






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    :							List[str]		,		__A    :							Dict		,		__A    :							List[str]		,		__A    :							Dict		,		__A    :							Optional[int]=True		,		__A    :							List[Any]="pt" )      ->					Optional[Any]:
    _UpperCAmelCase				:      Dict			  =				{'''add_prefix_space''': True} if isinstance(UpperCAmelCase__		,		UpperCAmelCase__ ) and not line.startswith(''' ''' ) else {}
    _UpperCAmelCase				:      List[str]			  =				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      _lowerCamelCase	(						__A    :							Tuple		,		__A    :							Tuple		,		__A    :							Any=None		,		)      ->					List[str]:
    _UpperCAmelCase				:      str			  =				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_    (						_a			):






 '''simple docstring'''




 def __init__(	self							,  _A							,  _A							,  _A							,  _A							,  _A="train"							,  _A=None							,  _A=None							,  _A=None							,  _A=""							,  ) ->		List[Any]:

     """simple docstring"""



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


 def __len__(	self) ->		Optional[Any]:

     """simple docstring"""



     return len(self.src_lens)


 def __getitem__(	self							,  _A) ->		Any:

     """simple docstring"""



     _UpperCAmelCase				:      str			  =				index + 1  # linecache starts at 1
     _UpperCAmelCase				:      int			  =				self.prefix + linecache.getline(str(self.src_file)							,  _A).rstrip('''\n''')
     _UpperCAmelCase				:      Dict			  =				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				:      Tuple			  =				(
         self.tokenizer.question_encoder if isinstance(self.tokenizer							,  _A) else self.tokenizer
     )
     _UpperCAmelCase				:      Tuple			  =				self.tokenizer.generator if isinstance(self.tokenizer							,  _A) else self.tokenizer

     _UpperCAmelCase				:      Optional[Any]			  =				encode_line(_A							,  _A							,  self.max_source_length							,  '''right''')
     _UpperCAmelCase				:      Union[str, Any]			  =				encode_line(_A							,  _A							,  self.max_target_length							,  '''right''')

     _UpperCAmelCase				:      List[str]			  =				source_inputs['''input_ids'''].squeeze()
     _UpperCAmelCase				:      List[str]			  =				target_inputs['''input_ids'''].squeeze()
     _UpperCAmelCase				:      Optional[int]			  =				source_inputs['''attention_mask'''].squeeze()
     return {
         "input_ids": source_ids,
         "attention_mask": src_mask,
         "decoder_input_ids": target_ids,
     }


 @staticmethod
 def  snake_case__				(	_A) ->		Union[str, Any]:

     """simple docstring"""



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


 def  snake_case__				(	self							,  _A) ->		Optional[int]:

     """simple docstring"""



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



SCREAMING_SNAKE_CASE 							=						getLogger(__name__)

def      _lowerCamelCase	(						__A    :							Union[str, Any] )      ->					Optional[Any]:
    return list(itertools.chain.from_iterable(UpperCAmelCase__ ) )

def      _lowerCamelCase	(						__A    :							Any )      ->					Optional[Any]:
    _UpperCAmelCase				:      Any			  =				get_git_info()
    save_json(UpperCAmelCase__		,		os.path.join(UpperCAmelCase__		,		'''git_log.json''' ) )

def      _lowerCamelCase	(						__A    :							Optional[Any]		,		__A    :							Optional[Any]		,		__A    :							Optional[int]=4		,		**__A    :							Optional[int] )      ->					Optional[int]:






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

def      _lowerCamelCase	(						__A    :							Dict )      ->					Any:






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

def      _lowerCamelCase	(						)      ->					Any:
    _UpperCAmelCase				:      Tuple			  =				git.Repo(search_parent_directories=UpperCAmelCase__ )
    _UpperCAmelCase				:      str			  =				{
        '''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      _lowerCamelCase	(						__A    :							Any		,		__A    :							Tuple )      ->					List[Any]:
    return list(map(UpperCAmelCase__		,		UpperCAmelCase__ ) )

def      _lowerCamelCase	(						__A    :							List[Any]		,		__A    :							Optional[int] )      ->					str:






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

def      _lowerCamelCase	(						__A    :							Union[str, Any] )      ->					List[str]:






    def remove_articles(__A    :							Any ):
        return re.sub(r'''\b(a|an|the)\b'''		,		''' '''		,		UpperCAmelCase__ )

    def white_space_fix(__A    :							int ):
        return " ".join(text.split() )

    def remove_punc(__A    :							List[str] ):
        _UpperCAmelCase				:      Union[str, Any]			  =				set(string.punctuation )
        return "".join(ch for ch in text if ch not in exclude )

    def lower(__A    :							Dict ):
        return text.lower()

    return white_space_fix(remove_articles(remove_punc(lower(UpperCAmelCase__ ) ) ) )

def      _lowerCamelCase	(						__A    :							str		,		__A    :							Dict )      ->					Union[str, Any]:
    _UpperCAmelCase				:      Any			  =				normalize_answer(UpperCAmelCase__ ).split()
    _UpperCAmelCase				:      List[Any]			  =				normalize_answer(UpperCAmelCase__ ).split()
    _UpperCAmelCase				:      Dict			  =				Counter(UpperCAmelCase__ ) & Counter(UpperCAmelCase__ )
    _UpperCAmelCase				:      Optional[Any]			  =				sum(common.values() )
    if num_same == 0:
        return 0
    _UpperCAmelCase				:      Optional[int]			  =				1.0 * num_same / len(UpperCAmelCase__ )
    _UpperCAmelCase				:      Optional[int]			  =				1.0 * num_same / len(UpperCAmelCase__ )
    _UpperCAmelCase				:      Any			  =				(2 * precision * recall) / (precision + recall)
    return fa

def      _lowerCamelCase	(						__A    :							List[str]		,		__A    :							Optional[Any] )      ->					List[str]:
    return normalize_answer(UpperCAmelCase__ ) == normalize_answer(UpperCAmelCase__ )

def      _lowerCamelCase	(						__A    :							str		,		__A    :							Optional[int] )      ->					Any:
    assert len(UpperCAmelCase__ ) == len(UpperCAmelCase__ )
    _UpperCAmelCase				:      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      _lowerCamelCase	(						__A    :							List[str] )      ->					List[str]:
    return model_prefix.startswith('''rag''' )


def      _lowerCamelCase	(						__A    :							Optional[Any]		,		__A    :							int		,		__A    :							Dict )      ->					Any:
    _UpperCAmelCase				:      Tuple			  =				{p: p for p in extra_params}
    # T5 models don't have `dropout` param, they have `dropout_rate` instead
    _UpperCAmelCase				:      List[Any]			  =				'''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
            _UpperCAmelCase				:      Dict			  =				p if hasattr(UpperCAmelCase__		,		UpperCAmelCase__ ) else equivalent_param[p]
            setattr(UpperCAmelCase__		,		UpperCAmelCase__		,		getattr(UpperCAmelCase__		,		UpperCAmelCase__ ) )
            delattr(UpperCAmelCase__		,		UpperCAmelCase__ )
    return hparams, config












import math

def      _lowerCamelCase	(						__A    :							int )      ->					int:

    if not isinstance(__A		,		__A ):
        _UpperCAmelCase				:      List[Any]			  =				f'''Input value of [number={number}] must be an integer'''
        raise TypeError(__A )

    if number < 1:
        _UpperCAmelCase				:      Optional[Any]			  =				f'''Input value of [number={number}] must be > 0'''
        raise ValueError(__A )
    elif number == 1:
        return 3
    elif number == 2:
        return 5
    else:
        _UpperCAmelCase				:      Any			  =				int(math.log(number // 3		,		2 ) ) + 2

        _UpperCAmelCase				:      Dict			  =				[3, 5]
        _UpperCAmelCase				:      Tuple			  =				2
        _UpperCAmelCase				:      Dict			  =				3
        for block in range(1		,		__A ):
            for _ in range(__A ):
                proth_list.append(2 ** (block + 1) + proth_list[proth_index - 1] )
                proth_index += 1
            increment *= 2

    return proth_list[number - 1]


if __name__ == "__main__":
  import doctest

  doctest.testmod()

  for number in range(11):
    SCREAMING_SNAKE_CASE 							=						0
    try:
      SCREAMING_SNAKE_CASE 							=						proth(number)
    except ValueError:
      print(F'ValueError: there is no {number}th Proth number')
      continue

    print(F'The {number}th Proth number: {value}')




