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dtw-python

View on PyPI — Reverse Dependencies (15)

1.4.2	dtw_python-1.4.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	dtw_python-1.4.2-cp39-cp39-win_amd64.whl
	dtw_python-1.4.2-cp39-cp39-macosx_10_9_x86_64.whl
	dtw_python-1.4.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	dtw_python-1.4.2-cp38-cp38-win_amd64.whl
	dtw_python-1.4.2-cp38-cp38-macosx_10_9_x86_64.whl
	dtw_python-1.4.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	dtw_python-1.4.2-cp37-cp37m-win_amd64.whl
	dtw_python-1.4.2-cp37-cp37m-macosx_10_9_x86_64.whl
	dtw_python-1.4.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	dtw_python-1.4.2-cp36-cp36m-win_amd64.whl
	dtw_python-1.4.2-cp36-cp36m-macosx_10_9_x86_64.whl
	dtw_python-1.4.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	dtw_python-1.4.2-cp312-cp312-win_amd64.whl
	dtw_python-1.4.2-cp312-cp312-macosx_10_9_x86_64.whl
	dtw_python-1.4.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	dtw_python-1.4.2-cp311-cp311-win_amd64.whl
	dtw_python-1.4.2-cp311-cp311-macosx_10_9_x86_64.whl
	dtw_python-1.4.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	dtw_python-1.4.2-cp310-cp310-win_amd64.whl
	dtw_python-1.4.2-cp310-cp310-macosx_10_9_x86_64.whl

Wheel Details

Project:	dtw-python
Version:	1.4.2
Filename:	dtw_python-1.4.2-cp310-cp310-win_amd64.whl
Download:	[link]
Size:	354765
MD5:	`7ee3b7e2fb457b2969d133c694d864b8`
SHA256:	`cfebbf77a21e50c691967a8a2e07f2687d4ed5c05e2655f04e4df0be4efad021`
Uploaded:	2024-03-19 07:46:18 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version:	2.1
Name:	dtw-python
Version:	1.4.2
Summary:	A comprehensive implementation of dynamic time warping (DTW) algorithms. DTW computes the optimal (least cumulative distance) alignment between points of two time series. Common DTW variants covered include local (slope) and global (window) constraints, subsequence matches, arbitrary distance definitions, normalizations, minimum variance matching, and so on. Provides cumulative distances, alignments, specialized plot styles, etc.
Author:	Toni Giorgino
Author-Email:	toni.giorgino[at]gmail.com
Home-Page:	https://DynamicTimeWarping.github.io
License:	GNU General Public License v3
Keywords:	dtw,timeseries
Classifier:	Development Status :: 4 - Beta
Classifier:	Intended Audience :: Science/Research
Classifier:	Topic :: Scientific/Engineering
Classifier:	License :: OSI Approved :: GNU General Public License v2 or later (GPLv2+)
Classifier:	Natural Language :: English
Classifier:	Programming Language :: Python :: 3.6
Classifier:	Programming Language :: Python :: 3.7
Classifier:	Programming Language :: Python :: 3.8
Classifier:	Programming Language :: Python :: 3.9
Classifier:	Programming Language :: Python :: 3.10
Requires-Python:	>=3.6
Requires-Dist:	numpy (>=1.19)
Requires-Dist:	scipy (>=1.1)
Description-Content-Type:	text/x-rst
License-File:	COPYING
License-File:	AUTHORS.rst

[Description omitted; length: 6202 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.43.0)
Root-Is-Purelib:	false
Tag:	cp310-cp310-win_amd64

RECORD

Path	Digest	Size
dtw/__init__.py	sha256=9eXcidXq7wtS4Os4YKWFiCWBfSIIYZJyfzF3E-p_Pzw	1141
dtw/__main__.py	sha256=_Fwc-5JNg6C_Zn2rdtrMz9-z7MVECteFU7B3AlAYb1U	1458
dtw/_backtrack.py	sha256=-SK7L2kK8OKff2RBJMSpyNkL82e8Ccf_0B0pa7Pj864	2285
dtw/_dtw_utils.c	sha256=QmfsBfVJIKb4U4akfFGdI7F-vrq5tMYvr2DuZNA1Ez0	1205968
dtw/_dtw_utils.cp310-win_amd64.pyd	sha256=ouOXSQXLIR-7vsvSRFwFAhBSzTjKXoTOgdUpYIXD1m4	163328
dtw/_dtw_utils.pyx	sha256=FRZLK0WCU1TMW67lT1XSnhR-KvCHXMVZhpUtJq1E82c	3114
dtw/_globalCostMatrix.py	sha256=g5bUqDjgSa2W3VMyRv2SlPJEpps6poDVGStVbetxiPM	1990
dtw/countPaths.py	sha256=PbWQkowEmHZf_6h8Sh0-EcMW5SKGN1E_O6T2rxNwyZA	2870
dtw/dtw.py	sha256=TTXCAQk7kECbOUn2V7Awsr_2K3_nTk5dPSBXNfY7xWo	16161
dtw/dtwPlot.py	sha256=PrPLThX8kylLBkXnW5CSMgOo_DbPuFVczwRQMMAa5n4	12445
dtw/dtw_core.c	sha256=CpFdxobZbKs3zxlGAwYZM4gB7VfhlQhQKHdZbu4JydM	8783
dtw/dtw_core.h	sha256=46vwe3F8URx9MqoVoFhIgrNwQCBiWsFWspyIXoMAfqM	1308
dtw/dtw_test_data.py	sha256=rI1F5_vI9KTlCnPc4wkuYz8KTMxlSZlz85xC7wnLyEs	3683
dtw/mvm.py	sha256=1I_CFDrn68zZn7zcMZrWHo0Wwme0dnsRoA7civr_Kro	3184
dtw/stepPattern.py	sha256=Y0qZp-NHToVVIaMv8uuuAFbDEQDuDN2bhSKHUUiRMzQ	27024
dtw/warp.py	sha256=p7z7GrKaAwoI6vPuKJEgDewQAGblSisVZ-41E52_jtw	3606
dtw/warpArea.py	sha256=pAg1ewtQnQK0S5_VN2hiehkS_CXXnNx17rVs0c5ec2Q	2828
dtw/window.py	sha256=T7orX_3v5DzQR7j10R7KbiRjTb9jX1rA6SYq_r918I0	5964
dtw/data/README.txt	sha256=TkH8JorhkHDb8AzoJSviT_dL2MV25FI_AtDNXjTyLOo	519
dtw/data/aami3a.csv	sha256=ctJ3qR4-IPlx-smdkIevpakbNR3-Uklf8wmVVqgY308	293779
dtw/data/aami3b.csv	sha256=KsY7fxFwm36f8KEKS09uG7TjY7q9jWd-XIfDN3Axfxk	295923
dtw_python-1.4.2.dist-info/AUTHORS.rst	sha256=QC9xW_bKQbq3AX4S27Lc2G4UvLacI5gAvbokxZsqNxs	163
dtw_python-1.4.2.dist-info/COPYING	sha256=IwGE9guuL-ryRPEKi6wFPI_zOhg7zDZbTYuHbSt_SAk	35823
dtw_python-1.4.2.dist-info/METADATA	sha256=8zBhLOJ2t82NdtIw9ejCd5pDZZMqX7HLFSCjV_PEmi4	7723
dtw_python-1.4.2.dist-info/WHEEL	sha256=lO6CqtLHCAi38X3Es1a4R1lAjZFvN010IMRCFo2S7Mc	102
dtw_python-1.4.2.dist-info/entry_points.txt	sha256=orLlgtCdI8Hp1Yzf6uZNADOuUC1P-5tG-VWtgsYCAKk	42
dtw_python-1.4.2.dist-info/top_level.txt	sha256=1ifHycuL2nGfdMqj8AupbXgI8OVrskwR2rfuJRUxbUM	4
dtw_python-1.4.2.dist-info/RECORD	—	—

top_level.txt

dtw

entry_points.txt

[console_scripts]

dtw = dtw.__main__:main