Fixing size parameter handling in len-mechanism to handle function parameters with different size parameters

[batzuu]

• This contribution adheres to CONTRIBUTING.md.
• I've updated CHANGELOG.md if applicable.
• I've added tests applicable for this pull request

What does this Pull Request accomplish?

Fixes the codegen to properly handle functions with multiple array parameters that reference different size parameters:

• Updates metadata_filters.py: Refactors the filter_parameters function to collect all size parameter names referenced by len-sized parameters into a len_size_parameter_names, replacing the previous single len_size_parameter approach. Removed assert to check if all size parameters are same from filter_len_parameters. Following this updated var names in default_method.py.mako and initialization_method.py.mako to reflect multiple possible size params.

• Updates to nifake to enable testing: Details covered in testing section

Previously, it was assumed all len-mechanism arrays in a function shared the same size parameter. This change enables functions like CreateDeembeddingSparameterTableArray in NI-RFSG where frequencies uses frequenciesSize and sparameterTable uses sparameterTableSize.

List issues fixed by this Pull Request below, if any.

Issue 2137: Fix size parameter handling for functions with parameters referencing multiple size parameters.
Additional PR needs to be raised to update NI-RFSG function metadata (CreateDeembeddingSparameterTableArray) to consume
these changes.

What testing has been done?

• Added MultipleArraysDifferentSize function to nifake metadata with two arrays (valuesArray using valuesArraySize, and dataArray using dataArraySize) to test the change in filter param logic
• Added unit test test_multiple_arrays_different_size in test_library_interpreter.py that verifies correct handling of multiple arrays with independent size parameters
• Test validates that each array's length is properly calculated and passed with its corresponding size parameter (3 elements for valuesArray with valuesArraySize, and 5 elements for dataArray with dataArraySize)
• All existing tests continue to pass.

[codecov-commenter]

Codecov Report

❌ Patch coverage is 60.00000% with 2 lines in your changes missing coverage. Please review.
✅ Project coverage is 81.21%. Comparing base (7712396) to head (2700665).

Files with missing lines	Patch %	Lines
generated/nifake/nifake/_grpc_stub_interpreter.py	50.00%	1 Missing ⚠️
generated/nifake/nifake/session.py	66.66%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##           master    #2138      +/-   ##
==========================================
- Coverage   81.72%   81.21%   -0.51%     
==========================================
  Files          29       53      +24     
  Lines        4115    14981   +10866     
==========================================
+ Hits         3363    12167    +8804     
- Misses        752     2814    +2062     

Flag	Coverage Δ
codegenunittests	?
nidcpowersystemtests	85.50% <ø> (?)
nidcpowerunittests	89.53% <ø> (ø)
nidigitalunittests	68.44% <ø> (ø)
nidmmsystemtests	81.65% <ø> (?)
nifakeunittests	85.41% <60.00%> (-0.11%)	⬇️
nifgensystemtests	85.11% <ø> (?)
nimodinstsystemtests	73.85% <ø> (?)
nimodinstunittests	94.20% <ø> (ø)
nirfsgsystemtests	73.95% <ø> (?)
niscopesystemtests	84.94% <ø> (?)
niscopeunittests	43.20% <ø> (ø)
niswitchsystemtests	71.26% <ø> (?)
nitclksystemtests	94.87% <ø> (?)
nitclkunittests	98.26% <ø> (ø)

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

Files with missing lines	Coverage Δ
generated/nifake/nifake/_grpc_stub_interpreter.py	82.80% <50.00%> (-0.27%)	⬇️
generated/nifake/nifake/session.py	77.43% <66.66%> (-0.07%)	⬇️

... and 45 files with indirect coverage changes

---

Continue to review full report in Codecov by Sentry.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update 7712396...2700665. Read the comment docs.

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.