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# [MermaidChart: 31f25fab-3a92-4cc4-bb11-71e8012c8ece] |
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# [MermaidChart: 31f25fab-3a92-4cc4-bb11-71e8012c8ece] |
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# [MermaidChart: 31f25fab-3a92-4cc4-bb11-71e8012c8ece] |
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# tests/test_modeling.py |
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from collections import defaultdict |
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from src.graphinate.modeling import GraphModel |
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def test_add_graph_models_names(): |
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model_a = GraphModel(name="ModelA") |
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model_b = GraphModel(name="ModelB") |
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combined_model = model_a + model_b |
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assert combined_model.name == "ModelA + ModelB" |
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def test_add_graph_models_node_models(): |
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model_a = GraphModel(name="ModelA") |
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model_b = GraphModel(name="ModelB") |
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model_a._node_models = defaultdict(list, {"type1": ["node1"]}) |
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model_b._node_models = defaultdict(list, {"type1": ["node2"]}) |
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combined_model = model_a + model_b |
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assert combined_model._node_models["type1"] == ["node1", "node2"] |
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def test_add_graph_models_edge_generators(): |
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model_a = GraphModel(name="ModelA") |
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model_b = GraphModel(name="ModelB") |
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model_a._edge_generators = defaultdict(list, {"edge1": ["gen1"]}) |
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model_b._edge_generators = defaultdict(list, {"edge1": ["gen2"]}) |
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combined_model = model_a + model_b |
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assert combined_model._edge_generators["edge1"] == ["gen1", "gen2"] |
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def test_add_graph_models_node_children(): |
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model_a = GraphModel(name="ModelA") |
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model_b = GraphModel(name="ModelB") |
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model_a._node_children = defaultdict(list, {"child1": ["child_a"]}) |
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model_b._node_children = defaultdict(list, {"child1": ["child_b"]}) |
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combined_model = model_a + model_b |
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assert combined_model._node_children["child1"] == ["child_a", "child_b"] |
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erivlis /
graphinate
