Initial Query

class Node: def __init__(self, name, parent=None): self.name = name self.parent = parent self.children = [] if parent: self.parent.children.append(self) def __repr__(self): if self.children == []: return self.name return '('+self.name + ' ' + ' '.join(repr(c) for c in self.children)+')' Write a complete python file that will print the tree (1 (2 (3 4 5 6) (7 8)) (9 10 (11 12))) Call the root of the tree 'root'. Then print out str(root).

LLM Generation

Query

class Node: def __init__(self, name, parent=None): self.name = name self.parent = parent self.children = [] if parent: self.parent.children.append(self) def __repr__(self): if self.children == []: return self.name return '('+self.name + ' ' + ' '.join(repr(c) for c in self.children)+')' Write a complete python file that will print the tree (1 (2 (3 4 5 6) (7 8)) (9 10 (11 12))) Call the root of the tree 'root'. Then print out str(root).

Output

Here's a complete Python file that creates and prints the specified tree: 

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class Node:
    def __init__(self, name, parent=None):
        self.name = name
        self.parent = parent
        self.children = []
        if parent:
            self.parent.children.append(self)
            
    def __repr__(self):
        if self.children == []:
            return self.name
        return '('+self.name + ' ' + ' '.join(repr(c) for c in self.children)+')'

# Create the nodes
root = Node('1')
n2 = Node('2', root)
n3 = Node('3', n2)
n4 = Node('4', n3)
n5 = Node('5', n3)
n6 = Node('6', n3)
n7 = Node('7', n2)
n8 = Node('8', n7)
n9 = Node('9', root)
n10 = Node('10', n9)
n11 = Node('11', n9)
n12 = Node('12', n11)

# Print the tree
print(str(root))
This code will create the tree structure: 
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       1
    /     \
   2       9
  / \    / | \
 3   7  10 11 12
/|\   \
4 5 6   8
When run, it will output: 
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(1 (2 (3 4 5 6) (7 8)) (9 10 (11 12)))

Extract Code

I extracted the following code from that output: 

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class Node:
    def __init__(self, name, parent=None):
        self.name = name
        self.parent = parent
        self.children = []
        if parent:
            self.parent.children.append(self)
            
    def __repr__(self):
        if self.children == []:
            return self.name
        return '('+self.name + ' ' + ' '.join(repr(c) for c in self.children)+')'

def main():
    # Create the nodes
    root = Node('1')
    n2 = Node('2', root)
    n3 = Node('3', n2)
    n4 = Node('4', n3)
    n5 = Node('5', n3)
    n6 = Node('6', n3)
    n7 = Node('7', n2)
    n8 = Node('8', n7)
    n9 = Node('9', root)
    n10 = Node('10', n9)
    n11 = Node('11', n9)
    n12 = Node('12', n11)

    # Print the tree
    print(str(root))

if __name__ == "__main__":
    main()

Run Code Interpreter

Running the following program: 

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class Node:
    def __init__(self, name, parent=None):
        self.name = name
        self.parent = parent
        self.children = []
        if parent:
            self.parent.children.append(self)
            
    def __repr__(self):
        if self.children == []:
            return self.name
        return '('+self.name + ' ' + ' '.join(repr(c) for c in self.children)+')'

def main():
    # Create the nodes
    root = Node('1')
    n2 = Node('2', root)
    n3 = Node('3', n2)
    n4 = Node('4', n3)
    n5 = Node('5', n3)
    n6 = Node('6', n3)
    n7 = Node('7', n2)
    n8 = Node('8', n7)
    n9 = Node('9', root)
    n10 = Node('10', n9)
    n11 = Node('11', n9)
    n12 = Node('12', n11)

    # Print the tree
    print(str(root))

if __name__ == "__main__":
    main()
And got the output: (1 (2 (3 4 5 6) (7 8)) (9 10 (11 12)))

Substring Evaluation

Testing if the previous output contains the string (1 (2 (3 4 5 6) (7 8)) (9 10 (11 12))): True

Initial Query

class Node: def __init__(self, name, parent=None): self.name = name self.parent = parent self.children = [] if parent: self.parent.children.append(self) def __repr__(self): if self.children == []: return self.name return '('+self.name + ' ' + ' '.join(repr(c) for c in self.children)+')' Write a complete python file that will print the tree (1 (2 (3 4 5 6) (7 8)) (9 10 (11 12))) Call the root of the tree 'root'. Then print out str(root).

LLM Generation

Query

class Node: def __init__(self, name, parent=None): self.name = name self.parent = parent self.children = [] if parent: self.parent.children.append(self) def __repr__(self): if self.children == []: return self.name return '('+self.name + ' ' + ' '.join(repr(c) for c in self.children)+')' Write a complete python file that will print the tree (1 (2 (3 4 5 6) (7 8)) (9 10 (11 12))) Call the root of the tree 'root'. Then print out str(root).

Output

Here's a complete Python file that creates and prints the specified tree: 

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class Node:
    def __init__(self, name, parent=None):
        self.name = name
        self.parent = parent
        self.children = []
        if parent:
            self.parent.children.append(self)
            
    def __repr__(self):
        if self.children == []:
            return self.name
        return '('+self.name + ' ' + ' '.join(repr(c) for c in self.children)+')'

# Create the tree
root = Node('1')
n2 = Node('2', root)
n3 = Node('3', n2)
Node('4', n3)
Node('5', n3)
Node('6', n3)
n7 = Node('7', n2)
Node('8', n7)
n9 = Node('9', root)
Node('10', n9)
n11 = Node('11', n9)
Node('12', n11)

# Print the tree
print(str(root))
When run, this code will output: 
1
(1 (2 (3 4 5 6) (7 8)) (9 10 (11 12)))
The code first creates all the nodes with their parent relationships. Each node is connected to its parent when created, and the parent-child relationships automatically build the tree structure. Finally, it prints the string representation of the root node, which recursively includes all of its children in the specified format.

Extract Code

I extracted the following code from that output: 

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class Node:
    def __init__(self, name, parent=None):
        self.name = name
        self.parent = parent
        self.children = []
        if parent:
            self.parent.children.append(self)
            
    def __repr__(self):
        if self.children == []:
            return self.name
        return '('+self.name + ' ' + ' '.join(repr(c) for c in self.children)+')'

def main():
    # Create the tree
    root = Node('1')
    n2 = Node('2', root)
    n3 = Node('3', n2)
    Node('4', n3)
    Node('5', n3)
    Node('6', n3)
    n7 = Node('7', n2)
    Node('8', n7)
    n9 = Node('9', root)
    Node('10', n9)
    n11 = Node('11', n9)
    Node('12', n11)

    # Print the tree
    print(str(root))

if __name__ == "__main__":
    main()

Run Code Interpreter

Running the following program: 

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class Node:
    def __init__(self, name, parent=None):
        self.name = name
        self.parent = parent
        self.children = []
        if parent:
            self.parent.children.append(self)
            
    def __repr__(self):
        if self.children == []:
            return self.name
        return '('+self.name + ' ' + ' '.join(repr(c) for c in self.children)+')'

def main():
    # Create the tree
    root = Node('1')
    n2 = Node('2', root)
    n3 = Node('3', n2)
    Node('4', n3)
    Node('5', n3)
    Node('6', n3)
    n7 = Node('7', n2)
    Node('8', n7)
    n9 = Node('9', root)
    Node('10', n9)
    n11 = Node('11', n9)
    Node('12', n11)

    # Print the tree
    print(str(root))

if __name__ == "__main__":
    main()
And got the output: (1 (2 (3 4 5 6) (7 8)) (9 10 (11 12)))

Substring Evaluation

Testing if the previous output contains the string (1 (2 (3 4 5 6) (7 8)) (9 10 (11 12))): True

Initial Query

class Node: def __init__(self, name, parent=None): self.name = name self.parent = parent self.children = [] if parent: self.parent.children.append(self) def __repr__(self): if self.children == []: return self.name return '('+self.name + ' ' + ' '.join(repr(c) for c in self.children)+')' Write a complete python file that will print the tree (1 (2 (3 4 5 6) (7 8)) (9 10 (11 12))) Call the root of the tree 'root'. Then print out str(root).

LLM Generation

Query

class Node: def __init__(self, name, parent=None): self.name = name self.parent = parent self.children = [] if parent: self.parent.children.append(self) def __repr__(self): if self.children == []: return self.name return '('+self.name + ' ' + ' '.join(repr(c) for c in self.children)+')' Write a complete python file that will print the tree (1 (2 (3 4 5 6) (7 8)) (9 10 (11 12))) Call the root of the tree 'root'. Then print out str(root).

Output

Here's a complete Python file that creates and prints the specified tree: 

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class Node:
    def __init__(self, name, parent=None):
        self.name = name
        self.parent = parent
        self.children = []
        if parent:
            self.parent.children.append(self)
            
    def __repr__(self):
        if self.children == []:
            return self.name
        return '('+self.name + ' ' + ' '.join(repr(c) for c in self.children)+')'

# Create the tree nodes
root = Node('1')
n2 = Node('2', root)
n3 = Node('3', n2)
n4 = Node('4', n3)
n5 = Node('5', n3)
n6 = Node('6', n3)
n7 = Node('7', n2)
n8 = Node('8', n7)
n9 = Node('9', root)
n10 = Node('10', n9)
n11 = Node('11', n9)
n12 = Node('12', n11)

# Print the tree
print(str(root))
When you run this code, it will print: 
1
(1 (2 (3 4 5 6) (7 8)) (9 10 (11 12)))
The code first defines the Node class with the given implementation, then creates each node in the tree by specifying its value and parent. The nodes automatically get added to their parent's children list through the Node constructor. Finally, it prints the string representation of the root node, which recursively includes all the nodes in the tree in the specified format.

Extract Code

I extracted the following code from that output: 

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class Node:
    def __init__(self, name, parent=None):
        self.name = name
        self.parent = parent
        self.children = []
        if parent:
            self.parent.children.append(self)
            
    def __repr__(self):
        if self.children == []:
            return self.name
        return '('+self.name + ' ' + ' '.join(repr(c) for c in self.children)+')'

# Create the tree nodes
root = Node('1')
n2 = Node('2', root)
n3 = Node('3', n2)
n4 = Node('4', n3)
n5 = Node('5', n3)
n6 = Node('6', n3)
n7 = Node('7', n2)
n8 = Node('8', n7)
n9 = Node('9', root)
n10 = Node('10', n9)
n11 = Node('11', n9)
n12 = Node('12', n11)

# Print the tree
print(str(root))

Run Code Interpreter

Running the following program: 

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class Node:
    def __init__(self, name, parent=None):
        self.name = name
        self.parent = parent
        self.children = []
        if parent:
            self.parent.children.append(self)
            
    def __repr__(self):
        if self.children == []:
            return self.name
        return '('+self.name + ' ' + ' '.join(repr(c) for c in self.children)+')'

# Create the tree nodes
root = Node('1')
n2 = Node('2', root)
n3 = Node('3', n2)
n4 = Node('4', n3)
n5 = Node('5', n3)
n6 = Node('6', n3)
n7 = Node('7', n2)
n8 = Node('8', n7)
n9 = Node('9', root)
n10 = Node('10', n9)
n11 = Node('11', n9)
n12 = Node('12', n11)

# Print the tree
print(str(root))
And got the output: (1 (2 (3 4 5 6) (7 8)) (9 10 (11 12)))

Substring Evaluation

Testing if the previous output contains the string (1 (2 (3 4 5 6) (7 8)) (9 10 (11 12))): True

Initial Query

class Node: def __init__(self, name, parent=None): self.name = name self.parent = parent self.children = [] if parent: self.parent.children.append(self) def __repr__(self): if self.children == []: return self.name return '('+self.name + ' ' + ' '.join(repr(c) for c in self.children)+')' Write a complete python file that will print the tree (1 (2 (3 4 5 6) (7 8)) (9 10 (11 12))) Call the root of the tree 'root'. Then print out str(root).

LLM Generation

Query

class Node: def __init__(self, name, parent=None): self.name = name self.parent = parent self.children = [] if parent: self.parent.children.append(self) def __repr__(self): if self.children == []: return self.name return '('+self.name + ' ' + ' '.join(repr(c) for c in self.children)+')' Write a complete python file that will print the tree (1 (2 (3 4 5 6) (7 8)) (9 10 (11 12))) Call the root of the tree 'root'. Then print out str(root).

Output

Here's a complete Python file that creates and prints the specified tree: 

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class Node:
    def __init__(self, name, parent=None):
        self.name = name
        self.parent = parent
        self.children = []
        if parent:
            self.parent.children.append(self)
            
    def __repr__(self):
        if self.children == []:
            return self.name
        return '('+self.name + ' ' + ' '.join(repr(c) for c in self.children)+')'

# Create all nodes
root = Node('1')
n2 = Node('2', root)
n3 = Node('3', n2)
n4 = Node('4', n3)
n5 = Node('5', n3)
n6 = Node('6', n3)
n7 = Node('7', n2)
n8 = Node('8', n7)
n9 = Node('9', root)
n10 = Node('10', n9)
n11 = Node('11', n9)
n12 = Node('12', n11)

# Print the tree
print(str(root))
When you run this code, it will output: 
1
(1 (2 (3 4 5 6) (7 8)) (9 10 (11 12)))
The code first creates all the nodes with their parent-child relationships. Each node is created with its name and its parent node. The Node class's constructor automatically adds each new node as a child to its parent. The tree is structured as follows: - Root node '1' has children '2' and '9' - Node '2' has children '3' and '7' - Node '3' has children '4', '5', and '6' - Node '7' has child '8' - Node '9' has children '10' and '11' - Node '11' has child '12' When we print str(root), it uses the __repr__ method to create a string representation of the entire tree structure.

Extract Code

I extracted the following code from that output: 

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class Node:
    def __init__(self, name, parent=None):
        self.name = name
        self.parent = parent
        self.children = []
        if parent:
            self.parent.children.append(self)
            
    def __repr__(self):
        if self.children == []:
            return self.name
        return '('+self.name + ' ' + ' '.join(repr(c) for c in self.children)+')'

if __name__ == '__main__':
    # Create all nodes
    root = Node('1')
    n2 = Node('2', root)
    n3 = Node('3', n2)
    n4 = Node('4', n3)
    n5 = Node('5', n3)
    n6 = Node('6', n3)
    n7 = Node('7', n2)
    n8 = Node('8', n7)
    n9 = Node('9', root)
    n10 = Node('10', n9)
    n11 = Node('11', n9)
    n12 = Node('12', n11)

    # Print the tree
    print(str(root))

Run Code Interpreter

Running the following program: 

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class Node:
    def __init__(self, name, parent=None):
        self.name = name
        self.parent = parent
        self.children = []
        if parent:
            self.parent.children.append(self)
            
    def __repr__(self):
        if self.children == []:
            return self.name
        return '('+self.name + ' ' + ' '.join(repr(c) for c in self.children)+')'

if __name__ == '__main__':
    # Create all nodes
    root = Node('1')
    n2 = Node('2', root)
    n3 = Node('3', n2)
    n4 = Node('4', n3)
    n5 = Node('5', n3)
    n6 = Node('6', n3)
    n7 = Node('7', n2)
    n8 = Node('8', n7)
    n9 = Node('9', root)
    n10 = Node('10', n9)
    n11 = Node('11', n9)
    n12 = Node('12', n11)

    # Print the tree
    print(str(root))
And got the output: (1 (2 (3 4 5 6) (7 8)) (9 10 (11 12)))

Substring Evaluation

Testing if the previous output contains the string (1 (2 (3 4 5 6) (7 8)) (9 10 (11 12))): True

Initial Query

class Node: def __init__(self, name, parent=None): self.name = name self.parent = parent self.children = [] if parent: self.parent.children.append(self) def __repr__(self): if self.children == []: return self.name return '('+self.name + ' ' + ' '.join(repr(c) for c in self.children)+')' Write a complete python file that will print the tree (1 (2 (3 4 5 6) (7 8)) (9 10 (11 12))) Call the root of the tree 'root'. Then print out str(root).

LLM Generation

Query

class Node: def __init__(self, name, parent=None): self.name = name self.parent = parent self.children = [] if parent: self.parent.children.append(self) def __repr__(self): if self.children == []: return self.name return '('+self.name + ' ' + ' '.join(repr(c) for c in self.children)+')' Write a complete python file that will print the tree (1 (2 (3 4 5 6) (7 8)) (9 10 (11 12))) Call the root of the tree 'root'. Then print out str(root).

Output

Here's a complete Python file that creates and prints the specified tree: 

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class Node:
    def __init__(self, name, parent=None):
        self.name = name
        self.parent = parent
        self.children = []
        if parent:
            self.parent.children.append(self)
            
    def __repr__(self):
        if self.children == []:
            return self.name
        return '('+self.name + ' ' + ' '.join(repr(c) for c in self.children)+')'

# Create the tree
root = Node('1')
n2 = Node('2', root)
n3 = Node('3', n2)
Node('4', n3)
Node('5', n3)
Node('6', n3)
n7 = Node('7', n2)
Node('8', n7)
n9 = Node('9', root)
Node('10', n9)
n11 = Node('11', n9)
Node('12', n11)

# Print the tree
print(str(root))
When run, this code will output: 
1
(1 (2 (3 4 5 6) (7 8)) (9 10 (11 12)))
The code creates each node specifying its value and its parent. The tree is built from top to bottom, with each node being connected to its parent when it's created. The root node has no parent, while all other nodes specify their parent as the second argument in their constructor.

Extract Code

I extracted the following code from that output: 

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class Node:
    def __init__(self, name, parent=None):
        self.name = name
        self.parent = parent
        self.children = []
        if parent:
            self.parent.children.append(self)
            
    def __repr__(self):
        if self.children == []:
            return self.name
        return '('+self.name + ' ' + ' '.join(repr(c) for c in self.children)+')'

def main():
    # Create the tree
    root = Node('1')
    n2 = Node('2', root)
    n3 = Node('3', n2)
    Node('4', n3)
    Node('5', n3)
    Node('6', n3)
    n7 = Node('7', n2)
    Node('8', n7)
    n9 = Node('9', root)
    Node('10', n9)
    n11 = Node('11', n9)
    Node('12', n11)

    # Print the tree
    print(str(root))

if __name__ == "__main__":
    main()

Run Code Interpreter

Running the following program: 

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class Node:
    def __init__(self, name, parent=None):
        self.name = name
        self.parent = parent
        self.children = []
        if parent:
            self.parent.children.append(self)
            
    def __repr__(self):
        if self.children == []:
            return self.name
        return '('+self.name + ' ' + ' '.join(repr(c) for c in self.children)+')'

def main():
    # Create the tree
    root = Node('1')
    n2 = Node('2', root)
    n3 = Node('3', n2)
    Node('4', n3)
    Node('5', n3)
    Node('6', n3)
    n7 = Node('7', n2)
    Node('8', n7)
    n9 = Node('9', root)
    Node('10', n9)
    n11 = Node('11', n9)
    Node('12', n11)

    # Print the tree
    print(str(root))

if __name__ == "__main__":
    main()
And got the output: (1 (2 (3 4 5 6) (7 8)) (9 10 (11 12)))

Substring Evaluation

Testing if the previous output contains the string (1 (2 (3 4 5 6) (7 8)) (9 10 (11 12))): True