forked from Cornerstone-OnDemand/modelkit
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathsetup.cfg
115 lines (100 loc) · 1.85 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
[bumpversion]
current_version = 0.0.28
commit = True
tag = True
[metadata]
name = modelkit
description = Machine learning lib.
long_description = file: README.md, HISTORY.md
long_description_content_type = text/markdown
classifiers =
Programming Language :: Python :: 3
Programming Language :: Python :: 3.8
Programming Language :: Python :: 3.9
Programming Language :: Python :: 3.10
Programming Language :: Python :: 3.11
home-page = https://idpy.org
project_urls =
Bug Tracker = https://github.com/Cornerstone-OnDemand/modelkit/issues
Documentation = https://Cornerstone-OnDemand.github.io/modelkit/
Source Code = https://github.com/Cornerstone-OnDemand/modelkit
[options]
zip_safe = False
include_package_data = True
packages = find:
install_requires =
aiohttp
asgiref
cachetools
click
filelock
humanize
pydantic
python-dateutil
redis
requests
rich
sniffio
structlog
tenacity
typing_extensions
tabulate
[options.extras_require]
tensorflow =
grpcio
tensorflow
tensorflow-serving-api
cli =
networkx
memory-profiler
fastapi
uvicorn
api =
fastapi
uvicorn
assets-s3 =
boto3
assets-gcs =
google-cloud-storage
assets-az =
azure-storage-blob
[options.packages.find]
where = .
exclude =
tests
[options.package_data]
modelkit = py.typed
[tool:pytest]
addopts =
--strict
--verbose
--tb=native
-vv
--failed-first
--disable-warnings
--durations 10
--color=yes
tests
[tool:isort]
profile = black
[flake8]
max-line-length = 88
extend-ignore = E203
[coverage:run]
source = modelkit
omit =
modelkit/assets/cli.py
modelkit/cli.py
[coverage:report]
fail_under = 90
precision = 2
[mypy]
ignore_missing_imports = True
plugins = pydantic.mypy
[mypy-azure.storage.blob.*]
ignore_errors = True
[options.entry_points]
console_scripts =
modelkit = modelkit.cli:modelkit_cli
[bumpversion:file:modelkit/__init__.py]
[bumpversion:file:setup.py]