



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   _lowerCAmelCase   (						A__						,  A__						,  A__						,  A__						,  A__=True						,  A__="pt"	):
      lowercase__     =  {"""add_prefix_space""": True} if isinstance(lowerCamelCase_						,  lowerCamelCase_	) and not line.startswith(' '	) else {}
      lowercase__     =  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   _lowerCAmelCase   (						A__						,  A__						,  A__=None						,  ):
      lowercase__     =  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  :			str			,				lowerCAmelCase  :			Tuple			,				lowerCAmelCase  :			Tuple			,				lowerCAmelCase  :			List[str]			,				lowerCAmelCase  :			List[str]			,				lowerCAmelCase  :			List[str]="train"			,				lowerCAmelCase  :			List[str]=None			,				lowerCAmelCase  :			List[Any]=None			,				lowerCAmelCase  :			int=None			,				lowerCAmelCase  :			Union[str, Any]=""			,				)	->				Optional[Any]:




         """simple docstring"""

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


   def __len__(						self  :			List[Any])	->				Tuple:




         """simple docstring"""

         return len(self.src_lens)


   def __getitem__(						self  :			Union[str, Any]			,				lowerCAmelCase  :			Optional[Any])	->				str:




         """simple docstring"""

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

         lowercase__     =  encode_line(lowerCamelCase_			,				lowerCamelCase_			,				self.max_source_length			,				'right')
         lowercase__     =  encode_line(lowerCamelCase_			,				lowerCamelCase_			,				self.max_target_length			,				'right')

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


   @staticmethod
   def 			UpperCAmelCase		(						lowerCAmelCase  :			Dict)	->				List[str]:




         """simple docstring"""

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



   def 			UpperCAmelCase		(						self  :			Tuple			,				lowerCAmelCase  :			Any)	->				List[Any]:




         """simple docstring"""

         lowercase__     =  torch.stack([x['input_ids'] for x in batch])
         lowercase__     =  torch.stack([x['attention_mask'] for x in batch])
         lowercase__     =  torch.stack([x['decoder_input_ids'] for x in batch])
         lowercase__     =  (
             self.tokenizer.generator.pad_token_id
             if isinstance(self.tokenizer			,				lowerCamelCase_)
             else self.tokenizer.pad_token_id
         )
         lowercase__     =  (
             self.tokenizer.question_encoder.pad_token_id
             if isinstance(self.tokenizer			,				lowerCamelCase_)
             else self.tokenizer.pad_token_id
         )
         lowercase__     =  trim_batch(lowerCamelCase_			,				lowerCamelCase_)
         lowercase__     =  trim_batch(lowerCamelCase_			,				lowerCamelCase_			,				attention_mask=lowerCamelCase_)
         lowercase__     =  {
             """input_ids""": source_ids,
             """attention_mask""": source_mask,
             """decoder_input_ids""": y,
         }
         return batch
a__      :				str   	=			getLogger(__name__)

def   _lowerCAmelCase   (						A__	):
      return list(itertools.chain.from_iterable(lowerCamelCase_	)	)

def   _lowerCAmelCase   (						A__	):
      lowercase__     =  get_git_info()
      save_json(lowerCamelCase_						,  os.path.join(lowerCamelCase_						,  'git_log.json'	)	)

def   _lowerCAmelCase   (						A__						,  A__						,  A__=4						,  **A__	):



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

def   _lowerCAmelCase   (						A__	):



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

def   _lowerCAmelCase   (						):
      lowercase__     =  git.Repo(search_parent_directories=lowerCamelCase_	)
      lowercase__     =  {
          """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   _lowerCAmelCase   (						A__						,  A__	):
      return list(map(lowerCamelCase_						,  lowerCamelCase_	)	)

def   _lowerCAmelCase   (						A__						,  A__	):



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

def   _lowerCAmelCase   (						A__	):



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

      def white_space_fix(A__	):
            return " ".join(text.split()	)

      def remove_punc(A__	):
            lowercase__     =  set(string.punctuation	)
            return "".join(ch for ch in text if ch not in exclude	)

      def lower(A__	):
            return text.lower()

      return white_space_fix(remove_articles(remove_punc(lower(lowerCamelCase_	)	)	)	)

def   _lowerCAmelCase   (						A__						,  A__	):
      lowercase__     =  normalize_answer(lowerCamelCase_	).split()
      lowercase__     =  normalize_answer(lowerCamelCase_	).split()
      lowercase__     =  Counter(lowerCamelCase_	) & Counter(lowerCamelCase_	)
      lowercase__     =  sum(common.values()	)
      if num_same == 0:
            return 0
      lowercase__     =  1.0 * num_same / len(lowerCamelCase_	)
      lowercase__     =  1.0 * num_same / len(lowerCamelCase_	)
      lowercase__     =  (2 * precision * recall) / (precision + recall)
      return fa

def   _lowerCAmelCase   (						A__						,  A__	):
      return normalize_answer(lowerCamelCase_	) == normalize_answer(lowerCamelCase_	)

def   _lowerCAmelCase   (						A__						,  A__	):
      assert len(lowerCamelCase_	) == len(lowerCamelCase_	)
      lowercase__     =  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   _lowerCAmelCase   (						A__	):
      return model_prefix.startswith('rag'	)

def   _lowerCAmelCase   (						A__						,  A__						,  A__	):
      lowercase__     =  {p: p for p in extra_params}
      # T5 models don't have `dropout` param, they have `dropout_rate` instead
      lowercase__     =  """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
                  lowercase__     =  p if hasattr(lowerCamelCase_						,  lowerCamelCase_	) else equivalent_param[p]
                  setattr(lowerCamelCase_						,  lowerCamelCase_						,  getattr(lowerCamelCase_						,  lowerCamelCase_	)	)
                  delattr(lowerCamelCase_						,  lowerCamelCase_	)
      return hparams, config





def   _lowerCAmelCase   (						A__						,  A__						,  A__	):
      if principal <= 0:
            raise Exception('Principal borrowed must be > 0'	)
      if rate_per_annum < 0:
            raise Exception('Rate of interest must be >= 0'	)
      if years_to_repay <= 0 or not isinstance(A__						,  A__	):
            raise Exception('Years to repay must be an integer > 0'	)

      # Yearly rate is divided by 12 to get monthly rate
      lowercase__     =  rate_per_annum / 12

      # Years to repay is multiplied by 12 to get number of payments as payment is monthly
      lowercase__     =  years_to_repay * 12

      return (
          principal
          * rate_per_month
          * (1 + rate_per_month) ** number_of_payments
          / ((1 + rate_per_month) ** number_of_payments - 1)
      )


if __name__ == "__main__":
       import doctest

       doctest.testmod()
