





"""simple docstring"""
from itertools import product

from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import dot, exp, mgrid, pi, ravel, square, uinta, zeros

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    str  ,     _UpperCAmelCase					:    Any			):
 lowerCAmelCase    				= k_size // 2
 lowerCAmelCase				,lowerCAmelCase    				= mgrid[0 - center : k_size - center, 0 - center : k_size - center]
 lowerCAmelCase    				= 1 / (2 * pi * sigma) * exp(-(square(_UpperCAmelCase			) + square(_UpperCAmelCase			)) / (2 * square(_UpperCAmelCase			))			)
 return g

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    List[str]  ,     _UpperCAmelCase					:    int  ,     _UpperCAmelCase					:    Optional[Any]			):
 lowerCAmelCase				,lowerCAmelCase    				= image.shape[0], image.shape[1]
 # dst image height and width
 lowerCAmelCase    				= height - k_size + 1
 lowerCAmelCase    				= width - k_size + 1

 # im2col, turn the k_size*k_size pixels into a row and np.vstack all rows
 lowerCAmelCase    				= zeros((dst_height * dst_width, k_size * k_size)			)
 lowerCAmelCase    				= 0
 for i, j in product(range(_UpperCAmelCase			)  ,     range(_UpperCAmelCase			)			):
  lowerCAmelCase    				= ravel(image[i : i + k_size, j : j + k_size]			)
  lowerCAmelCase    				= window
  row += 1

 #  turn the kernel into shape(k*k, 1)
 lowerCAmelCase    				= gen_gaussian_kernel(_UpperCAmelCase  ,     _UpperCAmelCase			)
 lowerCAmelCase    				= ravel(_UpperCAmelCase			)

 # reshape and get the dst image
 lowerCAmelCase    				= dot(_UpperCAmelCase  ,     _UpperCAmelCase			).reshape(_UpperCAmelCase  ,     _UpperCAmelCase			).astype(_UpperCAmelCase			)

 return dst


if __name__ == "__main__":
       # read original image
       __UpperCamelCase     :						Tuple						       =  imread(R'''../image_data/lena.jpg''')
       # turn image in gray scale value
       __UpperCamelCase     :						int						       =  cvtColor(img, COLOR_BGR2GRAY)

       # get values with two different mask size
       __UpperCamelCase     :						Optional[Any]						       =  gaussian_filter(gray, 3, sigma=1)
       __UpperCamelCase     :						Tuple						       =  gaussian_filter(gray, 5, sigma=0.8)

       # show result images
       imshow('''gaussian filter with 3x3 mask''', gaussianaxa)
       imshow('''gaussian filter with 5x5 mask''', gaussianaxa)
       waitKey()












"""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     :						Optional[int]						       =  pytest.mark.integration







@require_faiss
class       a							(   a__  ):



 def    UpperCamelCase__  (     self     ):







  """simple docstring"""






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



 def    UpperCamelCase__  (     self     ):







  """simple docstring"""






  import faiss

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







  """simple docstring"""






  import faiss

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



 def    UpperCamelCase__  (     self     ):







  """simple docstring"""






  import faiss

  lowerCAmelCase    				= 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     )

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



 def    UpperCamelCase__  (     self     ):







  """simple docstring"""






  lowerCAmelCase    				= 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    UpperCamelCase__  (     self     ):







  """simple docstring"""






  from elasticsearch import Elasticsearch

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

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







@require_faiss
class       a							(   a__  ):



 def    UpperCamelCase__  (     self     ):







  """simple docstring"""






  import faiss

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



 def    UpperCamelCase__  (     self     ):







  """simple docstring"""






  import faiss

  lowerCAmelCase    				= FaissIndex(string_factory='Flat'     )
  index.add_vectors(np.eye(5				,       dtype=np.floataa     )     )
  self.assertIsInstance(index.faiss_index				,       faiss.IndexFlat     )
  lowerCAmelCase    				= 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     ):
   lowerCAmelCase    				= FaissIndex(string_factory='Flat'				,       custom_index=faiss.IndexFlat(5     )     )



 def    UpperCamelCase__  (     self     ):







  """simple docstring"""






  import faiss

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



 def    UpperCamelCase__  (     self     ):







  """simple docstring"""






  import faiss

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

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


@require_faiss
def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    Dict			):
 import faiss

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

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

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







@require_elasticsearch
class       a							(   a__  ):



 def    UpperCamelCase__  (     self     ):







  """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:
   lowerCAmelCase    				= Elasticsearch()
   lowerCAmelCase    				= {'acknowledged': True}
   lowerCAmelCase    				= ElasticSearchIndex(es_client=_snake_case     )
   mocked_bulk.return_value([(True, None)] * 3     )
   index.add_documents(['foo', 'bar', 'foobar']     )

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

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

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





