Thomas Robitaille skrev:
> np.random.random_integers(np.iinfo(np.int32).min,high=np.iinfo
> (np.int32).max,size=10)
>
> which gives
>
> array([-1506183689, 662982379, -1616890435, -1519456789, 1489753527,
> -604311122, 2034533014, 449680073, -444302414,
> -1924170329])
>
>
This fails on my computer (Python 2.6.4, NumPy 1.3.0 on Win32).
>>> np.random.random_integers(np.iinfo(np.int32).min,high=np.iinfo
(np.int32).max,size=10)
Traceback (most recent call last):
File "<pyshell#33>", line 2, in <module>
(np.int32).max,size=10)
File "mtrand.pyx", line 950, in mtrand.RandomState.random_integers
File "mtrand.pyx", line 746, in mtrand.RandomState.randint
OverflowError: long int too large to convert to int
It might have something to do with this:
>>> 2**31-1
2147483647L
>>> -2**31
-2147483648L
In light of this annoying behaviour:
def random_int64(size):
a0 = np.random.random_integers(0, 0xFFFF, size=size).astype(np.uint64)
a1 = np.random.random_integers(0, 0xFFFF, size=size).astype(np.uint64)
a2 = np.random.random_integers(0, 0xFFFF, size=size).astype(np.uint64)
a3 = np.random.random_integers(0, 0xFFFF, size=size).astype(np.uint64)
a = a0 + (a1<<16) + (a2 << 32) + (a3 << 48)
return a.view(dtype=np.int64)
Sturla
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