Use larger arrays for benchs

Author: FrancescAlted

bench/boolean_timing.py

@@ -13,7 +13,7 @@
 import timeit
 import numpy
 
-array_size = 1000*1000
+array_size = 5_000_000
 iterations = 10
 
 numpy_ttime = []
@@ -23,6 +23,7 @@
 numexpr_sttime = []
 numexpr_nttime = []
 
+
 def compare_times(expr, nexpr):
     global numpy_ttime
     global numpy_sttime
@@ -64,15 +65,15 @@ def compare_times(expr, nexpr):
     numexpr_stime = round(numexpr_timer.timeit(number=iterations), 4)
     numexpr_sttime.append(numexpr_stime)
     print("numexpr strided:", numexpr_stime/iterations, end=" ")
-    print("Speed-up of numexpr strided over numpy:", \
+    print("Speed-up of numexpr strided over numpy:",
           round(numpy_stime/numexpr_stime, 4))
 
     evalexpr = 'evaluate("%s", optimization="aggressive")' % expr
     numexpr_timer = timeit.Timer(evalexpr, setup_unaligned)
     numexpr_ntime = round(numexpr_timer.timeit(number=iterations), 4)
     numexpr_nttime.append(numexpr_ntime)
     print("numexpr unaligned:", numexpr_ntime/iterations, end=" ")
-    print("Speed-up of numexpr unaligned over numpy:", \
+    print("Speed-up of numexpr unaligned over numpy:",
           round(numpy_ntime/numexpr_ntime, 4))
 
 
@@ -113,7 +114,7 @@ def compare_times(expr, nexpr):
 expressions.append('sqrt(i2**2 + f3**2) > 1')
 expressions.append('(i2>2) | ((f3**2>3) & ~(i2*f3<2))')
 
-def compare(expression=False):
+def compare(expression=None):
     if expression:
         compare_times(expression, 1)
         sys.exit(0)

bench/timing.py

@@ -11,7 +11,7 @@
 from __future__ import print_function
 import timeit, numpy
 
-array_size = 1e6
+array_size = 5e6
 iterations = 2
 
 # Choose the type you want to benchmark

bench/vml_timing.py

@@ -14,7 +14,7 @@
 import numpy
 import numexpr
 
-array_size = 1000*1000
+array_size = 5_000_000
 iterations = 10
 
 numpy_ttime = []