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Commit 21055da5 authored by Sébastien Villemot's avatar Sébastien Villemot
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Remove incorrect use of static keyword 

This leads to a crash when the DLL is called several times in the same
Octave/MATLAB session.
parent aa9bbf8f
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Inline Side-by-side
mex/sources/estimation/logMHMCMCposterior.cc
View file @ 21055da5
/*
* Copyright (C) 2010-2012 Dynare Team
* Copyright (C) 2010-2013 Dynare Team
*
* This file is part of Dynare.
*
......@@ -54,28 +54,27 @@ void
fillEstParamsInfo(const mxArray *estim_params_info, EstimatedParameter::pType type,
std::vector<EstimatedParameter> &estParamsInfo)
{
// execute once only
static const mxArray *bayestopt_ = mexGetVariablePtr("global", "bayestopt_");
static const mxArray *bayestopt_ubp = mxGetField(bayestopt_, 0, "ub"); // upper bound
static const mxArray *bayestopt_lbp = mxGetField(bayestopt_, 0, "lb"); // lower bound
static const mxArray *bayestopt_p1p = mxGetField(bayestopt_, 0, "p1"); // prior mean
static const mxArray *bayestopt_p2p = mxGetField(bayestopt_, 0, "p2"); // prior standard deviation
static const mxArray *bayestopt_p3p = mxGetField(bayestopt_, 0, "p3"); // lower bound
static const mxArray *bayestopt_p4p = mxGetField(bayestopt_, 0, "p4"); // upper bound
static const mxArray *bayestopt_p6p = mxGetField(bayestopt_, 0, "p6"); // first hyper-parameter (\alpha for the BETA and GAMMA distributions, s for the INVERSE GAMMAs, expectation for the GAUSSIAN distribution, lower bound for the UNIFORM distribution).
static const mxArray *bayestopt_p7p = mxGetField(bayestopt_, 0, "p7"); // second hyper-parameter (\beta for the BETA and GAMMA distributions, \nu for the INVERSE GAMMAs, standard deviation for the GAUSSIAN distribution, upper bound for the UNIFORM distribution).
static const mxArray *bayestopt_jscalep = mxGetField(bayestopt_, 0, "jscale"); // MCMC jump scale
static const size_t bayestopt_size = mxGetM(bayestopt_);
static const VectorConstView bayestopt_ub(mxGetPr(bayestopt_ubp), bayestopt_size, 1);
static const VectorConstView bayestopt_lb(mxGetPr(bayestopt_lbp), bayestopt_size, 1);
static const VectorConstView bayestopt_p1(mxGetPr(bayestopt_p1p), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "p1");
static const VectorConstView bayestopt_p2(mxGetPr(bayestopt_p2p), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "p2");
static const VectorConstView bayestopt_p3(mxGetPr(bayestopt_p3p), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "p3");
static const VectorConstView bayestopt_p4(mxGetPr(bayestopt_p4p), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "p4");
static const VectorConstView bayestopt_p6(mxGetPr(bayestopt_p6p), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "p6");
static const VectorConstView bayestopt_p7(mxGetPr(bayestopt_p7p), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "p7");
static const VectorConstView bayestopt_jscale(mxGetPr(bayestopt_jscalep), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "jscale");
const mxArray *bayestopt_ = mexGetVariablePtr("global", "bayestopt_");
const mxArray *bayestopt_ubp = mxGetField(bayestopt_, 0, "ub"); // upper bound
const mxArray *bayestopt_lbp = mxGetField(bayestopt_, 0, "lb"); // lower bound
const mxArray *bayestopt_p1p = mxGetField(bayestopt_, 0, "p1"); // prior mean
const mxArray *bayestopt_p2p = mxGetField(bayestopt_, 0, "p2"); // prior standard deviation
const mxArray *bayestopt_p3p = mxGetField(bayestopt_, 0, "p3"); // lower bound
const mxArray *bayestopt_p4p = mxGetField(bayestopt_, 0, "p4"); // upper bound
const mxArray *bayestopt_p6p = mxGetField(bayestopt_, 0, "p6"); // first hyper-parameter (\alpha for the BETA and GAMMA distributions, s for the INVERSE GAMMAs, expectation for the GAUSSIAN distribution, lower bound for the UNIFORM distribution).
const mxArray *bayestopt_p7p = mxGetField(bayestopt_, 0, "p7"); // second hyper-parameter (\beta for the BETA and GAMMA distributions, \nu for the INVERSE GAMMAs, standard deviation for the GAUSSIAN distribution, upper bound for the UNIFORM distribution).
const mxArray *bayestopt_jscalep = mxGetField(bayestopt_, 0, "jscale"); // MCMC jump scale
const size_t bayestopt_size = mxGetM(bayestopt_);
const VectorConstView bayestopt_ub(mxGetPr(bayestopt_ubp), bayestopt_size, 1);
const VectorConstView bayestopt_lb(mxGetPr(bayestopt_lbp), bayestopt_size, 1);
const VectorConstView bayestopt_p1(mxGetPr(bayestopt_p1p), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "p1");
const VectorConstView bayestopt_p2(mxGetPr(bayestopt_p2p), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "p2");
const VectorConstView bayestopt_p3(mxGetPr(bayestopt_p3p), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "p3");
const VectorConstView bayestopt_p4(mxGetPr(bayestopt_p4p), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "p4");
const VectorConstView bayestopt_p6(mxGetPr(bayestopt_p6p), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "p6");
const VectorConstView bayestopt_p7(mxGetPr(bayestopt_p7p), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "p7");
const VectorConstView bayestopt_jscale(mxGetPr(bayestopt_jscalep), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "jscale");
// loop processsing
size_t m = mxGetM(estim_params_info), n = mxGetN(estim_params_info);
......
mex/sources/estimation/logposterior.cc
View file @ 21055da5
/*
* Copyright (C) 2010-2012 Dynare Team
* Copyright (C) 2010-2013 Dynare Team
*
* This file is part of Dynare.
*
......@@ -43,27 +43,26 @@ void
fillEstParamsInfo(const mxArray *bayestopt_, const mxArray *estim_params_info, EstimatedParameter::pType type,
std::vector<EstimatedParameter> &estParamsInfo)
{
// execute once only
static const mxArray *bayestopt_ubp = mxGetField(bayestopt_, 0, "ub"); // upper bound
static const mxArray *bayestopt_lbp = mxGetField(bayestopt_, 0, "lb"); // lower bound
static const mxArray *bayestopt_p1p = mxGetField(bayestopt_, 0, "p1"); // prior mean
static const mxArray *bayestopt_p2p = mxGetField(bayestopt_, 0, "p2"); // prior standard deviation
static const mxArray *bayestopt_p3p = mxGetField(bayestopt_, 0, "p3"); // lower bound
static const mxArray *bayestopt_p4p = mxGetField(bayestopt_, 0, "p4"); // upper bound
static const mxArray *bayestopt_p6p = mxGetField(bayestopt_, 0, "p6"); // first hyper-parameter (\alpha for the BETA and GAMMA distributions, s for the INVERSE GAMMAs, expectation for the GAUSSIAN distribution, lower bound for the UNIFORM distribution).
static const mxArray *bayestopt_p7p = mxGetField(bayestopt_, 0, "p7"); // second hyper-parameter (\beta for the BETA and GAMMA distributions, \nu for the INVERSE GAMMAs, standard deviation for the GAUSSIAN distribution, upper bound for the UNIFORM distribution).
static const mxArray *bayestopt_jscalep = mxGetField(bayestopt_, 0, "jscale"); // MCMC jump scale
static const size_t bayestopt_size = mxGetM(bayestopt_);
static const VectorConstView bayestopt_ub(mxGetPr(bayestopt_ubp), bayestopt_size, 1);
static const VectorConstView bayestopt_lb(mxGetPr(bayestopt_lbp), bayestopt_size, 1);
static const VectorConstView bayestopt_p1(mxGetPr(bayestopt_p1p), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "p1");
static const VectorConstView bayestopt_p2(mxGetPr(bayestopt_p2p), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "p2");
static const VectorConstView bayestopt_p3(mxGetPr(bayestopt_p3p), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "p3");
static const VectorConstView bayestopt_p4(mxGetPr(bayestopt_p4p), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "p4");
static const VectorConstView bayestopt_p6(mxGetPr(bayestopt_p6p), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "p6");
static const VectorConstView bayestopt_p7(mxGetPr(bayestopt_p7p), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "p7");
static const VectorConstView bayestopt_jscale(mxGetPr(bayestopt_jscalep), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "jscale");
const mxArray *bayestopt_ubp = mxGetField(bayestopt_, 0, "ub"); // upper bound
const mxArray *bayestopt_lbp = mxGetField(bayestopt_, 0, "lb"); // lower bound
const mxArray *bayestopt_p1p = mxGetField(bayestopt_, 0, "p1"); // prior mean
const mxArray *bayestopt_p2p = mxGetField(bayestopt_, 0, "p2"); // prior standard deviation
const mxArray *bayestopt_p3p = mxGetField(bayestopt_, 0, "p3"); // lower bound
const mxArray *bayestopt_p4p = mxGetField(bayestopt_, 0, "p4"); // upper bound
const mxArray *bayestopt_p6p = mxGetField(bayestopt_, 0, "p6"); // first hyper-parameter (\alpha for the BETA and GAMMA distributions, s for the INVERSE GAMMAs, expectation for the GAUSSIAN distribution, lower bound for the UNIFORM distribution).
const mxArray *bayestopt_p7p = mxGetField(bayestopt_, 0, "p7"); // second hyper-parameter (\beta for the BETA and GAMMA distributions, \nu for the INVERSE GAMMAs, standard deviation for the GAUSSIAN distribution, upper bound for the UNIFORM distribution).
const mxArray *bayestopt_jscalep = mxGetField(bayestopt_, 0, "jscale"); // MCMC jump scale
const size_t bayestopt_size = mxGetM(bayestopt_);
const VectorConstView bayestopt_ub(mxGetPr(bayestopt_ubp), bayestopt_size, 1);
const VectorConstView bayestopt_lb(mxGetPr(bayestopt_lbp), bayestopt_size, 1);
const VectorConstView bayestopt_p1(mxGetPr(bayestopt_p1p), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "p1");
const VectorConstView bayestopt_p2(mxGetPr(bayestopt_p2p), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "p2");
const VectorConstView bayestopt_p3(mxGetPr(bayestopt_p3p), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "p3");
const VectorConstView bayestopt_p4(mxGetPr(bayestopt_p4p), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "p4");
const VectorConstView bayestopt_p6(mxGetPr(bayestopt_p6p), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "p6");
const VectorConstView bayestopt_p7(mxGetPr(bayestopt_p7p), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "p7");
const VectorConstView bayestopt_jscale(mxGetPr(bayestopt_jscalep), bayestopt_size, 1); //=mxGetField(bayestopt_, 0, "jscale");
// loop processsing
size_t m = mxGetM(estim_params_info), n = mxGetN(estim_params_info);
......
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