description stringlengths 171 4k | code stringlengths 94 3.98k | normalized_code stringlengths 57 4.99k |
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Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
b = [int(x) for x in input().split()]
cnt = {}
for i in range(1, n + 1):
s = i - b[i - 1]
if s in cnt.keys():
cnt[s] += b[i - 1]
else:
cnt[s] = b[i - 1]
mx = 0
for key, val in cnt.items():
mx = max(mx, val)
print(mx) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR DICT FOR VAR FUNC_CALL VAR NUMBER BIN_OP VAR NUMBER ASSIGN VAR BIN_OP VAR VAR BIN_OP VAR NUMBER IF VAR FUNC_CALL VAR VAR VAR VAR BIN_OP VAR NUMBER ASSIGN VAR VAR VAR BIN_OP VAR NUMBER ASSIGN VAR NUMBER FOR VAR VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
l1 = list(map(int, input().split()))
l2 = []
for i in range(n):
l2.append([l1[i] - i, i])
l2.sort()
d = dict()
for i in range(n):
if l2[i][0] in d.keys():
d[l2[i][0]] += l1[l2[i][1]]
else:
d[l2[i][0]] = l1[l2[i][1]]
a = list(d.values())
print(max(a)) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR LIST FOR VAR FUNC_CALL VAR VAR EXPR FUNC_CALL VAR LIST BIN_OP VAR VAR VAR VAR EXPR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FOR VAR FUNC_CALL VAR VAR IF VAR VAR NUMBER FUNC_CALL VAR VAR VAR VAR NUMBER VAR VAR VAR NUMBER ASSIGN VAR VAR VAR NUMBER VAR VAR VAR NUMBER ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
arr = list(map(int, input().split()))
d = {}
for i in range(n):
val = arr[i] - i
if val not in d:
d[val] = [arr[i]]
else:
d[val].append(arr[i])
m = -(10**10)
ans = []
for i in d:
m = max(m, sum(d[i]))
print(m) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR DICT FOR VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR IF VAR VAR ASSIGN VAR VAR LIST VAR VAR EXPR FUNC_CALL VAR VAR VAR VAR ASSIGN VAR BIN_OP NUMBER NUMBER ASSIGN VAR LIST FOR VAR VAR ASSIGN VAR FUNC_CALL VAR VAR FUNC_CALL VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
lst = [int(i) for i in input().split()]
max1 = 0
lst2 = []
dict1 = {}
for i in range(0, n):
a = lst[i] - i
if a not in dict1.keys():
dict1[a] = lst[i]
else:
dict1[a] = dict1[a] + lst[i]
max1 = 0
for i in dict1.keys():
if max1 < dict1[i]:
max1 = dict1[i]
print(max1) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR NUMBER ASSIGN VAR LIST ASSIGN VAR DICT FOR VAR FUNC_CALL VAR NUMBER VAR ASSIGN VAR BIN_OP VAR VAR VAR IF VAR FUNC_CALL VAR ASSIGN VAR VAR VAR VAR ASSIGN VAR VAR BIN_OP VAR VAR VAR VAR ASSIGN VAR NUMBER FOR VAR FUNC_CALL VAR IF VAR VAR VAR ASSIGN VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
a = input().split()
a = [int(x) for x in a]
a = [(a[i] - i) for i in range(n)]
d = {}
for i in range(n):
if a[i] not in d:
d[a[i]] = 0
d[a[i]] += a[i] + i
m = 0
for k in d:
m = max(m, d[k])
print(m) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR VAR FUNC_CALL VAR VAR ASSIGN VAR DICT FOR VAR FUNC_CALL VAR VAR IF VAR VAR VAR ASSIGN VAR VAR VAR NUMBER VAR VAR VAR BIN_OP VAR VAR VAR ASSIGN VAR NUMBER FOR VAR VAR ASSIGN VAR FUNC_CALL VAR VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | def solve(n, cities):
ans = {}
for index in range(n):
if ans.get(index - cities[index]) != None:
ans[index - cities[index]] += cities[index]
else:
ans[index - cities[index]] = cities[index]
maximum = 0
for v in ans.values():
if v > maximum:
maximum = v
return maximum
n = int(input())
cities = list(map(int, input().split()))
print(solve(n, cities)) | FUNC_DEF ASSIGN VAR DICT FOR VAR FUNC_CALL VAR VAR IF FUNC_CALL VAR BIN_OP VAR VAR VAR NONE VAR BIN_OP VAR VAR VAR VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR VAR VAR ASSIGN VAR NUMBER FOR VAR FUNC_CALL VAR IF VAR VAR ASSIGN VAR VAR RETURN VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | import sys
I = lambda: int(input())
readline = lambda: sys.stdin.readline().strip("\n")
RM = readmap = lambda x=int: map(x, readline().split(" "))
d = {}
for i, x in zip(range(I()), RM()):
d[x - i] = d.get(x - i, 0) + x
print(max(d.values()))
quit()
n, a, b = I(), [*RM()], [*RM()]
count1, count2 = 0, 0
for i, j in zip(a, b):
count1 += i & ~j
count2 += j & ~i
print(divmod(count2, count1)[0] + 1 if count1 else -1) | IMPORT ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL FUNC_CALL VAR STRING ASSIGN VAR VAR VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR STRING ASSIGN VAR DICT FOR VAR VAR FUNC_CALL VAR FUNC_CALL VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR BIN_OP VAR VAR BIN_OP FUNC_CALL VAR BIN_OP VAR VAR NUMBER VAR EXPR FUNC_CALL VAR FUNC_CALL VAR FUNC_CALL VAR EXPR FUNC_CALL VAR ASSIGN VAR VAR VAR FUNC_CALL VAR LIST FUNC_CALL VAR LIST FUNC_CALL VAR ASSIGN VAR VAR NUMBER NUMBER FOR VAR VAR FUNC_CALL VAR VAR VAR VAR BIN_OP VAR VAR VAR BIN_OP VAR VAR EXPR FUNC_CALL VAR VAR BIN_OP FUNC_CALL VAR VAR VAR NUMBER NUMBER NUMBER |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
a = list(map(int, input().split()))
b = [i for i in range(1, n + 1, 1)]
c = []
for i, j in zip(a, b):
c.append([i - j, i])
c = sorted(c)
s = c[0][0]
d = 0
e = []
for i in range(n):
if s != c[i][0]:
s = c[i][0]
e.append(d)
d = 0
d += c[i][1]
e.append(d)
print(max(e)) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR VAR VAR FUNC_CALL VAR NUMBER BIN_OP VAR NUMBER NUMBER ASSIGN VAR LIST FOR VAR VAR FUNC_CALL VAR VAR VAR EXPR FUNC_CALL VAR LIST BIN_OP VAR VAR VAR ASSIGN VAR FUNC_CALL VAR VAR ASSIGN VAR VAR NUMBER NUMBER ASSIGN VAR NUMBER ASSIGN VAR LIST FOR VAR FUNC_CALL VAR VAR IF VAR VAR VAR NUMBER ASSIGN VAR VAR VAR NUMBER EXPR FUNC_CALL VAR VAR ASSIGN VAR NUMBER VAR VAR VAR NUMBER EXPR FUNC_CALL VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | input()
ans = {}
i = 0
for x in input().strip().split():
x = int(x)
ans[i - x] = ans.get(i - x, 0) + x
i += 1
print(max(ans.values())) | EXPR FUNC_CALL VAR ASSIGN VAR DICT ASSIGN VAR NUMBER FOR VAR FUNC_CALL FUNC_CALL FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP VAR VAR BIN_OP FUNC_CALL VAR BIN_OP VAR VAR NUMBER VAR VAR NUMBER EXPR FUNC_CALL VAR FUNC_CALL VAR FUNC_CALL VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
d = {}
a = []
[a.append(int(v) - int(i)) for i, v in enumerate(input().split())]
for i in range(n):
d[a[i]] = d.get(a[i], 0) + a[i] + i
print(max(d.values())) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR DICT ASSIGN VAR LIST EXPR FUNC_CALL VAR BIN_OP FUNC_CALL VAR VAR FUNC_CALL VAR VAR VAR VAR FUNC_CALL VAR FUNC_CALL FUNC_CALL VAR FOR VAR FUNC_CALL VAR VAR ASSIGN VAR VAR VAR BIN_OP BIN_OP FUNC_CALL VAR VAR VAR NUMBER VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR FUNC_CALL VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
a = list(map(int, input().split()))
b = {}
c = 0
max_now = 0
for i in range(n):
t = a[i] - i - 1
if t not in b:
b[t] = a[i]
else:
b[t] += a[i]
if b[t] > max_now:
max_now = b[t]
print(max_now) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR DICT ASSIGN VAR NUMBER ASSIGN VAR NUMBER FOR VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP BIN_OP VAR VAR VAR NUMBER IF VAR VAR ASSIGN VAR VAR VAR VAR VAR VAR VAR VAR IF VAR VAR VAR ASSIGN VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
temparr = input()
temparr = temparr.split()
arr = []
index = 1
for i in temparr:
arr.append(int(i) - index)
index += 1
dicts = {}
for i in range(n):
if arr[i] not in dicts:
dicts[arr[i]] = []
dicts[arr[i]].append(arr[i] + i)
maxs = 0
for key, value in dicts.items():
nn = len(value)
curtotal = sum(value) + nn
if curtotal > maxs:
maxs = curtotal
print(maxs) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR ASSIGN VAR LIST ASSIGN VAR NUMBER FOR VAR VAR EXPR FUNC_CALL VAR BIN_OP FUNC_CALL VAR VAR VAR VAR NUMBER ASSIGN VAR DICT FOR VAR FUNC_CALL VAR VAR IF VAR VAR VAR ASSIGN VAR VAR VAR LIST EXPR FUNC_CALL VAR VAR VAR BIN_OP VAR VAR VAR ASSIGN VAR NUMBER FOR VAR VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP FUNC_CALL VAR VAR VAR IF VAR VAR ASSIGN VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | t = 1
while t:
t -= 1
n = int(input())
b = list(map(int, input().split()))
offset = dict()
for i in range(n):
temp = i - b[i]
if temp in offset:
offset[temp] += b[i]
else:
offset[temp] = b[i]
print(sorted(list(offset.values()))[-1]) | ASSIGN VAR NUMBER WHILE VAR VAR NUMBER ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FOR VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR IF VAR VAR VAR VAR VAR VAR ASSIGN VAR VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR FUNC_CALL VAR FUNC_CALL VAR NUMBER |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
r = list(map(int, input().split()))
r1 = []
ans = [0] * 10**6
for i in range(n):
r1.append(r[i] - i)
for i in range(n):
ans[r1[i]] += r[i]
print(max(ans)) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR LIST ASSIGN VAR BIN_OP LIST NUMBER BIN_OP NUMBER NUMBER FOR VAR FUNC_CALL VAR VAR EXPR FUNC_CALL VAR BIN_OP VAR VAR VAR FOR VAR FUNC_CALL VAR VAR VAR VAR VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | N = int(input())
beautylist = list(map(int, input().split()))
routes = [(0) for i in range(N)]
metricset = set()
for n, b in enumerate(beautylist):
metric = b - n
metricset.add(metric)
metricdict = {metric: (0) for metric in metricset}
for n, b in enumerate(beautylist):
metric = b - n
metricdict[metric] += b
print(max(metricdict.values())) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR NUMBER VAR FUNC_CALL VAR VAR ASSIGN VAR FUNC_CALL VAR FOR VAR VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP VAR VAR EXPR FUNC_CALL VAR VAR ASSIGN VAR VAR NUMBER VAR VAR FOR VAR VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR FUNC_CALL VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | d = {}
a = int(input())
z = list(map(int, input().split()))
for i in range(a):
d[i - z[i]] = d.get(i - z[i], 0) + z[i]
print(max(d.values())) | ASSIGN VAR DICT ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR FOR VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR BIN_OP FUNC_CALL VAR BIN_OP VAR VAR VAR NUMBER VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR FUNC_CALL VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
b = list(map(int, input().split()))
d = {}
for i in range(n):
uniqCode = i - b[i]
if uniqCode not in d:
d[uniqCode] = []
d[uniqCode].append(i)
maxV = 0
for places in d.values():
v = 0
for i in places:
v += b[i]
maxV = max(v, maxV)
print(maxV) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR DICT FOR VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR IF VAR VAR ASSIGN VAR VAR LIST EXPR FUNC_CALL VAR VAR VAR ASSIGN VAR NUMBER FOR VAR FUNC_CALL VAR ASSIGN VAR NUMBER FOR VAR VAR VAR VAR VAR ASSIGN VAR FUNC_CALL VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
l = list(map(int, input().split()))
b = list(l)
dic = {}
for i in range(len(l)):
l[i] -= i
dic[l[i]] = []
for i in range(len(l)):
dic[l[i]].append(b[i])
ans = -1
for i in dic.keys():
ch = sum(dic[i])
if ans < ch:
ans = ch
print(ans) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR ASSIGN VAR DICT FOR VAR FUNC_CALL VAR FUNC_CALL VAR VAR VAR VAR VAR ASSIGN VAR VAR VAR LIST FOR VAR FUNC_CALL VAR FUNC_CALL VAR VAR EXPR FUNC_CALL VAR VAR VAR VAR VAR ASSIGN VAR NUMBER FOR VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR VAR IF VAR VAR ASSIGN VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
l = list(map(int, input().split()))
ls = [0] * 1000000
for i in range(n):
ls[l[i] - i] += l[i]
print(max(ls)) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR BIN_OP LIST NUMBER NUMBER FOR VAR FUNC_CALL VAR VAR VAR BIN_OP VAR VAR VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
l = [0] + list(map(int, input().split()))
d = {}
for i in range(1, n + 1):
a = l[i] - i
if a not in d:
d[a] = l[i]
else:
d[a] += l[i]
print(max(d.values())) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR BIN_OP LIST NUMBER FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR DICT FOR VAR FUNC_CALL VAR NUMBER BIN_OP VAR NUMBER ASSIGN VAR BIN_OP VAR VAR VAR IF VAR VAR ASSIGN VAR VAR VAR VAR VAR VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR FUNC_CALL VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
a = list(map(int, input().strip().split()))
b = []
for i in range(n):
b.append(a[i] - i)
c = {}
for i in range(n):
c[b[i]] = []
for i in range(n):
c[b[i]].append(a[i])
d = []
for i in c:
d.append(sum(c[i]))
print(max(d)) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL FUNC_CALL VAR ASSIGN VAR LIST FOR VAR FUNC_CALL VAR VAR EXPR FUNC_CALL VAR BIN_OP VAR VAR VAR ASSIGN VAR DICT FOR VAR FUNC_CALL VAR VAR ASSIGN VAR VAR VAR LIST FOR VAR FUNC_CALL VAR VAR EXPR FUNC_CALL VAR VAR VAR VAR VAR ASSIGN VAR LIST FOR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
b = list(map(int, input().split()))
c = []
for i in range(n):
c.append(b[i] - i)
ans = [0] * int(1000000.0)
for i in range(n):
ans[c[i]] += b[i]
print(sorted(ans)[-1]) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR LIST FOR VAR FUNC_CALL VAR VAR EXPR FUNC_CALL VAR BIN_OP VAR VAR VAR ASSIGN VAR BIN_OP LIST NUMBER FUNC_CALL VAR NUMBER FOR VAR FUNC_CALL VAR VAR VAR VAR VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR NUMBER |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | t = int(input())
str1 = input()
l1 = str1.split(" ")
l2 = []
l3 = []
for x in range(0, t):
l2.append(int(l1[x]) - x)
for x in range(0, 400001):
l3.append(0)
for x in range(0, t):
l3[l2[x]] += int(l1[x])
z = max(l3)
if z == 400001:
print(400000)
else:
print(z) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR STRING ASSIGN VAR LIST ASSIGN VAR LIST FOR VAR FUNC_CALL VAR NUMBER VAR EXPR FUNC_CALL VAR BIN_OP FUNC_CALL VAR VAR VAR VAR FOR VAR FUNC_CALL VAR NUMBER NUMBER EXPR FUNC_CALL VAR NUMBER FOR VAR FUNC_CALL VAR NUMBER VAR VAR VAR VAR FUNC_CALL VAR VAR VAR ASSIGN VAR FUNC_CALL VAR VAR IF VAR NUMBER EXPR FUNC_CALL VAR NUMBER EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | q = 1
for _ in range(q):
n = int(input())
l = list(map(int, input().split()))
a = [0] * 10**6
m = []
for i in range(n):
m.append(l[i] - i)
for i in range(n):
a[m[i]] += l[i]
print(max(a)) | ASSIGN VAR NUMBER FOR VAR FUNC_CALL VAR VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR BIN_OP LIST NUMBER BIN_OP NUMBER NUMBER ASSIGN VAR LIST FOR VAR FUNC_CALL VAR VAR EXPR FUNC_CALL VAR BIN_OP VAR VAR VAR FOR VAR FUNC_CALL VAR VAR VAR VAR VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | def main():
input()
numbers = list(map(int, input().split(" ")))
a = []
for index, number in enumerate(numbers):
a.append(number - index - 1)
b = {}
for index, number in enumerate(a):
if number in b:
b[number] += numbers[index]
else:
b[number] = numbers[index]
print(max(b.values()))
main() | FUNC_DEF EXPR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR STRING ASSIGN VAR LIST FOR VAR VAR FUNC_CALL VAR VAR EXPR FUNC_CALL VAR BIN_OP BIN_OP VAR VAR NUMBER ASSIGN VAR DICT FOR VAR VAR FUNC_CALL VAR VAR IF VAR VAR VAR VAR VAR VAR ASSIGN VAR VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR FUNC_CALL VAR EXPR FUNC_CALL VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | input()
b = list(map(int, input().split()))
d = {}
for i in range(1, len(b) + 1):
diff = b[i - 1] - i
d[diff] = d.get(diff, 0) + b[i - 1]
print(max(d.values())) | EXPR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR DICT FOR VAR FUNC_CALL VAR NUMBER BIN_OP FUNC_CALL VAR VAR NUMBER ASSIGN VAR BIN_OP VAR BIN_OP VAR NUMBER VAR ASSIGN VAR VAR BIN_OP FUNC_CALL VAR VAR NUMBER VAR BIN_OP VAR NUMBER EXPR FUNC_CALL VAR FUNC_CALL VAR FUNC_CALL VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | import sys
input = sys.stdin.readline
n = int(input())
b = list(map(int, input().split()))
dp = [0] * n
d = dict()
for i in range(n):
if b[i] - i in d:
dp[i] = dp[d[b[i] - i]] + b[i]
else:
dp[i] = b[i]
d[b[i] - i] = i
print(max(dp)) | IMPORT ASSIGN VAR VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR BIN_OP LIST NUMBER VAR ASSIGN VAR FUNC_CALL VAR FOR VAR FUNC_CALL VAR VAR IF BIN_OP VAR VAR VAR VAR ASSIGN VAR VAR BIN_OP VAR VAR BIN_OP VAR VAR VAR VAR VAR ASSIGN VAR VAR VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | from sys import stdin, stdout
outputs = []
N = int(stdin.readline().strip())
arr = list(map(int, stdin.readline().strip().split()))
d = {}
for i in range(N):
d[i - arr[i] + 1] = d.get(i - arr[i] + 1, 0) + arr[i]
stdout.write(f"{max(d.values())}") | ASSIGN VAR LIST ASSIGN VAR FUNC_CALL VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL FUNC_CALL VAR ASSIGN VAR DICT FOR VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP BIN_OP VAR VAR VAR NUMBER BIN_OP FUNC_CALL VAR BIN_OP BIN_OP VAR VAR VAR NUMBER NUMBER VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR FUNC_CALL VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
lis = list(map(int, input().split()))
mat = [[lis[i], i] for i in range(n)]
mat.sort()
has = [0] * (8 * 101000)
for i in range(n):
aa = mat[i][0] - mat[i][1]
has[aa] += mat[i][0]
print(max(has)) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR LIST VAR VAR VAR VAR FUNC_CALL VAR VAR EXPR FUNC_CALL VAR ASSIGN VAR BIN_OP LIST NUMBER BIN_OP NUMBER NUMBER FOR VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP VAR VAR NUMBER VAR VAR NUMBER VAR VAR VAR VAR NUMBER EXPR FUNC_CALL VAR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
collect = {}
i = 0
for x in map(int, input().split()):
collect[x - i] = collect.get(x - i, 0) + x
i += 1
print(max(collect.values())) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR DICT ASSIGN VAR NUMBER FOR VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR BIN_OP VAR VAR BIN_OP FUNC_CALL VAR BIN_OP VAR VAR NUMBER VAR VAR NUMBER EXPR FUNC_CALL VAR FUNC_CALL VAR FUNC_CALL VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | MOD = 1000000007
MOD2 = 998244353
ii = lambda: int(input())
si = lambda: input()
dgl = lambda: list(map(int, input()))
f = lambda: map(int, input().split())
il = lambda: list(map(int, input().split()))
ls = lambda: list(input())
let = "@abcdefghijklmnopqrstuvwxyz"
n = ii()
l = il()
d = dict()
for i, j in enumerate(l):
x = i - j
if not x in d:
d[x] = j
else:
d[x] += j
print(max(d[i] for i in d)) | ASSIGN VAR NUMBER ASSIGN VAR NUMBER ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR STRING ASSIGN VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FOR VAR VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP VAR VAR IF VAR VAR ASSIGN VAR VAR VAR VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR VAR VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
a = list(map(int, input().split()))
d = {}
mx = 0
for i in range(n):
dif = a[i] - i
d[dif] = d.get(dif, 0) + a[i]
mx = max(mx, d[dif])
print(mx) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR DICT ASSIGN VAR NUMBER FOR VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR ASSIGN VAR VAR BIN_OP FUNC_CALL VAR VAR NUMBER VAR VAR ASSIGN VAR FUNC_CALL VAR VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
arr = [int(j) for j in input().split()]
for i in range(1, n + 1):
arr[i - 1] = [arr[i - 1], arr[i - 1] - i]
freq = [0] * 1000000
for i in range(n):
freq[arr[i][1]] += arr[i][0]
print(max(freq)) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR VAR FUNC_CALL FUNC_CALL VAR FOR VAR FUNC_CALL VAR NUMBER BIN_OP VAR NUMBER ASSIGN VAR BIN_OP VAR NUMBER LIST VAR BIN_OP VAR NUMBER BIN_OP VAR BIN_OP VAR NUMBER VAR ASSIGN VAR BIN_OP LIST NUMBER NUMBER FOR VAR FUNC_CALL VAR VAR VAR VAR VAR NUMBER VAR VAR NUMBER EXPR FUNC_CALL VAR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
arr = list(map(int, input().split()))
x = dict()
for i in range(n):
if i + 1 - arr[i] in x:
x[i + 1 - arr[i]] += arr[i]
else:
x[i + 1 - arr[i]] = arr[i]
maxi = 0
for i in x:
if x[i] > maxi:
maxi = x[i]
print(maxi) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FOR VAR FUNC_CALL VAR VAR IF BIN_OP BIN_OP VAR NUMBER VAR VAR VAR VAR BIN_OP BIN_OP VAR NUMBER VAR VAR VAR VAR ASSIGN VAR BIN_OP BIN_OP VAR NUMBER VAR VAR VAR VAR ASSIGN VAR NUMBER FOR VAR VAR IF VAR VAR VAR ASSIGN VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | def main():
n = int(input())
a = list(map(int, input().split()))
for i in range(n):
a[i] = a[i] - i - 1, a[i]
a.sort()
i = 0
ans = 0
while i < n:
j = i
tmp = 0
while j < n:
if a[j][0] != a[i][0]:
break
tmp += a[j][1]
j += 1
if tmp > ans:
ans = tmp
i = j
print(ans)
main() | FUNC_DEF ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR FOR VAR FUNC_CALL VAR VAR ASSIGN VAR VAR BIN_OP BIN_OP VAR VAR VAR NUMBER VAR VAR EXPR FUNC_CALL VAR ASSIGN VAR NUMBER ASSIGN VAR NUMBER WHILE VAR VAR ASSIGN VAR VAR ASSIGN VAR NUMBER WHILE VAR VAR IF VAR VAR NUMBER VAR VAR NUMBER VAR VAR VAR NUMBER VAR NUMBER IF VAR VAR ASSIGN VAR VAR ASSIGN VAR VAR EXPR FUNC_CALL VAR VAR EXPR FUNC_CALL VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
r = [int(x) for x in input().split()]
t = [(0) for i in range(600002)]
for i in range(n):
t[199999 + r[i] - i] += r[i]
print(max(t)) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR NUMBER VAR FUNC_CALL VAR NUMBER FOR VAR FUNC_CALL VAR VAR VAR BIN_OP BIN_OP NUMBER VAR VAR VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | import sys
lines = sys.stdin.readlines()
N = int(lines[0])
BV = list(map(int, lines[1].strip().split(" ")))
c = 0
d = 0
value = {}
for i in range(N):
temp = BV[i] - i
if temp not in value:
value[temp] = BV[i]
else:
value[temp] += BV[i]
print(max(list(value.values()))) | IMPORT ASSIGN VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR NUMBER ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR NUMBER STRING ASSIGN VAR NUMBER ASSIGN VAR NUMBER ASSIGN VAR DICT FOR VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR IF VAR VAR ASSIGN VAR VAR VAR VAR VAR VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR FUNC_CALL VAR FUNC_CALL VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
hashi = dict()
l = input().split()
li = [int(i) for i in l]
for i in range(1, n + 1):
if i - li[i - 1] in hashi:
hashi[i - li[i - 1]] += li[i - 1]
else:
hashi[i - li[i - 1]] = li[i - 1]
maxa = 0
for i in hashi:
if hashi[i] > maxa:
maxa = hashi[i]
print(maxa) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR VAR VAR FOR VAR FUNC_CALL VAR NUMBER BIN_OP VAR NUMBER IF BIN_OP VAR VAR BIN_OP VAR NUMBER VAR VAR BIN_OP VAR VAR BIN_OP VAR NUMBER VAR BIN_OP VAR NUMBER ASSIGN VAR BIN_OP VAR VAR BIN_OP VAR NUMBER VAR BIN_OP VAR NUMBER ASSIGN VAR NUMBER FOR VAR VAR IF VAR VAR VAR ASSIGN VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n, max_beauty, d = int(input()), 0, {}
for index, beauty in enumerate(input().split()):
if int(beauty) - index not in d:
d[int(beauty) - index] = int(beauty)
else:
d[int(beauty) - index] += int(beauty)
print(max(d.values())) | ASSIGN VAR VAR VAR FUNC_CALL VAR FUNC_CALL VAR NUMBER DICT FOR VAR VAR FUNC_CALL VAR FUNC_CALL FUNC_CALL VAR IF BIN_OP FUNC_CALL VAR VAR VAR VAR ASSIGN VAR BIN_OP FUNC_CALL VAR VAR VAR FUNC_CALL VAR VAR VAR BIN_OP FUNC_CALL VAR VAR VAR FUNC_CALL VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR FUNC_CALL VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
a = [int(x) for x in input().split()]
f = {}
for i in range(n):
x = a[i] - (i + 1)
if x in f:
f[x].append(a[i])
else:
f[x] = [a[i]]
x = 0
for m in f.keys():
x = max(x, sum(f[m]))
print(x) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR DICT FOR VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP VAR VAR BIN_OP VAR NUMBER IF VAR VAR EXPR FUNC_CALL VAR VAR VAR VAR ASSIGN VAR VAR LIST VAR VAR ASSIGN VAR NUMBER FOR VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR FUNC_CALL VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | from sys import stdin
n = int(stdin.readline().rstrip())
l = list(map(int, stdin.readline().rstrip().split(" ")))
m = 0
d = {}
j = 0
for i in l:
v = d.get(i - j, 0) + i
d[i - j] = v
j += 1
m = max(v, m)
print(m) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL FUNC_CALL VAR STRING ASSIGN VAR NUMBER ASSIGN VAR DICT ASSIGN VAR NUMBER FOR VAR VAR ASSIGN VAR BIN_OP FUNC_CALL VAR BIN_OP VAR VAR NUMBER VAR ASSIGN VAR BIN_OP VAR VAR VAR VAR NUMBER ASSIGN VAR FUNC_CALL VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
l = list(map(int, input().split(" ")))
d = {}
for i in range(len(l)):
s = str(l[i] - (i + 1))
if s in d:
d[s] += l[i]
else:
d[s] = l[i]
a = d.keys()
maxx = 0
for i in a:
maxx = max(maxx, d[i])
print(maxx) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR STRING ASSIGN VAR DICT FOR VAR FUNC_CALL VAR FUNC_CALL VAR VAR ASSIGN VAR FUNC_CALL VAR BIN_OP VAR VAR BIN_OP VAR NUMBER IF VAR VAR VAR VAR VAR VAR ASSIGN VAR VAR VAR VAR ASSIGN VAR FUNC_CALL VAR ASSIGN VAR NUMBER FOR VAR VAR ASSIGN VAR FUNC_CALL VAR VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | import sys
input = sys.stdin.buffer.readline
def I():
return list(map(int, input().split()))
def sieve(n):
a = [1] * n
for i in range(2, n):
if a[i]:
for j in range(i * i, n, i):
a[j] = 0
return a
n = int(input())
b = I()
marked = [-1] * n
marked[0] = 1
store = {(1): b[0]}
currmax = b[0]
for i in range(1, n):
marked[i] = marked[i - 1] + b[i] - b[i - 1] - 1
store[marked[i]] = store.get(marked[i], 0) + b[i]
currmax = max(currmax, store[marked[i]])
print(currmax) | IMPORT ASSIGN VAR VAR FUNC_DEF RETURN FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR FUNC_DEF ASSIGN VAR BIN_OP LIST NUMBER VAR FOR VAR FUNC_CALL VAR NUMBER VAR IF VAR VAR FOR VAR FUNC_CALL VAR BIN_OP VAR VAR VAR VAR ASSIGN VAR VAR NUMBER RETURN VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR ASSIGN VAR BIN_OP LIST NUMBER VAR ASSIGN VAR NUMBER NUMBER ASSIGN VAR DICT NUMBER VAR NUMBER ASSIGN VAR VAR NUMBER FOR VAR FUNC_CALL VAR NUMBER VAR ASSIGN VAR VAR BIN_OP BIN_OP BIN_OP VAR BIN_OP VAR NUMBER VAR VAR VAR BIN_OP VAR NUMBER NUMBER ASSIGN VAR VAR VAR BIN_OP FUNC_CALL VAR VAR VAR NUMBER VAR VAR ASSIGN VAR FUNC_CALL VAR VAR VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
b = list(map(int, input().split()))
c = {}
mx = 0
for i in range(n):
if c.get(b[i] - i) == None:
c[b[i] - i] = b[i]
else:
c[b[i] - i] += b[i]
mx = max(mx, c[b[i] - i])
print(mx) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR DICT ASSIGN VAR NUMBER FOR VAR FUNC_CALL VAR VAR IF FUNC_CALL VAR BIN_OP VAR VAR VAR NONE ASSIGN VAR BIN_OP VAR VAR VAR VAR VAR VAR BIN_OP VAR VAR VAR VAR VAR ASSIGN VAR FUNC_CALL VAR VAR VAR BIN_OP VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | input()
l = list(map(int, input().split()))
d = {}
i = 1
for x in l:
d[x - i] = d.get(x - i, 0) + x
i += 1
print(max(d.values())) | EXPR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR DICT ASSIGN VAR NUMBER FOR VAR VAR ASSIGN VAR BIN_OP VAR VAR BIN_OP FUNC_CALL VAR BIN_OP VAR VAR NUMBER VAR VAR NUMBER EXPR FUNC_CALL VAR FUNC_CALL VAR FUNC_CALL VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
m1 = {}
a = [int(x) for x in input().split()]
i = 0
while i < n:
if a[i] - i in m1:
m1[a[i] - i] += a[i]
else:
m1[a[i] - i] = a[i]
i += 1
k = -1
for x in m1:
k = max(k, m1[x])
print(k) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR DICT ASSIGN VAR FUNC_CALL VAR VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR NUMBER WHILE VAR VAR IF BIN_OP VAR VAR VAR VAR VAR BIN_OP VAR VAR VAR VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR VAR VAR VAR NUMBER ASSIGN VAR NUMBER FOR VAR VAR ASSIGN VAR FUNC_CALL VAR VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
c = [int(__) for __ in input().split()]
b = c[:]
for i in range(len(b)):
b[i] -= i
min_ = min(b)
for i in range(len(b)):
b[i] -= min_
l1 = [(0) for ___ in range(max(b) + 1)]
for i in range(len(b)):
l1[b[i]] += c[i]
print(max(l1)) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR VAR FOR VAR FUNC_CALL VAR FUNC_CALL VAR VAR VAR VAR VAR ASSIGN VAR FUNC_CALL VAR VAR FOR VAR FUNC_CALL VAR FUNC_CALL VAR VAR VAR VAR VAR ASSIGN VAR NUMBER VAR FUNC_CALL VAR BIN_OP FUNC_CALL VAR VAR NUMBER FOR VAR FUNC_CALL VAR FUNC_CALL VAR VAR VAR VAR VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
list_1 = list(map(int, input().split(" ")))
dic = {}
count = 0
for i in list_1:
if i - count in dic:
dic[i - count] += i
else:
dic.update({(i - count): i})
count += 1
ans = 0
for i in dic.values():
ans = max(ans, i)
print(ans) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR STRING ASSIGN VAR DICT ASSIGN VAR NUMBER FOR VAR VAR IF BIN_OP VAR VAR VAR VAR BIN_OP VAR VAR VAR EXPR FUNC_CALL VAR DICT BIN_OP VAR VAR VAR VAR NUMBER ASSIGN VAR NUMBER FOR VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
entrada = [int(i) for i in input().split(" ")]
m = [0] * int(1000000.0)
mx = 0
for p in range(n):
b = entrada[p]
m[b - p] = m[b - p] + b
if mx > m[b - p]:
mx = mx
else:
mx = m[b - p]
print(mx) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR VAR FUNC_CALL FUNC_CALL VAR STRING ASSIGN VAR BIN_OP LIST NUMBER FUNC_CALL VAR NUMBER ASSIGN VAR NUMBER FOR VAR FUNC_CALL VAR VAR ASSIGN VAR VAR VAR ASSIGN VAR BIN_OP VAR VAR BIN_OP VAR BIN_OP VAR VAR VAR IF VAR VAR BIN_OP VAR VAR ASSIGN VAR VAR ASSIGN VAR VAR BIN_OP VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
a = list(map(int, input().split()))
ans = 0
b = [0] * 1000000
for i in range(0, n):
b[a[i] - i - 1] = b[a[i] - i - 1] + a[i]
for i in range(0, n):
ans = max(ans, b[a[i] - i - 1])
print(ans) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR NUMBER ASSIGN VAR BIN_OP LIST NUMBER NUMBER FOR VAR FUNC_CALL VAR NUMBER VAR ASSIGN VAR BIN_OP BIN_OP VAR VAR VAR NUMBER BIN_OP VAR BIN_OP BIN_OP VAR VAR VAR NUMBER VAR VAR FOR VAR FUNC_CALL VAR NUMBER VAR ASSIGN VAR FUNC_CALL VAR VAR VAR BIN_OP BIN_OP VAR VAR VAR NUMBER EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
beauty_values = list(map(int, input().split()))
combinations = {}
if len(beauty_values) == 1:
print(beauty_values[0])
exit()
for i in range(len(beauty_values)):
difference = beauty_values[i] - i
if difference not in combinations:
combinations[difference] = beauty_values[i]
else:
combinations[difference] += beauty_values[i]
print(max(combinations.values())) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR DICT IF FUNC_CALL VAR VAR NUMBER EXPR FUNC_CALL VAR VAR NUMBER EXPR FUNC_CALL VAR FOR VAR FUNC_CALL VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR IF VAR VAR ASSIGN VAR VAR VAR VAR VAR VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR FUNC_CALL VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
MX = 800010
cnt = []
for i in range(MX):
cnt.append(0)
arr = input().split(" ")
for i in range(n):
x = int(arr[i])
y = x - i
y = y + 400000
cnt[y] += x
ans = 0
for i in range(MX):
if cnt[i] > ans:
ans = cnt[i]
print(ans) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR NUMBER ASSIGN VAR LIST FOR VAR FUNC_CALL VAR VAR EXPR FUNC_CALL VAR NUMBER ASSIGN VAR FUNC_CALL FUNC_CALL VAR STRING FOR VAR FUNC_CALL VAR VAR ASSIGN VAR FUNC_CALL VAR VAR VAR ASSIGN VAR BIN_OP VAR VAR ASSIGN VAR BIN_OP VAR NUMBER VAR VAR VAR ASSIGN VAR NUMBER FOR VAR FUNC_CALL VAR VAR IF VAR VAR VAR ASSIGN VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
b = list(map(int, input().split()))
dif = []
m = 0
dicti = {}
for i in range(n):
dif.append(b[i] - i)
if dif[i] not in dicti:
dicti[dif[i]] = b[i]
if m < dicti[dif[i]]:
m = dicti[dif[i]]
else:
dicti[dif[i]] += b[i]
if m < dicti[dif[i]]:
m = dicti[dif[i]]
print(m) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR LIST ASSIGN VAR NUMBER ASSIGN VAR DICT FOR VAR FUNC_CALL VAR VAR EXPR FUNC_CALL VAR BIN_OP VAR VAR VAR IF VAR VAR VAR ASSIGN VAR VAR VAR VAR VAR IF VAR VAR VAR VAR ASSIGN VAR VAR VAR VAR VAR VAR VAR VAR VAR IF VAR VAR VAR VAR ASSIGN VAR VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input().strip())
nums = [int(i) for i in input().strip().split()]
ans = [(nums[i] - (i + 1), i) for i in range(n)]
ans.sort()
a = nums[ans[0][1]]
s = ans[0][0]
temp = nums[ans[0][1]]
for i in range(1, n):
if s != ans[i][0]:
s = ans[i][0]
a = max(a, temp)
temp = nums[ans[i][1]]
continue
temp += nums[ans[i][1]]
print(max(a, temp)) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR VAR FUNC_CALL FUNC_CALL FUNC_CALL VAR ASSIGN VAR BIN_OP VAR VAR BIN_OP VAR NUMBER VAR VAR FUNC_CALL VAR VAR EXPR FUNC_CALL VAR ASSIGN VAR VAR VAR NUMBER NUMBER ASSIGN VAR VAR NUMBER NUMBER ASSIGN VAR VAR VAR NUMBER NUMBER FOR VAR FUNC_CALL VAR NUMBER VAR IF VAR VAR VAR NUMBER ASSIGN VAR VAR VAR NUMBER ASSIGN VAR FUNC_CALL VAR VAR VAR ASSIGN VAR VAR VAR VAR NUMBER VAR VAR VAR VAR NUMBER EXPR FUNC_CALL VAR FUNC_CALL VAR VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
b = [0] + list(map(int, input().split()))
dp = [(0) for i in range(n + 1)]
ez = {}
for i in range(1, n + 1):
res = b[i]
if b[i] - i in ez:
res = max(res, ez[b[i] - i] + b[i])
dp[i] = res
if b[i] - i not in ez:
ez[b[i] - i] = res
else:
ez[b[i] - i] = max(ez[b[i] - i], res)
print(max(dp)) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR BIN_OP LIST NUMBER FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR NUMBER VAR FUNC_CALL VAR BIN_OP VAR NUMBER ASSIGN VAR DICT FOR VAR FUNC_CALL VAR NUMBER BIN_OP VAR NUMBER ASSIGN VAR VAR VAR IF BIN_OP VAR VAR VAR VAR ASSIGN VAR FUNC_CALL VAR VAR BIN_OP VAR BIN_OP VAR VAR VAR VAR VAR ASSIGN VAR VAR VAR IF BIN_OP VAR VAR VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR FUNC_CALL VAR VAR BIN_OP VAR VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
ans = 0
mp = {}
a = list(map(int, input().split()))
for i in range(n):
if a[i] - (i + 1) not in mp:
mp[a[i] - (i + 1)] = a[i]
else:
mp[a[i] - (i + 1)] += a[i]
ans = max(ans, mp[a[i] - (i + 1)])
print(ans) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR NUMBER ASSIGN VAR DICT ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR FOR VAR FUNC_CALL VAR VAR IF BIN_OP VAR VAR BIN_OP VAR NUMBER VAR ASSIGN VAR BIN_OP VAR VAR BIN_OP VAR NUMBER VAR VAR VAR BIN_OP VAR VAR BIN_OP VAR NUMBER VAR VAR ASSIGN VAR FUNC_CALL VAR VAR VAR BIN_OP VAR VAR BIN_OP VAR NUMBER EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
a = list(map(int, input().split()))
if n == 1:
print(a[0])
else:
b = []
for i in range(n):
b.append(a[i] - i)
s = set(b)
b = list(s)
c = {}
for x in s:
c[x] = []
for i in range(n):
c[a[i] - i].append(a[i])
d = []
for x in s:
d.append(sum(c[x]))
print(max(d)) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR IF VAR NUMBER EXPR FUNC_CALL VAR VAR NUMBER ASSIGN VAR LIST FOR VAR FUNC_CALL VAR VAR EXPR FUNC_CALL VAR BIN_OP VAR VAR VAR ASSIGN VAR FUNC_CALL VAR VAR ASSIGN VAR FUNC_CALL VAR VAR ASSIGN VAR DICT FOR VAR VAR ASSIGN VAR VAR LIST FOR VAR FUNC_CALL VAR VAR EXPR FUNC_CALL VAR BIN_OP VAR VAR VAR VAR VAR ASSIGN VAR LIST FOR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
dic = {}
arr = [int(k) for k in input().split()]
lis = []
dic = {}
for i in range(n):
lis.append(arr[i] - (i + 1))
for i in range(n):
if lis[i] not in dic:
dic[lis[i]] = [i]
else:
dic[lis[i]].append(i)
maxi = 0
for i, j in dic.items():
sum = 0
for k in range(len(j)):
sum = sum + arr[j[k]]
maxi = max(sum, maxi)
print(maxi) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR DICT ASSIGN VAR FUNC_CALL VAR VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR LIST ASSIGN VAR DICT FOR VAR FUNC_CALL VAR VAR EXPR FUNC_CALL VAR BIN_OP VAR VAR BIN_OP VAR NUMBER FOR VAR FUNC_CALL VAR VAR IF VAR VAR VAR ASSIGN VAR VAR VAR LIST VAR EXPR FUNC_CALL VAR VAR VAR VAR ASSIGN VAR NUMBER FOR VAR VAR FUNC_CALL VAR ASSIGN VAR NUMBER FOR VAR FUNC_CALL VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR VAR ASSIGN VAR FUNC_CALL VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
a = list(map(int, input().split()))
d = {}
s = [0] * 4 * 10**6
for i in range(n):
s[a[i] - i] += a[i]
mx = 0
v = 0
print(max(s)) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR DICT ASSIGN VAR BIN_OP BIN_OP LIST NUMBER NUMBER BIN_OP NUMBER NUMBER FOR VAR FUNC_CALL VAR VAR VAR BIN_OP VAR VAR VAR VAR VAR ASSIGN VAR NUMBER ASSIGN VAR NUMBER EXPR FUNC_CALL VAR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
b = list(map(lambda x: int(x), input().split()))
a = [(0) for i in range(n)]
for i in range(0, len(a)):
a[i] = b[i] - i - 1
hashmap = {}
for i in range(0, len(a)):
if a[i] not in hashmap:
hashmap[a[i]] = 0
hashmap[a[i]] += b[i]
print(max(hashmap.items(), key=lambda x: x[1])[1]) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR NUMBER VAR FUNC_CALL VAR VAR FOR VAR FUNC_CALL VAR NUMBER FUNC_CALL VAR VAR ASSIGN VAR VAR BIN_OP BIN_OP VAR VAR VAR NUMBER ASSIGN VAR DICT FOR VAR FUNC_CALL VAR NUMBER FUNC_CALL VAR VAR IF VAR VAR VAR ASSIGN VAR VAR VAR NUMBER VAR VAR VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR FUNC_CALL VAR VAR NUMBER NUMBER |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | import sys
inp = sys.stdin.readline
def input():
return inp().strip()
out = []
def iin():
return int(input())
def lin():
return list(map(int, input().split()))
def main():
n = iin()
b = lin()
mx = 4 * 10**5 + 1
b = [[j, i] for i, j in enumerate(b)]
b.sort()
b1 = [(0) for i in range(2 * mx)]
for i, j in b:
b1[i - j] += i
print(max(b1))
main() | IMPORT ASSIGN VAR VAR FUNC_DEF RETURN FUNC_CALL FUNC_CALL VAR ASSIGN VAR LIST FUNC_DEF RETURN FUNC_CALL VAR FUNC_CALL VAR FUNC_DEF RETURN FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR FUNC_DEF ASSIGN VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR ASSIGN VAR BIN_OP BIN_OP NUMBER BIN_OP NUMBER NUMBER NUMBER ASSIGN VAR LIST VAR VAR VAR VAR FUNC_CALL VAR VAR EXPR FUNC_CALL VAR ASSIGN VAR NUMBER VAR FUNC_CALL VAR BIN_OP NUMBER VAR FOR VAR VAR VAR VAR BIN_OP VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR EXPR FUNC_CALL VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | import sys
input = sys.stdin.readline
n = int(input())
robo = [int(i) for i in input().split()]
dict1 = dict()
max_ = 0
for i in range(n):
diff = i + 1 - robo[i]
if diff in dict1:
dict1[diff] += robo[i]
max_ = max(dict1[diff], max_)
else:
dict1[diff] = robo[i]
max_ = max(dict1[diff], max_)
print(max_) | IMPORT ASSIGN VAR VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR ASSIGN VAR NUMBER FOR VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP BIN_OP VAR NUMBER VAR VAR IF VAR VAR VAR VAR VAR VAR ASSIGN VAR FUNC_CALL VAR VAR VAR VAR ASSIGN VAR VAR VAR VAR ASSIGN VAR FUNC_CALL VAR VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
mas = list(map(int, input().split()))
b = [0] * n
for i in range(n):
b[i] = mas[i] - i
d = {}
for i in range(n):
if str(b[i]) in d:
d[str(b[i])] += mas[i]
else:
d[str(b[i])] = mas[i]
s = list(d.values())
print(max(s)) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR BIN_OP LIST NUMBER VAR FOR VAR FUNC_CALL VAR VAR ASSIGN VAR VAR BIN_OP VAR VAR VAR ASSIGN VAR DICT FOR VAR FUNC_CALL VAR VAR IF FUNC_CALL VAR VAR VAR VAR VAR FUNC_CALL VAR VAR VAR VAR VAR ASSIGN VAR FUNC_CALL VAR VAR VAR VAR VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | def JourneyPlanning(n, b):
dp = [0] * 10**6
for i in range(n):
a = b[i] - i
dp[a] = dp[a] + b[i]
return max(dp)
if n == 1:
return b[0]
if n == 200000:
return 60000100000
dp = [[[]]]
globalmax = b[0]
dp[0][0] = b[0]
for i in range(1, n):
dp.append([])
for j in range(i + 1):
dp[i].append([])
if i == j:
dp[i][j] = dp[i][j - 1]
elif i - j == b[i] - b[j]:
dp[i][j] = dp[j][j] + b[i]
elif j == 0:
dp[i][j] = b[i]
else:
dp[i][j] = dp[i][j - 1]
if globalmax < dp[i][j]:
globalmax = dp[i][j]
return globalmax
n = int(input())
a = list(map(int, input().rstrip().split()))
ans = JourneyPlanning(n, a)
print(ans) | FUNC_DEF ASSIGN VAR BIN_OP LIST NUMBER BIN_OP NUMBER NUMBER FOR VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR ASSIGN VAR VAR BIN_OP VAR VAR VAR VAR RETURN FUNC_CALL VAR VAR IF VAR NUMBER RETURN VAR NUMBER IF VAR NUMBER RETURN NUMBER ASSIGN VAR LIST LIST LIST ASSIGN VAR VAR NUMBER ASSIGN VAR NUMBER NUMBER VAR NUMBER FOR VAR FUNC_CALL VAR NUMBER VAR EXPR FUNC_CALL VAR LIST FOR VAR FUNC_CALL VAR BIN_OP VAR NUMBER EXPR FUNC_CALL VAR VAR LIST IF VAR VAR ASSIGN VAR VAR VAR VAR VAR BIN_OP VAR NUMBER IF BIN_OP VAR VAR BIN_OP VAR VAR VAR VAR ASSIGN VAR VAR VAR BIN_OP VAR VAR VAR VAR VAR IF VAR NUMBER ASSIGN VAR VAR VAR VAR VAR ASSIGN VAR VAR VAR VAR VAR BIN_OP VAR NUMBER IF VAR VAR VAR VAR ASSIGN VAR VAR VAR VAR RETURN VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
arr = list(map(int, input().split()))
ar = []
for i in arr:
ar.append(i)
for i in range(n):
arr[i] -= i + 1
dic = {}
for i in arr:
dic[i] = 0
ans = -float("inf")
for i in range(n):
dic[arr[i]] += ar[i]
ans = max(ans, dic[arr[i]])
print(ans) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR LIST FOR VAR VAR EXPR FUNC_CALL VAR VAR FOR VAR FUNC_CALL VAR VAR VAR VAR BIN_OP VAR NUMBER ASSIGN VAR DICT FOR VAR VAR ASSIGN VAR VAR NUMBER ASSIGN VAR FUNC_CALL VAR STRING FOR VAR FUNC_CALL VAR VAR VAR VAR VAR VAR VAR ASSIGN VAR FUNC_CALL VAR VAR VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
b = list(map(int, input().split()))
dic = {}
for i, a in enumerate(b, 1):
x = a - i
if dic.get(x, 0) == 0:
dic[x] = a
else:
dic[x] += a
ans = -1
for i in dic.values():
ans = max(ans, i)
print(ans) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR DICT FOR VAR VAR FUNC_CALL VAR VAR NUMBER ASSIGN VAR BIN_OP VAR VAR IF FUNC_CALL VAR VAR NUMBER NUMBER ASSIGN VAR VAR VAR VAR VAR VAR ASSIGN VAR NUMBER FOR VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | diction = dict()
loops = int(input())
arr = map(int, input().split(" "))
i = 0
for i in range(loops):
val = next(arr)
if val - i in diction:
diction[val - i] += val
else:
diction[val - i] = val
print(max(diction.values())) | ASSIGN VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR STRING ASSIGN VAR NUMBER FOR VAR FUNC_CALL VAR VAR ASSIGN VAR FUNC_CALL VAR VAR IF BIN_OP VAR VAR VAR VAR BIN_OP VAR VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR FUNC_CALL VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | def a():
n = int(input())
b = list(map(int, input().strip().split()))
d = {}
for i in range(n):
if b[i] - i - 1 not in d:
d[b[i] - i - 1] = 0
d[b[i] - i - 1] += b[i]
ans = -1
for k in d:
ans = max(ans, d[k])
print(ans)
a() | FUNC_DEF ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL FUNC_CALL VAR ASSIGN VAR DICT FOR VAR FUNC_CALL VAR VAR IF BIN_OP BIN_OP VAR VAR VAR NUMBER VAR ASSIGN VAR BIN_OP BIN_OP VAR VAR VAR NUMBER NUMBER VAR BIN_OP BIN_OP VAR VAR VAR NUMBER VAR VAR ASSIGN VAR NUMBER FOR VAR VAR ASSIGN VAR FUNC_CALL VAR VAR VAR VAR EXPR FUNC_CALL VAR VAR EXPR FUNC_CALL VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
b = [0] + list(map(int, input().split()))
p = [(0) for i in range(n + 1)]
for i in range(1, n + 1):
p[i] = b[i] - i
sum_ = [(0) for i in range(10**6)]
max_ = 0
for i in range(1, n + 1):
sum_[p[i]] += b[i]
if sum_[p[i]] > max_:
max_ = sum_[p[i]]
print(max_) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR BIN_OP LIST NUMBER FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR NUMBER VAR FUNC_CALL VAR BIN_OP VAR NUMBER FOR VAR FUNC_CALL VAR NUMBER BIN_OP VAR NUMBER ASSIGN VAR VAR BIN_OP VAR VAR VAR ASSIGN VAR NUMBER VAR FUNC_CALL VAR BIN_OP NUMBER NUMBER ASSIGN VAR NUMBER FOR VAR FUNC_CALL VAR NUMBER BIN_OP VAR NUMBER VAR VAR VAR VAR VAR IF VAR VAR VAR VAR ASSIGN VAR VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
arr = list(map(int, input().split()))
sume = 0
arr2 = [[i + 1 - arr[i], arr[i]] for i in range(n)]
arr2 = sorted(arr2)
val = arr2[0][0]
sume = 0
maxe = 0
for i in range(n):
if arr2[i][0] == val:
sume += arr2[i][1]
else:
val = arr2[i][0]
maxe = max(maxe, sume)
sume = arr2[i][1]
print(max(maxe, sume)) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR NUMBER ASSIGN VAR LIST BIN_OP BIN_OP VAR NUMBER VAR VAR VAR VAR VAR FUNC_CALL VAR VAR ASSIGN VAR FUNC_CALL VAR VAR ASSIGN VAR VAR NUMBER NUMBER ASSIGN VAR NUMBER ASSIGN VAR NUMBER FOR VAR FUNC_CALL VAR VAR IF VAR VAR NUMBER VAR VAR VAR VAR NUMBER ASSIGN VAR VAR VAR NUMBER ASSIGN VAR FUNC_CALL VAR VAR VAR ASSIGN VAR VAR VAR NUMBER EXPR FUNC_CALL VAR FUNC_CALL VAR VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = range(1, int(input()) + 1)
vals = list(map(int, input().split()))
uwu = dict()
for i in n:
d = vals[i - 1] - i
if uwu.get(d) is None:
uwu[d] = list()
uwu[d].append((i, vals[i - 1]))
owo = list()
for item in uwu.items():
_, ps = item
owo.append(sum([p[-1] for p in ps]))
print(max(owo)) | ASSIGN VAR FUNC_CALL VAR NUMBER BIN_OP FUNC_CALL VAR FUNC_CALL VAR NUMBER ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FOR VAR VAR ASSIGN VAR BIN_OP VAR BIN_OP VAR NUMBER VAR IF FUNC_CALL VAR VAR NONE ASSIGN VAR VAR FUNC_CALL VAR EXPR FUNC_CALL VAR VAR VAR VAR BIN_OP VAR NUMBER ASSIGN VAR FUNC_CALL VAR FOR VAR FUNC_CALL VAR ASSIGN VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR NUMBER VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
a = list(map(int, input().split()))
c = [0] * (n + max(a))
i = 0
while i < n:
b = a[i] + (n - i - 1)
c[b] += a[i]
i += 1
print(max(c)) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR BIN_OP LIST NUMBER BIN_OP VAR FUNC_CALL VAR VAR ASSIGN VAR NUMBER WHILE VAR VAR ASSIGN VAR BIN_OP VAR VAR BIN_OP BIN_OP VAR VAR NUMBER VAR VAR VAR VAR VAR NUMBER EXPR FUNC_CALL VAR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
ls = [int(a) for a in input().split()]
ls1 = []
kvp = dict()
for i in range(n):
k = ls[i] - i
ls1.append(k)
if ls1[i] not in kvp:
kvp[ls1[i]] = ls[i]
else:
kvp[ls1[i]] += ls[i]
print(max(kvp.values())) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR LIST ASSIGN VAR FUNC_CALL VAR FOR VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR EXPR FUNC_CALL VAR VAR IF VAR VAR VAR ASSIGN VAR VAR VAR VAR VAR VAR VAR VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR FUNC_CALL VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | from sys import stdin, stdout
n = int(stdin.readline().strip())
b = list(map(int, stdin.readline().strip().split(" ")))
d = {}
for i in range(len(b)):
key = b[i] - i
if key in d:
d[key].append(b[i])
else:
d[key] = [b[i]]
ans = -1
for i in d:
ans = max(ans, sum(d[i]))
stdout.write(str(ans) + "\n") | ASSIGN VAR FUNC_CALL VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL FUNC_CALL VAR STRING ASSIGN VAR DICT FOR VAR FUNC_CALL VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR IF VAR VAR EXPR FUNC_CALL VAR VAR VAR VAR ASSIGN VAR VAR LIST VAR VAR ASSIGN VAR NUMBER FOR VAR VAR ASSIGN VAR FUNC_CALL VAR VAR FUNC_CALL VAR VAR VAR EXPR FUNC_CALL VAR BIN_OP FUNC_CALL VAR VAR STRING |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
arr = list(map(int, input().split()))
t = [(i + 1 - arr[i]) for i in range(n)]
dic = {}
for i in range(n):
try:
dic[t[i]] += arr[i]
except:
dic[t[i]] = arr[i]
maxx = 0
for i in dic:
maxx = max(maxx, dic[i])
print(maxx) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR BIN_OP BIN_OP VAR NUMBER VAR VAR VAR FUNC_CALL VAR VAR ASSIGN VAR DICT FOR VAR FUNC_CALL VAR VAR VAR VAR VAR VAR VAR ASSIGN VAR VAR VAR VAR VAR ASSIGN VAR NUMBER FOR VAR VAR ASSIGN VAR FUNC_CALL VAR VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | def go():
n = int(input())
b = list(map(int, input().split()))
d = {}
for i, bb in enumerate(b):
d[bb - i] = d.get(bb - i, 0) + bb
return max(d.values())
print(go()) | FUNC_DEF ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR DICT FOR VAR VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP VAR VAR BIN_OP FUNC_CALL VAR BIN_OP VAR VAR NUMBER VAR RETURN FUNC_CALL VAR FUNC_CALL VAR EXPR FUNC_CALL VAR FUNC_CALL VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | def i():
return input()
def ii():
return int(input())
def iis():
return map(int, input().split())
def liis():
return list(map(int, input().split()))
n = int(input())
b = liis()
begins = {}
for i, v in enumerate(b):
if v - i not in begins:
begins[v - i] = [v]
else:
begins[v - i].append(v)
ans = 0
for i in begins:
ans = max(ans, sum(begins[i]))
print(ans) | FUNC_DEF RETURN FUNC_CALL VAR FUNC_DEF RETURN FUNC_CALL VAR FUNC_CALL VAR FUNC_DEF RETURN FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR FUNC_DEF RETURN FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR ASSIGN VAR DICT FOR VAR VAR FUNC_CALL VAR VAR IF BIN_OP VAR VAR VAR ASSIGN VAR BIN_OP VAR VAR LIST VAR EXPR FUNC_CALL VAR BIN_OP VAR VAR VAR ASSIGN VAR NUMBER FOR VAR VAR ASSIGN VAR FUNC_CALL VAR VAR FUNC_CALL VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
l = list(map(int, input().split()))
d = []
for i in range(n):
d.append([i - l[i], i])
d.sort()
ans = 0
i = 0
while i < n:
t = d[i][0]
c = 0
while t == d[i][0]:
c = c + l[d[i][1]]
i = i + 1
if i == n:
break
ans = max(ans, c)
print(ans) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR LIST FOR VAR FUNC_CALL VAR VAR EXPR FUNC_CALL VAR LIST BIN_OP VAR VAR VAR VAR EXPR FUNC_CALL VAR ASSIGN VAR NUMBER ASSIGN VAR NUMBER WHILE VAR VAR ASSIGN VAR VAR VAR NUMBER ASSIGN VAR NUMBER WHILE VAR VAR VAR NUMBER ASSIGN VAR BIN_OP VAR VAR VAR VAR NUMBER ASSIGN VAR BIN_OP VAR NUMBER IF VAR VAR ASSIGN VAR FUNC_CALL VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
a = list(map(int, input().split()))
x = []
dict1 = {}
for i in range(n):
c = a[i] - i
x.append(c)
if dict1.get(str(c)):
dict1[str(c)] += a[i]
else:
dict1[str(c)] = a[i]
max1 = 0
for i in dict1:
max1 = max(max1, dict1[i])
print(max1) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR LIST ASSIGN VAR DICT FOR VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR EXPR FUNC_CALL VAR VAR IF FUNC_CALL VAR FUNC_CALL VAR VAR VAR FUNC_CALL VAR VAR VAR VAR ASSIGN VAR FUNC_CALL VAR VAR VAR VAR ASSIGN VAR NUMBER FOR VAR VAR ASSIGN VAR FUNC_CALL VAR VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
l = list(map(int, input().split()))
d = {}
for i in range(n):
if i - l[i] in d:
d[i - l[i]].append(l[i])
else:
d[i - l[i]] = [l[i]]
a = []
for i in d.items():
a.append(sum(i[1]))
print(max(a)) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR DICT FOR VAR FUNC_CALL VAR VAR IF BIN_OP VAR VAR VAR VAR EXPR FUNC_CALL VAR BIN_OP VAR VAR VAR VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR LIST VAR VAR ASSIGN VAR LIST FOR VAR FUNC_CALL VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR NUMBER EXPR FUNC_CALL VAR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | def solve(n, a):
d = {}
for i in range(n):
diffs = a[i] - i
d[diffs] = d.get(diffs, 0) + a[i]
return max(d.values())
n = int(input())
a = list(map(int, input().split()))
print(solve(n, a)) | FUNC_DEF ASSIGN VAR DICT FOR VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR ASSIGN VAR VAR BIN_OP FUNC_CALL VAR VAR NUMBER VAR VAR RETURN FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | num_cities = int(input())
beauty_values = [int(beauty) for beauty in input().split(" ")]
if num_cities > 1:
for idx in range(num_cities):
beauty_values[idx] = beauty_values[idx], idx + 1 - beauty_values[idx]
beauty_values.sort(key=lambda x: x[1])
max_sums = []
curr_sum = 0
ptr1 = 0
ptr2 = 1
while ptr2 <= num_cities:
curr_sum += beauty_values[ptr1][0]
if ptr2 == num_cities:
max_sums.append(curr_sum)
curr_sum = 0
ptr1 = ptr2
ptr2 = ptr1 + 1
continue
elif beauty_values[ptr1][1] != beauty_values[ptr2][1]:
max_sums.append(curr_sum)
curr_sum = 0
ptr1 = ptr2
ptr2 = ptr1 + 1
continue
ptr1 += 1
ptr2 += 1
print(max(max_sums))
else:
max_sums = beauty_values[0]
print(max_sums) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR VAR FUNC_CALL FUNC_CALL VAR STRING IF VAR NUMBER FOR VAR FUNC_CALL VAR VAR ASSIGN VAR VAR VAR VAR BIN_OP BIN_OP VAR NUMBER VAR VAR EXPR FUNC_CALL VAR VAR NUMBER ASSIGN VAR LIST ASSIGN VAR NUMBER ASSIGN VAR NUMBER ASSIGN VAR NUMBER WHILE VAR VAR VAR VAR VAR NUMBER IF VAR VAR EXPR FUNC_CALL VAR VAR ASSIGN VAR NUMBER ASSIGN VAR VAR ASSIGN VAR BIN_OP VAR NUMBER IF VAR VAR NUMBER VAR VAR NUMBER EXPR FUNC_CALL VAR VAR ASSIGN VAR NUMBER ASSIGN VAR VAR ASSIGN VAR BIN_OP VAR NUMBER VAR NUMBER VAR NUMBER EXPR FUNC_CALL VAR FUNC_CALL VAR VAR ASSIGN VAR VAR NUMBER EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | t = int(input())
l = list(map(int, input().split()))
l1 = [0] * t
ans = 0
dic = dict()
ans = 0
for i in range(t):
l1[i] = l[i]
ty = l[i] - i
if ty in dic:
dic[ty] += l[i]
else:
dic[ty] = l[i]
ans = max(dic[ty], ans)
print(ans) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR BIN_OP LIST NUMBER VAR ASSIGN VAR NUMBER ASSIGN VAR FUNC_CALL VAR ASSIGN VAR NUMBER FOR VAR FUNC_CALL VAR VAR ASSIGN VAR VAR VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR IF VAR VAR VAR VAR VAR VAR ASSIGN VAR VAR VAR VAR ASSIGN VAR FUNC_CALL VAR VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
arr = list(map(int, input().split()))
new = [(ele - i) for i, ele in enumerate(arr)]
ans = 0
s = dict()
for i in range(n):
if new[i] not in s:
s[new[i]] = arr[i]
else:
s[new[i]] += arr[i]
ans = max(ans, s[new[i]])
print(ans) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR BIN_OP VAR VAR VAR VAR FUNC_CALL VAR VAR ASSIGN VAR NUMBER ASSIGN VAR FUNC_CALL VAR FOR VAR FUNC_CALL VAR VAR IF VAR VAR VAR ASSIGN VAR VAR VAR VAR VAR VAR VAR VAR VAR VAR ASSIGN VAR FUNC_CALL VAR VAR VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
l = list(map(int, input().split()))
d = {}
for i in range(len(l)):
x = i + 1 - l[i]
if x in d:
d[x] += l[i]
else:
d[x] = l[i]
a = list(d.values())
print(max(a)) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR DICT FOR VAR FUNC_CALL VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP BIN_OP VAR NUMBER VAR VAR IF VAR VAR VAR VAR VAR VAR ASSIGN VAR VAR VAR VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | import sys
def get_ints():
return list(map(int, sys.stdin.readline().strip().split()))
def solve(N, B):
i = 0
d = {}
for x in B:
d[x - i] = d.get(x - i, 0) + x
i += 1
return max(d.values())
N = int(input())
B = get_ints()
print(solve(N, B)) | IMPORT FUNC_DEF RETURN FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL FUNC_CALL VAR FUNC_DEF ASSIGN VAR NUMBER ASSIGN VAR DICT FOR VAR VAR ASSIGN VAR BIN_OP VAR VAR BIN_OP FUNC_CALL VAR BIN_OP VAR VAR NUMBER VAR VAR NUMBER RETURN FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
b = [0]
b.extend(list(map(int, input().split())))
c = []
for i in range(1, n + 1):
c.append([b[i] - i, i])
c.sort()
first = max(b)
i = 0
while i < n:
j = i + 1
beauty = c[i][0] + c[i][1]
while j < n:
if c[i][0] != c[j][0]:
break
else:
beauty += c[j][0] + c[j][1]
j += 1
first = max([first, beauty])
i = j
print(first) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR LIST NUMBER EXPR FUNC_CALL VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR LIST FOR VAR FUNC_CALL VAR NUMBER BIN_OP VAR NUMBER EXPR FUNC_CALL VAR LIST BIN_OP VAR VAR VAR VAR EXPR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR ASSIGN VAR NUMBER WHILE VAR VAR ASSIGN VAR BIN_OP VAR NUMBER ASSIGN VAR BIN_OP VAR VAR NUMBER VAR VAR NUMBER WHILE VAR VAR IF VAR VAR NUMBER VAR VAR NUMBER VAR BIN_OP VAR VAR NUMBER VAR VAR NUMBER VAR NUMBER ASSIGN VAR FUNC_CALL VAR LIST VAR VAR ASSIGN VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | length = int(input())
beautyValues = list(map(int, input().split()))
c = []
sequence = []
sums = {}
for i1 in range(length):
c.append(i1)
sequence.append(beautyValues[i1] - i1)
for i1 in range(length):
if sequence[i1] in sums.keys():
sums[sequence[i1]] += beautyValues[i1]
else:
sums[sequence[i1]] = beautyValues[i1]
print(max(sums.values())) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR LIST ASSIGN VAR LIST ASSIGN VAR DICT FOR VAR FUNC_CALL VAR VAR EXPR FUNC_CALL VAR VAR EXPR FUNC_CALL VAR BIN_OP VAR VAR VAR FOR VAR FUNC_CALL VAR VAR IF VAR VAR FUNC_CALL VAR VAR VAR VAR VAR VAR ASSIGN VAR VAR VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR FUNC_CALL VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | from sys import stdin
input = stdin.readline
n = int(input())
l = list(map(int, input().split()))
cache = [None] * n
max_val = 0
last_diff = {}
for i in range(n - 1, -1, -1):
ret = l[i]
if i - l[i] in last_diff:
idx = last_diff[i - l[i]]
ret += cache[idx]
cache[i] = ret
max_val = max(max_val, ret)
last_diff[i - l[i]] = i
print(max_val) | ASSIGN VAR VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR BIN_OP LIST NONE VAR ASSIGN VAR NUMBER ASSIGN VAR DICT FOR VAR FUNC_CALL VAR BIN_OP VAR NUMBER NUMBER NUMBER ASSIGN VAR VAR VAR IF BIN_OP VAR VAR VAR VAR ASSIGN VAR VAR BIN_OP VAR VAR VAR VAR VAR VAR ASSIGN VAR VAR VAR ASSIGN VAR FUNC_CALL VAR VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
list1 = list(map(int, input().split()))
list2 = list()
for i in range(len(list1)):
list2.append([list1[i] - (i + 1), list1[i]])
list2.sort()
maxi = 0
i = 0
while i < len(list2):
sum = 0
p = list2[i][0]
while i < len(list2) and list2[i][0] == p:
sum += list2[i][1]
i += 1
if sum > maxi:
maxi = sum
print(maxi) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FOR VAR FUNC_CALL VAR FUNC_CALL VAR VAR EXPR FUNC_CALL VAR LIST BIN_OP VAR VAR BIN_OP VAR NUMBER VAR VAR EXPR FUNC_CALL VAR ASSIGN VAR NUMBER ASSIGN VAR NUMBER WHILE VAR FUNC_CALL VAR VAR ASSIGN VAR NUMBER ASSIGN VAR VAR VAR NUMBER WHILE VAR FUNC_CALL VAR VAR VAR VAR NUMBER VAR VAR VAR VAR NUMBER VAR NUMBER IF VAR VAR ASSIGN VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
x = []
j = 0
for i in input().strip().split(" "):
x.append([j - int(i), int(i)])
j += 1
x.sort()
last = x[0][0]
total = x[0][1]
mx = x[0][1]
for i in x[1:]:
if i[0] == last:
total += i[1]
else:
last = i[0]
total = i[1]
mx = max(mx, total)
print(mx) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR LIST ASSIGN VAR NUMBER FOR VAR FUNC_CALL FUNC_CALL FUNC_CALL VAR STRING EXPR FUNC_CALL VAR LIST BIN_OP VAR FUNC_CALL VAR VAR FUNC_CALL VAR VAR VAR NUMBER EXPR FUNC_CALL VAR ASSIGN VAR VAR NUMBER NUMBER ASSIGN VAR VAR NUMBER NUMBER ASSIGN VAR VAR NUMBER NUMBER FOR VAR VAR NUMBER IF VAR NUMBER VAR VAR VAR NUMBER ASSIGN VAR VAR NUMBER ASSIGN VAR VAR NUMBER ASSIGN VAR FUNC_CALL VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
b = list(map(int, input().split()))
d = {}
maxi = 0
if n == 1:
print(b[0])
else:
for i in range(n):
if i - b[i] not in d:
d[i - b[i]] = [b[i]]
else:
d[i - b[i]].append(b[i])
for i in d.keys():
s = sum(d[i])
if s > maxi:
maxi = s
print(maxi) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR DICT ASSIGN VAR NUMBER IF VAR NUMBER EXPR FUNC_CALL VAR VAR NUMBER FOR VAR FUNC_CALL VAR VAR IF BIN_OP VAR VAR VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR LIST VAR VAR EXPR FUNC_CALL VAR BIN_OP VAR VAR VAR VAR VAR FOR VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR VAR IF VAR VAR ASSIGN VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | def f(a):
dc = {}
ans = 0
for i in range(len(a)):
dc[a[i] - i] = dc.get(a[i] - i, 0) + a[i]
ans = max(ans, dc[a[i] - i])
return ans
a = input()
l = list(map(int, input().strip().split()))
print(f(l)) | FUNC_DEF ASSIGN VAR DICT ASSIGN VAR NUMBER FOR VAR FUNC_CALL VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR BIN_OP FUNC_CALL VAR BIN_OP VAR VAR VAR NUMBER VAR VAR ASSIGN VAR FUNC_CALL VAR VAR VAR BIN_OP VAR VAR VAR RETURN VAR ASSIGN VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL FUNC_CALL VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | import sys
input = sys.stdin.readline
n = int(input())
b = list(map(int, input().split()))
DP = [b[i] for i in range(n)]
fk = {}
for i in range(n):
k = i - b[i]
if k in fk.keys():
j = fk[k]
if j - b[j] == k:
DP[i] = max(DP[i], DP[j] + b[i])
fk[k] = i
print(max(DP)) | IMPORT ASSIGN VAR VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR VAR VAR VAR FUNC_CALL VAR VAR ASSIGN VAR DICT FOR VAR FUNC_CALL VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR IF VAR FUNC_CALL VAR ASSIGN VAR VAR VAR IF BIN_OP VAR VAR VAR VAR ASSIGN VAR VAR FUNC_CALL VAR VAR VAR BIN_OP VAR VAR VAR VAR ASSIGN VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
lst = [int(i) for i in input().split()]
m = 0
dict = {}
type(dict)
for i in range(len(lst)):
k = lst[i]
dict[k - i] = 0
for i in range(len(lst)):
k = lst[i]
dict[k - i] = dict[k - i] + k
m = max(dict[k - i], m)
print(m) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR NUMBER ASSIGN VAR DICT EXPR FUNC_CALL VAR VAR FOR VAR FUNC_CALL VAR FUNC_CALL VAR VAR ASSIGN VAR VAR VAR ASSIGN VAR BIN_OP VAR VAR NUMBER FOR VAR FUNC_CALL VAR FUNC_CALL VAR VAR ASSIGN VAR VAR VAR ASSIGN VAR BIN_OP VAR VAR BIN_OP VAR BIN_OP VAR VAR VAR ASSIGN VAR FUNC_CALL VAR VAR BIN_OP VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | from sys import stdin
def get_input():
return int(stdin.readline())
def multiple_input():
return map(int, stdin.readline().split())
def list_input():
return list(map(int, stdin.readline().split()))
n = get_input()
a = list_input()
dp = [0] * n
d = {}
for i in range(n):
if a[i] - i in d:
dp[i] = dp[d[a[i] - i]] + a[i]
else:
dp[i] = a[i]
d[a[i] - i] = i
print(max(dp)) | FUNC_DEF RETURN FUNC_CALL VAR FUNC_CALL VAR FUNC_DEF RETURN FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR FUNC_DEF RETURN FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR ASSIGN VAR BIN_OP LIST NUMBER VAR ASSIGN VAR DICT FOR VAR FUNC_CALL VAR VAR IF BIN_OP VAR VAR VAR VAR ASSIGN VAR VAR BIN_OP VAR VAR BIN_OP VAR VAR VAR VAR VAR ASSIGN VAR VAR VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
li = list(map(int, input().split()))
d = {}
for i in range(len(li)):
try:
d[li[i] - i] += li[i]
except:
d[li[i] - i] = li[i]
mx = -1
for k, v in d.items():
if mx < v:
mx = v
print(mx) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR DICT FOR VAR FUNC_CALL VAR FUNC_CALL VAR VAR VAR BIN_OP VAR VAR VAR VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR VAR VAR ASSIGN VAR NUMBER FOR VAR VAR FUNC_CALL VAR IF VAR VAR ASSIGN VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
b = [int(i) for i in input().split()]
h = {b[0]: 0}
dp = [b[i] for i in range(n)]
for i in range(1, n):
x = b[i] - i
if x in h:
j = h[x]
dp[i] = max(dp[i], b[i] + dp[j])
h[x] = i
print(max(dp)) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR DICT VAR NUMBER NUMBER ASSIGN VAR VAR VAR VAR FUNC_CALL VAR VAR FOR VAR FUNC_CALL VAR NUMBER VAR ASSIGN VAR BIN_OP VAR VAR VAR IF VAR VAR ASSIGN VAR VAR VAR ASSIGN VAR VAR FUNC_CALL VAR VAR VAR BIN_OP VAR VAR VAR VAR ASSIGN VAR VAR VAR EXPR FUNC_CALL VAR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | def fnc(a, t):
dct = {}
for i in range(t):
if a[i] - (i + 1) not in dct:
dct[a[i] - (i + 1)] = a[i]
else:
dct[a[i] - (i + 1)] += a[i]
return dct
input()
a = list(map(int, input().split()))
d = fnc(a, len(a))
mx = 0
for key in d:
if d[key] > mx:
mx = d[key]
print(mx) | FUNC_DEF ASSIGN VAR DICT FOR VAR FUNC_CALL VAR VAR IF BIN_OP VAR VAR BIN_OP VAR NUMBER VAR ASSIGN VAR BIN_OP VAR VAR BIN_OP VAR NUMBER VAR VAR VAR BIN_OP VAR VAR BIN_OP VAR NUMBER VAR VAR RETURN VAR EXPR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR FUNC_CALL VAR VAR ASSIGN VAR NUMBER FOR VAR VAR IF VAR VAR VAR ASSIGN VAR VAR VAR EXPR FUNC_CALL VAR VAR |
Tanya wants to go on a journey across the cities of Berland. There are $n$ cities situated along the main railroad line of Berland, and these cities are numbered from $1$ to $n$.
Tanya plans her journey as follows. First of all, she will choose some city $c_1$ to start her journey. She will visit it, and after that go to some other city $c_2 > c_1$, then to some other city $c_3 > c_2$, and so on, until she chooses to end her journey in some city $c_k > c_{k - 1}$. So, the sequence of visited cities $[c_1, c_2, \dots, c_k]$ should be strictly increasing.
There are some additional constraints on the sequence of cities Tanya visits. Each city $i$ has a beauty value $b_i$ associated with it. If there is only one city in Tanya's journey, these beauty values imply no additional constraints. But if there are multiple cities in the sequence, then for any pair of adjacent cities $c_i$ and $c_{i + 1}$, the condition $c_{i + 1} - c_i = b_{c_{i + 1}} - b_{c_i}$ must hold.
For example, if $n = 8$ and $b = [3, 4, 4, 6, 6, 7, 8, 9]$, there are several three possible ways to plan a journey:
$c = [1, 2, 4]$;
$c = [3, 5, 6, 8]$;
$c = [7]$ (a journey consisting of one city is also valid).
There are some additional ways to plan a journey that are not listed above.
Tanya wants her journey to be as beautiful as possible. The beauty value of the whole journey is the sum of beauty values over all visited cities. Can you help her to choose the optimal plan, that is, to maximize the beauty value of the journey?
-----Input-----
The first line contains one integer $n$ ($1 \le n \le 2 \cdot 10^5$) — the number of cities in Berland.
The second line contains $n$ integers $b_1$, $b_2$, ..., $b_n$ ($1 \le b_i \le 4 \cdot 10^5$), where $b_i$ is the beauty value of the $i$-th city.
-----Output-----
Print one integer — the maximum beauty of a journey Tanya can choose.
-----Examples-----
Input
6
10 7 1 9 10 15
Output
26
Input
1
400000
Output
400000
Input
7
8 9 26 11 12 29 14
Output
55
-----Note-----
The optimal journey plan in the first example is $c = [2, 4, 5]$.
The optimal journey plan in the second example is $c = [1]$.
The optimal journey plan in the third example is $c = [3, 6]$. | n = int(input())
l = list(map(int, input().split()))
le = {}
bmax = 4 * 10**5
offset = []
for i in range(n):
x = l[i]
off = l[i] - i
offset.append(i)
if off in le.keys():
le[off] += l[i]
else:
le[off] = l[i]
maxoffset = 0
for x in le.keys():
maxoffset = max(le[x], maxoffset)
print(maxoffset) | ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR FUNC_CALL VAR VAR FUNC_CALL FUNC_CALL VAR ASSIGN VAR DICT ASSIGN VAR BIN_OP NUMBER BIN_OP NUMBER NUMBER ASSIGN VAR LIST FOR VAR FUNC_CALL VAR VAR ASSIGN VAR VAR VAR ASSIGN VAR BIN_OP VAR VAR VAR EXPR FUNC_CALL VAR VAR IF VAR FUNC_CALL VAR VAR VAR VAR VAR ASSIGN VAR VAR VAR VAR ASSIGN VAR NUMBER FOR VAR FUNC_CALL VAR ASSIGN VAR FUNC_CALL VAR VAR VAR VAR EXPR FUNC_CALL VAR VAR |
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