






import logging
import random

import ray

from transformers import RagConfig, RagRetriever, RagTokenizer
from transformers.models.rag.retrieval_rag import CustomHFIndex


lowerCAmelCase_           = logging.getLogger(__name__)
class      UpperCamelCase :







		"""simple docstring"""



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


						'''simple docstring'''
						A	 =      False
		def       A(  self		:       str						,_SCREAMING_SNAKE_CASE		:       Optional[Any]						,_SCREAMING_SNAKE_CASE		:       Optional[int]						,_SCREAMING_SNAKE_CASE		:       Optional[int]						,_SCREAMING_SNAKE_CASE		:       Dict		)    ->   Dict:


						'''simple docstring'''
						if not self.initialized:
										A	 =      RagRetriever(
										    _SCREAMING_SNAKE_CASE						,question_encoder_tokenizer=_SCREAMING_SNAKE_CASE						,generator_tokenizer=_SCREAMING_SNAKE_CASE						,index=_SCREAMING_SNAKE_CASE						,init_retrieval=_SCREAMING_SNAKE_CASE						,)
										A	 =      True
		def       A(  self		:       Any		)    ->   Optional[int]:


						'''simple docstring'''
						self.retriever.index.init_index()







		def       A(  self		:       List[Any]						,_SCREAMING_SNAKE_CASE		:       Optional[Any]						,_SCREAMING_SNAKE_CASE		:       Optional[int]		)    ->   Dict:


						'''simple docstring'''
						A ,		A	 =      self.retriever._main_retrieve(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		)
						return doc_ids, retrieved_doc_embeds


class      UpperCamelCase (				snake_case__ ):







		"""simple docstring"""



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


						'''simple docstring'''
						if index is not None and index.is_initialized() and len(_SCREAMING_SNAKE_CASE		) > 0:
										raise ValueError(
										    'When using Ray for distributed fine-tuning, '
										    'you\'ll need to provide the paths instead, '
										    'as the dataset and the index are loaded '
										    'separately. More info in examples/rag/use_own_knowledge_dataset.py '		)
						super().__init__(
						    _SCREAMING_SNAKE_CASE						,question_encoder_tokenizer=_SCREAMING_SNAKE_CASE						,generator_tokenizer=_SCREAMING_SNAKE_CASE						,index=_SCREAMING_SNAKE_CASE						,init_retrieval=_SCREAMING_SNAKE_CASE						,)
						A	 =      retrieval_workers
						if len(self.retrieval_workers		) > 0:
										ray.get(
										    [
										        worker.create_rag_retriever.remote(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		)
										        for worker in self.retrieval_workers
										    ]		)
		def       A(  self		:       Tuple		)    ->   int:


						'''simple docstring'''
						logger.info('initializing retrieval'		)

						if len(self.retrieval_workers		) > 0:
										ray.get([worker.init_retrieval.remote() for worker in self.retrieval_workers]		)
						else:
										# Non-distributed training. Load index into this same process.
										self.index.init_index()
		def       A(  self		:       Tuple						,_SCREAMING_SNAKE_CASE		:       Union[str, Any]						,_SCREAMING_SNAKE_CASE		:       int		)    ->   Dict:


						'''simple docstring'''
						if len(self.retrieval_workers		) > 0:
										# Select a random retrieval actor.
										A	 =      self.retrieval_workers[random.randint(0						,len(self.retrieval_workers		) - 1		)]
										A ,		A	 =      ray.get(random_worker.retrieve.remote(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		)		)
						else:
										A ,		A	 =      self._main_retrieve(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		)
						return retrieved_doc_embeds, doc_ids, self.index.get_doc_dicts(_SCREAMING_SNAKE_CASE		)
		@classmethod
		def       A(  cls		:       Union[str, Any]						,_SCREAMING_SNAKE_CASE		:       Any						,_SCREAMING_SNAKE_CASE		:       Union[str, Any]=None						,**_SCREAMING_SNAKE_CASE		:       Any		)    ->   List[str]:


						'''simple docstring'''
						return super(_SCREAMING_SNAKE_CASE						,cls		).get_tokenizers(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE						,**_SCREAMING_SNAKE_CASE		)







		@classmethod
		def       A(  cls		:       Union[str, Any]						,_SCREAMING_SNAKE_CASE		:       Any						,_SCREAMING_SNAKE_CASE		:       Dict						,_SCREAMING_SNAKE_CASE		:       Any=None						,**_SCREAMING_SNAKE_CASE		:       int		)    ->   str:


						'''simple docstring'''
						A	 =      kwargs.pop('config'						,_SCREAMING_SNAKE_CASE		) or RagConfig.from_pretrained(_SCREAMING_SNAKE_CASE						,**_SCREAMING_SNAKE_CASE		)
						A	 =      RagTokenizer.from_pretrained(_SCREAMING_SNAKE_CASE						,config=_SCREAMING_SNAKE_CASE		)
						A	 =      rag_tokenizer.question_encoder
						A	 =      rag_tokenizer.generator
						if indexed_dataset is not None:
										A	 =      'custom'
										A	 =      CustomHFIndex(config.retrieval_vector_size						,_SCREAMING_SNAKE_CASE		)
						else:
										A	 =      cls._build_index(_SCREAMING_SNAKE_CASE		)
						return cls(
						    _SCREAMING_SNAKE_CASE						,question_encoder_tokenizer=_SCREAMING_SNAKE_CASE						,generator_tokenizer=_SCREAMING_SNAKE_CASE						,retrieval_workers=_SCREAMING_SNAKE_CASE						,index=_SCREAMING_SNAKE_CASE						,)













from collections.abc import Callable
class      UpperCamelCase :







		"""simple docstring"""



		def __init__(  self		:       Tuple						,_SCREAMING_SNAKE_CASE		:       Callable | None = None		)    ->   None:


						'''simple docstring'''
						# Stores actual heap items.
						A	 =      []
						# Stores indexes of each item for supporting updates and deletion.
						A	 =      {}
						# Stores current size of heap.
						A	 =      0
						# Stores function used to evaluate the score of an item on which basis ordering
						# will be done.
						A	 =      key or (lambda _SCREAMING_SNAKE_CASE		: x)
		def       A(  self		:       Tuple						,_SCREAMING_SNAKE_CASE		:       int		)    ->   int | None:


						'''simple docstring'''
						return int((i - 1) / 2		) if i > 0 else None
		def       A(  self		:       Union[str, Any]						,_SCREAMING_SNAKE_CASE		:       int		)    ->   int | None:


						'''simple docstring'''
						A	 =      int(2 * i + 1		)
						return left if 0 < left < self.size else None
		def       A(  self		:       Union[str, Any]						,_SCREAMING_SNAKE_CASE		:       int		)    ->   int | None:


						'''simple docstring'''
						A	 =      int(2 * i + 2		)
						return right if 0 < right < self.size else None
		def       A(  self		:       List[str]						,_SCREAMING_SNAKE_CASE		:       int						,_SCREAMING_SNAKE_CASE		:       int		)    ->   None:


						'''simple docstring'''
						A ,		A	 =      (
						    self.pos_map[self.arr[j][0]],
						    self.pos_map[self.arr[i][0]],
						)
						# Then swap the items in the list.
						A ,		A	 =      self.arr[j], self.arr[i]
		def       A(  self		:       List[str]						,_SCREAMING_SNAKE_CASE		:       int						,_SCREAMING_SNAKE_CASE		:       int		)    ->   bool:


						'''simple docstring'''
						return self.arr[i][1] < self.arr[j][1]
		def       A(  self		:       int						,_SCREAMING_SNAKE_CASE		:       int		)    ->   int:


						'''simple docstring'''
						A	 =      self._left(_SCREAMING_SNAKE_CASE		)
						A	 =      self._right(_SCREAMING_SNAKE_CASE		)
						A	 =      i

						if left is not None and not self._cmp(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		):
										A	 =      left
						if right is not None and not self._cmp(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		):
										A	 =      right

						return valid_parent
		def       A(  self		:       Any						,_SCREAMING_SNAKE_CASE		:       int		)    ->   None:


						'''simple docstring'''
						A	 =      self._parent(_SCREAMING_SNAKE_CASE		)
						while parent is not None and not self._cmp(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		):
										self._swap(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		)
										A ,		A	 =      parent, self._parent(_SCREAMING_SNAKE_CASE		)
		def       A(  self		:       List[Any]						,_SCREAMING_SNAKE_CASE		:       int		)    ->   None:


						'''simple docstring'''
						A	 =      self._get_valid_parent(_SCREAMING_SNAKE_CASE		)
						while valid_parent != index:
										self._swap(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		)
										A ,		A	 =      valid_parent, self._get_valid_parent(_SCREAMING_SNAKE_CASE		)
		def       A(  self		:       Optional[Any]						,_SCREAMING_SNAKE_CASE		:       int						,_SCREAMING_SNAKE_CASE		:       int		)    ->   None:


						'''simple docstring'''
						if item not in self.pos_map:
										return
						A	 =      self.pos_map[item]
						A	 =      [item, self.key(_SCREAMING_SNAKE_CASE		)]
						# Make sure heap is right in both up and down direction.
						# Ideally only one of them will make any change.
						self._heapify_up(_SCREAMING_SNAKE_CASE		)
						self._heapify_down(_SCREAMING_SNAKE_CASE		)
		def       A(  self		:       int						,_SCREAMING_SNAKE_CASE		:       int		)    ->   None:


						'''simple docstring'''
						if item not in self.pos_map:
										return
						A	 =      self.pos_map[item]
						del self.pos_map[item]
						A	 =      self.arr[self.size - 1]
						A	 =      index
						self.size -= 1
						# Make sure heap is right in both up and down direction. Ideally only one
						# of them will make any change- so no performance loss in calling both.
						if self.size > index:
										self._heapify_up(_SCREAMING_SNAKE_CASE		)
										self._heapify_down(_SCREAMING_SNAKE_CASE		)
		def       A(  self		:       Optional[Any]						,_SCREAMING_SNAKE_CASE		:       int						,_SCREAMING_SNAKE_CASE		:       int		)    ->   None:


						'''simple docstring'''
						A	 =      len(self.arr		)
						if arr_len == self.size:
										self.arr.append([item, self.key(_SCREAMING_SNAKE_CASE		)]		)
						else:
										A	 =      [item, self.key(_SCREAMING_SNAKE_CASE		)]
						A	 =      self.size
						self.size += 1
						self._heapify_up(self.size - 1		)
		def       A(  self		:       str		)    ->   tuple | None:


						'''simple docstring'''
						return self.arr[0] if self.size else None







		def       A(  self		:       Any		)    ->   tuple | None:


						'''simple docstring'''
						A	 =      self.get_top()
						if top_item_tuple:
										self.delete_item(top_item_tuple[0]		)
						return top_item_tuple







def      snake_case		(							):
				pass


if __name__ == "__main__":
					import doctest

					doctest.testmod()





