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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-cp36-cp36m-macosx_10_9_x86_64.whl
Download: [link]
Size: 362438
MD5: 4fbc12a1aeeedb4f409bf7aa042edea4
SHA256: 92ea7b346afb1792495e1ea1477785c01d11a7cf8cb252a1c5189a1c8d1936c8
Uploaded: 2024-03-19 07:46:31 +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: 6204 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: false
Tag: cp36-cp36m-macosx_10_9_x86_64

RECORD

Path Digest Size
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dtw/__main__.py sha256=8MwHLSzP9Mh-T96bDfmq_zf864GEzHlmgPN3G-liDqY 1410
dtw/_backtrack.py sha256=Gbi1Er7sVBVGU9zdBUjf_ZdFX3Xvgi7WBoiMD8Nw84M 2203
dtw/_dtw_utils.c sha256=rb6eEJf9SvOBzfrLIKBYDek7xWDBkA9WzDDpe4kHI9Y 1210693
dtw/_dtw_utils.cpython-36m-darwin.so sha256=cQC4bw0JvsJSiJfkzAfs3yorV5zKTXnPZyeQ4GrD1nQ 234304
dtw/_dtw_utils.pyx sha256=8VyWo94IRroY_wdvygFy9P7PPHvOauvjMvmYOh3RmJE 2999
dtw/_globalCostMatrix.py sha256=ONWvCgg9UcZ4ZzG_CQKzhk50IWNRZIh3kyLL_kt3b2M 1920
dtw/countPaths.py sha256=ad2TljKxqndmDx4rhmFTjxueicYd33jetEDzz82k2gM 2761
dtw/dtw.py sha256=1E4MYeTKR5gn2SOqUrEb1Q-MU0SyTRyFa_gpfCBn060 15681
dtw/dtwPlot.py sha256=QHu4txx_g8lDmWx47pCWbqk7kekBt3uk84S21ntKO0c 12039
dtw/dtw_core.c sha256=FV4v8loQr_DCdcC3XAIyK3-UkzJ4349w3BbrpsChWl8 8418
dtw/dtw_core.h sha256=9VeIOZ2OkJDA793PEzknfsOOXI8ZB2UXKEJkk27kMGw 1271
dtw/dtw_test_data.py sha256=-m0HfD_UOHJEDdf0PLQ2kWCrQfywhB7kwecCfBI8pH4 3575
dtw/mvm.py sha256=hSCmWXgmW5JQviRPhLM3YP0QzccTPpYbVaEkSPRobm4 3073
dtw/stepPattern.py sha256=Z1TSbAVMsnhvPwyt1qDtXJdG2yw357Y9zZuSOti_gok 26034
dtw/warp.py sha256=R8lLBa38Dw0pAUEYrAQmp9wFWnOZZ5cTprPimd2dRx0 3484
dtw/warpArea.py sha256=yLz5zS53wqrBY-o0eXThMer2g6zaCDLpwfUAkGlpgS4 2731
dtw/window.py sha256=rtrhSEFLF0MPEwCwbtacJZUPOZjiphB2CyNE1Xf2__Q 5800
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/AUTHORS.rst sha256=yFj6t9rluCnD6KJxj88g7JRcmwXsdtJ0HEIWaFefuY8 149
dtw_python-1.4.2.dist-info/COPYING sha256=OXLcl0T2SZ8Pmy2_dmlvKuetivmyPd5m1q-Gyd-zaYY 35149
dtw_python-1.4.2.dist-info/METADATA sha256=8KL9Fg2C1oImgSvvwh2EIH7JkEnAkwSP13BoKc2VF-I 7574
dtw_python-1.4.2.dist-info/WHEEL sha256=ye8A2lA8pjGNe7-ueOpggarJAhczq3EZGqnLZzzfQYQ 110
dtw_python-1.4.2.dist-info/entry_points.txt sha256=Dk2sgRWE2qi59nbdgL5L0iA4xjBjDzuv_AfNzjksvkU 43
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