# TinyTorch Standardized Testing Pattern

## Overview

All TinyTorch modules use a consistent testing pattern that ensures:
- **Consistent output format** across all modules
- **No code duplication** - shared utilities handle formatting
- **Easy test registration** - just register functions and run
- **Comprehensive reporting** - detailed pass/fail breakdown

## Usage Pattern

### 1. Import the Testing Utilities

```python
import sys
import os

# Add utils to path
sys.path.append(os.path.join(os.path.dirname(__file__), '..', 'utils'))
from testing import create_test_runner
```

### 2. Write Your Test Functions

```python
def test_feature_a():
    """Test feature A functionality."""
    # Your test code here
    assert something_works(), "Feature A should work"
    print("✅ Feature A tests passed!")

def test_feature_b():
    """Test feature B functionality."""
    # Your test code here
    assert something_else_works(), "Feature B should work"
    print("✅ Feature B tests passed!")
```

### 3. Register and Run Tests

```python
if __name__ == "__main__":
    # Create test runner for this module
    test_runner = create_test_runner("YourModule")
    
    # Register all tests
    test_runner.register_test("Feature A", test_feature_a)
    test_runner.register_test("Feature B", test_feature_b)
    
    # Run all tests with consistent output
    success = test_runner.run_all_tests()
```

## Standard Output Format

Every module will produce identical output:

```
🔬 Running YourModule Module Tests...
==================================================
🧪 Testing Feature A... ✅ PASSED
🧪 Testing Feature B... ✅ PASSED

============================================================
🎯 YOURMODULE MODULE TESTING COMPLETE
============================================================
🎉 CONGRATULATIONS! All tests passed!

✅ YourModule Module Status: 2/2 tests passed (100%)

📊 Detailed Results:
   Feature A: ✅ PASSED
   Feature B: ✅ PASSED

📈 Progress: YourModule Module ✓ COMPLETE

🚀 Ready for the next module!
```

## Benefits

1. **Consistency**: All modules have identical testing output
2. **No Duplication**: Testing utilities are shared across modules
3. **Easy Maintenance**: Changes to format only need to be made in one place
4. **Scalable**: Works for any number of tests and modules
5. **Professional**: Clean, standardized output suitable for educational use

## Implementation

- **Shared utilities**: `modules/source/utils/testing.py`
- **Test registration**: Each module registers its tests
- **Consistent format**: All modules get identical summary output
- **Error handling**: Detailed error reporting for failed tests 