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* added laplacian_filter file * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * updated laplacian.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * updated laplacian_py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * updated laplacian_filter.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * updated laplacian_filter.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * updated laplacian_filter.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * required changes to laplacian file * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * changed laplacian_filter.py * changed laplacian_filter.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * changed laplacian_filter.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * changed laplacian_filter.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * updated laplacian_filter.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update laplacian_filter.py * update laplacian_filter.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update laplacian_filter.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * changed laplacian_filter.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * changed laplacian_filter.py * changed laplacian_filter.py * changed laplacian_filter.py * add matrix_multiplication.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update matrix_multiplication * update matrix_multiplication * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * make changes * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update * update * updates * resolve conflict * add doctest * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * make changes * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update laplacian.py * add doctests * more doctest added * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * try to resolve ruff error * try to reslve ruff error * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update doctest * attemp - resolve ruff error * resolve build error * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * resolve build issue * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update build * doctest update * update doctest * update doctest * update doctest * fix ruff error * file location changed * Delete digital_image_processing/filters/laplacian_filter.py * Create laplacian_filter.py * Update matrix_multiplication_recursion.py * Update matrix_multiplication_recursion.py * Update matrix_multiplication_recursion.py * Update matrix_multiplication_recursion.py * Update matrix_multiplication_recursion.py * Add doctest to median_of_3 * add doctest to median_of_3 function * Update intro_sort.py * Update sorts/intro_sort.py --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Christian Clauss <cclauss@me.com>
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@ -1,5 +1,5 @@
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"""
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"""
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Introspective Sort is hybrid sort (Quick Sort + Heap Sort + Insertion Sort)
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Introspective Sort is a hybrid sort (Quick Sort + Heap Sort + Insertion Sort)
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if the size of the list is under 16, use insertion sort
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if the size of the list is under 16, use insertion sort
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https://en.wikipedia.org/wiki/Introsort
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https://en.wikipedia.org/wiki/Introsort
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"""
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"""
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@ -9,7 +9,6 @@ import math
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def insertion_sort(array: list, start: int = 0, end: int = 0) -> list:
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def insertion_sort(array: list, start: int = 0, end: int = 0) -> list:
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"""
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"""
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>>> array = [4, 2, 6, 8, 1, 7, 8, 22, 14, 56, 27, 79, 23, 45, 14, 12]
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>>> array = [4, 2, 6, 8, 1, 7, 8, 22, 14, 56, 27, 79, 23, 45, 14, 12]
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>>> insertion_sort(array, 0, len(array))
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>>> insertion_sort(array, 0, len(array))
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[1, 2, 4, 6, 7, 8, 8, 12, 14, 14, 22, 23, 27, 45, 56, 79]
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[1, 2, 4, 6, 7, 8, 8, 12, 14, 14, 22, 23, 27, 45, 56, 79]
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"""
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"""
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@ -27,8 +26,7 @@ def insertion_sort(array: list, start: int = 0, end: int = 0) -> list:
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def heapify(array: list, index: int, heap_size: int) -> None: # Max Heap
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def heapify(array: list, index: int, heap_size: int) -> None: # Max Heap
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"""
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"""
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>>> array = [4, 2, 6, 8, 1, 7, 8, 22, 14, 56, 27, 79, 23, 45, 14, 12]
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>>> array = [4, 2, 6, 8, 1, 7, 8, 22, 14, 56, 27, 79, 23, 45, 14, 12]
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>>> heapify(array, len(array) // 2, len(array))
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>>> heapify(array, len(array) // 2 ,len(array))
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"""
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"""
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largest = index
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largest = index
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left_index = 2 * index + 1 # Left Node
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left_index = 2 * index + 1 # Left Node
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@ -47,9 +45,7 @@ def heapify(array: list, index: int, heap_size: int) -> None: # Max Heap
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def heap_sort(array: list) -> list:
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def heap_sort(array: list) -> list:
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"""
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"""
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>>> array = [4, 2, 6, 8, 1, 7, 8, 22, 14, 56, 27, 79, 23, 45, 14, 12]
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>>> heap_sort([4, 2, 6, 8, 1, 7, 8, 22, 14, 56, 27, 79, 23, 45, 14, 12])
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>>> heap_sort(array)
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[1, 2, 4, 6, 7, 8, 8, 12, 14, 14, 22, 23, 27, 45, 56, 79]
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[1, 2, 4, 6, 7, 8, 8, 12, 14, 14, 22, 23, 27, 45, 56, 79]
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"""
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"""
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n = len(array)
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n = len(array)
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@ -69,9 +65,14 @@ def median_of_3(
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) -> int:
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) -> int:
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"""
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"""
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>>> array = [4, 2, 6, 8, 1, 7, 8, 22, 14, 56, 27, 79, 23, 45, 14, 12]
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>>> array = [4, 2, 6, 8, 1, 7, 8, 22, 14, 56, 27, 79, 23, 45, 14, 12]
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>>> median_of_3(array, 0, ((len(array) - 0) // 2) + 1, len(array) - 1)
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>>> median_of_3(array, 0, 0 + ((len(array) - 0) // 2) + 1, len(array) - 1)
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12
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12
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>>> array = [13, 2, 6, 8, 1, 7, 8, 22, 14, 56, 27, 79, 23, 45, 14, 12]
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>>> median_of_3(array, 0, ((len(array) - 0) // 2) + 1, len(array) - 1)
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13
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>>> array = [4, 2, 6, 8, 1, 7, 8, 22, 15, 14, 27, 79, 23, 45, 14, 16]
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>>> median_of_3(array, 0, ((len(array) - 0) // 2) + 1, len(array) - 1)
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14
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"""
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"""
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if (array[first_index] > array[middle_index]) != (
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if (array[first_index] > array[middle_index]) != (
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array[first_index] > array[last_index]
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array[first_index] > array[last_index]
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def partition(array: list, low: int, high: int, pivot: int) -> int:
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def partition(array: list, low: int, high: int, pivot: int) -> int:
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"""
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"""
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>>> array = [4, 2, 6, 8, 1, 7, 8, 22, 14, 56, 27, 79, 23, 45, 14, 12]
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>>> array = [4, 2, 6, 8, 1, 7, 8, 22, 14, 56, 27, 79, 23, 45, 14, 12]
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>>> partition(array, 0, len(array), 12)
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>>> partition(array, 0, len(array), 12)
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8
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8
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"""
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"""
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Examples:
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Examples:
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>>> sort([4, 2, 6, 8, 1, 7, 8, 22, 14, 56, 27, 79, 23, 45, 14, 12])
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>>> sort([4, 2, 6, 8, 1, 7, 8, 22, 14, 56, 27, 79, 23, 45, 14, 12])
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[1, 2, 4, 6, 7, 8, 8, 12, 14, 14, 22, 23, 27, 45, 56, 79]
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[1, 2, 4, 6, 7, 8, 8, 12, 14, 14, 22, 23, 27, 45, 56, 79]
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>>> sort([-1, -5, -3, -13, -44])
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>>> sort([-1, -5, -3, -13, -44])
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[-44, -13, -5, -3, -1]
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[-44, -13, -5, -3, -1]
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>>> sort([])
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>>> sort([])
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[]
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[]
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>>> sort([5])
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>>> sort([5])
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[5]
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[5]
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>>> sort([-3, 0, -7, 6, 23, -34])
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>>> sort([-3, 0, -7, 6, 23, -34])
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[-34, -7, -3, 0, 6, 23]
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[-34, -7, -3, 0, 6, 23]
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>>> sort([1.7, 1.0, 3.3, 2.1, 0.3 ])
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>>> sort([1.7, 1.0, 3.3, 2.1, 0.3 ])
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[0.3, 1.0, 1.7, 2.1, 3.3]
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[0.3, 1.0, 1.7, 2.1, 3.3]
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>>> sort(['d', 'a', 'b', 'e', 'c'])
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>>> sort(['d', 'a', 'b', 'e', 'c'])
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['a', 'b', 'c', 'd', 'e']
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['a', 'b', 'c', 'd', 'e']
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"""
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"""
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) -> list:
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) -> list:
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"""
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"""
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>>> array = [4, 2, 6, 8, 1, 7, 8, 22, 14, 56, 27, 79, 23, 45, 14, 12]
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>>> array = [4, 2, 6, 8, 1, 7, 8, 22, 14, 56, 27, 79, 23, 45, 14, 12]
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>>> max_depth = 2 * math.ceil(math.log2(len(array)))
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>>> max_depth = 2 * math.ceil(math.log2(len(array)))
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>>> intro_sort(array, 0, len(array), 16, max_depth)
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>>> intro_sort(array, 0, len(array), 16, max_depth)
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[1, 2, 4, 6, 7, 8, 8, 12, 14, 14, 22, 23, 27, 45, 56, 79]
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[1, 2, 4, 6, 7, 8, 8, 12, 14, 14, 22, 23, 27, 45, 56, 79]
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"""
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"""
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import doctest
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import doctest
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doctest.testmod()
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doctest.testmod()
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user_input = input("Enter numbers separated by a comma : ").strip()
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user_input = input("Enter numbers separated by a comma : ").strip()
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unsorted = [float(item) for item in user_input.split(",")]
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unsorted = [float(item) for item in user_input.split(",")]
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print(sort(unsorted))
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print(f"{sort(unsorted) = }")
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