Iris-ued

Latest version: v5.3.4

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5.3.4

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* Added new Bragg peak functionality of processed datasets, as well as arbitrary mask loading and generation for pre-processing.

5.3.2

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* Fixed some issues with new versions of Python and PyQt5 (16) and other maintenance (17).

5.3.1

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* Fixed an issue where `iris` would use up all available memory for datasets with a large number of time-delays (>500)
* Releases are now automatically performed using Github Actions

5.3.0

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* Added the :meth:`DiffractionDataset.mask_apply` to modify the diffraction pattern mask.
* The center of diffraction is now calculated and updated as needed automatically.
* Better handling of write permissions.
* Added the :class:`MigrationWarning` and :class:`MigrationError` classes. Warnings/errors of these classes tell the user that migration should
be performed. This is automatically done by opening a :class:`DiffractionDataset` with writing permission. The GUI does this
automatically.
* Windows installers are now built with pynsist/NSIS instead of PyInstaller (15).
* `Support for Python 3.6 and NumPy<1.17 has been dropped <https://numpy.org/neps/nep-0029-deprecation_policy.html>`_
* Fixed an issue where creating the plug-in directory would rarely fail.

5.2.5

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* Parallel operations on datasets (via HDF5 single-writer multiple-reader) is now possible on all platforms.
* Code snippets in documentation are now tested for correctness.
* Migration of test infrastructure to pytest.
* Tests are now included in source distributions.

5.2.4

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* Added support for h5py 3.*.

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