forked from capitalone/rubicon-ml
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathsetup.cfg
126 lines (117 loc) · 2.83 KB
/
setup.cfg
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
[metadata]
name = rubicon-ml
description = "an ML library for model development and governance"
long_description = file: README.md
long_description_content_type = text/markdown
author = "Joe Wolfe, Ryan Soley, Diane Lee, Mike McCarty, CapitalOne"
license = "Apache License, Version 2.0"
url = https://github.com/capitalone/rubicon-ml
python_requires =
>=3.8.0
project_urls =
Documentation = https://capitalone.github.io/rubicon-ml/
Bug Tracker = https://github.com/capitalone/rubicon-ml/issues
Source Code = https://github.com/capitalone/rubicon-ml
classifiers =
Development Status :: 4 - Beta
Intended Audience :: Developers
Intended Audience :: Science/Research
Topic :: Scientific/Engineering
Topic :: Scientific/Engineering :: Information Analysis
Topic :: Software Development :: Build Tools
Topic :: Software Development :: Documentation
License :: OSI Approved :: Apache Software License
Programming Language :: Python :: 3
[options]
zip_safe = False
include_package_data = True
packages = find:
install_requires =
click<=8.1.3,>=7.1
fsspec<=2023.5.0,>=2021.4.0
intake[dataframe]<=0.7.0,>=0.5.2
numpy<=1.24.3,>=1.22.0
pandas<=2.0.2,>=1.0.0
pyarrow<=12.0.0,>=0.18.0
PyYAML<=6.0,>=5.4.0
scikit-learn<=1.2.2,>=0.22.0
[options.extras_require]
prefect =
prefect<=1.2.4,>=0.12.0
s3 =
s3fs<=2023.5.0,>=0.4
ui =
dash<=2.10.2,>=2.0.0
dash-bootstrap-components<=1.4.1,>=1.0.0
viz =
dash<=2.10.2,>=2.0.0
dash-bootstrap-components<=1.4.1,>=1.0.0
all =
dash<=2.10.2,>=2.0.0
dash-bootstrap-components<=1.4.1,>=1.0.0
prefect<=1.2.4,>=0.12.0
s3fs<=2023.5.0,>=0.4
[options.entry_points]
console_scripts =
rubicon_ml = rubicon_ml.cli:cli
intake.drivers =
rubicon_ml_experiment = rubicon_ml.intake_rubicon.experiment:ExperimentSource
[versioneer]
vcs = git
style = pep440
versionfile_source = rubicon_ml/_version.py
versionfile_build = rubicon_ml/_version.py
tag_prefix = ""
parentdir_prefix = rubicon-ml-
[flake8]
exclude = versioneer.py, rubicon_ml/_version.py, docs, .ipynb_checkpoints
max-line-length = 88
ignore =
E731
E741
W503
E203
E501
[isort]
line_length = 88
skip = versioneer.py, rubicon_ml/_version.py, rubicon_ml/client/__init__.py
filter_files = True
multi_line_output = 3
include_trailing_comma = True
force_grid_wrap = 0
combine_as_imports = True
[tool:pytest]
markers =
run_notebooks: tests that run Jupyter notebooks
write_files: tests that physically write files to local and S3 filesystems
addopts = --cov=./rubicon_ml --cov-report=term-missing --cov-fail-under=90 -m="not write_files"
minversion = 3.2
xfail_strict = True
[edgetest.envs.core]
python_version = 3.9
deps =
dask
jupyterlab
kaleido
nodejs
nbconvert
nbformat
palmerpenguins
Pillow
pytest
pytest-cov
prefect
extras =
all
upgrade =
click
dash
dash-bootstrap-components
fsspec
intake[dataframe]
numpy
pandas
pyarrow
PyYAML
s3fs
scikit-learn