
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        a_		(       __lowercase   :	Optional[Any]       ,					__lowercase   :	str       ,					__lowercase   :	Union[str, Any]       ,					__lowercase   :	List[Any]       ,					__lowercase   :	Any=True       ,					__lowercase   :	Union[str, Any]="pt" ) ->  Dict:
			_snake_case		=			{'add_prefix_space': True} if isinstance(__lowercase       ,					__lowercase ) and not line.startswith(' ' ) else {}
			_snake_case		=			padding_side
			return tokenizer(
			    [line]       ,					max_length=__lowercase       ,					padding='max_length' if pad_to_max_length else None       ,					truncation=__lowercase       ,					return_tensors=__lowercase       ,					add_special_tokens=__lowercase       ,					**__lowercase       ,					)






def        a_		(       __lowercase   :	Tuple       ,					__lowercase   :	Dict       ,					__lowercase   :	Tuple=None       ,					) ->  List[str]:
			_snake_case		=			input_ids.ne(__lowercase ).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    SCREAMING_SNAKE_CASE__     (	UpperCAmelCase					):





	'''simple docstring'''



	def __init__(  self	:    Optional[int]			,  lowercase	:    Dict			,  lowercase	:    Any			,  lowercase	:    Optional[Any]			,  lowercase	:    Any			,  lowercase	:    List[Any]="train"			,  lowercase	:    Dict=None			,  lowercase	:    Dict=None			,  lowercase	:    Dict=None			,  lowercase	:    Optional[Any]=""			,  ):


				'''simple docstring'''


				super().__init__()
				_snake_case		=			Path(lowercase	).joinpath(type_path + '.source'	)
				_snake_case		=			Path(lowercase	).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]	):


				'''simple docstring'''


				return len(self.src_lens	)



	def __getitem__(  self	:    List[Any]			,  lowercase	:    Union[str, Any]	):


				'''simple docstring'''


				_snake_case		=			index + 1  # linecache starts at 1
				_snake_case		=			self.prefix + linecache.getline(str(self.src_file	)			,  lowercase	).rstrip('\n'	)
				_snake_case		=			linecache.getline(str(self.tgt_file	)			,  lowercase	).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			,  lowercase	):
							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			,  lowercase	) else self.tokenizer
				)
				_snake_case		=			self.tokenizer.generator if isinstance(self.tokenizer			,  lowercase	) else self.tokenizer

				_snake_case		=			encode_line(lowercase			,  lowercase			,  self.max_source_length			,  'right'	)
				_snake_case		=			encode_line(lowercase			,  lowercase			,  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  A							(  lowercase	:    str	):


				'''simple docstring'''


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





	def  A							(  self	:    Any			,  lowercase	:    List[str]	):


				'''simple docstring'''


				_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			,  lowercase	)
				    else self.tokenizer.pad_token_id
				)
				_snake_case		=			(
				    self.tokenizer.question_encoder.pad_token_id
				    if isinstance(self.tokenizer			,  lowercase	)
				    else self.tokenizer.pad_token_id
				)
				_snake_case		=			trim_batch(lowercase			,  lowercase	)
				_snake_case	,					_snake_case		=			trim_batch(lowercase			,  lowercase			,  attention_mask=lowercase	)
				_snake_case		=			{
				    'input_ids': source_ids,
				    'attention_mask': source_mask,
				    'decoder_input_ids': y,
				}
				return batch




_lowerCamelCase       :				Union[str, Any]       =			getLogger(__name__)






def        a_		(       __lowercase   :	List[List] ) ->  Tuple:
			return list(itertools.chain.from_iterable(__lowercase ) )






def        a_		(       __lowercase   :	str ) ->  None:
			_snake_case		=			get_git_info()
			save_json(__lowercase       ,					os.path.join(__lowercase       ,					'git_log.json' ) )






def        a_		(       __lowercase   :	Optional[Any]       ,					__lowercase   :	Dict       ,					__lowercase   :	Optional[int]=4       ,					**__lowercase   :	int ) ->  List[Any]:
			with open(__lowercase       ,					'w' ) as f:
						json.dump(__lowercase       ,					__lowercase       ,					indent=__lowercase       ,					**__lowercase )






def        a_		(       __lowercase   :	Optional[Any] ) ->  int:
			with open(__lowercase ) as f:
						return json.load(__lowercase )






def        a_		(       ) ->  int:
			_snake_case		=			git.Repo(search_parent_directories=__lowercase )
			_snake_case		=			{
			    'repo_id': str(__lowercase ),
			    'repo_sha': str(repo.head.object.hexsha ),
			    'repo_branch': str(repo.active_branch ),
			    'hostname': str(socket.gethostname() ),
			}
			return repo_infos






def        a_		(       __lowercase   :	Callable       ,					__lowercase   :	Iterable ) ->  List:
			return list(map(__lowercase       ,					__lowercase ) )






def        a_		(       __lowercase   :	str       ,					__lowercase   :	Optional[int] ) ->  Tuple:
			with open(__lowercase       ,					'wb' ) as f:
						return pickle.dump(__lowercase       ,					__lowercase )






def        a_		(       __lowercase   :	Optional[Any] ) ->  Any:

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

			def white_space_fix(__lowercase   :	str ):
						return " ".join(text.split() )

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

			def lower(__lowercase   :	List[Any] ):
						return text.lower()

			return white_space_fix(remove_articles(remove_punc(lower(__lowercase ) ) ) )






def        a_		(       __lowercase   :	Optional[int]       ,					__lowercase   :	Optional[Any] ) ->  Any:
			_snake_case		=			normalize_answer(__lowercase ).split()
			_snake_case		=			normalize_answer(__lowercase ).split()
			_snake_case		=			Counter(__lowercase ) & Counter(__lowercase )
			_snake_case		=			sum(common.values() )
			if num_same == 0:
						return 0
			_snake_case		=			1.0 * num_same / len(__lowercase )
			_snake_case		=			1.0 * num_same / len(__lowercase )
			_snake_case		=			(2 * precision * recall) / (precision + recall)
			return fa






def        a_		(       __lowercase   :	Any       ,					__lowercase   :	int ) ->  List[str]:
			return normalize_answer(__lowercase ) == normalize_answer(__lowercase )






def        a_		(       __lowercase   :	List[str]       ,					__lowercase   :	List[str] ) ->  Dict:
			assert len(__lowercase ) == len(__lowercase )
			_snake_case		=			0
			for hypo, pred in zip(__lowercase       ,					__lowercase ):
						em += exact_match_score(__lowercase       ,					__lowercase )
			if len(__lowercase ) > 0:
						em /= len(__lowercase )
			return {"em": em}






def        a_		(       __lowercase   :	str ) ->  Optional[int]:
			return model_prefix.startswith('rag' )






def        a_		(       __lowercase   :	Tuple       ,					__lowercase   :	Optional[int]       ,					__lowercase   :	Optional[int] ) ->  List[Any]:
			_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(__lowercase       ,					__lowercase       ,					__lowercase ):
									if not hasattr(__lowercase       ,					__lowercase ) and not hasattr(__lowercase       ,					equivalent_param[p] ):
												logger.info('config doesn\'t have a `{}` attribute'.format(__lowercase ) )
												delattr(__lowercase       ,					__lowercase )
												continue
									_snake_case		=			p if hasattr(__lowercase       ,					__lowercase ) else equivalent_param[p]
									setattr(__lowercase       ,					__lowercase       ,					getattr(__lowercase       ,					__lowercase ) )
									delattr(__lowercase       ,					__lowercase )
			return hparams, config

class    SCREAMING_SNAKE_CASE__     :





	'''simple docstring'''



	def __init__(  self	:    List[str]			,  lowercase	:    list[int]	):


				'''simple docstring'''


				_snake_case		=			len(lowercase	)
				_snake_case		=			[0] * len_array

				if len_array > 0:
							_snake_case		=			array[0]

				for i in range(1			,  lowercase	):
							_snake_case		=			self.prefix_sum[i - 1] + array[i]



	def  A							(  self	:    Optional[Any]			,  lowercase	:    int			,  lowercase	:    int	):


				'''simple docstring'''


				if start == 0:
							return self.prefix_sum[end]

				return self.prefix_sum[end] - self.prefix_sum[start - 1]





	def  A							(  self	:    Union[str, Any]			,  lowercase	:    int	):


				'''simple docstring'''


				_snake_case		=			{0}
				for sum_item in self.prefix_sum:
							if sum_item - target_sum in sums:
										return True

							sums.add(lowercase	)

				return False


if __name__ == "__main__":
			import doctest

			doctest.testmod()