py-resize-right: new package (#47056)

Co-authored-by: Alex C Leute <acl2809@rit.edu>
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Jen Herting 2024-10-18 13:25:29 -04:00 committed by GitHub
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# Copyright 2013-2024 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack.package import *
class PyResizeRight(PythonPackage):
"""This is a resizing packge for images or tensors, that supports both
Numpy and PyTorch (fully differentiable) seamlessly. The main motivation
for creating this is to address some crucial incorrectness issues (see item
3 in the list below) that exist in all other resizing packages I am
aware of. As far as I know, it is the only one that performs correctly
in all cases. ResizeRight is specially made for machine learning,
image enhancement and restoration challenges."""
homepage = "https://github.com/assafshocher/ResizeRight"
pypi = "resize-right/resize-right-0.0.2.tar.gz"
license("MIT", checked_by="alex391")
version("0.0.2", sha256="7dc35b72ce4012b77f7cc9049835163793ab98a58ab8893610fb119fe59af520")
depends_on("py-setuptools", type="build")
# needs py-numpy, py-torch, or both. py-numpy is lighter to install, so
# always use py-numpy
depends_on("py-numpy", type=("build", "run"))
# and optionally use py-torch
variant("torch", default=True, description="Enable py-torch")
depends_on("py-torch", type=("build", "run"), when="+torch")