



'''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


_UpperCamelCase											=		pytest.mark.integration






@require_faiss
class    lowerCamelCase_       (							SCREAMING_SNAKE_CASE_	):
  """simple docstring"""




  def 		_lowercase	(					self :      Tuple  )   ->   Union[str, Any]:
    __lowerCamelCase			:			Optional[Any]       			=					Dataset.from_dict({'filename': ['my_name-train' + '_' + str(_a  ) for x in np.arange(30  ).tolist()]}  )
    return dset




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

    __lowerCamelCase			:			Dataset       			=					self._create_dummy_dataset()
    __lowerCamelCase			:			str       			=					dset.map(
        lambda _a     ,      _a  : {"vecs": i * np.ones(5     ,      dtype=np.floataa  )}     ,      with_indices=_a     ,      keep_in_memory=_a  )
    __lowerCamelCase			:			Tuple       			=					dset.add_faiss_index('vecs'     ,      batch_size=100     ,      metric_type=faiss.METRIC_INNER_PRODUCT  )
    __lowerCamelCase			,__lowerCamelCase			:			Dict       			=					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 		_lowercase	(					self :      Tuple  )   ->   Optional[int]:
    import faiss

    __lowerCamelCase			:			Dataset       			=					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     ,      )
    __lowerCamelCase			,__lowerCamelCase			:			Dict       			=					dset.get_nearest_examples('vecs'     ,      np.ones(5     ,      dtype=np.floataa  )  )
    self.assertEqual(examples['filename'][0]     ,      'my_name-train_29'  )




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

    __lowerCamelCase			:			Dataset       			=					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=_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  )

    __lowerCamelCase			,__lowerCamelCase			:			Dict       			=					dset.get_nearest_examples('vecs2'     ,      np.ones(5     ,      dtype=np.floataa  )  )
    self.assertEqual(examples['filename'][0]     ,      'my_name-train_29'  )




  def 		_lowercase	(					self :      Dict  )   ->   str:
    __lowerCamelCase			:			Dataset       			=					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(_a     ,      partial(dset.get_nearest_examples     ,      'vecs2'     ,      np.ones(5     ,      dtype=np.floataa  )  )  )




  def 		_lowercase	(					self :      Dict  )   ->   str:
    from elasticsearch import Elasticsearch

    __lowerCamelCase			:			Dataset       			=					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:
      __lowerCamelCase			:			List[Any]       			=					{'acknowledged': True}
      mocked_bulk.return_value([(True, None)] * 30  )
      __lowerCamelCase			:			Optional[int]       			=					{'hits': {'hits': [{'_score': 1, '_id': 29}]}}
      __lowerCamelCase			:			Dict       			=					Elasticsearch()

      dset.add_elasticsearch_index('filename'     ,      es_client=_a  )
      __lowerCamelCase			,__lowerCamelCase			:			Union[str, Any]       			=					dset.get_nearest_examples('filename'     ,      'my_name-train_29'  )
      self.assertEqual(examples['filename'][0]     ,      'my_name-train_29'  )






@require_faiss
class    lowerCamelCase_       (							SCREAMING_SNAKE_CASE_	):
  """simple docstring"""




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

    __lowerCamelCase			:			Optional[int]       			=					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
    __lowerCamelCase			:			Dict       			=					np.zeros(5     ,      dtype=np.floataa  )
    __lowerCamelCase			:			List[str]       			=					1
    __lowerCamelCase			,__lowerCamelCase			:			Union[str, Any]       			=					index.search(_a  )
    self.assertRaises(_a     ,      index.search     ,      query.reshape(-1     ,      1  )  )
    self.assertGreater(scores[0]     ,      0  )
    self.assertEqual(indices[0]     ,      1  )

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




  def 		_lowercase	(					self :      List[str]  )   ->   Optional[int]:
    import faiss

    __lowerCamelCase			:			str       			=					FaissIndex(string_factory='Flat'  )
    index.add_vectors(np.eye(5     ,      dtype=np.floataa  )  )
    self.assertIsInstance(index.faiss_index     ,      faiss.IndexFlat  )
    __lowerCamelCase			:			Dict       			=					FaissIndex(string_factory='LSH'  )
    index.add_vectors(np.eye(5     ,      dtype=np.floataa  )  )
    self.assertIsInstance(index.faiss_index     ,      faiss.IndexLSH  )
    with self.assertRaises(_a  ):
      __lowerCamelCase			:			Any       			=					FaissIndex(string_factory='Flat'     ,      custom_index=faiss.IndexFlat(5  )  )




  def 		_lowercase	(					self :      Optional[int]  )   ->   Union[str, Any]:
    import faiss

    __lowerCamelCase			:			str       			=					faiss.IndexFlat(5  )
    __lowerCamelCase			:			Optional[int]       			=					FaissIndex(custom_index=_a  )
    index.add_vectors(np.eye(5     ,      dtype=np.floataa  )  )
    self.assertIsInstance(index.faiss_index     ,      faiss.IndexFlat  )




  def 		_lowercase	(					self :      Optional[Any]  )   ->   int:
    import faiss

    __lowerCamelCase			:			int       			=					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  )
      __lowerCamelCase			:			List[str]       			=					FaissIndex.load(tmp_file.name  )
    os.unlink(tmp_file.name  )

    __lowerCamelCase			:			Optional[Any]       			=					np.zeros(5     ,      dtype=np.floataa  )
    __lowerCamelCase			:			Dict       			=					1
    __lowerCamelCase			,__lowerCamelCase			:			List[str]       			=					index.search(_a  )
    self.assertGreater(scores[0]     ,      0  )
    self.assertEqual(indices[0]     ,      1  )




@require_faiss
def 			a_	(				_lowerCAmelCase			) -> Union[str, Any]:
  import faiss

  __lowerCamelCase			:			List[str]       			=					FaissIndex(metric_type=faiss.METRIC_INNER_PRODUCT			)
  index.add_vectors(np.eye(5			,dtype=np.floataa			)			)

  __lowerCamelCase			:			str       			=					'index.faiss'
  __lowerCamelCase			:			Union[str, Any]       			=					F'mock://{index_name}'
  index.save(_lowerCAmelCase			,storage_options=mockfs.storage_options			)
  __lowerCamelCase			:			str       			=					FaissIndex.load(_lowerCAmelCase			,storage_options=mockfs.storage_options			)

  __lowerCamelCase			:			Optional[Any]       			=					np.zeros(5			,dtype=np.floataa			)
  __lowerCamelCase			:			Optional[int]       			=					1
  __lowerCamelCase			,__lowerCamelCase			:			Optional[int]       			=					index.search(_lowerCAmelCase			)
  assert scores[0] > 0
  assert indices[0] == 1






@require_elasticsearch
class    lowerCamelCase_       (							SCREAMING_SNAKE_CASE_	):
  """simple docstring"""




  def 		_lowercase	(					self :      List[Any]  )   ->   Dict:
    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:
      __lowerCamelCase			:			Optional[Any]       			=					Elasticsearch()
      __lowerCamelCase			:			Optional[Any]       			=					{'acknowledged': True}
      __lowerCamelCase			:			List[str]       			=					ElasticSearchIndex(es_client=_a  )
      mocked_bulk.return_value([(True, None)] * 3  )
      index.add_documents(['foo', 'bar', 'foobar']  )

      # single query
      __lowerCamelCase			:			Optional[Any]       			=					'foo'
      __lowerCamelCase			:			Optional[int]       			=					{'hits': {'hits': [{'_score': 1, '_id': 0}]}}
      __lowerCamelCase			,__lowerCamelCase			:			Dict       			=					index.search(_a  )
      self.assertEqual(scores[0]     ,      1  )
      self.assertEqual(indices[0]     ,      0  )

      # single query with timeout
      __lowerCamelCase			:			Any       			=					'foo'
      __lowerCamelCase			:			Any       			=					{'hits': {'hits': [{'_score': 1, '_id': 0}]}}
      __lowerCamelCase			,__lowerCamelCase			:			Union[str, Any]       			=					index.search(_a     ,      request_timeout=30  )
      self.assertEqual(scores[0]     ,      1  )
      self.assertEqual(indices[0]     ,      0  )

      # batched queries
      __lowerCamelCase			:			Optional[int]       			=					['foo', 'bar', 'foobar']
      __lowerCamelCase			:			str       			=					{'hits': {'hits': [{'_score': 1, '_id': 1}]}}
      __lowerCamelCase			,__lowerCamelCase			:			int       			=					index.search_batch(_a  )
      __lowerCamelCase			:			str       			=					[scores[0] for scores in total_scores]
      __lowerCamelCase			:			Tuple       			=					[indices[0] for indices in total_indices]
      self.assertGreater(np.min(_a  )     ,      0  )
      self.assertListEqual([1, 1, 1]     ,      _a  )

      # batched queries with timeout
      __lowerCamelCase			:			Optional[int]       			=					['foo', 'bar', 'foobar']
      __lowerCamelCase			:			List[str]       			=					{'hits': {'hits': [{'_score': 1, '_id': 1}]}}
      __lowerCamelCase			,__lowerCamelCase			:			str       			=					index.search_batch(_a     ,      request_timeout=30  )
      __lowerCamelCase			:			Any       			=					[scores[0] for scores in total_scores]
      __lowerCamelCase			:			List[Any]       			=					[indices[0] for indices in total_indices]
      self.assertGreater(np.min(_a  )     ,      0  )
      self.assertListEqual([1, 1, 1]     ,      _a  )











'''simple docstring'''





import string

def 			a_	(				_lowerCAmelCase			) -> str:
  __lowerCamelCase			:			Union[str, Any]       			=					''
  for i in sequence:
    __lowerCamelCase			:			Tuple       			=					ord(_lowerCAmelCase			)
    if 65 <= extract <= 90:
      output += chr(155 - extract			)
    elif 97 <= extract <= 122:
      output += chr(219 - extract			)
    else:
      output += i
  return output

def 			a_	(				_lowerCAmelCase			) -> str:
  __lowerCamelCase			:			Optional[Any]       			=					string.ascii_letters
  __lowerCamelCase			:			str       			=					string.ascii_lowercase[::-1] + string.ascii_uppercase[::-1]
  return "".join(
      letters_reversed[letters.index(_lowerCAmelCase			)] if c in letters else c for c in sequence			)

def 			a_	(				) -> None:
  from timeit import timeit

  print('Running performance benchmarks...'			)
  __lowerCamelCase			:			Tuple       			=					'from string import printable ; from __main__ import atbash, atbash_slow'
  print(F'> atbash_slow(): {timeit("atbash_slow(printable)"			,setup=_lowerCAmelCase			)} seconds'			)
  print(F'>      atbash(): {timeit("atbash(printable)"			,setup=_lowerCAmelCase			)} seconds'			)


if __name__ == "__main__":
   for example in ("ABCDEFGH", "123GGjj", "testStringtest", "with space"):
      print(f'''{example} encrypted in atbash: {atbash(example)}''')
   benchmark()






