Implement find_level, which takes a tree t and an integer level and returns a list of all the values that have depth level. If no such values exist, return the empty list. For a refresher on the depth of a node, check out here.
Implement find_level, which takes a tree t and an integer level and returns a list of all the values that have depth level. If no such values exist, return the empty list. For a refresher on the depth of a node, check out 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
Problem 1PE
Related questions
Question
![### Python Code: Tree Data Structure
This section presents a Python implementation of a simple tree data structure. The code defines a `Tree` class with methods for initialization, representation, and string conversion.
```python
class Tree:
def __init__(self, value, branches=()):
self.value = value
for branch in branches:
assert isinstance(branch, Tree)
self.branches = list(branches)
def __repr__(self):
if self.branches:
branches_str = ', ' + repr(self.branches)
else:
branches_str = ''
return 'Tree({0}{1})'.format(self.value, branches_str)
def __str__(self):
def print_tree(t, indent=0):
tree_str = ' ' * indent + str(t.value) + "\n"
for b in t.branches:
tree_str += print_tree(b, indent + 1)
return tree_str
```
### Explanation
- **Class Definition:**
- `Tree`: Represents a tree node with a value and optional branches (children), initialized as an empty tuple by default.
- **Initialization Method:**
- `__init__(self, value, branches=())`: Initializes a tree node with a provided value and optional list of branches. It ensures all branches are instances of the `Tree` class.
- **Representation Method:**
- `__repr__(self)`: Returns a string representing the tree, displaying its value and branches.
- **String Conversion Method:**
- `__str__(self)`: Provides a formatted string representation of the tree, with each level of the tree indented for clarity.
The `print_tree` function within the `__str__` method helps recursively construct a visual representation of the tree structure, enhancing readability and providing insights into the hierarchical relationships within the tree.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2dbec8a5-7cbc-4cb4-99f8-f776f520cd0c%2F3f3d53ce-41a9-4d52-85a3-44501464e59b%2Ffhanjb8_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Python Code: Tree Data Structure
This section presents a Python implementation of a simple tree data structure. The code defines a `Tree` class with methods for initialization, representation, and string conversion.
```python
class Tree:
def __init__(self, value, branches=()):
self.value = value
for branch in branches:
assert isinstance(branch, Tree)
self.branches = list(branches)
def __repr__(self):
if self.branches:
branches_str = ', ' + repr(self.branches)
else:
branches_str = ''
return 'Tree({0}{1})'.format(self.value, branches_str)
def __str__(self):
def print_tree(t, indent=0):
tree_str = ' ' * indent + str(t.value) + "\n"
for b in t.branches:
tree_str += print_tree(b, indent + 1)
return tree_str
```
### Explanation
- **Class Definition:**
- `Tree`: Represents a tree node with a value and optional branches (children), initialized as an empty tuple by default.
- **Initialization Method:**
- `__init__(self, value, branches=())`: Initializes a tree node with a provided value and optional list of branches. It ensures all branches are instances of the `Tree` class.
- **Representation Method:**
- `__repr__(self)`: Returns a string representing the tree, displaying its value and branches.
- **String Conversion Method:**
- `__str__(self)`: Provides a formatted string representation of the tree, with each level of the tree indented for clarity.
The `print_tree` function within the `__str__` method helps recursively construct a visual representation of the tree structure, enhancing readability and providing insights into the hierarchical relationships within the tree.
![**Question 3: Find Level**
Implement `find_level`, which takes a tree `t` and an integer `level` and returns a list of all the values that have depth `level`. If no such values exist, return the empty list. For a refresher on the depth of a node, check out [here](#).
```python
def find_level(t, level):
"""
>>> t = Tree(1, [Tree(2, [Tree(4), Tree(5)]), Tree(6, [Tree(7)])])
>>> find_level(t, 2)
[4, 5, 7]
>>> find_level(t, 1)
[2, 6]
>>> find_level(t, 5)
[]
"""
"*** YOUR CODE HERE ***"
```
In this section, you are tasked with completing the function `find_level` to identify elements at a specific depth in a tree data structure. The examples show how the function should behave given a tree and a specified depth level.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2dbec8a5-7cbc-4cb4-99f8-f776f520cd0c%2F3f3d53ce-41a9-4d52-85a3-44501464e59b%2Fc0ht03_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Question 3: Find Level**
Implement `find_level`, which takes a tree `t` and an integer `level` and returns a list of all the values that have depth `level`. If no such values exist, return the empty list. For a refresher on the depth of a node, check out [here](#).
```python
def find_level(t, level):
"""
>>> t = Tree(1, [Tree(2, [Tree(4), Tree(5)]), Tree(6, [Tree(7)])])
>>> find_level(t, 2)
[4, 5, 7]
>>> find_level(t, 1)
[2, 6]
>>> find_level(t, 5)
[]
"""
"*** YOUR CODE HERE ***"
```
In this section, you are tasked with completing the function `find_level` to identify elements at a specific depth in a tree data structure. The examples show how the function should behave given a tree and a specified depth level.
Expert Solution
![](/static/compass_v2/shared-icons/check-mark.png)
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 3 steps with 1 images
![Blurred answer](/static/compass_v2/solution-images/blurred-answer.jpg)
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.Recommended textbooks for you
![Database System Concepts](https://www.bartleby.com/isbn_cover_images/9780078022159/9780078022159_smallCoverImage.jpg)
Database System Concepts
Computer Science
ISBN:
9780078022159
Author:
Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:
McGraw-Hill Education
![Starting Out with Python (4th Edition)](https://www.bartleby.com/isbn_cover_images/9780134444321/9780134444321_smallCoverImage.gif)
Starting Out with Python (4th Edition)
Computer Science
ISBN:
9780134444321
Author:
Tony Gaddis
Publisher:
PEARSON
![Digital Fundamentals (11th Edition)](https://www.bartleby.com/isbn_cover_images/9780132737968/9780132737968_smallCoverImage.gif)
Digital Fundamentals (11th Edition)
Computer Science
ISBN:
9780132737968
Author:
Thomas L. Floyd
Publisher:
PEARSON
![Database System Concepts](https://www.bartleby.com/isbn_cover_images/9780078022159/9780078022159_smallCoverImage.jpg)
Database System Concepts
Computer Science
ISBN:
9780078022159
Author:
Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:
McGraw-Hill Education
![Starting Out with Python (4th Edition)](https://www.bartleby.com/isbn_cover_images/9780134444321/9780134444321_smallCoverImage.gif)
Starting Out with Python (4th Edition)
Computer Science
ISBN:
9780134444321
Author:
Tony Gaddis
Publisher:
PEARSON
![Digital Fundamentals (11th Edition)](https://www.bartleby.com/isbn_cover_images/9780132737968/9780132737968_smallCoverImage.gif)
Digital Fundamentals (11th Edition)
Computer Science
ISBN:
9780132737968
Author:
Thomas L. Floyd
Publisher:
PEARSON
![C How to Program (8th Edition)](https://www.bartleby.com/isbn_cover_images/9780133976892/9780133976892_smallCoverImage.gif)
C How to Program (8th Edition)
Computer Science
ISBN:
9780133976892
Author:
Paul J. Deitel, Harvey Deitel
Publisher:
PEARSON
![Database Systems: Design, Implementation, & Manag…](https://www.bartleby.com/isbn_cover_images/9781337627900/9781337627900_smallCoverImage.gif)
Database Systems: Design, Implementation, & Manag…
Computer Science
ISBN:
9781337627900
Author:
Carlos Coronel, Steven Morris
Publisher:
Cengage Learning
![Programmable Logic Controllers](https://www.bartleby.com/isbn_cover_images/9780073373843/9780073373843_smallCoverImage.gif)
Programmable Logic Controllers
Computer Science
ISBN:
9780073373843
Author:
Frank D. Petruzella
Publisher:
McGraw-Hill Education