def test_remove():
datasets, specs = three_faces_sheet()
datasets = extrude(datasets, method="translation")
eptm = Epithelium("3Faces_3D", datasets, specs)
dict_before = {
"srce": {
0: 0,
1: 1,
2: 2,
3: 3,
4: 4,
5: 5,
6: 0,
7: 5,
8: 6,
9: 7,
10: 8,
11: 9,
12: 0,
13: 9,
14: 10,
15: 11,
16: 12,
17: 1,
18: 14,
19: 15,
20: 16,
21: 17,
22: 18,
23: 13,
24: 18,
25: 19,
26: 20,
27: 21,
28: 22,
29: 13,
30: 22,
31: 23,
32: 24,
33: 25,
34: 14,
35: 13,
36: 1,
37: 0,
38: 13,
39: 14,
40: 2,
41: 1,
42: 14,
43: 15,
44: 3,
45: 2,
46: 15,
47: 16,
48: 4,
49: 3,
50: 16,
51: 17,
52: 5,
53: 4,
54: 17,
55: 18,
56: 0,
57: 5,
58: 18,
59: 13,
60: 5,
61: 0,
62: 13,
63: 18,
64: 6,
65: 5,
66: 18,
67: 19,
68: 7,
69: 6,
70: 19,
71: 20,
72: 8,
73: 7,
74: 20,
75: 21,
76: 9,
77: 8,
78: 21,
79: 22,
80: 0,
81: 9,
82: 22,
83: 13,
84: 9,
85: 0,
86: 13,
87: 22,
88: 10,
89: 9,
90: 22,
91: 23,
92: 11,
93: 10,
94: 23,
95: 24,
96: 12,
97: 11,
98: 24,
99: 25,
100: 1,
101: 12,
102: 25,
103: 14,
104: 0,
105: 1,
106: 14,
107: 13,
},
"trgt": {
0: 1,
1: 2,
2: 3,
3: 4,
4: 5,
5: 0,
6: 5,
7: 6,
8: 7,
9: 8,
10: 9,
11: 0,
12: 9,
13: 10,
14: 11,
15: 12,
16: 1,
17: 0,
18: 13,
19: 14,
20: 15,
21: 16,
22: 17,
23: 18,
24: 13,
25: 18,
26: 19,
27: 20,
28: 21,
29: 22,
30: 13,
31: 22,
32: 23,
33: 24,
34: 25,
35: 14,
36: 0,
37: 13,
38: 14,
39: 1,
40: 1,
41: 14,
42: 15,
43: 2,
44: 2,
45: 15,
46: 16,
47: 3,
48: 3,
49: 16,
50: 17,
51: 4,
52: 4,
53: 17,
54: 18,
55: 5,
56: 5,
57: 18,
58: 13,
59: 0,
60: 0,
61: 13,
62: 18,
63: 5,
64: 5,
65: 18,
66: 19,
67: 6,
68: 6,
69: 19,
70: 20,
71: 7,
72: 7,
73: 20,
74: 21,
75: 8,
76: 8,
77: 21,
78: 22,
79: 9,
80: 9,
81: 22,
82: 13,
83: 0,
84: 0,
85: 13,
86: 22,
87: 9,
88: 9,
89: 22,
90: 23,
91: 10,
92: 10,
93: 23,
94: 24,
95: 11,
96: 11,
97: 24,
98: 25,
99: 12,
100: 12,
101: 25,
102: 14,
103: 1,
104: 1,
105: 14,
106: 13,
107: 0,
},
"face": {
0: 0,
1: 0,
2: 0,
3: 0,
4: 0,
5: 0,
6: 1,
7: 1,
8: 1,
9: 1,
10: 1,
11: 1,
12: 2,
13: 2,
14: 2,
15: 2,
16: 2,
17: 2,
18: 3,
19: 3,
20: 3,
21: 3,
22: 3,
23: 3,
24: 4,
25: 4,
26: 4,
27: 4,
28: 4,
29: 4,
30: 5,
31: 5,
32: 5,
33: 5,
34: 5,
35: 5,
36: 6,
37: 6,
38: 6,
39: 6,
40: 7,
41: 7,
42: 7,
43: 7,
44: 8,
45: 8,
46: 8,
47: 8,
48: 9,
49: 9,
50: 9,
51: 9,
52: 10,
53: 10,
54: 10,
55: 10,
56: 11,
57: 11,
58: 11,
59: 11,
60: 12,
61: 12,
62: 12,
63: 12,
64: 13,
65: 13,
66: 13,
67: 13,
68: 14,
69: 14,
70: 14,
71: 14,
72: 15,
73: 15,
74: 15,
75: 15,
76: 16,
77: 16,
78: 16,
79: 16,
80: 17,
81: 17,
82: 17,
83: 17,
84: 18,
85: 18,
86: 18,
87: 18,
88: 19,
89: 19,
90: 19,
91: 19,
92: 20,
93: 20,
94: 20,
95: 20,
96: 21,
97: 21,
98: 21,
99: 21,
100: 22,
101: 22,
102: 22,
103: 22,
104: 23,
105: 23,
106: 23,
107: 23,
},
}
dict_after = {
"srce": {
0: 0,
1: 2,
2: 3,
3: 4,
4: 5,
5: 6,
6: 0,
7: 6,
8: 7,
9: 8,
10: 9,
11: 1,
12: 12,
13: 13,
14: 14,
15: 15,
16: 16,
17: 10,
18: 16,
19: 17,
20: 18,
21: 19,
22: 11,
23: 10,
24: 2,
25: 0,
26: 10,
27: 12,
28: 3,
29: 2,
30: 12,
31: 13,
32: 4,
33: 3,
34: 13,
35: 14,
36: 5,
37: 4,
38: 14,
39: 15,
40: 6,
41: 5,
42: 15,
43: 16,
44: 0,
45: 6,
46: 16,
47: 10,
48: 6,
49: 0,
50: 10,
51: 16,
52: 7,
53: 6,
54: 16,
55: 17,
56: 8,
57: 7,
58: 17,
59: 18,
60: 9,
61: 8,
62: 18,
63: 19,
64: 1,
65: 9,
66: 19,
67: 11,
68: 0,
69: 1,
70: 11,
71: 10,
},
"trgt": {
0: 2,
1: 3,
2: 4,
3: 5,
4: 6,
5: 0,
6: 6,
7: 7,
8: 8,
9: 9,
10: 1,
11: 0,
12: 10,
13: 12,
14: 13,
15: 14,
16: 15,
17: 16,
18: 10,
19: 16,
20: 17,
21: 18,
22: 19,
23: 11,
24: 0,
25: 10,
26: 12,
27: 2,
28: 2,
29: 12,
30: 13,
31: 3,
32: 3,
33: 13,
34: 14,
35: 4,
36: 4,
37: 14,
38: 15,
39: 5,
40: 5,
41: 15,
42: 16,
43: 6,
44: 6,
45: 16,
46: 10,
47: 0,
48: 0,
49: 10,
50: 16,
51: 6,
52: 6,
53: 16,
54: 17,
55: 7,
56: 7,
57: 17,
58: 18,
59: 8,
60: 8,
61: 18,
62: 19,
63: 9,
64: 9,
65: 19,
66: 11,
67: 1,
68: 1,
69: 11,
70: 10,
71: 0,
},
"face": {
0: 0,
1: 0,
2: 0,
3: 0,
4: 0,
5: 0,
6: 1,
7: 1,
8: 1,
9: 1,
10: 1,
11: 1,
12: 2,
13: 2,
14: 2,
15: 2,
16: 2,
17: 2,
18: 3,
19: 3,
20: 3,
21: 3,
22: 3,
23: 3,
24: 4,
25: 4,
26: 4,
27: 4,
28: 5,
29: 5,
30: 5,
31: 5,
32: 6,
33: 6,
34: 6,
35: 6,
36: 7,
37: 7,
38: 7,
39: 7,
40: 8,
41: 8,
42: 8,
43: 8,
44: 9,
45: 9,
46: 9,
47: 9,
48: 10,
49: 10,
50: 10,
51: 10,
52: 11,
53: 11,
54: 11,
55: 11,
56: 12,
57: 12,
58: 12,
59: 12,
60: 13,
61: 13,
62: 13,
63: 13,
64: 14,
65: 14,
66: 14,
67: 14,
68: 15,
69: 15,
70: 15,
71: 15,
},
}
sft_before = pd.DataFrame.from_dict(dict_before)
sft_after = pd.DataFrame.from_dict(dict_after)
eptm.remove([0])
assert eptm.edge_df[["srce", "trgt",
"face"]].equals(sft_after[["srce", "trgt", "face"]])
def test_remove():
datasets, specs = three_faces_sheet()
datasets = extrude(datasets, method="translation")
eptm = Epithelium("3Faces_3D", datasets, specs)
dict_after = {
"srce": {
0: 0,
1: 2,
2: 3,
3: 4,
4: 5,
5: 6,
6: 0,
7: 6,
8: 7,
9: 8,
10: 9,
11: 1,
12: 12,
13: 13,
14: 14,
15: 15,
16: 16,
17: 10,
18: 16,
19: 17,
20: 18,
21: 19,
22: 11,
23: 10,
24: 2,
25: 0,
26: 10,
27: 12,
28: 3,
29: 2,
30: 12,
31: 13,
32: 4,
33: 3,
34: 13,
35: 14,
36: 5,
37: 4,
38: 14,
39: 15,
40: 6,
41: 5,
42: 15,
43: 16,
44: 0,
45: 6,
46: 16,
47: 10,
48: 6,
49: 0,
50: 10,
51: 16,
52: 7,
53: 6,
54: 16,
55: 17,
56: 8,
57: 7,
58: 17,
59: 18,
60: 9,
61: 8,
62: 18,
63: 19,
64: 1,
65: 9,
66: 19,
67: 11,
68: 0,
69: 1,
70: 11,
71: 10,
},
"trgt": {
0: 2,
1: 3,
2: 4,
3: 5,
4: 6,
5: 0,
6: 6,
7: 7,
8: 8,
9: 9,
10: 1,
11: 0,
12: 10,
13: 12,
14: 13,
15: 14,
16: 15,
17: 16,
18: 10,
19: 16,
20: 17,
21: 18,
22: 19,
23: 11,
24: 0,
25: 10,
26: 12,
27: 2,
28: 2,
29: 12,
30: 13,
31: 3,
32: 3,
33: 13,
34: 14,
35: 4,
36: 4,
37: 14,
38: 15,
39: 5,
40: 5,
41: 15,
42: 16,
43: 6,
44: 6,
45: 16,
46: 10,
47: 0,
48: 0,
49: 10,
50: 16,
51: 6,
52: 6,
53: 16,
54: 17,
55: 7,
56: 7,
57: 17,
58: 18,
59: 8,
60: 8,
61: 18,
62: 19,
63: 9,
64: 9,
65: 19,
66: 11,
67: 1,
68: 1,
69: 11,
70: 10,
71: 0,
},
"face": {
0: 0,
1: 0,
2: 0,
3: 0,
4: 0,
5: 0,
6: 1,
7: 1,
8: 1,
9: 1,
10: 1,
11: 1,
12: 2,
13: 2,
14: 2,
15: 2,
16: 2,
17: 2,
18: 3,
19: 3,
20: 3,
21: 3,
22: 3,
23: 3,
24: 4,
25: 4,
26: 4,
27: 4,
28: 5,
29: 5,
30: 5,
31: 5,
32: 6,
33: 6,
34: 6,
35: 6,
36: 7,
37: 7,
38: 7,
39: 7,
40: 8,
41: 8,
42: 8,
43: 8,
44: 9,
45: 9,
46: 9,
47: 9,
48: 10,
49: 10,
50: 10,
51: 10,
52: 11,
53: 11,
54: 11,
55: 11,
56: 12,
57: 12,
58: 12,
59: 12,
60: 13,
61: 13,
62: 13,
63: 13,
64: 14,
65: 14,
66: 14,
67: 14,
68: 15,
69: 15,
70: 15,
71: 15,
},
}
sft_after = pd.DataFrame.from_dict(dict_after)
eptm.remove([0])
assert eptm.edge_df[["srce", "trgt",
"face"]].equals(sft_after[["srce", "trgt", "face"]])
def test_remove():
datasets, specs = three_faces_sheet()
datasets = extrude(datasets, method="translation")
eptm = Epithelium('3Faces_3D', datasets, specs)
dict_before = {'srce': {0: 0, 1: 1, 2: 2, 3: 3, 4: 4, 5: 5, 6: \
0, 7: 5, 8: 6, 9: 7, 10: 8, 11: 9, 12: \
0, 13: 9, 14: 10, 15: 11, 16: 12, 17: \
1, 18: 14, 19: 15, 20: 16, 21: 17, 22: \
18, 23: 13, 24: 18, 25: 19, 26: 20, 27:\
21, 28: 22, 29: 13, 30: 22, 31: 23, 32:\
24, 33: 25, 34: 14, 35: 13, 36: 1, 37: 0,\
38: 13, 39: 14, 40: 2, 41: 1, 42: 14, 43:\
15, 44: 3, 45: 2, 46: 15, 47: 16, 48: 4, \
49: 3, 50: 16, 51: 17, 52: 5, 53: 4, 54: \
17, 55: 18, 56: 0, 57: 5, 58: 18, 59: 13,\
60: 5, 61: 0, 62: 13, 63: 18, 64: 6, 65: 5,\
66: 18, 67: 19, 68: 7, 69: 6, 70: 19, 71: \
20, 72: 8, 73: 7, 74: 20, 75: 21, 76: 9, 77:\
8, 78: 21, 79: 22, 80: 0, 81: 9, 82: 22, 83:\
13, 84: 9, 85: 0, 86: 13, 87: 22, 88: 10, \
89: 9, 90: 22, 91: 23, 92: 11, 93: 10, 94:\
23, 95: 24, 96: 12, 97: 11, 98: 24, 99: 25,\
100: 1, 101: 12, 102: 25, 103: 14, 104: 0,\
105: 1, 106: 14, 107: 13}, \
'trgt': {0: 1, 1: 2, 2: 3, 3: 4, 4: 5, 5: 0, 6: 5, 7:\
6, 8: 7, 9: 8, 10: 9, 11: 0, 12: 9, 13: 10,\
14: 11, 15: 12, 16: 1, 17: 0, 18: 13, 19: \
14, 20: 15, 21: 16, 22: 17, 23: 18, 24: 13,\
25: 18, 26: 19, 27: 20, 28: 21, 29: 22, 30:\
13, 31: 22, 32: 23, 33: 24, 34: 25, 35: 14,\
36: 0, 37: 13, 38: 14, 39: 1, 40: 1, 41: 14,\
42: 15, 43: 2, 44: 2, 45: 15, 46: 16, 47: 3, \
48: 3, 49: 16, 50: 17, 51: 4, 52: 4, 53: 17,\
54: 18, 55: 5, 56: 5, 57: 18, 58: 13, 59: 0, \
60: 0, 61: 13, 62: 18, 63: 5, 64: 5, 65: 18,\
66: 19, 67: 6, 68: 6, 69: 19, 70: 20, 71: 7, \
72: 7, 73: 20, 74: 21, 75: 8, 76: 8, 77: 21,\
78: 22, 79: 9, 80: 9, 81: 22, 82: 13, 83: 0,\
84: 0, 85: 13, 86: 22, 87: 9, 88: 9, 89: 22, \
90: 23, 91: 10, 92: 10, 93: 23, 94: 24, 95: \
11, 96: 11, 97: 24, 98: 25, 99: 12, 100: 12,\
101: 25, 102: 14, 103: 1, 104: 1, 105: 14,\
106: 13, 107: 0}, \
'face': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0, 5: 0, 6: 1, 7: \
1, 8: 1, 9: 1, 10: 1, 11: 1, 12: 2, 13: 2, \
14: 2, 15: 2, 16: 2, 17: 2, 18: 3, 19: 3, 20:\
3, 21: 3, 22: 3, 23: 3, 24: 4, 25: 4, 26: 4, \
27: 4, 28: 4, 29: 4, 30: 5, 31: 5, 32: 5, 33:\
5, 34: 5, 35: 5, 36: 6, 37: 6, 38: 6, 39: 6, \
40: 7, 41: 7, 42: 7, 43: 7, 44: 8, 45: 8, 46:\
8, 47: 8, 48: 9, 49: 9, 50: 9, 51: 9, 52: 10,\
53: 10, 54: 10, 55: 10, 56: 11, 57: 11, 58: 11,\
59: 11, 60: 12, 61: 12, 62: 12, 63: 12, 64: \
13, 65: 13, 66: 13, 67: 13, 68: 14, 69: 14,\
70: 14, 71: 14, 72: 15, 73: 15, 74: 15, 75: \
15, 76: 16, 77: 16, 78: 16, 79: 16, 80: 17, \
81: 17, 82: 17, 83: 17, 84: 18, 85: 18, 86: \
18, 87: 18, 88: 19, 89: 19, 90: 19, 91: 19, \
92: 20, 93: 20, 94: 20, 95: 20, 96: 21, 97: \
21, 98: 21, 99: 21, 100: 22, 101: 22, 102: 22,\
103: 22, 104: 23, 105: 23, 106: 23, 107: 23}}
dict_after = {'srce': {0: 0, 1: 2, 2: 3, 3: 4, 4: 5, 5: 6, 6: 0, 7:\
6, 8: 7, 9: 8, 10: 9, 11: 1, 12: 12, 13: 13,\
14: 14, 15: 15, 16: 16, 17: 10, 18: 16, 19:\
17, 20: 18, 21: 19, 22: 11, 23: 10, 24: 2, \
25: 0, 26: 10, 27: 12, 28: 3, 29: 2, 30: 12,\
31: 13, 32: 4, 33: 3, 34: 13, 35: 14, 36: 5,\
37: 4, 38: 14, 39: 15, 40: 6, 41: 5, 42: 15,\
43: 16, 44: 0, 45: 6, 46: 16, 47: 10, 48: 6,\
49: 0, 50: 10, 51: 16, 52: 7, 53: 6, 54: 16,\
55: 17, 56: 8, 57: 7, 58: 17, 59: 18, 60: 9,\
61: 8, 62: 18, 63: 19, 64: 1, 65: 9, 66: 19,\
67: 11, 68: 0, 69: 1, 70: 11, 71: 10}, \
'trgt': {0: 2, 1: 3, 2: 4, 3: 5, 4: 6, 5: 0, 6: 6, 7:\
7, 8: 8, 9: 9, 10: 1, 11: 0, 12: 10, 13: 12,\
14: 13, 15: 14, 16: 15, 17: 16, 18: 10, 19: \
16, 20: 17, 21: 18, 22: 19, 23: 11, 24: 0, \
25: 10, 26: 12, 27: 2, 28: 2, 29: 12, 30: 13,\
31: 3, 32: 3, 33: 13, 34: 14, 35: 4, 36: 4, \
37: 14, 38: 15, 39: 5, 40: 5, 41: 15, 42: 16,\
43: 6, 44: 6, 45: 16, 46: 10, 47: 0, 48: 0,\
49: 10, 50: 16, 51: 6, 52: 6, 53: 16, 54: \
17, 55: 7, 56: 7, 57: 17, 58: 18, 59: 8, 60:\
8, 61: 18, 62: 19, 63: 9, 64: 9, 65: 19, 66:\
11, 67: 1, 68: 1, 69: 11, 70: 10, 71: 0},\
'face': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0, 5: 0, 6: 1, \
7: 1, 8: 1, 9: 1, 10: 1, 11: 1, 12: 2, 13: \
2, 14: 2, 15: 2, 16: 2, 17: 2, 18: 3, 19:\
3, 20: 3, 21: 3, 22: 3, 23: 3, 24: 4, 25:\
4, 26: 4, 27: 4, 28: 5, 29: 5,30: 5, 31: 5,\
32: 6, 33: 6, 34: 6, 35: 6, 36: 7, 37: 7, \
38: 7, 39: 7, 40: 8, 41: 8, 42: 8, 43: 8, 44:\
9, 45: 9, 46: 9, 47: 9, 48: 10, 49: 10,\
50: 10, 51: 10, 52: 11, 53: 11, 54: 11, 55:\
11, 56: 12, 57: 12, 58: 12, 59: 12, 60: 13,\
61: 13, 62: 13, 63: 13, 64: 14, 65: 14, 66:\
14, 67: 14, 68: 15, 69: 15, 70: 15, 71: 15}}
sft_before = pd.DataFrame.from_dict(dict_before)
sft_after = pd.DataFrame.from_dict(dict_after)
eptm.remove([0])
eptm.update_mindex()
assert eptm.edge_df[['srce', 'trgt',
'face']].equals(sft_after[['srce', 'trgt', 'face']])
