- Added functionality for row-wise mode calculation (axis=1) to support the Dask DataFrame API.
- The new implementation dynamically handles row-wise mode and ensures consistent metadata handling across partitions.
- Added validation for the axis parameter, with appropriate error handling for unsupported values.
- Ensured compatibility with existing column-wise (axis=0) mode functionality, preserving the original behavior for that case.

Resolves dask-expr issue dask#1136.

Formatted _collection.py with Black

Simplified the logic for row-wise mode computation (axis=1) to dynamically handle multiple modes per row. Refactored metadata handling to ensure the number of columns is consistent across partitions, avoiding mismatches in column count. This addresses issues with inconsistent column numbers between computed data and metadata in Dask, and addresses dev team feedback.

My bad. Git desktop added my venv to the last push but I didn't see it.

Modified row-wise mode implementation to rely entirely on self._meta_nonempty for metadata generation, as per developer feedback. Ensured complete removal of explicit typecasting and ensured consistent column handling between computed data and metadata.

Made linting changes, specifically for black.