[Numpy-discussion] Negative values with unsigned data types problems

[Francesc A. <fa...@ca...>]

Hi,

I'm writing this here because the numpy Trac seems down:

{{{
Oops...

Trac detected an internal error: The Trac Environment needs to be upgraded.=
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Run trac-admin /home/scipy/trac/numpy upgrade"
}}}

Well, it seems that there are inconsistencies on creating arrays coming fro=
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negative values using unsigned integers:

In [41]: numpy.asarray([-1], dtype=3D'uint8')
Out[41]: array([255], dtype=3Duint8)

In [42]: numpy.asarray([-1], dtype=3D'uint16')
Out[42]: array([65535], dtype=3Duint16)

until here it's fine, but:

In [43]: numpy.asarray([-1], dtype=3D'uint32')
=2D------------------------------------------------------------------------=
=2D-
<type 'exceptions.TypeError'>             Traceback (most recent call last)

/home/faltet/python.nobackup/numpy/<ipython console> in <module>()

/usr/local/lib/python2.5/site-packages/numpy/core/numeric.py in asarray(a,=
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dtype, order)
    129     are converted to base class ndarray.
    130     """
=2D-> 131     return array(a, dtype, copy=3DFalse, order=3Dorder)
    132
    133 def asanyarray(a, dtype=3DNone, order=3DNone):

<type 'exceptions.TypeError'>: long() argument must be a string or a number=
,=20
not 'list'

and the same happens with 'uint64'.

My numpy version is 1.0.dev3216

Regards,

=2D-=20
>0,0<   Francesc Altet =A0 =A0 http://www.carabos.com/
V   V   C=E1rabos Coop. V. =A0=A0Enjoy Data
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