def test_save_load_rb_blocker():
#mg.init_jvm()
filename = '__mg_obj__.pkl'
A = mg.load_dataset('table_A')
B = mg.load_dataset('table_B')
feature_table = mg.get_features_for_blocking(A, B)
rb0 = mg.RuleBasedBlocker()
rb0.add_rule(['zipcode_zipcode_exm(ltuple, rtuple) == 1'], feature_table)
rb0.add_rule(['birth_year_birth_year_anm(ltuple, rtuple) > 0.95',
'name_name_mel(ltuple, rtuple)> 0.4'],
feature_table)
C0 = rb0.block_tables(A, B)
mg.save_object(rb0, filename)
rb1 = mg.load_object(filename)
try:
os.remove(filename)
except OSError:
pass
assert_equal(type(rb0), type(rb1))
assert_equal(len(rb0.rules), len(rb1.rules))
assert_equal(len(rb0.rule_source), len(rb1.rule_source))
assert_equal(rb0.rule_cnt, rb1.rule_cnt)
C1 = rb1.block_tables(A, B)
assert_equal(len(C0), len(C1))
assert_equal(sorted(C0.columns), sorted(C0.columns))
def test_save_load_bb_blocker():
#mg.init_jvm('/Library/Java/JavaVirtualMachines/jdk1.8.0_45.jdk/Contents/Home/jre/lib/server/libjvm.dylib')
from magellan.feature.simfunctions import jaccard
from magellan.feature.tokenizers import tok_qgram
def block_fn_1(ltuple, rtuple):
val = jaccard(tok_qgram(ltuple['address'], 3), tok_qgram(rtuple['address'], 3))
if val < 0.4:
return True
else:
return False
bb0 = mg.BlackBoxBlocker()
bb0.set_black_box_function(block_fn_1)
filename = '__mg_obj__.pkl'
A = mg.load_dataset('table_A')
B = mg.load_dataset('table_B')
C0 = bb0.block_tables(A, B)
mg.save_object(bb0, filename)
bb1 = mg.load_object(filename)
try:
os.remove(filename)
except OSError:
pass
assert_equal(type(bb0), type(bb1))
C1 = bb1.block_tables(A, B)
assert_equal(len(C0), len(C1))
assert_equal(sorted(C0.columns), sorted(C0.columns))
def test_save_load_feature_table():
#mg.init_jvm()
filename = '__mg_obj__.pkl'
A = mg.load_dataset('table_A')
B = mg.load_dataset('table_B')
feature_table0 = mg.get_features_for_blocking(A, B)
mg.save_object(feature_table0, filename)
feature_table1 = mg.load_object(filename)
try:
os.remove(filename)
except OSError:
pass
assert_equal(type(feature_table0), type(feature_table1))
assert_equal(len(feature_table0), len(feature_table1))
assert sorted(feature_table0.columns) == sorted(feature_table1.columns)
ft0_functions = list(feature_table0['function'])
ft1_functions = list(feature_table1['function'])
for f0, f1 in zip(ft0_functions, ft1_functions):
a = f0(A.ix[1], B.ix[2])
b = f1(A.ix[1], B.ix[2])
if math.isnan(a) == False and math.isnan(b) == False:
assert_equal(a, b)
if math.isnan(a) == True:
assert_equal(math.isnan(b), True)
def test_save_load_bb_blocker():
#mg.init_jvm('/Library/Java/JavaVirtualMachines/jdk1.8.0_45.jdk/Contents/Home/jre/lib/server/libjvm.dylib')
from magellan.feature.simfunctions import jaccard
from magellan.feature.tokenizers import tok_qgram
def block_fn_1(ltuple, rtuple):
val = jaccard(tok_qgram(ltuple['address'], 3),
tok_qgram(rtuple['address'], 3))
if val < 0.4:
return True
else:
return False
bb0 = mg.BlackBoxBlocker()
bb0.set_black_box_function(block_fn_1)
filename = '__mg_obj__.pkl'
A = mg.load_dataset('table_A')
B = mg.load_dataset('table_B')
C0 = bb0.block_tables(A, B)
mg.save_object(bb0, filename)
bb1 = mg.load_object(filename)
try:
os.remove(filename)
except OSError:
pass
assert_equal(type(bb0), type(bb1))
C1 = bb1.block_tables(A, B)
assert_equal(len(C0), len(C1))
assert_equal(sorted(C0.columns), sorted(C0.columns))
def test_save_load_rb_blocker():
#mg.init_jvm()
filename = '__mg_obj__.pkl'
A = mg.load_dataset('table_A')
B = mg.load_dataset('table_B')
feature_table = mg.get_features_for_blocking(A, B)
rb0 = mg.RuleBasedBlocker()
rb0.add_rule(['zipcode_zipcode_exm(ltuple, rtuple) == 1'], feature_table)
rb0.add_rule([
'birth_year_birth_year_anm(ltuple, rtuple) > 0.95',
'name_name_mel(ltuple, rtuple)> 0.4'
], feature_table)
C0 = rb0.block_tables(A, B)
mg.save_object(rb0, filename)
rb1 = mg.load_object(filename)
try:
os.remove(filename)
except OSError:
pass
assert_equal(type(rb0), type(rb1))
assert_equal(len(rb0.rules), len(rb1.rules))
assert_equal(len(rb0.rule_source), len(rb1.rule_source))
assert_equal(rb0.rule_cnt, rb1.rule_cnt)
C1 = rb1.block_tables(A, B)
assert_equal(len(C0), len(C1))
assert_equal(sorted(C0.columns), sorted(C0.columns))
def test_save_load_feature_table():
#mg.init_jvm()
filename = '__mg_obj__.pkl'
A = mg.load_dataset('table_A')
B = mg.load_dataset('table_B')
feature_table0 = mg.get_features_for_blocking(A, B)
mg.save_object(feature_table0, filename)
feature_table1 = mg.load_object(filename)
try:
os.remove(filename)
except OSError:
pass
assert_equal(type(feature_table0), type(feature_table1))
assert_equal(len(feature_table0), len(feature_table1))
assert sorted(feature_table0.columns) == sorted(feature_table1.columns)
ft0_functions = list(feature_table0['function'])
ft1_functions = list(feature_table1['function'])
for f0, f1 in zip(ft0_functions, ft1_functions):
a = f0(A.ix[1], B.ix[2])
b = f1(A.ix[1], B.ix[2])
if math.isnan(a) == False and math.isnan(b) == False:
assert_equal(a, b)
if math.isnan(a) == True:
assert_equal(math.isnan(b), True)
def test_save_load_ab_blocker():
filename = '__mg_obj__.pkl'
ab0 = mg.AttrEquivalenceBlocker()
mg.save_object(ab0, filename)
ab1 = mg.load_object(filename)
try:
os.remove(filename)
except OSError:
pass
assert_equal(type(ab0), type(ab1))
def test_save_load_ab_blocker():
filename = '__mg_obj__.pkl'
ab0 = mg.AttrEquivalenceBlocker()
mg.save_object(ab0, filename)
ab1 = mg.load_object(filename)
try:
os.remove(filename)
except OSError:
pass
assert_equal(type(ab0), type(ab1))