S1056 - Doodstream Official

nbrs = NearestNeighbors(n_neighbors=3, algorithm='brute', metric='euclidean').fit(video_features) distances, indices = nbrs.kneighbors(query_features)

app = Flask(__name__)

from flask import Flask, jsonify from sklearn.neighbors import NearestNeighbors import numpy as np S1056 - DoodStream

# Example in-memory video features video_features = np.array([ [1, 2, 3], [4, 5, 6], [7, 8, 9] ]) nbrs = NearestNeighbors(n_neighbors=3