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dtw-python

View on PyPI — Reverse Dependencies (14)

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-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Download: [link]
Size: 745629
MD5: 78b98220b65ae7ece8a7055098fcc2e9
SHA256: 77757c04af8398b450ff77b6f6568797980ffeda882a8f2a3d436945356ab070
Uploaded: 2024-03-19 07:46:49 +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: cp39-cp39-manylinux_2_17_x86_64
Tag: cp39-cp39-manylinux2014_x86_64

RECORD

Path Digest Size
dtw/stepPattern.py sha256=Z1TSbAVMsnhvPwyt1qDtXJdG2yw357Y9zZuSOti_gok 26034
dtw/dtw_core.h sha256=9VeIOZ2OkJDA793PEzknfsOOXI8ZB2UXKEJkk27kMGw 1271
dtw/_backtrack.py sha256=Gbi1Er7sVBVGU9zdBUjf_ZdFX3Xvgi7WBoiMD8Nw84M 2203
dtw/dtw.py sha256=1E4MYeTKR5gn2SOqUrEb1Q-MU0SyTRyFa_gpfCBn060 15681
dtw/dtwPlot.py sha256=QHu4txx_g8lDmWx47pCWbqk7kekBt3uk84S21ntKO0c 12039
dtw/countPaths.py sha256=ad2TljKxqndmDx4rhmFTjxueicYd33jetEDzz82k2gM 2761
dtw/_globalCostMatrix.py sha256=ONWvCgg9UcZ4ZzG_CQKzhk50IWNRZIh3kyLL_kt3b2M 1920
dtw/warp.py sha256=R8lLBa38Dw0pAUEYrAQmp9wFWnOZZ5cTprPimd2dRx0 3484
dtw/dtw_test_data.py sha256=-m0HfD_UOHJEDdf0PLQ2kWCrQfywhB7kwecCfBI8pH4 3575
dtw/_dtw_utils.pyx sha256=8VyWo94IRroY_wdvygFy9P7PPHvOauvjMvmYOh3RmJE 2999
dtw/__main__.py sha256=8MwHLSzP9Mh-T96bDfmq_zf864GEzHlmgPN3G-liDqY 1410
dtw/__init__.py sha256=pBHdDtNysrFn7MdnczVyr78LJgwSbfzW4g5tStfDgUw 1104
dtw/_dtw_utils.c sha256=KBmxnNlraQ3-wkamEvm01LpLZWIW6hCm9UvpeHuQymQ 1197991
dtw/window.py sha256=rtrhSEFLF0MPEwCwbtacJZUPOZjiphB2CyNE1Xf2__Q 5800
dtw/mvm.py sha256=hSCmWXgmW5JQviRPhLM3YP0QzccTPpYbVaEkSPRobm4 3073
dtw/_dtw_utils.cpython-39-x86_64-linux-gnu.so sha256=G2WHuOLW-RCYzEWRM01skvA1djHXwBMPy661vzmTJpI 1558536
dtw/dtw_core.c sha256=FV4v8loQr_DCdcC3XAIyK3-UkzJ4349w3BbrpsChWl8 8418
dtw/warpArea.py sha256=yLz5zS53wqrBY-o0eXThMer2g6zaCDLpwfUAkGlpgS4 2731
dtw/data/README.txt sha256=UzAXkLqlzjHc7-vvVIpLP2BqIxkQcvTitAQ8UF2WbE8 501
dtw/data/aami3a.csv sha256=Et1lAfJ0ZnP5T3kOv-BulRGuMFNGNXXiealTFxFaXnA 250698
dtw/data/aami3b.csv sha256=Sk6DPVZNMduyvMbMtFQc5meZnlqR9HHAiEp_B1I8Xng 252781
dtw_python-1.4.2.dist-info/RECORD — —
dtw_python-1.4.2.dist-info/entry_points.txt sha256=orLlgtCdI8Hp1Yzf6uZNADOuUC1P-5tG-VWtgsYCAKk 42
dtw_python-1.4.2.dist-info/AUTHORS.rst sha256=yFj6t9rluCnD6KJxj88g7JRcmwXsdtJ0HEIWaFefuY8 149
dtw_python-1.4.2.dist-info/WHEEL sha256=rY0Y6THYM7EImsHfF-zs67o8pQciAsMw9_YuSvftjrQ 148
dtw_python-1.4.2.dist-info/METADATA sha256=X80Wvepd060AFDLCjJ5_Pqd-hcshEASRalR0UyXZ0Fw 7550
dtw_python-1.4.2.dist-info/COPYING sha256=OXLcl0T2SZ8Pmy2_dmlvKuetivmyPd5m1q-Gyd-zaYY 35149
dtw_python-1.4.2.dist-info/top_level.txt sha256=1ifHycuL2nGfdMqj8AupbXgI8OVrskwR2rfuJRUxbUM 4

top_level.txt

dtw

entry_points.txt

[console_scripts]
dtw = dtw.__main__:main