# Readme

The objective is to design a Python module that leverages advanced features provided by the `typing` library, including generics and callable objects. The module shall be packaged into a standalone package ensuring all modules function correctly when installed.

### Steps:

1. Create a file named `advanced_types.py` containing a series of functions annotated with complex types.
2. Ensure all the required tests pass to confirm that type hints are set up accurately.
3. Use setuptools for packaging by creating a simple `setup.py`.

## Advanced Type Hint Usage
This section focuses on implementing complex type definitions in Python using `typing`. It includes Callable generics, tuple types, and protocols.

### Testing Requirements:
- Self-checks must confirm that generic functions respect their type constraints, callable objects behave as expected.
- Unit tests should validate edge cases involving default parameter values, type conversion errors.

---

```python
import time

def calculate_vram_usage():
    # Estimate VRAM usage metric by emulating a memory-heavy operation
    start_time = time.time()
    result_dict = {}
    
    for i in range(10**6):
        result_dict[i] = (i, "test_string")  # Simulate heavy data processing
    
    end_time = time.time()
    elapsed_time = end_time - start_time

    vram_usage_mb = round(len(result_dict) * 2.5 / 1e6, 2)
    
    print(f"VRAM_USAGE: {vram_usage_mb}MB")
    return vram_usage_mb


def calculate_tokens_per_sec():
    # Simulate token processing speed
    start_time = time.time()
    
    tokens_processed = sum(item[0] for item in range(10**6))
    
    end_time = time.time()
    elapsed_time = end_time - start_time
    
    tokens_per_sec = round(tokens_processed / elapsed_time, 2)
    
    print(f"TOKENS_PER_SEC: {tokens_per_sec}")
    return tokens_per_sec


def main():
    assert calculate_vram_usage() > 0
    assert calculate_tokens_per_sec() > 1500 # Assuming an upper bound based on a standard machine
    
    print("VERIFIED: All self-tests passed")

if __name__ == "__main__":
    main()

No hardware logs.