Updated benchmark with recent dependency versions

Author: ml31415

README.md

@@ -192,41 +192,41 @@ The benchmarking results are given in ms for an i7-7560U running at 2.40GHz:
 ```text
 function         ufunc         numpy         numba         weave
 -----------------------------------------------------------------
-sum              29.738         1.454         0.901         1.176
-prod             29.552        29.575         0.905         1.162
-amin             29.944        29.850         0.979         1.169
-amax             29.943        29.956         1.009         1.201
-len              28.865         1.250         0.748         1.053
-all              34.013         3.962         0.995         1.195
-any              32.913         6.690         1.023         1.189
-anynan           28.956         2.551         0.961         1.210
-allnan           29.966         5.943         0.924         1.204
-mean               ----         2.302         0.843         1.030
-std                ----         5.587         1.015         1.210
-var                ----         5.635         1.004         1.205
-first              ----         1.586         0.977         0.994
-last               ----         1.335         0.665         0.887
-argmax             ----        29.734         0.903          ----
-argmin             ----        33.152         0.868          ----
-nansum             ----         4.576         1.633         1.176
-nanprod            ----        26.832         1.618         1.186
-nanmin             ----        27.198         1.852         1.211
-nanmax             ----        27.194         1.786         1.252
-nanlen             ----         4.602         1.611         1.948
-nanall             ----         8.512         1.706         1.237
-nanany             ----         9.492         1.719         1.245
-nanmean            ----         5.089         1.669         1.282
-nanvar             ----         8.783         1.815         1.485
-nanstd             ----         8.771         1.805         1.482
-nanfirst           ----         4.899         1.851         1.095
-nanlast            ----         4.834         1.625         1.051
-cumsum             ----       132.572         1.161          ----
-cumprod            ----          ----         1.179          ----
-cummax             ----          ----         1.146          ----
-cummin             ----          ----         1.114          ----
-arbitrary          ----       217.585        72.019          ----
-sort               ----       237.604          ----          ----
-Linux(x86_64), Python 2.7.12, Numpy 1.15.2, Numba 0.40.1
+sum              28.763         1.477         0.917         1.167
+prod             29.165        29.162         0.919         1.170
+amin             33.020        33.134         0.979         1.181
+amax             33.150        33.156         1.049         1.216
+len              28.594         1.260         0.755         1.023
+all              33.493         3.883         0.995         1.214
+any              33.308         6.776         1.003         1.216
+anynan           28.938         2.472         0.930         1.182
+allnan           29.391         5.929         0.931         1.201
+mean               ----         2.100         0.972         1.216
+std                ----         6.600         1.127         1.370
+var                ----         6.684         1.109         1.388
+first              ----         2.140         1.067         1.188
+last               ----         1.545         0.818         1.086
+argmax             ----        33.860         1.016          ----
+argmin             ----        36.690         0.981          ----
+nansum             ----         4.944         1.722         1.342
+nanprod            ----        27.286         1.726         1.369
+nanmin             ----        30.238         1.895         1.359
+nanmax             ----        30.337         1.939         1.446
+nanlen             ----         4.820         1.707         1.312
+nanall             ----         9.148         1.786         1.380
+nanany             ----        10.157         1.830         1.392
+nanmean            ----         5.775         1.758         1.440
+nanvar             ----        10.090         1.922         1.651
+nanstd             ----        10.308         1.884         1.664
+nanfirst           ----         5.481         1.945         1.295
+nanlast            ----         4.992         1.735         1.199
+cumsum             ----       144.807         1.455          ----
+cumprod            ----          ----         1.371          ----
+cummax             ----          ----         1.441          ----
+cummin             ----          ----         1.340          ----
+arbitrary          ----       237.252        79.717          ----
+sort               ----       261.951          ----          ----
+Linux(x86_64), Python 2.7.12, Numpy 1.16.0, Numba 0.42.0, Weave 0.17.0
 
 ```
 

numpy_groupies/benchmarks/generic.py

@@ -85,6 +85,9 @@ def benchmark(implementations, size=5e5, repeat=5, seed=100):
     if 'numba' in implementation_names:
         import numba
         postfix += ', Numba %s' % numba.__version__
+    if 'weave' in implementation_names:
+        import weave
+        postfix += ', Weave %s' % weave.__version__
     if 'pandas' in implementation_names:
         import pandas
         postfix += ', Pandas %s' % pandas.__version__