Native Python function is calling _invoke_semantic_async instead of _invoke_native_async

[goodsky]

Describe the bug
When trying to invoke a native function in Python, I am running into this error:

File [...\site-packages\semantic_kernel\orchestration\sk_function.py:311] in SKFunction.invoke(self, input, variables, context, memory, settings, log)
    309         return self._runThread(self._invoke_semantic_async(context, settings))
    310     else:
--> 311         return self._runThread(self._invoke_semantic_async(context))
    312 else:
    313     if self.is_semantic:

TypeError: SKFunction._invoke_semantic_async() missing 1 required positional argument: 'settings'

Looking at line 310 of sk_function.py it appears that there is a typo. It seems we should be invoking self._invoke_native_async(context) instead of self._invoke_semantic_async.

To Reproduce
Steps to reproduce the behavior:

1. Load a native function.
2. Execute it

Sample Script
This is the script I am running to reproduce:

nativeFunctions = kernel.import_native_skill_from_directory("skills", "GenerateNumber")
randomFunction = nativeFunctions["Random"]
result = randomFunction.invoke(input="10")

Where the 'GenerateNumber' skill looks like this:

class GenerateNumberSkill:
    """
    Description: Generates numbers
    """

    @sk_function(description="Generates a random number between 1 - <input>", name="Random")
    def random_number(self, input: str) -> str:
        """
        Description: Generates a random number between 1 - <input>
        """
        try:
            return str(random.randint(1, int(input)))
        except ValueError as e:
            print(f"Invalid upper bound for random value: {input}")
            raise e

[alexchaomander]

@mkarle can you take a look at this?

[mkarle]

Thanks for finding this typo! I'll submit a fix for it.