Accepting request 1058764 from devel:languages:python:numeric
OBS-URL: https://build.opensuse.org/request/show/1058764 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-lmfit?expand=0&rev=4
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Dominique Leuenberger
Git OBS Bridge
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version https://git-lfs.github.com/spec/v1
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oid sha256:d067c3ea501f035af5d3c079e6e6e35dc3cc1ac7d439429a425b0aeb5a7858a2
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size 292475
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3
lmfit-1.1.0.tar.gz
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lmfit-1.1.0.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:a2755b708ad7bad010178da28f082f55cbee7a084a625b452632e2d77b5391fb
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size 308634
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-------------------------------------------------------------------
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Fri Jan 13 15:42:09 UTC 2023 - Ben Greiner <code@bnavigator.de>
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- Update to v1.1.0
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## New features:
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* add Pearson4Model (@lellid; PR #800)
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* add SplineModel (PR #804)
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* add R^2 rsquared statistic to fit outputs and reports for Model
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fits (Issue #803; PR #810)
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* add calculation of dely for model components of composite
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models (Issue #761; PR #826)
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## Bug fixes/enhancements:
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* make sure variable spercent is always defined in
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params_html_table functions (reported by @MySlientWind; Issue
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#768, PR #770)
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* always initialize the variables success and covar the
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MinimizerResult (reported by Marc W. Pound; PR #771)
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* build package following PEP517/PEP518; use pyproject.toml and
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setup.cfg; leave setup.py for now (PR #777)
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* components used to create a CompositeModel can now have
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different independent variables (@Julian-Hochhaus; Discussion
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#787; PR #788)
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* fixed function definition for StepModel(form='linear'), was not
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consistent with the other ones (@matpompili; PR #794)
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* fixed height factor for Gaussian2dModel, was not correct
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(@matpompili; PR #795)
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* for covariances with negative diagonal elements, we set the
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covariance to None (PR #813)
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* fixed linear mode for RectangleModel (@arunpersaud; Issue #815;
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PR #816)
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* report correct initial values for parameters with bounds (Issue
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#820; PR #821)
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* allow recalculation of confidence intervals (@jagerber48; PR
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#798)
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* include 'residual' in JSON output of ModelResult.dumps
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(@mac01021; PR #830)
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* supports and is tested against Python 3.11; updated minimum
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required version of SciPy, NumPy, and asteval (PR #832)
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## Deprecations:
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* remove support for Python 3.6 which reached EOL on 2021-12-23
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(PR #790)
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- Clean check section from extra example
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-------------------------------------------------------------------
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Tue Dec 28 19:11:00 UTC 2021 - Ben Greiner <code@bnavigator.de>
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@ -1,7 +1,7 @@
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#
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# spec file for package python-lmfit
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#
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# Copyright (c) 2021 SUSE LLC
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# Copyright (c) 2023 SUSE LLC
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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@ -16,35 +16,35 @@
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#
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%{?!python_module:%define python_module() python3-%{**}}
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%define skip_python2 1
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%define skip_python36 1
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Name: python-lmfit
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Version: 1.0.3
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Version: 1.1.0
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Release: 0
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Summary: Least-Squares Minimization with Bounds and Constraints
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License: BSD-3-Clause AND MIT
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URL: https://lmfit.github.io/lmfit-py/
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Source: https://files.pythonhosted.org/packages/source/l/lmfit/lmfit-%{version}.tar.gz
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BuildRequires: %{python_module base >= 3.7}
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BuildRequires: %{python_module pip}
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BuildRequires: %{python_module setuptools_scm}
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BuildRequires: %{python_module setuptools}
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BuildRequires: %{python_module wheel}
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BuildRequires: fdupes
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BuildRequires: python-rpm-macros
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Requires: python-asteval >= 0.9.22
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Requires: python-numpy >= 1.18
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Requires: python-scipy >= 1.3
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Requires: python-asteval >= 0.9.28
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Requires: python-numpy >= 1.19
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Requires: python-scipy >= 1.6
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Requires: python-uncertainties >= 3.1.4
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Recommends: python-dill
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Recommends: python-emcee
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Recommends: python-matplotlib
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Recommends: python-pandas
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Recommends: python-uncertainties >= 3.0.1
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BuildArch: noarch
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# SECTION test requirements
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BuildRequires: %{python_module asteval >= 0.9.22}
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BuildRequires: %{python_module numpy >= 1.18}
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BuildRequires: %{python_module asteval >= 0.9.28}
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BuildRequires: %{python_module numpy >= 1.19}
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BuildRequires: %{python_module pytest}
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BuildRequires: %{python_module scipy >= 1.4}
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BuildRequires: %{python_module uncertainties >= 3.0.1}
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BuildRequires: %{python_module scipy >= 1.6}
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BuildRequires: %{python_module uncertainties >= 3.1.4}
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# /SECTION
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%python_subpackages
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@ -74,57 +74,14 @@ sed -i -e '/^#!\//, 1d' lmfit/jsonutils.py
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sed -i '/addopts/d' setup.cfg
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%build
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%python_build
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%pyproject_wheel
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%install
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%python_install
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%pyproject_install
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%python_expand %fdupes %{buildroot}%{$python_sitelib}
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%check
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%{python_exec -c "import sys, lmfit, numpy, scipy, asteval, uncertainties;
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print('Python: {}\n\n'
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'lmfit: {}, scipy: {}, numpy: {}, asteval: {}, uncertainties: {}'.format(
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sys.version,
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lmfit.__version__,
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scipy.__version__,
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numpy.__version__,
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asteval.__version__,
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uncertainties.__version__
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))"}
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cat << 'EOF' >> testexample.py
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import numpy as np
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import lmfit
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from lmfit.lineshapes import gaussian
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from lmfit.models import PseudoVoigtModel
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x = np.linspace(0, 10, 201)
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np.random.seed(0)
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y = gaussian(x, 10.0, 6.15, 0.8)
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y += gaussian(x, 8.0, 6.35, 1.1)
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y += gaussian(x, 0.25, 6.00, 7.5)
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y += np.random.normal(size=len(x), scale=0.5)
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# with NaN values in the input data
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y[55] = y[91] = np.nan
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mod = PseudoVoigtModel()
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params = mod.make_params(amplitude=20, center=5.5,
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sigma=1, fraction=0.25)
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params['fraction'].vary = False
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# with propagate, should get no error, but bad results
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result = mod.fit(y, params, x=x, nan_policy='propagate')
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lmfit.report_fit(result)
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print(result.__dict__)
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EOF
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cat testexample.py
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%python_exec testexample.py
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# We don't care about speed
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# We don't care about speed on obs
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donttest="speed"
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# these tests fail on non x86_64. Upstream does not care: https://github.com/lmfit/lmfit-py/issues/692
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donttest+=" or test_model_nan_policy"
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@ -136,7 +93,7 @@ fi
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%pytest -k "not ($donttest)"
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%files %{python_files}
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%doc README.rst THANKS.txt
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%doc README.rst AUTHORS.txt
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%license LICENSE
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%{python_sitelib}/lmfit
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%{python_sitelib}/lmfit-%{version}*-info
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