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* ENH: reorder includes for system installationsmattip2022-07-201-1/+1
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* Merge pull request #20831 from bwoodsend/numpy-testing-depends-on-distutilsRalf Gommers2022-01-201-2/+2
|\ | | | | BUG: Avoid importing numpy.distutils on import numpy.testing (#20769)
| * BUG: Avoid importing numpy.distutils on import numpy.testing (#20769)bwoodsend2022-01-161-2/+2
| | | | | | | | | | Move the offending imports into the functions that use them so that numpy.distutils is only loaded if those functions are required.
* | MAINT, DOC: fix new typos detected by codespellDimitri Papadopoulos2022-01-121-1/+1
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* BUG: fix test c-extension compilation inside a venvmattip2021-10-281-1/+1
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* ENH: Configurable allocator (#17582)Matti Picus2021-10-251-0/+251
Fixes gh-17467. Adds a public struct to hold memory manipulation routines PyDataMem_Handler and two new API functions PyDataMem_SetHandler to replace the current routines with the new ones, and PyDataMem_GetHandlerName to get the string name of the current routines (either globally or for a specific ndarray object). This also changes the size of the ndarray object to hold the PyDataMem_Handler active when it was created so subsequent actions on its data memory will remain consistent. Tests and documentation are included. Along the way, I found some places in the code where the current policy is inconsistent (all data memory handling should have gone through npy_*_cache not PyDataMem_*) so even if this is rejected it might improve the cache handling. The PyDataMem_Handler has fields to override memcpy, these are currently not implemented: memcpy in the code base is untouched. I think this PR is invasive enough as-is, if desired memcpy can be handled in a follow-up PR. * ENH: add and use global configurable memory routines * ENH: add tests and a way to compile c-extensions from tests * fix allocation/free exposed by tests * DOC: document the new APIs (and some old ones too) * BUG: return void from FREE, also some cleanup * MAINT: changes from review * fixes from linter * setting ndarray->descr on 0d or scalars mess with FREE * make scalar allocation more consistent wrt np_alloc_cache * change formatting for sphinx * remove memcpy variants * update to match NEP 49 * ENH: add a python-level get_handler_name * ENH: add core.multiarray.get_handler_name * Allow closure-like definition of the data mem routines * Fix incompatible pointer warnings * Note PyDataMemAllocator and PyMemAllocatorEx differentiation Co-authored-by: Matti Picus <matti.picus@gmail.com> * Redefine default allocator handling * Always allocate new arrays using the current_handler * Search for the mem_handler name of the data owner * Sub-comparisons don't need a local mem_handler * Make the default_handler a valid PyDataMem_Handler * Fix PyDataMem_SetHandler description (NEP discussion) * Pass the allocators by reference * Implement allocator context-locality * Fix documentation, make PyDataMem_GetHandler return const * remove import of setuptools==49.1.3, doesn't work on python3.10 * Fix refcount leaks * fix function signatures in test * Return early on PyDataMem_GetHandler error (VOID_compare) * Add context/thread-locality tests, allow testing custom policies * ENH: add and use global configurable memory routines * ENH: add tests and a way to compile c-extensions from tests * fix allocation/free exposed by tests * DOC: document the new APIs (and some old ones too) * BUG: return void from FREE, also some cleanup * MAINT: changes from review * fixes from linter * setting ndarray->descr on 0d or scalars mess with FREE * make scalar allocation more consistent wrt np_alloc_cache * change formatting for sphinx * remove memcpy variants * update to match NEP 49 * ENH: add a python-level get_handler_name * ENH: add core.multiarray.get_handler_name * Allow closure-like definition of the data mem routines * Fix incompatible pointer warnings * Note PyDataMemAllocator and PyMemAllocatorEx differentiation Co-authored-by: Matti Picus <matti.picus@gmail.com> * Redefine default allocator handling * Always allocate new arrays using the current_handler * Search for the mem_handler name of the data owner * Sub-comparisons don't need a local mem_handler * Make the default_handler a valid PyDataMem_Handler * Fix PyDataMem_SetHandler description (NEP discussion) * Pass the allocators by reference * remove import of setuptools==49.1.3, doesn't work on python3.10 * fix function signatures in test * try to fix cygwin extension building * YAPF mem_policy test * Less empty lines, more comments (tests) * Apply suggestions from code review (set an exception and) Co-authored-by: Matti Picus <matti.picus@gmail.com> * skip test on cygwin * update API hash for changed signature * TST: add gc.collect to make sure cycles are broken * Implement thread-locality for PyPy Co-authored-by: Sebastian Berg <sebastian@sipsolutions.net> * Update numpy/core/tests/test_mem_policy.py Co-authored-by: Sebastian Berg <sebastian@sipsolutions.net> * fixes from review * update circleci config * fix test * make the connection between OWNDATA and having a allocator handle more explicit * improve docstring, fix flake8 for tests * update PyDataMem_GetHandler() from review * Implement allocator lifetime management * update NEP and add best-effort handling of error in PyDataMem_UserFREE * ENH: fix and test for blindly taking ownership of data * Update doc/neps/nep-0049.rst Co-authored-by: Elias Koromilas <elias.koromilas@gmail.com>