12:34 A cs61a.org Implement add_d_leaves, a function that takes in a Tree instance t and a number v. II

Database System Concepts
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ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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**Implementing `add_d_leaves` Function for Trees**

The goal is to implement `add_d_leaves`, a function that takes in a `Tree` instance `t` and a number `v`.

### Understanding Tree Depth

- The *depth* of a node in `t` is defined as the number of edges from the root to that node.
- The root of the tree has a depth of 0.

### Function Objective

For each node in the tree:
- Add `d` leaves to the node, where `d` is its depth.
- Each added leaf should be labeled with `v`.
- If the node at this depth already has branches, append the new leaves to the end of that list.

**Example:**
- At depth 1, add 1 leaf labeled `v`.
- At depth 2, add 2 leaves, and so on.

### Visualization

- A tree `t` is shown with nodes 1 connected to branches 3 and 2, with further nodes extending downward.
- After applying `add_d_leaves` with `v` as 5, the tree extends further as described by the function.

### Diagram Explanation

1. **Initial Tree**
   - Root node `1` has two branches: `3` and `2`.
   - Branch `3` further extends to `4`.

2. **Modified Tree with `add_d_leaves` (v = 5)**
   - Node `1` at depth 0: No additional leaves.
   - Node `3` at depth 1: Adds one leaf labeled 5.
   - Node `2` at depth 1: Adds one leaf labeled 5.
   - Node `4` at depth 2: Adds two leaves labeled 5.

**Hint:** Use a helper function to keep track of the depth!

### Sample Code Structure

```python
def add_d_leaves(t, v):
    """Add d leaves containing v to each node, where d is the depth."""
    # Function logic here
```

This approach utilizes a helper function to manage the depth as the tree is traversed, ensuring that the correct number of leaves are added based on the node's depth.
Transcribed Image Text:**Implementing `add_d_leaves` Function for Trees** The goal is to implement `add_d_leaves`, a function that takes in a `Tree` instance `t` and a number `v`. ### Understanding Tree Depth - The *depth* of a node in `t` is defined as the number of edges from the root to that node. - The root of the tree has a depth of 0. ### Function Objective For each node in the tree: - Add `d` leaves to the node, where `d` is its depth. - Each added leaf should be labeled with `v`. - If the node at this depth already has branches, append the new leaves to the end of that list. **Example:** - At depth 1, add 1 leaf labeled `v`. - At depth 2, add 2 leaves, and so on. ### Visualization - A tree `t` is shown with nodes 1 connected to branches 3 and 2, with further nodes extending downward. - After applying `add_d_leaves` with `v` as 5, the tree extends further as described by the function. ### Diagram Explanation 1. **Initial Tree** - Root node `1` has two branches: `3` and `2`. - Branch `3` further extends to `4`. 2. **Modified Tree with `add_d_leaves` (v = 5)** - Node `1` at depth 0: No additional leaves. - Node `3` at depth 1: Adds one leaf labeled 5. - Node `2` at depth 1: Adds one leaf labeled 5. - Node `4` at depth 2: Adds two leaves labeled 5. **Hint:** Use a helper function to keep track of the depth! ### Sample Code Structure ```python def add_d_leaves(t, v): """Add d leaves containing v to each node, where d is the depth.""" # Function logic here ``` This approach utilizes a helper function to manage the depth as the tree is traversed, ensuring that the correct number of leaves are added based on the node's depth.
```python
def add_d_leaves(t, v):
    """Add d leaves containing v to each node in t."""
    
    >>> t_one_to_four = Tree(1, [Tree(2), Tree(3), Tree(4)])
    >>> print(t_one_to_four)
    1
      2
      3
      4
    >>> add_d_leaves(t_one_to_four, 5)
    >>> print(t_one_to_four)
    1
      2
        5
      3
        5
      4
        5

    >>> t1 = Tree(1, [Tree(3)])
    >>> add_d_leaves(t1, 4)
    >>> t1
    Tree(1, [Tree(3, [Tree(4)])])
    >>> t2 = Tree(2, [Tree(5), Tree(6)])
    >>> t3 = Tree(3, [t1, Tree(0), t2])
    >>> print(t3)
    3
      1
        3
          4
      0
      2
        5
        6
    >>> add_d_leaves(t3, 10)
    >>> print(t3)
    3
      1
        3
          4
            10
          10
            10
      0
        10
      2
        5
        6
          10
          10
            10

    "*** YOUR CODE HERE ***"
```

**Explanation:**

This Python code defines a function `add_d_leaves` that is supposed to add a specified number of leaves containing a given value `v` to each node in a tree `t`.

- **Example 1:**
  - Before calling the function, the `t_one_to_four` tree is structured with a root node `1`, and child nodes `2`, `3`, and `4`.
  - After calling `add_d_leaves(t_one_to_four, 5)`, a leaf node containing `5` is added to each existing child node.

- **Example 2:** 
  - A tree `t1` is initialized with a root `1` and a child `3`. 
  - After `add_d_leaves(t1, 4)`, a leaf
Transcribed Image Text:```python def add_d_leaves(t, v): """Add d leaves containing v to each node in t.""" >>> t_one_to_four = Tree(1, [Tree(2), Tree(3), Tree(4)]) >>> print(t_one_to_four) 1 2 3 4 >>> add_d_leaves(t_one_to_four, 5) >>> print(t_one_to_four) 1 2 5 3 5 4 5 >>> t1 = Tree(1, [Tree(3)]) >>> add_d_leaves(t1, 4) >>> t1 Tree(1, [Tree(3, [Tree(4)])]) >>> t2 = Tree(2, [Tree(5), Tree(6)]) >>> t3 = Tree(3, [t1, Tree(0), t2]) >>> print(t3) 3 1 3 4 0 2 5 6 >>> add_d_leaves(t3, 10) >>> print(t3) 3 1 3 4 10 10 10 0 10 2 5 6 10 10 10 "*** YOUR CODE HERE ***" ``` **Explanation:** This Python code defines a function `add_d_leaves` that is supposed to add a specified number of leaves containing a given value `v` to each node in a tree `t`. - **Example 1:** - Before calling the function, the `t_one_to_four` tree is structured with a root node `1`, and child nodes `2`, `3`, and `4`. - After calling `add_d_leaves(t_one_to_four, 5)`, a leaf node containing `5` is added to each existing child node. - **Example 2:** - A tree `t1` is initialized with a root `1` and a child `3`. - After `add_d_leaves(t1, 4)`, a leaf
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