
'''simple docstring'''






import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import AddedToken, PreTrainedTokenizerFast
from ...utils import logging


__lowercase	=    logging.get_logger(__name__)

__lowercase	=    {'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

__lowercase	=    {
    '''vocab_file''': {
        '''TsinghuaAI/CPM-Generate''': '''https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model''',
    },
    '''tokenizer_file''': {
        '''TsinghuaAI/CPM-Generate''': '''https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/tokenizer.json''',
    },
}

class 							_snake_case     (  lowerCAmelCase_ ):
	"""simple docstring"""





	def __init__(						self				: List[str]					,						UpperCamelCase_				: Optional[int]=None					,						UpperCamelCase_				: List[str]=None					,						UpperCamelCase_				: Optional[int]=False					,						UpperCamelCase_				: List[str]=True					,						UpperCamelCase_				: Optional[Any]=False					,						UpperCamelCase_				: Tuple="<s>"					,						UpperCamelCase_				: Optional[Any]="</s>"					,						UpperCamelCase_				: str="<unk>"					,						UpperCamelCase_				: Optional[int]="<sep>"					,						UpperCamelCase_				: str="<pad>"					,						UpperCamelCase_				: List[Any]="<cls>"					,						UpperCamelCase_				: Optional[Any]="<mask>"					,						UpperCamelCase_				: Optional[int]=["<eop>", "<eod>"]					,						**UpperCamelCase_				: int					,						):
			lowerCAmelCase_   :       Any    							=AddedToken(UpperCamelCase_					,						lstrip=UpperCamelCase_					,						rstrip=UpperCamelCase_      ) if isinstance(UpperCamelCase_					,						UpperCamelCase_      ) else mask_token

			super().__init__(
			    vocab_file=UpperCamelCase_					,						tokenizer_file=UpperCamelCase_					,						do_lower_case=UpperCamelCase_					,						remove_space=UpperCamelCase_					,						keep_accents=UpperCamelCase_					,						bos_token=UpperCamelCase_					,						eos_token=UpperCamelCase_					,						unk_token=UpperCamelCase_					,						sep_token=UpperCamelCase_					,						pad_token=UpperCamelCase_					,						cls_token=UpperCamelCase_					,						mask_token=UpperCamelCase_					,						additional_special_tokens=UpperCamelCase_					,						**UpperCamelCase_					,						)

			lowerCAmelCase_   :       Any    							=3
			lowerCAmelCase_   :       Union[str, Any]    							=do_lower_case
			lowerCAmelCase_   :       Optional[Any]    							=remove_space
			lowerCAmelCase_   :       Dict    							=keep_accents
			lowerCAmelCase_   :       Optional[Any]    							=vocab_file
			lowerCAmelCase_   :       List[str]    							=False if not self.vocab_file else True

			try:
					import jieba
			except ModuleNotFoundError as error:
					raise error.__class__(
					    '''You need to install jieba to use CpmTokenizer or CpmTokenizerFast. '''
					    '''See https://pypi.org/project/jieba/ for installation.'''      )
			lowerCAmelCase_   :       int    							=jieba
			lowerCAmelCase_   :       Union[str, Any]    							=str.maketrans(''' \n'''					,						'''\u2582\u2583'''      )




	def 	__A      (						self				: Any					,						UpperCamelCase_				: List[int]					,						UpperCamelCase_				: Optional[List[int]] = None      ):
			lowerCAmelCase_   :       Any    							=[self.sep_token_id]
			lowerCAmelCase_   :       int    							=[self.cls_token_id]
			if token_ids_a is None:
					return token_ids_a + sep + cls
			return token_ids_a + sep + token_ids_a + sep + cls




	def 	__A      (						self				: Optional[int]					,						UpperCamelCase_				: List[int]					,						UpperCamelCase_				: Optional[List[int]] = None      ):
			lowerCAmelCase_   :       str    							=[self.sep_token_id]
			lowerCAmelCase_   :       str    							=[2]

			if token_ids_a is None:
					return len(token_ids_a + sep      ) * [0] + cls_segment_id
			return len(token_ids_a + sep      ) * [0] + len(token_ids_a + sep      ) * [1] + cls_segment_id




	def 	__A      (						self				: Dict					,						UpperCamelCase_				: str					,						UpperCamelCase_				: Optional[str] = None      ):
			if not self.can_save_slow_tokenizer:
					raise ValueError(
					    '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
					    '''tokenizer.'''      )

			if not os.path.isdir(UpperCamelCase_      ):
					logger.error(F'Vocabulary path ({save_directory}) should be a directory'      )
					return
			lowerCAmelCase_   :       Union[str, Any]    							=os.path.join(
			    UpperCamelCase_					,						(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']      )

			if os.path.abspath(self.vocab_file      ) != os.path.abspath(UpperCamelCase_      ):
					copyfile(self.vocab_file					,						UpperCamelCase_      )

			return (out_vocab_file,)




	def 	__A      (						self				: List[Any]					,						UpperCamelCase_				: List[Any]					,						*UpperCamelCase_				: Union[str, Any]					,						**UpperCamelCase_				: Any      ):
			lowerCAmelCase_   :       Tuple    							=[
			    ''' '''.join([x.translate(self.translator      ) for x in self.jieba.cut(UpperCamelCase_					,						cut_all=UpperCamelCase_      )]      )
			    for text in batch_text_or_text_pairs
			]
			return super()._batch_encode_plus(UpperCamelCase_					,						*UpperCamelCase_					,						**UpperCamelCase_      )





	def 	__A      (						self				: Tuple					,						*UpperCamelCase_				: str					,						**UpperCamelCase_				: Union[str, Any]      ):
			lowerCAmelCase_   :       Union[str, Any]    							=super()._decode(*UpperCamelCase_					,						**UpperCamelCase_      )
			lowerCAmelCase_   :       Optional[Any]    							=text.replace(''' '''					,						''''''      ).replace('''\u2582'''					,						''' '''      ).replace('''\u2583'''					,						'''\n'''      )
			return text








'''simple docstring'''






from typing import TYPE_CHECKING

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


__lowercase	=    {'''configuration_detr''': ['''DETR_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''DetrConfig''', '''DetrOnnxConfig''']}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__lowercase	=    ['''DetrFeatureExtractor''']
							__lowercase	=    ['''DetrImageProcessor''']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__lowercase	=    [
							    '''DETR_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''DetrForObjectDetection''',
							    '''DetrForSegmentation''',
							    '''DetrModel''',
							    '''DetrPreTrainedModel''',
							]


if TYPE_CHECKING:
							from .configuration_detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig, DetrOnnxConfig

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .feature_extraction_detr import DetrFeatureExtractor
														from .image_processing_detr import DetrImageProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_detr import (
														    DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
														    DetrForObjectDetection,
														    DetrForSegmentation,
														    DetrModel,
														    DetrPreTrainedModel,
														)

else:
							import sys

							__lowercase	=    _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)






