- forgot to correct the value_type of matrix_expr, and vector_expr
as was done long ago for arrays...
- also added cases for arrays until dim 10
- TODO : replace this trait in arrays with a tuple tools for any dim..
not urgent.
- for pieces that need to be precomputed for several
measures.
- put them under shared_ptr, and register then with add_measure_aux.
- they must be callable, as void ().
- TODO : add this in the doc when tested
- the condition p%2 ==1 was wrong if p<0 (never true!)
- added corresponding test (gf_notail)
Conflicts:
triqs/gfs/imtime.hpp
Fixed by O.P. : already fixed in Laura's pull request ...
- The kind() method of mesh should return a char,
like the parameter of the constructor of mesh,
not the C++ corresponding int.
- otherwise, the reduction - construction is broken
and by extension all pickling and then all mpi constructions.
- gf<cartesian_product<imfreq,imfreq>> was not correct
when out bounds. Fixed evaluator.
- tensor_proxy : fix the trait for algebra which was incorrect.
- TODO: clean code (repetition, put in mesh some windowing).
- there was a confusion in gf imfreq, in the new case
where freq can be <0 (non real gf, or for product gf).
- index: is the matsubara n, as in the struct matsubara_freq
index can be >0 or <0
- linear_index : is the shift from the 0. It is always >0.
Fixed function to compute it.
- Also changed the construction of mesh_point in the generic iterator.
Before, was constructed with a mesh point of index 0
Now, added a new constructor on mesh_point_t, just taking the mesh
which construct the *first* mesh_point.
Fixed linear, discrete, product accordingly.
Added to the documentation of the concepts of gf.
- little details : code cleaning, clang formatting, along
with documentation writing for c++ gf.
- separated the mesh in small class for better doc.
- work on documentation : reorganize specialisation, ...
- to choose mpi4py over boost.python.mpi, pass -DPython_use_mpi4py=ON
- boost.mpi stays the default for python, but
adding the possibility of using mpi4py instead.
- Due to numerous pbs on recent OS X + brew installation.
boost.mpi does not work (crash in openmpi ??), mpi4py does
- the pytriqs/utility/mpi.py is now configured by the cmake (like
version.py) to prepare one of the two possibilities.
- TODO: not tested carefully : to be done in other machines.
When an object with __hdf_write__ was written in an archive, the
corresponding key was not cached. Therefore, one could not access
the object which had just been written.
std::conj returns a complex according to std.
On gcc, we need to define it (bug?) but on clang libc++
it is an error.
-> one test is still failing : to be decided later
