pyodide/benchmark/benchmarks/smoothing.py

# 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