


'''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 _SCREAMING_SNAKE_CASE (A    ,					A    ,					A    ,					A    ,					A=True    ,					A="pt"			)			->			int:






       """simple docstring"""







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

def _SCREAMING_SNAKE_CASE (A    ,					A    ,					A=None    ,					)			->			Optional[Any]:






       """simple docstring"""







       lowercase__      =					input_ids.ne(A			).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     __lowerCAmelCase		(lowercase_	):





      '''simple docstring'''






      def __init__(self       :       List[str]  ,		UpperCamelCase       :       List[str]  ,		UpperCamelCase       :       Union[str, Any]  ,		UpperCamelCase       :       int  ,		UpperCamelCase       :       List[str]  ,		UpperCamelCase       :       List[str]="train"  ,		UpperCamelCase       :       Optional[Any]=None  ,		UpperCamelCase       :       Union[str, Any]=None  ,		UpperCamelCase       :       Union[str, Any]=None  ,		UpperCamelCase       :       Any=""  ,		):

             '''simple docstring'''







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



      def __len__(self       :       Optional[int]					):

             '''simple docstring'''







             return len(self.src_lens					)



      def __getitem__(self       :       str  ,		UpperCamelCase       :       int					):

             '''simple docstring'''







             lowercase__      =					index + 1  # linecache starts at 1
             lowercase__      =					self.prefix + linecache.getline(str(self.src_file					)  ,		UpperCamelCase					).rstrip('''\n'''					)
             lowercase__      =					linecache.getline(str(self.tgt_file					)  ,		UpperCamelCase					).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  ,		UpperCamelCase					):
                    source_line += self.tokenizer.eos_token
                    tgt_line += self.tokenizer.eos_token

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

             lowercase__      =					encode_line(UpperCamelCase  ,		UpperCamelCase  ,		self.max_source_length  ,		'''right'''					)
             lowercase__      =					encode_line(UpperCamelCase  ,		UpperCamelCase  ,		self.max_target_length  ,		'''right'''					)

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



      @staticmethod
      def  UpperCamelCase__						(UpperCamelCase       :       Optional[int]					):

             '''simple docstring'''







             return [len(UpperCamelCase					) for x in Path(UpperCamelCase					).open().readlines()]






      def  UpperCamelCase__						(self       :       Optional[int]  ,		UpperCamelCase       :       Union[str, Any]					):

             '''simple docstring'''







             lowercase__      =					torch.stack([x['''input_ids'''] for x in batch]					)
             lowercase__      =					torch.stack([x['''attention_mask'''] for x in batch]					)
             lowercase__      =					torch.stack([x['''decoder_input_ids'''] for x in batch]					)
             lowercase__      =					(
                 self.tokenizer.generator.pad_token_id
                 if isinstance(self.tokenizer  ,		UpperCamelCase					)
                 else self.tokenizer.pad_token_id
             )
             lowercase__      =					(
                 self.tokenizer.question_encoder.pad_token_id
                 if isinstance(self.tokenizer  ,		UpperCamelCase					)
                 else self.tokenizer.pad_token_id
             )
             lowercase__      =					trim_batch(UpperCamelCase  ,		UpperCamelCase					)
             lowercase__     ,lowercase__      =					trim_batch(UpperCamelCase  ,		UpperCamelCase  ,		attention_mask=UpperCamelCase					)
             lowercase__      =					{
                 '''input_ids''': source_ids,
                 '''attention_mask''': source_mask,
                 '''decoder_input_ids''': y,
             }
             return batch






lowerCamelCase				:  Optional[Any]    		=      getLogger(__name__)

def _SCREAMING_SNAKE_CASE (A			)			->			Optional[int]:






       """simple docstring"""







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

def _SCREAMING_SNAKE_CASE (A			)			->			None:






       """simple docstring"""







       lowercase__      =					get_git_info()
       save_json(A    ,					os.path.join(A    ,					'''git_log.json'''			)			)

def _SCREAMING_SNAKE_CASE (A    ,					A    ,					A=4    ,					**A			)			->			Any:






       """simple docstring"""







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

def _SCREAMING_SNAKE_CASE (A			)			->			List[Any]:






       """simple docstring"""







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

def _SCREAMING_SNAKE_CASE ()			->			Optional[int]:






       """simple docstring"""







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

def _SCREAMING_SNAKE_CASE (A    ,					A			)			->			List:






       """simple docstring"""







       return list(map(A    ,					A			)			)

def _SCREAMING_SNAKE_CASE (A    ,					A			)			->			List[str]:






       """simple docstring"""







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

def _SCREAMING_SNAKE_CASE (A			)			->			Any:






       """simple docstring"""







       def remove_articles(A			):
              return re.sub(R'''\b(a|an|the)\b'''    ,					''' '''    ,					A			)

       def white_space_fix(A			):
              return " ".join(text.split()			)

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

       def lower(A			):
              return text.lower()

       return white_space_fix(remove_articles(remove_punc(lower(A			)			)			)			)

def _SCREAMING_SNAKE_CASE (A    ,					A			)			->			Any:






       """simple docstring"""







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

def _SCREAMING_SNAKE_CASE (A    ,					A			)			->			Optional[Any]:






       """simple docstring"""







       return normalize_answer(A			) == normalize_answer(A			)

def _SCREAMING_SNAKE_CASE (A    ,					A			)			->			Dict:






       """simple docstring"""







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

def _SCREAMING_SNAKE_CASE (A			)			->			Dict:






       """simple docstring"""







       return model_prefix.startswith('''rag'''			)

def _SCREAMING_SNAKE_CASE (A    ,					A    ,					A			)			->			Optional[int]:






       """simple docstring"""







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








'''simple docstring'''

def _SCREAMING_SNAKE_CASE (A = 1_000			)			->			int:






       """simple docstring"""







       return sum(2 * a * ((a - 1) // 2) for a in range(3    ,					n + 1			)			)


if __name__ == "__main__":
 print(solution())




