Hi,
On Tue, Nov 1, 2011 at 8:39 AM, Chris.Barker wrote:
> On 10/31/11 6:38 PM, Stéfan van der Walt wrote:
>> On Mon, Oct 31, 2011 at 6:25 PM, Matthew Brett
>> wrote:
>>> Oh, dear, I'm suffering now:
>
>>> In [12]: res> 2**31-1
>>> Out[12]: array([False], dtype=bool)
>
>> I'm seeing:
> ...
>
>>
On 10/31/11 6:38 PM, Stéfan van der Walt wrote:
> On Mon, Oct 31, 2011 at 6:25 PM, Matthew Brett
> wrote:
>> Oh, dear, I'm suffering now:
>> In [12]: res> 2**31-1
>> Out[12]: array([False], dtype=bool)
> I'm seeing:
...
> Your result seems very strange, because the numpy scalars should
> perf
On Mon, Oct 31, 2011 at 6:25 PM, Matthew Brett wrote:
> Oh, dear, I'm suffering now:
>
> In [11]: res = np.array((2**31,), dtype=np.float32)
>
> In [12]: res > 2**31-1
> Out[12]: array([False], dtype=bool)
>
> OK - that's what I was expecting from the above, but now:
>
> In [13]: res[0] > 2**31-1
Hi,
2011/10/31 Stéfan van der Walt :
> On Mon, Oct 31, 2011 at 11:23 AM, Matthew Brett
> wrote:
>> In [8]: np.float(2**63) == 2**63
>> Out[8]: True
>>
>> In [9]: np.float(2**63) > 2**63-1
>> Out[9]: True
>>
>> In [10]: np.float64(2**63) == 2**63
>> Out[10]: True
>>
>> In [11]: np.float64(2**63)
On Mon, Oct 31, 2011 at 11:23 AM, Matthew Brett wrote:
> In [8]: np.float(2**63) == 2**63
> Out[8]: True
>
> In [9]: np.float(2**63) > 2**63-1
> Out[9]: True
>
> In [10]: np.float64(2**63) == 2**63
> Out[10]: True
>
> In [11]: np.float64(2**63) > 2**63-1
> Out[11]: False
>
> In [16]: np.float64(2*
Hi,
I just ran into this confusing difference between np.float and np.float64:
In [8]: np.float(2**63) == 2**63
Out[8]: True
In [9]: np.float(2**63) > 2**63-1
Out[9]: True
In [10]: np.float64(2**63) == 2**63
Out[10]: True
In [11]: np.float64(2**63) > 2**63-1
Out[11]: False
In [16]: np.float64
