



"""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_    (    lowerCAmelCase__      :				List[Any]    ,   lowerCAmelCase__      :				Optional[Any]    ,   lowerCAmelCase__      :				Union[str, Any]    ,   lowerCAmelCase__      :				int    ,   lowerCAmelCase__      :				List[Any]=True    ,   lowerCAmelCase__      :				Optional[Any]="pt"						)						->   Dict:

  """simple docstring"""




  lowerCAmelCase_   :				Optional[Any]								= {'add_prefix_space': True} if isinstance(lowerCAmelCase__    ,   lowerCAmelCase__						) and not line.startswith(' '						) else {}
  lowerCAmelCase_   :				Any								= 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 				UpperCamelCase_    (    lowerCAmelCase__      :				int    ,   lowerCAmelCase__      :				str    ,   lowerCAmelCase__      :				Optional[Any]=None    ,   )						->   Optional[Any]:

  """simple docstring"""




  lowerCAmelCase_   :				str								= 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__   (	lowercase_  ):




      """simple docstring"""




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



      def __len__(      self				:      Optional[int]       ):
        return len(self.src_lens       )



      def __getitem__(      self				:      List[str]    ,			SCREAMING_SNAKE_CASE_				:      List[str]       ):
        lowerCAmelCase_   :				Any								= index + 1  # linecache starts at 1
        lowerCAmelCase_   :				Dict								= self.prefix + linecache.getline(str(self.src_file       )    ,			SCREAMING_SNAKE_CASE_       ).rstrip('\n'       )
        lowerCAmelCase_   :				int								= 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
        lowerCAmelCase_   :				Any								= (
            self.tokenizer.question_encoder if isinstance(self.tokenizer    ,			SCREAMING_SNAKE_CASE_       ) else self.tokenizer
        )
        lowerCAmelCase_   :				Optional[int]								= self.tokenizer.generator if isinstance(self.tokenizer    ,			SCREAMING_SNAKE_CASE_       ) else self.tokenizer

        lowerCAmelCase_   :				Optional[Any]								= encode_line(SCREAMING_SNAKE_CASE_    ,			SCREAMING_SNAKE_CASE_    ,			self.max_source_length    ,			'right'       )
        lowerCAmelCase_   :				List[Any]								= encode_line(SCREAMING_SNAKE_CASE_    ,			SCREAMING_SNAKE_CASE_    ,			self.max_target_length    ,			'right'       )

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



      @staticmethod
      def      SCREAMING_SNAKE_CASE__ (      SCREAMING_SNAKE_CASE_				:      Any       ):
        return [len(SCREAMING_SNAKE_CASE_       ) for x in Path(SCREAMING_SNAKE_CASE_       ).open().readlines()]





      def      SCREAMING_SNAKE_CASE__ (      self				:      List[Any]    ,			SCREAMING_SNAKE_CASE_				:      Union[str, Any]       ):
        lowerCAmelCase_   :				Optional[int]								= torch.stack([x['input_ids'] for x in batch]       )
        lowerCAmelCase_   :				Dict								= torch.stack([x['attention_mask'] for x in batch]       )
        lowerCAmelCase_   :				str								= torch.stack([x['decoder_input_ids'] for x in batch]       )
        lowerCAmelCase_   :				Any								= (
            self.tokenizer.generator.pad_token_id
            if isinstance(self.tokenizer    ,			SCREAMING_SNAKE_CASE_       )
            else self.tokenizer.pad_token_id
        )
        lowerCAmelCase_   :				Dict								= (
            self.tokenizer.question_encoder.pad_token_id
            if isinstance(self.tokenizer    ,			SCREAMING_SNAKE_CASE_       )
            else self.tokenizer.pad_token_id
        )
        lowerCAmelCase_   :				int								= trim_batch(SCREAMING_SNAKE_CASE_    ,			SCREAMING_SNAKE_CASE_       )
        lowerCAmelCase_						,lowerCAmelCase_   :				Optional[int]								= trim_batch(SCREAMING_SNAKE_CASE_    ,			SCREAMING_SNAKE_CASE_    ,			attention_mask=SCREAMING_SNAKE_CASE_       )
        lowerCAmelCase_   :				List[str]								= {
            'input_ids': source_ids,
            'attention_mask': source_mask,
            'decoder_input_ids': y,
        }
        return batch




lowercase__		:				Optional[int]          =	getLogger(__name__)

def 				UpperCamelCase_    (    lowerCAmelCase__      :				List[List]						)						->   str:

  """simple docstring"""




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

def 				UpperCamelCase_    (    lowerCAmelCase__      :				str						)						->   None:

  """simple docstring"""




  lowerCAmelCase_   :				str								= get_git_info()
  save_json(lowerCAmelCase__    ,   os.path.join(lowerCAmelCase__    ,   'git_log.json'						)						)

def 				UpperCamelCase_    (    lowerCAmelCase__      :				List[Any]    ,   lowerCAmelCase__      :				Dict    ,   lowerCAmelCase__      :				Union[str, Any]=4    ,   **lowerCAmelCase__      :				Any						)						->   int:

  """simple docstring"""




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

def 				UpperCamelCase_    (    lowerCAmelCase__      :				str						)						->   Tuple:

  """simple docstring"""




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

def 				UpperCamelCase_    (    )						->   Union[str, Any]:

  """simple docstring"""




  lowerCAmelCase_   :				str								= git.Repo(search_parent_directories=lowerCAmelCase__						)
  lowerCAmelCase_   :				int								= {
      '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 				UpperCamelCase_    (    lowerCAmelCase__      :				Callable    ,   lowerCAmelCase__      :				Iterable						)						->   List:

  """simple docstring"""




  return list(map(lowerCAmelCase__    ,   lowerCAmelCase__						)						)

def 				UpperCamelCase_    (    lowerCAmelCase__      :				Tuple    ,   lowerCAmelCase__      :				str						)						->   Dict:

  """simple docstring"""




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

def 				UpperCamelCase_    (    lowerCAmelCase__      :				List[str]						)						->   str:

  """simple docstring"""




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

  def white_space_fix(lowerCAmelCase__      :				Tuple						):
    return " ".join(text.split()						)

  def remove_punc(lowerCAmelCase__      :				Dict						):
    lowerCAmelCase_   :				Any								= set(string.punctuation						)
    return "".join(ch for ch in text if ch not in exclude						)

  def lower(lowerCAmelCase__      :				str						):
    return text.lower()

  return white_space_fix(remove_articles(remove_punc(lower(lowerCAmelCase__						)						)						)						)

def 				UpperCamelCase_    (    lowerCAmelCase__      :				Any    ,   lowerCAmelCase__      :				Dict						)						->   Optional[Any]:

  """simple docstring"""




  lowerCAmelCase_   :				Optional[int]								= normalize_answer(lowerCAmelCase__						).split()
  lowerCAmelCase_   :				List[str]								= normalize_answer(lowerCAmelCase__						).split()
  lowerCAmelCase_   :				int								= Counter(lowerCAmelCase__						) & Counter(lowerCAmelCase__						)
  lowerCAmelCase_   :				Optional[Any]								= sum(common.values()						)
  if num_same == 0:
    return 0
  lowerCAmelCase_   :				Tuple								= 1.0 * num_same / len(lowerCAmelCase__						)
  lowerCAmelCase_   :				List[Any]								= 1.0 * num_same / len(lowerCAmelCase__						)
  lowerCAmelCase_   :				Any								= (2 * precision * recall) / (precision + recall)
  return fa

def 				UpperCamelCase_    (    lowerCAmelCase__      :				List[Any]    ,   lowerCAmelCase__      :				List[Any]						)						->   Optional[int]:

  """simple docstring"""




  return normalize_answer(lowerCAmelCase__						) == normalize_answer(lowerCAmelCase__						)

def 				UpperCamelCase_    (    lowerCAmelCase__      :				List[str]    ,   lowerCAmelCase__      :				List[str]						)						->   Dict:

  """simple docstring"""




  assert len(lowerCAmelCase__						) == len(lowerCAmelCase__						)
  lowerCAmelCase_   :				Optional[Any]								= 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 				UpperCamelCase_    (    lowerCAmelCase__      :				int						)						->   Optional[int]:

  """simple docstring"""




  return model_prefix.startswith('rag'						)

def 				UpperCamelCase_    (    lowerCAmelCase__      :				int    ,   lowerCAmelCase__      :				Dict    ,   lowerCAmelCase__      :				int						)						->   str:

  """simple docstring"""




  lowerCAmelCase_   :				Optional[Any]								= {p: p for p in extra_params}
  # T5 models don't have `dropout` param, they have `dropout_rate` instead
  lowerCAmelCase_   :				Union[str, Any]								= '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
      lowerCAmelCase_   :				Any								= p if hasattr(lowerCAmelCase__    ,   lowerCAmelCase__						) else equivalent_param[p]
      setattr(lowerCAmelCase__    ,   lowerCAmelCase__    ,   getattr(lowerCAmelCase__    ,   lowerCAmelCase__						)						)
      delattr(lowerCAmelCase__    ,   lowerCAmelCase__						)
  return hparams, config










"""simple docstring"""







import re

def 				UpperCamelCase_    (    lowerCAmelCase__      :				str						)						->   list:

  """simple docstring"""




  return [char.split() for char in re.split(R'[^ a-z A-Z 0-9 \s]'    ,   str_						)]

def 				UpperCamelCase_    (    lowerCAmelCase__      :				str						)						->   str:

  """simple docstring"""




  lowerCAmelCase_   :				str								= split_input(str_						)
  return "".join(
      [''.join([char.capitalize() for char in sub_str]						) for sub_str in string_split]						)

def 				UpperCamelCase_    (    lowerCAmelCase__      :				str    ,   lowerCAmelCase__      :				bool    ,   lowerCAmelCase__      :				str						)						->   str:

  """simple docstring"""




  try:
    lowerCAmelCase_   :				int								= split_input(lowerCAmelCase__						)
    if upper:
      lowerCAmelCase_   :				Optional[int]								= ''.join(
          [
              separator.join([char.upper() for char in sub_str]						)
              for sub_str in string_split
          ]						)
    else:
      lowerCAmelCase_   :				Any								= ''.join(
          [
              separator.join([char.lower() for char in sub_str]						)
              for sub_str in string_split
          ]						)
    return res_str
  except IndexError:
    return "not valid string"

def 				UpperCamelCase_    (    lowerCAmelCase__      :				str						)						->   str:

  """simple docstring"""




  return to_simple_case(lowerCAmelCase__						)

def 				UpperCamelCase_    (    lowerCAmelCase__      :				str						)						->   str:

  """simple docstring"""




  try:
    lowerCAmelCase_   :				Dict								= to_simple_case(lowerCAmelCase__						)
    return res_str[0].lower() + res_str[1:]
  except IndexError:
    return "not valid string"

def 				UpperCamelCase_    (    lowerCAmelCase__      :				str    ,   lowerCAmelCase__      :				bool						)						->   str:

  """simple docstring"""




  return to_complex_case(lowerCAmelCase__    ,   lowerCAmelCase__    ,   '_'						)

def 				UpperCamelCase_    (    lowerCAmelCase__      :				str    ,   lowerCAmelCase__      :				bool						)						->   str:

  """simple docstring"""




  return to_complex_case(lowerCAmelCase__    ,   lowerCAmelCase__    ,   '-'						)


if __name__ == "__main__":
     __import__("""doctest""").testmod()





