


import argparse
import os

import transformers

from .convert_slow_tokenizer import SLOW_TO_FAST_CONVERTERS
from .utils import logging


logging.set_verbosity_info()

a			:			List[Any]												=					logging.get_logger(__name__)


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


def 		lowercase_	(  _UpperCamelCase							,      _UpperCamelCase							,      _UpperCamelCase							,      _UpperCamelCase	):


			'''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:
						__lowercase			       = TOKENIZER_CLASSES
			else:
						__lowercase			       = {tokenizer_name: getattr(_UpperCamelCase							,      tokenizer_name + '''Fast'''	)}

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

			for tokenizer_name in tokenizer_names:
						__lowercase			       = TOKENIZER_CLASSES[tokenizer_name]

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

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

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

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

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


if __name__ == "__main__":
	a			:			Tuple												=					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			:			List[str]												=					parser.parse_args()

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






from collections import Counter
from timeit import timeit


def 		lowercase_	(  _UpperCamelCase = ""							,      ):


			'''simple docstring'''







			return sum(c % 2 for c in Counter(input_str.replace(''' '''							,      ''''''	).lower()	).values()	) < 2


def 		lowercase_	(  _UpperCamelCase = ""	):


			'''simple docstring'''







			if len(_UpperCamelCase	) == 0:
						return True
			__lowercase			       = input_str.replace(''' '''							,      ''''''	).lower()
			# character_freq_dict: Stores the frequency of every character in the input string
			__lowercase			       = {}

			for character in lower_case_input_str:
						__lowercase			       = character_freq_dict.get(_UpperCamelCase							,      0	) + 1
			__lowercase			       = 0

			for character_count in character_freq_dict.values():
						if character_count % 2:
									odd_char += 1
			if odd_char > 1:
						return False
			return True


def 		lowercase_	(  _UpperCamelCase = ""	):


			'''simple docstring'''







			print('''\nFor string = '''							,      _UpperCamelCase							,      ''':'''	)
			print(
			    '''> can_string_be_rearranged_as_palindrome_counter()'''							,      '''\tans ='''							,      can_string_be_rearranged_as_palindrome_counter(_UpperCamelCase	)							,      '''\ttime ='''							,      timeit(
			        '''z.can_string_be_rearranged_as_palindrome_counter(z.check_str)'''							,      setup='''import __main__ as z'''							,      )							,      '''seconds'''							,      )
			print(
			    '''> can_string_be_rearranged_as_palindrome()'''							,      '''\tans ='''							,      can_string_be_rearranged_as_palindrome(_UpperCamelCase	)							,      '''\ttime ='''							,      timeit(
			        '''z.can_string_be_rearranged_as_palindrome(z.check_str)'''							,      setup='''import __main__ as z'''							,      )							,      '''seconds'''							,      )


if __name__ == "__main__":
	a			:			int												=					input(
	    '''Enter string to determine if it can be rearranged as a palindrome or not: '''
	).strip()
	benchmark(check_str)
	a			:			Tuple												=					can_string_be_rearranged_as_palindrome_counter(check_str)
	print(f'''{check_str} can {'' if status else 'not '}be rearranged as a palindrome''')


