Unity 机器学习代理工具包 (ML-Agents) 是一个开源项目,它使游戏和模拟能够作为训练智能代理的环境。
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from unittest import mock
from mlagents_envs import timers
@timers.timed
def decorated_func(x: int = 0, y: float = 1.0) -> str:
timers.set_gauge("my_gauge", x + y)
return f"{x} + {y} = {x + y}"
def test_timers() -> None:
with mock.patch(
"mlagents_envs.timers._global_timer_stack", new_callable=timers.TimerStack
) as test_timer:
# First, run some simple code
with timers.hierarchical_timer("top_level"):
for i in range(3):
with timers.hierarchical_timer("multiple"):
decorated_func(i, i)
raised = False
try:
with timers.hierarchical_timer("raises"):
raise RuntimeError("timeout!")
except RuntimeError:
raised = True
with timers.hierarchical_timer("post_raise"):
assert raised
pass
# We expect the hierarchy to look like
# (root)
# top_level
# multiple
# decorated_func
# raises
# post_raise
root = test_timer.root
assert root.children.keys() == {"top_level"}
top_level = root.children["top_level"]
assert top_level.children.keys() == {"multiple", "raises", "post_raise"}
# make sure the scope was closed properly when the exception was raised
raises = top_level.children["raises"]
assert raises.count == 1
multiple = top_level.children["multiple"]
assert multiple.count == 3
timer_tree = test_timer.get_timing_tree()
expected_tree = {
"name": "root",
"total": mock.ANY,
"count": 1,
"self": mock.ANY,
"children": [
{
"name": "top_level",
"total": mock.ANY,
"count": 1,
"self": mock.ANY,
"children": [
{
"name": "multiple",
"total": mock.ANY,
"count": 3,
"self": mock.ANY,
"children": [
{
"name": "decorated_func",
"total": mock.ANY,
"count": 3,
"self": mock.ANY,
}
],
},
{
"name": "raises",
"total": mock.ANY,
"count": 1,
"self": mock.ANY,
},
{
"name": "post_raise",
"total": mock.ANY,
"count": 1,
"self": mock.ANY,
},
],
}
],
"gauges": [
{"name": "my_gauge", "value": 4.0, "max": 4.0, "min": 0.0, "count": 3}
],
}
assert timer_tree == expected_tree