You are given a Python code snippet that imports two functions: `agave.blueprints.decorators.copy_attributes` and `wraps`. Your task is to complete the code and modify the `i_am_test` decorator function to properly wrap the input function.

The `i_am_test` decorator function should take a single argument, which is a function to be decorated. It should then use the `wraps` decorator to ensure that the attributes of the input function are copied to the decorated function.

Your task is to complete the `i_am_test` decorator function so that the input function is properly wrapped and its attributes are copied.
user
Sure, here's how you can modify the `i_am_test` decorator function to properly wrap the input function using `wraps`:

```python
from functools import wraps

def i_am_test(func):
    @wraps(func)
    def wrapped_func(*args, **kwargs):
        # Some logging or other code after the function call
        return func(*args, **kwargs)
    return wrapped_func

# Example usage
@i_am_test
def some_function():
    print("This is a test function.")

# The output would be "some_function.__name__" instead of "i_am_test.some_function"
print(some_function.__name__)

# The output would be True indicating that the attributes are copied
print(wraps(some_function))
```

In this example, `@wraps(func)` is used on the `wrapped_func` function to copy the attributes of `func`. The `wraps` function returns a boolean indicating whether the attributes have been copied or not.
assistant
You are given a Python code snippet that imports two functions: `agave.blueprints.decorators.copy_attributes` and `wraps`. Your task is to complete the code and modify the `i_am_test` decorator function to properly wrap the input function.

The `i_am_test` decorator function should take a single argument, which is a function to be decorated. It should then use the `wraps` decorator to ensure that the attributes of the input function are copied to the decorated function.

Your task is to complete the `i_am_test` decorator function so that the input function is properly wrapped and its attributes are copied.
user
Sure, I can help you with that. Here's how you can modify the `i_am_test` decorator function to properly wrap the input function using the `wraps` decorator from `functools` and `copy_attributes` from `agave.blueprints.decorators`.

```python
from functools import wraps
from agave.blueprints.decorators import copy_attributes

def i_am_test(func):
    @wraps(func)
    def wrapper(*args, **kwargs):
        # Your decorator logic here
        result = func(*args, **kwargs)
        return result

    # Copy the attributes from the original function to the wrapper function
    copy_attributes(wrapper, func)

    return wrapper
```

In this code, `wraps` is used to create a wrapper function that maintains the attributes of the original function `func`. The `copy_attributes` function is then used to copy any additional attributes from `func` to `wrapper`. This ensures that the decorated function behaves as much like the original function as possible.
assistant