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Added Edmonds Blossom Algorithm #12043 #12044

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TarunVishwakarma1
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Describe your change:

This PR implements the Edmonds' Blossom Algorithm in the EdmondsBlossomAlgorithm class, which efficiently finds the maximum matching in general graphs, including those with odd-length cycles. The implementation includes methods for handling augmenting paths, updating matchings, and contracting blossoms.

Maximum Matching: Introduces the maximumMatching method, which takes a list of edges and the total number of vertices as input and returns a list of matched pairs of vertices.
Augmenting Path Search: Utilizes a breadth-first search (BFS) approach to locate augmenting paths within the graph, ensuring that it can handle complex graph structures effectively.
Blossom Contraction: Implements mechanisms for contracting blossoms to manage odd-length cycles, which is a key aspect of the algorithm's efficiency.
Detailed Comments: Each method and critical section of the code are thoroughly commented to ensure clarity and understanding of the algorithm's functionality.

  • Add an algorithm?
  • Fix a bug or typo in an existing algorithm?
  • Add or change doctests? -- Note: Please avoid changing both code and tests in a single pull request.
  • 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 Add Edmonds' Blossom Algorithm for Maximum Matching in Graphs #12043".

@algorithms-keeper algorithms-keeper bot added require descriptive names This PR needs descriptive function and/or variable names require tests Tests [doctest/unittest/pytest] are required require type hints https://docs.python.org/3/library/typing.html labels Oct 13, 2024
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class EdmondsBlossomAlgorithm:

@staticmethod
def maximum_matching(edges, vertex_count):

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Please provide return type hint for the function: maximum_matching. 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 graphs/edmond_blossom_algorithm.py, please provide doctest for the function maximum_matching

Please provide type hint for the parameter: edges

Please provide type hint for the parameter: vertex_count

return matching_result

@staticmethod
def update_matching(match, parent, u):

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Please provide return type hint for the function: update_matching. 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 graphs/edmond_blossom_algorithm.py, please provide doctest for the function update_matching

Please provide type hint for the parameter: match

Please provide type hint for the parameter: parent

Please provide type hint for the parameter: u

Please provide descriptive name for the parameter: u

u = next_node

@staticmethod
def find_base(base, parent, u, v):

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Please provide return type hint for the function: find_base. 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 graphs/edmond_blossom_algorithm.py, please provide doctest for the function find_base

Please provide type hint for the parameter: base

Please provide type hint for the parameter: parent

Please provide type hint for the parameter: u

Please provide descriptive name for the parameter: u

Please provide type hint for the parameter: v

Please provide descriptive name for the parameter: v

current_v = parent[current_v]

@staticmethod
def contract_blossom(blossom_data):

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Please provide return type hint for the function: contract_blossom. 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 graphs/edmond_blossom_algorithm.py, please provide doctest for the function contract_blossom

Please provide type hint for the parameter: blossom_data

"""
A helper class to encapsulate auxiliary data used during blossom contraction.
"""
def __init__(self, queue, parent, base, in_blossom, match, in_queue):

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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: queue

Please provide type hint for the parameter: parent

Please provide type hint for the parameter: base

Please provide type hint for the parameter: in_blossom

Please provide type hint for the parameter: match

Please provide type hint for the parameter: in_queue

"""
A helper class to store parameters necessary for blossom contraction.
"""
def __init__(self, aux_data, u, v, lca):

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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: aux_data

Please provide type hint for the parameter: u

Please provide descriptive name for the parameter: u

Please provide type hint for the parameter: v

Please provide descriptive name for the parameter: v

Please provide type hint for the parameter: lca

@algorithms-keeper algorithms-keeper bot added the awaiting reviews This PR is ready to be reviewed label Oct 13, 2024
@algorithms-keeper algorithms-keeper bot added the tests are failing Do not merge until tests pass label Oct 13, 2024
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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.


class EdmondsBlossomAlgorithm:
@staticmethod
def maximum_matching(edges, vertex_count):

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: maximum_matching. 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 graphs/edmond_blossom_algorithm.py, please provide doctest for the function maximum_matching

Please provide type hint for the parameter: edges

Please provide type hint for the parameter: vertex_count

return matching_result

@staticmethod
def update_matching(match, parent, u):

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: update_matching. 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 graphs/edmond_blossom_algorithm.py, please provide doctest for the function update_matching

Please provide type hint for the parameter: match

Please provide type hint for the parameter: parent

Please provide type hint for the parameter: u

Please provide descriptive name for the parameter: u

u = next_node

@staticmethod
def find_base(base, parent, u, v):

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: find_base. 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 graphs/edmond_blossom_algorithm.py, please provide doctest for the function find_base

Please provide type hint for the parameter: base

Please provide type hint for the parameter: parent

Please provide type hint for the parameter: u

Please provide descriptive name for the parameter: u

Please provide type hint for the parameter: v

Please provide descriptive name for the parameter: v

current_v = parent[current_v]

@staticmethod
def contract_blossom(blossom_data):

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

Please provide return type hint for the function: contract_blossom. 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 graphs/edmond_blossom_algorithm.py, please provide doctest for the function contract_blossom

Please provide type hint for the parameter: blossom_data

A helper class to encapsulate auxiliary data used during blossom contraction.
"""

def __init__(self, queue, parent, base, in_blossom, match, in_queue):

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: queue

Please provide type hint for the parameter: parent

Please provide type hint for the parameter: base

Please provide type hint for the parameter: in_blossom

Please provide type hint for the parameter: match

Please provide type hint for the parameter: in_queue

A helper class to store parameters necessary for blossom contraction.
"""

def __init__(self, aux_data, u, v, lca):

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: aux_data

Please provide type hint for the parameter: u

Please provide descriptive name for the parameter: u

Please provide type hint for the parameter: v

Please provide descriptive name for the parameter: v

Please provide type hint for the parameter: lca

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Add Edmonds' Blossom Algorithm for Maximum Matching in Graphs
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