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Message #15291
Re: [Bug 427047] Re: Vector indexing in Python with NumPy indices
On Thu, Sep 10, 2009 at 11:29:37AM -0000, Johan Hake wrote:
> Should be fixed now.
>
> The following types should now work
>
> [int,int0,int16,int32,int64,uint,uint0,uint16,uint32,uint64]
>
> Added a test in test/unit/la/python for this.
>
> Again long does not work. Not sure if we need that.
>
> If no complains, I will soon close this one.
Still breaks for me:
from dolfin import Vector
from numpy import zeros
x = Vector(10)
i = zeros(10, "I")
x[i[0]] = 1.0
in __setitem__(self, indices, values)
3802 raise TypeError, "provide a scalar,
GenericVector or numpy array of float to set items in Vector"
3803 else:
-> 3804 raise TypeError, "index must be an int, slice or a
list or numpy array of integers"
3805
3806 def __len__(self):
TypeError: index must be an int, slice or a list or numpy array of
integers
--
Anders
--
Vector indexing in Python with NumPy indices
https://bugs.launchpad.net/bugs/427047
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Status in DOLFIN: New
Bug description:
The following breaks:
import dolfin, numpy
x = Vector(10)
print x[numpy.int32(0)]
print x[numpy.int64(0)]
print x[numpy.array((0, 1), dtype='I')
The typechecks in la_post.i looks like they can be expanded. (I tried it myself but couldn't get it working correctly.)
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