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dtwr

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0.3.9 dtwr-0.3.9-cp36-cp36m-macosx_10_7_x86_64.whl

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Project: dtwr
Version: 0.3.9
Filename: dtwr-0.3.9-cp36-cp36m-macosx_10_7_x86_64.whl
Download: [link]
Size: 312587
MD5: 95cacb71b991bcbb5bcb5c060996ca90
SHA256: de6e86ebd6630eac34c696fb04bae6c5c5e0dfd7805cd6c89c340b5cdc99481f
Uploaded: 2019-08-30 08:24:51 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: dtwr
Version: 0.3.9
Summary: A comprehensive implementation of dynamic time warping (DTW) algorithms in R. 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: dtwr
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: GNU Lesser General Public License v2 or later (LGPLv2+)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Requires-Dist: numpy (>=1.12)
Requires-Dist: scipy (>=1.1)
Requires-Dist: cython (>=0.29)
[Description omitted; length: 5423 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.33.4)
Root-Is-Purelib: false
Tag: cp36-cp36m-macosx_10_7_x86_64

RECORD

Path Digest Size
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dtwr/_backtrack.py sha256=66KMA-zqrZ3mdwWxWtzjRJK8oAuFhPxeSBMdNBCXElw 2101
dtwr/_cli.py sha256=Z0BRbK7MgE6K5VaQQS9kPa_l6AXWCA1qUWg_tlmgIqg 1366
dtwr/_dtw_utils.c sha256=r2TzdAkXKtEOuoovrJiHm24T4Zv8_Xz--nqwGaaDnAY 982939
dtwr/_dtw_utils.cpython-36m-darwin.so sha256=I7zq2BiO_bU_zwaQmWtvf8m3iJTselmjeSgj6SHyNRM 210808
dtwr/_dtw_utils.pyx sha256=xx08A2_-Z_9Sl7cn5LdO-1HYugT-SHtNvN9e-f4M-sw 2977
dtwr/_globalCostMatrix.py sha256=2LxUvI675bBNkhMiK1jKuG3PYz7k2EtzlcczlPZU7yI 1976
dtwr/countPaths.py sha256=AO5I0n4_7fuLEs-JcT9giM_zxAZ3iQXwfUgXF8FgGTo 2762
dtwr/data.py sha256=28lARaVnrY67tSRzjPhGSkm0ZW5uQndl1zg5Oz87iiQ 3349
dtwr/dtw.py sha256=jiGR5yeZs5Etz8zaE5K1Vps2MJWt6wcIvYguwbmldeg 16039
dtwr/dtwPlot.py sha256=VdoIAijOd2fyVv0Ubr2J5CZEhCWOuL1IZAXoBC5yoH8 12077
dtwr/dtw_computeCM.c sha256=eU1YDvoT4fkjZX5IhBCWeWxdm-yTDuMfGJfKYkBPLjM 9218
dtwr/dtw_computeCM.h sha256=ESTDMeglvF6pB6Nni8SUSFRDWCopi0QPtxaMDccOvZk 544
dtwr/mvm.py sha256=K74i-0_STjL-e_1G7dbxzbIm8573cfQaHRO2FxDPCJM 3024
dtwr/stepPattern.py sha256=FIEPL3lqQpmJdH03G11Uvh5OHQl-RL7rhIbgv8BTQR8 25657
dtwr/warp.py sha256=F8FzMtrWBC7AiuHAtnIendAdLkAnSAqcxba01UphjyY 3007
dtwr/warpArea.py sha256=_Td8zBe4cV7MLmG4SeMqdpeI-4PKYbsYp02CvVdfhPg 2641
dtwr/window.py sha256=Wx_45aEfvtMrwpbSN4M5dT-ld9AL0Ak0PIRzjErxnQ0 5661
dtwr/data/README.txt sha256=UzAXkLqlzjHc7-vvVIpLP2BqIxkQcvTitAQ8UF2WbE8 501
dtwr/data/aami3a.csv sha256=Et1lAfJ0ZnP5T3kOv-BulRGuMFNGNXXiealTFxFaXnA 250698
dtwr/data/aami3b.csv sha256=Sk6DPVZNMduyvMbMtFQc5meZnlqR9HHAiEp_B1I8Xng 252781
dtwr-0.3.9.dist-info/AUTHORS.rst sha256=MnejoAXMBIO4G32s3sp5GdRg4LZlMLqZ652Pitz_2DY 162
dtwr-0.3.9.dist-info/LICENSE sha256=mq7yegUjxBBM2IN8izE4PFLJ2rLSejTZgOkEDMwg4Ho 1584
dtwr-0.3.9.dist-info/METADATA sha256=imb9DCRVPsaXk1yWQa8gjorsmhyrix81BoTGQ-UP7eE 6710
dtwr-0.3.9.dist-info/WHEEL sha256=09Y_SZ9JdvNE6ud4_JD4dEHcYGjZ1D6z-OOOrK32dFw 110
dtwr-0.3.9.dist-info/entry_points.txt sha256=BdTKH3AG-hy5tA5q7bh7d4MdrxTl8--0HjZBNc5yQh4 40
dtwr-0.3.9.dist-info/top_level.txt sha256=QYqPN_YO-_9lh7herpf4ZlWLgDei6hHASzjC25t8hXw 5
dtwr-0.3.9.dist-info/RECORD — —

top_level.txt

dtwr

entry_points.txt

[console_scripts]
dtw = dtwr._cli:main