test_match.py File Reference

Namespaces
namespace	test_match

Variables
	test_match.file = Path(__file__).resolve()
	test_match.parent
	test_match.root
str	test_match.dir_path = "../datasets/tables/megallen/amazon-google-structured"
str	test_match.path_tableA = "/".join([dir_path, "table_a.csv"])
str	test_match.path_tableB = "/".join([dir_path, "table_b.csv"])
str	test_match.path_gold = "/".join([dir_path, "gold.csv"])
str	test_match.path_rule = "test/tmp/rules_amazon_google_structured1.txt"
str	test_match.path_range = "test/tmp/ranges_amazon_google_structured.txt"
str	test_match.path_tree = "test/tmp/trees_amazon_google_structured.txt"
str	test_match.path_rf = "test/tmp/rf_amazon_google_structured.joblib"
	test_match.gold_graph = nx.Graph()
	test_match.tableA = read_csv_table(path_tableA)
	test_match.tableB = read_csv_table(path_tableB)
	test_match.gold = read_csv_golds(path_gold, gold_graph)
list	test_match.numeric_attr = ["price", "year"]
	test_match.schemas = list(tableA)[1:]
	test_match.attr_types_ltable = au.get_attr_types(tableA)
	test_match.attr_types_rtable = au.get_attr_types(tableB)
	test_match.random_forest
	test_match.trigraph
	test_match.blocking_attr
	test_match.model_path
	test_match.tree_path
	test_match.range_path
	test_match.num_tree
	test_match.sample_size
	test_match.ground_truth_label
	test_match.True
	test_match.training_strategy
	test_match.inmemory
	test_match.num_data
	test_match.at_ltable
	test_match.at_rtable
	test_match.is_interchangeable
	test_match.flag_consistent