pyodide/benchmark/benchmarks/rosen.py

# setup: import numpy as np; r = np.arange(1000000, dtype=float)
# run: rosen(r)
import numpy as np

# pythran export rosen(float[])


def rosen(x):
    t0 = 100 * (x[1:] - x[:-1] ** 2) ** 2
    t1 = (1 - x[:-1]) ** 2
    return np.sum(t0 + t1)
Autopep8 on all benchmarks 2018-10-03 18:59:01 +00:00			`# setup: import numpy as np; r = np.arange(1000000, dtype=float)`
			`# run: rosen(r)`
Adding benchmarks 2018-04-05 22:07:33 +00:00			`import numpy as np`

Autopep8 on all benchmarks 2018-10-03 18:59:01 +00:00			`# pythran export rosen(float[])`
Adding benchmarks 2018-04-05 22:07:33 +00:00
Clean up and improve some benchmarks 2018-10-03 12:38:48 +00:00
Adding benchmarks 2018-04-05 22:07:33 +00:00			`def rosen(x):`
			`t0 = 100 * (x[1:] - x[:-1] 2) 2`
			`t1 = (1 - x[:-1]) ** 2`
			`return np.sum(t0 + t1)`