[Numpy-discussion] A bug in scipy.linalg.lu_factor?
Hello, I am trying to write some unit tests to my new Automatic matrix code and I think I bumped into a bug in scipy.linalg.lu_factor. If you give a matrix to it, it doesn't honor the overwrite_a option: In [1]:import numpy as num In [2]:M = num.mat(num.random.rand(2,2)) In [3]:print M [[ 0.33267781 0.2100424 ] [ 0.61852696 0.32244386]] In [4]:import scipy.linalg as la In [5]:LU, P = la.lu_factor(M, overwrite_a=0); print M [[ 0.33267781 0.63136882] [ 0.61852696 -0.06807478]] In [6]:LU, P = la.lu_factor(M, overwrite_a=0); print M [[ 0.63136882 0.52691517] [-0.06807478 0.6543966 ]] As you can see the matrix is changed by calling the function. can anyone confirm this? I am running numpy 1.0.1 and scipy 0.5.2. Best, Paulo ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] A bug in scipy.linalg.lu_factor?
On Thu, 25 Jan 2007 16:06:23 -0200 Paulo J. S. Silva [EMAIL PROTECTED] wrote: Hello, I am trying to write some unit tests to my new Automatic matrix code and I think I bumped into a bug in scipy.linalg.lu_factor. If you give a matrix to it, it doesn't honor the overwrite_a option: In [1]:import numpy as num In [2]:M = num.mat(num.random.rand(2,2)) In [3]:print M [[ 0.33267781 0.2100424 ] [ 0.61852696 0.32244386]] In [4]:import scipy.linalg as la In [5]:LU, P = la.lu_factor(M, overwrite_a=0); print M [[ 0.33267781 0.63136882] [ 0.61852696 -0.06807478]] In [6]:LU, P = la.lu_factor(M, overwrite_a=0); print M [[ 0.63136882 0.52691517] [-0.06807478 0.6543966 ]] As you can see the matrix is changed by calling the function. can anyone confirm this? I am running numpy 1.0.1 and scipy 0.5.2. Best, Paulo Hi Paulo, I can confirm this bug. 1.0.2.dev3511 0.5.3.dev2560 Nils ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] A bug in scipy.linalg.lu_factor?
Em Qui, 2007-01-25 às 19:46 +0100, Nils Wagner escreveu: It works if you use M=num.random.rand(2,2) Nils Yes, it works for arrays but not for matrices. I thought that scipy.linalg functions were supposed to work with matrices. Paulo ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] A bug in scipy.linalg.lu_factor?
On Thu, 25 Jan 2007 16:56:54 -0200 Paulo J. S. Silva [EMAIL PROTECTED] wrote: Em Qui, 2007-01-25 às 19:46 +0100, Nils Wagner escreveu: It works if you use M=num.random.rand(2,2) Nils Yes, it works for arrays but not for matrices. I thought that scipy.linalg functions were supposed to work with matrices. Paulo ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion linalg.solve works with matrix input In [1]: import numpy as num In [2]: import scipy.linalg as la In [3]: M = num.mat(num.random.rand(2,2)) In [4]: b = num.random.rand(2) In [5]: x = la.solve(M,b) In [6]: print M*x [[ 0.29508067 0.17152755]] In [7]: b Out[7]: array([ 0.29508067, 0.17152755]) Nils ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
