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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