2024-07-22 14:18:05 +02:00
|
|
|
#!/usr/bin/env python3
|
2025-01-10 11:35:44 +01:00
|
|
|
# Copyright 2010-2025 Google LLC
|
2024-07-22 14:18:05 +02:00
|
|
|
# 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.
|
|
|
|
|
|
|
|
|
|
"""Solves Pell's equation x^2 - coeff * y^2 = 1."""
|
|
|
|
|
|
|
|
|
|
from collections.abc import Sequence
|
|
|
|
|
|
|
|
|
|
from absl import app
|
|
|
|
|
from absl import flags
|
2025-07-23 17:38:49 +02:00
|
|
|
|
2024-07-22 14:18:05 +02:00
|
|
|
from ortools.sat.python import cp_model
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
_COEFF = flags.DEFINE_integer("coeff", 1, "The Pell equation coefficient.")
|
2024-07-22 17:33:36 +02:00
|
|
|
_MAX_VALUE = flags.DEFINE_integer("max_value", 5000_000, "The maximum value.")
|
2024-07-22 14:18:05 +02:00
|
|
|
|
|
|
|
|
|
2024-07-23 14:07:41 +02:00
|
|
|
def solve_pell(coeff: int, max_value: int) -> None:
|
2024-07-22 14:18:05 +02:00
|
|
|
"""Solves Pell's equation x^2 - coeff * y^2 = 1."""
|
|
|
|
|
model = cp_model.CpModel()
|
|
|
|
|
|
|
|
|
|
x = model.new_int_var(1, max_value, "x")
|
|
|
|
|
y = model.new_int_var(1, max_value, "y")
|
|
|
|
|
|
|
|
|
|
# Pell's equation:
|
|
|
|
|
x_square = model.new_int_var(1, max_value * max_value, "x_square")
|
|
|
|
|
y_square = model.new_int_var(1, max_value * max_value, "y_square")
|
|
|
|
|
model.add_multiplication_equality(x_square, x, x)
|
|
|
|
|
model.add_multiplication_equality(y_square, y, y)
|
|
|
|
|
model.add(x_square - coeff * y_square == 1)
|
|
|
|
|
|
|
|
|
|
model.add_decision_strategy(
|
|
|
|
|
[x, y], cp_model.CHOOSE_MIN_DOMAIN_SIZE, cp_model.SELECT_MIN_VALUE
|
|
|
|
|
)
|
|
|
|
|
|
|
|
|
|
solver = cp_model.CpSolver()
|
|
|
|
|
solver.parameters.num_workers = 12
|
|
|
|
|
solver.parameters.log_search_progress = True
|
|
|
|
|
solver.parameters.cp_model_presolve = True
|
|
|
|
|
solver.parameters.cp_model_probing_level = 0
|
|
|
|
|
|
|
|
|
|
result = solver.solve(model)
|
|
|
|
|
if result == cp_model.OPTIMAL:
|
|
|
|
|
print(f"x={solver.value(x)} y={solver.value(y)} coeff={coeff}")
|
|
|
|
|
if solver.value(x) ** 2 - coeff * (solver.value(y) ** 2) != 1:
|
|
|
|
|
raise ValueError("Pell equation not satisfied.")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
def main(argv: Sequence[str]) -> None:
|
|
|
|
|
if len(argv) > 1:
|
|
|
|
|
raise app.UsageError("Too many command-line arguments.")
|
|
|
|
|
solve_pell(_COEFF.value, _MAX_VALUE.value)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
if __name__ == "__main__":
|
|
|
|
|
app.run(main)
|