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https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
chore: ruff check - fix flake8-comprensions
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@ -149,8 +149,8 @@ def test_graph_state_expands_iterator(mock_services):
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invoke_next(g, mock_services)
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prepared_add_nodes = g.source_prepared_mapping["3"]
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results = set([g.results[n].value for n in prepared_add_nodes])
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expected = set([1, 11, 21])
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results = {g.results[n].value for n in prepared_add_nodes}
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expected = {1, 11, 21}
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assert results == expected
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@ -229,7 +229,7 @@ def test_graph_executes_depth_first(mock_services):
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# Because ordering is not guaranteed, we cannot compare results directly.
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# Instead, we must count the number of results.
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def get_completed_count(g, id):
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ids = [i for i in g.source_prepared_mapping[id]]
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ids = list(g.source_prepared_mapping[id])
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completed_ids = [i for i in g.executed if i in ids]
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return len(completed_ids)
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@ -503,8 +503,8 @@ def test_graph_expands_subgraph():
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g.add_edge(create_edge("1.2", "value", "2", "a"))
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dg = g.nx_graph_flat()
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assert set(dg.nodes) == set(["1.1", "1.2", "2"])
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assert set(dg.edges) == set([("1.1", "1.2"), ("1.2", "2")])
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assert set(dg.nodes) == {"1.1", "1.2", "2"}
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assert set(dg.edges) == {("1.1", "1.2"), ("1.2", "2")}
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def test_graph_subgraph_t2i():
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@ -532,9 +532,7 @@ def test_graph_subgraph_t2i():
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# Validate
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dg = g.nx_graph_flat()
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assert set(dg.nodes) == set(
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["1.width", "1.height", "1.seed", "1.3", "1.4", "1.5", "1.6", "1.7", "1.8", "2", "3", "4"]
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)
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assert set(dg.nodes) == {"1.width", "1.height", "1.seed", "1.3", "1.4", "1.5", "1.6", "1.7", "1.8", "2", "3", "4"}
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expected_edges = [(f"1.{e.source.node_id}", f"1.{e.destination.node_id}") for e in lg.graph.edges]
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expected_edges.extend([("2", "1.width"), ("3", "1.height"), ("1.8", "4")])
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print(expected_edges)
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@ -130,7 +130,7 @@ class TestEventService(EventServiceBase):
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def __init__(self):
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super().__init__()
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self.events = list()
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self.events = []
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def dispatch(self, event_name: str, payload: Any) -> None:
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pass
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