73 lines
1.4 KiB
Plaintext
73 lines
1.4 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Evaluate Adjacency Matrices"
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]
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},
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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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"outputs": [],
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"source": [
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"import pickle"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"m_act = pickle.load(open(\"m_act.pickle\", \"rb\"))\n",
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"m_mix = pickle.load(open(\"m_mix.pickle\", \"rb\"))\n",
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"m_base_act = pickle.load(open(\"m_base_act.pickle\", \"rb\"))\n",
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"m_base_mix = pickle.load(open(\"m_base_mix.pickle\", \"rb\"))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"c_act = m_act.get_csr()\n",
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"c_mix = m_mix.get_csr()\n",
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"c_base_act = m_base_act.get_csr()\n",
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"c_base_mix = m_base_mix.get_csr()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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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": "3.7.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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