
import json
import os
from typing import Optional, Tuple

import regex as re

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


lowerCamelCase__          =		logging.get_logger(__name__)

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

lowerCamelCase__          =		{
    """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"""},
}

lowerCamelCase__          =		{
    """ctrl""": 256,
}

lowerCamelCase__          =		{
    """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__			(  SCREAMING_SNAKE_CASE_     )				->		Optional[Any]:
			lowerCAmelCase__      :      List[Any]         =		set()
			lowerCAmelCase__      :      Optional[Any]         =		word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)     )
						lowerCAmelCase__      :      Optional[Any]         =		char

			lowerCAmelCase__      :      int         =		set(SCREAMING_SNAKE_CASE_     )
			return pairs







class      A__							(     __magic_name__	):
				lowercase			    =  VOCAB_FILES_NAMES
				lowercase			    =  PRETRAINED_VOCAB_FILES_MAP
				lowercase			    =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				lowercase			    =  CONTROL_CODES






				def __init__(						self					:      str    ,     a					:      List[Any]    ,     a					:      Dict    ,     a					:      List[Any]="<unk>"    ,     **a					:      Union[str, Any]   ):






							'''simple docstring'''







							super().__init__(unk_token=a    ,     **a   )

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






				@property
				def 							_lowerCamelCase		(						self					:      str   ):






							'''simple docstring'''







							return len(self.encoder   )






				def 							_lowerCamelCase		(						self					:      Union[str, Any]   ):






							'''simple docstring'''







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






				def 							_lowerCamelCase		(						self					:      Any    ,     a					:      Dict   ):






							'''simple docstring'''







							if token in self.cache:
										return self.cache[token]
							lowerCAmelCase__      :      Any         =		tuple(a   )
							lowerCAmelCase__      :      Union[str, Any]         =		tuple(list(word[:-1]   ) + [word[-1] + '</w>']   )
							lowerCAmelCase__      :      Dict         =		get_pairs(a   )

							if not pairs:
										return token

							while True:
										lowerCAmelCase__      :      Optional[int]         =		min(a    ,     key=lambda a   : self.bpe_ranks.get(a    ,     float('inf'   )   )   )
										if bigram not in self.bpe_ranks:
													break
										lowerCAmelCase__      ,				lowerCAmelCase__      :      Optional[Any]         =		bigram
										lowerCAmelCase__      :      Dict         =		[]
										lowerCAmelCase__      :      str         =		0
										while i < len(a   ):
													try:
																lowerCAmelCase__      :      List[str]         =		word.index(a    ,     a   )
													except ValueError:
																new_word.extend(word[i:]   )
																break
													else:
																new_word.extend(word[i:j]   )
																lowerCAmelCase__      :      int         =		j

													if word[i] == first and i < len(a   ) - 1 and word[i + 1] == second:
																new_word.append(first + second   )
																i += 2
													else:
																new_word.append(word[i]   )
																i += 1
										lowerCAmelCase__      :      int         =		tuple(a   )
										lowerCAmelCase__      :      str         =		new_word
										if len(a   ) == 1:
													break
										else:
													lowerCAmelCase__      :      Dict         =		get_pairs(a   )
							lowerCAmelCase__      :      int         =		'@@ '.join(a   )
							lowerCAmelCase__      :      List[Any]         =		word[:-4]
							lowerCAmelCase__      :      Union[str, Any]         =		word
							return word






				def 							_lowerCamelCase		(						self					:      Any    ,     a					:      Optional[int]   ):






							'''simple docstring'''







							lowerCAmelCase__      :      int         =		[]

							lowerCAmelCase__      :      str         =		re.findall(R'\S+\n?'    ,     a   )

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






				def 							_lowerCamelCase		(						self					:      int    ,     a					:      Optional[int]   ):






							'''simple docstring'''







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






				def 							_lowerCamelCase		(						self					:      List[Any]    ,     a					:      Union[str, Any]   ):






							'''simple docstring'''







							return self.decoder.get(a    ,     self.unk_token   )






				def 							_lowerCamelCase		(						self					:      List[str]    ,     a					:      Any   ):






							'''simple docstring'''







							lowerCAmelCase__      :      List[Any]         =		' '.join(a   ).replace('@@ '    ,     ''   ).strip()
							return out_string






				def 							_lowerCamelCase		(						self					:      int    ,     a					:      str    ,     a					:      Optional[str] = None   ):






							'''simple docstring'''







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

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

							lowerCAmelCase__      :      Optional[int]         =		0
							with open(a    ,     '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 a   : 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__      :      str         =		token_index
													writer.write(' '.join(a   ) + '\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)

from __future__ import annotations

lowerCamelCase__          =		list[list[int]]

# assigning initial values to the grid
lowerCamelCase__          =		[
    [3, 0, 6, 5, 0, 8, 4, 0, 0],
    [5, 2, 0, 0, 0, 0, 0, 0, 0],
    [0, 8, 7, 0, 0, 0, 0, 3, 1],
    [0, 0, 3, 0, 1, 0, 0, 8, 0],
    [9, 0, 0, 8, 6, 3, 0, 0, 5],
    [0, 5, 0, 0, 9, 0, 6, 0, 0],
    [1, 3, 0, 0, 0, 0, 2, 5, 0],
    [0, 0, 0, 0, 0, 0, 0, 7, 4],
    [0, 0, 5, 2, 0, 6, 3, 0, 0],
]

# a grid with no solution
lowerCamelCase__          =		[
    [5, 0, 6, 5, 0, 8, 4, 0, 3],
    [5, 2, 0, 0, 0, 0, 0, 0, 2],
    [1, 8, 7, 0, 0, 0, 0, 3, 1],
    [0, 0, 3, 0, 1, 0, 0, 8, 0],
    [9, 0, 0, 8, 6, 3, 0, 0, 5],
    [0, 5, 0, 0, 9, 0, 6, 0, 0],
    [1, 3, 0, 0, 0, 0, 2, 5, 0],
    [0, 0, 0, 0, 0, 0, 0, 7, 4],
    [0, 0, 5, 2, 0, 6, 3, 0, 0],
]
def  lowerCAmelCase__			(  SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_     )				->		bool:
			for i in range(9     ):
						if grid[row][i] == n or grid[i][column] == n:
									return False

			for i in range(3     ):
						for j in range(3     ):
									if grid[(row - row % 3) + i][(column - column % 3) + j] == n:
												return False

			return True
def  lowerCAmelCase__			(  SCREAMING_SNAKE_CASE_     )				->		tuple[int, int] | None:
			for i in range(9     ):
						for j in range(9     ):
									if grid[i][j] == 0:
												return i, j
			return None
def  lowerCAmelCase__			(  SCREAMING_SNAKE_CASE_     )				->		Matrix | None:
			if location := find_empty_location(SCREAMING_SNAKE_CASE_     ):
						lowerCAmelCase__      ,				lowerCAmelCase__      :      Any         =		location
			else:
						# If the location is ``None``, then the grid is solved.
						return grid

			for digit in range(1       ,							10     ):
						if is_safe(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_     ):
									lowerCAmelCase__      :      Optional[Any]         =		digit

									if sudoku(SCREAMING_SNAKE_CASE_     ) is not None:
												return grid

									lowerCAmelCase__      :      List[Any]         =		0

			return None
def  lowerCAmelCase__			(  SCREAMING_SNAKE_CASE_     )				->		None:
			for row in grid:
						for cell in row:
									print(SCREAMING_SNAKE_CASE_       ,							end=' '     )
						print()


if __name__ == "__main__":
					# make a copy of grid so that you can compare with the unmodified grid
					for example_grid in (initial_grid, no_solution):
										print("""\nExample grid:\n""" + """=""" * 20)
										print_solution(example_grid)
										print("""\nExample grid solution:""")
										lowerCamelCase__          =		sudoku(example_grid)
										if solution is not None:
															print_solution(solution)
										else:
															print("""Cannot find a solution.""")