Here's the code which is the first cell of a sage notebook (sage 4.0)
%cython
import numpy as np
cimport numpy as np
DTYPE = np.int
ctypedef np.int_t DTYPE_t
Here's the error:
Traceback (most recent call last): DTYPE = np.int
File
"/mnt/hdd/sage/sage-4.0/local/lib/python2.5/site-packages/sage/server/support.py",
line 408, in cython_import_all
create_local_c_file=create_local_c_file)
File
"/mnt/hdd/sage/sage-4.0/local/lib/python2.5/site-packages/sage/server/support.py",
line 385, in cython_import
create_local_c_file=create_local_c_file)
File
"/mnt/hdd/sage/sage-4.0/local/lib/python2.5/site-packages/sage/misc/cython.py",
line 367, in cython
raise RuntimeError, "Error converting %s to C:\n%s\n%s"%(filename, log, err)
RuntimeError: Error converting
/home/tarbox/.sage/sage_notebook/worksheets/admin/89/code/sage23.spyx
to C:
Error converting Pyrex file to C:
------------------------------------------------------------
...
include "cdefs.pxi"
import numpy as np
cimport numpy as np
DTYPE = np.int
ctypedef np.int_t DTYPE_t ^
------------------------------------------------------------
/home/tarbox/.sage/temp/hq2/12471/spyx/_home_tarbox__sage_sage_notebook_worksheets_admin_89_code_sage23_spyx/_home_tarbox__sage_sage_notebook_worksheets_admin_89_code_sage23_spyx_0.pyx:9:9:
'int_t' is not a type identifier
I tried with and without the "import numpy" directive thinking it may be
redundant...
This example comes from the "cython for numpy users" tutorial on the wiki
where it mentions that all numpy types have a corresponding _t type
There is indeed a numpy.int type... so I was wondering if the new work with
python buffers changed how things work.
-glenn
--
Glenn H. Tarbox, PhD || 206-274-6919
http://www.tarbox.org
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