Python/searches/binary_search.py

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"""
This is pure python implementation of binary search algorithm
For doctests run following command:
python -m doctest -v binary_search.py
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or
python3 -m doctest -v binary_search.py
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For manual testing run:
python binary_search.py
"""
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import bisect
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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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Be careful collection must be ascending sorted, otherwise result will be
unpredictable
:param sorted_collection: some ascending sorted collection with comparable items
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:param item: item value to search
:return: index of found item or None if item is not found
Examples:
>>> binary_search([0, 5, 7, 10, 15], 0)
0
>>> binary_search([0, 5, 7, 10, 15], 15)
4
>>> binary_search([0, 5, 7, 10, 15], 5)
1
>>> binary_search([0, 5, 7, 10, 15], 6)
"""
left = 0
right = len(sorted_collection) - 1
while left <= right:
midpoint = left + (right - left) // 2
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current_item = sorted_collection[midpoint]
if current_item == item:
return midpoint
else:
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if item < current_item:
right = midpoint - 1
else:
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left = midpoint + 1
return None
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def binary_search_std_lib(sorted_collection, item):
"""Pure implementation of binary search algorithm in Python using stdlib
Be careful collection must be ascending sorted, otherwise result will be
unpredictable
:param sorted_collection: some ascending sorted collection with comparable items
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:param item: item value to search
:return: index of found item or None if item is not found
Examples:
>>> binary_search_std_lib([0, 5, 7, 10, 15], 0)
0
>>> binary_search_std_lib([0, 5, 7, 10, 15], 15)
4
>>> binary_search_std_lib([0, 5, 7, 10, 15], 5)
1
>>> binary_search_std_lib([0, 5, 7, 10, 15], 6)
"""
index = bisect.bisect_left(sorted_collection, item)
if index != len(sorted_collection) and sorted_collection[index] == item:
return index
return None
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def binary_search_by_recursion(sorted_collection, item, left, right):
"""Pure implementation of binary search algorithm in Python by recursion
Be careful collection must be ascending sorted, otherwise result will be
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unpredictable
First recursion should be started with left=0 and right=(len(sorted_collection)-1)
:param sorted_collection: some ascending sorted collection with comparable items
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:param item: item value to search
:return: index of found item or None if item is not found
Examples:
>>> binary_search_std_lib([0, 5, 7, 10, 15], 0)
0
>>> binary_search_std_lib([0, 5, 7, 10, 15], 15)
4
>>> binary_search_std_lib([0, 5, 7, 10, 15], 5)
1
>>> binary_search_std_lib([0, 5, 7, 10, 15], 6)
"""
if (right < left):
return None
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midpoint = left + (right - left) // 2
if sorted_collection[midpoint] == item:
return midpoint
elif sorted_collection[midpoint] > item:
return binary_search_by_recursion(sorted_collection, item, left, midpoint-1)
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else:
return binary_search_by_recursion(sorted_collection, item, midpoint+1, right)
def __assert_sorted(collection):
"""Check if collection is ascending sorted, if not - raises :py:class:`ValueError`
:param collection: collection
:return: True if collection is ascending sorted
:raise: :py:class:`ValueError` if collection is not ascending sorted
Examples:
>>> __assert_sorted([0, 1, 2, 4])
True
>>> __assert_sorted([10, -1, 5])
Traceback (most recent call last):
...
ValueError: Collection must be ascending sorted
"""
if collection != sorted(collection):
raise ValueError('Collection must be ascending sorted')
return True
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if __name__ == '__main__':
import sys
user_input = input('Enter numbers separated by comma:\n').strip()
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collection = [int(item) for item in user_input.split(',')]
try:
__assert_sorted(collection)
except ValueError:
sys.exit('Sequence must be ascending sorted to apply binary search')
target_input = input('Enter a single number to be found in the list:\n')
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target = int(target_input)
result = binary_search(collection, target)
if result is not None:
print('{} found at positions: {}'.format(target, result))
else:
print('Not found')