datasets/gsn/utils.py
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9
F401: '.utils_graph_processing.subgraph_isomorphism_edge_counts' imported but unused
(and 8 similar)
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'.utils_graph_processing.automorphism_orbits' imported but unused:
2 from .utils_graph_processing import subgraph_isomorphism_edge_counts, subgraph_isomorphism_vertex_counts, \ -
'.utils_graph_processing.edge_automorphism_orbits' imported but unused:
2 from .utils_graph_processing import subgraph_isomorphism_edge_counts, subgraph_isomorphism_vertex_counts, \ -
'.utils_graph_processing.induced_edge_automorphism_orbits' imported but unused:
2 from .utils_graph_processing import subgraph_isomorphism_edge_counts, subgraph_isomorphism_vertex_counts, \ -
'.utils_graph_processing.subgraph_isomorphism_edge_counts' imported but unused:
2 from .utils_graph_processing import subgraph_isomorphism_edge_counts, subgraph_isomorphism_vertex_counts, \ -
'.utils_graph_processing.subgraph_isomorphism_vertex_counts' imported but unused:
2 from .utils_graph_processing import subgraph_isomorphism_edge_counts, subgraph_isomorphism_vertex_counts, \ -
'.utils_ids.subgraph_counts2ids' imported but unused:
4 from .utils_ids import subgraph_counts2ids -
'.utils_graph_learning.multi_class_accuracy' imported but unused:
6 from .utils_graph_learning import multi_class_accuracy -
'torch.nn' imported but unused:
8 import torch.nn as nn -
'numpy as np' imported but unused:
9 import numpy as np
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- 1 F811: redefinition of unused 'Data' from line 10
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43
E501: line too long (107 > 79 characters)
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2 from .utils_graph_processing import subgraph_isomorphism_edge_counts, subgraph_isomorphism_vertex_counts, \ -
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3 induced_edge_automorphism_orbits, edge_automorphism_orbits, automorphism_orbits -
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24 raise ValueError('You must specify either a type or a filename where to read substructures from.') -
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30 graphs_nx = nx.read_graph6(os.path.join(filename, 'graph{}c.g6'.format(k))) -
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31 if isinstance(graphs_nx, list) or isinstance(graphs_nx, types.GeneratorType): -
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51 if dataset in ['bioinformatics', 'social', 'chemical', 'ogb', 'SR_graphs', 'MNIST']: -
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58 data_file = os.path.join(data_folder, '{}_induced_directed_orbits_{}.pt'.format(id_type, k)) -
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60 data_file = os.path.join(data_folder, '{}_induced_{}.pt'.format(id_type, k)) -
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63 data_file = os.path.join(data_folder, '{}_directed_orbits_{}.pt'.format(id_type, k)) -
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65 data_file = os.path.join(data_folder, '{}_{}.pt'.format(id_type, k)) -
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72 raise NotImplementedError("Dataset family {} is not currently supported.".format(dataset)) -
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78 graphs_ptg, num_classes, orbit_partition_sizes = load_dataset(data_file) -
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81 else: # try downgrading. Currently works only when for each k there is only one substructure in the family -
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88 succeded, graphs_ptg, num_classes, orbit_partition_sizes = try_downgrading(data_folder, -
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89 id_type, -
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90 subgraph_params['induced'], -
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91 subgraph_params[ -
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92 'directed_orbits'] -
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93 and id_scope == 'local', -
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94 k, k_min) -
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97 torch.save((graphs_ptg, num_classes, orbit_partition_sizes), data_file) -
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102 graphs_ptg, num_classes, num_node_type, num_edge_type, orbit_partition_sizes = generate_dataset(path, -
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103 name, -
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104 k, -
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105 extract_ids_fn, -
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106 count_fn, -
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107 automorphism_fn, -
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108 id_type, -
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109 multiprocessing, -
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110 num_processes, -
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111 **subgraph_params) -
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114 torch.save((graphs_ptg, num_classes, orbit_partition_sizes), data_file) -
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117 torch.save((num_node_type, num_edge_type), os.path.join(path, 'processed', 'num_feature_types.pt')) -
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137 Extracts the substructures of size up to the `k`, if a collection of substructures -
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140 found_data_filename, k_found = find_id_filename(data_folder, id_type, induced, directed_orbits, k) -
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142 graphs_ptg, num_classes, orbit_partition_sizes = load_dataset(found_data_filename) -
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144 graphs_ptg, orbit_partition_sizes = downgrade_k(graphs_ptg, k, orbit_partition_sizes, k_min) -
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152 Looks for existing precomputed datasets in `data_folder` with counts for substructure -
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157 pattern = os.path.join(data_folder, '{}_induced_directed_orbits_[0-9]*.pt'.format(id_type)) -
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159 pattern = os.path.join(data_folder, '{}_induced_[0-9]*.pt'.format(id_type)) -
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162 pattern = os.path.join(data_folder, '{}_directed_orbits_[0-9]*.pt'.format(id_type)) -
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174 Donwgrades `dataset` by keeping only the orbits of the requested substructures. -
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183 setattr(new_data, 'identifiers', data.identifiers[:, 0:feature_vector_size])
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- 1 E302: expected 2 blank lines, found 1
- 1 W291: trailing whitespace