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


UpperCAmelCase__   :					Any												=				logging.get_logger(__name__)

UpperCAmelCase__   :					str												=				{
    "edbeeching/decision-transformer-gym-hopper-medium": (
        "https://huggingface.co/edbeeching/decision-transformer-gym-hopper-medium/resolve/main/config.json"
    ),
    # See all DecisionTransformer models at https://huggingface.co/models?filter=decision_transformer
}



class 			lowerCAmelCase_		(UpperCamelCase_						):


				"""simple docstring"""



				__UpperCamelCase   :		List[Any]       =     """decision_transformer"""
				__UpperCamelCase   :		List[str]       =     ["""past_key_values"""]
				__UpperCamelCase   :		str       =     {
				    """max_position_embeddings""": """n_positions""",
				    """num_attention_heads""": """n_head""",
				    """num_hidden_layers""": """n_layer""",
				}



				def __init__(self     , SCREAMING_SNAKE_CASE__=17     , SCREAMING_SNAKE_CASE__=4     , SCREAMING_SNAKE_CASE__=1_28     , SCREAMING_SNAKE_CASE__=40_96     , SCREAMING_SNAKE_CASE__=True     , SCREAMING_SNAKE_CASE__=1     , SCREAMING_SNAKE_CASE__=10_24     , SCREAMING_SNAKE_CASE__=3     , SCREAMING_SNAKE_CASE__=1     , SCREAMING_SNAKE_CASE__=None     , SCREAMING_SNAKE_CASE__="relu"     , SCREAMING_SNAKE_CASE__=0.1     , SCREAMING_SNAKE_CASE__=0.1     , SCREAMING_SNAKE_CASE__=0.1     , SCREAMING_SNAKE_CASE__=1E-5     , SCREAMING_SNAKE_CASE__=0.02     , SCREAMING_SNAKE_CASE__=True     , SCREAMING_SNAKE_CASE__=True     , SCREAMING_SNAKE_CASE__=5_02_56     , SCREAMING_SNAKE_CASE__=5_02_56     , SCREAMING_SNAKE_CASE__=False     , SCREAMING_SNAKE_CASE__=False     , **SCREAMING_SNAKE_CASE__     , )      ->	List[str]:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__		: Optional[Any]     =     state_dim
											SCREAMING_SNAKE_CASE__		: Dict     =     act_dim
											SCREAMING_SNAKE_CASE__		: Dict     =     hidden_size
											SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     max_ep_len
											SCREAMING_SNAKE_CASE__		: Tuple     =     action_tanh
											SCREAMING_SNAKE_CASE__		: List[str]     =     vocab_size
											SCREAMING_SNAKE_CASE__		: Optional[Any]     =     n_positions
											SCREAMING_SNAKE_CASE__		: Optional[int]     =     n_layer
											SCREAMING_SNAKE_CASE__		: str     =     n_head
											SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     n_inner
											SCREAMING_SNAKE_CASE__		: List[Any]     =     activation_function
											SCREAMING_SNAKE_CASE__		: Optional[Any]     =     resid_pdrop
											SCREAMING_SNAKE_CASE__		: List[str]     =     embd_pdrop
											SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     attn_pdrop
											SCREAMING_SNAKE_CASE__		: Tuple     =     layer_norm_epsilon
											SCREAMING_SNAKE_CASE__		: str     =     initializer_range
											SCREAMING_SNAKE_CASE__		: Optional[Any]     =     scale_attn_weights
											SCREAMING_SNAKE_CASE__		: Tuple     =     use_cache
											SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     scale_attn_by_inverse_layer_idx
											SCREAMING_SNAKE_CASE__		: int     =     reorder_and_upcast_attn

											SCREAMING_SNAKE_CASE__		: Tuple     =     bos_token_id
											SCREAMING_SNAKE_CASE__		: Dict     =     eos_token_id

											super().__init__(bos_token_id=_a     , eos_token_id=_a     , **_a					)






"""simple docstring"""




import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links

def lowercase_						(     _snake_case     ,_snake_case=7		):
							SCREAMING_SNAKE_CASE__		: Dict     =     None
							if token is not None:
														SCREAMING_SNAKE_CASE__		: str     =     {"""Accept""": """application/vnd.github+json""", """Authorization""": f'''Bearer {token}'''}

							# The id of a workflow (not of a workflow run)
							SCREAMING_SNAKE_CASE__		: List[str]     =     """636036"""

							SCREAMING_SNAKE_CASE__		: Any     =     f'''https://api.github.com/repos/huggingface/transformers/actions/workflows/{workflow_id}/runs'''
							# On `main` branch + event being `schedule` + not returning PRs + only `num_runs` results
							url += f'''?branch=main&event=schedule&exclude_pull_requests=true&per_page={num_runs}'''

							SCREAMING_SNAKE_CASE__		: str     =     requests.get(_snake_case     ,headers=_snake_case		).json()

							return result["workflow_runs"]

def lowercase_						(     _snake_case		):
							SCREAMING_SNAKE_CASE__		: Tuple     =     get_daily_ci_runs(_snake_case		)
							SCREAMING_SNAKE_CASE__		: int     =     None
							for workflow_run in workflow_runs:
														if workflow_run["status"] == "completed":
																					SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     workflow_run["""id"""]
																					break

							return workflow_run_id

def lowercase_						(     _snake_case     ,_snake_case     ,_snake_case		):
							SCREAMING_SNAKE_CASE__		: Dict     =     get_last_daily_ci_runs(_snake_case		)
							if workflow_run_id is not None:
														SCREAMING_SNAKE_CASE__		: Tuple     =     get_artifacts_links(worflow_run_id=_snake_case     ,token=_snake_case		)
														for artifact_name in artifact_names:
																					if artifact_name in artifacts_links:
																												SCREAMING_SNAKE_CASE__		: Tuple     =     artifacts_links[artifact_name]
																												download_artifact(
																												    artifact_name=_snake_case     ,artifact_url=_snake_case     ,output_dir=_snake_case     ,token=_snake_case		)

def lowercase_						(     _snake_case     ,_snake_case     ,_snake_case		):
							get_last_daily_ci_artifacts(_snake_case     ,_snake_case     ,_snake_case		)

							SCREAMING_SNAKE_CASE__		: List[str]     =     {}
							for artifact_name in artifact_names:
														SCREAMING_SNAKE_CASE__		: Optional[Any]     =     os.path.join(_snake_case     ,f'''{artifact_name}.zip'''		)
														if os.path.isfile(_snake_case		):
																					SCREAMING_SNAKE_CASE__		: List[Any]     =     {}
																					with zipfile.ZipFile(_snake_case		) as z:
																												for filename in z.namelist():
																																			if not os.path.isdir(_snake_case		):
																																										# read the file
																																										with z.open(_snake_case		) as f:
																																																	SCREAMING_SNAKE_CASE__		: List[Any]     =     f.read().decode("""UTF-8"""		)

							return results




