



"""simple docstring"""
import json
import os
from typing import Optional, Tuple

import regex as re

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


SCREAMING_SNAKE_CASE_				= logging.get_logger(__name__)

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

SCREAMING_SNAKE_CASE_				= {
    """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"""},
}

SCREAMING_SNAKE_CASE_				= {
    """ctrl""": 2_56,
}

SCREAMING_SNAKE_CASE_				= {
    """Pregnancy""": 16_86_29,
    """Christianity""": 76_75,
    """Explain""": 10_64_23,
    """Fitness""": 6_34_40,
    """Saving""": 6_31_63,
    """Ask""": 2_71_71,
    """Ass""": 9_59_85,
    """Joke""": 16_35_09,
    """Questions""": 4_56_22,
    """Thoughts""": 4_96_05,
    """Retail""": 5_23_42,
    """Feminism""": 16_43_38,
    """Writing""": 1_19_92,
    """Atheism""": 19_22_63,
    """Netflix""": 4_86_16,
    """Computing""": 3_96_39,
    """Opinion""": 4_32_13,
    """Alone""": 4_49_67,
    """Funny""": 5_89_17,
    """Gaming""": 4_03_58,
    """Human""": 40_88,
    """India""": 13_31,
    """Joker""": 7_71_38,
    """Diet""": 3_62_06,
    """Legal""": 1_18_59,
    """Norman""": 49_39,
    """Tip""": 7_26_89,
    """Weight""": 5_23_43,
    """Movies""": 4_62_73,
    """Running""": 2_34_25,
    """Science""": 20_90,
    """Horror""": 3_77_93,
    """Confession""": 6_05_72,
    """Finance""": 1_22_50,
    """Politics""": 1_63_60,
    """Scary""": 19_19_85,
    """Support""": 1_26_54,
    """Technologies""": 3_25_16,
    """Teenage""": 6_61_60,
    """Event""": 3_27_69,
    """Learned""": 6_74_60,
    """Notion""": 18_27_70,
    """Wikipedia""": 3_75_83,
    """Books""": 66_65,
    """Extract""": 7_60_50,
    """Confessions""": 10_27_01,
    """Conspiracy""": 7_59_32,
    """Links""": 6_36_74,
    """Narcissus""": 15_04_25,
    """Relationship""": 5_47_66,
    """Relationships""": 13_47_96,
    """Reviews""": 4_16_71,
    """News""": 42_56,
    """Translation""": 2_68_20,
    """multilingual""": 12_84_06,
}



def        lowerCAmelCase_						(							SCREAMING_SNAKE_CASE__	)			->      Optional[int]:
		a_     :      List[Any] 						=     set()
		a_     :      Any 						=     word[0]
		for char in word[1:]:
				pairs.add((prev_char, char)	)
				a_     :      Optional[int] 						=     char

		a_     :      int 						=     set(SCREAMING_SNAKE_CASE__	)
		return pairs




class 			snake_case_						(						a_				):
							__lowerCAmelCase    					=					VOCAB_FILES_NAMES
							__lowerCAmelCase    					=					PRETRAINED_VOCAB_FILES_MAP
							__lowerCAmelCase    					=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							__lowerCAmelCase    					=					CONTROL_CODES






							def __init__(   self			,     a_			,     a_			,     a_="<unk>"			,     **a_      ):
									super().__init__(unk_token=a_			,     **a_      )

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






							@property
							def snake_case_  (   self      ):
									return len(self.encoder      )






							def snake_case_  (   self      ):
									return dict(self.encoder			,     **self.added_tokens_encoder      )






							def snake_case_  (   self			,     a_      ):
									if token in self.cache:
											return self.cache[token]
									a_     :      Optional[Any] 						=     tuple(a_      )
									a_     :      Tuple 						=     tuple(list(word[:-1]      ) + [word[-1] + "</w>"]      )
									a_     :      int 						=     get_pairs(a_      )

									if not pairs:
											return token

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

													if word[i] == first and i < len(a_      ) - 1 and word[i + 1] == second:
															new_word.append(first + second      )
															i += 2
													else:
															new_word.append(word[i]      )
															i += 1
											a_     :      Optional[Any] 						=     tuple(a_      )
											a_     :      Tuple 						=     new_word
											if len(a_      ) == 1:
													break
											else:
													a_     :      int 						=     get_pairs(a_      )
									a_     :      str 						=     "@@ ".join(a_      )
									a_     :      Tuple 						=     word[:-4]
									a_     :      Union[str, Any] 						=     word
									return word






							def snake_case_  (   self			,     a_      ):
									a_     :      Tuple 						=     []

									a_     :      Tuple 						=     re.findall(R"\S+\n?"			,     a_      )

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






							def snake_case_  (   self			,     a_      ):
									return self.encoder.get(a_			,     self.encoder.get(self.unk_token      )      )






							def snake_case_  (   self			,     a_      ):
									return self.decoder.get(a_			,     self.unk_token      )






							def snake_case_  (   self			,     a_      ):
									a_     :      Optional[int] 						=     " ".join(a_      ).replace("@@ "			,     ""      ).strip()
									return out_string






							def snake_case_  (   self			,     a_			,     a_ = None      ):
									if not os.path.isdir(a_      ):
											logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""      )
											return
									a_     :      Optional[Any] 						=     os.path.join(
									    a_			,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]      )
									a_     :      List[Any] 						=     os.path.join(
									    a_			,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]      )

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

									a_     :      Any 						=     0
									with open(a_			,     "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 a_      : 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_     :      int 						=     token_index
													writer.write(" ".join(a_      ) + "\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)




"""simple docstring"""
SCREAMING_SNAKE_CASE_				= 0  # The first color of the flag.
SCREAMING_SNAKE_CASE_				= 1  # The second color of the flag.
SCREAMING_SNAKE_CASE_				= 2  # The third color of the flag.
SCREAMING_SNAKE_CASE_				= (red, white, blue)



def        lowerCAmelCase_						(							SCREAMING_SNAKE_CASE__	)			->      list:
		if not sequence:
				return []
		if len(SCREAMING_SNAKE_CASE__	) == 1:
				return list(SCREAMING_SNAKE_CASE__	)
		a_     :      Dict 						=     0
		a_     :      List[Any] 						=     len(SCREAMING_SNAKE_CASE__	) - 1
		a_     :      str 						=     0
		while mid <= high:
				if sequence[mid] == colors[0]:
						a_						,				a_     :      int 						=     sequence[mid], sequence[low]
						low += 1
						mid += 1
				elif sequence[mid] == colors[1]:
						mid += 1
				elif sequence[mid] == colors[2]:
						a_						,				a_     :      List[Any] 						=     sequence[high], sequence[mid]
						high -= 1
				else:
						a_     :      Dict 						=     F"""The elements inside the sequence must contains only {colors} values"""
						raise ValueError(SCREAMING_SNAKE_CASE__	)
		return sequence


if __name__ == "__main__":
					import doctest

					doctest.testmod()

					SCREAMING_SNAKE_CASE_				= input("""Enter numbers separated by commas:\n""").strip()
					SCREAMING_SNAKE_CASE_				= [int(item.strip()) for item in user_input.split(""",""")]
					print(F"""{dutch_national_flag_sort(unsorted)}""")