leetcode

 

class Solution(object):
    def myAtoi(self, str):
        """
        :type str: str
        :rtype: int
        """
        flag=False
        ret=0
        pos=1
        for s in str:
            if s==' ' and not flag:
                continue
            if s=='+'or s=='-':
                if flag:
                    break
                if s=='-':
                    pos=-1
                flag=True
                
            elif s>='0' and s<='9':
                ret=ret*10+int(s)
                flag=True
            else:
                break
        return pos*min(ret,2**31-1) if pos==1 else pos*min(ret,2**31)

 

 

 

29. Divide Two Integers

用减法来做

减少运算量的技巧:每一次迭代都采用滚筒操作

class Solution:
    def divide(self, dividend, divisor):
        """
        :type dividend: int
        :type divisor: int
        :rtype: int
        """
        pos=True if (dividend>0 and divisor>0) or (dividend<0 and divisor<0) else False
        dividend=abs(dividend)
        divisor=abs(divisor)
        if divisor==1:
            return self.output(dividend,pos)
        ret=0
        while dividend>=divisor:
            multi_divisor=divisor
            multi_ret=1
            while dividend-multi_divisor>=multi_divisor:
                multi_ret=multi_ret+multi_ret
                multi_divisor=multi_divisor+multi_divisor
            ret+=multi_ret
            dividend-=multi_divisor
            
        return self.output(ret,pos)

    def output(self,ret,pos):
        if pos:
            return min(ret,2**31-1)
        else:
            return -min(ret,2**31)

654. Maximum Binary Tree

# Definition for a binary tree node.
# class TreeNode(object):
#     def __init__(self, x):
#         self.val = x
#         self.left = None
#         self.right = None

class Solution(object):
    def constructMaximumBinaryTree(self, nums):
        """
        :type nums: List[int]
        :rtype: TreeNode
        """
        if len(nums)==0:
            return None
        maxnum=max(nums)
        root=TreeNode(maxnum)
        maxind=nums.index(maxnum)
        root.left=self.constructMaximumBinaryTree(nums[:maxind])
        root.right=self.constructMaximumBinaryTree(nums[maxind+1:])
        return root


       

807. Max Increase to Keep City Skyline

找行列的最大值,然后diff就是行列最大值中的最小值与当前位置的差

class Solution:
    def maxIncreaseKeepingSkyline(self, grid):
        """
        :type grid: List[List[int]]
        :rtype: int
        """
        max_x=[]
        max_y=[]
        for g in grid:
            max_x.append(max(g))
        for g in zip(*grid):
            max_y.append(max(g))
        ret=0
        for i in range(len(grid)):
            for j in range(len(grid[0])):
                ret+=min(max_x[i],max_y[j])-grid[i][j]
        return ret

814. Binary Tree Pruning

# Definition for a binary tree node.
# class TreeNode(object):
#     def __init__(self, x):
#         self.val = x
#         self.left = None
#         self.right = None

class Solution(object):
    def pruneTree(self, root):
        """
        :type root: TreeNode
        :rtype: TreeNode
        """
        if root==None:
            return None
        #先操作
        root.right=self.pruneTree(root.right)
        root.left=self.pruneTree(root.left)
        #再换
        if root.val==0 and root.left==None and root.right==None:
            return None
        return root

861. Score After Flipping Matrix

贪心算法,贪心规则第一列全为1(不是就换),其余列尽量多的取1(每一列的1取翻转前后的最大值)。

class Solution(object):
    def matrixScore(self, A):
        """
        :type A: List[List[int]]
        :rtype: int
        """
        for i in range(len(A)):
            if A[i][0]==0:
                A[i]=[1-j for j in A[i]]
        ret=0
        for i in range(len(A[0])):
            col=[A[j][i] for j in range(len(A))]
            ret+= max(sum(col),len(A)-sum(col))*(2**(len(A[0])-i-1))
        return ret
    

797. All Paths From Source to Target

深度优先搜索

class Solution(object):
    def allPathsSourceTarget(self, graph):
        """
        :type graph: List[List[int]]
        :rtype: List[List[int]]
        """
        def dfs( node, path):
            if node==len(graph)-1:
                res.append( path + [node])
                return
            for child in graph[node]:
                dfs( child, path + [node])
        res=[]
        dfs(0,[])
        return res
            
        
        

 

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