


"""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  (  _snake_case :	str       ,      _snake_case :	List[Any]       ,      _snake_case :	List[Any]       ,      _snake_case :	List[Any]       ,      _snake_case :	Optional[int]=True       ,      _snake_case :	str="pt"	):
      lowerCAmelCase    :		int				=      {'''add_prefix_space''': True} if isinstance(_snake_case       ,      _snake_case	) and not line.startswith(''' '''	) else {}
      lowerCAmelCase    :		str				=      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    _snake_case  (  _snake_case :	Any       ,      _snake_case :	Optional[Any]       ,      _snake_case :	str=None       ,      ):
      lowerCAmelCase    :		Tuple				=      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 						snake_case_(				a__	):






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






     def __len__(		self     :    List[str] ):
           return len(self.src_lens )






     def __getitem__(		self     :    Any    , UpperCamelCase_     :    List[str] ):
           lowerCAmelCase    :		int				=      index + 1  # linecache starts at 1
           lowerCAmelCase    :		List[Any]				=      self.prefix + linecache.getline(str(self.src_file )    , UpperCamelCase_ ).rstrip('''\n''' )
           lowerCAmelCase    :		Tuple				=      linecache.getline(str(self.tgt_file )    , UpperCamelCase_ ).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    , UpperCamelCase_ ):
                 source_line += self.tokenizer.eos_token
                 tgt_line += self.tokenizer.eos_token

           # Pad source and target to the right
           lowerCAmelCase    :		List[Any]				=      (
               self.tokenizer.question_encoder if isinstance(self.tokenizer    , UpperCamelCase_ ) else self.tokenizer
           )
           lowerCAmelCase    :		Tuple				=      self.tokenizer.generator if isinstance(self.tokenizer    , UpperCamelCase_ ) else self.tokenizer

           lowerCAmelCase    :		Optional[Any]				=      encode_line(UpperCamelCase_    , UpperCamelCase_    , self.max_source_length    , '''right''' )
           lowerCAmelCase    :		Optional[Any]				=      encode_line(UpperCamelCase_    , UpperCamelCase_    , self.max_target_length    , '''right''' )

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






     @staticmethod
     def    lowerCamelCase__   (		UpperCamelCase_     :    int ):
           return [len(UpperCamelCase_ ) for x in Path(UpperCamelCase_ ).open().readlines()]






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



snake_case__						:   Dict			 = getLogger(__name__)


def    _snake_case  (  _snake_case :	List[List]	):
      return list(itertools.chain.from_iterable(_snake_case	)	)


def    _snake_case  (  _snake_case :	str	):
      lowerCAmelCase    :		Tuple				=      get_git_info()
      save_json(_snake_case       ,      os.path.join(_snake_case       ,      '''git_log.json'''	)	)


def    _snake_case  (  _snake_case :	Any       ,      _snake_case :	Tuple       ,      _snake_case :	List[Any]=4       ,      **_snake_case :	Optional[int]	):
      with open(_snake_case       ,      '''w'''	) as f:
            json.dump(_snake_case       ,      _snake_case       ,      indent=_snake_case       ,      **_snake_case	)


def    _snake_case  (  _snake_case :	Tuple	):
      with open(_snake_case	) as f:
            return json.load(_snake_case	)


def    _snake_case  (  ):
      lowerCAmelCase    :		Dict				=      git.Repo(search_parent_directories=_snake_case	)
      lowerCAmelCase    :		Dict				=      {
          '''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    _snake_case  (  _snake_case :	Callable       ,      _snake_case :	Iterable	):
      return list(map(_snake_case       ,      _snake_case	)	)


def    _snake_case  (  _snake_case :	str       ,      _snake_case :	Tuple	):
      with open(_snake_case       ,      '''wb'''	) as f:
            return pickle.dump(_snake_case       ,      _snake_case	)


def    _snake_case  (  _snake_case :	Any	):

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

      def white_space_fix(_snake_case :	int	):
            return " ".join(text.split()	)

      def remove_punc(_snake_case :	str	):
            lowerCAmelCase    :		Optional[Any]				=      set(string.punctuation	)
            return "".join(ch for ch in text if ch not in exclude	)

      def lower(_snake_case :	Dict	):
            return text.lower()

      return white_space_fix(remove_articles(remove_punc(lower(_snake_case	)	)	)	)


def    _snake_case  (  _snake_case :	str       ,      _snake_case :	List[Any]	):
      lowerCAmelCase    :		str				=      normalize_answer(_snake_case	).split()
      lowerCAmelCase    :		Union[str, Any]				=      normalize_answer(_snake_case	).split()
      lowerCAmelCase    :		str				=      Counter(_snake_case	) & Counter(_snake_case	)
      lowerCAmelCase    :		Tuple				=      sum(common.values()	)
      if num_same == 0:
            return 0
      lowerCAmelCase    :		Dict				=      1.0 * num_same / len(_snake_case	)
      lowerCAmelCase    :		str				=      1.0 * num_same / len(_snake_case	)
      lowerCAmelCase    :		List[Any]				=      (2 * precision * recall) / (precision + recall)
      return fa


def    _snake_case  (  _snake_case :	str       ,      _snake_case :	List[str]	):
      return normalize_answer(_snake_case	) == normalize_answer(_snake_case	)


def    _snake_case  (  _snake_case :	List[str]       ,      _snake_case :	List[str]	):
      assert len(_snake_case	) == len(_snake_case	)
      lowerCAmelCase    :		Dict				=      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    _snake_case  (  _snake_case :	str	):
      return model_prefix.startswith('''rag'''	)






def    _snake_case  (  _snake_case :	str       ,      _snake_case :	Any       ,      _snake_case :	str	):
      lowerCAmelCase    :		int				=      {p: p for p in extra_params}
      # T5 models don't have `dropout` param, they have `dropout_rate` instead
      lowerCAmelCase    :		List[str]				=      '''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
                  lowerCAmelCase    :		Dict				=      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




def 			UpperCamelCase					(    __lowerCamelCase     : str				,					__lowerCamelCase     : int    ):
       snake_case       :   list[list[str]]							=      [[] for _ in range(__lowerCamelCase    )]
       snake_case       :   int							=      key - 1

       if key <= 0:
              raise ValueError("Height of grid can't be 0 or negative"    )
       if key == 1 or len(__lowerCamelCase    ) <= key:
              return input_string

       for position, character in enumerate(__lowerCamelCase    ):
              snake_case       :   Any							=      position % (lowest * 2)  # puts it in bounds
              snake_case       :   Optional[int]							=      min(__lowerCamelCase				,					lowest * 2 - num    )  # creates zigzag pattern
              temp_grid[num].append(__lowerCamelCase    )
       snake_case       :   List[str]							=      ["".join(__lowerCamelCase    ) for row in temp_grid]
       snake_case       :   Tuple							=      "".join(__lowerCamelCase    )

       return output_string


def 			UpperCamelCase					(    __lowerCamelCase     : str				,					__lowerCamelCase     : int    ):
       snake_case       :   Dict							=      []
       snake_case       :   Union[str, Any]							=      key - 1

       if key <= 0:
              raise ValueError("Height of grid can't be 0 or negative"    )
       if key == 1:
              return input_string

       snake_case       :   list[list[str]]							=      [[] for _ in range(__lowerCamelCase    )]  # generates template
       for position in range(len(__lowerCamelCase    )    ):
              snake_case       :   List[str]							=      position % (lowest * 2)  # puts it in bounds
              snake_case       :   Optional[int]							=      min(__lowerCamelCase				,					lowest * 2 - num    )  # creates zigzag pattern
              temp_grid[num].append("*"    )

       snake_case       :   Tuple							=      0
       for row in temp_grid:  # fills in the characters
              snake_case       :   Union[str, Any]							=      input_string[counter : counter + len(__lowerCamelCase    )]
              grid.append(list(__lowerCamelCase    )    )
              counter += len(__lowerCamelCase    )

       snake_case       :   str							=      ""  # reads as zigzag
       for position in range(len(__lowerCamelCase    )    ):
              snake_case       :   Optional[int]							=      position % (lowest * 2)  # puts it in bounds
              snake_case       :   Tuple							=      min(__lowerCamelCase				,					lowest * 2 - num    )  # creates zigzag pattern
              output_string += grid[num][0]
              grid[num].pop(0    )
       return output_string


def 			UpperCamelCase					(    __lowerCamelCase     : str    ):
       snake_case       :   Tuple							=      {}
       for key_guess in range(1				,					len(__lowerCamelCase    )    ):  # tries every key
              snake_case       :   Any							=      decrypt(__lowerCamelCase				,					__lowerCamelCase    )
       return results


if __name__ == "__main__":
   import doctest

   doctest.testmod()





