





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 							__snake_case							(    lowerCAmelCase_ ,							lowerCAmelCase_ ,							lowerCAmelCase_ ,							lowerCAmelCase_ ,							lowerCAmelCase_=True ,							lowerCAmelCase_="pt"	)				->						Tuple:
    SCREAMING_SNAKE_CASE__											=			{'''add_prefix_space''': True} if isinstance(lowerCAmelCase_ ,							lowerCAmelCase_	) and not line.startswith(''' '''	) else {}
    SCREAMING_SNAKE_CASE__											=			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 							__snake_case							(    lowerCAmelCase_ ,							lowerCAmelCase_ ,							lowerCAmelCase_=None ,							)				->						int:
    SCREAMING_SNAKE_CASE__											=			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 					__snake_case	(  __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__											=			Path(A_     ).joinpath(type_path + '''.source'''     )
        SCREAMING_SNAKE_CASE__											=			Path(A_     ).joinpath(type_path + '''.target'''     )
        SCREAMING_SNAKE_CASE__											=			self.get_char_lens(self.src_file     )
        SCREAMING_SNAKE_CASE__											=			max_source_length
        SCREAMING_SNAKE_CASE__											=			max_target_length
        assert min(self.src_lens     ) > 0, f'''found empty line in {self.src_file}'''
        SCREAMING_SNAKE_CASE__											=			tokenizer
        SCREAMING_SNAKE_CASE__											=			prefix
        if n_obs is not None:
            SCREAMING_SNAKE_CASE__											=			self.src_lens[:n_obs]
        SCREAMING_SNAKE_CASE__											=			src_lang
        SCREAMING_SNAKE_CASE__											=			tgt_lang



    def __len__(       self     ):





        '''simple docstring'''

        return len(self.src_lens     )



    def __getitem__(       self   ,				A_     ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__											=			index + 1  # linecache starts at 1
        SCREAMING_SNAKE_CASE__											=			self.prefix + linecache.getline(str(self.src_file     )   ,				A_     ).rstrip('''\n'''     )
        SCREAMING_SNAKE_CASE__											=			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__											=			(
            self.tokenizer.question_encoder if isinstance(self.tokenizer   ,				A_     ) else self.tokenizer
        )
        SCREAMING_SNAKE_CASE__											=			self.tokenizer.generator if isinstance(self.tokenizer   ,				A_     ) else self.tokenizer

        SCREAMING_SNAKE_CASE__											=			encode_line(A_   ,				A_   ,				self.max_source_length   ,				'''right'''     )
        SCREAMING_SNAKE_CASE__											=			encode_line(A_   ,				A_   ,				self.max_target_length   ,				'''right'''     )

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



    @staticmethod
    def  lowercase_					(       A_     ):





        '''simple docstring'''

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




    def  lowercase_					(       self   ,				A_     ):





        '''simple docstring'''

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





_A					:				Any				=			getLogger(__name__)


def 							__snake_case							(    lowerCAmelCase_	)				->						Union[str, Any]:
    return list(itertools.chain.from_iterable(lowerCAmelCase_	)	)


def 							__snake_case							(    lowerCAmelCase_	)				->						None:
    SCREAMING_SNAKE_CASE__											=			get_git_info()
    save_json(lowerCAmelCase_ ,							os.path.join(lowerCAmelCase_ ,							'''git_log.json'''	)	)


def 							__snake_case							(    lowerCAmelCase_ ,							lowerCAmelCase_ ,							lowerCAmelCase_=4 ,							**lowerCAmelCase_	)				->						List[str]:
    with open(lowerCAmelCase_ ,							'''w'''	) as f:
        json.dump(lowerCAmelCase_ ,							lowerCAmelCase_ ,							indent=lowerCAmelCase_ ,							**lowerCAmelCase_	)


def 							__snake_case							(    lowerCAmelCase_	)				->						Dict:
    with open(lowerCAmelCase_	) as f:
        return json.load(lowerCAmelCase_	)


def 							__snake_case							(    )				->						Tuple:
    SCREAMING_SNAKE_CASE__											=			git.Repo(search_parent_directories=lowerCAmelCase_	)
    SCREAMING_SNAKE_CASE__											=			{
        '''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 							__snake_case							(    lowerCAmelCase_ ,							lowerCAmelCase_	)				->						List:
    return list(map(lowerCAmelCase_ ,							lowerCAmelCase_	)	)


def 							__snake_case							(    lowerCAmelCase_ ,							lowerCAmelCase_	)				->						Dict:
    with open(lowerCAmelCase_ ,							'''wb'''	) as f:
        return pickle.dump(lowerCAmelCase_ ,							lowerCAmelCase_	)


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

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

    def white_space_fix(lowerCAmelCase_	):
        return " ".join(text.split()	)

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

    def lower(lowerCAmelCase_	):
        return text.lower()

    return white_space_fix(remove_articles(remove_punc(lower(lowerCAmelCase_	)	)	)	)


def 							__snake_case							(    lowerCAmelCase_ ,							lowerCAmelCase_	)				->						List[str]:
    SCREAMING_SNAKE_CASE__											=			normalize_answer(lowerCAmelCase_	).split()
    SCREAMING_SNAKE_CASE__											=			normalize_answer(lowerCAmelCase_	).split()
    SCREAMING_SNAKE_CASE__											=			Counter(lowerCAmelCase_	) & Counter(lowerCAmelCase_	)
    SCREAMING_SNAKE_CASE__											=			sum(common.values()	)
    if num_same == 0:
        return 0
    SCREAMING_SNAKE_CASE__											=			1.0 * num_same / len(lowerCAmelCase_	)
    SCREAMING_SNAKE_CASE__											=			1.0 * num_same / len(lowerCAmelCase_	)
    SCREAMING_SNAKE_CASE__											=			(2 * precision * recall) / (precision + recall)
    return fa


def 							__snake_case							(    lowerCAmelCase_ ,							lowerCAmelCase_	)				->						Union[str, Any]:
    return normalize_answer(lowerCAmelCase_	) == normalize_answer(lowerCAmelCase_	)


def 							__snake_case							(    lowerCAmelCase_ ,							lowerCAmelCase_	)				->						Dict:
    assert len(lowerCAmelCase_	) == len(lowerCAmelCase_	)
    SCREAMING_SNAKE_CASE__											=			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 							__snake_case							(    lowerCAmelCase_	)				->						int:
    return model_prefix.startswith('''rag'''	)



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






def lowercase    (  SCREAMING_SNAKE_CASE )			->							str:


			'''simple docstring'''







			SCREAMING_SNAKE_CASE_								=						len(SCREAMING_SNAKE_CASE )
			while cur > 1:
						# Find the maximum number in arr
						SCREAMING_SNAKE_CASE_								=						arr.index(max(arr[0:cur] ) )
						# Reverse from 0 to mi
						SCREAMING_SNAKE_CASE_								=						arr[mi::-1] + arr[mi + 1 : len(SCREAMING_SNAKE_CASE )]
						# Reverse whole list
						SCREAMING_SNAKE_CASE_								=						arr[cur - 1 :: -1] + arr[cur : len(SCREAMING_SNAKE_CASE )]
						cur -= 1
			return arr


if __name__ == "__main__":
				SCREAMING_SNAKE_CASE__     :     List[str]		    =       input("Enter numbers separated by a comma:\n").strip()
				SCREAMING_SNAKE_CASE__     :     Optional[int]		    =       [int(item) for item in user_input.split(",")]
				print(pancake_sort(unsorted))
