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

[Keith Goodman]

On Fri, Nov 19, 2010 at 7:42 PM, Keith Goodman <kwgoodman at 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