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Implemented generic functions to load and split scores

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@@ -75,21 +75,7 @@ def main(user_input=None):
from .. import load
# Loads score file
f = load.open_file(args['<scores>'])
try:
line = f.readline()
ncolumns = len(line.split())
except Exception:
logger.warn('Could not guess the number of columns in file: {}. '
'Assuming 4 column format.'.format(args['<scores>']))
ncolumns = 4
finally:
f.close()
if ncolumns == 4:
data = load.cmc_four_column(args['<scores>'])
else:
data = load.cmc_five_column(args['<scores>'])
data = load.cmc(args['<scores>'])
# compute recognition rate
from .. import recognition_rate
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