"""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 			__UpperCAmelCase    (	lowercase      ,lowercase      ,lowercase      ,lowercase      ,lowercase=True      ,lowercase="pt"						):







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






def 			__UpperCAmelCase    (	lowercase      ,lowercase      ,lowercase=None      ,):







  """simple docstring"""
  _UpperCAmelCase         =					input_ids.ne(SCREAMING_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 				a (						__snake_case      ):


    def __init__(    self		:     Any      , __lowerCAmelCase		:     List[Any]      , __lowerCAmelCase		:     List[str]      , __lowerCAmelCase		:     Tuple      , __lowerCAmelCase		:     Any      , __lowerCAmelCase		:     Tuple="train"      , __lowerCAmelCase		:     Optional[int]=None      , __lowerCAmelCase		:     List[Any]=None      , __lowerCAmelCase		:     str=None      , __lowerCAmelCase		:     Any=""      , ):
      super().__init__()
      _UpperCAmelCase         =					Path(__lowerCAmelCase    ).joinpath(type_path + """.source"""    )
      _UpperCAmelCase         =					Path(__lowerCAmelCase    ).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		:     int    ):
      return len(self.src_lens    )


    def __getitem__(    self		:     Union[str, Any]      , __lowerCAmelCase		:     Optional[Any]    ):
      _UpperCAmelCase         =					index + 1  # linecache starts at 1
      _UpperCAmelCase         =					self.prefix + linecache.getline(str(self.src_file    )      , __lowerCAmelCase    ).rstrip("""\n"""    )
      _UpperCAmelCase         =					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
      _UpperCAmelCase         =					(
          self.tokenizer.question_encoder if isinstance(self.tokenizer      , __lowerCAmelCase    ) else self.tokenizer
      )
      _UpperCAmelCase         =					self.tokenizer.generator if isinstance(self.tokenizer      , __lowerCAmelCase    ) else self.tokenizer

      _UpperCAmelCase         =					encode_line(__lowerCAmelCase      , __lowerCAmelCase      , self.max_source_length      , """right"""    )
      _UpperCAmelCase         =					encode_line(__lowerCAmelCase      , __lowerCAmelCase      , 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    lowerCAmelCase_     (    __lowerCAmelCase		:     Dict    ):
      return [len(__lowerCAmelCase    ) for x in Path(__lowerCAmelCase    ).open().readlines()]


    def    lowerCAmelCase_     (    self		:     Optional[Any]      , __lowerCAmelCase		:     int    ):
      _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      , __lowerCAmelCase    )
          else self.tokenizer.pad_token_id
      )
      _UpperCAmelCase         =					(
          self.tokenizer.question_encoder.pad_token_id
          if isinstance(self.tokenizer      , __lowerCAmelCase    )
          else self.tokenizer.pad_token_id
      )
      _UpperCAmelCase         =					trim_batch(__lowerCAmelCase      , __lowerCAmelCase    )
      _UpperCAmelCase         =					trim_batch(__lowerCAmelCase      , __lowerCAmelCase      , attention_mask=__lowerCAmelCase    )
      _UpperCAmelCase         =					{
          'input_ids': source_ids,
          'attention_mask': source_mask,
          'decoder_input_ids': y,
      }
      return batch



UpperCAmelCase__     						=  getLogger(__name__)






def 			__UpperCAmelCase    (	lowercase						):







  """simple docstring"""
  return list(itertools.chain.from_iterable(SCREAMING_SNAKE_CASE_						)						)






def 			__UpperCAmelCase    (	lowercase						):







  """simple docstring"""
  _UpperCAmelCase         =					get_git_info()
  save_json(SCREAMING_SNAKE_CASE_      ,os.path.join(SCREAMING_SNAKE_CASE_      ,"""git_log.json"""						)						)






def 			__UpperCAmelCase    (	lowercase      ,lowercase      ,lowercase=4      ,**lowercase						):







  """simple docstring"""





  with open(SCREAMING_SNAKE_CASE_      ,"""w"""						) as f:
    json.dump(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_      ,indent=SCREAMING_SNAKE_CASE_      ,**SCREAMING_SNAKE_CASE_						)






def 			__UpperCAmelCase    (	lowercase						):







  """simple docstring"""





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






def 			__UpperCAmelCase    (	):







  """simple docstring"""
  _UpperCAmelCase         =					git.Repo(search_parent_directories=SCREAMING_SNAKE_CASE_						)
  _UpperCAmelCase         =					{
      'repo_id': str(SCREAMING_SNAKE_CASE_						),
      'repo_sha': str(repo.head.object.hexsha						),
      'repo_branch': str(repo.active_branch						),
      'hostname': str(socket.gethostname()						),
  }
  return repo_infos






def 			__UpperCAmelCase    (	lowercase      ,lowercase						):







  """simple docstring"""
  return list(map(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_						)						)






def 			__UpperCAmelCase    (	lowercase      ,lowercase						):







  """simple docstring"""





  with open(SCREAMING_SNAKE_CASE_      ,"""wb"""						) as f:
    return pickle.dump(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_						)






def 			__UpperCAmelCase    (	lowercase						):







  """simple docstring"""





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

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

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

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

  return white_space_fix(remove_articles(remove_punc(lower(SCREAMING_SNAKE_CASE_						)						)						)						)






def 			__UpperCAmelCase    (	lowercase      ,lowercase						):







  """simple docstring"""
  _UpperCAmelCase         =					normalize_answer(SCREAMING_SNAKE_CASE_						).split()
  _UpperCAmelCase         =					normalize_answer(SCREAMING_SNAKE_CASE_						).split()
  _UpperCAmelCase         =					Counter(SCREAMING_SNAKE_CASE_						) & Counter(SCREAMING_SNAKE_CASE_						)
  _UpperCAmelCase         =					sum(common.values()						)
  if num_same == 0:
    return 0
  _UpperCAmelCase         =					1.0 * num_same / len(SCREAMING_SNAKE_CASE_						)
  _UpperCAmelCase         =					1.0 * num_same / len(SCREAMING_SNAKE_CASE_						)
  _UpperCAmelCase         =					(2 * precision * recall) / (precision + recall)
  return fa






def 			__UpperCAmelCase    (	lowercase      ,lowercase						):







  """simple docstring"""
  return normalize_answer(SCREAMING_SNAKE_CASE_						) == normalize_answer(SCREAMING_SNAKE_CASE_						)






def 			__UpperCAmelCase    (	lowercase      ,lowercase						):







  """simple docstring"""
  assert len(SCREAMING_SNAKE_CASE_						) == len(SCREAMING_SNAKE_CASE_						)
  _UpperCAmelCase         =					0
  for hypo, pred in zip(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_						):
    em += exact_match_score(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_						)
  if len(SCREAMING_SNAKE_CASE_						) > 0:
    em /= len(SCREAMING_SNAKE_CASE_						)
  return {"em": em}






def 			__UpperCAmelCase    (	lowercase						):







  """simple docstring"""
  return model_prefix.startswith("""rag"""						)






def 			__UpperCAmelCase    (	lowercase      ,lowercase      ,lowercase						):







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



def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    str	,     SCREAMING_SNAKE_CASE_		:    str			):



     '''simple docstring'''





     if len(SCREAMING_SNAKE_CASE_			) != len(SCREAMING_SNAKE_CASE_			):
          raise ValueError('String lengths must match!'			)

     lowercase__    :   Union[str, Any]      =       0

     for chara, chara in zip(SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_			):
          if chara != chara:
               count += 1

     return count


if __name__ == "__main__":
       import doctest

       doctest.testmod()

