Merge pull request #1987 from Jackwaterveg/r1.0

[R1.0] delete dtaidistance
r1.0
Jackwaterveg 2 years ago committed by GitHub
commit 8c7c689cea
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@ -11,6 +11,5 @@
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from .dtw import dtw_distance
from .eer import compute_eer
from .eer import compute_minDCF

@ -1,44 +0,0 @@
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import numpy as np
from dtaidistance import dtw_ndim
__all__ = [
'dtw_distance',
]
def dtw_distance(xs: np.ndarray, ys: np.ndarray) -> float:
"""Dynamic Time Warping.
This function keeps a compact matrix, not the full warping paths matrix.
Uses dynamic programming to compute:
Examples:
.. code-block:: python
wps[i, j] = (s1[i]-s2[j])**2 + min(
wps[i-1, j ] + penalty, // vertical / insertion / expansion
wps[i , j-1] + penalty, // horizontal / deletion / compression
wps[i-1, j-1]) // diagonal / match
dtw = sqrt(wps[-1, -1])
Args:
xs (np.ndarray): ref sequence, [T,D]
ys (np.ndarray): hyp sequence, [T,D]
Returns:
float: dtw distance
"""
return dtw_ndim.distance(xs, ys)

@ -19,7 +19,7 @@ from setuptools.command.install import install
from setuptools.command.test import test
# set the version here
VERSION = '1.0.0'
VERSION = '1.0.1'
# Inspired by the example at https://pytest.org/latest/goodpractises.html
@ -83,7 +83,7 @@ setuptools.setup(
python_requires='>=3.6',
install_requires=[
'numpy >= 1.15.0', 'scipy >= 1.0.0', 'resampy >= 0.2.2',
'soundfile >= 0.9.0', 'colorlog', 'dtaidistance == 2.3.1', 'pathos'
'soundfile >= 0.9.0', 'colorlog', 'pathos == 0.2.8'
],
extras_require={
'test': [

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