Fix sparsing from eiger stream files #709
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Unfortunately, since h5py 3 came out, it no longer automatically converts string types to strings, and we have to do it manually. We need to use the `h5py_read_string()` compatibility function to do so. Signed-off-by: Patrick Avery <[email protected]>
Calling `tolist()` on these types of arrays yields a single number rather than a list. This would cause errors with the yaml dumper since it was expected a list. Instead, we should just follow the route for single numbers and call `.item()` instead. This fixes the issue. Signed-off-by: Patrick Avery <[email protected]>
Because the numpy frame-cache format does not yet support nested metadata structures, we cannot save nested metadata as a frame-cache without causing errors. We have some potential solutions to support nested metadata on the horizon. Until that time, let's store the eiger stream metadata as a yaml string, so that sparse arrays can actually be created from it. The metadata is still present, it is just in the form of a yaml string. Signed-off-by: Patrick Avery <[email protected]>
Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## master #709 +/- ##
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- Coverage 33.49% 33.49% -0.01%
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Files 129 129
Lines 21237 21242 +5
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+ Hits 7113 7114 +1
- Misses 14124 14128 +4 ☔ View full report in Codecov by Sentry. |
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This fixes a few issues with creating sparse frame-cache arrays from eiger-stream-v1 files:
NumpyToNativeDumper