





'''simple docstring'''

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


__lowerCamelCase : Optional[Any]											=			pytest.mark.integration

@require_faiss
class       UpperCAmelCase (						_lowercase  ):




  def 				UpperCAmelCase__   (self      :	Union[str, Any]				)					-> Tuple:
      lowercase         = Dataset.from_dict({"filename": ["my_name-train" + "_" + str(A__				) for x in np.arange(3_0				).tolist()]}				)
      return dset




  def 				UpperCAmelCase__   (self      :	List[Any]				)					-> Optional[Any]:
      import faiss

      lowercase         = self._create_dummy_dataset()
      lowercase         = dset.map(
          lambda A__							,			A__				: {"vecs": i * np.ones(5							,			dtype=np.floataa				)}							,			with_indices=A__							,			keep_in_memory=A__				)
      lowercase         = dset.add_faiss_index("vecs"							,			batch_size=1_0_0							,			metric_type=faiss.METRIC_INNER_PRODUCT				)
      lowercase   ,							lowercase         = 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 				UpperCAmelCase__   (self      :	Optional[int]				)					-> Any:
      import faiss

      lowercase         = self._create_dummy_dataset()
      dset.add_faiss_index_from_external_arrays(
          external_arrays=np.ones((3_0, 5)				) * np.arange(3_0				).reshape(-1							,			1				)							,			index_name="vecs"							,			batch_size=1_0_0							,			metric_type=faiss.METRIC_INNER_PRODUCT							,			)
      lowercase   ,							lowercase         = dset.get_nearest_examples("vecs"							,			np.ones(5							,			dtype=np.floataa				)				)
      self.assertEqual(examples["filename"][0]							,			"my_name-train_29"				)




  def 				UpperCAmelCase__   (self      :	Tuple				)					-> Dict:
      import faiss

      lowercase         = self._create_dummy_dataset()
      dset.add_faiss_index_from_external_arrays(
          external_arrays=np.ones((3_0, 5)				) * np.arange(3_0				).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=A__				) as tmp_file:
          dset.save_faiss_index("vecs"							,			tmp_file.name				)
          dset.load_faiss_index("vecs2"							,			tmp_file.name				)
      os.unlink(tmp_file.name				)

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




  def 				UpperCAmelCase__   (self      :	Any				)					-> int:
      lowercase         = self._create_dummy_dataset()
      dset.add_faiss_index_from_external_arrays(
          external_arrays=np.ones((3_0, 5)				) * np.arange(3_0				).reshape(-1							,			1				)							,			index_name="vecs"				)
      dset.drop_index("vecs"				)
      self.assertRaises(A__							,			partial(dset.get_nearest_examples							,			"vecs2"							,			np.ones(5							,			dtype=np.floataa				)				)				)





  def 				UpperCAmelCase__   (self      :	Optional[Any]				)					-> Dict:
      from elasticsearch import Elasticsearch

      lowercase         = 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:
          lowercase         = {"acknowledged": True}
          mocked_bulk.return_value([(True, None)] * 3_0				)
          lowercase         = {"hits": {"hits": [{"_score": 1, "_id": 2_9}]}}
          lowercase         = Elasticsearch()

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




@require_faiss
class       UpperCAmelCase (						_lowercase  ):




  def 				UpperCAmelCase__   (self      :	Optional[Any]				)					-> Tuple:
      import faiss

      lowercase         = 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							,			1_0				)

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

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




  def 				UpperCAmelCase__   (self      :	Tuple				)					-> Optional[Any]:
      import faiss

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




  def 				UpperCAmelCase__   (self      :	Tuple				)					-> Union[str, Any]:
      import faiss

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





  def 				UpperCAmelCase__   (self      :	List[Any]				)					-> List[Any]:
      import faiss

      lowercase         = 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=A__				) as tmp_file:
          index.save(tmp_file.name				)
          lowercase         = FaissIndex.load(tmp_file.name				)
      os.unlink(tmp_file.name				)

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







@require_faiss
def 							UpperCAmelCase_    (	lowerCAmelCase_							):

    """simple docstring"""






    import faiss

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

    lowercase         = "index.faiss"
    lowercase         = f'mock://{index_name}'
    index.save(lowerCAmelCase_		,							storage_options=mockfs.storage_options							)
    lowercase         = FaissIndex.load(lowerCAmelCase_		,							storage_options=mockfs.storage_options							)

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


@require_elasticsearch
class       UpperCAmelCase (						_lowercase  ):




  def 				UpperCAmelCase__   (self      :	Dict				)					-> Union[str, Any]:
      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:
          lowercase         = Elasticsearch()
          lowercase         = {"acknowledged": True}
          lowercase         = ElasticSearchIndex(es_client=A__				)
          mocked_bulk.return_value([(True, None)] * 3				)
          index.add_documents(["foo", "bar", "foobar"]				)

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

          # single query with timeout
          lowercase         = "foo"
          lowercase         = {"hits": {"hits": [{"_score": 1, "_id": 0}]}}
          lowercase   ,							lowercase         = index.search(A__							,			request_timeout=3_0				)
          self.assertEqual(scores[0]							,			1				)
          self.assertEqual(indices[0]							,			0				)

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

          # batched queries with timeout
          lowercase         = ["foo", "bar", "foobar"]
          lowercase         = {"hits": {"hits": [{"_score": 1, "_id": 1}]}}
          lowercase   ,							lowercase         = index.search_batch(A__							,			request_timeout=3_0				)
          lowercase         = [scores[0] for scores in total_scores]
          lowercase         = [indices[0] for indices in total_indices]
          self.assertGreater(np.min(A__				)							,			0				)
          self.assertListEqual([1, 1, 1]							,			A__				)











'''simple docstring'''

from __future__ import annotations

class       UpperCAmelCase :




		def __init__(self      :	Dict							,			A__      :	str							,			A__      :	str				)					-> str:
						lowercase   ,							lowercase         = text, pattern
						lowercase   ,							lowercase         = len(A__				), len(A__				)




		def 				UpperCAmelCase__   (self      :	Any							,			A__      :	str				)					-> int:

						for i in range(self.patLen - 1							,			-1							,			-1				):
										if char == self.pattern[i]:
														return i
						return -1




		def 				UpperCAmelCase__   (self      :	List[Any]							,			A__      :	int				)					-> int:

						for i in range(self.patLen - 1							,			-1							,			-1				):
										if self.pattern[i] != self.text[current_pos + i]:
														return current_pos + i
						return -1





		def 				UpperCAmelCase__   (self      :	Optional[Any]				)					-> list[int]:
						# searches pattern in text and returns index positions
						lowercase         = []
						for i in range(self.textLen - self.patLen + 1				):
										lowercase         = self.mismatch_in_text(A__				)
										if mismatch_index == -1:
														positions.append(A__				)
										else:
														lowercase         = self.match_in_pattern(self.text[mismatch_index]				)
														lowercase         = (
														    mismatch_index - match_index
														)  # shifting index lgtm [py/multiple-definition]
						return positions




__lowerCamelCase : List[str]											=			"ABAABA"
__lowerCamelCase : List[str]											=			"AB"
__lowerCamelCase : Union[str, Any]											=			BoyerMooreSearch(text, pattern)
__lowerCamelCase : List[str]											=			bms.bad_character_heuristic()

if len(positions) == 0:
			print("No match found")
else:
			print("Pattern found in following positions: ")
			print(positions)




