



import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
		from .tokenization_xglm import XGLMTokenizer
else:
		_lowercase	:   List[str]    	=None


_lowercase	:   str    	=logging.get_logger(__name__)

_lowercase	:   str    	={"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}

_lowercase	:   Union[str, Any]    	={
    "vocab_file": {
        "facebook/xglm-564M": "https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model",
    },
    "tokenizer_file": {
        "facebook/xglm-564M": "https://huggingface.co/facebook/xglm-564M/resolve/main/tokenizer.json",
    },
}

_lowercase	:   Optional[Any]    	={
    "facebook/xglm-564M": 2048,
}

class      snake_case__       (A__	):







						"""simple docstring"""




						__lowerCAmelCase  :Union[str, Any]			      =  VOCAB_FILES_NAMES
						__lowerCAmelCase  :Optional[Any]			      =  PRETRAINED_VOCAB_FILES_MAP
						__lowerCAmelCase  :Tuple			      =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						__lowerCAmelCase  :List[Any]			      =  ["input_ids", "attention_mask"]
						__lowerCAmelCase  :str			      =  XGLMTokenizer

						def __init__(     self      ,     __lowercase=None      ,     __lowercase=None      ,     __lowercase="<s>"      ,     __lowercase="</s>"      ,     __lowercase="</s>"      ,     __lowercase="<s>"      ,     __lowercase="<unk>"      ,     __lowercase="<pad>"      ,     **__lowercase      ,     )      ->   List[str]:
									"""simple docstring"""




									a__     :		int		 =						7
									a__     :		List[Any]		 =						[F'''<madeupword{i}>''' for i in range(self.num_madeup_words						)]

									a__     :		Optional[int]		 =						kwargs.get("""additional_special_tokens"""      ,     []						)
									kwargs["additional_special_tokens"] += [
									    word for word in madeup_words if word not in kwargs["additional_special_tokens"]
									]

									super().__init__(
									    __lowercase      ,     tokenizer_file=__lowercase      ,     bos_token=__lowercase      ,     eos_token=__lowercase      ,     sep_token=__lowercase      ,     cls_token=__lowercase      ,     unk_token=__lowercase      ,     pad_token=__lowercase      ,     **__lowercase      ,     )

									a__     :		Tuple		 =						vocab_file
									a__     :		List[str]		 =						False if not self.vocab_file else True

						def 							SCREAMING_SNAKE_CASE__(     self      ,     __lowercase      ,     __lowercase = None						)      ->   List[int]:
									"""simple docstring"""




									if token_ids_a is None:
												return [self.sep_token_id] + token_ids_a
									a__     :		Optional[int]		 =						[self.sep_token_id]
									return sep + token_ids_a + sep + sep + token_ids_a

						def 							SCREAMING_SNAKE_CASE__(     self      ,     __lowercase      ,     __lowercase = None						)      ->   List[int]:
									"""simple docstring"""




									a__     :		Any		 =						[self.sep_token_id]

									if token_ids_a is None:
												return len(sep + token_ids_a						) * [0]
									return len(sep + token_ids_a + sep + sep + token_ids_a						) * [0]

						def 							SCREAMING_SNAKE_CASE__(     self      ,     __lowercase      ,     __lowercase = None						)      ->   Tuple[str]:
									"""simple docstring"""




									if not self.can_save_slow_tokenizer:
												raise ValueError(
												    """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
												    """tokenizer."""						)

									if not os.path.isdir(__lowercase						):
												logger.error(F'''Vocabulary path ({save_directory}) should be a directory.'''						)
												return
									a__     :		Dict		 =						os.path.join(
									    __lowercase      ,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]						)

									if os.path.abspath(self.vocab_file						) != os.path.abspath(__lowercase						):
												copyfile(self.vocab_file      ,     __lowercase						)

									return (out_vocab_file,)









from collections.abc import Callable

_lowercase	:   int    	=Callable[[float], float]  # type alias for a real -> real function

def 			lowerCAmelCase_  (						_lowercase       :     RealFunc		,     _lowercase       :     RealFunc		,     _lowercase       :     int		,     )							-> float:







			"""simple docstring"""
			a__     :		Optional[int]		 =						float(_lowercase)
			while True:
						try:
									a__     :		Union[str, Any]		 =						prev_guess - function(_lowercase) / derivative(_lowercase)
						except ZeroDivisionError:
									raise ZeroDivisionError("""Could not find root""") from None
						if abs(prev_guess - next_guess) < 10**-5:
									return next_guess
						a__     :		Optional[Any]		 =						next_guess

def 			lowerCAmelCase_  (						_lowercase       :     float)							-> float:







			"""simple docstring"""
			return (x**3) - (2 * x) - 5

def 			lowerCAmelCase_  (						_lowercase       :     float)							-> float:







			"""simple docstring"""
			return 3 * (x**2) - 2


if __name__ == "__main__":
		print(newton(f, fa, 3))




