On Thu, May 22, 2014 at 1:50 PM, Darlan Cavalcante Moreira <darc...@gmail.com> 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 > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion
This regression should now be fixed in the numpy development version. _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
