From: Sebastian H. <ha...@ms...> - 2006-07-17 18:45:59
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Thanks Chris, If this got fixed towards numarray version 1.5.1 it looks like it is now on both Linux and Mac different(!) from the numpy result I got on Window !! On Linux I get: >>> import numpy as N >>> N.__version__ '0.9.9.2823' >>> bbb=N.zeros((2,3,3), N.float32) >>> bbb[0,:,:]=1 >>> bbb[1,:,:]=2 >>> bbb [[[ 1. 1. 1.] [ 1. 1. 1.] [ 1. 1. 1.]] [[ 2. 2. 2.] [ 2. 2. 2.] [ 2. 2. 2.]]] >>> ccc=N.transpose(bbb,(1,0,2)) >>> d=N.array([[1,0],[0,1]]) >>> d [[1 0] [0 1]] >>> N.dot(d,ccc) Traceback (most recent call last): File "<input>", line 1, in ? TypeError: array cannot be safely cast to required type >>> dd=d.astype(N.float32) >>> N.dot(dd,ccc) [[[ 1. 1. 1.] [ 1. 1. 1.] [ 1. 1. 1.]] [[ 2. 2. 2.] [ 2. 2. 2.] [ 2. 2. 2.]]] >>> The TypeError looks like a numpy bug ! Thanks, Sebastian Haase On Monday 17 July 2006 11:29, Christopher Barker wrote: > And on my Mac: > > OS-X 10.4.*, PPC, universal python 2.4.3: > >>> import numarray as na > >>> na.__version__ > > '1.5.1' > > >>> bbb=na.zeros((2,3,3), na.Float32) > >>> bbb[0,:,:]=1 > >>> bbb[1,:,:]=2 > >>> ccc=na.transpose(bbb,(1,0,2)) > >>> d=na.array([[1,0],[0,1]]) > >>> na.dot(d,ccc) > > array([[[ 1., 1., 1.], > [ 2., 2., 2.], > [ 1., 1., 1.]], > > [[ 2., 2., 2.], > [ 1., 1., 1.], > [ 2., 2., 2.]]], type=Float32) |