PySpark reference to self inside map() and reduce() functions

As stated in this question, I should avoid calling self inside a map function. Extending this, I have two questions: Let's use the same code stated there:

class C0(object):

  def func0(self, arg): # added self
    ...

  def func1(self, rdd): # added self
    func = self.func0
    result = rdd.map(lambda x: func(x))

1. Is result = rdd.map(lambda x:func(x)) the same thing as

   result = rdd.map(func)? Specially in this situation where I use func = self.func0 before?

2. Let's say func0 calls another method from the class:

class C0(object):

  def func2(self, arg):
    ...

  def func0(self, arg): # added self
    self.func2(arg)
    ...

  def func1(self, rdd): # added self
    func = self.func0
    result = rdd.map(lambda x: func(x))

How does Spark handle this? Should I do func2 = self.func2 inside func0?