runtime-error

import math import os class collection: col = [[0 for col in range(5)] for row in range(6)] dist = [[0 for col in range(6)] for row in range(6)] filename = "" result = "" def __init__(self,arg1): self.filename = arg1 def coll(self): for i in range(6): try: if(i==0): f = open(self.filename,'r') elif(i==1): f = open("chap1.txt",'r') elif(i==2): f = open("chap2.txt",'r') elif(i==3): f = open("chap3.txt",'r') elif(i==4): f = open("chap4.txt",'r') elif(i==5): f = open("chap5.txt",'r') for j in range(5): self.result = f.readline() self.col[i][j] = self.result finally: print "file handling error" def

I am confused about using freeze_support() for multiprocessing and I get an Runtime Error without it. I am only running a script, not defining a function or a module. Can I still use it? Or the packages I import should have been using it? Here is the documentation. Note that the specific issue is about scikit-learn calling GridSearchCV which tries to spawn processes in parallel. I am not sure if my script needs to be frozen for this, or the some code that's called (from the Anaconda distro). If details are relevant to this question, please head over to the more specific question . On Windows

Should one check after each malloc() if it was successful? Is it at all possible that a malloc() fails? What happens then? At school we were told that we should check, ie.: arr = (int) malloc(sizeof(int)*x*y); if(arr==NULL){ printf("Error. Allocation was unsuccessful. \n"); return 1; } What is the practice regarding this? Can I do it this way: if(!(arr = (int) malloc(sizeof(int)*x*y)) <error> Gopi No need to cast malloc() . Yes it is required to check whether the malloc() was successful or not. Let's say malloc() failed and you are trying to access the pointer thinking memory is allocated will