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from copy import deepcopy
import numpy as np
import countless2d
import countless3d
def test_countless2d():
def test_all_cases(fn, test_zero):
case1 = np.array([ [ 1, 2 ], [ 3, 4 ] ]).reshape((2,2,1,1)) # all different
case2 = np.array([ [ 1, 1 ], [ 2, 3 ] ]).reshape((2,2,1,1)) # two are same
case1z = np.array([ [ 0, 1 ], [ 2, 3 ] ]).reshape((2,2,1,1)) # all different
case2z = np.array([ [ 0, 0 ], [ 2, 3 ] ]).reshape((2,2,1,1)) # two are same
case3 = np.array([ [ 1, 1 ], [ 2, 2 ] ]).reshape((2,2,1,1)) # two groups are same
case4 = np.array([ [ 1, 2 ], [ 2, 2 ] ]).reshape((2,2,1,1)) # 3 are the same
case5 = np.array([ [ 5, 5 ], [ 5, 5 ] ]).reshape((2,2,1,1)) # all are the same
is_255_handled = np.array([ [ 255, 255 ], [ 1, 2 ] ], dtype=np.uint8).reshape((2,2,1,1))
test = lambda case: fn(case)
if test_zero:
assert test(case1z) == [[[[3]]]] # d
assert test(case2z) == [[[[0]]]] # a==b
else:
assert test(case1) == [[[[4]]]] # d
assert test(case2) == [[[[1]]]] # a==b
assert test(case3) == [[[[1]]]] # a==b
assert test(case4) == [[[[2]]]] # b==c
assert test(case5) == [[[[5]]]] # a==b
assert test(is_255_handled) == [[[[255]]]]
assert fn(case1).dtype == case1.dtype
test_all_cases(countless2d.simplest_countless, False)
test_all_cases(countless2d.quick_countless, False)
test_all_cases(countless2d.quickest_countless, False)
test_all_cases(countless2d.stippled_countless, False)
methods = [
countless2d.zero_corrected_countless,
countless2d.countless,
countless2d.countless_if,
# countless2d.counting, # counting doesn't respect order so harder to write a test
]
for fn in methods:
print(fn.__name__)
test_all_cases(fn, True)
def test_stippled_countless2d():
a = np.array([ [ 1, 2 ], [ 3, 4 ] ]).reshape((2,2,1,1))
b = np.array([ [ 0, 2 ], [ 3, 4 ] ]).reshape((2,2,1,1))
c = np.array([ [ 1, 0 ], [ 3, 4 ] ]).reshape((2,2,1,1))
d = np.array([ [ 1, 2 ], [ 0, 4 ] ]).reshape((2,2,1,1))
e = np.array([ [ 1, 2 ], [ 3, 0 ] ]).reshape((2,2,1,1))
f = np.array([ [ 0, 0 ], [ 3, 4 ] ]).reshape((2,2,1,1))
g = np.array([ [ 0, 2 ], [ 0, 4 ] ]).reshape((2,2,1,1))
h = np.array([ [ 0, 2 ], [ 3, 0 ] ]).reshape((2,2,1,1))
i = np.array([ [ 1, 0 ], [ 0, 4 ] ]).reshape((2,2,1,1))
j = np.array([ [ 1, 2 ], [ 0, 0 ] ]).reshape((2,2,1,1))
k = np.array([ [ 1, 0 ], [ 3, 0 ] ]).reshape((2,2,1,1))
l = np.array([ [ 1, 0 ], [ 0, 0 ] ]).reshape((2,2,1,1))
m = np.array([ [ 0, 2 ], [ 0, 0 ] ]).reshape((2,2,1,1))
n = np.array([ [ 0, 0 ], [ 3, 0 ] ]).reshape((2,2,1,1))
o = np.array([ [ 0, 0 ], [ 0, 4 ] ]).reshape((2,2,1,1))
z = np.array([ [ 0, 0 ], [ 0, 0 ] ]).reshape((2,2,1,1))
test = countless2d.stippled_countless
# Note: We only tested non-matching cases above,
# cases f,g,h,i,j,k prove their duals work as well
# b/c if two pixels are black, either one can be chosen
# if they are different or the same.
assert test(a) == [[[[4]]]]
assert test(b) == [[[[4]]]]
assert test(c) == [[[[4]]]]
assert test(d) == [[[[4]]]]
assert test(e) == [[[[1]]]]
assert test(f) == [[[[4]]]]
assert test(g) == [[[[4]]]]
assert test(h) == [[[[2]]]]
assert test(i) == [[[[4]]]]
assert test(j) == [[[[1]]]]
assert test(k) == [[[[1]]]]
assert test(l) == [[[[1]]]]
assert test(m) == [[[[2]]]]
assert test(n) == [[[[3]]]]
assert test(o) == [[[[4]]]]
assert test(z) == [[[[0]]]]
bc = np.array([ [ 0, 2 ], [ 2, 4 ] ]).reshape((2,2,1,1))
bd = np.array([ [ 0, 2 ], [ 3, 2 ] ]).reshape((2,2,1,1))
cd = np.array([ [ 0, 2 ], [ 3, 3 ] ]).reshape((2,2,1,1))
assert test(bc) == [[[[2]]]]
assert test(bd) == [[[[2]]]]
assert test(cd) == [[[[3]]]]
ab = np.array([ [ 1, 1 ], [ 0, 4 ] ]).reshape((2,2,1,1))
ac = np.array([ [ 1, 2 ], [ 1, 0 ] ]).reshape((2,2,1,1))
ad = np.array([ [ 1, 0 ], [ 3, 1 ] ]).reshape((2,2,1,1))
assert test(ab) == [[[[1]]]]
assert test(ac) == [[[[1]]]]
assert test(ad) == [[[[1]]]]
def test_countless3d():
def test_all_cases(fn):
alldifferent = [
[
[1,2],
[3,4],
],
[
[5,6],
[7,8]
]
]
allsame = [
[
[1,1],
[1,1],
],
[
[1,1],
[1,1]
]
]
assert fn(np.array(alldifferent)) == [[[8]]]
assert fn(np.array(allsame)) == [[[1]]]
twosame = deepcopy(alldifferent)
twosame[1][1][0] = 2
assert fn(np.array(twosame)) == [[[2]]]
threemixed = [
[
[3,3],
[1,2],
],
[
[2,4],
[4,3]
]
]
assert fn(np.array(threemixed)) == [[[3]]]
foursame = [
[
[4,4],
[1,2],
],
[
[2,4],
[4,3]
]
]
assert fn(np.array(foursame)) == [[[4]]]
fivesame = [
[
[5,4],
[5,5],
],
[
[2,4],
[5,5]
]
]
assert fn(np.array(fivesame)) == [[[5]]]
def countless3d_generalized(img):
return countless3d.countless_generalized(img, (2,2,2))
def countless3d_dynamic_generalized(img):
return countless3d.dynamic_countless_generalized(img, (2,2,2))
methods = [
countless3d.countless3d,
countless3d.dynamic_countless3d,
countless3d_generalized,
countless3d_dynamic_generalized,
]
for fn in methods:
test_all_cases(fn) |