






"""simple docstring"""



import argparse
import os
import re


A_    =							'''src/diffusers'''

# Pattern that looks at the indentation in a line.
A_    =							re.compile(r'''^(\s*)\S''')
# Pattern that matches `"key":" and puts `key` in group 0.
A_    =							re.compile(r'''^\s*"([^"]+)":''')
# Pattern that matches `_import_structure["key"]` and puts `key` in group 0.
A_    =							re.compile(r'''^\s*_import_structure\["([^"]+)"\]''')
# Pattern that matches `"key",` and puts `key` in group 0.
A_    =							re.compile(r'''^\s*"([^"]+)",\s*$''')
# Pattern that matches any `[stuff]` and puts `stuff` in group 0.
A_    =							re.compile(r'''\[([^\]]+)\]''')




def      _lowerCAmelCase		(							UpperCAmelCase__       :					Any      )		->Union[str, Any]:
						A__						:  Optional[int]		  =  _re_indent.search(lowercase__      )
						return "" if search is None else search.groups()[0]




def      _lowerCAmelCase		(							UpperCAmelCase__       :					Tuple,						UpperCAmelCase__       :					int="",						UpperCAmelCase__       :					List[str]=None,						UpperCAmelCase__       :					Tuple=None      )		->Any:
						A__						:  Dict		  =  0
						A__						:  Any		  =  code.split("""\n"""      )
						if start_prompt is not None:
												while not lines[index].startswith(lowercase__      ):
																		index += 1
												A__						:  Optional[Any]		  =  ["""\n""".join(lines[:index]      )]
						else:
												A__						:  List[Any]		  =  []

						# We split into blocks until we get to the `end_prompt` (or the end of the block).
						A__						:  int		  =  [lines[index]]
						index += 1
						while index < len(lowercase__      ) and (end_prompt is None or not lines[index].startswith(lowercase__      )):
												if len(lines[index]      ) > 0 and get_indent(lines[index]      ) == indent_level:
																		if len(lowercase__      ) > 0 and get_indent(current_block[-1]      ).startswith(indent_level + """ """      ):
																								current_block.append(lines[index]      )
																								blocks.append("""\n""".join(lowercase__      )      )
																								if index < len(lowercase__      ) - 1:
																														A__						:  int		  =  [lines[index + 1]]
																														index += 1
																								else:
																														A__						:  Union[str, Any]		  =  []
																		else:
																								blocks.append("""\n""".join(lowercase__      )      )
																								A__						:  Dict		  =  [lines[index]]
												else:
																		current_block.append(lines[index]      )
												index += 1

						# Adds current block if it's nonempty.
						if len(lowercase__      ) > 0:
												blocks.append("""\n""".join(lowercase__      )      )

						# Add final block after end_prompt if provided.
						if end_prompt is not None and index < len(lowercase__      ):
												blocks.append("""\n""".join(lines[index:]      )      )

						return blocks




def      _lowerCAmelCase		(							UpperCAmelCase__       :					Optional[Any]      )		->Union[str, Any]:







						def _inner(UpperCAmelCase__       :					Any      ):
												return key(lowercase__      ).lower().replace("""_""",						""""""      )

						return _inner




def      _lowerCAmelCase		(							UpperCAmelCase__       :					Dict,						UpperCAmelCase__       :					List[str]=None      )		->int:







						def noop(UpperCAmelCase__       :					Optional[int]      ):
												return x

						if key is None:
												A__						:  Dict		  =  noop
						# Constants are all uppercase, they go first.
						A__						:  Any		  =  [obj for obj in objects if key(lowercase__      ).isupper()]
						# Classes are not all uppercase but start with a capital, they go second.
						A__						:  List[Any]		  =  [obj for obj in objects if key(lowercase__      )[0].isupper() and not key(lowercase__      ).isupper()]
						# Functions begin with a lowercase, they go last.
						A__						:  Union[str, Any]		  =  [obj for obj in objects if not key(lowercase__      )[0].isupper()]

						A__						:  str		  =  ignore_underscore(lowercase__      )
						return sorted(lowercase__,						key=lowercase__      ) + sorted(lowercase__,						key=lowercase__      ) + sorted(lowercase__,						key=lowercase__      )




def      _lowerCAmelCase		(							UpperCAmelCase__       :					Dict      )		->Dict:







						def _replace(UpperCAmelCase__       :					Any      ):
												A__						:  List[Any]		  =  match.groups()[0]
												if "," not in imports:
																		return f'[{imports}]'
												A__						:  Dict		  =  [part.strip().replace("""\"""",						""""""      ) for part in imports.split(""","""      )]
												# We will have a final empty element if the line finished with a comma.
												if len(keys[-1]      ) == 0:
																		A__						:  int		  =  keys[:-1]
												return "[" + ", ".join([f'\"{k}\"' for k in sort_objects(lowercase__      )]      ) + "]"

						A__						:  str		  =  import_statement.split("""\n"""      )
						if len(lowercase__      ) > 3:
												# Here we have to sort internal imports that are on several lines (one per name):
												# key: [
												#     "object1",
												#     "object2",
												#     ...
												# ]

												# We may have to ignore one or two lines on each side.
												A__						:  Tuple		  =  2 if lines[1].strip() == """[""" else 1
												A__						:  Optional[Any]		  =  [(i, _re_strip_line.search(lowercase__      ).groups()[0]) for i, line in enumerate(lines[idx:-idx]      )]
												A__						:  Any		  =  sort_objects(lowercase__,						key=lambda UpperCAmelCase__      : x[1]      )
												A__						:  Dict		  =  [lines[x[0] + idx] for x in sorted_indices]
												return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]      )
						elif len(lowercase__      ) == 3:
												# Here we have to sort internal imports that are on one separate line:
												# key: [
												#     "object1", "object2", ...
												# ]
												if _re_bracket_content.search(lines[1]      ) is not None:
																		A__						:  Optional[int]		  =  _re_bracket_content.sub(_replace,						lines[1]      )
												else:
																		A__						:  str		  =  [part.strip().replace("""\"""",						""""""      ) for part in lines[1].split(""","""      )]
																		# We will have a final empty element if the line finished with a comma.
																		if len(keys[-1]      ) == 0:
																								A__						:  List[Any]		  =  keys[:-1]
																		A__						:  int		  =  get_indent(lines[1]      ) + """, """.join([f'\"{k}\"' for k in sort_objects(lowercase__      )]      )
												return "\n".join(lowercase__      )
						else:
												# Finally we have to deal with imports fitting on one line
												A__						:  List[Any]		  =  _re_bracket_content.sub(_replace,						lowercase__      )
												return import_statement




def      _lowerCAmelCase		(							UpperCAmelCase__       :					List[str],						UpperCAmelCase__       :					List[Any]=True      )		->Union[str, Any]:







						with open(lowercase__,						"""r"""      ) as f:
												A__						:  Any		  =  f.read()

						if "_import_structure" not in code:
												return

						# Blocks of indent level 0
						A__						:  int		  =  split_code_in_indented_blocks(
						    lowercase__,						start_prompt="""_import_structure = {""",						end_prompt="""if TYPE_CHECKING:"""      )

						# We ignore block 0 (everything until start_prompt) and the last block (everything after end_prompt).
						for block_idx in range(1,						len(lowercase__      ) - 1      ):
												# Check if the block contains some `_import_structure`s thingy to sort.
												A__						:  Union[str, Any]		  =  main_blocks[block_idx]
												A__						:  Tuple		  =  block.split("""\n"""      )

												# Get to the start of the imports.
												A__						:  List[str]		  =  0
												while line_idx < len(lowercase__      ) and "_import_structure" not in block_lines[line_idx]:
																		# Skip dummy import blocks
																		if "import dummy" in block_lines[line_idx]:
																								A__						:  str		  =  len(lowercase__      )
																		else:
																								line_idx += 1
												if line_idx >= len(lowercase__      ):
																		continue

												# Ignore beginning and last line: they don't contain anything.
												A__						:  Dict		  =  """\n""".join(block_lines[line_idx:-1]      )
												A__						:  List[Any]		  =  get_indent(block_lines[1]      )
												# Slit the internal block into blocks of indent level 1.
												A__						:  Optional[int]		  =  split_code_in_indented_blocks(lowercase__,						indent_level=lowercase__      )
												# We have two categories of import key: list or _import_structure[key].append/extend
												A__						:  Optional[Any]		  =  _re_direct_key if """_import_structure""" in block_lines[0] else _re_indirect_key
												# Grab the keys, but there is a trap: some lines are empty or just comments.
												A__						:  int		  =  [(pattern.search(lowercase__      ).groups()[0] if pattern.search(lowercase__      ) is not None else None) for b in internal_blocks]
												# We only sort the lines with a key.
												A__						:  int		  =  [(i, key) for i, key in enumerate(lowercase__      ) if key is not None]
												A__						:  List[Any]		  =  [x[0] for x in sorted(lowercase__,						key=lambda UpperCAmelCase__      : x[1]      )]

												# We reorder the blocks by leaving empty lines/comments as they were and reorder the rest.
												A__						:  Optional[int]		  =  0
												A__						:  List[Any]		  =  []
												for i in range(len(lowercase__      )      ):
																		if keys[i] is None:
																								reordered_blocks.append(internal_blocks[i]      )
																		else:
																								A__						:  Dict		  =  sort_objects_in_import(internal_blocks[sorted_indices[count]]      )
																								reordered_blocks.append(lowercase__      )
																								count += 1

        # And we put our main block back together with its first and last line.
												A__						:  List[str]		  =  """\n""".join(block_lines[:line_idx] + reordered_blocks + [block_lines[-1]]      )

						if code != "\n".join(lowercase__      ):
												if check_only:
																		return True
												else:
																		print(f'Overwriting {file}.'      )
																		with open(lowercase__,						"""w"""      ) as f:
																								f.write("""\n""".join(lowercase__      )      )




def      _lowerCAmelCase		(							UpperCAmelCase__       :					Optional[int]=True      )		->Tuple:
						A__						:  int		  =  []
						for root, _, files in os.walk(lowercase__      ):
												if "__init__.py" in files:
																		A__						:  Dict		  =  sort_imports(os.path.join(lowercase__,						"""__init__.py"""      ),						check_only=lowercase__      )
																		if result:
																								A__						:  Dict		  =  [os.path.join(lowercase__,						"""__init__.py"""      )]
						if len(lowercase__      ) > 0:
												raise ValueError(f'Would overwrite {len(lowercase__      )} files, run `make style`.'      )


if __name__ == "__main__":
						A_    =							argparse.ArgumentParser()
						parser.add_argument('''--check_only''', action='''store_true''', help='''Whether to only check or fix style.''')
						A_    =							parser.parse_args()

						sort_imports_in_all_inits(check_only=args.check_only)














"""simple docstring"""



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

import regex as re

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


if TYPE_CHECKING:
						from transformers.pipelines.conversational import Conversation

A_    =							logging.get_logger(__name__)


A_    =							{
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
}

A_    =							{
    '''vocab_file''': {'''facebook/blenderbot-3B''': '''https://huggingface.co/facebook/blenderbot-3B/resolve/main/vocab.json'''},
    '''merges_file''': {'''facebook/blenderbot-3B''': '''https://huggingface.co/facebook/blenderbot-3B/resolve/main/merges.txt'''},
    '''tokenizer_config_file''': {
        '''facebook/blenderbot-3B''': '''https://huggingface.co/facebook/blenderbot-3B/resolve/main/tokenizer_config.json'''
    },
}

A_    =							{'''facebook/blenderbot-3B''': 128}




@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def      _lowerCAmelCase		(							)		->Any:
						A__						:  Any		  =  (
						    list(range(ord("""!"""      ),						ord("""~"""      ) + 1      )      ) + list(range(ord("""¡"""      ),						ord("""¬"""      ) + 1      )      ) + list(range(ord("""®"""      ),						ord("""ÿ"""      ) + 1      )      )
						)
						A__						:  Optional[int]		  =  bs[:]
						A__						:  Union[str, Any]		  =  0
						for b in range(2**8      ):
												if b not in bs:
																		bs.append(UpperCAmelCase__      )
																		cs.append(2**8 + n      )
																		n += 1
						A__						:  Optional[int]		  =  [chr(UpperCAmelCase__      ) for n in cs]
						return dict(zip(UpperCAmelCase__,						UpperCAmelCase__      )      )




def      _lowerCAmelCase		(							UpperCAmelCase__       :					Dict      )		->Tuple:
						A__						:  Any		  =  set()
						A__						:  Optional[int]		  =  word[0]
						for char in word[1:]:
												pairs.add((prev_char, char)      )
												A__						:  Dict		  =  char
						return pairs






class 							__SCREAMING_SNAKE_CASE						(				UpperCamelCase		):
							snake_case_     =							VOCAB_FILES_NAMES
							snake_case_     =							PRETRAINED_VOCAB_FILES_MAP
							snake_case_     =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							snake_case_     =							['input_ids', 'attention_mask']


							def __init__(			self      :						int			,    snake_case      :						str			,    snake_case      :						Optional[Any]			,    snake_case      :						str="replace"			,    snake_case      :						Tuple="<s>"			,    snake_case      :						Dict="</s>"			,    snake_case      :						Optional[Any]="</s>"			,    snake_case      :						int="<s>"			,    snake_case      :						Dict="<unk>"			,    snake_case      :						List[Any]="<pad>"			,    snake_case      :						Union[str, Any]="<mask>"			,    snake_case      :						Optional[Any]=False			,    **snake_case      :						Union[str, Any]			,    ):
													'''simple docstring'''





													A__						:  Optional[Any]		  =  AddedToken(snake_case			,    lstrip=snake_case			,    rstrip=snake_case							) if isinstance(snake_case			,    snake_case							) else bos_token
													A__						:  Dict		  =  AddedToken(snake_case			,    lstrip=snake_case			,    rstrip=snake_case							) if isinstance(snake_case			,    snake_case							) else eos_token
													A__						:  List[str]		  =  AddedToken(snake_case			,    lstrip=snake_case			,    rstrip=snake_case							) if isinstance(snake_case			,    snake_case							) else sep_token
													A__						:  Tuple		  =  AddedToken(snake_case			,    lstrip=snake_case			,    rstrip=snake_case							) if isinstance(snake_case			,    snake_case							) else cls_token
													A__						:  Dict		  =  AddedToken(snake_case			,    lstrip=snake_case			,    rstrip=snake_case							) if isinstance(snake_case			,    snake_case							) else unk_token
													A__						:  int		  =  AddedToken(snake_case			,    lstrip=snake_case			,    rstrip=snake_case							) if isinstance(snake_case			,    snake_case							) else pad_token

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

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

													with open(snake_case			,    encoding="""utf-8"""							) as vocab_handle:
																			A__						:  Dict		  =  json.load(snake_case							)
													A__						:  Tuple		  =  {v: k for k, v in self.encoder.items()}
													A__						:  Union[str, Any]		  =  errors  # how to handle errors in decoding
													A__						:  int		  =  bytes_to_unicode()
													A__						:  str		  =  {v: k for k, v in self.byte_encoder.items()}
													with open(snake_case			,    encoding="""utf-8"""							) as merges_handle:
																			A__						:  Tuple		  =  merges_handle.read().split("""\n"""							)[1:-1]
													A__						:  Optional[Any]		  =  [tuple(merge.split()							) for merge in bpe_merges]
													A__						:  List[str]		  =  dict(zip(snake_case			,    range(len(snake_case							)							)							)							)
													A__						:  Union[str, Any]		  =  {}
													A__						:  int		  =  add_prefix_space

													# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
													A__						:  Optional[Any]		  =  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.roberta.tokenization_roberta.RobertaTokenizer.vocab_size with Roberta->Blenderbot, RoBERTa->Blenderbot
							def 						_UpperCamelCase       (			self      :						Any							):
													'''simple docstring'''





													return len(self.encoder							)


							def 						_UpperCamelCase       (			self      :						int							):
													'''simple docstring'''





													return dict(self.encoder			,    **self.added_tokens_encoder							)


							def 						_UpperCamelCase       (			self      :						Union[str, Any]			,    snake_case      :						Optional[Any]							):
													'''simple docstring'''





													if token in self.cache:
																			return self.cache[token]
													A__						:  Tuple		  =  tuple(snake_case							)
													A__						:  Union[str, Any]		  =  get_pairs(snake_case							)

													if not pairs:
																			return token

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

																									if word[i] == first and i < len(snake_case							) - 1 and word[i + 1] == second:
																															new_word.append(first + second							)
																															i += 2
																									else:
																															new_word.append(word[i]							)
																															i += 1
																			A__						:  Optional[int]		  =  tuple(snake_case							)
																			A__						:  str		  =  new_word
																			if len(snake_case							) == 1:
																									break
																			else:
																									A__						:  List[str]		  =  get_pairs(snake_case							)
													A__						:  int		  =  """ """.join(snake_case							)
													A__						:  Optional[int]		  =  word
													return word


							def 						_UpperCamelCase       (			self      :						Dict			,    snake_case      :						int							):
													'''simple docstring'''





													A__						:  Optional[Any]		  =  []
													for token in re.findall(self.pat			,    snake_case							):
																			A__						:  Optional[Any]		  =  """""".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(snake_case							).split(""" """							)							)
													return bpe_tokens


							def 						_UpperCamelCase       (			self      :						str			,    snake_case      :						Union[str, Any]							):
													'''simple docstring'''





													return self.encoder.get(snake_case			,    self.encoder.get(self.unk_token							)							)


							def 						_UpperCamelCase       (			self      :						Union[str, Any]			,    snake_case      :						int							):
													'''simple docstring'''





													return self.decoder.get(snake_case							)


							def 						_UpperCamelCase       (			self      :						str			,    snake_case      :						int							):
													'''simple docstring'''





													A__						:  Optional[Any]		  =  """""".join(snake_case							)
													A__						:  Dict		  =  bytearray([self.byte_decoder[c] for c in text]							).decode("""utf-8"""			,    errors=self.errors							)
													return text


							def 						_UpperCamelCase       (			self      :						str			,    snake_case      :						str			,    snake_case      :						Optional[str] = None							):
													'''simple docstring'''





													if not os.path.isdir(snake_case							):
																			logger.error(F'Vocabulary path ({save_directory}) should be a directory'							)
																			return
													A__						:  Any		  =  os.path.join(
													    snake_case			,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]							)
													A__						:  List[Any]		  =  os.path.join(
													    snake_case			,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]							)

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

													A__						:  str		  =  0
													with open(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 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!"""							)
																															A__						:  List[str]		  =  token_index
																									writer.write(""" """.join(snake_case							) + """\n"""							)
																									index += 1

													return vocab_file, merge_file


							def 						_UpperCamelCase       (			self      :						Any			,    snake_case      :						List[int]			,    snake_case      :						Optional[List[int]] = None			,    snake_case      :						bool = False							):
													'''simple docstring'''





													if already_has_special_tokens:
																			return super().get_special_tokens_mask(
																			    token_ids_a=snake_case			,    token_ids_a=snake_case			,    already_has_special_tokens=snake_case							)

													if token_ids_a is None:
																			return [1] + ([0] * len(snake_case							)) + [1]
													return [1] + ([0] * len(snake_case							)) + [1, 1] + ([0] * len(snake_case							)) + [1]


							def 						_UpperCamelCase       (			self      :						List[str]			,    snake_case      :						List[int]			,    snake_case      :						Optional[List[int]] = None							):
													'''simple docstring'''





													A__						:  Union[str, Any]		  =  [self.sep_token_id]
													A__						:  Optional[Any]		  =  [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[Any]			,    snake_case      :						Optional[int]			,    snake_case      :						List[Any]=False			,    **snake_case      :						Tuple							):
													'''simple docstring'''





													A__						:  Optional[Any]		  =  kwargs.pop("""add_prefix_space"""			,    self.add_prefix_space							)
													if (is_split_into_words or add_prefix_space) and (len(snake_case							) > 0 and not text[0].isspace()):
																			A__						:  int		  =  """ """ + text
													return (text, kwargs)


							def 						_UpperCamelCase       (			self      :						Dict			,    snake_case      :						List[int]			,    snake_case      :						Optional[List[int]] = None							):
													'''simple docstring'''





													return token_ids_a + [self.eos_token_id]


							def 						_UpperCamelCase       (			self      :						int			,    snake_case      :						"Conversation"							):
													'''simple docstring'''





													A__						:  str		  =  []
													for is_user, text in conversation.iter_texts():
																			if is_user:
																									# We need to space prefix as it's being done within blenderbot
																									inputs.append(""" """ + text							)
																			else:
																									# Generated responses should contain them already.
																									inputs.append(snake_case							)

													A__						:  Tuple		  =  """  """.join(snake_case							)
													A__						:  Dict		  =  self.encode(snake_case							)
													if len(snake_case							) > self.model_max_length:
																			A__						:  Optional[int]		  =  input_ids[-self.model_max_length :]
																			logger.warning(F'Trimmed input from conversation as it was longer than {self.model_max_length} tokens.'							)
													return input_ids






