mirror of
https://github.com/aportelli/LatAnalyze.git
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184 lines
4.7 KiB
Plaintext
184 lines
4.7 KiB
Plaintext
/*
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* AsciiParser.ypp, part of LatAnalyze 3
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*
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* Copyright (C) 2013 - 2020 Antonin Portelli
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*
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* LatAnalyze 3 is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* LatAnalyze 3 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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*
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* You should have received a copy of the GNU General Public License
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* along with LatAnalyze 3. If not, see <http://www.gnu.org/licenses/>.
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*/
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%{
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#include <LatAnalyze/Global.hpp>
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#include <LatAnalyze/Io/AsciiFile.hpp>
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#include <LatAnalyze/Core/Mat.hpp>
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#include <LatAnalyze/Statistics/MatSample.hpp>
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using namespace std;
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using namespace Latan;
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#define TEST_FIRST(name) \
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if (state->isFirst)\
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{\
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state->first = (name);\
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state->isFirst = false;\
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}
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%}
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%pure-parser
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%name-prefix "_Ascii_"
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%locations
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%defines
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%error-verbose
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%parse-param { Latan::AsciiFile::AsciiParserState* state }
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%initial-action {yylloc.last_column = 0;}
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%lex-param { void* scanner }
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%union
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{
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long int val_int;
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double val_double;
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char val_char;
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char val_str[256];
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}
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%token <val_char> ERR
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%token <val_double> FLOAT
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%token <val_int> INT
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%token <val_str> ID
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%token OPEN CLOSE MAT SAMPLE RG_STATE
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%type <val_str> mat matsample dsample
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%{
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int _Ascii_lex(YYSTYPE* lvalp, YYLTYPE* llocp, void* scanner);
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void _Ascii_error(YYLTYPE* locp, AsciiFile::AsciiParserState* state,
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const char* err)
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{
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stringstream buf;
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buf << *state->streamName << ":" << locp->first_line << ":"\
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<< locp->first_column << ": " << err;
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LATAN_ERROR(Parsing, buf.str());
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}
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#define scanner state->scanner
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%}
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%%
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datas:
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/* empty string */
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| datas data
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;
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data:
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mat
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{
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TEST_FIRST($1);
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(*state->data)[$1].reset(new DMat(state->dMatQueue.front()));
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state->dMatQueue.pop();
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}
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| dsample
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{
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TEST_FIRST($1);
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(*state->data)[$1].reset(new DSample(state->dSampleBuf));
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}
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| matsample
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{
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TEST_FIRST($1);
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(*state->data)[$1].reset(new DMatSample(state->dMatSampleBuf));
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}
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;
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mat:
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OPEN MAT ID INT floats CLOSE MAT
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{
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const unsigned int nRow = state->doubleQueue.size()/$4, nCol = $4;
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Index i, j, r = 0;
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if (state->doubleQueue.size() != nRow*nCol)
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{
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LATAN_ERROR(Size, "matrix '" + *state->streamName + ":" + $3 +
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"' has a wrong size");
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}
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state->dMatQueue.push(DMat(nRow, nCol));
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while (!state->doubleQueue.empty())
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{
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j = r % nCol;
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i = (r - j)/nCol;
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state->dMatQueue.back()(i, j) = state->doubleQueue.front();
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state->doubleQueue.pop();
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r++;
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}
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strcpy($$, $3);
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}
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;
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dsample:
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OPEN SAMPLE ID INT mat CLOSE SAMPLE
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{
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const unsigned int nSample = $4, os = DMatSample::offset;
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DMat &m = state->dMatQueue.front();
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if (m.rows() != nSample + os)
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{
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LATAN_ERROR(Size, "double sample '" + *state->streamName + ":"
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+ $3 + "' has a wrong size");
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}
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if (m.cols() != 1)
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{
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LATAN_ERROR(Size, "double sample '" + *state->streamName + ":"
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+ $3 + "' is not stored as a column vector");
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}
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state->dSampleBuf = m.array();
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state->dMatQueue.pop();
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strcpy($$, $3);
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}
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;
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matsample:
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OPEN SAMPLE ID INT mat mats CLOSE SAMPLE
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{
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const unsigned int nSample = $4, os = DMatSample::offset;
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if (state->dMatQueue.size() != nSample + os)
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{
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LATAN_ERROR(Size, "matrix sample '" + *state->streamName + ":"
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+ $3 + "' has a wrong size");
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}
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state->dMatSampleBuf.resize(nSample);
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state->dMatSampleBuf[central] = state->dMatQueue.front();
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state->dMatQueue.pop();
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for (unsigned int i = 0; i < nSample; ++i)
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{
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state->dMatSampleBuf[i] = state->dMatQueue.front();
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state->dMatQueue.pop();
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}
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strcpy($$, $3);
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}
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;
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mats:
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mats mat
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| mat
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;
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floats:
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floats FLOAT {state->doubleQueue.push($2);}
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| floats INT {state->doubleQueue.push(static_cast<double>($2));}
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| FLOAT {state->doubleQueue.push($1);}
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| INT {state->doubleQueue.push(static_cast<double>($1));}
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;
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