2025-01-10 11:35:44 +01:00
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// Copyright 2010-2025 Google LLC
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2018-08-02 16:34:46 -07:00
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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2025-09-16 16:25:04 +02:00
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// [START program]
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2020-05-26 09:30:42 +02:00
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package com.google.ortools.sat.samples;
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2020-09-11 03:07:18 +02:00
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import com.google.ortools.Loader;
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2018-08-03 16:42:45 -07:00
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import com.google.ortools.sat.CpModel;
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import com.google.ortools.sat.IntVar;
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import com.google.ortools.sat.IntervalVar;
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2021-09-08 21:19:57 +02:00
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import com.google.ortools.sat.LinearExpr;
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2018-09-14 13:24:34 +02:00
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import com.google.ortools.sat.Literal;
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2018-08-02 16:34:46 -07:00
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2018-11-15 14:32:20 -08:00
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/** Code sample to demonstrates how to build an optional interval. */
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2018-11-15 11:38:24 -08:00
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public class OptionalIntervalSampleSat {
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2018-08-03 16:42:45 -07:00
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public static void main(String[] args) throws Exception {
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2020-09-11 03:07:18 +02:00
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Loader.loadNativeLibraries();
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2018-08-02 16:34:46 -07:00
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CpModel model = new CpModel();
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int horizon = 100;
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2021-09-08 21:19:57 +02:00
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// An interval can be created from three affine expressions, and a literal.
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2018-08-03 16:42:45 -07:00
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IntVar startVar = model.newIntVar(0, horizon, "start");
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2018-08-28 11:19:49 +02:00
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IntVar endVar = model.newIntVar(0, horizon, "end");
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2018-09-14 13:24:34 +02:00
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Literal presence = model.newBoolVar("presence");
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2022-01-03 09:43:59 +01:00
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IntervalVar intervalVar = model.newOptionalIntervalVar(startVar, LinearExpr.constant(10),
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2022-01-04 16:30:04 +01:00
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LinearExpr.newBuilder().add(endVar).add(2), presence, "interval");
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2021-09-08 21:19:57 +02:00
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System.out.println(intervalVar);
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// If the size is fixed, a simpler version uses the start expression, the size and the literal.
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IntervalVar fixedSizeIntervalVar =
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model.newOptionalFixedSizeIntervalVar(startVar, 10, presence, "fixed_size_interval_var");
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System.out.println(fixedSizeIntervalVar);
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2018-08-02 16:34:46 -07:00
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2021-09-08 21:19:57 +02:00
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// A fixed interval can be created using another method.
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IntervalVar fixedInterval = model.newOptionalFixedInterval(5, 10, presence, "fixed_interval");
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System.out.println(fixedInterval);
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2018-08-02 16:34:46 -07:00
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}
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}
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2025-09-16 16:25:04 +02:00
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// [END program]
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