py2neo: Why using class attributes?
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py2neo uses class attributes to model the attributes of nodes in neo4j. What is the reason (or underlying architecture/philosophy) for not using instance attributes?
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Would there be an easy (generic) way to convert/map py2neo results (of type GraphObject) into objects with instance attributes?
Thank you for any hints or insights! 🙂
Attributes defined on the class can be overridden by attributes on sub-classes:
class A(object): x = 1 def __init__(self): self.y = 2 class B(A): x = 11 y = 22 b = B() print(b.x, b.y) will print
11 2 since the x is overridden when the class B is created, but then the A.__init__() method is ran which overwrites self.y with 2.
