A modern approach.

[ewdlop]

No description provided.

[Copilot]

Pull request overview

This pull request adopts a modern approach to the AIMA-Python codebase by introducing comprehensive matplotlib testing infrastructure, extensive documentation in Traditional Chinese, and foundational work for future algorithm implementations. The changes focus on improving testability, expanding documentation coverage, and preparing the repository for modern AI algorithms.

Key Changes:

• Implemented a complete matplotlib mocking system with 5 fixtures for headless testing
• Added extensive Traditional Chinese documentation covering AI history, pioneers, and the Curry-Howard correspondence
• Extracted and refactored the Monte Carlo Localization map into a reusable module-level constant
• Created new testing infrastructure with 30+ test cases across multiple files

Reviewed changes

Copilot reviewed 41 out of 43 changed files in this pull request and generated 2 comments.

Show a summary per file

File	Description
tests/conftest.py	New pytest configuration with matplotlib mocking fixtures
tests/test_mock_figures.py	Basic test examples demonstrating fixture usage
tests/test_notebook_plotting.py	Integration tests for plotting functions
tests/test_logic.py	Added Proof class tests
probability.py	Extracted robotics_map as module constant
logic.py	Added Proof class for representing logical proofs
README.md	Added extensive Chinese documentation and algorithm tables
agents.ipynb	Added agent architecture documentation section
docs/*.md	Multiple new documentation files in Chinese
mcp_fastapi/*	New FastAPI/Gradio application structure

Comments suppressed due to low confidence (5)

tests/test_probability.py:1

• The test now references a module-level constant robotics_map but doesn't verify that the constant is correctly defined or has the expected structure. Consider adding an assertion to validate the map's dimensions and structure before using it in the test.
  mcp_fastapi/app/ui.py:1
• The broad exception handler catches all exceptions which can mask programming errors. Consider catching more specific exception types (e.g., ValidationError, ValueError) and allowing unexpected exceptions to propagate for proper error reporting.
  mcp_fastapi/scripts/deploy_space.py:1
• The exception handling uses a magic comment 'noqa: BLE001' without explanation. Consider catching the specific HfHubHTTPError or adding a comment explaining why a broad exception is necessary here.
  tests/test_logic.py:1
• The test function name 'test_proof' is generic. Consider a more descriptive name like 'test_proof_class_basic_functionality' or 'test_proof_completion_detection' to better indicate what aspect is being tested.
  docs/ALGORITHMS_NEXT_EDITION.md:1
• Names should maintain consistency. '根岑' (Gentzen) and '邱奇' (Church) appear to be Chinese translations but earlier in the document they are written as '格哈德·根岑' and '阿隆佐·邱奇' respectively. Use consistent naming throughout.

# 🚀 Index of Algorithms for AIMA n-th Edition (Future)

---

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

[Copilot]

Corrected text mixing: 'Expose部分' should be either fully Chinese '暴露部分' or fully English 'Expose partial'.

Suggested change

	"""Expose部分 Hugging Face 相關設定（不含密鑰）。"""
	"""暴露部分 Hugging Face 相關設定（不含密鑰）。"""

[Copilot]

The docstring mentions 'five important data types' but then lists six items (KB, KB_Agent, Expr, substitution, Proof, and implicitly mentions more in line 13). Update the count or clarify which items are the 'important' ones.

Suggested change

	Covers both Propositional and First-Order Logic. First we have five
	Covers both Propositional and First-Order Logic. First we have several