


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       (    _lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase=True      ,	_lowerCAmelCase="pt" )						->	Dict:


						'''simple docstring'''






						__snake_case				=		{"add_prefix_space": True} if isinstance(_lowerCAmelCase      ,	_lowerCAmelCase ) and not line.startswith(" " ) else {}
						__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 	_lowerCAmelCase       (    _lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase=None      ,	)						->	Optional[Any]:


						'''simple docstring'''






						__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     UpperCamelCase(  _a   ):


					def __init__(						self	:		List[str]     ,    SCREAMING_SNAKE_CASE	:		Optional[Any]     ,    SCREAMING_SNAKE_CASE	:		Dict     ,    SCREAMING_SNAKE_CASE	:		Tuple     ,    SCREAMING_SNAKE_CASE	:		int     ,    SCREAMING_SNAKE_CASE	:		List[str]="train"     ,    SCREAMING_SNAKE_CASE	:		Any=None     ,    SCREAMING_SNAKE_CASE	:		Dict=None     ,    SCREAMING_SNAKE_CASE	:		List[str]=None     ,    SCREAMING_SNAKE_CASE	:		List[Any]=""     ,    )			->	str:




											'''simple docstring'''

											super().__init__()
											__snake_case				=		Path(SCREAMING_SNAKE_CASE						).joinpath(type_path + ".source"						)
											__snake_case				=		Path(SCREAMING_SNAKE_CASE						).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	:		List[Any]						)			->	int:




											'''simple docstring'''

											return len(self.src_lens						)


					def __getitem__(						self	:		Any     ,    SCREAMING_SNAKE_CASE	:		Optional[Any]						)			->	Dict[str, torch.Tensor]:




											'''simple docstring'''

											__snake_case				=		index + 1  # linecache starts at 1
											__snake_case				=		self.prefix + linecache.getline(str(self.src_file						)     ,    SCREAMING_SNAKE_CASE						).rstrip("\n"						)
											__snake_case				=		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
											__snake_case				=		(
											    self.tokenizer.question_encoder if isinstance(self.tokenizer     ,    SCREAMING_SNAKE_CASE						) else self.tokenizer
											)
											__snake_case				=		self.tokenizer.generator if isinstance(self.tokenizer     ,    SCREAMING_SNAKE_CASE						) else self.tokenizer

											__snake_case				=		encode_line(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE     ,    self.max_source_length     ,    "right"						)
											__snake_case				=		encode_line(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE     ,    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 							SCREAMING_SNAKE_CASE_  (						SCREAMING_SNAKE_CASE	:		Optional[Any]						)			->	List[Any]:




											'''simple docstring'''

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






					def 							SCREAMING_SNAKE_CASE_  (						self	:		int     ,    SCREAMING_SNAKE_CASE	:		Tuple						)			->	Dict[str, torch.Tensor]:




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




A							:					Any     						=     getLogger(__name__)





def 	_lowerCAmelCase       (    _lowerCAmelCase )						->	int:


						'''simple docstring'''






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





def 	_lowerCAmelCase       (    _lowerCAmelCase )						->	None:


						'''simple docstring'''






						__snake_case				=		get_git_info()
						save_json(_lowerCAmelCase      ,	os.path.join(_lowerCAmelCase      ,	"git_log.json" ) )





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


						'''simple docstring'''






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





def 	_lowerCAmelCase       (    _lowerCAmelCase )						->	int:


						'''simple docstring'''






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





def 	_lowerCAmelCase       (    )						->	Any:


						'''simple docstring'''






						__snake_case				=		git.Repo(search_parent_directories=_lowerCAmelCase )
						__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 	_lowerCAmelCase       (    _lowerCAmelCase      ,	_lowerCAmelCase )						->	List:


						'''simple docstring'''






						return list(map(_lowerCAmelCase      ,	_lowerCAmelCase ) )





def 	_lowerCAmelCase       (    _lowerCAmelCase      ,	_lowerCAmelCase )						->	int:


						'''simple docstring'''






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





def 	_lowerCAmelCase       (    _lowerCAmelCase )						->	Dict:


						'''simple docstring'''






						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 ):
												__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 	_lowerCAmelCase       (    _lowerCAmelCase      ,	_lowerCAmelCase )						->	Union[str, Any]:


						'''simple docstring'''






						__snake_case				=		normalize_answer(_lowerCAmelCase ).split()
						__snake_case				=		normalize_answer(_lowerCAmelCase ).split()
						__snake_case				=		Counter(_lowerCAmelCase ) & Counter(_lowerCAmelCase )
						__snake_case				=		sum(common.values() )
						if num_same == 0:
												return 0
						__snake_case				=		1.0 * num_same / len(_lowerCAmelCase )
						__snake_case				=		1.0 * num_same / len(_lowerCAmelCase )
						__snake_case				=		(2 * precision * recall) / (precision + recall)
						return fa





def 	_lowerCAmelCase       (    _lowerCAmelCase      ,	_lowerCAmelCase )						->	Optional[int]:


						'''simple docstring'''






						return normalize_answer(_lowerCAmelCase ) == normalize_answer(_lowerCAmelCase )





def 	_lowerCAmelCase       (    _lowerCAmelCase      ,	_lowerCAmelCase )						->	Dict:


						'''simple docstring'''






						assert len(_lowerCAmelCase ) == len(_lowerCAmelCase )
						__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 	_lowerCAmelCase       (    _lowerCAmelCase )						->	Tuple:


						'''simple docstring'''






						return model_prefix.startswith("rag" )





def 	_lowerCAmelCase       (    _lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase )						->	str:


						'''simple docstring'''






						__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(_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				=		p if hasattr(_lowerCAmelCase      ,	_lowerCAmelCase ) else equivalent_param[p]
																		setattr(_lowerCAmelCase      ,	_lowerCAmelCase      ,	getattr(_lowerCAmelCase      ,	_lowerCAmelCase ) )
																		delattr(_lowerCAmelCase      ,	_lowerCAmelCase )
						return hparams, config









class     UpperCamelCase:


					def __init__(						self	:		Any						)			->	Any:




											'''simple docstring'''

											__snake_case				=		0
											__snake_case				=		0
											__snake_case				=		{}


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Dict     ,    SCREAMING_SNAKE_CASE	:		Optional[int]						)			->	Optional[Any]:




											'''simple docstring'''

											if vertex not in self.adjacency:
																	__snake_case				=		{}
																	self.num_vertices += 1


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Union[str, Any]     ,    SCREAMING_SNAKE_CASE	:		Optional[int]     ,    SCREAMING_SNAKE_CASE	:		Optional[int]     ,    SCREAMING_SNAKE_CASE	:		str						)			->	Optional[Any]:




											'''simple docstring'''

											self.add_vertex(SCREAMING_SNAKE_CASE						)
											self.add_vertex(SCREAMING_SNAKE_CASE						)

											if head == tail:
																	return

											__snake_case				=		weight
											__snake_case				=		weight


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Optional[int]						)			->	Tuple:




											'''simple docstring'''

											__snake_case				=		self.get_edges()
											for edge in edges:
																	__snake_case		,					__snake_case		,					__snake_case				=		edge
																	edges.remove((tail, head, weight)						)
											for i in range(len(SCREAMING_SNAKE_CASE						)						):
																	__snake_case				=		list(edges[i]						)

											edges.sort(key=lambda SCREAMING_SNAKE_CASE						: e[2]						)
											for i in range(len(SCREAMING_SNAKE_CASE						) - 1						):
																	if edges[i][2] >= edges[i + 1][2]:
																							__snake_case				=		edges[i][2] + 1
											for edge in edges:
																	__snake_case		,					__snake_case		,					__snake_case				=		edge
																	__snake_case				=		weight
																	__snake_case				=		weight


					def __str__(						self	:		Tuple						)			->	List[Any]:




											'''simple docstring'''

											__snake_case				=		""
											for tail in self.adjacency:
																	for head in self.adjacency[tail]:
																							__snake_case				=		self.adjacency[head][tail]
																							string += f'''{head} -> {tail} == {weight}\n'''
											return string.rstrip("\n"						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		int						)			->	Optional[Any]:




											'''simple docstring'''

											__snake_case				=		[]
											for tail in self.adjacency:
																	for head in self.adjacency[tail]:
																							output.append((tail, head, self.adjacency[head][tail])						)
											return output


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Any						)			->	List[Any]:




											'''simple docstring'''

											return self.adjacency.keys()


					@staticmethod
					def 							SCREAMING_SNAKE_CASE_  (						SCREAMING_SNAKE_CASE	:		Any=None     ,    SCREAMING_SNAKE_CASE	:		List[Any]=None						)			->	int:




											'''simple docstring'''

											__snake_case				=		Graph()
											if vertices is None:
																	__snake_case				=		[]
											if edges is None:
																	__snake_case				=		[]
											for vertex in vertices:
																	g.add_vertex(SCREAMING_SNAKE_CASE						)
											for edge in edges:
																	g.add_edge(*SCREAMING_SNAKE_CASE						)
											return g






					class     UpperCamelCase:


										def __init__(						self	:		Union[str, Any]						)			->	Union[str, Any]:




																'''simple docstring'''

																__snake_case				=		{}
																__snake_case				=		{}


										def __len__(						self	:		List[str]						)			->	Dict:




																'''simple docstring'''

																return len(self.parent						)


										def 							SCREAMING_SNAKE_CASE_  (						self	:		List[str]     ,    SCREAMING_SNAKE_CASE	:		int						)			->	List[str]:




																'''simple docstring'''

																if item in self.parent:
																						return self.find(SCREAMING_SNAKE_CASE						)

																__snake_case				=		item
																__snake_case				=		0
																return item


										def 							SCREAMING_SNAKE_CASE_  (						self	:		Optional[Any]     ,    SCREAMING_SNAKE_CASE	:		List[str]						)			->	Any:




																'''simple docstring'''

																if item not in self.parent:
																						return self.make_set(SCREAMING_SNAKE_CASE						)
																if item != self.parent[item]:
																						__snake_case				=		self.find(self.parent[item]						)
																return self.parent[item]






										def 							SCREAMING_SNAKE_CASE_  (						self	:		Optional[Any]     ,    SCREAMING_SNAKE_CASE	:		int     ,    SCREAMING_SNAKE_CASE	:		Union[str, Any]						)			->	Dict:




																'''simple docstring'''

																__snake_case				=		self.find(SCREAMING_SNAKE_CASE						)
																__snake_case				=		self.find(SCREAMING_SNAKE_CASE						)

																if roota == roota:
																						return roota

																if self.rank[roota] > self.rank[roota]:
																						__snake_case				=		roota
																						return roota

																if self.rank[roota] < self.rank[roota]:
																						__snake_case				=		roota
																						return roota

																if self.rank[roota] == self.rank[roota]:
																						self.rank[roota] += 1
																						__snake_case				=		roota
																						return roota
																return None




					@staticmethod
					def 							SCREAMING_SNAKE_CASE_  (						SCREAMING_SNAKE_CASE	:		str						)			->	Any:




											'''simple docstring'''

											__snake_case				=		graph.num_vertices

											__snake_case				=		Graph.UnionFind()
											__snake_case				=		[]
											while num_components > 1:
																	__snake_case				=		{}
																	for vertex in graph.get_vertices():
																							__snake_case				=		-1

																	__snake_case				=		graph.get_edges()
																	for edge in edges:
																							__snake_case		,					__snake_case		,					__snake_case				=		edge
																							edges.remove((tail, head, weight)						)
																	for edge in edges:
																							__snake_case		,					__snake_case		,					__snake_case				=		edge
																							__snake_case				=		union_find.find(SCREAMING_SNAKE_CASE						)
																							__snake_case				=		union_find.find(SCREAMING_SNAKE_CASE						)
																							if seta != seta:
																													if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
																																			__snake_case				=		[head, tail, weight]

																													if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
																																			__snake_case				=		[head, tail, weight]
																	for vertex in cheap_edge:
																							if cheap_edge[vertex] != -1:
																													__snake_case		,					__snake_case		,					__snake_case				=		cheap_edge[vertex]
																													if union_find.find(SCREAMING_SNAKE_CASE						) != union_find.find(SCREAMING_SNAKE_CASE						):
																																			union_find.union(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE						)
																																			mst_edges.append(cheap_edge[vertex]						)
																																			__snake_case				=		num_components - 1
											__snake_case				=		Graph.build(edges=SCREAMING_SNAKE_CASE						)
											return mst





