class_docstr: Generate code for a fused-type special function that can be
  cimported in Cython.
docstr: Generate pure input variables to a specialization,
  i.e., variables that aren't used to return a value.
docstr_tok: ["Generate","pure","input","variables","to","a","specialization",",","i.e.",",","variables","that","are","n't","used","to","return","a","value","."]
code: def _get_incallvars(self, intypes, c):
      """Generate pure input variables to a specialization,
      i.e., variables that aren't used to return a value.
  
      """
      incallvars = []
      for n, intype in enumerate(intypes):
          var = self.invars[n]
          if c and intype == "double complex":
              var = npy_cdouble_from_double_complex(var)
          incallvars.append(var)
      return incallvars
  
imports: import itertools
  import json
  import os
  from stat import ST_MTIME
  import argparse
  import re
  import textwrap
  import numpy
label_desc: Use image node_id 6 for calling the FusedFunc obj's underlying member method code with example usage: obj._get_incallvars(intypes, c) and returns: incallvars