





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


def _A       (   __magic_name__  , __magic_name__  , __magic_name__=None  , ):
   lowercase__			       =  input_ids.ne(snake_case__	).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							(       a__ ):







  def __init__(      self  :Optional[int]   ,							_lowercase  :Dict   ,							_lowercase  :List[Any]   ,							_lowercase  :Dict   ,							_lowercase  :List[Any]   ,							_lowercase  :Tuple="train"   ,							_lowercase  :Optional[Any]=None   ,							_lowercase  :Dict=None   ,							_lowercase  :List[str]=None   ,							_lowercase  :Tuple=""   ,							):






     '''simple docstring'''





     super().__init__()
     lowercase__			       =  Path(SCREAMING_SNAKE_CASE_ ).joinpath(type_path + ".source" )
     lowercase__			       =  Path(SCREAMING_SNAKE_CASE_ ).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  :List[str] ):






     '''simple docstring'''





     return len(self.src_lens )







  def __getitem__(      self  :str   ,							_lowercase  :Union[str, Any] ):






     '''simple docstring'''





     lowercase__			       =  index + 1  # linecache starts at 1
     lowercase__			       =  self.prefix + linecache.getline(str(self.src_file )   ,							SCREAMING_SNAKE_CASE_ ).rstrip("\n" )
     lowercase__			       =  linecache.getline(str(self.tgt_file )   ,							SCREAMING_SNAKE_CASE_ ).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   ,							SCREAMING_SNAKE_CASE_ ):
        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   ,							SCREAMING_SNAKE_CASE_ ) else self.tokenizer
     )
     lowercase__			       =  self.tokenizer.generator if isinstance(self.tokenizer   ,							SCREAMING_SNAKE_CASE_ ) else self.tokenizer

     lowercase__			       =  encode_line(SCREAMING_SNAKE_CASE_   ,							SCREAMING_SNAKE_CASE_   ,							self.max_source_length   ,							"right" )
     lowercase__			       =  encode_line(SCREAMING_SNAKE_CASE_   ,							SCREAMING_SNAKE_CASE_   ,							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					(      _lowercase  :str ):






     '''simple docstring'''





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







  def   UpperCAmelCase					(      self  :Optional[Any]   ,							_lowercase  :List[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   ,							SCREAMING_SNAKE_CASE_ )
         else self.tokenizer.pad_token_id
     )
     lowercase__			       =  (
         self.tokenizer.question_encoder.pad_token_id
         if isinstance(self.tokenizer   ,							SCREAMING_SNAKE_CASE_ )
         else self.tokenizer.pad_token_id
     )
     lowercase__			       =  trim_batch(SCREAMING_SNAKE_CASE_   ,							SCREAMING_SNAKE_CASE_ )
     lowercase__			       =  trim_batch(SCREAMING_SNAKE_CASE_   ,							SCREAMING_SNAKE_CASE_   ,							attention_mask=SCREAMING_SNAKE_CASE_ )
     lowercase__			       =  {
         'input_ids': source_ids,
         'attention_mask': source_mask,
         'decoder_input_ids': y,
     }
     return batch
_snake_case           =			getLogger(__name__)


def _A       (   __magic_name__	):
   return list(itertools.chain.from_iterable(snake_case__	)	)


def _A       (   __magic_name__	):
   lowercase__			       =  get_git_info()
   save_json(snake_case__  , os.path.join(snake_case__  , "git_log.json"	)	)


def _A       (   __magic_name__  , __magic_name__  , __magic_name__=4  , **__magic_name__	):
   with open(snake_case__  , "w"	) as f:
      json.dump(snake_case__  , snake_case__  , indent=snake_case__  , **snake_case__	)


def _A       (   __magic_name__	):
   with open(snake_case__	) as f:
      return json.load(snake_case__	)


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


def _A       (   __magic_name__  , __magic_name__	):
   return list(map(snake_case__  , snake_case__	)	)


def _A       (   __magic_name__  , __magic_name__	):
   with open(snake_case__  , "wb"	) as f:
      return pickle.dump(snake_case__  , snake_case__	)


def _A       (   __magic_name__	):

   def remove_articles(__magic_name__	):
      return re.sub(R"\b(a|an|the)\b"  , " "  , snake_case__	)

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

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

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

   return white_space_fix(remove_articles(remove_punc(lower(snake_case__	)	)	)	)


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


def _A       (   __magic_name__  , __magic_name__	):
   return normalize_answer(snake_case__	) == normalize_answer(snake_case__	)


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


def _A       (   __magic_name__	):
   return model_prefix.startswith("rag"	)







def _A       (   __magic_name__  , __magic_name__  , __magic_name__	):
   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(snake_case__  , snake_case__  , snake_case__	):
         if not hasattr(snake_case__  , snake_case__	) and not hasattr(snake_case__  , equivalent_param[p]	):
            logger.info("config doesn\'t have a `{}` attribute".format(snake_case__	)	)
            delattr(snake_case__  , snake_case__	)
            continue
         lowercase__			       =  p if hasattr(snake_case__  , snake_case__	) else equivalent_param[p]
         setattr(snake_case__  , snake_case__  , getattr(snake_case__  , snake_case__	)	)
         delattr(snake_case__  , snake_case__	)
   return hparams, config













from itertools import count


def _A       (   __magic_name__ = 50	):
   lowercase__			       =  [1] * min_block_length

   for n in count(__magic_name__	):
      fill_count_functions.append(1	)

      for block_length in range(__magic_name__  , n + 1	):
         for block_start in range(n - block_length	):
            fill_count_functions[n] += fill_count_functions[
                n - block_start - block_length - 1
            ]

         fill_count_functions[n] += 1

      if fill_count_functions[n] > 100_0000:
         break

   return n


if __name__ == "__main__":
  print(F"""{solution() = }""")






