[ENH] Add numpy array validator and fix type annotations

[Leguark]

Improved JSON Serialization and Validation for Numpy Arrays

This PR adds proper JSON serialization support for numpy arrays in the Transform class by using Pydantic's Annotated type with a custom validator. The changes include:

• Added a new encoders module with a converters.py file containing a numpy array validator
• Updated the Transform class to use the new validator for position, rotation, and scale properties
• Fixed the kernel_function field validator to properly handle JSON schema input
• Updated floating point values in interpolation_options.py to use explicit decimal notation

These changes improve the serialization/deserialization process, particularly when working with JSON data.

[Leguark]

• [ENH] Add numpy array validator and fix type annotations #13 👈 (View in Graphite)
• [ENH] Convert InterpolationOptions to Pydantic model #12
• main

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[Leguark]

Merge activity

• May 14, 7:26 AM EDT: A user started a stack merge that includes this pull request via Graphite.
• May 14, 7:27 AM EDT: Graphite rebased this pull request as part of a merge.
• May 14, 7:32 AM EDT: @Leguark merged this pull request with Graphite.