def test_message_string():
val = "mlagents!"
msg_out = OutgoingMessage()
msg_out.write_string(val)
msg_in = IncomingMessage(msg_out.buffer)
read_val = msg_in.read_string()
assert val == read_val
def set_float_parameter(self, key: str, value: float) -> None:
"""
Sets a float environment parameter in the Unity Environment.
:param key: The string identifier of the parameter.
:param value: The float value of the parameter.
"""
msg = OutgoingMessage()
msg.write_string(key)
msg.write_int32(self.EnvironmentDataTypes.FLOAT)
msg.write_float32(value)
super().queue_message_to_send(msg)
def set_property(self, key: str, value: float) -> None:
"""
Sets a property in the Unity Environment.
:param key: The string identifier of the property.
:param value: The float value of the property.
"""
self._float_properties[key] = value
msg = OutgoingMessage()
msg.write_string(key)
msg.write_float32(value)
super().queue_message_to_send(msg)
def test_message_string():
val = "mlagents!"
msg_out = OutgoingMessage()
msg_out.write_string(val)
msg_in = IncomingMessage(msg_out.buffer)
read_val = msg_in.read_string()
assert val == read_val
# Test reading with defaults
assert "" == msg_in.read_string()
assert val == msg_in.read_string(default_value=val)
def test_stats_channel():
receiver = StatsSideChannel()
message = OutgoingMessage()
message.write_string("stats-1")
message.write_float32(42.0)
message.write_int32(1) # corresponds to StatsAggregationMethod.MOST_RECENT
receiver.on_message_received(IncomingMessage(message.buffer))
stats = receiver.get_and_reset_stats()
assert len(stats) == 1
val, method = stats["stats-1"][0]
assert val - 42.0 < 1e-8
assert method == StatsAggregationMethod.MOST_RECENT
def set_gaussian_sampler_parameters(self, key: str, mean: float,
st_dev: float, seed: int) -> None:
"""
Sets a gaussian environment parameter sampler.
:param key: The string identifier of the parameter.
:param mean: The mean of the sampling distribution.
:param st_dev: The standard deviation of the sampling distribution.
:param seed: The random seed to initialize the sampler.
"""
msg = OutgoingMessage()
msg.write_string(key)
msg.write_int32(self.EnvironmentDataTypes.SAMPLER)
msg.write_int32(seed)
msg.write_int32(self.SamplerTypes.GAUSSIAN)
msg.write_float32(mean)
msg.write_float32(st_dev)
super().queue_message_to_send(msg)
def set_uniform_sampler_parameters(self, key: str, min_value: float,
max_value: float, seed: int) -> None:
"""
Sets a uniform environment parameter sampler.
:param key: The string identifier of the parameter.
:param min_value: The minimum of the sampling distribution.
:param max_value: The maximum of the sampling distribution.
:param seed: The random seed to initialize the sampler.
"""
msg = OutgoingMessage()
msg.write_string(key)
msg.write_int32(self.EnvironmentDataTypes.SAMPLER)
msg.write_int32(seed)
msg.write_int32(self.SamplerTypes.UNIFORM)
msg.write_float32(min_value)
msg.write_float32(max_value)
super().queue_message_to_send(msg)
def set_multirangeuniform_sampler_parameters(self, key: str,
intervals: List[Tuple[float,
float]],
seed: int) -> None:
"""
Sets a multirangeuniform environment parameter sampler.
:param key: The string identifier of the parameter.
:param intervals: The lists of min and max that define each uniform distribution.
:param seed: The random seed to initialize the sampler.
"""
msg = OutgoingMessage()
msg.write_string(key)
msg.write_int32(self.EnvironmentDataTypes.SAMPLER)
msg.write_int32(seed)
msg.write_int32(self.SamplerTypes.MULTIRANGEUNIFORM)
flattened_intervals = [
value for interval in intervals for value in interval
]
msg.write_float32_list(flattened_intervals)
super().queue_message_to_send(msg)