original_docstring:  The classic K-L k-nearest neighbor continuous entropy estimator for the
          entropy of X conditioned on Y.
      
docstring: The classic K-L k-nearest neighbor continuous entropy estimator for the
  entropy of X conditioned on Y.
docstring_tokens: The classic K - L k - nearest neighbor continuous entropy estimator for the entropy of X conditioned on Y .
code: def centropyd(x, y, base=2):
      """ The classic K-L k-nearest neighbor continuous entropy estimator for the
          entropy of X conditioned on Y.
      """
      xy = np.c_[x, y]
      return entropyd(xy, base) - entropyd(y, base)
code_tokens: def centropyd ( x , y , base = 2 ) : xy = np . c_ [ x , y ] return entropyd ( xy , base ) - entropyd ( y , base )
short_docstring: The classic K-L k-nearest neighbor continuous entropy estimator for the
  entropy of X conditioned on Y.
short_docstring_tokens: The classic K - L k - nearest neighbor continuous entropy estimator for the entropy of X conditioned on Y .
comment: """ The classic K-L k-nearest neighbor continuous entropy estimator for the
          entropy of X conditioned on Y.
      """