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{bio}[foss/2024a] scvi-tools v1.4.1, scanpy v1.10.4, anndata v0.11.4, ... #25021
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pavelToman:20260108145847_new_pr_scvi-tools141
Jan 20, 2026
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cfd25cb
adding easyconfigs: scvi-tools-1.4.1-foss-2024a.eb, scanpy-1.10.4-fos…
pavelToman 1406e69
Update easyconfigs.py - add alt version for anndata
pavelToman 7472df5
fix srun in tests
pavelToman 4c99366
remove CUDA version
pavelToman 6cea330
fix whitespace
pavelToman 50c3edf
add back sanity check commands for `scanpy`
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40 changes: 40 additions & 0 deletions
40
easybuild/easyconfigs/a/anndata/anndata-0.11.4-foss-2024a.eb
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| Original file line number | Diff line number | Diff line change |
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| easyblock = 'PythonBundle' | ||
|
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| name = 'anndata' | ||
| version = '0.11.4' | ||
|
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| homepage = 'https://github.com/scverse/anndata' | ||
| description = """anndata is a Python package for handling annotated data matrices in memory and on disk, | ||
| positioned between pandas and xarray""" | ||
|
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| toolchain = {'name': 'foss', 'version': '2024a'} | ||
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| builddependencies = [('hatchling', '1.24.2')] | ||
| dependencies = [ | ||
| ('Python', '3.12.3'), | ||
| ('Python-bundle-PyPI', '2024.06'), | ||
| ('SciPy-bundle', '2024.05'), | ||
| ('h5py', '3.12.1'), | ||
| ('setuptools', '80.9.0'), | ||
| ] | ||
|
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| exts_list = [ | ||
| ('array_api_compat', '1.12.0', { | ||
| 'checksums': ['585bc615f650de53ac24b7c012baecfcdd810f50df3573be47e6dd9fa20df974'], | ||
| }), | ||
| ('natsort', '8.4.0', { | ||
| 'checksums': ['45312c4a0e5507593da193dedd04abb1469253b601ecaf63445ad80f0a1ea581'], | ||
| }), | ||
| (name, version, { | ||
| 'checksums': ['4ce08d09d2ccb5f37d32790363bbcc7fc1b79863842296ae4badfaf48c736e24'], | ||
| }), | ||
| ] | ||
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| sanity_check_paths = { | ||
| 'files': ['bin/natsort'], | ||
| 'dirs': ['lib/python%(pyshortver)s/site-packages'], | ||
| } | ||
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| sanity_check_commands = ["natsort --help"] | ||
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| moduleclass = 'bio' |
27 changes: 27 additions & 0 deletions
27
easybuild/easyconfigs/l/Lightning/Lightning-2.5.2-foss-2024a.eb
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| easyblock = 'PythonPackage' | ||
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| name = 'Lightning' | ||
| version = '2.5.2' | ||
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| homepage = 'https://github.com/Lightning-AI/pytorch-lightning' | ||
| description = """ | ||
| The deep learning framework to pretrain, finetune and deploy AI models. | ||
| Lightning has 4 core packages: | ||
| PyTorch Lightning: Train and deploy PyTorch at scale. | ||
| Lightning Fabric: Expert control. | ||
| Lightning Data: Blazing fast, distributed streaming of training data from cloud storage. | ||
| Lightning Apps: Build AI products and ML workflows. | ||
| """ | ||
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| toolchain = {'name': 'foss', 'version': '2024a'} | ||
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| sources = [SOURCELOWER_TAR_GZ] | ||
| checksums = ['9550df613cfb22358ebf77b4a8ad45f3767cd7d26ba2d52b7f036bd3cdd701c4'] | ||
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| dependencies = [ | ||
| ('Python', '3.12.3'), | ||
| ('PyTorch', '2.6.0'), | ||
| ('PyTorch-Lightning', version), | ||
| ] | ||
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| moduleclass = 'tools' |
27 changes: 27 additions & 0 deletions
27
easybuild/easyconfigs/m/ml-collections/ml-collections-1.1.0-foss-2024a.eb
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,27 @@ | ||
| easyblock = 'PythonBundle' | ||
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| name = 'ml-collections' | ||
| version = '1.1.0' | ||
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| homepage = 'https://github.com/google/ml_collections' | ||
| description = """ | ||
| ML Collections is a library of Python Collections designed for ML use cases. | ||
| """ | ||
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| toolchain = {'name': 'foss', 'version': '2024a'} | ||
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| builddependencies = [('hatchling', '1.24.2')] | ||
| dependencies = [ | ||
| ('Python', '3.12.3'), | ||
| ('SciPy-bundle', '2024.05'), | ||
| ('PyYAML', '6.0.2'), | ||
| ('absl-py', '2.1.0'), | ||
| ] | ||
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| exts_list = [ | ||
| ('ml_collections', version, { | ||
| 'checksums': ['0ac1ac6511b9f1566863e0bb0afad0c64e906ea278ad3f4d2144a55322671f6f'], | ||
| }), | ||
| ] | ||
|
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| moduleclass = 'vis' |
39 changes: 39 additions & 0 deletions
39
easybuild/easyconfigs/p/pyro-ppl/pyro-ppl-1.9.1-foss-2024a.eb
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,39 @@ | ||
| easyblock = 'PythonBundle' | ||
|
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| name = 'pyro-ppl' | ||
| version = '1.9.1' | ||
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| homepage = 'https://github.com/pyro-ppl/pyro' | ||
| description = "Pyro is a flexible, scalable deep probabilistic programming library built on PyTorch." | ||
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| toolchain = {'name': 'foss', 'version': '2024a'} | ||
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| builddependencies = [('hatchling', '1.24.2')] | ||
| dependencies = [ | ||
| ('Python', '3.12.3'), | ||
| ('SciPy-bundle', '2024.05'), | ||
| ('PyTorch', '2.6.0'), | ||
| ('tqdm', '4.66.5'), | ||
| ] | ||
|
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| exts_list = [ | ||
| ('opt_einsum', '3.4.0', { | ||
| 'checksums': ['96ca72f1b886d148241348783498194c577fa30a8faac108586b14f1ba4473ac'], | ||
| }), | ||
| ('pyro-api', '0.1.2', { | ||
| 'modulename': 'pyroapi', | ||
| 'checksums': ['a1b900d9580aa1c2fab3b123ab7ff33413744da7c5f440bd4aadc4d40d14d920'], | ||
| }), | ||
| (name, version, { | ||
| 'modulename': 'pyro', | ||
| 'checksums': ['5e1596de276c038a3f77d2580a90d0a97126e0104900444a088eee620bb0d65e'], | ||
| }), | ||
| ] | ||
|
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| sanity_check_commands = [ | ||
| "python -c 'from pyroapi import distributions as dist'", | ||
| "python -c 'from pyroapi import infer, ops, optim, pyro, pyro_backend'", | ||
| "python -c 'from pyro import infer, nn, distributions'", | ||
| ] | ||
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| moduleclass = 'tools' |
58 changes: 58 additions & 0 deletions
58
easybuild/easyconfigs/s/scanpy/scanpy-1.10.4-foss-2024a.eb
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,58 @@ | ||
| easyblock = 'PythonBundle' | ||
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| name = 'scanpy' | ||
| version = '1.10.4' | ||
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| homepage = 'https://scanpy.readthedocs.io/en/stable/' | ||
| description = """Scanpy is a scalable toolkit for analyzing single-cell gene expression data built | ||
| jointly with anndata. It includes preprocessing, visualization, clustering, trajectory inference | ||
| and differential expression testing. The Python-based implementation efficiently deals with | ||
| datasets of more than one million cells. | ||
| """ | ||
|
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| toolchain = {'name': 'foss', 'version': '2024a'} | ||
| toolchainopts = {'openmp': True} | ||
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| builddependencies = [('hatchling', '1.24.2')] | ||
| dependencies = [ | ||
| ('Python', '3.12.3'), | ||
| ('SciPy-bundle', '2024.05'), | ||
| ('matplotlib', '3.9.2'), | ||
| ('Seaborn', '0.13.2'), | ||
| ('h5py', '3.12.1'), | ||
| ('tqdm', '4.66.5'), | ||
| ('scikit-learn', '1.5.2'), | ||
| ('statsmodels', '0.14.4'), | ||
| ('networkx', '3.4.2'), | ||
| ('numba', '0.60.0'), | ||
| ('umap-learn', '0.5.7'), | ||
| ('anndata', '0.11.4'), | ||
| ] | ||
|
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| exts_list = [ | ||
| ('stdlib_list', '0.11.0', { | ||
| 'checksums': ['b74a7b643a77a12637e907f3f62f0ab9f67300bce4014f6b2d3c8b4c8fd63c66'], | ||
| }), | ||
| ('session-info', '1.0.0', { | ||
| 'sources': ['session_info-%(version)s.tar.gz'], | ||
| 'checksums': ['3cda5e03cca703f32ae2eadbd6bd80b6c21442cfb60e412c21cb8ad6d5cbb6b7'], | ||
| }), | ||
| ('legacy_api_wrap', '1.4.1', { | ||
| 'checksums': ['9c40d67aa8312fec8763e87cbf28fea4b67710c79ca7a18137b573d150f3b2b4'], | ||
| }), | ||
| (name, version, { | ||
| 'checksums': ['2682fbbe2e4106c349472feebef08e174062fb666db4c94123758c6a7a470396'], | ||
| }), | ||
| ] | ||
|
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| sanity_check_paths = { | ||
| 'files': ['bin/scanpy'], | ||
| 'dirs': ['lib/python%(pyshortver)s/site-packages'], | ||
| } | ||
|
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| sanity_check_commands = [ | ||
| "natsort --help", | ||
| "scanpy --help", | ||
| ] | ||
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| moduleclass = 'bio' | ||
77 changes: 77 additions & 0 deletions
77
easybuild/easyconfigs/s/scvi-tools/scvi-tools-1.4.1-foss-2024a.eb
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,77 @@ | ||
| easyblock = 'PythonBundle' | ||
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| name = 'scvi-tools' | ||
| version = '1.4.1' | ||
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| homepage = 'https://github.com/scverse/scvi-tools' | ||
| description = """scvi-tools (single-cell variational inference tools) is a package for probabilistic modeling and | ||
| analysis of single-cell omics data, built on top of PyTorch and AnnData.""" | ||
|
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| toolchain = {'name': 'foss', 'version': '2024a'} | ||
|
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| builddependencies = [ | ||
| ('hatchling', '1.27.0'), | ||
| ('coverage', '7.9.2'), | ||
| ('captum', '0.8.0'), | ||
| ] | ||
| dependencies = [ | ||
| ('Python', '3.12.3'), | ||
| ('SciPy-bundle', '2024.05'), | ||
| ('PyTorch', '2.6.0'), | ||
| ('PyTorch-Lightning', '2.5.2'), | ||
| ('Lightning', '2.5.2'), | ||
| ('anndata', '0.11.4'), | ||
| ('matplotlib', '3.9.2'), | ||
| ('scikit-learn', '1.5.2'), | ||
| ('tqdm', '4.66.5'), | ||
| ('h5py', '3.12.1'), | ||
| ('pyro-ppl', '1.9.1'), | ||
| ('ml-collections', '1.1.0'), | ||
| ('numba', '0.60.0'), | ||
| ('scanpy', '1.10.4'), | ||
| ('tensorboard', '2.18.0'), | ||
| ('xarray', '2024.11.0'), | ||
| ] | ||
|
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| # avoid srun problem | ||
| # https://github.com/easybuilders/easybuild-easyconfigs/pull/25021#issuecomment-3744728157 | ||
| local_test_command = 'export SLURM_NTASKS_PER_NODE=$SLURM_NTASKS && ' | ||
| local_test_command += 'pytest -vs tests ' | ||
| # skip tests required optional dependencies | ||
| local_test_command += ( | ||
| '--ignore=tests/external/mrvi_jax ' | ||
| '--ignore=tests/external/tangram ' | ||
| '--ignore=tests/model/test_jaxscvi.py ' | ||
| '--ignore=tests/hub ' | ||
| '--ignore=tests/criticism ' | ||
| '--ignore=tests/external/cytovi ' | ||
| '--deselect=tests/data/test_anndata.py::test_anntorchdataset_dask ' | ||
| '--deselect tests/model/test_multivi.py::test_multivi_mudata_rna_atac ' | ||
| ) | ||
|
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| exts_list = [ | ||
| ('packaging', '25.0', { | ||
| 'checksums': ['d443872c98d677bf60f6a1f2f8c1cb748e8fe762d2bf9d3148b5599295b0fc4f'], | ||
| }), | ||
| ('pytest_pretty', '1.3.0', { | ||
| 'checksums': ['97e9921be40f003e40ae78db078d4a0c1ea42bf73418097b5077970c2cc43bf3'], | ||
| }), | ||
| ('mudata', '0.3.2', { | ||
| 'checksums': ['c9b24f2429f369512f38e48599e341e7684abcf769df277e473700d4f1212740'], | ||
| }), | ||
| ('sparse', '0.17.0', { | ||
| 'checksums': ['6b1ad51a810c5be40b6f95e28513ec810fe1c785923bd83b2e4839a751df4bf7'], | ||
| }), | ||
| ('docrep', '0.3.2', { | ||
| 'checksums': ['ed8a17e201abd829ef8da78a0b6f4d51fb99a4cbd0554adbed3309297f964314'], | ||
| }), | ||
| (name, version, { | ||
| 'modulename': 'scvi', | ||
| 'runtest': local_test_command, | ||
| 'sources': ['scvi_tools-%(version)s.tar.gz'], | ||
| 'testinstall': True, | ||
| 'checksums': ['ee75eaac665618b9ee6fa466f6353ef68eb33cd3d7e2c77069e743471ca2103a'], | ||
| }), | ||
| ] | ||
|
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| moduleclass = 'bio' |
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