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# Python program for Finite State Automaton
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# Pattern searching Algorithm
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NO_OF_CHARS = 256
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def getNextState(pat, M, state, x):
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'''
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calculate the next state
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'''
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# If the character c is same as next character
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# in pattern, then simply increment state
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if state < M and x == ord(pat[state]):
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return state+1
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i=0
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# ns stores the result which is next state
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# ns finally contains the longest prefix
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# which is also suffix in "pat[0..state-1]c"
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# Start from the largest possible value and
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# stop when you find a prefix which is also suffix
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for ns in range(state,0,-1):
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if ord(pat[ns-1]) == x:
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while(i<ns-1):
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if pat[i] != pat[state-ns+1+i]:
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break
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i+=1
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if i == ns-1:
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return ns
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return 0
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def computeTF(pat, M):
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'''
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This function builds the TF table which
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represents Finite Automaton for a given pattern
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'''
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global NO_OF_CHARS
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TF = [[0 for i in range(NO_OF_CHARS)]\
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for _ in range(M+1)]
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for state in range(M+1):
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for x in range(NO_OF_CHARS):
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z = getNextState(pat, M, state, x)
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TF[state][x] = z
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return TF
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def search(pat, txt):
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'''
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Prints all occurrences of pat in txt
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'''
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global NO_OF_CHARS
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M = len(pat)
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N = len(txt)
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TF = computeTF(pat, M)
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# Process txt over FA.
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state=0
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for i in range(N):
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state = TF[state][ord(txt[i])]
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if state == M:
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print("Pattern found at index: {}".\
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format(i-M+1))
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# Driver program to test above function
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if __name__ == '__main__':
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txt = "AABAACAADAABAAABAA"
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pat = "AABA"
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search(pat,txt)
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