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Add Optimized Shell Sort (#6225)
* Add Optimized Shell Sort * Added return type * reformatted * added shrink_shell.py * ran directory generator * Rename shrink_shell.py to shrink_shell_sort.py Co-authored-by: John Law <johnlaw.po@gmail.com>
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* [Scoring Functions](machine_learning/scoring_functions.py)
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* [Scoring Functions](machine_learning/scoring_functions.py)
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* [Sequential Minimum Optimization](machine_learning/sequential_minimum_optimization.py)
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* [Sequential Minimum Optimization](machine_learning/sequential_minimum_optimization.py)
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* [Similarity Search](machine_learning/similarity_search.py)
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* [Similarity Search](machine_learning/similarity_search.py)
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* [Support Vector Machines](machine_learning/support_vector_machines.py)
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* [Word Frequency Functions](machine_learning/word_frequency_functions.py)
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* [Word Frequency Functions](machine_learning/word_frequency_functions.py)
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## Maths
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## Maths
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* [Recursive Quick Sort](sorts/recursive_quick_sort.py)
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* [Recursive Quick Sort](sorts/recursive_quick_sort.py)
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* [Selection Sort](sorts/selection_sort.py)
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* [Selection Sort](sorts/selection_sort.py)
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* [Shell Sort](sorts/shell_sort.py)
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* [Shell Sort](sorts/shell_sort.py)
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* [Shrink Shell](sorts/shrink_shell.py)
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* [Slowsort](sorts/slowsort.py)
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* [Slowsort](sorts/slowsort.py)
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* [Stooge Sort](sorts/stooge_sort.py)
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* [Stooge Sort](sorts/stooge_sort.py)
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* [Strand Sort](sorts/strand_sort.py)
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* [Strand Sort](sorts/strand_sort.py)
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sorts/shrink_shell_sort.py
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sorts/shrink_shell_sort.py
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"""
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This function implements the shell sort algorithm
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which is slightly faster than its pure implementation.
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This shell sort is implemented using a gap, which
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shrinks by a certain factor each iteration. In this
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implementation, the gap is initially set to the
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length of the collection. The gap is then reduced by
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a certain factor (1.3) each iteration.
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For each iteration, the algorithm compares elements
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that are a certain number of positions apart
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(determined by the gap). If the element at the higher
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position is greater than the element at the lower
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position, the two elements are swapped. The process
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is repeated until the gap is equal to 1.
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The reason this is more efficient is that it reduces
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the number of comparisons that need to be made. By
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using a smaller gap, the list is sorted more quickly.
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"""
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def shell_sort(collection: list) -> list:
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"""Implementation of shell sort algorithm in Python
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:param collection: Some mutable ordered collection with heterogeneous
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comparable items inside
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:return: the same collection ordered by ascending
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>>> shell_sort([3, 2, 1])
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[1, 2, 3]
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>>> shell_sort([])
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[]
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>>> shell_sort([1])
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[1]
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"""
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# Choose an initial gap value
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gap = len(collection)
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# Set the gap value to be decreased by a factor of 1.3
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# after each iteration
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shrink = 1.3
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# Continue sorting until the gap is 1
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while gap > 1:
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# Decrease the gap value
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gap = int(gap / shrink)
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# Sort the elements using insertion sort
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for i in range(gap, len(collection)):
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temp = collection[i]
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j = i
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while j >= gap and collection[j - gap] > temp:
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collection[j] = collection[j - gap]
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j -= gap
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collection[j] = temp
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return collection
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if __name__ == "__main__":
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import doctest
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doctest.testmod()
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