The normalize() function now uses the Model-level variables for map_name, min and max vals, is_log, and data_array rather than taking arguments. This function already modifies a Model-level variable (the image_array), so this ensures consistency within the Model.
The js and python listeners for the Model variables in the colormap widget originally returned a promise from the normalizer. Now they call normalize but don't return the promise.
The
normalize()function now uses the Model-level variables for map_name, min and max vals, is_log, and data_array rather than taking arguments. This function already modifies a Model-level variable (the image_array), so this ensures consistency within the Model.The js and python listeners for the Model variables in the colormap widget originally returned a promise from the normalizer. Now they call normalize but don't return the promise.