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| # This easyconfig was created by the BEAR Software team at the University of Birmingham. | ||
| easyblock = 'PythonBundle' | ||
|
|
||
| name = 'GRAPE' | ||
| version = '0.2.4' | ||
|
|
||
| homepage = "https://github.com/AnacletoLAB/grape/tree/main" | ||
| description = """GRAPE (Graph Representation leArning, Predictions and Evaluation) is a fast graph processing and | ||
| embedding library, designed to scale with big graphs and to run on both off-the-shelf laptop and desktop computers and | ||
| High-Performance Computing clusters of workstations. | ||
| The library is written in Rust and Python programming languages, and has been developed by AnacletoLAB (Dept. of | ||
| Computer Science of the University of Milan), in collaboration with the Robinson Lab - Jackson Laboratory for Genomic | ||
| Medicine and with the BBOP - Lawrence Berkeley National Laboratory. | ||
| The library is composed of two main modules, Ensmallen, which is the Rust/Python high-performance graph processing | ||
| submodule, and Embiggen, which is the Python Graph Representation learning, Prediction and Evaluation submodule. | ||
| """ | ||
|
|
||
| toolchain = {'name': 'foss', 'version': '2023a'} | ||
|
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| builddependencies = [ | ||
| ('maturin', '1.4.0', '-Rust-1.75.0'), | ||
| ('Python', '3.11.3'), | ||
| ('hatchling', '1.18.0'), | ||
| ('scikit-build', '0.17.6'), | ||
| ] | ||
|
|
||
| dependencies = [ | ||
| ('Python-bundle-PyPI', '2023.06'), | ||
| ('IPython', '8.14.0'), | ||
| ('scikit-learn', '1.4.2'), | ||
| ('SciPy-bundle', '2023.07'), | ||
| ('imageio', '2.33.1'), | ||
| ('matplotlib', '3.7.2'), | ||
| ('tqdm', '4.66.1'), | ||
| ('BeautifulSoup', '4.12.2'), | ||
| ('typing-extensions', '4.9.0'), | ||
| ('OpenCV', '4.8.1', '-contrib'), | ||
| ('pydantic', '2.5.3'), | ||
| ] | ||
|
|
||
| sanity_pip_check = True | ||
| use_pip = True | ||
| use_pip_extras = "auditwheel" | ||
| download_dep_fail = True | ||
|
|
||
| exts_default_options = { | ||
| 'source_urls': [PYPI_LOWER_SOURCE], | ||
| 'source_tmpl': SOURCELOWER_TAR_GZ | ||
| } | ||
|
|
||
| exts_list = [ | ||
| ('PyTrie', '0.4.0', { | ||
| 'sources': {'download_filename': 'PyTrie-%(version)s.tar.gz', 'filename': '%(name)s-%(version)s.tar.gz'}, | ||
| 'checksums': ['8f4488f402d3465993fb6b6efa09866849ed8cda7903b50647b7d0342b805379'], | ||
| }), | ||
| ('curies', '0.7.0', { | ||
| 'checksums': ['6ce4b3b6202f7fed9ccef4b6b91fc6a13de233774fc39088e64bc676b1a4a48e'], | ||
| }), | ||
| ('more_click', '0.1.2', { | ||
| 'checksums': ['085da66d5a9b823c5d912a888dca1fa0c8b3a14ed1b21ea9c8a1b814857a3981'], | ||
| }), | ||
| ('stack_data', '0.6.3', { | ||
| 'checksums': ['836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9'], | ||
| }), | ||
| ('prompt_toolkit', '3.0.43', { | ||
| 'checksums': ['3527b7af26106cbc65a040bcc84839a3566ec1b051bb0bfe953631e704b0ff7d'], | ||
| }), | ||
| ('pure_eval', '0.2.2', { | ||
| 'checksums': ['2b45320af6dfaa1750f543d714b6d1c520a1688dec6fd24d339063ce0aaa9ac3'], | ||
| }), | ||
| ('pystow', '0.5.4', { | ||
| 'checksums': ['2692180cb405bd77259bee6c7f4db545d10e81939980064730609f21750567ff'], | ||
| }), | ||
| ('bioregistry', '0.11.14', { | ||
| 'checksums': ['373d5957925b5d37f582ea3394336b3d71b75a0ada55d56324797fdd64c4b5e8'], | ||
| }), | ||
| ('downloaders', '1.0.20', { | ||
| 'checksums': ['8ed2f3c5d95296ee59d004421c735fff9c46b89ef51ff5f4e861a10636ecb960'], | ||
| }), | ||
| ('ddd_subplots', '1.0.27', { | ||
| 'preinstallopts': 'sed -i "s/opencv-python/opencv-contrib-python/" setup.py &&', | ||
| 'checksums': ['925a61b888ee0491650cac022f28059e415486022a8ec33329c0555a0429f649'], | ||
| }), | ||
| ('keras_mixed_sequence', '1.0.29', { | ||
| 'modulename': False, | ||
| 'checksums': ['4d49f4325988dccd9d1f6d1ea53e1fc0be8a4479545387f79db7d9245ed66e91'], | ||
| }), | ||
| ('humanize', '4.8.0', { | ||
| 'checksums': ['9783373bf1eec713a770ecaa7c2d7a7902c98398009dfa3d8a2df91eec9311e8'], | ||
| }), | ||
| ('deflate_dict', '1.2.0', { | ||
| 'checksums': ['f03d8335629b192467fcc4ce5cb4fdc0f716e3ebdd0bd30edbf81113d49e2bb8'], | ||
| }), | ||
| ('dict_hash', '1.3.0', { | ||
| 'checksums': ['57dd361a9a3345ce9fae914327f2e51d0ebe40a48dbf5238eb078786bdcb03ff'], | ||
| }), | ||
| ('compress_pickle', '2.1.0', { | ||
| 'checksums': ['3e944ce0eeab5b6331324d62351c957d41c9327c8417d439843e88fe69b77991'], | ||
| }), | ||
| ('compress_json', '1.1.0', { | ||
| 'checksums': ['0fcc3fb518250546e747af4b00cca488c62c60cee84a79f33374ff0b77adec43'], | ||
| }), | ||
| ('sanitize_ml_labels', '1.1.0', { | ||
| 'checksums': ['f28be5075f8b12ba6043beac40d3df8c653db8477e22df93a4a41df784b51138'], | ||
| }), | ||
| ('py-cpuinfo', '9.0.0', { | ||
| 'modulename': 'cpuinfo', | ||
| 'checksums': ['3cdbbf3fac90dc6f118bfd64384f309edeadd902d7c8fb17f02ffa1fc3f49690'], | ||
| }), | ||
| ('IPy', '1.01', { | ||
| 'modulename': 'IPy', | ||
| 'sources': {'download_filename': 'IPy-%(version)s.tar.gz', 'filename': '%(name)s-%(version)s.tar.gz'}, | ||
| 'checksums': ['edeca741dea2d54aca568fa23740288c3fe86c0f3ea700344571e9ef14a7cc1a'], | ||
| }), | ||
| ('environments_utils', '1.0.13', { | ||
| 'checksums': ['ffb304f746d5da2c441d19cc6ab8a6a6df9c865afbc0a305c1d5d49d1d5c357c'], | ||
| }), | ||
| ('jaro_winkler', '2.0.3', { | ||
| 'modulename': 'jaro', | ||
| 'source_tmpl': '%(name)s-%(version)s-py3-none-any.whl', | ||
| 'checksums': ['9ad42a94eb110351e72dd5b9e0a0f1053b0760761d676f9be35da19ea80d511b'], | ||
| }), | ||
| ('validate_email', '1.3', { | ||
| 'checksums': ['784719dc5f780be319cdd185dc85dd93afebdb6ebb943811bc4c7c5f9c72aeaf'], | ||
| }), | ||
| ('validate_version_code', '1.0.4', { | ||
| 'checksums': ['5d766d1b9b9c10f354542f6376bfd764037c8bdf4f6e59dfc9ed60dc14e2600b'], | ||
| }), | ||
| ('validators', '0.33.0', { | ||
| 'checksums': ['535867e9617f0100e676a1257ba1e206b9bfd847ddc171e4d44811f07ff0bfbf'], | ||
| }), | ||
| ('userinput', '1.0.22', { | ||
| 'checksums': ['b74ef2221c3749ecfd845763caa4d4f7d5554e4ab5c5828f775f10566b401690'], | ||
| }), | ||
| ('pydot', '3.0.1', { | ||
| 'checksums': ['e18cf7f287c497d77b536a3d20a46284568fea390776dface6eabbdf1b1b5efc'], | ||
| }), | ||
| ('cache_decorator', '2.2.0', { | ||
| 'checksums': ['ebb427b5acb00fb0a47ed9fc7d52fe96de94f40ca52f381205ace8756df6df5a'], | ||
| }), | ||
| ('ensmallen', '0.8.98', { | ||
| 'source_tmpl': '%(name)s-%(version)s-cp37-abi3-manylinux2014_%(arch)s.manylinux_2_17_%(arch)s.whl', | ||
| 'checksums': ['05d195e14c67bab152c1193dc1a6ef2126e631bff23701309182943c32be3760'], | ||
| }), | ||
| ('embiggen', '0.11.95', { | ||
| 'checksums': ['6e68b501be2e1ee80a2d2a799bd321dbb1d53c8bb2608118440c09bdc9acb864'], | ||
| }), | ||
| (name, version, { | ||
| 'modulename': 'grape', | ||
| 'checksums': ['119ef66ea8486fae52a3e0a1b6658758e0723704805e9b069fccdfdeeab3692e'], | ||
| }), | ||
| ] | ||
|
|
||
| moduleclass = 'data' |