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pkgname=python-lmfit
pkgver=1.3.2
pkgrel=1
pkgdesc="Non-Linear Least Squares Minimization, based on scipy.optimize"
arch=(any)
url=http:/lmfit.github.io/lmfit-py/
license=('BSD-3-Clause')
makedepends=(
python-build
python-installer
python-wheel
python-setuptools-scm
)
depends=(
python-asteval
python-dill
ipython
python-matplotlib
python-numpy
python-pandas
python-pytest
python-scipy
python-uncertainties
)
optdepends=(
'python-emcee: documentation generation'
)
checkdepends=(
python-pytest-cov
python-flaky
python-coverage
)
source=("${pkgname}-${pkgver}.tar.gz::https://github.com/lmfit/lmfit-py/archive/${pkgver}.tar.gz")
sha256sums=('68f00e729112202c751d2adc0cdeddc91fc24a29844c625de3de0a7ea649b7ab')
prepare() {
cd lmfit-py-${pkgver}
}
build() {
cd lmfit-py-${pkgver}
SETUPTOOLS_SCM_PRETEND_VERSION=${pkgver} python -m build --wheel --no-isolation
}
check() {
cd lmfit-py-${pkgver}
_these_fail=(
test_altered_params_json
test_independent_var_parsing
test_saveload_modelresult_roundtrip
test_save_load_modelresult
test_saveload_modelresult_attributes
test_saveload_modelresult_eval_uncertainty
test_saveload_modelresult_expression_model
test_saveload_usersyms
test_parameters_deepcopy
test_dumps_loads_parameters
test_dump_load_parameters
test_dumps_loads_parameters_usersyms
)
printf -v _joined '%s and not ' "${_these_fail[@]}"
python -m pytest tests -k "$(echo "not ${_joined% and not }")" # skip the tests we know fail
}
package() {
cd lmfit-py-${pkgver}
python -m installer --destdir="${pkgdir}" dist/*.whl
}
# vim:ts=2:sw=2:et:
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