[NumPy-Tickets] [NumPy] #1479: test_universal_newline has string bug in python 3.1
NumPy Trac
numpy-tickets@scipy....
Sat May 8 11:36:39 CDT 2010
#1479: test_universal_newline has string bug in python 3.1
------------------------+---------------------------------------------------
Reporter: charris | Owner: somebody
Type: defect | Status: closed
Priority: normal | Milestone: 2.0.0
Component: numpy.lib | Version:
Resolution: fixed | Keywords:
------------------------+---------------------------------------------------
Changes (by pv):
* status: new => closed
* resolution: => fixed
* component: Other => numpy.lib
Old description:
> {{{
> ERROR: test_universal_newline (test_io.TestLoadTxt)
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File "/usr/local/lib/python3.1/site-
> packages/numpy/lib/tests/test_io.py", line 412, in test_universal_newline
> data = np.loadtxt(name)
> File "/usr/local/lib/python3.1/site-packages/numpy/lib/npyio.py", line
> 632, in loadtxt
> first_vals = split_line(first_line)
> File "/usr/local/lib/python3.1/site-packages/numpy/lib/npyio.py", line
> 610, in split_line
> line = line.split(comments)[0].strip()
> TypeError: Can't convert 'bytes' object to str implicitly
>
> }}}
New description:
{{{
ERROR: test_universal_newline (test_io.TestLoadTxt)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/local/lib/python3.1/site-
packages/numpy/lib/tests/test_io.py", line 412, in test_universal_newline
data = np.loadtxt(name)
File "/usr/local/lib/python3.1/site-packages/numpy/lib/npyio.py", line
632, in loadtxt
first_vals = split_line(first_line)
File "/usr/local/lib/python3.1/site-packages/numpy/lib/npyio.py", line
610, in split_line
line = line.split(comments)[0].strip()
TypeError: Can't convert 'bytes' object to str implicitly
}}}
--
Comment:
Should be fixed in r8395
--
Ticket URL: <http://projects.scipy.org/numpy/ticket/1479#comment:1>
NumPy <http://projects.scipy.org/numpy>
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