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pygapbide.py
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159 lines (147 loc) · 5.49 KB
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'''
Python implementation of the Gap-Bide algorithm.
Based on
Chun Li,Jianyong Wang.
Efficiently Mining Closed Subsequences with Gap Constraints.
Siam SDM 2008.
Copyright (c) 2017 by Chun Li
Permission is hereby granted, free of charge, to any person
obtaining a copy of this software and associated documentation
files (the "Software"), to deal in the Software without restriction,
including without limitation the rights to use, copy, modify, merge,
publish, distribute, sublicense, and/or sell copies of the Software,
and to permit persons to whom the Software is furnished to do so,
subject to the following conditions:
The above copyright notice and this permission notice shall be
included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS
BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN
ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
'''
class Gapbide:
def __init__(self, sdb, sup, m, n):
'''
sdb: alist of sequences,
sup: the minimum threshold of support,
m,n: the gap [m,n]
'''
self.sdb = sdb
self.sup = sup
self.m = m
self.n = n
self.count_closed = 0
self.count_non_closed = 0
self.count_pruned = 0
def run(self):
l1_patterns = self.gen_l1_patterns()
for pattern, sup, pdb in l1_patterns:
self.span(pattern, sup, pdb)
def output(self, pattern, sup, pdb):
'''
overide this function to output patterns to files.
'''
print(pattern, sup, pdb)
def gen_l1_patterns(self):
'''
generate length-1 patterns
'''
pdb_dict = dict()
for sid in range(len(self.sdb)):
seq = self.sdb[sid]
for pos in range(len(seq)):
if seq[pos] in pdb_dict:
pdb_dict[seq[pos]].append((sid, pos, pos))
else:
pdb_dict[seq[pos]] = [(sid, pos, pos)]
patterns = []
for item, pdb in pdb_dict.items():
sup = len(set([i[0] for i in pdb]))
if sup >= self.sup:
patterns.append(([item], sup, pdb))
return patterns
def span(self, pattern, sup, pdb):
(backward, prune) = self.backward_check(pattern, sup, pdb)
if prune:
self.count_pruned += 1
return
forward = self.forward_check(pattern, sup, pdb)
if not(backward or forward):
self.count_closed += 1
self.output(pattern, sup, pdb)
else:
self.count_non_closed += 1
pdb_dict = dict()
for (sid, begin, end) in pdb:
seq = self.sdb[sid]
new_begin = end + 1 + self.m
new_end = end + 2 + self.n
if new_begin >= len(seq):
continue
if new_end > len(seq):
new_end = len(seq)
for pos in range(new_begin, new_end):
if seq[pos] in pdb_dict:
pdb_dict[seq[pos]].append((sid, begin, pos))
else:
pdb_dict[seq[pos]] = [(sid, begin, pos)]
for item, new_pdb in pdb_dict.items():
sup = len(set([i[0] for i in new_pdb]))
if sup >= self.sup:
# add new pattern
new_pattern = pattern[:]
new_pattern.append(item)
self.span(new_pattern, sup, new_pdb)
def forward_check(self, pattern, sup, pdb):
sids = {}
forward = False
for (sid, begin, end) in pdb:
seq = self.sdb[sid]
new_begin = end + 1 + self.m
new_end = end + 2 + self.n
if new_begin >= len(seq):
continue
if new_end > len(seq):
new_end = len(seq)
for pos in range(new_begin, new_end):
if seq[pos] in sids:
sids[seq[pos]].append(sid)
else:
sids[seq[pos]] = [sid]
for item, sidlist in sids.items():
seq_sup = len(set(sidlist))
if seq_sup == sup:
forward = True
break
return forward
def backward_check(self, pattern, sup, pdb):
sids = {}
backward = False
prune = False
for (sid, begin, end) in pdb:
seq = self.sdb[sid]
new_begin = begin - self.n - 1
new_end = begin - self.m
if new_end < 0:
continue
if new_begin < 0:
new_begin = 0
for pos in range(new_begin, new_end):
if seq[pos] in sids:
sids[seq[pos]].append(sid)
else:
sids[seq[pos]] = [sid]
for item, sidlist in sids.items():
seq_sup = len(set(sidlist))
uni_sup = len(sidlist)
if uni_sup == len(pdb):
prune = True
if seq_sup == sup:
backward = True
if backward and prune:
break
return (backward, prune)