Add refined ternary search (iterative & recursive) with enhanced tests

Author: Vigneshv3

searches/ternary_search.py

@@ -1,173 +1,129 @@
 """
-This is a type of divide and conquer algorithm which divides the search space into
-3 parts and finds the target value based on the property of the array or list
-(usually monotonic property).
+Ternary Search Algorithm - Iterative and Recursive Implementations
+
+Divides the search range into 3 parts instead of 2, and recursively or iteratively
+eliminates 2/3 of the array in each step.
 
 Time Complexity  : O(log3 N)
-Space Complexity : O(1)
+Space Complexity : O(1) for iterative, O(log3 N) for recursive
 """
 
 from __future__ import annotations
 
-# This is the precision for this function which can be altered.
-# It is recommended for users to keep this number greater than or equal to 10.
-precision = 10
-
-
-# This is the linear search that will occur after the search space has become smaller.
-
-
-def lin_search(left: int, right: int, array: list[int], target: int) -> int:
-    """Perform linear search in list. Returns -1 if element is not found.
-
-    Parameters
-    ----------
-    left : int
-        left index bound.
-    right : int
-        right index bound.
-    array : List[int]
-        List of elements to be searched on
-    target : int
-        Element that is searched
 
-    Returns
-    -------
-    int
-        index of element that is looked for.
+def linear_search(start: int, end: int, array: list[int | float | str], target) -> int:
+    """
+    Fallback linear search when search window is small.
 
-    Examples
-    --------
-    >>> lin_search(0, 4, [4, 5, 6, 7], 7)
-    3
-    >>> lin_search(0, 3, [4, 5, 6, 7], 7)
-    -1
-    >>> lin_search(0, 2, [-18, 2], -18)
-    0
-    >>> lin_search(0, 1, [5], 5)
-    0
-    >>> lin_search(0, 3, ['a', 'c', 'd'], 'c')
-    1
-    >>> lin_search(0, 3, [.1, .4 , -.1], .1)
-    0
-    >>> lin_search(0, 3, [.1, .4 , -.1], -.1)
+    >>> linear_search(0, 4, [1, 2, 3, 4], 3)
     2
+    >>> linear_search(0, 2, ["a", "b", "c"], "b")
+    1
+    >>> linear_search(0, 3, [0.1, 0.2, 0.3], 0.4)
+    -1
     """
-    for i in range(left, right):
+    for i in range(start, end):
         if array[i] == target:
             return i
     return -1
 
 
-def ite_ternary_search(array: list[int], target: int) -> int:
-    """Iterative method of the ternary search algorithm.
-    >>> test_list = [0, 1, 2, 8, 13, 17, 19, 32, 42]
-    >>> ite_ternary_search(test_list, 3)
-    -1
-    >>> ite_ternary_search(test_list, 13)
-    4
-    >>> ite_ternary_search([4, 5, 6, 7], 4)
-    0
-    >>> ite_ternary_search([4, 5, 6, 7], -10)
-    -1
-    >>> ite_ternary_search([-18, 2], -18)
-    0
-    >>> ite_ternary_search([5], 5)
-    0
-    >>> ite_ternary_search(['a', 'c', 'd'], 'c')
-    1
-    >>> ite_ternary_search(['a', 'c', 'd'], 'f')
+def ternary_search_iterative(array: list[int | float | str], target) -> int:
+    """
+    Iterative ternary search algorithm for sorted arrays.
+
+    >>> ternary_search_iterative([1, 3, 5, 7, 9], 7)
+    3
+    >>> ternary_search_iterative([1, 3, 5, 7, 9], 2)
     -1
-    >>> ite_ternary_search([], 1)
+    >>> ternary_search_iterative([], 4)
     -1
-    >>> ite_ternary_search([.1, .4 , -.1], .1)
-    0
     """
-
     left = 0
-    right = len(array)
+    right = len(array) - 1
+    threshold = 10
+
     while left <= right:
-        if right - left < precision:
-            return lin_search(left, right, array, target)
+        if right - left < threshold:
+            return linear_search(left, right + 1, array, target)
 
-        one_third = (left + right) // 3 + 1
-        two_third = 2 * (left + right) // 3 + 1
+        one_third = left + (right - left) // 3
+        two_third = right - (right - left) // 3
 
         if array[one_third] == target:
             return one_third
         elif array[two_third] == target:
             return two_third
-
         elif target < array[one_third]:
             right = one_third - 1
-        elif array[two_third] < target:
+        elif target > array[two_third]:
             left = two_third + 1
-
         else:
             left = one_third + 1
             right = two_third - 1
+
     return -1
 
 
-def rec_ternary_search(left: int, right: int, array: list[int], target: int) -> int:
-    """Recursive method of the ternary search algorithm.
+def ternary_search_recursive(
+    array: list[int | float | str],
+    target,
+    left: int = 0,
+    right: int | None = None,
+    threshold: int = 10,
+) -> int:
+    """
+    Recursive ternary search algorithm.
 
-    >>> test_list = [0, 1, 2, 8, 13, 17, 19, 32, 42]
-    >>> rec_ternary_search(0, len(test_list), test_list, 3)
-    -1
-    >>> rec_ternary_search(4, len(test_list), test_list, 42)
-    8
-    >>> rec_ternary_search(0, 2, [4, 5, 6, 7], 4)
-    0
-    >>> rec_ternary_search(0, 3, [4, 5, 6, 7], -10)
-    -1
-    >>> rec_ternary_search(0, 1, [-18, 2], -18)
-    0
-    >>> rec_ternary_search(0, 1, [5], 5)
-    0
-    >>> rec_ternary_search(0, 2, ['a', 'c', 'd'], 'c')
-    1
-    >>> rec_ternary_search(0, 2, ['a', 'c', 'd'], 'f')
-    -1
-    >>> rec_ternary_search(0, 0, [], 1)
+    >>> ternary_search_recursive([1, 3, 5, 7, 9], 7)
+    3
+    >>> ternary_search_recursive(["a", "b", "c", "d"], "c")
+    2
+    >>> ternary_search_recursive([], 1)
     -1
-    >>> rec_ternary_search(0, 3, [.1, .4 , -.1], .1)
-    0
     """
-    if left < right:
-        if right - left < precision:
-            return lin_search(left, right, array, target)
-        one_third = (left + right) // 3 + 1
-        two_third = 2 * (left + right) // 3 + 1
+    if right is None:
+        right = len(array) - 1
 
-        if array[one_third] == target:
-            return one_third
-        elif array[two_third] == target:
-            return two_third
+    if left > right:
+        return -1
 
-        elif target < array[one_third]:
-            return rec_ternary_search(left, one_third - 1, array, target)
-        elif array[two_third] < target:
-            return rec_ternary_search(two_third + 1, right, array, target)
-        else:
-            return rec_ternary_search(one_third + 1, two_third - 1, array, target)
+    if right - left < threshold:
+        return linear_search(left, right + 1, array, target)
+
+    one_third = left + (right - left) // 3
+    two_third = right - (right - left) // 3
+
+    if array[one_third] == target:
+        return one_third
+    elif array[two_third] == target:
+        return two_third
+    elif target < array[one_third]:
+        return ternary_search_recursive(array, target, left, one_third - 1, threshold)
+    elif target > array[two_third]:
+        return ternary_search_recursive(array, target, two_third + 1, right, threshold)
     else:
-        return -1
+        return ternary_search_recursive(array, target, one_third + 1, two_third - 1, threshold)
 
 
 if __name__ == "__main__":
     import doctest
 
     doctest.testmod()
 
-    user_input = input("Enter numbers separated by comma:\n").strip()
-    collection = [int(item.strip()) for item in user_input.split(",")]
-    assert collection == sorted(collection), f"List must be ordered.\n{collection}."
-    target = int(input("Enter the number to be found in the list:\n").strip())
-    result1 = ite_ternary_search(collection, target)
-    result2 = rec_ternary_search(0, len(collection) - 1, collection, target)
-    if result2 != -1:
-        print(f"Iterative search: {target} found at positions: {result1}")
-        print(f"Recursive search: {target} found at positions: {result2}")
-    else:
-        print("Not found")
+    try:
+        raw_input = input("\nEnter sorted numbers separated by commas: ").strip()
+        collection = [int(x) for x in raw_input.split(",")]
+        assert collection == sorted(collection), "Input must be sorted in ascending order."
+        target = int(input("Enter the number to search: "))
+
+        result_iter = ternary_search_iterative(collection, target)
+        result_rec = ternary_search_recursive(collection, target)
+
+        if result_iter != -1:
+            print(f"Iterative Search: Found {target} at index {result_iter}")
+            print(f"Recursive Search: Found {target} at index {result_rec}")
+        else:
+            print(f"{target} not found in the list.")
+    except Exception as e:
+        print(f"Error: {e}")