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ortools-clone/examples/notebook/graph/simple_max_flow_program.ipynb
Corentin Le Molgat 27121a1068 Update examples/notebook
generated using ./tools/gen_all_notebook.sh
2020-03-04 14:34:33 +01:00

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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Copyright 2010-2018 Google LLC\n",
"# Licensed under the Apache License, Version 2.0 (the \"License\");\n",
"# you may not use this file except in compliance with the License.\n",
"# You may obtain a copy of the License at\n",
"#\n",
"# http://www.apache.org/licenses/LICENSE-2.0\n",
"#\n",
"# Unless required by applicable law or agreed to in writing, software\n",
"# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
"# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
"# See the License for the specific language governing permissions and\n",
"# limitations under the License.\n",
"# [START program]\n",
"\"\"\"From Taha 'Introduction to Operations Research', example 6.4-2.\"\"\"\n",
"# [START import]\n",
"from __future__ import print_function\n",
"from ortools.graph import pywrapgraph\n",
"# [END import]\n",
"\n",
"\n",
"\"\"\"MaxFlow simple interface example.\"\"\"\n",
"\n",
"# [START data]\n",
"# Define three parallel arrays: start_nodes, end_nodes, and the capacities\n",
"# between each pair. For instance, the arc from node 0 to node 1 has a\n",
"# capacity of 20.\n",
"\n",
"start_nodes = [0, 0, 0, 1, 1, 2, 2, 3, 3]\n",
"end_nodes = [1, 2, 3, 2, 4, 3, 4, 2, 4]\n",
"capacities = [20, 30, 10, 40, 30, 10, 20, 5, 20]\n",
"# [END data]\n",
"\n",
"# Instantiate a SimpleMaxFlow solver.\n",
"# [START constraints]\n",
"max_flow = pywrapgraph.SimpleMaxFlow()\n",
"# Add each arc.\n",
"for arc in zip(start_nodes, end_nodes, capacities):\n",
" max_flow.AddArcWithCapacity(arc[0], arc[1], arc[2])\n",
"# [END constraints]\n",
"\n",
"# [START solve]\n",
"# Find the maximum flow between node 0 and node 4.\n",
"if max_flow.Solve(0, 4) == max_flow.OPTIMAL:\n",
" print('Max flow:', max_flow.OptimalFlow())\n",
" print('')\n",
" print(' Arc Flow / Capacity')\n",
" for i in range(max_flow.NumArcs()):\n",
" print('%1s -> %1s %3s / %3s' %\n",
" (max_flow.Tail(i), max_flow.Head(i), max_flow.Flow(i),\n",
" max_flow.Capacity(i)))\n",
" print('Source side min-cut:', max_flow.GetSourceSideMinCut())\n",
" print('Sink side min-cut:', max_flow.GetSinkSideMinCut())\n",
"else:\n",
" print('There was an issue with the max flow input.')\n",
"# [END solve]\n",
"\n"
]
}
],
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}