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here is the log from the commit of package python-PeakUtils for
openSUSE:Factory checked in at 2023-06-01 17:19:21
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-PeakUtils (Old)
and /work/SRC/openSUSE:Factory/.python-PeakUtils.new.2531 (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python-PeakUtils"
Thu Jun 1 17:19:21 2023 rev:6 rq:1090057 version:1.3.4
Changes:
--------
--- /work/SRC/openSUSE:Factory/python-PeakUtils/python-PeakUtils.changes
2021-04-21 20:59:50.806243619 +0200
+++
/work/SRC/openSUSE:Factory/.python-PeakUtils.new.2531/python-PeakUtils.changes
2023-06-01 17:19:27.734139700 +0200
@@ -1,0 +2,7 @@
+Wed May 31 19:09:12 UTC 2023 - Dirk Müller <[email protected]>
+
+- update to 1.3.4:
+ * fix indexes() returning an empty float64 array
+ * Change to linalg.pinv()
+
+-------------------------------------------------------------------
Old:
----
PeakUtils-1.3.3.tar.gz
New:
----
PeakUtils-1.3.4.tar.gz
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Other differences:
------------------
++++++ python-PeakUtils.spec ++++++
--- /var/tmp/diff_new_pack.dNY3TS/_old 2023-06-01 17:19:28.170142285 +0200
+++ /var/tmp/diff_new_pack.dNY3TS/_new 2023-06-01 17:19:28.174142309 +0200
@@ -1,7 +1,7 @@
#
# spec file for package python-PeakUtils
#
-# Copyright (c) 2021 SUSE LLC
+# Copyright (c) 2023 SUSE LLC
#
# All modifications and additions to the file contributed by third parties
# remain the property of their copyright owners, unless otherwise agreed
@@ -16,10 +16,9 @@
#
-%{?!python_module:%define python_module() python-%{**} python3-%{**}}
-%define skip_python36 1
+%{?sle15_python_module_pythons}
Name: python-PeakUtils
-Version: 1.3.3
+Version: 1.3.4
Release: 0
Summary: Peak detection utilities for 1D data
License: MIT
++++++ PeakUtils-1.3.3.tar.gz -> PeakUtils-1.3.4.tar.gz ++++++
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/PeakUtils-1.3.3/LICENSE.txt
new/PeakUtils-1.3.4/LICENSE.txt
--- old/PeakUtils-1.3.3/LICENSE.txt 2020-01-23 15:24:11.000000000 +0100
+++ new/PeakUtils-1.3.4/LICENSE.txt 2022-08-05 15:08:50.000000000 +0200
@@ -1,6 +1,6 @@
The MIT License (MIT)
-Copyright (c) 2014 Lucas Hermann Negri
+Copyright (c) 2014-2022 Lucas Hermann Negri
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/PeakUtils-1.3.3/PKG-INFO new/PeakUtils-1.3.4/PKG-INFO
--- old/PeakUtils-1.3.3/PKG-INFO 2020-01-23 15:36:13.000000000 +0100
+++ new/PeakUtils-1.3.4/PKG-INFO 2022-08-05 15:18:02.603463000 +0200
@@ -1,53 +1,53 @@
Metadata-Version: 2.1
Name: PeakUtils
-Version: 1.3.3
+Version: 1.3.4
Summary: Peak detection utilities for 1D data
Home-page: https://bitbucket.org/lucashnegri/peakutils
Author: Lucas Hermann Negri
Author-email: [email protected]
License: MIT
-Description: PeakUtils
- =========
-
- .. image:: https://zenodo.org/badge/102883046.svg
- :target: https://zenodo.org/badge/latestdoi/102883046
-
- This package provides utilities related to the detection of peaks on
1D data.
- Includes functions to estimate baselines, finding the indexes of peaks
in the data
- and performing Gaussian fitting or centroid computation to further
increase the
- resolution of the peak detection.
-
- The documentation is available at
http://peakutils.readthedocs.io/en/latest .
-
- Installation
- ------------
-
- To install PeakUtils from the source package, run:
-
- .. code-block:: bash
-
- python setup.py install
-
- PeakUtils targets Python 2.7+ and depends on numpy, scipy, and
optionally on
- matplotlib.
-
- Contribute
- ----------
-
- - Source Code: https://bitbucket.org/lucashnegri/peakutils
- - Issues: https://bitbucket.org/lucashnegri/peakutils/issues
- - Direct contact: Lucas Hermann Negri - lucashnegri <at> gmail.com
-
- License
- -------
-
- The project is licensed under the MIT license.
-
Keywords: peak detection search gaussian centroid baseline maximum
-Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Description-Content-Type: text/x-rst
+License-File: LICENSE.txt
+
+PeakUtils
+=========
+
+.. image:: https://zenodo.org/badge/102883046.svg
+ :target: https://zenodo.org/badge/latestdoi/102883046
+
+This package provides utilities related to the detection of peaks on 1D data.
+Includes functions to estimate baselines, finding the indexes of peaks in the
data
+and performing Gaussian fitting or centroid computation to further increase the
+resolution of the peak detection.
+
+The documentation is available at http://peakutils.readthedocs.io/en/latest .
+
+Installation
+------------
+
+To install PeakUtils from the source package, run:
+
+.. code-block:: bash
+
+ python setup.py install
+
+PeakUtils targets Python 2.7+ and depends on numpy, scipy, and optionally on
+matplotlib.
+
+Contribute
+----------
+
+- Source Code: https://bitbucket.org/lucashnegri/peakutils
+- Issues: https://bitbucket.org/lucashnegri/peakutils/issues
+- Direct contact: Lucas Hermann Negri - lucashnegri <at> gmail.com
+
+License
+-------
+
+The project is licensed under the MIT license.
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/PeakUtils-1.3.3/PeakUtils.egg-info/PKG-INFO
new/PeakUtils-1.3.4/PeakUtils.egg-info/PKG-INFO
--- old/PeakUtils-1.3.3/PeakUtils.egg-info/PKG-INFO 2020-01-23
15:36:13.000000000 +0100
+++ new/PeakUtils-1.3.4/PeakUtils.egg-info/PKG-INFO 2022-08-05
15:18:02.000000000 +0200
@@ -1,53 +1,53 @@
Metadata-Version: 2.1
Name: PeakUtils
-Version: 1.3.3
+Version: 1.3.4
Summary: Peak detection utilities for 1D data
Home-page: https://bitbucket.org/lucashnegri/peakutils
Author: Lucas Hermann Negri
Author-email: [email protected]
License: MIT
-Description: PeakUtils
- =========
-
- .. image:: https://zenodo.org/badge/102883046.svg
- :target: https://zenodo.org/badge/latestdoi/102883046
-
- This package provides utilities related to the detection of peaks on
1D data.
- Includes functions to estimate baselines, finding the indexes of peaks
in the data
- and performing Gaussian fitting or centroid computation to further
increase the
- resolution of the peak detection.
-
- The documentation is available at
http://peakutils.readthedocs.io/en/latest .
-
- Installation
- ------------
-
- To install PeakUtils from the source package, run:
-
- .. code-block:: bash
-
- python setup.py install
-
- PeakUtils targets Python 2.7+ and depends on numpy, scipy, and
optionally on
- matplotlib.
-
- Contribute
- ----------
-
- - Source Code: https://bitbucket.org/lucashnegri/peakutils
- - Issues: https://bitbucket.org/lucashnegri/peakutils/issues
- - Direct contact: Lucas Hermann Negri - lucashnegri <at> gmail.com
-
- License
- -------
-
- The project is licensed under the MIT license.
-
Keywords: peak detection search gaussian centroid baseline maximum
-Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Description-Content-Type: text/x-rst
+License-File: LICENSE.txt
+
+PeakUtils
+=========
+
+.. image:: https://zenodo.org/badge/102883046.svg
+ :target: https://zenodo.org/badge/latestdoi/102883046
+
+This package provides utilities related to the detection of peaks on 1D data.
+Includes functions to estimate baselines, finding the indexes of peaks in the
data
+and performing Gaussian fitting or centroid computation to further increase the
+resolution of the peak detection.
+
+The documentation is available at http://peakutils.readthedocs.io/en/latest .
+
+Installation
+------------
+
+To install PeakUtils from the source package, run:
+
+.. code-block:: bash
+
+ python setup.py install
+
+PeakUtils targets Python 2.7+ and depends on numpy, scipy, and optionally on
+matplotlib.
+
+Contribute
+----------
+
+- Source Code: https://bitbucket.org/lucashnegri/peakutils
+- Issues: https://bitbucket.org/lucashnegri/peakutils/issues
+- Direct contact: Lucas Hermann Negri - lucashnegri <at> gmail.com
+
+License
+-------
+
+The project is licensed under the MIT license.
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/PeakUtils-1.3.3/peakutils/__init__.py
new/PeakUtils-1.3.4/peakutils/__init__.py
--- old/PeakUtils-1.3.3/peakutils/__init__.py 2020-01-23 15:26:46.000000000
+0100
+++ new/PeakUtils-1.3.4/peakutils/__init__.py 2022-08-05 15:09:03.000000000
+0200
@@ -2,4 +2,4 @@
from .peak import *
from .prepare import *
-__version__ = '1.3.3'
+__version__ = '1.3.4'
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/PeakUtils-1.3.3/peakutils/baseline.py
new/PeakUtils-1.3.4/peakutils/baseline.py
--- old/PeakUtils-1.3.3/peakutils/baseline.py 2020-01-23 15:24:11.000000000
+0100
+++ new/PeakUtils-1.3.4/peakutils/baseline.py 2022-08-05 15:06:04.000000000
+0200
@@ -48,7 +48,7 @@
base = y.copy()
vander = np.vander(x, order)
- vander_pinv = LA.pinv2(vander)
+ vander_pinv = LA.pinv(vander)
for _ in range(max_it):
coeffs_new = np.dot(vander_pinv, y)
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/PeakUtils-1.3.3/setup.py new/PeakUtils-1.3.4/setup.py
--- old/PeakUtils-1.3.3/setup.py 2020-01-23 15:26:22.000000000 +0100
+++ new/PeakUtils-1.3.4/setup.py 2022-08-05 15:07:23.000000000 +0200
@@ -5,7 +5,7 @@
setup(
name='PeakUtils',
- version='1.3.3',
+ version='1.3.4',
description='Peak detection utilities for 1D data',
long_description=long_description,
long_description_content_type="text/x-rst",
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/PeakUtils-1.3.3/tests/perf.py
new/PeakUtils-1.3.4/tests/perf.py
--- old/PeakUtils-1.3.3/tests/perf.py 2020-01-23 15:24:11.000000000 +0100
+++ new/PeakUtils-1.3.4/tests/perf.py 2022-08-05 14:56:58.000000000 +0200
@@ -16,14 +16,13 @@
("Small - High noise", make_data(200, 3.), 100),
("Big - Low noise", make_data(20000, 1), 5),
("Big - High noise", make_data(20000, 2.), 5),
- ("Plateaus", (0, np.insert(np.ones(20000-3),
- [1000, 10000, -1000], 3)), 5)]
+ ("Plateaus", (0, np.insert(np.ones(20000-3), [1000, 10000,
-1000], 3)), 5)]
for name, data, rep in tests:
begin = timer()
for _ in range(rep):
y = data[1] - peakutils.baseline(data[1])
- if name is "Plateaus": y = data[1]
+ if name == "Plateaus": y = data[1]
i = peakutils.indexes(y, thres=0.4, min_dist=y.size // 5)
end = timer()
