






import json
import os
from typing import List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowercase  							= logging.get_logger(__name__)

lowercase  							= {
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
}

lowercase  							= {
    "vocab_file": {
        "microsoft/biogpt": "https://huggingface.co/microsoft/biogpt/resolve/main/vocab.json",
    },
    "merges_file": {"microsoft/biogpt": "https://huggingface.co/microsoft/biogpt/resolve/main/merges.txt"},
}

lowercase  							= {
    "microsoft/biogpt": 1024,
}





def 						__UpperCAmelCase      (					a_):
							snake_case_           =							set()
							snake_case_           =							word[0]
							for char in word[1:]:
														pairs.add((prev_char, char))
														snake_case_           =							char
							return pairs




class 			UpperCamelCase_				(      snake_case_    ):



	'''simple docstring'''




	lowerCAmelCase													=			VOCAB_FILES_NAMES
	lowerCAmelCase													=			PRETRAINED_VOCAB_FILES_MAP
	lowerCAmelCase													=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	lowerCAmelCase													=			['''input_ids''', '''attention_mask''']




	def __init__(	self	,      a	,      a	,      a="<unk>"	,      a="<s>"	,      a="</s>"	,      a="</s>"	,      a="<pad>"	,      **a	,      )	->   List[str]:
								super().__init__(
								    bos_token=a	,      eos_token=a	,      sep_token=a	,      unk_token=a	,      pad_token=a	,      **a	,      )

								try:
															import sacremoses
								except ImportError:
															raise ImportError(
															    'You need to install sacremoses to use BioGptTokenizer. '
															    'See https://pypi.org/project/sacremoses/ for installation.' )

								snake_case_           =							'en'
								snake_case_           =							sacremoses
								# cache of sm.MosesTokenizer instance
								snake_case_           =							{}
								snake_case_           =							{}
								with open(a	,      encoding='utf-8' ) as vocab_handle:
															snake_case_           =							json.load(a )
								snake_case_           =							{v: k for k, v in self.encoder.items()}
								with open(a	,      encoding='utf-8' ) as merges_handle:
															snake_case_           =							merges_handle.read().split('\n' )[:-1]
								snake_case_           =							[tuple(merge.split()[:2] ) for merge in merges]
								snake_case_           =							dict(zip(a	,      range(len(a ) ) ) )
								snake_case_           =							{}




	@property
	def 							_UpperCamelCase      (	self )	->   List[str]:
								return len(self.encoder )




	def 							_UpperCamelCase      (	self )	->   Any:
								return dict(self.encoder	,      **self.added_tokens_encoder )




	def 							_UpperCamelCase      (	self	,      a	,      a )	->   str:
								if lang not in self.cache_moses_tokenizer:
															snake_case_           =							self.sm.MosesTokenizer(lang=a )
															snake_case_           =							moses_tokenizer
								return self.cache_moses_tokenizer[lang].tokenize(
								    a	,      aggressive_dash_splits=a	,      return_str=a	,      escape=a )




	def 							_UpperCamelCase      (	self	,      a	,      a )	->   Optional[int]:
								if lang not in self.cache_moses_detokenizer:
															snake_case_           =							self.sm.MosesDetokenizer(lang=a )
															snake_case_           =							moses_detokenizer
								return self.cache_moses_detokenizer[lang].detokenize(a )




	def 							_UpperCamelCase      (	self	,      a )	->   Dict:
								snake_case_           =							tuple(token[:-1] ) + (token[-1] + '</w>',)
								if token in self.cache:
															return self.cache[token]
								snake_case_           =							get_pairs(a )

								if not pairs:
															return token + "</w>"

								while True:
															snake_case_           =							min(a	,      key=lambda a : self.bpe_ranks.get(a	,      float('inf' ) ) )
															if bigram not in self.bpe_ranks:
																						break
															snake_case_      ,		snake_case_           =							bigram
															snake_case_           =							[]
															snake_case_           =							0
															while i < len(a ):
																						try:
																													snake_case_           =							word.index(a	,      a )
																						except ValueError:
																													new_word.extend(word[i:] )
																													break
																						else:
																													new_word.extend(word[i:j] )
																													snake_case_           =							j

																						if word[i] == first and i < len(a ) - 1 and word[i + 1] == second:
																													new_word.append(first + second )
																													i += 2
																						else:
																													new_word.append(word[i] )
																													i += 1
															snake_case_           =							tuple(a )
															snake_case_           =							new_word
															if len(a ) == 1:
																						break
															else:
																						snake_case_           =							get_pairs(a )
								snake_case_           =							' '.join(a )
								if word == "\n  </w>":
															snake_case_           =							'\n</w>'
								snake_case_           =							word
								return word




	def 							_UpperCamelCase      (	self	,      a	,      a=False )	->   Any:
								if bypass_tokenizer:
															snake_case_           =							text.split()
								else:
															snake_case_           =							self.moses_tokenize(a	,      self.lang )

								snake_case_           =							[]
								for token in text:
															if token:
																						split_tokens.extend(list(self.bpe(a ).split(' ' ) ) )

								return split_tokens




	def 							_UpperCamelCase      (	self	,      a )	->   Any:
								return self.encoder.get(a	,      self.encoder.get(self.unk_token ) )




	def 							_UpperCamelCase      (	self	,      a )	->   Optional[Any]:
								return self.decoder.get(a	,      self.unk_token )




	def 							_UpperCamelCase      (	self	,      a )	->   Union[str, Any]:
								snake_case_           =							[t.replace(' '	,      '' ).replace('</w>'	,      ' ' ) for t in tokens]
								snake_case_           =							''.join(a ).split()
								# detokenize
								snake_case_           =							self.moses_detokenize(a	,      self.lang )
								return text




	def 							_UpperCamelCase      (	self	,      a	,      a = None )	->   List[int]:
								if token_ids_a is None:
															return [self.sep_token_id] + token_ids_a
								snake_case_           =							[self.sep_token_id]
								return sep + token_ids_a + sep + token_ids_a




	def 							_UpperCamelCase      (	self	,      a	,      a = None	,      a = False )	->   List[int]:
								if already_has_special_tokens:
															return super().get_special_tokens_mask(
															    token_ids_a=a	,      token_ids_a=a	,      already_has_special_tokens=a )
								# no bos used in fairseq
								if token_ids_a is not None:
															return [1] + ([0] * len(a )) + [1] + ([0] * len(a ))
								return [1] + ([0] * len(a ))




	def 							_UpperCamelCase      (	self	,      a	,      a = None )	->   List[int]:
								snake_case_           =							[self.sep_token_id]

								# no bos used in fairseq
								if token_ids_a is None:
															return len(token_ids_a + sep ) * [0]
								return len(token_ids_a + sep ) * [0] + len(token_ids_a + sep ) * [1]




	def 							_UpperCamelCase      (	self	,      a	,      a = None )	->   Tuple[str]:
								if not os.path.isdir(a ):
															logger.error(F'''Vocabulary path ({save_directory}) should be a directory''' )
															return
								snake_case_           =							os.path.join(
								    a	,      (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'] )
								snake_case_           =							os.path.join(
								    a	,      (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file'] )

								with open(a	,      'w'	,      encoding='utf-8' ) as f:
															f.write(json.dumps(self.encoder	,      indent=2	,      sort_keys=a	,      ensure_ascii=a ) + '\n' )

								snake_case_           =							0
								with open(a	,      'w'	,      encoding='utf-8' ) as writer:
															for bpe_tokens, token_index in sorted(self.bpe_ranks.items()	,      key=lambda a : kv[1] ):
																						if index != token_index:
																													logger.warning(
																													    F'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
																													    ' Please check that the tokenizer is not corrupted!' )
																													snake_case_           =							token_index
																						writer.write(' '.join(a ) + '\n' )
																						index += 1

								return vocab_file, merge_file




	def __getstate__(	self )	->   List[Any]:
								snake_case_           =							self.__dict__.copy()
								snake_case_           =							None
								return state






	def __setstate__(	self	,      a )	->   List[Any]:
								snake_case_           =							d

								try:
															import sacremoses
								except ImportError:
															raise ImportError(
															    'You need to install sacremoses to use XLMTokenizer. '
															    'See https://pypi.org/project/sacremoses/ for installation.' )

								snake_case_           =							sacremoses













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 						__UpperCAmelCase      (					a_							,					a_=1_00							,					a_=" "):
							snake_case_           =							text.split(a_)
							return [character.join(text[i : i + n]).strip() for i in range(0							,					len(a_)							,					a_)]





def 						__UpperCAmelCase      (					a_):
							snake_case_      ,		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 						__UpperCAmelCase      (					a_							,					a_							,					a_							,					a_							,					a_							,					a_):
							snake_case_           =							load_dataset(
							    'csv'							,					data_files=[csv_path]							,					split='train'							,					delimiter='\t'							,					column_names=['title', 'text'])
							snake_case_           =							kb_dataset.map(
							    a_							,					batched=a_							,					num_proc=1)  # if you want you can load already splitted csv.
							snake_case_           =							[kb_dataset.shard(a_							,					a_							,					contiguous=a_) for i in range(a_)]
							snake_case_           =							kb_list[process_num]

							snake_case_           =							'data_' + str(a_)
							snake_case_           =							os.path.join(a_							,					a_)

							snake_case_           =							DPRContextEncoderTokenizerFast.from_pretrained('facebook/dpr-ctx_encoder-multiset-base')
							snake_case_           =							ctx_encoder.to(device=a_)

							def embed(
							    a_							,					a_							,					a_							,					a_) -> dict:
														snake_case_           =							ctx_tokenizer(
														    documents['title']							,					documents['text']							,					truncation=a_							,					padding='longest'							,					return_tensors='pt')['input_ids']
														snake_case_           =							ctx_encoder(input_ids.to(device=a_)							,					return_dict=a_).pooler_output
														return {"embeddings": embeddings.detach().cpu().numpy()}

							snake_case_           =							Features(
							    {'text': Value('string'), 'title': Value('string'), 'embeddings': Sequence(Value('float32'))})  # optional, save as float32 instead of float64 to save space

							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 						__UpperCAmelCase      (					a_							,					a_):
							snake_case_           =							[]

							for shard_address in glob(str(a_) + '/*/'):
														data_shard_list.append(load_from_disk(a_))

							snake_case_           =							concatenate_datasets(a_)
							faiss.omp_set_num_threads(96)

							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





