to reduce the total runtime. \n", "\n", - "$t_{total} = \\frac{nrealizations}{f1} $\n", + "$$ t_{total} = \\frac{n_{realizations}}{f_1} $$\n", "\n", "Because we are now using irregular waves, we need significantly more frequencies to capture the entire wave spectrum and WEC response. " ] @@ -367,6 +399,7 @@ "\n", "f1 = 0.02\n", "nfreq = 50\n", + "freq = wot.frequency(f1, nfreq, False)\n", "\n", "# regular (for testing/setup)\n", "amplitude = 0.1\n", @@ -404,7 +437,10 @@ "metadata": {}, "source": [ "### BEM\n", - "With the LUPA geometry and physical properties fully defined, we can now run Capytaine to calculate the hydrodynamic and hydrostatic coefficients of the device, as done in previous tutorials. Capytaine can handle generalized modes and will calculate the coefficients for our 4 degrees of freedom. The BEM coefficients have been pre-calculated and are saved in a file. To re-run the BEM, which takes about 1 hour, simply move or delete the existing `data/bem.nc` file." + "With the LUPA geometry and physical properties fully defined, we can now run Capytaine to calculate the hydrodynamic coefficients of the device, as done in previous tutorials.\n", + "Capytaine can handle generalized modes and will calculate the coefficients for our 4 degrees of freedom.\n", + "The BEM coefficients have been pre-calculated and are saved in a file.\n", + "To re-run the BEM, which takes about 1 hour, simply move or delete the existing `data/bem.nc` file." ] }, { @@ -413,9 +449,6 @@ "metadata": {}, "outputs": [], "source": [ - "# compute hydrodynamic coefficients\n", - "freq = wot.frequency(f1, nfreq, False)\n", - "\n", "# read BEM data file if it exists\n", "filename = 'data/bem.nc'\n", "try:\n", @@ -429,7 +462,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We now visualize the BEM results. An irregular frequency at about 5.25 rad/s is visible in many of the plots, but this should not substantially impact our model as the wave energy at this frequency is fairly low. " + "We now visualize the BEM results.\n", + "An irregular frequency at about 5.25 rad/s is visible in many of the plots, but this should not substantially impact our model as the wave energy at this frequency is fairly low. " ] }, { @@ -508,13 +542,13 @@ "The PTO model is similar to the one developed in Tutorial 2 but using the values corresponding to the LUPA PTO. \n", "The main difference is that in the LUPA the gear ratio can be modified by changing the interchangeable sprocket for one with a different radius. \n", "The motivation here is that operation in different wave conditions or different control schemes might have different torque and speed requirements. \n", - "Oregon State University has three sprockets of diameters 81.5mm (8MX-32S-36), 127.3mm (8MX-50S-36), 203.7mm (8MX-80S-36), but the manufacturer provides a fine selection of radius size in this range. \n", + "Oregon State University has three sprockets of diameters 81.5mm (8MX-32S-36), 127.3mm (8MX-50S-36), 203.7mm (8MX-80S-36), but the manufacturer provides a larger selection of radius size in this range. \n", "\n", "The PTO system consists of a [generator](https://akribis-systems.s3-us-west-2.amazonaws.com/pdfs/catalogs/adr-b.pdf), the [interchangeable sprocket](https://assets.gates.com/content/dam/gates/home/knowledge-center/resource-library/catalogs/old-pc_carbon_manual17595_2011.pdf), and two [idler pulleys](https://dpk3n3gg92jwt.cloudfront.net/domains/gates.pt/pdf/77234200.pdf) driven by a belt.\n", "\n", "

\"Schematic \"Digital

\n", "\n", - "We start by defining all the manufacturer-specified components." + "We start by defining all the manufacturer-specified components:" ] }, { @@ -675,7 +709,7 @@ "}\n", "\n", "# generator\n", - "# Note: Model ADR220-B175 data not listed online, but we have\n", + "# Note: Model ADR220-B175 data is not listed online, but we have a\n", "# spec sheet available on request \n", "generator = {\n", " 'torque_constant': 8.51, # N*m/A\n", @@ -760,9 +794,14 @@ "### Constraints\n", "In this tutorial we include realistic constraints on both the device motions and the generator operation:\n", "\n", - "* The **maximum stroke** (difference in heave between the float and spar) is 0.5m. Although there are end-stops (hard stop), the controller should ensure a soft stop. So, instead of modeling the hard stop we will add a constraint. \n", - "* The generator has both a **maximum torque** and **maximum speed**. It is important that we do not exceed that during operation.\n", - "* Generators also have a **continuous torque** requirement. The RMS torque during operation should not exceed this value or we risk damage to and failure of the machine. The torque can go higher that this (up to the maximum) for brief periods as long as the RMS torque remains below this threshold. \n", + "* The **maximum stroke** (difference in heave between the float and spar) is 0.5m.\n", + "Although there are end-stops (hard stop), the controller should ensure a soft stop.\n", + "So, instead of modeling the hard stop we will add a constraint. \n", + "* The generator has both a **maximum torque** and **maximum speed**.\n", + "It is important that we do not exceed that during operation.\n", + "* Generators also have a **continuous torque** requirement.\n", + "The RMS torque during operation should not exceed this value or we risk damage to and failure of the machine.\n", + "The torque can go higher that this (up to the maximum) for brief periods as long as the RMS torque remains below this threshold. \n", "\n", "We enforce all these through constraints on our design optimization problem. " ] @@ -817,7 +856,10 @@ "metadata": {}, "source": [ "### Mooring system\n", - "To fully capture the dynamics acting on LUPA in the Large Wave Flume, we must model the mooring system being used to account for the restoring forces acting on the WEC. The LUPA setup uses a 4-line taut mooring system with springs connecting the spar to the wall of the wave flume. The following mooring system properties have been provided by Oregon State University. The initial fairlead coordinates and anchor coordinates are relative to the center of gravity of the combined device:" + "To fully capture the dynamics acting on LUPA in the Large Wave Flume, we must model the mooring system being used to account for the restoring forces acting on the WEC.\n", + "The LUPA setup uses a 4-line taut mooring system with springs connecting the spar to the wall of the wave flume.\n", + "The following mooring system properties have been provided by Oregon State University.\n", + "The initial fairlead coordinates and anchor coordinates are relative to the center of gravity of the combined device:" ] }, { @@ -842,18 +884,29 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "There are several analytical and numerical methods commonly used to model mooring system kinematics for offshore systems, ranging from static analysis to determine equilibrium forces, all the way to FEA used to calculate the fully dynamic response of the mooring system components. For this design problem, we're mostly concerned with modeling the correct response of LUPA due to operational waves, so the high-fidelity methods are unnecessary at this design stage. While a purely linearized approach is common here, the symmetry of the taut lines in this current system allows us to instead use an analytical solution derived by Al-Solihat and Nahon (https://doi.org/10.1080/17445302.2015.1089052), which allows us to capture nonlinear mooring effects and off-diagonal terms in the mooring stiffness matrix without any significant increase in computation time.\n", + "There are several analytical and numerical methods commonly used to model mooring system kinematics for offshore systems, ranging from static analysis to determine equilibrium forces, all the way to FEA used to calculate the fully dynamic response of the mooring system components.\n", + "For this design problem, we are mostly concerned with modeling the correct response of LUPA due to operational waves, so the high-fidelity methods are unnecessary at this design stage.\n", + "While a purely linearized approach is common here, the symmetry of the taut lines in this current system allows us to instead use an analytical solution derived by Al-Solihat and Nahon (https://doi.org/10.1080/17445302.2015.1089052), which allows us to capture nonlinear mooring effects and off-diagonal terms in the mooring stiffness matrix without any significant increase in computation time.\n", "\n", "This solution takes an exact analysis of the derivatives of the classic elastic catenary equations and simplifies them by assuming the taut lines have no sag and negligible mass, allowing for the differential changes of the horizontal and vertical restoring force to be calculated as\n", + "\n", "$$ \\frac{\\partial F_{hor}}{\\partial l} = K_{axial}\\textup{cos}^2 \\theta + \\frac{T}{L} \\textup{sin}^2 \\theta $$\n", "$$ \\frac{\\partial F_{vert}}{\\partial h} = K_{axial}\\textup{sin}^2 \\theta + \\frac{T}{L} \\textup{cos}^2 \\theta $$\n", "$$ \\frac{\\partial F_{hor}}{\\partial h} = \\frac{\\partial F_{vert}}{\\partial l} = \\textup{cos} \\theta \\textup{sin} \\theta \\left [ K_{axial}- \\frac{T}{L}\\right ]$$\n", "\n", - "where $l$ and $h$ are the horizontal and vertical distance between the anchor points and fairlead points, respectively; $T$ is the pretension; $\\theta$ is the angle between the seabed and the mooring line such that $ \\theta = \\textup{tan}^{-1}(\\frac{h}{l}) $; and $L$ is the stretched length of the mooring line such that $L = \\sqrt{l^2 + h^2} $\n", + "where $l$ and $h$ are the horizontal and vertical distance between the anchor points and fairlead points, respectively; $T$ is the pretension; $\\theta$ is the angle between the seabed and the mooring line such that\n", + "\n", + "$$ \\theta = \\textup{tan}^{-1}(\\frac{h}{l}) $$\n", + "\n", + "and $L$ is the stretched length of the mooring line such that\n", + "\n", + "$$ L = \\sqrt{l^2 + h^2} $$\n", "\n", "When these equations are applied to the linear stiffness equation in each radiating ($i$) and influencing ($j$) degrees of freedom:\n", - "$$\\boldsymbol{K_{mooring}} = - \\frac{\\partial \\boldsymbol{F_{mooring}}}{\\partial \\boldsymbol{X}} = \\sum_{m=1}^{n_{lines}} [K_{ij}]^{(m)} = - \\sum_{m=1}^{n_{lines}}[\\frac{\\partial (F_{mooring})_i}{\\partial X_j}]^{(m)} $$\n", - "where $X$ are the generalized displacements of the WEC in each degree of freedom, they yield Equation (27) from the reference above which provides an analytical solution to the mooring stiffness matrix, which translates to the `k_mooring` function below. See the reference above for the full theoretical explanation and derivation of these equations." + "$$\\boldsymbol{K_{mooring}} = - \\frac{\\partial \\boldsymbol{F_{mooring}}}{\\partial \\boldsymbol{X}} \\\\\n", + "= \\sum_{m=1}^{n_{lines}} [K_{ij}]^{(m)} = - \\sum_{m=1}^{n_{lines}}[\\frac{\\partial (F_{mooring})_i}{\\partial X_j}]^{(m)} $$\n", + "where $X$ are the generalized displacements of the WEC in each degree of freedom, they yield Equation (27) from the reference above which provides an analytical solution to the mooring stiffness matrix, which translates to the `k_mooring` function below.\n", + "See the reference above for the full theoretical explanation and derivation of these equations." ] }, { @@ -913,7 +966,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "`k_mooring` defines the 7x7 mooring matrix for a two-body point absorber WEC. Since we are only concerned with the planar components here, we can extract the rows/columns for the heaves, surge, and pitch to obtain the 4x4 matrix we need here." + "`k_mooring` defines the 7x7 mooring matrix for a two-body point absorber WEC.\n", + "Since we are only concerned with the planar components here, we can extract the rows/columns for the heaves, surge, and pitch to obtain the 4x4 matrix we need here." ] }, { @@ -951,7 +1005,7 @@ "tmp = moor.isel(omega=0).copy(deep=True)\n", "tmp['omega'] = tmp['omega'] * 0\n", "moor = xr.concat([tmp, moor], dim='omega') \n", - "moor = moor.transpose(\"omega\", \"radiating_dof\", \"influenced_dof\")\n", + "moor = moor.transpose('omega', 'radiating_dof', 'influenced_dof')\n", "moor = -1*moor # RHS of equation: -ma = Σf \n", "mooring_force = wot.force_from_rao_transfer_function(moor, True)" ] @@ -960,16 +1014,13 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### Pre-tension of spar\n", - "\n", - "The spar is positively buoyant at its equilibrium position and relies on pre-tension from the mooring. \n", - "The mooring matrix above only captures the restoring forces from the mooring lines, not the pretension itself. \n", - "Here we have two choices:\n", - "\n", - "1. We can ignore this fact. WecOptTool asssumes equilibrium so the pre-tension force is implied. \n", - "2. Explicitly model the buoyancy, gravity, and pre-tension forces as done in Tutorial 2. \n", + "#### Pretension of spar\n", "\n", - "In Tutorial 2 we had constraints on the mooring/tether line (minimum tension, never slack) and therefore it was important to explicitly model these forces. In this case we do not have such constraints and will simply allow to pre-tension force to be implied. This does not affect the solution." + "The spar is positively buoyant at its equilibrium position and relies on pretension from the mooring. \n", + "The mooring matrix above only captures the restoring forces from the mooring lines, not the pretension itself.\n", + "However, unlike Tutorial 2, we can ignore modeling this; WecOptTool assumes the device is starting in equilibrium, thus the pretension force is implied.\n", + "We modeled this in Tutorial 2 because that optimization problem (comparing the hull mass vs. pretension) required relevant constraints on the mooring/tether line, so we had to explicitly model the buoyancy, gravity, and pretension force there to make those constraints possible.\n", + "These forces have no impact on the solution to the optimization problem of interest in Part 2 of this tutorial (optimal sprocket sizing), so we can ignore them here." ] }, { @@ -1005,42 +1056,6 @@ ")" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We now plot the wave spectra in order to verify that our frequency array is sufficient to capture our target waves. The peak frequency for the PacWave South maximum occurrence is cut off somewhat, so we would want to sample more wave frequencies (i.e. increase `nfreq`) in a formal analysis to properly capture this. However, this is sufficient for purposes of this tutorial." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots()\n", - "plt1 = np.abs(waves['south_max_90'].sel(realization=0)).plot(\n", - " ax=ax, color='C0', linestyle='solid', label='PW South, 90th percentile')\n", - "plt2 = np.abs(waves['south_max_annual'].sel(realization=0)).plot(\n", - " ax=ax, color='C0', linestyle='dotted', label='PW South, Max Annual')\n", - "plt3 = np.abs(waves['south_max_occurrence'].sel(realization=0)).plot(\n", - " ax=ax, color='C0', linestyle='dashed', label='PW South, Max Occurrence')\n", - "plt4 = np.abs(waves['south_min_10'].sel(realization=0)).plot(\n", - " ax=ax, color='C0', linestyle='dashdot', label='PW South, 10th percentile')\n", - "plt5 = np.abs(waves['north_max_90'].sel(realization=0)).plot(\n", - " ax=ax, color='C1', linestyle='solid', label='PW North, 90th percentile')\n", - "plt6 = np.abs(waves['north_max_annual'].sel(realization=0)).plot(\n", - " ax=ax, color='C1', linestyle='dotted', label='PW North, Max Annual')\n", - "plt7 = np.abs(waves['north_max_occurrence'].sel(realization=0)).plot(\n", - " ax=ax, color='C1', linestyle='dashed', label='PW North, Max Occurrence')\n", - "plt8 = np.abs(waves['north_min_10'].sel(realization=0)).plot(\n", - " ax=ax, color='C1', linestyle='dashdot', label='PW North, 10th percentile')\n", - "\n", - "ax.set_title('PacWave wave spectra, LWF scale', fontweight='bold')\n", - "plts = plt1 + plt2 + plt3 + plt4 + plt5 + plt6 + plt7 + plt8\n", - "ax.legend(plts, [pl.get_label() for pl in plts], ncols=1, frameon=False)" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -1048,7 +1063,9 @@ "### Solve\n", "We now solve the inner optimization for optimal control strategy for a fixed design.\n", "\n", - "In a formal design case, it is good practice to first test the setup with a regular wave case to confirm the WEC is responding as expected. We have performed this step, but skip it here for the sake of brevity. To run the regular wave, change the wave selection in the code below. " + "In a formal design case, it is good practice to first test the setup with a regular wave case to confirm the WEC is responding as expected.\n", + "We have performed this step, but skip it here for the sake of brevity.\n", + "To run the regular wave, change the wave selection in the code below. " ] }, { @@ -1067,8 +1084,7 @@ "scale_obj = 1e-2\n", "\n", "results = wec.solve(\n", - " waves['south_max_occurrence'],\n", - " # waves['regular'], \n", + " waves['south_max_occurrence'], #waves['regular'],\n", " obj_fun, \n", " nstate_opt, \n", " scale_x_wec=scale_x_wec,\n", @@ -1079,16 +1095,6 @@ "print(f'Optimal average electrical power: {np.mean(power_results)} W')" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "x_wec, x_opt = wec.decompose_state(results[0].x)\n", - "print(len(x_opt))" - ] - }, { "cell_type": "code", "execution_count": null, @@ -1108,9 +1114,15 @@ "### Results\n", "Looking at the response of the optimal solution, we can see the behavior of the WEC and its relationship to our problem constraints:\n", "\n", - "* __PTO position__ - The PTO position corresponds to the difference in the vertical position between the two bodies. The PTO position is clearly nowhere near the 0.5 maximum stroke, so the constraint is not plotted here.\n", - "* __Excitation force and velocity__ - Much like Tutorial 2, we would expect the excitation force and velocity of each body to be in phase when maximizing for mechanical power and in the absence of constraints. Given the constraints on the PTO, this is not the case here, with the spar velocity being out of phase with the wave excitation acting on it. This indicates the differences when maximizing for mechanical vs. electrical power for LUPA in these wave conditions. It is also clear that the velocities (or their rotational equivalents) are nowhere near the generator maximum speed.\n", - "* __Generator torque__ - This plot shows that both of the torque constraints are active for this wave case, and dominate the solution given the lack of relevance of the other constraints above. The PTO RMS torque is well within the continuous torque limit, and the generator exceeds the RMS limit for only brief period. The peak torque limit is approached at a few moments as well.\n", + "* __PTO position__ - The PTO position corresponds to the difference in the vertical position between the two bodies.\n", + "The PTO position is clearly nowhere near the 0.5 m maximum stroke, so the constraint is not plotted here.\n", + "* __Excitation force and velocity__ - Much like Tutorial 2, we would expect the excitation force and velocity of each body to be in phase when maximizing for mechanical power and in the absence of constraints.\n", + "Given the constraints on the PTO, this is not the case here, with the spar velocity being out of phase with the wave excitation acting on it.\n", + "This indicates the differences when maximizing for mechanical vs. electrical power for LUPA in these wave conditions.\n", + "It is also clear that the velocities (or their rotational equivalents) are nowhere near the generator maximum speed.\n", + "* __Generator torque__ - This plot shows that both of the torque constraints are active for this wave case, and dominate the solution given the lack of relevance of the other constraints above.\n", + "The PTO RMS torque is well within the continuous torque limit, and the generator exceeds the RMS limit for only brief period.\n", + "The peak torque limit is approached at a few moments as well.\n", "* __Power__ - As expected, the greatest power absorption aligns with the times of greatest PTO velocity and peak torque magnitude. " ] }, @@ -1218,7 +1230,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We can also look at all four degrees of freedom and make sure the relationships between the forces in each direction are reasonable. We can see that the PTO and radiation forces are generally in phase in the heave direction, but inversely related for the spar. We also see that the mooring response is inversely propotional to the radiation forces of the spar (with a more delayed restoring response in pitch than in surge/heave), and that the mooring correctly has no effect on the float, which it doesn't connect to." + "We can also look at all four degrees of freedom and make sure the relationships between the forces in each direction are reasonable.\n", + "We can see that the PTO and radiation forces are generally in phase in the heave direction, but inversely related for the spar.\n", + "We also see that the mooring response is inversely propotional to the radiation forces of the spar (with a more delayed restoring response in pitch than in surge/heave), and that the mooring correctly has no effect on the float, which it does not connect to." ] }, { @@ -1256,15 +1270,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## 2. Control co-design of the PTO sprocket sizing for maximum electrical power" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ + "## 2. Control co-design of the PTO sprocket sizing for maximum electrical power\n", + "\n", "### Setup\n", - "With our model working as expected, we can now iterate on this model with varying sprocket sizing to identify the optimal size. As with previous tutorials, we wrap the code from Part 1 into a function and iterate on our chosen design parameter (i.e. each key of the `sprockets` dictionary earlier corresponds to the `x` argument of `design_obj_fun`)" + "With our model working as expected, we can now iterate on this model with varying sprocket sizing to identify the optimal size.\n", + "As with previous tutorials, we wrap the code from Part 1 into a function and iterate on our chosen design parameter (i.e. each key of the `sprockets` dictionary earlier corresponds to the `x` argument of `design_obj_fun`):" ] }, { @@ -1349,8 +1359,7 @@ " f' Sprocket design: {spr_des}')\n", "\n", " results = wec.solve(\n", - " waves['south_max_occurrence'],\n", - " # waves['regular'], \n", + " waves['south_max_occurrence'], #waves['regular'],\n", " obj_fun, \n", " nstate_opt, \n", " scale_x_wec=scale_x_wec,\n", @@ -1378,7 +1387,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Given there are only 22 sprockets, we will continue to use a brute force algorithm. This algorithm typically takes several hours to run; for sake of time here, we have included the calculated results in the `tutorial_3_results.nc` file. If you would like to run the brute force algorithm yourself (e.g. if you modify this notebook and would like to see how the results change), move or delete this file from the `data` directory." + "Given there are only 22 sprockets, we will continue to use a brute force algorithm.\n", + "This algorithm typically takes several hours to run; for sake of time here, we have included the calculated results in the `tutorial_3_results.nc` file.\n", + "If you would like to run the brute force algorithm yourself (e.g. if you modify this notebook and would like to see how the results change), move or delete this file from the `data` directory." ] }, { @@ -1415,9 +1426,13 @@ "metadata": {}, "source": [ "### Results\n", - "The power generation for all the sprockets are plotted below, with the three sprockets possessed by Oregon State University called out. Comparing the results across the range of sprocket sizes, it is clear that power generation is maximized towards smaller sprocket diameters. Here, 8MX-33S-36 sprocket (wiht the second smallest diameter) is the best sprocket selection for LUPA for the selected wave case.\n", + "The power generation for all the sprockets are plotted below, with the three sprockets possessed by Oregon State University called out.\n", + "Comparing the results across the range of sprocket sizes, it is clear that power generation is maximized towards smaller sprocket diameters.\n", + "Here, 8MX-33S-36 sprocket (the second smallest diameter) is the best sprocket selection for LUPA for the selected wave case.\n", "\n", - "The motivation to include an interchangeable sprocket in LUPA is to make it versatile across different locations and wave conditions. The optimal sprocket could be different when tested with a more or less severe wave climate, or a different mooring configuration. Try moving the `data/tutorial_3_results.nc` file as above, and test different `wave_cases` keys or modify the mooring system parameters (`init_fair_coords`, `anch_coords`, `line_ax_stiff`, and `pretension`) and see how the WEC response changes and which sprocket generates the most power." + "The motivation to include an interchangeable sprocket in LUPA is to make it versatile across different locations and wave conditions.\n", + "The optimal sprocket could be different when tested with a more or less severe wave climate, or a different mooring configuration.\n", + "Try moving the `data/tutorial_3_results.nc` file as above, and test different `wave_cases` keys or modify the mooring system parameters (`init_fair_coords`, `anch_coords`, `line_ax_stiff`, and `pretension`) and see how the WEC response changes and which sprocket generates the most power." ] }, { @@ -1484,7 +1499,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.4" + "version": "3.11.6" }, "vscode": { "interpreter": { diff --git a/examples/tutorial_4_Pioneer.ipynb b/examples/tutorial_4_Pioneer.ipynb index 470e251ac..6a27f9315 100644 --- a/examples/tutorial_4_Pioneer.ipynb +++ b/examples/tutorial_4_Pioneer.ipynb @@ -1,26 +1,32 @@ { "cells": [ { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "# Tutorial 4 - Pioneer\n", - "This tutorial models a potential design for a WEC used to provide power to instruments in the [Pioneer Central Surface Mooring System](https://oceanobservatories.org/site/cp01cnsm/) within the [Coastal Pioneer Array](https://oceanobservatories.org/array/coastal-pioneer-array/) off the coast of New England. This system has instrumentation to measure various meteorological, surface, near-surface, and seabed phenomena on the Continental Shelf-Slope and transmit back to shore.\n", + "This tutorial models a potential design for a WEC used to provide power to instruments in the [Pioneer Central Surface Mooring System](https://oceanobservatories.org/site/cp01cnsm/) within the National Science Foundation Ocean Observatories Initiative [Coastal Pioneer Array](https://oceanobservatories.org/array/coastal-pioneer-array/).\n", + "This system has instrumentation to measure various meteorological, surface, near-surface, and seabed phenomena on the Continental Shelf-Slope and transmit back to shore.\n", "\n", - "Unlike previous tutorials, this tutorial does not include an outer optimization loop. Instead, the focus here is on effectively modeling an optimization problem for the control of a unique WEC archetype with a pitch resonator PTO with several co-dependent components. This is completely setup in Part 1, and includes:\n", + "Unlike previous tutorials, this tutorial does not include an outer optimization loop.\n", + "Instead, the focus here is on effectively modeling an optimization problem for the control of a unique WEC archetype with a pitch resonator PTO with several co-dependent components.\n", + "This is completely setup in Part 1, and includes:\n", "\n", "* Expanding the control state vector\n", "* Custom PTO physics\n", "* Modeling non-hydrodynamic degrees of freedom\n", "\n", - "This tutorial is divided into three parts. The first sets up the problem including the points above. The second and third show results using a regular and irregular wave, respectively.\n", + "This tutorial is divided into three parts.\n", + "The first sets up the problem including the points above.\n", + "The second and third show results using a regular and irregular wave, respectively.\n", "\n", "1. [Model setup](#1.-Model-setup)\n", "2. [Regular wave results](#2.-Regular-wave-results)\n", "3. [Irregular wave](#3.-Irregular-wave)\n", "\n", "\n", - "

\"Diagram

" + "

\"Diagram

" ] }, { @@ -33,7 +39,6 @@ "import autograd.numpy as np\n", "import matplotlib.pyplot as plt\n", "from scipy.linalg import block_diag\n", - "import xarray as xr\n", "\n", "import wecopttool as wot\n", "\n", @@ -42,6 +47,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -49,9 +55,12 @@ "\n", "### 1.1 Waves\n", "We start with setting up the different waves we want to model, as this will inform what to select for our frequency range, which we need throughout the rest of the problem setup. \n", - "We will consider two waves: a regular wave and an irregular wave, both with typical characteristics of the deployment site. The regular wave is roughly at 0.35 Hz, the known pitch resonance frequency of the buoy. The irregular wave has a peak period of 5 seconds, matching that of the deployment site. \n", + "We will consider two waves: a regular wave and an irregular wave, both with typical characteristics of the deployment site.\n", + "The regular wave is roughly at 0.35 Hz, the known pitch resonance frequency of the buoy.\n", + "The irregular wave has a peak period of 5 seconds, matching that of the deployment site.\n", "\n", - "Please refer to Tutorial 3 for information about selecting the number of realizations. For the purpose of the tutorial, the number of realizations has been set to 2 to reduce run-time.\n", + "Please refer to Tutorial 3 for information about selecting the number of realizations.\n", + "For the purpose of the tutorial, the number of realizations has been set to 2 to reduce runtime.\n", "\n", "The procedure for determining an appropriate frequency array for irregular wave conditions is detailed at the end of this tutorial." ] @@ -64,7 +73,7 @@ "source": [ "fend = 1.875\n", "nfreq = 150\n", - "f1 = fend/nfreq # Hz" + "f1 = fend / nfreq" ] }, { @@ -91,11 +100,11 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "We plot the wave elevation spectra to check if the chosen frequency array covers the main excitation frequency, converges to zero for larger frequencies and can capture multiple harmonics which are required for nonlinear dynamics, since the states are multiplied with each other.\n", - "If the plot below does not cover the desired frequencies please adjust the frequency array." + "We plot the wave elevation spectra to check if the chosen frequency array covers the main excitation frequency, converges to zero for larger frequencies and can capture multiple harmonics which are required for nonlinear dynamics, since the states are multiplied with each other." ] }, { @@ -113,12 +122,15 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### 1.2 Basic properties\n", + "\n", "#### Geometry\n", - "To get the required hydrodynamic coefficients of the Pioneer design, we only need to be concerned with creating a mesh of the buoy geometry. The buoy has the same general shape as the WaveBot used in Tutorial 1, so we will use the build-in `geom.WaveBot` object and change the dimensions to simplify the mesh creation process." + "To get the required hydrodynamic coefficients of the Pioneer design, we only need to be concerned with creating a mesh of the buoy geometry.\n", + "The buoy has the same general shape as the WaveBot used in Tutorial 1, so we will use the build-in `geom.WaveBot` object and change the dimensions to simplify the mesh creation process." ] }, { @@ -141,15 +153,23 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "#### Design properties\n", - "The Pioneer team has developed initial specifications for a full-sized WEC design that fits within the buoy dimensions and operating at resonance. There are several components that we need to capture in the PTO model:\n", - "\n", - "* **Buoy**: As mentioned, this has the same basic geometric parameters as the WaveBot used in Tutorial 1. Since we're only modeling the pitch degree of freedom, we only need the pitch moment of inertia and not the mass of the buoy.\n", - "* **Flywheel**: The flywheel is contained and dimensioned to fit on top of the buoy. It rotates in pitch independently of the buoy, but is linked to the buoy through two parallel connections: the torsional spring and the generator. Since the flywheel is protected from wave loading by the buoy, it is **not** subject to hydrostatics or hydrodynamics.\n", - "* **Spring**: The magnetic torsional spring provides positive stiffness to the flywheel. It has a linear displacement up to 45 degrees, at which point it \"wraps around\" and the stiffness begins decreasing. For simplicity, we will model the spring as strictly linear. The spring is connected to a gearbox which makes the position of the spring (and therefore, the generator shaft) different from the relative position of the flywheel and buoy. \n", + "The Pioneer team has developed initial specifications for a full-sized WEC design that fits within the buoy dimensions and operating at resonance.\n", + "There are several components that we need to capture in the PTO model:\n", + "\n", + "* **Buoy**: As mentioned, this has the same basic geometric parameters as the WaveBot used in Tutorial 1.\n", + "Since we're only modeling the pitch degree of freedom, we only need the pitch moment of inertia and not the mass of the buoy.\n", + "* **Flywheel**: The flywheel is contained and dimensioned to fit on top of the buoy.\n", + "It rotates in pitch independently of the buoy, but is linked to the buoy through two parallel connections: the torsional spring and the generator.\n", + "Since the flywheel is protected from wave loading by the buoy, it is **not** subject to hydrostatics or hydrodynamics.\n", + "* **Spring**: The magnetic torsional spring provides positive stiffness to the flywheel.\n", + "It has a linear displacement up to 45 degrees, at which point it \"wraps around\" and the stiffness begins decreasing.\n", + "For simplicity, we will model the spring as strictly linear.\n", + "The spring is connected to a gearbox which makes the position of the spring (and therefore, the generator shaft) different from the relative position of the flywheel and buoy. \n", "\n", "A rendering of the Pioneer WEC model is shown here with the buoy pitch in red and the flywheel pitch in green:\n", "

\"Diagram

" @@ -181,29 +201,38 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "#### Pitch resonator\n", - "This system uses a unique PTO system, where the generator velocity is dependent on the relative pitching rotation of the buoy and the flywheel. The system can be modeled as a coupled spring-mass-damper system, with the generator represented as $B_{PTO}$. The spring-mass-damper system and equivalent circuit model are shown below. Note that all of these values are rotational and are drawn here linearly for simplicity. \n", + "This system uses a unique PTO system, where the generator velocity is dependent on the relative pitching rotation of the buoy and the flywheel.\n", + "The system can be modeled as a coupled spring-mass-damper system, with the generator represented as $B_{PTO}$.\n", + "The spring-mass-damper system and equivalent circuit model are shown below.\n", + "Note that all of these values are rotational and are drawn here linearly for simplicity. \n", "\n", "

\"Pioneer \"Pioneer

\n", "\n", "This corresponds to the following dynamics equations:\n", "\n", - "(1) $$ [J_{buoy} + J(\\omega))] \\ddot{\\theta}_{buoy} = T_{hydro} - K_{hydro}\\theta_{buoy} - B(\\omega)\\dot{\\theta}_{buoy} - K_{spring}(\\theta_{buoy} - \\theta_{flywheel})/N^2 - (B_{PTO} + B_{fric})(\\dot{\\theta}_{buoy} - \\dot{\\theta}_{flywheel}) $$\n", + "(1)\n", + "\n", + "$$ [J_{buoy} + J(\\omega))] \\ddot{\\theta}_{buoy} = T_{hydro} - K_{hydro}\\theta_{buoy} - B(\\omega)\\dot{\\theta}_{buoy} - K_{spring}(\\theta_{buoy} - \\theta_{flywheel})/N^2 - (B_{PTO} + B_{fric})(\\dot{\\theta}_{buoy} - \\dot{\\theta}_{flywheel}) $$\n", + "\n", + "(2)\n", "\n", - "(2) $$ J_{flywheel} \\ddot{\\theta}_{flywheel} = K_{spring}(\\theta_{buoy} - \\theta_{flywheel})/N^2 + (B_{PTO} + B_{fric})(\\dot{\\theta}_{buoy} - \\dot{\\theta}_{flywheel}) $$\n", + "$$ J_{flywheel} \\ddot{\\theta}_{flywheel} = K_{spring}(\\theta_{buoy} - \\theta_{flywheel})/N^2 + (B_{PTO} + B_{fric})(\\dot{\\theta}_{buoy} - \\dot{\\theta}_{flywheel}) $$\n", "\n", "We will explore how to capture these dynamics in WecOptTool in the following sections." ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "#### Hydrodynamics and hydrostatics\n", - "As mentioned above, the `FloatingBody` object in Capytaine only needs to model the buoy, since no other components are being excited by the waves. The inertia matrix needs to be defined manually here since it is not based on the displaced mass." + "As mentioned above, the `FloatingBody` object in Capytaine only needs to model the buoy, since no other components are being excited by the waves." ] }, { @@ -217,36 +246,29 @@ "pnr_fb.center_of_mass = np.array([0., 0., buoy_props['CG']])\n", "pnr_fb.rotation_center = pnr_fb.center_of_mass\n", "ndof = pnr_fb.nb_dofs\n", - "pnr_fb.show_matplotlib()\n", - "\n", - "pnr_fb.inertia_matrix = xr.DataArray([[buoy_props['MOI']]],\n", - " dims=['influenced_dof', 'radiating_dof'],\n", - " coords={'influenced_dof' : ['Pitch'],\n", - " 'radiating_dof' : ['Pitch']},\n", - " name=\"inertia_matrix\"\n", - " )" + "pnr_fb.show_matplotlib()" ] }, { "cell_type": "code", "execution_count": null, - "metadata": { - "scrolled": true - }, + "metadata": {}, "outputs": [], "source": [ "rho = 1025. # kg/m^3\n", "freq = wot.frequency(f1, nfreq, False) # False -> no zero frequency\n", - "bem_data = wot.run_bem(pnr_fb, freq, rho=rho)\n", + "bem_data = wot.run_bem(pnr_fb, freq)\n", "omega = bem_data.omega.values\n", "\n", "pnr_fb.keep_immersed_part()\n", + "k_buoy = pnr_fb.compute_hydrostatic_stiffness(rho=rho).values.squeeze()\n", "k_spring = spring_props['Max torque'] / spring_props['Max displacement']\n", - "print(f\"Hydrostatic stiffness from Capytaine: {bem_data['hydrostatic_stiffness'].values.squeeze()} N-m/rad\")\n", + "print(f'Hydrostatic stiffness from Capytaine: {k_buoy} N-m/rad')\n", "print('Hydrostatic stiffness from experiment: 37204 N-m/rad')" ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -288,26 +310,36 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### 1.3 PTO\n", - "The generator shaft velocity is the difference between the buoy velocity and the flywheel velocity. Because the velocity PTO depends not only on the hydrodynamic states (`x_wec`, buoy pitch) but also on an additional non-hydrodynamic state (flywheel pitch), we cannot use the `PTO` module we have used in previous tutorials. Instead, we will make two adjustments to our model compared to previous tutorials:\n", + "The generator shaft velocity is the difference between the buoy velocity and the flywheel velocity.\n", + "Because the velocity PTO depends not only on the hydrodynamic states (`x_wec`, buoy pitch) but also on an additional non-hydrodynamic state (flywheel pitch), we cannot use the `PTO` module we have used in previous tutorials.\n", + "We will make two adjustments to our previous modeling approach model to accurately model the PTO:\n", "\n", - "1. We will adjust the `x_opt` vector to include the flywheel motion\n", - "2. We will manually define the equations for the PTO dynamics and energy equations" + "1. Adjust the `x_opt` vector to include the flywheel motion\n", + "2. Manually define the PTO dynamics and energy equations in place on the `PTO` module" ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "#### Capturing flywheel motions\n", - "In previous tutorials, all the relevant WEC dynamics have been captured in the `x_wec` vector. However, `x_wec` assumes all the degrees of freedom are excited by waves, which is not the case for the flywheel in the Pioneer model.\n", + "In previous tutorials, all the relevant WEC dynamics have been captured in the `x_wec` vector.\n", + "However, `x_wec` assumes all the degrees of freedom are excited by waves, which is not the case for the flywheel in the Pioneer model.\n", + "Instead, we will include the flywheel dynamics in the `x_opt` vector.\n", "\n", - "The `x_opt` vector has previously only been used to model the PTO force. However, there is no limit to what `x_opt` can include; it can theoretically include anything that is needed to model the PTO control. Since we need to capture the flywheel dynamics to properly model the PTO, we will append the Fourier coefficients of the flywheel's position to `x_opt`. The first part of `x_opt` will continue to be used for the PTO force (e.g. Fourier coefficients of the force time-series for an unstructured controller). \n", + "The `x_opt` vector has previously only been used to model the PTO force.\n", + "However, there is no limit to what `x_opt` can include; it can theoretically include anything that is needed to model the PTO control.\n", + "Here, we will append the Fourier coefficients of the flywheel's position to `x_opt`.\n", + "The first part of `x_opt` will continue to be used for the PTO force (i.e. Fourier coefficients of the force time-series for an unstructured controller). \n", "\n", - "Note in the code further down that `x_opt` will be spliced as either `x_opt[:nstate_pto]` to exclude the flywheel position states, or `x_opt[nstate_pto:]` to exclude the PTO force states. Remember, `x_opt` can be defined arbitrarily, and specific meanings to the states are given elsewhere in the model." + "Note in the code further down that `x_opt` will be spliced as either `x_opt[:nstate_pto]` to exclude the flywheel position states, or `x_opt[nstate_pto:]` to exclude the PTO force states.\n", + "Remember, `x_opt` can be defined arbitrarily, and specific meanings to the states are given elsewhere in the model." ] }, { @@ -322,11 +354,13 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "#### Manually defining PTO equations\n", - "Instead of calling the `PTO` module, we will manually define the dynamics and energy equations needed for WecOptTool to calculate electrical power, our quantity of interest for this optimization problem. These equations are also needed for the additional forces and constraints defined later on.\n", + "Instead of calling the `PTO` module, we will manually define the dynamics and energy equations needed for WecOptTool to calculate electrical power, our quantity of interest for this optimization problem.\n", + "These equations are also needed for the additional forces and constraints defined later on.\n", "\n", "##### Relative motion\n", "Here we define functions for the relative motion of the buoy and flywheel, derived from `x_wec` and `x_opt` respectively." @@ -356,6 +390,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -376,11 +411,13 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "##### PTO Impedance\n", - "The PTO impedance is defined using the same 2-port impedance model as in previous tutorials. The drivetrain inertia, friction, and stiffness are not included here since they are accounted for in the modeling of the additional non-hydrodynamic degree of freedom, as additional forces and constraints below." + "The PTO impedance is defined using the same 2-port impedance model as in previous tutorials.\n", + "The drivetrain inertia, friction, and stiffness are not included here since they are accounted for in the modeling of the additional non-hydrodynamic degree of freedom via additional forces and constraints below." ] }, { @@ -400,10 +437,13 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "When using the `PTO` module, the 2x2 impedance matrix is passed to the `wot.pto.PTO` object and converted into a transfer matrix to calculate the power at each frequency. While we're not using the `PTO` module, we will repeat this process almost verbatim here; see the `_make_abcd` and `_make_mimo_transfer_mat` functions in the `PTO` module if you are interested in more technical details." + "When using the `PTO` module, the 2x2 impedance matrix is passed to the `wot.pto.PTO` object and converted into a transfer matrix to calculate the power at each frequency.\n", + "While we are not using the `PTO` module, we will repeat this process almost verbatim here.\n", + "See the `_make_abcd` and `_make_mimo_transfer_mat` functions in the `PTO` module if you are interested in more technical details." ] }, { @@ -441,11 +481,13 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "##### Power and Energy\n", - "Finally, we will wrap the relative motions, force, and impedance functions together to calculate average electrical power. This is again very close to what is found in the `PTO` module, except `rel_velocity` replaces `wot.pto.PTO.velocity` and `f_motor` replaces `wot.pto.PTO.force`." + "Finally, we will wrap the relative motions, force, and impedance functions together to calculate average electrical power.\n", + "This is again very close to what is found in the `PTO` module, except `rel_velocity` replaces `wot.pto.PTO.velocity` and `f_motor` replaces `wot.pto.PTO.force`." ] }, { @@ -485,12 +527,15 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### 1.4 Constraints\n", "The Pioneer model only contains one constraint based on the motor being used:\n", - " * **Peak torque** - The motor should avoid torques greater than 120 N-m. This is the same basic constraint as `const_f_pto` from Tutorial 1, except we use our `f_motor` definition instead of `wot.pto.PTO.force_on_wec`." + "\n", + " * **Peak torque** - The motor should avoid torques greater than 120 N-m.\n", + " This is the same basic constraint as `const_f_pto` from Tutorial 1, except we use our `f_motor` definition instead of `wot.pto.PTO.force_on_wec`." ] }, { @@ -506,14 +551,21 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### 1.5 Additional forces\n", "Here we add in the forces acting on the bodies other than those generated from wave loading.\n", - " * **Motor damping** - The resisting torque resulting from the damping on the PTO. This is very similar to the `wot.pto.PTO.force_on_wec` additional force given in previous tutorials. This is already being accounted for by the `f_motor` function above.\n", - " * **Flywheel friction** - The dissipative torque from the generator and components. This is defined as a nonlinear force using both Coulomb friction (dependent on the PTO direction) and the viscous friction (dependent on the PTO speed).\n", - " * **Magnetic spring** - The restoring torque caused by the torsional spring between the buoy and flywheel. Note the gear ratio is included in this equation, as the gearbox is connected in series with the spring. The position of the spring is the relative position of the flywheel and buoy scaled by the reciprocal of gear ratio squared. " + "\n", + " * **Motor damping** - The resisting torque resulting from the damping on the PTO.\n", + " This is very similar to the `wot.pto.PTO.force_on_wec` additional force given in previous tutorials. \n", + " This is already being accounted for by the `f_motor` function above.\n", + " * **Flywheel friction** - The dissipative torque from the generator and components.\n", + " This is defined as a nonlinear force using both Coulomb friction (dependent on the PTO direction) and the viscous friction (dependent on the PTO speed).\n", + " * **Magnetic spring** - The restoring torque caused by the torsional spring between the buoy and flywheel.\n", + " Note the gear ratio is included in this equation, as the gearbox is connected in series with the spring.\n", + " The position of the spring is the relative position of the flywheel and buoy scaled by the reciprocal of gear ratio squared. " ] }, { @@ -536,13 +588,20 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### 1.6 Flywheel residual equation\n", - "To make sure the flywheel dynamics are properly modeled in the pseudo-spectral method, we will introduce an equality constraint consisting of Newton's 2nd law of motion on the flywheel in residual form (i.e. $r(x) = I \\alpha - \\tau = 0 $). This is the same structure as the residual for the WEC dynamics described in the [WecOptTool theory documentation](https://sandialabs.github.io/WecOptTool/theory.html); also compare this equation to the 2nd dynamics equation listed [above](#pitch-resonator).\n", + "To make sure the flywheel dynamics are properly modeled in the pseudo-spectral method, we will introduce an equality constraint consisting of Newton's 2nd law of motion on the flywheel in residual form:\n", + "\n", + "$$ r(x) = I \\alpha - \\tau = 0 $$\n", + "\n", + "This is the same structure as the residual for the WEC dynamics described in the [WecOptTool theory documentation](https://sandialabs.github.io/WecOptTool/theory.html).\n", + "Also compare this equation to the 2nd dynamics equation listed [above](#pitch-resonator).\n", "\n", - "This is required because the equations of motion described by `x_wec` only capture the buoy pitch degree of freedom. This provides a second equality constraint which will result in the correct two coupled dynamic equations." + "This is required because the equations of motion described by `x_wec` only capture the buoy pitch degree of freedom.\n", + "This equation provides a second equality constraint to capture the flywheel pitch degree of freedom, resulting in two coupled dynamic equations." ] }, { @@ -567,10 +626,12 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "We now create the additional forces and constaints that will be passed to the `WEC` object. Note that `f_add` only pertains to the buoy since that is the only degree of freedom included in the BEM data; our flywheel residual equation handles these forces for the flywheel in the opposite direction." + "We now create the additional forces and constaints that will be passed to the `WEC` object.\n", + "Note that `f_add` only pertains to the buoy since that is the only degree of freedom included in the BEM data; our flywheel residual equation handles these forces for the flywheel in the opposite direction." ] }, { @@ -592,6 +653,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -613,12 +675,14 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## 2. Regular wave results\n", + "\n", "### 2.1 Solve\n", - "As always, we will optimize for electrical power absorption." + "As in previous tutorials, we will optimize for electrical power absorption." ] }, { @@ -640,11 +704,14 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### 2.2 Post-process and plot\n", - "Again, since we're not using the `PTO` module, post-processing using `wot.pto.PTO.post_process` is not an option here, so we have to manually post-process the outputs related to the PTO and flywheel. This is pretty intuitive using the functions we created earlier. The outputs related to the buoy can still be derived directly from `wot.wec.post_process`." + "Again, since we are not using the `PTO` module, post-processing using `wot.pto.PTO.post_process` is not an option here, so we have to manually post-process the outputs related to the PTO and flywheel.\n", + "This is pretty intuitive using the functions we created earlier.\n", + "The outputs related to the buoy can still be derived directly from `wot.wec.post_process`." ] }, { @@ -670,13 +737,16 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Some observations about the optimized Pioneer model:\n", "\n", " * The flywheel and buoy match frequency, but are out of phase due to the forcing from the spring and motor applied to both bodies.\n", - " * The gearing in series with the torsional spring (which reduces the effective spring stiffness) significantly amplifies the rotation of the flywheel despite the buoy only pitching modestly. The gear ratio of 3 was selected by the Pioneer team to keep the system in resonance considering the spring stiffness, moment of inertia of the flywheel, and the resonance frequency of the buoy. Try increasing the gear ratio or flywheel moment of inertia -- this will actually reduce the power generated since it will bring the effective stiffness of the flywheel out of resonance, causing less motion relative to the buoy.\n", + " * The gearing in series with the torsional spring (which reduces the effective spring stiffness) significantly amplifies the rotation of the flywheel despite the buoy only pitching modestly.\n", + " The gear ratio of 3 was selected by the Pioneer team to keep the system in resonance considering the spring stiffness, moment of inertia of the flywheel, and the resonance frequency of the buoy.\n", + " Try increasing the gear ratio or flywheel moment of inertia—this will actually reduce the power generated since it will bring the effective stiffness of the flywheel out of resonance, causing less motion relative to the buoy.\n", " * The mechanical and electrical power outputs are similar, since our impedance model has only a small amount of resistance and no inductance.\n", " * The buoy's pitch amplitude is larger than expected for this device and is likely due to underestimation of the radiation damping by the BEM. " ] @@ -736,17 +806,16 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "### 2.3 Sankey Diagram" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We use a Sankey diagram to visualize the average power flow from waves to electricity. On the very left is the theoretically possible optimal excitation. In order to reach this upper bound of exitation the WEC pitch velocity would need to be in phase with the pitch excitation force, in this case the radiated power is equal the amount of absorbed mechanical power. In practice, this will usually imply putting electrical power into the system (something we want to avoid!!!). \n", + "### 2.3 Sankey Diagram\n", + "We use a Sankey diagram to visualize the average power flow from waves to electricity.\n", + "The left end shows the theoretically possible optimal excitation.\n", + "In order to reach this upper bound of excitation, the WEC pitch velocity would need to be in phase with the pitch excitation force (or, in this case, the radiated power is equal the amount of absorbed mechanical power).\n", + "In practice, this will usually imply putting electrical power into the system (something we want to avoid!!!).\n", + "\n", "With co-design, we are instead tapping the unused potential while limiting PTO losses and radiated power." ] }, @@ -773,10 +842,12 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "We also calculate the power dissipated due to flywheel friction and make sure that the absorbed power (calculated as the difference between excited and radiated power) matches the sum of mechanical power captured by the PTO and the power dissipated due to flywheel friction. We use a relative tolerance of 1%." + "We also calculate the power dissipated due to flywheel friction and make sure that the absorbed power (calculated as the difference between excited and radiated power) matches the sum of mechanical power captured by the PTO and the power dissipated due to flywheel friction.\n", + "We use a relative tolerance of 1%." ] }, { @@ -815,7 +886,7 @@ "\n", "Power_flows = [P_opt_excitation, P_PTO_loss, -1*avg_fw_fric_power, -1*P_radiated, -1*P_unused, avg_elec_power, ]\n", "\n", - "fig = plt.figure(figsize = [6,4])\n", + "fig = plt.figure(figsize = [8,4])\n", "ax = fig.add_subplot(1, 1, 1,)\n", "sankey = Sankey(ax=ax, \n", " scale=0.5/P_max_absorbable,\n", @@ -830,7 +901,7 @@ " 'Unused Potential \\n(neither absorbed nor radiated)', \n", " 'Electrical'], \n", " orientations=[0, -1, -1,-1, -1, 0], # arrow directions\n", - " pathlengths = [0.4,0.2,0.6,0.6,0.7,0.5,],\n", + " pathlengths = [0.4,0.4,0.8,1.1,0.7,0.5,],\n", " trunklength = 1.5,\n", " edgecolor = '#2b8cbe',\n", " facecolor = '#2b8cbe' )\n", @@ -838,22 +909,27 @@ "diagrams = sankey.finish()\n", "for diagram in diagrams:\n", " for text in diagram.texts:\n", - " text.set_fontsize(10);\n", + " text.set_fontsize(10)\n", "plt.axis(\"off\") \n", "plt.show()" ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## 3. Irregular wave\n", + "\n", "### 3.1 Solve\n", "We will now run the same analysis for irregular waves. \n", "\n", - "An interesting result is that due to the narrow banded resonance of the flywheel, the controller attempts to make the excitation force monochromatic with the resonant frequency. To achieve this it uses significant reactive power (power by the PTO into the system). This is still worth it, resulting in a larger average electrical power output. \n", + "Interestingly, due to the narrow banded resonance of the flywheel, the controller attempts to make the excitation force monochromatic with the resonant frequency.\n", + "To achieve this, it uses significant reactive power (power by the PTO into the system).\n", + "This is still worth it though, resulting in a larger average electrical power output.\n", "\n", - "As noted previously, the optimization problem is solved for each wave realization. The optimal average power shown is the total average across the different realizations." + "As noted previously, the optimization problem is solved for each wave realization.\n", + "The optimal average power shown is the total average across the different realizations." ] }, { @@ -876,6 +952,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -962,9 +1039,13 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### 3.1 Notes on selection of frequency array and realizations\n", - "\n", - "In order to determine a suitable frequency range, it is best to complete an optimization with a large frequency range and examine the frequency domain results to see how large a range of frequencies is necessary to capture the relavent dynamics. Often, capturing nonlinear dynamics (such as due to constraints) requires a larger frequency range. In the case of the Pioneer WEC, it is clear that (likely due to the PTO torque constraint) the nonlinearities cause excitation at the odd harmonics of the excited frequency (which is slightly larger than the wave frequency itself for the Pioneer system). Specifically, the PTO force has significant peaks around the excited frequency and at the 3rd harmonic (with a small peak at the 5th harmonic as well) which leads to peaks in the frequency spectrum of electrical power at the 2nd, 4th, and 6th harmonics. The frequency values are normalized in the plots below to more clearly show the harmonics. In order to capture most of these nonlinearities, we chose a frequency range from 0 to 1.875 for this tutorial. " + "### 3.3 Notes on selection of frequency array and realizations\n", + "In order to determine a suitable frequency range, it is best to complete an optimization with a large frequency range and examine the frequency domain results to see how large a range of frequencies is necessary to capture the relavent dynamics.\n", + "Often, capturing nonlinear dynamics (such as due to constraints) requires a larger frequency range.\n", + "In the case of the Pioneer WEC, it is clear that (likely due to the PTO torque constraint) the nonlinearities cause excitation at the odd harmonics of the excited frequency (which is slightly larger than the wave frequency itself for the Pioneer system).\n", + "Specifically, the PTO force has significant peaks around the excited frequency and at the 3rd harmonic (with a small peak at the 5th harmonic as well) which leads to peaks in the frequency spectrum of electrical power at the 2nd, 4th, and 6th harmonics.\n", + "The frequency values are normalized in the plots below to more clearly show the harmonics.\n", + "In order to capture most of these nonlinearities, we chose a frequency range from 0 to 1.875 for this tutorial. " ] }, { @@ -997,7 +1078,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "After determining a frequency range of interest, it is important to make sure enough frequencies are included in the array to generate accurate results. The Pioneer WEC has a very narrow banded response, which means it requires a large number of frequencies to model the response accurately. For any WecOptTool analysis in irregular wave conditions, it is best to complete a convergence study on the number of frequencies in the wave conditions of interest. The convergence study shown below varies the number of frequencies and includes enough realizations of each array to reach a 20 minute total simulation time (discussed further below). As shown below, an array of 150 frequencies is sufficient to model the system to within about 2% of the actual resultant mean power. Because the computation time increases with increasing number of frequencies, it is desirable to select the number of frequencies to minimize the computation time while meeting the intended accuracy. " + "After determining a frequency range of interest, it is important to make sure enough frequencies are included in the array to generate accurate results.\n", + "The Pioneer WEC has a very narrow banded response, which means it requires a large number of frequencies to model the response accurately.\n", + "For any WecOptTool analysis in irregular wave conditions, it is best to complete a convergence study on the number of frequencies in the wave conditions of interest.\n", + "The convergence study shown below varies the number of frequencies and includes enough realizations of each array to reach a 20 minute total simulation time (discussed further below).\n", + "As shown below, an array of 150 frequencies is sufficient to model the system to within about 2% of the actual resultant mean power.\n", + "Because the computation time increases with increasing number of frequencies, it is desirable to select the number of frequencies to minimize the computation time while meeting the intended accuracy." ] }, { @@ -1027,11 +1113,15 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Next, the number of phase realizations should be considered. Generally, it is recommended that enough realizations be used for the total simulation time to equal 20 minutes. \n", + "Next, the number of phase realizations should be considered.\n", + "Generally, it is recommended that enough realizations be used for the total simulation time to equal 20 minutes. \n", "\n", - "$t_{total} = \\frac{nrealizations}{f1} $\n", + "$$ t_{total} = \\frac{n_{realizations}}{f1} $$\n", "\n", - "Although it usually leads to consistent results, this recommendation is somewhat arbitrary. To better understand the effect of the number of realizations on the overall result, it can be useful to complete a convergence study. The actual number of realizations needed depends on the problem itself (dynamics, constraints, etc.) and the desired precision of the result. As shown below, in the case of the Pioneer WEC, after about 15 realizations (20 minutes total simulation time) the result is within about 0.5% of the converged result which is deemed sufficient for this study." + "Although it usually leads to consistent results, this recommendation is somewhat arbitrary.\n", + "To better understand the effect of the number of realizations on the overall result, it can be useful to complete a convergence study.\n", + "The actual number of realizations needed depends on the problem itself (dynamics, constraints, etc.) and the desired precision of the result.\n", + "As shown below, in the case of the Pioneer WEC, after about 15 realizations (20 minutes total simulation time) the result is within about 0.5% of the converged result which is deemed sufficient for this study." ] }, { @@ -1070,13 +1160,6 @@ "ax2.set_xticklabels(tick_function(ax1.get_xticks()))\n", "ax2.set_xlabel('Total simulation time [min]')" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { @@ -1095,7 +1178,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.5" + "version": "3.11.6" } }, "nbformat": 4, From 59c25ca87b303889b3390d7229b14a72c59bdf91 Mon Sep 17 00:00:00 2001 From: jorgeypcb Date: Thu, 25 Apr 2024 20:05:17 -0600 Subject: [PATCH 15/30] Implement cyipopt minimize_ipopt --- examples/tutorial_1_WaveBot.ipynb | 1140 ++++++++++++++++++++++++++++- examples/tutorial_3_LUPA.ipynb | 315 ++++++-- tests/test_integration.py | 23 +- wecopttool/core.py | 21 +- 4 files changed, 1374 insertions(+), 125 deletions(-) diff --git a/examples/tutorial_1_WaveBot.ipynb b/examples/tutorial_1_WaveBot.ipynb index 030077bab..bcb4ad691 100644 --- a/examples/tutorial_1_WaveBot.ipynb +++ b/examples/tutorial_1_WaveBot.ipynb @@ -26,7 +26,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -83,7 +83,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -107,9 +107,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "fb.show_matplotlib()\n", "_ = wb.plot_cross_section(show=True) # specific to WaveBot" @@ -127,9 +148,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Warning: Minimum wavelength in frequency spectrum (0.24980959867703897) is smaller than the minimum computable wavelength (0.8056649972774919).\n" + ] + } + ], "source": [ "f1 = 0.05\n", "nfreq = 50\n", @@ -157,9 +186,158 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:wecopttool.core:Using the geometric centroid as the center of gravity (COG).\n", + "WARNING:wecopttool.core:Using the center of gravity (COG) as the rotation center for hydrostatics.\n", + "C:\\Users\\jorge\\miniforge3\\lib\\site-packages\\capytaine\\io\\xarray.py:68: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.\n", + " keys_in_dataset = set(dataset.dims.keys())\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=8.796, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=7.97e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=9.111, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=7.43e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=9.425, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=6.94e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=9.739, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=6.50e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=10.053, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=6.10e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=10.367, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=5.73e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=10.681, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=5.40e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=10.996, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=5.10e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=11.310, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=4.82e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=11.624, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=4.56e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=11.938, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=4.32e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=12.252, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=4.11e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=12.566, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=3.90e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=12.881, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=3.72e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=13.195, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=3.54e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=13.509, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=3.38e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=13.823, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=3.23e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=14.137, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=3.08e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=14.451, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=2.95e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=14.765, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=2.83e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=15.080, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=2.71e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=15.394, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=2.60e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=15.708, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=2.50e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=8.796, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=7.97e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=9.111, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=7.43e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=9.425, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=6.94e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=9.739, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=6.50e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=10.053, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=6.10e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=10.367, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=5.73e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=10.681, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=5.40e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=10.996, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=5.10e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=11.310, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=4.82e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=11.624, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=4.56e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=11.938, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=4.32e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=12.252, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=4.11e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=12.566, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=3.90e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=12.881, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=3.72e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=13.195, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=3.54e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=13.509, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=3.38e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=13.823, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=3.23e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=14.137, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=3.08e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=14.451, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=2.95e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=14.765, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=2.83e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=15.080, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=2.71e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=15.394, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=2.60e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", + "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=15.708, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", + "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=2.50e-01.\n", + "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n" + ] + } + ], "source": [ "bem_data = wot.run_bem(fb, freq)" ] @@ -181,7 +359,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -202,7 +380,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -233,9 +411,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:wecopttool.core:Linear damping for DOF \"Heave\" has negative or close to zero terms. Shifting up via linear friction of 37.387508360018536 N/(m/s).\n" + ] + } + ], "source": [ "wec = wot.WEC.from_bem(\n", " bem_data,\n", @@ -267,7 +453,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -290,7 +476,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -315,9 +501,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\jorge\\Documents\\ragetechWEC\\WecOptTool\\wecopttool\\core.py:749: UserWarning: The `squeeze` kwarg to GroupBy is being removed.Pass .groupby(..., squeeze=False) to disable squeezing, which is the new default, and to silence this warning.\n", + " for realization, wave in waves.groupby('realization'):\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optimization terminated successfully (Exit mode 0)\n", + " Current function value: -1.0145331487126692\n", + " Iterations: 18\n", + " Function evaluations: 19\n", + " Gradient evaluations: 18\n", + "Optimal average mechanical power: -101.45331487126691 W\n" + ] + } + ], "source": [ "options = {'maxiter': 200}\n", "scale_x_wec = 1e1\n", @@ -348,7 +555,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -366,9 +573,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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TOPTQQwteN2PGDPj9ftx999047LDDuI6pEI466ij4/X48+eSTeO+993DbbbeZv6uvr8fkyZPx4IMPYsOGDZg1a5aUMWrwhXaONMoev/jFL3Dcccfh2GOPxZVXXolkMolf/epXqK6uxs6dO83rjj32WMycORPXXHMNOjo6MHXqVLz99tu44YYbcMABB+Dss8929fdbW1u5Gxa3aGhowOLFi3HiiSdiypQp+MlPfoJJkyaho6MDTzzxBB555BGcfvrp+MlPfsJ1HDfddBOWLl2Kww8/HJdddhnGjx+PSCSCDRs24O9//zvuuecejBgxAieccAIWLFiAWbNm4Uc/+hF27NiBO+64o6BjeeaZZ2Lu3Lk488wzEY1G++nJpk6dih/96Ef4wQ9+gDfeeANHHXUUqqursWXLFrz22muYOHEiLrzwQgDpkuzp06fjhhtuKNrdu7a2FqNHj8Zf//pXHHPMMWhqakJzc3MO63L55ZebDsCiRYvyfk4oFMKdd96Jrq4uHHzwwVi5ciV++ctf4vjjjzfZCSfjLzTWfKlPGTjjjDPwyCOP4Fvf+hYuv/xyHHLIIQgGg/j888+xbNkynHzyyfjOd76DMWPG4Kc//Sl+8YtfoLe3F2eeeSbq6+vx/vvvY/v27bZYWq+gLSSeeeYZ+Hy+fr3Fpk2bhrvuuguA1hsNWEiVg2toMMLf/vY3sv/++5vl0bfeeqtZ+WVFb28vueaaa8jo0aNJMBgkw4YNIxdeeCHZtWtXznVOqtVYolApfzHYGevGjRvJxRdfTPbYYw8SCoVIfX09Oeqoo8jDDz9sVoA5AS3lz4dC1Vzbtm0jl112GRk7diwJBoOkqamJTJkyhVx//fU5rQb+9Kc/kfHjx5NwOEz22GMPcsstt5D777+/YEXVrFmzCIC8JfTWzzz00ENJdXU1qaysJOPGjSPf//73yRtvvGFe8+yzzxIA5J577in5/V988UVywAEHkHA4TACQ2bNn97tmzJgxZN999837fjpnb7/9Njn66KNJZWUlaWpqIhdeeGHetgt2xs8btFptzZo1Oa8XembzPZfxeJzccccdZNKkSaSiooLU1NSQffbZh5x//vnko48+yrn2z3/+Mzn44IPN6w444ICc6rJCz+Ds2bNLVoYWq1ajoC0uDjrooH6/e+aZZwgAEgqFSHd3d8HP0NVq5QuDEBcHK2loaGgMMFx99dV47LHH8NFHH3muCnz77bcxadIk/O53v8NFF13U7/dz5szBk08+ia6uLk9/R8MdNmzYgLFjx+L+++/H97//ffj9ftfnMOZDMpkEIQR77rknJkyYgOeee47ZZ2uIge6QraGhoYF0WfbPf/5zT47RJ598gpdffhk/+tGPMGzYsH5pPg21cM455yAYDOKpp55i+rlTpkxBMBh03NFeQx1ozZGGhoYJGvEWgmEYOYLngQS7wuVi+MUvfoGHHnoI++67L/7yl7+gqqqKwcg0WKO1tTVnvseNG8f08x999FHzGJiGhgamn60hBjqtpqGhYWLMmDFFo91p06Yxb5yooaGhoRo0c6ShoWHi2WefRTQaLfh72otGQ0NDYyBDM0caGhoaGhoaGhZoQbaGhoaGhoaGhgU6reYCqVQKmzdvRm1tLdPyTw0NDQ0NDQ1+IISgs7MTra2t8PkK80PaOXKBzZs3SzvzR0NDQ0NDQ8MbNm3aVPRwY+0cuQAVpW7atAl1dXWSR6OhoaGhoaFhBx0dHRg5cmTJ4hLtHLkATaXV1dVp50hDQ0NDQ6PMUEoSowXZGhoaGhoaGhoWaOdIQ0NDQ0NDQ8MC7RxpaGhoaGhoaFignSMNDQ0NDQ0NDQu0c6ShoaGhoaGhYYF2jjQ0NDQ0NDQ0LNDOkYaGhoaGhoaGBdo50tDQ0NDQ0NCwQDtHGhoaGhoaGhoWaOdIQ0NDQ0NDQ8MC7RxpaGhoaGhoaFignSMNDQ0NDQ0NDQu0c6ThCLFECqkUkT0MDQ0NDQ0NbtDOkYZtfPRlJybO+weufupt2UPphy929yKaSMoeholUiuCh1z/D4n9/jkhcnXHt6IriB4v+hefe3ix7KDnojibwu2Uf45NtXbKHYoIQgqXvf4kVH25DIpmSPRwTu7pjmPvEW1j96Q7ZQ8nBf9o6MOu+1/HKh9tkD8VEIpnCE2s2Yun7XyKpUFAXS6THtbM7JnsoOXjpgy9x6PwX8fd3tsgeinRo50hBbOuMYuqtL2PSjUvw+L82yh6OiUdWb0Q0kcKTb36O9zd3yB6Oif99ZwuO+NXL+Pkz78oeiomX/rMVP3/mXcz9n//Djc++L3s4Ju57dT2WrduGSx5di9096mzMVzzxFm7/xzr87Gl15vDFD7bivD+/gdl/+hduX7JO9nBM/G7Zx1i89gucfu/ryjje0UQSx931KlZ+sgM//6s6c7h47Re45ql3cN6f38DClz+SPRwTD6xcj2ueegdn/XE1CFHDadvRFcU5D76BLzuiuOV/P5A9HOnQzpGCWPHhNnyxuxftvXE8uOoz2cMxsfKT7eb/P7ByvcSRZNEdTeDCR/4NQoD/eeNzxBWJ8P+9cZf5/29+tlPiSHKxen2WbXhg5QZ5A7HgP20dWPr+lwCAVZ/uQG9MDYO/ZkN23lZ/qs4cvvZxdh0+pkjw9OL7W83//2xHD3piCYmjyeLfn2XXoXU+ZeOh19P7+gdbOvDqR9tLXC0GVrbo8129yqxDWdDOkYJ4b3O7+f8fb+1ELCHf4H++qwcffplNefynrVPiaLKwGnsAWLtxt5yB9MG7X2Tn8JNt3UpE+Lu6Y/i/TbvNf/9bkXv1psWAAcC/FDFi1nW4rq1TibTM9q5oztp7Y8OuIleLw4df5u4H/1qvxhy+a5nDD7Z0KsHStPfEsXl3xPz3kvfbJI4mi0+2dZv/TwjwhkJBnQxo50hBvGdJWcWTBB9tle+IfLQ17Rj5jPS/N2zvLnK1OHy6LXccKugdCCE5zlEyRfDxVvlamrc+3w2rff9shxpz2PdZWvmx/EiaEJKzDnvjSWxQ4H71dYZUGBPQfxwqOEexRArrLI7kzu4YtnZGJY4ojdfX78hxtD/b0SNxNFms77MOVXG8ZUE7R4ohlSL4ILMpN1QFAaQjHtnYvLsXAHDYuEEAgI5IQgnNCl3QdRUBAGowWpvbI9jVE0fAZ+DAUQ0A0vS5bNA5/FprHYA0da5CGnL99rRx2HNIDQA1DP4Xu3uxOzOH+w1L3y8V5vCLzByOH1oLIG1YVWBD6Do8aHQjAGDTrl6ZwwGQZrPiSYL6yqD5bL2vwBzSoGRYfQUANZ53IDuOI/dqBpDdL76q0M6RYvh8Vy86owmEAj6ctH8rACghfqYLZdzgGgytCwMANigQ8dAFfURmQW9pl7+gP8sYilGDqjBpZAMA5ESwskDncPLIBlQEfUimiBIbIJ3DwzOO95b2SLHLhYAyfXsMrsakkfUAgP8oEKRsyczXoXs0wTCArmgCOyRXPBFCTOfInEMFnqtPM2Pae2gN9s04uGqsw/TzTQPNL3b1SpdOxBIpbNqZ3s8PU2gdyoR2jhTD5oxxH95Qib1b0tHhpl3ynZAtmQU9rL4SowdVA1AjLbNhO13Q6kQ7lLofWluBkY1VAIAtHfI3GjqHIxqrMLopPYeyHdxkimBjZgzUsFr1GLJA57ClvhIjMnPYpsAc0v1hzKBqtNZXApC/Dnd0x9AZScAwgK/voY5h3ZqZr6F1FRjRmL5XbQqMi+5Rk0Y0oCrkR4qkNZ0ysWlXD1IEqAr5MWlEA4Dss/ZVhXaOFAPdlAfXhjGkNpzzmkxQOr+1oQKjm9LGQnauPBJPmgt4asaw7uqJS6+y+DKzKQ+pC2NwZg63dSg2h4PoHMo1rJt39yKWTCHk92HK6CYAadGx7J5V2zJrbkhtdg5VWIfUcWxtqMSY5vQc0gBBFugz1FpfiTHNaae7rSMiXcCencMKy14q3zmijuPwhmygKTu1Rudw9KBqtDakHcnNu3uVSNnKgnaOFAONdoZYnKNtCkWswxsqMTLjHH0hWVfw+a5eEALUhAMY21yN6pAfgPzUmskc1am1KdM5bG2oxKjMHFIqXRY2Wxy25poQwoH0liQ7ws+3DreqsA4t98ucQ8msw9YOyrKln3e/z0AyRUznRNq4qHNUF8aQ2rS+R/aYAOscVioTaG7vTKdmh9aFTS1UJJ7C7p64zGFJhXaOFENOtFOXWdBdUakefCpFTGPV2lCJQTUhAJCuddjeld38DMPAMDPikWxYLayDOYeSN+W+c9icMfg7uuTOIX2GmmvSczhcxTlUxLDGEilsyzzzrQ2VGFyjxhxuz8zhoOoQAn4fhmaeLdlpmS8tDq4q7F8knjSf+daGClO/SfcyWdjenf77g6rDqAj60VSd3uNlz6FMaOdIMVhTMs0ZJySeJFI9+O1dUcSTBD4jvdEMqk4v6J3dchc0NQrNmfHQiEf2gqYMw2DLptwdS6I7Kq8xnnUOh9aGMahaDQeX/n3qcA9rSM+hKuzfkLoKDMkYsJ09ManVfV92REAIEAr4MKg6ZBqwHdLXYcawZpw1GqRsUcbBtTC4HXIDTZpSqwr5UV8ZNO+Z7GNEdtK9lK7DzF4qew5lQjtHiiGbkgkjHPCb5fwyIx5qwBqr0pEhNWSyFzQ1CnQ8wy25cpmwsn814QCqMuk+mcwDfX6aa8JqzWFfw5oRGcsW9NI06JDaMJqqQvD7DBAil6WhgVNLXQUMwzDvmWzmaEcfw9pSr4iDawqys0FKbzyJbomaRHpPWurTc0gd3O2y57BvkJKZQxWKEGRBO0eKwRrtpP8rX7OyK9PPiDpqJusgm87vyl3QgxVJFVm1DgCUoPTpHNLNmLJ/OyTT+Vn2LzMuBZw2QoipoxlSWwGfzzANv9x1mGaPG805VIX9oymZ3HHtktgHLRJPoiOSZmqH1FagOhwwNYkytWO7utNzSNnuZgWedyCb1mvKjKuxKj0uFXrZyYJ2jhSDVQia/m9F5nV5Roym9Poa1s5oQmpVkck6ZMbTUCV/U+6OJtAVpZtyOOe/MpkjuvlSB7fJYlhlphmy7F/upixzDjsiCUQzfWeog6vCOtxlMriZIEWRlMwOM0jpuw7lSQHoWgsFfKirTDeIVUH/t7On7zpUK0ihwUlTtfw5lI2ydY5uueUWGIaBK664wnyNEIJ58+ahtbUVlZWVOProo/Hee+/lvC8ajeLSSy9Fc3Mzqqur8e1vfxuff/654NHnR99oJ/1f+axD1rCmF0xdZQCBzDkiNBKSgb50flN1esORqc+iY6oI+lATTm/KgxVg/+g9oc4H3QSjiZTUNANl/+hmTA3/LokGnxrP2nAAFcE026DCOqQOI53DJgtDk5CoheqbkqFzKJN1oML1wRmhP/1/QO4c7u7OnUOzuEUy2033+GaFAk3ZKEvnaM2aNbj33nux//7757x+2223YcGCBfjtb3+LNWvWoKWlBcceeyw6O7NdUa+44go8/fTTePzxx/Haa6+hq6sLJ554IpJJBQ4GzTyIAZ9hRju0qkhmNcPuntyINTdXLlMLlcs6qLCgd/dmHMnKkLkpNyugDcmmRtP3qCoUQGXG8O+UOK6s5ig9LhVYh/bMHNL0FZAdn8xni94Tyjo0VgVhGOlDQmXeLzqHzX3ZP4mBU3ufewUAzbXUEZHp4OamRpsVYOEJIf30m1kHVzNHZYOuri6cddZZuO+++9DY2Gi+TgjBXXfdheuvvx6nnnoqJkyYgAcffBA9PT149NFHAQDt7e24//77ceedd+Kb3/wmDjjgADz88MN455138OKLL8r6SiZ2WxY0Naz1lemHtL1X3kO6qw/rAGSjVpmUvkkFm6wD3ZTljYnOk3VTVmEOs8xRdlwqVDtZS/kBNbQOdJ7ovFn/X+o6zNyrpsw9Cvh9aMiMS9Y6TCRT5v5A1yF99mU6ksXXobyq0b6BppWFlzWHHZEE4sl0ar2pum+QopmjssHFF1+ME044Ad/85jdzXl+/fj3a2towY8YM87VwOIxp06Zh5cqVAIA333wT8Xg855rW1lZMmDDBvEYmqAGrU21T7sM6ABY2RKJh3d7VV69CN2WZrIOac0g33qZq6xzKpfQTyWyTuUF902oS55COKZ9zJNNpM9dhDqMlV7NCNTQ+I7s/UAdXbjCQZXAp6lRYh31So1YWXtY6pM9OjSWNrJkjICB7AE7w+OOP49///jfWrFnT73dtbW0AgKFDh+a8PnToUHz22WfmNaFQKIdxotfQ9+dDNBpFNJrdfDo6+BwEa0Y7ihnWoqyDpAUdS6RMfVZzn5RMbzyJSDxpLnSRMNk/xeYwn4Mrm/2jhsKwGtbMmDoicSRTBP5MVC0SJnNUVuyfpDm06BHpXKkgqqfskGpBSt/UKJCew62dUWlzaGrZqrNjalSg4lA2yoY52rRpEy6//HI8/PDDqKioKHgdTUdREEL6vdYXpa655ZZbUF9fb/6MHDnS2eBtgmodrAaMLugOBViHfIZVVmSx22JY6yoyFHVFwNygZY1L1ZRMPsNKN8CdkjbAdgtDQ+eNOpWEyLtfeZkjBdiQvoJsIJtik2XEOjJOiPVeNWSMbCSeQiQuR0djav+Uc3D7M7jZ9hVy2L+8c1iVvVeyz8iThbJxjt58801s3boVU6ZMQSAQQCAQwIoVK/Cb3/wGgUDAZIz6MkBbt241f9fS0oJYLIZdu3YVvCYfrrvuOrS3t5s/mzZtYvzt0si3KVsfUlnIt6BrK9KkY2dEzrg6Mn+3riIIX8awGoZhSctIMvhFtA6qObjUqVRhDikCfp/5bEmfw7wOrjy9Sj7niBZudEbkjIs+03UV2SREbdhSzSp5DnP20kyKTeY63FV0HUqawzzrkN4rQuTeL5koG+fomGOOwTvvvIO33nrL/DnooINw1lln4a233sIee+yBlpYWLF261HxPLBbDihUrcPjhhwMApkyZgmAwmHPNli1b8O6775rX5EM4HEZdXV3ODw+oyjrsysM60IXUIWlB57tXgHwhYXte1kH+HOZzcOtMp02WYaWpj9zsvmxhfUeRdSjLUBCSPULImv4w16GkcZmG1XKvDMPIrkNJFWvtCqa3E8msFCDvXiprDnv7O0ehQLYVyVc1tVY2mqPa2lpMmDAh57Xq6moMGjTIfP2KK67A/Pnzsddee2GvvfbC/PnzUVVVhVmzZgEA6uvrcc455+DKK6/EoEGD0NTUhKuuugoTJ07sJ/CWgd1FWIeeWBKxRAqhgFh/Npki5gbYkDdilbWgCxlWuUJCSufX50mN7u6N20rzskY0kT0yIXdTVoP96+vgNlYFsXGnPFF2sXUoS5DdGU0gkUlv5DJHcoMU07DmmcPtXVFp90vFQJM+V4aROy7p7F+kf1oNSD//XdHEV7YRZNk4R3Zw9dVXo7e3FxdddBF27dqFQw89FEuWLEFtba15za9//WsEAgGcdtpp6O3txTHHHIMHHngAfr948W5f5It2ai3efHtv3GwoKApdkQRoA2WrI1JbIZl1yEMFA1kHTpbIuNimnEwRdMeSZkQmekxWfRYgn/3LF7ECCrB/eVMy6f/vjiURT6YQ9IsNUujeEA74cgoNaAqyQ5KDawqfK/o6R3L7VVFHRCVRPQ3YasMBBCzPT3YdSmaO8jC4n+/qNbWwXzWUtXO0fPnynH8bhoF58+Zh3rx5Bd9TUVGBhQsXYuHChXwH5wL5qmT8PgN1FQF0RBJSnCO6YEMBH8KB7KYse0EXSquZ6Q9J48pXrVYZ9CPoNxBPErT3xoU7RzQirQkFTH0WkN0MZdH57QWcI8pCyIqkKdtRn6cMHEjfL1pCLwr5WkQACqRkIvkNq2xmuViQ0htPIppI5uxnIpAvBQlYHFzFAs2srlSezk4mykZz9FWAtbuyFTI1K3RhWAWXgHzDWoh1kL2g8+lVDMMwDW27hEia3ovavnMoXQiaPzUqW+zfnqd6x+8zUJtxamWuw35zKNmRzPe8AzADABnjIoRYOmTnFpHQjLaMOSy0Z9VJDug68rQ9AOTvpbKhnSOFYFarVRVgQ6RsyhkquJ8TooZh7XuvqAHrkiwUb+g3hzINa6GIVfamnN+w0k1ZxhwSQsxx9Z1DmU0EC63DOslptcKsQ2Z/iIqfw0g8hVjmrDkrg+uzOLhy9tLiQYq09HYB9q8mLHePlw3tHCmEUqkipZgjGlVEE1L6YNDIsO+4aiWWp8eT2UNcVZpDGhn2Zx0ks3+FnDaJrENvPGkaVpXmsNA6lK79K8A61Ehk/+j8BHwGqkK5qbMGif2qss5RAYZGWRb+qynI1s6RIkimiLl4GlTalKPFmSNAToRfqNLJZB0kRKzdlr/ZV1ekIvtHN8PuWFLKqe6FNEd0nDLmkD7LPgP9DKtc56hQSkZ2CrJQkCKP/evK7Fk1FYF+laFKzGE/fZYabVEKpdVkrEMVUNaC7IEEv8/Ah788Hu298ZxSXQCoDcszFoWo4FDAh8qgH73xJDoi8X7pLd4otKBrzDSDvHtVEfTlVKMActMMhViHGsu/u6KJHH2GCOTrzAtkHUsZqSI6PzXh/oa1RqKx6CihOYomUlKOzCkYpEhk/8wChDyFD/S1rqj4zt2FUpDSNUfm/qA1R1Zo5kghhAI+DK4N51QUAVaKWh3nyPqajEVdSusgJ2Klm3J/R7E6syl3S3GO8jNHQb/PZEdkpGUKaR1kRqxdBVIfQNbgy5zDfsFAKCsylrE/FOpzJJX9ixZxjiQyWoX2UvrvWEL8cStWjV3/IEVrjjQUR7UZ7chzQvIZC5kdlgtqHWjEKuFedZubcv/oXabBL8Q6AHJbMhTSOsgMBpQ3rH3G5fMZlsowsXOYShGTaes3h5LGBFgd3MLMkRwHt8C9kujg9saTZnNR1apGZUM7R2WAbMQqngouxhzJrJTJitcLCMVlGDBqWPPcq+qQPOeokBA0/ZqcOSSEWEr582uhpBjWzPxU53FwqyWmZIqvQzmala5YtkFs33GZDq6M572YgxuWNy4aDPS9VzlVdIKfeRpk+n0GKvukZGWmkVWAdo7KANUK5O/zG1Y5ImNCSMFUkTW6J0RsFV1XMa2DRNahUPoq/ZqcOeyNJ80qx36GVWI7BnMO8zzvNYoyuNkmgmLHRe9VyO/rp3WSqVfpNh3cPEGKAsxRcRZe8BxS8XoejZ3MQFMFaOeoDEANq1y9SmGDL3pcvfEkUgUiVrrxJFIEkbjYCqximiOaapPDHBU2rLIEqtaqsL4RK53T7lhSeJsIOj9901eA9V7JS432ZdkAeSnbYiybWUQi0cEtppNULUiR1TSTrvv8LJs83ZgK0M5RGUCuYc1f6QSkc+UAzN4+okDvQz7DWhX0Z/P3giP8YpojmRtNsZSMLA1GlyW6L1QVZr1O9LhUq3QqFqTIYkO6iqSR6Th74+mz6KSMKx9zFJK/lxYLUnpiYsfVXeReWTVHoll4FaCdozIANaxSq2TyLOgqSU4bjfryGdZcgarYcZklxHkNWOZeSUyN5nNwqyQZi2IMTTjgRyiQ3ppE6466bKRkumS0GCji4Mpyjsz0Vagwq2y9ThQ6izG4EqvoOmw4uKId705zL80T0GXGGU8SRBPi+6DJhnaOygD0wZXZI6dotKNQdA/IO0KkWFotmypSy8GtlhSxFnNCAMscSnK8i7EhcgojisxhxsEVzuAWcdiCfh8qgtTBleS05WVw5QQDqRQx/2b+dZiZQ0kObl6NncXp/SrqjrRzVAaolcgcFTMWsqKdks6RpHPfiqXVqiU5bGnxeuE5zKbV5BjWfGMC5Al6izFa1ZIctngyZernVGKOSjm4svrkFC/ll7OXdhep7AOy7Jvo4KmryJ5lZeG/iroj7RyVAWhU0SNYoEoIQVesSGlzSE60U8qwyjrXyU4JsehNJppImX1M8o1LVmqUGoFCDq6sOSxm8GXNYbFjaayvqeYc1Ulfh4UZGllOd9BvIBzob3alO7h5UqPAV7vXkXaOygA5+XuBkUVPLGlGO3nFjWHZ0U6hiFWSUNxGGXg0kRIqULUa8rzaEFlptSJtDwBLJK0Qo2V1jkQKVKkhDwf6H0sDAFVmDy2x96q7CMsGWFO26syhrPS2tb1AX51k+nUaaMqZw0KBZlVIzrhUgHaOygDhgB9Bf3pBiUzL0IWTryoMkC8ELWhYTaZNHafNGl2LvF9Z0ay/37E06ddlpUbTf68Q60Bf75VUCZm3lD9jQJKC20RQQ54vHQNkUyKyhM+F5tA0rKIdkSKspDW9LcPBLcTQyGaOCu+lcoInFaCdozKBDEq/WLk1IC+6L5a+ArKRtLQoLM+4gn6fSaeLpPRLpT5kCUGtzefyQZZhLVaeXmUJEESuw2JNDa2vy2JDShpWWexfkRRkIiW2AovuRYUdXDVZ+CoJYn9CCNa1deLzXT1ICe5zZoV2jsoEMsSg3UUahKXHJL+UPx+oFkp0tFNM+AzIofRLpq+ksX8lnq2QpJRMEQ2GLIGqsqxDiWdLloNr5xgfQHSgmQ4GCrNsclOjhfdS8RXJvfEkZt71Co741TL0Cj6I1wrtHJUJZByp0FliQctuXFYoCquSVYFlM5IWmhqNFXfYZLEOpRzJKlmMVpFKJ0CO+Nl0JAvNoSx9ls1xiXRwo4kkYhlGKN869PkMKYUkxTpRp1+XxeDaDJ4EziEdk2FkHWwZ0M5RmUBGxNpdQhciywkplVaTwRwRQkqmGWQcemlqewqxDpJTkCUjVoGbciKZMiPVUmypyNSoXY2d+JRMCTZEgsG3PselDL5acyhLc2Tvee+VwXaH8ss5REE7R2UCGZUfxfr2ANkmYbFkyozWRKBUWq1KwrEmOSXzJSJpkSLjkilIWalRm5VOsgxrSaF4XCSDW6qfkOzUaP79QYaDS+9BZdAPf54CBEDOXlrsHDrAumeJZkrtpftE7qWlgnJR0M5RmaBKAhtSqgdGlWWhixxXqeods1pNgi7EMHKFu1ZUSqDzS6UgqWGNCW4xUMrgW3t7iQLt6RUK+MzjS/qCVm2KZNpKsQ6yGNzsuPq3rgDkMEel0rVAdg5l7KWF7pWsZqyltX/i99JiRREioZ2jMkFlSLyxKNUDI+jPGhGh4sYSAlUZUZh5r0KBvCXz6XFlKGqBIkO7ESsgtqqopMGXMIem3qhIxGrOoQTWQTUGt7PEsyWDOSrFSALWVJF4BrcgyyarGWupPkcSNUeaOdKwBZkUdSEDZv2dyIinVGQhhXWwsaBltBgoNa5QwIdQprFgl0pVdGbEKvJeZdoLFIlYs8ZCnXYM0hhc0xEpwBxJqFazM4eVUlJF9jR2IhncUicgpMclnmUrJecQBe0clQmqJNCbpVIf6d+Jj3hK9+YQr8GwQ+dnWQcZBqz0HIp8toodDgrIckKKpxiAbMpUpSBFBoObTBHzHhQ0rFK0PfbnUKjIuGRAJ57BLXUCAiA3oCs2hyKgnaMygZlWE5iSscMcZRktlVgHeXR+0U1ZcUZLlGG1RqyFxesS7lUJ8br1d3JSMuowuFantdTREzL2hqLPu1ndp87+IIPBLXUCAiDntAGdVtNwBBnNuMyqgSK9JkSfvZNKEXNTU6lHjh1HsiqoZv5edBrSWcQqPiVTjGWrlJIqsuPgih0XdULSB6mWYI4kpEbt6MZUYv8AS/Ak6Jm3ZgYKlczLYI7ssN0ioJ2jMoEMQbYT1iEiiNHKiVhtMEeizk8q1XsJkJtWKzauSsEtBrocRazinndbqVEzJSPQWJRg2YDsfYwIGlcpDQ0gSXNkYw6zLTXUkiiYz5aovdROZkAzRxqqw6ywUCytViF4QdOFE/AZ5lllfUEjsESKICZI3GhnU5aTViutwagMpu+j6Dm0FbHGxB0QWqqsGchqoWSk+2w53oLm0E4wkGW7BTq4toIB8Wk1W3up4EpIe8+VBLbbRmpUBLRzVCaopCkZxfpNVApe0NbS00KGtVpCebot2lwK+1e8yRuQZR1Eb8p2ROKEAJG4IAe3xGG4gKx+Y8W7nAPigxQnaSKxDq59Rkso+2crSBGrK7WVcpch5yjRx04UtHNUJpBjWNWjgksdwgkAfp+BigwbIkyDYSdiDYoXr9tiQ2iaQbBhLfZcVQT8oL6vSnMoU69SzFiIDlLssA50jaZIuoO8kHHZuFdVgotIUiniSDcmLDUas+/g9sSTSKUESRRs7PEioJ2jMoGqaTXhm7KNzQ8QX7FmR68is/9SsXGJZh2KnZpO4fMZ2bJ5QeyfvXYMYtMM1vPebLEhCrEOVj2ZKMa700EKUlgBgmVOlJIoOHBwCQEiCfHZAZnQzlGZIJtWU+uMGxXpfEB8xZqzlIyYexVLZDsm1xSJwipDGc2R6NRoyTkU22LAWUpG0Jgsc1KonxBgWYcS0tuF4PMZwqtZVWT/qBNiZbTzoVK4ftPO/u4zGVxx67A02y0C2jkqE4g+HTmWSJli5qKGVXBTvE6bYr2qoFjmyEn6StyYss9KMcMqOq1mt8mbLDZEpTJwOochv69gyTwgw7Bm5rBE6kP0HNpx2kSvw+wZlf6ip8yL1kLZ6URtGFkGNxITmxrVgmwNW7A2gRQhbrRvWDMLR/SmXIJyrRA8Liel/KK0DvReVQR9CPgLL3XRrIPdzc8sTxesZ1PSsJY4SkG4qN7myekqpopEr8OsZiz/MSsUsiQKpfZSOi5RaTXdIVvDEaqsuV8B1Tv0AQ0HShhWSdFOqQZhwsvTIzaqwixRtAgH1+4mI5x1sGHAAAmpolhpp02Wg1uSKRXOspU+wwwQ77TZ6iekqIMrqy1KqWeLMpYi5pAQYjvtzhvaOSoTWMWNIjZmu8Jn0YbVzuYHiN+UaVqt2P2qFuzg2tHQABZHUjHNkSynzU5aLRJPISmgese2Iyk8SKFp5BKMlkAG12pYi1erie1E7ZQpFa2FKhloCnS8o4kUEpl1pQXZGrZgFfOJWDz2Dat6JcSA2E0ZsFvKb6neEejgltb2iNUc2alWA8RuyoC9NEOVRWMjYlyqOpLZqrDiqSKRbEhvPIlUiWNpAItzJIrBtblniZYo2GFKAbHPFn2uDCPbJkYWtHNURhBJB2dFhGrR+XYiQ0Dsppw+7630RuOzOLginEm7Eaus1KhKmqNoIol4kpQcl7V6RySDazutJnwO1dFCUSek2LE0QLYKkgjqv2SnnxCgblpN5NE03Ra74/MVFq+LgHaOyggi9Q52yylVX9C9Aios0hFo+v9V6r+kKutgpyoMEKs5ooYVKB4QWKt3RPRfsl2AIGsOS45LnPbPzrE0gPj+S7b3LEktBkquQ4EBsCpibEA7R2UFkWXEtiNDwRGrnSZvgFiDb+1jUui8N3NcAh1cuxVFqlY6mf2XRBrWkB/+EhFrpcA0pOnglmBwRTu43TaZZZHsn12n27pOhbDwqqbVnGoSBabVZOuNAO0clRVkbDSqVcnYpahFao6s0U6xiBXIRvhCKg4d6rPEV/aVqN4JiI9Y7fRWoWyImGfLriOpXlUYIHgdOjiwlI4rKqA83TGDq2hLDZFSAM0caThCWKRhVXVBR+zS+WouaJEObtaRtKkLEZySqbPZ90WE1qHLQcQqlJW0WTIvS/tXag5FpvvspiCBrOMtYi+1W4Ag8l4RQizrUB0HV5UyfkA7R2UFkZuy3YfUuqBFVH7YpV1VvFeAnMoP29G9YhWHIo2FXUYSEG0s7JXMiwwGkilipqPs9zlSJ6ADxLKlKlb+Wiv7VGrkaaeZriho56iMIEvcWAx0kwEER2EKpYqc5MnDAlMyts8wE1janEwR87wwu4ZVyHNl02EDxLIOjlMfAvcGwEG1mmJiXqo5EuGI2HVwRbbU6LKWzIdszqEIB1drjjTcgD6kUYUMq7Xyg/eijiaS5kGqtSX7q4h3QmxpHRRktGhkmEwRs5yd25gsQnSVHFxHmiOB+h7HujGBaeRQoPh5b9Zxidb+lYLIcWUDulJpZIHCZwc6SSlpZM0c2cctt9yCgw8+GLW1tRgyZAhOOeUUrFu3LucaQgjmzZuH1tZWVFZW4uijj8Z7772Xc000GsWll16K5uZmVFdX49vf/jY+//xzkV/FNcRugPaEoH6fgVBAzKK2nuytVH8Vm1UygNg5dNpNHOA/h9TYB/02KvtE6rOczKFABtduuo8etJxIEcSTfCN8uyXggJx2DKoGKXaPDxFZQedkzxKbRtbOkW2sWLECF198MV5//XUsXboUiUQCM2bMQHd3t3nNbbfdhgULFuC3v/0t1qxZg5aWFhx77LHo7Ow0r7niiivw9NNP4/HHH8drr72Grq4unHjiiUgmxegtvCAstHrHXkURIM4RoQu6Mugvet4bIEcIaude0ZSMkOZzNoWgQb9hlq9zn0MXlX1CGRo7Yl6RVaM2DX5FKLseuDu40dLnCFLIcEJKFWsA2TmMKlQ1StNqsQT/o2mciNfDAtehSqX88kdgEy+88ELOvxctWoQhQ4bgzTffxFFHHQVCCO666y5cf/31OPXUUwEADz74IIYOHYpHH30U559/Ptrb23H//ffjoYcewje/+U0AwMMPP4yRI0fixRdfxMyZM4V/LyfIevDitA6lqlGA9AbY3hvnvng6bVbu0DEBorUONu6VSOYoYq8ahTY27IwmuN8vJ5ufUN2Yi9SoyJRMKYMf8vvgM4AUSQvr7axb12NyoM+SMYeqFUZkG2aWSKtZGNxIPGnrWfQ6JvXulX3HmzfKhjnqi/b2dgBAU1MTAGD9+vVoa2vDjBkzzGvC4TCmTZuGlStXAgDefPNNxOPxnGtaW1sxYcIE8xqVIaOxoR0jJqqM2A0VLDYyLM0chSWI6u04baJ0NI4cSQX1WYDg6p1MT6hSzo5hGMKOF3LCOgjtzeYgrSZqDpMpYnGOio/LmmYWtZfW2Ax+RYwJsBzgrYBzJH8ELkAIwdy5c3HEEUdgwoQJAIC2tjYAwNChQ3OuHTp0KD777DPzmlAohMbGxn7X0PfnQzQaRTQaNf/d0dHB5Hs4hdjmc84pav50vpq9aOymrwBxxoIQYhpWO3Mo6n45cnAFnunkJJIW1cgznkyZf8PuuLoEsH+qao6oPsveniVmL3VSgODzGagM+tEbTwoLUuwFmuLsji7l94hLLrkEb7/9Nh577LF+v+urYyCElNQ2lLrmlltuQX19vfkzcuRIdwP3CJFRWIcb6lygXqUURG7KblIy/Cv7UmblmSNnkvscOkiNCj0+xL4QVNQcWs/9Uul+OWq2KJIppcxRiSNNAHFzSFOQIb/P3JOKjksUC+8qGBAxh/b3B94oO+fo0ksvxd/+9jcsW7YMI0aMMF9vaWkBgH4M0NatW002qaWlBbFYDLt27Sp4TT5cd911aG9vN382bdrE6us4giiGxknJPGBNq/E9L6zTZndsIHeT4d27x01KhvdGk9OLxo6xELQpO+onJDSNbH9TNlkH3hq7zL2qCPoQLFGAAIh0cNUsmXfELAtqfOq0b4+oOXSk/VO0VxVvlI1zRAjBJZdcgsWLF+Pll1/G2LFjc34/duxYtLS0YOnSpeZrsVgMK1aswOGHHw4AmDJlCoLBYM41W7Zswbvvvmtekw/hcBh1dXU5PzIgyrBaS+adVO/wbhLmRq8C8K8Mc3d8CN8xWZ2QUgepWselEutgvVcpUdU7Tgw+53O5snNoT1xtHoirkMFX9VwuUalRJ6ltIOt489eNOag4DInZ3wG1Svnlj8AmLr74Yjz66KP461//itraWpMhqq+vR2VlJQzDwBVXXIH58+djr732wl577YX58+ejqqoKs2bNMq8955xzcOWVV2LQoEFoamrCVVddhYkTJ5rVayoja8DELOgqGyeU545LkNbBgcMGpDdmO5S213HZ2pRFpSAdjAkQH0k7EdUDaQe3skQnXy9wsimLStlmxdh2WQexaTUnujHK4JaSOHgal4KspFMNDRXVc2eW3Wj/OI8pZRGvq5BWkz8Cm7j77rsBAEcffXTO64sWLcKcOXMAAFdffTV6e3tx0UUXYdeuXTj00EOxZMkS1NbWmtf/+te/RiAQwGmnnYbe3l4cc8wxeOCBB+D389t4WUGUAXOS+gCs0SHftJqTyJA2p4wlUuiNJ9FY8h0MxmXrwMtMSoY76+AsYqXPVo9Cc1hh6b7cG09ydY7o/VKp0smpoRCmo3Eyh5k5SxEglkyV7KjtFikHx9IA4rRQTqQAgNoMLm8H14l4XQTkj8Am7OhGDMPAvHnzMG/evILXVFRUYOHChVi4cCHD0YmBqXXgbFidVKoB4vQqHQ7FepVBv+kc8YSrAy+594Rya1g5s5IOxuXzpbtoRznPofWEcieVfaJSo3bXYZXwtJqz9HYkzs85cmpYRbEhXQ5To+Jbath3cOnxQqEAH+eIjingK909XwTkj0DDNsTR+fY3P0BcTtpxqkjA/co5oVzBTblU4zkK0alRu3Mo4pmPxFPmCeUqzaHTlIxwRsvGuIJ+HwKZ1DzP++XUsApbh1FnqdEqeoSIgswRwPfZsrZE4Zl+tQvtHJURxFGumZSMUydElNbBIaPFcwO0RqxOUjLChKBONUeqzaEAI0Y7r9s5oRwQ1yPHsYNLS/lF6cYUqsCyHv5sx7CKW4cOGVwFtX+iHNxOB60YREA7R2UEUecBud/81NGrAGIiabop2zlIVdSYAOf3is4hd82R4wosEXOYYf5Czgwrf72KsxPKRQcpdo94qBAwh051kuLm0NleqryejaPT5jRw4g3tHJUR6AMaS6aQ4HjytpMGkIDAxmWO02r8I2nrkQX2DKuiQlBRqVGHm7KItJqTYycA8U1P7c+hGM2Rik6beeyE4+ddsXYMZpCiVtFNWMAcOt3feUM7R2UEa7VOhGPvHvdVMuqIeQExTptTXYjp4Cb49u5xK8jmrqNxbFj5O5NODjQGLCkZzv2zVKx0IiRbFeY4NcqVdXB2YCkNUqLci1ucVY1WCUhvxxIps/ebnSa/gJju6yqV8QPaOSorWNM2XMWNjrUOovPkNis/AgI0R06doxwHV6E5FJBWc1oVBgjSjWVYB9vMkcXBTfJ0cB2zDvwNWCSe/c62U1gKptVEd6JWidGyHktTbeOwbECUg+uMweUN7RyVEQzDyKZlROR+HRr8Ho7HhySS2XJu2xG+gI3GcfWVtXcPx3G5FWTzNGC98aSjqjBAlNbBXQECwLsCyynrwD+t5lS8DmR7ewmpdHKR6uN5vJCKOkk6poqgDwEbx9IAYlhJJyJxEdDOUZlBSPWOi35CAO9oJ/vZTqMdnuk+p9GOL9OcEhCTGnWekuE4pszm58iwKqh1EMXgOq10Eh0M2C23FsGGOHVCqIYmRWAe0MwDnQ4ZXLoueGqOnBzDRCHSadOaIw1XEFGC6lbrwHVMmYg1FPDZbiQnJNpxkScX4UyqWEJs1WfZNqxC5tBZWs1n6aUj4tmyf3yIuOfdSXQvIqBzOoeieve4TfeJ6AnlpCpMpIOr02oariDU4CuUknG1KQvRq2TulYPeHCL65DjelAWkRt3Q5tk55MmyOUtfAWKeLbeVTkKYIzfBgIAUpN1xBf0G6LGRIlh4lUr53VSFqeq08YR2jsoMIkoq3TJHPMW8TnsvAWLKwJ1WhQGiNxqnhpWfE9Kt6L3KCrLtH22RFfvzT0OqdIyP0+pMwJruE3CvbI7LMAzuz1ZOVZjDajWeaTU3cygiO6BL+TU8oVIA6+DYsFqie17l6V6cENWiMN7RoauqMCGdqD3cKxEpSAcaDN6OSCSeRCzTy0ylg2ednKtGoWJqFOA/h12WqjCnDK6IamQne6mIikOdVtPwBKGLx0X+PspJZOw0TQSIKW12IyLkrRvrjSfNcms3rAOv6h1XhlXIpkx7Lzlgjjg7bVbDavc4BRG6MVU1R06LSACY2kVe65A+75VBv/OqMIWqMwExDm57r/P0Nk9o56jMQOl8XovHS8QK8EutOT12AhBjLOiCrq9UJ5KmjqTfZ+TMTdExWU7ejnHqvu7FsIrYlOsczCFv3Zg1QPH77InXzZQMTwfXTUpGgJjX1TrkPK5OF1o2oZojRYtInMwhT2jnqMxQwZk5yqGCbUasIsrT3YhmRWw0ngwrr03ZRbm1tf9ShJM2xJVhFdB8rr3X+aYsysF1xEgGsg4ur/J0N6kPEeuww0OQwmsvdVoxCoiqCsv0i1OsuMWNg8sT2jkqM/DuR2ONWH02I1Yg2+hNRCRtFyJZBzcRK68O2W6cEGv1Dq8jFdwYCxFaBzeGtYK3YXURDISD2e2c1xx6YR1UM6yi2D+72k0gu4/Gkvz0m06PWgHAvXVFIpky9y3tHGm4Au8F7SZiBbJVdPyMhZpRmBfDyo3Od1g+DNDu65w1GFFn56oBYrore0mN8rpXbhzJ3OaUCqVGOZ/LFU+mzPPeXK1D3g6uC5YN4KffVLHPET3sHHDGwvOEdo7KDNypYBcRK2A9yJHPgu7odbGgOd8rQog5rvoqdTZlN20PgKxx5cVo0Xulkl7FbcQqbg7tj8kwss0p+QVPzoXPvNchDVAA+w0zAf7Mspt1KKL7urviFr73igYo1SE/gjbF67yhxig0bEPUgnZ6MjLvQ17d0eZ8o/tIPGWKl5VkHRyyf7xTRd4YGrUiVt5nHDo9G4+CziGvIMXNHPLuzUbHVBMO2K4KA/jvDx0u1mHA70Mgk9/mPYd1LtoxqLQ38IZ2jsoMvNNXbs+3oXqHKK+Nxks1CucF7fcZqLZ5Vhgggv1zzjoA/A1rR8SNeF3NiNWcQ866MbcMrkpGjHelk1vDynsdOu0XR8E7SDH3Uidst6C9VJWUGqCdo7IDb0E2ZR2cRBWAmsyRKCq4rsJ+VRggQjfmPPUBgHtKRsVya9eGlXObCDcNM4Fs7x5egmwV9VluDaso9s8xCx/km94eSA4uT2jnqMzA21i4ZY5UpPPpgo4lUmZTRNljAhTWHPFOMwwow6qeIBuwOt4KrUNBrEN9pcN7xbstihlounNwecwhIcRM96m4DrVzpOEaWeEzLw2Gx2hHIdbBWvnBY2P2yjrwq/xwrikAspVhPJ4tQkj2fjmg800HN5lCgkNzSjcOG8DfwaXjcp8aZT+uaCJpGkcnziTvsxfdziFvZrnDdZBCJQrsx9UVTZiBokoFCG7nkCe0c1Rm4E1vun1IwxzTarFEylyUjoSgnCs/XLMO9F7xFlwqxIb0xpNmY0JnYl5r7x724/KqV+HNhjS4fbY4zCEdk2E4E4qHLZWsPDp3e2Vw+bMhIUfv47k/0DGFAr6c4LHkmBQMfnlDO0dlBlECVcfOEcdSfjomwFkkndO5W0HmiJdeZXePO8PKU3PkVrye07lbJQeXs7FwHaRwHBcdU11F0FmD2MyeRQi4HE2jqiB7d08MgFpz6N2R5HM0TXuPdo40PIJ3JYNpWB2kPgC+UZj1QEK750yZ4wrw02Cozjp42QB5jsmJeN3nMxDy8zuaxmtKhts67HW3DrOCbHWe91wHl8ccuuuszH8duhsXz+IWr3OYIuByNI2blDtvaOeozKCqQJVnA0EvlCtPDYaK0T1gSck4dnA5sn8eIkMlI2lhImN1GC23Ywr6DVB/mIeOxivbzeNepTV2aeZIpXXodc8C1NvjeUE7R2UGUZUfjrUOHCNpL2I9EYyWehGrN+aIpwFz08dEFKPlaEwctT2plDvxOsC30sntvTIMQ4gWyumzxXMdutXYAWLWoXNNqc/i4KozhzyhnaMyA/d+Qi4j/AoF6XzAEoUp5LTxNPaxRAo9GS1Tg0MhaJb9U3MOVTL4PCsOO6MJUFmHUsxRDzVgzqqvAL69e1w7RxznkMoTgn4DVQ40doBV+6fO8877aBrNHGl4RoXlEEfWwrhEMmU2n1NpU6al6Z6YI4WoYJ6p0ZyKIsftGNSLWAGr463OuHhqjqjTXRH0mUyQXfDsN+amPw6Fkuwfx3vlVmOXOy517hXAWaLgYY/nBe0clRmslR+sF7X1nCk3tCvAiXL1oldRMArjmRo1xevhgKOKIoBvCjLLsrlhHajTpg6db3ZX5jCH2WpDZ8wfIEZz5CU1qpKOhmdblN0e9iwRUgA3c8hrL02miNn0VDtHGq5BFzTA3li4PcARUD/aUclYUCYkmSKIMTYWWRGoc8OqrqhePTqfZ2mzl3vF8/gQb+PiM4fJFPHMdqvUIBbgXYCgHvtHj1kBtHOk4QEBnwFKCLA2Ym77cgAqRzvqCVRzGxuynUNvm7J6qQ/AMoeM75WXiNVa2pxgfDTN7oyD66asOauxU+d5B/jtD5Q1Atw3ruVZyeouSFFPCgDwK0KgY6pyePgzb6gzEg1bMAyDmwevYmQIqMk6ROJJM0Xgtu1B+nP4bDROy4cB6/EhqhlWPnS+l4g1p7RZoXWoosYO4LcOvRjWsOW5Ys3+mQ6upyISVdchnzl0etwRb2jnqAzBK38/MDdlPuOikaHToxTS7+FX+bG7xz3LpqJoFuDHaNExVQb9Zid122MS4eAqFN0D3lpq8DpeiMXeACi2l3I8PsTTHCpod3hCO0dliApOhtUL6xBWPtrhs6CdHqWQHZd6G40I8borp40zne/mXvF0cAdaw0zAWsqvzhxaO3ezXodeBNnqzqF6Di5PaOeoDBHmlL/3sinzZI48NYHkpCvwuqB5UdRuz1VLj4lnabMXISjfYMD9HKro4Krab4xPmwgvTnfQn9Vv8hqXN20P2zGlu3Z76FXFqWBDxQaQgHaOyhLcUjIezrdRlnXgVAbu1bDyEoOy6CbO2lAQQtiMSyEnBBDg4HoQZLMeUzyZbS6qksH3zv7xZSXdzSGf5707lkQy5a5rt3VcKjG4PKGdozKEisaCl2GNJ1Po9rIpczIWXpuW8RJduj2w1Dom9uL1lHkau0pz6DVi5eXgsqnO5DMmAKh1IZzlld5mtQ55sSEqdfWnYwr6jZyWMHbBLY2snSMNVlAxzZBNq/Er1a1z2PEZ4Jgn95CCBPilIdmUzPNxuv0+AzUOxeuA+qlRfg6ulyaQfOawNhyA35PGTrU55MMse2H/uLFZlj3LaddugF8A7IVV5gntHJUheBt8N515aVQRS6SQYtj3xUtjSuu42BuLtIbGLevAX2Ts3rAy3/wiVLwe8LQpq0bn866EVDEF6Zpl49znSLU5ZCNeV4eRBESI6p0HTjyhnaMyBK8DQlmVxdIUiuwxAZZNWaHND+BXkcLk2AKFniuA373ybFgVrKLjLXxWTZ/lXfvHflypFLGk+9wEKWrqJLlXq7lg2XhCO0dlCF4b4G7z6An3DQQBtovHe7SjnhAU4FNVlCN89iCqT6YI4iwdXK8pSO5iXncRKw+nLZ5MoStzHIabikNeR8B4dSR5p2w9B08MHZHOSAK0p6RKzJF3fZaaThsvaOeoDFHBqVzXy0Ma8PsQyGgRWG40Xg1YBbe0mvuSWIBPJN0bT5qsnZdSftbj8p6S4TuHbiNWHg5ujsbOwxzGk8SsTGI5roHGHGW7wrN/3qtCzpuLAvxE9d4dXPXE6zyhnaMyBI+NJhJPmsbHffUO+3Ex0xQottHw0NHQTSbgM1AVcl+NArA1+Opqe7ydBM5jHVIxdm2FW+Ezn3P7vDshfNk/78wyu+fdy9EhgKWhboLtsSaqptW8rkNe0M5RGYLHcQrU2PtcHIdBwUMMOhAb9QF8HElrhYwb4TOvrs/sNmW15pCng+s1fQVwGpdLlo1bSqbHY2pU4eedELX0mzyed6s+SzeB1PAMHgeEWiMwN8dhAHwiC3bl1mpRwTwdSS+bDI/qPhVTH4CaDq7XMfl9BoJ+mt5WZ1w8dDSpFEFn1GPVKIc9y0tRBJB7rIlK65DH894Z9abP4omvrHP0+9//HmPHjkVFRQWmTJmCV199VfaQbIMHc2T2VmFiWFXalNUUgvJIyXg5sJSCRz8aVilIlqwDi4iVi4ProT8OBQ9NIqv0Fcs59Cp8BizBk0Jsd9BvwOBwrAmzFCQHjV1F0JfDeqqAr6Rz9MQTT+CKK67A9ddfj7Vr1+LII4/E8ccfj40bN8oemi1wofM9RjsAn1ObVdQ6xBIp9Mbdd+22joupLoTBHKqYKuIR3bOIWHk6uCzWoUrj4sEctTMwrDwqf73eK8MwuDq4KrHwqoqxga+oc7RgwQKcc845OPfcc7HvvvvirrvuwsiRI3H33XfLHpot8GRovKRkeBoLz43L4klm4kbKOADujlIA+FRgeS3VBbLPlkobII/nikXEysXBZeEccdkfvIlmeVRgMb1XHNgQT+yfgo63irIJnvjKOUexWAxvvvkmZsyYkfP6jBkzsHLlSkmjcgYedD4Lw1rBoZcJq005RdLlzWzG5K2iCOCTvmLj4LKvDGMlMmb7XLFgaDg4uHQOXTrdAJ9UEbtSfrXmkKfB9zKHPI4QYdX0VCU2iydsSfw7Ojocf3BdXZ3j94jA9u3bkUwmMXTo0JzXhw4dira2trzviUajiEaj5r/d3A+WUJGhAfg0xfPcm8NS2hxJJF31HekLJpsyx82PiWHlYMS8sn+0OWXQxTEyhcbEwrAy1WcxqNxRMcLnwRwxCeg4aKHYzCHbNCQhREkGt+ydo4aGBkelwYZh4MMPP8Qee+zhemC80ff7EEIKfsdbbrkFN954o4hh2QIPhob2mvBkWDk2xfNSYWEY6bLYSDzp6ftRsGUd1NpoVGSO+janVMY54uDgMmX/GI0rYena7ebwZ+uYaO8eN60m+oJtWo1lQOe9bw9rp603njSZc5VK+Vk877xg+0l/8skn0dTUVPI6Qgi+9a1veRoUTzQ3N8Pv9/djibZu3dqPTaK47rrrMHfuXPPfHR0dGDlyJNdxFkOYgzCOTRTGdlxJS6muF3FjOOBDJJ5ittGwOEWaTyRNy5rdH+DIupQ/Ek+azrL7TtTWo2lSqK3wPi5VHdxskOJ9DlkxWvS5Aryzf0DaQbI6vG7Bhu3mmFbzsg4Zj8trg9j0mLKOpEoOLi/Ymr3Ro0fjqKOOwqBBg2x96B577IFgUL0vCwChUAhTpkzB0qVL8Z3vfMd8fenSpTj55JPzviccDiMcDosaYknw7ZHjZVNmu6C9HqVAURH0IxJPMd9omDiSCrFsgKXikPEc+gygJuTu2aIObjTBfg699YRSL30FsGcd6JiqQ37XrF1f9o+lc+SN/eNXGOFNc8SW0bLeK7dODX3eaXNKFqX3LPRZvGBrt1q/fr2jD3333XddDUYU5s6di7PPPhsHHXQQDjvsMNx7773YuHEjLrjgAtlDswUe5ekqCkFZbMoAvV9xZhsg25J5tYSgrFO2LJqLAun7FU2kmD9byjm4CupVWNyroN8Hv89AMkUUm0M1Kw5Zp7DY7Fm5DC5L56hsmSMA+Pjjj7HnnnvyHIswnH766dixYwduuukmbNmyBRMmTMDf//53jB49WvbQbEFVYRxrg89q4WSNmDqsA4/8PQvDyjpVxHIO23vVGhcPB5dFkMKa0WKlC6kI+NAdSyo6h2zWISEkO4cMGC2V9qyQP6vfjMaTAAOHhgXbzQu2naO9994bw4cPx/Tp082fMWPGcBwaX1x00UW46KKLZA/DFXiUeXZGvLXhB9jrVZhtyqyjMIZCUOUiVsbPFjvniG2Er6JhTTHQ2KXHxbbikOUcpp0jlbR/bIOB7lgSKQbHYai4Z9HmlL1xdnM4IJijFStWYMWKFVi+fDkuueQSRCIRjBo1Ct/4xjdMZ2n48OE8x6qRgZUJYSWMY6lXUSkyBNiPi2W5NSsDFk1kNyw2qVG15pC108bSsLK6V9au3Uy0f6rNoYL7A2v9Jh1TyO/LKSRwCtZOG0sGtzeeZL8/eGiYyQu2V+CRRx6JI488Ej/72c8Qj8exatUqLF++HMuXL8djjz2GaDSKPffcE+vWreM5Xg1kjT1tbBgKeHOOrFVhXqpkeG003g2rehoM1rqQTktFUQ2DOVSN/VMx3cfawWV1zhTrOWSV+lDR4LOusM2m1AKeglbWe6l1XF6QHhc7/eaASKtZEQwGcdRRR+Hggw/GYYcdhn/84x+477778PHHH7Men0YeVDBubNhpOQ5DpeND2BlW1gafQeojY/ziSYJkirjutJ0dk/eu3QD740NUZY5UdHBZVe6o6IQAlnWoUPDE+jBVdlIARdchwz5ohBCzTUTZO0eRSAQrV67EsmXLsHz5cqxZswZjx47FtGnTcPfdd2PatGm8xqlhgVUYx6KxIV04VR6rwlgf88AqqqhgbCzYpCCtlR9JVIe9RXQshLyAuuwfL+bIm2iWrYPLIl0LcJhDBpVOANvgKZUiSmqOWK9D5RxchverK5pAMuWtMSVP2N6Rp02bhjVr1mDcuHE46qijcOmll2LatGkFGydq8APrxoYsumMDZRDtKDSuCkvaJJpIodpjGy3WlX3MnRBWxoJBxMrMsDJ3cNlE0azn0GwQ61EXwrIFSVcsYQqfWR21wkK/2cGgsAXgV9zCTr/pfVymPivgY9L3ijVs0wQrV65Ec3Mzpk+fjmOOOQbf+MY3tGMkESyrd7IRq8d8NKceOexK+b2Py3qUgpdx+XwGQn52RoxFd2yAvZiXGfvHcFO2GlaWDq5XZFkHRnOomGFluQ4pm+XVsNI5TBEgkfJ+MPVArs4E2LLwKleqAQ6co927d+Pee+9FVVUVfvWrX2H48OGYOHEiLrnkEjz55JPYtm0bz3Fq9AFLDQbr1MdAZo5yjlLwasQYRvjs6Hw1I1aWfV9YGVb2Di5jvYpCPXIAq4Cd3b1itWcBrNeh171BzcIIlnvpgHGOqqurcdxxx+HWW2/F6tWrsX37dtx2222oqqrCbbfdhhEjRmDChAk8x6phAUvqfKDnyXks6JpwAAGPB6CyjPBZ0+bKRawc6HwWmzJLB5c568DasDLbH9SZw77n9nkFc20Ps3XIOGXLkCkte+eoL6qrq9HU1ISmpiY0NjYiEAjggw8+YDk2jSKghpUJnc8qYmU4JoBtZ16AEZ3PcEGzjPBZz6FyzBFDVpLlpszSwWXO/inn4LIP6LyOieo3mY2LsaiexZisXbvZOd7qBAO8YJv7S6VSeOONN7B8+XIsW7YM//znP9Hd3W12zf7d736H6dOn8xyrhgUsNxoVNz9AzSaQtO1BrUfaHGAbSbMyrCr2EwL4pEa9pj4A1g4uY90Yg3uVTBGzh5Z3NoSdno3tHLI7t49ZcQvDgC4STyGWTH8Oq5YaLMZFnysWeykP2B5VQ0MDuru7MWzYMBx99NFYsGABpk+fjnHjxvEcn0YBsMxJZxe0OkJQlpsySyfEPGaFwSnSLCP8bKUTG1E9i83P2rWbXQkxizmkDi6LOVQvVcRS+GztgcauHQNLw8pmHbI6t0/FAgT6XPl9Bmo8VlSyDIAHjHN0++23Y/r06dh77715jkfDJnjoaFgKQb2WxbLclNku6IzmiMGCNlOjLBxcxmJels+VYXjfAFmW8rPclNk6uKyaQLLfGyqDfs/NZlmW8nNZhwpV/rJsxprVjHnr2g2wZuHT67AmXOZptfPPP5/nODQcIsyQdmVlWFkea8JyU2bZnJKHYWVSgaWgmJca+9pwAD6PDRJZbsq0FQML1iHr4KqoV1GHzQIYt2Pg4eAyvF8qNWNlOocMGdyuKDuJAg/YsjqnnnoqOjo6bH/oWWedha1bt7oelEZpMNVgMD62APAeSZupPo8RGKAuFcwyku5gxP7ROYwlU2b3Wrdgeagky02ZrW5MPbE/S4GxqgUIbNPbDJkjBTV2bKsz2TNHZe0c/fWvf8W2bdvQ0dFR8qe9vR3PPvssurq6eI/9Kw2Wh6my3JQpa+t18XSaUQULw8ouumdJBfOI8FlFrAAQ82jwOzgYMKbMkUf9BcDawWXVqT7LOhDizcHtZCQSt46LiYMbzbbU8ApWFZqJZArdsfRzoFJ6m4vGjkEwkGVw1XSObI2KEKK1RoqBaaUTow2Q5bEmXaYTotamzJIKDjNqbMjyAMfcvi9JVIbcN0nsjrKfQzZpZJYpGTbPViyRQm+cGlY2olkgfb+8NLrsYjqH7JkjJuuQkSPCtEEsQykASyeEaTsGOoflrDlatmyZ4w8ePny44/do2AcrwwqwS6sBaWMRiac8j4vLglZuU2ZjWHtiSTMF5tWwBvw+BHwGEini+X7x0YUwZP+YaI5YGdZsAYLXCD9sPdYk7tE5Yniv2Aqy2TltrKps6T5aHfJ7bhBLn/dkiiCRTHn6PJb3im0pPztRPQ/YGtW0adN4j0PDIVgJZyPxpPmgs9CGsCq5Zhux8hDzqmPwaUot4DNQyeAAx4qgH13RhHf2T1HmqIuh5ijMaFxW8brfo3g96DfgM9KFEekgxf26ZjmHLEv5WYrqWTFarKp+02PKruNIIoUaD86ROYdMmVIGe+lA0BxpqAdWhpVGrIYB1IRYGjE2zBFbOp9hSkYhzZG1yslrqW56XGyYNhqxej2tHmArMuZSys/IwWVhWA3DYPZsZdchA6ebQym/SqlRcx0yZCQB7/fLdEJY7qUM1yGL+8UD2jkqU7Dy4KkItIZBuTXATtyYpfNZ0uaq9VdhE7GyrvpglWZQNWLtVNDBZT2HrPpCsSxACDMaE8A4vc3I8WbJhBiGYbYw8TwuhuuQ1d6QSGY1diwCYB7QzlGZglWfI5aVOwA7cSPTiiKLAfNavcNWR8PWCalmwPwBDOeQZcTKsPs6y9QoqwNCqXidBcsGMDT4TB1cNmm1ZIqgJ1MVxrYCy2uFLds5ZHWESJb9U6erPx0ToK7myJFzRAjBZ599ht7eXl7j0bAJVv0mWG/KKjJHfat3vIBpfxXGhpVVBMZKdNkVY58ajWS6r7tFMkUY68bYaP+6WK9DRlqobi5BChunG2Ccdvc4h8zXIeP7pRKDS/fRiqAPQY/idV5w7Bzttdde+Pzzz3mNR8MmmLMOjJkjz6kihuPqW73jFnHGVDCrE66zDq53XQjATkfDstKJBgOEwDxE0w26Y2wjVvYOLps5ZJ0qYmlYPYvXM6ntcMDnuXs+YA0G1FqHrATsbFl4NmNieTYeLzh6snw+H/baay/s2LGD13g0bEJZ1oGR08ZyXLR6B/B2v7oZU8FhRkLxrmj6O7FLyTCKWDmI6gFv94tuyqGAL8dpdj8uRg5uJk3ELjXKSAvFcg5p9/VECikP3ddZVqoBLJ0QtuuQVfNaPpojr8yR2keHAC40R7fddht+8pOf4N133+UxHg2bYLX5sXaOWGsdWIkbWdDBrKlgVtU77B1cRk4bQ31WyM+m+7q5KTPX2KnF4FYwW4fsChCs5eksHFzm4nXl1iEbpo1pnyNG3ddZBk684Hhk3/ve99DT04NJkyYhFAqhsrIy5/c7d+5kNjiNwqhgVOnEPNphtKC7GFbJAOlx9cSSnowYS2EjHROgnoPLig1huQEahoGKgB+98aSn1Gg3wygaYJ+SUc2wshTVs+q+3s1Qywaw09gx128yK25heNQKo+7rlCkdUM7RXXfdxWEYGk7BSgjKWuvAakGzpPMBNpE0c10I48o+1g6ud10B2w64FUEfeuNJj3OYfm8Vo/SVqto/doaVnTPJqvs6XYdVHo62sULVdZg9QsT9uBLJlPlssixAALx1X8/O4QByjmbPns1jHBoOwaySQcEFDbDvnsriftFoh9WCDjOOWFVKjRJC2LeJCPgBxD05Iqo6uOwF2d6f92giiXiSZMbFbh12RROe5rBHUY0dZbRYPe8squhoMACwuV8BX7b7eiSRRL3L7uusxes84Eo48cknn+BnP/sZzjzzTGzduhUA8MILL+C9995jOjiNwmAVGfKigr0s6GSKMG8QxuKYB17aHu8Ornqp0Ug8Baq5ZckcAR5F9ZwcXO+FEazn0LtuzFoyz0oozuKZ58eyqSXIZtGupTOTUmOlk2Sl36R9qljdKx5wfLdWrFiBiRMnYvXq1Vi8eDG6uroAAG+//TZuuOEG5gPUyA9mrAO3/L33zQ9QK81gUsHMUpCse1Wpw4bQTdlngMl5bwAj9o+XeF25tJp33Vi2uaifSfd8gA1L0xPLjosFWB15xLylhul4q6OTBNikkrujbOeQBxw7R9deey1++ctfYunSpQiFQubr06dPx6pVq5gOTqMw6KacyJza7Ba8WAcWCyfkZ9PHBGCz0fQwLrfOduZVy8FlwYZ0Wc5VY3HeG8CmQpPeK1Z6FdYOLruUjPdni+XZeBRMGC0F9yyAQ3qbBcsWYZuuBRjpN2Pqa44cW5533nkH3/nOd/q9PnjwYN3/SCD6ntrsFvSEcpU0GGZkyHJBM6Xz2TbqizEqi1UpNcrakQTYiuqZG1bFKp1Y6MZ6OFQUsUnJsGUdWJ1xyL4dAwMpAIf0FRsGV/1qNcfOUUNDA7Zs2dLv9bVr12L48OFMBqVRGqxObWaudWCxoBlXFAGWNCSDTZl1pROgmBaKAcvGOgUJsNFCZZ939g4ui8aG7NNqDFg2DnPojVnO7A8KMUeEECU1iT2Mz10E2Oo3WT5brOHYOZo1axauueYatLW1wTAMpFIp/POf/8RVV12F73//+zzGqJEH1lObvVHU6lHBrFMfABvRJetop0JVB5dFdB/nwBwxZCV5OLhujzUhhDDv+8LiQNxexuJ1gA1Lw62IxMOYrAUI7KvovDNHbB1cdqwky/2BNRw7RzfffDNGjRqF4cOHo6urC/vttx+OOuooHH744fjZz37GY4waBcAy98tcr+JhTOamrBwVzDbaoX1f0uPyYlj5pPu8RazUsPJgHdSh81k4uNFECsmMZWUnqmf3vLMUzbJpqcFYkJ3Zs+JJYs6DU1iLSKqYFSDQ9DaLYICl5oidUFzlajXHIwsGg3jkkUdw0003Ye3atUilUjjggAOw11578RifRhFUBP3oiCQU02AwYGioc8RokwGs2hB1HEkg7YgkYknXUWtPLAkqV2LfIVsd4TPASoPBdlw5jQ1d3q+c6kxWjFbA+zrs4cAcsWFw2bJ/lO0G0k6bm72wm0NlH5M9i4dEgaWuVOFqNcd37KOPPsJee+2FcePGYdy4cTzGpGETXnPl1iZv7HvkMMiTM6SCWZyBxWOjqQj60e3hWBO6KbMtmfeeZugxWTa1NmXWuhAg6+C6HZe14zNrw+opfcWTdVBIKF5hOYDYrXPEgwlhUxjBgf1joN9krRvjAcdptfHjx2P48OGYNWsW/vCHP2DdunU8xqVhA17z9z3W7qnMS5sZMEdMK50GZprBeq+Ylcwz1DqodK8APpuyV6E4L6cb8MgcMdayAWzaMXQxTm/7fAZCfm/6TR5NDVm01ODzvLPIDrBvMcAajp2jLVu24I477kBdXR1+/etfY99998WwYcNwxhln4J577uExRo0C8Jr+oKLZUMCHAIPuqQAbwWUvl1J+NctivbIhNDJ0e4hnPrDoRM1a+AywSRWx1qsA3p223jh7hoaFboxnYYQnVpJDiwFm65CpFMD7806fLZWed8CqSRxAzNHQoUNx5pln4p577sF//vMffPjhh5g5cyaeeuopXHzxxTzGqFEAXqsGeqI8Nj8WepX096kMqlXpxOM8IK+dzrMVRWrNYTaSZpkaZcccqeXg8pvDmIdgoJdrjxwGzBFTZ9LbuHiswzCL1Gjmea/kwEq63bNiiZRZ2alytZrjkXV1deG1117D8uXLsWLFCrz11lvYd999cemll2LatGk8xqhRAF4Fez1chM8MWAcOTgiTNEOMn67Au2HlMCZPc8gxVcSgvwrTvi8eq3foHHJh/xgctMyUDfGYKoonU6bDx6NNhJfCCIDxHDJIb/PQHLFi2QC1+xw5froaGxvR1NSEs88+Gz/72c9wxBFHoL6+nsfYNErATGG5TatxKJkP9ymL9bsQmHLRHDGg87s4GFavZbE8SnVZtGPgmpJxOS7rgcY8uq+7HRdP9s/TcTlcghQ2wQCgFqPFo68XmwIEDpojjw4u3d9DATaH4fKC45GdcMIJSCaTeOihh/DnP/8Zjz76KD744AMeY9MoAa9pBi49MPqUxboBF4rao8FPWkq1+VSkqJOSCQez4lS3x5rwOT6EjSMJMJ5DRswRj2aLqp1/5TWgo8xf0G8wO3cR8M6W9nKt7FOLOfLqSJbDobOAC+fomWeewfbt27F06VIcccQReOmll3D00UejpaUFZ5xxBo8xahQAq02ZB20OeKjeUbBDdg4VzMNpU2kOM59FiPuuzzyPD/HKOviM3ON3vI+LTZqBi26MxUHLCs4hy+cd8H68UFbbo5Z4nQcL79Xx5hEM8IDr0e2///5IJpOIx+OIRqN44YUXsHjxYpZj0ygBr5syD8ElLYuNJVMehOIchKAemSPehlWplExO35eUaTgcjSvOI1XE6l6xa3sAeDesXATZmTElUwTxZMpV+qKHS2GEt5RMJM7HsFZY2FI34PO8MyiMUFC/2ctBn8UDjlfMr3/9a5x88sloamrCIYccgsceewzjx4/H008/je3bt/MYo0YBeK106uZQBg54jyx4MEdhj5syL8PKKpJmqSkI+g3Qr+g+kuaRkvG4KWe+SwVj1sGrYeXhhPTt+uwGfDVH3uaQ9Z7lPXiieyl7hiaWTLk+1qSHZ5Di0cFlzf6xhuOZfOSRR3D00UfjvPPOw1FHHYW6ujoe49KwAWaVTqwp6qAfndEEg/J0dRqX0XvF3rB6c3DNlAzDcRmGgYqAH73xpPemeApV0WUNK1sRqOc+Rxz6eoVzznxLobbC+WdwScl4LE/v5bwOve4PPLQ9QPp+uZkHrlWjrvt6DVDn6I033uAxDg0XYEVvsj78z6vTxkdzpF6jPoBl/p49G9IbZ3AkhkJ6lQgnvQorw8qSDTEMA+GAD9FEykN5OgfmiBH7Vxlk6+B6XYc8Kw6BdGqtKuTs/bz6CXlOQVIHd6Cl1QBg9+7duPPOO3HuuefivPPOw4IFC9De3s56bCY2bNiAc845B2PHjkVlZSXGjRuHG264AbFYLOe6jRs34qSTTkJ1dTWam5tx2WWX9bvmnXfewbRp01BZWYnhw4fjpptucl2RIxteNRi80mqejQUPzZFnhoaPE+L1OIWsYWXt4LIZl0qiel4Rq2cHl6Y+FHLaYomUee4iHwbXY0qG0zr0nBpleK/8PgNBfzq/7YYtpU5Ielw8HFyvzJG6ZfyAS+Zo5syZqKysxCGHHAJCCH79619j/vz5WLJkCQ488EDmg/zPf/6DVCqFP/zhD9hzzz3x7rvv4rzzzkN3dzfuuOMOAEAymcQJJ5yAwYMH47XXXsOOHTswe/ZsEEKwcOFCAEBHRweOPfZYTJ8+HWvWrMGHH36IOXPmoLq6GldeeSXzcfMGs+7KvIyFiwVNCOF04GUmf59IIZUijg/45BHdAwxE9XH20T3gbQ5jiRQSKfaG1Ws7Bl6aI6+GlUcaGfDmtPGqzmQm5uWkG1Op4hBIP/PxZMLV/aL7aMjvY9r2wGtAN2A1Rz/+8Y/x7W9/G/fddx8CgfTbE4kEzj33XFxxxRV45ZVXmA/yuOOOw3HHHWf+e4899sC6detw9913m87RkiVL8P7772PTpk1obW0FANx5552YM2cObr75ZtTV1eGRRx5BJBLBAw88gHA4jAkTJuDDDz/EggULMHfuXKZCWxFgpTnixRy5qbKIJVOg2kOWRiw3f59y/J0jHISNgOWEa4+HlvJKFbmZQ2vEyqs8nRDieL3yqpLxnEaO8mVw3aTV6N4Q9BtMG/Vl+xyp5eCqyJQC6WerK+rWwaX3irXGTk32jzUc37U33ngD11xzjekYAUAgEMDVV18tVI/U3t6OpqYm89+rVq3ChAkTTMcIAGbOnIloNIo333zTvGbatGkIh8M512zevBkbNmwo+Lei0Sg6OjpyflSA9+ND2B+HAXirZojEspsTj4M4AW8bDcuKIsB7F1xurIMHfQ81YKwNq3WTd+NM8opYvfYb49G1G7Cm3V04uLzuldeqUd6pUQbVrCzhJTvAq+0BKwbXTYsQkXC8c9XV1WHjxo39Xt+0aRNqa2uZDKoUPvnkEyxcuBAXXHCB+VpbWxuGDh2ac11jYyNCoRDa2toKXkP/Ta/Jh1tuuQX19fXmz8iRI1l9FU/wWtrMTUfjYfHQhRPwsTWsAb8PAZ/7/D03ls1rE0jeQnE3WgfO0T2glsFndfAsa8fbiyPCj2VLfx49XsgpIgqy3QBf5gjwtpdyY0pdp5HT7xtwzNHpp5+Oc845B0888QQ2bdqEzz//HI8//jjOPfdcnHnmmY4+a968eTAMo+hPXzZq8+bNOO644/Dd734X5557bs7v8tHsfen3vtdQMXYxiv66665De3u7+bNp0yZH35MXmB2WqFDfF55lnl6o814OJfO5Y1IzNeruXvGZw6DfZ57V587gp78L6yoZr6lRHpVOgFVzpBDL5rH/Er8+R96Yox5uPeM8BJqcqzOpftPxuAaq5uiOO+6AYRj4/ve/j0Qic85NMIgLL7wQt956q6PPuuSSS0oeOTJmzBjz/zdv3ozp06fjsMMOw7333ptzXUtLC1avXp3z2q5duxCPx012qKWlpR9DtHXrVgDoxyhZEQ6Hc1JxqsBzUzxepfwMFjSPMk8W+XteUZhXw8qyVBfIGgs3jjcvAwakDX5PzF2LAe6pIsXEvF40R9zYv5zu60nHew/vOfSqhWK+Dj1UaPIOnABv+s0B5xyFQiH893//N2655RZ88sknIIRgzz33RFVVleM/3tzcjObmZlvXfvHFF5g+fTqmTJmCRYsWwefLJb0OO+ww3HzzzdiyZQuGDRsGIC3SDofDmDJlinnNT3/6U8RiMYRCIfOa1tbWHCesXMCqnxCvslhXrAPHheMlCuOdgvTaiVol5ojn5lcR9GecI3XGxerwYH6sgwf2j/GYrMcLuWKWaUqGW2rUW9sDlUT1/DR2Vu1f0vF3HnB9jnp6enDxxRdj+PDhGDJkCM4991wMGzYM+++/vyvHyAk2b96Mo48+GiNHjsQdd9yBbdu2oa2tLYcFmjFjBvbbbz+cffbZWLt2LV566SVcddVVOO+888wu3rNmzUI4HMacOXPw7rvv4umnn8b8+fPLslINYFcWq1JjQ76G1XuaQSVNAcDnTCfA2xzy6mIMWNIfXtIMCjkhyRQxnQR+rIM6LBvgTaPFq9Ipmxp1/1wBHNk/D4Em63WYo99ULABmCdur8YYbbsADDzyAs846CxUVFXjsscdw4YUX4i9/+QvP8QFIszsff/wxPv74Y4wYMSLnd1Qz5Pf78fzzz+Oiiy7C1KlTUVlZiVmzZpml/gBQX1+PpUuX4uKLL8ZBBx2ExsZGzJ07F3PnzuX+HXjAS1QBWI8P4SMEdRcZ8kyruReo8j4+xM0mk0haIlaF0gxidGMKpYo8aP96Ld9DJaeNN/vXGXHXu0fFUn5eRSSAx8IIjge8VgT96IomlHO8WcK2VVy8eDHuv/9+UyP0ve99D1OnTkUymYTfz/dLzpkzB3PmzCl53ahRo/Dcc88VvWbixIlcejHJQLZniPMFTQjhX83gaeGw757qJQrr4VSqq6phZSKq56E5Mh1cdSJWFuJ1w8htN8FmXB6eLY5BChODr1DFIc/nnQVzxGcvzeg3vaT7GJ9xyBq2R7dp0yYceeSR5r8POeQQBAIBbN68mcvANErDrBpwcWqz1eipGLFyScl4ckT4dcAFvEWsfAyre4ZGRGrUFaPFu9zaoy6EdWrfGxvCR9sDsGH/2Pc5YtD2gKsUQK11yELPxmOPZwnbO2oymTRFzBSBQMCsWNMQj9ymeM4WjzVPXsEpYvVqLFjDSxUdN9Gs5V45PeMvYhGnsjasXsrA+WqOvDNHzI8P8fBciQgGVHJCAG/NKblpjhg0zOQxhyycNi7sn6LPFkvYzhEQQjBnzpyckvZIJIILLrgA1dXV5muLFy9mO0KNgrB2GHV6ajN9QEN+HwKM8+RsqGCeEat7g89LcElImgF00jWWbph8DCuLMnA+dD6gmCDbkoJ0eqyJiOpMT5VOPFJFDIIUfpoj52OK8pxDD0UkXPdSBgGB6k0gbTtHs2fP7vfa9773PaaD0XAGempzPEkcRxYiDJg7rQOfRn2AxwoszmerAWnj6sQ54knnq96OwU1ajV8pv3sHN8uycVyHqrF/Xjp3cz/WxANzxNGR9NRvTLHKX577FkvYdo4WLVrEcxwaLlHh8tRmnnQ+i+NDVDP4vCLWoN+AYaQNaySeRF1F0PZ7uTq4HkSzvI54ADxuypzPVgPS43LkHAkQ86rkhAAe02rc2jGkx0S7Pvt8btg/fkUknioOeQrFHT5bOYVAijtHasvFNUrC7QGhfBeO+0onIX2OPOTvWVerGYaRjQ4dboBCqsIUKpm3fqa3qiK22x51cAHnjJYZpHA4hNOTboyjwWfxbPFijoA0++doTIoKskWwf073rFgyBVo7NGCaQGqoCbeOCK9OswCb40O4RtIKpdUA9xtglKNhzR4fomilkxeBKuNx5Ti4Du8XdVxUe965sn8uRfXxZAqJFKe+XpaiFMeBZuZ78GXh1WFKAfeBpvV7aOZIgyvc6mi4Vlgw0KtwrXRyOK64pVUCF0fEZdNMISkZhY6eANwLVFOWTtQqRfgiKp289Krisz94u1cAUMGY/fPS9TkigDlypzlSLwCm1/s5NMxkDbVHp1ESbqNDvqJZNcs83fbI4bkpAx4c3BjPiNV9PyEV2zFYI1yVnEllUzJC5tCdE+Iz0lW2rOE50FSsCSRP9s9tkFIuYmxAO0dlD7ebMl/RrPuIlWf3VLfj4r0puzasX7FjOqyf6TyNbHFweep7FKoa9VQYIURU7z6g43EWpmcGV6H0FSCo/5JCTClraOeozOGWdhVT5qkY66Dophw2N2WXYl6eR614OB9PRcMaDvgcVSLZH5e7CJ9njxwWBy3zdLxd71mchLyuWXiO7RhYVP7y0Ul6DOgUPzoE0M5R2SPssdKJt9bBaddn04gpJOblvim7rCpS0ZG0vkelRp68G8+5rcASkpJRTHPk1mnjfeyEWy0UdfL4ao7U6ifkWpCt02oaouC+aoBn+sp6rIk6OWm3lR/0eif9a5zAtWHlejiou4oiQIyezflxOfzEqYD7vlAiUqNezqFTqUcO7/44bp95nk6bW+aI58HigHumtFx6HAHaOSp7uBWompEhx+orwPniiXCssHBdJcPRUACqGtb0mJIpgrjTvi8CdGMqFSAA7is0RYjq3Z1xKKLSSS32z2vBhkpC/3iSZCtsucyhV42ddo40OCPs0oPnKcgO+n3w07JYhVJYXstPubEObucwzs+w5ji4CkXSrlMynDflCpeMlogUpNVQ2kEimTIbIaoVpPB73gH3/ZdoyTzfRp7uK2xVYiV5B5osoZ2jMofbtBpvY+G+PF09gSpv1sFzapQj62D9O3bAvZ+QW6aUN/vnVQvF8XkHnDltVueASxm4R7ab+zpU6rQBd/rN3H5CPIpI1NNJsoZ2jsocbnU0PBuEAe7EoNY8uUonzfPU9gBe5pDfRmMYBkIuHFze/YTM9JVCjiTAoAkkRycEcPZsWdseWJ1kVlA1SHF7qLE4B9f5HHJre6Cog8sS2jkqc7jelEXpaByMK8o5YnUd3SeoPovPcnGtdeDstLk5QoR3PyG3h5byZ0pdphni/J4tK2vgyMEV1E/IdaUTb82RUmlkd/pN7mlkt5W/NDWq02oavOG6saGCAtVcw8ozYlXMkXQ7h9ydNufRoah+QurNoTfDyi9Icf5sieonpJqD61Xsz6PPUcBngC4jJ44I735Crjtka+ZIQxTcMDSAmpojOqaQ34cAj07UGUORSBEkHFRgiRJkq2fwnTu4/CuK3Ipm6Ryq40gC4KrPAty1ieB9xAOLZqw8oGIPLcMwXDmTvPsJuX3eteZIQxjclxCrx4bw7PhsHRPgLpJWyZG0Xs9Pg+E83Seqn1AskULKQQWWOAdXnZRM+nPdBync1qHLA3GzexYnNsT1OhSj33TFHHGu7FONKWUJ7RyVOdweHyJKR+NuU+Zr7AGnGgy+JcSuHVxBaQZXKRnO9wpwNq4ec1MOMB8TwOJsNd6Ot3ppNeWCAY9FJNwbjCq0l3ouQNDMkQZvVLg8PoS3uNFNuS7vlIzPZ6nAUsjgu++Rw7nvi4IOboVLB1eU0+a6YzB3BtfBOhSUVnOa3lbR4Ft7SPE48sj6uW70m6rpxnhnB1hC/RFqFIXn88I4bzTOKp340tOAO+o8wpnO936II2cH1wmdz3lTDvh9CLhoMMp9Dl0wR6kUQYyz5sjNsyWKkQQcBimCxOtuAidAQHrbyfMuKOUeS6YcNRjVgmwNYfDaQVWlyg8RlKuXcfHeaJwY1qQQw+o8JSNCcOnF4KskUM3pCaWQYeV9r0J+Vdk/F+1HODdbBNR+3gG1nDaW0M5RmcMN5ZpKkayIUMUSYq6G1b0Gg78j6dwJAUSkilRzcNVL97nS9nButgi4DAY4MzQ56W2X/Zd4wOuexaMnFODyeefcTyiH/XOzl2pBtgZvuBFk5zRbVCgK462DAqwaLeebMn/hs/MxARwNq5s0g4A5DLsxYgpWZ/LuCZUel/P0thD2z4NQnLfBV6myD3Cn36TjquI0h24bjPJuE8ES2jkqc3ihXK3vZw0VK50At2WxYtJXbjrg8jSsbhxc3v2EAHeRtLjDg9UpQADcHfOgbHqbs2F117pCHFPqLBhIAFDv2eLd9oAltHNU5vDUbDHgg59XxKpg+Wn6s13oaL6ClX2AdfNTjHVQUDfmzmETUIDgJo0c45tyB9z2QVNXvK7q885zL3XT+oB3EQlLaOeozOHm1GYR1KanzrycKooAdyksFUuIRVT2uRsXf02Bpwos7pV96mjZAG8pGRHPlhs9G/8jYJwIsgU4kq60UGrvD5o50uAON12fRfSa8HT0hBBjoU506CqKTvA3rJUeHEkR7RgcjYt35243xl5ASoYabdXWoav0trAjMVw4uBwOWabIzqE6onrA+f2yNszUTSA1uMPaFM+uZkXE5kc/u9dNqkixaIf7sSYuznwTaVitVVWloGqaQdjxIa40dvy2YTfrUAj75zBIEWFY3bTUEMmUOlmHYgJNZ/crpxBIp9U0eCPgz+qG7D6kIrx3mhpzdaK7Yj1yeOt7whbjaNe4ihE+e3BwuRoLZzqanCMeuKXV0mNKpgjiNh1cEfeq0oUjKYT9cxikiDCs3rRsijm4AkX1dtlSq3PH69gqllB/hBol4VT8LIJyrXQR7YjIkzsVsMeTKcSThOu43Jz5JtKw9rro3cN1U3aoo7Ee8SCk67PDOeSZkqlQlP1zmt4WYVjDlqowu/pNISx8JtB0w/6pFKSYhUB+HwJ+9V0P9UeoURJO2RCRqQ/1FrQzrYPV0PEyrIZhWHQ0DnVjIrQOqhlWl887IMbBtTuHIlIyntLbXAsjHAZ0AgwrXd+EpI/FsAPePdAAd+yfmF5VzsYloicUS5THKDWKwmkFltYc2ddn0fEbBr9mi+lxOdxoFDWsIqtknD7vPI94sDq49o0F/3vlSXOkkCBbTLNFK4PrbH8Qca9UY//c7lnloDcCtHM0IOD06AIhhtUD66BSSoY6URUBfscDAM7TfWKcEBcRq4JVMtYqJzFzqFBhhAftn0rH+IgwrCG/D/TxsK+j4V/KbxZGuGp7wNGZdNicspzOVQO0czQg4LSnkPoRq0IMjaCmZSqmRr1sylznMOCWdRA1hw41RyJE9S4qnUQEKSqx3YZhOO4pJGQdetD+hXnq2RzuWfS6cijjB7RzNCDgNH8vso+Jm7RaVSjAZUyAh4iVu2F1liqKCjCs3iqdRMyhUweX73bntF+VWMPqPEipEtEhW6H0VfrzHVbRiVyHNh3cVIqYzyDXOVQ0SGEF7RwNADiNdkRErNbmc6mUzc7dAsW8dp0QUSJCt8ZCiGF1wjoIOXjWmW4sItrBVUk35rCBYE7bA4X6jYnSqziuohNxrxwyuFZnhes6dBukaOdIQxRcR9ICDCvgIpIWcHyIU10I72jHseZIRPM5Swmx7aNpVBSCCtqUwy4jaZUc3FgyBRrL8Hy2nB5rImoOzb1UITbEKfuX2/ZAhH7TYZCiBdkaouD0XCeRXV0BBxEPbQLJdUE72/xEiQhVTsmkbJY2x5MpJFJ8e0IB7iud+OvGnAqy+WswrIbVjoMbiVmaLSokyBa+DhUSijtNq5nNdAM++DgdLA64YEo1c6QhGio+pH6fgVDAfvOyVIpkT91WqdJJkGF1GkmLMKw5jQ1jpe+XdZ4rhPTIUU03pp7ImAZAdh1cOocBn4Egx0Z9YacOroCADnBe3EIDUpUKI0Q0iAW8tGPQzpGGIDhlHURFYU4o/ZzjAQR0yHZaqquaEFTEHAb9PrMvkJ2NmUa2PiNdFs0Lzqsz1dariGCOAGcOrihHUqUKW8D5eWERgT2hEjaPpuF9yHJ2XA57xpksW3m4HeUxSo2iULU83Um1Uw7r8JXWq6hjWK2fb8c5st4rnv2EHJdbCzBggAuBqoCUTNDvQ8Bn38EVxdBUOO3NJtxpU2cdWr+z03XIE25PG9BpNQ1hcCvm5antAZzRwebxAIHsQbo84PT0dBGVfdbPdxqF8R6XE/ZPvLZHLQfXsUA1Y1R4H8LpRNAr2rA6ZrsFOW0qVbMG/Ub2cHEH65B/EYl6lX0soZ2jAQCnPYUoRc2zBwbgrAGd6H5CKqWvAOdzKKInFODQwRXE0KjYMBNw3o1aVPWOk8NnxQufHWqORK1Dm+JnOoc816FhGM4cXFHPlUumlDcryQpl5xxFo1FMnjwZhmHgrbfeyvndxo0bcdJJJ6G6uhrNzc247LLLEIvFcq555513MG3aNFRWVmL48OG46aabbJcpqwrTgNnQFADiorDKoH1BtuhNOWKzekfUgq5y2I9GmMF3kRoVpQuxa1hFOSHUQNp1cHtMB1eQ9k+ltJqi7J+q69BJ8CRqL1W1HQMr8A07OeDqq69Ga2sr/u///i/n9WQyiRNOOAGDBw/Ga6+9hh07dmD27NkghGDhwoUAgI6ODhx77LGYPn061qxZgw8//BBz5sxBdXU1rrzyShlfhwmqzOg+Yev6nlj6Ov6RtAvDyp02z1bvxJMEoUDxFJ7ozY/OTSmI7vrsiHX4ilbJOJ5DQWyIOweX73PlVmPHe1zZOSx9r0S1rgCy69xJeltcEYlahUCsUFbO0f/+7/9iyZIleOqpp/C///u/Ob9bsmQJ3n//fWzatAmtra0AgDvvvBNz5szBzTffjLq6OjzyyCOIRCJ44IEHEA6HMWHCBHz44YdYsGAB5s6dy1VEyhNOG72Jol2djCvb44jzpmzZXKOJpNluoBBER6x2NmVAvGG1F7GKquxLf348SZBMkZIaNVGVTk7m0HrEA3fH20FaTXizReXYP/tzaL1G2F6qVFqN6sbUKgRihbJJq3355Zc477zz8NBDD6Gqqqrf71etWoUJEyaYjhEAzJw5E9FoFG+++aZ5zbRp0xAOh3Ou2bx5MzZs2FDwb0ejUXR0dOT8qIRKh4Y1IshYOKp0EnY8QPbkbTsRT1SQwXdC5ydzzk5ST3MkyrACNtkQwYbVzphEHfEAuExvCzto2WZ6WxAb4mgOM9f4fYbZ8oIXVGT/HGv/BAV0rFAWzhEhBHPmzMEFF1yAgw46KO81bW1tGDp0aM5rjY2NCIVCaGtrK3gN/Te9Jh9uueUW1NfXmz8jR4708nWYo8qBAUskU2YzOFFaBzuLR1TEahiGo+o+8Wk1+5syoFaEL7oqDHBmxFSaQ+s1PI94AFxqjgTNIU1vlxyXgnNoDQZ4Zx2y6e3Se6m4591pZZ+YoJwVpDpH8+bNg2EYRX/eeOMNLFy4EB0dHbjuuuuKfl6+B5QQkvN632to1FLs4b7uuuvQ3t5u/mzatMnJ1+QOegK6rQUtqJ8Q4Ix1EJmPdkIHixNku5tD3mlIN5oj3u0FfD7DbDJpR7MimnVwYlgrgnyPeABcav8E9YQC7GnHxLF/ztehCCbEVdWoIP0mTW+XQlQQK8kKUjVHl1xyCc4444yi14wZMwa//OUv8frrr+ekwwDgoIMOwllnnYUHH3wQLS0tWL16dc7vd+3ahXg8brJDLS0t/RiirVu3AkA/RsmKcDjc72+rhCoXmgLD4G9YHVHBAss8ww4a0JkbIOd75WgORRpWBVOjQNq4xpIpWxVrSqbVJAQDKmmOaHqbkEzquqL49aLul5M5FFUUAajdqwpI36/qcHF3IruXaueoJJqbm9Hc3Fzyut/85jf45S9/af578+bNmDlzJp544gkceuihAIDDDjsMN998M7Zs2YJhw4YBSIu0w+EwpkyZYl7z05/+FLFYDKFQyLymtbUVY8aMYfztxMFNVFEllAq2s6DFUa5OumSb90shbY9Iw+pmUxYRSVcE/eiMJGw5uCqm1USWNTsS1QtyJGl6OxJPOXJERLHddioOs3spfzPq5PBZ0S01AGfOkT4+hCFGjRqFCRMmmD977703AGDcuHEYMWIEAGDGjBnYb7/9cPbZZ2Pt2rV46aWXcNVVV+G8885DXV0dAGDWrFkIh8OYM2cO3n33XTz99NOYP39+WVeqAdlFYGtBC6Q23R49wRtOOhn3ZNojiKpGcaJX4e2wAZaUjEKbMmDRQtlJyQhjHTJ9jpywfwLWocoOLuAsva3SOhQ5hxVugifO43Kc3taCbDnw+/14/vnnUVFRgalTp+K0007DKaecgjvuuMO8pr6+HkuXLsXnn3+Ogw46CBdddBHmzp2LuXPnShy5d2Sp4BRSJXK/Ih9QFatkAIci45gY8Xo2rWbfweWt7Un/DTUZLScN6ERFrE4KI0Q1gAScOrgCGVwHQYqoClsncyiqKiz9N9QT1QP2zxMU2bqCFcqqzxHFmDFj8pZ/jho1Cs8991zR906cOBGvvPIKr6FJgZVBiCSSRRmFbJpIrU3ZFPNy1vYAllPdbUWsYhtm9mRKm4sxmSLZv+ymbD8yFOng2jmLTnRPKDsMrpm+Eqk5UkifBdg3rNYKW1HrUCV9lvVvqDaubHq7+LhEtq5ghQHDHH2VYc39lqKDRS8c698sBqEUtc0WA4QQ4Uc8EFL6ME6RhtWNsRCSkrHJHImMWCudMLgiK50cOLhCheI2mSNrykbFxrVCghRH61CkftNecYt13OUiyNbO0QCAz2fYXtRyNmXFoh2bJ29HEylQglJUCTGg5hzaS19JENWXmEOREavVgS71zAtlHVR1cG0yR9Zx866wNUv5bTSn7DGDFP4JGEfpbZEMbsCeboyOOxzgX2HLCto5GiCw22OlR+DCcbIpyyhtdhLt8B6X32eYR5n0lNgAewSmRpXdlBWMWK2fX9I5ErkOXVRnikmr2XRwLXsD78IZ+r2TKVKyOWX2XimmOZIhqi/F/pVZjyNAO0cDBnYPvYwIShMBLlveKyTIpk5KyO9DwM9/qdgVZQst5VdUgxG2+WyJjFh9PsN8tkqyf6o6uCoGKQL3hhz2r8Qcil2H6nWqB5ywf+Ulxga0czRgYLfKQmQlgyvNkULiRpFRNGAdlz02RDnWQWDEWmXz2RIZDKT/jr0Oy1K6KyvG4NqtZhV1Zh8ABP0+BDJONG3jUXBcigqyxTK4Nu2OwHvFCto5GiCw22G5R+BGo6qIsNKuARN4rwD7DeiU1Y0J3JTtPu+iI1a790uGYVWp7QFg7Qtl93kXY67sHuRNfy+yiEQ1/aZdOYfIPYsVtHM0QGB3QctJqzmokhFpWEtEhtRJEcc6ZObQpuZIJJ2vXErGtgFL5FzPG3YdXN3l3Bo8qZNWAxw43nQvVWgO48kUEplKSTHOkb3Gp6JZeBbQztEAgdNqNZGbciyZQiJpU7CnYLQjPq2mjoOr4rlcQPbIBpVaVwAuGFwhhRH2HNxUighrtghknYpS6SuRrSusf6dkylZCcUupnnE5B4uLEIo7DMp1Wk1DOEwP3ibrIOTYAsvfKNVeXiR1bndBi0+r2YzCJKTVoonivXsIIdlxCUnJqCdet/4dlarV7Dq41v5aQnRjDhkaUSkZ22l3BdPb1HnyGTCP9hAxLrv6LJ1W0xAO2wZfIBVs7Ulil3ZVaVMWGd0D1khaHcOa6+AWHldOTyiBKRnl2D+n41LIwc1hHVTS/inK/qnYUNc6JhHnhdq9V7qUX0MabEfSAg2rYRi2xKCiz92pNFMy9qId0ZojuwJVkV2MgeIbYESwYbVfnZkSNibAhbEQ6EgCxR1cei9DAR/8Ahr12RfVS0pvl2JDZKTVSnRfzwYDYk4GcxoMiDgeihXKZ6QaRWH3NOkegQwNYBFdFjFios/dsa05EpxWsysyFjkun88wGcBic0h/F/QbCArsCaUa61BpUwsltNLJpoMrPI3ssDeb+KpRmyy8wOIWoPjxQiIbUwKWlhqlggEtyNaQBTtOiPX3xQ6nZQk7ImPR5+5UmVGY3bSamHtlt3ePrFRRsfslMi2aHpM9J0S0YbXNaAlMb9t1cFV3QlRj/2T0jAPsBSninndnLLwWZGsIh4p0PpAVWNtZ0KLO3VExMrT+HZW0Dta/U6zkWmSVE+AgBSk6JaNgetv6d4o6uLJK5u12V/4Kr0Pr8ULawRUD7RwNEDhNq4miXW2l1YRvynZ7c6QNnGppNeGG1QajJa3tgU2GRhijZXMdqujgimf/1LxX5lFMNruvq9TqQ5bGzvbxITqtpiEalZbTpIshu9GITasV688huouxtdlisZO3hUfSCnZXBuxVytDNUURaFFBXc+Q0rSbaabOXkhGkV7EZpEhLjRYZVzyZMg+mrRK9l6oUpOg+Rxqqw/TgFWMdbBnWhJyINZkiiBVpTkkXvOhzuey2GBAuqrehGxPVidq2YZXFlBYZl7XZoqhny4mDKzp9VVKvouCzJbrZImCPhZenOVIrSGEB7RwNEJgefJHyU0KIySyp1BRPNJ1vFcEqVb1jw1hY2x6IMqyOIlbB518lUgSxYtU7kp73YsZCdHWm9e8o9bwrzpQWY+FFN1vMGVexZ0vwHDo+8Fyn1TREw86mHE8SJOm5OyptyoINa8DvMze0YvdLxeNDZBrW7iJOm6z0FVD8folm2ex0qhddnQnY690jqyrMdu8ehcT+opst5o6r9J4l7CxBm+0YNHOkIQ1OFg6gFu0qo3uqnVy5yANeAXtRmAzDWm3j2RI9h0G/D0F/2igVY0vpmIW1rqDnmNlYh6KqM4Hss9UdVS8lY/3b+SDtAGiFAifAXhpSliNZ0sEVvJeygHaOBgjsGFZqwPw+wzQsvFFth3WQsHBsOZPCDav9TVmoYQ2nv39RwyqYoQHssaXUcRKXgizd90XGCeU14dLjEq9H9IGSLraCFIUqIUWPCQCqM/tQt0KpUdsObmYd6mo1DeGw0xTPFBiLpILppmwjYhVqWJ1EYSqlIKVsyupFrIA94ax4Ub19BldEA0iKqrB6zJH1eCF7QYo661C0tgfIzmFPtIiDK3jPsuvgip5DFtDO0QABXaSxRMrUFfWFDFGcLeZIimEtLboUnlazcfSEFMNqRqyKzqGC7J+tAgQJrIMdB1dkkJJdh4XH1SN4Dh2l1QTeK1vMkeA5tOvg0ntZLWgOWUA7RwMEVo+80AYoxYDZYI5knLtDHZHiEavglIzFsBbqvyTFsJoRq1pzaIf9646KpfPtpPpksmzFUzLiG/XZSiWLZo6CNkT1MhxJG8yR6IAOKO3gplJEikbLK7RzNEAQDmTpzUKLWga1aYc5iiTEdnUFSm/KhGQXtOiUDJA9jqMv5BpWNVkHOyks6uCJGlO0CIMroyFetZOUjMg5LBGkxJMpsxeZSmk1VTVH2bSaONNeUYI5iiSSoLGeTqtpCIcdelOOAbORKpIg5jWNRQGDH02kQG2bKJbG+v0LjUuqYS3qhIh3cEuxIbGE+C7G1tRPob5QMgyrLebI3B/EmYWsFir/82595sSn1RIFGdyI4MCp77gKwdxLBVWyAtaUbfHnHdDVahqSUCpXLiVPXmLzA+RQwXRBdxUYl9XBFKXv8VtOTy+10UgxrEXmkKYgq2Wk+wqlka2bsqBx0fkD1FyHxQxrtmRenC6klGGlcxiwHLzKG/RZSRGYDVcLjUtsQFe6apQ6v/RaEaDPVqm9tDLoF1ZhywLaORpAKJUqMg9SlRKxFkvJZAyroNRH+m8V10JRAxby+xAQ1AEXKH2Qo0whaDHmiG7YVSI35RIOLtVABP3iDKvPZ4PBlerg2hDNCl2HxQ1rj4Q9y7q2VFqHdpgj+jsZe2kp9q+cUmqAdo4GFGjqoOCClpEntyHmNQ2ryIi15KYsPsUAlBb0SjGslP2zsykLfbbsbcqiqfxSPcekpEYdiNfFrkP1DGtOg1GV2D8bqdHsMy8+SCk0h90SHFwW0M7RAEJFybRaphpFyoIuL8MqugScohT7J8ewlq447JZwv2pKpBlkzWH2DKxSjrf4qlFbzJGEtFop50h0CbjKQUrRarWoROaoxL3SzJGGNFSV2JTNtJoEKjgSL1y9IyMlYxrWEm0PRC/o7NlcxccloyqsqIMrYVMuJeY1mRCBYwJKV9HJeLYcMUcKGVYZaTUguw6VYuFLpLdTqezB4mKDFHuietFBildo52gAwa4gW+imbHF4CkfS4pmjUhoMOiaRTghQmjmSUkIcpoaiiIMrkzkq9FzJcnBLGHwpJfMlxkQIkcLSlDKssliH7Fl06vSMKyUFsJbMiw1SSmj/BPeLYwXtHA0g1FSUyv2KZx3CAR98JdrLyzGsam7KNSXSfWYJsQTmCLDh4IpkHUxBdgk6X6D+ArD/bMk4Aibd3qB/BVYsmUIi4/jKYI4KGdZu816JncPqEo63FAe3RJdzGugZhthS/lJ7lk6raUhHTSkPPvN6jcD0lWEYpXUFEvPkBctPJXV0zc5hAUcyKn5c4YAPfl9hgWpOPyEJovpCGgzR3bEpSq1DGUGKdV7yzaFVTybS8S61N8hoEQGouQ7pvYonCWJ5WgyYDI3gkvlso9/iwa9oB9crtHM0gGAu6Ej+jYYudJE9MACLkDDP4iFETp68VGQoq9KpusQcZhkasQ5usTRDTk8oCem+Ug6uSKc7/ffspRlEBimhgLUCq/+46DoIB8S2rijVu0dGGhkovQ67JcxhZQkGV4Z2E7BT3CLHwfUK7RwNIJTSYHRLYGiA4tFhJJ6S0lq+VAWWLCq4toIa1nje33dFxTtHgHUO+98v+ryF/D4EZRjWkg6u2HtVq2qQUmQOsz2ORBvW4mJ/WT1yaktIFGSsw1DAh1BmfeVjaWRoNwEHLTW0c6QhC/Qh7VQo2gGKM0fWTVElcWM2rSZar2KPzq8RXYFVxIiZdL7gMZUq5ZdlWEvqaKQFKYUr1mTfq8KGlRp8OU5bZ4k5lLaX5hmXDO0mYH3e1VqHXqGdowGEmorimzJ9XfTiqQoVHldPNLtwRObJ6aYWTaSQyCNQlZ5WK2VYRW+ARdg/6pyIHlOpiiJqQIQ7bSXWoTzDWpjR6pH8XJUyrOJ1Y0EAxZ4tSc5k5n7lc9pkaDeBbKBW6hgfXcqvIQ21paIwk3UQ+5DWFTEW3TG5DhuQn3nolVR+WmoOZaXVam3NoRzmqKCDa1b2yUmrqTqH+QyryTpIY//UqnQyn/c8jiQhRBoLX2xcspijUmcvytofvEI7RwMIJdNq0iKLIhGrhBJwoG/+vv+4aCRLWQBRKC3IlqMNqSnybPVIEoKWcnBlRdLF2D9CiDT2z9Y6lJS+6o0n8/bQkhU80RRkvjnsjSeRMvsJqROk9EraS0tVZ+pSfg3pMPsc5TH2cqOdNEXdGekvMpZxrhpFdZF+NFQQLdwJKbL5WedQ9AaYncPCzJFoIajVwe3K6+DKed6LGYtoImUxrGLvV52NdSirKgzIn5ah97BWcJBSk7lX+eaQvmYY4tPuRfdSyZqjSDw/gyuLKfUK7RwNIBSLDGVGOzVF6HxZFRZA8Qjf3JQVMqw9sWwHXGl0fp4qOpnHAxTrdUQdOdHsX7F1aJ1X0SxNMdZB1jq09tDKx/51SZIC1BQp2DCZUsH9hNLjKsbgyqpWy/69fFV0soIUr9DO0QBCseod6yIXH+0UWdAxOSkZoHh5OjVsKrEO3VIj1sJzKCtdm/6bpR1c4XNYpAzcPL9McAECUNywyuqRk24SW9gR6YpIYnCLCLJlMiFF16GkvTTk9yHgK9xDSxb75xXaORpAoJtyLJlCNJFr8HvMiiLxm7IdKlgGc1SMDTENq3A6v5jwOVsVZhii57DwpiyzGqWYMylrUza1f8oZ1vQ67CiqORK/Du3MoSwHt1gwIIMJqS2S7pM1h4Zh2LxfQaHj8grtHA0gWGn6vpS+1E25WKpIUnsBAKirzBiLXoU25cx9iCVS/Y4IkMnQ0I2tWMQqw7AWncOInE3ZWq1GSK7IuFtSmggo5XjLX4f5gic6h8I1R0X6emV1fzKZo2K6MQlzWCQApnuGjH3LC7RzNIDg91mPechljuRGOzaoYBmGNTOujiKbsuj7lZO/jyrk4BbdlDOGVcK46kw2JM+mLKs6M3OvUiTbTJTCmlYTDTuGVYYBM+ewj4ObTBFzfxCf3s4wNJH+Dm6XpB5HQHHdGJ1X0TpJIDuuvqxkLJFCNBPk1WrmSEMmTF1Bn1SRzGinqEBVkmgWKJxmyNmUBY8r4PeZeqK+G6BMB7cY60A35ToJc2g6uL25z7uVeRO9KVcG/aCZ635zKJN1KLIOs3Mo3oDVVeYPUqysjfiWGuk1mEgR07hTyDjAm6KYbqxTEssGWB3cPnNoLUDQzBE/PP/88zj00ENRWVmJ5uZmnHrqqTm/37hxI0466SRUV1ejubkZl112GWKxWM4177zzDqZNm4bKykoMHz4cN910U7/IoJxRSJQtN9oprHWgG6KUBV2Z37DmbMoyhOIF0pBdElmHuiLsX4fMTbkyf7pP5qZsGEbBflUq6FWKz6F456iQJpHeu6DfQDggpxM1UHgdqqYb65Q4h1kHN/+9qgz6hR5ozAJlIx9/6qmncN5552H+/Pn4xje+AUII3nnnHfP3yWQSJ5xwAgYPHozXXnsNO3bswOzZs0EIwcKFCwEAHR0dOPbYYzF9+nSsWbMGH374IebMmYPq6mpceeWVsr4aU9QUoM5VSKvlEz6bVLCMBV0gJUPvVXpTFr+gaysC2N4V7WfEeiSlGNJjKiwElTuH+VkH2ZtybTiAzkii3xzKOnQWKMX+yWQdaJCS37DKeN59PgM14QC6ouk5bK4Jm7/rljmHptNdbC9VhzmS1U6DBcpixIlEApdffjluv/12nHPOOebr48ePN/9/yZIleP/997Fp0ya0trYCAO68807MmTMHN998M+rq6vDII48gEonggQceQDgcxoQJE/Dhhx9iwYIFmDt3rvAKIB6oz0TS7QXoTZl6lUg8hXgylXNyO108UlIyBcS8XZHsvZLxTBRKFcmcwyydHwchJOe+SDWslWpuynWVQWxujxRch6IPDgasupD+hpXeP6lzWMDBlTaHFWnnqBCzLHMOVUurFWIlZfWLY4Gy4Ln+/e9/44svvoDP58MBBxyAYcOG4fjjj8d7771nXrNq1SpMmDDBdIwAYObMmYhGo3jzzTfNa6ZNm4ZwOJxzzebNm7Fhw4aCfz8ajaKjoyPnR1XUFXCOZFLB1sivb5oh6xzJoPPzG4tOiRErANRXhQAAuxWaQ3qv4sn+GgyZdH4hIajsxnOlghQZVWFWMW9fKYEKDG4/wyqp2pCi1F4qpbKvAIObShGzS7zctFrfeyWnTxULlIVz9OmnnwIA5s2bh5/97Gd47rnn0NjYiGnTpmHnzp0AgLa2NgwdOjTnfY2NjQiFQmhrayt4Df03vSYfbrnlFtTX15s/I0eOZPbdWKPQpkz/TX8vElaRcd8NUAUquPCmrJZhNZ0QSQ0zKVnU935J1Y0VoPPppqzcHMpMb2ecDEJyOxkTQkxjK4PBrS3AlMpmHRqq0verb5Aik6GhLFpPLJlzVEdXLGF2z1dpHXZK3ku9QKpzNG/ePBiGUfTnjTfeQCqVfgiuv/56/Nd//RemTJmCRYsWwTAM/OUvfzE/L18KpG8KoO81NIIqlj657rrr0N7ebv5s2rTJ0/fmCbop7+5RxzkCrCeC545LphC0UEpGdkfX+kwUVsjBrZMwhz6fYfZgskatqRSRer8KCbJlb8oqBikVwWwnYyuD2x3LHi0kdR0WEGTLqnIqNIcdEucwh4W3rEP6vIf8PlQI7p4PFF6HslOjXiB1xJdccgnOOOOMoteMGTMGnZ2dAID99tvPfD0cDmOPPfbAxo0bAQAtLS1YvXp1znt37dqFeDxuskMtLS39GKKtW7cCQD9GyYpwOJyTilMZDQUMvswFDaQN59bOaI6+hxAimTkqQAUrYlj7zqEKDm5nNJFjLLotEauUMvAConrZmzJlHVRah4ZhoK4yiJ3dMbT3xtFSXwEgy94GfAYqguLj5UJ9jkyWTcJzBZRehzKClFAgzcL3xpPo6E2gIZOCl7mPWv9uob20HDVHUkfc3NyM5ubmktdNmTIF4XAY69atwxFHHAEAiMfj2LBhA0aPHg0AOOyww3DzzTdjy5YtGDZsGIC0SDscDmPKlCnmNT/96U8Ri8UQCoXMa1pbWzFmzBgO31A8VIxYAaCxKgSgG7t7sq0VookU4sm0ZZUpIuyKJpBKEfNYFdmnSDdUpp9N1eawoSqEze2RnDm0RqyyKvuAPOyf5E1ZVQa3IeMc7cozh7UVkgoQKvNX2KoSpKjEHAFAY1UQve1J7OqJYdSgKgByU31AsfR2+TJHZaE5qqurwwUXXIAbbrgBS5Yswbp163DhhRcCAL773e8CAGbMmIH99tsPZ599NtauXYuXXnoJV111Fc477zzU1dUBAGbNmoVwOIw5c+bg3XffxdNPP4358+cPmEo1oNiCTuT8XjRoJL3LYixolGEY4k8oB7IbCSG552DJ1NAAVsOa26OrQ2LECgCN1f0NvvVeyTGsmQNC+2owJDu4JYOUKrnrMNfBlSfGBqzsX9+UjNx1SFmZdtUc3My4dqk0hwX6HMlOb3tB2Yz49ttvRyAQwNlnn43e3l4ceuihePnll9HY2AgA8Pv9eP7553HRRRdh6tSpqKysxKxZs3DHHXeYn1FfX4+lS5fi4osvxkEHHYTGxkbMnTsXc+fOlfW1mMM0rAqyDkDfBZ2N7kUfhgsAFUE/wgEfookUOiPxftE+HbNoFKqSkR2xFp1DyXQ+kHaI6BjpHMq6V4XmUPY6bDTn0OrgqjGHXdEEEsmU2ZeK3itZ7F+duZdmn3dCiPw5zBOkyF6Hhc5Wy56rVjauhomyGXEwGMQdd9yR4+z0xahRo/Dcc88V/ZyJEyfilVdeYT08ZVBqU6Yevmg05olYs71V5J25U1cZxLbOKHb3xDEi7WebY2yUFN2rmxrtz/7JjliDfh+qQn70xJJo7433c+AaFJrDVIpoBzcPrM+O1cGlz1lDtZwgJd8c9sSSSGTU6yrNoWwHl9qdSDyFaCJpdjRv76V7qZw59IKySKtp2Ee+BR1LpMwDMOUvaHWiHQBoyrPR7JLMHFGD3m4RqMaTKbP8WjbrkE9zJHMO6bh2dmfHRaNqWZuymZKxrMOuWMKsCpPt4FpTRbKDlFDAh+rMkTjW/UGdICW7Dul8BiyHfIsGLbpRKUipDQfgz7D/VkaLrklZc+gF2jkaYKCGNZZIIZJxiKwbtKzFU8ywyqhyomiqzmdY5UY72U05ZraasAodZfSiAfI7uLIjViD/HFJnl6YgRCNfpRN1SEIBOeXWANBYrR5zBABNNXQOo+Zru2Q7uPnm0ML8ydKp5ttLqaZU1hz6fIbpAO3oyhOkSGL/vEA7RwMMNRYPni5kq2jWL0HbA5RKycjflK0LOrspyzWs8SQxGT86lzXhgLQDHBtMTZZaqdFBeeZQtm6MzmFnRkcDyE+LAsULI2QGKYOq061Stnf1D1JUSo2qOocqjKtokKLTahqyYRiGySxQA6HCwsmXJ9+twLgGFVnQsgxrVchvNuujc6fCHFIWJicFmblvgyRGhnRT3qHQpmxl98wgRYU5zMM67OySP4d91yEhRHpqlM5TVzSBeB8HV1bFKFBgDjOM26Aaef34qIO7IzOWVCorXtdpNQ0lQBfIjq70Q2ouaImRYb4KCzq+5lp1FnQimTLTDLIWtGEYWYOfMVwqbMqmg9ttmUPqHNWoYFjTcxhNJNGT0WfJmsOA32dG+NTgq+Dg5mMdsnMobx32ZR06owlT+CzNwa0Mmkz7LoXmMF+QQveJZplBSh8GtyMSNzV2sgJNL9DO0QDE4Mwmt7UzbSxUi1hTmRWzXYGIte+CtlLoMu/X4IzDuK0z18Gtl1RtCOSPWLdnHFzqZMpAk+ngpsdFHXCfITcg6LsOVTCstMGodQ53mKyDRAfXDOgyc5hxwMMBHyolCZ/9PsPcm1TaS4sHKTIDzVwHlzrg1SE/QhIaxHpF+Y1YoySG1OUaVuqENEl0QmjEmiJZAahpWBVc0LUV8rQ9QH/nSIVNmbIw3bEkYol0moEaMzWYo1znqL4yKKV/FkVhB1c+67C7J26K/U3WQYE5pI6a7LQohZJzmKcSku6lMvf4vults1KtDMXYgHaOBiRoxLots2C2dkYAAEPrKqSNKRzwm+W6OzMbnwqbcl86X3alGsWQ2tw5pJtzs0RHsq4im2ag94saM5njGlTT18FVbA47+86hvHHRe5JIEbPCaYcS7F+fddhLBfVytSp9nSMV1iG9V13RBCLxdKBCA06pDm7mntD0tip7qVto52gAgi7orR2RzH/TDytllGSBOmdt7elxqWBY6Wayow9zJFtA2HcOv8zMYYtEB9fnM0yD/2VHBIQQJZijvvosc1OWHLEO7uPgtnXID1Iqgn7z2W7riKA3ljT7Z0mdw5oCc6iKg5uZwy8zc9hSLzNICZg9ltraI6ZDGfAZkisOc+cw2y+u/MTYgHaOBiTMtFo/5kiuc0RPAW/r6FXIsKbvSXtvHPFkyox6ZAsI+7J/XyrA/gHZOdzS3ouO3qxoViad31dUr5qDS9kGGqTIn8NKAMDm9l7znoUCPqnnXzVXU9YhY1jNlIwac9g3SBkicQ4Nw7Csw0hOSk1mGllVFt4ttHM0ADG4Jr1w6KZMF/TQWtmbcnZBt/fGlTCsDZaKlO1dUXyxO70JtjbIvVd086VzSNk22ezfMMscUsNaWxEwjwuQAepcR+IpdEUT5r0aLLEK0vr3aXCiioNL57CtPZJT5STz8O0mS2qUEGIKoGWyykARiYLkvXSYJUjZqYAYG8iy8NRZo2y8zP3dC7RzNABBDejWzlwqWBXD2tYeMUXidZINq89nYHhDOpLetLMXX+zqBQCMaKySNibAalijOf+VbVhb6tL3qq09Ym5+sg1YdThgUvef7+rB56rMoSVIIYSYTpvM1CiQG6SoYliH1IbhM4BYMoVtnVF8sZvOYaXUcQ2uzc5hLJEy9y3pLHxmHVqDFJlVv0CWkeyIJNAZiZvrUHag6RbaORqAoNHO7p442nvjplhPJhUMAMMonb87ku1xJHlTBoBRTWkjunFnD77Y3QMApsMkC2bE2hlFNJE0jZhs5yiHOVKgQoZidGYOP9vRg893pedQvmHNzmFHbwLRTIWf9CDF1P71WipG5c5h0O9Da2bNbdyZdXCHN8h1cK2BJmWPgn5DeqooJ9DsVIOhqQkHTActPYfpdThScpDiFto5GoBoqAoinOkrsXbjLgBAZdCPWomaAsCyoDt68aUitDkAjKTO0Y5uM2IdLtmw0k25J5bEx1u7AAAhv0+6jqbFsilTAyY7igayc7hpp5U5kjuHlCHa1RPHp9vTc9hQFZR2rhqFlTnaROdQcpoIAEYPUs/BpYLstvYI2tp7M69VSNX2ALlz+NnObgDAyCa59yo9hv7rkL5WbtDO0QCEYRjYa2gNAODVj7YDSBtbmZoCINewfpIx+GObq2UOCUB2U16/owdbMpoj2ZtyVSiA1sz9+ufH6swhdXA3t/fik23pOdxzcI3MIQHIsn+fbu82q8Jkp9Xqq4Ime/RaZh2q4IRQBte6Dvccos4cfryty9RJyl6HwxsqEQr4EE2k8OZn6UBTNvMH5AaaNHgap9A6/PDLLlMvKXsO3UI7RwMU44fWAQCe/b/NAIDRg+Q7IXRT3t4VwztftAOA6cTJBF3Qb2zYiUSKIOAzMEQBI7Z3Sy0A4KUPtgKQn1IDsg7ulx0RfLClEwAwTiHDumb9TiRTBCG/z0xNysTemef75XWZOayXP4fDMhqQL3b34sMv03OognNEGYbXP90BIM12y04VBfw+0/mn61C2ZgyAmYL8bEeP6RypMIc00Fz1SXoOa8MBqQ0zvUA7RwMU41vSC4UKeQ8Y2SBxNGk0VgVNmvrl/6Q3GhUWNDWsWzKC2WENFWYFm0yMH5p2jlav3wkA+FprnczhAABa6yvRUBVEPEnw1qbdABSZw8ym/FHGULQ2yE99AMDemTlcu3E3AGCCAnM4uqkKNeEAemJJ836pMIejm9IBHL1XwxsrpTOlADC+JXcdThheL3M4ANLzVRn0ozOSMEXiKjBH1MFdlXFwVZlDN9DO0QAF3ZQpJo9qkDMQCwzDwEFjGnNe6ztOGRjbXI2Q5aiQiQpsfkD/ezNldGOBK8XB5zMwZVR2HIahxqbcdwwqGHug/xwePKZJ0kiyCPh9OMCyH1QEfdILEIAs62D+WxGtSt85PHCU/HUY7DOHw+orUC1ZUwr0n7Ny1RsB2jkasNhvWG6EOnlEg5yB9MGU0VnjUB3ym7lzmagOB3Ds14aa/z5l8nCJo8mCRqwUBylgWIHccYxorJQuMAbSKcdDLOM6aVKrxNFk0XcOVTCsAHCQZR2OG1yjBMu277C6HCdt5oQWiaPJgrLwFJMVYOGB3HXY9zmThQNGNeYUjUzbe7DE0XiDdo4GKIbUVeDGb38NAZ+BA0c1SD9KgeIgC/sx42stylCuZ399NIB0FH30+CGSR5PGfsPqzI14eEOlEtE9ABwyNjuH9L6pgO8cmHVqZ35NDcM6eUQDDttjEIC08a9X5CiFQ/fIGtYfHbWHxJFk4fcZON7iEH1r4jCJo8ni8HHNZnHEpJENqAzJDwYA4Mi9mgGkS+jnHru35NGkEQr4chyikyerEaS4gUHo0cwattHR0YH6+nq0t7ejrk6+hqAYtndFURMOKBHdAwAhBLf8739QVxHAj44ah1BAHf/8xfe/RGtDJfZTQBdCEYkn8eDKDZg8sgGHZoysbBBC8IdXPsXIxiqcsL8aBgwAEskUfvPSR9h/RAO+ud/Q0m8QhFgihb+8uQlTRjdinxY1ni1CCB7910bsObhGmecKSHfIvvSxf+OYfYbih0eMlT0cE52ROB5cuQFHjx+ihOaI4rWPtmPckGqz2EUFbNrZgx8+sAb/NWUELpg2TvZw+sGu/dbOkQuUk3OkoaGhoaGhkYZd+61O2K6hoaGhoaGhoQC0c6ShoaGhoaGhYYF2jjQ0NDQ0NDQ0LNDOkYaGhoaGhoaGBdo50tDQ0NDQ0NCwQDtHGhoaGhoaGhoWaOdIQ0NDQ0NDQ8MC7RxpaGhoaGhoaFignSMNDQ0NDQ0NDQu0c6ShoaGhoaGhYYF2jjQ0NDQ0NDQ0LNDOkYaGhoaGhoaGBdo50tDQ0NDQ0NCwQDtHGhoaGhoaGhoWBGQPoBxBCAEAdHR0SB6JhoaGhoaGhl1Qu03teCFo58gFOjs7AQAjR46UPBINDQ0NDQ0Np+js7ER9fX3B3xuklPuk0Q+pVAqbN29GbW0tDMNg9rkdHR0YOXIkNm3ahLq6OmafqxIG+ncc6N8PGPjfUX+/8sdA/44D/fsB/L4jIQSdnZ1obW2Fz1dYWaSZIxfw+XwYMWIEt8+vq6sbsA88xUD/jgP9+wED/zvq71f+GOjfcaB/P4DPdyzGGFFoQbaGhoaGhoaGhgXaOdLQ0NDQ0NDQsEA7RwohHA7jhhtuQDgclj0Ubhjo33Ggfz9g4H9H/f3KHwP9Ow707wfI/45akK2hoaGhoaGhYYFmjjQ0NDQ0NDQ0LNDOkYaGhoaGhoaGBdo50tDQ0NDQ0NCwQDtHGhoaGhoaGhoWaOdIMH7/+99j7NixqKiowJQpU/Dqq68WvX7FihWYMmUKKioqsMcee+Cee+4RNFJnuOWWW3DwwQejtrYWQ4YMwSmnnIJ169YVfc/y5cthGEa/n//85z+CRu0M8+bN6zfWlpaWou8pl/mjGDNmTN45ufjii/Ner/ocvvLKKzjppJPQ2toKwzDwzDPP5PyeEIJ58+ahtbUVlZWVOProo/Hee++V/NynnnoK++23H8LhMPbbbz88/fTTnL5BaRT7jvF4HNdccw0mTpyI6upqtLa24vvf/z42b95c9DMfeOCBvPMaiUQ4f5v+KDWHc+bM6TfOr3/96yU/V5U5LPX98s2DYRi4/fbbC36mSvNnxzaouA61cyQQTzzxBK644gpcf/31WLt2LY488kgcf/zx2LhxY97r169fj29961s48sgjsXbtWvz0pz/FZZddhqeeekrwyEtjxYoVuPjii/H6669j6dKlSCQSmDFjBrq7u0u+d926ddiyZYv5s9deewkYsTt87WtfyxnrO++8U/Dacpo/ijVr1uR8v6VLlwIAvvvd7xZ9n6pz2N3djUmTJuG3v/1t3t/fdtttWLBgAX77299izZo1aGlpwbHHHmuen5gPq1atwumnn46zzz4b//d//4ezzz4bp512GlavXs3raxRFse/Y09ODf//73/j5z3+Of//731i8eDE+/PBDfPvb3y75uXV1dTlzumXLFlRUVPD4CkVRag4B4LjjjssZ59///vein6nSHJb6fn3n4E9/+hMMw8B//dd/Ff1cVebPjm1Qch0SDWE45JBDyAUXXJDz2j777EOuvfbavNdfffXVZJ999sl57fzzzydf//rXuY2RFbZu3UoAkBUrVhS8ZtmyZQQA2bVrl7iBecANN9xAJk2aZPv6cp4/issvv5yMGzeOpFKpvL8vpzkEQJ5++mnz36lUirS0tJBbb73VfC0SiZD6+npyzz33FPyc0047jRx33HE5r82cOZOcccYZzMfsFH2/Yz7861//IgDIZ599VvCaRYsWkfr6eraDY4B832/27Nnk5JNPdvQ5qs6hnfk7+eSTyTe+8Y2i16g6f4T0tw2qrkPNHAlCLBbDm2++iRkzZuS8PmPGDKxcuTLve1atWtXv+pkzZ+KNN95APB7nNlYWaG9vBwA0NTWVvPaAAw7AsGHDcMwxx2DZsmW8h+YJH330EVpbWzF27FicccYZ+PTTTwteW87zB6Sf2Ycffhg//OEPSx6wXE5zSLF+/Xq0tbXlzFE4HMa0adMKrkmg8LwWe49KaG9vh2EYaGhoKHpdV1cXRo8ejREjRuDEE0/E2rVrxQzQBZYvX44hQ4Zg7733xnnnnYetW7cWvb5c5/DLL7/E888/j3POOafktarOX1/boOo61M6RIGzfvh3JZBJDhw7NeX3o0KFoa2vL+562tra81ycSCWzfvp3bWL2CEIK5c+fiiCOOwIQJEwpeN2zYMNx777146qmnsHjxYowfPx7HHHMMXnnlFYGjtY9DDz0Uf/7zn/GPf/wD9913H9ra2nD44Ydjx44dea8v1/mjeOaZZ7B7927MmTOn4DXlNodW0HXnZE3S9zl9jyqIRCK49tprMWvWrKKHee6zzz544IEH8Le//Q2PPfYYKioqMHXqVHz00UcCR2sPxx9/PB555BG8/PLLuPPOO7FmzRp84xvfQDQaLfiecp3DBx98ELW1tTj11FOLXqfq/OWzDaquwwCTT9Gwjb4ROCGkaFSe7/p8r6uESy65BG+//TZee+21oteNHz8e48ePN/992GGHYdOmTbjjjjtw1FFH8R6mYxx//PHm/0+cOBGHHXYYxo0bhwcffBBz587N+55ynD+K+++/H8cffzxaW1sLXlNuc5gPTtek2/fIRjwexxlnnIFUKoXf//73Ra/9+te/niNqnjp1Kg488EAsXLgQv/nNb3gP1RFOP/108/8nTJiAgw46CKNHj8bzzz9f1Ikoxzn805/+hLPOOqukdkjV+StmG1Rbh5o5EoTm5mb4/f5+Xu3WrVv7eb8ULS0tea8PBAIYNGgQt7F6waWXXoq//e1vWLZsGUaMGOH4/V//+telRzd2UV1djYkTJxYcbznOH8Vnn32GF198Eeeee67j95bLHNJKQydrkr7P6XtkIx6P47TTTsP69euxdOnSoqxRPvh8Phx88MFlMa/Dhg3D6NGji461HOfw1Vdfxbp161ytSRXmr5BtUHUdaudIEEKhEKZMmWJW/1AsXboUhx9+eN73HHbYYf2uX7JkCQ466CAEg0FuY3UDQgguueQSLF68GC+//DLGjh3r6nPWrl2LYcOGMR4dH0SjUXzwwQcFx1tO89cXixYtwpAhQ3DCCSc4fm+5zOHYsWPR0tKSM0exWAwrVqwouCaBwvNa7D0yQR2jjz76CC+++KIrx5wQgrfeeqss5nXHjh3YtGlT0bGW2xwCaSZ3ypQpmDRpkuP3ypy/UrZB2XXIRNatYQuPP/44CQaD5P777yfvv/8+ueKKK0h1dTXZsGEDIYSQa6+9lpx99tnm9Z9++impqqoiP/7xj8n7779P7r//fhIMBsmTTz4p6ysUxIUXXkjq6+vJ8uXLyZYtW8yfnp4e85q+3+/Xv/41efrpp8mHH35I3n33XXLttdcSAOSpp56S8RVK4sorryTLly8nn376KXn99dfJiSeeSGprawfE/FmRTCbJqFGjyDXXXNPvd+U2h52dnWTt2rVk7dq1BABZsGABWbt2rVmpdeutt5L6+nqyePFi8s4775AzzzyTDBs2jHR0dJifcfbZZ+dUlP7zn/8kfr+f3HrrreSDDz4gt956KwkEAuT1118X/v0IKf4d4/E4+fa3v01GjBhB3nrrrZy1GY1Gzc/o+x3nzZtHXnjhBfLJJ5+QtWvXkh/84AckEAiQ1atXK/X9Ojs7yZVXXklWrlxJ1q9fT5YtW0YOO+wwMnz48LKZw1LPKCGEtLe3k6qqKnL33Xfn/QyV58+ObVBxHWrnSDB+97vfkdGjR5NQKEQOPPDAnFL32bNnk2nTpuVcv3z5cnLAAQeQUChExowZU3BxyAaAvD+LFi0yr+n7/X71q1+RcePGkYqKCtLY2EiOOOII8vzzz4sfvE2cfvrpZNiwYSQYDJLW1lZy6qmnkvfee8/8fTnPnxX/+Mc/CACybt26fr8rtzmkrQb6/syePZsQki4jvuGGG0hLSwsJh8PkqKOOIu+8807OZ0ybNs28nuIvf/kLGT9+PAkGg2SfffaR6gwW+47r168vuDaXLVtmfkbf73jFFVeQUaNGkVAoRAYPHkxmzJhBVq5cKf7LkeLfr6enh8yYMYMMHjyYBINBMmrUKDJ79myycePGnM9QeQ5LPaOEEPKHP/yBVFZWkt27d+f9DJXnz45tUHEdGpnBa2hoaGhoaGhoQGuONDQ0NDQ0NDRyoJ0jDQ0NDQ0NDQ0LtHOkoaGhoaGhoWGBdo40NDQ0NDQ0NCzQzpGGhoaGhoaGhgXaOdLQ0NDQ0NDQsEA7RxoaGhoaGhoaFmjnSENDo+wxb948TJ48WfjfXb58OQzDgGEYOOWUU2y9Z968eeZ77rrrLq7j09DQcAftHGloaCgN6kgU+pkzZw6uuuoqvPTSS9LGuG7dOjzwwAO2rr3qqquwZcsWVwcza2hoiEFA9gA0NDQ0imHLli3m/z/xxBP4//6//w/r1q0zX6usrERNTQ1qampkDA8AMGTIEDQ0NNi6lo7V7/fzHZSGhoZraOZIQ0NDabS0tJg/9fX1MAyj32t902pz5szBKaecgvnz52Po0KFoaGjAjTfeiEQigZ/85CdoamrCiBEj8Kc//Snnb33xxRc4/fTT0djYiEGDBuHkk0/Ghg0bHI/5ySefxMSJE1FZWYlBgwbhm9/8Jrq7uz3eCQ0NDVHQzpGGhsaAxMsvv4zNmzfjlVdewYIFCzBv3jyceOKJaGxsxOrVq3HBBRfgggsuwKZNmwAAPT09mD59OmpqavDKK6/gtddeQ01NDY477jjEYjHbf3fLli0488wz8cMf/hAffPABli9fjlNPPRX6GEsNjfKBdo40NDQGJJqamvCb3/wG48ePxw9/+EOMHz8ePT09+OlPf4q99toL1113HUKhEP75z38CAB5//HH4fD788Y9/xMSJE7Hvvvti0aJF2LhxI5YvX277727ZsgWJRAKnnnoqxowZg4kTJ+Kiiy6SmvbT0NBwBq050tDQGJD42te+Bp8vG/8NHToUEyZMMP/t9/sxaNAgbN26FQDw5ptv4uOPP0ZtbW3O50QiEXzyySe2/+6kSZNwzDHHYOLEiZg5cyZmzJiB//f//h8aGxs9fiMNDQ1R0M6RhobGgEQwGMz5t2EYeV9LpVIAgFQqhSlTpuCRRx7p91mDBw+2/Xf9fj+WLl2KlStXYsmSJVi4cCGuv/56rF69GmPHjnXxTTQ0NERDp9U0NDQ0ABx44IH46KOPMGTIEOy55545P/X19Y4+yzAMTJ06FTfeeCPWrl2LUCiEp59+mtPINTQ0WEM7RxoaGhoAzjrrLDQ3N+Pkk0/Gq6++ivXr12PFihW4/PLL8fnnn9v+nNWrV2P+/Pl44403sHHjRixevBjbtm3Dvvvuy3H0GhoaLKHTahoaGhoAqqqq8Morr+Caa67Bqaeeis7OTgwfPhzHHHMM6urqbH9OXV0dXnnlFdx1113o6OjA6NGjceedd+L444/nOHoNDQ2WMIiuL9XQ0NBwheXLl2P69OnYtWuX7SaQFGPGjMEVV1yBK664gsvYNDQ03EOn1TQ0NDQ8YsSIETjzzDNtXTt//nzU1NRg48aNnEeloaHhFpo50tDQ0HCJ3t5efPHFFwDSx4K0tLSUfM/OnTuxc+dOAOkqOKdibw0NDf7QzpGGhoaGhoaGhgU6raahoaGhoaGhYYF2jjQ0NDQ0NDQ0LNDOkYaGhoaGhoaGBdo50tDQ0NDQ0NCwQDtHGhoaGhoaGhoWaOdIQ0NDQ0NDQ8MC7RxpaGhoaGhoaFignSMNDQ0NDQ0NDQu0c6ShoaGhoaGhYcH/D20AyR2tb6TnAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "plt.figure()\n", "pto_tdom['power'].loc['mech',:,:].plot()" @@ -383,9 +611,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
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", 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<xarray.Dataset> Size: 28kB\n",
+       "Dimensions:  (time: 500, dof: 1, type: 2)\n",
+       "Coordinates:\n",
+       "  * time     (time) float64 4kB 0.0 0.04 0.08 0.12 ... 19.84 19.88 19.92 19.96\n",
+       "  * dof      (dof) <U9 36B 'PTO_Heave'\n",
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+       "Data variables:\n",
+       "    pos      (time, dof) float64 4kB 0.08715 0.09581 0.1049 ... 0.07171 0.07909\n",
+       "    vel      (time, dof) float64 4kB 0.2094 0.2226 0.2315 ... 0.1759 0.1933\n",
+       "    acc      (time, dof) float64 4kB 0.3734 0.2815 0.1571 ... 0.4354 0.4261\n",
+       "    force    (time, dof) float64 4kB 1.756e+03 1.854e+03 ... 1.44e+03 1.619e+03\n",
+       "    power    (type, time, dof) float64 8kB 367.7 412.8 444.5 ... 253.3 313.0\n",
+       "Attributes:\n",
+       "    time_created_utc:  2024-04-26 01:39:54.105057
" + ], + "text/plain": [ + " Size: 28kB\n", + "Dimensions: (time: 500, dof: 1, type: 2)\n", + "Coordinates:\n", + " * time (time) float64 4kB 0.0 0.04 0.08 0.12 ... 19.84 19.88 19.92 19.96\n", + " * dof (dof) " + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "plt.figure()\n", "wec_tdom_2['pos'].plot(label='constrained')\n", @@ -648,9 +1609,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "r1 = 0.88\n", "r2_0 = 0.35\n", @@ -686,7 +1658,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -804,7 +1776,95 @@ "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "r2 = 0.05:\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\jorge\\miniforge3\\lib\\site-packages\\capytaine\\io\\xarray.py:68: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.\n", + " keys_in_dataset = set(dataset.dims.keys())\n", + "C:\\Users\\jorge\\Documents\\ragetechWEC\\WecOptTool\\wecopttool\\core.py:749: UserWarning: The `squeeze` kwarg to GroupBy is being removed.Pass .groupby(..., squeeze=False) to disable squeezing, which is the new default, and to silence this warning.\n", + " for realization, wave in waves.groupby('realization'):\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optimization terminated successfully (Exit mode 0)\n", + " Current function value: -0.2552451311036059\n", + " Iterations: 11\n", + " Function evaluations: 13\n", + " Gradient evaluations: 11\n", + "\n", + "r2 = 0.17:\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\jorge\\miniforge3\\lib\\site-packages\\capytaine\\io\\xarray.py:68: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.\n", + " keys_in_dataset = set(dataset.dims.keys())\n", + "C:\\Users\\jorge\\Documents\\ragetechWEC\\WecOptTool\\wecopttool\\core.py:749: UserWarning: The `squeeze` kwarg to GroupBy is being removed.Pass .groupby(..., squeeze=False) to disable squeezing, which is the new default, and to silence this warning.\n", + " for realization, wave in waves.groupby('realization'):\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optimization terminated successfully (Exit mode 0)\n", + " Current function value: -0.2552269884601699\n", + " Iterations: 11\n", + " Function evaluations: 12\n", + " Gradient evaluations: 11\n", + "\n", + "r2 = 0.29:\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\jorge\\miniforge3\\lib\\site-packages\\capytaine\\io\\xarray.py:68: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.\n", + " keys_in_dataset = set(dataset.dims.keys())\n", + "C:\\Users\\jorge\\Documents\\ragetechWEC\\WecOptTool\\wecopttool\\core.py:749: UserWarning: The `squeeze` kwarg to GroupBy is being removed.Pass .groupby(..., squeeze=False) to disable squeezing, which is the new default, and to silence this warning.\n", + " for realization, wave in waves.groupby('realization'):\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optimization terminated successfully (Exit mode 0)\n", + " Current function value: -0.25541791583955015\n", + " Iterations: 12\n", + " Function evaluations: 13\n", + " Gradient evaluations: 12\n", + "\n", + "r2 = 0.41:\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\jorge\\miniforge3\\lib\\site-packages\\capytaine\\io\\xarray.py:68: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.\n", + " keys_in_dataset = set(dataset.dims.keys())\n", + "C:\\Users\\jorge\\Documents\\ragetechWEC\\WecOptTool\\wecopttool\\core.py:749: UserWarning: The `squeeze` kwarg to GroupBy is being removed.Pass .groupby(..., squeeze=False) to disable squeezing, which is the new default, and to silence this warning.\n", + " for realization, wave in waves.groupby('realization'):\n" + ] + } + ], "source": [ "wot.set_loglevel(\"error\") # Suppress warnings\n", "\n", @@ -851,7 +1911,7 @@ ], "metadata": { "kernelspec": { - "display_name": "wot_dev", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -865,7 +1925,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.5" + "version": "3.10.13" }, "vscode": { "interpreter": { @@ -874,5 +1934,5 @@ } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/examples/tutorial_3_LUPA.ipynb b/examples/tutorial_3_LUPA.ipynb index 065ae977f..3aa792828 100644 --- a/examples/tutorial_3_LUPA.ipynb +++ b/examples/tutorial_3_LUPA.ipynb @@ -27,7 +27,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -62,7 +62,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -91,7 +91,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -128,7 +128,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -146,9 +146,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# show\n", "fig = plt.figure()\n", @@ -239,7 +271,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -294,7 +326,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -322,9 +354,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "(-0.49988418146689506, 0.49991177824025046)" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# show\n", "fig = plt.figure()\n", @@ -349,7 +402,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -376,9 +429,50 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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OHDjAs88+i7OzM3p6etjY2ODt7c0rr7zCypUrtfPmFsHa2pqjR48yf/58WrZsiZmZGQYGBtSsWZPnnnsOIyOjB76+PNvu4uLC+vXr8fb2xtjYuFC7p0+fjo+PD46Ojujr62NkZESjRo2YNWtWkVvZCSH+o1KUIkYwCyGEEEKIKkcydkIIIYQQ1YQEdkIIIYQQ1YQEdkIIIYQQ1YQEdkIIIYQQ1YQEdkIIIYQQ1YQEdkIIIYQQ1YQEdkIIIYQQ1YQEdkIIIYQQ1YQEdkIIIYQQ1YQEdkIIIYQQ1YQEdkIIIYQQ1YQEdkIIIYQQ1YQEdkIIIYQQ1YQEdkIIIYQQ1YQEdkIIIYQQ1YQEdkIIIYQQ1YQEdkIIIYQQ1YQEdkIIIYQQ1YQEdkIIIYQQ1YQEdkIIIYQQ1YQEdkIIIYQQ1YQEdkIIIYQQ1YQEdkIIIYQQ1YQEdqWgKAovv/wyNjY2qFQqrKysmDp1akU3SwghhBBCgwR2pbBz507WrFnDtm3biI6OxsvLS+t1dO3aVWvBYnh4OCqVipCQkHKtRwghhBCVi15FN6AquHr1Ks7OzrRv3x4APT1524QQQghR+UjGrgS+vr5MmTKFiIgIVCoV7u7uhcrEx8fzwgsvYG1tjYmJCf369ePy5cvq83FxcTz//PO4urpiYmKCt7c3P/30k0YdAQEBfP7556hUKlQqFeHh4Y/h7iAzM5OZM2dSo0YNTE1Nadu2Lfv27St127/55htq1KhBbm6uxnUHDRrE2LFj1c+3bt1Ky5YtMTIyonbt2syZM4fs7Oxyvz8hhBDiSSKBXQk+//xzPvzwQ1xdXYmOjiYwMLBQGV9fX06cOMGWLVs4cuQIiqLw1FNPkZWVBcC9e/do2bIl27Zt4+zZs7z88suMGTOGY8eOqevw8fFh/PjxREdHEx0djZub22O5vxdffJFDhw6xceNGTp8+zXPPPUffvn3VgWlJbX/uuee4c+cOe/fuVV8zPj6ev//+m1GjRgHw999/M3r0aF577TXOnz/PN998w5o1a5g7d+5juUchhBDiiaGIEi1ZskSpVauW+nmXLl2U119/XVEURbl06ZICKIcOHVKfv3PnjmJsbKz88ssvxV7zqaeeUqZPn17kNR9VWFiYAijGxsaKqampxkNHR0ddz5UrVxSVSqXcvHlT4/U9evRQZs2aVeq2Dxo0SHnppZfUz7/55hvFyclJyc7OVhRFUTp16qTMmzdP4xo//vij4uzs/Ki3KoQQQogCZLDYI7pw4QJ6enq0bdtWfczW1pb69etz4cIFAHJycliwYAE///wzN2/eJCMjg4yMDExNTcu1bT///DMNGzbUOJafRQM4efIkiqJQr149jTIZGRnY2tqWuu2jRo3i5Zdf5quvvsLQ0JD169czYsQIdHV1AQgKCiIwMFAjQ5eTk8O9e/dIS0vDxMRE6/cuhBBCPInKNbC7d+8eRkZG5VlFhVMUpdjjKpUKgEWLFrFkyRKWLl2Kt7c3pqamTJ06lczMzHJtm5ubG56enhrHjI2N1T/n5uaiq6tLUFCQOgjLZ2ZmVuq2Dxw4kNzcXLZv307r1q05cOAAixcv1qhnzpw5DB06tFAbq/vnQwghhHictB7Y5ebmMnfuXL7++mtu3brFpUuXqF27Nu+//z7u7u6MGzdO21VWqEaNGpGdnc2xY8fUs2bj4uK4dOmSOlt24MABBg8ezOjRo4G89+jy5csa2TQDAwNycnIea9ubN29OTk4OsbGxdOrUqcgypWm7sbExQ4cOZf369Vy5coV69erRsmVL9fkWLVoQGhpaKMgUQgghhHZpffLExx9/zJo1a1i4cCEGBgbq497e3nz77bfarq7C1a1bl8GDBzN+/HgOHjzIqVOnGD16NDVq1GDw4MEAeHp64u/vz+HDh7lw4QITJkwgJiZG4zru7u4cO3aM8PBw7ty5U2iWaXmoV68eo0aN4oUXXmDTpk2EhYURGBjIJ598wo4dO0rddsjrjt2+fTvff/+9OgjM98EHH/DDDz/g5+fHuXPnuHDhAj///DPvvfdeud+jEEII8STRemD3ww8/sHLlSkaNGqXRvdekSRMuXryo7eoqhdWrV9OyZUsGDBiAj48PiqKwY8cO9PX1AXj//fdp0aIFffr0oWvXrjg5OTFkyBCNa8yYMQNdXV0aNWqEvb09ERERj63tL7zwAtOnT6d+/foMGjSIY8eOqWfllqbtAN27d8fGxobQ0FBGjhypca5Pnz5s27YNf39/WrduTbt27Vi8eDG1atV6HLcohBBCPDFUSnGDxMrI2NiYixcvUqtWLczNzTl16hS1a9fm/PnztGnThpSUFG1WJ4QQQggh/qX1jF3jxo05cOBAoeO//vorzZs313Z1QgghhBDiX1qfPDF79mzGjBnDzZs3yc3NZdOmTYSGhvLDDz+wbds2bVdXbb3yyiusW7euyHOjR49+4Lmvv/66PJsmhBBCiEpK612xkLfTwLx58wgKCiI3N5cWLVrwwQcf0Lt3b21XVW3FxsaSlJRU5DkLC4sHnnNwcCjPpgkhhBCikiqXwE4IIYQQQjx+Wh9j9+KLL7J79+5iF+4VQgghhBDlQ+tj7OLi4ujfvz+2traMGDGC0aNHV+lJE7m5uURFRWFubq7eSUI8OkVRSE5OxsXFBR0drf99IYQQQjyRyqUrNiEhgV9++YUNGzZw4MAB6tevz+jRoxk5ciTu7u7arq5c3bhxQ72mm9C+yMhIXF1dK7oZQgghRLVQ7mPsbty4wU8//cT333/P5cuXyc7OLs/qtC4xMRErKysiIyOxsLCo6OZUG0lJSbi5uZGQkIClpWVFN0cIIYSoFrTeFVtQVlYWJ06cUG+V5ejoWJ7VlYv87lcLCwsJ7P51PjqRaZuC8HuqCe087B7pWtK9LYQQQmhPuQxu2rt3L+PHj8fR0ZGxY8dibm7O1q1biYyMLI/qxGP288nr/H0hmh+PX6vopgghhBCiAK1n7FxdXYmLi6NPnz588803DBw4ECMjI21XIypQakZed3p6Vk4Ft0QIIYQQBWk9sPvggw947rnnsLa21valRSVxLzsvoMvIzq3glgghhBCiIK0Hdi+//LK2LykqmXtZ+YGdZOyEEEKIyqRcJk8EBgby66+/EhERQWZmpsa5TZs2lUeV4jFKz5KMnRBCCFEZaX3yxMaNG+nQoQPnz59n8+bNZGVlcf78efbs2SPLWlQT+Rm7ezLGTgghhKhUtB7YzZs3jyVLlrBt2zYMDAz4/PPPuXDhAsOGDaNmzZrark5UgHTpihVCCCEqJa0HdlevXqV///4AGBoakpqaikql4o033mDlypXark5UAJk8IYQQQlROWg/sbGxsSE5OBqBGjRqcPXsWyNtmLC0tTdvViQpwT8bYCSGEEJWS1idPdOrUCX9/f7y9vRk2bBivv/46e/bswd/fnx49emi7OlEBpCtWCCGEqJy0nrFbvnw5I0aMAGDWrFnMmDGDW7duMXToUL777rtSX2fFihU0adJEvZWXj48Pf/31l/q8oij4+fnh4uKCsbExXbt25dy5cxrXyMjIYMqUKdjZ2WFqasqgQYO4ceOGdm70CSYZOyGEEKJyKpeuWBcXl7yL6+gwc+ZMtmzZwuLFix9q0WJXV1cWLFjAiRMnOHHiBN27d2fw4MHq4G3hwoUsXryY5cuXExgYiJOTE7169VJ3AwNMnTqVzZs3s3HjRg4ePEhKSgoDBgwgJ0cyTY9CMnZCCCFE5aRSFEXR9kWvXr3K6tWruXr1Kp9//jkODg7s3LkTNzc3GjduXObr2tjY8Omnn/LSSy/h4uLC1KlTeeutt4C87JyjoyOffPIJEyZMIDExEXt7e3788UeGDx8OQFRUFG5ubuzYsYM+ffqUqs6kpCQsLS1JTEzEwsKizG2vTpxm/c6t5HvYmhpy55Nny3QNeV+FEEII7dN6xi4gIABvb2+OHTvGpk2bSElJAeD06dPMnj27TNfMyclh48aNpKam4uPjQ1hYGDExMfTu3VtdxtDQkC5dunD48GEAgoKCyMrK0ijj4uKCl5eXukxRMjIySEpK0ngITf/NipWMnRBCCFGZaD2we/vtt/n444/x9/fHwMBAfbxbt24cOXLkoa515swZzMzMMDQ05JVXXmHz5s00atSImJgYABwdHTXKOzo6qs/FxMRgYGBQqPu3YJmizJ8/H0tLS/XDzc3todr8JJCdJ4QQQojKSeuB3ZkzZ3j66acLHbe3tycuLu6hrlW/fn1CQkI4evQor776KmPHjuX8+fPq8yqVSqO8oiiFjt2vpDKzZs0iMTFR/YiMjHyoNld3ubkKmf8GdFk5ueTmar0nXwghhBBlpPXAzsrKiujo6ELHg4ODqVGjxkNdy8DAAE9PT1q1asX8+fNp2rQpn3/+OU5OTgCFMm+xsbHqLJ6TkxOZmZnEx8cXW6YohoaG6pm4+Q/xn3v3db9Kd6wQQghReWg9sBs5ciRvvfUWMTExqFQqcnNzOXToEDNmzOCFF154pGsrikJGRgYeHh44OTnh7++vPpeZmUlAQADt27cHoGXLlujr62uUiY6O5uzZs+oy4uHdvz+sdMcKIYQQlYfWFyieO3cuvr6+1KhRA0VRaNSoETk5OYwcOZL33nuv1Nd555136NevH25ubiQnJ7Nx40b27dvHzp07UalUTJ06lXnz5lG3bl3q1q3LvHnzMDExYeTIkQBYWloybtw4pk+fjq2tLTY2NsyYMQNvb2969uyp7dt+YhQO7CRjJ4QQQlQWWg/s9PX1Wb9+PR9++CHBwcHk5ubSvHlz6tat+1DXuXXrFmPGjCE6OhpLS0uaNGnCzp076dWrFwAzZ84kPT2diRMnEh8fT9u2bdm1axfm5ubqayxZsgQ9PT2GDRtGeno6PXr0YM2aNejq6mr1np8k6ZKxE0IIISqtclnHrjqR9dY0nYtOwGvudvXzSx8MpK7Dw78v8r4KIYQQ2qe1jN20adNKVW7x4sXaqlJUgPRMydgJIYQQlZXWArvg4GCN5wcPHqRly5YYGxurj5W0FImo/GRWrBBCCFF5aS2w27t3r8Zzc3NzNmzYQO3atbVVhagEZFasEEIIUXlpfbkTUb0VnjwhGTshhBCispDArhwpikJ2TvXKaEnGTgghhKi8tL7cyZMoKyeXE9fjOBx2h6CIOC7eSuL63VQS0rPIVRR0dVQ4WxjjaW9Om1q2dK/nSPf6TujrVr24WjJ2QgghROWltcDu9OnTGs8VReHixYukpKRoHG/SpIm2qqxQKRlZ7DgXxaaQSLafu0lKRnaxZXNyFW4kpHEjIY19l2+x8J/zWJsYMKaNB5M61aOeY9VZ7uP+jN39z4UQQghRcbQW2DVr1gyVSkXBZfEGDBgAoD6uUqnIyam6gcDNhDSW7r3IkbA7BEbEkVmgG9LGxIBOng60qWWLt4sVHrZm2JoaYqCrQ3pWDjcT0zgfncjBa7fZfvYmt5Lv8cW+UJYFhPJ8S3fm9G+Cp735A2qvHArPipWuWCGEEKKy0FpgFxYWpq1LVVqKAp/tvqB+7mlvztCmbjzTzI1WNW3R0Sl+ORdXaxPautvxok8dcnJz+ediDMsCQtl+LooNJ8L5LSSCad0a8H4/b0wMKm8Puew8IYQQQlReWosgatWq9VDlJ06cyIcffoidnZ22mlDuXK1NeLNnQxo7WeHjYUddB/Myrc2nq6NDn0Yu9GnkwsnIu8z6M4RdF6NZ4H+eX4Mj+H50Ozp7OpbDHTw62StWCCGEqLwqbPT+unXrSEpKKvb8/Pnzad26Nebm5jg4ODBkyBBCQ0M1yiiKgp+fHy4uLhgbG9O1a1fOnTunUSYjI4MpU6ZgZ2eHqakpgwYN4saNG2Vu98IhLRjbrjb1HC20suByCzcbdk7qxp8vd8HVyoSrd1Lo+vk/zPozmMxKGDRJxk4IIYSovCossCtpi9qAgAAmTZrE0aNH8ff3Jzs7m969e5Oamqous3DhQhYvXszy5csJDAzEycmJXr16kZycrC4zdepUNm/ezMaNGzl48CApKSkMGDCgUo31U6lUDGriyrl3BzDOpw6KAgv8z9N5qT/X76aUfIHHSDJ2QgghROVVadfb2LlzJ76+vjRu3JimTZuyevVqIiIiCAoKAvICw6VLl/Luu+8ydOhQvLy8WLt2LWlpaWzYsAGAxMREvvvuOxYtWkTPnj1p3rw569at48yZM/zzzz8VeXtFsjDW59tR7fhtXCesjA04Fh5H8wV/sfN8VEU3TU3WsRNCCCEqr0ob2N0vMTERABsbGyBvskZMTAy9e/dWlzE0NKRLly4cPnwYgKCgILKysjTKuLi44OXlpS5zv4yMDJKSkjQej9szzWsS/HY/WteyJT4tk6dW7GXe32dLzHI+DrKOnRBCCFF5VYnATlEUpk2bRseOHfHy8gIgJiYGAEdHzUkGjo6O6nMxMTEYGBhgbW1dbJn7zZ8/H0tLS/XDzc1N27dTKu62ZhyY2osJHTxRFHh36ymGfX+QlIysCmlPvvzlTswM8+bdSMZOCCGEqDyqRGA3efJkTp8+zU8//VTo3P0TGPLXy3uQB5WZNWsWiYmJ6kdkZGTZG/6IDPV1+fr5tqwa2RZ9XR1+C46g/aJdXLuTXPKLy0l6Zl5gZ2msD0jGTgghhKhMKiywGz16NBYWJe+4MGXKFLZs2cLevXtxdXVVH3dycgIolHmLjY1VZ/GcnJzIzMwkPj6+2DL3MzQ0xMLCQuNR0f7X3pOA13viZGHEmagEWi/cye7QojOO5S0/Y2dpZABIxk4IIYSoTCossFu/fv0Dx68pisLkyZPZtGkTe/bswcPDQ+O8h4cHTk5O+Pv7q49lZmYSEBBA+/btAWjZsiX6+voaZaKjozl79qy6TFXhU9ueEzPzxt3dTcuk9/I9LN594bGPu8ufPGFloq/xXAghhBAVr9IudzJp0iTWrVvHhg0bMDc3JyYmhpiYGNLT04G8LtipU6cyb948Nm/ezNmzZ/H19cXExISRI0cCYGlpybhx45g+fTq7d+8mODiY0aNH4+3tTc+ePcv9HrWthpUJ+6f24oU2HuQqCtM3n+T51Yce67i7/MkT/2XsJLATQgghKotKu3fVihUrAOjatavG8dWrV+Pr6wvAzJkzSU9PZ+LEicTHx9O2bVt27dqFufl/e64uWbIEPT09hg0bRnp6Oj169GDNmjXo6uo+rlvRKiN9XdaM8aF1LVve+D2In09e53RUPL+N60wjZ8tyr1+dsVOPsZOuWCGEEKKyUCkVtIaGubk5p06donbt2hVRfaklJSVhaWlJYmJipRhvV9Chq7EM+/4gUYnpmBjo8uWw1oxtW1srO2IUx9PvT67eSeHVTnVZceAyvRo4sWtyj4e+TmV+X4UQQoiqqkrMihVF61DHgeC3n6JnfSfSMnN4cd1RRq45REJaZrnV+d/kCcnYCSGEEJWNBHZVnIO5EX9P6s7cgU3R1VGxMeg63vO2l9tuFfey8gI5KxMZYyeEEEJUNloP7CIiIoqcGKEoChEREernpV3uRJRMR0fFO328ODStN5725txISKPfV3t54YfDxCbf02pd6VnZgGTshBBCiMpI64Gdh4cHt2/fLnT87t27GkuWrFixAjs7O21X/0Rr625HyNtP8XrX+qhU8OPxMOp/uJUv9l0kK+fRAzBFUf7L2BlLxk4IIYSobLQe2BW3q0NKSgpGRkbark7cx9RQj6XPtuLo9D40d7UmIT2T138LovHH2/g5KJzc3LLPlcnKySX332yspcyKFUIIISodrS13Mm3aNCBvfbn3338fExMT9bmcnByOHTtGs2bNtFWdKEEbdzsCZ/blu8NXeXfbKS7fTmbE6kPM3nGGGT0aMrKVOyYGD/fPn5+tA7CUjJ0QQghR6WgtsAsODgbyMnZnzpzBwMBAfc7AwICmTZsyY8YMbVUnSkFXR4eXO9bl+VbuLNl7kSV7LhJ6K4nxG47x5uZgRrV2Z0wbD9rUsi3VEinhd1PUP1sY5e88IRk7IYQQorLQWmC3d+9eAF588UU+//xzmRhRiZgb6fNBP2+mdm3AqsNX+HL/JcLiUvhy/yW+3H8JN2sT+jVyoVtdR1rXsqW2nVmhQO9GfBpDV+0HoFs9R4z08xZ4loydEEIIUXlU2ALFVUV1XEg3JzeX3aG3WHvsGn+evkFqZrbGeWN9XdxtTbE1NURfV4e41AzORCWgKOBha8aR6b3JzMml5vt/oK+rQ+bnzz90G6rj+yqEEEJUtHLZUiwwMJBff/2ViIgIMjM1F8vdtGlTeVQpHoKujg69GzrTu6Ez6ZnZ7A6NYfelWxy4EsuZ6ATSs3K4EJNU6HVt3W35YUx7HC2M1cuoZOXkkpuroKNTfrtdCCGEEKJ0tB7Ybdy4kRdeeIHevXvj7+9P7969uXz5MjExMTz99NPark48ImMDPQZ4uzLA2xXIC9Su303l+t1U4tMyycrJxcJIn2au1tSw+m9CjJHef3vtZubkYqTz33NFUYiIT+ViTBKXbydz5XYy1+6kcC0uhSVDW9KrofPju0EhhBDiCaL1wG7evHksWbKESZMmYW5uzueff46HhwcTJkzA2bn0X+j79+/n008/JSgoiOjoaDZv3syQIUPU5xVFYc6cOaxcuZL4+Hjatm3Ll19+SePGjdVlMjIymDFjBj/99BPp6en06NGDr776CldXV23ecrWir6uDp705nvbmDyxnqPffSjkZ2TncTc1gw4lwdl2M5vj1OBLTs4p83cVbSRLYCSGEEOVE6+vYXb16lf79+wNgaGhIamoqKpWKN954g5UrV5b6OqmpqTRt2pTly5cXeX7hwoUsXryY5cuXExgYiJOTE7169SI5OVldZurUqWzevJmNGzdy8OBBUlJSGDBgADk5MuD/URkUCOze+D2IOnO28OYfwfhfjCExPQt9XR0aOVkypIkrM3o0ZMXw1vw9qTvDWtSswFYLIYQQ1ZvWM3Y2Njbq4KpGjRqcPXsWb29vEhISSEtLK/V1+vXrR79+/Yo8pygKS5cu5d1332Xo0KEArF27FkdHRzZs2MCECRNITEzku+++48cff6Rnz54ArFu3Djc3N/755x/69OnziHf6ZFOpVBjo6ZCZncvqo9cA8PGwY3iLWnSp60AjJ0sMCnTXCiGEEKL8aT1j16lTJ/z9/QEYNmwYr7/+OuPHj+f555+nR48eWqkjLCyMmJgYevfurT5maGhIly5dOHz4MABBQUFkZWVplHFxccHLy0tdpigZGRkkJSVpPETRMgvsOvH1iDYcmtab17s1oJmrjQR1QgghRAXQesZu+fLl3LuXN2Ny1qxZ6Ovrc/DgQYYOHcr777+vlTpiYmIAcHR01Dju6OjI9evX1WUMDAywtrYuVCb/9UWZP38+c+bM0Uo7nxS1bEx5uYNnqRY5FkIIIUT5KZeu2Hw6OjrMnDmTmTNnarsagEKBRHH71D5MmVmzZqm3R4O89dbc3NweraHV1PMta3Hg6m32vd5TgjohhBCiEiiXdexycnL4448/uHDhAiqVikaNGjFo0CB0dbXTPefk5ATkZeUKzrSNjY1VZ/GcnJzIzMwkPj5eI2sXGxtL+/bti722oaEhhoaGWmlndbfhxY5k5+Sip6v1Hn0hhBBClIHWA7srV67Qv39/bty4Qf369VEUhUuXLuHm5sb27dupU6fOI9fh4eGBk5MT/v7+NG/eHIDMzEwCAgL45JNPAGjZsiX6+vr4+/szbNgwAKKjozl79iwLFy4sdV35G3PIWDvtyn8/ZeMTIYQQQnu0Hti99tpr1K5dmyNHjqi7ZePi4hg9ejSvvfYa27dvL9V1UlJSuHLlivp5WFgYISEh2NjYULNmTaZOncq8efOoW7cudevWZd68eZiYmDBy5EgALC0tGTduHNOnT8fW1hYbGxtmzJiBt7e3epZsaeTP8JXu2PKRnJyMpaVlRTdDCCGEqBa0vlesqakpR48exdvbW+P4qVOn6NChAykpKaW6zr59++jWrVuh42PHjmXNmjXqBYq/+eYbjQWKvby81GXv3bvHm2++yYYNGzQWKH6YIC03N5eoqCgURaFmzZpERkY+kXub5o811Nb9K4pCcnIyLi4u6OhIV64QQgihDVoP7GxsbNi2bVuhcWyHDh1i4MCB3L17V5vVPTZP+qb1T/r9CyGEEFWB1lMlAwYM4OWXX+bYsWMoioKiKBw9epRXXnmFQYMGabs6IYQQQgjxL60Hdl988QV16tTBx8cHIyMjjIyM6NChA56ennz++efark4IIYQQQvxL65MnrKys+PPPP7l8+TIXL15EURQaNWqEp6entqt6rAwNDZk9e/YTuxTKk37/QgghRFWg9TF2QgghhBCiYmglY1dwp4aSLF68WBtVCiGEEEKI+2glY2dtbY2Xlxd6enqoVKpiF51VqVTs2bPnUasTQgghhBBF0Epgp6OjQ0xMDA4ODtSuXZvAwEBsbW210T4hhBBCCFFKWpkVa21tTVhYGADh4eHk5uZq47JCCCGEEOIhaGWM3TPPPEPnzp1xcXFBpVLRqlUrdHV1iyx77do1bVQphBBCCCHuo5XAbuXKlQwdOpQrV67w2muvMX78eMzNzbVxaSGEEEIIUUpaX+7kxRdf5IsvvpDATgghhBDiMZN17IQQQgghqgmtbykmhBBCCCEqhgR2QoiHtm/fPlQqFQkJCYXOubu7s3Tp0sfeJiGEEBLYCfHEysrKqugmCCGE0DIJ7ISoJH777Te8vb0xNjbG1taWnj17kpqaiq+vL0OGDGHOnDk4ODhgYWHBhAkTyMzMVL92586ddOzYESsrK2xtbRkwYABXr15Vnw8PD0elUvHLL7/QtWtXjIyMWLdu3WO5r8TERF5++WV127t3786pU6fU569evcrgwYNxdHTEzMyM1q1b888//6jPz5o1i3bt2hW6bpMmTZg9e7b6+erVq2nYsCFGRkY0aNCAr776qnxvTAghKiEJ7ISoBKKjo3n++ed56aWXuHDhAvv27WPo0KHq7fl2797NhQsX2Lt3Lz/99BObN29mzpw56tenpqYybdo0AgMD2b17Nzo6Ojz99NOFFgt/6623eO2117hw4QJ9+vQp9/tSFIX+/fsTExPDjh07CAoKokWLFvTo0YO7d+8CkJKSwlNPPcU///xDcHAwffr0YeDAgURERAAwatQojh07phGonjt3jjNnzjBq1CgAVq1axbvvvsvcuXO5cOEC8+bN4/3332ft2rXlfo9CCFGpKEKIChcUFKQASnh4eKFzY8eOVWxsbJTU1FT1sRUrVihmZmZKTk5OkdeLjY1VAOXMmTOKoihKWFiYAihLly7VSnv37t2rAIqpqWmhh0qlUpYsWaIoiqLs3r1bsbCwUO7du6fx+jp16ijffPNNsddv1KiRsmzZMvXzJk2aKB9++KH6+axZs5TWrVurn7u5uSkbNmzQuMZHH32k+Pj4PMptCiFElSMZOyEqgaZNm9KjRw+8vb157rnnWLVqFfHx8RrnTUxM1M99fHxISUkhMjISyOvOHDlyJLVr18bCwgIPDw8AddYrX6tWrbTa7gMHDhASEqLxcHFxUZ8PCgoiJSUFW1tbzMzM1I+wsDB1Bi41NZWZM2fSqFEjrKysMDMz4+LFixptHzVqFOvXrwfysoA//fSTOlt3+/ZtIiMjGTdunEYdH3/8sUaWTwghngRa2XlCCPFodHV18ff35/Dhw+zatYtly5bx7rvvcuzYsQe+TqVSATBw4EDc3NxYtWoVLi4u5Obm4uXlpTEOD8DU1FSr7fbw8MDKykrjmJ7ef79WcnNzcXZ2Zt++fYVem/+6N998k7///pvPPvsMT09PjI2NefbZZzXaPnLkSN5++21OnjxJeno6kZGRjBgxQl0H5HXHtm3bVqOO4rY2FEKI6koCOyEqCZVKRYcOHejQoQMffPABtWrVYvPmzQCcOnWK9PR0jI2NATh69ChmZma4uroSFxfHhQsX+Oabb+jUqRMABw8erLD7KKhFixbExMSgp6eHu7t7kWUOHDiAr68vTz/9NJA35i48PFyjjKurK507d2b9+vWkp6fTs2dPHB0dAXB0dKRGjRpcu3ZNncUTQognlQR2QlQCx44dY/fu3fTu3RsHBweOHTvG7du3adiwIadPnyYzM5Nx48bx3nvvcf36dWbPns3kyZPR0dHB2toaW1tbVq5cibOzMxEREbz99tsVfUsA9OzZEx8fH4YMGcInn3xC/fr1iYqKYseOHQwZMoRWrVrh6enJpk2bGDhwICqVivfff7/QpA/I64718/MjMzOTJUuWaJzz8/Pjtddew8LCgn79+pGRkcGJEyeIj49n2rRpj+t2hRCiwmltjN2PP/5Ihw4dcHFx4fr16wAsXbqUP//8U1tVCFFtWVhYsH//fp566inq1avHe++9x6JFi+jXrx8APXr0oG7dunTu3Jlhw4YxcOBA/Pz8ANDR0WHjxo0EBQXh5eXFG2+8waefflqBd/MflUrFjh076Ny5My+99BL16tVjxIgRhIeHqzNuS5Yswdramvbt2zNw4ED69OlDixYtCl3rueeeIy4ujrS0NIYMGaJx7n//+x/ffvsta9aswdvbmy5durBmzRr1WEMhhHhSaGWv2BUrVvDBBx8wdepU5s6dy9mzZ6lduzZr1qxh7dq17N27VxttFeKJ5OvrS0JCAn/88UdFN0UIIUQlp5WM3bJly9TrSBUcrNyqVSvOnDmjjSqEEEIIIUQJtBLYhYWF0bx580LHDQ0NSU1N1UYVQggt69evn8byIAUfKpWq2HPz5s2r6KYLIYQohlYmT3h4eBASEkKtWrU0jv/11180atRIG1UI8cRas2ZNuVz322+/JT09vchzxsbGxZ6zsbEpl/YIIYR4dFoJ7N58800mTZrEvXv3UBSF48eP89NPPzF//ny+/fZbbVQhhNCyGjVqVHQThBBCaJlWJk9A3uKgH3/8sXol/Bo1auDn58e4ceO0cXkhhBBCCFECrQV2+e7cuUNubi4ODg7avKwQQgghhCiBVgK7OXPmMHr0aOrUqaONNlUqubm5REVFYW5urt6+STw6RVFITk7GxcUFHR3Zslg+Z+VDPmdCiCeNVgK7Jk2acO7cOVq3bs3o0aMZPnw49vb22mhfhbtx4wZubm4V3YxqKzIyEldX14puRoWTz1n5ks+ZEOJJobWu2HPnzrF+/Xo2btzIjRs36NmzJ6NHj2bIkCGYmJhoo4oKkZiYiJWVFZGRkVhYWFR0c6qNpKQk3NzcSEhIwNLSsqKbU+Hkc1Y+5HMmhHjSaH2MHcChQ4fYsGEDv/76K/fu3SMpKUnbVTw2SUlJWFpakpiYKF+495m78yxHwm6z3rcDlsYGD/VaeV81yftR2PvbTnEy8i5/vtwFPd2ydaPK+yqEeNKUy6ATU1NTjI2NMTAwICsrqzyqEJXAe9tOsf1cFM+vPlTRTWH+/Pm0bt0ac3NzHBwcGDJkCKGhoRplNm3aRJ8+fbCzs0OlUhESElLoOhkZGUyZMgU7OztMTU0ZNGgQN27cKLH+r776Cg8PD4yMjGjZsiUHDhzQ1q09sb7cf4kd56K4eKvq/mEohBCPm9YCu7CwMObOnUujRo1o1aoVJ0+exM/Pj5iYGG1VISqpv85HEXg9rkLbEBAQwKRJkzh69Cj+/v5kZ2fTu3dvjZ1PUlNT6dChAwsWLCj2OlOnTmXz5s1s3LiRgwcPkpKSwoABA8jJySn2NT///DNTp07l3XffJTg4mE6dOtGvXz8iIiK0eo9PmvSsvPf8Xlbx770QQghNWumK9fHx4fjx43h7ezNq1ChGjhxZbRY/la6c4hlN/YmM7FwATAx0eblDXfo2dKadh12JXbPl/b7evn0bBwcHAgIC6Ny5s8a58PBwPDw8CA4OplmzZurjiYmJ2Nvb8+OPPzJ8+HAAoqKicHNzY8eOHfTp06fIutq2bUuLFi1YsWKF+ljDhg0ZMmQI8+fPL1V75XOmSVEUdKZsAODgG73oUKdsyyfJ+yqEeNJoZeeJbt268e2339K4cWNtXE5UAYqiqIM6D1szwuJSWLr3Ikv3XkRPR0VnTwcGN3FloJcr7ramj30Jj8TERODhtr8KCgoiKyuL3r17q4+5uLjg5eXF4cOHiwzsMjMzCQoK4u2339Y43rt3bw4fPlxsXRkZGWRkZKifV+VxqOUh89/PFqD+nAkhhCiZVgI72RS8esrNVUjOyCInV8HaxEAjOMvK+e/L9uRb/TgcdpsNJ8I5GnaHq3dS2HPpFnsu3eL134JwMDeipZsNLdysGdqsJi3cynevUUVRmDZtGh07dsTLy6vUr4uJicHAwABra2uN446OjsUOKbhz5w45OTk4OjqW+jWQNyZwzpw5pW7bkya9QPdrRrZ0xQohRGlpJbCDvHW4tmzZQkREBJmZmRrnFi9erK1qhJZlZudwNPwOp28mEBaXQtK9LG4kpHHldgoR8anqzEkNK2OGNa/FhwOaYGaor5FFMdTT4anGNXiqcV73+5XbyWw5fYPNpyM5GnaH2OR7/HU+ir/OR+FmbVrugd3kyZM5ffo0Bw8e1Mr1FEUpMeN4//mSXjNr1iymTZumfp6/LIfIcy+7YGAnGTshhCgtrQR2u3fvZtCgQXh4eBAaGoqXlxfh4eEoikKLFi20UYXQsrTMbGb+Ecyao9dIzcwusfzNhHSW7L3IzcQ0Nr7YUSOLYqinq1HW096caT0aMq1HQ9Izszl1M4HgG3c5GXmXDrXLd+HqKVOmsGXLFvbv3//QC9I6OTmRmZlJfHy8RtYuNjaW9u3bF/kaOzs7dHV1C2XnYmNjC2XxCjI0NMTQ0PCh2vckuScZOyGEKBOtBHazZs1i+vTpfPjhh5ibm/P777/j4ODAqFGj6Nu3rzaqEFp0OTaJZ749wJmoBAAczY1o52GHp505Vib6OJobU9fenNp2ZjiYG5GrKGw9c4PRaw/zy8kIutW9zEDvvKBJT0eFjk7xmSljAz3aedjRzsOuXO9JURSmTJnC5s2b2bdvHx4eHg99jZYtW6Kvr4+/vz/Dhg0DIDo6mrNnz7Jw4cIiX2NgYEDLli3x9/fn6aefVh/39/dn8ODBZbsZcV9gJxk7IYQoLa0EdhcuXOCnn37Ku6CeHunp6ZiZmfHhhx8yePBgXn31VW1UI7Tgr3M3eX7NIRLTs3A0N2LtGB96NXB+YHAGMLylOzcT0pm++STvbD1F74bOQOFsXUWZNGkSGzZs4M8//8Tc3FydQbO0tMTY2BiAu3fvEhERQVRUFIB6nTsnJyecnJywtLRk3LhxTJ8+HVtbW2xsbJgxYwbe3t707NlTXVePHj14+umnmTx5MgDTpk1jzJgxtGrVCh8fH1auXElERASvvPLK43wLqpV0CeyEEKJMtBLYmZqaqmf4ubi4cPXqVfUM2Tt37mijCvEIFEXhRkIan+2+wBf78oKZ9rXt+G1cZ5wtjUt9nbFtazN980ni0zJJy8z74jXUqxwbq+cvNdK1a1eN46tXr8bX1xeALVu28OKLL6rPjRgxAoDZs2fj5+cHwJIlS9DT02PYsGGkp6fTo0cP1qxZg67ufwHs1atXNT7Xw4cPJy4ujg8//JDo6Gi8vLzYsWMHtWrVKoc7fTJIV6wQQpSNVgK7du3acejQIRo1akT//v2ZPn06Z86cYdOmTbRr104bVYgy2n/lFiPXHOJmQrr62Kud6rJkaEsM9R8u22ZUoHxCet4EmcqSsSvNcoy+vr7qIK84RkZGLFu2jGXLlhVbJjw8vNCxiRMnMnHixBLbIEpHJk8IIUTZaCWwW7x4MSkpKQD4+fmRkpLCzz//jKenJ0uWLNFGFaIM/jwdyfDvD5KRnYuejgpvFyvmD2pGn0YuZbqekf5/2bmEtH8DO/3KkbET1Ytk7IQQomy0EtjVrl1b/bOJiQlfffWVNi4rHsGV28k8v/oQGdm5DGniyrqxHTA1fLR/bl0dHfR1dcjKySXxXt4ewJUlYyeql4Jj7GRLMSGEKD2tpVsSEhL49ttvmTVrFnfv3gXg5MmT3Lx5U1tViFLKzVV4ad0R0rNy6F7Pkd/+1+mRg7p8+Vm7xPT8wE4ydkL7ZFasEEKUjVa+7U+fPk3Pnj2xtLQkPDyc8ePHY2Njw+bNm7l+/To//PCDNqoRpbTA/xwHrt7G1ECP70a1Q1dHe8GXkZ4uyWST+O8YOyPJ2IlycE9jSzHJ2AkhRGlp5Rt/2rRp+Pr6cvnyZYyMjNTH+/Xrx/79+7VRhSiFrJxc1hy9yrtbTwGw5JmWuNuaabUO438nUCRIxk6UI8nYCSFE2WglYxcYGMg333xT6HiNGjUeuF9mVZSRlUNsyj3crE0ruikaVhy4xIzNJ9XLkEzt1oDxHTy1Xk/+zNjESjYrVlQvslesEEKUjVYCOyMjI5KSkgodDw0Nxd6+fLeQepzO3Ixn2PcHMTPU48j0PujpVo5s1aGrsUz+5QS5ioKlsT4vtKnNZ083L5e61IHdPcnYifIjGTshhCgbrXwrDx48mA8//JCsrLwve5VKRUREBG+//TbPPPOMNqqoFOzNjYhJuseJiLt8/u9CvxUtMT2TUWsPk6sojGzlzt1PnuOL51ppdVxdQflj6irbOnaietFcx04ydkIIUVpa+fb/7LPPuH37Ng4ODqSnp9OlSxc8PT0xNzdn7ty52qiiUnCyMFZnwt7fdoqjYXfUC+NmZucQn5bx2Nv07tZTXL+bSm07M1YMb1Pi1mCPyljdFSsZO1F+JGMnhBBlo5WuWAsLCw4ePMiePXs4efIkubm5tGjRQmN/TW0KDw/no48+Ys+ePcTExODi4sLo0aN59913MTAwUJeLiIhg0qRJ7NmzB2NjY0aOHMlnn32mUeZhveRTh/Unwtl76RY+i/7Gw9YMT3szAq/fJSE9k5Gt3FnyTEsczI1KvtgjOnE9jq8OXAJg1fNtsTDWL/c6jQoFdpKxE9onCxQLIUTZaGdxs391796d7t27a/OSRbp48SK5ubl88803eHp6cvbsWcaPH09qaiqfffYZADk5OfTv3x97e3sOHjxIXFwcY8eORVGUB24XVRKVSsX6sR14/bcTbDlzg7C4FMLiUtTnN5wIx/9iND+/1JFu9Zwe+V6Lc/BqLGN/PIKiwKjW7nSvX351FWSkf39XrGTshPalS8ZOCCHK5JECuy+++KJU5V577bVHqaaQvn370rdvX/Xz2rVrExoayooVK9SB3a5duzh//jyRkZG4uORtobVo0SJ8fX2ZO3cuFhYWZa7f2dKYX8Z1IjE9k6CIu1y9k0I9B3OM9HUZv+EYZ6IS6LV8D8+3rMXYtrXpUd8JlUo7XaQJaZnM2hLC1wcvA+BqZcJnT7fQyrVLo1BX7EPuNysqVlxKBj8FhRNwJRZvFysaOFoQk5TOU41r4GlvXtHNU5MxdkIIUTaPFNjdvw9sZGQkzs7O6On9d1mVSqX1wK4oiYmJ2NjYqJ8fOXIELy8vdVAH0KdPHzIyMggKCqJbt25FXicjI4OMjP/GyhU12zefpbEB3es70b3+f8eOzujDqxuP88PxMNYFhrMuMJyGThYseroF/RrXeIQ7zAvqWnzylzpDOM6nDp8+3RxrE8NHuu7DyJ88kZqZDUjGrqqIjE9l7s6zrD0epu7m/C04Qn1+xYHLnH23f7lNunlYMsZOCCHK5pECu7CwMI3n5ubmBAQEaOwd+zhcvXqVZcuWsWjRIvWxmJgYHB0dNcpZW1tjYGDwwLX15s+fz5w5c8rcFhMDPda+0J6Jneux9tg11gWGcSEmiSGr9rNrUne61HUs+SLF+GD7acLiUqhpbcLaMe3pWq/s1yoro/sydDLGrvLbHRrD8O8PEpea9wdL0xrWPN3UldM3E4hJTudMVAIXbyXxx6kbeLtYYWaoh4uVSYW2WcbYCSFE2VSOP8//5efnh0qleuDjxIkTGq+Jioqib9++PPfcc/zvf//TOFdU96eiKA/sFp01axaJiYnqR2RkZJnupa27HV8Nb8ONj4YytKkbmdm5DFm5n+DIu2W63rHwO3y5P2+ixPejfSokqIP/umLzyZZilVd6ZjZv/RFM7+V7iEvNoIWbDQFTexL8dj9mP9WE38d35tC0Pkzt2gCAV38+ToOPt9Jo7jZCbxWfqX4sbZeMnRBClIlWJ088qsmTJzNixIgHlnF3d1f/HBUVRbdu3fDx8WHlypUa5ZycnDh27JjGsfj4eLKysgpl8goyNDTE0FB7XZsWxvqsG9ueXsv3cOjabbp+/g/v9fUiV1F4oU1tnC2NH/j6A1dieXdrCAeu3gbgueY16fGYJkoUpXDGrlL9bSD+pSgK/b7aS8CVWABebFebL4e1xtig8H/517s2YPGei9xOycvoJaZnMeibfRyb0Rcrk7LPIH8UBcfYFczeCSGEeLBKFdjZ2dlhZ2dXqrI3b96kW7dutGzZktWrV6Nz39ggHx8f5s6dS3R0NM7OzkDehApDQ0Natmyp9bY/iLGBHttf7crgbwIIuBLLzD+CAfjxeBgH3+hNSkY2jhZG6OvqkJCWiZ6uCiM9XV79+TjfHr4KgEoFfRu6sOy5Vo+17feTrtiq4cDVWAKuxGKsr8vPL3VkoLdrsWVtzQxZNLQFX+wL5fWu9fn477Ncik3mg+2n+aKCPm/3sv7L0knGTgghSu+RArv7JxaoVCpSUlIKHX+UGahFiYqKomvXrtSsWVO9OHI+J6e8bFbv3r1p1KgRY8aM4dNPP+Xu3bvMmDGD8ePHa709pWFpbMDOSd3x23Gai7eSOBZ+h3PRibjP/oPE9Cy8XayY2Kkub/4RjI5KRTNXa/ZfiUVHpeLlDp6819eLGhU87gnA6L4MnWTsKo/UjGy+PXwFR3Mjfj+VN4RgdGuPBwZ1+SZ0rMuEjnUBqGljSr+v9vLD8WssGNwMkyKyfOVNxtgJIUTZPNJvbCsrK43xaoqi0Lx5c43nKpWKnBzt/mLetWsXV65c4cqVK7i6an5p5e8Eoaury/bt25k4cSIdOnTQWKC4ohjp67JgcN77E3LjLp2W+KuXDTkTlcCrPweqy+6/Eouejorf/teJwU3cKqS9RTHW1/zISMaucth7KYZRaw4TnZSucXxyl3oPfa3eDZzxsDUjLC6F34IjeKHt450MBTLGTgghyuqRAru9e/dqqx0PxdfXF19f3xLL1axZk23btpV/g8qgmasNR6b34UJMIo2cLXlp3VGOX4/jta71ae5qzfrAcN7o3oCnHnGJFG2TMXblLzE9k2mbTvLJ4GbYmZW8g0lObi4vrT9KdFI6NayMiU68R66i0NnTgSY1rB+6fh0dFf9rX4d3t55iWUAotWxMaV3L9rFm7gpm7LJycsnNVcp9uzwhhKgOHuk3dZcuXR6q/IIFC3jllVewsrJ6lGqrDS8XK7xcrAA4PL030Yn3cLXO6271bVenAltWPCP9+7piZYFirRv74xH+PH2Dk5F32T2lBzameZN5FEVh7bFr2JkaMqBA9+ofp24QHpeKrakhoe8P4lj4HVYdvsK7fbzK3IYX29Xhg+2nORFxl66f/0OP+k74T+6utYW2S3Lvvu7XzJxcjHTksyaEECV5rOmWefPmcfdu2Zb7qO50dXTUQV1lVrgrVjJ22rZgUDMczY0IuRFPny/3kPRvd/3PQdd5cd1Rhqzaz/noRF7deJz2i/7m/e2nAHiloyemhnp0r+/ETy92VP/RUBbOlsYseroF7dztMNDTYXdoDL+cvK6N2yuV+2fCyjg7IYQoncf6rZw//k1UXYUnT0gWRdsaOFmy+7Ue2JkZciLiLoO+2ceZm/FM/jVvDcecXIXuX/zD1wcvcyTsDhdiktDX1WFS5/olXPnhvN6tAUdm9FFn/mZsDiYlI0urdRRFURSNMXYg4+yEEKK0JN0iHkplHWM3f/58Wrdujbm5OQ4ODgwZMoTQ0FCNMoqi4Ofnh4uLC8bGxnTt2pVz586pz4eHhxe7MPavv/5abN1FLaydPzu7rBo7W/H3pO6YG+kRcCWWJvN3EJeaQX1HC/R1dbiVfA+AoU3dcLYw5q1ejUpcE7Gs3uzREA9bM24kpPH1gcvlUkdBmUUEcZKxE0KI0qkc38qiyrh/54nKkrELCAhg0qRJHD16FH9/f7Kzs+nduzepqanqMgsXLmTx4sUsX76cwMBAnJyc6NWrF8nJyQC4ubkRHR2t8ZgzZw6mpqb069fvgfU3btxY43Vnzpx55Htq4WbD1gldcbE0Rl9XBy9nS34b14lp3fN2ini+ZS1++18nouYN5aMBTR+5vuIYG+jxbp/GACzff4nsnPLNnhUcX5f/h4Nk7IQQonQq1QLFovK7P2N3f9dsRdm5c6fG89WrV+Pg4EBQUBCdO3dGURSWLl3Ku+++y9ChQwFYu3Ytjo6ObNiwgQkTJqCrq1so07Z582aGDx+OmZnZA+vX09N75CxdUbrUdeTGx08D/22RN29gMwZ61aCtu91jm8wwspU7b28J4frdVP48fYNnmtcst7ryx9epVGBupE9GSoZk7IQQopQqx7eyqDKqys4TiYmJANjY2AAQFhZGTEwMvXv3VpcxNDSkS5cuHD58uMhrBAUFERISwrhx40qs7/Lly7i4uODh4cGIESO4du3aA8tnZGSQlJSk8ShOfvduPh0dFR3qOKCn+/j++xob6PHKvwsYL913sVzryh9fZ6SnKxk7IYR4SI81sEtNTcXYuHzGAYnHw+i+QM5Qv/L9baAoCtOmTaNjx454eeUN/I+JiQEotE+wo6Oj+tz9vvvuOxo2bEj79u0fWF/btm354Ycf+Pvvv1m1ahUxMTG0b9+euLi4Yl8zf/58LC0t1Q83t8qzCHVxJnaqh66OioNXbxN6q/hA9FHlZ+yM9HXVfzhkyH6xQghRKo/1W9nU1JT09PSSC4pKq7KOsSto8uTJnD59mp9++qnQufu7LvN3R7lfeno6GzZsKFW2rl+/fjzzzDN4e3vTs2dPtm/fDuR19RZn1qxZJCYmqh+RkZEl1lPRnC2N6dMwb9/ldYFh5VZP/hi7ghm7+9e1E0IIUbTKl24RlVplnRWbb8qUKWzZsoW9e/dqbDeXP/7t/uxcbGxsoSwewG+//UZaWhovvPDCQ7fB1NQUb29vLl8ufgapoaEhFhYWGo+qYHRrDyAvsAuPS+F8dKLW67iXldftamxQIGMnXbFCCFEqletbWVR6lXWMnaIoTJ48mU2bNrFnzx48PDw0znt4eODk5IS/v7/6WGZmJgEBAUV2tX733XcMGjQIe3v7h25LRkYGFy5cwNnZ+eFvpJIb3MQVM0M9wuNSqe33J03mb+dY+B2t1nGvyDF2krETQojSkMBOPJRCY+wqScZu0qRJrFu3jg0bNmBubk5MTAwxMTHqrn+VSsXUqVOZN28emzdv5uzZs/j6+mJiYsLIkSM1rnXlyhX279/P//73vyLr6tGjB8uXL1c/nzFjBgEBAYSFhXHs2DGeffZZkpKSGDt2bPndcAUxMdDjmWZ5M2IVJW+x5Ek/B5KTq72MWnpWNnDfGDvJ2AkhRKnIcifioejoqDDQ0yEzOxddHRW6OpUjsFuxYgUAXbt21Ti+evVqfH19AZg5cybp6elMnDiR+Ph42rZty65duzA3N9d4zffff0+NGjU0ZtAWdPXqVe7c+S9LdePGDZ5//nnu3LmDvb097dq14+jRo9SqVUt7N1iJLBzSHAdzQ9rWsuOl9UcJirzLd4ev8vK/s2Yf1b1/gzgjfR3J2AkhxEOSwE48NCM9XTKzcytNtg5Kt12dSqXCz88PPz+/B5abN28e8+bNK/Z8eHi4xvONGzeWponVhoO5EQuHtADgRkIaU38P4q0/QxjgVQMXq0ff7zi/K9ZYX08ydkII8ZAe+Zs5OzubtWvXFrtkREGdOnWS5U6qgfyZsZVlfJ2oOJM616N1LVsS0jOZsPG4VvaD/m+MXYGMnSx3IoQQpfLIgZ2enh6vvvoqGRkZJZbdsWNHtRxQ/qQxUgd2lSdjJyqGnq4O349qh4GeDtvO3mTN0QcvzFwa6QXWscv/rEnGTgghSkcr38xt27YlJCREG5cSVUD+l+39M2TFk8nLxYo5TzUBYMqvJ7hyO/mhr6EoCjFJ6YTeSiI+LRO4f/KEZOyEEKI0tDLGbuLEiUybNo3IyEhatmyJqampxvkmTZpooxpRSeTPjJWuWJHvzZ4N+ftCNPsu38Jn0d90revI+329aFLDulSvf+3XEyzff0njmJGeLgb3bSm2+VQk+joq+nvVeGz75AohRFWilcBu+PDhALz22mvqYyqVSr2qf06O/LVdnRhLV6y4j66ODj++0J4Oi/8mIj6N34Ij+PtCFL+P60yvhg8efnEhJpGvDuQt5mysr6vuijXU08GgQMYu5MZdhq7aD8DIVu5883wbzAz11dfJyMrhqwOXSM3M5r2+3uVxm0IIUelpJbALCyu/7YVE5WMkkydEEVytTbj4/kBORNzlg+2n2Xf5Fr2/3EPrWrb4eNjRwNGCF9vVKdSF/8H20+QqCkOauPLzSx2Z9/c5Vh+9ygCvGgRciQXyMnbrjoerX7PhRDjpWTn8/r9OKAr8fPI67207xbU7KRjo6TC6tQfutmaP8/aFEKJS0EpgV13X6xJFM9LPy9RJxk7cz9hAj06eDuyc2I2JvwSy9tg1Aq/HEXg9DoBfTkbwx8udsTQ2AGBDYBi/BUegUsFHA5pioKeLX/8m+PXPG75xNDzvdWmZ2Ww5cxOAt3o1YvGei2w+FcnkXwLZfyWWs/9ubeZkYcTHA5riZv3oy64IIURVpNV17M6fP09ERASZmZkaxwcNGqTNakQFM9bP+9hIxk4Ux1Bfl+9GtWPewKZsOXOTy7eT+PrgZfZdvkXt2X/SsY4D6VnZ+F/MWyZpfHtPvFysCl/n3z8edl6IJjopHRsTAz7s3wRrEwPe/jNE3YVraazP9O4NeaN7A43uWSGEeNJoJbC7du0aTz/9NGfOnFGPrQPUg5tljF31YqQnGTtROo4Wxozv4AnkjYsb+HUANxLS2HLmhrrMW70aMXdg0yJfn//Hw/W7qQAMa1ELAz1dZvRoyImIuwRH3uV/7T2Z0NETaxPDcr4bIYSo/LQS2L3++ut4eHjwzz//ULt2bY4fP05cXBzTp0/ns88+00YVxcrIyKBt27acOnWK4OBgmjVrpj4XERHBpEmT2LNnD8bGxowcOZLPPvsMAwODcm1TdSdj7ERZNHO14arfIE5E3CUo4i7GBro0cbGijbtdsa+5/4+HF9p4AHmTNX4d16lc2yuEEFWRVgK7I0eOsGfPHuzt7dHR0UFHR4eOHTsyf/58XnvtNYKDg7VRTZFmzpyJi4sLp06d0jiek5ND//79sbe35+DBg8TFxTF27FgURWHZsmXl1p4ngcyKFWVloKdL+9r2tK9tX6ryBf948HK2pJ1H8UGgEEIILS1QnJOTg5lZ3gw0Ozs7oqKigLxJFaGhodqookh//fUXu3btKjIruGvXLs6fP8+6deto3rw5PXv2ZNGiRaxatYqkpKRya9OTQDJ24nEp+MfDyx3qytp1QghRAq1k7Ly8vDh9+jS1a9embdu2LFy4EAMDA1auXEnt2rW1UUUht27dYvz48fzxxx+YmBSeAXfkyBG8vLxwcXFRH+vTpw8ZGRkEBQXRrVu3Iq+bkZGhsT2aBIGF/bdAsWTsRPlKvpel/nl0G/eKa4gQQlQRWvlmfu+998jNzVsZ/uOPP+b69et06tSJHTt28MUXX2ijCg2KouDr68srr7xCq1atiiwTExODo6OjxjFra2sMDAyIiYkp9trz58/H0tJS/XBzc9Nq26uDng2ccDA3ok8JC88K8aiGNqtJLRtTPhrQRCZHCCFEKWglY9enTx/1z7Vr1+b8+fPcvXsXa2vrh+o68fPzY86cOQ8sExgYyOHDh0lKSmLWrFkPLFtU3fm7YRRn1qxZTJs2Tf08KSlJgrv7dKvnRMy8odItJsqds6Ux4R8OqehmCCFElaHVdewAIiMjUalUuLq6PvRrJ0+ezIgRIx5Yxt3dnY8//pijR49iaKj5F3yrVq0YNWoUa9euxcnJiWPHjmmcj4+PJysrq1AmryBDQ0ON6+Yv3SJdstqV/37mv79POvmclQ/5nAkhnjQqRQu/8bKzs5kzZw5ffPEFKSkpAJiZmTFlyhRmz56Nvr52FwyNiIjQ+AKMioqiT58+/Pbbb7Rt2xZXV1f++usvBgwYwI0bN3B2zusy/Pnnnxk7diyxsbFYWFiUqq4bN25Ixq4cRUZGlumPgOpGPmflSz5nQognhVYCu1deeYXNmzfz4Ycf4uPjA+RNXvDz82Pw4MF8/fXXj9zQBwkPD8fDw0NjHbucnByaNWuGo6Mjn376KXfv3sXX15chQ4Y81HInubm5REVFoSgKNWvWJDIystRBYXWS3yWtrftXFIXk5GRcXFzQ0ZFJGPI5yyOfMyGEeDRaCewsLS3ZuHEj/fr10zj+119/MWLECBITEx+1igcqKrCDvMzexIkTCy1QfH8XbmkkJSVhaWlJYmLiE/uF+yTf/+PypL/PT/r9CyHEo9LKGDsjIyPc3d0LHXd3d38suzy4u7sXOYamZs2abNu2rdzrF0IIIYSoDLTSNzFp0iQ++ugjjfXfMjIymDt3LpMnT9ZGFUIIIYQQogRaydgFBweze/duXF1dado0bzPvU6dOkZmZSY8ePRg6dKi67KZNm7RR5WNnaGjI7Nmzy9SNWx086ff/uDzp7/OTfv9CCPGotDLG7sUXXyx12dWrVz9qdUIIIYQQoghaCezS09PJzc3F1NQUyJvM8Mcff9CwYUONxYuFEEIIIUT50coYu8GDB/Pjjz8CkJCQQLt27Vi0aBFDhgxhxYoV2qhCCCGEEEKUQCuB3cmTJ+nUqRMAv/32G46Ojly/fp0ffvihXPaKFUIIIYQQhWklsEtLS8Pc3ByAXbt2MXToUHR0dGjXrh3Xr1/XRhVCCCGEEKIEWgnsPD09+eOPP4iMjOTvv/+md+/eAA+1dZcQQgghhHg0WgnsPvjgA2bMmIG7uztt27ZVbyu2a9cumjdvro0qhBBCCCFECbQyKxYgJiaG6OhomjZtqt6T8fjx41hYWNCgQQNtVCGEEEIIIR5Aa4GdEEIIIYSoWFrpihVCCCGEEBVPAjshhBBaExsby4QJE6hZsyaGhoY4OTnRp08fjhw5UtFNE+KJoJW9YoUQQgiAZ555hqysLNauXUvt2rW5desWu3fv5u7du2W6nqIo5OTkoKcnX1dClIZk7IQQQmhFQkICBw8e5JNPPqFbt27UqlWLNm3aMGvWLPr37094eDgqlYqQkBCN16hUKvbt2wfAvn37UKlU/P3337Rq1QpDQ0MOHDhAcnIyo0aNwtTUFGdnZ5YsWULXrl2ZOnWq+lqZmZnMnDmTGjVqYGpqStu2bdXXFeJJIYGdEEIIrTAzM8PMzIw//viDjIyMR7rWzJkzmT9/PhcuXKBJkyZMmzaNQ4cOsWXLFvz9/Tlw4AAnT57UeM2LL77IoUOH2LhxI6dPn+a5556jb9++XL58+ZHaIkRVIoGdEEIIrdDT02PNmjWsXbsWKysrOnTowDvvvMPp06cf+loffvghvXr1ok6dOhgYGLB27Vo+++wzevTogZeXF6tXryYnJ0dd/urVq/z000/8+uuvdOrUiTp16jBjxgw6duzI6tWrtXmbQlRqEtgJIYTQmmeeeYaoqCi2bNlCnz592LdvHy1atGDNmjUPdZ1WrVqpf7527RpZWVm0adNGfczS0pL69eurn588eRJFUahXr546c2hmZkZAQABXr1595PsSoqqQ0ahCCCG0ysjIiF69etGrVy8++OAD/ve//zF79mwOHDgA5E2IyJeVlVXkNUxNTdU/55dXqVQaZQpeJzc3F11dXYKCgtDV1dUoZ2Zm9mg3JEQVIhk7IYQQ5apRo0akpqZib28PQHR0tPpcwYkUxalTpw76+vocP35cfSwpKUlj7Fzz5s3JyckhNjYWT09PjYeTk5P2bkaISk4ydkIIIbQiLi6O5557jpdeeokmTZpgbm7OiRMnWLhwIYMHD8bY2Jh27dqxYMEC3N3duXPnDu+9916J1zU3N2fs2LG8+eab2NjY4ODgwOzZs9HR0VFn8erVq8eoUaN44YUXWLRoEc2bN+fOnTvs2bMHb29vnnrqqfK+fSEqBQnshBBCaIWZmRlt27ZlyZIlXL16laysLNzc3Bg/fjzvvPMOAN9//z0vvfQSrVq1on79+ixcuJDevXuXeO3FixfzyiuvMGDAACwsLJg5cyaRkZEYGRmpy6xevZqPP/6Y6dOnc/PmTWxtbfHx8ZGgTjxRZK9YIYQQVU5qaio1atRg0aJFjBs3rqKbI0SlIRk7IYQQlV5wcDAXL16kTZs2JCYm8uGHHwIwePDgCm6ZEJWLBHZCCCGqhM8++4zQ0FAMDAxo2bIlBw4cwM7OrqKbJUSlIl2xQgghhBDVhCx3IoQQQghRTUhgJ4QQ5WjFihU0adIECwsLLCws8PHx4a+//lKf9/X1RaVSaTzatWuncY2MjAymTJmCnZ0dpqamDBo0iBs3bjzuWxFCVAES2AkhRDlydXVlwYIFnDhxghMnTtC9e3cGDx7MuXPn1GX69u1LdHS0+rFjxw6Na0ydOpXNmzezceNGDh48SEpKCgMGDNDYK1UIIUDG2JUoNzeXqKgozM3NC21nI8pOURSSk5NxcXFBR0f+vpDPWfmorJ8zGxsbPv30U8aNG4evry8JCQn88ccfRZZNTEzE3t6eH3/8keHDhwMQFRWFm5sbO3bsoE+fPqWqUz5j5aOyfsbEk0tmxZYg/xeoKB+RkZG4urpWdDMqnHzOyldl+Zzl5OTw66+/kpqaio+Pj/r4vn37cHBwwMrKii5dujB37lwcHBwACAoKIisrS2MRXxcXF7y8vDh8+HCxgV1GRgYZGRnq5zdv3qRRo0bldGeisnzGhJDArgTm5uZA3n9aCwuLCm5N9ZGUlISbm5v6/X3SyeesfFSWz9mZM2fw8fHh3r17mJmZsXnzZnWQ1a9fP5577jlq1apFWFgY77//Pt27dycoKAhDQ0NiYmIwMDDA2tpa45qOjo7ExMQUW+f8+fOZM2dOoePyGdOuyvIZEyKfBHYlyO+yyB/4LP4zY9NJDlyNZdP4ztSwMinTNR5nl1B8fDyvvfYaW7ZsAWDQoEEsW7YMKyurYl+jKApz5sxh5cqVxMfH07ZtW7788ksaN26sLhMTE8Obb76Jv78/ycnJ1K9fn3feeYdnn3221G2Tz1lhU34J5ETEXQKm9sRAT/eRrlXRXY/169cnJCSEhIQEfv/9d8aOHUtAQACNGjVSd68CeHl50apVK2rVqsX27dsZOnRosddUFOWB9zVr1iymTZumfp4fgFTmz9jd1Az+Oh/F3xeiORp2h1vJ9zA30qOdux0jW7kzpIkbOjqVsxu5oj9jQuSTAQGizBbtucDx63F4z9vOvazKP4h75MiRhISEsHPnTnbu3ElISAhjxox54GsWLlzI4sWLWb58OYGBgTg5OdGrVy+Sk5PVZcaMGUNoaChbtmzhzJkzDB06lOHDhxMcHFzet1StrQsM52j4HUJvJVV0Ux6ZgYEBnp6etGrVivnz59O0aVM+//zzIss6OztTq1YtLl++DICTkxOZmZnEx8drlIuNjcXR0bHYOg0NDdVBXGUO5iAvoJv5x0lc39vM6LWH+fF4GJdvJ5N0L4ubCen8HhLJM98eoPNSfy7GJFZ0c4Wo1CSwE48sPi2Toav2E5WQVtFNKdaFCxfYuXMn3377LT4+Pvj4+LBq1Sq2bdtGaGhoka9RFIWlS5fy7rvvMnToULy8vFi7di1paWls2LBBXe7IkSNMmTKFNm3aULt2bd577z2srKw4efLk47q9auledt4fCxnZuRXcEu1TFEVj/FtBcXFxREZG4uzsDEDLli3R19fH399fXSY6OpqzZ8/Svn37x9Le8rTzfBSN527j038ukJ6VQyMnS97u1Yi/Jnbj4vsDOfhGL2b2bISpgR6Hrt2m9ac7+ft8VEU3W4hKS7piq6nY5HucvhnPpdhkrt9N5XRUPFdup5CRnUNmdi6ZOblkZudiYqBLY2crnCyMsDDSx9PenDp2ZtS0NsXD1gwbU4NiuxgM9XTUX7p/nY+iwcdb8W1bh+db1qJVLVv0dSvP3w1HjhzB0tKStm3bqo+1a9cOS0tLDh8+TP369Qu9JiwsjJiYGI1B64aGhnTp0oXDhw8zYcIEADp27MjPP/9M//79sbKy4pdffiEjI4OuXbsW2577B7YnJVX9rJQ2KYqizgJnZFf+bPCDvPPOO/Tr1w83NzeSk5PZuHEj+/btY+fOnaSkpODn58czzzyDs7Mz4eHhvPPOO9jZ2fH0008DYGlpybhx45g+fTq2trbY2NgwY8YMvL296dmzZwXfXdll5eQy688QFu25AEADRws+e7oFTzV20fidU9/Rgg51HJjUuR5jfzzCvsu36P/1Pjb4dmBYi1oV1XwhKi0J7KqRnNxcfjkZwYoDlzhw9XapXpOamc2+y7eKPe9sYczgJq685FOH1rVs1ccVRVEHdf6Tu/Pu1lMcvx7HsoBQlgWEYqSvi6WRPs6WxgzwqkF7DzvqOVhQy8YUvQoI+GJiYtSzDAtycHAodgB6/vH7u7scHR25fv26+vnPP//M8OHDsbW1RU9PDxMTEzZv3kydOnWKbU9xA9tFnoJZuqqesbt16xZjxowhOjoaS0tLmjRpws6dO+nVqxfp6emcOXOGH374gYSEBJydnenWrRs///yzxmD8JUuWoKenx7Bhw0hPT6dHjx6sWbMGXd1HG3tYUW4lpTP02/0cvnYHgCld6vPJ4GYYGxT/lVTTxpS/J3Vj3PqjrAsMZ8wPh3EwM6JrveK7o4V4EklgVw3k5Oay5cxN5uw4w6mbeeNwVCrwtDOnoZMlNa1NaORsSWNnS0z09TDQ00FfVwdDPR3i0zI5F51IfFomcakZXIpNJvxuChF304hOSic6KZ2vD17m64OX6d3Ame9GtcPV2oSsnP++bFvVtOXI9D78ExrD90eu4n8xmrtpmdzLyuFW8j1Cbvw3NujTIc2Z0VN7Sy74+fmVGCAFBgb++54UzjyWNAC9qNfd/5r33nuP+Ph4/vnnH+zs7Pjjjz947rnnOHDgAN7e3kVes7iB7SJPwTGbVT1j99133xV7ztjYmL///rvEaxgZGbFs2TKWLVumzaZViODIuwxZGUBEfBqWxvqsGe3DkKal++wb6OmyZowP97Jz+S04giGrAgia2Y869jIjVYh8EthVYYqi8MfpG8z8I5grt/MG81sa6/NGtwaM8/HE1bp0M1Vb1rQt8nhaZjYHrsSyLjCMn4Kus+tiNF0/92ff672wMNJXlzPU00FHR0Xvhs70buhMbq7CtbgUUjKyOBuVyLazNzkXncDl28nUd9TuAO7JkyczYsSIB5Zxd3fn9OnT3LpVODN5+/btYgegOzk5AXmZu/zxTqA5aP3q1assX76cs2fPqmfKNm3alAMHDvDll1/y9ddfF3ltQ0NDDA0NS77BJ9S97IKBXdXO2In/fHf4CpN+CSQjO5e69uZse6Ur9R7yd4Kujg4/vtCeqMQ0Dl+7w/NrDnHwjV6PPHNaiOpCArsqKj0zm9FrD7PpVCQANiYGvNKxLtO6N8TWTDsBg4mBHn0audCnkQsf9POmz5d7uXonhadXBbDj1W7qcob3/ULV0VHh+e9f0M1cbRjdxgOA3FyFXC1vdGJnZ4ednV2J5Xx8fEhMTOT48eO0adMGgGPHjpGYmFjsAHQPDw+cnJzw9/enefPmAGRmZhIQEMAnn3wCQFpa3oSR+1ec19XVJTdXApKySs/8L7CrCjOuxYNl5+Tyxu9BLN9/CYD+jV34cWx7rE3K9rvKSF+Xn3w70mzBDgKvx+G34wzzBjXTYouFqLoqz+h2UWpJ6Vn0+2ovm05FYqCnw7t9GnP9oyHMHdRMa0Hd/eo6WLD91a4AnIi4q86o6OmoSr2ulI6OqkLG1wE0bNiQvn37Mn78eI4ePcrRo0cZP348AwYM0Jg40aBBAzZv3gzkdcFOnTqVefPmsXnzZs6ePYuvry8mJiaMHDlSXd7T05MJEyZw/Phxrl69yqJFi/D392fIkCEVcavVgmTsqo+k9Cz6r9inDuo+GtCELRO6ljmoy1fTxpRvR+ZNhvr0n/Oci0541KYKUS1Ixq6KiYxPpf+KfZyJSsDCSJ+tr3Shs+fjGTxcw/K/rt2ke1lA3l/OVcX69et57bXX1LNcBw0axPLlyzXKhIaGkpj43zpZM2fOJD09nYkTJ6oXKN61a5d6YLu+vj47duzg7bffZuDAgaSkpODp6cnatWt56qmnHt/NVTPVaYzdk+z63RQGfh3AmagETAx0WT+2Q6nH05XG0GY1GdLElT9O32Diz4Hse72nLBQsnnhVJrAry64BmzZt4ptvviEoKIi4uDiCg4Np1qzZ42lwObhyO5mun/tzMyEdJwsjdrzajeZuNo+tfiP9/7Jtiel5gd393bCVmY2NDevWrXtgGeW+rmKVSoWfnx9+fn7FvqZu3br8/vvv2mii+JdmYCcZu6ro0NVYhn57gNjkezhbGLPt1a60KIffV0ufbcnfF6LZfyWWX05eZ3hLd63XIURVUmW6Ysuya0BqaiodOnRgwYIFj6mV5SfsTgrdPv+HmwnpNHKy5NiMvo81qAPQ19Uh/4/hxPRMIG/ihBDaptkVKxm7qiQzO4f3tobQeek/xCbfo5mrNUdn9CmXoA6glo0Zb/fOm7j03rbTGjP2hXgSVYmMXf6uAUePHlUvMLtq1Sp8fHwIDQ0tcnFZQB34hYeHP66mlouEtEz6rdjLjYQ0GjpZsPf1njiYGz32dqhUKoz0dEnPyqmSGTtRdaRLxq5Kuno7mefXHCLwehwAI1u5s/L5tpgalu9XzRvdGrA8IJQrt5NZc/Qa4zt4lmt9QlRmZU63XL16lffee4/nn3+e2NhYAHbu3Mm5c+e01rh8Je0aUJ3l5Oby/JqDhN5KwtXKhH8m96iQoC6f8b9j6hLv5Qd2krET2idj7KoWRVH45uBl9SxVGxMDfh3XifW+Hco9qAMwN9LnnT5eAHz41xkyZCa1eIKV6Vs5ICAAb29vjh07xqZNm0hJSQHg9OnTzJ49W6sNhLLtGlBWGRkZJCUlaTwq0lt/hLDzfDQmBrpsmdAFF6vSrU1XXvInS/zXFSsZO6F9Msau6jgadodOS/x5ZeNxUjKy6ezpwKlZ/Xm2ec3H2o5XOtbFxdKYGwlp/BgY9ljrFqIyKVNg9/bbb/Pxxx/j7++PgYGB+ni3bt04cuRIqa/j5+eHSqV64OPEiRNA2XcNeFjz58/H0tJS/ajI3QB+OHZNvY/imtE+j31MXVH+C+wkYyfKzz2NLcUk+1IZXbqVxLPf7sdn0d8cunYbY31dlj7Tkr2v9Sz14ujaZKSvy4weDQFYsOsc2TLWTjyhypQjP3PmDBs2bCh03N7enri4uFJfpzx3DSiryrLV09moBCZsPA7A+329eK6SbHZtpCddsaL8ScaucsrNVTgafoevD15mfWA4uYqCSgW+bWvz0YCm1KjgHoXxHTyZ+/c5rt5J4bfgCEa0cq/Q9ghREcoU2FlZWREdHY2Hh4fG8eDgYGrUqFHq65TnrgFlVRm2ekrLzGb49we5l5VD30bO+D3VpELbU1B+xi5BumJFOUqXMXaVhqIoXLmdzK/BEaw6fIXwuFT1uQFeNZg/qBleLlYV18ACzAz1ea1rfWZvP82nuy8wvGUtWddOPHHKlG4ZOXIkb731FjExMahUKnJzczl06BAzZszghRde0HYby7RrAMDdu3cJCQnh/PnzQN7isyEhIVofl6dtb24+yfmYRJwsjFg7pn2pd3Z4HPLXspOuWFGeqlPGbsWKFTRp0gQLCwssLCzw8fHhr7/+Up9XFAU/Pz9cXFwwNjama9euhSahZWRkMGXKFOzs7DA1NWXQoEHcuHGj3NoccTeVFQcuMey7A9R4dzP1PtzKu1tPER6XirmRHqNbu3P8zb5sfaVrpQnq8k3sVBdjfV1ORt4l4HJsRTdHiMeuTBm7uXPn4uvrS40aNVAUhUaNGpGTk8PIkSN57733tN1GoGy7BmzZsoUXX3xR/Ty/23f27NkPXHC2Iv19PoqvDlwG4Icx7St0BmxR1F2xkrET5ag6rWPn6urKggUL8PTMW4Jj7dq1DB48mODgYBo3bszChQtZvHgxa9asoV69enz88cf06tWL0NBQ9Q4nU6dOZevWrWzcuBFbW1umT5/OgAEDCAoKQlf30f4PZmTlsOlUJLtDY4hOSudMVAKR8WkaZQz0dGjvYc+L7WrzXPOaGBtU3pWy7MyM8G1XmxUHLrNozwW61ns8O/MIUVmU6X+nvr4+69ev58MPPyQ4OJjc3FyaN29O3bp1td0+tbLsGuDr64uvr2+5tUnb4tMyeGn9UQCmdKlPr4bOFdyiwozuW+6kKm0pJqqOghm7e1V86YqBAwdqPJ87dy4rVqzg6NGjNGrUiKVLl/Luu+8ydOhQIC/wc3R0ZMOGDUyYMIHExES+++47fvzxR3r27AnAunXrcHNz459//qFPnz4P3ab0zGzWnwhn14Vo/gmNIT4tU+O8jkpF+9p29G3oQsc69rSpZVupg7n7vdGtAV8fvMy2sze5GJNIAyfLim6SEI/NI/1PrVOnDnXq1NFWW554r/8WRFRiOvUczFkwuFlFN6dI+Rm7hDTZeUKUn+rUFVtQTk4Ov/76K6mpqfj4+BAWFkZMTIy6JwLyxvl26dKFw4cPM2HCBIKCgsjKytIo4+LigpeXF4cPHy5TYKejUvH6bydIy8x7n12tTBjV2p06dubUtTenZU0bzI30H/2GK0hdBwsGermy5cwNvggI5avhbSq6SUI8NmUK7ArOGi1IpVJhZGSEp6cngwcPxsam4pfnqCq2nrnBj8fD0FGpWDumPSaV9K/j+zN20hUrykN1mzxx5swZfHx8uHfvHmZmZmzevJlGjRqpF1i/f3a/o6Mj169fB/LW8TQwMMDa2rpQmQeNF87IyCAjI0P9vOCanIb6ukzqXA8TfT16NXCirbsderrV64+0N7o1YMuZG6w9do2PBzTFxrRiJ8UJ8biUKXoIDg7m5MmT5OTkUL9+fRRF4fLly+jq6tKgQQO++uorpk+fzsGDB2nUqJG221zt3E3N4OWfjgEwvUcD2nmUPFO4ouQHdkmy3IkoR5pj7Kp+xq5+/fqEhISQkJDA77//ztixYwkICFCfv3/mZmnW6CypzPz585kzZ06x5xcOaVHK1ldNXeo60KSGFadvJrDq8BXe6tW4opskxGNRpm/lwYMH07NnT6KioggKCuLkyZPcvHmTXr168fzzz3Pz5k06d+7MG2+8oe32Vktv/B5ETNI9Gjha8GH/phXdnAcy+jeQyx/OKBk7UR6qW1esgYEBnp6etGrVivnz59O0aVM+//xznJycAApl3mJjY9VZPCcnJzIzM4mPjy+2TFFmzZpFYmKi+hEZGanlu6rcVCoVU7s2AODL/ZdkwWLxxChTYPfpp5/y0UcfYWFhoT5mYWGBn58fCxcuxMTEhA8++ICgoCCtNbS62nL6Bj/82wW7erRPpZ+McH/7JGMnykN13ytWURQyMjLw8PDAyckJf39/9bnMzEwCAgLUa3S2bNkSfX19jTLR0dGcPXv2get4GhoaqpdYyX88aZ5v5Y69mSGR8WlsPvVkBbbiyVWmb+XExERiYwuvD3T79m31OA4rKysyMzMLlRH/iUlKZ9yGvFmwlb0LNp+R3v2BXeUOREXVpLmlWNXOtLzzzjscOHCA8PBwzpw5w7vvvsu+ffsYNWpUXlZp6lTmzZvH5s2bOXv2LL6+vpiYmDBy5EgALC0tGTduHNOnT2f37t0EBwczevRovL291bNkRdGM9HWZ0DFvtYbP94VWcGuEeDzKNMZu8ODBvPTSSyxatIjWrVujUqk4fvw4M2bMYMiQIQAcP36cevXqabOt1UpursJL645yJyWDJjWs+KiSd8Hmk4ydeBzSs7LVP1f1jN2tW7cYM2YM0dHRWFpa0qRJE3bu3EmvXr0AmDlzJunp6UycOJH4+Hjatm3Lrl271GvYASxZsgQ9PT2GDRtGeno6PXr0YM2aNY+8ht2T4NWOdVmw6xyHrt0mKCKOljVtK7pJQpSrMgV233zzDW+88QYjRowgOzvvF7Cenh5jx45lyZIlQN4uEN9++632WlrNzNt1lr/OR2Gop8P6sR0wrORdsPkKB3ZVo92iarmXVX0ydt99990Dz6tUKvz8/B64aLqRkRHLli1j2bJlWm5d9ediZcLwlrVYHxjO0r0X+XFsh4pukhDl6qHTLTk5OQQFBfHJJ58QFxenniEbFxfHypUrMTU1BaBZs2Y0a9ZM2+2tFv4+H8UH208DsGJ4m0q3Jc+DFO6KlYyd0L7qPsZOPF75kyh+PhlBVEJaCaWFqNoe+ltZV1eXPn36kJiYiJmZGU2aNKFp06aYmZmVR/uqncuxSYxYfQhFgfHtPXnRp2ot8CwZu8otLTObX05eZ+pvJ7gcm1TyCyqp6rbciahYrWrZ0rGOPVk5uaw4eLmimyNEuSpTusXb25tr165puy3V3t3UDAZ9E0BCeiY+HnYse65VRTfpoRnp6zzweWUWHx/PmDFjsLS0xNLSkjFjxpCQkPDA12zatIk+ffpgZ2eHSqUiJCSkUJnHvUF7cQIu38Jj9p8M//4gn+8LpfeXe7idfO+xt0MbCmbssnJyyc1VHlBaiJLlZ+1WHLhMWmZ2CaWFqLrK9K08d+5cZsyYwbZt24iOjiYpKUnjUR4e9ks5KyuLt956C29vb0xNTXFxceGFF14gKirqkdpxNiqhTOshpWZkM+DrfVy8lUQNK2N+/1/nKjOurqCqPCt25MiRhISEsHPnTnbu3ElISAhjxox54GtSU1Pp0KEDCxYsKLbM1KlT2bx5Mxs3buTgwYOkpKQwYMAAcnLKvwvx0q0kRq05RJel/vRctpvY5HvUtDbBzdqE8LhU+n21l/WBYVXuiyz9vv1hM2UNMvGIhjR1xcPWjLjUDNYclcSEqL7KNHmib9++AAwaNEhj5fP8ldDL4wtt5MiR3Lhxg507dwLw8ssvM2bMGLZu3Vpk+bS0NE6ePMn7779P06ZNiY+PZ+rUqQwaNIgTJ06UqQ2pGdl0XuqPpbE+b3RrwPj2nqXaGDsqIY3nvj/AkbA7WJsYsHNid5wtjcvUhopWVWfFXrhwgZ07d3L06FHatm0LwKpVq/Dx8SE0NJT69esX+br8wC88PLzI8+WxQXtpJN/LYnlAKB/tPKsRBI1oWYvvRrXj+t1U2n32N0GRdxm99jCtatoQMLVXpd2q7n737gvsMrJzKv0aj6Jy09XRYVr3Bkz59QSL91xgQkdPdHWqxu8vIR5GmX7L7927V9vteKCyfClbWlpqLOgJsGzZMtq0aUNERAQ1a9Z86Haci05AV0dFeFwqr/8WxLKAS6x8vg3d6jkV+xr/C9G88ONhYpLuYWGkz7ZXulapyRL3q6oZuyNHjmBpaan+/AC0a9cOS0tLDh8+XGxgV5KybtD+oH08S/LTiXAm/RJIfFreOpG9GjgxzqcONaxM6FDbHpVKRUMnSwLf7Mvqo1dZeegKJyLu8sIPh/n5pY6V/stMURSNMXaQF+hV0b+FRCXyYrs6zN5+mqt3Uth86gbPNn/47wEhKrsyBXZdunTRdjseSFtfyomJiahUKqysrIot86Av3DbudkR8OIQfjofx0c4zXLmdTPcvdtOqpg3j23vybPOa2Jgakp6ZzcnIu3xz6Ao/Hg8DoLGzJZvHd6auQ9Ve/b2qZuxiYmJwcHAodNzBweGBG6mX5rpl2aC9pH08CzoXncDGoOucupG3pdTWszcBqO9owTu9GzOmjUeRe4bWc7Rg/uDm9PeqQfcvdvN7SCQtP9nJ1yPaVOrFsLNyctVb1uWTCRRCG0wN9ZjcpT4f/nWGBbvO8UwztxL35BWiqilTYLd///4Hnu/cuXOZGlMcbXwp37t3j7fffpuRI0c+cGudkr5wjQ30mNCxLiNa1uKdLSF8e+QqJyLuciLiOBM2HsdAT4fM+76EJneuxydDmleZbrAHqWyzYv38/EoMkAIDA4HCG61D6TZbL4uSrjtr1iymTZumfp6UlISbm1uhcn+ejmToqgPk3hfpvN2rER8PbFqq7FvHOg5s8O3A+A3HOHUznl7Ld3PVbzAO5kYPcUePT8E17Az1dMjIzpUlT4TWTOlSj892nyco8i67LkTTp5FLRTdJCK0qU6TRtWvXQscKfomVdozd4/pSzsrKYsSIEeTm5vLVV189sGxpv3AtjQ34cngb/J5qwtpj1/gxMIzTNxPUQZ2VsQGDm7jyaqe6tHWvvNmRh2V0X4auojN2kydPZsSIEQ8s4+7uzunTp7l161ahc7dv337gRuolKbhBe8GsXWxsbIn7eBoaGj7w2lEJaYxbf4xcRaF7PUeebupG8r0s2rjb0aN+8d3/RXm2eU261nWg9/I9BN+IZ8Gucyx+puVDXeNxKbjrhLmRPhkpGZKxE1pjZ2bEhA51WbL3IvN2nZPATlQ7ZQrs4uPjNZ5nZWURHBzM+++/z9y5c0t9ncfxpZyVlcWwYcMICwtjz549JW6EXZov3ILszY2Y0bMRM3o2IjE9k4T0TMwM9LExNaiWKf7KlrGzs7PDzq7kwNnHx4fExESOHz9OmzZtADh27BiJiYkPDMBKUnCD9mHDhgH/bdC+cOHCMl1z/t9nWbovlJSMLNIyc2jhZsNfE7th8IjvtZ2ZEQsGN6fPl3v46sAl3ujeADdr00e6ZnnIH19npK+rHtMpGTuhTdN7NOTLA5fYfyWWgMu36FK37H/cCVHZlCmws7S0LHSsV69eGBoa8sYbbxAUFFSq65T3l3J+UHf58mX27t2LrW357hFoaWyApbFBudZR0QoFdlVkHbuGDRvSt29fxo8fzzfffAPkzaweMGCAxhjNBg0aMH/+fJ5++mkA7t69S0REhHqZnNDQvI3EnZyccHJy0tig3dbWFhsbG2bMmPFIG7SnZ+UQ++/6cw7mRqwf2/6Rg7p8vRo40cXTgYArsby/7TRrxvho5bralN8Va6Snq84IS8ZOaFMNKxPG+dRhxYHLfLD9NPte71kt/xAXTyatfivb29urv/i0qeCX8tGjRzl69Cjjx48v8kt58+bNAGRnZ/Pss89y4sQJ1q9fT05ODjExMcTExJCZman1Nj4pquqsWID169fj7e1N79696d27N02aNOHHH3/UKBMaGkpiYqL6+ZYtW2jevDn9+/cHYMSIETRv3pyvv/5aXWbJkiUMGTKEYcOG0aFDB0xMTNi6dWuZN2h/tVM9Ts96itD3BxI2ZzANnAr/IVVWKpWKT4Y0B2DtsWscD7+jtWtrS/5SJ8b6uurPl2TshLa909sLQz0d9l+JZc+lwj1CQlRVZcrYnT59WuO5oihER0ezYMECmjZtqpWG3W/9+vW89tpr6mUlBg0axPLlyzXKFPxSvnHjBlu2bAEotGft3r17ixwnKEpWVWfFAtjY2LBu3boHllHum6Tg6+uLr6/vA1+j7Q3anS2Ny3Wdw7budoxtW5u1x64x5dcT7J/aq1Itll2wK1YydqK8uFqbMKFjXb7YF8q7W0PoXq+PZO1EtVCmb+VmzZrRvHlzmjVrpv75qaeeIjMzk++++07bbQT++1LO391i3bp1hZYtURRF/SXs7u6OoihFPiSoK7v7A7v7M3iiapg/qBnmRnocvx5H92X/cCspvaKbpJaemR/Y6VSLjN38+fNp3bo15ubmODg4MGTIkEI9G76+vqhUKo1Hu3btNMpUlq3rqpNZvRtjYqDLsfA4NoVEVnRzhNCKMgV2YWFhXLt2jbCwMMLCwrh+/TppaWkcPnyYBg0aaLuNohLR19VBV+e/v2qrUles+I+zpTG/j+uMpbE+h6/dYdA3AZVmP1Z1xq6ajLELCAhg0qRJHD16FH9/f7Kzs+nduzepqaka5fr27Ut0dLT6sWPHDo3zFbl1XXXlZGHM9O4NAZi1JYQs2bpOVAMPFdgdO3aMv/76i1q1aqkfAQEBdO7cmZo1a/Lyyy9rLO4rqqf8LJ2ejgodHem6qKp6NXTm2Iy+6szd2mOVY/9M9Rg7g+oxxm7nzp34+vrSuHFjmjZtyurVq4mIiCg0yczQ0FA9KcfJyQkbGxv1ufyt6xYtWkTPnj1p3rw569at48yZM/zzzz+P+5aqlTd7NsLezJDLt5P5+sDlim6OEI/soQI7Pz8/jfF1Z86cYdy4cfTs2ZO3336brVu3Mn/+fK03UlQu+d2xkq2r+uo7WvBBX28A3t4SQkJaxU8syg/sqkvG7n7544ALBm4A+/btw8HBgXr16jF+/HhiY2PV50rauq4oGRkZ6qEr+Q9RmLmRPh/2bwLAB9tPc/vfGelCVFUPFdiFhITQo0cP9fONGzfStm1bVq1axbRp0/jiiy/45ZdftN5IUbkY/bvESVWaOCGK91rX+tRzMCc2+R7PfXeAzArOjmlMnvj3j4iMrKqbsStIURSmTZtGx44d8fLyUh/v168f69evZ8+ePSxatIjAwEC6d++u7gEpy9Z18+fPx9LSUv0oaqF1kWd8B0+au1qTkJ7JO1tDKro5QjySh/pmjo+P11gQOCAggL59+6qft27dmshIGYBa3eV3xUrGrnow0NNl/dgOmBro8U9oDOM3HKvQ9qQXkbG7V00ydpMnT+b06dP89NNPGseHDx9O//798fLyYuDAgfz1119cunSJ7du3P/B6D9p9Z9asWSQmJqof8ru5eLo6Oix7rhUA3x6+yv4rsvyJqLoeKrBzdHQkLCxvU/vMzExOnjyJj89/C5wmJyejr6+v3RaKSkfdFVtFFicWJWtVy5bf/tcJXR0VPxwP4/fgiApri7ortpqtYzdlyhS2bNnC3r17cXV1fWBZZ2dnatWqxeXLeWO+Cm5dV1BsbGyxu+8YGhpiYWGh8RDF61DHgZc7eALwv/XHSM/MLuEVQlROD/XN3LdvX95++20OHDjArFmzMDExoVOnTurzp0+fpk6dOlpvpKhcJGNXPfVt5MKs3o0BmPRLIHdTK2YilOYCxVV/jJ2iKEyePJlNmzaxZ88ePDw8SnxNXFwckZGRODs7A5pb1+XL37ruUbbEE5oWDmmOi6Uxl28n887WUxXdHCHK5KECu48//hhdXV26dOnCqlWrWLVqFQYG/22h9f3332sM7hXV03+TJyRjV92818eLhk4W3Eq+R89luwmPS3nsbbj77wSO6rJX7KRJk1i3bh0bNmzA3NxcvQNOenre2oEpKSnMmDGDI0eOEB4ezr59+xg4cCB2dnbqre0Kbl23e/dugoODGT169CNtXScKszQ2YOXzbQFYuvciO89HVXCLhHh4D/XNbG9vz4EDB4iPjyc+Pl79Syffr7/+yuzZs7XaQFH5yKzY6stQP2+8nb2ZIcE34mn96U4uxCSW/EItuXYnmRX/LjnRws2mWmTsVqxYQWJiIl27dsXZ2Vn9+PnnnwHQ1dXlzJkzDB48mHr16jF27Fjq1avHkSNHMDc3V19H21vXiaL196rB5M71ABj74xGiEtIquEVCPJwypVwsLS2L/GViY2OjkcET1ZORnsyKrc6au9kQ9FY/mrtacyclg75f7imXL7f8nWAgb9brjnM3Gf79QVIzs+ni6YBv29rVYoxdcTvg5O+SY2xszN9//01sbCyZmZlcv36dNWvWFJrFmr91XVxcHGlpaWzdulVmupaThUOa4+1ilTdT/PuKnykuxMMo016x4smWn7GT7cSqLzdrU3ZN7k6Hxbu4FJtMr+V72Pt6TxzMjR7purm5Cr8GX+frg1c4dTOezOxcvFwsORedSEpG3mB1M0M9Vo/2QUdH9cCMXU5uLlk5SqFt7oR4VMYGemwa35lWC//i8LU7TPn1BF+PaCN7yYoqocqkXOLj4xkzZox6TaYxY8aQkJDwwNf4+fnRoEEDTE1Nsba2pmfPnhw7VrFLOVQHMsbuyWBnZsTfk7pTw8qY8zGJ9Fy2+6H2lE3LzCbg8i1+PH6N8LgU7qTco8PiXYxYfYh9l28Rn5ZJamY2x8LjSMnIxtnCmEmd63Fkeh887MwAis3Yhdy4i9fc7VjM+IWey3bTZN52jN/YiMs7m2gybzs5uVW361ZUDp725qwf2wGVClYeusKCXecquklClEqVydiNHDmSGzdusHPnTgBefvllxowZw9atW4t9Tb169Vi+fDm1a9cmPT2dJUuW0Lt3b65cuYK9vf3janq1I7NinxzutmbsmdKTrp//w5moBNot+pvVo3xoUsMKS2N9dHX+C+6jE9N5ZeNxDPV06N3QmQ+2nSb630DQ1ECPGlbGXIpNxtxIj+ndGzKkiRt6uipO30ygjp0ZrWraFtqi7v6MnaIoLAsIZeYfwepju0P/W6A3OiudtKxsjXYJUVb9vWrw+TOteO23E7yz9RQ2poZM6Fi3opslxANVicDuwoUL7Ny5k6NHj9K2bd6MpVWrVuHj40NoaCj169cv8nUjR47UeL548WK+++47Tp8+rbGDhng4krF7stRztCBgak+eWrGPK7eT6fbFf3uT2pgY4O1ihYetGf6h0dxMyAvkfv13HTwnCyNsTAw5H5PIpdhkHM2N2Pd6Txo4Waqv0djZqti683ee+C04goYfbSUzJ5drd/Jm6vZv7MLsp5pwPPwOjhbGNK1hRUpGtrpLVwhtmNK1PjcS0lj4z3le2XgcRVF4pVO9im6WEMWqEoHdkSNHsLS0VAd1AO3atcPS0pLDhw8XG9gVlJmZycqVK7G0tKRp06bFlsvIyFBv4wPI/opFkIzdk6eugwVHpvdm4s+B7L8Sy61/99O8m5ZJwJVYAq7k7Wva0MmClm42/HH6BuN86jB/UDMM9HRYtPsCey7dYtHQFhpBXUkK/vFw8Vbe/0UjfV0+HdKcSZ3roVKpaF3LVot3KkRhCwY3IysnlyV7L/Lqz4HcSr7HB/28ZcydqJSqRGAXExODg4NDoeMODg7F7pOYb9u2bYwYMYK0tDScnZ3x9/fHzs6u2PLz589nzpw5j9zm6kz2in0y2ZkZ8cu4vAXJ72XlkJKRRWR8GmeiEriZkIaBni7j23tiYaxfaKurmb0aM7NX44eus+AfD2/2bEiPek40drbC1drk0W9IiFJSqVQsGtoCY31d5u06h9+OM9xKvsdXw9tUdNOEKKRCAzs/P78Sg6jAwECAIv8yetA+ifm6detGSEgId+7cYdWqVQwbNoxjx44VGShC3v6K06ZNUz9PSkqSJQXu079xDX4PiWRIU3lfnlRG+roY6etiZ2ZEczebQue1lcno7OmAt4sVA71q8PHAppIhERVGpVIxd1AzXK1NmPLrCdq5F58g+H97dx4XVb0+cPwzbMOOIMoim4q5gYrghrsmZmqa5VqmlUsldg2995fdcqlMK9u0ss0tNVtuaKaWue8riPuOCCiggrLKOuf3BzKKG6DMwvC8X695vZrhzDnfmR7PPOc530UIQzJoYhceHs6QIUMeuI2fnx+HDx8mJeXuRZmvXLly33USS9jZ2eHv74+/vz9t27alQYMGzJ8/n8mTJ99ze7VajVqtLv+HqIba1avFiXf6GroZohpwd7Th8Fu9Dd0MIbRe7fgYPRp54F/LoeyNhTAAgyZ2rq6uD7wtWqJdu3akp6ezb98+WrcuLn3v3buX9PT0Cq+TqChKqT505dkepK9dZSv5Pku+3+pO4kw3JM5ukRirPLXVt75HiTFhbKpEH7vGjRvzxBNPMHr0aL799lugeLqTPn36lBo40ahRI2bOnMnTTz9NdnY2M2bM4KmnnsLDw4PU1FS+/vprEhMTGThwYLmPnZmZCSC3Y3UkMzMTJ6fyd6Y3VRJnuiVxJjGmaxJjwlhUicQOYNmyZbz++uuEhYUB8NRTT/Hll1+W2ubUqVOkpxeva2lubs7JkydZvHgxV69epWbNmrRq1Yrt27fTtGn5O3F7enqSkJCAoij4+PiQkJCAo6Nj5X2wKqKkr2FlfX5FUcjMzMTT07MSWlf1SZwVkzjTnZIYc3BwIDMzs1K/56pEYkyYOpUi9eNyycjIwMnJifT09Gp3IgT5/PpS3b/n6v759aU6f8/V+bOL6kHmqxBCCCGEMBGS2AkhhBBCmAhJ7MpJrVYzderUajsVSnX//PpS3b/n6v759aU6f8/V+bOL6kH62AkhhBBCmAip2AkhhBBCmAhJ7IQQQgghTIQkdkIIIYQQJkISOyGEEEIIEyGJnRBCCCGEiZDETgghhBDCREhiJ4QQQghhIiSxE0IIIYQwEZLYCSGEEMLkTJs2jRYtWhh8H/omiZ0QQgghqqSRI0eiUqlQqVRYWlpSr149Jk2aRHZ2NpMmTWLjxo2ltu3fv7/hGqsnFoZugBBCCCHEw3riiSdYuHAhBQUFbN++nVGjRpGdnc28efOwt7c3dPP0Tip2QgghhKiy1Go17u7ueHt7M2zYMJ577jlWrlxZ6jbqtGnTWLx4MX/88Ye2wrdlyxYAEhMTGTJkCC4uLtjZ2RESEsLevXtLHWPJkiX4+fnh5OTEkCFDyMzM1POnLD+p2AkhhBDCZNjY2FBQUFDqtUmTJnHixAkyMjJYuHAhAC4uLmRlZdG5c2fq1KnDqlWrcHd3Jzo6Go1Go33vuXPnWLlyJatXr+batWsMGjSIWbNmMWPGDL1+rvKSxE4IIYQQJmHfvn389NNPdO/evdTr9vb22NjYkJeXh7u7u/b1RYsWceXKFfbv34+LiwsA/v7+pd6r0WhYtGgRDg4OAAwfPpyNGzcabWInt2KFEEIIUWWtXr0ae3t7rK2tadeuHZ06dWLu3Lnlem9MTAxBQUHapO5e/Pz8tEkdgIeHB5cvX37kduuKVOyEEEIIUWV17dqVefPmYWlpiaenJ5aWluV+r42NTZnb3Lk/lUpV6latsZGKnRBCCCGqLDs7O/z9/fH19X1gUmdlZUVRUVGp15o1a0ZMTAxpaWm6bqbeSGInhBBCCJPn5+fH4cOHOXXqFFevXqWgoIChQ4fi7u5O//792blzJ7Gxsfz+++/s3r3b0M19aJLYCSGEEMLkjR49moYNGxISEkKtWrXYuXMnVlZW/PPPP9SuXZsnn3ySwMBAZs2ahbm5uaGb+9BUiqIohm6EEEIIIYR4dFKxE0IIIYQwEZLYCSGEEEKYCEnshBBCCCFMhCR2QgghhBAmQhI7IYQQQggTIYmdEEIIIYSJkCXFyqDRaLh06RIODg6oVCpDN8dkKIpCZmYmnp6emJnJ9YXEmW5InN0iMaYbEmOlSZzpRkXizKQTu5kzZxIZGcnJkyexsbEhNDSUDz/8kIYNG5Z7H5cuXcLb21uHrazeEhIS8PLyMnQzDE7iTLckziTGdE1irJjEmW6VJ85MOrHbunUr48aNo1WrVhQWFvLf//6XsLAwjh8/jp2dXbn24eDgABR/mY6OjrpsbpWiKMojXY1lZGTg7e2t/X6rO4mz+3uUWJM4u8UUYkyjUSgo0mBupsLC3DiqYxJjpZlCnBmjisSZSSd2f//9d6nnCxcupHbt2kRFRdGpU6dy7aPkB8XR0VGC9KaNp5IZNH873w5tw7NBPo+0LynVF5M4u7eEa9m0/vhvBrX05fNngh86XiTOqnaMHUxIY+7WU6w8nMi1nHzMVCq6N3RjVKg/A4N8jOL/rzG0wRhU5Ti7naIo7Dh3he92nmHb2cskZeTS0tuZ51vVZVynxwz2/7s8xzXpxO5O6enpALi4uNx3m7y8PPLy8rTPMzIydN6uqmbTqWTScvJZfzLpkRM7IR5k+9nLJGfkMmfLKVrUcebFdvUN3SShRzfyC5m8Koa5W0+juW31S42isP5kMutPJvOVf23mP9cW/1pSMROVI/FaDi8s2cXm0ymlXt8bl8reuFS2nElh0fB22KstDdTCB6s2iZ2iKERERNChQwcCAgLuu93MmTOZPn26HltW9eQWFgGQV6gxcEuEqSvU3PoxH/frfs5eyWRUqD91Xe0N2CqhD+evZjHgh23EJF4DYFBLH17r+BjN6zhzOTOXpfvP88mmE2w7e5n2n/7Dln89TmN3JwO3WlR1W8+kMOD7baTl5KO2MOOF1vUYHOyLdw1bVh1J5K0/D/F7TAKFGoXIUZ0wMzO+Sq1xdFLQg/DwcA4fPszy5csfuN3kyZNJT0/XPhISEvTUwqrjRkFJYldk4JYIU3f7xcONgiI++OcYzWau4a9jFw3YKqFrp1MyaPvJOmISr1HLXs1fr3Xll5c60rmBGzVsrXjMzZF3+zTn+Nt9aOFVnOh1m7OBC2lZhm66qMJ2xV6h97wtpOXkE+ztwtH/9uG7YW3o3tCdx9wcmfR4EzaM74aVhRl/HE7kw/XHDN3ke6oWid348eNZtWoVmzdvLnM0iVqt1vYNqOp9BHQlt0AqdkI/Si4e+jXz4peXOtDWz5WsvEL6fLOVLzafRLnt9pwwDRfSsug+dyOXM3NpVqcG0f/3JE808bzntr4u9mwI706zOjVIzshl+OJdFGnkvCQq7lRKBk/O20x2fiE9GrmzIyLsnrf3O/m78eXAVgC8vfow0Qlp+m5qmUz6VqyiKIwfP54VK1awZcsW6tata+gmmQSp2InyKtJo2HgqhV2xVzh9OYP8Ig0qlQorczNsrcwxU6nIzi/kWk4+luZmTA5rShs/V+37Sy4eHNQWDGrpS/9mXoxdvo9Fe2OZ8HsUO2Ov8PYTATSr42yojygq0dWsXHp+tZnE6zk0cnNkQ3h3ajlYP/A9Ne3VrBjdieYz17L93BVmbzzB//VoqqcWC1OQlVfAgO+3kX6jgHZ1XVkxujPWlub33X50e382nEri1+h4xv+2nx1vhBnV4BmTTuzGjRvHTz/9xB9//IGDgwPJyckAODk5YWNjY+DWVV1SsRNlSb+Rz/xd55iz9RQX0rLL/b5VRxKZ2iuQqU82A25dPKgtik+yVhbmLHi+Lc29nJm0IprfDsbz28F4PJ1s8K/lgLWFObZW5qwY07nyP5TQqZz8Qvp+s5VTKRl4O9uyvhxJXYl6rg588WwILy/bw9Q1hxkS7Iuvi/TDFGVTFIVRy/ZyPDkdD0cbIkd3wk5ddmr0ydPBrDl6iV2xV1my7zwvtKmnh9aWj0kndvPmzQOgS5cupV5fuHAhI0eO1H+DTIRU7MT9XMvJY/aGE8zddorM3EIAXGyt6B1Qh2aeNbC1skBRFPIKNdwoKKJIUbC1NMfZ1ootZ1JYuj+OaWuPENbIg3b1amkvHtQWt3qNqFQqJnRtRGhdV2ZvPMGKQwlcSr/BpfQbANg84EpbGKcijYbnFu1kT9xVXGytWDeuG17OthXax4tt6/Hj3li2nr3M238eYsmI9jpqrTAlc7ee4pfoC1iYqfjt5Q64O5av6OPlbMs7vQJ4848Y3l59iMEtfVEbybnHpBM76X+jG6Zcsdu2bRsff/wxUVFRJCUlsWLFCvr371+u9+7cuZPOnTsTEBBATEyMTttpbNKy85i98QRfbTtNRm4BAE3cnXijWyOeC/HDxqrsU83Lof5YW5rzw65zvBEZxa6InndV7G7X2s+VX1/uSMaNAo4np3MhLYv8Ig3yz77qmbTiICsPJ6K2MGPV2M4PNbpVpVIx++mWtPr4b5buj2NC10YE+9TUQWuNT1mrLBUUFPD222+zdu1aYmNjcXJy4vHHH2fWrFl4et7qv5iXl8ekSZNYvnw5N27coHv37nz99dcmu6LG3rirTIyMBmD20y1pX792hd7/ry6NmLPlFAnXcliw5xyvdnxMF82ssGoxeEJUrlvTnZhexS47O5vmzZvz5ZdfVuh96enpvPDCC3Tv3l1HLTNeG08lEzBjDTP/OUZGbgGBnjWIHN2Jo//tzahQ/3IldSXe69McOysL9sal8ntM/D0rdndytLGkbV1XBgf7Mbx1PaO6JSLK9uXWU3y++SQAi4e3q/CP6+1CfGsyLMQPgGlrj1RG86qEklWW9uzZw/r16yksLCQsLIzs7OJuEDk5OURHR/POO+8QHR1NZGQkp0+f5qmnniq1nwkTJrBixQp+/vlnduzYQVZWFn369KGoyPTO9Zm5BQxbtJNCjcKglj683qX8S42WsLY0Z3JYcX/OD9YdI6/AOL4nk67YCd24YcIVu169etGrV68Kv2/s2LEMGzYMc3NzVq5cWfkNM0KKovDpppP8e2U0igIN3RyZ9VQLngr0eui5ndwdbXg5tD5ztpxi29nLFN0sv92rYieqvr+OXeRf/4sC4IO+zRkc7PfI+5zaK5Cfoy6w+uhFDiVeo7mX6Q+sKWuVJScnJ9avX19qm7lz59K6dWvi4+Px8fEhPT2d+fPns2TJEh5//HEAli5dire3Nxs2bKBnz556+zz6MP63A8RezcLXxY5vh7R56MEPo0L9mbX+GInXc/hx33lGt/ev5JZWnFTsRIWV3IrNNZKrE0NbuHAh586dY+rUqeV+T15eHhkZGaUeVc3EyGgmrShO6l5uV5/o/+tF/+bejzxhZ2374g7zuYVF5arYiarpWNJ1Bi/cgUZReKldfd4Mq5yRrI+5OTLw5oo4s4x0njFdK88qS+np6ahUKmrUqAFAVFQUBQUFhIWFabfx9PQkICCAXbt23Xc/VfFctmz/eRbvjcVMpWLJC6HUsLV66H1ZW5oT0bUxAF9sMY4pmORsKSpMBk/ccubMGd58802WLVuGhUX5C+AzZ87EyclJ+/D29tZhKyvf/F1n+WzzSVQq+HRAS74f1gbbCtxyfZCSwQ83Coq0Fw9SsTMtSek36PPNFjJzC+nkX5t5g1tV6nQRJbfHfo2O59yVzErbb1VQnlWWcnNzefPNNxk2bJh2rtbk5GSsrKxwdi5d4XRzc9POKHEvVe1cduZyBq/8vA+AKb0C6Oj/8Lf+S7zUrj52VhYcS0pn46n7f1f6IomdqDBTHjxREUVFRQwbNozp06fz2GMV6zRblVc42XgqmXG/7gfg/T7NeaNb40r9US6ZPyq3oOi2wRNyqjIVmbkF9J63mbjUbPxrOfD7qI5YVXLi3tzLmSeaeKBRFOZsPVWp+zZ2Za2yVFBQwJAhQ9BoNHz99ddl7k9RlAf++65K57LsvEIGfL+NrLxCujRw4+0n7r+8aEXUsLXixbbFfXtL+osakpwtRYWZ8uCJisjMzOTAgQOEh4djYWGBhYUF7777LocOHcLCwoJNmzbd971VcYUTjUbhjd+jeHzuRvIKNfQJqMObOpgItnRid/NWrJFMIyAezZXMXLrP3cjBm0uF/f1aV1ztyzdXXUW9cfP22ILd50i/ka+TYxibslZZKigoYNCgQZw/f57169eXOu+4u7uTn5/PtWvXSr3n8uXLuLm53feYVeVcpigKo37aw9GkdNwdrVk2IhRzs8pLgUoGX6w9fsngS9tJYicq7Ea+VOwAHB0dOXLkCDExMdrHK6+8QsOGDYmJiaFNmzaGbmKl+r8/DmqvRse092f5i+11sgD27bdipWJnOi6kZdHhs3/YfyGVmnbF67/Wv8eSTZWlRyN3mrg7kZVXyA+7zunsOMZAURTCw8OJjIxk06ZN91xlqSSpO3PmDBs2bKBmzdJTwQQHB2NpaVlqkEVSUhJHjx4lNDRU559B19796wg/R5XMV9cRzxoVmyexLA1qO9LtMTcUBRbsjq3UfVeUjIoVFVJYpKFQU9w5tEijUKTRVOpVj6FlZWVx9uxZ7fPz588TExODi4sLPj4+TJ48mYsXL/Ljjz9iZmZ2Vx+W2rVrY21tfd++LVXVN9tPM3vjCQB+fKEdw1vrbkoRbcWusAiLm7ElfeyqthPJ6YR9uYnE6zn4ONuyblw3Gj3EXHUVUTKR9Zjle/lq22ne6NpIJxcixqCsVZYKCwt59tlniY6OZvXq1RQVFWm3cXFxwcrKCicnJ15++WUmTpxIzZo1cXFxYdKkSQQGBmpHyVZVi/fEaqe/+WpQKzo8wpQ6DzIq1J9Np1NYsPscU3oFGOy30Wh/kbOzs3nnnXcIDQ3F39+fevXqlXoIw8i94/arqVXtDhw4QFBQEEFBQQBEREQQFBTElClTgOIr2Pj4eEM2Ue92x17h9ZtTUrzfp7lOkzq4rWKXbxoVuxkzZhAaGoqtra12BOKd4uPj6du3L3Z2dri6uvL666+Tn1/69uGRI0fo3LkzNjY21KlTh3fffdcoRuCVZd3xS7T7ZB2J13No7O7IzoieOk/qSjzXyg8nG0vOp2ax7sQlvRzTEObNm0d6ejpdunTBw8ND+/jll18ASExMZNWqVSQmJtKiRYtS29w+4vWzzz6jf//+DBo0iPbt22Nra8uff/6JuXnVvbBac/QiL/+0B4A3ezRhTIcGOjvW0829cbG1IvF6Dn8fT9LZccpitBW7UaNGsXXrVoYPH46Hh4dRLbBbnd05xUleYVGljYY0Bl26dHngj+WiRYse+P5p06Yxbdq0ym2UAV3JzGXggu0UFGkYGOTDWz11v7i6tcWtip1yx2tVUX5+PgMHDqRdu3bMnz//rr8XFRXRu3dvatWqxY4dO0hNTWXEiBEoisLcuXMByMjIoEePHnTt2pX9+/dz+vRpRo4ciZ2dHRMnTtT3RyqXIo2GGeuOMX3tETSKQvt6tVg5ppPO+tTdi62VBSPb1OOLLaeYt/0MvZrW0dux9amsBN/Pz69cFwHW1tbMnTtXG3dV3bazKQycv50ijcLzrfyY0beFTo9nbWnOC23q8fnmkyzcc47eAYaJN6P9Rf7rr79Ys2YN7dvLen/G5MZdiZ1pVezELYqiMHLpbi5ev0FDN0fmP9dWLxdYNla3+tiVqMq3YqdPnw7c/6Lgn3/+4fjx4yQkJGiXd/rkk08YOXIkM2bMwNHRkWXLlpGbm8uiRYtQq9UEBARw+vRpPv30UyIiIozuwndf3FUm/B7F7vNXgeJ5Dr8a1Mogg2Be7fgYX2w5xepjF7mQloWvi73e2yD0b/PpZPp8s4UbBUX0auLJgufb6eVW/IttixO7VUcukpqVR017tc6PeSejvb/h7Oz8wMkVhWHcq2InTNOcLadYe+wSagszfnupAw7Wlno5rrZiV1A9JijevXs3AQEBpdbs7NmzJ3l5eURFRWm36dy5M2q1utQ2ly5dIi4u7p77NcTEsSeT0xm8YDttZq9j9/mr2FlZ8OML7fjhubYGG9nc0O1Wp3ZTH0QhivuBv/fXEcK+3EROfhFPNPHg91EdsTTXzzmkWR1ngrycKSjS8NOBOL0c805Ge7Z87733mDJlCjk5OYZuSoUUFGnILSiqEn1fHsZdiV2BVOxM0e7YK/x75UGgeHHswDr6W5bp1nQnmlt97Ex4upPk5OS7ppNwdnbGyspK28H9XtuUPL/f5LH6mjhWo1HYFXuFoQt30GTGan6Njkelghda1+XkO3113iezPMbcXOZpwe5zFBbJOctUnU7JoMNn/zBlzWEKNQpDgn1ZMbpzhdarrgwjb85pt2ivYUbHGtWt2KCgoFK3FM6ePYubmxt+fn5YWpauFkRHR+u7efek0ShsOZPC8qg4Np1O4UJaNkUaBQszFV7OtjR2c6JXE0+GBPtSy0F/fUt05c5bsXcOphBVX0rGDZ6dX9yv7pkW3ozrVLHJlx/VrelOCrEwLz4fGFvFbtq0adpbrPezf/9+QkJCyrW/e91KvXNi2Du3Kbl4vN9t2MmTJxMREaF9npGRUWnJnaIo7I1L5ZfoC/x28AIXr9/Q/q1fMy/e691MrxcDZenfzBtXezWX0m/w1/FL9A28e443UXUVFGn4bNMJpq09wo2CIpxsLPl6UCuGhvgZpJvCsBA/Jq04SHRCGkcuXtP7vwWjSuz69+9v6CaUW2pWHgv3nOObHWc4d/XuyQgLNQpxqdnEpWbz1/FLvL36ENOeDGR854ZY6KkkrAumPiq2uiuexHMvl9Jv0NjdkYXPt9P7ibGkYpdXqMEi3ziXFAsPD2fIkCEP3MbPz69c+3J3d2fv3r2lXrt27RoFBQXaqpy7u/tdlbnLly8D3HfyWLVaXerW7cNSFIWUzFwOX7zO1jMpHE1KJzohjcTrt+6mOFhb0C/Qi4ndG9PCy/i60KgtzRnRuh6fbDrBdzvPSmJnIgqKNPwafYHpa49w5ubScd0ec2PR8HZ4O9sZrF2u9tb0CajDikMJLN57ntkDqnFiV5FF1A0h4Vo2b62K4WhSOseS0im4WdJ3tLZkcEtfng3yIcDDCXu1Jem5+cSnZbP7/FWW7o/j0MVrRERGs2x/HAueb0szI7qarYiSyYlLSB8707Jsfxyrj17EysKMX1/qqLd+dbezue22a3Z+IWB8FTtXV1dcXV0rZV/t2rVjxowZJCUl4eHhARQPqFCr1QQHB2u3eeutt8jPz8fKykq7jaenZ7kTyDvN2XISZ1sr+gZ4UcPWioIiDSkZuZy7msmxpHR2xl7h8MVrxKZmkZN/979ze7UFfQPqMDjYl56NPbUJubEa3d6fTzadYO2xSyRey8HLuXInqBX6oSgKBxOvsfxAHEv2nSclMxcAV3s1H/cPYkSbekYxmGhkm3qsOJTA0v3nmdWvhV4LOkaV2N1u//79aDSau2bv37t3L+bm5uW+xVGZrC3MWbo/Tvs8yMuZVzs+xtAQX+zVpX8AHW0s8Xa2o3392kR0a8yCPef4z8qDRCWkEfLR37z9RACTw5rqrUNnZZGKnem6dD2H1/93AICpvQIJ8KxhkHbcK0EwtopdRcTHx5OWlkZ8fDxFRUXExMQA4O/vj729PWFhYTRp0oThw4fz8ccfk5aWxqRJkxg9erR2eaaSNYlHjhzJW2+9xZkzZ/jggw+YMmXKQ/2I5RcWMWXNYdJvFGBhpkJtYa5Nou9FpYK6Ne3pWL82rXxcaOTuRPt6tYw+mbtdQzdHOvvXZuvZyyzYc44pvQIN3SRRTnkFReyPT2X3+ass2XeeI5eua//m5mDN610aMr5zQ4NciN5Pr6ae1LJXk5KZy7oTSXqd+sRoE7tx48bxn//8567E7uLFi3z44Yd33brQh1oO1sx+uiUNajkQ4OlE3Zr25TqpmpmpGBXqT++mdXjtl32sPJzI1DWH2Rd3ld9HdapSHcNlVKxpUhSFl5bt4VpOPsHeLvzn8SYGa4uluRnmZiqKNLcGIBlbxa4ipkyZwuLFi7XPSya/3rx5M126dMHc3Jw1a9bw2muv0b59e2xsbBg2bBizZ8/WvsfJyYn169czbtw4QkJCcHZ2JiIiolQfuorILdDwry6N+D0mnmNJ6RTeTOoszFR4O9vRyM2RNn41aeVbE39XB/xq2mFVhZPrEmPa+7P17GV+2HWW//ZsalKr5piSq1m5JFzLYW/cVdYeu8TG08mlqsbWlub0DajD0BA/+gTUMcoCiaW5Gc+1qsvnm0+yaG+sJHYAx48fp2XLlne9HhQUxPHjxw3QomITuzd+6Pd6ONkQOboTyw/E8fJPe1lz7BLPzt/Ory910PuonYcl89iZpi+3nmbdiSSsLc1ZOiLU4P1Are+oIFXlit2iRYvKnNjax8eH1atXP3CbwMBAtm3bViltcrSxZHrvZkzv3Yz4tGwKNRocrS1xsVWb7LJbAANa+ODy2wESruWw7kQST5rohMXG4tL1HD745xg9G3vQ9TG3u+5sXc/J50B8KueuZhGflk1cWjZ74q4Se49+624O1rTxc6VHI3eea+WHs63+54erqJFtSua0S9TrnHZGm02o1WpSUlLuWj4sKSkJCwujbXaZVCoVw1rVxc3Rhj7fbGH10Yt0/mIDf4zpjIeTjaGbV6a7pzuRil1ly8wt4PDFa4TWq6WXviJbTqcQEVk8X9qH/VrobbmnB7G2LJ3YWRnhFbmp8HExXCdzfbt9ZYDvdp6VxE7H/j6RxFfbTvPVttOoLcwY0NwbXxc7Tl/O5GjSdc5cyeR+M4PVdrCmYW0HejXx5MmmdWhWp4ZR9J2riOZezrTwciYm8Ro/R8UxrnNDvRzXaDOkHj16MHnyZP744w+cnIp/aK5fv85bb71Fjx49DNy6R9e9oTvrxnXl6e+2sf9CKl2+WM+uiJ4GmaW6IqRip3uL9sTy+v8OEOLjwr8fb8LAIB+dndAupGXxzA/btHM+jdfTiacstw+gsDQ3M+kqktCvMe39+XzzSf48clEGUehYoGcNXu3YgL+PJ3E+NYvlURfu2qa+qz2N3Z3wcbbF18WOQM8atK9XG0cb4+kv9yhGtqnHhMQoFu6JlcTuk08+oVOnTvj6+mr7pMTExODm5saSJUsM3LrK0cnfjX3/foJuczZw+nIm/b7byvrwbkZ9W1b62OleanYeagszDsSnMXjBDn5s6smcgSHUc3Wo1ONoNAovLd1DWk4+IT4uLNDTkmHlcXun/Krcv04Yn8buTtpBFD/sOsu03s0M3SST1cq3uJ+moihExaexPCqO3IIiGtR2pKm7E829nKltAvO7PkjxnHbRROlxTjujPWPWqVOHw4cP89FHH9GkSROCg4P54osvOHLkiM5mUDeE+rUcWPtaV5xsLNkZe4Unvt5M+o18QzfrvnLvqNBJxa7yTevdjIT3nmZKr0CsLMxYc+wS9aetov2n65i25jBHbxsR9ijmbj3FptMp2FqZs/xF4+rnaVMqsau6/euEcRrboQEA3+86KytR6IFKpSLEtyafDAjmq8GtmdC1ET0ae5h8UgfFgy773Bw4sXjveb0c02gTu23btqFWqxkzZgxfffUVs2fP5oUXXkClUlVaB2Jj0dSjBmte6YKjtSXbzl6m25yNZOUVGLpZ93SjoPSUCFKx041aDtZM792M6P/rRVgjD1Qq2BV7lel/HaHFrLVMX3tYO49iRRVpNLyz+hATfi/uV/dRvyD8a1VuNfBR3V6xs7Y02tOUqKIGNL+1EsWqI4mGbo4wcSVLjC3df/6hz9sVYbRnzK5du5KWlnbX6+np6XTt2tUALdKt9vVrs3XC49SyVxOdkMZzi3ZRpDG+K8ncO9aGlSXFdKupRw3WhXcj4b2n+XZIa55s6kmRRmHa2iO0mLmWDSeTKrQ/RVEYtWwv7/99FIDxnRvyakf9LhlWHlKxE7qktjRnVLv6AHy17bSBWyNM3ZNN69ya0+74JZ0fz2gTuzvXSSyRmpqKnZ1pjuJq4eXCqrFdUFuYsepIIuN+2Y9Gc58hQwZyd8XO+JJPU1Snhi1jOjRgzatdWTYilJp2ao4np9Pjy00Mmr+dczeX03mQG/mFTPg9ikV7YzE3U/HjC+2YMzDEKAcmWFtIHzuhW690bICZSsWm0ymcSE43dHOECbM0N+P5VnUBWLgnVufHM7oz5oABAxgwYAAqlYqRI0dqnw8YMIB+/frRs2dPQkNDDd1MnWlb15XFw9uhUsG3O88yevleo6rclQyeKMm55Vas/g1rVZczU/syvnNDzFQqfjsYj//0VXT5fD3bz16+a3tFUfhuxxnqTv2DOVtOAfDDsDYMb13vrm2NhbVU7ISO+brYa/s+fV3Fq3YzZ86kVatWODg4ULt2bfr378+pU6dKbRMZGUnPnj1xdXVFpVJpV0C5XV5eHuPHj8fV1RU7OzueeuopEhPlVnVlKLkd++fRi1y5uQyarhhdYufk5ISTkxOKouDg4KB97uTkhLu7O2PGjGHp0qXl3t+2bdvo27cvnp6eqFQqVq5cqbvGV5LBwX78ODwUM5WKBbvPMWqZ8SR3JdOdOFkXr1cpFTvDcLZVM2dgCNH/14teTTxRqWDr2ct0+nw9/b7dyq/RF3j3ryM8v3gnbWevY+zP+0jJzMXH2ZalI0IZ2ba+oT/CA9nIqFihB+GdirshLNoba9SD1sqydetWxo0bx549e1i/fj2FhYWEhYWRnZ2t3SY7O5v27dsza9as++5nwoQJrFixgp9//pkdO3aQlZVFnz59KCqSC/hH1ayOM618a1JQpGHJPt0OojCeYXA3LVy4EAA/Pz8mTZr0yLdds7Ozad68OS+++CLPPPNMZTRRL55vXRdLcxXPLd7For2xqFTww7C2Br9tVlKxc7Kx5PqNfJmg2MCaezmz9rWuJF7L4b2/j/D9rrOsOpJ4V4dwG0tzZvRtTnjnhka5/M6dpGIn9OHxRu40dnfkRHIGC/fEMqFrI0M36aH8/fffpZ4vXLiQ2rVrExUVRadOnQAYPnw4AHFxcffcR3p6OvPnz2fJkiU8/vjjACxduhRvb282bNhAz549dfcBqomX29Vn/4VUfth9lje6NdLZ9FJGe4afOnVqpfSl69WrF++//z4DBgyohFbp1+BgP34a2R5zMxUL98QSERmFcr9puvWkZLqTGjamWbGraIV3x44dtG/fnpo1a2JjY0OjRo347LPP9NPY23g52/Lt0DYc+28fxnduSCM3R55p4c1H/YOYN7gVx9/uwxvdGleJpA6kYif0Q6VS8frNSWPnbj1lNHdGHlV6enGfQRcXl3K/JyoqioKCAsLCwrSveXp6EhAQwK5du+77vry8PDIyMko9xL0NDfbD1sqcE8kZ7D5/VWfHMaqKXcuWLdm4cSPOzs4EBQU9MJuNjo7WSRvy8vLIy8vTPjd0kA5q6UtuQREjluzmiy2nSL9RwLwhrUtVNPSpZPCE081ZwU2tj11FK7x2dnaEh4fTrFkz7Ozs2LFjB2PHjsXOzo4xY8boocWlNXZ3Ys7AEL0ft7JJxU7oy/DW9Zi86hCxV7NYffQi/ZpV7XlSFUUhIiKCDh06EBAQUO73JScnY2VlhbNz6Ql03dzcSE5Ovu/7Zs6cyfTp0x+6vdWJo40lg4J8WbQ3lm93nCG0Xi2dHMeoErt+/fqhVhcvqdW/f39UKpXeK1TGGKQvtKnHjYIiXvtlP4v2xnI8OZ0/X+likMkdS6Y7MdWKXa9evejVq1e5tw8KCtKujALFXQgiIyPZvn27QRI7UyEVO6EvdmoLxnbw58P1x5m98USVT+zCw8M5fPgwO3bsqJT93W+GihKTJ08mIiJC+zwjI8OkFhGobGM7NGDR3lh+ib7ApwOCdbKMqFEldlOnTiUnJ4dx48axcuVKCgoK6N69O3PnzsXV1VUvbTDWIB3boQH1Xe0ZvGAH+y6kEvrJOv56rSsNajvqtR2mXrF7VAcPHmTXrl28//77D9zO2CrDxkYqdkKfXu/ckE83nWTHuSvsjr1COx1VUnRt/PjxrFq1im3btuHl5VWh97q7u5Ofn8+1a9dKVe0uX778wJko1Gq1tiAjytbGryZBXs4cTLzGor2xTOzeuNKPYXSXwlOnTmXRokX07t2boUOHsmHDBl599VW9HV+tVuPo6FjqYSweb+TBrok9qVvTnnNXswj99B/2xenuPv29lFTsnKxLEjvTqtg9LC8vL9RqNSEhIYwbN45Ro0Y9cPuZM2eWGvFtDBcPxsT6tiqdVOyErnnWsGV46+J5xj7acNzArak4RVEIDw8nMjKSTZs2Ubdu3QrvIzg4GEtLS9avX699LSkpiaNHj5r0FGP6plKptJPCz9t+Widz1RrdGTMyMpL58+fz3Xff8cUXX7BmzRpWrlwpw61vaujmyO6JYQR7u3A1K4/OX2zgs00n9Nbpt2RUbA3bklux8v8FYPv27Rw4cIBvvvmGzz//nOXLlz9w+8mTJ5Oenq59JCQk6KmlVYON5a2bCVKxE/ow6WblZOXhxEpbj1lfxo0bx9KlS/npp59wcHAgOTmZ5ORkbty4od0mLS2NmJgYjh8vTlxPnTpFTEyMtv+ck5MTL7/8MhMnTmTjxo0cPHiQ559/nsDAQO0oWVE5hoX44WhtybmrWfx9ovJXojC6xC4hIYGOHTtqn7du3RoLCwsuXXq4D5+VlUVMTIx2Msbz588TExNDfHx8ZTTXINwcbdgy4XF6N/Ukt6CIiMhoQj/5h6j4VJ0f+9Y8dsUVu1yp2AFQt25dAgMDGT16NG+88QbTpk174PbGXBk2BtbSx07oWWN3J55pUVw5n7HuqIFbUzHz5s0jPT2dLl264OHhoX388ssv2m1WrVpFUFAQvXv3BmDIkCEEBQXxzTffaLf57LPP6N+/P4MGDaJ9+/bY2try559/Ym4uF1eVyU5twajQ4rlEP998stL3b3RnzKKiIqysrEq9ZmFhQWFh4X3e8WAHDhwo1cE9IiKCoKAgpkyZ8shtNSR7tSV/vtKFb4e0xsHagn0XUmn98Tqmrz2s0+pdydqwUrG7P0VRSvWfExV3++AJQ40ArywzZswgNDQUW1tbatSocdffDx06xNChQ/H29sbGxobGjRvzxRdflNomLi4OlUp11+PO+cvEo3nniUAAfom+UKWWGVMU5Z6PkSNHarcZOXLkPbe5/SLU2tqauXPnkpqaSk5ODn/++ad0E9GR8E7FKwetP5nMsaTrlbpvoxo8AWiD8fbOmLm5ubzyyiul5rWLjIws1/66dOli8LnfdEWlUjGmQwP6BnoxMTKK5VEXmLb2CBtOJfP5M8EE+9Ss1OMpinLrVqyJjorNysri7Nmz2uclFV4XFxd8fHyYPHkyFy9e5McffwTgq6++wsfHh0aNiic23bFjB7Nnz2b8+PEGab+pMKXBE/n5+QwcOJB27doxf/78u/4eFRVFrVq1tJPB7tq1izFjxmBubk54eHipbTds2EDTpk21zysyT5koW3MvZ/o382Ll4USmrjnMry93LPtNQjyEuq729G/mReShBD7bdJIfnmtbafs2usRuxIgRd732/PPPG6AlVYeHkw0/vdiBJ5vW4ZWf97Hj3BVCPvqbno09eK3jY/QO8MTc7NGLs7cncTVMdFTsgQMH6Nq1q/Z5yQjpESNGsGjRIpKSkkrdxtdoNEyePJnz589jYWFB/fr1mTVrFmPHjtV7202JKU13UjJ90qJFi+7595deeqnU83r16rF7924iIyPvSuxq1qyJu7u7Ttopik3v3Yw/jiTy28F49l9IpZVv5V4gC1EiolsjIg8l8OO+80zv3Yw6NWwrZb9Gl9iVLCkmKu751nXp5F+bd1YfYsn+86w7kcS6E0n4utjxry4NGduhAbZWD/+/vGSqEwCnkopdgWlV7Mqq8N754zx+/HipzumAKVXsHkZ6evo9q3FPPfUUubm5NGjQgDfeeINnn332vvuQKXUeTrM6zgxvVZcf953nPysPsun17jpb+klUb+3r16aTf222nb3MJxtP8OkzwZWy36p9KSzu4uNix+IXQjk79Sn+/XhjXGytuJCWTURkNH5TVhLxexS7Y69QWFTxhGzDyeLRU2oLM+zVxQmiqVXshHGoztOd7N69m19//bVU1dfe3p5PP/2U//3vf6xdu5bu3bszePBgli5det/9yJQ6D++9Ps1RW5ix5UwKKw8nlv0GIR7SW2HFXSu+3XmGK5m5lbLP6nXGrEbquTrwUf+WJL7/NN8NbYNfTTuuZOXx2eaThH76Dy7/9xvd5mzg3yuiWXEogYRr2fetVGk0Cn8du8jIpbsBGNfpMe2Pran1sRPGwcbKuKc7mTZt2j0HM9z+OHDgQIX3e+zYMfr168eUKVPo0aOH9nVXV1feeOMNWrduTUhICO+++y6vvfYaH3300X33JVPqPDwfFzsmdiue/mTC/w6Qk/9wg/eEKEtYYw+CvV3IyS/i442VM4ei0d2KFZXLxsqC0e39Gdm2Hn8fv8Sy/XH8czKJazn5bD6dwubTKbDxBFC8mkSDWg54OtliZ2VOgUYhNTuPk8kZJGUUz4cU1siDD/sFkXLzykIqdkIXrC2Mu49deHg4Q4YMeeA2fn5+Fdrn8ePH6datG6NHj+btt98uc/u2bdvyww8/3PfvsiLAo3mrZwBL958n/loOH6w7yvt9Wxi6ScIEqVQq3u3TjN7ztjB362kmdGmE5yP2tZPErpqwNDejb6AXfQO9KNJoOHopnaiENPbGXWVX7BVOpGSQfqOAA/FpQNpd73e0tmRYiB+z+rXAwtxM+2NbqFHQaBTMzO7fByUzt4BzVzOJvZpFa19XvJwrp4OoMF3GPnjC1dW1Upc5PHbsGN26dWPEiBHMmDGjXO85ePAgHh4eldYGUZqd2oLPnw1hwPfb+HD9cZ4N8qGFl4xCFpWvVxNP2terxc7YK7z391HmDWn9SPuTxK4aMjczo7mXM829nHmpXfEkiXkFRZy5ksmZK5lcycwlO78QK3MznGys8KtpR0tvl1IDL26/PZZXWKS9dXY6JYOdsVeISkjjyKXrnEzJ4PJt/QaWjgjluVYVX+5GVC+mNHgiPj6etLQ04uPjKSoq0k6W7u/vj729PceOHaNr166EhYURERGhXQnA3NycWrWK1yxdvHgxlpaWBAUFYWZmxp9//smcOXP48MMPDfWxqoX+zbwY0NybyEMJvLh0D/v+/QSW5sZ3oSGqNpVKxYy+zenyxQa+33WWf3VpSCN3p4fenyR2AgC1pTkBnjUI8KxRvu1vq6Jk5RWyYPc5vtx2mpMp9x5552qvpl5N+1KVGCHux9rSdAZPTJkyhcWLF2ufl0yWvnnzZrp06cJvv/3GlStXWLZsGcuWLdNu5+vrS1xcnPb5+++/z4ULFzA3N+exxx5jwYIFMhWUjqlUKr4a3IotZ1KISbzGu38d4b0+zQ3dLGGCOjdwo09AHVYfvch/Vh5k1StdHnpfKsVUZ++tJBkZGTg5OZGeni7LPt1GURTMxv8EgIutFWk5+UDxLd92dV1p5VOT5l41aOLuhH8tB+30KCXkey1Nvo/ScguKsHnjZwA2ju9Ot4YPN3ebfK+3yHfx8H6JimPIwp2YqVRs/ld3Ovm7af8m32tp8n08vJPJ6QR8sIYijcKG8d3pftt5ryLfa9W+FBYGo1KptJWUtJx8atmr+XJgCFdmPcPWCT2YPaAlw1vXI9in5l1JnRBlUVfj6U6E8Rkc7MfINvXQKArDFu0k5eZgMiEqUyN3J17t0ACAcb/uJ6/g4QYnyhlTPLTbpzpZH96dcZ0bShInKoVKpdL2s6vqfeyEaZgzMISGbo5cvH6DQQt2UPAQc4EKUZZ3+zSjtoM1p1IymH1zxoqKksROPLK+AXVo7uVs6GYIE1PSH9Na+mUKI+BgbcnK0Z1wsLZg29nLTIyMNnSThAlytlXz2YCWALy/7ijnrmRWeB+S2ImHNvOpFvRr5sXSEe0N3RRhgl7v3JC+AXVo7C79dIRxaOTuxJIXQrGxNCfER6Y+EboxNMSP7g3dCfSsQf5DVIZlVKx4aG/eXApFCF2Y1ruZoZsgxF36NfMmdno/3B1tDN0UYaJUKhW/vtQBJxtLzM0qXn+TxK4MJYOGZQHtylXyfcqg7GISZ7ohcXaLxFjlsQUyMgoAibE7SZxVDgsgOytP+7wicSaJXRkyM4vvb8sC2rqRmZmJk9PDT8RoKiTOdEviTGJM1yTGikmc6VZ54kzmsSuDRqPh0qVLKIqCj48PCQkJ1XJunoyMDLy9vSvt8yuKQmZmJp6enpg9RKnZ1EicFZM4052SGHNwcCAzM7NSv+eqRGJMt+RcVsyQcSYVuzKYmZnh5eWlLYM6OjpWyyAtUZmfX65ub5E4K03irPKVxBgU9+GB6h1nEmO6Ieey0gwRZ3J5IYQQQghhIiSxE0IIIYQwEZLYlZNarWbq1Kmo1WpDN8Ugqvvn15fq/j1X98+vL9X5e67On12fqvv3bMjPL4MnhBBCCCFMhFTshBBCCCFMhCR2QgghhBAmQhI7IYQQQggTIYmdEEIIIYSJkMSunL7++mvq1q2LtbU1wcHBbN++3dBN0otp06ahUqlKPdzd3Q3dLJMkMSYxpg8SZxJn+lAd48xYYkwSu3L45ZdfmDBhAv/97385ePAgHTt2pFevXsTHxxu6aXrRtGlTkpKStI8jR44YukkmR2JMYkwfJM4kzvShOseZUcSYIsrUunVr5ZVXXin1WqNGjZQ333zTQC3Sn6lTpyrNmzc3dDNMnsRYc0M3o1qQOGtu6GZUC9U1zowlxqRiV4b8/HyioqIICwsr9XpYWBi7du0yUKv068yZM3h6elK3bl2GDBlCbGysoZtkUiTGJMb0QeJM4kwfqnucGUOMSWJXhqtXr1JUVISbm1up193c3EhOTjZQq/SnTZs2/Pjjj6xbt47vv/+e5ORkQkNDSU1NNXTTTIbEmMSYPkicSZzpQ3WOM2OJMQu9Hq0KU6lUpZ4rinLXa6aoV69e2v8ODAykXbt21K9fn8WLFxMREWHAlpkeiTGJMX2QOJM404fqGGfGEmNSsSuDq6sr5ubmd11pXL58+a4rkurAzs6OwMBAzpw5Y+immAyJsdIkxnRD4qw0iTPdkDi7xVAxJoldGaysrAgODmb9+vWlXl+/fj2hoaEGapXh5OXlceLECTw8PAzdFJMhMVaaxJhuSJyVJnGmGxJntxgsxgw7dqNq+PnnnxVLS0tl/vz5yvHjx5UJEyYodnZ2SlxcnKGbpnMTJ05UtmzZosTGxip79uxR+vTpozg4OFSLz65PEmMSY/ogcSZxpg/VNc6MJcakj105DB48mNTUVN59912SkpIICAhg7dq1+Pr6GrppOpeYmMjQoUO5evUqtWrVom3btuzZs6dafHZ9khiTGNMHiTOJM32ornFmLDGmUhRF0esRhRBCCCGETkgfOyGEEEIIEyGJnRBCCCGEiZDETgghhBDCREhiJ4QQQghhIiSxE0IIIYQwEZLYCSGEEEKYCEnshBBCCCFMhCR2QgghhBAmQhI7IYQQQggTIYmdEEIIIYSJkMTOBISHh9OhQ4d7/s3Pz48ZM2bouUXC1EiMCX2QOBO6Vh1izMLQDRCP5vjx48ybN49t27bd8++NGzcmJiZGv40SJkViTOiDxJnQteoSY1Kxq+I+/vhjWrVqRfv27e/5dxcXF1JSUvTcKmFKJMaEPkicCV2rLjEmiV0VVlhYyO+//84zzzyjfW3s2LHMnz9f+zwzMxM7OztDNE+YAIkxoQ8SZ0LXqlOMSWJXhZ07d47MzEwCAwMB0Gg0/Pbbb9jb22u3OXz4MI0bNzZUE0UVJzEm9EHiTOhadYoxSeyqsOvXrwNoA3PdunVcu3YNKysrAPbt28eFCxfo37+/gVooqjqJMaEPEmdC16pTjMngiSrM19cXlUrF8uXLsbOzY+LEiTz55JP88ccf+Pn5MXbsWLp160anTp0M3VRRRUmMCX2QOBO6Vq1iTBFV2gcffKA4Ojoqbm5uyvfff68cOnRI8fPzU2xtbZXBgwcrqamphm6iqOIkxoQ+SJwJXasuMaZSFEUxdHIphBBCCCEenfSxE0IIIYQwEZLYCSGEEEKYCEnshBBCCCFMhCR2QgghhBAmQhI7IYQQQggTIYmdEEIIIYSJkMROCCGEEMJESGInhBBCCGEiJLETQgghhDARktgJIYQQQpgISeyEEEIIIUyEJHZCCCGEECbi/wHZI2peh8Vq8AAAAABJRU5ErkJggg==", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# plot coefficients\n", "radiating_dofs = bem_data.radiating_dof.values\n", @@ -461,7 +555,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -640,7 +734,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -711,7 +805,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -764,7 +858,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -800,7 +894,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -860,9 +954,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 19, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[ 0. 0. 0. 0. ]\n", + " [ 0. 504.79122981 0. 0. ]\n", + " [ 0. 0. 2178.14277582 -492.70812497]\n", + " [ 0. 0. -492.70812497 285.08177521]]\n" + ] + } + ], "source": [ "M = k_mooring(init_fair_coords[0, :], anch_coords[0, :], pretension,\n", " line_ax_stiff, init_fair_coords.shape[0])\n", @@ -880,7 +985,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -925,7 +1030,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -965,9 +1070,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of realizations for a 20 minute total simulation time: 24.0\n" + ] + } + ], "source": [ "waves = {}\n", "\n", @@ -1015,9 +1128,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 23, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "fig, ax = plt.subplots()\n", "plt1 = np.abs(waves['south_max_90'].sel(realization=0)).plot(\n", @@ -1054,9 +1188,35 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 24, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\jorge\\Documents\\ragetechWEC\\WecOptTool\\wecopttool\\core.py:749: UserWarning: The `squeeze` kwarg to GroupBy is being removed.Pass .groupby(..., squeeze=False) to disable squeezing, which is the new default, and to silence this warning.\n", + " for realization, wave in waves.groupby('realization'):\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optimization terminated successfully (Exit mode 0)\n", + " Current function value: -0.011327639928152469\n", + " Iterations: 53\n", + " Function evaluations: 54\n", + " Gradient evaluations: 53\n", + "Optimization terminated successfully (Exit mode 0)\n", + " Current function value: -0.011328293245063313\n", + " Iterations: 54\n", + " Function evaluations: 55\n", + " Gradient evaluations: 54\n", + "Optimal average electrical power: -1.132796658660789 W\n" + ] + } + ], "source": [ "# Objective function\n", "obj_fun = pto.average_power\n", @@ -1082,9 +1242,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 25, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "100\n" + ] + } + ], "source": [ "x_wec, x_opt = wec.decompose_state(results[0].x)\n", "print(len(x_opt))" @@ -1092,7 +1260,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -1117,9 +1285,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 27, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "(-19.466983310051585, 2.7299226733031783)" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "fig_res1, ax_res1 = plt.subplots(nrows=4, sharex=True, figsize=(8, 10))\n", "\n", @@ -1224,9 +1413,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 28, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0.93, 'WEC Forces')" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "## Forces\n", "fig_res2, ax_res2 = plt.subplots(len(influenced_dofs), 1, sharex=True, figsize=(8, 10))\n", @@ -1270,7 +1480,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ @@ -1384,7 +1594,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ @@ -1423,7 +1633,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 31, "metadata": {}, "outputs": [], "source": [ @@ -1435,9 +1645,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 32, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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jR4+KxMREcfnyZY36vTirWLGiWL58uVrZ999/L2rVqiU9zpgAL1++XHzyySfC2NhY3LhxQwiRdQK8detWYWBgIC5duiTq1KkjfHx8pG0REREiLCxMhIWFiYcPHwohhFizZo2wtrZWe39KTk4WCoVCbNmyRQjx9r3Jw8ND7TiXLl0SAMT9+/ezfY4bNmyQ6sTHx0vHDgsLk/6uZKV69erSaPj9+/cFALFhwwa1Oj169BC9e/fOto13MQHWsrwkwMbGxkIIIYKDg9XerLL78ff3F0II0bVrVwG8HY0bOnSo+OWXX8T+/ftFTExMtrGkJ8ArV66Uyrp166ZWv2nTplkmEOllOjo64uXLl1J548aNpW3vfq2VUWJiotDT0xPA25GWjHFmHFFr2bJlpmPq6emJhIQEqXzVqlXSNk9PT6n8fRPgqVOnSuU9evSQyr/55hup/LPPPsv0fHNLgJOSktRie3fk7sqVK6Jnz57C3t5e6OvrZ/qdu7u7S3XzkwB/++23Utn48ePV6mf88JH+FXDGPslYf9euXVn+4cxOxueQ8cILIQrvfC+KBHjp0qXSts6dO4sffvhBbNu2LdNzzM7x48el/UePHi2EEOLHH3+UyjZt2iSEeDvKYmlpKQAIW1tbMXHiRLFmzRpx8uRJtYtU8iov7Wbsh4xTI+7cuSOVW1paSuUZE7GMIz9CvJ36kL7NyspKpKamStuWLFkibUu/OKhv375SWU4X3WR8TaR/QE3v24wfyvN6zgmR9wT49u3b0j7lypVTSzYyTsnQ5Bzctm2baNu2rbCyspI+HGX8+eGHH7Ls9/SLqxMTE9Xqp4/UZ4yxXbt2Qoi371Hp7885/YwaNSrXuIUQok+fPrm2ZWJikmVbf/75p0Z9XVJYWlqKFStWqJXNmzdP1KhRQ3qcMQF++fKlMDQ0FE2bNpW2v5sAR0VFibJly4pFixYJId5e4Kanp5fjVIRffvlF2Nraqr0mlEqlMDY2lt5zVqxYIczNzdWmI/7www9qF8Fl5eLFiwKANC1JU9WqVZOel0qlEuXLl880LbRBgwaZRoVzwovgirmrV69K/69atSoA4OnTpxrt+/z5cwDA0qVL0bJlS6SkpOD333/HmDFj0K5dO1hbW2PixIkatQFAmvyeLreLMGxtbWFhYSE9NjY2lv7/5s2bbPd7+fIlUlNTAQBmZmYwNzfP8phZ9YOVlZXacTLG/OzZsxzjzYvq1atL/zcyMpL+X6VKFen/GS8OyOn5plMqlfD29sbRo0cBAGPHjsWcOXOk7f/99x+aN2+OrVu34tGjR0hJScnUxvteCJKxT3P6fWfV97Vr15b+r+nv+l3lypWDvb19tjHl5H3OdyGE9P/0c68gDB8+HP369YNcLseuXbvw9ddfo1u3bnBwcEDbtm2RkJCQ4/4tW7aU+nXr1q1ITU3Fhg0bAABly5aFl5cXAEBHRwdbt25F1apVERUVhZ9++glDhgxBixYtYGtri61bt+Yr/vy2m/Hcyfj/ly9fIi0tLVP9xo0bqz3O+DuvWLEidHV1pcdZnYdRUVFSWd26dTV6bq9fvwbw9jm6ublBJpNlefycZHx/zKuM+1aoUEFt+aZ3X3s58ff3R7du3XDw4EE8f/48y/7N7n0h/X0s43sY8L/3sazew168eKHRa0TTvtGkrxMSEpCcnJyp/N3zpqTr3Lkz5s6diz179uDhw4fYtm0bFi9ejG7dumVZ38LCApGRkTh06FC2bQ4bNgy1atWS1gJu0qQJpkyZgi+//BJxcXFZ7uPq6oqYmBiMHDkSt27dwo0bN+Dj4wM9PT20atUKANC7d28YGBhg4MCBuH79OrZt24Z58+ZhwoQJ0mvJ29sbS5YswdmzZ/Hff/8hJCQEI0eORM2aNeHo6JjlsV+/fo1vvvkGZ86cwX///YdLly5hyJAhiIiIQPfu3QEAMpkMkydPxi+//AJ/f3/cu3cP06dPx+3btzF48GDNOhtcB7hYi4+Px8qVK6XHXbt2BQDY2NhIZe3atZOuCs74o1KpMGzYMABv30yPHz+Op0+f4tChQ/j999/x6aefQqlUYvHixThz5ky2MZQrV076/6NHj9S2PXjwIMf45XK52uOMf2ByYmlpCT09PQBAXFyc2os049qXGfsh3fPnz6U/bMDbpDGdtbV1nmPJTnp8mpbnRqVSoV+/ftizZw8AYOjQoZnWE92+fbv03Fq3bo3Hjx9DCIGdO3dm2WZ+nmPGPs3Yd0DufZ/x953f/lUoFDnGVJDnu6GhodRuxpUH7t27l6eYc3qu+vr6+PPPPxETE4NTp05h06ZN6NWrFwDg0KFDWL58ea7tDx06FAAQHR2NRYsW4cqVKwDerhqTMUFxdXXFv//+i3v37mHPnj1YvHgxbG1tERsbiyFDhmSZGGkiP+1mPHcy/t/S0lItmU337u894+88IiJC7RhZnYe2trZS2fXr1zV6Xk2aNIGZmRlUKhW8vLywb9++LI+vyTmXH1ZWVtL/Hz9+rHazg3dfeznZtGmT9P/JkycjPj4eQohMNz/ISn7ex8qWLSttL1OmDJKTk7Psn82bN0v75PQaydjXW7ZsybavM57r6bJ6vyjJli1bBm9vb4wYMQK1a9fGpEmTMGzYMHz//ffZ7mNubq424JDRn3/+ieDgYPj5+al9wJo5cybMzc0xfvz4LPdzdHTErl27cPXqVTRr1gxOTk548uQJgoKCpHWGzczMEBwcjIiICDRp0gQjRozAhAkT1M67du3aYdeuXejcuTNq1qyJAQMGwNHREQcOHMj2HNPV1cXt27fh5eWFmjVrolOnToiOjsbx48dRp04dqd64ceMwbdo0jB8/HvXr18ehQ4cQHByMatWqZd/B78rTGDQVuKymQMTGxoo9e/aoXXzi4OAgTSfIOD9NJpOJRYsWiefPn4s3b96IW7duiR9++EFUrVpVOsaCBQvExo0bRVhYmHj9+rWIi4sTQ4cOldr+66+/MsWSPgXi33//leYA6+vriz179ohXr16J33//Xe0rquxWgcgoL2tBtm/fXqrr4+Mjnj9/Lu7duycaNmwolWc3B/irr74SL1++FDdu3Mh2DrCXl5dUvn37drWvbDSZApHxIsGMX6VnLM/q+WbX9pAhQ6TyPn36ZDk3dPny5VIdd3d3ERsbK+7duyc+/fTTLNu8du2aVN68eXO1qSHvxp3++zt79qxUZmFhIUJCQsSrV6/Er7/+qvaVdFZzgDM+97yut5rdOSNE4Z3v8+fPl8qGDx8uhBDi5s2beZ5/mdO55O/vL5YuXSquXbsmYmJixJs3b8TatWszHTcnL168kObPZ/zq+d21wUeMGCH27dsnwsPDRXJysnj8+LFo1KiRVD/9ApLspnhkR9N2M/bPZ599Jh48eCCePXum0RzgrNSuXVva/u2334rY2Fhx+fJl4eDgIJWnzwEODAxU+7p8y5YtIi4uTjx9+lRs2rQp2znAJ06ckC6aNTAwEEFBQUKIvJ9zQghRtmxZAbydWpHTGqvpspsDfPr06Tydg97e3mp1k5KSxLFjx6R43m0ju37P+B6aLrv3q/Q5wOnvVw8ePBApKSkiPDxc+Pn5iebNm4uQkBCpfm6vkfRtlStXFiEhISIpKUnExsaKI0eOCB8fH7XXCdcUpoLCBFjL8nsjjJ07d2Y5BzSrN7E2bdpkW6dMmTLiyZMnmWLJbRUIAKJ8+fLS/zO+2WWXzOTljevu3btZXqGc/tOsWbMsV4EwMTERpqammeqnrwKR7qeffspUJz3eok6AHz58mOs5IMTbif9ZrXBRs2bNLONNSkrKsg/TY8xuDmxOqyjo6empzXssigRYiMI53+/fv6/WZpkyZQSgPjdUkwQ4p3Pp+++/zzHmXbt25do3Qgi1iwoBiM8//zxTnazmfqb/NG7cWKqX1wRY03Yz9k/GVQzSf3JaBSIrJ0+ezPJ8T//x9PRUS6T69++fbd2cVoEIDg5Wu0A3fem+vJxzQgjRuXPnTNtzO/f/+eefLFdcyPi6ze0c3Lp1a5axZXxfKOgE+P79+1n+jjP+ZHxPyek1olKpMp3fOfUjE2AqKJwCUczo6OjAxMQEVatWRYcOHbBmzRpcvnw503yZzp074+LFi+jfvz8cHBwgl8thZmaG2rVro3///vjrr7+kugMHDoSHhwcqVaoEY2Nj6Orqws7ODl5eXjh+/LjarROz8tNPP2HevHlwcHCAvr4+6tWrB39/fzRo0ECqk/HrvIJQo0YNhIaGYtSoUahWrRr09fWhUCjQoEEDzJ8/H0eOHFH7Cjtd2bJlcfz4cbRt2xYKhQLm5uYYMGAAgoOD1b5CGzFiBEaOHJlp7p02iAzzT3NSpUoV7N27F5999hkUCgXs7OwwadIk/PLLL1nWNzQ0xN9//41PP/0UJiYmGsezZMkS/PXXX2jVqhXMzc2hp6cHW1tbeHt749SpU9K806JUGOd7lSpVsHv3bjRq1AhGRkYwMzPD1KlTsWjRojzFltO51KZNG/Tr1w+Ojo4wMzODjo4OLCws4OLigsDAQHTq1EmjY3z55Zc5PgaAadOmwcXFBXZ2dtDX14e+vj6qVauGkSNHIigoKE/P6X3b3b59O3x8fGBpaQkjIyO0bt0ax44dQ40aNTQ+bvPmzXH58mUMHDgQ9vb2kMvlMDExQdOmTfHbb7/hn3/+Uftqff369di8eTPatGkjTaOytraGq6ur2pz9d7Vt2xZ///039PT08ObNG3Tp0gWHDx/O0zkHvP36unPnzihbtqzGz9Hb2xsBAQGoV68e9PX1YW9vj+nTp2Pu3Lkat/HFF19g5cqVqFmzJgwMDFCrVi38/vvv0lSbwlClShWEhoZiypQp+Oijj2BoaAgjIyNUrVoVnTt3xm+//YZGjRpJ9XN6jchkMmzcuBEbNmxAq1atYGFhIb3nNG3aFN9++y0mTZpUaM+FSi+Z0PSvL5VaYWFhSExMlO7CAgA7d+5E9+7dkZKSAnt7ezx8+FCriWT6H8JKlSqpzREkoqLh4uIiXcD54MED3qmMiIq1/F2xQ6XKyZMn4ePjAyMjI1hZWSEmJka6et3AwABr1qzR+igqERERkaaYtVCu6tati06dOsHS0hJPnz6FUqlE9erVMXToUISGhsLNzU3bIRIREX1wnjx5gl9//RWtW7fWaGUP0hynQBAREREVE+Hh4QgICEBAQABOnToFXV1dtGnTBpMnT0abNm20Hd4HgwkwERERkRb9+++/CAgIgL+/P86fPw99fX24ubnB29sbHh4eajeVooLBBJiIiIioiN2+fVtKekNDQ2FkZIT27dvDy8sLnTp1gqmpqbZD/KAxAS4AKpUKT548QZkyZd77DmNERERUNIQQePXqFcqXL1/oF3MLIXD9+nX4+/sjICAAN27cgImJCTp27Ahvb2+0b98+27u6UcFjAlwAIiIiYG9vr+0wiIiIKB8ePXqEihUrFni7QghcunRJGukNCwuDmZkZPDw84OXlBTc3NxgZGRX4cSl3XAatAJQpUwbA2xdQfr+yUCqVOHDgANzc3CCXywsyvA8K+0kz7KfcsY80w37SDPtJM8Wtn+Lj42Fvby/9HS8IKpUK586dk5Lehw8fwtLSEl27dsXPP/+MNm3aQF9fv8COR/nDBLgApE97MDU1fa8EWKFQwNTUtFi8KRRX7CfNsJ9yxz7SDPtJM+wnzRTXfnrf6YtpaWk4deoU/P39ERgYiIiICFhbW8PT0xNeXl5wdnYuVs+XmAATERER5VlqaiqOHj2KgIAABAYG4unTpyhfvjy8vLzg7e2NFi1aQFdXV9thUjaYABMRERFpICUlBYcPH4a/vz+2b9+OFy9eoFKlSujTpw+8vb3RtGlT3hm1hGACTERERJSNN2/e4MCBAwgICMDOnTsRGxsr3Q3Vy8sLjRs35gpQJRATYCIiIqIMEhMTsW/fPvj7+2P37t1ISEjARx99hNGjR8Pb2xt169Zl0lvCMQEmIiKiUu/Vq1fYs2cP/P39sW/fPiQmJqJ+/fqYOnUqvLy8ULt2bW2HSAWICTARERGVSrGxsQCAXr164dChQ0hOTsYnn3yCGTNmwMvLC9WrV9dugFRomAATERFRqfH8+XPs2LED/v7+OHToEADgxYsXmDdvHjw9PVG5cmXtBkhFggkwERERlWhHjhyBg4MDqlWrluX2qKgobNu2DQEBAQgJCYEQAk5OTpg3bx4mT56MAwcO5HsdfyqZuFYHERERlVirV69G69atERwcrFYeERGBX375Bc7OzihfvjxGjx4NHR0d/Prrr3jy5AlCQkLw5Zdfailq0jaOABMREVGxlKZS4fi9aETGJ8HO1AhO1ctBN8M6u7/99htGjBiBUaNGYdiwYXj48KF0C+IzZ85ALpfD1dUVa9asQZcuXVC2bFktPhsqTpgAExERUbETGBqOsf4XERGbKJVVNFfgZ+/G8GzggOXLl2P06NEYMGAA7Ozs8Mknn+DixYswMDCAu7s7NmzYgE6dOsHc3Fx7T4KKLSbAREREVKwEhobDe81xiHfKH8cmwnvNcXRNOoVtf6yAlZUV1q9fD4VCgY4dO2Ly5Mno0KEDypQpo5W4qeRgAkxERETFRppKhbH+FzMlvwDelkWHY9vfKwAASqUSn332GVq2bIk6deqgevXqTH5JI0yAiYiIqNg4fi9abdpDJlb2QOsv8VUTW+gkPMfdu3fx119/4dGjRwCAq1evom7dukUULZVUTICJiIio2IiMT8q5gkwG1P4cn3dvgV5NKkvFiYmJeP78ORwcHAo3QPogcBk0IiIiKjbsTI3yVU+hUDD5JY0xASYiIqJiQQiBy3u3AgkvAKHKso4MgL25Ak7VyxVtcPRBYQJMREREWpecnIyhQ4diwvhxwPENAGSQvVMn/fFS78Zq6wET5RXPHiIiItKqZ8+eoU2bNli7di10dHTw08he8B/yOSqYK9TqVTRXwH+IEzwbcKoDvR9eBEdERERaExoaii5duiA8PBympqbYunUr2rdvDwDoWr9ijneCI8ovJsBERESkFQEBAejfvz8SExNRo0YN7Ny5E46OjtJ2XR0duNS00WKE9KEqMR+jYmJi0K9fP5iZmcHMzAz9+vVDbGxsjvs8ffoUAwcORPny5aFQKODu7o6wsDC1OsnJyRg9ejSsrKxgbGwMDw8PREREFOIzISIiKt1UKhVmzZoFb29vJCYmwtXVFWfPnlVLfokKU4lJgHv37o3Q0FAEBQUhKCgIoaGh6NevX7b1hRDo2rUr7t+/jx07duDy5cuoVKkS2rZti9evX0v1xo0bh23btmHr1q04ceIEEhIS0KlTJ6SlpRXF0yIiIip1fHx84OvrC+Dt3+G9e/fCwsJCu0FRqVIipkDcunULQUFBOHPmDJo2bQoA+P3339GsWTPcuXMHtWrVyrRPWFgYzpw5g+vXr6NOnToAgBUrVsDa2hpbtmzBkCFDEBcXh7Vr12LDhg1o27YtAGDjxo2wt7fHwYMH0a5du6J7kkRERB+49G9Yt2/fDrlcjpUrV2LQoEFajopKoxKRAJ8+fRpmZmZS8gsAn332GczMzHDq1KksE+Dk5GQAgKGhoVSmq6sLfX19nDhxAkOGDMHFixehVCrh5uYm1Slfvjw+/vhjnDp1KtsEODk5WWofAOLj4wG8vSe5UqnM13NM3y+/+5cW7CfNsJ9yxz7SDPtJM+yn3J05cwZDhgzBwoULUbFiRaxZswbNmjXTap/x91V6lYgEOCoqCtbW1pnKra2tERUVleU+jo6OqFSpEqZNm4ZVq1bB2NgYixcvRlRUFCIjI6V29fX1M33tYmNjk227ADB//nzMmjUrU/mBAwegUCiy2ENzwcHB77V/acF+0gz7KXfsI82wnzTDfsrZwoULAQCLFi1CTEwM9u7dq9V4EhMTtXp80h6tJsC+vr5ZJpIZnT9/HgAgk727HPbbeb5ZlQOAXC5HQEAABg8eDEtLS+jq6qJt27bS0io5yaldAJg2bRomTJggPY6Pj4e9vT3c3Nxgamqaa/tZUSqVCA4OhqurK+Ryeb7aKA3YT5phP+WOfaQZ9pNm2E9ZS01NxYwZM/Drr78CALy8vODt7V1s+in9G1wqfbSaAI8aNQo9e/bMsU7lypVx9epVPH36NNO26Oho2NhkvzxK48aNERoairi4OKSkpKBcuXJo2rQpmjRpAgCwtbVFSkoKYmJi1EaBnz17hubNm2fbroGBAQwMDDKVy+Xy935BF0QbpQH7STPsp9yxjzTDftIM++l/YmNj0bNnT+zfvx/A20Gvr7/+GkFBQcWmn4pDDKQdWk2AraysYGVllWu9Zs2aIS4uDufOncOnn34KADh79izi4uJyTFTTmZmZAXh7YdyFCxfw/fffA3ibIMvlcgQHB6NHjx4AgMjISFy/fl36moaIiIjy5s6dO/Dw8MDdu3ehUCiwfv16eHt7c84tFRslYhm02rVrw93dHUOHDsWZM2dw5swZDB06FJ06dVK7AM7R0RHbtm2THv/zzz8ICQmRlkJzdXVF165dpYvezMzMMHjwYEycOBGHDh3C5cuX0bdvX9StW1daFYKIiIg0t3//fjRt2hR3796Fvb09Tp48CW9vb22HRaSmRFwEBwCbNm3CmDFjpOTVw8MDy5cvV6tz584dxMXFSY8jIyMxYcIEPH36FHZ2dujfvz+mT5+uts+SJUugp6eHHj16ICkpCW3atIGfnx90dXUL/0kRERF9IIQQWLp0KSZNmgSVSoXmzZsjMDAwx6mKRNpSYhJgS0tLbNy4Mcc6Qgi1x2PGjMGYMWNy3MfQ0BDLli3DsmXL3jtGIiKi0ig5ORnDhw/HunXrAACDBg3CihUrsrxehqg4KDEJMBERERU/T58+haenJ06dOgUdHR389NNPGDt2bI6rKRFpGxNgIiIiypfLly/Dw8MDERERMDMzw19//cW7qFKJUCIugiMiIqLi5Z9//kGLFi0QERGBmjVr4ty5c0x+qcRgAkxEREQaU6lUmDlzpnTxeLt27XD27FnUrFlT26ERaYxTIIiIiEgjCQkJGDBgAAIDAwEAEyZMwIIFC6Cnx3SCShaesURERJSr//77Dx4eHrh69Sr09fWxatUqDBw4UNthEeULE2AiIiLK0YkTJ+Dp6Yno6GjY2NggMDBQozuxEhVXnANMRERE2VqzZg1at26N6OhoNGzYEOfPn2fySyUeE2AiIiLKJDU1FWPHjsXQoUOhVCrRvXt3HD9+HPb29toOjei9cQoEERERqYmJicEXX3yB4OBgAMDs2bPx3Xff8eYW9MFgAkxERESS27dvo3Pnzrh37x4UCgU2bNgAT09PbYdFVKCYABMREREAYN++fejZsyfi4+NRqVIl7NixA/Xr19d2WEQFjnOAiYiISjkhBH766Sd06tQJ8fHxcHJywrlz55j80geLCTAREVEp9ubNG/j4+GDSpElQqVQYMmQIDh48CGtra22HRlRoOAWCiIiolIqKikK3bt1w5swZ6OrqYsmSJRg1ahQvdqMPHhNgIiKiUujSpUvo0qULIiIiYG5ujn/++Qdt27bVdlhERYIJMBER0QcsTaXC8XvRiIxPgp2pEZyql4P/P//Ax8cHSUlJcHR0xM6dO1GjRg1th0pUZJgAExERfaACQ8Mx1v8iImITpbIyMiVe7f0VSEpC+/btsWXLFpiZmWkxSqKixwSYiIjoAxQYGg7vNcch3il/pdIF3Meii8F/CFj0NXR1dbUSH5E2cRUIIiKiD0yaSoWx/hczJb8AAJkOIAMuKT4CeLEblVJMgImIiD4wx+9Fq017yEyGR7GJOH4vushiIipOmAATERF9YCLjkwq0HtGHhgkwERHRB8bW1FCjenamRoUcCVHxxASYiIjoA5KcnIw1308GXr0AhCrLOjIA9uYKOFUvV7TBERUTTICJiIg+EM+fP0fbtm2xeeNG6JzaBMhkePcyt/THS70bQ1eHaQCVTjzziYiIPgC3b99G06ZNceLECZiZmWH/b3MRMORzVDBXqNWraK6A/xAneDZw0FKkRNrHdYCJiIhKuEOHDsHLywtxcXGoUqUK9uzZg9q1awMAutSrmOlOcBz5pdKOCTAREVEJ9vvvv2PEiBFITU1FixYtsG3bNpQr97+5vbo6OnCpaaPFCImKH34EJCIiKoHS0tIwefJkfPnll0hNTUXv3r1x8OBBteSXiLLGEWAiIqIS5vXr1+jTpw927NgBAJg1axamT58OGe/sRqQRJsBEREQlyOPHj+Hh4YFLly7BwMAA69atQ69evbQdFlGJUmKmQMTExKBfv34wMzODmZkZ+vXrh9jY2Bz3efr0KQYOHIjy5ctDoVDA3d0dYWFhanVcXFwgk8nUfnr27FmIz4SIiCh/Ll++jE8//RSXLl1CuXLlcPjwYSa/RPlQYhLg3r17IzQ0FEFBQQgKCkJoaCj69euXbX0hBLp27Yr79+9jx44duHz5MipVqoS2bdvi9evXanWHDh2KyMhI6WfVqlWF/XSIiIjyZOfOnWjZsiWePHmCjz76CGfPnkXz5s21HRZRiVQipkDcunULQUFBOHPmDJo2bQrg7VWvzZo1w507d1CrVq1M+4SFheHMmTO4fv066tSpAwBYsWIFrK2tsWXLFgwZMkSqq1AoYGtrq3E8ycnJSE5Olh7Hx8cDAJRKJZRKZb6eY/p++d2/tGA/aYb9lDv2kWbYT5opzH4SQmD58uWYPn06hBDo0KED/vzzT5iampa430txO5+KSxxU9GRCCKHtIHLzxx9/YMKECZmmPJibm2PJkiXw8fHJtM+1a9dQr1493Lt3D9WqVZPK7ezs0K5dO/j5+QF4OwXixo0bEELAxsYG7du3x8yZM1GmTJls4/H19cWsWbMylW/evBkKhSKLPYiIiKi4SUxMRO/evREXFwdTU1Nth0NFqESMAEdFRcHa2jpTubW1NaKiorLcx9HREZUqVcK0adOwatUqGBsbY/HixYiKikJkZKRUr0+fPqhSpQpsbW1x/fp1TJs2DVeuXEFwcHC28UybNg0TJkyQHsfHx8Pe3h5ubm75fgEplUoEBwfD1dUVcrk8X22UBuwnzbCfcsc+0gz7STOF0U9xcXHo378/QkJCIJPJMG/ePAwfPrxEr/RQ3M6n9G9wqfTRagKc3UhqRufPnweALF/wQohs3wjkcjkCAgIwePBgWFpaQldXF23btkX79u3V6g0dOlT6/8cff4waNWqgSZMmuHTpEho1apRl2wYGBjAwMMjymO/7gi6INkoD9pNm2E+5Yx9phv2kmYLqp/v376NTp064desWjI2NsWXLFnTu3LkAIiweisv5VBxiIO3QagI8atSoXFdcqFy5Mq5evYqnT59m2hYdHQ0bm+zvbtO4cWOEhoYiLi4OKSkpKFeuHJo2bYomTZpku0+jRo0gl8sRFhaWbQJMRERUWE6ePImuXbvi+fPnqFChAnbv3o0GDRpoOyyiD4pWE2ArKytYWVnlWq9Zs2aIi4vDuXPn8OmnnwIAzp49i7i4OI2ugDUzMwPw9sK4Cxcu4Pvvv8+27o0bN6BUKmFnZ6fhsyAiIioYmzZtwqBBg5CSkoLGjRtj586dKF++vLbDIvrglIhl0GrXrg13d3cMHToUZ86cwZkzZzB06FB06tRJbQUIR0dHbNu2TXr8zz//ICQkRFoKzdXVFV27doWbmxsA4N9//8Xs2bNx4cIFPHz4EHv37kX37t3RsGFDtGjRosifJxERlU5CCPj6+qJv375ISUlB165dcfToUSa/RIWkRFwEB7z9VDxmzBgpefXw8MDy5cvV6ty5cwdxcXHS48jISEyYMAFPnz6FnZ0d+vfvj+nTp0vb9fX1cejQIfz8889ISEiAvb09OnbsiJkzZ0JXV7donhgREZVqb968waBBg7BlyxYAwJQpUzB//nzo6JSIMSqiEqnEJMCWlpbYuHFjjnXeXdFtzJgxGDNmTLb17e3tcfTo0QKJj4iIKK+ePXuGbt264dSpU9DT08PKlSsxePBgbYdF9MErMQkwERHRh+TmzZvo2LEjHj58CHNzcwQEBKB169baDouoVOD3K0REREUsODgYzZo1w8OHD1GtWjWcOXOGyS9REWICTEREVIRWrlyJ9u3bIz4+Hk5OTjhz5ozaBd1EVPiYABMRERWBtLQ0TJgwAcOHD0daWhr69euH4OBgjZYDJaKCxTnAREREhSwhIQG9e/fGrl27AABz5szBN998U6Jva0xUkjEBJiIiKiBpKhVO3n2KyPgk2Jkawal6OUQ+eYLOnTsjNDQUhoaGWL9+PXr06KHtUIlKNSbAREREBaTu3L249zJRemyt0EPK4bWIDQ2FtbU1du7ciaZNm2oxQiICmAATERG9t13XIqAL4HFcolr5s9cpQNP+sDcxwTG/xahcubJW4iMidbwIjoiI6D2kqVSYuj00642yt39mVS36wN7BoeiCIqIcMQEmIiJ6D8fvRWca+VUjk+Fx3BscvxdddEERUY6YABMREb2HyPikAq1HRIWPCTAREdF7sDM1KtB6RFT4mAATERG9B9PXkdB5E5ftdhkAe3MFnKqXK7qgiChHTICJiIjy6cCBA3Bx/hyq45sAvE12M0p/vNS7MXR1+CeXqLjgq5GIiCgf/vjjD3To0AGvXr3C5w5lAADlzRRqdSqaK+A/xAmeDbgCBFFxwnWAiYiI8kAIgenTp2Pu3LkAgL59+2LlypU4ePAgrn3bAWf+i1W7ExxHfomKHybAREREGkpJScHgwYOxceNGAMB3332H2bNnIzU1FQCgq6MDl5o22gyRiDTABJiIiEgDMTEx8PT0REhICHR1dbF69WoMGjRI22ERUT4wASYiIsrFf//9h/bt2+PWrVsoU6YM/P394ebmpu2wiCifmAATERHl4OLFi+jUqROioqJQoUIF7NmzB/Xr19d2WET0Hjgzn4iIKBt79uzB559/jqioKNSrVw9nzpxh8kv0AWACTERElIXffvsNHh4eSExMhKurK44fP46KFStqOywiKgBMgImIiDJQqVSYOnUqRowYAZVKhUGDBmHPnj0wNTXVdmhEVEA4B5iIiOj/vXnzBgMHDsRff/0FAPj+++/x7bffQiZ79x5vRFSSMQEmIiIC8OLFC3Tt2hUnTpyAXC7H2rVr0a9fP22HRUSFgAkwERGVev/++y86dOiAu3fvwszMDIGBgWjdurW2wyKiQsIEmIiISrWzZ8+ic+fOiI6OhoODA/bu3Ys6depoOywiKkS8CI6IiEqt7du3o1WrVoiOjkajRo1w5swZJr9EpQATYCIiKpV+/vlneHp6IikpCR06dMDRo0dhZ2en7bCIqAgwASYiolIlLS0N48ePx7hx4yCEwLBhw7Bjxw6YmJhoOzQiKiKcA0xERKVGYmIi+vbti23btgEAFixYgMmTJ3OZM6JSpsSMAM+dOxfNmzeHQqGAubm5RvsIIeDr64vy5cvDyMgILi4uuHHjhlqd5ORkjB49GlZWVjA2NoaHhwciIiIK4RkQEZE2RUdHo3Xr1ti2bRv09fWxZcsWTJkyhckvUSlUYhLglJQUdO/eHcOHD9d4n4ULF2Lx4sVYvnw5zp8/D1tbW7i6uuLVq1dSnXHjxmHbtm3YunUrTpw4gYSEBHTq1AlpaWmF8TSIiEgL7t69i2bNmuHs2bOwsLDAwYMH0bNnT22HRURaUmKmQMyaNQsA4Ofnp1F9IQSWLl2Kb7/9Fp6engCA9evXw8bGBps3b8awYcMQFxeHtWvXYsOGDWjbti0AYOPGjbC3t8fBgwfRrl27LNtOTk5GcnKy9Dg+Ph4AoFQqoVQq8/X80vfL7/6lBftJM+yn3LGPNPMh9NOZM2fQs2dPxMTEwNHREf7+/qhZs2aBPqcPoZ+KQnHrp+ISBxU9mRBCaDuIvPDz88O4ceMQGxubY7379++jWrVquHTpEho2bCiVd+nSBebm5li/fj0OHz6MNm3a4OXLl7CwsJDq1K9fH127dpWS7nf5+vpmuW3z5s1QKBT5e2JERERUpBITE9G7d2/ExcXB1NRU2+FQESoxI8B5FRUVBQCwsbFRK7exscF///0n1dHX11dLftPrpO+flWnTpmHChAnS4/j4eNjb28PNzS3fLyClUong4GC4urpCLpfnq43SgP2kGfZT7thHmimp/SSEwLJlyzB9+nQAQMeOHbF27VoYGRkVyvFKaj8VteLWT+nf4FLpo9UEOLuR1IzOnz+PJk2a5PsY717cIITI9YKH3OoYGBjAwMAgU7lcLn/vF3RBtFEasJ80w37KHftIMyWpn1JTUzFu3DisWLECADBmzBgsXrwYurq6hX7sktRP2lRc+qk4xEDaodUEeNSoUblehFC5cuV8tW1rawvg7ShvxoXNnz17Jo0K29raIiUlBTExMWqjwM+ePUPz5s3zdVwiItKe169fo2fPnti9ezdkMhkWL16McePGaTssIipmtJoAW1lZwcrKqlDarlKlCmxtbREcHCzNAU5JScHRo0exYMECAEDjxo0hl8sRHByMHj16AAAiIyNx/fp1LFy4sFDiIiKi95emUuH4vWhExifBztQITtXLIfrZM3Tq1AkXL16EoaEhNm7cCC8vL22HSkTFUImZAxweHo6XL18iPDwcaWlpCA0NBQBUr15dunuPo6Mj5s+fj27dukEmk2HcuHGYN28eatSogRo1amDevHlQKBTo3bs3AMDMzAyDBw/GxIkTUbZsWVhaWmLSpEmoW7eutCoEEREVL4Gh4RjrfxERsYlSmY2xHKqjfoi+eBFWVlbYuXMnmjVrpsUoiag4KzEJ8IwZM7B+/Xrpcfqo7pEjR+Di4gIAuHPnDuLi4qQ6U6ZMQVJSEkaMGIGYmBg0bdoUBw4cQJkyZaQ6S5YsgZ6eHnr06IGkpCS0adMGfn5+RTJXjIiI8iYwNBzea47j3eWLniakAI17w1ZXD8fXL0b16tW1Eh8RlQwlJgH28/PLdQ3gd1d0k8lk8PX1ha+vb7b7GBoaYtmyZVi2bFkBRElERIUlTaXCWP+LmZJfAIBMBggBXecBqFK1alGHRkQlTIm5ExwREZVux+9Fq017yEQmw+P4Nzh+L7rogiKiEokJMBERlQiR8UkFWo+ISi8mwEREVCLYmWp2EwtN6xFR6cUEmIiISoTa5jrQT3kFCFWW22UA7M0VcKpermgDI6IShwkwEREVew8ePMDnTi2Rcmgt3qa66tJLlno3hq4O/7QRUc74LkFERMXapUuX0KxZM9y9excOqc/wc/uqqGiuUKtT0VwB/yFO8GzgoKUoiagkKTHLoBERUemzf/9+eHt7IyEhAfXq1cO+fftQvnx5jOyQ+U5wHPklIk0xASYiomJp/fr1GDJkCFJTU9GmTRsEBgbC1NQUAKCrowOXmjZajpCISip+XCYiomJFCIF58+Zh4MCBSE1NRZ8+fbB3714p+SUiel9MgImIqNhITU3FiBEj8O233wIApk6dij///BP6+vpajoyIPiScAkFERMVCYmIievXqhZ07d0Imk+GXX37BqFGjtB0WEX2AmAATEZHWPX/+HJ07d8aZM2dgYGCAzZs3w9PTU9thEdEHigkwERFp1f379+Hu7o6wsDBYWFhg586daNmypbbDIqIPGBNgIiLSmosXL6JDhw549uwZHBwcEBQUhNq1a2s7LCL6wPEiOCIi0oqgoCA4Ozvj2bNnqF+/Pk6fPs3kl4iKBBNgIiIqcn5+fujcuTNev36Ntm3b4tixYyhfvry2wyKiUoIJMBERFRkhBObOnQsfHx+kpqaib9++2LNnD9f4JaIixQSYiIiKRGpqKoYPH47vvvsOAPD1119zjV8i0gpeBEdERIXu3TV+ly1bhpEjR2o7LCIqpZgAExFRocq4xq+hoSE2b96Mbt26aTssIirFmAATEVGheXeN3127dqFFixbaDouISjkmwEREVCgyrvFbqVIlBAUFwdHRUdthERHxIjgiIip4Gdf4bdCgAU6fPs3kl4iKDSbARERUoPz8/NCpUye8fv0arq6uOHr0KOzs7LQdFhGRhAkwEREVCCEE5syZAx8fH6SlpaFfv37YvXs31/glomKHCTAREb231NRUfPXVV5g+fToAYNq0aVi/fj3X+CWiYokXwRER0XtJTExEz549sWvXLshkMixfvhwjRozQdlhERNliAkxERPkWHR2Nzp074+zZszA0NMSWLVvQtWtXbYdFRJQjJsBERJQvGdf4tbS0xK5du9C8eXNth0VElCsmwERElGcZ1/itXLkygoKCUKtWLW2HRUSkkRJzEdzcuXPRvHlzKBQKmJuba7SPEAK+vr4oX748jIyM4OLighs3bqjVcXFxgUwmU/vp2bNnITwDIqKS68S9Z9hy4SFC7j7F7r17pTV+GzZsiNOnTzP5JaISpcSMAKekpKB79+5o1qwZ1q5dq9E+CxcuxOLFi+Hn54eaNWtizpw5cHV1xZ07d1CmTBmp3tChQzF79mzpsZGRUYHHT0RUEu26FgFdAB1XhiAp7f8LE14ANrXhVt0S/v7+au+nREQlgUYJcHx8fJ4bLuh1H2fNmgXg7QLrmhBCYOnSpfj222/h6ekJAFi/fj1sbGywefNmDBs2TKqrUChga2tboPESEZV0gaHh6Lf+FDa3NlHfYGwBuI/FYJ/mTH6JqETSKAE2NzeHTCbTuFGZTIa7d++iatWq+Q7sfT148ABRUVFwc3OTygwMDODs7IxTp06pJcCbNm3Cxo0bYWNjg/bt22PmzJk5vqknJycjOTlZepz+AUGpVEKpVOYr3vT98rt/acF+0gz7KXfso5ylqVSYGngRhrpvHxvpZtyqAxmA73ZegUfdCtDVKTGz6QoNzyfNFLd+Ki5xUNHTeAqEv78/LC0tc60nhECHDh3eK6iCEBUVBQCwsbFRK7exscF///0nPe7Tpw+qVKkCW1tbXL9+HdOmTcOVK1cQHBycbdvz58+XRqQzOnDgABQKxXvFndNx6X/YT5phP+WOfZS9HxvrAHg7+vuHs0mWdfYHBRVhRMUfzyfNFJd+SkxM1HYIpCUaJcCVKlXC559/jrJly2rUaNWqVSGXy3Ot5+vrm2UimdH58+fRpEkTjY6blXdHroUQamVDhw6V/v/xxx+jRo0aaNKkCS5duoRGjRpl2ea0adMwYcIE6XF8fDzs7e3h5uaW76kfSqUSwcHBcHV11ajvSiv2k2bYT7ljH+XM/3I4Bm86AyPdt8nvoKMJ/5sDnMHaPp/Bu6FD0QdYzPB80kxx66f8TPGkD4NGCfCDBw/y1Oj169c1qjdq1KhcV1yoXLlyno6dLn1Ob1RUFOzs7KTyZ8+eZRoVzqhRo0aQy+UICwvLNgE2MDCAgYFBpnK5XP7eL+iCaKM0YD9phv2UO/ZR1ox1VWoJb1IaskyA7cxN2H8Z8HzSTHHpp+IQA2mHxlMg7t27h+rVqxfowa2srGBlZVWgbaZLn9YQHByMhg0bAni7ksTRo0exYMGCbPe7ceMGlEqlWtJMRFSaPHnyBNMGeAKNhwJmWU99kwGoaK6AU/VyRRscEVEB0PjKhZo1a8Le3h79+/fHunXr8PDhw0IMK7Pw8HCEhoYiPDwcaWlpCA0NRWhoKBISEqQ6jo6O2LZtG4C3Ux/GjRuHefPmYdu2bbh+/ToGDhwIhUKB3r17AwD+/fdfzJ49GxcuXMDDhw+xd+9edO/eHQ0bNkSLFi2K9PkRERUH//77L1q2bImbN67D8uaeLC+ATi9Z6t2YF8ARUYmk8Qjw0aNHcfToUYSEhGDUqFF48+YNHBwc0Lp1a7Rq1QqtWrVChQoVCi3QGTNmYP369dLj9FHdI0eOwMXFBQBw584dxMXFSXWmTJmCpKQkjBgxAjExMWjatCkOHDggrfCgr6+PQ4cO4eeff0ZCQgLs7e3RsWNHzJw5E7q6apc8ExF98K5duwY3NzdERUWhevXqCP5nFS69FMCjq2r1KporsNS7MTwbcO4vEZVMGifATk5OcHJywnfffQelUonTp08jJCQEISEh2LJlC5KTk1G9enXcuXOnUAL18/PLdQ1gIYTaY5lMBl9fX/j6+mZZ397eHkePHi2gCImISq4zZ86gQ4cOiImJQb169bB//37Y2tqiQgUl9j66ij1fuSDqtRJ2pkZwql6OI79EVKLl605wcrkcn3/+OT755BM0a9YM+/fvx++//4579+4VdHxERFTIgoOD0bVrVyQmJqJ58+bYs2dPplvOt6xuzQuGiOiDkacE+M2bNzh16hSOHDmCkJAQnD9/HlWqVIGzszN+++03ODs7F1acRERUCAICAtCrVy8olUq4u7vD398fxsbG2g6LiKhQaZwAOzs74/z586hWrRo+//xzjB49Gs7OzjkuKUZERMXXH3/8gaFDh0KlUqFHjx7YsGED9PX1tR0WEVGh03gS16lTp2BlZYVWrVqhTZs2aN26NZNfIqIS6scff8TgwYOhUqnw5ZdfYvPmzUx+iajU0DgBjo2NxerVq6FQKLBgwQJUqFABdevWxahRo+Dv74/o6OjCjJOIiAqAEALffPMNJk+eDACYOnUqVq5cyZVviKhU0XgKhLGxMdzd3eHu7g4AePXqFU6cOIEjR45g4cKF6NOnD2rUqKHxXeCIiKhopaWlYdSoUVi5ciUA4IcffsDUqVO1HBURUdHL1yoQwNuE2NLSEpaWlrCwsICenh5u3bpVkLEREVEBSUlJwYABA7B161bIZDKsXLkSX375pbbDIiLSCo0TYJVKhQsXLiAkJARHjhzByZMn8fr1a1SoUAGtWrXCr7/+ilatWhVmrERElA+JiYnw9vbGvn37IJfLsWHDBnzxxRfaDouISGs0ToDNzc3x+vVr2NnZwcXFBYsXL0arVq1QrVq1woyPiIjeQ2xsLDp37owTJ07AyMgIgYGB0lQ2IqLSSuMEeNGiRWjVqhVq1qxZmPEQEVEBefr0Kdzd3REaGgozMzPs2bMHLVq00HZYRERap3ECPGzYsMKMg4iICtB///0HV1dXhIWFwdraGgcOHED9+vW1HRYRUbGg0TJonp6eiI+P17jRPn364NmzZ/kOioiI8u/27dto2bIlwsLCUKlSJZw4cYLJLxFRBhqNAO/YsUPjdX6FENi1axe+//57WFtbv1dwRESUNxcvXoS7uzueP3+O2rVr48CBA6hYsaK2wyIiKlY0SoCFEJz7S0RUzIWEhMDDwwOvXr1CkyZNsG/fPlhZWWk7LCKiYkejBPjIkSN5brhChQp53oeIiPJn165d6N69O5KTk+Hi4oIdO3bA1NRU22ERERVLGiXAzs7OhR0HERFpIE2lwvF70YiMT4KdqRGcqpfDls2bMXDgQKSlpcHDwwN//fUXDA0NtR0qEVGxle87wRERUdEKDA3HWP+LiIhNlMrM9VSI3fULkJaGfv364Y8//oCeHt/aiYhywndJIqISIDA0HN5rjkO8Ux6rBOA+Fu11wuD380zo6Gi0uA8RUanGd0oiomIuTaXCWP+LmZJfAIBMB5AB180aZL2diIgyyVMCLITAf//9h6SkpMKKh4iI3nH8XrTatIfMZHgUm4jj9zRbrpKIqLTLcwJco0YNREREFFY8RET0jsh4zQYdNK1HRFTa5SkB1tHRQY0aNfDixYvCioeIiN5hZ2pUoPWIiEq7PM8BXrhwISZPnozr168XRjxERPQORzMZ5MmvAKHKcrsMgL25Ak7VyxVtYEREJVSeV4Ho27cvEhMTUb9+fejr68PISH3E4eXLlwUWHBFRaRceHg5XV1coU00B97GZtsv+/9+l3o2hyxUgiIg0kucEeOnSpYUQBhERvev27dtwdXVFREQEHBwcMKlDdSw8Hal2QVxFcwWWejeGZwMHLUZKRFSy5DkBHjBgQGHEQUREGVy4cAHu7u548eIFHB0dceDAAdjb22NE+8x3guPILxFR3uTrRhj//vsv1q1bh3///Rc///wzrK2tERQUBHt7e9SpU6egYyQiKlWOHDkCDw8PJCQkoEmTJti3bx+srKwAALo6OnCpaaPlCImISrY8DxscPXoUdevWxdmzZxEYGIiEhAQAwNWrVzFz5swCD5CIqDTZvn073N3dkZCQgNatW+Pw4cNS8ktERAUjzwnw119/jTlz5iA4OBj6+vpSeatWrXD69OkCDY6IqDRZt24dvLy8kJKSgm7dumHPnj0oU6aMtsMiIvrg5DkBvnbtGrp165apvFy5clwfmIgon3766ScMGjQIKpUKgwYNwt9//w1DQ0Nth0VE9EHKcwJsbm6OyMjITOWXL19GhQoVCiQoIqLSQgiBb775BpMmTQIATJo0CWvWrIGeXr4u0SAiIg3kOQHu3bs3pk6diqioKMhkMqhUKpw8eRKTJk1C//79CyNGAMDcuXPRvHlzKBQKmJuba7RPYGAg2rVrBysrK8hkMoSGhmaqk5ycjNGjR8PKygrGxsbw8PDgrZ6JqEikpaVh+PDhmD9/PgBg/vz5WLhwIWQyWS57EhHR+8hzAjx37lw4ODigQoUKSEhIwEcffYTPP/8czZs3x3fffVcYMQIAUlJS0L17dwwfPlzjfV6/fo0WLVrghx9+yLbOuHHjsG3bNmzduhUnTpxAQkICOnXqhLS0tIIIm4goSykpKejduzdWrVoFmUyGVatW4euvv2byS0RUBPL8HZtcLsemTZswe/ZsXL58GSqVCg0bNkSNGjUKIz7JrFmzAAB+fn4a79OvXz8AwMOHD7PcHhcXh7Vr12LDhg1o27YtAGDjxo2wt7fHwYMH0a5du/eKmYgoK69fv4anpycOHDggvad2795d22EREZUaeU6Aw8LCUKNGDVSrVg3VqlUrjJiKzMWLF6FUKuHm5iaVlS9fHh9//DFOnTqVbQKcnJyM5ORk6XF8fDwAQKlUQqlU5iuW9P3yu39pwX7SDPspd9rqo5iYGHTv3h3nz59H2bJlsWnTJrRu3brY/q54LmmG/aSZ4tZPxSUOKnp5ToBr1aoFOzs7ODs7w9nZGS4uLqhVq1ZhxFbooqKioK+vDwsLC7VyGxsbREVFZbvf/PnzpRHpjA4cOACFQvFeMQUHB7/X/qUF+0kz7KfcaaOPJkyYIP3/zZs32Lt3b5HHkFc8lzTDftJMcemnxMTE3CvRBynPCXBkZCQOHz6Mo0ePYsmSJRg+fDhsbGykZPirr77SuC1fX98sE8mMzp8/jyZNmuQ1zPcihMhxHt60adPU/oDFx8fD3t4ebm5uMDU1zdcxlUolgoOD4erqCrlcnq82SgP2k2bYT7kr6j66f/8+unbtiv/++w+2trbYvn07ateuXejHfV88lzTDftJMceun9G9wqfTJcwJsY2ODXr16oVevXgCAe/fuYc6cOdi0aRP++eefPCXAo0aNQs+ePXOsU7ly5byGqDFbW1ukpKQgJiZGbRT42bNnaN68ebb7GRgYwMDAIFO5XC5/7xd0QbRRGrCfNMN+yl1R9NGVK1fQrl07PH36FNWqVUNwcDCqVKlSqMcsaDyXNMN+0kxx6afiEANpR54T4ISEBJw4cQIhISE4evQoQkNDUbt2bYwePRrOzs55asvKykqrt/hs3Lgx5HI5goOD0aNHDwBvR7ivX7+OhQsXai0uIvpwnDx5Eh07dkRcXBzq16+PoKAg2NraajssIqJSLc8JsIWFBSwtLdGvXz989913aNmyJczMzAojNjXh4eF4+fIlwsPDkZaWJq3pW716dZiYmAAAHB0dMX/+fOlOden1nzx5AgC4c+cOgLcjv7a2tjAzM8PgwYMxceJElC1bFpaWlpg0aRLq1q0rrQpBRJRfe/fuhbe3N5KSktCiRQvs3r1b43XMiYio8OQ5Ae7YsSNOnDiBDRs24NGjRwgPD4eLi0uhz2WbMWMG1q9fLz1u2LAhAODIkSNwcXEB8DbBjYuLk+rs3LkTPj4+0uP06RYzZ86Er68vAGDJkiXQ09NDjx49kJSUhDZt2sDPzw+6urqF+nyI6MO2ZcsW9O/fH6mpqejQoQP++eef975IloiICkaeE+Dt27cDAK5evYqjR4/i0KFD8PX1hUwmg4uLC7Zu3VrQMQJ4u/5vbmsACyHUHg8cOBADBw7McR9DQ0MsW7YMy5Yte88IiYjeWrFiBUaNGgUhBHr37g0/Pz/ONSQiKkbyfbP5evXqIS0tDUqlEsnJyQgKCkJgYGBBxkZEVKIIITBnzhzMmDEDADBy5Ej88ssv0NHJ8003iYioEOX5XXnJkiXo0qULLC0t8emnn2LLli2oVasWtm3bhufPnxdGjERExZ5KpcL48eOl5HfGjBlYtmwZk18iomIozyPAmzZtgouLC4YOHYrPP/883+veEhF9KJRKJQYPHowNGzYAAH7++WeMGTNGy1EREVF28pwAX7hwoTDiICIqkZKSkvDFF19g165d0NXVhZ+fH/r27avtsIiIKAf5mgMcGxuLtWvX4tatW5DJZKhduzYGDx5cJMuhEREVF3FxcfDw8MCxY8dgaGiIv//+G507d9Z2WERElIs8T067cOECqlWrhiVLluDly5d4/vw5lixZgmrVquHSpUuFESMRUbHz7NkztGrVCseOHYOpqSn279/P5JeIqITI8wjw+PHj4eHhgd9//x16em93T01NxZAhQzBu3DgcO3aswIMkIipO/vvvP7i6uiIsLAzlypXD/v37pbXJiYio+MvXHOCMyS8A6OnpYcqUKWjSpEmBBkdEVNzcvHkTbm5uePz4MRwcHBAcHIyaNWtqOywiIsqDPCfApqamCA8Ph6Ojo1r5o0ePUKZMmQILjIhI29JUKhy/F43I+CTYmRrB4OVDdO7UES9evEDt2rVx4MABVKxYUdthEhFRHuU5Af7iiy8wePBg/Pjjj2jevDlkMhlOnDiByZMno1evXoURIxFRkQsMDcdY/4uIiE2UymSvX0KYVcEnVati7969sLKy0mKERESUX3lOgH/88UfIZDLpHvcAIJfLMXz4cPzwww8FHiARUVELDA2H95rjEO+UC4U54D4WY/t+wuSXiKgEy/MqEPr6+vj5558RExOD0NBQXL58GS9fvsSSJUtgYGBQGDESERWZNJUKY/0vZkp+AQAyHchkMkzbcxNpKlVRh0ZERAVE4wQ4MTERI0eORIUKFWBtbY0hQ4bAzs4O9erVg0KhKMwYiYiKzPF70WrTHt4lADyKTcTxe9FFFxQRERUojRPgmTNnws/PDx07dkTPnj0RHByM4cOHF2ZsRERFLjI+qUDrERFR8aPxHODAwECsXbsWPXv2BAD07dsXLVq0QFpaGnR1dQstQCKiomRtrK9RPTtTo0KOhIiICovGI8CPHj2Ck5OT9PjTTz+Fnp4enjx5UiiBEREVtaSkJCydOhx49QIQWc/xlQGwN1fAqXq5og2OiIgKjMYJcFpaGvT11UdG9PT0pJUgiIhKstjYWLi5uWH3rp2Qn/3r7QVv79RJf7zUuzF0dfJ8DTERERUTGk+BEEJg4MCBais9vHnzBl999RWMjY2lssDAwIKNkIiokEVGRsLd3R1Xr16FmZkZdq6ej+emlTOtA1zRXIGl3o3h2cBBi9ESEdH70jgBHjBgQKayvn37FmgwRERF7cGDB2jfvj3u378PW1tbBAUFoX79+gCALvUqqt0Jzql6OY78EhF9ADROgNetW1eYcRARaYWbmxv+++8/VK1aFcHBwahataq0TVdHBy41bbQYHRERFQYOZRBRqXTy5EkAwLNnz1C/fn2cPHlSLfklIqIPFxNgIip1duzYgW7dugEAmjdvjpCQENja2mo5KiIiKipMgImoVFm3bh08PT2RnJwMANi2bRvMzc21GxQRERUpJsBEVGosWrQIgwYNgkqlki7iNTQ01HJURERU1JgAE9EHTwiByZMnY8qUKQCAyZMnY/ny5VqOioiItEXjVSCIiEqi1NRUDB06FH5+fgCAhQsXYvLkyVAqldoNjIiItIYJMBF9sJKSkvDFF19g165d0NXVxe+//w4fHx9th0VERFrGKRBE9EGKjY1Fu3btsGvXLhgaGiIwMDDfyW9qaiq+++47VKlSBUZGRqhatSpmz54NlUol1XFxcYFMJsMPP/yQaf8OHTpAJpPB19cXAJCQkIBq1aphwoQJavUePnwIU1NTrFmzJttYZDJZpp+VK1eq1bl27RqcnZ1hZGSEChUqYPbs2RBCSNvT0tIwf/58ODo6wsjICJaWlvjss89yXe/d19cXjo6OMDY2hoWFBdq2bYuzZ89mqnf69Gm0bt0axsbGMDc3h4uLC5KSknJsm4ioKHEEmIg+OFFRUXB3d8eVK1dgamqKXbt24fPPP893ewsWLMDKlSuxfv161KlTBxcuXICPjw/MzMwwduxYqZ69vT3WrVuHr7/+Wip78uQJDh8+DDs7O6nMxMQE69atQ5s2bdCtWzc4OTlBCAEfHx+0aNECQ4YMyTGedevWwd3dXXpsZmYm/T8+Ph6urq5o1aoVzp8/j7t372LgwIEwNjbGxIkTAbxNZFevXo3ly5ejSZMmiI+Px4ULFxATE5PjcWvWrInly5ejatWqSEpKwpIlS+Dm5oZ79+6hXLlyAN4mv+7u7pg2bRqWLVsGfX19XLlyBTq8gx4RFSNMgInog/Lvv//Czc0N9+/fh42NDfbv3y/d2ji/Tp8+jS5duqBjx44AgMqVK2PLli24cOGCWr1OnTrh77//xsmTJ9GiRQsAgJ+fH9zc3BAeHq5W9/PPP8fo0aPh4+ODK1eu4Pfff0doaCiuX7+eazzm5ubZrlu8adMmvHnzBn5+fjAwMMDHH3+Mu3fvYvHixZgwYQJkMhl27dqFESNGoHv37tJ+mvRR79691R4vXrwYa9euxdWrV9GmTRsAwPjx4zFmzBi1DwE1atTItW0ioqLEj+RE9MEIDQ1FixYtcP/+fVStWhUnT5587+QXAFq2bIlDhw7h7t27AIArV67gxIkT6NChg1o9fX199OnTR20qgZ+fHwYNGpRlu/PmzYNcLkffvn3xzTffYNmyZahQoUKu8YwaNQpWVlb45JNPsHLlSrWpGKdPn4azszMMDAyksnbt2uHJkyd4+PAhAMDW1haHDx9GdHS0xn3wrpSUFKxevRpmZmZSHz979gxnz56FtbU1mjdvDhsbGzg7O+PEiRP5Pg4RUWEoMQnw3Llz0bx5cygUCo0XrQ8MDES7du1gZWUFmUyG0NDQTHXS5+1l/OnZs2fBBk9Ehe7YsWNwdnbG06dPpVsbV6tWrUDanjp1Knr16gVHR0fI5XI0bNgQ48aNQ69evTLVHTx4MP7++2+8fv0ax44dQ1xcnDRy/C5DQ0MsXboU27dvh4uLi7Q2cU6+//57/PPPPzh48CB69uyJiRMnYt68edL2qKgo2NjYqO2T/jgqKgrA25Hb6Oho2Nraol69evjqq6+wb98+jfpi9+7dMDExgaGhIZYsWYLg4GBYWVkBAO7fvw/g7RSLoUOHIigoCI0aNUKbNm0QFhamUftEREWhxCTAKSkp6N69O4YPH67xPq9fv0aLFi2yvCglo6FDhyIyMlL6WbVq1fuGS0RFaOfOnWjXrh3i4+Ph5ORU4Lc2/uuvv7Bx40Zs3rwZly5dwvr16/Hjjz9i/fr1merWq1cPNWrUgL+/P/744w/069cPcrk827bXrl0LhUKBa9euIS4uTipv3749TExMYGJigjp16kjl3333HZo1a4YGDRpg4sSJmD17NhYtWqTWpkwmU3ucfgFcevlHH32E69ev48yZM/Dx8cHTp0/RuXNnae7xpk2bpGNbWFjgxo0bUlutWrVCaGgoTp06BXd3d/To0QPPnj0DAGkketiwYfDx8UHDhg2xZMkS1KpVC3/88UfuHU1EVERKzBzgWbNmAYC0lqcm+vXrBwDS137ZUSgUefpjmZycLN1GFXh70QkAKJXKfK8tmr4f1ybNGftJMx9qP6WpVDh9/zmiXr2BbRlDNKtqha1btmD06NGQyWTw8vLCunXrYGhomOtzz0sfTZ48GZMnT4aXlxcAwNHREffv38e8efOkebFCCKhUKiiVSgwYMADLly/HrVu3cPLkSSiVSgghkJaWpna8v//+Gzt37sSxY8fg4+ODsWPH4vfffwcA/Pbbb9LKCXK5PNs40y9ii4iIgI2NDaytrfHkyRO1+o8fPwYAWFpaqpU3aNAADRo0wKhRo7Bp0yb4+PhgypQpaN++Pc6fPw/g7QoYt27dkvbT19dHpUqVUKlSJTRu3BgfffQRVq9ejalTp0ojwTVr1lQ7Tq1atfDw4cMP7nzM6EN9zRW04tZPxSUOKnolJgEuTJs2bcLGjRthY2OD9u3bY+bMmShTpky29efPny8l5BkdOHAACoXivWIJDg5+r/1LC/aTZj7UflIAiI8E9t8FLCwssHHjRmnb4cOH89SWJn0UFxeHmzdvYu/evVLZvXv3kJCQIJW9ePECDx48wN69e1G2bFlcvXoVlStXxsOHD/Hw4UPEx8cjLCxMqh8bG4vRo0ejV69eiIyMxKBBgzB16lQ4ODigcePGmWLIOAqb0Z49e6Cvr48zZ85ALpfDxMQE27dvx44dO6SR58DAQFhaWuLmzZu4detWlu28fPkSABAUFIRKlSqpbTMwMMi2nxISEnD9+nXs3bsXQghYWlpi7969sLCwkOpcvHgRjRo1Uuu/D9WH+poraMWlnxITE7UdAmlJqU+A+/TpgypVqsDW1hbXr1/HtGnTcOXKlRxfnNOmTVNbvzM+Ph729vZwc3ODqalpvuJQKpUIDg6Gq6trjl+XlnbsJ818aP2061oE+q0/BfHuBqECIENHg0fYNHdipq/+c5KXPuratSt2796N9u3b46OPPkJoaCiCgoIwYMAA6UK4xYsXo0qVKtJjNzc3yOVyGBsbAwBmzJiBGjVqSNu9vLzw8ccfY+XKldISYdHR0Vi3bh3GjBmjtrRZut27d+Pp06do2rQpjIyMcPToUfz111/48ssv0aVLFwBAixYtsH37dvj7+2Pq1Km4d+8etm/fjm+//Vaai/zFF1+gefPmaNasGWxsbPDw4UP8/fffqFGjBoYOHQo9vf/9aUjvp+bNm+PHH39E586dYWtri5cvX2LlypWIiYnB119/LU3T+OabbzB79mx4enqifv362LBhAyIjIzFnzpwCm5NdHH1or7nCUtz6Kf0bXCp9tJoA+/r6ZjmSmtH58+fRpEmTQoth6NCh0v8//vhj1KhRA02aNMGlS5fQqFGjLPcxMDBQu8I6nVwuf+8XdEG0URqwnzTzIfRTmkqFsYGhSEzLaqsOAIGzBo7Q1dODbj7WmtWkj3799VdMnz4dY8aMwbNnz1C+fHkMGzYMM2bMkPaVyWTQ0dGRHqevi5tOJpNBV1cXcrkcf/75Jw4dOoTQ0FC195LZs2djz549mDJlSpZzZo2MjLBq1SpMnjwZKpVKuiHHyJEjpaTVysoKwcHBGDlyJJo1awYLCwtMmDABkydPlj4gtG/fHlu2bMHChQsRFxcHW1tbtG7dGr6+vjAyMsqyDwwNDREWFoYvvvgCz58/R9myZfHJJ5/g+PHjaNCggVRv4sSJUCqVmDx5Ml6+fIn69esjODgYjo6OufwmPgwfwmuuKBSXfioOMZB2aDUBHjVqVK4rLlSuXLlogvl/jRo1glwuR1hYWLYJMBEVneP3ohERm9PXlDI8ik3E8XvRcKlpk0O9/CtTpgyWLl2KpUuXZlsnJCQkxzYyrkLTv39/9O/fP1MdfX19XLt2Lds23N3d1W6AkZ26devi2LFj2W4fOnSo2od/TaTfTU8TX3/9tdo6wERExY1WE2ArKyvpooni4saNG1AqlWp3bSIi7YmM1+wWuprWIyIiKjFzgMPDw/Hy5UuEh4cjLS1NGk2pXr06TExMALy9Mnv+/Pno1q0bAEj1nzx5AgC4c+cOgLeLwNva2uLff//Fpk2b0KFDB1hZWeHmzZuYOHEiGjZsKN3FiYi0y84066/k81uPiIioxKwDPGPGDDRs2BAzZ85EQkICGjZsiIYNG6rdivTOnTtq62ju3LkTDRs2lC786NmzJxo2bIiVK1cCePt146FDh9CuXTvUqlULY8aMgZubGw4ePAhdXd2ifYJElKUyCU+gkxj7/xe8ZSYDYG+ugFP1clluJyIieleJGQH28/PLdQ3g9MXe0w0cOBADBw7Mtr69vT2OHj1aANERUWE4dOgQunXrBlW5WoD7WMgAtZUg0td8WOrdOF8XwBWE+Ph4REdHf9ArHBARfWhKzAgwEZUumzZtQvv27fHq1Su4OJjgzz5NUMFcfZ3tiuYK+A9xgmcDhyKNLSYmBn/++Sc8PDxgbW0NJyenTB/AiYio+CoxI8BEVDoIIbBo0SJMnToVwNs1a9evXw8DAwP0/qwmjt+LRmR8EuxMjeBUvVyRjfw+f/4c27dvR0BAAA4ePIjU1FQ0b94c8+fPh7e3d57WICYiIu1iAkxExUZaWhomTJiAX375BQAwYcIELFq0SLpRhK6OTqEtdZaVqKgobNu2DQEBAQgJCYEQAp9//jmWLFmCbt26oUKFCkUWCxERFRwmwERULLx58wb9+vWDv78/AOCnn35Su+NiUYmIiEBgYCD8/f1x4sQJ6OjooHXr1lixYgW6du0Ka2vrIo+JiIgKFhNgItK6mJgYdOnSBcePH4e+vj7Wr1+f601yCtKDBw8QEBCAgIAAnDlzBnK5HK6urli7di08PDxQtmzZIouFiIgKHxNgItKqR48ewd3dHTdv3oSpqSm2b9+OVq1aFfpx7969C39/f8yePRuXLl2CgYEB2rdvjw0bNqBTp04wNzcv9BiIiEg7mAATkdZcu3YN7du3x+PHj1G+fHkEBQWhbt26hXIsIQRu3ryJgIAA+Pv749q1azAwMECnTp0wZcoUdOjQAWXKlCmUYxMRUfHCBJiItCIkJARdunRBfHw8PvroI+zbtw8ODgW7nJkQAleuXIG/vz8CAgJw+/ZtlClTBp07d8b06dMhhEC3bt0gl8sL9LhERFS8MQEmoiL3119/oX///khJSYGTkxO2b98OS0vLAmlbCIHz589LI73379+Hubk5unbtikWLFsHV1RUGBgZQKpXYu3dvgRyTiIhKFibARFSklixZIq3u4OXlhY0bN8LQ0PC92lSpVDh9+rR0IVt4eDisrKzQrVs3rFixAq1atYK+vn5BhE9ERB8AJsBEVCRUKhUmT56MxYsXAwBGjx6NJUuWQFdXN1/tpaWl4fjx4/D390dgYCAiIyNha2sLT09PeHt7w8nJCXp6fIsjIqLM+NeBiApdcnIyBg4ciK1btwIAFi5ciEmTJuX57mlKpRJHjhxBQEAAtm3bhujoaFSsWBE9evSAl5cXWrRoId00g4iIKDtMgImoUMXFxaFr164ICQmBnp4e1q1bh759+2q8f3JyMg4ePIiAgABs374dMTExqFKlCgYOHAgvLy988sknTHqJiChPmAATUaF5/Pgx2rdvj2vXrqFMmTIICAiAq6trrvslJSVh//798Pf3x65duxAfH4+aNWti+PDh8Pb2RoMGDfI8ekxERJSOCTARFYobN26gffv2ePToEWxtbbFv3z40aNAg2/oJCQnYu3cvAgICsGfPHrx+/Roff/wxJkyYAC8vL9SpU4dJLxERFQgmwERU4I4fPw4PDw/ExsaiXLly6NWrV5bJb1xcHHbv3o2AgADs27cPb968QaNGjfDNN9/Ay8sLtWrVKvrgiYjog8cEmIgKVEBAAPr06YPk5GRUqFABjx8/RrVq1aTtL1++xM6dO+Hv74/g4GCkpKSgadOmmD17Nry8vFC1alUtRk9ERKUBE2Aiyrc0lQrH70UjMj4JdqZGuBL0N8aPGwshBKpXr4579+7hxx9/RPfu3bF69WoEBATg8OHDSEtLQ4sWLbBw4UJ4enrC3t5e20+FiIhKESbARJQvgaHhGOt/ERGxif8rfCWAyo1Q3zQVV65cgaenJ/bs2YMpU6YAAFxcXPDzzz+jW7dusLOz01LkRERU2jEBJqI8CwwNh/ea4xDvbjCxAIQKV65cAQDs2LEDbdu2xcqVK9G1a1eUK1euyGMlIiJ6FxNgIsqTNJUKY/0vZk5+AUCmA0Te/V/dtDSEhoYiMTERZ8+exZQpU1CzZs0ii5WIiCgrTICJKE+O34tWn/bwriGrgJRErHSvBNPkF7h79y7u3r2LGzdu4MGDB0yAiYhI65gAE1GeRMYn5V5JXwFTh5ro1aRyocdDRESUV7x/KBHlyX+3rmhUz87UqJAjISIiyh8mwESksd9++w3f+HgBr14AIstZwJABsDdXwKk6L3gjIqLiiQkwEeVKpVJh8uTJGDFiBERaGlrJIyCTyfDujYnTHy/1bgxdHb69EBFR8cS/UESUo6SkJPTo0QM//vgjAOD777/Hod8XwH+IEyqYK9TqVjRXwH+IEzwbOGgjVCIiIo3wIjgiylZ0dDQ8PDxw5swZ6Ovr448//kCfPn0AAJ4NHNClXkW1O8E5VS/HkV8iIir2mAATUZbu3LmDDh064P79+7CwsMC2bdvg7OysVkdXRwcuNW20FCEREVH+MAEmokyOHTuGrl27IiYmBlWqVMG+fftQq1YtbYdFRERUIErMd5Vz585F8+bNoVAoYG5unmt9pVKJqVOnom7dujA2Nkb58uXRv39/PHnyRK1ecnIyRo8eDSsrKxgbG8PDwwMRERGF9CyIir/NmzfD1dUVMTExaNq0Kc6cOcPkl4iIPiglJgFOSUlB9+7dMXz4cI3qJyYm4tKlS5g+fTouXbqEwMBA3L17Fx4eHmr1xo0bh23btmHr1q04ceIEEhIS0KlTJ6SlpRXG0yAqtoQQmDNnDvr06YOUlBR4eXnhyJEjsLa21nZoREREBarETIGYNWsWAMDPz0+j+mZmZggODlYrW7ZsGT799FOEh4fDwcEBcXFxWLt2LTZs2IC2bdsCADZu3Ah7e3scPHgQ7dq1K9DnQFRcKZVKDBs2DOvWrQMATJo0CQsWLIAOL2gjIqIPUIlJgAtCXFwcZDKZNIXi4sWLUCqVcHNzk+qUL18eH3/8MU6dOpVtApycnIzk5GTpcXx8PIC3SYRSqcxXbOn75Xf/0oL9pJmc+ilNpcLp+88R9eoNbMsYoo6VAQYO6I+QkBAYGxvjxx9/xODBg5GWlvZBfxPCc0kz7CfNsJ80U9z6qbjEQUVPJkQ2t3Mqpvz8/DBu3DjExsbmab83b96gZcuWcHR0xMaNGwG8nevo4+OjlswCgJubG6pUqYJVq1Zl2Zavr680Ip3R5s2boVAostiDiIiIipvExET07t0bcXFxMDU11XY4VIS0OgKcXSKZ0fnz59GkSZP3Oo5SqUTPnj2hUqmwYsWKXOsLISCTvXuPq/+ZNm0aJkyYID2Oj4+Hvb093Nzc8v0CUiqVCA4OhqurK+Ryeb7aKA3YT5rJqp92XYtAv/WnkOkTr1ABkGFOq4oY3alFUYeqNTyXNMN+0gz7STPFrZ/Sv8Gl0kerCfCoUaPQs2fPHOtUrlz5vY6hVCrRo0cPPHjwAIcPH1ZLUG1tbZGSkoKYmBhYWFhI5c+ePUPz5s2zbdPAwAAGBgaZyuVy+Xu/oAuijdKA/aSZ9H5KU6kwNjAUiVnOaNCBDMDSizEY20W31N3IgueSZthPmmE/aaa49FNxiIG0Q6sJsJWVFaysrAqt/fTkNywsDEeOHEHZsmXVtjdu3BhyuRzBwcHo0aMHACAyMhLXr1/HwoULCy0uoqJ2/F40ImITs90uADyKTcTxe9G8sQUREX3wSsxQT3h4OEJDQxEeHo60tDSEhoYiNDQUCQkJUh1HR0ds27YNAJCamgpvb29cuHABmzZtQlpaGqKiohAVFYWUlBQAb1eKGDx4MCZOnIhDhw7h8uXL6Nu3L+rWrSutCkH0IYiMTyrQekRERCVZiVkFYsaMGVi/fr30uGHDhgCAI0eOwMXFBcDbW7fGxcUBACIiIrBz504AQIMGDdTayrjPkiVLoKenhx49eiApKQlt2rSBn58fdHV1C/cJERUh1auXGtWzMzUq5EiIiIi0r8QkwH5+frmuAZxxQYvKlStDkwUuDA0NsWzZMixbtux9QyQqlvbu3YsRffoAHrMAE0sgiws8ZQAqmivgVL1c0QdIRERUxErMFAgiyrtFixahU6dOiI+NRa3o85DJZHg3/U1/vNS7cam7AI6IiEon/rUj+gC9evUKADBnzhwIITB8+HBc3b4W/kOcUMFcfa3qiuYK+A9xgmcDB22ESkREVORKzBQIItLM7du30bNnT8yaNQv6+vpYtmwZBg8eDADwbOCALvUq4vi9aETGJ8HO1AhO1ctx5JeIiEoVJsBEH5AdO3agX79+SE1NBQAEBQXhs88+U6ujq6PDpc6IiKhU47AP0QdApVJhxowZ6Nq1K169eoUWLd7e0a1x48ZajoyIiKj4YQJMVMLFxsbCw8MD33//PQBgzJgx2LFjh5ajIiIiKr44BYKoBLtx4wa6deuGsLAwGBoaYvXq1ejXrx+USqW2QyMiIiq2mAATlVD+/v4YOHAgXr9+DQcHB2zbtg2NGjXSdlhERETFHqdAEJUwaWlpmDZtGrp3747Xr1+jdevWuHDhApNfIiIiDXEEmKgEefnyJXr37o39+/cDACZOnIgffvgBenp8KRMREWmKfzWJSogrV66gW7duePDgAYyMjPDHH3+gZ8+e2g6LiIioxOEUCKISYOvWrWjWrBkePHiAKlWq4PTp00x+iYiI8okJMFExlpqaikmTJqFXr15ISkqCm5sbLly4gPr162s7NCIiohKLCTBRMfX8+XO0a9cOP/30EwBg2rRp2Lt3LywtLbUcGRERUcnGOcBEWpamUuH4vWhExifBztQITtXL4UpoKLp164bw8HAYGxvDz88P3t7e2g6ViIjog8AEmEiLAkPDMdb/IiJiE6UyS32BV3t/gzI8HDVq1MC2bdtQp04dLUZJRET0YWECTKQlgaHh8F5zHOKd8pfJAmgzHI3q1cWh1T/A3NxcG+ERERF9sDgHmEgL0lQqjPW/mCn5BQDIdAAZEF2zHcqYmhZ1aERERB88JsBEWnD8XrTatIfMZHgUm4jj96KLLCYiIqLSggkwkRZExicVaD0iIiLSHBNgIi0Qr2M0qmdnalTIkRAREZU+TICJipAQAn/++Se+7OwMvHoBiCxnAUMGwN5cAafq5Yo2QCIiolKACTBREYmJiUGvXr0wYMAAvH71CrVfXIRMJoPsnXrpj5d6N4auDl+iREREBY1/XYmKwNGjR1G/fn389ddf0NPTw9y5c3Ftxx/wH+KECuYKtboVzRXwH+IEzwYOWoqWiIjow8Z1gIkKUUpKCnx9ffHDDz9ACIHq1atj06ZN+PTTTwEAng0c0KVexUx3guPILxERUeFhAkxUSO7evYs+ffrgwoULAIDBgwdj6dKlMDExUaunq6MDl5o22giRiIioVOIwE1EBE0JgzZo1aNiwIS5cuAALCwv4+/tjzZo1mZJfIiIiKnocASYqQC9evMCXX36JwMBAAEDr1q2xfv16VKxYUcuRERERUTqOABMVkEOHDqFevXoIDAyEXC7HwoULERwczOSXiIiomGECTFqXmpqK7777DlWqVIGRkRGqVq2K2bNnQ6VSSXVcXFwgk8mwcOHCTPt36NABMpkMvr6+AICEhARUq1YNEyZMUKv38OFDmJqaYs2aNVnG8eLFC7i7u6N8+fIwMDCAvb09Ro0ahfj4eKlOSEgIunTpAjs7OxgbG6NBgwbw8/PD5MmT0bZtWzx58gQ1a9bEl19+ibVr18LY2BiWlpb47LPPsG7duhz7wdfXF46OjjA2NoaFhQXatm2Ls2fPZqp3+vRptG7dGsbGxjA3N4eLiwuSknjHOCIiIk1xCgRp3YIFC7By5UqsX78ederUwYULF+Dj4wMzMzOMHTtWqmdvb4/169dj0aJFUtmTJ09w+PBh2NnZSWUmJiZYt24d2rRpg27dusHJyQlCCPj4+KBFixYYMmRIlnHo6OigS5cumDNnDsqVK4d79+5h5MiRePnyJTZv3gwAOHXqFOrVq4epU6fCxsYGa9euhY+Pj9TGV199BTMzM6xbtw7Lly9HkyZNEB8fjwsXLiAmJue7v9WsWRPLly9H1apVkZSUhCVLlsDNzQ337t1DuXJvb4hx+vRpuLu7Y9q0aVi2bBn09fVx5coV6HDVCCIiIs2JEmLOnDmiWbNmwsjISJiZmeVaPyUlRUyZMkV8/PHHQqFQCDs7O9GvXz/x+PFjtXrOzs4CgNrPF198kafY4uLiBAARFxeXp/3ejXf79u0iJSUl322UVB07dhSDBg1SK/P09BR9+/aVHjs7O4vhw4eLsmXLivnz50v9NHfuXNG5c2dRv359MXPmTLU2xo8fL6pVqyYSEhLEkiVLhLm5uYiIiMhTbD///LOoWLFipnKVSiVWrFghDA0NBQBhYGAgduzYIYQQon79+sLX1zdPx8lK+nl18OBBqaxp06biu+++y3Xf0nw+aYp9pBn2k2bYT5opbv1UEH+/qWQqMcNGKSkp6N69O4YPH65R/cTERFy6dAnTp0/HpUuXEBgYiLt378LDwyNT3aFDhyIyMlL6WbVqVUGHTzlo2bIlDh06hLt37wIArly5ghMnTqBDhw5q9fT19dGrVy8cOnRIKvPz88OgQYOybHfevHmQy+Xo27cvvvnmGyxbtgwVKlTQOK4nT54gMDAQzs7OauXPnj2Dh4cHRowYgTdv3sDc3BwDBw6Uzi1bW1scPnwY0dHRGh/rXSkpKVi9ejXMzMxQv3596bhnz56FtbU1mjdvDhsbGzg7O+PEiRP5Pg4REVFpVGIS4FmzZmH8+PGoW7euRvXNzMwQHByMHj16oFatWvjss8+wbNkyXLx4EeHh4Wp1FQoFbG1tpR8zM7PCeAqUjalTp6JXr15wdHSEXC5Hw4YNMW7cOPTq1StT3YEDB+LkyZN4/fo1jh07hri4OHTs2DHLdg0NDbF06VJs374dLi4u6Nu3r0bx9OrVCwqFAhUqVMg0ZzgoKAj16tXD7t27oa+vj4EDByIxMRGjR4+W6ixevBjR0dGwtbVFvXr18NVXX2Hfvn0aHXv37t0wMTGBoaEhlixZguDgYFhZWQEA7t+/D+DtXOGhQ4ciKCgIjRo1Qps2bRAWFqZR+0RERFTK5gDHxcVBJpPB3NxcrXzTpk3YuHEjbGxs0L59e8ycORNlypTJtp3k5GQkJydLj9MvklIqlVAqlfmKLX2//O5fkv3111/YuHEj/vzzT3z00Ue4cuUKJk2aBGtra/Tv3x/A27V1VSoVateuDTs7O/z99984ceIE+vTpI21PS0vL1H+///47FAoFrl27hufPn0sfbjp37iyNnDo4OODKlSsAgDSVCt7Dp6BxNx+8eRaBzSt+xLhx4/Djjz9ixowZWLlyJQCgUaNGGD58OMaNG4fffvsNNWvWlI5do0YNXL58GZcuXcLJkydx/PhxdO7cGf3798eqVauwefNmjBw5Uopx165daNmyJYC3o+Hnz5/HixcvsHbtWvTo0QMnTpyAtbU1UlJSAABDhgyRkvmFCxfi4MGD+P333zF37lypzdJ8PmmKfaQZ9pNm2E+aKW79VFzioKInE0IIbQeRF35+fhg3bhxiY2PztN+bN2/QsmVLODo6YuPGjVL577//jipVqsDW1hbXr1/HtGnTUL16dQQHB2fblq+vL2bNmpWpfPPmzVAoFHmKi97eIc3Ly0ttysPff/+No0eP4tdffwUAfPvtt6hSpQqGDBmCvXv34siRI3j06BEWLVoEe3t7jBs3Dk2bNlUbNT5x4gR+/vlnLFiwAEuXLkWNGjWkkdoXL15ICaWuri6sra2zjO3mzZv45ptv8Mcff8DS0lIqv379OubMmQMfHx+0a9cu1+cYEhKCpUuXYtWqVTA1NVU7fy0tLWFgYJDlfsOHD0ebNm3g7e2Np0+fYtiwYRg3bhxcXFykOosWLYKurm6mVS+IiChniYmJ6N27N+Li4mBqaqrtcKgIaXUEOLtEMqPz58+jSZMm73UcpVKJnj17QqVSYcWKFWrbhg4dKv3/448/Ro0aNdCkSRNcunQJjRo1yrK9adOmqSUb8fHxsLe3h5ubW75fQEqlEsHBwXB1dYVcLs9XGyWVEAJ169ZVS4CvXbuGc+fOSWWLFy9GlSpV4OrqioSEBPz555+oV68ehg0bBgCYMWMGatSoIdV/+vQpBg8ejO+//x6jRo1Cs2bN4OTkhLFjx8Ld3T1TDLuuRaDf+lN499Ng2uNEAMDwucthm/oCK1asgL6+PubPn48FCxZoPCfdzs4OS5cuxSeffIKPP/5Y475RKBSoXLkyOnToACEEZs2aBSMjI7W+mjlzJtq1a6dWVprPJ02xjzTDftIM+0kzxa2fMi5zSaWLVhPgUaNGoWfPnjnWqVy58nsdQ6lUokePHnjw4AEOHz6ca4LaqFEjyOVyhIWFZZsAGxgYZDliJ5fL3/sFXRBtlDSdO3fGDz/8gCpVqqBOnTq4fPkyfv75ZwwaNEjqC5lMBh0dHcjlcpiYmCA8PBwKhUJtu66urvR41KhRqFWrFiZPngwdHR189tlnmDJlCkaMGIHr16+rzfNOU6kwNjAUif+GAklxgHVVQG4IvHwMnN4K2NaArO0wnPbtgju3b6Fjx44YO3YsevTogRcvXgB4e4Fe+gixt7c3WrRogebNm8PW1hYPHjzAtGnTULNmTdStWxd6eplfdq9fv8bcuXPh4eEBOzs7vHjxNtmOiIhAz549pec1efJkzJw5E40aNUKDBg2wfv163LlzBwEBAVmeN6XxfMor9pFm2E+aYT9pprj0U3GIgbRDqwmwlZWVdIFPYUhPfsPCwnDkyBGULVs2131u3LgBpVKptq4sFa5ly5Zh+vTpGDFiBJ49e4by5ctj2LBhmDFjRrb7mJubZ/vG9eeffyI4OBihoaFq6+POnDkTO3fuxPjx4/HHH39I5cfvRSMiNhHQ0wduhgAnNgFpSsCkLFCtCdCoM97oGeNO/NspOImJiZg/fz7mz58vteHs7IyQkBAAQLt27bBlyxbMnz8fcXFxsLW1RevWreHr65tl8gu8nYZx+/ZtrF+/Hs+fP0fZsmXxySef4Pjx46hTp45Ub9y4cXjz5g3Gjx+Ply9fon79+ggODka1atU06WoiIiJCCboILjw8HC9fvkR4eDjS0tIQGhoKAKhevTpMTEwAAI6Ojpg/fz66deuG1NRUeHt749KlS9i9ezfS0tIQFRUF4O2cS319ffz777/YtGkTOnToACsrK9y8eRMTJ05Ew4YN0aJFC2091VKnTJkyWLp0KZYuXZptnfTkMrsLFtLPBwDo37+/dPFcRvr6+rh27Vqm8sj4/7+LWsWPgIozs40hMj4Jfn5+8PPzy7YO8HZaTcapNZowNDREYGCgRnW//vprfP3113lqn4iIiP6nxCTAM2bMwPr166XHDRs2BAAcOXJEuiDozp07iIuLAwBERERg586dAIAGDRqotZW+j76+Pg4dOoSff/4ZCQkJsLe3R8eOHTFz5kzo6uoW/pOiIpWmUuH4vWhExifBztQITtXLQVdHB9Ym+hrtb2dqVMgREhERUVEoMQmwJiNvGRe0qFy5MnJb4MLe3h5Hjx4tiPComAsMDcdY/4tvpzr8v4rmCoz/xApb500GHHsDJhaALPPS2LL/r+tUvVwRRkxERESFpcTcCIMovwJDw+G95rha8gsAEbGvMfHAfzj/PA1GFwMAmQyyd/ZNf7zUuzF0dfhyISIi+hDwLzp90NJUKoz1v5hpebO3ZAAEjNy+xJ2gzQgY8jkqmKuv41zRXAH/IU7wbOBQBNESERFRUSgxUyCo9ImPj8fu3bthYGAALy+vfLUhrfCQHZkOknQV+DdRD54NKqBLvYpZzhMmIiKiDwcTYCpWYmJisHPnTvj7++PAgQNISUnBgAED8p0ASys8aFhPV0cHLjVt8nUsIiIiKhmYAJPWRUdHY/v27QgICMChQ4eQlpaG5s2bY8GCBfD09ISDQ+7TD7Ja4UFHJsOti6c1ioErPBAREZUeTIBJKyIjI7Ft2zb4+/tLK3E4Oztj6dKl6NatG8qXL69xW1mt8GCt0IPljd24vW8T0G8pYGIJyN69xI0rPBAREZVGTICpyDx69AgBAQEICAjAyZMnoauri9atW2PlypXo0qULrK2t89xm+goP717k9ux1Cp5Vbgd9xwfwrKjEX3Fvk9+M9bjCAxERUenEBJgK1f379xEQEAB/f3+cO3cO+vr6cHNzwx9//AEPDw9YWlrmu+0cV3iQ6QBCwKrLOGz83hPdr0ZkuQ7wUu/GXOGBiIiolGECTAXuzp07UtJ7+fJlGBoaon379ti0aRM6duwIMzMzjdt6d27vZ5XMpW25r/Agw5NXyTh+LxqeDRy4wgMREREBYAJMBUAIgRs3bsDf3x8BAQG4fv06jI2N0alTJ0ybNg3t27eHiYlJntvNam5vdUsFfmysg4SEBKzc+BeAsrm2wxUeiIiIKCMmwJQvQghcvnxZGum9e/cuTE1N4eHhgTlz5sDNzQ1GRvlfWSG7ub1P4hIBmKBWu56IfvwI6PZtrm1xhQciIiLKiAkwaUwIgXPnzkkjvQ8ePIClpSW6dOmCJUuWoE2bNjAwMHjv4+Q0tze9LKFuJ1SPW4GX+gIxKbIs63KFByIiIsoKE2DKkUqlwqlTp6SkNyIiAtbW1ujWrRu8vLzg4uICuVyer7azWrtXV0cn97m9AGBiiZU7DiHuTSq81xz//5sa/w9XeCAiIqLsMAGmTFJTU3Hs2DEEBAQgMDAQUVFRKF++PDw9PeHt7Y2WLVtCV1f3vY6R1fzeiuYK/OzdGEkpqRq18SwhBb2aVIb/ECeu8EBEREQaYwJMAAClUonDhw/D398f27dvx/Pnz+Hg4IDevXvDy8sLn332GXQKaCQ1u/m9j2MT4bXmGMzvHAZqtcm1nfS5vVzhgYiIiPKCCXAplpycjODgYPj7+2PHjh2IjY1FtWrVMHjwYHh5eaFJkyaQZXH3tPeR6/xeIRBbvgFkr2MgjM3xv8kM6iqaqc/t1dXRQVXDZJgmvAQSgCuhjws07pImNTUV//77Ly5fvgw9vcJ5mVtZWWl0m2oiIqLihglwKZOYmIigoCAEBARg165dePXqFRwdHTFq1Ch4e3ujXr167530Zje3F9Bk7V4doExZfOvqiLnBtwFkPbf3h64N1EZ4w8PDUbt2bSQm5jJ3mAqMQqHArVu3mAQTEVGJwwS4hFOpVFCpVDmO8iUkJGDPnj0ICAjAnj17kJiYiHr16mHSpEnw9vbGRx99VGDx5DS31626Jf7ecwBA7lMTPqpQNsu5vRXMFACAznUrqtV//vw5EhMT8f3336NKlSoF82QoWw8ePMD06dOlqTJEREQlCRPgEiwqKgpt27aFh4cH5s2bp7YtLi4Ou3btgr+/P/bv3483b96gcePGmD59Ory8vFCjRo18HTOn0d3s5vZGxCbC6/dj0D+yEilxLzVeu9elpk2mub2fVTLH/qCgbPerUqUKHB0d8/XciIiIqHRgAlxM5ZRoAsCTJ0/QunVrJCQkwMfHBwDw4sUL7Ny5E/7+/ggODoZSqcRnn32GOXPmwNPT871HRnMa3e1Sr2K2c3vfEkj5pAeqnFyOFzpKvFLJNVq79927tymVyvd6DkRERERMgIuhnBJNzwYOePz4MVq1aoWkpCQEBATg8OHDGDlyJA4fPgyVSgUnJyf8+OOP8PT0RMWKFXM4krr8jO4+jk2E95rjGPVpeY3m9q7dewwxiSlcu5eIiIi0hglwMbPrWgS8/ziVbaK5slM1zB/eC3FxcahZsyaaN28OmQxoWKcGpowdipHjv0GFivZq++Y2mgzkf3Q3feWGZUfvAEZlcn1+UfFvuHYvERERaRUT4GJm6vbQ7BNNZTK+6uwMkZoCmUyGl9FPMN7JBGMbpsHePBLAZjxZsw9nPp2BzzoMApAhsY2OAR5cBBzqoqKtjTSanF4np9Fd3w51cxndlWmU/AJFv3ZvamoqVq9ejaCgILx48QJWVlbo1KkTBg8eLK1r/OWXX+LSpUsYNWoUBg4cqLb/mDFjcOrUKQwdOhTDhg1DYmIievXqBWdnZ0yYMEGq9+TJE/Tq1Qvjx49H165dM8URGxuL6dOnIywsDHFxcbC0tMTnn3+OkSNHwsTEBADw8OFDzJ8/Hw8ePEBCQgLKlSuHdu3a4csvv5QuckxLS8Off/6J3bt3IyoqCgYGBnBwcICnpyc8PDyy7YdVq1bhwIEDePr0KeRyOWrXro0RI0bg448/Vqt39epVrFixAtevX4eenh5q1qyJX375BYaGhvnpfiIiomKJCXAx8zgu50RTWFaEnUEa4l88Q9j9R/jpPrD4KFDFQoZtXyjwsU0MbM+NxxkAT8q3hdeKA8D1Q0DoXiD5NdD1Wzw2LAPvNcfhP8RJo9Fd321nAAPjXGO3VOgjJjFFo7m9QOb5vYVh/fr1CAgIwKxZs1C1alXcvHkTs2fPhomJCXr16iXVs7Gxwc6dO9US4OjoaFy4cAFWVlZSmUKhwMyZMzF8+HC0atUKDRs2hBACs2bNQv369bNMfgFAR0cHzs7OGD58OCwsLPDo0SMsWLAA8fHxmDt3LgBAT08PHTt2hKOjI8qUKYO7d+9i7ty5EEJg5MiRAIDVq1dj27ZtmDJlCmrXro3Xr1/j5s2biI+Pz7EfKlWqhClTpqBChQpITk7G5s2bMXLkSGzfvh0WFhYA3ia/o0ePho+PDyZPngy5XI67d+8W2A1QiIiIigsmwCWJnj7QfTaSz2/GrQFp+L/27jwuqqr/A/hngBmGXdkHRRFREMUNEhFIzQWlXHpSM8zIpRItccugVLACtycte7CSUHhSkZT8aaQIWZiEuSD0WICoiLhguIDiBgPz/f1h3BzZRmFgcL7v12teOmfOPXPOd2Yu37lz7rmS+2U4c0OBU9cUuFROsDYSQUcEKAgwOxiOERn7gWN7Afk9oMdgoP8YwNTq7wSVMH3zz3hBehkX7zQw5UAkAqmQ/AJA8BAXhO/9n0bN7T158iQGDx4MHx8fAICdnR3279+PnJwcpXq+vr5ITU1FdnY2+vbtCwD4/vvv4enpib/++kupbv/+/fHyyy9j+fLliI+Px65du5Cfn4+EhIR6+2FqaooJEyYI92UyGSZOnIhvvvlGKOvYsaPSnG2ZTIbMzExkZWUJZYcOHcKECRMwfPhwoax79+6NxmHUqFFK9+fPn4/du3fj9OnTGDBgAABg7dq1mDx5stKXAF7ijDHG2NOIE+A2yM34Buz1bgHGOrAx1oH3IzlK1JEKLEi5gCrFBcDYHLDoCNy+Dhz6LwDRgykLIh3cFImwtfTyg8eh83f5P49DJPq7vg70xbqoqKaHtn+ojkgEE6kE981y8FLlbezPu4Lyimphe1NDfYztbY+CH4ux9icd6Og8+U2hUCArKwvV1dWQSqV47rnnGvx5vm/fvkhMTMT58+fRuXNn5Ofn4/fff1eavgAAYrEYo0ePxvfffy8kwElJSZg7dy42btxYq905c+YgIyMDS5cuxeHDh/HBBx/A2tpa5dfw6tWr+Omnn9C/f/9661y4cAGHDx/G0KFDhTILCwscP34cEydOFI7cPi65XI5du3bB2NhYSJ5v3LiBP/74A6NGjcL06dNx8eJFODg4YPbs2UI8GGOMsacFJ8AapoOZIc7euFvvNAI7MynmTBwO/JVTR40H2huIINEFqhR/b6UnBnTFABFACkChAKgKgAImRlKU3yv/5zEiAKR8nwjmpvooLrtb52MgBQyMJdi2NRMKhQKmCgUklVWoqq6GCARdEZCUrcCevy/aUd+NqP5F1Orz3//+F1OnTq338cDAQNy+fRsTJkwQEujZs2fXOiIKAOPGjcPMmTOxaNEi5Obm4vbt2/Dx8akzAdbX18fChQvxzjvvYNCgQfD391epv++//z4OHjyIiooK+Pr6YsmSJbXqTJ8+HXl5eaisrMSLL76IWbNmCY/Nnz8f7733Hvz8/ODo6IjevXtj8ODB8Pb2bvS5Dx06hPfffx/379+HpaUloqKi0K5dOwDApUsPLh0dHR2N4OBgdO/eHT/88AOCgoKQkJDAR4IZY4w9VTgB1jCrxvfFhE0Z9U4jWD/xGTiWi4G/6tj4b6/2kWCCqxhuv3rjzNHfgAt/Ai6+gMd4wNRKqe6ut4fh9S2Hcams/qS7YztDnPtwHHb/72KtlRvsm3HlBiICETWYJFdUVCAlJQXPPfccxGJxo0ddU1JSsG/fPnz88cfo2rUrTp06hbVr18LKygovvPCCUt1u3brB3t4eBw4cwPHjx+Hv79/gFfZ2794NqVSKs2fP4vbt28LJbHPnzhWmLchkMnz77bfCNgsWLMCbb76JwsJCbNiwAevWrUNISIhSu5GRkbh79y7y8/Oxfv16fPPNNwgMDAQAODo6IiEhAbm5ucjOzkZWVhYWLFiAF154AUuXLsW+ffuULoqyfv169OvXDwDg4eGBbdu2oaysDLt27UJoaChiY2Nhbm4OhUIBAEon07m4uODYsWPYs2cP3n777QbjzBhjjLUlnABrmDFuHRtdIqy6SobLB9rDFqXQEdVuQ0HAdT0LVHrPAJwnPTgJ7sT3wKl0YEI4YNVFSGyHdLfGZxPcVVqXV90rN4hEIohEogZPupLL5TA1NYW1tTXEYnGjba5fvx6BgYHw8/MDADg5OaG4uBibN2+ulQADwNixY/Htt9/i3LlziIuLq7fdlJQU/PLLL9i0aROWLVuGTz75BGFhYQCAJUuWoKKiAgBqJdCWlpawtLSEg4MD2rVrh5kzZ2LmzJlKJ9rZ2toCeJDsKhQKRERE4NVXX4Wuri6AByfU9ezZEz179sSUKVOwd+9eLFu2DNOnT8ezzz6rtLKDldU/X3gMDAxgb28Pe3t7uLm54cUXX8Tu3bsxbdo04fkfvVhKly5dcOXKlUaizBhjjLUtnABroMYSTV09MYoGLIPt0flQEJSSYMXfGeyFAUuxzm4AJnx9COg7GtRzKHDuBGBqU2diq+q6vC2xckNzun//fq2EWldXt97pFqNGjcJnn32Gbt26wdHRsc46169fx6pVqxAUFAQXFxeEh4dj2rRpGD58OLy9vVWeC1zTh8rKygbrVFVVNTg9pKaf9+7dQ4cOHWBkpNpJi0QkPLednR2srKxw/vx5pTrnz59XaXoFY4wx1pZwAqyhGks0B/pPx28AOh39EHYoFcqLYY4LA5YK6wD/k9gC6D4IQN2JbUuty9vSfH19sWnTJtja2sLR0RGnTp3C1q1b610z19TUFMnJyQ1OfYiMjETnzp0xZcoUAICrqytee+01REZGIiEhQZgK8bD09HTcuHEDrq6uMDQ0REFBAdavX48+ffrAzs4OALBv3z7o6enByckJYrEYeXl5iIqKwsiRI4X+LF68GH369EGfPn1gYWGBS5cuISoqCp06dYKDg0Od/b137x42bdqEZ599FpaWlrh58yZ27NiBkpISYTUJkUiEqVOn4quvvkK3bt3g7OyMpKQknD9/HqtXr1Y53owxxlhb0GYS4IiICPzwww/Izs6GRCJBWVlZo9uEh4dj+/btuHDhAiQSCdzd3REREQFPT0+hTkVFBRYtWoT4+Hjcu3cPw4YNw4YNGx7rEsKtZaD/dFSPnIrsw/tw98YlGJp3gJvXaHTQ+2dqwOMktm3t6K4q3n33XXz55ZdYuXIlSktLYWlpiX/9619444036t3GxKT+i3okJSXhyJEj2LZtm9KR5TfffBO//PKL0lSIh0mlUvzf//0f1q5dC7lcDhsbGwwdOlRpyTFdXV3ExcWhqKgIRCQslRYQECDU8fLywv79+xEbG4vbt2/DwsICzzzzjNLFMh6lo6ODwsJCJCUloaysDGZmZnB1dUV0dDS6du0q1AsICEBlZSXWrVsnXGkwKiqqTXwWGGOMscchoic59b4VhIWFoV27drh48SJiYmJUSoC3bdsGa2trODo64t69e1i3bh127NiBM2fOCHMjg4KC8P333yM2NhYWFhZYuHAhbty4gczMTGHOZWNu3boFMzMz3Lx5E6ampk80Prlcjr1798Lf31+lua3aqr44nThxAu7u7tiyZQtcXFxasYfaIS8vD6+++ioyMzMbXMpNk/FnTjUcJ9VwnFSjaXFqjr/frG1qM0eAly9fDgCIjY1VeZuHj5wBDxb6j4mJwf/+9z8MGzYMN2/eRExMDL755hvhp+AtW7bA3t4eP/74o3DiFGOMMcYYe3q0mQS4qSorK7Fx40aYmZmhT58+AIDMzEzI5XKMHDlSqGdnZ4devXohIyOj3gS4oqJCOMsfgHAZWrlcDrlc/kT9q9nuSbfXFvXFqaqqqjW6o/Wqqqra7HuWP3Oq4TiphuOkGk2Lk6b0g7W8pz4BTkpKwuTJk3H37l3IZDKkpqYKSz5duXIFEomk1hW1bGxsGlz6acWKFcIR6YelpKTA0NCwSf1NTU1t0vba4tE4nT17tpV6ot3S09NRXFzc2t1oEv7MqYbjpBqOk2o0JU53795tvBJ7KrVqAhweHl5nIvmwY8eOwcPD44mfY+jQocjOzsa1a9cQHR2NSZMm4ciRIw0uVUVEEInqWGD3b6GhoUqX0r116xbs7e0xcuTIJs0BTk1NxYgRIzRiXpSmqi9ONReeYC3Lx8dHuNBGW8OfOdVwnFTDcVKNpsWp5hdcpn1aNQF+++23MXny5Abr1Le0k6qMjIzg5OQEJycnDBw4EN26dUNMTAxCQ0Nha2uLyspKlJaWKh0FLikpwaBBg+ptU19fH/r6+rXKxWJxkz/QzdGGNng0TjUrIJw7d661uqRVauKsp6fX5t+v/JlTDcdJNRwn1WhKnDShD6x1tGoCXHNVrJZERML8XXd3d4jFYqSmpmLSpEkAgOLiYvzxxx+89mkbY2lpCUNDQyxdurS1u6I1DA0NW/zzyxhjjDWHNjMHuKioCDdu3EBRURGqq6uRnZ0N4MGlbWsuPODi4oIVK1bgxRdfxJ07dxAREYGxY8dCJpPh+vXr2LBhAy5evIiJEycCAMzMzDBjxgwsXLgQFhYWMDc3x6JFi+Dm5iasCsHahk6dOiE3NxfXrl1r7a5ohKqqKqSnp8PHx6fBi3o0haWlJTp16tR4RcYYY0zDtJkEeNmyZYiLixPu18w7/PnnnzFkyBAAwKlTp3Dz5k0ADy4qkJeXh7i4OFy7dk24YMChQ4fQs2dPoZ1169ZBT08PkyZNEi6EERsbq/IawExzdOrUiROyv8nlchQXF6Nfv378Ex9jjDH2iDaTAMfGxja6BvDD1/SQSqX47rvvGm1XKpXi888/x+eff97ULjLGGGOMsTagzSTAmqwm8W7K2aRyuRx3797FrVu3+IhdAzhOquE4NY5jpBqOk2o4TqrRtDjV/N1uIxfFZc2IE+BmUF5eDgCwt7dv5Z4wxhhj7HGVl5fDzMystbvBWpCI+GtPkykUCly+fBkmJiYNrh/ckJq1hC9cuMDXI28Ax0k1HKfGcYxUw3FSDcdJNZoWJyJCeXk57OzsoKOj09rdYS2IjwA3Ax0dHXTs2LFZ2jI1NdWInYKm4ziphuPUOI6RajhOquE4qUaT4sRHfrUTf91hjDHGGGNahRNgxhhjjDGmVTgB1hD6+voICwur8xLL7B8cJ9VwnBrHMVINx0k1HCfVcJyYpuCT4BhjjDHGmFbhI8CMMcYYY0yrcALMGGOMMca0CifAjDHGGGNMq3ACzBhjjDHGtAonwGqyYcMGdOnSBVKpFO7u7jh06FCD9Q8ePAh3d3dIpVI4Ojriyy+/rFXn008/hbOzMwwMDGBvb4/58+fj/v376hpCi3icOBUXFyMgIADOzs7Q0dHBvHnz6qyXmJgIV1dX6Ovrw9XVFbt27VJT71tOc8cpOjoavr6+aN++Pdq3b4/hw4fj6NGjahxBy1DH+6nG9u3bIRKJMH78+ObtdAtTR4zKysowZ84cyGQySKVS9OjRA3v37lXTCFqGOuKk7fvw7777DiNGjICVlRVMTU3h5eWF/fv316r3NO7DmQYi1uy2b99OYrGYoqOjKScnh4KDg8nIyIjOnz9fZ/2CggIyNDSk4OBgysnJoejoaBKLxbRz506hzpYtW0hfX5+2bt1K586do/3795NMJqN58+a11LCa3ePG6dy5czR37lyKi4ujvn37UnBwcK06GRkZpKurS5GRkZSbm0uRkZGkp6dHv/32m5pHoz7qiFNAQABFRUVRVlYW5ebm0rRp08jMzIwuXryo5tGojzriVKOwsJA6dOhAvr6+NG7cOPUMoAWoI0YVFRXk4eFB/v7+lJ6eToWFhXTo0CHKzs5W82jURx1x4n04UXBwMK1atYqOHj1K+fn5FBoaSmKxmE6cOCHUeRr34UwzcQKsBgMGDKBZs2Yplbm4uFBISEid9RcvXkwuLi5KZW+99RYNHDhQuD9nzhx67rnnlOosWLCAfHx8mqnXLe9x4/SwwYMH1/lHZtKkSTRq1CilMj8/P5o8eXKT+tqa1BGnR1VVVZGJiQnFxcU9aTdbnbriVFVVRd7e3vT1119TYGBgm06A1RGjL774ghwdHamysrK5utnq1BEn3ofXzdXVlZYvXy7cfxr34Uwz8RSIZlZZWYnMzEyMHDlSqXzkyJHIyMioc5vDhw/Xqu/n54fjx49DLpcDAHx8fJCZmSn8TF1QUIC9e/fi+eefV8Mo1O9J4qSK+mLZlDZbk7ri9Ki7d+9CLpfD3Ny82dpsSeqM04cffggrKyvMmDGjSe20NnXFaM+ePfDy8sKcOXNgY2ODXr16ITIyEtXV1U3tcqtQV5x4H16bQqFAeXm50n7naduHM82l19odeNpcu3YN1dXVsLGxUSq3sbHBlStX6tzmypUrddavqqrCtWvXIJPJMHnyZFy9ehU+Pj4gIlRVVSEoKAghISFqG4s6PUmcVFFfLJvSZmtSV5weFRISgg4dOmD48OHN1mZLUlecfv31V8TExCA7O7uJPWx96opRQUEBfvrpJ0yZMgV79+7F6dOnMWfOHFRVVWHZsmVN7XaLU1eceB9e2yeffII7d+5g0qRJQtnTtg9nmosTYDURiURK94moVllj9R8uT0tLQ0REBDZs2ABPT0+cOXMGwcHBkMlkWLp0aTP3vuU8bpxaq83Wps4xrV69GvHx8UhLS4NUKm2WNltLc8apvLwcr776KqKjo2Fpadkc3dMIzf1eUigUsLa2xsaNG6Grqwt3d3dcvnwZa9asaZMJcI3mjhPvw5XFx8cjPDwcu3fvhrW1dbO0ydjj4AS4mVlaWkJXV7fWt9WSkpJa32pr2Nra1llfT08PFhYWAIClS5di6tSpmDlzJgDAzc0Nd+7cwZtvvokPPvgAOjptazbLk8RJFfXFsilttiZ1xanGv//9b0RGRuLHH39E7969m9xea1FHnM6ePYvCwkKMGTNGKFMoFAAAPT09nDp1Cl27dn3yTrcwdb2XZDIZxGIxdHV1hbIePXrgypUrqKyshEQieeK2W4O64sT78H8kJCRgxowZ2LFjR61fnZ62fTjTXG3rE9cGSCQSuLu7IzU1Vak8NTUVgwYNqnMbLy+vWvVTUlLg4eEBsVgM4MEczUd3kLq6uqAHJzI24whaxpPESRX1xbIpbbYmdcUJANasWYOPPvoIycnJ8PDwaFJbrU0dcXJxccHJkyeRnZ0t3MaOHYuhQ4ciOzsb9vb2zdH1FqOu95K3tzfOnDkjfDkAgPz8fMhksjaX/ALqixPvwx+Ij4/H66+/jm3bttU5//lp24czDdby5909/WqWhomJiaGcnByaN28eGRkZUWFhIRERhYSE0NSpU4X6NcugzZ8/n3JycigmJqbWMmhhYWFkYmJC8fHxVFBQQCkpKdS1a1eaNGlSi4+vuTxunIiIsrKyKCsri9zd3SkgIICysrLozz//FB7/9ddfSVdXl1auXEm5ubm0cuXKNr+EjjritGrVKpJIJLRz504qLi4WbuXl5S06tuakjjg9qq2vAqGOGBUVFZGxsTG9/fbbdOrUKUpKSiJra2v6+OOPW3RszUkdceJ9ONG2bdtIT0+PoqKilPY7ZWVlQp2ncR/ONBMnwGoSFRVFnTt3JolEQv3796eDBw8KjwUGBtLgwYOV6qelpVG/fv1IIpGQg4MDffHFF0qPy+VyCg8Pp65du5JUKiV7e3uaPXs2lZaWtsBo1Odx4wSg1q1z585KdXbs2EHOzs4kFovJxcWFEhMTW2Ak6tXccercuXOddcLCwlpmQGqijvfTw9p6AkyknhhlZGSQp6cn6evrk6OjI0VERFBVVVULjEZ9mjtOvA9/sERcXXEKDAxUavNp3IczzSMiaoO/vTDGGGOMMfaEeA4wY4wxxhjTKpwAM8YYY4wxrcIJMGOMMcYY0yqcADPGGGOMMa3CCTBjjDHGGNMqnAAzxhhjjDGtwgkwY4wxxhjTKpwAM8YYY4wxrcIJMGNMI4SHh6Nv374a8dyvv/46xo8f3yp9aWkikQgikQjt2rVrclsODg5Ce2VlZU1ujzHG1IUTYMa0SElJCd566y106tQJ+vr6sLW1hZ+fHw4fPtzaXWuy2NjYZkniAOCzzz5DbGxss7TVFIWFhRCJRMjOzlbr82zevBn5+flNbufYsWNITExshh4xxph66bV2BxhjLeell16CXC5HXFwcHB0d8ddff+HAgQO4ceNGk9qVy+UQi8XN1MvWZ2Zm1tpdaHYNvUbt2rWDtbV1k5/DysoK5ubmTW6HMcbUjY8AM6YlysrKkJ6ejlWrVmHo0KHo3LkzBgwYgNDQUDz//PNCPZFIhC+++AKjR4+GgYEBunTpgh07dgiP1xyV/PbbbzFkyBBIpVJs2bIFCoUCH374ITp27Ah9fX307dsXycnJSn24ePEiJk+eDHNzcxgZGcHDwwNHjhyps7/nzp2Dk5MTgoKCoFAoUFlZicWLF6NDhw4wMjKCp6cn0tLSAABpaWmYNm0abt68KfwEHx4eXm8sVq5cCRsbG5iYmGDGjBm4f/++0uOPToFITk6Gj48P2rVrBwsLC7zwwgs4e/ZsnTHx9fWFgYEBnnnmGeTn5+PYsWPw8PCAsbExRo0ahatXryo91+bNm9GjRw9IpVK4uLhgw4YNwmNdunQBAPTr1w8ikQhDhgxRabv6XiNV1UwJ2bRpEzp16gRjY2MEBQWhuroaq1evhq2tLaytrREREaFym4wxplGIMaYV5HI5GRsb07x58+j+/fv11gNAFhYWFB0dTadOnaIlS5aQrq4u5eTkEBHRuXPnCAA5ODhQYmIiFRQU0KVLl2jt2rVkampK8fHxlJeXR4sXLyaxWEz5+flERFReXk6Ojo7k6+tLhw4dotOnT1NCQgJlZGQQEVFYWBj16dOHiIhOnjxJMpmMQkJChH4FBATQoEGD6JdffqEzZ87QmjVrSF9fn/Lz86miooI+/fRTMjU1peLiYiouLqby8vI6x5eQkEASiYSio6MpLy+PPvjgAzIxMRGem4goMDCQxo0bJ9zfuXMnJSYmUn5+PmVlZdGYMWPIzc2NqqurlWLi4uJCycnJlJOTQwMHDqT+/fvTkCFDKD09nU6cOEFOTk40a9Ysod2NGzeSTCYT4piYmEjm5uYUGxtLRERHjx4lAPTjjz9ScXExXb9+XaXt6nuN6nu9d+3apVQWFhZGxsbGNGHCBPrzzz9pz549JJFIyM/Pj9555x3Ky8ujTZs2EQA6fPiw0rY///wzAaDS0tI6n48xxjQBJ8CMaZGdO3dS+/btSSqV0qBBgyg0NJR+//13pToAlJI0IiJPT08KCgoion+Sq08//VSpjp2dHUVERCiVPfPMMzR79mwiIvrqq6/IxMRESOIeVZMAZ2RkkLm5Oa1Zs0Z47MyZMyQSiWolccOGDaPQ0FAiItq8eTOZmZk1GgMvL686x9dQAvyokpISAkAnT54kon9i8vXXXwt14uPjCQAdOHBAKFuxYgU5OzsL9+3t7Wnbtm1KbX/00Ufk5eWl1G5WVpZSHVW3e/Q1qkt9CbChoSHdunVLKPPz8yMHBwch6ScicnZ2phUrVihtywkwY6wt4CkQjGmRl156CZcvX8aePXvg5+eHtLQ09O/fv9YJX15eXrXu5+bmKpV5eHgI/7916xYuX74Mb29vpTre3t7CdtnZ2ejXr1+Dc0SLioowfPhwLFmyBIsWLRLKT5w4ASJC9+7dYWxsLNwOHjyoNBVBFbm5uXWOryFnz55FQEAAHB0dYWpqKkxNKCoqUqrXu3dv4f82NjYAADc3N6WykpISAMDVq1dx4cIFzJgxQ2lMH3/8cYNjepztHn6NHpeDgwNMTEyU+u7q6godHR2lsprxMMZYW8InwTGmZaRSKUaMGIERI0Zg2bJlmDlzJsLCwvD66683uJ1IJFK6b2Rk1GgdIhLKDAwMGu2blZUV7OzssH37dsyYMQOmpqYAAIVCAV1dXWRmZkJXV1dpG2Nj40bbbaoxY8bA3t4e0dHRsLOzg0KhQK9evVBZWalU7+GTzGrG/WiZQqEAAOHf6OhoeHp6KrXz6Bgf9jjb1fUaqerRE+ZEIlGdZTX9YYyxtoSPADOm5VxdXXHnzh2lst9++63WfRcXl3rbMDU1hZ2dHdLT05XKMzIy0KNHDwAPjo5mZ2c3uOKEgYEBkpKSIJVK4efnh/LycgAPTgKrrq5GSUkJnJyclG62trYAAIlEgurq6kbH26NHjzrHV5/r168jNzcXS5YswbBhw9CjRw+UlpY2+jyNsbGxQYcOHVBQUFBrTDVHmCUSCQAojUuV7RhjjDWMjwAzpiWuX7+OiRMnYvr06ejduzdMTExw/PhxrF69GuPGjVOqu2PHDnh4eMDHxwdbt27F0aNHERMT02D77777LsLCwtC1a1f07dsXmzdvRnZ2NrZu3QoAeOWVVxAZGYnx48djxYoVkMlkyMrKgp2dndIUBCMjI/zwww8YPXo0Ro8ejeTkZHTv3h1TpkzBa6+9hk8++QT9+vXDtWvX8NNPP8HNzQ3+/v5wcHDA7du3ceDAAfTp0weGhoYwNDSs1c/g4GAEBgYqje/PP/+Eo6NjneNq3749LCwssHHjRshkMhQVFSEkJORxw1+n8PBwzJ07F6amphg9ejQqKipw/PhxlJaWYsGCBbC2toaBgQGSk5PRsWNHSKVSmJmZNbodY4yxhvERYMa0hLGxMTw9PbFu3To8++yz6NWrF5YuXYo33ngD//nPf5TqLl++HNu3b0fv3r0RFxeHrVu3wtXVtcH2586di4ULF2LhwoVwc3NDcnIy9uzZg27dugF4cDQzJSUF1tbW8Pf3h5ubG1auXFnnz/3GxsbYt28fiAj+/v64c+cONm/ejNdeew0LFy6Es7Mzxo4diyNHjsDe3h4AMGjQIMyaNQsvv/wyrKyssHr16jr7+fLLL2PZsmV477334O7ujvPnzyMoKKjeceno6GD79u3IzMxEr169MH/+fKxZs6bBWKhq5syZ+PrrrxEbGws3NzcMHjwYsbGxwpFcPT09rF+/Hl999RXs7OyELyqNbccYY6xhIiKi1u4EY0xziEQi7Nq1S2suBaztmvv1TktLw9ChQ1FaWtpsV+ZjjLHmxlMgGGNMy73yyiuwsLDAxYsXm9ROz549UVBQ0Ey9Yowx9eEEmDHGtNjp06cBNLzyhKr27t0LuVwOAMIKHowxpol4CgRjjDHGGNMqfBIcY4wxxhjTKpwAM8YYY4wxrcIJMGOMMcYY0yqcADPGGGOMMa3CCTBjjDHGGNMqnAAzxhhjjDGtwgkwY4wxxhjTKpwAM8YYY4wxrfL/TeGyILPMOr8AAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "fvals = opt_results.fval.values\n", "opt_x0 = np.argmin(fvals)\n", @@ -1471,7 +1692,7 @@ ], "metadata": { "kernelspec": { - "display_name": "wot_dev", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -1485,7 +1706,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.4" + "version": "3.10.13" }, "vscode": { "interpreter": { @@ -1494,5 +1715,5 @@ } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/tests/test_integration.py b/tests/test_integration.py index ea116fa40..5f4480dc4 100644 --- a/tests/test_integration.py +++ b/tests/test_integration.py @@ -151,26 +151,7 @@ def resonant_wave(f1, nfreq, fb, bem): return waves -def test_solve_callback(wec_from_bem, regular_wave, pto, nfreq, capfd): - """Check that user can set a custom callback""" - - cbstring = 'hello world!' - - def my_callback(my_wec, x_wec, x_opt, wave): - print(cbstring) - - _ = wec_from_bem.solve(regular_wave, - obj_fun=pto.average_power, - nstate_opt=2*nfreq, - scale_x_wec=1.0, - scale_x_opt=0.01, - scale_obj=1e-1, - callback=my_callback, - optim_options={'maxiter': 1}) - - out, err = capfd.readouterr() - - assert out.split('\n')[0] == cbstring +#removed call back test since ipopt doesn't have a callback function @pytest.mark.parametrize("bounds_opt", @@ -257,7 +238,7 @@ def test_p_controller_resonant_wave(self, scale_x_wec=1e2, scale_x_opt=1e-3, scale_obj=1e-1, - optim_options={'ftol': 1e-10}, + optim_options={'tol': 1e-10}, bounds_opt=((-1*np.infty, 0),), ) diff --git a/wecopttool/core.py b/wecopttool/core.py index 96cf32a48..0d64a64dc 100644 --- a/wecopttool/core.py +++ b/wecopttool/core.py @@ -70,7 +70,8 @@ import capytaine as cpy from scipy.optimize import minimize, OptimizeResult, Bounds from scipy.linalg import block_diag, dft - +import cyipopt +from cyipopt import minimize_ipopt # logger _log = logging.getLogger(__name__) @@ -785,20 +786,7 @@ def scaled_resid_fun(x): eq_cons['jac'] = jacobian(scaled_resid_fun) constraints.append(eq_cons) - # callback - if callback is None: - def callback_scipy(x): - x_wec, x_opt = self.decompose_state(x) - max_x_opt = np.nan if np.size(x_opt)==0 else np.max(np.abs(x_opt)) - _log.info("Scaled [max(x_wec), max(x_opt), obj_fun(x)]: " - + f"[{np.max(np.abs(x_wec)):.2e}, " - + f"{max_x_opt:.2e}, " - + f"{obj_fun_scaled(x):.2e}]") - else: - def callback_scipy(x): - x_s = x/scale - x_wec, x_opt = self.decompose_state(x_s) - return callback(self, x_wec, x_opt, wave) + # removed callback since it is not present in cyipopt # optimization problem optim_options['disp'] = optim_options.get('disp', True) @@ -808,13 +796,12 @@ def callback_scipy(x): 'constraints': constraints, 'options': optim_options, 'bounds': bounds, - 'callback': callback_scipy, } if use_grad: problem['jac'] = grad(obj_fun_scaled) # minimize - optim_res = minimize(**problem) + optim_res = minimize_ipopt(**problem) msg = f'{optim_res.message} (Exit mode {optim_res.status})' if optim_res.status == 0: From b8506d84ed41b9f02281deae3d0b72ce5b08a68e Mon Sep 17 00:00:00 2001 From: Daniel Gaebele <86246113+dtgaebe@users.noreply.github.com> Date: Thu, 2 May 2024 09:43:56 -0700 Subject: [PATCH 16/30] Utils dev - replaces old utilities PR (#343) * run CI on PRs against dev branch * coppied fundamental utility files * import utilities module * added utilities funtions to tut1 * added bem plot from utils * added bem plot from utils * updated sankey plot * updated check_radiation_damping * cleared outputs * corrected bug * changed Zi to hydro_impedance to be consistent with our variables name python convention * PR review edits * add grid to plots * removed draft functions in utilities.py * typo * Fixed one more typo I found while reviewing Daniel's changes --------- Co-authored-by: Ryan Coe Co-authored-by: Michael Devin --- examples/tutorial_1_WaveBot.ipynb | 83 +++++- examples/tutorial_2_AquaHarmonics.ipynb | 20 +- examples/tutorial_3_LUPA.ipynb | 63 +--- examples/tutorial_4_Pioneer.ipynb | 60 ++-- tests/test_utilities.py | 209 ++++++++++++++ wecopttool/__init__.py | 1 + wecopttool/core.py | 4 +- wecopttool/utilities.py | 369 ++++++++++++++++++++++++ 8 files changed, 689 insertions(+), 120 deletions(-) create mode 100644 tests/test_utilities.py create mode 100644 wecopttool/utilities.py diff --git a/examples/tutorial_1_WaveBot.ipynb b/examples/tutorial_1_WaveBot.ipynb index 25d7119c2..feefdcc56 100644 --- a/examples/tutorial_1_WaveBot.ipynb +++ b/examples/tutorial_1_WaveBot.ipynb @@ -267,6 +267,33 @@ "# wot.write_netcdf('bem_data.nc', bem_data) # saves BEM data to file" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Next, we use the utilities class `wecopttool.utilities`, which has functions that help you analyze and design WECs, but are not needed for the core function of WecOptTool.\n", + "For example, we calculate the WEC's intrinsic impedance with its hydrodynamic coefficients and inherent inertial properties. We make use of `wecopttool.add_linear_friction()` to convert the `bem_data` into a dataset which contains all zero friction data, because `wecopttool.check_radiation_damping()` and `wecopttool.hydrodynamic_impedance()` excpect a data variable called 'friction'.\n", + "\n", + "The intrinsic impedance tells us how a hydrodynamic body responds to different excitation frequencies. For oscillating systems we are intersted in both, the amplitude of the resulting velocity as well as the phase between velocity and excitation force. Bode plots are useful tool to visualize the frequency response function.\n", + "\n", + "The natural frequency reveals itself as a trough in the intrinsic impedance for restoring degrees of freedom (heave, roll, pitch)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "hd = wot.add_linear_friction(bem_data, friction = None) \n", + "#we're not actually adding friction, but need the datavariables in hd \n", + "hd = wot.check_radiation_damping(hd)\n", + "\n", + "intrinsic_impedance = wot.hydrodynamic_impedance(hd)\n", + "fig, axes = wot.utilities.plot_bode_impedance(intrinsic_impedance,\n", + " 'WaveBot Intrinsic Impedance')" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -546,6 +573,46 @@ "pto_tdom" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Lastly, we will visualize the average power at different stages and how the power flows through the system.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "p_flows = wot.utilities.calculate_power_flows(wec,\n", + " pto, \n", + " results[0], \n", + " waves.sel(realization=0), \n", + " intrinsic_impedance)\n", + "wot.utilities.plot_power_flow(p_flows)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "On the very left of the power flow Sankey diagram we start with the *Optimal Excitation*, which is only determined by the incident wave and the hydrodynamic damping and friction. \n", + "In order for the actual *Excited* power to equal the *Optimal Excitation* the absorbed *Mechanical* power would need to equal the *Radiated* power (power that is radiated away from the WEC). In this case the *Unused Potential* would be zero.\n", + "In other words, you can never convert more than 50% of the incident wave energy into kinetic energy. For more information on this we refer to Johannes Falnes Book - Ocean Waves and Oscillating System, specifically Chapter 6.\n", + "\n", + "However, the optimal 50% absorption is an overly optimistic goal considering that real world systems are likely constrained in their oscillation velocity amplitude and phase, due to limitations in stroke and applicable force.\n", + "\n", + "\n", + "The PTO force constraint used in this optimization also stopped us from absorbing the maximal potential wave energy. It is notable that we absorbed approximately 3/4 of the maximal absorbable power (*Mechanical* / (1/2 *Optimal Excitation*)), with relatively little *Radiated* power (about 1/2 of the absorbed power). To also absorb the last 1/4 of the potential wave power, we would need to increase the *Radiated* power three times!!\n", + "\n", + "\n", + "A more important question than \"How to achieve optimal absorption?\" is \"How do we optimize usable output power?\", i.e. *Electrical* power. For this optimization case we used a lossless PTO that has no impedance in itself. Therefore, the *Electrical* power equals the absorbed *Mechanical* power.\n", + "We'll show in the following sections that this a poor assumption and that the power flow looks fundamentally different when taking the PTO dynamics into account!!\n" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -752,7 +819,19 @@ "\n", "The PTO force trajectory for optimizing mechanical power is saturated at the maximum for longer compared to the electrical power.\n", "This could inform the WEC designer optimizing for mechanical power to consider larger components that would not be utilized at their limit as frequently.\n", - "However, the electrical power (_not_ the mechanical power) is the usable form of power, thus designing the WEC for optimal electrical power does not indicate a need for larger components and prevents this over-design." + "However, the electrical power (_not_ the mechanical power) is the usable form of power, thus designing the WEC for optimal electrical power does not indicate a need for larger components and prevents this over-design.\n", + "\n", + "The Sankey power flow diagram confirm this observation." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "p_flows_2 = wot.utilities.calculate_power_flows(wec_2, pto_2, results_2[0], waves.sel(realization = 0), intrinsic_impedance)\n", + "wot.utilities.plot_power_flow(p_flows_2)" ] }, { @@ -1003,7 +1082,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.6" + "version": "3.11.7" }, "vscode": { "interpreter": { diff --git a/examples/tutorial_2_AquaHarmonics.ipynb b/examples/tutorial_2_AquaHarmonics.ipynb index 1eedc1f44..a32f7e10e 100644 --- a/examples/tutorial_2_AquaHarmonics.ipynb +++ b/examples/tutorial_2_AquaHarmonics.ipynb @@ -170,23 +170,7 @@ "metadata": {}, "outputs": [], "source": [ - "fig, axes = plt.subplots(3,1)\n", - "bem_data['added_mass'].plot(ax = axes[0])\n", - "bem_data['radiation_damping'].plot(ax = axes[1])\n", - "axes[2].plot(bem_data['omega'],np.abs(np.squeeze(bem_data['diffraction_force'].values)), color = 'orange')\n", - "axes[2].set_ylabel('abs(diffraction_force)', color = 'orange')\n", - "axes[2].tick_params(axis ='y', labelcolor = 'orange')\n", - "ax2r = axes[2].twinx()\n", - "ax2r.plot(bem_data['omega'], np.abs(np.squeeze(bem_data['Froude_Krylov_force'].values)), color = 'blue')\n", - "ax2r.set_ylabel('abs(FK_force)', color = 'blue')\n", - "ax2r.tick_params(axis ='y', labelcolor = 'blue')\n", - "\n", - "for axi in axes:\n", - " axi.set_title('')\n", - " axi.label_outer()\n", - " axi.grid()\n", - " \n", - "axes[-1].set_xlabel('Frequency [rad/s]')" + "[(fig_am,ax_am), (fig_rd,ax_rd), (fig_ex,ax_ex)] = wot.utilities.plot_hydrodynamic_coefficients(bem_data)" ] }, { @@ -916,7 +900,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.6" + "version": "3.11.7" }, "vscode": { "interpreter": { diff --git a/examples/tutorial_3_LUPA.ipynb b/examples/tutorial_3_LUPA.ipynb index 1fc6c3cf0..ae1fd2ac4 100644 --- a/examples/tutorial_3_LUPA.ipynb +++ b/examples/tutorial_3_LUPA.ipynb @@ -472,65 +472,7 @@ "metadata": {}, "outputs": [], "source": [ - "# plot coefficients\n", - "radiating_dofs = bem_data.radiating_dof.values\n", - "influenced_dofs = bem_data.influenced_dof.values\n", - "\n", - "# plots\n", - "fig_am, ax_am = plt.subplots(len(radiating_dofs), len(influenced_dofs),\n", - " tight_layout=True, sharex=True)\n", - "fig_rd, ax_rd = plt.subplots(len(radiating_dofs), len(influenced_dofs),\n", - " tight_layout=True, sharex=True)\n", - "fig_ex, ax_ex = plt.subplots(len(influenced_dofs), 1,\n", - " tight_layout=True, sharex=True, figsize=(4, 6))\n", - "\n", - "# plot titles\n", - "fig_am.suptitle('Added Mass Coefficients', fontweight='bold')\n", - "fig_rd.suptitle('Radiation Damping Coefficients', fontweight='bold')\n", - "fig_ex.suptitle('Wave Excitation Coefficients', fontweight='bold')\n", - "\n", - "# subplotting across 4DOF\n", - "sp_idx = 0\n", - "for i, rdof in enumerate(radiating_dofs):\n", - " for j, idof in enumerate(influenced_dofs):\n", - " sp_idx += 1\n", - " if i == 0:\n", - " np.abs(bem_data.diffraction_force.sel(influenced_dof=idof)).plot(\n", - " ax=ax_ex[j], linestyle='dashed', label='Diffraction force')\n", - " np.abs(bem_data.Froude_Krylov_force.sel(influenced_dof=idof)).plot(\n", - " ax=ax_ex[j], linestyle='dashdot', label='Froude-Krylov force')\n", - " ex_handles, ex_labels = ax_ex[j].get_legend_handles_labels()\n", - " ax_ex[j].set_title(f'{idof}')\n", - " ax_ex[j].set_xlabel('')\n", - " ax_ex[j].set_ylabel('')\n", - " if j <= i:\n", - " bem_data.added_mass.sel(\n", - " radiating_dof=rdof, influenced_dof=idof).plot(ax=ax_am[i, j])\n", - " bem_data.radiation_damping.sel(\n", - " radiating_dof=rdof, influenced_dof=idof).plot(ax=ax_rd[i, j])\n", - " if i == len(radiating_dofs)-1:\n", - " ax_am[i, j].set_xlabel(f'$\\omega$', fontsize=10)\n", - " ax_rd[i, j].set_xlabel(f'$\\omega$', fontsize=10)\n", - " ax_ex[j].set_xlabel(f'$\\omega$', fontsize=10)\n", - " else:\n", - " ax_am[i, j].set_xlabel('')\n", - " ax_rd[i, j].set_xlabel('')\n", - " if j == 0:\n", - " ax_am[i, j].set_ylabel(f'{rdof}', fontsize=10)\n", - " ax_rd[i, j].set_ylabel(f'{rdof}', fontsize=10)\n", - " else:\n", - " ax_am[i, j].set_ylabel('')\n", - " ax_rd[i, j].set_ylabel('')\n", - " if j == i:\n", - " ax_am[i, j].set_title(f'{idof}', fontsize=10)\n", - " ax_rd[i, j].set_title(f'{idof}', fontsize=10)\n", - " else:\n", - " ax_am[i, j].set_title('')\n", - " ax_rd[i, j].set_title('')\n", - " else:\n", - " fig_am.delaxes(ax_am[i, j])\n", - " fig_rd.delaxes(ax_rd[i, j])\n", - "fig_ex.legend(ex_handles, ex_labels, loc=(0.08, 0), ncol=2, frameon=False)" + "wot.utilities.plot_hydrodynamic_coefficients(bem_data)" ] }, { @@ -1241,6 +1183,7 @@ "metadata": {}, "outputs": [], "source": [ + "influenced_dofs = bem_data.influenced_dof.values\n", "## Forces\n", "fig_res2, ax_res2 = plt.subplots(len(influenced_dofs), 1, sharex=True, figsize=(8, 10))\n", "for j, idof in enumerate(influenced_dofs):\n", @@ -1499,7 +1442,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.6" + "version": "3.11.7" }, "vscode": { "interpreter": { diff --git a/examples/tutorial_4_Pioneer.ipynb b/examples/tutorial_4_Pioneer.ipynb index 6a27f9315..5404931da 100644 --- a/examples/tutorial_4_Pioneer.ipynb +++ b/examples/tutorial_4_Pioneer.ipynb @@ -838,7 +838,14 @@ "P_opt_excitation = 2*P_max_absorbable # after Falnes Eq. 6.10\n", "P_radiated = ((1/2)*(Rad_res * np.abs(Vel)**2 ).squeeze().sum('omega').item()) # after Falnes Eq. 6.4\n", "P_excited= (1/4)*(Fex*np.conjugate(Vel) + np.conjugate(Fex)*Vel ).squeeze().sum('omega').item() # after Falnes Eq. 6.3\n", - "P_absorbed = P_excited - P_radiated # after Falnes Eq. 6.2 absorbed by WEC-PTO (difference between actual excitation power and actual radiated power needs to be absorbed by PTO)" + "\n", + "power_flows = {'Optimal Excitation' : -2* (np.real(P_max_absorbable)), \n", + " 'Radiated': -1*(np.real(P_radiated)), \n", + " 'Actual Excitation': -1*(np.real(P_excited)), \n", + "}\n", + "power_flows['Unused Potential'] = power_flows['Optimal Excitation'] - power_flows['Actual Excitation']\n", + "power_flows['Absorbed'] = power_flows['Actual Excitation'] - power_flows['Radiated'] # after Falnes Eq. 6.2 \n", + "#absorbed by WEC-PTO (difference between actual excitation power and actual radiated power needs to be absorbed by PTO)" ] }, { @@ -868,9 +875,18 @@ " return vel_td * force_td\n", "\n", "fw_fric_power = fw_friction_power(wec, x_wec, x_opt, waves_regular, nsubsteps)\n", - "avg_fw_fric_power = np.mean(fw_fric_power)\n", - "\n", - "assert(np.isclose(P_absorbed, -1*(avg_mech_power -avg_fw_fric_power), rtol=0.01)) # assert that solver solution matches" + "avg_fw_fric_power = np.mean(fw_fric_power)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "power_flows['Electrical (solver)']= avg_elec_power #solver determines sign\n", + "power_flows['Mechanical (solver)']= avg_mech_power - avg_fw_fric_power #solver determines sign, friction is dissipated\n", + "power_flows['PTO Loss'] = power_flows['Mechanical (solver)'] - power_flows['Electrical (solver)'] " ] }, { @@ -879,39 +895,7 @@ "metadata": {}, "outputs": [], "source": [ - "from matplotlib.sankey import Sankey\n", - "\n", - "P_PTO_loss = avg_mech_power - avg_elec_power \n", - "P_unused = P_opt_excitation - P_excited # Difference between the theoretical optimum excitation, if the WEC velocity would be in resonance with the excitation force\n", - "\n", - "Power_flows = [P_opt_excitation, P_PTO_loss, -1*avg_fw_fric_power, -1*P_radiated, -1*P_unused, avg_elec_power, ]\n", - "\n", - "fig = plt.figure(figsize = [8,4])\n", - "ax = fig.add_subplot(1, 1, 1,)\n", - "sankey = Sankey(ax=ax, \n", - " scale=0.5/P_max_absorbable,\n", - " offset= 0,\n", - " format = '%.2f W',shoulder = 0.02)\n", - "\n", - "sankey.add(flows=Power_flows, \n", - " labels = ['Optimal Excitation \\n $ 2 \\\\frac{\\left | F_e \\\\right |^2}{8Re(Z_i)} = 2*P_{mech}^{max}$ ', \n", - " 'PTO-Loss \\n $ P_{mech} - P_{elec}$', \n", - " 'Flywheel friction',\n", - " 'Radiated \\n $ \\\\frac{1}{2} Re(Z_i) \\left | U \\\\right |^2 $ ', \n", - " 'Unused Potential \\n(neither absorbed nor radiated)', \n", - " 'Electrical'], \n", - " orientations=[0, -1, -1,-1, -1, 0], # arrow directions\n", - " pathlengths = [0.4,0.4,0.8,1.1,0.7,0.5,],\n", - " trunklength = 1.5,\n", - " edgecolor = '#2b8cbe',\n", - " facecolor = '#2b8cbe' )\n", - "\n", - "diagrams = sankey.finish()\n", - "for diagram in diagrams:\n", - " for text in diagram.texts:\n", - " text.set_fontsize(10)\n", - "plt.axis(\"off\") \n", - "plt.show()" + "wot.utilities.plot_power_flow(power_flows)" ] }, { @@ -1178,7 +1162,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.6" + "version": "3.11.7" } }, "nbformat": 4, diff --git a/tests/test_utilities.py b/tests/test_utilities.py new file mode 100644 index 000000000..ee28e36fc --- /dev/null +++ b/tests/test_utilities.py @@ -0,0 +1,209 @@ +""" Unit tests for functions in the :python:`utilities.py` module. +""" + +import pytest +import numpy as np +import xarray as xr +from matplotlib.pyplot import Figure, Axes +import wecopttool as wot +from pytest import approx +import capytaine as cpy + + + +# test function in the utilities.py + + + +@pytest.fixture(scope="module") +def power_flows(): + """Dictionary of power flows.""" + pflows = {'Optimal Excitation': -100, + 'Radiated': -20, + 'Actual Excitation': -70, + 'Electrical (solver)': -40, + 'Mechanical (solver)': -50, + 'Absorbed': -50, + 'Unused Potential': -30, + 'PTO Loss': -10 + } + return pflows + +@pytest.fixture(scope="module") +def f1(): + """Fundamental frequency [Hz].""" + return 0.1 + + +@pytest.fixture(scope="module") +def nfreq(): + """Number of frequencies in frequency vector.""" + return 5 + +@pytest.fixture(scope="module") +def ndof(): + """Number of degrees of freedom.""" + return 2 + +@pytest.fixture(scope="module") +def ndir(): + """Number of wave directions.""" + return 3 + +@pytest.fixture(scope='module') +def bem_data(f1, nfreq, ndof, ndir): + """Synthetic BEM data.""" + # TODO - start using single BEM solution across entire test suite + coords = { + 'omega': [2*np.pi*(ifreq+1)*f1 for ifreq in range(nfreq)], + 'influenced_dof': [f'DOF_{idof+1}' for idof in range(ndof)], + 'radiating_dof': [f'DOF_{idof+1}' for idof in range(ndof)], + 'wave_direction': [2*np.pi/ndir*idir for idir in range(ndir)], + } + radiation_dims = ['omega', 'radiating_dof', 'influenced_dof'] + excitation_dims = ['omega', 'influenced_dof', 'wave_direction'] + hydrostatics_dims = ['radiating_dof', 'influenced_dof'] + + added_mass = np.ones([nfreq, ndof, ndof]) + radiation_damping = np.ones([nfreq, ndof, ndof]) + diffraction_force = np.ones([nfreq, ndof, ndir], dtype=complex) + 1j + Froude_Krylov_force = np.ones([nfreq, ndof, ndir], dtype=complex) + 1j + inertia_matrix = np.ones([ndof, ndof]) + hydrostatic_stiffness = np.ones([ndof, ndof]) + + data_vars = { + 'added_mass': (radiation_dims, added_mass), + 'radiation_damping': (radiation_dims, radiation_damping), + 'diffraction_force': (excitation_dims, diffraction_force), + 'Froude_Krylov_force': (excitation_dims, Froude_Krylov_force), + 'inertia_matrix': (hydrostatics_dims, inertia_matrix), + 'hydrostatic_stiffness': (hydrostatics_dims, hydrostatic_stiffness) + } + return xr.Dataset(data_vars=data_vars, coords=coords) + +@pytest.fixture(scope='module') +def intrinsic_impedance(bem_data): + bem_data = wot.add_linear_friction(bem_data) + intrinsic_impedance = wot.hydrodynamic_impedance(bem_data) + return intrinsic_impedance + +@pytest.fixture(scope='module') +def pi_controller_pto(): + """Basic PTO: proportional-integral (PI) controller, 1DOF, mechanical + power.""" + ndof = 1 + pto = wot.pto.PTO(ndof=ndof, kinematics=np.eye(ndof), + controller=wot.pto.controller_pi, + names=["PI controller PTO"]) + return pto + +@pytest.fixture(scope='module') +def regular_wave(f1, nfreq): + """Single frequency wave""" + wfreq = 0.3 + wamp = 0.0625 + wphase = 0 + wdir = 0 + waves = wot.waves.regular_wave(f1, nfreq, wfreq, wamp, wphase, wdir) + return waves + +@pytest.fixture(scope="module") +def fb(): + """Capytaine FloatingBody object""" + try: + import wecopttool.geom as geom + except ImportError: + pytest.skip( + 'Skipping integration tests due to missing optional geometry ' + + 'dependencies. Run `pip install wecopttool[geometry]` to run ' + + 'these tests.' + ) + mesh_size_factor = 0.5 + wb = geom.WaveBot() + mesh = wb.mesh(mesh_size_factor) + fb = cpy.FloatingBody.from_meshio(mesh, name="WaveBot") + fb.add_translation_dof(name="Heave") + return fb + + +@pytest.fixture(scope="module") +def wb_bem(f1, nfreq, fb): + """Boundary elemement model (Capytaine) results""" + freq = wot.frequency(f1, nfreq, False) + return wot.run_bem(fb, freq) + +@pytest.fixture(scope='class') +def wb_hydro_impedance(wb_bem): + """Intrinsic hydrodynamic impedance""" + hd = wot.add_linear_friction(wb_bem) + hd = wot.check_radiation_damping(hd) + Zi = wot.hydrodynamic_impedance(hd) + return Zi + + + + +def test_plot_hydrodynamic_coefficients(bem_data,ndof): + bem_figure_list = wot.utilities.plot_hydrodynamic_coefficients(bem_data) + correct_len = ndof*(ndof+1)/2 #using only the subdiagonal elements + #added mass + fig_am = bem_figure_list[0][0] + assert correct_len == len(fig_am.axes) + assert isinstance(fig_am,Figure) + #radiation damping + fig_rd = bem_figure_list[1][0] + assert correct_len == len(fig_rd.axes) + assert isinstance(fig_rd,Figure) + #radiation damping + fig_ex = bem_figure_list[2][0] + assert ndof == len(fig_ex.axes) + assert isinstance(fig_ex,Figure) + +def test_plot_bode_impedance(intrinsic_impedance, ndof): + fig_Zi, axes_Zi = wot.utilities.plot_bode_impedance(intrinsic_impedance) + + assert 2*ndof*ndof == len(fig_Zi.axes) + assert isinstance(fig_Zi,Figure) + assert all([isinstance(ax, Axes) for ax in np.reshape(axes_Zi,-1)]) + + +def test_plot_power_flow(power_flows): + fig_sankey, ax_sankey = wot.utilities.plot_power_flow(power_flows) + + assert isinstance(fig_sankey, Figure) + assert isinstance(ax_sankey, Axes) + +def test_calculate_power_flow(wb_bem, + regular_wave, + pi_controller_pto, + wb_hydro_impedance): + """PI controller matches optimal for any regular wave, + thus we check if the radiated power is equal the absorber power + and if the Optimal excitation is equal the actual excitation""" + + f_add = {"PTO": pi_controller_pto.force_on_wec} + wec = wot.WEC.from_bem(wb_bem, f_add=f_add) + + res = wec.solve(waves=regular_wave, + obj_fun=pi_controller_pto.average_power, + nstate_opt=2, + x_wec_0=1e-1*np.ones(wec.nstate_wec), + x_opt_0=[-1e3, 1e4], + scale_x_wec=1e2, + scale_x_opt=1e-3, + scale_obj=1e-2, + optim_options={'maxiter': 50}, + bounds_opt=((-1e4, 0), (0, 2e4),) + ) + + pflows = wot.utilities.calculate_power_flows(wec, + pi_controller_pto, + res[0], + regular_wave.sel(realization = 0), + wb_hydro_impedance) + + assert pflows['Absorbed'] == approx(pflows['Radiated'], rel=1e-4) + assert pflows['Optimal Excitation'] == approx(pflows['Actual Excitation'], rel=1e-4) + + + diff --git a/wecopttool/__init__.py b/wecopttool/__init__.py index 9b3d6b666..3cd720358 100644 --- a/wecopttool/__init__.py +++ b/wecopttool/__init__.py @@ -32,6 +32,7 @@ from wecopttool.core import * from wecopttool import waves from wecopttool import pto +from wecopttool import utilities try: from wecopttool import geom diff --git a/wecopttool/core.py b/wecopttool/core.py index 2db40b24a..5ddfb9ffa 100644 --- a/wecopttool/core.py +++ b/wecopttool/core.py @@ -2288,11 +2288,11 @@ def hydrodynamic_impedance(hydro_data: Dataset) -> Dataset: :py:func:`wecopttool.add_linear_friction`. """ - Zi = (hydro_data['inertia_matrix'] \ + hydro_impedance = (hydro_data['inertia_matrix'] \ + hydro_data['added_mass'])*1j*hydro_data['omega'] \ + hydro_data['radiation_damping'] + hydro_data['friction'] \ + hydro_data['hydrostatic_stiffness']/1j/hydro_data['omega'] - return Zi.transpose('omega', 'radiating_dof', 'influenced_dof') + return hydro_impedance.transpose('omega', 'radiating_dof', 'influenced_dof') def atleast_2d(array: ArrayLike) -> ndarray: diff --git a/wecopttool/utilities.py b/wecopttool/utilities.py new file mode 100644 index 000000000..ff013d5c5 --- /dev/null +++ b/wecopttool/utilities.py @@ -0,0 +1,369 @@ +"""Functions that are useful for WEC analysis and design. +""" + + +from __future__ import annotations + + +__all__ = [ + "plot_hydrodynamic_coefficients", + "plot_bode_impedance", + "calculate_power_flows", + "plot_power_flow", +] + + +from typing import Optional, Union +import logging +from pathlib import Path + +import autograd.numpy as np +from autograd.numpy import ndarray + +from xarray import DataArray +from numpy.typing import ArrayLike +# from autograd.numpy import ndarray +from xarray import DataArray, concat +import matplotlib.pyplot as plt +from matplotlib.figure import Figure +from matplotlib.axes import Axes + +from matplotlib.sankey import Sankey + + + +# logger +_log = logging.getLogger(__name__) + + + + +def plot_hydrodynamic_coefficients(bem_data, + wave_dir: Optional[float] = 0.0 + )-> list(tuple(Figure, Axes)): + """Plots hydrodynamic coefficients (added mass, radiation damping, + and wave excitation) based on BEM data. + + + Parameters + ---------- + bem_data + Linear hydrodynamic coefficients obtained using the boundary + element method (BEM) code Capytaine, with sign convention + corrected. + wave_dir + Wave direction(s) to plot the + + """ + + bem_data = bem_data.sel(wave_direction = wave_dir, method='nearest') + radiating_dofs = bem_data.radiating_dof.values + influenced_dofs = bem_data.influenced_dof.values + + # plots + fig_am, ax_am = plt.subplots( + len(radiating_dofs), + len(influenced_dofs), + tight_layout=True, + sharex=True, + figsize=(3*len(radiating_dofs),3*len(influenced_dofs)), + squeeze=False + ) + fig_rd, ax_rd = plt.subplots( + len(radiating_dofs), + len(influenced_dofs), + tight_layout=True, + sharex=True, + figsize=(3*len(radiating_dofs), 3*len(influenced_dofs)), + squeeze=False + ) + fig_ex, ax_ex = plt.subplots( + len(influenced_dofs), + 1, + tight_layout=True, + sharex=True, + figsize=(3, 3*len(radiating_dofs)), + squeeze=False + ) + [ax.grid(True) for axs in (ax_am, ax_rd, ax_ex) for ax in axs.flatten()] + # plot titles + fig_am.suptitle('Added Mass Coefficients', fontweight='bold') + fig_rd.suptitle('Radiation Damping Coefficients', fontweight='bold') + fig_ex.suptitle('Wave Excitation Coefficients', fontweight='bold') + + sp_idx = 0 + for i, rdof in enumerate(radiating_dofs): + for j, idof in enumerate(influenced_dofs): + sp_idx += 1 + if i == 0: + np.abs(bem_data.diffraction_force.sel(influenced_dof=idof)).plot( + ax=ax_ex[j,0], linestyle='dashed', label='Diffraction') + np.abs(bem_data.Froude_Krylov_force.sel(influenced_dof=idof)).plot( + ax=ax_ex[j,0], linestyle='dashdot', label='Froude-Krylov') + ex_handles, ex_labels = ax_ex[j,0].get_legend_handles_labels() + ax_ex[j,0].set_title(f'{idof}') + ax_ex[j,0].set_xlabel('') + ax_ex[j,0].set_ylabel('') + if j <= i: + bem_data.added_mass.sel( + radiating_dof=rdof, influenced_dof=idof).plot(ax=ax_am[i, j]) + bem_data.radiation_damping.sel( + radiating_dof=rdof, influenced_dof=idof).plot(ax=ax_rd[i, j]) + if i == len(radiating_dofs)-1: + ax_am[i, j].set_xlabel(f'$\omega$', fontsize=10) + ax_rd[i, j].set_xlabel(f'$\omega$', fontsize=10) + ax_ex[j, 0].set_xlabel(f'$\omega$', fontsize=10) + else: + ax_am[i, j].set_xlabel('') + ax_rd[i, j].set_xlabel('') + if j == 0: + ax_am[i, j].set_ylabel(f'{rdof}', fontsize=10) + ax_rd[i, j].set_ylabel(f'{rdof}', fontsize=10) + else: + ax_am[i, j].set_ylabel('') + ax_rd[i, j].set_ylabel('') + if j == i: + ax_am[i, j].set_title(f'{idof}', fontsize=10) + ax_rd[i, j].set_title(f'{idof}', fontsize=10) + else: + ax_am[i, j].set_title('') + ax_rd[i, j].set_title('') + else: + fig_am.delaxes(ax_am[i, j]) + fig_rd.delaxes(ax_rd[i, j]) + fig_ex.legend(ex_handles, ex_labels, loc=(0.08, 0), ncol=2, frameon=False) + return [(fig_am,ax_am), (fig_rd,ax_rd), (fig_ex,ax_ex)] + +def plot_bode_impedance(impedance: DataArray, + title: Optional[str]= '', + #plot_natural_freq: Optional[bool] = False, +)-> tuple(Figure, Axes): + """Plot Bode graph from wecoptool impedance data array. + + Parameters + ---------- + impedance: DataArray + Complex impedance matrix produced by for example by + :py:func:`wecopttool.hydrodynamic_impedance`. + Dimensions: omega, radiating_dofs, influenced_dofs + title: String + Title string to be displayed in the plot. + + """ + radiating_dofs = impedance.radiating_dof.values + influenced_dofs = impedance.influenced_dof.values + mag = 20.0 * np.log10(np.abs(impedance)) + phase = np.rad2deg(np.unwrap(np.angle(impedance))) + freq = impedance.omega.values/2/np.pi + fig, axes = plt.subplots( + 2*len(radiating_dofs), + len(influenced_dofs), + tight_layout=True, + sharex=True, + figsize=(3*len(radiating_dofs), 3*len(influenced_dofs)), + squeeze=False + ) + fig.suptitle(title + ' Bode Plots', fontweight='bold') + + sp_idx = 0 + for i, rdof in enumerate(radiating_dofs): + for j, idof in enumerate(influenced_dofs): + sp_idx += 1 + axes[2*i, j].semilogx(freq, mag[:, i, j]) # Bode magnitude plot + axes[2*i+1, j].semilogx(freq, phase[:, i, j]) # Bode phase plot + axes[2*i, j].grid(True, which = 'both') + axes[2*i+1, j].grid(True, which = 'both') + if i == len(radiating_dofs)-1: + axes[2*i+1, j].set_xlabel(f'Frequency (Hz)', fontsize=10) + else: + axes[i, j].set_xlabel('') + if j == 0: + axes[2*i, j].set_ylabel(f'{rdof} \n Mag. (dB)', fontsize=10) + axes[2*i+1, j].set_ylabel(f'Phase. (deg)', fontsize=10) + else: + axes[i, j].set_ylabel('') + if i == 0: + axes[i, j].set_title(f'{idof}', fontsize=10) + else: + axes[i, j].set_title('') + return fig, axes + + + + +def calculate_power_flows(wec, + pto, + results, + waves, + intrinsic_impedance)-> dict[str, float]: + """Calculate power flows into a :py:class:`wecopttool.WEC` + and through a :py:class:`wecopttool.pto.PTO` based on the results + of :py:meth:`wecopttool.WEC.solve` for a single wave realization. + + Parameters + ---------- + wec + WEC object of :py:class:`wecopttool.WEC` + pto + PTO object of :py:class:`wecopttool.pto.PTO` + results + Results produced by :py:func:`scipy.optimize.minimize` for a single wave + realization. + waves + :py:class:`xarray.Dataset` with the structure and elements + shown by :py:mod:`wecopttool.waves`. + intrinsic_impedance: DataArray + Complex intrinsic impedance matrix produced by + :py:func:`wecopttool.hydrodynamic_impedance`. + Dimensions: omega, radiating_dofs, influenced_dofs + + + """ + wec_fdom, _ = wec.post_process(results, waves) + x_wec, x_opt = wec.decompose_state(results.x) + + #power quntities from solver + P_mech = pto.mechanical_average_power(wec, x_wec, x_opt, waves) + P_elec = pto.average_power(wec, x_wec, x_opt, waves) + + #compute analytical power flows + Fex_FD = wec_fdom.force.sel(type=['Froude_Krylov', 'diffraction']).sum('type') + Rad_res = np.real(intrinsic_impedance.squeeze()) + Vel_FD = wec_fdom.vel + + P_max, P_e, P_r = [], [], [] + + #This solution requires radiation resistance matrix Rad_res to be invertible + # TODO In the future we might want to add an entirely unconstrained solve + # for optimized mechanical power + + for om in Rad_res.omega.values: + #use frequency vector from intrinsic impedance (no zero freq) + #Eq. 6.69 + #Dofs are row vector, which is transposed in standard convention + Fe_FD_t = np.atleast_2d(Fex_FD.sel(omega = om)) + Fe_FD = np.transpose(Fe_FD_t) + R_inv = np.linalg.inv(np.atleast_2d(Rad_res.sel(omega= om))) + P_max.append((1/8)*(Fe_FD_t@R_inv)@np.conj(Fe_FD)) + #Eq.6.57 + U_FD_t = np.atleast_2d(Vel_FD.sel(omega = om)) + U_FD = np.transpose(U_FD_t) + R = np.atleast_2d(Rad_res.sel(omega= om)) + P_r.append((1/2)*(U_FD_t@R)@np.conj(U_FD)) + #Eq. 6.56 (replaced pinv(Fe)*U with U'*conj(Fe) + # as suggested in subsequent paragraph) + P_e.append((1/4)*(Fe_FD_t@np.conj(U_FD) + U_FD_t@np.conj(Fe_FD))) + + power_flows = { + 'Optimal Excitation' : -2* np.sum(np.real(P_max)),#eq 6.68 + 'Radiated': -1*np.sum(np.real(P_r)), + 'Actual Excitation': -1*np.sum(np.real(P_e)), + 'Electrical (solver)': P_elec, + 'Mechanical (solver)': P_mech, + } + + power_flows['Absorbed'] = ( + power_flows['Actual Excitation'] + - power_flows['Radiated'] + ) + power_flows['Unused Potential'] = ( + power_flows['Optimal Excitation'] + - power_flows['Actual Excitation'] + ) + power_flows['PTO Loss'] = ( + power_flows['Mechanical (solver)'] + - power_flows['Electrical (solver)'] + ) + return power_flows + + +def plot_power_flow(power_flows: dict[str, float])-> tuple(Figure, Axes): + """Plot power flow through a WEC as Sankey diagram. + + Parameters + ---------- + power_flows: dictionary + Power flow dictionary produced by for example by + :py:func:`wecopttool.utilities.calculate_power_flows`. + Required keys: 'Optimal Excitation', 'Radiated', 'Actual Excitation' + 'Electrical (solver)', 'Mechanical (solver)', + 'Absorbed', 'Unused Potential', 'PTO Loss' + + + """ + # fig = plt.figure(figsize = [8,4]) + # ax = fig.add_subplot(1, 1, 1,) + fig, ax = plt.subplots(1, 1, + tight_layout=True, + figsize=(8, 4), + ) + + # plt.viridis() + sankey = Sankey(ax=ax, + scale= -1/power_flows['Optimal Excitation'], + offset= 0, + format = '%.1f', + shoulder = 0.02, + tolerance=-1e-03*power_flows['Optimal Excitation'], + unit = 'W' + ) + + sankey.add(flows=[-1*power_flows['Optimal Excitation'], + power_flows['Unused Potential'], + power_flows['Actual Excitation']], + labels = ['Optimal Excitation', + 'Unused Potential ', + 'Excited'], + orientations=[0, -1, -0],#arrow directions, + pathlengths = [0.2,0.3,0.2], + trunklength = 1.0, + edgecolor = 'None', + facecolor = (0.253935, 0.265254, 0.529983, 1.0) #viridis(0.2) + ) + + sankey.add(flows=[ + -1*(power_flows['Absorbed'] + power_flows['Radiated']), + power_flows['Radiated'], + power_flows['Absorbed'], + ], + labels = ['Excited', + 'Radiated', + ''], + prior= (0), + connect=(2,0), + orientations=[0, -1, -0],#arrow directions, + pathlengths = [0.2,0.3,0.2], + trunklength = 1.0, + edgecolor = 'None', + facecolor = (0.127568, 0.566949, 0.550556, 1.0) #viridis(0.5) + ) + + sankey.add(flows=[-1*(power_flows['Mechanical (solver)']), + power_flows['PTO Loss'], + power_flows['Electrical (solver)'], + ], + labels = ['Mechanical', + 'PTO-Loss' , + 'Electrical'], + prior= (1), + connect=(2,0), + orientations=[0, -1, -0],#arrow directions, + pathlengths = [.2,0.3,0.2], + trunklength = 1.0, + edgecolor = 'None', + facecolor = (0.741388, 0.873449, 0.149561, 1.0) #viridis(0.9) + ) + + + diagrams = sankey.finish() + for diagram in diagrams: + for text in diagram.texts: + text.set_fontsize(10) + #remove text label from last entries + for diagram in diagrams[0:2]: + diagram.texts[2].set_text('') + + plt.axis("off") + # plt.show() + + return fig, ax From 9f2e6bab15adcf1b033ad69ccef03dc23e28e6a7 Mon Sep 17 00:00:00 2001 From: Ryan Coe Date: Fri, 3 May 2024 09:45:12 -0600 Subject: [PATCH 17/30] Post process docstrings; use loops for multiple realizations (#337) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * post_processing docstrings - examples - parameters (order) * handle multiple phase realizations internally * Update wecopttool/core.py * making outputs lists * Update implementation to function with tutorial 1 for now * Update tutorials * Update LUPA * Make sure same WEC is passed in * Add test_utilities Revert "Add test_utilities" This reverts commit 27399f03320f2c69fcb641e1496521b40c4a9d0b. * Update utilities module * Update utilities * Update test_utilities * Update tutorial 1 utilities call --------- Co-authored-by: Carlos A. Michelén Ströfer Co-authored-by: Carlos A. Michelén Ströfer Co-authored-by: jtgrasb Co-authored-by: jtgrasb <87095491+jtgrasb@users.noreply.github.com> --- examples/tutorial_1_WaveBot.ipynb | 46 ++--- examples/tutorial_2_AquaHarmonics.ipynb | 28 +-- examples/tutorial_3_LUPA.ipynb | 50 ++--- examples/tutorial_4_Pioneer.ipynb | 47 +---- tests/test_integration.py | 96 ++++++---- tests/test_utilities.py | 4 +- wecopttool/core.py | 206 +++++++++++---------- wecopttool/pto.py | 231 ++++++++++++------------ wecopttool/utilities.py | 8 +- 9 files changed, 374 insertions(+), 342 deletions(-) diff --git a/examples/tutorial_1_WaveBot.ipynb b/examples/tutorial_1_WaveBot.ipynb index feefdcc56..c74b3b673 100644 --- a/examples/tutorial_1_WaveBot.ipynb +++ b/examples/tutorial_1_WaveBot.ipynb @@ -503,6 +503,7 @@ "source": [ "### Analyzing results\n", "We will use two post-processing functions to obtain frequency and time domain results for the WEC and PTO responses.\n", + "The `wec.post_process` and `pto.post_process` functions both post-process the results for each wave phase realization.\n", "The pseudo-spectral method gives continuous in time results.\n", "To get smoother looking plots, we specify five subpoints betweeen co-location points." ] @@ -514,15 +515,15 @@ "outputs": [], "source": [ "nsubsteps = 5\n", - "pto_fdom, pto_tdom = pto.post_process(wec, results[0], waves.sel(realization=0), nsubsteps=nsubsteps)\n", - "wec_fdom, wec_tdom = wec.post_process(results[0], waves.sel(realization=0), nsubsteps=nsubsteps)" + "pto_fdom, pto_tdom = pto.post_process(wec, results, waves, nsubsteps=nsubsteps)\n", + "wec_fdom, wec_tdom = wec.post_process(wec, results, waves, nsubsteps=nsubsteps)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "The `pto.post_process` function returns `xarray.Dataset` objects, which have built-in integration with PyPlot for smart plotting with automatic titles and formatting.\n", + "The `pto.post_process` function returns a list of `xarray.Dataset` objects, each element of which has built-in integration with PyPlot for smart plotting with automatic titles and formatting.\n", "We will plot the mechanical power (`mech_power`), position (`pos`), and the PTO force (`force`)." ] }, @@ -532,7 +533,8 @@ "metadata": {}, "outputs": [], "source": [ - "pto_tdom['power'].sel(type='mech').plot()" + "plt.figure()\n", + "pto_tdom[0]['power'].loc['mech',:,:].plot()" ] }, { @@ -550,10 +552,10 @@ "outputs": [], "source": [ "plt.figure()\n", - "wec_tdom['pos'].plot()\n", + "wec_tdom[0]['pos'].plot()\n", "\n", "plt.figure()\n", - "pto_tdom['force'].plot()" + "pto_tdom[0]['force'].plot()" ] }, { @@ -588,8 +590,8 @@ "source": [ "p_flows = wot.utilities.calculate_power_flows(wec,\n", " pto, \n", - " results[0], \n", - " waves.sel(realization=0), \n", + " results, \n", + " waves, \n", " intrinsic_impedance)\n", "wot.utilities.plot_power_flow(p_flows)" ] @@ -737,8 +739,8 @@ "print(f'Optimal average electrical power: {opt_average_power} W')\n", "\n", "# Post-process\n", - "wec_fdom_2, wec_tdom_2 = wec_2.post_process(results_2[0], waves.sel(realization=0), nsubsteps)\n", - "pto_fdom_2, pto_tdom_2 = pto_2.post_process(wec_2, results_2[0], waves.sel(realization=0), nsubsteps)" + "wec_fdom_2, wec_tdom_2 = wec_2.post_process(wec_2, results_2, waves, nsubsteps)\n", + "pto_fdom_2, pto_tdom_2 = pto_2.post_process(wec_2, results_2, waves, nsubsteps)" ] }, { @@ -772,9 +774,9 @@ "opt_average_power = results_2_nocon[0].fun\n", "print(f'Optimal average electrical power: {opt_average_power} W')\n", "wec_fdom_2_nocon, wec_tdom_2_nocon = wec_2_nocon.post_process(\n", - " results_2_nocon[0], waves.sel(realization=0), nsubsteps)\n", + " wec_2_nocon, results_2_nocon, waves, nsubsteps)\n", "pto_fdom_2_nocon, pto_tdom_2_nocon = pto_2.post_process(\n", - " wec_2_nocon, results_2_nocon[0], waves.sel(realization=0), nsubsteps)" + " wec_2_nocon, results_2_nocon, waves, nsubsteps)" ] }, { @@ -792,21 +794,21 @@ "outputs": [], "source": [ "plt.figure()\n", - "wec_tdom['pos'].plot(label='optimal mechanical')\n", - "wec_tdom_2['pos'].plot(label='optimal electrical, constrained')\n", - "wec_tdom_2_nocon['pos'].plot(label='optimal electrical, unconstrained')\n", + "wec_tdom[0]['pos'].plot(label='optimal mechanical')\n", + "wec_tdom_2[0]['pos'].plot(label='optimal electrical, constrained')\n", + "wec_tdom_2_nocon[0]['pos'].plot(label='optimal electrical, unconstrained')\n", "plt.legend(loc='lower right')\n", "\n", "plt.figure()\n", - "pto_tdom['force'].plot(label='optimal mechanical')\n", - "pto_tdom_2['force'].plot(label='optimal electrical, constrained')\n", - "pto_tdom_2_nocon['force'].plot(label='optimal electrical, unconstrained')\n", + "pto_tdom[0]['force'].plot(label='optimal mechanical')\n", + "pto_tdom_2[0]['force'].plot(label='optimal electrical, constrained')\n", + "pto_tdom_2_nocon[0]['force'].plot(label='optimal electrical, unconstrained')\n", "plt.legend(loc='lower right')\n", "\n", "plt.figure()\n", - "pto_tdom['power'].sel(type='mech').plot(label='optimal mechanical')\n", - "pto_tdom_2['power'].sel(type='elec').plot(label='optimal electrical, constrained')\n", - "pto_tdom_2_nocon['power'].sel(type='elec').plot(label='optimal electrical, unconstrained')\n", + "pto_tdom[0]['power'].sel(type='mech').plot(label='optimal mechanical')\n", + "pto_tdom_2[0]['power'].sel(type='elec').plot(label='optimal electrical, constrained')\n", + "pto_tdom_2_nocon[0]['power'].sel(type='elec').plot(label='optimal electrical, unconstrained')\n", "plt.legend(loc='lower right')\n" ] }, @@ -830,7 +832,7 @@ "metadata": {}, "outputs": [], "source": [ - "p_flows_2 = wot.utilities.calculate_power_flows(wec_2, pto_2, results_2[0], waves.sel(realization = 0), intrinsic_impedance)\n", + "p_flows_2 = wot.utilities.calculate_power_flows(wec_2, pto_2, results_2, waves, intrinsic_impedance)\n", "wot.utilities.plot_power_flow(p_flows_2)" ] }, diff --git a/examples/tutorial_2_AquaHarmonics.ipynb b/examples/tutorial_2_AquaHarmonics.ipynb index a32f7e10e..46e013f70 100644 --- a/examples/tutorial_2_AquaHarmonics.ipynb +++ b/examples/tutorial_2_AquaHarmonics.ipynb @@ -574,15 +574,15 @@ "metadata": {}, "outputs": [], "source": [ - "wec_fdom, wec_tdom = wec.post_process(results[0], waves.sel(realization=0), nsubsteps=nsubsteps)\n", - "pto_fdom, pto_tdom = pto.post_process(wec, results[0], waves.sel(realization=0), nsubsteps=nsubsteps)" + "wec_fdom, wec_tdom = wec.post_process(wec, results, waves, nsubsteps=nsubsteps)\n", + "pto_fdom, pto_tdom = pto.post_process(wec, results, waves, nsubsteps=nsubsteps)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We can inspect each of these `xarray Dataset` objects for more details.\n", + "We can inspect each list of `xarray Dataset` objects for more details.\n", "As an example the post-processed WEC time-domain results include the following:" ] }, @@ -618,10 +618,10 @@ "\n", "# Excitation and velocity\n", "ax1 = ax[0].twinx()\n", - "force_excitation = wec_tdom.force.sel(type=['Froude_Krylov', 'diffraction'])\n", + "force_excitation = wec_tdom[0].force.sel(type=['Froude_Krylov', 'diffraction'])\n", "force_excitation = force_excitation.sum('type')/1e3\n", "force_excitation.plot(ax=ax[0], color='k')\n", - "wec_tdom.vel.plot(ax=ax1, color='orange')\n", + "wec_tdom[0].vel.plot(ax=ax1, color='orange')\n", "ax1.set_ylabel('Velocity [m/s]', color='orange')\n", "ax1.tick_params(axis='y', labelcolor='orange')\n", "ax1.set_title('')\n", @@ -629,7 +629,7 @@ "ax[0].set_ylabel('Excitation force [kN]')\n", "\n", "# Forces\n", - "(wec_tdom.force.sel(type='PTO')/1e3).plot(\n", + "(wec_tdom[0].force.sel(type='PTO')/1e3).plot(\n", " ax=ax[1], \n", " label='PTO force in WEC frame',\n", ")\n", @@ -652,21 +652,21 @@ "ax[1].legend(loc=1)\n", "\n", "# Torque\n", - "pto_tdom.force.plot(\n", + "pto_tdom[0].force.plot(\n", " ax=ax[2], \n", " linestyle='solid',\n", " label='PTO torque in PTO frame',\n", ")\n", "ax[2].plot(\n", - " pto_tdom.time, \n", - " 1*torque_peak_max * np.ones(pto_tdom.time.shape),\n", + " pto_tdom[0].time, \n", + " 1*torque_peak_max * np.ones(pto_tdom[0].time.shape),\n", " color='black', \n", " linestyle='dotted',\n", " label=f'Peak torque limit ($\\pm${torque_peak_max}Nm)',\n", ")\n", "ax[2].plot(\n", - " pto_tdom.time, \n", - " -1*torque_peak_max * np.ones(pto_tdom.time.shape), \n", + " pto_tdom[0].time, \n", + " -1*torque_peak_max * np.ones(pto_tdom[0].time.shape), \n", " color='black', \n", " linestyle='dotted',\n", ")\n", @@ -674,8 +674,8 @@ "ax[2].legend(loc='upper right',)\n", "\n", "# Power\n", - "(pto_tdom['power'].sel(type='mech')/1e3).plot(ax=ax[3], label='Mech. power')\n", - "(pto_tdom['power'].sel(type='elec')/1e3).plot(ax=ax[3], linestyle='dashed', \n", + "(pto_tdom[0]['power'].sel(type='mech')/1e3).plot(ax=ax[3], label='Mech. power')\n", + "(pto_tdom[0]['power'].sel(type='elec')/1e3).plot(ax=ax[3], linestyle='dashed', \n", " label=\"Elec. power\")\n", "ax[3].grid(color='0.75', linestyle='-', linewidth=0.5, axis='x')\n", "ax[3].legend(loc='upper right')\n", @@ -705,7 +705,7 @@ "outputs": [], "source": [ "fig, ax = plt.subplots(1, 1, figsize=(8,6))\n", - "ax.plot(pto_tdom.vel, pto_tdom.force, color=cc[1], label='Optimal control trajectory')\n", + "ax.plot(pto_tdom[0].vel, pto_tdom[0].force, color=cc[1], label='Optimal control trajectory')\n", "contour = ax.contourf(X, Y, Z, levels=20, cmap=cm.viridis)\n", "plt.colorbar(contour, label=\"Power loss [kW]\")\n", "ax.grid(which='major', linestyle='--')\n", diff --git a/examples/tutorial_3_LUPA.ipynb b/examples/tutorial_3_LUPA.ipynb index ae1fd2ac4..17950b5d4 100644 --- a/examples/tutorial_3_LUPA.ipynb +++ b/examples/tutorial_3_LUPA.ipynb @@ -1045,8 +1045,8 @@ "source": [ "# Post-process\n", "nsubsteps = 5\n", - "wec_fdom, wec_tdom = wec.post_process(results[0], waves['south_max_occurrence'].sel(realization=0), nsubsteps)\n", - "pto_fdom, pto_tdom = pto.post_process(wec, results[0], waves['south_max_occurrence'].sel(realization=0), nsubsteps)" + "wec_fdom, wec_tdom = wec.post_process(wec, results, waves['south_max_occurrence'], nsubsteps)\n", + "pto_fdom, pto_tdom = pto.post_process(wec, results, waves['south_max_occurrence'], nsubsteps)" ] }, { @@ -1054,7 +1054,7 @@ "metadata": {}, "source": [ "### Results\n", - "Looking at the response of the optimal solution, we can see the behavior of the WEC and its relationship to our problem constraints:\n", + "The `post_process` functions return lists of post-processed results. Here, we extract the first element of each list to analyze the results for the first wave phase realization. Looking at the response of the optimal solution, we can see the behavior of the WEC and its relationship to our problem constraints:\n", "\n", "* __PTO position__ - The PTO position corresponds to the difference in the vertical position between the two bodies.\n", "The PTO position is clearly nowhere near the 0.5 m maximum stroke, so the constraint is not plotted here.\n", @@ -1077,11 +1077,11 @@ "fig_res1, ax_res1 = plt.subplots(nrows=4, sharex=True, figsize=(8, 10))\n", "\n", "## PTO position\n", - "wec_tdom.pos.sel(influenced_dof='spar__Heave').plot(\n", + "wec_tdom[0].pos.sel(influenced_dof='spar__Heave').plot(\n", " ax=ax_res1[0], linestyle='dashed', color='C7', label='Spar')\n", - "wec_tdom.pos.sel(influenced_dof='float__Heave').plot(\n", + "wec_tdom[0].pos.sel(influenced_dof='float__Heave').plot(\n", " ax=ax_res1[0], linestyle='dotted', color='C6', label='Float')\n", - "pto_tdom.pos.plot(ax=ax_res1[0], label='PTO', color='black')\n", + "pto_tdom[0].pos.plot(ax=ax_res1[0], label='PTO', color='black')\n", "\n", "ax_res1[0].set_ylabel('Position [m]')\n", "ax_res1[0].set_title('PTO position vs. WEC body position', fontweight='bold')\n", @@ -1094,23 +1094,23 @@ "twinax = ax_res1[1].twinx()\n", "\n", "# Spar excitation\n", - "force_excitation_spar = wec_tdom.force.sel(\n", + "force_excitation_spar = wec_tdom[0].force.sel(\n", " influenced_dof='spar__Heave', type=['Froude_Krylov', 'diffraction'])\n", "force_excitation_spar = force_excitation_spar.sum('type')\n", "plt1 = force_excitation_spar.plot(\n", " ax=ax_res1[1], linestyle='dashed', color='C0', label='Spar exc.')\n", "\n", "# Float excitation\n", - "force_excitation_float = wec_tdom.force.sel(\n", + "force_excitation_float = wec_tdom[0].force.sel(\n", " influenced_dof='float__Heave', type=['Froude_Krylov', 'diffraction'])\n", "force_excitation_float = force_excitation_float.sum('type')\n", "plt2 = force_excitation_float.plot(\n", " ax=ax_res1[1], linestyle='dotted', color='C0', label='Float exc.')\n", "\n", "# Spar/float velocity\n", - "plt3 = wec_tdom.vel.sel(influenced_dof='spar__Heave').plot(\n", + "plt3 = wec_tdom[0].vel.sel(influenced_dof='spar__Heave').plot(\n", " ax=twinax, color='C1', linestyle='dashed', label='Spar velocity')\n", - "plt4 = wec_tdom.vel.sel(influenced_dof='float__Heave').plot(\n", + "plt4 = wec_tdom[0].vel.sel(influenced_dof='float__Heave').plot(\n", " ax=twinax, color='C1', linestyle='dotted', label='Float velocity')\n", "\n", "twinax.set_ylabel('Velocity [m/s]', color='C1')\n", @@ -1128,26 +1128,26 @@ "twinax.set_ylim(bottom=twinax.get_ylim()[0]*1.25)\n", "\n", "## Torque\n", - "pto_tdom.force.plot(\n", + "pto_tdom[0].force.plot(\n", " ax=ax_res1[2], linestyle='solid', color='black', label='PTO trq.')\n", - "pto_rms_tq = np.sqrt(np.mean(pto_tdom.force.values**2)\n", - " / pto_tdom.time.values[-1])\n", + "pto_rms_tq = np.sqrt(np.mean(pto_tdom[0].force.values**2)\n", + " / pto_tdom[0].time.values[-1])\n", "ax_res1[2].plot(\n", - " pto_tdom.time, pto_rms_tq * np.ones(pto_tdom.time.shape),\n", + " pto_tdom[0].time, pto_rms_tq * np.ones(pto_tdom[0].time.shape),\n", " color='C9', linestyle='solid', label='PTO RMS trq.')\n", "max_tq = generator['max_torque']\n", "rms_tq = generator['continuous_torque']\n", "ax_res1[2].plot(\n", - " pto_tdom.time, 1*max_tq * np.ones(pto_tdom.time.shape),\n", + " pto_tdom[0].time, 1*max_tq * np.ones(pto_tdom[0].time.shape),\n", " color='C5', linestyle='dotted', label=f'Peak trq. limit')\n", "ax_res1[2].plot(\n", - " pto_tdom.time, -1*max_tq * np.ones(pto_tdom.time.shape),\n", + " pto_tdom[0].time, -1*max_tq * np.ones(pto_tdom[0].time.shape),\n", " color='C5', linestyle='dotted')\n", "ax_res1[2].plot(\n", - " pto_tdom.time, 1*rms_tq * np.ones(pto_tdom.time.shape),\n", + " pto_tdom[0].time, 1*rms_tq * np.ones(pto_tdom[0].time.shape),\n", " color='C9', linestyle='dotted', label=f'RMS trq. limit')\n", "ax_res1[2].plot(\n", - " pto_tdom.time, -1*rms_tq * np.ones(pto_tdom.time.shape),\n", + " pto_tdom[0].time, -1*rms_tq * np.ones(pto_tdom[0].time.shape),\n", " color='C9', linestyle='dotted')\n", "ax_res1[2].set_ylabel('Torque [Nm] ')\n", "ax_res1[2].legend(ncols=4, loc='lower center', frameon=False)\n", @@ -1157,9 +1157,9 @@ "ax_res1[2].set_ylim(bottom=ax_res1[2].get_ylim()[0]*1.5)\n", "\n", "## Power\n", - "(pto_tdom['power'].loc['mech',:,:]).plot(\n", + "(pto_tdom[0]['power'].loc['mech',:,:]).plot(\n", " ax=ax_res1[3], color='C8', label='Mech. power')\n", - "(pto_tdom['power'].loc['elec',:,:]).plot(\n", + "(pto_tdom[0]['power'].loc['elec',:,:]).plot(\n", " ax=ax_res1[3], color='C5', linestyle='dashed', label=\"Elec. power\")\n", "ax_res1[3].legend(ncols=2, loc='lower center', frameon=False)\n", "ax_res1[3].set_title('Power generation', fontweight='bold')\n", @@ -1187,18 +1187,18 @@ "## Forces\n", "fig_res2, ax_res2 = plt.subplots(len(influenced_dofs), 1, sharex=True, figsize=(8, 10))\n", "for j, idof in enumerate(influenced_dofs):\n", - " force_excitation = wec_tdom.force.sel(\n", + " force_excitation = wec_tdom[0].force.sel(\n", " type=['Froude_Krylov', 'diffraction'])\n", " force_excitation = force_excitation.sum('type')\n", " force_excitation.sel(influenced_dof=idof).plot(\n", " ax=ax_res2[j], label='Excitation')\n", - " wec_tdom.force.sel(influenced_dof=idof, type='radiation').plot(\n", + " wec_tdom[0].force.sel(influenced_dof=idof, type='radiation').plot(\n", " ax=ax_res2[j], label='Radiation')\n", - " wec_tdom.force.sel(influenced_dof=idof, type='hydrostatics').plot(\n", + " wec_tdom[0].force.sel(influenced_dof=idof, type='hydrostatics').plot(\n", " ax=ax_res2[j], label='Hydrostatics')\n", - " wec_tdom.force.sel(influenced_dof=idof, type='Mooring').plot(\n", + " wec_tdom[0].force.sel(influenced_dof=idof, type='Mooring').plot(\n", " ax=ax_res2[j], label='Mooring')\n", - " wec_tdom.force.sel(influenced_dof=idof, type='PTO').plot(\n", + " wec_tdom[0].force.sel(influenced_dof=idof, type='PTO').plot(\n", " ax=ax_res2[j], label='PTO')\n", " ax_res2[j].set_title(f'{idof}')\n", " if j != len(influenced_dofs)-1:\n", diff --git a/examples/tutorial_4_Pioneer.ipynb b/examples/tutorial_4_Pioneer.ipynb index 5404931da..d594591e0 100644 --- a/examples/tutorial_4_Pioneer.ipynb +++ b/examples/tutorial_4_Pioneer.ipynb @@ -1,7 +1,6 @@ { "cells": [ { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -47,7 +46,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -100,7 +98,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -122,7 +119,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -153,7 +149,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -201,7 +196,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -227,7 +221,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -268,7 +261,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -310,7 +302,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -324,7 +315,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -354,7 +344,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -390,7 +379,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -411,7 +399,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -437,7 +424,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -481,7 +467,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -527,7 +512,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -551,7 +535,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -588,7 +571,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -626,7 +608,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -653,7 +634,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -675,7 +655,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -704,7 +683,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -721,7 +699,7 @@ "outputs": [], "source": [ "nsubsteps = 5\n", - "wec_fdom, wec_tdom = wec.post_process(results[0], waves_regular.sel(realization=0), nsubsteps=nsubsteps)\n", + "wec_fdom, wec_tdom = wec.post_process(wec, results, waves_regular, nsubsteps=nsubsteps)\n", "\n", "# Manually post-process PTO and flywheel outputs\n", "x_wec, x_opt = wot.decompose_state(results[0].x, 1, nfreq)\n", @@ -737,7 +715,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -758,7 +735,7 @@ "outputs": [], "source": [ "fig, ax = plt.subplots(nrows=4, sharex=True, figsize=(12, 12))\n", - "t = wec_tdom.time.values\n", + "t = wec_tdom[0].time.values\n", "\n", "# Positions\n", "ax[0].plot(t, fw_pos*180/np.pi, label='Flywheel', c='k')\n", @@ -769,7 +746,7 @@ "\n", "ax0 = ax[0].twinx()\n", "ax0.tick_params(axis='y', labelcolor='b')\n", - "(wec_tdom.pos*180/np.pi).plot(hue='influenced_dof', label='Buoy', ax=ax0, c='b')\n", + "(wec_tdom[0].pos*180/np.pi).plot(hue='influenced_dof', label='Buoy', ax=ax0, c='b')\n", "ax0.set_ylabel('Buoy pos. [deg]', color='b')\n", "ax0.set_title('')\n", "\n", @@ -782,7 +759,7 @@ "\n", "ax1 = ax[1].twinx()\n", "ax1.tick_params(axis='y', labelcolor='b')\n", - "wec_tdom['force'].sel(type=['Froude_Krylov', 'diffraction']).sum('type').plot(ax=ax1, c='b')\n", + "wec_tdom[0]['force'].sel(type=['Froude_Krylov', 'diffraction']).sum('type').plot(ax=ax1, c='b')\n", "ax1.set_ylabel('Excitation torque [N-m]', color='b')\n", "ax1.set_title('Torque')\n", "\n", @@ -806,7 +783,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -831,8 +807,8 @@ "Zi = wot.hydrodynamic_impedance(hydro_data)\n", "Rad_res = np.real(Zi.squeeze())\n", "\n", - "Fex = wec_fdom.force.sel(type=['Froude_Krylov', 'diffraction']).sum('type')\n", - "Vel = wec_fdom.vel\n", + "Fex = wec_fdom[0].force.sel(type=['Froude_Krylov', 'diffraction']).sum('type')\n", + "Vel = wec_fdom[0].vel\n", "\n", "P_max_absorbable = (np.abs(Fex)**2/(8*Rad_res) ).squeeze().sum('omega').item() # after Falnes Eq. 6.10\n", "P_opt_excitation = 2*P_max_absorbable # after Falnes Eq. 6.10\n", @@ -849,7 +825,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -899,7 +874,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -936,7 +910,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -950,7 +923,7 @@ "outputs": [], "source": [ "nsubsteps = 5\n", - "wec_fdom, wec_tdom = wec.post_process(results[0], waves_irregular.sel(realization=0), nsubsteps=nsubsteps)\n", + "wec_fdom, wec_tdom = wec.post_process(wec,results, waves_irregular, nsubsteps=nsubsteps)\n", "\n", "# Manually post-process PTO and flywheel outputs\n", "x_wec, x_opt = wot.decompose_state(results[0].x, 1, nfreq)\n", @@ -972,7 +945,7 @@ "outputs": [], "source": [ "fig, ax = plt.subplots(nrows=4, sharex=True, figsize=(12, 12))\n", - "t = wec_tdom.time.values\n", + "t = wec_tdom[0].time.values\n", "\n", "# Positions\n", "ax[0].plot(t, fw_pos*180/np.pi, label='Flywheel', c='k')\n", @@ -983,7 +956,7 @@ "\n", "ax0 = ax[0].twinx()\n", "ax0.tick_params(axis='y', labelcolor='b')\n", - "(wec_tdom.pos*180/np.pi).plot(hue='influenced_dof', label='Buoy', ax=ax0, c='b')\n", + "(wec_tdom[0].pos*180/np.pi).plot(hue='influenced_dof', label='Buoy', ax=ax0, c='b')\n", "ax0.set_ylabel('Buoy pos. [deg]', color='b')\n", "ax0.set_title('')\n", "\n", @@ -996,7 +969,7 @@ "\n", "ax1 = ax[1].twinx()\n", "ax1.tick_params(axis='y', labelcolor='b')\n", - "wec_tdom['force'].sel(type=['Froude_Krylov', 'diffraction']).sum('type').plot(ax=ax1, c='b')\n", + "wec_tdom[0]['force'].sel(type=['Froude_Krylov', 'diffraction']).sum('type').plot(ax=ax1, c='b')\n", "ax1.set_ylabel('Excitation torque [N-m]', color='b')\n", "ax1.set_title('Torque')\n", "\n", diff --git a/tests/test_integration.py b/tests/test_integration.py index 6b2410451..8000d8b45 100644 --- a/tests/test_integration.py +++ b/tests/test_integration.py @@ -105,7 +105,7 @@ def long_crested_wave(f1, nfreq): efth = wot.waves.omnidirectional_spectrum(f1=f1, nfreq=nfreq, spectrum_func=spec_fun, ) - waves = wot.waves.long_crested_wave(efth, nrealizations=1) + waves = wot.waves.long_crested_wave(efth, nrealizations=2) return waves @@ -245,6 +245,41 @@ def hydro_impedance(self, hydro_data): """Intrinsic hydrodynamic impedance""" Zi = wot.hydrodynamic_impedance(hydro_data) return Zi + + @pytest.fixture(scope='class') + def unstruct_wec(self, + hydro_data, + pto): + """WaveBot WEC object with unstructured controller""" + + f_add = {"PTO": pto.force_on_wec} + wec = wot.WEC.from_bem(hydro_data, f_add=f_add) + + return wec + + @pytest.fixture(scope='class') + def long_crested_wave_unstruct_res(self, + unstruct_wec, + long_crested_wave, + pto, + hydro_data, + nfreq): + """Solution for an unstructured controller with multiple long crested + waves""" + + f_add = {"PTO": pto.force_on_wec} + wec = wot.WEC.from_bem(hydro_data, f_add=f_add) + + res = unstruct_wec.solve(waves=long_crested_wave, + obj_fun=pto.average_power, + nstate_opt=2*nfreq, + x_wec_0=1e-3*np.ones(wec.nstate_wec), + scale_x_wec=1e1, + scale_x_opt=1e-3, + scale_obj=5e-2, + ) + + return res def test_p_controller_resonant_wave(self, hydro_data, @@ -271,8 +306,8 @@ def test_p_controller_resonant_wave(self, power_sol = -1*res[0]['fun'] - res_fd, _ = wec.post_process(res[0], resonant_wave.sel(realization=0), nsubsteps=1) - Fex = res_fd.force.sel( + res_fd, _ = wec.post_process(wec, res, resonant_wave, nsubsteps=1) + Fex = res_fd[0].force.sel( type=['Froude_Krylov', 'diffraction']).sum('type') power_optimal = (np.abs(Fex)**2/8 / np.real(hydro_impedance.squeeze()) ).squeeze().sum('omega').item() @@ -303,8 +338,8 @@ def test_pi_controller_regular_wave(self, power_sol = -1*res[0]['fun'] - res_fd, _ = wec.post_process(res[0], regular_wave.sel(realization=0), nsubsteps=1) - Fex = res_fd.force.sel( + res_fd, _ = wec.post_process(wec, res, regular_wave, nsubsteps=1) + Fex = res_fd[0].force.sel( type=['Froude_Krylov', 'diffraction']).sum('type') power_optimal = (np.abs(Fex)**2/8 / np.real(hydro_impedance.squeeze()) ).squeeze().sum('omega').item() @@ -312,38 +347,35 @@ def test_pi_controller_regular_wave(self, assert power_sol == approx(power_optimal, rel=1e-4) def test_unstructured_controller_long_crested_wave(self, - hydro_data, + unstruct_wec, long_crested_wave, - pto, - nfreq, - hydro_impedance): + hydro_impedance, + long_crested_wave_unstruct_res, + pto): """Unstructured (numerical optimal) controller matches optimal for any irregular (long crested) wave when unconstrained""" - f_add = {"PTO": pto.force_on_wec} - wec = wot.WEC.from_bem(hydro_data, f_add=f_add) - - res = wec.solve(waves=long_crested_wave, - obj_fun=pto.average_power, - nstate_opt=2*nfreq, - x_wec_0=1e-3*np.ones(wec.nstate_wec), - scale_x_wec=1e1, - scale_x_opt=1e-3, - scale_obj=5e-2, - ) - - power_sol = -1*res[0]['fun'] + power_sol = -1*long_crested_wave_unstruct_res[0]['fun'] - res_fd, _ = wec.post_process(res[0], - long_crested_wave.sel(realization=0), + res_fd, _ = unstruct_wec.post_process(unstruct_wec, long_crested_wave_unstruct_res, + long_crested_wave, nsubsteps=1) - Fex = res_fd.force.sel( + Fex = res_fd[0].force.sel( type=['Froude_Krylov', 'diffraction']).sum('type') power_optimal = (np.abs(Fex)**2/8 / np.real(hydro_impedance.squeeze()) - ).squeeze().sum('omega').item() + ).squeeze().sum('omega').item() assert power_sol == approx(power_optimal, rel=1e-2) + def test_unconstrained_solutions_multiple_phase_realizations(self, + long_crested_wave_unstruct_res): + """Solutions for average power with an unstructured controller + (no constraints) match for different phase realizations""" + + pow = [res['fun'] for res in long_crested_wave_unstruct_res] + + assert pow[0] == approx(pow[1], rel=1e-6) + def test_saturated_pi_controller(self, hydro_data, regular_wave, @@ -415,13 +447,13 @@ def saturated_pi(pto, wec, x_wec, x_opt, waves=None, nsubsteps=1): nsubstep_postprocess = 4 pto_fdom[key], pto_tdom[key] = pto[key].post_process(wec[key], - res[key][0], - regular_wave.sel(realization=0), + res[key], + regular_wave, nsubstep_postprocess) - xr.testing.assert_allclose(pto_tdom['pi'].power.squeeze().mean('time'), - pto_tdom['us'].power.squeeze().mean('time'), + xr.testing.assert_allclose(pto_tdom['pi'][0].power.squeeze().mean('time'), + pto_tdom['us'][0].power.squeeze().mean('time'), rtol=1e-1) - xr.testing.assert_allclose(pto_tdom['us'].force.max(), - pto_tdom['pi'].force.max()) + xr.testing.assert_allclose(pto_tdom['us'][0].force.max(), + pto_tdom['pi'][0].force.max()) diff --git a/tests/test_utilities.py b/tests/test_utilities.py index ee28e36fc..f2a9f6be4 100644 --- a/tests/test_utilities.py +++ b/tests/test_utilities.py @@ -198,8 +198,8 @@ def test_calculate_power_flow(wb_bem, pflows = wot.utilities.calculate_power_flows(wec, pi_controller_pto, - res[0], - regular_wave.sel(realization = 0), + res, + regular_wave, wb_hydro_impedance) assert pflows['Absorbed'] == approx(pflows['Radiated'], rel=1e-4) diff --git a/wecopttool/core.py b/wecopttool/core.py index 5ddfb9ffa..a365bcb0e 100644 --- a/wecopttool/core.py +++ b/wecopttool/core.py @@ -694,12 +694,14 @@ def solve(self, may call >>> realization = 0 # realization index - >>> res_wec_fd, res_wec_td = wec.post_process(wec,res_opt[realization]) - >>> res_pto_fd, res_pto_td = pto.post_process(wec,res_opt[realization]) + >>> res_wec_fd, res_wec_td = wec.post_process(wec,res_opt,wave,nsubsteps) + >>> res_pto_fd, res_pto_td = pto.post_process(wec,res_opt,wave,nsubsteps) See Also -------- wecopttool.waves, + wecopttool.core.wec.post_process, + wecopttool.core.pto.post_process, """ results = [] @@ -840,20 +842,22 @@ def callback_scipy(x): return results def post_process(self, - res: OptimizeResult, + wec: TWEC, + res: Union[OptimizeResult, Iterable], waves: Dataset, nsubsteps: Optional[int] = 1, - ) -> tuple[Dataset, Dataset]: - """Post-process the results from - :py:meth:`wecopttool.WEC.solve`. + ) -> tuple[list[Dataset], list[Dataset]]: + """Post-process the results from :py:meth:`wecopttool.WEC.solve`. Parameters ---------- + wec + :py:class:`wecopttool.WEC` object. + res + Results produced by :py:meth:`wecopttool.WEC.solve`. waves :py:class:`xarray.Dataset` with the structure and elements shown by :py:mod:`wecopttool.waves`. - res - Results produced by :py:func:`scipy.optimize.minimize`. nsubsteps Number of steps between the default (implied) time steps. A value of :python:`1` corresponds to the default step @@ -875,95 +879,107 @@ def post_process(self, obj_fun=pto.average_power, nstate_opt=2*nfreq+1) - To get the post-processed results for the - :py:class:`wecopttool.pto.PTO`, you may call + To get the post-processed results we may call - >>> res_wec_fd, res_wec_td = wec.post_process(wec,res_opt) - >>> res_pto_fd, res_pto_td = pto.post_process(wec,res_opt) - """ - create_time = f"{datetime.utcnow()}" - - omega_vals = np.concatenate([[0], waves.omega.values]) - freq_vals = np.concatenate([[0], waves.freq.values]) - period_vals = np.concatenate([[np.inf], 1/waves.freq.values]) - pos_attr = {'long_name': 'Position', 'units': 'm or rad'} - vel_attr = {'long_name': 'Velocity', 'units': 'm/s or rad/s'} - acc_attr = {'long_name': 'Acceleration', 'units': 'm/s^2 or rad/s^2'} - omega_attr = {'long_name': 'Radial frequency', 'units': 'rad/s'} - freq_attr = {'long_name': 'Frequency', 'units': 'Hz'} - period_attr = {'long_name': 'Period', 'units': 's'} - time_attr = {'long_name': 'Time', 'units': 's'} - dof_attr = {'long_name': 'Degree of freedom'} - force_attr = {'long_name': 'Force or moment', 'units': 'N or Nm'} - wave_elev_attr = {'long_name': 'Wave elevation', 'units': 'm'} - x_wec, x_opt = self.decompose_state(res.x) - omega_coord = ("omega", omega_vals, omega_attr) - freq_coord = ("omega", freq_vals, freq_attr) - period_coord = ("omega", period_vals, period_attr) - dof_coord = ("influenced_dof", self.dof_names, dof_attr) - - # frequency domain - force_da_list = [] - for name, force in self.forces.items(): - force_td_tmp = force(self, x_wec, x_opt, waves) - force_fd = self.td_to_fd(force_td_tmp) - force_da = DataArray(data=force_fd, - dims=["omega", "influenced_dof"], - coords={ - 'omega': omega_coord, - 'freq': freq_coord, - 'period': period_coord, - 'influenced_dof': dof_coord}, - attrs=force_attr - ).expand_dims({'type': [name]}) - force_da_list.append(force_da) - - fd_forces = xr.concat(force_da_list, dim='type') - fd_forces.type.attrs['long_name'] = 'Type' - fd_forces.name = 'force' - fd_forces.attrs['long_name'] = 'Force' - - pos = self.vec_to_dofmat(x_wec) - pos_fd = real_to_complex(pos) - - vel = self.derivative_mat @ pos - vel_fd = real_to_complex(vel) - - acc = self.derivative2_mat @ pos - acc_fd = real_to_complex(acc) - - fd_state = Dataset( - data_vars={ - 'pos': (['omega', 'influenced_dof'], pos_fd, pos_attr), - 'vel': (['omega', 'influenced_dof'], vel_fd, vel_attr), - 'acc': (['omega', 'influenced_dof'], acc_fd, acc_attr)}, - coords={ - 'omega': omega_coord, - 'freq': freq_coord, - 'period': period_coord, - 'influenced_dof': dof_coord}, - attrs={"time_created_utc": create_time} - ) - - results_fd = xr.merge([fd_state, fd_forces, waves]) - results_fd = results_fd.transpose('omega', 'influenced_dof', 'type', - 'wave_direction') - results_fd = results_fd.fillna(0) - - # time domain - t_dat = self.time_nsubsteps(nsubsteps) - time = DataArray( - data=t_dat, name='time', dims='time', coords=[t_dat]) - results_td = results_fd.map(lambda x: time_results(x, time)) - - results_td['pos'].attrs = pos_attr - results_td['vel'].attrs = vel_attr - results_td['acc'].attrs = acc_attr - results_td['wave_elev'].attrs = wave_elev_attr - results_td['force'].attrs = force_attr - results_td['time'].attrs = time_attr - results_td.attrs['time_created_utc'] = create_time + >>> res_wec_fd, res_wec_td = wec.post_process(wec, res_opt,wave) + Note that :py:meth:`wecopttool.WEC.solve` method produces a list of + results objects (one for each phase realization). + """ + assert self == wec , ("The same wec object should be used to call " + + "post-process and be passed as an input.") + + def _postproc(res, waves, nsubsteps): + create_time = f"{datetime.utcnow()}" + + omega_vals = np.concatenate([[0], waves.omega.values]) + freq_vals = np.concatenate([[0], waves.freq.values]) + period_vals = np.concatenate([[np.inf], 1/waves.freq.values]) + pos_attr = {'long_name': 'Position', 'units': 'm or rad'} + vel_attr = {'long_name': 'Velocity', 'units': 'm/s or rad/s'} + acc_attr = {'long_name': 'Acceleration', 'units': 'm/s^2 or rad/s^2'} + omega_attr = {'long_name': 'Radial frequency', 'units': 'rad/s'} + freq_attr = {'long_name': 'Frequency', 'units': 'Hz'} + period_attr = {'long_name': 'Period', 'units': 's'} + time_attr = {'long_name': 'Time', 'units': 's'} + dof_attr = {'long_name': 'Degree of freedom'} + force_attr = {'long_name': 'Force or moment', 'units': 'N or Nm'} + wave_elev_attr = {'long_name': 'Wave elevation', 'units': 'm'} + x_wec, x_opt = self.decompose_state(res.x) + omega_coord = ("omega", omega_vals, omega_attr) + freq_coord = ("omega", freq_vals, freq_attr) + period_coord = ("omega", period_vals, period_attr) + dof_coord = ("influenced_dof", self.dof_names, dof_attr) + + # frequency domain + force_da_list = [] + for name, force in self.forces.items(): + force_td_tmp = force(self, x_wec, x_opt, waves) + force_fd = self.td_to_fd(force_td_tmp) + force_da = DataArray(data=force_fd, + dims=["omega", "influenced_dof"], + coords={ + 'omega': omega_coord, + 'freq': freq_coord, + 'period': period_coord, + 'influenced_dof': dof_coord}, + attrs=force_attr + ).expand_dims({'type': [name]}) + force_da_list.append(force_da) + + fd_forces = xr.concat(force_da_list, dim='type') + fd_forces.type.attrs['long_name'] = 'Type' + fd_forces.name = 'force' + fd_forces.attrs['long_name'] = 'Force' + + pos = self.vec_to_dofmat(x_wec) + pos_fd = real_to_complex(pos) + + vel = self.derivative_mat @ pos + vel_fd = real_to_complex(vel) + + acc = self.derivative2_mat @ pos + acc_fd = real_to_complex(acc) + + fd_state = Dataset( + data_vars={ + 'pos': (['omega', 'influenced_dof'], pos_fd, pos_attr), + 'vel': (['omega', 'influenced_dof'], vel_fd, vel_attr), + 'acc': (['omega', 'influenced_dof'], acc_fd, acc_attr)}, + coords={ + 'omega': omega_coord, + 'freq': freq_coord, + 'period': period_coord, + 'influenced_dof': dof_coord}, + attrs={"time_created_utc": create_time} + ) + + results_fd = xr.merge([fd_state, fd_forces, waves]) + results_fd = results_fd.transpose('omega', 'influenced_dof', 'type', + 'wave_direction') + results_fd = results_fd.fillna(0) + + # time domain + t_dat = self.time_nsubsteps(nsubsteps) + time = DataArray( + data=t_dat, name='time', dims='time', coords=[t_dat]) + results_td = results_fd.map(lambda x: time_results(x, time)) + + results_td['pos'].attrs = pos_attr + results_td['vel'].attrs = vel_attr + results_td['acc'].attrs = acc_attr + results_td['wave_elev'].attrs = wave_elev_attr + results_td['force'].attrs = force_attr + results_td['time'].attrs = time_attr + results_td.attrs['time_created_utc'] = create_time + return results_fd, results_td + + results_fd = [] + results_td = [] + for idx, ires in enumerate(res): + ifd, itd = _postproc(ires, waves.sel(realization=idx), nsubsteps) + results_fd.append(ifd) + results_td.append(itd) return results_fd, results_td # properties diff --git a/wecopttool/pto.py b/wecopttool/pto.py index e34b3b1e0..17841ec9c 100644 --- a/wecopttool/pto.py +++ b/wecopttool/pto.py @@ -656,10 +656,10 @@ def transduced_effort(self, def post_process(self, wec: TWEC, - res: OptimizeResult, + res: Union[OptimizeResult, list], waves: Optional[DataArray] = None, nsubsteps: Optional[int] = 1, - ) -> tuple[Dataset, Dataset]: + ) -> tuple[list[Dataset], list[Dataset]]: """Transform the results from optimization solution to a form that the user can work with directly. @@ -675,22 +675,21 @@ def post_process(self, To get the post-processed results for the :py:class:`wecopttool.pto.PTO`, you may call - >>> res_wec_fd, res_wec_td = wec.post_process(wec,res_opt) - >>> res_pto_fd, res_pto_td = pto.post_process(wec,res_opt) + >>> res_pto_fd, res_pto_td = pto.post_process(wec,res_opt[0],wave) For smoother plots, you can set :python:`nsubsteps` to a value greater than 1. >>> res_pto_fd, res_pto_td = pto.post_process(wec,res_opt, nsubsteps=4) - >>> res_pto_td.power.plot() + >>> res_pto_td[0].power.plot() Parameters ---------- wec :py:class:`wecopttool.WEC` object. res - Results produced by :py:func:`scipy.optimize.minimize`. + Results produced by :py:meth:`wecopttool.WEC.solve`. waves :py:class:`xarray.Dataset` with the structure and elements shown by :py:mod:`wecopttool.waves`. @@ -702,115 +701,125 @@ def post_process(self, Returns ------- results_fd - :py:class:`xarray.Dataset` with frequency domain results. + list of :py:class:`xarray.Dataset` with frequency domain results. results_td - :py:class:`xarray.Dataset` with time domain results. + list of :py:class:`xarray.Dataset` with time domain results. """ - create_time = f"{datetime.utcnow()}" - - x_wec, x_opt = wec.decompose_state(res.x) - - # position - pos_td = self.position(wec, x_wec, x_opt, waves, nsubsteps) - pos_fd = wec.td_to_fd(pos_td[::nsubsteps]) - - # velocity - vel_td = self.velocity(wec, x_wec, x_opt, waves, nsubsteps) - vel_fd = wec.td_to_fd(vel_td[::nsubsteps]) - - # acceleration - acc_td = self.acceleration(wec, x_wec, x_opt, waves, nsubsteps) - acc_fd = wec.td_to_fd(acc_td[::nsubsteps]) - - # force - force_td = self.force(wec, x_wec, x_opt, waves, nsubsteps) - force_fd = wec.td_to_fd(force_td[::nsubsteps]) - - # power - elec_power_td = self.power(wec, x_wec, x_opt, waves, nsubsteps) - elec_power_fd = wec.td_to_fd(elec_power_td[::nsubsteps]) - - # mechanical power - mech_power_td = self.mechanical_power(wec, x_wec, x_opt, waves, - nsubsteps) - mech_power_fd = wec.td_to_fd(mech_power_td[::nsubsteps]) - - # stack mechanical and electrical power - power_names = ['mech','elec'] - power_fd = np.stack((mech_power_fd,elec_power_fd)) - power_td = np.stack((mech_power_td,elec_power_td)) - - pos_attr = {'long_name': 'Position', 'units': 'm or rad'} - vel_attr = {'long_name': 'Velocity', 'units': 'm/s or rad/s'} - acc_attr = {'long_name': 'Acceleration', - 'units': 'm/s^2 or rad/s^2'} - force_attr = {'long_name': 'Force or moment on WEC', - 'units': 'N or Nm'} - power_attr = {'long_name': 'Power', 'units': 'W'} - mech_power_attr = {'long_name': 'Mechanical power', 'units': 'W'} - omega_attr = {'long_name': 'Radial frequency', 'units': 'rad/s'} - freq_attr = {'long_name': 'Frequency', 'units': 'Hz'} - period_attr = {'long_name': 'Period', 'units': 's'} - dof_attr = {'long_name': 'PTO degree of freedom'} - time_attr = {'long_name': 'Time', 'units': 's'} - type_attr = {'long_name': 'Power type'} - - t_dat = wec.time_nsubsteps(nsubsteps) - - results_fd = Dataset( - data_vars={ - 'pos': (['omega','dof'], pos_fd, pos_attr), - 'vel': (['omega','dof'], vel_fd, vel_attr), - 'acc': (['omega','dof'], acc_fd, acc_attr), - 'force': (['omega','dof'], force_fd, force_attr), - 'power': (['type','omega','dof'], power_fd, power_attr), - }, - coords={ - 'omega':('omega', wec.omega, omega_attr), - 'freq':('omega', wec.frequency, freq_attr), - 'period':('omega', wec.period, period_attr), - 'dof':('dof', self.names, dof_attr), - 'type':('type', power_names, power_attr)}, - attrs={"time_created_utc": create_time} - ) - - results_td = Dataset( - data_vars={ - 'pos': (['time','dof'], pos_td, pos_attr), - 'vel': (['time','dof'], vel_td, vel_attr), - 'acc': (['time','dof'], acc_td, acc_attr), - 'force': (['time','dof'], force_td, force_attr), - 'power': (['type','time','dof'], power_td, power_attr), - }, - coords={ - 'time':('time', t_dat, time_attr), - 'dof':('dof', self.names, dof_attr), - 'type':('type', power_names, power_attr)}, - attrs={"time_created_utc": create_time} - ) - - if self.impedance is not None: - #transduced flow and effort variables - q2_td, e2_td = self.power_variables(wec, x_wec, x_opt, - waves, nsubsteps) - q2_fd = wec.td_to_fd(q2_td[::nsubsteps]) - e2_fd = wec.td_to_fd(e2_td[::nsubsteps]) - - q2_attr = {'long_name': 'Transduced Flow', - 'units': 'A or m^3/s or rad/s or m/s'} - e2_attr = {'long_name': 'Transduced Effort', - 'units': 'V or N/m^2 or Nm or Ns'} - - results_td = results_td.assign({ - 'trans_flo': (['time','dof'], q2_td, q2_attr), - 'trans_eff': (['time','dof'], e2_td, e2_attr), - }) - results_fd = results_fd.assign({ - 'trans_flo': (['omega','dof'], q2_fd, q2_attr), - 'trans_eff': (['omega','dof'], e2_fd, e2_attr), - }) + def _postproc(wec, res, waves, nsubsteps): + + create_time = f"{datetime.utcnow()}" + + x_wec, x_opt = wec.decompose_state(res.x) + + # position + pos_td = self.position(wec, x_wec, x_opt, waves, nsubsteps) + pos_fd = wec.td_to_fd(pos_td[::nsubsteps]) + + # velocity + vel_td = self.velocity(wec, x_wec, x_opt, waves, nsubsteps) + vel_fd = wec.td_to_fd(vel_td[::nsubsteps]) + + # acceleration + acc_td = self.acceleration(wec, x_wec, x_opt, waves, nsubsteps) + acc_fd = wec.td_to_fd(acc_td[::nsubsteps]) + + # force + force_td = self.force(wec, x_wec, x_opt, waves, nsubsteps) + force_fd = wec.td_to_fd(force_td[::nsubsteps]) + + # power + elec_power_td = self.power(wec, x_wec, x_opt, waves, nsubsteps) + elec_power_fd = wec.td_to_fd(elec_power_td[::nsubsteps]) + + # mechanical power + mech_power_td = self.mechanical_power(wec, x_wec, x_opt, waves, + nsubsteps) + mech_power_fd = wec.td_to_fd(mech_power_td[::nsubsteps]) + + # stack mechanical and electrical power + power_names = ['mech','elec'] + power_fd = np.stack((mech_power_fd,elec_power_fd)) + power_td = np.stack((mech_power_td,elec_power_td)) + + pos_attr = {'long_name': 'Position', 'units': 'm or rad'} + vel_attr = {'long_name': 'Velocity', 'units': 'm/s or rad/s'} + acc_attr = {'long_name': 'Acceleration', + 'units': 'm/s^2 or rad/s^2'} + force_attr = {'long_name': 'Force or moment on WEC', + 'units': 'N or Nm'} + power_attr = {'long_name': 'Power', 'units': 'W'} + mech_power_attr = {'long_name': 'Mechanical power', 'units': 'W'} + omega_attr = {'long_name': 'Radial frequency', 'units': 'rad/s'} + freq_attr = {'long_name': 'Frequency', 'units': 'Hz'} + period_attr = {'long_name': 'Period', 'units': 's'} + dof_attr = {'long_name': 'PTO degree of freedom'} + time_attr = {'long_name': 'Time', 'units': 's'} + type_attr = {'long_name': 'Power type'} + + t_dat = wec.time_nsubsteps(nsubsteps) + + results_fd = Dataset( + data_vars={ + 'pos': (['omega','dof'], pos_fd, pos_attr), + 'vel': (['omega','dof'], vel_fd, vel_attr), + 'acc': (['omega','dof'], acc_fd, acc_attr), + 'force': (['omega','dof'], force_fd, force_attr), + 'power': (['type','omega','dof'], power_fd, power_attr), + }, + coords={ + 'omega':('omega', wec.omega, omega_attr), + 'freq':('omega', wec.frequency, freq_attr), + 'period':('omega', wec.period, period_attr), + 'dof':('dof', self.names, dof_attr), + 'type':('type', power_names, power_attr)}, + attrs={"time_created_utc": create_time} + ) + results_td = Dataset( + data_vars={ + 'pos': (['time','dof'], pos_td, pos_attr), + 'vel': (['time','dof'], vel_td, vel_attr), + 'acc': (['time','dof'], acc_td, acc_attr), + 'force': (['time','dof'], force_td, force_attr), + 'power': (['type','time','dof'], power_td, power_attr), + }, + coords={ + 'time':('time', t_dat, time_attr), + 'dof':('dof', self.names, dof_attr), + 'type':('type', power_names, power_attr)}, + attrs={"time_created_utc": create_time} + ) + if self.impedance is not None: + #transduced flow and effort variables + q2_td, e2_td = self.power_variables(wec, x_wec, x_opt, + waves, nsubsteps) + q2_fd = wec.td_to_fd(q2_td[::nsubsteps]) + e2_fd = wec.td_to_fd(e2_td[::nsubsteps]) + + q2_attr = {'long_name': 'Transduced Flow', + 'units': 'A or m^3/s or rad/s or m/s'} + e2_attr = {'long_name': 'Transduced Effort', + 'units': 'V or N/m^2 or Nm or Ns'} + + results_td = results_td.assign({ + 'trans_flo': (['time','dof'], q2_td, q2_attr), + 'trans_eff': (['time','dof'], e2_td, e2_attr), + }) + results_fd = results_fd.assign({ + 'trans_flo': (['omega','dof'], q2_fd, q2_attr), + 'trans_eff': (['omega','dof'], e2_fd, e2_attr), + }) + + + return results_fd, results_td + + results_fd = [] + results_td = [] + for idx, ires in enumerate(res): + ifd, itd = _postproc(wec, ires, waves.sel(realization=idx), nsubsteps) + results_fd.append(ifd) + results_td.append(itd) return results_fd, results_td diff --git a/wecopttool/utilities.py b/wecopttool/utilities.py index ff013d5c5..d76731704 100644 --- a/wecopttool/utilities.py +++ b/wecopttool/utilities.py @@ -219,17 +219,17 @@ def calculate_power_flows(wec, """ - wec_fdom, _ = wec.post_process(results, waves) - x_wec, x_opt = wec.decompose_state(results.x) + wec_fdom, _ = wec.post_process(wec, results, waves) + x_wec, x_opt = wec.decompose_state(results[0].x) #power quntities from solver P_mech = pto.mechanical_average_power(wec, x_wec, x_opt, waves) P_elec = pto.average_power(wec, x_wec, x_opt, waves) #compute analytical power flows - Fex_FD = wec_fdom.force.sel(type=['Froude_Krylov', 'diffraction']).sum('type') + Fex_FD = wec_fdom[0].force.sel(type=['Froude_Krylov', 'diffraction']).sum('type') Rad_res = np.real(intrinsic_impedance.squeeze()) - Vel_FD = wec_fdom.vel + Vel_FD = wec_fdom[0].vel P_max, P_e, P_r = [], [], [] From 98a1febe21f99c2c7b0cec475edbfad27803c8bc Mon Sep 17 00:00:00 2001 From: Michael Devin Date: Mon, 6 May 2024 15:12:42 -0600 Subject: [PATCH 18/30] v3.0.0 --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index af0cc9737..e3b351a0c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "wecopttool" -version = "2.7.0" +version = "3.0.0" description = "WEC Design Optimization Toolbox" readme = "README.md" authors = [ From bc38e2e2a8693af5cf1ef2622ba895ee02636069 Mon Sep 17 00:00:00 2001 From: Michael Devin Date: Mon, 6 May 2024 19:17:44 -0600 Subject: [PATCH 19/30] Lower tolerance for new test to fix CI failing occasionally --- tests/test_integration.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_integration.py b/tests/test_integration.py index 8000d8b45..9e60a1150 100644 --- a/tests/test_integration.py +++ b/tests/test_integration.py @@ -374,7 +374,7 @@ def test_unconstrained_solutions_multiple_phase_realizations(self, pow = [res['fun'] for res in long_crested_wave_unstruct_res] - assert pow[0] == approx(pow[1], rel=1e-6) + assert pow[0] == approx(pow[1], rel=1e-4) def test_saturated_pi_controller(self, hydro_data, From 77a0e8486acb536e3e54e82815445beb98b90cf2 Mon Sep 17 00:00:00 2001 From: jorgeypcb Date: Tue, 7 May 2024 11:49:22 -0600 Subject: [PATCH 20/30] removed comments for callback implementation and uneccessary cyipopt import --- tests/test_integration.py | 3 --- wecopttool/core.py | 3 --- 2 files changed, 6 deletions(-) diff --git a/tests/test_integration.py b/tests/test_integration.py index 5f4480dc4..dc4c963e6 100644 --- a/tests/test_integration.py +++ b/tests/test_integration.py @@ -151,9 +151,6 @@ def resonant_wave(f1, nfreq, fb, bem): return waves -#removed call back test since ipopt doesn't have a callback function - - @pytest.mark.parametrize("bounds_opt", [Bounds(lb=kplim, ub=0), ((kplim, 0),)]) def test_solve_bounds(bounds_opt, wec_from_bem, regular_wave, diff --git a/wecopttool/core.py b/wecopttool/core.py index 0d64a64dc..ca928557d 100644 --- a/wecopttool/core.py +++ b/wecopttool/core.py @@ -70,7 +70,6 @@ import capytaine as cpy from scipy.optimize import minimize, OptimizeResult, Bounds from scipy.linalg import block_diag, dft -import cyipopt from cyipopt import minimize_ipopt # logger @@ -785,8 +784,6 @@ def scaled_resid_fun(x): if use_grad: eq_cons['jac'] = jacobian(scaled_resid_fun) constraints.append(eq_cons) - - # removed callback since it is not present in cyipopt # optimization problem optim_options['disp'] = optim_options.get('disp', True) From ecd77276d31a02a0de2982121d032e01ebb14e06 Mon Sep 17 00:00:00 2001 From: Michael Devin Date: Wed, 8 May 2024 14:00:26 -0600 Subject: [PATCH 21/30] hyperlinks no longer have formatting, plus other small adjustments (#348) --- examples/tutorial_1_WaveBot.ipynb | 18 ++++++++++-------- examples/tutorial_2_AquaHarmonics.ipynb | 10 +++++----- examples/tutorial_3_LUPA.ipynb | 10 ++++++---- examples/tutorial_4_Pioneer.ipynb | 7 +++++-- 4 files changed, 26 insertions(+), 19 deletions(-) diff --git a/examples/tutorial_1_WaveBot.ipynb b/examples/tutorial_1_WaveBot.ipynb index c74b3b673..00d2badb6 100644 --- a/examples/tutorial_1_WaveBot.ipynb +++ b/examples/tutorial_1_WaveBot.ipynb @@ -106,11 +106,12 @@ "metadata": {}, "source": [ "#### Waves\n", - "WecOptTool is configured to have the wave environment specified as a 2-dimensional [`xarray.DataArray`](https://docs.xarray.dev/en/latest/user-guide/data-structures.html#dataarray) containing the complex wave amplitudes (in meters), wave phases (in degrees), and directions (in degrees).\n", + "WecOptTool is configured to have the wave environment specified as a 2-dimensional `xarray.DataArray` containing the complex wave amplitudes (in meters), wave phases (in degrees), and directions (in degrees).\n", "We will use an amplitude of 0.0625 meters, a phase of 30 degrees, and direction 0 for this tutorial.\n", "The two coordinates are the radial frequency ``omega`` (in rad/s) and the direction ``wave_direction`` (in radians).\n", "\n", - "The [`xarray`](https://docs.xarray.dev/en/latest/index.html) package has a pretty steep learning curve, so WecOptTool includes the `waves` module containing more intuitive functions that create `xarray.DataArray` objects for different types of wave environments.\n", + "The `xarray` package has a pretty steep learning curve, so WecOptTool includes the `waves` module containing more intuitive functions that create `xarray.DataArray` objects for different types of wave environments.\n", + "See the `xarray` documentation [here](https://docs.xarray.dev/en/latest/index.html) if you are interested in learning more about the package.\n", "In this case, we will use the `wecopttool.waves.regular_wave` function with our wave frequency, amplitude, phase, and direction:" ] }, @@ -212,6 +213,7 @@ "\n", "In order for the `WEC` object to be able to compute these data, we must provide information when we declare the object in the code.\n", "The required information includes:\n", + "\n", "* [Degrees of freedom to consider](#degrees-of-freedom)\n", "* [Linear hydrodynamic coefficients](#bem-solution)\n", "* Any additional loads (e.g. PTO force, mooring, non-linear hydrodynamics)\n", @@ -219,7 +221,7 @@ "\n", "Again, we will keep things simple to start.\n", "We will only consider heave motion and assume a lossless PTO, and the WaveBot has trivial WEC-PTO kinematics (unity).\n", - "We will apply one additional force (the PTO force on the WEC) and one constraint (the maximum PTO force), which [we define below using the `PTO` class](#pto)." + "We will apply one additional force (the PTO force on the WEC) and one constraint (the maximum PTO force), which [we define below using the PTO class](#pto)." ] }, { @@ -340,7 +342,7 @@ "For example, if the generator drive has a maximal current $I_{max}$ of 10 A, with a generator torque constant $K_t$ of 8 Nm/A and a gear ratio $N$ of 9 rad/m, this results in a max PTO linear force of $F = N K_{t} I_{max} = 9$ rad/m $\\times 8$ Nm $\\times 10$ A $= 720$ N.\n", "\n", "We will enforce the constraint at 4 times more points than the dynamics; see [Theory]((https://sandialabs.github.io/WecOptTool/theory.html)) for why this is helpful for the pseudo-spectral problem.\n", - "The constraints must be in the correct format for the solver we are using ([`scipy.optimize.minimize`](https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.minimize.html)); note the syntax of `ineq_cons` below." + "The constraints must be in the correct format for `scipy.optimize.minimize`, which is the solver WecOptTool uses. See the documentation for the solver [here](https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.minimize.html) and note the matching syntax of `ineq_cons` below." ] }, { @@ -460,11 +462,11 @@ "3. The size of the optimization state (`nstate_opt`)\n", "\n", "Optional inputs can be provided to control the optimization execution if desired, which we do here to change the default iteration maximum and tolerance.\n", - "See the [`scipy.optimize.minimize`](https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.minimize.html) documentation for more details.\n", + "See the `scipy.optimize.minimize` documentation [here](https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.minimize.html) for more details.\n", "\n", "To help the problem converge faster, we will scale the problem before solving it (see the [Scaling](https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.minimize.html) section of the Theory documentation).\n", "WecOptTool allows you to scale the WEC dynamics state, the optimization state, and the objective function separately.\n", - "See the [`wecopttool.WEC.solve`](https://sandialabs.github.io/WecOptTool/api_docs/wecopttool.WEC.solve.html#wecopttool-wec-solve) documentation for more information.\n", + "See the `wecopttool.WEC.solve` documentation [here](https://sandialabs.github.io/WecOptTool/api_docs/wecopttool.WEC.solve.html#wecopttool-wec-solve).\n", "\n", "\n", "Pay attention to the `Exit mode`: an exit mode of `0` indicates a successful solution.\n", @@ -852,7 +854,7 @@ "The inner optimization loop finds the control trajectory that produces the optimal PTO force for a given hull geometry, and the outer optimization loop finds the optimal hull geometry _amongst designs with optimal control trajectories_.\n", "\n", "The inner loop is consolidated into the `WEC.solve()` method, but the outer loop needs to be configured by the user for their particular design problem.\n", - "In this example, we will do a simple *brute force* optimization using [`scipy.optimize.brute`](https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.brute.html). \n", + "In this example, we will do a simple *brute force* optimization using `scipy.optimize.brute` (click [here](https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.brute.html) for documentation). \n", "\n", "![Device Diagram](https://live.staticflickr.com/65535/51751577441_515afec334_z.jpg) \n", "
\n", @@ -1084,7 +1086,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.7" + "version": "3.11.4" }, "vscode": { "interpreter": { diff --git a/examples/tutorial_2_AquaHarmonics.ipynb b/examples/tutorial_2_AquaHarmonics.ipynb index 46e013f70..8d42ede4e 100644 --- a/examples/tutorial_2_AquaHarmonics.ipynb +++ b/examples/tutorial_2_AquaHarmonics.ipynb @@ -48,7 +48,7 @@ "#### Geometry\n", "First we create a surface mesh for the WEC hull, and quickly visualize the cross-sectional shape of the hull.\n", "The AquaHarmonics hull mesh is already included with WecOptTool, much like the WaveBot mesh in Tutorial 1.\n", - "Take a look at the [`geom.py`](https://sandialabs.github.io/WecOptTool/api_docs/wecopttool.geom.html) module if you are interested in seeing how it was created.\n", + "Take a look at the `geom.py` module [here](https://sandialabs.github.io/WecOptTool/api_docs/wecopttool.geom.html) if you are interested in seeing how it was created.\n", "Note that the lower cylindrical section of the hull is open to the sea." ] }, @@ -89,7 +89,7 @@ "source": [ "#### Hydrostatics and mass\n", "The AquaHarmonics device is positively buoyant (i.e., the buoyancy force is greater than the force due to gravity).\n", - "Therefore we will set the rigid-body mass manually (unlike Tutorial 1), but allow the hydrostatic stiffness to be set automatically by run_bem() based on the mesh.\n", + "Therefore we will set the rigid-body mass manually (unlike Tutorial 1), but allow the hydrostatic stiffness to be set automatically by the `run_bem` function based on the mesh.\n", "We will also calculate the displaced volume and mass from the mesh (before manually defining the mass of the FloatingBody), which we will need later for defining forces and constraints." ] }, @@ -115,7 +115,7 @@ "source": [ "### Waves\n", "A regular wave will allow us to get a good initial understanding of the optimal control trajectory.\n", - "Note that we need to choose an appropriate fundamental frequency, $f_1$, and number of frequencies, nfreq, to ensure that the wave frequency and harmonic components are within the frequency array we use to calculate the hydrodynamic data." + "Note that we need to choose an appropriate fundamental frequency, `f1`, and number of frequencies, `nfreq`, to ensure that the wave frequency and harmonic components are within the frequency array we use to calculate the hydrodynamic data." ] }, { @@ -582,7 +582,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We can inspect each list of `xarray Dataset` objects for more details.\n", + "We can inspect each list of `xarray.Dataset` objects for more details.\n", "As an example the post-processed WEC time-domain results include the following:" ] }, @@ -900,7 +900,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.7" + "version": "3.11.4" }, "vscode": { "interpreter": { diff --git a/examples/tutorial_3_LUPA.ipynb b/examples/tutorial_3_LUPA.ipynb index 17950b5d4..7aee37448 100644 --- a/examples/tutorial_3_LUPA.ipynb +++ b/examples/tutorial_3_LUPA.ipynb @@ -100,8 +100,8 @@ "source": [ "#### Mesh creation of the float\n", "\n", - "Here we create the mesh based on the dimensions provided by Oregon State University using [`pygmsh`](https://pypi.org/project/pygmsh/).\n", - "This is the same package used by [`geom.py`](https://sandialabs.github.io/WecOptTool/api_docs/wecopttool.geom.html) containing the predefined WaveBot and AquaHarmonics meshes used in the previous tutorials.\n", + "Here we create the mesh based on the dimensions provided by Oregon State University using `pygmsh`, available [here](https://pypi.org/project/pygmsh/).\n", + "This is the same package used by `geom.py` (click [here](https://sandialabs.github.io/WecOptTool/api_docs/wecopttool.geom.html) for API documentation) containing the predefined WaveBot and AquaHarmonics meshes used in the previous tutorials.\n", "\n", "The float has a hole where the spar passes through it, though OSU has found that this hole creates a large spike in the BEM results at about 4.5 rad/s.\n", "There is not much energy in the waves at this frequency in the wave spectrum we will be using, so this spike should not significantly affect our results.\n", @@ -828,7 +828,7 @@ "source": [ "There are several analytical and numerical methods commonly used to model mooring system kinematics for offshore systems, ranging from static analysis to determine equilibrium forces, all the way to FEA used to calculate the fully dynamic response of the mooring system components.\n", "For this design problem, we are mostly concerned with modeling the correct response of LUPA due to operational waves, so the high-fidelity methods are unnecessary at this design stage.\n", - "While a purely linearized approach is common here, the symmetry of the taut lines in this current system allows us to instead use an analytical solution derived by Al-Solihat and Nahon (https://doi.org/10.1080/17445302.2015.1089052), which allows us to capture nonlinear mooring effects and off-diagonal terms in the mooring stiffness matrix without any significant increase in computation time.\n", + "While a purely linearized approach is common here, the symmetry of the taut lines in this current system allows us to instead use an analytical solution derived by Al-Solihat and Nahon ([link](https://doi.org/10.1080/17445302.2015.1089052)), which allows us to capture nonlinear mooring effects and off-diagonal terms in the mooring stiffness matrix without any significant increase in computation time.\n", "\n", "This solution takes an exact analysis of the derivatives of the classic elastic catenary equations and simplifies them by assuming the taut lines have no sag and negligible mass, allowing for the differential changes of the horizontal and vertical restoring force to be calculated as\n", "\n", @@ -845,8 +845,10 @@ "$$ L = \\sqrt{l^2 + h^2} $$\n", "\n", "When these equations are applied to the linear stiffness equation in each radiating ($i$) and influencing ($j$) degrees of freedom:\n", + "\n", "$$\\boldsymbol{K_{mooring}} = - \\frac{\\partial \\boldsymbol{F_{mooring}}}{\\partial \\boldsymbol{X}} \\\\\n", "= \\sum_{m=1}^{n_{lines}} [K_{ij}]^{(m)} = - \\sum_{m=1}^{n_{lines}}[\\frac{\\partial (F_{mooring})_i}{\\partial X_j}]^{(m)} $$\n", + "\n", "where $X$ are the generalized displacements of the WEC in each degree of freedom, they yield Equation (27) from the reference above which provides an analytical solution to the mooring stiffness matrix, which translates to the `k_mooring` function below.\n", "See the reference above for the full theoretical explanation and derivation of these equations." ] @@ -1442,7 +1444,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.7" + "version": "3.11.4" }, "vscode": { "interpreter": { diff --git a/examples/tutorial_4_Pioneer.ipynb b/examples/tutorial_4_Pioneer.ipynb index d594591e0..d7aa24dcd 100644 --- a/examples/tutorial_4_Pioneer.ipynb +++ b/examples/tutorial_4_Pioneer.ipynb @@ -286,6 +286,7 @@ "ex_handles, ex_labels = ax_ex.get_legend_handles_labels()\n", "ax_ex.set_xlabel(f'$\\omega$', fontsize=10)\n", "ax_ex.set_title('Wave Excitation Coefficients', fontweight='bold')\n", + "ax_ex.grid(True)\n", "fig_ex.legend(ex_handles, ex_labels, loc='center right', frameon=False)\n", "\n", "# Added mass\n", @@ -293,12 +294,14 @@ " radiating_dof='Pitch', influenced_dof='Pitch').plot(ax=ax_am)\n", "ax_am.set_xlabel(f'$\\omega$', fontsize=10)\n", "ax_am.set_title('Added Mass Coefficients', fontweight='bold')\n", + "ax_am.grid(True)\n", "\n", "# Radiation damping\n", "bem_data.radiation_damping.sel(\n", " radiating_dof='Pitch', influenced_dof='Pitch').plot(ax=ax_rd)\n", "ax_rd.set_xlabel(f'$\\omega$', fontsize=10)\n", - "ax_rd.set_title('Radiation Damping Coefficients', fontweight='bold')" + "ax_rd.set_title('Radiation Damping Coefficients', fontweight='bold')\n", + "ax_rd.grid(True)" ] }, { @@ -1135,7 +1138,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.7" + "version": "3.11.4" } }, "nbformat": 4, From 4792bea93698488d5b70fe3d6d807ea3513b66cc Mon Sep 17 00:00:00 2001 From: Michael Devin Date: Thu, 9 May 2024 08:36:37 -0600 Subject: [PATCH 22/30] Merge to dev, not main (#349) --- .github/pull_request_template.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md index 234d6f86b..a3fdb5d96 100644 --- a/.github/pull_request_template.md +++ b/.github/pull_request_template.md @@ -9,7 +9,7 @@ Concise description of the pull request with references to any [issues](https:// ## Checklist for PR - [ ] Authors read the [contribution guidelines](https://github.com/sandialabs/WecOptTool/blob/main/.github/CONTRIBUTING.md) -- [ ] The pull request is from an issue branch (not main) on *your* fork, to the [main branch in WecOptTool](https://github.com/sandialabs/WecOptTool). +- [ ] The pull request is from an issue branch (not main) on *your* fork, to the [dev branch in WecOptTool](https://github.com/sandialabs/WecOptTool/tree/dev). - [ ] The authors have given the admins edit access - [ ] All changes adhere to the style guide including PEP8, Docstrings, and Type Hints. - [ ] Modified the documentation if applicable From d701a22ef7f567a3791e2d69c2ac063e60829e5b Mon Sep 17 00:00:00 2001 From: jorgeypcb Date: Mon, 13 May 2024 12:02:15 -0600 Subject: [PATCH 23/30] fixed metadata to match original repo --- examples/tutorial_1_WaveBot.ipynb | 1140 +---------------------------- examples/tutorial_3_LUPA.ipynb | 315 ++------ 2 files changed, 87 insertions(+), 1368 deletions(-) diff --git a/examples/tutorial_1_WaveBot.ipynb b/examples/tutorial_1_WaveBot.ipynb index bcb4ad691..374ba5779 100644 --- a/examples/tutorial_1_WaveBot.ipynb +++ b/examples/tutorial_1_WaveBot.ipynb @@ -26,7 +26,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -83,7 +83,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -107,30 +107,9 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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c4OLiQn5+fpekdXl7aEDWICaklpYWKikpoaioKLlb7GUGmYAuIxjn9thrphJrL+aaxplDWwlIo9FQcXExaTQaGj58OHl7e7dqHHshNV9e8oYLU15hQK1WU3Z2toFJj+fP2BK8canQEWHRxkEtF7N1+cVIfLV2Pm6O45C7xV4ekAnoMoClVtm2ghOQVqultLQ0KigokGwaZwniaDh7UFFRQXFxcaRUKikoKMgm8mmPH7YtY4grDHTt2tUkoTM9PZ2cnJz02pE9+TMXE5eagCxpJOKgEGuty20h9dYEIbQF5sK+5W6xHQ+ZgDoY9vbtMQeFQkH19fUUHx9vsWmcJdhbiZlXUcjIyKDIyEhqbm7W1/26VLBXM5FK6KyqqiK1Wq3PnxE3lfP19b3kAQ2XYzVsMcy1Lq+oqDAgdXOtyztKA7IEWwlJbj3RvpAJqAOh0+moqKiIKioq7Ko6LQXGGMXFxVG3bt0sNo2zBHtquTU3N1NCQgJVV1fTsGHDyMfHhzIzM20+vj2EbHv8+JVKpUGXU+Omcg0NDeTp6alfIGi1WrtLBrUGHWmCsxfGUYqc1M21Lr8UPiAxuEnbHogJSW7Od/EgE1AHgJvceIROeXk5RUREtGos3jSupaWFevXqRT169Gj1vIz9SOZQWVlJsbGx5OnpSaNHj9bn4FwNxUiNm8rxcOXs7GwqLS2lkpISfXSYn58feXp6trvQudw1IGswJnXj1uX19fWUlpZGAQEBbW5dbgvaSnjioqpEMiG1J2QCusQwzu1xdHRsdehzTU0NxcbGkrOzM7m4uLTZ8W+NQBhjlJOTQ+fOnaOIiAgKDw83cV5f6tpsF/t8PFy5oqKCXFxcKCgoyCA6jIj0vg8/P792q1B9JWlA1mDcuvzw4cPUuXNn0mg0bWpdbivaW+OSIiRxcz6NRkPNzc1UW1tLQUFBMiFZgExAlwjmcnts1TqMxzJuGnfkyJE25fAQWQ5CaG5upsTERKqqqqJrr71Wb24xPv5q7gckFR3GnfHWSgbZgytdA7IF/v7++uTktrQutwUX2+QnTpXgrSeqqqro3Llz5OPjI3eLtQCZgC4BxOV0iAxfWHsJqLm5mZKSkqiiooKGDBmir/3VGiIzhrkghKqqKoqNjSV3d3cDk5sxWhtFd6VCoVCYtEzgvo+CggJ9ySBxhJ0tpqaODsO+2DAOQpBqXV5RUUGVlZV687JU63J7zncpfU58IcYj6ORuseYhE9BFhji3R5ypzWEPcVRWVlJcXBy5u7ubNI1rDwIyJhCxptWzZ0/q3r27TRUZLhUutx+r2Bnfo0cPA99HdnY2JSYmkoeHh56QfHx8zK7sL9W12VtFvb3OaYkQjPO4zLUuF1dpsDR/nU53SQJHzJ1TSkOSCQmQCegiwdbcHluIQxzuLOV7IWof85d4jJaWFkpMTKSKigqb23PbowG11w/rcg56MPZ98IKgarXaoGQQJyS+sr+UhMDv3+UWFs2hUJhvXc6DGojIYuvyS60BEVmOlrSVkP4L7ctlAroIsCe3x1ozOY1GQwkJCVRbW6sPd5ZCe5rgqqurKTY2llxdXWn06NE2J2Z2RBDClQSpkkG8BxJf2fv4+FBLSwu5urpeEiK61ATUVo3LOLHY2A9n3Lrc19eXWlpaOoSA7CFZKUISd4u977776JFHHqGZM2dezGlfcsgE1M7goZm2VjSwRBy8qCdvGmfJf9AeBESEqtmFhYXUo0cP6tGjh12C4r8QhNCecHV1pZCQEIOVPU+Ira6upvLycrtLBtmLjiAgImo3QpDyw/FOsbx1uUKhICcnJyooKGhT63J70Bazn3H9R8YYlZWVXRYVOtobMgG1E8S5Peb69khBijjMNY2zdxx70NLSQo2NjVRfX28Q3GAP7CGg0tJSamxsJH9//1ZFivHzXS0Qr+wbGhpIqVRSYGCgQcmg1rbctoRLTUD8Hb1Y53NwcCAfHx/y8fHRV7pISUmhhoaGNrcutwetSX41B4VCQXV1deTu7t4u411OkAmoHdCWcjrG7bR507jGxkaTPjqW0Bbtg+cT6XQ6ioiIaBX5ENlWyocLhOLiYnJ1daX09HRydXU1iBSzJwfkcvYBtRb8XTAuGcQDGtqzZNCVrgFZg1KpJCcnJ3J2dqbIyEirrcttjVS0hvasmMGrk1uqZn+lQiagNsJSq2xbIO7Do1arKSEhgQICAiSbxlkbpzUaUF5eHqWkpFB4eDhVVFS0+UdjiRDq6+spNjaWFAoFjRgxQp+EK1X6hmfSWwq5vZo0IDGkfCRKpdKk5bbUfRP3QLLlWV5tGpC5c3JSsda6nEcqSrUut/ec7Rl5J2tAMgxgnNvT2ggVLlzT09MpLy/PYtM4a+PYQ0C8hE9ZWRkNHjyYAgIC6PTp023SKCxpQCUlJRQfH09dunShqKgoYoyRRqMhR0dHg9bRjY2Nesd8QkKC3jHPNSTjCKf/KsyVDKqoqKCkpCSDhnKWSgZ1FAF1dDVsDntal9uTFKvVatutmgP3D3p6erbLeJcTZAJqBXigQUxMDA0ePJhcXFxa/QNuamoiIqKysjKrTeMswZ4Q6NraWoqNjSWVSkWjR4/W+2DamkgqZQbU6XSUkZFBOTk51K9fP+rSpQsRkZ64jeHi4kJdunQx6OWjVqtJrVYbVBrw8/MjJyenq9oEZw/EHU6lGsoRkQGR85JB4qoclwKXuhUDkX3aiKXW5SkpKaTRaAySYs21Lm9PE5xGo6GWlhaZgP7rEJfT4T1R2lJavri4mBISEoiIaNCgQW2y8draSqGgoICSkpKoW7duFBERYfDjaY8oNvHxTU1NFBcXR01NTa0iV7Fjnveh4a0T8vPzqbq6moigPfr5+bXaXHK1wVzJILVabdC/h2uUlxKXuhUDP2drSc+Y2MVVGiy1Lm9PE1xdXR0RkWyC+y9DKtDAWg6PORg3jYuPj2/zj9LBwUE/N3Pn5M7/QYMG6U0OxmO0lwmuoqKCYmNjydfX125/lqXxxWX/eVVuxhhlZGRQQ0ODfnVqzX9kL67kjqjiUOXw8HDSarVUXV1NarWaSkpKiDFGx44da3dHvBQ6SgNqj3NKJcWaa13Ogwba41nW1tbqz321QSYgG2CuVXZrHP91dXUUGxtr0DQuMTGxXZJIea97c+dUKpU0evRos3kQbdWAuAkvOzubMjIyqFevXhQWFnbRVrwqlYoUCgX17t2biIQaYlxDEvuP2rNS9aXAxZynUqnUE01QUBCdPn2aIiIi9C3LExMTDfwelkoG2YuO0IDaMyRaDClNk7cur6qqotzcXMrLy2t163IOHoBwqYn7UkAmIAuwVk5HqVRa1DqMwc1fXbt2pV69eulfqPaq4yZFHoWFhZSYmGhyTim0dR5arZY0Gg3l5ORYrNpwsWBcQ4wLA3Glau4D8fPzu2wT+y61tuXg4GBSMogHgvCSQWIzU1s0y44oi3OpzqlQCK3Li4qKqHv37uTk5GTSupyTuq3JxZyArpTFkz2QCcgMbMntsWb24mhpaaGUlBQqKSmha665Rh+5JB6nPTQg8RharZZSU1OpqKhI8pxSaGsuUVJSEjHGLFbMbm+Ym69YGISFhRmYnXjoOc+juRz9R5cyKMD4XE5OTvrq1OaKgYp7INkjHK9kE5w94EEI5lqXFxUVWW1dzlFXV3dVmt+IZAKShK25Pbb4gHiSp5OTE40ZM0byBWtvAhLn21gyuRmjtVFw+fn5lJycTJ07d6bi4uJLRj72CGmx2alnz54GeTQ83JYXBuVhyx1l8ric/E1Sfg+uWfLcGbFvzs/Pz+L7dqUFIbQWUlFw1lqXp6SkkKurqwEhOTk5UW1trawB/Rcgzu2xpZyOJeJgjFFeXh6lpqZSeHg49ezZ0+yPoD1bKRQVFVFiYiKFhIRQ79697frh2RuEYBzY4OzsTMXFxTbPtz3QWmFtnEcj9h/xVT4XqL6+vpc83PtS5uXYW+9PrFka114zLhnEw+U5Lvcw7Et5Tmuty0+cOEHz58+nTp066Zv2STWCtIRVq1bRBx98QIWFhdSvXz9asWIFjR07VnLf/fv308SJE00+T0lJoaioKP3ff//9N82fP58yMzOpZ8+etGTJErrzzjvtmheHTED/wrhVti2JpeZ8QOaaxlkapz0KidbU1FBiYiL1799f39zLHtijAUlpWTU1NVdscVAp/5E4bJkI1+zi4nLR6odxXE4akDVI1V7jQjQ3N9egZJCfnx81Nzf/ZzQge89p3L6jqqqKXn31VVq9ejXl5+dTQEAADR48mCZOnEizZ8+2+htfu3Ytvfzyy7Rq1SoaM2YMff3113TTTTdRcnIyhYWFmT0uLS3NoASYOGI2JiaGpk+fTosXL6Y777yT/vnnH7rvvvvo8OHDNGLECLuul0gmILOtsm2BlOZi3D3UFkHVVg2ovr6ezp8/T83NzTRmzJhW24stRdKJUVJSQgkJCdS5c2eKiorS/9CulmrY4lV+t27dSKvVUlxcHBGRQR02vnptzygxokvbobS9z2WpZNC5c+f0hVazsrIsJnK2Jy41Ael0On1H1LbA29ubHnroIaqqqqLjx4/Tl19+Sfv376e9e/faNPbHH39Ms2bNoscff5yIiFasWEE7duygL7/8kpYtW2b2uE6dOpkNIFqxYgXdeOONNHfuXCIimjt3Lh04cIBWrFhBv//+u93X+J8mIONAA3szwsVBCIwxysnJoXPnztnUPdR4nNYSEE9m9fb2JicnpzY5K60RCGOMzp07Z1LVwNbjjfdtKy6VkFYqleTs7Ezu7u4UHh6uF6rixnLGZW/aKvCuVAIyhrGpMycnhwoLC6mhocEgkZObOq11N20NOoKAiKhdE1E9PDyoS5cu9MADD9ADDzxg9RiNRkOnT5+mOXPmGHw+efJkOnr0qMVjBw8eTI2NjdS3b1+aN2+egVkuJiaGXnnlFYP9p0yZQitWrLD9gkT4zxKQudwee8BNZ7xpXE1NTavCj1tDQDqdTl8/rl+/fqRQKCg7O9uuMYxhyQQnrmowcuRIybIg9mpA7ekHupRmHSn/EQ9bvnDhAhGRQf6RvX18riQTnL1QKpXk6upK/fr1M0jkVKvV+u6mbc2bEYNrI5eSgMRm/PZAayphl5WVkVar1ZcU4ggKCqKioiLJYzp37kzffPMNDR06lJqamujnn3+mG264gfbv30/jxo0jIqKioiK7xrSG/xwB2doq2xY4ODhQXV0dHTlyhHx8fGjMmDGtyiC3l4AaGhr07RNGjRpF7u7uVFJS0m4dUY1ha1UDTkCXSqhdLlFBxo3ljMveqFQqg/wjW6IErxYNSOp8YpOtOJFTp9OZ+N5UKpXVMGVr5yO6tMVPtVotKRSKdjtnbW1tq+vAGT9bS8+7d+/e+qRuIqJRo0bRhQsX6MMPP9QTkL1jWsN/ioB4z/WkpCSKiooiR0fHVt84Lmiqq6spKiqqTRn/tuYTEQn+l6CgIOrTp49ezb8YyazcrJienk69evWibt26WQ3Z7QhcToQnVfaG16/j/iNe7t+c/+hq1oAsRd05ODhI3jseppyammoSpmxtwdfe2ogtuBitGDp37mzXMQEBAaRUKk00k5KSEhMNxhJGjhxJv/zyi/7v4ODgNo8pxn+GgLiprKWlhfLz86l3796t/uHxpnF1dXUUFBRE3bp1a9PcbCEPnU5H586do9zc3Db7X8xBbIJraWmhhIQEqqqqomHDhtkU/snv5+VECB0N41BbXu7f2H8kzj8iuno1IHv8MVJhyuL8I1tKBnVE+4f2Lv3Tml5ATk5ONHToUNq1a5dBiPSuXbvo9ttvt3mcs2fPGpDfqFGjaNeuXQZ+oJ07d9Lo0aPtmh/HVU9Axq2yufnInhI6YpSVlVF8fDwFBASQt7c3aTSaNs/RGgE1NjZSXFwcNTc3m60q3V7JrFyzO3v2LLm6utpV1YALso4Ie71SIC73L64yoFar9W0TFAoFVVRUkLe3t93+I3vRESa4VptrjHpH8dyYiooKSk1NJY1GYxIM0lYze2vQnq0YiOADak0l7FdffZUefPBBuvbaa2nUqFH0zTffUG5uLj399NNEhAi2/Px8+umnn4gIEW7h4eHUr18/0mg09Msvv9Dff/9Nf//9t37Ml156icaNG0fvvfce3X777bRhwwbavXs3HT58uFXXdlUTkLncHntruPGxuAbSp08fCgkJoezsbGpsbGzzPC2RR2lpKcXHx1OnTp2ob9++Zl/s9jLBNTY20rFjxyg8PJwiIiLsTlK0Fc3NzVRTU0NeXl5tFg6t0fw0Gg0VFxdTUVERFRUVUXR0NI0aNYqcnZ1JpVKRSqUiR0dH/f/z8vLIw8ODCgsLJb93cXGxO/dKqspATU0NJSQkUHV1NR0/flyf1Ml9SO1dZeJSO+jbc3Hi7OxstWQQX6xdymoCF8ME15pWLdOnT6fy8nJatGgRFRYWUv/+/Wnr1q16i01hYaF+0UOE38Rrr71G+fn5+kCRLVu20M0336zfZ/To0fTHH3/QvHnzaP78+dSzZ09au3Ztq3KAiK5SArKW22MvATU0NFBcXBy1tLQYaCD2+G4swcHBwaRBm7iRmy1dUtujkGhBQQHV1dXRkCFDJNs1WINYA7KEqqoqOnv2LGk0Gn2JHG5qscfJrFAoSK1W0+bNm+m3336jnJwcCg8Pp6qqKqqtraXa2lpqaGigpqYGamlppJaWZmpp0VJLCyOpx7Zu3V/UGiumQkHk4EDEGJGTkwOpVCpycnIjd3dPvXktMDCQgoODKSQkhMLCwqh79+7Uo0cPg7B57j9ycXGhkJAQCgwMNMiMT0pKIg8PDz0ZtUf+UUcGIbQnzJUMKiwspOrqajp9+rS+FA6/f7aWqLIXF8ME19peYc8++yw9++yzkt+tWbPG4O833niD3njjDatj3nPPPXTPPfe0aj7GuOoIyLhVtlRujz3EUVxcTImJiRQcHExRUVEGP/j2qmBgTB7c5KbRaMyGPBujLT4gXtWgubmZPD09W0U+RIKd3dI8eCHQHj16UOfOnfUdTwsLCyktLY1cXV0NEjxLS0vp1KlTFBcXR+np6ZSTk0NFRUVUW6umxsYmMs6bTU1NJp2OqEcPIl9fou7diXx8iLy8sHl7C//38iJatYrowAGiW28l2rkTZLJmDY7X6Yi0WsNN/NnmzUTffUfk6krk4kJUUUH0+OM6am5uorKyJiourqCSEqLERHwn9apwOaVSOVFERCRFRESQv78/3XDDDTRlyhSDpE6x/yg1NZWam5ttarttCR3hA7oUZXF4MrFWq6WysjIaOXKkvmQQf9culnbZniY4HqrelmaVlzOuKgISdyslMu94tEUD0ul0lJqaSgUFBdSvXz/JKJT21ID4nMvLyykuLo4CAgJo6NChNldobq0GxE18wcHB5OvrS+fPn7d7DGNIEZBOp6Pk5GQqLi6mIUOGkK+vr95mr1Ao6OjRo7R48WJqbGwkBwcFNTZWU1NTswHBqFREISFEffuCIMLDhe2FF4iys0E4Z84QlZQQ3X470fLlRObkyoIFRAcPEj30ENEPPxCdPk10001EDz9MtH49kcjyYIJHHyX66Sei/v2JoqOJKiuJRo/G/7OziYwfG2NEVVVEZWXY/vqL6LPPiFpaQF7NzRpqakqirVuTqLmZaPXq1eTgQOTqqiJPTz8KCQmlqKgoGjJkCF133XU0cuRIampq0ucfcVOKWJu0ZYV/tWhA5sBNfsYlg1paWvTRiVy75NUtuHbZ2uro7U2ytbW1MgFdzrA3t8ea5lJXV6cvvcKbxrVmHFvBiSwjI4Oys7MpKiqKQkND7a7KYE8OjlRVA94ds7UQR8GJwfOWiIj69u1Lmzdvpl27dlFsbCwVFeVSXZ2GGIPQbmkRhPfjjxONHSuQTHCwoDEYo6oK5HPqFNG+fUSLFxN98gnRV18RTZ9O9PnnROLf8KefYp9bbyX6/nuMO2wYSGjKFJDXe+8Rvfqq4XnUaqKRI4nOnSN64gmQCLca/vor0d13E02aRLR/v/G9gSZWUUH09NNE8fFEYWE43skJxPfAA0Rvv0104QJRejpRWhpRenozpaYWU0pKMZ05c5p+/fVXIsI9cnJSUUNDCw0ZMoRmzZpFN9xwAzU1NRkUBeVkZC5k+XIKw75Y55MiPEdHRxPtsrKyktRqtUF1dB5hZ0/JoMvJBHe544onIFv69hjDkgZkrmmcFNrD8U+Ea6ioqKDa2lqbTW5Sc+FjWbt+jUZDcXFx1NjYaHC+toZyc3MnH0OtVtNvv/1GGzZsoJycHFKri/Rko1QS9ekDchg6lEijIXr5ZZBCairR2rVE33wDs9ibb0LoW/pNl5QQ9e4NQX/99dhOniRasgQmtd9+g0bz9dcYc/ZsonHjcB7xQrdbN6Ljx4nuuovotdeIkpNhZiMCqdxyC1FzMzSmRx4xnMNdd+F8//d/RC++CHLhaGyE1vT33zjf8uVEL71E5OwM7ei664g+/JBo/nyBcCdPNhy/sZEoKQnHHTtGVF8P9fD06dP/+jiIvLw8KCIiisaNG0c33XQTKZVKOn/+vEHIsp+fH3l7e+sXUJcDIXT0+ZycnAyqWzQ2Nuq1S14yiPdAslYyqL1NcDIBXabguT32hlpKEZC1pnG2jmMv1Go1ZWVl6Vt0t1bttzUEWlzVYPDgwQbna20/II7k5GRasGABxcXFkUqloKYm3BtHR5DN5Mkgm6FDiQYMEDQHIghnhYLo+eehKaxYASH/xRdETz0FTeT224k++giakBiNjUQ1NTDPiTFsGExiyckQ+L/8QrRhA+kJ0N+f6PXXiQICiDp1wridOxN16QL/zosvgnxSU0FW779PFBqKMa65RvoezJ2L861cSTRoENFjj2HO77xDVFcH0lq2zPAaFAqMPXo0yGXlStNxz53DfPbtI2pqAmG98grRxx9DW9q0iejoUaIjR2rp0KFT9PHHp+jjjz8mV1clBQV1paFDh9K4ceNoyJAhVFxcrPcfEQna86Ugoo4oi9Oa87m4uFCXLl301dHr6+v1hHT+/HlSKBRmSwa1pwmusbHRIJrvasMVSUDGuT32xvkbE0dNTc2/QlNltmmcFNqiATHGKCsri7Kysig4OJjq6ura1JGT/8gs9SfixVIjIyMlqxrY2w+osbGRfvrpJ/r9998pMfEs1dQIIelNTSCenj1BJlOnWh7r4EH4U3gZvYAAkMPs2dBYVq4k+v13aCx9+0JT4vl0vAVR9+6GY1ZXg0D++guBAOJLUyqJ/vlHOjBAvI+jIwQ7r99YU0N0223QXFxciNzcsLm7w8Tn4UHk54fPHn8cWlRFBdHw4biGa6+VPteoUdCuVq+G6Y/Lm/XroVGlp2M+M2aApAYNwvdJSdDYBg8mGjECpMQYUW4uUUwM0dGjWjp48Dz98895+vvvv0mppH9bauNdf+KJJ0in09Hhw4dtbirXFlyJGpe4ZFDXrl1Jp9NRTU2NQattcckgjUbTbgENdXV1REQyAV0uaI3JzRjc52JP0zhL49gLjUajr6QwfPhwamhooNraWrvHMZ4LkTQBtbS0UGJiIlVUVNC1115rtqqBLSa406dP01dffUV79+6h4uICamlBZNm0afBjvPkmNJH33iP6+WeiP//E597e+HfRIqLISMMxGSPKzyeSihZ1cAB5TZ0Kofrtt0Rffkl0xx0gq5kzBSLq2ROay+rVREeOEJWXI1rNzw+kMWUK0ZgxRAMHggj274dWUlUlbNXVwv9/+AFmPO6bUqmgpdTUENXW4tiCAqKGBmET336lEuPhvhGNHw/S8vUlCgqCDygiAoQ6aBDMd1u2QBvs1Qv+K7Ua2tmiRURPPklkHKA4cSL8Rn/8gWAKPEeYErt1I7r/fhDUN9+AzOrqiCoqqkmpJNq4cSNt27aROncOozvvvJPuuecevf+I9z2y5D9qDToiCKG9o+4cHBwMWm0blwyqrq4mlUpFWq1WH83Z2vtXW1tLDg4OF21B0NFQsEvdwKUNsLVVtjUkJiaSSqXSJ64NHDjQatM4KdTW1lJMTAzdeOONNh/DTWA+Pj7Uv39/UqlUVFJSQufOnaMxY8bYPQcxtm/fTuPGjTMImuAtwV1cXGjgwIEW+xNVVVXR6dOn6frrr9d/VltbS99//z2tW7eOkpPjqK5OQwoFBDgnnaFDIWyJEJL89NMIACAiqq8n2riR6McfockwBuH7wAPwd/j4EB06BBNXdLRAJubQ0gJtZuVKmNTEecDiIIbrrsPcJk8G4Yhl3pNPIoKtttY0Wo0IZDh5MkxpI0fCh7RlC7SxBx5AsIH5e4hzJybC57RvHz5fsICoqIgoL48oJweBBsXFhoSlUGATf9ajB9E99+AaBg8miooyvBaNBuR+/fWYo05HtHcv7s2hQyBIfo9698Z+Oh18YR9/jDn89RdRVhaeYVBQME2ZchM98sgj5OHhQWq1murq6sjT01NPRtx/1BqcOXOGOnfubHdts9YiJyeHamtrqV+/fpfkfERE8fHx5OjoSI6OjqRWq6m+vl7S/2YLEhMTacqUKVRZWXlVVhe5IjQgnuXc0tJCKpWqzaU1WlpaqKioiLy9vW1uGicFsSZlbT6MMcrOzqbMzEzq1auXQfHS9gpmMDah8YAKW6sacA2ovr6eli5dSh999KHebOXnB0E4dSrRjTfCf2KMxEQIu1GjhM/c3LAKv/9+BAqsXQvN4uOP4aTv0QP5OEQQpl98AWGYm0tUWEhUWooQ54YGfN/cbGhKE4OTT2QkhP9zz+H8xnjsMWhSH39MZJx39+672BQKRM49+ywEfq9eCK9euRLjL1hgOu7ZsxDwNTUwO774IkjhttugfRw7Zri/Vot7sncvfFzl5aSPBlQoQNS5ufAPcTg4COY/Hx/4klQqkHtYGAhFo8F+/ftjMTBuHEiRa0+33IIxnnkG4yxfTpSSggXA338X0Q8//EBr1vxAvr7eNG7cRHr66aepa9eupFarKTk52cAh7+fnRx4eHjb/Hi/XIIT2BGOMvLy8KDQ0lIiEkkFqtZpSUlIkSwaZmyOvA3cl1D1sDS57AuK5PWlpaaRQKCgqKqpNFaxzcnKouLiYvLy86Nprr23Tg+WrGGsExPsF1dbW0vDhw/XOX472zifS6XSUkpJCRUVFNGjQIJsTS7du3UqLFy+m3Nwsam7mZeyxYq6uxmrexQUrcSkC+u03/DtypPT4nTqBFAYNgnlp3To414kgdO+7T9hXpYLA7NwZJqrOnSFsjbeWFqzsX3sNJrZ//sG4b7xB9NZbEMr33CMEGxDBVxIRgSRUTkCZmTg+MxMk8v33iETjUChAKjk5IKiICJj/OD79FOfw84MZkCuzt9yCIIRXXwXxrV4tHLN3L/w5aWkghBdeQCTgDz/Ax7VmDUxspaXQmC5cgAbF/3/+PMxrCgXILD8fRPnhhyAco9dMj2PHBHMgR58+2ObOxTgbNxKtX19FmzZFU3R0NHl6ulBERB+64YYbaPbs2QYOeXsqDFzJpX9shXEUnLmSQbxCOmNM3z/K19fXgHBaU4j0SsJla4ITl9PR6XSUmZlJGo2G+vfv36rxNBoNJSYmUnV1NQUEBJBOp6OBAwe2aY7Nzc20Z88emjRpktkAgsrKSoqNjSUvLy8aMGCApC24srKSzp49a9B5sDXYs2cPDRgwgDIzM4kxRoMGDbLaITUnJ4fmzZtH27dvppqaBvL1RSLm//4HQf3kk3Cmb96M6K9/06PI2xtRZo8/TnTvvSCqUaMgwIuLIRRbWiBkN2+G0MvMBJHxqkOBgSCzvXuhCWVlgezCw7Hqv/tu69d8zz0gnZwcRKgRQYs4c0Ygo7Q0zC8oCGbDN97Aan/OHKKMDPiUVqwACaxYAaIwt56or4dGER+PeY8ejVyibduEsG7jyvSM4T5+/z1Mkx4e8NsUFIDIX30Vmsq/RZ+pvh5alk4HLVAKKSkgzAsXoGHNnAlN5swZaJRvvAEyMZa9ZWWY30cfgewsITcXWuL330Oz5c/Nx8eDHnroMZo3bx45OTnp+x+p1Wqqrq4mFxcXg2oW4nf++PHj1LNnTwrgq4GLjHP/rnAijR2PFxGnTp2isLAwmyJpeckgTkiVlZXk6OhIPj4+dODAAVIqlfTLL7/o8xLtwapVq+iDDz6gwsJC6tevH61YsYLGjh0rue/69evpyy+/pNjYWGpqaqJ+/frRggULaMqUKfp91qxZQ48++qjJsQ0NDXb3aeK4LAlIqlV2dnY21dTU0DXm4l8toKKiguLi4sjLy4v69+9P+fn5VFlZSYMHD27TPHU6He3cuZMmTpxoYsazJeqMo7q6mk6ePEk33HBDm+aze/duIkJnwz59+phd+bW0tNAnn3xC3377DeXloYPn1KlEs2Zhxe7kBHNQQAAE2XvvCccWFkLYbt5MtH07TGNOTohAy8qCgz0kBOaqmhrS11zr0gWRYEOHEg0Zgi04GML/2WcRZdajB5zln3+OVb+vL+a0eLHhal24DiJPT8z5r7/M35dz50A469YhqIAIJFBTA7+HVgvyeu01aFqOjoabUgmNjP9dVQWCrq7G+dVqkPE998BcWFGBf6uqhICFmhoQMIdKhcCCl1+WvrZ160DsCxeCrMSYPRv3yN0d92/6dBAmY0Q7dhDNm4egB09PQRPkr8K778L3lpwMjUeMykqQzfr1MKfyAIrQULwfGzdiHJ4r5eSkoJEjx9Ly5cv1C8OWlhZ9QmdFRQXV1dXpEzr9/PwoNTWVevfurW+xcLGRlpZGjo6O1LNnz0tyPqK2kaxOp6OqqirKycmh5557jpKSkkilUtGDDz5IN9xwA11//fU2EdvatWvpwQcfpFWrVtGYMWPo66+/pu+++46Sk5MpLCzMZP+XX36ZunTpQhMnTiQfHx/64Ycf6MMPP6Tjx4/r5eSaNWvopZdeorS0NINj7S3CK8ZlR0DmWmXn5ORQeXk5DRkyxOaxxKHOYr9Lbm4ulZaW0tChQ9s0V8YY7dixg8aPH29gdmhubtZXNB40aJDVFt21tbV09OhRmmyceWjHPDIyMigzM5N69OhBvXr1ktzvwIEDtGjRIjp1KoaamnQUEYFs/gcfhOAVIycHmsiyZdAUxKiuRt7J1q3YamqwWudOdK0Wwu3hh0E0gwcL5i9jjBgBLaSkRAhkaG6GEFyxApqTszPRhAkwc4kaNtKSJRC2Bw+iYoIUWlowxu7dRCdOwE9TVmbo6G+t+02pFDQ9qe94eLanJ7SSggIQuLc3yEmhwHeRkQh6ePRRIUKQMZjfTpzAvfHwQMj11Kkww91xB8yYUn3AGINPaP58EK6nJ0hr/nwEjxQWYi7NzTCb/v47CIvXq/P1hZ9v0iSiG27AwoAI70O3bqidFxsrBII0NRGFhobSyy+/QrNmzTJY+IjLBanVatJoNOTp6UlBQUHk5+d30f0bycnJ5OrqSt2NY/QvIo4ePUp9+vSxqYeWNXzxxRf0559/0g033EB79uyh+Ph4SkhIoL59+1o8bsSIETRkyBD68ssv9Z/16dOH7rjjDlq2bJlN5+7Xrx9Nnz6d3v53BbRmzRp6+eWXqbKystXXY4zLxgdkrZyOvUmfTU1NFB8fTw0NDSZ+l/ZIICUiydYOVVVVFBsbSx4eHjb30mlLEAKvatDQ0KAv5GmMtWvX0pNPzqKWlhb9StnVFYJ9xw4ItvBwCL+oKKJ+/RCui7lBK9m9G0KnqAgresbwXUQENJBduyBUn3kGPoyUFJjRZs407xMiIkpIQGSZOChIpcKqfvp0EMZnnyHyjNeAW7AA+TCffw5H+3XXQXCePQvBe+wYzl9cjOvgj8fVFdc2bRqE+I4diJTbvh2azTPPYL684KhOZ/7/r7wCzer22wXN4JprEF3Wrx/urbFcHTAA2mJ2NpJbDx2CMN+3D0S/bBlIKzwchDtrFva5/348m5UrQWh//AF/mTm5rVDAPDdxIjS/+fNxzz74AOa9wEBoqaWlIE9XV/iEOOn07y9ddaKhQfArDRqEQI4PPoCv6rPP8mj27Nn09ttz6eabb6elS5dSUFAQOTs766PeGGN0+PBh8vb21jeVc3BwMGhX3lpTjjl0hA+oPUO/tVothYeH04cffkhE6EdmTXvUaDR0+vRpmmO0cpw8eTId5QltVsBznYzPVVtbS926dSOtVkuDBg2ixYsXt8mSdFkQkC25PUql0qRlgTnwpnH+/v4m2f58rPYgID5XnU5HjDHKzc2l9PR06tmzJ3Xv3t3mlZ04h8eeHws3LfJovmPHjhlEwf3111/0xhuvUWFhMYWHY+Xr7Ex0551YAefng1T27TONLFMqIYTefBN/82oG990nmNAGDoTAzM2FUHzhBfgMli2DBrNyJchj1Srsv3QpVtQc27ZBqN12m/lrHDwYhPbBBzAPffwxSGLWLKy8m5qwYq+rEzQRZ2doSnfcAWHarx/+7dpVENrBwXDYb96Me8Drum3bBl+XsXlKjD//BPnMmYNrysqC4/+776DRDR0K4WzsYszIECo+cKf/k0/iu5wckM3Bg3geq1ZhUygQSSd+Li+8ALMlJ0VjkuSb8TPli4rSUjxbhQKLh3nzMG9raGkRIhY5fHxgRnzxRSxSPv9cQ+vW/UX//PMXhYdH0P33368v8c9/D507d9Y3i6uurjaphi4OaGhLcjZRxwUhtNc5jcvw2GLWKysrI61Wa9ImOygoyKSdtjl89NFHVFdXR/eJIoOioqJozZo1NGDAAKqurqZPP/2UxowZQ3Fxca32sXU4Adma22NrBWveQ4c3jZMar70JqKmpiTIzM6mystJioqelMfj8bXlxzfmXOBmuW7eO3nhjNhUUgHh+/BFaxnvvYTV8552G+TYtLTDzFBXBqf3kk/i7Z08IV0dHHPPtt6YCiAjCmwg+FCIQwP/+hy0lBRrU999jdR0QANPcokUgKCcnfM7R2Aiz0YkT8ENkZEBbqagQQrGJQDxE0MYcHODIHz0aRBMebqhRGePPP6Edffghjh0yBOf87jtEsg0cCO1rzRrTPKHaWpBfVBTK6xBBK1u1Cr6aFSugmfGcnZUroc3s24drE/l0iQhEcfo0SOboUdyv8nLxs8a/XHPt2hX+Nh6K7eJi2//nzAFp9ukD7SssDPdw82Zszs7QjIYMQQj79OlCVQrxeyJVplCnQ1Lvjh3wh3l6QtPKyMigd999l/7443f66aefqX///gaVEMQVqjG+0HI7MzOTGhoaTPKP7BXsl6r9AwcPnmqvc7YlCs5Y9tlabun333+nBQsW0IYNGwz8TSNHjqSRInPGmDFjaMiQIfT555/TZ+LCh3agwwhI3LfHlnI61kjDXNM4KbRX2DMRHjIv9DhmzJhWleCwVkZHDEtVDQ4ePEgPPDCdiopKqVs3CNAZMwQh+tpr0CYefRR+EP5bdnREkEBdHcikrAzCdf58CKtFi+Dk54mi33wjCCeex/L44xjDGH36IPJr6VKM8cUXiMD69FPB/DNoEIRufT2EoljoBgaCCMeOheDt3h3+qltvxebkhMizjz9GJexvvrFMPkQgmdBQmLaEZwDivfNOfP/jj/BzffUViJRj2jQQ4S+/QGiLERyMSLQ5c0BIH32EkO5u3YTab2o1znP6NMKoa2pI33LCwwNmvLvuwr/XXAONMSoKhDB/Pkg5IgLP0RZrlU6HkPBz56DpzJ+PaMWkJEQHqlQIKIiJITp8GCSycSPMkR4euN/XXYfzNzfjfq9bh/1OncI11NYK2menTjjfkCEwwfbvT5SVlUljx46mUaOuoyeeeMIsiRi33G5sbNT7jgoKCkir1RrkH9niP7rUGhCvSN+eBGTvgjYgIICUSqWJtlNSUmKiFRlj7dq1NGvWLPrrr79oknhlKAEHBwcaNmyYPtKwNegQAmpNOR1HR0ezpFFSUkIJCQkUFBREffr0sfrw26ONAmOMLly4QI2NjdS5c2caOHBgq52pthIQr2rg7OxskEC7fv16ev312ZSfX0hhYcg1mTkTwkUMZ2cI1BtvRD6OyD9JP/yAUGA3N5ih+Eq9Xz8I+IULEY32++8wUU2bBmH/5JMQctxURwSN5ehR+GSSk+HzKC6GoOJZ+VxgNTYKK/PbbhNIhju8pXKE/+//IAznzwd5LV0KYf/ttzC9DRgAAhAnxHLs2gUtb+VK6SoIgYEg7lmzUAR1xgyQyqZNMI8dOgRNxzgWpqICodlJSbie8+cx/6oqmChzc0Gojz2G/cPC4HcZNAhEM2gQPhO/QuvX4/hXXgEBzJiBiLbVqxH8sWgRggvMQaPBuCkpQi4SEQhk4EAQS04OSPfOO/FdczP8cseOgZQOHRLMgQ4OMFPyxW63btBeeaDJ4MFCUMS6dRhr6VKY95YtI1qx4jAdP36Ebr/9blq1apVVf4+Li4uB/4g3L+T+I+NuulIJ5ZeagMQyrT1QX19PXbt2tesYJycnGjp0KO3atYvu5A+WiHbt2kW3Wyg18vvvv9Njjz1Gv//+O02bNs3qeRhjFBsbSwMGDLBrfsaDdAiamppYQ0MDa2xstGkrKytjmzZtMvisvr6enT17lm3evJllZ2fbPFZpaSnbvHmzzfsbb7W1tezYsWNs27ZtbNeuXez8+fOtHotvGzZsYGq12uz3WVlZbNOmTSw+Pl5/3+bMmcOcnZ0YETFXV2KLFxNratIvwsxu995LTKUidv48Ma2W2H33EVMoiF17LbGcHMvHnj1LbMwYYkQ4hp87NJSYpyfGJRI2Z2dikZHEbr6Z2AsvEPv4Y2LR0cT8/Yl16ULs/feJBQZi3y5diK1ZY33+nTsTu+Ya089LSojNn0/Mywtz69GD2Pr1hvv07k0sIIBYQ4P182g0xN57D9fk4CBsI0cSi4jAOB4eptdMRMzJiVhYGLHRo4l1747PgoLwr48Psc8+s37+vn1xb4yf6alTxEaMwFghIcQOHTI9tqaGWNeuuA/ff2/6/V9/4fj775c+94kTxO64g5i3N/ZzdBTuKxHuQ3AwsUceIZacbHr8+PHE3N0N537+PLEHHsDxbm4qNmfOHFZZWcmqq6vt3iorK1lOTg6LjY1le/fuZRs2bGA7d+5kp06dYpmZmUytVrPq6mq2e/dulpWV1apztGYrLS1l0dHRrKqqql3Gu/XWW9n7779vt3z9448/mEqlYt9//z1LTk5mL7/8MnN3d2fnz59njDE2Z84c9uCDD+r3/+2335ijoyNbuXIlKyws1G+VlZX6fRYsWMC2b9/OMjMz2dmzZ9mjjz7KHB0d2fHjx+2eH0eHhWG3tLTYZQZraGigAwcO0JQpU0ihUBg0jbMl4VKM+vp6OnTokEGSla2oqamhs2fPkqurKw0cOJBiY2Opa9eu1EXK/mQHdu3aJWk65J1ZCwsLacCAAdSpUyfSaDQ0ffp02rFj27/7CPuLS7V4ecEkEhICP0Xv3jCJBAQIK+7GRqyC77sPpqasLGgsvBROeTlW4Y2NQikcY/BcmttvRz5M9+44X/fuOL+xYvj338iZ+fZbmO6amlC4dOlSnNvfH/krr71mGo0VH4+5f/45tDgp1NbC5/Tee7iGoCBoTSNGICLvvfdgZiPCdZ46BdNWWho0l6IiaDSNjZibcYFRrRaBBt26wezYpQvuMf9/ly6IFlMoMEZAADTJI0eQHLtgATRDHx9c55tvml5nbi7u4bx50mV/GEMI9auvwmQ6Zgzua2Ag/u7XD+a+tWth0pPCs88iau+336BhnToFTWXvXuQEOTpCE77/fpg7P/oI2mB8PHxW69bBfEeE650wARrZddfBfHf77dJ1806dwn4HDxL5+nrRe+99SPeL7aGtQHNzs0H+UUNDA3l5eVFdXR2Fh4dTaGjoJdGE6uvr6cSJEzRhwoR2Ge+OO+6gu+++m56VqtRrBatWraL333+fCgsLqX///vTJJ5/QuHHjiIjokUceofPnz9P+fzsnTpgwgQ4cOGAyxsMPP0xr1qwhIqJXXnmF1q9fry9jNnjwYFqwYAGNkjI12IgrhoA0Gg3t3buXJk2aRCUlJZScnEwhISHUu3dvu1+spqYm2rdvH02ePNnmYxljlJ+fTykpKdS9e3fq2bMnKRQKOnnyJAUHB9utJhtjz549NGzYMPISefl5J1Emqmqwfft2euihB6impp5eeAFFNT09EYWWn2+45ebC3FRUJDjvObhTm5OD8Vvg6gry4MKVl8Lh/yYnQ3g++SSE57ffYoyRI+HMF+frGCM0FMdkZhqaCbVamJ3efRdCztMTZrAlS4S22tOmwYxWXIzoN0toaoJAfe89w6KlPj4g0sZGIUSbCHPq1AnE0r07HP5du8Jc+PrriKorL4fD3cMDkV+LF1tulHf//SCBkyeFVgw6HRz/CxeicoGnJyLbxGPdfTdMnbm50r41jtpaXOP77+PYmTNBRHV18LcNHChU+K6pEbbaWpDMDz/g+tzccIyjI3KS7r8fJlFxOR9eNPbnn4UyRMXFME+uX4/n0tKCZ6XRIMqwa1fMi0dViv+fmgrzIBGRs7MTvf/+B5KZ9q0BbyiXnp6ur5FortxNe4IvULmgbytuvPFGevbZZ+khXur8KkOHR8HZCh6OmZSURGVlZTRw4ECbMoKlwH1EtoZLtrS0UHJyMpWVldHgwYMNQiHbsy23eJzS0lKKj4+n4OBgioqKIq1WS3fccQft3LmdwsPhAxgzBg76l1/Gqvfee6XHZgwCb8ECCPaWFoFw+OV7eEDwT50KgrHUfqSlBVF1YWFw/ru6YqX+0UfwrfTrBy3lu++EvjUca9eCHH/4wdRHpVTiGu65B8JsyRJEqq1ciRX6p58imuzuuwXyKSiAv+nMGWl/k5hgOOnW1EAwPvMMriEsDH/zKgjGuOYaaJRffQVt5uBB+J+WLoUm9vLLuLfGr1JmJsjgkUcM+wA5OEC433orrnPBAoz16acg9CVL4Ie76y5D8qmvRymkhAT0B8rKwr0sKYHW29SE4AkiXPfTT5t/hsbg5BMQAC0qMtK0ltyIEXjWv/wiEFBQELTYIUMQnHH4sLDYSU9HyDeRECrOmGGoOH8mTU0amj37JcrPz6d58+bZPnEz4A3lMjMzaeDAgaRUKkmtVlN5eTllZmaSo6OjQf5RawsSG6O9o+6u5m6oRB2oAfGkU1tRU1NDR44cIS8vLxo8eHCb+mPwEjoTJkyw6gjljn8nJye65pprTPbndd568HTxVuLAgQM0YMAA8vX1pYyMDDp//jz17duXQkJCaOvWrfTIIzOppqaeXn0VzmducWxqgrBobjatG3bgAFb/hw5BIDs5QYO47z7UCVMqIUw//xxCvrYWzv+lSw0jxIwxYwbMNnv3ItlRjLIyhCKvWAGB1K8fzDxcS+/SBcLy3DlpYS9GdTWE3eLF0OK4sPL2hvBqbDQ0CTo7g0wiI2G+4mbA7t0RWtzcDAf+okXQSHx88P8XXjA/h127YIZatsww0IIIZDhvHghQXG2AE9HAgSChzEzTLq7G2LYN3WCzsoQCsMHBuF4eHWisxapU2Cc0FFpbejqIOCoK2oWjI4IEXn8dCwpXV2wuLsL/Z81CWPr27XgXtm5F8AhPVo6MhCntmWdA0NOmIUChvBzPZ+FCPKPSUszn7rsRaJGdDTLlIehSOHwYicBNTVi87NgB097AgQNp69atBtaA1uLAgQM0dOhQAyHOy91wc111dTW5u7vrycjHx6fV+Udc6xppKfvaRjDGaPDgwfTll1+2ukrK5Y7LnoDEpi+dTkejRo1qlxdzx44dNHbsWIu+o/z8fEpOTqZu3bpRRESEpLaUkJBArq6uFBER0ab5HDp0iCIiIigvL48aGhpo8ODBpFKpaPr06bRr1w7q3h3mttGjTY/97TeQwsqViCZ7/338uDnp3HILSGfaNAiixkYIzNdeg2AlglawejUSPvPz4Yd55RXTgpZnzqCm28MPw89iDpWVmM+HH8L8ExEBQfbhh4i+GzAA5pf0dPhd+Eq+qgrE1dRk6m/igpmbcF54Ab4YTjJBQdLVAb77DuHlq1cjBJ0xCNq5c6FN+PvDt/H446bHhobinJmZEMjGYAxEPG8eBLOnJ4iqTx9ocu+/j/tcVAR/SVwcyCE7GwsG8fVycD8Tl4H/+x/uHzeH8s3Pz/B6AwKwT1wczIQLFoBU3N1BBu+/b0r64eG4/tOnhc/UalzTzp0ghIICnMfbG+9PXh6qUqSnQxu+9lrcO+PcoaVL4XubPh0mYjEWLICm17kzwvuHDMG9/PxzELmLizP98stag95UrcG+fftoxIgRFn/nYv+RWq2mxsZG8vLy0kfXWWqXYIzS0lLKzs6m4cOHt2neRJB9vXr1ovXr19NoqR/+VYDLmoBaWlooKSmJysvLaeDAgZSQkECDBg1qlxpLu3fvphEjRpCnRGadVqul5ORkKikpoYEDB1psZ5CUlESOjo7U25LTwwYcPHiQmpubyc/PjwYMGEDffPMNzZs3h+rrNdSnD8Jk6+uFrp21tdjq62E+SU8XxuKazvTpAumI8emnMBsdPw4yEaOlBfb85cuxEnZzgwD85BMI15AQrMTT0019MI2NcObzHJPsbKzoT5+GEOcEYvzGOToK5WFCQwWHfufOwr+rV2PeK1eicsEPP+BY3jqBV8I2Bq9t1rUrBLPYOsIYggL+7/9ACkFBMCk+8AC+//prmLF+/FHoNmruHOnpmNvXXxsSp5sb7pf4VXdwgObCgzW6dYPm1q0bruXPPzHWnj2Yn0oFk93XXwsVs43xzTfwl61bZ1hF/NAhCPu9ezGXxx6DtsF9ai4uCOb46CPTMZubQULffQcNraXF8PmpVDh+wACEYPNyPpyEGMMihr9vn3yCe3H99QjImDYN/iTj9+jMGZhic3KIHnlkFn3CuxvaCcYY7du3j8aMGWOXiU3cLqGiooJ0Op1Bu3I3Nzez/qOioiLKz89vc51JPv+QkBA6cuRImyv3X67oMALiRUfNoaqqiuLi4vTRZs7OznTw4EHq27dvu5Ry37dvHw0ePNikUGhtbS3FxsaSo6MjDRo0yKqJLjU1lRhj1MdS7RYLYP+W8ElJSaEuXbrQgAED6PXXX6dVq74gxqSbrzk5YTXu7i4IuPx8CFeNBt9NnQptQ8oyOHiwUBjT3MKOMQiv99/HKlilgvArLsbx3t74v1pt3kSkVArEUlYGgeLjA+3I1RU5LbwNgaUFZm0txhk5EoJUoYBz/r33IHiJ4BxfvRpCXIxXXoE5cPduwzJAYmi1EPrz5oEwQ0KwEn/kERDDyZMgvdOnQbCZmQju4Mmzxr4m43sQGQltq3t3IXJOysKjVoNsJ0+GY58Ifq0lS5B/xaPSvv3W1KQXFIRnkpoqfS+PHYO5bPt23PuZM2FmveEGkNwtt4DwNm7EvtnZWOjw6+rWDT6ga68FYY8cCe0zIQFbSYlwLldXkEqPHvAB7t2L63jpJRBORQWuSSr6j6OmBma/X38l6tGjO+3YsdNqEqUxtFotHThwgMaOHdvqltiMmbZLUKlUBuWCxORWUFBAxcXFba60T0R64svIyGizif9yxWVHQExUZqZHjx7Uo0cP/Wrj6NGj1LNnT7tfRCkcPHiQ+vXrZ9CKm3cQDQsLo8jISJvU7vT09Fb3KRJXNXBycqLw8HBauHAh/fzzTzRxIoReVRVW5MuXQ5NxczMUXhoNhJZCgQCDlBQ4y//5ByQSHg4T0FNPCRqImxts/ytXms6pvh7Cev9+rEQzMiBoGxsF7UGrFbLkw8IMQ5DF/w8IEM7p6wsz0tGj8BksWgQSCQ6GGfCRR8zfp9tvh0COi8NqW4z8fBDRV1/hekePhnbUoweILjgYQlZcT80YBQUIDT5zBgIyK0v4TqUyDNogQnh7t244B0+Y5RqMtzfmOH48TEkLFiCh08MDAnXpUvO+r8mT4S9JThaqYnNkZOA+/fgjnvX48dCWunWDkJ45E/d1xgzz19nSAlPY3Lkwo3GfGjfLci0tNBQEM2yY0D5DrKWEhkKjjIkRPquowLyTk6EBx8eDrHkQApFQf06lQrQhrxTu7Y3x/fyw0OjUSYi4PHQIVTmUSkdatepbutuWJlH/orm5mQ4dOkTjx49v1+KgVVVVekKqqakhd3d3PRnV1dVRVVVVu2gstbW11KVLFyouLm51wNXljsuKgMRN46655hoTU9vx48fbJeeGiOjw4cPUq1cv6tSpE2m1WkpJSaHi4mJ9ro2tyMzMpLq6OrtfuNraWjp79iw5OzvTNddcQ7GxsTRv3jw6dOgQPfkkMs/VatjWN26EQNq719TUNH48fqR79hgGBBQXQxB/+SUEvZsbHL6jR0Mwbt4MYbBvH1b2GRmCNsPfCF9f5A0NHIhzxMdjPj//DGE1YgS0DmvWx1dfhfll3z44pYlw/O+/Y1WemQmyWrgQuSliJCVhFf3444aVG4xRWAj/1apVwtyUSsz755+xmk9OFrSXsjKYLsWClwhC0ssLK3AeseXoiJDrWbNANJaCkiZPxnNKSsJ9YQzBIO+8I/hjZs3CXMVVm2JjoV28+CLMgObAW3R/8w3mNmoUzJ0KBUx0aWm4xpwc3JOyMkFDFZc54tfKI9GIQDirVoF0LOHee+G3qaqSbnnOkZYGX+GpU0JQRUkJgiT8/YW+STws3JJFnq8FBwy4hg4dOmR5gv+iqamJjhw5QhMnTrxoLR+am5sNzHUNDQ2kUqkoNDTUbv+RMYqLiykyMpLq6ursynO8ktBhBMQYI43IZmPcNE6qptqpU6coKCiozTk3REQxMTHUvXt38vT0pNjYWHJwcKBBgwbZHV2XnZ1NVVVVNMg43tgCuKbVrVs3ioyM1Jc2z8jIoHfegbAS5+esWQM7vU4Hs9rzz+O7Zctgxlq8GOYjKWRmQmD9+KOho5uvfomEVfuAAYha4xt3fWk0MJ1NmgQyLCmBz+Dzz/Hd0KEgon79TM9fVwdymTABfgRjaLUIVV6wANqbry9MPK+8AqHTpw+0nKws6Z5C5eXwZZ09i+MTE6Ep8dW2sWnM0xMkLva9dO0qhGN36QIfRUwMxjlyBNpaXh60u48/NmwdLsapU9AcXnpJ2qdy5AhIdtcumKkeegjmQRcX5MyUlgpN/cTQaDAXnjCbkQHhnpsLkmXM9Dq9vaFBdO1q6Ffj2+HDWBh88QXu1e+/4zMiPPfbb8c7JdG7TJ9IvGcP7pUxDhxAgEhSErSdJ57AuTw9cX/y83Et4veFMQRjVFUZbqWl8B+Vl0NDUquJXnzxJVq8eLH0QxChvr6ejh8/3uZOw/YgLS2NamtrydnZ2cB/xDUkS/4jY2RlZdG1115LjY2Nl7Sg6iVFq2sotBE6nY41NjayhoYGlpSUxDZt2sRSU1MtlueJiYlhKSkpbS5709jYyA4ePMhOnz7NNm/ezM6ePcvq6+tbNU5aWho7cuSITfvW19ezM2fOsM2bN7Pc3Fx9iaGwsFCmUBD78kvzZVmysoiNGoUyJiNGENu7F+VRbryRWFkZsb//Jvbaa8QmT0aZGG9v0xIxbm7ElEqUiSEi5uJC7P/+D+V4LJWEee017P9vtwf9VlpK7K23MK6DA7GhQ4nFxRnuc++9KN8SH2/5HFotsX/+QYkdIsz/3nvx/7vvxnnuvhvnCAlBWRjj6+PlYUaOxHfu7rhGBwfck1OnrJe/2bMH+//f/xmW5Pn+e5TWIUIpoF9+MT02PJyYnx+xigrL5zh+nNi0acIzuO46/P+GG1DaZtw4Yj17YiwXF6H8Dd+8vIgNGEDsttvwDgQGohySUolSQ2fPWr/OLl0w339rATPGiBUUEPv8c+E94/fzmWeI5eUJ+zU34/6+/bbhmD//jHukUOD5LViAd8T4PQ4MRAmjwkLLczx8GOMoFDhXQwOxe+7B37Nnz7ZaxqagoIBt2rTpkpXhqa6uZqdPn2anTp1i1dXVrKqqiuXn57OEhAR24MABtnHjRrZt2zZ2/Phxlp6ezsrKyiyOdeTIEebt7c10Ol3rBe1ljg7VgGpqavRN46655hqDpnFSiI+PJzc3tzaHPOt0Ojp48CBpNBq65ppr2uRTysvLo8LCQho2bJjF/aSqGhQWFtK11w6mqqpK+uMPw+gljqIimI7OnYM288svhvk+PAGRw8MDq+m+fWEC6tULW0SEUHU6LQ3RTcuXY5Xq7g5TyQcfmJpUdDqspocNg2lJCmo1Ip0+/hjmnoED4Z/o1AmaxowZQtQaR2UlzE782ngodmkpfDLiaCu+ulephLJC3KEv3kJCsM9XX8Hf8tVXuKe8+rZGg6i/H34wbzYMDoZWkZ6O+yJGSwv8LQsWYL5BQfA/PfywEIXGywsZP8Pjx3G94hDs0lIhcEPcWTUwEL4lrqUZbzxwc9EiaMvR0Sh/8/HHQqTZ0KG4TqnGmRs3QsP57juYA6WQl4eIut9/R2sMBwdc7733QuseMgRJ0Pv34z36+GO8W2FhCC545BHz5rnYWCRRu7nhXkiZNF98ESbXTp2QvHzddfi8uRnRndHRRK+//obFpNXq6mqKi4ujseba5V4EWGoBzv1H3FxXU1NDHh4eBvlHYk0nJiaGHn30UcrLy7uoXWM7FB3FfA0NDWzr1q3s+PHjrLa21iYN4syZMywuLq5Nmo9arWZ79+5lmzdvbvNYvEjo/v37Le5z4cIFtmXLFnbq1ClWV1fHGhsbWXR0NHNyUjIiYoMHExs7llhUFFac3t7Cyp3IdJVv/Pd992G1WFJC7N/eeCbbd99h/6++Ej7T6Yjt2kVs0iShgOYttxC7cEHYZ8kSfLd7t/VVdUUFVqpOTlilOjri2AEDrBfvdHYm1q0bCp3ef79QwHPAAEF7e+cd69paQwPOMWSI4eq+tJTYnDmCpjBqFLF/Axj12/z5ONe6dZbP0dwMDSgiAvv7++NaXV2J3X47nmfnztLFWZVKaHDjxhF7+GFi/frh8+uvxz1zcoLmZ02LamjAPRk71vCZl5VBW+TXOXw4saQkw2O7d8f8bClcyxiKiH74Ia6L/i1Cy99DZ2f8O3AgsbVrcW9sGXPPHtyz8HDDY/LzUUSWCO+11H3QaKD9OTgQmzdvnlkNIjc3l23btu2SakDHjh1jcXFxNu1bVlbGMjIy2IkTJ9j27dvZhg0b2P79+1l8fDzbsWMH+/PPP1lkZGSrNKCVK1ey8PBw5uzszIYMGcIOHjxocf/9+/ezIUOGMGdnZ9a9e3f25Zdfmuyzbt061qdPH+bk5MT69OnD1q9fb/e8jNFhGhARUWFhIfn6+trM7mlpaaTVaq32QzeH4uJiSkhIoC5dulBzczO5u7u3WZsqLi6mzMxMyUQxxphJVQMiosrKSgoNDSb2r+1eqYRTNigIq/jgYPxfavvhB6wwlyzBCvStt4TQ4VWrpLuLtrRg/LAwrD6lzMnx8dAUfvsNmsfgwfAP3HQTtI1Tp+DPiY3FvmlpOG9BAXxCvPSN2NHNfa86HfwQw4YJSZRif4S4eCcRfBuRkQgNXrfONNHztdfwt5Rv99574aM4fhznM0ZpqaARNTcLGlFQEHwmo0cjCpDPRaOBf+nMGcH/cuECxuEh2LyCEnfq9+iBZyOlpXXpItz/6mqs8MeNg0aakoJySL//Dk1u2jRoKVK5P7waxalT0kED5eXQhj7+GNcwZAius7QUfptPPzWtAFFWhueblAQNMCcHz7e0FIECUoEMHLwIrqsrgjiCg+F/6tkTfrxBg6CNiSMA165FKPjw4Xhe338P/6ZCAe31wQfNtx3XaFCqaNs2onfeWUivvPKKyT7tWZXAViQkJJC3tzeFSTnPrKChoYHUajXl5+fTXXfdRU1NTeTs7EzLli2jSZMmUWRkpE2ycu3atfTggw/SqlWraMyYMfT111/Td999R8nJyZLzys7Opv79+9MTTzxBTz31FB05coSeffZZ+v333/VRhzExMTR27FhavHgx3XnnnfTPP//Q22+/TYcPH6YRtrTTNYc2U1gb0NTUZJe2kZiYyE6ePGm3liJu28BbJ5w+fbpdNKALFy6w3bt3m3xeXV3NDh06xHbu3MlKS0sNvuvbty9TqYg98QRWgU5OxB5/3PrqMTERK+qJEwVNoLmZ2OrVWFXzFgT79hke9/jjWFEePGh5fK2W2ObNxPr0MW0tIKW1uLrifBMnEnvoIay8V64ktmEDNDlfX2ILF8Jn4eBAbNAgUx+R1DZoEMYWa2JcW+NtCDw9MbZYI0pIwP188knr5ygpIfbmm1jBOzgIK/l+/XBNvr7m/S/9+mEF/uKL0KocHaHR8Pvm729bu4VbbsG5jTWUtDTcTwcH3PdbbiFWXCx8f+ECPp850/o5ysqIzZ0rXKdSKfgRuVbq7i5oq+LN3R2+KP58586FjygkBN/PmIH74+ZGbPly+Arvvx/aZUiI6ZgKBe6pjw9aRXB/Hv2r4RLBP7R6NfyNiYnEcnOJVVVJa76NjcSmTsV1vfvuuyYaRlZWFtu9e/cl1YAOHTrEUlJS2jyOWq1mr7zyCgsLC2PXX389c3JyYmFhYSw1NdWqXB0+fDh7+umnDT6Liopic+bMkdz/jTfeYFFRUQafPfXUU2zkyJH6v++77z42depUg32mTJnC7r//fqvzsYQrioBSUlLYsWPH7DqmoqKC7du3j+3Zs4eVl5frP4+NjWVnz55tMwEVFBSwHTt2GHxWVFTEtm/fzmJiYlhNTY3Bd88++6yBKSwzE45V/oP/8EPzZp/AQAg3KedtUxOEf2Agfuh9+hA7eRLOYycnmDPEZo6ffyb23HPo2xIWBoHOhRMXFvxvbk6bO5fYjh0QDJWV5s19f/yB4774An9XVoIsPDyEYIXEROlj//wT53v/fenvdTpiO3fCtMSJaNEiCKiePSHcysqE/XNy0Ptm3jzc52uvFXoX8WAMIkPh3LMnBOmbbxJbtYrYli2Yb3W16XyuvRZC9cIFzOHvvwWzmq8vnqeU8ExOxj199lnz5JGRQeyxxzAvR0cI2/x89BhycoJw5s/++HHM9bnniE2ZIvQScnc3fa7cfBYaisCOF14Agfz8M4JbUlPRT0hqTlOm4Nj33sPf69ZhbsHBpuYyrRbEefo0FiUrV+IdevBBELaHh2CWVChMyd544++kSgVCdXUFcXGiu/POOw2EeEZGBtu7d+8lJaD9+/eztLS0dhnro48+YpMnT2aMMVZXV6eXM9ZkqlKpNDGPvfjii2zcuHGSx4wdO5a9+OKLBp+tX7+eOTo6Mo1GwxhjrGvXruzjjz822Ofjjz9mYWFhFudjDVcUAaWnp7PDhw/bvH9ubi7bsmULO336tN73wreEhAR26tSpNhNQUVER27ZtG2tsRERfWloa27RpE0tJSTGJ6NuwYQNTKiHcjIX30aPEhg0TGpdt2mS6WiYitn275RVvXR2xDz7Aj1vshwkLg0AUC12+Wh8zBlrSBx9AUKSmEps1C99v20Zs2TKMp1QiYkusmUhpUf7+EOIajeF33EfEo/FGjDD0wzQ3w/8VGWndP6HT4V707Ck0TONCPzgY8zVegTs64j6MH0/s0UcRpfXDDzhnp07E3nhD8J2MHGnqIzLetm/HPV60yHRuGzYYRvQtW2ZIRP36YY7GUWJS29mzgubHN2dnkK2UlubpifFvuYXY88+DzNeuxTX6++MZeHqCiPr3x7tnbQ6MEbvzToy/YIHh59u24b0ytzgSbzU1xF55BfvyuQ4ejGvgPjU3NxBVdDTm/dNPxL79FtrXhx/CLzl/Pp5Xr14CwTo5KVheXp5egKenp7P9+/dfUgLas2cPy8jIaJexFi5cyO666y67ZGp+fj4jInbkyBGDz5csWcJ69eoleUxkZCRbsmSJwWdHjhxhRMQKCgoYY4ypVCr266+/Guzz66+/MicnJ7vmZ4wObcegUCiIMdtdUJbacouh0+koPT2dLly4QP369ZNMXFUqlXb1IzIHPo64qsHQoUPJz8hwX1ZWRv/7373UowcipYxNuaNGwQ6+bh0SRW+7DTbztWth59+yBb6PKVPgZzh/Xois4gU9eRuChgYhokqrhX0+Nxe+hvHjERXXuzf8LEaViIgIUVs//4wIsqlTsT35JCK+VqyAb2PaNOQnGR+/cCH8D1LtFnx88D3Pk/nkE+SCjBiBQqvLliH3459/kKTZ0mKY/3LuHK5Dyv/CX6PqakRVzZwpVCngW3Cwqd/ovfdwzt9+Q827118XfET9+iE59Icf4McwxkMPwZ/12muGnysUQruFrVsRqTZ3Lq7vtdeQ3JucjJyugABc04kTQqFS3hSvulpoBGiMlhbM+6GHcP94JYawMPhgjPHPP/DVffEFcspefRWVMD74ABFpvXrB78IThY0xcybGeOMNtCQXY+pU+LBuuglJpnFxpiWR9u6Fv/LMGfjeRo7E87/nHkTRJSfDB/bzz/DvLV+OyM0ff5Rura7ToT7iuXNIwJ4/n2jSJEb33Xcfbd++nYhsb7fSnmjPdgz19fWtbsVg7CtijFn0H0ntb/y5vWPahDbRVxuh0Wjs0jZycnLY3r17rZrc9u/fz3bv3s3KysrM7peamsqOHj3aZg2ovLycbdiwge3atYsdPHiQVVVVSe4XEdGTOTvDT2FtpVlYCPs6GZkgeP6E2KRC/66Ge/ZEDtBTT2G1/dNPWM1HRGA16eKC48aNQ1STpfOPGYMVbXa26XcXLkBb4n6TWbMEbaWuDuccN868eU68pacLEXh8c3BA/ourq2nEH1/Z3347sZdeIvbJJ2i5PWoUVtCffy5okd7exJYutRw1V1OD84wZYzrf0lLcN3E0mbj19MKFtkXMabU47plnpPOybNXS9u6FhkoEjevll/GMlEqY5Kxpa507w+9irFnW1EBD8vPDPezZ01TLfuopnPe55yw/1+PH4SNzd8c119URe/VV+Jn483vxRdPfwDPP4L3mfzc2EluxAnNycICGJL73paWImCQi9vrrgu/07bdxDT/99BOrrq5mSUlJ7PDhw5dUA9q+fTvLyclpl7Gef/559swzz9glU2UTnB2wl4Dy8vLYrl27zH4vFe5sbjt37hw7dOhQmwkoLS2NRUdHs7i4OLPJrA899BAjQjJjXBxCeOfNI/a//8GkFRkpOIOlnP1cMDk5wcH+/vvwlZw4ARu7lFC47z4cd+gQ/i4uJjZ7NsZwdITgz883Pe7AAR7ealmgpaQIJhk3NwQg3HcfBMCZMxA+hw/D7v/88/BfDBggmMfMXadSifM//DAIZdMmJLFWVZk3TymVxJ5+Gn/rdDAJXXutQETLl0sT0S23YL6WAiOkwppPnhSIVqPB3199BQE9eTL8b1L+F6lr7d0b78PRo3ge5ghTq4VAjogQBG5REQQwX1wMGya9wPn6a5xPKnmWb3V1EPqdOuGedOsGE9grr+Dvxx4T5lZXB//UwYMwkX3+OULkn3sO94SMfE3DhxNbswbHSZ377rvx/ht/Xl0NsuX3cdw4EL6HB675jz8M929sxP308HBhJSUlLCEhgR09evSSEtCWLVsMzIBt2R555BH22muv2S1Xhw8fbkJcffr0sRiE0KdPH4PPnn76aZMghJtuuslgn6lTp17ZQQjNzc12CfvCwkK2fft2k8/r6+tZfHw827RpE8vMzLRprKysLHbgwIFWE4+4qkF0dLRZwnvttdf0K3tjAeTggB/84MHE7rgDP+ClS4n9+CMivqKj8cN77DGhKoCbG1Z6llb2J07gOKlosIICOJ0dHbHdfDMiwvj3oaHwQdXWWiagCxcgDKZPN7w2pVKIKBNvHh4QDlOnYl7vvovr3LtXyL9ZsACajUplmSTFW3g4/D7l5Yaf63TEtm5FPhAnovfeE+4bJ67nn7c8fl0dSHnhQjwr8TXxfCfxZ15e8Kvcdhuu5eOPEZhw6hSCBlxdod3s3YscHiII2NdesxwFyTWuDRtMvzOuSDF4MBz/nLh8fECKlt6Z0lJEQL7zjlDxQfxM3dxwvVLvsfE7LSZdlQrEaElTHD0az9Hc9xkZWKTxuRBh4bZ+vek9O3YMz2TSpEksLi6OHTt27JIS0KZNm1hhYWG7jHXvvfeyhQsX2i1X//jjD6ZSqdj333/PkpOT2csvv8zc3d3Z+fPnGWOMzZkzhz344IP6/bOyspibmxt75ZVXWHJyMvv++++ZSqVi69at0+9z5MgRplQq2fLly1lKSgpbvnw5c3R0ZMeOHbN7fmJcUQRUWlrKNm/ebPBZZWUlO3DggFWTm/FmiznP3MYj6/bu3ctKSkpYdHQ0q66ultzXz89Xb2ZRKrEyP3QIRCBOlJTahgyBcOLC9cQJYYXp4wONSmql3LkzVuCWkhlzc0EEPKrojjuILV6MsX/6CRrOTz9BMN52GxzqwcEwo0iZjYyF0C23QBNJTDSvvXAB7+4OocnvR14eiIGT5JQp0s7tFStwvtWrzY+v0yGKjSdR+vjAlMWJKzMTRLVkCcKauTD08ZEmUh5Awa/TzY3YRx9Z1tL4xsvIiEvlHDhAbMIEgYheftnUTNbUhPNImQrFm1oNAhEHGPBgkpUrif36KyL77rwT71aXLuZLGgUFCdoo12gmTMA9X70apLprF8xuqal4n2trMT8fH4wfE4NFlY+PcH0334z3WDzvHj2wv/izxESYIDt3Fu43N+WFhAif8Qi8W26BltXQALOfgwOxxYsXs927d7Ps7GxWUVFx0cmnqqqKRUdHs+Li4nYZ75ZbbmEffPBBq2TrypUrWbdu3ZiTkxMbMmQIO3DggP67hx9+mI0fP95g//3797PBgwczJycnFh4eLpmI+tdff7HevXszlUrFoqKi2N9//92quYlxRRGQWq1mGzZs0P+dl5fHtm7dyk6cOGFzNQXxsZbMeZaOE5v5GhoaWHR0NKusrDTZ98yZM8zBAVpNTAx+fNxn87//WSaIEyfwI1q4UHpl37cvxgoNhSDg3/O6bZZWnFotVpU//wyhaxyObLzKdXGB6WfKFMHH9NtvxI4cAVn89psQOr1+PTQdIgixX3+1LJRvugnH8hW7eLtwAWHKnIimTRO0tbo6COVhwyyv7LmmNn++aX6TVFWJ4GD4lGbORD24b75B6HlaGrH6ekRdeXnBfzV/PoSquTp44i0rC9fw2GPS3x8+jLp+RNCSnn1WIKKHH8bnxoKbb83NILVvvoF2O3EiGSx6jEnUyQnVEG64Af68xYuhje7fD7+fRgPTHhEqFqxZI1SmCAqSXvjwjZv71q8XPtNoYEq97z7hXfP3B8Hk5OB+Tp4MjX/yZGirnPRGjIAJNSkJiyIimPxqazG3d97BoowvFpRKmCpxnY5s69atbPv27Wzjxo3swIEDLCEhgeXn57Oqqqp2J6CKigoWHR1ttcabrduECRMkieBqwhVFQHyFUVdXxxISEtimTZtYRkaGxQKm5jZz5jxzW0NDA0tMTNSfU/zdhg0bmFqtNjlm3LhxzMXF0DwUGysU6OSlb6RW93364IdoblXd0gLndHAwxhowAIJSpSJ2660Yc906mGbuvBMaQHCwdNKhq6sgGHjo9jXXWC/vw4WftzfKCPGw65YWkBIvqRISgkKjxsceOgTh/fLLlkkqJwdJu1xbu+02QVivWwciff11Q03NXBh2ly7COPyzRx4RBK+lefz8syAAxVrH228LRDRkiDQRDR6M+2wtTPnYMZgp+XN5+GGhdNBnn0Frvf56EKG/v3SwhocH3h+uMfj44Ln6+sIPZC1ApLkZ1zNxouFnv/wimMICA6WL5wYHI5DB3KKgqgrv7dChhnPmpkwXF7yvP/xgmHzLGLFz57DPxx+bjtvUBD/aM8/gfvBn36dPH1ZVVcWKiopYcnIyO3z4MNu0aRPbsmULi4mJYWlpaay0tLRdCKO8vJxFR0e3m7Y1bNgw9vPPP7dWvF4R6FACamlpsYs0amtrWXR0NDtw4ADbtWuXSYUBe7bi4mK2ZcsWm/atrq5mhw8fZjt37mQlJSUm32/evNlkLkVFRUylUrDnnpP+IaalYQXIkwwnToRWwhgqGSgUMBVJHavVYkX9xx/QeAIDDX/IxqtelQpkMHkyfqDvvYcghpMnYfvPzcU+DzwA0wcPLnBxQdSSJd/EI49g3/37pQXZDz9ASyOCY3vnTuEagoIgsKQSPLlQOXECgu6554TkU3M+Na6pTZ6MoASxpsYd/NOnY99jx+BP4bXmfH0tVy/gvpSoKOn7wc1fPNl20CDB1MbzhZYulR67pgar+Q8+wP0cOxbz4dqo8fP09QXR3nUXzE2ffYZriY0VtOqaGmgF06YZBhjw52BJQ37lFex35Ij0wmftWtwHrsmsWIHvNmwwNYk2NMAE+soruK7OnUGa5vxHXbpgQWJMPozhnScSkmDF78miRUI1EEdHaFs9ehDz8vI0EeyVlZUsNzeXxcbGsr1797Lo6Gi2a9cudvr06TaZ67g5vr20q759+7J//vmnzXL2csYVRUB5eXksOjqaHT161G6Tm/FWVlbGNm3aZHU/S1UN+LZ161ZWXFxs8NmMGTOYQgFTjbXV/QsvCCG1w4fjh+TmhkoCL74IM1X//hAgUpFVKpWwsudmiE6dIGQKCqwX8BwxAsJKnGB66hQEOfd7vPWW6TgZGfixP/CA5fGbmkAiQUEQEJGRQvWHuXMheB991LANgaur+QRLpVL43tERSaMZGdZX9qmp2P/RR4XPdDqYfvr3F4S7WMPh2/PP43trRVkrKhBMISYiPz88twULEF4/ejRIwJyfKTAQpsXrrsO1ck1SpUISs7kqBeKNa9niqLjGRjwHXv6mSxdodcbPys0NASCWxudVHziBe3sLJZemTMGcuS+KX5e/P7S3V14BSZ08KQSdJCRgwTBwoEBGISF4/7nWmJuL7959F38fOgRS4/cwKgpkyCthLF+OcaxVJigvLzcpCtoac11hYSHbuHFju5BPVVUVCw8PZ7t27WqTjL3ckJ2dbaj5MsYYdRB4Aqc1MMYoMzOTsrOzSafT0ejRo8mT16RvJRoaGujAgQM0ZcoUyWQqxhhduHCB0tLSKCIigsLDw80mXe3fv58GDhyoTz7V6XTk7+9NkyY108aNpvvrdEigO3YMiaRpaUICooMDEWNCgiUR2gKEhRm2gBa3gQ4KQvLkG28g8XHHDhQmZQyJhT/+iCKYUjhwAMUp589HmwFjHDmCJMpDh1AI9K23cB4HByTK5uaiQGdwsOmxajWSZc+cQZJhejr+z5h0s7iAAFxPz57SbQi8vNBc7803kbg6YgRaEvz2G5Je77kHXUHN5e716YM2A5mZKAIqBmNEGzYgCTIpCQVAFy9Gh9aSEhTWvOkmtAEwBm+3cPYsnmNWFu5LeTnGFT9P3tagRw+h3QJ/puHhOI+zM/bt2xctKs6fx3iLF6PQqrMzrvWrr6SvtaAAYz3wAJKFjdHcLLRFP38e92LxYiQbv/giGg0eO4b7y9HSgiK0J0/i33PnhKKsNTVIllUocH1aLeY+apTQ6HDAAKHBoRiRkbg/GRnCZ5mZuM4//sA9dXDA+zVpEp77kCEolFpejpYOM2eircSwYYYJ3jk5uA+zZs2iTz75xPTkEmCM6YuC8rYJDg4O5Ofnp9+c+QMyQk1NDcXGxrZL+wfGGEVERNDGjRsvaTHViw2tVkul4j7tHcmGWq3WJvMXL+pZUlIiqW20ZquurjYbPl1bW8uOHz/Otm3bxgoKCqyOtWvXLpaXl6f/+5133mFE0BreegsRZoMGCT4YYw3G3V1IsORNyMTlaiyVvuHboEHQMLgWYGskWUiI9bBrnQ4rf55b4+sLrYcIK/J33oFpa9gwJDt6eZmW/HFwgPll9GisWF1csGp2cEDU2cmT1q+xqgqaz3XXGWo7yck4v0KBsR9+2DTn5KefMA9rRUK1WjjQeZCHv7+Q9PjYY4YRZObaLXTtCm1u5kzc++7dBe2gXz/brnXDBlzPJ58Yfp6QYOhDnD7d1E84YQLmlZNj+RzNzQgS4UEj3Ozn6wvtNyoK18/Du8XX6e0tmAFnz8Yx3t6C/0qlQtSepWtNS8O+c+aY3yc7G+8xPz+vG0dkW9uK4cOJderk32pNxNhcx5POT58+zbKysgzMde3Z/qGqqoq5ubmxhISEVkjWKwMNDQ0dqwHpdDpqbm42+71araa4uDjy9fWl/v37k6OjIx04cIAGDBhgUurGXmi1Wtq1axddf/31Bu2/a2trKTY2lpycnOiaa64xu9oR48iRIxQZGUmd/l1Wu7m5GKzwnZywso2IEMr0izcfH6EhmYcHytAvW4ZyJJ99hhXiTTdhNSt12Tqd0FTuq68Mv7twAWN9+y3+njIFpWUCA7HSffFFlD+ZOdN03OpqtKY+dQpaQWYmVr/NzZivTies7JVKaFnmVva8Wdxvv+Fc77+PFfenn+L/9fUoe/PTT+abxU2ejJIucXHS7b+TkqDFrVuHNtczZqD0jKMj2lGEhuJYcUsAnQ6a2cmT+I63ISguJqqoEEoa8X1VKozDn6P4Grt1Q0sHXonloYdwb0+cwDV9/jmutbYW8//+e+mWEURY8bu4YD4S3ekpORlay9q1mNNtt+EZ5+cTXXMN2lh/+KGwv1iDSUgQyhqVlUm3lWAMWkyvXsJ18o1roxxnz+LZLV4MDfncOdz3775DWajQUGiWjz9uWArpgw+I5szBvRa3W+eN/9asITp9GhoWEbSlc+fwfhUWYmxHR2iU48YRPfYYtHnxOT7/HKWfTp8+0+bWK0REzc3NVFFRQRUVFVReXk5NTU3k7e1Nfn5+pFQqKS8vj0ZJ1Q6yE1qtlnx9fSk7O5vCw8PbPN7liBkzZlyeGlBDQwNLTk5mmzZtYmlpaQZRbrt372YXLlxoswbEw6crKir0n2VnZ7NNmzZZrGogte3fv59lZ2fr/1apkMzn6IjVWlAQggWs5Yl8+ilWduK2CRcuIALMwQEr3hkzTFf3mzbhuM2bzY99/rxhJNktt2BlGxqKqKJHH4U9vXt3ad+EgwP2HTcOq12FQgjN9fOzXpKG/etf8PREhJY44kytRsgzrzYwZoxpGSAeMffaa9bPExcHbZII1xEejv9PmQJ/Wt++5v1prq6IMLvpJoRCu7jAJ8NDuAMCEGpsbQ68ZcKMGaZa3JIlgvbXr59pq3NecufPP62fJzVVKNvk6Cg8tzFjoNmYi5Tz8oK/5c474ZNZtgzzHTnSsIiqtXJGjCGizdMTVc+Nr/Wzz4T3xNMTYfz8dzBiBKwCjCHA4KWX4APkWqWHB3yFa9ag6kNyMj5fuRLv0qFD0L5HjDBskBcZCa0pIQFav0JB7P77728XzcR4KyoqYikpKezIkSNs48aNbMOGDezo0aMsNTWVlZSUtHrcvLw8RkSstLS01fL1csbixYuZn58f61AC0ul0kqaxI0eOsB07dkia2vbt26fv6dPWbePGjaysrMygX1Bubq7d4xw8eFAfmp2bm8uI8KMpK4NDe9AgQUD07w8HrNSPulcvmG+knOnnzsHcRQSh+PzzQjTWTTfhh1dfLy0gqqpAEC++KDh5lUpT4RsYCAE0YwZK8Xz/PTL2s7OFcx09iuOeew4RUT/+iDkTGUa5SW18/lLRVYwhIu/113EtSiUc1tz8GBwMIjd2wDc1QYB/8QUi3yZNguANCMA4PCqQh+W6uUHo33or7sdHHwmVCsrKDO/9Rx/hmF9+wfP66y+BiAIDUaHZ3LVKBXaIt+pqCHdvb8yxb1/kivEQ6GHDDOfS1ITvP/8cQtxcKLa4AnpEhGAi+/xzYhs3mk+Yvf9+IWhBp8NihleR8PJCrpC5thJKJULRzd0LrRaRcLzun0qFsHJ+H3mYOBHu75tvIkHXOCz+5Ens8/vv0vdz82ZE0HGTIpEQHu/k5HhRCEi8paWlsV27drG4uDi2b98+tmHDBrZz50526tQplpWVxdRqtV1jERGrr69vq5i97LBu3TqmUqnY7t27Ly8C4rk5liLOxMK+rduWLVvYhQsX9P2CpHJ5bNmOHDnC0tPTWWNjI/vll18YkWmJ+6QklI/nobBubrCXcxt5aSl+yO+8Y3m1GRsrJLS6uyMZ0tsb4baVlRCSzz8PP0mXLjiPOJosIACChfsquC/hmWesN8TTakEEnToZCrGmJtRC41FuvXqZXn9cHATjrFnWV/WFhUJ0lFKJ6yCCD4pHyplrGMd9E3xlz/fjfWxcXSGkrF1rQ4M0EWi10Ey4kAsMRLtz8bH790PoWXuWXHAuWyYkX/IQ5d69QSDmIgJ9fZFbdO+90Aq/+AKCvFMn6R5CluZQWipo1+LPeV09XuDVy8u0LfqoUZifuAeTeGtuhkY/fz7mEhAgWAb4QogI31mLGN2/H/taa0lSWIjfgDjnTaGgdiuRY25LSUlhBw8e1P9dXl7OMjMz2cmTJ9mOHTsMWm7n5eVZjK47c+YMc3JyYlqt1l6xelkjISGBubm5sXnz5rHCwsKO9QExxkjz7zLn/PnzdO7cOerVqxd169bNbMTZmTNnyN/fn7oZ13tvBfbs2UOMMQoODqY+ffq0uoz62bNnydfXl8LDw+m1116jL774gsrLpf01Wi3Rnj2wb//9N/wp/v6wgaemooWylxdRZSV8MDU18BnU1KAldn09tqws2M45lErDqLKAACH6qG9f+Bz69sWcxo+Hbyc9HSX933wTkXMeHkT/93+wy0vh9dfhV/j7b7RDNkZDA3xQixdj3P794QMZOBB+hKoq2PD9/YVjKisNI+UyMxHFVVmJ69RoBJ+KVovW3RER2MQRgeHhiAoUR4X9/TdadC9fjsi948fhi9i9G9FTzz4L/5jYJ8Rx//1Ef/4J/82115p+r9MR/fUXWhOkpyOSbPlyokcfhb+vuRnX4u6O/Wtr4X/hrb0zM+GvqajAfeOtrpVKjM0Y/Enjxhn6Xvh18nE5fv0VvrVvv4WvJSeHaOlSotWr8f2ECfA5SXWKnjYNzz8tDb4tYzCGe/b220Jb9JdeInrkEfi2Zs/GfTxxAm0ZTpzAWCUleGf5e+nmhvdw4ECi/fvxnG+9FeeuqhL8OTfcgGdj3Ol52zaim2/GfRQ/k5YWRMz9/DO+q6zEnENC0NbdyQm+oJiYGOon5TxsJ1y4cIEqKytpwIABkt8bR9cpFAry9fXVR9e5uLjo942Li6Nbb72V1Gp121seXEZYs2YNPfroo8IHHUqHjLGamhp29OhRtn37dlZUVGRV2zh+/DhLTk5us/8nMTGRRUdHs9jY2DZrUidOnGBJSUmssbGRjRo1inl7W9ckdu9Gm2NXV6zSxNnbUhuvO+bnB19Mr14wp4lXxq6uiPZSq82fm5f4MY48OnBAWOn6+cGEKP4+J0eo3GAt36amBn4OT0/MjyfK9umDqKSuXbHil4qUCwrCqnrGDPiFOnfGfZkxQ/CD3XuvdX+aVgstoUcP09pqR47AhEX/apFz5xqu6nl+kzhfyNzW0oKEYJ6r4+KCf0NC4Hvy9jaf6zNiBEoyzZ0Lv1JUFM47b57gZ+vdW6hobmkLCIDvw1izy82FuZRHQ06YAH+L+Lk6OsKsZ+0cOh3eC15hgW/GbSVcXaGdPfII/FnbtmEe4vdm8GBoePweHjuGslPDhgnvtJsbtPV330U1kb/+wufZ2bAczJoFXyv3Gbm64v384gtoU/x8O3Zw093vF1UDio+PZzExMTbtW1lZyS5cuCBprvvjjz/YX3/9xUJCQphOp2uDdGVMrVazmTNnMi8vL+bl5cVmzpzJKioqzO6v0WjYG2+8wfr378/c3NxY586d2YMPPsjy8/MN9hs/frzJOz19+nS759ehBKTRaNiOHTvYkSNHWHW1dDFP4+3UqVMsISGh1WRRXS1UNdi1axfLyclpMwGJ5xQYGMiGDzc1CXz0EcrHBAUZhu5GRKA6MpHgrPX1hT27oABmNXMlYnjFguho2Ph5+Zn77zffUbR7d/gNpAQ4T8rs1Qvjhoai7hxj8Ju4ugptoPlWUICw5bffBjFcey2Er7jIpdjf5O8PM9ojj8Ccw3vdZGWZXufOnYatIc6dQ2gzNxvOnGm+xP8LL+B8O3aYF6gHDwrFXT08YCbSapFc6eZmGLZeXg4/xuLFCEEfORLCzzhgQ9zG3NcXc5w3D/6iXbtwDY2NpnNJSMCxvCxRbS2EN+/T07s3FglS17FsGc4pVe6Ib3l5MGvyhOfrroOQHjcOn+XlYb/SUoSAv/02AgCGDMEiQKoIrTjx2dERdeWysqwHLTAGf+HYsdLfqdUgm1mzYPLl95PfZ07yCgWI7P/+D/fG3Dt/9Cj2/+CDDy4qAZ09e5adOHGiVceq1WqWmZnJYmJiWNeuXZmDgwNzcXFh7777Ljtx4gRraWlplYydOnUq69+/Pzt69Cg7evQo69+/P7vlllvM7l9ZWckmTZrE1q5dy1JTU1lMTAwbMWIEGzp0qMF+48ePZ0888QQrLCzUb5WVlXbPr0MJiDG0kLWnltvZs2fZ2bNnW0UUxcXFbPv27ezo0aOspqaG7d+/n2VlZbWZgM6cOaPXpFQqBRs7FhFnffsKfe/5avv66/Hj3rZNqBE3aRJ+VFVVyEz38RFW4OZ+zL/9BuH80kvCZ8XFQmkcDw9TJ/nq1fjOWhQXrzPXubNAiJwghw41nwPDm6lNnCgUueTRgE89JfQimjJFutSKeNNqsdIODTUlmZQUoT0Fb4rX0GBI+E5OiISzJggZAwHyyC9+TX5+Qk6TVLXokBAI8YcfBpGuXi1UtV64UGgVHhRkWm1AauvXD/fU2JdSW4s21P7+gn9t3z7h++ZmPGtjX5W5LT0dRUjF16NSSWukKhW0uEmT8PyWL0cZHl6V3dERc5k7F9fJtZZbbrHeeNHPD+VyLO3T0AAS5lqw8bvWuzcCOazlAiUm4phXX331ohLQ6dOn2enTp9tlrGXLlrGuXbuyu+++m/n4+DBfX18WHx9vl2xNTk5mRGTQMiEmJoYREUtNTbV5nBMnTjAiYjk5OfrPxo8fz1566SW75iOFDiegpqYmu4R9fHw8O3XqlN0mt/T0dLZp0yaWkpKiJ7xDhw61S0BDXFwcO3PmDGtsbNSvzIggQB97DFWKExKk2y9otSCfBx8UPispERI9/f1Ny78UFuKYAQOkV9NHjwrRbpGR+AFqtRAyffqYzqOwEILltdfgDO7dG6TDBZK4LH9AAATYE0/AzPbrr0JVbGOy3L0bx82di7/z8wVzEG8BYU548KreGzeaFyzx8UK4tbiC9IgRph1d8/IQCThvHlb2Q4eaamqcXPg1e3iA0BcuRLTfgQMIZ5cKYCguxjnvuUcg8V9+EUxzwcHmG8Jt3ox35sMPzV9rXR20aE5EkZEgTq7p8dD9qipoWsuX452y1l6CX7NCATL98UeMdeGC+cVPcTHumbjfVEsLFlX33isEGQQHw9QrpaW6u0v3Yqqrg0YXFSU8l5AQRPIdOACSDgtDxCNfICmVONcDD5iGtDMGMyMRsQceeOCiEtCJEyfY2bNn22WsVatWsbFjxzLGULLs2LFjrLGx0S7Z+v333zNvb2+Tz729vdnq1attHmfXrl1MoVCwqqoq/Wfjx49nAQEBzN/fn/Xt25fNnj2bVVdX2zU/xq5AAkpOTmbHjx+3eX9LVQ2OHj3K0tLS2kxACQkJelI0FmS+vvhRinvAiLfPPsN+4lUt37Zvhwbg4ABi4D/knj1BQGlp5gVWSwuxVasgYJVKIZv/xhuxoo2IgFAyXvW6u4O8pk+HaaNnTwiT558XqjOMG2c9y16rhZ9DSoM5fx7EzH06//ufYXg112CmTbO+omcMrRx4WC9fKXt5CaYjYw2Gr+yvv17Q1H7+WSCzhQsNO6p++KF17WLcOIxrnL/U0oKxuXk1OBjaq3if4GDcJ6nFhPFWWCgsTsSbudyt4GCQ0IMPwsTIQ+v/+EPIq5o3TwhXHjTIeqWGO+7AvmJfkngrL4cfRqxVDhlimCvm5IT7zhie/aJFIFX+/MLCEDV68qThvX/2WYzX0IDP4+NBtqNHC785NzeYSFeuxH4VFfh8ypQpF5WAYmJiWHx8fLuM9cEHH7CpU6e2UqoCS5YsYZGRkSafR0ZGsqVLl9o0RkNDAxs6dCibMWOGwefffPMN27VrF0tISGC///47Cw8PZ5MmTbJ7jh1OQPa25U5LS2NHjx61ad+ysjK2e/duduDAAcl+Pe0R0CAmxbKyMv2Pv6wM4bk33ijYyn180H5Y/AOPiICpx9xqs7YWqz+FAity7i966SWYyRYuxEr0ttsghKOiIHh9fQ1bfIv9MB4eEAgzZsB89PPPyDEpLTX8sfPOqnylWloKgcVNaTfdhM+k5v3yyzjXpk3mBVlampB/IjalDR+Oc3ABx/sX/fIL8oRuv9182wWxBuPuDk1t6VIIfUttrysqMIcpU/A3b2THhaivLxKFpa7j2DHpwA7x1tyMABGeFNulC/JZPvkEf/P20hUVWHgsXYrnM2oUFg9SJjK+cY375ptBMHv2oNGeOZ8If+/8/QXiV6tRLFXczM44lJ7PT6WCtmTL4iA+XgiHJ8L4vBDtDTdggcOfX3g4SledOWOe8E+fxr5SIe5qNe7jzJlCEzxHR6H46sCBAy8qAR05coQlJSW1y1gLFixg99xzj6TM5KW+LG0nT55kS5YsYb169TI5PiIigi1btsySWGaMQTbffvvtbPDgwQbajxROnTrFiIidPn3a6rhidGgYNhFKW+jElTetIC8vjwoLC2mYuRom/6KoqIgSEhIoLCyMIiMjyUFcn+NfJCYmkrOzM0VGRto9bzHOnz9PhYWFVFtbS7feeisREYnvqlpNtHEjyqbs3o2wUW9votGjEVo6dSrRddehqGVxMYosVlYiNLW2FiG6DQ0IZ2XMtIgnEZGrK0KsO3VCKGtgIEKxAwIQ2l1bSzR0KNHRo9jviy+I/vc/y9fVtSvOfe4c5stRUED07rtE33yDsid33YWyKzwEOi8P5VJuugkFPq0hIYHoqacQGs7DyT08EGpcW4syMeJrdnHB3HjZHx6i/NdfCL1+912EAx88iJDh119HeLnEK6AHL/OTmEgUFSV8zhjR5s04PiEBIeSLFiFMmKN7d4TJZ2UZlqiRQlkZQsG//daw4Ky3N66zqUn4jBcu7d5dCDvn1+rkRDRxItH06UTDhxMtWYLCoN26Ea1ciXBlc4iOxjP7/HOi554z/K66Gse//z7ev969UeB13Dh8/7//4T1OTUWZHnPQaFDa6NQp3NO0NITB19UJoeb8/jKG5zhkCMrt9O1LNGgQnoNxiDxjSC2oqEAYuxhqNUK69+1DeaDERLw3vNqXUqmkiooK85NuI2JjYykwMJBCQkLaPNbixYuppKSE1khUky0rK6OysjKLx4eHh9Nvv/1Gr776KlVWVhp85+PjQ5988olhOLQRmpub6b777qOsrCzau3cv+YtzJyTAGCNnZ2f6+eefafr06Rb3NT6wQ2GvBpSdnc327dtn9ntxVQNrEW7i4IHWbvX19ezgwYNsw4YNLCcnR78CMZfoqFZjdevoaFhYkW9KJVamPXvClzFtGsK1R4zAd3zFqFJB+8nLM3TAG2/ffotxuRlp40asfongn4iJkT5u4ULsY2wuEm+ZmTDtcA3m8cex6h40CCZCbqbTapGIu2YNVsM332y+vYSxD+bZZ+GI/usvaI7mGuSVl0NDmDJF+H7PHtw3+teU9v770trPyZM436uvmr9WnQ7Rfv36Cb6wb76BxkEkBHyYi5azpMHQv1rMxInQavftk44KFG9jx2I8XmmhoQFmLx4M0K0botmkju3cGXOypCHV1OC+c59TRATGc3ISWkLs2YP36tFHoZlHRJhPEPbwwL0bPVp4x/l19+sHE6RUa3dXV4zZrRs043vuQZkhImjM48cL7UvEx4aE4Lczdy4sCETEnJycLqoGtG/fPpaent4uYz377LPs2WefbZNs5UEIx48f13927NgxRmQ5CEGj0bA77riD9evXj5WUlNh0roSEBEZEBq2/bUGHE5C9XVFzc3PZ7t27Jb+rrKxk+/fvt7mqgTh4oDVbVVUVO3DgANu2bZueFPkPwLh9slYLk1xEhNBk7J57IHSUSgj8mhpp4bplCwhn4ECYQGJj8aNVKODPMUdANTX4YQ4ebEiIzc2oXODvj7mMHGno0ykvhxCZONG2yKrERIzBiYMLnMBAwW8kFg5ubgiGuPVWONF5OZxp0/D9Rx8JpkZPT+SBWAvtHT8eAsw4m16ng0mLl5WR6vfTvTuisqxFUzEGAnzhBVO/krkK4CEhpmHn+/bBzOTkhHuwZo3go+vSBWRraQ6xsbinb75p+l1jI3x/3EHftathe2zeMttaq/SqKoTBL1ggmLD4JpWv5u+PwI777oOZ9IsvYH4Vl/5pbobZ1NMT4ejr1uFdcHUFuWm1qPl26hTSAb74Atc4YwYiDrt2Fe67uMTShAkoq/Ttt1hQGTc4fPddTnqtr4pty7Znzx6WmZnZLmM9/PDD7I033miTbGUMYdgDBw5kMTExLCYmhg0YMMAkDLt3795s/fr1jDHI49tuu42Fhoay2NhYgzDrpqYmxhhjGRkZbOHChezkyZMsOzubbdmyhUVFRbHBgwfbHS5+xRFQQUEB27Fjh8nneXl5bMuWLezkyZOSLRaktsTERHby5MlWkU9RURHbtm0bO3bsGMvIyDAhIF5GPz8fTnZ3d3weGooon6IifF9XhxWdo6N0lNSePRBUUVGG/pbGRqzuFAoIP56vI944ucXGSguZ6mo4pl1c8MO++26Q1nXXYT48yEHsg3ntNYTZDhggrcGIc0N8fCCsP/kEQvDMGWiAUqR2/jzmwKPI+LXzLqg+PuZbKezbZxhtZ06D2bhRaKAWEIAFARfIXIMpLoYwXLgQgRiWEmeNNZhx40Am+/ebj5bj29SpuEf8Hms0COUOCxPeE3MFXvv2xTO3lHDc2Ihr4+QREoISQj4+0D6rqnB/33sPGvaYMeaj5RwcQDA8YZoIz+qtt0D4ljRw8TZhAu7Tli3CZ2lpeLfFvkZL2y+/YN+xY7Gwon99R+aCfBjDIk2hIBYQEHBRCWjnzp0sOzu7Xca655572KJFi1ohUQ1RXl7OZsyYwTw9PZmnpyebMWOGSSIqEbEffviBMWbaME687du3jzHGWG5uLhs3bhzz8/NjTk5OrGfPnuzFF19k5eXlds/viiOg4uJitnXrVv3fDQ0NLCkpiW3atMnukOqUlBR9eKOtmzikOzU1lTU0NLDc3Fy2Z88eAwIaMQKrfG5mu/VWhKlKreSrq7F6dHQ0NJscPgxh0LOnQFjG29GjMKU5OKDwJBd6vJ/MW29Z/1Hn5SGgwFiD4f2LjFe8Li4I1Z42zVCD4aaRzz8XNCIfH+kOo8bbwIFYCRsX79TpQK48GIATh3ifzp0xV0s9jfhWUCCEgouvyVJvnwkTELW3aBECCQ4eRG07Hqn3669CuHXnzghptzQHXsDzhRdMv9NoYNbjBV5DQw01mG3brIdsMwbz2uHDMKNFRhpel/F18pBpcbTc6tWGCcI334w5JyYaalhhYdBWrN33+fOxP498E2+1tVikEWGBYK7j6/btmPvQodhHq8XCwdcXc5s2zfTY5mahvl6PHj3YwYMHWWJiIisoKGi31tl827ZtG8vNzW2XsW6++Wb20Ucf2StOrzh0OAHZ25Zb3Eq7ulqonF1SUmK3FpOens6OHDli8/51dXXsxIkTbOvWrQYh3Xl5eWznzp0GBMSJR6GA+eehh/Dj+/tv6Wzx8nKsbFUqrExPnYKgDwuz3pCutlZoGe3nhxW4tzeIq6EB29GjMGk88wwi8/r0gTA3NpGJfTC+vtj//fexej5xwjRSjm/cj8JLunDi4BpHYKD5hMxffrEuVHU63DteBDQ4GIJ+0SL8zVsX5OdDYM+fD22KV2aQIhhjIXzjjZjjwYOo+CCVtyVeVYtNfjzKjZvSjIlDvA0YAII3F0HIiei77zAON6VFR+PvLl2gOZ89Cy3n2Wcxn169hIaGxj4Yf3/Dd9LZGdpPRoZlXxBjQmmiZ58VPmtshBmXF4o1NvUZE4dSiUWYOVOqTgdic3SEdmecz3PypNBqwfi+qdUgc4UCZLN0qfDdqVPCPXjqqadYUlISO3ToENu4cSPbtm0bO378ODt37hwrLy9vM2ls2bKF5efntwsBjRs3jn399detF6xXCDo8Cs7WttwcvJX2yJEjKTY2lry8vGjAgAGkUqnsPndeXh4VFBTQ8OHDre5bX19PsbGx5ODgQIMGDTIoHFhRUUFxcXE0YcIEcnFx0bcmnjABUU95eYjQEd9ppRKRTK6uiIAKCkJjup078b2DA7Z33kFkFS9CWl+PiLjGRuFfHj2VloYGdBwuLjinRmN4bi8vwxbfvLX3Bx+gkOQnn6Bl8+nTiKL75BPphnVihIYKEXM+PsLnOh3R+vVo652RgQKRX36JIpREiAj098fncXFormYJFy6g6dyaNYZRZF5euB/i/oaOjhi3Z0/DJnnh4bj3111HdOedKMY5fz4atHXtinbmt9xifg6xsSiG+eKLiDAUo6UFRTHfeQdz7doVUWX8erdtw/neew/Reeag0+F5HjmCaLX4eOE7lQrRXcZRdOHhiCIzbngYFoZGcStWoBBucjLuYUUFmtf9+ivalZvD8OGIADx/Hu+pGBoNnsWiRYhKCw3Fee6+G98XFGBOXbrgfbIWJXjiBNEdd+B38+67KCKbmYkCpj4+KIbatav0sfHxiE48cgTnW7sWxUlfew336ssvv0QTNILcqaqqIrVaTeXl5VRXV0deXl76wqBeXl6SkbOWsH//fho2bBi5G1eKbQUmTpxIs2fPpv9ZC1W90tHRDGivBlRVVcWio6PZxo0bWXJysl1lfIw3axF1fLtw4QLbsmULO3PmjGSjOrFZkESrzkceMVzR5uRAE/nzTzSBmz0bfoZRo7BKF/tPjB33UhuviebhAW2FR0DxTamEnfyrr6CNJCWZN2/wumvcLMSjvrj5pmtX82Xw33oL+/BcFqmtuRkO+JAQzLtnT2S2z5yJY3nBzQsX4IR/6y34pMS1yMxpMHy1f8890KYOH5auzCDehg2DpsC1S40G5pwuXYRme+Z6G0VGwrRoyQcjHo8ImtHWrbiWkBD0bkpJsS0ykMi0qZyjI3Kt4uKsF2ZtaMDxPMeJMbwHixcL5xo/XqgHJ96OHrWttURTE66Xa2whIXgfQkOhZaekWD5evJWWCr2Dxo/Hs/fxwRhaLbSvigok5WZlwaR55gzmumeP0Iqea0T0r9nxzz//NKtxlJaW6nMMt2zZwjZv3syOHDnCUlJSWHFxsVWNhcultjShE299+vRh0dHRbROuVwA6nIDMdUWV2nhVg+jo6HZpSif23Zjz93D/UmZmpk1mQbHQcHe3rTBjTg6S8njF4ieegCBycgIJpKYiw76gAKa62loIOOOGZTxE+J13UB6HN8ILD7ec3d7cjB94WJipH6W5GT6J4GD8oPv0QTIg/76gAPOcPNm2iLmMDPiqjElEqtilSgUimDQJybZLlwqlfzZuFBrjrVwJEx8v2imVQGlsElIopP0RjY0Yr1MnoeSNuAjob78Jfi5L59Bq8dy++04wQ/KNFwQVfyaODHzxRSxQxIEb3IeyYQMWFNwH062b5WRfxhAmTWT43MTCfvZs3Gup8ki8J5FxZJnxduECCOfVV4UConxx4OyMRZK7O66TR765umIR4OKCfZydcW+cnIReULwMFDcdWluUmdscHYlt2bLFJuFfVVXF8vLyzDaWq6ioMDmmoqKCRUdHt4spr6qqioWFhbE9e/a0SbZeCehwE5xOp6Nmsd3EDGprayk2NpZUKhVVVFTQuHHjyM3NrU3nLi8vp6SkJBrHs+xEaG5upvj4eKqtraXBgweTlwXbQX19PR06dIimTJliYJojgqnljTekj8vORv+YI0eIFAokY77xBkwMqalIVG1uRkKdpfZHajWS84qKkDT4+OP4XKcj+uEHmHqqq9Fn5c8/DZNKiWCGio5Gj5bx46XP0dgI09SiRUi6HD6c6LffiO65hygpCb18undHH5pjx2CmSkuD2aaoCAmlDQ0wURmDWzqeeopo7FjBTBYUZD55NCwM5sjMTFxPQwNMe4sX41rFvYiMERwMM1Z6Okyg5q73668xnlqNpMjVq2E+8/fHM8nJQXJlXByeV06O0AOHJw5zuLjgWWq1eNZKJUxD996La/X1xedS0Gjw/bXX4hkpFDB3/vADnkdhIcaQSkCtrkZy8i23EK1bJz0+EcyFCxfiGp2ciGbMQHLu/fcjafmJJ2BC49ebng7TclUVnoP4J+zqiiRitRp/KxR4lvfeK5iWbdmWL8e9DAhAcnZICEyJTk54fo6Opv+K///QQzD7Ojjgt3Dw4EEaNGiQ+ZtgBi0tLVRRUaE31zU1NZGPjw/5+fmRv78/ubu7U3NzMx0+fJjGjx/f6r5iHIwx6tGjB23dutUm98AVjQ4mQJs0oPPnz7NNmzaxuLg4Vl9fzzZv3sxKS0vbrAHxUGrjz0tLS9nOnTvZkSNHzHZmFW+VlZUsOjqa1dfXm6y8OnUyXS2mpyPUWanEau/ll6W7VsbFwSHr5WW+q2V6Or53cUFRS6l9Kipg5lEqsd///Z+gmRmb3qyZWXbvFuqk8U2lktZgnJxgaps8GcUjly1D+ZmYGKGFwHvvYXXv6irUmTNu+WC88VbZP/5o+l11tdCLyMEBprbUVOF7HrRgLsRZrMFkZMCsJG7xzK/LWIMRRwY+/zwCKtatgxO8vFwIEtmxg9iKFYLG1quX9X4/XIMxzi3jGtuqVYKGGh5uGJJ/99343JoJrLERjv85c4SUAb4Zm/941Nx112FuixdDMzx2TEgU5i3Uz51D2D4RIgXPn7f+njEmtG//8ku0JJk1SwimsKU/0qFDhnMmInbmzJl20U6KiopYcnIyO3ToENu0aRPbunUrO3LkCIuOjmalpaXtcg4XFxeWlJRknzC9AnFZE5C5qgbbtm1jhYWFbSag0tJStnnzZoPPsrKy2KZNm1hCQoLN/qWamhoWHR3NamtrGRFefAcHIU+Bm0iSkxGezIlg9mzDnjNS28mTEAi+vqbRP4cOCZnix49b/1EmJQml+AMDYc7x8YEZp6oKFbt//BFFIO+6C0TTtauQGyJVtYH/6+6ONhN//AFBVFRk3iTH210PHixEmpWUCKYgS3Xm6upgwhkxwrJ5s6LCkNjGjsX9d3UFyRnXl7vtNoSC8/pyxgTD58Wfr4sLyPPUKdT9s2R+5HXmbr3V8DrE1a379JE2HfIKD/fea51AVq4U2qJ37w6y53Xb8vMRRbdwISo0jBol5P1IRc0ZE87jj4PYUlOt5/3MnWtI8jod3isPD1yLOEpNalu6FOcUtxphDIulLl3wbO6913KeFS/+Kq7kfu7cuXbxz4i3yspKlpOTo3cNREdHsz179rCzZ8+y3NxcVllZafeYarWaERE7f/58a0TqFYUOJyCdTmdWq+BVDcrLyw2+27lzJ8vLy2szAZWXl7MNGzaYkF1ubq5d49TV1bHo6Gj9yoULrFmzIGDCw7ESVyohAN9803o/HPF2+DCERGCg4HD+7Teco1s3rDItHV9XB63jm2+QSMobzomFq7EAUqngExo3Drkhb72F1ejmzdDMpk3DMbz4I7f1P/WU9bDeu+7C/lJ+qbw8aEtKpZCYKnay33EHjj1zxvI5tFo4qFetMs3kd3aW1mB69UIwwHPPGZb/KS3FKt7BASTxzjuC837kSNPqC8bbtGk4VqyJ8a22FmHuvr5CEVCxpsMTVq0945wcPIvZs6WDUYzJpXNnofPs3Ll4tlu2IM+nshLENHAgQt2Dg3HMxImWAy8Yw3vNi7oak3JurtCJtm9f6cXXxo0g+qlTpcPgq6vxjhHhnu3ZY7oP99PxklX8uouKitqdgPjGE+F5MENMTAzbsmUL27RpEzt8+LDNwQzV1dUsNzeXEVGrEjuvNFyWBJSfn8+2bt1qtqrB3r1726WTKTedVVRUsAMHDthcwsd4a2ho0I/zwgsv6F/4CRPwI1cohAADLy8IxF69kFB3/fUwkzzxBIT8Z5/hR3/4sGE2/Z49+DF17oxVrFKJ5MyYGOTHvPsuou6uvx4/7qAgmKGksvdVKqxGxTk/PE/n1CkIEUsr+lOncIy4H0xiIrQI+tehPmeOtIZy9qxhvpC5zbjO3KOPCtW5n34a+5w/D6E7Zw6IyVyFbL6KF2tsfn4IEOAEY+l6k5NN82DKyyG4xRqWlHkpNRXHPvec5eutqYFZ0tsbz2XgQGgsjo4w3+XnQ6N46y0QuKVOpc7OeP4870epxGJi506QgCXNgTGhDiA35dXUYNHk6Aiifvtt88fyXkwZGdLf63QgOx54IK5ukZyMz6KirEf27dkD7VypRGdg8TUFBCB4gmtB/P60RhuxdcvNzWXbt283MaXl5+ez+Ph4tn//frZhwwa2Y8cOfTCDWq2WHCslJYURkb70zdWMDg9CYIyRRqPR/z8rK4uysrKoT58+FBoaKnnM8ePHqWvXrtSlS5c2nbu5uZn27NlDTk5OFBAQQP369Wu1A3Hnzp00evRo2rNnDz3wwHTSalGRmjvflUo4dJub4ZxVq5GHUV0Np/6/t0AS3Lmq0wn78YrCxk/Pz4+oc2cELYSGwnHbpQv+5ZuXFxzTnp5war//Pqozq1RETz6JPA5LKRBdu8LxnJEB57gYJ04QzZmDisReXqgiLQ7CCA+H4zozE3O1hJwcBDq89x6O4XB1xX0UBzQ4O2NeERFC/gsPZggPR3BDYSGud+VKOPAdHRGAIa7kLYV+/ZAjlJ0Nh7gYpaW4f59/jgCDceOIfvoJ95kIVZ3PnUMwRmCg+XMUFyN44/BhzK28XPiOVwjnUKnwbCMihFyu8HDhmjt1Iho2DPk+Z89ibqtWIRBiwQLzQTFEuKe+vghq4cExHKmpyLPZtw+BHH/8YRi0wqtsL1yIvCpLyMwkevBBVEAfOhRVzAcNwnt3+jSuwxpqa5Ff9sUXCET5808c+9ZbRL//jkAKca5UdXW19UFbifLycsrIyKARI0aY3UcczKBWq6mxsZG8vb3J39+f/Pz8yMPDgxQKBZ07d47GjBlDdXV1duciXXHoWP4DGhvtq2pw+PBhdu7cuTZpPw0NDSw1NZVFR0ezpKSkNuUTNTY2si1btrCSkhKWl5cn2QCNCGHS5lZ0jY3QPNLSsNLfuRP5Qt9+C/s7r54tHs/REU7+v/7C6tua6YtvvJ313r2Gq09eDNTT03zdNb46NtfdU7xCHTpUcBx/950QPPDDD4LZaO1aaBJ33gmfkLlVvXhTKnEvf/8dvi9rGtsvv+A4cej0uXMwP4k1LCnfxj//YJ+PPrJ8vQUFCJ/mmu5NN+HaFApoNuXl8AUuXAgH+7BhyJGRavnNW2RzX6KDAzS2P/7AeayF9h8+jGMWLhQ+i40VmvaFhGAfqWN5HyfeYVVKg/nrL8EsN2ECrk2rhUmsRw/LjfW4aXTjRpgeeWV2vnXrhnledx3GvuEGmPOmTUMfqLvvRu7cjBnQ+B9/HKZBfrxCgfp9x4+bvjMXS/uprq5mGRkZbM+ePXYdw4MZDh8+rA9meOyxx9hLL73EfHx8mE6na61IZYwxplar2cyZM5mXlxfz8vJiM2fONKkDZ4yHH37Y5Pc2YsQIg30aGxvZ888/z/z9/Zmbmxu79dZb2YULF1o1x8uCgEpKStiOHTvY0aNHbYo6i4mJYSkpKa0mi7q6On2X1Ojo6FaZ3Yy3bdu2saKiItbY2KgnCkdH/Hh69hQeptiMY23bsgV5KLwZ3dy5ON7ZGW2X77xTqKzdq5d0VJjxtn+/oRlL6nueP9S5s2FEVWkpzj1hgm05Pzk5mK+xD0LKRMYj5qZMwdyWLxcCGnJzccw110Awjh2LY7y8rNdE463Ie/eWNj0lJUGo0b9+oOeeE9og6HQw54SHWyd33kju5ZcNo8gUCvM15iZOhJ9w8WLTBNoePUDcOTkwMbq44J5df735iEi+9ewJwjJOOtbpkEcVGCj4dMrLhe+lElbNbbW1mJejI96J/v1xbc88AzPhAw/gPenbF2TFIzWNI9PEG/dDBgXhmIAAkJqXF56/i4t0BKLxNno0/J3i+9+rV6+LSkDp6els//79rT6+srKSnT9/nj3++OMsNDSUEREbMmQImzt3Ltu/f3+rzHFTp05l/fv3Z0ePHmVHjx5l/fv3N6mEbYyHH36YTZ061aAKtrEv6umnn2YhISFs165d7MyZM2zixInsmmuusbsSNmOXAQE1Nzezbdu22VXV4MSJEywxMbFVRFFeXs727NnDDhw4wKqqqtimTZvaJaR7586dLD8/nzU2GtaD46s0IsGhvHGj5R/3d98JGfSBgXCIc5v40qX4QfF98/MhwHhioocHfCdSDt7mZgimkBDLiYVaLRy5vGpB//7w8YwaZVgl+8IF2/0Sxtt99wkh2YWFlgmNt6DmvYt0OmiIvMWCv79Qzdp44+HPu3dbvudnziAAgf71Yb3xBoINiKAFVVdjjOXLcX9HjxY6lUpVjxb73hwdQWJbtlivMccYNF8iRLXxzwoLERXGNaxp06SjBNetMz3WeKuuxvVx8pg7F8/84YdxrFSAh7hT68yZwvW7uUn3tnJwAIH074/3/rHHBB/nX38hgpO3ZHBwQK3EefMwhrc3FkLWSFCrxWKhvl5op84rdk+Zgt8JJ6zHHnvsohJQSkoKO3ToULuM9eeff7LIyEj2yy+/sAcffJAFBQUZ9PSxBbwX0LFjx/SfxcTEMCLLvYAefvhhdvvtt5v9vrKykqlUKvbHH3/oP8vPz2cODg5s+/btds2RscuAgBhjrLa21i5hf+bMGRYXF2c3SeTm5rLNmzezs2fP6kvqbN26lRUXF7eZgHbv3s0uXLigJyCFQljtrVqFf3/8EStxV1fT6tZaLYjEzw/79ugBIjI2Z3z4IX5kxj/GlhZEqN18s+B47tfPsLcMrzi8a5flH3ZdHbLm16wRQsnF5iFzZqMePVDQ86mnDHN+DhzAfGbNggOa58D07SudnS/e0tNxveKyRuIV/T//IISZSChQyr8vLoYAuv1268Ksrg5tHR57zJA8ebkjY4Lh1aMfeghO+dWrcXx2NrQlT09UQEhLM4wSnDED57I0l8BAONClGtLl5iL4g0cJ3nuvocM+KAhkZ6mZHd9SU5GjRYT3zsEBpGKtkZ74+h98UAjl5lWpZ8ywHujAGObt7o73hlfgOHxYCC547DHbKonwtiT8d8PfLyJBM9u5c+dFJaDExER25MiRdhlrzZo1bOjQoXr5qNVq7TbHff/998zb29vkc29vb7Z69Wqzxz388MPM29ubBQYGssjISPb444+z4uJi/fd79uxhRMTUarXBcQMHDmRvv/22XXNk7DIhoKamJruEvb2N5BoaGlhCQgLbtGkTy8rKMvhux44dBpWtW7vt3buXnT9/njU0NDClUqkXXrweGzfvJCfj/+Hh+HE1NGCVzs02Q4Ygqs3cKvmzzyAALP0gc3KQAxMYKJiq+Op+4EBEND3wAEwwAwbAF+Hri9WsuXpr4ggyFxesZn/7DWHJ1vwSfftCMyspEYT9++8Lfo7hw82HMvNjzbWj4OT766+4p0QQnFu3wlSnUiGirqEBwm3FCqGTZs+eQgdPY1OQ2FTk4ABfxJ49GMuaOY77UcQhwikp0Po4Ec2aJe1z+vBDHGutKV1GhhAl6OQE7eX993EsrwxeWYmyRatX43nNmIFn3q8fNFUfH8MkUy60FQpo4Nddh3Hfece0PQOfB+/FtHAhnu999wmLAUs9ehjDu+7oaKpxVVVhwUGEeXCNW2r77jucn7frmDtXCMN2cREWdBczAq66uprFx8ezY8eOtctYX3zxBRs/fnxbRCpbsmQJi4yMNPk8MjKSLV261Oxxf/zxB9u8eTNLSEhgGzduZNdccw3r168fa2xsZIwx9uuvvzInJyeT42688Ub25JNP2j3Py4KA7G3LbU8juerqanb48GG2c+dOSVObWHNpy3bgwAGWkZHBTp48ybp06aIX/GIBHhGBHw3/gQQGCgJ/zBj8wK35VngDNXMr+Pffx6p89GihgyRPxjNuu+DvD+3h+utBSK+8As3l+++hTZ04geCG4cNx7D//wFnPhd5DD1lPSvzrL+z/8cem31VWGiaLGvs3ePDAp59aXwU3NcGsM2WKIZnw0GHjPKfAQFzX//4H4fzNNzDrnTsHsnB0xLVu3y74xPz8UIfN2qre2RmEL/V9fDxCxolw3c8+KxBaSwvIdsgQ6+8BN4k984ypCdDVVdoEyp95v37QfB55BH6cOXNw/6+9Vjj2/vttazQXGgqtS1xDcP16oYHdE09IL04WL8acpN4Lvv39NxYpKhXSDIy/370b5xg5EqZRBweYKu+/X+iWyq/9YpJPdXU1O3v2LDt58mS7jPXee++xm2++WVJWvvPOOxZN20TETp48yZYsWcJ69eplcnxERARbtmyZ5NhSKCgoYCqViv3999+MMfMENGnSJPbUU0/ZPC7HFUlAtjaS48ENlkrq7Nu3r10Km+7fv5/t2LGD7du379+HptC/EHwVRoQfSHOztCOV+w7c3PDD69QJq/oBA0BQt9yC6CkirOAjI4X+L8YreLGJiBcpvf56YQX+8su2mTdWrsQxS5YIn6WmCitdFxeU8ZEyuWi1mF+PHpa1huJikJ+4IGZZGQg8KgpjNzcj/2jVKgjdG24Q+t+4upoSjHg1r1QiQXP7dsy9vt7yNQ8ejDG5H02nQ04ON/V16mS+t9Ftt+E5JidbPoexz+mVV3AfieD/KC+HFvfuu6YmMSmfk1jYOjjA7LhmDa45NhYapDmtevRojJmfj437gtzcsCAxdw2ff479fvrJ9LuyMmhc/H6Jk47j4vCcp0yx/g7m58Osy7V3HjTBLQk9e+JckybB5/Trr6a/q4sdgFBdXc1OnTrFTp8+3S5jvfPOO+y+++6TlJWlpaUsJSXF4tbQ0NBqE5wUIiIi2PLlyxljV6kJzl4CSk9PZ4cPH7a4T2ZmJtu0aZPVEOsDBw5YrHRty1ZQUMA2bNjA9u3bp/ct3XjjjXoB+NZbgpnj99/xgxf/QLp1g7D49FOYMl5+GavT22+HGaRPH5hMxFFEPDT3vvtgUvvqK9QZS0839BuVloLUpk6FID17VrD7e3paDi++cAGCaeRIaeF19qzQSdXdHU5ksUCZMwffmatRZ0xWu3ebVmngVZONo6d8fGB2uecelNJZuRICOzkZjnIi3JOlS4W6cJZMfXzjlbLFhCue4x9/CFGNXboYNmHjjdusJdkyBg1m2zaY0Yw1U2MzqIMDAkLGjhVMYj/8IJjEysvxbtx0E0K9u3XDNQwdar2Z4enTGN+4c+6pU0LYdnCwaSuO5mZoa4MGWSaRjRuhbXI/nkaDvwMCbK8GotPB9OzkhHfhyy+xOPHzw/XX1GD8CRMwJx7IcP31+HzRokUXnYBOnDjBYmNj22Ws2bNns0cffbQNElUIQhAHLxw7dowRWQ5CMEZZWRlzdnZmP/74I2NMCEJYu3atfp+CgoIrOwjB3rbcWVlZ7MCBA5Lf1dfXszNnzrAtW7bYZFo7fPgwS09PbxXxNDQ0sLS0NLZp0ya2d+9elpycrP8uISGBOTjAPPHccyATR0ehTMoHH8BMwQVr376W8ycaGiCEVCqQRkQEfmgDBuBHaO64667DMcaZ6Xv3Cnk6AQHSvXx69sQq2NL4jMHPMG6c4G/68EOYolxcsHrl5qTiYpjx5s1DCPmgQeZrr4lD2YODiX3yCYRrQoLlCD5eZ27YMOG8FRUowMpNfRMmmBfMwcFCvx5z52huxoKB977p1g0CesgQIcDE2CQ6ZoxQe01KgxFrcEolNLy9ew2rYZjbeHmipCThHrz7Ls6jUiFowZz2ExUFYV1ZKS34//xTiIYcMkR4F3g5HHP5QmLSTkwUIhb5+z5kCOZ900241rFjUUVh6FC801FReMe7dcN95u3hxfeJa1UbNuDvoCCBpIYPh4bl6EgsLy/vohNQTEwMi4+Pb5exnn76afb888+3QaICU6dOZQMHDmQxMTEsJiaGDRgwwCQMu3fv3mz9+vWMMcZqamrY7Nmz2dGjR/W90kaNGsVCQkJYdXW1/pinn36ahYaGst27d7MzZ86w66+//soNw2bMfgLKyclhe/fuNfmc14/bu3evzbk9MTExLDU11W7yqaurYydPnmRbt25lhYWFkqHhvXv3Zs7O+GHV1ws9TR57DD/uWbPw98KFQn0uqdDa5maY2xwc8GNjDCatDz8UwmAfeshUUPFK1/Pnm19ZrlsHExkXpDz89dVX8RlPGrW0VVVhxTx7tmAO5ILC3186kopHzU2eDD/IBx9gLmfOQOB4e2P+3Kfj4YH7ZM1kM3069peqHC029fFQZnEeDHfiW2qsx7emJkT38eKuxj4nY3NgUJAQNWYcNRcdLWgh4mrjPj6Ww6kZA0E5OiLU3/i7nBwhx8nLC75H8fdbtpj3zxmT+tKlgn/ojjvw7/jxWFAsXw5fz9SpWFTwArZSeT/ikkguLtBO/fxAMF274p3o0wfa7fDhIKZJk/CsoqIMFyrPP4/5PfmkYIJ88038e+ed+Peuu+7SFwiNjY1lFy5cYFVVVe1OQIcPH2ZJSUntMtaDDz7I5syZ02a5Wl5ezmbMmME8PT2Zp6cnmzFjhkkiKn7jPzDGGKuvr2eTJ09mgYGBTKVSsbCwMPbwww+z3Nxcg2MaGhrY888/z/z8/Jirqyu75ZZbTPaxFR1eiocIJSq04lojVlBWVkYpKSk0duxY/WdqtZpiY2MpMDCQ+vbta3NJnfj4eHJ3d6eePXvafP6GhgY6e/YsKRQKGjx4MLm4uFBSUhKpVCrq1auXfr/NmzfTPffcQ87O6JkTGYnSJnfcgbIhRUXoa7N0KfrW3HUXep2cOEHUuzfG0OnQByY2Fv1t/u0orEdhIUqr/PILSut88gnRrFk4LjgYJWrS0ogstU5qaUEfmHnzUFqme3eUjgkNxVyLitAiubwcJXHq6lASSKMRetwYg/dgISK6/nqUbOElcnr0wNykqowsWoR21j/+iH4uRESHDhG9+SbKtnh7Ey1ZQvTcc6bHZmaib8/MmShnYw55eejz8/33mMPdd6M8T9euKEETE4Nrio9H/5uEBPS/uXAB94G3Qhf/cvj1OjigxM///R/6OfGW505O5u99YCDK3yQnC23UN29GmZmkJHz/0UcoXWMM3i47KwslmKSwdy/RM8/gGvr2RcmcyEiUC3JwQEklZ2fTecXGoqV1QgLKCaWl4d4pFNiMn7uHB/r+hIbiXnbuLGxaLXpfDRz4/+xdd3hUZfZ+J733Sg0tPaTSpagoVUJTVCyga3cFhVXctaAuguW3CK4NVgUbFkLvLfSApCckpPfee5uZ7/fH8btTMklmkplk0LzPcx/Indvnzne+c8573kPnioqi7+m777r+nuTx1lv0O5FISJpo6VLqb/TWW9S3qbQUmDSJ7nPVKnrPKirMkJ9fDKlUiqqqKkEChzEm9PJxcHCAqfLN9wLx8fFwcXHpszwYAKxevRpBQUF44403+nwsfYdeGCCJRAKxqk5lXaCmpgYJCQmYNWsWGGPIy8tDRkYGvLy8MHz4cIi66uylAqoMR3fghs7FxQW+vr6CVlNqaioAwMfHR2F7V1dn1NU1wNGRBq6WFlq/ejVpkHl4kLZZairpWM2dSwP8iRM0aN95p0y/7Pnnu76uq1fpx5eYSIPL1Kk0iO/fTxpbt27RQJOXRwMpNyq1taTr1tZGBkUspsHFwEA2wBgZ0cDv6Eg6Y66u9H8np87/2trSQGBnB6xbR5pgTU3UEO2nn7o3hMXFNHBMnw6cPq2oQ8YYPZPXXqMB0cWFNOseeki2TWAg3WNWFhm47iCVAsePA3//O2m8cfDra21V1BGzs6PvytNTUXdt1CgyFPv308AeEwN89BE9x/nzadLQTS9DrFxJzyUyEpg1q/M17t1L2mZZWaTp99lnNCkASDdu5kx6xhs3dn+/HR207xtv0Hc9fjwQG0sNBZ2dycBwA9vc3NnA2tmRvuDw4fQ92NvTZMXYmAb8Tz7p+ruVSmm/hgZ6P4cMAdasAb78khoHXr/e9b5iMTB7NnDhAj3P8+dpAhMXRxOHI0fo+GZmdD1r19J7LxYDb731FtavX69wPMYYGhoaUFVVhaqqKjQ0NMDS0lIwSLa2tr3SX4uJicHQoUPh1tOLpwYeeOABzJ07F2vWrOnzsfQdt6UBamhowPXr1zFr1iwkJyejpqYGwcHBsLOz0/jcXRkOZTDGkJ+fj/T0dHh5eWHEiBEKn6enp6OjowN+fn4K69966y18+OGHAIAff6RBubycfjTr19OsceNGGgyCg2mgmT0bKCqiH2dcHM0Uly8nwUruiVRXk/Gor6elqYmWwkLZwCESKQ6iHAYGMmPi7k6DNTcse/fSrHf+fBqgzcyoM+VLL6n3PBcvBg4epAFjxgy61jffpMHGzIz+//rrqvcNCqJZdkoKDeyqIJWScOWGDTTrHz4c2LGDDPuyZSRc+o9/0HY5OTTTTkggAy/fsbS1VXEGzwU/DQ3pefzjH8CYMTKhz67ESi9coE6zTz1FHVkB8krffps8LGNj4IkngO3byZDLIzaWPJjHH6dtu4JYTO/OG2/Q9+vhQZOXJ5+ke8nJoetrbaWJRlqabLJRVETvTXU1GQA+2eDgz4AbGC7mKi/kOnKk7P7XrQP+8x/yjhoayDheukTe9+uv0wRBefxeulRmoMPDZeu/+oo8WRsbEj5V/gnm59PzKS8nz9jPj471yy/AAw+QNz5yJF3H668D//43fWfZ2YCtrRXS0jJ77Jrc0dEhdDqtrq6GRCKBvb294B2Zd9UyVwm///47Ro0aBefuFGfVxPz58/H444/jb7y18Z8ZvQrcaRlisVij/Et1dTU7cOAAO3PmDLt48SKrq6vrNYMtMTGRRUdHq5Xv6a4RXnJyMvv99987redN6gwNwTZulBUP8tzG229TTuLll2Ux9/Jyyu0oU4uVFzMzmVbZ+PFEBLjvPsq3GBvLan8mTaKEdkqKTDhSVayfqw4sXUp/37ghIyp4ePSsWnDsGJ1TuZEYY0QFnjZNxqpS7uOyc2fPdSHKebH//KdzvsXFRTWpwdyccggLF5Jo6H/+Q/mL6GjKV7i6kkIE71djbU15qZ6uwd6+a2mj1FRZiwpLS2pgJ//5sGGUI5PPQ3W1lJVRjmziRMX7MjWlY3dVQGxpSd/dlCmUD3r+ecoHGRnJVAKGD++5aJQv9vaUy+J/S6WUt+LlAXZ2ikK2u3bRe7x2rerjXbxIxzQ1VVSxOHiQvjMrK8pVMUY5Jmtr+n9jI31XPMdkbk75Q37f69atY+Xl5RrlXlS1Tzh16hSLiYlhubm5rKampst9T506xXJzc7WSAwoJCVGQuvkzQy8MkDptueWXzMxMduDAAQVJnd4uN2/eVGk4+FJTU8POnTvHIiMjWW1tbZfbdVeb9MEHHwg/FDc3+vfrr4mNxX88Tk40oEkklNzlRgsgg/Luu8QAy8sjVldXzKgtW2if//6XDA6vNbGxoSLW7gaXsWPpB19cLFsnkVDC3MGBrmfhQtVSMm1tdI5Ro7qWmpFKKcHPlZSnTqVam4YGegbyHVL5uVNSyDg9/zwNOGPGqCY1QI5htXAhEQp+/ZWMaHcdS7ky+MmTsnXKSt67dqnelxMeetKZu3xZZjg445B3DeWEB66r98YbRC0PDSXDZm2t2rjwpDvv5fTvf5MqwOHDpASdm6u6kPTNN2WGXiymZ8sldObP7yxgKr9ERHRN0pBKiW4/frzsuW3ZQoYlJKT7OrC8PCIdGBrSRGz9evq/j4+sEV9eHhmyxx8nxh7vLAxQwbClJU3aALAhQ9zZgQMHWGVlZZ8MQXV1NcvKymK///47O378ODt06BC7dOkSu3nzZqfmdsePH2f5+flaMUBeXl7s0KFDfR1WbwvcVgaopaWFJSYmssOHD7MDBw6opZzd03Lr1i0WFRWl8rPi4mJ27NgxFh0d3aOhS0tLY1evXu3y86VLlzKABk9DQ2L1SCSyKntA8Qe8ebOsXsjJiX58s2Z1P0Dk5dHAPHOmopdz5ozibDcysvO+nAG2Y4fqY1dXE+tIJCJj8eGHip/Pm0efXbnS8yy6sZEGQs5Gc3Skc8+cSTPpIUNo4FX2YuztaWB++GHa/9tvqQjSyIho7u++K+tUOn06PY/uroOzBFUpg3OdOV6XNGSIoojsxYvqNdbjxvnGDZkmnPw9qVIGNzIiRuJdd8nUsr//ns6ZnU3emo0NySBxA+rs3DMl+to1OvbChYoGubqaimANDOi7fe891fv7+tJ5ujMm9fUy5h1X4DA1peNaWND3Y2VF36+NDf0ebG3p//LPZulSxXf9rbfoeDdv0m/EyIiMupERsTA5o8/AAML40FXDt94sdXV1rKSkhCUnJ7MLFy4IzeVu3LjBsrOz2eHDh1lRUZFWzjNs2DAWGRnZ+wH1NoJe5ICkUik6Ojq63aa9vR0JCQloaWlBcHAwrly5glmzZsHMzKxP5y4oKEBZWRnCwsKEdYzJ8j3e3t4YPnx4j8cpLCxESUkJJkyYoPJzqVQKT8+xqKkpxrx5wKFDFJc3NSXGW14e5R86OiiX8MwzQHIyJdZ5zmTLFmJTbd8OqAoPe3lRIjklpXNDL4mEEuIbNlCyNjgY+O03ivdXVxMjKjQUuHix+2Z0CQlEdoiKovzLb78RoWHpUsoP/JHuAkD5qthYGYssN5dyEvKJ7o4ORdLD0KGU6Pf0pHj+mDGUdB49WnUyf9w4ynGkp1PupqqK8kDbtlEe6N576b6Vm9+1tVHey96emGaWlqrvVyKh/Ms//0kkiTFjiDG4ZAnltG7epPWxsfT/9HTKXZSVUW6utZXOJf8rE4nobwMDyhGtX0/5jZEj6XvriiEIAHPmAKdOAUePUp4OAA4fpvelvByYN4++E+WfRXMz5fssLem9UtUMMCmJiC6XL9M17NkjI0bk59N38OablN/ikEqJlPDNN7RfZSU9M1tbOl9mJvDyyzLWnERCOS3+f4mEnk9EhGKTwdGj6V2zsqJ1w4bRPZmaUs7rxx+J/WlsTM983z7Kk5qamqGgoEAYH3TV0E0ikaCmpkYgM7T+0VzO2dkZDg4OsLS01IgMxcEYg4eHB06ePNnlWPKnwsDaP4KqttzyS1lZGTtx4gSLiooSlLMPHz7MKisr++wBKRe1NjU1CS53V/kedY6jasnKymJmZobMy4tmefv3y2ag+GPmt2KF4uzU35/i6o2NJGHCC/qCghRbLmzc2L0HI+99vPOOrKZj6VLyKoyNSaaGbyeRUKgjN5fyA5GRVK+yezfF+JXrXwCqVXJ2Vj2rxx/en58fhXqeeYZm91ysleeHrK3Jk1FHJuiDD2gfVa0YCgvpHIaG5BU+9JBiaHDOHPU8tsZGuvctW2Rip3wxMelc52JsTF7mHXeQx/P66yQfdPgw5cF487TvvqNwExd37apWS/l+RSLV29bXU+6N945Sbhg4eTJda0/3K5VSLsbdnba/4w7KSS5dStdaXEzvyUsvkXfIi2p5XdDmzZQrlEjIQ8Mf4eCuzrdjB33n+COfZWQkU3zn/ZAOHZKFWE1MKNd444YsUnDtGq13d3dl1dXVrKysjB08eFBr3o86XsuBAwdYQkICu3TpEjt06BA7fvw4+/3331lmZqZGnlhdXR0zNTVlqampWhhZ9R96b4AyMzPZ4cOHO/UL0lYbhdzcXKGoled7zp8/322+p6fjdLd8//33gijkqlUUpx8xQnEQW75cJrF/4QINKjyxKxaTEoKpKf3o/v1vCsuYmFBRp3Kuo6mJfqw//ECG54knaPCVl7wRiegHL09eUDYeXS3ySspjx1LS/YUXaGD4/nsavDMyOisLtLRQSM3JiYwFT2ZPmiTLWW3e3LUh4s3xpk/vXrgzI4OMD9fAe+45KsgUiUgqqLaW8j/vvy/r89OVYoGy0TEyojzF3r30jEtLuzecW7fKzsvX3bwpIz64uHSWvOHL9ev03cye3X0/oevXKVTGpXjKysigA51JEN0tZWWUW+H3yQ2ElZXsWXh6khE9dkxRjFR+EuPsTBMM5c9iYmQF0OPHU77OxITCzIxRQbS1NYXtQkNlhvrSJfp83Tp6HikpvGmdpZCDKSkpYYcPH+43A8RJUVVVVay+vp7V1NSw3NxcFhMTw06dOsUOHjzIzp8/zxITE1lRUVG3hbCVlZUMQK87jN5u0IsQHGMM7e3tCuukUilSUlJQVlaGwMBAODk5KXx+4cIFBAQEwEFVLEEDVFRUIC0tDT4+PkhISOhU36Ppce64445ut2tqasL999+Pc+fOwd6eQhX5+UR/XrOGQmiGhhTeOnCAQnCjRlGNTm4uhRwAopr+7W9UP8JDOmPH0naNjbK6HlWRTWtrGQX72jVaJxZT2GfhQiocNTOj+qSulvR0YMUKutY33ySarIEB0ZJDQnp+Xry4NjKS6n44GKMQ07/+RTU1trZUbPjKK4r7T5pEFHVe4NsdSkqIqv3hhxSK4jA2Vnw+IhFR0XmxLKcg83+dnOj/Li5Uf7JhA1HOnZyAn38mOnZXiI0FJk8Gpk2jGid5SjZj9F2/9BKFKCdMINoyr2lsbKTQpJUVhaWUfgqd0NEBvPMOFW5yKr6lJdHiGxroeM3NimFQ+dCYWKwYMpQvKjY2pm0CA4F77qGQ3/Tp9B6owgsvEMW8uZmOU19PFOozZ+i7/eADqol7+WUKPWdlUeEuQNT56dOp3IAxeh+Cguhahg6l95gxoLDQEFeu/I5xf7wIDQ0NiI+PVyhU1yXa29tx+fLlLkN+LS0tQhFsdXU1DA0NFQphjfmPGlRn6OHhgZqaml6Vldx2GGADyBjr7AHV1NSwyMhIdu7cOVZTU6PSk9BWG4WioiJ29OhRdvjwYZaRkdGn45w8ebLbbQoKCtiRI0dYbGwsc3NzETwI3r9l2zaaEb73noxau2OHrMulcsvt8nKaJcr3rxkxguTo16yhWT1vrXDjBjUzk9eb4xpaO3ZQeI2LWI4f31k7Tn45cIBmq25uxMxjjMKDbm60vqdeNlz1ubs2C5xVxfu82NuT+jJjMg9GXjC0rY3Yaxs3EiHB11dG74WSF8OT3Vybb/du9fr8TJtGM3F5ZefDh4lObWBAIaiams77NTVR+NHVtXsBzuZm8la4htuzz5IXERBA13r9usyzSE0lr/bVV0l2Rp41J88QlPdmzczoGsaMIa/krrto38ceI691wwZ6pp9+SsxHX18Zy87envZdt472s7eXHdfQkO7P35+8yG++kUlKnT0re3f/+U+6BkNDomXzZ1VQQPd3992yZ9HYSN4qvweRSKa6fekSrecyVMrhtoKCAnb8+PF+84DKysrYgQMH1JL4qa2tZXl5eSwuLo6dOXOGHTx4kJ07d44lJCSwqKgolpCQwACw9vb2Po2p1dXV7JFHHmE2NjbMxsaGPfLII51keJSh/Dvhy4cffihsM3PmzE6fr1ixotfXqRcGiDHWySBER0ezpqamLgdzbbRRaGpqYleuXGEHDhzQKN+jaiktLWXHjx9X+VlLSwtLTU1VaIiXnZ3NDA3J0Fy9KhtYLCxoAK2pkcn/r1xJITtPT1mI59Il2tfMTMZw41pzo0aRkegpzDJyJLG7+MDb2krsNv7Dvv/+zlTerVvpMz8/Cp3Jf1ZURIOloWHXTCregvmhh3ruecMN0cGDspYStrayttQTJ9L1W1oqDrQmJvTsli8nWvP339Pg/csv9Hl4OPXlWbVK1k46IKB7OrWqthTyBuZf/5LpwClvExREn/HvuaclMZGuR96AWFnRO2Bh0TlEamJC3/ldd1GIdeNGYggOGyajNhsZ0XM6dqzn80dGylqIPPEEvYsvvUTn4fR/qZTyQcePU6h0xQoKwcpfm4WFTLCVL/fc07lVxfPP0/VxgdgrVygMyo8VGEjsSENDMo4vvEDbi0Rgn3zySadBPi8vj508ebLfDFBxcXGvQ34VFRUCg3b06NHM0tKSGRgYsG+//ZaVlpb2ejydO3cu8/f3Z1evXmVXr15l/v7+nYRIlVFSUqKwfPPNN0wkErGsrCxhm5kzZ7KnnnpKYbva2tpeX6deGaCUlBS1PZFLly6xzMzMXhsMnu85e/YsO3ToUJ89qfLycnb06FGVRo6TGpRzVikpKcza2pyZmtJMmjH6IYtE5K0wRrNAQ0MZJfnAAarhMDKiZHdCAtFVzcwof7JtGyWQARqcu6ph4W0HVIldlpbSwMMp11u2yDwXAwNKpKtST2aMroW3BX/4YcXPcnNpdu/n13Nb6pYW8oDWrCHPw9W1cz2MvT3Nml98kQamkyfpHKryMGVllG9ydlasoSotJYqvnR0d092d8m3yx+D09q7aUvAlNVWmCj58OHlKL71Ef3Pvrb2dil937iQvYOFCGmDd3Tt7L9y74JOLcePImGzdSjU5N27Qfaky5K++Svvxwt64OPJ8DAwot6PqGXV0EIXa0JDeHfnaqIsX6Xiff97999bcTNf1xReyei9+L8HBnc+bl0fv8pw59J2/+irdq42N7LcQHU3v1cyZdDxefPzCCy+oHNSzs7PZ6dOn+80AFRYWsmPHjvX5OFVVVeyjjz5i5ubmbOLEiczAwIAFBwez6OhojcZS3orh2rVrwrqoqCgGaNaKITw8nN11110K62bOnMnWrFmj0fV0B70wQGKxmEVFRbETJ06oTSy4evUqS0tL63W47OjRoywmJoZVVlayAwcOdNszSJ2lsrKykyGrra1lkZGR3ZIaiouL2ZAhrszAgMJlRUU0ALzxhuxHevSorJUAr5eYNYsKLPk2nAW3fz95NF9/TbNigGbOW7cq/vjHjKGkd3ddL69dkzG/eCJ61CjySOSLVZUXsZiMAkDKzryhnIsLDbJZWYrbJyWRkVu0iK6L9+/hA5eLCxEseB+eZctk7cPlE/pdLVIp1SkZG5PB7mrg3LmTBnnucTz3HBnK0aO7bktRU0PXf/w4eR3vvy9TBZAP+fHW38p1QObm5Dnccw8pWr/7Lh3n7Fn63hwcqIB42DDad8yYnut9zp6ld2XJEkXj1NgoIxaMHKlYJ3X8uMwIP/98Z2WH7ggF8ktODhlVeXacSCTrG+Xhoaj4/vTT9L2cOEFKFQYGpHjQ2EgGbMwYxevnzyE4OLjLgTwzM5OdPXu23wxQXl4eO3HihFaOdeTIETZy5EgmlUpZRUUF++mnnzT2hLTRjK60tJQZGRmxH3/8UWH9zJkzmZOTE3N0dGS+vr5s3bp1rL6+vouj9Ay9MEBSqZSlpqay+vp6tQf869evK/TfUWdpaWlht27dUvCyOIWyr4oKNTU1CoaspKSEHT9+nN24caPHY9fX1zMfH28GEKvN358GH/mcRG6ubPCytlbMQ/DF2Zlm3tyoiMUUduLhKxsbmu2fPcvDFzSw3LhBM+VHHqHBk/de6YkNZ2REA7OjIw0U06ZR/ulf/6L8xJo1tN2wYbLmZs8/T/TrkBDaT37Gb2pKA9yTT5Ind+6cbLA6dowG1fBwGlQLCmQqD8OGyXJRqhbeufPtt9UzVsePy5QQ5PMnjo70DC0sVFOwlRd5tpy5ObW44JTshASi33cVhvznP2lfrjrQ2kr34ego6wOlyphWVdF3N3q0jEmpvOzZQ9uYmtL1zJtH1+rhQazLrp7NCy8ohuHkl6NH6T3j3VkfeYRygaam9CwZo9ydmRk9vzNnyFgZGsqUGCwtKUTLmKyzKf+7poYME3X7dWO1tbVdDuLp6eksMjKy3wyQNj2uX375hfn6+vZpPN20aRMbN25cp/Xjxo1j77//vlrH+OCDD5i9vT1raWlRWL9jxw52+vRplpSUxPbs2cM8PDzY7Nmze32temGAGNO8K2p0dDRLSkpSe3v5UFhpaamwvrGxUSuqCvX19ezAgQOsqalJoI6npaWp7Vk1NzezWbNmMUA2g96zh3582dkyKRyes+CyJPJ5GF4N/v77nQfVI0c6z8yVO40aGJABu+ce8mC2baOBPyODPJmRI+n/58+TgfngAwoxLVtGn7u6dj0oK8/8R4ygvjJvvUWDTHp61+GtoiKZpyA/qEql9Izs7em5PPVU5xBPYiLNsMeP73pgbWqiPNGDD8qa8MkbWR4Kc3Ojc6xfTzmu7dspMX7wID2T+HgaVKurZW2tv/5asX35Sy/13GCuqIgG+jlzOhuoxkbKuXAvcfJkRc/M05P2VWWcsrJIrueZZ2R5Q65WYGxM3+Mnn1ADOVUhuvPnaR8u6dTRQdR+JyeZp71xI9Wnca/TxETRW05KIi+a5xF5iPGOO2TKB1IpGVgnJ/r75k3ZPs8//zzLzc3t1gDdunWLXbhwod8MUGZmJjt37pxWjvXNN9+wCRMmqBwj33777W4nPADYjRs32KZNm5inp2en/ceOHcs2b96s1njs5eWlVlO86OhoBoDFxMSodVxl3LYGKC4ujsXFxantnXRV39PS0sIOHDigcd2P8sINWXR0NDt69CgrKirq1XHmzZsnsNqmTKGZork5Jd/Pn6ciPYB+vMbGNMN8803ZjzckhAa6oqLOA0hKiqzojxsckYhi61FR3Xdkffxxmv335EGIxTSYjxsnG7y5UeI5HFNTSsxv2dJ9d1PGaCAcOpSMQmqq6m0qKijfBNCgxWtFmpuJjGBhQUaBH+/cOTKwQUH0XPn1GRpSPua55yh39tRTsrwH13Lz8CBD0901c1HXlStl65Tbl7/5Ztc1Q4GB9B3m5HR9jupqGavMyIgmDVyb7tFHia12771ktG1tO+fPXFxkIc1p0+j/8tJHRka0n5cXhUbfe4+eq709vXvLl9N7yUkC332n+P7s20efvfpqz++hcvH0uXO0fvNmCimTjI8x2717N7t+/To7duwYO3z4MLt8+TJLTU3tJDqakpLCLl++3G8GKC0tjZ0/f14rx9q+fTu78847VY6RFRUVLDU1tdulpaWlzyG4ixcvMgAsPj6+x22lUikzNjbutXjqbWuAkpKSelSxbm1VzPd0FQo7dOgQq6qq6pMBqq2tZQcOHGCnT59WuxurquX3339nTz/9tAJVePRoGtT4D9TBgQaG3FxZhbujI/2Qs7JosHn0UcUf9Wef0WzU3l7GZLOzk2nRGRnRYLV5s2o68qZNtE1XA2JMDA1UfGCxsCCjdeqUTAAzI4M8sWeflREleMJ79WrVYbS5c2m7fft6Nn7HjtFxDQ2pcv+ZZ8jALl1KOTMXF8WBeMQIGrS3biWGmnKxrJMTDa5SqUyUlYeLlizpOn/m7U1GRl6pgi9XrtBsn4dE/+//FD//5hv6THm9slFOSKDrnj9fZjiUvU8rK5qQPPII5ZZ+/pkUo/lkZelS+k75321tZBwiIsjgPPwweUrKVHbOtly+nO5H2UtraKDvwcVF0cgWF5MHaGws87wA+v7ln9XcuTIjTZ+7soyMDGGQVqVaffr0aRYbG8vy8vJYUlISu3r1ar8ZoNTUVHbp0iWtHGvz5s09stV6AichXL9+XVh37do1tUkIjz/+OAsNDVXrXElJSQwAu3DhQq+u9bY1QCkpKez69etdfi6f7+mJLXf06FFWXl7ea6NRUVHBTp48yQ4cOMAqKir6ZMiio6NZYmIi++STTwQjpFz/wwep77+nvy9flpEFvL1lcj3XrlGYhMvOTJsmC9k9/7wsx5CWRvkRTlowNibD9M03sgHk11/pM3lDmJNDRoZTdnm75r17FQdzfr3ykv9SKQ2imzaRd8Hv1caG6MQ//USfiUQ006+ro9DQyZPknWzZQjmVxx+nFhTTp5OxGD5cdcjPwoI8grfeolBleXn3xmz/ftpPWdKmqooMqEhEg6QyK+x//6P9OOtN1SKVkmEODpaFrr7+mkKBlpZ0Hx0dZOBOnKD7nzdP5s3IyxwZGsq8F1tbWfjQzo72645k4uxMjMauPs/Lo7zP0KGK3hFv8/H3v6veb9062obnk0pLib1nYkLXzj2v558nVicXKo2MpHAb95IBsFmzZnUbbquvJ/ZYZmam4B0dPHiQHT9+nN26dYtVVFTo3AAlJydrzeC9+eabfaqr4Zg7dy4bP348i4qKYlFRUSwgIKCTYfPy8mL79u1TWFdXV8csLCzYF1980emYmZmZ7J133mE3btxgOTk57OjRo8zb25sFBwczsVjcq+vUGwPU0dGh0UDdnfp0V/merhZNdd/kl7y8PHb48GGWnJzMDh061GcDFBcXx+Lj41lrayv77rvvmLW1BQMoPyE/aA4ZQjN4eW9l1y4Zk4nXtjg709//+pdi7kEiocHa1lYWrpNKiZCwdq0srm9mRtTirVtlM/OXX6bz8xDenXeSkVFVhMkYDUQADbpdDXbl5WRoly+X0Wz5QNdTst/CgvIzXl4U+uuqj5KVFRnW9evJmHVngDw9aQbfVXHqjRsyAzJmDB2vrY3OMX5893Rtxui7yMiga+GDLb9PGxsyRPL3YWFBE4vHHpOFplJTidb900+0zc6d5H3s3CnzbLm8ze+/dzakBgYU0pVfn5REoUNnZ9n5g4LIgxo2TJZf4uE+b29FVltCAh333nuJIs7vz9CQQr3Z2fR8rK1l72NyMuUXjYxkStcGBmCvvvqqxgN4XV0du379Ojt79iyLjIxkBw8eZGfOnBG8o56MWW+WhIQEdu3aNa0c65VXXmFPPvlkn8fTqqoqtnLlSmZtbc2sra3ZypUrOxWiAmDffvutwrqvvvqKmZubq6ztyc/PZzNmzGAODg7MxMSEjRkzhr300kusqqqq19d52xqgzMxMdunSpU7r5fM96jaqO3XqlMY5m5aWFpacnMwOHz7M8vLyWGurdvTpEhISWGxsrPB3Tk4OmzNnjhAy27OHDAWPsX/xRefwzIYNsh8xj8OrYlvdukXejioNObGY8k+rVtFgqDyY+/iQUeqOjs2XkhLa58cfux+QN20iw8Z12/hAvG0bGacDBygPFhcnS/bLD/Q8zGhtTQysOXNodp2URIPyY4/RbJ7fg7k5Ga1nnqH8Bn8GKSn07JTJHMqLWEwJeRsbmWIAQAP4M88QY2/qVBqkhwyh8J2lpepeRvIGiGjGdD9nz9IEobuiXRcX8l6VyQ3R0ZTH4vRvNzciDbS1yfThbt6kCcKiRTQZ4eefMYNIFrwebeNGWs89O6mUvD1TUzKOBw/SuzdxIq37+99lqgfTp8uIErt3y/Jq8tdaVibrlWVgABYREdHrQTw2NpZFR0cL3lFGRga7du2aoHhy5coVrXpHcXFx7MaNG1o51tNPP63VOht9h15owQGAWCyGRL5Hcg8oKSlBbm4upkyZIqyrqqpCfHw83Nzc4OPjo7ae25UrVzBu3Di4uLiofa1JSUmor69HSEgIrK2tAQDnz59HYGAg7O3t1b4PZWRkZKCtrQ1+fn7Izs5GdnY2AgICUFlZicWL70NhYQkWLqQW13fcQS2Z8/JInw0gnaylS0mjTCQijS6xmNoI/P3v1P5ZXmJq40bSDfvqK+Dpp1Vf0xdfkE6dRCLTBDMwIC2vwEA63+OPq26XwK/J2JhaOSu3uU9MpPbXFy6Qfp23N+mHPfII6as99xxw7BhpjnWF1lb6/MIF0lv7+WfSE7t+nf5eswb45BPZ9oWF1Eb60iXg7FnStQNI6t/NjfTKamqo5UJbG7V+rq8nHbWWFlrHWwdw/TT+THjbAYC+EwcH0m5zcwOcnen/youdHX2XTk7Udvu99+g7dXMj/bpHH+363j/7DHjxRbrnFStUb1NfD/z0E22bnEwtPQDSCrS0pHfI2JhaVyxbBtx3n6Le3OXLpCM3YwZw/rzisZOTaZ+sLNKw49qChoak1/fdd/TuAaQHN3o0naugQHaMyEj6ntPSABMTY5w8eQqhoaFd33QPSEtLg6GhIcaOHauwnjGGhoYGoYVCQ0MDLC0t4ejoCEdHR9jY2PSqfUN6ejoMDAw6na83eP755zFixAhs2rSpz8e6HaA3BkgikUDMm4GoAXnxT8YY8vLykJGRAR8fHwwbNkyjc1+7dg0jR46Eu7t7j9s2NzcjNjYWJiYmCAoKggn/NQO4ePEifH19OwmnaoKsrCw0NjYCAGpqahASEgIbuZH9n//8J/77360wMWF45BEyHB98QIN4YSENuEVF1JvnscdIGHTYMDIChYU0yK5cSYN8cDAd08eHhE6Tk2WDBUCDa3g4cPw4Hee994DFi8nwrFsHXLlCA1JDAw2+9vZkkJYto3NbWcmOZW5O+/z733Tcjz6iAbG4mAakBx8Enn2Wrp+3UWltJRFQa2vqK6MKUVHUF6eujvrU/OtfikKf99wDXL1Kn8uvl0dVFd3LmTN0TYzJDLe1NS12dmRMHBzo/3yxtSWjtHEjiZiamVFfHU9P6pMzalTP3/ny5dQP58IFGuTFYurFs3Ejic66uFAvqNWrFfeTSgFHR/p+ExK67iF08yb1zzl3jrZrb6d9RSJ6vh9+CMydS/epjJoa6lXU0kKirsp9hqRSEmZ96CGZ0GtgIPDLL9SfSh7//jcJy545Q4K3+fkkMhsRAVhZmWHr1k+xoisrqgFSU1NhamqK0aNHd7tde3s7qqurUVVVheo/aJJcJNTR0VHht62N86mDxx9/HGFhYfjnP//Z52PdFhhA70sBYrFYo1BVcXExO3nyJGtqamLXr19XO9+jalFX1ocz6rpqBX727FmWn5/fpxBcUlISO3LkSLchxNTUVDZmzGghdGNrS9XzZmYU4omIkIU2nnyStjl5kuLzd98tCwFNmED02ZwcCpvIS80kJcnyQBs2UK6B55kMDKhqn4ehYmMpN7RggUyunzPzZs+mMKGlJX1+772ynIePD4V5OEVa1fLJJxT6UdXFdf16CjW6u3etDsB70rzySvfhtBMnZCoTr75KYTMjI7Avv+x+v7Y2mcJDRgaFwbZtkyk1qKpNkl8uXKAw1fPPqw7x/fijTJ3ByUmxrfo779D6o0dl63hN0/LllFfh+TSArpO3fjAzk7Hxpk7tzADkYTbOlFPWsUtPp7wiZzPykK+xMYU2lVmLxcV0ztBQIka89x4XXRWx1atXazU3ExUVxRITEzXOHRUUFLD4+Hh29uxZduDAAXb27FkWHx/PCgoKuhUajYqKYklJSVq59nvvvZdt375dW8Oq3uO2NUBlZWXs6NGj7OzZs+zChQtq53tULVeuXOlW1kddRl1kZCTLycnp9XWUlZWxI0eOsBMnTqilzPDOO+8wExORMOD7+tIgqJwTcnAgwgHv2dLSQkaFt8K2tZW1Av/gA0pyGxvTfvJ6YMpGTX4wlB80o6PBPvqImFvyRZ08x2FiQrTrxMSeG881NdF1ennJ1lVUyIRalyzp3oAxRoOupaXqAlCJhAgehobEJIyKovXV1cQaNDCgpnJdHXvaNDJayn18iovpuPiDkaaKRs6/m6FDu6+HEouJrcgbGTo6kuG2siJm3IYNlHuxs1NUXwgNJULJzz8To62jg56FkRERQiQS+q4NDMj4Xr6seN6dOxWNd20tUf0nT5adw8dH1oL71VeJGOHjI9Oc47mrJ5+k7T/7jN5FkQgsJCRYUEDR5nLlyhV28+bNPh2jsrKSpaWlsaioKHbkyBF25MgRFhUVxdLS0lhlZaXCtpcvX2YpKSlaufZp06axr7/+Wmvjqr5DbwyQRCLRaLDOzMxkBw4cYLGxsX2W0bl27RpLTU1V+VlzczO7ceOGWky5ixcvsqysrF5dQ05ODjt8+DCLiopiFy9e1Gg/ExMTJhKRIXnvvc5stNOnaUD4xz9Uz/xDQmTUXs58mjpVdR0LX/z91VN43rtXRr/lx5enERsb08Dp7U2z7Q8+kHXU5MfgnUCvXiVygYUFzZ6/+ko9RW0u3698/7Gx5BUARK1WbqrW0kLXpEpYlTEamLnR7urcZ88SS04kIo9T/pmuXNkzO5Axuq5Tp8jjGTtWsR5H3rtZtoxYbVeuqKZfv/AC7aPMfLt6lYygkRF5lYwREcPUlIzeyZOkXm5iQvs7OxPJoKqKDK2NDXlb8pOGJ56QMQS59BOncjs52bE9e/aw6upqnbDSLl26pFXD1p13VFhYyM6fP89u3bqllXMFBQWxX3/9tc/j6e0CvckBSaVSdKjqnqYExhhyc3ORkZEBqVSKOXPm9Kr3ujySkpJgbm7eKYnY2tqKuLg4AEBwcDDMlAPgSoiOjoaLiwtG8I5aaoAxhszMTOTl5WH8+PHo6OhAYWEhJk2apNExLl26hKeffhr5+bkwN6fE+9q1lPgGgDlzKPYeHS3L/cjjyBHK9wAU1zcwAKZOpZzPokWdm741NlLuwcSE8grK6TOpFFi1inIPXl4U53/1VTrP1q1EGkhJofxESgodIyND1iDOyIgS5G5ulEc5cYLySK2tRFTYuxfw9VX7EWHWLLr32lo69iuvAJ9+Snmr3bu7JjlIJNQs7dNPiShw4QI9m4gISvovXUr5ju5ewbY2ImC88w7ll156ifJkd9xBz+h//wPKy4kUER1NOaScHKCsjAgCra2yYxkZ0fnb2+mcBgaUz9u2rfv7//JLSvQ//DB9J8qorQWeeIIa4fn60nWmp9N3UF9Pz37mTMoDhoXRPowRYeHUKdWNAX/4AXjqKcppSaWAkZEB/v73l4X8hvzQY2BgAJFIBJFI1CsigDzi4uLg5uamVk63N2hra1PIHUkkEtjY2GDo0KFwdHRUaDCnCRhjCAsLw9atW7FgwQItX7V+4rYyQBKJBMnJyaiurkZAQACio6Mxe/ZsGHWVXVYTKSkpMDQ0hJdc1rSurg6xsbFwdHSEn58fDLtq+SiHuLg42Nvbw8PDQ63zqmLTqWL3dQfGGKRSKaR/0NOSkpLw4osvIiEhFsbGwPPPA+vXU7Lc2ZkGiZgYxQ6W69bRAObuTky5DRsoIW1mBlRW0uAxZgyxwhYtAqZMoYEwMZEGo5AQ4OJFGbuqsJA6f+bnE7Puk09kLL2wMOoO+vPP1BlT8XnQwJuSIjNOCQk0EMo3zDU0pHOZmtJx7exkTLOhQ6lr6ZgxZKg8POhaL16kAfTpp2nAzM2l+9mxo+cOo4wRaeK114hcEBFBjK+xY4n1ZWmp6rslgkVBAf1bWkrP64cfFA2KtbWsey2HuTkZXS8v+r7GjKFl7FgiY8ybR8SEa9fIaJw+TeSNyMjOJAGAyAf33AP4+9PzVIXmZnpGL71EEwH+nL29yQCvXt2Z5PDdd8R+fP116r4qjxs3yOj+9hs9PxcXN9y4cUOhg7FUKoVEIoFUzo0FIBih3hqjmJgYDBs2DK6urhrvqymkUimuX78OKysrtLS0oKmpCdbW1gKRwdraWu0JMmMMPj4+2LNnD2bMmKHjK9cP6I0BYqxzW255NDc3Iy4uDkZGRggKCoKxsTFOnTqFO++8E6ampn06d1paGiQSCXz/mFIXFRUhJSUFY8eOhYeHh9ovUEJCAqysrDBGnkrWBVpaWhAbGwsjIyMEBwcLjJuysjJkZmZi2rRpPR6DMSb8gJV/rOnp6Xj++edx40YURCKaibq7U/vsrVvJO6qupll4airNyP/3PxrMn34a2LmTPIO5c8mARESQcejoILr1ffeRx1RSQgPUU0/RLPuHH6hVuKEh8M03nanBYjENqoWF5NV018aanikZirw8GugbGmgwDQoir6GkhJbycrof5TmMSEQsOxMT8to4zMyo7bmBAS2GhrJF+W++pKXRdXOMHk3Hb2qStT8Xi2X/9gQDAzKYq1fLDMyYMWRcVL1y168Dd95JzyEri74HqZSM4z//SX+fOkXGkSMjg4y+iQkZQ26gJBJqaX76NH0PV6/SNRsZyf6VSMhj+u67zsanqIjYk46O9F4AtN/+/cDHHwO//w6YmIgwbdosfPnllz0yU7kRkjdIsudkICzq4MaNG/Dw8IAzd/91jKioKHh5ecHBwQFtbW0Czbu6uhoGBgaCMVJuv60MxhhGjBiBs2fP9omGfjvhtjBAlZWVSEhIgLu7O7y9vYUX8eTJk5g+fTosLCz6dO6MjAy0trbCz88P6enpKCwsRGBgoMYvcHJyMkxNTYXe9F2hpqYGcXFxcHFxga+vr8IPq6KiArdu3eqxn738j5XPFlWhoKAAzz//PC5ePAf+TfOanHXraJD573/JaMgfYuxYGmTi4mgWDNAAs3s38O23QHw8DbxGRjQ4t7WRJxQXB4wfTwarKzvc3EyeSVMThZ1CQlRvt2sX8MwzdL2HDtFA6uVFXtn+/cDChcrPhOjW5eWKS1kZXXNeHg2kUikNnlZWdP/y9Tw8XMT/L5HIlrY2GdUYIEMxahQNwvLUbHmKtvzf5uZkqE+dovvKyCDvZM4c4OjRrmnUAIXl7riDvqP0dDq3PK5cITp3ZSXVEr39NoXVwsLoe7x1i+7rzBk6/6lTFFozNCQPcNo0Ov6GDRRaTUykMOWOHfT3pUv0nfHnPH8+1VClphI1/euvaWJTXAxYW5tj5crHsXnzZrWpzMroi3d0/fp1jB07Fo6Ojr06t6a4cuUK/P39YWtrq7BeKpWirq5OMEjNzc2wsbERDJKVlZXC75YxBicnJyQlJSlEY/7M0GsDxPM9mZmZKut7zpw5g0mTJgmFoL1FdnY2amtrIZFI0NraipCQEFiqiqv0AFWhPGUUFhYiNTUVnp6eGDFiRCfDUVVVheTkZMycObPLY6hrfORRXl6OF154AadPHxMKJa2tqY4nKEjV9jTgeHhQyI6H0ORx5Qp5R6dP08DPcdddwPTpwMSJNBtXZcdLSymcZWxMs2V5Y9XSQsWV33xD20RF0SAHkBfj7U1GJSKCQoLdoaODvL3PP6fcxksvUZhx5EgajEeO7H5/joICKtTMzKQi2T17yBM5fJhyZT2huZk8xnPnyAvduJGM2ttvA5s2AUOG0H2qSh9mZlKIra2NarW6uuaqKqq/OnaMnr2lJYXVJk0iI5SXR9vZ2FCtzgMPkPdlaUnfH/cq8/JkYcm9eynM19YGbN9OhnPXLtpv9WrAwoKMT3s7MHz4cCxf/gBeeOEFrYa/eIiZLz15R1evXoWPj0+fCsI1wcWLFxESEgIr+cI3FWhtbRU8o+rqahgaGgrGiBsvZ2dnFBUVYciQIb2+nk2bNuHo0aOIj4+HiYkJamtre9yHMYZ33nkHO3bsQE1NDSZNmoTPPvsMfn5+wjZtbW1Yv3499uzZg5aWFtx99934/PPPNa67lEffsn1ahPIgKpFIkJiYiLy8PEycOFHlTRoaGmpUvNoVxGIxqqqqYGBggClTpvTK+AD0Y+hKzYExhlu3buHWrVsIDg7GyJEjVRoOAwMDIZ+j6hjyM0N1jQ8AuLi44LfffkNubhFGjPCAgQENOrNmUZ7oyhVAfiri4gJ8/z2FndauVX3MadNoaW6mQYxHQn//nXICCxbQcYYNA+6/n0JFFy5QGM3NjbZraSGDVVZG+2Zl0eDJB7m0NJnxAchrSU8HXF0pbHjgQNf3XFFBx/7iCyq+vXmTBtCjR8mgTJhAM/2eEB9PnkRODnle335Lnp5USnml777rfv+GBvJyzp2jgtKNG2m9oSEVZx48SN+FlxcdXx4FBfQdNTdTCE6V8WGMPI8bN6iQ1cGBnm1kJBm52Fh6bq+9RrmvujoyTC++SN+bVEpqCwUFZFDlc2LLl5P3FRxMJIaZM2k/gJ7Djh0ihIXdgf37D+K///0cL730ktZzLwYGBjAyMoKJiYmwGBkZwcDAAIwxiMVitLe3o6OjQ+G30V+QSCRqnc/MzAxDhw5FQEAApk+fDj8/PxgbGyMnJwdz5szBrFmzAAC5ubnoi1/Q3t6O+++/H88995za+3z44Yf4z3/+g//+97+4ceMG3NzccM8996ChoUHYZu3atdi/fz9+/vlnXL58GY2NjVi4cKFGCjadoEuKnabg1OLq6mq16ntOnTrFCgsL+0TBzs/PZ4cOHWInT57sc1vurlpENDY2sitXrrDTp0/32PaB1zcpr29paWFNTU2soaGBNTQ0sMbGRtbU1NSnZefOnczZ2VmgRQ8fTsWF8n13Hn1UppqtTFGePp0+u+MOUtnOzKRiwzFjqF14ZCTJ74eGKtaoiERUXLlqFWmmGRmRcOqPP1Jti5kZdXLtjprc1ETimIaGioW3fImLI2qxsTHVnih/npBAtUFWVqQv19V5TpygwkpLy85N3hoaZEWir76qWoC0upqa9RkadtY/k1/S02X1My++SOvKyuhZmpjIxESbm6nO6ptvqMZn5kyZAC0ga1oIyMRcObW6q2XzZtr+zTdVfy6VErWb6+iJRGDm5sbsscceY0VFRSwlJYUdOXKEFRYW9vmd1HRpaGhgtbW1rKamhlVVVbGSkhJ26NAhlpeXpzOat/zC27D0VVcuJiaGrV27lgFglpaWbOjQoexvf/sbu3nzZq/H02+//VZlXyBlSKVS5ubmxrZs2SKsa21tZba2tuzLL79kjDFWW1vbqe9PUVERMzAwYCdOnOj1NeqNBwSQF1RZWYmoqCjY29tjwoQJ3RIMjIyMem19GWPIyspCQkIChg8fDlNT0z7TuVV5QM3Nzbh27RqkUikmT57co3dlaGjYyQNiciE3fp6+XisAPPzww8jNzUVRUdkfs6Xh2LKF8iOBgRTT37KFwkJPPEHeCUChIjc30gh7910K4w0dSmG0I0cohLN0KYWmtm0janFNDc3iIyKIOWVsTOGdHTso15KSQl5KUxPNuktLKe+TmEgehDIsLCiHMnQoeVd798o+++03YurV1VHu4vnnO+8/fjzlRUxMgNmzFffn+OYbynXY2FAYbPx4xc+trOgYixaRdxcernitFRXkkcTHk0fX3YR03DjyYFasoJxcUBB5b7m5RPj4+GPKy1lZkTf2xBMkw5SRQd7Jhg3k8ezcSc9z5kwKyS1aRPv6+RFJQxlnzxKBYdo0+i45JBLyVtesofDgtGnkpZqZmWHSpMn45ZcIPPjgg7h16xaysrL6rIHYWxgYGMDY2FjINd28eRP29vawsrKCVCpV6R1pE/x46rBku8O4cePw0EMPwdLSEhUVFdi1axdsbGy6JWZpCzk5OSgtLcW9994rrDM1NcXMmTNx9epVAMQs7OjoUNhmyJAh8Pf3F7bpDfrGX9YiGGPIzs5GZmYmfH19MXTo0B73MTQ07JUBEovFSE5ORm1tLSZNmoTW1lZUq/p1aghl48HFUYcMGQIvLy+13HTlEJy88dGW4ZFHQ0MD4uLisGrVKnz44Yeor6/HRx99hF9+2YP168uwbh2RBIqLyajMnk25ABcXCmUpk/XuvpsM10svkbbb11/LyA2mpnSMpUtl2586RQMs/50xRkbqp59kwqcAGYGRI2mgHjVKlp/at49qlVasoPqW5GTKqXh40IDeHcV62DAylv7+lA/59FOqqWGMcjPvvUd5o5gY1fRmgIgDBw9Sjc9771Gu5uhRMmyzZpEB+flnChfy+6utJeZecTEt8v/Pz6djJiTQc2OMjm9lRay9lSvJuCxYQJMAeZw6RSQHT08K9/F6pR076PsYPpxqljh5o6CAjL2DA23f3k4Gad8+2q+mhphsY8Z445VXVuPJJ58UauEkEglu3ryJiooKmJiYIDY2Fvb29nBycoKzs3OfiUGaoq2tDXFxcbC0tIS/v7/wO5L8UdHM/w9Aod6or6E6fkxthPwaGxthaWkJMzMzzJ49G7Nnz+7zMdVBaWkpAHQKnbq6uiLvj8RhaWkpTExMOk0yXF1dhf17A70yQHV1dZg4cWInNklX6I0Bkqc/T506FSYmJmhvb+9bHPMPyBuPgoIC3Lp1C97e3hg+fLhGx2ByrB/+A9KF8amoqEBSUhI8PDwwatQoiEQi2NnZYdOmTdi0aRNycnKwadMmnDhxBGJxA5KSyCNxcKBBtavk+4svkiH46ivKa7z2murt3nyTPCwXFxrwzp8nMdG5cynJn5pKuQxepFpQQLPy48cpKa48mX3oIfrX1JToyv/+Nw3cXFBU1f+trMhQ3XMPXXdREZ3nhx+o3ubIETICLS00QPOaHeX/3303/fvhh2Swra3JoEydSoP+xx/TscvKFGt+AGISmpqSkbOwkAmFmpoSieLtt4nZ1h3i4sgQOzrS//l4KBJR3mvqVDKCixdTvueLL+j/TU0yodODB+lvMzNDBASE4Mknn8TKlSs7Da6MMaSnp6Ourk7w6pubm1FZWYnKykpkZGTA3NwcTk5OcHJygr29vU5zMm1tbYiJiYG1tTX8/PyEc8kbGGWat3ztXF+KYFWVQPQWTU1NXUZINm7ciHfeeafb/W/cuIEwXiXcCyiPL4yxHsccdbbpDnpjgAwMDBASEqKRi6wpCaG6uhpxcXGd6Nyqwl69Ab+elJQUlJSUIDQ0VKHwTh3waxKLxRCJRDrzfPLz8wVv0015Kv0HRo0ahf/9738AiNp63333oaWlCTU1FFqyt6eB9+67acD39JR5O19+SWG1DRsoNLd8uey4jY3kHcTE0Gx8924yapMn0wC4aRMNiN9/r5qhB1CYKT6ejMeePRRq45BKyaApU6nVyetu3iwbvM+do1Chpq8Gb9/AGN2jqSnRsIcMofCZhweF0/z8gIAAGcmC1zgVF1NN1sKF5PG8+SZw8iR5J6pYzbm5xNAzNCRjrcr5CAggw7RmDXmle/fSs2aM6PiWliYIDZ2M5557DgsXLuxyQJVKpUhJSUFtbS3CwsJg/gc90sLCAiNGjMCIESMgFotRXV2NyspK3Lx5E2KxGI6OjoJB6mvdnjxaW1sRExMDW1tb+Pn5dfk7kf+t8/uQp3nz37+mRbDqEhDUQVNTEywsLFTew4svvogHH3yw2/3VLYBXBv/9l5aWKqhHlJeXC16Rm5sb2tvbUVNTo+AFlZeXY6o6NNAuoDcGqDfQxAPKz89HWlqaSo+kt6E8ZUilUjQ0NKCjowNTpkzpVRiCv3xtbW0wNTXVuvGRSqVIT09HaWkpQkJCYCffHKgbTJo0CeXl5QCoLuv777/Hnj17cODATURE0EDm7EwhOm6Qzp+ncNnKlZRHmjiR2Hbz5lE+6D//IYad/O299x4ZqG3biKG1Y4fqokwjIxrMv/2WjunnR6GjBx6gQfi99zp7XvX1sqLV8nKqmamqolDTrVvk7dAzosH8rrvIyHLvxNxc9q+5OQ30fLG0pGNs2CArMM3OptDg55/LGIJdoaGBjEh0NOVxVq2i9cePk4fyxhsUcjt/XjEXVVVFz7yhgYyd8lyipYXWR0XRc7p8mdY3NgKGhiLMnn0v/v73v+POO+/s/gJB705SUhKam5u7zc8aGRnBxcUFLi4uYIx68FRWVqKoqAipqamwtrYWjJGNjU2v3++WlhbExMTAwcEBPj4+Gh2nO+9IfizoqQhWIpH0Of/D0dTU1CWVmz8vXWDUqFFwc3PD6dOnEfyHTld7ezsuXLiADz74AAAQGhoKY2NjnD59Gg/8IWFSUlKC5ORkfPjhh70+921tgNQhIUilUqSmpqKsrKxLj0QbBqixsRGZmZlgjGHy5Mm9kgfiYTdLS0tcvXoVDg4OcHFx0dqskUv/tLS0YNKkScLsVVM4OTnh5ZdfxssvvwyAXsRdu3bh+PHjOHLkJn7+uRWMkfLCtGlElZ4/n4zDzp1EoT59mupTVGHrVpqd79xJg/snn3Q2Qs3NFFZKSKBqfb5tbCx5Vxs2kCeyaZNsXxsbWpTLtM6dI0Nnbk5G6OZNKsLMzCTPQ52ePkePUjLf0pI8s5Ejqbj3228pbHngABklVWhsJJr2jRsUtpTv+2NgQMedOpXIFmFhFOZbu5aMy4IFlMc6doyMcGEhqRpERRHVOjGRvEA+flpb22LhwulYs2aNRjNXiUSChIQEdHR0ICwsTG29M5FIBBsbG9jY2GD06NFob28XQnX5+fkwMDAQBldHR0e1fzfNzc2IiYmBk5MTvL29+zRJk/eOePhb3jviURZV3pFUKtWaAeI5oL4iPz8f1dXVyM/Ph0QiQXx8PABg7NixgoHz9vbG5s2bsWTJEohEIqxduxbvv/8+xo0bh3HjxuH999+HhYUFHn74YQCAra0tnnzySaxbt05QdVi/fj0CAgL6lKvSm0JUQPOuqMoSOspoa2tDfHw8JBIJgoODuxxwW1tbcf78+V4Lm1ZUVCAhIQFOTk6or6/vlY6TfKJUJBKhubkZFRUVqKioQH19PWxsbODs7AwXF5devaQtLS1CYdr48eN7LZioDvLy8rBr1y6cPHkSN28mCAMgD2U9/TQZJl9fYtx1dTsrVxIZYcMGqiviX018PBmZxkYyTi+80NlALVpENS3PPUessq6iJDt2EEvO3p68D15nc/IksdosLMgL6U4b9rvvyGi4upLxks/T7t5N92tjQ0ZImbTBjc/16xS2/Nvfuj5PaSl5VJcukZdpYUEG8+67KcR38aKsnsrUVARX1+EICwvDggULsHjx4h7FdLuCWCxWEOXtq/Yih1QqRW1trWCQmpubBSKDk5NTl+GopqYmxMTEwNXVFZ6enloPTytfY3dFsDU1NcjOztZIPLgr/Pe//8W1a9dw8ODBPh1n1apV2L17d6f1kZGRQq2RSCTCt99+i1V/uNrsj0LUr776SqEQ1d/fX9i/tbUV//jHP/DTTz8pFKJqkuNWxm1tgDIzM9HS0oKAgIBOn9XV1SEuLg52dnYICAjodpbS3t6Oc+fOaSxsypisE6uvry/Mzc2RmJgofMmaHKc7pltbW5tgjKqrq2FmZgZnZ2c4OzvDzs6uxx9gXV0d4uPj4ezsrJD76i+kp6fj4YcfRmpqKkQiCp9xzTaRiDyD8eMpT+HrSzN5Hx8aYBcvpuT4e+9RGIq3B7ezo6LN7iTzHn+cjMPDDxMNWt7mSiQyEdaAACI7KI/PaWlkeFpayBByJps8Pv6YutF6eZFhVDXGJyeTMkRjIxnDZ56h9Y2NRLi4do3CdKpaojNGhiczk2jwaWnEQpSXBDIwAGxsLDF6tBdmzZqFBx54QOVvojdob29HXFwcjI2NERgYqLXZviq0tLSgoqIClZWVqKmpgampKZydnRWIDI2NjYiJicGQIUMwduxYnRofZcjni/j/i4uLUV5ejqCgoD4JqALABx98gOzsbPz0009avnL9xW0dguuKhMBjk2PGjBHYXT0dB4BGRASejC0vL8eECRNgZ2eHuro6jckM8rOrrvI9pqamGDZsGIYNGwaJRIKqqiqUl5cj4Q9pY26MHB0dOw0QZWVluHnzJkaPHt2l+oKu4enpiejoaDDGkJ+fj6ysLLi4uCAuLg5XrlxBcnIyrl/PwenTtQqGadgwMg5WVpSI37ePBvlJk8j4dMGdELB7NxmqTz+lHMmvv5KBqK+ncNbp0xQW/OUX1ft7eVGCPzCQtv/gA1IW5/To116j+p+pU8kr6Wrc8fcnZt2UKURNj46mYy1aRMbn00/JEJ07JzM0GRmUU8rJUVTPNjaGnJSSNT744AMsW7asRxmY3oCzyywtLREQEKDziYu5ublAZJBIJKiurkZFRYVAZLCxsUF9ff2AGB+gM5GhoqICOTk58P5DLFGT3JEqNDY26uR71Gfc1h5Qfn4+ysvLBeohp4cWFBRg/PjxcFFWbOwCjDGcPHkSM2fOVCsvwmeFyqG9hoYGXLt2Dffcc49a5+SeDyCrTdAEXOywoqIC5eXlaGtrE/JGjo6OKC0tRXZ2Nvz9/dV+FroCYwxpaWkoKytDUFBQl1T7kpISnDp1ClevXkVSUhJu3kyCSCTtpHJtY0OkB3d3Ype5uFAITNW/H39MHtSMGTTYL19Og/x771F4ryfwws6rV2XtJZ59lryrZcs6F7FKpeTd1NZ2Xt55h4yamRnRuI2MaHv5+zMxASwsrOHmNhSjR4+Gr68vwsLCMHXqVBgbGwteQkNDgxCadXZ2hqWlpdYGZZ7gt7Oz6ySY299gjAkTKRMTE7S1tcHKykqoOeoLkaG3qKqqQkJCAnx8fODu7t6jmrc6NO9XXnkF1tbW+M9//tMft6AX0CsDJJFINKJVFxcXo6CgAJMmTUJHRwcSExPR1NSkljCgMk6fPo0pU6b0uF9DQwNiY2NhY2ODgIAAhZBdc3MzLl26hDlz5nR7DP6i8kevjR83YwxNTU2CMaqvr4dIJMKwYcMwfPhwrSQ3ewuJRCKwp7rLxXWH7OxsvPHGG0JurKamBg0NDWhubkZHRysMDMgrUfX6mJnResbIezAyImp4QIBiuwWu7K1qMTIij6qsjGptqqqIPj1jBv2/uprYdPX1RKDoyhE2MCAPSiql6zE1NcXkyZMxYsQIBAcH48EHH1S7Dq61tVXIn1RVVcHExEQIWTk4OPT6vWpqakJsbKxWEvzaQH19PWJiYoR6tfb2dlRVVQn3LhKJBGPUU8sDbUDZ+KhCb9S8n332WYwePRrvvfeeTq9fn3Dbh+AkEonwgzE3N8eUKVN69QKqw4TjYS8PDw+VIQBeRNqdGKJ8DFmbFGuRSAQrKyuYmpqiuroaFhYWGDJkCGpra3Ht2jWN80baAvcWDQwMMGHChF4PDqNHj1YrNs4T1AkJCUhLS0NFRQXy8vKQnZ2NpqYmAGSM0tJI1FQkkhEYqMOoCAYGoj++p85zMwMDMjYiEbHs9u+H0PNlxIgR8PMjhpCjoyOcnZ2FzpxDhgzBsGHDYGNj0+l6Y2NjBSqxJkbDzMxMITRbU1ODiooKpKamoqOjo1e1N3yCNVBhLmXwxpA8hAwAJiYmcHd3FzyPuro6VFZWIjs7G0lJSbCzsxPuW5teIaCe8QE0p3kD3Rei/llx2xugtrY2REVFYfjw4X1ixPSkZJ2Tk4OsrCz4+/t3+eLJv3CqBhJdy+o0NzcjPj4e5ubmmDRpkuCdaZo30haampoQFxcHGxsbQR5F17C0tMSMGTMwY8YMgWXFCRytra0CLdjPz6/f5WKUwQd7d3d3jBs3rk/vg6GhoTDoMsbQ2NjYqfaGe0dddenkg/3IkSPVyp3qGrW1tYiLi8OYMWO6bHNvYGAAe3t72NvbY9y4cWhpaRE8o6ysLJiamiooMvTlXa+urlbL+Ki6RqDrIlge9SksLBzQUOdAQK8MkCYvPI8Lt7W1Yfz48X3qnwF07QFxzauqqqoeZYK6IzOoQzboC2praxEfHw93d/dOhtjQ0FChMJAPyunp6ULeiBskbVWp8+sZOnTogM2kDQwM4ODgINxffHw8bG1tIZVKcfXqVVhZWQn3rUnrZG2gpqYG8fHx8PDw0KjrrjoQiUSwtraGtbW1ELKqrKxERUUFcnNzYWRkpBCyMjQ0FAZXeU9jIFFdXY34+Hh4enpq1G/G3Nwcw4cPx/DhwwUiQ2VlJVJTU9He3q7gFWpCS+fX4+3trZHxUQVl70gqlSIyMhIJCQmYO3dun459u0GvDJC6kEgkSE5ORlVVFQwNDftsfADVcjxtbW2IjY0FAEyZMqXHF5a/VPKGTJlsoAvjU1JSgpSUFHh6evbIyReJRAozRp43Ki4uxq1bt7SS1OYJ43HjxvWpRkBbKC8vR3JyssJgJj8o5+XlwdjYWGFQ1uVMlGvwaTq49hYmJiYYMmQIhgwZAqlUKoTq0tLShIR+Q0MDxo4dqxfGh4e5vLy81BIl7gqGhobCuyyfIy0pKcGtW7dgaWkpeIW2trZdvuvyxkcbY408DAwMcOXKFTzyyCP48ssv8cQTT2j1+PoOvSIhSKVSdCjTnZTQ2tqK2NhYGBgYwNvbG9evX+8x6a8Orl+/juHDhwsvGK8jsre3h7+/v9qu+6lTpzBt2jRYWlp2Ihv0hunWHbiCeH5+PgICAvos1dHXeiNeF5WdnY2AgACNW5rrAgUFBcjIyOiWCSg/KFdUVAj5Ez449battCoUFxcjNTUV/v7+Wm/cpik4LZ6Lh7a0tAw4u6yyshKJiYkah7k0RUdHhwKBA4CCIgPPVerS+ABAVFQUlixZgg8++ADPPvvsgIc9+xt65QH19PBramoQFxcHFxcX+Pr6oqOjo8ekv7qQD8GVlpYiKSlJ7ToiefBckq7IBhy8DqmmpgZhYWF9bksOqK434ioPQPd5I3madWhoqNpMLl2B93sqKCjoUfOOkwgcHR3h5eWFxsZGVFRUoKCgACkpKVqjOufl5SErKwtBQUFwdHTs5Z1pDyUlJcjMzERgYCCcnZ2FQbmiokKY5Ml7hdpSQOgKFRUVSExMhJ+fX5cCudqCsbGxQGTgSvy8ric5ORm2trawtLRESUkJvLy8dGJ8oqOjsWzZMvz73//+SxofQM88IMZYlw2YeHsDT09PjBgxAiKRCGKxGGfOnMHdd9/dZ+olV02QSCTIycnB+PHjezVDjYyMRFBQEKytrXVmfNrb25GQkACpVIqgoCCtqgurgnzeiCfz5fNGRkZGfaZZaxNc/6+6uhrBwcF9Ku5T9gp5dT73CtWZ+HBjWFhYiODg4AE3zoDMMwwMDFRpDOVlcioqKtDS0gIHBwfBIGn72pQz+QAAWHhJREFUOy4rK0NycrJeeIatra3Iz89HXl4eRCKRApGB58z6ivj4eCxYsAD/+te/sG7dur+k8QFuAwMklUpx69YtlJSUdJo58gLSWbNm9VrniiM+Ph6NjY0Qi8UIDQ3ttUdx4cIF+Pj4CIOTtl8sziyztrbWKDSoLcjH0isqKlBXVwdDQ0MYGxsjICCg21h6f0AikSAxMRGtra0IDg7u83uhfGxef1JRUQGpVCoMTE5OTionQYwx3Lp1CxUVFb2qT9MFcnNzkZOTg+DgYLXV0JuamoSQVU1NDSwtLQVj1NfvvLS0FCkpKXoTtuWRFk9PT7i7u6Ompkb4ztvb2xUMcW/er+TkZMybNw/r1q3D66+//pc1PoCeGSCAZpwc7e3tiI+PR0dHB4KDg1XSZtUtIO0Ora2tuHLlCgwNDYUmdZqCkw2io6NRV1cHJycnQZFAW4VxnKk0bNgwvajR4DUsxsbGQv3RQNUbAbL3RSQSISgoSKcFiYwx1NfXC4a4qampU0dQqVSK5ORkNDQ0ICQkZMA9Q3lPLCQkpFNNkrro6OhQKAQFVOdP1EFJSQlSU1Mxfvx4nbUb0AS1tbWIjY1VSRDhky9+37W1tRob4tTUVMybNw/PPfccNm7cOOC/4YGG3hqg7hQH5HHu3Lk+5Rx4rQGnpvr4+Gh8DPn6HgBCDoEPTPLhqt7OyIuKioQOq31hBmkLNTU1SEhIUKBZy+eNKioqAPRPvREg63RrZWU1IJ4hF9LkKg0WFhZCs7KwsDCdh0l7As/RlZeXa9UTk8+fVFRUKCha99Sau6ioCGlpaV2GAfsbfCwYN26cWuxEVYZYnuatbIjT09Mxb948rFq1Cu+///5f3vgAemiA2tvbUVJSgqSkJIwaNQpjxozp9ou6cOECAgICNO48ChAjidOF29raIBaL4efnp9Ex5I2PKnmN5uZmlJeXC+EqTdsqMMaQmZmJwsJCBAYG9uo+tQ11aNY95Y20OSDzyYqLi4teSMdwYygWi4X3gt93fyTzlcEYEwgrISEhOi3AlVe0rq6uhrm5ucAmlM+ZFRYWIj09HUFBQXrxTnPjM3bs2F6VDnBDzI1RY2MjbG1tUVJSAldXVzg6OmL+/Pl44IEH8PHHH//lCk67gl4ZIMYYbt68idzcXLVJAJcvX4aXl5dGsWN50VLOAMrKykJTUxPGy7ebVOM4migbtLW1obKyEuXl5UK4ysXFpUv3ndc7NTQ0IDg4eMBlOnpLs1bOG8n3N+ors4yHJfWlep+XCVhYWCAgIAAikUjBQ2htbYW9vX2fPWJ1wcOAjY2NCAkJ0fn55MFbc3ODJJVK4ejoCAMDA8ETUzcHpUv01fioAtfp++CDD/Djjz+io6MDPj4+2LRpE+65554BV+HQF+iVAZJKpYiLi8PIkSPVJgFERUUJLWXVgVgsRmJiovCD5KGInJwc1NbWCi1pe0JfZXXEYrFCuMrAwEAwRg4ODujo6EB8fDwMDAwQGBio1VqU3kBdNWt1oIpZxu9dk7wR98T6WrCoLaij66ZM4NClGgMnZLS1tSEkJGRA3yGeM8vMzER1dTUAwM7OTvCOtK3Zpi64/JA2jY88ioqKcM8998Db2xvjxo3DsWPHUFRUhC+//FJoBvdXhl4ZIIDiqpr01Llx4wbc3d3Vitk2NzcjNjYWpqamnQb1/Px8VFRUIDQ0tNtjaKONgjLkCyHLy8shFovBGIO1tTUCAwMHPH+gDTXr7o6tnDeSJ3B0lcvJz89HZmam3jCn6uvrERcXp5GuG1d15h6CKomc3kIsFiMhIUFoGaJrhWh1kJOTg7y8PMEYcmaZPL1dvvmcrsGNT3dac31BaWkp5syZgzvuuAP/+9//hJbfaWlpsLS01AuVkIHGbW+AYmNj4ejo2KOESHV1tTBAqOoKWlRUhKKiIkycOLHLY8gXlwLaVzYAZDIt1tbW6OjoQHNzs9DjR9u5E3XA25obGhoiMDBQ58yynvJGPCdWVFSkNzU1XNdt1KhR8PDw6NUxlNUYuG4ZH5Q1+d47OjoQFxcnfGf9nXNSBV4UrKrEQb75XGVlJcRisc6UKDh0bXzKy8sxb948hISEYPfu3XrxHegjbnsDlJCQAGtra4wePbrLbQoLC5GamgovL68uX7bS0lLk5ORgypQpKj/XRQ8fZRQUFCA9PR2+vr6CDElfSQx9Aa85srW1hZ+fX78nTpuamoR7r6+vh7W1NRhjaGtrQ2hoqF7U1OhC101ezVrTnFl7e7vg5Y8fP77f2YDK4NTvoqIitb4zxhgaGhqEe5dvuufk5AQrK6s+T/p0bXwqKyuxYMECeHt746efftIL71NfoXcGSNOuqMnJyTA1NcW4ceM6fSaVSpGWlobi4uIe5U+4OOMdd9zR6TNdt1HgpIiSkhIEBgbC3t5e5XbKJAbOMHJxcdG6bpcqmvVAoqWlBXFxcWhtbQVjrNd5I22iv3Td+PdeUVGBqqoqoTLf2dlZIVzFCRCcij7QTCvurRYXFyMsLKxXEyb5e6+urlYQje1NewXe3E5Xqt81NTVYuHAhRo4ciV9//XXAc7f6jtveAKWmpgJAp/qdjo4OJCQkoKWlBSEhIT2+/FVVVUhOTsbMmTMV1uva+IjFYoX8irrsmJ5IDH0ZfEpLS4Xkfn+oNfcE3tTOyMgI48ePh4GBQa/yRtoE13Xr7xoW+XAVV2NwdHSEjY0NCgoK4ODgAF9f3wGfMPBJFdcG1Ia3zpvuyasS8LobdcLTujY+dXV1uO++++Dq6op9+/YNeO72dsBtb4AyMjLQ1tYGf39/YZ18h1R18xacinnnnXcCkJENdCko2traivj4eBgZGfUpv6JMYpBIJHB0dISLiwucnJzUjj/ro5o1J4501dSuP+uN+Pn0RdeNM8uKi4tRVFQExhjs7OyE732gaPtcfqiyshKhoaE6oRyrovZbW1sLxkiZUciNT1/ydN2hoaEBixcvhrW1NQ4dOtSvdPfbGXpngCQSidAhUB1kZ2ejoaEBgYGBACj+ykNHXl5eahuNhoYGXL9+HbNnz+4XskF9fT3i4+Ph6OiocSvm7sBj6Dx3wpUYeiIxyNOsg4ODey3Tok1wZpmbm5va3W6V80baqjcC6BmlpqYKA+tA12UB9IxiY2MxbNgwDB06VCFcZWFhIQzI/RWm5M+ouroaoaGh/SY/xPs78fYK8h1ijY2NkZCQIDT/0zaampqwbNkyGBoa4siRI3rxXtwuuO0NUF5eHqqqqhASEoK8vDykp6fDx8dH49BRc3MzLl26hHvvvVfnZAPeII3PxnQ5MKhDYuD1Ii0tLXqhZg3ImpLxcElvnpGq3Am/d1tbW42+W33TdQNkXruqWb18iFZer43LIumClcULyevq6hAaGjpgXgCPCFRWVgpdky0sLDBixAitF/+2tLRg+fLlEIvFOHbsmFbaovyVcNsboMLCQhQXF8PS0lKYvXeVxO8ObW1tiIyMxF133QVAN51LeQOwrKws+Pn59bvsvHIBqLm5ORwcHFBVVQUTExOdC3iqC97h1cfHR2t9WHpbbwTIamrEYjGCg4P1IrHMDbQ6XWdV6bXxMKWTk5NWjKlUKsXNmzfR0NCA0NBQvch/NDQ0IDo6GkOGDIGpqamCgCj3ivtC3mltbcWDDz6I+vp6nDx5Ui9KAm436J0BUqcrqjx4nyALC4s+zUw7Ojpw9uxZQVVB2xRfzsgrLy/vs5KANiAWi1FUVISsrCxIpVIYGxtrjcTQF/Dkvi7VkfmAzD3D7vJGXGFbn2pqOPW7t106m5ubBWOkjQGZe4dNTU0ICQnRG+MTExMjSDRxyHdCraysFJrucSVvdb/ftrY2PPLIIygrK8Pp06d7NekdxG1ugBobG3Hjxg2IxWLceeedvR4ceL6ntLQUpaWlWqc4d3R0ICkpCW1tbQgKCtKL8A0vnhw+fDhGjRolJPL7QmLoCxhjyMjIQHFxcb8n93kyu7y8XCFvZGNjg1u3bg2YwrYqcIaitqjf8l1Qq6qqYGBgoCCc2tM9S6VSof/SQMv9cHRlfJQhlUoFz7CyslJQ8ub339XvtKOjA4899hjy8vJw9uxZvVDyvl1x2xog3iraxcUF1dXVmDVrlsbn6opswOPn5eXlgkQKN0bqdsHk4PUrZmZmGD9+vF7MoLujWcv3uSkvL+8XJQYevqmrq9O5WnNP4HmjkpIS1NTUwNDQEEOHDu1V3kjb4ArSuvIOeRdU7h21tbV1S3PmucP29naEhIToRfi2sbER0dHRGDFiRLfF6arQ3NwsGGPeUoOHKfl3LxaL8eSTTyI1NRXnzp2Di4uLju7kr4HbzgAxxpCbm4vMzEz4+fnB0tISMTExQu5GXairbCCVSlFdXS2EaxhjgjHqaYZYW1srGEkvLy+9KAzUlGatLJ6pbSUGnl/hTQf1IXzDmWXu7u6ws7MTBiVA94n8rsBDk/3VvqArmrO8d5CYmCjkxW5346MMZRLH+++/D0tLS9TV1aG6uhoXL15UWwB5EF1D7wyQqrbcHHymXFlZKbQTbmxsRFRUFO655x6NziGVSoWGYeqG13jNSXl5OcrLy9HR0SEkspVDVbzNMFfZHejCQPkcVG9p1qpIDH0JU7a1tSEuLg7GxsZ6k1/h7R2UmWWa5I20CcaYgojnQOUO29vbhcGYs+qMjIzg4+MDJyenAZ9cceMzfPhwjBkzRqvHZozhzJkzePXVV5GTkwPGGO644w4sXLgQDz74oF4osd+uuG0MEB+spFKpQl+TlpYWXLhwAXPmzFFrANSWsgHX6yorK+tUb9PS0oKCggK9KebUBc1aOUypqRLDQOvMqQKnx6vT3qGrvJE26o045KVsQkJC9ILiKxaLERsbC4lEAhsbG1RVVUEsFguJfF2Jh3aHxsZGxMTEYNiwYVo3PgBN3l5++WWcPXsWkZGRYIzh6NGjOHLkCP7xj39oHH0ZhAy3hQHiIRE7OzsEBAQohL04e2327Nk9zqB5vkcXyga8ADIvLw8dHR2wtraGu7s7XFxcBpR00B9q1poqMdTV1SEuLg5DhgxRu3WBrsF13QICAjSO62uz3ohDXk1AHSmp/oC8ynZQUJDQXqChoUHwjHknUHljrEtw4zN06NAeuyf3BlKpFBs2bMChQ4dw/vz5Pof2BqEIvTNAAP2gOcrKypCYmIjRo0dj9OjRnV4wqVSKU6dO4c477+y2yl/bPXyUwbXnxGIxfHx8UF9fj/LyctTU1MDKygouLi5C3qS/BlwuSWRnZ9dvXkZPJIaGhgYkJiZizJgxOtHj6g14XkwbLc+7qjfSJG8klUqRkpKC2traflUT6A4dHR2IjY0VwqVd5T5bW1sVWnKbmZkJxkjbJI6mpiZER0fr1Pi8+eab+PXXXxEZGQlPT0+tHn8QemyAGGPIzs4WEubdJfxOnjyJ6dOnq2RP9UcbhaamJsTHx8PS0lKlh8YH46qqKqENty4UrOUhT7PWxY9TXcgnsmtrawEAbm5uGD169IDP6nWt6yZfAFpeXq5W3kgqlSIpKQlNTU16U9DJWzxwJqe6vyH5ltzyxpgvfcn56dr4MMbw3nvvYdeuXYiMjOwkdjwI7UAvDVBLSwuSkpJQU1ODkJCQHhPmZ86cwaRJkzrFyHtLNtAEvG2BOuEkPjvmiWxDQ0MhVKPNLpD6pmbNmYs5OTkYOnQompubdd5OQp1rSk1NFWSc+sMYKjMKra2tBc/Q0tISUqlUgRGoDzU17e3tiImJgYWFBQICAnr9jqpSY1Cn5kYVuPEZMmSITlqFMMbwwQcf4IsvvsC5c+cQEBCg1eNzfP755/joo49QUlICPz8/fPLJJ5g+fbrKbVetWoXdu3d3Wu/r64ubN28CAHbt2oXVq1d32qalpUVvxVEHnnakBKlUiuvXr0MkEmHKlClqzQANDQ07yffouo0CIMsbqDvQGxoaCt4Pz5vwxLdUKhUG4962FJCnWQcGBupMSUDTa+Iip2FhYcJkQp7EEBsbq9V2Ej1B3suYMGFCv/04LS0tYWlpCQ8PD4FVVlFRgezsbJiamgqKFKGhoXphfNra2hATE6OV/kIikQh2dnaws7PDuHHjFGpu0tPT1VZj6A/j88knn+C///0vzp49qzPj88svv2Dt2rX4/PPPMW3aNHz11VeYN28eUlJSVDbJ27ZtG7Zs2SL8LRaLERgYiPvvv19hOxsbG6SlpSms01fjA+ipB1RQUKARtfPSpUsCHRTQLdkAkIVuCgoKMH78+D5XQstTfMvLy9HW1qZA71aHOKANmrW2oa6ApyoSA8+baFuJQR913VpaWhATE6NQFD1Q9UYcra2tiImJga2tLXx9fXU6Iejo6FCoueHyOPz++WSsqakJMTExcHd315nx+eyzz7B582acPHkSEydO1Orx5TFp0iSEhITgiy++ENb5+Phg8eLF2Lx5c4/7HzhwAEuXLkVOTo6QS921axfWrl0rhLpvB+ilAdK0LffVq1cxZswYuLi46JxsIJFIhKr94OBgrWvGcXo3N0bqtFPQRzVrTsqQSCQaDfS6VGKQb2ynL3VHbW1tiI2NFUJcIpFI47yRtsENor29fb83t1OlxuDg4ABbW1sUFBTA3d1dJ8xJxhh27tyJt99+G8ePH8fUqVO1enx5tLe3w8LCAr/99huWLFkirF+zZg3i4+Nx4cKFHo9x3333oa2tDadOnRLW7dq1C3/7298wdOhQSCQSBAUF4b333kNwcLBO7kMbGPhfoBbAQ3DyZANdGB8uTAkAEydO1MlgIBKJYG1tDWtra4wZM0Zop1BSUoJbt24JFFcXFxdYWFgo0KwnTJigFxXpra2tiIuLg6mpKYKDgzUKJ4pEItja2sLW1hZjx44V8ib8/nurxMDbVXOiiD7UHfGB3s7OTsHLkA9VKd+/ct5I2+94S0sLoqOj4eTkBG9v734nrxgYGMDBwQEODg7w9PREU1MTiouLkZ2dDcYYampqkJ2dDRcXF1hZWWmt3mr37t146623cOTIEZ0aH4B6lkkkkk5afq6urigtLe1x/5KSEhw/fhw//fSTwnpvb2/s2rULAQEBqK+vx7Zt2zBt2jRBNV0f8acxQNxr0lW+p7GxEfHx8bCxsYGfn1+/CVNaWFgIjbS4EkF5eTkyMzNhbm6O9vZ22NradkuN7U9w6reDg4NWGu3J503klRiysrIEra6eSAz8mnjzP32oO+LX1NNA31PeiHtGmmoUqkJzczNiYmLg7OysUTNHXUEkEsHAwAClpaUYPnw4PDw8hFBdXl4ejI2NhVBdb/OGjDH8+OOPeO2113Dw4EHMmDFDB3eiGsrPlzGm1jPftWsX7OzssHjxYoX1kydPxuTJk4W/p02bhpCQEHz66afYvn27Vq5Z29BLA6TJi88Yg4mJCfLy8tDe3q7VmRFHVVUVEhMTB5zSbGpqimHDhmHYsGGoqKhAYmIizMzMUFNTg6ioKIHgYGtrOyDXWFtbi/j4eKEiXdvXIH//6pIYeBHz0KFDdZI36A0aGhoErTlNwkkmJiYYOnSoEGLhg3FiYiKAvuWNeH7Fzc1Nb4qDuUF0dXUVOuIOGTIEQ4YMETQaKyoqkJqaio6ODjg6Ogp5Q3VCvowx/Pbbb3jllVewd+/eflM0cHJygqGhYSdvp7y8vEeFc8YYvvnmGzz66KM93qOBgQEmTJiAjIyMPl+zrqCXOSAeTusJPGnb3t4uCIZWVlZqtdamsLAQaWlpWm2O1lco06yV6d18MNY2vbs78B41Y8eOVcni0SW6IjGYm5sjPz8fo0eP1kkr5t6Aq0CMGDECo0aN0loISZ7i3NLSolHeiKsJ6IpZ1hvwUKCLi0uP7dh53pTff0NDgxCqdnJy6jJUuX//fjz99NP45ZdfsHDhQl3eTidMmjQJoaGh+Pzzz4V1vr6+CA8P75aEcP78edx5551ISkqCv79/t+dgjGHixIkICAjAN998o7Vr1yZuSwPUnbKBRCJBZWWlMBjzRmu8lYImwqO8P8348eP7RYFYnWvi9TRdSfKrGoz5QMRnXtpGUVERbt26pbUeNX0BJzHk5uaivLwcIpFI5+0k1AUvDuZtxnWFnuqN5H8DvHfO8OHDVSqNDAS48eltKLC1tVWgeFdXVwuhSnt7e9ja2sLU1BRHjhzB6tWr8cMPPygQAfoLv/zyCx599FF8+eWXmDJlCnbs2IGdO3fi5s2bGDlyJF5//XUUFRXhu+++U9jv0UcfRUZGBq5du9bpmO+88w4mT56McePGob6+Htu3b8f333+PK1eu6JTR1xfcdiG4rnr4cBgaGsLV1RWurq6QSqWCZ5CQkACRSKSWZyCRSBTqRAa6Yh9QpFnL19Mow8DAAI6OjnB0dISXl5cgCZSZmYnk5GRBo83Z2bnPhAV5pebg4GC9MNIikQhNTU2orKxEYGAgLC0tO5EY5Afj/kJlZSUSExPh6emp8+JgdfNGhoaGgjemLxpnfTU+ANW98FCtfKjyxx9/xObNm+Hp6YmbN2/iiy++GBDjAwArVqxAVVUV3n33XZSUlMDf3x/Hjh0TJiYlJSXIz89X2Keurg4RERHYtm2bymPW1tbi6aefRmlpKWxtbREcHIyLFy/qrfEB9NQDkkgknQpLAcXiUp6gVBec3llWVoby8vIu+/q0trYqiHfqQ52INmjWvL8Lp3c3NjbC3t5eGIw1LVbjYpkVFRUIDg7WC6VmAIKHqErXTZ7EUFVVpTaJoa8oKytDcnIyfH194e7urpNzqAOJRCKEqsvLyyEWi2FtbY1Ro0YNWL2RPLRhfLqDRCLBtm3b8M4778Dd3R0lJSWYMWMGFi1ahJdeekkvvL+/Gm4bA6RNZQMeM+fGiPf1sbGxQV5eHhwdHXVefKcueBsKXruiLZp1S0uLMBDxRnPqegYSiQTJycloamrSm7oj3rqgqKhILfkm5XYSupJF6ovKtq5QW1srEDMMDAwEaRweqnRycur36nlOSXd0dNQZ/fvixYu4//77sW3bNqxevRp5eXk4fPgw0tPT8emnn2r9fIPoGXppgJS7oupSVofLyefm5qKsrAwikQhOTk5wdXVVW4VAV2hsbERcXJxQEKgrg9je3i7kzKqqqgRZFBcXF1hbWys8746ODsTHx4MxhqCgIL3wEPuq66YrJYaCggJkZGQgMDCwz2oZ2kJNTQ3i4uIwbtw4DB8+XFivKm8kX2+lS++gtbUV0dHROjU+UVFRWLJkCT788EM888wzg96OnkCvDRAnG+hSVgcA8vPzkZmZCR8fH1hbW6O8vBxlZWUKKgQuLi79OtgOlJq1WCwWSByVlZUKJA4zMzPExcUJVfv6UHckr+sm36iwt9CWEgMPBfLOvfqA6upqxMfH99hwTz5vJN/fSFv1RvLgxofXjeniPb9x4wbCw8Px3nvv4cUXXxw0PnoEvTVA7e3t3ZINtHWe9PR0lJaWIigoqNNAwVUIeNdLOzs7hcFYVygpKUFKSsqAq1mryhlYWFhg3LhxetGGuT903ZQ9g55ClfItHtQJBfYXqqqqkJCQAG9vb43KCeTfgcrKSjDGtKZT1x/GJy4uDgsXLsQbb7yBV155ZdD46Bn00gB1dHQoNKXTxUAnFouRmJiI1tZWtfIYra2twkBcW1srDERcEkcbUIdmPRDgYRsXFxcYGRmhoqJCaMPM1bv7O4E9ELpuPZEYAAgTmtDQUK3rBPYWvEbLx8enTyQIVS0Veps36g/jk5SUhPnz52PdunV4/fXXdWZ8NGmrwOt4lJGamgpvb2/h74iICLz55pvIysrCmDFjsGnTpgFj7OkSemmAHnnkEWRkZGDRokVYvHgxPDw8tPrytLS0ID4+HiYmJhg/frzGeR6eMykvL0d1dbVCx9PeDjr6qGYNQGgXIU8fVg5T8cJH7hnoOlSpD7puqkgMRkZGaG9vR1hYmN4Yn/LycqFoUds1Wr3NG3Hjo0ux05SUFMybNw8vvPAC3n77bZ0ZH17PI99W4X//+1+XbRW4AUpLS1P4jXNaPED5qunTp+O9997DkiVLsH//frz11lu4fPkyJk2apJP7GCjopQEqLy9HREQEIiIicPHiRfj7+yM8PByLFy/uc6V2XV0d4uPj4ezsDG9v7z4PXsodT83NzQVjpJzA7wpisRhJSUl6pWYNyJLo/v7+3TK45OndDQ0NOg1V6qOum1gsRlxcHBobG2FgYACpVKqzdhKagNO/+4OBp27eiLd54AKsuvj+0tLSMG/ePKxevRrvv/++Tt8RTdsqcANUU1PTZW5wxYoVqK+vx/Hjx4V1c+fOhb29Pfbs2aP1exhI6KUB4mCMoaqqCgcPHkRERATOnj0LLy8vwTPSdAAqKyvDzZs3MWbMGIwYMULrLyafFZeVlaGyshImJiY96rPpimbdF/B26Pn5+QgKCoK9vb3a+yqHKnkVvqbq1aqgj7puvEartbUVoaGhMDY21lk7CU1QUlIi0L+dnZ375ZwcPG/EDRJvtmhra4u8vDydej5ZWVmYO3cuHnzwQXz00Uc69Y5701aBGyAPDw+0trbC19cXb7zxhkJYbsSIEXj55Zfx8ssvC+u2bt2KTz75BHl5eTq7n4GAXiohcHBK9JNPPoknnngCtbW1OHToEPbt24f/+7//w8iRIxEeHo4lS5Z027FRvlNoT7P5vsDIyEhQYeA/wrKyMsTFxSl0Q+Uzwv6iWWsCqVSKW7duobKyEhMmTNA4lGRmZoYRI0ZgxIgRwqy4vLwc2dnZgnfYU9dLVaiurkZCQgJGjRqlN7punAQhkUgQFhYmTB5UtZMoLi7uNyUGfq6Bon/zmipnZ2chb1RaWoq0tDQwxmBhYYHCwsJeFUB3h9zcXCxcuBBLlizRufEBetdWwd3dHTt27EBoaCja2trw/fff4+6778b58+cFJe7S0tJet2q43aDXBkgeIpEI9vb2ePzxx/H444+jvr4eR44cwb59+zB79my4uroKYbqQkBDh5Wtra8OtW7dQW1vbrYSNtiH/I+R1JmVlZUhKSgJjDDY2NqipqcGIESP0bjbf0tKCiRMn9nlwkFdvlvcOY2JiYGxsLOQLeqL28jxUT/Th/kRHRwfi4uJgYGCAkJCQLsNsXbWTyMzM1IkSQ2FhIdLT0xEUFKQ30kjm5uaorq6Gm5sbRo0ahYqKCsEg8byRs7Nzn1TsCwsLsWDBAsydOxfbt2/v18mcJm0VvLy84OXlJfw9ZcoUFBQU4OOPP1ZoBdHbVg23G24bA6QMGxsbPPzww3j44YfR1NSE48ePIyIiAgsXLoS9vT0WLVqEmTNn4v3330dQUBA+/vjjAeuNLq/Pxmm6OTk5MDIyQmFhIVpbW+Hq6qrQfri/wZvtiUQinTS2k/cOuZR+eXm50EpAlSwSQEKnaWlpOvVcNUV7eztiY2NhamqK8ePHq/2ddddOQhtKDDxnFxwcrFHYVJdoa2tDTEyM0EdLJBIp6NTxmrOcnJxe1xuVlJRgwYIFuPPOO/H555/3m/HpS1sFeUyePBk//PCD8Lebm1ufj3m7QK9zQL1BS0sLTp06hV27duHQoUMwMjLCww8/jBUrVmDq1KkDqnelTLN2dHQUxELLysrQ1tYmUJudnZ377VpbWloQFxcHS0tL+Pv796sRZIyhtrZWyBtxWSQXFxc0NTUhPz9fpa7bQIEz8KysrLoN+2oC7iFzNYreKDHk5+cjKytLrwpfufGxtraGv79/tzP4rvJGPdUblZWVYd68eQgLC8Pu3bv7fQLX27YK8li+fDmqq6tx7tw5AERCaGhowLFjx4Rt5s2bBzs7u0ESwu2Aq1evIjw8HA899BDuueceHDhwAIcOHYKBgYEQI54+fXq/Jvx5bqWiogIhISGdxDt5TxM+EDc1NSkoV+uK2tzQ0IC4uDiBFTiQbj6XRSovL0dhYSE6OjpgZ2cHd3f3fleiUAWuV6bLJHpvlBj4pCYkJAS2trZav6beoL29HdHR0WoZH2V0VW/EDRKPZFRWVmL+/Pnw9fXFTz/9NCCTS03bKnzyySfw8PCAn58f2tvb8cMPP2DLli2IiIjA0qVLAdD4NWPGDGzatAnh4eE4ePAg3njjjUEa9u2CBQsWYOHChXjuueeEdR0dHbhw4QL27t2LAwcOoKOjAwsXLsTixYsxa9YsnbKTekOzVqY2c+VqFxcXrV0rT+yPHDlSa83R+gp5XTcfHx/BKNfX18PW1lZ4Bv1NVW9sbERsbCxcXFz6tV01JzHwZ6BMYuBsRX1SXZA3Pn5+fn32EuXrjQoLC7Fp0yZMmzYNFy5cgK+vL3799dcBnZx8/vnn+PDDD4W2Clu3bhXyOatWrUJubi7Onz8PAPjwww+xY8cOFBUVwdzcHH5+fnj99dcxf/58hWPu3bsXb7zxBrKzs4VCVG6g/kz4UxogrhvXFSQSCS5duoSIiAjs378fjY2NmD9/PhYvXoy7775bq4Mbp1kbGxv3qugV6KxcrY2BmNeIeHt7601ivztdt9bWVmEgrqmpUSj+1bVYJm/apqtW4+pCWYnByMgIEokEvr6+cHNz04sJRHt7O2JiYoRwrrbzMTU1Nfj666/x8ccfo7m5GcOHD0d4eDjCw8Mxffr0AW8pMQjN8Kc0QJpAIpHg2rVrgjGqrKzE3LlzER4ejjlz5vSJKqsLmnVbW5tgjPhA7OrqqlGdDRdfHYgaka6gia6bcvGvNluwK6O2thZxcXHw8PDAqFGjtHbcvoAxhvT0dBQXF8POzg61tbU6ayehCXRtfACaDISHh8PGxga//PILrly5goMHD+LYsWNISEjQG/mqQaiHv7wBkodUKkVMTAz27t2L/fv3o6ioCPfccw/Cw8Mxb948jUIcPLylSzVrPhCXlZUJ2mTcGKmitMr3zFElvjpQ6Iuum3wLdi6Jw0NUfR2IuXq0cuuCgQQ3PmVlZQgNDYWlpaVWSAx9RX8Yn6amJixduhRGRkY4evSoggbjn5Wm/GfHoAHqAlKpFImJiYIxysrKwt13343w8HAsWLAAdnZ2Xb7wXM26P8NbvI0CV2EwNTUVjJGNjQ0YY0hJSUFNTU2veuboCtrUdZOvt6qoqBCUm7lgqiYMKS7gqal6tC7BGENaWhoqKioQGhqqUgRXFYnB0dFRSODrItfJjQ9v06EL49Pc3Iz7778fYrEYx48f1xutvUH0DYMGSA3wxPjevXuxb98+pKSkYNasWVi8eDEWLlwIR0dHiEQiSKVSxMXFob6+HgEBAQMWDpBIJEKNSUVFBQwNDYV2FqGhoXqjNadLXTfOpOLhSnmKe0+NBktLS3Hz5k2dCHj2FvLkjLCwMLW/w55IDH1Ffxif1tZWrFixAo2NjThx4oTeMP0G0XcMGiANwcNY3BjFx8fjjjvuwMKFC3H27Fnk5OQgMjJSbxhJXPxRLBYLYQpnZ2e4uroOWK4AIFHYuLi4ftF1U0Vx74razAtf9akdhrz3GhYW1uuCalXtJHorjQRQCDgmJgbm5uY6Mz5tbW1YuXIlysvLcfr0aZ0V2GrSUmHfvn344osvEB8fj7a2Nvj5+WHjxo2YM2eOsM2uXbuwevXqTvu2tLQMWEG8PmLQAPUBvLD0p59+wscff4za2lqEhobiwQcfxKJFizB06NABjUs3NzcjLi5OqMUAoFD0KZFIhMR1f6owDLSum3KjQVtbWzg7O0MsFgsCrPpS+CqVSpGSkoK6ujqEhoZqbfBS1U5CExJDfxifjo4OPPbYY8jLy8PZs2d1pmunaUuFtWvXYsiQIbjzzjthZ2eHb7/9Fh9//DGuX7+O4OBgAGSA1qxZg7S0NIV93dzcdHIPtysGDVAfUVJSgoULF8LOzg7btm3D2bNnsW/fPly9ehWhoaECRXTkyJH9aozq6+sRFxcHV1dXlXUryiGq9vZ2hRCVrhLXvD+Nj4+PXuRWOKswLy8PLS0tsLCwgJubW5dEjv6EVCpFcnIyGhsbERoaqrNaNU1JDNz4mJmZYfz48TprGPnEE0/g1q1biIyM1ClbU9OWCqrg5+eHFStW4K233gJABmjt2rWora3VxSX/aTBImu8jTp06BX9/f+zcuRMmJibw9/fHSy+9hNLSUuzfvx8RERF46623MH78eMEY6TrkVFVVhcTERIwaNapLwycSiWBnZwc7OzuMGzcOjY2NKCsrQ3Z2Nm7evKmgwqAtxQge3uqP/jTqwsTEBK2trYKiNW8nkZubC1NT0x7baegKvCaqubkZYWFhOi20lNcq9Pb2FkgM2dnZSE5OViAxGBgY6Nz4SCQSPPvss7h586bOjQ/PYW3YsEFh/b333ourV6+qdQypVIqGhoZOXnNjYyNGjhwJiUSCoKAgvPfee4KHNAjCoAekBXRHAWWMobKyUuhpdO7cOXh5eQnGSNvJd87A64uHIZ8vaWxsFPIlfZHD4XIx+qTrxhgTWk8oMwOViRwGBgbCM9B17kwqlSIhIQFtbW0ICQkZ0Cp/eRJDXV0dDA0NYWpqisDAQJ0w0SQSCf7+97/jypUrOH/+vM5ZpMXFxRg6dCiuXLmCqVOnCuvff/997N69u1MITRU++ugjbNmyBampqcLE6tq1a0KtXX19PbZt2ybUKo0bN05n93O7YdAA9SO48ObBgwexb98+nD59Gh4eHkJPo77KluTl5SErK0urCfSWlhaUlZUJ+RJNu53K1x7pk1wMz63wvF13rDJVISruEXBFZG1BIpEgISEBHR0dCAkJ0YsGhQCF3aKjowGQqnd1dXWfSQzKkEqlWLt2Lc6dO4fIyEiMHDlSG5feLbgBunr1KqZMmSKs37RpE77//nvcunWr2/337NmDv/3tbzh48CBmz57d5XZSqRQhISGYMWMGtm/frrXrv90xaIAGEHV1dUJPoxMnTsDd3V3oaRQcHKy2MWKMISMjA8XFxQgODtYZTZXL4ZSVlaG2tlag9Lq4uKisSZFKpUhNTUV1dbVe1R7JS/5omlvhdTbcQ2xtbdVauFIikSA+Ph4SiQTBwcF6ZXxiY2NhYmKCwMBAGBgY9JnEoAypVIpXX30VR44cwfnz5zF69Ggd3Y0ietPVlOOXX37B6tWr8dtvv2HBggU9nuupp55CYWGhQqvtvzoGDZCeoLGxUehpdOzYMTg4OAitxydMmNDlLFsqleLmzZuoq6tDcHBwvw3yvNtpWVkZqqurYWlpCRcXF7i6ugrV+cnJySp13QYS3MNob2/vc3iLMaYgGtvY2CiIxmra7VMsFiM+Ph6MMQQHB+uNphlvvGdsbCwYH2V0RWLg7Mqe7kUqleKNN97Ab7/9hvPnz/d7iKo3LRX27NmDJ554Anv27MHixYt7PAdjDBMnTkRAQAC++eYbbV36bY9BA6SHaG5uxqlTpxAREYEjR47A0tIS9913HxYvXowpU6YIP+ja2lohRBAcHKxTRe/u0NHRoSCHY2ZmBqlUCiMjI4SEhAzYdSlDLBYjLi4OABAUFKR1D0NZNFbdok9+XQYGBggKChqwpoTKEIvFiI2NFSSS1LkuTZUYGGN49913sXv3bkRGRsLHx0dXt9MlNG2psGfPHjz22GPYtm2bgkK1ubm5EH145513MHnyZIwbNw719fXYvn07vv/+e1y5cgUTJ07s93vUVwwaID1Ha2urQO0+ePAgDA0Ncd9992HatGnYvHkzZs+ejS1btujNjJn3zJFIJJBIJDA2NhY8o/5mksmDh5H4TF7Xgzwv+iwvLxc8RF4ALE/v5h6GJoN8f6A3xkcVVCkxmJmZQSQSwd/fH1u2bMGXX36Jc+fOISAgQMt3oT40aakwa9YslaG5xx9/HLt27QIAvPzyy9i3bx9KS0tha2uL4OBgbNy4USHPNIhBA3RboaOjA+fPn8c333yD3377DQYGBnjggQewbNkynfc0UgdcdYEXvjLGhNbbFRUVEIlE/cYkk0dbWxtiY2Nhbm6uM+pwd+AeYkVFBSorKwWj7ODggMzMTIHS/GczPsrgRvnQoUN4/fXXYWVlhdbWVvzvf//Dww8/PCgm+hfEoAG6zRAdHY358+fjkUcewcKFC7Fv3z4cOHAAjY2NWLBgAcLDw7Xe00gd9KTrJp8nKC8vB2NMQYVBV0ahpaUFsbGxsLGx0UpztL6Ct54uLS1FaWkpRCIR3N3d4erqCgcHhwG/vv4IBzLG8NFHH+HDDz/EjBkzcO3aNVhZWWHJkiXYtm3bgD+DQfQfBg3QbYZly5Zh6tSpWLdunbBOIpEgKipK6GlUXV0t9DS69957dU5M4Lpu6jZs4yoMnN4tFosVVBi0Neg1NzcjJiZGJ2KnfQH3yCwsLDB06FAhf6Zp8l7b6C/js2PHDrzzzjs4fvw4pkyZgvb2dly4cAGxsbF47bXXtH7OQegvBg3QbQaJRNLtwCCVShEdHS20kSguLsa9994r9DSytrbW6vXwnjljxozpVd0GYwwNDQ2CMWptbVVbtbo7NDY2IiYmBu7u7hg3bpxeGR8eppT3yFTRux0cHODq6gonJyedF6P2l/HZtWsXXn/9dRw5ckTIsQzir4tBA/QnBq+o58YoJydHoadRX0kBZWVluHnzptZ65nBaMzdGTU1NCjU26g7C3CMbPnw4Ro8erTfGh+fI7Ozs4Ovr2+11NTY2Csn7hoYGjQuANUF/GZ8ffvgB69evx6FDh3DnnXdq/RyDuP0wGGz9E8PAwADBwcHYtGkTbt68iejoaEyYMAH//e9/4eHhgaVLl2L37t2orKyEpvOQoqIioWeOtkRFRSIRrKysMGbMGEyZMgVTp06Fvb09CgsLcfHiRcTExKCgoACtra1dHqOmpgaxsbEYNWqUzjrR9gYtLS2Ijo4W2rP3dF1WVlYYNWoUJk2ahGnTpsHFxQXl5eW4fPkyrl+/jpycHDQ1NfX5unjxq0gk0qnx+fXXX7Fu3Trs3btXp8bn888/x6hRo2BmZobQ0FBcunSp2+0vXLggqIyPHj0aX375ZadtIiIi4OvrC1NTU/j6+mL//v26uvy/HPTSANXU1ODRRx+Fra0tbG1t8eijj/aoKssbrikvH330kbDNrFmzOn3+4IMP6vhu9AMikQh+fn54++23ER8fj+TkZMycORNff/01xowZg/vuuw87d+5EWVlZj8YoNzcX6enpCAoK0qmoqIWFBTw8PDBp0iTccccdcHZ2RmlpKS5fvozff/9dULDmqKysRFxcHMaNG9cvMi7qorm5GdHR0XBycupVLsrc3BwjRoxAWFgYZsyYgWHDhqG2thZRUVG4evUqMjMzUV9fr/EkQiKRCHVRwcHBOmPh7d+/Hy+++CJ+/vlnhZ452sYvv/yCtWvX4l//+hfi4uIwffp0zJs3D/n5+Sq3z8nJwfz58zF9+nTExcXhn//8J1566SVEREQI20RFRWHFihV49NFHkZCQgEcffRQPPPAArl+/rrP7+CtBL0Nw8+bNQ2FhIXbs2AEAePrpp+Hh4YHDhw93uU9paanC38ePH8eTTz6JzMxMQdZj1qxZ8PT0xLvvvitsJ1889lcEYww5OTmIiIjAvn37cOPGDUydOhWLFi1CeHg4hgwZIgyYUqkU6enpKCsrQ3Bw8IDpuinX2FhZWcHS0hJlZWXw8/ODu7v7gFyXKjQ1NSEmJgaurq7w9PTUqkfG27DzAmBjY2MFOZzuztVfxufIkSNYvXo1fvjhBwWpG11A07YKr732Gg4dOoTU1FRh3bPPPouEhARERUUBAFasWIH6+noF+Zy5c+fC3t4ee/bs0eHd/DWgdwYoNTUVvr6+uHbtGiZNmgSAlGWnTJmCW7duwcvLS63jLF68GA0NDTh79qywbtasWQgKCsInn3yii0u/7cEYQ0FBAfbt24d9+/YhKioKYWFhWLRoEebPn4+33noL1tbW2Lp1q97ounV0dCAjIwNFRUUQiUSCQKZywedAgBMhhgwZovMWHFKpFFVVVYJhBiAYIwcHBwUDw8NuXCBTV8bnxIkTePTRR/Htt9/igQce0Mk5OHqj6TZjxgwEBwdj27Ztwrr9+/fjgQceQHNzM4yNjTFixAi8/PLLePnll4Vttm7dik8++QR5eXk6vae/AvQuBBcVFQVbW1vB+ADA5MmTYWtrq3Z/jrKyMhw9ehRPPvlkp89+/PFHODk5wc/PD+vXr0dDQ4PWrv12h0gkwogRI7B27VpcuHABeXl5eOSRR3Dy5EkEBwfjxIkTcHZ2RklJicbhHl2B19OEhIRg1qxZGD16NJqbm3Hjxg1cuXIF6enpqK2t7ffr5canP1qOA5Tvc3Z2hq+vL2bOnInAwEAYGRnh1q1buHDhAhITE1FaWoq2tjbB+OjS8zl79iwee+wxfPXVV7j//vt1cg55VFZWQiKRwNXVVWG9q6trp+gIR2lpqcrtuWfZ3TZdHXMQmkE/9FvkUFpaqjKv4OLiovaXvnv3blhbWyvoNAHAypUrMWrUKLi5uSE5ORmvv/46EhIScPr0aa1c+58JIpEIQ4YMwWOPPYZ9+/YhJCQEDz30EE6fPo2wsDB4e3tj8eLFCA8Ph7e394B4GrzHUEhICOzs7ABQy2M3NzeFfj5xcXEwNDRUUGHQ5fU2NDQgJiYGI0aM6DdVZ3mIRCLY29vD3t4enp6eaGhoQHl5ObKzs9HU1AQjIyOMGTMGUqlUJ+e/ePEiHn74YXz66adYuXJlv74bqjr/dnd+Vdsrr9f0mINQH/1mgDZu3Ih33nmn221u3LgBoPMXDmj2pX/zzTdYuXJlJ7rqU089Jfzf398f48aNQ1hYGGJjYxESEqLWsf9qWL9+PYyMjHD+/HlYWVnhlVdeQU1NDQ4dOoSIiAh8+OGHGD16tNBGoj/UBhhjyM7ORkFBAUJDQ1XmouQNDldhKCsrQ1JSEhhjwmfaVh+oq6tDbGwsPDw8MGrUKK0dt7cQiUSwsbGBpaUl6urqBE+ppKQE6enpsLW1haurK5ydnbWinnH16lU88MAD+Oijj7Bq1ap+G6h5AbPyJLW8vLyTB8Ph5uamcnsjIyM4Ojp2u01XxxyEZug3A/Tiiy/2yDjz8PBAYmIiysrKOn1WUVGh1pd+6dIlpKWl4ZdffulxW97wKyMjY9AAdYEtW7bA0tJSqMERiURwcHDAqlWrsGrVKqGnUUREBO666y4MGTIEixYtwpIlSxAUFKR1Y8QYQ3p6OkpLSxEWFqZWV075ltO8KWBZWRlSUlKE5nJcfaAvIana2lrExcVh9OjResXC4y0oeNtx7gHx/k7l5eVIT0+HlZWVYJgtLS01Nh6///47li9fjk2bNuGZZ57pVy/BxMQEoaGhOH36tEIO6PTp0wgPD1e5z5QpUzoRm06dOoWwsDChAHrKlCk4ffq0Qg7o1KlTCt1TB9F76C0J4fr164Js+fXr1zF58mS1SAirVq1CcnKy0L2xOyQnJyMgIAAXLlwYrMrWAhobG3Hs2DGhp5GTkxPuu+8+LFmyBBMmTOizMWKMITU1FVVVVQgNDVXZBE/T43H1gbKyMrS3tyuoMGgihVNTU4P4+HiMHTsWw4cP79N1aRPc+IjFYoSEhHR5T+3t7QKjrqqqCmZmZoIxUqfbaWxsLO677z688cYbeOWVVwYkRKVpW4WcnBz4+/vjmWeewVNPPYWoqCg8++yz2LNnD5YtWwaAPLoZM2Zg06ZNCA8Px8GDB/HGG2/g8uXLCnnqQfQOemeAAKJhFxcX46uvvgJANOyRI0cqzFa8vb2xefNmhdlOfX093N3d8X//93949tlnFY6ZlZWFH3/8EfPnz4eTkxNSUlKwbt06mJub48aNG3qjRPxnQXNzM06ePImIiAgcPXoUVlZWCj2NNH3evPFefX29UDioTTDG0NjYKBijlpYWQQqnp06nXI7I09MTw4YN0+p19QXqGh9V+8nTu+XDmXZ2dp0mEomJiViwYAHWr1+PDRs2DGh+RJO2CgAVor788su4efMmhgwZgtdee63T2LF371688cYbyM7OxpgxY7Bp06ZO+eVB9A56aYCqq6vx0ksv4dChQwCARYsW4b///a+QaAYoFPTtt99i1apVwrodO3Zg7dq1KCkp6VTbU1BQgEceeQTJyclobGzE8OHDsWDBAqxZswZvv/22wrk+/fRThXMpY9WqVdi9e7fCukmTJuHatWvC321tbVi/fj327NmDlpYW3H333fj888/1aoDqL7S2tuLMmTNCTyNjY2PBM5o2bVqPem8SiQRJSUloaWlBaGioznXRAAidTsvKyoROp9wYybe9qKqqQkJCAry8vDB06FCdX5e64DJMHR0dfWrvLZVKFVpqcBXzoqIiTJ06Ffn5+Zg3bx5efPFFvPXWW4PJ+UFoBL00QP2J3hS9rlq1CmVlZfj222+FdSYmJnBwcBD+fu6553D48GHs2rULjo6OWLduHaqrqxETE/OX9rY6OjoQGRmJiIgIHDhwABKJBAsXLsTixYsxa9asTsaF16xIJJI+DaR9gXKnU5645zRnHx8fvSp+5caHtx3X1jPjKuYlJSVYvny5QMefO3cudu/e3e2kbRCDUIW/tAHqbdHrqlWrUFtbiwMHDqj8vK6uDs7Ozvj++++xYsUKAEBxcTGGDx+OY8eO6VSO5HaCWCzG5cuX8dtvv+HAgQNobm7GggULsGjRIsyePRsNDQ1Yv349nnrqKUyePFkvur62tbWhvLwchYWFaGxshLm5OYYOHSok7gcaujI+ykhPT8fs2bMxduxYtLS0IDU1FXfddRfefvvtwa6fg1AbeleI2p/oS9Hr+fPn4eLiAk9PTzz11FNC9TkAxMTEoKOjA/fee6+wbsiQIfD391e7mPavACMjI8yaNQufffYZ8vPzcejQITg5OeEf//gHRo4ciYCAACQmJsLT01MvjA8AmJqawsTEBM3NzfDz88OoUaMEXbaoqChkZWWhoaFhQAp1+8v45ObmYtGiRXjooYdw9epVJCQkIDU1FbNnz9Z6bm4Qf27ox696gNDbotd58+bh/vvvx8iRI5GTk4M333wTd911F2JiYmBqaorS0lKYmJjA3t5eYb/BCuquYWhoiOnTp2P69OlYv349ZsyYASMjI3R0dMDf3x/33HMPFi9ejLlz52q9p5EmKC0txc2bNzF+/Hg4OzsDAIYOHQqxWCxQmnNzczVmkfUVUqkUiYmJaGtrQ2hoqM6MT2FhIebPn4/58+crdC8dM2YM1q9fr5NzDuLPiz+lB7Rx48Yu1bH5wmnavSl6XbFiBRYsWAB/f3/cd999OH78ONLT03H06NFur2uwgrpnlJaWYubMmZg1axZSU1ORmZmJixcvwsfHB1u2bIGHhwdWrFiBn376qd8ldkpKSpCSkoLAwEDB+HAYGRnB3d0dgYGBmDVrFsaNG4fW1lbExsbi8uXLSEtLQ01NjU6ulxuf1tZWnRqfkpISzJ8/H3fddRc+++yzwdbZg+gz/pRv0IsvvojU1NRuF39/f7i5ufWp6JXD3d0dI0eOREZGBgCqnm5vb0dNTY3CdoMV1D3DyckJb7zxBv73v//B0NAQBgYGCAkJwfvvv4+UlBTcuHEDoaGh2L59O0aNGoVly5bhu+++Q1VVlU6NUVFREVJTUxEYGAgnJ6dut+W05YCAAMycORM+Pj4Qi8VISEjAxYsXhVombUjh9JfxKSsrw4IFCzB58mTs3LmzX4k0mrZn6ejowGuvvYaAgABYWloKklLFxcUK22mrPct3330HR0dHtLW1KaxftmwZHnvsMY2P91fCIAmhD0WvHFVVVRg6dCh27NiBxx57TCAh/PDDD4IKcElJCYYNGzZIQtASuCJCREQEIiIikJiYiBkzZiA8PBz33XcfXFxctOZtFhYWCv2P5JmOmkIqlaK2tlagd3NKsyrFanWPJ09P15XxqaiowIIFC+Dn54cff/yx3/NxmjJV6+rqsHz5cjz11FMIDAxETU0N1q5dC7FYrFCgrq32LC0tLXB3d8fOnTsF4dXKykoMHToUJ06cGOz+2g3+0gYI0LzotbGxERs3bsSyZcvg7u6O3Nxc/POf/0R+fj5SU1OF/MRzzz2HI0eOYNeuXXBwcMD69etRVVX1l6dh6wJcG473NIqJicGUKVMQHh6ORYsWKfQ00hT5+fnIyspCcHCwVmnGnNLMjVFHRwecnJzg6uoq6Jp1B258mpubdVobVV1djfnz52PMmDH49ddf+50Gr632LDdu3MDEiRORl5eHESNGANBue5bnn38eubm5OHbsGABg27Zt2L59OzIzMwfD7t3gTxmC0wQ//vgjAgICcO+99+Lee+/F+PHj8f333ytsk5aWhrq6OgAUXklKSkJ4eDg8PT3x+OOPw9PTE1FRUQrJ8a1bt2Lx4sV44IEHMG3aNFhYWODw4cODxkcHEIlEGDNmDF599VVERUUhMzMTS5YswYEDB+Dj44PZs2dj+/btyMvL0yhMl5eXh6ysLAW1bW1es52dHTw9PXHHHXcgLCwMFhYWyMrKwvnz5xEfH4+SkhJ0dHR02re/jE9tbS3Cw8MxYsQI/PzzzwNSg6WN9iwAeUX8mctDW+1ZnnrqKZw6dQpFRUUAIBTJDxqf7vGX94D6GzU1NZ1UHrpTXujo6MAbb7yBY8eOITs7G7a2tpg9eza2bNmCIUOGCNvNmjWrU9OtFStW4Oeff9bZveg7GGMoLi7G/v37sW/fPly6dAmBgYFCG4nRo0d3OUDk5OQgLy8PISEh/d75lUsClZeXo7GxEQ4ODgKjzsjICMnJyWhqatKp8amvr0d4eDjs7Oxw8ODBAaNXv//++9i1axfS09MV1nt6emL16tV4/fXXezxGa2sr7rjjDnh7e+OHH34Q1u/cubNTe5axY8f2uj1LaGgoli9fjjlz5mDChAnIzc3VK11AfcSgAepn6Hs8+88KxhjKy8tx4MAB7Nu3D5GRkUK75vDwcHh5eUEkEoExhsjISBgYGCA0NHRAKd8AaepxY1RfXw8jIyOIRCKEhITo7NoaGxuxdOlSmJiY4MiRI30WfVUFdduznDp1Crt370ZaWprCZ+PGjcOTTz6JDRs2dHuMjo4O3H///cjPz8f58+e7nUzExMQgLCwMMTExvVLH/+KLL7B161bce++9yMjIwMmTJzU+xl8NgwaoH3G7xLP/7GCMoaamBgcPHkRERATOnDmDMWPGYNGiRcjIyMClS5cQHR0t9ITRB/Ai0/r6epibm6O+vh42NjaCZ6QtI9Hc3Izly5dDKpXi2LFjarW76A0qKyuFrqNdwcPDAz/99BNeeeWVTqw3Ozs7bN26FatXr+5y/46ODjzwwAPIzs7GuXPnevw+GWMwNTVVUDDRBFwMWSwW47vvvuvVMf5q+EsXovY3eopnq2uAuotn//DDD3B1dcW8efPw9ttvD/gMXh/BexqtXr0aq1evRl1dHQ4dOoR3330XmZmZGD58OLZv347FixcjMDBwwOtduBJ4S0sLpkyZAhMTE7S3twueUWZmpkIvn94ajdbWVjz00ENob2/HiRMndGZ8AKLb90RnB6gfT11dHX7//XcFpmpdXV23PXm48cnIyEBkZKRak4mbN2+io6Oj17p+NjY2WLZsGY4ePYrFixf36hh/NQwaoH6ENtqNt7a2YsOGDXj44YcVwgmD7cZ7DxsbG8TExAiFo5zePXfuXDg5OQkN9sLCwvrdGHHj09DQgLCwMCHnY2JigmHDhmHYsGHo6OhAZWUlysrKkJOTA3Nzc8EYWVtbq5UIb2trwyOPPILa2lqcPn263/NeXcHHxwdz587FU089pcBUXbhwocKETZ6pKhaLsXz5csTGxuLIkSOQSCTC78vBwQEmJiZdtmcJDg7GtGnTen29JSUlWLlypYJi+iC6ARtEn/H2228zAN0uN27cYJs2bWKenp6d9h87dizbvHlzj+dpb29n4eHhLDg4mNXV1XW7bXR0NAPAYmJien1ffxWkp6czPz8/lp2drbC+qamJRUREsIcffpjZ2tqyYcOGseeff56dOnWK1dfXs6amJp0ujY2N7Nq1a+z06dOsurparX3q6+tZdnY2i4qKYocPH2YnT55kcXFxrKioiDU2Nqrcp6amht13330sKCiIVVZWDtC30DWqqqrYypUrmbW1NbO2tmYrV65kNTU1CtsAYN9++y1jjLGcnJwuf4eRkZGMMcby8/PZjBkzmIODAzMxMWFjxoxhL730Equqqur1Ne7Zs4cZGBiwW7du9eFu/1oYzAFpAX/GePZfDRKJpFuKfGtrK06fPi30NDI1NVXoaaTt4kzGmEIDvt7MqCUSidDLp7y8XGVjuY6ODjz55JNIS0vDuXPnOkkMDUI9eHh4oKamBm+++eagJp4GGDRA/YjeKi8ox7PVGSQG243rDu3t7Qo9jRhjQk+jmTNn9pkarQ3jowypVIqamhqh8PWVV16Bp6cnqqqqUFVVhfPnz8PNza3P5xnEIDTBoAHqZ2iqvCAWi7Fs2TIhni2vJddTPHuw3bjuIRaLcenSJaGnUUtLCxYuXIjw8HDcddddGtfPcONTV1eHsLAwneQSpFIpTpw4gddeew15eXmwsLDAokWLsHTpUsydO1cntOtBDEIV/vJKCP0NTZUXCgsLcejQIRQWFiIoKAju7u7CwivBTUxMcPbsWcyZMwdjx45FeHg4MjIyIJVKe6wWv3DhAkJDQ2FmZobRo0fjyy+/7LRNREQEfH19YWpqCl9fX+zfv19LT+P2h5GREe688058/vnnKCgowKFDh+Dg4IBXXnkFo0aNwurVq3Hw4EE0Nzf3eCzGGFJSUnRqfDhOnDgBxhiysrJw9uxZDB8+HBs2bMDXX3+ts3MOYhCdMCCZp0HoBD///DMzNjZmO3fuZCkpKWzNmjXM0tKS5eXlqdw+OzubWVhYsDVr1rCUlBS2c+dOZmxszPbu3Stsc/XqVWZoaMjef/99lpqayt5//31mZGTErl271l+3dVtCIpGwqKgotm7dOjZ69GhmaWnJlixZwnbv3s1KS0tVEg5+//13durUKVZVVaUzYkNDQwN77rnn2IgRI1hWVpbCNUulUtbR0TFAT2wQf0UMhuD+RJg0aRJCQkLwxRdfCOt4tf/mzZs7bf/aa6/h0KFDSE1NFdY9++yzSEhIQFRUFACS86mvr8fx48eFbebOnQt7e3vs2bNHh3fz54FUKkVcXBz27t2Lffv2IT8/H7Nnz8bixYsxf/58WFpaYs2aNbjzzjuxcOFCncneSKVS/Otf/0JERAQiIyMxbtw4nZxnEINQF4MhuD8J2tvbERMTo9AGHADuvffeLsNwUVFRnbafM2cOoqOjBRHMrrYZbC2uPrisz+bNm3Hr1i38/vvvCAkJwSeffIKRI0fC29sbBw4cwOjRo3UWdmOM4d1338Wvv/6KM2fO9Kvx0bSfDwBByFN+mTx5ssI2bW1t+Pvf/w4nJydYWlpi0aJFKCws1OGdDELbGDRAfxJUVlZCIpF0anjXXRvw0tJSlduLxWKBVt7VNoOtxXsHkUiEgIAAvPPOO4iPj8eSJUvQ1tYGd3d33HXXXQgPD8fXX3+N8vJyrTXYY4xh8+bN2LVrF06fPg1vb2+tHFddPPzww4iPj8eJEydw4sQJxMfH49FHH+1xv7lz56KkpERYeKsDjrVr12L//v34+eefcfnyZTQ2NmLhwoWQSCS6upVBaBmDSgh/MihXvbMe2oCr2l55vabHHETPYIzhxRdfRHR0NOLj4zFs2DBkZWUhIiICP/zwA1555RVMnTpV6Gnk7u7eq2fOGMN//vMffPHFFzh79iz8/f11cDddIzU1FSdOnFDQP9y5cyemTJmCtLS0buWnTE1Nu6SG19XV4euvv8b333+P2bNnAwB++OEHDB8+HGfOnBls+nibYNAD+pOANzFT9ky6awPu5uamcnsjIyOh0LWrbQZbi/cNIpEIoaGhiIyMxPDhwyESiTB27Fi89tpruHbtGjIzMxEeHo59+/bB29sb99xzDz799FPk5+er7RkxxvDpp59i69atOHHiBIKCgnR7UyrQl34+58+fh4uLCzw9PfHUU0+hvLxc+CwmJgYdHR0K4eEhQ4bA399/MDx8G2HQAP1JYGJigtDQ0E7ab6dPn+5StHHKlCmdtj916hTCwsKE5mNdbdOdEOQg1MPf/vY3Qc1cHiKRCCNHjsQrr7yCS5cuIS8vDw899BBOnDiBgIAAzJo1C1u3bkV2dnaXxogxhq+++gpbtmzB0aNHMWHCBF3fjkr0Vv9w3rx5+PHHH3Hu3Dn83//9H27cuIG77roLbW1twnFNTExgb2+vsN9gePg2w0BQ7wahG3Aa9tdff81SUlLY2rVrmaWlJcvNzWWMMbZhwwb26KOPCttzGvbLL7/MUlJS2Ndff92Jhn3lyhVmaGjItmzZwlJTU9mWLVsGadgDBKlUykpKStgXX3zB7rnnHmZsbMwCAwPZW2+9xWJjYwWtt8bGRvbpp58ya2trdvHiRZ1cS3/pH3IUFxczY2NjFhERwRhj7Mcff2QmJiadtps9ezZ75plnen9jg+hXDBqgPxk+++wzNnLkSGZiYsJCQkLYhQsXhM8ef/xxNnPmTIXtz58/z4KDg5mJiQnz8PBgX3zxRadj/vbbb8zLy4sZGxszb29vYRCQP6eHhwczNTVlISEh3Q56ERERbPbs2czJyYlZW1uzyZMnsxMnTihs8+2336oc0FpaWnrxRP6ckEqlrLKykn399dds/vz5zMTEhPn5+bHXX3+dvfXWW8zKyoqdO3dOZ+evqKhgqamp3S4tLS3s66+/Zra2tp32t7W1Zd98841G5xw7dizbsmULY4yxs2fPMgCsurpaYZvx48ezt956q9f3NYj+xaABGkSfoGnx65o1a9gHH3zAfv/9d5aens5ef/11ZmxszGJjY4Vtvv32W2ZjY8NKSkoUlkGohlQqZTU1Ney7775j8+bNYyKRiP38888DfVmMMcZSUlIYAHb9+nVh3bVr1xgAjVSjKysrmampKdu9ezdjjLHa2lpmbGzMfvnlF2Gb4uJiZmBg0GlCMwj9xaABGkSfMHHiRPbss88qrPP29mYbNmxQ+xi+vr7snXfeEf7+9ttvVc6aB6EeKioqBvoSFDB37lw2fvx4FhUVxaKiolhAQABbuHChwjZeXl5s3759jDHGGhoa2Lp169jVq1dZTk4Oi4yMZFOmTGFDhw5l9fX1wj7PPvssGzZsGDtz5gyLjY1ld911FwsMDGRisbhf728QvccgCWEQvUZvil+VIZVK0dDQAAcHB4X1jY2NGDlyJIYNG4aFCxciLi5Oa9f9Z4c6nUb7E5rqHxoaGiIpKQnh4eHw9PTE448/Dk9PT0RFRSl0+N26dSsWL16MBx54ANOmTYOFhQUOHz48KL57G2FQimcQvUZxcTGGDh2KK1euKLDi3n//fezevRtpaWk9HuOjjz7Cli1bkJqaKrClOA05ICAA9fX12LZtG44dO4aEhIRB+ZhBDOJPhMFC1EH0Gb0tVN2zZw82btyIgwcPKlB1J0+erCC7Mm3aNISEhODTTz/F9u3btXfhgxjEIAYUgwZoEL1Gb4pfOX755Rc8+eST+O2334RK9q5gYGCACRMmICMjo8/XPIhBDEJ/MJgDGkSv0ZviV4A8n1WrVuGnn37CggULejwPYwzx8fFwd3fv8zUPYhCD0B8MekCD6BNeeeUVPProowgLC8OUKVOwY8cO5Ofn49lnnwUAvP766ygqKsJ3330HgIzPY489hm3btmHy5MmC92Rubg5bW1sAwDvvvIPJkydj3LhxqK+vx/bt2xEfH4/PPvtsYG5yEIMYhE4waIAG0SesWLECVVVVePfdd1FSUgJ/f38cO3YMI0eOBACUlJQgPz9f2P6rr76CWCzGCy+8gBdeeEFY//jjj2PXrl0AgNraWjz99NMoLS2Fra0tgoODcfHiRUycOLFf720QgxiEjjGwLPBBDEJzaKK8EBkZqVJVITU1VWG7vXv3Mh8fH2ZiYsJ8fHyEmpRBDGIQusNgDmgQtxV++eUXrF27Fv/6178QFxeH6dOnY968eQpeliqkpaUp9JaRp3NHRUVhxYoVePTRR5GQkIBHH30UDzzwAK5fv67r27kt0JuGcsrN5Pjy0UcfCdvMmjWr0+cPPvigju9mEHqFgbaAg+g7ysvLmaurK9u0aZOw7tq1a8zY2JidPHlyAK9M+9BUeYF7QDU1NV0e84EHHmBz585VWDdnzhz24IMP9vl6/wyYO3cu8/f3Z1evXmVXr15l/v7+nZQMlKEso/TNN98wkUjEsrKyhG1mzpzJnnrqKYXtamtrdX07g9AjDBqgPwmOHj3KjI2N2Y0bN1hDQwMbO3YsW7NmzUBfllbR1tbGDA0NO4XHXnrpJTZjxgyV+3AD5OHhwdzc3Nhdd93VSaRz+PDh7D//+Y/Cuv/85z9sxIgR2r2B2xBcy01e/TwqKkpjLbfw8HB21113KaybOXPmn+4dHYRmGAzB/Ukwf/58PPXUU1i5ciWeffZZmJmZYcuWLQN9WVpFb9qOu7u7Y8eOHYiIiMC+ffvg5eWFu+++GxcvXhS2GWw73jX60lCOo6ysDEePHsWTTz7Z6bMff/wRTk5O8PPzw/r169HQ0KC1ax+E/mOQBfcnwscffwx/f3/8+uuviI6OhpmZ2UBfkk6gifKCl5eXQtvnKVOmoKCgAB9//DFmzJjRq2P+ldDbhnLy2L17N6ytrbF06VKF9StXrsSoUaPg5uaG5ORkvP7660hISOhUVzaIPy8GPaA/EbKzs1FcXAypVIq8vLyBvhytoy/KC/KYPHmygqrC/7d3d6HMvnEcwL/pIdQajhwItdRoJfM2TY60E8rLydRaO/CSA+854GxzIkcymQhbTqSI1DigxA69LaS8lKw00sqklOj6H1n2n+e/efDc/vP91A52uXa7r1q+7u2+fr+f2HbcbDb/9kaBl8f29jaA0HAG3hfQU1NTMBgMIf8QNTY2ory8HCqVCnV1dZibm8Pa2hp2d3c/vkD6X+AVUJR4fHyEwWCAXq+HUqlEfX09Dg4OouqP6OvKCzU1NYHx1dVVVFVVRXycvb29oKoKL23HOzs7A2PR3na8paUl7B1nmZmZ2N/fx/X1dcjPbm5uInpvuVwuHB8fY3Z2NuxctVqN2NhYnJ6eQq1Wh51PUUDi76Dok3R3d4vMzEzh9/vF8/OzKCsrExUVFVKf1qd7b9vxwcFBsbCwIE5OTsTh4aHo6ekRAIK6urLt+O99tKGcyWQS+fn5Ef2ug4MDASCoiy9FNwZQFFhfXxe/fv0SLpcrMHZxcSHkcrmw2WwSntnXeE/b8YGBAaFQKER8fLxITk4WpaWlwul0hhwzXNvxn+y9DeVe+P1+kZiY+Gab97OzM2GxWMTW1pY4Pz8XTqdTKJVKkZeXx4ZyPwgDiChC76nAYDKZ3qzAkJOTE5hjt9vfnPPw8PA3lhMxn88nDAaDkMlkQiaTCYPBELKvCoCw2+1BY2NjYyIhIeHNvT0ej0eUlZWJlJQUERcXJxQKhWhraxM+n+8LV0LfDRvSEUVgdnYWRqMRNpsNWq0WY2NjmJiYwNHREdLT00Pm+/1+PDw8BJ4/PT0hNzcXra2tMJvNAACHw4H29vaQxn2pqalfuhai74IBRBSB4uJiqNVqjI6OBsays7NRXV2N/v7+sK9fXFxEbW0tzs/PA4VaHQ4HOjo6wpa1IYpWvA2bKIzHx0fs7OxAp9MFjet0uog3Y05OTqK8vDwQPi/u7++RkZGBtLQ0VFZWYm9v79POm+i7YwARhfEnFRhe83q9WFlZQUNDQ9C4UqmEw+HA0tISZmZmEB8fD61Wy86v9GNwHxBRhP60WoLD4UBSUhKqq6uDxjUaDTQaTeC5VquFWq3G8PAwrFbrp5wz0XfGKyCiMD5SgUEIgampKRiNRsTFxf3n3JiYGBQWFvIKiH4MBhBRGK8rMLy2uroatlrCxsYGzs7O3izE+W9CCLjd7qAqDUTRjB/BEUWgq6sLRqMRBQUFKCkpwfj4ODweD5qbmwEAvb29uLy8xPT0dNDrJicnUVxcDJVKFXJMi8UCjUaDrKws3N3dwWq1wu12Y2Rk5K+siUhqDCCiCOj1evh8PvT19cHr9UKlUmF5eTlwV5vX6w3pyur3+zE/P4+hoaE3j3l7e4umpiZcXV1BLpcjLy8Pm5ubKCoq+vL1EH0H3AdERESS4HdAREQkCQYQERFJggFERESSYAAREZEkGEBERCQJBhAREUmCAURERJJgABERkSQYQEREJAkGEBERSYIBREREkvgH7JtGmlITUGoAAAAASUVORK5CYII=", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fb.show_matplotlib()\n", "_ = wb.plot_cross_section(show=True) # specific to WaveBot" @@ -148,17 +127,9 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Warning: Minimum wavelength in frequency spectrum (0.24980959867703897) is smaller than the minimum computable wavelength (0.8056649972774919).\n" - ] - } - ], + "outputs": [], "source": [ "f1 = 0.05\n", "nfreq = 50\n", @@ -186,158 +157,9 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:wecopttool.core:Using the geometric centroid as the center of gravity (COG).\n", - "WARNING:wecopttool.core:Using the center of gravity (COG) as the rotation center for hydrostatics.\n", - "C:\\Users\\jorge\\miniforge3\\lib\\site-packages\\capytaine\\io\\xarray.py:68: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.\n", - " keys_in_dataset = set(dataset.dims.keys())\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=8.796, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=7.97e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=9.111, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=7.43e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=9.425, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=6.94e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=9.739, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=6.50e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=10.053, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=6.10e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=10.367, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=5.73e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=10.681, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=5.40e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=10.996, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=5.10e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=11.310, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=4.82e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=11.624, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=4.56e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=11.938, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=4.32e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=12.252, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=4.11e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=12.566, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=3.90e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=12.881, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=3.72e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=13.195, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=3.54e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=13.509, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=3.38e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=13.823, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=3.23e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=14.137, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=3.08e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=14.451, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=2.95e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=14.765, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=2.83e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=15.080, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=2.71e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=15.394, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=2.60e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for DiffractionProblem(body=WaveBot_immersed, omega=15.708, water_depth=inf, wave_direction=0.000, rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=2.50e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=8.796, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=7.97e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=9.111, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=7.43e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=9.425, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=6.94e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=9.739, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=6.50e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=10.053, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=6.10e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=10.367, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=5.73e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=10.681, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=5.40e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=10.996, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=5.10e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=11.310, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=4.82e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=11.624, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=4.56e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=11.938, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=4.32e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=12.252, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=4.11e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=12.566, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=3.90e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=12.881, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=3.72e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=13.195, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=3.54e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=13.509, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=3.38e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=13.823, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=3.23e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=14.137, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=3.08e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=14.451, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=2.95e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=14.765, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=2.83e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=15.080, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=2.71e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=15.394, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=2.60e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n", - "WARNING:capytaine.bem.problems_and_results:Mesh resolution for RadiationProblem(body=WaveBot_immersed, omega=15.708, water_depth=inf, radiating_dof='Heave', rho=1025.0):\n", - "The resolution of the mesh 'WaveBot' of the body 'WaveBot_immersed' might be insufficient for the wavelength λ=2.50e-01.\n", - "This warning appears because the largest panel of this mesh has radius 1.01e-01 > λ/8.\n" - ] - } - ], + "outputs": [], "source": [ "bem_data = wot.run_bem(fb, freq)" ] @@ -359,7 +181,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -380,7 +202,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -411,17 +233,9 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:wecopttool.core:Linear damping for DOF \"Heave\" has negative or close to zero terms. Shifting up via linear friction of 37.387508360018536 N/(m/s).\n" - ] - } - ], + "outputs": [], "source": [ "wec = wot.WEC.from_bem(\n", " bem_data,\n", @@ -453,7 +267,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -476,7 +290,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -501,30 +315,9 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jorge\\Documents\\ragetechWEC\\WecOptTool\\wecopttool\\core.py:749: UserWarning: The `squeeze` kwarg to GroupBy is being removed.Pass .groupby(..., squeeze=False) to disable squeezing, which is the new default, and to silence this warning.\n", - " for realization, wave in waves.groupby('realization'):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Optimization terminated successfully (Exit mode 0)\n", - " Current function value: -1.0145331487126692\n", - " Iterations: 18\n", - " Function evaluations: 19\n", - " Gradient evaluations: 18\n", - "Optimal average mechanical power: -101.45331487126691 W\n" - ] - } - ], + "outputs": [], "source": [ "options = {'maxiter': 200}\n", "scale_x_wec = 1e1\n", @@ -555,7 +348,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -573,30 +366,9 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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TOPTQQwteN2PGDPj9ftx999047LDDuI6pEI466ij4/X48+eSTeO+993DbbbeZv6uvr8fkyZPx4IMPYsOGDZg1a5aUMWrwhXaONMoev/jFL3Dcccfh2GOPxZVXXolkMolf/epXqK6uxs6dO83rjj32WMycORPXXHMNOjo6MHXqVLz99tu44YYbcMABB+Dss8929fdbW1u5Gxa3aGhowOLFi3HiiSdiypQp+MlPfoJJkyaho6MDTzzxBB555BGcfvrp+MlPfsJ1HDfddBOWLl2Kww8/HJdddhnGjx+PSCSCDRs24O9//zvuuecejBgxAieccAIWLFiAWbNm4Uc/+hF27NiBO+64o6BjeeaZZ2Lu3Lk488wzEY1G++nJpk6dih/96Ef4wQ9+gDfeeANHHXUUqqursWXLFrz22muYOHEiLrzwQgDpkuzp06fjhhtuKNrdu7a2FqNHj8Zf//pXHHPMMWhqakJzc3MO63L55ZebDsCiRYvyfk4oFMKdd96Jrq4uHHzwwVi5ciV++ctf4vjjjzfZCSfjLzTWfKlPGTjjjDPwyCOP4Fvf+hYuv/xyHHLIIQgGg/j888+xbNkynHzyyfjOd76DMWPG4Kc//Sl+8YtfoLe3F2eeeSbq6+vx/vvvY/v27bZYWq+gLSSeeeYZ+Hy+fr3Fpk2bhrvuuguA1hsNWEiVg2toMMLf/vY3sv/++5vl0bfeeqtZ+WVFb28vueaaa8jo0aNJMBgkw4YNIxdeeCHZtWtXznVOqtVYolApfzHYGevGjRvJxRdfTPbYYw8SCoVIfX09Oeqoo8jDDz9sVoA5AS3lz4dC1Vzbtm0jl112GRk7diwJBoOkqamJTJkyhVx//fU5rQb+9Kc/kfHjx5NwOEz22GMPcsstt5D777+/YEXVrFmzCIC8JfTWzzz00ENJdXU1qaysJOPGjSPf//73yRtvvGFe8+yzzxIA5J577in5/V988UVywAEHkHA4TACQ2bNn97tmzJgxZN999837fjpnb7/9Njn66KNJZWUlaWpqIhdeeGHetgt2xs8btFptzZo1Oa8XembzPZfxeJzccccdZNKkSaSiooLU1NSQffbZh5x//vnko48+yrn2z3/+Mzn44IPN6w444ICc6rJCz+Ds2bNLVoYWq1ajoC0uDjrooH6/e+aZZwgAEgqFSHd3d8HP0NVq5QuDEBcHK2loaGgMMFx99dV47LHH8NFHH3muCnz77bcxadIk/O53v8NFF13U7/dz5szBk08+ia6uLk9/R8MdNmzYgLFjx+L+++/H97//ffj9ftfnMOZDMpkEIQR77rknJkyYgOeee47ZZ2uIge6QraGhoYF0WfbPf/5zT47RJ598gpdffhk/+tGPMGzYsH5pPg21cM455yAYDOKpp55i+rlTpkxBMBh03NFeQx1ozZGGhoYJGvEWgmEYOYLngQS7wuVi+MUvfoGHHnoI++67L/7yl7+gqqqKwcg0WKO1tTVnvseNG8f08x999FHzGJiGhgamn60hBjqtpqGhYWLMmDFFo91p06Yxb5yooaGhoRo0c6ShoWHi2WefRTQaLfh72otGQ0NDYyBDM0caGhoaGhoaGhZoQbaGhoaGhoaGhgU6reYCqVQKmzdvRm1tLdPyTw0NDQ0NDQ1+IISgs7MTra2t8PkK80PaOXKBzZs3SzvzR0NDQ0NDQ8MbNm3aVPRwY+0cuQAVpW7atAl1dXWSR6OhoaGhoaFhBx0dHRg5cmTJ4hLtHLkATaXV1dVp50hDQ0NDQ6PMUEoSowXZGhoaGhoaGhoWaOdIQ0NDQ0NDQ8MC7RxpaGhoaGhoaFignSMNDQ0NDQ0NDQu0c6ShoaGhoaGhYYF2jjQ0NDQ0NDQ0LNDOkYaGhoaGhoaGBdo50tDQ0NDQ0NCwQDtHGhoaGhoaGhoWaOdIQ0NDQ0NDQ8MC7RxpaGhoaGhoaFignSMNDQ0NDQ0NDQu0c6ThCLFECqkUkT0MDQ0NDQ0NbtDOkYZtfPRlJybO+weufupt2UPphy929yKaSMoeholUiuCh1z/D4n9/jkhcnXHt6IriB4v+hefe3ix7KDnojibwu2Uf45NtXbKHYoIQgqXvf4kVH25DIpmSPRwTu7pjmPvEW1j96Q7ZQ8nBf9o6MOu+1/HKh9tkD8VEIpnCE2s2Yun7XyKpUFAXS6THtbM7JnsoOXjpgy9x6PwX8fd3tsgeinRo50hBbOuMYuqtL2PSjUvw+L82yh6OiUdWb0Q0kcKTb36O9zd3yB6Oif99ZwuO+NXL+Pkz78oeiomX/rMVP3/mXcz9n//Djc++L3s4Ju57dT2WrduGSx5di9096mzMVzzxFm7/xzr87Gl15vDFD7bivD+/gdl/+hduX7JO9nBM/G7Zx1i89gucfu/ryjje0UQSx931KlZ+sgM//6s6c7h47Re45ql3cN6f38DClz+SPRwTD6xcj2ueegdn/XE1CFHDadvRFcU5D76BLzuiuOV/P5A9HOnQzpGCWPHhNnyxuxftvXE8uOoz2cMxsfKT7eb/P7ByvcSRZNEdTeDCR/4NQoD/eeNzxBWJ8P+9cZf5/29+tlPiSHKxen2WbXhg5QZ5A7HgP20dWPr+lwCAVZ/uQG9MDYO/ZkN23lZ/qs4cvvZxdh0+pkjw9OL7W83//2xHD3piCYmjyeLfn2XXoXU+ZeOh19P7+gdbOvDqR9tLXC0GVrbo8129yqxDWdDOkYJ4b3O7+f8fb+1ELCHf4H++qwcffplNefynrVPiaLKwGnsAWLtxt5yB9MG7X2Tn8JNt3UpE+Lu6Y/i/TbvNf/9bkXv1psWAAcC/FDFi1nW4rq1TibTM9q5oztp7Y8OuIleLw4df5u4H/1qvxhy+a5nDD7Z0KsHStPfEsXl3xPz3kvfbJI4mi0+2dZv/TwjwhkJBnQxo50hBvGdJWcWTBB9tle+IfLQ17Rj5jPS/N2zvLnK1OHy6LXccKugdCCE5zlEyRfDxVvlamrc+3w2rff9shxpz2PdZWvmx/EiaEJKzDnvjSWxQ4H71dYZUGBPQfxwqOEexRArrLI7kzu4YtnZGJY4ojdfX78hxtD/b0SNxNFms77MOVXG8ZUE7R4ohlSL4ILMpN1QFAaQjHtnYvLsXAHDYuEEAgI5IQgnNCl3QdRUBAGowWpvbI9jVE0fAZ+DAUQ0A0vS5bNA5/FprHYA0da5CGnL99rRx2HNIDQA1DP4Xu3uxOzOH+w1L3y8V5vCLzByOH1oLIG1YVWBD6Do8aHQjAGDTrl6ZwwGQZrPiSYL6yqD5bL2vwBzSoGRYfQUANZ53IDuOI/dqBpDdL76q0M6RYvh8Vy86owmEAj6ctH8rACghfqYLZdzgGgytCwMANigQ8dAFfURmQW9pl7+gP8sYilGDqjBpZAMA5ESwskDncPLIBlQEfUimiBIbIJ3DwzOO95b2SLHLhYAyfXsMrsakkfUAgP8oEKRsyczXoXs0wTCArmgCOyRXPBFCTOfInEMFnqtPM2Pae2gN9s04uGqsw/TzTQPNL3b1SpdOxBIpbNqZ3s8PU2gdyoR2jhTD5oxxH95Qib1b0tHhpl3ynZAtmQU9rL4SowdVA1AjLbNhO13Q6kQ7lLofWluBkY1VAIAtHfI3GjqHIxqrMLopPYeyHdxkimBjZgzUsFr1GLJA57ClvhIjMnPYpsAc0v1hzKBqtNZXApC/Dnd0x9AZScAwgK/voY5h3ZqZr6F1FRjRmL5XbQqMi+5Rk0Y0oCrkR4qkNZ0ysWlXD1IEqAr5MWlEA4Dss/ZVhXaOFAPdlAfXhjGkNpzzmkxQOr+1oQKjm9LGQnauPBJPmgt4asaw7uqJS6+y+DKzKQ+pC2NwZg63dSg2h4PoHMo1rJt39yKWTCHk92HK6CYAadGx7J5V2zJrbkhtdg5VWIfUcWxtqMSY5vQc0gBBFugz1FpfiTHNaae7rSMiXcCencMKy14q3zmijuPwhmygKTu1Rudw9KBqtDakHcnNu3uVSNnKgnaOFAONdoZYnKNtCkWswxsqMTLjHH0hWVfw+a5eEALUhAMY21yN6pAfgPzUmskc1am1KdM5bG2oxKjMHFIqXRY2Wxy25poQwoH0liQ7ws+3DreqsA4t98ucQ8msw9YOyrKln3e/z0AyRUznRNq4qHNUF8aQ2rS+R/aYAOscVioTaG7vTKdmh9aFTS1UJJ7C7p64zGFJhXaOFENOtFOXWdBdUakefCpFTGPV2lCJQTUhAJCuddjeld38DMPAMDPikWxYLayDOYeSN+W+c9icMfg7uuTOIX2GmmvSczhcxTlUxLDGEilsyzzzrQ2VGFyjxhxuz8zhoOoQAn4fhmaeLdlpmS8tDq4q7F8knjSf+daGClO/SfcyWdjenf77g6rDqAj60VSd3uNlz6FMaOdIMVhTMs0ZJySeJFI9+O1dUcSTBD4jvdEMqk4v6J3dchc0NQrNmfHQiEf2gqYMw2DLptwdS6I7Kq8xnnUOh9aGMahaDQeX/n3qcA9rSM+hKuzfkLoKDMkYsJ09ManVfV92REAIEAr4MKg6ZBqwHdLXYcawZpw1GqRsUcbBtTC4HXIDTZpSqwr5UV8ZNO+Z7GNEdtK9lK7DzF4qew5lQjtHiiGbkgkjHPCb5fwyIx5qwBqr0pEhNWSyFzQ1CnQ8wy25cpmwsn814QCqMuk+mcwDfX6aa8JqzWFfw5oRGcsW9NI06JDaMJqqQvD7DBAil6WhgVNLXQUMwzDvmWzmaEcfw9pSr4iDawqys0FKbzyJbomaRHpPWurTc0gd3O2y57BvkJKZQxWKEGRBO0eKwRrtpP8rX7OyK9PPiDpqJusgm87vyl3QgxVJFVm1DgCUoPTpHNLNmLJ/OyTT+Vn2LzMuBZw2QoipoxlSWwGfzzANv9x1mGaPG805VIX9oymZ3HHtktgHLRJPoiOSZmqH1FagOhwwNYkytWO7utNzSNnuZgWedyCb1mvKjKuxKj0uFXrZyYJ2jhSDVQia/m9F5nV5Roym9Poa1s5oQmpVkck6ZMbTUCV/U+6OJtAVpZtyOOe/MpkjuvlSB7fJYlhlphmy7F/upixzDjsiCUQzfWeog6vCOtxlMriZIEWRlMwOM0jpuw7lSQHoWgsFfKirTDeIVUH/t7On7zpUK0ihwUlTtfw5lI2ydY5uueUWGIaBK664wnyNEIJ58+ahtbUVlZWVOProo/Hee+/lvC8ajeLSSy9Fc3Mzqqur8e1vfxuff/654NHnR99oJ/1f+axD1rCmF0xdZQCBzDkiNBKSgb50flN1esORqc+iY6oI+lATTm/KgxVg/+g9oc4H3QSjiZTUNANl/+hmTA3/LokGnxrP2nAAFcE026DCOqQOI53DJgtDk5CoheqbkqFzKJN1oML1wRmhP/1/QO4c7u7OnUOzuEUy2033+GaFAk3ZKEvnaM2aNbj33nux//7757x+2223YcGCBfjtb3+LNWvWoKWlBcceeyw6O7NdUa+44go8/fTTePzxx/Haa6+hq6sLJ554IpJJBQ4GzTyIAZ9hRju0qkhmNcPuntyINTdXLlMLlcs6qLCgd/dmHMnKkLkpNyugDcmmRtP3qCoUQGXG8O+UOK6s5ig9LhVYh/bMHNL0FZAdn8xni94Tyjo0VgVhGOlDQmXeLzqHzX3ZP4mBU3ufewUAzbXUEZHp4OamRpsVYOEJIf30m1kHVzNHZYOuri6cddZZuO+++9DY2Gi+TgjBXXfdheuvvx6nnnoqJkyYgAcffBA9PT149NFHAQDt7e24//77ceedd+Kb3/wmDjjgADz88MN455138OKLL8r6SiZ2WxY0Naz1lemHtL1X3kO6qw/rAGSjVpmUvkkFm6wD3ZTljYnOk3VTVmEOs8xRdlwqVDtZS/kBNbQOdJ7ovFn/X+o6zNyrpsw9Cvh9aMiMS9Y6TCRT5v5A1yF99mU6ksXXobyq0b6BppWFlzWHHZEE4sl0ar2pum+QopmjssHFF1+ME044Ad/85jdzXl+/fj3a2towY8YM87VwOIxp06Zh5cqVAIA333wT8Xg855rW1lZMmDDBvEYmqAGrU21T7sM6ABY2RKJh3d7VV69CN2WZrIOac0g33qZq6xzKpfQTyWyTuUF902oS55COKZ9zJNNpM9dhDqMlV7NCNTQ+I7s/UAdXbjCQZXAp6lRYh31So1YWXtY6pM9OjSWNrJkjICB7AE7w+OOP49///jfWrFnT73dtbW0AgKFDh+a8PnToUHz22WfmNaFQKIdxotfQ9+dDNBpFNJrdfDo6+BwEa0Y7ihnWoqyDpAUdS6RMfVZzn5RMbzyJSDxpLnSRMNk/xeYwn4Mrm/2jhsKwGtbMmDoicSRTBP5MVC0SJnNUVuyfpDm06BHpXKkgqqfskGpBSt/UKJCew62dUWlzaGrZqrNjalSg4lA2yoY52rRpEy6//HI8/PDDqKioKHgdTUdREEL6vdYXpa655ZZbUF9fb/6MHDnS2eBtgmodrAaMLugOBViHfIZVVmSx22JY6yoyFHVFwNygZY1L1ZRMPsNKN8CdkjbAdgtDQ+eNOpWEyLtfeZkjBdiQvoJsIJtik2XEOjJOiPVeNWSMbCSeQiQuR0djav+Uc3D7M7jZ9hVy2L+8c1iVvVeyz8iThbJxjt58801s3boVU6ZMQSAQQCAQwIoVK/Cb3/wGgUDAZIz6MkBbt241f9fS0oJYLIZdu3YVvCYfrrvuOrS3t5s/mzZtYvzt0si3KVsfUlnIt6BrK9KkY2dEzrg6Mn+3riIIX8awGoZhSctIMvhFtA6qObjUqVRhDikCfp/5bEmfw7wOrjy9Sj7niBZudEbkjIs+03UV2SREbdhSzSp5DnP20kyKTeY63FV0HUqawzzrkN4rQuTeL5koG+fomGOOwTvvvIO33nrL/DnooINw1lln4a233sIee+yBlpYWLF261HxPLBbDihUrcPjhhwMApkyZgmAwmHPNli1b8O6775rX5EM4HEZdXV3ODw+oyjrsysM60IXUIWlB57tXgHwhYXte1kH+HOZzcOtMp02WYaWpj9zsvmxhfUeRdSjLUBCSPULImv4w16GkcZmG1XKvDMPIrkNJFWvtCqa3E8msFCDvXiprDnv7O0ehQLYVyVc1tVY2mqPa2lpMmDAh57Xq6moMGjTIfP2KK67A/Pnzsddee2GvvfbC/PnzUVVVhVmzZgEA6uvrcc455+DKK6/EoEGD0NTUhKuuugoTJ07sJ/CWgd1FWIeeWBKxRAqhgFh/Npki5gbYkDdilbWgCxlWuUJCSufX50mN7u6N20rzskY0kT0yIXdTVoP96+vgNlYFsXGnPFF2sXUoS5DdGU0gkUlv5DJHcoMU07DmmcPtXVFp90vFQJM+V4aROy7p7F+kf1oNSD//XdHEV7YRZNk4R3Zw9dVXo7e3FxdddBF27dqFQw89FEuWLEFtba15za9//WsEAgGcdtpp6O3txTHHHIMHHngAfr948W5f5It2ai3efHtv3GwoKApdkQRoA2WrI1JbIZl1yEMFA1kHTpbIuNimnEwRdMeSZkQmekxWfRYgn/3LF7ECCrB/eVMy6f/vjiURT6YQ9IsNUujeEA74cgoNaAqyQ5KDawqfK/o6R3L7VVFHRCVRPQ3YasMBBCzPT3YdSmaO8jC4n+/qNbWwXzWUtXO0fPnynH8bhoF58+Zh3rx5Bd9TUVGBhQsXYuHChXwH5wL5qmT8PgN1FQF0RBJSnCO6YEMBH8KB7KYse0EXSquZ6Q9J48pXrVYZ9CPoNxBPErT3xoU7RzQirQkFTH0WkN0MZdH57QWcI8pCyIqkKdtRn6cMHEjfL1pCLwr5WkQACqRkIvkNq2xmuViQ0htPIppI5uxnIpAvBQlYHFzFAs2srlSezk4mykZz9FWAtbuyFTI1K3RhWAWXgHzDWoh1kL2g8+lVDMMwDW27hEia3ovavnMoXQiaPzUqW+zfnqd6x+8zUJtxamWuw35zKNmRzPe8AzADABnjIoRYOmTnFpHQjLaMOSy0Z9VJDug68rQ9AOTvpbKhnSOFYFarVRVgQ6RsyhkquJ8TooZh7XuvqAHrkiwUb+g3hzINa6GIVfamnN+w0k1ZxhwSQsxx9Z1DmU0EC63DOslptcKsQ2Z/iIqfw0g8hVjmrDkrg+uzOLhy9tLiQYq09HYB9q8mLHePlw3tHCmEUqkipZgjGlVEE1L6YNDIsO+4aiWWp8eT2UNcVZpDGhn2Zx0ks3+FnDaJrENvPGkaVpXmsNA6lK79K8A61Ehk/+j8BHwGqkK5qbMGif2qss5RAYZGWRb+qynI1s6RIkimiLl4GlTalKPFmSNAToRfqNLJZB0kRKzdlr/ZV1ekIvtHN8PuWFLKqe6FNEd0nDLmkD7LPgP9DKtc56hQSkZ2CrJQkCKP/evK7Fk1FYF+laFKzGE/fZYabVEKpdVkrEMVUNaC7IEEv8/Ah788Hu298ZxSXQCoDcszFoWo4FDAh8qgH73xJDoi8X7pLd4otKBrzDSDvHtVEfTlVKMActMMhViHGsu/u6KJHH2GCOTrzAtkHUsZqSI6PzXh/oa1RqKx6CihOYomUlKOzCkYpEhk/8wChDyFD/S1rqj4zt2FUpDSNUfm/qA1R1Zo5kghhAI+DK4N51QUAVaKWh3nyPqajEVdSusgJ2Klm3J/R7E6syl3S3GO8jNHQb/PZEdkpGUKaR1kRqxdBVIfQNbgy5zDfsFAKCsylrE/FOpzJJX9ixZxjiQyWoX2UvrvWEL8cStWjV3/IEVrjjQUR7UZ7chzQvIZC5kdlgtqHWjEKuFedZubcv/oXabBL8Q6AHJbMhTSOsgMBpQ3rH3G5fMZlsowsXOYShGTaes3h5LGBFgd3MLMkRwHt8C9kujg9saTZnNR1apGZUM7R2WAbMQqngouxhzJrJTJitcLCMVlGDBqWPPcq+qQPOeokBA0/ZqcOSSEWEr582uhpBjWzPxU53FwqyWmZIqvQzmala5YtkFs33GZDq6M572YgxuWNy4aDPS9VzlVdIKfeRpk+n0GKvukZGWmkVWAdo7KANUK5O/zG1Y5ImNCSMFUkTW6J0RsFV1XMa2DRNahUPoq/ZqcOeyNJ80qx36GVWI7BnMO8zzvNYoyuNkmgmLHRe9VyO/rp3WSqVfpNh3cPEGKAsxRcRZe8BxS8XoejZ3MQFMFaOeoDEANq1y9SmGDL3pcvfEkUgUiVrrxJFIEkbjYCqximiOaapPDHBU2rLIEqtaqsL4RK53T7lhSeJsIOj9901eA9V7JS432ZdkAeSnbYiybWUQi0cEtppNULUiR1TSTrvv8LJs83ZgK0M5RGUCuYc1f6QSkc+UAzN4+okDvQz7DWhX0Z/P3giP8YpojmRtNsZSMLA1GlyW6L1QVZr1O9LhUq3QqFqTIYkO6iqSR6Th74+mz6KSMKx9zFJK/lxYLUnpiYsfVXeReWTVHoll4FaCdozIANaxSq2TyLOgqSU4bjfryGdZcgarYcZklxHkNWOZeSUyN5nNwqyQZi2IMTTjgRyiQ3ppE6466bKRkumS0GCji4Mpyjsz0Vagwq2y9ThQ6izG4EqvoOmw4uKId705zL80T0GXGGU8SRBPi+6DJhnaOygD0wZXZI6dotKNQdA/IO0KkWFotmypSy8GtlhSxFnNCAMscSnK8i7EhcgojisxhxsEVzuAWcdiCfh8qgtTBleS05WVw5QQDqRQx/2b+dZiZQ0kObl6NncXp/SrqjrRzVAaolcgcFTMWsqKdks6RpHPfiqXVqiU5bGnxeuE5zKbV5BjWfGMC5Al6izFa1ZIctngyZernVGKOSjm4svrkFC/ll7OXdhep7AOy7Jvo4KmryJ5lZeG/iroj7RyVAWhU0SNYoEoIQVesSGlzSE60U8qwyjrXyU4JsehNJppImX1M8o1LVmqUGoFCDq6sOSxm8GXNYbFjaayvqeYc1Ulfh4UZGllOd9BvIBzob3alO7h5UqPAV7vXkXaOygA5+XuBkUVPLGlGO3nFjWHZ0U6hiFWSUNxGGXg0kRIqULUa8rzaEFlptSJtDwBLJK0Qo2V1jkQKVKkhDwf6H0sDAFVmDy2x96q7CMsGWFO26syhrPS2tb1AX51k+nUaaMqZw0KBZlVIzrhUgHaOygDhgB9Bf3pBiUzL0IWTryoMkC8ELWhYTaZNHafNGl2LvF9Z0ay/37E06ddlpUbTf68Q60Bf75VUCZm3lD9jQJKC20RQQ54vHQNkUyKyhM+F5tA0rKIdkSKspDW9LcPBLcTQyGaOCu+lcoInFaCdozKBDEq/WLk1IC+6L5a+ArKRtLQoLM+4gn6fSaeLpPRLpT5kCUGtzefyQZZhLVaeXmUJEESuw2JNDa2vy2JDShpWWexfkRRkIiW2AovuRYUdXDVZ+CoJYn9CCNa1deLzXT1ICe5zZoV2jsoEMsSg3UUahKXHJL+UPx+oFkp0tFNM+AzIofRLpq+ksX8lnq2QpJRMEQ2GLIGqsqxDiWdLloNr5xgfQHSgmQ4GCrNsclOjhfdS8RXJvfEkZt71Co741TL0Cj6I1wrtHJUJZByp0FliQctuXFYoCquSVYFlM5IWmhqNFXfYZLEOpRzJKlmMVpFKJ0CO+Nl0JAvNoSx9ls1xiXRwo4kkYhlGKN869PkMKYUkxTpRp1+XxeDaDJ4EziEdk2FkHWwZ0M5RmUBGxNpdQhciywkplVaTwRwRQkqmGWQcemlqewqxDpJTkCUjVoGbciKZMiPVUmypyNSoXY2d+JRMCTZEgsG3PselDL5acyhLc2Tvee+VwXaH8ss5REE7R2UCGZUfxfr2ANkmYbFkyozWRKBUWq1KwrEmOSXzJSJpkSLjkilIWalRm5VOsgxrSaF4XCSDW6qfkOzUaP79QYaDS+9BZdAPf54CBEDOXlrsHDrAumeJZkrtpftE7qWlgnJR0M5RmaBKAhtSqgdGlWWhixxXqeods1pNgi7EMHKFu1ZUSqDzS6UgqWGNCW4xUMrgW3t7iQLt6RUK+MzjS/qCVm2KZNpKsQ6yGNzsuPq3rgDkMEel0rVAdg5l7KWF7pWsZqyltX/i99JiRREioZ2jMkFlSLyxKNUDI+jPGhGh4sYSAlUZUZh5r0KBvCXz6XFlKGqBIkO7ESsgtqqopMGXMIem3qhIxGrOoQTWQTUGt7PEsyWDOSrFSALWVJF4BrcgyyarGWupPkcSNUeaOdKwBZkUdSEDZv2dyIinVGQhhXWwsaBltBgoNa5QwIdQprFgl0pVdGbEKvJeZdoLFIlYs8ZCnXYM0hhc0xEpwBxJqFazM4eVUlJF9jR2IhncUicgpMclnmUrJecQBe0clQmqJNCbpVIf6d+Jj3hK9+YQr8GwQ+dnWQcZBqz0HIp8toodDgrIckKKpxiAbMpUpSBFBoObTBHzHhQ0rFK0PfbnUKjIuGRAJ57BLXUCAiA3oCs2hyKgnaMygZlWE5iSscMcZRktlVgHeXR+0U1ZcUZLlGG1RqyFxesS7lUJ8br1d3JSMuowuFantdTREzL2hqLPu1ndp87+IIPBLXUCAiDntAGdVtNwBBnNuMyqgSK9JkSfvZNKEXNTU6lHjh1HsiqoZv5edBrSWcQqPiVTjGWrlJIqsuPgih0XdULSB6mWYI4kpEbt6MZUYv8AS/Ak6Jm3ZgYKlczLYI7ssN0ioJ2jMoEMQbYT1iEiiNHKiVhtMEeizk8q1XsJkJtWKzauSsEtBrocRazinndbqVEzJSPQWJRg2YDsfYwIGlcpDQ0gSXNkYw6zLTXUkiiYz5aovdROZkAzRxqqw6ywUCytViF4QdOFE/AZ5lllfUEjsESKICZI3GhnU5aTViutwagMpu+j6Dm0FbHGxB0QWqqsGchqoWSk+2w53oLm0E4wkGW7BTq4toIB8Wk1W3up4EpIe8+VBLbbRmpUBLRzVCaopCkZxfpNVApe0NbS00KGtVpCebot2lwK+1e8yRuQZR1Eb8p2ROKEAJG4IAe3xGG4gKx+Y8W7nAPigxQnaSKxDq59Rkso+2crSBGrK7WVcpch5yjRx04UtHNUJpBjWNWjgksdwgkAfp+BigwbIkyDYSdiDYoXr9tiQ2iaQbBhLfZcVQT8oL6vSnMoU69SzFiIDlLssA50jaZIuoO8kHHZuFdVgotIUiniSDcmLDUas+/g9sSTSKUESRRs7PEioJ2jMoGqaTXhm7KNzQ8QX7FmR68is/9SsXGJZh2KnZpO4fMZ2bJ5QeyfvXYMYtMM1vPebLEhCrEOVj2ZKMa700EKUlgBgmVOlJIoOHBwCQEiCfHZAZnQzlGZIJtWU+uMGxXpfEB8xZqzlIyYexVLZDsm1xSJwipDGc2R6NRoyTkU22LAWUpG0Jgsc1KonxBgWYcS0tuF4PMZwqtZVWT/qBNiZbTzoVK4ftPO/u4zGVxx67A02y0C2jkqE4g+HTmWSJli5qKGVXBTvE6bYr2qoFjmyEn6StyYss9KMcMqOq1mt8mbLDZEpTJwOochv69gyTwgw7Bm5rBE6kP0HNpx2kSvw+wZlf6ip8yL1kLZ6URtGFkGNxITmxrVgmwNW7A2gRQhbrRvWDMLR/SmXIJyrRA8Liel/KK0DvReVQR9CPgLL3XRrIPdzc8sTxesZ1PSsJY4SkG4qN7myekqpopEr8OsZiz/MSsUsiQKpfZSOi5RaTXdIVvDEaqsuV8B1Tv0AQ0HShhWSdFOqQZhwsvTIzaqwixRtAgH1+4mI5x1sGHAAAmpolhpp02Wg1uSKRXOspU+wwwQ77TZ6iekqIMrqy1KqWeLMpYi5pAQYjvtzhvaOSoTWMWNIjZmu8Jn0YbVzuYHiN+UaVqt2P2qFuzg2tHQABZHUjHNkSynzU5aLRJPISmgese2Iyk8SKFp5BKMlkAG12pYi1erie1E7ZQpFa2FKhloCnS8o4kUEpl1pQXZGrZgFfOJWDz2Dat6JcSA2E0ZsFvKb6neEejgltb2iNUc2alWA8RuyoC9NEOVRWMjYlyqOpLZqrDiqSKRbEhvPIlUiWNpAItzJIrBtblniZYo2GFKAbHPFn2uDCPbJkYWtHNURhBJB2dFhGrR+XYiQ0Dsppw+7630RuOzOLginEm7Eaus1KhKmqNoIol4kpQcl7V6RySDazutJnwO1dFCUSek2LE0QLYKkgjqv2SnnxCgblpN5NE03Ra74/MVFq+LgHaOyggi9Q52yylVX9C9Aios0hFo+v9V6r+kKutgpyoMEKs5ooYVKB4QWKt3RPRfsl2AIGsOS45LnPbPzrE0gPj+S7b3LEktBkquQ4EBsCpibEA7R2UFkWXEtiNDwRGrnSZvgFiDb+1jUui8N3NcAh1cuxVFqlY6mf2XRBrWkB/+EhFrpcA0pOnglmBwRTu43TaZZZHsn12n27pOhbDwqqbVnGoSBabVZOuNAO0clRVkbDSqVcnYpahFao6s0U6xiBXIRvhCKg4d6rPEV/aVqN4JiI9Y7fRWoWyImGfLriOpXlUYIHgdOjiwlI4rKqA83TGDq2hLDZFSAM0caThCWKRhVXVBR+zS+WouaJEObtaRtKkLEZySqbPZ90WE1qHLQcQqlJW0WTIvS/tXag5FpvvspiCBrOMtYi+1W4Ag8l4RQizrUB0HV5UyfkA7R2UFkZuy3YfUuqBFVH7YpV1VvFeAnMoP29G9YhWHIo2FXUYSEG0s7JXMiwwGkilipqPs9zlSJ6ADxLKlKlb+Wiv7VGrkaaeZriho56iMIEvcWAx0kwEER2EKpYqc5MnDAlMyts8wE1janEwR87wwu4ZVyHNl02EDxLIOjlMfAvcGwEG1mmJiXqo5EuGI2HVwRbbU6LKWzIdszqEIB1drjjTcgD6kUYUMq7Xyg/eijiaS5kGqtSX7q4h3QmxpHRRktGhkmEwRs5yd25gsQnSVHFxHmiOB+h7HujGBaeRQoPh5b9Zxidb+lYLIcWUDulJpZIHCZwc6SSlpZM0c2cctt9yCgw8+GLW1tRgyZAhOOeUUrFu3LucaQgjmzZuH1tZWVFZW4uijj8Z7772Xc000GsWll16K5uZmVFdX49vf/jY+//xzkV/FNcRugPaEoH6fgVBAzKK2nuytVH8Vm1UygNg5dNpNHOA/h9TYB/02KvtE6rOczKFABtduuo8etJxIEcSTfCN8uyXggJx2DKoGKXaPDxFZQedkzxKbRtbOkW2sWLECF198MV5//XUsXboUiUQCM2bMQHd3t3nNbbfdhgULFuC3v/0t1qxZg5aWFhx77LHo7Ow0r7niiivw9NNP4/HHH8drr72Grq4unHjiiUgmxegtvCAstHrHXkURIM4RoQu6Mugvet4bIEcIaude0ZSMkOZzNoWgQb9hlq9zn0MXlX1CGRo7Yl6RVaM2DX5FKLseuDu40dLnCFLIcEJKFWsA2TmMKlQ1StNqsQT/o2mciNfDAtehSqX88kdgEy+88ELOvxctWoQhQ4bgzTffxFFHHQVCCO666y5cf/31OPXUUwEADz74IIYOHYpHH30U559/Ptrb23H//ffjoYcewje/+U0AwMMPP4yRI0fixRdfxMyZM4V/LyfIevDitA6lqlGA9AbY3hvnvng6bVbu0DEBorUONu6VSOYoYq8ahTY27IwmuN8vJ5ufUN2Yi9SoyJRMKYMf8vvgM4AUSQvr7axb12NyoM+SMYeqFUZkG2aWSKtZGNxIPGnrWfQ6JvXulX3HmzfKhjnqi/b2dgBAU1MTAGD9+vVoa2vDjBkzzGvC4TCmTZuGlStXAgDefPNNxOPxnGtaW1sxYcIE8xqVIaOxoR0jJqqM2A0VLDYyLM0chSWI6u04baJ0NI4cSQX1WYDg6p1MT6hSzo5hGMKOF3LCOgjtzeYgrSZqDpMpYnGOio/LmmYWtZfW2Ax+RYwJsBzgrYBzJH8ELkAIwdy5c3HEEUdgwoQJAIC2tjYAwNChQ3OuHTp0KD777DPzmlAohMbGxn7X0PfnQzQaRTQaNf/d0dHB5Hs4hdjmc84pav50vpq9aOymrwBxxoIQYhpWO3Mo6n45cnAFnunkJJIW1cgznkyZf8PuuLoEsH+qao6oPsveniVmL3VSgODzGagM+tEbTwoLUuwFmuLsji7l94hLLrkEb7/9Nh577LF+v+urYyCElNQ2lLrmlltuQX19vfkzcuRIdwP3CJFRWIcb6lygXqUURG7KblIy/Cv7UmblmSNnkvscOkiNCj0+xL4QVNQcWs/9Uul+OWq2KJIppcxRiSNNAHFzSFOQIb/P3JOKjksUC+8qGBAxh/b3B94oO+fo0ksvxd/+9jcsW7YMI0aMMF9vaWkBgH4M0NatW002qaWlBbFYDLt27Sp4TT5cd911aG9vN382bdrE6us4giiGxknJPGBNq/E9L6zTZndsIHeT4d27x01KhvdGk9OLxo6xELQpO+onJDSNbH9TNlkH3hq7zL2qCPoQLFGAAIh0cNUsmXfELAtqfOq0b4+oOXSk/VO0VxVvlI1zRAjBJZdcgsWLF+Pll1/G2LFjc34/duxYtLS0YOnSpeZrsVgMK1aswOGHHw4AmDJlCoLBYM41W7Zswbvvvmtekw/hcBh1dXU5PzIgyrBaS+adVO/wbhLmRq8C8K8Mc3d8CN8xWZ2QUgepWselEutgvVcpUdU7Tgw+53O5snNoT1xtHoirkMFX9VwuUalRJ6ltIOt489eNOag4DInZ3wG1Svnlj8AmLr74Yjz66KP461//itraWpMhqq+vR2VlJQzDwBVXXIH58+djr732wl577YX58+ejqqoKs2bNMq8955xzcOWVV2LQoEFoamrCVVddhYkTJ5rVayoja8DELOgqGyeU545LkNbBgcMGpDdmO5S213HZ2pRFpSAdjAkQH0k7EdUDaQe3skQnXy9wsimLStlmxdh2WQexaTUnujHK4JaSOHgal4KspFMNDRXVc2eW3Wj/OI8pZRGvq5BWkz8Cm7j77rsBAEcffXTO64sWLcKcOXMAAFdffTV6e3tx0UUXYdeuXTj00EOxZMkS1NbWmtf/+te/RiAQwGmnnYbe3l4cc8wxeOCBB+D389t4WUGUAXOS+gCs0SHftJqTyJA2p4wlUuiNJ9FY8h0MxmXrwMtMSoY76+AsYqXPVo9Cc1hh6b7cG09ydY7o/VKp0smpoRCmo3Eyh5k5SxEglkyV7KjtFikHx9IA4rRQTqQAgNoMLm8H14l4XQTkj8Am7OhGDMPAvHnzMG/evILXVFRUYOHChVi4cCHD0YmBqXXgbFidVKoB4vQqHQ7FepVBv+kc8YSrAy+594Rya1g5s5IOxuXzpbtoRznPofWEcieVfaJSo3bXYZXwtJqz9HYkzs85cmpYRbEhXQ5To+Jbath3cOnxQqEAH+eIjingK909XwTkj0DDNsTR+fY3P0BcTtpxqkjA/co5oVzBTblU4zkK0alRu3Mo4pmPxFPmCeUqzaHTlIxwRsvGuIJ+HwKZ1DzP++XUsApbh1FnqdEqeoSIgswRwPfZsrZE4Zl+tQvtHJURxFGumZSMUydElNbBIaPFcwO0RqxOUjLChKBONUeqzaEAI0Y7r9s5oRwQ1yPHsYNLS/lF6cYUqsCyHv5sx7CKW4cOGVwFtX+iHNxOB60YREA7R2UEUecBud/81NGrAGIiabop2zlIVdSYAOf3is4hd82R4wosEXOYYf5Czgwrf72KsxPKRQcpdo94qBAwh051kuLm0NleqryejaPT5jRw4g3tHJUR6AMaS6aQ4HjytpMGkIDAxmWO02r8I2nrkQX2DKuiQlBRqVGHm7KItJqTYycA8U1P7c+hGM2Rik6beeyE4+ddsXYMZpCiVtFNWMAcOt3feUM7R2UEa7VOhGPvHvdVMuqIeQExTptTXYjp4Cb49u5xK8jmrqNxbFj5O5NODjQGLCkZzv2zVKx0IiRbFeY4NcqVdXB2YCkNUqLci1ucVY1WCUhvxxIps/ebnSa/gJju6yqV8QPaOSorWNM2XMWNjrUOovPkNis/AgI0R06doxwHV6E5FJBWc1oVBgjSjWVYB9vMkcXBTfJ0cB2zDvwNWCSe/c62U1gKptVEd6JWidGyHktTbeOwbECUg+uMweUN7RyVEQzDyKZlROR+HRr8Ho7HhySS2XJu2xG+gI3GcfWVtXcPx3G5FWTzNGC98aSjqjBAlNbBXQECwLsCyynrwD+t5lS8DmR7ewmpdHKR6uN5vJCKOkk6poqgDwEbx9IAYlhJJyJxEdDOUZlBSPWOi35CAO9oJ/vZTqMdnuk+p9GOL9OcEhCTGnWekuE4pszm58iwKqh1EMXgOq10Eh0M2C23FsGGOHVCqIYmRWAe0MwDnQ4ZXLoueGqOnBzDRCHSadOaIw1XEFGC6lbrwHVMmYg1FPDZbiQnJNpxkScX4UyqWEJs1WfZNqxC5tBZWs1n6aUj4tmyf3yIuOfdSXQvIqBzOoeieve4TfeJ6AnlpCpMpIOr02oariDU4CuUknG1KQvRq2TulYPeHCL65DjelAWkRt3Q5tk55MmyOUtfAWKeLbeVTkKYIzfBgIAUpN1xBf0G6LGRIlh4lUr53VSFqeq08YR2jsoMIkoq3TJHPMW8TnsvAWLKwJ1WhQGiNxqnhpWfE9Kt6L3KCrLtH22RFfvzT0OqdIyP0+pMwJruE3CvbI7LMAzuz1ZOVZjDajWeaTU3cygiO6BL+TU8oVIA6+DYsFqie17l6V6cENWiMN7RoauqMCGdqD3cKxEpSAcaDN6OSCSeRCzTy0ylg2ednKtGoWJqFOA/h12WqjCnDK6IamQne6mIikOdVtPwBKGLx0X+PspJZOw0TQSIKW12IyLkrRvrjSfNcms3rAOv6h1XhlXIpkx7Lzlgjjg7bVbDavc4BRG6MVU1R06LSACY2kVe65A+75VBv/OqMIWqMwExDm57r/P0Nk9o56jMQOl8XovHS8QK8EutOT12AhBjLOiCrq9UJ5KmjqTfZ+TMTdExWU7ejnHqvu7FsIrYlOsczCFv3Zg1QPH77InXzZQMTwfXTUpGgJjX1TrkPK5OF1o2oZojRYtInMwhT2jnqMxQwZk5yqGCbUasIsrT3YhmRWw0ngwrr03ZRbm1tf9ShJM2xJVhFdB8rr3X+aYsysF1xEgGsg4ur/J0N6kPEeuww0OQwmsvdVoxCoiqCsv0i1OsuMWNg8sT2jkqM/DuR2ONWH02I1Yg2+hNRCRtFyJZBzcRK68O2W6cEGv1Dq8jFdwYCxFaBzeGtYK3YXURDISD2e2c1xx6YR1UM6yi2D+72k0gu4/Gkvz0m06PWgHAvXVFIpky9y3tHGm4Au8F7SZiBbJVdPyMhZpRmBfDyo3Od1g+DNDu65w1GFFn56oBYrore0mN8rpXbhzJ3OaUCqVGOZ/LFU+mzPPeXK1D3g6uC5YN4KffVLHPET3sHHDGwvOEdo7KDNypYBcRK2A9yJHPgu7odbGgOd8rQog5rvoqdTZlN20PgKxx5cVo0Xulkl7FbcQqbg7tj8kwss0p+QVPzoXPvNchDVAA+w0zAf7Mspt1KKL7urviFr73igYo1SE/gjbF67yhxig0bEPUgnZ6MjLvQ17d0eZ8o/tIPGWKl5VkHRyyf7xTRd4YGrUiVt5nHDo9G4+CziGvIMXNHPLuzUbHVBMO2K4KA/jvDx0u1mHA70Mgk9/mPYd1LtoxqLQ38IZ2jsoMvNNXbs+3oXqHKK+Nxks1CucF7fcZqLZ5Vhgggv1zzjoA/A1rR8SNeF3NiNWcQ866MbcMrkpGjHelk1vDynsdOu0XR8E7SDH3Uidst6C9VJWUGqCdo7IDb0E2ZR2cRBWAmsyRKCq4rsJ+VRggQjfmPPUBgHtKRsVya9eGlXObCDcNM4Fs7x5egmwV9VluDaso9s8xCx/km94eSA4uT2jnqMzA21i4ZY5UpPPpgo4lUmZTRNljAhTWHPFOMwwow6qeIBuwOt4KrUNBrEN9pcN7xbstihlounNwecwhIcRM96m4DrVzpOEaWeEzLw2Gx2hHIdbBWvnBY2P2yjrwq/xwrikAspVhPJ4tQkj2fjmg800HN5lCgkNzSjcOG8DfwaXjcp8aZT+uaCJpGkcnziTvsxfdziFvZrnDdZBCJQrsx9UVTZiBokoFCG7nkCe0c1Rm4E1vun1IwxzTarFEylyUjoSgnCs/XLMO9F7xFlwqxIb0xpNmY0JnYl5r7x724/KqV+HNhjS4fbY4zCEdk2E4E4qHLZWsPDp3e2Vw+bMhIUfv47k/0DGFAr6c4LHkmBQMfnlDO0dlBlECVcfOEcdSfjomwFkkndO5W0HmiJdeZXePO8PKU3PkVrye07lbJQeXs7FwHaRwHBcdU11F0FmD2MyeRQi4HE2jqiB7d08MgFpz6N2R5HM0TXuPdo40PIJ3JYNpWB2kPgC+UZj1QEK750yZ4wrw02Cozjp42QB5jsmJeN3nMxDy8zuaxmtKhts67HW3DrOCbHWe91wHl8ccuuuszH8duhsXz+IWr3OYIuByNI2blDtvaOeozKCqQJVnA0EvlCtPDYaK0T1gSck4dnA5sn8eIkMlI2lhImN1GC23Ywr6DVB/mIeOxivbzeNepTV2aeZIpXXodc8C1NvjeUE7R2UGUZUfjrUOHCNpL2I9EYyWehGrN+aIpwFz08dEFKPlaEwctT2plDvxOsC30sntvTIMQ4gWyumzxXMdutXYAWLWoXNNqc/i4KozhzyhnaMyA/d+Qi4j/AoF6XzAEoUp5LTxNPaxRAo9GS1Tg0MhaJb9U3MOVTL4PCsOO6MJUFmHUsxRDzVgzqqvAL69e1w7RxznkMoTgn4DVQ40doBV+6fO8877aBrNHGl4RoXlEEfWwrhEMmU2n1NpU6al6Z6YI4WoYJ6p0ZyKIsftGNSLWAGr463OuHhqjqjTXRH0mUyQXfDsN+amPw6Fkuwfx3vlVmOXOy517hXAWaLgYY/nBe0clRmslR+sF7X1nCk3tCvAiXL1oldRMArjmRo1xevhgKOKIoBvCjLLsrlhHajTpg6db3ZX5jCH2WpDZ8wfIEZz5CU1qpKOhmdblN0e9iwRUgA3c8hrL02miNn0VDtHGq5BFzTA3li4PcARUD/aUclYUCYkmSKIMTYWWRGoc8OqrqhePTqfZ2mzl3vF8/gQb+PiM4fJFPHMdqvUIBbgXYCgHvtHj1kBtHOk4QEBnwFKCLA2Ym77cgAqRzvqCVRzGxuynUNvm7J6qQ/AMoeM75WXiNVa2pxgfDTN7oyD66asOauxU+d5B/jtD5Q1Atw3ruVZyeouSFFPCgDwK0KgY6pyePgzb6gzEg1bMAyDmwevYmQIqMk6ROJJM0Xgtu1B+nP4bDROy4cB6/EhqhlWPnS+l4g1p7RZoXWoosYO4LcOvRjWsOW5Ys3+mQ6upyISVdchnzl0etwRb2jnqAzBK38/MDdlPuOikaHToxTS7+FX+bG7xz3LpqJoFuDHaNExVQb9Zid122MS4eAqFN0D3lpq8DpeiMXeACi2l3I8PsTTHCpod3hCO0dliApOhtUL6xBWPtrhs6CdHqWQHZd6G40I8borp40zne/mXvF0cAdaw0zAWsqvzhxaO3ezXodeBNnqzqF6Di5PaOeoDBHmlL/3sinzZI48NYHkpCvwuqB5UdRuz1VLj4lnabMXISjfYMD9HKro4Krab4xPmwgvTnfQn9Vv8hqXN20P2zGlu3Z76FXFqWBDxQaQgHaOyhLcUjIezrdRlnXgVAbu1bDyEoOy6CbO2lAQQtiMSyEnBBDg4HoQZLMeUzyZbS6qksH3zv7xZSXdzSGf5707lkQy5a5rt3VcKjG4PKGdozKEisaCl2GNJ1Po9rIpczIWXpuW8RJduj2w1Dom9uL1lHkau0pz6DVi5eXgsqnO5DMmAKh1IZzlld5mtQ55sSEqdfWnYwr6jZyWMHbBLY2snSMNVlAxzZBNq/Er1a1z2PEZ4Jgn95CCBPilIdmUzPNxuv0+AzUOxeuA+qlRfg6ulyaQfOawNhyA35PGTrU55MMse2H/uLFZlj3LaddugF8A7IVV5gntHJUheBt8N515aVQRS6SQYtj3xUtjSuu42BuLtIbGLevAX2Ts3rAy3/wiVLwe8LQpq0bn866EVDEF6Zpl49znSLU5ZCNeV4eRBESI6p0HTjyhnaMyBK8DQlmVxdIUiuwxAZZNWaHND+BXkcLk2AKFniuA373ybFgVrKLjLXxWTZ/lXfvHflypFLGk+9wEKWrqJLlXq7lg2XhCO0dlCF4b4G7z6An3DQQBtovHe7SjnhAU4FNVlCN89iCqT6YI4iwdXK8pSO5iXncRKw+nLZ5MoStzHIabikNeR8B4dSR5p2w9B08MHZHOSAK0p6RKzJF3fZaaThsvaOeoDFHBqVzXy0Ma8PsQyGgRWG40Xg1YBbe0mvuSWIBPJN0bT5qsnZdSftbj8p6S4TuHbiNWHg5ujsbOwxzGk8SsTGI5roHGHGW7wrN/3qtCzpuLAvxE9d4dXPXE6zyhnaMyBI+NJhJPmsbHffUO+3Ex0xQottHw0NHQTSbgM1AVcl+NArA1+Opqe7ydBM5jHVIxdm2FW+Ezn3P7vDshfNk/78wyu+fdy9EhgKWhboLtsSaqptW8rkNe0M5RGYLHcQrU2PtcHIdBwUMMOhAb9QF8HElrhYwb4TOvrs/sNmW15pCng+s1fQVwGpdLlo1bSqbHY2pU4eedELX0mzyed6s+SzeB1PAMHgeEWiMwN8dhAHwiC3bl1mpRwTwdSS+bDI/qPhVTH4CaDq7XMfl9BoJ+mt5WZ1w8dDSpFEFn1GPVKIc9y0tRBJB7rIlK65DH894Z9abP4omvrHP0+9//HmPHjkVFRQWmTJmCV199VfaQbIMHc2T2VmFiWFXalNUUgvJIyXg5sJSCRz8aVilIlqwDi4iVi4ProT8OBQ9NIqv0Fcs59Cp8BizBk0Jsd9BvwOBwrAmzFCQHjV1F0JfDeqqAr6Rz9MQTT+CKK67A9ddfj7Vr1+LII4/E8ccfj40bN8oemi1wofM9RjsAn1ObVdQ6xBIp9Mbdd+22joupLoTBHKqYKuIR3bOIWHk6uCzWoUrj4sEctTMwrDwqf73eK8MwuDq4KrHwqoqxga+oc7RgwQKcc845OPfcc7HvvvvirrvuwsiRI3H33XfLHpot8GRovKRkeBoLz43L4klm4kbKOADujlIA+FRgeS3VBbLPlkobII/nikXEysXBZeEccdkfvIlmeVRgMb1XHNgQT+yfgo63irIJnvjKOUexWAxvvvkmZsyYkfP6jBkzsHLlSkmjcgYedD4Lw1rBoZcJq005RdLlzWzG5K2iCOCTvmLj4LKvDGMlMmb7XLFgaDg4uHQOXTrdAJ9UEbtSfrXmkKfB9zKHPI4QYdX0VCU2iydsSfw7Ojocf3BdXZ3j94jA9u3bkUwmMXTo0JzXhw4dira2trzviUajiEaj5r/d3A+WUJGhAfg0xfPcm8NS2hxJJF31HekLJpsyx82PiWHlYMS8sn+0OWXQxTEyhcbEwrAy1WcxqNxRMcLnwRwxCeg4aKHYzCHbNCQhREkGt+ydo4aGBkelwYZh4MMPP8Qee+zhemC80ff7EEIKfsdbbrkFN954o4hh2QIPhob2mvBkWDk2xfNSYWEY6bLYSDzp6ftRsGUd1NpoVGSO+janVMY54uDgMmX/GI0rYena7ebwZ+uYaO8eN60m+oJtWo1lQOe9bw9rp603njSZc5VK+Vk877xg+0l/8skn0dTUVPI6Qgi+9a1veRoUTzQ3N8Pv9/djibZu3dqPTaK47rrrMHfuXPPfHR0dGDlyJNdxFkOYgzCOTRTGdlxJS6muF3FjOOBDJJ5ittGwOEWaTyRNy5rdH+DIupQ/Ek+azrL7TtTWo2lSqK3wPi5VHdxskOJ9DlkxWvS5Aryzf0DaQbI6vG7Bhu3mmFbzsg4Zj8trg9j0mLKOpEoOLi/Ymr3Ro0fjqKOOwqBBg2x96B577IFgUL0vCwChUAhTpkzB0qVL8Z3vfMd8fenSpTj55JPzviccDiMcDosaYknw7ZHjZVNmu6C9HqVAURH0IxJPMd9omDiSCrFsgKXikPEc+gygJuTu2aIObjTBfg699YRSL30FsGcd6JiqQ37XrF1f9o+lc+SN/eNXGOFNc8SW0bLeK7dODX3eaXNKFqX3LPRZvGBrt1q/fr2jD3333XddDUYU5s6di7PPPhsHHXQQDjvsMNx7773YuHEjLrjgAtlDswUe5ekqCkFZbMoAvV9xZhsg25J5tYSgrFO2LJqLAun7FU2kmD9byjm4CupVWNyroN8Hv89AMkUUm0M1Kw5Zp7DY7Fm5DC5L56hsmSMA+Pjjj7HnnnvyHIswnH766dixYwduuukmbNmyBRMmTMDf//53jB49WvbQbEFVYRxrg89q4WSNmDqsA4/8PQvDyjpVxHIO23vVGhcPB5dFkMKa0WKlC6kI+NAdSyo6h2zWISEkO4cMGC2V9qyQP6vfjMaTAAOHhgXbzQu2naO9994bw4cPx/Tp082fMWPGcBwaX1x00UW46KKLZA/DFXiUeXZGvLXhB9jrVZhtyqyjMIZCUOUiVsbPFjvniG2Er6JhTTHQ2KXHxbbikOUcpp0jlbR/bIOB7lgSKQbHYai4Z9HmlL1xdnM4IJijFStWYMWKFVi+fDkuueQSRCIRjBo1Ct/4xjdMZ2n48OE8x6qRgZUJYSWMY6lXUSkyBNiPi2W5NSsDFk1kNyw2qVG15pC108bSsLK6V9au3Uy0f6rNoYL7A2v9Jh1TyO/LKSRwCtZOG0sGtzeeZL8/eGiYyQu2V+CRRx6JI488Ej/72c8Qj8exatUqLF++HMuXL8djjz2GaDSKPffcE+vWreM5Xg1kjT1tbBgKeHOOrFVhXqpkeG003g2rehoM1rqQTktFUQ2DOVSN/VMx3cfawWV1zhTrOWSV+lDR4LOusM2m1AKeglbWe6l1XF6QHhc7/eaASKtZEQwGcdRRR+Hggw/GYYcdhn/84x+477778PHHH7Men0YeVDBubNhpOQ5DpeND2BlW1gafQeojY/ziSYJkirjutJ0dk/eu3QD740NUZY5UdHBZVe6o6IQAlnWoUPDE+jBVdlIARdchwz5ohBCzTUTZO0eRSAQrV67EsmXLsHz5cqxZswZjx47FtGnTcPfdd2PatGm8xqlhgVUYx6KxIV04VR6rwlgf88AqqqhgbCzYpCCtlR9JVIe9RXQshLyAuuwfL+bIm2iWrYPLIl0LcJhDBpVOANvgKZUiSmqOWK9D5RxchverK5pAMuWtMSVP2N6Rp02bhjVr1mDcuHE46qijcOmll2LatGkFGydq8APrxoYsumMDZRDtKDSuCkvaJJpIodpjGy3WlX3MnRBWxoJBxMrMsDJ3cNlE0azn0GwQ61EXwrIFSVcsYQqfWR21wkK/2cGgsAXgV9zCTr/pfVymPivgY9L3ijVs0wQrV65Ec3Mzpk+fjmOOOQbf+MY3tGMkESyrd7IRq8d8NKceOexK+b2Py3qUgpdx+XwGQn52RoxFd2yAvZiXGfvHcFO2GlaWDq5XZFkHRnOomGFluQ4pm+XVsNI5TBEgkfJ+MPVArs4E2LLwKleqAQ6co927d+Pee+9FVVUVfvWrX2H48OGYOHEiLrnkEjz55JPYtm0bz3Fq9AFLDQbr1MdAZo5yjlLwasQYRvjs6Hw1I1aWfV9YGVb2Di5jvYpCPXIAq4Cd3b1itWcBrNeh171BzcIIlnvpgHGOqqurcdxxx+HWW2/F6tWrsX37dtx2222oqqrCbbfdhhEjRmDChAk8x6phAUvqfKDnyXks6JpwAAGPB6CyjPBZ0+bKRawc6HwWmzJLB5c568DasDLbH9SZw77n9nkFc20Ps3XIOGXLkCkte+eoL6qrq9HU1ISmpiY0NjYiEAjggw8+YDk2jSKghpUJnc8qYmU4JoBtZ16AEZ3PcEGzjPBZz6FyzBFDVpLlpszSwWXO/inn4LIP6LyOieo3mY2LsaiexZisXbvZOd7qBAO8YJv7S6VSeOONN7B8+XIsW7YM//znP9Hd3W12zf7d736H6dOn8xyrhgUsNxoVNz9AzSaQtO1BrUfaHGAbSbMyrCr2EwL4pEa9pj4A1g4uY90Yg3uVTBGzh5Z3NoSdno3tHLI7t49ZcQvDgC4STyGWTH8Oq5YaLMZFnysWeykP2B5VQ0MDuru7MWzYMBx99NFYsGABpk+fjnHjxvEcn0YBsMxJZxe0OkJQlpsySyfEPGaFwSnSLCP8bKUTG1E9i83P2rWbXQkxizmkDi6LOVQvVcRS+GztgcauHQNLw8pmHbI6t0/FAgT6XPl9Bmo8VlSyDIAHjHN0++23Y/r06dh77715jkfDJnjoaFgKQb2WxbLclNku6IzmiMGCNlOjLBxcxmJels+VYXjfAFmW8rPclNk6uKyaQLLfGyqDfs/NZlmW8nNZhwpV/rJsxprVjHnr2g2wZuHT67AmXOZptfPPP5/nODQcIsyQdmVlWFkea8JyU2bZnJKHYWVSgaWgmJca+9pwAD6PDRJZbsq0FQML1iHr4KqoV1GHzQIYt2Pg4eAyvF8qNWNlOocMGdyuKDuJAg/YsjqnnnoqOjo6bH/oWWedha1bt7oelEZpMNVgMD62APAeSZupPo8RGKAuFcwyku5gxP7ROYwlU2b3Wrdgeagky02ZrW5MPbE/S4GxqgUIbNPbDJkjBTV2bKsz2TNHZe0c/fWvf8W2bdvQ0dFR8qe9vR3PPvssurq6eI/9Kw2Wh6my3JQpa+t18XSaUQULw8ouumdJBfOI8FlFrAAQ82jwOzgYMKbMkUf9BcDawWXVqT7LOhDizcHtZCQSt46LiYMbzbbU8ApWFZqJZArdsfRzoFJ6m4vGjkEwkGVw1XSObI2KEKK1RoqBaaUTow2Q5bEmXaYTotamzJIKDjNqbMjyAMfcvi9JVIbcN0nsjrKfQzZpZJYpGTbPViyRQm+cGlY2olkgfb+8NLrsYjqH7JkjJuuQkSPCtEEsQykASyeEaTsGOoflrDlatmyZ4w8ePny44/do2AcrwwqwS6sBaWMRiac8j4vLglZuU2ZjWHtiSTMF5tWwBvw+BHwGEini+X7x0YUwZP+YaI5YGdZsAYLXCD9sPdYk7tE5Yniv2Aqy2TltrKps6T5aHfJ7bhBLn/dkiiCRTHn6PJb3im0pPztRPQ/YGtW0adN4j0PDIVgJZyPxpPmgs9CGsCq5Zhux8hDzqmPwaUot4DNQyeAAx4qgH13RhHf2T1HmqIuh5ijMaFxW8brfo3g96DfgM9KFEekgxf26ZjmHLEv5WYrqWTFarKp+02PKruNIIoUaD86ROYdMmVIGe+lA0BxpqAdWhpVGrIYB1IRYGjE2zBFbOp9hSkYhzZG1yslrqW56XGyYNhqxej2tHmArMuZSys/IwWVhWA3DYPZsZdchA6ebQym/SqlRcx0yZCQB7/fLdEJY7qUM1yGL+8UD2jkqU7Dy4KkItIZBuTXATtyYpfNZ0uaq9VdhE7GyrvpglWZQNWLtVNDBZT2HrPpCsSxACDMaE8A4vc3I8WbJhBiGYbYw8TwuhuuQ1d6QSGY1diwCYB7QzlGZglWfI5aVOwA7cSPTiiKLAfNavcNWR8PWCalmwPwBDOeQZcTKsPs6y9QoqwNCqXidBcsGMDT4TB1cNmm1ZIqgJ1MVxrYCy2uFLds5ZHWESJb9U6erPx0ToK7myJFzRAjBZ599ht7eXl7j0bAJVv0mWG/KKjJHfat3vIBpfxXGhpVVBMZKdNkVY58ajWS6r7tFMkUY68bYaP+6WK9DRlqobi5BChunG2Ccdvc4h8zXIeP7pRKDS/fRiqAPQY/idV5w7Bzttdde+Pzzz3mNR8MmmLMOjJkjz6kihuPqW73jFnHGVDCrE66zDq53XQjATkfDstKJBgOEwDxE0w26Y2wjVvYOLps5ZJ0qYmlYPYvXM6ntcMDnuXs+YA0G1FqHrATsbFl4NmNieTYeLzh6snw+H/baay/s2LGD13g0bEJZ1oGR08ZyXLR6B/B2v7oZU8FhRkLxrmj6O7FLyTCKWDmI6gFv94tuyqGAL8dpdj8uRg5uJk3ELjXKSAvFcg5p9/VECikP3ddZVqoBLJ0QtuuQVfNaPpojr8yR2keHAC40R7fddht+8pOf4N133+UxHg2bYLX5sXaOWGsdWIkbWdDBrKlgVtU77B1cRk4bQ31WyM+m+7q5KTPX2KnF4FYwW4fsChCs5eksHFzm4nXl1iEbpo1pnyNG3ddZBk684Hhk3/ve99DT04NJkyYhFAqhsrIy5/c7d+5kNjiNwqhgVOnEPNphtKC7GFbJAOlx9cSSnowYS2EjHROgnoPLig1huQEahoGKgB+98aSn1Gg3wygaYJ+SUc2wshTVs+q+3s1Qywaw09gx128yK25heNQKo+7rlCkdUM7RXXfdxWEYGk7BSgjKWuvAakGzpPMBNpE0c10I48o+1g6ud10B2w64FUEfeuNJj3OYfm8Vo/SVqto/doaVnTPJqvs6XYdVHo62sULVdZg9QsT9uBLJlPlssixAALx1X8/O4QByjmbPns1jHBoOwaySQcEFDbDvnsriftFoh9WCDjOOWFVKjRJC2LeJCPgBxD05Iqo6uOwF2d6f92giiXiSZMbFbh12RROe5rBHUY0dZbRYPe8squhoMACwuV8BX7b7eiSRRL3L7uusxes84Eo48cknn+BnP/sZzjzzTGzduhUA8MILL+C9995jOjiNwmAVGfKigr0s6GSKMG8QxuKYB17aHu8Ornqp0Ug8Baq5ZckcAR5F9ZwcXO+FEazn0LtuzFoyz0oozuKZ58eyqSXIZtGupTOTUmOlk2Sl36R9qljdKx5wfLdWrFiBiRMnYvXq1Vi8eDG6uroAAG+//TZuuOEG5gPUyA9mrAO3/L33zQ9QK81gUsHMUpCse1Wpw4bQTdlngMl5bwAj9o+XeF25tJp33Vi2uaifSfd8gA1L0xPLjosFWB15xLylhul4q6OTBNikkrujbOeQBxw7R9deey1++ctfYunSpQiFQubr06dPx6pVq5gOTqMw6KacyJza7Ba8WAcWCyfkZ9PHBGCz0fQwLrfOduZVy8FlwYZ0Wc5VY3HeG8CmQpPeK1Z6FdYOLruUjPdni+XZeBRMGC0F9yyAQ3qbBcsWYZuuBRjpN2Pqa44cW5533nkH3/nOd/q9PnjwYN3/SCD6ntrsFvSEcpU0GGZkyHJBM6Xz2TbqizEqi1UpNcrakQTYiuqZG1bFKp1Y6MZ6OFQUsUnJsGUdWJ1xyL4dAwMpAIf0FRsGV/1qNcfOUUNDA7Zs2dLv9bVr12L48OFMBqVRGqxObWaudWCxoBlXFAGWNCSDTZl1pROgmBaKAcvGOgUJsNFCZZ939g4ui8aG7NNqDFg2DnPojVnO7A8KMUeEECU1iT2Mz10E2Oo3WT5brOHYOZo1axauueYatLW1wTAMpFIp/POf/8RVV12F73//+zzGqJEH1lObvVHU6lHBrFMfABvRJetop0JVB5dFdB/nwBwxZCV5OLhujzUhhDDv+8LiQNxexuJ1gA1Lw62IxMOYrAUI7KvovDNHbB1cdqwky/2BNRw7RzfffDNGjRqF4cOHo6urC/vttx+OOuooHH744fjZz37GY4waBcAy98tcr+JhTOamrBwVzDbaoX1f0uPyYlj5pPu8RazUsPJgHdSh81k4uNFECsmMZWUnqmf3vLMUzbJpqcFYkJ3Zs+JJYs6DU1iLSKqYFSDQ9DaLYICl5oidUFzlajXHIwsGg3jkkUdw0003Ye3atUilUjjggAOw11578RifRhFUBP3oiCQU02AwYGioc8RokwGs2hB1HEkg7YgkYknXUWtPLAkqV2LfIVsd4TPASoPBdlw5jQ1d3q+c6kxWjFbA+zrs4cAcsWFw2bJ/lO0G0k6bm72wm0NlH5M9i4dEgaWuVOFqNcd37KOPPsJee+2FcePGYdy4cTzGpGETXnPl1iZv7HvkMMiTM6SCWZyBxWOjqQj60e3hWBO6KbMtmfeeZugxWTa1NmXWuhAg6+C6HZe14zNrw+opfcWTdVBIKF5hOYDYrXPEgwlhUxjBgf1joN9krRvjAcdptfHjx2P48OGYNWsW/vCHP2DdunU8xqVhA17z9z3W7qnMS5sZMEdMK50GZprBeq+Ylcwz1DqodK8APpuyV6E4L6cb8MgcMdayAWzaMXQxTm/7fAZCfm/6TR5NDVm01ODzvLPIDrBvMcAajp2jLVu24I477kBdXR1+/etfY99998WwYcNwxhln4J577uExRo0C8Jr+oKLZUMCHAIPuqQAbwWUvl1J+NctivbIhNDJ0e4hnPrDoRM1a+AywSRWx1qsA3p223jh7hoaFboxnYYQnVpJDiwFm65CpFMD7806fLZWed8CqSRxAzNHQoUNx5pln4p577sF//vMffPjhh5g5cyaeeuopXHzxxTzGqFEAXqsGeqI8Nj8WepX096kMqlXpxOM8IK+dzrMVRWrNYTaSZpkaZcccqeXg8pvDmIdgoJdrjxwGzBFTZ9LbuHiswzCL1Gjmea/kwEq63bNiiZRZ2alytZrjkXV1deG1117D8uXLsWLFCrz11lvYd999cemll2LatGk8xqhRAF4Fez1chM8MWAcOTgiTNEOMn67Au2HlMCZPc8gxVcSgvwrTvi8eq3foHHJh/xgctMyUDfGYKoonU6bDx6NNhJfCCIDxHDJIb/PQHLFi2QC1+xw5froaGxvR1NSEs88+Gz/72c9wxBFHoL6+nsfYNErATGG5TatxKJkP9ymL9bsQmHLRHDGg87s4GFavZbE8SnVZtGPgmpJxOS7rgcY8uq+7HRdP9s/TcTlcghQ2wQCgFqPFo68XmwIEDpojjw4u3d9DATaH4fKC45GdcMIJSCaTeOihh/DnP/8Zjz76KD744AMeY9MoAa9pBi49MPqUxboBF4rao8FPWkq1+VSkqJOSCQez4lS3x5rwOT6EjSMJMJ5DRswRj2aLqp1/5TWgo8xf0G8wO3cR8M6W9nKt7FOLOfLqSJbDobOAC+fomWeewfbt27F06VIcccQReOmll3D00UejpaUFZ5xxBo8xahQAq02ZB20OeKjeUbBDdg4VzMNpU2kOM59FiPuuzzyPD/HKOviM3ON3vI+LTZqBi26MxUHLCs4hy+cd8H68UFbbo5Z4nQcL79Xx5hEM8IDr0e2///5IJpOIx+OIRqN44YUXsHjxYpZj0ygBr5syD8ElLYuNJVMehOIchKAemSPehlWplExO35eUaTgcjSvOI1XE6l6xa3sAeDesXATZmTElUwTxZMpV+qKHS2GEt5RMJM7HsFZY2FI34PO8MyiMUFC/2ctBn8UDjlfMr3/9a5x88sloamrCIYccgsceewzjx4/H008/je3bt/MYo0YBeK106uZQBg54jyx4MEdhj5syL8PKKpJmqSkI+g3Qr+g+kuaRkvG4KWe+SwVj1sGrYeXhhPTt+uwGfDVH3uaQ9Z7lPXiieyl7hiaWTLk+1qSHZ5Di0cFlzf6xhuOZfOSRR3D00UfjvPPOw1FHHYW6ujoe49KwAWaVTqwp6qAfndEEg/J0dRqX0XvF3rB6c3DNlAzDcRmGgYqAH73xpPemeApV0WUNK1sRqOc+Rxz6eoVzznxLobbC+WdwScl4LE/v5bwOve4PPLQ9QPp+uZkHrlWjrvt6DVDn6I033uAxDg0XYEVvsj78z6vTxkdzpF6jPoBl/p49G9IbZ3AkhkJ6lQgnvQorw8qSDTEMA+GAD9FEykN5OgfmiBH7Vxlk6+B6XYc8Kw6BdGqtKuTs/bz6CXlOQVIHd6Cl1QBg9+7duPPOO3HuuefivPPOw4IFC9De3s56bCY2bNiAc845B2PHjkVlZSXGjRuHG264AbFYLOe6jRs34qSTTkJ1dTWam5tx2WWX9bvmnXfewbRp01BZWYnhw4fjpptucl2RIxteNRi80mqejQUPzZFnhoaPE+L1OIWsYWXt4LIZl0qiel4Rq2cHl6Y+FHLaYomUee4iHwbXY0qG0zr0nBpleK/8PgNBfzq/7YYtpU5Ielw8HFyvzJG6ZfyAS+Zo5syZqKysxCGHHAJCCH79619j/vz5WLJkCQ488EDmg/zPf/6DVCqFP/zhD9hzzz3x7rvv4rzzzkN3dzfuuOMOAEAymcQJJ5yAwYMH47XXXsOOHTswe/ZsEEKwcOFCAEBHRweOPfZYTJ8+HWvWrMGHH36IOXPmoLq6GldeeSXzcfMGs+7KvIyFiwVNCOF04GUmf59IIZUijg/45BHdAwxE9XH20T3gbQ5jiRQSKfaG1Ws7Bl6aI6+GlUcaGfDmtPGqzmQm5uWkG1Op4hBIP/PxZMLV/aL7aMjvY9r2wGtAN2A1Rz/+8Y/x7W9/G/fddx8CgfTbE4kEzj33XFxxxRV45ZVXmA/yuOOOw3HHHWf+e4899sC6detw9913m87RkiVL8P7772PTpk1obW0FANx5552YM2cObr75ZtTV1eGRRx5BJBLBAw88gHA4jAkTJuDDDz/EggULMHfuXKZCWxFgpTnixRy5qbKIJVOg2kOWRiw3f59y/J0jHISNgOWEa4+HlvJKFbmZQ2vEyqs8nRDieL3yqpLxnEaO8mVw3aTV6N4Q9BtMG/Vl+xyp5eCqyJQC6WerK+rWwaX3irXGTk32jzUc37U33ngD11xzjekYAUAgEMDVV18tVI/U3t6OpqYm89+rVq3ChAkTTMcIAGbOnIloNIo333zTvGbatGkIh8M512zevBkbNmwo+Lei0Sg6OjpyflSA9+ND2B+HAXirZojEspsTj4M4AW8bDcuKIsB7F1xurIMHfQ81YKwNq3WTd+NM8opYvfYb49G1G7Cm3V04uLzuldeqUd6pUQbVrCzhJTvAq+0BKwbXTYsQkXC8c9XV1WHjxo39Xt+0aRNqa2uZDKoUPvnkEyxcuBAXXHCB+VpbWxuGDh2ac11jYyNCoRDa2toKXkP/Ta/Jh1tuuQX19fXmz8iRI1l9FU/wWtrMTUfjYfHQhRPwsTWsAb8PAZ/7/D03ls1rE0jeQnE3WgfO0T2glsFndfAsa8fbiyPCj2VLfx49XsgpIgqy3QBf5gjwtpdyY0pdp5HT7xtwzNHpp5+Oc845B0888QQ2bdqEzz//HI8//jjOPfdcnHnmmY4+a968eTAMo+hPXzZq8+bNOO644/Dd734X5557bs7v8tHsfen3vtdQMXYxiv66665De3u7+bNp0yZH35MXmB2WqFDfF55lnl6o814OJfO5Y1IzNeruXvGZw6DfZ57V587gp78L6yoZr6lRHpVOgFVzpBDL5rH/Er8+R96Yox5uPeM8BJqcqzOpftPxuAaq5uiOO+6AYRj4/ve/j0Qic85NMIgLL7wQt956q6PPuuSSS0oeOTJmzBjz/zdv3ozp06fjsMMOw7333ptzXUtLC1avXp3z2q5duxCPx012qKWlpR9DtHXrVgDoxyhZEQ6Hc1JxqsBzUzxepfwMFjSPMk8W+XteUZhXw8qyVBfIGgs3jjcvAwakDX5PzF2LAe6pIsXEvF40R9zYv5zu60nHew/vOfSqhWK+Dj1UaPIOnABv+s0B5xyFQiH893//N2655RZ88sknIIRgzz33RFVVleM/3tzcjObmZlvXfvHFF5g+fTqmTJmCRYsWwefLJb0OO+ww3HzzzdiyZQuGDRsGIC3SDofDmDJlinnNT3/6U8RiMYRCIfOa1tbWHCesXMCqnxCvslhXrAPHheMlCuOdgvTaiVol5ojn5lcR9GecI3XGxerwYH6sgwf2j/GYrMcLuWKWaUqGW2rUW9sDlUT1/DR2Vu1f0vF3HnB9jnp6enDxxRdj+PDhGDJkCM4991wMGzYM+++/vyvHyAk2b96Mo48+GiNHjsQdd9yBbdu2oa2tLYcFmjFjBvbbbz+cffbZWLt2LV566SVcddVVOO+888wu3rNmzUI4HMacOXPw7rvv4umnn8b8+fPLslINYFcWq1JjQ76G1XuaQSVNAcDnTCfA2xzy6mIMWNIfXtIMCjkhyRQxnQR+rIM6LBvgTaPFq9Ipmxp1/1wBHNk/D4Em63WYo99ULABmCdur8YYbbsADDzyAs846CxUVFXjsscdw4YUX4i9/+QvP8QFIszsff/wxPv74Y4wYMSLnd1Qz5Pf78fzzz+Oiiy7C1KlTUVlZiVmzZpml/gBQX1+PpUuX4uKLL8ZBBx2ExsZGzJ07F3PnzuX+HXjAS1QBWI8P4SMEdRcZ8kyruReo8j4+xM0mk0haIlaF0gxidGMKpYo8aP96Ld9DJaeNN/vXGXHXu0fFUn5eRSSAx8IIjge8VgT96IomlHO8WcK2VVy8eDHuv/9+UyP0ve99D1OnTkUymYTfz/dLzpkzB3PmzCl53ahRo/Dcc88VvWbixIlcejHJQLZniPMFTQjhX83gaeGw757qJQrr4VSqq6phZSKq56E5Mh1cdSJWFuJ1w8htN8FmXB6eLY5BChODr1DFIc/nnQVzxGcvzeg3vaT7GJ9xyBq2R7dp0yYceeSR5r8POeQQBAIBbN68mcvANErDrBpwcWqz1eipGLFyScl4ckT4dcAFvEWsfAyre4ZGRGrUFaPFu9zaoy6EdWrfGxvCR9sDsGH/2Pc5YtD2gKsUQK11yELPxmOPZwnbO2oymTRFzBSBQMCsWNMQj9ymeM4WjzVPXsEpYvVqLFjDSxUdN9Gs5V45PeMvYhGnsjasXsrA+WqOvDNHzI8P8fBciQgGVHJCAG/NKblpjhg0zOQxhyycNi7sn6LPFkvYzhEQQjBnzpyckvZIJIILLrgA1dXV5muLFy9mO0KNgrB2GHV6ajN9QEN+HwKM8+RsqGCeEat7g89LcElImgF00jWWbph8DCuLMnA+dD6gmCDbkoJ0eqyJiOpMT5VOPFJFDIIUfpoj52OK8pxDD0UkXPdSBgGB6k0gbTtHs2fP7vfa9773PaaD0XAGempzPEkcRxYiDJg7rQOfRn2AxwoszmerAWnj6sQ54knnq96OwU1ajV8pv3sHN8uycVyHqrF/Xjp3cz/WxANzxNGR9NRvTLHKX577FkvYdo4WLVrEcxwaLlHh8tRmnnQ+i+NDVDP4vCLWoN+AYaQNaySeRF1F0PZ7uTq4HkSzvI54ADxuypzPVgPS43LkHAkQ86rkhAAe02rc2jGkx0S7Pvt8btg/fkUknioOeQrFHT5bOYVAijtHasvFNUrC7QGhfBeO+0onIX2OPOTvWVerGYaRjQ4dboBCqsIUKpm3fqa3qiK22x51cAHnjJYZpHA4hNOTboyjwWfxbPFijoA0++doTIoKskWwf073rFgyBVo7NGCaQGqoCbeOCK9OswCb40O4RtIKpdUA9xtglKNhzR4fomilkxeBKuNx5Ti4Du8XdVxUe965sn8uRfXxZAqJFKe+XpaiFMeBZuZ78GXh1WFKAfeBpvV7aOZIgyvc6mi4Vlgw0KtwrXRyOK64pVUCF0fEZdNMISkZhY6eANwLVFOWTtQqRfgiKp289Krisz94u1cAUMGY/fPS9TkigDlypzlSLwCm1/s5NMxkDbVHp1ESbqNDvqJZNcs83fbI4bkpAx4c3BjPiNV9PyEV2zFYI1yVnEllUzJC5tCdE+Iz0lW2rOE50FSsCSRP9s9tkFIuYmxAO0dlD7ebMl/RrPuIlWf3VLfj4r0puzasX7FjOqyf6TyNbHFweep7FKoa9VQYIURU7z6g43EWpmcGV6H0FSCo/5JCTClraOeozOGWdhVT5qkY66Dophw2N2WXYl6eR614OB9PRcMaDvgcVSLZH5e7CJ9njxwWBy3zdLxd71mchLyuWXiO7RhYVP7y0Ul6DOgUPzoE0M5R2SPssdKJt9bBaddn04gpJOblvim7rCpS0ZG0vkelRp68G8+5rcASkpJRTHPk1mnjfeyEWy0UdfL4ao7U6ifkWpCt02oaouC+aoBn+sp6rIk6OWm3lR/0eif9a5zAtWHlejiou4oiQIyezflxOfzEqYD7vlAiUqNezqFTqUcO7/44bp95nk6bW+aI58HigHumtFx6HAHaOSp7uBWompEhx+orwPniiXCssHBdJcPRUACqGtb0mJIpgrjTvi8CdGMqFSAA7is0RYjq3Z1xKKLSSS32z2vBhkpC/3iSZCtsucyhV42ddo40OCPs0oPnKcgO+n3w07JYhVJYXstPubEObucwzs+w5ji4CkXSrlMynDflCpeMlogUpNVQ2kEimTIbIaoVpPB73gH3/ZdoyTzfRp7uK2xVYiV5B5osoZ2jMofbtBpvY+G+PF09gSpv1sFzapQj62D9O3bAvZ+QW6aUN/vnVQvF8XkHnDltVueASxm4R7ab+zpU6rQBd/rN3H5CPIpI1NNJsoZ2jsocbnU0PBuEAe7EoNY8uUonzfPU9gBe5pDfRmMYBkIuHFze/YTM9JVCjiTAoAkkRycEcPZsWdseWJ1kVlA1SHF7qLE4B9f5HHJre6Cog8sS2jkqc7jelEXpaByMK8o5YnUd3SeoPovPcnGtdeDstLk5QoR3PyG3h5byZ0pdphni/J4tK2vgyMEV1E/IdaUTb82RUmlkd/pN7mlkt5W/NDWq02oavOG6saGCAtVcw8ozYlXMkXQ7h9ydNufRoah+QurNoTfDyi9Icf5sieonpJqD61Xsz6PPUcBngC4jJ44I735Crjtka+ZIQxTcMDSAmpojOqaQ34cAj07UGUORSBEkHFRgiRJkq2fwnTu4/CuK3Ipm6Ryq40gC4KrPAty1ieB9xAOLZqw8oGIPLcMwXDmTvPsJuX3eteZIQxjclxCrx4bw7PhsHRPgLpJWyZG0Xs9Pg+E83Seqn1AskULKQQWWOAdXnZRM+nPdBync1qHLA3GzexYnNsT1OhSj33TFHHGu7FONKWUJ7RyVOdweHyJKR+NuU+Zr7AGnGgy+JcSuHVxBaQZXKRnO9wpwNq4ec1MOMB8TwOJsNd6Ot3ppNeWCAY9FJNwbjCq0l3ouQNDMkQZvVLg8PoS3uNFNuS7vlIzPZ6nAUsjgu++Rw7nvi4IOboVLB1eU0+a6YzB3BtfBOhSUVnOa3lbR4Ft7SPE48sj6uW70m6rpxnhnB1hC/RFqFIXn88I4bzTOKp340tOAO+o8wpnO936II2cH1wmdz3lTDvh9CLhoMMp9Dl0wR6kUQYyz5sjNsyWKkQQcBimCxOtuAidAQHrbyfMuKOUeS6YcNRjVgmwNYfDaQVWlyg8RlKuXcfHeaJwY1qQQw+o8JSNCcOnF4KskUM3pCaWQYeV9r0J+Vdk/F+1HODdbBNR+3gG1nDaW0M5RmcMN5ZpKkayIUMUSYq6G1b0Gg78j6dwJAUSkilRzcNVL97nS9nButgi4DAY4MzQ56W2X/Zd4wOuexaMnFODyeefcTyiH/XOzl2pBtgZvuBFk5zRbVCgK462DAqwaLeebMn/hs/MxARwNq5s0g4A5DLsxYgpWZ/LuCZUel/P0thD2z4NQnLfBV6myD3Cn36TjquI0h24bjPJuE8ES2jkqc3ihXK3vZw0VK50At2WxYtJXbjrg8jSsbhxc3v2EAHeRtLjDg9UpQADcHfOgbHqbs2F117pCHFPqLBhIAFDv2eLd9oAltHNU5vDUbDHgg59XxKpg+Wn6s13oaL6ClX2AdfNTjHVQUDfmzmETUIDgJo0c45tyB9z2QVNXvK7q885zL3XT+oB3EQlLaOeozOHm1GYR1KanzrycKooAdyksFUuIRVT2uRsXf02Bpwos7pV96mjZAG8pGRHPlhs9G/8jYJwIsgU4kq60UGrvD5o50uAON12fRfSa8HT0hBBjoU506CqKTvA3rJUeHEkR7RgcjYt35243xl5ASoYabdXWoav0trAjMVw4uBwOWabIzqE6onrA+f2yNszUTSA1uMPaFM+uZkXE5kc/u9dNqkixaIf7sSYuznwTaVitVVWloGqaQdjxIa40dvy2YTfrUAj75zBIEWFY3bTUEMmUOlmHYgJNZ/crpxBIp9U0eCPgz+qG7D6kIrx3mhpzdaK7Yj1yeOt7whbjaNe4ihE+e3BwuRoLZzqanCMeuKXV0mNKpgjiNh1cEfeq0oUjKYT9cxikiDCs3rRsijm4AkX1dtlSq3PH69gqllB/hBol4VT8LIJyrXQR7YjIkzsVsMeTKcSThOu43Jz5JtKw9rro3cN1U3aoo7Ee8SCk67PDOeSZkqlQlP1zmt4WYVjDlqowu/pNISx8JtB0w/6pFKSYhUB+HwJ+9V0P9UeoURJO2RCRqQ/1FrQzrYPV0PEyrIZhWHQ0DnVjIrQOqhlWl887IMbBtTuHIlIyntLbXAsjHAZ0AgwrXd+EpI/FsAPePdAAd+yfmF5VzsYloicUS5THKDWKwmkFltYc2ddn0fEbBr9mi+lxOdxoFDWsIqtknD7vPI94sDq49o0F/3vlSXOkkCBbTLNFK4PrbH8Qca9UY//c7lnloDcCtHM0IOD06AIhhtUD66BSSoY6URUBfscDAM7TfWKcEBcRq4JVMtYqJzFzqFBhhAftn0rH+IgwrCG/D/TxsK+j4V/KbxZGuGp7wNGZdNicspzOVQO0czQg4LSnkPoRq0IMjaCmZSqmRr1sylznMOCWdRA1hw41RyJE9S4qnUQEKSqx3YZhOO4pJGQdetD+hXnq2RzuWfS6cijjB7RzNCDgNH8vso+Jm7RaVSjAZUyAh4iVu2F1liqKCjCs3iqdRMyhUweX73bntF+VWMPqPEipEtEhW6H0VfrzHVbRiVyHNh3cVIqYzyDXOVQ0SGEF7RwNADiNdkRErNbmc6mUzc7dAsW8dp0QUSJCt8ZCiGF1wjoIOXjWmW4sItrBVUk35rCBYE7bA4X6jYnSqziuohNxrxwyuFZnhes6dBukaOdIQxRcR9ICDCvgIpIWcHyIU10I72jHseZIRPM5Swmx7aNpVBSCCtqUwy4jaZUc3FgyBRrL8Hy2nB5rImoOzb1UITbEKfuX2/ZAhH7TYZCiBdkaouD0XCeRXV0BBxEPbQLJdUE72/xEiQhVTsmkbJY2x5MpJFJ8e0IB7iud+OvGnAqy+WswrIbVjoMbiVmaLSokyBa+DhUSijtNq5nNdAM++DgdLA64YEo1c6QhGio+pH6fgVDAfvOyVIpkT91WqdJJkGF1GkmLMKw5jQ1jpe+XdZ4rhPTIUU03pp7ImAZAdh1cOocBn4Egx0Z9YacOroCADnBe3EIDUpUKI0Q0iAW8tGPQzpGGIDhlHURFYU4o/ZzjAQR0yHZaqquaEFTEHAb9PrMvkJ2NmUa2PiNdFs0Lzqsz1dariGCOAGcOrihHUqUKW8D5eWERgT2hEjaPpuF9yHJ2XA57xpksW3m4HeUxSo2iULU83Um1Uw7r8JXWq6hjWK2fb8c5st4rnv2EHJdbCzBggAuBqoCUTNDvQ8Bn38EVxdBUOO3NJtxpU2cdWr+z03XIE25PG9BpNQ1hcCvm5antAZzRwebxAIHsQbo84PT0dBGVfdbPdxqF8R6XE/ZPvLZHLQfXsUA1Y1R4H8LpRNAr2rA6ZrsFOW0qVbMG/Ub2cHEH65B/EYl6lX0soZ2jAQCnPYUoRc2zBwbgrAGd6H5CKqWvAOdzKKInFODQwRXE0KjYMBNw3o1aVPWOk8NnxQufHWqORK1Dm+JnOoc816FhGM4cXFHPlUumlDcryQpl5xxFo1FMnjwZhmHgrbfeyvndxo0bcdJJJ6G6uhrNzc247LLLEIvFcq555513MG3aNFRWVmL48OG46aabbJcpqwrTgNnQFADiorDKoH1BtuhNOWKzekfUgq5y2I9GmMF3kRoVpQuxa1hFOSHUQNp1cHtMB1eQ9k+ltJqi7J+q69BJ8CRqL1W1HQMr8A07OeDqq69Ga2sr/u///i/n9WQyiRNOOAGDBw/Ga6+9hh07dmD27NkghGDhwoUAgI6ODhx77LGYPn061qxZgw8//BBz5sxBdXU1rrzyShlfhwmqzOg+Yev6nlj6Ov6RtAvDyp02z1bvxJMEoUDxFJ7ozY/OTSmI7vrsiHX4ilbJOJ5DQWyIOweX73PlVmPHe1zZOSx9r0S1rgCy69xJeltcEYlahUCsUFbO0f/+7/9iyZIleOqpp/C///u/Ob9bsmQJ3n//fWzatAmtra0AgDvvvBNz5szBzTffjLq6OjzyyCOIRCJ44IEHEA6HMWHCBHz44YdYsGAB5s6dy1VEyhNOG72Jol2djCvb44jzpmzZXKOJpNluoBBER6x2NmVAvGG1F7GKquxLf348SZBMkZIaNVGVTk7m0HrEA3fH20FaTXizReXYP/tzaL1G2F6qVFqN6sbUKgRihbJJq3355Zc477zz8NBDD6Gqqqrf71etWoUJEyaYjhEAzJw5E9FoFG+++aZ5zbRp0xAOh3Ou2bx5MzZs2FDwb0ejUXR0dOT8qIRKh4Y1IshYOKp0EnY8QPbkbTsRT1SQwXdC5ydzzk5ST3MkyrACNtkQwYbVzphEHfEAuExvCzto2WZ6WxAb4mgOM9f4fYbZ8oIXVGT/HGv/BAV0rFAWzhEhBHPmzMEFF1yAgw46KO81bW1tGDp0aM5rjY2NCIVCaGtrK3gN/Te9Jh9uueUW1NfXmz8jR4708nWYo8qBAUskU2YzOFFaBzuLR1TEahiGo+o+8Wk1+5syoFaEL7oqDHBmxFSaQ+s1PI94AFxqjgTNIU1vlxyXgnNoDQZ4Zx2y6e3Se6m4591pZZ+YoJwVpDpH8+bNg2EYRX/eeOMNLFy4EB0dHbjuuuuKfl6+B5QQkvN632to1FLs4b7uuuvQ3t5u/mzatMnJ1+QOegK6rQUtqJ8Q4Ix1EJmPdkIHixNku5tD3mlIN5oj3u0FfD7DbDJpR7MimnVwYlgrgnyPeABcav8E9YQC7GnHxLF/ztehCCbEVdWoIP0mTW+XQlQQK8kKUjVHl1xyCc4444yi14wZMwa//OUv8frrr+ekwwDgoIMOwllnnYUHH3wQLS0tWL16dc7vd+3ahXg8brJDLS0t/RiirVu3AkA/RsmKcDjc72+rhCoXmgLD4G9YHVHBAss8ww4a0JkbIOd75WgORRpWBVOjQNq4xpIpWxVrSqbVJAQDKmmOaHqbkEzquqL49aLul5M5FFUUAajdqwpI36/qcHF3IruXaueoJJqbm9Hc3Fzyut/85jf45S9/af578+bNmDlzJp544gkceuihAIDDDjsMN998M7Zs2YJhw4YBSIu0w+EwpkyZYl7z05/+FLFYDKFQyLymtbUVY8aMYfztxMFNVFEllAq2s6DFUa5OumSb90shbY9Iw+pmUxYRSVcE/eiMJGw5uCqm1USWNTsS1QtyJGl6OxJPOXJERLHddioOs3spfzPq5PBZ0S01AGfOkT4+hCFGjRqFCRMmmD977703AGDcuHEYMWIEAGDGjBnYb7/9cPbZZ2Pt2rV46aWXcNVVV+G8885DXV0dAGDWrFkIh8OYM2cO3n33XTz99NOYP39+WVeqAdlFYGtBC6Q23R49wRtOOhn3ZNojiKpGcaJX4e2wAZaUjEKbMmDRQtlJyQhjHTJ9jpywfwLWocoOLuAsva3SOhQ5hxVugifO43Kc3taCbDnw+/14/vnnUVFRgalTp+K0007DKaecgjvuuMO8pr6+HkuXLsXnn3+Ogw46CBdddBHmzp2LuXPnShy5d2Sp4BRSJXK/Ih9QFatkAIci45gY8Xo2rWbfweWt7Un/DTUZLScN6ERFrE4KI0Q1gAScOrgCGVwHQYqoClsncyiqKiz9N9QT1QP2zxMU2bqCFcqqzxHFmDFj8pZ/jho1Cs8991zR906cOBGvvPIKr6FJgZVBiCSSRRmFbJpIrU3ZFPNy1vYAllPdbUWsYhtm9mRKm4sxmSLZv+ymbD8yFOng2jmLTnRPKDsMrpm+Eqk5UkifBdg3rNYKW1HrUCV9lvVvqDaubHq7+LhEtq5ghQHDHH2VYc39lqKDRS8c698sBqEUtc0WA4QQ4Uc8EFL6ME6RhtWNsRCSkrHJHImMWCudMLgiK50cOLhCheI2mSNrykbFxrVCghRH61CkftNecYt13OUiyNbO0QCAz2fYXtRyNmXFoh2bJ29HEylQglJUCTGg5hzaS19JENWXmEOREavVgS71zAtlHVR1cG0yR9Zx866wNUv5bTSn7DGDFP4JGEfpbZEMbsCeboyOOxzgX2HLCto5GiCw22OlR+DCcbIpyyhtdhLt8B6X32eYR5n0lNgAewSmRpXdlBWMWK2fX9I5ErkOXVRnikmr2XRwLXsD78IZ+r2TKVKyOWX2XimmOZIhqi/F/pVZjyNAO0cDBnYPvYwIShMBLlveKyTIpk5KyO9DwM9/qdgVZQst5VdUgxG2+WyJjFh9PsN8tkqyf6o6uCoGKQL3hhz2r8Qcil2H6nWqB5ywf+Ulxga0czRgYLfKQmQlgyvNkULiRpFRNGAdlz02RDnWQWDEWmXz2RIZDKT/jr0Oy1K6KyvG4NqtZhV1Zh8ABP0+BDJONG3jUXBcigqyxTK4Nu2OwHvFCto5GiCw22G5R+BGo6qIsNKuARN4rwD7DeiU1Y0J3JTtPu+iI1a790uGYVWp7QFg7Qtl93kXY67sHuRNfy+yiEQ1/aZdOYfIPYsVtHM0QGB3QctJqzmokhFpWEtEhtRJEcc6ZObQpuZIJJ2vXErGtgFL5FzPG3YdXN3l3Bo8qZNWAxw43nQvVWgO48kUEplKSTHOkb3Gp6JZeBbQztEAgdNqNZGbciyZQiJpU7CnYLQjPq2mjoOr4rlcQPbIBpVaVwAuGFwhhRH2HNxUighrtghknYpS6SuRrSusf6dkylZCcUupnnE5B4uLEIo7DMp1Wk1DOEwP3ibrIOTYAsvfKNVeXiR1bndBi0+r2YzCJKTVoonivXsIIdlxCUnJqCdet/4dlarV7Dq41v5aQnRjDhkaUSkZ22l3BdPb1HnyGTCP9hAxLrv6LJ1W0xAO2wZfIBVs7Ulil3ZVaVMWGd0D1khaHcOa6+AWHldOTyiBKRnl2D+n41LIwc1hHVTS/inK/qnYUNc6JhHnhdq9V7qUX0MabEfSAg2rYRi2xKCiz92pNFMy9qId0ZojuwJVkV2MgeIbYESwYbVfnZkSNibAhbEQ6EgCxR1cei9DAR/8Ahr12RfVS0pvl2JDZKTVSnRfzwYDYk4GcxoMiDgeihXKZ6QaRWH3NOkegQwNYBFdFjFios/dsa05EpxWsysyFjkun88wGcBic0h/F/QbCArsCaUa61BpUwsltNLJpoMrPI3ssDeb+KpRmyy8wOIWoPjxQiIbUwKWlhqlggEtyNaQBTtOiPX3xQ6nZQk7ImPR5+5UmVGY3bSamHtlt3ePrFRRsfslMi2aHpM9J0S0YbXNaAlMb9t1cFV3QlRj/2T0jAPsBSninndnLLwWZGsIh4p0PpAVWNtZ0KLO3VExMrT+HZW0Dta/U6zkWmSVE+AgBSk6JaNgetv6d4o6uLJK5u12V/4Kr0Pr8ULawRUD7RwNEDhNq4miXW2l1YRvynZ7c6QNnGppNeGG1QajJa3tgU2GRhijZXMdqujgimf/1LxX5lFMNruvq9TqQ5bGzvbxITqtpiEalZbTpIshu9GITasV688huouxtdlisZO3hUfSCnZXBuxVytDNUURaFFBXc+Q0rSbaabOXkhGkV7EZpEhLjRYZVzyZMg+mrRK9l6oUpOg+Rxqqw/TgFWMdbBnWhJyINZkiiBVpTkkXvOhzuey2GBAuqrehGxPVidq2YZXFlBYZl7XZoqhny4mDKzp9VVKvouCzJbrZImCPhZenOVIrSGEB7RwNEJgefJHyU0KIySyp1BRPNJ1vFcEqVb1jw1hY2x6IMqyOIlbB518lUgSxYtU7kp73YsZCdHWm9e8o9bwrzpQWY+FFN1vMGVexZ0vwHDo+8Fyn1TREw86mHE8SJOm5OyptyoINa8DvMze0YvdLxeNDZBrW7iJOm6z0FVD8folm2ex0qhddnQnY690jqyrMdu8ehcT+opst5o6r9J4l7CxBm+0YNHOkIQ1OFg6gFu0qo3uqnVy5yANeAXtRmAzDWm3j2RI9h0G/D0F/2igVY0vpmIW1rqDnmNlYh6KqM4Hss9UdVS8lY/3b+SDtAGiFAifAXhpSliNZ0sEVvJeygHaOBgjsGFZqwPw+wzQsvFFth3WQsHBsOZPCDav9TVmoYQ2nv39RwyqYoQHssaXUcRKXgizd90XGCeU14dLjEq9H9IGSLraCFIUqIUWPCQCqM/tQt0KpUdsObmYd6mo1DeGw0xTPFBiLpILppmwjYhVqWJ1EYSqlIKVsyupFrIA94ax4Ub19BldEA0iKqrB6zJH1eCF7QYo661C0tgfIzmFPtIiDK3jPsuvgip5DFtDO0QABXaSxRMrUFfWFDFGcLeZIimEtLboUnlazcfSEFMNqRqyKzqGC7J+tAgQJrIMdB1dkkJJdh4XH1SN4Dh2l1QTeK1vMkeA5tOvg0ntZLWgOWUA7RwMEVo+80AYoxYDZYI5knLtDHZHiEavglIzFsBbqvyTFsJoRq1pzaIf9646KpfPtpPpksmzFUzLiG/XZSiWLZo6CNkT1MhxJG8yR6IAOKO3gplJEikbLK7RzNEAQDmTpzUKLWga1aYc5iiTEdnUFSm/KhGQXtOiUDJA9jqMv5BpWNVkHOyks6uCJGlO0CIMroyFetZOUjMg5LBGkxJMpsxeZSmk1VTVH2bSaONNeUYI5iiSSoLGeTqtpCIcdelOOAbORKpIg5jWNRQGDH02kQG2bKJbG+v0LjUuqYS3qhIh3cEuxIbGE+C7G1tRPob5QMgyrLebI3B/EmYWsFir/82595sSn1RIFGdyI4MCp77gKwdxLBVWyAtaUbfHnHdDVahqSUCpXLiVPXmLzA+RQwXRBdxUYl9XBFKXv8VtOTy+10UgxrEXmkKYgq2Wk+wqlka2bsqBx0fkD1FyHxQxrtmRenC6klGGlcxiwHLzKG/RZSRGYDVcLjUtsQFe6apQ6v/RaEaDPVqm9tDLoF1ZhywLaORpAKJUqMg9SlRKxFkvJZAyroNRH+m8V10JRAxby+xAQ1AEXKH2Qo0whaDHmiG7YVSI35RIOLtVABP3iDKvPZ4PBlerg2hDNCl2HxQ1rj4Q9y7q2VFqHdpgj+jsZe2kp9q+cUmqAdo4GFGjqoOCClpEntyHmNQ2ryIi15KYsPsUAlBb0SjGslP2zsykLfbbsbcqiqfxSPcekpEYdiNfFrkP1DGtOg1GV2D8bqdHsMy8+SCk0h90SHFwW0M7RAEJFybRaphpFyoIuL8MqugScohT7J8ewlq447JZwv2pKpBlkzWH2DKxSjrf4qlFbzJGEtFop50h0CbjKQUrRarWoROaoxL3SzJGGNFSV2JTNtJoEKjgSL1y9IyMlYxrWEm0PRC/o7NlcxccloyqsqIMrYVMuJeY1mRCBYwJKV9HJeLYcMUcKGVYZaTUguw6VYuFLpLdTqezB4mKDFHuietFBildo52gAwa4gW+imbHF4CkfS4pmjUhoMOiaRTghQmjmSUkIcpoaiiIMrkzkq9FzJcnBLGHwpJfMlxkQIkcLSlDKssliH7Fl06vSMKyUFsJbMiw1SSmj/BPeLYwXtHA0g1FSUyv2KZx3CAR98JdrLyzGsam7KNSXSfWYJsQTmCLDh4IpkHUxBdgk6X6D+ArD/bMk4Aibd3qB/BVYsmUIi4/jKYI4KGdZu816JncPqEo63FAe3RJdzGugZhthS/lJ7lk6raUhHTSkPPvN6jcD0lWEYpXUFEvPkBctPJXV0zc5hAUcyKn5c4YAPfl9hgWpOPyEJovpCGgzR3bEpSq1DGUGKdV7yzaFVTybS8S61N8hoEQGouQ7pvYonCWJ5WgyYDI3gkvlso9/iwa9oB9crtHM0gGAu6Ej+jYYudJE9MACLkDDP4iFETp68VGQoq9KpusQcZhkasQ5usTRDTk8oCem+Ug6uSKc7/ffspRlEBimhgLUCq/+46DoIB8S2rijVu0dGGhkovQ67JcxhZQkGV4Z2E7BT3CLHwfUK7RwNIJTSYHRLYGiA4tFhJJ6S0lq+VAWWLCq4toIa1nje33dFxTtHgHUO+98v+ryF/D4EZRjWkg6u2HtVq2qQUmQOsz2ORBvW4mJ/WT1yaktIFGSsw1DAh1BmfeVjaWRoNwEHLTW0c6QhC/Qh7VQo2gGKM0fWTVElcWM2rSZar2KPzq8RXYFVxIiZdL7gMZUq5ZdlWEvqaKQFKYUr1mTfq8KGlRp8OU5bZ4k5lLaX5hmXDO0mYH3e1VqHXqGdowGEmorimzJ9XfTiqQoVHldPNLtwRObJ6aYWTaSQyCNQlZ5WK2VYRW+ARdg/6pyIHlOpiiJqQIQ7bSXWoTzDWpjR6pH8XJUyrOJ1Y0EAxZ4tSc5k5n7lc9pkaDeBbKBW6hgfXcqvIQ21paIwk3UQ+5DWFTEW3TG5DhuQn3nolVR+WmoOZaXVam3NoRzmqKCDa1b2yUmrqTqH+QyryTpIY//UqnQyn/c8jiQhRBoLX2xcspijUmcvytofvEI7RwMIJdNq0iKLIhGrhBJwoG/+vv+4aCRLWQBRKC3IlqMNqSnybPVIEoKWcnBlRdLF2D9CiDT2z9Y6lJS+6o0n8/bQkhU80RRkvjnsjSeRMvsJqROk9EraS0tVZ+pSfg3pMPsc5TH2cqOdNEXdGekvMpZxrhpFdZF+NFQQLdwJKbL5WedQ9AaYncPCzJFoIajVwe3K6+DKed6LGYtoImUxrGLvV52NdSirKgzIn5ah97BWcJBSk7lX+eaQvmYY4tPuRfdSyZqjSDw/gyuLKfUK7RwNIBSLDGVGOzVF6HxZFRZA8Qjf3JQVMqw9sWwHXGl0fp4qOpnHAxTrdUQdOdHsX7F1aJ1X0SxNMdZB1jq09tDKx/51SZIC1BQp2DCZUsH9hNLjKsbgyqpWy/69fFV0soIUr9DO0QBCseod6yIXH+0UWdAxOSkZoHh5OjVsKrEO3VIj1sJzKCtdm/6bpR1c4XNYpAzcPL9McAECUNywyuqRk24SW9gR6YpIYnCLCLJlMiFF16GkvTTk9yHgK9xDSxb75xXaORpAoJtyLJlCNJFr8HvMiiLxm7IdKlgGc1SMDTENq3A6v5jwOVsVZhii57DwpiyzGqWYMylrUza1f8oZ1vQ67CiqORK/Du3MoSwHt1gwIIMJqS2S7pM1h4Zh2LxfQaHj8grtHA0gWGn6vpS+1E25WKpIUnsBAKirzBiLXoU25cx9iCVS/Y4IkMnQ0I2tWMQqw7AWncOInE3ZWq1GSK7IuFtSmggo5XjLX4f5gic6h8I1R0X6emV1fzKZo2K6MQlzWCQApnuGjH3LC7RzNIDg91mPechljuRGOzaoYBmGNTOujiKbsuj7lZO/jyrk4BbdlDOGVcK46kw2JM+mLKs6M3OvUiTbTJTCmlYTDTuGVYYBM+ewj4ObTBFzfxCf3s4wNJH+Dm6XpB5HQHHdGJ1X0TpJIDuuvqxkLJFCNBPk1WrmSEMmTF1Bn1SRzGinqEBVkmgWKJxmyNmUBY8r4PeZeqK+G6BMB7cY60A35ToJc2g6uL25z7uVeRO9KVcG/aCZ635zKJN1KLIOs3Mo3oDVVeYPUqysjfiWGuk1mEgR07hTyDjAm6KYbqxTEssGWB3cPnNoLUDQzBE/PP/88zj00ENRWVmJ5uZmnHrqqTm/37hxI0466SRUV1ejubkZl112GWKxWM4177zzDqZNm4bKykoMHz4cN910U7/IoJxRSJQtN9oprHWgG6KUBV2Z37DmbMoyhOIF0pBdElmHuiLsX4fMTbkyf7pP5qZsGEbBflUq6FWKz6F456iQJpHeu6DfQDggpxM1UHgdqqYb65Q4h1kHN/+9qgz6hR5ozAJlIx9/6qmncN5552H+/Pn4xje+AUII3nnnHfP3yWQSJ5xwAgYPHozXXnsNO3bswOzZs0EIwcKFCwEAHR0dOPbYYzF9+nSsWbMGH374IebMmYPq6mpceeWVsr4aU9QUoM5VSKvlEz6bVLCMBV0gJUPvVXpTFr+gaysC2N4V7WfEeiSlGNJjKiwElTuH+VkH2ZtybTiAzkii3xzKOnQWKMX+yWQdaJCS37DKeN59PgM14QC6ouk5bK4Jm7/rljmHptNdbC9VhzmS1U6DBcpixIlEApdffjluv/12nHPOOebr48ePN/9/yZIleP/997Fp0ya0trYCAO68807MmTMHN998M+rq6vDII48gEonggQceQDgcxoQJE/Dhhx9iwYIFmDt3rvAKIB6oz0TS7QXoTZl6lUg8hXgylXNyO108UlIyBcS8XZHsvZLxTBRKFcmcwyydHwchJOe+SDWslWpuynWVQWxujxRch6IPDgasupD+hpXeP6lzWMDBlTaHFWnnqBCzLHMOVUurFWIlZfWLY4Gy4Ln+/e9/44svvoDP58MBBxyAYcOG4fjjj8d7771nXrNq1SpMmDDBdIwAYObMmYhGo3jzzTfNa6ZNm4ZwOJxzzebNm7Fhw4aCfz8ajaKjoyPnR1XUFXCOZFLB1sivb5oh6xzJoPPzG4tOiRErANRXhQAAuxWaQ3qv4sn+GgyZdH4hIajsxnOlghQZVWFWMW9fKYEKDG4/wyqp2pCi1F4qpbKvAIObShGzS7zctFrfeyWnTxULlIVz9OmnnwIA5s2bh5/97Gd47rnn0NjYiGnTpmHnzp0AgLa2NgwdOjTnfY2NjQiFQmhrayt4Df03vSYfbrnlFtTX15s/I0eOZPbdWKPQpkz/TX8vElaRcd8NUAUquPCmrJZhNZ0QSQ0zKVnU935J1Y0VoPPppqzcHMpMb2ecDEJyOxkTQkxjK4PBrS3AlMpmHRqq0verb5Aik6GhLFpPLJlzVEdXLGF2z1dpHXZK3ku9QKpzNG/ePBiGUfTnjTfeQCqVfgiuv/56/Nd//RemTJmCRYsWwTAM/OUvfzE/L18KpG8KoO81NIIqlj657rrr0N7ebv5s2rTJ0/fmCbop7+5RxzkCrCeC545LphC0UEpGdkfX+kwUVsjBrZMwhz6fYfZgskatqRSRer8KCbJlb8oqBikVwWwnYyuD2x3LHi0kdR0WEGTLqnIqNIcdEucwh4W3rEP6vIf8PlQI7p4PFF6HslOjXiB1xJdccgnOOOOMoteMGTMGnZ2dAID99tvPfD0cDmOPPfbAxo0bAQAtLS1YvXp1znt37dqFeDxuskMtLS39GKKtW7cCQD9GyYpwOJyTilMZDQUMvswFDaQN59bOaI6+hxAimTkqQAUrYlj7zqEKDm5nNJFjLLotEauUMvAConrZmzJlHVRah4ZhoK4yiJ3dMbT3xtFSXwEgy94GfAYqguLj5UJ9jkyWTcJzBZRehzKClFAgzcL3xpPo6E2gIZOCl7mPWv9uob20HDVHUkfc3NyM5ubmktdNmTIF4XAY69atwxFHHAEAiMfj2LBhA0aPHg0AOOyww3DzzTdjy5YtGDZsGIC0SDscDmPKlCnmNT/96U8Ri8UQCoXMa1pbWzFmzBgO31A8VIxYAaCxKgSgG7t7sq0VookU4sm0ZZUpIuyKJpBKEfNYFdmnSDdUpp9N1eawoSqEze2RnDm0RqyyKvuAPOyf5E1ZVQa3IeMc7cozh7UVkgoQKvNX2KoSpKjEHAFAY1UQve1J7OqJYdSgKgByU31AsfR2+TJHZaE5qqurwwUXXIAbbrgBS5Yswbp163DhhRcCAL773e8CAGbMmIH99tsPZ599NtauXYuXXnoJV111Fc477zzU1dUBAGbNmoVwOIw5c+bg3XffxdNPP4358+cPmEo1oNiCTuT8XjRoJL3LYixolGEY4k8oB7IbCSG552DJ1NAAVsOa26OrQ2LECgCN1f0NvvVeyTGsmQNC+2owJDu4JYOUKrnrMNfBlSfGBqzsX9+UjNx1SFmZdtUc3My4dqk0hwX6HMlOb3tB2Yz49ttvRyAQwNlnn43e3l4ceuihePnll9HY2AgA8Pv9eP7553HRRRdh6tSpqKysxKxZs3DHHXeYn1FfX4+lS5fi4osvxkEHHYTGxkbMnTsXc+fOlfW1mMM0rAqyDkDfBZ2N7kUfhgsAFUE/wgEfookUOiPxftE+HbNoFKqSkR2xFp1DyXQ+kHaI6BjpHMq6V4XmUPY6bDTn0OrgqjGHXdEEEsmU2ZeK3itZ7F+duZdmn3dCiPw5zBOkyF6Hhc5Wy56rVjauhomyGXEwGMQdd9yR4+z0xahRo/Dcc88V/ZyJEyfilVdeYT08ZVBqU6Yevmg05olYs71V5J25U1cZxLbOKHb3xDEi7WebY2yUFN2rmxrtz/7JjliDfh+qQn70xJJo7433c+AaFJrDVIpoBzcPrM+O1cGlz1lDtZwgJd8c9sSSSGTU6yrNoWwHl9qdSDyFaCJpdjRv76V7qZw59IKySKtp2Ee+BR1LpMwDMOUvaHWiHQBoyrPR7JLMHFGD3m4RqMaTKbP8WjbrkE9zJHMO6bh2dmfHRaNqWZuymZKxrMOuWMKsCpPt4FpTRbKDlFDAh+rMkTjW/UGdICW7Dul8BiyHfIsGLbpRKUipDQfgz7D/VkaLrklZc+gF2jkaYKCGNZZIIZJxiKwbtKzFU8ywyqhyomiqzmdY5UY72U05ZraasAodZfSiAfI7uLIjViD/HFJnl6YgRCNfpRN1SEIBOeXWANBYrR5zBABNNXQOo+Zru2Q7uPnm0ML8ydKp5ttLqaZU1hz6fIbpAO3oyhOkSGL/vEA7RwMMNRYPni5kq2jWL0HbA5RKycjflK0LOrspyzWs8SQxGT86lzXhgLQDHBtMTZZaqdFBeeZQtm6MzmFnRkcDyE+LAsULI2QGKYOq061Stnf1D1JUSo2qOocqjKtokKLTahqyYRiGySxQA6HCwsmXJ9+twLgGFVnQsgxrVchvNuujc6fCHFIWJicFmblvgyRGhnRT3qHQpmxl98wgRYU5zMM67OySP4d91yEhRHpqlM5TVzSBeB8HV1bFKFBgDjOM26Aaef34qIO7IzOWVCorXtdpNQ0lQBfIjq70Q2ouaImRYb4KCzq+5lp1FnQimTLTDLIWtGEYWYOfMVwqbMqmg9ttmUPqHNWoYFjTcxhNJNGT0WfJmsOA32dG+NTgq+Dg5mMdsnMobx32ZR06owlT+CzNwa0Mmkz7LoXmMF+QQveJZplBSh8GtyMSNzV2sgJNL9DO0QDE4Mwmt7UzbSxUi1hTmRWzXYGIte+CtlLoMu/X4IzDuK0z18Gtl1RtCOSPWLdnHFzqZMpAk+ngpsdFHXCfITcg6LsOVTCstMGodQ53mKyDRAfXDOgyc5hxwMMBHyolCZ/9PsPcm1TaS4sHKTIDzVwHlzrg1SE/QhIaxHpF+Y1YoySG1OUaVuqENEl0QmjEmiJZAahpWBVc0LUV8rQ9QH/nSIVNmbIw3bEkYol0moEaMzWYo1znqL4yKKV/FkVhB1c+67C7J26K/U3WQYE5pI6a7LQohZJzmKcSku6lMvf4vults1KtDMXYgHaOBiRoxLots2C2dkYAAEPrKqSNKRzwm+W6OzMbnwqbcl86X3alGsWQ2tw5pJtzs0RHsq4im2ag94saM5njGlTT18FVbA47+86hvHHRe5JIEbPCaYcS7F+fddhLBfVytSp9nSMV1iG9V13RBCLxdKBCA06pDm7mntD0tip7qVto52gAgi7orR2RzH/TDytllGSBOmdt7elxqWBY6Wayow9zJFtA2HcOv8zMYYtEB9fnM0yD/2VHBIQQJZijvvosc1OWHLEO7uPgtnXID1Iqgn7z2W7riKA3ljT7Z0mdw5oCc6iKg5uZwy8zc9hSLzNICZg9ltraI6ZDGfAZkisOc+cw2y+u/MTYgHaOBiTMtFo/5kiuc0RPAW/r6FXIsKbvSXtvHPFkyox6ZAsI+7J/XyrA/gHZOdzS3ouO3qxoViad31dUr5qDS9kGGqTIn8NKAMDm9l7znoUCPqnnXzVXU9YhY1jNlIwac9g3SBkicQ4Nw7Csw0hOSk1mGllVFt4ttHM0ADG4Jr1w6KZMF/TQWtmbcnZBt/fGlTCsDZaKlO1dUXyxO70JtjbIvVd086VzSNk22ezfMMscUsNaWxEwjwuQAepcR+IpdEUT5r0aLLEK0vr3aXCiioNL57CtPZJT5STz8O0mS2qUEGIKoGWyykARiYLkvXSYJUjZqYAYG8iy8NRZo2y8zP3dC7RzNABBDejWzlwqWBXD2tYeMUXidZINq89nYHhDOpLetLMXX+zqBQCMaKySNibAalijOf+VbVhb6tL3qq09Ym5+sg1YdThgUvef7+rB56rMoSVIIYSYTpvM1CiQG6SoYliH1IbhM4BYMoVtnVF8sZvOYaXUcQ2uzc5hLJEy9y3pLHxmHVqDFJlVv0CWkeyIJNAZiZvrUHag6RbaORqAoNHO7p442nvjplhPJhUMAMMonb87ku1xJHlTBoBRTWkjunFnD77Y3QMApsMkC2bE2hlFNJE0jZhs5yiHOVKgQoZidGYOP9vRg893pedQvmHNzmFHbwLRTIWf9CDF1P71WipG5c5h0O9Da2bNbdyZdXCHN8h1cK2BJmWPgn5DeqooJ9DsVIOhqQkHTActPYfpdThScpDiFto5GoBoqAoinOkrsXbjLgBAZdCPWomaAsCyoDt68aUitDkAjKTO0Y5uM2IdLtmw0k25J5bEx1u7AAAhv0+6jqbFsilTAyY7igayc7hpp5U5kjuHlCHa1RPHp9vTc9hQFZR2rhqFlTnaROdQcpoIAEYPUs/BpYLstvYI2tp7M69VSNX2ALlz+NnObgDAyCa59yo9hv7rkL5WbtDO0QCEYRjYa2gNAODVj7YDSBtbmZoCINewfpIx+GObq2UOCUB2U16/owdbMpoj2ZtyVSiA1sz9+ufH6swhdXA3t/fik23pOdxzcI3MIQHIsn+fbu82q8Jkp9Xqq4Ime/RaZh2q4IRQBte6Dvccos4cfryty9RJyl6HwxsqEQr4EE2k8OZn6UBTNvMH5AaaNHgap9A6/PDLLlMvKXsO3UI7RwMU44fWAQCe/b/NAIDRg+Q7IXRT3t4VwztftAOA6cTJBF3Qb2zYiUSKIOAzMEQBI7Z3Sy0A4KUPtgKQn1IDsg7ulx0RfLClEwAwTiHDumb9TiRTBCG/z0xNysTemef75XWZOayXP4fDMhqQL3b34sMv03OognNEGYbXP90BIM12y04VBfw+0/mn61C2ZgyAmYL8bEeP6RypMIc00Fz1SXoOa8MBqQ0zvUA7RwMU41vSC4UKeQ8Y2SBxNGk0VgVNmvrl/6Q3GhUWNDWsWzKC2WENFWYFm0yMH5p2jlav3wkA+FprnczhAABa6yvRUBVEPEnw1qbdABSZw8ym/FHGULQ2yE99AMDemTlcu3E3AGCCAnM4uqkKNeEAemJJ836pMIejm9IBHL1XwxsrpTOlADC+JXcdThheL3M4ANLzVRn0ozOSMEXiKjBH1MFdlXFwVZlDN9DO0QAF3ZQpJo9qkDMQCwzDwEFjGnNe6ztOGRjbXI2Q5aiQiQpsfkD/ezNldGOBK8XB5zMwZVR2HIahxqbcdwwqGHug/xwePKZJ0kiyCPh9OMCyH1QEfdILEIAs62D+WxGtSt85PHCU/HUY7DOHw+orUC1ZUwr0n7Ny1RsB2jkasNhvWG6EOnlEg5yB9MGU0VnjUB3ym7lzmagOB3Ds14aa/z5l8nCJo8mCRqwUBylgWIHccYxorJQuMAbSKcdDLOM6aVKrxNFk0XcOVTCsAHCQZR2OG1yjBMu277C6HCdt5oQWiaPJgrLwFJMVYOGB3HXY9zmThQNGNeYUjUzbe7DE0XiDdo4GKIbUVeDGb38NAZ+BA0c1SD9KgeIgC/sx42stylCuZ399NIB0FH30+CGSR5PGfsPqzI14eEOlEtE9ABwyNjuH9L6pgO8cmHVqZ35NDcM6eUQDDttjEIC08a9X5CiFQ/fIGtYfHbWHxJFk4fcZON7iEH1r4jCJo8ni8HHNZnHEpJENqAzJDwYA4Mi9mgGkS+jnHru35NGkEQr4chyikyerEaS4gUHo0cwattHR0YH6+nq0t7ejrk6+hqAYtndFURMOKBHdAwAhBLf8739QVxHAj44ah1BAHf/8xfe/RGtDJfZTQBdCEYkn8eDKDZg8sgGHZoysbBBC8IdXPsXIxiqcsL8aBgwAEskUfvPSR9h/RAO+ud/Q0m8QhFgihb+8uQlTRjdinxY1ni1CCB7910bsObhGmecKSHfIvvSxf+OYfYbih0eMlT0cE52ROB5cuQFHjx+ihOaI4rWPtmPckGqz2EUFbNrZgx8+sAb/NWUELpg2TvZw+sGu/dbOkQuUk3OkoaGhoaGhkYZd+61O2K6hoaGhoaGhoQC0c6ShoaGhoaGhYYF2jjQ0NDQ0NDQ0LNDOkYaGhoaGhoaGBdo50tDQ0NDQ0NCwQDtHGhoaGhoaGhoWaOdIQ0NDQ0NDQ8MC7RxpaGhoaGhoaFignSMNDQ0NDQ0NDQu0c6ShoaGhoaGhYYF2jjQ0NDQ0NDQ0LNDOkYaGhoaGhoaGBdo50tDQ0NDQ0NCwQDtHGhoaGhoaGhoWBGQPoBxBCAEAdHR0SB6JhoaGhoaGhl1Qu03teCFo58gFOjs7AQAjR46UPBINDQ0NDQ0Np+js7ER9fX3B3xuklPuk0Q+pVAqbN29GbW0tDMNg9rkdHR0YOXIkNm3ahLq6OmafqxIG+ncc6N8PGPjfUX+/8sdA/44D/fsB/L4jIQSdnZ1obW2Fz1dYWaSZIxfw+XwYMWIEt8+vq6sbsA88xUD/jgP9+wED/zvq71f+GOjfcaB/P4DPdyzGGFFoQbaGhoaGhoaGhgXaOdLQ0NDQ0NDQsEA7RwohHA7jhhtuQDgclj0Ubhjo33Ggfz9g4H9H/f3KHwP9Ow707wfI/45akK2hoaGhoaGhYYFmjjQ0NDQ0NDQ0LNDOkYaGhoaGhoaGBdo50tDQ0NDQ0NCwQDtHGhoaGhoaGhoWaOdIMH7/+99j7NixqKiowJQpU/Dqq68WvX7FihWYMmUKKioqsMcee+Cee+4RNFJnuOWWW3DwwQejtrYWQ4YMwSmnnIJ169YVfc/y5cthGEa/n//85z+CRu0M8+bN6zfWlpaWou8pl/mjGDNmTN45ufjii/Ner/ocvvLKKzjppJPQ2toKwzDwzDPP5PyeEIJ58+ahtbUVlZWVOProo/Hee++V/NynnnoK++23H8LhMPbbbz88/fTTnL5BaRT7jvF4HNdccw0mTpyI6upqtLa24vvf/z42b95c9DMfeOCBvPMaiUQ4f5v+KDWHc+bM6TfOr3/96yU/V5U5LPX98s2DYRi4/fbbC36mSvNnxzaouA61cyQQTzzxBK644gpcf/31WLt2LY488kgcf/zx2LhxY97r169fj29961s48sgjsXbtWvz0pz/FZZddhqeeekrwyEtjxYoVuPjii/H6669j6dKlSCQSmDFjBrq7u0u+d926ddiyZYv5s9deewkYsTt87WtfyxnrO++8U/Dacpo/ijVr1uR8v6VLlwIAvvvd7xZ9n6pz2N3djUmTJuG3v/1t3t/fdtttWLBgAX77299izZo1aGlpwbHHHmuen5gPq1atwumnn46zzz4b//d//4ezzz4bp512GlavXs3raxRFse/Y09ODf//73/j5z3+Of//731i8eDE+/PBDfPvb3y75uXV1dTlzumXLFlRUVPD4CkVRag4B4LjjjssZ59///vein6nSHJb6fn3n4E9/+hMMw8B//dd/Ff1cVebPjm1Qch0SDWE45JBDyAUXXJDz2j777EOuvfbavNdfffXVZJ999sl57fzzzydf//rXuY2RFbZu3UoAkBUrVhS8ZtmyZQQA2bVrl7iBecANN9xAJk2aZPv6cp4/issvv5yMGzeOpFKpvL8vpzkEQJ5++mnz36lUirS0tJBbb73VfC0SiZD6+npyzz33FPyc0047jRx33HE5r82cOZOcccYZzMfsFH2/Yz7861//IgDIZ599VvCaRYsWkfr6eraDY4B832/27Nnk5JNPdvQ5qs6hnfk7+eSTyTe+8Y2i16g6f4T0tw2qrkPNHAlCLBbDm2++iRkzZuS8PmPGDKxcuTLve1atWtXv+pkzZ+KNN95APB7nNlYWaG9vBwA0NTWVvPaAAw7AsGHDcMwxx2DZsmW8h+YJH330EVpbWzF27FicccYZ+PTTTwteW87zB6Sf2Ycffhg//OEPSx6wXE5zSLF+/Xq0tbXlzFE4HMa0adMKrkmg8LwWe49KaG9vh2EYaGhoKHpdV1cXRo8ejREjRuDEE0/E2rVrxQzQBZYvX44hQ4Zg7733xnnnnYetW7cWvb5c5/DLL7/E888/j3POOafktarOX1/boOo61M6RIGzfvh3JZBJDhw7NeX3o0KFoa2vL+562tra81ycSCWzfvp3bWL2CEIK5c+fiiCOOwIQJEwpeN2zYMNx777146qmnsHjxYowfPx7HHHMMXnnlFYGjtY9DDz0Uf/7zn/GPf/wD9913H9ra2nD44Ydjx44dea8v1/mjeOaZZ7B7927MmTOn4DXlNodW0HXnZE3S9zl9jyqIRCK49tprMWvWrKKHee6zzz544IEH8Le//Q2PPfYYKioqMHXqVHz00UcCR2sPxx9/PB555BG8/PLLuPPOO7FmzRp84xvfQDQaLfiecp3DBx98ELW1tTj11FOLXqfq/OWzDaquwwCTT9Gwjb4ROCGkaFSe7/p8r6uESy65BG+//TZee+21oteNHz8e48ePN/992GGHYdOmTbjjjjtw1FFH8R6mYxx//PHm/0+cOBGHHXYYxo0bhwcffBBz587N+55ynD+K+++/H8cffzxaW1sLXlNuc5gPTtek2/fIRjwexxlnnIFUKoXf//73Ra/9+te/niNqnjp1Kg488EAsXLgQv/nNb3gP1RFOP/108/8nTJiAgw46CKNHj8bzzz9f1Ikoxzn805/+hLPOOqukdkjV+StmG1Rbh5o5EoTm5mb4/f5+Xu3WrVv7eb8ULS0tea8PBAIYNGgQt7F6waWXXoq//e1vWLZsGUaMGOH4/V//+telRzd2UV1djYkTJxYcbznOH8Vnn32GF198Eeeee67j95bLHNJKQydrkr7P6XtkIx6P47TTTsP69euxdOnSoqxRPvh8Phx88MFlMa/Dhg3D6NGji461HOfw1Vdfxbp161ytSRXmr5BtUHUdaudIEEKhEKZMmWJW/1AsXboUhx9+eN73HHbYYf2uX7JkCQ466CAEg0FuY3UDQgguueQSLF68GC+//DLGjh3r6nPWrl2LYcOGMR4dH0SjUXzwwQcFx1tO89cXixYtwpAhQ3DCCSc4fm+5zOHYsWPR0tKSM0exWAwrVqwouCaBwvNa7D0yQR2jjz76CC+++KIrx5wQgrfeeqss5nXHjh3YtGlT0bGW2xwCaSZ3ypQpmDRpkuP3ypy/UrZB2XXIRNatYQuPP/44CQaD5P777yfvv/8+ueKKK0h1dTXZsGEDIYSQa6+9lpx99tnm9Z9++impqqoiP/7xj8n7779P7r//fhIMBsmTTz4p6ysUxIUXXkjq6+vJ8uXLyZYtW8yfnp4e85q+3+/Xv/41efrpp8mHH35I3n33XXLttdcSAOSpp56S8RVK4sorryTLly8nn376KXn99dfJiSeeSGprawfE/FmRTCbJqFGjyDXXXNPvd+U2h52dnWTt2rVk7dq1BABZsGABWbt2rVmpdeutt5L6+nqyePFi8s4775AzzzyTDBs2jHR0dJifcfbZZ+dUlP7zn/8kfr+f3HrrreSDDz4gt956KwkEAuT1118X/v0IKf4d4/E4+fa3v01GjBhB3nrrrZy1GY1Gzc/o+x3nzZtHXnjhBfLJJ5+QtWvXkh/84AckEAiQ1atXK/X9Ojs7yZVXXklWrlxJ1q9fT5YtW0YOO+wwMnz48LKZw1LPKCGEtLe3k6qqKnL33Xfn/QyV58+ObVBxHWrnSDB+97vfkdGjR5NQKEQOPPDAnFL32bNnk2nTpuVcv3z5cnLAAQeQUChExowZU3BxyAaAvD+LFi0yr+n7/X71q1+RcePGkYqKCtLY2EiOOOII8vzzz4sfvE2cfvrpZNiwYSQYDJLW1lZy6qmnkvfee8/8fTnPnxX/+Mc/CACybt26fr8rtzmkrQb6/syePZsQki4jvuGGG0hLSwsJh8PkqKOOIu+8807OZ0ybNs28nuIvf/kLGT9+PAkGg2SfffaR6gwW+47r168vuDaXLVtmfkbf73jFFVeQUaNGkVAoRAYPHkxmzJhBVq5cKf7LkeLfr6enh8yYMYMMHjyYBINBMmrUKDJ79myycePGnM9QeQ5LPaOEEPKHP/yBVFZWkt27d+f9DJXnz45tUHEdGpnBa2hoaGhoaGhoQGuONDQ0NDQ0NDRyoJ0jDQ0NDQ0NDQ0LtHOkoaGhoaGhoWGBdo40NDQ0NDQ0NCzQzpGGhoaGhoaGhgXaOdLQ0NDQ0NDQsEA7RxoaGhoaGhoaFmjnSENDo+wxb948TJ48WfjfXb58OQzDgGEYOOWUU2y9Z968eeZ77rrrLq7j09DQcAftHGloaCgN6kgU+pkzZw6uuuoqvPTSS9LGuG7dOjzwwAO2rr3qqquwZcsWVwcza2hoiEFA9gA0NDQ0imHLli3m/z/xxBP4//6//w/r1q0zX6usrERNTQ1qampkDA8AMGTIEDQ0NNi6lo7V7/fzHZSGhoZraOZIQ0NDabS0tJg/9fX1MAyj32t902pz5szBKaecgvnz52Po0KFoaGjAjTfeiEQigZ/85CdoamrCiBEj8Kc//Snnb33xxRc4/fTT0djYiEGDBuHkk0/Ghg0bHI/5ySefxMSJE1FZWYlBgwbhm9/8Jrq7uz3eCQ0NDVHQzpGGhsaAxMsvv4zNmzfjlVdewYIFCzBv3jyceOKJaGxsxOrVq3HBBRfgggsuwKZNmwAAPT09mD59OmpqavDKK6/gtddeQ01NDY477jjEYjHbf3fLli0488wz8cMf/hAffPABli9fjlNPPRX6GEsNjfKBdo40NDQGJJqamvCb3/wG48ePxw9/+EOMHz8ePT09+OlPf4q99toL1113HUKhEP75z38CAB5//HH4fD788Y9/xMSJE7Hvvvti0aJF2LhxI5YvX277727ZsgWJRAKnnnoqxowZg4kTJ+Kiiy6SmvbT0NBwBq050tDQGJD42te+Bp8vG/8NHToUEyZMMP/t9/sxaNAgbN26FQDw5ptv4uOPP0ZtbW3O50QiEXzyySe2/+6kSZNwzDHHYOLEiZg5cyZmzJiB//f//h8aGxs9fiMNDQ1R0M6RhobGgEQwGMz5t2EYeV9LpVIAgFQqhSlTpuCRRx7p91mDBw+2/Xf9fj+WLl2KlStXYsmSJVi4cCGuv/56rF69GmPHjnXxTTQ0NERDp9U0NDQ0ABx44IH46KOPMGTIEOy55545P/X19Y4+yzAMTJ06FTfeeCPWrl2LUCiEp59+mtPINTQ0WEM7RxoaGhoAzjrrLDQ3N+Pkk0/Gq6++ivXr12PFihW4/PLL8fnnn9v+nNWrV2P+/Pl44403sHHjRixevBjbtm3Dvvvuy3H0GhoaLKHTahoaGhoAqqqq8Morr+Caa67Bqaeeis7OTgwfPhzHHHMM6urqbH9OXV0dXnnlFdx1113o6OjA6NGjceedd+L444/nOHoNDQ2WMIiuL9XQ0NBwheXLl2P69OnYtWuX7SaQFGPGjMEVV1yBK664gsvYNDQ03EOn1TQ0NDQ8YsSIETjzzDNtXTt//nzU1NRg48aNnEeloaHhFpo50tDQ0HCJ3t5efPHFFwDSx4K0tLSUfM/OnTuxc+dOAOkqOKdibw0NDf7QzpGGhoaGhoaGhgU6raahoaGhoaGhYYF2jjQ0NDQ0NDQ0LNDOkYaGhoaGhoaGBdo50tDQ0NDQ0NCwQDtHGhoaGhoaGhoWaOdIQ0NDQ0NDQ8MC7RxpaGhoaGhoaFignSMNDQ0NDQ0NDQu0c6ShoaGhoaGhYcH/D20AyR2tb6TnAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "plt.figure()\n", "pto_tdom['power'].loc['mech',:,:].plot()" @@ -611,30 +383,9 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "plt.figure()\n", "wec_tdom['pos'].plot()" @@ -642,30 +393,9 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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<xarray.Dataset> Size: 28kB\n",
-       "Dimensions:  (time: 500, dof: 1, type: 2)\n",
-       "Coordinates:\n",
-       "  * time     (time) float64 4kB 0.0 0.04 0.08 0.12 ... 19.84 19.88 19.92 19.96\n",
-       "  * dof      (dof) <U9 36B 'PTO_Heave'\n",
-       "  * type     (type) <U4 32B 'mech' 'elec'\n",
-       "Data variables:\n",
-       "    pos      (time, dof) float64 4kB 0.08715 0.09581 0.1049 ... 0.07171 0.07909\n",
-       "    vel      (time, dof) float64 4kB 0.2094 0.2226 0.2315 ... 0.1759 0.1933\n",
-       "    acc      (time, dof) float64 4kB 0.3734 0.2815 0.1571 ... 0.4354 0.4261\n",
-       "    force    (time, dof) float64 4kB 1.756e+03 1.854e+03 ... 1.44e+03 1.619e+03\n",
-       "    power    (type, time, dof) float64 8kB 367.7 412.8 444.5 ... 253.3 313.0\n",
-       "Attributes:\n",
-       "    time_created_utc:  2024-04-26 01:39:54.105057
" - ], - "text/plain": [ - " Size: 28kB\n", - "Dimensions: (time: 500, dof: 1, type: 2)\n", - "Coordinates:\n", - " * time (time) float64 4kB 0.0 0.04 0.08 0.12 ... 19.84 19.88 19.92 19.96\n", - " * dof (dof) " - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "plt.figure()\n", "wec_tdom_2['pos'].plot(label='constrained')\n", @@ -1609,20 +648,9 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "r1 = 0.88\n", "r2_0 = 0.35\n", @@ -1658,7 +686,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1776,95 +804,7 @@ "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "r2 = 0.05:\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jorge\\miniforge3\\lib\\site-packages\\capytaine\\io\\xarray.py:68: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.\n", - " keys_in_dataset = set(dataset.dims.keys())\n", - "C:\\Users\\jorge\\Documents\\ragetechWEC\\WecOptTool\\wecopttool\\core.py:749: UserWarning: The `squeeze` kwarg to GroupBy is being removed.Pass .groupby(..., squeeze=False) to disable squeezing, which is the new default, and to silence this warning.\n", - " for realization, wave in waves.groupby('realization'):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Optimization terminated successfully (Exit mode 0)\n", - " Current function value: -0.2552451311036059\n", - " Iterations: 11\n", - " Function evaluations: 13\n", - " Gradient evaluations: 11\n", - "\n", - "r2 = 0.17:\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jorge\\miniforge3\\lib\\site-packages\\capytaine\\io\\xarray.py:68: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.\n", - " keys_in_dataset = set(dataset.dims.keys())\n", - "C:\\Users\\jorge\\Documents\\ragetechWEC\\WecOptTool\\wecopttool\\core.py:749: UserWarning: The `squeeze` kwarg to GroupBy is being removed.Pass .groupby(..., squeeze=False) to disable squeezing, which is the new default, and to silence this warning.\n", - " for realization, wave in waves.groupby('realization'):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Optimization terminated successfully (Exit mode 0)\n", - " Current function value: -0.2552269884601699\n", - " Iterations: 11\n", - " Function evaluations: 12\n", - " Gradient evaluations: 11\n", - "\n", - "r2 = 0.29:\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jorge\\miniforge3\\lib\\site-packages\\capytaine\\io\\xarray.py:68: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.\n", - " keys_in_dataset = set(dataset.dims.keys())\n", - "C:\\Users\\jorge\\Documents\\ragetechWEC\\WecOptTool\\wecopttool\\core.py:749: UserWarning: The `squeeze` kwarg to GroupBy is being removed.Pass .groupby(..., squeeze=False) to disable squeezing, which is the new default, and to silence this warning.\n", - " for realization, wave in waves.groupby('realization'):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Optimization terminated successfully (Exit mode 0)\n", - " Current function value: -0.25541791583955015\n", - " Iterations: 12\n", - " Function evaluations: 13\n", - " Gradient evaluations: 12\n", - "\n", - "r2 = 0.41:\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jorge\\miniforge3\\lib\\site-packages\\capytaine\\io\\xarray.py:68: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.\n", - " keys_in_dataset = set(dataset.dims.keys())\n", - "C:\\Users\\jorge\\Documents\\ragetechWEC\\WecOptTool\\wecopttool\\core.py:749: UserWarning: The `squeeze` kwarg to GroupBy is being removed.Pass .groupby(..., squeeze=False) to disable squeezing, which is the new default, and to silence this warning.\n", - " for realization, wave in waves.groupby('realization'):\n" - ] - } - ], + "outputs": [], "source": [ "wot.set_loglevel(\"error\") # Suppress warnings\n", "\n", @@ -1911,7 +851,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "wot-dev", "language": "python", "name": "python3" }, @@ -1925,7 +865,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.13" + "version": "3.11.7" }, "vscode": { "interpreter": { @@ -1934,5 +874,5 @@ } }, "nbformat": 4, - "nbformat_minor": 4 + "nbformat_minor": 2 } diff --git a/examples/tutorial_3_LUPA.ipynb b/examples/tutorial_3_LUPA.ipynb index 3aa792828..53fbf83a3 100644 --- a/examples/tutorial_3_LUPA.ipynb +++ b/examples/tutorial_3_LUPA.ipynb @@ -27,7 +27,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -62,7 +62,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -91,7 +91,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -128,7 +128,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -146,20 +146,9 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# show\n", "fig = plt.figure()\n", @@ -271,7 +239,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -326,7 +294,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -354,30 +322,9 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(-0.49988418146689506, 0.49991177824025046)" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# show\n", "fig = plt.figure()\n", @@ -402,7 +349,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -429,50 +376,9 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# plot coefficients\n", "radiating_dofs = bem_data.radiating_dof.values\n", @@ -555,7 +461,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -734,7 +640,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -805,7 +711,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -858,7 +764,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -894,7 +800,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -954,20 +860,9 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[ 0. 0. 0. 0. ]\n", - " [ 0. 504.79122981 0. 0. ]\n", - " [ 0. 0. 2178.14277582 -492.70812497]\n", - " [ 0. 0. -492.70812497 285.08177521]]\n" - ] - } - ], + "outputs": [], "source": [ "M = k_mooring(init_fair_coords[0, :], anch_coords[0, :], pretension,\n", " line_ax_stiff, init_fair_coords.shape[0])\n", @@ -985,7 +880,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1030,7 +925,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1070,17 +965,9 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of realizations for a 20 minute total simulation time: 24.0\n" - ] - } - ], + "outputs": [], "source": [ "waves = {}\n", "\n", @@ -1128,30 +1015,9 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fig, ax = plt.subplots()\n", "plt1 = np.abs(waves['south_max_90'].sel(realization=0)).plot(\n", @@ -1188,35 +1054,9 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jorge\\Documents\\ragetechWEC\\WecOptTool\\wecopttool\\core.py:749: UserWarning: The `squeeze` kwarg to GroupBy is being removed.Pass .groupby(..., squeeze=False) to disable squeezing, which is the new default, and to silence this warning.\n", - " for realization, wave in waves.groupby('realization'):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Optimization terminated successfully (Exit mode 0)\n", - " Current function value: -0.011327639928152469\n", - " Iterations: 53\n", - " Function evaluations: 54\n", - " Gradient evaluations: 53\n", - "Optimization terminated successfully (Exit mode 0)\n", - " Current function value: -0.011328293245063313\n", - " Iterations: 54\n", - " Function evaluations: 55\n", - " Gradient evaluations: 54\n", - "Optimal average electrical power: -1.132796658660789 W\n" - ] - } - ], + "outputs": [], "source": [ "# Objective function\n", "obj_fun = pto.average_power\n", @@ -1242,17 +1082,9 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "100\n" - ] - } - ], + "outputs": [], "source": [ "x_wec, x_opt = wec.decompose_state(results[0].x)\n", "print(len(x_opt))" @@ -1260,7 +1092,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1285,30 +1117,9 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(-19.466983310051585, 2.7299226733031783)" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fig_res1, ax_res1 = plt.subplots(nrows=4, sharex=True, figsize=(8, 10))\n", "\n", @@ -1413,30 +1224,9 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 0.93, 'WEC Forces')" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "## Forces\n", "fig_res2, ax_res2 = plt.subplots(len(influenced_dofs), 1, sharex=True, figsize=(8, 10))\n", @@ -1480,7 +1270,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1594,7 +1384,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1633,7 +1423,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1645,20 +1435,9 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fvals = opt_results.fval.values\n", "opt_x0 = np.argmin(fvals)\n", @@ -1692,7 +1471,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "wot-dev", "language": "python", "name": "python3" }, @@ -1706,7 +1485,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.13" + "version": "3.11.7" }, "vscode": { "interpreter": { @@ -1715,5 +1494,5 @@ } }, "nbformat": 4, - "nbformat_minor": 4 + "nbformat_minor": 2 } From 9098c0ea4d94e793dcfe3267e6713ec713b4a955 Mon Sep 17 00:00:00 2001 From: jorgeypcb Date: Mon, 13 May 2024 12:08:39 -0600 Subject: [PATCH 24/30] slight correction to the tutorial metadata --- examples/tutorial_1_WaveBot.ipynb | 4 ++-- examples/tutorial_3_LUPA.ipynb | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/examples/tutorial_1_WaveBot.ipynb b/examples/tutorial_1_WaveBot.ipynb index 374ba5779..030077bab 100644 --- a/examples/tutorial_1_WaveBot.ipynb +++ b/examples/tutorial_1_WaveBot.ipynb @@ -851,7 +851,7 @@ ], "metadata": { "kernelspec": { - "display_name": "wot-dev", + "display_name": "wot_dev", "language": "python", "name": "python3" }, @@ -865,7 +865,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.7" + "version": "3.11.5" }, "vscode": { "interpreter": { diff --git a/examples/tutorial_3_LUPA.ipynb b/examples/tutorial_3_LUPA.ipynb index 53fbf83a3..065ae977f 100644 --- a/examples/tutorial_3_LUPA.ipynb +++ b/examples/tutorial_3_LUPA.ipynb @@ -1471,7 +1471,7 @@ ], "metadata": { "kernelspec": { - "display_name": "wot-dev", + "display_name": "wot_dev", "language": "python", "name": "python3" }, @@ -1485,7 +1485,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.7" + "version": "3.11.4" }, "vscode": { "interpreter": { From 3c671671eae5335846a843ebe993a4229b209860 Mon Sep 17 00:00:00 2001 From: jtgrasb Date: Mon, 13 May 2024 16:47:04 -0600 Subject: [PATCH 25/30] Add cyipopt to toml file --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index e3b351a0c..34fdb8da7 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -20,13 +20,13 @@ classifiers = [ ] dependencies = [ "numpy>=1.20", - "scipy", "xarray", "autograd", "capytaine", "joblib", "wavespectra>=3.13", "netcdf4", + "cyipopt", ] [project.optional-dependencies] From 4de3f31335447208bdc88a3bdc966371bcc3a80d Mon Sep 17 00:00:00 2001 From: Michael Devin Date: Thu, 16 May 2024 17:11:09 -0600 Subject: [PATCH 26/30] Conda install cyipopt for CI (push) --- .github/workflows/push.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/push.yml b/.github/workflows/push.yml index f8e3d0fee..b8cf805df 100644 --- a/.github/workflows/push.yml +++ b/.github/workflows/push.yml @@ -57,6 +57,7 @@ jobs: echo " - python=${{ matrix.python-version }}" >> environment.yml echo " - capytaine=1.5" >> environment.yml echo " - wavespectra" >> environment.yml + echo " - cyipopt" >> environment.yml cat environment.yml # use the cache if it exists From 0b0b742803b107a6544a09b856e2ac841b7e3768 Mon Sep 17 00:00:00 2001 From: mcdevin Date: Thu, 16 May 2024 17:33:08 -0600 Subject: [PATCH 27/30] conda install cyipopt for documentation --- .github/workflows/push.yml | 1 + .github/workflows/release.yml | 1 + 2 files changed, 2 insertions(+) diff --git a/.github/workflows/push.yml b/.github/workflows/push.yml index b8cf805df..23cfaaa0e 100644 --- a/.github/workflows/push.yml +++ b/.github/workflows/push.yml @@ -136,6 +136,7 @@ jobs: shell: bash -l {0} run: | python3 -m pip install --upgrade pip + mamba install cyipopt pip3 install wheel coveralls pip3 install .[dev,geometry] diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 72a979038..34b384909 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -56,6 +56,7 @@ jobs: shell: bash -l {0} run: | python3 -m pip install --upgrade pip + mamba install cyipopt pip3 install wheel coveralls pip3 install .[dev,geometry] From c8912d06b7cc69617d9d052f9f9f85f145d9d388 Mon Sep 17 00:00:00 2001 From: mcdevin Date: Thu, 16 May 2024 17:33:53 -0600 Subject: [PATCH 28/30] dev WOT install should conda install cyipopt --- .github/CONTRIBUTING.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/.github/CONTRIBUTING.md b/.github/CONTRIBUTING.md index e1ce7f875..60f9cc13d 100644 --- a/.github/CONTRIBUTING.md +++ b/.github/CONTRIBUTING.md @@ -5,14 +5,15 @@ Community contributions are welcomed! 🎊 * It is recommended that you create a *virtual environment*, e.g. using `conda`, `venv`, or similar. * If you want to build the documentation locally you will also need to install [pandoc](https://pandoc.org/installing.html) and [gifsicle](https://github.com/kohler/gifsicle). -* If you do not have Fortran compilers properly setup in your system, install `capytaine` and `wavesspectra` using `conda`. In this case you will need to have a `conda` virtual environment. This is recommended for *Windows* users since compiling `capytaine` on *Windows* requires [extra steps](https://github.com/capytaine/capytaine/issues/115). +* If you do not have Fortran compilers properly setup in your system, install `capytaine` and `wavespectra` using `conda`. In this case you will need to have a `conda` virtual environment. This is recommended for *Windows* users since compiling `capytaine` on *Windows* requires [extra steps](https://github.com/capytaine/capytaine/issues/115). +* Similarly, if you do not have the prerequisites listed [here](https://cyipopt.readthedocs.io/en/stable/install.html#from-source) to install `cyipopt` from source, install it using `conda` as well. * On a ZSH shell (*MacOS*) do `pip install -e .\[dev]` instead of `pip install -e .[dev]` in the instructions below (i.e., escape the opening square bracket). Using `conda` this looks like: ```bash conda create -n wecopttool python=3.11 conda activate wecopttool -conda install -c conda-forge capytaine wavespectra +conda install -c conda-forge capytaine wavespectra cyipopt git clone git@github.com:/WecOptTool.git cd WecOptTool pip install -e .[dev] From dc70638cf3690d49bb7d1fe1c960e3e012933eb0 Mon Sep 17 00:00:00 2001 From: jtgrasb Date: Fri, 17 May 2024 08:34:28 -0600 Subject: [PATCH 29/30] Update tutorial 1 references to cyipopt.minimize_ipopt --- examples/tutorial_1_WaveBot.ipynb | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/examples/tutorial_1_WaveBot.ipynb b/examples/tutorial_1_WaveBot.ipynb index 00d2badb6..b69497292 100644 --- a/examples/tutorial_1_WaveBot.ipynb +++ b/examples/tutorial_1_WaveBot.ipynb @@ -342,7 +342,7 @@ "For example, if the generator drive has a maximal current $I_{max}$ of 10 A, with a generator torque constant $K_t$ of 8 Nm/A and a gear ratio $N$ of 9 rad/m, this results in a max PTO linear force of $F = N K_{t} I_{max} = 9$ rad/m $\\times 8$ Nm $\\times 10$ A $= 720$ N.\n", "\n", "We will enforce the constraint at 4 times more points than the dynamics; see [Theory]((https://sandialabs.github.io/WecOptTool/theory.html)) for why this is helpful for the pseudo-spectral problem.\n", - "The constraints must be in the correct format for `scipy.optimize.minimize`, which is the solver WecOptTool uses. See the documentation for the solver [here](https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.minimize.html) and note the matching syntax of `ineq_cons` below." + "The constraints must be in the correct format for `cyipopt.minimize_ipopt`, which is the solver WecOptTool uses. See the documentation for the solver [here](https://cyipopt.readthedocs.io/en/stable/reference.html#cyipopt.minimize_ipopt) and note the matching syntax of `ineq_cons` below. Note that this is the same syntax as used in old versions of WecOptTool for `scipy.optimize.minimize`." ] }, { @@ -358,7 +358,7 @@ "f_max = 750.0\n", "nsubsteps = 4\n", "\n", - "def const_f_pto(wec, x_wec, x_opt, waves): # Format for scipy.optimize.minimize\n", + "def const_f_pto(wec, x_wec, x_opt, waves): # Format for cyipopt.minimize_ipopt\n", " f = pto.force_on_wec(wec, x_wec, x_opt, waves, nsubsteps)\n", " return f_max - np.abs(f.flatten())\n", "\n", @@ -424,7 +424,7 @@ "metadata": {}, "source": [ "The objective function is itself a function of the optimization state `x_opt`.\n", - "The length of `x_opt`, `nstate_opt`, needs to be properly defined to successfully call `scipy.optimize.minimize`.\n", + "The length of `x_opt`, `nstate_opt`, needs to be properly defined to successfully call `cyipopt.minimize_ipopt`.\n", "In other words, it should match the quantities we are interested in optimizing.\n", "In this case, we are optimizing for the control trajectories of an unstructured PTO, which can be represented in the Fourier domain by the DC (zero frequency) component, then the real and imaginary components for each frequency." ] @@ -453,7 +453,7 @@ "source": [ "### Solve\n", "We are now ready to solve the problem.\n", - "WecOptTool uses `scipy.optimize.minimize` as its optimization driver, which is wrapped into `wecopttool.WEC.solve` for ease of use.\n", + "WecOptTool uses `cyipopt.minimize_ipopt` as its optimization driver, which is wrapped into `wecopttool.WEC.solve` for ease of use.\n", "\n", "The only required inputs for defining and solving the problem are:\n", "\n", @@ -462,9 +462,9 @@ "3. The size of the optimization state (`nstate_opt`)\n", "\n", "Optional inputs can be provided to control the optimization execution if desired, which we do here to change the default iteration maximum and tolerance.\n", - "See the `scipy.optimize.minimize` documentation [here](https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.minimize.html) for more details.\n", + "See the `cyipopt.minimize_ipopt` documentation [here](https://cyipopt.readthedocs.io/en/stable/reference.html#cyipopt.minimize_ipopt) for more details.\n", "\n", - "To help the problem converge faster, we will scale the problem before solving it (see the [Scaling](https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.minimize.html) section of the Theory documentation).\n", + "To help the problem converge faster, we will scale the problem before solving it (see the [Scaling](https://sandialabs.github.io/WecOptTool/theory.html#scaling) section of the Theory documentation).\n", "WecOptTool allows you to scale the WEC dynamics state, the optimization state, and the objective function separately.\n", "See the `wecopttool.WEC.solve` documentation [here](https://sandialabs.github.io/WecOptTool/api_docs/wecopttool.WEC.solve.html#wecopttool-wec-solve).\n", "\n", From 02a71129675a1e1301b23154fb94dac4263a5846 Mon Sep 17 00:00:00 2001 From: mcdevin Date: Fri, 17 May 2024 09:00:57 -0600 Subject: [PATCH 30/30] can now mamba install for WOT documentation build --- .github/workflows/push.yml | 26 +++++++++++++++++++------- .github/workflows/release.yml | 12 +++++++++++- 2 files changed, 30 insertions(+), 8 deletions(-) diff --git a/.github/workflows/push.yml b/.github/workflows/push.yml index 23cfaaa0e..e5e80be91 100644 --- a/.github/workflows/push.yml +++ b/.github/workflows/push.yml @@ -32,13 +32,15 @@ jobs: # - the content of pyproject.toml changes # - you manually change the value of the CACHE_NUMBER below # Else the existing cache is used. - - name: Setup Mambaforge - uses: conda-incubator/setup-miniconda@v2 + - name: Setup Miniforge + uses: conda-incubator/setup-miniconda@v3 with: - miniforge-variant: Mambaforge - miniforge-version: latest - activate-environment: test-env - use-mamba: true + miniforge-version: latest + mamba-version: "*" + python-version: '3.11' + channels: conda-forge + channel-priority: true + activate-environment: test-env # save the date to include in the cache key - name: Get Date @@ -128,6 +130,16 @@ jobs: - uses: actions/setup-python@v4 with: python-version: '3.11' # CHANGE: Python version + + - name: Setup Miniforge + uses: conda-incubator/setup-miniconda@v3 + with: + miniforge-version: latest + mamba-version: "*" + python-version: '3.11' + channels: conda-forge + channel-priority: true + activate-environment: test-env - name: Install dependencies run: sudo apt-get install libglu1 pandoc gifsicle @@ -135,8 +147,8 @@ jobs: - name: Install WecOptTool for documentation shell: bash -l {0} run: | - python3 -m pip install --upgrade pip mamba install cyipopt + python3 -m pip install --upgrade pip pip3 install wheel coveralls pip3 install .[dev,geometry] diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 34b384909..8a7bd0f50 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -49,14 +49,24 @@ jobs: with: python-version: '3.11' + - name: Setup Miniforge + uses: conda-incubator/setup-miniconda@v3 + with: + miniforge-version: latest + mamba-version: "*" + python-version: '3.11' + channels: conda-forge + channel-priority: true + activate-environment: test-env + - name: Install dependencies run: sudo apt-get install libglu1 pandoc gifsicle - name: Install WecOptTool for documentation shell: bash -l {0} run: | - python3 -m pip install --upgrade pip mamba install cyipopt + python3 -m pip install --upgrade pip pip3 install wheel coveralls pip3 install .[dev,geometry]