Python version:    2.5 (r25:51908, Nov  3 2006, 12:01:01) 
[GCC 4.0.2 20050901 (prerelease) (SUSE Linux)]
NumPy version:     1.0.3
******************* Expression: i2 > 0
numpy: 0.00318
numpy strided: 0.00695
numpy unaligned: 0.01249
numexpr: 0.02332 Speed-up of numexpr over numpy: 0.1364
numexpr strided: 0.02728 Speed-up of numexpr strided over numpy: 0.2548
numexpr unaligned: 0.02604 Speed-up of numexpr unaligned over numpy: 0.4796
******************* Expression: i2 < 0
numpy: 0.00309
numpy strided: 0.00698
numpy unaligned: 0.01153
numexpr: 0.02358 Speed-up of numexpr over numpy: 0.131
numexpr strided: 0.02708 Speed-up of numexpr strided over numpy: 0.2578
numexpr unaligned: 0.02599 Speed-up of numexpr unaligned over numpy: 0.4436
******************* Expression: i2 < f3
numpy: 0.00872
numpy strided: 0.01488
numpy unaligned: 0.02254
numexpr: 0.02757 Speed-up of numexpr over numpy: 0.3163
numexpr strided: 0.03473 Speed-up of numexpr strided over numpy: 0.4284
numexpr unaligned: 0.04398 Speed-up of numexpr unaligned over numpy: 0.5125
******************* Expression: i2-10 < f3
numpy: 0.01517
numpy strided: 0.02121
numpy unaligned: 0.0332
numexpr: 0.02946 Speed-up of numexpr over numpy: 0.5149
numexpr strided: 0.0375 Speed-up of numexpr strided over numpy: 0.5656
numexpr unaligned: 0.04521 Speed-up of numexpr unaligned over numpy: 0.7344
******************* Expression: i2*f3+f3*f3 > i2
numpy: 0.05012
numpy strided: 0.06811
numpy unaligned: 0.09033
numexpr: 0.0344 Speed-up of numexpr over numpy: 1.457
numexpr strided: 0.04196 Speed-up of numexpr strided over numpy: 1.6232
numexpr unaligned: 0.04948 Speed-up of numexpr unaligned over numpy: 1.8256
******************* Expression: 0.1*i2 > arctan2(i2, f3)
numpy: 0.13276
numpy strided: 0.14845
numpy unaligned: 0.15729
numexpr: 0.12835 Speed-up of numexpr over numpy: 1.0344
numexpr strided: 0.1368 Speed-up of numexpr strided over numpy: 1.0852
numexpr unaligned: 0.14563 Speed-up of numexpr unaligned over numpy: 1.0801
******************* Expression: i2%2 > 3
numpy: 0.03263
numpy strided: 0.03386
numpy unaligned: 0.04204
numexpr: 0.06113 Speed-up of numexpr over numpy: 0.5338
numexpr strided: 0.06615 Speed-up of numexpr strided over numpy: 0.5119
numexpr unaligned: 0.06473 Speed-up of numexpr unaligned over numpy: 0.6495
******************* Expression: i2%10 < 4
numpy: 0.0327
numpy strided: 0.03373
numpy unaligned: 0.04215
numexpr: 0.06154 Speed-up of numexpr over numpy: 0.5314
numexpr strided: 0.06539 Speed-up of numexpr strided over numpy: 0.5158
numexpr unaligned: 0.06492 Speed-up of numexpr unaligned over numpy: 0.6493
******************* Expression: i2**2 + (f3+1)**-2.5 < 3
numpy: 0.32493
numpy strided: 0.33087
numpy unaligned: 0.35109
numexpr: 0.05999 Speed-up of numexpr over numpy: 5.4164
numexpr strided: 0.06683 Speed-up of numexpr strided over numpy: 4.9509
numexpr unaligned: 0.07455 Speed-up of numexpr unaligned over numpy: 4.7095
******************* Expression: (f3+1)**50 > i2
numpy: 0.30474
numpy strided: 0.31431
numpy unaligned: 0.3192
numexpr: 0.05154 Speed-up of numexpr over numpy: 5.9127
numexpr strided: 0.06164 Speed-up of numexpr strided over numpy: 5.0991
numexpr unaligned: 0.06035 Speed-up of numexpr unaligned over numpy: 5.2891
******************* Expression: sqrt(i2**2 + f3**2) > 1
numpy: 0.06741
numpy strided: 0.07349
numpy unaligned: 0.09405
numexpr: 0.04676 Speed-up of numexpr over numpy: 1.4416
numexpr strided: 0.05361 Speed-up of numexpr strided over numpy: 1.3708
numexpr unaligned: 0.0615 Speed-up of numexpr unaligned over numpy: 1.5293
******************* Expression: (i2>2) | ((f3**2>3) & ~(i2*f3<2))
numpy: 0.05085
numpy strided: 0.06494
numpy unaligned: 0.08386
numexpr: 0.04527 Speed-up of numexpr over numpy: 1.1233
numexpr strided: 0.05323 Speed-up of numexpr strided over numpy: 1.22
numexpr unaligned: 0.06087 Speed-up of numexpr unaligned over numpy: 1.3777

*************** TOTALS **************************
numpy total: 1.0263
numpy strided total: 1.11778
numpy unaligned total: 1.25977
numexpr total: 0.59291
Speed-up of numexpr over numpy: 1.731
numexpr strided total: 0.6722
Speed-up of numexpr strided over numpy: 1.663
numexpr unaligned total: 0.72325
Speed-up of numexpr unaligned over numpy: 1.742