




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

from transformers.utils import is_jieba_available, requires_backends


if is_jieba_available():
			import jieba

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


UpperCAmelCase__				     = logging.get_logger(__name__)

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

UpperCAmelCase__				     = {
    "vocab_file": {
        "openbmb/cpm-ant-10b": "https://huggingface.co/openbmb/cpm-ant-10b/blob/main/vocab.txt",
    },
}

UpperCAmelCase__				     = {
    "openbmb/cpm-ant-10b": 1024,
}







def 		_A(       UpperCamelCase__							:			Tuple				)    -> Optional[int]:
							'''simple docstring'''


							__lowercase      =    collections.OrderedDict()
							with open(UpperCamelCase__				,       '''r'''				,       encoding='''utf-8'''				) as reader:
														__lowercase      =    reader.readlines()
							for index, token in enumerate(UpperCamelCase__				):
														__lowercase      =    token.rstrip('''\n'''				)
														__lowercase      =    index
							return vocab







class a (     __SCREAMING_SNAKE_CASE  ):
						"""simple docstring"""

						def __init__( self :     Optional[int]				,							lowerCamelCase__ :     int				,							lowerCamelCase__ :     int="<unk>"				,							lowerCamelCase__ :     List[str]=200				)    ->						int:
													"""simple docstring"""


													__lowercase      =    vocab
													__lowercase      =    unk_token
													__lowercase      =    max_input_chars_per_word






						def     UpperCAmelCase_      ( self :     Tuple				,							lowerCamelCase__ :     Union[str, Any]				)    ->						List[Any]:
													"""simple docstring"""


													__lowercase      =    list(lowerCamelCase__				)
													if len(lowerCamelCase__				) > self.max_input_chars_per_word:
																				return [self.unk_token]

													__lowercase      =    0
													__lowercase      =    []
													while start < len(lowerCamelCase__				):
																				__lowercase      =    len(lowerCamelCase__				)
																				__lowercase      =    None
																				while start < end:
																											__lowercase      =    ''''''.join(chars[start:end]				)
																											if substr in self.vocab:
																																		__lowercase      =    substr
																																		break
																											end -= 1
																				if cur_substr is None:
																											sub_tokens.append(self.unk_token				)
																											start += 1
																				else:
																											sub_tokens.append(lowerCamelCase__				)
																											__lowercase      =    end

													return sub_tokens







class a (     __SCREAMING_SNAKE_CASE  ):
						"""simple docstring"""

						UpperCamelCase_	:       List[str]       	=		VOCAB_FILES_NAMES
						UpperCamelCase_	:       List[Any]       	=		PRETRAINED_VOCAB_FILES_MAP
						UpperCamelCase_	:       Optional[Any]       	=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						UpperCamelCase_	:       int       	=		['input_ids', 'attention_mask']
						UpperCamelCase_	:       List[Any]       	=		False






						def __init__( self :     Optional[Any]				,							lowerCamelCase__ :     Optional[int]				,							lowerCamelCase__ :     int="<d>"				,							lowerCamelCase__ :     List[Any]="</d>"				,							lowerCamelCase__ :     Optional[Any]="<s>"				,							lowerCamelCase__ :     Optional[int]="</s>"				,							lowerCamelCase__ :     Optional[Any]="<pad>"				,							lowerCamelCase__ :     Dict="<unk>"				,							lowerCamelCase__ :     List[str]="</n>"				,							lowerCamelCase__ :     List[str]="</_>"				,							lowerCamelCase__ :     Any="left"				,							**lowerCamelCase__ :     Optional[Any]				,							)    ->						List[str]:
													"""simple docstring"""


													requires_backends(self				,							['''jieba''']				)
													super().__init__(
													    bod_token=lowerCamelCase__				,							eod_token=lowerCamelCase__				,							bos_token=lowerCamelCase__				,							eos_token=lowerCamelCase__				,							pad_token=lowerCamelCase__				,							unk_token=lowerCamelCase__				,							line_token=lowerCamelCase__				,							space_token=lowerCamelCase__				,							padding_side=lowerCamelCase__				,							**lowerCamelCase__				,							)
													__lowercase      =    bod_token
													__lowercase      =    eod_token
													__lowercase      =    load_vocab(lowerCamelCase__				)
													__lowercase      =    self.encoder[space_token]
													__lowercase      =    self.encoder[line_token]

													del self.encoder[space_token]
													del self.encoder[line_token]

													__lowercase      =    collections.OrderedDict(sorted(self.encoder.items()				,							key=lambda lowerCamelCase__				: x[1]				)				)
													__lowercase      =    {v: k for k, v in self.encoder.items()}

													__lowercase      =    WordpieceTokenizer(vocab=self.encoder				,							unk_token=self.unk_token				)






						@property
						def     UpperCAmelCase_      ( self :     List[str]				)    ->						List[str]:
													"""simple docstring"""


													return self.encoder[self.bod_token]






						@property
						def     UpperCAmelCase_      ( self :     Any				)    ->						Union[str, Any]:
													"""simple docstring"""


													return self.encoder[self.eod_token]






						@property
						def     UpperCAmelCase_      ( self :     Optional[int]				)    ->						Tuple:
													"""simple docstring"""


													return self.encoder["\n"]






						@property
						def     UpperCAmelCase_      ( self :     str				)    ->						int:
													"""simple docstring"""


													return len(self.encoder				)






						def     UpperCAmelCase_      ( self :     Dict				)    ->						List[str]:
													"""simple docstring"""


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






						def     UpperCAmelCase_      ( self :     List[Any]				,							lowerCamelCase__ :     List[str]				)    ->						Optional[Any]:
													"""simple docstring"""


													__lowercase      =    []
													for x in jieba.cut(lowerCamelCase__				,							cut_all=lowerCamelCase__				):
																				output_tokens.extend(self.wordpiece_tokenizer.tokenize(lowerCamelCase__				)				)
													return output_tokens






						def     UpperCAmelCase_      ( self :     List[str]				,							lowerCamelCase__ :     str				,							**lowerCamelCase__ :     int				)    ->						Union[str, Any]:
													"""simple docstring"""


													__lowercase      =    [i for i in token_ids if i >= 0]
													__lowercase      =    [
													    x for x in token_ids if x != self.pad_token_id and x != self.eos_token_id and x != self.bos_token_id
													]
													return super()._decode(lowerCamelCase__				,							**lowerCamelCase__				)






						def     UpperCAmelCase_      ( self :     List[str]				,							lowerCamelCase__ :     List[Any]				)    ->						Optional[int]:
													"""simple docstring"""


													return token in self.encoder






						def     UpperCAmelCase_      ( self :     int				,							lowerCamelCase__ :     List[str]				)    ->						str:
													"""simple docstring"""


													return "".join(lowerCamelCase__				)






						def     UpperCAmelCase_      ( self :     Any				,							lowerCamelCase__ :     Dict				)    ->						int:
													"""simple docstring"""


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






						def     UpperCAmelCase_      ( self :     Optional[int]				,							lowerCamelCase__ :     Tuple				)    ->						Any:
													"""simple docstring"""


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






						def     UpperCAmelCase_      ( self :     Optional[Any]				,							lowerCamelCase__ :     str				,							lowerCamelCase__ :     Optional[str] = None				)    ->						Tuple[str]:
													"""simple docstring"""


													if os.path.isdir(lowerCamelCase__				):
																				__lowercase      =    os.path.join(
																				    lowerCamelCase__				,							(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']				)
													else:
																				__lowercase      =    (filename_prefix + '''-''' if filename_prefix else '''''') + save_directory
													__lowercase      =    0
													if " " in self.encoder:
																				__lowercase      =    self.encoder[''' ''']
																				del self.encoder[" "]
													if "\n" in self.encoder:
																				__lowercase      =    self.encoder['''\n''']
																				del self.encoder["\n"]
													__lowercase      =    collections.OrderedDict(sorted(self.encoder.items()				,							key=lambda lowerCamelCase__				: x[1]				)				)
													with open(lowerCamelCase__				,							'''w'''				,							encoding='''utf-8'''				) as writer:
																				for token, token_index in self.encoder.items():
																											if index != token_index:
																																		logger.warning(
																																		    f'Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive.'
																																		    ''' Please check that the vocabulary is not corrupted!'''				)
																																		__lowercase      =    token_index
																											writer.write(token + '''\n'''				)
																											index += 1
													return (vocab_file,)






						def     UpperCAmelCase_      ( self :     Any				,							lowerCamelCase__ :     List[int]				,							lowerCamelCase__ :     List[int] = None				)    ->						List[int]:
													"""simple docstring"""


													if token_ids_a is None:
																				return [self.bos_token_id] + token_ids_a
													return [self.bos_token_id] + token_ids_a + [self.bos_token_id] + token_ids_a






						def     UpperCAmelCase_      ( self :     List[Any]				,							lowerCamelCase__ :     List[int]				,							lowerCamelCase__ :     Optional[List[int]] = None				,							lowerCamelCase__ :     bool = False				)    ->						List[int]:
													"""simple docstring"""


													if already_has_special_tokens:
																				return super().get_special_tokens_mask(
																				    token_ids_a=lowerCamelCase__				,							token_ids_a=lowerCamelCase__				,							already_has_special_tokens=lowerCamelCase__				)

													if token_ids_a is not None:
																				return [1] + ([0] * len(lowerCamelCase__				)) + [1] + ([0] * len(lowerCamelCase__				))
													return [1] + ([0] * len(lowerCamelCase__				))











from typing import TYPE_CHECKING

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


UpperCAmelCase__				     = {
    "configuration_m2m_100": ["M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP", "M2M100Config", "M2M100OnnxConfig"],
    "tokenization_m2m_100": ["M2M100Tokenizer"],
}


try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			UpperCAmelCase__				     = [
			    "M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST",
			    "M2M100ForConditionalGeneration",
			    "M2M100Model",
			    "M2M100PreTrainedModel",
			]


if TYPE_CHECKING:
			from .configuration_mam_aaa import M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP, MaMaaaConfig, MaMaaaOnnxConfig
			from .tokenization_mam_aaa import MaMaaaTokenizer

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_mam_aaa import (
						    M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST,
						    MaMaaaForConditionalGeneration,
						    MaMaaaModel,
						    MaMaaaPreTrainedModel,
						)


else:
			import sys

			UpperCAmelCase__				     = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)






