



import argparse
import math
import traceback

import dateutil.parser as date_parser
import requests






def  UpperCAmelCase__    (    lowercase__   ) ->      Tuple:
						__lowercase					=				{}

						__lowercase					=				job["""started_at"""]
						__lowercase					=				job["""completed_at"""]

						__lowercase					=				date_parser.parse(lowercase__   )
						__lowercase					=				date_parser.parse(lowercase__   )

						__lowercase					=				round((end_datetime - start_datetime).total_seconds() / 60.0   )

						__lowercase					=				start
						__lowercase					=				end
						__lowercase					=				duration_in_min

						return job_info






def  UpperCAmelCase__    (    lowercase__						,       lowercase__=None   ) ->      int:
						__lowercase					=				None
						if token is not None:
												__lowercase					=				{"""Accept""": """application/vnd.github+json""", """Authorization""": F"Bearer {token}"}

						__lowercase					=				F"https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100"
						__lowercase					=				requests.get(lowercase__						,       headers=lowercase__   ).json()
						__lowercase					=				{}

						try:
												job_time.update({job["""name"""]: extract_time_from_single_job(lowercase__   ) for job in result["""jobs"""]}   )
												__lowercase					=				math.ceil((result["""total_count"""] - 100) / 100   )

												for i in range(lowercase__   ):
																		__lowercase					=				requests.get(url + F"&page={i + 2}"						,       headers=lowercase__   ).json()
																		job_time.update({job["""name"""]: extract_time_from_single_job(lowercase__   ) for job in result["""jobs"""]}   )

												return job_time
						except Exception:
												print(F"Unknown error, could not fetch links:\n{traceback.format_exc()}"   )

						return {}


if __name__ == "__main__":
			UpperCamelCase__ =						argparse.ArgumentParser()
			# Required parameters
			parser.add_argument("--workflow_run_id", type=str, required=True, help="A GitHub Actions workflow run id.")
			UpperCamelCase__ =						parser.parse_args()

			UpperCamelCase__ =						get_job_time(args.workflow_run_id)
			UpperCamelCase__ =						dict(sorted(job_time.items(), key=lambda item: item[1]["duration"], reverse=True))

			for k, v in job_time.items():
						print(F"""{k}: {v["duration"]}""")










from dataclasses import asdict, dataclass
from typing import Optional

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


UpperCamelCase__ =						logging.get_logger(__name__)

# TODO Update this
UpperCamelCase__ =						{
    "facebook/esm-1b": "https://huggingface.co/facebook/esm-1b/resolve/main/config.json",
    # See all ESM models at https://huggingface.co/models?filter=esm
}
class 			_lowerCAmelCase   ( _UpperCAmelCase			):






			"""simple docstring"""





			lowercase__      :  Union[str, Any]      =			"""esm"""





			def __init__(				self	:       Any			,     lowercase	:       Optional[Any]=None			,     lowercase	:       Optional[int]=None			,     lowercase	:       List[Any]=None			,     lowercase	:       Optional[int]=768			,     lowercase	:       str=12			,     lowercase	:       Union[str, Any]=12			,     lowercase	:       Dict=3_072			,     lowercase	:       Optional[int]=0.1			,     lowercase	:       str=0.1			,     lowercase	:       Dict=1_026			,     lowercase	:       Tuple=0.02			,     lowercase	:       str=1E-1_2			,     lowercase	:       Dict="absolute"			,     lowercase	:       Optional[Any]=True			,     lowercase	:       int=None			,     lowercase	:       int=False			,     lowercase	:       List[str]=False			,     lowercase	:       Tuple=None			,     lowercase	:       Tuple=None			,     **lowercase	:       Union[str, Any]			,     )						->					int:
									"""simple docstring"""







									super().__init__(pad_token_id=lowercase			,     mask_token_id=lowercase			,     **lowercase   )

									__lowercase					=				vocab_size
									__lowercase					=				hidden_size
									__lowercase					=				num_hidden_layers
									__lowercase					=				num_attention_heads
									__lowercase					=				intermediate_size
									__lowercase					=				hidden_dropout_prob
									__lowercase					=				attention_probs_dropout_prob
									__lowercase					=				max_position_embeddings
									__lowercase					=				initializer_range
									__lowercase					=				layer_norm_eps
									__lowercase					=				position_embedding_type
									__lowercase					=				use_cache
									__lowercase					=				emb_layer_norm_before
									__lowercase					=				token_dropout
									__lowercase					=				is_folding_model
									if is_folding_model:
															if esmfold_config is None:
																					logger.info("""No esmfold_config supplied for folding model, using default values."""   )
																					__lowercase					=				EsmFoldConfig()
															elif isinstance(lowercase			,     lowercase   ):
																					__lowercase					=				EsmFoldConfig(**lowercase   )
															__lowercase					=				esmfold_config
															if vocab_list is None:
																					logger.warning("""No vocab_list supplied for folding model, assuming the ESM-2 vocabulary!"""   )
																					__lowercase					=				get_default_vocab_list()
															else:
																					__lowercase					=				vocab_list
									else:
															__lowercase					=				None
															__lowercase					=				None
									if self.esmfold_config is not None and getattr(self.esmfold_config			,     """use_esm_attn_map"""			,     lowercase   ):
															raise ValueError("""The HuggingFace port of ESMFold does not support use_esm_attn_map at this time!"""   )







			def 		snake_case__			(				self	:       Optional[Any]   )						->					Tuple:
									"""simple docstring"""







									__lowercase					=				super().to_dict()
									if isinstance(self.esmfold_config			,     lowercase   ):
															__lowercase					=				self.esmfold_config.to_dict()
									return output





@dataclass
class 			_lowerCAmelCase   :






			"""simple docstring"""





			lowercase__      :  str      =			None
			lowercase__      :  bool      =			True
			lowercase__      :  bool      =			False
			lowercase__      :  bool      =			False
			lowercase__      :  bool      =			False
			lowercase__      :  float      =			0

			lowercase__      :  bool      =			True
			lowercase__      :  bool      =			False

			lowercase__      :  int      =			128
			lowercase__      :  "TrunkConfig"      =			None





			def 		snake_case__			(				self	:       List[str]   )						->					Any:
									"""simple docstring"""







									if self.trunk is None:
															__lowercase					=				TrunkConfig()
									elif isinstance(self.trunk			,     lowercase   ):
															__lowercase					=				TrunkConfig(**self.trunk   )







			def 		snake_case__			(				self	:       Dict   )						->					Any:
									"""simple docstring"""







									__lowercase					=				asdict(self   )
									__lowercase					=				self.trunk.to_dict()
									return output





@dataclass
class 			_lowerCAmelCase   :






			"""simple docstring"""





			lowercase__      :  int      =			48
			lowercase__      :  int      =			1_024
			lowercase__      :  int      =			128
			lowercase__      :  int      =			32
			lowercase__      :  int      =			32
			lowercase__      :  int      =			32
			lowercase__      :  float      =			0
			lowercase__      :  float      =			0
			lowercase__      :  bool      =			False
			lowercase__      :  int      =			4
			lowercase__      :  Optional[int]      =			128
			lowercase__      :  "StructureModuleConfig"      =			None





			def 		snake_case__			(				self	:       Tuple   )						->					str:
									"""simple docstring"""







									if self.structure_module is None:
															__lowercase					=				StructureModuleConfig()
									elif isinstance(self.structure_module			,     lowercase   ):
															__lowercase					=				StructureModuleConfig(**self.structure_module   )

									if self.max_recycles <= 0:
															raise ValueError(F"`max_recycles` should be positive, got {self.max_recycles}."   )
									if self.sequence_state_dim % self.sequence_state_dim != 0:
															raise ValueError(
															    """`sequence_state_dim` should be a round multiple of `sequence_state_dim`, got"""
															    F" {self.sequence_state_dim} and {self.sequence_state_dim}."   )
									if self.pairwise_state_dim % self.pairwise_state_dim != 0:
															raise ValueError(
															    """`pairwise_state_dim` should be a round multiple of `pairwise_state_dim`, got"""
															    F" {self.pairwise_state_dim} and {self.pairwise_state_dim}."   )

									__lowercase					=				self.sequence_state_dim // self.sequence_head_width
									__lowercase					=				self.pairwise_state_dim // self.pairwise_head_width

									if self.sequence_state_dim != sequence_num_heads * self.sequence_head_width:
															raise ValueError(
															    """`sequence_state_dim` should be equal to `sequence_num_heads * sequence_head_width, got"""
															    F" {self.sequence_state_dim} != {sequence_num_heads} * {self.sequence_head_width}."   )
									if self.pairwise_state_dim != pairwise_num_heads * self.pairwise_head_width:
															raise ValueError(
															    """`pairwise_state_dim` should be equal to `pairwise_num_heads * pairwise_head_width, got"""
															    F" {self.pairwise_state_dim} != {pairwise_num_heads} * {self.pairwise_head_width}."   )
									if self.pairwise_state_dim % 2 != 0:
															raise ValueError(F"`pairwise_state_dim` should be even, got {self.pairwise_state_dim}."   )

									if self.dropout >= 0.4:
															raise ValueError(F"`dropout` should not be greater than 0.4, got {self.dropout}."   )







			def 		snake_case__			(				self	:       List[str]   )						->					Union[str, Any]:
									"""simple docstring"""







									__lowercase					=				asdict(self   )
									__lowercase					=				self.structure_module.to_dict()
									return output





@dataclass
class 			_lowerCAmelCase   :






			"""simple docstring"""





			lowercase__      :  int      =			384
			lowercase__      :  int      =			128
			lowercase__      :  int      =			16
			lowercase__      :  int      =			128
			lowercase__      :  int      =			12
			lowercase__      :  int      =			4
			lowercase__      :  int      =			8
			lowercase__      :  float      =			0.1
			lowercase__      :  int      =			8
			lowercase__      :  int      =			1
			lowercase__      :  int      =			2
			lowercase__      :  int      =			7
			lowercase__      :  int      =			10
			lowercase__      :  float      =			1E-8
			lowercase__      :  float      =			1E5





			def 		snake_case__			(				self	:       Tuple   )						->					List[str]:
									"""simple docstring"""







									return asdict(self   )






def  UpperCAmelCase__    (    ) ->      List[Any]:
						return (
						    "<cls>",
						    "<pad>",
						    "<eos>",
						    "<unk>",
						    "L",
						    "A",
						    "G",
						    "V",
						    "S",
						    "E",
						    "R",
						    "T",
						    "I",
						    "D",
						    "P",
						    "K",
						    "Q",
						    "N",
						    "F",
						    "Y",
						    "M",
						    "H",
						    "W",
						    "C",
						    "X",
						    "B",
						    "U",
						    "Z",
						    "O",
						    ".",
						    "-",
						    "<null_1>",
						    "<mask>",
						)





