-
Notifications
You must be signed in to change notification settings - Fork 231
Expand file tree
/
Copy pathsetup.py
More file actions
executable file
·172 lines (156 loc) · 6.51 KB
/
Copy pathsetup.py
File metadata and controls
executable file
·172 lines (156 loc) · 6.51 KB
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
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
#!/usr/bin/env python
from setuptools import setup, find_packages
#FIXME: prevents pyproject.toml - same as https://github.com/SciTools/cartopy/issues/1270
import versioneer
def unique_flatten_dict(d):
return list(set(sum( d.values(), [] )))
core_requires = [
'numpy',
'palettable >= 3.0',
'pandas',
'lark >= 1.1, < 2',
'pyarrow >= 0.15.0',
'requests',
'typing-extensions',
'packaging >= 20.1',
'setuptools',
]
stubs = [
'pandas-stubs', 'types-defusedxml', 'types-requests', 'ipython', 'types-tqdm'
]
test_workarounds = []
dev_extras = {
'docs': [
'docutils==0.21.2',
'ipython==8.28',
'ipykernel==6.29.5', # For notebook execution validation
'Jinja2==3.1.4',
'myst-parser==4.0.0',
'nbsphinx==0.9.5',
'pygments>2.10',
'rstcheck[sphinx]>=6.0', # RST validation for documentation
'sphinx==8.0.2',
#'sphinx_autodoc_typehints==1.11.1',
'sphinx-copybutton==0.5.2',
'sphinx-book-theme==1.1.3',
],
'test': ['coverage', 'pytest-cov', 'ruff>=0.8.0', 'hypothesis', 'mock', 'mypy', 'pytest', 'pytest-xdist'] + stubs + test_workarounds,
'testai': [
'numba>=0.57.1' # https://github.com/numba/numba/issues/8615
],
'build': ['build']
}
base_extras_light = {
'igraph': ['igraph'],
'networkx': ['networkx>=2.5,<4'],
'gremlin': ['gremlinpython'],
'bolt': ['neo4j', 'neotime'],
'nodexl': ['openpyxl>=3.1.5', 'xlrd'],
'jupyter': ['ipython'],
'spanner': ['google-cloud-spanner'],
'kusto': ['azure-kusto-data', 'azure-identity'],
'polars': ['polars>=1.29'], # Expr.round(mode=) shipped in py-1.29.0 (pola-rs/polars#22248)
}
base_extras_heavy = {
'umap-learn': ['umap-learn','skrub', 'scikit-learn', 'scipy'],
'networkx-scipy': ['networkx>=2.5,<4', 'scipy>=1.5,<2'],
'pygraphviz': ['pygraphviz'], # + apt-get graphviz, graphviz-dev
'rapids': [
"cudf-cu12==24.12.*", "dask-cudf-cu12==24.12.*", "cuml-cu12==24.12.*",
"cugraph-cu12==24.12.*", "nx-cugraph-cu12==24.12.*",
#"cuspatial-cu12==24.12.*",
#"cuproj-cu12==24.12.*", "cuxfilter-cu12==24.12.*", "cucim-cu12==24.12.*",
#"pylibraft-cu12==24.12.*", "raft-dask-cu12==24.12.*", "cuvs-cu12==24.12.*",
],
}
# https://github.com/facebookresearch/faiss/issues/1589 for faiss-cpu 1.6.1, #'setuptools==67.4.0' removed
base_extras_heavy['ai'] = base_extras_heavy['umap-learn'] + ['scipy', 'torch', 'sentence-transformers', 'faiss-cpu', 'joblib']
# DGL extras are split by runtime flavor. CPU is pinned to the last
# compatible stack; GPU is available as a separate opt-in extra (not
# included in 'all' to avoid torch conflicts).
base_extras_heavy['dgl-cpu'] = [
'torch==2.0.1',
'torchdata==0.6.1',
'dgl==2.1.0',
]
dgl_gpu_extra = {
'dgl-gpu': [
'torch==2.4.1',
'dgl-cu12==2.4.0',
]
}
base_extras = {**base_extras_light, **base_extras_heavy}
extras_require = {
**base_extras_light,
**base_extras_heavy,
**dev_extras,
**dgl_gpu_extra,
#kitchen sink for users -- not recommended
'all': unique_flatten_dict(base_extras),
#kitchen sink for contributors, skips ai
'dev': unique_flatten_dict(base_extras_light) + unique_flatten_dict(dev_extras),
}
setup(
name='graphistry',
version=versioneer.get_version(),
cmdclass=versioneer.get_cmdclass(),
packages = find_packages(),
platforms='any',
description = 'A visual graph analytics library for extracting, transforming, displaying, and sharing big graphs with end-to-end GPU acceleration',
long_description=open("./README.md").read(),
long_description_content_type='text/markdown',
url='https://github.com/graphistry/pygraphistry',
download_url= 'https://pypi.python.org/pypi/graphistry/',
python_requires='>=3.8',
author='The Graphistry Team',
author_email='pygraphistry@graphistry.com',
install_requires=core_requires,
extras_require=extras_require,
license='BSD',
classifiers=[
'Development Status :: 6 - Mature',
'Environment :: Console',
'Environment :: GPU :: NVIDIA CUDA',
'License :: OSI Approved :: BSD License',
'Operating System :: OS Independent',
'Intended Audience :: Developers',
'Intended Audience :: Information Technology',
'Intended Audience :: Science/Research',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: 3.10',
'Programming Language :: Python :: 3.11',
'Programming Language :: Python :: 3.12',
'Topic :: Internet :: Log Analysis',
'Topic :: Database :: Front-Ends',
'Topic :: Multimedia :: Graphics',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Topic :: Scientific/Engineering :: Bio-Informatics',
'Topic :: Scientific/Engineering :: Information Analysis',
'Topic :: Scientific/Engineering :: Visualization',
'Topic :: Sociology',
'Topic :: Software Development :: Libraries',
'Topic :: Software Development :: User Interfaces',
'Topic :: Software Development :: Widget Sets',
'Topic :: System :: Distributed Computing'
],
project_urls = {
"Homepage": "https://www.graphistry.com",
"Repository": "https://github.com/graphistry/pygraphistry",
"Documentation": "https://pygraphistry.readthedocs.io/",
"Changelog": "https://github.com/graphistry/pygraphistry/blob/master/CHANGELOG.md",
"Issues": "https://github.com/graphistry/pygraphistry/issues",
"Funding": "https://www.graphistry.com",
"Download": "https://pypi.org/project/graphistry/#files",
"Slack": "https://graphistry-community.slack.com",
"Twitter": "https://twitter.com/graphistry",
"LinkedIn": "https://www.linkedin.com/company/graphistry",
"Contributing": "https://github.com/graphistry/pygraphistry/blob/master/CONTRIBUTING.md",
"License": "https://github.com/graphistry/pygraphistry/blob/main/LICENSE.txt",
"Code of Conduct": "https://github.com/graphistry/pygraphistry/blob/main/CODE_OF_CONDUCT.md",
"Support": "https://www.graphistry.com/support",
},
keywords=['cugraph', 'cudf', 'cuml', 'dask', 'Databricks', 'GFQL', 'GPU', 'Graph', 'graphviz', 'GraphX', 'Gremlin', 'igraph', 'Jupyter', 'Neo4j', 'Neptune', 'Network', 'NetworkX', 'Notebook', 'OpenSearch', 'Pandas', 'Plot', 'RAPIDS', 'RDF', 'Splunk', 'Spark', 'SQL', 'Tinkerpop', 'UMAP', 'Visualization', 'Torch', 'DGL', 'GNN']
)