Hi,
I think the best way to solve this issue to not use a state at all. It is
fast, reproducible even in parallel (if wanted), and doesn't suffer from
the shared issue. Would be nice if numpy provided such a stateless RNG as
implemented in Random123: www.deshawresearch.com/resources_random123.html
Hi,
I would like to create a ndarray view on an array of ctypes.Structure.
(reason: see below).
The problem is that the structure size is not falling on an alignment
boundary and thus the size is bigger than its parts.
A sample showing the problem:
import numpy as N
from ctypes import *
class C
Hi,
I would like to create a ndarray view on an array of ctypes.Structure.
(reason: see below).
The problem is that the structure size is not falling on an alignment
boundary and thus the size is bigger than its parts.
A sample showing the problem:
import numpy as N
from ctypes import *
class C
