

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		:   str										=       pytest.mark.integration







@require_faiss
class  lowercase				(       lowercase_			):




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




				def     a							(					self       ):
											import faiss

											snake_case_							=    self._create_dummy_dataset()
											snake_case_							=    dset.map(
											    lambda snake_case      ,   snake_case       : {"vecs": i * np.ones(5      ,   dtype=np.floataa       )}      ,   with_indices=snake_case      ,   keep_in_memory=snake_case       )
											snake_case_							=    dset.add_faiss_index('vecs'      ,   batch_size=100      ,   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     a							(					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=100      ,   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     a							(					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=snake_case       ) 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     a							(					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(snake_case      ,   partial(dset.get_nearest_examples      ,   'vecs2'      ,   np.ones(5      ,   dtype=np.floataa       )       )       )




				def     a							(					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=snake_case       )
																		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  lowercase				(       lowercase_			):




				def     a							(					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(snake_case       )
											self.assertRaises(snake_case      ,   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(snake_case       )
											self.assertRaises(snake_case      ,   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(snake_case       )      ,   0       )
											self.assertListEqual([4, 3, 2, 1, 0]      ,   snake_case       )




				def     a							(					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(snake_case       ):
																		snake_case_							=    FaissIndex(string_factory='Flat'      ,   custom_index=faiss.IndexFlat(5       )       )




				def     a							(					self       ):
											import faiss

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




				def     a							(					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=snake_case       ) 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(snake_case       )
											self.assertGreater(scores[0]      ,   0       )
											self.assertEqual(indices[0]      ,   1       )





@require_faiss
def 					__lowerCamelCase	( UpperCamelCase__      ):







							'''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(UpperCamelCase__   ,							storage_options=mockfs.storage_options      )
							snake_case_							=    FaissIndex.load(UpperCamelCase__   ,							storage_options=mockfs.storage_options      )

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







@require_elasticsearch
class  lowercase				(       lowercase_			):




				def     a							(					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=snake_case       )
																		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(snake_case       )
																		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(snake_case      ,   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(snake_case       )
																		snake_case_							=    [scores[0] for scores in total_scores]
																		snake_case_							=    [indices[0] for indices in total_indices]
																		self.assertGreater(np.min(snake_case       )      ,   0       )
																		self.assertListEqual([1, 1, 1]      ,   snake_case       )

																		# batched queries with timeout
																		snake_case_							=    ['foo', 'bar', 'foobar']
																		snake_case_							=    {'hits': {'hits': [{'_score': 1, '_id': 1}]}}
																		snake_case_				,    snake_case_							=    index.search_batch(snake_case      ,   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(snake_case       )      ,   0       )
																		self.assertListEqual([1, 1, 1]      ,   snake_case       )







from __future__ import annotations

import collections
import pprint
from pathlib import Path





def 					__lowerCamelCase	( UpperCamelCase__      ):







							'''simple docstring'''






							return "".join(sorted(UpperCamelCase__      )      )





def 					__lowerCamelCase	( UpperCamelCase__      ):







							'''simple docstring'''






							return word_by_signature[signature(UpperCamelCase__      )]


_UpperCAmelCase		:   str										=       Path(__file__).parent.joinpath("""words.txt""").read_text(encoding="""utf-8""")
_UpperCAmelCase		:   Dict										=       sorted({word.strip().lower() for word in data.splitlines()})

_UpperCAmelCase		:   List[str]										=       collections.defaultdict(list)
for word in word_list:
					word_by_signature[signature(word)].append(word)

if __name__ == "__main__":
					_UpperCAmelCase		:   Dict										=       {word: anagram(word) for word in word_list if len(anagram(word)) > 1}

					with open("""anagrams.txt""", """w""") as file:
										file.write("""all_anagrams = \n """)
										file.write(pprint.pformat(all_anagrams))




