


"""simple docstring"""




import json
import os
from typing import Optional, Tuple

import regex as re

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


lowercase_			     =  logging.get_logger(__name__)

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

lowercase_			     =  {
    "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"},
}

lowercase_			     =  {
    "ctrl": 2_5_6,
}

lowercase_			     =  {
    "Pregnancy": 1_6_8_6_2_9,
    "Christianity": 7_6_7_5,
    "Explain": 1_0_6_4_2_3,
    "Fitness": 6_3_4_4_0,
    "Saving": 6_3_1_6_3,
    "Ask": 2_7_1_7_1,
    "Ass": 9_5_9_8_5,
    "Joke": 1_6_3_5_0_9,
    "Questions": 4_5_6_2_2,
    "Thoughts": 4_9_6_0_5,
    "Retail": 5_2_3_4_2,
    "Feminism": 1_6_4_3_3_8,
    "Writing": 1_1_9_9_2,
    "Atheism": 1_9_2_2_6_3,
    "Netflix": 4_8_6_1_6,
    "Computing": 3_9_6_3_9,
    "Opinion": 4_3_2_1_3,
    "Alone": 4_4_9_6_7,
    "Funny": 5_8_9_1_7,
    "Gaming": 4_0_3_5_8,
    "Human": 4_0_8_8,
    "India": 1_3_3_1,
    "Joker": 7_7_1_3_8,
    "Diet": 3_6_2_0_6,
    "Legal": 1_1_8_5_9,
    "Norman": 4_9_3_9,
    "Tip": 7_2_6_8_9,
    "Weight": 5_2_3_4_3,
    "Movies": 4_6_2_7_3,
    "Running": 2_3_4_2_5,
    "Science": 2_0_9_0,
    "Horror": 3_7_7_9_3,
    "Confession": 6_0_5_7_2,
    "Finance": 1_2_2_5_0,
    "Politics": 1_6_3_6_0,
    "Scary": 1_9_1_9_8_5,
    "Support": 1_2_6_5_4,
    "Technologies": 3_2_5_1_6,
    "Teenage": 6_6_1_6_0,
    "Event": 3_2_7_6_9,
    "Learned": 6_7_4_6_0,
    "Notion": 1_8_2_7_7_0,
    "Wikipedia": 3_7_5_8_3,
    "Books": 6_6_6_5,
    "Extract": 7_6_0_5_0,
    "Confessions": 1_0_2_7_0_1,
    "Conspiracy": 7_5_9_3_2,
    "Links": 6_3_6_7_4,
    "Narcissus": 1_5_0_4_2_5,
    "Relationship": 5_4_7_6_6,
    "Relationships": 1_3_4_7_9_6,
    "Reviews": 4_1_6_7_1,
    "News": 4_2_5_6,
    "Translation": 2_6_8_2_0,
    "multilingual": 1_2_8_4_0_6,
}

def        lowercase							(		lowerCAmelCase__ :     List[str]			) ->      str:
		__a           =			set()
		__a           =			word[0]
		for char in word[1:]:
				pairs.add((prev_char, char)			)
				__a           =			char

		__a           =			set(lowerCAmelCase__			)
		return pairs




class 					__lowerCAmelCase					(   __SCREAMING_SNAKE_CASE       ):


		'''simple docstring'''



		__UpperCAmelCase		:			Dict										=				VOCAB_FILES_NAMES
		__UpperCAmelCase		:			Dict										=				PRETRAINED_VOCAB_FILES_MAP
		__UpperCAmelCase		:			Dict										=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		__UpperCAmelCase		:			int										=				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           =			json.load(_a      )
				__a           =			{v: k for k, v in self.encoder.items()}
				with open(_a							, encoding='''utf-8'''      ) as merges_handle:
						__a           =			merges_handle.read().split('''\n'''      )[1:-1]
				__a           =			[tuple(merge.split()      ) for merge in merges]
				__a           =			dict(zip(_a							, range(len(_a      )      )      )      )
				__a           =			{}

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

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

		def 			__UpperCAmelCase       (  self							, _a      ):
				if token in self.cache:
						return self.cache[token]
				__a           =			tuple(_a      )
				__a           =			tuple(list(word[:-1]      ) + [word[-1] + '''</w>''']      )
				__a           =			get_pairs(_a      )

				if not pairs:
						return token

				while True:
						__a           =			min(_a							, key=lambda _a      : self.bpe_ranks.get(_a							, float('''inf'''      )      )      )
						if bigram not in self.bpe_ranks:
								break
						__a      ,     __a           =			bigram
						__a           =			[]
						__a           =			0
						while i < len(_a      ):
								try:
										__a           =			word.index(_a							, _a      )
								except ValueError:
										new_word.extend(word[i:]      )
										break
								else:
										new_word.extend(word[i:j]      )
										__a           =			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           =			tuple(_a      )
						__a           =			new_word
						if len(_a      ) == 1:
								break
						else:
								__a           =			get_pairs(_a      )
				__a           =			'''@@ '''.join(_a      )
				__a           =			word[:-4]
				__a           =			word
				return word

		def 			__UpperCAmelCase       (  self							, _a      ):
				__a           =			[]

				__a           =			re.findall(R'''\S+\n?'''							, _a      )

				for token in words:
						split_tokens.extend(list(self.bpe(_a      ).split(''' '''      )      )      )
				return split_tokens

		def 			__UpperCAmelCase       (  self							, _a      ):
				return self.encoder.get(_a							, self.encoder.get(self.unk_token      )      )

		def 			__UpperCAmelCase       (  self							, _a      ):
				return self.decoder.get(_a							, self.unk_token      )

		def 			__UpperCAmelCase       (  self							, _a      ):
				__a           =			''' '''.join(_a      ).replace('''@@ '''							, ''''''      ).strip()
				return out_string





		def 			__UpperCAmelCase       (  self							, _a							, _a = None      ):
				if not os.path.isdir(_a      ):
						logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''      )
						return
				__a           =			os.path.join(
				    _a							, (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']      )
				__a           =			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           =			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           =			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"""




def        lowercase							(		lowerCAmelCase__ :     str    ,					lowerCAmelCase__ :     list[str]			) ->      str:
		__a           =			''''''
		for word_or_phrase in separated:
				if not isinstance(lowerCAmelCase__    ,					lowerCAmelCase__			):
						raise Exception('''join() accepts only strings to be joined'''			)
				joined += word_or_phrase + separator
		return joined.strip(lowerCAmelCase__			)


if __name__ == "__main__":
				from doctest import testmod

				testmod()






