- examples split from the rst file using a python script (split_code).
- Final result for the doc is unchanged.
- examples are compiled and tested with the other tests.
- examples' code have been clang-formatted, with triqs style.
- doc compiles much faster, and with the same options as the rest of the
test.
- examples are added as tests, so they are run by make test, as simple C
tests.
- done for the tutorials and the reference.
- autocompile removed (changed into triqs_example directive).
- add triqs_example :
- make a literal include of the source code.
- runs the compiled example
- add, as before, the result to the source code in the doc.
- added the script split_code, used to make the changes automatically,
maybe for later reuse. (in _tools)
- clean the c_name.
- add more refined signature (with c_name optionally in it).
- add some autodoc.
- clean code : move class in nested, remove useless dict call, etc...
- operator2 : move unary - and unit in algebra in general wrapper.
- various name change to make private function start with _, for
autodoc.
- 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).
- fold was not correct in e.g. passing an int as init instead of a
double (was leading to narrowing in return).
- better return type deduction.
- there was an error in the doc (order of argument in the lambda !)
- add a more complex example (Frobenius norm of matrices).
-> code was previously assuming mesh with only positive, fermionic matsubara freqs
-> changed wn_min to n_min (was misleading, since it was an index, not a frequency) / same for <-> max
-> changed doc accordingly
- added test for a 'real-life' GF + corresponding output
- added basic usage documentation for tail fitting from c++. Full implementation details yet to be written
- 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, ...
- lazy_fourier and co --> fourier
- ex fourier --> make_gf_from_fourier to make a new gf
- = fourier (g) works only iif lhs is a view, like scalar.
- updated python (commented fourier method).
A trivial cythonized version of the c++ random_generator class.
Useful to get the names of the generators from the python.
new file: pytriqs/random/*
new file: doc/reference/python/random/*
Now the tail have a fixed size. It actually makes everything simpler. I took
order_min = -1 and order_max = 8. This makes the tails compatible with the
previous implementation. However we might want to change this to something like
-10, 10 so that they are self-contained. This commit should also fix issue #11.
