code: 
  
  
  
  import os
  from functools import partial
  from glob import glob
  
  import faiss
  from datasets import Features, Sequence, Value, concatenate_datasets, load_dataset, load_from_disk
  
  from transformers import DPRContextEncoder, DPRContextEncoderTokenizerFast
  
  
  
  
  
  
  def 			__lowercase     (				a__							,     a__=1_00							,     a__=" "     )       ->				Dict:
  							__SCREAMING_SNAKE_CASE								=      text.split(a__     )
  							return [character.join(text[i : i + n]     ).strip() for i in range(0							,     len(a__     )							,     a__     )]
  
  
  
  
  
  
  def 			__lowercase     (				a__     )       ->				str:
  							__SCREAMING_SNAKE_CASE							, __SCREAMING_SNAKE_CASE								=      [], []
  							for title, text in zip(documents['title']							,     documents['text']     ):
  														if text is not None:
  																					for passage in split_text(a__     ):
  																												titles.append(title if title is not None else ''     )
  																												texts.append(a__     )
  							return {"title": titles, "text": texts}
  
  
  
  
  
  
  def 			__lowercase     (				a__							,     a__							,     a__							,     a__							,     a__							,     a__     )       ->				Optional[Any]:
  							__SCREAMING_SNAKE_CASE								=      load_dataset(
  							    'csv'							,     data_files=[csv_path]							,     split='train'							,     delimiter='\t'							,     column_names=['title', 'text']     )
  							__SCREAMING_SNAKE_CASE								=      kb_dataset.map(
  							    a__							,     batched=a__							,     num_proc=1     )  # if you want you can load already splitted csv.
  							__SCREAMING_SNAKE_CASE								=      [kb_dataset.shard(a__							,     a__							,     contiguous=a__     ) for i in range(a__     )]
  							__SCREAMING_SNAKE_CASE								=      kb_list[process_num]
  
  							__SCREAMING_SNAKE_CASE								=      'data_' + str(a__     )
  							__SCREAMING_SNAKE_CASE								=      os.path.join(a__							,     a__     )
  
  							__SCREAMING_SNAKE_CASE								=      DPRContextEncoderTokenizerFast.from_pretrained('facebook/dpr-ctx_encoder-multiset-base'     )
  							__SCREAMING_SNAKE_CASE								=      ctx_encoder.to(device=a__     )
  
  							def embed(
  							    a__							,     a__							,     a__							,     a__     ) -> dict:
  														__SCREAMING_SNAKE_CASE								=      ctx_tokenizer(
  														    documents['title']							,     documents['text']							,     truncation=a__							,     padding='longest'							,     return_tensors='pt'     )['input_ids']
  														__SCREAMING_SNAKE_CASE								=      ctx_encoder(input_ids.to(device=a__     )							,     return_dict=a__     ).pooler_output
  														return {"embeddings": embeddings.detach().cpu().numpy()}
  
  							__SCREAMING_SNAKE_CASE								=      Features(
  							    {'text': Value('string'     ), 'title': Value('string'     ), 'embeddings': Sequence(Value('float32'     )     )}     )  # optional, save as float32 instead of float64 to save space
  
  							__SCREAMING_SNAKE_CASE								=      data_shrad.map(
  							    partial(a__							,     ctx_encoder=a__							,     ctx_tokenizer=a__							,     device=a__     )							,     batched=a__							,     batch_size=16							,     features=a__							,     )
  							dataset.save_to_disk(a__     )
  
  
  
  
  
  
  def 			__lowercase     (				a__							,     a__     )       ->				Tuple:
  							__SCREAMING_SNAKE_CASE								=      []
  
  							for shard_address in glob(str(a__     ) + '/*/'     ):
  														data_shard_list.append(load_from_disk(a__     )     )
  
  							__SCREAMING_SNAKE_CASE								=      concatenate_datasets(a__     )
  							faiss.omp_set_num_threads(96     )
  
  							__SCREAMING_SNAKE_CASE								=      faiss.IndexHNSWFlat(7_68							,     1_28							,     faiss.METRIC_INNER_PRODUCT     )
  							concat.add_faiss_index('embeddings'							,     custom_index=a__     )
  							concat.get_index('embeddings'     ).save(
  							    a__     )  # since we load the index in to memory,we can directly update the index in the disk
  
  
  
  
  
  
  
style_context: 
  
  
  
  from __future__ import annotations
  
  from collections.abc import Iterable
  from dataclasses import dataclass
  from typing import Any
  
  class      UpperCAmelCase_						:
  
  						'''simple docstring'''
  
  
  
  
  						UpperCamelCase__    :				List[str]       						=						('''_front''', '''_back''', '''_len''')
  
  						@dataclass
  						class      UpperCAmelCase_						:
  
  												'''simple docstring'''
  
  
  
  
  												UpperCamelCase__    :				Any       						=						None
  												UpperCamelCase__    :				Deque._Node | None       						=						None
  												UpperCamelCase__    :				Deque._Node | None       						=						None
  
  
  
  
  
  
  
  						class      UpperCAmelCase_						:
  
  												'''simple docstring'''
  
  
  
  
  												UpperCamelCase__    :				Optional[int]       						=						('''_cur''',)
  
  
  
  
  
  
  												def __init__(					self   ,							_A	):
  
  
  
  
  
  
  
  																			'''simple docstring'''
  
  																			__SCREAMING_SNAKE_CASE								=      cur
  
  
  
  
  
  
  												def __iter__(					self	):
  
  
  
  
  
  
  
  																			'''simple docstring'''
  
  																			return self
  
  
  
  
  
  
  												def  _A			(					self	):
  
  
  
  
  
  
  
  																			'''simple docstring'''
  
  																			if self._cur is None:
  																										# finished iterating
  																										raise StopIteration
  																			__SCREAMING_SNAKE_CASE								=      self._cur.val
  																			__SCREAMING_SNAKE_CASE								=      self._cur.next_node
  
  																			return val
  
  
  
  
  
  
  
  						def __init__(					self   ,							_A = None	):
  
  
  
  
  
  
  
  													'''simple docstring'''
  
  													__SCREAMING_SNAKE_CASE								=      None
  													__SCREAMING_SNAKE_CASE								=      None
  													__SCREAMING_SNAKE_CASE								=      0
  
  													if iterable is not None:
  																				# append every value to the deque
  																				for val in iterable:
  																											self.append(_A	)
  
  
  
  
  
  
  						def  _A			(					self   ,							_A	):
  
  
  
  
  
  
  
  													'''simple docstring'''
  
  													__SCREAMING_SNAKE_CASE								=      self._Node(_A   ,							_A   ,							_A	)
  													if self.is_empty():
  																				# front = back
  																				__SCREAMING_SNAKE_CASE								=      __SCREAMING_SNAKE_CASE								=      node
  																				__SCREAMING_SNAKE_CASE								=      1
  													else:
  																				# connect nodes
  																				__SCREAMING_SNAKE_CASE								=      node
  																				__SCREAMING_SNAKE_CASE								=      self._back
  																				__SCREAMING_SNAKE_CASE								=      node  # assign new back to the new node
  
  																				self._len += 1
  
  																				# make sure there were no errors
  																				assert not self.is_empty(), "Error on appending value."
  
  
  
  
  
  
  						def  _A			(					self   ,							_A	):
  
  
  
  
  
  
  
  													'''simple docstring'''
  
  													__SCREAMING_SNAKE_CASE								=      self._Node(_A   ,							_A   ,							_A	)
  													if self.is_empty():
  																				# front = back
  																				__SCREAMING_SNAKE_CASE								=      __SCREAMING_SNAKE_CASE								=      node
  																				__SCREAMING_SNAKE_CASE								=      1
  													else:
  																				# connect nodes
  																				__SCREAMING_SNAKE_CASE								=      self._front
  																				__SCREAMING_SNAKE_CASE								=      node
  																				__SCREAMING_SNAKE_CASE								=      node  # assign new front to the new node
  
  																				self._len += 1
  
  																				# make sure there were no errors
  																				assert not self.is_empty(), "Error on appending value."
  
  
  
  
  
  
  						def  _A			(					self   ,							_A	):
  
  
  
  
  
  
  
  													'''simple docstring'''
  
  													for val in iterable:
  																				self.append(_A	)
  
  
  
  
  
  
  						def  _A			(					self   ,							_A	):
  
  
  
  
  
  
  
  													'''simple docstring'''
  
  													for val in iterable:
  																				self.appendleft(_A	)
  
  
  
  
  
  
  						def  _A			(					self	):
  
  
  
  
  
  
  
  													'''simple docstring'''
  
  													assert not self.is_empty(), "Deque is empty."
  
  													__SCREAMING_SNAKE_CASE								=      self._back
  													__SCREAMING_SNAKE_CASE								=      self._back.prev_node  # set new back
  													# drop the last node - python will deallocate memory automatically
  													__SCREAMING_SNAKE_CASE								=      None
  
  													self._len -= 1
  
  													return topop.val
  
  
  
  
  
  
  						def  _A			(					self	):
  
  
  
  
  
  
  
  													'''simple docstring'''
  
  													assert not self.is_empty(), "Deque is empty."
  
  													__SCREAMING_SNAKE_CASE								=      self._front
  													__SCREAMING_SNAKE_CASE								=      self._front.next_node  # set new front and drop the first node
  													__SCREAMING_SNAKE_CASE								=      None
  
  													self._len -= 1
  
  													return topop.val
  
  
  
  
  
  
  						def  _A			(					self	):
  
  
  
  
  
  
  
  													'''simple docstring'''
  
  													return self._front is None
  
  
  
  
  
  
  						def __len__(					self	):
  
  
  
  
  
  
  
  													'''simple docstring'''
  
  													return self._len
  
  
  
  
  
  
  						def __eq__(					self   ,							_A	):
  
  
  
  
  
  
  
  													'''simple docstring'''
  
  													if not isinstance(_A   ,							_A	):
  																				return NotImplemented
  
  													__SCREAMING_SNAKE_CASE								=      self._front
  													__SCREAMING_SNAKE_CASE								=      other._front
  
  													# if the length of the dequeues are not the same, they are not equal
  													if len(self	) != len(_A	):
  																				return False
  
  													while me is not None and oth is not None:
  																				# compare every value
  																				if me.val != oth.val:
  																											return False
  																				__SCREAMING_SNAKE_CASE								=      me.next_node
  																				__SCREAMING_SNAKE_CASE								=      oth.next_node
  
  													return True
  
  
  
  
  
  
  						def __iter__(					self	):
  
  
  
  
  
  
  
  													'''simple docstring'''
  
  													return Deque._Iterator(self._front	)
  
  
  
  
  
  
  						def __repr__(					self	):
  
  
  
  
  
  
  
  													'''simple docstring'''
  
  													__SCREAMING_SNAKE_CASE								=      []
  													__SCREAMING_SNAKE_CASE								=      self._front
  													while aux is not None:
  																				# append the values in a list to display
  																				values_list.append(aux.val	)
  																				__SCREAMING_SNAKE_CASE								=      aux.next_node
  
  													return f"""[{", ".join(repr(_A	) for val in values_list	)}]"""
  
  
  if __name__ == "__main__":
  			import doctest
  
  			doctest.testmod()
  
  
  
  
  
  
  