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"""Benchmarks for `numpy.lib`."""
from __future__ import absolute_import, division, print_function
from .common import Benchmark
import numpy as np
class Pad(Benchmark):
"""Benchmarks for `numpy.pad`."""
param_names = ["shape", "pad_width", "mode"]
params = [
[(1000,), (10, 100), (10, 10, 10)],
[1, 3, (0, 5)],
["constant", "edge", "linear_ramp", "mean", "reflect", "wrap"],
]
def setup(self, shape, pad_width, mode):
# avoid np.zeros or np.empty's lazy allocation.
# np.full causes pagefaults to occur during setup
# instead of during the benchmark
self.array = np.full(shape, 0)
def time_pad(self, shape, pad_width, mode):
np.pad(self.array, pad_width, mode)
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