
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					(    __lowerCamelCase     : int				,					__lowerCamelCase     : Tuple				,					__lowerCamelCase     : Any				,					__lowerCamelCase     : int				,					__lowerCamelCase     : Optional[int]=True				,					__lowerCamelCase     : Optional[int]="pt"    ):
       snake_case       :   Dict							=      {"""add_prefix_space""": True} if isinstance(snake_case__				,					snake_case__    ) and not line.startswith(" "    ) else {}
       snake_case       :   Optional[Any]							=      padding_side
       return tokenizer(
           [line]				,					max_length=snake_case__				,					padding="max_length" if pad_to_max_length else None				,					truncation=snake_case__				,					return_tensors=snake_case__				,					add_special_tokens=snake_case__				,					**snake_case__				,					)


def 			UpperCamelCase					(    __lowerCamelCase     : Optional[Any]				,					__lowerCamelCase     : Dict				,					__lowerCamelCase     : Any=None				,					):
       snake_case       :   List[Any]							=      input_ids.ne(snake_case__    ).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		(						__a ):



   def __init__(self		:					str    ,						snake_case__		:					Any    ,						snake_case__		:					Union[str, Any]    ,						snake_case__		:					Dict    ,						snake_case__		:					Dict    ,						snake_case__		:					int="train"    ,						snake_case__		:					Any=None    ,						snake_case__		:					Any=None    ,						snake_case__		:					Any=None    ,						snake_case__		:					Tuple=""    ,						)		->	int:


          '''simple docstring'''


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



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


          '''simple docstring'''


          return len(self.src_lens )



   def __getitem__(self		:					Union[str, Any]    ,						snake_case__		:					List[Any] )		->	Dict:


          '''simple docstring'''


          snake_case       :   Optional[int]							=      index + 1  # linecache starts at 1
          snake_case       :   Optional[Any]							=      self.prefix + linecache.getline(str(self.src_file )    ,						a_ ).rstrip("\n" )
          snake_case       :   int							=      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
          snake_case       :   Dict							=      (
              self.tokenizer.question_encoder if isinstance(self.tokenizer    ,						a_ ) else self.tokenizer
          )
          snake_case       :   str							=      self.tokenizer.generator if isinstance(self.tokenizer    ,						a_ ) else self.tokenizer

          snake_case       :   Tuple							=      encode_line(a_    ,						a_    ,						self.max_source_length    ,						"right" )
          snake_case       :   Optional[Any]							=      encode_line(a_    ,						a_    ,						self.max_target_length    ,						"right" )

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



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


          '''simple docstring'''


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



   def 				_SCREAMING_SNAKE_CASE   (self		:					Optional[int]    ,						snake_case__		:					List[str] )		->	List[str]:


          '''simple docstring'''


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



__lowerCamelCase							=       getLogger(__name__)


def 			UpperCamelCase					(    __lowerCamelCase     : List[List]    ):
       return list(itertools.chain.from_iterable(snake_case__    )    )


def 			UpperCamelCase					(    __lowerCamelCase     : str    ):
       snake_case       :   Any							=      get_git_info()
       save_json(snake_case__				,					os.path.join(snake_case__				,					"git_log.json"    )    )


def 			UpperCamelCase					(    __lowerCamelCase     : str				,					__lowerCamelCase     : List[Any]				,					__lowerCamelCase     : Any=4				,					**__lowerCamelCase     : str    ):

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


def 			UpperCamelCase					(    __lowerCamelCase     : Tuple    ):

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


def 			UpperCamelCase					(    ):
       snake_case       :   int							=      git.Repo(search_parent_directories=snake_case__    )
       snake_case       :   List[str]							=      {
           """repo_id""": str(snake_case__    ),
           """repo_sha""": str(repo.head.object.hexsha    ),
           """repo_branch""": str(repo.active_branch    ),
           """hostname""": str(socket.gethostname()    ),
       }
       return repo_infos


def 			UpperCamelCase					(    __lowerCamelCase     : Callable				,					__lowerCamelCase     : Iterable    ):
       return list(map(snake_case__				,					snake_case__    )    )


def 			UpperCamelCase					(    __lowerCamelCase     : Optional[Any]				,					__lowerCamelCase     : Union[str, Any]    ):

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


def 			UpperCamelCase					(    __lowerCamelCase     : Union[str, Any]    ):

       def remove_articles(__lowerCamelCase     : Optional[Any]    ):
              return re.sub(r"\b(a|an|the)\b"				,					" "				,					snake_case__    )

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

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

       def lower(__lowerCamelCase     : Tuple    ):
              return text.lower()

       return white_space_fix(remove_articles(remove_punc(lower(snake_case__    )    )    )    )


def 			UpperCamelCase					(    __lowerCamelCase     : Optional[int]				,					__lowerCamelCase     : Optional[int]    ):
       snake_case       :   Tuple							=      normalize_answer(snake_case__    ).split()
       snake_case       :   Tuple							=      normalize_answer(snake_case__    ).split()
       snake_case       :   List[str]							=      Counter(snake_case__    ) & Counter(snake_case__    )
       snake_case       :   Dict							=      sum(common.values()    )
       if num_same == 0:
              return 0
       snake_case       :   List[str]							=      1.0 * num_same / len(snake_case__    )
       snake_case       :   Optional[int]							=      1.0 * num_same / len(snake_case__    )
       snake_case       :   List[Any]							=      (2 * precision * recall) / (precision + recall)
       return fa


def 			UpperCamelCase					(    __lowerCamelCase     : Union[str, Any]				,					__lowerCamelCase     : Tuple    ):
       return normalize_answer(snake_case__    ) == normalize_answer(snake_case__    )


def 			UpperCamelCase					(    __lowerCamelCase     : List[str]				,					__lowerCamelCase     : List[str]    ):
       assert len(snake_case__    ) == len(snake_case__    )
       snake_case       :   Union[str, Any]							=      0
       for hypo, pred in zip(snake_case__				,					snake_case__    ):
              em += exact_match_score(snake_case__				,					snake_case__    )
       if len(snake_case__    ) > 0:
              em /= len(snake_case__    )
       return {"em": em}


def 			UpperCamelCase					(    __lowerCamelCase     : Optional[Any]    ):
       return model_prefix.startswith("rag"    )




def 			UpperCamelCase					(    __lowerCamelCase     : int				,					__lowerCamelCase     : int				,					__lowerCamelCase     : str    ):
       snake_case       :   int							=      {p: p for p in extra_params}
       # T5 models don't have `dropout` param, they have `dropout_rate` instead
       snake_case       :   List[Any]							=      """dropout_rate"""
       for p in extra_params:
              if getattr(snake_case__				,					snake_case__				,					snake_case__    ):
                     if not hasattr(snake_case__				,					snake_case__    ) and not hasattr(snake_case__				,					equivalent_param[p]    ):
                            logger.info("config doesn't have a `{}` attribute".format(snake_case__    )    )
                            delattr(snake_case__				,					snake_case__    )
                            continue
                     snake_case       :   str							=      p if hasattr(snake_case__				,					snake_case__    ) else equivalent_param[p]
                     setattr(snake_case__				,					snake_case__				,					getattr(snake_case__				,					snake_case__    )    )
                     delattr(snake_case__				,					snake_case__    )
       return hparams, config











"""simple docstring"""


def 					UpperCAmelCase__       (snake_case__							:					list    ):
  """simple docstring"""

  if len(snake_case__    ) <= 1:
    return [tuple(snake_case__    )]

  _snake_case							:		List[Any]								=  []

  def generate(snake_case__							:					int		,   snake_case__							:					list    ):
    if k == 1:
      res.append(tuple(arr[:]    )    )
      return

    generate(k - 1		,   snake_case__    )

    for i in range(k - 1    ):
      if k % 2 == 0:  # k is even
        _snake_case		,					_snake_case							:		Optional[Any]								=  arr[k - 1], arr[i]
      else:  # k is odd
        _snake_case		,					_snake_case							:		List[str]								=  arr[k - 1], arr[0]
      generate(k - 1		,   snake_case__    )

  generate(len(snake_case__    )		,   snake_case__    )
  return res


if __name__ == "__main__":
     A_						=				input('''Enter numbers separated by a comma:\n''').strip()
     A_						=				[int(item) for item in user_input.split(''',''')]
     print(heaps(arr))


