The input list can be more than 1 million numbers. When I run the following code with smaller 'repeats', its fine;
def sample(x):
length = 1000000
new_array = random.sample((list(x)),length)
return (new_array)
def repeat_sample(x):
i = 0
repeats = 100
list_of_samples = []
for i in range(repeats):
list_of_samples.append(sample(x))
return(list_of_samples)
repeat_sample(large_array)
However, using high repeats such as the 100 above, results in MemoryError. Traceback is as follows;
Traceback (most recent call last):
File "C:\Python31\rnd.py", line 221, in <module>
STORED_REPEAT_SAMPLE = repeat_sample(STORED_ARRAY)
File "C:\Python31\rnd.py", line 129, in repeat_sample
list_of_samples.append(sample(x))
File "C:\Python31\rnd.py", line 121, in sample
new_array = random.sample((list(x)),length)
File "C:\Python31\lib\random.py", line 309, in sample
result = [None] * k
MemoryError
I am assuming I'm running out of memory. I do not know how to get around this problem.
Thank you for your time!
