


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_(				_A   :List[Any]				,     _A   :Optional[int]				,     _A   :Tuple				,     _A   :List[Any]				,     _A   :Tuple=True				,     _A   :Any="pt"  )->		List[Any]:
   UpperCamelCase__					=       {'add_prefix_space': True} if isinstance(_A				,     _A  ) and not line.startswith(" "  ) else {}
   UpperCamelCase__					=       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        UpperCamelCase_(				_A   :List[Any]				,     _A   :List[Any]				,     _A   :Dict=None				,     )->		List[str]:
   UpperCamelCase__					=       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        lowerCamelCase__	(							snake_case__      ):






   """simple docstring"""






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

      '''simple docstring'''


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




   def __len__(							self     ):

      '''simple docstring'''


      return len(self.src_lens     )




   def __getitem__(							self      ,						snake_case     ):

      '''simple docstring'''


      UpperCamelCase__					=       index + 1  # linecache starts at 1
      UpperCamelCase__					=       self.prefix + linecache.getline(str(self.src_file     )      ,						_A     ).rstrip("\n"     )
      UpperCamelCase__					=       linecache.getline(str(self.tgt_file     )      ,						_A     ).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      ,						_A     ):
         source_line += self.tokenizer.eos_token
         tgt_line += self.tokenizer.eos_token

      # Pad source and target to the right
      UpperCamelCase__					=       (
          self.tokenizer.question_encoder if isinstance(self.tokenizer      ,						_A     ) else self.tokenizer
      )
      UpperCamelCase__					=       self.tokenizer.generator if isinstance(self.tokenizer      ,						_A     ) else self.tokenizer

      UpperCamelCase__					=       encode_line(_A      ,						_A      ,						self.max_source_length      ,						"right"     )
      UpperCamelCase__					=       encode_line(_A      ,						_A      ,						self.max_target_length      ,						"right"     )

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




   @staticmethod
   def 				snake_case__				(							snake_case     ):

      '''simple docstring'''


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







   def 				snake_case__				(							self      ,						snake_case     ):

      '''simple docstring'''


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



__UpperCamelCase    		=       getLogger(__name__)
def        UpperCamelCase_(				_A   :List[str]  )->		Any:
   return list(itertools.chain.from_iterable(_A  )  )
def        UpperCamelCase_(				_A   :List[Any]  )->		None:
   UpperCamelCase__					=       get_git_info()
   save_json(_A				,     os.path.join(_A				,     "git_log.json"  )  )
def        UpperCamelCase_(				_A   :int				,     _A   :Dict				,     _A   :Optional[int]=4				,     **_A   :str  )->		str:
   with open(_A				,     "w"  ) as f:
      json.dump(_A				,     _A				,     indent=_A				,     **_A  )
def        UpperCamelCase_(				_A   :Tuple  )->		str:
   with open(_A  ) as f:
      return json.load(_A  )
def        UpperCamelCase_(				)->		Union[str, Any]:
   UpperCamelCase__					=       git.Repo(search_parent_directories=_A  )
   UpperCamelCase__					=       {
       '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        UpperCamelCase_(				_A   :List[Any]				,     _A   :Dict  )->		List:
   return list(map(_A				,     _A  )  )
def        UpperCamelCase_(				_A   :List[str]				,     _A   :Dict  )->		Dict:
   with open(_A				,     "wb"  ) as f:
      return pickle.dump(_A				,     _A  )
def        UpperCamelCase_(				_A   :Union[str, Any]  )->		str:

   def remove_articles(_A   :Union[str, Any]  ):
      return re.sub(r"\b(a|an|the)\b"				,     " "				,     _A  )

   def white_space_fix(_A   :Optional[int]  ):
      return " ".join(text.split()  )

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

   def lower(_A   :List[Any]  ):
      return text.lower()

   return white_space_fix(remove_articles(remove_punc(lower(_A  )  )  )  )
def        UpperCamelCase_(				_A   :Optional[int]				,     _A   :Any  )->		Optional[int]:
   UpperCamelCase__					=       normalize_answer(_A  ).split()
   UpperCamelCase__					=       normalize_answer(_A  ).split()
   UpperCamelCase__					=       Counter(_A  ) & Counter(_A  )
   UpperCamelCase__					=       sum(common.values()  )
   if num_same == 0:
      return 0
   UpperCamelCase__					=       1.0 * num_same / len(_A  )
   UpperCamelCase__					=       1.0 * num_same / len(_A  )
   UpperCamelCase__					=       (2 * precision * recall) / (precision + recall)
   return fa
def        UpperCamelCase_(				_A   :List[Any]				,     _A   :Any  )->		str:
   return normalize_answer(_A  ) == normalize_answer(_A  )
def        UpperCamelCase_(				_A   :int				,     _A   :str  )->		Dict:
   assert len(_A  ) == len(_A  )
   UpperCamelCase__					=       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        UpperCamelCase_(				_A   :str  )->		List[Any]:
   return model_prefix.startswith("rag"  )







def        UpperCamelCase_(				_A   :str				,     _A   :Optional[int]				,     _A   :Optional[int]  )->		Dict:
   UpperCamelCase__					=       {p: p for p in extra_params}
   # T5 models don't have `dropout` param, they have `dropout_rate` instead
   UpperCamelCase__					=       '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
         UpperCamelCase__					=       p if hasattr(_A				,     _A  ) else equivalent_param[p]
         setattr(_A				,     _A				,     getattr(_A				,     _A  )  )
         delattr(_A				,     _A  )
   return hparams, config






def        UpperCamelCase_(				_A   :str  )->		str:
			UpperCamelCase__					=       ""
			for ch in key:
						if ch == " " or ch not in key_no_dups and ch.isalpha():
									key_no_dups += ch
			return key_no_dups
def        UpperCamelCase_(				_A   :str  )->		dict[str, str]:
			UpperCamelCase__					=       [chr(i + 65  ) for i in range(26  )]
			# Remove duplicate characters from key
			UpperCamelCase__					=       remove_duplicates(key.upper()  )
			UpperCamelCase__					=       len(_A  )
			# First fill cipher with key characters
			UpperCamelCase__					=       {alphabet[i]: char for i, char in enumerate(_A  )}
			# Then map remaining characters in alphabet to
			# the alphabet from the beginning
			for i in range(len(_A  )				,     26  ):
						UpperCamelCase__					=       alphabet[i - offset]
						# Ensure we are not mapping letters to letters previously mapped
						while char in key:
									offset -= 1
									UpperCamelCase__					=       alphabet[i - offset]
						UpperCamelCase__					=       char
			return cipher_alphabet
def        UpperCamelCase_(				_A   :str				,     _A   :dict[str, str]  )->		str:
			return "".join(cipher_map.get(_A				,     _A  ) for ch in message.upper()  )
def        UpperCamelCase_(				_A   :str				,     _A   :dict[str, str]  )->		str:
			UpperCamelCase__					=       {v: k for k, v in cipher_map.items()}
			return "".join(rev_cipher_map.get(_A				,     _A  ) for ch in message.upper()  )
def        UpperCamelCase_(				)->		None:
			UpperCamelCase__					=       input("Enter message to encode or decode: "  ).strip()
			UpperCamelCase__					=       input("Enter keyword: "  ).strip()
			UpperCamelCase__					=       input("Encipher or decipher? E/D:"  ).strip()[0].lower()
			try:
						UpperCamelCase__					=       {"e": encipher, "d": decipher}[option]
			except KeyError:
						raise KeyError("invalid input option"  )
			UpperCamelCase__					=       create_cipher_map(_A  )
			print(func(_A				,     _A  )  )


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						main()


