




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        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case			,     snake_case			,     snake_case			,     snake_case=True			,     snake_case="pt"       )						->				List[str]:
						_UpperCAmelCase      =			{"""add_prefix_space""": True} if isinstance(snake_case			,     snake_case       ) and not line.startswith(""" """       ) else {}
						_UpperCAmelCase      =			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        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case			,     snake_case=None			,     )						->				Any:
						_UpperCAmelCase      =			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       _A				(		__lowercase     ):






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






		def __len__(    self			):
								return len(self.src_lens			)






		def __getitem__(    self						,		_SCREAMING_SNAKE_CASE			):
								_UpperCAmelCase      =			index + 1  # linecache starts at 1
								_UpperCAmelCase      =			self.prefix + linecache.getline(str(self.src_file			)						,		_SCREAMING_SNAKE_CASE			).rstrip("""\n"""			)
								_UpperCAmelCase      =			linecache.getline(str(self.tgt_file			)						,		_SCREAMING_SNAKE_CASE			).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						,		_SCREAMING_SNAKE_CASE			):
														source_line += self.tokenizer.eos_token
														tgt_line += self.tokenizer.eos_token

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

								_UpperCAmelCase      =			encode_line(_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE						,		self.max_source_length						,		"""right"""			)
								_UpperCAmelCase      =			encode_line(_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE						,		self.max_target_length						,		"""right"""			)

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






		@staticmethod
		def 				UpperCAmelCase (    _SCREAMING_SNAKE_CASE			):
								return [len(_SCREAMING_SNAKE_CASE			) for x in Path(_SCREAMING_SNAKE_CASE			).open().readlines()]






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



a													=			getLogger(__name__)




def        _SCREAMING_SNAKE_CASE      (		snake_case       )						->				List[Any]:
						return list(itertools.chain.from_iterable(snake_case       )       )




def        _SCREAMING_SNAKE_CASE      (		snake_case       )						->				None:
						_UpperCAmelCase      =			get_git_info()
						save_json(snake_case			,     os.path.join(snake_case			,     """git_log.json"""       )       )




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case			,     snake_case=4			,     **snake_case       )						->				Optional[int]:
						with open(snake_case			,     """w"""       ) as f:
												json.dump(snake_case			,     snake_case			,     indent=snake_case			,     **snake_case       )




def        _SCREAMING_SNAKE_CASE      (		snake_case       )						->				str:
						with open(snake_case       ) as f:
												return json.load(snake_case       )




def        _SCREAMING_SNAKE_CASE      (		)						->				Union[str, Any]:
						_UpperCAmelCase      =			git.Repo(search_parent_directories=snake_case       )
						_UpperCAmelCase      =			{
						    """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        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case       )						->				List:
						return list(map(snake_case			,     snake_case       )       )




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case       )						->				Optional[int]:
						with open(snake_case			,     """wb"""       ) as f:
												return pickle.dump(snake_case			,     snake_case       )




def        _SCREAMING_SNAKE_CASE      (		snake_case       )						->				List[Any]:

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

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

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

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

						return white_space_fix(remove_articles(remove_punc(lower(snake_case       )       )       )       )




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




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case       )						->				List[str]:
						return normalize_answer(snake_case       ) == normalize_answer(snake_case       )




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case       )						->				Dict:
						assert len(snake_case       ) == len(snake_case       )
						_UpperCAmelCase      =			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        _SCREAMING_SNAKE_CASE      (		snake_case       )						->				List[str]:
						return model_prefix.startswith("""rag"""       )




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case			,     snake_case       )						->				List[Any]:
						_UpperCAmelCase      =			{p: p for p in extra_params}
						# T5 models don't have `dropout` param, they have `dropout_rate` instead
						_UpperCAmelCase      =			"""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
																		_UpperCAmelCase      =			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





import math




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case       )						->				float:
						if (
						    not isinstance(snake_case			,     (int, float)       )
						    or power_factor < -1
						    or power_factor > 1
						):
												raise ValueError("""power_factor must be a valid float value between -1 and 1."""       )
						return apparent_power * power_factor




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case       )						->				float:
						if (
						    not isinstance(snake_case			,     (int, float)       )
						    or power_factor < -1
						    or power_factor > 1
						):
												raise ValueError("""power_factor must be a valid float value between -1 and 1."""       )
						return apparent_power * math.sqrt(1 - power_factor**2       )


if __name__ == "__main__":
				import doctest

				doctest.testmod()