
"""simple docstring"""



import logging
from dataclasses import dataclass, field
from pathlib import Path
from typing import Optional, Union

from .generation.configuration_utils import GenerationConfig
from .training_args import TrainingArguments
from .utils import add_start_docstrings


_snake_case          =						logging.getLogger(__name__)
@dataclass
@add_start_docstrings(TrainingArguments.__doc__							)
class        _SCREAMING_SNAKE_CASE  (  lowerCamelCase__							):






    '''simple docstring'''



    SCREAMING_SNAKE_CASE_:							Tuple							=					field(default=lowerCamelCase__      ,				metadata={"help": "Whether to use SortishSampler or not."}							)
    SCREAMING_SNAKE_CASE_:							Tuple							=					field(
        default=lowerCamelCase__      ,				metadata={"help": "Whether to use generate to calculate generative metrics (ROUGE, BLEU)."}							)
    SCREAMING_SNAKE_CASE_:							List[str]							=					field(
        default=lowerCamelCase__      ,				metadata={
            "help": (
                "The `max_length` to use on each evaluation loop when `predict_with_generate=True`. Will default "
                "to the `max_length` value of the model configuration."
            )
        }      ,				)
    SCREAMING_SNAKE_CASE_:							List[str]							=					field(
        default=lowerCamelCase__      ,				metadata={
            "help": (
                "The `num_beams` to use on each evaluation loop when `predict_with_generate=True`. Will default "
                "to the `num_beams` value of the model configuration."
            )
        }      ,				)
    SCREAMING_SNAKE_CASE_:							List[Any]							=					field(
        default=lowerCamelCase__      ,				metadata={
            "help": "Model id, file path or url pointing to a GenerationConfig json file, to use during prediction."
        }      ,				)


    def 				__lowerCamelCase	(					self	:			Dict  )		->  Union[str, Any]:







           """simple docstring"""




           _lowerCAmelCase  	=			super().to_dict()
           for k, v in d.items():
                  if isinstance(__lowerCamelCase				,     __lowerCamelCase  ):
                         _lowerCAmelCase  	=			v.to_dict()
           return d








"""simple docstring"""



def 	__snake_case  (    SCREAMING_SNAKE_CASE:					str						):






							"""simple docstring"""



							_lowerCAmelCase  	=			[int(SCREAMING_SNAKE_CASE						) for i in ip_va_address.split('.'						) if i.isdigit()]
							return len(SCREAMING_SNAKE_CASE						) == 4 and all(0 <= int(SCREAMING_SNAKE_CASE						) <= 254 for octet in octets						)


if __name__ == "__main__":
	_snake_case          =						input().strip()
	_snake_case          =						'''valid''' if is_ip_va_address_valid(ip) else '''invalid'''
	print(f'{ip} is a {valid_or_invalid} IP v4 address.')






