Issue with FNG-HCPB post-processing

[jude-moo]

The mass factor was being accounted for twice as it was contained within the scale factor also. This pull request removes the mass divisor to resolve this issue.

Summary by CodeRabbit

• Refactor
  • Streamlined tritium activity processing in benchmark configurations by removing mass transformation steps from "Tritium activity" and "Tritium activity Pellet" calculation pipelines.

[coderabbitai]

Walkthrough

Removed two mass transformation steps from YAML benchmark configuration sections. The deletions simplify data processing pipelines in the "Tritium activity" and "Tritium activity Pellet" sections while preserving all remaining actions.

Changes

Cohort / File(s)	Summary
YAML Configuration src/jade/resources/default_cfg/benchmarks_pp/raw/openmc/FNG-HCPB.yaml	Removed two [- [mass, {}]] transformation steps from the "Tritium activity" and "Tritium activity Pellet" sections.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~3 minutes

Suggested labels

bug

Suggested reviewers

• dodu94

Poem

🐰 A mass of confusion has cleared from the way,
Two lines hopped away without delay,
The YAML now lightens, the config runs clean,
The simplest fix ever the rabbits have seen! ✨

🚥 Pre-merge checks | ✅ 3

✅ Passed checks (3 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title check	✅ Passed	The title directly addresses the main issue: removing a duplicate mass transformation step in the FNG-HCPB post-processing configuration, which aligns with the PR's objective of fixing double-applied mass factors.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.

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✨ Finishing touches

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Post copyable unit tests in a comment

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[dodu94]

Thanks Jude, tests are failing due to an update of pandas to a major release (3.0).

Please do one of the following:

1. cap the pandas version to pandas<3 and open an issue, we'll deal with it in the next hackathon

or

2. fix the behaviour to be compatible with pandas 3.0 in the manipulate_tally module