First Implementation of Johnson Graph Algorithm by joelkurien · Pull Request #12281 · TheAlgorithms/Python

joelkurien · 2024-10-25T16:01:01Z

Describe your change:

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?

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algorithms-keeper · 2024-10-25T16:10:41Z

+        self.graph[u].append((v, w))
+
+    # perform a dijkstra algorithm on a directed graph
+    def dijkstra(self, s):


Please provide return type hint for the function: dijkstra. 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/johnson_graph.py, please provide doctest for the function dijkstra

Please provide type hint for the parameter: s

Please provide descriptive name for the parameter: s

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algorithms-keeper · 2024-10-25T16:18:49Z

+        self.graph[u] = []
+
+    # assign weights for each edges formed of the directed graph
+    def add_edge(self, u, v, w) -> None:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function add_edge

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: w

Please provide descriptive name for the parameter: w

algorithms-keeper · 2024-10-25T16:18:49Z

+        self.graph[u].append((v, w))
+
+    # perform a dijkstra algorithm on a directed graph
+    def dijkstra(self, s) -> dict:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function dijkstra

Please provide type hint for the parameter: s

Please provide descriptive name for the parameter: s

algorithms-keeper · 2024-10-25T16:18:49Z

+        return distances
+
+    #carry out the bellman ford algorithm for a node and estimate its distance vector
+    def bellman_ford(self, s) -> dict: 


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function bellman_ford

Please provide type hint for the parameter: s

Please provide descriptive name for the parameter: s

algorithms-keeper · 2024-10-25T16:18:49Z

+    # perform the johnson algorithm to handle the negative weights that
+    # could not be handled by either the dijkstra
+    #or the bellman ford algorithm efficiently
+    def johnson_algo(self) -> dict:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function johnson_algo

for more information, see https://pre-commit.ci

…o joel_graph

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pytest

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algorithms-keeper · 2024-10-25T16:23:35Z

+        self.graph: Dict[str, int] = {}
+
+    # add vertices for a graph
+    def add_vertices(self, u) -> None:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function add_vertices

Please provide type hint for the parameter: u

Please provide descriptive name for the parameter: u

algorithms-keeper · 2024-10-25T16:23:35Z

+        self.graph[u] = []
+
+    # assign weights for each edges formed of the directed graph
+    def add_edge(self, u, v, w) -> None:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function add_edge

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: w

Please provide descriptive name for the parameter: w

algorithms-keeper · 2024-10-25T16:23:35Z

+        self.graph[u].append((v, w))
+
+    # perform a dijkstra algorithm on a directed graph
+    def dijkstra(self, s) -> dict:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function dijkstra

Please provide type hint for the parameter: s

Please provide descriptive name for the parameter: s

algorithms-keeper · 2024-10-25T16:23:35Z

+        return distances
+
+    # carry out the bellman ford algorithm for a node and estimate its distance vector
+    def bellman_ford(self, s) -> dict:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function bellman_ford

Please provide type hint for the parameter: s

Please provide descriptive name for the parameter: s

algorithms-keeper · 2024-10-25T16:23:35Z

+    # perform the johnson algorithm to handle the negative weights that
+    # could not be handled by either the dijkstra
+    # or the bellman ford algorithm efficiently
+    def johnson_algo(self) -> dict:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function johnson_algo

for more information, see https://pre-commit.ci

…o joel_graph

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pytest

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algorithms-keeper · 2024-10-25T16:26:11Z

+        self.graph: dict[str, int] = {}
+
+    # add vertices for a graph
+    def add_vertices(self, u) -> None:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function add_vertices

Please provide type hint for the parameter: u

Please provide descriptive name for the parameter: u

algorithms-keeper · 2024-10-25T16:26:11Z

+        self.graph[u] = []
+
+    # assign weights for each edges formed of the directed graph
+    def add_edge(self, u, v, w) -> None:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function add_edge

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: w

Please provide descriptive name for the parameter: w

algorithms-keeper · 2024-10-25T16:26:11Z

+        self.graph[u].append((v, w))
+
+    # perform a dijkstra algorithm on a directed graph
+    def dijkstra(self, s) -> dict:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function dijkstra

Please provide type hint for the parameter: s

Please provide descriptive name for the parameter: s

algorithms-keeper · 2024-10-25T16:26:11Z

+        return distances
+
+    # carry out the bellman ford algorithm for a node and estimate its distance vector
+    def bellman_ford(self, s) -> dict:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function bellman_ford

Please provide type hint for the parameter: s

Please provide descriptive name for the parameter: s

algorithms-keeper · 2024-10-25T16:26:12Z

+    # perform the johnson algorithm to handle the negative weights that
+    # could not be handled by either the dijkstra
+    # or the bellman ford algorithm efficiently
+    def johnson_algo(self) -> dict:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function johnson_algo

algorithms-keeper

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Python:

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pytest

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algorithms-keeper · 2024-10-28T02:43:28Z

+        self.graph: dict[str, list[tuple[str, int]]] = {}
+
+    # add vertices for a graph
+    def add_vertices(self, u: int) -> None:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function add_vertices

Please provide descriptive name for the parameter: u

algorithms-keeper · 2024-10-28T02:43:28Z

+        self.graph[u] = []
+
+    # assign weights for each edges formed of the directed graph
+    def add_edge(self, u: str, v: str, w: int) -> None:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function add_edge

Please provide descriptive name for the parameter: u

Please provide descriptive name for the parameter: v

Please provide descriptive name for the parameter: w

algorithms-keeper · 2024-10-28T02:43:28Z

+        self.graph[u].append((v, w))
+
+    # perform a dijkstra algorithm on a directed graph
+    def dijkstra(self, s: str) -> dict:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function dijkstra

Please provide descriptive name for the parameter: s

algorithms-keeper · 2024-10-28T02:43:28Z

+        return distances
+
+    # carry out the bellman ford algorithm for a node and estimate its distance vector
+    def bellman_ford(self, s: str) -> dict:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function bellman_ford

Please provide descriptive name for the parameter: s

algorithms-keeper · 2024-10-28T02:43:28Z

+    # perform the johnson algorithm to handle the negative weights that
+    # could not be handled by either the dijkstra
+    # or the bellman ford algorithm efficiently
+    def johnson_algo(self) -> list[dict]:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function johnson_algo

for more information, see https://pre-commit.ci

…o joel_graph

algorithms-keeper

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Repository:

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Python:

Formatted string literals (f-strings)

Type hints

doctest

unittest

pytest

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algorithms-keeper · 2024-10-28T02:46:50Z

+        self.graph: dict[str, list[tuple[str, int]]] = {}
+
+    # add vertices for a graph
+    def add_vertices(self, u: str) -> None:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function add_vertices

Please provide descriptive name for the parameter: u

algorithms-keeper · 2024-10-28T02:46:50Z

+        self.graph[u] = []
+
+    # assign weights for each edges formed of the directed graph
+    def add_edge(self, u: str, v: str, w: int) -> None:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function add_edge

Please provide descriptive name for the parameter: u

Please provide descriptive name for the parameter: v

Please provide descriptive name for the parameter: w

algorithms-keeper · 2024-10-28T02:46:50Z

+        self.graph[u].append((v, w))
+
+    # perform a dijkstra algorithm on a directed graph
+    def dijkstra(self, s: str) -> dict:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function dijkstra

Please provide descriptive name for the parameter: s

algorithms-keeper · 2024-10-28T02:46:50Z

+        return distances
+
+    # carry out the bellman ford algorithm for a node and estimate its distance vector
+    def bellman_ford(self, s: str) -> dict:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function bellman_ford

Please provide descriptive name for the parameter: s

algorithms-keeper · 2024-10-28T02:46:50Z

+    # perform the johnson algorithm to handle the negative weights that
+    # could not be handled by either the dijkstra
+    # or the bellman ford algorithm efficiently
+    def johnson_algo(self) -> list[dict]:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function johnson_algo

algorithms-keeper

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Repository:

Contributing guidelines

Project Euler solution guidelines

Python:

Formatted string literals (f-strings)

Type hints

doctest

unittest

pytest

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algorithms-keeper · 2024-10-28T03:06:48Z

+        self.graph: dict[str, list[tuple[str, int]]] = {}
+
+    # add vertices for a graph
+    def add_vertices(self, vertex: str) -> None:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function add_vertices

algorithms-keeper · 2024-10-28T03:06:48Z

+        self.graph[vertex] = []
+
+    # assign weights for each edges formed of the directed graph
+    def add_edge(self, vertex_a: str, vertex_b: str, weight: int) -> None:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function add_edge

algorithms-keeper · 2024-10-28T03:06:48Z

+        self.graph[vertex_a].append((vertex_b, weight))
+
+    # perform a dijkstra algorithm on a directed graph
+    def dijkstra(self, start: str) -> dict:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function dijkstra

algorithms-keeper · 2024-10-28T03:06:48Z

+        return distances
+
+    # carry out the bellman ford algorithm for a node and estimate its distance vector
+    def bellman_ford(self, start: str) -> dict:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function bellman_ford

algorithms-keeper · 2024-10-28T03:06:48Z

+    # perform the johnson algorithm to handle the negative weights that
+    # could not be handled by either the dijkstra
+    # or the bellman ford algorithm efficiently
+    def johnson_algo(self) -> list[dict]:


As there is no test file in this pull request nor any test function or class in the file graphs/johnson_graph.py, please provide doctest for the function johnson_algo

for more information, see https://pre-commit.ci

…o joel_graph

joelkurien and others added 4 commits October 26, 2024 03:00

Implementation of Johnson Graph Algorithm

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joelkurien commented Oct 25, 2024 •

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