# Copyright (c) ONNX Project Contributors

# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations

import numpy as np

from onnx.reference.ops._op_common_window import _CommonWindow


class HammingWindow(_CommonWindow):
    r"""Returns :math:`\\omega_n = \\alpha - \\beta \\cos \\left( \\frac{\\pi n}{N-1} \\right)` where *N* is the window length.

    See `hamming_window <https://pytorch.org/docs/stable/generated/torch.hamming_window.html>`_.
    `alpha=0.54, beta=0.46`
    """

    def _run(self, size, output_datatype=None, periodic=None):  # type: ignore
        ni, N_1 = self._begin(size, periodic, output_datatype)
        alpha = 25.0 / 46.0
        beta = 1 - alpha
        res = alpha - np.cos(ni * np.pi * 2 / N_1) * beta
        return self._end(size, res, output_datatype)