八大排序算法的Python实现

def insert_sort(lists):
 # 插入排序
 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

def shell_sort(lists):
 # 希尔排序
 count = len(lists)
 step = 2
 group = count / step
 while group > 0:
  for i in range(0, group):
   j = i + group
   while j < count:
    k = j - group
    key = lists[j]
    while k >= 0:
     if lists[k] > key:
      lists[k + group] = lists[k]
      lists[k] = key
     k -= group
    j += group
  group /= step
 return lists

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

def quick_sort(lists, left, right):
 # 快速排序
 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

def select_sort(lists):
 # 选择排序
 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
  lists[min], lists[i] = lists[i], lists[min]
 return lists

# 调整堆
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)

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

# 堆排序
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)

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:]
 return result

def merge_sort(lists):
 # 归并排序
 if len(lists) <= 1:
  return lists
 num = len(lists) / 2
 left = merge_sort(lists[:num])
 right = merge_sort(lists[num:])
 return merge(left, right)

import math
def radix_sort(lists, radix=10):
 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[j/(radix**(i-1)) % (radix**i)].append(j)
  del lists[:]
  for z in bucket:
   lists += z
   del z[:]
 return lists