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21 results

maca_trans_lemmatizer.c

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  • 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()