



"""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 			snake_case_    ( A_   :						Tuple,							A_   :						List[str],							A_   :						Optional[Any],							A_   :						Dict,							A_   :						Dict=True,							A_   :						int="pt"		):


       '''simple docstring'''





       _lowerCamelCase		:							str            =					{'''add_prefix_space''': True} if isinstance(A_,							A_		) and not line.startswith(''' '''		) else {}
       _lowerCamelCase		:							Union[str, Any]            =					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 			snake_case_    ( A_   :						Any,							A_   :						Optional[int],							A_   :						List[Any]=None,							):


       '''simple docstring'''





       _lowerCamelCase		:							Optional[int]            =					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 			__snake_case			(      _lowercase):




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






         """simple docstring"""






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




  def __len__(					self	:		int						):






         """simple docstring"""






         return len(self.src_lens						)




  def __getitem__(					self	:		Dict		,   __lowerCAmelCase	:		Optional[Any]						):






         """simple docstring"""






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

         _lowerCamelCase		:							List[str]            =					encode_line(__lowerCAmelCase		,   __lowerCAmelCase		,   self.max_source_length		,   '''right'''						)
         _lowerCamelCase		:							List[str]            =					encode_line(__lowerCAmelCase		,   __lowerCAmelCase		,   self.max_target_length		,   '''right'''						)

         _lowerCamelCase		:							Optional[Any]            =					source_inputs['''input_ids'''].squeeze()
         _lowerCamelCase		:							Union[str, Any]            =					target_inputs['''input_ids'''].squeeze()
         _lowerCamelCase		:							Any            =					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	:		str						):






         """simple docstring"""






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




  def 		SCREAMING_SNAKE_CASE							(					self	:		List[Any]		,   __lowerCAmelCase	:		Any						):






         """simple docstring"""






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


lowerCAmelCase__              =							getLogger(__name__)






def 			snake_case_    ( A_   :						List[List]		):


       '''simple docstring'''





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






def 			snake_case_    ( A_   :						str		):


       '''simple docstring'''





       _lowerCamelCase		:							Dict            =					get_git_info()
       save_json(A_,							os.path.join(A_,							'''git_log.json'''		)		)






def 			snake_case_    ( A_   :						str,							A_   :						Union[str, Any],							A_   :						int=4,							**A_   :						Optional[int]		):


       '''simple docstring'''





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






def 			snake_case_    ( A_   :						Any		):


       '''simple docstring'''





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






def 			snake_case_    ( ):


       '''simple docstring'''





       _lowerCamelCase		:							List[str]            =					git.Repo(search_parent_directories=A_		)
       _lowerCamelCase		:							str            =					{
           '''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 			snake_case_    ( A_   :						Callable,							A_   :						Iterable		):


       '''simple docstring'''





       return list(map(A_,							A_		)		)






def 			snake_case_    ( A_   :						str,							A_   :						Tuple		):


       '''simple docstring'''





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






def 			snake_case_    ( A_   :						List[str]		):


       '''simple docstring'''





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

       def white_space_fix(A_   :						Any		):
              return " ".join(text.split()		)

       def remove_punc(A_   :						List[Any]		):
              _lowerCamelCase		:							Any            =					set(string.punctuation		)
              return "".join(ch for ch in text if ch not in exclude		)

       def lower(A_   :						Optional[int]		):
              return text.lower()

       return white_space_fix(remove_articles(remove_punc(lower(A_		)		)		)		)






def 			snake_case_    ( A_   :						int,							A_   :						List[Any]		):


       '''simple docstring'''





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






def 			snake_case_    ( A_   :						Dict,							A_   :						str		):


       '''simple docstring'''





       return normalize_answer(A_		) == normalize_answer(A_		)






def 			snake_case_    ( A_   :						List[str],							A_   :						List[str]		):


       '''simple docstring'''





       assert len(A_		) == len(A_		)
       _lowerCamelCase		:							Optional[Any]            =					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 			snake_case_    ( A_   :						Optional[int]		):


       '''simple docstring'''





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







def 			snake_case_    ( A_   :						Dict,							A_   :						int,							A_   :						List[Any]		):


       '''simple docstring'''





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





def 						lowerCamelCase__      ( __A    :int	,__A    :int		):


       """simple docstring"""




       if a < 0 or b < 0:
              raise ValueError("""the value of both inputs must be positive"""		)

       __snake_case       	=							str(bin(__A		)		)[2:]  # remove the leading "0b"
       __snake_case       	=							str(bin(__A		)		)[2:]  # remove the leading "0b"

       __snake_case       	=							max(len(__A		)	,len(__A		)		)

       return "0b" + "".join(
           str(int(char_a == """1""" and char_b == """1"""		)		)
           for char_a, char_b in zip(a_binary.zfill(__A		)	,b_binary.zfill(__A		)		)		)


if __name__ == "__main__":
    import doctest

    doctest.testmod()

