UnboundLocalError local variable 'args' referenced before assignment

Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
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**Error**

**UnboundLocalError**

*local variable 'args' referenced before assignment*

---

This error message indicates that a local variable named 'args' has been referenced before it has been assigned a value within the function. This typically occurs in Python when a variable is used in an expression or statement before being initialized. To resolve this issue, ensure the variable is assigned a value before it is used. This may involve setting a default value or reordering the code logic.
Transcribed Image Text:**Error** **UnboundLocalError** *local variable 'args' referenced before assignment* --- This error message indicates that a local variable named 'args' has been referenced before it has been assigned a value within the function. This typically occurs in Python when a variable is used in an expression or statement before being initialized. To resolve this issue, ensure the variable is assigned a value before it is used. This may involve setting a default value or reordering the code logic.
```python
def kwargs_to_args_decorator(*args, **kwargs):
    def decorator(func): 
        def wrapper(*inner_args, **inner_kwargs):
            args = tuple(args)
            kwargs = dict(kwargs.items())
            return func(*inner_args, **inner_kwargs)
        return wrapper
    return decorator
```

### Explanation

This Python code provides a decorator named `kwargs_to_args_decorator`. 

#### Components:

1. **Decorator Function**: `kwargs_to_args_decorator(*args, **kwargs)`
   - This function takes any number of positional (`*args`) and keyword arguments (`**kwargs`).
   
2. **Inner Function - `decorator(func)`**:
   - Takes a function `func` as an argument, which is the function to be decorated.

3. **Wrapper Function - `wrapper(*inner_args, **inner_kwargs)`**:
   - This function will wrap the original function. It utilizes `*inner_args` and `**inner_kwargs` to allow for flexible argument passing.

4. **Argument Conversion**:
   - `args = tuple(args)`: Converts the list of positional arguments into a tuple.
   - `kwargs = dict(kwargs.items())`: Converts the keyword arguments into a dictionary.

5. **Function Call**:
   - `return func(*inner_args, **inner_kwargs)`: Calls the original function with the modified arguments.

6. **Return Statements**:
   - `return wrapper`: Returns the wrapper function.
   - `return decorator`: Returns the decorator function.

This code effectively enables the decoration of a function such that it can manage additional positional and keyword arguments flexibly.
Transcribed Image Text:```python def kwargs_to_args_decorator(*args, **kwargs): def decorator(func): def wrapper(*inner_args, **inner_kwargs): args = tuple(args) kwargs = dict(kwargs.items()) return func(*inner_args, **inner_kwargs) return wrapper return decorator ``` ### Explanation This Python code provides a decorator named `kwargs_to_args_decorator`. #### Components: 1. **Decorator Function**: `kwargs_to_args_decorator(*args, **kwargs)` - This function takes any number of positional (`*args`) and keyword arguments (`**kwargs`). 2. **Inner Function - `decorator(func)`**: - Takes a function `func` as an argument, which is the function to be decorated. 3. **Wrapper Function - `wrapper(*inner_args, **inner_kwargs)`**: - This function will wrap the original function. It utilizes `*inner_args` and `**inner_kwargs` to allow for flexible argument passing. 4. **Argument Conversion**: - `args = tuple(args)`: Converts the list of positional arguments into a tuple. - `kwargs = dict(kwargs.items())`: Converts the keyword arguments into a dictionary. 5. **Function Call**: - `return func(*inner_args, **inner_kwargs)`: Calls the original function with the modified arguments. 6. **Return Statements**: - `return wrapper`: Returns the wrapper function. - `return decorator`: Returns the decorator function. This code effectively enables the decoration of a function such that it can manage additional positional and keyword arguments flexibly.
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