cyberlabrat

View on PyPIReverse Dependencies (0)

0.1.10 cyberlabrat-0.1.10-py3-none-any.whl

Wheel Details

Project: cyberlabrat
Version: 0.1.10
Filename: cyberlabrat-0.1.10-py3-none-any.whl
Download: [link]
Size: 42524
MD5: 9e7a66ca0ed475ac2b78298fdfba6198
SHA256: 9d8f70abff4a2f4f9f14d3f1fabfb797ff72d2bda9e87493a81c9549592046ff
Uploaded: 2024-10-11 17:49:49 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: cyberlabrat
Version: 0.1.10
Summary: Contains the classes used for generix data analysis
Author: Jasmine Butler & Remi Corne
Author-Email: remi.corne[at]gmail.com
Home-Page: https://github.com/jjb-hub/phd
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Requires-Dist: pandas (==2.0.3)
Requires-Dist: matplotlib (==3.7.3)
Requires-Dist: outlier-utils
Requires-Dist: pingouin
Requires-Dist: scipy
Requires-Dist: remi-statannotations-fork
Requires-Dist: setuptools
Requires-Dist: statsmodels
Requires-Dist: openpyxl
Requires-Dist: pydantic
Requires-Dist: pytest
Requires-Dist: tqdm
Requires-Dist: ipykernel
Requires-Dist: ipywidgets
Requires-Dist: IPython
Requires-Dist: networkx
Description-Content-Type: text/markdown
[Description omitted; length: 1950 characters]

WHEEL

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

RECORD

Path Digest Size
cyberlabrat/__init__.py sha256=I52N5SJbuvU1rRQU8CAiZKDhMmQVNI11fmg0jmaavi0 93
cyberlabrat/core/Cacheable.py sha256=cW7GNZII22kwunIvB8ALcdTwJcWNgCRIuO6_qBT_WnE 3651
cyberlabrat/core/Constants.py sha256=T_GVdVP461cRirrmtHSMwIpUzFve5rSx8RNM7NoRExo 3231
cyberlabrat/core/DataSelection.py sha256=hYYw5zOlkPpWt5btMZUgObDKtsqFHaqe6UavhJ-xveo 7659
cyberlabrat/core/Dataset.py sha256=IJcPyFYRHrF6YiFM1suQZqaIYK3FIWgpX-9NsT84xJo 5154
cyberlabrat/core/Figure.py sha256=IBQzyjSkR0-mTLnk8BmO7BBWW50qUMGcWuO8yIT5-oc 27195
cyberlabrat/core/FileSystem.py sha256=IrV9Ls2VHJzJQuLiRHQh81VlgwDFm_9RNBzq9nT7UXU 1566
cyberlabrat/core/HPLC.py sha256=UN0pusPBomfgGDJf8QciNDO9MV_kxbngHa_TM7hQdz8 9924
cyberlabrat/core/JSON.py sha256=CKlvg80TOkEzdUMklpqNJovmAG3PNb8SH0v47LoIwJk 1955
cyberlabrat/core/Matrix.py sha256=OXkffHaUCj1SE_g-Nr2U5vSunyIXPijAaj_BIriZabo 17251
cyberlabrat/core/Metadata.py sha256=7CvzXMScAJ60ubybb9rzm5s_9gN2hH-XU95M5mYQffs 9719
cyberlabrat/core/Project.py sha256=jSqESNaPII5wNBqhH5RqM0-zr3FRaBR9p8oIDTcXu5Y 3366
cyberlabrat/core/Statistics.py sha256=cAI71dinCTLfdQE4uqgyZ6cBdgr-5cyQSyWoikD59XE 20157
cyberlabrat/core/__init__.py sha256=9UkMHgnpVIqstYD_fNHw27MqT_Qvet7J7z5MYAZgiwY 762
cyberlabrat/core/display.py sha256=XvM0JecPCg1HUQik5qtp4LVYtNm7cbjbai0ZTdakp5M 9940
cyberlabrat/core/questions.py sha256=q2sdZk-TSTo9yxdENCXXQNnEqEkRN9K9kw6U_q0nTGU 1118
cyberlabrat/core/utils.py sha256=KKVOEYBvCJRT9CMZbFQ4vyEQ6YjGCrviEs9z8HS2hnA 1369
cyberlabrat/json/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
cyberlabrat/json/circuits.json sha256=3TQCZf3byHitR2WyMO5TlpBBH4Je_AFGJAbUmT1LhvY 707
cyberlabrat/json/compound_classes.json sha256=wZzaiB6b9diCVNazxiuAbhuN1o8gYF8D6LaKJXBAcUE 491
cyberlabrat/json/compounds.json sha256=8vFg4VVEpsPKsVkDf46UIFzowi_Ax3wgmR1xZNvLpYI 664
cyberlabrat/json/region_classes.json sha256=-rV3ZgrsDzr9YW1VLrHbLZVWr14NJqFiaoOmkw5fsiY 987
cyberlabrat/json/regions.json sha256=8-dhQAtmJE9ZkdSQFsminQy4pJG5fd_-rmxt4NWU7N4 1601
cyberlabrat/json/regions_idealy.json sha256=hqEAwzGaZ8bYVs4Yw9F9Kbed19KJBO92E7XWJdAuIg4 1544
cyberlabrat-0.1.10.dist-info/METADATA sha256=G6BiIK8MomuPQtWHDIdljDaT6R7PY40tlx2sv4NNfXk 2809
cyberlabrat-0.1.10.dist-info/WHEEL sha256=GV9aMThwP_4oNCtvEC2ec3qUYutgWeAzklro_0m4WJQ 91
cyberlabrat-0.1.10.dist-info/top_level.txt sha256=V9BC5pIs7Sx8lcPikBAyH7RILlSlIjc3YnbRJqycFzI 12
cyberlabrat-0.1.10.dist-info/RECORD

top_level.txt

cyberlabrat