diff --git a/lmfit-1.0.3.tar.gz b/lmfit-1.0.3.tar.gz deleted file mode 100644 index 08e90a8..0000000 --- a/lmfit-1.0.3.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:d067c3ea501f035af5d3c079e6e6e35dc3cc1ac7d439429a425b0aeb5a7858a2 -size 292475 diff --git a/lmfit-1.1.0.tar.gz b/lmfit-1.1.0.tar.gz new file mode 100644 index 0000000..26de7d1 --- /dev/null +++ b/lmfit-1.1.0.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a2755b708ad7bad010178da28f082f55cbee7a084a625b452632e2d77b5391fb +size 308634 diff --git a/python-lmfit.changes b/python-lmfit.changes index af90758..d2c5470 100644 --- a/python-lmfit.changes +++ b/python-lmfit.changes @@ -1,3 +1,46 @@ +------------------------------------------------------------------- +Fri Jan 13 15:42:09 UTC 2023 - Ben Greiner + +- 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 + ------------------------------------------------------------------- Tue Dec 28 19:11:00 UTC 2021 - Ben Greiner diff --git a/python-lmfit.spec b/python-lmfit.spec index 978e268..7879927 100644 --- a/python-lmfit.spec +++ b/python-lmfit.spec @@ -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 -e '/^#!\//, 1d' lmfit/jsonutils.py sed -i '/addopts/d' setup.cfg %build -%python_build +%pyproject_wheel %install -%python_install +%pyproject_install %python_expand %fdupes %{buildroot}%{$python_sitelib} %check -%{python_exec -c "import sys, lmfit, numpy, scipy, asteval, uncertainties; -print('Python: {}\n\n' -'lmfit: {}, scipy: {}, numpy: {}, asteval: {}, uncertainties: {}'.format( - sys.version, - lmfit.__version__, - scipy.__version__, - numpy.__version__, - asteval.__version__, - uncertainties.__version__ -))"} - -cat << 'EOF' >> testexample.py -import numpy as np - -import lmfit -from lmfit.lineshapes import gaussian -from lmfit.models import PseudoVoigtModel - -x = np.linspace(0, 10, 201) -np.random.seed(0) -y = gaussian(x, 10.0, 6.15, 0.8) -y += gaussian(x, 8.0, 6.35, 1.1) -y += gaussian(x, 0.25, 6.00, 7.5) -y += np.random.normal(size=len(x), scale=0.5) - -# with NaN values in the input data -y[55] = y[91] = np.nan -mod = PseudoVoigtModel() -params = mod.make_params(amplitude=20, center=5.5, - sigma=1, fraction=0.25) -params['fraction'].vary = False - -# with propagate, should get no error, but bad results -result = mod.fit(y, params, x=x, nan_policy='propagate') -lmfit.report_fit(result) - -print(result.__dict__) -EOF - -cat testexample.py - -%python_exec testexample.py - -# We don't care about speed +# We don't care about speed on obs donttest="speed" # these tests fail on non x86_64. Upstream does not care: https://github.com/lmfit/lmfit-py/issues/692 donttest+=" or test_model_nan_policy" @@ -136,7 +93,7 @@ fi %pytest -k "not ($donttest)" %files %{python_files} -%doc README.rst THANKS.txt +%doc README.rst AUTHORS.txt %license LICENSE %{python_sitelib}/lmfit %{python_sitelib}/lmfit-%{version}*-info