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https://github.com/azaion/ai-training.git
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Oleksandr Bezdieniezhnykh
a47fa135de
- Modified `.gitignore` to include test fixture data while excluding test results. - Updated `config.yaml` to change the model from 'yolo11m.yaml' to 'yolo26m.pt'. - Enhanced `.cursor/rules/coderule.mdc` with additional guidelines for test environment consistency and infrastructure handling. - Revised autopilot state management in `_docs/_autopilot_state.md` to reflect current progress and tasks. - Removed outdated augmentation tests and adjusted dataset formation tests to align with the new structure. These changes streamline the configuration and testing processes, ensuring better organization and clarity in the project.
26 lines
940 B
Markdown
26 lines
940 B
Markdown
# Resource Limit Test Scenarios
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## RL-DSF-01: Dataset split ratios sum to 100%
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- **Input**: Any number of images
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- **Action**: Check `train_set + valid_set + test_set`
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- **Expected**: Equals 100
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- **Traces**: AC: 70/20/10 split
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## RL-DSF-02: No data duplication across splits
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- **Input**: 100 images
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- **Action**: Run `form_dataset()`, collect all filenames across train/valid/test
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- **Expected**: No filename appears in more than one split
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- **Traces**: AC: Dataset integrity
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## RL-ENC-01: Encrypted output size bounded
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- **Input**: N bytes plaintext
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- **Action**: Encrypt
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- **Expected**: Ciphertext size ≤ N + 32 bytes (16 IV + up to 16 padding)
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- **Traces**: Restriction: AES-256-CBC overhead
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## RL-CLS-01: Total class count is exactly 80
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- **Input**: `classes.json`
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- **Action**: Generate class list for YAML
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- **Expected**: Exactly 80 entries (17 named × 3 weather + 29 placeholders = 80)
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- **Traces**: AC: 80 total class slots
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