



from __future__ import annotations

from PIL import Image

# Define glider example
__UpperCAmelCase			  =			[
    [0, 1, 0, 0, 0, 0, 0, 0],
    [0, 0, 1, 0, 0, 0, 0, 0],
    [1, 1, 1, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
]

# Define blinker example
__UpperCAmelCase			  =			[[0, 1, 0], [0, 1, 0], [0, 1, 0]]
def 						UpperCamelCase      (  snake_case__			:       Tuple      )      ->	list[list[int]]:
   UpperCamelCase       :    Tuple		      =      []
   for i in range(len(snake_case__      )      ):
      UpperCamelCase       :    Any		      =      []
      for j in range(len(cells[i]      )      ):
         # Get the number of live neighbours
         UpperCamelCase       :    List[Any]		      =      0
         if i > 0 and j > 0:
            neighbour_count += cells[i - 1][j - 1]
         if i > 0:
            neighbour_count += cells[i - 1][j]
         if i > 0 and j < len(cells[i]      ) - 1:
            neighbour_count += cells[i - 1][j + 1]
         if j > 0:
            neighbour_count += cells[i][j - 1]
         if j < len(cells[i]      ) - 1:
            neighbour_count += cells[i][j + 1]
         if i < len(snake_case__      ) - 1 and j > 0:
            neighbour_count += cells[i + 1][j - 1]
         if i < len(snake_case__      ) - 1:
            neighbour_count += cells[i + 1][j]
         if i < len(snake_case__      ) - 1 and j < len(cells[i]      ) - 1:
            neighbour_count += cells[i + 1][j + 1]

         # Rules of the game of life (excerpt from Wikipedia):
         # 1. Any live cell with two or three live neighbours survives.
         # 2. Any dead cell with three live neighbours becomes a live cell.
         # 3. All other live cells die in the next generation.
         #    Similarly, all other dead cells stay dead.
         UpperCamelCase       :    str		      =      cells[i][j] == 1
         if (
             (alive and 2 <= neighbour_count <= 3)
             or not alive
             and neighbour_count == 3
         ):
            next_generation_row.append(1      )
         else:
            next_generation_row.append(0      )

      next_generation.append(snake_case__      )
   return next_generation
def 						UpperCamelCase      (  snake_case__			:       List[str]			,	snake_case__			:       str      )      ->	list[Image.Image]:
   UpperCamelCase       :    Any		      =      []
   for _ in range(snake_case__      ):
      # Create output image
      UpperCamelCase       :    Any		      =      Image.new('RGB'			,	(len(cells[0]      ), len(snake_case__      ))      )
      UpperCamelCase       :    Dict		      =      img.load()

      # Save cells to image
      for x in range(len(snake_case__      )      ):
         for y in range(len(cells[0]      )      ):
            UpperCamelCase       :    Any		      =      255 - cells[y][x] * 255
            UpperCamelCase       :    Optional[Any]		      =      (colour, colour, colour)

        # Save image
      images.append(snake_case__      )
      UpperCamelCase       :    str		      =      new_generation(snake_case__      )
   return images


if __name__ == "__main__":
    __UpperCAmelCase			  =			generate_images(GLIDER, 16)
    images[0].save('''out.gif''', save_all=True, append_images=images[1:])





"""simple docstring"""






import os
import re
from shutil import copyfile
from typing import List, Optional, Tuple

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


_lowercase							=				logging.get_logger(__name__)

_lowercase							=				{
    '''vocab_file''': '''vocab.txt''',
    '''merges_file''': '''bpe.codes''',
}

_lowercase							=				{
    '''vocab_file''': {
        '''vinai/phobert-base''': '''https://huggingface.co/vinai/phobert-base/resolve/main/vocab.txt''',
        '''vinai/phobert-large''': '''https://huggingface.co/vinai/phobert-large/resolve/main/vocab.txt''',
    },
    '''merges_file''': {
        '''vinai/phobert-base''': '''https://huggingface.co/vinai/phobert-base/resolve/main/bpe.codes''',
        '''vinai/phobert-large''': '''https://huggingface.co/vinai/phobert-large/resolve/main/bpe.codes''',
    },
}

_lowercase							=				{
    '''vinai/phobert-base''': 256,
    '''vinai/phobert-large''': 256,
}



def      lowerCAmelCase__			(		__magic_name__      )						->Optional[int]:
			__lowercase       =       set()
			__lowercase       =       word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)      )
						__lowercase       =       char

			__lowercase       =       set(__magic_name__      )
			return pairs







class 					__a     ( __a       ):



							'''simple docstring'''







							_lowerCamelCase					:			int          =   VOCAB_FILES_NAMES
							_lowerCamelCase					:			List[str]          =   PRETRAINED_VOCAB_FILES_MAP
							_lowerCamelCase					:			Optional[Any]          =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							def __init__(     self  ,    _lowerCamelCase  ,    _lowerCamelCase  ,    _lowerCamelCase="<s>"  ,    _lowerCamelCase="</s>"  ,    _lowerCamelCase="</s>"  ,    _lowerCamelCase="<s>"  ,    _lowerCamelCase="<unk>"  ,    _lowerCamelCase="<pad>"  ,    _lowerCamelCase="<mask>"  ,    **_lowerCamelCase  ,    )			->							Tuple:




										'''simple docstring'''
										super().__init__(
										    bos_token=_lowerCamelCase  ,    eos_token=_lowerCamelCase  ,    unk_token=_lowerCamelCase  ,    sep_token=_lowerCamelCase  ,    cls_token=_lowerCamelCase  ,    pad_token=_lowerCamelCase  ,    mask_token=_lowerCamelCase  ,    **_lowerCamelCase  ,    )

										__lowercase       =       vocab_file
										__lowercase       =       merges_file

										__lowercase       =       {}
										__lowercase       =       0
										__lowercase       =       1
										__lowercase       =       2
										__lowercase       =       3

										self.add_from_file(_lowerCamelCase       )

										__lowercase       =       {v: k for k, v in self.encoder.items()}

										with open(_lowerCamelCase  ,    encoding="utf-8"       ) as merges_handle:
													__lowercase       =       merges_handle.read().split("\n"       )[:-1]
										__lowercase       =       [tuple(merge.split()[:-1]       ) for merge in merges]
										__lowercase       =       dict(zip(_lowerCamelCase  ,    range(len(_lowerCamelCase       )       )       )       )
										__lowercase       =       {}
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase  ,    _lowerCamelCase = None       )			->							List[int]:




										'''simple docstring'''

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




										'''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   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase  ,    _lowerCamelCase = None       )			->							List[int]:




										'''simple docstring'''
										__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]
							@property
							def   SCREAMING_SNAKE_CASE						(     self       )			->							Optional[Any]:




										'''simple docstring'''
										return len(self.encoder       )
							def   SCREAMING_SNAKE_CASE						(     self       )			->							str:




										'''simple docstring'''
										return dict(self.encoder  ,    **self.added_tokens_encoder       )
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							List[Any]:




										'''simple docstring'''
										if token in self.cache:
													return self.cache[token]
										__lowercase       =       tuple(_lowerCamelCase       )
										__lowercase       =       tuple(list(word[:-1]       ) + [word[-1] + "</w>"]       )
										__lowercase       =       get_pairs(_lowerCamelCase       )

										if not pairs:
													return token

										while True:
													__lowercase       =       min(_lowerCamelCase  ,    key=lambda _lowerCamelCase       : self.bpe_ranks.get(_lowerCamelCase  ,    float("inf"       )       )       )
													if bigram not in self.bpe_ranks:
																break
													__lowercase   ,					__lowercase       =       bigram
													__lowercase       =       []
													__lowercase       =       0
													while i < len(_lowerCamelCase       ):
																try:
																			__lowercase       =       word.index(_lowerCamelCase  ,    _lowerCamelCase       )
																except ValueError:
																			new_word.extend(word[i:]       )
																			break
																else:
																			new_word.extend(word[i:j]       )
																			__lowercase       =       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
													__lowercase       =       tuple(_lowerCamelCase       )
													__lowercase       =       new_word
													if len(_lowerCamelCase       ) == 1:
																break
													else:
																__lowercase       =       get_pairs(_lowerCamelCase       )
										__lowercase       =       "@@ ".join(_lowerCamelCase       )
										__lowercase       =       word[:-4]
										__lowercase       =       word
										return word
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							str:




										'''simple docstring'''
										__lowercase       =       []

										__lowercase       =       re.findall(R"\S+\n?"  ,    _lowerCamelCase       )

										for token in words:
													split_tokens.extend(list(self.bpe(_lowerCamelCase       ).split(" "       )       )       )
										return split_tokens
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							Optional[Any]:




										'''simple docstring'''
										return self.encoder.get(_lowerCamelCase  ,    self.encoder.get(self.unk_token       )       )
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							Optional[int]:




										'''simple docstring'''
										return self.decoder.get(_lowerCamelCase  ,    self.unk_token       )
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							Tuple:




										'''simple docstring'''
										__lowercase       =       " ".join(_lowerCamelCase       ).replace("@@ "  ,    ""       ).strip()
										return out_string
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase  ,    _lowerCamelCase = None       )			->							Tuple[str]:




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

										if os.path.abspath(self.vocab_file       ) != os.path.abspath(_lowerCamelCase       ):
													copyfile(self.vocab_file  ,    _lowerCamelCase       )

										if os.path.abspath(self.merges_file       ) != os.path.abspath(_lowerCamelCase       ):
													copyfile(self.merges_file  ,    _lowerCamelCase       )

										return out_vocab_file, out_merge_file





							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							Dict:




										'''simple docstring'''
										if isinstance(_lowerCamelCase  ,    _lowerCamelCase       ):
													try:
																with open(_lowerCamelCase  ,    "r"  ,    encoding="utf-8"       ) as fd:
																			self.add_from_file(_lowerCamelCase       )
													except FileNotFoundError as fnfe:
																raise fnfe
													except UnicodeError:
																raise Exception(f'''Incorrect encoding detected in {f}, please rebuild the dataset'''       )
													return

										__lowercase       =       f.readlines()
										for lineTmp in lines:
													__lowercase       =       lineTmp.strip()
													__lowercase       =       line.rfind(" "       )
													if idx == -1:
																raise ValueError("Incorrect dictionary format, expected '<token> <cnt>'"       )
													__lowercase       =       line[:idx]
													__lowercase       =       len(self.encoder       )





