---
- branch: MAIN
  date: Thu Aug 31 08:27:42 UTC 2017
  files:
  - new: '1.2'
    old: '1.1'
    path: pkgsrc/math/py-lmfit/Makefile
    pathrev: pkgsrc/math/py-lmfit/Makefile@1.2
    type: modified
  - new: '1.2'
    old: '1.1'
    path: pkgsrc/math/py-lmfit/PLIST
    pathrev: pkgsrc/math/py-lmfit/PLIST@1.2
    type: modified
  - new: '1.2'
    old: '1.1'
    path: pkgsrc/math/py-lmfit/distinfo
    pathrev: pkgsrc/math/py-lmfit/distinfo@1.2
    type: modified
  id: 20170831T082742Z.314f66c0c97d2c377cd892aa16840e648366282c
  log: |
    Update py-lmfit to 0.9.7

    Changes to 0.9.7 not immediately obvious

    Version 0.9.6 Release Notes

       Support for SciPy 0.14 has been dropped: SciPy 0.15 is now required.
       This is especially important for lmfit maintenance, as it means we can
       now rely on SciPy having code for differential evolution and do not
       need to keep a local copy.

       A brute force method was added, which can be used either with
       Minimizer.brute() or using the method='brute' option to
       Minimizer.minimize(). This method requires finite bounds on all varying
       parameters, or that parameters have a finite brute_step attribute set
       to specify the step size.

       Custom cost functions can now be used for the scalar minimizers using
       the reduce_fcn option.

       Many improvements to documentation and docstrings in the code were
       made. As part of that effort, all API documentation in this main Sphinx
       documentation now derives from the docstrings.
       Uncertainties in the resulting best-fit for a model can now be
       calculated from the uncertainties in the model parameters.

       Parameters have two new attributes: brute_step, to specify the step
       size when using the brute method, and user_data, which is unused but
       can be used to hold additional information the user may desire. This
       will be preserved on copy and pickling.
  module: pkgsrc
  subject: 'CVS commit: pkgsrc/math/py-lmfit'
  unixtime: '1504168062'
  user: prlw1