# Copyright (c) 2019 hippo91 <guillaume.peillex@gmail.com>

# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER


"""Astroid hooks for numpy.core.numeric module."""

import functools
import astroid
from brain_numpy_utils import looks_like_numpy_member, infer_numpy_member


def numpy_core_numeric_transform():
    return astroid.parse(
        """
    # different functions defined in numeric.py
    import numpy
    def zeros_like(a, dtype=None, order='K', subok=True): return numpy.ndarray((0, 0))
    def ones_like(a, dtype=None, order='K', subok=True): return numpy.ndarray((0, 0))
    def full_like(a, fill_value, dtype=None, order='K', subok=True): return numpy.ndarray((0, 0))
        """
    )


astroid.register_module_extender(
    astroid.MANAGER, "numpy.core.numeric", numpy_core_numeric_transform
)


METHODS_TO_BE_INFERRED = {
    "ones": """def ones(shape, dtype=None, order='C'):
            return numpy.ndarray([0, 0])"""
}


for method_name, function_src in METHODS_TO_BE_INFERRED.items():
    inference_function = functools.partial(infer_numpy_member, function_src)
    astroid.MANAGER.register_transform(
        astroid.Attribute,
        astroid.inference_tip(inference_function),
        functools.partial(looks_like_numpy_member, method_name),
    )
