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Original file line number Diff line number Diff line change
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easyblock = 'PythonBundle'

name = 'Anemoi-Framework'
version = '2025.06'

homepage = 'https://anemoi.readthedocs.io'
description = """The Anemoi framework provides a complete toolkit to develop data-driven weather
models – from data preparation through to inference. The framework is composed
of several packages which target the different components necessary to
construct data-driven weather models. To aid development and deployment, each
package collects metadata that can be used by the subsequent packages. The
framework builds upon on established Python tools including PyTorch, Lighting,
Hydra, Zarr, Xarray and earthkit."""

toolchain = {'name': 'foss', 'version': '2024a'}

dependencies = [
('Python', '3.12.3'),
('SciPy-bundle', '2024.05'),
('PyTorch-Geometric', '2.6.1'),
('cfunits', '3.3.7'),
('earthkit', '0.10.3'),
('einops', '0.8.1'),
('MLflow', '2.22.4'),
('pyshtools', '4.13.1'),
('timm', '1.0.20'),
('zarr', '2.18.4'),
]

exts_default_options = {
'source_tmpl': SOURCE_PY3_WHL,
}

exts_list = [
('aniso8601', '10.0.1', {
'source_tmpl': SOURCE_WHL,
'checksums': ['eb19717fd4e0db6de1aab06f12450ab92144246b257423fe020af5748c0cb89e'],
}),
('anemoi_utils', '0.4.27', {
'modulename': 'anemoi.utils',
'checksums': ['f3c2d3d0b2c623d5db619733680edc9422fe5a1e179c7328f3b4369c5bdbbc20'],
}),
('anemoi_datasets', '0.5.25', {
'modulename': 'anemoi.datasets',
'checksums': ['115290d630bf3a955a38d6dcbab9c8d8f9dfcdac05a708fe892cf3aab4192f49'],
}),
('typeguard', '4.4.2', {
'checksums': ['77a78f11f09777aeae7fa08585f33b5f4ef0e7335af40005b0c422ed398ff48c'],
}),
('anemoi_graphs', '0.6.2', {
'modulename': 'anemoi.graphs',
'checksums': ['543b065b06c1ae077efdefef9770fcfb369ee0bbd7f3ac928c472f6b07cf4772'],
}),
('anemoi_models', '0.8.1', {
'modulename': 'anemoi.models',
'checksums': ['fb1686775120aeb6c05164d5bcbe2b31f0269b4107da216fcc9c6f53e5fb518e'],
}),
('anytree', '2.13.0', {
'checksums': ['4cbcf10df36b1f1cba131b7e487ff3edafc9d6e932a3c70071b5b768bab901ff'],
}),
('anemoi_inference', '0.6.3', {
'modulename': 'anemoi.inference',
'checksums': ['d957c3064560e5aef3bcf4bae6a1bd0763472eef143a1c68b88505f259d1b0c4'],
}),
('anemoi_transform', '0.1.11', {
'modulename': 'anemoi.transform',
'checksums': ['79e6ad9c4bc9fffb82dec86e72da44085ab7ab7dfbb608521e8530e6f7a7e540'],
}),
('colorcet', '3.1.0', {
'checksums': ['2a7d59cc8d0f7938eeedd08aad3152b5319b4ba3bcb7a612398cc17a384cb296'],
}),
('multipledispatch', '1.0.0', {
'checksums': ['0c53cd8b077546da4e48869f49b13164bebafd0c2a5afceb6bb6a316e7fb46e4'],
}),
('param', '2.2.1', {
'checksums': ['e3a4ca7f3d7610615129a55dbde2e90eb67d11cef70936487b0a59717dba0bdc'],
}),
('pyct', '0.5.0', {
'source_tmpl': SOURCE_WHL,
'checksums': ['a4038a8885059ab8cac6f946ea30e0b5e6bdbe0b92b6723f06737035f9d65e8c'],
}),
('datashader', '0.18.2', {
'checksums': ['2aa90e867a46b1e75248f32a47c5b14bb5dc869524152f88c0af8369d47359e7'],
}),
('torchinfo', '1.8.0', {
'checksums': ['2e911c2918603f945c26ff21a3a838d12709223dc4ccf243407bce8b6e897b46'],
}),
('anemoi_training', '0.5.1', {
'modulename': 'anemoi.training',
'checksums': ['843b8c052db43bdf4bc127fbd8a542ad7d557c8a2a857fac87a1e80417b61b9e'],
}),
]

moduleclass = 'geo'
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