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0.1.5 diarizationlm-0.1.5-py3-none-any.whl

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Project: diarizationlm
Version: 0.1.5
Filename: diarizationlm-0.1.5-py3-none-any.whl
Download: [link]
Size: 24845
MD5: 3c0ef778c80d902ede1438d928359153
SHA256: 044f02fce92aed86380d58229231d24c9118b63f5b190dd6c13742eb34cabc40
Uploaded: 2025-03-31 13:26:46 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: diarizationlm
Version: 0.1.5
Summary: DiarizationLM
Author: Quan Wang
Author-Email: quanw[at]google.com
Home-Page: https://github.com/google/speaker-id/tree/master/DiarizationLM
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Requires-Dist: numpy
Requires-Dist: numba
Requires-Dist: scipy
Requires-Dist: tensorflow-text
Requires-Dist: absl-py
Requires-Dist: openai
Requires-Dist: datasets
Requires-Dist: tqdm
Requires-Dist: colortimelog
Requires-Dist: word-levenshtein
Description-Content-Type: text/markdown
[Description omitted; length: 10806 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.1.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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diarizationlm/levenshtein.py sha256=T7Efeit8GMfD6RRDAGyaFyJ2d7cI0PIQSIKPNfKFX6A 2544
diarizationlm/levenshtein_test.py sha256=WR-3-r9CS1Bvand2EZvu8s5YElEPWT9WlYwef36Cc8A 1058
diarizationlm/metrics.py sha256=bU_Ntm9L2khu9sk2NFPVF3VyMst53R7egcGCSXkyPks 9573
diarizationlm/metrics_test.py sha256=MlIm9FLBSLs92iFs-gPsym0gA_UjSl3b8E5m9zVGKp8 9133
diarizationlm/utils.py sha256=bUJjQNd92OFGDU1G8B-K5_4QEwmA6a-4Q2JX4LrQiso 16602
diarizationlm/utils_test.py sha256=mNNlSq1jfgAy9S2OaQlMxJAOIEGlQGTx9eGcXtBDSfY 33788
diarizationlm-0.1.5.dist-info/METADATA sha256=QzNNTIJY2WDmaJGSXJsIRZXvOeFjZ6Sxi4cb6KsajUY 11451
diarizationlm-0.1.5.dist-info/WHEEL sha256=GV9aMThwP_4oNCtvEC2ec3qUYutgWeAzklro_0m4WJQ 91
diarizationlm-0.1.5.dist-info/top_level.txt sha256=opHO8YQKrHvAW1GGWuJouH8sm-564gb5TII9cqIDOAU 14
diarizationlm-0.1.5.dist-info/RECORD — —

top_level.txt

diarizationlm