Decorators

The log_call_count function below doesn't care about the number or the types of the decorated function's (func_to_decorate) arguments. It just wants to count how many times the function is called. However, it still needs to pass any arguments through to the wrapped function.

from collections.abc import Callable


def log_call_count(func_to_decorate: Callable[..., object]) -> Callable[..., object]:
    count: int = 0

    def wrapper(*args: object, **kwargs: object) -> object:
        nonlocal count
        count += 1
        print(f"Called {count} times")
        # Pass any and all arguments to the decorated function
        return func_to_decorate(*args, **kwargs)

    return wrapper

Complete the markdown_to_text_decorator function. It can decorate a function with any number of string arguments, no matter if they're positional or keyword args. It will run the decorated function, but first strip out any Markdown heading symbols (see below for an explanation of Markdown headings).

For example, if the decorated function is called like this:

format_as_essay(title="# My Title", body="Hello", conclusion="## Done")

The wrapper should convert the keyword argument values, then call the original function like this:

format_as_essay(title="My Title", body="Hello", conclusion="Done")

The same idea applies to positional arguments:

concat("# First", "## Second")

should become:

concat("First", "Second")

markdown_to_text_decorator should return a wrapper function that takes *args and **kwargs. The wrapper should:

1. Convert every positional argument in args with convert_md_to_txt.
2. Convert every value in kwargs with convert_md_to_txt, while keeping each key unchanged.
3. Call the decorated function with the converted positional and keyword arguments.
4. Return the decorated function's result.

• Take a look at formatters.py to see what the formatter functions do. What arguments are they expecting? You can use the * tuple unpacking and ** dictionary unpacking operators to pass variables as the correct arguments.

• One way to convert each Markdown string to plain text is with map. For kwargs, use the .items() dictionary method to work with key-value pairs.

• The provided convert_md_to_txt function takes a string of Markdown text and returns the text with any "heading" symbols removed. For example:

  Input	Output
  # This is a heading	This is a heading
  ## This is also a heading	This is also a heading
  This is not a heading	This is not a heading
  * This is also not a heading	* This is also not a heading