mirror of https://github.com/pyodide/pyodide.git
9 lines
405 B
Python
9 lines
405 B
Python
#from: http://stackoverflow.com/questions/17112550/python-and-numba-for-vectorized-functions
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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)
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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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