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maca_trans_lemmatizer.c
comp_gabtight_long.pyx 3.84 KiB
# -*- coding: utf-8 -*-
# ######### COPYRIGHT #########
# Credits
# #######
#
# Copyright(c) 2015-2018
# ----------------------
#
# * `LabEx Archimède <http://labex-archimede.univ-amu.fr/>`_
# * `Laboratoire d'Informatique Fondamentale <http://www.lif.univ-mrs.fr/>`_
# (now `Laboratoire d'Informatique et Systèmes <http://www.lis-lab.fr/>`_)
# * `Institut de Mathématiques de Marseille <http://www.i2m.univ-amu.fr/>`_
# * `Université d'Aix-Marseille <http://www.univ-amu.fr/>`_
#
# This software is a port from LTFAT 2.1.0 :
# Copyright (C) 2005-2018 Peter L. Soendergaard <peter@sonderport.dk>.
#
# Contributors
# ------------
#
# * Denis Arrivault <contact.dev_AT_lis-lab.fr>
# * Florent Jaillet <contact.dev_AT_lis-lab.fr>
#
# Description
# -----------
#
# ltfatpy is a partial Python port of the
# `Large Time/Frequency Analysis Toolbox <http://ltfat.sourceforge.net/>`_,
# a MATLAB®/Octave toolbox for working with time-frequency analysis and
# synthesis.
#
# Version
# -------
#
# * ltfatpy version = 1.0.13
# * LTFAT version = 2.1.0
#
# Licence
# -------
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
# ######### COPYRIGHT #########
"""This module contains interface functions for the LTFAT computed
versions of tight gabor windows calculation.
.. moduleauthor:: Denis Arrivault
"""
from __future__ import print_function, division
import cython
import numpy as np
from ltfat cimport ltfatInt, gabtight_long_d, gabtight_long_cd
# cython: profile=True
# don’t check for out-of-bounds indexing.
@cython.boundscheck(False)
# assume no negative indexing.
@cython.wraparound(False)
cdef comp_gabtight_long_real(const double[:] g, const ltfatInt L,
const ltfatInt R, const ltfatInt a,
const ltfatInt M, double[:] out):
""" Internal function, do not use it """
gabtight_long_d(&g[0], L, R, a, M, &out[0])
# don’t check for out-of-bounds indexing.
@cython.boundscheck(False)
# assume no negative indexing.
@cython.wraparound(False)
cdef comp_gabtight_long_cmplx(const double complex[:] g, const ltfatInt L,
const ltfatInt R, const ltfatInt a,
const ltfatInt M, double complex[:] out):
""" Internal function, do not use it """
gabtight_long_cd(&g[0], L, R, a, M, &out[0])
cpdef comp_gabtight_long(g, a, M):
"""Compute tight window
This is a computational subroutine, do not call it directly, use
:func:`~ltfatpy.gabor.gabtight.gabtight` instead.
.. seealso:: :func:`~ltfatpy.gabor.gabtight.gabtight`
"""
cdef ltfatInt L = g.shape[0]
cdef ltfatInt R = 1
if g.ndim > 1:
if g.ndim > 2:
raise TypeError("g dimensions should be 1 or 2.")
R = g.shape[1]
g_combined = g.reshape(L*R, order='F')
else:
g_combined = g
if np.issubdtype(g.dtype, np.float64):
gd = np.ndarray((L * R), dtype=np.float64)
comp_gabtight_long_real(g_combined, L, R, a, M, gd)
elif np.issubdtype(g.dtype, np.complex128):
gd = np.ndarray((L * R), dtype=np.complex128)
comp_gabtight_long_cmplx(g_combined, L, R, a, M, gd)
else:
raise TypeError("g data should be numpy.float64 or numpy.complex128")
if R == 1:
return gd
else:
return gd.reshape(R, L).transpose()