[Scipy-tickets] [SciPy] #1755: bisplrep segmentation fault (core dumped)

SciPy Trac scipy-tickets@scipy....
Fri Oct 26 11:51:00 CDT 2012


#1755: bisplrep segmentation fault (core dumped)
--------------------+-------------------------------------------------------
 Reporter:  jose    |       Owner:  somebody   
     Type:  defect  |      Status:  new        
 Priority:  normal  |   Milestone:  Unscheduled
Component:  Other   |     Version:  0.11.0     
 Keywords:          |  
--------------------+-------------------------------------------------------
 I've isolated the problem to a single case. Here is the code:


 {{{
 import numpy as np
 from scipy import interpolate

 P = np.array([[-0.32617197, -0.2920095 , -0.46557174, -0.81794844,
 -1.29219631,-1.81947447, -2.32841281, -2.75178671, -3.03194729,
 -3.12576901,-3.00960991, -2.6846482 , -2.18283861, -1.57343334,
 -0.96880183,-0.52132021],[ 0.26979365,  0.21207852, -0.04285966,
 -0.44843864, -0.93769524,-1.43878605, -1.88334371, -2.21217161,
 -2.37976096, -2.35832431,-2.14170154, -1.74925879, -1.22957792,
 -0.66299164, -0.15978676,0.15787639],[ 0.88005791,  0.75688371,
 0.45630493,  0.03749351, -0.42869796,-0.87313496, -1.2350965 ,
 -1.46659168, -1.53565157, -1.42914945,-1.15533001, -0.74592665,
 -0.25731003,  0.230784  If I run this code, get a segmentation fault...
 why?!,  0.62261907,0.83078598],[ 1.43941451,  1.27684403,  0.96136466,
 0.55966746,  0.14141966,-0.23103704, -0.50731149, -0.65168608,
 -0.64504881, -0.48640796,-0.19400188,  0.19429156,  0.62197232,  1.017876
 ,  1.30628307,1.4313914 ],[ 1.88963563,  1.71157922,  1.40653829,
 1.04395233,  0.68826473,0.39234334,  0.19511948,  0.12049842,  0.17675042,
 0.35620331,0.63536282,  0.97584839,  1.32687424,  1.6305647 ,
 1.83245472,1.90239222],[ 2.18411701,  2.01162102,  1.73714652,
 1.42853859,  1.14195763,0.91932419,  0.78821399,  0.76227809,  0.84176998,
 1.01419604,1.25532094,  1.53093814,  1.80003031,  2.02024623,
 2.15707825,2.19902306],[ 2.29104308,  2.1421795 ,  1.91361664,
 1.66775429,  1.4503379 ,1.29192654,  1.20984338,  1.20983398,  1.28741951,
 1.4291507 ,1.61406933,  1.8157611 ,  2.00546122,  2.15673162,
 2.25214955,2.29158209],[ 2.19592259,  2.08585339,  1.91410389,
 1.73433293,  1.58065059,1.47280881,  1.41982043,  1.4224534 ,  1.47500701,
 1.56675335,1.68339946,  1.80889599,  1.9278646 ,  2.02875986,
 2.10734416,2.16766927],[ 1.90364107,  1.84456778,  1.73613883,
 1.62063181,  1.52025046,1.44542853,  1.39954856,  1.38175761,  1.38870078,
 1.41571194,1.45783921,  1.51095031,  1.57299489,  1.64516681,
 1.73180054,1.83422428],[ 1.44006075,  1.44084294,  1.39747465,
 1.33903092,  1.27658655,1.2136941 ,  1.1514551 ,  1.09105368,  1.03495315,
 0.98741407,0.95470048,  0.94511938,  0.96877897,  1.03648204,
 1.15598539,1.31935859],[ 0.85310219,  0.91835379,  0.93613205,  0.9215548
 ,  0.8765544 ,0.80122736,  0.69834088,  0.57492521,  0.44245456,
 0.31632919,0.21496974,  0.15854801,  0.16705806,  0.25687478,
 0.43359029,0.67392233],[ 0.21307688,  0.34155231,  0.40945286,
 0.41859933,  0.36519017,0.25030719,  0.08279525, -0.1207412 , -0.33717397,
 -0.53865813,-0.69481594, -0.77541611, -0.75400979, -0.61357493,
 -0.35663432,-0.02737189],[-0.38828494, -0.20618069, -0.10828106,
 -0.10352304, -0.1963743 ,-0.37937371, -0.63300958, -0.92785655,
 -1.22745851, -1.49150626,-1.67930326, -1.75379581, -1.686765  ,
 -1.46634547, -1.10937656,-0.68572898],[-0.84138209, -0.62697398,
 -0.53053551, -0.56670839, -0.73371373,-1.01170006, -1.36634378,
 -1.75332884, -2.12281348, -2.42382663,-2.60882774, -2.63885557,
 -2.48994855, -2.16200449, -1.69237297,-1.18012379],[-1.02796263,
 -0.81797582, -0.76730311, -0.88757639, -1.16219484,-1.55335615, -2.0095011
 , -2.47170348, -2.87925404, -3.17486091,-3.30992002, -3.2503765 ,
 -2.98386161, -2.52913175, -1.94957254,-1.37448646],[-0.8453655 ,
 -0.69344726, -0.74272994, -0.98708156, -1.38715991,-1.88505859,
 -2.41377971, -2.90431974, -3.29154662, -3.51958352,-3.54724604,
 -3.35404368, -2.94730867, -2.3711353 , -1.71790821,-1.14235009]])
 xnew = np.array([[ 0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,
 0. ,  0. ,0. ,  0. ,  0. ,  0. ,  0. ],[ 0.2,  0.2,  0.2,  0.2,  0.2,
 0.2,  0.2,  0.2,  0.2,  0.2,  0.2,0.2,  0.2,  0.2,  0.2,  0.2],[ 0.4,
 0.4,  0.4,  0.4,  0.4,  0.4,  0.4,  0.4,  0.4,  0.4,  0.4,0.4,  0.4,  0.4,
 0.4,  0.4],[ 0.6,  0.6,  0.6,  0.6,  0.6,  0.6,  0.6,  0.6,  0.6,  0.6,
 0.6,0.6,  0.6,  0.6,  0.6,  0.6],[ 0.8,  0.8,  0.8,  0.8,  0.8,  0.8,
 0.8,  0.8,  0.8,  0.8,  0.8,0.8,  0.8,  0.8,  0.8,  0.8],[ 1. ,  1. ,  1.
 ,  1. ,  1. ,  1. ,  1. ,  1. ,  1. ,  1. ,  1. ,1. ,  1. ,  1. ,  1. ,
 1. ],[ 1.2,  1.2,  1.2,  1.2,  1.2,  1.2,  1.2,  1.2,  1.2,  1.2,
 1.2,1.2,  1.2,  1.2,  1.2,  1.2],[ 1.4,  1.4,  1.4,  1.4,  1.4,  1.4,
 1.4,  1.4,  1.4,  1.4,  1.4,1.4,  1.4,  1.4,  1.4,  1.4],[ 1.6,  1.6,
 1.6,  1.6,  1.6,  1.6,  1.6,  1.6,  1.6,  1.6,  1.6,1.6,  1.6,  1.6,  1.6,
 1.6],[ 1.8,  1.8,  1.8,  1.8,  1.8,  1.8,  1.8,  1.8,  1.8,  1.8,
 1.8,1.8,  1.8,  1.8,  1.8,  1.8],[ 2. ,  2. ,  2. ,  2. ,  2. ,  2. ,  2.
 ,  2. ,  2. ,  2. ,  2. ,2. ,  2. ,  2. ,  2. ,  2. ],[ 2.2,  2.2,  2.2,
 2.2,  2.2,  2.2,  2.2,  2.2,  2.2,  2.2,  2.2,2.2,  2.2,  2.2,  2.2,
 2.2],[ 2.4,  2.4,  2.4,  2.4,  2.4,  2.4,  2.4,  2.4,  2.4,  2.4,
 2.4,2.4,  2.4,  2.4,  2.4,  2.4],[ 2.6,  2.6,  2.6,  2.6,  2.6,  2.6,
 2.6,  2.6,  2.6,  2.6,  2.6,2.6,  2.6,  2.6,  2.6,  2.6],[ 2.8,  2.8,
 2.8,  2.8,  2.8,  2.8,  2.8,  2.8,  2.8,  2.8,  2.8,2.8,  2.8,  2.8,  2.8,
 2.8],[ 3. ,  3. ,  3. ,  3. ,  3. ,  3. ,  3. ,  3. ,  3. ,  3. ,  3. ,3.
 ,  3. ,  3. ,  3. ,  3. ]])
 ynew = np.array([[ 0. ,  0.2,  0.4,  0.6,  0.8,  1. ,  1.2,  1.4,  1.6,
 1.8,  2. ,2.2,  2.4,  2.6,  2.8,  3. ],[ 0. ,  0.2,  0.4,  0.6,  0.8,  1.
 ,  1.2,  1.4,  1.6,  1.8,  2. ,2.2,  2.4,  2.6,  2.8,  3. ],[ 0. ,  0.2,
 0.4,  0.6,  0.8,  1. ,  1.2,  1.4,  1.6,  1.8,  2. ,2.2,  2.4,  2.6,  2.8,
 3. ],[ 0. ,  0.2,  0.4,  0.6,  0.8,  1. ,  1.2,  1.4,  1.6,  1.8,  2.
 ,2.2,  2.4,  2.6,  2.8,  3. ],[ 0. ,  0.2,  0.4,  0.6,  0.8,  1. ,  1.2,
 1.4,  1.6,  1.8,  2. ,2.2,  2.4,  2.6,  2.8,  3. ],[ 0. ,  0.2,  0.4,
 0.6,  0.8,  1. ,  1.2,  1.4,  1.6,  1.8,  2. ,2.2,  2.4,  2.6,  2.8,  3.
 ],[ 0. ,  0.2,  0.4,  0.6,  0.8,  1. ,  1.2,  1.4,  1.6,  1.8,  2. ,2.2,
 2.4,  2.6,  2.8,  3. ],[ 0. ,  0.2,  0.4,  0.6,  0.8,  1. ,  1.2,  1.4,
 1.6,  1.8,  2. ,2.2,  2.4,  2.6,  2.8,  3. ],[ 0. ,  0.2,  0.4,  0.6,
 0.8,  1. ,  1.2,  1.4,  1.6,  1.8,  2. ,2.2,  2.4,  2.6,  2.8,  3. ],[ 0.
 ,  0.2,  0.4,  0.6,  0.8,  1. ,  1.2,  1.4,  1.6,  1.8,  2. ,2.2,  2.4,
 2.6,  2.8,  3. ],[ 0. ,  0.2,  0.4,  0.6,  0.8,  1. ,  1.2,  1.4,  1.6,
 1.8,  2. ,2.2,  2.4,  2.6,  2.8,  3. ],[ 0. ,  0.2,  0.4,  0.6,  0.8,  1.
 ,  1.2,  1.4,  1.6,  1.8,  2. ,2.2,  2.4,  2.6,  2.8,  3. ],[ 0. ,  0.2,
 0.4,  0.6,  0.8,  1. ,  1.2,  1.4,  1.6,  1.8,  2. ,2.2,  2.4,  2.6,  2.8,
 3. ],[ 0. ,  0.2,  0.4,  0.6,  0.8,  1. ,  1.2,  1.4,  1.6,  1.8,  2.
 ,2.2,  2.4,  2.6,  2.8,  3. ],[ 0. ,  0.2,  0.4,  0.6,  0.8,  1. ,  1.2,
 1.4,  1.6,  1.8,  2. ,2.2,  2.4,  2.6,  2.8,  3. ],[ 0. ,  0.2,  0.4,
 0.6,  0.8,  1. ,  1.2,  1.4,  1.6,  1.8,  2. ,2.2,  2.4,  2.6,  2.8,  3.
 ]])
 tckP=interpolate.bisplrep(xnew,ynew,P,s=0)
 }}}


 If I run this code, get a segmentation fault

-- 
Ticket URL: <http://projects.scipy.org/scipy/ticket/1755>
SciPy <http://www.scipy.org>
SciPy is open-source software for mathematics, science, and engineering.


More information about the Scipy-tickets mailing list