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# -*- coding: utf-8 -*-
# ######### COPYRIGHT #########
# Credits
# #######
#
# Copyright(c) 2015-2025
# ----------------------
#
# * `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) 2005-2025 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 = 1.1.2
# * 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 pads or truncates arrays
Ported from ltfat_2.1.0/mex/postpad.m
.. moduleauthor:: Florent Jaillet
"""
from __future__ import print_function, division
import numpy as np
from ltfatpy.comp.assert_sigreshape_pre import assert_sigreshape_pre
from ltfatpy.comp.assert_sigreshape_post import assert_sigreshape_post
def postpad(x, L, C=0., dim=None):
"""Pads or truncates an array to a specified length
- Usage:
| ``y = postpad(x, L)``
| ``y = postpad(x, L, C)``
| ``y = postpad(x, L, C, dim)``
- Input parameters:
:param numpy.ndarray x: Input array
:param int L: Length of the output array
:param float C: Value of the padded entries
:param int dim: Axis over which to pad or truncate **x**
- Ouput parameters:
:returns: Padded or truncated array
:rtype: numpy.ndarray
``postpad(x, L)`` will add zeros to the end of the vector **x**, until
the result has length **L**. If **L** is less than the length of the
signal, it will be truncated. ``postpad`` works along the first
non-singleton dimension.
``postpad(x, L, C)`` will add entries with a value of **C** instead of
zeros.
``postpad(x, L, C, dim)`` works along dimension **dim** instead of the
first non-singleton.
.. seealso::
:func:`~ltfatpy.fourier.middlepad.middlepad`
"""
if dim is None:
# by default, dim is the first non-singleton dimension
dim = int(np.nonzero(np.array(x.shape) > 1)[0][0])
x, L, Ls, W, dim, permutedsize, order = assert_sigreshape_pre(x, L, dim)
if Ls < L:
tmp = np.empty((L-Ls, W), dtype=x.dtype)
tmp[:] = C
y = np.concatenate((x, tmp), axis=0)
else:
y = x[:L, :].copy()
y = assert_sigreshape_post(y, dim, permutedsize, order)
return y
|
