Reputation: 26515
math.ldexp(0.5, 1025)
results in OverflowError
. Numpy's equivalent function returns inf
. On the other end, however, math.ldexp(0.5, -1074)
does not raise an exception, but rather returns 0.0
, as illustrated below:
In [275]: math.ldexp(0.5, 1024)
Out[275]: 8.98846567431158e+307
In [276]: math.ldexp(0.5, 1025)
---------------------------------------------------------------------------
OverflowError Traceback (most recent call last)
<ipython-input-276-ce1573e0249b> in <module>()
----> 1 math.ldexp(0.5, 1025)
OverflowError: math range error
In [277]: math.ldexp(0.5, -1073)
Out[277]: 5e-324
In [278]: math.ldexp(0.5, -1074)
Out[278]: 0.0
Why does Python raiso an OverflowError
when the exponent is too large, but not when it is too small? Is there a valid reason, or should this be considered a bug?
Upvotes: 0
Views: 53
Reputation: 7574
IEEE floating point arithmetic is known to have some degree of imprecision. 0.0 is a value which is very close to math.ldexp(0.5, -1074)
. However, there is no valid way of expressing a value that is close to math.ldexp(0.5, 1025)
, so I would assume that's why it raises an Exception.
Upvotes: 3