Fix/annotation quadratic performance

[mosh3eb]

Description

Optimization: Annotation and shape append performance (O(N) -> O(1)) and Base64 JSON support.

This PR significantly improves the performance of adding annotations and shapes to a figure, particularly when dealing with large numbers of elements. It also introduces a requested feature for Base64 encoding in JSON serialization.

Technical Summary:

• Performance Optimization: Refactored the list-handling logic in BaseFigure to avoid recursive, full-list validations when appending or extending annotations and layout shapes. This shifts the complexity from $O(N^2)$ for building a figure with $N$ elements to $O(N)$ (effectively $O(1)$ per operation). Fixes Adding N annotations takes O(N^2) time #5316 and Performance issue - add_vlines #4965.
• New JSON Feature: Added a base64 encoding option to plotly.io.to_json to support embedding binary data more efficiently in JSON outputs. Fixes plotly.io.to_json method does not convert large numbers correctly #5124.
• Code Integrity: Decoupled internal validation from public list mutations to ensure performance gains do not sacrifice data validation quality.
• Verification: Included a comprehensive test suite in test_annotated_shapes.py that verifies both the correctness of the operations and the handling of edge cases for the new performance path.

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Code PR

• I have read through the contributing notes and understand the structure of the package.
• I have added tests or modified existing tests.
• For a new feature, I have added documentation examples.
• I have added a CHANGELOG entry if changing anything substantial.
• For a new feature or a change in behavior, I have updated the relevant docstrings in the code.