enhance: support resume infer dataset from the lastest

[Haruko386]

Summary

support resume infer dataset from the lastest(only infer)

Related Issue

Related to #16

Type of Change

• Bug fix
• New feature
• Documentation update
• Refactor
• CI / build change
• Other

Test Results

Waitting for test on server

Summary by CodeRabbit

• New Features
  • Added an option to resume interrupted inference runs.
  • The system now detects existing valid prediction outputs and skips them automatically.
  • If all items are already complete, the run exits early without performing additional inference.
• Reliability Improvements
  • Predictions are saved atomically to reduce partial or corrupted outputs.
  • Missing, invalid, or empty prediction files are detected and regenerated.

[coderabbitai]

No actionable comments were generated in the recent review. 🎉

ℹ️ Recent review info

⚙️ Run configuration

Configuration used: defaults

Review profile: CHILL

Plan: Pro Plus

Run ID: 18ef65ba-5d30-40f8-b69d-1004b2e29584

📥 Commits

Reviewing files that changed from the base of the PR and between 0836848 and 6315d3a.

📒 Files selected for processing (1)

• infer.py

🚧 Files skipped from review as they are similar to previous changes (1)

• infer.py

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📝 Walkthrough

Walkthrough

Inference now supports resuming interrupted runs by validating existing .npy predictions, processing only pending dataset entries, exiting when complete, and saving outputs atomically. A new --resume_run CLI flag controls this behavior.

Changes

Resumable inference

Layer / File(s)	Summary
Prediction discovery and atomic output infer.py	Adds helpers to derive prediction paths, validate existing predictions, identify pending dataset indices, and atomically save prediction files.
Resume CLI execution flow infer.py	Adds --resume_run, scans completed outputs, runs inference on a pending-entry Subset, exits when no work remains, and uses atomic prediction saving.

Estimated code review effort: 3 (Moderate) | ~20 minutes

Sequence Diagram(s)

sequenceDiagram
  participant CLI
  participant Dataset
  participant PredictionFiles
  participant DataLoader
  CLI->>Dataset: compute pending indices
  Dataset->>PredictionFiles: validate existing predictions
  PredictionFiles-->>CLI: return pending indices
  CLI->>DataLoader: create Subset from pending indices
  DataLoader-->>CLI: provide remaining samples
  CLI->>PredictionFiles: atomically save predictions

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🚥 Pre-merge checks | ✅ 5

✅ Passed checks (5 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title clearly states the main change: adding resume support for inference, even if wording is awkward.
Description check	✅ Passed	The description includes all required sections from the template, with test results noted as pending.
Docstring Coverage	✅ Passed	Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.
Linked Issues check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check	✅ Passed	Check skipped because no linked issues were found for this pull request.

✨ Finishing Touches

📝 Generate docstrings

• Create stacked PR
• Commit on current branch

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Commit unit tests in branch moonshot

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[coderabbitai]

Actionable comments posted: 1

🤖 Prompt for all review comments with AI agents

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

Inline comments:
In `@infer.py`:
- Around line 83-88: The save_prediction_atomic function must avoid reusing the
fixed “.tmp” pathname across concurrent saves. Create a unique temporary file in
the destination directory for each save, write the NPY data to it, then
atomically replace save_to and clean up any temporary file if the operation
fails.

🪄 Autofix (Beta)

Fix all unresolved CodeRabbit comments on this PR:

• Push a commit to this branch (recommended)
• Create a new PR with the fixes

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ℹ️ Review info

⚙️ Run configuration

Configuration used: defaults

Review profile: CHILL

Plan: Pro Plus

Run ID: 8a0d0a4e-894a-4365-a598-2a03bd7be03b

📥 Commits

Reviewing files that changed from the base of the PR and between 969a011 and dc1b2b2.

📒 Files selected for processing (1)

• infer.py

[coderabbitai]

Note

Docstrings generation - SUCCESS
Generated docstrings for this pull request at #33

[Haruko386]

LGTM