Merge pull request easybuilders#19214 from deniskristak/2023111214331…

…6_new_pr_tensorflow-probability0190

{bio}[foss/2022a] vaeda v0.0.30

easybuild/easyconfigs/t/tensorflow-probability/tensorflow-probability-0.19.0-foss-2022a.eb

@@ -0,0 +1,48 @@
+##
+# This file is an EasyBuild reciPY as per https://github.com/easybuilders/easybuild
+#
+# Authors::   Dugan Witherick (University of Warwick)
+# License::   MIT/GPL
+# $Id$
+#
+# Updated to 0.19.0
+# Author: J. Sassmannshausen (Imperial College London/UK)
+##
+
+easyblock = 'PythonBundle'
+
+name = 'tensorflow-probability'
+version = '0.19.0'
+
+homepage = 'https://www.tensorflow.org/probability'
+description = """TensorFlow Probability (TFP) is a library for probabilistic reasoning and statistical analysis."""
+
+toolchain = {'name': 'foss', 'version': '2022a'}
+toolchainopts = {'usempi': True, 'pic': True}
+
+dependencies = [
+    ('Python', '3.10.4'),
+    ('TensorFlow', '2.11.0'),
+    ('dm-tree', '0.1.8'),
+]
+
+use_pip = True
+
+exts_list = [
+    ('cloudpickle', '2.2.0', {
+        'checksums': ['3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f'],
+    }),
+    (name, version, {
+        'installopts': '--install-option="--release"',
+        'modulename': 'tensorflow_probability',
+        'source_tmpl': 'v%(version)s.tar.gz',
+        'source_urls': ['https://github.com/tensorflow/probability/archive/'],
+        'checksums': ['b32d2ae211ec727df9791b501839619f5389134bd6d4fe951570f500b0e75f55'],
+    }),
+]
+
+sanity_check_commands = ["python -c 'import tensorflow; import tensorflow_probability'"]
+
+sanity_pip_check = True
+
+moduleclass = 'lib'

easybuild/easyconfigs/v/vaeda/vaeda-0.0.30-foss-2022a.eb

@@ -0,0 +1,40 @@
+easyblock = 'PythonBundle'
+
+name = 'vaeda'
+# recent vaeda version are also available via https://test.pypi.org/project/vaeda,
+# but downloading from there doesn't seem like a good idea...
+local_commit = '36cdc53'
+version = '0.0.30'
+
+homepage = 'https://github.com/kostkalab/vaeda'
+description = """vaeda (variaitonal auto-encoder (vae) for doublet annotation (da)) is a Python package for doublet
+annotation in single cell RNA-sequencing."""
+
+toolchain = {'name': 'foss', 'version': '2022a'}
+
+dependencies = [
+    ('Python', '3.10.4'),
+    ('SciPy-bundle', '2022.05'),
+    ('scikit-learn', '1.1.2'),
+    ('scanpy', '1.9.1'),
+    ('TensorFlow', '2.11.0'),
+    ('tensorflow-probability', '0.19.0'),
+]
+
+use_pip = True
+
+exts_list = [
+    ('kneed', '0.8.1', {
+        'preinstallopts': "sed -i 's/install_requires = .*/install_requires = numpy;scipy/g' setup.cfg && ",
+        'checksums': ['6addebca6a3742e51a173f4f40f789c704677c49bc0b02666e7d71152ca0e473'],
+    }),
+    (name, version, {
+        'source_urls': ['https://github.com/kostkalab/vaeda/archive/'],
+        'sources': [{'download_filename': '36cdc53.tar.gz', 'filename': '%(name)s-%(version)s.tar.gz'}],
+        'checksums': ['bef23d0496944a5b9c41645de0442db99ddb26e3fb69bda3437c00339832295e'],
+    }),
+]
+
+sanity_pip_check = True
+
+moduleclass = 'bio'