


"""simple docstring"""


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

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...tokenization_utils_base import BatchEncoding, EncodedInput
from ...utils import PaddingStrategy, logging


_snake_case          =							logging.get_logger(__name__)


_snake_case          =							{"vocab_file": "vocab.json", "merges_file": "merges.txt"}

# See all LED models at https://huggingface.co/models?filter=LED
_snake_case          =							{
    "vocab_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/vocab.json",
    },
    "merges_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/merges.txt",
    },
    "tokenizer_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/tokenizer.json",
    },
}

_snake_case          =							{
    "allenai/led-base-16384": 1_6384,
}



@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def   snake_case      (				)->		Tuple:
      '''simple docstring'''


      lowerCamelCase__           =		(
          list(range(ord('!'							)		,   ord('~'							) + 1							)							) + list(range(ord('¡'							)		,   ord('¬'							) + 1							)							) + list(range(ord('®'							)		,   ord('ÿ'							) + 1							)							)
      )
      lowerCamelCase__           =		bs[:]
      lowerCamelCase__           =		0
      for b in range(2**8							):
            if b not in bs:
                  bs.append(_a							)
                  cs.append(2**8 + n							)
                  n += 1
      lowerCamelCase__           =		[chr(_a							) for n in cs]
      return dict(zip(_a		,   _a							)							)



def   snake_case      (				_a:     Optional[Any]							)->		Optional[int]:
      '''simple docstring'''


      lowerCamelCase__           =		set()
      lowerCamelCase__           =		word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)							)
            lowerCamelCase__           =		char
      return pairs






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

          # Mask token behave like a normal word, i.e. include the space before it
          lowerCamelCase__           =		AddedToken(SCREAMING_SNAKE_CASE__							,					lstrip=SCREAMING_SNAKE_CASE__							,					rstrip=SCREAMING_SNAKE_CASE__				) if isinstance(SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__				) else mask_token

          super().__init__(
              errors=SCREAMING_SNAKE_CASE__							,					bos_token=SCREAMING_SNAKE_CASE__							,					eos_token=SCREAMING_SNAKE_CASE__							,					unk_token=SCREAMING_SNAKE_CASE__							,					sep_token=SCREAMING_SNAKE_CASE__							,					cls_token=SCREAMING_SNAKE_CASE__							,					pad_token=SCREAMING_SNAKE_CASE__							,					mask_token=SCREAMING_SNAKE_CASE__							,					add_prefix_space=SCREAMING_SNAKE_CASE__							,					**SCREAMING_SNAKE_CASE__							,					)

          with open(SCREAMING_SNAKE_CASE__							,					encoding='utf-8'				) as vocab_handle:
                lowerCamelCase__           =		json.load(SCREAMING_SNAKE_CASE__				)
          lowerCamelCase__           =		{v: k for k, v in self.encoder.items()}
          lowerCamelCase__           =		errors  # how to handle errors in decoding
          lowerCamelCase__           =		bytes_to_unicode()
          lowerCamelCase__           =		{v: k for k, v in self.byte_encoder.items()}
          with open(SCREAMING_SNAKE_CASE__							,					encoding='utf-8'				) as merges_handle:
                lowerCamelCase__           =		merges_handle.read().split('\n'				)[1:-1]
          lowerCamelCase__           =		[tuple(merge.split()				) for merge in bpe_merges]
          lowerCamelCase__           =		dict(zip(SCREAMING_SNAKE_CASE__							,					range(len(SCREAMING_SNAKE_CASE__				)				)				)				)
          lowerCamelCase__           =		{}
          lowerCamelCase__           =		add_prefix_space

          # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
          lowerCamelCase__           =		re.compile(R'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'				)
    @property
    # Copied from transformers.models.bart.tokenization_bart.BartTokenizer.vocab_size
    def      _UpperCamelCase       ( self							:					Dict				):
          return len(self.encoder				)
    def      _UpperCamelCase       ( self							:					Dict				):
          return dict(self.encoder							,					**self.added_tokens_encoder				)
    def      _UpperCamelCase       ( self							:					Any							,					SCREAMING_SNAKE_CASE__							:					int				):
          if token in self.cache:
                return self.cache[token]
          lowerCamelCase__           =		tuple(SCREAMING_SNAKE_CASE__				)
          lowerCamelCase__           =		get_pairs(SCREAMING_SNAKE_CASE__				)

          if not pairs:
                return token

          while True:
                lowerCamelCase__           =		min(SCREAMING_SNAKE_CASE__							,					key=lambda SCREAMING_SNAKE_CASE__				: self.bpe_ranks.get(SCREAMING_SNAKE_CASE__							,					float('inf'				)				)				)
                if bigram not in self.bpe_ranks:
                      break
                lowerCamelCase__    ,  lowerCamelCase__           =		bigram
                lowerCamelCase__           =		[]
                lowerCamelCase__           =		0
                while i < len(SCREAMING_SNAKE_CASE__				):
                      try:
                            lowerCamelCase__           =		word.index(SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__				)
                      except ValueError:
                            new_word.extend(word[i:]				)
                            break
                      else:
                            new_word.extend(word[i:j]				)
                            lowerCamelCase__           =		j

                      if word[i] == first and i < len(SCREAMING_SNAKE_CASE__				) - 1 and word[i + 1] == second:
                            new_word.append(first + second				)
                            i += 2
                      else:
                            new_word.append(word[i]				)
                            i += 1
                lowerCamelCase__           =		tuple(SCREAMING_SNAKE_CASE__				)
                lowerCamelCase__           =		new_word
                if len(SCREAMING_SNAKE_CASE__				) == 1:
                      break
                else:
                      lowerCamelCase__           =		get_pairs(SCREAMING_SNAKE_CASE__				)
          lowerCamelCase__           =		' '.join(SCREAMING_SNAKE_CASE__				)
          lowerCamelCase__           =		word
          return word
    def      _UpperCamelCase       ( self							:					Tuple							,					SCREAMING_SNAKE_CASE__							:					List[str]				):
          lowerCamelCase__           =		[]
          for token in re.findall(self.pat							,					SCREAMING_SNAKE_CASE__				):
                lowerCamelCase__           =		''.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(SCREAMING_SNAKE_CASE__				).split(' '				)				)
          return bpe_tokens
    def      _UpperCamelCase       ( self							:					List[Any]							,					SCREAMING_SNAKE_CASE__							:					Optional[int]				):
          return self.encoder.get(SCREAMING_SNAKE_CASE__							,					self.encoder.get(self.unk_token				)				)
    def      _UpperCamelCase       ( self							:					str							,					SCREAMING_SNAKE_CASE__							:					List[str]				):
          return self.decoder.get(SCREAMING_SNAKE_CASE__				)
    def      _UpperCamelCase       ( self							:					int							,					SCREAMING_SNAKE_CASE__							:					Union[str, Any]				):
          lowerCamelCase__           =		''.join(SCREAMING_SNAKE_CASE__				)
          lowerCamelCase__           =		bytearray([self.byte_decoder[c] for c in text]				).decode('utf-8'							,					errors=self.errors				)
          return text
    def      _UpperCamelCase       ( self							:					List[Any]							,					SCREAMING_SNAKE_CASE__							:					str							,					SCREAMING_SNAKE_CASE__							:					Optional[str] = None				):
          if not os.path.isdir(SCREAMING_SNAKE_CASE__				):
                logger.error(F'Vocabulary path ({save_directory}) should be a directory'				)
                return
          lowerCamelCase__           =		os.path.join(
              SCREAMING_SNAKE_CASE__							,					(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']				)
          lowerCamelCase__           =		os.path.join(
              SCREAMING_SNAKE_CASE__							,					(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']				)

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

          lowerCamelCase__           =		0
          with open(SCREAMING_SNAKE_CASE__							,					'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 SCREAMING_SNAKE_CASE__				: 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!'				)
                            lowerCamelCase__           =		token_index
                      writer.write(' '.join(SCREAMING_SNAKE_CASE__				) + '\n'				)
                      index += 1

          return vocab_file, merge_file
    def      _UpperCamelCase       ( self							:					Any							,					SCREAMING_SNAKE_CASE__							:					List[int]							,					SCREAMING_SNAKE_CASE__							:					Optional[List[int]] = None				):
          if token_ids_a is None:
                return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
          lowerCamelCase__           =		[self.cls_token_id]
          lowerCamelCase__           =		[self.sep_token_id]
          return cls + token_ids_a + sep + sep + token_ids_a + sep
    def      _UpperCamelCase       ( self							:					Optional[int]							,					SCREAMING_SNAKE_CASE__							:					List[int]							,					SCREAMING_SNAKE_CASE__							:					Optional[List[int]] = None							,					SCREAMING_SNAKE_CASE__							:					bool = False				):
          if already_has_special_tokens:
                return super().get_special_tokens_mask(
                    token_ids_a=SCREAMING_SNAKE_CASE__							,					token_ids_a=SCREAMING_SNAKE_CASE__							,					already_has_special_tokens=SCREAMING_SNAKE_CASE__				)

          if token_ids_a is None:
                return [1] + ([0] * len(SCREAMING_SNAKE_CASE__				)) + [1]
          return [1] + ([0] * len(SCREAMING_SNAKE_CASE__				)) + [1, 1] + ([0] * len(SCREAMING_SNAKE_CASE__				)) + [1]
    def      _UpperCamelCase       ( self							:					Dict							,					SCREAMING_SNAKE_CASE__							:					List[int]							,					SCREAMING_SNAKE_CASE__							:					Optional[List[int]] = None				):
          lowerCamelCase__           =		[self.sep_token_id]
          lowerCamelCase__           =		[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							:					List[str]							,					SCREAMING_SNAKE_CASE__							:					Optional[int]							,					SCREAMING_SNAKE_CASE__							:					List[str]=False							,					**SCREAMING_SNAKE_CASE__							:					Any				):
          lowerCamelCase__           =		kwargs.pop('add_prefix_space'							,					self.add_prefix_space				)
          if (is_split_into_words or add_prefix_space) and (len(SCREAMING_SNAKE_CASE__				) > 0 and not text[0].isspace()):
                lowerCamelCase__           =		' ' + text
          return (text, kwargs)


    def      _UpperCamelCase       ( self							:					int							,					SCREAMING_SNAKE_CASE__							:					Union[Dict[str, EncodedInput], BatchEncoding]							,					SCREAMING_SNAKE_CASE__							:					Optional[int] = None							,					SCREAMING_SNAKE_CASE__							:					PaddingStrategy = PaddingStrategy.DO_NOT_PAD							,					SCREAMING_SNAKE_CASE__							:					Optional[int] = None							,					SCREAMING_SNAKE_CASE__							:					Optional[bool] = None							,					):
          lowerCamelCase__           =		super()._pad(
              encoded_inputs=SCREAMING_SNAKE_CASE__							,					max_length=SCREAMING_SNAKE_CASE__							,					padding_strategy=SCREAMING_SNAKE_CASE__							,					pad_to_multiple_of=SCREAMING_SNAKE_CASE__							,					return_attention_mask=SCREAMING_SNAKE_CASE__							,					)

          # Load from model defaults
          if return_attention_mask is None:
                lowerCamelCase__           =		'attention_mask' in self.model_input_names

          if return_attention_mask and "global_attention_mask" in encoded_inputs:
                lowerCamelCase__           =		encoded_inputs[self.model_input_names[0]]
                # `global_attention_mask` need to have the same length as other (sequential) inputs.
                lowerCamelCase__           =		len(encoded_inputs['global_attention_mask']				) != len(SCREAMING_SNAKE_CASE__				)

                if needs_to_be_padded:
                      lowerCamelCase__           =		len(SCREAMING_SNAKE_CASE__				) - len(encoded_inputs['global_attention_mask']				)

                      if self.padding_side == "right":
                            # Use `-1` since `0` in `global_attention_mask` means `local attention` instead of `not to attend`
                            lowerCamelCase__           =		(
                                encoded_inputs['global_attention_mask'] + [-1] * difference
                            )
                      elif self.padding_side == "left":
                            lowerCamelCase__           =		[-1] * difference + encoded_inputs[
                                'global_attention_mask'
                            ]
                      else:
                            raise ValueError('Invalid padding strategy:' + str(self.padding_side				)				)

          return encoded_inputs







"""simple docstring"""


from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
   if not (is_transformers_available() and is_torch_available()):
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   from ...utils.dummy_torch_and_transformers_objects import ShapEPipeline
else:
   from .camera import create_pan_cameras
   from .pipeline_shap_e import ShapEPipeline
   from .pipeline_shap_e_img2img import ShapEImgaImgPipeline
   from .renderer import (
       BoundingBoxVolume,
       ImportanceRaySampler,
       MLPNeRFModelOutput,
       MLPNeRSTFModel,
       ShapEParamsProjModel,
       ShapERenderer,
       StratifiedRaySampler,
       VoidNeRFModel,
   )



