






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 		_A						( UpperCAmelCase_ ):

  def    a					(    self						:	Tuple			):
     """simple docstring"""

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

  def    a					(    self						:	Optional[Any]			):
     """simple docstring"""

     import faiss

     __UpperCamelCase	:			Dataset					=					self._create_dummy_dataset()
     __UpperCamelCase	:			Dict					=					dset.map(
         lambda lowerCamelCase__   ,				lowerCamelCase__			: {"vecs": i * np.ones(5   ,				dtype=np.floataa			)}   ,				with_indices=lowerCamelCase__   ,				keep_in_memory=lowerCamelCase__			)
     __UpperCamelCase	:			Optional[Any]					=					dset.add_faiss_index("""vecs"""   ,				batch_size=1_00   ,				metric_type=faiss.METRIC_INNER_PRODUCT			)
     __UpperCamelCase	,     __UpperCamelCase	:			str					=					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						:	Optional[Any]			):
     """simple docstring"""

     import faiss

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

  def    a					(    self						:	Union[str, Any]			):
     """simple docstring"""

     import faiss

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

  def    a					(    self						:	int			):
     """simple docstring"""

     __UpperCamelCase	:			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(lowerCamelCase__   ,				partial(dset.get_nearest_examples   ,				"""vecs2"""   ,				np.ones(5   ,				dtype=np.floataa			)			)			)

  def    a					(    self						:	Optional[int]			):
     """simple docstring"""

     from elasticsearch import Elasticsearch

     __UpperCamelCase	:			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:
        __UpperCamelCase	:			int					=					{"""acknowledged""": True}
        mocked_bulk.return_value([(True, None)] * 30			)
        __UpperCamelCase	:			Any					=					{"""hits""": {"""hits""": [{"""_score""": 1, """_id""": 29}]}}
        __UpperCamelCase	:			Dict					=					Elasticsearch()

        dset.add_elasticsearch_index("""filename"""   ,				es_client=lowerCamelCase__			)
        __UpperCamelCase	,     __UpperCamelCase	:			Optional[int]					=					dset.get_nearest_examples("""filename"""   ,				"""my_name-train_29"""			)
        self.assertEqual(examples["""filename"""][0]   ,				"""my_name-train_29"""			)







@require_faiss
class 		_A						( UpperCAmelCase_ ):

  def    a					(    self						:	List[Any]			):
     """simple docstring"""

     import faiss

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

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

  def    a					(    self						:	List[str]			):
     """simple docstring"""

     import faiss

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

  def    a					(    self						:	Tuple			):
     """simple docstring"""

     import faiss

     __UpperCamelCase	:			int					=					faiss.IndexFlat(5			)
     __UpperCamelCase	:			str					=					FaissIndex(custom_index=lowerCamelCase__			)
     index.add_vectors(np.eye(5   ,				dtype=np.floataa			)			)
     self.assertIsInstance(index.faiss_index   ,				faiss.IndexFlat			)

  def    a					(    self						:	str			):
     """simple docstring"""

     import faiss

     __UpperCamelCase	:			List[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=lowerCamelCase__			) as tmp_file:
        index.save(tmp_file.name			)
        __UpperCamelCase	:			str					=					FaissIndex.load(tmp_file.name			)
     os.unlink(tmp_file.name			)

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







@require_faiss
def 				__lowerCamelCase     (							__lowerCAmelCase							:					Optional[int]							)     ->  Union[str, Any]:
   import faiss

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

   __UpperCamelCase	:			Dict					=					"""index.faiss"""
   __UpperCamelCase	:			Tuple					=					f'mock://{index_name}'
   index.save(__lowerCAmelCase					,							storage_options=mockfs.storage_options							)
   __UpperCamelCase	:			List[str]					=					FaissIndex.load(__lowerCAmelCase					,							storage_options=mockfs.storage_options							)

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







@require_elasticsearch
class 		_A						( UpperCAmelCase_ ):

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

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

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

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

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











from __future__ import annotations

from typing import Any







class 		_A						:

  def __init__(    self						:	List[Any]   ,				lowerCamelCase__						:	int   ,				lowerCamelCase__						:	int   ,				lowerCamelCase__						:	float = 0			):
     """simple docstring"""

     __UpperCamelCase	,     __UpperCamelCase	:			Tuple					=					row, column
     __UpperCamelCase	:			Tuple					=					[[default_value for c in range(lowerCamelCase__			)] for r in range(lowerCamelCase__			)]

  def __str__(    self						:	List[Any]			):
     """simple docstring"""

     __UpperCamelCase	:			Dict					=					f'Matrix consist of {self.row} rows and {self.column} columns\n'

     # Make string identifier
     __UpperCamelCase	:			Optional[int]					=					0
     for row_vector in self.array:
        for obj in row_vector:
           __UpperCamelCase	:			int					=					max(lowerCamelCase__   ,				len(str(lowerCamelCase__			)			)			)
     __UpperCamelCase	:			Union[str, Any]					=					f'%{max_element_length}s'

     # Make string and return
     def single_line(lowerCamelCase__						:	list[float]			) -> str:
        nonlocal string_format_identifier
        __UpperCamelCase	:			List[Any]					=					"""["""
        line += ", ".join(string_format_identifier % (obj,) for obj in row_vector			)
        line += "]"
        return line

     s += "\n".join(single_line(lowerCamelCase__			) for row_vector in self.array			)
     return s

  def __repr__(    self						:	Any			):
     """simple docstring"""

     return str(self			)

  def    a					(    self						:	str   ,				lowerCamelCase__						:	tuple[int, int]			):
     """simple docstring"""

     if not (isinstance(lowerCamelCase__   ,				(list, tuple)			) and len(lowerCamelCase__			) == 2):
        return False
     elif not (0 <= loc[0] < self.row and 0 <= loc[1] < self.column):
        return False
     else:
        return True

  def __getitem__(    self						:	Union[str, Any]   ,				lowerCamelCase__						:	tuple[int, int]			):
     """simple docstring"""

     assert self.validate_indicies(lowerCamelCase__			)
     return self.array[loc[0]][loc[1]]

  def __setitem__(    self						:	Union[str, Any]   ,				lowerCamelCase__						:	tuple[int, int]   ,				lowerCamelCase__						:	float			):
     """simple docstring"""

     assert self.validate_indicies(lowerCamelCase__			)
     __UpperCamelCase	:			str					=					value

  def __add__(    self						:	int   ,				lowerCamelCase__						:	Matrix			):
     """simple docstring"""

     assert isinstance(lowerCamelCase__   ,				lowerCamelCase__			)
     assert self.row == another.row and self.column == another.column

     # Add
     __UpperCamelCase	:			Tuple					=					Matrix(self.row   ,				self.column			)
     for r in range(self.row			):
        for c in range(self.column			):
           __UpperCamelCase	:			Optional[int]					=					self[r, c] + another[r, c]
     return result

  def __neg__(    self						:	Optional[int]			):
     """simple docstring"""

     __UpperCamelCase	:			str					=					Matrix(self.row   ,				self.column			)
     for r in range(self.row			):
        for c in range(self.column			):
           __UpperCamelCase	:			Any					=					-self[r, c]
     return result

  def __sub__(    self						:	Tuple   ,				lowerCamelCase__						:	Matrix			):
     """simple docstring"""

     return self + (-another)

  def __mul__(    self						:	Tuple   ,				lowerCamelCase__						:	int | float | Matrix			):
     """simple docstring"""

     if isinstance(lowerCamelCase__   ,				(int, float)			):  # Scalar multiplication
        __UpperCamelCase	:			List[str]					=					Matrix(self.row   ,				self.column			)
        for r in range(self.row			):
           for c in range(self.column			):
              __UpperCamelCase	:			Tuple					=					self[r, c] * another
        return result
     elif isinstance(lowerCamelCase__   ,				lowerCamelCase__			):  # Matrix multiplication
        assert self.column == another.row
        __UpperCamelCase	:			List[Any]					=					Matrix(self.row   ,				another.column			)
        for r in range(self.row			):
           for c in range(another.column			):
              for i in range(self.column			):
                 result[r, c] += self[r, i] * another[i, c]
        return result
     else:
        __UpperCamelCase	:			Any					=					f'Unsupported type given for another ({type(lowerCamelCase__			)})'
        raise TypeError(lowerCamelCase__			)

  def    a					(    self						:	Union[str, Any]			):
     """simple docstring"""

     __UpperCamelCase	:			Dict					=					Matrix(self.column   ,				self.row			)
     for r in range(self.row			):
        for c in range(self.column			):
           __UpperCamelCase	:			str					=					self[r, c]
     return result

  def    a					(    self						:	Any   ,				lowerCamelCase__						:	Matrix   ,				lowerCamelCase__						:	Matrix			):
     """simple docstring"""

     assert isinstance(lowerCamelCase__   ,				lowerCamelCase__			) and isinstance(lowerCamelCase__   ,				lowerCamelCase__			)
     assert self.row == self.column == u.row == v.row  # u, v should be column vector
     assert u.column == v.column == 1  # u, v should be column vector

     # Calculate
     __UpperCamelCase	:			Optional[int]					=					v.transpose()
     __UpperCamelCase	:			Tuple					=					(v_t * self * u)[0, 0] + 1
     if numerator_factor == 0:
        return None  # It's not invertable
     return self - ((self * u) * (v_t * self) * (1.0 / numerator_factor))


# Testing
if __name__ == "__main__":


       def 				__lowerCamelCase     (							)     ->  None:
          # a^(-1)
          __UpperCamelCase	:			str					=					Matrix(3					,							3					,							0							)
          for i in range(3							):
             __UpperCamelCase	:			List[str]					=					1
          print(f'a^(-1) is {ainv}'							)
          # u, v
          __UpperCamelCase	:			Any					=					Matrix(3					,							1					,							0							)
          __UpperCamelCase	,     __UpperCamelCase	,     __UpperCamelCase	:			Any					=					1, 2, -3
          __UpperCamelCase	:			int					=					Matrix(3					,							1					,							0							)
          __UpperCamelCase	,     __UpperCamelCase	,     __UpperCamelCase	:			Dict					=					4, -2, 5
          print(f'u is {u}'							)
          print(f'v is {v}'							)
          print(f'uv^T is {u * v.transpose()}'							)
          # Sherman Morrison
          print(f'(a + uv^T)^(-1) is {ainv.sherman_morrison(__lowerCAmelCase					,							__lowerCAmelCase							)}'							)


       def 				__lowerCamelCase     (							)     ->  None:
          import doctest

          doctest.testmod()



       testa()



