


"""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()

_lowerCamelCase     =  logging.get_logger(__name__)


_lowerCamelCase     =  {name: getattr(transformers, name + 'Fast') for name in SLOW_TO_FAST_CONVERTERS}


def __lowercase     (      lowerCamelCase_  :      List[str]						,					lowerCamelCase_  :      str						,					lowerCamelCase_  :      Optional[int]						,					lowerCamelCase_  :      Tuple  ):
				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:
								SCREAMING_SNAKE_CASE__     							=				TOKENIZER_CLASSES
				else:
								SCREAMING_SNAKE_CASE__     							=				{tokenizer_name: getattr(lowerCamelCase_						,					tokenizer_name + "Fast"  )}

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

				for tokenizer_name in tokenizer_names:
								SCREAMING_SNAKE_CASE__     							=				TOKENIZER_CLASSES[tokenizer_name]

								SCREAMING_SNAKE_CASE__     							=				True
								if checkpoint_name is None:
												SCREAMING_SNAKE_CASE__     							=				list(tokenizer_class.max_model_input_sizes.keys()  )
								else:
												SCREAMING_SNAKE_CASE__     							=				[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
												SCREAMING_SNAKE_CASE__     							=				tokenizer_class.from_pretrained(lowerCamelCase_						,					force_download=lowerCamelCase_  )

												# 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:
																SCREAMING_SNAKE_CASE__							,      SCREAMING_SNAKE_CASE__     							=				checkpoint.split("/"  )
																SCREAMING_SNAKE_CASE__     							=				os.path.join(lowerCamelCase_						,					lowerCamelCase_  )
												elif add_prefix:
																SCREAMING_SNAKE_CASE__     							=				checkpoint
																SCREAMING_SNAKE_CASE__     							=				dump_path
												else:
																SCREAMING_SNAKE_CASE__     							=				None
																SCREAMING_SNAKE_CASE__     							=				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]:
																SCREAMING_SNAKE_CASE__     							=				list(tokenizer.pretrained_vocab_files_map.values()  )[0][checkpoint]
																SCREAMING_SNAKE_CASE__     							=				file_path.split(lowerCamelCase_  )[-1][0]
																if next_char == "/":
																				SCREAMING_SNAKE_CASE__     							=				os.path.join(lowerCamelCase_						,					lowerCamelCase_  )
																				SCREAMING_SNAKE_CASE__     							=				None

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

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

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


if __name__ == "__main__":
	_lowerCamelCase     =  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.',
	)
	_lowerCamelCase     =  parser.parse_args()

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




"""simple docstring"""






from __future__ import annotations

from collections.abc import Sequence
from typing import Literal


def __lowercase     (      lowerCamelCase_  :      str						,					lowerCamelCase_  :      str  ):
				SCREAMING_SNAKE_CASE__     							=				list(lowerCamelCase_  )
				SCREAMING_SNAKE_CASE__     							=				list(lowerCamelCase_  )
				SCREAMING_SNAKE_CASE__     							=				0
				for i in range(len(lowerCamelCase_  )  ):
								if lista[i] != lista[i]:
												count += 1
												SCREAMING_SNAKE_CASE__     							=				"_"
				if count > 1:
								return False
				else:
								return "".join(lowerCamelCase_  )


def __lowercase     (      lowerCamelCase_  :      list[str]  ):
				SCREAMING_SNAKE_CASE__     							=				[]
				while True:
								SCREAMING_SNAKE_CASE__     							=				["$"] * len(lowerCamelCase_  )
								SCREAMING_SNAKE_CASE__     							=				[]
								for i in range(len(lowerCamelCase_  )  ):
												for j in range(i + 1						,					len(lowerCamelCase_  )  ):
																SCREAMING_SNAKE_CASE__     							=				compare_string(binary[i]						,					binary[j]  )
																if k is False:
																				SCREAMING_SNAKE_CASE__     							=				"*"
																				SCREAMING_SNAKE_CASE__     							=				"*"
																				temp.append("X"  )
								for i in range(len(lowerCamelCase_  )  ):
												if checka[i] == "$":
																pi.append(binary[i]  )
								if len(lowerCamelCase_  ) == 0:
												return pi
								SCREAMING_SNAKE_CASE__     							=				list(set(lowerCamelCase_  )  )


def __lowercase     (      lowerCamelCase_  :      int						,					lowerCamelCase_  :      Sequence[float]  ):
				SCREAMING_SNAKE_CASE__     							=				[]
				for minterm in minterms:
								SCREAMING_SNAKE_CASE__     							=				""
								for _ in range(lowerCamelCase_  ):
												SCREAMING_SNAKE_CASE__     							=				str(minterm % 2  ) + string
												minterm //= 2
								temp.append(lowerCamelCase_  )
				return temp


def __lowercase     (      lowerCamelCase_  :      str						,					lowerCamelCase_  :      str						,					lowerCamelCase_  :      int  ):
				SCREAMING_SNAKE_CASE__     							=				list(lowerCamelCase_  )
				SCREAMING_SNAKE_CASE__     							=				list(lowerCamelCase_  )
				SCREAMING_SNAKE_CASE__     							=				0
				for i in range(len(lowerCamelCase_  )  ):
								if lista[i] != lista[i]:
												count_n += 1
				return count_n == count


def __lowercase     (      lowerCamelCase_  :      list[list[int]]						,					lowerCamelCase_  :      list[str]  ):
				SCREAMING_SNAKE_CASE__     							=				[]
				SCREAMING_SNAKE_CASE__     							=				[0] * len(lowerCamelCase_  )
				for i in range(len(chart[0]  )  ):
								SCREAMING_SNAKE_CASE__     							=				0
								SCREAMING_SNAKE_CASE__     							=				-1
								for j in range(len(lowerCamelCase_  )  ):
												if chart[j][i] == 1:
																count += 1
																SCREAMING_SNAKE_CASE__     							=				j
								if count == 1:
												SCREAMING_SNAKE_CASE__     							=				1
				for i in range(len(lowerCamelCase_  )  ):
								if select[i] == 1:
												for j in range(len(chart[0]  )  ):
																if chart[i][j] == 1:
																				for k in range(len(lowerCamelCase_  )  ):
																								SCREAMING_SNAKE_CASE__     							=				0
												temp.append(prime_implicants[i]  )
				while True:
								SCREAMING_SNAKE_CASE__     							=				0
								SCREAMING_SNAKE_CASE__     							=				-1
								SCREAMING_SNAKE_CASE__     							=				0
								for i in range(len(lowerCamelCase_  )  ):
												SCREAMING_SNAKE_CASE__     							=				chart[i].count(1  )
												if count_n > max_n:
																SCREAMING_SNAKE_CASE__     							=				count_n
																SCREAMING_SNAKE_CASE__     							=				i

								if max_n == 0:
												return temp

								temp.append(prime_implicants[rem]  )

								for i in range(len(chart[0]  )  ):
												if chart[rem][i] == 1:
																for j in range(len(lowerCamelCase_  )  ):
																				SCREAMING_SNAKE_CASE__     							=				0


def __lowercase     (      lowerCamelCase_  :      list[str]						,					lowerCamelCase_  :      list[str]  ):
				SCREAMING_SNAKE_CASE__     							=				[[0 for x in range(len(lowerCamelCase_  )  )] for x in range(len(lowerCamelCase_  )  )]
				for i in range(len(lowerCamelCase_  )  ):
								SCREAMING_SNAKE_CASE__     							=				prime_implicants[i].count("_"  )
								for j in range(len(lowerCamelCase_  )  ):
												if is_for_table(prime_implicants[i]						,					binary[j]						,					lowerCamelCase_  ):
																SCREAMING_SNAKE_CASE__     							=				1

				return chart


def __lowercase     (      ):
				SCREAMING_SNAKE_CASE__     							=				int(input("Enter the no. of variables\n"  )  )
				SCREAMING_SNAKE_CASE__     							=				[
				    float(lowerCamelCase_  )
				    for x in input(
				        "Enter the decimal representation of Minterms 'Spaces Separated'\n"  ).split()
				]
				SCREAMING_SNAKE_CASE__     							=				decimal_to_binary(lowerCamelCase_						,					lowerCamelCase_  )

				SCREAMING_SNAKE_CASE__     							=				check(lowerCamelCase_  )
				print("Prime Implicants are:"  )
				print(lowerCamelCase_  )
				SCREAMING_SNAKE_CASE__     							=				prime_implicant_chart(lowerCamelCase_						,					lowerCamelCase_  )

				SCREAMING_SNAKE_CASE__     							=				selection(lowerCamelCase_						,					lowerCamelCase_  )
				print("Essential Prime Implicants are:"  )
				print(lowerCamelCase_  )


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()
