Assume gamma = 2-theta for 'nb' zebra mode
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@ -174,6 +174,10 @@ def parse_1D(fileobj, data_type):
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scan.append({**metadata, **s})
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elif data_type == ".dat":
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# TODO: this might need to be adapted in the future, when "gamma" will be added to dat files
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if metadata["zebra_mode"] == "nb":
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metadata["gamma"] = metadata["twotheta"]
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s = defaultdict(list)
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match = re.search('Scanning Variables: (.*), Steps: (.*)', next(fileobj))
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