結果

問題 No.3671 Reusable Lazy Segment Tree
コンテスト
ユーザー kemuniku
提出日時 2026-09-18 16:49:10
言語 Nim
(2.2.10 + ACL)
コンパイル:
nim --nimcache=~ --hints:off -o:a.out -d:release cpp _filename_
実行:
./a.out
結果
AC  
実行時間 3,924 ms / 6,000 ms
+ 952µs
コード長 45,862 bytes
記録
記録タグの例:
初AC ショートコード 純ショートコード 純主流ショートコード 最速実行時間
コンパイル時間 4,252 ms
コンパイル使用メモリ 103,680 KB
実行使用メモリ 62,976 KB
最終ジャッジ日時 2026-09-18 16:49:41
合計ジャッジ時間 29,421 ms
ジャッジサーバーID
(参考情報)
judge3_1 / judge2_0
このコードへのチャレンジ
(要ログイン)
ファイルパターン 結果
sample AC * 1
other AC * 19
権限があれば一括ダウンロードができます
コンパイルメッセージ
/home/judge/data/code/Main.nim(82, 13) template/generic instantiation of `cplibRestore` from here
(21, 18) template/generic instantiation of `cplibUnpackSource` from here
(2226, 39) Warning: owner is deprecated [Deprecated]
/home/judge/data/code/Main.nim(82, 13) template/generic instantiation of `cplibRestore` from here
(21, 18) template/generic instantiation of `cplibUnpackSource` from here
(2226, 81) Warning: owner is deprecated [Deprecated]
/home/judge/data/code/Main.nim(82, 13) template/generic instantiation of `cplibRestore` from here
(21, 18) template/generic instantiation of `cplibUnpackSource` from here
(2263, 41) Warning: owner is deprecated [Deprecated]
--- Self-Recompiling with optimized settings ---
Command: cd /home/judge/data/code && nim c -d:danger -d:second_compile --gc:arc --panics:on --opt:speed --checks:off --passC:"-flto -m64 -march=native -ffast-math -funroll-loops -fipa-pta" --passL:"-flto" --hints:off --path:/home/linuxbrew/.linuxbrew/Cellar/nim/2.2.10/nim/lib --path:/home/linuxbrew/.linuxbrew/Cellar/nim/2.2.10/nim/lib --path:/home/linuxbrew/.linuxbrew/Cellar/nim/2.2.10/nim/lib/deprecated/core --path:/home/linuxbrew/.linuxbrew/Cellar/nim/2.2.10/nim/lib/deprecated/pure --path:/home/linuxbrew/.linuxbrew/Cellar/nim/2.2.10/nim/lib/pure/collections --path:/home/linuxbrew/.linuxbrew/Cellar/nim/2.2.10/nim/lib/pure/concurrency --path:/home/linuxbrew/.linuxbrew/Cellar/nim/2.2.10/nim/lib/impure --path:/home/linuxbrew/.linuxbrew/Cellar/nim/2.2.10/nim/lib/wrappers --path:/home/linuxbrew/.linuxbrew/Cellar/nim/2.2.10/nim/lib/wrappers/linenoise --path:/home/linuxbrew/.linuxbrew/Cellar/nim/2.2.10/nim/lib/windows --path:/home/linuxbrew/.linuxbrew/Cellar/nim/2.2.10/nim/lib/posix --path:/home/linuxbrew/.linuxbrew/Cellar/nim/2.2.10/nim/lib/js --path:/home/linuxbrew/.linuxbrew/Cellar/nim/2.2.10/nim/lib/pure/unidecode --path:/home/linuxbrew/.linuxbrew/Cellar/nim/2.2.10/nim/lib/arch --path:/home/linuxbrew/.linuxbrew/Cellar/nim/2.2.10/nim/lib/core --path:/home/linuxb

ソースコード

diff #
raw source code

template originalSource() =
 include cplib/tmpl/sheep
 import cplib/collections/lazysegtree_static_op
 import cplib/utils/auto_rollback
 include cplib/tmpl/optimize
 
 optimizeCpp("""nim c -d:danger -d:second_compile --gc:arc --panics:on --opt:speed --checks:off --passC:"-flto -m64 -march=native -ffast-math -funroll-loops -fipa-pta" --passL:"-flto" --hints:off""")
 
 type F = (int,int)
 type S = (array[32,int32],int32)
 
 proc op(l,r:S):S=
     for i in 0..<32:
         result[0][i] = l[0][i] + r[0][i]
     result[1] = l[1] + r[1]
 
 proc composite(f, g: F): F =
     return (f[0] & g[0], (g[1] & f[0]) | f[1])
 
 proc mapping(f:F,x:S):S=
     result = x
     for i in 0..<32:
         if not f[0][i]:
             result[0][i] = 0
         if f[1][i]:
             result[0][i] = x[1]
 
 proc e():S=
     return
 
 
 proc to_S(x:int):S=
     result[1] = 1
     for i in 0..<32:
         if x[i]:
             result[0][i] = 1
 
 proc to_int(x:S):int=
     for i in 0..<32:
         result += x[0][i] * (1<<i)
 
 var N,M = ii()
 var A = lii(N).mapit(to_S(it))
 var st = initLazySegmentTree(A,op,e(),mapping,composite,(2**32-1,0))
 
 var l = lii(M)
 var r = lii(M)
 var x = lii(M)
 var L = lii(M)
 var R = lii(M)
 
 var Q = ii()
 
 for i in range(Q):
     var s,q = ii()
     var res = Temporary:
         var y = i+1
         for j in 1..q:
             var z = ((s+j) % M)+1
             var u = min(N,max(1,l[z-1] xor y))
             var v = min(N,max(1,r[z-1] xor y))
             var U = min(N,max(1,L[z-1] xor y))
             var V = min(N,max(1,R[z-1] xor y))
             var ll = min(u,v)-1
             var rr = max(u,v)
             var LL = min(U,V)-1
             var RR = max(U,V)
             if z mod 2 == 0:
                 st.apply(ll..<rr,(2**32-1,x[z-1] xor y))
             else:
                 st.apply(ll..<rr,(x[z-1] xor y,0))
             var tmp = st[LL..<RR].toint()
             y = tmp % (2**30)
         y
     print res
 



# https://github.com/kemuniku/cplib
import macros;macro cplibRestore(s:static[string]):untyped = parseStmt(s)
cplibRestore("import base64\x0Amacro cplibUnpackSource(): untyped =\x0A    # \xE3\x82\xB3\xE3\x83\xB3\xE3\x83\x91\xE3\x82\xA4\xE3\x83\xAB\xE6\x99\x82\xE3\x81\xAB\xE5\xB1\x95\xE9\x96\x8B\xE6\xB8\x88\xE3\x81\xBF\xE3\x82\xB3\xE3\x83\xBC\xE3\x83\x89\xE3\x82\x92\xE5\xBE\xA9\xE5\x85\x83\xE3\x81\x99\xE3\x82\x8B\xE3\x80\x82\x0A    let z = decode(\"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\")\x0A    var s = \"\"\x0A    var i = 0\x0A    while i < z.len:\x0A        let f = ord(z[i])\x0A        inc i\x0A        for b in 0..<8:\x0A            if i >= z.len: break\x0A            if (f and (1 shl b)) == 0:\x0A                s.add(z[i])\x0A                inc i\x0A            else:\x0A                let d = ord(z[i])*256+ord(z[i+1])\x0A                let n = ord(z[i+2])+3\x0A                i += 3\x0A                for j in 0..<n: s.add(s[s.len-d])\x0A    result = parseStmt(s)\x0AcplibUnpackSource()\x0A")
0