diff --git a/notebooks/2.1_HDD-throughput-limit.ipynb b/notebooks/2.1_HDD-throughput-limit.ipynb
deleted file mode 100644
index 7a42625..0000000
--- a/notebooks/2.1_HDD-throughput-limit.ipynb
+++ /dev/null
@@ -1,40 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7f6ca63b-47ae-4579-bacc-0fc9c69b8e65",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python3 kernel (default)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.10"
-  },
-  "widgets": {
-   "application/vnd.jupyter.widget-state+json": {
-    "state": {},
-    "version_major": 2,
-    "version_minor": 0
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/notebooks/2.1_Single-file-limit.ipynb b/notebooks/2.1_Single-file-limit.ipynb
new file mode 100644
index 0000000..79b3e9a
--- /dev/null
+++ b/notebooks/2.1_Single-file-limit.ipynb
@@ -0,0 +1,1123 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "77ce1931-6e42-4aab-a8e8-492720d0c162",
+   "metadata": {},
+   "source": [
+    "In this benchmark, we try to achieve the highest throughput (MB/s) while reading a single ROOT file."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "0143b584-30d4-4ad7-9690-954cdc51a74f",
+   "metadata": {
+    "collapsed": true,
+    "jupyter": {
+     "outputs_hidden": true
+    }
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024-02-28 06:52:43,422 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/dask-worker-space/worker-a9mjujb9', purging\n",
+      "2024-02-28 06:52:43,422 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/dask-worker-space/worker-eetrlm8i', purging\n",
+      "2024-02-28 06:52:43,423 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/dask-worker-space/worker-ploug8ah', purging\n",
+      "2024-02-28 06:52:43,423 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/dask-worker-space/worker-6awp5r3r', purging\n",
+      "2024-02-28 06:52:43,423 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/dask-worker-space/worker-v5pq_c61', purging\n",
+      "2024-02-28 06:52:43,423 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/dask-worker-space/worker-mlsq6ebr', purging\n",
+      "2024-02-28 06:52:43,423 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/dask-worker-space/worker-_235356y', purging\n",
+      "2024-02-28 06:52:43,423 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/dask-worker-space/worker-s11bm3t2', purging\n",
+      "2024-02-28 06:52:43,424 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/dask-worker-space/worker-h4lxtivz', purging\n",
+      "2024-02-28 06:52:43,424 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/dask-worker-space/worker-lee9fz8b', purging\n",
+      " 30%|███       | 3/10 [02:57<07:39, 65.71s/it]2024-02-28 06:55:46,979 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:55:48,496 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:55:50,315 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:55:52,287 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:55:55,899 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:55:57,321 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:55:59,332 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:56:01,438 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:56:03,881 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:56:06,883 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:56:09,529 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:56:13,163 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:56:16,047 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:56:17,346 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:56:19,129 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:56:22,841 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:56:25,330 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:56:26,810 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:56:28,257 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:56:31,670 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:56:34,442 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:56:35,680 - distributed.utils_perf - WARNING - full garbage collections took 42% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:56:37,122 - distributed.utils_perf - WARNING - full garbage collections took 42% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:56:40,412 - distributed.utils_perf - WARNING - full garbage collections took 42% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:56:42,770 - distributed.utils_perf - WARNING - full garbage collections took 42% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:56:44,102 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:56:45,966 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:56:49,087 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:56:51,340 - distributed.utils_perf - WARNING - full garbage collections took 42% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:56:54,230 - distributed.utils_perf - WARNING - full garbage collections took 42% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:56:55,528 - distributed.utils_perf - WARNING - full garbage collections took 42% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:56:59,356 - distributed.utils_perf - WARNING - full garbage collections took 43% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:57:01,676 - distributed.utils_perf - WARNING - full garbage collections took 43% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:57:02,996 - distributed.utils_perf - WARNING - full garbage collections took 43% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:57:04,598 - distributed.utils_perf - WARNING - full garbage collections took 43% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:57:07,568 - distributed.utils_perf - WARNING - full garbage collections took 43% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:57:10,699 - distributed.utils_perf - WARNING - full garbage collections took 43% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:57:11,948 - distributed.utils_perf - WARNING - full garbage collections took 43% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:57:13,487 - distributed.utils_perf - WARNING - full garbage collections took 43% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:57:16,855 - distributed.utils_perf - WARNING - full garbage collections took 43% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:57:19,425 - distributed.utils_perf - WARNING - full garbage collections took 43% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:57:21,030 - distributed.utils_perf - WARNING - full garbage collections took 43% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:57:22,658 - distributed.utils_perf - WARNING - full garbage collections took 43% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:57:25,622 - distributed.utils_perf - WARNING - full garbage collections took 43% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:57:28,404 - distributed.utils_perf - WARNING - full garbage collections took 43% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:57:29,865 - distributed.utils_perf - WARNING - full garbage collections took 43% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:57:32,363 - distributed.utils_perf - WARNING - full garbage collections took 42% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:57:34,133 - distributed.utils_perf - WARNING - full garbage collections took 42% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:57:38,044 - distributed.utils_perf - WARNING - full garbage collections took 42% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:57:40,134 - distributed.utils_perf - WARNING - full garbage collections took 42% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:57:42,366 - distributed.utils_perf - WARNING - full garbage collections took 42% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:57:44,111 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:57:47,441 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:57:48,870 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:57:51,130 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:57:52,822 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:57:56,429 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:57:57,581 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      " 40%|████      | 4/10 [05:14<09:22, 93.78s/it]2024-02-28 06:58:01,354 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:02,284 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:03,399 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:04,620 - distributed.utils_perf - WARNING - full garbage collections took 42% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:06,139 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:08,228 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:11,229 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:12,362 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:14,045 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:16,510 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:19,281 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:20,556 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:22,040 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:25,547 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:26,669 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:28,003 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:29,451 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:33,083 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:34,098 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:35,281 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:36,765 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:38,451 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:41,568 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:42,687 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:44,067 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:45,770 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:49,173 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:50,123 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:51,365 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:52,763 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:56,489 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:58,011 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:58:59,470 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:00,800 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:05,037 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:06,345 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:07,629 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:10,747 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:11,630 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:12,831 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:14,307 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:17,272 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:18,800 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:20,126 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:21,536 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:24,393 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:25,815 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:26,891 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:28,313 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:31,537 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:33,001 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:34,081 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:35,319 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:37,084 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:40,767 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:41,796 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:43,413 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:46,455 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:47,403 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:48,555 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:49,740 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:51,200 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:54,944 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:56,232 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 06:59:57,570 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:00,526 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:02,041 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:03,329 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:04,303 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:05,714 - distributed.utils_perf - WARNING - full garbage collections took 33% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:09,972 - distributed.utils_perf - WARNING - full garbage collections took 33% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:11,206 - distributed.utils_perf - WARNING - full garbage collections took 33% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:12,607 - distributed.utils_perf - WARNING - full garbage collections took 33% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:15,501 - distributed.utils_perf - WARNING - full garbage collections took 33% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:16,290 - distributed.utils_perf - WARNING - full garbage collections took 33% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:17,062 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      " 50%|█████     | 5/10 [07:33<09:10, 110.15s/it]2024-02-28 07:00:20,475 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:21,471 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:22,703 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:23,938 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:25,784 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:28,151 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:29,442 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:30,947 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:32,296 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:35,071 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:36,971 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:40,239 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:41,623 - distributed.utils_perf - WARNING - full garbage collections took 27% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:44,713 - distributed.utils_perf - WARNING - full garbage collections took 27% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:45,792 - distributed.utils_perf - WARNING - full garbage collections took 27% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:46,845 - distributed.utils_perf - WARNING - full garbage collections took 26% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:48,476 - distributed.utils_perf - WARNING - full garbage collections took 26% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:50,145 - distributed.utils_perf - WARNING - full garbage collections took 26% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:53,414 - distributed.utils_perf - WARNING - full garbage collections took 27% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:54,831 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:56,350 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:00:58,120 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:01,181 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:02,263 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:04,090 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:07,367 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:08,398 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:09,451 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:10,633 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:12,082 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:15,529 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:16,529 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:17,723 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:19,351 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:22,510 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:23,551 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:24,919 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:26,359 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:29,623 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:30,752 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:32,371 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:33,682 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:36,562 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:37,429 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:38,671 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:40,370 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:41,779 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:45,006 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:46,214 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:47,719 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:49,222 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:52,674 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:53,941 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:54,960 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:01:56,591 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:00,224 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:01,342 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:02,861 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:04,665 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:08,345 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:09,332 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:10,833 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:12,303 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:15,683 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:16,589 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:17,771 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:19,433 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:22,928 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:24,171 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:25,326 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:27,025 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:29,718 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:31,079 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:32,676 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:34,338 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:38,027 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:39,494 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:41,030 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:42,339 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:45,182 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:47,211 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:48,982 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:52,348 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:54,855 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:02:57,377 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:03:00,042 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:03:03,678 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:03:06,147 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:03:08,596 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      " 60%|██████    | 6/10 [10:27<08:46, 131.61s/it]2024-02-28 07:03:15,568 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:03:17,289 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:03:19,376 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:03:21,677 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:03:24,955 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:03:26,540 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:03:28,256 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:03:30,754 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:03:32,837 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:03:35,851 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:03:37,393 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:03:40,939 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:03:42,071 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:03:43,317 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:03:45,068 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:03:48,373 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:03:49,485 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:03:50,887 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:03:52,580 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:03:56,646 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:03:58,004 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:03:59,331 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:01,430 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:04,712 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:05,968 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:07,526 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:10,989 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:12,374 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:13,758 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:15,337 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:18,527 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:19,797 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:21,332 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:22,654 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:26,251 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:27,512 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:28,554 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:30,358 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:33,792 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:35,059 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:36,580 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:38,160 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:42,299 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:43,984 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:45,535 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:48,993 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:50,302 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:51,479 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:53,211 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:57,016 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:58,308 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:04:59,891 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:01,499 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:05,294 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:06,516 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:07,985 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:11,654 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:13,295 - distributed.utils_perf - WARNING - full garbage collections took 27% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:14,903 - distributed.utils_perf - WARNING - full garbage collections took 27% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:17,143 - distributed.utils_perf - WARNING - full garbage collections took 27% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:20,165 - distributed.utils_perf - WARNING - full garbage collections took 27% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:21,295 - distributed.utils_perf - WARNING - full garbage collections took 27% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:22,939 - distributed.utils_perf - WARNING - full garbage collections took 27% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:26,028 - distributed.utils_perf - WARNING - full garbage collections took 27% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:27,274 - distributed.utils_perf - WARNING - full garbage collections took 27% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:28,567 - distributed.utils_perf - WARNING - full garbage collections took 27% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:29,782 - distributed.utils_perf - WARNING - full garbage collections took 27% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:31,335 - distributed.utils_perf - WARNING - full garbage collections took 27% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:35,051 - distributed.utils_perf - WARNING - full garbage collections took 27% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:36,289 - distributed.utils_perf - WARNING - full garbage collections took 27% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:38,000 - distributed.utils_perf - WARNING - full garbage collections took 27% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:40,483 - distributed.utils_perf - WARNING - full garbage collections took 27% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:41,819 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:43,473 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:46,879 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:49,367 - distributed.utils_perf - WARNING - full garbage collections took 26% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:52,438 - distributed.utils_perf - WARNING - full garbage collections took 26% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:54,956 - distributed.utils_perf - WARNING - full garbage collections took 26% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:05:59,200 - distributed.utils_perf - WARNING - full garbage collections took 26% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:06:01,652 - distributed.utils_perf - WARNING - full garbage collections took 25% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:06:05,646 - distributed.utils_perf - WARNING - full garbage collections took 25% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:06:08,093 - distributed.utils_perf - WARNING - full garbage collections took 25% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:06:11,377 - distributed.utils_perf - WARNING - full garbage collections took 25% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:06:13,207 - distributed.utils_perf - WARNING - full garbage collections took 25% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:06:16,206 - distributed.utils_perf - WARNING - full garbage collections took 25% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:06:19,809 - distributed.utils_perf - WARNING - full garbage collections took 25% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:06:21,559 - distributed.utils_perf - WARNING - full garbage collections took 25% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:06:26,677 - distributed.utils_perf - WARNING - full garbage collections took 25% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:06:28,538 - distributed.utils_perf - WARNING - full garbage collections took 25% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:06:32,175 - distributed.utils_perf - WARNING - full garbage collections took 25% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:06:34,874 - distributed.utils_perf - WARNING - full garbage collections took 25% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:06:36,840 - distributed.utils_perf - WARNING - full garbage collections took 25% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:06:38,746 - distributed.utils_perf - WARNING - full garbage collections took 25% CPU time recently (threshold: 10%)\n",
+      " 70%|███████   | 7/10 [13:57<07:52, 157.45s/it]2024-02-28 07:06:46,004 - distributed.utils_perf - WARNING - full garbage collections took 26% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:06:48,118 - distributed.utils_perf - WARNING - full garbage collections took 26% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:06:49,848 - distributed.utils_perf - WARNING - full garbage collections took 26% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:06:52,170 - distributed.utils_perf - WARNING - full garbage collections took 26% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:06:54,911 - distributed.utils_perf - WARNING - full garbage collections took 26% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:06:56,560 - distributed.utils_perf - WARNING - full garbage collections took 26% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:06:58,533 - distributed.utils_perf - WARNING - full garbage collections took 26% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:07:01,407 - distributed.utils_perf - WARNING - full garbage collections took 27% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:07:05,325 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:07:08,141 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:07:12,487 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:07:13,967 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:07:15,947 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:07:18,739 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:07:21,669 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:07:25,885 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:07:28,250 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:07:31,666 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:07:35,459 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:07:37,268 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:07:40,069 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:07:43,797 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:07:45,735 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:07:47,925 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:07:52,149 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:07:54,851 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:07:57,578 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:01,360 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:03,460 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:05,975 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:07,795 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:10,796 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:12,755 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:15,563 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:18,622 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:20,172 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:22,996 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:26,174 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:27,763 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:29,918 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:33,132 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:34,290 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:35,855 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:37,582 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:41,846 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:43,297 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:44,721 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:48,043 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:49,207 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:50,393 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:51,854 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:53,595 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:57,504 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:08:58,532 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:09:00,029 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:09:03,180 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:09:04,222 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:09:05,806 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:09:07,237 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:09:08,936 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:09:12,315 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:09:13,521 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:09:15,021 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:09:17,556 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:09:20,883 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:09:22,247 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:09:24,419 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:09:28,080 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:09:29,526 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:09:31,321 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:09:33,240 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:09:36,080 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:09:39,448 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:09:41,314 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:09:44,336 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:09:47,449 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:09:50,044 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:09:53,068 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:09:55,656 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:09:58,869 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:10:02,263 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:10:05,467 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:10:09,416 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:10:12,192 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:10:15,910 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:10:17,584 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:10:19,904 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:10:23,505 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:10:25,243 - distributed.utils_perf - WARNING - full garbage collections took 28% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:10:27,643 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:10:29,649 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:10:32,454 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:10:35,899 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:10:38,881 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:10:41,730 - distributed.utils_perf - WARNING - full garbage collections took 29% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:10:46,277 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:10:48,382 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:10:51,324 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:10:53,824 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:10:57,297 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:11:00,139 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:11:02,171 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      " 80%|████████  | 8/10 [18:20<06:22, 191.04s/it]2024-02-28 07:11:08,268 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:11:09,520 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:11:10,977 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:11:12,675 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:11:15,101 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:11:18,078 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:11:19,834 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:11:22,190 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:11:25,454 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:11:28,292 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:11:30,141 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:11:32,720 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:11:36,087 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:11:37,814 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:11:40,234 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:11:43,431 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:11:44,793 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:11:46,712 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:11:50,714 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:11:52,024 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:11:53,833 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:11:56,247 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:11:59,697 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:01,063 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:02,867 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:06,444 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:07,776 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:09,262 - distributed.utils_perf - WARNING - full garbage collections took 33% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:11,108 - distributed.utils_perf - WARNING - full garbage collections took 33% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:14,778 - distributed.utils_perf - WARNING - full garbage collections took 33% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:16,035 - distributed.utils_perf - WARNING - full garbage collections took 33% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:17,464 - distributed.utils_perf - WARNING - full garbage collections took 33% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:19,196 - distributed.utils_perf - WARNING - full garbage collections took 33% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:23,355 - distributed.utils_perf - WARNING - full garbage collections took 33% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:24,496 - distributed.utils_perf - WARNING - full garbage collections took 33% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:26,168 - distributed.utils_perf - WARNING - full garbage collections took 33% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:29,730 - distributed.utils_perf - WARNING - full garbage collections took 33% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:30,954 - distributed.utils_perf - WARNING - full garbage collections took 33% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:32,505 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:34,277 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:38,157 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:39,302 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:41,187 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:45,102 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:46,229 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:47,642 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:49,462 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:53,528 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:55,086 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:12:56,923 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:13:00,891 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:13:02,246 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:13:03,945 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:13:07,140 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:13:08,416 - distributed.utils_perf - WARNING - full garbage collections took 33% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:13:09,986 - distributed.utils_perf - WARNING - full garbage collections took 33% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:13:11,807 - distributed.utils_perf - WARNING - full garbage collections took 33% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:13:15,506 - distributed.utils_perf - WARNING - full garbage collections took 33% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:13:16,895 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:13:18,493 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:13:20,652 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:13:23,826 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:13:25,628 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:13:27,470 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:13:31,638 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:13:32,746 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:13:34,435 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:13:37,052 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:13:38,503 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:13:40,523 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:13:43,720 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:13:46,474 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:13:49,079 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:13:51,850 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:13:55,300 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:13:58,223 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:14:01,135 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:14:05,011 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:14:08,243 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:14:12,068 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:14:14,693 - distributed.utils_perf - WARNING - full garbage collections took 30% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:14:18,941 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:14:21,729 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:14:23,647 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:14:26,974 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:14:30,079 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:14:32,533 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:14:34,536 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:14:37,612 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:14:40,988 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:14:44,097 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:14:46,957 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:14:50,522 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:14:54,963 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:14:59,683 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:15:03,846 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:15:05,918 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:15:09,161 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:15:12,548 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:15:14,877 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:15:17,823 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:15:19,901 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:15:23,909 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:15:26,081 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:15:30,362 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:15:34,696 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:15:38,026 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:15:40,235 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:15:44,555 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:15:48,022 - distributed.utils_perf - WARNING - full garbage collections took 32% CPU time recently (threshold: 10%)\n",
+      " 90%|█████████ | 9/10 [23:06<03:40, 220.62s/it]2024-02-28 07:15:53,135 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:15:54,951 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:15:57,372 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:15:59,559 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:16:02,393 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:16:06,132 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:16:07,870 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:16:11,343 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:16:15,280 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:16:17,458 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:16:20,729 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:16:25,587 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:16:28,090 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:16:31,386 - distributed.utils_perf - WARNING - full garbage collections took 33% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:16:36,382 - distributed.utils_perf - WARNING - full garbage collections took 33% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:16:38,741 - distributed.utils_perf - WARNING - full garbage collections took 33% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:16:43,763 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:16:45,401 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:16:47,785 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:16:51,627 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:16:52,943 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:16:54,886 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:16:57,074 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:01,222 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:02,487 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:04,213 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:07,781 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:08,958 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:10,550 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:12,634 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:16,814 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:18,108 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:19,784 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:23,766 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:24,836 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:26,611 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:28,396 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:32,592 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:33,892 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:35,945 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:39,821 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:40,893 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:42,809 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:44,542 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:48,740 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:50,264 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:52,201 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:55,935 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:57,135 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:17:59,173 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:18:02,649 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:18:03,605 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:18:05,325 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:18:07,112 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:18:11,108 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:18:12,404 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:18:14,220 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:18:15,699 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:18:19,945 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:18:21,147 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:18:22,994 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:18:27,162 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:18:28,409 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:18:30,322 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:18:34,377 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:18:35,960 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:18:37,631 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:18:40,267 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:18:44,404 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:18:46,535 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:18:50,080 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:18:53,425 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:18:57,200 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:18:59,626 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:19:03,802 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:19:06,376 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:19:09,350 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:19:13,011 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:19:16,560 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:19:19,467 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:19:22,147 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:19:25,445 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:19:28,490 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:19:31,304 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:19:33,447 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:19:37,172 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:19:41,037 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:19:45,433 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:19:49,784 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:19:53,825 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:19:58,269 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:20:01,040 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:20:04,600 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:20:08,148 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:20:10,626 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:20:14,260 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:20:18,075 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:20:20,461 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:20:22,790 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:20:27,236 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:20:28,817 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:20:30,902 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:20:33,979 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:20:37,576 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:20:40,261 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:20:42,479 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:20:45,889 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:20:48,764 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:20:51,515 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:20:54,203 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:20:57,459 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:21:00,055 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:21:02,945 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:21:06,069 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:21:08,619 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:21:11,846 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:21:14,227 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "100%|██████████| 10/10 [28:32<00:00, 171.26s/it]\n",
+      "  0%|          | 0/10 [00:00<?, ?it/s]2024-02-28 07:21:19,483 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:21:20,801 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:21:22,464 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:21:24,528 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:21:27,099 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:21:30,231 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      " 60%|██████    | 6/10 [05:26<04:35, 68.77s/it]2024-02-28 07:27:32,481 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:27:33,750 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:27:34,887 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:27:36,265 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:27:39,470 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:27:40,308 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:27:41,651 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:27:42,834 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:27:45,742 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:27:46,730 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:27:48,049 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:27:49,317 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:27:52,189 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:27:53,233 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:27:54,073 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:27:55,526 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:27:56,610 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:27:59,231 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:28:01,917 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:28:03,856 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:28:05,299 - distributed.utils_perf - WARNING - full garbage collections took 35% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:28:06,755 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:28:11,071 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:28:12,355 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:28:13,952 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:28:16,542 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:28:18,777 - distributed.utils_perf - WARNING - full garbage collections took 34% CPU time recently (threshold: 10%)\n",
+      " 70%|███████   | 7/10 [07:06<03:56, 78.75s/it]2024-02-28 07:28:30,648 - distributed.utils_perf - WARNING - full garbage collections took 42% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:28:32,465 - distributed.utils_perf - WARNING - full garbage collections took 42% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:28:34,971 - distributed.utils_perf - WARNING - full garbage collections took 42% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:28:36,052 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:28:37,434 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:28:39,123 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:28:41,499 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:28:44,524 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:28:46,695 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:28:48,266 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:28:50,736 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:28:52,440 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:28:55,585 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:28:56,936 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:28:59,394 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:01,030 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:03,775 - distributed.utils_perf - WARNING - full garbage collections took 42% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:05,841 - distributed.utils_perf - WARNING - full garbage collections took 42% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:09,165 - distributed.utils_perf - WARNING - full garbage collections took 42% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:10,531 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:11,670 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:13,042 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:16,585 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:18,423 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:19,562 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:21,142 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:24,307 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:25,501 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:26,821 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:28,269 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:29,489 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:33,018 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:34,429 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:35,459 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:37,165 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:39,638 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:42,116 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:43,423 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:45,445 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:48,507 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:50,795 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:53,031 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:55,744 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:29:58,266 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:00,469 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:01,976 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:04,287 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:05,739 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:07,834 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:10,524 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:12,818 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:14,461 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:16,466 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:16,783 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:19,066 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:19,445 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:21,016 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      " 80%|████████  | 8/10 [09:05<03:03, 91.73s/it]2024-02-28 07:30:25,921 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:27,000 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:28,440 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:30,162 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:32,296 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:35,093 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:36,242 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:37,687 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:39,705 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:41,887 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:44,650 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:46,128 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:48,303 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:49,845 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:52,586 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:54,162 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:56,184 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:30:58,944 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:00,141 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:01,618 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:03,558 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:05,486 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:08,404 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:09,612 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:11,625 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:13,801 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:16,324 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:17,782 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:19,883 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:23,196 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:24,294 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:25,508 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:26,871 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:28,566 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:31,204 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:32,733 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:34,810 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:36,818 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:40,422 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:41,628 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:43,018 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:44,276 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:47,616 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:49,954 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:51,910 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:53,945 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:56,483 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:31:59,235 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:01,336 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:02,711 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:04,413 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:07,221 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:08,828 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:10,731 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:13,691 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:15,024 - distributed.utils_perf - WARNING - full garbage collections took 47% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:15,313 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:16,808 - distributed.utils_perf - WARNING - full garbage collections took 47% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:17,794 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:19,626 - distributed.utils_perf - WARNING - full garbage collections took 47% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:20,373 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:21,455 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:21,991 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:23,076 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:24,639 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:25,249 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:26,636 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:28,122 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:28,670 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:30,092 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:30,416 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:31,523 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:32,283 - distributed.utils_perf - WARNING - full garbage collections took 47% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:33,724 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:34,224 - distributed.utils_perf - WARNING - full garbage collections took 47% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:35,908 - distributed.utils_perf - WARNING - full garbage collections took 47% CPU time recently (threshold: 10%)\n",
+      " 90%|█████████ | 9/10 [11:20<01:45, 105.15s/it]2024-02-28 07:32:41,404 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:42,574 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:44,110 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:46,096 - distributed.utils_perf - WARNING - full garbage collections took 45% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:48,512 - distributed.utils_perf - WARNING - full garbage collections took 45% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:49,595 - distributed.utils_perf - WARNING - full garbage collections took 45% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:50,859 - distributed.utils_perf - WARNING - full garbage collections took 45% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:52,377 - distributed.utils_perf - WARNING - full garbage collections took 45% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:54,450 - distributed.utils_perf - WARNING - full garbage collections took 45% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:32:58,012 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:00,178 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:01,757 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:04,429 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:06,426 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:09,091 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:10,955 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:13,524 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:15,873 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:17,315 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:19,401 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:20,929 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:23,301 - distributed.utils_perf - WARNING - full garbage collections took 45% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:24,642 - distributed.utils_perf - WARNING - full garbage collections took 45% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:26,714 - distributed.utils_perf - WARNING - full garbage collections took 45% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:28,100 - distributed.utils_perf - WARNING - full garbage collections took 45% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:30,203 - distributed.utils_perf - WARNING - full garbage collections took 45% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:31,835 - distributed.utils_perf - WARNING - full garbage collections took 44% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:33,626 - distributed.utils_perf - WARNING - full garbage collections took 45% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:36,133 - distributed.utils_perf - WARNING - full garbage collections took 45% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:38,304 - distributed.utils_perf - WARNING - full garbage collections took 45% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:40,090 - distributed.utils_perf - WARNING - full garbage collections took 45% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:43,447 - distributed.utils_perf - WARNING - full garbage collections took 45% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:44,541 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:45,471 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:47,029 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:50,057 - distributed.utils_perf - WARNING - full garbage collections took 45% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:51,457 - distributed.utils_perf - WARNING - full garbage collections took 45% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:52,376 - distributed.utils_perf - WARNING - full garbage collections took 45% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:53,552 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:55,018 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:33:57,376 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:00,494 - distributed.utils_perf - WARNING - full garbage collections took 47% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:02,408 - distributed.utils_perf - WARNING - full garbage collections took 45% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:04,933 - distributed.utils_perf - WARNING - full garbage collections took 45% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:08,017 - distributed.utils_perf - WARNING - full garbage collections took 45% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:09,648 - distributed.utils_perf - WARNING - full garbage collections took 45% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:12,238 - distributed.utils_perf - WARNING - full garbage collections took 45% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:13,667 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:16,519 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:18,933 - distributed.utils_perf - WARNING - full garbage collections took 46% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:21,053 - distributed.utils_perf - WARNING - full garbage collections took 43% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:22,603 - distributed.utils_perf - WARNING - full garbage collections took 43% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:25,742 - distributed.utils_perf - WARNING - full garbage collections took 43% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:27,341 - distributed.utils_perf - WARNING - full garbage collections took 43% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:30,023 - distributed.utils_perf - WARNING - full garbage collections took 43% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:31,579 - distributed.utils_perf - WARNING - full garbage collections took 42% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:34,157 - distributed.utils_perf - WARNING - full garbage collections took 42% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:35,649 - distributed.utils_perf - WARNING - full garbage collections took 42% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:38,379 - distributed.utils_perf - WARNING - full garbage collections took 42% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:40,630 - distributed.utils_perf - WARNING - full garbage collections took 42% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:41,981 - distributed.utils_perf - WARNING - full garbage collections took 42% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:44,104 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:45,484 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:47,935 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:49,171 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:49,747 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:49,986 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:51,093 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:52,426 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:52,466 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:54,207 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:54,215 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:56,974 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:57,491 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:34:58,772 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:35:00,182 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:35:01,388 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:35:02,565 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "100%|██████████| 10/10 [13:47<00:00, 82.71s/it] \n",
+      "  0%|          | 0/10 [00:00<?, ?it/s]2024-02-28 07:35:07,614 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:35:08,735 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:35:10,211 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:35:11,427 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:35:13,474 - distributed.utils_perf - WARNING - full garbage collections took 31% CPU time recently (threshold: 10%)\n",
+      " 70%|███████   | 7/10 [04:50<02:41, 53.85s/it]2024-02-28 07:40:53,550 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:40:55,017 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:40:56,619 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:40:58,654 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:41:01,136 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:41:03,592 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:41:04,946 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:41:07,415 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:41:09,927 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:41:11,748 - distributed.utils_perf - WARNING - full garbage collections took 36% CPU time recently (threshold: 10%)\n",
+      " 80%|████████  | 8/10 [06:09<02:03, 61.94s/it]2024-02-28 07:42:39,993 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:42:44,625 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:42:45,258 - distributed.utils_perf - WARNING - full garbage collections took 40% CPU time recently (threshold: 10%)\n",
+      " 90%|█████████ | 9/10 [07:42<01:11, 71.56s/it]2024-02-28 07:43:24,953 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:43:25,992 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:43:27,274 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:43:29,403 - distributed.utils_perf - WARNING - full garbage collections took 39% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:43:33,232 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:43:34,589 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:43:36,217 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:43:38,115 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:43:40,690 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:43:42,070 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:43:44,209 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:43:46,661 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:43:50,253 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:43:52,219 - distributed.utils_perf - WARNING - full garbage collections took 41% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:43:55,046 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:43:56,921 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:43:59,069 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:44:01,645 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:44:04,584 - distributed.utils_perf - WARNING - full garbage collections took 37% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:44:07,401 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:44:09,041 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:44:10,952 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:44:14,038 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:44:15,488 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:44:18,204 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:44:20,102 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:44:22,339 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "2024-02-28 07:44:24,778 - distributed.utils_perf - WARNING - full garbage collections took 38% CPU time recently (threshold: 10%)\n",
+      "100%|██████████| 10/10 [09:24<00:00, 56.45s/it]\n",
+      "100%|██████████| 10/10 [07:32<00:00, 45.25s/it]\n",
+      "100%|██████████| 10/10 [06:12<00:00, 37.28s/it]\n",
+      "100%|██████████| 10/10 [05:25<00:00, 32.58s/it]\n",
+      "100%|██████████| 10/10 [04:47<00:00, 28.77s/it]\n",
+      "100%|██████████| 10/10 [04:21<00:00, 26.15s/it]\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os, sys\n",
+    "sys.path.append(os.getcwd()+\"/../af_benchmark\")\n",
+    "from benchmark import Benchmark, run_benchmark\n",
+    "import numpy as np\n",
+    "import tqdm\n",
+    "import time\n",
+    "from dask_gateway import Gateway\n",
+    "\n",
+    "# nworkers_options = [1]\n",
+    "# nworkers_options = [60,50,40,30,20,10]\n",
+    "nworkers_options = [1,2,3,4,5,6,7,8]\n",
+    "col_num_options = [30,60,90,120,150,180,210,240,270,300]\n",
+    "# nworkers_options = [8]\n",
+    "# col_num_options = [1200]\n",
+    "\n",
+    "b = Benchmark(\"config_2.1.yaml\")\n",
+    "for nworkers in nworkers_options:\n",
+    "    for col_num in tqdm.tqdm(col_num_options):\n",
+    "        b.config[\"executor\"][\"n_workers\"] = int(nworkers)\n",
+    "        b.config[\"processor\"][\"columns\"] = int(col_num)\n",
+    "        b.reset(keep_cluster=True, reset_workers=True)\n",
+    "        b.run()\n",
+    "        b.update_report()\n",
+    "\n",
+    "report = b.report_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7e62ecec-8215-4d34-aaaa-a041a64e0606",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "report"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "c0a788da-d160-4c81-95ea-150ef4d9a85e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "report[\"MB/s (compressed)\"] = report.compressed_bytes/report.process_columns/(1024*1024)\n",
+    "\n",
+    "report_by_ncols = report.groupby('n_columns_read')\n",
+    "\n",
+    "plt.figure(figsize=(8, 6))\n",
+    "for ncols, group in report_by_ncols:\n",
+    "    plt.plot(group.n_workers, group[\"MB/s (compressed)\"], label=f\"{ncols} columns\")\n",
+    "\n",
+    "plt.xlabel('# workers')\n",
+    "plt.ylabel('MB/s')\n",
+    "plt.legend()\n",
+    "plt.xlim(0, report.n_workers.max()+5)\n",
+    "plt.ylim(0, report['MB/s (compressed)'].max() + 5)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "5c910b46-1d00-493a-899b-cea1d968fa3c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(8, 6))\n",
+    "for ncols, group in report_by_ncols:\n",
+    "    plt.plot(group.n_workers, group.process_columns, label=f\"{ncols} columns\")\n",
+    "\n",
+    "plt.xlabel('# workers')\n",
+    "plt.ylabel('Time (s)')\n",
+    "plt.legend()\n",
+    "plt.xlim(0, report.n_workers.max()+5)\n",
+    "plt.ylim(0, report.run.max() + 5)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0df24f63-e64e-4bc8-bb71-bb0007039591",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python3 kernel (default)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.10"
+  },
+  "widgets": {
+   "application/vnd.jupyter.widget-state+json": {
+    "state": {},
+    "version_major": 2,
+    "version_minor": 0
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/config_2.1.yaml b/notebooks/config_2.1.yaml
new file mode 100644
index 0000000..b9b085d
--- /dev/null
+++ b/notebooks/config_2.1.yaml
@@ -0,0 +1,15 @@
+executor:
+  # backend: dask-gateway
+  backend: dask-local
+  # backend: sequential
+  n_workers: 4
+data-access:
+  mode: local
+  files: 
+    # - root://eos.cms.rcac.purdue.edu//store/data/Run2016B/SingleMuon/NANOAOD/02Apr2020_ver2-v1/20000/90322FC2-4027-0E47-92E4-22307EC8EAD2.root
+    - /eos/purdue/store/data/Run2016B/SingleMuon/NANOAOD/02Apr2020_ver2-v1/20000/90322FC2-4027-0E47-92E4-22307EC8EAD2.root
+
+processor:
+  parallelize_over: columns
+  columns: 10
+  operation: load_into_memory