def test_generator():
x = range(10)
y = pipe(x) | sq
yy = [sq(e) for e in x]
for a, b in zip(y.value, yy):
assert a == b
def test_numpy_array():
v0 = np.array((0, 0, 0))
v1 = np.array((2, 2, 1))
d = v1 - v0
print(d)
r = pipe(d) | sq | fsum | sqrt
assert r.value == 3.0
def test_dist2():
v0 = (0, 0, 0)
v1 = (2, 2, 1)
d = diff(v1, v0)
print(d)
r = pipe(d) | sq | fsum | sqrt
assert r.value == 3.0
def test_dist():
v1 = (1, 1)
v2 = (4, 5)
d = diff(v1, v2)
r = pipe(d) | sq | sum | sqrt
assert r.value == 5.0
def test_composite_bad_way():
def norm2(v):
p = pipe(v) | sq | fsum | sqrt
return p.value
v1 = (1, 1)
v2 = (4, 5)
d = diff(v1, v2)
r = pipe(d) | norm2
assert r.value == 5.0
def norm2(v):
p = pipe(v) | sq | fsum | sqrt
return p.value
def test_lambda():
x = 2
y = pipe(x) | sq
z = pipe(x) | (lambda x: x * x)
assert y.value == z.value
def test_sort():
rnd = [6, 9, 1, 3, 4]
ans = sorted(rnd)
sort = pipe(rnd) | sorted
assert sort.value == ans