ortools.linear_solver.python.model_builder_numbers
helpers methods for the cp_model_builder module on numbers.
1# Copyright 2010-2024 Google LLC 2# Licensed under the Apache License, Version 2.0 (the "License"); 3# you may not use this file except in compliance with the License. 4# You may obtain a copy of the License at 5# 6# http://www.apache.org/licenses/LICENSE-2.0 7# 8# Unless required by applicable law or agreed to in writing, software 9# distributed under the License is distributed on an "AS IS" BASIS, 10# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 11# See the License for the specific language governing permissions and 12# limitations under the License. 13 14"""helpers methods for the cp_model_builder module on numbers.""" 15 16import numbers 17from typing import Any, Sequence, Union 18import numpy as np 19import numpy.typing as npt 20 21# Custom types. 22NumberT = Union[numbers.Number, np.number] 23 24 25def is_integral(x: Any) -> bool: 26 """Checks if x has either a number.Integral or a np.integer type.""" 27 return isinstance(x, numbers.Integral) or isinstance(x, np.integer) 28 29 30def is_a_number(x: Any) -> bool: 31 """Checks if x has either a number.Number or a np.double type.""" 32 return ( 33 isinstance(x, numbers.Number) 34 or isinstance(x, np.double) 35 or isinstance(x, np.integer) 36 ) 37 38 39def is_zero(x: Any) -> bool: 40 """Checks if the x is 0 or 0.0.""" 41 return (is_integral(x) and int(x) == 0) or (is_a_number(x) and float(x) == 0.0) 42 43 44def is_one(x: Any) -> bool: 45 """Checks if x is 1 or 1.0.""" 46 return (is_integral(x) and int(x) == 1) or (is_a_number(x) and float(x) == 1.0) 47 48 49def is_minus_one(x: Any) -> bool: 50 """Checks if x is -1 or -1.0.""" 51 return (is_integral(x) and int(x) == -1) or (is_a_number(x) and float(x) == -1.0) 52 53 54def assert_is_a_number(x: NumberT) -> np.double: 55 """Asserts that x is a number and converts to a np.double.""" 56 if not is_a_number(x): 57 raise TypeError("Not a number: %s" % x) 58 return np.double(x) 59 60 61def assert_is_a_number_array(x: Sequence[NumberT]) -> npt.NDArray[np.double]: 62 """Asserts x is a list of numbers and converts it to np.array(np.double).""" 63 result = np.empty(len(x), dtype=np.double) 64 pos = 0 65 for c in x: 66 result[pos] = assert_is_a_number(c) 67 pos += 1 68 assert pos == len(x) 69 return result
NumberT =
typing.Union[numbers.Number, numpy.number]
def
is_integral(x: Any) -> bool:
26def is_integral(x: Any) -> bool: 27 """Checks if x has either a number.Integral or a np.integer type.""" 28 return isinstance(x, numbers.Integral) or isinstance(x, np.integer)
Checks if x has either a number.Integral or a np.integer type.
def
is_a_number(x: Any) -> bool:
31def is_a_number(x: Any) -> bool: 32 """Checks if x has either a number.Number or a np.double type.""" 33 return ( 34 isinstance(x, numbers.Number) 35 or isinstance(x, np.double) 36 or isinstance(x, np.integer) 37 )
Checks if x has either a number.Number or a np.double type.
def
is_zero(x: Any) -> bool:
40def is_zero(x: Any) -> bool: 41 """Checks if the x is 0 or 0.0.""" 42 return (is_integral(x) and int(x) == 0) or (is_a_number(x) and float(x) == 0.0)
Checks if the x is 0 or 0.0.
def
is_one(x: Any) -> bool:
45def is_one(x: Any) -> bool: 46 """Checks if x is 1 or 1.0.""" 47 return (is_integral(x) and int(x) == 1) or (is_a_number(x) and float(x) == 1.0)
Checks if x is 1 or 1.0.
def
is_minus_one(x: Any) -> bool:
50def is_minus_one(x: Any) -> bool: 51 """Checks if x is -1 or -1.0.""" 52 return (is_integral(x) and int(x) == -1) or (is_a_number(x) and float(x) == -1.0)
Checks if x is -1 or -1.0.
def
assert_is_a_number(x: Union[numbers.Number, numpy.number]) -> numpy.float64:
55def assert_is_a_number(x: NumberT) -> np.double: 56 """Asserts that x is a number and converts to a np.double.""" 57 if not is_a_number(x): 58 raise TypeError("Not a number: %s" % x) 59 return np.double(x)
Asserts that x is a number and converts to a np.double.
def
assert_is_a_number_array( x: Sequence[Union[numbers.Number, numpy.number]]) -> numpy.ndarray[typing.Any, numpy.dtype[numpy.float64]]:
62def assert_is_a_number_array(x: Sequence[NumberT]) -> npt.NDArray[np.double]: 63 """Asserts x is a list of numbers and converts it to np.array(np.double).""" 64 result = np.empty(len(x), dtype=np.double) 65 pos = 0 66 for c in x: 67 result[pos] = assert_is_a_number(c) 68 pos += 1 69 assert pos == len(x) 70 return result
Asserts x is a list of numbers and converts it to np.array(np.double).