'''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 	lowerCAmelCase_				(					snake_case_       : Optional[int]					,    snake_case_       : Any					,    snake_case_       : Any					,    snake_case_       : List[str]					,    snake_case_       : Dict=True					,    snake_case_       : List[Any]="pt"			)    ->      Dict:


     '''simple docstring'''




     UpperCAmelCase_           =   {"add_prefix_space": True} if isinstance(__lowerCamelCase					,    __lowerCamelCase			) and not line.startswith(" "			) else {}
     UpperCAmelCase_           =   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_				(					snake_case_       : List[str]					,    snake_case_       : Dict					,    snake_case_       : str=None					,    )    ->      int:


     '''simple docstring'''




     UpperCAmelCase_           =   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        __A      ( _lowerCAmelCase	):



    def __init__(self    :    Optional[int]   ,			__a    :    Any   ,			__a    :    Tuple   ,			__a    :    Union[str, Any]   ,			__a    :    Tuple   ,			__a    :    str="train"   ,			__a    :    Dict=None   ,			__a    :    Tuple=None   ,			__a    :    List[str]=None   ,			__a    :    int=""   ,			):
         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    :    Tuple ):
         return len(self.src_lens )



    def __getitem__(self    :    str   ,			__a    :    Dict ):
         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 					_lowercase						(__a    :    Union[str, Any] ):
         return [len(__a ) for x in Path(__a ).open().readlines()]






    def 					_lowercase						(self    :    str   ,			__a    :    List[Any] ):
         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




SCREAMING_SNAKE_CASE_:     List[str]  =getLogger(__name__)





def 	lowerCAmelCase_				(					snake_case_       : List[List]			)    ->      List[Any]:


     '''simple docstring'''




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





def 	lowerCAmelCase_				(					snake_case_       : str			)    ->      List[str]:


     '''simple docstring'''




     UpperCAmelCase_           =   get_git_info()
     save_json(__lowerCamelCase					,    os.path.join(__lowerCamelCase					,    "git_log.json"			)			)





def 	lowerCAmelCase_				(					snake_case_       : Any					,    snake_case_       : Any					,    snake_case_       : List[Any]=4					,    **snake_case_       : List[str]			)    ->      str:


     '''simple docstring'''




     with open(__lowerCamelCase					,    "w"			) as f:
          json.dump(__lowerCamelCase					,    __lowerCamelCase					,    indent=__lowerCamelCase					,    **__lowerCamelCase			)





def 	lowerCAmelCase_				(					snake_case_       : Tuple			)    ->      Tuple:


     '''simple docstring'''




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





def 	lowerCAmelCase_				(					)    ->      List[Any]:


     '''simple docstring'''




     UpperCAmelCase_           =   git.Repo(search_parent_directories=__lowerCamelCase			)
     UpperCAmelCase_           =   {
         "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_				(					snake_case_       : Callable					,    snake_case_       : Iterable			)    ->      Optional[Any]:


     '''simple docstring'''




     return list(map(__lowerCamelCase					,    __lowerCamelCase			)			)





def 	lowerCAmelCase_				(					snake_case_       : Union[str, Any]					,    snake_case_       : List[str]			)    ->      int:


     '''simple docstring'''




     with open(__lowerCamelCase					,    "wb"			) as f:
          return pickle.dump(__lowerCamelCase					,    __lowerCamelCase			)





def 	lowerCAmelCase_				(					snake_case_       : str			)    ->      int:


     '''simple docstring'''




     def remove_articles(snake_case_       : Optional[int]			):
          return re.sub(R"\b(a|an|the)\b"					,    " "					,    __lowerCamelCase			)

     def white_space_fix(snake_case_       : Dict			):
          return " ".join(text.split()			)

     def remove_punc(snake_case_       : Optional[Any]			):
          UpperCAmelCase_           =   set(string.punctuation			)
          return "".join(ch for ch in text if ch not in exclude			)

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

     return white_space_fix(remove_articles(remove_punc(lower(__lowerCamelCase			)			)			)			)





def 	lowerCAmelCase_				(					snake_case_       : Optional[int]					,    snake_case_       : Optional[int]			)    ->      int:


     '''simple docstring'''




     UpperCAmelCase_           =   normalize_answer(__lowerCamelCase			).split()
     UpperCAmelCase_           =   normalize_answer(__lowerCamelCase			).split()
     UpperCAmelCase_           =   Counter(__lowerCamelCase			) & Counter(__lowerCamelCase			)
     UpperCAmelCase_           =   sum(common.values()			)
     if num_same == 0:
          return 0
     UpperCAmelCase_           =   1.0 * num_same / len(__lowerCamelCase			)
     UpperCAmelCase_           =   1.0 * num_same / len(__lowerCamelCase			)
     UpperCAmelCase_           =   (2 * precision * recall) / (precision + recall)
     return fa





def 	lowerCAmelCase_				(					snake_case_       : int					,    snake_case_       : Union[str, Any]			)    ->      Union[str, Any]:


     '''simple docstring'''




     return normalize_answer(__lowerCamelCase			) == normalize_answer(__lowerCamelCase			)





def 	lowerCAmelCase_				(					snake_case_       : List[str]					,    snake_case_       : List[str]			)    ->      List[str]:


     '''simple docstring'''




     assert len(__lowerCamelCase			) == len(__lowerCamelCase			)
     UpperCAmelCase_           =   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_				(					snake_case_       : str			)    ->      Any:


     '''simple docstring'''




     return model_prefix.startswith("rag"			)






def 	lowerCAmelCase_				(					snake_case_       : List[str]					,    snake_case_       : List[Any]					,    snake_case_       : int			)    ->      Tuple:


     '''simple docstring'''




     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(__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
               UpperCAmelCase_           =   p if hasattr(__lowerCamelCase					,    __lowerCamelCase			) else equivalent_param[p]
               setattr(__lowerCamelCase					,    __lowerCamelCase					,    getattr(__lowerCamelCase					,    __lowerCamelCase			)			)
               delattr(__lowerCamelCase					,    __lowerCamelCase			)
     return hparams, config











'''simple docstring'''


import math
def 							UpperCAmelCase_  (						__lowerCamelCase					:					int ):
   lowercase_			:Dict    			= []
   lowercase_			:List[Any]    			= 2
   lowercase_			:Optional[Any]    			= int(math.sqrt(__lowerCamelCase ) )  # Size of every segment
   lowercase_			:Optional[Any]    			= [True] * (end + 1)
   lowercase_			:Dict    			= []

   while start <= end:
      if temp[start] is True:
         in_prime.append(__lowerCamelCase )
         for i in range(start * start	,end + 1	,__lowerCamelCase ):
            lowercase_			:List[str]    			= False
      start += 1
   prime += in_prime

   lowercase_			:Dict    			= end + 1
   lowercase_			:Dict    			= min(2 * end	,__lowerCamelCase )

   while low <= n:
      lowercase_			:Any    			= [True] * (high - low + 1)
      for each in in_prime:
         lowercase_			:List[Any]    			= math.floor(low / each ) * each
         if t < low:
            t += each

         for j in range(__lowerCamelCase	,high + 1	,__lowerCamelCase ):
            lowercase_			:str    			= False

      for j in range(len(__lowerCamelCase ) ):
         if temp[j] is True:
            prime.append(j + low )

      lowercase_			:Dict    			= high + 1
      lowercase_			:Dict    			= min(high + end	,__lowerCamelCase )

   return prime


print(sieve(10**6))


