



import json
import os
from typing import Dict, List, Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


a      :  str			     =			logging.get_logger(__name__)


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

a      :  int			     =			{
    'vocab_file': {
        'facebook/blenderbot_small-90M': 'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json'
    },
    'merges_file': {
        'facebook/blenderbot_small-90M': 'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt'
    },
    'tokenizer_config_file': {
        'facebook/blenderbot_small-90M': (
            'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json'
        )
    },
}

a      :  Union[str, Any]			     =			{'facebook/blenderbot_small-90M': 512}







def  lowerCAmelCase_	(lowerCAmelCase__:		List[Any]  ):





			"""simple docstring"""


			UpperCAmelCase_:		Dict							      =     set()
			UpperCAmelCase_:		Optional[Any]							      =     word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)  )
						UpperCAmelCase_:		int							      =     char

			UpperCAmelCase_:		str							      =     set(a__  )
			return pairs







class 				_a				(   _a					):
			A      		=	VOCAB_FILES_NAMES
			A      		=	PRETRAINED_VOCAB_FILES_MAP
			A      		=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			A      		=	["""input_ids""", """attention_mask"""]

			def __init__(self,   SCREAMING_SNAKE_CASE_,   SCREAMING_SNAKE_CASE_,   SCREAMING_SNAKE_CASE_="__start__",   SCREAMING_SNAKE_CASE_="__end__",   SCREAMING_SNAKE_CASE_="__unk__",   SCREAMING_SNAKE_CASE_="__null__",   **SCREAMING_SNAKE_CASE_,   )       ->   List[Any]:
						super().__init__(unk_token=__lowerCAmelCase,   bos_token=__lowerCAmelCase,   eos_token=__lowerCAmelCase,   pad_token=__lowerCAmelCase,   **__lowerCAmelCase					)

						with open(__lowerCAmelCase,   encoding="""utf-8"""					) as vocab_handle:
									UpperCAmelCase_:		int							      =     json.load(__lowerCAmelCase					)
						UpperCAmelCase_:		List[str]							      =     {v: k for k, v in self.encoder.items()}
						with open(__lowerCAmelCase,   encoding="""utf-8"""					) as merges_handle:
									UpperCAmelCase_:		str							      =     merges_handle.read().split("""\n"""					)[1:-1]
						UpperCAmelCase_:		str							      =     [tuple(merge.split()					) for merge in merges]
						UpperCAmelCase_:		Optional[int]							      =     dict(zip(__lowerCAmelCase,   range(len(__lowerCAmelCase					)					)					)					)
						UpperCAmelCase_:		int							      =     {}

			@property
			def      __snake_case       (self					)       ->   int:
						return len(self.encoder					)

			def      __snake_case       (self					)       ->   Optional[int]:
						return dict(self.encoder,   **self.added_tokens_encoder					)

			def      __snake_case       (self,   SCREAMING_SNAKE_CASE_					)       ->   Dict:
						if token in self.cache:
									return self.cache[token]
						UpperCAmelCase_:		Dict							      =     re.sub("""([.,!?()])""",   R""" \1""",   __lowerCAmelCase					)
						UpperCAmelCase_:		Tuple							      =     re.sub("""(')""",   R""" \1 """,   __lowerCAmelCase					)
						UpperCAmelCase_:		Dict							      =     re.sub(R"""\s{2,}""",   """ """,   __lowerCAmelCase					)
						if "\n" in token:
									UpperCAmelCase_:		List[str]							      =     token.replace("""\n""",   """ __newln__"""					)

						UpperCAmelCase_:		Dict							      =     token.split(""" """					)
						UpperCAmelCase_:		Optional[Any]							      =     []
						for token in tokens:
									if not len(__lowerCAmelCase					):
												continue

									UpperCAmelCase_:		Union[str, Any]							      =     token.lower()
									UpperCAmelCase_:		Union[str, Any]							      =     tuple(__lowerCAmelCase					)
									UpperCAmelCase_:		List[Any]							      =     tuple(list(word[:-1]					) + [word[-1] + """</w>"""]					)
									UpperCAmelCase_:		Any							      =     get_pairs(__lowerCAmelCase					)

									if not pairs:
												words.append(__lowerCAmelCase					)
												continue

									while True:
												UpperCAmelCase_:		Any							      =     min(__lowerCAmelCase,   key=lambda SCREAMING_SNAKE_CASE_					: self.bpe_ranks.get(__lowerCAmelCase,   float("""inf"""					)					)					)
												if bigram not in self.bpe_ranks:
															break
												UpperCAmelCase_      ,							UpperCAmelCase_:		Union[str, Any]							      =     bigram
												UpperCAmelCase_:		int							      =     []
												UpperCAmelCase_:		Optional[int]							      =     0

												while i < len(__lowerCAmelCase					):
															try:
																		UpperCAmelCase_:		List[str]							      =     word.index(__lowerCAmelCase,   __lowerCAmelCase					)
																		new_word.extend(word[i:j]					)
																		UpperCAmelCase_:		Optional[int]							      =     j
															except ValueError:
																		new_word.extend(word[i:]					)
																		break

															if word[i] == first and i < len(__lowerCAmelCase					) - 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(__lowerCAmelCase					)
												UpperCAmelCase_:		int							      =     new_word
												if len(__lowerCAmelCase					) == 1:
															break
												else:
															UpperCAmelCase_:		str							      =     get_pairs(__lowerCAmelCase					)
									UpperCAmelCase_:		Dict							      =     """@@ """.join(__lowerCAmelCase					)
									UpperCAmelCase_:		List[Any]							      =     word[:-4]

									UpperCAmelCase_:		List[Any]							      =     word
									words.append(__lowerCAmelCase					)
						return " ".join(__lowerCAmelCase					)

			def      __snake_case       (self,   SCREAMING_SNAKE_CASE_					)       ->   str:
						UpperCAmelCase_:		Tuple							      =     []

						UpperCAmelCase_:		List[str]							      =     re.findall(R"""\S+\n?""",   __lowerCAmelCase					)

						for token in words:
									split_tokens.extend(list(self.bpe(__lowerCAmelCase					).split(""" """					)					)					)
						return split_tokens

			def      __snake_case       (self,   SCREAMING_SNAKE_CASE_					)       ->   Dict:
						UpperCAmelCase_:		Tuple							      =     token.lower()
						return self.encoder.get(__lowerCAmelCase,   self.encoder.get(self.unk_token					)					)

			def      __snake_case       (self,   SCREAMING_SNAKE_CASE_					)       ->   Any:
						return self.decoder.get(__lowerCAmelCase,   self.unk_token					)

			def      __snake_case       (self,   SCREAMING_SNAKE_CASE_					)       ->   Tuple:
						UpperCAmelCase_:		Union[str, Any]							      =     """ """.join(__lowerCAmelCase					).replace("""@@ """,   """"""					).strip()
						return out_string

			def      __snake_case       (self,   SCREAMING_SNAKE_CASE_,   SCREAMING_SNAKE_CASE_ = None					)       ->   List[str]:
						if not os.path.isdir(__lowerCAmelCase					):
									logger.error(f'Vocabulary path ({save_directory}) should be a directory'					)
									return
						UpperCAmelCase_:		List[Any]							      =     os.path.join(
						    __lowerCAmelCase,   (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]					)
						UpperCAmelCase_:		Union[str, Any]							      =     os.path.join(
						    __lowerCAmelCase,   (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]					)

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

						UpperCAmelCase_:		int							      =     0
						with open(__lowerCAmelCase,   """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!"""					)
															UpperCAmelCase_:		Optional[int]							      =     token_index
												writer.write(""" """.join(__lowerCAmelCase					) + """\n"""					)
												index += 1

						return vocab_file, merge_file













import copy
import random

from transformers import CLIPTokenizer

class 							__SCREAMING_SNAKE_CASE       (  _a							):






							def __init__(    self	,			*__lowerCAmelCase	,			**__lowerCAmelCase	):
														super().__init__(*__lowerCAmelCase	,			**__lowerCAmelCase	)
														UpperCamelCase__					  =      {}






							def 					_lowerCamelCase		(    self	,			__lowerCAmelCase	,			*__lowerCAmelCase	,			**__lowerCAmelCase	):
														UpperCamelCase__					  =      super().add_tokens(__lowerCAmelCase	,			*__lowerCAmelCase	,			**__lowerCAmelCase	)
														if num_added_tokens == 0:
																					raise ValueError(
																					    f"""The tokenizer already contains the token {placeholder_token}. Please pass a different"""
																					    """ `placeholder_token` that is not already in the tokenizer."""	)






							def 					_lowerCamelCase		(    self	,			__lowerCAmelCase	,			*__lowerCAmelCase	,			__lowerCAmelCase=1	,			**__lowerCAmelCase	):
														UpperCamelCase__					  =      []
														if num_vec_per_token == 1:
																					self.try_adding_tokens(__lowerCAmelCase	,			*__lowerCAmelCase	,			**__lowerCAmelCase	)
																					output.append(__lowerCAmelCase	)
														else:
																					UpperCamelCase__					  =      []
																					for i in range(__lowerCAmelCase	):
																												UpperCamelCase__					  =      placeholder_token + f"""_{i}"""
																												self.try_adding_tokens(__lowerCAmelCase	,			*__lowerCAmelCase	,			**__lowerCAmelCase	)
																												output.append(__lowerCAmelCase	)
        # handle cases where there is a new placeholder token that contains the current placeholder token but is larger
														for token in self.token_map:
																					if token in placeholder_token:
																												raise ValueError(
																												    f"""The tokenizer already has placeholder token {token} that can get confused with"""
																												    f""" {placeholder_token}keep placeholder tokens independent"""	)
														UpperCamelCase__					  =      output






							def 					_lowerCamelCase		(    self	,			__lowerCAmelCase	,			__lowerCAmelCase=False	,			__lowerCAmelCase=1.0	):
														if isinstance(__lowerCAmelCase	,			__lowerCAmelCase	):
																					UpperCamelCase__					  =      []
																					for i in range(len(__lowerCAmelCase	)	):
																												output.append(self.replace_placeholder_tokens_in_text(text[i]	,			vector_shuffle=__lowerCAmelCase	)	)
																					return output
														for placeholder_token in self.token_map:
																					if placeholder_token in text:
																												UpperCamelCase__					  =      self.token_map[placeholder_token]
																												UpperCamelCase__					  =      tokens[: 1 + int(len(__lowerCAmelCase	) * prop_tokens_to_load	)]
																												if vector_shuffle:
																																			UpperCamelCase__					  =      copy.copy(__lowerCAmelCase	)
																																			random.shuffle(__lowerCAmelCase	)
																												UpperCamelCase__					  =      text.replace(__lowerCAmelCase	,			""" """.join(__lowerCAmelCase	)	)
														return text






							def __call__(    self	,			__lowerCAmelCase	,			*__lowerCAmelCase	,			__lowerCAmelCase=False	,			__lowerCAmelCase=1.0	,			**__lowerCAmelCase	):
														return super().__call__(
														    self.replace_placeholder_tokens_in_text(
														        __lowerCAmelCase	,			vector_shuffle=__lowerCAmelCase	,			prop_tokens_to_load=__lowerCAmelCase	)	,			*__lowerCAmelCase	,			**__lowerCAmelCase	,			)







							def 					_lowerCamelCase		(    self	,			__lowerCAmelCase	,			*__lowerCAmelCase	,			__lowerCAmelCase=False	,			__lowerCAmelCase=1.0	,			**__lowerCAmelCase	):
														return super().encode(
														    self.replace_placeholder_tokens_in_text(
														        __lowerCAmelCase	,			vector_shuffle=__lowerCAmelCase	,			prop_tokens_to_load=__lowerCAmelCase	)	,			*__lowerCAmelCase	,			**__lowerCAmelCase	,			)




