Fast mseed metadata #45
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We discovered that WFCatalogCollector.py is very slow and memory inefficient for large files containing data with high sampling rates. Using a memory profiler, I narrowed it down to metadata = MSEEDMetadata(...) and from there to
self.meta['sample_rms'] = \ np.sqrt(sum((tr.data.astype(object) ** 2).sum() for tr in self.data) / npts)in obspy/signal/quality_control.py
The proposed code introduces a new subclass FastMSEEDMetadata which replaces obspy.signal.MSEEDMetadata. It replaces the method identified as problematic with verctorised numpy code which should yield the exact same values within numerical error.