






"""simple docstring"""



import warnings
from typing import List, Optional, Union

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType







class   lowercase__     (				SCREAMING_SNAKE_CASE_  ):
			_UpperCAmelCase						:List[str]       =					["image_processor", "tokenizer"]
			_UpperCAmelCase						:Union[str, Any]       =					"ViltImageProcessor"
			_UpperCAmelCase						:List[str]       =					("BertTokenizer", "BertTokenizerFast")


			def __init__( self	:    List[Any]  ,			snake_case__	:    Optional[Any]=None  ,			snake_case__	:    List[str]=None  ,			**snake_case__	:    Optional[Any]   ):
										lowerCamelCase_			:				Optional[int]										=None
										if "feature_extractor" in kwargs:
																	warnings.warn(
																	    "The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"
																	    " instead."  ,			lowercase_  ,			)
																	lowerCamelCase_			:				str										=kwargs.pop("feature_extractor"   )

										lowerCamelCase_			:				int										=image_processor if image_processor is not None else feature_extractor
										if image_processor is None:
																	raise ValueError("You need to specify an `image_processor`."   )
										if tokenizer is None:
																	raise ValueError("You need to specify a `tokenizer`."   )

										super().__init__(lowercase_  ,			lowercase_   )
										lowerCamelCase_			:				str										=self.image_processor


			def __call__( self	:    Tuple  ,			snake_case__	:    Tuple  ,			snake_case__	:    Tuple = None  ,			snake_case__	:    Tuple = True  ,			snake_case__	:    int = False  ,			snake_case__	:    int = None  ,			snake_case__	:    Dict = None  ,			snake_case__	:    str = 0  ,			snake_case__	:    Any = None  ,			snake_case__	:    str = None  ,			snake_case__	:    Tuple = None  ,			snake_case__	:    List[str] = False  ,			snake_case__	:    Optional[Any] = False  ,			snake_case__	:    Union[str, Any] = False  ,			snake_case__	:    Optional[Any] = False  ,			snake_case__	:    int = True  ,			snake_case__	:    Dict = None  ,			**snake_case__	:    int  ,			):
										lowerCamelCase_			:				List[Any]										=self.tokenizer(
										    text=lowercase_  ,			add_special_tokens=lowercase_  ,			padding=lowercase_  ,			truncation=lowercase_  ,			max_length=lowercase_  ,			stride=lowercase_  ,			pad_to_multiple_of=lowercase_  ,			return_token_type_ids=lowercase_  ,			return_attention_mask=lowercase_  ,			return_overflowing_tokens=lowercase_  ,			return_special_tokens_mask=lowercase_  ,			return_offsets_mapping=lowercase_  ,			return_length=lowercase_  ,			verbose=lowercase_  ,			return_tensors=lowercase_  ,			**lowercase_  ,			)
										# add pixel_values + pixel_mask
										lowerCamelCase_			:				List[str]										=self.image_processor(lowercase_  ,			return_tensors=lowercase_   )
										encoding.update(lowercase_   )

										return encoding


			def       UpperCAmelCase__		( self	:    List[str]  ,			*snake_case__	:    Optional[Any]  ,			**snake_case__	:    Dict   ):
										return self.tokenizer.batch_decode(*lowercase_  ,			**lowercase_   )


			def       UpperCAmelCase__		( self	:    str  ,			*snake_case__	:    Any  ,			**snake_case__	:    int   ):
										return self.tokenizer.decode(*lowercase_  ,			**lowercase_   )


			@property
			def       UpperCAmelCase__		( self	:    List[str]   ):
										lowerCamelCase_			:				int										=self.tokenizer.model_input_names
										lowerCamelCase_			:				Optional[int]										=self.image_processor.model_input_names
										return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names   )   )


			@property
			def       UpperCAmelCase__		( self	:    Union[str, Any]   ):
										warnings.warn(
										    "`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead."  ,			lowercase_  ,			)
										return self.image_processor_class


			@property
			def       UpperCAmelCase__		( self	:    Any   ):
										warnings.warn(
										    "`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead."  ,			lowercase_  ,			)
										return self.image_processor





"""simple docstring"""

def      lowercase__    (       lowerCAmelCase					:       str			)			->   bool:






    """simple docstring"""




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


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



