






"""simple docstring"""







import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mvp import MvpTokenizer


_UpperCamelCase					      =  logging.get_logger(__name__)


_UpperCamelCase					      =  {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

# See all MVP models at https://huggingface.co/models?filter=mvp
_UpperCamelCase					      =  {
    """vocab_file""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json""",
    },
    """added_tokens.json""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json""",
    },
    """merges_file""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt""",
    },
    """tokenizer_file""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/tokenizer.json""",
    },
}

_UpperCamelCase					      =  {
    """RUCAIBox/mvp""": 1024,
}







class  lowerCamelCase__ (	a_			):
    SCREAMING_SNAKE_CASE		=      VOCAB_FILES_NAMES
    SCREAMING_SNAKE_CASE		=      PRETRAINED_VOCAB_FILES_MAP
    SCREAMING_SNAKE_CASE		=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    SCREAMING_SNAKE_CASE		=      ['''input_ids''', '''attention_mask''']
    SCREAMING_SNAKE_CASE		=      MvpTokenizer






    def __init__(			self     ,A=None     ,A=None     ,A=None     ,A="replace"     ,A="<s>"     ,A="</s>"     ,A="</s>"     ,A="<s>"     ,A="<unk>"     ,A="<pad>"     ,A="<mask>"     ,A=False     ,A=True     ,**A     ,):
          super().__init__(
              lowercase_     ,lowercase_     ,tokenizer_file=lowercase_     ,errors=lowercase_     ,bos_token=lowercase_     ,eos_token=lowercase_     ,sep_token=lowercase_     ,cls_token=lowercase_     ,unk_token=lowercase_     ,pad_token=lowercase_     ,mask_token=lowercase_     ,add_prefix_space=lowercase_     ,trim_offsets=lowercase_     ,**lowercase_     ,)

          UpperCAmelCase          =	json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__() )
          if pre_tok_state.get("""add_prefix_space"""     ,lowercase_ ) != add_prefix_space:
                UpperCAmelCase          =	getattr(lowercase_     ,pre_tok_state.pop("""type""" ) )
                UpperCAmelCase          =	add_prefix_space
                UpperCAmelCase          =	pre_tok_class(**lowercase_ )

          UpperCAmelCase          =	add_prefix_space

          # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
          UpperCAmelCase          =	"""post_processor"""
          UpperCAmelCase          =	getattr(self.backend_tokenizer     ,lowercase_     ,lowercase_ )
          if tokenizer_component_instance:
                UpperCAmelCase          =	json.loads(tokenizer_component_instance.__getstate__() )

                # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
                if "sep" in state:
                      UpperCAmelCase          =	tuple(state["""sep"""] )
                if "cls" in state:
                      UpperCAmelCase          =	tuple(state["""cls"""] )

                UpperCAmelCase          =	False

                if state.get("""add_prefix_space"""     ,lowercase_ ) != add_prefix_space:
                      UpperCAmelCase          =	add_prefix_space
                      UpperCAmelCase          =	True

                if state.get("""trim_offsets"""     ,lowercase_ ) != trim_offsets:
                      UpperCAmelCase          =	trim_offsets
                      UpperCAmelCase          =	True

                if changes_to_apply:
                      UpperCAmelCase          =	getattr(lowercase_     ,state.pop("""type""" ) )
                      UpperCAmelCase          =	component_class(**lowercase_ )
                      setattr(self.backend_tokenizer     ,lowercase_     ,lowercase_ )






    @property
    def     _UpperCamelCase							(			self ):

          if self._mask_token is None:
                if self.verbose:
                      logger.error("""Using mask_token, but it is not set yet.""" )
                return None
          return str(self._mask_token )






    @mask_token.setter
    def     _UpperCamelCase							(			self     ,A ):
          UpperCAmelCase          =	AddedToken(lowercase_     ,lstrip=lowercase_     ,rstrip=lowercase_ ) if isinstance(lowercase_     ,lowercase_ ) else value
          UpperCAmelCase          =	value






    def     _UpperCamelCase							(			self     ,*A     ,**A ):
          UpperCAmelCase          =	kwargs.get("""is_split_into_words"""     ,lowercase_ )

          if is_split_into_words and not self.add_prefix_space:
                raise ValueError(
                    F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
                    """to use it with pretokenized inputs.""" )

          return super()._batch_encode_plus(*lowercase_     ,**lowercase_ )






    def     _UpperCamelCase							(			self     ,*A     ,**A ):
          UpperCAmelCase          =	kwargs.get("""is_split_into_words"""     ,lowercase_ )

          if is_split_into_words and not self.add_prefix_space:
                raise ValueError(
                    F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
                    """to use it with pretokenized inputs.""" )

          return super()._encode_plus(*lowercase_     ,**lowercase_ )






    def     _UpperCamelCase							(			self     ,A     ,A = None ):
          UpperCAmelCase          =	self._tokenizer.model.save(lowercase_     ,name=lowercase_ )
          return tuple(lowercase_ )






    def     _UpperCamelCase							(			self     ,A     ,A=None ):
          UpperCAmelCase          =	[self.bos_token_id] + token_ids_a + [self.eos_token_id]
          if token_ids_a is None:
                return output

          return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]






    def     _UpperCamelCase							(			self     ,A     ,A = None ):
          UpperCAmelCase          =	[self.sep_token_id]
          UpperCAmelCase          =	[self.cls_token_id]

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











"""simple docstring"""







from typing import TYPE_CHECKING

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


_UpperCamelCase					      =  {"""configuration_glpn""": ["""GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GLPNConfig"""]}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _UpperCamelCase					      =  ["""GLPNFeatureExtractor"""]
  _UpperCamelCase					      =  ["""GLPNImageProcessor"""]

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _UpperCamelCase					      =  [
      """GLPN_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """GLPNForDepthEstimation""",
      """GLPNLayer""",
      """GLPNModel""",
      """GLPNPreTrainedModel""",
  ]


if TYPE_CHECKING:
  from .configuration_glpn import GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP, GLPNConfig

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .feature_extraction_glpn import GLPNFeatureExtractor
    from .image_processing_glpn import GLPNImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_glpn import (
        GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
        GLPNForDepthEstimation,
        GLPNLayer,
        GLPNModel,
        GLPNPreTrainedModel,
    )


else:
  import sys

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



