
'''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()

lowercase__											=logging.get_logger(__name__)


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






def      UpperCamelCase_				(      A__  ,      A__  ,      A__  ,      A__						):
	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:
		a_      				=						TOKENIZER_CLASSES
	else:
		a_      				=						{tokenizer_name: getattr(A__  ,      tokenizer_name + """Fast"""						)}

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

	for tokenizer_name in tokenizer_names:
		a_      				=						TOKENIZER_CLASSES[tokenizer_name]

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

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

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

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

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


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

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


'''simple docstring'''
import re






def      UpperCamelCase_				(      A__						):
	a_      				=						re.compile(r"""^(\+91[\-\s]?)?[0]?(91)?[789]\d{9}$"""						)
	if match := re.search(A__  ,      A__						):
		return match.string == phone
	return False


if __name__ == "__main__":
		print(indian_phone_validator('+918827897895'))
