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Improved logic for determining the type of data for spectral blocks. I have sufficient data to verify that the spectral type codes repeat for 2-channel, 3-channel and 4-channel measurements. This implies there are 32 unique spectral type codes. Now, multi-channel spectral types will automatically be labeled as such (previously, each unique combination of spectral type and number of channels were added manually).
Added label and data key for "Match" spectral data type (type code:22)
Now correctly parses data series that have some skipped spectra during acquisition (e.g. take 10 measurements, skip 5, take 10 measurements). These files are now successfully parsed (previously caused a parsing error and were not accessible). The store_table attribute in the DataSeries object can be used to determine the saved spectra indices (list of start, stop tuples). For example, the above example would return: [(1, 10), (16, 25)]