



import logging
import os
from dataclasses import dataclass, field
from functools import partial
from pathlib import Path
from tempfile import TemporaryDirectory
from typing import List, Optional

import faiss
import torch
from datasets import Features, Sequence, Value, load_dataset

from transformers import DPRContextEncoder, DPRContextEncoderTokenizerFast, HfArgumentParser


a__      :				Optional[int]   	=			logging.getLogger(__name__)
torch.set_grad_enabled(False)
a__      :				Tuple   	=			"cuda" if torch.cuda.is_available() else "cpu"

def   _lowerCAmelCase   (						A__						,  A__=100						,  A__=" "	):
						lowercase__     =  text.split(A__	)
						return [character.join(text[i : i + n]	).strip() for i in range(0						,  len(A__	)						,  A__	)]

def   _lowerCAmelCase   (						A__	):
						lowercase__,	lowercase__     =  [], []
						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   _lowerCAmelCase   (						A__						,  A__						,  A__	):
						lowercase__     =  ctx_tokenizer(
						    documents['title']						,  documents['text']						,  truncation=A__						,  padding='longest'						,  return_tensors='pt'	)['input_ids']
						lowercase__     =  ctx_encoder(input_ids.to(device=A__	)						,  return_dict=A__	).pooler_output
						return {"embeddings": embeddings.detach().cpu().numpy()}

def   _lowerCAmelCase   (						A__						,  A__						,  A__						,  ):
						######################################
						logger.info('Step 1 - Create the dataset'	)
						######################################

						# The dataset needed for RAG must have three columns:
						# - title (string): title of the document
						# - text (string): text of a passage of the document
						# - embeddings (array of dimension d): DPR representation of the passage
						# Let's say you have documents in tab-separated csv files with columns "title" and "text"
						assert os.path.isfile(rag_example_args.csv_path	), "Please provide a valid path to a csv file"

						# You can load a Dataset object this way
						lowercase__     =  load_dataset(
						    'csv'						,  data_files=[rag_example_args.csv_path]						,  split='train'						,  delimiter='\t'						,  column_names=['title', 'text']	)

						# More info about loading csv files in the documentation: https://huggingface.co/docs/datasets/loading_datasets.html?highlight=csv#csv-files

						# Then split the documents into passages of 100 words
						lowercase__     =  dataset.map(A__						,  batched=A__						,  num_proc=processing_args.num_proc	)

						# And compute the embeddings
						lowercase__     =  DPRContextEncoder.from_pretrained(rag_example_args.dpr_ctx_encoder_model_name	).to(device=A__	)
						lowercase__     =  DPRContextEncoderTokenizerFast.from_pretrained(rag_example_args.dpr_ctx_encoder_model_name	)
						lowercase__     =  Features(
						    {'text': Value('string'	), 'title': Value('string'	), 'embeddings': Sequence(Value('float32'	)	)}	)  # optional, save as float32 instead of float64 to save space
						lowercase__     =  dataset.map(
						    partial(A__						,  ctx_encoder=A__						,  ctx_tokenizer=A__	)						,  batched=A__						,  batch_size=processing_args.batch_size						,  features=A__						,  )

						# And finally save your dataset
						lowercase__     =  os.path.join(rag_example_args.output_dir						,  'my_knowledge_dataset'	)
						dataset.save_to_disk(A__	)
						# from datasets import load_from_disk
						# dataset = load_from_disk(passages_path)  # to reload the dataset

						######################################
						logger.info('Step 2 - Index the dataset'	)
						######################################

						# Let's use the Faiss implementation of HNSW for fast approximate nearest neighbor search
						lowercase__     =  faiss.IndexHNSWFlat(index_hnsw_args.d						,  index_hnsw_args.m						,  faiss.METRIC_INNER_PRODUCT	)
						dataset.add_faiss_index('embeddings'						,  custom_index=A__	)

						# And save the index
						lowercase__     =  os.path.join(rag_example_args.output_dir						,  'my_knowledge_dataset_hnsw_index.faiss'	)
						dataset.get_index('embeddings'	).save(A__	)
						# dataset.load_faiss_index("embeddings", index_path)  # to reload the index



@dataclass
class       UpperCAmelCase__:

			'''simple docstring'''




			A    :  str       				=    field(
			    default=str(Path(lowerCamelCase	).parent / "test_run" / "dummy-kb" / "my_knowledge_dataset.csv"	)     ,							metadata={"help": "Path to a tab-separated csv file with columns 'title' and 'text'"}     ,							)
			A    :  Optional[str]       				=    field(
			    default=lowerCamelCase     ,							metadata={"help": "Question that is passed as input to RAG. Default is 'What does Moses' rod turn into ?'."}     ,							)
			A    :  str       				=    field(
			    default="facebook/rag-sequence-nq"     ,							metadata={"help": "The RAG model to use. Either 'facebook/rag-sequence-nq' or 'facebook/rag-token-nq'"}     ,							)
			A    :  str       				=    field(
			    default="facebook/dpr-ctx_encoder-multiset-base"     ,							metadata={
			        "help": (
			            "The DPR context encoder model to use. Either 'facebook/dpr-ctx_encoder-single-nq-base' or"
			            " 'facebook/dpr-ctx_encoder-multiset-base'"
			        )
			    }     ,							)
			A    :  Optional[str]       				=    field(
			    default=str(Path(lowerCamelCase	).parent / "test_run" / "dummy-kb"	)     ,							metadata={"help": "Path to a directory where the dataset passages and the index will be saved"}     ,							)



@dataclass
class       UpperCAmelCase__:

			'''simple docstring'''




			A    :  Optional[int]       				=    field(
			    default=lowerCamelCase     ,							metadata={
			        "help": "The number of processes to use to split the documents into passages. Default is single process."
			    }     ,							)
			A    :  int       				=    field(
			    default=16     ,							metadata={
			        "help": "The batch size to use when computing the passages embeddings using the DPR context encoder."
			    }     ,							)



@dataclass
class       UpperCAmelCase__:

			'''simple docstring'''




			A    :  int       				=    field(
			    default=768     ,							metadata={"help": "The dimension of the embeddings to pass to the HNSW Faiss index."}     ,							)
			A    :  int       				=    field(
			    default=128     ,							metadata={
			        "help": (
			            "The number of bi-directional links created for every new element during the HNSW index construction."
			        )
			    }     ,							)


if __name__ == "__main__":
							logging.basicConfig(level=logging.WARNING)
							logger.setLevel(logging.INFO)

							a__      :				Optional[int]   	=			HfArgumentParser((RagExampleArguments, ProcessingArguments, IndexHnswArguments))
							a__      :				Optional[int]   	=			parser.parse_args_into_dataclasses()
							with TemporaryDirectory() as tmp_dir:
														a__      :				int   	=			rag_example_args.output_dir or tmp_dir
														main(rag_example_args, processing_args, index_hnsw_args)





# Imports
import numpy as np



class       UpperCAmelCase__:

   '''simple docstring'''




   def __init__(						self  :			Any			,				lowerCAmelCase  :			Dict=None			,				lowerCAmelCase  :			List[Any]=None			,				lowerCAmelCase  :			List[Any]=None			,				lowerCAmelCase  :			List[str]=None			,				lowerCAmelCase  :			List[str]=None)	->				Dict:




         """simple docstring"""

         self.set_matricies(red=lowerCAmelCase			,				green=lowerCAmelCase			,				blue=lowerCAmelCase			,				red_edge=lowerCAmelCase			,				nir=lowerCAmelCase)


   def 			UpperCAmelCase		(						self  :			Dict			,				lowerCAmelCase  :			Dict=None			,				lowerCAmelCase  :			Union[str, Any]=None			,				lowerCAmelCase  :			Tuple=None			,				lowerCAmelCase  :			str=None			,				lowerCAmelCase  :			str=None)	->				int:




         """simple docstring"""

         if red is not None:
               lowercase__     =  red
         if green is not None:
               lowercase__     =  green
         if blue is not None:
               lowercase__     =  blue
         if red_edge is not None:
               lowercase__     =  red_edge
         if nir is not None:
               lowercase__     =  nir
         return True


   def 			UpperCAmelCase		(						self  :			Optional[int]			,				lowerCAmelCase  :			Union[str, Any]=""			,				lowerCAmelCase  :			Tuple=None			,				lowerCAmelCase  :			Optional[Any]=None			,				lowerCAmelCase  :			Optional[Any]=None			,				lowerCAmelCase  :			List[Any]=None			,				lowerCAmelCase  :			Dict=None)	->				Union[str, Any]:




         """simple docstring"""

         self.set_matricies(red=lowerCAmelCase			,				green=lowerCAmelCase			,				blue=lowerCAmelCase			,				red_edge=lowerCAmelCase			,				nir=lowerCAmelCase)
         lowercase__     =  {
             'ARVI2': self.arvaa,
             'CCCI': self.ccci,
             'CVI': self.cvi,
             'GLI': self.gli,
             'NDVI': self.ndvi,
             'BNDVI': self.bndvi,
             'redEdgeNDVI': self.red_edge_ndvi,
             'GNDVI': self.gndvi,
             'GBNDVI': self.gbndvi,
             'GRNDVI': self.grndvi,
             'RBNDVI': self.rbndvi,
             'PNDVI': self.pndvi,
             'ATSAVI': self.atsavi,
             'BWDRVI': self.bwdrvi,
             'CIgreen': self.ci_green,
             'CIrededge': self.ci_rededge,
             'CI': self.ci,
             'CTVI': self.ctvi,
             'GDVI': self.gdvi,
             'EVI': self.evi,
             'GEMI': self.gemi,
             'GOSAVI': self.gosavi,
             'GSAVI': self.gsavi,
             'Hue': self.hue,
             'IVI': self.ivi,
             'IPVI': self.ipvi,
             'I': self.i,
             'RVI': self.rvi,
             'MRVI': self.mrvi,
             'MSAVI': self.m_savi,
             'NormG': self.norm_g,
             'NormNIR': self.norm_nir,
             'NormR': self.norm_r,
             'NGRDI': self.ngrdi,
             'RI': self.ri,
             'S': self.s,
             'IF': self._if,
             'DVI': self.dvi,
             'TVI': self.tvi,
             'NDRE': self.ndre,
         }

         try:
               return funcs[index]()
         except KeyError:
               print('Index not in the list!')
               return False


   def 			UpperCAmelCase		(						self  :			Optional[int])	->				List[str]:




         """simple docstring"""

         return -0.18 + (1.17 * ((self.nir - self.red) / (self.nir + self.red)))


   def 			UpperCAmelCase		(						self  :			int)	->				Any:




         """simple docstring"""

         return ((self.nir - self.redEdge) / (self.nir + self.redEdge)) / (
             (self.nir - self.red) / (self.nir + self.red)
         )


   def 			UpperCAmelCase		(						self  :			str)	->				Optional[int]:




         """simple docstring"""

         return self.nir * (self.red / (self.green**2))


   def 			UpperCAmelCase		(						self  :			List[str])	->				Optional[int]:




         """simple docstring"""

         return (2 * self.green - self.red - self.blue) / (
             2 * self.green + self.red + self.blue
         )


   def 			UpperCAmelCase		(						self  :			Tuple)	->				Any:




         """simple docstring"""

         return (self.nir - self.red) / (self.nir + self.red)


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




         """simple docstring"""

         return (self.nir - self.blue) / (self.nir + self.blue)


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




         """simple docstring"""

         return (self.redEdge - self.red) / (self.redEdge + self.red)


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




         """simple docstring"""

         return (self.nir - self.green) / (self.nir + self.green)


   def 			UpperCAmelCase		(						self  :			Dict)	->				int:




         """simple docstring"""

         return (self.nir - (self.green + self.blue)) / (
             self.nir + (self.green + self.blue)
         )


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




         """simple docstring"""

         return (self.nir - (self.green + self.red)) / (
             self.nir + (self.green + self.red)
         )


   def 			UpperCAmelCase		(						self  :			Optional[Any])	->				Dict:




         """simple docstring"""

         return (self.nir - (self.blue + self.red)) / (self.nir + (self.blue + self.red))


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




         """simple docstring"""

         return (self.nir - (self.green + self.red + self.blue)) / (
             self.nir + (self.green + self.red + self.blue)
         )


   def 			UpperCAmelCase		(						self  :			Optional[int]			,				lowerCAmelCase  :			List[Any]=0.08			,				lowerCAmelCase  :			Optional[int]=1.22			,				lowerCAmelCase  :			int=0.03)	->				List[Any]:




         """simple docstring"""

         return a * (
             (self.nir - a * self.red - b)
             / (a * self.nir + self.red - a * b + x * (1 + a**2))
         )


   def 			UpperCAmelCase		(						self  :			Tuple)	->				Any:




         """simple docstring"""

         return (0.1 * self.nir - self.blue) / (0.1 * self.nir + self.blue)


   def 			UpperCAmelCase		(						self  :			int)	->				Tuple:




         """simple docstring"""

         return (self.nir / self.green) - 1


   def 			UpperCAmelCase		(						self  :			Any)	->				str:




         """simple docstring"""

         return (self.nir / self.redEdge) - 1


   def 			UpperCAmelCase		(						self  :			Any)	->				List[str]:




         """simple docstring"""

         return (self.red - self.blue) / self.red


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




         """simple docstring"""

         lowercase__     =  self.ndvi()
         return ((ndvi + 0.5) / (abs(ndvi + 0.5))) * (abs(ndvi + 0.5) ** (1 / 2))


   def 			UpperCAmelCase		(						self  :			List[Any])	->				str:




         """simple docstring"""

         return self.nir - self.green


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




         """simple docstring"""

         return 2.5 * (
             (self.nir - self.red) / (self.nir + 6 * self.red - 7.5 * self.blue + 1)
         )


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




         """simple docstring"""

         lowercase__     =  (2 * (self.nir**2 - self.red**2) + 1.5 * self.nir + 0.5 * self.red) / (
             self.nir + self.red + 0.5
         )
         return n * (1 - 0.25 * n) - (self.red - 0.1_25) / (1 - self.red)


   def 			UpperCAmelCase		(						self  :			int			,				lowerCAmelCase  :			int=0.16)	->				Dict:




         """simple docstring"""

         return (self.nir - self.green) / (self.nir + self.green + y)


   def 			UpperCAmelCase		(						self  :			str			,				lowerCAmelCase  :			Optional[int]=0.5)	->				Union[str, Any]:




         """simple docstring"""

         return ((self.nir - self.green) / (self.nir + self.green + n)) * (1 + n)


   def 			UpperCAmelCase		(						self  :			str)	->				int:




         """simple docstring"""

         return np.arctan(
             ((2 * self.red - self.green - self.blue) / 30.5) * (self.green - self.blue))


   def 			UpperCAmelCase		(						self  :			Union[str, Any]			,				lowerCAmelCase  :			int=None			,				lowerCAmelCase  :			List[str]=None)	->				Tuple:




         """simple docstring"""

         return (self.nir - b) / (a * self.red)


   def 			UpperCAmelCase		(						self  :			int)	->				Dict:




         """simple docstring"""

         return (self.nir / ((self.nir + self.red) / 2)) * (self.ndvi() + 1)


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




         """simple docstring"""

         return (self.red + self.green + self.blue) / 30.5


   def 			UpperCAmelCase		(						self  :			int)	->				str:




         """simple docstring"""

         return self.nir / self.red


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




         """simple docstring"""

         return (self.rvi() - 1) / (self.rvi() + 1)


   def 			UpperCAmelCase		(						self  :			Optional[int])	->				Optional[int]:




         """simple docstring"""

         return (
             (2 * self.nir + 1)
             - ((2 * self.nir + 1) ** 2 - 8 * (self.nir - self.red)) ** (1 / 2)
         ) / 2


   def 			UpperCAmelCase		(						self  :			Tuple)	->				Any:




         """simple docstring"""

         return self.green / (self.nir + self.red + self.green)


   def 			UpperCAmelCase		(						self  :			Any)	->				Optional[Any]:




         """simple docstring"""

         return self.nir / (self.nir + self.red + self.green)


   def 			UpperCAmelCase		(						self  :			List[Any])	->				Dict:




         """simple docstring"""

         return self.red / (self.nir + self.red + self.green)


   def 			UpperCAmelCase		(						self  :			Optional[Any])	->				Any:




         """simple docstring"""

         return (self.green - self.red) / (self.green + self.red)


   def 			UpperCAmelCase		(						self  :			Dict)	->				Tuple:




         """simple docstring"""

         return (self.red - self.green) / (self.red + self.green)


   def 			UpperCAmelCase		(						self  :			str)	->				int:




         """simple docstring"""

         lowercase__     =  np.max([np.max(self.red), np.max(self.green), np.max(self.blue)])
         lowercase__     =  np.min([np.min(self.red), np.min(self.green), np.min(self.blue)])
         return (max_value - min_value) / max_value


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




         """simple docstring"""

         return (2 * self.red - self.green - self.blue) / (self.green - self.blue)


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




         """simple docstring"""

         return self.nir / self.red


   def 			UpperCAmelCase		(						self  :			Dict)	->				Dict:




         """simple docstring"""

         return (self.ndvi() + 0.5) ** (1 / 2)



   def 			UpperCAmelCase		(						self  :			str)	->				List[Any]:




         """simple docstring"""

         return (self.nir - self.redEdge) / (self.nir + self.redEdge)
