




import json
import os
from typing import Optional, Tuple

import regex as re

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


UpperCAmelCase_		:					Dict          =  logging.get_logger(__name__)

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

UpperCAmelCase_		:					str          =  {
    "vocab_file": {"ctrl": "https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-vocab.json"},
    "merges_file": {"ctrl": "https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-merges.txt"},
}

UpperCAmelCase_		:					Union[str, Any]          =  {
    "ctrl": 256,
}

UpperCAmelCase_		:					Optional[Any]          =  {
    "Pregnancy": 168629,
    "Christianity": 7675,
    "Explain": 106423,
    "Fitness": 63440,
    "Saving": 63163,
    "Ask": 27171,
    "Ass": 95985,
    "Joke": 163509,
    "Questions": 45622,
    "Thoughts": 49605,
    "Retail": 52342,
    "Feminism": 164338,
    "Writing": 11992,
    "Atheism": 192263,
    "Netflix": 48616,
    "Computing": 39639,
    "Opinion": 43213,
    "Alone": 44967,
    "Funny": 58917,
    "Gaming": 40358,
    "Human": 4088,
    "India": 1331,
    "Joker": 77138,
    "Diet": 36206,
    "Legal": 11859,
    "Norman": 4939,
    "Tip": 72689,
    "Weight": 52343,
    "Movies": 46273,
    "Running": 23425,
    "Science": 2090,
    "Horror": 37793,
    "Confession": 60572,
    "Finance": 12250,
    "Politics": 16360,
    "Scary": 191985,
    "Support": 12654,
    "Technologies": 32516,
    "Teenage": 66160,
    "Event": 32769,
    "Learned": 67460,
    "Notion": 182770,
    "Wikipedia": 37583,
    "Books": 6665,
    "Extract": 76050,
    "Confessions": 102701,
    "Conspiracy": 75932,
    "Links": 63674,
    "Narcissus": 150425,
    "Relationship": 54766,
    "Relationships": 134796,
    "Reviews": 41671,
    "News": 4256,
    "Translation": 26820,
    "multilingual": 128406,
}




def 		lowerCAmelCase_ (						lowerCamelCase ):
				__magic_name__						:						Tuple										=set()
				__magic_name__						:						Dict										=word[0]
				for char in word[1:]:
								pairs.add((prev_char, char) )
								__magic_name__						:						List[str]										=char

				__magic_name__						:						List[Any]										=set(lowerCamelCase )
				return pairs




class 		__A   (      UpperCamelCase__      ):
						UpperCamelCase      =       VOCAB_FILES_NAMES
						UpperCamelCase      =       PRETRAINED_VOCAB_FILES_MAP
						UpperCamelCase      =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						UpperCamelCase      =       CONTROL_CODES

						def __init__(		self :List[Any]     ,			__snake_case :Dict     ,			__snake_case :int     ,			__snake_case :Optional[int]="<unk>"     ,			**__snake_case :int			):
										'''simple docstring'''

										super().__init__(unk_token=__snake_case     ,			**__snake_case			)

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

						@property
						def      A__    (		self :Dict			):
										'''simple docstring'''

										return len(self.encoder			)

						def      A__    (		self :Optional[int]			):
										'''simple docstring'''

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

						def      A__    (		self :List[str]     ,			__snake_case :Tuple			):
										'''simple docstring'''

										if token in self.cache:
														return self.cache[token]
										__magic_name__						:						Any										=tuple(__snake_case			)
										__magic_name__						:						List[str]										=tuple(list(word[:-1]			) + [word[-1] + """</w>"""]			)
										__magic_name__						:						Tuple										=get_pairs(__snake_case			)

										if not pairs:
														return token

										while True:
														__magic_name__						:						List[Any]										=min(__snake_case     ,			key=lambda __snake_case			: self.bpe_ranks.get(__snake_case     ,			float("""inf"""			)			)			)
														if bigram not in self.bpe_ranks:
																		break
														__magic_name__					,			__magic_name__						:						List[Any]										=bigram
														__magic_name__						:						Any										=[]
														__magic_name__						:						Union[str, Any]										=0
														while i < len(__snake_case			):
																		try:
																						__magic_name__						:						Union[str, Any]										=word.index(__snake_case     ,			__snake_case			)
																		except ValueError:
																						new_word.extend(word[i:]			)
																						break
																		else:
																						new_word.extend(word[i:j]			)
																						__magic_name__						:						int										=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
														__magic_name__						:						Tuple										=tuple(__snake_case			)
														__magic_name__						:						List[str]										=new_word
														if len(__snake_case			) == 1:
																		break
														else:
																		__magic_name__						:						Any										=get_pairs(__snake_case			)
										__magic_name__						:						Any										="""@@ """.join(__snake_case			)
										__magic_name__						:						Optional[Any]										=word[:-4]
										__magic_name__						:						Union[str, Any]										=word
										return word

						def      A__    (		self :Optional[int]     ,			__snake_case :Dict			):
										'''simple docstring'''

										__magic_name__						:						str										=[]

										__magic_name__						:						Union[str, Any]										=re.findall(r"""\S+\n?"""     ,			__snake_case			)

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

						def      A__    (		self :Tuple     ,			__snake_case :str			):
										'''simple docstring'''

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

						def      A__    (		self :Optional[int]     ,			__snake_case :Optional[Any]			):
										'''simple docstring'''

										return self.decoder.get(__snake_case     ,			self.unk_token			)

						def      A__    (		self :Dict     ,			__snake_case :List[str]			):
										'''simple docstring'''

										__magic_name__						:						List[str]										=""" """.join(__snake_case			).replace("""@@ """     ,			""""""			).strip()
										return out_string


						def      A__    (		self :Any     ,			__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
										__magic_name__						:						str										=os.path.join(
										    __snake_case     ,			(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]			)
										__magic_name__						:						int										=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"""			)

										__magic_name__						:						int										=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!"""			)
																						__magic_name__						:						List[str]										=token_index
																		writer.write(""" """.join(__snake_case			) + """\n"""			)
																		index += 1

										return vocab_file, merge_file

						# def decode(self, token_ids, skip_special_tokens=False, clean_up_tokenization_spaces=True):
						#     filtered_tokens = ' '.join(self.convert_ids_to_tokens(token_ids, skip_special_tokens=skip_special_tokens))
						#     tokens_generated_so_far = re.sub('(@@ )', '', string=filtered_tokens)
						#     tokens_generated_so_far = re.sub('(@@ ?$)', '', string=tokens_generated_so_far)
						#     return ''.join(tokens_generated_so_far)







A									=  [
    'Audio',
    'Array2D',
    'Array3D',
    'Array4D',
    'Array5D',
    'ClassLabel',
    'Features',
    'Sequence',
    'Value',
    'Image',
    'Translation',
    'TranslationVariableLanguages',
]
from .audio import Audio
from .features import ArrayaD, ArrayaD, ArrayaD, ArrayaD, ClassLabel, Features, Sequence, Value
from .image import Image
from .translation import Translation, TranslationVariableLanguages
