def __init__(self, sequence, mass=None, missed_cleavages=0, length=None, unordered=False):
if mass is None:
if isinstance(sequence, basestring):
mass = sequence_to_mass(str(sequence)) - precursor_mass_shift
length = len(sequence_tokenizer(sequence)[0])
else:
mass = sum(map(masser, sequence))
length = len(sequence)
self.sequence = sequence
self.mass = mass
self.missed_cleavages = missed_cleavages
self.length = length
self.unordered = unordered
def clean_tokenizer(seq):
tokens, mods, glycan, n_term, c_term = sequence.sequence_tokenizer(seq)
return tokens