def test_mean(self):
from _numpypy import array, mean
a = array(range(5))
assert a.mean() == 2.0
assert a[:4].mean() == 1.5
a = array(range(105)).reshape(3, 5, 7)
b = mean(a, axis=0)
b[0,0]==35.
assert a.mean(axis=0)[0, 0] == 35
assert (b == array(range(35, 70), dtype=float).reshape(5, 7)).all()
assert (mean(a, 2) == array(range(0, 15), dtype=float).reshape(3, 5) * 7 + 3).all()
def test_mean(self):
from _numpypy import array, mean
a = array(range(5))
assert a.mean() == 2.0
assert a[:4].mean() == 1.5
a = array(range(105)).reshape(3, 5, 7)
b = mean(a, axis=0)
b[0, 0] == 35.
assert a.mean(axis=0)[0, 0] == 35
assert (b == array(range(35, 70), dtype=float).reshape(5, 7)).all()
assert (mean(a,
2) == array(range(0, 15), dtype=float).reshape(3, 5) * 7 +
3).all()
def test_mean(self):
from _numpypy import array, mean
assert mean(array(range(5))) == 2.0
assert mean(range(5)) == 2.0
def test_mean(self):
from _numpypy import array, mean
assert mean(array(range(5))) == 2.0
assert mean(range(5)) == 2.0