




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


SCREAMING_SNAKE_CASE__     :     Any		    =       logging.get_logger(__name__)


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

# See all BART models at https://huggingface.co/models?filter=bart
SCREAMING_SNAKE_CASE__     :     str		    =       {
    "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",
    },
}

SCREAMING_SNAKE_CASE__     :     List[Any]		    =       {
    "facebook/bart-base": 10_24,
    "facebook/bart-large": 10_24,
    "facebook/bart-large-mnli": 10_24,
    "facebook/bart-large-cnn": 10_24,
    "facebook/bart-large-xsum": 10_24,
    "yjernite/bart_eli5": 10_24,
}

@lru_cache()
def lowercase    (  )			->							List[str]:


			'''simple docstring'''







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

def lowercase    (  SCREAMING_SNAKE_CASE )			->							List[str]:


			'''simple docstring'''







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



class       a_       (     SCREAMING_SNAKE_CASE__     ):
	A    							= VOCAB_FILES_NAMES
	A    							= PRETRAINED_VOCAB_FILES_MAP
	A    							= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	A    							= ['''input_ids''', '''attention_mask''']





	def __init__(							self      ,     SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE="replace"      ,     SCREAMING_SNAKE_CASE="<s>"      ,     SCREAMING_SNAKE_CASE="</s>"      ,     SCREAMING_SNAKE_CASE="</s>"      ,     SCREAMING_SNAKE_CASE="<s>"      ,     SCREAMING_SNAKE_CASE="<unk>"      ,     SCREAMING_SNAKE_CASE="<pad>"      ,     SCREAMING_SNAKE_CASE="<mask>"      ,     SCREAMING_SNAKE_CASE=False      ,     **SCREAMING_SNAKE_CASE      ,     )  ->					List[str]:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						AddedToken(SCREAMING_SNAKE_CASE      ,     lstrip=SCREAMING_SNAKE_CASE      ,     rstrip=SCREAMING_SNAKE_CASE      ) if isinstance(SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      ) else bos_token
				SCREAMING_SNAKE_CASE_								=						AddedToken(SCREAMING_SNAKE_CASE      ,     lstrip=SCREAMING_SNAKE_CASE      ,     rstrip=SCREAMING_SNAKE_CASE      ) if isinstance(SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      ) else eos_token
				SCREAMING_SNAKE_CASE_								=						AddedToken(SCREAMING_SNAKE_CASE      ,     lstrip=SCREAMING_SNAKE_CASE      ,     rstrip=SCREAMING_SNAKE_CASE      ) if isinstance(SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      ) else sep_token
				SCREAMING_SNAKE_CASE_								=						AddedToken(SCREAMING_SNAKE_CASE      ,     lstrip=SCREAMING_SNAKE_CASE      ,     rstrip=SCREAMING_SNAKE_CASE      ) if isinstance(SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      ) else cls_token
				SCREAMING_SNAKE_CASE_								=						AddedToken(SCREAMING_SNAKE_CASE      ,     lstrip=SCREAMING_SNAKE_CASE      ,     rstrip=SCREAMING_SNAKE_CASE      ) if isinstance(SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      ) else unk_token
				SCREAMING_SNAKE_CASE_								=						AddedToken(SCREAMING_SNAKE_CASE      ,     lstrip=SCREAMING_SNAKE_CASE      ,     rstrip=SCREAMING_SNAKE_CASE      ) if isinstance(SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      ) else pad_token

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

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

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

				# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
				SCREAMING_SNAKE_CASE_								=						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[Any]:




				"""simple docstring"""



				return len(self.encoder      )





	def 						A_(							self      )  ->					Any:




				"""simple docstring"""



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





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					Optional[Any]:




				"""simple docstring"""



				if token in self.cache:
							return self.cache[token]
				SCREAMING_SNAKE_CASE_								=						tuple(SCREAMING_SNAKE_CASE      )
				SCREAMING_SNAKE_CASE_								=						get_pairs(SCREAMING_SNAKE_CASE      )

				if not pairs:
							return token

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

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





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					Any:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						[]
				for token in re.findall(self.pat      ,     SCREAMING_SNAKE_CASE      ):
							SCREAMING_SNAKE_CASE_								=						''.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(SCREAMING_SNAKE_CASE      ).split(' '      )      )
				return bpe_tokens





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					Optional[int]:




				"""simple docstring"""



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





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					Optional[Any]:




				"""simple docstring"""



				return self.decoder.get(SCREAMING_SNAKE_CASE      )





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					Optional[Any]:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						''.join(SCREAMING_SNAKE_CASE      )
				SCREAMING_SNAKE_CASE_								=						bytearray([self.byte_decoder[c] for c in text]      ).decode('utf-8'      ,     errors=self.errors      )
				return text





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE = None      )  ->					Tuple[str]:




				"""simple docstring"""



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

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

				SCREAMING_SNAKE_CASE_								=						0
				with open(SCREAMING_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 SCREAMING_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!'      )
													SCREAMING_SNAKE_CASE_								=						token_index
										writer.write(' '.join(SCREAMING_SNAKE_CASE      ) + '\n'      )
										index += 1

				return vocab_file, merge_file





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE = None      )  ->					List[int]:




				"""simple docstring"""



				if token_ids_a is None:
							return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
				SCREAMING_SNAKE_CASE_								=						[self.cls_token_id]
				SCREAMING_SNAKE_CASE_								=						[self.sep_token_id]
				return cls + token_ids_a + sep + sep + token_ids_a + sep





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE = None      ,     SCREAMING_SNAKE_CASE = False      )  ->					List[int]:




				"""simple docstring"""



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

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





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE = None      )  ->					List[int]:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						[self.sep_token_id]
				SCREAMING_SNAKE_CASE_								=						[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      ,     SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE=False      ,     **SCREAMING_SNAKE_CASE      )  ->					Tuple:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						kwargs.pop('add_prefix_space'      ,     self.add_prefix_space      )
				if (is_split_into_words or add_prefix_space) and (len(SCREAMING_SNAKE_CASE      ) > 0 and not text[0].isspace()):
							SCREAMING_SNAKE_CASE_								=						' ' + text
				return (text, kwargs)






def lowercase    (  SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE )			->							Dict:


			'''simple docstring'''







			if index == r:
						for j in range(SCREAMING_SNAKE_CASE ):
									print(data[j]       ,    end=' ' )
						print(' ' )
						return
			#  When no more elements are there to put in data[]
			if i >= n:
						return
			# current is included, put next at next location
			SCREAMING_SNAKE_CASE_								=						arr[i]
			combination_util(SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    index + 1       ,    SCREAMING_SNAKE_CASE       ,    i + 1 )
			# current is excluded, replace it with
			# next (Note that i+1 is passed, but
			# index is not changed)
			combination_util(SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    i + 1 )
			# The main function that prints all combinations
			# of size r in arr[] of size n. This function
			# mainly uses combinationUtil()

def lowercase    (  SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE )			->							Any:


			'''simple docstring'''







			SCREAMING_SNAKE_CASE_								=						[0] * r
			# Print all combination using temporary array 'data[]'
			combination_util(SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    0       ,    SCREAMING_SNAKE_CASE       ,    0 )


if __name__ == "__main__":
				# Driver code to check the function above
				SCREAMING_SNAKE_CASE__     :     Dict		    =       [10, 20, 30, 40, 50]
				print_combination(arr, len(arr), 3)
				# This code is contributed by Ambuj sahu
