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Currently, our MATLAB asynchronous worker can interpolate all of our signal values and interpolate them. After reaching the last message in the MCAP file, an EOF signal is sent to all the workers. When the MATLAB subscriber receives that signal, it wraps up the interpolation to make sure all the data fields have the same number of elements.
Currently, once we finish populating that allSignalValue field, we don't do anything to it. We need to write a MATLAB file filled with structs of all this allSignalValue data (which means we need to reorganize the allSignalValue data into nice structs and sub-structs for the engineers). For creating a MATLAB file, we could pipe the data into a python script and use scipy to create the file, but it would be nice if we could keep everything in Go.
After creating the MATLAB file, we need to store that into the correct S3 bucket and folder on AWS. The logic for this is already implemented
The text was updated successfully, but these errors were encountered:
Currently, our MATLAB asynchronous worker can interpolate all of our signal values and interpolate them. After reaching the last message in the MCAP file, an
EOF
signal is sent to all the workers. When the MATLAB subscriber receives that signal, it wraps up the interpolation to make sure all the data fields have the same number of elements.Currently, once we finish populating that
allSignalValue
field, we don't do anything to it. We need to write a MATLAB file filled with structs of all thisallSignalValue
data (which means we need to reorganize theallSignalValue
data into nice structs and sub-structs for the engineers). For creating a MATLAB file, we could pipe the data into a python script and usescipy
to create the file, but it would be nice if we could keep everything in Go.After creating the MATLAB file, we need to store that into the correct S3 bucket and folder on AWS. The logic for this is already implemented
The text was updated successfully, but these errors were encountered: