Update linear_search.py (#2422)

* Update linear_search.py

Python implementation of recursive linear search algorithm

* Update linear_search.py

Added different doctests
Added the parameter hints
Handled the exception

* Update linear_search.py

added parameter hints to linear_search

* Update linear_search.py

Both the functions return the index if the target is found and -1 if it is not found
The rec_linear_search raises an exception if there is an indexing problem
Made changes in the doc comments

* Update linear_search.py

Co-authored-by: Christian Clauss <cclauss@me.com>
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Ashley Jeji George 2020-09-14 16:14:46 +05:30 committed by GitHub
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@ -2,17 +2,15 @@
This is pure Python implementation of linear search algorithm This is pure Python implementation of linear search algorithm
For doctests run following command: For doctests run following command:
python -m doctest -v linear_search.py
or
python3 -m doctest -v linear_search.py python3 -m doctest -v linear_search.py
For manual testing run: For manual testing run:
python linear_search.py python3 linear_search.py
""" """
def linear_search(sequence, target): def linear_search(sequence: list, target: int) -> int:
"""Pure implementation of linear search algorithm in Python """A pure Python implementation of a linear search algorithm
:param sequence: a collection with comparable items (as sorted items not required :param sequence: a collection with comparable items (as sorted items not required
in Linear Search) in Linear Search)
@ -22,30 +20,58 @@ def linear_search(sequence, target):
Examples: Examples:
>>> linear_search([0, 5, 7, 10, 15], 0) >>> linear_search([0, 5, 7, 10, 15], 0)
0 0
>>> linear_search([0, 5, 7, 10, 15], 15) >>> linear_search([0, 5, 7, 10, 15], 15)
4 4
>>> linear_search([0, 5, 7, 10, 15], 5) >>> linear_search([0, 5, 7, 10, 15], 5)
1 1
>>> linear_search([0, 5, 7, 10, 15], 6) >>> linear_search([0, 5, 7, 10, 15], 6)
-1
""" """
for index, item in enumerate(sequence): for index, item in enumerate(sequence):
if item == target: if item == target:
return index return index
return None return -1
def rec_linear_search(sequence: list, low: int, high: int, target: int) -> int:
"""
A pure Python implementation of a recursive linear search algorithm
:param sequence: a collection with comparable items (as sorted items not required
in Linear Search)
:param low: Lower bound of the array
:param high: Higher bound of the array
:param target: The element to be found
:return: Index of the key or -1 if key not found
Examples:
>>> rec_linear_search([0, 30, 500, 100, 700], 0, 4, 0)
0
>>> rec_linear_search([0, 30, 500, 100, 700], 0, 4, 700)
4
>>> rec_linear_search([0, 30, 500, 100, 700], 0, 4, 30)
1
>>> rec_linear_search([0, 30, 500, 100, 700], 0, 4, -6)
-1
"""
if not (0 <= high < len(sequence) and 0 <= low < len(sequence)):
raise Exception("Invalid upper or lower bound!")
if high < low:
return -1
if sequence[low] == target:
return low
if sequence[high] == target:
return high
return rec_linear_search(sequence, low + 1, high - 1, target)
if __name__ == "__main__": if __name__ == "__main__":
user_input = input("Enter numbers separated by comma:\n").strip() user_input = input("Enter numbers separated by comma:\n").strip()
sequence = [int(item) for item in user_input.split(",")] sequence = [int(item.strip()) for item in user_input.split(",")]
target_input = input("Enter a single number to be found in the list:\n") target = int(input("Enter a single number to be found in the list:\n").strip())
target = int(target_input)
result = linear_search(sequence, target) result = linear_search(sequence, target)
if result is not None: if result != -1:
print(f"{target} found at position : {result}") print(f"linear_search({sequence}, {target}) = {result}")
else: else:
print("Not found") print(f"{target} was not found in {sequence}")