128 lines
3.7 KiB
Plaintext
128 lines
3.7 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "google",
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"metadata": {},
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"source": [
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"##### Copyright 2025 Google LLC."
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]
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},
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{
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"cell_type": "markdown",
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"id": "apache",
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"metadata": {},
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"source": [
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"Licensed under the Apache License, Version 2.0 (the \"License\");\n",
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"you may not use this file except in compliance with the License.\n",
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"You may obtain a copy of the License at\n",
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"\n",
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" http://www.apache.org/licenses/LICENSE-2.0\n",
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"\n",
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"Unless required by applicable law or agreed to in writing, software\n",
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"distributed under the License is distributed on an \"AS IS\" BASIS,\n",
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"WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
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"See the License for the specific language governing permissions and\n",
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"limitations under the License.\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "basename",
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"metadata": {},
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"source": [
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"# interval_sample_sat"
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]
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},
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{
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"cell_type": "markdown",
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"id": "link",
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"metadata": {},
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"source": [
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"<table align=\"left\">\n",
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"<td>\n",
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"<a href=\"https://colab.research.google.com/github/google/or-tools/blob/main/examples/notebook/sat/interval_sample_sat.ipynb\"><img src=\"https://raw.githubusercontent.com/google/or-tools/main/tools/colab_32px.png\"/>Run in Google Colab</a>\n",
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"</td>\n",
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"<td>\n",
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"<a href=\"https://github.com/google/or-tools/blob/main/ortools/sat/samples/interval_sample_sat.py\"><img src=\"https://raw.githubusercontent.com/google/or-tools/main/tools/github_32px.png\"/>View source on GitHub</a>\n",
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"</td>\n",
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"</table>"
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]
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},
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{
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"cell_type": "markdown",
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"id": "doc",
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"metadata": {},
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"source": [
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"First, you must install [ortools](https://pypi.org/project/ortools/) package in this colab."
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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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"id": "install",
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install ortools"
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]
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},
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{
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"cell_type": "markdown",
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"id": "description",
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"metadata": {},
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"source": [
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"\n",
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"Code sample to demonstrates how to build an interval.\n",
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"\n"
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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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"id": "code",
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"metadata": {},
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"outputs": [],
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"source": [
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"from ortools.sat.python import cp_model\n",
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"\n",
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"\n",
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"def interval_sample_sat():\n",
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" \"\"\"Showcases how to build interval variables.\"\"\"\n",
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" model = cp_model.CpModel()\n",
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" horizon = 100\n",
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"\n",
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" # An interval can be created from three affine expressions.\n",
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" start_var = model.new_int_var(0, horizon, \"start\")\n",
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" duration = 10 # Python cp/sat code accept integer variables or constants.\n",
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" end_var = model.new_int_var(0, horizon, \"end\")\n",
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" interval_var = model.new_interval_var(start_var, duration, end_var + 2, \"interval\")\n",
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"\n",
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" print(f\"interval = {repr(interval_var)}\")\n",
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"\n",
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" # If the size is fixed, a simpler version uses the start expression and the\n",
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" # size.\n",
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" fixed_size_interval_var = model.new_fixed_size_interval_var(\n",
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" start_var, 10, \"fixed_size_interval_var\"\n",
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" )\n",
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" print(f\"fixed_size_interval_var = {repr(fixed_size_interval_var)}\")\n",
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"\n",
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" # A fixed interval can be created using the same API.\n",
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" fixed_interval = model.new_fixed_size_interval_var(5, 10, \"fixed_interval\")\n",
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" print(f\"fixed_interval = {repr(fixed_interval)}\")\n",
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"\n",
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"\n",
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"interval_sample_sat()\n",
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"\n"
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]
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}
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],
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"metadata": {
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"language_info": {
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"name": "python"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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