mirror of https://github.com/pyodide/pyodide.git
18 lines
433 B
Python
18 lines
433 B
Python
|
#setup: import numpy as np ; N = 1000 ; a = np.arange(0,1,N)
|
||
|
|
#run: smoothing(a, .4)
|
||
|
|
#from: http://www.parakeetpython.com/
|
||
|
|
|
||
|
|
#pythran export smoothing(float[], float)
|
||
|
|
|
||
|
|
def smoothing(x, alpha):
|
||
|
|
"""
|
||
|
|
Exponential smoothing of a time series
|
||
|
|
For x = 10**6 floats
|
||
|
|
- Python runtime: 9 seconds
|
||
|
|
- Parakeet runtime: .01 seconds
|
||
|
|
"""
|
||
|
|
s = x.copy()
|
||
|
|
for i in range(1, len(x)):
|
||
|
|
s[i] = alpha * x[i] + (1 - alpha) * s[i-1]
|
||
|
|
return s
|