
from dataclasses import asdict, dataclass
from typing import Optional

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


SCREAMING_SNAKE_CASE				:Dict									=							logging.get_logger(__name__)

# TODO Update this
SCREAMING_SNAKE_CASE				:Dict									=							{
    '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 				UpperCAmelCase (    __SCREAMING_SNAKE_CASE    ):




	'''simple docstring'''





	snake_case_          =	"esm"






	def __init__(			self   :					List[str]				,A   :					Dict=None				,A   :					Tuple=None				,A   :					Any=None				,A   :					Optional[Any]=7_68				,A   :					Tuple=12				,A   :					List[str]=12				,A   :					Tuple=30_72				,A   :					List[str]=0.1				,A   :					List[Any]=0.1				,A   :					int=10_26				,A   :					List[str]=0.02				,A   :					Union[str, Any]=1E-12				,A   :					List[Any]="absolute"				,A   :					List[Any]=True				,A   :					Union[str, Any]=None				,A   :					Optional[int]=False				,A   :					Dict=False				,A   :					Tuple=None				,A   :					Optional[int]=None				,**A   :					List[Any]				,):
					super().__init__(pad_token_id=A				,mask_token_id=A				,**A					)

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







	def 							UpperCamelCase_    (			self   :					Optional[int]					):
					__A       =					super().to_dict()
					if isinstance(self.esmfold_config				,A					):
									__A       =					self.esmfold_config.to_dict()
					return output





@dataclass
class 				UpperCAmelCase :




	'''simple docstring'''





	snake_case_          =	None
	snake_case_          =	True
	snake_case_          =	False
	snake_case_          =	False
	snake_case_          =	False
	snake_case_          =	0

	snake_case_          =	True
	snake_case_          =	False

	snake_case_          =	128
	snake_case_          =	None






	def 							UpperCamelCase_    (			self   :					List[Any]					):
					if self.trunk is None:
									__A       =					TrunkConfig()
					elif isinstance(self.trunk				,A					):
									__A       =					TrunkConfig(**self.trunk					)







	def 							UpperCamelCase_    (			self   :					Optional[Any]					):
					__A       =					asdict(self					)
					__A       =					self.trunk.to_dict()
					return output





@dataclass
class 				UpperCAmelCase :




	'''simple docstring'''





	snake_case_          =	48
	snake_case_          =	1024
	snake_case_          =	128
	snake_case_          =	32
	snake_case_          =	32
	snake_case_          =	32
	snake_case_          =	0
	snake_case_          =	0
	snake_case_          =	False
	snake_case_          =	4
	snake_case_          =	128
	snake_case_          =	None






	def 							UpperCamelCase_    (			self   :					List[Any]					):
					if self.structure_module is None:
									__A       =					StructureModuleConfig()
					elif isinstance(self.structure_module				,A					):
									__A       =					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}.'''					)

					__A       =					self.sequence_state_dim // self.sequence_head_width
					__A       =					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   :					Tuple					):
					__A       =					asdict(self					)
					__A       =					self.structure_module.to_dict()
					return output





@dataclass
class 				UpperCAmelCase :




	'''simple docstring'''





	snake_case_          =	384
	snake_case_          =	128
	snake_case_          =	16
	snake_case_          =	128
	snake_case_          =	12
	snake_case_          =	4
	snake_case_          =	8
	snake_case_          =	0.1
	snake_case_          =	8
	snake_case_          =	1
	snake_case_          =	2
	snake_case_          =	7
	snake_case_          =	10
	snake_case_          =	1E-8
	snake_case_          =	1E5






	def 							UpperCamelCase_    (			self   :					Union[str, Any]					):
					return asdict(self					)





def 		UpperCAmelCase     (      )						->      int:







				"""simple docstring"""



				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>",
				)






SCREAMING_SNAKE_CASE:     dict[tuple[int, int, int], int]									= {}


def 					_a							(					lowerCAmelCase    ,						lowerCAmelCase    ,						lowerCAmelCase )->	int:

		# if we are absent twice, or late 3 consecutive days,
		# no further prize strings are possible
		if late == 3 or absent == 2:
				return 0

		# if we have no days left, and have not failed any other rules,
		# we have a prize string
		if days == 0:
				return 1

		# No easy solution, so now we need to do the recursive calculation

		# First, check if the combination is already in the cache, and
		# if yes, return the stored value from there since we already
		# know the number of possible prize strings from this point on
		SCREAMING_SNAKE_CASE_					      =							(days, absent, late)
		if key in cache:
				return cache[key]

		# now we calculate the three possible ways that can unfold from
		# this point on, depending on our attendance today

		# 1) if we are late (but not absent), the "absent" counter stays as
		# it is, but the "late" counter increases by one
		SCREAMING_SNAKE_CASE_					      =							_calculate(days - 1    ,						lowerCAmelCase    ,						late + 1 )

		# 2) if we are absent, the "absent" counter increases by 1, and the
		# "late" counter resets to 0
		SCREAMING_SNAKE_CASE_					      =							_calculate(days - 1    ,						absent + 1    ,						0 )

		# 3) if we are on time, this resets the "late" counter and keeps the
		# absent counter
		SCREAMING_SNAKE_CASE_					      =							_calculate(days - 1    ,						lowerCAmelCase    ,						0 )

		SCREAMING_SNAKE_CASE_					      =							state_late + state_absent + state_ontime

		SCREAMING_SNAKE_CASE_					      =							prizestrings
		return prizestrings


def 					_a							(					lowerCAmelCase = 30 )->	int:
		return _calculate(lowerCAmelCase    ,						absent=0    ,						late=0 )


if __name__ == "__main__":
						print(solution())