mirror of
https://github.com/triqs/dft_tools
synced 2024-11-01 11:43:47 +01:00
c7a1a25846
- the flag is really enforce_copy and should force a copy - for a view : it is false, no change - for a regular type : it is true, and now this will enforce the copy in the call of numpy. numpy does it for us. - The problematic case was when we construct a regular type from a complicated view in python, which is an array but is not C contiguous. (hence the PyArray_Check was false, and the C_Contiguous flag was not set) Now it is fine, since we ask numpy to systematically copy the data for us and build a C contigous array. --> the constructor from python does not support custom memory layout because numpy only support C and Fortran Conflicts: triqs/arrays/impl/indexmap_storage_pair.hpp |
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| .. | ||
| arrays | ||
| clef | ||
| det_manip | ||
| gfs | ||
| h5 | ||
| lattice | ||
| mc_tools | ||
| operators | ||
| parameters | ||
| python_tools | ||
| statistics | ||
| utility | ||
| arrays.hpp | ||
| clef.hpp | ||
| CMakeLists.txt | ||
| det_manip.hpp | ||
| gfs.hpp | ||
| h5.hpp | ||
| mc_tools.hpp | ||
| parameters.hpp | ||
| statistics.hpp | ||
| version.hpp.in | ||