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networkx: improve the multigraph module (#14506)
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@@ -1,4 +1,4 @@
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from collections.abc import Callable, Collection, Hashable, Iterable, Iterator, Mapping, MutableMapping
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from collections.abc import Callable, Collection, Hashable, Iterable, Iterator, MutableMapping
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from functools import cached_property
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from typing import Any, ClassVar, TypeVar, overload
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from typing_extensions import Self, TypeAlias
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@@ -43,7 +43,7 @@ class Graph(Collection[_Node]):
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def to_undirected_class(self) -> type[Graph[_Node]]: ...
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def __init__(self, incoming_graph_data: _Data[_Node] | None = None, **attr: Any) -> None: ... # attr: key=value pairs
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@cached_property
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def adj(self) -> AdjacencyView[_Node, _Node, Mapping[str, Any]]: ...
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def adj(self) -> AdjacencyView[_Node, _Node, dict[str, Any]]: ...
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# This object is a read-only dict-like structure
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@property
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def name(self) -> str: ...
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@@ -82,9 +82,9 @@ class Graph(Collection[_Node]):
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def neighbors(self, n: _Node) -> Iterator[_Node]: ...
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@cached_property
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def edges(self) -> EdgeView[_Node]: ...
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def get_edge_data(self, u: _Node, v: _Node, default: Any = None) -> Mapping[str, Any]: ...
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def get_edge_data(self, u: _Node, v: _Node, default: Any = None) -> dict[str, Any]: ...
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# default: any Python object
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def adjacency(self) -> Iterator[tuple[_Node, Mapping[_Node, Mapping[str, Any]]]]: ...
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def adjacency(self) -> Iterator[tuple[_Node, dict[_Node, dict[str, Any]]]]: ...
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@cached_property
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def degree(self) -> int | DegreeView[_Node]: ...
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def clear(self) -> None: ...
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@@ -1,4 +1,4 @@
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from collections.abc import Hashable, Mapping
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from collections.abc import Hashable
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from functools import cached_property
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from typing import Any, ClassVar, overload
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from typing_extensions import TypeAlias, TypeVar
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@@ -10,7 +10,8 @@ from networkx.classes.reportviews import MultiEdgeView
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_MultiEdge: TypeAlias = tuple[_Node, _Node, int] # noqa: Y047
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_Any = TypeVar("_Any")
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_DefaultT = TypeVar("_DefaultT")
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_KeyT = TypeVar("_KeyT", bound=Hashable)
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__all__ = ["MultiGraph"]
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@@ -18,23 +19,26 @@ class MultiGraph(Graph[_Node]):
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edge_key_dict_factory: ClassVar[_MapFactory]
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def __init__(self, incoming_graph_data=None, multigraph_input: bool | None = None, **attr: Any) -> None: ...
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@cached_property
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def adj(self) -> MultiAdjacencyView[_Node, _Node, Mapping[str, Any]]: ...
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def adj(self) -> MultiAdjacencyView[_Node, _Node, dict[str, Any]]: ... # data can be any type
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def new_edge_key(self, u: _Node, v: _Node) -> int: ...
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def add_edge( # type: ignore[override]
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self, u_for_edge: _Node, v_for_edge: _Node, key: Hashable | int | None = None, **attr: Any
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) -> Hashable | int: ...
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@overload # type: ignore[override] # Has an additional `key` keyword argument
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def add_edge(self, u_for_edge: _Node, v_for_edge: _Node, key: int | None = None, **attr: Any) -> int: ...
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@overload
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def add_edge(self, u_for_edge: _Node, v_for_edge: _Node, key: _KeyT, **attr: Any) -> _KeyT: ...
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# key : hashable identifier, optional (default=lowest unused integer)
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def remove_edge(self, u, v, key=None): ...
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def has_edge(self, u: _Node, v: _Node, key=None) -> bool: ...
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def remove_edge(self, u: _Node, v: _Node, key: Hashable | None = None) -> None: ...
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def has_edge(self, u: _Node, v: _Node, key: Hashable | None = None) -> bool: ...
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@overload # type: ignore[override]
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def get_edge_data(self, u: _Node, v: _Node, key: Hashable, default: _Any | None = None) -> Mapping[str, Any] | _Any: ...
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def get_edge_data(
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self, u: _Node, v: _Node, key: Hashable, default: _DefaultT | None = None
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) -> dict[str, Any] | _DefaultT: ...
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# key : hashable identifier, optional (default=None).
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# default : any Python object (default=None). Value to return if the specific edge (u, v, key) is not found.
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# Returns: The edge attribute dictionary.
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@overload
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def get_edge_data(
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self, u: _Node, v: _Node, key: None = None, default: _Any | None = None
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) -> Mapping[Hashable, Mapping[str, Any] | _Any]: ...
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self, u: _Node, v: _Node, key: None = None, default: _DefaultT | None = None
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) -> dict[Hashable, dict[str, Any] | _DefaultT]: ...
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# default : any Python object (default=None). Value to return if there are no edges between u and v and no key is specified.
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# Returns: A dictionary mapping edge keys to attribute dictionaries for each of those edges if no specific key is provided.
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def copy(self, as_view: bool = False) -> MultiGraph[_Node]: ...
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