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ppo-Pyramids-Training

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ppo-Pyramids-Training
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# @generated by generate_proto_mypy_stubs.py.  Do not edit!
import sys
from google.protobuf.descriptor import (
    Descriptor as google___protobuf___descriptor___Descriptor,
)

from google.protobuf.internal.containers import (
    RepeatedScalarFieldContainer as google___protobuf___internal___containers___RepeatedScalarFieldContainer,
)

from google.protobuf.message import (
    Message as google___protobuf___message___Message,
)

from mlagents_envs.communicator_objects.space_type_pb2 import (
    SpaceTypeProto as mlagents_envs___communicator_objects___space_type_pb2___SpaceTypeProto,
)

from typing import (
    Iterable as typing___Iterable,
    Optional as typing___Optional,
    Text as typing___Text,
)

from typing_extensions import (
    Literal as typing_extensions___Literal,
)


builtin___bool = bool
builtin___bytes = bytes
builtin___float = float
builtin___int = int


class ActionSpecProto(google___protobuf___message___Message):
    DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
    num_continuous_actions = ... # type: builtin___int
    num_discrete_actions = ... # type: builtin___int
    discrete_branch_sizes = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[builtin___int]
    action_descriptions = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[typing___Text]

    def __init__(self,
        *,
        num_continuous_actions : typing___Optional[builtin___int] = None,
        num_discrete_actions : typing___Optional[builtin___int] = None,
        discrete_branch_sizes : typing___Optional[typing___Iterable[builtin___int]] = None,
        action_descriptions : typing___Optional[typing___Iterable[typing___Text]] = None,
        ) -> None: ...
    @classmethod
    def FromString(cls, s: builtin___bytes) -> ActionSpecProto: ...
    def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
    def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
    if sys.version_info >= (3,):
        def ClearField(self, field_name: typing_extensions___Literal[u"action_descriptions",u"discrete_branch_sizes",u"num_continuous_actions",u"num_discrete_actions"]) -> None: ...
    else:
        def ClearField(self, field_name: typing_extensions___Literal[u"action_descriptions",b"action_descriptions",u"discrete_branch_sizes",b"discrete_branch_sizes",u"num_continuous_actions",b"num_continuous_actions",u"num_discrete_actions",b"num_discrete_actions"]) -> None: ...

class BrainParametersProto(google___protobuf___message___Message):
    DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
    vector_action_size_deprecated = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[builtin___int]
    vector_action_descriptions_deprecated = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[typing___Text]
    vector_action_space_type_deprecated = ... # type: mlagents_envs___communicator_objects___space_type_pb2___SpaceTypeProto
    brain_name = ... # type: typing___Text
    is_training = ... # type: builtin___bool

    @property
    def action_spec(self) -> ActionSpecProto: ...

    def __init__(self,
        *,
        vector_action_size_deprecated : typing___Optional[typing___Iterable[builtin___int]] = None,
        vector_action_descriptions_deprecated : typing___Optional[typing___Iterable[typing___Text]] = None,
        vector_action_space_type_deprecated : typing___Optional[mlagents_envs___communicator_objects___space_type_pb2___SpaceTypeProto] = None,
        brain_name : typing___Optional[typing___Text] = None,
        is_training : typing___Optional[builtin___bool] = None,
        action_spec : typing___Optional[ActionSpecProto] = None,
        ) -> None: ...
    @classmethod
    def FromString(cls, s: builtin___bytes) -> BrainParametersProto: ...
    def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
    def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
    if sys.version_info >= (3,):
        def HasField(self, field_name: typing_extensions___Literal[u"action_spec"]) -> builtin___bool: ...
        def ClearField(self, field_name: typing_extensions___Literal[u"action_spec",u"brain_name",u"is_training",u"vector_action_descriptions_deprecated",u"vector_action_size_deprecated",u"vector_action_space_type_deprecated"]) -> None: ...
    else:
        def HasField(self, field_name: typing_extensions___Literal[u"action_spec",b"action_spec"]) -> builtin___bool: ...
        def ClearField(self, field_name: typing_extensions___Literal[u"action_spec",b"action_spec",u"brain_name",b"brain_name",u"is_training",b"is_training",u"vector_action_descriptions_deprecated",b"vector_action_descriptions_deprecated",u"vector_action_size_deprecated",b"vector_action_size_deprecated",u"vector_action_space_type_deprecated",b"vector_action_space_type_deprecated"]) -> None: ...