[Numpy-discussion] Fixes to numexpr string support

Hi all, these are just a couple of small fixes to the string support in Numexpr, and a test case for the string copy operation. For the base patches: 1.http://www.mail-archive.com/numpy-discussion@lists.sourceforge.net/msg01551.html

[Numpy-discussion] please restore the way dtype prints to original version

Hi, Change set 3213 changed the data type printing with an array from something like dtype=int64 to dtype='int64'. Although this is a small cosmetic change it has broken all of the doctests I have written for numpy code. I expect that I am not the only person this change has caught. Please

[Numpy-discussion] Downcasting to smallest storage

Hi, I am sorry if I have missed anything obvious here, but is there a fast simple way to downcast an array to the smallest storage that hold array data within a specified precision - e.g. a = array([1.0]) small_a = fantasy_function(a, rtol=1.0001e-05, atol=1e-08 ) b = array([1.2])

[Numpy-discussion] Negative division and numpy scalars

Hi, I have been bitten by a subtlety in numpy scalar divisions. The next exposes the issue: -1/20 -1 Numeric.array([-1])[0] / Numeric.array([20])[0] -1 numarray.array([-1])[0] / numarray.array([20])[0] -1 numpy.array([-1])[0] / numpy.array([20])[0] 0 After some digging, I've found that

Re: [Numpy-discussion] please restore the way dtype prints to original version

Christopher Hanley wrote: Hi, Change set 3213 changed the data type printing with an array from something like dtype=int64 to dtype='int64'. Although this is a small cosmetic change it has broken all of the doctests I have written for numpy code. I was changing the way dtypes print and

Re: [Numpy-discussion] NumPy types -- Numeric typecodes map?

Francesc Altet wrote: Hi, Anybody know if there is a map between NumPy types and Numeric typecodes? Something like 'typecodes' for numarray: How about dtype(obj).char? -Travis - Take Surveys. Earn Cash. Influence the

Re: [Numpy-discussion] NumPy types -- Numeric typecodes map?

El dl 25 de 09 del 2006 a les 11:08 -0600, en/na Travis Oliphant va escriure: Francesc Altet wrote: Hi, Anybody know if there is a map between NumPy types and Numeric typecodes? Something like 'typecodes' for numarray: How about dtype(obj).char? This doesn't work for many types:

Re: [Numpy-discussion] NumPy types -- Numeric typecodes map?

Francesc Altet wrote: El dl 25 de 09 del 2006 a les 11:08 -0600, en/na Travis Oliphant va escriure: Francesc Altet wrote: Hi, Anybody know if there is a map between NumPy types and Numeric typecodes? Something like 'typecodes' for numarray: Oh, you mean actual Numeric

[Numpy-discussion] Numpy RC1 build blows up

I've just tried building RC1 on OSX 10.4 (Intel), and it fails almost immediately. This did not fail in the past with beta5 or from SVN: Osoyoos:~/Development/numpy-1.0rc1 chris$ python setup.py build Running from numpy source directory. F2PY Version 2_3198 blas_opt_info: FOUND:

Re: [Numpy-discussion] Numpy RC1 build blows up

[EMAIL PROTECTED] wrote: I've just tried building RC1 on OSX 10.4 (Intel), and it fails almost immediately. This did not fail in the past with beta5 or from SVN: It looks like a problem on your end: gcc: installation problem, cannot exec `cc1': No such file or directory Can you build

Re: [Numpy-discussion] Numpy RC1 build blows up -- IGNORE

Ignore this query -- silly mistake on my part. Sorry. On Sep 25, 2006, at 2:30 PM, [EMAIL PROTECTED] wrote: I've just tried building RC1 on OSX 10.4 (Intel), and it fails almost immediately. This did not fail in the past with beta5 or from SVN: Osoyoos:~/Development/numpy-1.0rc1 chris$