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* pre-commit: Upgrade psf/black for stable style 2023 Updating https://github.com/psf/black ... updating 22.12.0 -> 23.1.0 for their `2023 stable style`. * https://github.com/psf/black/blob/main/CHANGES.md#2310 > This is the first [psf/black] release of 2023, and following our stability policy, it comes with a number of improvements to our stable style… Also, add https://github.com/tox-dev/pyproject-fmt and https://github.com/abravalheri/validate-pyproject to pre-commit. I only modified `.pre-commit-config.yaml` and all other files were modified by pre-commit.ci and psf/black. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
174 lines
4.9 KiB
Python
174 lines
4.9 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 annotations
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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: int, right: int, array: list[int], target: int) -> int:
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"""Perform linear search in list. Returns -1 if element is not found.
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Parameters
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----------
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left : int
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left index bound.
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right : int
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right index bound.
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array : List[int]
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List of elements to be searched on
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target : int
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Element that is searched
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Returns
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-------
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int
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index of element that is looked for.
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Examples
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--------
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>>> lin_search(0, 4, [4, 5, 6, 7], 7)
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3
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>>> lin_search(0, 3, [4, 5, 6, 7], 7)
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-1
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>>> lin_search(0, 2, [-18, 2], -18)
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0
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>>> lin_search(0, 1, [5], 5)
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0
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>>> lin_search(0, 3, ['a', 'c', 'd'], 'c')
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1
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>>> lin_search(0, 3, [.1, .4 , -.1], .1)
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0
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>>> lin_search(0, 3, [.1, .4 , -.1], -.1)
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2
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"""
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for i in range(left, right):
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if array[i] == target:
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return i
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return -1
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def ite_ternary_search(array: list[int], target: int) -> int:
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"""Iterative method of the ternary search algorithm.
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>>> test_list = [0, 1, 2, 8, 13, 17, 19, 32, 42]
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>>> ite_ternary_search(test_list, 3)
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-1
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>>> ite_ternary_search(test_list, 13)
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4
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>>> ite_ternary_search([4, 5, 6, 7], 4)
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0
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>>> ite_ternary_search([4, 5, 6, 7], -10)
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-1
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>>> ite_ternary_search([-18, 2], -18)
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0
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>>> ite_ternary_search([5], 5)
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0
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>>> ite_ternary_search(['a', 'c', 'd'], 'c')
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1
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>>> ite_ternary_search(['a', 'c', 'd'], 'f')
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-1
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>>> ite_ternary_search([], 1)
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-1
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>>> ite_ternary_search([.1, .4 , -.1], .1)
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0
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"""
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left = 0
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right = len(array)
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while left <= right:
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if right - left < precision:
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return lin_search(left, right, array, target)
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one_third = (left + right) // 3 + 1
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two_third = 2 * (left + right) // 3 + 1
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if array[one_third] == target:
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return one_third
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elif array[two_third] == target:
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return two_third
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elif target < array[one_third]:
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right = one_third - 1
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elif array[two_third] < target:
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left = two_third + 1
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else:
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left = one_third + 1
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right = two_third - 1
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else:
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return -1
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def rec_ternary_search(left: int, right: int, array: list[int], target: int) -> int:
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"""Recursive method of the ternary search algorithm.
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>>> test_list = [0, 1, 2, 8, 13, 17, 19, 32, 42]
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>>> rec_ternary_search(0, len(test_list), test_list, 3)
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-1
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>>> rec_ternary_search(4, len(test_list), test_list, 42)
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8
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>>> rec_ternary_search(0, 2, [4, 5, 6, 7], 4)
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0
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>>> rec_ternary_search(0, 3, [4, 5, 6, 7], -10)
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-1
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>>> rec_ternary_search(0, 1, [-18, 2], -18)
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0
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>>> rec_ternary_search(0, 1, [5], 5)
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0
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>>> rec_ternary_search(0, 2, ['a', 'c', 'd'], 'c')
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1
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>>> rec_ternary_search(0, 2, ['a', 'c', 'd'], 'f')
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-1
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>>> rec_ternary_search(0, 0, [], 1)
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-1
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>>> rec_ternary_search(0, 3, [.1, .4 , -.1], .1)
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0
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"""
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if left < right:
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if right - left < precision:
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return lin_search(left, right, array, target)
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one_third = (left + right) // 3 + 1
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two_third = 2 * (left + right) // 3 + 1
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if array[one_third] == target:
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return one_third
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elif array[two_third] == target:
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return two_third
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elif target < array[one_third]:
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return rec_ternary_search(left, one_third - 1, array, target)
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elif array[two_third] < target:
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return rec_ternary_search(two_third + 1, right, array, target)
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else:
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return rec_ternary_search(one_third + 1, two_third - 1, array, target)
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else:
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return -1
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if __name__ == "__main__":
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import doctest
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doctest.testmod()
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user_input = input("Enter numbers separated by comma:\n").strip()
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collection = [int(item.strip()) for item in user_input.split(",")]
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assert collection == sorted(collection), f"List must be ordered.\n{collection}."
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target = int(input("Enter the number to be found in the list:\n").strip())
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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 != -1:
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print(f"Iterative search: {target} found at positions: {result1}")
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print(f"Recursive search: {target} found at positions: {result2}")
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else:
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print("Not found")
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