Merge pull request #1479 from janeyziqinglin/master

更新 problems/0704.二分查找python版本; 更新0027.移除元素python版本;添加0977.有序数组的平方 python版本;添加0209.长度最小的子数组python版本;优化 0054.螺旋矩阵 python版本;更新面试题02.07.链表相交 python版本;优化0234.回文链表 python版本;优化0925.长按键入python版本
This commit is contained in:
程序员Carl
2022-07-22 09:54:56 +08:00
committed by GitHub
9 changed files with 148 additions and 108 deletions

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@ -183,28 +183,24 @@ class Solution {
Python
```python
```python3
class Solution:
"""双指针法
时间复杂度O(n)
空间复杂度O(1)
"""
@classmethod
def removeElement(cls, nums: List[int], val: int) -> int:
fast = slow = 0
while fast < len(nums):
if nums[fast] != val:
nums[slow] = nums[fast]
slow += 1
# 当 fast 指针遇到要删除的元素时停止赋值
# slow 指针停止移动, fast 指针继续前进
fast += 1
return slow
def removeElement(self, nums: List[int], val: int) -> int:
if nums is None or len(nums)==0:
return 0
l=0
r=len(nums)-1
while l<r:
while(l<r and nums[l]!=val):
l+=1
while(l<r and nums[r]==val):
r-=1
nums[l], nums[r]=nums[r], nums[l]
print(nums)
if nums[l]==val:
return l
else:
return l+1
```

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@ -685,7 +685,21 @@ class Solution {
```
Python3
```python
//暴力解法
class Solution(object):
def strStr(self, haystack, needle):
"""
:type haystack: str
:type needle: str
:rtype: int
"""
m,n=len(haystack),len(needle)
for i in range(m):
if haystack[i:i+n]==needle:
return i
return -1
```
```python
// 方法一
class Solution:

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@ -171,6 +171,30 @@ class Solution:
return res
```
```python3
class Solution:
def spiralOrder(self, matrix: List[List[int]]) -> List[int]:
r=len(matrix)
if r == 0 or len(matrix[0])==0:
return []
c=len(matrix[0])
res=matrix[0]
if r>1:
for i in range (1,r):
res.append(matrix[i][c-1])
for j in range(c-2, -1, -1):
res.append(matrix[r-1][j])
if c>1:
for i in range(r-2, 0, -1):
res.append(matrix[i][0])
M=[]
for k in range(1, r-1):
e=matrix[k][1:-1]
M.append(e)
return res+self.spiralOrder(M)
```
-----------------------
<div align="center"><img src=https://code-thinking.cdn.bcebos.com/pics/01二维码一.jpg width=500> </img></div>

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@ -179,8 +179,27 @@ class Solution:
index += 1
return 0 if res==float("inf") else res
```
```python3
#滑动窗口
class Solution:
def minSubArrayLen(self, target: int, nums: List[int]) -> int:
if nums is None or len(nums)==0:
return 0
lenf=len(nums)+1
total=0
i=j=0
while (j<len(nums)):
total=total+nums[j]
j+=1
while (total>=target):
lenf=min(lenf,j-i)
total=total-nums[i]
i+=1
if lenf==len(nums)+1:
return 0
else:
return lenf
```
Go
```go
func minSubArrayLen(target int, nums []int) int {

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@ -218,59 +218,41 @@ class Solution {
```python
#数组模拟
class Solution:
def isPalindrome(self, head: ListNode) -> bool:
length = 0
tmp = head
while tmp: #求链表长度
length += 1
tmp = tmp.next
result = [0] * length
tmp = head
index = 0
while tmp: #链表元素加入数组
result[index] = tmp.val
index += 1
tmp = tmp.next
i, j = 0, length - 1
while i < j: # 判断回文
if result[i] != result[j]:
def isPalindrome(self, head: Optional[ListNode]) -> bool:
list=[]
while head:
list.append(head.val)
head=head.next
l,r=0, len(list)-1
while l<=r:
if list[l]!=list[r]:
return False
i += 1
j -= 1
l+=1
r-=1
return True
#反转后半部分链表
class Solution:
def isPalindrome(self, head: ListNode) -> bool:
if head == None or head.next == None:
return True
slow, fast = head, head
def isPalindrome(self, head: Optional[ListNode]) -> bool:
fast = slow = head
# find mid point which including (first) mid point into the first half linked list
while fast and fast.next:
pre = slow
slow = slow.next
fast = fast.next.next
slow = slow.next
node = None
pre.next = None # 分割链表
cur1 = head # 前半部分
cur2 = self.reverseList(slow) # 反转后半部分总链表长度如果是奇数cur2比cur1多一个节点
while cur1:
if cur1.val != cur2.val:
# reverse second half linked list
while slow:
slow.next, slow, node = node, slow.next, slow
# compare reversed and original half; must maintain reversed linked list is shorter than 1st half
while node:
if node.val != head.val:
return False
cur1 = cur1.next
cur2 = cur2.next
node = node.next
head = head.next
return True
def reverseList(self, head: ListNode) -> ListNode:
cur = head
pre = None
while(cur!=None):
temp = cur.next # 保存一下cur的下一个节点
cur.next = pre # 反转
pre = cur
cur = temp
return pre
```
### Go

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@ -220,18 +220,20 @@ class Solution:
(版本二)左闭右开区间
```python
class Solution:
```class Solution:
def search(self, nums: List[int], target: int) -> int:
left,right =0, len(nums)
while left < right:
mid = (left + right) // 2
if nums[mid] < target:
left = mid+1
elif nums[mid] > target:
right = mid
if nums is None or len(nums)==0:
return -1
l=0
r=len(nums)-1
while (l<=r):
m = round(l+(r-l)/2)
if nums[m] == target:
return m
elif nums[m] > target:
r=m-1
else:
return mid
l=m+1
return -1
```

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@ -129,29 +129,21 @@ class Solution {
```
### Python
```python
class Solution:
def isLongPressedName(self, name: str, typed: str) -> bool:
i, j = 0, 0
m, n = len(name) , len(typed)
while i< m and j < n:
if name[i] == typed[j]: # 相同时向后匹配
i += 1
j += 1
else: # 不相同
if j == 0: return False # 如果第一位不相同直接返回false
# 判断边界为n-1,若为n会越界,例如name:"kikcxmvzi" typed:"kiikcxxmmvvzzz"
while j < n - 1 and typed[j] == typed[j-1]: j += 1
if name[i] == typed[j]:
i += 1
j += 1
else: return False
# 说明name没有匹配完
if i < m: return False
# 说明type没有匹配完
while j < n:
if typed[j] == typed[j-1]: j += 1
else: return False
return True
i = j = 0
while(i<len(name) and j<len(typed)):
# If the current letter matches, move as far as possible
if typed[j]==name[i]:
while j+1<len(typed) and typed[j]==typed[j+1]:
j+=1
# special case when there are consecutive repeating letters
if i+1<len(name) and name[i]==name[i+1]:
i+=1
else:
j+=1
i+=1
else:
return False
return i == len(name) and j==len(typed)
```
### Go

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@ -41,6 +41,15 @@ public:
}
};
```
```python3
class Solution:
def sortedSquares(self, nums: List[int]) -> List[int]:
res=[]
for num in nums:
res.append(num**2)
return sorted(res)
```
这个时间复杂度是 O(n + nlogn) 可以说是O(nlogn)的时间复杂度但为了和下面双指针法算法时间复杂度有鲜明对比我记为 O(n + nlog n)

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@ -160,6 +160,8 @@ class Solution:
那么,只要其中一个链表走完了,就去走另一条链表的路。如果有交点,他们最终一定会在同一个
位置相遇
"""
if headA is None or headB is None:
return None
cur_a, cur_b = headA, headB # 用两个指针代替a和b