Test mth5 add phoenix

[kujaku11]

• Updated the tests to be sure to close any MTH5 files lingering around.
• Found that pandas >=1.5 produces a type error when trying to set a DataFrame element as a RunGroup. Forcing requirements to be <1.5 in the setup.py. (python 3.8)
• Running all tests with mth5 branch add_phoenix
  • All tests pass
• Found that the expected RMS for the processed data got better (update the expected values or tolerance?)

  • Computed: 2.7060984193323794

  • Expected: 2.713543

  • Difference: 0.00744458066

[codecov]

Codecov Report

Merging #222 (19bcbd1) into main (6c0c63e) will increase coverage by 0.10%.
The diff coverage is 85.45%.

@@            Coverage Diff             @@
##             main     #222      +/-   ##
==========================================
+ Coverage   77.96%   78.07%   +0.10%     
==========================================
  Files         101      101              
  Lines        5374     5442      +68     
==========================================
+ Hits         4190     4249      +59     
- Misses       1184     1193       +9     

Impacted Files	Coverage Δ
aurora/time_series/frequency_band.py	68.57% <ø> (-0.45%)	⬇️
setup.py	0.00% <ø> (ø)
aurora/test_utils/synthetic/rms_helpers.py	72.54% <30.00%> (-27.46%)	⬇️
aurora/test_utils/synthetic/make_mth5_from_asc.py	83.01% <90.90%> (ø)
tests/parkfield/test_process_parkfield_run_rr.py	94.44% <90.90%> (+11.83%)	⬆️
aurora/pipelines/process_mth5.py	98.08% <100.00%> (+0.15%)	⬆️
aurora/pipelines/time_series_helpers.py	86.88% <100.00%> (+0.44%)	⬆️
tests/parkfield/make_parkfield_mth5.py	89.28% <100.00%> (+1.28%)	⬆️
tests/parkfield/test_calibrate_parkfield.py	93.93% <100.00%> (+0.83%)	⬆️
tests/parkfield/test_process_parkfield_run.py	95.83% <100.00%> (+0.48%)	⬆️
... and 7 more

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