From 2a6e66c2d5d2cc9552d8ce963e60d5882b5bc17a Mon Sep 17 00:00:00 2001
From: Mikolaj Rybinski <mikolaj.rybinski@id.ethz.ch>
Date: Fri, 19 Feb 2021 18:22:34 +0100
Subject: [PATCH] In pipelines: use os.path.relpath instead of prefix length
indexing
---
...ines_and_hyperparameter_optimization.ipynb | 325 +++++++++---------
1 file changed, 162 insertions(+), 163 deletions(-)
diff --git a/05_preprocessing_pipelines_and_hyperparameter_optimization.ipynb b/05_preprocessing_pipelines_and_hyperparameter_optimization.ipynb
index f1362e1..1359814 100644
--- a/05_preprocessing_pipelines_and_hyperparameter_optimization.ipynb
+++ b/05_preprocessing_pipelines_and_hyperparameter_optimization.ipynb
@@ -5,11 +5,11 @@
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+ "iopub.execute_input": "2021-02-19T17:20:44.222022Z",
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+ "shell.execute_reply.started": "2021-02-19T17:20:44.221973Z"
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"outputs": [
@@ -258,11 +258,11 @@
"execution_count": 2,
"metadata": {
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- "shell.execute_reply": "2021-02-19T14:34:44.429930Z",
- "shell.execute_reply.started": "2021-02-19T14:34:44.425765Z"
+ "iopub.execute_input": "2021-02-19T17:20:44.615423Z",
+ "iopub.status.busy": "2021-02-19T17:20:44.615231Z",
+ "iopub.status.idle": "2021-02-19T17:20:44.619778Z",
+ "shell.execute_reply": "2021-02-19T17:20:44.619227Z",
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"outputs": [
@@ -326,11 +326,11 @@
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"metadata": {
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- "shell.execute_reply": "2021-02-19T14:34:44.434793Z",
- "shell.execute_reply.started": "2021-02-19T14:34:44.431685Z"
+ "iopub.execute_input": "2021-02-19T17:20:44.620697Z",
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@@ -362,11 +362,11 @@
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"metadata": {
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- "shell.execute_reply.started": "2021-02-19T14:34:44.437183Z"
+ "iopub.execute_input": "2021-02-19T17:20:44.626447Z",
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@@ -392,11 +392,11 @@
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"metadata": {
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+ "iopub.execute_input": "2021-02-19T17:20:44.632033Z",
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@@ -427,11 +427,11 @@
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@@ -562,11 +562,11 @@
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@@ -594,11 +594,11 @@
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@@ -628,11 +628,11 @@
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@@ -689,19 +689,19 @@
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- " ('standardscaler', StandardScaler()), ('svc', SVC())])</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"60749fd2-90b4-4243-a546-57cbfa98ac70\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"60749fd2-90b4-4243-a546-57cbfa98ac70\">PCA</label><div class=\"sk-toggleable__content\"><pre>PCA(n_components=3)</pre></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"e30e11de-3812-4e87-bd96-473987e65737\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"e30e11de-3812-4e87-bd96-473987e65737\">StandardScaler</label><div class=\"sk-toggleable__content\"><pre>StandardScaler()</pre></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"a8621518-8652-4d43-b64f-38d395493043\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"a8621518-8652-4d43-b64f-38d395493043\">SVC</label><div class=\"sk-toggleable__content\"><pre>SVC()</pre></div></div></div></div></div></div></div>"
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+ " ('standardscaler', StandardScaler()), ('svc', SVC())])</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"18902f43-03fc-4de9-9642-f3b88dfd68f7\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"18902f43-03fc-4de9-9642-f3b88dfd68f7\">PCA</label><div class=\"sk-toggleable__content\"><pre>PCA(n_components=3)</pre></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"757276f5-9ac6-4ce7-bfdb-be8b8b34fa03\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"757276f5-9ac6-4ce7-bfdb-be8b8b34fa03\">StandardScaler</label><div class=\"sk-toggleable__content\"><pre>StandardScaler()</pre></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"bd638d3b-67bb-4185-8bff-9cf988b0123b\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"bd638d3b-67bb-4185-8bff-9cf988b0123b\">SVC</label><div class=\"sk-toggleable__content\"><pre>SVC()</pre></div></div></div></div></div></div></div>"
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@@ -736,11 +736,11 @@
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@@ -805,11 +805,11 @@
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@@ -858,11 +858,11 @@
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@@ -932,11 +932,11 @@
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+ "iopub.execute_input": "2021-02-19T17:20:46.637054Z",
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@@ -978,7 +978,7 @@
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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 720x504 with 4 Axes>"
]
@@ -1091,11 +1091,11 @@
"execution_count": 15,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-02-19T14:34:52.593155Z",
- "iopub.status.busy": "2021-02-19T14:34:52.592910Z",
- "iopub.status.idle": "2021-02-19T14:34:52.607155Z",
- "shell.execute_reply": "2021-02-19T14:34:52.606488Z",
- "shell.execute_reply.started": "2021-02-19T14:34:52.593104Z"
+ "iopub.execute_input": "2021-02-19T17:20:53.066775Z",
+ "iopub.status.busy": "2021-02-19T17:20:53.066555Z",
+ "iopub.status.idle": "2021-02-19T17:20:53.080483Z",
+ "shell.execute_reply": "2021-02-19T17:20:53.079797Z",
+ "shell.execute_reply.started": "2021-02-19T17:20:53.066751Z"
}
},
"outputs": [
@@ -1144,11 +1144,11 @@
"execution_count": 16,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-02-19T14:34:52.608426Z",
- "iopub.status.busy": "2021-02-19T14:34:52.608257Z",
- "iopub.status.idle": "2021-02-19T14:34:52.612395Z",
- "shell.execute_reply": "2021-02-19T14:34:52.611596Z",
- "shell.execute_reply.started": "2021-02-19T14:34:52.608406Z"
+ "iopub.execute_input": "2021-02-19T17:20:53.081705Z",
+ "iopub.status.busy": "2021-02-19T17:20:53.081533Z",
+ "iopub.status.idle": "2021-02-19T17:20:53.085815Z",
+ "shell.execute_reply": "2021-02-19T17:20:53.085151Z",
+ "shell.execute_reply.started": "2021-02-19T17:20:53.081685Z"
}
},
"outputs": [
@@ -1186,11 +1186,11 @@
"execution_count": 17,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-02-19T14:34:52.613564Z",
- "iopub.status.busy": "2021-02-19T14:34:52.613336Z",
- "iopub.status.idle": "2021-02-19T14:34:52.649453Z",
- "shell.execute_reply": "2021-02-19T14:34:52.648856Z",
- "shell.execute_reply.started": "2021-02-19T14:34:52.613541Z"
+ "iopub.execute_input": "2021-02-19T17:20:53.087337Z",
+ "iopub.status.busy": "2021-02-19T17:20:53.086998Z",
+ "iopub.status.idle": "2021-02-19T17:20:53.126092Z",
+ "shell.execute_reply": "2021-02-19T17:20:53.125186Z",
+ "shell.execute_reply.started": "2021-02-19T17:20:53.087312Z"
}
},
"outputs": [
@@ -1198,7 +1198,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Caching to directory: /var/folders/tx/tp1pccjd5bzcrbbxkwcwt2v40000gn/T/tmp53qbmqjx\n",
+ "Caching to directory: /var/folders/tx/tp1pccjd5bzcrbbxkwcwt2v40000gn/T/tmpfimbtazm\n",
"Files before fit:\n",
"[]\n",
"\n",
@@ -1221,9 +1221,8 @@
"\n",
"# Utility function to recursively get file names in a folder.\n",
"def get_fns_rec(path):\n",
- " n_pref = len(path)+1 # +1 for os.path.sep\n",
" for f in glob.glob(f\"{path}/**/*.*\", recursive=True):\n",
- " yield f[n_pref:] # in 3.9: f.removeprefix(path).lstrip(os.path.sep)\n",
+ " yield os.path.relpath(f, path)\n",
"\n",
"\n",
"tempdir = tempfile.mkdtemp()\n",
@@ -1259,11 +1258,11 @@
"execution_count": 18,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-02-19T14:34:52.650962Z",
- "iopub.status.busy": "2021-02-19T14:34:52.650657Z",
- "iopub.status.idle": "2021-02-19T14:34:52.694077Z",
- "shell.execute_reply": "2021-02-19T14:34:52.693377Z",
- "shell.execute_reply.started": "2021-02-19T14:34:52.650938Z"
+ "iopub.execute_input": "2021-02-19T17:20:53.127499Z",
+ "iopub.status.busy": "2021-02-19T17:20:53.127281Z",
+ "iopub.status.idle": "2021-02-19T17:20:53.182672Z",
+ "shell.execute_reply": "2021-02-19T17:20:53.181898Z",
+ "shell.execute_reply.started": "2021-02-19T17:20:53.127478Z"
}
},
"outputs": [
@@ -1343,11 +1342,11 @@
"execution_count": 19,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-02-19T14:34:52.695655Z",
- "iopub.status.busy": "2021-02-19T14:34:52.695374Z",
- "iopub.status.idle": "2021-02-19T14:34:52.979082Z",
- "shell.execute_reply": "2021-02-19T14:34:52.978528Z",
- "shell.execute_reply.started": "2021-02-19T14:34:52.695631Z"
+ "iopub.execute_input": "2021-02-19T17:20:53.184367Z",
+ "iopub.status.busy": "2021-02-19T17:20:53.184114Z",
+ "iopub.status.idle": "2021-02-19T17:20:53.508673Z",
+ "shell.execute_reply": "2021-02-19T17:20:53.507991Z",
+ "shell.execute_reply.started": "2021-02-19T17:20:53.184344Z"
}
},
"outputs": [
@@ -1398,11 +1397,11 @@
"execution_count": 20,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-02-19T14:34:52.980405Z",
- "iopub.status.busy": "2021-02-19T14:34:52.980225Z",
- "iopub.status.idle": "2021-02-19T14:34:52.984523Z",
- "shell.execute_reply": "2021-02-19T14:34:52.983905Z",
- "shell.execute_reply.started": "2021-02-19T14:34:52.980381Z"
+ "iopub.execute_input": "2021-02-19T17:20:53.509941Z",
+ "iopub.status.busy": "2021-02-19T17:20:53.509765Z",
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+ "shell.execute_reply.started": "2021-02-19T17:20:53.509922Z"
}
},
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@@ -1442,11 +1441,11 @@
"execution_count": 21,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-02-19T14:34:52.985584Z",
- "iopub.status.busy": "2021-02-19T14:34:52.985436Z",
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- "shell.execute_reply": "2021-02-19T14:34:52.988098Z",
- "shell.execute_reply.started": "2021-02-19T14:34:52.985565Z"
+ "iopub.execute_input": "2021-02-19T17:20:53.514930Z",
+ "iopub.status.busy": "2021-02-19T17:20:53.514790Z",
+ "iopub.status.idle": "2021-02-19T17:20:53.518014Z",
+ "shell.execute_reply": "2021-02-19T17:20:53.517411Z",
+ "shell.execute_reply.started": "2021-02-19T17:20:53.514911Z"
}
},
"outputs": [],
@@ -1473,11 +1472,11 @@
"execution_count": 22,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-02-19T14:34:52.989893Z",
- "iopub.status.busy": "2021-02-19T14:34:52.989715Z",
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- "shell.execute_reply": "2021-02-19T14:35:05.716573Z",
- "shell.execute_reply.started": "2021-02-19T14:34:52.989863Z"
+ "iopub.execute_input": "2021-02-19T17:20:53.519247Z",
+ "iopub.status.busy": "2021-02-19T17:20:53.519065Z",
+ "iopub.status.idle": "2021-02-19T17:21:07.083263Z",
+ "shell.execute_reply": "2021-02-19T17:21:07.082259Z",
+ "shell.execute_reply.started": "2021-02-19T17:20:53.519223Z"
}
},
"outputs": [
@@ -1515,11 +1514,11 @@
"execution_count": 23,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-02-19T14:35:05.719248Z",
- "iopub.status.busy": "2021-02-19T14:35:05.718995Z",
- "iopub.status.idle": "2021-02-19T14:35:18.161892Z",
- "shell.execute_reply": "2021-02-19T14:35:18.161171Z",
- "shell.execute_reply.started": "2021-02-19T14:35:05.719211Z"
+ "iopub.execute_input": "2021-02-19T17:21:07.085523Z",
+ "iopub.status.busy": "2021-02-19T17:21:07.085282Z",
+ "iopub.status.idle": "2021-02-19T17:21:19.883681Z",
+ "shell.execute_reply": "2021-02-19T17:21:19.882667Z",
+ "shell.execute_reply.started": "2021-02-19T17:21:07.085484Z"
}
},
"outputs": [
@@ -1527,8 +1526,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "CPU times: user 208 ms, sys: 8.74 ms, total: 216 ms\n",
- "Wall time: 12.4 s\n",
+ "CPU times: user 211 ms, sys: 8.42 ms, total: 220 ms\n",
+ "Wall time: 12.8 s\n",
"Best parameter (CV score=0.982):\n",
"{'clf__C': 100, 'poly__degree': 2, 'scale__with_mean': True, 'scale__with_std': False}\n"
]
@@ -1580,11 +1579,11 @@
"execution_count": 24,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-02-19T14:35:18.163128Z",
- "iopub.status.busy": "2021-02-19T14:35:18.162884Z",
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- "shell.execute_reply": "2021-02-19T14:35:18.167958Z",
- "shell.execute_reply.started": "2021-02-19T14:35:18.163106Z"
+ "iopub.execute_input": "2021-02-19T17:21:19.891657Z",
+ "iopub.status.busy": "2021-02-19T17:21:19.891391Z",
+ "iopub.status.idle": "2021-02-19T17:21:19.897565Z",
+ "shell.execute_reply": "2021-02-19T17:21:19.896576Z",
+ "shell.execute_reply.started": "2021-02-19T17:21:19.891627Z"
}
},
"outputs": [],
@@ -1611,11 +1610,11 @@
"execution_count": 25,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-02-19T14:35:18.176488Z",
- "iopub.status.busy": "2021-02-19T14:35:18.176243Z",
- "iopub.status.idle": "2021-02-19T14:35:19.637241Z",
- "shell.execute_reply": "2021-02-19T14:35:19.636681Z",
- "shell.execute_reply.started": "2021-02-19T14:35:18.176465Z"
+ "iopub.execute_input": "2021-02-19T17:21:19.899838Z",
+ "iopub.status.busy": "2021-02-19T17:21:19.899597Z",
+ "iopub.status.idle": "2021-02-19T17:21:21.435804Z",
+ "shell.execute_reply": "2021-02-19T17:21:21.434770Z",
+ "shell.execute_reply.started": "2021-02-19T17:21:19.899808Z"
},
"scrolled": true
},
@@ -1624,8 +1623,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "CPU times: user 181 ms, sys: 7.29 ms, total: 188 ms\n",
- "Wall time: 1.46 s\n",
+ "CPU times: user 184 ms, sys: 7.77 ms, total: 192 ms\n",
+ "Wall time: 1.53 s\n",
"Best parameter (CV score=0.982):\n",
"{'clf__C': 75.79479953347995, 'poly__degree': 2, 'scale__with_mean': False, 'scale__with_std': False}\n"
]
@@ -1672,11 +1671,11 @@
"execution_count": 26,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-02-19T14:35:19.639109Z",
- "iopub.status.busy": "2021-02-19T14:35:19.638875Z",
- "iopub.status.idle": "2021-02-19T14:35:19.648733Z",
- "shell.execute_reply": "2021-02-19T14:35:19.648131Z",
- "shell.execute_reply.started": "2021-02-19T14:35:19.639086Z"
+ "iopub.execute_input": "2021-02-19T17:21:21.437911Z",
+ "iopub.status.busy": "2021-02-19T17:21:21.437387Z",
+ "iopub.status.idle": "2021-02-19T17:21:21.452469Z",
+ "shell.execute_reply": "2021-02-19T17:21:21.451429Z",
+ "shell.execute_reply.started": "2021-02-19T17:21:21.437888Z"
}
},
"outputs": [
@@ -1685,7 +1684,7 @@
"output_type": "stream",
"text": [
"Best estimator:\n",
- "Pipeline(memory='/var/folders/tx/tp1pccjd5bzcrbbxkwcwt2v40000gn/T/tmp5andhr4r',\n",
+ "Pipeline(memory='/var/folders/tx/tp1pccjd5bzcrbbxkwcwt2v40000gn/T/tmp1b6guogr',\n",
" steps=[('poly', PolynomialFeatures()),\n",
" ('scale', StandardScaler(with_mean=False, with_std=False)),\n",
" ('clf',\n",
@@ -1718,11 +1717,11 @@
"execution_count": 27,
"metadata": {
"execution": {
- "iopub.execute_input": "2021-02-19T14:35:19.649968Z",
- "iopub.status.busy": "2021-02-19T14:35:19.649802Z",
- "iopub.status.idle": "2021-02-19T14:35:26.552239Z",
- "shell.execute_reply": "2021-02-19T14:35:26.551495Z",
- "shell.execute_reply.started": "2021-02-19T14:35:19.649948Z"
+ "iopub.execute_input": "2021-02-19T17:21:21.454381Z",
+ "iopub.status.busy": "2021-02-19T17:21:21.454088Z",
+ "iopub.status.idle": "2021-02-19T17:21:28.779578Z",
+ "shell.execute_reply": "2021-02-19T17:21:28.778849Z",
+ "shell.execute_reply.started": "2021-02-19T17:21:21.454355Z"
}
},
"outputs": [
@@ -1730,8 +1729,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "CPU times: user 441 ms, sys: 29.7 ms, total: 471 ms\n",
- "Wall time: 6.89 s\n",
+ "CPU times: user 486 ms, sys: 34.1 ms, total: 520 ms\n",
+ "Wall time: 7.32 s\n",
"Best parameter (CV score=0.993):\n",
"{'clf__C': 10, 'poly__degree': 4, 'scale__with_mean': True, 'scale__with_std': True}\n"
]
@@ -1775,11 +1774,11 @@
"execution_count": 28,
"metadata": {
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- "iopub.status.busy": "2021-02-19T14:35:26.553561Z",
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- "shell.execute_reply": "2021-02-19T14:35:28.603110Z",
- "shell.execute_reply.started": "2021-02-19T14:35:26.553857Z"
+ "iopub.execute_input": "2021-02-19T17:21:28.781187Z",
+ "iopub.status.busy": "2021-02-19T17:21:28.780950Z",
+ "iopub.status.idle": "2021-02-19T17:21:31.109535Z",
+ "shell.execute_reply": "2021-02-19T17:21:31.108781Z",
+ "shell.execute_reply.started": "2021-02-19T17:21:28.781168Z"
},
"tags": [
"solution"
@@ -1877,11 +1876,11 @@
"execution_count": 29,
"metadata": {
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- "iopub.execute_input": "2021-02-19T14:35:28.605976Z",
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- "shell.execute_reply": "2021-02-19T14:35:28.923599Z",
- "shell.execute_reply.started": "2021-02-19T14:35:28.605940Z"
+ "iopub.execute_input": "2021-02-19T17:21:31.111157Z",
+ "iopub.status.busy": "2021-02-19T17:21:31.110822Z",
+ "iopub.status.idle": "2021-02-19T17:21:31.448610Z",
+ "shell.execute_reply": "2021-02-19T17:21:31.447529Z",
+ "shell.execute_reply.started": "2021-02-19T17:21:31.111124Z"
},
"tags": [
"solution"
@@ -1952,11 +1951,11 @@
"execution_count": 30,
"metadata": {
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- "shell.execute_reply": "2021-02-19T14:35:34.354197Z",
- "shell.execute_reply.started": "2021-02-19T14:35:28.925783Z"
+ "iopub.execute_input": "2021-02-19T17:21:31.450713Z",
+ "iopub.status.busy": "2021-02-19T17:21:31.450444Z",
+ "iopub.status.idle": "2021-02-19T17:21:36.914931Z",
+ "shell.execute_reply": "2021-02-19T17:21:36.914016Z",
+ "shell.execute_reply.started": "2021-02-19T17:21:31.450659Z"
},
"tags": [
"solution"
--
GitLab