- Even in models where there is only one endogenous variable in the
LHS and where all the LHS are unique, it may be that because of the
preprocessor transformations an auxiliary variable appears in more
than one LHS. If diff(X) is on the LHS of an equation in the original
model, the preprocessor will create an auxiliary variable AUX_DIFF
which will appear in the the original equation, replacing diff(X),
and in a new equation defining the auxiliary variable. In this case
the, the Dulmage-Mendelsohn decomposition will associate AUX_DIFF
with the original equation and X with the equation. This was
problematic in the previous version of the algorithm, since it was
assumed that each equation determines the LHS variable (here AUX_DIFF
= X - X(-1) determines a RHS variable (X).
- Changed the expression for evaluating an LHS variable under a log.
- Improved efficiency by not evaluating the residuals of the model if
not required for solving the current univariate block.
— Rework the function that handles the macro-expansion of the .mod file
— Rework equation tags (preprocessor#38)
— Provide M_ as an output to stoch_simul and discretionary_policy (!1711)
- did not account for cases when username not set (namely when remote is localhost)
- did not account for cases when remote directory was not set (namely when remote is localhost)
- added unnecessary `filesep` to `pname` when `pname` was empty
- ignore unused output arguments (it is necessary to explicitly ignore them to prevent unwanted output from the `system` call)
- globbing did not work as it was expanded on the calling machine not the remote; pass call to `bash -c` to handle this
The Emacs lisp source file was failing byte-compilation, because the
“dynare-blocks” variable was used within an “eval-when-compile” block, while
its definition was not in such a block.
The copy of MathJax that we were embedding was not source code, because it
contained minified Javascript. In particular, this is a problem for the
official Debian package.
We now strip the copy. Users compiling the HTML manual from the source tarball
will therefore get MathJax from a CDN (this is the default behaviour of
Sphinx).
These algorithms are alternative versions of 2 and 4 specialized for
models where each equation has only one endogenous variable on the
left hand side (only allowed expression on LHS is the log of an
endogenous variable). Univariate recursive blocks are then not solved
with a non linear but by evaluating the RHS expression.
- macro processor: allow for the definition of a variable without a value
- dragonfly: add new field to `options_.parallel_info`
- fix lookbehind to handle `-` sign in substitution of dates in native statements
- remove support for weekly dates
- dragonfly: support ProgramConfig config file option
- dragonfly: support ProgramPath config file option
- add undocumented `gui` option to preprocessor
- occbin: support occbin tags in equation tags, add occbin_likelihood and occbin_smoother as options to estimation
- make loop variables const
- Combine `DynareMain.cc` and `DynareMain2.cc`
In Octave, when some values given to the sparse() function are numerically
zero, then the nzmax of the generated sparse matrix is shrinked accordingly;
while under MATLAB, the nzmax is the length of the vector of values, zeros
included.
The check at the top of
DynamicModelMFile::unpackSparseMatrixAndCopyIntoTwoDMatData() would then fail
under Octave if some higher-derivatives had an element which is symbolically
non-zero but numerically zero.
We therefore relax the check, and accordingly adapt the code that handles
numerical zeros.
This bug was uncovered by tests/pruning/AnSchorfheide_pruned_state_space.mod,
which was failing under Octave.
Johannes Pfeifer
Sébastien Villemot
Houtan Bastani