140 lines
3.9 KiB
Plaintext
140 lines
3.9 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "google",
|
|
"metadata": {},
|
|
"source": [
|
|
"##### Copyright 2025 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": [
|
|
"# simple_cp_program"
|
|
]
|
|
},
|
|
{
|
|
"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/constraint_solver/simple_cp_program.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/constraint_solver/samples/simple_cp_program.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",
|
|
"Simple Constraint optimization example.\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "code",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"from ortools.constraint_solver import pywrapcp\n",
|
|
"\n",
|
|
"\n",
|
|
"\n",
|
|
"def main():\n",
|
|
" \"\"\"Entry point of the program.\"\"\"\n",
|
|
" # Instantiate the solver.\n",
|
|
" solver = pywrapcp.Solver(\"CPSimple\")\n",
|
|
"\n",
|
|
" # Create the variables.\n",
|
|
" num_vals = 3\n",
|
|
" x = solver.IntVar(0, num_vals - 1, \"x\")\n",
|
|
" y = solver.IntVar(0, num_vals - 1, \"y\")\n",
|
|
" z = solver.IntVar(0, num_vals - 1, \"z\")\n",
|
|
"\n",
|
|
" # Constraint 0: x != y.\n",
|
|
" solver.Add(x != y)\n",
|
|
" print(\"Number of constraints: \", solver.Constraints())\n",
|
|
"\n",
|
|
" # Solve the problem.\n",
|
|
" decision_builder = solver.Phase(\n",
|
|
" [x, y, z], solver.CHOOSE_FIRST_UNBOUND, solver.ASSIGN_MIN_VALUE\n",
|
|
" )\n",
|
|
"\n",
|
|
" # Print solution on console.\n",
|
|
" count = 0\n",
|
|
" solver.NewSearch(decision_builder)\n",
|
|
" while solver.NextSolution():\n",
|
|
" count += 1\n",
|
|
" solution = f\"Solution {count}:\\n\"\n",
|
|
" for var in [x, y, z]:\n",
|
|
" solution += f\" {var.Name()} = {var.Value()}\"\n",
|
|
" print(solution)\n",
|
|
" solver.EndSearch()\n",
|
|
" print(f\"Number of solutions found: {count}\")\n",
|
|
"\n",
|
|
" print(\"Advanced usage:\")\n",
|
|
" print(f\"Problem solved in {solver.WallTime()}ms\")\n",
|
|
" print(f\"Memory usage: {pywrapcp.Solver.MemoryUsage()}bytes\")\n",
|
|
"\n",
|
|
"\n",
|
|
"main()\n",
|
|
"\n"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"language_info": {
|
|
"name": "python"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|