"""
SmartCodeOptimizer
Generated by Eden via recursive self-improvement
2025-10-31 22:54:39.494222
"""

import ast

class SmartCodeOptimizer:
    """
    A class that optimizes Python code by analyzing its complexity and suggesting improvements.
    
    Attributes:
        code (str): The Python code to be optimized.
        
    Methods:
        optimize_code: Analyzes the given code and returns a dictionary with optimization suggestions.
    """

    def __init__(self, code):
        self.code = code
        self.tree = ast.parse(self.code)

    def analyze_complexity(self, node):
        """Analyze the complexity of an AST node."""
        if isinstance(node, (ast.FunctionDef, ast.ClassDef)):
            return 1 + sum(self.analyze_complexity(child) for child in ast.iter_child_nodes(node))
        elif isinstance(node, (ast.ListComp, ast.SetComp, ast.GeneratorExp)):
            return self.analyze_complexity(node.elt) * len(node.generators)
        else:
            return 0

    def optimize_code(self):
        """Optimize the code by analyzing its complexity and suggesting improvements."""
        suggestions = {}
        
        for node in ast.walk(self.tree):
            if isinstance(node, (ast.FunctionDef, ast.ClassDef)):
                complexity = self.analyze_complexity(node)
                if complexity > 5:
                    # Suggest refactoring into smaller functions
                    suggestion = f"Consider breaking the function '{node.name}' into smaller, more manageable pieces."
                    suggestions[node] = suggestion
        
        return suggestions

# Example usage
code_block = """
def fibonacci(n):
    if n <= 1:
        return n
    else:
        return fibonacci(n-1) + fibonacci(n-2)
"""

optimizer = SmartCodeOptimizer(code_block)
optimizations = optimizer.optimize_code()

for node, suggestion in optimizations.items():
    print(f"Optimization Suggestion: {suggestion}")