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Flatland
Flatland
Commits
2011d6b2
Commit
2011d6b2
authored
5 years ago
by
Erik Nygren
Browse files
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Plain Diff
This adresses issue
#263
by adding tests to see that malfunciton works as expected
parent
e350e012
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1 merge request
!246
Malfunction last step missed
Changes
1
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1 changed file
tests/test_flatland_malfunction.py
+61
-13
61 additions, 13 deletions
tests/test_flatland_malfunction.py
with
61 additions
and
13 deletions
tests/test_flatland_malfunction.py
+
61
−
13
View file @
2011d6b2
...
...
@@ -156,14 +156,20 @@ def test_malfunction_process_statistically():
env
.
agents
[
0
].
target
=
(
0
,
0
)
# Next line only for test generation
#agent_malfunction_list = [[] for i in range(20)]
agent_malfunction_list
=
[[
0
,
0
,
0
,
0
,
5
,
5
,
0
,
0
,
0
,
0
],
[
0
,
0
,
0
,
0
,
5
,
5
,
0
,
0
,
0
,
0
],
[
0
,
0
,
0
,
0
,
4
,
4
,
0
,
0
,
0
,
0
],
[
0
,
0
,
0
,
0
,
3
,
3
,
0
,
0
,
0
,
0
],
[
0
,
0
,
0
,
0
,
2
,
2
,
0
,
0
,
0
,
5
],
[
0
,
0
,
0
,
0
,
1
,
1
,
5
,
0
,
0
,
4
],
[
0
,
0
,
0
,
5
,
0
,
0
,
4
,
5
,
0
,
3
],
[
5
,
0
,
0
,
4
,
0
,
0
,
3
,
4
,
0
,
2
],
[
4
,
5
,
0
,
3
,
5
,
5
,
2
,
3
,
5
,
1
],
[
3
,
4
,
0
,
2
,
4
,
4
,
1
,
2
,
4
,
0
],
[
2
,
3
,
5
,
1
,
3
,
3
,
0
,
1
,
3
,
0
],
[
1
,
2
,
4
,
0
,
2
,
2
,
0
,
0
,
2
,
0
],
[
0
,
1
,
3
,
0
,
1
,
1
,
5
,
0
,
1
,
0
],
[
0
,
0
,
2
,
0
,
0
,
0
,
4
,
0
,
0
,
0
],
[
5
,
0
,
1
,
0
,
0
,
0
,
3
,
5
,
0
,
5
],
[
4
,
0
,
0
,
0
,
5
,
0
,
2
,
4
,
0
,
4
],
[
3
,
0
,
0
,
0
,
4
,
0
,
1
,
3
,
5
,
3
],
[
2
,
0
,
0
,
0
,
3
,
0
,
0
,
2
,
4
,
2
],
[
1
,
0
,
5
,
5
,
2
,
0
,
0
,
1
,
3
,
1
],
[
0
,
5
,
4
,
4
,
1
,
0
,
5
,
0
,
2
,
0
]]
# agent_malfunction_list = [[] for i in range(20)]
agent_malfunction_list
=
[[
0
,
0
,
0
,
0
,
5
,
5
,
0
,
0
,
0
,
0
],
[
0
,
0
,
0
,
0
,
5
,
5
,
0
,
0
,
0
,
0
],
[
0
,
0
,
0
,
0
,
4
,
4
,
0
,
0
,
0
,
0
],
[
0
,
0
,
0
,
0
,
3
,
3
,
0
,
0
,
0
,
0
],
[
0
,
0
,
0
,
0
,
2
,
2
,
0
,
0
,
0
,
5
],
[
0
,
0
,
0
,
0
,
1
,
1
,
5
,
0
,
0
,
4
],
[
0
,
0
,
0
,
5
,
0
,
0
,
4
,
5
,
0
,
3
],
[
5
,
0
,
0
,
4
,
0
,
0
,
3
,
4
,
0
,
2
],
[
4
,
5
,
0
,
3
,
5
,
5
,
2
,
3
,
5
,
1
],
[
3
,
4
,
0
,
2
,
4
,
4
,
1
,
2
,
4
,
0
],
[
2
,
3
,
5
,
1
,
3
,
3
,
0
,
1
,
3
,
0
],
[
1
,
2
,
4
,
0
,
2
,
2
,
0
,
0
,
2
,
0
],
[
0
,
1
,
3
,
0
,
1
,
1
,
5
,
0
,
1
,
0
],
[
0
,
0
,
2
,
0
,
0
,
0
,
4
,
0
,
0
,
0
],
[
5
,
0
,
1
,
0
,
0
,
0
,
3
,
5
,
0
,
5
],
[
4
,
0
,
0
,
0
,
5
,
0
,
2
,
4
,
0
,
4
],
[
3
,
0
,
0
,
0
,
4
,
0
,
1
,
3
,
5
,
3
],
[
2
,
0
,
0
,
0
,
3
,
0
,
0
,
2
,
4
,
2
],
[
1
,
0
,
5
,
5
,
2
,
0
,
0
,
1
,
3
,
1
],
[
0
,
5
,
4
,
4
,
1
,
0
,
5
,
0
,
2
,
0
]]
for
step
in
range
(
20
):
action_dict
:
Dict
[
int
,
RailEnvActions
]
=
{}
...
...
@@ -175,7 +181,7 @@ def test_malfunction_process_statistically():
assert
env
.
agents
[
agent_idx
].
malfunction_data
[
'
malfunction
'
]
==
agent_malfunction_list
[
step
][
agent_idx
]
env
.
step
(
action_dict
)
# For generating test onlz
#print(agent_malfunction_list)
#
print(agent_malfunction_list)
def
test_malfunction_before_entry
():
...
...
@@ -213,6 +219,7 @@ def test_malfunction_before_entry():
assert
env
.
agents
[
8
].
malfunction_data
[
'
malfunction
'
]
==
0
assert
env
.
agents
[
9
].
malfunction_data
[
'
malfunction
'
]
==
0
def
test_next_malfunction_counter
():
"""
Test that the next malfunction occurs when desired
...
...
@@ -237,7 +244,7 @@ def test_next_malfunction_counter():
env
.
agents
[
0
].
malfunction_data
[
'
next_malfunction
'
]
=
5
env
.
agents
[
0
].
malfunction_data
[
'
malfunction_rate
'
]
=
5
env
.
agents
[
0
].
malfunction_data
[
'
malfunction
'
]
=
0
env
.
agents
[
0
].
target
=
(
0
,
0
),
#
Move the target out of range
env
.
agents
[
0
].
target
=
(
0
,
0
),
#
Move the target out of range
print
(
env
.
agents
[
0
].
position
,
env
.
agents
[
0
].
malfunction_data
[
'
next_malfunction
'
])
for
time_step
in
range
(
1
,
6
):
...
...
@@ -248,6 +255,47 @@ def test_next_malfunction_counter():
assert
env
.
agents
[
0
].
malfunction_data
[
'
next_malfunction
'
]
==
5
-
time_step
def
test_malfunction_values_and_behavior
():
"""
Test that the next malfunction occurs when desired.
Returns
-------
"""
# Set fixed malfunction duration for this test
rail
,
rail_map
=
make_simple_rail2
()
action_dict
:
Dict
[
int
,
RailEnvActions
]
=
{}
stochastic_data
=
{
'
prop_malfunction
'
:
1.
,
'
malfunction_rate
'
:
5
,
'
min_duration
'
:
10
,
'
max_duration
'
:
10
}
env
=
RailEnv
(
width
=
25
,
height
=
30
,
rail_generator
=
rail_from_grid_transition_map
(
rail
),
schedule_generator
=
random_schedule_generator
(
seed
=
2
),
# seed 12
stochastic_data
=
stochastic_data
,
number_of_agents
=
1
,
random_seed
=
1
,
)
# reset to initialize agents_static
env
.
reset
(
False
,
False
,
activate_agents
=
True
,
random_seed
=
10
)
env
.
agents
[
0
].
malfunction_data
[
'
next_malfunction
'
]
=
5
env
.
agents
[
0
].
malfunction_data
[
'
malfunction_rate
'
]
=
50
env
.
agents
[
0
].
malfunction_data
[
'
malfunction
'
]
=
0
env
.
agents
[
0
].
target
=
(
0
,
0
),
# Move the target out of range
print
(
env
.
agents
[
0
].
position
,
env
.
agents
[
0
].
malfunction_data
[
'
next_malfunction
'
])
for
time_step
in
range
(
1
,
16
):
# Move in the env
env
.
step
(
action_dict
)
print
(
time_step
)
# Check that next_step decreases as expected
if
env
.
agents
[
0
].
malfunction_data
[
'
malfunction
'
]
<
1
:
assert
env
.
agents
[
0
].
malfunction_data
[
'
next_malfunction
'
]
==
np
.
clip
(
5
-
time_step
,
0
,
100
)
else
:
assert
env
.
agents
[
0
].
malfunction_data
[
'
malfunction
'
]
==
np
.
clip
(
10
-
(
time_step
-
6
),
0
,
100
)
def
test_initial_malfunction
():
stochastic_data
=
{
'
prop_malfunction
'
:
1.
,
# Percentage of defective agents
...
...
@@ -295,15 +343,15 @@ def test_initial_malfunction():
direction
=
Grid4TransitionsEnum
.
EAST
,
action
=
RailEnvActions
.
MOVE_FORWARD
,
malfunction
=
1
,
reward
=
env
.
step_penalty
*
1.0
reward
=
env
.
step_penalty
*
1.0
),
# malfunctioning ends: starting and running at speed 1.0
),
# malfunctioning ends: starting and running at speed 1.0
Replay
(
position
=
(
3
,
2
),
direction
=
Grid4TransitionsEnum
.
EAST
,
action
=
RailEnvActions
.
MOVE_FORWARD
,
malfunction
=
0
,
reward
=
env
.
start_penalty
+
env
.
step_penalty
*
1.0
# running at speed 1.0
reward
=
env
.
start_penalty
+
env
.
step_penalty
*
1.0
# running at speed 1.0
),
Replay
(
position
=
(
3
,
3
),
...
...
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