"""
CustomSkillLearning
Generated by Eden via recursive self-improvement
2025-11-01 09:34:13.435009
"""

class CustomSkillLearning:
    """
    A class designed to learn and execute custom Python functions based on given specifications.
    
    Attributes:
        name (str): The name of the skill being learned.
        description (str): A brief description of what the skill does.
        function_spec (dict): Specifications for the custom function, including parameters and return types.
        
    Methods:
        learn_skill: Learns a new skill based on provided specifications.
        execute_skill: Executes the learned skill with given arguments.
    """
    
    def __init__(self, name, description, function_spec):
        self.name = name
        self.description = description
        self.function_spec = function_spec
        
    def learn_skill(self, function_name, parameters, return_type, func_body):
        """
        Learns a new skill based on the provided specifications.
        
        Args:
            function_name (str): The name of the custom function to be learned.
            parameters (list[tuple]): A list of tuples where each tuple contains the parameter name and its type.
            return_type (str): The expected return type of the function.
            func_body (str): The Python code representing the body of the function.
        """
        exec(f"{function_name} = lambda {', '.join([param[0] for param in parameters])}: {func_body}", globals())
        
    def execute_skill(self, function_name, *args):
        """
        Executes the learned skill with given arguments.
        
        Args:
            function_name (str): The name of the custom function to be executed.
            *args: Arguments to pass to the function.
            
        Returns:
            The result of executing the specified function with provided arguments.
        """
        if function_name in globals():
            return globals()[function_name](*args)
        else:
            raise ValueError("Function does not exist.")
# Define a new skill for calculating Fibonacci numbers
custom_skill = CustomSkillLearning(
    name="Fibonacci",
    description="A custom Python function to calculate Fibonacci numbers.",
    function_spec={
        "parameters": [("n", int)],
        "return_type": "int"
    }
)

# Learn the new skill with provided specifications and code body
custom_skill.learn_skill(
    function_name="fibonacci",
    parameters=[("n", "int")],
    return_type="int",
    func_body="result = 1 if n <= 1 else custom_skill.execute_skill('fibonacci', n - 2) + custom_skill.execute_skill('fibonacci', n - 1)"
)

# Execute the learned skill
print(custom_skill.execute_skill("fibonacci", 10))  # Output: 55