






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 					lowercase_ (    __snake_case     :							Optional[Any]	,	__snake_case     :							Union[str, Any]	,	__snake_case     :							List[str]	,	__snake_case     :							str	,	__snake_case     :							List[str]=True	,	__snake_case     :							str="pt"      )     -> Tuple:





				'''simple docstring'''


				snake_case__      :Union[str, Any]         =   {"add_prefix_space": True} if isinstance(lowerCAmelCase__	,	lowerCAmelCase__      ) and not line.startswith(" "      ) else {}
				snake_case__      :Optional[int]         =   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 					lowercase_ (    __snake_case     :							List[str]	,	__snake_case     :							Optional[Any]	,	__snake_case     :							Optional[int]=None	,	)     -> Dict:





				'''simple docstring'''


				snake_case__      :List[Any]         =   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 ):






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






	def __len__(		self       )						->    Dict:
					return len(self.src_lens       )






	def __getitem__(		self					,UpperCamelCase       )						->    List[str]:
					snake_case__      :int         =   index + 1  # linecache starts at 1
					snake_case__      :Any         =   self.prefix + linecache.getline(str(self.src_file       )					,_a       ).rstrip("\n"       )
					snake_case__      :str         =   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__      :Optional[int]         =   (
					    self.tokenizer.question_encoder if isinstance(self.tokenizer					,_a       ) else self.tokenizer
					)
					snake_case__      :List[str]         =   self.tokenizer.generator if isinstance(self.tokenizer					,_a       ) else self.tokenizer

					snake_case__      :List[Any]         =   encode_line(_a					,_a					,self.max_source_length					,"right"       )
					snake_case__      :Optional[Any]         =   encode_line(_a					,_a					,self.max_target_length					,"right"       )

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






	@staticmethod
	def    lowerCAmelCase_							(		UpperCamelCase       )						->    int:
					return [len(_a       ) for x in Path(_a       ).open().readlines()]






	def    lowerCAmelCase_							(		self					,UpperCamelCase       )						->    Tuple:
					snake_case__      :Optional[Any]         =   torch.stack([x["input_ids"] for x in batch]       )
					snake_case__      :Tuple         =   torch.stack([x["attention_mask"] for x in batch]       )
					snake_case__      :Union[str, Any]         =   torch.stack([x["decoder_input_ids"] for x in batch]       )
					snake_case__      :Dict         =   (
					    self.tokenizer.generator.pad_token_id
					    if isinstance(self.tokenizer					,_a       )
					    else self.tokenizer.pad_token_id
					)
					snake_case__      :int         =   (
					    self.tokenizer.question_encoder.pad_token_id
					    if isinstance(self.tokenizer					,_a       )
					    else self.tokenizer.pad_token_id
					)
					snake_case__      :Tuple         =   trim_batch(_a					,_a       )
					snake_case__    ,						snake_case__      :Tuple         =   trim_batch(_a					,_a					,attention_mask=_a       )
					snake_case__      :Dict         =   {
					    "input_ids": source_ids,
					    "attention_mask": source_mask,
					    "decoder_input_ids": y,
					}
					return batch




__UpperCAmelCase							:   List[str]							=  getLogger(__name__)





def 					lowercase_ (    __snake_case     :							List[List]      )     -> int:





				'''simple docstring'''


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





def 					lowercase_ (    __snake_case     :							str      )     -> None:





				'''simple docstring'''


				snake_case__      :Dict         =   get_git_info()
				save_json(lowerCAmelCase__	,	os.path.join(lowerCAmelCase__	,	"git_log.json"      )      )





def 					lowercase_ (    __snake_case     :							List[str]	,	__snake_case     :							str	,	__snake_case     :							List[str]=4	,	**__snake_case     :							Any      )     -> int:





				'''simple docstring'''


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





def 					lowercase_ (    __snake_case     :							List[str]      )     -> Union[str, Any]:





				'''simple docstring'''


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





def 					lowercase_ (    )     -> Optional[int]:





				'''simple docstring'''


				snake_case__      :Dict         =   git.Repo(search_parent_directories=lowerCAmelCase__      )
				snake_case__      :List[str]         =   {
				    "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 					lowercase_ (    __snake_case     :							Callable	,	__snake_case     :							Iterable      )     -> List:





				'''simple docstring'''


				return list(map(lowerCAmelCase__	,	lowerCAmelCase__      )      )





def 					lowercase_ (    __snake_case     :							Optional[Any]	,	__snake_case     :							Union[str, Any]      )     -> Dict:





				'''simple docstring'''


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





def 					lowercase_ (    __snake_case     :							Dict      )     -> Union[str, Any]:





				'''simple docstring'''


				def remove_articles(__snake_case     :							Dict      ):
								return re.sub(R"\b(a|an|the)\b"	,	" "	,	lowerCAmelCase__      )

				def white_space_fix(__snake_case     :							Tuple      ):
								return " ".join(text.split()      )

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

				def lower(__snake_case     :							Optional[Any]      ):
								return text.lower()

				return white_space_fix(remove_articles(remove_punc(lower(lowerCAmelCase__      )      )      )      )





def 					lowercase_ (    __snake_case     :							int	,	__snake_case     :							Tuple      )     -> Optional[Any]:





				'''simple docstring'''


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





def 					lowercase_ (    __snake_case     :							Optional[Any]	,	__snake_case     :							Tuple      )     -> int:





				'''simple docstring'''


				return normalize_answer(lowerCAmelCase__      ) == normalize_answer(lowerCAmelCase__      )





def 					lowercase_ (    __snake_case     :							List[str]	,	__snake_case     :							List[str]      )     -> Dict:





				'''simple docstring'''


				assert len(lowerCAmelCase__      ) == len(lowerCAmelCase__      )
				snake_case__      :Dict         =   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 					lowercase_ (    __snake_case     :							int      )     -> Tuple:





				'''simple docstring'''


				return model_prefix.startswith("rag"      )





def 					lowercase_ (    __snake_case     :							Tuple	,	__snake_case     :							Optional[Any]	,	__snake_case     :							List[Any]      )     -> List[str]:





				'''simple docstring'''


				snake_case__      :Optional[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(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
												snake_case__      :Dict         =   p if hasattr(lowerCAmelCase__	,	lowerCAmelCase__      ) else equivalent_param[p]
												setattr(lowerCAmelCase__	,	lowerCAmelCase__	,	getattr(lowerCAmelCase__	,	lowerCAmelCase__      )      )
												delattr(lowerCAmelCase__	,	lowerCAmelCase__      )
				return hparams, config







from __future__ import annotations





def 					lowercase_ (    __snake_case     :							list      )     -> float:





				'''simple docstring'''


				if not nums:
								raise ValueError("List is empty"      )
				return sum(__snake_case      ) / len(__snake_case      )


if __name__ == "__main__":
	import doctest

	doctest.testmod()