Implemented BenchmarkResult class for postprocessing

[SteSeg]

Example usage:

import openmc_fusion_benchmarks as ofb

# Extract results
results = ofb.BenchmarkResults('benchmark_results.h5')

# List tally names avaliable in the result files
print(results.tallies)

# Select a tally
tally = results.get_tally(name='tally_name')

# Manipulate (e.g. get means)
means = tally.sel(column='mean').squeeze()  # exactly like a xarray.DataArray

The object for a tally is a xarray.DataArray. So it may have several dimensions. It is possible to get the labels of the dimensions with print(tally.coords). Notable dimensions for typycal ofb tallies are column, row and realization. A slice of column and row are basically the result of an openmc.Statepoint(...).get_tally(...).get_pandas_dataframe(). So, typycal columns are classic openmc's mean, std. dev., energy low [eV] etc.
The realization dimension is populated by the uncertainty quantification - total Monte Carlo results (see PR #65).

[coveralls]

Pull Request Test Coverage Report for Build 19879742806

Details

• 0 of 0 changed or added relevant lines in 0 files are covered.
• 21 unchanged lines in 3 files lost coverage.
• Overall coverage increased (+0.4%) to 38.54%

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Files with Coverage Reduction	New Missed Lines	%
/usr/share/miniconda3/envs/test-env/lib/python3.13/site-packages/openmc_fusion_benchmarks/benchmark.py	4	29.32%
/usr/share/miniconda3/envs/test-env/lib/python3.13/site-packages/openmc_fusion_benchmarks/uq/tmc_engine.py	4	24.14%
/usr/share/miniconda3/envs/test-env/lib/python3.13/site-packages/openmc_fusion_benchmarks/utils.py	13	20.0%

Totals
Change from base Build 19517104281:	0.4%
Covered Lines:	190
Relevant Lines:	493

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💛 - Coveralls