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from __future__ import absolute_import
# Supported dtypes
dtypes = ['int32', 'int64', 'float32', 'float64']
from . import slow
# If you bork the build (e.g. by messing around with the templates),
# you still want to be able to import Bottleneck so that you can
# rebuild using the templates. So try to import the compiled Bottleneck
# functions to the top level, but move on if not successful.
try:
from .func import (nansum, nanmax, nanmin, nanmean, nanstd, nanvar, median,
nanmedian, nanargmin, nanargmax, rankdata, nanrankdata,
ss, nn, partsort, argpartsort, replace, anynan, allnan)
except:
pass
try:
from .move import (move_sum, move_nansum,
move_mean, move_nanmean,
move_std, move_nanstd,
move_min, move_nanmin,
move_max, move_nanmax,
move_median)
except:
pass
from bottleneck.version import __version__
from bottleneck.benchmark.bench import bench
try:
from numpy.testing import Tester
test = Tester().test
del Tester
except (ImportError, ValueError):
print("No Bottleneck unit testing available.")
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