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aligner.py
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75 lines (69 loc) · 2.69 KB
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from simeval import SimEval
class ObjectAligner:
def __init__(self, simEval=SimEval(), gapPenalty=-1.0, nullObj=None):
self.vect1 = []
self.vect2 = []
self.vect3 = []
self.simEval = simEval
self.gapPenalty = gapPenalty
self.nullObj = nullObj
def align(self, objs1, objs2):
simMatrix = [[0.0] * len(objs2) for i in range(len(objs1))]
matrix = [[0.0] * (len(objs2)+1) for i in range((len(objs1)+1))]
for i in range(len(objs1)):
for j in range(len(objs2)):
simMatrix[i][j]=self.simScore(objs1[i],objs2[j])
matrix[0][0] = 0.0
for i in range(1,len(objs1)+1):
matrix[i][0] = i * self.gapPenalty
for j in range(1,len(objs2)+1):
matrix[0][j] = j * self.gapPenalty
scoreDown = 0.0
scoreRight = 0.0
scoreDiag = 0.0
bestScore = 0.0
for i in range(1, len(objs1)+1):
for j in range(1, len(objs2)+1):
scoreDown = matrix[i-1][j] + self.gapPenalty
scoreRight = matrix[i][j-1] + self.gapPenalty
scoreDiag = matrix[i-1][j-1] + simMatrix[i-1][j-1]
bestScore = max(scoreDown,scoreRight,scoreDiag)
matrix[i][j] = bestScore
i = len(objs1)
j = len(objs2)
nullScore = 0.0
score = 0.0
scoreLeft = 0.0
scoreDiagInv = 0.0
while i > 0 and j > 0:
score = matrix[i][j]
scoreDiagInv = matrix[i-1][j-1]
scoreLeft = matrix[i-1][j]
if score == scoreDiagInv+simMatrix[i-1][j-1]:
self.__makeAlignment(objs1[i-1], objs2[j-1], simMatrix[i-1][j-1])
i = i-1
j = j-1
elif score == scoreLeft+self.gapPenalty:
self.__makeAlignment(objs1[i-1], self.nullObj, nullScore)
i = i-1
else:
self.__makeAlignment(self.nullObj, objs2[j-1], nullScore)
j = j-1
while i > 0:
self.__makeAlignment(objs1[i-1], self.nullObj, nullScore)
i = i-1
while j > 0:
self.__makeAlignment(self.nullObj, objs2[j-1], nullScore)
j = j-1
return self.__makeResult()
def simScore(self, obj1, obj2):
return self.simEval.eval(obj1, obj2)
def __makeAlignment(self, obj1, obj2, score):
self.vect1.append(obj1)
self.vect2.append(obj2)
self.vect3.append(score)
def __makeResult(self):
self.vect1 = list(reversed(self.vect1))
self.vect2 = list(reversed(self.vect2))
self.vect3 = list(reversed(self.vect3))
return (self.vect1, self.vect2, self.vect3)