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from functools import reduce
from typing import Callable
from pydantic import BaseModel
class Node(BaseModel):
name: str
infos: dict = {}
def __hash__(self):
return hash(self.name)
class Edge(BaseModel):
arrow_name: str
source: Node
target: Node
edge_kwrds: dict = {}
class Graph:
def __init__(self, nodes: list[Node] = [], edges: list[Edge] = []):
self._edges = []
self._nodes = set()
self.add_edges(edges)
self.add_nodes(nodes)
def add_node(self, node: Node):
self._nodes.add(node)
def add_nodes(self, nodes: list[Node]):
for node in nodes:
self.add_node(node)
def add_edge(self, edge: Edge):
self._edges.append(edge)
self.add_node(edge.source)
self.add_node(edge.target)
def add_edges(self, edges: list[Edge]):
for edge in edges:
self.add_edge(edge)
@property
def nodes(self):
return self._nodes
@property
def edges(self):
return self._edges
def get_edges_from(self, node: Node) -> list[Edge]:
"""Get all edges which have the node as source"""
return [edge for edge in self._edges if edge.source == node]
def get_edges_to(self, node: Node) -> list[Edge]:
"""Get all edges which have the node as target"""
return [edge for edge in self._edges if edge.target == node]
def get_direct_targets_from(self, node: Node) -> set[Node]:
"""Get direct nodes that are accessible from the node"""
return set(edge.target for edge in self._edges if edge.source == node)
def get_targets_from(self, node: Node) -> set[Node]:
"""Get all nodes that are accessible from the node
If the graph have a loop, the procedure be in an infinite loop!
"""
direct_targets = self.get_direct_targets_from(node)
undirect_targets = [self.get_targets_from(n) for n in direct_targets]
undirect_targets = reduce(lambda x, y: x.union(y), undirect_targets, set())
return direct_targets.union(undirect_targets)
def get_direct_sources_from(self, node: Node) -> set[Node]:
"""Get direct nodes that are targeted the node"""
return set(edge.source for edge in self._edges if edge.target == node)
def get_sources_from(self, node: Node) -> set[Node]:
"""Get all nodes that are targeted the node"""
direct_sources = self.get_direct_sources_from(node)
undirect_sources = [self.get_sources_from(n) for n in direct_sources]
undirect_sources = reduce(lambda x, y: x.union(y), undirect_sources, set())
return direct_sources.union(undirect_sources)
def is_dag(self) -> bool:
visited = set()
for node in self._nodes:
if node not in visited:
try:
targets = self.get_targets_from(node)
except RecursionError:
return False
visited.union(targets)
return True

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from typing import Callable
from pydantic import BaseModel
class Node(BaseModel):
name: str
infos: dict = {}
def __hash__(self):
return hash(self.name)
class EdgeOnSet(BaseModel):
arrow: Callable
sources: dict[str, Node]
targets: dict[str, Node]
edge_kwrds: dict = {}
class GraphSet:
def __init__(self):
self._edges = []
self._node_sets = set()
def append(self, edge: EdgeOnSet):
self._edges.append(edge)
self._node_sets.add(frozenset(edge.sources.values()))
self._node_sets.add(frozenset(edge.targets.values()))
@property
def node_sets(self):
return self._node_sets

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import pytest
from plesna.graph import Edge, Graph, Node
def test_append_nodess():
nodeA = Node(name="A")
nodeB = Node(name="B")
graph = Graph()
graph.add_node(nodeA)
graph.add_node(nodeB)
assert graph.nodes == {nodeA, nodeB}
def test_append_edges():
nodeA = Node(name="A")
nodeB = Node(name="B")
nodeC = Node(name="C")
edge1 = Edge(arrow_name="arrow", source=nodeA, target=nodeC)
edge2 = Edge(arrow_name="arrow", source=nodeB, target=nodeC)
graph = Graph()
graph.add_edge(edge1)
graph.add_edge(edge2)
assert graph.nodes == {nodeA, nodeB, nodeC}
def test_init_edges_nodes():
nodeA = Node(name="A")
nodeB = Node(name="B")
nodeC = Node(name="C")
edge1 = Edge(arrow_name="arrow", source=nodeB, target=nodeC)
graph = Graph()
graph.add_node(nodeA)
graph.add_edge(edge1)
assert graph.nodes == {nodeA, nodeB, nodeC}
@pytest.fixture
def nodes():
return {
"A": Node(name="A"),
"B": Node(name="B"),
"C": Node(name="C"),
"D": Node(name="D"),
}
@pytest.fixture
def dag_edges(nodes):
return {
"1": Edge(arrow_name="arrow", source=nodes["A"], target=nodes["C"]),
"2": Edge(arrow_name="arrow", source=nodes["B"], target=nodes["C"]),
"3": Edge(arrow_name="arrow", source=nodes["C"], target=nodes["D"]),
}
@pytest.fixture
def notdag_edges(nodes):
return {
"1": Edge(arrow_name="arrow", source=nodes["A"], target=nodes["C"]),
"2": Edge(arrow_name="arrow", source=nodes["B"], target=nodes["C"]),
"3": Edge(arrow_name="arrow", source=nodes["C"], target=nodes["D"]),
"4": Edge(arrow_name="arrow", source=nodes["D"], target=nodes["B"]),
}
def test_get_edges_from(nodes, dag_edges):
edges = dag_edges
graph = Graph(edges=edges.values())
assert graph.get_edges_from(nodes["A"]) == [edges["1"]]
def test_get_targets_from(nodes, dag_edges):
edges = dag_edges
graph = Graph(edges=edges.values())
assert graph.get_direct_targets_from(nodes["A"]) == set([nodes["C"]])
assert graph.get_direct_targets_from(nodes["C"]) == set([nodes["D"]])
assert graph.get_direct_targets_from(nodes["D"]) == set()
assert graph.get_targets_from(nodes["A"]) == set([nodes["C"], nodes["D"]])
def test_get_sources_from(nodes, dag_edges):
edges = dag_edges
graph = Graph(edges=edges.values())
assert graph.get_direct_sources_from(nodes["A"]) == set()
assert graph.get_direct_sources_from(nodes["C"]) == set([nodes["A"], nodes["B"]])
assert graph.get_direct_sources_from(nodes["D"]) == set([nodes["C"]])
assert graph.get_sources_from(nodes["D"]) == set(
[nodes["A"], nodes["B"], nodes["C"]]
)
def test_valid_dage(dag_edges, notdag_edges):
graph = Graph(edges=dag_edges.values())
assert graph.is_dag()
graph = Graph(edges=notdag_edges.values())
assert not graph.is_dag()

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from plesna.graph_set import EdgeOnSet, GraphSet, Node
def test_init():
nodeA = Node(name="A")
nodeB = Node(name="B")
nodeC = Node(name="C")
def arrow(sources, targets):
targets["C"].infos["res"] = sources["A"].name + sources["B"].name
edge1 = EdgeOnSet(
arrow=arrow, sources={"A": nodeA, "B": nodeB}, targets={"C": nodeC}
)
graph_set = GraphSet()
graph_set.append(edge1)
assert graph_set.node_sets == {frozenset([nodeA, nodeB]), frozenset([nodeC])}