

import os
from typing import List, Optional, Union

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


snake_case_			  = logging.get_logger(__name__)

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

snake_case_			  = {
    '''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''',
    },
}

snake_case_			  = {
    '''facebook/esm2_t6_8M_UR50D''': 1_024,
    '''facebook/esm2_t12_35M_UR50D''': 1_024,
}

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    str			):



     '''simple docstring'''





     with open(SCREAMING_SNAKE_CASE_	,     'r'			) as f:
          lowercase__    :   Optional[Any]      =       f.read().splitlines()
          return [l.strip() for l in lines]


class       SCREAMING_SNAKE_CASE__					(__snake_case     ):
    __lowerCamelCase						:       Optional[Any]														=     VOCAB_FILES_NAMES
    __lowerCamelCase						:       Union[str, Any]														=     PRETRAINED_VOCAB_FILES_MAP
    __lowerCamelCase						:       Tuple														=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    __lowerCamelCase						:       Any														=     ["""input_ids""", """attention_mask"""]





    def __init__(      self						,   a						,   a="<unk>"						,   a="<cls>"						,   a="<pad>"						,   a="<mask>"						,   a="<eos>"						,   **a						,   ):
         super().__init__(**a)
         lowercase__    :   Dict      =       load_vocab_file(a)
         lowercase__    :   str      =       dict(enumerate(self.all_tokens))
         lowercase__    :   List[Any]      =       {tok: ind for ind, tok in enumerate(self.all_tokens)}
         lowercase__    :   Union[str, Any]      =       unk_token
         lowercase__    :   Optional[Any]      =       cls_token
         lowercase__    :   Tuple      =       pad_token
         lowercase__    :   Optional[int]      =       mask_token
         lowercase__    :   List[str]      =       eos_token
         lowercase__    :   int      =       self.all_tokens
         self._create_trie(self.unique_no_split_tokens)





    def       snake_case_				(      self						,   a):
         return self._id_to_token.get(a						,   self.unk_token)





    def       snake_case_				(      self						,   a):
         return self._token_to_id.get(a						,   self._token_to_id.get(self.unk_token))





    def       snake_case_				(      self						,   a						,   **a):
         return text.split()





    def       snake_case_				(      self						,   a=False):
         return len(self._id_to_token)





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





    def       snake_case_				(      self						,   a):
         return self._token_to_id.get(a						,   self._token_to_id.get(self.unk_token))





    def       snake_case_				(      self						,   a):
         return self._id_to_token.get(a						,   self.unk_token)





    def       snake_case_				(      self						,   a						,   a = None):
         lowercase__    :   List[Any]      =       [self.cls_token_id]
         lowercase__    :   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       snake_case_				(      self						,   a						,   a = None						,   a = False):
         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]
         lowercase__    :   str      =       [1] + ([0] * len(a)) + [1]
         if token_ids_a is not None:
              mask += [0] * len(a) + [1]
         return mask





    def       snake_case_				(      self						,   a						,   a):
         lowercase__    :   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       snake_case_				(      self):
         return self.get_vocab_size(with_added_tokens=a)





    def       snake_case_				(      self						,   a						,   a = False):
         return super()._add_tokens(a						,   special_tokens=a)




# flake8: noqa
# Lint as: python3

from typing import Dict, List, Optional, Type

from .. import config
from ..utils import logging
from .formatting import (
    ArrowFormatter,
    CustomFormatter,
    Formatter,
    PandasFormatter,
    PythonFormatter,
    TensorFormatter,
    format_table,
    query_table,
)
from .np_formatter import NumpyFormatter


snake_case_			  = logging.get_logger(__name__)

snake_case_			  = {}
snake_case_			  = {}
snake_case_			  = {}

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    type	,     SCREAMING_SNAKE_CASE_		:    Optional[str]	,     SCREAMING_SNAKE_CASE_		:    Optional[List[str]] = None	,     ):



     '''simple docstring'''





     lowercase__    :   Union[str, Any]      =       aliases if aliases is not None else []
     if format_type in _FORMAT_TYPES:
          logger.warning(
              f"""Overwriting format type '{format_type}' ({_FORMAT_TYPES[format_type].__name__} -> {formatter_cls.__name__})"""			)
     lowercase__    :   Any      =       formatter_cls
     for alias in set(aliases + [format_type]			):
          if alias in _FORMAT_TYPES_ALIASES:
               logger.warning(
                   f"""Overwriting format type alias '{alias}' ({_FORMAT_TYPES_ALIASES[alias]} -> {format_type})"""			)
          lowercase__    :   int      =       format_type

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    Exception	,     SCREAMING_SNAKE_CASE_		:    Optional[str]	,     SCREAMING_SNAKE_CASE_		:    Optional[List[str]] = None			):



     '''simple docstring'''





     lowercase__    :   Optional[Any]      =       aliases if aliases is not None else []
     for alias in set(aliases + [format_type]			):
          lowercase__    :   Any      =       unavailable_error


# Here we define all the available formatting functions that can be used by `Dataset.set_format`
_register_formatter(PythonFormatter, None, aliases=['''python'''])
_register_formatter(ArrowFormatter, '''arrow''', aliases=['''pa''', '''pyarrow'''])
_register_formatter(NumpyFormatter, '''numpy''', aliases=['''np'''])
_register_formatter(PandasFormatter, '''pandas''', aliases=['''pd'''])
_register_formatter(CustomFormatter, '''custom''')

if config.TORCH_AVAILABLE:
       from .torch_formatter import TorchFormatter

       _register_formatter(TorchFormatter, '''torch''', aliases=['''pt''', '''pytorch'''])
else:
       snake_case_			  = ValueError('''PyTorch needs to be installed to be able to return PyTorch tensors.''')
       _register_unavailable_formatter(_torch_error, '''torch''', aliases=['''pt''', '''pytorch'''])

if config.TF_AVAILABLE:
       from .tf_formatter import TFFormatter

       _register_formatter(TFFormatter, '''tensorflow''', aliases=['''tf'''])
else:
       snake_case_			  = ValueError('''Tensorflow needs to be installed to be able to return Tensorflow tensors.''')
       _register_unavailable_formatter(_tf_error, '''tensorflow''', aliases=['''tf'''])

if config.JAX_AVAILABLE:
       from .jax_formatter import JaxFormatter

       _register_formatter(JaxFormatter, '''jax''', aliases=[])
else:
       snake_case_			  = ValueError('''JAX needs to be installed to be able to return JAX arrays.''')
       _register_unavailable_formatter(_jax_error, '''jax''', aliases=[])

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    Optional[str]			):



     '''simple docstring'''





     if format_type in _FORMAT_TYPES_ALIASES:
          return _FORMAT_TYPES_ALIASES[format_type]
     else:
          return format_type

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    Optional[str]	,     **SCREAMING_SNAKE_CASE_		:    Any			):



     '''simple docstring'''





     lowercase__    :   Tuple      =       get_format_type_from_alias(SCREAMING_SNAKE_CASE_			)
     if format_type in _FORMAT_TYPES:
          return _FORMAT_TYPES[format_type](**SCREAMING_SNAKE_CASE_			)
     if format_type in _FORMAT_TYPES_ALIASES_UNAVAILABLE:
          raise _FORMAT_TYPES_ALIASES_UNAVAILABLE[format_type]
     else:
          raise ValueError(
              f"""Return type should be None or selected in {list(type for type in _FORMAT_TYPES.keys() if type != None			)}, but got '{format_type}'"""			)

