v5.0.8.0

Some optimizers are added.
Now it can use cumulative sums.

Input:

# https://judge.yosupo.jp/problem/static_range_sum

from typing import *

def solve(n: int, q: int, a: List[int], l: List[int], r: List[int]) -> List[int]:
    ans = [-1 for _ in range(q)]
    for i in range(q):
        ans[i] = sum(a[l[i]:r[i]])
    return ans

Output:

std::vector<int64_t> solve(int64_t n_1653, int64_t q_1654,
                           std::vector<int64_t> a_1655,
                           std::vector<int64_t> l_1656,
                           std::vector<int64_t> r_1657) {
  std::vector<int64_t> x1658 = jikka::scanl<int64_t, int64_t>(
      [=](int64_t b1659) -> std::function<int64_t(int64_t)> {
        return [=](int64_t b1660) -> int64_t { return b1659 + b1660; };
      },
      0, a_1655);
  return jikka::fmap<int64_t, int64_t>(
      [=](int64_t b1661) -> int64_t {
        return x1658[(r_1657[b1661] + (-l_1656[b1661] + l_1656[b1661]))] +
               -x1658[l_1656[b1661]];
      },
      jikka::range1(q_1654));
}