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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
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5 lines
353 B
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$NetBSD: distinfo,v 1.12 2021/11/07 11:58:47 adam Exp $
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BLAKE2s (lmfit-1.0.3.tar.gz) = af27a0fd80fb6f26ca92b13ec72f3eca1482e5591e14f4a39f3198696c112e1d
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SHA512 (lmfit-1.0.3.tar.gz) = 33febdd68104bb41ca379a8acd03a8bb985ba8785d607ab110b63bc7b3b39b9d95161a683fe015613bee6d99100ede82d1f3574515a6bfb9160300a5791fcc55
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Size (lmfit-1.0.3.tar.gz) = 292475 bytes
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