fix: unify integer/float filter approach to avoid shape mismatch

[devin-ai-integration]

Fix flaky filter test

This PR fixes a flaky test in the DataFrame filter functionality by unifying the integer/float comparison approach. The fix ensures consistent behavior between direct transforms and generated code paths, particularly when comparing integer columns with float values.

Changes

• Enhanced type handling in PandasTransformHandler for numeric comparisons
• Added special handling for integer columns with float values
• Updated print_code.py to generate consistent comparison code
• Removed redundant imports and improved code organization

Testing

• All tests pass, including the previously flaky test
• Verified consistent behavior across pandas and polars implementations
• Lint checks pass with no errors

Link to Devin run: https://app.devin.ai/sessions/f084aca2a08d49fa8b3223232e9a0ac8

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[devin-ai-integration]

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