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Overview
Comment:Add implementation of window function ntile().
Downloads: Tarball | ZIP archive
Timelines: family | ancestors | descendants | both | exp-window-functions
Files: files | file ages | folders
SHA3-256: 3f093f608c6cc193aac77e7eafa8006c27a7776682d9d7b6e743710dff41ae42
User & Date: dan 2018-06-04 18:55:11.391
Context
2018-06-05
16:16
Add implementation of last_value() window function. (check-in: 2493ce1a40 user: dan tags: exp-window-functions)
2018-06-04
18:55
Add implementation of window function ntile(). (check-in: 3f093f608c user: dan tags: exp-window-functions)
08:28
Merge latest trunk changes into this branch. (check-in: 83d6416a86 user: dan tags: exp-window-functions)
Changes
Unified Diff Ignore Whitespace Patch
Changes to src/window.c.
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  struct CallCount *p;
  p = (struct CallCount*)sqlite3_aggregate_context(pCtx, sizeof(*p));
  if( p ){
    double r = (double)(p->nStep) / (double)(p->nTotal);
    sqlite3_result_double(pCtx, r);
  }
}
































































static void nth_valueStepFunc(
  sqlite3_context *pCtx, 
  int nArg,
  sqlite3_value **apArg
){
}








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  struct CallCount *p;
  p = (struct CallCount*)sqlite3_aggregate_context(pCtx, sizeof(*p));
  if( p ){
    double r = (double)(p->nStep) / (double)(p->nTotal);
    sqlite3_result_double(pCtx, r);
  }
}

struct NtileCtx {
  i64 nTotal;                     /* Total rows in partition */
  i64 nParam;                     /* Parameter passed to ntile(N) */
  i64 iRow;                       /* Current row */
};

/*
** Implementation of ntile(). This assumes that the window frame has
** been coerced to:
**
**   ROWS UNBOUNDED PRECEDING AND CURRENT ROW
**
*/
static void ntileStepFunc(
  sqlite3_context *pCtx, 
  int nArg,
  sqlite3_value **apArg
){
  struct NtileCtx *p;
  assert( nArg==2 );
  p = (struct NtileCtx*)sqlite3_aggregate_context(pCtx, sizeof(*p));
  if( p ){
    if( p->nTotal==0 ){
      p->nParam = sqlite3_value_int64(apArg[0]);
      p->nTotal = sqlite3_value_int64(apArg[1]);
      if( p->nParam<=0 ){
        sqlite3_result_error(
            pCtx, "argument of ntile must be a positive integer", -1
        );
      }
    }
    p->iRow++;
  }
}
static void ntileInverseFunc(
  sqlite3_context *pCtx, 
  int nArg,
  sqlite3_value **apArg
){
}
static void ntileValueFunc(sqlite3_context *pCtx){
  struct NtileCtx *p;
  p = (struct NtileCtx*)sqlite3_aggregate_context(pCtx, sizeof(*p));
  if( p && p->nParam>0 ){
    int nSize = (p->nTotal / p->nParam);
    if( nSize==0 ){
      sqlite3_result_int64(pCtx, p->iRow);
    }else{
      i64 nLarge = p->nTotal - p->nParam*nSize;
      i64 iSmall = nLarge*(nSize+1);
      i64 iRow = p->iRow-1;

      assert( (nLarge*(nSize+1) + (p->nParam-nLarge)*nSize)==p->nTotal );

      if( iRow<iSmall ){
        sqlite3_result_int64(pCtx, 1 + iRow/(nSize+1));
      }else{
        sqlite3_result_int64(pCtx, 1 + nLarge + (iRow-iSmall)/nSize);
      }
    }
  }
}

static void nth_valueStepFunc(
  sqlite3_context *pCtx, 
  int nArg,
  sqlite3_value **apArg
){
}
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void sqlite3WindowFunctions(void){
  static FuncDef aWindowFuncs[] = {
    WINDOWFUNC(row_number, 0, 0),
    WINDOWFUNC(dense_rank, 0, 0),
    WINDOWFUNC(rank, 0, 0),
    WINDOWFUNC(percent_rank, 0, SQLITE_FUNC_WINDOW_SIZE),
    WINDOWFUNC(cume_dist, 0, SQLITE_FUNC_WINDOW_SIZE),

    WINDOWFUNC(nth_value, 2, 0),
  };
  sqlite3InsertBuiltinFuncs(aWindowFuncs, ArraySize(aWindowFuncs));
}

void sqlite3WindowUpdate(Parse *pParse, Window *pWin, FuncDef *pFunc){
  if( pFunc->funcFlags & SQLITE_FUNC_WINDOW ){
    sqlite3 *db = pParse->db;
    if( pFunc->xSFunc==row_numberStepFunc ){
      sqlite3ExprDelete(db, pWin->pStart);
      sqlite3ExprDelete(db, pWin->pEnd);
      pWin->pStart = pWin->pEnd = 0;
      pWin->eType = TK_ROWS;
      pWin->eStart = TK_UNBOUNDED;
      pWin->eEnd = TK_CURRENT;
    }








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void sqlite3WindowFunctions(void){
  static FuncDef aWindowFuncs[] = {
    WINDOWFUNC(row_number, 0, 0),
    WINDOWFUNC(dense_rank, 0, 0),
    WINDOWFUNC(rank, 0, 0),
    WINDOWFUNC(percent_rank, 0, SQLITE_FUNC_WINDOW_SIZE),
    WINDOWFUNC(cume_dist, 0, SQLITE_FUNC_WINDOW_SIZE),
    WINDOWFUNC(ntile, 1, SQLITE_FUNC_WINDOW_SIZE),
    WINDOWFUNC(nth_value, 2, 0),
  };
  sqlite3InsertBuiltinFuncs(aWindowFuncs, ArraySize(aWindowFuncs));
}

void sqlite3WindowUpdate(Parse *pParse, Window *pWin, FuncDef *pFunc){
  if( pFunc->funcFlags & SQLITE_FUNC_WINDOW ){
    sqlite3 *db = pParse->db;
    if( pFunc->xSFunc==row_numberStepFunc || pFunc->xSFunc==ntileStepFunc ){
      sqlite3ExprDelete(db, pWin->pStart);
      sqlite3ExprDelete(db, pWin->pEnd);
      pWin->pStart = pWin->pEnd = 0;
      pWin->eType = TK_ROWS;
      pWin->eStart = TK_UNBOUNDED;
      pWin->eEnd = TK_CURRENT;
    }
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  Vdbe *v = sqlite3GetVdbe(pParse);
  Window *pWin;
  for(pWin=pMWin; pWin; pWin=pWin->pNextWin){
    int flags = pWin->pFunc->funcFlags;
    int regArg;
    int nArg = pWin->nArg;

    if( flags & SQLITE_FUNC_WINDOW_SIZE ){
      regArg = regPartSize;
      nArg++;
    }else if( csr>=0 ){
      int i;
      for(i=0; i<pWin->nArg; i++){
        sqlite3VdbeAddOp3(v, OP_Column, csr, pWin->iArgCol+i, reg+i);
      }
      regArg = reg;



    }else{






      regArg = reg + pWin->iArgCol;
    }

    if( pWin->csrApp ){
      if( bInverse==0 ){
        sqlite3VdbeAddOp2(v, OP_AddImm, pWin->regApp+1, 1);
        sqlite3VdbeAddOp2(v, OP_SCopy, regArg, pWin->regApp);








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  Vdbe *v = sqlite3GetVdbe(pParse);
  Window *pWin;
  for(pWin=pMWin; pWin; pWin=pWin->pNextWin){
    int flags = pWin->pFunc->funcFlags;
    int regArg;
    int nArg = pWin->nArg;




    if( csr>=0 ){
      int i;
      for(i=0; i<pWin->nArg; i++){
        sqlite3VdbeAddOp3(v, OP_Column, csr, pWin->iArgCol+i, reg+i);
      }
      regArg = reg;
      if( flags & SQLITE_FUNC_WINDOW_SIZE ){
        if( nArg==0 ){
          regArg = regPartSize;
        }else{
          sqlite3VdbeAddOp2(v, OP_SCopy, regPartSize, reg+nArg);
        }
        nArg++;
      }
    }else{
      assert( !(flags & SQLITE_FUNC_WINDOW_SIZE) );
      regArg = reg + pWin->iArgCol;
    }

    if( pWin->csrApp ){
      if( bInverse==0 ){
        sqlite3VdbeAddOp2(v, OP_AddImm, pWin->regApp+1, 1);
        sqlite3VdbeAddOp2(v, OP_SCopy, regArg, pWin->regApp);
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    sqlite3VdbeAddOp3(v, OP_Subtract, regStart, regEnd, regEnd);
  }

  /* Initialize the accumulator register for each window function to NULL */
  nArg = 0;
  for(pWin=pMWin; pWin; pWin=pWin->pNextWin){
    sqlite3VdbeAddOp2(v, OP_Null, 0, pWin->regAccum);
    nArg = MAX(nArg, pWin->nArg);
  }
  regArg = pParse->nMem+1;
  pParse->nMem += nArg;

  sqlite3VdbeAddOp2(v, OP_Rewind, pMWin->iEphCsr, lblFlushDone);
  sqlite3VdbeAddOp2(v, OP_Rewind, csrStart, lblFlushDone);
  sqlite3VdbeChangeP5(v, 1);








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    sqlite3VdbeAddOp3(v, OP_Subtract, regStart, regEnd, regEnd);
  }

  /* Initialize the accumulator register for each window function to NULL */
  nArg = 0;
  for(pWin=pMWin; pWin; pWin=pWin->pNextWin){
    sqlite3VdbeAddOp2(v, OP_Null, 0, pWin->regAccum);
    nArg = MAX(nArg, pWin->nArg+1);
  }
  regArg = pParse->nMem+1;
  pParse->nMem += nArg;

  sqlite3VdbeAddOp2(v, OP_Rewind, pMWin->iEphCsr, lblFlushDone);
  sqlite3VdbeAddOp2(v, OP_Rewind, csrStart, lblFlushDone);
  sqlite3VdbeChangeP5(v, 1);
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Changes to test/window1.test.
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  5 2 6.5
  4 3 6.5.4
  3 4 6.5.4.3
  2 5 6.5.4.3.2
  1 6 6.5.4.3.2.1
  0 7 6.5.4.3.2.1.0
}
















finish_test








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  5 2 6.5
  4 3 6.5.4
  3 4 6.5.4.3
  2 5 6.5.4.3.2
  1 6 6.5.4.3.2.1
  0 7 6.5.4.3.2.1.0
}

do_catchsql_test 5.1 {
  SELECT ntile(0) OVER (ORDER BY a) FROM t2;
} {1 {argument of ntile must be a positive integer}}
do_catchsql_test 5.2 {
  SELECT ntile(-1) OVER (ORDER BY a) FROM t2;
} {1 {argument of ntile must be a positive integer}}
do_catchsql_test 5.3 {
  SELECT ntile('zbc') OVER (ORDER BY a) FROM t2;
} {1 {argument of ntile must be a positive integer}}
do_execsql_test 5.4 {
  CREATE TABLE t4(a, b);
  SELECT ntile(1) OVER (ORDER BY a) FROM t4;
} {}


finish_test
Changes to test/window3.tcl.
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  execsql_float_test 1.$tn.8.5 "
    SELECT cume_dist() OVER ( ORDER BY b%10 $window ) FROM t2
  "
  execsql_float_test 1.$tn.8.6 "
    SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 $window ) FROM t2
  "



















}


finish_test









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  execsql_float_test 1.$tn.8.5 "
    SELECT cume_dist() OVER ( ORDER BY b%10 $window ) FROM t2
  "
  execsql_float_test 1.$tn.8.6 "
    SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 $window ) FROM t2
  "

  execsql_float_test 1.$tn.8.1 "
    SELECT ntile(100) OVER ( ORDER BY a $window ) FROM t2
  "
  execsql_float_test 1.$tn.8.2 "
    SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a $window ) FROM t2
  "
  execsql_float_test 1.$tn.8.3 "
    SELECT ntile(102) OVER ( ORDER BY b,a $window ) FROM t2
  "
  execsql_float_test 1.$tn.8.4 "
    SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a $window ) FROM t2
  "
  execsql_float_test 1.$tn.8.5 "
    SELECT ntile(104) OVER ( ORDER BY b%10,a $window ) FROM t2
  "
  execsql_float_test 1.$tn.8.6 "
    SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 $window) FROM t2
  "

}

finish_test
Changes to test/window3.test.
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    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.1.8.1 {
  set myres {}
















  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres

} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}








































































do_execsql_test 1.2.2.1 {
  SELECT max(b) OVER ( ORDER BY a RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2
} {99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99}

do_execsql_test 1.2.2.2 {
  SELECT min(b) OVER ( ORDER BY a RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2








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    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.1.8.1 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}

do_test 1.1.8.2 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}

do_test 1.1.8.3 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}

do_test 1.1.8.4 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}

do_test 1.1.8.5 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.1.8.6 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.1.8.1 {
  set myres {}
  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}

do_test 1.1.8.2 {
  set myres {}
  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.1.8.3 {
  set myres {}
  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}

do_test 1.1.8.4 {
  set myres {}
  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.1.8.5 {
  set myres {}
  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}

do_test 1.1.8.6 {
  set myres {}
  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_execsql_test 1.2.2.1 {
  SELECT max(b) OVER ( ORDER BY a RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2
} {99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99}

do_execsql_test 1.2.2.2 {
  SELECT min(b) OVER ( ORDER BY a RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2
︙︙
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    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.2.8.1 {
  set myres {}
















  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres

} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}








































































do_execsql_test 1.3.2.1 {
  SELECT max(b) OVER ( ORDER BY a RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2
} {0   74   41   74   23   99   26   33   2   89   81   96   59   38   68   39   62   91   46   6   99   97   27   46   78   54   97   8   67   29   93   84   77   23   16   16   93   65   35   47   7   86   74   61   91   85   24   85   43   59   12   32   56   3   91   22   90   55   15   28   89   25   47   1   56   40   43   56   16   75   36   89   98   76   81   4   94   42   30   78   33   29   53   63   2   87   37   80   84   72   41   9   61   73   95   65   13   58   96   98   1   21   74   65   35   5   73   11   51   87   41   12   8   20   31   31   15   95   22   73   79   88   34   8   11   49   34   90   59   96   60   55   75   77   44   2   7   85   57   74   29   70   59   19   39   26   26   47   80   90   36   58   47   9   72   72   66   33   93   75   64   81   9   23   37   13   12   14   62   91   36   91   33   15   34   36   99   3   95   69   58   52   30   50   84   10   84   33   21   39   44   58   30   38   34   83   27   82   17   7}

do_execsql_test 1.3.2.2 {
  SELECT min(b) OVER ( ORDER BY a RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2








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    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.2.8.1 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}

do_test 1.2.8.2 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}

do_test 1.2.8.3 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}

do_test 1.2.8.4 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}

do_test 1.2.8.5 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.2.8.6 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.2.8.1 {
  set myres {}
  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}

do_test 1.2.8.2 {
  set myres {}
  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.2.8.3 {
  set myres {}
  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}

do_test 1.2.8.4 {
  set myres {}
  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.2.8.5 {
  set myres {}
  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}

do_test 1.2.8.6 {
  set myres {}
  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_execsql_test 1.3.2.1 {
  SELECT max(b) OVER ( ORDER BY a RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2
} {0   74   41   74   23   99   26   33   2   89   81   96   59   38   68   39   62   91   46   6   99   97   27   46   78   54   97   8   67   29   93   84   77   23   16   16   93   65   35   47   7   86   74   61   91   85   24   85   43   59   12   32   56   3   91   22   90   55   15   28   89   25   47   1   56   40   43   56   16   75   36   89   98   76   81   4   94   42   30   78   33   29   53   63   2   87   37   80   84   72   41   9   61   73   95   65   13   58   96   98   1   21   74   65   35   5   73   11   51   87   41   12   8   20   31   31   15   95   22   73   79   88   34   8   11   49   34   90   59   96   60   55   75   77   44   2   7   85   57   74   29   70   59   19   39   26   26   47   80   90   36   58   47   9   72   72   66   33   93   75   64   81   9   23   37   13   12   14   62   91   36   91   33   15   34   36   99   3   95   69   58   52   30   50   84   10   84   33   21   39   44   58   30   38   34   83   27   82   17   7}

do_execsql_test 1.3.2.2 {
  SELECT min(b) OVER ( ORDER BY a RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2
︙︙
431
432
433
434
435
436
437
















438
439
440
441

442







































































443
444
445
446
447
448
449

    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.3.8.1 {
  set myres {}
















  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres

} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}








































































do_execsql_test 1.4.2.1 {
  SELECT max(b) OVER ( ORDER BY a RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2
} {99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   95   95   84   84   84   84   84   84   84   84   83   83   83   83   83   83   83   83   83   82   82   17   7}

do_execsql_test 1.4.2.2 {
  SELECT min(b) OVER ( ORDER BY a RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2








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    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.3.8.1 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}

do_test 1.3.8.2 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}

do_test 1.3.8.3 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}

do_test 1.3.8.4 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}

do_test 1.3.8.5 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.3.8.6 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.3.8.1 {
  set myres {}
  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}

do_test 1.3.8.2 {
  set myres {}
  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.3.8.3 {
  set myres {}
  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}

do_test 1.3.8.4 {
  set myres {}
  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.3.8.5 {
  set myres {}
  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a RANGE BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}

do_test 1.3.8.6 {
  set myres {}
  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 RANGE BETWEEN CURRENT ROW         AND CURRENT ROW) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_execsql_test 1.4.2.1 {
  SELECT max(b) OVER ( ORDER BY a RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2
} {99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   95   95   84   84   84   84   84   84   84   84   83   83   83   83   83   83   83   83   83   82   82   17   7}

do_execsql_test 1.4.2.2 {
  SELECT min(b) OVER ( ORDER BY a RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2
︙︙
559
560
561
562
563
564
565
















566
567
568
569

570







































































571
572
573
574
575
576
577

    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.4.8.1 {
  set myres {}
















  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres

} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}








































































do_execsql_test 1.5.2.1 {
  SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2
} {{}   {}   {}   {}   0   74   74   74   74   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99}

do_execsql_test 1.5.2.2 {
  SELECT min(b) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2








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823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
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844
845
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848
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850
851
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895
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899
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901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929

    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.4.8.1 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}

do_test 1.4.8.2 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}

do_test 1.4.8.3 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}

do_test 1.4.8.4 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}

do_test 1.4.8.5 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.4.8.6 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.4.8.1 {
  set myres {}
  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}

do_test 1.4.8.2 {
  set myres {}
  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.4.8.3 {
  set myres {}
  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}

do_test 1.4.8.4 {
  set myres {}
  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.4.8.5 {
  set myres {}
  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}

do_test 1.4.8.6 {
  set myres {}
  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 RANGE BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_execsql_test 1.5.2.1 {
  SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2
} {{}   {}   {}   {}   0   74   74   74   74   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99}

do_execsql_test 1.5.2.2 {
  SELECT min(b) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2
︙︙
687
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693
















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698







































































699
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    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.5.8.1 {
  set myres {}
















  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres

} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}








































































do_execsql_test 1.6.2.1 {
  SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2
} {{}   {}   0   74   74   74   74   99   99   99   33   89   89   96   96   96   68   68   68   91   91   91   99   99   99   97   78   78   97   97   97   67   93   93   93   84   77   23   93   93   93   65   47   86   86   86   91   91   91   85   85   85   59   59   56   56   91   91   91   90   90   55   89   89   89   47   56   56   56   56   56   75   75   89   98   98   98   81   94   94   94   78   78   78   53   63   63   87   87   87   84   84   84   72   61   73   95   95   95   65   96   98   98   98   74   74   74   65   73   73   73   87   87   87   41   20   31   31   31   95   95   95   79   88   88   88   34   49   49   90   90   96   96   96   75   77   77   77   44   85   85   85   74   74   70   70   59   39   39   47   80   90   90   90   58   58   72   72   72   72   93   93   93   81   81   81   37   37   37   14   62   91   91   91   91   91   34   36   99   99   99   95   95   69   58   52   84   84   84   84   84   39   44   58   58   58   38   83   83   83}

do_execsql_test 1.6.2.2 {
  SELECT min(b) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2








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    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.5.8.1 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}

do_test 1.5.8.2 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}

do_test 1.5.8.3 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}

do_test 1.5.8.4 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}

do_test 1.5.8.5 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.5.8.6 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.5.8.1 {
  set myres {}
  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}

do_test 1.5.8.2 {
  set myres {}
  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.5.8.3 {
  set myres {}
  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}

do_test 1.5.8.4 {
  set myres {}
  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.5.8.5 {
  set myres {}
  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}

do_test 1.5.8.6 {
  set myres {}
  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 ROWS BETWEEN UNBOUNDED PRECEDING AND 4 PRECEDING) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_execsql_test 1.6.2.1 {
  SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2
} {{}   {}   0   74   74   74   74   99   99   99   33   89   89   96   96   96   68   68   68   91   91   91   99   99   99   97   78   78   97   97   97   67   93   93   93   84   77   23   93   93   93   65   47   86   86   86   91   91   91   85   85   85   59   59   56   56   91   91   91   90   90   55   89   89   89   47   56   56   56   56   56   75   75   89   98   98   98   81   94   94   94   78   78   78   53   63   63   87   87   87   84   84   84   72   61   73   95   95   95   65   96   98   98   98   74   74   74   65   73   73   73   87   87   87   41   20   31   31   31   95   95   95   79   88   88   88   34   49   49   90   90   96   96   96   75   77   77   77   44   85   85   85   74   74   70   70   59   39   39   47   80   90   90   90   58   58   72   72   72   72   93   93   93   81   81   81   37   37   37   14   62   91   91   91   91   91   34   36   99   99   99   95   95   69   58   52   84   84   84   84   84   39   44   58   58   58   38   83   83   83}

do_execsql_test 1.6.2.2 {
  SELECT min(b) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2
︙︙
815
816
817
818
819
820
821
















822
823
824
825

826







































































827
828
829
830
831
832
833

    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.6.8.1 {
  set myres {}
















  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres

} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}








































































do_execsql_test 1.7.2.1 {
  SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2
} {0   74   74   74   74   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99}

do_execsql_test 1.7.2.2 {
  SELECT min(b) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2








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    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.6.8.1 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}

do_test 1.6.8.2 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}

do_test 1.6.8.3 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}

do_test 1.6.8.4 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}

do_test 1.6.8.5 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.6.8.6 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.6.8.1 {
  set myres {}
  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}

do_test 1.6.8.2 {
  set myres {}
  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.6.8.3 {
  set myres {}
  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}

do_test 1.6.8.4 {
  set myres {}
  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.6.8.5 {
  set myres {}
  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}

do_test 1.6.8.6 {
  set myres {}
  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 ROWS BETWEEN 4 PRECEDING    AND 2 PRECEDING) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_execsql_test 1.7.2.1 {
  SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2
} {0   74   74   74   74   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99}

do_execsql_test 1.7.2.2 {
  SELECT min(b) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2
︙︙
943
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949
















950
951
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953

954







































































955
956
957
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960
961

    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.7.8.1 {
  set myres {}
















  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres

} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}








































































do_execsql_test 1.8.2.1 {
  SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2
} {0   74   74   74   74   99   99   99   99   99   89   96   96   96   96   96   68   91   91   91   99   99   99   99   99   97   97   97   97   97   97   93   93   93   93   84   93   93   93   93   93   86   86   86   91   91   91   91   91   85   85   85   59   59   91   91   91   91   91   90   90   89   89   89   89   56   56   56   56   75   75   89   98   98   98   98   98   94   94   94   94   78   78   78   63   87   87   87   87   87   84   84   84   73   95   95   95   95   96   98   98   98   98   98   74   74   74   73   73   87   87   87   87   87   41   31   31   95   95   95   95   95   88   88   88   88   49   90   90   96   96   96   96   96   77   77   77   85   85   85   85   85   74   74   70   70   59   47   80   90   90   90   90   90   72   72   72   72   93   93   93   93   93   81   81   81   37   37   62   91   91   91   91   91   91   91   99   99   99   99   99   95   95   69   84   84   84   84   84   84   84   58   58   58   58   83   83   83   83   83}

do_execsql_test 1.8.2.2 {
  SELECT min(b) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2








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1471
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1571
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1573
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1576
1577

    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.7.8.1 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}

do_test 1.7.8.2 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}

do_test 1.7.8.3 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}

do_test 1.7.8.4 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}

do_test 1.7.8.5 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.7.8.6 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.7.8.1 {
  set myres {}
  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}

do_test 1.7.8.2 {
  set myres {}
  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.7.8.3 {
  set myres {}
  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}

do_test 1.7.8.4 {
  set myres {}
  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.7.8.5 {
  set myres {}
  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}

do_test 1.7.8.6 {
  set myres {}
  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_execsql_test 1.8.2.1 {
  SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2
} {0   74   74   74   74   99   99   99   99   99   89   96   96   96   96   96   68   91   91   91   99   99   99   99   99   97   97   97   97   97   97   93   93   93   93   84   93   93   93   93   93   86   86   86   91   91   91   91   91   85   85   85   59   59   91   91   91   91   91   90   90   89   89   89   89   56   56   56   56   75   75   89   98   98   98   98   98   94   94   94   94   78   78   78   63   87   87   87   87   87   84   84   84   73   95   95   95   95   96   98   98   98   98   98   74   74   74   73   73   87   87   87   87   87   41   31   31   95   95   95   95   95   88   88   88   88   49   90   90   96   96   96   96   96   77   77   77   85   85   85   85   85   74   74   70   70   59   47   80   90   90   90   90   90   72   72   72   72   93   93   93   93   93   81   81   81   37   37   62   91   91   91   91   91   91   91   99   99   99   99   99   95   95   69   84   84   84   84   84   84   84   58   58   58   58   83   83   83   83   83}

do_execsql_test 1.8.2.2 {
  SELECT min(b) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2
︙︙
1071
1072
1073
1074
1075
1076
1077
















1078
1079
1080
1081

1082







































































1083
1084
1085
1086
1087
1088
1089

    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.8.8.1 {
  set myres {}
















  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres

} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}








































































do_execsql_test 1.9.2.1 {
  SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2
} {0   74   41   74   23   99   26   33   2   89   81   96   59   38   68   39   62   91   46   6   99   97   27   46   78   54   97   8   67   29   93   84   77   23   16   16   93   65   35   47   7   86   74   61   91   85   24   85   43   59   12   32   56   3   91   22   90   55   15   28   89   25   47   1   56   40   43   56   16   75   36   89   98   76   81   4   94   42   30   78   33   29   53   63   2   87   37   80   84   72   41   9   61   73   95   65   13   58   96   98   1   21   74   65   35   5   73   11   51   87   41   12   8   20   31   31   15   95   22   73   79   88   34   8   11   49   34   90   59   96   60   55   75   77   44   2   7   85   57   74   29   70   59   19   39   26   26   47   80   90   36   58   47   9   72   72   66   33   93   75   64   81   9   23   37   13   12   14   62   91   36   91   33   15   34   36   99   3   95   69   58   52   30   50   84   10   84   33   21   39   44   58   30   38   34   83   27   82   17   7}

do_execsql_test 1.9.2.2 {
  SELECT min(b) OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2








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    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.8.8.1 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}

do_test 1.8.8.2 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}

do_test 1.8.8.3 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}

do_test 1.8.8.4 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}

do_test 1.8.8.5 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.8.8.6 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.8.8.1 {
  set myres {}
  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}

do_test 1.8.8.2 {
  set myres {}
  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.8.8.3 {
  set myres {}
  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}

do_test 1.8.8.4 {
  set myres {}
  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.8.8.5 {
  set myres {}
  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}

do_test 1.8.8.6 {
  set myres {}
  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 ROWS BETWEEN 4 PRECEDING    AND CURRENT ROW) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_execsql_test 1.9.2.1 {
  SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2
} {0   74   41   74   23   99   26   33   2   89   81   96   59   38   68   39   62   91   46   6   99   97   27   46   78   54   97   8   67   29   93   84   77   23   16   16   93   65   35   47   7   86   74   61   91   85   24   85   43   59   12   32   56   3   91   22   90   55   15   28   89   25   47   1   56   40   43   56   16   75   36   89   98   76   81   4   94   42   30   78   33   29   53   63   2   87   37   80   84   72   41   9   61   73   95   65   13   58   96   98   1   21   74   65   35   5   73   11   51   87   41   12   8   20   31   31   15   95   22   73   79   88   34   8   11   49   34   90   59   96   60   55   75   77   44   2   7   85   57   74   29   70   59   19   39   26   26   47   80   90   36   58   47   9   72   72   66   33   93   75   64   81   9   23   37   13   12   14   62   91   36   91   33   15   34   36   99   3   95   69   58   52   30   50   84   10   84   33   21   39   44   58   30   38   34   83   27   82   17   7}

do_execsql_test 1.9.2.2 {
  SELECT min(b) OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2
︙︙
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    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.9.8.1 {
  set myres {}
















  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres

} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}








































































do_execsql_test 1.10.2.1 {
  SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2
} {74   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99}

do_execsql_test 1.10.2.2 {
  SELECT min(b) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2








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    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.9.8.1 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}

do_test 1.9.8.2 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}

do_test 1.9.8.3 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}

do_test 1.9.8.4 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}

do_test 1.9.8.5 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.9.8.6 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.9.8.1 {
  set myres {}
  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}

do_test 1.9.8.2 {
  set myres {}
  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.9.8.3 {
  set myres {}
  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}

do_test 1.9.8.4 {
  set myres {}
  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.9.8.5 {
  set myres {}
  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a ROWS BETWEEN CURRENT ROW         AND CURRENT ROW ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}

do_test 1.9.8.6 {
  set myres {}
  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 ROWS BETWEEN CURRENT ROW         AND CURRENT ROW) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_execsql_test 1.10.2.1 {
  SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2
} {74   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99}

do_execsql_test 1.10.2.2 {
  SELECT min(b) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2
︙︙
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    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.10.8.1 {
  set myres {}
















  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres

} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}








































































do_execsql_test 1.11.2.1 {
  SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2
} {74   74   74   99   99   99   99   99   99   99   96   96   96   96   96   96   91   91   99   99   99   99   99   99   99   97   97   97   97   97   97   93   93   93   93   93   93   93   93   93   93   86   91   91   91   91   91   91   91   85   85   85   91   91   91   91   91   91   91   90   90   89   89   89   89   56   56   75   75   89   98   98   98   98   98   98   98   94   94   94   94   78   78   87   87   87   87   87   87   87   84   84   95   95   95   95   96   98   98   98   98   98   98   98   74   74   74   87   87   87   87   87   87   87   41   95   95   95   95   95   95   95   88   88   88   90   90   96   96   96   96   96   96   96   77   85   85   85   85   85   85   85   74   74   70   70   80   90   90   90   90   90   90   90   72   72   93   93   93   93   93   93   93   81   81   81   62   91   91   91   91   91   91   91   99   99   99   99   99   99   99   95   95   84   84   84   84   84   84   84   84   58   58   83   83   83   83   83   83   83}

do_execsql_test 1.11.2.2 {
  SELECT min(b) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2








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    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.10.8.1 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}

do_test 1.10.8.2 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}

do_test 1.10.8.3 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}

do_test 1.10.8.4 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}

do_test 1.10.8.5 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.10.8.6 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.10.8.1 {
  set myres {}
  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}

do_test 1.10.8.2 {
  set myres {}
  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.10.8.3 {
  set myres {}
  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}

do_test 1.10.8.4 {
  set myres {}
  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.10.8.5 {
  set myres {}
  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}

do_test 1.10.8.6 {
  set myres {}
  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 ROWS BETWEEN UNBOUNDED PRECEDING AND 4 FOLLOWING) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_execsql_test 1.11.2.1 {
  SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2
} {74   74   74   99   99   99   99   99   99   99   96   96   96   96   96   96   91   91   99   99   99   99   99   99   99   97   97   97   97   97   97   93   93   93   93   93   93   93   93   93   93   86   91   91   91   91   91   91   91   85   85   85   91   91   91   91   91   91   91   90   90   89   89   89   89   56   56   75   75   89   98   98   98   98   98   98   98   94   94   94   94   78   78   87   87   87   87   87   87   87   84   84   95   95   95   95   96   98   98   98   98   98   98   98   74   74   74   87   87   87   87   87   87   87   41   95   95   95   95   95   95   95   88   88   88   90   90   96   96   96   96   96   96   96   77   85   85   85   85   85   85   85   74   74   70   70   80   90   90   90   90   90   90   90   72   72   93   93   93   93   93   93   93   81   81   81   62   91   91   91   91   91   91   91   99   99   99   99   99   99   99   95   95   84   84   84   84   84   84   84   84   58   58   83   83   83   83   83   83   83}

do_execsql_test 1.11.2.2 {
  SELECT min(b) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2
︙︙
1455
1456
1457
1458
1459
1460
1461
















1462
1463
1464
1465

1466







































































1467
1468
1469
1470
1471
1472
1473

    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.11.8.1 {
  set myres {}
















  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres

} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}








































































do_execsql_test 1.12.2.1 {
  SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2
} {74   99   99   99   99   99   89   96   96   96   96   96   68   91   91   91   99   99   99   99   99   97   97   97   97   97   97   93   93   93   93   84   93   93   93   93   93   86   86   86   91   91   91   91   91   85   85   85   59   59   91   91   91   91   91   90   90   89   89   89   89   56   56   56   56   75   75   89   98   98   98   98   98   94   94   94   94   78   78   78   63   87   87   87   87   87   84   84   84   73   95   95   95   95   96   98   98   98   98   98   74   74   74   73   73   87   87   87   87   87   41   31   31   95   95   95   95   95   88   88   88   88   49   90   90   96   96   96   96   96   77   77   77   85   85   85   85   85   74   74   70   70   59   47   80   90   90   90   90   90   72   72   72   72   93   93   93   93   93   81   81   81   37   37   62   91   91   91   91   91   91   91   99   99   99   99   99   95   95   69   84   84   84   84   84   84   84   58   58   58   58   83   83   83   83   83   82   82   17   7}

do_execsql_test 1.12.2.2 {
  SELECT min(b) OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2








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    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.11.8.1 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}

do_test 1.11.8.2 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}

do_test 1.11.8.3 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}

do_test 1.11.8.4 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}

do_test 1.11.8.5 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.11.8.6 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.11.8.1 {
  set myres {}
  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}

do_test 1.11.8.2 {
  set myres {}
  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.11.8.3 {
  set myres {}
  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}

do_test 1.11.8.4 {
  set myres {}
  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.11.8.5 {
  set myres {}
  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}

do_test 1.11.8.6 {
  set myres {}
  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 ROWS BETWEEN 4 PRECEDING    AND 2 FOLLOWING) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_execsql_test 1.12.2.1 {
  SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2
} {74   99   99   99   99   99   89   96   96   96   96   96   68   91   91   91   99   99   99   99   99   97   97   97   97   97   97   93   93   93   93   84   93   93   93   93   93   86   86   86   91   91   91   91   91   85   85   85   59   59   91   91   91   91   91   90   90   89   89   89   89   56   56   56   56   75   75   89   98   98   98   98   98   94   94   94   94   78   78   78   63   87   87   87   87   87   84   84   84   73   95   95   95   95   96   98   98   98   98   98   74   74   74   73   73   87   87   87   87   87   41   31   31   95   95   95   95   95   88   88   88   88   49   90   90   96   96   96   96   96   77   77   77   85   85   85   85   85   74   74   70   70   59   47   80   90   90   90   90   90   72   72   72   72   93   93   93   93   93   81   81   81   37   37   62   91   91   91   91   91   91   91   99   99   99   99   99   95   95   69   84   84   84   84   84   84   84   58   58   58   58   83   83   83   83   83   82   82   17   7}

do_execsql_test 1.12.2.2 {
  SELECT min(b) OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2
︙︙
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    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.12.8.1 {
  set myres {}
















  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres

} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}








































































do_execsql_test 1.13.2.1 {
  SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2
} {74   99   99   99   33   89   89   96   96   96   68   68   68   91   91   91   99   99   99   97   78   78   97   97   97   67   93   93   93   84   77   23   93   93   93   65   47   86   86   86   91   91   91   85   85   85   59   59   56   56   91   91   91   90   90   55   89   89   89   47   56   56   56   56   56   75   75   89   98   98   98   81   94   94   94   78   78   78   53   63   63   87   87   87   84   84   84   72   61   73   95   95   95   65   96   98   98   98   74   74   74   65   73   73   73   87   87   87   41   20   31   31   31   95   95   95   79   88   88   88   34   49   49   90   90   96   96   96   75   77   77   77   44   85   85   85   74   74   70   70   59   39   39   47   80   90   90   90   58   58   72   72   72   72   93   93   93   81   81   81   37   37   37   14   62   91   91   91   91   91   34   36   99   99   99   95   95   69   58   52   84   84   84   84   84   39   44   58   58   58   38   83   83   83   82   82   17   7   {}   {}}

do_execsql_test 1.13.2.2 {
  SELECT min(b) OVER ( ORDER BY a ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2








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    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.12.8.1 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}

do_test 1.12.8.2 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}

do_test 1.12.8.3 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}

do_test 1.12.8.4 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}

do_test 1.12.8.5 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.12.8.6 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.12.8.1 {
  set myres {}
  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}

do_test 1.12.8.2 {
  set myres {}
  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.12.8.3 {
  set myres {}
  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}

do_test 1.12.8.4 {
  set myres {}
  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.12.8.5 {
  set myres {}
  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}

do_test 1.12.8.6 {
  set myres {}
  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 ROWS BETWEEN CURRENT ROW         AND 4 FOLLOWING) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_execsql_test 1.13.2.1 {
  SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2
} {74   99   99   99   33   89   89   96   96   96   68   68   68   91   91   91   99   99   99   97   78   78   97   97   97   67   93   93   93   84   77   23   93   93   93   65   47   86   86   86   91   91   91   85   85   85   59   59   56   56   91   91   91   90   90   55   89   89   89   47   56   56   56   56   56   75   75   89   98   98   98   81   94   94   94   78   78   78   53   63   63   87   87   87   84   84   84   72   61   73   95   95   95   65   96   98   98   98   74   74   74   65   73   73   73   87   87   87   41   20   31   31   31   95   95   95   79   88   88   88   34   49   49   90   90   96   96   96   75   77   77   77   44   85   85   85   74   74   70   70   59   39   39   47   80   90   90   90   58   58   72   72   72   72   93   93   93   81   81   81   37   37   37   14   62   91   91   91   91   91   34   36   99   99   99   95   95   69   58   52   84   84   84   84   84   39   44   58   58   58   38   83   83   83   82   82   17   7   {}   {}}

do_execsql_test 1.13.2.2 {
  SELECT min(b) OVER ( ORDER BY a ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2
︙︙
1711
1712
1713
1714
1715
1716
1717
















1718
1719
1720
1721

1722







































































1723
1724
1725
1726
1727
1728
1729

    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.13.8.1 {
  set myres {}
















  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres

} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}








































































do_execsql_test 1.14.2.1 {
  SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2
} {99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99}

do_execsql_test 1.14.2.2 {
  SELECT min(b) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2








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    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.13.8.1 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}

do_test 1.13.8.2 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}

do_test 1.13.8.3 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}

do_test 1.13.8.4 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}

do_test 1.13.8.5 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.13.8.6 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.13.8.1 {
  set myres {}
  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}

do_test 1.13.8.2 {
  set myres {}
  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.13.8.3 {
  set myres {}
  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}

do_test 1.13.8.4 {
  set myres {}
  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.13.8.5 {
  set myres {}
  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}

do_test 1.13.8.6 {
  set myres {}
  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 ROWS BETWEEN 2 FOLLOWING    AND 4 FOLLOWING) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_execsql_test 1.14.2.1 {
  SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2
} {99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99}

do_execsql_test 1.14.2.2 {
  SELECT min(b) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2
︙︙
1839
1840
1841
1842
1843
1844
1845
















1846
1847
1848
1849

1850







































































1851
1852
1853
1854
1855
1856
1857

    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.14.8.1 {
  set myres {}
















  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres

} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}








































































do_execsql_test 1.15.2.1 {
  SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2
} {99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   95   95   84   84   84   84   84   84   84   84   83   83   83   83   83   83   83   83   83}

do_execsql_test 1.15.2.2 {
  SELECT min(b) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2








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2983
2984
2985
2986
2987
2988
2989
2990
2991
2992
2993
2994
2995
2996
2997
2998
2999
3000
3001
3002
3003
3004
3005
3006
3007
3008
3009
3010
3011
3012
3013
3014
3015
3016
3017
3018
3019
3020
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3022
3023
3024
3025
3026
3027
3028
3029
3030
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3032
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3035
3036
3037
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3040
3041
3042
3043
3044
3045
3046
3047
3048
3049
3050
3051
3052
3053
3054
3055
3056
3057
3058
3059
3060
3061
3062
3063
3064
3065
3066
3067
3068
3069
3070
3071
3072
3073
3074
3075
3076
3077
3078
3079
3080
3081
3082
3083
3084
3085
3086
3087
3088
3089

    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.14.8.1 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}

do_test 1.14.8.2 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}

do_test 1.14.8.3 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}

do_test 1.14.8.4 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}

do_test 1.14.8.5 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.14.8.6 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.14.8.1 {
  set myres {}
  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}

do_test 1.14.8.2 {
  set myres {}
  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.14.8.3 {
  set myres {}
  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}

do_test 1.14.8.4 {
  set myres {}
  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.14.8.5 {
  set myres {}
  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}

do_test 1.14.8.6 {
  set myres {}
  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_execsql_test 1.15.2.1 {
  SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2
} {99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   95   95   84   84   84   84   84   84   84   84   83   83   83   83   83   83   83   83   83}

do_execsql_test 1.15.2.2 {
  SELECT min(b) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2
︙︙
1967
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1974
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    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.15.8.1 {
  set myres {}
















  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres

} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}








































































do_execsql_test 1.16.2.1 {
  SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2
} {99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   95   95   84   84   84   84   84   84   84   84   83   83   83   83   83   83   83   83   83   82   82   17   7}

do_execsql_test 1.16.2.2 {
  SELECT min(b) OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2








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3199
3200
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3300
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3302
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3305

    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.15.8.1 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}

do_test 1.15.8.2 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}

do_test 1.15.8.3 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}

do_test 1.15.8.4 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}

do_test 1.15.8.5 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.15.8.6 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.15.8.1 {
  set myres {}
  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}

do_test 1.15.8.2 {
  set myres {}
  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.15.8.3 {
  set myres {}
  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}

do_test 1.15.8.4 {
  set myres {}
  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.15.8.5 {
  set myres {}
  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}

do_test 1.15.8.6 {
  set myres {}
  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 ROWS BETWEEN 4 PRECEDING    AND UNBOUNDED FOLLOWING) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_execsql_test 1.16.2.1 {
  SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2
} {99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   95   95   84   84   84   84   84   84   84   84   83   83   83   83   83   83   83   83   83   82   82   17   7}

do_execsql_test 1.16.2.2 {
  SELECT min(b) OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2
︙︙
2095
2096
2097
2098
2099
2100
2101
















2102
2103
2104
2105

2106







































































2107
2108
2109
2110
2111
2112
2113

    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.16.8.1 {
  set myres {}
















  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres

} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}








































































do_execsql_test 1.17.2.1 {
  SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2
} {99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   95   95   84   84   84   84   84   84   84   84   83   83   83   83   83   83   83   83   83   82   82   17   7   {}   {}   {}   {}}

do_execsql_test 1.17.2.2 {
  SELECT min(b) OVER ( ORDER BY a ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2








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    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.16.8.1 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}

do_test 1.16.8.2 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}

do_test 1.16.8.3 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}

do_test 1.16.8.4 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}

do_test 1.16.8.5 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.16.8.6 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.16.8.1 {
  set myres {}
  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}

do_test 1.16.8.2 {
  set myres {}
  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.16.8.3 {
  set myres {}
  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}

do_test 1.16.8.4 {
  set myres {}
  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.16.8.5 {
  set myres {}
  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}

do_test 1.16.8.6 {
  set myres {}
  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 ROWS BETWEEN CURRENT ROW         AND UNBOUNDED FOLLOWING) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_execsql_test 1.17.2.1 {
  SELECT max(b) OVER ( ORDER BY a ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2
} {99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   99   95   95   84   84   84   84   84   84   84   84   83   83   83   83   83   83   83   83   83   82   82   17   7   {}   {}   {}   {}}

do_execsql_test 1.17.2.2 {
  SELECT min(b) OVER ( ORDER BY a ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2
︙︙
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    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.17.8.1 {
  set myres {}
















  foreach r [db eval {SELECT b, cume_dist() OVER ( ORDER BY b ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres

} {0.00 0.01 1.00 0.01 1.00 0.01 2.00 0.03 2.00 0.03 2.00 0.03 3.00 0.04 3.00 0.04 4.00 0.04 5.00 0.05 6.00 0.06 7.00 0.07 7.00 0.07 7.00 0.07 8.00 0.09 8.00 0.09 8.00 0.09 9.00 0.10 9.00 0.10 9.00 0.10 10.00 0.10 11.00 0.12 11.00 0.12 12.00 0.13 12.00 0.13 12.00 0.13 13.00 0.14 13.00 0.14 14.00 0.14 15.00 0.16 15.00 0.16 15.00 0.16 16.00 0.17 16.00 0.17 16.00 0.17 17.00 0.18 19.00 0.18 20.00 0.19 21.00 0.20 21.00 0.20 22.00 0.21 22.00 0.21 23.00 0.23 23.00 0.23 23.00 0.23 24.00 0.23 25.00 0.23 26.00 0.25 26.00 0.25 26.00 0.25 27.00 0.26 27.00 0.26 28.00 0.27 29.00 0.28 29.00 0.28 29.00 0.28 30.00 0.29 30.00 0.29 30.00 0.29 31.00 0.30 31.00 0.30 32.00 0.31 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 33.00 0.34 34.00 0.35 34.00 0.35 34.00 0.35 34.00 0.35 35.00 0.36 35.00 0.36 36.00 0.39 36.00 0.39 36.00 0.39 36.00 0.39 37.00 0.40 37.00 0.40 38.00 0.41 38.00 0.41 39.00 0.42 39.00 0.42 39.00 0.42 40.00 0.42 41.00 0.44 41.00 0.44 41.00 0.44 42.00 0.45 43.00 0.46 43.00 0.46 44.00 0.47 44.00 0.47 46.00 0.47 46.00 0.47 47.00 0.49 47.00 0.49 47.00 0.49 47.00 0.49 49.00 0.50 50.00 0.51 51.00 0.51 52.00 0.52 53.00 0.52 54.00 0.53 55.00 0.54 55.00 0.54 56.00 0.55 56.00 0.55 56.00 0.55 57.00 0.56 58.00 0.57 58.00 0.57 58.00 0.57 58.00 0.57 59.00 0.59 59.00 0.59 59.00 0.59 59.00 0.59 60.00 0.60 61.00 0.61 61.00 0.61 62.00 0.62 62.00 0.62 63.00 0.62 64.00 0.63 65.00 0.65 65.00 0.65 65.00 0.65 66.00 0.65 67.00 0.66 68.00 0.66 69.00 0.67 70.00 0.67 72.00 0.69 72.00 0.69 72.00 0.69 73.00 0.70 73.00 0.70 73.00 0.70 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 74.00 0.72 75.00 0.74 75.00 0.74 75.00 0.74 76.00 0.74 77.00 0.76 77.00 0.76 78.00 0.77 78.00 0.77 79.00 0.77 80.00 0.78 80.00 0.78 81.00 0.80 81.00 0.80 81.00 0.80 82.00 0.80 83.00 0.81 84.00 0.82 84.00 0.82 84.00 0.82 84.00 0.82 85.00 0.84 85.00 0.84 85.00 0.84 86.00 0.84 87.00 0.85 87.00 0.85 88.00 0.86 89.00 0.88 89.00 0.88 89.00 0.88 90.00 0.89 90.00 0.89 90.00 0.89 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 91.00 0.92 93.00 0.93 93.00 0.93 93.00 0.93 94.00 0.94 95.00 0.95 95.00 0.95 95.00 0.95 96.00 0.96 96.00 0.96 96.00 0.96 97.00 0.97 97.00 0.97 98.00 0.98 98.00 0.98 99.00 1.00 99.00 1.00 99.00 1.00}








































































finish_test








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    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.17 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.36 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.83 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.42 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80}

do_test 1.17.8.1 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY a ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.02 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.09 0.09 0.10 0.10 0.10 0.11 0.12 0.12 0.12 0.13 0.14 0.14 0.14 0.15 0.15 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.20 0.21 0.21 0.22 0.23 0.23 0.23 0.24 0.24 0.25 0.26 0.26 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.30 0.30 0.31 0.32 0.32 0.33 0.33 0.34 0.34 0.34 0.35 0.35 0.36 0.36 0.37 0.38 0.38 0.39 0.39 0.40 0.40 0.41 0.41 0.41 0.42 0.42 0.43 0.43 0.44 0.45 0.45 0.46 0.46 0.47 0.47 0.47 0.48 0.48 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.53 0.54 0.54 0.55 0.55 0.56 0.56 0.56 0.57 0.57 0.58 0.58 0.59 0.59 0.60 0.60 0.61 0.61 0.62 0.62 0.63 0.64 0.64 0.65 0.65 0.66 0.66 0.67 0.67 0.68 0.68 0.69 0.69 0.69 0.70 0.70 0.71 0.71 0.72 0.72 0.73 0.73 0.74 0.74 0.75 0.76 0.76 0.77 0.77 0.78 0.78 0.79 0.79 0.80 0.80 0.81 0.81 0.81 0.82 0.82 0.83 0.83 0.84 0.84 0.85 0.85 0.86 0.86 0.87 0.88 0.88 0.89 0.89 0.90 0.90 0.91 0.91 0.92 0.92 0.93 0.93 0.94 0.94 0.94 0.95 0.95 0.96 0.96 0.97 0.97 0.98 0.98 0.99 0.99 1.00}

do_test 1.17.8.2 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.27 0.33 0.40 0.47 0.53 0.60 0.67 0.73 0.80 0.87 0.93 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.06 0.12 0.18 0.24 0.29 0.35 0.41 0.47 0.53 0.59 0.65 0.71 0.76 0.82 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.10 0.14 0.19 0.24 0.29 0.33 0.38 0.43 0.48 0.52 0.57 0.62 0.67 0.71 0.76 0.81 0.86 0.90 0.95 1.00 0.05 0.09 0.14 0.18 0.23 0.27 0.32 0.36 0.41 0.45 0.50 0.55 0.59 0.64 0.68 0.73 0.77 0.82 0.86 0.91 0.95 1.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 0.06 0.12 0.19 0.25 0.31 0.38 0.44 0.50 0.56 0.62 0.69 0.75 0.81 0.88 0.94 1.00 0.04 0.09 0.13 0.17 0.22 0.26 0.30 0.35 0.39 0.43 0.48 0.52 0.57 0.61 0.65 0.70 0.74 0.78 0.83 0.87 0.91 0.96 1.00}

do_test 1.17.8.3 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.01 0.01 0.01 0.03 0.03 0.03 0.04 0.04 0.04 0.05 0.06 0.07 0.07 0.07 0.09 0.09 0.09 0.10 0.10 0.10 0.10 0.12 0.12 0.13 0.13 0.13 0.14 0.14 0.14 0.16 0.16 0.16 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.21 0.21 0.23 0.23 0.23 0.23 0.23 0.25 0.25 0.25 0.26 0.26 0.27 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.34 0.34 0.34 0.34 0.34 0.35 0.35 0.35 0.35 0.36 0.36 0.39 0.39 0.39 0.39 0.40 0.40 0.41 0.41 0.42 0.42 0.42 0.42 0.44 0.44 0.44 0.45 0.46 0.46 0.47 0.47 0.47 0.47 0.49 0.49 0.49 0.49 0.50 0.51 0.51 0.52 0.52 0.53 0.54 0.54 0.55 0.55 0.55 0.56 0.57 0.57 0.57 0.57 0.59 0.59 0.59 0.59 0.60 0.61 0.61 0.62 0.62 0.62 0.63 0.65 0.65 0.65 0.65 0.66 0.66 0.67 0.67 0.69 0.69 0.69 0.70 0.70 0.70 0.72 0.72 0.72 0.72 0.72 0.74 0.74 0.74 0.74 0.76 0.76 0.77 0.77 0.77 0.78 0.78 0.80 0.80 0.80 0.80 0.81 0.82 0.82 0.82 0.82 0.84 0.84 0.84 0.84 0.85 0.85 0.86 0.88 0.88 0.88 0.89 0.89 0.89 0.92 0.92 0.92 0.92 0.92 0.93 0.93 0.93 0.94 0.95 0.95 0.95 0.96 0.96 0.96 0.97 0.97 0.98 0.98 1.00 1.00 1.00}

do_test 1.17.8.4 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%10 ORDER BY b ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.13 0.20 0.40 0.40 0.40 0.47 0.53 0.60 0.67 0.80 0.80 1.00 1.00 1.00 0.09 0.09 0.18 0.18 0.27 0.27 0.36 0.36 0.50 0.50 0.50 0.55 0.64 0.64 0.77 0.77 0.77 1.00 1.00 1.00 1.00 1.00 0.18 0.18 0.18 0.35 0.35 0.35 0.47 0.47 0.53 0.59 0.65 0.76 0.76 0.94 0.94 0.94 1.00 0.09 0.09 0.17 0.17 0.30 0.30 0.30 0.52 0.52 0.52 0.52 0.52 0.61 0.61 0.65 0.70 0.83 0.83 0.83 0.87 1.00 1.00 1.00 0.05 0.10 0.14 0.33 0.33 0.33 0.33 0.43 0.43 0.48 0.52 0.76 0.76 0.76 0.76 0.76 0.95 0.95 0.95 0.95 1.00 0.05 0.19 0.19 0.19 0.24 0.33 0.33 0.43 0.43 0.57 0.57 0.57 0.71 0.71 0.71 0.86 0.86 0.86 1.00 1.00 1.00 0.05 0.18 0.18 0.18 0.32 0.32 0.32 0.50 0.50 0.50 0.50 0.59 0.59 0.73 0.73 0.73 0.77 0.82 0.86 1.00 1.00 1.00 0.15 0.15 0.15 0.20 0.30 0.30 0.40 0.40 0.60 0.60 0.60 0.60 0.65 0.70 0.80 0.80 0.90 0.90 1.00 1.00 0.19 0.19 0.19 0.25 0.38 0.38 0.62 0.62 0.62 0.62 0.69 0.81 0.81 0.88 1.00 1.00 0.13 0.13 0.13 0.17 0.30 0.30 0.30 0.43 0.43 0.43 0.48 0.65 0.65 0.65 0.65 0.70 0.74 0.87 0.87 0.87 1.00 1.00 1.00}

do_test 1.17.8.5 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( ORDER BY b%10 ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.07 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.18 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.27 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.39 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.49 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.70 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.81 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.17.8.6 {
  set myres {}
  foreach r [db eval {SELECT cume_dist() OVER ( PARTITION BY b%2 ORDER BY b%10 ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.35 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 0.82 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.61 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 0.79 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

do_test 1.17.8.1 {
  set myres {}
  foreach r [db eval {SELECT ntile(100) OVER ( ORDER BY a ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 99.00 100.00 100.00}

do_test 1.17.8.2 {
  set myres {}
  foreach r [db eval {SELECT ntile(101) OVER ( PARTITION BY b%10 ORDER BY a ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.17.8.3 {
  set myres {}
  foreach r [db eval {SELECT ntile(102) OVER ( ORDER BY b,a ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 97.00 98.00 98.00 99.00 100.00 101.00 102.00}

do_test 1.17.8.4 {
  set myres {}
  foreach r [db eval {SELECT ntile(103) OVER ( PARTITION BY b%10 ORDER BY b,a ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00}

do_test 1.17.8.5 {
  set myres {}
  foreach r [db eval {SELECT ntile(104) OVER ( ORDER BY b%10,a ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING ) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 2.00 2.00 3.00 3.00 4.00 4.00 5.00 5.00 6.00 6.00 7.00 7.00 8.00 8.00 9.00 9.00 10.00 10.00 11.00 11.00 12.00 12.00 13.00 13.00 14.00 14.00 15.00 15.00 16.00 16.00 17.00 17.00 18.00 18.00 19.00 19.00 20.00 20.00 21.00 21.00 22.00 22.00 23.00 23.00 24.00 24.00 25.00 25.00 26.00 26.00 27.00 27.00 28.00 28.00 29.00 29.00 30.00 30.00 31.00 31.00 32.00 32.00 33.00 33.00 34.00 34.00 35.00 35.00 36.00 36.00 37.00 37.00 38.00 38.00 39.00 39.00 40.00 40.00 41.00 41.00 42.00 42.00 43.00 43.00 44.00 44.00 45.00 45.00 46.00 46.00 47.00 47.00 48.00 48.00 49.00 49.00 50.00 50.00 51.00 51.00 52.00 52.00 53.00 53.00 54.00 54.00 55.00 55.00 56.00 56.00 57.00 57.00 58.00 58.00 59.00 59.00 60.00 60.00 61.00 61.00 62.00 62.00 63.00 63.00 64.00 64.00 65.00 65.00 66.00 66.00 67.00 67.00 68.00 68.00 69.00 69.00 70.00 70.00 71.00 71.00 72.00 72.00 73.00 73.00 74.00 74.00 75.00 75.00 76.00 76.00 77.00 77.00 78.00 78.00 79.00 79.00 80.00 80.00 81.00 81.00 82.00 82.00 83.00 83.00 84.00 84.00 85.00 85.00 86.00 86.00 87.00 87.00 88.00 88.00 89.00 89.00 90.00 90.00 91.00 91.00 92.00 92.00 93.00 93.00 94.00 94.00 95.00 95.00 96.00 96.00 97.00 98.00 99.00 100.00 101.00 102.00 103.00 104.00}

do_test 1.17.8.6 {
  set myres {}
  foreach r [db eval {SELECT ntile(105) OVER (PARTITION BY b%2,a ORDER BY b%10 ROWS BETWEEN 4 FOLLOWING    AND UNBOUNDED FOLLOWING) FROM t2}] {
    lappend myres [format %.2f [set r]]
  }
  set myres
} {1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00}

finish_test
Added test/window4.tcl. 






























































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# 2018 May 19
#
# The author disclaims copyright to this source code.  In place of
# a legal notice, here is a blessing:
#
#    May you do good and not evil.
#    May you find forgiveness for yourself and forgive others.
#    May you share freely, never taking more than you give.
#
#***********************************************************************
#

source [file join [file dirname $argv0] pg_common.tcl]

#=========================================================================

start_test window4 "2018 June 04"

execsql_test 1.0 {
  DROP TABLE IF EXISTS t3;
  CREATE TABLE t3(a TEXT PRIMARY KEY);
  INSERT INTO t3 VALUES('a'), ('b'), ('c'), ('d'), ('e');
  INSERT INTO t3 VALUES('f'), ('g'), ('h'), ('i'), ('j');
}

for {set i 1} {$i < 20} {incr i} {
  execsql_test 1.$i "SELECT a, ntile($i) OVER (ORDER BY a) FROM t3"
}

finish_test
Added test/window4.test. 




















































































































































































































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# 2018 June 04
#
# The author disclaims copyright to this source code.  In place of
# a legal notice, here is a blessing:
#
#    May you do good and not evil.
#    May you find forgiveness for yourself and forgive others.
#    May you share freely, never taking more than you give.
#
#***********************************************************************
# This file implements regression tests for SQLite library.
#

####################################################
# DO NOT EDIT! THIS FILE IS AUTOMATICALLY GENERATED!
####################################################

set testdir [file dirname $argv0]
source $testdir/tester.tcl
set testprefix window4

do_execsql_test 1.0 {
  DROP TABLE IF EXISTS t3;
  CREATE TABLE t3(a TEXT PRIMARY KEY);
  INSERT INTO t3 VALUES('a'), ('b'), ('c'), ('d'), ('e');
  INSERT INTO t3 VALUES('f'), ('g'), ('h'), ('i'), ('j');
} {}

do_execsql_test 1.1 {
  SELECT a, ntile(1) OVER (ORDER BY a) FROM t3
} {a 1   b 1   c 1   d 1   e 1   f 1   g 1   h 1   i 1   j 1}

do_execsql_test 1.2 {
  SELECT a, ntile(2) OVER (ORDER BY a) FROM t3
} {a 1   b 1   c 1   d 1   e 1   f 2   g 2   h 2   i 2   j 2}

do_execsql_test 1.3 {
  SELECT a, ntile(3) OVER (ORDER BY a) FROM t3
} {a 1   b 1   c 1   d 1   e 2   f 2   g 2   h 3   i 3   j 3}

do_execsql_test 1.4 {
  SELECT a, ntile(4) OVER (ORDER BY a) FROM t3
} {a 1   b 1   c 1   d 2   e 2   f 2   g 3   h 3   i 4   j 4}

do_execsql_test 1.5 {
  SELECT a, ntile(5) OVER (ORDER BY a) FROM t3
} {a 1   b 1   c 2   d 2   e 3   f 3   g 4   h 4   i 5   j 5}

do_execsql_test 1.6 {
  SELECT a, ntile(6) OVER (ORDER BY a) FROM t3
} {a 1   b 1   c 2   d 2   e 3   f 3   g 4   h 4   i 5   j 6}

do_execsql_test 1.7 {
  SELECT a, ntile(7) OVER (ORDER BY a) FROM t3
} {a 1   b 1   c 2   d 2   e 3   f 3   g 4   h 5   i 6   j 7}

do_execsql_test 1.8 {
  SELECT a, ntile(8) OVER (ORDER BY a) FROM t3
} {a 1   b 1   c 2   d 2   e 3   f 4   g 5   h 6   i 7   j 8}

do_execsql_test 1.9 {
  SELECT a, ntile(9) OVER (ORDER BY a) FROM t3
} {a 1   b 1   c 2   d 3   e 4   f 5   g 6   h 7   i 8   j 9}

do_execsql_test 1.10 {
  SELECT a, ntile(10) OVER (ORDER BY a) FROM t3
} {a 1   b 2   c 3   d 4   e 5   f 6   g 7   h 8   i 9   j 10}

do_execsql_test 1.11 {
  SELECT a, ntile(11) OVER (ORDER BY a) FROM t3
} {a 1   b 2   c 3   d 4   e 5   f 6   g 7   h 8   i 9   j 10}

do_execsql_test 1.12 {
  SELECT a, ntile(12) OVER (ORDER BY a) FROM t3
} {a 1   b 2   c 3   d 4   e 5   f 6   g 7   h 8   i 9   j 10}

do_execsql_test 1.13 {
  SELECT a, ntile(13) OVER (ORDER BY a) FROM t3
} {a 1   b 2   c 3   d 4   e 5   f 6   g 7   h 8   i 9   j 10}

do_execsql_test 1.14 {
  SELECT a, ntile(14) OVER (ORDER BY a) FROM t3
} {a 1   b 2   c 3   d 4   e 5   f 6   g 7   h 8   i 9   j 10}

do_execsql_test 1.15 {
  SELECT a, ntile(15) OVER (ORDER BY a) FROM t3
} {a 1   b 2   c 3   d 4   e 5   f 6   g 7   h 8   i 9   j 10}

do_execsql_test 1.16 {
  SELECT a, ntile(16) OVER (ORDER BY a) FROM t3
} {a 1   b 2   c 3   d 4   e 5   f 6   g 7   h 8   i 9   j 10}

do_execsql_test 1.17 {
  SELECT a, ntile(17) OVER (ORDER BY a) FROM t3
} {a 1   b 2   c 3   d 4   e 5   f 6   g 7   h 8   i 9   j 10}

do_execsql_test 1.18 {
  SELECT a, ntile(18) OVER (ORDER BY a) FROM t3
} {a 1   b 2   c 3   d 4   e 5   f 6   g 7   h 8   i 9   j 10}

do_execsql_test 1.19 {
  SELECT a, ntile(19) OVER (ORDER BY a) FROM t3
} {a 1   b 2   c 3   d 4   e 5   f 6   g 7   h 8   i 9   j 10}

finish_test