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# pylint: disable=invalid-name
"""Dilate operation in python"""

import numpy as np


def dilate_python(input_np, strides, dilation_value=0.0, out_dtype=None):
    """Dilate operation.

    Parameters
    ----------
    input_np : numpy.ndarray
        n-D, can be any layout.

    strides : list / tuple of n ints
        Dilation stride on each dimension, 1 means no dilation.

    dilation_value : int/float, optional
        Value used to dilate the input.

    out_dtype : Option[str]
        The datatype of the dilated array.  If unspecified, will use
        the same dtype as the input array.

    Returns
    -------
    output_np : numpy.ndarray
        n-D, the same layout as Input.

    """
    assert len(input_np.shape) == len(strides), (
        f"Input dimension and strides size dismatch : {len(input_np.shape)} vs {len(strides)}"
    )

    if out_dtype is None:
        out_dtype = input_np.dtype

    output_size = [
        (input_dim - 1) * stride + 1 for input_dim, stride in zip(input_np.shape, strides)
    ]
    non_zero_elements = np.ix_(
        *[range(0, output_dim, stride) for output_dim, stride in zip(output_size, strides)]
    )

    output_np = np.full(shape=output_size, fill_value=dilation_value, dtype=out_dtype)
    output_np[non_zero_elements] = input_np

    return output_np