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[pre-commit.ci] auto fixes from pre-commit.com hooks
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pre-commit-ci[bot] committed Sep 17, 2024
1 parent 9a9456f commit e9a28c5
Showing 1 changed file with 8 additions and 27 deletions.
35 changes: 8 additions & 27 deletions stubs/networkx/networkx/algorithms/shortest_paths/weighted.pyi
Original file line number Diff line number Diff line change
@@ -1,90 +1,71 @@
from _typeshed import Incomplete
from collections.abc import Callable, Generator
from typing import Any
from _typeshed import Incomplete

from networkx.utils.backends import _dispatch

# type alias for the weight function
_WeightFunction = Callable[[Any, Any, dict[str, Any]], float | None]

@_dispatch
def dijkstra_path(G, source, target, weight: str | _WeightFunction = "weight"): ...

@_dispatch
def dijkstra_path_length(G, source, target, weight: str | _WeightFunction = "weight"): ...

@_dispatch
def single_source_dijkstra_path(G, source, cutoff: Incomplete | None = None, weight: str | _WeightFunction = "weight"): ...

@_dispatch
def single_source_dijkstra_path_length(G, source, cutoff: Incomplete | None = None, weight: str | _WeightFunction = "weight"): ...

@_dispatch
def single_source_dijkstra(
G, source, target: Incomplete | None = None, cutoff: Incomplete | None = None, weight: str | _WeightFunction = "weight"
): ...

@_dispatch
def multi_source_dijkstra_path(G, sources, cutoff: Incomplete | None = None, weight: str | _WeightFunction = "weight"): ...

@_dispatch
def multi_source_dijkstra_path_length(G, sources, cutoff: Incomplete | None = None, weight: str | _WeightFunction = "weight"): ...

@_dispatch
def multi_source_dijkstra(
G, sources, target: Incomplete | None = None, cutoff: Incomplete | None = None, weight: str | _WeightFunction = "weight"
): ...

@_dispatch
def dijkstra_predecessor_and_distance(G, source, cutoff: Incomplete | None = None, weight: str | _WeightFunction = "weight"): ...

@_dispatch
def all_pairs_dijkstra(G, cutoff: Incomplete | None = None, weight: str | _WeightFunction = "weight") -> Generator[Incomplete, None, None]: ...

def all_pairs_dijkstra(
G, cutoff: Incomplete | None = None, weight: str | _WeightFunction = "weight"
) -> Generator[Incomplete, None, None]: ...
@_dispatch
def all_pairs_dijkstra_path_length(
G, cutoff: Incomplete | None = None, weight: str | _WeightFunction = "weight"
) -> Generator[Incomplete, None, None]: ...

@_dispatch
def all_pairs_dijkstra_path(G, cutoff: Incomplete | None = None, weight: str | _WeightFunction = "weight") -> Generator[Incomplete, None, None]: ...

def all_pairs_dijkstra_path(
G, cutoff: Incomplete | None = None, weight: str | _WeightFunction = "weight"
) -> Generator[Incomplete, None, None]: ...
@_dispatch
def bellman_ford_predecessor_and_distance(
G, source, target: Incomplete | None = None, weight: str | _WeightFunction = "weight", heuristic: bool = False
): ...

@_dispatch
def bellman_ford_path(G, source, target, weight: str | _WeightFunction = "weight"): ...

@_dispatch
def bellman_ford_path_length(G, source, target, weight: str | _WeightFunction = "weight"): ...

@_dispatch
def single_source_bellman_ford_path(G, source, weight: str | _WeightFunction = "weight"): ...

@_dispatch
def single_source_bellman_ford_path_length(G, source, weight: str | _WeightFunction = "weight"): ...

@_dispatch
def single_source_bellman_ford(G, source, target: Incomplete | None = None, weight: str | _WeightFunction = "weight"): ...

@_dispatch
def all_pairs_bellman_ford_path_length(G, weight: str | _WeightFunction = "weight") -> Generator[Incomplete, None, None]: ...

@_dispatch
def all_pairs_bellman_ford_path(G, weight: str | _WeightFunction = "weight") -> Generator[Incomplete, None, None]: ...

@_dispatch
def goldberg_radzik(G, source, weight: str | _WeightFunction = "weight"): ...

@_dispatch
def negative_edge_cycle(G, weight: str | _WeightFunction = "weight", heuristic: bool = True): ...

@_dispatch
def find_negative_cycle(G, source, weight: str | _WeightFunction = "weight"): ...

@_dispatch
def bidirectional_dijkstra(G, source, target, weight: str | _WeightFunction = "weight"): ...

@_dispatch
def johnson(G, weight: str | _WeightFunction = "weight"): ...

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