Class Arrayish

numpy/_core/tests/test_function_base.py:407–429

A generic object that supports the __array_interface__ and hence can in principle be converted to a numeric scalar, but is not otherwise recognized as numeric, but also happens to support multiplication by floats. Data should be an object

        # __array_interface__ and are convertible to numeric scalars

        class Arrayish:
            """
            A generic object that supports the __array_interface__ and hence
            can in principle be converted to a numeric scalar, but is not
            otherwise recognized as numeric, but also happens to support
            multiplication by floats.

            Data should be an object that implements the buffer interface,
            and contains at least 4 bytes.
            """

            def __init__(self, data):
                self._data = data

            @property
            def __array_interface__(self):
                return {'shape': (), 'typestr': '<i4', 'data': self._data,
                        'version': 3}

            def __mul__(self, other):
                # For the purposes of this test any multiplication is an
                # identity operation :)
                return self

        one = Arrayish(array(1, dtype='<i4'))
        five = Arrayish(array(5, dtype='<i4'))