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Although __storage is a class attribute, we can access it as self__storage (just as we can call methods using selfmethod()), because Python will look for it as an instance attribute, and not nding it will then look for it as a class attribute The one (theoretical) disadvantage of this approach is that if we have a class attribute and an instance attribute with the same name, one would hide the other (If this were really a problem we could always refer to the class attribute using the class, that is, ExternalStorage__storage Although hard-coding the class does not play well with subclassing in general, it doesn t really matter for private attributes since Python name-mangles the class name into them anyway) The implementation of the __get__() special method is slightly more sophisticated than before because we provide a means by which the ExternalStorage instance itself can be accessed For example, if we have p = Point(3, 4), we can access the x-coordinate with px, and we can access the ExternalStorage object that holds all the xs with Pointx To complete our coverage of descriptors we will create the Property descriptor that mimics the behavior of the built-in property() function, at least for setters and getters The code is in Propertypy Here is the complete NameAndExtension class that makes use of it:

Otherwise, if U is Tj, then this constraint carries no information and may be discarded Otherwise, the constraint is of the form Tj = Tk for k j Then all constraints involving Tj are rewritten such that Tj is replaced with Tk, and processing continues with the next type variable Then, for each remaining type variable Tj, the constraints Tj :> U are considered Given that these constraints are Tj :> U1 Tj :> Uk, the type of Tj is inferred as lub(U1 Uk), computed as follows: For a type U, we write ST(U) for the set of supertypes of U, and de ne the erased supertype set of U, EST(U) = { V | W in ST(U) and V = |W| } where|W| is the erasure ( 46) of W

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class NameAndExtension: def __init__(self, name, extension): self__name = name selfextension = extension @Property def name(self): return self__name # Uses the custom Property descriptor

The reason for computing the set of erased supertypes is to deal with situations where a type variable is constrained to be a supertype of several distinct invocations of a generic

itu-t/rec/x/x500up/

@Property # Uses the custom Property descriptor def extension(self): return self__extension @extensionsetter # Uses the custom Property descriptor def extension(self, extension): self__extension = extension

If U is not one of the type parameters of the method, then U is the type inferred for Tj Then all remaining constraints involving Tj are rewritten such that Tj is replaced with U There are necessarily no further equality constraints involving Tj, and processing continues with the next type parameter, if any

The North American Directory Forum (NADF) Documents (April 1993)

The usage is just the same as for the built-in @property decorator and for the @propertyNamesetter decorator Here is the start of the Property descriptor s implementation:

This concludes the process of determining constraints on the formal type parameters of a method Note that this process does not impose any constraints on the type parameters based on their declared bounds Once the actual type arguments are inferred, they will be tested against the declared bounds of the formal type parameters as part of applicability testing Note also that type inference does not affect soundness in any way If the types inferred are nonsensical, the invocation will yield a type error The type inference algorithm should be viewed as a heuristic, designed to perfdorm well in practice If it fails to infer the desired result, explicit type paramneters may be used instead

SD-0: NADF Standing Documents: A Brief Overview SD-1: Terms of Reference SD-2: Program Plan SD-3: Service Description SD-4: The Directory Schema SD-5: An X500 Naming Scheme for National DIT Subtrees and Its Application for C=CA and C=US SD-6: Guidelines on Naming and Subtrees SD-7: Mapping the North American DIT onto Directory Management Domains SD-8: The Experimental Pilot Plan SD-9: Charter, Procedure and Operations of the Central Administration for NADF SD-10: Security and Privacy: Policy and Services SD-11: Directory Security: Mechanisms and Practicality SD-12: Registry of ADDMD Names

type declaration, For example, if T :> List<String> and T :> List<Object>, simply intersecting the sets ST(List<String>) = {List<String>, Collection<String>, Object} and ST(List<Object>) = {List<Object>), Collection<Object>, Object} would yield a set {Object}, and we would have lost track of the fact that T can safely be assumed to be a List In contrast, intersecting EST(List<String>) = {List, Collection, Object} and EST(List<Object>) = {List, Collection, Object} yields {List, Collection, Object}, which we will eventually enable us to infer T = List< > as described below

self__setter = setter self__name__ = getter__name__

The erased candidate set for type parameter Tj , EC, is the intersection of all the sets EST(U) for each U in U1 Uk The minimal erased candidate set for Tj is MEC = { V | V in EC, and for all W V in EC, it is not the case that W <: V}

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