pyodide/benchmark/benchmarks/vibr_energy.py

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2018-04-05 22:07:33 +00:00
#from: http://stackoverflow.com/questions/17112550/python-and-numba-for-vectorized-functions
#setup: import numpy as np ; N = 100000 ; a, b, c = np.random.rand(N), np.random.rand(N), np.random.rand(N)
#run: vibr_energy(a, b, c)
#pythran export vibr_energy(float64[], float64[], float64[])
import numpy
2018-10-03 12:38:48 +00:00
2018-04-05 22:07:33 +00:00
def vibr_energy(harmonic, anharmonic, i):
return numpy.exp(-harmonic * i - anharmonic * (i ** 2))