

import os
import tempfile
from functools import partial
from unittest import TestCase
from unittest.mock import patch

import numpy as np
import pytest

from datasets.arrow_dataset import Dataset
from datasets.search import ElasticSearchIndex, FaissIndex, MissingIndex

from .utils import require_elasticsearch, require_faiss


_a:    Dict 							=			pytest.mark.integration

@require_faiss
class 						__UpperCamelCase    (					lowercase						):




	def       __A					(		self	:						Any							):


		'''simple docstring'''







		UpperCAmelCase_       				=			Dataset.from_dict({"filename": ["my_name-train" + "_" + str(lowerCAmelCase							) for x in np.arange(30							).tolist()]}							)
		return dset




	def       __A					(		self	:						List[Any]							):


		'''simple docstring'''







		import faiss

		UpperCAmelCase_       				=			self._create_dummy_dataset()
		UpperCAmelCase_       				=			dset.map(
		    lambda lowerCAmelCase		,	lowerCAmelCase							: {"vecs": i * np.ones(5		,	dtype=np.floataa							)}		,	with_indices=lowerCAmelCase		,	keep_in_memory=lowerCAmelCase							)
		UpperCAmelCase_       				=			dset.add_faiss_index("vecs"		,	batch_size=100		,	metric_type=faiss.METRIC_INNER_PRODUCT							)
		UpperCAmelCase_				,   UpperCAmelCase_       				=			dset.get_nearest_examples("vecs"		,	np.ones(5		,	dtype=np.floataa							)							)
		self.assertEqual(examples["filename"][0]		,	"my_name-train_29"							)
		dset.drop_index("vecs"							)




	def       __A					(		self	:						Tuple							):


		'''simple docstring'''







		import faiss

		UpperCAmelCase_       				=			self._create_dummy_dataset()
		dset.add_faiss_index_from_external_arrays(
		    external_arrays=np.ones((30, 5)							) * np.arange(30							).reshape(-1		,	1							)		,	index_name="vecs"		,	batch_size=100		,	metric_type=faiss.METRIC_INNER_PRODUCT		,	)
		UpperCAmelCase_				,   UpperCAmelCase_       				=			dset.get_nearest_examples("vecs"		,	np.ones(5		,	dtype=np.floataa							)							)
		self.assertEqual(examples["filename"][0]		,	"my_name-train_29"							)




	def       __A					(		self	:						Union[str, Any]							):


		'''simple docstring'''







		import faiss

		UpperCAmelCase_       				=			self._create_dummy_dataset()
		dset.add_faiss_index_from_external_arrays(
		    external_arrays=np.ones((30, 5)							) * np.arange(30							).reshape(-1		,	1							)		,	index_name="vecs"		,	metric_type=faiss.METRIC_INNER_PRODUCT		,	)

		# Setting delete=False and unlinking manually is not pretty... but it is required on Windows to
		# ensure somewhat stable behaviour. If we don't, we get PermissionErrors. This is an age-old issue.
		# see https://bugs.python.org/issue14243 and
		# https://stackoverflow.com/questions/23212435/permission-denied-to-write-to-my-temporary-file/23212515
		with tempfile.NamedTemporaryFile(delete=lowerCAmelCase							) as tmp_file:
			dset.save_faiss_index("vecs"		,	tmp_file.name							)
			dset.load_faiss_index("vecs2"		,	tmp_file.name							)
		os.unlink(tmp_file.name							)

		UpperCAmelCase_				,   UpperCAmelCase_       				=			dset.get_nearest_examples("vecs2"		,	np.ones(5		,	dtype=np.floataa							)							)
		self.assertEqual(examples["filename"][0]		,	"my_name-train_29"							)




	def       __A					(		self	:						List[str]							):


		'''simple docstring'''







		UpperCAmelCase_       				=			self._create_dummy_dataset()
		dset.add_faiss_index_from_external_arrays(
		    external_arrays=np.ones((30, 5)							) * np.arange(30							).reshape(-1		,	1							)		,	index_name="vecs"							)
		dset.drop_index("vecs"							)
		self.assertRaises(lowerCAmelCase		,	partial(dset.get_nearest_examples		,	"vecs2"		,	np.ones(5		,	dtype=np.floataa							)							)							)




	def       __A					(		self	:						List[Any]							):


		'''simple docstring'''







		from elasticsearch import Elasticsearch

		UpperCAmelCase_       				=			self._create_dummy_dataset()
		with patch("elasticsearch.Elasticsearch.search"							) as mocked_search, patch(
		    "elasticsearch.client.IndicesClient.create"							) as mocked_index_create, patch("elasticsearch.helpers.streaming_bulk"							) as mocked_bulk:
			UpperCAmelCase_       				=			{"acknowledged": True}
			mocked_bulk.return_value([(True, None)] * 30							)
			UpperCAmelCase_       				=			{"hits": {"hits": [{"_score": 1, "_id": 29}]}}
			UpperCAmelCase_       				=			Elasticsearch()

			dset.add_elasticsearch_index("filename"		,	es_client=lowerCAmelCase							)
			UpperCAmelCase_				,   UpperCAmelCase_       				=			dset.get_nearest_examples("filename"		,	"my_name-train_29"							)
			self.assertEqual(examples["filename"][0]		,	"my_name-train_29"							)


@require_faiss
class 						__UpperCamelCase    (					lowercase						):




	def       __A					(		self	:						Optional[Any]							):


		'''simple docstring'''







		import faiss

		UpperCAmelCase_       				=			FaissIndex(metric_type=faiss.METRIC_INNER_PRODUCT							)

		# add vectors
		index.add_vectors(np.eye(5		,	dtype=np.floataa							)							)
		self.assertIsNotNone(index.faiss_index							)
		self.assertEqual(index.faiss_index.ntotal		,	5							)
		index.add_vectors(np.zeros((5, 5)		,	dtype=np.floataa							)							)
		self.assertEqual(index.faiss_index.ntotal		,	10							)

		# single query
		UpperCAmelCase_       				=			np.zeros(5		,	dtype=np.floataa							)
		UpperCAmelCase_       				=			1
		UpperCAmelCase_				,   UpperCAmelCase_       				=			index.search(lowerCAmelCase							)
		self.assertRaises(lowerCAmelCase		,	index.search		,	query.reshape(-1		,	1							)							)
		self.assertGreater(scores[0]		,	0							)
		self.assertEqual(indices[0]		,	1							)

		# batched queries
		UpperCAmelCase_       				=			np.eye(5		,	dtype=np.floataa							)[::-1]
		UpperCAmelCase_				,   UpperCAmelCase_       				=			index.search_batch(lowerCAmelCase							)
		self.assertRaises(lowerCAmelCase		,	index.search_batch		,	queries[0]							)
		UpperCAmelCase_       				=			[scores[0] for scores in total_scores]
		UpperCAmelCase_       				=			[indices[0] for indices in total_indices]
		self.assertGreater(np.min(lowerCAmelCase							)		,	0							)
		self.assertListEqual([4, 3, 2, 1, 0]		,	lowerCAmelCase							)




	def       __A					(		self	:						Tuple							):


		'''simple docstring'''







		import faiss

		UpperCAmelCase_       				=			FaissIndex(string_factory="Flat"							)
		index.add_vectors(np.eye(5		,	dtype=np.floataa							)							)
		self.assertIsInstance(index.faiss_index		,	faiss.IndexFlat							)
		UpperCAmelCase_       				=			FaissIndex(string_factory="LSH"							)
		index.add_vectors(np.eye(5		,	dtype=np.floataa							)							)
		self.assertIsInstance(index.faiss_index		,	faiss.IndexLSH							)
		with self.assertRaises(lowerCAmelCase							):
			UpperCAmelCase_       				=			FaissIndex(string_factory="Flat"		,	custom_index=faiss.IndexFlat(5							)							)




	def       __A					(		self	:						List[Any]							):


		'''simple docstring'''







		import faiss

		UpperCAmelCase_       				=			faiss.IndexFlat(5							)
		UpperCAmelCase_       				=			FaissIndex(custom_index=lowerCAmelCase							)
		index.add_vectors(np.eye(5		,	dtype=np.floataa							)							)
		self.assertIsInstance(index.faiss_index		,	faiss.IndexFlat							)




	def       __A					(		self	:						Optional[Any]							):


		'''simple docstring'''







		import faiss

		UpperCAmelCase_       				=			FaissIndex(metric_type=faiss.METRIC_INNER_PRODUCT							)
		index.add_vectors(np.eye(5		,	dtype=np.floataa							)							)

		# Setting delete=False and unlinking manually is not pretty... but it is required on Windows to
		# ensure somewhat stable behaviour. If we don't, we get PermissionErrors. This is an age-old issue.
		# see https://bugs.python.org/issue14243 and
		# https://stackoverflow.com/questions/23212435/permission-denied-to-write-to-my-temporary-file/23212515
		with tempfile.NamedTemporaryFile(delete=lowerCAmelCase							) as tmp_file:
			index.save(tmp_file.name							)
			UpperCAmelCase_       				=			FaissIndex.load(tmp_file.name							)
		os.unlink(tmp_file.name							)

		UpperCAmelCase_       				=			np.zeros(5		,	dtype=np.floataa							)
		UpperCAmelCase_       				=			1
		UpperCAmelCase_				,   UpperCAmelCase_       				=			index.search(lowerCAmelCase							)
		self.assertGreater(scores[0]		,	0							)
		self.assertEqual(indices[0]		,	1							)



@require_faiss
def       __lowerCAmelCase      (						A    ):
	import faiss

	UpperCAmelCase_       				=			FaissIndex(metric_type=faiss.METRIC_INNER_PRODUCT    )
	index.add_vectors(np.eye(5       ,     dtype=np.floataa    )    )

	UpperCAmelCase_       				=			"index.faiss"
	UpperCAmelCase_       				=			F"mock://{index_name}"
	index.save(A       ,     storage_options=mockfs.storage_options    )
	UpperCAmelCase_       				=			FaissIndex.load(A       ,     storage_options=mockfs.storage_options    )

	UpperCAmelCase_       				=			np.zeros(5       ,     dtype=np.floataa    )
	UpperCAmelCase_       				=			1
	UpperCAmelCase_				,   UpperCAmelCase_       				=			index.search(A    )
	assert scores[0] > 0
	assert indices[0] == 1




@require_elasticsearch
class 						__UpperCamelCase    (					lowercase						):




	def       __A					(		self	:						int							):


		'''simple docstring'''







		from elasticsearch import Elasticsearch

		with patch("elasticsearch.Elasticsearch.search"							) as mocked_search, patch(
		    "elasticsearch.client.IndicesClient.create"							) as mocked_index_create, patch("elasticsearch.helpers.streaming_bulk"							) as mocked_bulk:
			UpperCAmelCase_       				=			Elasticsearch()
			UpperCAmelCase_       				=			{"acknowledged": True}
			UpperCAmelCase_       				=			ElasticSearchIndex(es_client=lowerCAmelCase							)
			mocked_bulk.return_value([(True, None)] * 3							)
			index.add_documents(["foo", "bar", "foobar"]							)

			# single query
			UpperCAmelCase_       				=			"foo"
			UpperCAmelCase_       				=			{"hits": {"hits": [{"_score": 1, "_id": 0}]}}
			UpperCAmelCase_				,   UpperCAmelCase_       				=			index.search(lowerCAmelCase							)
			self.assertEqual(scores[0]		,	1							)
			self.assertEqual(indices[0]		,	0							)

			# single query with timeout
			UpperCAmelCase_       				=			"foo"
			UpperCAmelCase_       				=			{"hits": {"hits": [{"_score": 1, "_id": 0}]}}
			UpperCAmelCase_				,   UpperCAmelCase_       				=			index.search(lowerCAmelCase		,	request_timeout=30							)
			self.assertEqual(scores[0]		,	1							)
			self.assertEqual(indices[0]		,	0							)

			# batched queries
			UpperCAmelCase_       				=			["foo", "bar", "foobar"]
			UpperCAmelCase_       				=			{"hits": {"hits": [{"_score": 1, "_id": 1}]}}
			UpperCAmelCase_				,   UpperCAmelCase_       				=			index.search_batch(lowerCAmelCase							)
			UpperCAmelCase_       				=			[scores[0] for scores in total_scores]
			UpperCAmelCase_       				=			[indices[0] for indices in total_indices]
			self.assertGreater(np.min(lowerCAmelCase							)		,	0							)
			self.assertListEqual([1, 1, 1]		,	lowerCAmelCase							)

			# batched queries with timeout
			UpperCAmelCase_       				=			["foo", "bar", "foobar"]
			UpperCAmelCase_       				=			{"hits": {"hits": [{"_score": 1, "_id": 1}]}}
			UpperCAmelCase_				,   UpperCAmelCase_       				=			index.search_batch(lowerCAmelCase		,	request_timeout=30							)
			UpperCAmelCase_       				=			[scores[0] for scores in total_scores]
			UpperCAmelCase_       				=			[indices[0] for indices in total_indices]
			self.assertGreater(np.min(lowerCAmelCase							)		,	0							)
			self.assertListEqual([1, 1, 1]		,	lowerCAmelCase							)


import warnings
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


_a:    Dict 							=			logging.get_logger(__name__)

class 						__UpperCamelCase    (					lowercase						):
	SCREAMING_SNAKE_CASE__    				=     ['input_ids', 'attention_mask']




	def __init__(		self	:						Tuple		,	lowerCAmelCase	:						Union[str, Any]="</s>"		,	lowerCAmelCase	:						str="<unk>"		,	lowerCAmelCase	:						Optional[int]="<pad>"		,	lowerCAmelCase	:						List[str]=125		,	lowerCAmelCase	:						List[Any]=None		,	**lowerCAmelCase	:						Optional[Any]		,	):


		'''simple docstring'''







		if extra_ids > 0 and additional_special_tokens is None:
			UpperCAmelCase_       				=			[F"<extra_id_{i}>" for i in range(lowerCAmelCase							)]
		elif extra_ids > 0 and additional_special_tokens is not None:
			# Check that we have the right number of extra_id special tokens
			UpperCAmelCase_       				=			len(set(filter(lambda lowerCAmelCase							: bool("extra_id" in str(lowerCAmelCase							)							)		,	lowerCAmelCase							)							)							)
			if extra_tokens != extra_ids:
				raise ValueError(
				    F"Both extra_ids ({extra_ids}) and additional_special_tokens ({additional_special_tokens}) are"
				    " provided to ByT5Tokenizer. In this case the additional_special_tokens must include the"
				    " extra_ids tokens"							)

		UpperCAmelCase_       				=			AddedToken(lowerCAmelCase		,	lstrip=lowerCAmelCase		,	rstrip=lowerCAmelCase							) if isinstance(lowerCAmelCase		,	lowerCAmelCase							) else pad_token
		UpperCAmelCase_       				=			AddedToken(lowerCAmelCase		,	lstrip=lowerCAmelCase		,	rstrip=lowerCAmelCase							) if isinstance(lowerCAmelCase		,	lowerCAmelCase							) else eos_token
		UpperCAmelCase_       				=			AddedToken(lowerCAmelCase		,	lstrip=lowerCAmelCase		,	rstrip=lowerCAmelCase							) if isinstance(lowerCAmelCase		,	lowerCAmelCase							) else unk_token

		super().__init__(
		    eos_token=lowerCAmelCase		,	unk_token=lowerCAmelCase		,	pad_token=lowerCAmelCase		,	extra_ids=lowerCAmelCase		,	additional_special_tokens=lowerCAmelCase		,	**lowerCAmelCase		,	)

		UpperCAmelCase_       				=			extra_ids

		UpperCAmelCase_       				=			2**8  # utf is 8 bits

		# define special tokens dict
		UpperCAmelCase_       				=			{
		    self.pad_token: 0,
		    self.eos_token: 1,
		    self.unk_token: 2,
		}
		UpperCAmelCase_       				=			len(self.special_tokens_encoder							)
		UpperCAmelCase_       				=			len(lowerCAmelCase							)
		for i, token in enumerate(lowerCAmelCase							):
			UpperCAmelCase_       				=			self.vocab_size + i - n
		UpperCAmelCase_       				=			{v: k for k, v in self.special_tokens_encoder.items()}




	@property
	def       __A					(		self	:						Optional[Any]							):


		'''simple docstring'''







		return self._utf_vocab_size + self._num_special_tokens + self._extra_ids




	def       __A					(		self	:						List[Any]		,	lowerCAmelCase	:						List[int]		,	lowerCAmelCase	:						Optional[List[int]] = None		,	lowerCAmelCase	:						bool = False							):


		'''simple docstring'''







		if already_has_special_tokens:
			return super().get_special_tokens_mask(
			    token_ids_a=lowerCAmelCase		,	token_ids_a=lowerCAmelCase		,	already_has_special_tokens=lowerCAmelCase							)

		# normal case: some special tokens
		if token_ids_a is None:
			return ([0] * len(lowerCAmelCase							)) + [1]
		return ([0] * len(lowerCAmelCase							)) + [1] + ([0] * len(lowerCAmelCase							)) + [1]




	def       __A					(		self	:						Any		,	lowerCAmelCase	:						List[int]							):


		'''simple docstring'''







		if len(lowerCAmelCase							) > 0 and token_ids[-1] == self.eos_token_id:
			warnings.warn(
			    F"This sequence already has {self.eos_token}. In future versions this behavior may lead to duplicated"
			    " eos tokens being added."							)
			return token_ids
		else:
			return token_ids + [self.eos_token_id]




	def       __A					(		self	:						Optional[Any]		,	lowerCAmelCase	:						List[int]		,	lowerCAmelCase	:						Optional[List[int]] = None							):


		'''simple docstring'''







		UpperCAmelCase_       				=			[self.eos_token_id]

		if token_ids_a is None:
			return len(token_ids_a + eos							) * [0]
		return len(token_ids_a + eos + token_ids_a + eos							) * [0]




	def       __A					(		self	:						Tuple		,	lowerCAmelCase	:						List[int]		,	lowerCAmelCase	:						Optional[List[int]] = None							):


		'''simple docstring'''







		UpperCAmelCase_       				=			self._add_eos_if_not_present(lowerCAmelCase							)
		if token_ids_a is None:
			return token_ids_a
		else:
			UpperCAmelCase_       				=			self._add_eos_if_not_present(lowerCAmelCase							)
			return token_ids_a + token_ids_a




	def       __A					(		self	:						List[str]		,	lowerCAmelCase	:						str							):


		'''simple docstring'''







		UpperCAmelCase_       				=			[chr(lowerCAmelCase							) for i in text.encode("utf-8"							)]
		return tokens




	def       __A					(		self	:						Optional[Any]		,	lowerCAmelCase	:						List[Any]							):


		'''simple docstring'''







		if token in self.special_tokens_encoder:
			UpperCAmelCase_       				=			self.special_tokens_encoder[token]
		elif token in self.added_tokens_encoder:
			UpperCAmelCase_       				=			self.added_tokens_encoder[token]
		elif len(lowerCAmelCase							) != 1:
			UpperCAmelCase_       				=			self.unk_token_id
		else:
			UpperCAmelCase_       				=			ord(lowerCAmelCase							) + self._num_special_tokens
		return token_id




	def       __A					(		self	:						str		,	lowerCAmelCase	:						Any							):


		'''simple docstring'''







		if index in self.special_tokens_decoder:
			UpperCAmelCase_       				=			self.special_tokens_decoder[index]
		else:
			UpperCAmelCase_       				=			chr(index - self._num_special_tokens							)
		return token




	def       __A					(		self	:						Union[str, Any]		,	lowerCAmelCase	:						Union[str, Any]							):


		'''simple docstring'''







		UpperCAmelCase_       				=			b""
		for token in tokens:
			if token in self.special_tokens_decoder:
				UpperCAmelCase_       				=			self.special_tokens_decoder[token].encode("utf-8"							)
			elif token in self.added_tokens_decoder:
				UpperCAmelCase_       				=			self.special_tokens_decoder[token].encode("utf-8"							)
			elif token in self.special_tokens_encoder:
				UpperCAmelCase_       				=			token.encode("utf-8"							)
			elif token in self.added_tokens_encoder:
				UpperCAmelCase_       				=			token.encode("utf-8"							)
			else:
				UpperCAmelCase_       				=			bytes([ord(lowerCAmelCase							)]							)
			bstring += tok_string
		UpperCAmelCase_       				=			bstring.decode("utf-8"		,	errors="ignore"							)
		return string




	def       __A					(		self	:						List[Any]		,	lowerCAmelCase	:						str		,	lowerCAmelCase	:						Optional[str] = None							):


		'''simple docstring'''







		return ()