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ortools-clone/ortools/sat/samples/interval_relations_sample_sat.py
Corentin Le Molgat a66a6daac7 Bump Copyright to 2025
2025-01-10 11:35:44 +01:00

80 lines
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Python

#!/usr/bin/env python3
# Copyright 2010-2025 Google LLC
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Builds temporal relations between intervals."""
from ortools.sat.python import cp_model
def interval_relations_sample_sat():
"""Showcases how to build temporal relations between intervals."""
model = cp_model.CpModel()
horizon = 100
# An interval can be created from three 1-var affine expressions.
start_var = model.new_int_var(0, horizon, "start")
duration = 10 # Python CP-SAT code accept integer variables or constants.
end_var = model.new_int_var(0, horizon, "end")
interval_var = model.new_interval_var(start_var, duration, end_var, "interval")
# If the size is fixed, a simpler version uses the start expression and the
# size.
fixed_size_start_var = model.new_int_var(0, horizon, "fixed_start")
fixed_size_duration = 10
fixed_size_interval_var = model.new_fixed_size_interval_var(
fixed_size_start_var,
fixed_size_duration,
"fixed_size_interval_var",
)
# An optional interval can be created from three 1-var affine expressions and
# a literal.
opt_start_var = model.new_int_var(0, horizon, "opt_start")
opt_duration = model.new_int_var(2, 6, "opt_size")
opt_end_var = model.new_int_var(0, horizon, "opt_end")
opt_presence_var = model.new_bool_var("opt_presence")
opt_interval_var = model.new_optional_interval_var(
opt_start_var, opt_duration, opt_end_var, opt_presence_var, "opt_interval"
)
# If the size is fixed, a simpler version uses the start expression, the
# size, and the presence literal.
opt_fixed_size_start_var = model.new_int_var(0, horizon, "opt_fixed_start")
opt_fixed_size_duration = 10
opt_fixed_size_presence_var = model.new_bool_var("opt_fixed_presence")
opt_fixed_size_interval_var = model.new_optional_fixed_size_interval_var(
opt_fixed_size_start_var,
opt_fixed_size_duration,
opt_fixed_size_presence_var,
"opt_fixed_size_interval_var",
)
# Simple precedence between two non optional intervals.
model.add(interval_var.start_expr() >= fixed_size_interval_var.end_expr())
# Synchronize start between two intervals (one optional, one not)
model.add(
interval_var.start_expr() == opt_interval_var.start_expr()
).only_enforce_if(opt_presence_var)
# Exact delay between two optional intervals.
exact_delay: int = 5
model.add(
opt_interval_var.start_expr()
== opt_fixed_size_interval_var.end_expr() + exact_delay
).only_enforce_if(opt_presence_var, opt_fixed_size_presence_var)
interval_relations_sample_sat()