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

@require_faiss
class 	_lowercase(  UpperCAmelCase__					):



   """simple docstring"""





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





   def       snake_case						(				self:     Union[str, Any]						):
    import faiss

    __UpperCAmelCase								=       self._create_dummy_dataset()
    __UpperCAmelCase								=       dset.map(
        lambda a      ,a						: {"vecs": i * np.ones(5      ,dtype=np.floataa						)}      ,with_indices=_UpperCAmelCase      ,keep_in_memory=_UpperCAmelCase						)
    __UpperCAmelCase								=       dset.add_faiss_index('vecs'      ,batch_size=100      ,metric_type=faiss.METRIC_INNER_PRODUCT						)
    __UpperCAmelCase	,      __UpperCAmelCase								=       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       snake_case						(				self:     Tuple						):
    import faiss

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





   def       snake_case						(				self:     Union[str, Any]						):
    import faiss

    __UpperCAmelCase								=       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						)

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





   def       snake_case						(				self:     Dict						):
    __UpperCAmelCase								=       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       snake_case						(				self:     int						):
    from elasticsearch import Elasticsearch

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

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




@require_faiss
class 	_lowercase(  UpperCAmelCase__					):



   """simple docstring"""





   def       snake_case						(				self:     Any						):
    import faiss

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

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





   def       snake_case						(				self:     List[str]						):
    import faiss

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





   def       snake_case						(				self:     Optional[Any]						):
    import faiss

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





   def       snake_case						(				self:     str						):
    import faiss

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

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




@require_faiss
def     __snake_case			(							lowerCAmelCase							:  Tuple      ):
 import faiss

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

 __UpperCAmelCase								=       'index.faiss'
 __UpperCAmelCase								=       F"""mock://{index_name}"""
 index.save(lowerCAmelCase   ,	storage_options=mockfs.storage_options      )
 __UpperCAmelCase								=       FaissIndex.load(lowerCAmelCase   ,	storage_options=mockfs.storage_options      )

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

@require_elasticsearch
class 	_lowercase(  UpperCAmelCase__					):



   """simple docstring"""





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

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

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

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

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







from __future__ import annotations

from collections import deque
from collections.abc import Sequence
from dataclasses import dataclass
from typing import Any



@dataclass
class 				A       :
					'''simple docstring'''






					A__     =					42
					A__     =					None
					A__     =					None






def 					UpperCamelCase   (      )  ->    Node | None:
		"""simple docstring"""




		lowercase__	     =						Node(1	)
		lowercase__	     =						Node(2	)
		lowercase__	     =						Node(3	)
		lowercase__	     =						Node(4	)
		lowercase__	     =						Node(5	)
		return tree






def 					UpperCamelCase   (      __magic_name__	:				Node | None	)  ->    list[int]:
		"""simple docstring"""




		return [root.data, *preorder(root.left	), *preorder(root.right	)] if root else []






def 					UpperCamelCase   (      __magic_name__	:				Node | None	)  ->    list[int]:
		"""simple docstring"""




		return postorder(root.left	) + postorder(root.right	) + [root.data] if root else []






def 					UpperCamelCase   (      __magic_name__	:				Node | None	)  ->    list[int]:
		"""simple docstring"""




		return [*inorder(root.left	), root.data, *inorder(root.right	)] if root else []






def 					UpperCamelCase   (      __magic_name__	:				Node | None	)  ->    int:
		"""simple docstring"""




		return (max(height(root.left	)       ,       height(root.right	)	) + 1) if root else 0






def 					UpperCamelCase   (      __magic_name__	:				Node | None	)  ->    Sequence[Node | None]:
		"""simple docstring"""




		lowercase__	     =						[]

		if root is None:
				return output

		lowercase__	     =						deque([root]	)

		while process_queue:
				lowercase__	     =						process_queue.popleft()
				output.append(node.data	)

				if node.left:
						process_queue.append(node.left	)
				if node.right:
						process_queue.append(node.right	)
		return output






def 					UpperCamelCase   (      __magic_name__	:				Node | None       ,       __magic_name__	:				int	)  ->    Sequence[Node | None]:
		"""simple docstring"""




		lowercase__	     =						[]

		def populate_output(__magic_name__	:				Node | None       ,       __magic_name__	:				int	) -> None:
				if not root:
						return
				if level == 1:
						output.append(root.data	)
				elif level > 1:
						populate_output(root.left       ,       level - 1	)
						populate_output(root.right       ,       level - 1	)

		populate_output(__magic_name__       ,       __magic_name__	)
		return output






def 					UpperCamelCase   (      __magic_name__	:				Node | None       ,       __magic_name__	:				int	)  ->    Sequence[Node | None]:
		"""simple docstring"""




		lowercase__	     =						[]

		def populate_output(__magic_name__	:				Node | None       ,       __magic_name__	:				int	) -> None:
				if root is None:
						return
				if level == 1:
						output.append(root.data	)
				elif level > 1:
						populate_output(root.right       ,       level - 1	)
						populate_output(root.left       ,       level - 1	)

		populate_output(__magic_name__       ,       __magic_name__	)
		return output






def 					UpperCamelCase   (      __magic_name__	:				Node | None	)  ->    Sequence[Node | None] | list[Any]:
		"""simple docstring"""




		if root is None:
				return []

		lowercase__	     =						[]

		lowercase__	     =						0
		lowercase__	     =						height(__magic_name__	)

		for h in range(1       ,       height_tree + 1	):
				if not flag:
						output.append(get_nodes_from_left_to_right(__magic_name__       ,       __magic_name__	)	)
						lowercase__	     =						1
				else:
						output.append(get_nodes_from_right_to_left(__magic_name__       ,       __magic_name__	)	)
						lowercase__	     =						0

		return output






def 					UpperCamelCase   (      )  ->    None:  # Main function for testing.
		"""simple docstring"""




		lowercase__	     =						make_tree()
		print(f'''In-order Traversal: {inorder(__magic_name__	)}'''	)
		print(f'''Pre-order Traversal: {preorder(__magic_name__	)}'''	)
		print(f'''Post-order Traversal: {postorder(__magic_name__	)}'''       ,       """\n"""	)

		print(f'''Height of Tree: {height(__magic_name__	)}'''       ,       """\n"""	)

		print("""Complete Level Order Traversal: """	)
		print(level_order(__magic_name__	)       ,       """\n"""	)

		print("""Level-wise order Traversal: """	)

		for level in range(1       ,       height(__magic_name__	) + 1	):
				print(f'''Level {level}:'''       ,       get_nodes_from_left_to_right(__magic_name__       ,       level=__magic_name__	)	)

		print("""\nZigZag order Traversal: """	)
		print(zigzag(__magic_name__	)	)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()

