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# pylint: disable=invalid-name
"""OneHot in python"""

import numpy as np


def one_hot(indices, on_value, off_value, depth, axis, dtype):
    """one_hot operator implemented in numpy.

    Returns a one-hot tensor where the locations repsented by indices take value on_value,
    other locations take value off_value.
    Final dimension is <indices outer dimensions> x depth x <indices inner dimensions>.

    Parameters
    ----------
    indices : numpy.ndarray
        Locations to set to on_value.

    on_value : int/float
        Value to fill at indices.

    off_value : int/float
        Value to fill at all other positions besides indices.

    depth : int
        Depth of the one-hot dimension.

    axis : int
        Axis to fill.

    dtype : str
        Data type of the output tensor.

    Returns
    -------
    ret : tvm.te.Tensor
        The one-hot tensor.
    """
    oshape = []
    true_axis = len(indices.shape) if axis == -1 else axis
    ndim = len(indices.shape) + 1
    indices_index = 0
    for i in range(0, ndim):
        if i == true_axis:
            oshape.append(depth)
        else:
            oshape.append(indices.shape[indices_index])
            indices_index += 1

    out = np.empty(oshape)
    output_indices = list(np.ndindex(out.shape))
    for output_index in output_indices:
        indices_indices = []
        for i, out_idx in enumerate(output_index):
            if i == true_axis:
                continue
            indices_indices.append(out_idx)

        index = output_index[true_axis]
        if indices[tuple(indices_indices)] == index:
            out[output_index] = on_value
        else:
            out[output_index] = off_value

    return out.astype(dtype)