Log message:
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

Log message:
math: Replace RMD160 checksums with BLAKE2s checksums

All checksums have been double-checked against existing RMD160 and
SHA512 hashes

Log message:
math: Remove SHA1 hashes for distfiles

Log message:
revert wrong fix for py-scipy python 3.6 deprecation, fix properly

Log message:
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/*

Log message:
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``.

Log message:
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.

Log message:
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.

Log message:
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

Log message:
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.