Scaling leads to non-matching indices in Simulate_experimental_data.py

nelse003 / exhaustive_search

Testing exhaustive search algorithms for crystallographic occupancy refinement and surrounding problems

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Scaling leads to non-matching indices in Simulate_experimental_data.py #40

Closed nelse003 closed 6 years ago

nelse003 commented 6 years ago

Removing this allows the code to run, this is because the scaling step means that the number of indices in the mock model are not equivalent to those in the new model.

f_model_object.update_all_scales(log=log)

How to include this scaling?

Is this scaling necessary to create good mock data?

nelse003 commented 6 years ago

Fixed