head 1.27; access; symbols pkgsrc-2026Q2:1.27.0.6 pkgsrc-2026Q2-base:1.27 pkgsrc-2026Q1:1.27.0.4 pkgsrc-2026Q1-base:1.27 pkgsrc-2025Q4:1.27.0.2 pkgsrc-2025Q4-base:1.27 pkgsrc-2025Q3:1.26.0.2 pkgsrc-2025Q3-base:1.26 pkgsrc-2025Q2:1.24.0.2 pkgsrc-2025Q2-base:1.24 pkgsrc-2025Q1:1.23.0.2 pkgsrc-2025Q1-base:1.23 pkgsrc-2024Q4:1.22.0.2 pkgsrc-2024Q4-base:1.22 pkgsrc-2024Q3:1.20.0.2 pkgsrc-2024Q3-base:1.20 pkgsrc-2024Q2:1.19.0.8 pkgsrc-2024Q2-base:1.19 pkgsrc-2024Q1:1.19.0.6 pkgsrc-2024Q1-base:1.19 pkgsrc-2023Q4:1.19.0.4 pkgsrc-2023Q4-base:1.19 pkgsrc-2023Q3:1.19.0.2 pkgsrc-2023Q3-base:1.19 pkgsrc-2023Q2:1.17.0.2 pkgsrc-2023Q2-base:1.17 pkgsrc-2023Q1:1.16.0.8 pkgsrc-2023Q1-base:1.16 pkgsrc-2022Q4:1.16.0.6 pkgsrc-2022Q4-base:1.16 pkgsrc-2022Q3:1.16.0.4 pkgsrc-2022Q3-base:1.16 pkgsrc-2022Q2:1.16.0.2 pkgsrc-2022Q2-base:1.16 pkgsrc-2022Q1:1.15.0.2 pkgsrc-2022Q1-base:1.15 pkgsrc-2021Q4:1.13.0.2 pkgsrc-2021Q4-base:1.13 pkgsrc-2021Q3:1.11.0.4 pkgsrc-2021Q3-base:1.11 pkgsrc-2021Q2:1.11.0.2 pkgsrc-2021Q2-base:1.11 pkgsrc-2021Q1:1.10.0.8 pkgsrc-2021Q1-base:1.10 pkgsrc-2020Q4:1.10.0.6 pkgsrc-2020Q4-base:1.10 pkgsrc-2020Q3:1.10.0.4 pkgsrc-2020Q3-base:1.10 pkgsrc-2020Q2:1.10.0.2 pkgsrc-2020Q2-base:1.10 pkgsrc-2020Q1:1.8.0.2 pkgsrc-2020Q1-base:1.8 pkgsrc-2019Q4:1.7.0.8 pkgsrc-2019Q4-base:1.7 pkgsrc-2019Q3:1.7.0.4 pkgsrc-2019Q3-base:1.7 pkgsrc-2019Q2:1.7.0.2 pkgsrc-2019Q2-base:1.7 pkgsrc-2019Q1:1.6.0.4 pkgsrc-2019Q1-base:1.6 pkgsrc-2018Q4:1.6.0.2 pkgsrc-2018Q4-base:1.6 pkgsrc-2018Q3:1.5.0.2 pkgsrc-2018Q3-base:1.5 pkgsrc-2018Q2:1.4.0.2 pkgsrc-2018Q2-base:1.4 pkgsrc-2018Q1:1.3.0.2 pkgsrc-2018Q1-base:1.3 pkgsrc-2017Q4:1.2.0.6 pkgsrc-2017Q4-base:1.2 pkgsrc-2017Q3:1.2.0.4 pkgsrc-2017Q3-base:1.2 pkgsrc-2017Q2:1.1.0.8 pkgsrc-2017Q2-base:1.1 pkgsrc-2017Q1:1.1.0.6 pkgsrc-2017Q1-base:1.1 pkgsrc-2016Q4:1.1.0.4 pkgsrc-2016Q4-base:1.1 pkgsrc-2016Q3:1.1.0.2 pkgsrc-2016Q3-base:1.1; 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author rillig; state Exp; branches; next 1.7; commitid shGUwZfkr7sleeTB; 1.7 date 2019.06.15.07.21.21; author adam; state Exp; branches; next 1.6; commitid 5xeKs3nfR8FnRfrB; 1.6 date 2018.12.03.20.41.44; author adam; state Exp; branches; next 1.5; commitid uyErpg6oHK3xwo2B; 1.5 date 2018.07.13.06.22.35; author adam; state Exp; branches; next 1.4; commitid cQSpOAQPvZeUmWJA; 1.4 date 2018.04.14.05.32.22; author adam; state Exp; branches; next 1.3; commitid wws9yYuzApn2ZmyA; 1.3 date 2018.02.27.06.40.07; author adam; state Exp; branches; next 1.2; commitid klw63fy5y8fZPssA; 1.2 date 2017.08.31.08.27.42; author prlw1; state Exp; branches; next 1.1; commitid mXhrdFYXzWpedl5A; 1.1 date 2016.09.16.15.20.31; author prlw1; state Exp; branches; next ; commitid rJaHzNzXdOdDIwmz; desc @@ 1.27 log @*: remove reference to (removed) Python 3.9 @ text @# $NetBSD: Makefile,v 1.26 2025/08/26 13:23:07 adam Exp $ DISTNAME= lmfit-1.3.4 PKGNAME= ${PYPKGPREFIX}-${DISTNAME} CATEGORIES= math python MASTER_SITES= ${MASTER_SITE_PYPI:=l/lmfit/} MAINTAINER= prlw1@@cam.ac.uk HOMEPAGE= https://lmfit.github.io/lmfit-py/ COMMENT= Least-squares minimization with bounds and constraints LICENSE= modified-bsd TOOL_DEPENDS+= ${PYPKGPREFIX}-setuptools>=78:../../devel/py-setuptools TOOL_DEPENDS+= ${PYPKGPREFIX}-setuptools_scm>=6.2:../../devel/py-setuptools_scm DEPENDS+= ${PYPKGPREFIX}-asteval>=1.0:../../math/py-asteval DEPENDS+= ${PYPKGPREFIX}-dill>=0.3.4:../../textproc/py-dill DEPENDS+= ${PYPKGPREFIX}-numpy>=1.24:../../math/py-numpy DEPENDS+= ${PYPKGPREFIX}-scipy>=1.10.0:../../math/py-scipy DEPENDS+= ${PYPKGPREFIX}-uncertainties>=3.2.2:../../math/py-uncertainties USE_LANGUAGES= # none PYTHON_VERSIONS_INCOMPATIBLE= 310 .include "../../lang/python/wheel.mk" .include "../../mk/bsd.pkg.mk" @ 1.26 log @py-lmfit: updated to 1.3.4 1.3.4 Mostly maintenance and small bug fixes: capture and ignore std_dev=0 warnings from uncertainties package better ensure that parameter values and sterr are floats, not np.floats fix Doniach formula in docstring add bose and fermi lineshapes, and BoseModel and FermiModel (with tests) remove deprecated disp argument for ampgo fix typos in README.rst fix typos in doc update to latest SciPy/NumPy version update pre-commit and CI hooks update zenodo link several fixes for deprecations and test failures do not test for warnings from upstream code that might change or be suppressed or altered update license name for PyPI compatibiilty @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.25 2025/07/03 19:18:08 wiz Exp $ d23 1 a23 1 PYTHON_VERSIONS_INCOMPATIBLE= 39 310 @ 1.25 log @*: py-numpy needs Python >= 3.11 now @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.24 2025/04/15 16:31:38 adam Exp $ d3 1 a3 1 DISTNAME= lmfit-1.3.3 a4 1 PKGREVISION= 1 @ 1.24 log @Fix PLIST after py-setuptools update; bump depends and revision @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.23 2025/03/13 09:01:25 adam Exp $ d24 1 a24 1 PYTHON_VERSIONS_INCOMPATIBLE= 39 @ 1.23 log @py-lmfit: updated to 1.3.3 Version 1.3.3 Fixes: - fix loading spline models with more than five knots - improved SplineModel to explicitly allow more knots, make it easier to evaluate and save/reload - improvements to adding Parameters. - support Model functions with "barestar" syntax - fix several related problems with providing a Jacobian function, especially for consistency across solvers (including least_squares), and for pickling - fix Step and Rectangle Models to allow a negative value for sigma, indicating a downward step Build, Maintenance: - update issue templates - add test for consistent init_fit and best_fit for saved/looded SplineModel - fix NumPy v2 DeprecationWarning - uppdate SciPy/NumPy dependencies. - remove numexpr dependency (again) - drop support for Python 3.8, add Python 3.13 - asteval no longer raises NameError to Python, so we catch exceptions from asteval when creating parameters. - avoid setting ``stderr`` to ``None`` for uncertainties calculations. Documentation and Examples: - add example with uncertainties in both x and y - make sign of residual calculations in model.py consistent with documentation - add example fitting multiple datasets using Model interface - tweaks to 'sphinx-gallery' settings. - update names of the documentation examples in Gallery @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.22 2024/11/11 07:28:41 wiz Exp $ d5 1 d14 1 a14 1 TOOL_DEPENDS+= ${PYPKGPREFIX}-setuptools>=45:../../devel/py-setuptools @ 1.22 log @py-*: remove unused tool dependency py-setuptools includes the py-wheel functionality nowadays @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.21 2024/10/14 06:45:49 wiz Exp $ d3 1 a3 1 DISTNAME= lmfit-1.3.2 d17 2 a18 2 DEPENDS+= ${PYPKGPREFIX}-numpy>=1.19:../../math/py-numpy DEPENDS+= ${PYPKGPREFIX}-scipy>=1.6:../../math/py-scipy @ 1.21 log @*: clean-up after python38 removal @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.20 2024/08/02 07:39:27 adam Exp $ a14 1 TOOL_DEPENDS+= ${PYPKGPREFIX}-wheel-[0-9]*:../../devel/py-wheel @ 1.20 log @py-lmfit: updated to 1.3.2 Version 1.3.2 Release Notes (July 19, 2024) ==================================================== Fixes: - fix typo in restoring a ``_buildmodel`` dict - fixes for Numpy2 support - ensure that correct initial params are used when re-fitting a ModeRresult - make sure that CompositeModels cannot have a prefix Build, Maintenance: - update pre-commit hooks, adding codespell exceptions - update to latest SciPy/NumPy versions, including dependency versions for NumPy 2. - now require asteval>=1.0 and uncertainties>=3.2.2 Version 1.3.1 Release Notes (April 19, 2024) ==================================================== Mostly fixes for bugs introduced in 1.3.0 - allow ``Model.eval_uncertainty`` to be performed with single points for ``x`` independent variables - allow ``Model._parse_param`` to handle older-style passed-in 'argnames' and 'kwargs' as for variadic function, add test - better allow (or re-allow) Model function independent variables / keyword argumentss to be given non-default values at model creation time - add ``form`` as independent variable for builtin Step, Rectangle, Thermal Distribution models. - use a copy of ``sys.modules`` when iterating over it. - use ``Model._reprstring(long=True)`` for model ``Model.__repr__()``. Version 1.3.0 Release Notes (April 4, 2024) =========================================== New features: - add ``'min_rel_change'`` as optional variable in calculation of confidence intervals with ``Model.conf_interval()``. - ``Model.eval_uncertainty`` now takes an optional ``dscale`` parameter (default value of 0.01) to set the step size for calculating derivatives - add calculation of ``predicted_interval`` to ``Model.eval_uncertainty`` Bug fixes/enhancements: - restore best-fit parameter values for high accuracy values of constrained values - improvement to Model for the difference between Parameter, "independent variable", and "option". With this change, keyword arguments to model functions with non-numerice default values such as ``do_thing=True``, or ``form='linear'`` has those arguments become clearly identified as independent variables,and use the provided values as default values. - better saving/loading saved states of Model now use dill, have several cleanups, and are now versioned for future-proofing. Also, propagate funcdets for Parameters when loading a Model. - in the TNC method, ``maxfun`` is used instead of ``maxiter``. - fix bug calculating r-squared for fits with weights - fix bug in ``modelresult.eval_uncertainty()`` after ``load_modelresult()`` - use StringIO for ``pandas.read_json``. - add test for MinimizerResult.uvars after successful fit - adding an example using basinhopping, can take other methods as command-line argument Maintenance/Deprecations: - drop support for Python 3.7 that reached EOL on 2023-06-27 - fix tests for Python 3.12 and Python 3.13-dev - increase minimum numpy verstio to 1.23 and scipy to 1.8. - updates for compatibility with numpy 2.0 - the ``dill`` package is now required. - build switchded to use pyproject.toml - fix broken links in Examples gallery - fix intersphinx mapping to scipy docs. @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.19 2023/08/01 23:20:47 wiz Exp $ d24 1 a24 1 PYTHON_VERSIONS_INCOMPATIBLE= 27 38 39 @ 1.19 log @*: remove more references to Python 3.7 @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.18 2023/07/01 08:37:39 wiz Exp $ d3 1 a3 1 DISTNAME= lmfit-1.0.3 a4 1 PKGREVISION= 1 d13 8 a20 6 DEPENDS+= ${PYPKGPREFIX}-asteval>=0.9.22:../../math/py-asteval DEPENDS+= ${PYPKGPREFIX}-numpy>=1.18:../../math/py-numpy DEPENDS+= ${PYPKGPREFIX}-scipy>=1.4:../../math/py-scipy DEPENDS+= ${PYPKGPREFIX}-uncertainties>=3.0.1:../../math/py-uncertainties TOOL_DEPENDS+= ${PYPKGPREFIX}-setuptools_scm-[0-9]*:../../devel/py-setuptools_scm TEST_DEPENDS+= ${PYPKGPREFIX}-test-[0-9]*:../../devel/py-test d24 1 a24 1 PYTHON_VERSIONS_INCOMPATIBLE= 27 38 d26 1 a26 1 .include "../../lang/python/egg.mk" @ 1.18 log @*: restrict py-numpy users to 3.9+ in preparation for update @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.17 2023/06/06 12:41:53 riastradh Exp $ d23 1 a23 1 PYTHON_VERSIONS_INCOMPATIBLE= 27 37 38 @ 1.17 log @Mass-change BUILD_DEPENDS to TOOL_DEPENDS outside mk/. Almost all uses, if not all of them, are wrong, according to the semantics of BUILD_DEPENDS (packages built for target available for use _by_ tools at build-time) and TOOL_DEPEPNDS (packages built for host available for use _as_ tools at build-time). No change to BUILD_DEPENDS as used correctly inside buildlink3. As proposed on tech-pkg: https://mail-index.netbsd.org/tech-pkg/2023/06/03/msg027632.html @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.16 2022/04/10 00:57:14 gutteridge Exp $ d23 1 a23 1 PYTHON_VERSIONS_INCOMPATIBLE= 27 37 # py-scipy @ 1.16 log @Fix build breakage from py-scipy now being Python >= 3.8 @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.15 2022/01/04 20:54:14 wiz Exp $ d18 1 a18 1 BUILD_DEPENDS+= ${PYPKGPREFIX}-setuptools_scm-[0-9]*:../../devel/py-setuptools_scm @ 1.15 log @*: bump PKGREVISION for egg.mk users They now have a tool dependency on py-setuptools instead of a DEPENDS @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.14 2021/12/30 13:05:36 adam Exp $ d23 1 a23 1 PYTHON_VERSIONS_INCOMPATIBLE= 27 # py-scipy @ 1.14 log @Forget about Python 3.6 @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.13 2021/12/17 07:49:34 wiz Exp $ d5 1 @ 1.13 log @py-lmfit: add build dependency on py-setuptools_scm @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.12 2021/11/07 11:58:47 adam Exp $ d22 1 a22 1 PYTHON_VERSIONS_INCOMPATIBLE= 27 36 # py-scipy @ 1.12 log @py-lmfit: updated to 1.0.3 Version 1.0.3 Release Notes (October 14, 2021) ============================================== Potentially breaking change: - argument ``x`` is now required for the ``guess`` method of Models To get reasonable estimates for starting values one should always supply both ``x`` and ``y`` values; in some cases it would work when only providing ``data`` (i.e., y-values). With the change above, ``x`` is now required in the ``guess`` method call, so scripts might need to be updated to explicitly supply ``x``. Bug fixes/enhancements: - do not overwrite user-specified figure titles in Model.plot() functions and allow setting with ``title`` keyword argument - preserve Parameters subclass in deepcopy - coerce ``data`` and ``indepdent_vars`` to NumPy array with ``dtype=float64`` or ``dtype=complex128`` where applicable - fix collision between parameter names in built-in models and user-specified parameters - correct error message in PolynomialModel - improved handling of altered JSON data - map ``max_nfev`` to ``maxiter`` when using ``differential_evolution`` - correct use of noise versus experimental uncertainty in the documentation - specify return type of ``eval`` method more precisely and allow for plotting of (Complex)ConstantModel by coercing their ``float``, ``int``, or ``complex`` return value to a ``numpy.ndarray`` - fix ``dho`` (Damped Harmonic Oscillator) lineshape - reset ``Minimizer._abort`` to ``False`` before starting a new fit - fix typo in ``guess_from_peak2d`` Various: - update asteval dependency to >= 0.9.22 to avoid DeprecationWarnings from NumPy v1.20.0 - remove incorrectly spelled ``DonaichModel`` and ``donaich`` lineshape, deprecated in version 1.0.1 - remove occurrences of OrderedDict throughout the code; dict is order-preserving since Python 3.6 - update the contributing instructions - (again) defer import of matplotlib to when it is needed - fix description of ``name`` argument in ``Parameters.add`` - update dependencies, make sure a functional development environment is installed on Windows - use ``setuptools_scm`` for version info instead of ``versioneer`` - transition to using ``f-strings`` - mark ``test_manypeaks_speed.py`` as flaky to avoid intermittent test failures - update scipy dependency to >= 1.14.0 - improvement to output of examples in sphinx-gallery and use higher resolution figures - remove deprecated functions ``lmfit.printfuncs.report_errors`` and ``asteval`` argument in ``Parameters`` class .. _whatsnew_102_label: Version 1.0.2 Release Notes (February 7, 2021) ============================================== Version 1.0.2 officially supports Python 3.9 and has dropped support for Python 3.5. The minimum version of the following dependencies were updated: asteval>=0.9.21, numpy>=1.18, and scipy>=1.3. New features: - added two-dimensional Gaussian lineshape and model - all built-in models are now registered in ``lmfit.models.lmfit_models``; new Model class attribute ``valid_forms`` - added a SineModel - add the ``run_mcmc_kwargs argument`` to ``Minimizer.emcee`` to pass to the ``emcee.EnsembleSampler.run_mcmc`` function Bug fixes: - ``ModelResult.eval_uncertainty`` should use provided Parameters - center in lognormal model can be negative - restore best-fit values after calculation of covariance matrix - add helper-function ``not_zero`` to prevent ZeroDivisionError in lineshapes and use in exponential lineshape - save ``last_internal_values`` and use to restore internal values if fit is aborted - dumping a fit using the ``lbfgsb`` method now works, convert bytes to string if needed - fix use of callable Jacobian for scalar methods - preserve float/int types when encoding for JSON - better support for saving/loading of ExpressionModels and assure that ``init_params`` and ``init_fit`` are set when loading a ``ModelResult`` Various: - update minimum dependencies - improvements in coding style, docstrings, CI, and test coverage - fix typo in Oscillator - add example using SymPy - allow better custom pool for emcee() - update NIST Strd reference functions and tests - make building of documentation cross-platform - relax module name check in ``test_check_ast_errors`` for Python 3.9 - fix/update layout of documentation, now uses the sphinx13 theme - fixed DeprecationWarnings reported by NumPy v1.2.0 - increase value of ``tiny`` and check for it in bounded parameters to avoid "parameter not moving from initial value" - add ``max_nfev`` to ``basinhopping`` and ``brute`` (now supported everywhere in lmfit) and set to more uniform default values - use Azure Pipelines for CI, drop Travis @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.11 2021/04/09 14:41:35 tnn Exp $ d17 1 @ 1.11 log @revert wrong fix for py-scipy python 3.6 deprecation, fix properly @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.10 2020/05/13 15:36:27 adam Exp $ d3 1 a3 1 DISTNAME= lmfit-1.0.1 d13 3 a15 3 DEPENDS+= ${PYPKGPREFIX}-asteval>=0.9.16:../../math/py-asteval DEPENDS+= ${PYPKGPREFIX}-numpy>=1.16:../../math/py-numpy DEPENDS+= ${PYPKGPREFIX}-scipy>=1.2:../../math/py-scipy d17 1 d21 1 a21 1 PYTHON_VERSIONS_INCOMPATIBLE= 36 27 # py-scipy @ 1.10 log @py-lmfit: updated to 1.0.1 Version 1.0.1 Release Notes ============================ **Version 1.0.1 is the last release that supports Python 3.5**. All newer version will require 3.6+ so that we can use formatting-strings and rely on dictionaries being ordered. New features: - added thermal distribution model and lineshape - introduced a new argument ``max_nfev`` to uniformly specify the maximum number of function evalutions **Please note: all other arguments (e.g., ``maxfev``, ``maxiter``, ...) will no longer be passed to the underlying solver. A warning will be emitted stating that one should use ``max_nfev``.** - the attribute ``call_kws`` was added to the ``MinimizerResult`` class and contains the keyword arguments that are supplied to the solver in SciPy. Bug fixes: - fixes to the ``load`` and ``__setstate__`` methods of the Parameter class - fixed failure of ModelResult.dump() due to missing attributes - ``guess_from_peak`` function now also works correctly with decreasing x-values or when using pandas - the ``Parameter.set()`` method now correctly first updates the boundaries and then the value Various: - fixed typo for the use of expressions in the documentation - removal of PY2-compatibility and unused code and improved test coverage - removed deprecated ``isParameter`` function and automatic conversion of an ``uncertainties`` object - inaccurate FWHM calculations were removed from built-in models, others labeled as estimates - corrected spelling mistake for the Doniach lineshape and model - removed unsupported/untested code for IPython notebooks in lmfit/ui/* @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.9 2020/04/28 13:27:03 adam Exp $ d20 1 a20 1 PYTHON_VERSIONS_INCOMPATIBLE= 27 @ 1.9 log @py-lmfit: updated to 1.0.0 Version 1.0.0 Release Notes New features: - no new features are introduced in 1.0.0. Improvements: - support for Python 2 and use of the ``six`` package are removed. Various: - documentation updates to clarify the use of ``emcee``. @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.8 2020/01/18 23:32:52 rillig Exp $ d3 1 a3 1 DISTNAME= lmfit-1.0.0 a15 1 DEPENDS+= ${PYPKGPREFIX}-six>=1.11.0:../../lang/py-six @ 1.8 log @all: migrate several HOMEPAGEs to https pkglint --only "https instead of http" -r -F With manual adjustments afterwards since pkglint 19.4.4 fixed a few indentations in unrelated lines. This mainly affects projects hosted at SourceForce, as well as freedesktop.org, CTAN and GNU. @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.7 2019/06/15 07:21:21 adam Exp $ d3 1 a3 1 DISTNAME= lmfit-0.9.13 d13 3 a15 3 DEPENDS+= ${PYPKGPREFIX}-asteval>=0.9.12:../../math/py-asteval DEPENDS+= ${PYPKGPREFIX}-numpy>=1.10:../../math/py-numpy DEPENDS+= ${PYPKGPREFIX}-scipy>=0.19:../../math/py-scipy d17 1 a17 1 DEPENDS+= ${PYPKGPREFIX}-uncertainties>=3.0:../../math/py-uncertainties d21 1 a21 1 PYTHON_VERSIONS_INCOMPATIBLE= 27 # py-scipy @ 1.7 log @py-lmfit: updated to 0.9.13 Version 0.9.13 Release Notes New features: Clearer warning message in fit reports when uncertainties should but cannot be estimated, including guesses of which Parameters to examine SplitLorenztianModel and split_lorentzian function HTML representations for Parameter, MinimizerResult, and Model so that they can be printed better with Jupyter support parallelization for differential evolution Bug fixes: delay import of matplotlib (and so, the selection of its backend) as late as possible fix for saving, loading, and reloading ModelResults fix to leastsq to report the best-fit values, not the values tried last fix synchronization of all parameter values on Model.guess() improve deprecation warnings for outdated nan_policy keywords fix for edge case in gformat() Project managements: using pre-commit framework to improve and enforce coding style added code coverage report to github main page updated docs, github templates, added several tests. dropped support and testing for Python 3.4. @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.6 2018/12/03 20:41:44 adam Exp $ d9 1 a9 1 HOMEPAGE= http://lmfit.github.io/lmfit-py/ @ 1.6 log @py-lmfit: updated to 0.9.12 Version 0.9.12 Release Notes New features: - SkewedVoigtModel was added as built-in model - Parameter uncertainties and correlations are reported for least_squares - Plotting of complex-valued models is now handled in ModelResult class - A model's independent variable is allowed to be an object - Added usersyms to Parameters() initialization to make it easier to add custom functions and symbols - the numdifftools package can be used to calculate parameter uncertainties and correlations for all solvers that do not natively support this - emcee can now be used as method keyword-argument to Minimizer.minimize and minimize function, which allows for using emcee in the Model class (Bug)fixes: - asteval errors are now flushed after raising - max_time and evaluation time for ExpressionModel increased to 1 hour - loading a saved ModelResult now restores all attributes - development versions of scipy and emcee are now supported - ModelResult.eval() do no longer overwrite the userkws dictionary - running the test suite requires pytest only - improved FWHM calculation for VoigtModel @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.5 2018/07/13 06:22:35 adam Exp $ d3 1 a3 1 DISTNAME= lmfit-0.9.12 d15 1 a15 1 DEPENDS+= ${PYPKGPREFIX}-scipy>=0.17:../../math/py-scipy d17 1 d21 2 @ 1.5 log @py-lmfit: updated to 0.9.11 0.9.11: make exception explicit 0.9.10: add AMPGO and basin-hopping global optimization methods. aborting a fit from the objective function now raises AbortFitException fit statistics are more uniformly calculated. the uncertainties package is now an external dependency, and an out-dated copy is no longer kept in lmfit. more exceptions when import matplotlib are now tolerated. many documentation fixes. @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.4 2018/04/14 05:32:22 adam Exp $ d3 1 a3 1 DISTNAME= lmfit-0.9.11 @ 1.4 log @py-lmfit: updated to 0.9.9 Version 0.9.9: Lmfit now uses the asteval (https://github.com/newville/asteval) package instead of distributing its own copy. The minimum required asteval version is 0.9.12, which is available on PyPi. If you see import errors related to asteval, please make sure that you actually have the latest version installed. @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.3 2018/02/27 06:40:07 adam Exp $ d3 1 a3 1 DISTNAME= lmfit-0.9.9 @ 1.3 log @py-lmfit: updated to 0.9.8 0.9.8: update doc for 5 digit-precision fit statistics increase default precision for chi-square, etc from 3 to 5 @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.2 2017/08/31 08:27:42 prlw1 Exp $ d3 1 a3 1 DISTNAME= lmfit-0.9.8 d13 4 a16 3 DEPENDS+= ${PYPKGPREFIX}-numpy-[0-9]*:../../math/py-numpy DEPENDS+= ${PYPKGPREFIX}-scipy-[0-9]*:../../math/py-scipy DEPENDS+= ${PYPKGPREFIX}-six-[0-9]*:../../lang/py-six @ 1.2 log @Update py-lmfit to 0.9.7 Changes to 0.9.7 not immediately obvious Version 0.9.6 Release Notes Support for SciPy 0.14 has been dropped: SciPy 0.15 is now required. This is especially important for lmfit maintenance, as it means we can now rely on SciPy having code for differential evolution and do not need to keep a local copy. A brute force method was added, which can be used either with Minimizer.brute() or using the method='brute' option to Minimizer.minimize(). This method requires finite bounds on all varying parameters, or that parameters have a finite brute_step attribute set to specify the step size. Custom cost functions can now be used for the scalar minimizers using the reduce_fcn option. Many improvements to documentation and docstrings in the code were made. As part of that effort, all API documentation in this main Sphinx documentation now derives from the docstrings. Uncertainties in the resulting best-fit for a model can now be calculated from the uncertainties in the model parameters. Parameters have two new attributes: brute_step, to specify the step size when using the brute method, and user_data, which is unused but can be used to hold additional information the user may desire. This will be preserved on copy and pickling. @ text @d1 1 a1 1 # $NetBSD: Makefile,v 1.1 2016/09/16 15:20:31 prlw1 Exp $ d3 1 a3 1 DISTNAME= lmfit-0.9.7 d5 1 a5 1 CATEGORIES= math d13 4 a18 2 DEPENDS+= ${PYPKGPREFIX}-scipy>=0.19:../../math/py-scipy @ 1.1 log @Add py-lmfit 0.9.5 A library for least-squares minimization and data fitting in Python, based on scipy.optimize. @ text @d1 1 a1 1 # $NetBSD$ d3 1 a3 1 DISTNAME= lmfit-0.9.5 d9 1 a9 1 HOMEPAGE= https://pypi.python.org/pypi/lmfit/ d15 1 a15 1 DEPENDS+= ${PYPKGPREFIX}-scipy-[0-9]*:../../math/py-scipy @