Uploaded Test files
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{%- extends 'lab/index.html.j2' -%}
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{%- block body_footer -%}
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UNIQUE
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{%- endblock body_footer -%}
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[<matplotlib.lines.Line2D at 0x10f695240>]"
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]
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},
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"execution_count": 1,
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"metadata": {},
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"output_type": "execute_result"
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},
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{
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"data": {
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
"5OPxJJ9IcjrJ1/UZA1XVhUl+P5NLNV7S3Y8sexwAANhUR14e0933ZnKZxiuSvGLX7huSPCHJLTsT\n",
|
||||
"7ao6VlXPmE7SjzwOAABsmyOX9uSrlfyOJJckeW8mS12uTnJtkruSPKe7Pz997eVJ7k3yye6+4qjj\n",
|
||||
"AADAtplr0p4kVXVZkjckeX6SJye5P5NrWd7Q3Q+d8brLM5m039fdx486DgAAbJu5J+0AAMByzXPJ\n",
|
||||
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|
||||
"B6vqw1X1/VXlev8jtIw/51X1vVX12PTx9xd5vKzGIs+Lqnru9O+NB6Zjfaaq3ldV376MY2d5Fji/\n",
|
||||
"+I6qur2qPj39WfK7VfVLVfXsZR07i1dV31VVN03nAV+Y/p1/yxHHWtqcc7Br2qvqykyuKHNxkvfk\n",
|
||||
"8SvKnMzkijLXdPfnVjUOw7CI72dV/cMkb8/kzc4fSvKpJE9N8uJM7sD7y9393cv6Gli8Zfw5r6qn\n",
|
||||
"JflfmcSNC5K8rLtvXuRxs1yLPC+q6ieS/GiS30vyX5J8NpMrnv3VJB/o7n+68C+ApVjg/OJfJnlN\n",
|
||||
"JufCe6ZH+b3pAAAGc0lEQVTbq5K8IJObV760u39xGV8Di1VVH0/yDUm+mOQzSZ6R5D9290sPOc5y\n",
|
||||
"55zdPchHktuSPJbkFbue/8np8z+zynE8hvFYxPdz+ofnO/Z4/tIkn5yO8+J1f60eqz0vdn1cJflA\n",
|
||||
"knuS/MR0jO9f99fpsZ7zIskPTF9/c5Jje+w/5zmP4T4W9HPkqUn+NJP485Rd+66djvO76/5aPQ58\n",
|
||||
"Tlyb5MrpP3/r9Pv3C0cYZ6lzzkGW9ulvKvckOd3dV+7ad0GSBzK5S+ql3f3wssdhGFbx/ayqH0vy\n",
|
||||
"xiQ3dff1cx4yK7CM86Kqrk/yU5n85f1tSX48SvuoLPDnyNdkUtf/OMlV3f0nyztqlm2B58XVSX4z\n",
|
||||
"yXu7+0V77P9Cku7uixZ5/CxfVV2b5IM5ZGlfxRxlqGvaT063t+/e0d1fSvKRJE9Mst+asUWNwzCs\n",
|
||||
"4vv5J7u2DN9Cz4uq+vokb07ylu7+jUUdJCu3qPPiuiRPSfIrSXq6hvm1VXW9dcujtKjz4u4kX0ly\n",
|
||||
"dVU9+cwdVfUtmSyp+8DcR8uYLH2OMtRJ+4np9u4Z+++Zbq9a0TgMw1K/n1V1LMnOb9XvO8oYrMXC\n",
|
||||
"zovpOXBLkvuSvG7uI2OdFnVefPN0++UkH0/yn5O8KcmNSe6oql+vqqfMc6Cs1ELOi57cpf21mSyr\n",
|
||||
"/J2qekdVvamqfimTJRK3J/kHCzhexmPpc85jR/3AJdv530mz7oS68/x+78Rd1DgMw7K/n29O8qwk\n",
|
||||
"v9rd7z/iGKzeIs+LH0/yjZm8WejL8x4Ya7Wo8+KS6fY1Sf53kr+eyeT9eJJ/neR5Sd6dxysbw7aw\n",
|
||||
"vy+6+99U1SeT/PskLztj1yeS/Hx3f/bIR8kYLX3OOdTSDitVVT+U5EeS/J8k37fmw2ENpmtUfyzJ\n",
|
||||
"v+ru/7bu42Ewdn5O/r8kL+juO7r74e7+7SQvSvLpJN9qqcz2qap/kskvbD+XyS9xT0jyTUnuTfKL\n",
|
||||
"06vLwMIMddK+89vIrDdw7Dz/4IrGYRiW8v2sqn+c5C2ZVLST3e18GJe5z4vpsphfyOSSXK+f9bIj\n",
|
||||
"HR3rsqi/L3b2f6y7P3Xmju5+JJOlEMnjy2gYtoWcF9M3K745kzei/mh339fdj3b3xzL5Ze4zSV5d\n",
|
||||
"VVcs4JgZh6XPOYc6ab9zuj0xY//OeqBZ64YWPQ7DsPDvZ1W9KslbM7ke98nu/sOjHx5rsojz4oLp\n",
|
||||
"656Z5NEzbqj0WCZLZpLk302fu3HuI2YVFv1zZNYP2p3n/9wBj4v1WtR58Z3T7Yd275j+Mvc/Mplj\n",
|
||||
"feNhD5DRWvqcc6hr2nf+EFxXVdVnXJeyqi5Mck0ml9/66IrGYRgW+v2sqtdm8oayjyW5rt1ka6wW\n",
|
||||
"cV48msm61L2ugftNSf5Kkg9nUuLvWMRBs3SL+vvi1zI5L565e5ypvzzdnl7AMbN8izovvma6vWTG\n",
|
||||
"/oun268c9UAZnaXPOQdZ2rv73kzeeX1Fklfs2n1DJuvGbpn+NpuqOlZVz6iq4/OMw7At6ryY7vsX\n",
|
||||
"mUzYfyvJc03Yx2sR58X0f2v/QHe/fPcjk6uFJJM3lr28u9+9/K+KeS3w58inMjkH/lKSs+7dUFXP\n",
|
||||
"S/I3k3w+rjg1Cgv8OfJfp9uXV9VfOHNHVX17JhO0R+KX/I2zzjnnIG+ulCTT/xh3ZPJb7Hvz+K1g\n",
|
||||
"r82kdj1nesmlVNXlmbzx45PdfcVRx2H4FnFeVNXfyeSNQ3+a5KYkX9jjU53u7p9f1tfBYi3q74sZ\n",
|
||||
"Y5+KmyuN0gJ/jvzF6ThPy6S8fzyTH8wvzOTvke/p7luX/gWxEAv6OVKZvJ/h25J8McmtSf4gyddn\n",
|
||||
"snSmk7yqu29axdfEfKrqhZn8eU4md7t9Xibf9517dfxRd79m+trLs64552Fun7rqR5LLMrlt9P2Z\n",
|
||||
"XCP3dCZ3Kbxo1+suz+T2sPfOM47HOB7znheZvNHwsUx+2D424/HBdX+dHqs9L84z7uun58r3r/tr\n",
|
||||
"9FjfeZHJDZbemsk1/L+c5A+T/HKSv7bur9FjPedFJkuMr8/kzqgPZXKFoQeS/Kck37bur9HjUOfD\n",
|
||||
"mfOCMx+P7f7+r3POOdjSDgAATAxyTTsAAPA4k3YAABg4k3YAABg4k3YAABg4k3YAABg4k3YAABg4\n",
|
||||
"k3YAABg4k3YAABg4k3YAABg4k3YAABg4k3YAABg4k3YAABg4k3YAABg4k3YAABg4k3YAABg4k3YA\n",
|
||||
"ABg4k3YAABi4/w/Y3UZ5IHmVbAAAAABJRU5ErkJggg==\n"
|
||||
],
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x10d0da080>"
|
||||
]
|
||||
},
|
||||
"metadata": {
|
||||
"image/png": {
|
||||
"height": 255,
|
||||
"width": 374
|
||||
}
|
||||
},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"%matplotlib inline\n",
|
||||
"%config InlineBackend.figure_formats = set(['retina'])\n",
|
||||
"import matplotlib.pyplot as plt\n",
|
||||
"plt.plot([0,1],[1,0])"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "IPython mydev (Python 3)",
|
||||
"name": "python3_mydev"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.4.2"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 0
|
||||
}
|
||||
|
|
@ -0,0 +1,90 @@
|
|||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"metadata": {
|
||||
"collapsed": true
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import numpy as np"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 10,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"(100,)"
|
||||
]
|
||||
},
|
||||
"execution_count": 10,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"evs = np.zeros(100)\n",
|
||||
"evs.shape"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"collapsed": true
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
" "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"collapsed": true
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
" "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 0,
|
||||
"metadata": {
|
||||
"collapsed": true
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
" "
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"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": "3.6.1"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 1
|
||||
}
|
||||
|
|
@ -0,0 +1,77 @@
|
|||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "raw",
|
||||
"metadata": {
|
||||
"raw_mimetype": "text/html"
|
||||
},
|
||||
"source": [
|
||||
"<b>raw html</b>"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "raw",
|
||||
"metadata": {
|
||||
"raw_mimetype": "text/markdown"
|
||||
},
|
||||
"source": [
|
||||
"* raw markdown\n",
|
||||
"* bullet\n",
|
||||
"* list"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "raw",
|
||||
"metadata": {
|
||||
"raw_mimetype": "text/restructuredtext"
|
||||
},
|
||||
"source": [
|
||||
"``raw rst``\n",
|
||||
"\n",
|
||||
".. sourcecode:: python\n",
|
||||
"\n",
|
||||
" def foo(): pass\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "raw",
|
||||
"metadata": {
|
||||
"raw_mimetype": "text/x-python"
|
||||
},
|
||||
"source": [
|
||||
"def bar():\n",
|
||||
" \"\"\"raw python\"\"\"\n",
|
||||
" pass"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "raw",
|
||||
"metadata": {
|
||||
"raw_mimetype": "text/latex"
|
||||
},
|
||||
"source": [
|
||||
"\\LaTeX\n",
|
||||
"% raw latex"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "raw",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"# no raw_mimetype metadata, should be included by default"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "raw",
|
||||
"metadata": {
|
||||
"raw_mimetype": "doesnotexist"
|
||||
},
|
||||
"source": [
|
||||
"garbage format defined, should never be included"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 0
|
||||
}
|
||||
504
venv/Lib/site-packages/nbconvert/exporters/tests/files/svg.ipynb
Normal file
504
venv/Lib/site-packages/nbconvert/exporters/tests/files/svg.ipynb
Normal file
|
|
@ -0,0 +1,504 @@
|
|||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[<matplotlib.lines.Line2D at 0x7f4c63ec5518>]"
|
||||
]
|
||||
},
|
||||
"execution_count": 1,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/svg+xml": [
|
||||
"<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n",
|
||||
"<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
|
||||
" \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
|
||||
"<!-- Created with matplotlib (http://matplotlib.org/) -->\n",
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" <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m7fb83757f4\" y=\"119.42\"/>\n",
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" </g>\n",
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" <g id=\"text_11\">\n",
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" <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m7fb83757f4\" y=\"94.710909\"/>\n",
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" </g>\n",
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" </g>\n",
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" </g>\n",
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" <g id=\"text_13\">\n",
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" </g>\n",
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" </g>\n",
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" </g>\n",
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" <g id=\"line2d_14\">\n",
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" <g>\n",
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" </g>\n",
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" </g>\n",
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" </g>\n",
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" </g>\n",
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" </defs>\n",
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"</svg>\n"
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],
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"text/plain": [
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"<Figure size 432x288 with 1 Axes>"
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]
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},
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"metadata": {
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"needs_background": "light"
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},
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"output_type": "display_data"
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}
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],
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"source": [
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||||
"%matplotlib inline\n",
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"%config InlineBackend.figure_formats = ['svg'] \n",
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"import matplotlib.pyplot as plt\n",
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"plt.plot((0,1,2,3,4,5),(0,3,4,4,3,0))"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
|
||||
Loading…
Add table
Add a link
Reference in a new issue