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Update test results directory structure and enhance Docker configurations
- Modified `.gitignore` to reflect the new path for test results. - Updated `docker-compose.test.yml` to mount the correct test results directory. - Adjusted `Dockerfile.test` to set the `PYTHONPATH` and ensure test results are saved in the updated location. - Added `boto3` and `netron` to `requirements-test.txt` to support new functionalities. - Updated `pytest.ini` to include the new `pythonpath` for test discovery. These changes streamline the testing process and ensure compatibility with the updated directory structure.
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# List of Changes Template
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Save as `RUN_DIR/list-of-changes.md`. Produced during Phase 1 (Discovery).
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---
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```markdown
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# List of Changes
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**Run**: [NN-run-name]
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**Mode**: [automatic | guided]
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**Source**: [self-discovered | path/to/input-file.md]
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**Date**: [YYYY-MM-DD]
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## Summary
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[1-2 sentence overview of what this refactoring run addresses]
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## Changes
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### C01: [Short Title]
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- **File(s)**: [file paths, comma-separated]
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- **Problem**: [what makes this problematic / untestable / coupled]
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- **Change**: [what to do — behavioral description, not implementation steps]
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- **Rationale**: [why this change is needed]
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- **Risk**: [low | medium | high]
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- **Dependencies**: [other change IDs this depends on, or "None"]
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### C02: [Short Title]
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- **File(s)**: [file paths]
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- **Problem**: [description]
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- **Change**: [description]
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- **Rationale**: [description]
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- **Risk**: [low | medium | high]
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- **Dependencies**: [C01, or "None"]
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```
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---
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## Guidelines
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- **Change IDs** use format `C##` (C01, C02, ...) — sequential within the run
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- Each change should map to one atomic task (1-5 complexity points); split if larger
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- **File(s)** must reference actual files verified to exist in the codebase
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- **Problem** describes the current state, not the desired state
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- **Change** describes what the system should do differently — behavioral, not prescriptive
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- **Dependencies** reference other change IDs within this list; cross-run dependencies use Jira IDs
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- In guided mode, the input file entries are validated against actual code and enriched with file paths, risk, and dependencies before writing
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- In automatic mode, entries are derived from Phase 1 component analysis and Phase 2 research findings
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