Initial implementation of MiV HDF5-based data format

[iraikov]

This pull request contains an initial implementation of an HDF5-based data format for experimental data.
It makes the following additions:

• module miv.io.file which contains the principal read and write routines
• script scripts/convert_open_ephys.py which can convert data in OpenEphys format to MiV h5
• script examples/io/file_analysis.py which illustrates how to read data in the HDF5 format and analyze it
• tests tests/io/test_file_{read|write}.py which contain basic tests of the read/write functionality

[skim0119]

@iraikov Thank you. I'll go over the code.

[skim0119]

I'll merge it in the next version update v0.2.1.

[codecov-commenter]

Codecov Report

Base: 82.13% // Head: 76.48% // Decreases project coverage by -5.64% ⚠️

Coverage data is based on head (9430043) compared to base (764b691).
Patch coverage: 52.16% of modified lines in pull request are covered.

Additional details and impacted files

@@               Coverage Diff                @@
##           update-0.2.1      #90      +/-   ##
================================================
- Coverage         82.13%   76.48%   -5.65%     
================================================
  Files                40       46       +6     
  Lines              1097     1646     +549     
  Branches            117      253     +136     
================================================
+ Hits                901     1259     +358     
- Misses              174      314     +140     
- Partials             22       73      +51     

Flag	Coverage Δ
unittests	76.48% <52.16%> (-5.65%)	⬇️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
miv/io/binary.py	96.22% <ø> (-0.14%)	⬇️
miv/io/serial/__init__.py	0.00% <0.00%> (ø)
miv/io/serial/arduino.py	0.00% <0.00%> (ø)
miv/io/serial/stimjim.py	0.00% <0.00%> (ø)
miv/io/file/read.py	59.13% <59.13%> (ø)
miv/io/file/write.py	66.95% <66.95%> (ø)
miv/io/file/__init__.py	100.00% <100.00%> (ø)
miv/statistics/spiketrain_statistics.py	88.67% <100.00%> (+0.92%)	⬆️
miv/visualization/connectivity.py	97.05% <100.00%> (+66.17%)	⬆️
miv/statistics/info_theory.py	100.00% <0.00%> (+58.00%)	⬆️
... and 1 more

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[skim0119]

Thank you!