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Update lmfit requirement from ~=1.2 to ~=1.3 #164

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merged 2 commits into from
May 6, 2024

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@dependabot dependabot bot commented on behalf of github Apr 8, 2024

Updates the requirements on lmfit to permit the latest version.

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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Updates the requirements on [lmfit](https://github.com/lmfit/lmfit-py) to permit the latest version.
- [Release notes](https://github.com/lmfit/lmfit-py/releases)
- [Changelog](https://github.com/lmfit/lmfit-py/blob/master/doc/whatsnew.rst)
- [Commits](lmfit/lmfit-py@1.2.0...1.3.0)

---
updated-dependencies:
- dependency-name: lmfit
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Apr 8, 2024
@jmbhughes jmbhughes self-assigned this Apr 17, 2024
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@dependabot rebase

@jmbhughes jmbhughes merged commit 35d9ccf into main May 6, 2024
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@dependabot dependabot bot deleted the dependabot/pip/lmfit-approx-eq-1.3 branch May 6, 2024 23:26
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