Log Message:
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.