
"""simple docstring"""





import os
from typing import List, Optional, Union

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


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

UpperCamelCase_					:						List[str]				= {'''vocab_file''': '''vocab.txt'''}

UpperCamelCase_					:						Union[str, Any]				= {
    '''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_					:						Optional[int]				= {
    '''facebook/esm2_t6_8M_UR50D''': 1024,
    '''facebook/esm2_t12_35M_UR50D''': 1024,
}
def 							A_     (__a				):

					'''simple docstring'''





					with open(__a				,   "r"				) as f:
										A_				 =						f.read().splitlines()
										return [l.strip() for l in lines]




class __lowerCAmelCase				(					_lowercase      ):




			"""simple docstring"""







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




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







								"""simple docstring"""
								super().__init__(**_snake_case	)
								A_				 =						load_vocab_file(_snake_case	)
								A_				 =						dict(enumerate(self.all_tokens	)	)
								A_				 =						{tok: ind for ind, tok in enumerate(self.all_tokens	)}
								A_				 =						unk_token
								A_				 =						cls_token
								A_				 =						pad_token
								A_				 =						mask_token
								A_				 =						eos_token
								A_				 =						self.all_tokens
								self._create_trie(self.unique_no_split_tokens	)




			def      lowerCamelCase__     (				self						:					List[str]       ,   _snake_case						:					int	)      -> str:







								"""simple docstring"""
								return self._id_to_token.get(_snake_case       ,   self.unk_token	)




			def      lowerCamelCase__     (				self						:					Tuple       ,   _snake_case						:					str	)      -> int:







								"""simple docstring"""
								return self._token_to_id.get(_snake_case       ,   self._token_to_id.get(self.unk_token	)	)




			def      lowerCamelCase__     (				self						:					int       ,   _snake_case						:					Optional[Any]       ,   **_snake_case						:					str	)      -> List[Any]:







								"""simple docstring"""
								return text.split()




			def      lowerCamelCase__     (				self						:					Dict       ,   _snake_case						:					Any=False	)      -> Union[str, Any]:







								"""simple docstring"""
								return len(self._id_to_token	)




			def      lowerCamelCase__     (				self						:					int	)      -> Dict:







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




			def      lowerCamelCase__     (				self						:					Union[str, Any]       ,   _snake_case						:					str	)      -> int:







								"""simple docstring"""
								return self._token_to_id.get(_snake_case       ,   self._token_to_id.get(self.unk_token	)	)




			def      lowerCamelCase__     (				self						:					int       ,   _snake_case						:					int	)      -> str:







								"""simple docstring"""
								return self._id_to_token.get(_snake_case       ,   self.unk_token	)




			def      lowerCamelCase__     (				self						:					int       ,   _snake_case						:					List[int]       ,   _snake_case						:					Optional[List[int]] = None	)      -> List[int]:







								"""simple docstring"""
								A_				 =						[self.cls_token_id]
								A_				 =						[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      lowerCamelCase__     (				self						:					Tuple       ,   _snake_case						:					List       ,   _snake_case						:					Optional[List] = None       ,   _snake_case						:					bool = False	)      -> List[int]:







								"""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]
								A_				 =						[1] + ([0] * len(_snake_case	)) + [1]
								if token_ids_a is not None:
													mask += [0] * len(_snake_case	) + [1]
								return mask




			def      lowerCamelCase__     (				self						:					str       ,   _snake_case						:					List[Any]       ,   _snake_case						:					int	)      -> List[str]:







								"""simple docstring"""
								A_				 =						os.path.join(_snake_case       ,   (filename_prefix + "-" if filename_prefix else "") + "vocab.txt"	)
								with open(_snake_case       ,   "w"	) as f:
													f.write("\n".join(self.all_tokens	)	)
								return (vocab_file,)




			@property
			def      lowerCamelCase__     (				self						:					Tuple	)      -> int:







								"""simple docstring"""
								return self.get_vocab_size(with_added_tokens=_snake_case	)






			def      lowerCamelCase__     (				self						:					str       ,   _snake_case						:					Union[List[str], List[AddedToken]]       ,   _snake_case						:					bool = False	)      -> int:







								"""simple docstring"""
								return super()._add_tokens(_snake_case       ,   special_tokens=_snake_case	)






"""simple docstring"""





from __future__ import annotations

from collections import Counter
from random import random



class __lowerCAmelCase				:




			"""simple docstring"""







			def __init__(				self						:					int	)      -> List[Any]:







								"""simple docstring"""
								A_				 =						{}




			def      lowerCamelCase__     (				self						:					List[Any]       ,   _snake_case						:					str	)      -> None:







								"""simple docstring"""
								A_				 =						{}




			def      lowerCamelCase__     (				self						:					Optional[int]       ,   _snake_case						:					str       ,   _snake_case						:					str       ,   _snake_case						:					float	)      -> None:







								"""simple docstring"""
								if nodea not in self.connections:
													self.add_node(_snake_case	)
								if nodea not in self.connections:
													self.add_node(_snake_case	)
								A_				 =						probability




			def      lowerCamelCase__     (				self						:					Tuple	)      -> list[str]:







								"""simple docstring"""
								return list(self.connections	)






			def      lowerCamelCase__     (				self						:					Union[str, Any]       ,   _snake_case						:					str	)      -> str:







								"""simple docstring"""
								A_				 =						0
								A_				 =						random()

								for dest in self.connections[node]:
													current_probability += self.connections[node][dest]
													if current_probability > random_value:
																		return dest
								return ""





def 							A_     (__a				,   __a				,   __a				):

					'''simple docstring'''





					A_				 =						MarkovChainGraphUndirectedUnweighted()

					for nodea, nodea, probability in transitions:
										graph.add_transition_probability(__a				,   __a				,   __a				)

					A_				 =						Counter(graph.get_nodes()				)
					A_				 =						start

					for _ in range(__a				):
										A_				 =						graph.transition(__a				)
										visited[node] += 1

					return visited


if __name__ == "__main__":
		import doctest

		doctest.testmod()




