






"""simple docstring"""



from dataclasses import asdict, dataclass
from typing import Optional

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


A__	:    Union[str, Any]			 = logging.get_logger(__name__)

# TODO Update this
A__	:    Union[str, Any]			 = {
    '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        lowercase__      (							snake_case__       ):
			_UpperCAmelCase		:Union[str, Any]             =			"esm"


			def __init__(				self					:  Tuple       ,	snake_case__					:  Tuple=None       ,	snake_case__					:  Optional[Any]=None       ,	snake_case__					:  Tuple=None       ,	snake_case__					:  Optional[int]=768       ,	snake_case__					:  List[str]=12       ,	snake_case__					:  Union[str, Any]=12       ,	snake_case__					:  List[Any]=3072       ,	snake_case__					:  int=0.1       ,	snake_case__					:  Union[str, Any]=0.1       ,	snake_case__					:  Any=1026       ,	snake_case__					:  str=0.02       ,	snake_case__					:  Optional[int]=1E-12       ,	snake_case__					:  Optional[Any]="absolute"       ,	snake_case__					:  Union[str, Any]=True       ,	snake_case__					:  List[Any]=None       ,	snake_case__					:  str=False       ,	snake_case__					:  Union[str, Any]=False       ,	snake_case__					:  List[Any]=None       ,	snake_case__					:  Dict=None       ,	**snake_case__					:  str       ,	):
										super().__init__(pad_token_id=snake_case__       ,	mask_token_id=snake_case__       ,	**snake_case__ )

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


			def      UpperCAmelCase__						(				self					:  Union[str, Any] ):
										lowerCamelCase_	:							List[Any]									=super().to_dict()
										if isinstance(self.esmfold_config       ,	snake_case__ ):
																	lowerCamelCase_	:							List[Any]									=self.esmfold_config.to_dict()
										return output







@dataclass
class        lowercase__      :
			_UpperCAmelCase		:str             =			None
			_UpperCAmelCase		:bool             =			True
			_UpperCAmelCase		:bool             =			False
			_UpperCAmelCase		:bool             =			False
			_UpperCAmelCase		:bool             =			False
			_UpperCAmelCase		:float             =			0

			_UpperCAmelCase		:bool             =			True
			_UpperCAmelCase		:bool             =			False

			_UpperCAmelCase		:int             =			128
			_UpperCAmelCase		:"TrunkConfig"             =			None


			def      UpperCAmelCase__						(				self					:  Optional[int] ):
										if self.trunk is None:
																	lowerCamelCase_	:							List[str]									=TrunkConfig()
										elif isinstance(self.trunk       ,	snake_case__ ):
																	lowerCamelCase_	:							Union[str, Any]									=TrunkConfig(**self.trunk )


			def      UpperCAmelCase__						(				self					:  int ):
										lowerCamelCase_	:							List[Any]									=asdict(self )
										lowerCamelCase_	:							Any									=self.trunk.to_dict()
										return output







@dataclass
class        lowercase__      :
			_UpperCAmelCase		:int             =			48
			_UpperCAmelCase		:int             =			1024
			_UpperCAmelCase		:int             =			128
			_UpperCAmelCase		:int             =			32
			_UpperCAmelCase		:int             =			32
			_UpperCAmelCase		:int             =			32
			_UpperCAmelCase		:float             =			0
			_UpperCAmelCase		:float             =			0
			_UpperCAmelCase		:bool             =			False
			_UpperCAmelCase		:int             =			4
			_UpperCAmelCase		:Optional[int]             =			128
			_UpperCAmelCase		:"StructureModuleConfig"             =			None


			def      UpperCAmelCase__						(				self					:  List[Any] ):
										if self.structure_module is None:
																	lowerCamelCase_	:							Optional[int]									=StructureModuleConfig()
										elif isinstance(self.structure_module       ,	snake_case__ ):
																	lowerCamelCase_	:							Tuple									=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}.""" )

										lowerCamelCase_	:							Union[str, Any]									=self.sequence_state_dim // self.sequence_head_width
										lowerCamelCase_	:							Optional[int]									=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      UpperCAmelCase__						(				self					:  Union[str, Any] ):
										lowerCamelCase_	:							List[str]									=asdict(self )
										lowerCamelCase_	:							Union[str, Any]									=self.structure_module.to_dict()
										return output







@dataclass
class        lowercase__      :
			_UpperCAmelCase		:int             =			384
			_UpperCAmelCase		:int             =			128
			_UpperCAmelCase		:int             =			16
			_UpperCAmelCase		:int             =			128
			_UpperCAmelCase		:int             =			12
			_UpperCAmelCase		:int             =			4
			_UpperCAmelCase		:int             =			8
			_UpperCAmelCase		:float             =			0.1
			_UpperCAmelCase		:int             =			8
			_UpperCAmelCase		:int             =			1
			_UpperCAmelCase		:int             =			2
			_UpperCAmelCase		:int             =			7
			_UpperCAmelCase		:int             =			10
			_UpperCAmelCase		:float             =			1e-8
			_UpperCAmelCase		:float             =			1e5


			def      UpperCAmelCase__						(				self					:  Dict ):
										return asdict(self )


def 			_snake_case    (					)    ->     Tuple:
							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>",
							)











"""simple docstring"""



# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse
import os

from accelerate.test_utils import execute_subprocess_async

def 			_snake_case    (					lowerCamelCase__     :   int=None  )    ->     Union[str, Any]:
							if subparsers is not None:
														lowerCamelCase_	:							List[Any]									=subparsers.add_parser("test"  )
							else:
														lowerCamelCase_	:							List[str]									=argparse.ArgumentParser("Accelerate test command"  )

							parser.add_argument(
							    "--config_file"    ,						default=lowerCamelCase__    ,						help=(
							        "The path to use to store the config file. Will default to a file named default_config.yaml in the cache "
							        "location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have "
							        "such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed "
							        "with 'huggingface'."
							    )    ,						)

							if subparsers is not None:
														parser.set_defaults(func=lowerCamelCase__  )
							return parser

def 			_snake_case    (					lowerCamelCase__     :   List[Any]  )    ->     Any:
							lowerCamelCase_	:							Optional[Any]									=os.path.sep.join(__file__.split(os.path.sep  )[:-2] + ["test_utils", "scripts", "test_script.py"]  )

							if args.config_file is None:
														lowerCamelCase_	:							List[Any]									=script_name
							else:
														lowerCamelCase_	:							Union[str, Any]									=F"""--config_file={args.config_file} {script_name}"""

							lowerCamelCase_	:							List[str]									=["accelerate-launch"] + test_args.split()
							lowerCamelCase_	:							Tuple									=execute_subprocess_async(lowerCamelCase__    ,						env=os.environ.copy()  )
							if result.returncode == 0:
														print("Test is a success! You are ready for your distributed training!"  )

def 			_snake_case    (					)    ->     Tuple:
							lowerCamelCase_	:							Any									=test_command_parser()
							lowerCamelCase_	:							List[Any]									=parser.parse_args()
							test_command(lowerCamelCase__  )


if __name__ == "__main__":
						main()



