






"""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


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

UpperCamelCase_						:					Tuple      				=			{"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

UpperCamelCase_						:					Any      				=			{
    """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   _lowercase			(  lowerCAmelCase    ):


      def __init__(     self					:						Tuple				, a					:						List[str]=None				, a					:						Any=None				, a					:						Optional[Any]=False				, a					:						Any=True				, a					:						int=False				, a					:						Dict="<s>"				, a					:						Optional[Any]="</s>"				, a					:						Union[str, Any]="<unk>"				, a					:						Optional[int]="<sep>"				, a					:						List[Any]="<pad>"				, a					:						Any="<cls>"				, a					:						Dict="<mask>"				, a					:						int=["<eop>", "<eod>"]				, **a					:						str				, ):





            """simple docstring"""







            __snake_case   :     str	      =AddedToken(a				, lstrip=a				, rstrip=a    ) if isinstance(a				, a    ) else mask_token

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

            __snake_case   :     Optional[Any]	      =3
            __snake_case   :     Tuple	      =do_lower_case
            __snake_case   :     Optional[Any]	      =remove_space
            __snake_case   :     Optional[int]	      =keep_accents
            __snake_case   :     int	      =vocab_file
            __snake_case   :     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.'''    )
            __snake_case   :     int	      =jieba
            __snake_case   :     str	      =str.maketrans(''' \n'''				, '''\u2582\u2583'''    )


      def _UpperCamelCase    (     self					:						Dict				, a					:						List[int]				, a					:						Optional[List[int]] = None    ):





            """simple docstring"""







            __snake_case   :     List[Any]	      =[self.sep_token_id]
            __snake_case   :     Union[str, Any]	      =[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 _UpperCamelCase    (     self					:						Optional[int]				, a					:						List[int]				, a					:						Optional[List[int]] = None    ):





            """simple docstring"""







            __snake_case   :     Dict	      =[self.sep_token_id]
            __snake_case   :     Dict	      =[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 _UpperCamelCase    (     self					:						Optional[int]				, a					:						str				, a					:						Optional[str] = None    ):





            """simple docstring"""







            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(a    ):
                  logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''    )
                  return
            __snake_case   :     List[Any]	      =os.path.join(
                a				, (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']    )

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

            return (out_vocab_file,)


      def _UpperCamelCase    (     self					:						Optional[Any]				, a					:						Dict				, *a					:						Any				, **a					:						Optional[int]    ):





            """simple docstring"""







            __snake_case   :     str	      =[
                ''' '''.join([x.translate(self.translator    ) for x in self.jieba.cut(a				, cut_all=a    )]    )
                for text in batch_text_or_text_pairs
            ]
            return super()._batch_encode_plus(a				, *a				, **a    )







      def _UpperCamelCase    (     self					:						Optional[Any]				, *a					:						Union[str, Any]				, **a					:						List[Any]    ):





            """simple docstring"""







            __snake_case   :     List[Any]	      =super()._decode(*a				, **a    )
            __snake_case   :     List[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


UpperCamelCase_						:					Tuple      				=			{"""configuration_detr""": ["""DETR_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DetrConfig""", """DetrOnnxConfig"""]}

try:
    if not is_vision_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCamelCase_						:					Tuple      				=			["""DetrFeatureExtractor"""]
    UpperCamelCase_						:					int      				=			["""DetrImageProcessor"""]

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCamelCase_						:					Dict      				=			[
        """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

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


