code: def extend_bounds(problem):
      """Extends the problem bounds to the nearest power of two.
  
      Parameters
      ----------
      problem : dict
          The problem definition
      """
  
      num_vars = problem["num_vars"]
      num_ff_vars = 2 ** find_smallest(num_vars)
      num_dummy_variables = num_ff_vars - num_vars
  
      bounds = list(problem["bounds"])
      names = problem["names"]
      if num_dummy_variables > 0:
          bounds.extend([[0, 1] for x in range(num_dummy_variables)])
          names.extend(
              [
                  "dummy_" + str(var)
                  for var in range(num_dummy_variables)
              ]
          )
          problem["bounds"] = bounds
          problem["names"] = names
          problem["num_vars"] = num_ff_vars
  
      return problem
  
file_path: SALib/src/SALib/sample/ff.py
imports: from scipy.linalg import hadamard
  import numpy
  from .None import common_args
  from ..util import scale_samples, read_param_file
label_desc: Use image node_id 2 for calling a global function with example usage: extend_bounds(problem) and returns: problem