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https://github.com/TheAlgorithms/Python.git
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108 lines
3.3 KiB
Python
108 lines
3.3 KiB
Python
'''
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This is a type of divide and conquer algorithm which divides the search space into
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3 parts and finds the target value based on the property of the array or list
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(usually monotonic property).
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Time Complexity : O(log3 N)
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Space Complexity : O(1)
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'''
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from __future__ import print_function
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import sys
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try:
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raw_input # Python 2
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except NameError:
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raw_input = input # Python 3
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# This is the precision for this function which can be altered.
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# It is recommended for users to keep this number greater than or equal to 10.
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precision = 10
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# This is the linear search that will occur after the search space has become smaller.
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def lin_search(left, right, A, target):
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for i in range(left, right+1):
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if(A[i] == target):
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return i
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# This is the iterative method of the ternary search algorithm.
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def ite_ternary_search(A, target):
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left = 0
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right = len(A) - 1;
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while(True):
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if(left<right):
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if(right-left < precision):
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return lin_search(left,right,A,target)
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oneThird = (left+right)/3+1;
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twoThird = 2*(left+right)/3+1;
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if(A[oneThird] == target):
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return oneThird
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elif(A[twoThird] == target):
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return twoThird
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elif(target < A[oneThird]):
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right = oneThird-1
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elif(A[twoThird] < target):
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left = twoThird+1
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else:
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left = oneThird+1
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right = twoThird-1
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else:
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return None
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# This is the recursive method of the ternary search algorithm.
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def rec_ternary_search(left, right, A, target):
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if(left<right):
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if(right-left < precision):
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return lin_search(left,right,A,target)
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oneThird = (left+right)/3+1;
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twoThird = 2*(left+right)/3+1;
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if(A[oneThird] == target):
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return oneThird
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elif(A[twoThird] == target):
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return twoThird
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elif(target < A[oneThird]):
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return rec_ternary_search(left, oneThird-1, A, target)
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elif(A[twoThird] < target):
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return rec_ternary_search(twoThird+1, right, A, target)
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else:
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return rec_ternary_search(oneThird+1, twoThird-1, A, target)
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else:
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return None
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# This function is to check if the array is sorted.
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def __assert_sorted(collection):
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if collection != sorted(collection):
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raise ValueError('Collection must be sorted')
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return True
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if __name__ == '__main__':
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user_input = raw_input('Enter numbers separated by coma:\n').strip()
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collection = [int(item) for item in user_input.split(',')]
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try:
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__assert_sorted(collection)
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except ValueError:
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sys.exit('Sequence must be sorted to apply the ternary search')
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target_input = raw_input('Enter a single number to be found in the list:\n')
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target = int(target_input)
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result1 = ite_ternary_search(collection, target)
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result2 = rec_ternary_search(0, len(collection)-1, collection, target)
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if result2 is not None:
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print('Iterative search: {} found at positions: {}'.format(target, result1))
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print('Recursive search: {} found at positions: {}'.format(target, result2))
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else:
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print('Not found')
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