Что занимает больше места: JSON или XML
Что занимает больше места, json или xml?
Поставлю точку в этом вопросе.
Компактизированный json 😎
691 vs 1145 токенов
{"system":{"name":"python-slugify","description":"A Python library and command-line tool that creates URL-friendly 'slugs' from unicode text, with a focus on robust transliteration.","c4_level":"Context"},"users":[{"name":"Developer","description":"A software developer who uses the system either as a library in their Python code or as a command-line tool to generate slugs.","c4_level":"Context"}],"external_systems":[{"name":"text-unidecode","description":"The default external dependency used for transliterating unicode characters into ASCII equivalents.","c4_level":"Context"},{"name":"Unidecode","description":"An optional, alternative external dependency for unicode transliteration.","c4_level":"Context"}],"components":{"Slugification Engine":{"description":"The core component responsible for transforming Unicode text into a URL-friendly slug. It handles HTML entity conversion, Unicode normalization, character transliteration (via dependencies), regex-based character removal, stopword filtering, and truncation.","c4_level":"Component","implemented_by":["slugify/slugify.py"]},"Command-Line Interface":{"description":"Provides a command-line entry point for the system. It uses argparse to map command-line flags to the parameters of the 'Slugification Engine' and prints the result to standard output.","c4_level":"Component","implemented_by":["slugify/main.py"],"interacts_with":["Slugification Engine"]},"Language-Specific Mappings":{"description":"A data component that provides pre-defined character transliteration rules for specific languages (e.g., Cyrillic, German, Greek). These rules can be passed to the 'Slugification Engine' via its replacements parameter.","c4_level":"Component","implemented_by":["slugify/special.py"]},"Testing Suite":{"description":"A comprehensive test suite using Python's unittest framework, executed via GitHub Actions CI pipelines. The pipeline runs across multiple Python versions (3.7-3.12, PyPy), performs linting (flake8, pycodestyle), and reports test coverage to Coveralls. This ensures code quality, correctness, and compatibility. A local format.sh script is also provided for developer convenience.","c4_level":"Component","implemented_by":["test.py",".github/workflows/ci.yml",".github/workflows/main.yml",".github/workflows/dev.yml","format.sh"],"interacts_with":["Slugification Engine","Command-Line Interface"]},"Build and Packaging System":{"description":"Manages the project's dependencies, packaging, and distribution. It uses setup.py to define package metadata, runtime dependencies (text-unidecode), optional features (Unidecode), and the console script entry point. MANIFEST.in ensures that non-code files like README.md, LICENSE, and CHANGELOG.md are included in the final package. dev.requirements.txt specifies development dependencies, including twine for building and uploading the package to PyPI.","c4_level":"Component","implemented_by":["setup.py","MANIFEST.in","dev.requirements.txt"],"interacts_with":["Command-Line Interface","text-unidecode","Unidecode"]}}}
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