docs: update README with Google Colab benchmark results (7x faster) #34
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- Complete project structure overview - Common commands and workflows - Release process (always use ./scripts/release.sh) - Architecture details and optimizations - Linting, testing, and CI/CD guides - Troubleshooting tips This file provides context for Claude Code to work more effectively with the project without repeating instructions.
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…start Replace python-dotenv dependency with custom-built fast_dotenv.py parser, achieving significant performance improvements while maintaining full compatibility. Performance improvements: - Cold start: 0.39ms (5.0x faster than pydantic, was 1.5x) - Warm cached: 0.012ms (267x faster than pydantic, was 112x) - Cache effectiveness: 29.7x internal speedup Key changes: - Add fast_dotenv.py (170 lines, zero dependencies) - Remove python-dotenv from dependencies - Update settings.py to use fast_dotenv - Add 59 comprehensive tests for fast_dotenv - Clean up duplicate code in settings.py - Update README with new performance numbers Technical details: - UTF-8 BOM support - Escape sequences parsing (\n, \t, etc) - Export keyword handling - Strict variable name validation (isidentifier) - Global caching for repeated loads - Optimized string operations with local references All 81 tests passing (22 settings + 59 fast_dotenv) Zero external dependencies added (removed 1)
Change chmod from 0o644 (world-readable) to 0o600 (owner-only) in test_file_permission_error cleanup to address CodeQL security warning. The permission test still passes with owner-only permissions.
- Fix import sorting and organization - Replace single quotes with double quotes for consistency - Remove trailing whitespace from blank lines - Fix quote escaping in test strings - Format long lines and dictionaries for better readability - Apply consistent formatting across test files All ruff checks now pass successfully.
- Update performance numbers with real Google Colab benchmark results - Cold start: 7.0x faster (0.353ms vs 2.47ms) - Warm cache: 169x faster (0.011ms vs 1.86ms) - Add note about benchmarking on Google Colab for reproducibility - Update key advantages table with new performance numbers - Highlight 7x faster performance and drop-in API compatibility in features - Fix 'ultra high' to 'high' for consistency
… improvements - Update performance numbers with real Google Colab benchmark results - Cold start: 7.0x faster (0.353ms vs 2.47ms) - Warm cache: 169x faster (0.011ms vs 1.86ms) - Featured highlights: Highlight for 7x superior performance and drop-in API - Include benchmark improvements and consistency fixes
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/merge |
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✅ PR merged successfully by @vilsonrodrigues! |
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Summary
Benchmark Results (Google Colab)
Cold start (first load, includes .env parsing):
Warm (cached) (repeated loads):
Changes
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