





import os
from typing import List, Optional, Union

from ...tokenization_utils import PreTrainedTokenizer
from ...tokenization_utils_base import AddedToken
from ...utils import logging


A__:    List[Any]  	=	logging.get_logger(__name__)

A__:    List[Any]  	=	{'''vocab_file''': '''vocab.txt'''}

A__:    List[str]  	=	{
    '''vocab_file''': {
        '''facebook/esm2_t6_8M_UR50D''': '''https://huggingface.co/facebook/esm2_t6_8M_UR50D/resolve/main/vocab.txt''',
        '''facebook/esm2_t12_35M_UR50D''': '''https://huggingface.co/facebook/esm2_t12_35M_UR50D/resolve/main/vocab.txt''',
    },
}

A__:    Dict  	=	{
    '''facebook/esm2_t6_8M_UR50D''': 1024,
    '''facebook/esm2_t12_35M_UR50D''': 1024,
}



def 				lowerCAmelCase_ (							A_):
    with open(A_    ,"r") as f:
        UpperCamelCase__:	List[str]					=     f.read().splitlines()
        return [l.strip() for l in lines]




class        _a    (    UpperCamelCase__):

      """simple docstring"""


      UpperCamelCase__  		=       VOCAB_FILES_NAMES
      UpperCamelCase__  		=       PRETRAINED_VOCAB_FILES_MAP
      UpperCamelCase__  		=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      UpperCamelCase__  		=       ["""input_ids""", """attention_mask"""]






      def __init__(		self:			List[Any]	,    __lowerCamelCase:			Dict	,    __lowerCamelCase:			Union[str, Any]="<unk>"	,    __lowerCamelCase:			Optional[int]="<cls>"	,    __lowerCamelCase:			Dict="<pad>"	,    __lowerCamelCase:			Dict="<mask>"	,    __lowerCamelCase:			Optional[int]="<eos>"	,    **__lowerCamelCase:			List[Any]	,    ):
          '''simple docstring'''


          super().__init__(**__lowerCamelCase					)
          UpperCamelCase__:	Dict					=     load_vocab_file(__lowerCamelCase					)
          UpperCamelCase__:	str					=     dict(enumerate(self.all_tokens					)					)
          UpperCamelCase__:	int					=     {tok: ind for ind, tok in enumerate(self.all_tokens					)}
          UpperCamelCase__:	int					=     unk_token
          UpperCamelCase__:	List[Any]					=     cls_token
          UpperCamelCase__:	List[str]					=     pad_token
          UpperCamelCase__:	int					=     mask_token
          UpperCamelCase__:	Tuple					=     eos_token
          UpperCamelCase__:	Any					=     self.all_tokens
          self._create_trie(self.unique_no_split_tokens					)






      def 			UpperCAmelCase_       (		self:			Union[str, Any]	,    __lowerCamelCase:			int					):
          '''simple docstring'''


          return self._id_to_token.get(__lowerCamelCase	,    self.unk_token					)






      def 			UpperCAmelCase_       (		self:			Optional[Any]	,    __lowerCamelCase:			str					):
          '''simple docstring'''


          return self._token_to_id.get(__lowerCamelCase	,    self._token_to_id.get(self.unk_token					)					)






      def 			UpperCAmelCase_       (		self:			Optional[int]	,    __lowerCamelCase:			int	,    **__lowerCamelCase:			List[Any]					):
          '''simple docstring'''


          return text.split()






      def 			UpperCAmelCase_       (		self:			Any	,    __lowerCamelCase:			List[Any]=False					):
          '''simple docstring'''


          return len(self._id_to_token					)






      def 			UpperCAmelCase_       (		self:			List[str]					):
          '''simple docstring'''


          return {token: i for i, token in enumerate(self.all_tokens					)}






      def 			UpperCAmelCase_       (		self:			int	,    __lowerCamelCase:			str					):
          '''simple docstring'''


          return self._token_to_id.get(__lowerCamelCase	,    self._token_to_id.get(self.unk_token					)					)






      def 			UpperCAmelCase_       (		self:			Tuple	,    __lowerCamelCase:			int					):
          '''simple docstring'''


          return self._id_to_token.get(__lowerCamelCase	,    self.unk_token					)






      def 			UpperCAmelCase_       (		self:			Tuple	,    __lowerCamelCase:			List[int]	,    __lowerCamelCase:			Optional[List[int]] = None					):
          '''simple docstring'''


          UpperCamelCase__:	List[Any]					=     [self.cls_token_id]
          UpperCamelCase__:	List[str]					=     [self.eos_token_id]  # No sep token in ESM vocabulary
          if token_ids_a is None:
              if self.eos_token_id is None:
                  return cls + token_ids_a
              else:
                  return cls + token_ids_a + sep
          elif self.eos_token_id is None:
              raise ValueError("Cannot tokenize multiple sequences when EOS token is not set!"					)
          return cls + token_ids_a + sep + token_ids_a + sep  # Multiple inputs always have an EOS token






      def 			UpperCAmelCase_       (		self:			Union[str, Any]	,    __lowerCamelCase:			List	,    __lowerCamelCase:			Optional[List] = None	,    __lowerCamelCase:			bool = False					):
          '''simple docstring'''


          if already_has_special_tokens:
              if token_ids_a is not None:
                  raise ValueError(
                      "You should not supply a second sequence if the provided sequence of "
                      "ids is already formatted with special tokens for the model."					)

              return [1 if token in self.all_special_ids else 0 for token in token_ids_a]
          UpperCamelCase__:	int					=     [1] + ([0] * len(__lowerCamelCase					)) + [1]
          if token_ids_a is not None:
              mask += [0] * len(__lowerCamelCase					) + [1]
          return mask






      def 			UpperCAmelCase_       (		self:			List[Any]	,    __lowerCamelCase:			Optional[int]	,    __lowerCamelCase:			Optional[Any]					):
          '''simple docstring'''


          UpperCamelCase__:	List[Any]					=     os.path.join(__lowerCamelCase	,    (filename_prefix + "-" if filename_prefix else "") + "vocab.txt"					)
          with open(__lowerCamelCase	,    "w"					) as f:
              f.write("\n".join(self.all_tokens					)					)
          return (vocab_file,)






      @property
      def 			UpperCAmelCase_       (		self:			str					):
          '''simple docstring'''


          return self.get_vocab_size(with_added_tokens=__lowerCamelCase					)






      def 			UpperCAmelCase_       (		self:			List[Any]	,    __lowerCamelCase:			Union[List[str], List[AddedToken]]	,    __lowerCamelCase:			bool = False					):
          '''simple docstring'''


          return super()._add_tokens(__lowerCamelCase	,    special_tokens=__lowerCamelCase					)








from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


A__:    Tuple  	=	logging.get_logger(__name__)

A__:    List[Any]  	=	{
    '''microsoft/swin-tiny-patch4-window7-224''': (
        '''https://huggingface.co/microsoft/swin-tiny-patch4-window7-224/resolve/main/config.json'''
    ),
    # See all Swin models at https://huggingface.co/models?filter=swin
}




class        _a    (    UpperCamelCase__						,			UpperCamelCase__):

      """simple docstring"""


      UpperCamelCase__  		=       """swin"""

      UpperCamelCase__  		=       {
          """num_attention_heads""": """num_heads""",
          """num_hidden_layers""": """num_layers""",
      }






      def __init__(		self:			Any	,    __lowerCamelCase:			Optional[Any]=224	,    __lowerCamelCase:			List[Any]=4	,    __lowerCamelCase:			Any=3	,    __lowerCamelCase:			Dict=96	,    __lowerCamelCase:			List[str]=[2, 2, 6, 2]	,    __lowerCamelCase:			int=[3, 6, 12, 24]	,    __lowerCamelCase:			str=7	,    __lowerCamelCase:			Union[str, Any]=4.0	,    __lowerCamelCase:			Union[str, Any]=True	,    __lowerCamelCase:			List[str]=0.0	,    __lowerCamelCase:			Union[str, Any]=0.0	,    __lowerCamelCase:			List[str]=0.1	,    __lowerCamelCase:			Union[str, Any]="gelu"	,    __lowerCamelCase:			List[str]=False	,    __lowerCamelCase:			Any=0.02	,    __lowerCamelCase:			Any=1e-5	,    __lowerCamelCase:			Optional[Any]=32	,    __lowerCamelCase:			Tuple=None	,    __lowerCamelCase:			int=None	,    **__lowerCamelCase:			int	,    ):
          '''simple docstring'''


          super().__init__(**__lowerCamelCase					)

          UpperCamelCase__:	List[Any]					=     image_size
          UpperCamelCase__:	str					=     patch_size
          UpperCamelCase__:	Optional[int]					=     num_channels
          UpperCamelCase__:	Dict					=     embed_dim
          UpperCamelCase__:	int					=     depths
          UpperCamelCase__:	List[str]					=     len(__lowerCamelCase					)
          UpperCamelCase__:	List[Any]					=     num_heads
          UpperCamelCase__:	Union[str, Any]					=     window_size
          UpperCamelCase__:	Dict					=     mlp_ratio
          UpperCamelCase__:	List[Any]					=     qkv_bias
          UpperCamelCase__:	Union[str, Any]					=     hidden_dropout_prob
          UpperCamelCase__:	int					=     attention_probs_dropout_prob
          UpperCamelCase__:	str					=     drop_path_rate
          UpperCamelCase__:	str					=     hidden_act
          UpperCamelCase__:	Any					=     use_absolute_embeddings
          UpperCamelCase__:	Union[str, Any]					=     layer_norm_eps
          UpperCamelCase__:	Tuple					=     initializer_range
          UpperCamelCase__:	Tuple					=     encoder_stride
          # we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
          # this indicates the channel dimension after the last stage of the model
          UpperCamelCase__:	Any					=     int(embed_dim * 2 ** (len(__lowerCamelCase					) - 1)					)
          UpperCamelCase__:	str					=     ["stem"] + [F"stage{idx}" for idx in range(1	,    len(__lowerCamelCase					) + 1					)]
          UpperCamelCase__				, UpperCamelCase__:	List[str]					=     get_aligned_output_features_output_indices(
              out_features=__lowerCamelCase	,    out_indices=__lowerCamelCase	,    stage_names=self.stage_names					)




class        _a    (    UpperCamelCase__):

      """simple docstring"""


      UpperCamelCase__  		=       version.parse("""1.11""")






      @property
      def 			UpperCAmelCase_       (		self:			List[Any]					):
          '''simple docstring'''


          return OrderedDict(
              [
                  ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
              ]					)






      @property
      def 			UpperCAmelCase_       (		self:			Union[str, Any]					):
          '''simple docstring'''


          return 1e-4

