





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_					:   Union[str, Any] 							=						pytest.mark.integration





@require_faiss
class      lowercase__    (							__A  ):







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







  def 	UpperCAmelCase__		(	self						):
       import faiss

       lowerCAmelCase_					:       Dataset    =		self._create_dummy_dataset()
       lowerCAmelCase_					:       int    =		dset.map(
           lambda _lowercase    ,						_lowercase						: {"vecs": i * np.ones(5    ,						dtype=np.floataa						)}    ,						with_indices=_lowercase    ,						keep_in_memory=_lowercase						)
       lowerCAmelCase_					:       Any    =		dset.add_faiss_index("""vecs"""    ,						batch_size=100    ,						metric_type=faiss.METRIC_INNER_PRODUCT						)
       lowerCAmelCase_   ,  lowerCAmelCase_					:       Tuple    =		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

       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_					:       Union[str, Any]    =		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

       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=_lowercase						) 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 	UpperCAmelCase__		(	self						):
       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(_lowercase    ,						partial(dset.get_nearest_examples    ,						"""vecs2"""    ,						np.ones(5    ,						dtype=np.floataa						)						)						)







  def 	UpperCAmelCase__		(	self						):
       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_					:       Optional[Any]    =		Elasticsearch()

            dset.add_elasticsearch_index("""filename"""    ,						es_client=_lowercase						)
            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      lowercase__    (							__A  ):







  def 	UpperCAmelCase__		(	self						):
       import faiss

       lowerCAmelCase_					:       Union[str, 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[str]    =		np.zeros(5    ,						dtype=np.floataa						)
       lowerCAmelCase_					:       List[str]    =		1
       lowerCAmelCase_   ,  lowerCAmelCase_					:       str    =		index.search(_lowercase						)
       self.assertRaises(_lowercase    ,						index.search    ,						query.reshape(-1    ,						1						)						)
       self.assertGreater(scores[0]    ,						0						)
       self.assertEqual(indices[0]    ,						1						)

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







  def 	UpperCAmelCase__		(	self						):
       import faiss

       lowerCAmelCase_					:       Any    =		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(_lowercase						):
            lowerCAmelCase_					:       int    =		FaissIndex(string_factory="""Flat"""    ,						custom_index=faiss.IndexFlat(5						)						)







  def 	UpperCAmelCase__		(	self						):
       import faiss

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







  def 	UpperCAmelCase__		(	self						):
       import faiss

       lowerCAmelCase_					:       Union[str, Any]    =		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=_lowercase						) as tmp_file:
            index.save(tmp_file.name						)
            lowerCAmelCase_					:       str    =		FaissIndex.load(tmp_file.name						)
       os.unlink(tmp_file.name						)

       lowerCAmelCase_					:       Any    =		np.zeros(5    ,						dtype=np.floataa						)
       lowerCAmelCase_					:       Union[str, Any]    =		1
       lowerCAmelCase_   ,  lowerCAmelCase_					:       int    =		index.search(_lowercase						)
       self.assertGreater(scores[0]    ,						0						)
       self.assertEqual(indices[0]    ,						1						)






@require_faiss
def 							_lowerCAmelCase (  _a   :					List[Any]			)	->			Optional[Any]:
     import faiss

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

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

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







@require_elasticsearch
class      lowercase__    (							__A  ):







  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:
            lowerCAmelCase_					:       Dict    =		Elasticsearch()
            lowerCAmelCase_					:       Tuple    =		{"""acknowledged""": True}
            lowerCAmelCase_					:       Tuple    =		ElasticSearchIndex(es_client=_lowercase						)
            mocked_bulk.return_value([(True, None)] * 3						)
            index.add_documents(["""foo""", """bar""", """foobar"""]						)

            # single query
            lowerCAmelCase_					:       Tuple    =		"""foo"""
            lowerCAmelCase_					:       Optional[Any]    =		{"""hits""": {"""hits""": [{"""_score""": 1, """_id""": 0}]}}
            lowerCAmelCase_   ,  lowerCAmelCase_					:       List[Any]    =		index.search(_lowercase						)
            self.assertEqual(scores[0]    ,						1						)
            self.assertEqual(indices[0]    ,						0						)

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

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

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







from collections import namedtuple

UpperCAmelCase_					:   Union[str, Any] 							=						namedtuple("""from_to""", """from_ to""")

UpperCAmelCase_					:   int 							=						{
    """cubicmeter""": from_to(1, 1),
    """litre""": from_to(0.0_01, 10_00),
    """kilolitre""": from_to(1, 1),
    """gallon""": from_to(0.0_04_54, 2_64.1_72),
    """cubicyard""": from_to(0.7_64_55, 1.3_07_95),
    """cubicfoot""": from_to(0.0_28, 35.31_47),
    """cup""": from_to(0.0_00_23_65_88, 42_26.75),
}






def 							_lowerCAmelCase (  _a   :					float					,   _a   :					str					,   _a   :					str			)	->			float:
     if from_type not in METRIC_CONVERSION:
          raise ValueError(
              F'Invalid \'from_type\' value: {from_type!r}  Supported values are:\n'
              + """, """.join(_a			)			)
     if to_type not in METRIC_CONVERSION:
          raise ValueError(
              F'Invalid \'to_type\' value: {to_type!r}.  Supported values are:\n'
              + """, """.join(_a			)			)
     return value * METRIC_CONVERSION[from_type].from_ * METRIC_CONVERSION[to_type].to


if __name__ == "__main__":
      import doctest

      doctest.testmod()
