


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_						(			lowerCamelCase__	):

 '''simple docstring'''

 def 						UpperCamelCase__					(     self ):
       snake_case_	=				Dataset.from_dict({'''filename''': ['''my_name-train''' + '''_''' + str(_UpperCAmelCase ) for x in np.arange(30 ).tolist()]} )
       return dset



 def 						UpperCamelCase__					(     self ):
       import faiss

       snake_case_	=				self._create_dummy_dataset()
       snake_case_	=				dset.map(
           lambda _UpperCAmelCase		,				_UpperCAmelCase : {"vecs": i * np.ones(5		,				dtype=np.floataa )}		,				with_indices=_UpperCAmelCase		,				keep_in_memory=_UpperCAmelCase )
       snake_case_	=				dset.add_faiss_index('''vecs'''		,				batch_size=1_00		,				metric_type=faiss.METRIC_INNER_PRODUCT )
       snake_case_	,   snake_case_	=				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 ):
       import faiss

       snake_case_	=				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=1_00		,				metric_type=faiss.METRIC_INNER_PRODUCT		,				)
       snake_case_	,   snake_case_	=				dset.get_nearest_examples('''vecs'''		,				np.ones(5		,				dtype=np.floataa ) )
       self.assertEqual(examples['''filename'''][0]		,				'''my_name-train_29''' )



 def 						UpperCamelCase__					(     self ):
       import faiss

       snake_case_	=				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 )

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



 def 						UpperCamelCase__					(     self ):
       snake_case_	=				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 						UpperCamelCase__					(     self ):
       from elasticsearch import Elasticsearch

       snake_case_	=				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:
             snake_case_	=				{'''acknowledged''': True}
             mocked_bulk.return_value([(True, None)] * 30 )
             snake_case_	=				{'''hits''': {'''hits''': [{'''_score''': 1, '''_id''': 29}]}}
             snake_case_	=				Elasticsearch()

             dset.add_elasticsearch_index('''filename'''		,				es_client=_UpperCAmelCase )
             snake_case_	,   snake_case_	=				dset.get_nearest_examples('''filename'''		,				'''my_name-train_29''' )
             self.assertEqual(examples['''filename'''][0]		,				'''my_name-train_29''' )







@require_faiss
class lowerCAmelCase_						(			lowerCamelCase__	):

 '''simple docstring'''

 def 						UpperCamelCase__					(     self ):
       import faiss

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

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



 def 						UpperCamelCase__					(     self ):
       import faiss

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



 def 						UpperCamelCase__					(     self ):
       import faiss

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





 def 						UpperCamelCase__					(     self ):
       import faiss

       snake_case_	=				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 )
             snake_case_	=				FaissIndex.load(tmp_file.name )
       os.unlink(tmp_file.name )

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






@require_faiss
def 	__lowerCAmelCase   (SCREAMING_SNAKE_CASE )->  Any:




      """simple docstring"""

      import faiss

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

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

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







@require_elasticsearch
class lowerCAmelCase_						(			lowerCamelCase__	):

 '''simple docstring'''

 def 						UpperCamelCase__					(     self ):
       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:
             snake_case_	=				Elasticsearch()
             snake_case_	=				{'''acknowledged''': True}
             snake_case_	=				ElasticSearchIndex(es_client=_UpperCAmelCase )
             mocked_bulk.return_value([(True, None)] * 3 )
             index.add_documents(['''foo''', '''bar''', '''foobar'''] )

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

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

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

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



# Function to print upper half of diamond (pyramid)






def 	__lowerCAmelCase   (SCREAMING_SNAKE_CASE )->  Dict:




      """simple docstring"""

      for i in range(0 , SCREAMING_SNAKE_CASE ):
            for _ in range(0 , n - i - 1 ):  # printing spaces
                  print(''' ''' , end='''''' )
            for _ in range(0 , i + 1 ):  # printing stars
                  print('''* ''' , end='''''' )
            print()






def 	__lowerCAmelCase   (SCREAMING_SNAKE_CASE )->  Dict:




      """simple docstring"""

      for i in range(SCREAMING_SNAKE_CASE , 0 , -1 ):
            for _ in range(SCREAMING_SNAKE_CASE , 0 , -1 ):  # printing stars
                  print('''* ''' , end='''''' )
            print()
            for _ in range(n - i + 1 , 0 , -1 ):  # printing spaces
                  print(''' ''' , end='''''' )






def 	__lowerCAmelCase   (SCREAMING_SNAKE_CASE )->  Any:




      """simple docstring"""

      if n <= 0:
            print('''       ...       ....        nothing printing :(''' )
            return
      floyd(SCREAMING_SNAKE_CASE )  # upper half
      reverse_floyd(SCREAMING_SNAKE_CASE )  # lower half


if __name__ == "__main__":
   print(r"""| /\ | |- |  |-  |--| |\  /| |-""")
   print(r"""|/  \| |- |_ |_  |__| | \/ | |_""")
   UpperCAmelCase      =   1
   while K:
      UpperCAmelCase      =   int(input("""enter the number and , and see the magic : """))
      print()
      pretty_print(user_number)
      UpperCAmelCase      =   int(input("""press 0 to exit... and 1 to continue..."""))

   print("""Good Bye...""")