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Improved HDF5Logger Functionality #132

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Improved HDF5Logger Functionality #132

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Summary

This PR enhances the HDF5Logger class with key improvements for better logging performance and usability.

Changes:

  1. Data Shape Validation: Ensures incoming data matches expected shapes, preventing runtime errors.
  2. Metadata Storage: Saves session metadata (e.g., data name, actions, observations) as attributes in the HDF5 file for better context.
  3. Error Handling: Improved error handling during logging and file operations for clearer feedback.
  4. Dynamic Dataset Creation: Allows for flexible logging of various data types without hardcoded definitions.
  5. Enhanced Visualization: Offers more customization options in the visualize_h5 method.

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