






"""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 					lowerCAmelCase				(    __UpperCamelCase		,       __UpperCamelCase		,       __UpperCamelCase		,       __UpperCamelCase		,       __UpperCamelCase=True		,       __UpperCamelCase="pt" ):




  """simple docstring"""







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



def 					lowerCAmelCase				(    __UpperCamelCase		,       __UpperCamelCase		,       __UpperCamelCase=None		,       ):




  """simple docstring"""







  __A									= input_ids.ne(__UpperCamelCase ).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 					snake_case		(							_lowerCAmelCase						):


   '''simple docstring'''

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

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


   def __len__(	self :     Optional[Any]  ):

     '''simple docstring'''
     return len(self.src_lens  )


   def __getitem__(	self :     List[str],       _lowerCamelCase :     Dict  ):

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

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

     __A									= encode_line(_lowerCamelCase,       _lowerCamelCase,       self.max_source_length,       '''right'''  )
     __A									= encode_line(_lowerCamelCase,       _lowerCamelCase,       self.max_target_length,       '''right'''  )

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


   @staticmethod
   def 				_SCREAMING_SNAKE_CASE				(	_lowerCamelCase :     Any  ):

     '''simple docstring'''
     return [len(_lowerCamelCase  ) for x in Path(_lowerCamelCase  ).open().readlines()]






   def 				_SCREAMING_SNAKE_CASE				(	self :     Tuple,       _lowerCamelCase :     int  ):

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





lowercase_				     =     getLogger(__name__)



def 					lowerCAmelCase				(    __UpperCamelCase ):




  """simple docstring"""







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



def 					lowerCAmelCase				(    __UpperCamelCase ):




  """simple docstring"""







  __A									= get_git_info()
  save_json(__UpperCamelCase		,       os.path.join(__UpperCamelCase		,       '''git_log.json''' ) )



def 					lowerCAmelCase				(    __UpperCamelCase		,       __UpperCamelCase		,       __UpperCamelCase=4		,       **__UpperCamelCase ):




  """simple docstring"""







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



def 					lowerCAmelCase				(    __UpperCamelCase ):




  """simple docstring"""







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



def 					lowerCAmelCase				(    ):




  """simple docstring"""







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



def 					lowerCAmelCase				(    __UpperCamelCase		,       __UpperCamelCase ):




  """simple docstring"""







  return list(map(__UpperCamelCase		,       __UpperCamelCase ) )



def 					lowerCAmelCase				(    __UpperCamelCase		,       __UpperCamelCase ):




  """simple docstring"""







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



def 					lowerCAmelCase				(    __UpperCamelCase ):




  """simple docstring"""







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

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

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

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

  return white_space_fix(remove_articles(remove_punc(lower(__UpperCamelCase ) ) ) )



def 					lowerCAmelCase				(    __UpperCamelCase		,       __UpperCamelCase ):




  """simple docstring"""







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



def 					lowerCAmelCase				(    __UpperCamelCase		,       __UpperCamelCase ):




  """simple docstring"""







  return normalize_answer(__UpperCamelCase ) == normalize_answer(__UpperCamelCase )



def 					lowerCAmelCase				(    __UpperCamelCase		,       __UpperCamelCase ):




  """simple docstring"""







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



def 					lowerCAmelCase				(    __UpperCamelCase ):




  """simple docstring"""







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





def 					lowerCAmelCase				(    __UpperCamelCase		,       __UpperCamelCase		,       __UpperCamelCase ):




  """simple docstring"""







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












"""simple docstring"""


from __future__ import annotations


class 					snake_case		:


   '''simple docstring'''

   def __init__(	self :     int,       _lowerCamelCase :     List[Any]=None  ):

     '''simple docstring'''
     __A									= data
     __A									= None






   def __repr__(	self :     Union[str, Any]  ):

     '''simple docstring'''
     __A									= []
     __A									= self
     while temp:
       string_rep.append(f'{temp.data}'  )
       __A									= temp.next
     return "->".join(_lowerCamelCase  )





def 					lowerCAmelCase				(    __UpperCamelCase ):




  """simple docstring"""







  if not elements_list:
    raise Exception('''The Elements List is empty''' )

  __A									= __A									= Node(elements_list[0] )
  for i in range(1		,       len(__UpperCamelCase ) ):
    __A									= Node(elements_list[i] )
    __A									= current.next
  return head



def 					lowerCAmelCase				(    __UpperCamelCase ):




  """simple docstring"""







  if head_node is not None and isinstance(__UpperCamelCase		,       __UpperCamelCase ):
    print_reverse(head_node.next )
    print(head_node.data )



def 					lowerCAmelCase				(    ):




  """simple docstring"""







  from doctest import testmod

  testmod()

  __A									= make_linked_list([1_4, 5_2, 1_4, 1_2, 4_3] )
  print('''Linked List:''' )
  print(__UpperCamelCase )
  print('''Elements in Reverse:''' )
  print_reverse(__UpperCamelCase )


if __name__ == "__main__":
       main()




