import os
from typing import List, Optional, Union

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


A_      =      logging.get_logger(__name__)

A_      =      {"vocab_file": "vocab.txt"}

A_      =      {
    "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_      =      {
    "facebook/esm2_t6_8M_UR50D": 1024,
    "facebook/esm2_t12_35M_UR50D": 1024,
}






def        __UpperCAmelCase    (       UpperCAmelCase       )->       Any:



			"""simple docstring"""







			with open(UpperCAmelCase,		'''r'''       ) as f:
						lowercase							=		f.read().splitlines()
						return [l.strip() for l in lines]






class      __lowercase					(    _A    ):
						lowercase					 =     VOCAB_FILES_NAMES
						lowercase					 =     PRETRAINED_VOCAB_FILES_MAP
						lowercase					 =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						lowercase					 =     ['input_ids', 'attention_mask']

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


									'''simple docstring'''

									super().__init__(**__lowerCamelCase   )
									lowercase							=		load_vocab_file(__lowerCamelCase   )
									lowercase							=		dict(enumerate(self.all_tokens   )   )
									lowercase							=		{tok: ind for ind, tok in enumerate(self.all_tokens   )}
									lowercase							=		unk_token
									lowercase							=		cls_token
									lowercase							=		pad_token
									lowercase							=		mask_token
									lowercase							=		eos_token
									lowercase							=		self.all_tokens
									self._create_trie(self.unique_no_split_tokens   )

						def        __a		(	self				:      Optional[int]							,							__lowerCamelCase				:      int   ):


									'''simple docstring'''

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

						def        __a		(	self				:      int							,							__lowerCamelCase				:      str   ):


									'''simple docstring'''

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

						def        __a		(	self				:      Any							,							__lowerCamelCase				:      Optional[int]							,							**__lowerCamelCase				:      List[str]   ):


									'''simple docstring'''

									return text.split()

						def        __a		(	self				:      Union[str, Any]							,							__lowerCamelCase				:      Optional[int]=False   ):


									'''simple docstring'''

									return len(self._id_to_token   )

						def        __a		(	self				:      Dict   ):


									'''simple docstring'''

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

						def        __a		(	self				:      Optional[Any]							,							__lowerCamelCase				:      str   ):


									'''simple docstring'''

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

						def        __a		(	self				:      Optional[Any]							,							__lowerCamelCase				:      int   ):


									'''simple docstring'''

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

						def        __a		(	self				:      Optional[int]							,							__lowerCamelCase				:      List[int]							,							__lowerCamelCase				:      Optional[List[int]] = None   ):


									'''simple docstring'''

									lowercase							=		[self.cls_token_id]
									lowercase							=		[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        __a		(	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]
									lowercase							=		[1] + ([0] * len(__lowerCamelCase   )) + [1]
									if token_ids_a is not None:
												mask += [0] * len(__lowerCamelCase   ) + [1]
									return mask

						def        __a		(	self				:      Union[str, Any]							,							__lowerCamelCase				:      Dict							,							__lowerCamelCase				:      Any   ):


									'''simple docstring'''

									lowercase							=		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        __a		(	self				:      Tuple   ):


									'''simple docstring'''

									return self.get_vocab_size(with_added_tokens=__lowerCamelCase   )



						def        __a		(	self				:      int							,							__lowerCamelCase				:      Union[List[str], List[AddedToken]]							,							__lowerCamelCase				:      bool = False   ):


									'''simple docstring'''

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






from __future__ import annotations

from collections import deque






class      __lowercase					:

						def __init__(	self				:      Dict							,							__lowerCamelCase				:      list[str]   )							->		List[str]:


									'''simple docstring'''

									lowercase							=		[]
									self.adlist.append(
									    {'''value''': '''''', '''next_states''': [], '''fail_state''': 0, '''output''': []}   )

									for keyword in keywords:
												self.add_keyword(__lowerCamelCase   )
									self.set_fail_transitions()

						def        __a		(	self				:      str							,							__lowerCamelCase				:      int							,							__lowerCamelCase				:      str   )							->		int | None:


									'''simple docstring'''

									for state in self.adlist[current_state]["next_states"]:
												if char == self.adlist[state]["value"]:
															return state
									return None

						def        __a		(	self				:      List[Any]							,							__lowerCamelCase				:      str   )							->		None:


									'''simple docstring'''

									lowercase							=		0
									for character in keyword:
												lowercase							=		self.find_next_state(__lowerCamelCase							,							__lowerCamelCase   )
												if next_state is None:
															self.adlist.append(
															    {
															        '''value''': character,
															        '''next_states''': [],
															        '''fail_state''': 0,
															        '''output''': [],
															    }   )
															self.adlist[current_state]["next_states"].append(len(self.adlist   ) - 1   )
															lowercase							=		len(self.adlist   ) - 1
												else:
															lowercase							=		next_state
									self.adlist[current_state]["output"].append(__lowerCamelCase   )

						def        __a		(	self				:      int   )							->		None:


									'''simple docstring'''

									lowercase							=		deque()
									for node in self.adlist[0]["next_states"]:
												q.append(__lowerCamelCase   )
												lowercase							=		0
									while q:
												lowercase							=		q.popleft()
												for child in self.adlist[r]["next_states"]:
															q.append(__lowerCamelCase   )
															lowercase							=		self.adlist[r]['''fail_state''']
															while (
															    self.find_next_state(__lowerCamelCase							,							self.adlist[child]['''value''']   ) is None
															    and state != 0
															):
																		lowercase							=		self.adlist[state]['''fail_state''']
															lowercase							=		self.find_next_state(
															    __lowerCamelCase							,							self.adlist[child]['''value''']   )
															if self.adlist[child]["fail_state"] is None:
																		lowercase							=		0
															lowercase							=		(
															    self.adlist[child]['''output''']
															    + self.adlist[self.adlist[child]['''fail_state''']]['''output''']
															)



						def        __a		(	self				:      List[str]							,							__lowerCamelCase				:      str   )							->		dict[str, list[int]]:


									'''simple docstring'''

									lowercase							=		{}  # returns a dict with keywords and list of its occurrences
									lowercase							=		0
									for i in range(len(__lowerCamelCase   )   ):
												while (
												    self.find_next_state(__lowerCamelCase							,							string[i]   ) is None
												    and current_state != 0
												):
															lowercase							=		self.adlist[current_state]['''fail_state''']
												lowercase							=		self.find_next_state(__lowerCamelCase							,							string[i]   )
												if next_state is None:
															lowercase							=		0
												else:
															lowercase							=		next_state
															for key in self.adlist[current_state]["output"]:
																		if key not in result:
																					lowercase							=		[]
																		result[key].append(i - len(__lowerCamelCase   ) + 1   )
									return result


if __name__ == "__main__":
						import doctest

						doctest.testmod()





