[ENH] Added metadata Testing for models and data modules for ptf-v2

[ParamThakkar123]

Reference Issues/PRs

What does this implement/fix? Explain your changes.

This Pull request adds metadata testing for models and data modules for ptf-v2. I have added ConfigBase for the EncoderDecoderTimeSeriesDataModule and the TslibDataModule. Added new classes specific to each of data modules like for models using EncoderDecoderTimeSeriesDataModule I added EncoderDecoderConfigBase and for TslibDataModule I added TslibConfigBase

What should a reviewer concentrate their feedback on?

Did you add any tests for the change?

Yes, All tests passes locally

Any other comments?

PR checklist

• The PR title starts with either [ENH], [MNT], [DOC], or [BUG]. [BUG] - bugfix, [MNT] - CI, test framework, [ENH] - adding or improving code, [DOC] - writing or improving documentation or docstrings.
• Added/modified tests
• Used pre-commit hooks when committing to ensure that code is compliant with hooks. Install hooks with pre-commit install.
  To run hooks independent of commit, execute pre-commit run --all-files

[codecov]

Codecov Report

❌ Patch coverage is 59.64912% with 23 lines in your changes missing coverage. Please review.
⚠️ Please upload report for BASE (main@a3bc452). Learn more about missing BASE report.

Files with missing lines	Patch %	Lines
pytorch_forecasting/models/base/_base_object.py	19.04%	17 Missing ⚠️
...orch_forecasting/models/dlinear/_dlinear_pkg_v2.py	80.00%	1 Missing ⚠️
..._forecasting/models/samformer/_samformer_v2_pkg.py	80.00%	1 Missing ⚠️
.../models/temporal_fusion_transformer/_tft_pkg_v2.py	80.00%	1 Missing ⚠️
...recasting/models/tide/_tide_dsipts/_tide_v2_pkg.py	80.00%	1 Missing ⚠️
...orch_forecasting/models/timexer/_timexer_pkg_v2.py	80.00%	1 Missing ⚠️
...ytorch_forecasting/tests/test_all_estimators_v2.py	90.90%	1 Missing ⚠️

Additional details and impacted files

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  Coverage        ?   87.04%           
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  Files           ?      158           
  Lines           ?     9354           
  Branches        ?        0           
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  Hits            ?     8142           
  Misses          ?     1212           
  Partials        ?        0           

Flag	Coverage Δ
cpu	87.04% <59.64%> (?)
pytest	87.04% <59.64%> (?)

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[fkiraly]

Thanks, interesting idea!

I am a bit confused about the logic here. I assume that you intend the new test test_d2_metadata to retrieve the new classes that you added, but this will not happen? Since the object_pkg variable will be, for instance, TimeXer_pkg_v2, but that class will never have the check method?

Design-wise, I think the best place to locate the checker method is imo not the model package class, but the D2 layer data class that produces the metadata?