code: def to_dense(X):
      """Densify sparse matrix if issparse"""
      if sparse.issparse(X):
          return X.todense()
      else:
          return X
  
imports: import warnings
  import pandas
  import numpy
  from scipy import sparse
  from sklearn.base import BaseEstimator, TransformerMixin
  from sklearn.preprocessing import MultiLabelBinarizer, FunctionTransformer, LabelEncoder, normalize
  from sklearn.feature_extraction.text import HashingVectorizer
  from sklearn import feature_selection
label_desc: Use image node_id 2 for calling a global function with example usage: to_dense(X) and returns: X, X