2015-07-17 11:02 GMT+03:00 Stefan Behnel <stefan...@behnel.de>:
> Alex S. schrieb am 15.07.2015 um 13:51: > > The issue was described here: http://trac.cython.org/ticket/847 but was, > > however, misidentified. The wrapper for a function which receives "fused > > slice" (D[:]) arguments automatically includes the following code: > >> cdef type ndarray > >> try: > >> import numpy > >> ndarray = numpy.ndarray > >> except (ImportError, AttributeError, TypeError): > >> ndarray = None > > (Compiler/FusedNode.py:468). > > When numpy is not installed, each import tries to search for it in the > > system path. (When it is, it's just cached). This severely degrades the > > performance. > > Sounds like enabling the absolute_import future import might help at least > a little. > > > https://github.com/cython/cython/commit/ac4f248b4109cb17b2da53dc7b38e359c5dee612 > > But yes, this is definitely a problem. In general, the way extension types > are handled in the fused types dispatch code (and that includes numpy > arrays) would seriously benefit from optimisation, including cached > one-time imports. > > Stefan > > Thank you for your response! There's a similar problem in the Utility/MemoryView.py{,x} file concerning converting values from Python objects on index assignment. ("import struct") Is there any reason while this feature should not be on for all such code?
_______________________________________________ cython-devel mailing list cython-devel@python.org https://mail.python.org/mailman/listinfo/cython-devel
