Bug fix: update infer_data_source with a tdiff tolerance, and update resample_dataframe

[emmleroy]

1. Several MOD-UFP files from the database have a dominant sampling interval of 58s or 59s, rather than 60s. This updates infer_data_source() with a 2-second tolerance around the expected dominant_tdiff values.

2. A couple old column names need to be added to COLUMN_DEFINITIONS: (opcn3_temp --> opc_temp, opcn3_rh --> opc_rh, operating_state --> dd_operating_state).

3. Bug fix: neph_bin0/opc_bin0 ratio check should occur when neph_bin0>=10, not when opc_bin0>=10 (following fw-modulair v17?)

4. Fix: some int64 columns need to be nullable (fw, dd_operating_state, dd_measurement_state) for older data that doesn't have these values; changed dtype to float64

5. Speed-up flag-aware resampling by changing to a vectorized version

6. Add a force_nonnumeric to resample_dataframe to force some columns to be non-numeric (like 'fw') regardless of dtype

7. Bump pre-release version to rc4

[codecov]

Codecov Report

❌ Patch coverage is 39.34426% with 37 lines in your changes missing coverage. Please review.
✅ Project coverage is 89.64%. Comparing base (20f6aa3) to head (82a84e8).
⚠️ Report is 2 commits behind head on master.

Files with missing lines	Patch %	Lines
quantaq_cli/toolkit/resample.py	35.08%	37 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##           master      #39      +/-   ##
==========================================
- Coverage   91.82%   89.64%   -2.19%     
==========================================
  Files          24       24              
  Lines        1260     1294      +34     
==========================================
+ Hits         1157     1160       +3     
- Misses        103      134      +31     

Flag	Coverage Δ
unittests	89.64% <39.34%> (-2.19%)	⬇️

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Files with missing lines	Coverage Δ
quantaq_cli/schema.py	93.05% <ø> (-1.39%)	⬇️
quantaq_cli/utilities.py	82.85% <100.00%> (+0.24%)	⬆️
quantaq_cli/variables.py	90.00% <ø> (ø)
quantaq_cli/toolkit/resample.py	64.60% <35.08%> (-22.90%)	⬇️

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