On Tue, May 24, 2016 at 2:33 PM, R Schumacher <r...@blue-cove.com> wrote:
> At 01:15 PM 5/24/2016, you wrote:
>
> On 5/24/2016 3:57 PM, Eric Moore wrote:
>
> Changing np.arange(10)**3 to have a non-integer dtype seems like a big
> change.
>
>
>
> What about np.arange(100)**5?
>
>
> Interesting, one warning per instantiation (Py2.7):
>
> >>> import numpy
> >>> a=numpy.arange(100)**5
> <string>:1: RuntimeWarning: invalid value encountered in power
> >>> a=numpy.arange(100)**5.
> >>> b=numpy.arange(100.)**5
> >>> a==b
> array([ True, True, True, True, True, True, True, True, True,
> True, True, True, True, True, True, True, True, True,
> True, True, True, True, True, True, True, True, True,
> True, True, True, True, True, True, True, True, True,
> True, True, True, True, True, True, True, True, True,
> True, True, True, True, True, True, True, True, True,
> True, True, True, True, True, True, True, True, True,
> True, True, True, True, True, True, True, True, True,
> True, True, True, True, True, True, True, True, True,
> True, True, True, True, True, True, True, True, True,
> True, True, True, True, True, True, True, True, True,
> True], dtype=bool)
> >>> numpy.arange(100)**5
> array([ 0, 1, 32, 243, 1024,
> 3125, 7776, 16807, 32768, 59049,
> 100000, 161051, 248832, 371293, 537824,
> 759375, 1048576, 1419857, 1889568, 2476099,
> 3200000, 4084101, 5153632, 6436343, 7962624,
> 9765625, 11881376, 14348907, 17210368, 20511149,
> 24300000, 28629151, 33554432, 39135393, 45435424,
> 52521875, 60466176, 69343957, 79235168, 90224199,
> 102400000, 115856201, 130691232, 147008443, 164916224,
> 184528125, 205962976, 229345007, 254803968, 282475249,
> 312500000, 345025251, 380204032, 418195493, 459165024,
> 503284375, 550731776, 601692057, 656356768, 714924299,
> 777600000, 844596301, 916132832, 992436543, 1073741824,
> 1160290625, 1252332576, 1350125107, 1453933568, 1564031349,
> 1680700000, 1804229351, 1934917632, 2073071593, -2147483648,
> -2147483648, -2147483648, -2147483648, -2147483648, -2147483648,
> -2147483648, -2147483648, -2147483648, -2147483648, -2147483648,
> -2147483648, -2147483648, -2147483648, -2147483648, -2147483648,
> -2147483648, -2147483648, -2147483648, -2147483648, -2147483648,
> -2147483648, -2147483648, -2147483648, -2147483648, -2147483648])
> >>>
> >>> numpy.arange(100, dtype=numpy.int64)**5
> array([ 0, 1, 32, 243, 1024,
> 3125, 7776, 16807, 32768, 59049,
> 100000, 161051, 248832, 371293, 537824,
> 759375, 1048576, 1419857, 1889568, 2476099,
> 3200000, 4084101, 5153632, 6436343, 7962624,
> 9765625, 11881376, 14348907, 17210368, 20511149,
> 24300000, 28629151, 33554432, 39135393, 45435424,
> 52521875, 60466176, 69343957, 79235168, 90224199,
> 102400000, 115856201, 130691232, 147008443, 164916224,
> 184528125, 205962976, 229345007, 254803968, 282475249,
> 312500000, 345025251, 380204032, 418195493, 459165024,
> 503284375, 550731776, 601692057, 656356768, 714924299,
> 777600000, 844596301, 916132832, 992436543, 1073741824,
> 1160290625, 1252332576, 1350125107, 1453933568, 1564031349,
> 1680700000, 1804229351, 1934917632, 2073071593, 2219006624,
> 2373046875, 2535525376, 2706784157, 2887174368, 3077056399,
> 3276800000, 3486784401, 3707398432, 3939040643, 4182119424,
> 4437053125, 4704270176, 4984209207, 5277319168, 5584059449,
> 5904900000, 6240321451, 6590815232, 6956883693, 7339040224,
> 7737809375, 8153726976, 8587340257, 9039207968, 9509900499],
> dtype=int64)
>
That is the Python default. To always see warnings do
`warnings.simplefilter('always')` before running.
Chuck
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