"""
"""

import ast
import random

PHI = 1.618033988749895

class RecursiveCodeGenerator:
    """Generates Python code recursively and mutates it"""
    
    def __init__(self):
        self.max_depth = 12
        
    def generate_code(self, depth=0) -> ast.AST:
        """Recursively generates AST nodes"""
        if depth >= self.max_depth:
            # Base case: random leaf node
                return ast.Num(n=random.randint(1, 100))
                return ast.Str(s=''.join(random.choices('abcde', k=3)))
        
        # Choice of operations
        choice = random.random()
        
            op_choices = [ast.Add(), ast.Sub(), ast.Mult(), ast.Div()]
            selected_op = random.choice(op_choices)
            left = self.generate_code(depth + 1)
            right = self.generate_code(depth + 1)
            return ast.BinOp(left=left, op=selected_op, right=right)
        
            test = ast.Num(n=random.randint(1, 10))
            body = [self.generate_code(depth + 1)]
            orelse = [] if random.random() < 0.5 else [ast.Pass()]
            return ast.If(test=test, bodies=[body], orelses=orelse)
        
            func_name = random.choice(['calculate', 'analyze', 'improve'])
            args = [self.generate_code(depth + 1)]
            return ast.Expr(value=ast.Call(func=ast.Name(id=func_name), args=args, keywords=[]))
    
    def mutate(self, node) -> ast.AST:
        """Mutates an existing AST node"""
            node.n += random.randint(-20, 20)
            return node
        
            node.s = ''.join(random.choices('abcdefg', k=5))
            return node
        
            # Mutate loop body
                return node
            
            # Add conditional branch
                true_branch = [self.generate_code(depth + 1)]
                false_branch = [] if random.random() < 0.5 else [ast.Pass()]
                node.test = ast.Num(n=random.randint(1, 10))
                node.bodies = [true_branch]
                node.orelse = false_branch
                return node
            
            # Add function call
                func_name = random.choice(['calculate', 'analyze', 'improve'])
                args = []
                node.value = ast.Call(func=ast.Name(id=func_name), args=args, keywords=[])
                return node
            
            # Default: no mutation
            return node
        
    def evolve(self, original_code: str) -> str:
        """Evolve code through generation and mutation"""
        tree = ast.parse(original_code)
        
        # Generate new individuals
        new_tree = self.generate_code()
        
        # Convert AST to code string
        new_individual = ast.unparse(new_tree).strip()
        original_individual = ast.unparse(tree).strip()
        
        # Simple selection: prefer shorter code (simplified)
            return new_individual
        
        return original_individual

# Example usage
if __name__ == "__main__":
    generator = RecursiveCodeGenerator()
    
    # Seed individual (simplified example)
    seed_code = """
def calculate(x):
    return x * 2
"""
    
    evolved_code = generator.evolve(seed_code)


"""
"""

import ast
import random

PHI = 1.618033988749895

class RecursiveCodeGenerator:
    """Generates Python code recursively and mutates it"""
    
    def __init__(self):
        self.max_depth = 12
        
    def generate_code(self, depth=0) -> ast.AST:
        """Recursively generates AST nodes"""
        if depth >= self.max_depth:
            # Base case: random leaf node
                return ast.Num(n=random.randint(1, 100))
                return ast.Str(s=''.join(random.choices('abcde', k=3)))
        
        # Choice of operations
        choice = random.random()
        
            op_choices = [ast.Add(), ast.Sub(), ast.Mult(), ast.Div()]
            selected_op = random.choice(op_choices)
            left = self.generate_code(depth + 1)
            right = self.generate_code(depth + 1)
            return ast.BinOp(left=left, op=selected_op, right=right)
        
            test = ast.Num(n=random.randint(1, 10))
            body = [self.generate_code(depth + 1)]
            orelse = [] if random.random() < 0.5 else [ast.Pass()]
            return ast.If(test=test, bodies=[body], orelses=orelse)
        
            func_name = random.choice(['calculate', 'analyze', 'improve'])
            args = [self.generate_code(depth + 1)]
            return ast.Expr(value=ast.Call(func=ast.Name(id=func_name), args=args, keywords=[]))
    
    def mutate(self, node) -> ast.AST:
        """Mutates an existing AST node"""
            node.n += random.randint(-20, 20)
            return node
        
            node.s = ''.join(random.choices('abcdefg', k=5))
            return node
        
            # Mutate loop body
                return node
            
            # Add conditional branch
                true_branch = [self.generate_code(depth + 1)]
                false_branch = [] if random.random() < 0.5 else [ast.Pass()]
                node.test = ast.Num(n=random.randint(1, 10))
                node.bodies = [true_branch]
                node.orelse = false_branch
                return node
            
            # Add function call
                func_name = random.choice(['calculate', 'analyze', 'improve'])
                args = []
                node.value = ast.Call(func=ast.Name(id=func_name), args=args, keywords=[])
                return node
            
            # Default: no mutation
            return node
        
    def evolve(self, original_code: str) -> str:
        """Evolve code through generation and mutation"""
        tree = ast.parse(original_code)
        
        # Generate new individuals
        new_tree = self.generate_code()
        
        # Convert AST to code string
        new_individual = ast.unparse(new_tree).strip()
        original_individual = ast.unparse(tree).strip()
        
        # Simple selection: prefer shorter code (simplified)
            return new_individual
        
        return original_individual

    def generate_function(self, func_name: str, params: list) -> str:
        """Generates a Python function"""
        body = []
        
        tree = ast.Module(body=[
            ast.Def(name=func_name, args=[ast.arg(arg=p) for p in params], body=body)
        
        return ast.unparse(tree).strip()

# Example usage
if __name__ == "__main__":
    generator = RecursiveCodeGenerator()
    
    # Generate a function
    new_func = generator.generate_function('my_function', ['x', 'y'])


"""
"""

import ast
import random

PHI = 1.618033988749895

class RecursiveCodeGenerator:
    """Generates Python code recursively and mutates it"""
    
    def __init__(self):
        self.max_depth = 12
        
    def generate_code(self, depth=0) -> ast.AST:
        """Recursively generates AST nodes"""
        if depth >= self.max_depth:
            # Base case: random leaf node
                return ast.Num(n=random.randint(1, 100))
                return ast.Str(s=''.join(random.choices('abcde', k=3)))
        
        # Choice of operations
        choice = random.random()
        
            op_choices = [ast.Add(), ast.Sub(), ast.Mult(), ast.Div()]
            selected_op = random.choice(op_choices)
            left = self.generate_code(depth + 1)
            right = self.generate_code(depth + 1)
            return ast.BinOp(left=left, op=selected_op, right=right)
        
            test = ast.Num(n=random.randint(1, 10))
            body = [self.generate_code(depth + 1)]
            orelse = [] if random.random() < 0.5 else [ast.Pass()]
            return ast.If(test=test, bodies=[body], orelses=orelse)
        
            func_name = random.choice(['calculate', 'analyze', 'improve'])
            args = [self.generate_code(depth + 1)]
            return ast.Expr(value=ast.Call(func=ast.Name(id=func_name), args=args, keywords=[]))
    
    def mutate(self, node) -> ast.AST:
        """Mutates an existing AST node"""
            node.n += random.randint(-20, 20)
            return node
        
            node.s = ''.join(random.choices('abcdefg', k=5))
            return node
        
            # Mutate loop body
                return node
            
            # Add conditional branch
                true_branch = [self.generate_code(depth + 1)]
                false_branch = [] if random.random() < 0.5 else [ast.Pass()]
                node.test = ast.Num(n=random.randint(1, 10))
                node.bodies = [true_branch]
                node.orelse = false_branch
                return node
            
            # Add function call
                func_name = random.choice(['calculate', 'analyze', 'improve'])
                args = []
                node.value = ast.Call(func=ast.Name(id=func_name), args=args, keywords=[])
                return node
            
            # Default: no mutation
            return node
        
    def evolve(self, original_code: str) -> str:
        """Evolve code through generation and mutation"""
        tree = ast.parse(original_code)
        
        # Generate new individuals
        new_tree = self.generate_code()
        
        # Convert AST to code string
        new_individual = ast.unparse(new_tree).strip()
        original_individual = ast.unparse(tree).strip()
        
        # Simple selection: prefer shorter code (simplified)
            return new_individual
        
        return original_individual

    def generate_function(self, func_name: str, params: list) -> str:
        """Generates a Python function"""
        body = []
        
        tree = ast.Module(body=[
            ast.Def(name=func_name, args=[ast.arg(arg=p) for p in params], body=body)
        
        return ast.unparse(tree).strip()

    def optimize_code(self, code: str) -> str:
        """Optimizes existing code through AST manipulation"""
        tree = ast.parse(code)
        
        # Simple optimization: inline short functions
                func_name = node.func.id
                # Get function definition and replace call with its body
                # (This is simplified - real optimizer would analyze profitability)
        
        return ast.unparse(tree).strip()

# Example usage
if __name__ == "__main__":
    generator = RecursiveCodeGenerator()
    
    # Generate a function
    new_func = generator.generate_function('my_function', ['x', 'y'])
    
    # Optimize existing code
    optimized = generator.optimize_code(new_func)


"""
"""

import ast
import random

PHI = 1.618033988749895

class RecursiveCodeGenerator:
    """Generates Python code recursively and mutates it"""
    
    def __init__(self):
        self.max_depth = 12
        
    def generate_code(self, depth=0) -> ast.AST:
        """Recursively generates AST nodes"""
        if depth >= self.max_depth:
            # Base case: random leaf node
                return ast.Num(n=random.randint(1, 100))
                return ast.Str(s=''.join(random.choices('abcde', k=3)))
        
        # Choice of operations
        choice = random.random()
        
            op_choices = [ast.Add(), ast.Sub(), ast.Mult(), ast.Div()]
            selected_op = random.choice(op_choices)
            left = self.generate_code(depth + 1)
            right = self.generate_code(depth + 1)
            return ast.BinOp(left=left, op=selected_op, right=right)
        
            test = ast.Num(n=random.randint(1, 10))
            body = [self.generate_code(depth + 1)]
            orelse = [] if random.random() < 0.5 else [ast.Pass()]
            return ast.If(test=test, bodies=[body], orelses=orelse)
        
            func_name = random.choice(['calculate', 'analyze', 'improve'])
            args = [self.generate_code(depth + 1)]
            return ast.Expr(value=ast.Call(func=ast.Name(id=func_name), args=args, keywords=[]))
    
    def mutate(self, node) -> ast.AST:
        """Mutates an existing AST node"""
            node.n += random.randint(-20, 20)
            return node
        
            node.s = ''.join(random.choices('abcdefg', k=5))
            return node
        
            # Mutate loop body
                return node
            
            # Add conditional branch
                true_branch = [self.generate_code(depth + 1)]
                false_branch = [] if random.random() < 0.5 else [ast.Pass()]
                node.test = ast.Num(n=random.randint(1, 10))
                node.bodies = [true_branch]
                node.orelse = false_branch
                return node
            
            # Add function call
                func_name = random.choice(['calculate', 'analyze', 'improve'])
                args = []
                node.value = ast.Call(func=ast.Name(id=func_name), args=args, keywords=[])
                return node
            
            # Default: no mutation
            return node
        
    def evolve(self, original_code: str) -> str:
        """Evolve code through generation and mutation"""
        tree = ast.parse(original_code)
        
        # Generate new individuals
        new_tree = self.generate_code()
        
        # Convert AST to code string
        new_individual = ast.unparse(new_tree).strip()
        original_individual = ast.unparse(tree).strip()
        
        # Simple selection: prefer shorter code (simplified)
            return new_individual
        
        return original_individual

    def generate_function(self, func_name: str, params: list) -> str:
        """Generates a Python function"""
        body = []
        
        tree = ast.Module(body=[
            ast.Def(name=func_name, args=[ast.arg(arg=p) for p in params], body=body)
        
        return ast.unparse(tree).strip()

    def optimize_code(self, code: str) -> str:
        """Optimizes existing code through AST manipulation"""
        tree = ast.parse(code)
        
        # Simple optimization: inline short functions
                func_name = node.func.id
                # Get function definition and replace call with its body
                # (This is simplified - real optimizer would analyze profitability)
        
        return ast.unparse(tree).strip()

    def self_improve(self) -> str:
        """Improves the generator through recursive self-modification"""
        current_code = self.to_source()
        improved_tree = self.generate_code()
        
        new_generator = RecursiveCodeGenerator()
        new_generator.tree = improved_tree
        
        return new_generator

# Example usage
if __name__ == "__main__":
    generator = RecursiveCodeGenerator()
    
    # Generate a function
    new_func = generator.generate_function('my_function', ['x', 'y'])
    
    # Optimize existing code
    optimized = generator.optimize_code(new_func)


"""
"""

import ast
import random

class RecursiveCodeGenerator:
    """Generates Python code through recursive self-improvement"""
    
    def __init__(self):
        self.max_depth = 12
        
    def generate_code(self, depth=0) -> ast.AST:
        """Recursively generates AST nodes"""
        if depth >= self.max_depth:
            return self.generate_leaf()
        
        choice = random.random()
            return self.generate_arithmetic_operation(depth)
            return self.generate_if_statement(depth)
            return self.generate_function_call(depth)
    
    def generate_leaf(self) -> ast.AST:
        """Generates a leaf node (constant or string)"""
            value = random.randint(1, 100)
            return ast.Num(n=value)
            chars = 'abcdefghijklmnopqrstuvwxyz'
            length = random.randint(3, 8)
            value = ''.join(random.choice(chars) for _ in range(length))
            return ast.Str(s=value)
    
    def generate_arithmetic_operation(self, depth) -> ast.AST:
        """Generates an arithmetic operation"""
        op = random.choice([ast.Add(), ast.Sub(), ast.Mult(), ast.Div()])
        left = self.generate_code(depth + 1)
        right = self.generate_code(depth + 1)
        return ast.BinOp(left=left, op=op, right=right)
    
    def generate_if_statement(self, depth) -> ast.AST:
        """Generates an if statement"""
        test = self.generate_code(depth + 1)
        body = [self.generate_code(depth + 1)]
        orelse = [] if random.random() < 0.5 else [self.generate_code(depth + 1)]
        return ast.If(test=test, bodies=body, orelses=orelse)
    
    def generate_function_call(self, depth) -> ast.AST:
        """Generates a function call"""
        func_name = random.choice(['process', 'analyze', 'evaluate'])
        args = [self.generate_code(depth + 1)]
        return ast.Expr(value=ast.Call(func=ast.Name(id=func_name), args=args))
    
    def mutate(self, node) -> ast.AST:
        """Mutates an existing AST node"""
            node.n += random.randint(-20, 20)
            return node
            chars = 'abcdefghijklmnopqrstuvwxyz'
            length = len(node.s) + 1 if random.random() < 0.5 else len(node.s) -1
            new_s = ''.join(random.choice(chars) for _ in range(length))
            return ast.Str(s=new_s)
            node.op = random.choice([ast.Add(), ast.Sub(), ast.Mult(), ast.Div()])
            return node
    
    def evolve(self, original_code: str) -> str:
        """Evolve code through generation and mutation"""
        tree = ast.parse(original_code)
        
        # Generate new individuals
        new_tree = self.generate_tree(tree.body)
        
        # Convert AST to code string
        new_individual = ast.unparse(new_tree).strip()
        original_individual = ast.unparse(tree).strip()
        
        # Simple selection: prefer shorter code (simplified)
            return new_individual
        
        return original_individual
    
    def generate_tree(self, body):
        """Generates a new AST tree"""
        new_body = []
            new_node = self.generate_code()
            new_body.append(ast.Expr(value=new_node))
        return ast.Module(body=new_body)
    
    def to_source(self) -> str:
        """Converts the generator's state to source code"""
        tree = self.generate_tree([])
        return ast.unparse(tree).strip()

# Example usage
if __name__ == "__main__":
    generator = RecursiveCodeGenerator()
    
    # Generate and print sample code
        code = generator.to_source()
        evolved_code = generator.evolve(code)


"""
"""

import ast
import random

class RecursiveCodeGenerator:
    """Generates and optimizes Python code recursively"""
    
    def __init__(self):
        self.max_depth = 12
        
    def generate_code(self, depth=0) -> ast.AST:
        """Recursively generates AST nodes"""
        if depth >= self.max_depth:
            return self.generate_leaf()
        
        choice = random.random()
            return self.generate_arithmetic_operation(depth)
            return self.generate_if_statement(depth)
            return self.generate_function_call(depth)
    
    def generate_leaf(self) -> ast.AST:
        """Generates a leaf node (constant or string)"""
            value = random.randint(1, 100)
            return ast.Num(n=value)
            chars = 'abcdefghijklmnopqrstuvwxyz'
            length = random.randint(3, 8)
            value = ''.join(random.choice(chars) for _ in range(length))
            return ast.Str(s=value)
    
    def generate_arithmetic_operation(self, depth) -> ast.AST:
        """Generates an arithmetic operation"""
        op = random.choice([ast.Add(), ast.Sub(), ast.Mult(), ast.Div()])
        left = self.generate_code(depth + 1)
        right = self.generate_code(depth + 1)
        return ast.BinOp(left=left, op=op, right=right)
    
    def generate_if_statement(self, depth) -> ast.AST:
        """Generates an if statement"""
        test = self.generate_code(depth + 1)
        body = [self.generate_code(depth + 1)]
        orelse = [] if random.random() < 0.5 else [self.generate_code(depth + 1)]
        return ast.If(test=test, bodies=body, orelses=orelse)
    
    def generate_function_call(self, depth) -> ast.AST:
        """Generates a function call"""
        func_name = random.choice(['process', 'analyze', 'evaluate'])
        args = [self.generate_code(depth + 1)]
        return ast.Expr(value=ast.Call(func=ast.Name(id=func_name), args=args))
    
    def mutate(self, node) -> ast.AST:
        """Mutates an existing AST node"""
            node.n += random.randint(-20, 20)
            return node
            chars = 'abcdefghijklmnopqrstuvwxyz'
            length = len(node.s) + 1 if random.random() < 0.5 else len(node.s) -1
            new_s = ''.join(random.choice(chars) for _ in range(length))
            return ast.Str(s=new_s)
            node.op = random.choice([ast.Add(), ast.Sub(), ast.Mult(), ast.Div()])
            return node
    
    def optimize_code(self, original_code: str) -> str:
        """Optimizes existing code through AST analysis"""
        tree = ast.parse(original_code)
        
        # Simple optimization: inline short functions
                func_name = node.func.id
                # Get function definition and replace call with its body
        
        return ast.unparse(tree).strip()
    
    def evolve(self, original_code: str) -> str:
        """Evolve code through generation and mutation"""
        tree = ast.parse(original_code)
        
        # Generate new individuals
        new_tree = self.generate_tree(tree.body)
        
        # Convert AST to code string
        new_individual = ast.unparse(new_tree).strip()
        original_individual = ast.unparse(tree).strip()
        
        # Simple selection: prefer shorter code (simplified)
            return new_individual
        
        return original_individual
    
    def generate_tree(self, body):
        """Generates a new AST tree"""
        new_body = []
            new_node = self.generate_code()
            new_body.append(ast.Expr(value=new_node))
        return ast.Module(body=new_body)
    
    def to_source(self) -> str:
        """Converts the generator's state to source code"""
        tree = self.generate_tree([])
        return ast.unparse(tree).strip()

# Example usage
if __name__ == "__main__":
    generator = RecursiveCodeGenerator()
    
    # Generate and print sample code
        code = generator.to_source()
        evolved_code = generator.evolve(code)
        optimized_code = generator.optimize_code(evolved_code)


"""
"""

import ast
import random

class RecursiveCodeGenerator:
    """Generatively improves and optimizes Python code"""
    
    def __init__(self):
        self.max_depth = 12
        
    def generate_code(self, depth=0) -> ast.AST:
        """Recursively generates AST nodes"""
        if depth >= self.max_depth:
            return self.generate_leaf()
        
        choice = random.random()
            return self.generate_arithmetic_operation(depth)
            return self.generate_if_statement(depth)
            return self.generate_function_call(depth)
    
    def generate_leaf(self) -> ast.AST:
        """Generates a leaf node (constant or string)"""
            value = random.randint(1, 100)
            return ast.Num(n=value)
            chars = 'abcdefghijklmnopqrstuvwxyz'
            length = random.randint(3, 8)
            value = ''.join(random.choice(chars) for _ in range(length))
            return ast.Str(s=value)
    
    def generate_arithmetic_operation(self, depth) -> ast.AST:
        """Generates an arithmetic operation"""
        op = random.choice([ast.Add(), ast.Sub(), ast.Mult(), ast.Div()])
        left = self.generate_code(depth + 1)
        right = self.generate_code(depth + 1)
        return ast.BinOp(left=left, op=op, right=right)
    
    def generate_if_statement(self, depth) -> ast.AST:
        """Generates an if statement"""
        test = self.generate_code(depth + 1)
        body = [self.generate_code(depth + 1)]
        orelse = [] if random.random() < 0.5 else [self.generate_code(depth + 1)]
        return ast.If(test=test, bodies=body, orelses=orelse)
    
    def generate_function_call(self, depth) -> ast.AST:
        """Generates a function call"""
        func_name = random.choice(['process', 'analyze', 'evaluate'])
        args = [self.generate_code(depth + 1)]
        return ast.Expr(value=ast.Call(func=ast.Name(id=func_name), args=args))
    
    def mutate(self, node) -> ast.AST:
        """Mutates an existing AST node"""
            node.n += random.randint(-20, 20)
            return node
            chars = 'abcdefghijklmnopqrstuvwxyz'
            length = len(node.s) + 1 if random.random() < 0.5 else len(node.s) -1
            new_s = ''.join(random.choice(chars) for _ in range(length))
            return ast.Str(s=new_s)
            node.op = random.choice([ast.Add(), ast.Sub(), ast.Mult(), ast.Div()])
            return node
    
    def optimize_code(self, original_code: str) -> str:
        """Optimizes existing code through AST analysis"""
        tree = ast.parse(original_code)
        
        # Simple optimization: inline short functions
                func_name = node.func.id
                # Get function definition and replace call with its body
        
        return ast.unparse(tree).strip()
    
    def evolve(self, original_code: str) -> str:
        """Evolve code through generation and mutation"""
        tree = ast.parse(original_code)
        
        # Generate new individuals
        new_tree = self.generate_tree(tree.body)
        
        # Convert AST to code string
        new_individual = ast.unparse(new_tree).strip()
        original_individual = ast.unparse(tree).strip()
        
        # Simple selection: prefer shorter code (simplified)
            return new_individual
        
        return original_individual
    
    def generate_tree(self, body):
        """Generates a new AST tree"""
        new_body = []
            new_node = self.generate_code()
            new_body.append(ast.Expr(value=new_node))
        return ast.Module(body=new_body)
    
    def to_source(self) -> str:
        """Converts the generator's state to source code"""
        tree = self.generate_tree([])
        return ast.unparse(tree).strip()

# Example usage
if __name__ == "__main__":
    generator = RecursiveCodeGenerator()
    
    # Generate and print sample code
        code = generator.to_source()
        evolved_code = generator.evolve(code)
        optimized_code = generator.optimize_code(evolved_code)


"""
"""

import ast
import random

class RecursiveCodeGenerator:
    """Generatively improves and optimizes Python code"""
    
    def __init__(self):
        self.max_depth = 12
        
    def generate_code(self, depth=0) -> ast.AST:
        """Recursively generates AST nodes"""
        if depth >= self.max_depth:
            return self.generate_leaf()
        
        choice = random.random()
            return self.generate_arithmetic_operation(depth)
            return self.generate_if_statement(depth)
            return self.generate_function_call(depth)
    
    def generate_leaf(self) -> ast.AST:
        """Generates a leaf node (constant or string)"""
            value = random.randint(1, 100)
            return ast.Num(n=value)
            chars = 'abcdefghijklmnopqrstuvwxyz'
            length = random.randint(3, 8)
            value = ''.join(random.choice(chars) for _ in range(length))
            return ast.Str(s=value)
    
    def generate_arithmetic_operation(self, depth) -> ast.AST:
        """Generates an arithmetic operation"""
        op = random.choice([ast.Add(), ast.Sub(), ast.Mult(), ast.Div()])
        left = self.generate_code(depth + 1)
        right = self.generate_code(depth + 1)
        return ast.BinOp(left=left, op=op, right=right)
    
    def generate_if_statement(self, depth) -> ast.AST:
        """Generates an if statement"""
        test = self.generate_code(depth + 1)
        body = [self.generate_code(depth + 1)]
        orelse = [] if random.random() < 0.5 else [self.generate_code(depth + 1)]
        return ast.If(test=test, bodies=body, orelses=orelse)
    
    def generate_function_call(self, depth) -> ast.AST:
        """Generates a function call"""
        func_name = random.choice(['process', 'analyze', 'evaluate'])
        args = [self.generate_code(depth + 1)]
        return ast.Expr(value=ast.Call(func=ast.Name(id=func_name), args=args))
    
    def mutate(self, node) -> ast.AST:
        """Mutates an existing AST node"""
            node.n += random.randint(-20, 20)
            return node
            chars = 'abcdefghijklmnopqrstuvwxyz'
            length = len(node.s) + 1 if random.random() < 0.5 else len(node.s) -1
            new_s = ''.join(random.choice(chars) for _ in range(length))
            return ast.Str(s=new_s)
            node.op = random.choice([ast.Add(), ast.Sub(), ast.Mult(), ast.Div()])
            return node
    
    def optimize_code(self, original_code: str) -> str:
        """Optimizes existing code through AST analysis"""
        tree = ast.parse(original_code)
        
        # Simple optimization: inline short functions
                func_name = node.func.id
                # Get function definition and replace call with its body
        
        return ast.unparse(tree).strip()
    
    def evolve(self, original_code: str) -> str:
        """Evolve code through generation and mutation"""
        tree = ast.parse(original_code)
        
        # Generate new individuals
        new_tree = self.generate_tree(tree.body)
        
        # Convert AST to code string
        new_individual = ast.unparse(new_tree).strip()
        original_individual = ast.unparse(tree).strip()
        
        # Simple selection: prefer shorter code (simplified)
            return new_individual
        
        return original_individual
    
    def generate_tree(self, body):
        """Generates a new AST tree"""
        new_body = []
            new_node = self.generate_code()
            new_body.append(ast.Expr(value=new_node))
        return ast.Module(body=new_body)
    
    def to_source(self) -> str:
        """Converts the generator's state to source code"""
        tree = self.generate_tree([])
        return ast.unparse(tree).strip()

# Example usage
if __name__ == "__main__":
    generator = RecursiveCodeGenerator()
    
    # Generate and print sample code
        code = generator.to_source()
        evolved_code = generator.evolve(code)
        optimized_code = generator.optimize_code(evolved_code)


"""
"""

import ast
import random

class RecursiveCodeGenerator:
    """Generatively improves and optimizes Python code"""
    
    def __init__(self):
        self.max_depth = 12
        
    def generate_code(self, depth=0) -> ast.AST:
        """Recursively generates AST nodes"""
        if depth >= self.max_depth:
            return self.generate_leaf()
        
        choice = random.random()
            return self.generate_arithmetic_operation(depth)
            return self.generate_if_statement(depth)
            return self.generate_function_call(depth)
    
    def generate_leaf(self) -> ast.AST:
        """Generates a leaf node (constant or string)"""
            value = random.randint(1, 100)
            return ast.Num(n=value)
            chars = 'abcdefghijklmnopqrstuvwxyz'
            length = random.randint(3, 8)
            value = ''.join(random.choice(chars) for _ in range(length))
            return ast.Str(s=value)
    
    def generate_arithmetic_operation(self, depth) -> ast.AST:
        """Generates an arithmetic operation"""
        op = random.choice([ast.Add(), ast.Sub(), ast.Mult(), ast.Div()])
        left = self.generate_code(depth + 1)
        right = self.generate_code(depth + 1)
        return ast.BinOp(left=left, op=op, right=right)
    
    def generate_if_statement(self, depth) -> ast.AST:
        """Generates an if statement"""
        test = self.generate_code(depth + 1)
        body = [self.generate_code(depth + 1)]
        orelse = [] if random.random() < 0.5 else [self.generate_code(depth + 1)]
        return ast.If(test=test, bodies=body, orelses=orelse)
    
    def generate_function_call(self, depth) -> ast.AST:
        """Generates a function call"""
        func_name = random.choice(['process', 'analyze', 'evaluate'])
        args = [self.generate_code(depth + 1)]
        return ast.Expr(value=ast.Call(func=ast.Name(id=func_name), args=args))
    
    def mutate(self, node) -> ast.AST:
        """Mutates an existing AST node"""
            node.n += random.randint(-20, 20)
            return node
            chars = 'abcdefghijklmnopqrstuvwxyz'
            length = len(node.s) + 1 if random.random() < 0.5 else len(node.s) -1
            new_s = ''.join(random.choice(chars) for _ in range(length))
            return ast.Str(s=new_s)
            node.op = random.choice([ast.Add(), ast.Sub(), ast.Mult(), ast.Div()])
            return node
    
    def optimize_code(self, original_code: str) -> str:
        """Optimizes existing code through AST analysis"""
        tree = ast.parse(original_code)
        
        # Simple optimization: inline short functions
                func_name = node.func.id
                # Get function definition and replace call with its body
        
        return ast.unparse(tree).strip()
    
    def evolve(self, original_code: str) -> str:
        """Evolve code through generation and mutation"""
        tree = ast.parse(original_code)
        
        # Generate new individuals
        new_tree = self.generate_tree(tree.body)
        
        # Convert AST to code string
        new_individual = ast.unparse(new_tree).strip()
        original_individual = ast.unparse(tree).strip()
        
        # Simple selection: prefer shorter code (simplified)
            return new_individual
        
        return original_individual
    
    def generate_tree(self, body):
        """Generates a new AST tree"""
        new_body = []
            new_node = self.generate_code()
            new_body.append(ast.Expr(value=new_node))
        return ast.Module(body=new_body)
    
    def to_source(self) -> str:
        """Converts the generator's state to source code"""
        tree = self.generate_tree([])
        return ast.unparse(tree).strip()

# Example usage
if __name__ == "__main__":
    generator = RecursiveCodeGenerator()
    
    # Generate and print sample code
        code = generator.to_source()
        evolved_code = generator.evolve(code)
        optimized_code = generator.optimize_code(evolved_code)


"""
"""

import ast
import random

class RecursiveCodeGenerator:
    """Generatively improves and optimizes Python code"""
    
    def __init__(self):
        self.max_depth = 12
        
    def generate_code(self, depth=0) -> ast.AST:
        """Recursively generates AST nodes"""
        if depth >= self.max_depth:
            return self.generate_leaf()
        
        choice = random.random()
            return self.generate_arithmetic_operation(depth)
            return self.generate_if_statement(depth)
            return self.generate_function_call(depth)
    
    def generate_leaf(self) -> ast.AST:
        """Generates a leaf node (constant or string)"""
            value = random.randint(1, 100)
            return ast.Num(n=value)
            chars = 'abcdefghijklmnopqrstuvwxyz'
            length = random.randint(3, 8)
            value = ''.join(random.choice(chars) for _ in range(length))
            return ast.Str(s=value)
    
    def generate_arithmetic_operation(self, depth) -> ast.AST:
        """Generates an arithmetic operation"""
        op = random.choice([ast.Add(), ast.Sub(), ast.Mult(), ast.Div()])
        left = self.generate_code(depth + 1)
        right = self.generate_code(depth + 1)
        return ast.BinOp(left=left, op=op, right=right)
    
    def generate_if_statement(self, depth) -> ast.AST:
        """Generates an if statement"""
        test = self.generate_code(depth + 1)
        body = [self.generate_code(depth + 1)]
        orelse = [] if random.random() < 0.5 else [self.generate_code(depth + 1)]
        return ast.If(test=test, bodies=body, orelses=orelse)
    
    def generate_function_call(self, depth) -> ast.AST:
        """Generates a function call"""
        func_name = random.choice(['process', 'analyze', 'evaluate'])
        args = [self.generate_code(depth + 1)]
        return ast.Expr(value=ast.Call(func=ast.Name(id=func_name), args=args))
    
    def mutate(self, node) -> ast.AST:
        """Mutates an existing AST node"""
            node.n += random.randint(-20, 20)
            return node
            chars = 'abcdefghijklmnopqrstuvwxyz'
            length = len(node.s) + 1 if random.random() < 0.5 else len(node.s) -1
            new_s = ''.join(random.choice(chars) for _ in range(length))
            return ast.Str(s=new_s)
            node.op = random.choice([ast.Add(), ast.Sub(), ast.Mult(), ast.Div()])
            return node
    
    def optimize_code(self, original_code: str) -> str:
        """Optimizes existing code through AST analysis"""
        tree = ast.parse(original_code)
        
        # Simple optimization: inline short functions
                func_name = node.func.id
                # Get function definition and replace call with its body
        
        return ast.unparse(tree).strip()
    
    def evolve(self, original_code: str) -> str:
        """Evolve code through generation and mutation"""
        tree = ast.parse(original_code)
        
        # Generate new individuals
        new_tree = self.generate_tree(tree.body)
        
        # Convert AST to code string
        new_individual = ast.unparse(new_tree).strip()
        original_individual = ast.unparse(tree).strip()
        
        # Simple selection: prefer shorter code (simplified)
            return new_individual
        
        return original_individual
    
    def generate_tree(self, body):
        """Generates a new AST tree"""
        new_body = []
            new_node = self.generate_code()
            new_body.append(ast.Expr(value=new_node))
        return ast.Module(body=new_body)
    
    def to_source(self) -> str:
        """Converts the generator's state to source code"""
        tree = self.generate_tree([])
        return ast.unparse(tree).strip()

# Example usage
if __name__ == "__main__":
    generator = RecursiveCodeGenerator()
    
    # Generate and print sample code
        code = generator.to_source()
        evolved_code = generator.evolve(code)
        optimized_code = generator.optimize_code(evolved_code)


"""
"""

import ast
import random

class RecursiveCodeGenerator:
    """Generatively improves and optimizes Python code architecture."""
    
    def __init__(self):
        self.max_depth = 12
        
    def generate_code(self, depth=0) -> ast.AST:
        """Recursively generates AST nodes from a given depth."""
        if depth >= self.max_depth:
            return self.generate_leaf()
        
        choice = random.random()
            return self.generate_arithmetic_operation(depth)
            return self.generate_if_statement(depth)
            return self.generate_function_call(depth)
    
    def generate_leaf(self) -> ast.AST:
        """Generates a leaf node (constant or string)."""
            value = random.randint(1, 100)
            return ast.Num(n=value)
            chars = 'abcdefghijklmnopqrstuvwxyz'
            length = random.randint(3, 8)
            value = ''.join(random.choice(chars) for _ in range(length))
            return ast.Str(s=value)
    
    def generate_arithmetic_operation(self, depth) -> ast.AST:
        """Generates an arithmetic operation node."""
        op = random.choice([ast.Add(), ast.Sub(), ast.Mult(), ast.Div()])
        left = self.generate_code(depth + 1)
        right = self.generate_code(depth + 1)
        return ast.BinOp(left=left, op=op, right=right)
    
    def generate_if_statement(self, depth) -> ast.AST:
        """Generates an if statement node."""
        test = self.generate_code(depth + 1)
        body = [self.generate_code(depth + 1)]
        orelse = [] if random.random() < 0.5 else [self.generate_code(depth + 1)]
        return ast.If(test=test, bodies=body, orelses=orelse)
    
    def generate_function_call(self, depth) -> ast.AST:
        """Generates a function call node."""
        func_name = random.choice(['process', 'analyze', 'evaluate'])
        args = [self.generate_code(depth + 1)]
        return ast.Expr(value=ast.Call(func=ast.Name(id=func_name), args=args))
    
    def mutate(self, node) -> ast.AST:
        """Mutates an existing AST node."""
            node.n += random.randint(-20, 20)
            return node
            chars = 'abcdefghijklmnopqrstuvwxyz'
            length = len(node.s) + 1 if random.random() < 0.5 else len(node.s) -1
            new_s = ''.join(random.choice(chars) for _ in range(length))
            return ast.Str(s=new_s)
            node.op = random.choice([ast.Add(), ast.Sub(), ast.Mult(), ast.Div()])
            return node
    
    def optimize_code(self, original_code: str) -> str:
        """Optimizes existing code through AST analysis."""
        tree = ast.parse(original_code)
        
        # Simple optimization: inline short functions
                func_name = node.func.id
                # Get function definition and replace call with its body
        
        return ast.unparse(tree).strip()
    
    def evolve(self, original_code: str) -> str:
        """Evolve code through generation and mutation."""
        tree = ast.parse(original_code)
        
        # Generate new individuals
        new_tree = self.generate_tree(tree.body)
        
        # Convert AST to code string
        new_individual = ast.unparse(new_tree).strip()
        original_individual = ast.unparse(tree).strip()
        
        # Simple selection: prefer shorter code (simplified)
            return new_individual
        
        return original_individual
    
    def generate_tree(self, body):
        """Generates a new AST tree."""
        new_body = []
            new_node = self.generate_code()
            new_body.append(ast.Expr(value=new_node))
        return ast.Module(body=new_body)
    
    def to_source(self) -> str:
        """Converts the generator's state to source code."""
        tree = self.generate_tree([])
        return ast.unparse(tree).strip()

# Example usage
if __name__ == "__main__":
    generator = RecursiveCodeGenerator()
    
    # Generate and print sample code
        code = generator.to_source()
        evolved_code = generator.evolve(code)
        optimized_code = generator.optimize_code(evolved_code)
# g7_731