def normalize(cls, input_list, **kwargs):
"""
Normalize list elements
"""
list_min = numpypy.min(input_list, **kwargs)
list_norm = 1.0 / (numpypy.max(input_list, **kwargs) - list_min)
if kwargs.pop("round", True):
output_list = map(lambda x: round((x - list_min) * list_norm, cls.default_round), input_list)
else:
output_list = map(lambda x: (x - list_min) * list_norm, input_list)
return output_list
def test_min_max_after_import(self):
import __builtin__
from __builtin__ import *
from numpypy import *
assert min is __builtin__.min
assert max is __builtin__.max
assert min(1, 100) == 1
assert min(100, 1) == 1
assert max(1, 100) == 100
assert max(100, 1) == 100
assert min(4, 3, 2, 1) == 1
assert max(1, 2, 3, 4) == 4
from numpypy import min, max, amin, amax
assert min is not __builtin__.min
assert max is not __builtin__.max
assert min is amin
assert max is amax
def test_min_max_after_import(self):
import __builtin__
from __builtin__ import *
from numpypy import *
assert min is __builtin__.min
assert max is __builtin__.max
assert min(1, 100) == 1
assert min(100, 1) == 1
assert max(1, 100) == 100
assert max(100, 1) == 100
assert min(4, 3, 2, 1) == 1
assert max(1, 2, 3, 4) == 4
from numpypy import min, max, amin, amax
assert min is not __builtin__.min
assert max is not __builtin__.max
assert min is amin
assert max is amax
def max(cls, input_list, **kwargs):
"""
Calculate ceiling
"""
return round(numpypy.max(input_list, **kwargs), cls.default_round)
