- Implement the basic structure of the mpi lib
and specialization for arrays, basic types, std::vector
- adapted the array class for the lazy mpi mechanism
- pass tests on arrays :
- scatter, gather on array<long,2> array<complex,2>, etc...
- broadcast
- several files for readibility
- the std::vector coded but not tested.
- generic mecanism implemented and tested (mpi_generic test)
- added several tests for the mpi lib.
- TODO : more tests, doc...
- The issue comes from the fact that the default generated
+= and co by the Python API is the one for immutable types, like int.
- Indeed, in python, for an int :
x=1
id(x)
140266967205832
x+=1
id(x)
140266967205808
- For a mutable type, like a gf, it is necessary to
add explicitly the xxx_inplace_add functions.
- Added :
- the generation of the inplace_xxx functions
- a method in class_ in the wrapper generator that
deduce all += operator from the + operators.
- this assumes that the +=, ... are defined in C++.
- The generation of such operators are optional, with option
with_inplace_operators in the arithmetic flag.
- Also, added the overload g += M and g -= M for
g : GfImfreq, M a complex matrix.
Mainly for legacy Python codes.
- Cleaned of the eigensystems computations (worker is simpler, decision
at runtime, etc..).
- Fix#119 : When the matrix is in C order, the fortran lapack
sees in fact its conjugate, so we need to conjugate the eigenvectors at the end.
NB : not true if the storage order of the matrix is already fortran of course.
- Add the possibility to give a function "on the fly"
for the precall and postcall of a python wrapped functoin.
- No change for previous code, it is a simple new feature.
- changed test accordingly. See my_module_desc.py for an example.
- For users : only change is :
H5::H5File in apps. to be replaced by triqs::h5::file, same API.
- using only the C API because :
- it is cleaner, better documented, more examples.
- it is the native hdf5 interface.
- simplify the installation e.g. on mac. Indeed, hdf5 is
usually installed without C++ interface, which is optional.
E.g. EPD et al., brew by default.
Also the infamous mpi+ hdf5_cpp bug, for which we have no clean solution.
- clean the notion of parent of a group. Not needed, better iterate function in C LT API.
- modified doc : no need for C++ bindings any more.
- modified cmake to avoid requiring CPP bindings.
- Use a new buffered_function to replace the complicated generator code from ALPS.
- Clean the implementation of the random_generator
- update the documentation
- update to the new python wrapper (could not be done with the previous
version, because of lack of move constructor).
- implement transposed_view for arrays.
- .transpose method for gf
- wrapped to python
- add call op. for GfImTime, using C++
- Added ChangeLog
- rm matrix_stack
- start cleaning old code
- an include missing on OS X
- change serialization in the general case where hdf5 can be used,
(version of hdf5 high enough) to use only one buffer,
not a buffer per field.
- put back the mpi_param example.
- new parameter class :
parameters are viewed as form, built in C++, and filled in C++/python.
Each field of the form as a precise C++ type (erased using standard techniques).
First tests ok, to be reread/checked.
TODO : serialization is commented. Lead to long compilation time & large code
due to boost::serialization. Use h5 when possible.
- wrapper :
- separated the converters of the wrapped type in the TRIQS library
- necessary for parameters (it used outside an .so) and potentially
other codes, outside an .so module
When constructing the last unit vector in 2D, the sanity check was wrong because of usage of abs instead of std::abs.
Added method energy_on_bz_path_2 that returns the energy *matrix* at each k point on a given path instead of the eigenvalues of this matrix. The name of the function should be changed (to energy_matrix_on_bz_path?)
Renaming energies_on_bz_path_2 to energy_matrix_on_bz_path
- h5/make_h5.... only used in parameters.
- old boost includes before C++11
- remove boost serialization, make macro TRIQS_MAKE_NVP temporarely
- remove boost::is_complex (can be written in 2 lines...)
- move some lib in cpp
- bool at_end() for a mesh point means AFTER the last point ,
as end in STL. It was not correct ( +1 missing).
- also the at_end was not computed in the mesh product.
- it slightly changes the test_fit_tail --> just changed the output.
--> did this bug affect other functions/codes ?
