mirror of
https://github.com/mariadb-corporation/mariadb-columnstore-engine.git
synced 2025-04-18 21:44:02 +03:00
225 lines
6.1 KiB
C++
225 lines
6.1 KiB
C++
/* Copyright (C) 2017 MariaDB Corporation
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This program is free software; you can redistribute it and/or
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modify it under the terms of the GNU General Public License
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as published by the Free Software Foundation; version 2 of
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the License.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with this program; if not, write to the Free Software
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Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston,
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MA 02110-1301, USA. */
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#include <sstream>
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#include <cstring>
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#include <typeinfo>
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#include "regr_intercept.h"
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#include "bytestream.h"
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#include "objectreader.h"
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using namespace mcsv1sdk;
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class Add_regr_intercept_ToUDAFMap
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{
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public:
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Add_regr_intercept_ToUDAFMap()
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{
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UDAFMap::getMap()["regr_intercept"] = new regr_intercept();
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}
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};
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static Add_regr_intercept_ToUDAFMap addToMap;
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// Use the simple data model
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struct regr_intercept_data
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{
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uint64_t cnt;
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long double avgx;
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long double cx;
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long double avgy;
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long double cxy;
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};
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mcsv1_UDAF::ReturnCode regr_intercept::init(mcsv1Context* context, ColumnDatum* colTypes)
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{
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if (context->getParameterCount() != 2)
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{
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// The error message will be prepended with
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// "The storage engine for the table doesn't support "
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context->setErrorMessage("regr_intercept() with other than 2 arguments");
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return mcsv1_UDAF::ERROR;
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}
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if (!(isNumeric(colTypes[0].dataType) && isNumeric(colTypes[1].dataType)))
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{
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// The error message will be prepended with
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// "The storage engine for the table doesn't support "
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context->setErrorMessage("regr_intercept() with non-numeric arguments");
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return mcsv1_UDAF::ERROR;
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}
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context->setUserDataSize(sizeof(regr_intercept_data));
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context->setResultType(execplan::CalpontSystemCatalog::DOUBLE);
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context->setColWidth(8);
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context->setScale(DECIMAL_NOT_SPECIFIED);
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context->setPrecision(0);
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context->setRunFlag(mcsv1sdk::UDAF_IGNORE_NULLS);
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return mcsv1_UDAF::SUCCESS;
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}
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mcsv1_UDAF::ReturnCode regr_intercept::reset(mcsv1Context* context)
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{
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struct regr_intercept_data* data = (struct regr_intercept_data*)context->getUserData()->data;
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data->cnt = 0;
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data->avgx = 0.0;
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data->cx = 0.0;
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data->avgy = 0.0;
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data->cxy = 0.0;
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return mcsv1_UDAF::SUCCESS;
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}
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mcsv1_UDAF::ReturnCode regr_intercept::nextValue(mcsv1Context* context, ColumnDatum* valsIn)
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{
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double valy = toDouble(valsIn[0]);
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double valx = toDouble(valsIn[1]);
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struct regr_intercept_data* data = (struct regr_intercept_data*)context->getUserData()->data;
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long double avgyPrev = data->avgy;
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long double avgxPrev = data->avgx;
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long double cxPrev = data->cx;
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long double cxyPrev = data->cxy;
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++data->cnt;
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uint64_t cnt = data->cnt;
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long double dx = valx - avgxPrev;
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long double dy = valy - avgyPrev;
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avgyPrev += dy / cnt;
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avgxPrev += dx / cnt;
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cxPrev += dx * (valx - avgxPrev);
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cxyPrev += dx * (valy - avgyPrev);
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data->avgx = avgxPrev;
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data->avgy = avgyPrev;
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data->cx = cxPrev;
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data->cxy = cxyPrev;
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return mcsv1_UDAF::SUCCESS;
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}
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mcsv1_UDAF::ReturnCode regr_intercept::subEvaluate(mcsv1Context* context, const UserData* userDataIn)
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{
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if (!userDataIn)
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{
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return mcsv1_UDAF::SUCCESS;
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}
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struct regr_intercept_data* outData = (struct regr_intercept_data*)context->getUserData()->data;
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struct regr_intercept_data* inData = (struct regr_intercept_data*)userDataIn->data;
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uint64_t outCnt = outData->cnt;
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long double outAvgx = outData->avgx;
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long double outAvgy = outData->avgy;
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long double outCx = outData->cx;
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long double outCxy = outData->cxy;
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uint64_t inCnt = inData->cnt;
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long double inAvgx = inData->avgx;
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long double inAvgy = inData->avgy;
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long double inCx = inData->cx;
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long double inCxy = inData->cxy;
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uint64_t resCnt = inCnt + outCnt;
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if (resCnt == 0)
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{
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outData->avgx = 0;
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outData->avgy = 0;
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outData->cx = 0;
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outData->cxy = 0;
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outData->cnt = 0;
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}
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else
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{
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long double deltax = outAvgx - inAvgx;
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long double deltay = outAvgy - inAvgy;
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long double resAvgx = inAvgx + deltax * outCnt / resCnt;
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long double resAvgy = inAvgy + deltay * outCnt / resCnt;
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long double resCx = outCx + inCx + deltax * deltax * inCnt * outCnt / resCnt;
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long double resCxy = outCxy + inCxy + deltax * deltay * inCnt * outCnt / resCnt;
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outData->avgx = resAvgx;
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outData->avgy = resAvgy;
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outData->cx = resCx;
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outData->cxy = resCxy;
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outData->cnt = resCnt;
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}
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return mcsv1_UDAF::SUCCESS;
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}
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mcsv1_UDAF::ReturnCode regr_intercept::evaluate(mcsv1Context* context, static_any::any& valOut)
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{
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struct regr_intercept_data* data = (struct regr_intercept_data*)context->getUserData()->data;
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long double N = data->cnt;
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if (N > 1)
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{
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long double avgx = data->avgx;
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long double avgy = data->avgy;
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long double cx = data->cx;
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long double cxy = data->cxy;
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// regr_intercept is AVG(y) - slope(y,x)*avg(x)
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if (cx > 0)
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{
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valOut = static_cast<double>(avgy - cxy / cx * avgx);
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}
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}
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return mcsv1_UDAF::SUCCESS;
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}
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mcsv1_UDAF::ReturnCode regr_intercept::dropValue(mcsv1Context* context, ColumnDatum* valsDropped)
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{
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double valy = toDouble(valsDropped[0]);
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double valx = toDouble(valsDropped[1]);
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struct regr_intercept_data* data = (struct regr_intercept_data*)context->getUserData()->data;
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long double avgyPrev = data->avgy;
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long double avgxPrev = data->avgx;
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long double cxPrev = data->cx;
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long double cxyPrev = data->cxy;
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--data->cnt;
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uint64_t cnt = data->cnt;
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if (cnt == 0)
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{
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data->avgx = 0;
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data->avgy = 0;
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data->cx = 0;
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data->cxy = 0;
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}
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else
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{
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long double dx = valx - avgxPrev;
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long double dy = valy - avgyPrev;
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avgyPrev -= dy / cnt;
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avgxPrev -= dx / cnt;
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cxPrev -= dx * (valx - avgxPrev);
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cxyPrev -= dx * (valy - avgyPrev);
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data->avgx = avgxPrev;
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data->avgy = avgyPrev;
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data->cx = cxPrev;
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data->cxy = cxyPrev;
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}
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return mcsv1_UDAF::SUCCESS;
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}
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