✨ feat: 找出分区值 python3实现

Author: 王洋

problemset/excel-sheet-column-number/index.py

@@ -10,7 +10,7 @@ def titleToNumber(self, columnTitle: str) -> int:
       res = res + (c -_A) * math.pow(26, i)
     return int(res)
 
-# s = Solution()
-# print(s.titleToNumber('A'))
+s = Solution()
+print(s.titleToNumber('A'))
 # print(s.titleToNumber('AB'))
 # print(s.titleToNumber('ZY'))

problemset/find-the-value-of-the-partition/index.py

@@ -0,0 +1,27 @@
+# 从utilsPython/array.py导入quick_sort
+# from utilsPython.array import quick_sort
+from typing import List
+
+def quick_sort(arr: List[int]) -> List[int]:
+    if len(arr) <= 1:
+        return arr
+    pivot = arr[len(arr) // 2]
+    left = [x for x in arr if x < pivot]
+    middle = [x for x in arr if x == pivot]
+    right = [x for x in arr if x > pivot]
+    return quick_sort(left) + middle + quick_sort(right)
+
+class Solution:
+  def findValueOfPartition(self, nums: List[int]) -> int:
+    sortedNums = quick_sort(nums)
+    n = len(sortedNums)
+    res = -1
+    for i in range(0, n-1):
+      x = sortedNums[i + 1] - sortedNums[i]
+      if res == -1 or x < res:
+        res = x
+    return res
+
+s = Solution()
+print(s.findValueOfPartition([1,3,2,4])) # 1
+print(s.findValueOfPartition([100,1,10])) # 9

utilsPython/array.py

@@ -0,0 +1,101 @@
+# array.py
+
+from typing import List
+
+def quick_sort(arr: List[int]) -> List[int]:
+    if len(arr) <= 1:
+        return arr
+    pivot = arr[len(arr) // 2]
+    left = [x for x in arr if x < pivot]
+    middle = [x for x in arr if x == pivot]
+    right = [x for x in arr if x > pivot]
+    return quick_sort(left) + middle + quick_sort(right)
+
+def merge_sort(arr: List[int]) -> List[int]:
+    if len(arr) <= 1:
+        return arr
+    middle = len(arr) // 2
+    left = merge_sort(arr[:middle])
+    right = merge_sort(arr[middle:])
+    return merge(left, right)
+
+def merge(left: List[int], right: List[int]) -> List[int]:
+    result = []
+    while left and right:
+        if left[0] < right[0]:
+            result.append(left.pop(0))
+        else:
+            result.append(right.pop(0))
+    result.extend(left if left else right)
+    return result
+
+def heap_sort(arr: List[int]) -> List[int]:
+    def heapify(arr: List[int], n: int, i: int):
+        largest = i
+        left = 2 * i + 1
+        right = 2 * i + 2
+
+        if left < n and arr[left] > arr[largest]:
+            largest = left
+
+        if right < n and arr[right] > arr[largest]:
+            largest = right
+
+        if largest != i:
+            arr[i], arr[largest] = arr[largest], arr[i]
+            heapify(arr, n, largest)
+
+    n = len(arr)
+    for i in range(n // 2 - 1, -1, -1):
+        heapify(arr, n, i)
+    
+    for i in range(n - 1, 0, -1):
+        arr[i], arr[0] = arr[0], arr[i]
+        heapify(arr, i, 0)
+    
+    return arr
+
+def shell_sort(arr: List[int]) -> List[int]:
+    n = len(arr)
+    gap = n // 2
+    while gap > 0:
+        for i in range(gap, n):
+            temp = arr[i]
+            j = i
+            while j >= gap and arr[j - gap] > temp:
+                arr[j] = arr[j - gap]
+                j -= gap
+            arr[j] = temp
+        gap //= 2
+    return arr
+
+def insertion_sort(arr: List[int]) -> List[int]:
+    for i in range(1, len(arr)):
+        key = arr[i]
+        j = i - 1
+        while j >= 0 and key < arr[j]:
+            arr[j + 1] = arr[j]
+            j -= 1
+        arr[j + 1] = key
+    return arr
+
+def selection_sort(arr: List[int]) -> List[int]:
+    for i in range(len(arr)):
+        min_idx = i
+        for j in range(i + 1, len(arr)):
+            if arr[j] < arr[min_idx]:
+                min_idx = j
+        arr[i], arr[min_idx] = arr[min_idx], arr[i]
+    return arr
+
+def bubble_sort(arr: List[int]) -> List[int]:
+    n = len(arr)
+    for i in range(n):
+        swapped = False
+        for j in range(0, n - i - 1):
+            if arr[j] > arr[j + 1]:
+                arr[j], arr[j + 1] = arr[j + 1], arr[j]
+                swapped = True
+        if not swapped:
+            break
+    return arr