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authorJen Herting <jen@herting.cc>2021-12-20 22:07:21 -0500
committerGitHub <noreply@github.com>2021-12-20 19:07:21 -0800
commit6647b2a4ca2f8b672fe32c48208307f5e13b1861 (patch)
treef197f423119cedf184c0232b87b415520134ecc6 /var
parent6c62fa461e92b086b9e7774715434f07e417c4dc (diff)
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New package: py-ctgan (#28050)
Co-authored-by: Sid Pendelberry <sid@rit.edu>
Diffstat (limited to 'var')
-rw-r--r--var/spack/repos/builtin/packages/py-ctgan/package.py29
1 files changed, 29 insertions, 0 deletions
diff --git a/var/spack/repos/builtin/packages/py-ctgan/package.py b/var/spack/repos/builtin/packages/py-ctgan/package.py
new file mode 100644
index 0000000000..f9ab396bdb
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+++ b/var/spack/repos/builtin/packages/py-ctgan/package.py
@@ -0,0 +1,29 @@
+# Copyright 2013-2021 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 import *
+
+
+class PyCtgan(PythonPackage):
+ """CTGAN is a collection of Deep Learning based Synthetic
+ Data Generators for single table data, which are able to
+ learn from real data and generate synthetic clones with
+ high fidelity."""
+
+ homepage = "https://github.com/sdv-dev/CTGAN"
+ pypi = "ctgan/ctgan-0.5.0.tar.gz"
+
+ version('0.5.0', sha256='b8a5dbf21dab2d2e2690013f13feb0922f5bad13440b15bc031ce9d58c7fb988')
+
+ depends_on('python@3.6:', type=('build', 'run'))
+ depends_on('py-setuptools', type='build')
+ depends_on('py-packaging@20:21', type=('build', 'run'))
+ depends_on('py-numpy@1.18:1.19', type=('build', 'run'), when='^python@3.6')
+ depends_on('py-numpy@1.20:1', type=('build', 'run'), when='^python@3.7:')
+ depends_on('py-pandas@1.1.3:1', type=('build', 'run'))
+ depends_on('py-scikit-learn@0.24:1', type=('build', 'run'))
+ depends_on('py-torch@1.8.0:1', type=('build', 'run'))
+ depends_on('py-torchvision@0.9', type=('build', 'run'))
+ depends_on('py-rdt@0.6.1:0.6', type=('build', 'run'))