






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

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


a	: Optional[int]      =				logging.get_logger(__name__)


a	: List[str]      =				{"vocab_file": "vocab.json", "merges_file": "merges.txt"}

# See all MVP models at https://huggingface.co/models?filter=mvp
a	: int      =				{
    "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",
    },
}

a	: Union[str, Any]      =				{
    "RUCAIBox/mvp": 1_024,
}






@lru_cache()
def        lowerCamelCase__   (					):
  __UpperCAmelCase							:			Union[str, Any]     =						(
      list(range(ord("""!"""	)						,	ord("""~"""	) + 1	)	) + list(range(ord("""¡"""	)						,	ord("""¬"""	) + 1	)	) + list(range(ord("""®"""	)						,	ord("""ÿ"""	) + 1	)	)
  )
  __UpperCAmelCase							:			Optional[Any]     =						bs[:]
  __UpperCAmelCase							:			List[str]     =						0
  for b in range(2**8	):
    if b not in bs:
      bs.append(__lowerCamelCase	)
      cs.append(2**8 + n	)
      n += 1
  __UpperCAmelCase							:			Any     =						[chr(__lowerCamelCase	) for n in cs]
  return dict(zip(__lowerCamelCase						,	__lowerCamelCase	)	)






def        lowerCamelCase__   (					__lowerCamelCase    :  Tuple	):
  __UpperCAmelCase							:			List[Any]     =						set()
  __UpperCAmelCase							:			List[str]     =						word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)	)
    __UpperCAmelCase							:			Dict     =						char
  return pairs







class 					a					(				lowercase__     ):



      """simple docstring"""


      a						:				Optional[Any]							 =			VOCAB_FILES_NAMES
      a						:				List[str]							 =			PRETRAINED_VOCAB_FILES_MAP
      a						:				Tuple							 =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      a						:				List[Any]							 =			['input_ids', 'attention_mask']
      def __init__(   self      :    Any	,   __lowercase      :    Union[str, Any]	,   __lowercase      :    Dict	,   __lowercase      :    str="replace"	,   __lowercase      :    List[Any]="<s>"	,   __lowercase      :    Optional[int]="</s>"	,   __lowercase      :    List[str]="</s>"	,   __lowercase      :    List[str]="<s>"	,   __lowercase      :    List[Any]="<unk>"	,   __lowercase      :    int="<pad>"	,   __lowercase      :    Optional[int]="<mask>"	,   __lowercase      :    Any=False	,   **__lowercase      :    Optional[Any]	,   )							->   int:
        __UpperCAmelCase							:			Union[str, Any]     =						AddedToken(__lowercase	,   lstrip=__lowercase	,   rstrip=__lowercase      ) if isinstance(__lowercase	,   __lowercase      ) else bos_token
        __UpperCAmelCase							:			Optional[int]     =						AddedToken(__lowercase	,   lstrip=__lowercase	,   rstrip=__lowercase      ) if isinstance(__lowercase	,   __lowercase      ) else eos_token
        __UpperCAmelCase							:			int     =						AddedToken(__lowercase	,   lstrip=__lowercase	,   rstrip=__lowercase      ) if isinstance(__lowercase	,   __lowercase      ) else sep_token
        __UpperCAmelCase							:			List[Any]     =						AddedToken(__lowercase	,   lstrip=__lowercase	,   rstrip=__lowercase      ) if isinstance(__lowercase	,   __lowercase      ) else cls_token
        __UpperCAmelCase							:			Optional[Any]     =						AddedToken(__lowercase	,   lstrip=__lowercase	,   rstrip=__lowercase      ) if isinstance(__lowercase	,   __lowercase      ) else unk_token
        __UpperCAmelCase							:			Tuple     =						AddedToken(__lowercase	,   lstrip=__lowercase	,   rstrip=__lowercase      ) if isinstance(__lowercase	,   __lowercase      ) else pad_token

        # Mask token behave like a normal word, i.e. include the space before it
        __UpperCAmelCase							:			Optional[Any]     =						AddedToken(__lowercase	,   lstrip=__lowercase	,   rstrip=__lowercase      ) if isinstance(__lowercase	,   __lowercase      ) else mask_token

        super().__init__(
            errors=__lowercase	,   bos_token=__lowercase	,   eos_token=__lowercase	,   unk_token=__lowercase	,   sep_token=__lowercase	,   cls_token=__lowercase	,   pad_token=__lowercase	,   mask_token=__lowercase	,   add_prefix_space=__lowercase	,   **__lowercase	,   )
        with open(__lowercase	,   encoding="""utf-8"""      ) as vocab_handle:
          __UpperCAmelCase							:			List[str]     =						json.load(__lowercase      )
        __UpperCAmelCase							:			Union[str, Any]     =						{v: k for k, v in self.encoder.items()}
        __UpperCAmelCase							:			List[Any]     =						errors  # how to handle errors in decoding
        __UpperCAmelCase							:			Optional[Any]     =						bytes_to_unicode()
        __UpperCAmelCase							:			List[Any]     =						{v: k for k, v in self.byte_encoder.items()}
        with open(__lowercase	,   encoding="""utf-8"""      ) as merges_handle:
          __UpperCAmelCase							:			Tuple     =						merges_handle.read().split("""\n"""      )[1:-1]
        __UpperCAmelCase							:			List[Any]     =						[tuple(merge.split()      ) for merge in bpe_merges]
        __UpperCAmelCase							:			List[str]     =						dict(zip(__lowercase	,   range(len(__lowercase      )      )      )      )
        __UpperCAmelCase							:			Optional[Any]     =						{}
        __UpperCAmelCase							:			Dict     =						add_prefix_space

        # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
        __UpperCAmelCase							:			Optional[int]     =						re.compile(r"""'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"""      )
      @property
      def 			UpperCAmelCase   (   self      :    str      )							->   Union[str, Any]:
        return len(self.encoder      )
      def 			UpperCAmelCase   (   self      :    Union[str, Any]      )							->   Tuple:
        return dict(self.encoder	,   **self.added_tokens_encoder      )
      def 			UpperCAmelCase   (   self      :    Optional[int]	,   __lowercase      :    Optional[Any]      )							->   List[str]:
        if token in self.cache:
          return self.cache[token]
        __UpperCAmelCase							:			str     =						tuple(__lowercase      )
        __UpperCAmelCase							:			str     =						get_pairs(__lowercase      )

        if not pairs:
          return token

        while True:
          __UpperCAmelCase							:			str     =						min(__lowercase	,   key=lambda __lowercase      : self.bpe_ranks.get(__lowercase	,   float("""inf"""      )      )      )
          if bigram not in self.bpe_ranks:
            break
          __UpperCAmelCase   ,				__UpperCAmelCase							:			Dict     =						bigram
          __UpperCAmelCase							:			Optional[int]     =						[]
          __UpperCAmelCase							:			List[Any]     =						0
          while i < len(__lowercase      ):
            try:
              __UpperCAmelCase							:			Union[str, Any]     =						word.index(__lowercase	,   __lowercase      )
            except ValueError:
              new_word.extend(word[i:]      )
              break
            else:
              new_word.extend(word[i:j]      )
              __UpperCAmelCase							:			List[str]     =						j

            if word[i] == first and i < len(__lowercase      ) - 1 and word[i + 1] == second:
              new_word.append(first + second      )
              i += 2
            else:
              new_word.append(word[i]      )
              i += 1
          __UpperCAmelCase							:			Optional[int]     =						tuple(__lowercase      )
          __UpperCAmelCase							:			Tuple     =						new_word
          if len(__lowercase      ) == 1:
            break
          else:
            __UpperCAmelCase							:			Union[str, Any]     =						get_pairs(__lowercase      )
        __UpperCAmelCase							:			Optional[int]     =						""" """.join(__lowercase      )
        __UpperCAmelCase							:			List[Any]     =						word
        return word
      def 			UpperCAmelCase   (   self      :    Optional[Any]	,   __lowercase      :    Any      )							->   str:
        __UpperCAmelCase							:			Dict     =						[]
        for token in re.findall(self.pat	,   __lowercase      ):
          __UpperCAmelCase							:			str     =						"""""".join(
              self.byte_encoder[b] for b in token.encode("""utf-8"""      )      )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
          bpe_tokens.extend(bpe_token for bpe_token in self.bpe(__lowercase      ).split(""" """      )      )
        return bpe_tokens
      def 			UpperCAmelCase   (   self      :    Any	,   __lowercase      :    List[Any]      )							->   Tuple:
        return self.encoder.get(__lowercase	,   self.encoder.get(self.unk_token      )      )
      def 			UpperCAmelCase   (   self      :    List[Any]	,   __lowercase      :    Tuple      )							->   Optional[int]:
        return self.decoder.get(__lowercase      )
      def 			UpperCAmelCase   (   self      :    Any	,   __lowercase      :    Optional[Any]      )							->   Any:
        __UpperCAmelCase							:			Optional[Any]     =						"""""".join(__lowercase      )
        __UpperCAmelCase							:			str     =						bytearray([self.byte_decoder[c] for c in text]      ).decode("""utf-8"""	,   errors=self.errors      )
        return text
      def 			UpperCAmelCase   (   self      :    Union[str, Any]	,   __lowercase      :    str	,   __lowercase      :    Optional[str] = None      )							->   Tuple[str]:
        if not os.path.isdir(__lowercase      ):
          logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""      )
          return
        __UpperCAmelCase							:			Union[str, Any]     =						os.path.join(
            __lowercase	,   (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]      )
        __UpperCAmelCase							:			List[Any]     =						os.path.join(
            __lowercase	,   (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]      )

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

        __UpperCAmelCase							:			List[str]     =						0
        with open(__lowercase	,   """w"""	,   encoding="""utf-8"""      ) as writer:
          writer.write("""#version: 0.2\n"""      )
          for bpe_tokens, token_index in sorted(self.bpe_ranks.items()	,   key=lambda __lowercase      : 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							:			Optional[Any]     =						token_index
            writer.write(""" """.join(__lowercase      ) + """\n"""      )
            index += 1

        return vocab_file, merge_file
      def 			UpperCAmelCase   (   self      :    List[str]	,   __lowercase      :    List[int]	,   __lowercase      :    Optional[List[int]] = None      )							->   List[int]:
        if token_ids_a is None:
          return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
        __UpperCAmelCase							:			str     =						[self.cls_token_id]
        __UpperCAmelCase							:			Tuple     =						[self.sep_token_id]
        return cls + token_ids_a + sep + sep + token_ids_a + sep
      def 			UpperCAmelCase   (   self      :    str	,   __lowercase      :    List[int]	,   __lowercase      :    Optional[List[int]] = None	,   __lowercase      :    bool = False      )							->   List[int]:
        if already_has_special_tokens:
          return super().get_special_tokens_mask(
              token_ids_a=__lowercase	,   token_ids_a=__lowercase	,   already_has_special_tokens=__lowercase      )

        if token_ids_a is None:
          return [1] + ([0] * len(__lowercase      )) + [1]
        return [1] + ([0] * len(__lowercase      )) + [1, 1] + ([0] * len(__lowercase      )) + [1]
      def 			UpperCAmelCase   (   self      :    Tuple	,   __lowercase      :    List[int]	,   __lowercase      :    Optional[List[int]] = None      )							->   List[int]:
        __UpperCAmelCase							:			Any     =						[self.sep_token_id]
        __UpperCAmelCase							:			Dict     =						[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]




      def 			UpperCAmelCase   (   self      :    Optional[int]	,   __lowercase      :    Dict	,   __lowercase      :    List[str]=False	,   **__lowercase      :    str      )							->   Union[str, Any]:
        __UpperCAmelCase							:			List[str]     =						kwargs.pop("""add_prefix_space"""	,   self.add_prefix_space      )
        if (is_split_into_words or add_prefix_space) and (len(__lowercase      ) > 0 and not text[0].isspace()):
          __UpperCAmelCase							:			int     =						""" """ + text
        return (text, kwargs)










from typing import TYPE_CHECKING

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


a	: Union[str, Any]      =				{
    "configuration_mobilenet_v1": [
        "MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "MobileNetV1Config",
        "MobileNetV1OnnxConfig",
    ],
}

try:
       if not is_vision_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a	: int      =				["MobileNetV1FeatureExtractor"]
       a	: int      =				["MobileNetV1ImageProcessor"]

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a	: int      =				[
           "MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST",
           "MobileNetV1ForImageClassification",
           "MobileNetV1Model",
           "MobileNetV1PreTrainedModel",
           "load_tf_weights_in_mobilenet_v1",
       ]


if TYPE_CHECKING:
       from .configuration_mobilenet_va import (
           MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP,
           MobileNetVaConfig,
           MobileNetVaOnnxConfig,
       )

       try:
              if not is_vision_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .feature_extraction_mobilenet_va import MobileNetVaFeatureExtractor
              from .image_processing_mobilenet_va import MobileNetVaImageProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_mobilenet_va import (
                  MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST,
                  MobileNetVaForImageClassification,
                  MobileNetVaModel,
                  MobileNetVaPreTrainedModel,
                  load_tf_weights_in_mobilenet_va,
              )


else:
       import sys

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


