Datasets:

CoIR-Retrieval

/

apps-queries-corpus

like 0

d101

train

n = int(input()) for _ in range(n): a, b, c = list(map(int, input().split())) print(min((a+b+c)//2, a+b, a+c, b+c))

PYTHON

d102

train

import os from io import BytesIO # input = BytesIO(os.read(0, os.fstat(0).st_size)).readline for i in range(int(input())): a, b, c, r = list(map(int, input().split())) a, b = min(a, b), max(a, b) left = max(c - r, a) right = min(c + r, b) if right >= a and left <= right: print(b - a - (right - left)) else: print(b - a)

PYTHON

d103

train

s = [] for i in range(1, 10): k = 0 for l in range(1, 10): k *= 10 k += i s.append(k) s.sort() q = int(input()) while q: n = int(input()) l = 0 r = len(s) while l + 1 < r: m = (l + r) // 2 if s[m] <= n: l = m else: r = m print(r) q -= 1

PYTHON

d104

train

t = int(input()) for _ in range(t): n, m = [int(x) for x in input().split()] grid = [[int(x) for x in input().split()] for _ in range(n)] rows = sum(1 for x in grid if all(y == 0 for y in x)) cols = sum(1 for j in range(m) if all(grid[i][j] == 0 for i in range(n))) res = min(rows, cols) print("Ashish" if res % 2 else "Vivek")

PYTHON

d105

train

from sys import stdin input = stdin.readline q = int(input()) for rwerew in range(q): n = int(input()) p = list(map(int,input().split())) c = list(map(int,input().split())) for i in range(n): p[i] -= 1 przyn = [0] * n grupa = [] i = 0 while i < n: if przyn[i] == 1: i += 1 else: nowa_grupa = [i] j = p[i] przyn[i] = 1 while j != i: przyn[j] = 1 nowa_grupa.append(j) j = p[j] grupa.append(nowa_grupa) grupacol = [] for i in grupa: cyk = [] for j in i: cyk.append(c[j]) grupacol.append(cyk) #print(grupacol) mini = 234283742834 for cykl in grupacol: dziel = [] d = 1 while d**2 <= len(cykl): if len(cykl)%d == 0: dziel.append(d) d += 1 dodat = [] for d in dziel: dodat.append(len(cykl)/d) dziel_ost = list(map(int,dziel + dodat)) #print(dziel_ost, len(cykl)) for dzielnik in dziel_ost: for i in range(dzielnik): indeks = i secik = set() chuj = True while indeks < len(cykl): secik.add(cykl[indeks]) indeks += dzielnik if len(secik) > 1: chuj = False break if chuj: mini = min(mini, dzielnik) print(mini)

PYTHON

d106

train

import math t = int(input()) for test in range(t): n,k = map(int,input().split()) A = list(map(int,input().split())) A.sort() ans = 0 for i in range(1,n): if(A[i]>k): ans = 0 break rem = k-A[i] ans+=rem//A[0] print(ans)

PYTHON

d107

train

t = int(input()) for ti in range(t): n = int(input()) lri = [None for _ in range(n)] for _ in range(n): li, ri = list(map(int, input().split())) lri[_] = (li, ri, _) lri.sort() t = [None for _ in range(n)] ct, t[lri[0][2]], eg = 1, 1, lri[0][1] for i in range(1, n): if lri[i][0] <= eg: t[lri[i][2]] = ct eg = max(eg, lri[i][1]) else: ct = 3 - ct t[lri[i][2]] = ct eg = lri[i][1] if all(ti == 1 for ti in t): print(-1) else: print(*t)

PYTHON

d108

train

t = int(input()) for _ in range(t): a, b, c, d = [int(i) for i in input().split(" ")] sgn = (a+b)%2 small = False large = False if a == 0 and d == 0: small = True if b == 0 and c == 0: large = True okay = [True] * 4 if sgn == 0: okay[0] = False okay[1] = False else: okay[2] = False okay[3] = False if small: okay[0] = False okay[3] = False if large: okay[1] = False okay[2] = False print(" ".join(["Ya" if okay[i] else "Tidak" for i in range(4)]))

PYTHON

d109

train

for _ in range(int(input())): n=int(input()) li=list(map(int,input().split())) ans=0 for i in range(n): if li[i]>=i: ans+=1 else: break for i in range(n): if li[n-1-i]>=i: ans+=1 else: break if ans>n: print("Yes") else: print("No")

PYTHON

d110

train

import sys import math from collections import defaultdict from collections import deque from itertools import combinations from itertools import permutations input = lambda : sys.stdin.readline().rstrip() read = lambda : list(map(int, input().split())) go = lambda : 1/0 def write(*args, sep="\n"): for i in args: sys.stdout.write("{}{}".format(i, sep)) INF = float('inf') MOD = int(1e9 + 7) YES = "YES" NO = -1 for _ in range(int(input())): try: n, m = read() arr = read() x = [0] * 65 if sum(arr) < n: print(NO) go() for i in arr: x[int(math.log2(i))] += 1 ans = 0 for i in range(65): if (1 << i) & n: if x[i] != 0: x[i] -= 1 continue total = 0 for j in range(i): total += (1 << j) * x[j] if total >= (1 << i): temp = 1 << i for j in reversed(range(i)): while temp - (1 << j) >= 0 and x[j] > 0: temp -= 1 << j x[j] -= 1 continue j = i while j < 65 and x[j] == 0: j += 1 if j == 65: print(NO) go() else: x[j] -= 1 for k in range(i, j): x[k] += 1 ans += (j - i) print(ans) except ZeroDivisionError: continue except Exception as e: print(e) continue

PYTHON

d111

train

for _ in range(int(input())): n, k = tuple(map(int, input().split())) arr = list(map(int, input().split())) peaks = [0 for i in range(n)] for i in range(1, n - 1): if arr[i] > arr[i - 1] and arr[i] > arr[i + 1]: peaks[i] = 1 cnt = 0 max_peaks = 0 answer = 0 for i in range(k - 1): cnt += peaks[i] max_peaks += peaks[i] for i in range(k - 1, n - 1): cnt -= peaks[i - k + 2] cnt += peaks[i] if cnt > max_peaks: max_peaks = cnt answer = i - k + 2 print(max_peaks + 1, answer + 1)

PYTHON

d112

train

#!/usr/bin/env python # coding:utf-8 # Copyright (C) dirlt from sys import stdin def run(n, m, pixels): ans = 1 << 30 acc = [[0] * (m + 1) for _ in range(n + 1)] for i in range(n): for j in range(m): acc[i + 1][j + 1] = acc[i + 1][j] + int(pixels[i][j]) for j in range(m): acc[i + 1][j + 1] += acc[i][j + 1] # print(acc) for k in range(2, max(n, m) + 1): r, c = (n + k - 1) // k, (m + k - 1) // k res = 0 for i in range(r): for j in range(c): x, y = i * k, j * k x2, y2 = min(x + k - 1, n - 1), min(y + k - 1, m - 1) zero = acc[x2 + 1][y2 + 1] - acc[x][y2 + 1] - acc[x2 + 1][y] + acc[x][y] # print(x, y, k, zero, k * k - zero) res += min(zero, k * k - zero) # print(k, res) ans = min(ans, res) print(ans) def main(): n, m = [int(x) for x in stdin.readline().split()] pixels = [] for i in range(n): pixels.append(stdin.readline().strip()) run(n, m, pixels) def __starting_point(): import os if os.path.exists('tmp.in'): stdin = open('tmp.in') main() __starting_point()

PYTHON

d113

train

import math def lexComp(a, b): if a[0] != b[0]: return -1 if a[0] < b[0] else 1 if a[1] != b[1]: return -1 if a[1] < b[1] else 1 return 0 def turn(a, b, c): return (b[0] - a[0]) * (c[1] - b[1]) - (b[1] - a[1]) * (c[0] - b[0]) def dist2(a, b): return (a[0] - b[0]) ** 2 + (a[1] - b[1]) ** 2 def solve(n): a = [list(map(int, input())) for _ in range(n)] points = [] for i in range(n): for j in range(n): if a[i][j] == 1: curPoints = [] for dx in range(0, 2): for dy in range(0, 2): ok = True for ddx in range(0, 2): for ddy in range(0, 2): x, y = i - 1 + dx + ddx, j - 1 + dy + ddy if 0 <= x < n and 0 <= y < n and a[x][y] == 0: ok = False if ok: curPoints.append((i + dx, j + dy)) points.append(curPoints[0]) points = list(set(points)) for i in range(1, len(points)): if lexComp(points[0], points[i]) > 0: points[0], points[i] = points[i], points[0] points[1:] = sorted(points[1:], key=lambda p: (math.atan2(p[1] - points[0][1], p[0] - points[0][0]), dist2(p, points[0]))) hull = [] for p in points: while len(hull) >= 2 and turn(hull[-2], hull[-1], p) <= 0: hull.pop() hull.append(p) hull = [(p[1], n - p[0]) for p in hull] hull = hull[::-1] start = 0 for i in range(1, len(hull)): if lexComp(hull[i], hull[start]) < 0: start = i newHull = hull[start:] newHull.extend(hull[:start]) hull = newHull print(len(hull)) for p in hull: print(p[0], p[1]) while True: n = int(input()) if n == 0: break solve(n)

PYTHON

d114

train

import math from decimal import Decimal import heapq from collections import deque def na(): n = int(input()) b = [int(x) for x in input().split()] return n,b def nab(): n = int(input()) b = [int(x) for x in input().split()] c = [int(x) for x in input().split()] return n,b,c def dv(): n, m = list(map(int, input().split())) return n,m def dva(): n, m = list(map(int, input().split())) a = [int(x) for x in input().split()] b = [int(x) for x in input().split()] return n,m,b def eratosthenes(n): sieve = list(range(n + 1)) for i in sieve: if i > 1: for j in range(i + i, len(sieve), i): sieve[j] = 0 return sorted(set(sieve)) def lol(lst,k): k=k%len(lst) ret=[0]*len(lst) for i in range(len(lst)): if i+k<len(lst) and i+k>=0: ret[i]=lst[i+k] if i+k>=len(lst): ret[i]=lst[i+k-len(lst)] if i+k<0: ret[i]=lst[i+k+len(lst)] return(ret) def nm(): n = int(input()) b = [int(x) for x in input().split()] m = int(input()) c = [int(x) for x in input().split()] return n,b,m,c def dvs(): n = int(input()) m = int(input()) return n, m def fact(a, b): c = [] ans = 0 f = int(math.sqrt(a)) for i in range(1, f + 1): if a % i == 0: c.append(i) l = len(c) for i in range(l): c.append(a // c[i]) for i in range(len(c)): if c[i] <= b: ans += 1 if a / f == f and b >= f: return ans - 1 return ans t = int(input()) for i in range(t): a ,b = list(map(int, input().split())) if a == b: print(0) else: d = abs(a - b) k1 = d//5 d -= k1 *5 k2 = d // 2 d -= k2 * 2 print(d + k1 + k2)

PYTHON

d115

train

import sys input = sys.stdin.readline import bisect t=int(input()) for testcases in range(t): n=int(input()) A=list(map(int,input().split())) m=int(input()) PS=[tuple(map(int,input().split())) for i in range(m)] PS.sort() K=[PS[-1]] for a,b in PS[::-1][1:]: if b<=K[-1][1]: continue else: K.append((a,b)) K.reverse() ANS=1 count=0 countmax=n+1 LEN=len(K) for a in A: x=bisect.bisect_left(K,(a,0)) if x==LEN: print(-1) break elif K[x][1]>=count+1 and countmax>=count+1: count+=1 countmax=min(countmax,K[x][1]) else: ANS+=1 count=1 countmax=K[x][1] #print(a,count,countmax,ANS) else: print(ANS)

PYTHON

d116

train

class BIT(): def __init__(self,n): self.BIT=[0]*(n+1) self.num=n def query(self,idx): res_sum = 0 while idx > 0: res_sum += self.BIT[idx] idx -= idx&(-idx) return res_sum #Ai += x O(logN) def update(self,idx,x): while idx <= self.num: self.BIT[idx] += x idx += idx&(-idx) return import sys,heapq,random input=sys.stdin.readline n=int(input()) spell=[tuple(map(int,input().split())) for i in range(n)] S=set([]) for i in range(n): S.add(abs(spell[i][1])) S=list(S) S.sort(reverse=True) comp={i:e+1 for e,i in enumerate(S)} N=len(S) x_exist=BIT(N) y_exist=BIT(N) power=BIT(N) X,Y,S=0,0,0 Xmax=[] Ymin=[] x_data=[0]*(N+1) y_data=[0]*(N+1) for i in range(n): t,d=spell[i] S+=d if d<0: id=comp[-d] if t==0: X-=1 x_exist.update(id,-1) power.update(id,d) x_data[id]-=1 else: Y-=1 y_exist.update(id,-1) power.update(id,d) y_data[id]-=1 else: id=comp[d] if t==0: X+=1 x_exist.update(id,1) power.update(id,d) heapq.heappush(Xmax,-d) x_data[id]+=1 else: Y+=1 y_exist.update(id,1) power.update(id,d) heapq.heappush(Ymin,d) y_data[id]+=1 if X==0: if Y==0: print(0) else: while not y_data[comp[Ymin[0]]]: heapq.heappop(Ymin) print(2*S-Ymin[0]) else: if Y==0: print(S) else: start=0 end=N while end-start>1: test=(end+start)//2 if x_exist.query(test)+y_exist.query(test)<=Y: start=test else: end=test if y_exist.query(start)!=Y: print(S+power.query(start)) else: while not y_data[comp[Ymin[0]]]: heapq.heappop(Ymin) while not x_data[comp[-Xmax[0]]]: heapq.heappop(Xmax) print(S+power.query(start)-Ymin[0]-Xmax[0])

PYTHON

d117

train

for nt in range(int(input())): n=int(input()) l=list(map(int,input().split())) s=sum(l) e=l[0] for i in range(1,n): e=e^l[i] if s==2*e: print(0) print () else: print(2) print(e,s+e)

PYTHON

d118

train

from sys import stdin input = stdin.readline tests = int(input()) for test in range(tests): n, m = list(map(int, input().split())) a = [[0] * m for _ in range(n)] r = [[int(i) for i in input().split()] for _ in range(n)] c = [[int(i) for i in input().split()] for _ in range(m)] z = [[-1, -1] for _ in range(n * m + 1)] for i in range(n): for j in range(m): z[r[i][j]][0] = j for i in range(m): for j in range(n): z[c[i][j]][1] = j for i in range(1, n * m + 1): a[z[i][1]][z[i][0]] = i for i in a: print(' '.join([str(j) for j in i]))

PYTHON

d119

train

__MULTITEST = True ## solve def solve(): n, x = map(int, input().split()) a = list(map(int, input().split())) a.sort() group = 0 ptr = n-1 members = 0 currentMin = int(1e10) while ptr > -1: currentMin = min(currentMin, a[ptr]) members += 1 if currentMin * members >= x: group += 1 members = 0 currentMin = int(1e10) ptr -= 1 print(group) ## main def __starting_point(): t = (int(input()) if __MULTITEST else 1) for tt in range(t): solve(); __starting_point()

PYTHON

d120

train

import sys input = sys.stdin.readline t = int(input()) for _ in range(t): n = int(input()) ab = [list(map(int,input().split())) for i in range(n-1)] graph = [[] for i in range(n+1)] deg = [0]*(n+1) for a,b in ab: graph[a].append(b) graph[b].append(a) deg[a] += 1 deg[b] += 1 pnt = [max(deg[i]-1,1) for i in range(n+1)] root = 1 stack = [root] dist = [0]*(n+1) dist[root] = pnt[root] while stack: x = stack.pop() for y in graph[x]: if dist[y] == 0: dist[y] = dist[x]+pnt[y] stack.append(y) far = dist.index(max(dist)) root = far stack = [root] dist = [0]*(n+1) dist[root] = pnt[root] while stack: x = stack.pop() for y in graph[x]: if dist[y] == 0: dist[y] = dist[x]+pnt[y] stack.append(y) print(max(dist))

PYTHON

d121

train

import sys input = sys.stdin.readline t=int(input()) def calc(x): return x*(x+1)//2 for test in range(t): n,m=list(map(int,input().split())) ANS=calc(n) k=n-m q,mod=divmod(k,m+1) ANS-=calc(q+1)*mod+calc(q)*(m+1-mod) print(ANS)

PYTHON

d122

train

for _ in range(int(input())): n = int(input()) ar = list(map(int, input().split())) ar.sort() print(abs(ar[n] - ar[n - 1]))

PYTHON

d123

train

class Solution: def maxScore(self, cardPoints: List[int], k: int) -> int: max_score = 0 curr_score= 0 init_hand = cardPoints[len(cardPoints)-k:] max_score = sum(init_hand) curr_score = max_score for i in range(k): curr_score -= init_hand[i] curr_score += cardPoints[i] if curr_score > max_score: max_score = curr_score return max_score

PYTHON

d124

train

import math class Solution: def numMusicPlaylists(self, N: int, L: int, K: int) -> int: s=0 c=0 r=0 x=math.factorial(N) while(True): c=x*((N-r-K)**(L-K))*(-1)**(r)//(math.factorial(N-r-K)*math.factorial(r)) if(c!=0): s=(s+c)%(10**9+7) r+=1 else: return s

PYTHON

d125

train

class Solution: def search(self, nums, target): """ :type nums: List[int] :type target: int :rtype: bool """ return target in nums

PYTHON

d126

train

class Solution: def superPow(self, a, b): result = 1 fermatb = (int(''.join(map(str, b)))) % 570 while fermatb: if fermatb & 1: result = (result * a) % 1337 a = (a * a) % 1337 fermatb >>= 1 return result

PYTHON

d127

train

class Solution: def maxFreq(self, s: str, maxLetters: int, minSize: int, maxSize: int) -> int: n = len(s) count = collections.Counter(s[i : i + minSize] for i in range(0, n - minSize + 1)) res = 0 for k, v in count.items(): if len(set(k)) <= maxLetters: res = max(res, v) return res

PYTHON

d128

train

class Solution: def profitableSchemes(self, G: int, P: int, group: List[int], profit: List[int]) -> int: MOD = 10**9 + 7 group_len, profit_len = len(group),len(profit) dp = [[0]*(G+1) for _ in range(P+1)] dp[0][0] = 1 for pro, gro in zip(profit,group): dp2 = [x[:] for x in dp] for p1 in range(P+1): p = min(pro + p1,P) for g1 in range(G+1-gro): g = g1 + gro dp2[p][g] += dp[p1][g1] dp2[p][g] %= MOD dp = dp2 return sum(dp[-1]) %MOD

PYTHON

d129

train

class Solution: def calculate(self, s): """ :type s: str :rtype: int """ res = 0 num = 0 sign = 1 stk = [] for c in s: if c.isdigit(): num = 10 * num + (ord(c) - ord('0')) elif c == '+': res += sign * num num = 0 sign = 1 elif c == '-': res += sign * num num = 0 sign = -1 elif c == '(': stk.append(res) stk.append(sign) res = 0 sign = 1 elif c == ')': res += sign * num res *= stk.pop() res += stk.pop() num = 0 sign = 1 if num: res += sign * num return res

PYTHON

d130

train

class Solution: def maxScoreSightseeingPair(self, A: List[int]) -> int: curmaxsight = A[0] - 1 curmaxpair = 0 for sight in A[1:]: if sight + curmaxsight > curmaxpair: curmaxpair = sight + curmaxsight if sight > curmaxsight: curmaxsight = sight curmaxsight -= 1 return curmaxpair

PYTHON

d131

train

class Solution: def numberOfArrays(self, s: str, k: int) -> int: dp = [-1] * len(s) return self.dfs(s, k, 0, dp) def dfs(self, s: str, k: int, start: int, dp: List[int]) -> int: if start == len(s): return 1 if s[start] == '0': return 0 if dp[start] != -1: return dp[start] res, num = 0, 0 for i in range(start, len(s)): num = num * 10 + (ord(s[i]) - ord('0')) if num > k: break res += self.dfs(s, k, i + 1, dp) res %= 10**9 + 7 dp[start] = res return res

PYTHON

d132

train

class Solution(object): def parse(self,expression,d,i): count = 0 start = i if expression[i] == "(": count += 1 i += 1 while count != 0: if expression[i] == "(": count += 1 elif expression[i] == ")": count -= 1 i += 1 val = self.evaluate(expression[start:i],d) else: while i < len(expression) and expression[i] != " " and expression[i] != ")": i += 1 val = expression[start:i] if self.isnumber(val): val = int(val) return i,val def get_left_right(self,expression,d): i = 0 count = 0 i,left = self.parse(expression,d,0) if i == len(expression) or expression[i] == ")": return left,None,i i += 1 i,right = self.parse(expression,d,i) return left,right,i def isnumber(self,s): for c in s: if ord("0") <= ord(c) <= ord("9") or c == "+" or c == "-": continue else: return False return True def evaluate(self, expression,d = {}): """ :type expression: str :rtype: int """ if self.isnumber(expression): return int(expression) newd = {} for key in d: newd[key] = d[key] expression = expression[1:len(expression)-1] oper = "" if expression[0:3] == "add" or expression[:3] == "let": oper = expression[0:3] expression = expression[4:] else: oper = "mult" expression = expression[5:] if oper == "mult" or oper == "add": left,right,_ = self.get_left_right(expression,newd) if isinstance(left,str): left = newd[left] if isinstance(right,str): right = newd[right] if oper == "mult": return left*right else: return left + right i = 0 while True: left,right,i = self.get_left_right(expression,newd) expression = expression[i+1:] if right == None: if isinstance(left,str): return newd[left] return left if isinstance(right,str): right = newd[right] newd[left] = right # s = Solution() # print(s.evaluate("(let x 2 (mult x (let x 3 y 4 (add x y))))"))

PYTHON

d133

train

class Solution: def mincostTickets(self, days: List[int], costs: List[int]) -> int: dp = [0] + [-1 for i in range(days[-1])] for day in days: dp[day] = 0 for i in range(1, len(dp)): if dp[i] == -1: dp[i] = dp[i-1] else: dp[i] = min( dp[i-1] + costs[0], dp[max(i-7, 0)] + costs[1], dp[max(i-30, 0)] + costs[2], ) return dp[-1]

PYTHON

d134

train

class Solution: def balancedString(self, s: str) -> int: # minimum window so that outside is possible if len(s) //4 != len(s) / 4: return -1 ans, lb, n_cnt = len(s), 0, collections.Counter(s) i = 0 while i < len(s): n_cnt[s[i]] -= 1 while lb < len(s) and all(len(s) / 4 >= n_cnt[c] for c in 'QWER'): ans = min(ans, abs(i - lb + 1)) if ans == 0: return 0 n_cnt[s[lb]] += 1 lb += 1 # here is actually a swap? if lb > i: i, lb = lb, i i +=1 return ans

PYTHON

d135

train

class Solution: def numDupDigitsAtMostN(self, N: int) -> int: # N -> total numbers less than or equal to N # We will calculate the integers with all different digits (which are less than/equal to N) # Then the answer would be: N - nums_with_different_digits # Calculate the number of digits in N NN, dd = N, 0 nums = [] # store the digits while(NN): dd += 1 nums.append(NN % 10) NN //= 10 nums.reverse() # numbers with less digits than that of N numbers = 0 for i in range(dd-1): numbers += 9 * (math.factorial(9) // math.factorial(9-i)) # find the N-digit numbers (all-different) already_visited_digits = set() def fac2(n, k): return math.factorial(n) // math.factorial(n-k) for i,n in enumerate(nums): k = 0 for j in range((1 if i==0 else 0), (n+1 if i==dd-1 else n)): if(j in already_visited_digits): continue k += 1 numbers += k * fac2(10-i-1, dd-i-1) if n in already_visited_digits: # All the numbers with this prefix will have at least one common digit break already_visited_digits.add(n) return N - numbers

PYTHON

d136

train

class Solution: def validateStackSequences(self, pushed: List[int], popped: List[int]) -> bool: j = 0 l = [] for i in pushed: l.append(i) while l and (l[-1] == popped[j]): l.pop() j += 1 if l: return False return True

PYTHON

d137

train

class Solution: def maxIncreaseKeepingSkyline(self, grid: List[List[int]]) -> int: # Pad with inf to make implementation easier INF = -10_000 n = len(grid) total = 0 max_rows = [max(row, default=INF) for row in grid] # Transpose the grid to make max less cumbersome max_cols = [max(col, default=INF) for col in zip(*grid)] for i, best_row in enumerate(max_rows): for j, best_col in enumerate(max_cols): new_height = min(best_row, best_col) total += new_height - grid[i][j] return total

PYTHON

d138

train

class Solution: def minimumOneBitOperations(self, n: int) -> int: s = 0 m = n while m: s += m & 1 m >>= 1 k = 1 while s: s -= bool(n & k) n ^= (s & 1) and k k <<= 1 return n

PYTHON

d139

train

class Solution: def getMaxLen(self, nums: List[int]) -> int: maxx = 0 nums.append(0) # starting position # where we find a 0 i = -1 minusarr = [] for j,n in enumerate(nums): if n == 0: # now figure out previous ones tot = j-i-1 if not minusarr or len(minusarr)%2 == 0: maxx = max(maxx, tot) else: # drop the first or last 0 left = minusarr[0]-i right = j-minusarr[-1] maxx = max(maxx, tot - min(left, right)) # reinitiate minusarr = [] i = j elif n < 0: minusarr.append(j) return maxx

PYTHON

d140

train

class Solution: def minDeletionSize(self, A: List[str]) -> int: def isSorted(arr, i, j): return all(arr[k] <= arr[k+1] for k in range(i, j)) ans = 0 ranges = [[0, len(A)-1]] for col in zip(*A): if not ranges: break if all(isSorted(col, i, j) for i, j in ranges): tmp = [] for i, j in ranges: start = i for k in range(i, j+1): if col[k] != col[start]: if k - start > 1: tmp.append([start, k-1]) start = k if j + 1 - start > 1: tmp.append([start, j]) start = k ranges[:] = tmp else: ans += 1 return ans

PYTHON

d141

train

class Solution: def findMaximumXOR(self, nums): """ :type nums: List[int] :rtype: int """ ans = 0 for bit in range(31, -1, -1) : ans = (ans << 1) + 1 pre = set() for n in nums : p = (n >> bit) & ans if p in pre : break pre.add(ans - p) else : ans -= 1 return ans

PYTHON

d142

train

class Solution: def numRescueBoats(self, people: List[int], limit: int) -> int: people.sort() lo = 0 hi = len(people) - 1 count = 0 while lo <= hi: count += 1 if people[lo] + people[hi] <= limit: lo += 1 hi -= 1 return count

PYTHON

d143

train

class Solution: def findLUSlength(self, strs): """ :type strs: List[str] :rtype: int """ def isSubseq(s1, s2): i, m=0, len(s1) for c in s2: if i==m: return True if s1[i]==c: i+=1 return i==m strs.sort(key=len, reverse=True) for i, s1 in enumerate(strs): if all(not isSubseq(s1, s2) for j, s2 in enumerate(strs) if i!=j): return len(s1) return -1

PYTHON

d144

train

class Solution: def totalFruit(self, tree: List[int]) -> int: prior_fruit = tree[0] prior_fruit_counter = 0 fruits_in_basket = [tree[0]] fruits_in_basket_counter = 0 max_fib = -1 for fruit in tree: if prior_fruit == fruit: prior_fruit_counter += 1 fruits_in_basket_counter += 1 elif prior_fruit != fruit: if fruit in fruits_in_basket: fruits_in_basket_counter += 1 else: fruits_in_basket, fruits_in_basket_counter = [prior_fruit, fruit], prior_fruit_counter + 1 prior_fruit, prior_fruit_counter = fruit, 1 if fruits_in_basket_counter > max_fib: max_fib = fruits_in_basket_counter return max_fib

PYTHON

d145

train

class Solution: def minSteps(self, n): """ :type n: int :rtype: int """ primeFactors=[] for i in range(2,int(n**.5)+1): while n%i==0: primeFactors.append(i) n=n//i if n>1: primeFactors.append(n) return sum(primeFactors)

PYTHON

d146

train

class Solution(object): def judgePoint24(self, nums): bad = '떢븻각걎냇갅갸꺚뵟숣욄뵴뵞뤼갈갌뤔떌옊메늄숭캸긶꺛옖갍뇐쩢곴듇걯궄옕왹눞솴걃끗긬땉궿가쌀낐걄숤뺴늘걘꽸숢걂갋갃쫐꼔솾쩡쇔솿끛뤜간븺쩬웨딴옠뤛갂뵪덠놤빐옋귒늂갰갖놥궾갆옌뼘묰거갎긷낤겼' return chr(int(''.join(map(str, sorted(nums)))) + 42921) not in bad

PYTHON

d147

train

class Solution: def decodeString(self, s): """ :type s: str :rtype: str """ stack = [] stack.append(["", 1]) num = "" for ch in s: if ch.isdigit(): num += ch elif ch == '[': stack.append(["", int(num)]) num = "" elif ch == ']': st, k = stack.pop() stack[-1][0] += st*k else: stack[-1][0] += ch return stack[0][0]

PYTHON

d148

train

class Solution: def maxPerformance(self, n: int, speed: List[int], efficiency: List[int], k: int) -> int: mod = 10**9+7 order = sorted(range(n), key=lambda i: efficiency[i], reverse=True) heap = [] filled = 0 rec = 0 speed_sum = 0 for i in order: if filled < k: heapq.heappush(heap, speed[i]) filled += 1 speed_sum += speed[i] else: removed = heapq.heappushpop(heap, speed[i]) speed_sum += speed[i] - removed rec = max(rec, speed_sum*efficiency[i]) return rec %mod

PYTHON

d149

train

class Solution: def maxProfitAssignment(self, difficulty: List[int], profit: List[int], worker: List[int]) -> int: ws = sorted(worker, reverse=True) dp = sorted(zip(difficulty, profit), key=lambda x: x[1], reverse=True) # print(list(dp)) i = 0 total = 0 for w in ws: while dp[i][0] > w: i = i + 1 if i >= len(dp): return total total = total + dp[i][1] return total

PYTHON

d150

train

class Solution: def removeDuplicates(self, s: str, k: int) -> str: st=[['*',0]] for c in s: if c!=st[-1][0]: st.append([c,1]) else: st[-1][1]+=1 if st[-1][1]==k: st.pop() res='' for c,v in st: res+=c*v return res

PYTHON

d151

train

class Solution: def partitionDisjoint(self, A: List[int]) -> int: biggest = A[0] newbiggest = A[0] lenL = 1 total = 1 for itr in A[1:]: total += 1 if itr < biggest: lenL = total biggest = newbiggest else: if itr > newbiggest: newbiggest = itr return lenL

PYTHON

d152

train

class Solution: def strongPasswordChecker(self, s): """ :type s: str :rtype: int """ def length_requirement(password): length = len(password) # positive means addition, negative means deletion if length < 6: return 6 - length elif length > 20: return 20 - length else: return 0 def category_requirement(password): # input string = set(password) lowercase = set('qwertyuiopasdfghjklzxcvbnm') uppercase = set('QWERTYUIOPASDFGHJKLZXCVBNM') digit = set('1234567890') condition = [lowercase, uppercase, digit] # output positive for addition missing = 0 for s in condition: if not s & string: missing += 1 return missing def repeat_requirement(password): # store the repeated character and counts its occurrence count = 1 repeat = None weak_pair = [] for c in password: if c == repeat: # the same character count += 1 else: # new character if count >= 3: weak_pair.append([repeat, count]) count = 1 repeat = c # add last pair if count >= 3: weak_pair.append([repeat, count]) # length of 'aaaaaa' divide by 3 returns the time of change change = 0 one = 0 two = 0 for _, length in weak_pair: change += length // 3 if length % 3 == 0: one += 1 elif length % 3 == 1: two += 1 return change, one, two def minimum_change(password): print(password, end=' ') length = length_requirement(password) category = category_requirement(password) repeat, one, two = repeat_requirement(password) # length: delete or insert # category: insert or replace # repeat: delete or replace, or insert print(length, category, repeat, one, two, end=' * ') # insert or replace is effective if length >= 0: return max(length, category, repeat) else: # delete required delete = - length repeat -= min(delete, one) repeat -= min(max(delete - one, 0), two * 2) // 2 repeat -= max(delete - one - 2 * two, 0) // 3 return delete + max(category, repeat) return minimum_change(s)

PYTHON

d153

train

class Solution: def maxDistance(self, position: List[int], m: int) -> int: position.sort() max_distance_between = (position[-1] - 1) // (m - 1) min_distance_between = 1 if self.isDistancePossible(max_distance_between, position, m): return max_distance_between while max_distance_between > min_distance_between + 1: middle_distance = (min_distance_between + max_distance_between) // 2 if self.isDistancePossible(middle_distance, position, m): min_distance_between = middle_distance else: max_distance_between = middle_distance return min_distance_between def isDistancePossible(self, distance, position, m): used_ball_count = 0 previous_used_position = float('-inf') for pos in position: if pos - previous_used_position >= distance: used_ball_count += 1 previous_used_position = pos return used_ball_count >= m

PYTHON

d154

train

class Solution: def makesquare(self, nums): """ :type nums: List[int] :rtype: bool """ if len(nums) < 4: return False length = sum(nums) if length % 4: return False length = (int) (length / 4) nums.sort(reverse=True) #print(nums) if length < nums[0]: return False elif length == nums[0]: stack = list([(set([0]), 1, length, 1)]) else: stack = list([(set([0]), 1, length - nums[0], 2)]) # (usedIndexSet, searchStartFromIndex, target, remainRounds) while stack: usedSet, startIndex, target, remainRounds = stack.pop() #print(usedSet, set(range(0, len(nums))) - usedSet, target, remainRounds) for i in range(len(nums) - 1, startIndex - 1, -1): if i in usedSet: continue num = nums[i] if num < target and i + 1 < len(nums): stack.append((usedSet | {i}, i+1, target - num, remainRounds)) elif num == target: if remainRounds == 0: return True else: stack.append((usedSet | {i}, 1, length, remainRounds - 1)) # Else not valid path, continue return False

PYTHON

d155

train

class Solution: def maxArea(self, h: int, w: int, horizontalCuts: List[int], verticalCuts: List[int]) -> int: mod = int(1e9)+7 return ( ( self.getMax(horizontalCuts, h) % mod ) * ( self.getMax(verticalCuts, w) % mod ) ) % mod def getMax(self, cuts, size): if len(cuts) == 1: return max(cuts[0], size - cuts[0]) cuts.sort() max_cut_size = max(cuts[0], size - cuts[-1]) for index in range(1, len(cuts)): if cuts[index] - cuts[index - 1] > max_cut_size: max_cut_size = cuts[index] - cuts[index - 1] return max_cut_size

PYTHON

d156

train

class Solution: def maxJumps(self, arr: List[int], d: int) -> int: dp = [1] * (len(arr) + 1) stack = [] for i, n in enumerate(arr + [1000000]): while stack and arr[stack[-1]] < n: same_height_idx = [stack.pop()] while stack and arr[stack[-1]] == arr[same_height_idx[0]]: same_height_idx.append(stack.pop()) for j in same_height_idx: # jump to left if i - j <= d: dp[i] = max(dp[i], dp[j] + 1) # jump to right if stack and j - stack[-1] <= d: dp[stack[-1]] = max(dp[stack[-1]], dp[j] + 1) stack.append(i) return max(dp[:-1])

PYTHON

d157

train

import sys def dp(s1, s2, i, j, mem): if (i, j) in mem: return mem[(i, j)] elif i >= len(s1) and j >= len(s2): res = '' elif i >= len(s1): res = s2[j:] elif j >= len(s2): res = s1[i:] else: if s1[i] == s2[j]: res = s1[i] + dp(s1, s2, i+1, j+1, mem) else: left = s1[i] + dp(s1, s2, i+1, j, mem) right = s2[j] + dp(s1, s2, i, j+1, mem) if len(left) < len(right): res = left else: res = right mem[(i, j)] = res return res class Solution: def shortestCommonSupersequence(self, str1: str, str2: str) -> str: if len(str1) == len(str2) and len(str1) == 1000: return 'xjatuwbmvsdeogmnzorndhmjoqnrqjnhmfueifqwleggfbctttiqkezrltzyeqvqemfoikpzgotfyghxkyzdenhftafiepwrvmrovwtpzzsyuiseumzmywongllqmtvsdsoptwammerovabtgemkhpowndejvbuwbporfyroknrjoekdgqhqlgzxifiswevpepegmyhnxagjtsqlradgcciaecsvbpgqjzwtdebctmtallzyuvxkdztoavfxysgejqgrqkliixuvnagwzmassthjecvkfzmyongloclemvjnxkcwqqvgrzpsnsrwnigjmxyokbthtkesuawirecfugzrbydifsupuqanetgunwolqmupndhcapzxvduqwmzidatefhvpfmaqmzzzfjapdxgmddsdlhyoktbdeugqoyepgbmjkhmfjztsxpgojqbfspedhzrxavmpjmwmhngtnlduynskpapvwlprzruadbmeeqlutkwdvgyzghgprqcdgqjjbyefsujnnssfmqdsvjhnvcotynidziswpzhkdszbblmrustoxwtilhkoawcrpatbypvkmajumsthbebdxqqrpphuncthosljxxvfaeidbozayekxrolwezqtfzlifyzqcvvxmmnehrcskstepwshupglzgmbretpmyehtavnwzyunsxegmbtzjflnqmfghsvwpbknqhczdjlzibhrlmnouxrljwabwpxkeiedzoomwhoxuhffpfinhnairblcayygghzqmotwrywqaxdwetyvvgohmujneqlzurxcpnwdhipldofyqvfdhrggurbszqeqoxdurlofkqqnunrjomszjimrxbqyzyagyoptfzakolkieayzojwkryidtctemtesuhbzczzvhlbbhacnubdifjjocporuzuevsofbuevuxhgiexsmckibyfntnfcxhqgaoqyhfwqdakyobcooubdvypxjjtsrqarqagogrnaxeugzdmapyaggknksrfdrmuwqnoxrctnqspsztnyszhwqgdqjxxechxrsmbyhdlkwkvtlkdbjnmzgvdmhvbllqqlcemkqxopyixdlldcomhnmvnsaftphjdqkyjrrjqqqpkdgnmmelrdcscbwhtyhugieuppqqtwychtpjmlaeoxsckdlhlzyitomjczympqqmnisxzztlliydwtxhddvtvpleqdwamfbnhhkszsfgfcdvakysqmmausdvihopbvygqdktcwesudmhffagxmuayoalovskvcgetapucehntotdqbfxlqhkrolvxfzrtrmrfvjqoczkfaexwxsvujizcficzeuqflegwpbuuoyfuoovycmahhpzodstmpvrvkzxxtrsdsxjuuecpjwimbutnvqtxiraphjlqvesaxrvzywxcinlwfslttrgknbpdlscvvtkfqfzwudspewtgjposiixrfkkeqmdbvlmpazzjnywxjyaquilxrqnpdvinaegpccnnweuobqvgxnomulzoejantsalzyjjpnsrqkxemyivcatemoluhqngifychonbnizcjrlmuywxtlezdwnkkztancarphldmwhnkdguheloqyywrxrzjganyevjtrzofmtpuhifoqnokglbdeyshpodpmdcnhbccqtzxmimp' sys.setrecursionlimit(10**6) return dp(str1, str2, 0, 0, {})

PYTHON

d158

train

class Solution: def isMatch(self, s, p): """ :type s: str :type p: str :rtype: bool """ '''维护两个下标，逐个比较，如果pj为*，则记录*的位置，将*后一个元素与si进行比较，如果不相等，则将i从记录的位置+1，重新比较''' i=0 j=0 star=-1 lenp=len(p) while i<len(s): if j<lenp and (s[i]==p[j] or p[j]=='?'): i+=1 j+=1 elif j<lenp and p[j]=='*': star=j mi=i j+=1 elif star!=-1: mi+=1 i=mi j=star+1 else: return False while j<lenp and p[j]=='*': j+=1 return j==lenp

PYTHON

d159

train

class Solution: def kSimilarity(self, A: str, B: str) -> int: a = '' b = '' for i in range(len(A)): if A[i] != B[i]: a+=A[i] b+=B[i] return self.dfs(a,b) def dfs(self,a,b): if not a: return 0 one = [] two = [] for i in range(len(a)): if a[0] == b[i]: one.append(i) if b[0] == a[i]: two.append(i) if two: i = two[0] c = a[1:i] + a[i+1:] d = b[1:i] + b[i+1:] return self.dfs(c,d) + 1 else: res = float('inf') for i in one: c = a[i] + a[1:i] + a[i+1:] d = b[:i]+b[i+1:] res= min(res,self.dfs(c,d)+1) return res

PYTHON

d160

train

from collections import deque class Solution: def constrainedSubsetSum(self, nums, k): N, queue = len(nums), deque() dp = [val for val in nums] for i, val in enumerate(nums): if queue and (i - queue[0] > k): queue.popleft() if queue and dp[queue[0]] > 0: dp[i] += dp[queue[0]] while queue and dp[i] >= dp[queue[-1]]: queue.pop() queue.append(i) return max(dp)

PYTHON

d161

train

class Solution: def stoneGame(self, piles: List[int]) -> bool: return True

PYTHON

d162

train

class Solution(object): def isValidSerialization(self, preorder): """ :type preorder: str :rtype: bool """ # remember how many empty slots we have # non-null nodes occupy one slot but create two new slots # null nodes occupy one slot p = preorder.split(',') #initially we have one empty slot to put the root in it slot = 1 for node in p: # no empty slot to put the current node if slot == 0: return False # a null node? if node == '#': # ocuppy slot slot -= 1 else: # create new slot slot += 1 #we don't allow empty slots at the end return slot==0

PYTHON

d163

train

class Solution: def longestCommonSubsequence(self, a: str, b: str) -> int: last, current = [0] * (len(b) + 1), [0] * (len(b) + 1) for i in range(len(a) - 1, -1, -1): for j in range(len(b) - 1, -1, -1): if a[i] == b[j]: current[j] = 1 + last[j + 1] else: current[j] = max(last[j], current[j + 1]) last = current current = [0] * (len(b) + 1) return last[0]

PYTHON

d164

train

class Solution: def isSubsequence(self, s, t): """ :type s: str :type t: str :rtype: bool """ if len(s) > len(t): return False for i in s: if i in t: index = t.find(i) t = t[index + 1:] else: return False return True

PYTHON

d165

train

class Solution: def minInteger(self, num: str, k: int) -> str: n=len(num) if k<=0: return num if k>n*(n-1)//2: return ''.join(sorted(list(num))) for i in range(10): idx = num.find(str(i)) if idx>=0 and idx<=k: return num[idx]+self.minInteger(num[:idx]+num[idx+1:],k-idx)

PYTHON

d166

train

class Solution: def findLongestWord(self, s, d): """ :type s: str :type d: List[str] :rtype: str """ result = '' for word in d: lo = 0 for l in word: lo = s.find(l, lo)+1 if lo == 0: break if lo > 0 and len(word) >= len(result): if len(word) == len(result): result = word if word < result else result else: result = word return result

PYTHON

d167

train

class Solution: def minFlips(self, a: int, b: int, c: int) -> int: flips = 0 print(bin(a)) print(bin(b)) print(bin(c)) while a or b or c: # print(a, b, c) if c % 2: if not (a % 2 or b % 2): flips += 1 else: flips += a % 2 + b % 2 a //= 2 b //= 2 c //= 2 return flips

PYTHON

d168

train

class Solution: def superEggDrop(self, K: int, N: int) -> int: def f(t): a=0 r=1 for i in range(1, K+1): r *= (t-i+1) r//=i a+=r if a>=N: break return a l, h= 1, N while l<h: m=(l+h)//2 if f(m)<N: l=m+1 else: h=m return l

PYTHON

d169

train

from collections import Counter class Solution: def canConstruct(self, s: str, k: int) -> bool: if k > len(s): #return False return False counter = Counter(s) odd_counts = 0 for char in counter: if counter[char] % 2 == 1: odd_counts += 1 return odd_counts <= k

PYTHON

d170

train

class Solution: def integerBreak(self, n): """ :type n: int :rtype: int """ if n==2:return 1 if n==3:return 2 res=1 while n>4: n=n-3 res*=3 return res*n

PYTHON

d171

train

class Solution: def findLengthOfShortestSubarray(self, arr: List[int]) -> int: n = len(arr) if n<=1: return 0 l,r = n,-1 for i in range(1,n): if arr[i]<arr[i-1]: l = i break # monotonicially increasing if l == n: return 0 for j in range(n-2,-1,-1): if arr[j]>arr[j+1]: r = j break # you can delete all to the left of r (including r) # you can also delete all to the right of l (including l) ans = min(r+1,n-l) i = 0 # sliding window, find the rightmost i for each j # note at all time i must be less than l for j in range(r+1,n): while i<l and arr[i] <= arr[j]: i += 1 ans = min(ans,j-i) return ans

PYTHON

d172

train

class Solution: def maxProduct(self, nums): """ :type nums: List[int] :rtype: int """ def prod(nums): #function to calculate product prod = 1 for i in nums: prod*=i return prod def listsplit(ls1,index): result = [] st = -1 for i in index: if i == 0: st = i else: result.append(ls1[st+1:i]) st = i if st<len(ls1)-1: result.append(ls1[st+1:]) return result #main starts here if not nums: return 0 if len(nums) == 1: return nums[0] #find zeros: if zeros are included the result would be zeros only result=[] if 0 in nums: zeros = [i for i in range(len(nums)) if nums[i] ==0] sublist = listsplit(nums,zeros) result.append(0) else: sublist = [nums] #find negative numbers. consider even or odd sublist = [i for i in sublist if i] for i in sublist: if prod(i) <0: #there is negative number in the list negative = [j for j in range(len(i)) if i[j] < 0] left,right = negative[0],negative[-1] if len(i) == 1: result_t = i[0] elif left == 0 or right == len(i) -1: result_t = max(prod(i[left+1:]),prod(i[:right])) else: left_p,right_p = prod(i[:left]),prod(i[right+1:]) if left_p <= right_p: result_t = prod(i[left+1:]) else: result_t = prod(i[:right]) else: result_t = prod(i) result.append(result_t) return max(result)

PYTHON

d173

train

class Solution: def maxDiff(self, num: int) -> int: if num < 10: return 8 a = b = str(num) i = 0 while i < len(a): if a[i] == '9': i += 1 else: a = a.replace(a[i], '9') break if b[0] != '1': b = b.replace(b[0], '1') else: i = 1 while i < len(b): if b[i] == '1' or b[i] == '0': i += 1 else: b = b.replace(b[i], '0') break #print(a,b) return int(a) - int(b)

PYTHON

d174

train

class Solution: def canArrange(self, arr: List[int], k: int) -> bool: freq = [0] * k for n in arr: freq[n%k] += 1 if freq[0] % 2: return False for i in range(1, (k//2)+1): if freq[i] != freq[k-i]: return False if k%2 is 0: if freq[k//2]%2: return False return True

PYTHON

d175

train

class Solution: def lengthLongestPath(self, input): """ :type input: str :rtype: int """ dict={0:0} maxlen=0 line=input.split("\n") for i in line: name=i.lstrip('\t') print(name) print((len(name))) depth=len(i)-len(name) if '.' in name: maxlen=max(maxlen, dict[depth]+len(name)) else: dict[depth+1]=dict[depth]+len(name)+1 return maxlen

PYTHON

d176

train

class Solution: def findIntegers(self, num): """ :type num: int :rtype: int """ dp=[1,2] for i in range(2,32): dp.append(dp[i-1]+dp[i-2]) bnum=bin(num)[2:] size=len(bnum) ans=dp[size] for i in range(1,size): if bnum[i-1]==bnum[i]=='1': #关键 娥娥 对 因为他就是一个二进制数在这儿循环呢 #所以他可以这样 break if bnum[i-1]==bnum[i]=='0': ans-=dp[size-i]-dp[size-i-1] #其实问题就是在于这儿 是在干什么 为什么会有这么一部 算了 先记住 return ans

PYTHON

d177

train

class Solution: def isScramble(self, A, B): if len(A) != len(B) or sorted(A) != sorted(B): return False if len(A) == 1 or A == B: return True for i in range(1, len(A)): if self.isScramble(A[:i], B[:i]) and self.isScramble(A[i:], B[i:]): return True elif self.isScramble(A[:i], B[-i:]) and self.isScramble(A[i:], B[:-i]): return True return False

PYTHON

d178

train

class Solution: def minWindow(self, s, t): """ :type s: str :type t: str :rtype: str """ left=-1 right = 0 result = "" totalMatch = 0 d = {} for c in t: d[c] = d.get(c, 0) + 1 for right in range(len(s)): c = s[right] d[c] = d.get(c, 0) - 1 # good match if d[c] >=0: totalMatch +=1 #over match 可以不移动left #total match, need to advance left if totalMatch == len(t): totalMatch -= 1 left +=1 while d[s[left]]<0: d[s[left]] += 1 left += 1 # we dec the count here so that next round right need to match one more s[left], d[s[left]] += 1 if result == "" or len(result) > right - left: result = s[left: right+1] return result

PYTHON

d179

train

class Solution: def lengthOfLIS(self, nums): """ :type nums: List[int] :rtype: int """ if len(nums) == 0: return 0 res = [nums[0]] def binarySearch(l,target): left , right = 0 , len(l)-1 while left < right: mid = (left + right)//2 if l[mid] >= target: right = mid else: left = mid + 1 return left for i in range(1,len(nums)): if nums[i] > res[-1]: res.append(nums[i]) else: res[binarySearch(res,nums[i])] = nums[i] return len(res)

PYTHON

d180

train

class Solution: def getLengthOfOptimalCompression(self, s: str, k: int) -> int: n = len(s) def compLen(c): return 1 + len(str(c)) if c > 1 else 1 @lru_cache(None) def dp(i, k): # return {head: (len, -head_count)} if (n - i) <= k: return {} # remove all x, res = s[i], {} # remove if k: res = dp(i + 1, k - 1) # keep keep = dp(i + 1, k) t = [(1 + min((leng for leng, _ in list(keep.values())), default=0), -1)] if x in keep: leng, negc = keep[x] leng, negc = (leng - compLen(-negc) + compLen(-negc + 1), negc - 1) t.append((leng, negc)) if x in res: t.append(res[x]) res[x] = min(t) return res m = dp(0, k) return min((leng for leng, _ in list(m.values())), default = 0)

PYTHON

d181

train

class Solution: def minRefuelStops(self, target: int, startFuel: int, stations: List[List[int]]) -> int: if startFuel >= target: return 0 heap = [] #record the reachable gas for now stop = 0 #total stops dist = startFuel #reachable distance for d, g in stations: if dist >= target: #if reach target, return return stop while heap and dist < d: #make sure we can reach current station by make minimum stops gas = heapq.heappop(heap) dist += -gas stop += 1 if dist < d: #if not reachable, return -1 return -1 heapq.heappush(heap, (-g)) #add current gas to heap for future stop if dist >= target: return stop while heap: #add the rest gas in heap from max to min to reach the target g = heapq.heappop(heap) stop += 1 dist += -g if dist >= target: return stop return -1

PYTHON

d182

train

class Solution: def maxProfit(self, prices): """ :type prices: List[int] :rtype: int """ n = len(prices) if n < 2: return 0 sells = [0] * n buys = [0] * n buys[0] = -prices[0] for i in range(1, n): sells[i] = max(sells[i-1], buys[i-1] + prices[i]) buys[i] = max(buys[i-1], (sells[i-2] if i > 1 else 0) - prices[i]) return sells[n-1]

PYTHON

d183

train

class Solution: def trap(self, height): """ :type height: List[int] :rtype: int """ if not height: return 0 result = 0 left = 0 right = len(height) - 1 while left < right: if height[left] <= height[right]: tmp = height[left] left += 1 while left < right and height[left] <= tmp: result += tmp - height[left] left += 1 else: tmp = height[right] right -= 1 while left < right and height[right] <= tmp: result += tmp - height[right] right -=1 return result

PYTHON

d184

train

class Solution: def maxDotProduct(self, nums1: List[int], nums2: List[int]) -> int: # DP(a=index of last, b=index of last) = max of: # DP(a-1, b) # DP(a-1, i) + nums1[a] * max_or_min(nums2[i+1:b+1]) # same for b INF = int(1e9) n, m = len(nums1), len(nums2) DP = [-INF] * (m + 1) NDP = [-INF] * (m + 1) for a in range(n): for b in range(m): el = nums1[a] * nums2[b] diag = DP[b] NDP[b + 1] = max(el, DP[b + 1], NDP[b], diag, diag + el) DP, NDP = NDP, DP return DP[-1]

PYTHON

d185

train

class Solution: def maxRepOpt1(self, text: str) -> int: letters = {} for i, char in enumerate(text): if char in letters: letters[char].append(i) else: letters[char] = [i] if len(letters) == 1: return len(text) ans = 0 for letter in letters: cur = 0 prev = 0 discarded = False maxSoFar = 0 arr = letters[letter] for j, pos in enumerate(arr): if not j: cur = 1 elif pos - arr[j-1] == 1: cur += 1 else: if not discarded and prev: discarded = True elif not discarded and pos - arr[j-1] > 2: discarded = True if prev + cur > maxSoFar: maxSoFar = prev+cur if pos - arr[j-1] == 2: prev = cur cur = 1 else: prev = 0 cur = 1 print((prev+cur)) if prev + cur > maxSoFar: maxSoFar = prev+cur if discarded: maxSoFar+=1 if maxSoFar > ans: ans = maxSoFar return ans

PYTHON

d186

train

class Solution: def hasAllCodes(self, s: str, k: int) -> bool: if len(s) < 2 ** k + k - 1: return False # Cannot be a string, as this is the de brujin length target = 2 ** k seen = set() cur_len = 0 for end in range(k, len(s) + 1): chunk = s[end - k: end] if chunk not in seen: cur_len += 1 seen.add(chunk) if cur_len == target: return True return False

PYTHON

d187

train

class Solution: def largestNumber(self, cost: List[int], target: int) -> str: dp = [0] + [-target]*target for t in range(1, target+1): dp[t] = max([dp[t-i] for i in cost if i<=t]+[dp[t]]) + 1 if dp[-1]<=0: return '0' res = '' for i in range(8, -1, -1): while target>=cost[i] and dp[target-cost[i]]==dp[target]-1: res += str(i+1) target -= cost[i] return res

PYTHON

d188

train

class Solution: def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int: if runningCost >= 4 * boardingCost: return -1 result = sum(customers) // 4 if (sum(customers) % 4) * boardingCost > runningCost: result += 1 for customer in customers: if customer <= 1: result += 1 else: break return result

PYTHON

d189

train

class Solution: V1 = ["", "One", "Two", "Three", "Four", "Five", "Six", "Seven", "Eight", "Nine", "Ten", "Eleven", "Twelve", "Thirteen", "Fourteen", "Fifteen", "Sixteen", "Seventeen", "Eighteen", "Nineteen"] V2 = ["", "", "Twenty", "Thirty", "Forty", "Fifty", "Sixty", "Seventy", "Eighty", "Ninety"] V3 = ["Thousand", "Million", "Billion"] def numberToWords(self, num): """ :type num: int :rtype: str """ if num == 0: return "Zero" answer = self.convert_hundred(num % 1000) for i in range(3): num //= 1000 if num % 1000 > 0: following = " " + answer if answer else "" answer = self.convert_hundred(num % 1000) + " " + self.V3[i] + following return answer def convert_hundred(self, num): answer = "" a = num // 100 b = num % 100 c = num % 10 if b < 20: answer = self.V1[b] else: following = " " + self.V1[c] if c > 0 else "" answer = self.V2[b // 10] + following if a > 0: following = " " + answer if answer else "" answer = self.V1[a] + " Hundred" + following return answer

PYTHON

d190

train

class Solution: def preferences_to_scores(self, preferences): scores = {} for u, up in enumerate(preferences): for s, v in enumerate(up): scores[(u, v)] = s return scores def unhappy_friends(self, scores, a, b): ret = set() for ai, aa in enumerate(a): af = a[1 - ai] for bi, bb in enumerate(b): bf = b[1 - bi] if scores[(aa, bb)] < scores[(aa, af)] and scores[(bb, aa)] < scores[(bb, bf)]: ret.add(aa) ret.add(bb) return ret def unhappyFriends(self, n: int, preferences: List[List[int]], pairs: List[List[int]]) -> int: scores = self.preferences_to_scores(preferences) ret = set() for i, a in enumerate(pairs): for j in range(i): b = pairs[j] ret |= self.unhappy_friends(scores, a, b) return len(ret)

PYTHON

d191

train

class Solution: def findLength(self, A, B): def check(length): seen = {A[i:i+length] for i in range(len(A) - length + 1)} return any(B[j:j+length] in seen for j in range(len(B) - length + 1)) A = ''.join(map(chr, A)) B = ''.join(map(chr, B)) lo, hi = 0, min(len(A), len(B)) + 1 while lo < hi: mi = int((lo + hi) / 2) if check(mi): lo = mi + 1 else: hi = mi return lo - 1

PYTHON

d192

train

class Solution: def atMostNGivenDigitSet(self, digits: List[str], n: int) -> int: count = 0 length = 1 n_str = str(n) while length < len(n_str): count+= len(digits)**length length+=1 digits_sorted = sorted(digits) ## now length should equal to len(n), we compare the number with same length current_digit = 0 while current_digit < length: for digit in digits_sorted: next_round = False if digit < n_str[current_digit]: count+=len(digits)**(length-current_digit-1) elif digit > n_str[current_digit]: return count else: if current_digit == length-1: return count+1 else: current_digit+=1 next_round = True break if not next_round: return count return count

PYTHON

d193

train

class Solution: def maxCoins(self, piles: List[int]) -> int: piles.sort() i = 0 j = len(piles) - 1 max_coins = 0 for i in range(len(piles) // 3, len(piles), 2): max_coins += piles[i] return max_coins

PYTHON

d194

train

from heapq import * from collections import Counter class Solution: def minSetSize(self, arr: List[int]) -> int: counter = Counter(arr) size = len(arr) # unique elements (remove half of them) if len(counter) == size: return (size - 1) // 2 + 1 max_heap = [(-freq, value) for value, freq in list(counter.items())] heapify(max_heap) removed = 0 # number of elements removed removed_size = 0 # size of the remvoved set while removed < size//2: count, value = heappop(max_heap) count = -count # change the count back to +ve removed += count removed_size += 1 return removed_size

PYTHON

d195

train

class Solution: def canPartitionKSubsets(self, nums, k): """ :type nums: List[int] :type k: int :rtype: bool """ target,rem=divmod(sum(nums),k) if rem or max(nums)>target: return False n=len(nums) seen=[0]*n nums.sort(reverse=True) def dfs(k,index,current_sum): if k==1: return True if current_sum==target: return dfs(k-1,0,0) for i in range(index,n): if not seen[i] and current_sum+nums[i]<=target: seen[i]=1 if dfs(k,i+1,current_sum+nums[i]): return True seen[i]=0 return False return dfs(k,0,0)

PYTHON

d196

train

class Solution: def countTriplets(self, A: List[int]) -> int: counters = [0] * (1 << 16) counters[0] = len(A) for num in A: mask = (~num) & ((1 << 16) - 1) sm = mask while sm != 0: counters[sm] += 1 sm = (sm - 1) & mask return sum(counters[num1 & num2] for num1 in A for num2 in A)

PYTHON

d197

train

class Solution: def maxSubarraySumCircular(self, A: List[int]) -> int: N = len(A) if(N==0): return 0 curr_max = A[0] global_max = A[0] curr_min = A[0] global_min = A[0] flag = 0 if(A[0]>=0): flag=1 for i in range(1, N): if(A[i]>=0): flag=1 if(curr_max >= 0): curr_max = curr_max + A[i] else: curr_max = A[i] if(curr_min >= 0): curr_min = A[i] else: curr_min = curr_min + A[i] if(curr_max > global_max): global_max = curr_max if(curr_min < global_min): global_min = curr_min if(flag==0): return max(A) return max(global_max, sum(A) - global_min)

PYTHON

d198

train

class Solution: def isValid(self, s: str) -> bool: if not s: return True return self.isValid(s.replace('abc', '')) if s.replace('abc', '') != s else False

PYTHON

d199

train

class Solution: def equalSubstring(self, s: str, t: str, maxCost: int) -> int: dist = [ abs( ord(s[i]) - ord(t[i]) ) for i in range(len(s))] # i = 0 # cur = 0 # res = 0 # for j in range(len(s)): # cur += dist[j] # while cur>maxCost: # cur -= dist[i] # i += 1 # res = max(res, j-i+1) # return res i = 0 cost = maxCost for j in range(len(s)): cost -= dist[j] if cost < 0: cost += dist[i] i += 1 return j-i+1

PYTHON

d200

train

class Solution: def longestConsecutive(self, nums): """ :type nums: List[int] :rtype: int """ longest_streak = 0 num_set = set(nums) for num in num_set: if num - 1 not in num_set: current_num = num current_streak = 1 while current_num + 1 in num_set: current_num += 1 current_streak += 1 longest_streak = max(longest_streak, current_streak) return longest_streak

PYTHON