





'''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			(	UpperCAmelCase_					,				UpperCAmelCase_					,				UpperCAmelCase_					,				UpperCAmelCase_					,				UpperCAmelCase_=True					,				UpperCAmelCase_="pt"							)   ->List[Any]:
	snake_case__	       =   {'add_prefix_space': True} if isinstance(__UpperCAmelCase					,				__UpperCAmelCase							) and not line.startswith(' '							) else {}
	snake_case__	       =   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			(	UpperCAmelCase_					,				UpperCAmelCase_					,				UpperCAmelCase_=None					,				)   ->Tuple:
	snake_case__	       =   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 				__snake_case     (					_snake_case							):





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





	def __len__(		self		)      ->		Optional[int]:
		return len(self.src_lens		)





	def __getitem__(		self      ,       UpperCamelCase_		)      ->		str:
		snake_case__	       =   index + 1  # linecache starts at 1
		snake_case__	       =   self.prefix + linecache.getline(str(self.src_file		)      ,       UpperCamelCase_		).rstrip('\n'		)
		snake_case__	       =   linecache.getline(str(self.tgt_file		)      ,       UpperCamelCase_		).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      ,       UpperCamelCase_		):
			source_line += self.tokenizer.eos_token
			tgt_line += self.tokenizer.eos_token

		# Pad source and target to the right
		snake_case__	       =   (
		    self.tokenizer.question_encoder if isinstance(self.tokenizer      ,       UpperCamelCase_		) else self.tokenizer
		)
		snake_case__	       =   self.tokenizer.generator if isinstance(self.tokenizer      ,       UpperCamelCase_		) else self.tokenizer

		snake_case__	       =   encode_line(UpperCamelCase_      ,       UpperCamelCase_      ,       self.max_source_length      ,       'right'		)
		snake_case__	       =   encode_line(UpperCamelCase_      ,       UpperCamelCase_      ,       self.max_target_length      ,       'right'		)

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





	@staticmethod
	def   _snake_case   (		UpperCamelCase_		)      ->		str:
		return [len(UpperCamelCase_		) for x in Path(UpperCamelCase_		).open().readlines()]





	def   _snake_case   (		self      ,       UpperCamelCase_		)      ->		List[str]:
		snake_case__	       =   torch.stack([x['input_ids'] for x in batch]		)
		snake_case__	       =   torch.stack([x['attention_mask'] for x in batch]		)
		snake_case__	       =   torch.stack([x['decoder_input_ids'] for x in batch]		)
		snake_case__	       =   (
		    self.tokenizer.generator.pad_token_id
		    if isinstance(self.tokenizer      ,       UpperCamelCase_		)
		    else self.tokenizer.pad_token_id
		)
		snake_case__	       =   (
		    self.tokenizer.question_encoder.pad_token_id
		    if isinstance(self.tokenizer      ,       UpperCamelCase_		)
		    else self.tokenizer.pad_token_id
		)
		snake_case__	       =   trim_batch(UpperCamelCase_      ,       UpperCamelCase_		)
		snake_case__       ,  snake_case__	       =   trim_batch(UpperCamelCase_      ,       UpperCamelCase_      ,       attention_mask=UpperCamelCase_		)
		snake_case__	       =   {
		    'input_ids': source_ids,
		    'attention_mask': source_mask,
		    'decoder_input_ids': y,
		}
		return batch





a__					:			Any          =     getLogger(__name__)




def 						__lowerCamelCase			(	UpperCAmelCase_							)   ->Optional[Any]:
	return list(itertools.chain.from_iterable(__UpperCAmelCase							)							)




def 						__lowerCamelCase			(	UpperCAmelCase_							)   ->None:
	snake_case__	       =   get_git_info()
	save_json(__UpperCAmelCase					,				os.path.join(__UpperCAmelCase					,				'git_log.json'							)							)




def 						__lowerCamelCase			(	UpperCAmelCase_					,				UpperCAmelCase_					,				UpperCAmelCase_=4					,				**UpperCAmelCase_							)   ->Union[str, Any]:







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




def 						__lowerCamelCase			(	UpperCAmelCase_							)   ->Dict:







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




def 						__lowerCamelCase			(	)   ->List[str]:
	snake_case__	       =   git.Repo(search_parent_directories=__UpperCAmelCase							)
	snake_case__	       =   {
	    '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			(	UpperCAmelCase_					,				UpperCAmelCase_							)   ->List:
	return list(map(__UpperCAmelCase					,				__UpperCAmelCase							)							)




def 						__lowerCamelCase			(	UpperCAmelCase_					,				UpperCAmelCase_							)   ->Tuple:







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




def 						__lowerCamelCase			(	UpperCAmelCase_							)   ->str:







	def remove_articles(UpperCAmelCase_							):
		return re.sub(R'\b(a|an|the)\b'					,				' '					,				__UpperCAmelCase							)

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

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

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

	return white_space_fix(remove_articles(remove_punc(lower(__UpperCAmelCase							)							)							)							)




def 						__lowerCamelCase			(	UpperCAmelCase_					,				UpperCAmelCase_							)   ->Tuple:
	snake_case__	       =   normalize_answer(__UpperCAmelCase							).split()
	snake_case__	       =   normalize_answer(__UpperCAmelCase							).split()
	snake_case__	       =   Counter(__UpperCAmelCase							) & Counter(__UpperCAmelCase							)
	snake_case__	       =   sum(common.values()							)
	if num_same == 0:
		return 0
	snake_case__	       =   1.0 * num_same / len(__UpperCAmelCase							)
	snake_case__	       =   1.0 * num_same / len(__UpperCAmelCase							)
	snake_case__	       =   (2 * precision * recall) / (precision + recall)
	return fa




def 						__lowerCamelCase			(	UpperCAmelCase_					,				UpperCAmelCase_							)   ->str:
	return normalize_answer(__UpperCAmelCase							) == normalize_answer(__UpperCAmelCase							)




def 						__lowerCamelCase			(	UpperCAmelCase_					,				UpperCAmelCase_							)   ->Dict:
	assert len(__UpperCAmelCase							) == len(__UpperCAmelCase							)
	snake_case__	       =   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			(	UpperCAmelCase_							)   ->Optional[Any]:
	return model_prefix.startswith('rag'							)







def 						__lowerCamelCase			(	UpperCAmelCase_					,				UpperCAmelCase_					,				UpperCAmelCase_							)   ->Tuple:
	snake_case__	       =   {p: p for p in extra_params}
	# T5 models don't have `dropout` param, they have `dropout_rate` instead
	snake_case__	       =   '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
			snake_case__	       =   p if hasattr(__UpperCAmelCase					,				__UpperCAmelCase							) else equivalent_param[p]
			setattr(__UpperCAmelCase					,				__UpperCAmelCase					,				getattr(__UpperCAmelCase					,				__UpperCAmelCase							)							)
			delattr(__UpperCAmelCase					,				__UpperCAmelCase							)
	return hparams, config










'''simple docstring'''

import os
from math import logaa

def     __magic_name__							(				__UpperCAmelCase = "base_exp.txt"   )    ->       int:

   '''simple docstring'''







   __SCREAMING_SNAKE_CASE   				=							0
   __SCREAMING_SNAKE_CASE   				=							0
   for i, line in enumerate(open(os.path.join(os.path.dirname(__UpperCAmelCase   )				,						__UpperCAmelCase   )   )   ):
      __SCREAMING_SNAKE_CASE				,  __SCREAMING_SNAKE_CASE   				=							list(map(__UpperCAmelCase				,						line.split(""","""   )   )   )
      if x * logaa(__UpperCAmelCase   ) > largest:
         __SCREAMING_SNAKE_CASE   				=							x * logaa(__UpperCAmelCase   )
         __SCREAMING_SNAKE_CASE   				=							i + 1
   return result


if __name__ == "__main__":
    print(solution())





