numpy results in segmentation fault

[Pradeep Patra]

Yes it is crashing in the hackerrank site and the testcases fails with
segmentation fault. I tried to install numpy with 3.7.3 and it is for some
reason not working and after import when I run import numpy at python
console and press enter I get >>? i,e its not working properly.

Can you please help letting me know the python and numpy compatibility
matrix or I am missing anything?

I tried some of the numpy code from the other github and it also fails with
the segmentation fault :-(. I am guessing some numpy version compatility
issue or some environment issue.

On Thu, Sep 12, 2019 at 8:00 PM Thomas Jollans <tjol at tjol.eu> wrote:

> On 12/09/2019 15.53, Pradeep Patra wrote:
> > Hi ,
> >
> > I was trying to solve the hackerrank and was using python 3.7.x.
> > https://www.hackerrank.com/challenges/np-concatenate/problem
> >
> > While running the code sometimes I get success result and sometimes it
> > fails with "Segmentation Fault" at Hacker rank UI. I dont have any clue
> why
> > the code is crashing ? Does anyone have any idea?
>
>
> Are you sure it's your code that's crashing, and not something beyond
> your control? (Such as the software that is starting Python for you)
> Does it depend on the input? Can you reproduce the issue in a controlled
> environment (i.e. on your own PC)?
>
>
> >
> > Regards
> > Pradeep
> >
> > import numpy
> >
> > n,m,p = map(int,input().split())
> > tgt_arr1 = []
> > for i in range(n):
> >     row = list(map(int,input().split()))
> >     tgt_arr1.append(row)
> > tgt_arr2 = []
> > for j in range(m):
> >     row = list(map(int,input().split()))
> >     tgt_arr2.append(row)
> >
> > num_arr1 = numpy.array(tgt_arr1,int)
> > num_arr2 = numpy.array(tgt_arr2,int)
> >
> > print(numpy.concatenate((num_arr1,num_arr2),axis=0))
>
>
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