Exemple #1
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def partition(lst, start, end):
    middle_value = lst[end]
    middle_index = start - 1
    for index in range(start, end):
        if lst[index] <= middle_value:
            middle_index += 1
            swap(lst, middle_index, index)
    middle_index += 1
    swap(lst, middle_index, end)
    return middle_index
Exemple #2
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def partition(lst, median_value):
    """divide lst by median_value and return the index of median_value"""
    middle_index = -1
    for i in range(len(lst)):
        if lst[i] <= median_value:
            middle_index += 1
            swap(lst, middle_index, i)
            if lst[middle_index] == median_value:
                self_index = middle_index
    swap(lst, middle_index, self_index)
    return middle_index
Exemple #3
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def radix_sort(lst):
    """sorting a word list to dict-order"""
    # get the length of the longest word
    longest_length = 0
    if len(lst) < 0:
        return
    for i in range(len(lst)):
        if len(lst[i]) > longest_length:
            longest_length = len(lst[i])
    # sorting
    for i in range(longest_length - 1, -1, -1):
        # using any stable sorting algo, for example bubble sort
        for x in range(1, len(lst)):
            for y in range(len(lst) - x):
                if get_alphabet(lst, y) > get_alphabet(lst, y + 1):
                    swap(lst, y, y + 1)
Exemple #4
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def quick_sort(lst, start=0, end=-1):
    if end == -1:
        end = len(lst) - 1
    if start < end:
        exchange_index = start - 1
        # randomized middle value
        middle_index = np.random.randint(start, end)
        swap(lst, middle_index, end)
        for i in range(start, end):
            if lst[i] <= lst[end]:
                exchange_index += 1
                swap(lst, i, exchange_index)
        exchange_index += 1
        swap(lst, end, exchange_index)
        if start < exchange_index:
            quick_sort(lst, start, exchange_index-1)
        if exchange_index < end:
            quick_sort(lst, exchange_index+1, end)
Exemple #5
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def randomized_partition(lst, start, end):
    middle = np.random.randint(start, end)
    swap(lst, middle, end)
    return partition(lst, start, end)