code: def test_asfloat(self):
      # Sparse matrix
      sparse_matrix = csr_matrix((3, 4), dtype=np.int8)
      self.assertIs(sparse_matrix, asfloat(sparse_matrix))
  
      # Numpy array-like elements
      x = np.array([1, 2, 3], dtype=np.float32)
      self.assertIs(x, asfloat(x))
  
      x = np.array([1, 2, 3], dtype=np.int8)
      self.assertIsNot(x, asfloat(x))
  
      # Python list
      x = [1, 2, 3]
      self.assertEqual(asfloat(x).shape, (3,))
  
      # Tensorfow variables
      x = tf.placeholder(dtype=tf.int32)
      self.assertNotEqual(x.dtype, tf.float32)
      self.assertEqual(asfloat(x).dtype, tf.float32)
  
file_path: neupy/tests/utils/test_processing.py
imports: import numpy
  import tensorflow
  from scipy.sparse import csr_matrix
  from neupy.utils.processing import format_data, asfloat
  from base import BaseTestCase
label_desc: Use image node_id 2 for calling the ProcessingUtilsTestCase obj's underlying member method code with example usage: obj.test_asfloat() without return types