




'''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   lowercase__(			__UpperCamelCase:					Dict      ,__UpperCamelCase:					Optional[int]      ,__UpperCamelCase:					List[str]      ,__UpperCamelCase:					int      ,__UpperCamelCase:					Optional[Any]=True      ,__UpperCamelCase:					Dict="pt"    ):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      Optional[int]    					=						{'add_prefix_space': True} if isinstance(__UpperCamelCase      ,__UpperCamelCase    ) and not line.startswith(' '    ) else {}
      SCREAMING_SNAKE_CASE   :      Any    					=						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   lowercase__(			__UpperCamelCase:					Optional[int]      ,__UpperCamelCase:					str      ,__UpperCamelCase:					List[str]=None      ,):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						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 							_a				(			SCREAMING_SNAKE_CASE ):





       '''simple docstring'''






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







             '''simple docstring'''







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







       def __len__(      self  ):







             '''simple docstring'''







             return len(self.src_lens  )







       def __getitem__(      self,							A  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      str    					=						index + 1  # linecache starts at 1
             SCREAMING_SNAKE_CASE   :      List[str]    					=						self.prefix + linecache.getline(str(self.src_file  ),							A  ).rstrip('\n'  )
             SCREAMING_SNAKE_CASE   :      Tuple    					=						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
             SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						(
                 self.tokenizer.question_encoder if isinstance(self.tokenizer,							A  ) else self.tokenizer
             )
             SCREAMING_SNAKE_CASE   :      str    					=						self.tokenizer.generator if isinstance(self.tokenizer,							A  ) else self.tokenizer

             SCREAMING_SNAKE_CASE   :      int    					=						encode_line(A,							A,							self.max_source_length,							'right'  )
             SCREAMING_SNAKE_CASE   :      List[str]    					=						encode_line(A,							A,							self.max_target_length,							'right'  )

             SCREAMING_SNAKE_CASE   :      Tuple    					=						source_inputs['input_ids'].squeeze()
             SCREAMING_SNAKE_CASE   :      Dict    					=						target_inputs['input_ids'].squeeze()
             SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						source_inputs['attention_mask'].squeeze()
             return {
                 "input_ids": source_ids,
                 "attention_mask": src_mask,
                 "decoder_input_ids": target_ids,
             }







       @staticmethod
       def        UpperCamelCase_							(      A  ):







             '''simple docstring'''







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







       def        UpperCamelCase_							(      self,							A  ):







             '''simple docstring'''







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

UpperCamelCase_    	=				getLogger(__name__)




def   lowercase__(			__UpperCamelCase:					List[List]    ):

      """simple docstring"""






      return list(itertools.chain.from_iterable(__UpperCamelCase    )    )




def   lowercase__(			__UpperCamelCase:					str    ):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      Tuple    					=						get_git_info()
      save_json(__UpperCamelCase      ,os.path.join(__UpperCamelCase      ,'git_log.json'    )    )




def   lowercase__(			__UpperCamelCase:					Union[str, Any]      ,__UpperCamelCase:					Optional[int]      ,__UpperCamelCase:					Dict=4      ,**__UpperCamelCase:					str    ):

      """simple docstring"""






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




def   lowercase__(			__UpperCamelCase:					List[str]    ):

      """simple docstring"""






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




def   lowercase__(			):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      int    					=						git.Repo(search_parent_directories=__UpperCamelCase    )
      SCREAMING_SNAKE_CASE   :      Dict    					=						{
          '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   lowercase__(			__UpperCamelCase:					Callable      ,__UpperCamelCase:					Iterable    ):

      """simple docstring"""






      return list(map(__UpperCamelCase      ,__UpperCamelCase    )    )




def   lowercase__(			__UpperCamelCase:					str      ,__UpperCamelCase:					Dict    ):

      """simple docstring"""






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




def   lowercase__(			__UpperCamelCase:					Union[str, Any]    ):

      """simple docstring"""






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

      def white_space_fix(__UpperCamelCase:					Tuple    ):
            return " ".join(text.split()    )

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

      def lower(__UpperCamelCase:					int    ):
            return text.lower()

      return white_space_fix(remove_articles(remove_punc(lower(__UpperCamelCase    )    )    )    )




def   lowercase__(			__UpperCamelCase:					int      ,__UpperCamelCase:					Union[str, Any]    ):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						normalize_answer(__UpperCamelCase    ).split()
      SCREAMING_SNAKE_CASE   :      Any    					=						normalize_answer(__UpperCamelCase    ).split()
      SCREAMING_SNAKE_CASE   :      str    					=						Counter(__UpperCamelCase    ) & Counter(__UpperCamelCase    )
      SCREAMING_SNAKE_CASE   :      Optional[int]    					=						sum(common.values()    )
      if num_same == 0:
            return 0
      SCREAMING_SNAKE_CASE   :      List[str]    					=						1.0 * num_same / len(__UpperCamelCase    )
      SCREAMING_SNAKE_CASE   :      Dict    					=						1.0 * num_same / len(__UpperCamelCase    )
      SCREAMING_SNAKE_CASE   :      Any    					=						(2 * precision * recall) / (precision + recall)
      return fa




def   lowercase__(			__UpperCamelCase:					Any      ,__UpperCamelCase:					Any    ):

      """simple docstring"""






      return normalize_answer(__UpperCamelCase    ) == normalize_answer(__UpperCamelCase    )




def   lowercase__(			__UpperCamelCase:					List[str]      ,__UpperCamelCase:					List[str]    ):

      """simple docstring"""






      assert len(__UpperCamelCase    ) == len(__UpperCamelCase    )
      SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						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   lowercase__(			__UpperCamelCase:					Union[str, Any]    ):

      """simple docstring"""






      return model_prefix.startswith('rag'    )





def   lowercase__(			__UpperCamelCase:					Dict      ,__UpperCamelCase:					Dict      ,__UpperCamelCase:					Union[str, Any]    ):

      """simple docstring"""






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




# Function to print upper half of diamond (pyramid)

def  __snake_case							(	__magic_name__						):







				'''simple docstring'''


				for i in range(0		,    __magic_name__						):
								for _ in range(0		,    n - i - 1						):  # printing spaces
												print(" "		,    end=""						)
								for _ in range(0		,    i + 1						):  # printing stars
												print("* "		,    end=""						)
								print()

def  __snake_case							(	__magic_name__						):







				'''simple docstring'''


				for i in range(__magic_name__		,    0		,    -1						):
								for _ in range(__magic_name__		,    0		,    -1						):  # printing stars
												print("* "		,    end=""						)
								print()
								for _ in range(n - i + 1		,    0		,    -1						):  # printing spaces
												print(" "		,    end=""						)

def  __snake_case							(	__magic_name__						):







				'''simple docstring'''


				if n <= 0:
								print("       ...       ....        nothing printing :("						)
								return
				floyd(__magic_name__						)  # upper half
				reverse_floyd(__magic_name__						)  # lower half


if __name__ == "__main__":
						print(r"| /\ | |- |  |-  |--| |\  /| |-")
						print(r"|/  \| |- |_ |_  |__| | \/ | |_")
						_snake_case      :							Union[str, Any]     	=    1
						while K:
												_snake_case      :							Dict     	=    int(input("enter the number and , and see the magic : "))
												print()
												pretty_print(user_number)
												_snake_case      :							Tuple     	=    int(input("press 0 to exit... and 1 to continue..."))

						print("Good Bye...")
