

'''simple docstring'''





from ....configuration_utils import PretrainedConfig
from ....utils import logging


UpperCamelCase_    						=       logging.get_logger(__name__)

UpperCamelCase_    						=       {
    """CarlCochet/trajectory-transformer-halfcheetah-medium-v2""": (
        """https://huggingface.co/CarlCochet/trajectory-transformer-halfcheetah-medium-v2/resolve/main/config.json"""
    ),
    # See all TrajectoryTransformer models at https://huggingface.co/models?filter=trajectory_transformer
}





class 		__SCREAMING_SNAKE_CASE							(			lowercase__      ):
				lowerCamelCase_		       =    'trajectory_transformer'
				lowerCamelCase_		       =    ['past_key_values']
				lowerCamelCase_		       =    {
				    'hidden_size': 'n_embd',
				    'num_attention_heads': 'n_head',
				    'num_hidden_layers': 'n_layer',
				}







				def __init__(       self     :		Optional[Any]		,					UpperCAmelCase__     :		List[str]=100		,					UpperCAmelCase__     :		Optional[int]=5		,					UpperCAmelCase__     :		int=1		,					UpperCAmelCase__     :		Any=1		,					UpperCAmelCase__     :		Optional[int]=249		,					UpperCAmelCase__     :		Dict=6		,					UpperCAmelCase__     :		Union[str, Any]=17		,					UpperCAmelCase__     :		Tuple=25		,					UpperCAmelCase__     :		Dict=4		,					UpperCAmelCase__     :		List[str]=4		,					UpperCAmelCase__     :		str=128		,					UpperCAmelCase__     :		Optional[int]=0.1		,					UpperCAmelCase__     :		Union[str, Any]=0.1		,					UpperCAmelCase__     :		str=0.1		,					UpperCAmelCase__     :		str=0.00_06		,					UpperCAmelCase__     :		Optional[int]=512		,					UpperCAmelCase__     :		int=0.02		,					UpperCAmelCase__     :		List[Any]=1E-12		,					UpperCAmelCase__     :		str=1		,					UpperCAmelCase__     :		List[Any]=True		,					UpperCAmelCase__     :		Optional[Any]=1		,					UpperCAmelCase__     :		Any=50256		,					UpperCAmelCase__     :		Any=50256		,					**UpperCAmelCase__     :		Union[str, Any]		,					):
										'''simple docstring'''
										lowercase :							str    		=vocab_size
										lowercase :							Tuple    		=action_weight
										lowercase :							Dict    		=reward_weight
										lowercase :							str    		=value_weight
										lowercase :							Tuple    		=max_position_embeddings
										lowercase :							Any    		=block_size
										lowercase :							Dict    		=action_dim
										lowercase :							List[str]    		=observation_dim
										lowercase :							List[Any]    		=transition_dim
										lowercase :							Any    		=learning_rate
										lowercase :							Any    		=n_layer
										lowercase :							Any    		=n_head
										lowercase :							int    		=n_embd
										lowercase :							Optional[Any]    		=embd_pdrop
										lowercase :							Tuple    		=attn_pdrop
										lowercase :							Union[str, Any]    		=resid_pdrop
										lowercase :							Optional[int]    		=initializer_range
										lowercase :							Union[str, Any]    		=layer_norm_eps
										lowercase :							Dict    		=kaiming_initializer_range
										lowercase :							Union[str, Any]    		=use_cache
										super().__init__(pad_token_id=UpperCAmelCase__		,					bos_token_id=UpperCAmelCase__		,					eos_token_id=UpperCAmelCase__		,					**UpperCAmelCase__   )








'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCamelCase_    						=       {"""configuration_mbart""": ["""MBART_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MBartConfig""", """MBartOnnxConfig"""]}

try:
							if not is_sentencepiece_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_    						=       ["""MBartTokenizer"""]

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_    						=       ["""MBartTokenizerFast"""]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_    						=       [
							    """MBART_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """MBartForCausalLM""",
							    """MBartForConditionalGeneration""",
							    """MBartForQuestionAnswering""",
							    """MBartForSequenceClassification""",
							    """MBartModel""",
							    """MBartPreTrainedModel""",
							]

try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_    						=       [
							    """TFMBartForConditionalGeneration""",
							    """TFMBartModel""",
							    """TFMBartPreTrainedModel""",
							]

try:
							if not is_flax_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_    						=       [
							    """FlaxMBartForConditionalGeneration""",
							    """FlaxMBartForQuestionAnswering""",
							    """FlaxMBartForSequenceClassification""",
							    """FlaxMBartModel""",
							    """FlaxMBartPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_mbart import MBART_PRETRAINED_CONFIG_ARCHIVE_MAP, MBartConfig, MBartOnnxConfig

							try:
														if not is_sentencepiece_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_mbart import MBartTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_mbart_fast import MBartTokenizerFast

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_mbart import (
														    MBART_PRETRAINED_MODEL_ARCHIVE_LIST,
														    MBartForCausalLM,
														    MBartForConditionalGeneration,
														    MBartForQuestionAnswering,
														    MBartForSequenceClassification,
														    MBartModel,
														    MBartPreTrainedModel,
														)

							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_mbart import TFMBartForConditionalGeneration, TFMBartModel, TFMBartPreTrainedModel

							try:
														if not is_flax_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_flax_mbart import (
														    FlaxMBartForConditionalGeneration,
														    FlaxMBartForQuestionAnswering,
														    FlaxMBartForSequenceClassification,
														    FlaxMBartModel,
														    FlaxMBartPreTrainedModel,
														)

else:
							import sys

							UpperCamelCase_    						=       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)





