
"""simple docstring"""

import itertools
import json
import linecache
import os
import pickle
import re
import socket
import string
from collections import Counter
from logging import getLogger
from pathlib import Path
from typing import Callable, Dict, Iterable, List

import git
import torch
from torch.utils.data import Dataset

from transformers import BartTokenizer, RagTokenizer, TaTokenizer




def      lowercase__    (       lowerCAmelCase					:       str			,					lowerCAmelCase					:       Any			,					lowerCAmelCase					:       List[Any]			,					lowerCAmelCase					:       Tuple			,					lowerCAmelCase					:       Any=True			,					lowerCAmelCase					:       int="pt"			)			->   Optional[int]:






    """simple docstring"""




    UpperCAmelCase          =       {'add_prefix_space': True} if isinstance(lowerCAmelCase			,					lowerCAmelCase			) and not line.startswith(' '			) else {}
    UpperCAmelCase          =       padding_side
    return tokenizer(
        [line]			,					max_length=lowerCAmelCase			,					padding='max_length' if pad_to_max_length else None			,					truncation=lowerCAmelCase			,					return_tensors=lowerCAmelCase			,					add_special_tokens=lowerCAmelCase			,					**lowerCAmelCase			,					)




def      lowercase__    (       lowerCAmelCase					:       Tuple			,					lowerCAmelCase					:       int			,					lowerCAmelCase					:       str=None			,					)			->   List[str]:






    """simple docstring"""




    UpperCAmelCase          =       input_ids.ne(lowerCAmelCase			).any(dim=0			)
    if attention_mask is None:
        return input_ids[:, keep_column_mask]
    else:
        return (input_ids[:, keep_column_mask], attention_mask[:, keep_column_mask])
class   _UpperCAmelCase				(		SCREAMING_SNAKE_CASE_				):




      def __init__(				self ,							lowercase_ ,							lowercase_ ,							lowercase_ ,							lowercase_ ,							lowercase_="train" ,							lowercase_=None ,							lowercase_=None ,							lowercase_=None ,							lowercase_="" ,							)    ->       Tuple:
          super().__init__()
          UpperCAmelCase          =       Path(lowercase_				).joinpath(type_path + '.source'				)
          UpperCAmelCase          =       Path(lowercase_				).joinpath(type_path + '.target'				)
          UpperCAmelCase          =       self.get_char_lens(self.src_file				)
          UpperCAmelCase          =       max_source_length
          UpperCAmelCase          =       max_target_length
          assert min(self.src_lens				) > 0, F"found empty line in {self.src_file}"
          UpperCAmelCase          =       tokenizer
          UpperCAmelCase          =       prefix
          if n_obs is not None:
              UpperCAmelCase          =       self.src_lens[:n_obs]
          UpperCAmelCase          =       src_lang
          UpperCAmelCase          =       tgt_lang




      def __len__(				self				)    ->       Tuple:
          return len(self.src_lens				)




      def __getitem__(				self ,							lowercase_				)    ->       Dict[str, torch.Tensor]:
          UpperCAmelCase          =       index + 1  # linecache starts at 1
          UpperCAmelCase          =       self.prefix + linecache.getline(str(self.src_file				) ,							lowercase_				).rstrip('\n'				)
          UpperCAmelCase          =       linecache.getline(str(self.tgt_file				) ,							lowercase_				).rstrip('\n'				)
          assert source_line, F"empty source line for index {index}"
          assert tgt_line, F"empty tgt line for index {index}"

          # Need to add eos token manually for T5
          if isinstance(self.tokenizer ,							lowercase_				):
              source_line += self.tokenizer.eos_token
              tgt_line += self.tokenizer.eos_token

          # Pad source and target to the right
          UpperCAmelCase          =       (
              self.tokenizer.question_encoder if isinstance(self.tokenizer ,							lowercase_				) else self.tokenizer
          )
          UpperCAmelCase          =       self.tokenizer.generator if isinstance(self.tokenizer ,							lowercase_				) else self.tokenizer

          UpperCAmelCase          =       encode_line(lowercase_ ,							lowercase_ ,							self.max_source_length ,							'right'				)
          UpperCAmelCase          =       encode_line(lowercase_ ,							lowercase_ ,							self.max_target_length ,							'right'				)

          UpperCAmelCase          =       source_inputs['input_ids'].squeeze()
          UpperCAmelCase          =       target_inputs['input_ids'].squeeze()
          UpperCAmelCase          =       source_inputs['attention_mask'].squeeze()
          return {
              "input_ids": source_ids,
              "attention_mask": src_mask,
              "decoder_input_ids": target_ids,
          }




      @staticmethod
      def      a_   (				lowercase_				)    ->       str:
          return [len(lowercase_				) for x in Path(lowercase_				).open().readlines()]




      def      a_   (				self ,							lowercase_				)    ->       Dict[str, torch.Tensor]:
          UpperCAmelCase          =       torch.stack([x['input_ids'] for x in batch]				)
          UpperCAmelCase          =       torch.stack([x['attention_mask'] for x in batch]				)
          UpperCAmelCase          =       torch.stack([x['decoder_input_ids'] for x in batch]				)
          UpperCAmelCase          =       (
              self.tokenizer.generator.pad_token_id
              if isinstance(self.tokenizer ,							lowercase_				)
              else self.tokenizer.pad_token_id
          )
          UpperCAmelCase          =       (
              self.tokenizer.question_encoder.pad_token_id
              if isinstance(self.tokenizer ,							lowercase_				)
              else self.tokenizer.pad_token_id
          )
          UpperCAmelCase          =       trim_batch(lowercase_ ,							lowercase_				)
          UpperCAmelCase      ,				UpperCAmelCase          =       trim_batch(lowercase_ ,							lowercase_ ,							attention_mask=lowercase_				)
          UpperCAmelCase          =       {
              'input_ids': source_ids,
              'attention_mask': source_mask,
              'decoder_input_ids': y,
          }
          return batch

SCREAMING_SNAKE_CASE_            =    getLogger(__name__)




def      lowercase__    (       lowerCAmelCase					:       List[List]			)			->   Optional[int]:






    """simple docstring"""




    return list(itertools.chain.from_iterable(lowerCAmelCase			)			)




def      lowercase__    (       lowerCAmelCase					:       str			)			->   None:






    """simple docstring"""




    UpperCAmelCase          =       get_git_info()
    save_json(lowerCAmelCase			,					os.path.join(lowerCAmelCase			,					'git_log.json'			)			)




def      lowercase__    (       lowerCAmelCase					:       str			,					lowerCAmelCase					:       int			,					lowerCAmelCase					:       Any=4			,					**lowerCAmelCase					:       Union[str, Any]			)			->   Optional[int]:






    """simple docstring"""




    with open(lowerCAmelCase			,					'w'			) as f:
        json.dump(lowerCAmelCase			,					lowerCAmelCase			,					indent=lowerCAmelCase			,					**lowerCAmelCase			)




def      lowercase__    (       lowerCAmelCase					:       Optional[int]			)			->   Optional[int]:






    """simple docstring"""




    with open(lowerCAmelCase			) as f:
        return json.load(lowerCAmelCase			)




def      lowercase__    (       )			->   List[Any]:






    """simple docstring"""




    UpperCAmelCase          =       git.Repo(search_parent_directories=lowerCAmelCase			)
    UpperCAmelCase          =       {
        'repo_id': str(lowerCAmelCase			),
        'repo_sha': str(repo.head.object.hexsha			),
        'repo_branch': str(repo.active_branch			),
        'hostname': str(socket.gethostname()			),
    }
    return repo_infos




def      lowercase__    (       lowerCAmelCase					:       Callable			,					lowerCAmelCase					:       Iterable			)			->   List:






    """simple docstring"""




    return list(map(lowerCAmelCase			,					lowerCAmelCase			)			)




def      lowercase__    (       lowerCAmelCase					:       Optional[int]			,					lowerCAmelCase					:       Any			)			->   Union[str, Any]:






    """simple docstring"""




    with open(lowerCAmelCase			,					'wb'			) as f:
        return pickle.dump(lowerCAmelCase			,					lowerCAmelCase			)




def      lowercase__    (       lowerCAmelCase					:       Optional[int]			)			->   Optional[int]:






    """simple docstring"""




    def remove_articles(lowerCAmelCase					:       Union[str, Any]			):
        return re.sub(r'\b(a|an|the)\b'			,					' '			,					lowerCAmelCase			)

    def white_space_fix(lowerCAmelCase					:       List[str]			):
        return " ".join(text.split()			)

    def remove_punc(lowerCAmelCase					:       str			):
        UpperCAmelCase          =       set(string.punctuation			)
        return "".join(ch for ch in text if ch not in exclude			)

    def lower(lowerCAmelCase					:       List[Any]			):
        return text.lower()

    return white_space_fix(remove_articles(remove_punc(lower(lowerCAmelCase			)			)			)			)




def      lowercase__    (       lowerCAmelCase					:       int			,					lowerCAmelCase					:       int			)			->   int:






    """simple docstring"""




    UpperCAmelCase          =       normalize_answer(lowerCAmelCase			).split()
    UpperCAmelCase          =       normalize_answer(lowerCAmelCase			).split()
    UpperCAmelCase          =       Counter(lowerCAmelCase			) & Counter(lowerCAmelCase			)
    UpperCAmelCase          =       sum(common.values()			)
    if num_same == 0:
        return 0
    UpperCAmelCase          =       1.0 * num_same / len(lowerCAmelCase			)
    UpperCAmelCase          =       1.0 * num_same / len(lowerCAmelCase			)
    UpperCAmelCase          =       (2 * precision * recall) / (precision + recall)
    return fa




def      lowercase__    (       lowerCAmelCase					:       Union[str, Any]			,					lowerCAmelCase					:       Dict			)			->   List[str]:






    """simple docstring"""




    return normalize_answer(lowerCAmelCase			) == normalize_answer(lowerCAmelCase			)




def      lowercase__    (       lowerCAmelCase					:       List[str]			,					lowerCAmelCase					:       List[str]			)			->   Dict:






    """simple docstring"""




    assert len(lowerCAmelCase			) == len(lowerCAmelCase			)
    UpperCAmelCase          =       0
    for hypo, pred in zip(lowerCAmelCase			,					lowerCAmelCase			):
        em += exact_match_score(lowerCAmelCase			,					lowerCAmelCase			)
    if len(lowerCAmelCase			) > 0:
        em /= len(lowerCAmelCase			)
    return {"em": em}




def      lowercase__    (       lowerCAmelCase					:       List[str]			)			->   str:






    """simple docstring"""




    return model_prefix.startswith('rag'			)







def      lowercase__    (       lowerCAmelCase					:       Dict			,					lowerCAmelCase					:       Any			,					lowerCAmelCase					:       List[Any]			)			->   List[Any]:






    """simple docstring"""




    UpperCAmelCase          =       {p: p for p in extra_params}
    # T5 models don't have `dropout` param, they have `dropout_rate` instead
    UpperCAmelCase          =       'dropout_rate'
    for p in extra_params:
        if getattr(lowerCAmelCase			,					lowerCAmelCase			,					lowerCAmelCase			):
            if not hasattr(lowerCAmelCase			,					lowerCAmelCase			) and not hasattr(lowerCAmelCase			,					equivalent_param[p]			):
                logger.info('config doesn\'t have a `{}` attribute'.format(lowerCAmelCase			)			)
                delattr(lowerCAmelCase			,					lowerCAmelCase			)
                continue
            UpperCAmelCase          =       p if hasattr(lowerCAmelCase			,					lowerCAmelCase			) else equivalent_param[p]
            setattr(lowerCAmelCase			,					lowerCAmelCase			,					getattr(lowerCAmelCase			,					lowerCAmelCase			)			)
            delattr(lowerCAmelCase			,					lowerCAmelCase			)
    return hparams, config





"""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.')



