






"""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			:    str				 =		logging.get_logger(__name__)


a			:    Union[str, Any]				 =		{
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
    """tokenizer_config_file""": """tokenizer_config.json""",
}

a			:    Optional[Any]				 =		{
    """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			:    Optional[Any]				 =		{"""facebook/blenderbot-3B""": 128}





@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 						lowercase__()    ->int:




						"""simple docstring"""



						lowercase__    :				Optional[Any]=	(
						    list(range(ord("!"						) ,		ord("~"						) + 1						)						) + list(range(ord("¡"						) ,		ord("¬"						) + 1						)						) + list(range(ord("®"						) ,		ord("ÿ"						) + 1						)						)
						)
						lowercase__    :				int=	bs[:]
						lowercase__    :				Dict=	0
						for b in range(2**8						):
												if b not in bs:
																		bs.append(A						)
																		cs.append(2**8 + n						)
																		n += 1
						lowercase__    :				Tuple=	[chr(A						) for n in cs]
						return dict(zip(A ,		A						)						)





def 						lowercase__(A						)    ->Optional[Any]:




						"""simple docstring"""



						lowercase__    :				Dict=	set()
						lowercase__    :				Any=	word[0]
						for char in word[1:]:
												pairs.add((prev_char, char)						)
												lowercase__    :				str=	char
						return pairs







class    __UpperCAmelCase(       SCREAMING_SNAKE_CASE__							):




						"""simple docstring"""




						__lowerCamelCase    	= VOCAB_FILES_NAMES
						__lowerCamelCase    	= PRETRAINED_VOCAB_FILES_MAP
						__lowerCamelCase    	= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						__lowerCamelCase    	= ["input_ids", "attention_mask"]




						def __init__(       self	,  snake_case__	,  snake_case__	,  snake_case__="replace"	,  snake_case__="<s>"	,  snake_case__="</s>"	,  snake_case__="</s>"	,  snake_case__="<s>"	,  snake_case__="<unk>"	,  snake_case__="<pad>"	,  snake_case__="<mask>"	,  snake_case__=False	,  **snake_case__	,  ):
												'''simple docstring'''
												lowercase__    :				Tuple=	AddedToken(snake_case__	,  lstrip=snake_case__	,  rstrip=snake_case__      ) if isinstance(snake_case__	,  snake_case__      ) else bos_token
												lowercase__    :				List[str]=	AddedToken(snake_case__	,  lstrip=snake_case__	,  rstrip=snake_case__      ) if isinstance(snake_case__	,  snake_case__      ) else eos_token
												lowercase__    :				Any=	AddedToken(snake_case__	,  lstrip=snake_case__	,  rstrip=snake_case__      ) if isinstance(snake_case__	,  snake_case__      ) else sep_token
												lowercase__    :				str=	AddedToken(snake_case__	,  lstrip=snake_case__	,  rstrip=snake_case__      ) if isinstance(snake_case__	,  snake_case__      ) else cls_token
												lowercase__    :				str=	AddedToken(snake_case__	,  lstrip=snake_case__	,  rstrip=snake_case__      ) if isinstance(snake_case__	,  snake_case__      ) else unk_token
												lowercase__    :				Union[str, Any]=	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
												lowercase__    :				Optional[Any]=	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:
																		lowercase__    :				Optional[Any]=	json.load(snake_case__      )
												lowercase__    :				Optional[Any]=	{v: k for k, v in self.encoder.items()}
												lowercase__    :				int=	errors  # how to handle errors in decoding
												lowercase__    :				str=	bytes_to_unicode()
												lowercase__    :				Dict=	{v: k for k, v in self.byte_encoder.items()}
												with open(snake_case__	,  encoding="utf-8"      ) as merges_handle:
																		lowercase__    :				int=	merges_handle.read().split("\n"      )[1:-1]
												lowercase__    :				str=	[tuple(merge.split()      ) for merge in bpe_merges]
												lowercase__    :				Optional[int]=	dict(zip(snake_case__	,  range(len(snake_case__      )      )      )      )
												lowercase__    :				List[Any]=	{}
												lowercase__    :				Optional[int]=	add_prefix_space

												# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
												lowercase__    :				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      ):
												'''simple docstring'''
												return len(self.encoder      )




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												return dict(self.encoder	,  **self.added_tokens_encoder      )




						def 		UpperCAmelCase_	(       self	,  snake_case__      ):
												'''simple docstring'''
												if token in self.cache:
																		return self.cache[token]
												lowercase__    :				List[str]=	tuple(snake_case__      )
												lowercase__    :				Optional[Any]=	get_pairs(snake_case__      )

												if not pairs:
																		return token

												while True:
																		lowercase__    :				Tuple=	min(snake_case__	,  key=lambda snake_case__      : self.bpe_ranks.get(snake_case__	,  float("inf"      )      )      )
																		if bigram not in self.bpe_ranks:
																								break
																		lowercase__,     lowercase__    :				Any=	bigram
																		lowercase__    :				List[Any]=	[]
																		lowercase__    :				Tuple=	0
																		while i < len(snake_case__      ):
																								try:
																														lowercase__    :				int=	word.index(snake_case__	,  snake_case__      )
																								except ValueError:
																														new_word.extend(word[i:]      )
																														break
																								else:
																														new_word.extend(word[i:j]      )
																														lowercase__    :				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
																		lowercase__    :				Optional[Any]=	tuple(snake_case__      )
																		lowercase__    :				Any=	new_word
																		if len(snake_case__      ) == 1:
																								break
																		else:
																								lowercase__    :				List[str]=	get_pairs(snake_case__      )
												lowercase__    :				Dict=	" ".join(snake_case__      )
												lowercase__    :				Optional[Any]=	word
												return word




						def 		UpperCAmelCase_	(       self	,  snake_case__      ):
												'''simple docstring'''
												lowercase__    :				str=	[]
												for token in re.findall(self.pat	,  snake_case__      ):
																		lowercase__    :				List[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	,  snake_case__      ):
												'''simple docstring'''
												return self.encoder.get(snake_case__	,  self.encoder.get(self.unk_token      )      )




						def 		UpperCAmelCase_	(       self	,  snake_case__      ):
												'''simple docstring'''
												return self.decoder.get(snake_case__      )




						def 		UpperCAmelCase_	(       self	,  snake_case__      ):
												'''simple docstring'''
												lowercase__    :				List[str]=	"".join(snake_case__      )
												lowercase__    :				Tuple=	bytearray([self.byte_decoder[c] for c in text]      ).decode("utf-8"	,  errors=self.errors      )
												return text




						def 		UpperCAmelCase_	(       self	,  snake_case__	,  snake_case__ = None      ):
												'''simple docstring'''
												if not os.path.isdir(snake_case__      ):
																		logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''      )
																		return
												lowercase__    :				List[Any]=	os.path.join(
												    snake_case__	,  (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]      )
												lowercase__    :				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"      )

												lowercase__    :				Any=	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!"      )
																														lowercase__    :				int=	token_index
																								writer.write(" ".join(snake_case__      ) + "\n"      )
																								index += 1

												return vocab_file, merge_file




						def 		UpperCAmelCase_	(       self	,  snake_case__	,  snake_case__ = None	,  snake_case__ = 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	,  snake_case__	,  snake_case__ = None      ):
												'''simple docstring'''
												lowercase__    :				Any=	[self.sep_token_id]
												lowercase__    :				Optional[int]=	[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	,  snake_case__	,  snake_case__=False	,  **snake_case__      ):
												'''simple docstring'''
												lowercase__    :				Union[str, 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()):
																		lowercase__    :				Optional[int]=	" " + text
												return (text, kwargs)




						def 		UpperCAmelCase_	(       self	,  snake_case__	,  snake_case__ = None      ):
												'''simple docstring'''
												return token_ids_a + [self.eos_token_id]




						def 		UpperCAmelCase_	(       self	,  snake_case__      ):
												'''simple docstring'''
												lowercase__    :				Tuple=	[]
												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__      )

												lowercase__    :				List[Any]=	"  ".join(snake_case__      )
												lowercase__    :				Dict=	self.encode(snake_case__      )
												if len(snake_case__      ) > self.model_max_length:
																		lowercase__    :				Optional[Any]=	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














"""simple docstring"""







import argparse
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_dummies.py
a			:    Any				 =		"""src/diffusers"""

# Matches is_xxx_available()
a			:    Optional[Any]				 =		re.compile(r"""is\_([a-z_]*)_available\(\)""")
# Matches from xxx import bla
a			:    Dict				 =		re.compile(r"""\s+from\s+\S*\s+import\s+([^\(\s].*)\n""")


a			:    Dict				 =		"""
{0} = None
"""

a			:    List[Any]				 =		"""
class {0}(metaclass=DummyObject):
    _backends = {1}

    def __init__(self, *args, **kwargs):
        requires_backends(self, {1})

    @classmethod
    def from_config(cls, *args, **kwargs):
        requires_backends(cls, {1})

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, {1})
"""


a			:    Any				 =		"""
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
"""





def 						lowercase__(A						)    ->List[str]:




						"""simple docstring"""



						lowercase__    :				Optional[int]=	_re_backend.findall(A						)
						if len(A						) == 0:
												return None

						return "_and_".join(A						)





def 						lowercase__()    ->int:




						"""simple docstring"""



						with open(os.path.join(A ,		"__init__.py"						) ,		"r" ,		encoding="utf-8" ,		newline="\n"						) as f:
												lowercase__    :				Union[str, Any]=	f.readlines()

						# Get to the point we do the actual imports for type checking
						lowercase__    :				List[Any]=	0
						lowercase__    :				List[Any]=	{}
						# Go through the end of the file
						while line_index < len(A						):
												# If the line contains is_backend_available, we grab all objects associated with the `else` block
												lowercase__    :				Optional[Any]=	find_backend(lines[line_index]						)
												if backend is not None:
																		while not lines[line_index].startswith("else:"						):
																								line_index += 1
																		line_index += 1
																		lowercase__    :				str=	[]
																		# Until we unindent, add backend objects to the list
																		while line_index < len(A						) and len(lines[line_index]						) > 1:
																								lowercase__    :				List[str]=	lines[line_index]
																								lowercase__    :				Any=	_re_single_line_import.search(A						)
																								if single_line_import_search is not None:
																														objects.extend(single_line_import_search.groups()[0].split(", "						)						)
																								elif line.startswith(" " * 8						):
																														objects.append(line[8:-2]						)
																								line_index += 1

																		if len(A						) > 0:
																								lowercase__    :				str=	objects
												else:
																		line_index += 1

						return backend_specific_objects





def 						lowercase__(A ,		A						)    ->List[Any]:




						"""simple docstring"""



						if name.isupper():
												return DUMMY_CONSTANT.format(A						)
						elif name.islower():
												return DUMMY_FUNCTION.format(A ,		A						)
						else:
												return DUMMY_CLASS.format(A ,		A						)





def 						lowercase__(A=None						)    ->Optional[Any]:




						"""simple docstring"""



						if backend_specific_objects is None:
												lowercase__    :				int=	read_init()
						# For special correspondence backend to module name as used in the function requires_modulename
						lowercase__    :				Dict=	{}

						for backend, objects in backend_specific_objects.items():
												lowercase__    :				str=	"[" + ", ".join(f'''"{b}"''' for b in backend.split("_and_"						)						) + "]"
												lowercase__    :				List[str]=	"# This file is autogenerated by the command `make fix-copies`, do not edit.\n"
												dummy_file += "from ..utils import DummyObject, requires_backends\n\n"
												dummy_file += "\n".join([create_dummy_object(A ,		A						) for o in objects]						)
												lowercase__    :				Optional[Any]=	dummy_file

						return dummy_files





def 						lowercase__(A=False						)    ->List[Any]:




						"""simple docstring"""



						lowercase__    :				Tuple=	create_dummy_files()
						# For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
						lowercase__    :				int=	{"torch": "pt"}

						# Locate actual dummy modules and read their content.
						lowercase__    :				Dict=	os.path.join(A ,		"utils"						)
						lowercase__    :				str=	{
						    backend: os.path.join(A ,		f'''dummy_{short_names.get(A ,		A						)}_objects.py'''						)
						    for backend in dummy_files.keys()
						}

						lowercase__    :				Union[str, Any]=	{}
						for backend, file_path in dummy_file_paths.items():
												if os.path.isfile(A						):
																		with open(A ,		"r" ,		encoding="utf-8" ,		newline="\n"						) as f:
																								lowercase__    :				List[Any]=	f.read()
												else:
																		lowercase__    :				Tuple=	""

						for backend in dummy_files.keys():
												if dummy_files[backend] != actual_dummies[backend]:
																		if overwrite:
																								print(
																								    f'''Updating diffusers.utils.dummy_{short_names.get(A ,		A						)}_objects.py as the main '''
																								    "__init__ has new objects."						)
																								with open(dummy_file_paths[backend] ,		"w" ,		encoding="utf-8" ,		newline="\n"						) as f:
																														f.write(dummy_files[backend]						)
																		else:
																								raise ValueError(
																								    "The main __init__ has objects that are not present in "
																								    f'''diffusers.utils.dummy_{short_names.get(A ,		A						)}_objects.py. Run `make fix-copies` '''
																								    "to fix this."						)


if __name__ == "__main__":
			a			:    Optional[Any]				 =		argparse.ArgumentParser()
			parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
			a			:    Tuple				 =		parser.parse_args()

			check_dummies(args.fix_and_overwrite)






