def findAlignment(wordproblem, equation, solution):
numberVector = extractNumberVectorFromQuestion(wordproblem)
# numberVector = numberVector[:5]
alignments = createAllAlignments(numberVector)
correctAlignment = []
x0 = Symbol("x0")
test = []
# x1 = Symbol('x1')
try:
i = 0
for alignment in alignments:
result = solveEquations(equation, getNumberslots(equation), alignment)
test = alignment
if len(result) != 0:
if len(equation) == 1:
if solution[0] == result[x0]:
correctAlignment = alignment
elif len(equation) == 2:
if solution[0] == result[x0]: # and solution[1] == result[x1]:
correctAlignment = alignment
except Exception as e:
print "error: ", e
print wordproblem
print equation
print test
return (correctAlignment, numberVector)
def testAlignments(test_data, classifiers):
x0 = Symbol('x0')
featuresets = []
correctlyAlignedIndicesList = []
for (i, iIndex, wordproblem, equationTemplate, solution) in test_data:
try:
classifier = classifiers[str(equationTemplate)]
except KeyError:
continue
alignmentFeatures, correctlyAlignedIndices = extractAlignmentFeatures(wordproblem, equationTemplate, solution, i)
featuresets.append(alignmentFeatures)
alignedString = ''
for c in correctlyAlignedIndices:
alignedString += str(c)
correctlyAlignedIndicesList.append(alignedString)
prediction = classifier.predict(featuresets)
predictedAlignedIndices = []
correct = 0
for each in prediction:
item = []
for char in each:
item.append(int(char))
predictedAlignedIndices.append(item)
#print 'sdsdsdsdsdsdsd'
#print predictedAlignedIndices
predictedAlignedValues = []
for x in range(0, len(test_data)):
try:
i, iIndex,wordproblem, equationTemplate, solution = test_data[x]
numberVector = extractNumberVectorFromQuestion(wordproblem)
correctAlignValues = []
for each in predictedAlignedIndices[x]:
correctAlignValues.append(numberVector[each])
predictedAlignedValues.append(correctAlignValues)
#print 'correctalignedvalues'
#print correctAlignValues
result = solveEquations(equationTemplate, getNumberslots(equationTemplate), correctAlignValues)
if solution[0] == result[x0]:
correct += 1
except:
pass
#print 'all values'
#print predictedAlignedValues
for i in range(0,len(prediction)):
print correctlyAlignedIndicesList[i], prediction[i]
if correctlyAlignedIndicesList[i] == prediction[i]:
correct += 1
print 'Correct: ' + str(correct)