On Fri, Jun 20, 2008 at 11:21 PM, Charles R Harris
[EMAIL PROTECTED] wrote:
Shouldn't this raise an NotImplementedError exception?
In [7]: type(remainder(complex192(1), complex192(1)))
Out[7]: type 'NotImplementedType'
I suspect these types should both have Py_TPFLAGS_CHECKTYPES bit set in
Dag wrote:
General feedback is welcome; in particular, I need more opinions about
what syntax people would like. We seem unable to find something that we
really like; this is the current best candidate (cdef is the way you
declare types on variables in Cython):
cdef int i = 4, j = 6
cdef
Hi Dag,
General feedback is welcome; in particular, I need more opinions about
what syntax people would like. We seem unable to find something that
we
really like; this is the current best candidate (cdef is the way you
declare types on variables in Cython):
cdef int i = 4, j = 6
cdef
On Sat, June 21, 2008 3:28 pm, Helmut Rathgen wrote:
Dear all,
I am trying to write a setp.py based on numpy.distutils for a mixed
python/fortran90 package.
I'd like to specify the fortran compiler, such as the path to the
compiler, compiler flags, etc. in setup.py.
I seemed to understand
Charles R Harris wrote:
Shouldn't this raise an NotImplementedError exception?
In [7]: type(remainder(complex192(1), complex192(1)))
Out[7]: type 'NotImplementedType'
I'm not sure if it is relevant in this case but we do need to keep in
mind that Python uses the NotImplementedType as a signal
On Sat, Jun 21, 2008 at 7:39 AM, Travis E. Oliphant [EMAIL PROTECTED]
wrote:
Charles R Harris wrote:
Shouldn't this raise an NotImplementedError exception?
In [7]: type(remainder(complex192(1), complex192(1)))
Out[7]: type 'NotImplementedType'
I'm not sure if it is relevant in this case
It looks like the Windows_XP_x86_64_MSVC buildbot is stuck in the
build phase for some reason.
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On Sat, Jun 21, 2008 at 08:59:25AM +0200, Dag Sverre Seljebotn wrote:
The negative indices thing is potentially confusing to new users. Pex uses
a different syntax (arr{i, j} for efficient array lookups) partly to make
this fact very explicit. Thoughts?
I don't like the different syntax. I
Hi,
Thanks a lot for the email - it's an exciting project.
cdef int i = 4, j = 6
cdef np.ndarray[np.float64, 2] arr = np.zeros((10, 10), dtype=np.float64)
arr[i, j] = 1
I'm afraid I'm going to pitch into an area I'm ignorant of, and I'm
sorry for that, but do you think there is any way of
On Sat, Jun 21, 2008 at 8:57 AM, Charles R Harris [EMAIL PROTECTED]
wrote:
On Sat, Jun 21, 2008 at 7:39 AM, Travis E. Oliphant
[EMAIL PROTECTED] wrote:
Charles R Harris wrote:
Shouldn't this raise an NotImplementedError exception?
In [7]: type(remainder(complex192(1), complex192(1)))
Matthew Brett wrote:
Hi,
Thanks a lot for the email - it's an exciting project.
cdef int i = 4, j = 6
cdef np.ndarray[np.float64, 2] arr = np.zeros((10, 10),
dtype=np.float64)
arr[i, j] = 1
I'm afraid I'm going to pitch into an area I'm ignorant of, and I'm
sorry for that, but do you
On Fri, Jun 20, 2008 at 11:50 PM, Dag Sverre Seljebotn
[EMAIL PROTECTED] wrote:
Since there's been a lot of Cython discussion lately I thought I'd speak
up and start a thread specifically for my project.
Thanks for coming over for the discussion!
The code above the under the hood acquires a
Joris De Ridder wrote:
Hi Dag,
General feedback is welcome; in particular, I need more opinions about
what syntax people would like. We seem unable to find something that
we
really like; this is the current best candidate (cdef is the way you
declare types on variables in Cython):
cdef
Fernando Perez wrote:
On Fri, Jun 20, 2008 at 11:50 PM, Dag Sverre Seljebotn
[EMAIL PROTECTED] wrote:
Since there's been a lot of Cython discussion lately I thought I'd speak
up and start a thread specifically for my project.
Thanks for coming over for the discussion!
The code above the
On Sat, Jun 21, 2008 at 12:01 PM, Charles R Harris
[EMAIL PROTECTED] wrote:
On Sat, Jun 21, 2008 at 8:57 AM, Charles R Harris
[EMAIL PROTECTED] wrote:
On Sat, Jun 21, 2008 at 7:39 AM, Travis E. Oliphant
[EMAIL PROTECTED] wrote:
Charles R Harris wrote:
Shouldn't this raise an
Hi Dag
2008/6/21 Dag Sverre Seljebotn [EMAIL PROTECTED]:
However, I could make it so that if you left out the type, it would be
auto-detected. I.e.:
cdef np.ndarray[2] arr = ...
cdef np.float64 x = arr[3,4]
Would it not be possible for Cython to make the necessary C-API calls
to query the
2008/6/20 Robert Kern [EMAIL PROTECTED]:
Are they initializing different copies of the same thing?
No. import numpy is essentially the same as the pure Python
equivalent; it loads the module and puts it into the namespace.
cnp.import_array() loads the module (or reuses the already loaded
On Sat, Jun 21, 2008 at 7:39 AM, Travis E. Oliphant [EMAIL PROTECTED]
wrote:
Charles R Harris wrote:
Shouldn't this raise an NotImplementedError exception?
In [7]: type(remainder(complex192(1), complex192(1)))
Out[7]: type 'NotImplementedType'
I'm not sure if it is relevant in this case
The discussion has moved to :
http://wiki.cython.org/enhancements/parallel
Quoting Rahul Garg [EMAIL PROTECTED]:
Thanks for pointing them out. I will look into both of them. I like
the with statement. From an implementation perspective, the with
statement looks simpler since the Python parser
2008/6/21 Dag Sverre Seljebotn [EMAIL PROTECTED]:
Dag wrote:
General feedback is welcome; in particular, I need more opinions about
what syntax people would like. We seem unable to find something that we
really like; this is the current best candidate (cdef is the way you
declare types on
Anne Archibald wrote:
2008/6/21 Dag Sverre Seljebotn [EMAIL PROTECTED]:
Dag wrote:
General feedback is welcome; in particular, I need more opinions about
what syntax people would like. We seem unable to find something that we
really like; this is the current best candidate (cdef is the way
I am very worried about the negative numbers issue. It's the sort of
thing that will readily lead to errors, and that produces a
significant difference between cython and python. I understand the
performance issues that motivate it, but cython really needs to be
easy to use or we might as
Hi,
The feature of compiling code for multiple types is somewhat orthogonal to
ndarray support; better treat them seperately and take one at the time.
Well, it's relevant to numpy because if you want to implement - for
example - a numpy sort, then you've got to deal with an unspecified
number
On Sat, Jun 21, 2008 at 15:49, Stéfan van der Walt [EMAIL PROTECTED] wrote:
2008/6/20 Robert Kern [EMAIL PROTECTED]:
Are they initializing different copies of the same thing?
No. import numpy is essentially the same as the pure Python
equivalent; it loads the module and puts it into the
On Sat, Jun 21, 2008 at 17:08, Anne Archibald [EMAIL PROTECTED] wrote:
My suggestion is this: allow negative indices, accepting the cost in
tight loops. (If bounds checking is enabled, the cost will be
negligible anyway.) Provide a #pragma allowing the user to assert that
a certain piece of
2008/6/21 Robert Kern [EMAIL PROTECTED]:
On Sat, Jun 21, 2008 at 17:08, Anne Archibald [EMAIL PROTECTED] wrote:
My suggestion is this: allow negative indices, accepting the cost in
tight loops. (If bounds checking is enabled, the cost will be
negligible anyway.) Provide a #pragma allowing the
On Sat, Jun 21, 2008 at 18:45, Anne Archibald [EMAIL PROTECTED] wrote:
2008/6/21 Robert Kern [EMAIL PROTECTED]:
On Sat, Jun 21, 2008 at 17:08, Anne Archibald [EMAIL PROTECTED] wrote:
My suggestion is this: allow negative indices, accepting the cost in
tight loops. (If bounds checking is
On Fri, Jun 20, 2008 at 6:22 PM, Alan McIntyre [EMAIL PROTECTED]
wrote:
On Fri, Jun 20, 2008 at 7:22 PM, Fernando Perez [EMAIL PROTECTED]
wrote:
It may be worth bringing it up wtih the nose guys here:
http://lists.idyll.org/listinfo/testing-in-python
The nose author seems very
These changes are now checked in, with the changes Robert suggested:
numpy.test() returns a TextTestResult object again, and coverage (if
enabled) is limited to the package from which test is called.
The tests still fail because the buildbots don't have nose installed, though.
On Fri, Jun 20,
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