update results

examples/numpyarrays/examply.py

@@ -1,6 +1,7 @@
 import examply
 import numpy as np
 from timeit import default_timer as timer
+import multiprocessing
 
 def fLoop(ar):
     s = 0.0
@@ -17,8 +18,12 @@ def fLoop(ar):
 def main():
     print("Python => main()")
     MAX_X = int(3*1e3)
-    MAX_Y = int(2*1e4)
+    MAX_Y = int(3*1e3)
     MAX_LEN = int(MAX_X*MAX_Y)
+    print("CPU COUNT=",  multiprocessing.cpu_count())
+    print("MAX_X=", MAX_X)
+    print("MAX_Y=", MAX_Y)
+    print("MAX_LEN=", MAX_LEN)
     ar = np.random.rand(MAX_X, MAX_Y)
 
     print("BEGIN")

examples/numpyarrays/results.txt

@@ -1,33 +1,33 @@
 Python => main()
+CPU COUNT= 8
+MAX_X= 3000
+MAX_Y= 3000
+MAX_LEN= 9000000
 BEGIN
 ----------------
-[[0.60475077 0.44413095 0.46564047 ... 0.47212688 0.68146299 0.12783958]
- [0.98983087 0.67538494 0.13498299 ... 0.32210424 0.90469584 0.56615492]
- [0.50289262 0.73438084 0.67021523 ... 0.35588945 0.69781675 0.78326607]
+[[0.26194446 0.08192133 0.55000653 ... 0.8309888  0.58720536 0.02474165]
+ [0.73023235 0.5942633  0.68405983 ... 0.53193958 0.06570396 0.37570736]
+ [0.67471879 0.30205339 0.99211628 ... 0.23007753 0.08021201 0.53655033]
  ...
- [0.93074486 0.37784018 0.71430288 ... 0.89912398 0.80890871 0.76614078]
- [0.80702007 0.37779148 0.79672089 ... 0.17169144 0.68481681 0.07518684]
- [0.21838055 0.43156273 0.83545144 ... 0.67567453 0.55417085 0.86909124]]
+ [0.53500795 0.67878598 0.82899082 ... 0.6583351  0.82552753 0.13155744]
+ [0.5549234  0.55656235 0.86248167 ... 0.72473359 0.18438149 0.60065313]
+ [0.86027365 0.24390531 0.57120545 ... 0.69851604 0.81229157 0.07272132]]
 1)
-------------------------
-30000
-20000
-------------------------
-res= 231784157.45953572
-Python loop took :  122.96784695895622  seconds
-pyres= 231784157.45953572
-Python measured native loop took :  0.5876745420391671  seconds
-Nim measured native loop took :  587.645  ms
-res= 231784157.45953572
+res= 3477241.833174428
+Python loop took :  3.6015096540213563  seconds
+pyres= 3477241.833174428
+Python measured native loop took :  0.018548287014709786  seconds
+Nim measured native loop took :  18.52  ms
+res= 3477241.833174428
 2) Showing in-place mod
-[0.60475077 0.44413095 0.46564047]
-[123.          -5.           0.46564047]
+[0.26194446 0.08192133 0.55000653]
+[123.          -5.           0.55000653]
 3) Comparing for loops
-normalForOp:  0.4645314170047641  seconds
-indexedOp:  0.8829496669932269  seconds
-parallelForOp:  0.13061370799550787  seconds
-parallelIndexedForOp:  0.15869620797457173  seconds
-Native python for:  177.12224933301331  seconds
+normalForOp:  0.03445864300010726  seconds
+indexedOp:  0.04115106599056162  seconds
+parallelForOp:  0.00984231400070712  seconds
+parallelIndexedForOp:  0.024510202987585217  seconds
+Native python for:  5.1321438050072175  seconds
 False
 False
 True