parameters: (self, param_prefix="")
return_statement: return constraints
docstring: Returns a constraints string for the Fit algorithm
  
          :param param_prefix: An optional prefix for the parameter name
docstring_summary: Returns a constraints string for the Fit algorithm
docstring_tokens: Returns a constraints string for the Fit algorithm
function: def create_constraint_str(self, param_prefix=""):
          """Returns a constraints string for the Fit algorithm
  
          :param param_prefix: An optional prefix for the parameter name
          """
          constraints = super(GaussianMassProfile, self).create_constraint_str(param_prefix)
          if constraints != "":
              constraints += ","
          constraints += "{0}Intensity > 0.0".format(param_prefix)
          return constraints
function_tokens: def create_constraint_str ( self , param_prefix = "" ) : constraints = super ( GaussianMassProfile , self ) . create_constraint_str ( param_prefix ) if constraints != "" : constraints += "," constraints += "{0}Intensity > 0.0" . format ( param_prefix ) return constraints