Wheelodex » Projects » annopro » annopro-0.2-py3-none-any.whl

annopro

View on PyPI — Reverse Dependencies (0)

0.2 annopro-0.2-py3-none-any.whl

Wheel Details

Project: annopro
Version: 0.2
Filename: annopro-0.2-py3-none-any.whl
Download: [link]
Size: 26277
MD5: a747b08b19cb93ff8c6f98d911de8e2e
SHA256: bdf2b3f02e16bd50a4966c75b13903c689abe5adb99bbf5d5facc7d5ee1ec391
Uploaded: 2023-03-12 14:43:45 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: annopro
Version: 0.2
Summary: A simple python package for annotating protein sequences
Author-Email: "Zheng.L.Y" <zhenglingyan[at]zju.edu.cn>, "Zhang.H.N" <zhang.h.n[at]foxmail.com>
Project-Url: Homepage, https://github.com/idrblab/AnnoPRO
Project-Url: Bug Tracker, https://github.com/idrblab/AnnoPRO/issues
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Environment :: Console
Requires-Python: >=3.8
Requires-Dist: llvmlite (>=0.38.1)
Requires-Dist: numpy (<=1.19.5)
Requires-Dist: pandas (<=1.4.8,>=1.2.4)
Requires-Dist: scikit-learn (>=1.0.2)
Requires-Dist: scipy (<=1.9.5,>=1.4.1)
Requires-Dist: tensorflow (<=2.6.5,>=2.5.0)
Requires-Dist: threadpoolctl (>=3.1.0)
Requires-Dist: fasta (>=2.3.2)
Requires-Dist: wget
Requires-Dist: diamond4py (>=0.0.2rc2)
Requires-Dist: profeatpy (>=0.0.2)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 3272 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
annopro/__init__.py sha256=E_9_olbmRcLAHqyS-Gob7zq1qVA6z02ynGuzCUYqoi4 2924
annopro/__main__.py sha256=pW7jjv-2526sCWjCL8gBNTnlCqVdzs-kgCMYJl_VaJU 79
annopro/_version.py sha256=pXFgwtZCof_1UlFf-1Ow9mpB-mF0zB28yGJfRRQxSvM 495
annopro/prediction.py sha256=txa5x2ikTeNkB_izJgV_H-vMq42IMAXne5xUtraniTA 7046
annopro/resources.py sha256=mh1V8nF7vI_b1wm2_n8KgaTo8gn94EfZCDHgr6hAtfg 3943
annopro/data_procession/__init__.py sha256=Flzi4W2Uii4GCip3AGpQ--X32CxLJ4R6gJlUA33_PK8 472
annopro/data_procession/data_predict.py sha256=GUK63HAyW5TubGJnGhkNI82D5895i5KJQ39TZyurLdU 4125
annopro/data_procession/utils.py sha256=IkDvazn5lwepjzn1Y1ZO-27aEiLEt74bEt_kSo8YIyM 8805
annopro/focal_loss/__init__.py sha256=4pK78vmv-uNCzKmnLV6EQQmP4kyb6Q_ffqiaMhsk_4A 588
annopro/focal_loss/_binary_focal_loss.py sha256=WZfsxyFpEzg1s27pdhr5dchQB3AB7NlDcHkthavcgr4 20434
annopro/focal_loss/_categorical_focal_loss.py sha256=RO0XPLX6qMtw_T596QoWCmSe1Hpqko8NoNSDukK5cLY 11611
annopro/focal_loss/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
annopro/focal_loss/utils/validation.py sha256=T-cncmfpvsVVcSRxrWSR17M-KX3haE_4_5kCfqvQby8 9423
annopro-0.2.dist-info/LICENSE sha256=iIye4vBs6jBNvA_V_7_ryK8s0vnND_QGKja7I_RxzcM 1064
annopro-0.2.dist-info/METADATA sha256=8NikkJH8jQQqV5JuxxME1ib4H4MjEpN_h2fIR8805l0 4337
annopro-0.2.dist-info/WHEEL sha256=2wepM1nk4DS4eFpYrW1TTqPcoGNfHhhO_i5m4cOimbo 92
annopro-0.2.dist-info/entry_points.txt sha256=mPoYgctX0cwQBMvK7l_2REsIiuZkce2caXkSFaMusQs 49
annopro-0.2.dist-info/top_level.txt sha256=IJ2c0kHIZ4qNf-E-XmFkGhI3-K8C97mRblix28lht8E 8
annopro-0.2.dist-info/RECORD — —

top_level.txt

annopro

entry_points.txt

[console_scripts]
annopro = annopro:console_main