Write a function cumulative_mul that mutates the Tree t so that each node's label becomes the product of its label and all labels in the subtrees rooted at the node. def cumulative_mul(t): II II || """Mutates t so that each node's label the corresponding subtree rooted at t. >>> t = Tree(1, [Tree(3, [Tree(5)]), Tr >>> cumulative_mul(t) >>> t Tree(105, [Tree(15, [Tree(5)]), Tree(7) IL |||| "*** YOUR CODE HERE ***"

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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### Function Definition: `cumulative_mul`

This task involves implementing a function `cumulative_mul` to traverse and mutate a tree data structure. Each node's label must be updated to the product of its label and all labels in the subtrees rooted at that node.

#### Code Structure:

```python
def cumulative_mul(t):
    """Mutates t so that each node's label is the product of all labels in the corresponding subtree rooted at t."""
    # Example of using the Tree class
    >>> t = Tree(1, [Tree(3, [Tree(5)]), Tree(7)])
    >>> cumulative_mul(t)
    >>> t
    Tree(105, [Tree(15, [Tree(5)]), Tree(7)])
    
    """ YOUR CODE HERE """
```

#### Key Points:

- **Functionality**: The function should iterate over each node of the tree.
- **Mutation**: It mutates the tree in place, altering each node's label.
- **Example**:
  - Input Tree: `Tree(1, [Tree(3, [Tree(5)]), Tree(7)])`
  - After running `cumulative_mul`, the tree should be mutated to `Tree(105, [Tree(15, [Tree(5)]), Tree(7)])`.

#### Implementation Steps:
1. **Base Case**: If the tree has no children, the label remains the same.
2. **Recursive Case**: For trees with children:
    - Recursively update each child.
    - Multiply the node’s label by each child’s label to update the current node’s label.
   
These updates ensure that each node accumulates all product values from its subtree. The placeholder `"*** YOUR CODE HERE ***"` indicates where the function’s logic must be implemented.
Transcribed Image Text:### Function Definition: `cumulative_mul` This task involves implementing a function `cumulative_mul` to traverse and mutate a tree data structure. Each node's label must be updated to the product of its label and all labels in the subtrees rooted at that node. #### Code Structure: ```python def cumulative_mul(t): """Mutates t so that each node's label is the product of all labels in the corresponding subtree rooted at t.""" # Example of using the Tree class >>> t = Tree(1, [Tree(3, [Tree(5)]), Tree(7)]) >>> cumulative_mul(t) >>> t Tree(105, [Tree(15, [Tree(5)]), Tree(7)]) """ YOUR CODE HERE """ ``` #### Key Points: - **Functionality**: The function should iterate over each node of the tree. - **Mutation**: It mutates the tree in place, altering each node's label. - **Example**: - Input Tree: `Tree(1, [Tree(3, [Tree(5)]), Tree(7)])` - After running `cumulative_mul`, the tree should be mutated to `Tree(105, [Tree(15, [Tree(5)]), Tree(7)])`. #### Implementation Steps: 1. **Base Case**: If the tree has no children, the label remains the same. 2. **Recursive Case**: For trees with children: - Recursively update each child. - Multiply the node’s label by each child’s label to update the current node’s label. These updates ensure that each node accumulates all product values from its subtree. The placeholder `"*** YOUR CODE HERE ***"` indicates where the function’s logic must be implemented.
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