





import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
		from transformers.pipelines.conversational import Conversation

_lowercase		:     Tuple 					=logging.get_logger(__name__)

_lowercase		:     List[Any] 					={
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
}

_lowercase		:     int 					={
    """vocab_file""": {
        """gpt2""": """https://huggingface.co/gpt2/resolve/main/vocab.json""",
        """gpt2-medium""": """https://huggingface.co/gpt2-medium/resolve/main/vocab.json""",
        """gpt2-large""": """https://huggingface.co/gpt2-large/resolve/main/vocab.json""",
        """gpt2-xl""": """https://huggingface.co/gpt2-xl/resolve/main/vocab.json""",
        """distilgpt2""": """https://huggingface.co/distilgpt2/resolve/main/vocab.json""",
    },
    """merges_file""": {
        """gpt2""": """https://huggingface.co/gpt2/resolve/main/merges.txt""",
        """gpt2-medium""": """https://huggingface.co/gpt2-medium/resolve/main/merges.txt""",
        """gpt2-large""": """https://huggingface.co/gpt2-large/resolve/main/merges.txt""",
        """gpt2-xl""": """https://huggingface.co/gpt2-xl/resolve/main/merges.txt""",
        """distilgpt2""": """https://huggingface.co/distilgpt2/resolve/main/merges.txt""",
    },
}

_lowercase		:     List[Any] 					={
    """gpt2""": 1024,
    """gpt2-medium""": 1024,
    """gpt2-large""": 1024,
    """gpt2-xl""": 1024,
    """distilgpt2""": 1024,
}


@lru_cache()
def 		_SCREAMING_SNAKE_CASE    (   ):
		lowerCamelCase_  :    str   	=			(
		    list(range(ord('!'	)       ,ord('~'	) + 1	)	) + list(range(ord('¡'	)       ,ord('¬'	) + 1	)	) + list(range(ord('®'	)       ,ord('ÿ'	) + 1	)	)
		)
		lowerCamelCase_  :    Optional[int]   	=			bs[:]
		lowerCamelCase_  :    List[Any]   	=			0
		for b in range(2**8	):
				if b not in bs:
						bs.append(lowerCAmelCase__	)
						cs.append(2**8 + n	)
						n += 1
		lowerCamelCase_  :    Union[str, Any]   	=			[chr(lowerCAmelCase__	) for n in cs]
		return dict(zip(lowerCAmelCase__       ,lowerCAmelCase__	)	)


def 		_SCREAMING_SNAKE_CASE    (   lowerCAmelCase__	):
		lowerCamelCase_  :    Tuple   	=			set()
		lowerCamelCase_  :    Any   	=			word[0]
		for char in word[1:]:
				pairs.add((prev_char, char)	)
				lowerCamelCase_  :    List[str]   	=			char
		return pairs






class 	UpperCamelCase_     (     __lowerCamelCase       ):
					_a			:	Optional[Any]							=				VOCAB_FILES_NAMES
					_a			:	str							=				PRETRAINED_VOCAB_FILES_MAP
					_a			:	str							=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					_a			:	Dict							=				['input_ids', 'attention_mask']



					def __init__(		self    :    List[str]					,			lowerCamelCase    :    List[Any]					,			lowerCamelCase    :    Dict					,			lowerCamelCase    :    List[Any]="replace"					,			lowerCamelCase    :    int="<|endoftext|>"					,			lowerCamelCase    :    Optional[Any]="<|endoftext|>"					,			lowerCamelCase    :    List[Any]="<|endoftext|>"					,			lowerCamelCase    :    Optional[Any]=None					,			lowerCamelCase    :    int=False					,			lowerCamelCase    :    Any=False					,			**lowerCamelCase    :    Union[str, Any]					,			):
							lowerCamelCase_  :    Any   	=			AddedToken(lowerCamelCase					,			lstrip=lowerCamelCase					,			rstrip=lowerCamelCase	) if isinstance(lowerCamelCase					,			lowerCamelCase	) else bos_token
							lowerCamelCase_  :    Dict   	=			AddedToken(lowerCamelCase					,			lstrip=lowerCamelCase					,			rstrip=lowerCamelCase	) if isinstance(lowerCamelCase					,			lowerCamelCase	) else eos_token
							lowerCamelCase_  :    Tuple   	=			AddedToken(lowerCamelCase					,			lstrip=lowerCamelCase					,			rstrip=lowerCamelCase	) if isinstance(lowerCamelCase					,			lowerCamelCase	) else unk_token
							lowerCamelCase_  :    Any   	=			AddedToken(lowerCamelCase					,			lstrip=lowerCamelCase					,			rstrip=lowerCamelCase	) if isinstance(lowerCamelCase					,			lowerCamelCase	) else pad_token
							super().__init__(
							    errors=lowerCamelCase					,			unk_token=lowerCamelCase					,			bos_token=lowerCamelCase					,			eos_token=lowerCamelCase					,			pad_token=lowerCamelCase					,			add_prefix_space=lowerCamelCase					,			add_bos_token=lowerCamelCase					,			**lowerCamelCase					,			)
							lowerCamelCase_  :    Dict   	=			add_bos_token

							with open(lowerCamelCase					,			encoding='utf-8'	) as vocab_handle:
									lowerCamelCase_  :    Tuple   	=			json.load(lowerCamelCase	)
							lowerCamelCase_  :    Tuple   	=			{v: k for k, v in self.encoder.items()}
							lowerCamelCase_  :    List[Any]   	=			errors  # how to handle errors in decoding
							lowerCamelCase_  :    Optional[int]   	=			bytes_to_unicode()
							lowerCamelCase_  :    List[Any]   	=			{v: k for k, v in self.byte_encoder.items()}
							with open(lowerCamelCase					,			encoding='utf-8'	) as merges_handle:
									lowerCamelCase_  :    int   	=			merges_handle.read().split('\n'	)[1:-1]
							lowerCamelCase_  :    Tuple   	=			[tuple(merge.split()	) for merge in bpe_merges]
							lowerCamelCase_  :    List[str]   	=			dict(zip(lowerCamelCase					,			range(len(lowerCamelCase	)	)	)	)
							lowerCamelCase_  :    int   	=			{}
							lowerCamelCase_  :    Optional[int]   	=			add_prefix_space

							# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
							lowerCamelCase_  :    Any   	=			re.compile(r'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'	)



					@property
					def      __a    (		self    :    Optional[int]	):
							return len(self.encoder	)



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



					def      __a    (		self    :    List[str]					,			lowerCamelCase    :    Optional[Any]	):






							if token in self.cache:
									return self.cache[token]
							lowerCamelCase_  :    str   	=			tuple(lowerCamelCase	)
							lowerCamelCase_  :    Union[str, Any]   	=			get_pairs(lowerCamelCase	)

							if not pairs:
									return token

							while True:
									lowerCamelCase_  :    str   	=			min(lowerCamelCase					,			key=lambda lowerCamelCase	: self.bpe_ranks.get(lowerCamelCase					,			float('inf'	)	)	)
									if bigram not in self.bpe_ranks:
											break
									lowerCamelCase_	,			lowerCamelCase_  :    List[Any]   	=			bigram
									lowerCamelCase_  :    Union[str, Any]   	=			[]
									lowerCamelCase_  :    Tuple   	=			0
									while i < len(lowerCamelCase	):
											try:
													lowerCamelCase_  :    Any   	=			word.index(lowerCamelCase					,			lowerCamelCase	)
											except ValueError:
													new_word.extend(word[i:]	)
													break
											else:
													new_word.extend(word[i:j]	)
													lowerCamelCase_  :    List[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
									lowerCamelCase_  :    Any   	=			tuple(lowerCamelCase	)
									lowerCamelCase_  :    List[Any]   	=			new_word
									if len(lowerCamelCase	) == 1:
											break
									else:
											lowerCamelCase_  :    Optional[Any]   	=			get_pairs(lowerCamelCase	)
							lowerCamelCase_  :    List[Any]   	=			' '.join(lowerCamelCase	)
							lowerCamelCase_  :    List[Any]   	=			word
							return word



					def      __a    (		self    :    Any					,			lowerCamelCase    :    List[str]					,			lowerCamelCase    :    str=None	):






							if self.add_bos_token:
									lowerCamelCase_  :    List[str]   	=			[self.bos_token_id]
							else:
									lowerCamelCase_  :    Optional[int]   	=			[]

							lowerCamelCase_  :    Any   	=			bos_token_ids + token_ids_a

							if token_ids_a is None:
									return output

							return output + bos_token_ids + token_ids_a



					def      __a    (		self    :    Tuple					,			lowerCamelCase    :    List[int]					,			lowerCamelCase    :    Optional[List[int]] = None					,			lowerCamelCase    :    bool = False	):






							if already_has_special_tokens:
									return super().get_special_tokens_mask(
									    token_ids_a=lowerCamelCase					,			token_ids_a=lowerCamelCase					,			already_has_special_tokens=lowerCamelCase	)

							if not self.add_bos_token:
									return super().get_special_tokens_mask(
									    token_ids_a=lowerCamelCase					,			token_ids_a=lowerCamelCase					,			already_has_special_tokens=lowerCamelCase	)

							if token_ids_a is None:
									return [1] + ([0] * len(lowerCamelCase	))
							return [1] + ([0] * len(lowerCamelCase	)) + [1] + ([0] * len(lowerCamelCase	))



					def      __a    (		self    :    int					,			lowerCamelCase    :    Union[str, Any]	):
							lowerCamelCase_  :    List[str]   	=			[]
							for token in re.findall(self.pat					,			lowerCamelCase	):
									lowerCamelCase_  :    List[str]   	=			''.join(
									    self.byte_encoder[b] for b in token.encode('utf-8'	)	)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
									bpe_tokens.extend(bpe_token for bpe_token in self.bpe(lowerCamelCase	).split(' '	)	)
							return bpe_tokens



					def      __a    (		self    :    str					,			lowerCamelCase    :    List[Any]	):
							return self.encoder.get(lowerCamelCase					,			self.encoder.get(self.unk_token	)	)



					def      __a    (		self    :    Optional[Any]					,			lowerCamelCase    :    Optional[int]	):
							return self.decoder.get(lowerCamelCase	)



					def      __a    (		self    :    str					,			lowerCamelCase    :    Union[str, Any]	):
							lowerCamelCase_  :    Tuple   	=			''.join(lowerCamelCase	)
							lowerCamelCase_  :    str   	=			bytearray([self.byte_decoder[c] for c in text]	).decode('utf-8'					,			errors=self.errors	)
							return text



					def      __a    (		self    :    Any					,			lowerCamelCase    :    str					,			lowerCamelCase    :    Optional[str] = None	):






							if not os.path.isdir(lowerCamelCase	):
									logger.error(F"Vocabulary path ({save_directory}) should be a directory"	)
									return
							lowerCamelCase_  :    Dict   	=			os.path.join(
							    lowerCamelCase					,			(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']	)
							lowerCamelCase_  :    str   	=			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'	)

							lowerCamelCase_  :    List[Any]   	=			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!'	)
													lowerCamelCase_  :    List[Any]   	=			token_index
											writer.write(' '.join(lowerCamelCase	) + '\n'	)
											index += 1

							return vocab_file, merge_file



					def      __a    (		self    :    Dict					,			lowerCamelCase    :    Union[str, Any]					,			lowerCamelCase    :    List[str]=False					,			**lowerCamelCase    :    Optional[int]	):
							lowerCamelCase_  :    Union[str, Any]   	=			kwargs.pop('add_prefix_space'					,			self.add_prefix_space	)
							if is_split_into_words or add_prefix_space:
									lowerCamelCase_  :    Dict   	=			' ' + text
							return (text, kwargs)





					def      __a    (		self    :    Optional[int]					,			lowerCamelCase    :    "Conversation"	):
							lowerCamelCase_  :    Any   	=			[]
							for is_user, text in conversation.iter_texts():
									input_ids.extend(self.encode(lowerCamelCase					,			add_special_tokens=lowerCamelCase	) + [self.eos_token_id]	)
							if len(lowerCamelCase	) > self.model_max_length:
									lowerCamelCase_  :    List[Any]   	=			input_ids[-self.model_max_length :]
							return input_ids







from __future__ import annotations


def 		_SCREAMING_SNAKE_CASE    (   lowerCAmelCase__	):
		lowerCamelCase_  :    int
		lowerCamelCase_  :    list[str]   	=			list(lowerCAmelCase__	)
		lowerCamelCase_	,			lowerCamelCase_  :    List[str]   	=			_vector[:-1], int(_vector[-1]	)
		lowerCamelCase_  :    list[int]   	=			[int(lowerCAmelCase__	) for digit in __vector]

		vector.reverse()
		for i, digit in enumerate(lowerCAmelCase__	):
				if i & 1 == 0:
						lowerCamelCase_  :    int   	=			digit * 2
						if doubled > 9:
								doubled -= 9
						check_digit += doubled
				else:
						check_digit += digit

		return check_digit % 10 == 0


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		assert is_luhn("""79927398713""")
		assert not is_luhn("""79927398714""")
