"""simple docstring"""







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

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


if is_sentencepiece_available():
	from .tokenization_reformer import ReformerTokenizer
else:
	_a	:	Optional[int]=					None


_a	:	Optional[Any]=					logging.get_logger(__name__)


_a	:	Union[str, Any]=					'''▁'''

_a	:	Any=					{'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

_a	:	List[Any]=					{
    '''vocab_file''': {
        '''google/reformer-crime-and-punishment''': (
            '''https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model'''
        )
    },
    '''tokenizer_file''': {
        '''google/reformer-crime-and-punishment''': (
            '''https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/tokenizer.json'''
        )
    },
}

_a	:	Any=					{
    '''google/reformer-crime-and-punishment''': 524_288,
}

class 						UpperCamelCase     (       snake_case__		):
				UpperCAmelCase							: str       =						VOCAB_FILES_NAMES
				UpperCAmelCase							: List[Any]       =						PRETRAINED_VOCAB_FILES_MAP
				UpperCAmelCase							: Optional[int]       =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				UpperCAmelCase							: Any       =						['input_ids', 'attention_mask']
				UpperCAmelCase							: int       =						ReformerTokenizer



				def __init__(self							: Dict      ,    _A							: List[str]=None      ,    _A							: Dict=None      ,    _A							: Any="</s>"      ,    _A							: int="<unk>"      ,    _A							: List[Any]=[]      ,    **_A							: List[Any]      ,    )       ->      Union[str, Any]:
					super().__init__(
					    __lowerCAmelCase      ,    tokenizer_file=__lowerCAmelCase      ,    eos_token=__lowerCAmelCase      ,    unk_token=__lowerCAmelCase      ,    additional_special_tokens=__lowerCAmelCase      ,    **__lowerCAmelCase      ,    )

					__snake_case     :				List[str] 						=					vocab_file
					__snake_case     :				Optional[int] 						=					False if not self.vocab_file else True






				def    _lowercase	(self							: Tuple      ,    _A							: int      ,    _A							: Dict = None)       ->      Any:


					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(__lowerCAmelCase):
						logger.error(f"Vocabulary path ({save_directory}) should be a directory")
						return
					__snake_case     :				List[str] 						=					os.path.join(
					    __lowerCAmelCase      ,    (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])

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

					return (out_vocab_file,)











'''simple docstring'''





from __future__ import annotations

# Define the Gravitational Constant G and the function
a		:	Union[str, Any]       =      6.6743e-11  # unit of G : m^3 * kg^-1 * s^-2





def UpperCAmelCase    (       UpperCAmelCase_   ,	UpperCAmelCase_   ,	UpperCAmelCase_   ,	UpperCAmelCase_						):
    _a				:							Dict							       =      mass_a * mass_a

    if (force, mass_a, mass_a, distance).count(0						) != 1:
        raise ValueError("""One and only one argument must be 0"""						)
    if force < 0:
        raise ValueError("""Gravitational force can not be negative"""						)
    if distance < 0:
        raise ValueError("""Distance can not be negative"""						)
    if mass_a < 0 or mass_a < 0:
        raise ValueError("""Mass can not be negative"""						)
    if force == 0:
        _a				:							Optional[int]							       =      GRAVITATIONAL_CONSTANT * product_of_mass / (distance**2)
        return {"force": force}
    elif mass_a == 0:
        _a				:							Any							       =      (force) * (distance**2) / (GRAVITATIONAL_CONSTANT * mass_a)
        return {"mass_1": mass_a}
    elif mass_a == 0:
        _a				:							Union[str, Any]							       =      (force) * (distance**2) / (GRAVITATIONAL_CONSTANT * mass_a)
        return {"mass_2": mass_a}
    elif distance == 0:
        _a				:							Optional[Any]							       =      (GRAVITATIONAL_CONSTANT * product_of_mass / (force)) ** 0.5
        return {"distance": distance}
    raise ValueError("""One and only one argument must be 0"""						)


# Run doctest
if __name__ == "__main__":
  import doctest

  doctest.testmod()


