mirror of
https://github.com/TheAlgorithms/Python.git
synced 2026-03-13 09:50:19 +08:00
Simplify code by dropping support for legacy Python (#1143)
* Simplify code by dropping support for legacy Python * sort() --> sorted()
This commit is contained in:
@@ -9,14 +9,8 @@ python3 -m doctest -v binary_search.py
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For manual testing run:
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python binary_search.py
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"""
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from __future__ import print_function
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import bisect
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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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def binary_search(sorted_collection, item):
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"""Pure implementation of binary search algorithm in Python
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@@ -112,7 +106,7 @@ def binary_search_by_recursion(sorted_collection, item, left, right):
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"""
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if (right < left):
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return None
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midpoint = left + (right - left) // 2
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if sorted_collection[midpoint] == item:
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@@ -121,7 +115,7 @@ def binary_search_by_recursion(sorted_collection, item, left, right):
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return binary_search_by_recursion(sorted_collection, item, left, midpoint-1)
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else:
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return binary_search_by_recursion(sorted_collection, item, midpoint+1, right)
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def __assert_sorted(collection):
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"""Check if collection is ascending sorted, if not - raises :py:class:`ValueError`
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@@ -145,14 +139,14 @@ def __assert_sorted(collection):
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if __name__ == '__main__':
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import sys
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user_input = raw_input('Enter numbers separated by comma:\n').strip()
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user_input = input('Enter numbers separated by comma:\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 ascending sorted to apply binary 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_input = input('Enter a single number to be found in the list:\n')
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target = int(target_input)
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result = binary_search(collection, target)
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if result is not None:
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@@ -1,12 +1,6 @@
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"""
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This is pure python implementation of interpolation search algorithm
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"""
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from __future__ import print_function
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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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def interpolation_search(sorted_collection, item):
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@@ -29,7 +23,7 @@ def interpolation_search(sorted_collection, item):
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return None
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point = left + ((item - sorted_collection[left]) * (right - left)) // (sorted_collection[right] - sorted_collection[left])
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#out of range check
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if point<0 or point>=len(sorted_collection):
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return None
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@@ -42,9 +36,9 @@ def interpolation_search(sorted_collection, item):
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right = left
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left = point
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elif point>right:
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left = right
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left = right
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right = point
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else:
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else:
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if item < current_item:
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right = point - 1
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else:
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@@ -70,7 +64,7 @@ def interpolation_search_by_recursion(sorted_collection, item, left, right):
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return None
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point = left + ((item - sorted_collection[left]) * (right - left)) // (sorted_collection[right] - sorted_collection[left])
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#out of range check
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if point<0 or point>=len(sorted_collection):
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return None
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@@ -86,7 +80,7 @@ def interpolation_search_by_recursion(sorted_collection, item, left, right):
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return interpolation_search_by_recursion(sorted_collection, item, left, point-1)
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else:
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return interpolation_search_by_recursion(sorted_collection, item, point+1, right)
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def __assert_sorted(collection):
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"""Check if collection is ascending sorted, if not - raises :py:class:`ValueError`
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:param collection: collection
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@@ -107,16 +101,16 @@ def __assert_sorted(collection):
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if __name__ == '__main__':
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import sys
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"""
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user_input = raw_input('Enter numbers separated by comma:\n').strip()
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user_input = input('Enter numbers separated by comma:\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 ascending sorted to apply interpolation 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_input = input('Enter a single number to be found in the list:\n')
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target = int(target_input)
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"""
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@@ -128,7 +122,7 @@ if __name__ == '__main__':
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except ValueError:
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sys.exit('Sequence must be ascending sorted to apply interpolation search')
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target = 67
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result = interpolation_search(collection, target)
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if result is not None:
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print('{} found at positions: {}'.format(target, result))
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@@ -1,4 +1,3 @@
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from __future__ import print_function
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import math
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def jump_search(arr, x):
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n = len(arr)
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@@ -9,12 +9,7 @@ python3 -m doctest -v linear_search.py
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For manual testing run:
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python linear_search.py
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"""
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from __future__ import print_function
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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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def linear_search(sequence, target):
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"""Pure implementation of linear search algorithm in Python
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@@ -43,10 +38,10 @@ def linear_search(sequence, target):
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if __name__ == '__main__':
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user_input = raw_input('Enter numbers separated by comma:\n').strip()
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user_input = input('Enter numbers separated by comma:\n').strip()
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sequence = [int(item) for item in user_input.split(',')]
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target_input = raw_input('Enter a single number to be found in the list:\n')
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target_input = input('Enter a single number to be found in the list:\n')
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target = int(target_input)
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result = linear_search(sequence, target)
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if result is not None:
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@@ -45,15 +45,10 @@ def sentinel_linear_search(sequence, target):
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if __name__ == '__main__':
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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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user_input = raw_input('Enter numbers separated by comma:\n').strip()
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user_input = input('Enter numbers separated by comma:\n').strip()
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sequence = [int(item) for item in user_input.split(',')]
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target_input = raw_input('Enter a single number to be found in the list:\n')
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target_input = input('Enter a single number to be found in the list:\n')
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target = int(target_input)
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result = sentinel_linear_search(sequence, target)
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if result is not None:
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@@ -1,20 +1,13 @@
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'''
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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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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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@@ -31,23 +24,23 @@ def ite_ternary_search(A, target):
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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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@@ -57,7 +50,7 @@ def ite_ternary_search(A, target):
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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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@@ -68,12 +61,12 @@ def rec_ternary_search(left, right, A, 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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@@ -87,7 +80,7 @@ def __assert_sorted(collection):
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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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user_input = 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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@@ -95,11 +88,11 @@ if __name__ == '__main__':
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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_input = 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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