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)
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#run: smoothing(a, .4)
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#from: http://www.parakeetpython.com/
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#pythran export smoothing(float[], float)
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def smoothing(x, alpha):
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"""
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Exponential smoothing of a time series
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For x = 10**6 floats
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- Python runtime: 9 seconds
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- Parakeet runtime: .01 seconds
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"""
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s = x.copy()
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for i in range(1, len(x)):
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s[i] = alpha * x[i] + (1 - alpha) * s[i-1]
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return s
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