





'''simple docstring'''






import json
import os
from typing import List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


__UpperCamelCase										=  logging.get_logger(__name__)

__UpperCamelCase										=  {
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
}

__UpperCamelCase										=  {
    "vocab_file": {
        "microsoft/biogpt": "https://huggingface.co/microsoft/biogpt/resolve/main/vocab.json",
    },
    "merges_file": {"microsoft/biogpt": "https://huggingface.co/microsoft/biogpt/resolve/main/merges.txt"},
}

__UpperCamelCase										=  {
    "microsoft/biogpt": 1024,
}







def 				_a	(					_lowerCamelCase   )   ->							Union[str, Any]:



			"""simple docstring"""


			__snake_case				:			Tuple       			=    set()
			__snake_case				:			Any       			=    word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)   )
						__snake_case				:			List[Any]       			=    char
			return pairs




class    _A   (				__lowercase		):
		lowercase__:      Tuple							    =      VOCAB_FILES_NAMES
		lowercase__:      Union[str, Any]							    =      PRETRAINED_VOCAB_FILES_MAP
		lowercase__:      Optional[Any]							    =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		lowercase__:      Dict							    =      ['''input_ids''', '''attention_mask''']

		def __init__(      self				:      int     ,			__magic_name__				:      Dict     ,			__magic_name__				:      Dict     ,			__magic_name__				:      int="<unk>"     ,			__magic_name__				:      List[Any]="<s>"     ,			__magic_name__				:      Optional[Any]="</s>"     ,			__magic_name__				:      Optional[int]="</s>"     ,			__magic_name__				:      List[Any]="<pad>"     ,			**__magic_name__				:      Any     ,			)				->						List[Any]:


					"""simple docstring"""

					super().__init__(
					    bos_token=__magic_name__     ,			eos_token=__magic_name__     ,			sep_token=__magic_name__     ,			unk_token=__magic_name__     ,			pad_token=__magic_name__     ,			**__magic_name__     ,			)

					try:
								import sacremoses
					except ImportError:
								raise ImportError(
								    """You need to install sacremoses to use BioGptTokenizer. """
								    """See https://pypi.org/project/sacremoses/ for installation.""" )

					__snake_case				:			List[str]       			=    """en"""
					__snake_case				:			Optional[Any]       			=    sacremoses
					# cache of sm.MosesTokenizer instance
					__snake_case				:			Union[str, Any]       			=    {}
					__snake_case				:			Any       			=    {}
					with open(__magic_name__     ,			encoding="""utf-8""" ) as vocab_handle:
								__snake_case				:			List[str]       			=    json.load(__magic_name__ )
					__snake_case				:			List[Any]       			=    {v: k for k, v in self.encoder.items()}
					with open(__magic_name__     ,			encoding="""utf-8""" ) as merges_handle:
								__snake_case				:			int       			=    merges_handle.read().split("""\n""" )[:-1]
					__snake_case				:			Dict       			=    [tuple(merge.split()[:2] ) for merge in merges]
					__snake_case				:			int       			=    dict(zip(__magic_name__     ,			range(len(__magic_name__ ) ) ) )
					__snake_case				:			Union[str, Any]       			=    {}

		@property
		def   lowercase__    (      self				:      List[str] )				->						int:


					"""simple docstring"""

					return len(self.encoder )

		def   lowercase__    (      self				:      str )				->						Any:


					"""simple docstring"""

					return dict(self.encoder     ,			**self.added_tokens_encoder )

		def   lowercase__    (      self				:      List[Any]     ,			__magic_name__				:      List[str]     ,			__magic_name__				:      Union[str, Any] )				->						List[str]:


					"""simple docstring"""

					if lang not in self.cache_moses_tokenizer:
								__snake_case				:			Optional[int]       			=    self.sm.MosesTokenizer(lang=__magic_name__ )
								__snake_case				:			Any       			=    moses_tokenizer
					return self.cache_moses_tokenizer[lang].tokenize(
					    __magic_name__     ,			aggressive_dash_splits=__magic_name__     ,			return_str=__magic_name__     ,			escape=__magic_name__ )

		def   lowercase__    (      self				:      Optional[Any]     ,			__magic_name__				:      Tuple     ,			__magic_name__				:      Dict )				->						List[Any]:


					"""simple docstring"""

					if lang not in self.cache_moses_detokenizer:
								__snake_case				:			Tuple       			=    self.sm.MosesDetokenizer(lang=__magic_name__ )
								__snake_case				:			List[str]       			=    moses_detokenizer
					return self.cache_moses_detokenizer[lang].detokenize(__magic_name__ )

		def   lowercase__    (      self				:      Union[str, Any]     ,			__magic_name__				:      List[str] )				->						int:


					"""simple docstring"""

					__snake_case				:			Tuple       			=    tuple(token[:-1] ) + (token[-1] + """</w>""",)
					if token in self.cache:
								return self.cache[token]
					__snake_case				:			Any       			=    get_pairs(__magic_name__ )

					if not pairs:
								return token + "</w>"

					while True:
								__snake_case				:			List[Any]       			=    min(__magic_name__     ,			key=lambda __magic_name__ : self.bpe_ranks.get(__magic_name__     ,			float("""inf""" ) ) )
								if bigram not in self.bpe_ranks:
											break
								__snake_case			,    __snake_case				:			int       			=    bigram
								__snake_case				:			Dict       			=    []
								__snake_case				:			List[str]       			=    0
								while i < len(__magic_name__ ):
											try:
														__snake_case				:			Union[str, Any]       			=    word.index(__magic_name__     ,			__magic_name__ )
											except ValueError:
														new_word.extend(word[i:] )
														break
											else:
														new_word.extend(word[i:j] )
														__snake_case				:			Union[str, Any]       			=    j

											if word[i] == first and i < len(__magic_name__ ) - 1 and word[i + 1] == second:
														new_word.append(first + second )
														i += 2
											else:
														new_word.append(word[i] )
														i += 1
								__snake_case				:			Optional[int]       			=    tuple(__magic_name__ )
								__snake_case				:			List[str]       			=    new_word
								if len(__magic_name__ ) == 1:
											break
								else:
											__snake_case				:			Optional[int]       			=    get_pairs(__magic_name__ )
					__snake_case				:			Optional[int]       			=    """ """.join(__magic_name__ )
					if word == "\n  </w>":
								__snake_case				:			Dict       			=    """\n</w>"""
					__snake_case				:			Union[str, Any]       			=    word
					return word

		def   lowercase__    (      self				:      str     ,			__magic_name__				:      List[str]     ,			__magic_name__				:      Any=False )				->						Optional[Any]:


					"""simple docstring"""

					if bypass_tokenizer:
								__snake_case				:			Tuple       			=    text.split()
					else:
								__snake_case				:			str       			=    self.moses_tokenize(__magic_name__     ,			self.lang )

					__snake_case				:			Optional[int]       			=    []
					for token in text:
								if token:
											split_tokens.extend(list(self.bpe(__magic_name__ ).split(""" """ ) ) )

					return split_tokens

		def   lowercase__    (      self				:      Optional[Any]     ,			__magic_name__				:      List[Any] )				->						Union[str, Any]:


					"""simple docstring"""

					return self.encoder.get(__magic_name__     ,			self.encoder.get(self.unk_token ) )

		def   lowercase__    (      self				:      str     ,			__magic_name__				:      Optional[int] )				->						Optional[int]:


					"""simple docstring"""

					return self.decoder.get(__magic_name__     ,			self.unk_token )

		def   lowercase__    (      self				:      List[Any]     ,			__magic_name__				:      List[Any] )				->						List[str]:


					"""simple docstring"""

					__snake_case				:			Dict       			=    [t.replace(""" """     ,			"""""" ).replace("""</w>"""     ,			""" """ ) for t in tokens]
					__snake_case				:			Optional[int]       			=    """""".join(__magic_name__ ).split()
					# detokenize
					__snake_case				:			Union[str, Any]       			=    self.moses_detokenize(__magic_name__     ,			self.lang )
					return text

		def   lowercase__    (      self				:      Optional[Any]     ,			__magic_name__				:      List[int]     ,			__magic_name__				:      Optional[List[int]] = None )				->						List[int]:


					"""simple docstring"""

					if token_ids_a is None:
								return [self.sep_token_id] + token_ids_a
					__snake_case				:			Dict       			=    [self.sep_token_id]
					return sep + token_ids_a + sep + token_ids_a

		def   lowercase__    (      self				:      Optional[Any]     ,			__magic_name__				:      List[int]     ,			__magic_name__				:      Optional[List[int]] = None     ,			__magic_name__				:      bool = False )				->						List[int]:


					"""simple docstring"""

					if already_has_special_tokens:
								return super().get_special_tokens_mask(
								    token_ids_a=__magic_name__     ,			token_ids_a=__magic_name__     ,			already_has_special_tokens=__magic_name__ )
					# no bos used in fairseq
					if token_ids_a is not None:
								return [1] + ([0] * len(__magic_name__ )) + [1] + ([0] * len(__magic_name__ ))
					return [1] + ([0] * len(__magic_name__ ))

		def   lowercase__    (      self				:      Optional[Any]     ,			__magic_name__				:      List[int]     ,			__magic_name__				:      Optional[List[int]] = None )				->						List[int]:


					"""simple docstring"""

					__snake_case				:			Tuple       			=    [self.sep_token_id]

					# no bos used in fairseq
					if token_ids_a is None:
								return len(token_ids_a + sep ) * [0]
					return len(token_ids_a + sep ) * [0] + len(token_ids_a + sep ) * [1]

		def   lowercase__    (      self				:      List[str]     ,			__magic_name__				:      str     ,			__magic_name__				:      Optional[str] = None )				->						Tuple[str]:


					"""simple docstring"""

					if not os.path.isdir(__magic_name__ ):
								logger.error(f'''Vocabulary path ({save_directory}) should be a directory''' )
								return
					__snake_case				:			int       			=    os.path.join(
					    __magic_name__     ,			(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""] )
					__snake_case				:			Any       			=    os.path.join(
					    __magic_name__     ,			(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""] )

					with open(__magic_name__     ,			"""w"""     ,			encoding="""utf-8""" ) as f:
								f.write(json.dumps(self.encoder     ,			indent=2     ,			sort_keys=__magic_name__     ,			ensure_ascii=__magic_name__ ) + """\n""" )

					__snake_case				:			Optional[int]       			=    0
					with open(__magic_name__     ,			"""w"""     ,			encoding="""utf-8""" ) as writer:
								for bpe_tokens, token_index in sorted(self.bpe_ranks.items()     ,			key=lambda __magic_name__ : kv[1] ):
											if index != token_index:
														logger.warning(
														    f'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
														    """ Please check that the tokenizer is not corrupted!""" )
														__snake_case				:			Any       			=    token_index
											writer.write(""" """.join(__magic_name__ ) + """\n""" )
											index += 1

					return vocab_file, merge_file

		def __getstate__(      self				:      Optional[Any] )				->						int:


					"""simple docstring"""

					__snake_case				:			Optional[Any]       			=    self.__dict__.copy()
					__snake_case				:			List[Any]       			=    None
					return state

		def __setstate__(      self				:      Optional[Any]     ,			__magic_name__				:      Tuple )				->						Tuple:


					"""simple docstring"""

					__snake_case				:			Optional[int]       			=    d

					try:
								import sacremoses
					except ImportError:
								raise ImportError(
								    """You need to install sacremoses to use XLMTokenizer. """
								    """See https://pypi.org/project/sacremoses/ for installation.""" )

					__snake_case				:			str       			=    sacremoses









'''simple docstring'''






from __future__ import annotations

from typing import Any




class    _A   :

		def __init__(      self				:      Optional[int]     ,			__magic_name__				:      Any     ,			__magic_name__				:      Any )				->						None:  # noqa: A002


					"""simple docstring"""

					__snake_case				:			List[Any]       			=    item
					__snake_case				:			List[Any]       			=    next





class    _A   :

		def __init__(      self				:      str )				->						None:


					"""simple docstring"""

					__snake_case				:			Node | None       			=    None
					__snake_case				:			Optional[Any]       			=    0

		def   lowercase__    (      self				:      Optional[Any]     ,			__magic_name__				:      Any )				->						None:


					"""simple docstring"""

					__snake_case				:			int       			=    Node(__magic_name__     ,			self.head )
					self.size += 1

		def   lowercase__    (      self				:      Tuple )				->						Any:


					"""simple docstring"""

					if self.head is None:
								return None
					else:
								__snake_case				:			Union[str, Any]       			=    self.head.item
								__snake_case				:			Union[str, Any]       			=    self.head.next
								self.size -= 1
								return item

		def   lowercase__    (      self				:      str )				->						bool:


					"""simple docstring"""

					return self.head is None

		def __str__(      self				:      str )				->						str:


					"""simple docstring"""

					if self.is_empty():
								return ""
					else:
								__snake_case				:			Dict       			=    self.head
								__snake_case				:			Optional[int]       			=    """"""
								__snake_case				:			list[str]       			=    []
								while iterate:
											item_list.append(str(iterate.item ) )
											__snake_case				:			int       			=    iterate.next

								__snake_case				:			Union[str, Any]       			=    """ --> """.join(__magic_name__ )

								return item_str

		def __len__(      self				:      Optional[int] )				->						int:


					"""simple docstring"""

					return self.size


