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FIX: ruff
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test/transforms/liftings/graph2simplicial/test_neighborhood_complex_lifting.py

+6-6
Original file line numberDiff line numberDiff line change
@@ -1,6 +1,6 @@
1+
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import networkx as nx
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import torch
3-
from typing import Tuple, Set, List
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from torch_geometric.utils.convert import from_networkx
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from modules.data.utils.utils import load_manual_graph
@@ -37,7 +37,7 @@ def setup_method(self):
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self.random_data["x"] = torch.rand((5, 1))
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40-
def has_neighbour(self, simplex_points: List[Set]) -> Tuple[bool, Set[int]]:
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def has_neighbour(self, simplex_points: list[set]) -> tuple[bool, set[int]]:
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""" Verifies that the maximal simplices
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of Data representation of a simplicial complex
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share a neighbour.
@@ -61,10 +61,10 @@ def test_lift_topology_random_graph(self):
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"""
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lifted_data = self.lifting_high.forward(self.random_data)
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# For each set of simplices
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r = max(int(key.split('_')[-1]) for key in list(lifted_data.keys()) if 'x_idx_' in key)
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r = max(int(key.split("_")[-1]) for key in list(lifted_data.keys()) if "x_idx_" in key)
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idx_str = f"x_idx_{r}"
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# Go over each (max_dim)-simplex
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# Go over each (max_dim)-simplex
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for simplex_points in lifted_data[idx_str]:
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share_neighbour = self.has_neighbour(simplex_points)
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assert share_neighbour, f"The simplex {simplex_points} does not have a common neighbour with all the nodes."
@@ -76,10 +76,10 @@ def test_lift_topology_star_graph(self):
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"""
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lifted_data = self.lifting_high.forward(self.star_data)
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# For each set of simplices
79-
r = max(int(key.split('_')[-1]) for key in list(lifted_data.keys()) if 'x_idx_' in key)
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r = max(int(key.split("_")[-1]) for key in list(lifted_data.keys()) if "x_idx_" in key)
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idx_str = f"x_idx_{r}"
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82-
# Go over each (max_dim)-simplex
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# Go over each (max_dim)-simplex
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for simplex_points in lifted_data[idx_str]:
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share_neighbour = self.has_neighbour(simplex_points)
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assert share_neighbour, f"The simplex {simplex_points} does not have a common neighbour with all the nodes."

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