order_agri.py

# select sort
def select_sort(lists):
    count = len(lists)
    for i in range(0, count):
        min = i
        for j in range(i + 1, count):
            if lists[min] > lists[j]:
                min = j
            temp = lists[min]
            lists[min] = lists[i]
            lists[i] = temp
    return  lists



# bubble sort
def bubble_sort(lists):
    count = len(lists)
    for i in range(0, count):
        for j in range(i + 1, count):
            if lists[i] > lists[j]:
                temp = lists[j]
                lists[j] = lists[i]
                lists[i] = temp
    return  lists



#  insert sort
def insert_sort(lists):
    count = len(lists)
    for i in range(1, count):
        key = lists[i]
        j = i - 1
        while j >= 0:
            if lists[j] > key:
                lists[j + 1] = lists[j]
                lists[j] = key
            j -= 1
    return lists


#  merge sort
def merge(left, right):
    i, j = 0, 0
    result = []
    while i < len(left) and j < len(right):
        if left[i] <= right[j]:
            result.append(left[i])
            i += 1
        else:
            result.append(right[j])
            j += 1
    result += left[i:]
    result += right[j:]
def merge_sort(lists):
    if len(lists) <= 1:
        return lists
    num = len(lists) / 2
    left = merge_sort(lists[:num])
    right = merge_sort(lists[num:])
    return merge(left, right)


#  quick sort
def quick_sort(lists, left, right):
    if left >= right:
        return lists
    key = lists[left]
    low = left
    high = right
    while left < right:
        while left < right and lists[right] >= key:
            right -= 1
        lists[left] = lists[right]
        while left < right and lists[left] <= key:
            left += 1
        lists[right] = lists[left]
    lists[right] = key
    quick_sort(lists, low, left - 1)
    quick_sort(lists, left + 1, high)
    return  lists


#  heap sort
def adjust_heap(lists, i, size):
    lchild = 2 * i + 1
    rchild = 2 * i + 2
    max = i
    if i < size / 2:
        if lchild < size and lists[lchild] > lists[max]:
            max = lchild
        if rchild < size and lists[rchild] > lists[max]:
            max = rchild
        if max != i:
            lists[max], lists[i] = lists[i], lists[max]
            adjust_heap(lists, max, size)

def build_heap(lists, size):
    for i in range(0, (int(size/2)))[::-1]:
        adjust_heap(lists, i, size)

def heap_sort(lists):
    size = len(lists)
    build_heap(lists, size)
    for i in range(0, size)[::-1]:
        lists[0], lists[i] = lists[i], lists[0]
        adjust_heap(lists, 0, i)
    return lists


#  radix sort distribution sort or bucket sort
import math
def radix_sort(lists, radix = 100):
    k = int(math.ceil(math.log(max(lists), radix)))
    bucket = [[] for i in range(radix)]
    for i in range(1, k + 1):
        for j in lists:
            bucket[int(j / (radix ** (i - 1)) % (radix ** i))].append(j)
        del lists[:]
        for z in bucket:
            lists += z
            del z[:]
    return lists


if __name__ == '__main__':
    lst = [1, 9, 43, 3, 0, 7, 10, 18, 99, 897, 112]
    #result_1 = heap_sort(lst)
    result_1 = radix_sort(lst)
    print result_1