def __init__(self, datapath=None):
super(_Data, self).__init__()
# default to the files in this directory
if datapath is None:
datapath = os.path.split(__file__)[0]
d = {}
self.__dict__ = d
# find all data files in `datapath`
data_files = [f for f in os.listdir(datapath) if f.endswith('.dat')]
for data_file in data_files:
full_path = os.path.join(datapath, data_file)
# pick the correct io reader
if data_file.endswith('normalized_spot.dat'):
data = read_normalized_file(full_path)
elif data_file.endswith('QandPhiandI.dat'):
data = read_spot_summary_file(full_path)
self.__dict__[os.path.splitext(data_file)[0]] = data
def test_normalized_spot_io():
path = os.path.join(os.path.split(io.__file__)[0], 'data',
'spots90FQ2_normalized_spot.txt')
spots = io.read_normalized_file(path)
assert len(spots) > 0