Merge pull request adafruit#1084 from v923z/master

update benchmark.py

Author: jepler

ulab_Crunch_Numbers_Fast/benchmark.py

@@ -16,12 +16,12 @@ def normalized_rms(values):
     return math.sqrt(samples_sum / len(values))
 
 def normalized_rms_ulab(values):
+    # this function works with ndarrays only
     minbuf = ulab.numerical.mean(values)
     values = values - minbuf
     samples_sum = ulab.numerical.sum(values * values)
     return math.sqrt(samples_sum / len(values))
 
-
 # Instead of using sensor data, we generate some data
 # The amplitude is 5000 so the rms should be around 5000/1.414 = 3536
 nums_list = [int(8000 + math.sin(i) * 5000) for i in range(100)]
@@ -33,8 +33,10 @@ def timeit(s, f, n=100):
         x = f()
     t1 = time.monotonic_ns()
     r = (t1 - t0) * 1e-6 / n
-    print("%-20s : %8.3fms [result=%f]" % (s, r, x))
+    print("%-30s : %8.3fms [result=%f]" % (s, r, x))
 
 print("Computing the RMS value of 100 numbers")
 timeit("traditional", lambda: normalized_rms(nums_list))
-timeit("ulab", lambda: normalized_rms_ulab(nums_array))
+timeit("ulab, with ndarray, some implementation in python", lambda: normalized_rms_ulab(nums_array))
+timeit("ulab only, with list", lambda: ulab.numerical.std(nums_list))
+timeit("ulab only, with ndarray", lambda: ulab.numerical.std(nums_array))