remove the pywrap prefix from pybind11 modules; add _pybind to the cmake target of the same modules

ortools/linear_solver/python/model_builder_numbers.py

@@ -0,0 +1,69 @@
+# Copyright 2010-2022 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