



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 		a__      (		_UpperCamelCase      :			List[str]			,_UpperCamelCase      :			Dict			,_UpperCamelCase      :			Optional[Any]			,_UpperCamelCase      :			Any			,_UpperCamelCase      :			str=True			,_UpperCamelCase      :			List[str]="pt"				):
   __lowerCamelCase    				=     {'''add_prefix_space''': True} if isinstance(_UpperCamelCase			,_UpperCamelCase				) and not line.startswith(''' '''				) else {}
   __lowerCamelCase    				=     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 		a__      (		_UpperCamelCase      :			Optional[Any]			,_UpperCamelCase      :			Optional[int]			,_UpperCamelCase      :			Optional[int]=None			,):
   __lowerCamelCase    				=     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 			__lowerCAmelCase  (						lowerCAmelCase__ ):




 def __init__(    self						,					__UpperCAmelCase						,					__UpperCAmelCase						,					__UpperCAmelCase						,					__UpperCAmelCase						,					__UpperCAmelCase="train"						,					__UpperCAmelCase=None						,					__UpperCAmelCase=None						,					__UpperCAmelCase=None						,					__UpperCAmelCase=""						,					):



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




 def __len__(    self					):



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




 def __getitem__(    self						,					__UpperCAmelCase					):



    '''simple docstring'''
    __lowerCamelCase    				=     index + 1  # linecache starts at 1
    __lowerCamelCase    				=     self.prefix + linecache.getline(str(self.src_file					)						,					__UpperCAmelCase					).rstrip('''\n'''					)
    __lowerCamelCase    				=     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    				=     (
        self.tokenizer.question_encoder if isinstance(self.tokenizer						,					__UpperCAmelCase					) else self.tokenizer
    )
    __lowerCamelCase    				=     self.tokenizer.generator if isinstance(self.tokenizer						,					__UpperCAmelCase					) else self.tokenizer

    __lowerCamelCase    				=     encode_line(__UpperCAmelCase						,					__UpperCAmelCase						,					self.max_source_length						,					'''right'''					)
    __lowerCamelCase    				=     encode_line(__UpperCAmelCase						,					__UpperCAmelCase						,					self.max_target_length						,					'''right'''					)

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




 @staticmethod
 def 							lowerCamelCase   (    __UpperCAmelCase					):



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




 def 							lowerCamelCase   (    self						,					__UpperCAmelCase					):



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



a_								=       getLogger(__name__)





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





def 		a__      (		_UpperCamelCase      :			str				):
   __lowerCamelCase    				=     get_git_info()
   save_json(_UpperCamelCase			,os.path.join(_UpperCamelCase			,'''git_log.json'''				)				)





def 		a__      (		_UpperCamelCase      :			Union[str, Any]			,_UpperCamelCase      :			Any			,_UpperCamelCase      :			Union[str, Any]=4			,**_UpperCamelCase      :			int				):
   with open(_UpperCamelCase			,'''w'''				) as f:
      json.dump(_UpperCamelCase			,_UpperCamelCase			,indent=_UpperCamelCase			,**_UpperCamelCase				)





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





def 		a__      (		):
   __lowerCamelCase    				=     git.Repo(search_parent_directories=_UpperCamelCase				)
   __lowerCamelCase    				=     {
       '''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 		a__      (		_UpperCamelCase      :			Callable			,_UpperCamelCase      :			Iterable				):
   return list(map(_UpperCamelCase			,_UpperCamelCase				)				)





def 		a__      (		_UpperCamelCase      :			List[Any]			,_UpperCamelCase      :			Optional[Any]				):
   with open(_UpperCamelCase			,'''wb'''				) as f:
      return pickle.dump(_UpperCamelCase			,_UpperCamelCase				)





def 		a__      (		_UpperCamelCase      :			Dict				):

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

   def white_space_fix(_UpperCamelCase      :			str				):
      return " ".join(text.split()				)

   def remove_punc(_UpperCamelCase      :			List[str]				):
      __lowerCamelCase    				=     set(string.punctuation				)
      return "".join(ch for ch in text if ch not in exclude				)

   def lower(_UpperCamelCase      :			Tuple				):
      return text.lower()

   return white_space_fix(remove_articles(remove_punc(lower(_UpperCamelCase				)				)				)				)





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





def 		a__      (		_UpperCamelCase      :			Union[str, Any]			,_UpperCamelCase      :			Any				):
   return normalize_answer(_UpperCamelCase				) == normalize_answer(_UpperCamelCase				)





def 		a__      (		_UpperCamelCase      :			List[str]			,_UpperCamelCase      :			List[str]				):
   assert len(_UpperCamelCase				) == len(_UpperCamelCase				)
   __lowerCamelCase    				=     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 		a__      (		_UpperCamelCase      :			Tuple				):
   return model_prefix.startswith('''rag'''				)





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











from __future__ import annotations





def 		a__      (		_UpperCamelCase      :			list[float]				):
   if len(_UpperCamelCase				) < 2:
      raise ValueError('''Monogons and Digons are not polygons in the Euclidean space'''				)
   if any(i <= 0 for i in nums				):
      raise ValueError('''All values must be greater than 0'''				)
   __lowerCamelCase    				=     nums.copy()
   copy_nums.sort()
   return copy_nums[-1] < sum(copy_nums[:-1]				)


if __name__ == "__main__":
  import doctest

  doctest.testmod()






