Problem: In some other world, today is Christmas.  Mr. Takaha decides to make a multi-dimensional burger in his party. A _level- L burger_ (L is an integer greater than or equal to 0) is the following thing:    * A level-0 burger is a patty.   * A level-L burger (L \geq 1) is a bun, a level-(L-1) burger, a patty, another level-(L-1) burger and another bun, stacked vertically in this order from the bottom.  For example, a level-1 burger and a level-2 burger look like `BPPPB` and `BBPPPBPBPPPBB` (rotated 90 degrees), where `B` and `P` stands for a bun and a patty.  The burger Mr. Takaha will make is a level-N burger. Lunlun the Dachshund will eat X layers from the bottom of this burger (a layer is a patty or a bun). How many patties will she eat?

Submission attempts (in order):
import sys
import heapq
import re
from itertools import permutations
from bisect import bisect_left, bisect_right
from collections import Counter, deque
from fractions import gcd
from math import factorial, sqrt, ceil
from functools import lru_cache, reduce
INF = 1 << 60
MOD = 1000000007
sys.setrecursionlimit(10 ** 7)

# UnionFind
class UnionFind():
    def __init__(self, n):
        self.n = n
        self.parents = [-1] * n

    def find(self, x):
        if self.parents[x] < 0:
            return x
        else:
            self.parents[x] = self.find(self.parents[x])
            return self.parents[x]

    def union(self, x, y):
        x = self.find(x)
        y = self.find(y)

        if x == y:
            return

        if self.parents[x] > self.parents[y]:
            x, y = y, x

        self.parents[x] += self.parents[y]
        self.parents[y] = x

    def size(self, x):
        return -self.parents[self.find(x)]

    def same(self, x, y):
        return self.find(x) == self.find(y)

    def members(self, x):
        root = self.find(x)
        return [i for i in range(self.n) if self.find(i) == root]

    def roots(self):
        return [i for i, x in enumerate(self.parents) if x < 0]

    def group_count(self):
        return len(self.roots())

    def all_group_members(self):
        return {r: self.members(r) for r in self.roots()}

    def __str__(self):
        return '\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())

def is_prime(n):
    if n == 1:
        return False
    for i in range(2,int(n**0.5)+1):
        if n % i == 0:
            return False
    return True




def warshall_floyd(d, n):
    
    for k in range(n):
        for i in range(n):
            for j in range(n):
                d[i][j] = min(d[i][j],d[i][k] + d[k][j])
    return d



def dijkstra_heap(s, edge, n):
    
    d = [10**20] * n
    used = [True] * n 
    d[s] = 0
    used[s] = False
    edgelist = []
    for a,b in edge[s]:
        heapq.heappush(edgelist,a*(10**6)+b)
    while len(edgelist):
        minedge = heapq.heappop(edgelist)
        
        if not used[minedge%(10**6)]:
            continue
        v = minedge%(10**6)
        d[v] = minedge//(10**6)
        used[v] = False
        for e in edge[v]:
            if used[e[1]]:
                heapq.heappush(edgelist,(e[0]+d[v])*(10**6)+e[1])
    return d


def factorization(n):
    arr = []
    temp = n
    for i in range(2, int(-(-n**0.5//1))+1):
        if temp%i==0:
            cnt=0
            while temp%i==0:
                cnt+=1
                temp //= i
            arr.append([i, cnt])

    if temp!=1:
        arr.append([temp, 1])

    if arr==[]:
        arr.append([n, 1])

    return arr


def lcm(x, y):
    return (x * y) // gcd(x, y)


def lcm_list(numbers):
    return reduce(lcm, numbers, 1)


def gcd_list(numbers):
    return reduce(gcd, numbers)






def eratosthenes(limit):
    A = [i for i in range(2, limit+1)]
    P = []

    while True:
        prime = min(A)
        
        if prime > sqrt(limit):
            break
            
        P.append(prime)
            
        i = 0
        while i < len(A):
            if A[i] % prime == 0:
                A.pop(i)
                continue
            i += 1
            
    for a in A:
        P.append(a)
            
    return P


def permutation_with_duplicates(L):

    if L == []:
        return [[]]

    else:
        ret = []

        
        S = sorted(set(L))

        for i in S:

            data = L[:]
            data.remove(i)

            for j in permutation_with_duplicates(data):
                ret.append([i] + j)

        return ret



n, x = map(int, input().split())
a = [0 for i in range(n + 1)]
for i in range(n + 1):
    if i == 0:
        a[i] = 1
    else:
        a[i] = a[i - 1] * 2 + 3
p = [0 for i in range(n + 1)]
for i in range(n + 1):
    if i == 0:
        p[i] = 1
    else:
        p[i] = p[i - 1] * 2 + 1

def func(n, x):
    if x == 0:
        return 0
    if n == 0:
        return 1    
    if x < a[n - 1] + 1:
        return func(n - 1, x - 1)
    if x == a[n - 1] + 1:
        return 1 + func(n - 1, x - 1)
    return p[n - 1] + 1 + func(n - 1, x - a[n - 1] - 2) 
print(func(n, x))

N, X = map(int, input().split())
2
3 a, p = [1], [1]
4 for i in range(N):
5 a.append(a[i] * 2 + 3)
6 p.append(p[i] * 2 + 1)
7
8 def f(N, X): 
9 if N == 0:
10 return 0 if X <= 0 else 1
11 elif X <= 1 + a[N-1]:
12 return f(N-1, X-1)
13 else:
14 return p[N-1] + 1 + f(N-1, X-2-a[N-1])
15
16 print(f(N, X))


N, X = map(int, input().split())

a, p = [1], [1]
for i in range(N):
a.append(a[i] * 2 + 3)
p.append(p[i] * 2 + 1)

def f(N, X): 
	if N == 0:
  		return 0 if X <= 0 else 1
	elif X <= 1 + a[N-1]:
    	return f(N-1, X-1)
	else:
 		return p[N-1] + 1 + f(N-1, X-2-a[N-1])

print(f(N, X))


import sys
import heapq
import re
from itertools import permutations
from bisect import bisect_left, bisect_right
from collections import Counter, deque
from fractions import gcd
from math import factorial, sqrt, ceil
from functools import lru_cache, reduce
INF = 1 << 60
MOD = 1000000007
sys.setrecursionlimit(10 ** 7)

# UnionFind
class UnionFind():
    def __init__(self, n):
        self.n = n
        self.parents = [-1] * n

    def find(self, x):
        if self.parents[x] < 0:
            return x
        else:
            self.parents[x] = self.find(self.parents[x])
            return self.parents[x]

    def union(self, x, y):
        x = self.find(x)
        y = self.find(y)

        if x == y:
            return

        if self.parents[x] > self.parents[y]:
            x, y = y, x

        self.parents[x] += self.parents[y]
        self.parents[y] = x

    def size(self, x):
        return -self.parents[self.find(x)]

    def same(self, x, y):
        return self.find(x) == self.find(y)

    def members(self, x):
        root = self.find(x)
        return [i for i in range(self.n) if self.find(i) == root]

    def roots(self):
        return [i for i, x in enumerate(self.parents) if x < 0]

    def group_count(self):
        return len(self.roots())

    def all_group_members(self):
        return {r: self.members(r) for r in self.roots()}

    def __str__(self):
        return '\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())

def is_prime(n):
    if n == 1:
        return False
    for i in range(2,int(n**0.5)+1):
        if n % i == 0:
            return False
    return True




def warshall_floyd(d, n):
    
    for k in range(n):
        for i in range(n):
            for j in range(n):
                d[i][j] = min(d[i][j],d[i][k] + d[k][j])
    return d



def dijkstra_heap(s, edge, n):
    
    d = [10**20] * n
    used = [True] * n 
    d[s] = 0
    used[s] = False
    edgelist = []
    for a,b in edge[s]:
        heapq.heappush(edgelist,a*(10**6)+b)
    while len(edgelist):
        minedge = heapq.heappop(edgelist)
        
        if not used[minedge%(10**6)]:
            continue
        v = minedge%(10**6)
        d[v] = minedge//(10**6)
        used[v] = False
        for e in edge[v]:
            if used[e[1]]:
                heapq.heappush(edgelist,(e[0]+d[v])*(10**6)+e[1])
    return d


def factorization(n):
    arr = []
    temp = n
    for i in range(2, int(-(-n**0.5//1))+1):
        if temp%i==0:
            cnt=0
            while temp%i==0:
                cnt+=1
                temp //= i
            arr.append([i, cnt])

    if temp!=1:
        arr.append([temp, 1])

    if arr==[]:
        arr.append([n, 1])

    return arr


def lcm(x, y):
    return (x * y) // gcd(x, y)


def lcm_list(numbers):
    return reduce(lcm, numbers, 1)


def gcd_list(numbers):
    return reduce(gcd, numbers)






def eratosthenes(limit):
    A = [i for i in range(2, limit+1)]
    P = []

    while True:
        prime = min(A)
        
        if prime > sqrt(limit):
            break
            
        P.append(prime)
            
        i = 0
        while i < len(A):
            if A[i] % prime == 0:
                A.pop(i)
                continue
            i += 1
            
    for a in A:
        P.append(a)
            
    return P


def permutation_with_duplicates(L):

    if L == []:
        return [[]]

    else:
        ret = []

        
        S = sorted(set(L))

        for i in S:

            data = L[:]
            data.remove(i)

            for j in permutation_with_duplicates(data):
                ret.append([i] + j)

        return ret



n, x = map(int, input().split())
a = [0 for i in range(n + 1)]
for i in range(n + 1):
    if i == 0:
        a[i] = 1
    else:
        a[i] = a[i - 1] * 2 + 3
p = [0 for i in range(n + 1)]
for i in range(n + 1):
    if i == 0:
        p[i] = 1
    else:
        p[i] = p[i - 1] * 2 + 1

def func(n, x):
    if x == 0:
        return 0
    if n == 0:
        return 1    
    if x < a[n - 1] + 1:
        return func(n - 1, x - 1)
    if x == a[n - 1] + 1:
        return 1 + p[n - 1]
    return p[n - 1] + 1 + func(n - 1, x - a[n - 1] - 2) 
print(func(n, x))

import sys
import heapq
import re
from itertools import permutations
from bisect import bisect_left, bisect_right
from collections import Counter, deque
from fractions import gcd
from math import factorial, sqrt, ceil
from functools import lru_cache, reduce
INF = 1 << 60
MOD = 1000000007
sys.setrecursionlimit(10 ** 7)

# UnionFind
class UnionFind():
    def __init__(self, n):
        self.n = n
        self.parents = [-1] * n

    def find(self, x):
        if self.parents[x] < 0:
            return x
        else:
            self.parents[x] = self.find(self.parents[x])
            return self.parents[x]

    def union(self, x, y):
        x = self.find(x)
        y = self.find(y)

        if x == y:
            return

        if self.parents[x] > self.parents[y]:
            x, y = y, x

        self.parents[x] += self.parents[y]
        self.parents[y] = x

    def size(self, x):
        return -self.parents[self.find(x)]

    def same(self, x, y):
        return self.find(x) == self.find(y)

    def members(self, x):
        root = self.find(x)
        return [i for i in range(self.n) if self.find(i) == root]

    def roots(self):
        return [i for i, x in enumerate(self.parents) if x < 0]

    def group_count(self):
        return len(self.roots())

    def all_group_members(self):
        return {r: self.members(r) for r in self.roots()}

    def __str__(self):
        return '\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())

def is_prime(n):
    if n == 1:
        return False
    for i in range(2,int(n**0.5)+1):
        if n % i == 0:
            return False
    return True




def warshall_floyd(d, n):
    
    for k in range(n):
        for i in range(n):
            for j in range(n):
                d[i][j] = min(d[i][j],d[i][k] + d[k][j])
    return d



def dijkstra_heap(s, edge, n):
    
    d = [10**20] * n
    used = [True] * n 
    d[s] = 0
    used[s] = False
    edgelist = []
    for a,b in edge[s]:
        heapq.heappush(edgelist,a*(10**6)+b)
    while len(edgelist):
        minedge = heapq.heappop(edgelist)
        
        if not used[minedge%(10**6)]:
            continue
        v = minedge%(10**6)
        d[v] = minedge//(10**6)
        used[v] = False
        for e in edge[v]:
            if used[e[1]]:
                heapq.heappush(edgelist,(e[0]+d[v])*(10**6)+e[1])
    return d


def factorization(n):
    arr = []
    temp = n
    for i in range(2, int(-(-n**0.5//1))+1):
        if temp%i==0:
            cnt=0
            while temp%i==0:
                cnt+=1
                temp //= i
            arr.append([i, cnt])

    if temp!=1:
        arr.append([temp, 1])

    if arr==[]:
        arr.append([n, 1])

    return arr


def lcm(x, y):
    return (x * y) // gcd(x, y)


def lcm_list(numbers):
    return reduce(lcm, numbers, 1)


def gcd_list(numbers):
    return reduce(gcd, numbers)






def eratosthenes(limit):
    A = [i for i in range(2, limit+1)]
    P = []

    while True:
        prime = min(A)
        
        if prime > sqrt(limit):
            break
            
        P.append(prime)
            
        i = 0
        while i < len(A):
            if A[i] % prime == 0:
                A.pop(i)
                continue
            i += 1
            
    for a in A:
        P.append(a)
            
    return P


def permutation_with_duplicates(L):

    if L == []:
        return [[]]

    else:
        ret = []

        
        S = sorted(set(L))

        for i in S:

            data = L[:]
            data.remove(i)

            for j in permutation_with_duplicates(data):
                ret.append([i] + j)

        return ret



n, x = map(int, input().split())
a = [0 for i in range(n + 1)]
for i in range(n + 1):
    if i == 0:
        a[i] = 1
    else:
        a[i] = a[i - 1] * 2 + 3
p = [0 for i in range(n + 1)]
for i in range(n + 1):
    if i == 0:
        p[i] = 1
    else:
        p[i] = p[i - 1] * 2 + 1

def func(n, x):
    if n == 0:
        return 1    
    if x == 0:
        return 0
    if x < a[n - 1]:
        return func(n - 1, x - 1)
    if x == a[n - 1]:
        return p[n - 1]
    if x == a[n - 1] + 1:
        return 1 + p[n - 1]
    return p[n - 1] + 1 + func(n - 1, x - a[n - 1] - 2) 
print(func(n, x))

import sys
import heapq
import re
from itertools import permutations
from bisect import bisect_left, bisect_right
from collections import Counter, deque
from fractions import gcd
from math import factorial, sqrt, ceil
from functools import lru_cache, reduce
INF = 1 << 60
MOD = 1000000007
sys.setrecursionlimit(10 ** 7)

# UnionFind
class UnionFind():
    def __init__(self, n):
        self.n = n
        self.parents = [-1] * n

    def find(self, x):
        if self.parents[x] < 0:
            return x
        else:
            self.parents[x] = self.find(self.parents[x])
            return self.parents[x]

    def union(self, x, y):
        x = self.find(x)
        y = self.find(y)

        if x == y:
            return

        if self.parents[x] > self.parents[y]:
            x, y = y, x

        self.parents[x] += self.parents[y]
        self.parents[y] = x

    def size(self, x):
        return -self.parents[self.find(x)]

    def same(self, x, y):
        return self.find(x) == self.find(y)

    def members(self, x):
        root = self.find(x)
        return [i for i in range(self.n) if self.find(i) == root]

    def roots(self):
        return [i for i, x in enumerate(self.parents) if x < 0]

    def group_count(self):
        return len(self.roots())

    def all_group_members(self):
        return {r: self.members(r) for r in self.roots()}

    def __str__(self):
        return '\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())

def is_prime(n):
    if n == 1:
        return False
    for i in range(2,int(n**0.5)+1):
        if n % i == 0:
            return False
    return True




def warshall_floyd(d, n):
    
    for k in range(n):
        for i in range(n):
            for j in range(n):
                d[i][j] = min(d[i][j],d[i][k] + d[k][j])
    return d



def dijkstra_heap(s, edge, n):
    
    d = [10**20] * n
    used = [True] * n 
    d[s] = 0
    used[s] = False
    edgelist = []
    for a,b in edge[s]:
        heapq.heappush(edgelist,a*(10**6)+b)
    while len(edgelist):
        minedge = heapq.heappop(edgelist)
        
        if not used[minedge%(10**6)]:
            continue
        v = minedge%(10**6)
        d[v] = minedge//(10**6)
        used[v] = False
        for e in edge[v]:
            if used[e[1]]:
                heapq.heappush(edgelist,(e[0]+d[v])*(10**6)+e[1])
    return d


def factorization(n):
    arr = []
    temp = n
    for i in range(2, int(-(-n**0.5//1))+1):
        if temp%i==0:
            cnt=0
            while temp%i==0:
                cnt+=1
                temp //= i
            arr.append([i, cnt])

    if temp!=1:
        arr.append([temp, 1])

    if arr==[]:
        arr.append([n, 1])

    return arr


def lcm(x, y):
    return (x * y) // gcd(x, y)


def lcm_list(numbers):
    return reduce(lcm, numbers, 1)


def gcd_list(numbers):
    return reduce(gcd, numbers)






def eratosthenes(limit):
    A = [i for i in range(2, limit+1)]
    P = []

    while True:
        prime = min(A)
        
        if prime > sqrt(limit):
            break
            
        P.append(prime)
            
        i = 0
        while i < len(A):
            if A[i] % prime == 0:
                A.pop(i)
                continue
            i += 1
            
    for a in A:
        P.append(a)
            
    return P


def permutation_with_duplicates(L):

    if L == []:
        return [[]]

    else:
        ret = []

        
        S = sorted(set(L))

        for i in S:

            data = L[:]
            data.remove(i)

            for j in permutation_with_duplicates(data):
                ret.append([i] + j)

        return ret



n, x = map(int, input().split())
a = [0 for i in range(n + 1)]
for i in range(n + 1):
    if i == 0:
        a[i] = 1
    else:
        a[i] = a[i - 1] * 2 + 3
p = [0 for i in range(n + 1)]
for i in range(n + 1):
    if i == 0:
        p[i] = 1
    else:
        p[i] = p[i - 1] * 2 + 1

def func(n, x):
    if x == 0:
        return 0
    if n == 0:
        return 1    
    if x < a[n - 1]:
        return func(n - 1, x - 1)
    if x == a[n - 1]:
        return p[n - 1]
    if x == a[n - 1] + 1:
        return 1 + p[n - 1]
    return p[n - 1] + 1 + func(n - 1, x - a[n - 1] - 2) 
print(func(n, x))

import sys
import heapq
import re
from itertools import permutations
from bisect import bisect_left, bisect_right
from collections import Counter, deque
from fractions import gcd
from math import factorial, sqrt, ceil
from functools import lru_cache, reduce
INF = 1 << 60
MOD = 1000000007
sys.setrecursionlimit(10 ** 7)

# UnionFind
class UnionFind():
    def __init__(self, n):
        self.n = n
        self.parents = [-1] * n

    def find(self, x):
        if self.parents[x] < 0:
            return x
        else:
            self.parents[x] = self.find(self.parents[x])
            return self.parents[x]

    def union(self, x, y):
        x = self.find(x)
        y = self.find(y)

        if x == y:
            return

        if self.parents[x] > self.parents[y]:
            x, y = y, x

        self.parents[x] += self.parents[y]
        self.parents[y] = x

    def size(self, x):
        return -self.parents[self.find(x)]

    def same(self, x, y):
        return self.find(x) == self.find(y)

    def members(self, x):
        root = self.find(x)
        return [i for i in range(self.n) if self.find(i) == root]

    def roots(self):
        return [i for i, x in enumerate(self.parents) if x < 0]

    def group_count(self):
        return len(self.roots())

    def all_group_members(self):
        return {r: self.members(r) for r in self.roots()}

    def __str__(self):
        return '\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())

def is_prime(n):
    if n == 1:
        return False
    for i in range(2,int(n**0.5)+1):
        if n % i == 0:
            return False
    return True




def warshall_floyd(d, n):
    
    for k in range(n):
        for i in range(n):
            for j in range(n):
                d[i][j] = min(d[i][j],d[i][k] + d[k][j])
    return d



def dijkstra_heap(s, edge, n):
    
    d = [10**20] * n
    used = [True] * n 
    d[s] = 0
    used[s] = False
    edgelist = []
    for a,b in edge[s]:
        heapq.heappush(edgelist,a*(10**6)+b)
    while len(edgelist):
        minedge = heapq.heappop(edgelist)
        
        if not used[minedge%(10**6)]:
            continue
        v = minedge%(10**6)
        d[v] = minedge//(10**6)
        used[v] = False
        for e in edge[v]:
            if used[e[1]]:
                heapq.heappush(edgelist,(e[0]+d[v])*(10**6)+e[1])
    return d


def factorization(n):
    arr = []
    temp = n
    for i in range(2, int(-(-n**0.5//1))+1):
        if temp%i==0:
            cnt=0
            while temp%i==0:
                cnt+=1
                temp //= i
            arr.append([i, cnt])

    if temp!=1:
        arr.append([temp, 1])

    if arr==[]:
        arr.append([n, 1])

    return arr


def lcm(x, y):
    return (x * y) // gcd(x, y)


def lcm_list(numbers):
    return reduce(lcm, numbers, 1)


def gcd_list(numbers):
    return reduce(gcd, numbers)






def eratosthenes(limit):
    A = [i for i in range(2, limit+1)]
    P = []

    while True:
        prime = min(A)
        
        if prime > sqrt(limit):
            break
            
        P.append(prime)
            
        i = 0
        while i < len(A):
            if A[i] % prime == 0:
                A.pop(i)
                continue
            i += 1
            
    for a in A:
        P.append(a)
            
    return P


def permutation_with_duplicates(L):

    if L == []:
        return [[]]

    else:
        ret = []

        
        S = sorted(set(L))

        for i in S:

            data = L[:]
            data.remove(i)

            for j in permutation_with_duplicates(data):
                ret.append([i] + j)

        return ret



n, x = map(int, input().split())
a = [0 for i in range(n + 1)]
for i in range(n + 1):
    if i == 0:
        a[i] = 1
    else:
        a[i] = a[i - 1] * 2 + 3
p = [0 for i in range(n + 1)]
for i in range(n + 1):
    if i == 0:
        p[i] = 1
    else:
        p[i] = p[i - 1] * 2 + 1

def func(n, x):
    if x == 0:
        return 0
    if n == 0:
        return 1
    if x < a[n - 1] + 1:
        return func(n - 1, x - 1)
    x -= a[n - 1] + 2
    return 1 + p[n - 1] + func(n - 1, x) 

print(func(n, x))

n, x = map(int, input().split())
ans = 0
 
hambargers = [1]
patties = [1]
 
for i in range(1, n+1):
    num = hambargers[i-1] * 2 + 3
    patty_num = patties[i-1] * 2 + 1
    hambargers.append(num)
    patties.append(patty_num)
 
def cal(N, X):
    if N == 0:
        return 0 if X <= 0 else 1
    elif X <= 1 + hambargers[N-1]:
        return cal(N-1, X-1)
    else:
        return patties[N-1] + 1 + cal(N-1, X-2-hambargers[N-1])
 
print(cal(n, x))

Verdicts: Wrong Answer

Runtime Error

Runtime Error

Wrong Answer

Wrong Answer

Wrong Answer

Wrong Answer

Accepted