



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

import regex as re

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


lowercase_						=			logging.get_logger(__name__)


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

# See all BART models at https://huggingface.co/models?filter=bart
lowercase_						=			{
    """vocab_file""": {
        """facebook/bart-base""": """https://huggingface.co/facebook/bart-base/resolve/main/vocab.json""",
        """facebook/bart-large""": """https://huggingface.co/facebook/bart-large/resolve/main/vocab.json""",
        """facebook/bart-large-mnli""": """https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json""",
        """facebook/bart-large-cnn""": """https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json""",
        """facebook/bart-large-xsum""": """https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json""",
        """yjernite/bart_eli5""": """https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json""",
    },
    """merges_file""": {
        """facebook/bart-base""": """https://huggingface.co/facebook/bart-base/resolve/main/merges.txt""",
        """facebook/bart-large""": """https://huggingface.co/facebook/bart-large/resolve/main/merges.txt""",
        """facebook/bart-large-mnli""": """https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt""",
        """facebook/bart-large-cnn""": """https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt""",
        """facebook/bart-large-xsum""": """https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt""",
        """yjernite/bart_eli5""": """https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt""",
    },
}

lowercase_						=			{
    """facebook/bart-base""": 1024,
    """facebook/bart-large""": 1024,
    """facebook/bart-large-mnli""": 1024,
    """facebook/bart-large-cnn""": 1024,
    """facebook/bart-large-xsum""": 1024,
    """yjernite/bart_eli5""": 1024,
}



@lru_cache()
def __lowerCAmelCase	(       ):
			lowercase__   					=			(
			    list(range(ord("!"					)  ,					ord("~"					) + 1					)					) + list(range(ord("¡"					)  ,					ord("¬"					) + 1					)					) + list(range(ord("®"					)  ,					ord("ÿ"					) + 1					)					)
			)
			lowercase__   					=			bs[:]
			lowercase__   					=			0
			for b in range(2**8					):
						if b not in bs:
									bs.append(SCREAMING_SNAKE_CASE_					)
									cs.append(2**8 + n					)
									n += 1
			lowercase__   					=			[chr(SCREAMING_SNAKE_CASE_					) for n in cs]
			return dict(zip(SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_					)					)



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_					):
			lowercase__   					=			set()
			lowercase__   					=			word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)					)
						lowercase__   					=			char
			return pairs




class 			_snake_case     (   lowercase__):
				UpperCamelCase__			:   int       						=VOCAB_FILES_NAMES
				UpperCamelCase__			:   List[Any]       						=PRETRAINED_VOCAB_FILES_MAP
				UpperCamelCase__			:   int       						=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				UpperCamelCase__			:   Union[str, Any]       						=["""input_ids""", """attention_mask"""]




				def __init__(  self   :  List[str],   __lowercase   :  Any,   __lowercase   :  Optional[int],   __lowercase   :  Optional[Any]="replace",   __lowercase   :  List[str]="<s>",   __lowercase   :  Optional[Any]="</s>",   __lowercase   :  Any="</s>",   __lowercase   :  List[str]="<s>",   __lowercase   :  Any="<unk>",   __lowercase   :  int="<pad>",   __lowercase   :  str="<mask>",   __lowercase   :  Any=False,   **__lowercase   :  Optional[Any],   ):
							lowercase__   					=			AddedToken(__lowercase,   lstrip=__lowercase,   rstrip=__lowercase  ) if isinstance(__lowercase,   __lowercase  ) else bos_token
							lowercase__   					=			AddedToken(__lowercase,   lstrip=__lowercase,   rstrip=__lowercase  ) if isinstance(__lowercase,   __lowercase  ) else eos_token
							lowercase__   					=			AddedToken(__lowercase,   lstrip=__lowercase,   rstrip=__lowercase  ) if isinstance(__lowercase,   __lowercase  ) else sep_token
							lowercase__   					=			AddedToken(__lowercase,   lstrip=__lowercase,   rstrip=__lowercase  ) if isinstance(__lowercase,   __lowercase  ) else cls_token
							lowercase__   					=			AddedToken(__lowercase,   lstrip=__lowercase,   rstrip=__lowercase  ) if isinstance(__lowercase,   __lowercase  ) else unk_token
							lowercase__   					=			AddedToken(__lowercase,   lstrip=__lowercase,   rstrip=__lowercase  ) if isinstance(__lowercase,   __lowercase  ) else pad_token

							# Mask token behave like a normal word, i.e. include the space before it
							lowercase__   					=			AddedToken(__lowercase,   lstrip=__lowercase,   rstrip=__lowercase  ) if isinstance(__lowercase,   __lowercase  ) else mask_token

							super().__init__(
							    errors=__lowercase,   bos_token=__lowercase,   eos_token=__lowercase,   unk_token=__lowercase,   sep_token=__lowercase,   cls_token=__lowercase,   pad_token=__lowercase,   mask_token=__lowercase,   add_prefix_space=__lowercase,   **__lowercase,   )

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

							# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
							lowercase__   					=			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   :  str  ):
							return len(self.encoder  )




				def 							A__ (  self   :  Optional[Any]  ):
							return dict(self.encoder,   **self.added_tokens_encoder  )




				def 							A__ (  self   :  Union[str, Any],   __lowercase   :  Union[str, Any]  ):
							if token in self.cache:
										return self.cache[token]
							lowercase__   					=			tuple(__lowercase  )
							lowercase__   					=			get_pairs(__lowercase  )

							if not pairs:
										return token

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

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




				def 							A__ (  self   :  Optional[Any],   __lowercase   :  Dict  ):
							lowercase__   					=			[]
							for token in re.findall(self.pat,   __lowercase  ):
										lowercase__   					=			"".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(__lowercase  ).split(" "  )  )
							return bpe_tokens




				def 							A__ (  self   :  int,   __lowercase   :  Union[str, Any]  ):
							return self.encoder.get(__lowercase,   self.encoder.get(self.unk_token  )  )




				def 							A__ (  self   :  str,   __lowercase   :  Dict  ):
							return self.decoder.get(__lowercase  )




				def 							A__ (  self   :  List[Any],   __lowercase   :  Optional[Any]  ):
							lowercase__   					=			"".join(__lowercase  )
							lowercase__   					=			bytearray([self.byte_decoder[c] for c in text]  ).decode("utf-8",   errors=self.errors  )
							return text




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

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

							lowercase__   					=			0
							with open(__lowercase,   "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 __lowercase  : 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!"  )
																lowercase__   					=			token_index
													writer.write(" ".join(__lowercase  ) + "\n"  )
													index += 1

							return vocab_file, merge_file




				def 							A__ (  self   :  Optional[int],   __lowercase   :  List[int],   __lowercase   :  Optional[List[int]] = None  ):
							if token_ids_a is None:
										return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
							lowercase__   					=			[self.cls_token_id]
							lowercase__   					=			[self.sep_token_id]
							return cls + token_ids_a + sep + sep + token_ids_a + sep




				def 							A__ (  self   :  Dict,   __lowercase   :  List[int],   __lowercase   :  Optional[List[int]] = None,   __lowercase   :  bool = False  ):
							if already_has_special_tokens:
										return super().get_special_tokens_mask(
										    token_ids_a=__lowercase,   token_ids_a=__lowercase,   already_has_special_tokens=__lowercase  )

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




				def 							A__ (  self   :  List[str],   __lowercase   :  List[int],   __lowercase   :  Optional[List[int]] = None  ):
							lowercase__   					=			[self.sep_token_id]
							lowercase__   					=			[self.cls_token_id]

							if token_ids_a is None:
										return len(cls + token_ids_a + sep  ) * [0]
							return len(cls + token_ids_a + sep + sep + token_ids_a + sep  ) * [0]




				def 							A__ (  self   :  Optional[Any],   __lowercase   :  int,   __lowercase   :  List[str]=False,   **__lowercase   :  Union[str, Any]  ):
							lowercase__   					=			kwargs.pop("add_prefix_space",   self.add_prefix_space  )
							if (is_split_into_words or add_prefix_space) and (len(__lowercase  ) > 0 and not text[0].isspace()):
										lowercase__   					=			" " + text
							return (text, kwargs)









from __future__ import annotations

from typing import TypedDict
class 			_snake_case     (   lowercase__):
				UpperCamelCase__			:   str
				UpperCamelCase__			:   int



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_					):
			if not isinstance(SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_					):
						raise TypeError("The parameter s type must be str."					)

			return [s[i:] + s[:i] for i in range(len(SCREAMING_SNAKE_CASE_					)					)]



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_					):
			if not isinstance(SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_					):
						raise TypeError("The parameter s type must be str."					)
			if not s:
						raise ValueError("The parameter s must not be empty."					)

			lowercase__   					=			all_rotations(SCREAMING_SNAKE_CASE_					)
			rotations.sort()  # sort the list of rotations in alphabetically order
			# make a string composed of the last char of each rotation
			lowercase__   					=			{
			    "bwt_string": "".join([word[-1] for word in rotations]					),
			    "idx_original_string": rotations.index(SCREAMING_SNAKE_CASE_					),
			}
			return response



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_					):
			if not isinstance(SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_					):
						raise TypeError("The parameter bwt_string type must be str."					)
			if not bwt_string:
						raise ValueError("The parameter bwt_string must not be empty."					)
			try:
						lowercase__   					=			int(SCREAMING_SNAKE_CASE_					)
			except ValueError:
						raise TypeError(
						    "The parameter idx_original_string type must be int or passive"
						    " of cast to int."					)
			if idx_original_string < 0:
						raise ValueError("The parameter idx_original_string must not be lower than 0."					)
			if idx_original_string >= len(SCREAMING_SNAKE_CASE_					):
						raise ValueError(
						    "The parameter idx_original_string must be lower than" " len(bwt_string)."					)

			lowercase__   					=			[""] * len(SCREAMING_SNAKE_CASE_					)
			for _ in range(len(SCREAMING_SNAKE_CASE_					)					):
						for i in range(len(SCREAMING_SNAKE_CASE_					)					):
									lowercase__   					=			bwt_string[i] + ordered_rotations[i]
						ordered_rotations.sort()
			return ordered_rotations[idx_original_string]


if __name__ == "__main__":
							lowercase_						=       """Provide a string that I will generate its BWT transform: """
							lowercase_						=       input(entry_msg).strip()
							lowercase_						=       bwt_transform(s)
							print(
							    F'Burrows Wheeler transform for string \'{s}\' results '
							    F'in \'{result["bwt_string"]}\''
							)
							lowercase_						=       reverse_bwt(result["""bwt_string"""], result["""idx_original_string"""])
							print(
							    F'Reversing Burrows Wheeler transform for entry \'{result["bwt_string"]}\' '
							    F'we get original string \'{original_string}\''
							)




