⚡ Bolt: Optimize startswith check in cli/integrations/job_parser.py

[anchapin]

💡 What: Change section_header_starts to a tuple and remove any() generator loop in startswith check.
🎯 Why: The startswith method in CPython is optimized to take a tuple of prefixes directly, avoiding a Python-level loop over strings. Also, the check for header + ":" is redundant as the base string already covers it.
📊 Impact: Reduces O(n) iteration overhead to O(1) C-level calls per line checked.
🔬 Measurement: Run the test suite and verify parser still behaves exactly as before.

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PR created automatically by Jules for task 5608667030226881999 started by @anchapin

Summary by Sourcery

Enhancements:

• Use a tuple of section header prefixes and direct str.startswith tuple support to avoid per-header looping in job parsing.

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Reviewer's guide (collapsed on small PRs)

Reviewer's Guide

Optimizes the section header detection logic in the job parser by using a tuple directly with str.startswith, eliminating a Python-level loop and redundant prefix variants while keeping behavior the same for the defined headers.

File-Level Changes

Change	Details	Files
Optimize section header prefix checking using tuple-based str.startswith instead of a generator over a list and redundant header variants.	Change section_header_starts from a list to a tuple of header prefixes suitable for str.startswith. Update the section header skip condition to call line_lower.startswith(section_header_starts) directly, removing the any(...) generator loop. Remove the redundant header + ':' check since the base header prefixes already cover the intended matches.	cli/integrations/job_parser.py

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