Merge Hindi ITN v2 from staging

[mgrafu]

What does this PR do ?

New classes, class improvements

Before your PR is "Ready for review"

Pre checks:

• Have you signed your commits? Use git commit -s to sign.
• Do all unittests finish successfully before sending PR?
  1. pytest or (if your machine does not have GPU) pytest --cpu from the root folder (given you marked your test cases accordingly @pytest.mark.run_only_on('CPU')).
  2. Sparrowhawk tests bash tools/text_processing_deployment/export_grammars.sh --MODE=test ...
• If you are adding a new feature: Have you added test cases for both pytest and Sparrowhawk here.
• Have you added __init__.py for every folder and subfolder, including data folder which has .TSV files?
• Have you followed codeQL results and removed unused variables and imports (report is at the bottom of the PR in github review box) ?
• Have you added the correct license header Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved. to all newly added Python files?
• If you copied nemo_text_processing/text_normalization/en/graph_utils.py your header's second line should be Copyright 2015 and onwards Google, Inc.. See an example here.
• Remove import guards (try import: ... except: ...) if not already done.
• If you added a new language or a new feature please update the NeMo documentation (lives in different repo).
• Have you added your language support to tools/text_processing_deployment/pynini_export.py.

PR Type:

• New Feature
• Bugfix
• Documentation
• Test

If you haven't finished some of the above items you can still open "Draft" PR.

To fix the problem, the unused import statement should be removed from the file. Specifically, delete the line from nemo_text_processing.inverse_text_normalization.hi.utils import apply_fst, get_abs_path (line 19). This will clean up the code, remove unnecessary dependencies, and improve readability. No other changes are required, as the removal of this import does not affect any functionality in the file.

To fix the problem, simply remove the unused import statement from the file. Specifically, delete the line from nemo_text_processing.text_normalization.en.utils import load_labels (line 20) in nemo_text_processing/inverse_text_normalization/hi/taggers/fraction.py. No other changes are required, as this will not affect the functionality of the code.

To fix the problem, simply remove the unused import statement from the file. Specifically, delete line 26: from nemo_text_processing.inverse_text_normalization.hi.utils import apply_fst, get_abs_path. This will clean up the code, remove unnecessary dependencies, and improve readability. No other changes are required, as the imported names are not used elsewhere in the shown code.

To fix the problem, we should remove the assignment to the unused variable delete_hundred on line 55. Since the right-hand side of the assignment (pynutil.delete("सौ")) does not have side effects, it is safe to delete the entire line. No other changes are necessary, as the variable is not referenced elsewhere in the code. The fix should be made in the file nemo_text_processing/inverse_text_normalization/hi/taggers/money.py, specifically on line 55.

To fix the problem, the unused variable assignment should be removed. This means deleting the line that assigns a value to delete_hazar (line 57) in nemo_text_processing/inverse_text_normalization/hi/taggers/money.py. This change will not affect any existing functionality, as the variable is not used anywhere in the code. No additional imports, methods, or definitions are required for this fix.

To fix the problem, we should remove the unused import of DEVANAGARI_DIGIT from the import statement on line 18. This can be done by simply deleting DEVANAGARI_DIGIT, from the list of imported symbols. No other changes are necessary, as this will not affect the functionality of the code.

To fix the problem, the unused import statement should be removed from the file. Specifically, delete the line from nemo_text_processing.inverse_text_normalization.hi.utils import apply_fst (line 19). This will clean up the code, remove an unnecessary dependency, and improve readability. No other changes are required, as the rest of the code does not depend on this import.