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			:							List[Any]     =pytest.mark.integration




@require_faiss
class 	__snake_case	( __lowerCAmelCase		):





      '''simple docstring'''






      def 	_SCREAMING_SNAKE_CASE    (					self     :				str)				->Dict:


          """simple docstring"""


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



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


          """simple docstring"""


          import faiss

          _lowerCamelCase     :		Dataset 						=						self._create_dummy_dataset()
          _lowerCamelCase     :		Optional[Any] 						=						dset.map(
              lambda _UpperCamelCase    ,  _UpperCamelCase: {"vecs": i * np.ones(5    ,  dtype=np.floataa)}    ,  with_indices=_UpperCamelCase    ,  keep_in_memory=_UpperCamelCase)
          _lowerCamelCase     :		Dict 						=						dset.add_faiss_index("""vecs"""    ,  batch_size=100    ,  metric_type=faiss.METRIC_INNER_PRODUCT)
          _lowerCamelCase						,							_lowerCamelCase     :		Optional[int] 						=						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 	_SCREAMING_SNAKE_CASE    (					self     :				Tuple)				->int:


          """simple docstring"""


          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     :		Optional[int] 						=						dset.get_nearest_examples("""vecs"""    ,  np.ones(5    ,  dtype=np.floataa))
          self.assertEqual(examples["""filename"""][0]    ,  """my_name-train_29""")



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


          """simple docstring"""


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



      def 	_SCREAMING_SNAKE_CASE    (					self     :				str)				->Any:


          """simple docstring"""


          _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(_UpperCamelCase    ,  partial(dset.get_nearest_examples    ,  """vecs2"""    ,  np.ones(5    ,  dtype=np.floataa)))




      def 	_SCREAMING_SNAKE_CASE    (					self     :				int)				->Dict:


          """simple docstring"""


          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     :		Union[str, Any] 						=						{"""acknowledged""": True}
              mocked_bulk.return_value([(True, None)] * 30)
              _lowerCamelCase     :		Tuple 						=						{"""hits""": {"""hits""": [{"""_score""": 1, """_id""": 29}]}}
              _lowerCamelCase     :		Any 						=						Elasticsearch()

              dset.add_elasticsearch_index("""filename"""    ,  es_client=_UpperCamelCase)
              _lowerCamelCase						,							_lowerCamelCase     :		List[Any] 						=						dset.get_nearest_examples("""filename"""    ,  """my_name-train_29""")
              self.assertEqual(examples["""filename"""][0]    ,  """my_name-train_29""")





@require_faiss
class 	__snake_case	( __lowerCAmelCase		):





      '''simple docstring'''






      def 	_SCREAMING_SNAKE_CASE    (					self     :				List[str])				->str:


          """simple docstring"""


          import faiss

          _lowerCamelCase     :		Optional[Any] 						=						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     :		List[Any] 						=						np.zeros(5    ,  dtype=np.floataa)
          _lowerCamelCase     :		int 						=						1
          _lowerCamelCase						,							_lowerCamelCase     :		Tuple 						=						index.search(_UpperCamelCase)
          self.assertRaises(_UpperCamelCase    ,  index.search    ,  query.reshape(-1    ,  1))
          self.assertGreater(scores[0]    ,  0)
          self.assertEqual(indices[0]    ,  1)

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



      def 	_SCREAMING_SNAKE_CASE    (					self     :				Tuple)				->str:


          """simple docstring"""


          import faiss

          _lowerCamelCase     :		List[str] 						=						FaissIndex(string_factory="""Flat""")
          index.add_vectors(np.eye(5    ,  dtype=np.floataa))
          self.assertIsInstance(index.faiss_index    ,  faiss.IndexFlat)
          _lowerCamelCase     :		Union[str, Any] 						=						FaissIndex(string_factory="""LSH""")
          index.add_vectors(np.eye(5    ,  dtype=np.floataa))
          self.assertIsInstance(index.faiss_index    ,  faiss.IndexLSH)
          with self.assertRaises(_UpperCamelCase):
              _lowerCamelCase     :		List[str] 						=						FaissIndex(string_factory="""Flat"""    ,  custom_index=faiss.IndexFlat(5))



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


          """simple docstring"""


          import faiss

          _lowerCamelCase     :		str 						=						faiss.IndexFlat(5)
          _lowerCamelCase     :		List[str] 						=						FaissIndex(custom_index=_UpperCamelCase)
          index.add_vectors(np.eye(5    ,  dtype=np.floataa))
          self.assertIsInstance(index.faiss_index    ,  faiss.IndexFlat)




      def 	_SCREAMING_SNAKE_CASE    (					self     :				int)				->int:


          """simple docstring"""


          import faiss

          _lowerCamelCase     :		Dict 						=						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=_UpperCamelCase) as tmp_file:
              index.save(tmp_file.name)
              _lowerCamelCase     :		Optional[int] 						=						FaissIndex.load(tmp_file.name)
          os.unlink(tmp_file.name)

          _lowerCamelCase     :		Optional[Any] 						=						np.zeros(5    ,  dtype=np.floataa)
          _lowerCamelCase     :		Tuple 						=						1
          _lowerCamelCase						,							_lowerCamelCase     :		Optional[int] 						=						index.search(_UpperCamelCase)
          self.assertGreater(scores[0]    ,  0)
          self.assertEqual(indices[0]    ,  1)







@require_faiss
def 						A__  (					__A	):







    '''simple docstring'''
    import faiss

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

    _lowerCamelCase     :		int 						=						"""index.faiss"""
    _lowerCamelCase     :		List[Any] 						=						F"""mock://{index_name}"""
    index.save(__A   , storage_options=mockfs.storage_options	)
    _lowerCamelCase     :		str 						=						FaissIndex.load(__A   , storage_options=mockfs.storage_options	)

    _lowerCamelCase     :		List[str] 						=						np.zeros(5   , dtype=np.floataa	)
    _lowerCamelCase     :		Any 						=						1
    _lowerCamelCase						,							_lowerCamelCase     :		Union[str, Any] 						=						index.search(__A	)
    assert scores[0] > 0
    assert indices[0] == 1




@require_elasticsearch
class 	__snake_case	( __lowerCAmelCase		):





      '''simple docstring'''






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


          """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:
              _lowerCamelCase     :		Optional[int] 						=						Elasticsearch()
              _lowerCamelCase     :		List[Any] 						=						{"""acknowledged""": True}
              _lowerCamelCase     :		Union[str, Any] 						=						ElasticSearchIndex(es_client=_UpperCamelCase)
              mocked_bulk.return_value([(True, None)] * 3)
              index.add_documents(["""foo""", """bar""", """foobar"""])

              # single query
              _lowerCamelCase     :		int 						=						"""foo"""
              _lowerCamelCase     :		List[str] 						=						{"""hits""": {"""hits""": [{"""_score""": 1, """_id""": 0}]}}
              _lowerCamelCase						,							_lowerCamelCase     :		Optional[int] 						=						index.search(_UpperCamelCase)
              self.assertEqual(scores[0]    ,  1)
              self.assertEqual(indices[0]    ,  0)

              # single query with timeout
              _lowerCamelCase     :		Dict 						=						"""foo"""
              _lowerCamelCase     :		str 						=						{"""hits""": {"""hits""": [{"""_score""": 1, """_id""": 0}]}}
              _lowerCamelCase						,							_lowerCamelCase     :		List[Any] 						=						index.search(_UpperCamelCase    ,  request_timeout=30)
              self.assertEqual(scores[0]    ,  1)
              self.assertEqual(indices[0]    ,  0)

              # batched queries
              _lowerCamelCase     :		List[str] 						=						["""foo""", """bar""", """foobar"""]
              _lowerCamelCase     :		Union[str, Any] 						=						{"""hits""": {"""hits""": [{"""_score""": 1, """_id""": 1}]}}
              _lowerCamelCase						,							_lowerCamelCase     :		Optional[Any] 						=						index.search_batch(_UpperCamelCase)
              _lowerCamelCase     :		str 						=						[scores[0] for scores in total_scores]
              _lowerCamelCase     :		Tuple 						=						[indices[0] for indices in total_indices]
              self.assertGreater(np.min(_UpperCamelCase)    ,  0)
              self.assertListEqual([1, 1, 1]    ,  _UpperCamelCase)

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





def 						A__  (					__A	):







    '''simple docstring'''
    _lowerCamelCase     :		Tuple 						=						0
    for ch in input_str:
        _lowerCamelCase     :		Optional[Any] 						=						ord(__A	)
        _lowerCamelCase     :		List[str] 						=						pow(2   , __A	)

        # If we already turned on bit for current character's unicode
        if bitmap >> ch_unicode & 1 == 1:
            return False
        bitmap |= ch_bit_index_on
    return True


if __name__ == "__main__":
    import doctest

    doctest.testmod()




