Skip to content

Adding the file of Fibonacci_Heap in DSA Section #9252

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
wants to merge 4 commits into from
Closed

Adding the file of Fibonacci_Heap in DSA Section #9252

wants to merge 4 commits into from

Conversation

imSanko
Copy link
Contributor

@imSanko imSanko commented Oct 1, 2023

#8725

Describe your change:

  • Add an algorithm?
  • Fix a bug or typo in an existing algorithm?
  • Documentation change?

Checklist:

  • I have read CONTRIBUTING.md.
  • This pull request is all my own work -- I have not plagiarized.
  • I know that pull requests will not be merged if they fail the automated tests.
  • This PR only changes one algorithm file. To ease review, please open separate PRs for separate algorithms.
  • All new Python files are placed inside an existing directory.
  • All filenames are in all lowercase characters with no spaces or dashes.
  • All functions and variable names follow Python naming conventions.
  • All function parameters and return values are annotated with Python type hints.
  • All functions have doctests that pass the automated testing.
  • All new algorithms include at least one URL that points to Wikipedia or another similar explanation.
  • If this pull request resolves one or more open issues then the description above includes the issue number(s) with a closing keyword: "Fixes Create Machine Learning - Sentiment Analysis.py #9059".

@algorithms-keeper algorithms-keeper bot added require tests Tests [doctest/unittest/pytest] are required require type hints https://docs.python.org/3/library/typing.html labels Oct 1, 2023
Copy link

@algorithms-keeper algorithms-keeper bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Click here to look at the relevant links ⬇️

🔗 Relevant Links

Repository:

Python:

Automated review generated by algorithms-keeper. If there's any problem regarding this review, please open an issue about it.

algorithms-keeper commands and options

algorithms-keeper actions can be triggered by commenting on this PR:

  • @algorithms-keeper review to trigger the checks for only added pull request files
  • @algorithms-keeper review-all to trigger the checks for all the pull request files, including the modified files. As we cannot post review comments on lines not part of the diff, this command will post all the messages in one comment.

NOTE: Commands are in beta and so this feature is restricted only to a member or owner of the organization.

self.parent = None

class FibonacciHeap:
def __init__(self):

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Please provide return type hint for the function: __init__. If the function does not return a value, please provide the type hint as: def function() -> None:

self.least = None
self.count = 0

def insert(self, key):

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Please provide return type hint for the function: insert. If the function does not return a value, please provide the type hint as: def function() -> None:

As there is no test file in this pull request nor any test function or class in the file data_structures/heap/fibonacci_heap.py, please provide doctest for the function insert

Please provide type hint for the parameter: key

if self.least is None or key < self.least.key:
self.least = new_node

def extract_min(self):

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Please provide return type hint for the function: extract_min. If the function does not return a value, please provide the type hint as: def function() -> None:

As there is no test file in this pull request nor any test function or class in the file data_structures/heap/fibonacci_heap.py, please provide doctest for the function extract_min


return min_node.key

def consolidate(self):

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Please provide return type hint for the function: consolidate. If the function does not return a value, please provide the type hint as: def function() -> None:

As there is no test file in this pull request nor any test function or class in the file data_structures/heap/fibonacci_heap.py, please provide doctest for the function consolidate


self.trees = new_trees

def decrease_key(self, node, new_key):

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Please provide return type hint for the function: decrease_key. If the function does not return a value, please provide the type hint as: def function() -> None:

As there is no test file in this pull request nor any test function or class in the file data_structures/heap/fibonacci_heap.py, please provide doctest for the function decrease_key

Please provide type hint for the parameter: node

Please provide type hint for the parameter: new_key

self.cut(node)
self.cascading_cut(node.parent)

def cut(self, node):

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Please provide return type hint for the function: cut. If the function does not return a value, please provide the type hint as: def function() -> None:

As there is no test file in this pull request nor any test function or class in the file data_structures/heap/fibonacci_heap.py, please provide doctest for the function cut

Please provide type hint for the parameter: node

node.degree = 0
node.marked = False

def cascading_cut(self, node):

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Please provide return type hint for the function: cascading_cut. If the function does not return a value, please provide the type hint as: def function() -> None:

As there is no test file in this pull request nor any test function or class in the file data_structures/heap/fibonacci_heap.py, please provide doctest for the function cascading_cut

Please provide type hint for the parameter: node

@algorithms-keeper algorithms-keeper bot added the awaiting reviews This PR is ready to be reviewed label Oct 1, 2023
Copy link
Contributor Author

@imSanko imSanko left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

class FibonacciNode:
def init(self, key: int):
self.key = key
self.children = []
self.marked = False
self.degree = 0
self.parent = None

class FibonacciHeap:
def init(self) -> None:
self.trees = []
self.least = None
self.count = 0

def insert(self, key: int) -> None:
    new_node = FibonacciNode(key)
    self.trees.append(new_node)
    self.count += 1

    if self.least is None or key < self.least.key:
        self.least = new_node

def extract_min(self) -> int:
    if self.count == 0:
        raise ValueError("Heap is empty")

    min_node = self.least
    self.trees.remove(min_node)

    for child in min_node.children:
        child.parent = None
        self.trees.append(child)

    self.count -= 1

    if self.least is min_node:
        self.least = None
        for node in self.trees:
            if self.least is None or node.key < self.least.key:
                self.least = node

    self.consolidate()

    return min_node.key

def consolidate(self) -> None:
    degree_counts = [0] * len(self.trees)

    for node in self.trees:
        degree_counts[node.degree] += 1

    new_trees = []
    for i in range(len(degree_counts)):
        while degree_counts[i] > 1:
            degree_counts[i] -= 1

            node1 = self.trees.pop()
            node2 = self.trees.pop()

            if node1.key < node2.key:
                new_node = node1
                new_node.children.append(node2)
            else:
                new_node = node2
                new_node.children.append(node1)

            new_node.degree += 1
            new_trees.append(new_node)

    self.trees = new_trees

def decrease_key(self, node: FibonacciNode, new_key: int) -> None:
    if new_key > node.key:
        raise ValueError("New key must be less than or equal to the old key")

    node.key = new_key

    if node == self.least:
        self.least = node

    while node.parent is not None and node.key < node.parent.key:
        self.cut(node)
        self.cascading_cut(node.parent)

def cut(self, node: FibonacciNode) -> None:
    node.parent.children.remove(node)
    node.parent = None
    self.trees.append(node)

    node.degree = 0
    node.marked = False

def cascading_cut(self, node: FibonacciNode) -> None:
    if node.marked:
        self.cut(node)

        if node.parent is not None:
            node.parent.marked = True

Copy link

@algorithms-keeper algorithms-keeper bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Click here to look at the relevant links ⬇️

🔗 Relevant Links

Repository:

Python:

Automated review generated by algorithms-keeper. If there's any problem regarding this review, please open an issue about it.

algorithms-keeper commands and options

algorithms-keeper actions can be triggered by commenting on this PR:

  • @algorithms-keeper review to trigger the checks for only added pull request files
  • @algorithms-keeper review-all to trigger the checks for all the pull request files, including the modified files. As we cannot post review comments on lines not part of the diff, this command will post all the messages in one comment.

NOTE: Commands are in beta and so this feature is restricted only to a member or owner of the organization.

@@ -0,0 +1,99 @@
class FibonacciNode:
def __init__(self, key):

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Please provide return type hint for the function: __init__. If the function does not return a value, please provide the type hint as: def function() -> None:

Please provide type hint for the parameter: key



class FibonacciHeap:
def __init__(self):

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Please provide return type hint for the function: __init__. If the function does not return a value, please provide the type hint as: def function() -> None:

self.least = None
self.count = 0

def insert(self, key):

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Please provide return type hint for the function: insert. If the function does not return a value, please provide the type hint as: def function() -> None:

As there is no test file in this pull request nor any test function or class in the file data_structures/heap/fibonacci_heap.py, please provide doctest for the function insert

Please provide type hint for the parameter: key

if self.least is None or key < self.least.key:
self.least = new_node

def extract_min(self):

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Please provide return type hint for the function: extract_min. If the function does not return a value, please provide the type hint as: def function() -> None:

As there is no test file in this pull request nor any test function or class in the file data_structures/heap/fibonacci_heap.py, please provide doctest for the function extract_min


return min_node.key

def consolidate(self):

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Please provide return type hint for the function: consolidate. If the function does not return a value, please provide the type hint as: def function() -> None:

As there is no test file in this pull request nor any test function or class in the file data_structures/heap/fibonacci_heap.py, please provide doctest for the function consolidate


self.trees = new_trees

def decrease_key(self, node, new_key):

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Please provide return type hint for the function: decrease_key. If the function does not return a value, please provide the type hint as: def function() -> None:

As there is no test file in this pull request nor any test function or class in the file data_structures/heap/fibonacci_heap.py, please provide doctest for the function decrease_key

Please provide type hint for the parameter: node

Please provide type hint for the parameter: new_key

self.cut(node)
self.cascading_cut(node.parent)

def cut(self, node):

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Please provide return type hint for the function: cut. If the function does not return a value, please provide the type hint as: def function() -> None:

As there is no test file in this pull request nor any test function or class in the file data_structures/heap/fibonacci_heap.py, please provide doctest for the function cut

Please provide type hint for the parameter: node

node.degree = 0
node.marked = False

def cascading_cut(self, node):

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Please provide return type hint for the function: cascading_cut. If the function does not return a value, please provide the type hint as: def function() -> None:

As there is no test file in this pull request nor any test function or class in the file data_structures/heap/fibonacci_heap.py, please provide doctest for the function cascading_cut

Please provide type hint for the parameter: node

@imSanko imSanko closed this by deleting the head repository Oct 1, 2023
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
awaiting reviews This PR is ready to be reviewed require tests Tests [doctest/unittest/pytest] are required require type hints https://docs.python.org/3/library/typing.html
Projects
None yet
Development

Successfully merging this pull request may close these issues.

1 participant