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nanodeep

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0.0.3 nanodeep-0.0.3-py3-none-any.whl

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Project: nanodeep
Version: 0.0.3
Filename: nanodeep-0.0.3-py3-none-any.whl
Download: [link]
Size: 610476
MD5: 2a8ac2f9a80ebc3e4f62824ab2b7a14d
SHA256: 9ff0c0b31a242743fb11de756d0082007e49715b7841206430506602145068ba
Uploaded: 2023-05-17 03:20:01 +0000

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

METADATA

Metadata-Version: 2.1
Name: nanodeep
Version: 0.0.3
Summary: A package used to achieve adaptive sample
Author: Yusen Lin
Author-Email: 1014903773[at]qq.com
Home-Page: https://github.com/shadow-lang
License: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Requires-Dist: numpy (>=1.20.0)
Requires-Dist: torch (>=1.13.1)
Requires-Dist: torchmetrics (==0.9.0)
Requires-Dist: matplotlib (>=3.4.0)
Requires-Dist: ont-fast5-api (>=4.1.1)
Requires-Dist: scikit-learn (>=1.0)
Requires-Dist: tqdm (>=4.64.1)
Requires-Dist: PyYAML (>=6.0)
Requires-Dist: importlib-metadata (>=6.0.0)
Requires-Dist: importlib-resources (>=5.12.0)
Requires-Dist: grpcio (>=1.47.0)
Requires-Dist: protobuf (>=3.20.1)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 6252 characters]

WHEEL

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nanodeep-0.0.3.dist-info/RECORD — —

top_level.txt

bream4
checks
minknow
minknow_api
nanodeep
read_deep
read_until
sequencing
shared
utility

entry_points.txt

[console_scripts]
nanodeep_adaptivesample = nanodeep.nanodeep_adaptivesample:main
nanodeep_testmodel = nanodeep.nanodeep_testmodel:main
nanodeep_trainmodel = nanodeep.nanodeep_trainmodel:main