


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__			:      List[str]								={
    '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__			:      List[str]								={
    'ctrl': 2_56,
}

lowerCAmelCase__			:      Optional[int]								={
    '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 						a__			(				A__				):
			SCREAMING_SNAKE_CASE_		:     Optional[int]					=					set()
			SCREAMING_SNAKE_CASE_		:     str					=					word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)				)
						SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					char

			SCREAMING_SNAKE_CASE_		:     Tuple					=					set(A__				)
			return pairs







class 	__lowercase    (__SCREAMING_SNAKE_CASE  ):





							"""simple docstring"""







							_UpperCAmelCase      =						VOCAB_FILES_NAMES
							_UpperCAmelCase      =						PRETRAINED_VOCAB_FILES_MAP
							_UpperCAmelCase      =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							_UpperCAmelCase      =						CONTROL_CODES






							def __init__(      self			,						lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__="<unk>"			,						**lowerCAmelCase__       ):





										"""simple docstring"""




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

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






							@property
							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										return len(self.encoder       )






							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




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






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__       ):





										"""simple docstring"""




										if token in self.cache:
													return self.cache[token]
										SCREAMING_SNAKE_CASE_		:     List[Any]					=					tuple(lowerCAmelCase__       )
										SCREAMING_SNAKE_CASE_		:     Tuple					=					tuple(list(word[:-1]       ) + [word[-1] + '</w>']       )
										SCREAMING_SNAKE_CASE_		:     Dict					=					get_pairs(lowerCAmelCase__       )

										if not pairs:
													return token

										while True:
													SCREAMING_SNAKE_CASE_		:     List[Any]					=					min(lowerCAmelCase__			,						key=lambda lowerCAmelCase__       : self.bpe_ranks.get(lowerCAmelCase__			,						float('inf'       )       )       )
													if bigram not in self.bpe_ranks:
																break
													SCREAMING_SNAKE_CASE_		,      SCREAMING_SNAKE_CASE_		:     List[str]					=					bigram
													SCREAMING_SNAKE_CASE_		:     List[str]					=					[]
													SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					0
													while i < len(lowerCAmelCase__       ):
																try:
																			SCREAMING_SNAKE_CASE_		:     List[Any]					=					word.index(lowerCAmelCase__			,						lowerCAmelCase__       )
																except ValueError:
																			new_word.extend(word[i:]       )
																			break
																else:
																			new_word.extend(word[i:j]       )
																			SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					j

																if word[i] == first and i < len(lowerCAmelCase__       ) - 1 and word[i + 1] == second:
																			new_word.append(first + second       )
																			i += 2
																else:
																			new_word.append(word[i]       )
																			i += 1
													SCREAMING_SNAKE_CASE_		:     Dict					=					tuple(lowerCAmelCase__       )
													SCREAMING_SNAKE_CASE_		:     Optional[int]					=					new_word
													if len(lowerCAmelCase__       ) == 1:
																break
													else:
																SCREAMING_SNAKE_CASE_		:     Tuple					=					get_pairs(lowerCAmelCase__       )
										SCREAMING_SNAKE_CASE_		:     int					=					'@@ '.join(lowerCAmelCase__       )
										SCREAMING_SNAKE_CASE_		:     List[str]					=					word[:-4]
										SCREAMING_SNAKE_CASE_		:     Tuple					=					word
										return word






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     str					=					[]

										SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					re.findall(r'\S+\n?'			,						lowerCAmelCase__       )

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






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__       ):





										"""simple docstring"""




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






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__       ):





										"""simple docstring"""




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






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     int					=					' '.join(lowerCAmelCase__       ).replace('@@ '			,						''       ).strip()
										return out_string






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__			,						lowerCAmelCase__ = None       ):





										"""simple docstring"""




										if not os.path.isdir(lowerCAmelCase__       ):
													logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''       )
													return
										SCREAMING_SNAKE_CASE_		:     int					=					os.path.join(
										    lowerCAmelCase__			,						(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']       )
										SCREAMING_SNAKE_CASE_		:     Any					=					os.path.join(
										    lowerCAmelCase__			,						(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']       )

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

										SCREAMING_SNAKE_CASE_		:     Dict					=					0
										with open(lowerCAmelCase__			,						'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 lowerCAmelCase__       : 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!'       )
																			SCREAMING_SNAKE_CASE_		:     Dict					=					token_index
																writer.write(' '.join(lowerCAmelCase__       ) + '\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'''

import warnings

from ...utils import logging
from .image_processing_deit import DeiTImageProcessor


__lowerCAmelCase		     =  logging.get_logger(__name__)

class       __magic_name__		(       _UpperCamelCase  ):







							def __init__(				self   :			Tuple      ,*_UpperCAmelCase   :			str      ,**_UpperCAmelCase   :			int						):
									warnings.warn(
									    'The class DeiTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
									    ' use DeiTImageProcessor instead.'      ,_UpperCAmelCase      ,)
									super().__init__(*_UpperCAmelCase      ,**_UpperCAmelCase						)




