






import json
import os
from typing import Optional, Tuple

import regex as re

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


__lowerCamelCase      :    Union[str, Any]   		=   logging.get_logger(__name__)

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

__lowerCamelCase      :    List[Any]   		=   {
    """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"""},
}

__lowerCamelCase      :    Optional[int]   		=   {
    """ctrl""": 256,
}

__lowerCamelCase      :    Any   		=   {
    """Pregnancy""": 16_8629,
    """Christianity""": 7675,
    """Explain""": 10_6423,
    """Fitness""": 6_3440,
    """Saving""": 6_3163,
    """Ask""": 2_7171,
    """Ass""": 9_5985,
    """Joke""": 16_3509,
    """Questions""": 4_5622,
    """Thoughts""": 4_9605,
    """Retail""": 5_2342,
    """Feminism""": 16_4338,
    """Writing""": 1_1992,
    """Atheism""": 19_2263,
    """Netflix""": 4_8616,
    """Computing""": 3_9639,
    """Opinion""": 4_3213,
    """Alone""": 4_4967,
    """Funny""": 5_8917,
    """Gaming""": 4_0358,
    """Human""": 4088,
    """India""": 1331,
    """Joker""": 7_7138,
    """Diet""": 3_6206,
    """Legal""": 1_1859,
    """Norman""": 4939,
    """Tip""": 7_2689,
    """Weight""": 5_2343,
    """Movies""": 4_6273,
    """Running""": 2_3425,
    """Science""": 2090,
    """Horror""": 3_7793,
    """Confession""": 6_0572,
    """Finance""": 1_2250,
    """Politics""": 1_6360,
    """Scary""": 19_1985,
    """Support""": 1_2654,
    """Technologies""": 3_2516,
    """Teenage""": 6_6160,
    """Event""": 3_2769,
    """Learned""": 6_7460,
    """Notion""": 18_2770,
    """Wikipedia""": 3_7583,
    """Books""": 6665,
    """Extract""": 7_6050,
    """Confessions""": 10_2701,
    """Conspiracy""": 7_5932,
    """Links""": 6_3674,
    """Narcissus""": 15_0425,
    """Relationship""": 5_4766,
    """Relationships""": 13_4796,
    """Reviews""": 4_1671,
    """News""": 4256,
    """Translation""": 2_6820,
    """multilingual""": 12_8406,
}







def   SCREAMING_SNAKE_CASE       (				snake_case_      :							List[str]     ):
	snake_case__				:   List[str]     =						set()
	snake_case__				:   List[Any]     =						word[0]
	for char in word[1:]:
		pairs.add((prev_char, char)     )
		snake_case__				:   List[str]     =						char

	snake_case__				:   Optional[int]     =						set(snake_case_     )
	return pairs





class 							SCREAMING_SNAKE_CASE__		(       UpperCamelCase_		):





					"""simple docstring"""






					a_			=	VOCAB_FILES_NAMES
					a_			=	PRETRAINED_VOCAB_FILES_MAP
					a_			=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					a_			=	CONTROL_CODES



					def __init__(      self  :						str							,	__A  :						Optional[int]							,	__A  :						Tuple							,	__A  :						Dict="<unk>"							,	**__A  :						int ):
						super().__init__(unk_token=__A							,	**__A )

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



					@property
					def  _lowercase  (      self  :						int ):
						return len(self.encoder )



					def  _lowercase  (      self  :						Optional[Any] ):
						return dict(self.encoder							,	**self.added_tokens_encoder )



					def  _lowercase  (      self  :						str							,	__A  :						str ):
						if token in self.cache:
							return self.cache[token]
						snake_case__				:   Optional[Any]     =						tuple(__A )
						snake_case__				:   List[Any]     =						tuple(list(word[:-1] ) + [word[-1] + "</w>"] )
						snake_case__				:   str     =						get_pairs(__A )

						if not pairs:
							return token

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



					def  _lowercase  (      self  :						int							,	__A  :						Optional[int] ):
						snake_case__				:   Optional[int]     =						[]

						snake_case__				:   Optional[int]     =						re.findall(R"\S+\n?"							,	__A )

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



					def  _lowercase  (      self  :						List[Any]							,	__A  :						Dict ):
						return self.encoder.get(__A							,	self.encoder.get(self.unk_token ) )



					def  _lowercase  (      self  :						Optional[int]							,	__A  :						Union[str, Any] ):
						return self.decoder.get(__A							,	self.unk_token )



					def  _lowercase  (      self  :						Optional[Any]							,	__A  :						Optional[int] ):
						snake_case__				:   int     =						" ".join(__A ).replace("@@ "							,	"" ).strip()
						return out_string






					def  _lowercase  (      self  :						Tuple							,	__A  :						str							,	__A  :						Optional[str] = None ):
						if not os.path.isdir(__A ):
							logger.error(f'''Vocabulary path ({save_directory}) should be a directory''' )
							return
						snake_case__				:   Any     =						os.path.join(
						    __A							,	(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"] )
						snake_case__				:   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" )

						snake_case__				:   str     =						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!" )
									snake_case__				:   Tuple     =						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)











def   SCREAMING_SNAKE_CASE       (				snake_case_      :							str     ):
	snake_case__				:   Any     =						[0] * len(snake_case_     )

	for i in range(1  ,						len(snake_case_     )     ):
		# use last results for better performance - dynamic programming
		snake_case__				:   Union[str, Any]     =						prefix_result[i - 1]
		while j > 0 and input_string[i] != input_string[j]:
			snake_case__				:   str     =						prefix_result[j - 1]

		if input_string[i] == input_string[j]:
			j += 1
		snake_case__				:   int     =						j

	return prefix_result







def   SCREAMING_SNAKE_CASE       (				snake_case_      :							str     ):
	return max(prefix_function(snake_case_     )     )


if __name__ == "__main__":
	import doctest

	doctest.testmod()



