code: def get_mnist():
      print("Downloading MNIST dataset...")
      X, y = fetch_openml(
          "mnist_784",
          version=1,
          return_X_y=True,
          as_frame=False,
          parser="pandas",
      )
      return X, y
  
file_path: Multicore-TSNE/MulticoreTSNE/examples/test.py
imports: import matplotlib
  import numpy
  from cycler import cycler
  from sklearn.datasets import fetch_openml
  from MulticoreTSNE import MulticoreTSNE
  import argparse
  import matplotlib.pyplot
label_desc: Use image node_id 1 for calling a global function with example usage: get_mnist() and returns: X,  y