File	function		statements	missing	excluded		coverage
hopwise/__init__.py	(no function)		1	0	0		100%
hopwise/__main__.py	(no function)		3	3	0		0%
hopwise/cli.py	hopwiseClickCommand.parse_args		9	9	0		0%
hopwise/cli.py	cli		6	6	0		0%
hopwise/cli.py	train		20	20	0		0%
hopwise/cli.py	evaluate		20	20	0		0%
hopwise/cli.py	benchmark		38	38	0		0%
hopwise/cli.py	tune		24	24	0		0%
hopwise/cli.py	models		20	20	0		0%
hopwise/cli.py	(no function)		82	82	0		0%
hopwise/config/__init__.py	(no function)		1	0	0		100%
hopwise/config/configurator.py	Config.__init__		17	0	0		100%
hopwise/config/configurator.py	Config._init_parameters_category		5	0	0		100%
hopwise/config/configurator.py	Config._build_yaml_loader		3	0	0		100%
hopwise/config/configurator.py	Config._convert_config_dict		29	4	0		86%
hopwise/config/configurator.py	Config._load_config_files		6	0	0		100%
hopwise/config/configurator.py	Config._load_variable_config_dict		1	0	0		100%
hopwise/config/configurator.py	Config._load_cmd_line		16	3	0		81%
hopwise/config/configurator.py	Config._merge_external_config_dict		5	0	0		100%
hopwise/config/configurator.py	Config._get_model_and_dataset		17	6	0		65%
hopwise/config/configurator.py	Config._update_internal_config_dict		5	0	0		100%
hopwise/config/configurator.py	Config._load_internal_config_dict		53	5	0		91%
hopwise/config/configurator.py	Config._get_final_config_dict		4	0	0		100%
hopwise/config/configurator.py	Config._set_default_parameters		108	44	0		59%
hopwise/config/configurator.py	Config._init_device		19	10	0		47%
hopwise/config/configurator.py	Config._set_train_neg_sample_args		10	3	0		70%
hopwise/config/configurator.py	Config._set_eval_neg_sample_args		15	2	0		87%
hopwise/config/configurator.py	Config._set_torch_dtype		10	5	0		50%
hopwise/config/configurator.py	Config._set_env_behavior		3	0	0		100%
hopwise/config/configurator.py	Config.__setitem__		3	1	0		67%
hopwise/config/configurator.py	Config.__getattr__		5	0	0		100%
hopwise/config/configurator.py	Config.__getitem__		1	0	0		100%
hopwise/config/configurator.py	Config.__contains__		3	1	0		67%
hopwise/config/configurator.py	Config.__str__		9	9	0		0%
hopwise/config/configurator.py	Config.__repr__		1	1	0		0%
hopwise/config/configurator.py	Config.compatibility_settings		19	4	0		79%
hopwise/config/configurator.py	(no function)		36	0	0		100%
hopwise/data/__init__.py	(no function)		2	0	0		100%
hopwise/data/dataloader/__init__.py	(no function)		4	0	0		100%
hopwise/data/dataloader/abstract_dataloader.py	AbstractDataLoader.__init__		16	3	0		81%
hopwise/data/dataloader/abstract_dataloader.py	AbstractDataLoader._init_batch_size_and_step		1	1	0		0%
hopwise/data/dataloader/abstract_dataloader.py	AbstractDataLoader.update_config		2	2	0		0%
hopwise/data/dataloader/abstract_dataloader.py	AbstractDataLoader.set_batch_size		1	0	0		100%
hopwise/data/dataloader/abstract_dataloader.py	AbstractDataLoader.collate_fn		1	1	0		0%
hopwise/data/dataloader/abstract_dataloader.py	AbstractDataLoader.__iter__		4	0	0		100%
hopwise/data/dataloader/abstract_dataloader.py	AbstractDataLoader.__getattribute__		3	0	0		100%
hopwise/data/dataloader/abstract_dataloader.py	NegSampleDataLoader.__init__		2	0	0		100%
hopwise/data/dataloader/abstract_dataloader.py	NegSampleDataLoader._set_neg_sample_args		24	2	0		92%
hopwise/data/dataloader/abstract_dataloader.py	NegSampleDataLoader._neg_sampling		22	0	0		100%
hopwise/data/dataloader/abstract_dataloader.py	NegSampleDataLoader._neg_sample_by_pair_wise_sampling		6	0	0		100%
hopwise/data/dataloader/abstract_dataloader.py	NegSampleDataLoader._neg_sample_by_point_wise_sampling		8	0	0		100%
hopwise/data/dataloader/abstract_dataloader.py	NegSampleDataLoader.get_model		1	0	0		100%
hopwise/data/dataloader/abstract_dataloader.py	(no function)		22	0	0		100%
hopwise/data/dataloader/general_dataloader.py	TrainDataLoader.__init__		4	0	0		100%
hopwise/data/dataloader/general_dataloader.py	TrainDataLoader._init_batch_size_and_step		8	0	0		100%
hopwise/data/dataloader/general_dataloader.py	TrainDataLoader.update_config		2	2	0		0%
hopwise/data/dataloader/general_dataloader.py	TrainDataLoader.collate_fn		4	0	0		100%
hopwise/data/dataloader/general_dataloader.py	NegSampleEvalDataLoader.__init__		25	2	0		92%
hopwise/data/dataloader/general_dataloader.py	NegSampleEvalDataLoader._init_batch_size_and_step		14	0	0		100%
hopwise/data/dataloader/general_dataloader.py	NegSampleEvalDataLoader.update_config		3	3	0		0%
hopwise/data/dataloader/general_dataloader.py	NegSampleEvalDataLoader.collate_fn		22	0	0		100%
hopwise/data/dataloader/general_dataloader.py	FullSortEvalDataLoader.__init__		5	2	0		60%
hopwise/data/dataloader/general_dataloader.py	FullSortEvalDataLoader.check_sequential		1	0	0		100%
hopwise/data/dataloader/general_dataloader.py	FullSortEvalDataLoader._build_positive_samples		31	4	0		87%
hopwise/data/dataloader/general_dataloader.py	FullSortEvalDataLoader._set_source_property		6	0	0		100%
hopwise/data/dataloader/general_dataloader.py	FullSortEvalDataLoader._init_batch_size_and_step		8	0	0		100%
hopwise/data/dataloader/general_dataloader.py	FullSortEvalDataLoader.update_config		1	1	0		0%
hopwise/data/dataloader/general_dataloader.py	FullSortEvalDataLoader._not_sequential_collate_fn		10	0	0		100%
hopwise/data/dataloader/general_dataloader.py	FullSortEvalDataLoader.collate_fn		9	0	0		100%
hopwise/data/dataloader/general_dataloader.py	FullSortRecEvalDataLoader.__init__		13	1	0		92%
hopwise/data/dataloader/general_dataloader.py	FullSortLPEvalDataLoader.__init__		12	12	0		0%
hopwise/data/dataloader/general_dataloader.py	(no function)		29	0	0		100%
hopwise/data/dataloader/knowledge_dataloader.py	KGDataLoader.__init__		12	2	0		83%
hopwise/data/dataloader/knowledge_dataloader.py	KGDataLoader._init_batch_size_and_step		3	0	0		100%
hopwise/data/dataloader/knowledge_dataloader.py	KGDataLoader.collate_fn		6	0	0		100%
hopwise/data/dataloader/knowledge_dataloader.py	KnowledgeBasedDataLoader.__init__		7	0	0		100%
hopwise/data/dataloader/knowledge_dataloader.py	KnowledgeBasedDataLoader.update_config		2	2	0		0%
hopwise/data/dataloader/knowledge_dataloader.py	KnowledgeBasedDataLoader.__iter__		10	1	0		90%
hopwise/data/dataloader/knowledge_dataloader.py	KnowledgeBasedDataLoader.__next__		8	3	0		62%
hopwise/data/dataloader/knowledge_dataloader.py	KnowledgeBasedDataLoader.__len__		3	3	0		0%
hopwise/data/dataloader/knowledge_dataloader.py	KnowledgeBasedDataLoader.set_mode		3	1	0		67%
hopwise/data/dataloader/knowledge_dataloader.py	KnowledgeBasedDataLoader.get_model		1	1	0		0%
hopwise/data/dataloader/knowledge_dataloader.py	KnowledgeBasedDataLoader.knowledge_shuffle		3	3	0		0%
hopwise/data/dataloader/knowledge_dataloader.py	KnowledgePathEvalDataLoader.__init__		6	0	0		100%
hopwise/data/dataloader/knowledge_dataloader.py	KnowledgePathEvalDataLoader._init_batch_size_and_step		3	0	0		100%
hopwise/data/dataloader/knowledge_dataloader.py	KnowledgePathEvalDataLoader.collate_fn		2	0	0		100%
hopwise/data/dataloader/knowledge_dataloader.py	(no function)		23	0	0		100%
hopwise/data/dataloader/user_dataloader.py	UserDataLoader.__init__		8	2	0		75%
hopwise/data/dataloader/user_dataloader.py	UserDataLoader._init_batch_size_and_step		3	0	0		100%
hopwise/data/dataloader/user_dataloader.py	UserDataLoader.collate_fn		2	0	0		100%
hopwise/data/dataloader/user_dataloader.py	(no function)		9	0	0		100%
hopwise/data/dataset/__init__.py	(no function)		7	0	0		100%
hopwise/data/dataset/customized_dataset.py	GRU4RecKGDataset.__init__		1	0	0		100%
hopwise/data/dataset/customized_dataset.py	KSRDataset.__init__		1	0	0		100%
hopwise/data/dataset/customized_dataset.py	DIENDataset.__init__		6	0	0		100%
hopwise/data/dataset/customized_dataset.py	DIENDataset.data_augmentation		44	1	0		98%
hopwise/data/dataset/customized_dataset.py	KGGLMDatasetMixin._get_field_from_config		7	0	0		100%
hopwise/data/dataset/customized_dataset.py	KGGLMDatasetMixin.generate_user_path_dataset		3	0	0		100%
hopwise/data/dataset/customized_dataset.py	KGGLMDatasetMixin.generate_pretrain_dataset		39	0	0		100%
hopwise/data/dataset/customized_dataset.py	_kgglm_csr_parallel_random_walks		30	30	0		0%
hopwise/data/dataset/customized_dataset.py	KGGLMDataset._get_entity_ids_range		3	0	0		100%
hopwise/data/dataset/customized_dataset.py	UserItemKGGLMDataset._get_entity_ids_range		5	0	0		100%
hopwise/data/dataset/customized_dataset.py	TPRecTimestampDataset.__init__		25	25	0		0%
hopwise/data/dataset/customized_dataset.py	TPRecTimestampDataset.test_knn_cluster		12	12	0		0%
hopwise/data/dataset/customized_dataset.py	TPRecTimestampDataset._get_all_cluster_feature		15	15	0		0%
hopwise/data/dataset/customized_dataset.py	TPRecTimestampDataset._get_w_stat_cluster_feature		12	12	0		0%
hopwise/data/dataset/customized_dataset.py	TPRecTimestampDataset._get_w_stru_cluster_feature		4	4	0		0%
hopwise/data/dataset/customized_dataset.py	TPRecTimestampDataset._timeanalysis		20	20	0		0%
hopwise/data/dataset/customized_dataset.py	TPRecTimestampDataset._hierarchicalTime		8	8	0		0%
hopwise/data/dataset/customized_dataset.py	TPRecTimestampDataset._generate_clus_dict		11	11	0		0%
hopwise/data/dataset/customized_dataset.py	TPRecTimestampDataset._generate_user_agent_num		8	8	0		0%
hopwise/data/dataset/customized_dataset.py	TPRecTimestampDataset._structuralWithGap		15	15	0		0%
hopwise/data/dataset/customized_dataset.py	TPRecTimestampDataset._get_season		2	2	0		0%
hopwise/data/dataset/customized_dataset.py	TPRecDataset.__init__		1	1	0		0%
hopwise/data/dataset/customized_dataset.py	TPRecDataset.build		8	8	0		0%
hopwise/data/dataset/customized_dataset.py	RPGDataset.__init__		8	0	0		100%
hopwise/data/dataset/customized_dataset.py	RPGDataset.n_digit		1	0	0		100%
hopwise/data/dataset/customized_dataset.py	RPGDataset.vocab_size		1	0	0		100%
hopwise/data/dataset/customized_dataset.py	RPGDataset._get_codebook_bits		4	1	0		75%
hopwise/data/dataset/customized_dataset.py	RPGDataset.build		10	0	0		100%
hopwise/data/dataset/customized_dataset.py	RPGDataset.OPQ		24	1	0		96%
hopwise/data/dataset/customized_dataset.py	RPGDataset.shift_semantic_ids		5	0	0		100%
hopwise/data/dataset/customized_dataset.py	RPGDataset.__str__		4	4	0		0%
hopwise/data/dataset/customized_dataset.py	(no function)		56	0	1		100%
hopwise/data/dataset/dataset.py	Dataset.__init__		5	0	0		100%
hopwise/data/dataset/dataset.py	Dataset._from_scratch		6	0	0		100%
hopwise/data/dataset/dataset.py	Dataset._get_preset		10	0	0		100%
hopwise/data/dataset/dataset.py	Dataset._get_field_from_config		8	1	0		88%
hopwise/data/dataset/dataset.py	Dataset._data_processing		10	0	0		100%
hopwise/data/dataset/dataset.py	Dataset._data_filtering		6	0	0		100%
hopwise/data/dataset/dataset.py	Dataset._build_feat_name_list		6	0	0		100%
hopwise/data/dataset/dataset.py	Dataset._get_download_url		9	9	0		0%
hopwise/data/dataset/dataset.py	Dataset._download		17	17	0		0%
hopwise/data/dataset/dataset.py	Dataset._load_data		6	1	0		83%
hopwise/data/dataset/dataset.py	Dataset._load_inter_feat		22	2	0		91%
hopwise/data/dataset/dataset.py	Dataset._load_user_or_item_feat		16	2	0		88%
hopwise/data/dataset/dataset.py	Dataset._load_additional_feat		15	3	0		80%
hopwise/data/dataset/dataset.py	Dataset._get_load_and_unload_col		18	3	0		83%
hopwise/data/dataset/dataset.py	Dataset._load_feat		53	8	0		85%
hopwise/data/dataset/dataset.py	Dataset._set_alias		4	0	0		100%
hopwise/data/dataset/dataset.py	Dataset._init_alias		14	2	0		86%
hopwise/data/dataset/dataset.py	Dataset._user_item_feat_preparation		8	0	0		100%
hopwise/data/dataset/dataset.py	Dataset._preload_weight_matrix		35	9	0		74%
hopwise/data/dataset/dataset.py	Dataset._fill_nan		11	0	0		100%
hopwise/data/dataset/dataset.py	Dataset._normalize		23	6	0		74%
hopwise/data/dataset/dataset.py	Dataset._normalize.norm		6	2	0		67%
hopwise/data/dataset/dataset.py	Dataset._discretization		44	41	0		7%
hopwise/data/dataset/dataset.py	Dataset._discretization.disc		13	13	0		0%
hopwise/data/dataset/dataset.py	Dataset._filter_nan_user_or_item		12	0	0		100%
hopwise/data/dataset/dataset.py	Dataset._remove_duplication		9	0	0		100%
hopwise/data/dataset/dataset.py	Dataset._filter_by_inter_num		29	1	0		97%
hopwise/data/dataset/dataset.py	Dataset._get_illegal_ids_by_inter_num		12	1	0		92%
hopwise/data/dataset/dataset.py	Dataset._parse_intervals_str		15	3	0		80%
hopwise/data/dataset/dataset.py	Dataset._within_intervals		6	0	0		100%
hopwise/data/dataset/dataset.py	Dataset._filter_by_field_value		11	3	0		73%
hopwise/data/dataset/dataset.py	Dataset._reset_index		5	1	0		80%
hopwise/data/dataset/dataset.py	Dataset._del_col		7	1	0		86%
hopwise/data/dataset/dataset.py	Dataset._filter_inter_by_user_or_item		10	0	0		100%
hopwise/data/dataset/dataset.py	Dataset._set_label_by_threshold		13	2	0		85%
hopwise/data/dataset/dataset.py	Dataset._get_remap_list		6	0	0		100%
hopwise/data/dataset/dataset.py	Dataset._remap_ID_all		6	0	0		100%
hopwise/data/dataset/dataset.py	Dataset._concat_remaped_tokens		9	0	0		100%
hopwise/data/dataset/dataset.py	Dataset._remap		16	1	0		94%
hopwise/data/dataset/dataset.py	Dataset._change_feat_format		4	0	0		100%
hopwise/data/dataset/dataset.py	Dataset.num		7	3	0		57%
hopwise/data/dataset/dataset.py	Dataset.fields		9	0	0		100%
hopwise/data/dataset/dataset.py	Dataset.float_like_fields		1	0	0		100%
hopwise/data/dataset/dataset.py	Dataset.token_like_fields		1	0	0		100%
hopwise/data/dataset/dataset.py	Dataset.seq_fields		1	1	0		0%
hopwise/data/dataset/dataset.py	Dataset.non_seq_fields		1	1	0		0%
hopwise/data/dataset/dataset.py	Dataset.set_field_property		3	0	0		100%
hopwise/data/dataset/dataset.py	Dataset.copy_field_property		3	0	0		100%
hopwise/data/dataset/dataset.py	Dataset.field2feats		15	1	0		93%
hopwise/data/dataset/dataset.py	Dataset.token2id		7	1	0		86%
hopwise/data/dataset/dataset.py	Dataset.id2token		6	4	0		33%
hopwise/data/dataset/dataset.py	Dataset.counter		7	7	0		0%
hopwise/data/dataset/dataset.py	Dataset.user_counter		2	2	0		0%
hopwise/data/dataset/dataset.py	Dataset.item_counter		2	2	0		0%
hopwise/data/dataset/dataset.py	Dataset.user_num		2	0	0		100%
hopwise/data/dataset/dataset.py	Dataset.item_num		2	0	0		100%
hopwise/data/dataset/dataset.py	Dataset.inter_num		1	0	0		100%
hopwise/data/dataset/dataset.py	Dataset.avg_actions_of_users		3	1	0		67%
hopwise/data/dataset/dataset.py	Dataset.avg_actions_of_items		3	3	0		0%
hopwise/data/dataset/dataset.py	Dataset.sparsity		1	1	0		0%
hopwise/data/dataset/dataset.py	Dataset._check_field		3	1	0		67%
hopwise/data/dataset/dataset.py	Dataset.join		5	0	0		100%
hopwise/data/dataset/dataset.py	Dataset.__getitem__		2	0	0		100%
hopwise/data/dataset/dataset.py	Dataset.__len__		1	0	0		100%
hopwise/data/dataset/dataset.py	Dataset.__repr__		1	1	0		0%
hopwise/data/dataset/dataset.py	Dataset.__str__		10	10	0		0%
hopwise/data/dataset/dataset.py	Dataset.copy		3	0	0		100%
hopwise/data/dataset/dataset.py	Dataset._drop_unused_col		10	7	0		30%
hopwise/data/dataset/dataset.py	Dataset._grouped_index		6	0	0		100%
hopwise/data/dataset/dataset.py	Dataset._calcu_split_ids		10	0	0		100%
hopwise/data/dataset/dataset.py	Dataset.split_by_ratio		18	0	0		100%
hopwise/data/dataset/dataset.py	Dataset._split_index_by_leave_one_out		11	0	0		100%
hopwise/data/dataset/dataset.py	Dataset.leave_one_out		17	2	0		88%
hopwise/data/dataset/dataset.py	Dataset.shuffle		1	0	0		100%
hopwise/data/dataset/dataset.py	Dataset.sort		1	0	0		100%
hopwise/data/dataset/dataset.py	Dataset.build		32	6	0		81%
hopwise/data/dataset/dataset.py	Dataset.save		6	6	0		0%
hopwise/data/dataset/dataset.py	Dataset.get_user_feature		4	2	0		50%
hopwise/data/dataset/dataset.py	Dataset.get_item_feature		4	0	0		100%
hopwise/data/dataset/dataset.py	Dataset._create_sparse_matrix		13	2	0		85%
hopwise/data/dataset/dataset.py	Dataset._create_graph		8	8	0		0%
hopwise/data/dataset/dataset.py	Dataset.inter_matrix		3	1	0		67%
hopwise/data/dataset/dataset.py	Dataset._create_norm_adjacency_matrix		23	0	0		100%
hopwise/data/dataset/dataset.py	Dataset._create_eye_matrix		4	0	0		100%
hopwise/data/dataset/dataset.py	Dataset.norm_adjacency_matrix		3	1	0		67%
hopwise/data/dataset/dataset.py	Dataset.eye_matrix		3	1	0		67%
hopwise/data/dataset/dataset.py	Dataset._history_matrix		33	1	0		97%
hopwise/data/dataset/dataset.py	Dataset.history_item_matrix		1	0	0		100%
hopwise/data/dataset/dataset.py	Dataset.history_user_matrix		1	0	0		100%
hopwise/data/dataset/dataset.py	Dataset._get_used_ids		9	2	0		78%
hopwise/data/dataset/dataset.py	Dataset.get_user_used_ids		2	0	0		100%
hopwise/data/dataset/dataset.py	Dataset.get_item_used_ids		2	0	0		100%
hopwise/data/dataset/dataset.py	Dataset.get_preload_weight		3	1	0		67%
hopwise/data/dataset/dataset.py	Dataset._dataframe_to_interaction		23	6	0		74%
hopwise/data/dataset/dataset.py	(no function)		121	0	0		100%
hopwise/data/dataset/decisiontree_dataset.py	DecisionTreeDataset.__init__		1	1	0		0%
hopwise/data/dataset/decisiontree_dataset.py	DecisionTreeDataset._judge_token_and_convert		30	30	0		0%
hopwise/data/dataset/decisiontree_dataset.py	DecisionTreeDataset._convert_token_to_hash		9	9	0		0%
hopwise/data/dataset/decisiontree_dataset.py	DecisionTreeDataset._from_scratch		2	2	0		0%
hopwise/data/dataset/decisiontree_dataset.py	(no function)		7	0	0		100%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset.__init__		1	0	0		100%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset._get_field_from_config		13	0	0		100%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset._data_filtering		3	0	0		100%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset._filter_kg_by_triple_num		30	1	0		97%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset.build		56	29	0		48%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset.copy		5	1	0		80%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset.split_by_ratio		21	3	0		86%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset.tail_num		2	2	0		0%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset.get_tail_feature		4	4	0		0%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset._filter_link		27	0	0		100%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset._download		13	13	0		0%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset._load_data		4	0	0		100%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset.kg_num		1	0	0		100%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset.sparsity_kg		1	1	0		0%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset.sparsity_kg_rel		1	1	0		0%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset.avg_degree_kg_item		11	11	0		0%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset.avg_degree_kg		1	1	0		0%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset.__str__		2	2	0		0%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset._build_feat_name_list		4	0	0		100%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset._load_kg		7	1	0		86%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset._check_kg		4	0	0		100%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset._load_link		11	1	0		91%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset._check_link		3	0	0		100%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset._init_alias		4	0	0		100%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset._get_rec_item_token		3	0	0		100%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset._get_entity_token		3	0	0		100%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset._reset_ent_remapID		12	3	0		75%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset._merge_item_and_entity		27	0	0		100%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset._add_auxiliary_relation		20	0	0		100%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset._remap_ID_all		3	0	0		100%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset.relation_num		1	0	0		100%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset.entity_num		1	0	0		100%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset.auxiliary_entity_num		1	1	0		0%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset.head_entities		1	0	0		100%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset.tail_entities		1	0	0		100%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset.relations		1	0	0		100%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset.norm_ckg_adjacency_matrix		3	3	0		0%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset._create_norm_ckg_adjacency_matrix		13	0	0		100%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset.entities		1	1	0		0%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset.kg_graph		6	3	0		50%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset._create_ckg_source_target		19	10	0		47%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset._create_ckg_sparse_matrix		16	2	0		88%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset._create_ckg_graph		13	13	0		0%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset._create_ckg_igraph		18	2	0		89%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset.ckg_graph		10	6	0		40%
hopwise/data/dataset/kg_dataset.py	KnowledgeBasedDataset.ckg_dict_graph		33	0	0		100%
hopwise/data/dataset/kg_dataset.py	UserItemKnowledgeBasedDataset.auxiliary_entity_num		1	1	0		0%
hopwise/data/dataset/kg_dataset.py	UserItemKnowledgeBasedDataset._filter_link		44	0	0		100%
hopwise/data/dataset/kg_dataset.py	UserItemKnowledgeBasedDataset._load_data		4	0	0		100%
hopwise/data/dataset/kg_dataset.py	UserItemKnowledgeBasedDataset.__str__		2	2	0		0%
hopwise/data/dataset/kg_dataset.py	UserItemKnowledgeBasedDataset._load_link		17	1	0		94%
hopwise/data/dataset/kg_dataset.py	UserItemKnowledgeBasedDataset._check_link		5	0	0		100%
hopwise/data/dataset/kg_dataset.py	UserItemKnowledgeBasedDataset._get_rec_token		3	0	0		100%
hopwise/data/dataset/kg_dataset.py	UserItemKnowledgeBasedDataset._merge_item_and_entity		43	0	0		100%
hopwise/data/dataset/kg_dataset.py	UserItemKnowledgeBasedDataset._filter_kg_by_triple_num		35	17	0		51%
hopwise/data/dataset/kg_dataset.py	UserItemKnowledgeBasedDataset._create_ckg_source_target		18	10	0		44%
hopwise/data/dataset/kg_dataset.py	UserItemKnowledgeBasedDataset._create_ckg_sparse_matrix		15	3	0		80%
hopwise/data/dataset/kg_dataset.py	UserItemKnowledgeBasedDataset._create_ckg_igraph		17	17	0		0%
hopwise/data/dataset/kg_dataset.py	(no function)		86	0	0		100%
hopwise/data/dataset/kg_path_dataset.py	CSRGraph.from_sparse_matrix		4	0	0		100%
hopwise/data/dataset/kg_path_dataset.py	CSRGraph.unpack		1	0	0		100%
hopwise/data/dataset/kg_path_dataset.py	_run_batched_numba		20	1	0		95%
hopwise/data/dataset/kg_path_dataset.py	KnowledgePathDataset.__init__		8	0	0		100%
hopwise/data/dataset/kg_path_dataset.py	KnowledgePathDataset._get_field_from_config		23	3	0		87%
hopwise/data/dataset/kg_path_dataset.py	KnowledgePathDataset.path_dataset		3	1	0		67%
hopwise/data/dataset/kg_path_dataset.py	KnowledgePathDataset.tokenizer		1	0	0		100%
hopwise/data/dataset/kg_path_dataset.py	KnowledgePathDataset.tokenized_dataset		3	1	0		67%
hopwise/data/dataset/kg_path_dataset.py	KnowledgePathDataset.__len__		1	0	0		100%
hopwise/data/dataset/kg_path_dataset.py	KnowledgePathDataset.__getitem__		4	2	0		50%
hopwise/data/dataset/kg_path_dataset.py	KnowledgePathDataset._init_tokenizer		16	0	0		100%
hopwise/data/dataset/kg_path_dataset.py	KnowledgePathDataset._igraph_triple_to_tokenizer_triple		21	2	0		90%
hopwise/data/dataset/kg_path_dataset.py	KnowledgePathDataset.get_tokenized_ckg		23	1	0		96%
hopwise/data/dataset/kg_path_dataset.py	KnowledgePathDataset.tokenize		1	0	0		100%
hopwise/data/dataset/kg_path_dataset.py	KnowledgePathDataset.tokenize_path_dataset		6	0	0		100%
hopwise/data/dataset/kg_path_dataset.py	KnowledgePathDataset.build		4	0	0		100%
hopwise/data/dataset/kg_path_dataset.py	KnowledgePathDataset.get_tokenized_used_ids		8	0	0		100%
hopwise/data/dataset/kg_path_dataset.py	KnowledgePathDataset.generate_user_path_dataset		7	1	0		86%
hopwise/data/dataset/kg_path_dataset.py	KnowledgePathDataset.generate_user_paths		18	2	0		89%
hopwise/data/dataset/kg_path_dataset.py	KnowledgePathDataset._generate_user_paths_weighted_random_walk		94	9	0		90%
hopwise/data/dataset/kg_path_dataset.py	KnowledgePathDataset._generate_user_paths_constrained_random_walk		90	5	0		94%
hopwise/data/dataset/kg_path_dataset.py	KnowledgePathDataset._generate_user_paths_all_simple_ui		119	12	0		90%
hopwise/data/dataset/kg_path_dataset.py	KnowledgePathDataset._check_kg_path		8	0	0		100%
hopwise/data/dataset/kg_path_dataset.py	KnowledgePathDataset._format_path		17	0	0		100%
hopwise/data/dataset/kg_path_dataset.py	KnowledgePathDataset.__str__		2	2	0		0%
hopwise/data/dataset/kg_path_dataset.py	UserItemKnowledgePathDataset.__init__		7	0	0		100%
hopwise/data/dataset/kg_path_dataset.py	_csr_parallel_random_walks		29	29	0		0%
hopwise/data/dataset/kg_path_dataset.py	_csr_constrained_random_walks		50	50	0		0%
hopwise/data/dataset/kg_path_dataset.py	(no function)		51	0	0		100%
hopwise/data/dataset/kg_seq_dataset.py	KGSeqDataset.__init__		1	0	0		100%
hopwise/data/dataset/kg_seq_dataset.py	(no function)		3	0	0		100%
hopwise/data/dataset/sequential_dataset.py	SequentialDataset.__init__		5	0	0		100%
hopwise/data/dataset/sequential_dataset.py	SequentialDataset._change_feat_format		5	0	0		100%
hopwise/data/dataset/sequential_dataset.py	SequentialDataset._aug_presets		14	1	0		93%
hopwise/data/dataset/sequential_dataset.py	SequentialDataset.data_augmentation		38	1	0		97%
hopwise/data/dataset/sequential_dataset.py	SequentialDataset._benchmark_presets		7	0	0		100%
hopwise/data/dataset/sequential_dataset.py	SequentialDataset.inter_matrix		15	1	0		93%
hopwise/data/dataset/sequential_dataset.py	SequentialDataset.build		4	1	0		75%
hopwise/data/dataset/sequential_dataset.py	(no function)		13	0	0		100%
hopwise/data/interaction.py	_convert_to_tensor		10	3	0		70%
hopwise/data/interaction.py	Interaction.__init__		16	6	0		62%
hopwise/data/interaction.py	Interaction.__iter__		1	0	0		100%
hopwise/data/interaction.py	Interaction.__getattr__		5	1	0		80%
hopwise/data/interaction.py	Interaction.__getitem__		8	0	0		100%
hopwise/data/interaction.py	Interaction.__setitem__		3	1	0		67%
hopwise/data/interaction.py	Interaction.__delitem__		3	3	0		0%
hopwise/data/interaction.py	Interaction.__contains__		1	0	0		100%
hopwise/data/interaction.py	Interaction.__len__		1	0	0		100%
hopwise/data/interaction.py	Interaction.__str__		7	7	0		0%
hopwise/data/interaction.py	Interaction.__repr__		1	1	0		0%
hopwise/data/interaction.py	Interaction.columns		1	0	0		100%
hopwise/data/interaction.py	Interaction.size		4	4	0		0%
hopwise/data/interaction.py	Interaction.to		12	6	0		50%
hopwise/data/interaction.py	Interaction.cpu		4	4	0		0%
hopwise/data/interaction.py	Interaction.numpy		4	0	0		100%
hopwise/data/interaction.py	Interaction.repeat		4	0	0		100%
hopwise/data/interaction.py	Interaction.repeat_interleave		4	0	0		100%
hopwise/data/interaction.py	Interaction.update		2	0	0		100%
hopwise/data/interaction.py	Interaction.drop		3	3	0		0%
hopwise/data/interaction.py	Interaction._reindex		2	0	0		100%
hopwise/data/interaction.py	Interaction.shuffle		2	0	0		100%
hopwise/data/interaction.py	Interaction.sort		28	11	0		61%
hopwise/data/interaction.py	Interaction.add_prefix		1	0	0		100%
hopwise/data/interaction.py	cat_interactions		10	3	0		70%
hopwise/data/interaction.py	(no function)		32	0	0		100%
hopwise/data/transform.py	construct_transform		6	1	0		83%
hopwise/data/transform.py	Equal.__init__		1	0	0		100%
hopwise/data/transform.py	Equal.__call__		1	0	0		100%
hopwise/data/transform.py	MaskItemSequence.__init__		16	0	0		100%
hopwise/data/transform.py	MaskItemSequence._neg_sample		4	0	0		100%
hopwise/data/transform.py	MaskItemSequence._padding_sequence		4	0	0		100%
hopwise/data/transform.py	MaskItemSequence._append_mask_last		20	0	0		100%
hopwise/data/transform.py	MaskItemSequence.__call__		36	0	0		100%
hopwise/data/transform.py	InverseItemSequence.__init__		4	0	0		100%
hopwise/data/transform.py	InverseItemSequence.__call__		15	0	0		100%
hopwise/data/transform.py	CropItemSequence.__init__		7	0	0		100%
hopwise/data/transform.py	CropItemSequence.__call__		16	1	0		94%
hopwise/data/transform.py	ReorderItemSequence.__init__		5	0	0		100%
hopwise/data/transform.py	ReorderItemSequence.__call__		15	0	0		100%
hopwise/data/transform.py	UserDefinedTransform.__init__		1	1	0		0%
hopwise/data/transform.py	UserDefinedTransform.__call__		1	1	0		0%
hopwise/data/transform.py	(no function)		28	0	0		100%
hopwise/data/utils.py	create_dataset		34	12	0		65%
hopwise/data/utils.py	_get_dataloader_name		18	0	0		100%
hopwise/data/utils.py	save_split_dataloaders		24	24	0		0%
hopwise/data/utils.py	load_split_dataloaders		54	47	0		13%
hopwise/data/utils.py	data_preparation		46	20	0		57%
hopwise/data/utils.py	get_dataloader		23	6	0		74%
hopwise/data/utils.py	_get_user_dataloader		11	4	0		64%
hopwise/data/utils.py	_create_sampler		10	0	0		100%
hopwise/data/utils.py	create_samplers		11	0	0		100%
hopwise/data/utils.py	(no function)		18	0	0		100%
hopwise/evaluator/__init__.py	(no function)		5	0	0		100%
hopwise/evaluator/base_metric.py	AbstractMetric.__init__		1	0	0		100%
hopwise/evaluator/base_metric.py	AbstractMetric.__init_subclass__		7	0	0		100%
hopwise/evaluator/base_metric.py	AbstractMetric.calculate_metric		1	1	0		0%
hopwise/evaluator/base_metric.py	TopkMetric.__init__		2	0	0		100%
hopwise/evaluator/base_metric.py	TopkMetric.used_info		4	0	0		100%
hopwise/evaluator/base_metric.py	TopkMetric.topk_result		6	0	0		100%
hopwise/evaluator/base_metric.py	TopkMetric.metric_info		1	1	0		0%
hopwise/evaluator/base_metric.py	LossMetric.__init__		1	0	0		100%
hopwise/evaluator/base_metric.py	LossMetric.used_info		3	0	0		100%
hopwise/evaluator/base_metric.py	LossMetric.output_metric		3	0	0		100%
hopwise/evaluator/base_metric.py	LossMetric.metric_info		1	1	0		0%
hopwise/evaluator/base_metric.py	ConsumerTopKMetric.__init__		5	1	0		80%
hopwise/evaluator/base_metric.py	ConsumerTopKMetric.ranking_metric		3	1	0		67%
hopwise/evaluator/base_metric.py	ConsumerTopKMetric.ranking_metric		3	1	0		67%
hopwise/evaluator/base_metric.py	ConsumerTopKMetric.get_group_mask		3	0	0		100%
hopwise/evaluator/base_metric.py	ConsumerTopKMetric.used_info		3	3	0		0%
hopwise/evaluator/base_metric.py	ConsumerTopKMetric.get_dp		3	0	0		100%
hopwise/evaluator/base_metric.py	ConsumerTopKMetric.ranking_metric_info		1	1	0		0%
hopwise/evaluator/base_metric.py	ConsumerTopKMetric.calculate_metric		6	6	0		0%
hopwise/evaluator/base_metric.py	PathQualityMetric.__init__		2	0	0		100%
hopwise/evaluator/base_metric.py	PathQualityMetric.used_info		2	0	0		100%
hopwise/evaluator/base_metric.py	PathQualityMetric.normalized_ema		6	1	0		83%
hopwise/evaluator/base_metric.py	PathQualityMetric.topk_result		6	0	0		100%
hopwise/evaluator/base_metric.py	(no function)		47	0	0		100%
hopwise/evaluator/collector.py	DataStruct.__init__		1	0	0		100%
hopwise/evaluator/collector.py	DataStruct.__getitem__		1	0	0		100%
hopwise/evaluator/collector.py	DataStruct.__setitem__		1	1	0		0%
hopwise/evaluator/collector.py	DataStruct.__delitem__		1	0	0		100%
hopwise/evaluator/collector.py	DataStruct.__contains__		1	0	0		100%
hopwise/evaluator/collector.py	DataStruct.get		3	1	0		67%
hopwise/evaluator/collector.py	DataStruct.set		1	0	0		100%
hopwise/evaluator/collector.py	DataStruct.update_tensor		7	2	0		71%
hopwise/evaluator/collector.py	DataStruct.__str__		4	4	0		0%
hopwise/evaluator/collector.py	Collector.__init__		6	0	0		100%
hopwise/evaluator/collector.py	Collector.train_data_collect		17	11	0		35%
hopwise/evaluator/collector.py	Collector.eval_data_collect		4	4	0		0%
hopwise/evaluator/collector.py	Collector._average_rank		8	8	0		0%
hopwise/evaluator/collector.py	Collector.eval_batch_collect		30	14	0		53%
hopwise/evaluator/collector.py	Collector.model_collect		2	1	0		50%
hopwise/evaluator/collector.py	Collector.eval_collect		5	0	0		100%
hopwise/evaluator/collector.py	Collector.get_data_struct		9	0	0		100%
hopwise/evaluator/collector.py	Collector_KG.__init__		3	3	0		0%
hopwise/evaluator/collector.py	ExplainableCollector.__init__		2	0	0		100%
hopwise/evaluator/collector.py	ExplainableCollector.train_data_collect		12	7	0		42%
hopwise/evaluator/collector.py	ExplainableCollector.node_degree_dict		10	10	0		0%
hopwise/evaluator/collector.py	ExplainableCollector.eval_batch_collect		4	1	0		75%
hopwise/evaluator/collector.py	(no function)		30	0	0		100%
hopwise/evaluator/evaluator.py	Evaluator.__init__		5	0	0		100%
hopwise/evaluator/evaluator.py	Evaluator.evaluate		5	0	0		100%
hopwise/evaluator/evaluator.py	Evaluator_KG.__init__		5	5	0		0%
hopwise/evaluator/evaluator.py	(no function)		8	0	0		100%
hopwise/evaluator/metrics.py	Hit.__init__		1	0	0		100%
hopwise/evaluator/metrics.py	Hit.calculate_metric		4	0	0		100%
hopwise/evaluator/metrics.py	Hit.metric_info		2	0	0		100%
hopwise/evaluator/metrics.py	MRR.__init__		1	0	0		100%
hopwise/evaluator/metrics.py	MRR.calculate_metric		4	0	0		100%
hopwise/evaluator/metrics.py	MRR.metric_info		7	0	0		100%
hopwise/evaluator/metrics.py	MAP.__init__		2	0	0		100%
hopwise/evaluator/metrics.py	MAP.calculate_metric		4	4	0		0%
hopwise/evaluator/metrics.py	MAP.metric_info		10	0	0		100%
hopwise/evaluator/metrics.py	Recall.__init__		1	0	0		100%
hopwise/evaluator/metrics.py	Recall.calculate_metric		4	0	0		100%
hopwise/evaluator/metrics.py	Recall.metric_info		1	0	0		100%
hopwise/evaluator/metrics.py	NDCG.__init__		1	0	0		100%
hopwise/evaluator/metrics.py	NDCG.calculate_metric		4	0	0		100%
hopwise/evaluator/metrics.py	NDCG.metric_info		13	0	0		100%
hopwise/evaluator/metrics.py	Precision.__init__		1	0	0		100%
hopwise/evaluator/metrics.py	Precision.calculate_metric		4	0	0		100%
hopwise/evaluator/metrics.py	Precision.metric_info		1	0	0		100%
hopwise/evaluator/metrics.py	GAUC.__init__		1	0	0		100%
hopwise/evaluator/metrics.py	GAUC.calculate_metric		5	5	0		0%
hopwise/evaluator/metrics.py	GAUC.metric_info		19	0	0		100%
hopwise/evaluator/metrics.py	AUC.__init__		1	0	0		100%
hopwise/evaluator/metrics.py	AUC.calculate_metric		1	0	0		100%
hopwise/evaluator/metrics.py	AUC.metric_info		19	6	0		68%
hopwise/evaluator/metrics.py	MAE.__init__		1	0	0		100%
hopwise/evaluator/metrics.py	MAE.calculate_metric		1	0	0		100%
hopwise/evaluator/metrics.py	MAE.metric_info		1	0	0		100%
hopwise/evaluator/metrics.py	RMSE.__init__		1	0	0		100%
hopwise/evaluator/metrics.py	RMSE.calculate_metric		1	0	0		100%
hopwise/evaluator/metrics.py	RMSE.metric_info		1	0	0		100%
hopwise/evaluator/metrics.py	LogLoss.__init__		1	0	0		100%
hopwise/evaluator/metrics.py	LogLoss.calculate_metric		1	0	0		100%
hopwise/evaluator/metrics.py	LogLoss.metric_info		5	0	0		100%
hopwise/evaluator/metrics.py	ItemCoverage.__init__		2	0	0		100%
hopwise/evaluator/metrics.py	ItemCoverage.used_info		3	3	0		0%
hopwise/evaluator/metrics.py	ItemCoverage.calculate_metric		6	6	0		0%
hopwise/evaluator/metrics.py	ItemCoverage.get_coverage		2	0	0		100%
hopwise/evaluator/metrics.py	AveragePopularity.__init__		2	0	0		100%
hopwise/evaluator/metrics.py	AveragePopularity.used_info		3	3	0		0%
hopwise/evaluator/metrics.py	AveragePopularity.calculate_metric		4	4	0		0%
hopwise/evaluator/metrics.py	AveragePopularity.get_pop		6	0	0		100%
hopwise/evaluator/metrics.py	AveragePopularity.metric_info		1	0	0		100%
hopwise/evaluator/metrics.py	AveragePopularity.topk_result		6	6	0		0%
hopwise/evaluator/metrics.py	ShannonEntropy.__init__		2	0	0		100%
hopwise/evaluator/metrics.py	ShannonEntropy.used_info		2	2	0		0%
hopwise/evaluator/metrics.py	ShannonEntropy.calculate_metric		6	6	0		0%
hopwise/evaluator/metrics.py	ShannonEntropy.get_entropy		7	0	0		100%
hopwise/evaluator/metrics.py	GiniIndex.__init__		2	0	0		100%
hopwise/evaluator/metrics.py	GiniIndex.used_info		3	3	0		0%
hopwise/evaluator/metrics.py	GiniIndex.calculate_metric		6	6	0		0%
hopwise/evaluator/metrics.py	GiniIndex.get_gini		8	0	0		100%
hopwise/evaluator/metrics.py	TailPercentage.__init__		5	0	0		100%
hopwise/evaluator/metrics.py	TailPercentage.used_info		3	3	0		0%
hopwise/evaluator/metrics.py	TailPercentage.get_tail		12	1	0		92%
hopwise/evaluator/metrics.py	TailPercentage.calculate_metric		4	4	0		0%
hopwise/evaluator/metrics.py	TailPercentage.metric_info		1	0	0		100%
hopwise/evaluator/metrics.py	TailPercentage.topk_result		6	6	0		0%
hopwise/evaluator/metrics.py	create_consumer_metric_class		13	0	0		100%
hopwise/evaluator/metrics.py	create_consumer_metric_class.ranking_metric_info		1	0	0		100%
hopwise/evaluator/metrics.py	create_consumer_metric_class.factory_init		2	0	0		100%
hopwise/evaluator/metrics.py	Serendipity.__init__		2	0	0		100%
hopwise/evaluator/metrics.py	Serendipity.used_info		9	0	0		100%
hopwise/evaluator/metrics.py	Serendipity.get_popularity_rank		8	0	0		100%
hopwise/evaluator/metrics.py	Serendipity.metric_info		1	0	0		100%
hopwise/evaluator/metrics.py	Serendipity.calculate_metric		5	0	0		100%
hopwise/evaluator/metrics.py	Serendipity.topk_result		6	0	0		100%
hopwise/evaluator/metrics.py	Novelty.__init__		2	0	0		100%
hopwise/evaluator/metrics.py	Novelty.used_info		4	0	0		100%
hopwise/evaluator/metrics.py	Novelty.metric_info		6	0	0		100%
hopwise/evaluator/metrics.py	Novelty.calculate_metric		8	0	0		100%
hopwise/evaluator/metrics.py	Fidelity.__init__		2	0	0		100%
hopwise/evaluator/metrics.py	Fidelity.calculate_metric		4	0	0		100%
hopwise/evaluator/metrics.py	Fidelity.metric_info		9	0	0		100%
hopwise/evaluator/metrics.py	Fidelity.topk_result		6	0	0		100%
hopwise/evaluator/metrics.py	LIR.__init__		2	0	0		100%
hopwise/evaluator/metrics.py	LIR.calculate_metric		7	0	0		100%
hopwise/evaluator/metrics.py	LIR.get_lir_matrix		12	1	0		92%
hopwise/evaluator/metrics.py	LIR.metric_info		7	0	0		100%
hopwise/evaluator/metrics.py	SEP.__init__		1	0	0		100%
hopwise/evaluator/metrics.py	SEP.calculate_metric		6	0	0		100%
hopwise/evaluator/metrics.py	SEP.get_sep_matrix		11	0	0		100%
hopwise/evaluator/metrics.py	SEP.metric_info		9	1	0		89%
hopwise/evaluator/metrics.py	LID.__init__		1	0	0		100%
hopwise/evaluator/metrics.py	LID.calculate_metric		4	0	0		100%
hopwise/evaluator/metrics.py	LID.metric_info		16	2	0		88%
hopwise/evaluator/metrics.py	SED.__init__		1	0	0		100%
hopwise/evaluator/metrics.py	SED.calculate_metric		4	0	0		100%
hopwise/evaluator/metrics.py	SED.metric_info		16	2	0		88%
hopwise/evaluator/metrics.py	PTD.__init__		1	0	0		100%
hopwise/evaluator/metrics.py	PTD.calculate_metric		5	0	0		100%
hopwise/evaluator/metrics.py	PTD.metric_info		18	2	0		89%
hopwise/evaluator/metrics.py	PTC.__init__		1	0	0		100%
hopwise/evaluator/metrics.py	PTC.calculate_metric		5	0	0		100%
hopwise/evaluator/metrics.py	PTC.metric_info		21	1	0		95%
hopwise/evaluator/metrics.py	PPT.__init__		1	0	0		100%
hopwise/evaluator/metrics.py	PPT.calculate_metric		6	0	0		100%
hopwise/evaluator/metrics.py	PPT.metric_info		13	0	0		100%
hopwise/evaluator/metrics.py	LITD.__init__		1	0	0		100%
hopwise/evaluator/metrics.py	LITD.calculate_metric		4	0	0		100%
hopwise/evaluator/metrics.py	LITD.metric_info		13	0	0		100%
hopwise/evaluator/metrics.py	SETD.__init__		1	0	0		100%
hopwise/evaluator/metrics.py	SETD.calculate_metric		4	0	0		100%
hopwise/evaluator/metrics.py	SETD.metric_info		13	0	0		100%
hopwise/evaluator/metrics.py	(no function)		171	0	0		100%
hopwise/evaluator/register.py	cluster_info		15	2	0		87%
hopwise/evaluator/register.py	Register.__init__		3	0	0		100%
hopwise/evaluator/register.py	Register._build_register		4	0	0		100%
hopwise/evaluator/register.py	Register.has_metric		3	3	0		0%
hopwise/evaluator/register.py	Register.need		3	0	0		100%
hopwise/evaluator/register.py	Register_KG.__init__		3	3	0		0%
hopwise/evaluator/register.py	(no function)		12	0	0		100%
hopwise/evaluator/utils.py	pad_sequence		12	12	0		0%
hopwise/evaluator/utils.py	trunc		6	6	0		0%
hopwise/evaluator/utils.py	cutoff		1	1	0		0%
hopwise/evaluator/utils.py	_binary_clf_curve		9	0	0		100%
hopwise/evaluator/utils.py	plot_tsne_embeddings		11	11	0		0%
hopwise/evaluator/utils.py	train_tsne		10	10	0		0%
hopwise/evaluator/utils.py	(no function)		11	0	0		100%
hopwise/model/abstract_recommender.py	AbstractRecommender.__init__		3	0	0		100%
hopwise/model/abstract_recommender.py	AbstractRecommender.calculate_loss		1	1	0		0%
hopwise/model/abstract_recommender.py	AbstractRecommender.predict		1	1	0		0%
hopwise/model/abstract_recommender.py	AbstractRecommender.full_sort_predict		1	0	0		100%
hopwise/model/abstract_recommender.py	AbstractRecommender.full_sort_predict_kg		1	1	0		0%
hopwise/model/abstract_recommender.py	AbstractRecommender.other_parameter		3	1	0		67%
hopwise/model/abstract_recommender.py	AbstractRecommender.load_other_parameter		4	2	0		50%
hopwise/model/abstract_recommender.py	AbstractRecommender.__str__		3	3	0		0%
hopwise/model/abstract_recommender.py	GeneralRecommender.__init__		7	0	0		100%
hopwise/model/abstract_recommender.py	AutoEncoderMixin.build_histroy_items		3	0	0		100%
hopwise/model/abstract_recommender.py	AutoEncoderMixin.get_rating_matrix		5	0	0		100%
hopwise/model/abstract_recommender.py	SequentialRecommender.__init__		10	0	0		100%
hopwise/model/abstract_recommender.py	SequentialRecommender.gather_indexes		3	0	0		100%
hopwise/model/abstract_recommender.py	SequentialRecommender.get_attention_mask		6	0	0		100%
hopwise/model/abstract_recommender.py	KnowledgeRecommender.__init__		15	0	0		100%
hopwise/model/abstract_recommender.py	ExplainableRecommender.explain		1	1	0		0%
hopwise/model/abstract_recommender.py	ExplainableRecommender.decode_path		1	1	0		0%
hopwise/model/abstract_recommender.py	PathLanguageModelingRecommender.__init__		6	0	0		100%
hopwise/model/abstract_recommender.py	PathLanguageModelingRecommender.generate		15	2	0		87%
hopwise/model/abstract_recommender.py	ExplainablePathLanguageModelingRecommender.__init__		1	0	0		100%
hopwise/model/abstract_recommender.py	ExplainablePathLanguageModelingRecommender.explain		8	0	0		100%
hopwise/model/abstract_recommender.py	ExplainablePathLanguageModelingRecommender.decode_path		17	0	0		100%
hopwise/model/abstract_recommender.py	ContextRecommender.__init__		72	13	0		82%
hopwise/model/abstract_recommender.py	ContextRecommender.embed_float_fields		4	2	0		50%
hopwise/model/abstract_recommender.py	ContextRecommender.embed_float_seq_fields		25	21	0		16%
hopwise/model/abstract_recommender.py	ContextRecommender.embed_token_fields		4	1	0		75%
hopwise/model/abstract_recommender.py	ContextRecommender.embed_token_seq_fields		23	5	0		78%
hopwise/model/abstract_recommender.py	ContextRecommender.double_tower_embed_input_fields		13	3	0		77%
hopwise/model/abstract_recommender.py	ContextRecommender.concat_embed_input_fields		7	1	0		86%
hopwise/model/abstract_recommender.py	ContextRecommender.embed_input_fields		35	11	0		69%
hopwise/model/abstract_recommender.py	(no function)		54	0	0		100%
hopwise/model/context_aware_recommender/__init__.py	(no function)		18	0	0		100%
hopwise/model/context_aware_recommender/afm.py	AFM.__init__		11	0	0		100%
hopwise/model/context_aware_recommender/afm.py	AFM._init_weights		6	1	0		83%
hopwise/model/context_aware_recommender/afm.py	AFM.build_cross		9	0	0		100%
hopwise/model/context_aware_recommender/afm.py	AFM.afm_layer		9	0	0		100%
hopwise/model/context_aware_recommender/afm.py	AFM.forward		3	0	0		100%
hopwise/model/context_aware_recommender/afm.py	AFM.calculate_loss		4	0	0		100%
hopwise/model/context_aware_recommender/afm.py	AFM.predict		1	0	0		100%
hopwise/model/context_aware_recommender/afm.py	(no function)		13	0	0		100%
hopwise/model/context_aware_recommender/autoint.py	AutoInt.__init__		21	1	0		95%
hopwise/model/context_aware_recommender/autoint.py	AutoInt._init_weights		6	0	0		100%
hopwise/model/context_aware_recommender/autoint.py	AutoInt.autoint_layer		12	2	0		83%
hopwise/model/context_aware_recommender/autoint.py	AutoInt.forward		3	0	0		100%
hopwise/model/context_aware_recommender/autoint.py	AutoInt.calculate_loss		3	0	0		100%
hopwise/model/context_aware_recommender/autoint.py	AutoInt.predict		1	0	0		100%
hopwise/model/context_aware_recommender/autoint.py	(no function)		13	0	0		100%
hopwise/model/context_aware_recommender/dcn.py	DCN.__init__		15	0	0		100%
hopwise/model/context_aware_recommender/dcn.py	DCN._init_weights		6	0	0		100%
hopwise/model/context_aware_recommender/dcn.py	DCN.cross_network		6	0	0		100%
hopwise/model/context_aware_recommender/dcn.py	DCN.forward		8	0	0		100%
hopwise/model/context_aware_recommender/dcn.py	DCN.calculate_loss		4	0	0		100%
hopwise/model/context_aware_recommender/dcn.py	DCN.predict		1	0	0		100%
hopwise/model/context_aware_recommender/dcn.py	(no function)		13	0	0		100%
hopwise/model/context_aware_recommender/dcnv2.py	DCNV2.__init__		31	7	0		77%
hopwise/model/context_aware_recommender/dcnv2.py	DCNV2.cross_network		9	0	0		100%
hopwise/model/context_aware_recommender/dcnv2.py	DCNV2.cross_network_mix		21	21	0		0%
hopwise/model/context_aware_recommender/dcnv2.py	DCNV2.forward		18	8	0		56%
hopwise/model/context_aware_recommender/dcnv2.py	DCNV2.calculate_loss		7	1	0		86%
hopwise/model/context_aware_recommender/dcnv2.py	DCNV2.predict		1	0	0		100%
hopwise/model/context_aware_recommender/dcnv2.py	(no function)		13	0	0		100%
hopwise/model/context_aware_recommender/deepfm.py	DeepFM.__init__		10	0	0		100%
hopwise/model/context_aware_recommender/deepfm.py	DeepFM._init_weights		6	0	0		100%
hopwise/model/context_aware_recommender/deepfm.py	DeepFM.forward		6	0	0		100%
hopwise/model/context_aware_recommender/deepfm.py	DeepFM.calculate_loss		3	0	0		100%
hopwise/model/context_aware_recommender/deepfm.py	DeepFM.predict		1	0	0		100%
hopwise/model/context_aware_recommender/deepfm.py	(no function)		10	0	0		100%
hopwise/model/context_aware_recommender/dssm.py	DSSM.__init__		12	0	0		100%
hopwise/model/context_aware_recommender/dssm.py	DSSM._init_weights		6	0	0		100%
hopwise/model/context_aware_recommender/dssm.py	DSSM.forward		20	2	0		90%
hopwise/model/context_aware_recommender/dssm.py	DSSM.calculate_loss		3	0	0		100%
hopwise/model/context_aware_recommender/dssm.py	DSSM.predict		1	0	0		100%
hopwise/model/context_aware_recommender/dssm.py	(no function)		11	0	0		100%
hopwise/model/context_aware_recommender/eulernet.py	EulerNet.__init__		15	0	0		100%
hopwise/model/context_aware_recommender/eulernet.py	EulerNet._init_other_weights		5	0	0		100%
hopwise/model/context_aware_recommender/eulernet.py	EulerNet.forward		7	0	0		100%
hopwise/model/context_aware_recommender/eulernet.py	EulerNet.calculate_loss		3	0	0		100%
hopwise/model/context_aware_recommender/eulernet.py	EulerNet.predict		1	0	0		100%
hopwise/model/context_aware_recommender/eulernet.py	EulerNet.RegularLoss		11	1	0		91%
hopwise/model/context_aware_recommender/eulernet.py	EulerInteractionLayer.__init__		13	0	0		100%
hopwise/model/context_aware_recommender/eulernet.py	EulerInteractionLayer.forward		20	1	0		95%
hopwise/model/context_aware_recommender/eulernet.py	(no function)		15	0	0		100%
hopwise/model/context_aware_recommender/ffm.py	FFM.__init__		12	0	0		100%
hopwise/model/context_aware_recommender/ffm.py	FFM._init_weights		6	3	0		50%
hopwise/model/context_aware_recommender/ffm.py	FFM._get_feature2field		17	6	0		65%
hopwise/model/context_aware_recommender/ffm.py	FFM.get_ffm_input		21	3	0		86%
hopwise/model/context_aware_recommender/ffm.py	FFM.forward		4	0	0		100%
hopwise/model/context_aware_recommender/ffm.py	FFM.calculate_loss		3	0	0		100%
hopwise/model/context_aware_recommender/ffm.py	FFM.predict		1	0	0		100%
hopwise/model/context_aware_recommender/ffm.py	FieldAwareFactorizationMachine.__init__		47	14	0		70%
hopwise/model/context_aware_recommender/ffm.py	FieldAwareFactorizationMachine.forward		12	0	0		100%
hopwise/model/context_aware_recommender/ffm.py	FieldAwareFactorizationMachine._get_input_x_emb		13	2	0		85%
hopwise/model/context_aware_recommender/ffm.py	FieldAwareFactorizationMachine._emb_token_ffm_input		5	0	0		100%
hopwise/model/context_aware_recommender/ffm.py	FieldAwareFactorizationMachine._emb_float_ffm_input		7	4	0		43%
hopwise/model/context_aware_recommender/ffm.py	FieldAwareFactorizationMachine._emb_token_seq_ffm_input		19	0	0		100%
hopwise/model/context_aware_recommender/ffm.py	FieldAwareFactorizationMachine._emb_float_seq_ffm_input		21	18	0		14%
hopwise/model/context_aware_recommender/ffm.py	(no function)		21	0	0		100%
hopwise/model/context_aware_recommender/fignn.py	GraphLayer.__init__		6	0	0		100%
hopwise/model/context_aware_recommender/fignn.py	GraphLayer.forward		4	0	0		100%
hopwise/model/context_aware_recommender/fignn.py	FiGNN.__init__		20	0	0		100%
hopwise/model/context_aware_recommender/fignn.py	FiGNN.fignn_layer		28	1	0		96%
hopwise/model/context_aware_recommender/fignn.py	FiGNN._init_weights		9	2	0		78%
hopwise/model/context_aware_recommender/fignn.py	FiGNN.forward		3	0	0		100%
hopwise/model/context_aware_recommender/fignn.py	FiGNN.calculate_loss		3	0	0		100%
hopwise/model/context_aware_recommender/fignn.py	FiGNN.predict		1	0	0		100%
hopwise/model/context_aware_recommender/fignn.py	(no function)		18	0	0		100%
hopwise/model/context_aware_recommender/fm.py	FM.__init__		5	0	0		100%
hopwise/model/context_aware_recommender/fm.py	FM._init_weights		2	0	0		100%
hopwise/model/context_aware_recommender/fm.py	FM.forward		3	0	0		100%
hopwise/model/context_aware_recommender/fm.py	FM.calculate_loss		3	0	0		100%
hopwise/model/context_aware_recommender/fm.py	FM.predict		1	0	0		100%
hopwise/model/context_aware_recommender/fm.py	(no function)		10	0	0		100%
hopwise/model/context_aware_recommender/fnn.py	FNN.__init__		9	0	0		100%
hopwise/model/context_aware_recommender/fnn.py	FNN._init_weights		6	0	0		100%
hopwise/model/context_aware_recommender/fnn.py	FNN.forward		4	0	0		100%
hopwise/model/context_aware_recommender/fnn.py	FNN.calculate_loss		3	0	0		100%
hopwise/model/context_aware_recommender/fnn.py	FNN.predict		1	0	0		100%
hopwise/model/context_aware_recommender/fnn.py	(no function)		10	0	0		100%
hopwise/model/context_aware_recommender/fwfm.py	FwFM.__init__		16	0	0		100%
hopwise/model/context_aware_recommender/fwfm.py	FwFM._init_weights		6	3	0		50%
hopwise/model/context_aware_recommender/fwfm.py	FwFM._get_feature2field		17	6	0		65%
hopwise/model/context_aware_recommender/fwfm.py	FwFM.fwfm_layer		12	0	0		100%
hopwise/model/context_aware_recommender/fwfm.py	FwFM.forward		3	0	0		100%
hopwise/model/context_aware_recommender/fwfm.py	FwFM.calculate_loss		3	0	0		100%
hopwise/model/context_aware_recommender/fwfm.py	FwFM.predict		1	0	0		100%
hopwise/model/context_aware_recommender/fwfm.py	(no function)		12	0	0		100%
hopwise/model/context_aware_recommender/kd_dagfm.py	KD_DAGFM.__init__		14	4	0		71%
hopwise/model/context_aware_recommender/kd_dagfm.py	KD_DAGFM.get_teacher_config		5	0	0		100%
hopwise/model/context_aware_recommender/kd_dagfm.py	KD_DAGFM.FeatureInteraction		5	3	0		40%
hopwise/model/context_aware_recommender/kd_dagfm.py	KD_DAGFM.forward		9	6	0		33%
hopwise/model/context_aware_recommender/kd_dagfm.py	KD_DAGFM.calculate_loss		11	7	0		36%
hopwise/model/context_aware_recommender/kd_dagfm.py	KD_DAGFM.predict		1	0	0		100%
hopwise/model/context_aware_recommender/kd_dagfm.py	DAGFM.__init__		24	4	0		83%
hopwise/model/context_aware_recommender/kd_dagfm.py	DAGFM.FeatureInteraction		16	16	0		0%
hopwise/model/context_aware_recommender/kd_dagfm.py	CrossNet.__init__		9	0	0		100%
hopwise/model/context_aware_recommender/kd_dagfm.py	CrossNet.FeatureInteraction		12	0	0		100%
hopwise/model/context_aware_recommender/kd_dagfm.py	CrossNet.forward		1	1	0		0%
hopwise/model/context_aware_recommender/kd_dagfm.py	CINComp.__init__		3	3	0		0%
hopwise/model/context_aware_recommender/kd_dagfm.py	CINComp.forward		1	1	0		0%
hopwise/model/context_aware_recommender/kd_dagfm.py	CIN.__init__		10	10	0		0%
hopwise/model/context_aware_recommender/kd_dagfm.py	CIN.FeatureInteraction		10	10	0		0%
hopwise/model/context_aware_recommender/kd_dagfm.py	CIN.forward		1	1	0		0%
hopwise/model/context_aware_recommender/kd_dagfm.py	(no function)		27	0	0		100%
hopwise/model/context_aware_recommender/lr.py	LR.__init__		4	0	0		100%
hopwise/model/context_aware_recommender/lr.py	LR._init_weights		2	0	0		100%
hopwise/model/context_aware_recommender/lr.py	LR.forward		2	0	0		100%
hopwise/model/context_aware_recommender/lr.py	LR.calculate_loss		3	0	0		100%
hopwise/model/context_aware_recommender/lr.py	LR.predict		1	0	0		100%
hopwise/model/context_aware_recommender/lr.py	(no function)		9	0	0		100%
hopwise/model/context_aware_recommender/nfm.py	NFM.__init__		11	0	0		100%
hopwise/model/context_aware_recommender/nfm.py	NFM._init_weights		6	0	0		100%
hopwise/model/context_aware_recommender/nfm.py	NFM.forward		4	0	0		100%
hopwise/model/context_aware_recommender/nfm.py	NFM.calculate_loss		3	0	0		100%
hopwise/model/context_aware_recommender/nfm.py	NFM.predict		1	0	0		100%
hopwise/model/context_aware_recommender/nfm.py	(no function)		10	0	0		100%
hopwise/model/context_aware_recommender/pnn.py	PNN.__init__		21	0	0		100%
hopwise/model/context_aware_recommender/pnn.py	PNN.reg_loss		5	0	0		100%
hopwise/model/context_aware_recommender/pnn.py	PNN._init_weights		6	0	0		100%
hopwise/model/context_aware_recommender/pnn.py	PNN.forward		13	0	0		100%
hopwise/model/context_aware_recommender/pnn.py	PNN.calculate_loss		3	0	0		100%
hopwise/model/context_aware_recommender/pnn.py	PNN.predict		1	0	0		100%
hopwise/model/context_aware_recommender/pnn.py	InnerProductLayer.__init__		3	0	0		100%
hopwise/model/context_aware_recommender/pnn.py	InnerProductLayer.forward		10	0	0		100%
hopwise/model/context_aware_recommender/pnn.py	OuterProductLayer.__init__		7	0	0		100%
hopwise/model/context_aware_recommender/pnn.py	OuterProductLayer.forward		14	0	0		100%
hopwise/model/context_aware_recommender/pnn.py	(no function)		18	0	0		100%
hopwise/model/context_aware_recommender/widedeep.py	WideDeep.__init__		9	0	0		100%
hopwise/model/context_aware_recommender/widedeep.py	WideDeep._init_weights		6	0	0		100%
hopwise/model/context_aware_recommender/widedeep.py	WideDeep.forward		6	0	0		100%
hopwise/model/context_aware_recommender/widedeep.py	WideDeep.calculate_loss		3	0	0		100%
hopwise/model/context_aware_recommender/widedeep.py	WideDeep.predict		1	0	0		100%
hopwise/model/context_aware_recommender/widedeep.py	(no function)		10	0	0		100%
hopwise/model/context_aware_recommender/xdeepfm.py	xDeepFM.__init__		27	1	0		96%
hopwise/model/context_aware_recommender/xdeepfm.py	xDeepFM._init_weights		6	0	0		100%
hopwise/model/context_aware_recommender/xdeepfm.py	xDeepFM.reg_loss		5	0	0		100%
hopwise/model/context_aware_recommender/xdeepfm.py	xDeepFM.calculate_reg_loss		6	0	0		100%
hopwise/model/context_aware_recommender/xdeepfm.py	xDeepFM.compressed_interaction_network		25	2	0		92%
hopwise/model/context_aware_recommender/xdeepfm.py	xDeepFM.forward		7	0	0		100%
hopwise/model/context_aware_recommender/xdeepfm.py	xDeepFM.calculate_loss		4	0	0		100%
hopwise/model/context_aware_recommender/xdeepfm.py	xDeepFM.predict		1	0	0		100%
hopwise/model/context_aware_recommender/xdeepfm.py	(no function)		14	0	0		100%
hopwise/model/exlib_recommender/__init__.py	(no function)		2	0	0		100%
hopwise/model/exlib_recommender/lightgbm.py	LightGBM.__init__		1	0	0		100%
hopwise/model/exlib_recommender/lightgbm.py	LightGBM.to		1	0	0		100%
hopwise/model/exlib_recommender/lightgbm.py	LightGBM.load_state_dict		1	1	0		0%
hopwise/model/exlib_recommender/lightgbm.py	LightGBM.load_other_parameter		1	1	0		0%
hopwise/model/exlib_recommender/lightgbm.py	(no function)		9	0	0		100%
hopwise/model/exlib_recommender/xgboost.py	XGBoost.__init__		1	0	0		100%
hopwise/model/exlib_recommender/xgboost.py	XGBoost.to		1	0	0		100%
hopwise/model/exlib_recommender/xgboost.py	XGBoost.load_state_dict		1	1	0		0%
hopwise/model/exlib_recommender/xgboost.py	XGBoost.load_other_parameter		1	1	0		0%
hopwise/model/exlib_recommender/xgboost.py	(no function)		9	0	0		100%
hopwise/model/general_recommender/__init__.py	(no function)		32	0	0		100%
hopwise/model/general_recommender/admmslim.py	soft_threshold		1	0	0		100%
hopwise/model/general_recommender/admmslim.py	zero_mean_columns		1	1	0		0%
hopwise/model/general_recommender/admmslim.py	add_noise		1	0	0		100%
hopwise/model/general_recommender/admmslim.py	ADMMSLIM.__init__		33	3	0		91%
hopwise/model/general_recommender/admmslim.py	ADMMSLIM.forward		1	1	0		0%
hopwise/model/general_recommender/admmslim.py	ADMMSLIM.calculate_loss		1	0	0		100%
hopwise/model/general_recommender/admmslim.py	ADMMSLIM.predict		7	7	0		0%
hopwise/model/general_recommender/admmslim.py	ADMMSLIM.full_sort_predict		6	1	0		83%
hopwise/model/general_recommender/admmslim.py	(no function)		15	0	0		100%
hopwise/model/general_recommender/bpr.py	BPR.__init__		6	0	0		100%
hopwise/model/general_recommender/bpr.py	BPR.get_user_embedding		1	0	0		100%
hopwise/model/general_recommender/bpr.py	BPR.get_item_embedding		1	0	0		100%
hopwise/model/general_recommender/bpr.py	BPR.forward		3	0	0		100%
hopwise/model/general_recommender/bpr.py	BPR.calculate_loss		8	0	0		100%
hopwise/model/general_recommender/bpr.py	BPR.predict		4	0	0		100%
hopwise/model/general_recommender/bpr.py	BPR.full_sort_predict		5	0	0		100%
hopwise/model/general_recommender/bpr.py	(no function)		15	0	0		100%
hopwise/model/general_recommender/cdae.py	CDAE.__init__		26	7	0		73%
hopwise/model/general_recommender/cdae.py	CDAE.forward		7	0	0		100%
hopwise/model/general_recommender/cdae.py	CDAE.calculate_loss		13	3	0		77%
hopwise/model/general_recommender/cdae.py	CDAE.predict		6	6	0		0%
hopwise/model/general_recommender/cdae.py	CDAE.full_sort_predict		5	0	0		100%
hopwise/model/general_recommender/cdae.py	(no function)		12	0	0		100%
hopwise/model/general_recommender/convncf.py	ConvNCFBPRLoss.__init__		1	0	0		100%
hopwise/model/general_recommender/convncf.py	ConvNCFBPRLoss.forward		3	0	0		100%
hopwise/model/general_recommender/convncf.py	ConvNCF.__init__		23	6	0		74%
hopwise/model/general_recommender/convncf.py	ConvNCF.forward		9	0	0		100%
hopwise/model/general_recommender/convncf.py	ConvNCF.reg_loss		11	0	0		100%
hopwise/model/general_recommender/convncf.py	ConvNCF.calculate_loss		8	0	0		100%
hopwise/model/general_recommender/convncf.py	ConvNCF.predict		3	0	0		100%
hopwise/model/general_recommender/convncf.py	(no function)		17	0	0		100%
hopwise/model/general_recommender/dgcf.py	sample_cor_samples		3	0	0		100%
hopwise/model/general_recommender/dgcf.py	DGCF.__init__		39	0	0		100%
hopwise/model/general_recommender/dgcf.py	DGCF._build_sparse_tensor		1	0	0		100%
hopwise/model/general_recommender/dgcf.py	DGCF._get_ego_embeddings		4	0	0		100%
hopwise/model/general_recommender/dgcf.py	DGCF.build_matrix		16	2	0		88%
hopwise/model/general_recommender/dgcf.py	DGCF.forward		35	0	0		100%
hopwise/model/general_recommender/dgcf.py	DGCF.calculate_loss		26	2	0		92%
hopwise/model/general_recommender/dgcf.py	DGCF.create_cor_loss		11	0	0		100%
hopwise/model/general_recommender/dgcf.py	DGCF._create_distance_correlation		12	0	0		100%
hopwise/model/general_recommender/dgcf.py	DGCF._create_distance_correlation._create_centered_distance		7	0	0		100%
hopwise/model/general_recommender/dgcf.py	DGCF._create_distance_correlation._create_distance_covariance		6	0	0		100%
hopwise/model/general_recommender/dgcf.py	DGCF.predict		7	7	0		0%
hopwise/model/general_recommender/dgcf.py	DGCF.full_sort_predict		6	0	0		100%
hopwise/model/general_recommender/dgcf.py	(no function)		23	0	0		100%
hopwise/model/general_recommender/diffrec.py	DNN.__init__		12	1	0		92%
hopwise/model/general_recommender/diffrec.py	DNN.forward		8	1	0		88%
hopwise/model/general_recommender/diffrec.py	DiffRec.__init__		38	4	0		89%
hopwise/model/general_recommender/diffrec.py	DiffRec.build_histroy_items		33	1	0		97%
hopwise/model/general_recommender/diffrec.py	DiffRec.get_betas		13	8	0		38%
hopwise/model/general_recommender/diffrec.py	DiffRec.calculate_for_diffusion		14	0	0		100%
hopwise/model/general_recommender/diffrec.py	DiffRec.p_sample		20	9	0		55%
hopwise/model/general_recommender/diffrec.py	DiffRec.full_sort_predict		4	0	0		100%
hopwise/model/general_recommender/diffrec.py	DiffRec.predict		4	4	0		0%
hopwise/model/general_recommender/diffrec.py	DiffRec.calculate_loss		17	1	0		94%
hopwise/model/general_recommender/diffrec.py	DiffRec.reweight_loss		14	7	0		50%
hopwise/model/general_recommender/diffrec.py	DiffRec.update_Lt_history		13	5	0		62%
hopwise/model/general_recommender/diffrec.py	DiffRec.sample_timesteps		16	9	0		44%
hopwise/model/general_recommender/diffrec.py	DiffRec.q_sample		4	1	0		75%
hopwise/model/general_recommender/diffrec.py	DiffRec.q_posterior_mean_variance		6	0	0		100%
hopwise/model/general_recommender/diffrec.py	DiffRec.p_mean_variance		15	3	0		80%
hopwise/model/general_recommender/diffrec.py	DiffRec._predict_xstart_from_eps		2	2	0		0%
hopwise/model/general_recommender/diffrec.py	DiffRec.SNR		2	0	0		100%
hopwise/model/general_recommender/diffrec.py	DiffRec._extract_into_tensor		5	0	0		100%
hopwise/model/general_recommender/diffrec.py	betas_from_linear_variance		6	6	0		0%
hopwise/model/general_recommender/diffrec.py	betas_for_alpha_bar		6	6	0		0%
hopwise/model/general_recommender/diffrec.py	normal_kl		8	8	0		0%
hopwise/model/general_recommender/diffrec.py	mean_flat		1	0	0		100%
hopwise/model/general_recommender/diffrec.py	timestep_embedding		7	1	0		86%
hopwise/model/general_recommender/diffrec.py	(no function)		41	0	0		100%
hopwise/model/general_recommender/dmf.py	DMF.__init__		32	1	0		97%
hopwise/model/general_recommender/dmf.py	DMF._init_weights		6	1	0		83%
hopwise/model/general_recommender/dmf.py	DMF.forward		10	0	0		100%
hopwise/model/general_recommender/dmf.py	DMF.calculate_loss		12	0	0		100%
hopwise/model/general_recommender/dmf.py	DMF.predict		4	4	0		0%
hopwise/model/general_recommender/dmf.py	DMF.get_user_embedding		7	0	0		100%
hopwise/model/general_recommender/dmf.py	DMF.get_item_embedding		9	0	0		100%
hopwise/model/general_recommender/dmf.py	DMF.full_sort_predict		8	0	0		100%
hopwise/model/general_recommender/dmf.py	(no function)		17	0	0		100%
hopwise/model/general_recommender/ease.py	EASE.__init__		14	0	0		100%
hopwise/model/general_recommender/ease.py	EASE.forward		1	1	0		0%
hopwise/model/general_recommender/ease.py	EASE.calculate_loss		1	0	0		100%
hopwise/model/general_recommender/ease.py	EASE.predict		3	3	0		0%
hopwise/model/general_recommender/ease.py	EASE.full_sort_predict		3	0	0		100%
hopwise/model/general_recommender/ease.py	(no function)		13	0	0		100%
hopwise/model/general_recommender/enmf.py	ENMF.__init__		12	0	0		100%
hopwise/model/general_recommender/enmf.py	ENMF.reg_loss		3	0	0		100%
hopwise/model/general_recommender/enmf.py	ENMF.forward		8	0	0		100%
hopwise/model/general_recommender/enmf.py	ENMF.calculate_loss		11	0	0		100%
hopwise/model/general_recommender/enmf.py	ENMF.predict		7	7	0		0%
hopwise/model/general_recommender/enmf.py	ENMF.full_sort_predict		6	0	0		100%
hopwise/model/general_recommender/enmf.py	(no function)		13	0	0		100%
hopwise/model/general_recommender/fism.py	FISM.__init__		16	0	0		100%
hopwise/model/general_recommender/fism.py	FISM.get_history_info		6	0	0		100%
hopwise/model/general_recommender/fism.py	FISM.reg_loss		4	0	0		100%
hopwise/model/general_recommender/fism.py	FISM._init_weights		2	0	0		100%
hopwise/model/general_recommender/fism.py	FISM.inter_forward		12	0	0		100%
hopwise/model/general_recommender/fism.py	FISM.user_forward		12	0	0		100%
hopwise/model/general_recommender/fism.py	FISM.forward		1	0	0		100%
hopwise/model/general_recommender/fism.py	FISM.calculate_loss		6	0	0		100%
hopwise/model/general_recommender/fism.py	FISM.full_sort_predict		16	0	0		100%
hopwise/model/general_recommender/fism.py	FISM.predict		4	4	0		0%
hopwise/model/general_recommender/fism.py	(no function)		17	0	0		100%
hopwise/model/general_recommender/gcmc.py	GCMC.__init__		30	1	0		97%
hopwise/model/general_recommender/gcmc.py	GCMC.forward		3	0	0		100%
hopwise/model/general_recommender/gcmc.py	GCMC.calculate_loss		11	0	0		100%
hopwise/model/general_recommender/gcmc.py	GCMC.predict		6	6	0		0%
hopwise/model/general_recommender/gcmc.py	GCMC.full_sort_predict		5	0	0		100%
hopwise/model/general_recommender/gcmc.py	GcEncoder.__init__		36	6	0		83%
hopwise/model/general_recommender/gcmc.py	GcEncoder._init_weights		14	6	0		57%
hopwise/model/general_recommender/gcmc.py	GcEncoder.forward		41	16	0		61%
hopwise/model/general_recommender/gcmc.py	BiDecoder.__init__		11	0	0		100%
hopwise/model/general_recommender/gcmc.py	BiDecoder._init_weights		2	0	0		100%
hopwise/model/general_recommender/gcmc.py	BiDecoder.forward		22	0	0		100%
hopwise/model/general_recommender/gcmc.py	orthogonal		6	0	0		100%
hopwise/model/general_recommender/gcmc.py	(no function)		23	0	0		100%
hopwise/model/general_recommender/itemknn.py	ComputeSimilarity.__init__		6	0	0		100%
hopwise/model/general_recommender/itemknn.py	ComputeSimilarity.compute_similarity		50	10	0		80%
hopwise/model/general_recommender/itemknn.py	ItemKNN.__init__		10	0	0		100%
hopwise/model/general_recommender/itemknn.py	ItemKNN.forward		1	1	0		0%
hopwise/model/general_recommender/itemknn.py	ItemKNN.calculate_loss		1	0	0		100%
hopwise/model/general_recommender/itemknn.py	ItemKNN.predict		12	12	0		0%
hopwise/model/general_recommender/itemknn.py	ItemKNN.full_sort_predict		5	0	0		100%
hopwise/model/general_recommender/itemknn.py	(no function)		16	0	0		100%
hopwise/model/general_recommender/ldiffrec.py	AutoEncoder.__init__		47	32	0		32%
hopwise/model/general_recommender/ldiffrec.py	AutoEncoder.Encode		26	16	0		38%
hopwise/model/general_recommender/ldiffrec.py	AutoEncoder.reparamterization		3	0	0		100%
hopwise/model/general_recommender/ldiffrec.py	AutoEncoder.Decode		13	11	0		15%
hopwise/model/general_recommender/ldiffrec.py	LDiffRec.__init__		25	3	0		88%
hopwise/model/general_recommender/ldiffrec.py	LDiffRec.calculate_loss		31	4	0		87%
hopwise/model/general_recommender/ldiffrec.py	LDiffRec.full_sort_predict		10	2	0		80%
hopwise/model/general_recommender/ldiffrec.py	LDiffRec.predict		4	4	0		0%
hopwise/model/general_recommender/ldiffrec.py	compute_loss		1	0	0		100%
hopwise/model/general_recommender/ldiffrec.py	(no function)		19	0	0		100%
hopwise/model/general_recommender/lightgcn.py	LightGCN.__init__		14	0	0		100%
hopwise/model/general_recommender/lightgcn.py	LightGCN.get_ego_embeddings		4	0	0		100%
hopwise/model/general_recommender/lightgcn.py	LightGCN.forward		9	0	0		100%
hopwise/model/general_recommender/lightgcn.py	LightGCN.calculate_loss		18	1	0		94%
hopwise/model/general_recommender/lightgcn.py	LightGCN.predict		7	7	0		0%
hopwise/model/general_recommender/lightgcn.py	LightGCN.full_sort_predict		6	0	0		100%
hopwise/model/general_recommender/lightgcn.py	(no function)		13	0	0		100%
hopwise/model/general_recommender/line.py	NegSamplingLoss.__init__		1	0	0		100%
hopwise/model/general_recommender/line.py	NegSamplingLoss.forward		1	0	0		100%
hopwise/model/general_recommender/line.py	LINE.__init__		17	0	0		100%
hopwise/model/general_recommender/line.py	LINE.sampler		10	0	0		100%
hopwise/model/general_recommender/line.py	LINE.random_num		12	0	0		100%
hopwise/model/general_recommender/line.py	LINE.get_user_id_list		1	0	0		100%
hopwise/model/general_recommender/line.py	LINE.forward		3	0	0		100%
hopwise/model/general_recommender/line.py	LINE.context_forward		6	0	0		100%
hopwise/model/general_recommender/line.py	LINE.calculate_loss		20	5	0		75%
hopwise/model/general_recommender/line.py	LINE.predict		4	4	0		0%
hopwise/model/general_recommender/line.py	LINE.full_sort_predict		5	0	0		100%
hopwise/model/general_recommender/line.py	(no function)		21	0	0		100%
hopwise/model/general_recommender/macridvae.py	MacridVAE.__init__		19	0	0		100%
hopwise/model/general_recommender/macridvae.py	MacridVAE.mlp_layers		6	0	0		100%
hopwise/model/general_recommender/macridvae.py	MacridVAE.reparameterize		5	0	0		100%
hopwise/model/general_recommender/macridvae.py	MacridVAE.forward		30	1	0		97%
hopwise/model/general_recommender/macridvae.py	MacridVAE.calculate_loss		15	2	0		87%
hopwise/model/general_recommender/macridvae.py	MacridVAE.reg_loss		8	8	0		0%
hopwise/model/general_recommender/macridvae.py	MacridVAE.predict		5	5	0		0%
hopwise/model/general_recommender/macridvae.py	MacridVAE.full_sort_predict		4	0	0		100%
hopwise/model/general_recommender/macridvae.py	(no function)		17	0	0		100%
hopwise/model/general_recommender/multidae.py	MultiDAE.__init__		10	0	0		100%
hopwise/model/general_recommender/multidae.py	MultiDAE.mlp_layers		6	0	0		100%
hopwise/model/general_recommender/multidae.py	MultiDAE.forward		4	0	0		100%
hopwise/model/general_recommender/multidae.py	MultiDAE.calculate_loss		5	0	0		100%
hopwise/model/general_recommender/multidae.py	MultiDAE.predict		5	5	0		0%
hopwise/model/general_recommender/multidae.py	MultiDAE.full_sort_predict		4	0	0		100%
hopwise/model/general_recommender/multidae.py	(no function)		15	0	0		100%
hopwise/model/general_recommender/multivae.py	MultiVAE.__init__		13	0	0		100%
hopwise/model/general_recommender/multivae.py	MultiVAE.mlp_layers		6	0	0		100%
hopwise/model/general_recommender/multivae.py	MultiVAE.reparameterize		5	0	0		100%
hopwise/model/general_recommender/multivae.py	MultiVAE.forward		8	0	0		100%
hopwise/model/general_recommender/multivae.py	MultiVAE.calculate_loss		10	1	0		90%
hopwise/model/general_recommender/multivae.py	MultiVAE.predict		5	5	0		0%
hopwise/model/general_recommender/multivae.py	MultiVAE.full_sort_predict		4	0	0		100%
hopwise/model/general_recommender/multivae.py	(no function)		15	0	0		100%
hopwise/model/general_recommender/nais.py	NAIS.__init__		30	3	0		90%
hopwise/model/general_recommender/nais.py	NAIS._init_weights		6	0	0		100%
hopwise/model/general_recommender/nais.py	NAIS._load_pretrain		8	8	0		0%
hopwise/model/general_recommender/nais.py	NAIS.get_history_info		6	0	0		100%
hopwise/model/general_recommender/nais.py	NAIS.reg_loss		8	0	0		100%
hopwise/model/general_recommender/nais.py	NAIS.attention_mlp		6	0	0		100%
hopwise/model/general_recommender/nais.py	NAIS.mask_softmax		8	0	0		100%
hopwise/model/general_recommender/nais.py	NAIS.softmax		7	0	0		100%
hopwise/model/general_recommender/nais.py	NAIS.inter_forward		10	0	0		100%
hopwise/model/general_recommender/nais.py	NAIS.user_forward		12	0	0		100%
hopwise/model/general_recommender/nais.py	NAIS.forward		1	0	0		100%
hopwise/model/general_recommender/nais.py	NAIS.calculate_loss		6	0	0		100%
hopwise/model/general_recommender/nais.py	NAIS.full_sort_predict		15	0	0		100%
hopwise/model/general_recommender/nais.py	NAIS.predict		4	4	0		0%
hopwise/model/general_recommender/nais.py	(no function)		22	0	0		100%
hopwise/model/general_recommender/nceplrec.py	NCEPLRec.__init__		25	0	0		100%
hopwise/model/general_recommender/nceplrec.py	NCEPLRec.forward		1	1	0		0%
hopwise/model/general_recommender/nceplrec.py	NCEPLRec.calculate_loss		1	0	0		100%
hopwise/model/general_recommender/nceplrec.py	NCEPLRec.predict		4	4	0		0%
hopwise/model/general_recommender/nceplrec.py	NCEPLRec.full_sort_predict		3	0	0		100%
hopwise/model/general_recommender/nceplrec.py	(no function)		13	0	0		100%
hopwise/model/general_recommender/ncl.py	NCL.__init__		23	0	0		100%
hopwise/model/general_recommender/ncl.py	NCL.e_step		4	0	0		100%
hopwise/model/general_recommender/ncl.py	NCL.run_kmeans		9	0	0		100%
hopwise/model/general_recommender/ncl.py	NCL.get_ego_embeddings		4	0	0		100%
hopwise/model/general_recommender/ncl.py	NCL.forward		9	0	0		100%
hopwise/model/general_recommender/ncl.py	NCL.ProtoNCE_loss		21	0	0		100%
hopwise/model/general_recommender/ncl.py	NCL.ssl_layer_loss		24	0	0		100%
hopwise/model/general_recommender/ncl.py	NCL.calculate_loss		21	1	0		95%
hopwise/model/general_recommender/ncl.py	NCL.predict		7	7	0		0%
hopwise/model/general_recommender/ncl.py	NCL.full_sort_predict		6	0	0		100%
hopwise/model/general_recommender/ncl.py	(no function)		18	0	0		100%
hopwise/model/general_recommender/neumf.py	NeuMF.__init__		28	5	0		82%
hopwise/model/general_recommender/neumf.py	NeuMF.load_pretrain		23	23	0		0%
hopwise/model/general_recommender/neumf.py	NeuMF._init_weights		2	0	0		100%
hopwise/model/general_recommender/neumf.py	NeuMF.forward		16	5	0		69%
hopwise/model/general_recommender/neumf.py	NeuMF.calculate_loss		5	0	0		100%
hopwise/model/general_recommender/neumf.py	NeuMF.predict		4	0	0		100%
hopwise/model/general_recommender/neumf.py	NeuMF.dump_parameters		6	6	0		0%
hopwise/model/general_recommender/neumf.py	(no function)		15	0	0		100%
hopwise/model/general_recommender/ngcf.py	NGCF.__init__		22	0	0		100%
hopwise/model/general_recommender/ngcf.py	NGCF.get_ego_embeddings		4	0	0		100%
hopwise/model/general_recommender/ngcf.py	NGCF.forward		12	0	0		100%
hopwise/model/general_recommender/ngcf.py	NGCF.calculate_loss		14	1	0		93%
hopwise/model/general_recommender/ngcf.py	NGCF.predict		7	7	0		0%
hopwise/model/general_recommender/ngcf.py	NGCF.full_sort_predict		6	0	0		100%
hopwise/model/general_recommender/ngcf.py	(no function)		16	0	0		100%
hopwise/model/general_recommender/nncf.py	NNCF.__init__		32	5	0		84%
hopwise/model/general_recommender/nncf.py	NNCF._init_weights		2	0	0		100%
hopwise/model/general_recommender/nncf.py	NNCF.Max_ner		7	7	0		0%
hopwise/model/general_recommender/nncf.py	NNCF.get_community_member		2	2	0		0%
hopwise/model/general_recommender/nncf.py	NNCF.prepare_vector_element		21	21	0		0%
hopwise/model/general_recommender/nncf.py	NNCF.get_neigh_louvain		23	23	0		0%
hopwise/model/general_recommender/nncf.py	NNCF.get_neigh_knn		33	33	0		0%
hopwise/model/general_recommender/nncf.py	NNCF.get_neigh_random		21	0	0		100%
hopwise/model/general_recommender/nncf.py	NNCF.get_neigh_info		3	0	0		100%
hopwise/model/general_recommender/nncf.py	NNCF.forward		18	0	0		100%
hopwise/model/general_recommender/nncf.py	NNCF.calculate_loss		5	0	0		100%
hopwise/model/general_recommender/nncf.py	NNCF.predict		3	0	0		100%
hopwise/model/general_recommender/nncf.py	(no function)		22	0	0		100%
hopwise/model/general_recommender/pop.py	Pop.__init__		5	0	0		100%
hopwise/model/general_recommender/pop.py	Pop.forward		1	1	0		0%
hopwise/model/general_recommender/pop.py	Pop.calculate_loss		4	0	0		100%
hopwise/model/general_recommender/pop.py	Pop.predict		3	3	0		0%
hopwise/model/general_recommender/pop.py	Pop.full_sort_predict		4	0	0		100%
hopwise/model/general_recommender/pop.py	(no function)		11	0	0		100%
hopwise/model/general_recommender/ract.py	RaCT.__init__		41	41	0		0%
hopwise/model/general_recommender/ract.py	RaCT.mlp_layers		6	6	0		0%
hopwise/model/general_recommender/ract.py	RaCT.reparameterize		5	5	0		0%
hopwise/model/general_recommender/ract.py	RaCT.forward		14	14	0		0%
hopwise/model/general_recommender/ract.py	RaCT.calculate_actor_loss		10	10	0		0%
hopwise/model/general_recommender/ract.py	RaCT.construct_critic_input		5	5	0		0%
hopwise/model/general_recommender/ract.py	RaCT.construct_critic_layers		8	8	0		0%
hopwise/model/general_recommender/ract.py	RaCT.calculate_ndcg		10	10	0		0%
hopwise/model/general_recommender/ract.py	RaCT.critic_forward		4	4	0		0%
hopwise/model/general_recommender/ract.py	RaCT.calculate_critic_loss		5	5	0		0%
hopwise/model/general_recommender/ract.py	RaCT.calculate_ac_loss		3	3	0		0%
hopwise/model/general_recommender/ract.py	RaCT.calculate_loss		5	5	0		0%
hopwise/model/general_recommender/ract.py	RaCT.predict		5	5	0		0%
hopwise/model/general_recommender/ract.py	RaCT.full_sort_predict		4	4	0		0%
hopwise/model/general_recommender/ract.py	(no function)		23	0	0		100%
hopwise/model/general_recommender/random.py	Random.__init__		3	0	0		100%
hopwise/model/general_recommender/random.py	Random.forward		1	1	0		0%
hopwise/model/general_recommender/random.py	Random.calculate_loss		1	0	0		100%
hopwise/model/general_recommender/random.py	Random.predict		1	1	0		0%
hopwise/model/general_recommender/random.py	Random.full_sort_predict		4	0	0		100%
hopwise/model/general_recommender/random.py	(no function)		11	0	0		100%
hopwise/model/general_recommender/recvae.py	swish		1	0	0		100%
hopwise/model/general_recommender/recvae.py	log_norm_pdf		1	0	0		100%
hopwise/model/general_recommender/recvae.py	CompositePrior.__init__		10	0	0		100%
hopwise/model/general_recommender/recvae.py	CompositePrior.forward		8	0	0		100%
hopwise/model/general_recommender/recvae.py	Encoder.__init__		13	0	0		100%
hopwise/model/general_recommender/recvae.py	Encoder.forward		8	0	0		100%
hopwise/model/general_recommender/recvae.py	RecVAE.__init__		12	0	0		100%
hopwise/model/general_recommender/recvae.py	RecVAE.reparameterize		5	0	0		100%
hopwise/model/general_recommender/recvae.py	RecVAE.forward		4	0	0		100%
hopwise/model/general_recommender/recvae.py	RecVAE.calculate_loss		14	1	0		93%
hopwise/model/general_recommender/recvae.py	RecVAE.predict		5	5	0		0%
hopwise/model/general_recommender/recvae.py	RecVAE.full_sort_predict		4	0	0		100%
hopwise/model/general_recommender/recvae.py	RecVAE.update_prior		1	0	0		100%
hopwise/model/general_recommender/recvae.py	(no function)		25	0	0		100%
hopwise/model/general_recommender/sgl.py	SGL.__init__		18	0	0		100%
hopwise/model/general_recommender/sgl.py	SGL.graph_construction		14	8	0		43%
hopwise/model/general_recommender/sgl.py	SGL.rand_sample		3	0	0		100%
hopwise/model/general_recommender/sgl.py	SGL.create_adjust_matrix		29	14	0		52%
hopwise/model/general_recommender/sgl.py	SGL.csr2tensor		3	0	0		100%
hopwise/model/general_recommender/sgl.py	SGL.forward		13	3	0		77%
hopwise/model/general_recommender/sgl.py	SGL.calculate_loss		10	1	0		90%
hopwise/model/general_recommender/sgl.py	SGL.calc_bpr_loss		11	0	0		100%
hopwise/model/general_recommender/sgl.py	SGL.calc_ssl_loss		17	0	0		100%
hopwise/model/general_recommender/sgl.py	SGL.predict		5	5	0		0%
hopwise/model/general_recommender/sgl.py	SGL.full_sort_predict		4	0	0		100%
hopwise/model/general_recommender/sgl.py	SGL.train		4	0	0		100%
hopwise/model/general_recommender/sgl.py	(no function)		22	0	0		100%
hopwise/model/general_recommender/simplex.py	SimpleX.__init__		26	1	0		96%
hopwise/model/general_recommender/simplex.py	SimpleX.get_UI_aggregation		18	0	0		100%
hopwise/model/general_recommender/simplex.py	SimpleX.get_cos		5	0	0		100%
hopwise/model/general_recommender/simplex.py	SimpleX.forward		15	0	0		100%
hopwise/model/general_recommender/simplex.py	SimpleX.calculate_loss		12	0	0		100%
hopwise/model/general_recommender/simplex.py	SimpleX.predict		10	10	0		0%
hopwise/model/general_recommender/simplex.py	SimpleX.full_sort_predict		11	0	0		100%
hopwise/model/general_recommender/simplex.py	(no function)		16	0	0		100%
hopwise/model/general_recommender/slimelastic.py	SLIMElastic.__init__		24	0	0		100%
hopwise/model/general_recommender/slimelastic.py	SLIMElastic.forward		1	1	0		0%
hopwise/model/general_recommender/slimelastic.py	SLIMElastic.calculate_loss		1	0	0		100%
hopwise/model/general_recommender/slimelastic.py	SLIMElastic.predict		4	4	0		0%
hopwise/model/general_recommender/slimelastic.py	SLIMElastic.full_sort_predict		4	0	0		100%
hopwise/model/general_recommender/slimelastic.py	(no function)		16	0	0		100%
hopwise/model/general_recommender/spectralcf.py	SpectralCF.__init__		18	0	0		100%
hopwise/model/general_recommender/spectralcf.py	SpectralCF.get_ego_embeddings		4	0	0		100%
hopwise/model/general_recommender/spectralcf.py	SpectralCF.forward		9	0	0		100%
hopwise/model/general_recommender/spectralcf.py	SpectralCF.calculate_loss		15	1	0		93%
hopwise/model/general_recommender/spectralcf.py	SpectralCF.predict		7	7	0		0%
hopwise/model/general_recommender/spectralcf.py	SpectralCF.full_sort_predict		6	0	0		100%
hopwise/model/general_recommender/spectralcf.py	(no function)		13	0	0		100%
hopwise/model/init.py	xavier_normal_initialization		6	0	0		100%
hopwise/model/init.py	xavier_uniform_initialization		6	0	0		100%
hopwise/model/init.py	(no function)		4	0	0		100%
hopwise/model/knowledge_aware_recommender/__init__.py	(no function)		16	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	CAFE.__init__		51	1	0		98%
hopwise/model/knowledge_aware_recommender/cafe.py	CAFE._compute_top_items		5	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	CAFE._get_batch_by_user		34	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	CAFE._rev_rel		5	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	CAFE.fast_sample_path_with_target		63	8	0		87%
hopwise/model/knowledge_aware_recommender/cafe.py	CAFE.count_paths_with_target		32	3	0		91%
hopwise/model/knowledge_aware_recommender/cafe.py	CAFE.calculate_loss		8	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	CAFE.predict		1	1	0		0%
hopwise/model/knowledge_aware_recommender/cafe.py	CAFE.full_sort_predict		8	8	0		0%
hopwise/model/knowledge_aware_recommender/cafe.py	CAFE.convert_path_relations		5	5	0		0%
hopwise/model/knowledge_aware_recommender/cafe.py	CAFE.explain		8	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	CAFE.decode_path		1	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	CAFE._infer_paths		8	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	CAFE._estimate_path_count		13	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	CAFE.run_program		27	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	CAFE.create_heuristic_program		21	1	0		95%
hopwise/model/knowledge_aware_recommender/cafe.py	SymbolicNetwork.__init__		8	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	SymbolicNetwork._create_modules		6	1	0		83%
hopwise/model/knowledge_aware_recommender/cafe.py	SymbolicNetwork._get_modules		5	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	SymbolicNetwork._forward		9	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	SymbolicNetwork.forward		13	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	SymbolicNetwork.forward_simple		7	7	0		0%
hopwise/model/knowledge_aware_recommender/cafe.py	SymbolicNetwork.infer_direct		14	14	0		0%
hopwise/model/knowledge_aware_recommender/cafe.py	SymbolicNetwork.infer_with_path		43	1	0		98%
hopwise/model/knowledge_aware_recommender/cafe.py	RelationModule.__init__		8	8	0		0%
hopwise/model/knowledge_aware_recommender/cafe.py	RelationModule.forward		5	5	0		0%
hopwise/model/knowledge_aware_recommender/cafe.py	DeepRelationModule.__init__		13	1	0		92%
hopwise/model/knowledge_aware_recommender/cafe.py	DeepRelationModule.forward		12	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	ReplayMemory.__init__		2	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	ReplayMemory.add		3	1	0		67%
hopwise/model/knowledge_aware_recommender/cafe.py	ReplayMemory.sample		3	1	0		67%
hopwise/model/knowledge_aware_recommender/cafe.py	ReplayMemory.__len__		1	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	KGMask.__init__		2	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	KGMask._get_next_node_type		3	3	0		0%
hopwise/model/knowledge_aware_recommender/cafe.py	KGMask.get_ids		15	7	0		53%
hopwise/model/knowledge_aware_recommender/cafe.py	KGMask.get_mask		17	17	0		0%
hopwise/model/knowledge_aware_recommender/cafe.py	KGMask.__call__		1	1	0		0%
hopwise/model/knowledge_aware_recommender/cafe.py	MetaProgramExecutor.__init__		5	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	MetaProgramExecutor._get_module		1	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	MetaProgramExecutor.execute		44	1	0		98%
hopwise/model/knowledge_aware_recommender/cafe.py	MetaProgramExecutor.collect_results		8	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	NeuralProgramLayout.__init__		13	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	NeuralProgramLayout.update_by_path_count		2	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	NeuralProgramLayout.update_by_path_count._postorder_update		17	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	NeuralProgramLayout.print_postorder		2	2	0		0%
hopwise/model/knowledge_aware_recommender/cafe.py	NeuralProgramLayout.print_postorder._postorder		10	10	0		0%
hopwise/model/knowledge_aware_recommender/cafe.py	TreeNode.__init__		8	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	TreeNode.has_parent		1	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	TreeNode.has_children		1	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	TreeNode.get_children		1	0	0		100%
hopwise/model/knowledge_aware_recommender/cafe.py	TreeNode.__str__		3	3	0		0%
hopwise/model/knowledge_aware_recommender/cafe.py	(no function)		67	0	0		100%
hopwise/model/knowledge_aware_recommender/cfkg.py	CFKG.__init__		7	0	0		100%
hopwise/model/knowledge_aware_recommender/cfkg.py	CFKG.forward		6	0	0		100%
hopwise/model/knowledge_aware_recommender/cfkg.py	CFKG._get_rec_embedding		6	0	0		100%
hopwise/model/knowledge_aware_recommender/cfkg.py	CFKG._get_kg_embedding		5	0	0		100%
hopwise/model/knowledge_aware_recommender/cfkg.py	CFKG._get_score		1	0	0		100%
hopwise/model/knowledge_aware_recommender/cfkg.py	CFKG.calculate_loss		15	0	0		100%
hopwise/model/knowledge_aware_recommender/cfkg.py	CFKG.predict		3	0	0		100%
hopwise/model/knowledge_aware_recommender/cfkg.py	(no function)		15	0	0		100%
hopwise/model/knowledge_aware_recommender/cke.py	CKE.__init__		13	0	0		100%
hopwise/model/knowledge_aware_recommender/cke.py	CKE._get_kg_embedding		13	0	0		100%
hopwise/model/knowledge_aware_recommender/cke.py	CKE.forward		4	4	0		0%
hopwise/model/knowledge_aware_recommender/cke.py	CKE._get_rec_loss		4	0	0		100%
hopwise/model/knowledge_aware_recommender/cke.py	CKE._get_kg_loss		4	0	0		100%
hopwise/model/knowledge_aware_recommender/cke.py	CKE.calculate_loss		19	0	0		100%
hopwise/model/knowledge_aware_recommender/cke.py	CKE.predict		3	3	0		0%
hopwise/model/knowledge_aware_recommender/cke.py	CKE.full_sort_predict		5	0	0		100%
hopwise/model/knowledge_aware_recommender/cke.py	(no function)		17	0	0		100%
hopwise/model/knowledge_aware_recommender/kgat.py	Aggregator.__init__		15	1	0		93%
hopwise/model/knowledge_aware_recommender/kgat.py	Aggregator.forward		14	1	0		93%
hopwise/model/knowledge_aware_recommender/kgat.py	KGAT.__init__		27	0	0		100%
hopwise/model/knowledge_aware_recommender/kgat.py	KGAT.init_graph		16	0	0		100%
hopwise/model/knowledge_aware_recommender/kgat.py	KGAT._get_ego_embeddings		4	0	0		100%
hopwise/model/knowledge_aware_recommender/kgat.py	KGAT.forward		9	0	0		100%
hopwise/model/knowledge_aware_recommender/kgat.py	KGAT._get_kg_embedding		9	0	0		100%
hopwise/model/knowledge_aware_recommender/kgat.py	KGAT.calculate_loss		15	1	0		93%
hopwise/model/knowledge_aware_recommender/kgat.py	KGAT.calculate_kg_loss		13	1	0		92%
hopwise/model/knowledge_aware_recommender/kgat.py	KGAT.generate_transE_score		9	0	0		100%
hopwise/model/knowledge_aware_recommender/kgat.py	KGAT.update_attentive_A		14	0	0		100%
hopwise/model/knowledge_aware_recommender/kgat.py	KGAT.predict		7	7	0		0%
hopwise/model/knowledge_aware_recommender/kgat.py	KGAT.full_sort_predict		7	0	0		100%
hopwise/model/knowledge_aware_recommender/kgat.py	(no function)		25	0	0		100%
hopwise/model/knowledge_aware_recommender/kgcn.py	KGCN.__init__		22	0	0		100%
hopwise/model/knowledge_aware_recommender/kgcn.py	KGCN.construct_adj		27	0	0		100%
hopwise/model/knowledge_aware_recommender/kgcn.py	KGCN.get_neighbors		10	0	0		100%
hopwise/model/knowledge_aware_recommender/kgcn.py	KGCN.mix_neighbor_vectors		9	1	0		89%
hopwise/model/knowledge_aware_recommender/kgcn.py	KGCN.aggregate		27	2	0		93%
hopwise/model/knowledge_aware_recommender/kgcn.py	KGCN.forward		5	0	0		100%
hopwise/model/knowledge_aware_recommender/kgcn.py	KGCN.calculate_loss		14	0	0		100%
hopwise/model/knowledge_aware_recommender/kgcn.py	KGCN.predict		4	4	0		0%
hopwise/model/knowledge_aware_recommender/kgcn.py	KGCN.full_sort_predict		9	0	0		100%
hopwise/model/knowledge_aware_recommender/kgcn.py	(no function)		18	0	0		100%
hopwise/model/knowledge_aware_recommender/kgin.py	Aggregator.__init__		1	0	0		100%
hopwise/model/knowledge_aware_recommender/kgin.py	Aggregator.forward		15	0	0		100%
hopwise/model/knowledge_aware_recommender/kgin.py	GraphConv.__init__		23	0	0		100%
hopwise/model/knowledge_aware_recommender/kgin.py	GraphConv.edge_sampling		3	0	0		100%
hopwise/model/knowledge_aware_recommender/kgin.py	GraphConv.forward		20	4	0		80%
hopwise/model/knowledge_aware_recommender/kgin.py	GraphConv.calculate_cor_loss		18	6	0		67%
hopwise/model/knowledge_aware_recommender/kgin.py	GraphConv.calculate_cor_loss.CosineSimilarity		3	0	0		100%
hopwise/model/knowledge_aware_recommender/kgin.py	GraphConv.calculate_cor_loss.DistanceCorrelation		15	15	0		0%
hopwise/model/knowledge_aware_recommender/kgin.py	GraphConv.calculate_cor_loss.MutualInformation		5	5	0		0%
hopwise/model/knowledge_aware_recommender/kgin.py	KGIN.__init__		24	0	0		100%
hopwise/model/knowledge_aware_recommender/kgin.py	KGIN.get_edges		3	0	0		100%
hopwise/model/knowledge_aware_recommender/kgin.py	KGIN.forward		5	0	0		100%
hopwise/model/knowledge_aware_recommender/kgin.py	KGIN.calculate_loss		16	1	0		94%
hopwise/model/knowledge_aware_recommender/kgin.py	KGIN.predict		7	7	0		0%
hopwise/model/knowledge_aware_recommender/kgin.py	KGIN.full_sort_predict		7	0	0		100%
hopwise/model/knowledge_aware_recommender/kgin.py	(no function)		25	0	0		100%
hopwise/model/knowledge_aware_recommender/kglrr.py	GraphAttentionLayer.__init__		12	0	0		100%
hopwise/model/knowledge_aware_recommender/kglrr.py	GraphAttentionLayer.forward_relation		14	1	0		93%
hopwise/model/knowledge_aware_recommender/kglrr.py	GraphAttentionLayer.forward		13	13	0		0%
hopwise/model/knowledge_aware_recommender/kglrr.py	GraphAttentionLayer._prepare_cat		2	2	0		0%
hopwise/model/knowledge_aware_recommender/kglrr.py	KGEncoder.__init__		18	0	0		100%
hopwise/model/knowledge_aware_recommender/kglrr.py	KGEncoder.__init_weight		15	0	0		100%
hopwise/model/knowledge_aware_recommender/kglrr.py	KGEncoder.get_kg_dict		17	9	0		47%
hopwise/model/knowledge_aware_recommender/kglrr.py	KGEncoder.computer		17	1	0		94%
hopwise/model/knowledge_aware_recommender/kglrr.py	KGEncoder.__dropout_x		9	0	0		100%
hopwise/model/knowledge_aware_recommender/kglrr.py	KGEncoder.__dropout		6	3	0		50%
hopwise/model/knowledge_aware_recommender/kglrr.py	KGEncoder.cal_item_embedding_from_kg		10	6	0		40%
hopwise/model/knowledge_aware_recommender/kglrr.py	KGEncoder.cal_item_embedding_gat		5	5	0		0%
hopwise/model/knowledge_aware_recommender/kglrr.py	KGEncoder.cal_item_embedding_rgat		7	0	0		100%
hopwise/model/knowledge_aware_recommender/kglrr.py	KGLRR.__init__		14	0	0		100%
hopwise/model/knowledge_aware_recommender/kglrr.py	KGLRR._init_weights		7	0	0		100%
hopwise/model/knowledge_aware_recommender/kglrr.py	KGLRR.logic_or		6	0	0		100%
hopwise/model/knowledge_aware_recommender/kglrr.py	KGLRR.logic_and		6	0	0		100%
hopwise/model/knowledge_aware_recommender/kglrr.py	KGLRR.logic_regularizer		22	2	0		91%
hopwise/model/knowledge_aware_recommender/kglrr.py	KGLRR.similarity		5	0	0		100%
hopwise/model/knowledge_aware_recommender/kglrr.py	KGLRR.uniform_size		11	6	0		45%
hopwise/model/knowledge_aware_recommender/kglrr.py	KGLRR.predict		21	0	0		100%
hopwise/model/knowledge_aware_recommender/kglrr.py	KGLRR.explain		11	11	0		0%
hopwise/model/knowledge_aware_recommender/kglrr.py	KGLRR.full_sort_predict		2	0	0		100%
hopwise/model/knowledge_aware_recommender/kglrr.py	KGLRR.predict_or_and		37	0	0		100%
hopwise/model/knowledge_aware_recommender/kglrr.py	KGLRR.calculate_loss		7	0	0		100%
hopwise/model/knowledge_aware_recommender/kglrr.py	KGLRR.triple_loss		5	1	0		80%
hopwise/model/knowledge_aware_recommender/kglrr.py	KGLRR.l2_loss		10	0	0		100%
hopwise/model/knowledge_aware_recommender/kglrr.py	KGLRR.check		4	4	0		0%
hopwise/model/knowledge_aware_recommender/kglrr.py	KGLRR.forward		9	2	0		78%
hopwise/model/knowledge_aware_recommender/kglrr.py	GAT.__init__		3	0	0		100%
hopwise/model/knowledge_aware_recommender/kglrr.py	GAT.forward		5	5	0		0%
hopwise/model/knowledge_aware_recommender/kglrr.py	GAT.forward_relation		5	0	0		100%
hopwise/model/knowledge_aware_recommender/kglrr.py	(no function)		45	0	0		100%
hopwise/model/knowledge_aware_recommender/kgnnls.py	KGNNLS.__init__		29	0	0		100%
hopwise/model/knowledge_aware_recommender/kgnnls.py	KGNNLS.get_interaction_table		7	0	0		100%
hopwise/model/knowledge_aware_recommender/kgnnls.py	KGNNLS.sample_neg_interaction		12	0	0		100%
hopwise/model/knowledge_aware_recommender/kgnnls.py	KGNNLS.construct_adj		27	0	0		100%
hopwise/model/knowledge_aware_recommender/kgnnls.py	KGNNLS.get_neighbors		10	0	0		100%
hopwise/model/knowledge_aware_recommender/kgnnls.py	KGNNLS.aggregate		30	2	0		93%
hopwise/model/knowledge_aware_recommender/kgnnls.py	KGNNLS.label_smoothness_predict		36	0	0		100%
hopwise/model/knowledge_aware_recommender/kgnnls.py	KGNNLS.label_smoothness_predict.lookup_interaction_table		3	0	0		100%
hopwise/model/knowledge_aware_recommender/kgnnls.py	KGNNLS.forward		5	0	0		100%
hopwise/model/knowledge_aware_recommender/kgnnls.py	KGNNLS.calculate_ls_loss		5	0	0		100%
hopwise/model/knowledge_aware_recommender/kgnnls.py	KGNNLS.calculate_loss		14	0	0		100%
hopwise/model/knowledge_aware_recommender/kgnnls.py	KGNNLS.predict		4	4	0		0%
hopwise/model/knowledge_aware_recommender/kgnnls.py	KGNNLS.full_sort_predict		9	0	0		100%
hopwise/model/knowledge_aware_recommender/kgnnls.py	(no function)		22	0	0		100%
hopwise/model/knowledge_aware_recommender/kgrec.py	Contrast.__init__		4	0	0		100%
hopwise/model/knowledge_aware_recommender/kgrec.py	Contrast.sim		3	3	0		0%
hopwise/model/knowledge_aware_recommender/kgrec.py	Contrast.self_sim		3	0	0		100%
hopwise/model/knowledge_aware_recommender/kgrec.py	Contrast.loss		5	0	0		100%
hopwise/model/knowledge_aware_recommender/kgrec.py	Contrast.loss.f		1	0	0		100%
hopwise/model/knowledge_aware_recommender/kgrec.py	Contrast.forward		4	0	0		100%
hopwise/model/knowledge_aware_recommender/kgrec.py	AttnHGCN.__init__		14	0	0		100%
hopwise/model/knowledge_aware_recommender/kgrec.py	AttnHGCN.shared_layer_agg		17	0	0		100%
hopwise/model/knowledge_aware_recommender/kgrec.py	AttnHGCN.forward		23	6	0		74%
hopwise/model/knowledge_aware_recommender/kgrec.py	AttnHGCN.forward_ui		12	0	0		100%
hopwise/model/knowledge_aware_recommender/kgrec.py	AttnHGCN.forward_kg		10	0	0		100%
hopwise/model/knowledge_aware_recommender/kgrec.py	AttnHGCN.ui_agg		7	0	0		100%
hopwise/model/knowledge_aware_recommender/kgrec.py	AttnHGCN.kg_agg		7	0	0		100%
hopwise/model/knowledge_aware_recommender/kgrec.py	AttnHGCN.norm_attn_computer		16	1	0		94%
hopwise/model/knowledge_aware_recommender/kgrec.py	KGRec.__init__		26	0	0		100%
hopwise/model/knowledge_aware_recommender/kgrec.py	KGRec.get_edges		3	0	0		100%
hopwise/model/knowledge_aware_recommender/kgrec.py	KGRec.forward		31	2	0		94%
hopwise/model/knowledge_aware_recommender/kgrec.py	KGRec.calculate_loss		18	1	0		94%
hopwise/model/knowledge_aware_recommender/kgrec.py	KGRec.relation_aware_edge_sampling		8	0	0		100%
hopwise/model/knowledge_aware_recommender/kgrec.py	KGRec.edge_sampling		3	0	0		100%
hopwise/model/knowledge_aware_recommender/kgrec.py	KGRec.mae_edge_mask_adapt_mixed		13	0	0		100%
hopwise/model/knowledge_aware_recommender/kgrec.py	KGRec.adaptive_kg_drop_cl		7	0	0		100%
hopwise/model/knowledge_aware_recommender/kgrec.py	KGRec.adaptive_ui_drop_cl		10	1	0		90%
hopwise/model/knowledge_aware_recommender/kgrec.py	KGRec.create_mae_loss		6	1	0		83%
hopwise/model/knowledge_aware_recommender/kgrec.py	KGRec.predict		7	7	0		0%
hopwise/model/knowledge_aware_recommender/kgrec.py	KGRec.full_sort_predict		7	0	0		100%
hopwise/model/knowledge_aware_recommender/kgrec.py	(no function)		40	0	0		100%
hopwise/model/knowledge_aware_recommender/ktup.py	KTUP.__init__		32	0	0		100%
hopwise/model/knowledge_aware_recommender/ktup.py	KTUP._masked_softmax		2	0	0		100%
hopwise/model/knowledge_aware_recommender/ktup.py	KTUP.convert_to_one_hot		5	0	0		100%
hopwise/model/knowledge_aware_recommender/ktup.py	KTUP.st_gumbel_softmax		9	0	0		100%
hopwise/model/knowledge_aware_recommender/ktup.py	KTUP._get_preferences		6	0	0		100%
hopwise/model/knowledge_aware_recommender/ktup.py	KTUP._transH_projection		1	0	0		100%
hopwise/model/knowledge_aware_recommender/ktup.py	KTUP._get_score		4	0	0		100%
hopwise/model/knowledge_aware_recommender/ktup.py	KTUP.forward		8	0	0		100%
hopwise/model/knowledge_aware_recommender/ktup.py	KTUP.calculate_loss		12	0	0		100%
hopwise/model/knowledge_aware_recommender/ktup.py	KTUP.calculate_kg_loss		22	0	0		100%
hopwise/model/knowledge_aware_recommender/ktup.py	KTUP.predict		4	0	0		100%
hopwise/model/knowledge_aware_recommender/ktup.py	orthogonalLoss		1	0	0		100%
hopwise/model/knowledge_aware_recommender/ktup.py	alignLoss		4	0	0		100%
hopwise/model/knowledge_aware_recommender/ktup.py	(no function)		24	0	0		100%
hopwise/model/knowledge_aware_recommender/mcclk.py	Aggregator.__init__		3	0	0		100%
hopwise/model/knowledge_aware_recommender/mcclk.py	Aggregator.forward		19	0	0		100%
hopwise/model/knowledge_aware_recommender/mcclk.py	Aggregator.calculate_sim_hrt		7	0	0		100%
hopwise/model/knowledge_aware_recommender/mcclk.py	GraphConv.__init__		25	0	0		100%
hopwise/model/knowledge_aware_recommender/mcclk.py	GraphConv.edge_sampling		3	0	0		100%
hopwise/model/knowledge_aware_recommender/mcclk.py	GraphConv.forward		27	4	0		85%
hopwise/model/knowledge_aware_recommender/mcclk.py	GraphConv.build_adj		20	0	0		100%
hopwise/model/knowledge_aware_recommender/mcclk.py	GraphConv._build_graph_separately		18	2	0		89%
hopwise/model/knowledge_aware_recommender/mcclk.py	MCCLK.__init__		30	4	0		87%
hopwise/model/knowledge_aware_recommender/mcclk.py	MCCLK.get_edges		3	0	0		100%
hopwise/model/knowledge_aware_recommender/mcclk.py	MCCLK.forward		12	0	0		100%
hopwise/model/knowledge_aware_recommender/mcclk.py	MCCLK.light_gcn		10	0	0		100%
hopwise/model/knowledge_aware_recommender/mcclk.py	MCCLK.sim		3	0	0		100%
hopwise/model/knowledge_aware_recommender/mcclk.py	MCCLK.calculate_loss		28	5	0		82%
hopwise/model/knowledge_aware_recommender/mcclk.py	MCCLK.local_level_loss		8	0	0		100%
hopwise/model/knowledge_aware_recommender/mcclk.py	MCCLK.local_level_loss.exp_temp		1	0	0		100%
hopwise/model/knowledge_aware_recommender/mcclk.py	MCCLK.global_level_loss_1		12	0	0		100%
hopwise/model/knowledge_aware_recommender/mcclk.py	MCCLK.global_level_loss_1.exp_temp		1	0	0		100%
hopwise/model/knowledge_aware_recommender/mcclk.py	MCCLK.global_level_loss_2		12	0	0		100%
hopwise/model/knowledge_aware_recommender/mcclk.py	MCCLK.global_level_loss_2.exp_temp		1	0	0		100%
hopwise/model/knowledge_aware_recommender/mcclk.py	MCCLK.predict		14	14	0		0%
hopwise/model/knowledge_aware_recommender/mcclk.py	MCCLK.full_sort_predict		11	1	0		91%
hopwise/model/knowledge_aware_recommender/mcclk.py	(no function)		32	0	0		100%
hopwise/model/knowledge_aware_recommender/mkr.py	MKR.__init__		31	0	0		100%
hopwise/model/knowledge_aware_recommender/mkr.py	MKR.forward		25	0	0		100%
hopwise/model/knowledge_aware_recommender/mkr.py	MKR._l2_loss		1	0	0		100%
hopwise/model/knowledge_aware_recommender/mkr.py	MKR.calculate_rs_loss		9	0	0		100%
hopwise/model/knowledge_aware_recommender/mkr.py	MKR.calculate_kg_loss		9	0	0		100%
hopwise/model/knowledge_aware_recommender/mkr.py	MKR.predict		6	0	0		100%
hopwise/model/knowledge_aware_recommender/mkr.py	CrossCompressUnit.__init__		6	0	0		100%
hopwise/model/knowledge_aware_recommender/mkr.py	CrossCompressUnit.forward		12	0	0		100%
hopwise/model/knowledge_aware_recommender/mkr.py	(no function)		17	0	0		100%
hopwise/model/knowledge_aware_recommender/pgpr.py	PGPR.__init__		52	0	0		100%
hopwise/model/knowledge_aware_recommender/pgpr.py	PGPR.select_action		10	0	0		100%
hopwise/model/knowledge_aware_recommender/pgpr.py	PGPR.update		27	4	0		85%
hopwise/model/knowledge_aware_recommender/pgpr.py	PGPR.forward		10	0	0		100%
hopwise/model/knowledge_aware_recommender/pgpr.py	PGPR.calculate_loss		11	0	0		100%
hopwise/model/knowledge_aware_recommender/pgpr.py	PGPR._has_pattern		2	0	0		100%
hopwise/model/knowledge_aware_recommender/pgpr.py	PGPR._get_next_node_type		3	0	0		100%
hopwise/model/knowledge_aware_recommender/pgpr.py	PGPR.reset		6	0	0		100%
hopwise/model/knowledge_aware_recommender/pgpr.py	PGPR._batch_get_actions		1	0	0		100%
hopwise/model/knowledge_aware_recommender/pgpr.py	PGPR._get_actions		40	17	0		58%
hopwise/model/knowledge_aware_recommender/pgpr.py	PGPR._batch_get_state		2	0	0		100%
hopwise/model/knowledge_aware_recommender/pgpr.py	PGPR._get_state		22	0	0		100%
hopwise/model/knowledge_aware_recommender/pgpr.py	PGPR._batch_get_reward		2	0	0		100%
hopwise/model/knowledge_aware_recommender/pgpr.py	PGPR._get_reward		13	0	0		100%
hopwise/model/knowledge_aware_recommender/pgpr.py	PGPR._is_done		1	0	0		100%
hopwise/model/knowledge_aware_recommender/pgpr.py	PGPR.batch_step		14	0	0		100%
hopwise/model/knowledge_aware_recommender/pgpr.py	PGPR.batch_action_mask		11	3	0		73%
hopwise/model/knowledge_aware_recommender/pgpr.py	PGPR._batch_acts_to_masks		5	0	0		100%
hopwise/model/knowledge_aware_recommender/pgpr.py	PGPR.predict		1	1	0		0%
hopwise/model/knowledge_aware_recommender/pgpr.py	PGPR.full_sort_predict		4	4	0		0%
hopwise/model/knowledge_aware_recommender/pgpr.py	PGPR.explain		6	0	0		100%
hopwise/model/knowledge_aware_recommender/pgpr.py	PGPR.decode_path		1	0	0		100%
hopwise/model/knowledge_aware_recommender/pgpr.py	PGPR.beam_search		33	0	0		100%
hopwise/model/knowledge_aware_recommender/pgpr.py	PGPR.collect_scores		45	4	0		91%
hopwise/model/knowledge_aware_recommender/pgpr.py	KGState.__init__		9	4	0		56%
hopwise/model/knowledge_aware_recommender/pgpr.py	KGState.__call__		7	4	0		43%
hopwise/model/knowledge_aware_recommender/pgpr.py	(no function)		38	0	0		100%
hopwise/model/knowledge_aware_recommender/ripplenet.py	RippleNet.__init__		39	0	0		100%
hopwise/model/knowledge_aware_recommender/ripplenet.py	RippleNet._build_ripple_set		39	8	0		79%
hopwise/model/knowledge_aware_recommender/ripplenet.py	RippleNet.forward		28	0	0		100%
hopwise/model/knowledge_aware_recommender/ripplenet.py	RippleNet._key_addressing		14	0	0		100%
hopwise/model/knowledge_aware_recommender/ripplenet.py	RippleNet.calculate_loss		22	0	0		100%
hopwise/model/knowledge_aware_recommender/ripplenet.py	RippleNet.predict		2	2	0		0%
hopwise/model/knowledge_aware_recommender/ripplenet.py	RippleNet._key_addressing_full		21	0	0		100%
hopwise/model/knowledge_aware_recommender/ripplenet.py	RippleNet.full_sort_predict		27	0	0		100%
hopwise/model/knowledge_aware_recommender/ripplenet.py	(no function)		18	0	0		100%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec.__init__		81	81	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec.expand_paths		2	2	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec.expand_paths._expand_recursive		10	10	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec._get_pretrained_weights		5	5	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec.select_action		10	10	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec.update		27	27	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec.forward		10	10	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec._get_transe_rec_embedding		6	6	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec._get_transe_kg_embedding		5	5	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec.calculate_loss_transe		29	29	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec.forward_transe		2	2	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec.predict_transe		7	7	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec.full_sort_predict_transe		10	10	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec.calculate_loss		13	13	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec._has_pattern		2	2	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec._get_next_node_type		3	3	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec.reset		6	6	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec._batch_get_actions		1	1	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec._get_actions		48	48	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec._batch_get_state		2	2	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec._get_state		22	22	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec._batch_get_reward		2	2	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec._get_reward		18	18	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec._is_done		1	1	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec.batch_step		14	14	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec.batch_action_mask		11	11	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec._batch_acts_to_masks		5	5	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec.predict		3	3	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec.full_sort_predict		7	7	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec._build_interacted_matrix		9	9	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec.explain		7	7	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec.decode_path		1	1	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec.beam_search		33	33	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	TPRec.collect_scores		47	47	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	KGState.__init__		9	9	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	KGState.__call__		7	7	0		0%
hopwise/model/knowledge_aware_recommender/tprec.py	(no function)		47	0	0		100%
hopwise/model/knowledge_aware_recommender/userkgat.py	Aggregator.__init__		15	15	0		0%
hopwise/model/knowledge_aware_recommender/userkgat.py	Aggregator.forward		14	14	0		0%
hopwise/model/knowledge_aware_recommender/userkgat.py	UserKGAT.__init__		27	27	0		0%
hopwise/model/knowledge_aware_recommender/userkgat.py	UserKGAT.init_graph		16	16	0		0%
hopwise/model/knowledge_aware_recommender/userkgat.py	UserKGAT._get_ego_embeddings		1	1	0		0%
hopwise/model/knowledge_aware_recommender/userkgat.py	UserKGAT.forward		8	8	0		0%
hopwise/model/knowledge_aware_recommender/userkgat.py	UserKGAT._get_kg_embedding		9	9	0		0%
hopwise/model/knowledge_aware_recommender/userkgat.py	UserKGAT.calculate_loss		15	15	0		0%
hopwise/model/knowledge_aware_recommender/userkgat.py	UserKGAT.calculate_kg_loss		13	13	0		0%
hopwise/model/knowledge_aware_recommender/userkgat.py	UserKGAT.generate_transE_score		9	9	0		0%
hopwise/model/knowledge_aware_recommender/userkgat.py	UserKGAT.update_attentive_A		14	14	0		0%
hopwise/model/knowledge_aware_recommender/userkgat.py	UserKGAT.predict		7	7	0		0%
hopwise/model/knowledge_aware_recommender/userkgat.py	UserKGAT.full_sort_predict		7	7	0		0%
hopwise/model/knowledge_aware_recommender/userkgat.py	(no function)		25	0	0		100%
hopwise/model/knowledge_aware_recommender/userktup.py	UserKTUP.__init__		32	32	0		0%
hopwise/model/knowledge_aware_recommender/userktup.py	UserKTUP._masked_softmax		2	2	0		0%
hopwise/model/knowledge_aware_recommender/userktup.py	UserKTUP.convert_to_one_hot		5	5	0		0%
hopwise/model/knowledge_aware_recommender/userktup.py	UserKTUP.st_gumbel_softmax		9	9	0		0%
hopwise/model/knowledge_aware_recommender/userktup.py	UserKTUP._get_preferences		6	6	0		0%
hopwise/model/knowledge_aware_recommender/userktup.py	UserKTUP._transH_projection		1	1	0		0%
hopwise/model/knowledge_aware_recommender/userktup.py	UserKTUP._get_score		4	4	0		0%
hopwise/model/knowledge_aware_recommender/userktup.py	UserKTUP.forward		10	10	0		0%
hopwise/model/knowledge_aware_recommender/userktup.py	UserKTUP.calculate_loss		14	14	0		0%
hopwise/model/knowledge_aware_recommender/userktup.py	UserKTUP.calculate_kg_loss		25	25	0		0%
hopwise/model/knowledge_aware_recommender/userktup.py	UserKTUP.predict		4	4	0		0%
hopwise/model/knowledge_aware_recommender/userktup.py	orthogonalLoss		1	1	0		0%
hopwise/model/knowledge_aware_recommender/userktup.py	alignLoss		4	4	0		0%
hopwise/model/knowledge_aware_recommender/userktup.py	(no function)		24	24	0		0%
hopwise/model/knowledge_aware_recommender/usermkr.py	UserMKR.__init__		34	34	0		0%
hopwise/model/knowledge_aware_recommender/usermkr.py	UserMKR.forward		27	27	0		0%
hopwise/model/knowledge_aware_recommender/usermkr.py	UserMKR._l2_loss		1	1	0		0%
hopwise/model/knowledge_aware_recommender/usermkr.py	UserMKR.calculate_rs_loss		9	9	0		0%
hopwise/model/knowledge_aware_recommender/usermkr.py	UserMKR.calculate_kg_loss		10	10	0		0%
hopwise/model/knowledge_aware_recommender/usermkr.py	UserMKR.predict		6	6	0		0%
hopwise/model/knowledge_aware_recommender/usermkr.py	CrossCompressUnit.__init__		6	6	0		0%
hopwise/model/knowledge_aware_recommender/usermkr.py	CrossCompressUnit.forward		12	12	0		0%
hopwise/model/knowledge_aware_recommender/usermkr.py	(no function)		17	17	0		0%
hopwise/model/knowledge_graph_embedding_recommender/__init__.py	(no function)		14	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/analogy.py	Analogy.__init__		18	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/analogy.py	Analogy.forward		1	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/analogy.py	Analogy._get_rec_embeddings		14	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/analogy.py	Analogy._get_kg_embeddings		13	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/analogy.py	Analogy.calculate_loss		16	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/analogy.py	Analogy.predict		13	13	0		0%
hopwise/model/knowledge_graph_embedding_recommender/analogy.py	Analogy.full_sort_predict		24	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/analogy.py	Analogy.predict_kg		13	13	0		0%
hopwise/model/knowledge_graph_embedding_recommender/analogy.py	Analogy.full_sort_predict_kg		25	25	0		0%
hopwise/model/knowledge_graph_embedding_recommender/analogy.py	(no function)		17	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/complex.py	ComplEx.__init__		12	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/complex.py	ComplEx.forward		1	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/complex.py	ComplEx.triple_dot		1	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/complex.py	ComplEx._get_rec_embeddings		10	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/complex.py	ComplEx._get_kg_embeddings		9	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/complex.py	ComplEx.calculate_loss		20	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/complex.py	ComplEx.predict		10	10	0		0%
hopwise/model/knowledge_graph_embedding_recommender/complex.py	ComplEx.predict_kg		10	10	0		0%
hopwise/model/knowledge_graph_embedding_recommender/complex.py	ComplEx.full_sort_predict		17	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/complex.py	ComplEx.full_sort_predict_kg		16	16	0		0%
hopwise/model/knowledge_graph_embedding_recommender/complex.py	(no function)		17	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/conve.py	ConvE.__init__		27	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/conve.py	ConvE.forward		16	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/conve.py	ConvE._get_rec_embeddings		4	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/conve.py	ConvE._get_kg_embeddings		3	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/conve.py	ConvE.calculate_loss		19	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/conve.py	ConvE.predict		9	9	0		0%
hopwise/model/knowledge_graph_embedding_recommender/conve.py	ConvE.predict_kg		8	8	0		0%
hopwise/model/knowledge_graph_embedding_recommender/conve.py	ConvE.full_sort_predict		7	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/conve.py	ConvE.full_sort_predict_kg		6	6	0		0%
hopwise/model/knowledge_graph_embedding_recommender/conve.py	(no function)		17	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/convkb.py	ConvKB.__init__		20	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/convkb.py	ConvKB.forward		14	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/convkb.py	ConvKB._get_regularization		4	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/convkb.py	ConvKB._get_rec_embeddings		6	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/convkb.py	ConvKB._get_kg_embeddings		5	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/convkb.py	ConvKB.calculate_loss		20	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/convkb.py	ConvKB.predict		7	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/convkb.py	ConvKB.predict_kg		7	7	0		0%
hopwise/model/knowledge_graph_embedding_recommender/convkb.py	(no function)		16	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/distmult.py	DistMult.__init__		9	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/distmult.py	DistMult.forward		1	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/distmult.py	DistMult._get_rec_embedding		6	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/distmult.py	DistMult._get_kg_embedding		5	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/distmult.py	DistMult.calculate_loss		17	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/distmult.py	DistMult.predict		7	7	0		0%
hopwise/model/knowledge_graph_embedding_recommender/distmult.py	DistMult.predict_kg		7	7	0		0%
hopwise/model/knowledge_graph_embedding_recommender/distmult.py	DistMult.full_sort_predict		10	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/distmult.py	DistMult.full_sort_predict_kg		8	8	0		0%
hopwise/model/knowledge_graph_embedding_recommender/distmult.py	(no function)		16	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/hole.py	HolE.__init__		10	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/hole.py	HolE.forward		3	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/hole.py	HolE.get_rolling_matrix		3	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/hole.py	HolE._get_rec_embedding		6	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/hole.py	HolE._get_kg_embedding		5	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/hole.py	HolE.calculate_loss		17	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/hole.py	HolE.predict		7	7	0		0%
hopwise/model/knowledge_graph_embedding_recommender/hole.py	HolE.predict_kg		7	7	0		0%
hopwise/model/knowledge_graph_embedding_recommender/hole.py	HolE.full_sort_predict		10	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/hole.py	HolE.full_sort_predict_kg		9	9	0		0%
hopwise/model/knowledge_graph_embedding_recommender/hole.py	(no function)		17	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/rescal.py	RESCAL.__init__		9	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/rescal.py	RESCAL.forward		3	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/rescal.py	RESCAL._get_rec_embedding		6	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/rescal.py	RESCAL._get_kg_embedding		5	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/rescal.py	RESCAL.calculate_loss		17	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/rescal.py	RESCAL.predict		7	7	0		0%
hopwise/model/knowledge_graph_embedding_recommender/rescal.py	RESCAL.predict_kg		7	7	0		0%
hopwise/model/knowledge_graph_embedding_recommender/rescal.py	RESCAL.full_sort_predict		11	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/rescal.py	RESCAL.full_sort_predict_kg		10	10	0		0%
hopwise/model/knowledge_graph_embedding_recommender/rescal.py	(no function)		16	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/rotate.py	RotatE.__init__		13	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/rotate.py	RotatE.forward		6	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/rotate.py	RotatE._get_rec_embeddings		9	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/rotate.py	RotatE._get_kg_embeddings		8	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/rotate.py	RotatE.calculate_loss		20	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/rotate.py	RotatE.predict		9	9	0		0%
hopwise/model/knowledge_graph_embedding_recommender/rotate.py	RotatE.predict_kg		9	9	0		0%
hopwise/model/knowledge_graph_embedding_recommender/rotate.py	RotatE.full_sort_predict		20	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/rotate.py	RotatE.full_sort_predict_kg		19	19	0		0%
hopwise/model/knowledge_graph_embedding_recommender/rotate.py	(no function)		17	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/toruse.py	TorusE.__init__		9	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/toruse.py	TorusE._get_rec_embedding		6	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/toruse.py	TorusE._get_kg_embedding		5	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/toruse.py	TorusE.forward		8	8	0		0%
hopwise/model/knowledge_graph_embedding_recommender/toruse.py	TorusE.calculate_loss		15	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/toruse.py	TorusE.predict_kg		7	7	0		0%
hopwise/model/knowledge_graph_embedding_recommender/toruse.py	TorusE.predict		7	7	0		0%
hopwise/model/knowledge_graph_embedding_recommender/toruse.py	TorusE.full_sort_predict		17	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/toruse.py	TorusE.full_sort_predict_kg		16	16	0		0%
hopwise/model/knowledge_graph_embedding_recommender/toruse.py	(no function)		16	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transd.py	TransD.__init__		12	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transd.py	TransD._get_rec_embedding		6	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transd.py	TransD._get_rec_vec_embedding		6	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transd.py	TransD._get_kg_embedding		5	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transd.py	TransD._get_kg_vec_embedding		5	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transd.py	TransD.forward		2	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transd.py	TransD.calculate_loss		24	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transd.py	TransD.predict		13	13	0		0%
hopwise/model/knowledge_graph_embedding_recommender/transd.py	TransD.predict_kg		13	13	0		0%
hopwise/model/knowledge_graph_embedding_recommender/transd.py	TransD.full_sort_predict		13	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transd.py	TransD.full_sort_predict_kg		13	13	0		0%
hopwise/model/knowledge_graph_embedding_recommender/transd.py	(no function)		18	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transe.py	TransE.__init__		9	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transe.py	TransE.forward		2	2	0		0%
hopwise/model/knowledge_graph_embedding_recommender/transe.py	TransE._get_rec_embedding		6	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transe.py	TransE._get_kg_embedding		5	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transe.py	TransE.calculate_loss		15	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transe.py	TransE.predict		7	7	0		0%
hopwise/model/knowledge_graph_embedding_recommender/transe.py	TransE.full_sort_predict		10	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transe.py	TransE.predict_kg		7	7	0		0%
hopwise/model/knowledge_graph_embedding_recommender/transe.py	TransE.full_sort_predict_kg		11	11	0		0%
hopwise/model/knowledge_graph_embedding_recommender/transe.py	(no function)		16	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transh.py	TransH.__init__		11	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transh.py	TransH.forward		4	4	0		0%
hopwise/model/knowledge_graph_embedding_recommender/transh.py	TransH._get_rec_embedding		6	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transh.py	TransH._get_kg_embedding		5	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transh.py	TransH.project		1	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transh.py	TransH.calculate_loss		22	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transh.py	TransH.predict		8	8	0		0%
hopwise/model/knowledge_graph_embedding_recommender/transh.py	TransH.full_sort_predict		13	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transh.py	(no function)		15	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transr.py	TransR.__init__		11	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transr.py	TransR._get_rec_embedding		6	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transr.py	TransR._get_kg_embedding		5	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transr.py	TransR.forward		3	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transr.py	TransR.calculate_loss		21	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transr.py	TransR.predict		11	11	0		0%
hopwise/model/knowledge_graph_embedding_recommender/transr.py	TransR.predict_kg		10	10	0		0%
hopwise/model/knowledge_graph_embedding_recommender/transr.py	TransR.full_sort_predict		15	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/transr.py	(no function)		15	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/tucker.py	TuckER.__init__		19	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/tucker.py	TuckER.forward		13	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/tucker.py	TuckER._get_rec_embeddings		4	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/tucker.py	TuckER._get_kg_embeddings		3	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/tucker.py	TuckER.calculate_loss		19	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/tucker.py	TuckER.predict		8	8	0		0%
hopwise/model/knowledge_graph_embedding_recommender/tucker.py	TuckER.predict_kg		8	8	0		0%
hopwise/model/knowledge_graph_embedding_recommender/tucker.py	TuckER.full_sort_predict		7	0	0		100%
hopwise/model/knowledge_graph_embedding_recommender/tucker.py	(no function)		15	0	0		100%
hopwise/model/layers.py	MLPLayers.__init__		20	1	0		95%
hopwise/model/layers.py	MLPLayers.init_weights		5	5	0		0%
hopwise/model/layers.py	MLPLayers.forward		1	0	0		100%
hopwise/model/layers.py	activation_layer		19	5	0		74%
hopwise/model/layers.py	FMEmbedding.__init__		3	0	0		100%
hopwise/model/layers.py	FMEmbedding.forward		3	0	0		100%
hopwise/model/layers.py	FLEmbedding.__init__		3	3	0		0%
hopwise/model/layers.py	FLEmbedding.forward		5	5	0		0%
hopwise/model/layers.py	BaseFactorizationMachine.__init__		2	0	0		100%
hopwise/model/layers.py	BaseFactorizationMachine.forward		7	0	0		100%
hopwise/model/layers.py	BiGNNLayer.__init__		5	0	0		100%
hopwise/model/layers.py	BiGNNLayer.forward		5	0	0		100%
hopwise/model/layers.py	AttLayer.__init__		5	0	0		100%
hopwise/model/layers.py	AttLayer.forward		6	0	0		100%
hopwise/model/layers.py	Dice.__init__		3	0	0		100%
hopwise/model/layers.py	Dice.forward		3	0	0		100%
hopwise/model/layers.py	SequenceAttLayer.__init__		8	0	0		100%
hopwise/model/layers.py	SequenceAttLayer.forward		21	0	0		100%
hopwise/model/layers.py	VanillaAttention.__init__		2	0	0		100%
hopwise/model/layers.py	VanillaAttention.forward		4	0	0		100%
hopwise/model/layers.py	MultiHeadAttention.__init__		15	1	0		93%
hopwise/model/layers.py	MultiHeadAttention.transpose_for_scores		3	0	0		100%
hopwise/model/layers.py	MultiHeadAttention.forward		19	0	0		100%
hopwise/model/layers.py	FeedForward.__init__		6	0	0		100%
hopwise/model/layers.py	FeedForward.get_hidden_act		2	0	0		100%
hopwise/model/layers.py	FeedForward.gelu		1	0	0		100%
hopwise/model/layers.py	FeedForward.swish		1	0	0		100%
hopwise/model/layers.py	FeedForward.forward		6	0	0		100%
hopwise/model/layers.py	TransformerLayer.__init__		3	0	0		100%
hopwise/model/layers.py	TransformerLayer.forward		3	0	0		100%
hopwise/model/layers.py	TransformerEncoder.__init__		3	0	0		100%
hopwise/model/layers.py	TransformerEncoder.forward		8	1	0		88%
hopwise/model/layers.py	ItemToInterestAggregation.__init__		3	0	0		100%
hopwise/model/layers.py	ItemToInterestAggregation.forward		4	0	0		100%
hopwise/model/layers.py	LightMultiHeadAttention.__init__		20	1	0		95%
hopwise/model/layers.py	LightMultiHeadAttention.transpose_for_scores		3	0	0		100%
hopwise/model/layers.py	LightMultiHeadAttention.forward		27	0	0		100%
hopwise/model/layers.py	LightTransformerLayer.__init__		3	0	0		100%
hopwise/model/layers.py	LightTransformerLayer.forward		3	0	0		100%
hopwise/model/layers.py	LightTransformerEncoder.__init__		3	0	0		100%
hopwise/model/layers.py	LightTransformerEncoder.forward		8	1	0		88%
hopwise/model/layers.py	ContextSeqEmbAbstractLayer.__init__		16	0	0		100%
hopwise/model/layers.py	ContextSeqEmbAbstractLayer.get_fields_name_dim		25	7	0		72%
hopwise/model/layers.py	ContextSeqEmbAbstractLayer.get_embedding		15	3	0		80%
hopwise/model/layers.py	ContextSeqEmbAbstractLayer.embed_float_fields		9	7	0		22%
hopwise/model/layers.py	ContextSeqEmbAbstractLayer.embed_token_fields		9	0	0		100%
hopwise/model/layers.py	ContextSeqEmbAbstractLayer.embed_float_seq_fields		26	22	0		15%
hopwise/model/layers.py	ContextSeqEmbAbstractLayer.embed_token_seq_fields		24	0	0		100%
hopwise/model/layers.py	ContextSeqEmbAbstractLayer.embed_input_fields		46	8	0		83%
hopwise/model/layers.py	ContextSeqEmbAbstractLayer.forward		1	0	0		100%
hopwise/model/layers.py	ContextSeqEmbLayer.__init__		15	2	0		87%
hopwise/model/layers.py	FeatureSeqEmbLayer.__init__		15	2	0		87%
hopwise/model/layers.py	CNNLayers.__init__		25	8	0		68%
hopwise/model/layers.py	CNNLayers.init_weights		5	5	0		0%
hopwise/model/layers.py	CNNLayers.forward		1	0	0		100%
hopwise/model/layers.py	FMFirstOrderLinear.__init__		43	9	0		79%
hopwise/model/layers.py	FMFirstOrderLinear.embed_float_fields		5	3	0		40%
hopwise/model/layers.py	FMFirstOrderLinear.embed_float_seq_fields		25	21	0		16%
hopwise/model/layers.py	FMFirstOrderLinear.embed_token_fields		5	1	0		80%
hopwise/model/layers.py	FMFirstOrderLinear.embed_token_seq_fields		13	1	0		92%
hopwise/model/layers.py	FMFirstOrderLinear.forward		34	8	0		76%
hopwise/model/layers.py	SparseDropout.__init__		2	0	0		100%
hopwise/model/layers.py	SparseDropout.forward		6	0	0		100%
hopwise/model/layers.py	ResidualBlock.__init__		5	0	0		100%
hopwise/model/layers.py	ResidualBlock.forward		1	0	0		100%
hopwise/model/layers.py	(no function)		97	0	0		100%
hopwise/model/logits_processor.py	LogitsProcessor.__call__		1	1	0		0%
hopwise/model/logits_processor.py	LogitsProcessorList.__call__		8	3	0		62%
hopwise/model/logits_processor.py	ConstrainedLogitsProcessorWordLevel.__init__		12	1	0		92%
hopwise/model/logits_processor.py	ConstrainedLogitsProcessorWordLevel.is_bos_token_in_input		1	0	0		100%
hopwise/model/logits_processor.py	ConstrainedLogitsProcessorWordLevel.__call__		21	2	0		90%
hopwise/model/logits_processor.py	ConstrainedLogitsProcessorWordLevel.process_scores_rec		14	0	0		100%
hopwise/model/logits_processor.py	ConstrainedLogitsProcessorWordLevel.process_scores_lp		7	7	0		0%
hopwise/model/logits_processor.py	ConstrainedLogitsProcessorWordLevel.is_next_token_entity		3	0	0		100%
hopwise/model/logits_processor.py	ConstrainedLogitsProcessorWordLevel.get_current_key		3	0	0		100%
hopwise/model/logits_processor.py	ConstrainedLogitsProcessorWordLevel.get_candidates_rec		7	0	0		100%
hopwise/model/logits_processor.py	ConstrainedLogitsProcessorWordLevel.get_candidates_lp		1	1	0		0%
hopwise/model/logits_processor.py	ConstrainedLogitsProcessorWordLevel.get_banned_mask		6	0	0		100%
hopwise/model/logits_processor.py	PrefixConstrainedLogitsProcessorWordLevel.__init__		2	2	0		0%
hopwise/model/logits_processor.py	PrefixConstrainedLogitsProcessorWordLevel.__call__		12	12	0		0%
hopwise/model/logits_processor.py	PLMLogitsProcessorWordLevel.__init__		13	1	0		92%
hopwise/model/logits_processor.py	PLMLogitsProcessorWordLevel.__call__		17	0	0		100%
hopwise/model/logits_processor.py	PLMLogitsProcessorWordLevel.is_bos_token_in_input		1	0	0		100%
hopwise/model/logits_processor.py	PLMLogitsProcessorWordLevel.is_next_token_entity		3	0	0		100%
hopwise/model/logits_processor.py	PLMLogitsProcessorWordLevel.process_scores		14	0	0		100%
hopwise/model/logits_processor.py	(no function)		29	0	0		100%
hopwise/model/loss.py	SSMLoss.__init__		4	4	0		0%
hopwise/model/loss.py	SSMLoss.forward		11	11	0		0%
hopwise/model/loss.py	SimCELoss.__init__		2	2	0		0%
hopwise/model/loss.py	SimCELoss.forward		7	7	0		0%
hopwise/model/loss.py	BPRLoss.__init__		2	0	0		100%
hopwise/model/loss.py	BPRLoss.forward		2	0	0		100%
hopwise/model/loss.py	RegLoss.__init__		1	0	0		100%
hopwise/model/loss.py	RegLoss.forward		5	0	0		100%
hopwise/model/loss.py	EmbLoss.__init__		2	0	0		100%
hopwise/model/loss.py	EmbLoss.forward		12	0	0		100%
hopwise/model/loss.py	EmbMarginLoss.__init__		2	0	0		100%
hopwise/model/loss.py	EmbMarginLoss.forward		8	0	0		100%
hopwise/model/loss.py	InnerProductLoss.__init__		1	0	0		100%
hopwise/model/loss.py	InnerProductLoss.forward		3	0	0		100%
hopwise/model/loss.py	LogisticLoss.__init__		2	0	0		100%
hopwise/model/loss.py	LogisticLoss.forward		8	0	0		100%
hopwise/model/loss.py	(no function)		27	0	0		100%
hopwise/model/path_language_modeling_recommender/__init__.py	(no function)		6	0	0		100%
hopwise/model/path_language_modeling_recommender/kgglm.py	KGGLM.__init__		11	0	0		100%
hopwise/model/path_language_modeling_recommender/kgglm.py	(no function)		6	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlm.py	PEARLM.__init__		20	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlm.py	PEARLM.forward		19	3	0		84%
hopwise/model/path_language_modeling_recommender/pearlm.py	PEARLM.predict		1	1	0		0%
hopwise/model/path_language_modeling_recommender/pearlm.py	PEARLM.generate		4	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlm.py	(no function)		13	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmgpt2.py	LayerNorm.__init__		3	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmgpt2.py	LayerNorm.forward		1	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmgpt2.py	AutoregressiveSelfAttention.__init__		13	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmgpt2.py	AutoregressiveSelfAttention.forward		17	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmgpt2.py	FeedForward.__init__		5	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmgpt2.py	FeedForward.forward		5	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmgpt2.py	Block.__init__		5	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmgpt2.py	Block.forward		5	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmgpt2.py	PEARLMGPT2.__init__		22	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmgpt2.py	PEARLMGPT2._init_weights		6	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmgpt2.py	PEARLMGPT2.forward		10	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmgpt2.py	PEARLMGPT2.calculate_loss		6	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmgpt2.py	PEARLMGPT2.predict		4	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmgpt2.py	(no function)		24	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmllama2.py	AutoregressiveSelfAttention.__init__		12	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmllama2.py	AutoregressiveSelfAttention.forward		17	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmllama2.py	FeedForward.__init__		5	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmllama2.py	FeedForward.forward		4	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmllama2.py	Block.__init__		5	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmllama2.py	Block.forward		9	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmllama2.py	PEARLMLlama2.__init__		20	1	0		95%
hopwise/model/path_language_modeling_recommender/pearlmllama2.py	PEARLMLlama2._init_weights		6	1	0		83%
hopwise/model/path_language_modeling_recommender/pearlmllama2.py	PEARLMLlama2.forward		7	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmllama2.py	PEARLMLlama2.calculate_loss		6	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmllama2.py	PEARLMLlama2.predict		4	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmllama2.py	precompute_rope_params		8	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmllama2.py	compute_rope		9	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmllama2.py	(no function)		22	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmllama3.py	AutoregressiveGroupQuerySelfAttention.__init__		15	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmllama3.py	AutoregressiveGroupQuerySelfAttention.forward		19	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmllama3.py	FeedForward.__init__		5	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmllama3.py	FeedForward.forward		4	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmllama3.py	Block.__init__		5	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmllama3.py	Block.forward		9	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmllama3.py	PEARLMLlama3.__init__		20	1	0		95%
hopwise/model/path_language_modeling_recommender/pearlmllama3.py	PEARLMLlama3._init_weights		6	1	0		83%
hopwise/model/path_language_modeling_recommender/pearlmllama3.py	PEARLMLlama3.forward		7	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmllama3.py	PEARLMLlama3.calculate_loss		6	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmllama3.py	PEARLMLlama3.predict		4	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmllama3.py	precompute_rope_params		18	9	0		50%
hopwise/model/path_language_modeling_recommender/pearlmllama3.py	compute_rope		9	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmllama3.py	SharedBuffers.get_buffers		9	0	0		100%
hopwise/model/path_language_modeling_recommender/pearlmllama3.py	(no function)		26	0	0		100%
hopwise/model/path_language_modeling_recommender/plm.py	PLM.__init__		29	0	0		100%
hopwise/model/path_language_modeling_recommender/plm.py	PLM.forward		32	5	0		84%
hopwise/model/path_language_modeling_recommender/plm.py	PLM.predict		1	1	0		0%
hopwise/model/path_language_modeling_recommender/plm.py	PLM.generate		4	0	0		100%
hopwise/model/path_language_modeling_recommender/plm.py	(no function)		13	0	0		100%
hopwise/model/sequence_postprocessor.py	BaseSequencePostProcessor.__init__		4	0	0		100%
hopwise/model/sequence_postprocessor.py	BaseSequencePostProcessor.get_sequences		1	1	0		0%
hopwise/model/sequence_postprocessor.py	BaseSequencePostProcessor.parse_sequences		11	0	0		100%
hopwise/model/sequence_postprocessor.py	BaseSequencePostProcessor._parse_single_sequence		10	0	0		100%
hopwise/model/sequence_postprocessor.py	SequencePostProcessorLP.__init__		6	6	0		0%
hopwise/model/sequence_postprocessor.py	SequencePostProcessorLP.update_topk		14	14	0		0%
hopwise/model/sequence_postprocessor.py	SequencePostProcessorLP.reset_topks		4	4	0		0%
hopwise/model/sequence_postprocessor.py	CumulativeSequenceScorePostProcessor.calculate_sequence_scores		8	0	0		100%
hopwise/model/sequence_postprocessor.py	CumulativeSequenceScorePostProcessor.normalize_tuple		2	0	0		100%
hopwise/model/sequence_postprocessor.py	CumulativeSequenceScorePostProcessor.get_sequences		13	0	0		100%
hopwise/model/sequence_postprocessor.py	SampleSearchSequenceScorePostProcessor.get_scores		7	0	0		100%
hopwise/model/sequence_postprocessor.py	SampleSearchSequenceScorePostProcessor.get_sequences		6	0	0		100%
hopwise/model/sequence_postprocessor.py	BeamSearchSequenceScorePostProcessor.get_sequences		9	9	0		0%
hopwise/model/sequence_postprocessor.py	(no function)		21	0	0		100%
hopwise/model/sequential_recommender/__init__.py	(no function)		32	0	0		100%
hopwise/model/sequential_recommender/bert4rec.py	BERT4Rec.__init__		32	2	0		94%
hopwise/model/sequential_recommender/bert4rec.py	BERT4Rec._init_weights		7	0	0		100%
hopwise/model/sequential_recommender/bert4rec.py	BERT4Rec.reconstruct_test_data		6	0	0		100%
hopwise/model/sequential_recommender/bert4rec.py	BERT4Rec.forward		13	0	0		100%
hopwise/model/sequential_recommender/bert4rec.py	BERT4Rec.multi_hot_embed		4	0	0		100%
hopwise/model/sequential_recommender/bert4rec.py	BERT4Rec.calculate_loss		24	1	0		96%
hopwise/model/sequential_recommender/bert4rec.py	BERT4Rec.predict		9	9	0		0%
hopwise/model/sequential_recommender/bert4rec.py	BERT4Rec.full_sort_predict		8	0	0		100%
hopwise/model/sequential_recommender/bert4rec.py	(no function)		13	0	0		100%
hopwise/model/sequential_recommender/caser.py	Caser.__init__		28	1	0		96%
hopwise/model/sequential_recommender/caser.py	Caser._init_weights		6	0	0		100%
hopwise/model/sequential_recommender/caser.py	Caser.forward		19	0	0		100%
hopwise/model/sequential_recommender/caser.py	Caser.reg_loss_conv_h		5	0	0		100%
hopwise/model/sequential_recommender/caser.py	Caser.calculate_loss		17	0	0		100%
hopwise/model/sequential_recommender/caser.py	Caser.predict		7	7	0		0%
hopwise/model/sequential_recommender/caser.py	Caser.full_sort_predict		6	0	0		100%
hopwise/model/sequential_recommender/caser.py	(no function)		14	0	0		100%
hopwise/model/sequential_recommender/core.py	TransNet.__init__		16	0	0		100%
hopwise/model/sequential_recommender/core.py	TransNet.get_attention_mask		6	0	0		100%
hopwise/model/sequential_recommender/core.py	TransNet.forward		14	0	0		100%
hopwise/model/sequential_recommender/core.py	TransNet._init_weights		7	0	0		100%
hopwise/model/sequential_recommender/core.py	CORE.__init__		17	2	0		88%
hopwise/model/sequential_recommender/core.py	CORE._reset_parameters		3	0	0		100%
hopwise/model/sequential_recommender/core.py	CORE.ave_net		3	0	0		100%
hopwise/model/sequential_recommender/core.py	CORE.forward		6	0	0		100%
hopwise/model/sequential_recommender/core.py	CORE.calculate_loss		9	0	0		100%
hopwise/model/sequential_recommender/core.py	CORE.predict		6	6	0		0%
hopwise/model/sequential_recommender/core.py	CORE.full_sort_predict		6	0	0		100%
hopwise/model/sequential_recommender/core.py	(no function)		20	0	0		100%
hopwise/model/sequential_recommender/dien.py	DIEN.__init__		29	0	0		100%
hopwise/model/sequential_recommender/dien.py	DIEN._init_weights		6	0	0		100%
hopwise/model/sequential_recommender/dien.py	DIEN.forward		23	1	0		96%
hopwise/model/sequential_recommender/dien.py	DIEN.calculate_loss		9	0	0		100%
hopwise/model/sequential_recommender/dien.py	DIEN.predict		7	0	0		100%
hopwise/model/sequential_recommender/dien.py	InterestExtractorNetwork.__init__		3	0	0		100%
hopwise/model/sequential_recommender/dien.py	InterestExtractorNetwork.forward		6	0	0		100%
hopwise/model/sequential_recommender/dien.py	InterestExtractorNetwork.auxiliary_loss		10	0	0		100%
hopwise/model/sequential_recommender/dien.py	InterestEvolvingLayer.__init__		12	4	0		67%
hopwise/model/sequential_recommender/dien.py	InterestEvolvingLayer.final_output		3	0	0		100%
hopwise/model/sequential_recommender/dien.py	InterestEvolvingLayer.forward		22	10	0		55%
hopwise/model/sequential_recommender/dien.py	AGRUCell.__init__		11	11	0		0%
hopwise/model/sequential_recommender/dien.py	AGRUCell.forward		9	9	0		0%
hopwise/model/sequential_recommender/dien.py	AUGRUCell.__init__		11	2	0		82%
hopwise/model/sequential_recommender/dien.py	AUGRUCell.forward		11	0	0		100%
hopwise/model/sequential_recommender/dien.py	DynamicRNN.__init__		7	1	0		86%
hopwise/model/sequential_recommender/dien.py	DynamicRNN.forward		15	1	0		93%
hopwise/model/sequential_recommender/dien.py	(no function)		32	0	0		100%
hopwise/model/sequential_recommender/din.py	DIN.__init__		22	0	0		100%
hopwise/model/sequential_recommender/din.py	DIN._init_weights		6	0	0		100%
hopwise/model/sequential_recommender/din.py	DIN.forward		22	1	0		95%
hopwise/model/sequential_recommender/din.py	DIN.calculate_loss		8	0	0		100%
hopwise/model/sequential_recommender/din.py	DIN.predict		6	0	0		100%
hopwise/model/sequential_recommender/din.py	(no function)		13	0	0		100%
hopwise/model/sequential_recommender/fdsa.py	FDSA.__init__		31	2	0		94%
hopwise/model/sequential_recommender/fdsa.py	FDSA._init_weights		7	0	0		100%
hopwise/model/sequential_recommender/fdsa.py	FDSA.forward		32	1	0		97%
hopwise/model/sequential_recommender/fdsa.py	FDSA.calculate_loss		16	7	0		56%
hopwise/model/sequential_recommender/fdsa.py	FDSA.predict		7	7	0		0%
hopwise/model/sequential_recommender/fdsa.py	FDSA.full_sort_predict		6	0	0		100%
hopwise/model/sequential_recommender/fdsa.py	(no function)		12	0	0		100%
hopwise/model/sequential_recommender/fearec.py	FEARec.__init__		36	2	0		94%
hopwise/model/sequential_recommender/fearec.py	FEARec.get_same_item_index		6	0	0		100%
hopwise/model/sequential_recommender/fearec.py	FEARec._init_weights		7	0	0		100%
hopwise/model/sequential_recommender/fearec.py	FEARec.truncated_normal_		8	8	0		0%
hopwise/model/sequential_recommender/fearec.py	FEARec.get_attention_mask		11	0	0		100%
hopwise/model/sequential_recommender/fearec.py	FEARec.get_bi_attention_mask		5	5	0		0%
hopwise/model/sequential_recommender/fearec.py	FEARec.forward		12	0	0		100%
hopwise/model/sequential_recommender/fearec.py	FEARec.alignment		2	2	0		0%
hopwise/model/sequential_recommender/fearec.py	FEARec.uniformity		3	3	0		0%
hopwise/model/sequential_recommender/fearec.py	FEARec.calculate_loss		66	29	0		56%
hopwise/model/sequential_recommender/fearec.py	FEARec.mask_correlated_samples		7	0	0		100%
hopwise/model/sequential_recommender/fearec.py	FEARec.info_nce		16	16	0		0%
hopwise/model/sequential_recommender/fearec.py	FEARec.decompose		13	13	0		0%
hopwise/model/sequential_recommender/fearec.py	FEARec.predict		7	7	0		0%
hopwise/model/sequential_recommender/fearec.py	FEARec.full_sort_predict		6	0	0		100%
hopwise/model/sequential_recommender/fearec.py	HybridAttention.__init__		56	9	0		84%
hopwise/model/sequential_recommender/fearec.py	HybridAttention.transpose_for_scores		3	0	0		100%
hopwise/model/sequential_recommender/fearec.py	HybridAttention.time_delay_agg_training		14	0	0		100%
hopwise/model/sequential_recommender/fearec.py	HybridAttention.time_delay_agg_inference		16	0	0		100%
hopwise/model/sequential_recommender/fearec.py	HybridAttention.forward		66	34	0		48%
hopwise/model/sequential_recommender/fearec.py	FeedForward.__init__		6	0	0		100%
hopwise/model/sequential_recommender/fearec.py	FeedForward.get_hidden_act		2	0	0		100%
hopwise/model/sequential_recommender/fearec.py	FeedForward.gelu		1	0	0		100%
hopwise/model/sequential_recommender/fearec.py	FeedForward.swish		1	1	0		0%
hopwise/model/sequential_recommender/fearec.py	FeedForward.forward		6	0	0		100%
hopwise/model/sequential_recommender/fearec.py	FEABlock.__init__		3	0	0		100%
hopwise/model/sequential_recommender/fearec.py	FEABlock.forward		3	0	0		100%
hopwise/model/sequential_recommender/fearec.py	FEAEncoder.__init__		6	0	0		100%
hopwise/model/sequential_recommender/fearec.py	FEAEncoder.forward		8	1	0		88%
hopwise/model/sequential_recommender/fearec.py	(no function)		46	0	0		100%
hopwise/model/sequential_recommender/fossil.py	FOSSIL.__init__		18	2	0		89%
hopwise/model/sequential_recommender/fossil.py	FOSSIL.inverse_seq_item_embedding		8	0	0		100%
hopwise/model/sequential_recommender/fossil.py	FOSSIL.reg_loss		3	0	0		100%
hopwise/model/sequential_recommender/fossil.py	FOSSIL.init_weights		2	0	0		100%
hopwise/model/sequential_recommender/fossil.py	FOSSIL.forward		5	0	0		100%
hopwise/model/sequential_recommender/fossil.py	FOSSIL.get_high_order_Markov		6	0	0		100%
hopwise/model/sequential_recommender/fossil.py	FOSSIL.get_similarity		3	0	0		100%
hopwise/model/sequential_recommender/fossil.py	FOSSIL.calculate_loss		19	6	0		68%
hopwise/model/sequential_recommender/fossil.py	FOSSIL.predict		8	8	0		0%
hopwise/model/sequential_recommender/fossil.py	FOSSIL.full_sort_predict		7	0	0		100%
hopwise/model/sequential_recommender/fossil.py	(no function)		16	0	0		100%
hopwise/model/sequential_recommender/fpmc.py	FPMC.__init__		12	1	0		92%
hopwise/model/sequential_recommender/fpmc.py	FPMC._init_weights		2	0	0		100%
hopwise/model/sequential_recommender/fpmc.py	FPMC.forward		16	0	0		100%
hopwise/model/sequential_recommender/fpmc.py	FPMC.calculate_loss		9	0	0		100%
hopwise/model/sequential_recommender/fpmc.py	FPMC.predict		6	0	0		100%
hopwise/model/sequential_recommender/fpmc.py	FPMC.full_sort_predict		14	0	0		100%
hopwise/model/sequential_recommender/fpmc.py	(no function)		14	0	0		100%
hopwise/model/sequential_recommender/gcsan.py	GNN.__init__		12	0	0		100%
hopwise/model/sequential_recommender/gcsan.py	GNN._reset_parameters		3	0	0		100%
hopwise/model/sequential_recommender/gcsan.py	GNN.GNNCell		12	0	0		100%
hopwise/model/sequential_recommender/gcsan.py	GNN.forward		3	0	0		100%
hopwise/model/sequential_recommender/gcsan.py	GCSAN.__init__		25	1	0		96%
hopwise/model/sequential_recommender/gcsan.py	GCSAN._init_weights		7	0	0		100%
hopwise/model/sequential_recommender/gcsan.py	GCSAN._get_slice		26	0	0		100%
hopwise/model/sequential_recommender/gcsan.py	GCSAN.forward		14	0	0		100%
hopwise/model/sequential_recommender/gcsan.py	GCSAN.calculate_loss		17	0	0		100%
hopwise/model/sequential_recommender/gcsan.py	GCSAN.predict		7	7	0		0%
hopwise/model/sequential_recommender/gcsan.py	GCSAN.full_sort_predict		6	0	0		100%
hopwise/model/sequential_recommender/gcsan.py	(no function)		22	0	0		100%
hopwise/model/sequential_recommender/gru4rec.py	GRU4Rec.__init__		16	1	0		94%
hopwise/model/sequential_recommender/gru4rec.py	GRU4Rec._init_weights		5	0	0		100%
hopwise/model/sequential_recommender/gru4rec.py	GRU4Rec.forward		6	0	0		100%
hopwise/model/sequential_recommender/gru4rec.py	GRU4Rec.calculate_loss		16	0	0		100%
hopwise/model/sequential_recommender/gru4rec.py	GRU4Rec.predict		7	7	0		0%
hopwise/model/sequential_recommender/gru4rec.py	GRU4Rec.full_sort_predict		6	0	0		100%
hopwise/model/sequential_recommender/gru4rec.py	(no function)		12	0	0		100%
hopwise/model/sequential_recommender/gru4reccpr.py	gelu		1	0	0		100%
hopwise/model/sequential_recommender/gru4reccpr.py	GRU4RecCPR.__init__		61	7	0		89%
hopwise/model/sequential_recommender/gru4reccpr.py	GRU4RecCPR._init_weights		5	0	0		100%
hopwise/model/sequential_recommender/gru4reccpr.py	GRU4RecCPR.forward		5	0	0		100%
hopwise/model/sequential_recommender/gru4reccpr.py	GRU4RecCPR.get_facet_emb		1	0	0		100%
hopwise/model/sequential_recommender/gru4reccpr.py	GRU4RecCPR.calculate_loss_prob		122	33	0		73%
hopwise/model/sequential_recommender/gru4reccpr.py	GRU4RecCPR.calculate_loss		2	0	0		100%
hopwise/model/sequential_recommender/gru4reccpr.py	GRU4RecCPR.predict		2	2	0		0%
hopwise/model/sequential_recommender/gru4reccpr.py	GRU4RecCPR.full_sort_predict		5	1	0		80%
hopwise/model/sequential_recommender/gru4reccpr.py	(no function)		17	0	0		100%
hopwise/model/sequential_recommender/gru4recf.py	GRU4RecF.__init__		23	2	0		91%
hopwise/model/sequential_recommender/gru4recf.py	GRU4RecF.forward		20	1	0		95%
hopwise/model/sequential_recommender/gru4recf.py	GRU4RecF.calculate_loss		16	7	0		56%
hopwise/model/sequential_recommender/gru4recf.py	GRU4RecF.predict		7	7	0		0%
hopwise/model/sequential_recommender/gru4recf.py	GRU4RecF.full_sort_predict		6	0	0		100%
hopwise/model/sequential_recommender/gru4recf.py	(no function)		12	0	0		100%
hopwise/model/sequential_recommender/gru4reckg.py	GRU4RecKG.__init__		23	1	0		96%
hopwise/model/sequential_recommender/gru4reckg.py	GRU4RecKG.forward		10	0	0		100%
hopwise/model/sequential_recommender/gru4reckg.py	GRU4RecKG.calculate_loss		16	0	0		100%
hopwise/model/sequential_recommender/gru4reckg.py	GRU4RecKG.predict		7	7	0		0%
hopwise/model/sequential_recommender/gru4reckg.py	GRU4RecKG.full_sort_predict		6	0	0		100%
hopwise/model/sequential_recommender/gru4reckg.py	(no function)		11	0	0		100%
hopwise/model/sequential_recommender/hgn.py	HGN.__init__		24	2	0		92%
hopwise/model/sequential_recommender/hgn.py	HGN.reg_loss		11	0	0		100%
hopwise/model/sequential_recommender/hgn.py	HGN._init_weights		6	0	0		100%
hopwise/model/sequential_recommender/hgn.py	HGN.feature_gating		8	0	0		100%
hopwise/model/sequential_recommender/hgn.py	HGN.instance_gating		10	2	0		80%
hopwise/model/sequential_recommender/hgn.py	HGN.forward		6	0	0		100%
hopwise/model/sequential_recommender/hgn.py	HGN.calculate_loss		18	0	0		100%
hopwise/model/sequential_recommender/hgn.py	HGN.predict		7	7	0		0%
hopwise/model/sequential_recommender/hgn.py	HGN.full_sort_predict		6	0	0		100%
hopwise/model/sequential_recommender/hgn.py	(no function)		15	0	0		100%
hopwise/model/sequential_recommender/hrm.py	HRM.__init__		20	1	0		95%
hopwise/model/sequential_recommender/hrm.py	HRM.inverse_seq_item		10	0	0		100%
hopwise/model/sequential_recommender/hrm.py	HRM._init_weights		2	0	0		100%
hopwise/model/sequential_recommender/hrm.py	HRM.forward		16	6	0		62%
hopwise/model/sequential_recommender/hrm.py	HRM.calculate_loss		17	0	0		100%
hopwise/model/sequential_recommender/hrm.py	HRM.predict		8	8	0		0%
hopwise/model/sequential_recommender/hrm.py	HRM.full_sort_predict		7	0	0		100%
hopwise/model/sequential_recommender/hrm.py	(no function)		13	0	0		100%
hopwise/model/sequential_recommender/ksr.py	KSR.__init__		36	1	0		97%
hopwise/model/sequential_recommender/ksr.py	KSR._init_weights		5	0	0		100%
hopwise/model/sequential_recommender/ksr.py	KSR._get_kg_embedding		5	0	0		100%
hopwise/model/sequential_recommender/ksr.py	KSR._memory_update_cell		3	0	0		100%
hopwise/model/sequential_recommender/ksr.py	KSR.memory_update		9	0	0		100%
hopwise/model/sequential_recommender/ksr.py	KSR.memory_read		3	0	0		100%
hopwise/model/sequential_recommender/ksr.py	KSR.forward		9	0	0		100%
hopwise/model/sequential_recommender/ksr.py	KSR._get_item_comb_embedding		4	0	0		100%
hopwise/model/sequential_recommender/ksr.py	KSR.calculate_loss		16	0	0		100%
hopwise/model/sequential_recommender/ksr.py	KSR.predict		7	7	0		0%
hopwise/model/sequential_recommender/ksr.py	KSR.full_sort_predict		6	0	0		100%
hopwise/model/sequential_recommender/ksr.py	(no function)		17	0	0		100%
hopwise/model/sequential_recommender/lightsans.py	LightSANs.__init__		24	1	0		96%
hopwise/model/sequential_recommender/lightsans.py	LightSANs._init_weights		7	0	0		100%
hopwise/model/sequential_recommender/lightsans.py	LightSANs.embedding_layer		4	0	0		100%
hopwise/model/sequential_recommender/lightsans.py	LightSANs.forward		7	0	0		100%
hopwise/model/sequential_recommender/lightsans.py	LightSANs.calculate_loss		16	0	0		100%
hopwise/model/sequential_recommender/lightsans.py	LightSANs.predict		7	7	0		0%
hopwise/model/sequential_recommender/lightsans.py	LightSANs.full_sort_predict		6	0	0		100%
hopwise/model/sequential_recommender/lightsans.py	(no function)		13	0	0		100%
hopwise/model/sequential_recommender/narm.py	NARM.__init__		21	1	0		95%
hopwise/model/sequential_recommender/narm.py	NARM._init_weights		6	1	0		83%
hopwise/model/sequential_recommender/narm.py	NARM.forward		14	0	0		100%
hopwise/model/sequential_recommender/narm.py	NARM.calculate_loss		16	0	0		100%
hopwise/model/sequential_recommender/narm.py	NARM.predict		7	7	0		0%
hopwise/model/sequential_recommender/narm.py	NARM.full_sort_predict		6	0	0		100%
hopwise/model/sequential_recommender/narm.py	(no function)		12	0	0		100%
hopwise/model/sequential_recommender/nextitnet.py	NextItNet.__init__		19	1	0		95%
hopwise/model/sequential_recommender/nextitnet.py	NextItNet._init_weights		7	0	0		100%
hopwise/model/sequential_recommender/nextitnet.py	NextItNet.forward		5	0	0		100%
hopwise/model/sequential_recommender/nextitnet.py	NextItNet.reg_loss_rb		6	0	0		100%
hopwise/model/sequential_recommender/nextitnet.py	NextItNet.calculate_loss		16	0	0		100%
hopwise/model/sequential_recommender/nextitnet.py	NextItNet.predict		6	6	0		0%
hopwise/model/sequential_recommender/nextitnet.py	NextItNet.full_sort_predict		5	0	0		100%
hopwise/model/sequential_recommender/nextitnet.py	ResidualBlock_a.__init__		10	10	0		0%
hopwise/model/sequential_recommender/nextitnet.py	ResidualBlock_a.forward		10	10	0		0%
hopwise/model/sequential_recommender/nextitnet.py	ResidualBlock_a.conv_pad		5	5	0		0%
hopwise/model/sequential_recommender/nextitnet.py	ResidualBlock_b.__init__		7	0	0		100%
hopwise/model/sequential_recommender/nextitnet.py	ResidualBlock_b.forward		7	0	0		100%
hopwise/model/sequential_recommender/nextitnet.py	ResidualBlock_b.conv_pad		5	0	0		100%
hopwise/model/sequential_recommender/nextitnet.py	(no function)		23	0	0		100%
hopwise/model/sequential_recommender/npe.py	NPE.__init__		17	1	0		94%
hopwise/model/sequential_recommender/npe.py	NPE._init_weights		2	0	0		100%
hopwise/model/sequential_recommender/npe.py	NPE.forward		4	0	0		100%
hopwise/model/sequential_recommender/npe.py	NPE.calculate_loss		17	0	0		100%
hopwise/model/sequential_recommender/npe.py	NPE.predict		7	7	0		0%
hopwise/model/sequential_recommender/npe.py	NPE.full_sort_predict		6	0	0		100%
hopwise/model/sequential_recommender/npe.py	(no function)		12	0	0		100%
hopwise/model/sequential_recommender/repeatnet.py	RepeatNet.__init__		13	0	0		100%
hopwise/model/sequential_recommender/repeatnet.py	RepeatNet._init_weights		6	0	0		100%
hopwise/model/sequential_recommender/repeatnet.py	RepeatNet.forward		9	0	0		100%
hopwise/model/sequential_recommender/repeatnet.py	RepeatNet.calculate_loss		8	1	0		88%
hopwise/model/sequential_recommender/repeatnet.py	RepeatNet.repeat_explore_loss		11	11	0		0%
hopwise/model/sequential_recommender/repeatnet.py	RepeatNet.full_sort_predict		4	0	0		100%
hopwise/model/sequential_recommender/repeatnet.py	RepeatNet.predict		7	7	0		0%
hopwise/model/sequential_recommender/repeatnet.py	Repeat_Explore_Mechanism.__init__		10	0	0		100%
hopwise/model/sequential_recommender/repeatnet.py	Repeat_Explore_Mechanism.forward		14	0	0		100%
hopwise/model/sequential_recommender/repeatnet.py	Repeat_Recommendation_Decoder.__init__		10	0	0		100%
hopwise/model/sequential_recommender/repeatnet.py	Repeat_Recommendation_Decoder.forward		13	0	0		100%
hopwise/model/sequential_recommender/repeatnet.py	Explore_Recommendation_Decoder.__init__		11	0	0		100%
hopwise/model/sequential_recommender/repeatnet.py	Explore_Recommendation_Decoder.forward		21	0	0		100%
hopwise/model/sequential_recommender/repeatnet.py	(no function)		24	0	0		100%
hopwise/model/sequential_recommender/rpg.py	RPG.__init__		29	2	0		93%
hopwise/model/sequential_recommender/rpg.py	RPG.load_state_dict		2	2	0		0%
hopwise/model/sequential_recommender/rpg.py	RPG.train		3	0	0		100%
hopwise/model/sequential_recommender/rpg.py	RPG.forward		7	0	0		100%
hopwise/model/sequential_recommender/rpg.py	RPG.calculate_loss		15	0	0		100%
hopwise/model/sequential_recommender/rpg.py	RPG.predict		3	3	0		0%
hopwise/model/sequential_recommender/rpg.py	RPG.full_sort_predict		17	0	0		100%
hopwise/model/sequential_recommender/rpg.py	RPG.graph_propagation		19	0	0		100%
hopwise/model/sequential_recommender/rpg.py	RPG.init_graph		14	0	0		100%
hopwise/model/sequential_recommender/rpg.py	(no function)		16	0	0		100%
hopwise/model/sequential_recommender/s3rec.py	S3Rec.__init__		47	2	0		96%
hopwise/model/sequential_recommender/s3rec.py	S3Rec._init_weights		7	0	0		100%
hopwise/model/sequential_recommender/s3rec.py	S3Rec._associated_attribute_prediction		4	0	0		100%
hopwise/model/sequential_recommender/s3rec.py	S3Rec._masked_item_prediction		4	0	0		100%
hopwise/model/sequential_recommender/s3rec.py	S3Rec._masked_attribute_prediction		4	0	0		100%
hopwise/model/sequential_recommender/s3rec.py	S3Rec._segment_prediction		3	0	0		100%
hopwise/model/sequential_recommender/s3rec.py	S3Rec.forward		11	0	0		100%
hopwise/model/sequential_recommender/s3rec.py	S3Rec.pretrain		27	0	0		100%
hopwise/model/sequential_recommender/s3rec.py	S3Rec._neg_sample		4	0	0		100%
hopwise/model/sequential_recommender/s3rec.py	S3Rec._padding_zero_at_left		3	0	0		100%
hopwise/model/sequential_recommender/s3rec.py	S3Rec.reconstruct_pretrain_data		65	2	0		97%
hopwise/model/sequential_recommender/s3rec.py	S3Rec.calculate_loss		19	6	0		68%
hopwise/model/sequential_recommender/s3rec.py	S3Rec.predict		8	8	0		0%
hopwise/model/sequential_recommender/s3rec.py	S3Rec.full_sort_predict		7	0	0		100%
hopwise/model/sequential_recommender/s3rec.py	(no function)		21	0	0		100%
hopwise/model/sequential_recommender/sasrec.py	SASRec.__init__		22	1	0		95%
hopwise/model/sequential_recommender/sasrec.py	SASRec._init_weights		7	0	0		100%
hopwise/model/sequential_recommender/sasrec.py	SASRec.forward		12	0	0		100%
hopwise/model/sequential_recommender/sasrec.py	SASRec.calculate_loss		16	0	0		100%
hopwise/model/sequential_recommender/sasrec.py	SASRec.predict		7	7	0		0%
hopwise/model/sequential_recommender/sasrec.py	SASRec.full_sort_predict		6	0	0		100%
hopwise/model/sequential_recommender/sasrec.py	(no function)		12	0	0		100%
hopwise/model/sequential_recommender/sasreccpr.py	gelu		1	0	0		100%
hopwise/model/sequential_recommender/sasreccpr.py	SASRecCPR.__init__		58	6	0		90%
hopwise/model/sequential_recommender/sasreccpr.py	SASRecCPR.get_facet_emb		1	0	0		100%
hopwise/model/sequential_recommender/sasreccpr.py	SASRecCPR._init_weights		7	0	0		100%
hopwise/model/sequential_recommender/sasreccpr.py	SASRecCPR.forward		10	0	0		100%
hopwise/model/sequential_recommender/sasreccpr.py	SASRecCPR.calculate_loss_prob		109	25	0		77%
hopwise/model/sequential_recommender/sasreccpr.py	SASRecCPR.calculate_loss		2	0	0		100%
hopwise/model/sequential_recommender/sasreccpr.py	SASRecCPR.predict		2	2	0		0%
hopwise/model/sequential_recommender/sasreccpr.py	SASRecCPR.full_sort_predict		5	2	0		60%
hopwise/model/sequential_recommender/sasreccpr.py	(no function)		17	0	0		100%
hopwise/model/sequential_recommender/sasrecf.py	SASRecF.__init__		29	2	0		93%
hopwise/model/sequential_recommender/sasrecf.py	SASRecF._init_weights		7	0	0		100%
hopwise/model/sequential_recommender/sasrecf.py	SASRecF.forward		26	1	0		96%
hopwise/model/sequential_recommender/sasrecf.py	SASRecF.calculate_loss		16	7	0		56%
hopwise/model/sequential_recommender/sasrecf.py	SASRecF.predict		7	7	0		0%
hopwise/model/sequential_recommender/sasrecf.py	SASRecF.full_sort_predict		6	0	0		100%
hopwise/model/sequential_recommender/sasrecf.py	(no function)		13	0	0		100%
hopwise/model/sequential_recommender/shan.py	SHAN.__init__		22	1	0		95%
hopwise/model/sequential_recommender/shan.py	SHAN.reg_loss		4	0	0		100%
hopwise/model/sequential_recommender/shan.py	SHAN.init_weights		7	2	0		71%
hopwise/model/sequential_recommender/shan.py	SHAN.forward		12	0	0		100%
hopwise/model/sequential_recommender/shan.py	SHAN.calculate_loss		17	0	0		100%
hopwise/model/sequential_recommender/shan.py	SHAN.predict		7	7	0		0%
hopwise/model/sequential_recommender/shan.py	SHAN.full_sort_predict		6	0	0		100%
hopwise/model/sequential_recommender/shan.py	SHAN.long_and_short_term_attention_based_pooling_layer		8	0	0		100%
hopwise/model/sequential_recommender/shan.py	SHAN.long_term_attention_based_pooling_layer		8	0	0		100%
hopwise/model/sequential_recommender/shan.py	(no function)		16	0	0		100%
hopwise/model/sequential_recommender/sine.py	SINE.__init__		31	1	0		97%
hopwise/model/sequential_recommender/sine.py	SINE._init_weight		2	0	0		100%
hopwise/model/sequential_recommender/sine.py	SINE._init_weights		5	0	0		100%
hopwise/model/sequential_recommender/sine.py	SINE.calculate_loss		22	0	0		100%
hopwise/model/sequential_recommender/sine.py	SINE.calculate_reg_loss		4	0	0		100%
hopwise/model/sequential_recommender/sine.py	SINE.predict		7	7	0		0%
hopwise/model/sequential_recommender/sine.py	SINE.forward		33	0	0		100%
hopwise/model/sequential_recommender/sine.py	SINE.full_sort_predict		6	0	0		100%
hopwise/model/sequential_recommender/sine.py	(no function)		19	0	0		100%
hopwise/model/sequential_recommender/srgnn.py	GNN.__init__		13	0	0		100%
hopwise/model/sequential_recommender/srgnn.py	GNN.GNNCell		12	0	0		100%
hopwise/model/sequential_recommender/srgnn.py	GNN.forward		3	0	0		100%
hopwise/model/sequential_recommender/srgnn.py	SRGNN.__init__		17	1	0		94%
hopwise/model/sequential_recommender/srgnn.py	SRGNN._reset_parameters		3	0	0		100%
hopwise/model/sequential_recommender/srgnn.py	SRGNN._get_slice		27	0	0		100%
hopwise/model/sequential_recommender/srgnn.py	SRGNN.forward		12	0	0		100%
hopwise/model/sequential_recommender/srgnn.py	SRGNN.calculate_loss		16	0	0		100%
hopwise/model/sequential_recommender/srgnn.py	SRGNN.predict		7	7	0		0%
hopwise/model/sequential_recommender/srgnn.py	SRGNN.full_sort_predict		6	0	0		100%
hopwise/model/sequential_recommender/srgnn.py	(no function)		20	0	0		100%
hopwise/model/sequential_recommender/stamp.py	STAMP.__init__		19	1	0		95%
hopwise/model/sequential_recommender/stamp.py	STAMP._init_weights		6	0	0		100%
hopwise/model/sequential_recommender/stamp.py	STAMP.forward		11	0	0		100%
hopwise/model/sequential_recommender/stamp.py	STAMP.count_alpha		10	0	0		100%
hopwise/model/sequential_recommender/stamp.py	STAMP.calculate_loss		16	0	0		100%
hopwise/model/sequential_recommender/stamp.py	STAMP.predict		7	7	0		0%
hopwise/model/sequential_recommender/stamp.py	STAMP.full_sort_predict		6	0	0		100%
hopwise/model/sequential_recommender/stamp.py	(no function)		13	0	0		100%
hopwise/model/sequential_recommender/transrec.py	TransRec.__init__		11	0	0		100%
hopwise/model/sequential_recommender/transrec.py	TransRec._l2_distance		1	0	0		100%
hopwise/model/sequential_recommender/transrec.py	TransRec.gather_last_items		3	0	0		100%
hopwise/model/sequential_recommender/transrec.py	TransRec.forward		6	0	0		100%
hopwise/model/sequential_recommender/transrec.py	TransRec.calculate_loss		18	0	0		100%
hopwise/model/sequential_recommender/transrec.py	TransRec.predict		10	10	0		0%
hopwise/model/sequential_recommender/transrec.py	TransRec.full_sort_predict		12	0	0		100%
hopwise/model/sequential_recommender/transrec.py	(no function)		15	0	0		100%
hopwise/quick_start/__init__.py	(no function)		1	0	0		100%
hopwise/quick_start/quick_start.py	run		12	12	0		0%
hopwise/quick_start/quick_start.py	run_hopwise		51	20	0		61%
hopwise/quick_start/quick_start.py	get_logger		6	0	0		100%
hopwise/quick_start/quick_start.py	format_metrics		2	0	0		100%
hopwise/quick_start/quick_start.py	run_hopwises		6	6	0		0%
hopwise/quick_start/quick_start.py	objective_function		19	0	0		100%
hopwise/quick_start/quick_start.py	load_data_and_model		23	23	0		0%
hopwise/quick_start/quick_start.py	(no function)		17	0	0		100%
hopwise/sampler/__init__.py	(no function)		1	0	0		100%
hopwise/sampler/sampler.py	AbstractSampler.__init__		4	0	0		100%
hopwise/sampler/sampler.py	AbstractSampler.set_distribution		3	0	0		100%
hopwise/sampler/sampler.py	AbstractSampler._uni_sampling		1	1	0		0%
hopwise/sampler/sampler.py	AbstractSampler._get_candidates_list		1	1	0		0%
hopwise/sampler/sampler.py	AbstractSampler._build_alias_table		25	9	0		64%
hopwise/sampler/sampler.py	AbstractSampler._pop_sampling		9	9	0		0%
hopwise/sampler/sampler.py	AbstractSampler.sampling		5	3	0		40%
hopwise/sampler/sampler.py	AbstractSampler.get_used_ids		1	1	0		0%
hopwise/sampler/sampler.py	AbstractSampler.sample_by_key_ids		19	0	0		100%
hopwise/sampler/sampler.py	Sampler.__init__		13	3	0		77%
hopwise/sampler/sampler.py	Sampler._get_candidates_list		4	0	0		100%
hopwise/sampler/sampler.py	Sampler._uni_sampling		1	0	0		100%
hopwise/sampler/sampler.py	Sampler.get_used_ids		11	1	0		91%
hopwise/sampler/sampler.py	Sampler.set_phase		6	1	0		83%
hopwise/sampler/sampler.py	Sampler.sample_by_user_ids		6	4	0		33%
hopwise/sampler/sampler.py	KGSampler.__init__		8	0	0		100%
hopwise/sampler/sampler.py	KGSampler._uni_sampling		1	0	0		100%
hopwise/sampler/sampler.py	KGSampler._get_candidates_list		1	1	0		0%
hopwise/sampler/sampler.py	KGSampler.get_used_ids		7	1	0		86%
hopwise/sampler/sampler.py	KGSampler.sample_by_entity_ids		6	4	0		33%
hopwise/sampler/sampler.py	RepeatableSampler.__init__		8	1	0		88%
hopwise/sampler/sampler.py	RepeatableSampler._uni_sampling		1	0	0		100%
hopwise/sampler/sampler.py	RepeatableSampler._get_candidates_list		1	1	0		0%
hopwise/sampler/sampler.py	RepeatableSampler.get_used_ids		1	0	0		100%
hopwise/sampler/sampler.py	RepeatableSampler.sample_by_user_ids		7	4	0		43%
hopwise/sampler/sampler.py	RepeatableSampler.set_phase		5	1	0		80%
hopwise/sampler/sampler.py	SeqSampler.__init__		5	0	0		100%
hopwise/sampler/sampler.py	SeqSampler._uni_sampling		1	0	0		100%
hopwise/sampler/sampler.py	SeqSampler.get_used_ids		1	0	0		100%
hopwise/sampler/sampler.py	SeqSampler.sample_neg_sequence		8	0	0		100%
hopwise/sampler/sampler.py	(no function)		39	0	0		100%
hopwise/trainer/__init__.py	(no function)		3	0	0		100%
hopwise/trainer/hf_path_trainer.py	HFPathTrainer.__init__		3	0	0		100%
hopwise/trainer/hf_path_trainer.py	HFPathTrainer.evaluate		2	0	0		100%
hopwise/trainer/hf_path_trainer.py	hopwiseCallback.__init__		9	0	0		100%
hopwise/trainer/hf_path_trainer.py	hopwiseCallback.on_train_begin		4	1	0		75%
hopwise/trainer/hf_path_trainer.py	hopwiseCallback.on_train_end		2	0	0		100%
hopwise/trainer/hf_path_trainer.py	hopwiseCallback.on_epoch_begin		5	0	0		100%
hopwise/trainer/hf_path_trainer.py	hopwiseCallback.on_epoch_end		23	5	0		78%
hopwise/trainer/hf_path_trainer.py	hopwiseCallback.on_step_end		11	3	0		73%
hopwise/trainer/hf_path_trainer.py	hopwiseCallback.on_evaluate		28	9	0		68%
hopwise/trainer/hf_path_trainer.py	(no function)		15	0	0		100%
hopwise/trainer/hyper_tuning.py	_recursiveFindNodes		18	5	0		72%
hopwise/trainer/hyper_tuning.py	_parameters		10	0	0		100%
hopwise/trainer/hyper_tuning.py	_spacesize		2	0	0		100%
hopwise/trainer/hyper_tuning.py	exhaustive_search		21	2	0		90%
hopwise/trainer/hyper_tuning.py	HyperTuning.__init__		27	5	0		81%
hopwise/trainer/hyper_tuning.py	HyperTuning.select_algo		47	7	0		85%
hopwise/trainer/hyper_tuning.py	HyperTuning.select_early_stop		2	0	0		100%
hopwise/trainer/hyper_tuning.py	HyperTuning._get_tuner_distributions		26	0	0		100%
hopwise/trainer/hyper_tuning.py	HyperTuning._get_tuner_distributions.choice		1	0	0		100%
hopwise/trainer/hyper_tuning.py	HyperTuning._get_tuner_distributions.uniform		1	0	0		100%
hopwise/trainer/hyper_tuning.py	HyperTuning._get_tuner_distributions.quniform		1	0	0		100%
hopwise/trainer/hyper_tuning.py	HyperTuning._get_tuner_distributions.loguniform		1	0	0		100%
hopwise/trainer/hyper_tuning.py	HyperTuning.build_space_from_file		3	0	0		100%
hopwise/trainer/hyper_tuning.py	HyperTuning.build_space_from_dict		3	3	0		0%
hopwise/trainer/hyper_tuning.py	HyperTuning._build_space_from_file		25	2	0		92%
hopwise/trainer/hyper_tuning.py	HyperTuning._build_space_from_dict		27	1	0		96%
hopwise/trainer/hyper_tuning.py	HyperTuning.build_optuna_space		21	1	0		95%
hopwise/trainer/hyper_tuning.py	HyperTuning.params2str		4	0	0		100%
hopwise/trainer/hyper_tuning.py	HyperTuning._print_result		6	0	0		100%
hopwise/trainer/hyper_tuning.py	HyperTuning.export_result		18	18	0		0%
hopwise/trainer/hyper_tuning.py	HyperTuning.trial		18	0	0		100%
hopwise/trainer/hyper_tuning.py	HyperTuning.plot_hyper		12	12	0		0%
hopwise/trainer/hyper_tuning.py	HyperTuning.run		51	9	0		82%
hopwise/trainer/hyper_tuning.py	HyperTuning.run.hyperopt_objective		8	5	0		38%
hopwise/trainer/hyper_tuning.py	(no function)		36	0	0		100%
hopwise/trainer/trainer.py	AbstractTrainer.__init__		5	2	0		60%
hopwise/trainer/trainer.py	AbstractTrainer.fit		1	1	0		0%
hopwise/trainer/trainer.py	AbstractTrainer.evaluate		1	1	0		0%
hopwise/trainer/trainer.py	AbstractTrainer.set_reduce_hook		4	4	0		0%
hopwise/trainer/trainer.py	AbstractTrainer.sync_grad_loss		4	4	0		0%
hopwise/trainer/trainer.py	Trainer.__init__		31	0	0		100%
hopwise/trainer/trainer.py	Trainer._build_optimizer		23	7	0		70%
hopwise/trainer/trainer.py	Trainer._train_epoch		31	4	0		87%
hopwise/trainer/trainer.py	Trainer._valid_epoch		3	0	0		100%
hopwise/trainer/trainer.py	Trainer._save_checkpoint		7	1	0		86%
hopwise/trainer/trainer.py	Trainer.resume_checkpoint		13	13	0		0%
hopwise/trainer/trainer.py	Trainer._check_nan		2	1	0		50%
hopwise/trainer/trainer.py	Trainer._generate_train_loss_output		8	0	0		100%
hopwise/trainer/trainer.py	Trainer._add_train_loss_to_tensorboard		4	0	0		100%
hopwise/trainer/trainer.py	Trainer._add_hparam_to_tensorboard		7	0	0		100%
hopwise/trainer/trainer.py	Trainer.fit		46	7	0		85%
hopwise/trainer/trainer.py	Trainer._batch_eval		3	0	0		100%
hopwise/trainer/trainer.py	Trainer._full_sort_batch_eval		16	1	0		94%
hopwise/trainer/trainer.py	Trainer._neg_sample_batch_eval		13	0	0		100%
hopwise/trainer/trainer.py	Trainer.evaluate		34	5	0		85%
hopwise/trainer/trainer.py	Trainer._map_reduce		12	12	0		0%
hopwise/trainer/trainer.py	Trainer._split_predict		14	1	0		93%
hopwise/trainer/trainer.py	KGTrainer.__init__		10	2	0		80%
hopwise/trainer/trainer.py	KGTrainer._train_epoch		13	2	0		85%
hopwise/trainer/trainer.py	KGTrainer._valid_epoch		12	7	0		42%
hopwise/trainer/trainer.py	KGTrainer._batch_eval		8	3	0		62%
hopwise/trainer/trainer.py	KGTrainer._full_sort_batch_eval		16	1	0		94%
hopwise/trainer/trainer.py	KGTrainer._split_predict_fn		14	14	0		0%
hopwise/trainer/trainer.py	KGTrainer.evaluate		35	15	0		57%
hopwise/trainer/trainer.py	KGTrainer.evaluate_data_loop		21	4	0		81%
hopwise/trainer/trainer.py	KGTrainer.fit		67	25	0		63%
hopwise/trainer/trainer.py	ExplainableTrainer.__init__		2	0	0		100%
hopwise/trainer/trainer.py	ExplainableTrainer._full_sort_batch_eval		7	0	0		100%
hopwise/trainer/trainer.py	PGPRTrainer.__init__		1	0	0		100%
hopwise/trainer/trainer.py	CAFETrainer.__init__		1	0	0		100%
hopwise/trainer/trainer.py	KGATTrainer.__init__		1	0	0		100%
hopwise/trainer/trainer.py	KGATTrainer._train_epoch		10	1	0		90%
hopwise/trainer/trainer.py	PretrainTrainer.__init__		3	0	0		100%
hopwise/trainer/trainer.py	PretrainTrainer.save_pretrained_model		3	0	0		100%
hopwise/trainer/trainer.py	PretrainTrainer._get_pretrained_model_path		2	0	0		100%
hopwise/trainer/trainer.py	PretrainTrainer.pretrain		16	2	0		88%
hopwise/trainer/trainer.py	S3RecTrainer.__init__		1	0	0		100%
hopwise/trainer/trainer.py	S3RecTrainer.fit		5	1	0		80%
hopwise/trainer/trainer.py	TPRecTrainer.__init__		1	1	0		0%
hopwise/trainer/trainer.py	TPRecTrainer.fit		5	5	0		0%
hopwise/trainer/trainer.py	TPRecTrainer._train_epoch		15	15	0		0%
hopwise/trainer/trainer.py	TPRecTrainer.evaluate		32	32	0		0%
hopwise/trainer/trainer.py	TPRecTrainer._full_sort_batch_eval		15	15	0		0%
hopwise/trainer/trainer.py	MKRTrainer.__init__		2	0	0		100%
hopwise/trainer/trainer.py	MKRTrainer._train_epoch		9	0	0		100%
hopwise/trainer/trainer.py	TraditionalTrainer.__init__		2	0	0		100%
hopwise/trainer/trainer.py	DecisionTreeTrainer.__init__		24	0	0		100%
hopwise/trainer/trainer.py	DecisionTreeTrainer._interaction_to_sparse		31	18	0		42%
hopwise/trainer/trainer.py	DecisionTreeTrainer._interaction_to_lib_datatype		1	1	0		0%
hopwise/trainer/trainer.py	DecisionTreeTrainer._valid_epoch		3	0	0		100%
hopwise/trainer/trainer.py	DecisionTreeTrainer._save_checkpoint		2	2	0		0%
hopwise/trainer/trainer.py	DecisionTreeTrainer.fit		26	10	0		62%
hopwise/trainer/trainer.py	DecisionTreeTrainer.evaluate		1	1	0		0%
hopwise/trainer/trainer.py	DecisionTreeTrainer._train_at_once		1	1	0		0%
hopwise/trainer/trainer.py	XGBoostTrainer.__init__		14	0	0		100%
hopwise/trainer/trainer.py	XGBoostTrainer._interaction_to_lib_datatype		2	0	0		100%
hopwise/trainer/trainer.py	XGBoostTrainer._train_at_once		6	0	0		100%
hopwise/trainer/trainer.py	XGBoostTrainer.evaluate		11	4	0		64%
hopwise/trainer/trainer.py	LightGBMTrainer.__init__		7	0	0		100%
hopwise/trainer/trainer.py	LightGBMTrainer._interaction_to_lib_datatype		2	0	0		100%
hopwise/trainer/trainer.py	LightGBMTrainer._train_at_once		6	0	0		100%
hopwise/trainer/trainer.py	LightGBMTrainer.evaluate		11	4	0		64%
hopwise/trainer/trainer.py	RaCTTrainer.__init__		1	1	0		0%
hopwise/trainer/trainer.py	RaCTTrainer.fit		7	7	0		0%
hopwise/trainer/trainer.py	RecVAETrainer.__init__		5	0	0		100%
hopwise/trainer/trainer.py	RecVAETrainer._train_epoch		11	0	0		100%
hopwise/trainer/trainer.py	RecVAETrainer._train_epoch.encoder_loss_func		1	0	0		100%
hopwise/trainer/trainer.py	RecVAETrainer._train_epoch.decoder_loss_func		1	0	0		100%
hopwise/trainer/trainer.py	NCLTrainer.__init__		3	0	0		100%
hopwise/trainer/trainer.py	NCLTrainer.fit		49	19	0		61%
hopwise/trainer/trainer.py	NCLTrainer._train_epoch		33	7	0		79%
hopwise/trainer/trainer.py	PEARLMfromscratchTrainer.__init__		2	0	0		100%
hopwise/trainer/trainer.py	PEARLMfromscratchTrainer._full_sort_batch_eval		1	0	0		100%
hopwise/trainer/trainer.py	HFPathLanguageModelingTrainer.__init__		6	0	0		100%
hopwise/trainer/trainer.py	HFPathLanguageModelingTrainer.prepare_hf_args		5	0	0		100%
hopwise/trainer/trainer.py	HFPathLanguageModelingTrainer.init_hf_trainer		6	0	0		100%
hopwise/trainer/trainer.py	HFPathLanguageModelingTrainer.processing_class		3	3	0		0%
hopwise/trainer/trainer.py	HFPathLanguageModelingTrainer._save_checkpoint		9	9	0		0%
hopwise/trainer/trainer.py	HFPathLanguageModelingTrainer.resume_checkpoint		18	18	0		0%
hopwise/trainer/trainer.py	HFPathLanguageModelingTrainer.fit		6	0	0		100%
hopwise/trainer/trainer.py	HFPathLanguageModelingTrainer._full_sort_batch_eval		1	0	0		100%
hopwise/trainer/trainer.py	HFPathLanguageModelingTrainer.evaluate		8	1	0		88%
hopwise/trainer/trainer.py	KGGLMTrainer._get_pretrained_model_path		2	0	0		100%
hopwise/trainer/trainer.py	KGGLMTrainer.pretrain		9	0	0		100%
hopwise/trainer/trainer.py	KGGLMTrainer.pretrain.PretrainSaveCallback.__init__		1	0	0		100%
hopwise/trainer/trainer.py	KGGLMTrainer.pretrain.PretrainSaveCallback.on_epoch_end		4	0	0		100%
hopwise/trainer/trainer.py	KGGLMTrainer.evaluate		3	0	0		100%
hopwise/trainer/trainer.py	KGGLMTrainer.fit		5	1	0		80%
hopwise/trainer/trainer.py	(no function)		143	9	0		94%
hopwise/utils/__init__.py	(no function)		6	0	0		100%
hopwise/utils/argument_list.py	(no function)		4	0	0		100%
hopwise/utils/case_study.py	full_sort_scores		26	26	0		0%
hopwise/utils/case_study.py	full_sort_explanations		12	12	0		0%
hopwise/utils/case_study.py	full_sort_topk		2	2	0		0%
hopwise/utils/case_study.py	(no function)		9	9	0		0%
hopwise/utils/enum_type.py	KnowledgeEvaluationType.__str__		2	0	0		100%
hopwise/utils/enum_type.py	PathLanguageModelingTokenType.__init__		2	0	0		100%
hopwise/utils/enum_type.py	PathLanguageModelingTokenType.__str__		1	1	0		0%
hopwise/utils/enum_type.py	PathSamplingStrategy.__str__		1	1	0		0%
hopwise/utils/enum_type.py	(no function)		52	0	0		100%
hopwise/utils/logger.py	ProgressBar.__init__		2	0	0		100%
hopwise/utils/logger.py	ProgressBar.__call__		1	0	0		100%
hopwise/utils/logger.py	progress_bar		3	1	0		67%
hopwise/utils/logger.py	RemoveColorFilter.filter		4	4	0		0%
hopwise/utils/logger.py	set_color		14	3	0		79%
hopwise/utils/logger.py	init_logger		38	7	0		82%
hopwise/utils/logger.py	(no function)		20	0	0		100%
hopwise/utils/url.py	decide_download		5	5	0		0%
hopwise/utils/url.py	makedirs		5	5	0		0%
hopwise/utils/url.py	download_url		23	23	3		0%
hopwise/utils/url.py	extract_zip		4	4	0		0%
hopwise/utils/url.py	rename_atomic_files		9	9	0		0%
hopwise/utils/url.py	(no function)		15	1	0		93%
hopwise/utils/utils.py	get_local_time		3	0	0		100%
hopwise/utils/utils.py	ensure_dir		1	0	0		100%
hopwise/utils/utils.py	deep_dict_update		6	0	0		100%
hopwise/utils/utils.py	get_model		12	1	0		92%
hopwise/utils/utils.py	get_trainer		16	1	0		94%
hopwise/utils/utils.py	early_stopping		18	8	0		56%
hopwise/utils/utils.py	calculate_valid_score		3	1	0		67%
hopwise/utils/utils.py	dict2str		1	0	0		100%
hopwise/utils/utils.py	init_seed		10	0	0		100%
hopwise/utils/utils.py	get_tensorboard		11	1	0		91%
hopwise/utils/utils.py	get_gpu_usage		3	3	0		0%
hopwise/utils/utils.py	get_flops		39	3	0		92%
hopwise/utils/utils.py	get_flops.count_normalization		3	3	0		0%
hopwise/utils/utils.py	get_flops.count_embedding		4	0	0		100%
hopwise/utils/utils.py	get_flops.TracingAdapter.__init__		2	0	0		100%
hopwise/utils/utils.py	get_flops.TracingAdapter.forward		1	0	0		100%
hopwise/utils/utils.py	get_flops.add_hooks		21	5	0		76%
hopwise/utils/utils.py	get_flops.dfs_count		11	0	0		100%
hopwise/utils/utils.py	list_to_latex		18	18	0		0%
hopwise/utils/utils.py	list_to_latex.bold_func		3	3	0		0%
hopwise/utils/utils.py	get_environment		12	0	0		100%
hopwise/utils/utils.py	get_sequence_postprocessor		5	2	0		60%
hopwise/utils/utils.py	get_logits_processor		4	0	0		100%
hopwise/utils/utils.py	GenerationOutputs.__post_init__		1	0	0		100%
hopwise/utils/utils.py	(no function)		34	0	0		100%
hopwise/utils/wandblogger.py	WandbLogger.__init__		3	0	0		100%
hopwise/utils/wandblogger.py	WandbLogger.setup		9	8	0		11%
hopwise/utils/wandblogger.py	WandbLogger.log_metrics		5	4	0		20%
hopwise/utils/wandblogger.py	WandbLogger.log_eval_metrics		4	3	0		25%
hopwise/utils/wandblogger.py	WandbLogger._set_steps		2	2	0		0%
hopwise/utils/wandblogger.py	WandbLogger._add_head_to_metrics		6	6	0		0%
hopwise/utils/wandblogger.py	(no function)		7	0	0		100%
Total			24978	5535	4		78%

No items found using the specified filter.