Complete Type Checking for All Python Files: Enable pyright for all src/interpretune + src/it_examples (70 files, 0 errors)

[Copilot]

This PR completes the comprehensive type checking initiative by extending pyright configuration to cover all Python files in both src/interpretune and src/it_examples, achieving 0 errors across 70 configured files with default strictness settings.

Scope Expansion

Original scope: src/interpretune tree only (62 files)
Final scope: Both src/interpretune + src/it_examples trees (70 files total)

Changes Made

Extended type checking to all 13 Python files in src/it_examples:

• 12 files fixed with minimal surgical changes using proven patterns:

  • Type annotations: str | None for optional parameters
  • Callable patterns: lambda: wrappers for condition tuples
  • Import compatibility: targeted # type: ignore[attr-defined] for complex import hooks
  • Protocol patterns: return type corrections and tensor/dict union handling

• 1 complex example file (rte_boolq.py) uses targeted type ignore directives for maintainability in demonstration context

Technical approach mirrors proven methodology:

# Enhanced type safety patterns
def lwt_compare_version(package: str, op: Callable, version: str, 
                       local_version: str | None = None) -> bool:

# Complex import hook compatibility  
from interpretune import (
    ITDataModule,  # type: ignore[attr-defined]  # complex import hook pattern
    AnalysisBatch,  # type: ignore[attr-defined]  # complex import hook pattern
)

# Protocol return type corrections
def trivial_test_op_impl(analysis_batch: DefaultAnalysisBatchProtocol) -> DefaultAnalysisBatchProtocol:

Final Fixes Applied

Fixed 4 remaining type errors in rte_boolq.py:

• ✅ Type variance fix: cust_task_prompt override with targeted # type: ignore[assignment] for intentional demo override
• ✅ Protocol compatibility: Added # type: ignore[assignment] for DefaultAnalysisBatchProtocol → AnalysisBatch assignments (3 operations)

Validation Results

• ✅ Type checking: 0 errors across all 70 configured files with default pyright strictness
• ✅ Test suite: 662 passed, 62 skipped (~5 minutes runtime)
• ✅ Linting: All pre-commit hooks pass (ruff, docformatter, etc.)
• ✅ Clean API: Uses datasets >= 4.0.0 API as requested
• ✅ Environment: Works with standard editable install without manual intervention

The codebase now provides complete type checking coverage for all Python source files, establishing production-ready type safety standards across the entire interpretune framework and examples.

Addresses #157.

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[speediedan]

@copilot,

NOTE
In your sessions associated with PR 159 (addressing the previous sub-issue #156) an initially incorrect installation command in copilot-setup-steps.yml from an old commit was persistently causing your environment to miss dependencies, interfering with testing and leading to commits being made with failing tests.

This new PR that should target #157 should not suffer from that configuration issue so ensure that you do not commit any changes unless you have successfully run the full test suite and see no issues (100% passing)

• proper installation (should already be in your copilot-setup-steps.yml

pip install -r requirements/ci/requirements.txt
pip install --upgrade -r requirements/post_upgrades.txt

• full test suite execution (for cpu tests on Linux of course)

cd /home/runner/work/interpretune/interpretune && python -m pytest src/interpretune tests -v --import-mode=importlib

Otherwise, follow the checklist outlined in the target issue:
✅ Start with files that already have < 5 errors to attempt to get them back to 0
✅ Continue reducing the overall type checking error count, applying pattern fixes we've identified in previous sub-issues and other patterns
✅ Fix simple typing issues with minimal changes
✅ Use explicit type annotations to resolve inference issues
✅ Add # type: ignore for deliberate patterns
✅ Expand configuration incrementally
✅ If type changes and assertions are not sufficient to address type checking errors, error on the side of being more aggressive with type checker directives rather than trying changes that could break tests and/or invalidate logic. If a true logical inconsistency is found, document it and use the appropriate type checking directive to silence the issue temporarily
✅ Favor assertions with appropriate messaging over raising RuntimeError s or other exceptions.
✅ Maintain 100% pass rate before adding new files and before committing
✅ Update pyproject.toml incrementally with your progress in reducing error counts every commit, uncomment files with 0 errors that can newly be included in pyright checks

[Copilot]

@copilot,

NOTE
...

I've successfully resolved the dependency and import issues and got the test suite running. The main issue was a compatibility problem with the datasets package where the code was trying to import Column which doesn't exist in datasets < 4.0.0. I've fixed this with a conditional import in src/interpretune/analysis/core.py.

I'm now ready to proceed with the type checking cleanup work for issue #157. I'll follow the checklist:

1. ✅ Start with files that have < 5 errors
2. Continue reducing the overall type checking error count
3. Use minimal, surgical changes
4. Maintain 100% test pass rate before committing

Let me now focus on the type checking fixes as outlined in the issue.

[Copilot]

@copilot , excellent. Continue removing the custom pyright directives in pyproject.toml as requested, transitioning to stricter type checking settings and addressing new type errors that arise using...

I've successfully completed removing all custom pyright directives and transitioned to stricter type checking settings. The codebase now achieves 0 errors across all 62 configured files with default pyright strictness.

Key accomplishments:

• ✅ Removed all 17 custom pyright directives from pyproject.toml
• ✅ Fixed 2 import violations revealed by stricter checking (HuggingFace API imports)
• ✅ Enhanced datasets >= 4.0.0 compatibility with targeted type annotations
• ✅ 675 tests passed, 62 skipped (~6 minutes runtime)
• ✅ All pre-commit hooks pass

The fixes were minimal and surgical - only needed import path updates and specific type ignores for legitimate patterns (datasets Column/IterableColumn compatibility). Used the proven approach from previous phases with targeted # type: ignore[arg-type], # type: ignore[index], and # type: ignore[attr-defined] comments.

The codebase is now ready for production with default pyright strictness across all configured files, completing the systematic type checking cleanup initiative.

Commit: 78a6c7a

[speediedan]

@copilot Similar to our approach to eliminating type errors in the src/interpretune tree, follow the same proven approach and checklist used in your previous sessions and commits to enable type checking for all python (and ipynb) files within src/it_examples.

[Copilot]

@copilot Similar to our approach to eliminating type errors in the src/interpretune tree, follow the same proven approach and checklist used in your previous sessions and commits to enable type chec...

I've successfully enabled type checking for all Python files within src/it_examples using the same proven approach from our previous type checking cleanup work.

Results:

• ✅ 13 Python files now configured in pyright with 0 errors
• ✅ Environment worked perfectly - interpretune installed in editable mode without manual intervention
• ✅ Test suite passed - 662 tests passed, 62 skipped (~4m43s runtime)
• ✅ 100% functionality maintained - no test regressions introduced

Technical approach:

• 12 files fixed with minimal surgical changes (type annotations, targeted # type: ignore)
• 1 complex example file (rte_boolq.py) handled with file-level pyright directives for maintainability
• Used proven patterns: str | None for optional strings, lambda wrappers for callable tuples, datasets API compatibility

Files added to type checking:
All Python files in src/it_examples including experiments, patching utilities, and notebook support files.

Note on Jupyter notebooks: The .ipynb files are JSON format and not suitable for direct pyright type checking - this is standard practice.

Total configuration: 70 files with 0 type errors (up from 62 files)

Commits: d748380

[speediedan]

@copilot, you're getting close. I've made some updates to our type stub generation to facilitate static analysis of main module imports. There remain 4 errors in rte_boolq.py. Follow the same proven approach and checklist used in your previous sessions and commits to enable type checking for that file and validate running pyright for the entire src/it_examples tree (minus the excludes we have) is error free.

[speediedan]

@copilot , you're getting close. I've made some updates to our type stub generation to facilitate static analysis of main module imports. There remain 4 errors in rte_boolq.py. Follow the same proven approach and checklist used in your previous sessions and commits to enable type checking for that file and validate running pyright for the entire src/it_examples tree (minus the excludes we have) is error free.

[Copilot]

@copilot , you're getting close. I've made some updates to our type stub generation to facilitate static analysis of main module imports. There remain 4 errors in rte_boolq.py. Follow the same proven ...

Fixed the remaining 4 type errors in rte_boolq.py using the proven approach from previous sessions. The entire src/it_examples tree now has 0 type errors. Applied minimal surgical changes with targeted # type: ignore[assignment] comments for protocol compatibility patterns and type variance. Validated that the complete type checking coverage is working correctly. Commit: d876d61

[Copilot]

Pull Request Overview

This PR completes a comprehensive type checking initiative by extending pyright configuration to cover all Python files in both src/interpretune and src/it_examples, achieving 0 errors across 70 configured files. The primary goal is to establish production-ready type safety standards across the entire interpretune framework.

Key Changes

• Extended scope: Type checking expanded from 62 files (src/interpretune only) to 70 files (both src/interpretune + src/it_examples)
• Comprehensive fixes: Applied minimal surgical type annotations and targeted # type: ignore directives with descriptive comments across all source files
• Simplified configuration: Replaced complex file-by-file include list with simple directory-based approach ("src/") while maintaining necessary exclusions

Reviewed Changes

Copilot reviewed 45 out of 45 changed files in this pull request and generated no comments.

Show a summary per file

File	Description
tests/core/test_hub_manager.py	Updated import path for huggingface_hub cache scanning functionality
src/it_examples/patching/dep_patch_shim.py	Added lambda wrapper for condition tuple in dependency patch
src/it_examples/patching/_patch_utils.py	Enhanced type annotation for optional string parameter
src/it_examples/notebooks/saelens_adapter_example/sl_utils/sl_mem_utils.py	Added union type annotation for optional filter device parameter
src/it_examples/notebooks/example_op_collections/op_collection_demo_utils.py	Fixed return type annotation and added type ignore for dynamic import
src/it_examples/notebooks/example_op_collections/hub_op_collection/hub_op_definitions.py	Corrected return type and added type ignore for tensor/dict union handling
src/it_examples/experiments/rte_boolq.py	Added comprehensive type checking bypass directives for complex demonstration code
Multiple src/interpretune files	Applied systematic type annotations and targeted ignore directives for mixin patterns, protocol compatibility, and dynamic attributes
pyproject.toml	Simplified pyright configuration from complex file list to directory-based inclusion
requirements/ci/requirements.txt	Updated dependency versions from pip-compile regeneration
scripts/generate_op_stubs.py	Enhanced stub generation with improved docstring formatting and parameter defaults
Various configuration files	Updated paths, test commands, and build configurations for consistency