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Hello community,
here is the log from the commit of package python-lmfit for openSUSE:Factory
checked in at 2023-01-17 17:35:08
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-lmfit (Old)
and /work/SRC/openSUSE:Factory/.python-lmfit.new.32243 (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python-lmfit"
Tue Jan 17 17:35:08 2023 rev:4 rq:1058764 version:1.1.0
Changes:
--------
--- /work/SRC/openSUSE:Factory/python-lmfit/python-lmfit.changes
2021-12-30 15:56:07.908687447 +0100
+++ /work/SRC/openSUSE:Factory/.python-lmfit.new.32243/python-lmfit.changes
2023-01-17 17:35:18.637179977 +0100
@@ -1,0 +2,43 @@
+Fri Jan 13 15:42:09 UTC 2023 - Ben Greiner <c...@bnavigator.de>
+
+- Update to v1.1.0
+ ## New features:
+ * add Pearson4Model (@lellid; PR #800)
+ * add SplineModel (PR #804)
+ * add R^2 rsquared statistic to fit outputs and reports for Model
+ fits (Issue #803; PR #810)
+ * add calculation of dely for model components of composite
+ models (Issue #761; PR #826)
+ ## Bug fixes/enhancements:
+ * make sure variable spercent is always defined in
+ params_html_table functions (reported by @MySlientWind; Issue
+ #768, PR #770)
+ * always initialize the variables success and covar the
+ MinimizerResult (reported by Marc W. Pound; PR #771)
+ * build package following PEP517/PEP518; use pyproject.toml and
+ setup.cfg; leave setup.py for now (PR #777)
+ * components used to create a CompositeModel can now have
+ different independent variables (@Julian-Hochhaus; Discussion
+ #787; PR #788)
+ * fixed function definition for StepModel(form='linear'), was not
+ consistent with the other ones (@matpompili; PR #794)
+ * fixed height factor for Gaussian2dModel, was not correct
+ (@matpompili; PR #795)
+ * for covariances with negative diagonal elements, we set the
+ covariance to None (PR #813)
+ * fixed linear mode for RectangleModel (@arunpersaud; Issue #815;
+ PR #816)
+ * report correct initial values for parameters with bounds (Issue
+ #820; PR #821)
+ * allow recalculation of confidence intervals (@jagerber48; PR
+ #798)
+ * include 'residual' in JSON output of ModelResult.dumps
+ (@mac01021; PR #830)
+ * supports and is tested against Python 3.11; updated minimum
+ required version of SciPy, NumPy, and asteval (PR #832)
+ ## Deprecations:
+ * remove support for Python 3.6 which reached EOL on 2021-12-23
+ (PR #790)
+- Clean check section from extra example
+
+-------------------------------------------------------------------
Old:
----
lmfit-1.0.3.tar.gz
New:
----
lmfit-1.1.0.tar.gz
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Other differences:
------------------
++++++ python-lmfit.spec ++++++
--- /var/tmp/diff_new_pack.dVd3Vv/_old 2023-01-17 17:35:19.249183527 +0100
+++ /var/tmp/diff_new_pack.dVd3Vv/_new 2023-01-17 17:35:19.253183550 +0100
@@ -1,7 +1,7 @@
#
# spec file for package python-lmfit
#
-# 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
@@ -16,35 +16,35 @@
#
-%{?!python_module:%define python_module() python3-%{**}}
-%define skip_python2 1
-%define skip_python36 1
Name: python-lmfit
-Version: 1.0.3
+Version: 1.1.0
Release: 0
Summary: Least-Squares Minimization with Bounds and Constraints
License: BSD-3-Clause AND MIT
URL: https://lmfit.github.io/lmfit-py/
Source:
https://files.pythonhosted.org/packages/source/l/lmfit/lmfit-%{version}.tar.gz
+BuildRequires: %{python_module base >= 3.7}
+BuildRequires: %{python_module pip}
BuildRequires: %{python_module setuptools_scm}
BuildRequires: %{python_module setuptools}
+BuildRequires: %{python_module wheel}
BuildRequires: fdupes
BuildRequires: python-rpm-macros
-Requires: python-asteval >= 0.9.22
-Requires: python-numpy >= 1.18
-Requires: python-scipy >= 1.3
+Requires: python-asteval >= 0.9.28
+Requires: python-numpy >= 1.19
+Requires: python-scipy >= 1.6
+Requires: python-uncertainties >= 3.1.4
Recommends: python-dill
Recommends: python-emcee
Recommends: python-matplotlib
Recommends: python-pandas
-Recommends: python-uncertainties >= 3.0.1
BuildArch: noarch
# SECTION test requirements
-BuildRequires: %{python_module asteval >= 0.9.22}
-BuildRequires: %{python_module numpy >= 1.18}
+BuildRequires: %{python_module asteval >= 0.9.28}
+BuildRequires: %{python_module numpy >= 1.19}
BuildRequires: %{python_module pytest}
-BuildRequires: %{python_module scipy >= 1.4}
-BuildRequires: %{python_module uncertainties >= 3.0.1}
+BuildRequires: %{python_module scipy >= 1.6}
+BuildRequires: %{python_module uncertainties >= 3.1.4}
# /SECTION
%python_subpackages
@@ -74,57 +74,14 @@
sed -i '/addopts/d' setup.cfg
%build
-%python_build
+%pyproject_wheel
%install
-%python_install
+%pyproject_install
%python_expand %fdupes %{buildroot}%{$python_sitelib}
%check
-%{python_exec -c "import sys, lmfit, numpy, scipy, asteval, uncertainties;
-print('Python: {}\n\n'
-'lmfit: {}, scipy: {}, numpy: {}, asteval: {}, uncertainties: {}'.format(
- sys.version,
- lmfit.__version__,
- scipy.__version__,
- numpy.__version__,
- asteval.__version__,
- uncertainties.__version__
-))"}
-
-cat << 'EOF' >> testexample.py
-import numpy as np
-
-import lmfit
-from lmfit.lineshapes import gaussian
-from lmfit.models import PseudoVoigtModel
-
-x = np.linspace(0, 10, 201)
-np.random.seed(0)
-y = gaussian(x, 10.0, 6.15, 0.8)
-y += gaussian(x, 8.0, 6.35, 1.1)
-y += gaussian(x, 0.25, 6.00, 7.5)
-y += np.random.normal(size=len(x), scale=0.5)
-
-# with NaN values in the input data
-y[55] = y[91] = np.nan
-mod = PseudoVoigtModel()
-params = mod.make_params(amplitude=20, center=5.5,
- sigma=1, fraction=0.25)
-params['fraction'].vary = False
-
-# with propagate, should get no error, but bad results
-result = mod.fit(y, params, x=x, nan_policy='propagate')
-lmfit.report_fit(result)
-
-print(result.__dict__)
-EOF
-
-cat testexample.py
-
-%python_exec testexample.py
-
-# We don't care about speed
+# We don't care about speed on obs
donttest="speed"
# these tests fail on non x86_64. Upstream does not care:
https://github.com/lmfit/lmfit-py/issues/692
donttest+=" or test_model_nan_policy"
@@ -136,7 +93,7 @@
%pytest -k "not ($donttest)"
%files %{python_files}
-%doc README.rst THANKS.txt
+%doc README.rst AUTHORS.txt
%license LICENSE
%{python_sitelib}/lmfit
%{python_sitelib}/lmfit-%{version}*-info
++++++ lmfit-1.0.3.tar.gz -> lmfit-1.1.0.tar.gz ++++++
++++ 4543 lines of diff (skipped)
