mirror of https://github.com/pyodide/pyodide.git
11 lines
426 B
Python
11 lines
426 B
Python
# from: http://stackoverflow.com/questions/17112550/python-and-numba-for-vectorized-functions # noqa
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# setup: import numpy as np ; N = 100000 ; a, b, c = np.random.rand(N), np.random.rand(N), np.random.rand(N) # noqa
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# run: vibr_energy(a, b, c)
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# pythran export vibr_energy(float64[], float64[], float64[])
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import numpy
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def vibr_energy(harmonic, anharmonic, i):
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return numpy.exp(-harmonic * i - anharmonic * (i ** 2))
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