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This commit is contained in:
D Fournier committed
1 parent
6f508b0d27
commit
45a5ab556e
1 file changed
+24
-46
@@ -100,7 +100,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"execution_count": 25,
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"metadata": {
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"collapsed": false,
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"scrolled": true
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@@ -119,9 +119,9 @@
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"# Create a mesh\n",
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"dx = 5.\n",
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"\n",
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"hxind = [(dx, 20)]\n",
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"hyind = [(dx, 20)]\n",
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"hzind = [(5, 10)]\n",
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"hxind = [(dx,5,-1.3), (dx, 20), (dx,5,1.3)]\n",
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"hyind = [(dx,5,-1.3), (dx, 20), (dx,5,1.3)]\n",
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"hzind = [(dx,5,-1.3),(5, 10)]\n",
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"\n",
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"mesh = Mesh.TensorMesh([hxind, hyind, hzind], 'CCC')\n",
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"\n",
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@@ -145,7 +145,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"execution_count": 26,
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"metadata": {
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"collapsed": false
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},
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@@ -153,10 +153,10 @@
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{
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"data": {
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"text/plain": [
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"30.0"
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"59.390075000000003"
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]
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},
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"execution_count": 14,
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"execution_count": 26,
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"metadata": {},
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"output_type": "execute_result"
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}
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@@ -200,7 +200,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"execution_count": 27,
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"metadata": {
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"collapsed": false
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},
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@@ -237,7 +237,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"execution_count": 29,
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"metadata": {
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"collapsed": false
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},
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@@ -1000,7 +1000,7 @@
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{
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"data": {
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"text/html": [
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truncated
|
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truncated
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],
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"text/plain": [
|
||||
"<IPython.core.display.HTML object>"
|
||||
@@ -1025,7 +1025,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 17,
|
||||
"execution_count": 30,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
@@ -1769,7 +1769,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<img src=\"data:image/png;base64,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 truncated
|
||||
"<img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAoAAAAHgCAYAAAA10dzkAAAgAElEQVR4nOydd5hU5fn+7630DqKCsiJ2sLeIUexdoyZGI1FMM9Ekxu8vJsYYJcZEjbEktqixY++dooBiRUVsiCC9dxbYvjP374/nPc7Zw+zZ2WX2nXW4P9f1XDLznHPPmXPOO3v7vOUAQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCHaJncDSAK4MYuaZU7znCxqZspEABOypDUM9j0Oz2DbJIArs/S56bT/1krarcUI2HFv24J9W/NcCiGEEJs9HQCUA6gAsBRAUZZ0SwHsD6BXlvSawwQA47OkNQzNM4BXZOlz02lf1UrarcUIbJoBbK1zKYQQQmz2nAX7Y/tr998Tcns4WWEiZADbAiMgAyiEEEK0SUYD+AJAAYCFAJ7IcL8tATwAYBGAagCLAbwIoI/Ll8H+iJ8b2ud+AAsA7AfgXQCVAKYjZTr/CGAegLUAngXQO/KZSQBXA/izO9ZKAG8A2COy3URsbAD7APiv268awJcAfp7B9xzmPvc0d/yrYRXTUQB6pjm+qGk5FqnvGnyvHdN8zqkA3gaw3um/D+CkiHbYAHaEne/FAIbEHP9It+/OAMbBKr1zAZzn8ucBmOE+dzyAgZH9S2DnfC6AGgBzYF3RxZHtBgJ42ekvB3AzgPOR3gD+AsAnAKoArADwPwA9ItvIAAohhBCtxNYA6pD6Q3sj7I9y9wz2HQczb2cBOBjA9wHcDmCAy5dh4zGA98PMzRew6tAxAN50n3kLgBcAHAczJeUAHo98ZhLAfACTAJwM4Ax3DCvR0EBMREMD2BXAVzAT81NYNe+fAOphlc84hoU+9x4AR7t91mFjkxk1LccCSAAYA+BE2LmaCTNIW4e2+43b92mYETwKwKWRYwsbwJ4A3oF99wGIZ6Tb9zOndwSAZ9x7N8BM58mw67cIwHuR/R+B3SMjARwJG5dXC+Dh0DalAGbBzPW5AI4H8DzM7EcN4LVu/+ud3gi333sACiPfVwZQCCGEaAX+APtDG1Sk9nevz89g3/WIN09lSG8AkzDDGDDEvfclrAoZcAPMKITfS8LMU4fQewPcduHq2EQ0NGd/gZnM7SPHeBesAlWIxhnmPveVyPs/wsZdw1HT8iHMeIb1y9zx3uBed4Wdy6dijiHQvgpmpr6EVQgzGV850u07PPRed5j5XQGgc+j9wIhu414PRnoj9mf3flB5/Ll7vX9omwIAn8MMcGAAy9znXh7RO8jtf0roPRlAIYQQopX4AsDHkfdmwapLTTEeVhX7LcwIFETyZUhvANdFtit1290Sef8X7v1wpSzpNKK8CatIBkxEQwP4NmxiSBGs6zKI7zvNwWk0A4a5bUakOe56AJdFji8wLZ1g5ifduL0JMHMIWJUwCassxhFUCBfCuu07NrF9wEi3b9QsLoJ1IYc52m17kHt9gXsd7RYe4N6/0L2+F1ZdjXIlGlYAA6M4EA2vQzHsvrghtK8MoBBCCNEK7IvU0iLdQ3Gze3+HJvbvA+BWmCFJwgzFX5AygmVIbwDnp9FKN8FhBDY2H0kA16XZ/ymYmQ2YiIYGcKbbN10kAByaRjNgmNvuuDS5FQBuixxfYFr6u9e/SrPfYzCjDQBnu+12jTmGQHuFO94zmtg2zEi3b7TKOQfAg5H3hqFhVfNy97pDZLv27v2/uNevwiqSUX6JhgYwqBw2dh3uC+0rAyiEEEK0Areg8T/GgTHMlB0A/N3t90v3XhnSG8AFafZvjgG8P83+kwCMDb2eiIYG8F23zd6NRLgbNMow97nnRd7PtAL41zSaEwF84P59DDKvAP4Ndt1qYJNSMmEkWm4AG6sAlmHjCuC8NJ8drQAGhvAIpL8O4fGMMoBCCCFElimFTZx4B8AhkTgUwBSk79JrilVIdeWWoXUqgMvRsPuzDDZJIWy0JqKhAbwS9n37oPkMc5/7auT9oHJ3WOT4wqZlMmy8Xth8BWMWr3evu8C6PzMdAwgANzmN72dw/CPRcgO4m3t9WWS7oJK3m3v9M/f6gNA2hbCqbHgM4ECYaf5JBsctAyiEEEJkmVNhf2B/3Eg+WL5jWCP5brAK1kWwMWxHAPiP2ydYuqQMrVMBnA/gLdiEgR/CZsKuQMOZyxPR8EkgXQFMc9ueDzNtJwL4PYDnGvmOAcPc586DVbqOgU2WWAfg9TTfI2xajoEZnldg5+Us2JIry2DL6ARc6PZ9ClbZOwrAJWh8FjAA/AtmApvqDh6J9AZwLpo2gIDN9q113+so999a2DI4ASUAvoYNAwhmAb8Au1bhCiBgleJKWFf+CbB7Z4TTGxbaLnouD4Wdy8buWSGEEEI0wbOwNenaN5LvClvP7d5G8qWwNfU+R8N1684MbVOGjQ3gfWheBTCBjQ3g3wD8CWYkq2DrAO4e2Tfdk0C6w5a5mQ3rQl3m9v1tui8YYpg7ju+5418DM3+ZrgN4DKzSGl4HMN34ytNhS6FUws7nuzAjFdaOnqNrYdXPH8Yc/5Xu+DOtACbQ0ACWwM75XJjxm+OOI/rEmO3QcB3Am2ATecIVwIDhsO+3AXb/TIP9D0S/0DbRcxkcW/h+EkIIIcRmQDoTJIQQQggh8hgZQCGEEEKIzQwZQCGEEEIIIYQQQgghhBBCCCG+lRTAZgR2VSgUCoW36IeNH+sohBDe6AeACoVCofAe4eV4hBDCK10BELiAwCUtiH1auN/FBIa6/7Zkfx/aLdFpzj4XE9g6ZtumtJTX+WvN8+ezLfjQaQ3tlv7+XUD73UXXHP/+CyE2Y5wBvITAyBbEgS3c73ICh7r/tmR/H9ot0WnOPpcT6BezbVNayuv8teb589kWfOi0hnZLf/8uIWQAhRA5RgYwqzoygH7zOn8ygLnUlgEUQnx72UQDODwPf9Q3Rae5BnBIzLZtwSC09bzOX+udP59twYdOa2i39PdPBlAIkXs20QDm44/6pug01wDm2gAor7wMYOtox4UMoBAi98gAZlVHBlD5fMn7bAs+dHxrx4UMoBAi9zgDeLH7EfQVl7of3kvbsHZLdJqzT1PbKq98LvM+24IPHd/acXExIQMohMgxzgAOdT+ECoVCoWjdGErIAAohcowqgFnVUQVQ+XzJ+2wLPnR8a8eFKoBCiNyjMYBZ1WnOPk1tq7zyucz7bAs+dHxrx4XGAAohco8MYFZ1ZACVz5e8z7bgQ8e3dlzIAAohco8MYFZ1ZACVz5e8z7bgQ8e3dlzIAAohco8MYFZ1ZACVz5e8z7bgQ8e3dlzIAAohco8MYFZ1ZACVz5e8z7bgQ8e3dlzIAAohco9mAWdVR7OAlc+XvM+24EPHt3ZcaBawECL3aB1AhUKh8BpaB1AIkXtUAcyqjiqAmeYvBXgowEsBXp4mfOTb8vnJfd5nW/Ch41s7LlQBFEJkj2cBJAEcEXpvdwBvAtgAYBGAK9PspzGAWdVpzj5NbZvf+cudQbsc4Mg04SPfls9P7vM+24IPHd/acaExgEKI7HAOgNEwA3i4e68LgCUA/g6gHYDBABYA+F1kXxnArOrIAGaalwFs63mfbcGHjm/tuJABFEJsOv0BzAOwDRoawHMBLANQGNr2twC+juwvA5hVHRnATPMygG0977Mt+NDxrR0XMoBCiE2jAMBYAD9zr8MG8CYAr0a2P8ht0zn0ngxgVnVkADPNywC29bzPtuBDx7d2XMgACiE2jQsAjAm9DhvAewA8Ftl+F7fN1qH3ZACzqiMDmGleBrCt5322BR86vrXjQgZQCNFytgewGMC2offCk0BuhI0LDBNTAdybwAEuznI/iK0Z34aZfZoF3Jp5zQJu63mfbcGHjm/taJzF1G/s3oQMoBCihYwAUANgRSiSANYCuBM2MWQZgKLQPhcBmBnR0TqAipzEoc6g5TJyfQ4Um2toHUAhRMvpAOvKDaIfzACeAaA7rMq3GMDVANoDGAJgPhqdBax1ALOjowpgpnlVANt63mdb8KHjWzsutA6gECK7hMcAAmb63gRQAVsS5oo0+2gMYFZ1mrNPU9vmd15jANt63mdb8KHjWzsuNAZQCJF7ZACzqiMDmGleBrCt5322BR86vrXjQgZQCJF7ZACzqiMDmGleBrCt5322BR86vrXjQgZQCJF7ZACzqiMDmGleBrCt5322BR86vrXjQgZQCJF7ZACzqiMDmGleBrCt5322BR86vrXjQgZQCJF7NAs4qzqaBZxpXrOA23reZ1vwoeNbOy40C1gIkXu0DqAiJ3EotA6gYnMNrQMohMg9qgBmVUcVwEzzqgC29bzPtuBDx7d2XKgCKITIPRoDmFWd5uzT1Lb5ndcYwLae99kWfOj41o4LjQEUQuQeGcCs6sgAZpqXAWzreZ9twYeOb+24kAEUQuQeGcCs6sgAZpqXAWzreZ9twYeOb+24kAEUQuQeGcCs6sgAZpqXAWzreZ9twYeOb+24kAEUQuQeGcCs6sgAZpqXAWzreZ9twYeOb+24kAEUQuQezQLOqo5mAWea1yzgtp732RZ86PjWjgvNAhZC5B6tA6jISRwKrQOo2FxD6wAKIXKPKoBZ1VEFMNO8KoBtPe+zLfjQ8a0dF6oACiFyj8YAZlWnOfs0tW1+5zUGsK3nfbYFHzq+teNCYwCFELlHBjCrOjKAmeZlANt63mdb8KHjWzsuZACFELlHBjCrOjKAmeZlANt63mdb8KHjWzsuZACFELlHBjCrOjKAmeZlANt63mdb8KLine truncated
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.core.display.HTML object>"
|
||||
@@ -1809,7 +1809,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 18,
|
||||
"execution_count": 31,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
@@ -1850,7 +1850,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 19,
|
||||
"execution_count": 32,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
@@ -1889,7 +1889,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 20,
|
||||
"execution_count": 33,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
@@ -1904,12 +1904,12 @@
|
||||
"=============================== Projected GNCG ===============================\n",
|
||||
" # beta phi_d phi_m f |proj(x-g)-x| LS Comment \n",
|
||||
"-----------------------------------------------------------------------------\n",
|
||||
" 0 1.13e-02 5.62e+04 2.15e-07 5.62e+04 5.06e+01 0 \n",
|
||||
" 0 9.70e-03 5.58e+04 2.22e-07 5.58e+04 8.41e+01 0 \n",
|
||||
"------------------------- STOP! -------------------------\n",
|
||||
"1 : |fc-fOld| = 0.0000e+00 <= tolF*(1+|f0|) = 5.6238e+03\n",
|
||||
"0 : |xc-x_last| = 3.9811e-02 <= tolX*(1+|x0|) = 1.0063e-10\n",
|
||||
"0 : |proj(x-g)-x| = 5.0612e+01 <= tolG = 1.0000e-01\n",
|
||||
"0 : |proj(x-g)-x| = 5.0612e+01 <= 1e3*eps = 1.0000e-02\n",
|
||||
"1 : |fc-fOld| = 0.0000e+00 <= tolF*(1+|f0|) = 5.5847e+03\n",
|
||||
"0 : |xc-x_last| = 4.1645e-02 <= tolX*(1+|x0|) = 1.0116e-10\n",
|
||||
"0 : |proj(x-g)-x| = 8.4094e+01 <= tolG = 1.0000e-01\n",
|
||||
"0 : |proj(x-g)-x| = 8.4094e+01 <= 1e3*eps = 1.0000e-02\n",
|
||||
"0 : maxIter = 6 <= iter = 1\n",
|
||||
"------------------------- DONE! -------------------------\n"
|
||||
]
|
||||
@@ -1921,29 +1921,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 21,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"False"
|
||||
]
|
||||
},
|
||||
"execution_count": 21,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"np.nan <= 0.1"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 22,
|
||||
"execution_count": 35,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
@@ -2687,7 +2665,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
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||||
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truncated
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.core.display.HTML object>"
|
||||
@@ -2699,10 +2677,10 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"<matplotlib.colorbar.Colorbar instance at 0x000000001AD3C488>"
|
||||
"<matplotlib.colorbar.Colorbar instance at 0x000000001C92CCC8>"
|
||||
]
|
||||
},
|
||||
"execution_count": 22,
|
||||
"execution_count": 35,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
|
||||
Reference in new issue
Block a user