
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowerCAmelCase     :	Dict       			=  {
    'configuration_table_transformer': [
        'TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'TableTransformerConfig',
        'TableTransformerOnnxConfig',
    ]
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCAmelCase     :	Tuple       			=  [
        'TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
        'TableTransformerForObjectDetection',
        'TableTransformerModel',
        'TableTransformerPreTrainedModel',
    ]


if TYPE_CHECKING:
    from .configuration_table_transformer import (
        TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        TableTransformerConfig,
        TableTransformerOnnxConfig,
    )

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_table_transformer import (
            TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TableTransformerForObjectDetection,
            TableTransformerModel,
            TableTransformerPreTrainedModel,
        )

else:
    import sys

    __lowerCAmelCase     :	Any       			=  _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






'''simple docstring'''

from dataclasses import asdict, dataclass
from typing import Optional

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


__lowerCAmelCase		     =  logging.get_logger(__name__)

# TODO Update this
__lowerCAmelCase		     =  {
    '''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       __magic_name__		(       _UpperCamelCase  ):
							lowerCAmelCase			:       Any  							=   'esm'







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

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







							def 				__lowercase     (				self   :			Any						):
									_a	: str								=				super().to_dict()
									if isinstance(self.esmfold_config      ,_UpperCAmelCase						):
											_a	: List[str]								=				self.esmfold_config.to_dict()
									return output

@dataclass
class       __magic_name__		:
							lowerCAmelCase			:       str  							=   None
							lowerCAmelCase			:       bool  							=   True
							lowerCAmelCase			:       bool  							=   False
							lowerCAmelCase			:       bool  							=   False
							lowerCAmelCase			:       bool  							=   False
							lowerCAmelCase			:       float  							=   0

							lowerCAmelCase			:       bool  							=   True
							lowerCAmelCase			:       bool  							=   False

							lowerCAmelCase			:       int  							=   1_2_8
							lowerCAmelCase			:       "TrunkConfig"  							=   None







							def 				__lowercase     (				self   :			List[str]						):
									if self.trunk is None:
											_a	: Dict								=				TrunkConfig()
									elif isinstance(self.trunk      ,_UpperCAmelCase						):
											_a	: str								=				TrunkConfig(**self.trunk						)







							def 				__lowercase     (				self   :			List[Any]						):
									_a	: List[str]								=				asdict(self						)
									_a	: List[str]								=				self.trunk.to_dict()
									return output

@dataclass
class       __magic_name__		:
							lowerCAmelCase			:       int  							=   4_8
							lowerCAmelCase			:       int  							=   1_0_2_4
							lowerCAmelCase			:       int  							=   1_2_8
							lowerCAmelCase			:       int  							=   3_2
							lowerCAmelCase			:       int  							=   3_2
							lowerCAmelCase			:       int  							=   3_2
							lowerCAmelCase			:       float  							=   0
							lowerCAmelCase			:       float  							=   0
							lowerCAmelCase			:       bool  							=   False
							lowerCAmelCase			:       int  							=   4
							lowerCAmelCase			:       Optional[int]  							=   1_2_8
							lowerCAmelCase			:       "StructureModuleConfig"  							=   None







							def 				__lowercase     (				self   :			str						):
									if self.structure_module is None:
											_a	: Tuple								=				StructureModuleConfig()
									elif isinstance(self.structure_module      ,_UpperCAmelCase						):
											_a	: List[str]								=				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	: Optional[int]								=				self.sequence_state_dim // self.sequence_head_width
									_a	: 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 				__lowercase     (				self   :			Optional[int]						):
									_a	: Optional[Any]								=				asdict(self						)
									_a	: Optional[Any]								=				self.structure_module.to_dict()
									return output

@dataclass
class       __magic_name__		:
							lowerCAmelCase			:       int  							=   3_8_4
							lowerCAmelCase			:       int  							=   1_2_8
							lowerCAmelCase			:       int  							=   1_6
							lowerCAmelCase			:       int  							=   1_2_8
							lowerCAmelCase			:       int  							=   1_2
							lowerCAmelCase			:       int  							=   4
							lowerCAmelCase			:       int  							=   8
							lowerCAmelCase			:       float  							=   0.1
							lowerCAmelCase			:       int  							=   8
							lowerCAmelCase			:       int  							=   1
							lowerCAmelCase			:       int  							=   2
							lowerCAmelCase			:       int  							=   7
							lowerCAmelCase			:       int  							=   1_0
							lowerCAmelCase			:       float  							=   1e-8
							lowerCAmelCase			:       float  							=   1e5







							def 				__lowercase     (				self   :			str						):
									return asdict(self						)



def 	__lowerCamelCase	( )     -> Optional[int]:
		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>",
		)




