





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


lowerCAmelCase							:       List[Any]					 =	logging.get_logger(__name__)


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

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

lowerCAmelCase							:       int					 =	{
    """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  (	)      ->    Any:

						"""simple docstring"""





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






def 		lowerCAmelCase  (	UpperCamelCase__   :   Any					)      ->    int:

						"""simple docstring"""





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





class 				a			(      __lowercase			):
				SCREAMING_SNAKE_CASE__     :   Union[str, Any]		      =     VOCAB_FILES_NAMES
				SCREAMING_SNAKE_CASE__     :   Tuple		      =     PRETRAINED_VOCAB_FILES_MAP
				SCREAMING_SNAKE_CASE__     :   Tuple		      =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				SCREAMING_SNAKE_CASE__     :   int		      =     ['''input_ids''', '''attention_mask''']






				def __init__(  self			, _lowerCAmelCase			, _lowerCAmelCase			, _lowerCAmelCase="replace"			, _lowerCAmelCase="<s>"			, _lowerCAmelCase="</s>"			, _lowerCAmelCase="</s>"			, _lowerCAmelCase="<s>"			, _lowerCAmelCase="<unk>"			, _lowerCAmelCase="<pad>"			, _lowerCAmelCase="<mask>"			, _lowerCAmelCase=False			, **_lowerCAmelCase			, ):

										"""simple docstring"""




										__SCREAMING_SNAKE_CASE:				List[Any]           =   AddedToken(_lowerCAmelCase			, lstrip=_lowerCAmelCase			, rstrip=_lowerCAmelCase					) if isinstance(_lowerCAmelCase			, _lowerCAmelCase					) else bos_token
										__SCREAMING_SNAKE_CASE:				Tuple           =   AddedToken(_lowerCAmelCase			, lstrip=_lowerCAmelCase			, rstrip=_lowerCAmelCase					) if isinstance(_lowerCAmelCase			, _lowerCAmelCase					) else eos_token
										__SCREAMING_SNAKE_CASE:				List[Any]           =   AddedToken(_lowerCAmelCase			, lstrip=_lowerCAmelCase			, rstrip=_lowerCAmelCase					) if isinstance(_lowerCAmelCase			, _lowerCAmelCase					) else sep_token
										__SCREAMING_SNAKE_CASE:				Optional[int]           =   AddedToken(_lowerCAmelCase			, lstrip=_lowerCAmelCase			, rstrip=_lowerCAmelCase					) if isinstance(_lowerCAmelCase			, _lowerCAmelCase					) else cls_token
										__SCREAMING_SNAKE_CASE:				Dict           =   AddedToken(_lowerCAmelCase			, lstrip=_lowerCAmelCase			, rstrip=_lowerCAmelCase					) if isinstance(_lowerCAmelCase			, _lowerCAmelCase					) else unk_token
										__SCREAMING_SNAKE_CASE:				Optional[Any]           =   AddedToken(_lowerCAmelCase			, lstrip=_lowerCAmelCase			, rstrip=_lowerCAmelCase					) if isinstance(_lowerCAmelCase			, _lowerCAmelCase					) else pad_token

										# Mask token behave like a normal word, i.e. include the space before it
										__SCREAMING_SNAKE_CASE:				Optional[int]           =   AddedToken(_lowerCAmelCase			, lstrip=_lowerCAmelCase			, rstrip=_lowerCAmelCase					) if isinstance(_lowerCAmelCase			, _lowerCAmelCase					) else mask_token

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

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

										# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
										__SCREAMING_SNAKE_CASE:				Optional[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 			snake_case_    (  self					):

										"""simple docstring"""




										return len(self.encoder					)






				def 			snake_case_    (  self					):

										"""simple docstring"""




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






				def 			snake_case_    (  self			, _lowerCAmelCase					):

										"""simple docstring"""




										if token in self.cache:
																return self.cache[token]
										__SCREAMING_SNAKE_CASE:				Tuple           =   tuple(_lowerCAmelCase					)
										__SCREAMING_SNAKE_CASE:				Optional[Any]           =   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:				Optional[Any]           =   bigram
																__SCREAMING_SNAKE_CASE:				Union[str, Any]           =   []
																__SCREAMING_SNAKE_CASE:				str           =   0
																while i < len(_lowerCAmelCase					):
																						try:
																												__SCREAMING_SNAKE_CASE:				Union[str, 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:				Any           =   tuple(_lowerCAmelCase					)
																__SCREAMING_SNAKE_CASE:				Any           =   new_word
																if len(_lowerCAmelCase					) == 1:
																						break
																else:
																						__SCREAMING_SNAKE_CASE:				List[str]           =   get_pairs(_lowerCAmelCase					)
										__SCREAMING_SNAKE_CASE:				str           =   ''' '''.join(_lowerCAmelCase					)
										__SCREAMING_SNAKE_CASE:				Optional[Any]           =   word
										return word






				def 			snake_case_    (  self			, _lowerCAmelCase					):

										"""simple docstring"""




										__SCREAMING_SNAKE_CASE:				Tuple           =   []
										for token in re.findall(self.pat			, _lowerCAmelCase					):
																__SCREAMING_SNAKE_CASE:				Optional[int]           =   ''''''.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 			snake_case_    (  self			, _lowerCAmelCase					):

										"""simple docstring"""




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






				def 			snake_case_    (  self			, _lowerCAmelCase					):

										"""simple docstring"""




										return self.decoder.get(_lowerCAmelCase					)






				def 			snake_case_    (  self			, _lowerCAmelCase					):

										"""simple docstring"""




										__SCREAMING_SNAKE_CASE:				Optional[Any]           =   ''''''.join(_lowerCAmelCase					)
										__SCREAMING_SNAKE_CASE:				List[Any]           =   bytearray([self.byte_decoder[c] for c in text]					).decode('''utf-8'''			, errors=self.errors					)
										return text






				def 			snake_case_    (  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:				str           =   os.path.join(
										    _lowerCAmelCase			, (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']					)
										__SCREAMING_SNAKE_CASE:				List[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:				Optional[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!'''					)
																												__SCREAMING_SNAKE_CASE:				List[str]           =   token_index
																						writer.write(''' '''.join(_lowerCAmelCase					) + '''\n'''					)
																						index += 1

										return vocab_file, merge_file






				def 			snake_case_    (  self			, _lowerCAmelCase			, _lowerCAmelCase = None					):

										"""simple docstring"""




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






				def 			snake_case_    (  self			, _lowerCAmelCase			, _lowerCAmelCase = None			, _lowerCAmelCase = False					):

										"""simple docstring"""




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






				def 			snake_case_    (  self			, _lowerCAmelCase			, _lowerCAmelCase = None					):

										"""simple docstring"""




										__SCREAMING_SNAKE_CASE:				Dict           =   [self.sep_token_id]
										__SCREAMING_SNAKE_CASE:				Union[str, Any]           =   [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 			snake_case_    (  self			, _lowerCAmelCase			, _lowerCAmelCase=False			, **_lowerCAmelCase					):

										"""simple docstring"""




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










from __future__ import annotations






def 		lowerCAmelCase  (	UpperCamelCase__   :   list[int]       ,			UpperCamelCase__   :   list[int]       ,			UpperCamelCase__   :   list[int]       ,			UpperCamelCase__   :   list[list[str]]       ,			UpperCamelCase__   :   int       ,			)      ->    None:

						"""simple docstring"""





						__SCREAMING_SNAKE_CASE:				Any           =   len(UpperCamelCase__					)

						# If row is equal to the size of the board it means there are a queen in each row in
						# the current board (possible_board)
						if row == n:
												# We convert the variable possible_board that looks like this: [1, 3, 0, 2] to
												# this: ['. Q . . ', '. . . Q ', 'Q . . . ', '. . Q . ']
												boards.append(['''. ''' * i + '''Q ''' + '''. ''' * (n - 1 - i) for i in possible_board]					)
												return

						# We iterate each column in the row to find all possible results in each row
						for col in range(UpperCamelCase__					):
												# We apply that we learned previously. First we check that in the current board
												# (possible_board) there are not other same value because if there is it means
												# that there are a collision in vertical. Then we apply the two formulas we
												# learned before:
												#
												# 45º: y - x = b or 45: row - col = b
												# 135º: y + x = b or row + col = b.
												#
												# And we verify if the results of this two formulas not exist in their variables
												# respectively.  (diagonal_right_collisions, diagonal_left_collisions)
												#
												# If any or these are True it means there is a collision so we continue to the
												# next value in the for loop.
												if (
												    col in possible_board
												    or row - col in diagonal_right_collisions
												    or row + col in diagonal_left_collisions
												):
																		continue

												# If it is False we call dfs function again and we update the inputs
												depth_first_search(
												    [*possible_board, col]       ,			[*diagonal_right_collisions, row - col]       ,			[*diagonal_left_collisions, row + col]       ,			UpperCamelCase__       ,			UpperCamelCase__       ,			)






def 		lowerCAmelCase  (	UpperCamelCase__   :   int					)      ->    None:

						"""simple docstring"""





						__SCREAMING_SNAKE_CASE:				list[list[str]]           =   []
						depth_first_search([]       ,			[]       ,			[]       ,			UpperCamelCase__       ,			UpperCamelCase__					)

						# Print all the boards
						for board in boards:
												for column in board:
																		print(UpperCamelCase__					)
												print(''''''					)

						print(len(UpperCamelCase__					)       ,			'''solutions were found.'''					)


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							n_queens_solution(4)



