

import argparse
import os

import transformers

from .convert_slow_tokenizer import SLOW_TO_FAST_CONVERTERS
from .utils import logging


logging.set_verbosity_info()

SCREAMING_SNAKE_CASE_            = logging.get_logger(__name__)


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

def 							__SCREAMING_SNAKE_CASE							(			lowerCAmelCase:					List[Any]					, lowerCAmelCase:					int					, lowerCAmelCase:					int					, lowerCAmelCase:					List[Any]	)				->    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:
								_UpperCAmelCase    :						Any							=      TOKENIZER_CLASSES
				else:
								_UpperCAmelCase    :						Union[str, Any]							=      {tokenizer_name: getattr(lowerCAmelCase					, tokenizer_name + "Fast"	)}

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

				for tokenizer_name in tokenizer_names:
								_UpperCAmelCase    :						Optional[Any]							=      TOKENIZER_CLASSES[tokenizer_name]

								_UpperCAmelCase    :						Optional[Any]							=      True
								if checkpoint_name is None:
												_UpperCAmelCase    :						List[Any]							=      list(tokenizer_class.max_model_input_sizes.keys()	)
								else:
												_UpperCAmelCase    :						int							=      [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    :						Any							=      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:
																_UpperCAmelCase						,							_UpperCAmelCase    :						Dict							=      checkpoint.split("/"	)
																_UpperCAmelCase    :						List[str]							=      os.path.join(lowerCAmelCase					, lowerCAmelCase	)
												elif add_prefix:
																_UpperCAmelCase    :						int							=      checkpoint
																_UpperCAmelCase    :						Optional[Any]							=      dump_path
												else:
																_UpperCAmelCase    :						int							=      None
																_UpperCAmelCase    :						Tuple							=      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[Any]							=      list(tokenizer.pretrained_vocab_files_map.values()	)[0][checkpoint]
																_UpperCAmelCase    :						Union[str, Any]							=      file_path.split(lowerCAmelCase	)[-1][0]
																if next_char == "/":
																				_UpperCAmelCase    :						Any							=      os.path.join(lowerCAmelCase					, lowerCAmelCase	)
																				_UpperCAmelCase    :						List[str]							=      None

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

												_UpperCAmelCase    :						Any							=      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__":
					SCREAMING_SNAKE_CASE_            = 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.',
					)
					SCREAMING_SNAKE_CASE_            = parser.parse_args()

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





from __future__ import annotations

from decimal import Decimal
from math import *  # noqa: F403

from sympy import diff

def 							__SCREAMING_SNAKE_CASE							(			lowerCAmelCase:					str					, lowerCAmelCase:					float | Decimal					, lowerCAmelCase:					float = 10**-10	)				->    float:
				_UpperCAmelCase    :						Optional[int]							=      a
				while True:
								_UpperCAmelCase    :						Tuple							=      Decimal(lowerCAmelCase	) - (
								    Decimal(eval(lowerCAmelCase	)	) / Decimal(eval(str(diff(lowerCAmelCase	)	)	)	)  # noqa: S307
								)
								# This number dictates the accuracy of the answer
								if abs(eval(lowerCAmelCase	)	) < precision:  # noqa: S307
												return float(lowerCAmelCase	)


# Let's Execute
if __name__ == "__main__":
					# Find root of trigonometric function
					# Find value of pi
					print(F'''The root of sin(x) = 0 is {newton_raphson("sin(x)", 2)}''')
					# Find root of polynomial
					print(F'''The root of x**2 - 5*x + 2 = 0 is {newton_raphson("x**2 - 5*x + 2", 0.4)}''')
					# Find Square Root of 5
					print(F'''The root of log(x) - 1 = 0 is {newton_raphson("log(x) - 1", 2)}''')
					# Exponential Roots
					print(F'''The root of exp(x) - 1 = 0 is {newton_raphson("exp(x) - 1", 0)}''')


