Add Pyodide implementation

[veehz]

No description provided.

[gemini-code-assist]

Summary of Changes

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This pull request introduces Pyodide, a Python distribution for the browser, to enable the execution of Python code directly within the application. A significant part of this integration involves creating a robust bridge between Python and a JavaScript-based PyTorch implementation, allowing users to write PyTorch-compatible Python code that leverages the underlying JavaScript library. This expands the platform's capabilities to support Python-based machine learning and data science workflows directly in the browser.

Highlights

• Pyodide Integration: Integrated Pyodide to enable in-browser Python execution, expanding the platform's capabilities for Python-based workflows.
• PyTorch-Python Bridge: Developed a comprehensive Python-JavaScript bridge (bridge.py) that mirrors the PyTorch API, allowing Python code to interact with an underlying JavaScript PyTorch implementation.
• Smart Import Handling: Implemented an importAnalyzer to intelligently detect and rewrite PyTorch imports in Python code, ensuring seamless integration with the bridged PyTorch library.
• Build and Test Configuration Updates: Updated build (Rollup) and test (Jest) configurations to properly handle Python files and the new Pyodide setup, including a custom transformer for .py files.

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[gemini-code-assist]

Code Review

This pull request integrates Pyodide to enable running Python code, specifically PyTorch, within the JavaScript environment. Key changes include adding pyodide and torch dependencies, configuring Rollup and Jest for Python file handling, and introducing a PyodideEvaluator to manage Pyodide execution. A Python bridge (bridge.py) is implemented to provide a PyTorch-compatible API over a JavaScript torch library, along with an importAnalyzer to rewrite torch imports and identify other modules for micropip installation. Review comments highlight a concern regarding the torch dependency being pulled from a custom, potentially unstable URL, recommending the use of officially published versions. A functional limitation in torch.cat is noted, as it currently only supports dim=0, suggesting either broader compatibility or clear documentation. Finally, the use of a dummy statement (_ = 0\n) in importAnalyzer.ts to satisfy the py-slang grammar is identified as a workaround that relies on internal parser details, with a recommendation for a more robust parsing solution.

[gemini-code-assist]

The torch dependency is being pulled from a custom URL (https://pkg.pr.new/veehz/torch@297abf6). Relying on a specific, potentially temporary, branch or fork for a dependency can lead to instability, lack of updates, and security concerns. It's generally recommended to use officially published versions from a package registry (e.g., npm) or a stable, versioned release.

[martin-henz]

Fixes #11