

import os
from typing import List, Optional, Union

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


__UpperCAmelCase    				=     logging.get_logger(__name__)

__UpperCAmelCase    				=     {'vocab_file': 'vocab.txt'}

__UpperCAmelCase    				=     {
    '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',
    },
}

__UpperCAmelCase    				=     {
    'facebook/esm2_t6_8M_UR50D': 1_0_2_4,
    'facebook/esm2_t12_35M_UR50D': 1_0_2_4,
}







def 	_snake_case		(    SCREAMING_SNAKE_CASE				)       ->      str:

     """simple docstring"""







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





class A__    ( A ):



 """simple docstring"""







 _lowercase     :					Dict      =						VOCAB_FILES_NAMES
 _lowercase     :					Optional[int]      =						PRETRAINED_VOCAB_FILES_MAP
 _lowercase     :					str      =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 _lowercase     :					Union[str, Any]      =						['''input_ids''', '''attention_mask''']

 def __init__(		self :	int     ,						A_ :	Tuple     ,						A_ :	Optional[Any]="<unk>"     ,						A_ :	List[str]="<cls>"     ,						A_ :	Optional[int]="<pad>"     ,						A_ :	int="<mask>"     ,						A_ :	Union[str, Any]="<eos>"     ,						**A_ :	Tuple     ,						):






      '''simple docstring'''




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

 def    __magic_name__       (		self :	Union[str, Any]     ,						A_ :	int       ):






      '''simple docstring'''




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

 def    __magic_name__       (		self :	int     ,						A_ :	str       ):






      '''simple docstring'''




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

 def    __magic_name__       (		self :	Optional[Any]     ,						A_ :	List[str]     ,						**A_ :	Optional[int]       ):






      '''simple docstring'''




      return text.split()

 def    __magic_name__       (		self :	Dict     ,						A_ :	Optional[int]=False       ):






      '''simple docstring'''




      return len(self._id_to_token       )

 def    __magic_name__       (		self :	Optional[int]       ):






      '''simple docstring'''




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

 def    __magic_name__       (		self :	Any     ,						A_ :	str       ):






      '''simple docstring'''




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

 def    __magic_name__       (		self :	List[Any]     ,						A_ :	int       ):






      '''simple docstring'''




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

 def    __magic_name__       (		self :	Union[str, Any]     ,						A_ :	List[int]     ,						A_ :	Optional[List[int]] = None       ):






      '''simple docstring'''




      _lowerCAmelCase   :					Union[str, Any]        =    [self.cls_token_id]
      _lowerCAmelCase   :					Tuple        =    [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    __magic_name__       (		self :	Union[str, Any]     ,						A_ :	List     ,						A_ :	Optional[List] = None     ,						A_ :	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]
      _lowerCAmelCase   :					Dict        =    [1] + ([0] * len(A_       )) + [1]
      if token_ids_a is not None:
           mask += [0] * len(A_       ) + [1]
      return mask

 def    __magic_name__       (		self :	int     ,						A_ :	List[Any]     ,						A_ :	str       ):






      '''simple docstring'''




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

 @property
 def    __magic_name__       (		self :	Tuple       ):






      '''simple docstring'''




      return self.get_vocab_size(with_added_tokens=A_       )


 def    __magic_name__       (		self :	Union[str, Any]     ,						A_ :	Union[List[str], List[AddedToken]]     ,						A_ :	bool = False       ):






      '''simple docstring'''




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









from pathlib import PurePosixPath
from typing import Optional

import fsspec
from fsspec import AbstractFileSystem
from huggingface_hub.hf_api import DatasetInfo

from ..utils.file_utils import get_authentication_headers_for_url
from ..utils.hub import hf_hub_url





class A__    ( A ):



 """simple docstring"""







 _lowercase     :					List[str]      =						''''''
 _lowercase     :					Optional[Any]      =						'''hf-legacy'''  # "hf://"" is reserved for hffs

 def __init__(		self :	Dict     ,						A_ :	Optional[DatasetInfo] = None     ,						A_ :	Optional[str] = None     ,						**A_ :	int     ,						):






      '''simple docstring'''




      super().__init__(self     ,						**A_       )
      _lowerCAmelCase   :					Union[str, Any]        =    repo_info
      _lowerCAmelCase   :					Optional[int]        =    token
      _lowerCAmelCase   :					str        =    None

 def    __magic_name__       (		self :	Tuple       ):






      '''simple docstring'''




      if self.dir_cache is None:
           _lowerCAmelCase   :					int        =    {}
           for hf_file in self.repo_info.siblings:
                # TODO(QL): add sizes
                _lowerCAmelCase   :					Optional[int]        =    {
                    "name": hf_file.rfilename,
                    "size": None,
                    "type": "file",
                }
                self.dir_cache.update(
                    {
                        str(A_       ): {"name": str(A_       ), "size": None, "type": "directory"}
                        for d in list(PurePosixPath(hf_file.rfilename       ).parents       )[:-1]
                    }       )

 def    __magic_name__       (		self :	Dict     ,						A_ :	str     ,						A_ :	str = "rb"     ,						**A_ :	Optional[int]     ,						):






      '''simple docstring'''




      if not isinstance(self.repo_info     ,						A_       ):
           raise NotImplementedError(F'''Open is only implemented for dataset repositories, but got {self.repo_info}'''       )
      _lowerCAmelCase   :					str        =    hf_hub_url(self.repo_info.id     ,						A_     ,						revision=self.repo_info.sha       )
      return fsspec.open(
          A_     ,						mode=A_     ,						headers=get_authentication_headers_for_url(A_     ,						use_auth_token=self.token       )     ,						client_kwargs={"trust_env": True}     ,						).open()

 def    __magic_name__       (		self :	Union[str, Any]     ,						A_ :	List[Any]     ,						**A_ :	str       ):






      '''simple docstring'''




      self._get_dirs()
      _lowerCAmelCase   :					Optional[int]        =    self._strip_protocol(A_       )
      if path in self.dir_cache:
           return self.dir_cache[path]
      else:
           raise FileNotFoundError(A_       )


 def    __magic_name__       (		self :	Any     ,						A_ :	str     ,						A_ :	Any=False     ,						**A_ :	Dict       ):






      '''simple docstring'''




      self._get_dirs()
      _lowerCAmelCase   :					Dict        =    PurePosixPath(path.strip("/"       )       )
      _lowerCAmelCase   :					str        =    {}
      for p, f in self.dir_cache.items():
           _lowerCAmelCase   :					List[str]        =    PurePosixPath(p.strip("/"       )       )
           _lowerCAmelCase   :					Tuple        =    p.parent
           if root == path:
                _lowerCAmelCase   :					Union[str, Any]        =    f
      _lowerCAmelCase   :					List[str]        =    list(paths.values()       )
      if detail:
           return out
      else:
           return sorted(f["name"] for f in out       )






