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Description
The ESRF's @woutdenolf is currently working on PyMca and has given me a heads-up regarding changes he is implementing that will affect the Savu plugin.
His email:
Dag Tom,
Ik doe het in het Engels voor het geval je dit met je collega's moet bespreken.
I'm refactoring pymca's batch fitting for hdf5 output and this could have an effect on your Savu plugin:
https://github.com/DiamondLightSource/Savu/blob/6b12727eee4cb381204b22b07a058335e2a41411/savu/plugins/filters/pymca.pyThis is the relevant code:
b = McaAdvancedFitBatch.McaAdvancedFitBatch(...)
fit_labels = c._McaAdvancedFitBatch__images.keys()
stack = np.array(self.b._McaAdvancedFitBatch__images.values())Using the new API this would be:
b = McaAdvancedFitBatch.McaAdvancedFitBatch(...)
fit_labels = b.outbuffer.labels('parameters')
stack = b.outbuffer['parameters']Apart from 'parameters' you could have 'uncertainties', 'massfractions', 'Chisq', 'residuals' and other useful results.
I can easily add a "_McaAdvancedFitBatch__images" property to McaAdvancedFitBatch to mimic the old API with a deprecation warning.
However the current McaAdvancedFitBatch does not have a "_McaAdvancedFitBatch__images" attribute. It does have a "__images" attribute however.
Are you performing some witchcraft (e.g. monkey-patching) somewhere?Cheers,
Wout