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* Increase version number and update changelog (JeschkeLab#455) * Bugfixes 4th sep (JeschkeLab#460) * Fix normalisation in rice model Closes JeschkeLab#459 * Remove three spin anaysis Closes JeschkeLab#427 * Improved installation instructions * Caution about difference in definition of cost function Closes JeschkeLab#450 * Bump Version * Bug for non linearly constrained problems When a problem is not linearly constrained and not non-negative, the linear solver outputs a result class not the solution. * Keeping changelog up-to date * Fixing Sophgrid bug (JeschkeLab#464) * Fixing Sophgrid bug * Add unit test for sophgrid * Update changelog.rst for new release (JeschkeLab#466)
* Fixing Sophgrid bug * Add unit test for sophgrid * Minor doc update * Bump version Number * Remove unnecessary doc files * Update changelog
* Seperate Kinterpolator into its own function Interpolation in Scipy is very slow, currently the same interpolation is being rerun for every calculation of the dipolarkernal. This is now cached to speed it up. * Only run orientation selection on grid and integral based kernals This hunk of code is not needed when fresnel integrals are used so does not need to be evaluated * Update changelog
* Update for 3.12 * Updated workflows and changelog * Upload to 3.12
* Update for 3.12 * Updated workflows and changelog * Upload to 3.12 * Numpy 2.0 compatibility updates * Update Changelog
* Update for 3.12 * Updated workflows and changelog * Upload to 3.12 * Fix bug in regparam grid search Regparam would never build the grid correctly. Now using grid or Brent is automatically determined from number of elements in the regparamrange. * Add extra error messages * Update changelog * Updated Example * Updated test The test has been updated. The previous convergence criteria was unreliable and only worked based on a coincidence. * Prepare For Release * Remove duplicate python version
stestoll
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HKaras
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* Remove 3.8 Require Numpy 2.0 Co-authored-by: Stefan Stoll <stestoll@users.noreply.github.com>
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Numpy 2.0 is not compatible with Python 3.8 which is EOL in November. I suggest we now require Python > 3.9 and Numpy >2.0.