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pranjal_dhole
Flatland
Commits
5ce5d7e4
Commit
5ce5d7e4
authored
5 years ago
by
u214892
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#169
strengthened deterministic check
parent
46d7b2c3
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2 changed files
tests/test_flatland_envs_city_generator.py
+266
-2
266 additions, 2 deletions
tests/test_flatland_envs_city_generator.py
tests/test_flatland_envs_sparse_rail_generator.py
+680
-3
680 additions, 3 deletions
tests/test_flatland_envs_sparse_rail_generator.py
with
946 additions
and
5 deletions
tests/test_flatland_envs_city_generator.py
+
266
−
2
View file @
5ce5d7e4
...
...
@@ -26,8 +26,272 @@ def test_city_generator():
number_of_agents
=
10
,
obs_builder_object
=
GlobalObsForRailEnv
())
# approximative test (replace image comparison)
assert
np
.
sum
(
env
.
rail
.
grid
)
==
3642337
expected_grid_map
=
np
.
zeros
((
50
,
50
),
dtype
=
env
.
rail
.
transitions
.
get_type
())
expected_grid_map
[
8
][
16
]
=
4
expected_grid_map
[
8
][
17
]
=
5633
expected_grid_map
[
8
][
18
]
=
1025
expected_grid_map
[
8
][
19
]
=
1025
expected_grid_map
[
8
][
20
]
=
17411
expected_grid_map
[
8
][
21
]
=
1025
expected_grid_map
[
8
][
22
]
=
1025
expected_grid_map
[
8
][
23
]
=
1025
expected_grid_map
[
8
][
24
]
=
1025
expected_grid_map
[
8
][
25
]
=
1025
expected_grid_map
[
8
][
26
]
=
4608
expected_grid_map
[
9
][
16
]
=
16386
expected_grid_map
[
9
][
17
]
=
50211
expected_grid_map
[
9
][
18
]
=
1025
expected_grid_map
[
9
][
19
]
=
1025
expected_grid_map
[
9
][
20
]
=
3089
expected_grid_map
[
9
][
21
]
=
1025
expected_grid_map
[
9
][
22
]
=
256
expected_grid_map
[
9
][
26
]
=
32800
expected_grid_map
[
10
][
6
]
=
16386
expected_grid_map
[
10
][
7
]
=
1025
expected_grid_map
[
10
][
8
]
=
1025
expected_grid_map
[
10
][
9
]
=
1025
expected_grid_map
[
10
][
10
]
=
1025
expected_grid_map
[
10
][
11
]
=
1025
expected_grid_map
[
10
][
12
]
=
1025
expected_grid_map
[
10
][
13
]
=
1025
expected_grid_map
[
10
][
14
]
=
1025
expected_grid_map
[
10
][
15
]
=
1025
expected_grid_map
[
10
][
16
]
=
33825
expected_grid_map
[
10
][
17
]
=
34864
expected_grid_map
[
10
][
26
]
=
32800
expected_grid_map
[
11
][
6
]
=
32800
expected_grid_map
[
11
][
16
]
=
32800
expected_grid_map
[
11
][
17
]
=
32800
expected_grid_map
[
11
][
26
]
=
32800
expected_grid_map
[
12
][
6
]
=
32800
expected_grid_map
[
12
][
16
]
=
32800
expected_grid_map
[
12
][
17
]
=
32800
expected_grid_map
[
12
][
26
]
=
32800
expected_grid_map
[
13
][
6
]
=
32800
expected_grid_map
[
13
][
16
]
=
32800
expected_grid_map
[
13
][
17
]
=
32800
expected_grid_map
[
13
][
26
]
=
32800
expected_grid_map
[
14
][
6
]
=
32800
expected_grid_map
[
14
][
16
]
=
32800
expected_grid_map
[
14
][
17
]
=
32800
expected_grid_map
[
14
][
26
]
=
32800
expected_grid_map
[
15
][
6
]
=
32800
expected_grid_map
[
15
][
16
]
=
32800
expected_grid_map
[
15
][
17
]
=
32800
expected_grid_map
[
15
][
26
]
=
32800
expected_grid_map
[
16
][
6
]
=
32800
expected_grid_map
[
16
][
16
]
=
32800
expected_grid_map
[
16
][
17
]
=
32800
expected_grid_map
[
16
][
26
]
=
32800
expected_grid_map
[
17
][
6
]
=
32800
expected_grid_map
[
17
][
16
]
=
72
expected_grid_map
[
17
][
17
]
=
1097
expected_grid_map
[
17
][
18
]
=
1025
expected_grid_map
[
17
][
19
]
=
1025
expected_grid_map
[
17
][
20
]
=
1025
expected_grid_map
[
17
][
21
]
=
1025
expected_grid_map
[
17
][
22
]
=
1025
expected_grid_map
[
17
][
23
]
=
1025
expected_grid_map
[
17
][
24
]
=
1025
expected_grid_map
[
17
][
25
]
=
1025
expected_grid_map
[
17
][
26
]
=
33825
expected_grid_map
[
17
][
27
]
=
4608
expected_grid_map
[
18
][
6
]
=
32800
expected_grid_map
[
18
][
26
]
=
72
expected_grid_map
[
18
][
27
]
=
52275
expected_grid_map
[
18
][
28
]
=
5633
expected_grid_map
[
18
][
29
]
=
17411
expected_grid_map
[
18
][
30
]
=
1025
expected_grid_map
[
18
][
31
]
=
1025
expected_grid_map
[
18
][
32
]
=
256
expected_grid_map
[
19
][
6
]
=
32800
expected_grid_map
[
19
][
25
]
=
16386
expected_grid_map
[
19
][
26
]
=
1025
expected_grid_map
[
19
][
27
]
=
2136
expected_grid_map
[
19
][
28
]
=
1097
expected_grid_map
[
19
][
29
]
=
1097
expected_grid_map
[
19
][
30
]
=
5633
expected_grid_map
[
19
][
31
]
=
1025
expected_grid_map
[
19
][
32
]
=
256
expected_grid_map
[
20
][
6
]
=
32800
expected_grid_map
[
20
][
25
]
=
32800
expected_grid_map
[
20
][
26
]
=
16386
expected_grid_map
[
20
][
27
]
=
17411
expected_grid_map
[
20
][
28
]
=
1025
expected_grid_map
[
20
][
29
]
=
1025
expected_grid_map
[
20
][
30
]
=
3089
expected_grid_map
[
20
][
31
]
=
1025
expected_grid_map
[
20
][
32
]
=
256
expected_grid_map
[
21
][
6
]
=
32800
expected_grid_map
[
21
][
16
]
=
16386
expected_grid_map
[
21
][
17
]
=
1025
expected_grid_map
[
21
][
18
]
=
1025
expected_grid_map
[
21
][
19
]
=
1025
expected_grid_map
[
21
][
20
]
=
1025
expected_grid_map
[
21
][
21
]
=
1025
expected_grid_map
[
21
][
22
]
=
1025
expected_grid_map
[
21
][
23
]
=
1025
expected_grid_map
[
21
][
24
]
=
1025
expected_grid_map
[
21
][
25
]
=
33825
expected_grid_map
[
21
][
26
]
=
33825
expected_grid_map
[
21
][
27
]
=
2064
expected_grid_map
[
22
][
6
]
=
32800
expected_grid_map
[
22
][
16
]
=
32800
expected_grid_map
[
22
][
25
]
=
32800
expected_grid_map
[
22
][
26
]
=
32800
expected_grid_map
[
23
][
6
]
=
32800
expected_grid_map
[
23
][
16
]
=
32800
expected_grid_map
[
23
][
25
]
=
32800
expected_grid_map
[
23
][
26
]
=
32800
expected_grid_map
[
24
][
6
]
=
32800
expected_grid_map
[
24
][
16
]
=
32800
expected_grid_map
[
24
][
25
]
=
32800
expected_grid_map
[
24
][
26
]
=
32800
expected_grid_map
[
25
][
6
]
=
32800
expected_grid_map
[
25
][
16
]
=
32800
expected_grid_map
[
25
][
25
]
=
32800
expected_grid_map
[
25
][
26
]
=
32800
expected_grid_map
[
26
][
6
]
=
32800
expected_grid_map
[
26
][
16
]
=
32800
expected_grid_map
[
26
][
25
]
=
32800
expected_grid_map
[
26
][
26
]
=
32800
expected_grid_map
[
27
][
6
]
=
72
expected_grid_map
[
27
][
7
]
=
1025
expected_grid_map
[
27
][
8
]
=
1025
expected_grid_map
[
27
][
9
]
=
17411
expected_grid_map
[
27
][
10
]
=
1025
expected_grid_map
[
27
][
11
]
=
1025
expected_grid_map
[
27
][
12
]
=
1025
expected_grid_map
[
27
][
13
]
=
1025
expected_grid_map
[
27
][
14
]
=
1025
expected_grid_map
[
27
][
15
]
=
4608
expected_grid_map
[
27
][
16
]
=
72
expected_grid_map
[
27
][
17
]
=
17411
expected_grid_map
[
27
][
18
]
=
5633
expected_grid_map
[
27
][
19
]
=
1025
expected_grid_map
[
27
][
20
]
=
1025
expected_grid_map
[
27
][
21
]
=
1025
expected_grid_map
[
27
][
22
]
=
1025
expected_grid_map
[
27
][
23
]
=
1025
expected_grid_map
[
27
][
24
]
=
1025
expected_grid_map
[
27
][
25
]
=
33825
expected_grid_map
[
27
][
26
]
=
2064
expected_grid_map
[
28
][
6
]
=
4
expected_grid_map
[
28
][
7
]
=
1025
expected_grid_map
[
28
][
8
]
=
1025
expected_grid_map
[
28
][
9
]
=
3089
expected_grid_map
[
28
][
10
]
=
1025
expected_grid_map
[
28
][
11
]
=
1025
expected_grid_map
[
28
][
12
]
=
1025
expected_grid_map
[
28
][
13
]
=
1025
expected_grid_map
[
28
][
14
]
=
4608
expected_grid_map
[
28
][
15
]
=
72
expected_grid_map
[
28
][
16
]
=
1025
expected_grid_map
[
28
][
17
]
=
2136
expected_grid_map
[
28
][
18
]
=
1097
expected_grid_map
[
28
][
19
]
=
5633
expected_grid_map
[
28
][
20
]
=
5633
expected_grid_map
[
28
][
21
]
=
1025
expected_grid_map
[
28
][
22
]
=
256
expected_grid_map
[
28
][
25
]
=
32800
expected_grid_map
[
29
][
6
]
=
4
expected_grid_map
[
29
][
7
]
=
5633
expected_grid_map
[
29
][
8
]
=
20994
expected_grid_map
[
29
][
9
]
=
5633
expected_grid_map
[
29
][
10
]
=
1025
expected_grid_map
[
29
][
11
]
=
1025
expected_grid_map
[
29
][
12
]
=
1025
expected_grid_map
[
29
][
13
]
=
1025
expected_grid_map
[
29
][
14
]
=
1097
expected_grid_map
[
29
][
15
]
=
5633
expected_grid_map
[
29
][
16
]
=
1025
expected_grid_map
[
29
][
17
]
=
17411
expected_grid_map
[
29
][
18
]
=
5633
expected_grid_map
[
29
][
19
]
=
1097
expected_grid_map
[
29
][
20
]
=
3089
expected_grid_map
[
29
][
21
]
=
20994
expected_grid_map
[
29
][
22
]
=
1025
expected_grid_map
[
29
][
23
]
=
1025
expected_grid_map
[
29
][
24
]
=
1025
expected_grid_map
[
29
][
25
]
=
2064
expected_grid_map
[
30
][
6
]
=
16386
expected_grid_map
[
30
][
7
]
=
38505
expected_grid_map
[
30
][
8
]
=
3089
expected_grid_map
[
30
][
9
]
=
1097
expected_grid_map
[
30
][
10
]
=
1025
expected_grid_map
[
30
][
11
]
=
1025
expected_grid_map
[
30
][
12
]
=
256
expected_grid_map
[
30
][
15
]
=
32800
expected_grid_map
[
30
][
16
]
=
16386
expected_grid_map
[
30
][
17
]
=
52275
expected_grid_map
[
30
][
18
]
=
1097
expected_grid_map
[
30
][
19
]
=
1025
expected_grid_map
[
30
][
20
]
=
1025
expected_grid_map
[
30
][
21
]
=
3089
expected_grid_map
[
30
][
22
]
=
256
expected_grid_map
[
31
][
6
]
=
32800
expected_grid_map
[
31
][
7
]
=
32800
expected_grid_map
[
31
][
15
]
=
72
expected_grid_map
[
31
][
16
]
=
37408
expected_grid_map
[
31
][
17
]
=
32800
expected_grid_map
[
32
][
6
]
=
32800
expected_grid_map
[
32
][
7
]
=
32800
expected_grid_map
[
32
][
16
]
=
32800
expected_grid_map
[
32
][
17
]
=
32800
expected_grid_map
[
33
][
6
]
=
32800
expected_grid_map
[
33
][
7
]
=
32800
expected_grid_map
[
33
][
16
]
=
32800
expected_grid_map
[
33
][
17
]
=
32800
expected_grid_map
[
34
][
6
]
=
32800
expected_grid_map
[
34
][
7
]
=
32800
expected_grid_map
[
34
][
16
]
=
32800
expected_grid_map
[
34
][
17
]
=
32800
expected_grid_map
[
35
][
6
]
=
32800
expected_grid_map
[
35
][
7
]
=
32800
expected_grid_map
[
35
][
16
]
=
32800
expected_grid_map
[
35
][
17
]
=
32800
expected_grid_map
[
36
][
6
]
=
32800
expected_grid_map
[
36
][
7
]
=
32800
expected_grid_map
[
36
][
16
]
=
32800
expected_grid_map
[
36
][
17
]
=
32800
expected_grid_map
[
37
][
6
]
=
72
expected_grid_map
[
37
][
7
]
=
1097
expected_grid_map
[
37
][
8
]
=
1025
expected_grid_map
[
37
][
9
]
=
1025
expected_grid_map
[
37
][
10
]
=
1025
expected_grid_map
[
37
][
11
]
=
1025
expected_grid_map
[
37
][
12
]
=
1025
expected_grid_map
[
37
][
13
]
=
1025
expected_grid_map
[
37
][
14
]
=
1025
expected_grid_map
[
37
][
15
]
=
1025
expected_grid_map
[
37
][
16
]
=
33897
expected_grid_map
[
37
][
17
]
=
37408
expected_grid_map
[
38
][
16
]
=
72
expected_grid_map
[
38
][
17
]
=
52275
expected_grid_map
[
38
][
18
]
=
5633
expected_grid_map
[
38
][
19
]
=
17411
expected_grid_map
[
38
][
20
]
=
1025
expected_grid_map
[
38
][
21
]
=
1025
expected_grid_map
[
38
][
22
]
=
256
expected_grid_map
[
39
][
16
]
=
4
expected_grid_map
[
39
][
17
]
=
52275
expected_grid_map
[
39
][
18
]
=
3089
expected_grid_map
[
39
][
19
]
=
1097
expected_grid_map
[
39
][
20
]
=
5633
expected_grid_map
[
39
][
21
]
=
1025
expected_grid_map
[
39
][
22
]
=
256
expected_grid_map
[
40
][
16
]
=
4
expected_grid_map
[
40
][
17
]
=
1097
expected_grid_map
[
40
][
18
]
=
1025
expected_grid_map
[
40
][
19
]
=
1025
expected_grid_map
[
40
][
20
]
=
3089
expected_grid_map
[
40
][
21
]
=
1025
expected_grid_map
[
40
][
22
]
=
256
assert
np
.
array_equal
(
env
.
rail
.
grid
,
expected_grid_map
),
"
actual={}, expected={}
"
.
format
(
env
.
rail
.
grid
,
expected_grid_map
)
s0
=
0
s1
=
0
for
a
in
range
(
env
.
get_num_agents
()):
...
...
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tests/test_flatland_envs_sparse_rail_generator.py
+
680
−
3
View file @
5ce5d7e4
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