class_docstr: Tensorflow printer which handles vectorized piecewise functions,
  logical operators, max/min, and relational operators.
class_docstr_tok: ["Tensorflow","printer","which","handles","vectorized","piecewise","functions",",","logical","operators",",","max\/min",",","and","relational","operators","."]
code: def _print_Function(self, expr):
      op = self.mapping.get(type(expr), None)
      if op is None:
          return super()._print_Basic(expr)
      children = [self._print(arg) for arg in expr.args]
      if len(children) == 1:
          return "%s(%s)" % (self._module_format(op), children[0])
      else:
          return self._expand_fold_binary_op(op, children)
  
imports: from sympy.external.importtools import version_tuple
  from collections.abc import Iterable
  from sympy.core.mul import Mul
  from sympy.core.singleton import S
  from sympy.codegen.cfunctions import Sqrt
  from sympy.external import import_module
  from sympy.printing.precedence import PRECEDENCE
  from sympy.printing.pycode import AbstractPythonCodePrinter, ArrayPrinter
  import sympy
label_desc: Use image node_id 2 for calling the TensorflowPrinter obj's underlying member method code with example usage: obj._print_Function(expr) and returns: super, unknown, self