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Shim class for loading G3SuperTimestream objects from disk (#192)
This PR is the first step in integrating the G3SuperTimestream class used by the Simons Observatory team into the core library. This class is a very thin wrapper around the core G3TimestreamMap class. It is designed only to load G3SuperTimestream objects from G3 files on disk for immediate conversion to G3TimestreamMap objects. It is also not exposed to the public or python API.
Detector names maintain their ordering from file. Missing samples are gap-filled with zeros (integer data) or nans (float data). For integer data, missing samples are also marked with an extra `"_nanmask"` detector in the data, wherein 1=missing sample, 0=good data. Data are decompressed immediately on read, using openmp for effiicency.
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