-
Notifications
You must be signed in to change notification settings - Fork 1
/
pytest.py
212 lines (170 loc) · 5.61 KB
/
pytest.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
from random import randrange
from time import time_ns
from rlbot_flatbuffers import *
class MyVector(Vector3):
def __add__(self, other):
return MyVector(self.x + other.x, self.y + other.y, self.z + other.z)
def random_string():
return "".join(chr(randrange(32, 127)) for _ in range(64))
def random_player_config():
return PlayerConfiguration(
variety=Psyonix(PsyonixSkill.AllStar),
name=random_string(),
root_dir=random_string(),
run_command=random_string(),
loadout=PlayerLoadout(
loadout_paint=LoadoutPaint(),
primary_color_lookup=Color(),
secondary_color_lookup=Color(),
),
)
def random_script_config():
return ScriptConfiguration(
location=random_string(),
run_command=random_string(),
)
if __name__ == "__main__":
vec1 = MyVector(1, 2, 3)
vec2 = Vector3(4, 5, 6)
print(vec1 + vec2)
player_info = PlayerInfo(accolades=["MVP", "Hat Trick"])
eval(repr(player_info))
print()
connection_settings = ConnectionSettings("rlbot/abot", True, close_after_match=True)
print(hash(connection_settings))
print(connection_settings)
eval(repr(connection_settings))
print()
dgs = DesiredGameState(
game_info_state=DesiredGameInfoState(game_speed=2, end_match=Bool())
)
match dgs.game_info_state:
case DesiredGameInfoState():
dgs.game_info_state.world_gravity_z = Float(-650)
case _:
assert False
match dgs.game_info_state.end_match:
case Bool(val):
dgs.game_info_state.end_match.val = not val
case _:
assert False
dgs.console_commands = [ConsoleCommand("dump_items")]
dgs.ball_states = [DesiredBallState()]
print(hash(dgs))
print(dgs)
eval(repr(dgs))
print()
print(repr(RenderMessage()))
render_type = RenderMessage(
Line3D(
RenderAnchor(),
RenderAnchor(relative=CarAnchor(0, MyVector(1, 1, 1))),
Color(255),
)
)
if isinstance(render_type.variety.item, Line3D):
render_type.variety.item.color.a = 150
else:
raise ValueError("Expected Line3D")
print(hash(render_type))
print(render_type)
eval(repr(render_type))
print()
comm = MatchComm(3, 1, False, "Ready!", b"Hello, world!")
print(hash(comm))
print(comm)
eval(repr(comm))
print(comm.content.decode("utf-8"))
print()
air_state = AirState.Dodging
print(hash(air_state))
match air_state:
case AirState.Dodging:
pass
case _:
assert False
try:
AirState(8)
except ValueError as e:
print(e)
print()
invalid_data = comm.pack()
try:
RenderMessage.unpack(invalid_data)
except InvalidFlatbuffer as e:
print(e)
match_settings = MatchSettings(
game_path=random_string(),
game_map_upk=random_string(),
player_configurations=[random_player_config() for _ in range(128)],
script_configurations=[random_script_config() for _ in range(8)],
mutator_settings=MutatorSettings(),
)
data = match_settings.pack()
print(f"MatchSettings size: {len(data)} bytes")
renderPolyLine = RenderMessage(
PolyLine3D(
[Vector3() for _ in range(2048)],
Color(a=255),
),
)
match renderPolyLine.variety.item:
case PolyLine3D(points, clr):
assert len(points) == 2048
assert clr.a == 255
case _:
assert False
data = renderPolyLine.pack()
print(f"RenderMessage size: {len(data)} bytes")
print()
ballPred = BallPrediction([PredictionSlice(1) for _ in range(5 * 120)])
data = ballPred.pack()
print(f"BallPrediction size: {len(data)} bytes")
print()
print("Running quick benchmark...")
num_trials = 10_000
total_make_time = 0
total_pack_time = 0
total_unpack_time = 0
for _ in range(num_trials):
start = time_ns()
desired_game_state = DesiredGameState(
[
DesiredBallState(
DesiredPhysics(
Vector3Partial(0, 0, 0),
RotatorPartial(0, 0, 0),
Vector3Partial(0, 0, 0),
Vector3Partial(0, 0, 0),
)
)
for _ in range(16)
],
[
DesiredCarState(
DesiredPhysics(
Vector3Partial(0, 0, 0),
RotatorPartial(0, 0, 0),
Vector3Partial(0, 0, 0),
Vector3Partial(0, 0, 0),
),
100,
)
for _ in range(16)
],
game_info_state=DesiredGameInfoState(
game_speed=1, world_gravity_z=-650, end_match=True
),
console_commands=[ConsoleCommand("dump_items")],
)
total_make_time += time_ns() - start
start = time_ns()
packed_bytes = desired_game_state.pack()
total_pack_time += time_ns() - start
start = time_ns()
DesiredGameState.unpack(packed_bytes)
total_unpack_time += time_ns() - start
print(f"Average time to make: {total_make_time / num_trials / 1_000:.2f}us")
print(f"Average time to pack: {total_pack_time / num_trials / 1_000:.2f}us")
print(f"Average time to unpack: {total_unpack_time / num_trials / 1_000:.2f}us")
print(f"Total time: {(total_pack_time + total_unpack_time) / 1_000_000_000:.3f}s")