Translation Delivery

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Translation Delivery

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This pull request is for translation delivery. Please review and approve them.

[hyperspace-insights]

Summary

The following content is AI-generated and provides a summary of the pull request:

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Clean Up Translation File Comments

Changes

🧹 Chore: Removed outdated translation comment headers from the English US saptrc properties file.

Changes:

• i18n_en_US_saptrc.properties: Cleaned up file by removing text type definitions (XACT, XBUT, XCKL, etc.) and individual property comments (XTIT) that were previously used to annotate translation strings. The actual translation key-value pairs remain unchanged.

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• 🔄 Regenerate and Update Summary
• ✏️ Insert as PR Description (deletes this comment)
• 🗑️ Delete comment

PR Bot Information

Version: 1.17.5

• Correlation ID: 16e54d70-ec3a-11f0-8703-d69a020ad815
• Summary Prompt: Default Prompt
• Event Trigger: pull_request.opened
• LLM: anthropic--claude-4.5-sonnet
• Output Template: Default Template

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[hyperspace-insights]

Summary

This pull request removes comment headers from a SAP translation resource file (i18n_en_US_saptrc.properties). The change is appropriate and follows standard practices for translation resource files:

1. Purpose: The file is a SAP translation trace file (saptrc variant) used for translation workflow tracking, where the actual values contain hash prefixes followed by the translated text.

2. Change Quality: The removal of text type documentation comments is appropriate for this file variant. The comments are maintained in the base i18n.properties file and don't need to be duplicated in the translation trace variant.

3. No Issues Found: The change is purely formatting/documentation cleanup. All property keys and values remain intact and properly formatted. No logic errors, bugs, security issues, or other substantive problems were identified.

The pull request is clean and ready for approval.

PR Bot Information

Version: 1.17.5

• Event Trigger: pull_request.opened
• LLM: anthropic--claude-4.5-sonnet
• Correlation ID: 16e54d70-ec3a-11f0-8703-d69a020ad815