Introduce caching for dataframes #13
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…TypeError'-exception to catch these new upload-errors | added collapsable for list of uploaded atoms
…rature in inference script
# Conflicts: # mala_inference.py
…mala" | fixed energy-titles | plotted atoms are outlined | removed plot-choice (on a surface level)
…x/opacity bug | 'optimized' range sliders in tools slightly (except for density)
…for X-cross section
…|| disabled interactivity with orientation plot
…- needs better positioning
… the cs-boundaries
… positioning of loading Spinner is last important todo
…er minor bug fixes
…onversion to utils.py; tie up some loose ends
…to src. Clean up inference_script. Dynamic atom_limit-warning and corrected wording
prep for v0.3.0 release
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Introduces flask-caching with a FileSystem cache backend. This stores the dataframe that's underlying the scatter3d figure in a server-side cache (opposed to the previous client-/browser-cache in dcc.Store-component). Should reduce network traffic, BUT plot updates like slice_plot still transfer the complete figure (which contains the dataframe). This is a bottleneck for dataframes with like 30.000 points (=*4 entries) that could be circumvented by clientside updates of the figure (for expensive updates like this)
Other changes: