e327345ad7
- Add comprehensive.e2e.test.ts: Full E2E tests covering 25+ converters - Add format-matrix.e2e.test.ts: Format conversion matrix (70,000+ combinations) - Add translation.e2e.test.ts: Multi-language translation tests (14 languages) - Add docker-e2e-tests.yml: GitHub Actions workflow for Docker E2E tests - Update run-bun-test.yml: Improved basic test workflow - Add run-e2e-tests.sh: Local test runner script - Add test scripts to package.json Tests cover: - Image formats (Inkscape, ImageMagick, Potrace, etc.) - Document formats (Pandoc, LibreOffice, Calibre) - Data formats (Dasel: JSON/YAML/TOML/XML/CSV) - Translation (PDFMathTranslate, BabelDOC) - Edge cases (Unicode, long content, special characters)
28 lines
584 B
TeX
28 lines
584 B
TeX
\documentclass{article}
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\usepackage{fontspec}
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\usepackage{xeCJK}
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\setCJKmainfont{Noto Sans CJK SC}
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\begin{document}
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\section{Introduction}
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This is a test document for translation testing.
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The quick brown fox jumps over the lazy dog.
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\section{Technical Content}
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Machine learning is a subset of artificial intelligence.
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Neural networks are inspired by the human brain.
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\subsection{Mathematical Formulas}
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$E = mc^2$
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$\int_0^\infty e^{-x^2} dx = \frac{\sqrt{\pi}}{2}$
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\section{Conclusion}
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This document is used for testing multilingual translation capabilities.
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\end{document}
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