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compare-cpython-versions

Compare CPython source code between two Python versions to identify changes in headers and structs. Use this when adding support for a new Python version to understand what changed between versions.

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name
compare-cpython-versions
description
Compare CPython source code between two Python versions to identify changes in headers and structs. Use this when adding support for a new Python version to understand what changed between versions.
allowed-tools
["Bash","Read","Grep","WebSearch","TodoWrite"]
# Compare CPython Versions Skill This skill helps compare CPython source code between two Python versions to identify changes in headers, structs, and APIs that affect our codebase. ## When to Use This Skill Use this skill when: - Adding support for a new Python version - Need to understand what changed between versions - Investigating compatibility issues - Have a list of headers/structs from `find-cpython-usage` skill ## Key Principles 1. **Compare systematically** - Focus on headers and structs identified in Step 1 2. **Use multiple methods** - Git diff, manual diff, or AI-assisted comparison 3. **Document changes** - Note all breaking changes and API modifications 4. **Check context** - Understand why changes were made (PEPs, GitHub issues) ## How This Skill Works ### Step 1: Prepare CPython Repository ```bash # Create ~/dd directory if it doesn't exist mkdir -p ~/dd # Clone CPython repository if needed (to ~/dd/cpython) if [ ! -d ~/dd/cpython ]; then git clone https://github.com/python/cpython.git ~/dd/cpython cd ~/dd/cpython git fetch --tags else cd ~/dd/cpython # Update existing repository git fetch --tags git fetch origin fi ``` ### Step 2: Compare Specific Headers Using the list of headers from `find-cpython-usage`, compare each header between the old version and new version. Replace `OLD_VERSION` and `NEW_VERSION` with the actual version tags (e.g., `v3.13.0`, `v3.14.0`): ```bash # Compare specific headers between versions git diff OLD_VERSION NEW_VERSION -- Include/internal/pycore_frame.h git diff OLD_VERSION NEW_VERSION -- Include/frameobject.h # Compare all internal headers git diff OLD_VERSION NEW_VERSION -- 'Include/internal/pycore*.h' # Compare specific struct definitions git diff OLD_VERSION NEW_VERSION -- Include/internal/pycore_frame.h | grep -A 20 "struct _PyInterpreterFrame" ``` ### Step 3: Identify Changes For each header/struct, look for: **Struct Changes:** - Field additions - Field removals - Field type changes - Field reordering - Struct moves to different headers **API Changes:** - Removed functions/structures - New functions/structures - Changed function signatures - Deprecated APIs **Header Changes:** - Headers moved to different locations - Headers split or merged - New headers introduced ### Step 4: Analyze Impact For each change identified: 1. **Understand the change:** - Why was it changed? (Check Python's What's New, PEPs, or GitHub issues) - Is it a breaking change or backward compatible? - What's the replacement API? - **Find the specific commit(s) that introduced the change:** ```bash # Find commits that modified a specific file between versions git log OLD_VERSION..NEW_VERSION -- Include/internal/pycore_frame.h # Find commits that mention a specific struct or function git log OLD_VERSION..NEW_VERSION --all --grep="_PyInterpreterFrame" -- Include/ # Show the commit that introduced a specific change git log -p OLD_VERSION..NEW_VERSION -S "struct _PyInterpreterFrame" -- Include/ ``` - **Find related GitHub issues:** - Check commit messages for issue references (e.g., `gh-123923`, `#123923`) - Search CPython GitHub issues: `https://github.com/python/cpython/issues` - Look for "What's New" documentation: `https://docs.python.org/3/whatsnew/` - Check PEPs if the change is part of a larger feature 2. **Assess impact:** - Which files in our codebase are affected? - What functionality might break? - Are there alternative approaches? 3. **Document findings:** - Create a summary document of key changes - Note any breaking changes - List files that need updates ### Step 5: Use AI Tools (Optional) You can use AI coding assistants to help analyze differences by: - Providing header file contents from both versions - Asking about specific struct changes - Understanding migration paths ## Common Change Patterns When comparing versions, look for these types of changes (examples): **Struct Field Changes:** - Field type changes (e.g., pointer types → tagged pointer types) - Field renamed - Field removed and replaced with different mechanism - Field reordering **Header Moves:** - Internal headers moved to new locations - Structs moved between headers - Headers split or merged **API Deprecations:** - Internal functions removed - Public API replacements available - Function signature changes ## Output Format After running this skill, you should have: 1. A list of all changed headers 2. A list of all changed structs with details 3. Impact assessment for each change 4. Files in our codebase that need updates ## Related - **find-cpython-usage skill**: Use to identify what to compare
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