code: def _check_if_array_of_floats(array_x: np.ndarray):
      """Checks if an arrays is made of floats. If not, raises an error.
  
      Parameters
      ----------
      array_x:
          Array to be checked
      """
      msg = "dtype of {} array must be 'float', float32 or float64"
      if array_x.dtype not in ["float", "float32", "float64"]:
          raise ValueError(msg.format(array_x))
  
imports: from typing import Dict, List
  import numpy
  from scipy.stats import norm
  from .None import common_args
  from ..util import read_param_file, compute_groups_matrix, ResultDict, _define_problem_with_groups, _compute_delta, _check_groups
label_desc: Use image node_id 14 for calling a global function with example usage: _check_if_array_of_floats(array_x) without return types