
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[str]  ,   lowerCAmelCase__							:				List[str]  ,   lowerCAmelCase__							:				Optional[Any]  ,   lowerCAmelCase__							:				Optional[Any]  ,   lowerCAmelCase__							:				List[str]=True  ,   lowerCAmelCase__							:				Optional[Any]="pt"  ):
 __a :  List[Any]						=  {'''add_prefix_space''': True} if isinstance(lowerCAmelCase__  ,   lowerCAmelCase__  ) and not line.startswith(''' '''  ) else {}
 __a :  Dict						=  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__							:				Optional[Any]  ,   lowerCAmelCase__							:				Optional[Any]  ,   lowerCAmelCase__							:				Dict=None  ,   ):
 __a :  Tuple						=  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    ):
   def __init__(self :					List[str]					,				snake_case_ :					Dict					,				snake_case_ :					List[Any]					,				snake_case_ :					Any					,				snake_case_ :					Any					,				snake_case_ :					str="train"					,				snake_case_ :					Dict=None					,				snake_case_ :					List[str]=None					,				snake_case_ :					List[Any]=None					,				snake_case_ :					Dict=""					,				):
    super().__init__()
    __a :  Any						=  Path(snake_case_   ).joinpath(type_path + '''.source'''   )
    __a :  Any						=  Path(snake_case_   ).joinpath(type_path + '''.target'''   )
    __a :  List[str]						=  self.get_char_lens(self.src_file   )
    __a :  int						=  max_source_length
    __a :  Any						=  max_target_length
    assert min(self.src_lens   ) > 0, f"found empty line in {self.src_file}"
    __a :  List[str]						=  tokenizer
    __a :  int						=  prefix
    if n_obs is not None:
     __a :  Union[str, Any]						=  self.src_lens[:n_obs]
    __a :  List[Any]						=  src_lang
    __a :  Tuple						=  tgt_lang
   def __len__(self :					List[Any]   ):
    return len(self.src_lens   )
   def __getitem__(self :					Dict					,				snake_case_ :					Optional[int]   ):
    __a :  Tuple						=  index + 1  # linecache starts at 1
    __a :  List[Any]						=  self.prefix + linecache.getline(str(self.src_file   )					,				snake_case_   ).rstrip('''\n'''   )
    __a :  int						=  linecache.getline(str(self.tgt_file   )					,				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					,				snake_case_   ):
     source_line += self.tokenizer.eos_token
     tgt_line += self.tokenizer.eos_token

    # Pad source and target to the right
    __a :  int						=  (
        self.tokenizer.question_encoder if isinstance(self.tokenizer					,				snake_case_   ) else self.tokenizer
    )
    __a :  Any						=  self.tokenizer.generator if isinstance(self.tokenizer					,				snake_case_   ) else self.tokenizer

    __a :  List[str]						=  encode_line(snake_case_					,				snake_case_					,				self.max_source_length					,				'''right'''   )
    __a :  Tuple						=  encode_line(snake_case_					,				snake_case_					,				self.max_target_length					,				'''right'''   )

    __a :  Tuple						=  source_inputs['''input_ids'''].squeeze()
    __a :  Any						=  target_inputs['''input_ids'''].squeeze()
    __a :  Optional[Any]						=  source_inputs['''attention_mask'''].squeeze()
    return {
        "input_ids": source_ids,
        "attention_mask": src_mask,
        "decoder_input_ids": target_ids,
    }
   @staticmethod
   def       lowerCAmelCase			(snake_case_ :					Optional[Any]   ):
    return [len(snake_case_   ) for x in Path(snake_case_   ).open().readlines()]







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





lowercase__       =getLogger(__name__)




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




def    __UpperCamelCase     (				lowerCAmelCase__							:				str  ):
 __a :  Tuple						=  get_git_info()
 save_json(lowerCAmelCase__  ,   os.path.join(lowerCAmelCase__  ,   '''git_log.json'''  )  )




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




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




def    __UpperCamelCase     (				):
 __a :  Optional[int]						=  git.Repo(search_parent_directories=lowerCAmelCase__  )
 __a :  List[str]						=  {
     '''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  ):
 return list(map(lowerCAmelCase__  ,   lowerCAmelCase__  )  )




def    __UpperCamelCase     (				lowerCAmelCase__							:				Dict  ,   lowerCAmelCase__							:				Union[str, Any]  ):
 with open(lowerCAmelCase__  ,   '''wb'''  ) as f:
  return pickle.dump(lowerCAmelCase__  ,   lowerCAmelCase__  )




def    __UpperCamelCase     (				lowerCAmelCase__							:				Optional[int]  ):

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

 def white_space_fix(lowerCAmelCase__							:				Union[str, Any]  ):
  return " ".join(text.split()  )

 def remove_punc(lowerCAmelCase__							:				List[str]  ):
  __a :  Dict						=  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__							:				int  ,   lowerCAmelCase__							:				List[Any]  ):
 __a :  str						=  normalize_answer(lowerCAmelCase__  ).split()
 __a :  Dict						=  normalize_answer(lowerCAmelCase__  ).split()
 __a :  str						=  Counter(lowerCAmelCase__  ) & Counter(lowerCAmelCase__  )
 __a :  Optional[int]						=  sum(common.values()  )
 if num_same == 0:
  return 0
 __a :  Union[str, Any]						=  1.0 * num_same / len(lowerCAmelCase__  )
 __a :  Dict						=  1.0 * num_same / len(lowerCAmelCase__  )
 __a :  str						=  (2 * precision * recall) / (precision + recall)
 return fa




def    __UpperCamelCase     (				lowerCAmelCase__							:				List[str]  ,   lowerCAmelCase__							:				int  ):
 return normalize_answer(lowerCAmelCase__  ) == normalize_answer(lowerCAmelCase__  )




def    __UpperCamelCase     (				lowerCAmelCase__							:				List[str]  ,   lowerCAmelCase__							:				List[str]  ):
 assert len(lowerCAmelCase__  ) == len(lowerCAmelCase__  )
 __a :  List[str]						=  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__							:				List[str]  ):
 return model_prefix.startswith('''rag'''  )




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


def    __UpperCamelCase     (				lowerCAmelCase__							:				str  ):
 if n_term == "":
  return []
 __a :  list						=  []
 for temp in range(int(lowerCAmelCase__  )  ):
  series.append(f"1/{temp + 1}" if series else '''1'''  )
 return series


if __name__ == "__main__":
      lowercase__       =input('Enter the last number (nth term) of the Harmonic Series')
      print('Formula of Harmonic Series => 1+1/2+1/3 ..... 1/n')
      print(harmonic_series(nth_term))
