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@@ -10,7 +10,8 @@ from icosagon.trainprep import TrainValTest, \ |
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prepare_adj_mat, \
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prepare_adj_mat, \
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prepare_relation_type, \
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prepare_relation_type, \
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prep_rel_one_node_type, \
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prep_rel_one_node_type, \
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prep_rel_two_node_types_sym
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prep_rel_two_node_types_sym, \
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prep_rel_two_node_types_asym
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import torch
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import torch
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import pytest
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import pytest
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import numpy as np
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import numpy as np
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@@ -168,6 +169,40 @@ def test_prep_rel_two_node_types_sym_01(): |
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assert len(prep_rel.edges_back_neg.test) == 0
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assert len(prep_rel.edges_back_neg.test) == 0
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def test_prep_rel_two_node_types_asym_01():
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adj_mat = torch.zeros(200)
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perm = torch.randperm(100)
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adj_mat[perm[:10]] = 1
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adj_mat = adj_mat.view(10, 20)
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adj_mat_back = torch.zeros(200)
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perm = torch.randperm(100)
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adj_mat_back[perm[:10]] = 1
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adj_mat_back = adj_mat_back.view(20, 10)
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rel = RelationType('Dummy Relation', 0, 1, adj_mat, adj_mat_back)
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ratios = TrainValTest(.8, .1, .1)
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prep_rel = prep_rel_two_node_types_asym(rel, ratios)
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assert prep_rel.name == rel.name
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assert prep_rel.node_type_row == rel.node_type_row
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assert prep_rel.node_type_column == rel.node_type_column
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assert prep_rel.adjacency_matrix.shape == rel.adjacency_matrix.shape
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assert prep_rel.adjacency_matrix_backward.shape == rel.adjacency_matrix_backward.shape
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assert len(prep_rel.edges_pos.train) == 8
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assert len(prep_rel.edges_pos.val) == 1
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assert len(prep_rel.edges_pos.test) == 1
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assert len(prep_rel.edges_neg.train) == 8
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assert len(prep_rel.edges_neg.val) == 1
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assert len(prep_rel.edges_neg.test) == 1
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assert len(prep_rel.edges_back_pos.train) == 8
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assert len(prep_rel.edges_back_pos.val) == 1
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assert len(prep_rel.edges_back_pos.test) == 1
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assert len(prep_rel.edges_back_neg.train) == 8
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assert len(prep_rel.edges_back_neg.val) == 1
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assert len(prep_rel.edges_back_neg.test) == 1
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# def prepare_relation(r, ratios):
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# def prepare_relation(r, ratios):
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# adj_mat = r.adjacency_matrix
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# adj_mat = r.adjacency_matrix
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# adj_mat_train, edges_pos, edges_neg = prepare_adj_mat(adj_mat)
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# adj_mat_train, edges_pos, edges_neg = prepare_adj_mat(adj_mat)
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