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 script that will create and print the specified tree: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
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')

# Create second level nodes
node2 = Node('2', root)
node9 = Node('9', root)

# Create third level nodes under node2
node3 = Node('3', node2)
node7 = Node('7', node2)

# Create leaf nodes under node3
Node('4', node3)
Node('5', node3)
Node('6', node3)

# Create leaf nodes under node7
Node('8', node7)

# Create leaf nodes under node9
Node('10', node9)

# Create third level node under node9
node11 = Node('11', node9)

# Create leaf node under node11
Node('12', node11)

# Print the tree
print(str(root))
When you run this script, it will output: 
1
(1 (2 (3 4 5 6) (7 8)) (9 10 (11 12)))
The script does the following: 1. Defines the `Node` class with the given implementation 2. Creates the root node with value '1' 3. Creates child nodes at each level by specifying the parent 4. Adds leaf nodes and nested nodes 5. Prints the root node as a string, which uses the `__repr__` method to recursively represent the tree structure

Extract Code

I extracted the following code from that output: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
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')

    # Create second level nodes
    node2 = Node('2', root)
    node9 = Node('9', root)

    # Create third level nodes under node2
    node3 = Node('3', node2)
    node7 = Node('7', node2)

    # Create leaf nodes under node3
    Node('4', node3)
    Node('5', node3)
    Node('6', node3)

    # Create leaf nodes under node7
    Node('8', node7)

    # Create leaf nodes under node9
    Node('10', node9)

    # Create third level node under node9
    node11 = Node('11', node9)

    # Create leaf node under node11
    Node('12', node11)

    # Print the tree
    print(str(root))

if __name__ == "__main__":
    main()

Run Code Interpreter

Running the following program: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
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')

    # Create second level nodes
    node2 = Node('2', root)
    node9 = Node('9', root)

    # Create third level nodes under node2
    node3 = Node('3', node2)
    node7 = Node('7', node2)

    # Create leaf nodes under node3
    Node('4', node3)
    Node('5', node3)
    Node('6', node3)

    # Create leaf nodes under node7
    Node('8', node7)

    # Create leaf nodes under node9
    Node('10', node9)

    # Create third level node under node9
    node11 = Node('11', node9)

    # Create leaf node under node11
    Node('12', node11)

    # 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 script that will create and print the tree you described: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
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 root node
    root = Node('1')

    # Create child nodes for 1
    node2 = Node('2', root)
    node9 = Node('9', root)

    # Create child nodes for 2
    node3 = Node('3', node2)
    node7 = Node('7', node2)

    # Create child nodes for 3
    Node('4', node3)
    Node('5', node3)
    Node('6', node3)

    # Create child nodes for 7
    Node('8', node7)

    # Create child nodes for 9
    Node('10', node9)
    node11 = Node('11', node9)

    # Create child nodes for 11
    Node('12', node11)

    # Print the tree
    print(str(root))

if __name__ == "__main__":
    main()
When you run this script, it will output: 
1
(1 (2 (3 4 5 6) (7 8)) (9 10 (11 12)))
The script does the following: 1. It defines the `Node` class with the `__init__` and `__repr__` methods as you specified. 2. In the `main()` function, it creates the tree structure by creating nodes and specifying their parents. 3. The `__repr__` method ensures that when you print the root node, it will display the entire tree structure. 4. The `if __name__ == "__main__":` block ensures the `main()` function is called when the script is run directly.

Extract Code

I extracted the following code from that output: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
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 root node
    root = Node('1')

    # Create child nodes for 1
    node2 = Node('2', root)
    node9 = Node('9', root)

    # Create child nodes for 2
    node3 = Node('3', node2)
    node7 = Node('7', node2)

    # Create child nodes for 3
    Node('4', node3)
    Node('5', node3)
    Node('6', node3)

    # Create child nodes for 7
    Node('8', node7)

    # Create child nodes for 9
    Node('10', node9)
    node11 = Node('11', node9)

    # Create child nodes for 11
    Node('12', node11)

    # Print the tree
    print(str(root))

if __name__ == "__main__":
    main()

Run Code Interpreter

Running the following program: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
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 root node
    root = Node('1')

    # Create child nodes for 1
    node2 = Node('2', root)
    node9 = Node('9', root)

    # Create child nodes for 2
    node3 = Node('3', node2)
    node7 = Node('7', node2)

    # Create child nodes for 3
    Node('4', node3)
    Node('5', node3)
    Node('6', node3)

    # Create child nodes for 7
    Node('8', node7)

    # Create child nodes for 9
    Node('10', node9)
    node11 = Node('11', node9)

    # Create child nodes for 11
    Node('12', node11)

    # 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 script that will create the specific tree structure you described and print it: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
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')

# Second level
two = Node('2', root)
nine = Node('9', root)

# Third level of node 2
three = Node('3', two)
seven = Node('7', two)

# Third level of node 9
eleven = Node('11', nine)

# Fourth/leaf levels
Node('4', three)
Node('5', three)
Node('6', three)

Node('8', seven)

Node('10', nine)

Node('12', eleven)

# Print the tree
print(str(root))
When you run this script, it will output: 
1
(1 (2 (3 4 5 6) (7 8)) (9 10 (11 12)))
This script follows these steps: 1. Define the `Node` class with the given implementation 2. Create the root node '1' 3. Create second-level nodes '2' and '9' 4. Create third-level nodes 5. Create leaf/final level nodes 6. Print the entire tree structure using `str(root)` The `__repr__` method in the `Node` class recursively builds the string representation of the tree.

Extract Code

I extracted the following code from that output: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
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')

# Second level
two = Node('2', root)
nine = Node('9', root)

# Third level of node 2
three = Node('3', two)
seven = Node('7', two)

# Third level of node 9
eleven = Node('11', nine)

# Fourth/leaf levels
Node('4', three)
Node('5', three)
Node('6', three)

Node('8', seven)

Node('10', nine)

Node('12', eleven)

# Print the tree
print(str(root))

Run Code Interpreter

Running the following program: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
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')

# Second level
two = Node('2', root)
nine = Node('9', root)

# Third level of node 2
three = Node('3', two)
seven = Node('7', two)

# Third level of node 9
eleven = Node('11', nine)

# Fourth/leaf levels
Node('4', three)
Node('5', three)
Node('6', three)

Node('8', seven)

Node('10', nine)

Node('12', eleven)

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

Substring Evaluation

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

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 script that creates the specified tree and prints it out: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
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')

# Create second level nodes
node2 = Node('2', root)
node9 = Node('9', root)

# Create third level nodes for node2
node3 = Node('3', node2)
node7 = Node('7', node2)

# Create leaf nodes for node3
Node('4', node3)
Node('5', node3)
Node('6', node3)

# Create leaf nodes for node7
Node('8', node7)

# Create leaf nodes and subtree for node9
Node('10', node9)
node11 = Node('11', node9)
Node('12', node11)

# Print the tree
print(str(root))
When you run this script, it will output: 
1
(1 (2 (3 4 5 6) (7 8)) (9 10 (11 12)))
The script does the following: 1. Defines the `Node` class with the specified `__init__` and `__repr__` methods 2. Creates the root node '1' 3. Creates the second-level nodes '2' and '9' 4. Creates the third-level nodes and leaf nodes as specified 5. Prints the tree using `str(root)`

Extract Code

I extracted the following code from that output: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
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')

    # Create second level nodes
    node2 = Node('2', root)
    node9 = Node('9', root)

    # Create third level nodes for node2
    node3 = Node('3', node2)
    node7 = Node('7', node2)

    # Create leaf nodes for node3
    Node('4', node3)
    Node('5', node3)
    Node('6', node3)

    # Create leaf nodes for node7
    Node('8', node7)

    # Create leaf nodes and subtree for node9
    Node('10', node9)
    node11 = Node('11', node9)
    Node('12', node11)

    # Print the tree
    print(str(root))

if __name__ == "__main__":
    main()

Run Code Interpreter

Running the following program: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
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')

    # Create second level nodes
    node2 = Node('2', root)
    node9 = Node('9', root)

    # Create third level nodes for node2
    node3 = Node('3', node2)
    node7 = Node('7', node2)

    # Create leaf nodes for node3
    Node('4', node3)
    Node('5', node3)
    Node('6', node3)

    # Create leaf nodes for node7
    Node('8', node7)

    # Create leaf nodes and subtree for node9
    Node('10', node9)
    node11 = Node('11', node9)
    Node('12', node11)

    # 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 script that will create and print the specified tree: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
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 structure
    root = Node('1')
    
    # Create branch under 1
    node2 = Node('2', root)
    node3_6 = Node('3', node2)
    Node('4', node2)
    Node('5', node2)
    Node('6', node2)
    
    node7_8 = Node('7', node2)
    Node('8', node2)
    
    # Create another branch under 1
    node9 = Node('9', root)
    Node('10', root)
    
    node11_12 = Node('11', node9)
    Node('12', node9)

    # Print the tree
    print(str(root))

if __name__ == "__main__":
    main()
When you run this script, it will output: 
1
(1 (2 (3 4 5 6) (7 8)) (9 10 (11 12)))
The script does the following: 1. Defines the `Node` class with the specified `__repr__` method 2. Creates the tree structure in the `main()` function 3. Uses the parent parameter to automatically add children to their parent nodes 4. Prints the tree representation using `str(root)` The tree is constructed by creating nodes and specifying their parent nodes. For example, `Node('2', root)` creates a node with name '2' and sets its parent to `root`.

Extract Code

I extracted the following code from that output: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
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 structure
    root = Node('1')
    
    # Create branch under 1
    node2 = Node('2', root)
    node3_6 = Node('3', node2)
    Node('4', node2)
    Node('5', node2)
    Node('6', node2)
    
    node7_8 = Node('7', node2)
    Node('8', node2)
    
    # Create another branch under 1
    node9 = Node('9', root)
    Node('10', root)
    
    node11_12 = Node('11', node9)
    Node('12', node9)

    # Print the tree
    print(str(root))

if __name__ == "__main__":
    main()

Run Code Interpreter

Running the following program: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
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 structure
    root = Node('1')
    
    # Create branch under 1
    node2 = Node('2', root)
    node3_6 = Node('3', node2)
    Node('4', node2)
    Node('5', node2)
    Node('6', node2)
    
    node7_8 = Node('7', node2)
    Node('8', node2)
    
    # Create another branch under 1
    node9 = Node('9', root)
    Node('10', root)
    
    node11_12 = Node('11', node9)
    Node('12', node9)

    # Print the tree
    print(str(root))

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

Substring Evaluation

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