Approach
Dynamic programming
For Codeforces 1670F — Jee, You See?, the implementation records answers for smaller states and reuses them to build the requested result without repeating work.
- Define precisely what one DP state represents.
- Establish the base cases before transitions are evaluated.
- Process states in dependency order and combine only already-known values.
Code notes
- 64 lines of Go from the credited upstream file 1670F.go.
- The implementation visibly relies on sequence storage, cached states.
- No explicit loop blocks detected.
Complexity
Multiply the number of reachable states by the work performed for each transition, then include the stored state table in memory usage.
Check the problem constraints before deciding whether this complexity will pass.
Use this to learn the idea, then write your own version.
1package main2 3import (4 . "fmt"5 "io"6 "math/bits"7)8 910func cf1670F(in io.Reader, out io.Writer) {11 const mod = 1_000_000_00712 var n, l, r, z int13 Fscan(in, &n, &l, &r, &z)14 cn := make([]int, n+1)15 inv := make([]int, n+1)16 cn[0] = 117 cn[1] = n18 inv[1] = 119 for i := 2; i <= n; i++ {20 inv[i] = (mod - mod/i) * inv[mod%i] % mod21 cn[i] = cn[i-1] * (n + 1 - i) % mod * inv[i] % mod22 }23 24 calc := func(r int) int {25 if r < z {26 return 027 }28 m := bits.Len(uint(r))29 dp := make([][][2]int, m)30 for i := range dp {31 dp[i] = make([][2]int, n)32 for j := range dp[i] {33 dp[i][j] = [2]int{-1, -1}34 }35 }36 var f func(int, int, int) int37 f = func(i, s, lessEq int) (res int) {38 if s>>(m-i) > 0 {39 return 040 }41 if i == m {42 return lessEq43 }44 p := &dp[i][s][lessEq]45 if *p >= 0 {46 return *p47 }48 le := [2]int{1, lessEq}49 if r>>i&1 == 0 {50 le = [2]int{lessEq, 0}51 }52 for j := z >> i & 1; j <= n; j += 2 {53 res = (res + f(i+1, (s+j)>>1, le[(s+j)&1])*cn[j]) % mod54 }55 *p = res56 return57 }58 return f(0, 0, 1)59 }60 Fprint(out, (calc(r)-calc(l-1)+mod)%mod)61}62 6364