parameters: (cls, subject, xfmname, value=0, **kwargs)
return_statement: return cls(np.ones(shape)*value, subject, xfmname, **kwargs)
docstring: Create a constant-valued VolumeData for the given subject and xfmname.
          Often useful for testing purposes.
  
          Parameters
          ----------
          subject : str
              Subject identifier. Must exist in the pycortex database.
          xfmname : str
              Transform name. Must exist in the pycortex database.
          value : float, optional
              Value that the VolumeData will be filled with.
          **kwargs
              Other keyword arguments are passed to the init function for this 
              class.
  
          Returns
          -------
          VolumeData subclass
              A VolumeData subclass object whose data is constant, equal to value.
docstring_summary: Create a constant-valued VolumeData for the given subject and xfmname.
          Often useful for testing purposes.
docstring_tokens: Create a constant - valued VolumeData for the given subject and xfmname . Often useful for testing purposes .
function: def empty(cls, subject, xfmname, value=0, **kwargs):
          """
          Create a constant-valued VolumeData for the given subject and xfmname.
          Often useful for testing purposes.
  
          Parameters
          ----------
          subject : str
              Subject identifier. Must exist in the pycortex database.
          xfmname : str
              Transform name. Must exist in the pycortex database.
          value : float, optional
              Value that the VolumeData will be filled with.
          **kwargs
              Other keyword arguments are passed to the init function for this 
              class.
  
          Returns
          -------
          VolumeData subclass
              A VolumeData subclass object whose data is constant, equal to value.
          """
          xfm = db.get_xfm(subject, xfmname)
          shape = xfm.shape
          return cls(np.ones(shape)*value, subject, xfmname, **kwargs)
function_tokens: def empty ( cls , subject , xfmname , value = 0 , * * kwargs ) : xfm = db . get_xfm ( subject , xfmname ) shape = xfm . shape return cls ( np . ones ( shape ) * value , subject , xfmname , * * kwargs )