





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__						:			Any									={
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
}

UpperCAmelCase__						:			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'''},
}

UpperCAmelCase__						:			Dict									={
    '''ctrl''': 2_56,
}

UpperCAmelCase__						:			Optional[Any]									={
    '''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      _lowercase					(						_UpperCAmelCase				)						->  int:
				lowerCamelCase	 =set()
				lowerCamelCase	 =word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)				)
								lowerCamelCase	 =char

				lowerCamelCase	 =set(_UpperCAmelCase				)
				return pairs




class       __A     (						a    ):
				__A      =				VOCAB_FILES_NAMES
				__A      =				PRETRAINED_VOCAB_FILES_MAP
				__A      =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__A      =				CONTROL_CODES


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

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


				@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   , UpperCAmelCase_							):
								if token in self.cache:
												return self.cache[token]
								lowerCamelCase	 =tuple(UpperCAmelCase_							)
								lowerCamelCase	 =tuple(list(word[:-1]							) + [word[-1] + """</w>"""]							)
								lowerCamelCase	 =get_pairs(UpperCAmelCase_							)

								if not pairs:
												return token

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

																if word[i] == first and i < len(UpperCAmelCase_							) - 1 and word[i + 1] == second:
																				new_word.append(first + second							)
																				i += 2
																else:
																				new_word.append(word[i]							)
																				i += 1
												lowerCamelCase	 =tuple(UpperCAmelCase_							)
												lowerCamelCase	 =new_word
												if len(UpperCAmelCase_							) == 1:
																break
												else:
																lowerCamelCase	 =get_pairs(UpperCAmelCase_							)
								lowerCamelCase	 ="""@@ """.join(UpperCAmelCase_							)
								lowerCamelCase	 =word[:-4]
								lowerCamelCase	 =word
								return word


				def _snake_case       (		self   , UpperCAmelCase_							):
								lowerCamelCase	 =[]

								lowerCamelCase	 =re.findall(r"""\S+\n?"""   , UpperCAmelCase_							)

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


				def _snake_case       (		self   , UpperCAmelCase_							):
								return self.encoder.get(UpperCAmelCase_   , self.encoder.get(self.unk_token							)							)


				def _snake_case       (		self   , UpperCAmelCase_							):
								return self.decoder.get(UpperCAmelCase_   , self.unk_token							)


				def _snake_case       (		self   , UpperCAmelCase_							):
								lowerCamelCase	 =""" """.join(UpperCAmelCase_							).replace("""@@ """   , """"""							).strip()
								return out_string


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

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

								lowerCamelCase	 =0
								with open(UpperCAmelCase_   , """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 UpperCAmelCase_							: 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!"""							)
																				lowerCamelCase	 =token_index
																writer.write(""" """.join(UpperCAmelCase_							) + """\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      _lowercase					(						_UpperCAmelCase			,      _UpperCAmelCase				)						->  list[str]:
				return [sentence[i : i + ngram_size] for i in range(len(_UpperCAmelCase				) - ngram_size + 1				)]


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

							testmod()





