pyodide/benchmark/benchmarks/fft.py

# setup: N = 2**11 ; import numpy ; a = numpy.array(numpy.random.rand(N), dtype=complex)  # noqa
# run: fft(a)

# pythran export fft(complex [])

import numpy as np


def fft(x):
    return np.fft(x)
Autopep8 on all benchmarks 2018-10-03 18:59:01 +00:00			`# setup: N = 2**11 ; import numpy ; a = numpy.array(numpy.random.rand(N), dtype=complex) # noqa`
			`# run: fft(a)`
Adding benchmarks 2018-04-05 22:07:33 +00:00
Autopep8 on all benchmarks 2018-10-03 18:59:01 +00:00			`# pythran export fft(complex [])`
Adding benchmarks 2018-04-05 22:07:33 +00:00
Clean up and improve some benchmarks 2018-10-03 12:38:48 +00:00			`import numpy as np`
Adding benchmarks 2018-04-05 22:07:33 +00:00
Autopep8 on all benchmarks 2018-10-03 18:59:01 +00:00
Explicitly define the fft function 2018-10-03 14:57:11 +00:00			`def fft(x):`
			`return np.fft(x)`