[NumPy-Tickets] [NumPy] #1485: free(): invalid next size (fast): error on Ubuntu 9.10 and 10.04 (was: free(): invalid next size (fast): error on Ubuntu 9.10)

NumPy Trac numpy-tickets@scipy....
Tue Aug 17 13:04:00 CDT 2010


#1485: free(): invalid next size (fast): error on Ubuntu 9.10 and 10.04
-------------------------------+--------------------------------------------
 Reporter:  FarMcKon           |       Owner:  somebody   
     Type:  defect             |      Status:  new        
 Priority:  high               |   Milestone:  Unscheduled
Component:  Other              |     Version:  1.4.0      
 Keywords:  glibc numpy error  |  
-------------------------------+--------------------------------------------
Changes (by michaeldhealy):

  * priority:  normal => high
  * status:  needs_info => new
  * version:  1.4.0rc1 => 1.4.0


Comment:

 Python Version:2.6.5
 Numpy Version: 1.4.1
 System: Ubuntu 10.04

 I receive this error consistently:

 >>> import numpy as np
 >>> np.arange(10)
 array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
 >>> np.arange(2, 10, dtype=np.float)
 *** glibc detected *** python: free(): invalid next size (fast):
 0x0000000002254240 ***

 >>> import numpy as np
 >>> np.arange(2, 3, 0.1)
 *** glibc detected *** python: free(): invalid next size (fast):
 0x0000000001f53d40 ***

 >>> import numpy
 >>> numpy.test(verbose=2)
 Running unit tests for numpy
 NumPy version 1.4.1
 NumPy is installed in /usr/local/lib/python2.6/dist-
 packages/numpy-1.4.1-py2.6-linux-x86_64.egg/numpy
 Python version 2.6.5 (r265:79063, Apr 16 2010, 13:57:41) [GCC 4.4.3]
 nose version 0.11.1

 ----------------------------------------------------------------------
 Ran 0 tests in 0.021s

 OK
 <nose.result.TextTestResult run=0 errors=0 failures=0>
 >>> numpy.linspace(1., 4., 6)
 *** glibc detected *** python: free(): invalid next size (fast):
 0x0000000002dfda90 ***

 >>> import numpy
 >>> x = numpy.array([2,3,1,0])
 >>> x
 array([2, 3, 1, 0])

-- 
Ticket URL: <http://projects.scipy.org/numpy/ticket/1485#comment:2>
NumPy <http://projects.scipy.org/numpy>
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