human
I am working on the file "Python/Chapter-08/Heap.ipynb".
The first task is:
Implementing Priority Queues as Heaps
Ths notebook presents <em style="color:blue">heaps</em>.  We define the set $\mathcal{H}$ of heaps by induction:

$\texttt{Nil} \in \mathcal{H}$.
$\texttt{Node}(p,v,l,r) \in \mathcal{H}$ if and only if the following is true:

$p \leq l \;\wedge\.
p \leq r$
The priority stored at the root is less than or equal to every other priority stored in
the heap. This condition is known as the heap condition.
It is important to remember that we associate high priorities
with small numbers.
      * $\mid l.\texttt{count}() - r.\texttt{count}() \mid \;\leq\, 1$
The number of elements in the left subtree differs from the number of elements stored in
the right subtree by at most one.
This condition is called the  balancing condition.
      * $l \in \mathcal{H} \;\wedge\.
r \in \mathcal{H}$
Both the left and the right subtree of a heap are themselves heaps.



The class Heap is a superclass for constructing heaps.  We will later define the classes Nil and Node that represent heaps of the form $\texttt{Nil}$ and $\texttt{Node}(p, v, l, r)$ respectively. 
* The class Heap has one static variable sNodeCount which is needed to assign unique identifiers to different nodes.
  Every object of the class Heap has a uniques identifier mID that is stored as a member variable.  This identifier is used 
  by graphviz in order to display a heap as a tree.
* In order to generate new identifiers we use the static variable sNodeCount as a counter.
  Every time a new node is created this counter is incremented.
Can you write Python code for it?
assistant
#Here is the Python code you requested.

class Heap:
    sNodeCount = 0
    
    def __init__(self):
        Heap.sNodeCount += 1
        self.mID = str(Heap.sNodeCount)
        
    def getID(self):
        return self.mID  # used only by graphviz