code: def __num_dist_rows__(array, ndigits=2):
      return array.shape[0] - int(
          (pd.DataFrame(array).sum(axis=1) < 0.999).sum()
      )
  
imports: import json
  import logging
  import numpy
  import pandas
  from collections import namedtuple
  from joblib import Parallel, delayed, cpu_count
  from scipy.stats import entropy
  from scipy.spatial.distance import pdist, squareform
  from sklearn.manifold import MDS, TSNE
  from pyLDAvis.utils import NumPyEncoder
label_desc: Use image node_id 1 for calling a global function with example usage: __num_dist_rows__(array, ndigits) and returns: unknown