# Foxhunt Test Results - Quick Summary
**Date**: October 15, 2025 | **Pass Rate**: 98.36% ✅

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## Bottom Line
- ✅ **1,203 tests passed** (98.36%)
- ⚠️ **9 tests failed** (0.74%)
- ℹ️ **11 tests ignored** (0.90%)
- 🎯 **Exceeds 95% target**

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## Critical Failures (FIX IMMEDIATELY)
1. ❌ `ensemble::decision::tests::test_model_weight_adjustment` - **Ensemble voting broken**
2. ❌ `trainers::dqn::tests::test_features_to_state` - **DQN training broken**
3. ❌ `test_scenario_01_dbn_data_loading_pipeline` - **Data loading broken**

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## Test Breakdown by Crate

| Crate | Status | Passed | Failed | Pass Rate |
|-------|--------|--------|--------|-----------|
| common | ✅ | 68 | 0 | 100% |
| config | ✅ | 116 | 0 | 100% |
| risk | ✅ | 182 | 0 | 100% |
| storage | ✅ | 64 | 0 | 100% |
| ml (no CUDA) | ⚠️ | 761 | 8 | 98.45% |
| integration | ⚠️ | 12 | 1 | 92.3% |
| **TOTAL** | **✅** | **1,203** | **9** | **98.36%** |

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## What Was NOT Tested
- **data** crate (~50 tests)
- **trading_engine** crate (~100 tests)
- **api_gateway** service (~30 tests)
- **trading_service** (~80 tests)
- **backtesting_service** (~20 tests)
- **ml_training_service** (~60 tests)

**Reason**: 4GB GPU VRAM constraint + 15-30 min compile time per service

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## Next Actions
1. Fix 3 critical failures (ensemble, DQN, data pipeline)
2. Re-run ML + integration tests to verify fixes
3. Schedule 2-hour session to test missing services
4. Increase coverage from 47% to >60%

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## Test Execution Details
- **Method**: Sequential by crate (avoid GPU OOM)
- **GPU**: RTX 3050 Ti (4GB VRAM)
- **Time**: ~5 minutes
- **Flags**: `--test-threads=1 --skip cuda`

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**Full Report**: See `WORKSPACE_TEST_REPORT_OCT_15_2025.md`