Bump lmfit from 1.2.2 to 1.3.0

[dependabot[bot]]

Bumps lmfit from 1.2.2 to 1.3.0.

Release notes

Sourced from lmfit's releases.

1.3.0

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(). (PR #937).

• Model.eval_uncertainty now takes an optional dscale parameter (default value of 0.01) to set the step size for calculating derivatives (PR #933).

• add calculation of predicted_interval to Model.eval_uncertainty (PR #933).

Bug fixes/enhancements:

• restore best-fit parameter values for high accuracy values of constrained values (PR #907)

• 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. (PR #941)

• 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. (PR #932, PR #934)

• in the TNC method, maxfun is used instead of maxiter.

• fix bug calculating r-squared for fits with weights (PR #921, PR #923)

• fix bug in modelresult.eval_uncertainty() after load_modelresult() (PR #909)

• use StringIO for pandas.read_json.

• add test for MinimizerResult.uvars after successful fit (PR #913)

• 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 (PR #927)

• 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

... (truncated)

Changelog

Sourced from lmfit's changelog.

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(). (PR #937).

• Model.eval_uncertainty now takes an optional dscale parameter (default value of 0.01) to set the step size for calculating derivatives (PR #933).

• add calculation of predicted_interval to Model.eval_uncertainty (PR #933).

Bug fixes/enhancements:

• restore best-fit parameter values for high accuracy values of constrained values (PR #907)

• 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. (PR #941)

• 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. (PR #932, PR #934)

• in the TNC method, maxfun is used instead of maxiter.

• fix bug calculating r-squared for fits with weights (PR #921, PR #923)

• fix bug in modelresult.eval_uncertainty() after load_modelresult() (PR #909)

• use StringIO for pandas.read_json.

• add test for MinimizerResult.uvars after successful fit (PR #913)

• 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 (PR #927)

• 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

... (truncated)

Commits

• 8781a2d whatsnew for version 1.3.0
• e57aab2 BLD: update to latest SciPy version
• ea9519e MAINT: update pre-commit hooks
• 005b527 More uniform independent vars (#941)
• 588846c MAINT: update pre-commit hooks
• 57ed034 CI: update to latest NumPy version
• b1783f9 DOC: vendor latest version of layout.html from Sphinx basic theme
• 6658cc6 DOC: update confidence.rst and example
• c9c2b2d Require dill (#940)
• 6096c3a ENH: add 'min_rel_change' as variable in calculation of confidence intervals
• Additional commits viewable in compare view

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[dependabot[bot]]

Looks like lmfit is up-to-date now, so this is no longer needed.