


import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

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


lowerCAmelCase__  :Dict             =							logging.get_logger(__name__)

lowerCAmelCase__  :str             =							{'''vocab_file''': '''spm_char.model'''}

lowerCAmelCase__  :Dict             =							{
    '''vocab_file''': {
        '''microsoft/speecht5_asr''': '''https://huggingface.co/microsoft/speecht5_asr/resolve/main/spm_char.model''',
        '''microsoft/speecht5_tts''': '''https://huggingface.co/microsoft/speecht5_tts/resolve/main/spm_char.model''',
        '''microsoft/speecht5_vc''': '''https://huggingface.co/microsoft/speecht5_vc/resolve/main/spm_char.model''',
    }
}

lowerCAmelCase__  :Tuple             =							{
    '''microsoft/speecht5_asr''': 1_0_2_4,
    '''microsoft/speecht5_tts''': 1_0_2_4,
    '''microsoft/speecht5_vc''': 1_0_2_4,
}

class 		__a				(    UpperCAmelCase      ):
		_a     :  str           =     VOCAB_FILES_NAMES
		_a     :  List[Any]           =     PRETRAINED_VOCAB_FILES_MAP
		_a     :  Optional[Any]           =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		_a     :  int           =     ['input_ids', 'attention_mask']
		def __init__(      self      ,   _SCREAMING_SNAKE_CASE      ,   _SCREAMING_SNAKE_CASE="<s>"      ,   _SCREAMING_SNAKE_CASE="</s>"      ,   _SCREAMING_SNAKE_CASE="<unk>"      ,   _SCREAMING_SNAKE_CASE="<pad>"      ,   _SCREAMING_SNAKE_CASE = None      ,   **_SCREAMING_SNAKE_CASE      ,   )			->	None:




									"""simple docstring"""





									_UpperCAmelCase					=      {} if sp_model_kwargs is None else sp_model_kwargs

									super().__init__(
									    bos_token=_SCREAMING_SNAKE_CASE      ,   eos_token=_SCREAMING_SNAKE_CASE      ,   unk_token=_SCREAMING_SNAKE_CASE      ,   pad_token=_SCREAMING_SNAKE_CASE      ,   sp_model_kwargs=self.sp_model_kwargs      ,   **_SCREAMING_SNAKE_CASE      ,   )

									_UpperCAmelCase					=      vocab_file

									_UpperCAmelCase					=      spm.SentencePieceProcessor(**self.sp_model_kwargs						)
									self.sp_model.Load(_SCREAMING_SNAKE_CASE						)
		@property
		def      UpperCAmelCase__    (      self						)			->	Tuple:




									"""simple docstring"""





									return self.sp_model.get_piece_size()
		def      UpperCAmelCase__    (      self						)			->	Union[str, Any]:




									"""simple docstring"""





									_UpperCAmelCase					=      {self.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE						): i for i in range(self.vocab_size						)}
									vocab.update(self.added_tokens_encoder						)
									return vocab
		def __getstate__(      self						)			->	List[Any]:




									"""simple docstring"""





									_UpperCAmelCase					=      self.__dict__.copy()
									_UpperCAmelCase					=      None
									return state
		def __setstate__(      self      ,   _SCREAMING_SNAKE_CASE						)			->	Any:




									"""simple docstring"""





									_UpperCAmelCase					=      d

									# for backward compatibility
									if not hasattr(self      ,   'sp_model_kwargs'						):
																_UpperCAmelCase					=      {}

									_UpperCAmelCase					=      spm.SentencePieceProcessor(**self.sp_model_kwargs						)
									self.sp_model.Load(self.vocab_file						)
		def      UpperCAmelCase__    (      self      ,   _SCREAMING_SNAKE_CASE						)			->	List[str]:




									"""simple docstring"""





									return self.sp_model.encode(_SCREAMING_SNAKE_CASE      ,   out_type=_SCREAMING_SNAKE_CASE						)
		def      UpperCAmelCase__    (      self      ,   _SCREAMING_SNAKE_CASE						)			->	str:




									"""simple docstring"""





									return self.sp_model.piece_to_id(_SCREAMING_SNAKE_CASE						)
		def      UpperCAmelCase__    (      self      ,   _SCREAMING_SNAKE_CASE						)			->	List[Any]:




									"""simple docstring"""





									_UpperCAmelCase					=      self.sp_model.IdToPiece(_SCREAMING_SNAKE_CASE						)
									return token
		def      UpperCAmelCase__    (      self      ,   _SCREAMING_SNAKE_CASE						)			->	Tuple:




									"""simple docstring"""





									_UpperCAmelCase					=      []
									_UpperCAmelCase					=      ''
									for token in tokens:
																# make sure that special tokens are not decoded using sentencepiece model
																if token in self.all_special_tokens:
																							out_string += self.sp_model.decode(_SCREAMING_SNAKE_CASE						) + token
																							_UpperCAmelCase					=      []
																else:
																							current_sub_tokens.append(_SCREAMING_SNAKE_CASE						)
									out_string += self.sp_model.decode(_SCREAMING_SNAKE_CASE						)
									return out_string.strip()
		def      UpperCAmelCase__    (      self      ,   _SCREAMING_SNAKE_CASE      ,   _SCREAMING_SNAKE_CASE=None						)			->	List[int]:




									"""simple docstring"""





									if token_ids_a is None:
																return token_ids_a + [self.eos_token_id]
									# We don't expect to process pairs, but leave the pair logic for API consistency
									return token_ids_a + token_ids_a + [self.eos_token_id]
		def      UpperCAmelCase__    (      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						)

									_UpperCAmelCase					=      [1]
									if token_ids_a is None:
																return ([0] * len(_SCREAMING_SNAKE_CASE						)) + suffix_ones
									return ([0] * len(_SCREAMING_SNAKE_CASE						)) + ([0] * len(_SCREAMING_SNAKE_CASE						)) + suffix_ones






		def      UpperCAmelCase__    (      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
									_UpperCAmelCase					=      os.path.join(
									    _SCREAMING_SNAKE_CASE      ,   (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']						)

									if os.path.abspath(self.vocab_file						) != os.path.abspath(_SCREAMING_SNAKE_CASE						) and os.path.isfile(self.vocab_file						):
																copyfile(self.vocab_file      ,   _SCREAMING_SNAKE_CASE						)
									elif not os.path.isfile(self.vocab_file						):
																with open(_SCREAMING_SNAKE_CASE      ,   'wb'						) as fi:
																							_UpperCAmelCase					=      self.sp_model.serialized_model_proto()
																							fi.write(_SCREAMING_SNAKE_CASE						)

									return (out_vocab_file,)




from __future__ import annotations

from PIL import Image

# Define glider example
lowerCAmelCase__  :str             =							[
    [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
lowerCAmelCase__  :Any             =							[[0, 1, 0], [0, 1, 0], [0, 1, 0]]

def 	lowerCAmelCase__			(      a__:		list[list[int]]	)  ->		list[list[int]]:


							'''simple docstring'''





							_UpperCAmelCase					=      []
							for i in range(len(a__	)	):
														_UpperCAmelCase					=      []
														for j in range(len(cells[i]	)	):
																					# Get the number of live neighbours
																					_UpperCAmelCase					=      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(a__	) - 1 and j > 0:
																												neighbour_count += cells[i + 1][j - 1]
																					if i < len(a__	) - 1:
																												neighbour_count += cells[i + 1][j]
																					if i < len(a__	) - 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					=      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(a__	)
							return next_generation

def 	lowerCAmelCase__			(      a__:		list[list[int]]      ,  a__:		int	)  ->		list[Image.Image]:


							'''simple docstring'''





							_UpperCAmelCase					=      []
							for _ in range(a__	):
														# Create output image
														_UpperCAmelCase					=      Image.new('RGB'      ,  (len(cells[0]	), len(a__	))	)
														_UpperCAmelCase					=      img.load()

														# Save cells to image
														for x in range(len(a__	)	):
																					for y in range(len(cells[0]	)	):
																												_UpperCAmelCase					=      2_5_5 - cells[y][x] * 2_5_5
																												_UpperCAmelCase					=      (colour, colour, colour)

        # Save image
														images.append(a__	)
														_UpperCAmelCase					=      new_generation(a__	)
							return images


if __name__ == "__main__":
		lowerCAmelCase__  :Tuple             =							generate_images(GLIDER, 1_6)
		images[0].save('''out.gif''', save_all=True, append_images=images[1:])
