| 1 | Proposal For Use of Virtual Tables | 
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| 2 | ================================== | 
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| 3 |  | 
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| 4 | This is an adaptation of the earlier virtual proposal, updating it with new | 
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| 5 | ideas, re-framing it and laying out more design decisions. It should | 
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| 6 | eventually replace the earlier proposal, but not all features and syntax have | 
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| 7 | been converted to the new design. | 
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| 8 |  | 
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| 9 | The basic concept of a virtual table (vtable) is the same here as in most | 
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| 10 | other languages. They will mostly contain function pointers although they | 
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| 11 | should be able to store anything that goes into a trait. | 
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| 12 |  | 
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| 13 | Trait Instances | 
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| 14 | --------------- | 
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| 15 |  | 
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| 16 | Currently traits are completely abstract. Data types might implement a trait | 
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| 17 | but traits are not themselves data types. This will change that and allow | 
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| 18 | instances of traits to be created from instances of data types that implement | 
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| 19 | the trait. | 
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| 20 |  | 
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| 21 | trait combiner(otype T) { | 
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| 22 | void combine(T&, int); | 
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| 23 | }; | 
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| 24 |  | 
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| 25 | struct summation { | 
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| 26 | int sum; | 
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| 27 | }; | 
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| 28 |  | 
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| 29 | void ?{}( struct summation & this ) { | 
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| 30 | this.sum = 0; | 
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| 31 | } | 
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| 32 |  | 
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| 33 | void combine( struct summation & this, int num ) { | 
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| 34 | this.sum = this.sum + num; | 
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| 35 | } | 
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| 36 |  | 
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| 37 | trait combiner obj = struct summation{}; | 
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| 38 | combine(obj, 5); | 
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| 39 |  | 
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| 40 | As with `struct` (and `union` and `enum`), `trait` might be optional when | 
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| 41 | using the trait as a type name. A trait may be used in assertion list as | 
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| 42 | before. | 
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| 43 |  | 
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| 44 | Internally a trait object is a pair of pointers. One to an underlying object | 
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| 45 | and the other to the vtable. All calls on an trait are implemented by looking | 
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| 46 | up the matching function pointer and passing the underlying object and the | 
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| 47 | remaining arguments to it. | 
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| 48 |  | 
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| 49 | Trait objects can be moved by moving the pointers. Almost all other operations | 
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| 50 | require some functions to be implemented on the underlying type. Depending on | 
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| 51 | what is in the virtual table a trait type could be a dtype or otype. | 
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| 52 |  | 
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| 53 | Hierarchy | 
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| 54 | --------- | 
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| 55 |  | 
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| 56 | Virtual tables by them selves are not quite enough to implement the planned | 
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| 57 | hierarchy system. An addition of type ids, implemented as pointers which | 
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| 58 | point to your parent's type id, is required to actually create the shape of | 
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| 59 | the hierarchy. However vtables would allow behaviour to be carried with the | 
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| 60 | tree. | 
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| 61 |  | 
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| 62 | The hierarchy would be a tree of types, of traits and structs. Currently we do | 
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| 63 | not support structural extension, so traits form the internal nodes and | 
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| 64 | structures the leaf nodes. | 
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| 65 |  | 
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| 66 | The syntax is undecided but it will include a clause like `virtual (PARENT)` | 
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| 67 | on trait and struct definitions. It marks out all types in a hierarchy. | 
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| 68 | PARENT may be omitted, if it is this type is the root of a hierarchy. Otherwise | 
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| 69 | it is the name of the type that is this type's parent in the hierarchy. | 
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| 70 |  | 
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| 71 | Traits define a trait instance type that implements all assertions in this | 
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| 72 | trait and its parents up until the root of the hierarchy. Each trait then | 
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| 73 | defines a vtable type. Structures will also have a vtable type but it should | 
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| 74 | be the same as their parent's. | 
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| 75 |  | 
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| 76 | Trait objects within the tree can be statically cast to a parent type. Casts | 
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| 77 | from a parent type to a child type are conditional, they check to make sure | 
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| 78 | the underlying instance is an instance of the child type, or an instance of | 
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| 79 | one of its children. The type then is recoverable at run-time. | 
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| 80 |  | 
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| 81 | As with regular trait objects, calling a function on a trait object will cause | 
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| 82 | a look-up on the the virtual table. The casting rules make sure anything that | 
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| 83 | can be cast to a trait type will have all the function implementations for | 
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| 84 | that trait. | 
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| 85 |  | 
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| 86 | Converting from a concrete type (structures at the edge of the hierarchy) to | 
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| 87 | an abstract type works the same as with normal trait objects, the underlying | 
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| 88 | object is packaged with a virtual table pointer. Converting back to an abstract | 
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| 89 | type requires confirming the underlying type matches, but then simply extracts | 
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| 90 | the pointer to it. | 
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| 91 |  | 
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| 92 | ### Inline vtables | 
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| 93 | Since the structures here are usually made to be turned into trait objects | 
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| 94 | it might be worth it to have fields on them to store the virtual table | 
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| 95 | pointer. This would have to be declared on the trait as an assertion, but if | 
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| 96 | it is the trait object could be a single pointer. | 
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| 97 |  | 
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| 98 | It is trivial to do if the field with the virtual table pointer is fixed. | 
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| 99 | Otherwise some trickery with pointing to the field and storing the offset in | 
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| 100 | the virtual table to recover the main object would have to be used. | 
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| 101 |  | 
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| 102 | ### Virtual Tables as Types | 
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| 103 | Here we consider encoding plus the implementation of functions on it. Which | 
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| 104 | is to say in the type hierarchy structures aren't concrete types anymore, | 
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| 105 | instead they are parent types to vtables, which combine the encoding and | 
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| 106 | implementation. | 
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| 107 |  | 
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| 108 | Resolution Scope | 
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| 109 | ---------------- | 
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| 110 |  | 
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| 111 | What is the scope of a resolution? When are the functions in a vtable decided | 
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| 112 | and how broadly is this applied? | 
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| 113 |  | 
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| 114 | ### Type Level: | 
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| 115 | Each structure has a single resolution for all of the functions in the | 
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| 116 | virtual trait. This is how many languages that implement this or similar | 
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| 117 | features do it. | 
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| 118 |  | 
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| 119 | The main thing CFA would need to do it this way is some single point where | 
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| 120 | the type declaration, including the functions that satisfy the trait, are | 
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| 121 | all defined. Currently there are many points where this can happen, not all | 
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| 122 | of them will have the same definitions and no way to select one over the | 
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| 123 | other. | 
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| 124 |  | 
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| 125 | Some syntax would have to be added. All resolutions can be found at compile | 
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| 126 | time and a single vtable created for each type at compilation time. | 
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| 127 |  | 
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| 128 | ### Explicit Resolution Points: | 
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| 129 | Slightly looser than the above, there are explicit points where the vtables | 
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| 130 | are resolved, but there is no limit on the number of resolution points that | 
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| 131 | might be provided. Each time a object is bound to a trait, one of the | 
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| 132 | resolutions is selected. This might be the most flexible option. | 
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| 133 |  | 
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| 134 | An syntax would have to be provided as above. There may also be the option | 
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| 135 | to name resolution points so that you can choose between them. This also | 
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| 136 | could come with the ability to forward declare them. | 
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| 137 |  | 
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| 138 | Especially if they are not named, these resolution points should be able to | 
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| 139 | appear in functions, where the scoping rules can be used to select one. | 
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| 140 | However this also means that stack-allocated functions can end up in the | 
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| 141 | vtable. | 
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| 142 |  | 
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| 143 | ### Site Based Resolution: | 
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| 144 | Every place in code where the binding of a vtable to an object occurs has | 
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| 145 | its own resolution. Syntax-wise this is the simplest as it should be able | 
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| 146 | to use just the existing declarations and the conversion to trait object. | 
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| 147 | It also is very close to the current polymorphic resolution rules. | 
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| 148 |  | 
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| 149 | This works as the explicit resolution points except the resolution points | 
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| 150 | are implicit and their would be no selection of which resolution to use. The | 
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| 151 | closest (current) resolution is always selected. | 
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| 152 |  | 
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| 153 | This could easily lead to an explosion of vtables as it has the most fine | 
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| 154 | grained resolution the number of bindings in a single scope (that produces | 
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| 155 | the same binding) could be quite high. Merging identical vtables might help | 
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| 156 | reduce that. | 
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| 157 |  | 
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| 158 | Vtable Lifetime Issues | 
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| 159 | ---------------------- | 
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| 160 |  | 
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| 161 | Vtables interact badly with the thunk issue. Conceptually vtables are static | 
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| 162 | like type/function data they carry, as those decisions are made by the | 
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| 163 | resolver at compile time. | 
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| 164 |  | 
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| 165 | Stack allocated functions interact badly with this because they are not | 
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| 166 | static. There are several ways to try to resolve this, however without a | 
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| 167 | general solution most can only buy time. | 
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| 168 |  | 
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| 169 | Filling in some fields of a static vtable could cause issues on a recursive | 
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| 170 | call. And then we are still limited by the lifetime of the stack functions, as | 
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| 171 | the vtable with stale pointers is still a problem. | 
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| 172 |  | 
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| 173 | Dynamically allocated vtables introduces memory management overhead and | 
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| 174 | requires some way to differentiate between dynamic and statically allocated | 
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| 175 | tables. The stale function pointer problem continues unless those becomes | 
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| 176 | dynamically allocated as well which gives us the same costs again. | 
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| 177 |  | 
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| 178 | Stack allocating the vtable seems like the best issue. The vtable's lifetime | 
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| 179 | is now the limiting factor but it should be effectively the same as the | 
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| 180 | shortest lifetime of a function assigned to it. However this still limits the | 
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| 181 | lifetime "implicitly" and returns to the original problem with thunks. | 
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