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ortools-clone/ortools/linear_solver/python/model_builder_numbers.py
Corentin Le Molgat a66a6daac7 Bump Copyright to 2025
2025-01-10 11:35:44 +01:00

70 lines
2.2 KiB
Python

# 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.
"""helpers methods for the cp_model_builder module on numbers."""
import numbers
from typing import Any, Sequence, Union
import numpy as np
import numpy.typing as npt
# Custom types.
NumberT = Union[numbers.Number, np.number]
def is_integral(x: Any) -> bool:
"""Checks if x has either a number.Integral or a np.integer type."""
return isinstance(x, numbers.Integral) or isinstance(x, np.integer)
def is_a_number(x: Any) -> bool:
"""Checks if x has either a number.Number or a np.double type."""
return (
isinstance(x, numbers.Number)
or isinstance(x, np.double)
or isinstance(x, np.integer)
)
def is_zero(x: Any) -> bool:
"""Checks if the x is 0 or 0.0."""
return (is_integral(x) and int(x) == 0) or (is_a_number(x) and float(x) == 0.0)
def is_one(x: Any) -> bool:
"""Checks if x is 1 or 1.0."""
return (is_integral(x) and int(x) == 1) or (is_a_number(x) and float(x) == 1.0)
def is_minus_one(x: Any) -> bool:
"""Checks if x is -1 or -1.0."""
return (is_integral(x) and int(x) == -1) or (is_a_number(x) and float(x) == -1.0)
def assert_is_a_number(x: NumberT) -> np.double:
"""Asserts that x is a number and converts to a np.double."""
if not is_a_number(x):
raise TypeError("Not a number: %s" % x)
return np.double(x)
def assert_is_a_number_array(x: Sequence[NumberT]) -> npt.NDArray[np.double]:
"""Asserts x is a list of numbers and converts it to np.array(np.double)."""
result = np.empty(len(x), dtype=np.double)
pos = 0
for c in x:
result[pos] = assert_is_a_number(c)
pos += 1
assert pos == len(x)
return result