

import json
import os
from typing import Optional, Tuple

import regex as re

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


_UpperCAmelCase	:     Tuple		       = logging.get_logger(__name__)

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

_UpperCAmelCase	:     Optional[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	:     List[Any]		       = {
    """ctrl""": 256,
}

_UpperCAmelCase	:     Union[str, 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       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






							snake_case_           =					set()
							snake_case_           =					word[0]
							for char in word[1:]:
														pairs.add((prev_char, char)   )
														snake_case_           =					char

							snake_case_           =					set(UpperCamelCase__   )
							return pairs







class 				lowercase       ( lowercase_    ):
				__SCREAMING_SNAKE_CASE      :				Optional[int]     =    VOCAB_FILES_NAMES
				__SCREAMING_SNAKE_CASE      :				Tuple     =    PRETRAINED_VOCAB_FILES_MAP
				__SCREAMING_SNAKE_CASE      :				Union[str, Any]     =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__SCREAMING_SNAKE_CASE      :				Tuple     =    CONTROL_CODES




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

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




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




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




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

											if not pairs:
																		return token

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

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




				def 					a							(      self   ,     snake_case ):
											snake_case_           =					[]

											snake_case_           =					re.findall(R'\S+\n?'   ,     snake_case )

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




				def 					a							(      self   ,     snake_case ):
											return self.encoder.get(snake_case   ,     self.encoder.get(self.unk_token ) )




				def 					a							(      self   ,     snake_case ):
											return self.decoder.get(snake_case   ,     self.unk_token )




				def 					a							(      self   ,     snake_case ):
											snake_case_           =					' '.join(snake_case ).replace('@@ '   ,     '' ).strip()
											return out_string




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

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

											snake_case_           =					0
											with open(snake_case   ,     '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 snake_case : 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_           =					token_index
																									writer.write(' '.join(snake_case ) + '\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)







import warnings

from ...utils import logging
from .image_processing_deformable_detr import DeformableDetrImageProcessor


_UpperCAmelCase	:     Any		       = logging.get_logger(__name__)







class 				lowercase       ( lowercase_    ):




				def __init__(      self   ,     *snake_case   ,     **snake_case ):
											warnings.warn(
											    'The class DeformableDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
											    ' Please use DeformableDetrImageProcessor instead.'   ,     snake_case   ,     )
											super().__init__(*snake_case   ,     **snake_case )




