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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"id": "google", | ||
"metadata": {}, | ||
"source": [ | ||
"##### Copyright 2024 Google LLC." | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "apache", | ||
"metadata": {}, | ||
"source": [ | ||
"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" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "basename", | ||
"metadata": {}, | ||
"source": [ | ||
"# set_cover" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "link", | ||
"metadata": {}, | ||
"source": [ | ||
"<table align=\"left\">\n", | ||
"<td>\n", | ||
"<a href=\"https://colab.research.google.com/github/google/or-tools/blob/main/examples/notebook/algorithms/set_cover.ipynb\"><img src=\"https://raw.githubusercontent.com/google/or-tools/main/tools/colab_32px.png\"/>Run in Google Colab</a>\n", | ||
"</td>\n", | ||
"<td>\n", | ||
"<a href=\"https://github.com/google/or-tools/blob/main/ortools/algorithms/samples/set_cover.py\"><img src=\"https://raw.githubusercontent.com/google/or-tools/main/tools/github_32px.png\"/>View source on GitHub</a>\n", | ||
"</td>\n", | ||
"</table>" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "doc", | ||
"metadata": {}, | ||
"source": [ | ||
"First, you must install [ortools](https://pypi.org/project/ortools/) package in this colab." | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "install", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"%pip install ortools" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "description", | ||
"metadata": {}, | ||
"source": [ | ||
"\n", | ||
"A simple set-covering problem.\n" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "code", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"from ortools.algorithms.python import set_cover\n", | ||
"\n", | ||
"\n", | ||
"def main():\n", | ||
" model = set_cover.SetCoverModel()\n", | ||
" model.add_empty_subset(2.0)\n", | ||
" model.add_element_to_last_subset(0)\n", | ||
" model.add_empty_subset(2.0)\n", | ||
" model.add_element_to_last_subset(1)\n", | ||
" model.add_empty_subset(1.0)\n", | ||
" model.add_element_to_last_subset(0)\n", | ||
" model.add_element_to_last_subset(1)\n", | ||
"\n", | ||
" inv = set_cover.SetCoverInvariant(model)\n", | ||
" greedy = set_cover.GreedySolutionGenerator(inv)\n", | ||
" has_found = greedy.next_solution()\n", | ||
" if not has_found:\n", | ||
" print(\"No solution found by the greedy heuristic.\")\n", | ||
" return\n", | ||
" solution = inv.export_solution_as_proto()\n", | ||
"\n", | ||
" print(f\"Total cost: {solution.cost}\") # == inv.cost()\n", | ||
" print(f\"Total number of selected subsets: {solution.num_subsets}\")\n", | ||
" print(\"Chosen subsets:\")\n", | ||
" for subset in solution.subset:\n", | ||
" print(f\" {subset}\")\n", | ||
"\n", | ||
"\n", | ||
"main()\n", | ||
"\n" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"language_info": { | ||
"name": "python" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |
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