argri...@ncsu.edu writes:
> On Thu, May 22, 2014 at 1:50 PM, Darlan Cavalcante Moreira
> wrote:
>>
>> After updating Ubuntu to 14.04 and thus numpy to version 1.8.1 I'm
>> having problems with the linalg.matrix_rank function that I didn't have
>> before (as far as I know).
>>
>> More specifically, I get the error
>> "TypeError: No loop matching the specified signature was found for ufunc
>> svd_m"
>> when I try to calculate the rank of a non-square complex matrix, but it does
>> not
>> happen for any non-square matrix.
>>
>>
>> Below you can find the cases tyhat work and the case that doesn't work.
>>
>> --8<---cut here---start->8---
>> # Real matrices
>> A = np.random.randn(3,3);
>> A = np.random.randn(4,3);
>> A = np.random.randn(3,4);
>> np.linalg.matrix_rank(A) # Works for any of the previous 'A' matrices
>>
>> # Complex matrices
>> A = np.random.randn(3,3) + 1j*np.random.randn(3,3);
>> A = np.random.randn(4,3) + 1j*np.random.randn(4,3);
>> np.linalg.matrix_rank(A) # Works for any of the previous 'A' matrices
>>
>> # For the matrix below I get the error
>> A = np.random.randn(3,4) + 1j*np.random.randn(3,4);
>> np.linalg.matrix_rank(A) # Does not work and gives me the TypeError
>> --8<---cut here---end--->8---
>>
>>
>> --
>> Darlan Cavalcante Moreira
>> darc...@gmail.com
>> ___
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>
> This regression should now be fixed in the numpy development version.
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Wow, that was fast. Thanks!
I just cloned the git repo and installed the development version and it
is working now.
--
Darlan Cavalcante Moreira
darc...@gmail.com
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