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gnu: python-pytorch-geometric: Update to commit 85cf9fc.
Fixes guix/guix#1043. * gnu/packages/machine-learning.scm (python-pytorch-geometric): Update to commit 85cf9fc. [arguments]: Fix the 'delete-top-level-directories phase. [propagated-inputs]: Add python-xxhash. Signed-off-by: Andreas Enge <andreas@enge.fr>
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1 changed files with 88 additions and 84 deletions
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@ -89,6 +89,7 @@
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#:use-module (gnu packages curl)
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#:use-module (gnu packages databases)
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#:use-module (gnu packages dejagnu)
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#:use-module (gnu packages digest)
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#:use-module (gnu packages documentation)
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#:use-module (gnu packages freedesktop)
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#:use-module (gnu packages gcc)
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@ -5461,18 +5462,20 @@ Note: currently this package does not provide GPU support.")
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python-sympy)))))
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(define-public python-pytorch-geometric
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(let ((commit "85cf9fc12b1138c1f2adbed8a761356c3f4197e7")
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(revision "0"))
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(package
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(name "python-pytorch-geometric")
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(version "2.6.1")
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(version (git-version "2.6.1" revision commit))
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(source (origin
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(method git-fetch)
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(uri (git-reference
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(url "https://github.com/pyg-team/pytorch_geometric/")
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(commit version)))
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(commit commit)))
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(file-name (git-file-name name version))
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(sha256
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(base32
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"0dbxz9d22vzm7fr9kgg66hj3sf8ag2ly8qky58cxvn1hyjl5h3v7"))))
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"104v3w9yv7akyxpyd8aq85mw1mncql8mvr1p1b34ph09csqh68hq"))))
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(build-system pyproject-build-system)
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(arguments
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(list
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@ -5509,7 +5512,7 @@ Note: currently this package does not provide GPU support.")
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;; The presence of these directories confuses the pyproject build
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;; system.
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(for-each delete-file-recursively
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'("conda" "docker" "graphgym")))))))
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'("docker" "graphgym")))))))
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(propagated-inputs
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(list onnx
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python-captum
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@ -5535,9 +5538,10 @@ Note: currently this package does not provide GPU support.")
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python-sympy
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python-tabulate
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python-torchmetrics
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python-tqdm))
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python-tqdm
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python-xxhash))
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(native-inputs
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(list python-flit-core
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(list python-flit-core-next
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python-pytest
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python-pytest-cov))
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(home-page "https://pyg.org")
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@ -5545,7 +5549,7 @@ Note: currently this package does not provide GPU support.")
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(description
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"PyG is a library built upon PyTorch to easily write and train Graph
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Neural Networks for a wide range of applications related to structured data.")
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(license license:expat)))
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(license license:expat))))
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(define-public python-lightning-cloud
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(package
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