# [Numpy-discussion] [ANN] Nanny, faster NaN functions

Keith Goodman kwgoodman@gmail....
Sat Nov 20 17:39:59 CST 2010

```On Fri, Nov 19, 2010 at 7:42 PM, Keith Goodman <kwgoodman@gmail.com> wrote:
> I should make a benchmark suite.

>> ny.benchit(verbose=False)
Nanny performance benchmark
Nanny 0.0.1dev
Numpy 1.4.1
Speed is numpy time divided by nanny time
NaN means all NaNs
Speed   Test                Shape        dtype    NaN?
6.6770  nansum(a, axis=-1)  (500,500)    int64
4.6612  nansum(a, axis=-1)  (10000,)     float64
9.0351  nansum(a, axis=-1)  (500,500)    int32
3.0746  nansum(a, axis=-1)  (500,500)    float64
11.5740  nansum(a, axis=-1)  (10000,)     int32
6.4484  nansum(a, axis=-1)  (10000,)     int64
51.3917  nansum(a, axis=-1)  (500,500)    float64  NaN
13.8692  nansum(a, axis=-1)  (10000,)     float64  NaN
6.5327  nanmax(a, axis=-1)  (500,500)    int64
8.8222  nanmax(a, axis=-1)  (10000,)     float64
0.2059  nanmax(a, axis=-1)  (500,500)    int32
6.9262  nanmax(a, axis=-1)  (500,500)    float64
5.0688  nanmax(a, axis=-1)  (10000,)     int32
6.5605  nanmax(a, axis=-1)  (10000,)     int64
48.4850  nanmax(a, axis=-1)  (500,500)    float64  NaN
14.6289  nanmax(a, axis=-1)  (10000,)     float64  NaN

You can also use the makefile to run the benchmark: make bench
```

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