def test(self):
beastling_format = load_data(data_path("basic.csv"))
cldf_format = load_data(data_path("cldf.csv"))
explicit_cldf_format = load_data(data_path("cldf.csv"),
file_format='cldf')
tabbed_cldf_format = load_data(data_path("cldf.tsv"))
tabbed_explicit_cldf_format = load_data(data_path("cldf.tsv"),
file_format='cldf')
assert set(list(beastling_format.keys())) == set(
list(cldf_format.keys()))
assert set(list(beastling_format.keys())) == set(
list(explicit_cldf_format.keys()))
assert set(list(beastling_format.keys())) == set(
list(tabbed_cldf_format.keys()))
assert set(list(beastling_format.keys())) == set(
list(tabbed_explicit_cldf_format.keys()))
for key in beastling_format:
self.assertEqual(set(beastling_format[key].items()),
set(cldf_format[key].items()))
self.assertEqual(set(beastling_format[key].items()),
set(explicit_cldf_format[key].items()))
self.assertEqual(set(beastling_format[key].items()),
set(tabbed_cldf_format[key].items()))
self.assertEqual(set(beastling_format[key].items()),
set(tabbed_explicit_cldf_format[key].items()))
def test_load_data_2(data_dir, fname, kw):
beastling_format, x = load_data(data_dir / "basic.csv")
format, _ = load_data(data_dir / fname, **kw)
assert set(list(beastling_format.keys())) == set(list(format.keys()))
for key in beastling_format:
assert set(beastling_format[key].items()), set(format[key].items())
def test(self):
beastling_format = load_data(data_path("basic.csv"))
cldf_format = load_data(data_path("cldf.csv"))
assert set(list(beastling_format.keys())) == set(list(cldf_format.keys()))
for key in beastling_format:
beastling_format[key].pop("iso")
self.assertEqual(
set(beastling_format[key].items()), set(cldf_format[key].items()))
def test_load_cldf_data_from_stdin(mocker, data_dir):
filename = data_dir / 'cldf.csv'
mocker.patch(
'beastling.fileio.datareaders.sys.stdin',
StringIO(
filename.read_text(encoding='utf8').replace('Feature_ID', 'x')))
with pytest.raises(ValueError):
load_data('stdin')
def test_load_data(self):
for p in data_path().iterdir():
if p.suffix == '.csv':
if p.stem in ['duplicated_iso', 'no_iso', 'nonstandard_lang_col']:
self.assertRaises(ValueError, load_data, p)
else:
data = load_data(p)
self.assertNotEqual(len(data), 0)
def test_load_data(data_dir):
for p in data_dir.iterdir():
if p.suffix == '.csv':
if p.stem in ['duplicated_iso', 'no_iso', 'nonstandard_lang_col']:
with pytest.raises(ValueError):
load_data(p)
elif p.stem in ['forms', 'cognatesets']:
# Metadata-free CLDF Wordlist has no default value column
continue
else:
if p.stem == "cldf_value_col":
data, x = load_data(p,
file_format='cldf-legacy',
value_column="Cognate_Set")
else:
data, x = load_data(p)
assert len(data) != 0
def test_load_data(self):
for p in data_path().iterdir():
if p.suffix == '.csv':
if p.stem in [
'duplicated_iso', 'no_iso', 'nonstandard_lang_col'
]:
self.assertRaises(ValueError, load_data, p)
elif p.stem in ['forms', 'cognatesets']:
# Metadata-free CLDF Wordlist has no default value column
continue
else:
if p.stem == "cldf_value_col":
data = load_data(p,
file_format='cldf-legacy',
value_column="Cognate_Set")
else:
data = load_data(p)
self.assertNotEqual(len(data), 0)
def test_load_data(self):
for p in data_path().iterdir():
if p.suffix == '.csv':
if p.stem in [
'duplicated_iso', 'no_iso', 'nonstandard_lang_col'
]:
self.assertRaises(ValueError, load_data, p)
else:
data = load_data(p)
self.assertNotEqual(len(data), 0)
def test(self):
beastling_format = load_data(data_path("basic.csv"))
cldf_format = load_data(data_path("cldf.csv"))
explicit_cldf_format = load_data(data_path("cldf.csv"),
file_format='cldf-legacy')
nonstandard_value_cldf_format = load_data(
data_path("cldf_value_col.csv"),
file_format='cldf-legacy',
value_column="Cognate_Set")
tabbed_cldf_format = load_data(data_path("cldf.tsv"))
tabbed_explicit_cldf_format = load_data(data_path("cldf.tsv"),
file_format='cldf-legacy')
assert set(list(beastling_format.keys())) == set(
list(cldf_format.keys()))
assert set(list(beastling_format.keys())) == set(
list(explicit_cldf_format.keys()))
assert set(list(beastling_format.keys())) == set(
list(nonstandard_value_cldf_format.keys()))
assert set(list(beastling_format.keys())) == set(
list(tabbed_cldf_format.keys()))
assert set(list(beastling_format.keys())) == set(
list(tabbed_explicit_cldf_format.keys()))
for key in beastling_format:
self.assertEqual(set(beastling_format[key].items()),
set(cldf_format[key].items()))
self.assertEqual(set(beastling_format[key].items()),
set(explicit_cldf_format[key].items()))
self.assertEqual(set(beastling_format[key].items()),
set(nonstandard_value_cldf_format[key].items()))
self.assertEqual(set(beastling_format[key].items()),
set(tabbed_cldf_format[key].items()))
self.assertEqual(set(beastling_format[key].items()),
set(tabbed_explicit_cldf_format[key].items()))
def test_load_data_from_stdin(mocker, data_dir):
filename = data_dir / 'basic.csv'
mocker.patch('beastling.fileio.datareaders.sys.stdin',
StringIO(filename.read_text(encoding='utf8')))
assert load_data('stdin') == load_data(filename)