wkearn / adcpdataprocessing.jl Goto Github PK
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I think we can load data from HDF5, but we also should be able to parse metadata out of those files. This might require some thinking as to how to best avoid opening and closing the HDF5 file a lot. But that should be benchmarked -- it may not be a huge problem given the sizes of our current HDF5 files.
From the Travis build log
ERROR: LoadError: KeyError: key "quantities" not found
Stacktrace:
[1] getindex(::Dict{String,Any}, ::String) at ./dict.jl:474
[2] parse_cals(::ADCPDataProcessing.Creek{:sweeney}, ::String, ::String) at /home/travis/.julia/v0.6/ADCPDataProcessing/src/calibrations.jl:40
[3] parse_cals(::ADCPDataProcessing.Creek{:sweeney}) at /home/travis/.julia/v0.6/ADCPDataProcessing/src/calibrations.jl:30
[4] include_from_node1(::String) at ./loading.jl:569
[5] include(::String) at ./sysimg.jl:14
[6] process_options(::Base.JLOptions) at ./client.jl:305
[7] _start() at ./client.jl:371
while loading /home/travis/.julia/v0.6/ADCPDataProcessing/test/runtests.jl, in expression starting on line 16
We currently hash(dep)
to get a unique id which we use for the directory name in which we store ADCP data. The default implementation of hash
doesn't seem to give a consistent hash across different operating systems. We should look at a better hash function.
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