
"""simple docstring"""





import argparse
import os

import transformers

from .convert_slow_tokenizer import SLOW_TO_FAST_CONVERTERS
from .utils import logging


logging.set_verbosity_info()

_a														=		logging.get_logger(__name__)


_a														=		{name: getattr(transformers, name + """Fast""") for name in SLOW_TO_FAST_CONVERTERS}



def       lowerCamelCase__		(			__snake_case,     __snake_case,     __snake_case,     __snake_case	)							->		Union[str, Any]:


					"""simple docstring"""





					if tokenizer_name is not None and tokenizer_name not in TOKENIZER_CLASSES:
										raise ValueError(F'''Unrecognized tokenizer name, should be one of {list(TOKENIZER_CLASSES.keys()	)}.'''	)

					if tokenizer_name is None:
										_UpperCamelCase							 =  TOKENIZER_CLASSES
					else:
										_UpperCamelCase							 =  {tokenizer_name: getattr(_snake_case,     tokenizer_name + '''Fast'''	)}

					logger.info(F'''Loading tokenizer classes: {tokenizer_names}'''	)

					for tokenizer_name in tokenizer_names:
										_UpperCamelCase							 =  TOKENIZER_CLASSES[tokenizer_name]

										_UpperCamelCase							 =  True
										if checkpoint_name is None:
															_UpperCamelCase							 =  list(tokenizer_class.max_model_input_sizes.keys()	)
										else:
															_UpperCamelCase							 =  [checkpoint_name]

										logger.info(F'''For tokenizer {tokenizer_class.__class__.__name__} loading checkpoints: {checkpoint_names}'''	)

										for checkpoint in checkpoint_names:
															logger.info(F'''Loading {tokenizer_class.__class__.__name__} {checkpoint}'''	)

															# Load tokenizer
															_UpperCamelCase							 =  tokenizer_class.from_pretrained(_snake_case,     force_download=_snake_case	)

															# Save fast tokenizer
															logger.info(F'''Save fast tokenizer to {dump_path} with prefix {checkpoint} add_prefix {add_prefix}'''	)

															# For organization names we create sub-directories
															if "/" in checkpoint:
																				_UpperCamelCase							 =  checkpoint.split('''/'''	)
																				_UpperCamelCase							 =  os.path.join(_snake_case,     _snake_case	)
															elif add_prefix:
																				_UpperCamelCase							 =  checkpoint
																				_UpperCamelCase							 =  dump_path
															else:
																				_UpperCamelCase							 =  None
																				_UpperCamelCase							 =  dump_path

															logger.info(F'''=> {dump_path_full} with prefix {checkpoint_prefix_name}, add_prefix {add_prefix}'''	)

															if checkpoint in list(tokenizer.pretrained_vocab_files_map.values()	)[0]:
																				_UpperCamelCase							 =  list(tokenizer.pretrained_vocab_files_map.values()	)[0][checkpoint]
																				_UpperCamelCase							 =  file_path.split(_snake_case	)[-1][0]
																				if next_char == "/":
																									_UpperCamelCase							 =  os.path.join(_snake_case,     _snake_case	)
																									_UpperCamelCase							 =  None

																				logger.info(F'''=> {dump_path_full} with prefix {checkpoint_prefix_name}, add_prefix {add_prefix}'''	)

															_UpperCamelCase							 =  tokenizer.save_pretrained(
															    _snake_case,     legacy_format=_snake_case,     filename_prefix=_snake_case	)
															logger.info(F'''=> File names {file_names}'''	)

															for file_name in file_names:
																				if not file_name.endswith('''tokenizer.json'''	):
																									os.remove(_snake_case	)
																									logger.info(F'''=> removing {file_name}'''	)


if __name__ == "__main__":
				_a														=		argparse.ArgumentParser()
				# Required parameters
				parser.add_argument(
				    """--dump_path""", default=None, type=str, required=True, help="""Path to output generated fast tokenizer files."""
				)
				parser.add_argument(
				    """--tokenizer_name""",
				    default=None,
				    type=str,
				    help=(
				        F"""Optional tokenizer type selected in the list of {list(TOKENIZER_CLASSES.keys())}. If not given, will """
				        """download and convert all the checkpoints from AWS."""
				    ),
				)
				parser.add_argument(
				    """--checkpoint_name""",
				    default=None,
				    type=str,
				    help="""Optional checkpoint name. If not given, will download and convert the canonical checkpoints from AWS.""",
				)
				parser.add_argument(
				    """--force_download""",
				    action="""store_true""",
				    help="""Re-download checkpoints.""",
				)
				_a														=		parser.parse_args()

				convert_slow_checkpoint_to_fast(args.tokenizer_name, args.checkpoint_name, args.dump_path, args.force_download)










"""simple docstring"""





import math


def    _snake_case  (  ):
      lowerCAmelCase    :		Union[str, Any]				=      input('''Enter message: '''	)
      lowerCAmelCase    :		Optional[int]				=      int(input(f'''Enter key [2-{len(_snake_case	) - 1}]: '''	)	)
      lowerCAmelCase    :		str				=      input('''Encryption/Decryption [e/d]: '''	)

      if mode.lower().startswith('''e'''	):
            lowerCAmelCase    :		Any				=      encrypt_message(_snake_case       ,      _snake_case	)
      elif mode.lower().startswith('''d'''	):
            lowerCAmelCase    :		Union[str, Any]				=      decrypt_message(_snake_case       ,      _snake_case	)

      # Append pipe symbol (vertical bar) to identify spaces at the end.
      print(f'''Output:\n{text + "|"}'''	)


def    _snake_case  (  _snake_case :	int       ,      _snake_case :	str	):
      lowerCAmelCase    :		Optional[Any]				=      [''''''] * key
      for col in range(_snake_case	):
            lowerCAmelCase    :		Optional[Any]				=      col
            while pointer < len(_snake_case	):
                  cipher_text[col] += message[pointer]
                  pointer += key
      return "".join(_snake_case	)


def    _snake_case  (  _snake_case :	int       ,      _snake_case :	str	):
      lowerCAmelCase    :		Union[str, Any]				=      math.ceil(len(_snake_case	) / key	)
      lowerCAmelCase    :		str				=      key
      lowerCAmelCase    :		Any				=      (num_cols * num_rows) - len(_snake_case	)
      lowerCAmelCase    :		Dict				=      [''''''] * num_cols
      lowerCAmelCase    :		int				=      0
      lowerCAmelCase    :		int				=      0

      for symbol in message:
            plain_text[col] += symbol
            col += 1

            if (
                (col == num_cols)
                or (col == num_cols - 1)
                and (row >= num_rows - num_shaded_boxes)
            ):
                  lowerCAmelCase    :		int				=      0
                  row += 1

      return "".join(_snake_case	)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()


