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Merged
merged 2 commits into from
Dec 24, 2024
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[pull] master from TheAlgorithms:master #65

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c36aaf0
Fix sphinx/build_docs warnings for graphs/check_bipatrite (#12469)
MaximSmolskiy Dec 24, 2024
ae28fa7
Fix sphinx/build_docs warnings for data_structures/binary_tree/mirror…
MaximSmolskiy Dec 24, 2024
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Fix sphinx/build_docs warnings for graphs/check_bipatrite (TheAlgorit… 
…hms#12469)

* Fix sphinx/build_docs warnings for graphs/check_bipatrite

* Fix
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@MaximSmolskiy
MaximSmolskiy authored Dec 24, 2024
commit c36aaf0fbcbc0f1a6c82b689ee87e383104b9e96
24 changes: 14 additions & 10 deletions graphs/check_bipatrite.py
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Expand Up @@ -6,16 +6,17 @@ def is_bipartite_dfs(graph: defaultdict[int, list[int]]) -> bool:
Check if a graph is bipartite using depth-first search (DFS).

Args:
graph: Adjacency list representing the graph.
`graph`: Adjacency list representing the graph.

Returns:
True if bipartite, False otherwise.
``True`` if bipartite, ``False`` otherwise.

Checks if the graph can be divided into two sets of vertices, such that no two
vertices within the same set are connected by an edge.

Examples:
# FIXME: This test should pass.

>>> # FIXME: This test should pass.
>>> is_bipartite_dfs(defaultdict(list, {0: [1, 2], 1: [0, 3], 2: [0, 4]}))
Traceback (most recent call last):
...
Expand All @@ -37,7 +38,7 @@ def is_bipartite_dfs(graph: defaultdict[int, list[int]]) -> bool:
...
KeyError: 0

# FIXME: This test should fails with KeyError: 4.
>>> # FIXME: This test should fails with KeyError: 4.
>>> is_bipartite_dfs({0: [1, 3], 1: [0, 2], 2: [1, 3], 3: [0, 2], 9: [0]})
False
>>> is_bipartite_dfs({0: [-1, 3], 1: [0, -2]})
Expand All @@ -51,7 +52,8 @@ def is_bipartite_dfs(graph: defaultdict[int, list[int]]) -> bool:
...
KeyError: 0

# FIXME: This test should fails with TypeError: list indices must be integers or...
>>> # FIXME: This test should fails with
>>> # TypeError: list indices must be integers or...
>>> is_bipartite_dfs({0: [1.0, 3.0], 1.0: [0, 2.0], 2.0: [1.0, 3.0], 3.0: [0, 2.0]})
True
>>> is_bipartite_dfs({"a": [1, 3], "b": [0, 2], "c": [1, 3], "d": [0, 2]})
Expand Down Expand Up @@ -95,16 +97,17 @@ def is_bipartite_bfs(graph: defaultdict[int, list[int]]) -> bool:
Check if a graph is bipartite using a breadth-first search (BFS).

Args:
graph: Adjacency list representing the graph.
`graph`: Adjacency list representing the graph.

Returns:
True if bipartite, False otherwise.
``True`` if bipartite, ``False`` otherwise.

Check if the graph can be divided into two sets of vertices, such that no two
vertices within the same set are connected by an edge.

Examples:
# FIXME: This test should pass.

>>> # FIXME: This test should pass.
>>> is_bipartite_bfs(defaultdict(list, {0: [1, 2], 1: [0, 3], 2: [0, 4]}))
Traceback (most recent call last):
...
Expand All @@ -126,7 +129,7 @@ def is_bipartite_bfs(graph: defaultdict[int, list[int]]) -> bool:
...
KeyError: 0

# FIXME: This test should fails with KeyError: 4.
>>> # FIXME: This test should fails with KeyError: 4.
>>> is_bipartite_bfs({0: [1, 3], 1: [0, 2], 2: [1, 3], 3: [0, 2], 9: [0]})
False
>>> is_bipartite_bfs({0: [-1, 3], 1: [0, -2]})
Expand All @@ -140,7 +143,8 @@ def is_bipartite_bfs(graph: defaultdict[int, list[int]]) -> bool:
...
KeyError: 0

# FIXME: This test should fails with TypeError: list indices must be integers or...
>>> # FIXME: This test should fails with
>>> # TypeError: list indices must be integers or...
>>> is_bipartite_bfs({0: [1.0, 3.0], 1.0: [0, 2.0], 2.0: [1.0, 3.0], 3.0: [0, 2.0]})
True
>>> is_bipartite_bfs({"a": [1, 3], "b": [0, 2], "c": [1, 3], "d": [0, 2]})
Expand Down