def sample_pattern_datasource_with_cache(data_filenames):
metadata = {
'cache': [{
'argkey': 'urlpath',
'regex': make_path_posix(os.path.dirname(__file__)),
'type': 'file'
}]
}
return csv.CSVSource(data_filenames['sample_pattern'], metadata=metadata)
def test_open(data_filenames):
d = csv.CSVSource(data_filenames['sample1'])
assert d.container == 'dataframe'
assert d.description is None
verify_datasource_interface(d)
def sample_list_datasource_with_path_as_pattern_str(data_filenames):
return csv.CSVSource(
[data_filenames['sample2_1'], data_filenames['sample2_2']],
path_as_pattern='sample{num:d}_{dup:d}.csv')
def sample_list_datasource(data_filenames):
return csv.CSVSource(
[data_filenames['sample2_1'], data_filenames['sample2_2']])
def sample_pattern_datasource(data_filenames):
return csv.CSVSource(data_filenames['sample_pattern'])
def sample2_datasource(data_filenames):
return csv.CSVSource(data_filenames['sample2_all'])