def test_interlock(self):
dataset = self._get_dataset()
data = dataset._data
name, lab = 'q4AgeGen', 'q4 Age Gender'
variables = [
'q4', {
'age': [(1, '18-35', {
'age': frange('18-35')
}), (2, '30-49', {
'age': frange('30-49')
}), (3, '50+', {
'age': is_ge(50)
})]
}, 'gender'
]
dataset.interlock(name, lab, variables)
val = [1367, 1109, 1036, 831, 736, 579, 571, 550, 454, 438, 340, 244]
ind = [
'10;', '8;', '9;', '7;', '3;', '8;10;', '1;', '4;', '2;', '7;9;',
'1;3;', '2;4;'
]
s = pd.Series(val, index=ind, name='q4AgeGen')
self.assertTrue(all(s == data['q4AgeGen'].value_counts()))
values = [(1, u'Yes/18-35/Male'), (2, u'Yes/18-35/Female'),
(3, u'Yes/30-49/Male'), (4, u'Yes/30-49/Female'),
(5, u'Yes/50+/Male'), (6, u'Yes/50+/Female'),
(7, u'No/18-35/Male'), (8, u'No/18-35/Female'),
(9, u'No/30-49/Male'), (10, u'No/30-49/Female'),
(11, u'No/50+/Male'), (12, u'No/50+/Female')]
text = 'q4 Age Gender'
self.assertEqual(values, dataset.values('q4AgeGen'))
self.assertEqual(text, dataset.text('q4AgeGen'))
self.assertTrue(dataset.is_delimited_set('q4AgeGen'))
def test_get_logic_key(self):
logic = has_all([1, 2, 3], True)
self.assertEqual(
get_logic_key(logic),
'x[e(1&2&3)]:y'
)
logic = has_count([is_ge(1), [5, 6, 7, 8, 9]])
self.assertEqual(
get_logic_key(logic),
'x[(5,6,7,8,9){>=1}]:y'
)
logic = not_count([is_ge(1), [5, 6, 7, 8, 9]])
self.assertEqual(
get_logic_key(logic),
'x[(5,6,7,8,9)~{>=1}]:y'
)
logic = union([
has_any([1, 2]),
has_all([3, 4]),
not_any([5, 6])
])
self.assertEqual(
get_logic_key(logic),
'x[((1,2),(3&4),~(5,6))]:y'
)
logic = union([
intersection([
has_any([1, 2]),
not_any([3])
]),
{'Wave': has_any([1,2])}
])
self.assertEqual(
get_logic_key(logic, self.example_data_A_data),
'x[(((1,2)&~(3)),Wave=(1,2))]:y'
)
def test_get_logic_key(self):
logic = has_all([1, 2, 3], True)
self.assertEqual(
get_logic_key(logic),
'x[e{1&2&3}]:y'
)
logic = has_count([is_ge(1), [5, 6, 7, 8, 9]])
self.assertEqual(
get_logic_key(logic),
'x[(5,6,7,8,9){>=1}]:y'
)
logic = not_count([is_ge(1), [5, 6, 7, 8, 9]])
self.assertEqual(
get_logic_key(logic),
'x[(5,6,7,8,9)~{>=1}]:y'
)
logic = union([
has_any([1, 2]),
has_all([3, 4]),
not_any([5, 6])
])
self.assertEqual(
get_logic_key(logic),
'x[({1,2},{3&4},~{5,6})]:y'
)
logic = union([
intersection([
has_any([1, 2]),
not_any([3])
]),
{'Wave': has_any([1,2])}
])
self.assertEqual(
get_logic_key(logic, self.example_data_A_data),
'x[(({1,2}&~{3}),Wave={1,2})]:y'
)
def test_get_logic_key(self):
logic = has_all([1, 2, 3], True)
self.assertEqual(get_logic_key(logic), 'x[e(1&2&3)]:y')
logic = has_count([is_ge(1), [5, 6, 7, 8, 9]])
self.assertEqual(get_logic_key(logic), 'x[(5,6,7,8,9){>=1}]:y')
logic = not_count([is_ge(1), [5, 6, 7, 8, 9]])
self.assertEqual(get_logic_key(logic), 'x[(5,6,7,8,9)~{>=1}]:y')
logic = union([has_any([1, 2]), has_all([3, 4]), not_any([5, 6])])
self.assertEqual(get_logic_key(logic), 'x[((1,2),(3&4),~(5,6))]:y')
logic = union([
intersection([has_any([1, 2]), not_any([3])]), {
'Wave': has_any([1, 2])
}
])
self.assertEqual(get_logic_key(logic, self.example_data_A_data),
'x[(((1,2)&~(3)),Wave=(1,2))]:y')
def test_simple_or(self):
# Test single x stored as int64 and float64
for xk in ['Wave', 'ethnicity']:
# Initial setup
values = [1, 2, 3]
yks = ['@', 'ethnicity', 'q2', 'gender']
# Set up basic stack
self.setup_stack_Example_Data_A()
# Test net created using an OR list with 'codes'
method_name = 'codes_list'
self.net_views.add_method(
name=method_name,
kwargs={'text': 'Ever', 'logic': values, 'axis': 'x'}
)
self.stack.add_link(x=xk, views=self.net_views.subset([method_name]))
relation = 'x[{1,2,3}]:'
self.verify_net_values_single_x(self.stack, xk, yks, values, relation, method_name)
# Test net created using an OR list with 'logic'
method_name = 'logic_list'
self.net_views.add_method(
name=method_name,
kwargs={'text': 'Ever', 'logic': values, 'axis': 'x'}
)
self.stack.add_link(x=xk, views=self.net_views.subset([method_name]))
relation = 'x[{1,2,3}]:'
self.verify_net_values_single_x(self.stack, xk, yks, values, relation, method_name)
# Test net created using has_any() logic
method_name = 'has_any'
self.net_views.add_method(
name=method_name,
kwargs={'text': 'Ever', 'logic': has_any([1,2,3]), 'axis': 'x'}
)
self.stack.add_link(x=xk, views=self.net_views.subset([method_name]))
relation = 'x[{1,2,3}]:'
self.verify_net_values_single_x(self.stack, xk, yks, values, relation, method_name)
# Test net created using has_count() logic
method_name = 'has_count'
self.net_views.add_method(
name=method_name,
kwargs={'text': 'Ever',
'logic': has_count([is_ge(1), [1,2,3]]), 'axis': 'x'}
)
self.stack.add_link(x=xk, views=self.net_views.subset([method_name]))
relation = 'x[(1,2,3){>=1}]:'
self.verify_net_values_single_x(self.stack, xk, yks, values, relation, method_name)
def test_simple_or(self):
# Test single x stored as int64 and float64
for xk in ['Wave', 'ethnicity']:
# Initial setup
values = [1, 2, 3]
yks = ['@', 'ethnicity', 'q2', 'gender']
# Set up basic stack
self.setup_stack_Example_Data_A()
# Test net created using an OR list with 'codes'
method_name = 'codes_list'
self.net_views.add_method(
name=method_name,
kwargs={'text': 'Ever', 'logic': values}
)
self.stack.add_link(x=xk, views=self.net_views.subset([method_name]))
relation = 'x[(1,2,3)]:y'
self.verify_net_values_single_x(self.stack, xk, yks, values, relation, method_name)
# Test net created using an OR list with 'logic'
method_name = 'logic_list'
self.net_views.add_method(
name=method_name,
kwargs={'text': 'Ever', 'logic': values}
)
self.stack.add_link(x=xk, views=self.net_views.subset([method_name]))
relation = 'x[(1,2,3)]:y'
self.verify_net_values_single_x(self.stack, xk, yks, values, relation, method_name)
# Test net created using has_any() logic
method_name = 'has_any'
self.net_views.add_method(
name=method_name,
kwargs={'text': 'Ever', 'logic': has_any([1,2,3])}
)
self.stack.add_link(x=xk, views=self.net_views.subset([method_name]))
relation = 'x[(1,2,3)]:y'
self.verify_net_values_single_x(self.stack, xk, yks, values, relation, method_name)
# Test net created using has_count() logic
method_name = 'has_count'
self.net_views.add_method(
name=method_name,
kwargs={'text': 'Ever', 'logic': has_count([is_ge(1), [1,2,3]])}
)
self.stack.add_link(x=xk, views=self.net_views.subset([method_name]))
relation = 'x[(1,2,3){>=1}]:y'
self.verify_net_values_single_x(self.stack, xk, yks, values, relation, method_name)
def test_add_open_ends(self):
batch, ds = _get_batch('test')
self.assertRaises(ValueError, batch.add_open_ends, ['q8a', 'q9a'],
None, True, False, True, 'open ends', None)
batch.add_filter('men only', {'gender': 1})
batch.add_open_ends(['q8a', 'q9a'],
'RecordNo',
filter_by={'age': is_ge(49)})
b_meta = _get_meta(batch)
self.assertEqual(b_meta['verbatims']['open ends'].shape, (40, 3))
self.assertEqual(b_meta['verbatim_names'], ['q8a', 'q9a'])
batch.add_open_ends(['q8a', 'q9a'],
'RecordNo',
split=True,
title=['open ends', 'open ends2'])
self.assertEqual(b_meta['verbatims'].keys(),
['open ends', 'open ends2'])
def test_add_open_ends(self):
batch, ds = _get_batch('test')
self.assertRaises(ValueError, batch.add_open_ends, ['q8a', 'q9a'],
None, True, False, True, 'open ends', None)
batch.add_filter('men_only', {'gender': 1})
batch.add_open_ends(['q8a', 'q9a'],
'RecordNo',
filter_by={'age': is_ge(49)})
verbatims = _get_meta(batch)['verbatims'][0]
self.assertEqual(verbatims['filter'], 'men_only_open_ends_f')
self.assertEqual(verbatims['columns'], ['q8a', 'q9a'])
self.assertEqual(verbatims['break_by'], ['RecordNo'])
self.assertEqual(verbatims['title'], 'open ends')
batch.add_open_ends(['q8a', 'q9a'],
'RecordNo',
split=True,
title=['open ends', 'open ends2'],
overwrite=True)
verbatims = _get_meta(batch)['verbatims']
self.assertEqual(len(verbatims), 2)
def test_is_ge(self):
test_value = 5
func, value = is_ge(test_value)
self.assertEqual(func, _is_ge)
self.assertEqual(value, test_value)
def test_is_ge(self):
test_value = 5
func, value = is_ge(test_value)
self.assertEqual(func, _is_ge)
self.assertEqual(value, test_value)
