No, the latest release does not solve this issue. And in a bit more detail:
The latest release supports upstream numpy (mostly) using a C-API
compatibility layer we call cpyext. This is a totally different approach
than using our internal _numpypy module and the python-level code from
bitbucket/pypy/numpy.
While the new approach allows you to use upstream (i.e.
github.com/numpy/numpy) numpy over the latest release of PyPY, the code
will run much slower, and the JIT will not be able to help since it
cannot look inside C code. We have some ideas on how to make this fast,
but they are just ideas right now.
Matti
On 09/06/16 00:39, Eli Stevens (Gmail) wrote:
I asked about the following about a month ago:
======================================================================
ERROR: Failure: ImportError (No module named numpy.core.multiarray_tests)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/elis/venv/ppdb/site-packages/nose/loader.py", line 418,
in loadTestsFromName
addr.filename, addr.module)
File "/home/elis/venv/ppdb/site-packages/nose/importer.py", line 47,
in importFromPath
return self.importFromDir(dir_path, fqname)
File "/home/elis/venv/ppdb/site-packages/nose/importer.py", line 94,
in importFromDir
mod = load_module(part_fqname, fh, filename, desc)
File
"/home/elis/venv/ppdb/site-packages/numpy/core/tests/test_multiarray.py",
line 22, in <module>
from numpy.core.multiarray_tests import (
ImportError: No module named numpy.core.multiarray_tests
And was told by Matti:
multiarray_tests comes from numpy/core/src/multiarray/multiarray.c.src which is
compiled to a C-API module.
We skip building it as we have quite a way to go before we can support that
level of C-API compatibility.
Is there any change in behavior expected with the new release
regarding these kinds of errors?
Thanks,
Eli
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