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"""The reference implementation of searchsorted in Numpy."""

import numpy as np


def searchsorted_ref(sorted_sequence, values, right, out_dtype):
    """Run Numpy searchsorted on 1-D or N-D sorted_sequence."""
    side = "right" if right else "left"
    if len(sorted_sequence.shape) == 1 and len(values.shape) > 1:
        sorted_sequence_2d = np.tile(sorted_sequence, (np.prod(values.shape[:-1]), 1))
    else:
        sorted_sequence_2d = np.reshape(sorted_sequence, (-1, sorted_sequence.shape[-1]))

    values_2d = np.reshape(values, (-1, values.shape[-1]))
    indices = np.zeros(values_2d.shape, dtype=out_dtype)

    for i in range(indices.shape[0]):
        indices[i] = np.searchsorted(sorted_sequence_2d[i], values_2d[i], side=side)

    return np.reshape(indices, values.shape)