def test_corpus_csv(graph_db, csv_test_dir):
example_path = os.path.join(csv_test_dir, 'example.txt')
with CorpusContext('basic_csv', **graph_db) as c:
c.reset()
parser = inspect_csv(example_path)
parser.column_delimiter = '\t'
with pytest.raises(DelimiterError):
c.load(parser, example_path)
with CorpusContext('basic_csv', **graph_db) as c:
parser = inspect_csv(example_path)
parser.annotation_types[1].name = 'word'
c.load(parser, example_path)
assert (c.lexicon['mata'].frequency == 2)
assert (c.lexicon['mata'].transcription == 'm.ɑ.t.ɑ')
def test_corpus_csv(graph_db, csv_test_dir):
example_path = os.path.join(csv_test_dir, 'example.txt')
with CorpusContext('basic_csv', **graph_db) as c:
c.reset()
parser = inspect_csv(example_path)
parser.column_delimiter = '\t'
with pytest.raises(DelimiterError):
c.load(parser, example_path)
with CorpusContext('basic_csv', **graph_db) as c:
parser = inspect_csv(example_path)
parser.annotation_types[1].name = 'word'
c.load(parser, example_path)
assert(c.lexicon['mata'].frequency == 2)
assert(c.lexicon['mata'].transcription == 'm.ɑ.t.ɑ')
def test_stressed(graph_db, csv_test_dir):
stressed_path = os.path.join(csv_test_dir, 'stressed.txt')
with CorpusContext('stressed_csv', **graph_db) as c:
c.reset()
parser = inspect_csv(stressed_path)
parser.annotation_types[0].name = 'word'
parser.annotation_types[1].number_behavior = 'stress'
c.load(parser, stressed_path)
def test_stressed(graph_db, csv_test_dir):
stressed_path = os.path.join(csv_test_dir, 'stressed.txt')
with CorpusContext('stressed_csv', **graph_db) as c:
c.reset()
parser = inspect_csv(stressed_path)
parser.annotation_types[0].name = 'word'
parser.annotation_types[1].number_behavior = 'stress'
c.load(parser, stressed_path)
def test_corpus_csv_tiered(graph_db, csv_test_dir):
example_path = os.path.join(csv_test_dir, 'tiered.txt')
with CorpusContext('tiered_csv', **graph_db) as c:
c.reset()
parser = inspect_csv(example_path)
parser.annotation_types[0].name = 'word'
c.load(parser, example_path)
assert(c.lexicon['tusi'].frequency == 13)
assert(c.lexicon['tusi'].transcription == 't.u.s.i')
def test_inspect_example(csv_test_dir):
example_path = os.path.join(csv_test_dir, 'example.txt')
parser = inspect_csv(example_path)
assert(parser.column_delimiter == ',')
for a in parser.annotation_types:
if a.name == 'frequency':
assert(isinstance(a, NumericAnnotationType))
elif a.name == 'transcription':
assert(isinstance(a, TranscriptionAnnotationType))
assert(a.trans_delimiter == '.')
elif a.name == 'spelling':
assert(isinstance(a, OrthographyAnnotationType))
def test_inspect_example(csv_test_dir):
example_path = os.path.join(csv_test_dir, 'example.txt')
parser = inspect_csv(example_path)
assert (parser.column_delimiter == ',')
for a in parser.annotation_types:
if a.name == 'frequency':
assert (isinstance(a, NumericAnnotationType))
elif a.name == 'transcription':
assert (isinstance(a, TranscriptionAnnotationType))
assert (a.trans_delimiter == '.')
elif a.name == 'spelling':
assert (isinstance(a, OrthographyAnnotationType))
def test_corpus_csv_tiered(graph_db, csv_test_dir):
example_path = os.path.join(csv_test_dir, 'tiered.txt')
with CorpusContext('tiered_csv', **graph_db) as c:
c.reset()
parser = inspect_csv(example_path)
parser.annotation_types[0].name = 'word'
c.load(parser, example_path)
assert (c.lexicon['tusi'].frequency == 13)
assert (c.lexicon['tusi'].transcription == 't.u.s.i')