[Bug]: non-Eureka! inputs in Stage 4 meta (data_format) is overwritten in new Eureka! version

[evamariaa]

FAQ check

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Instrument

Light curve fitting (Stages 4-6)

What happened?

Following the jupyter notebook tutorial on preparing the non-Eureka! input data for starting with Stage 4, the data_format is set to 'custom' in there. But it is later essentially overwritten when calling Stage 4 as meta = S4MetaClass(..) initialises as data_format = 'eureka' via super through MetaClass. All this is then done before it assigns non-default values as intended which then crash Stage 4.

My suggestion is that either the data_format is defined as custom in the S4 ECF file when calling non-Eureka! inputs or we change it in mergeevents such that the data_format can be overwritten with the S3 input data?

Credit to my student @StaudtPatrick for finding this bug.

Error traceback output

No response

What operating system are you using?

Linux

What version of Python are you running?

Python 3.10.14

What Python packages do you have installed?

No response

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