





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

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


__A    :   Union[str, Any]          =       logging.get_logger(__name__)

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

__A    :   Any          =       {
    "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"},
}

__A    :   Optional[int]          =       {
    "microsoft/biogpt": 1_024,
}





def 						__SCREAMING_SNAKE_CASE  (    UpperCamelCase__			)  ->    Optional[int]:







			'''simple docstring'''

			UpperCAmelCase       		=    set()
			UpperCAmelCase       		=    word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)			)
						UpperCAmelCase       		=    char
			return pairs






class      A_	(a_      ):
	UpperCAmelCase__ =      VOCAB_FILES_NAMES
	UpperCAmelCase__ =      PRETRAINED_VOCAB_FILES_MAP
	UpperCAmelCase__ =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	UpperCAmelCase__ =      ['''input_ids''', '''attention_mask''']
	def __init__(   self							, _A							, _A							, _A="<unk>"							, _A="<s>"							, _A="</s>"							, _A="</s>"							, _A="<pad>"							, **_A							, ):






				'''simple docstring'''







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

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

				UpperCAmelCase       		=    '''en'''
				UpperCAmelCase       		=    sacremoses
				# cache of sm.MosesTokenizer instance
				UpperCAmelCase       		=    {}
				UpperCAmelCase       		=    {}
				with open(_A							, encoding='''utf-8'''		) as vocab_handle:
							UpperCAmelCase       		=    json.load(_A		)
				UpperCAmelCase       		=    {v: k for k, v in self.encoder.items()}
				with open(_A							, encoding='''utf-8'''		) as merges_handle:
							UpperCAmelCase       		=    merges_handle.read().split('''\n'''		)[:-1]
				UpperCAmelCase       		=    [tuple(merge.split()[:2]		) for merge in merges]
				UpperCAmelCase       		=    dict(zip(_A							, range(len(_A		)		)		)		)
				UpperCAmelCase       		=    {}
	@property
	def 					_lowercase    (   self		):






				'''simple docstring'''







				return len(self.encoder		)
	def 					_lowercase    (   self		):






				'''simple docstring'''







				return dict(self.encoder							, **self.added_tokens_encoder		)
	def 					_lowercase    (   self							, _A							, _A		):






				'''simple docstring'''







				if lang not in self.cache_moses_tokenizer:
							UpperCAmelCase       		=    self.sm.MosesTokenizer(lang=_A		)
							UpperCAmelCase       		=    moses_tokenizer
				return self.cache_moses_tokenizer[lang].tokenize(
				    _A							, aggressive_dash_splits=_A							, return_str=_A							, escape=_A		)
	def 					_lowercase    (   self							, _A							, _A		):






				'''simple docstring'''







				if lang not in self.cache_moses_detokenizer:
							UpperCAmelCase       		=    self.sm.MosesDetokenizer(lang=_A		)
							UpperCAmelCase       		=    moses_detokenizer
				return self.cache_moses_detokenizer[lang].detokenize(_A		)
	def 					_lowercase    (   self							, _A		):






				'''simple docstring'''







				UpperCAmelCase       		=    tuple(token[:-1]		) + (token[-1] + '''</w>''',)
				if token in self.cache:
							return self.cache[token]
				UpperCAmelCase       		=    get_pairs(_A		)

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

				while True:
							UpperCAmelCase       		=    min(_A							, key=lambda _A		: self.bpe_ranks.get(_A							, float('''inf'''		)		)		)
							if bigram not in self.bpe_ranks:
										break
							UpperCAmelCase		,      UpperCAmelCase       		=    bigram
							UpperCAmelCase       		=    []
							UpperCAmelCase       		=    0
							while i < len(_A		):
										try:
													UpperCAmelCase       		=    word.index(_A							, _A		)
										except ValueError:
													new_word.extend(word[i:]		)
													break
										else:
													new_word.extend(word[i:j]		)
													UpperCAmelCase       		=    j

										if word[i] == first and i < len(_A		) - 1 and word[i + 1] == second:
													new_word.append(first + second		)
													i += 2
										else:
													new_word.append(word[i]		)
													i += 1
							UpperCAmelCase       		=    tuple(_A		)
							UpperCAmelCase       		=    new_word
							if len(_A		) == 1:
										break
							else:
										UpperCAmelCase       		=    get_pairs(_A		)
				UpperCAmelCase       		=    ''' '''.join(_A		)
				if word == "\n  </w>":
							UpperCAmelCase       		=    '''\n</w>'''
				UpperCAmelCase       		=    word
				return word
	def 					_lowercase    (   self							, _A							, _A=False		):






				'''simple docstring'''







				if bypass_tokenizer:
							UpperCAmelCase       		=    text.split()
				else:
							UpperCAmelCase       		=    self.moses_tokenize(_A							, self.lang		)

				UpperCAmelCase       		=    []
				for token in text:
							if token:
										split_tokens.extend(list(self.bpe(_A		).split(''' '''		)		)		)

				return split_tokens
	def 					_lowercase    (   self							, _A		):






				'''simple docstring'''







				return self.encoder.get(_A							, self.encoder.get(self.unk_token		)		)
	def 					_lowercase    (   self							, _A		):






				'''simple docstring'''







				return self.decoder.get(_A							, self.unk_token		)
	def 					_lowercase    (   self							, _A		):






				'''simple docstring'''







				UpperCAmelCase       		=    [t.replace(''' '''							, ''''''		).replace('''</w>'''							, ''' '''		) for t in tokens]
				UpperCAmelCase       		=    ''''''.join(_A		).split()
				# detokenize
				UpperCAmelCase       		=    self.moses_detokenize(_A							, self.lang		)
				return text
	def 					_lowercase    (   self							, _A							, _A = None		):






				'''simple docstring'''







				if token_ids_a is None:
							return [self.sep_token_id] + token_ids_a
				UpperCAmelCase       		=    [self.sep_token_id]
				return sep + token_ids_a + sep + token_ids_a
	def 					_lowercase    (   self							, _A							, _A = None							, _A = False		):






				'''simple docstring'''







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






				'''simple docstring'''







				UpperCAmelCase       		=    [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							, _A							, _A = None		):






				'''simple docstring'''







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

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

				UpperCAmelCase       		=    0
				with open(_A							, '''w'''							, encoding='''utf-8'''		) as writer:
							for bpe_tokens, token_index in sorted(self.bpe_ranks.items()							, key=lambda _A		: 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!'''		)
													UpperCAmelCase       		=    token_index
										writer.write(''' '''.join(_A		) + '''\n'''		)
										index += 1

				return vocab_file, merge_file
	def __getstate__(   self		):






				'''simple docstring'''







				UpperCAmelCase       		=    self.__dict__.copy()
				UpperCAmelCase       		=    None
				return state







	def __setstate__(   self							, _A		):






				'''simple docstring'''







				UpperCAmelCase       		=    d

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

				UpperCAmelCase       		=    sacremoses










from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_tokenizers_available


__A    :   Any          =       {}

try:
				if not is_sentencepiece_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__A    :   Union[str, Any]          =       ["CpmTokenizer"]

try:
				if not is_tokenizers_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__A    :   List[Any]          =       ["CpmTokenizerFast"]


if TYPE_CHECKING:
				try:
								if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_cpm import CpmTokenizer

				try:
								if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_cpm_fast import CpmTokenizerFast

else:
				import sys

				__A    :   str          =       _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



