



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


SCREAMING_SNAKE_CASE__   			=   logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__   			=   {
    '''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   __lowerCAmelCase  (		UpperCAmelCase_   ):
					"""simple docstring"""






					A__					:		Union[str, Any]      							=     "trajectory_transformer"
					A__					:		List[str]      							=     ["past_key_values"]
					A__					:		Dict      							=     {
					    "hidden_size": "n_embd",
					    "num_attention_heads": "n_head",
					    "num_hidden_layers": "n_layer",
					}



					def __init__(  self       :							Dict					,       _snake_case       :							List[Any]=1_00					,       _snake_case       :							Union[str, Any]=5					,       _snake_case       :							Dict=1					,       _snake_case       :							Any=1					,       _snake_case       :							Any=2_49					,       _snake_case       :							Any=6					,       _snake_case       :							Optional[int]=17					,       _snake_case       :							int=25					,       _snake_case       :							List[str]=4					,       _snake_case       :							Any=4					,       _snake_case       :							Union[str, Any]=1_28					,       _snake_case       :							Any=0.1					,       _snake_case       :							Any=0.1					,       _snake_case       :							Tuple=0.1					,       _snake_case       :							Tuple=0.0006					,       _snake_case       :							Tuple=5_12					,       _snake_case       :							Dict=0.02					,       _snake_case       :							Dict=1E-12					,       _snake_case       :							str=1					,       _snake_case       :							Dict=True					,       _snake_case       :							List[str]=1					,       _snake_case       :							str=5_02_56					,       _snake_case       :							List[str]=5_02_56					,       **_snake_case       :							Optional[Any]					,       ):






								"""simple docstring"""


								A__	  =     vocab_size
								A__	  =     action_weight
								A__	  =     reward_weight
								A__	  =     value_weight
								A__	  =     max_position_embeddings
								A__	  =     block_size
								A__	  =     action_dim
								A__	  =     observation_dim
								A__	  =     transition_dim
								A__	  =     learning_rate
								A__	  =     n_layer
								A__	  =     n_head
								A__	  =     n_embd
								A__	  =     embd_pdrop
								A__	  =     attn_pdrop
								A__	  =     resid_pdrop
								A__	  =     initializer_range
								A__	  =     layer_norm_eps
								A__	  =     kaiming_initializer_range
								A__	  =     use_cache
								super().__init__(pad_token_id=_snake_case					,       bos_token_id=_snake_case					,       eos_token_id=_snake_case					,       **_snake_case       )





'''simple docstring'''






import pytest
import requests

from datasets.utils.file_utils import http_head

from .utils import OfflineSimulationMode, RequestWouldHangIndefinitelyError, offline





@pytest.mark.integration
def  _SCREAMING_SNAKE_CASE		(      ):
     with offline(OfflineSimulationMode.CONNECTION_TIMES_OUT				):
          with pytest.raises(__snake_case				):
               requests.request('GET'   ,		'https://huggingface.co'				)
          with pytest.raises(requests.exceptions.ConnectTimeout				):
               requests.request('GET'   ,		'https://huggingface.co'   ,		timeout=1.0				)





@pytest.mark.integration
def  _SCREAMING_SNAKE_CASE		(      ):
     with offline(OfflineSimulationMode.CONNECTION_FAILS				):
          with pytest.raises(requests.exceptions.ConnectionError				):
               requests.request('GET'   ,		'https://huggingface.co'				)





def  _SCREAMING_SNAKE_CASE		(      ):
     with offline(OfflineSimulationMode.HF_DATASETS_OFFLINE_SET_TO_1				):
          with pytest.raises(__snake_case				):
               http_head('https://huggingface.co'				)



