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1 (* Copyright (c) 2008-2012, Adam Chlipala
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2 *
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3 * This work is licensed under a
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4 * Creative Commons Attribution-Noncommercial-No Derivative Works 3.0
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5 * Unported License.
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6 * The license text is available at:
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7 * http://creativecommons.org/licenses/by-nc-nd/3.0/
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8 *)
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9
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10 (* begin hide *)
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11 Require Import Arith Bool List.
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12
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13 Require Import CpdtTactics MoreSpecif.
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14
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15 Set Implicit Arguments.
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16 (* end hide *)
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17
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18
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19 (** %\chapter{More Dependent Types}% *)
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20
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21 (** Subset types and their relatives help us integrate verification with programming. Though they reorganize the certified programmer's workflow, they tend not to have deep effects on proofs. We write largely the same proofs as we would for classical verification, with some of the structure moved into the programs themselves. It turns out that, when we use dependent types to their full potential, we warp the development and proving process even more than that, picking up "free theorems" to the extent that often a certified program is hardly more complex than its uncertified counterpart in Haskell or ML.
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22
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23 In particular, we have only scratched the tip of the iceberg that is Coq's inductive definition mechanism. The inductive types we have seen so far have their counterparts in the other proof assistants that we surveyed in Chapter 1. This chapter explores the strange new world of dependent inductive datatypes (that is, dependent inductive types outside [Prop]), a possibility that sets Coq apart from all of the competition not based on type theory. *)
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24
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25
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26 (** * Length-Indexed Lists *)
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27
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28 (** Many introductions to dependent types start out by showing how to use them to eliminate array bounds checks%\index{array bounds checks}%. When the type of an array tells you how many elements it has, your compiler can detect out-of-bounds dereferences statically. Since we are working in a pure functional language, the next best thing is length-indexed lists%\index{length-indexed lists}%, which the following code defines. *)
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29
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30 Section ilist.
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31 Variable A : Set.
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32
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33 Inductive ilist : nat -> Set :=
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34 | Nil : ilist O
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35 | Cons : forall n, A -> ilist n -> ilist (S n).
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36
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37 (** We see that, within its section, [ilist] is given type [nat -> Set]. Previously, every inductive type we have seen has either had plain [Set] as its type or has been a predicate with some type ending in [Prop]. The full generality of inductive definitions lets us integrate the expressivity of predicates directly into our normal programming.
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38
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39 The [nat] argument to [ilist] tells us the length of the list. The types of [ilist]'s constructors tell us that a [Nil] list has length [O] and that a [Cons] list has length one greater than the length of its tail. We may apply [ilist] to any natural number, even natural numbers that are only known at runtime. It is this breaking of the%\index{phase distinction}% _phase distinction_ that characterizes [ilist] as _dependently typed_.
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40
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41 In expositions of list types, we usually see the length function defined first, but here that would not be a very productive function to code. Instead, let us implement list concatenation. *)
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42
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43 Fixpoint app n1 (ls1 : ilist n1) n2 (ls2 : ilist n2) : ilist (n1 + n2) :=
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44 match ls1 with
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45 | Nil => ls2
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46 | Cons _ x ls1' => Cons x (app ls1' ls2)
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47 end.
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48
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49 (** Past Coq versions signalled an error for this definition. The code is still invalid within Coq's core language, but current Coq versions automatically add annotations to the original program, producing a valid core program. These are the annotations on [match] discriminees that we began to study in the previous chapter. We can rewrite [app] to give the annotations explicitly. *)
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50
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51 (* begin thide *)
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52 Fixpoint app' n1 (ls1 : ilist n1) n2 (ls2 : ilist n2) : ilist (n1 + n2) :=
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53 match ls1 in (ilist n1) return (ilist (n1 + n2)) with
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54 | Nil => ls2
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55 | Cons _ x ls1' => Cons x (app' ls1' ls2)
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56 end.
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57 (* end thide *)
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58
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59 (** Using [return] alone allowed us to express a dependency of the [match] result type on the _value_ of the discriminee. What %\index{Gallina terms!in}%[in] adds to our arsenal is a way of expressing a dependency on the _type_ of the discriminee. Specifically, the [n1] in the [in] clause above is a _binding occurrence_ whose scope is the [return] clause.
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60
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61 We may use [in] clauses only to bind names for the arguments of an inductive type family. That is, each [in] clause must be an inductive type family name applied to a sequence of underscores and variable names of the proper length. The positions for _parameters_ to the type family must all be underscores. Parameters are those arguments declared with section variables or with entries to the left of the first colon in an inductive definition. They cannot vary depending on which constructor was used to build the discriminee, so Coq prohibits pointless matches on them. It is those arguments defined in the type to the right of the colon that we may name with [in] clauses.
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62
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63 Our [app] function could be typed in so-called%\index{stratified type systems}% _stratified_ type systems, which avoid true dependency. That is, we could consider the length indices to lists to live in a separate, compile-time-only universe from the lists themselves. This stratification between a compile-time universe and a run-time universe, with no references to the latter in the former, gives rise to the terminology "stratified." Our next example would be harder to implement in a stratified system. We write an injection function from regular lists to length-indexed lists. A stratified implementation would need to duplicate the definition of lists across compile-time and run-time versions, and the run-time versions would need to be indexed by the compile-time versions. *)
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64
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65 (* EX: Implement injection from normal lists *)
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66
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67 (* begin thide *)
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68 Fixpoint inject (ls : list A) : ilist (length ls) :=
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69 match ls with
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70 | nil => Nil
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71 | h :: t => Cons h (inject t)
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72 end.
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73
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74 (** We can define an inverse conversion and prove that it really is an inverse. *)
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75
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76 Fixpoint unject n (ls : ilist n) : list A :=
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77 match ls with
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78 | Nil => nil
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79 | Cons _ h t => h :: unject t
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80 end.
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81
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82 Theorem inject_inverse : forall ls, unject (inject ls) = ls.
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83 induction ls; crush.
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84 Qed.
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85 (* end thide *)
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86
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87 (* EX: Implement statically checked "car"/"hd" *)
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88
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89 (** Now let us attempt a function that is surprisingly tricky to write. In ML, the list head function raises an exception when passed an empty list. With length-indexed lists, we can rule out such invalid calls statically, and here is a first attempt at doing so. We write [???] as a placeholder for a term that we do not know how to write, not for any real Coq notation like those introduced two chapters ago.
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90
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91 [[
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92 Definition hd n (ls : ilist (S n)) : A :=
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93 match ls with
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94 | Nil => ???
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95 | Cons _ h _ => h
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96 end.
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97
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98 ]]
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99
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100 It is not clear what to write for the [Nil] case, so we are stuck before we even turn our function over to the type checker. We could try omitting the [Nil] case:
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101
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102 [[
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103 Definition hd n (ls : ilist (S n)) : A :=
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104 match ls with
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105 | Cons _ h _ => h
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106 end.
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107 ]]
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108
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109 <<
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110 Error: Non exhaustive pattern-matching: no clause found for pattern Nil
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111 >>
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112
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113 Unlike in ML, we cannot use inexhaustive pattern matching, because there is no conception of a <<Match>> exception to be thrown. In fact, recent versions of Coq _do_ allow this, by implicit translation to a [match] that considers all constructors. It is educational to discover that encoding ourselves directly. We might try using an [in] clause somehow.
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114
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115 [[
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116 Definition hd n (ls : ilist (S n)) : A :=
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117 match ls in (ilist (S n)) with
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118 | Cons _ h _ => h
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119 end.
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120 ]]
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121
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122 <<
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123 Error: The reference n was not found in the current environment
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124 >>
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125
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126 In this and other cases, we feel like we want [in] clauses with type family arguments that are not variables. Unfortunately, Coq only supports variables in those positions. A completely general mechanism could only be supported with a solution to the problem of higher-order unification%~\cite{HOU}%, which is undecidable. There _are_ useful heuristics for handling non-variable indices which are gradually making their way into Coq, but we will spend some time in this and the next few chapters on effective pattern matching on dependent types using only the primitive [match] annotations.
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127
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128 Our final, working attempt at [hd] uses an auxiliary function and a surprising [return] annotation. *)
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129
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130 (* begin thide *)
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131 Definition hd' n (ls : ilist n) :=
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132 match ls in (ilist n) return (match n with O => unit | S _ => A end) with
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133 | Nil => tt
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134 | Cons _ h _ => h
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135 end.
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136
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137 Check hd'.
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138 (** %\vspace{-.15in}% [[
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139 hd'
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140 : forall n : nat, ilist n -> match n with
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141 | 0 => unit
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142 | S _ => A
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143 end
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144
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145 ]]
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146 *)
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147
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148 Definition hd n (ls : ilist (S n)) : A := hd' ls.
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149 (* end thide *)
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150
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151 End ilist.
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152
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153 (** We annotate our main [match] with a type that is itself a [match]. We write that the function [hd'] returns [unit] when the list is empty and returns the carried type [A] in all other cases. In the definition of [hd], we just call [hd']. Because the index of [ls] is known to be nonzero, the type checker reduces the [match] in the type of [hd'] to [A]. *)
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154
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155
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156 (** * The One Rule of Dependent Pattern Matching in Coq *)
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157
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158 (** The rest of this chapter will demonstrate a few other elegant applications of dependent types in Coq. Readers encountering such ideas for the first time often feel overwhelmed, concluding that there is some magic at work whereby Coq sometimes solves the halting problem for the programmer and sometimes does not, applying automated program understanding in a way far beyond what is found in conventional languages. The point of this section is to cut off that sort of thinking right now! Dependent type-checking in Coq follows just a few algorithmic rules. Chapters 10 and 12 introduce many of those rules more formally, and the main additional rule is centered on%\index{dependent pattern matching}% _dependent pattern matching_ of the kind we met in the previous section.
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159
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160 A dependent pattern match is a [match] expression where the type of the overall [match] is a function of the value and/or the type of the%\index{discriminee}% _discriminee_, the value being matched on. In other words, the [match] type _depends_ on the discriminee.
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161
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162 When exactly will Coq accept a dependent pattern match as well-typed? Some other dependently typed languages employ fancy decision procedures to determine when programs satisfy their very expressive types. The situation in Coq is just the opposite. Only very straightforward symbolic rules are applied. Such a design choice has its drawbacks, as it forces programmers to do more work to convince the type checker of program validity. However, the great advantage of a simple type checking algorithm is that its action on _invalid_ programs is easier to understand!
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163
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164 We come now to the one rule of dependent pattern matching in Coq. A general dependent pattern match assumes this form (with unnecessary parentheses included to make the syntax easier to parse):
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165 [[
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166 match E in (T x1 ... xn) as y return U with
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167 | C z1 ... zm => B
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168 | ...
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169 end
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170 ]]
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171
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172 The discriminee is a term [E], a value in some inductive type family [T], which takes [n] arguments. An %\index{in clause}%[in] clause binds an explicit name [xi] for the [i]th argument passed to [T] in the type of [E]. An %\index{as clause}%[as] clause binds the name [y] to refer to the discriminee [E].
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173
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174 We bind these new variables [xi] and [y] so that they may be referred to in [U], a type given in the %\index{return clause}%[return] clause. The overall type of the [match] will be [U], with [E] substituted for [y], and with each [xi] substituted by the actual argument appearing in that position within [E]'s type.
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175
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176 In general, each case of a [match] may have a pattern built up in several layers from the constructors of various inductive type families. To keep this exposition simple, we will focus on patterns that are just single applications of inductive type constructors to lists of variables. Coq actually compiles the more general kind of pattern matching into this more restricted kind automatically, so understanding the typing of [match] requires understanding the typing of [match]es lowered to match one constructor at a time.
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177
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178 The last piece of the typing rule tells how to type-check a [match] case. A generic constructor application [C z1 ... zm] has some type [T x1' ... xn'], an application of the type family used in [E]'s type, probably with occurrences of the [zi] variables. From here, a simple recipe determines what type we will require for the case body [B]. The type of [B] should be [U] with the following two substitutions applied: we replace [y] (the [as] clause variable) with [C z1 ... zm], and we replace each [xi] (the [in] clause variables) with [xi']. In other words, we specialize the result type based on what we learn based on which pattern has matched the discriminee.
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179
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180 This is an exhaustive description of the ways to specify how to take advantage of which pattern has matched! No other mechanisms come into play. For instance, there is no way to specify that the types of certain free variables should be refined based on which pattern has matched. In the rest of the book, we will learn design patterns for achieving similar effects, where each technique leads to an encoding only in terms of [in], [as], and [return] clauses.
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181
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182 A few details have been omitted above. In Chapter 3, we learned that inductive type families may have both%\index{parameters}% _parameters_ and regular arguments. Within an [in] clause, a parameter position must have the wildcard [_] written, instead of a variable. (In general, Coq uses wildcard [_]'s either to indicate pattern variables that will not be mentioned again or to indicate positions where we would like type inference to infer the appropriate terms.) Furthermore, recent Coq versions are adding more and more heuristics to infer dependent [match] annotations in certain conditions. The general annotation inference problem is undecidable, so there will always be serious limitations on how much work these heuristics can do. When in doubt about why a particular dependent [match] is failing to type-check, add an explicit [return] annotation! At that point, the mechanical rule sketched in this section will provide a complete account of "what the type checker is thinking." Be sure to avoid the common pitfall of writing a [return] annotation that does not mention any variables bound by [in] or [as]; such a [match] will never refine typing requirements based on which pattern has matched. (One simple exception to this rule is that, when the discriminee is a variable, that same variable may be treated as if it were repeated as an [as] clause.) *)
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183
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184
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185 (** * A Tagless Interpreter *)
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186
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187 (** A favorite example for motivating the power of functional programming is implementation of a simple expression language interpreter. In ML and Haskell, such interpreters are often implemented using an algebraic datatype of values, where at many points it is checked that a value was built with the right constructor of the value type. With dependent types, we can implement a%\index{tagless interpreters}% _tagless_ interpreter that both removes this source of runtime inefficiency and gives us more confidence that our implementation is correct. *)
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188
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189 Inductive type : Set :=
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190 | Nat : type
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191 | Bool : type
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192 | Prod : type -> type -> type.
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193
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194 Inductive exp : type -> Set :=
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195 | NConst : nat -> exp Nat
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196 | Plus : exp Nat -> exp Nat -> exp Nat
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197 | Eq : exp Nat -> exp Nat -> exp Bool
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198
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199 | BConst : bool -> exp Bool
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200 | And : exp Bool -> exp Bool -> exp Bool
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201 | If : forall t, exp Bool -> exp t -> exp t -> exp t
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202
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203 | Pair : forall t1 t2, exp t1 -> exp t2 -> exp (Prod t1 t2)
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204 | Fst : forall t1 t2, exp (Prod t1 t2) -> exp t1
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205 | Snd : forall t1 t2, exp (Prod t1 t2) -> exp t2.
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206
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207 (** We have a standard algebraic datatype [type], defining a type language of naturals, booleans, and product (pair) types. Then we have the indexed inductive type [exp], where the argument to [exp] tells us the encoded type of an expression. In effect, we are defining the typing rules for expressions simultaneously with the syntax.
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208
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209 We can give types and expressions semantics in a new style, based critically on the chance for _type-level computation_. *)
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210
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211 Fixpoint typeDenote (t : type) : Set :=
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212 match t with
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213 | Nat => nat
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214 | Bool => bool
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215 | Prod t1 t2 => typeDenote t1 * typeDenote t2
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216 end%type.
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217
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218 (** The [typeDenote] function compiles types of our object language into "native" Coq types. It is deceptively easy to implement. The only new thing we see is the [%]%\coqdocvar{%#<tt>#type#</tt>#%}% annotation, which tells Coq to parse the [match] expression using the notations associated with types. Without this annotation, the [*] would be interpreted as multiplication on naturals, rather than as the product type constructor. The token %\coqdocvar{%#<tt>#type#</tt>#%}% is one example of an identifer bound to a%\index{notation scope delimiter}% _notation scope delimiter_. In this book, we will not go into more detail on notation scopes, but the Coq manual can be consulted for more information.
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219
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220 We can define a function [expDenote] that is typed in terms of [typeDenote]. *)
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221
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222 Fixpoint expDenote t (e : exp t) : typeDenote t :=
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223 match e with
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224 | NConst n => n
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225 | Plus e1 e2 => expDenote e1 + expDenote e2
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226 | Eq e1 e2 => if eq_nat_dec (expDenote e1) (expDenote e2) then true else false
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227
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228 | BConst b => b
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229 | And e1 e2 => expDenote e1 && expDenote e2
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230 | If _ e' e1 e2 => if expDenote e' then expDenote e1 else expDenote e2
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231
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232 | Pair _ _ e1 e2 => (expDenote e1, expDenote e2)
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233 | Fst _ _ e' => fst (expDenote e')
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234 | Snd _ _ e' => snd (expDenote e')
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235 end.
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236
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237 (* begin hide *)
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238 (* begin thide *)
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239 Definition sumboool := sumbool.
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240 (* end thide *)
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241 (* end hide *)
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242
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243 (** Despite the fancy type, the function definition is routine. In fact, it is less complicated than what we would write in ML or Haskell 98, since we do not need to worry about pushing final values in and out of an algebraic datatype. The only unusual thing is the use of an expression of the form [if E then true else false] in the [Eq] case. Remember that [eq_nat_dec] has a rich dependent type, rather than a simple boolean type. Coq's native [if] is overloaded to work on a test of any two-constructor type, so we can use [if] to build a simple boolean from the [sumbool] that [eq_nat_dec] returns.
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244
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245 We can implement our old favorite, a constant folding function, and prove it correct. It will be useful to write a function [pairOut] that checks if an [exp] of [Prod] type is a pair, returning its two components if so. Unsurprisingly, a first attempt leads to a type error.
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246
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247 [[
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248 Definition pairOut t1 t2 (e : exp (Prod t1 t2)) : option (exp t1 * exp t2) :=
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249 match e in (exp (Prod t1 t2)) return option (exp t1 * exp t2) with
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adamc@85
|
250 | Pair _ _ e1 e2 => Some (e1, e2)
|
adamc@85
|
251 | _ => None
|
adamc@85
|
252 end.
|
adam@338
|
253 ]]
|
adamc@85
|
254
|
adam@338
|
255 <<
|
adamc@85
|
256 Error: The reference t2 was not found in the current environment
|
adam@338
|
257 >>
|
adamc@85
|
258
|
adamc@85
|
259 We run again into the problem of not being able to specify non-variable arguments in [in] clauses. The problem would just be hopeless without a use of an [in] clause, though, since the result type of the [match] depends on an argument to [exp]. Our solution will be to use a more general type, as we did for [hd]. First, we define a type-valued function to use in assigning a type to [pairOut]. *)
|
adamc@85
|
260
|
adamc@100
|
261 (* EX: Define a function [pairOut : forall t1 t2, exp (Prod t1 t2) -> option (exp t1 * exp t2)] *)
|
adamc@100
|
262
|
adamc@100
|
263 (* begin thide *)
|
adamc@85
|
264 Definition pairOutType (t : type) :=
|
adamc@85
|
265 match t with
|
adamc@85
|
266 | Prod t1 t2 => option (exp t1 * exp t2)
|
adamc@85
|
267 | _ => unit
|
adamc@85
|
268 end.
|
adamc@85
|
269
|
adamc@85
|
270 (** When passed a type that is a product, [pairOutType] returns our final desired type. On any other input type, [pairOutType] returns [unit], since we do not care about extracting components of non-pairs. Now we can write another helper function to provide the default behavior of [pairOut], which we will apply for inputs that are not literal pairs. *)
|
adamc@85
|
271
|
adamc@85
|
272 Definition pairOutDefault (t : type) :=
|
adamc@85
|
273 match t return (pairOutType t) with
|
adamc@85
|
274 | Prod _ _ => None
|
adamc@85
|
275 | _ => tt
|
adamc@85
|
276 end.
|
adamc@85
|
277
|
adamc@85
|
278 (** Now [pairOut] is deceptively easy to write. *)
|
adamc@85
|
279
|
adamc@85
|
280 Definition pairOut t (e : exp t) :=
|
adamc@85
|
281 match e in (exp t) return (pairOutType t) with
|
adamc@85
|
282 | Pair _ _ e1 e2 => Some (e1, e2)
|
adamc@85
|
283 | _ => pairOutDefault _
|
adamc@85
|
284 end.
|
adamc@100
|
285 (* end thide *)
|
adamc@85
|
286
|
adam@338
|
287 (** There is one important subtlety in this definition. Coq allows us to use convenient ML-style pattern matching notation, but, internally and in proofs, we see that patterns are expanded out completely, matching one level of inductive structure at a time. Thus, the default case in the [match] above expands out to one case for each constructor of [exp] besides [Pair], and the underscore in [pairOutDefault _] is resolved differently in each case. From an ML or Haskell programmer's perspective, what we have here is type inference determining which code is run (returning either [None] or [tt]), which goes beyond what is possible with type inference guiding parametric polymorphism in Hindley-Milner languages%\index{Hindley-Milner}%, but is similar to what goes on with Haskell type classes%\index{type classes}%.
|
adamc@85
|
288
|
adam@417
|
289 With [pairOut] available, we can write [cfold] in a straightforward way. There are really no surprises beyond that Coq verifies that this code has such an expressive type, given the small annotation burden. In some places, we see that Coq's [match] annotation inference is too smart for its own good, and we have to turn that inference with explicit [return] clauses. *)
|
adamc@85
|
290
|
adamc@204
|
291 Fixpoint cfold t (e : exp t) : exp t :=
|
adamc@204
|
292 match e with
|
adamc@85
|
293 | NConst n => NConst n
|
adamc@85
|
294 | Plus e1 e2 =>
|
adamc@85
|
295 let e1' := cfold e1 in
|
adamc@85
|
296 let e2' := cfold e2 in
|
adam@417
|
297 match e1', e2' return exp Nat with
|
adamc@85
|
298 | NConst n1, NConst n2 => NConst (n1 + n2)
|
adamc@85
|
299 | _, _ => Plus e1' e2'
|
adamc@85
|
300 end
|
adamc@85
|
301 | Eq e1 e2 =>
|
adamc@85
|
302 let e1' := cfold e1 in
|
adamc@85
|
303 let e2' := cfold e2 in
|
adam@417
|
304 match e1', e2' return exp Bool with
|
adamc@85
|
305 | NConst n1, NConst n2 => BConst (if eq_nat_dec n1 n2 then true else false)
|
adamc@85
|
306 | _, _ => Eq e1' e2'
|
adamc@85
|
307 end
|
adamc@85
|
308
|
adamc@85
|
309 | BConst b => BConst b
|
adamc@85
|
310 | And e1 e2 =>
|
adamc@85
|
311 let e1' := cfold e1 in
|
adamc@85
|
312 let e2' := cfold e2 in
|
adam@417
|
313 match e1', e2' return exp Bool with
|
adamc@85
|
314 | BConst b1, BConst b2 => BConst (b1 && b2)
|
adamc@85
|
315 | _, _ => And e1' e2'
|
adamc@85
|
316 end
|
adamc@85
|
317 | If _ e e1 e2 =>
|
adamc@85
|
318 let e' := cfold e in
|
adamc@85
|
319 match e' with
|
adamc@85
|
320 | BConst true => cfold e1
|
adamc@85
|
321 | BConst false => cfold e2
|
adamc@85
|
322 | _ => If e' (cfold e1) (cfold e2)
|
adamc@85
|
323 end
|
adamc@85
|
324
|
adamc@85
|
325 | Pair _ _ e1 e2 => Pair (cfold e1) (cfold e2)
|
adamc@85
|
326 | Fst _ _ e =>
|
adamc@85
|
327 let e' := cfold e in
|
adamc@85
|
328 match pairOut e' with
|
adamc@85
|
329 | Some p => fst p
|
adamc@85
|
330 | None => Fst e'
|
adamc@85
|
331 end
|
adamc@85
|
332 | Snd _ _ e =>
|
adamc@85
|
333 let e' := cfold e in
|
adamc@85
|
334 match pairOut e' with
|
adamc@85
|
335 | Some p => snd p
|
adamc@85
|
336 | None => Snd e'
|
adamc@85
|
337 end
|
adamc@85
|
338 end.
|
adamc@85
|
339
|
adamc@85
|
340 (** The correctness theorem for [cfold] turns out to be easy to prove, once we get over one serious hurdle. *)
|
adamc@85
|
341
|
adamc@85
|
342 Theorem cfold_correct : forall t (e : exp t), expDenote e = expDenote (cfold e).
|
adamc@100
|
343 (* begin thide *)
|
adamc@85
|
344 induction e; crush.
|
adamc@85
|
345
|
adamc@85
|
346 (** The first remaining subgoal is:
|
adamc@85
|
347
|
adamc@85
|
348 [[
|
adamc@85
|
349 expDenote (cfold e1) + expDenote (cfold e2) =
|
adamc@85
|
350 expDenote
|
adamc@85
|
351 match cfold e1 with
|
adamc@85
|
352 | NConst n1 =>
|
adamc@85
|
353 match cfold e2 with
|
adamc@85
|
354 | NConst n2 => NConst (n1 + n2)
|
adamc@85
|
355 | Plus _ _ => Plus (cfold e1) (cfold e2)
|
adamc@85
|
356 | Eq _ _ => Plus (cfold e1) (cfold e2)
|
adamc@85
|
357 | BConst _ => Plus (cfold e1) (cfold e2)
|
adamc@85
|
358 | And _ _ => Plus (cfold e1) (cfold e2)
|
adamc@85
|
359 | If _ _ _ _ => Plus (cfold e1) (cfold e2)
|
adamc@85
|
360 | Pair _ _ _ _ => Plus (cfold e1) (cfold e2)
|
adamc@85
|
361 | Fst _ _ _ => Plus (cfold e1) (cfold e2)
|
adamc@85
|
362 | Snd _ _ _ => Plus (cfold e1) (cfold e2)
|
adamc@85
|
363 end
|
adamc@85
|
364 | Plus _ _ => Plus (cfold e1) (cfold e2)
|
adamc@85
|
365 | Eq _ _ => Plus (cfold e1) (cfold e2)
|
adamc@85
|
366 | BConst _ => Plus (cfold e1) (cfold e2)
|
adamc@85
|
367 | And _ _ => Plus (cfold e1) (cfold e2)
|
adamc@85
|
368 | If _ _ _ _ => Plus (cfold e1) (cfold e2)
|
adamc@85
|
369 | Pair _ _ _ _ => Plus (cfold e1) (cfold e2)
|
adamc@85
|
370 | Fst _ _ _ => Plus (cfold e1) (cfold e2)
|
adamc@85
|
371 | Snd _ _ _ => Plus (cfold e1) (cfold e2)
|
adamc@85
|
372 end
|
adamc@213
|
373
|
adamc@85
|
374 ]]
|
adamc@85
|
375
|
adamc@85
|
376 We would like to do a case analysis on [cfold e1], and we attempt that in the way that has worked so far.
|
adamc@85
|
377
|
adamc@85
|
378 [[
|
adamc@85
|
379 destruct (cfold e1).
|
adam@338
|
380 ]]
|
adamc@85
|
381
|
adam@338
|
382 <<
|
adamc@85
|
383 User error: e1 is used in hypothesis e
|
adam@338
|
384 >>
|
adamc@85
|
385
|
adamc@85
|
386 Coq gives us another cryptic error message. Like so many others, this one basically means that Coq is not able to build some proof about dependent types. It is hard to generate helpful and specific error messages for problems like this, since that would require some kind of understanding of the dependency structure of a piece of code. We will encounter many examples of case-specific tricks for recovering from errors like this one.
|
adamc@85
|
387
|
adam@350
|
388 For our current proof, we can use a tactic [dep_destruct]%\index{tactics!dep\_destruct}% defined in the book [CpdtTactics] module. General elimination/inversion of dependently typed hypotheses is undecidable, since it must be implemented with [match] expressions that have the restriction on [in] clauses that we have already discussed. The tactic [dep_destruct] makes a best effort to handle some common cases, relying upon the more primitive %\index{tactics!dependent destruction}%[dependent destruction] tactic that comes with Coq. In a future chapter, we will learn about the explicit manipulation of equality proofs that is behind [dep_destruct]'s implementation in Ltac, but for now, we treat it as a useful black box. (In Chapter 12, we will also see how [dependent destruction] forces us to make a larger philosophical commitment about our logic than we might like, and we will see some workarounds.) *)
|
adamc@85
|
389
|
adamc@85
|
390 dep_destruct (cfold e1).
|
adamc@85
|
391
|
adamc@85
|
392 (** This successfully breaks the subgoal into 5 new subgoals, one for each constructor of [exp] that could produce an [exp Nat]. Note that [dep_destruct] is successful in ruling out the other cases automatically, in effect automating some of the work that we have done manually in implementing functions like [hd] and [pairOut].
|
adamc@85
|
393
|
adam@405
|
394 This is the only new trick we need to learn to complete the proof. We can back up and give a short, automated proof. *)
|
adamc@85
|
395
|
adamc@85
|
396 Restart.
|
adamc@85
|
397
|
adamc@85
|
398 induction e; crush;
|
adamc@85
|
399 repeat (match goal with
|
adam@405
|
400 | [ |- context[match cfold ?E with NConst _ => _ | _ => _ end] ] =>
|
adamc@213
|
401 dep_destruct (cfold E)
|
adamc@213
|
402 | [ |- context[match pairOut (cfold ?E) with Some _ => _
|
adamc@213
|
403 | None => _ end] ] =>
|
adamc@213
|
404 dep_destruct (cfold E)
|
adamc@85
|
405 | [ |- (if ?E then _ else _) = _ ] => destruct E
|
adamc@85
|
406 end; crush).
|
adamc@85
|
407 Qed.
|
adamc@100
|
408 (* end thide *)
|
adamc@86
|
409
|
adam@405
|
410 (** With this example, we get a first taste of how to build automated proofs that adapt automatically to changes in function definitions. *)
|
adam@405
|
411
|
adamc@86
|
412
|
adam@338
|
413 (** * Dependently Typed Red-Black Trees *)
|
adamc@94
|
414
|
adam@338
|
415 (** Red-black trees are a favorite purely functional data structure with an interesting invariant. We can use dependent types to enforce that operations on red-black trees preserve the invariant. For simplicity, we specialize our red-black trees to represent sets of [nat]s. *)
|
adamc@100
|
416
|
adamc@94
|
417 Inductive color : Set := Red | Black.
|
adamc@94
|
418
|
adamc@94
|
419 Inductive rbtree : color -> nat -> Set :=
|
adamc@94
|
420 | Leaf : rbtree Black 0
|
adamc@214
|
421 | RedNode : forall n, rbtree Black n -> nat -> rbtree Black n -> rbtree Red n
|
adamc@94
|
422 | BlackNode : forall c1 c2 n, rbtree c1 n -> nat -> rbtree c2 n -> rbtree Black (S n).
|
adamc@94
|
423
|
adamc@214
|
424 (** A value of type [rbtree c d] is a red-black tree node whose root has color [c] and that has black depth [d]. The latter property means that there are no more than [d] black-colored nodes on any path from the root to a leaf. *)
|
adamc@214
|
425
|
adamc@214
|
426 (** At first, it can be unclear that this choice of type indices tracks any useful property. To convince ourselves, we will prove that every red-black tree is balanced. We will phrase our theorem in terms of a depth calculating function that ignores the extra information in the types. It will be useful to parameterize this function over a combining operation, so that we can re-use the same code to calculate the minimum or maximum height among all paths from root to leaf. *)
|
adamc@214
|
427
|
adamc@100
|
428 (* EX: Prove that every [rbtree] is balanced. *)
|
adamc@100
|
429
|
adamc@100
|
430 (* begin thide *)
|
adamc@95
|
431 Require Import Max Min.
|
adamc@95
|
432
|
adamc@95
|
433 Section depth.
|
adamc@95
|
434 Variable f : nat -> nat -> nat.
|
adamc@95
|
435
|
adamc@214
|
436 Fixpoint depth c n (t : rbtree c n) : nat :=
|
adamc@95
|
437 match t with
|
adamc@95
|
438 | Leaf => 0
|
adamc@95
|
439 | RedNode _ t1 _ t2 => S (f (depth t1) (depth t2))
|
adamc@95
|
440 | BlackNode _ _ _ t1 _ t2 => S (f (depth t1) (depth t2))
|
adamc@95
|
441 end.
|
adamc@95
|
442 End depth.
|
adamc@95
|
443
|
adam@338
|
444 (** Our proof of balanced-ness decomposes naturally into a lower bound and an upper bound. We prove the lower bound first. Unsurprisingly, a tree's black depth provides such a bound on the minimum path length. We use the richly typed procedure [min_dec] to do case analysis on whether [min X Y] equals [X] or [Y]. *)
|
adamc@214
|
445
|
adam@283
|
446 Check min_dec.
|
adam@283
|
447 (** %\vspace{-.15in}% [[
|
adam@283
|
448 min_dec
|
adam@283
|
449 : forall n m : nat, {min n m = n} + {min n m = m}
|
adam@302
|
450 ]]
|
adam@302
|
451 *)
|
adam@283
|
452
|
adamc@95
|
453 Theorem depth_min : forall c n (t : rbtree c n), depth min t >= n.
|
adamc@95
|
454 induction t; crush;
|
adamc@95
|
455 match goal with
|
adamc@95
|
456 | [ |- context[min ?X ?Y] ] => destruct (min_dec X Y)
|
adamc@95
|
457 end; crush.
|
adamc@95
|
458 Qed.
|
adamc@95
|
459
|
adamc@214
|
460 (** There is an analogous upper-bound theorem based on black depth. Unfortunately, a symmetric proof script does not suffice to establish it. *)
|
adamc@214
|
461
|
adamc@214
|
462 Theorem depth_max : forall c n (t : rbtree c n), depth max t <= 2 * n + 1.
|
adamc@214
|
463 induction t; crush;
|
adamc@214
|
464 match goal with
|
adamc@214
|
465 | [ |- context[max ?X ?Y] ] => destruct (max_dec X Y)
|
adamc@214
|
466 end; crush.
|
adamc@214
|
467
|
adamc@214
|
468 (** Two subgoals remain. One of them is: [[
|
adamc@214
|
469 n : nat
|
adamc@214
|
470 t1 : rbtree Black n
|
adamc@214
|
471 n0 : nat
|
adamc@214
|
472 t2 : rbtree Black n
|
adamc@214
|
473 IHt1 : depth max t1 <= n + (n + 0) + 1
|
adamc@214
|
474 IHt2 : depth max t2 <= n + (n + 0) + 1
|
adamc@214
|
475 e : max (depth max t1) (depth max t2) = depth max t1
|
adamc@214
|
476 ============================
|
adamc@214
|
477 S (depth max t1) <= n + (n + 0) + 1
|
adamc@214
|
478
|
adamc@214
|
479 ]]
|
adamc@214
|
480
|
adam@398
|
481 We see that [IHt1] is _almost_ the fact we need, but it is not quite strong enough. We will need to strengthen our induction hypothesis to get the proof to go through. *)
|
adamc@214
|
482
|
adamc@214
|
483 Abort.
|
adamc@214
|
484
|
adamc@214
|
485 (** In particular, we prove a lemma that provides a stronger upper bound for trees with black root nodes. We got stuck above in a case about a red root node. Since red nodes have only black children, our IH strengthening will enable us to finish the proof. *)
|
adamc@214
|
486
|
adamc@95
|
487 Lemma depth_max' : forall c n (t : rbtree c n), match c with
|
adamc@95
|
488 | Red => depth max t <= 2 * n + 1
|
adamc@95
|
489 | Black => depth max t <= 2 * n
|
adamc@95
|
490 end.
|
adamc@95
|
491 induction t; crush;
|
adamc@95
|
492 match goal with
|
adamc@95
|
493 | [ |- context[max ?X ?Y] ] => destruct (max_dec X Y)
|
adamc@100
|
494 end; crush;
|
adamc@100
|
495 repeat (match goal with
|
adamc@214
|
496 | [ H : context[match ?C with Red => _ | Black => _ end] |- _ ] =>
|
adamc@214
|
497 destruct C
|
adamc@100
|
498 end; crush).
|
adamc@95
|
499 Qed.
|
adamc@95
|
500
|
adam@338
|
501 (** The original theorem follows easily from the lemma. We use the tactic %\index{tactics!generalize}%[generalize pf], which, when [pf] proves the proposition [P], changes the goal from [Q] to [P -> Q]. This transformation is useful because it makes the truth of [P] manifest syntactically, so that automation machinery can rely on [P], even if that machinery is not smart enough to establish [P] on its own. *)
|
adamc@214
|
502
|
adamc@95
|
503 Theorem depth_max : forall c n (t : rbtree c n), depth max t <= 2 * n + 1.
|
adamc@95
|
504 intros; generalize (depth_max' t); destruct c; crush.
|
adamc@95
|
505 Qed.
|
adamc@95
|
506
|
adamc@214
|
507 (** The final balance theorem establishes that the minimum and maximum path lengths of any tree are within a factor of two of each other. *)
|
adamc@214
|
508
|
adamc@95
|
509 Theorem balanced : forall c n (t : rbtree c n), 2 * depth min t + 1 >= depth max t.
|
adamc@95
|
510 intros; generalize (depth_min t); generalize (depth_max t); crush.
|
adamc@95
|
511 Qed.
|
adamc@100
|
512 (* end thide *)
|
adamc@95
|
513
|
adamc@214
|
514 (** Now we are ready to implement an example operation on our trees, insertion. Insertion can be thought of as breaking the tree invariants locally but then rebalancing. In particular, in intermediate states we find red nodes that may have red children. The type [rtree] captures the idea of such a node, continuing to track black depth as a type index. *)
|
adamc@95
|
515
|
adamc@94
|
516 Inductive rtree : nat -> Set :=
|
adamc@94
|
517 | RedNode' : forall c1 c2 n, rbtree c1 n -> nat -> rbtree c2 n -> rtree n.
|
adamc@94
|
518
|
adam@338
|
519 (** Before starting to define [insert], we define predicates capturing when a data value is in the set represented by a normal or possibly invalid tree. *)
|
adamc@214
|
520
|
adamc@96
|
521 Section present.
|
adamc@96
|
522 Variable x : nat.
|
adamc@96
|
523
|
adamc@214
|
524 Fixpoint present c n (t : rbtree c n) : Prop :=
|
adamc@96
|
525 match t with
|
adamc@96
|
526 | Leaf => False
|
adamc@96
|
527 | RedNode _ a y b => present a \/ x = y \/ present b
|
adamc@96
|
528 | BlackNode _ _ _ a y b => present a \/ x = y \/ present b
|
adamc@96
|
529 end.
|
adamc@96
|
530
|
adamc@96
|
531 Definition rpresent n (t : rtree n) : Prop :=
|
adamc@96
|
532 match t with
|
adamc@96
|
533 | RedNode' _ _ _ a y b => present a \/ x = y \/ present b
|
adamc@96
|
534 end.
|
adamc@96
|
535 End present.
|
adamc@96
|
536
|
adam@338
|
537 (** Insertion relies on two balancing operations. It will be useful to give types to these operations using a relative of the subset types from last chapter. While subset types let us pair a value with a proof about that value, here we want to pair a value with another non-proof dependently typed value. The %\index{Gallina terms!sigT}%[sigT] type fills this role. *)
|
adamc@214
|
538
|
adamc@100
|
539 Locate "{ _ : _ & _ }".
|
adamc@214
|
540 (** [[
|
adamc@214
|
541 Notation Scope
|
adamc@214
|
542 "{ x : A & P }" := sigT (fun x : A => P)
|
adam@302
|
543 ]]
|
adam@302
|
544 *)
|
adamc@214
|
545
|
adamc@100
|
546 Print sigT.
|
adamc@214
|
547 (** [[
|
adamc@214
|
548 Inductive sigT (A : Type) (P : A -> Type) : Type :=
|
adamc@214
|
549 existT : forall x : A, P x -> sigT P
|
adam@302
|
550 ]]
|
adam@302
|
551 *)
|
adamc@214
|
552
|
adamc@214
|
553 (** It will be helpful to define a concise notation for the constructor of [sigT]. *)
|
adamc@100
|
554
|
adamc@94
|
555 Notation "{< x >}" := (existT _ _ x).
|
adamc@94
|
556
|
adamc@214
|
557 (** Each balance function is used to construct a new tree whose keys include the keys of two input trees, as well as a new key. One of the two input trees may violate the red-black alternation invariant (that is, it has an [rtree] type), while the other tree is known to be valid. Crucially, the two input trees have the same black depth.
|
adamc@214
|
558
|
adam@338
|
559 A balance operation may return a tree whose root is of either color. Thus, we use a [sigT] type to package the result tree with the color of its root. Here is the definition of the first balance operation, which applies when the possibly invalid [rtree] belongs to the left of the valid [rbtree].
|
adam@338
|
560
|
adam@425
|
561 A quick word of encouragement: After writing this code, even I do not understand the precise details of how balancing works! I consulted Chris Okasaki's paper "Red-Black Trees in a Functional Setting" %\cite{Okasaki} %and transcribed the code to use dependent types. Luckily, the details are not so important here; types alone will tell us that insertion preserves balanced-ness, and we will prove that insertion produces trees containing the right keys.*)
|
adamc@214
|
562
|
adamc@94
|
563 Definition balance1 n (a : rtree n) (data : nat) c2 :=
|
adamc@214
|
564 match a in rtree n return rbtree c2 n
|
adamc@214
|
565 -> { c : color & rbtree c (S n) } with
|
adam@380
|
566 | RedNode' _ c0 _ t1 y t2 =>
|
adam@380
|
567 match t1 in rbtree c n return rbtree c0 n -> rbtree c2 n
|
adamc@214
|
568 -> { c : color & rbtree c (S n) } with
|
adamc@214
|
569 | RedNode _ a x b => fun c d =>
|
adamc@214
|
570 {<RedNode (BlackNode a x b) y (BlackNode c data d)>}
|
adamc@94
|
571 | t1' => fun t2 =>
|
adam@380
|
572 match t2 in rbtree c n return rbtree Black n -> rbtree c2 n
|
adamc@214
|
573 -> { c : color & rbtree c (S n) } with
|
adamc@214
|
574 | RedNode _ b x c => fun a d =>
|
adamc@214
|
575 {<RedNode (BlackNode a y b) x (BlackNode c data d)>}
|
adamc@95
|
576 | b => fun a t => {<BlackNode (RedNode a y b) data t>}
|
adamc@94
|
577 end t1'
|
adamc@94
|
578 end t2
|
adamc@94
|
579 end.
|
adamc@94
|
580
|
adam@405
|
581 (** We apply a trick that I call the%\index{convoy pattern}% _convoy pattern_. Recall that [match] annotations only make it possible to describe a dependence of a [match] _result type_ on the discriminee. There is no automatic refinement of the types of free variables. However, it is possible to effect such a refinement by finding a way to encode free variable type dependencies in the [match] result type, so that a [return] clause can express the connection.
|
adamc@214
|
582
|
adam@425
|
583 In particular, we can extend the [match] to return _functions over the free variables whose types we want to refine_. In the case of [balance1], we only find ourselves wanting to refine the type of one tree variable at a time. We match on one subtree of a node, and we want the type of the other subtree to be refined based on what we learn. We indicate this with a [return] clause starting like [rbtree _ n -> ...], where [n] is bound in an [in] pattern. Such a [match] expression is applied immediately to the "old version" of the variable to be refined, and the type checker is happy.
|
adamc@214
|
584
|
adam@338
|
585 Here is the symmetric function [balance2], for cases where the possibly invalid tree appears on the right rather than on the left. *)
|
adamc@214
|
586
|
adamc@94
|
587 Definition balance2 n (a : rtree n) (data : nat) c2 :=
|
adamc@94
|
588 match a in rtree n return rbtree c2 n -> { c : color & rbtree c (S n) } with
|
adam@380
|
589 | RedNode' _ c0 _ t1 z t2 =>
|
adam@380
|
590 match t1 in rbtree c n return rbtree c0 n -> rbtree c2 n
|
adamc@214
|
591 -> { c : color & rbtree c (S n) } with
|
adamc@214
|
592 | RedNode _ b y c => fun d a =>
|
adamc@214
|
593 {<RedNode (BlackNode a data b) y (BlackNode c z d)>}
|
adamc@94
|
594 | t1' => fun t2 =>
|
adam@380
|
595 match t2 in rbtree c n return rbtree Black n -> rbtree c2 n
|
adamc@214
|
596 -> { c : color & rbtree c (S n) } with
|
adamc@214
|
597 | RedNode _ c z' d => fun b a =>
|
adamc@214
|
598 {<RedNode (BlackNode a data b) z (BlackNode c z' d)>}
|
adamc@95
|
599 | b => fun a t => {<BlackNode t data (RedNode a z b)>}
|
adamc@94
|
600 end t1'
|
adamc@94
|
601 end t2
|
adamc@94
|
602 end.
|
adamc@94
|
603
|
adamc@214
|
604 (** Now we are almost ready to get down to the business of writing an [insert] function. First, we enter a section that declares a variable [x], for the key we want to insert. *)
|
adamc@214
|
605
|
adamc@94
|
606 Section insert.
|
adamc@94
|
607 Variable x : nat.
|
adamc@94
|
608
|
adamc@214
|
609 (** Most of the work of insertion is done by a helper function [ins], whose return types are expressed using a type-level function [insResult]. *)
|
adamc@214
|
610
|
adamc@94
|
611 Definition insResult c n :=
|
adamc@94
|
612 match c with
|
adamc@94
|
613 | Red => rtree n
|
adamc@94
|
614 | Black => { c' : color & rbtree c' n }
|
adamc@94
|
615 end.
|
adamc@94
|
616
|
adam@338
|
617 (** That is, inserting into a tree with root color [c] and black depth [n], the variety of tree we get out depends on [c]. If we started with a red root, then we get back a possibly invalid tree of depth [n]. If we started with a black root, we get back a valid tree of depth [n] with a root node of an arbitrary color.
|
adamc@214
|
618
|
adamc@214
|
619 Here is the definition of [ins]. Again, we do not want to dwell on the functional details. *)
|
adamc@214
|
620
|
adamc@214
|
621 Fixpoint ins c n (t : rbtree c n) : insResult c n :=
|
adamc@214
|
622 match t with
|
adamc@94
|
623 | Leaf => {< RedNode Leaf x Leaf >}
|
adamc@94
|
624 | RedNode _ a y b =>
|
adamc@94
|
625 if le_lt_dec x y
|
adamc@94
|
626 then RedNode' (projT2 (ins a)) y b
|
adamc@94
|
627 else RedNode' a y (projT2 (ins b))
|
adamc@94
|
628 | BlackNode c1 c2 _ a y b =>
|
adamc@94
|
629 if le_lt_dec x y
|
adamc@94
|
630 then
|
adamc@94
|
631 match c1 return insResult c1 _ -> _ with
|
adamc@94
|
632 | Red => fun ins_a => balance1 ins_a y b
|
adamc@94
|
633 | _ => fun ins_a => {< BlackNode (projT2 ins_a) y b >}
|
adamc@94
|
634 end (ins a)
|
adamc@94
|
635 else
|
adamc@94
|
636 match c2 return insResult c2 _ -> _ with
|
adamc@94
|
637 | Red => fun ins_b => balance2 ins_b y a
|
adamc@94
|
638 | _ => fun ins_b => {< BlackNode a y (projT2 ins_b) >}
|
adamc@94
|
639 end (ins b)
|
adamc@94
|
640 end.
|
adamc@94
|
641
|
adam@398
|
642 (** The one new trick is a variation of the convoy pattern. In each of the last two pattern matches, we want to take advantage of the typing connection between the trees [a] and [b]. We might naively apply the convoy pattern directly on [a] in the first [match] and on [b] in the second. This satisfies the type checker per se, but it does not satisfy the termination checker. Inside each [match], we would be calling [ins] recursively on a locally bound variable. The termination checker is not smart enough to trace the dataflow into that variable, so the checker does not know that this recursive argument is smaller than the original argument. We make this fact clearer by applying the convoy pattern on _the result of a recursive call_, rather than just on that call's argument.
|
adamc@214
|
643
|
adamc@214
|
644 Finally, we are in the home stretch of our effort to define [insert]. We just need a few more definitions of non-recursive functions. First, we need to give the final characterization of [insert]'s return type. Inserting into a red-rooted tree gives a black-rooted tree where black depth has increased, and inserting into a black-rooted tree gives a tree where black depth has stayed the same and where the root is an arbitrary color. *)
|
adamc@214
|
645
|
adamc@94
|
646 Definition insertResult c n :=
|
adamc@94
|
647 match c with
|
adamc@94
|
648 | Red => rbtree Black (S n)
|
adamc@94
|
649 | Black => { c' : color & rbtree c' n }
|
adamc@94
|
650 end.
|
adamc@94
|
651
|
adamc@214
|
652 (** A simple clean-up procedure translates [insResult]s into [insertResult]s. *)
|
adamc@214
|
653
|
adamc@97
|
654 Definition makeRbtree c n : insResult c n -> insertResult c n :=
|
adamc@214
|
655 match c with
|
adamc@94
|
656 | Red => fun r =>
|
adamc@214
|
657 match r with
|
adamc@94
|
658 | RedNode' _ _ _ a x b => BlackNode a x b
|
adamc@94
|
659 end
|
adamc@94
|
660 | Black => fun r => r
|
adamc@94
|
661 end.
|
adamc@94
|
662
|
adamc@214
|
663 (** We modify Coq's default choice of implicit arguments for [makeRbtree], so that we do not need to specify the [c] and [n] arguments explicitly in later calls. *)
|
adamc@214
|
664
|
adamc@97
|
665 Implicit Arguments makeRbtree [c n].
|
adamc@94
|
666
|
adamc@214
|
667 (** Finally, we define [insert] as a simple composition of [ins] and [makeRbtree]. *)
|
adamc@214
|
668
|
adamc@94
|
669 Definition insert c n (t : rbtree c n) : insertResult c n :=
|
adamc@97
|
670 makeRbtree (ins t).
|
adamc@94
|
671
|
adamc@214
|
672 (** As we noted earlier, the type of [insert] guarantees that it outputs balanced trees whose depths have not increased too much. We also want to know that [insert] operates correctly on trees interpreted as finite sets, so we finish this section with a proof of that fact. *)
|
adamc@214
|
673
|
adamc@95
|
674 Section present.
|
adamc@95
|
675 Variable z : nat.
|
adamc@95
|
676
|
adamc@214
|
677 (** The variable [z] stands for an arbitrary key. We will reason about [z]'s presence in particular trees. As usual, outside the section the theorems we prove will quantify over all possible keys, giving us the facts we wanted.
|
adamc@214
|
678
|
adam@367
|
679 We start by proving the correctness of the balance operations. It is useful to define a custom tactic [present_balance] that encapsulates the reasoning common to the two proofs. We use the keyword %\index{Vernacular commands!Ltac}%[Ltac] to assign a name to a proof script. This particular script just iterates between [crush] and identification of a tree that is being pattern-matched on and should be destructed. *)
|
adamc@214
|
680
|
adamc@98
|
681 Ltac present_balance :=
|
adamc@98
|
682 crush;
|
adamc@98
|
683 repeat (match goal with
|
adam@425
|
684 | [ _ : context[match ?T with Leaf => _ | _ => _ end] |- _ ] =>
|
adam@425
|
685 dep_destruct T
|
adam@405
|
686 | [ |- context[match ?T with Leaf => _ | _ => _ end] ] => dep_destruct T
|
adamc@98
|
687 end; crush).
|
adamc@98
|
688
|
adamc@214
|
689 (** The balance correctness theorems are simple first-order logic equivalences, where we use the function [projT2] to project the payload of a [sigT] value. *)
|
adamc@214
|
690
|
adam@294
|
691 Lemma present_balance1 : forall n (a : rtree n) (y : nat) c2 (b : rbtree c2 n),
|
adamc@95
|
692 present z (projT2 (balance1 a y b))
|
adamc@95
|
693 <-> rpresent z a \/ z = y \/ present z b.
|
adamc@98
|
694 destruct a; present_balance.
|
adamc@95
|
695 Qed.
|
adamc@95
|
696
|
adamc@213
|
697 Lemma present_balance2 : forall n (a : rtree n) (y : nat) c2 (b : rbtree c2 n),
|
adamc@95
|
698 present z (projT2 (balance2 a y b))
|
adamc@95
|
699 <-> rpresent z a \/ z = y \/ present z b.
|
adamc@98
|
700 destruct a; present_balance.
|
adamc@95
|
701 Qed.
|
adamc@95
|
702
|
adamc@214
|
703 (** To state the theorem for [ins], it is useful to define a new type-level function, since [ins] returns different result types based on the type indices passed to it. Recall that [x] is the section variable standing for the key we are inserting. *)
|
adamc@214
|
704
|
adamc@95
|
705 Definition present_insResult c n :=
|
adamc@95
|
706 match c return (rbtree c n -> insResult c n -> Prop) with
|
adamc@95
|
707 | Red => fun t r => rpresent z r <-> z = x \/ present z t
|
adamc@95
|
708 | Black => fun t r => present z (projT2 r) <-> z = x \/ present z t
|
adamc@95
|
709 end.
|
adamc@95
|
710
|
adamc@214
|
711 (** Now the statement and proof of the [ins] correctness theorem are straightforward, if verbose. We proceed by induction on the structure of a tree, followed by finding case analysis opportunities on expressions we see being analyzed in [if] or [match] expressions. After that, we pattern-match to find opportunities to use the theorems we proved about balancing. Finally, we identify two variables that are asserted by some hypothesis to be equal, and we use that hypothesis to replace one variable with the other everywhere. *)
|
adamc@214
|
712
|
adamc@95
|
713 Theorem present_ins : forall c n (t : rbtree c n),
|
adamc@95
|
714 present_insResult t (ins t).
|
adamc@95
|
715 induction t; crush;
|
adamc@95
|
716 repeat (match goal with
|
adam@338
|
717 | [ _ : context[if ?E then _ else _] |- _ ] => destruct E
|
adamc@95
|
718 | [ |- context[if ?E then _ else _] ] => destruct E
|
adam@338
|
719 | [ _ : context[match ?C with Red => _ | Black => _ end]
|
adamc@214
|
720 |- _ ] => destruct C
|
adamc@95
|
721 end; crush);
|
adamc@95
|
722 try match goal with
|
adam@338
|
723 | [ _ : context[balance1 ?A ?B ?C] |- _ ] =>
|
adamc@95
|
724 generalize (present_balance1 A B C)
|
adamc@95
|
725 end;
|
adamc@95
|
726 try match goal with
|
adam@338
|
727 | [ _ : context[balance2 ?A ?B ?C] |- _ ] =>
|
adamc@95
|
728 generalize (present_balance2 A B C)
|
adamc@95
|
729 end;
|
adamc@95
|
730 try match goal with
|
adamc@95
|
731 | [ |- context[balance1 ?A ?B ?C] ] =>
|
adamc@95
|
732 generalize (present_balance1 A B C)
|
adamc@95
|
733 end;
|
adamc@95
|
734 try match goal with
|
adamc@95
|
735 | [ |- context[balance2 ?A ?B ?C] ] =>
|
adamc@95
|
736 generalize (present_balance2 A B C)
|
adamc@95
|
737 end;
|
adamc@214
|
738 crush;
|
adamc@95
|
739 match goal with
|
adamc@95
|
740 | [ z : nat, x : nat |- _ ] =>
|
adamc@95
|
741 match goal with
|
adamc@95
|
742 | [ H : z = x |- _ ] => rewrite H in *; clear H
|
adamc@95
|
743 end
|
adamc@95
|
744 end;
|
adamc@95
|
745 tauto.
|
adamc@95
|
746 Qed.
|
adamc@95
|
747
|
adamc@214
|
748 (** The hard work is done. The most readable way to state correctness of [insert] involves splitting the property into two color-specific theorems. We write a tactic to encapsulate the reasoning steps that work to establish both facts. *)
|
adamc@214
|
749
|
adamc@213
|
750 Ltac present_insert :=
|
adamc@213
|
751 unfold insert; intros n t; inversion t;
|
adamc@97
|
752 generalize (present_ins t); simpl;
|
adamc@97
|
753 dep_destruct (ins t); tauto.
|
adamc@97
|
754
|
adamc@95
|
755 Theorem present_insert_Red : forall n (t : rbtree Red n),
|
adamc@95
|
756 present z (insert t)
|
adamc@95
|
757 <-> (z = x \/ present z t).
|
adamc@213
|
758 present_insert.
|
adamc@95
|
759 Qed.
|
adamc@95
|
760
|
adamc@95
|
761 Theorem present_insert_Black : forall n (t : rbtree Black n),
|
adamc@95
|
762 present z (projT2 (insert t))
|
adamc@95
|
763 <-> (z = x \/ present z t).
|
adamc@213
|
764 present_insert.
|
adamc@95
|
765 Qed.
|
adamc@95
|
766 End present.
|
adamc@94
|
767 End insert.
|
adamc@94
|
768
|
adam@425
|
769 (** We can generate executable OCaml code with the command %\index{Vernacular commands!Recursive Extraction}%[Recursive Extraction insert], which also automatically outputs the OCaml versions of all of [insert]'s dependencies. In our previous extractions, we wound up with clean OCaml code. Here, we find uses of %\index{Obj.magic}%<<Obj.magic>>, OCaml's unsafe cast operator for tweaking the apparent type of an expression in an arbitrary way. Casts appear for this example because the return type of [insert] depends on the _value_ of the function's argument, a pattern which OCaml cannot handle. Since Coq's type system is much more expressive than OCaml's, such casts are unavoidable in general. Since the OCaml type-checker is no longer checking full safety of programs, we must rely on Coq's extractor to use casts only in provably safe ways. *)
|
adam@338
|
770
|
adam@338
|
771 (* begin hide *)
|
adam@338
|
772 Recursive Extraction insert.
|
adam@338
|
773 (* end hide *)
|
adam@283
|
774
|
adamc@94
|
775
|
adamc@86
|
776 (** * A Certified Regular Expression Matcher *)
|
adamc@86
|
777
|
adamc@93
|
778 (** Another interesting example is regular expressions with dependent types that express which predicates over strings particular regexps implement. We can then assign a dependent type to a regular expression matching function, guaranteeing that it always decides the string property that we expect it to decide.
|
adamc@93
|
779
|
adam@425
|
780 Before defining the syntax of expressions, it is helpful to define an inductive type capturing the meaning of the Kleene star. That is, a string [s] matches regular expression [star e] if and only if [s] can be decomposed into a sequence of substrings that all match [e]. We use Coq's string support, which comes through a combination of the [String] library and some parsing notations built into Coq. Operators like [++] and functions like [length] that we know from lists are defined again for strings. Notation scopes help us control which versions we want to use in particular contexts.%\index{Vernacular commands!Open Scope}% *)
|
adamc@93
|
781
|
adamc@86
|
782 Require Import Ascii String.
|
adamc@86
|
783 Open Scope string_scope.
|
adamc@86
|
784
|
adamc@91
|
785 Section star.
|
adamc@91
|
786 Variable P : string -> Prop.
|
adamc@91
|
787
|
adamc@91
|
788 Inductive star : string -> Prop :=
|
adamc@91
|
789 | Empty : star ""
|
adamc@91
|
790 | Iter : forall s1 s2,
|
adamc@91
|
791 P s1
|
adamc@91
|
792 -> star s2
|
adamc@91
|
793 -> star (s1 ++ s2).
|
adamc@91
|
794 End star.
|
adamc@91
|
795
|
adam@283
|
796 (** Now we can make our first attempt at defining a [regexp] type that is indexed by predicates on strings. Here is a reasonable-looking definition that is restricted to constant characters and concatenation. We use the constructor [String], which is the analogue of list cons for the type [string], where [""] is like list nil.
|
adamc@93
|
797 [[
|
adamc@93
|
798 Inductive regexp : (string -> Prop) -> Set :=
|
adamc@93
|
799 | Char : forall ch : ascii,
|
adamc@93
|
800 regexp (fun s => s = String ch "")
|
adamc@93
|
801 | Concat : forall (P1 P2 : string -> Prop) (r1 : regexp P1) (r2 : regexp P2),
|
adamc@93
|
802 regexp (fun s => exists s1, exists s2, s = s1 ++ s2 /\ P1 s1 /\ P2 s2).
|
adamc@93
|
803 ]]
|
adamc@93
|
804
|
adam@338
|
805 <<
|
adam@338
|
806 User error: Large non-propositional inductive types must be in Type
|
adam@338
|
807 >>
|
adam@338
|
808
|
adam@338
|
809 What is a %\index{large inductive types}%large inductive type? In Coq, it is an inductive type that has a constructor which quantifies over some type of type [Type]. We have not worked with [Type] very much to this point. Every term of CIC has a type, including [Set] and [Prop], which are assigned type [Type]. The type [string -> Prop] from the failed definition also has type [Type].
|
adamc@93
|
810
|
adamc@93
|
811 It turns out that allowing large inductive types in [Set] leads to contradictions when combined with certain kinds of classical logic reasoning. Thus, by default, such types are ruled out. There is a simple fix for our [regexp] definition, which is to place our new type in [Type]. While fixing the problem, we also expand the list of constructors to cover the remaining regular expression operators. *)
|
adamc@93
|
812
|
adamc@89
|
813 Inductive regexp : (string -> Prop) -> Type :=
|
adamc@86
|
814 | Char : forall ch : ascii,
|
adamc@86
|
815 regexp (fun s => s = String ch "")
|
adamc@86
|
816 | Concat : forall P1 P2 (r1 : regexp P1) (r2 : regexp P2),
|
adamc@87
|
817 regexp (fun s => exists s1, exists s2, s = s1 ++ s2 /\ P1 s1 /\ P2 s2)
|
adamc@87
|
818 | Or : forall P1 P2 (r1 : regexp P1) (r2 : regexp P2),
|
adamc@91
|
819 regexp (fun s => P1 s \/ P2 s)
|
adamc@91
|
820 | Star : forall P (r : regexp P),
|
adamc@91
|
821 regexp (star P).
|
adamc@86
|
822
|
adam@425
|
823 (** Many theorems about strings are useful for implementing a certified regexp matcher, and few of them are in the [String] library. The book source includes statements, proofs, and hint commands for a handful of such omitted theorems. Since they are orthogonal to our use of dependent types, we hide them in the rendered versions of this book. *)
|
adamc@93
|
824
|
adamc@93
|
825 (* begin hide *)
|
adamc@86
|
826 Open Scope specif_scope.
|
adamc@86
|
827
|
adamc@86
|
828 Lemma length_emp : length "" <= 0.
|
adamc@86
|
829 crush.
|
adamc@86
|
830 Qed.
|
adamc@86
|
831
|
adamc@86
|
832 Lemma append_emp : forall s, s = "" ++ s.
|
adamc@86
|
833 crush.
|
adamc@86
|
834 Qed.
|
adamc@86
|
835
|
adamc@86
|
836 Ltac substring :=
|
adamc@86
|
837 crush;
|
adamc@86
|
838 repeat match goal with
|
adamc@86
|
839 | [ |- context[match ?N with O => _ | S _ => _ end] ] => destruct N; crush
|
adamc@86
|
840 end.
|
adamc@86
|
841
|
adamc@86
|
842 Lemma substring_le : forall s n m,
|
adamc@86
|
843 length (substring n m s) <= m.
|
adamc@86
|
844 induction s; substring.
|
adamc@86
|
845 Qed.
|
adamc@86
|
846
|
adamc@86
|
847 Lemma substring_all : forall s,
|
adamc@86
|
848 substring 0 (length s) s = s.
|
adamc@86
|
849 induction s; substring.
|
adamc@86
|
850 Qed.
|
adamc@86
|
851
|
adamc@86
|
852 Lemma substring_none : forall s n,
|
adamc@93
|
853 substring n 0 s = "".
|
adamc@86
|
854 induction s; substring.
|
adamc@86
|
855 Qed.
|
adamc@86
|
856
|
adam@375
|
857 Hint Rewrite substring_all substring_none.
|
adamc@86
|
858
|
adamc@86
|
859 Lemma substring_split : forall s m,
|
adamc@86
|
860 substring 0 m s ++ substring m (length s - m) s = s.
|
adamc@86
|
861 induction s; substring.
|
adamc@86
|
862 Qed.
|
adamc@86
|
863
|
adamc@86
|
864 Lemma length_app1 : forall s1 s2,
|
adamc@86
|
865 length s1 <= length (s1 ++ s2).
|
adamc@86
|
866 induction s1; crush.
|
adamc@86
|
867 Qed.
|
adamc@86
|
868
|
adamc@86
|
869 Hint Resolve length_emp append_emp substring_le substring_split length_app1.
|
adamc@86
|
870
|
adamc@86
|
871 Lemma substring_app_fst : forall s2 s1 n,
|
adamc@86
|
872 length s1 = n
|
adamc@86
|
873 -> substring 0 n (s1 ++ s2) = s1.
|
adamc@86
|
874 induction s1; crush.
|
adamc@86
|
875 Qed.
|
adamc@86
|
876
|
adamc@86
|
877 Lemma substring_app_snd : forall s2 s1 n,
|
adamc@86
|
878 length s1 = n
|
adamc@86
|
879 -> substring n (length (s1 ++ s2) - n) (s1 ++ s2) = s2.
|
adam@375
|
880 Hint Rewrite <- minus_n_O.
|
adamc@86
|
881
|
adamc@86
|
882 induction s1; crush.
|
adamc@86
|
883 Qed.
|
adamc@86
|
884
|
adam@375
|
885 Hint Rewrite substring_app_fst substring_app_snd using solve [trivial].
|
adamc@93
|
886 (* end hide *)
|
adamc@93
|
887
|
adamc@93
|
888 (** A few auxiliary functions help us in our final matcher definition. The function [split] will be used to implement the regexp concatenation case. *)
|
adamc@86
|
889
|
adamc@86
|
890 Section split.
|
adamc@86
|
891 Variables P1 P2 : string -> Prop.
|
adamc@214
|
892 Variable P1_dec : forall s, {P1 s} + {~ P1 s}.
|
adamc@214
|
893 Variable P2_dec : forall s, {P2 s} + {~ P2 s}.
|
adamc@93
|
894 (** We require a choice of two arbitrary string predicates and functions for deciding them. *)
|
adamc@86
|
895
|
adamc@86
|
896 Variable s : string.
|
adamc@93
|
897 (** Our computation will take place relative to a single fixed string, so it is easiest to make it a [Variable], rather than an explicit argument to our functions. *)
|
adamc@93
|
898
|
adam@338
|
899 (** The function [split'] is the workhorse behind [split]. It searches through the possible ways of splitting [s] into two pieces, checking the two predicates against each such pair. The execution of [split'] progresses right-to-left, from splitting all of [s] into the first piece to splitting all of [s] into the second piece. It takes an extra argument, [n], which specifies how far along we are in this search process. *)
|
adamc@86
|
900
|
adam@297
|
901 Definition split' : forall n : nat, n <= length s
|
adamc@86
|
902 -> {exists s1, exists s2, length s1 <= n /\ s1 ++ s2 = s /\ P1 s1 /\ P2 s2}
|
adamc@214
|
903 + {forall s1 s2, length s1 <= n -> s1 ++ s2 = s -> ~ P1 s1 \/ ~ P2 s2}.
|
adamc@86
|
904 refine (fix F (n : nat) : n <= length s
|
adamc@86
|
905 -> {exists s1, exists s2, length s1 <= n /\ s1 ++ s2 = s /\ P1 s1 /\ P2 s2}
|
adamc@214
|
906 + {forall s1 s2, length s1 <= n -> s1 ++ s2 = s -> ~ P1 s1 \/ ~ P2 s2} :=
|
adamc@214
|
907 match n with
|
adamc@86
|
908 | O => fun _ => Reduce (P1_dec "" && P2_dec s)
|
adamc@93
|
909 | S n' => fun _ => (P1_dec (substring 0 (S n') s)
|
adamc@93
|
910 && P2_dec (substring (S n') (length s - S n') s))
|
adamc@86
|
911 || F n' _
|
adamc@86
|
912 end); clear F; crush; eauto 7;
|
adamc@86
|
913 match goal with
|
adamc@86
|
914 | [ _ : length ?S <= 0 |- _ ] => destruct S
|
adam@338
|
915 | [ _ : length ?S' <= S ?N |- _ ] => destruct (eq_nat_dec (length S') (S N))
|
adamc@86
|
916 end; crush.
|
adamc@86
|
917 Defined.
|
adamc@86
|
918
|
adam@338
|
919 (** There is one subtle point in the [split'] code that is worth mentioning. The main body of the function is a [match] on [n]. In the case where [n] is known to be [S n'], we write [S n'] in several places where we might be tempted to write [n]. However, without further work to craft proper [match] annotations, the type-checker does not use the equality between [n] and [S n']. Thus, it is common to see patterns repeated in [match] case bodies in dependently typed Coq code. We can at least use a [let] expression to avoid copying the pattern more than once, replacing the first case body with:
|
adamc@93
|
920 [[
|
adamc@93
|
921 | S n' => fun _ => let n := S n' in
|
adamc@93
|
922 (P1_dec (substring 0 n s)
|
adamc@93
|
923 && P2_dec (substring n (length s - n) s))
|
adamc@93
|
924 || F n' _
|
adamc@214
|
925
|
adamc@93
|
926 ]]
|
adamc@93
|
927
|
adam@338
|
928 The [split] function itself is trivial to implement in terms of [split']. We just ask [split'] to begin its search with [n = length s]. *)
|
adamc@93
|
929
|
adamc@86
|
930 Definition split : {exists s1, exists s2, s = s1 ++ s2 /\ P1 s1 /\ P2 s2}
|
adamc@214
|
931 + {forall s1 s2, s = s1 ++ s2 -> ~ P1 s1 \/ ~ P2 s2}.
|
adamc@86
|
932 refine (Reduce (split' (n := length s) _)); crush; eauto.
|
adamc@86
|
933 Defined.
|
adamc@86
|
934 End split.
|
adamc@86
|
935
|
adamc@86
|
936 Implicit Arguments split [P1 P2].
|
adamc@86
|
937
|
adamc@93
|
938 (* begin hide *)
|
adamc@91
|
939 Lemma app_empty_end : forall s, s ++ "" = s.
|
adamc@91
|
940 induction s; crush.
|
adamc@91
|
941 Qed.
|
adamc@91
|
942
|
adam@375
|
943 Hint Rewrite app_empty_end.
|
adamc@91
|
944
|
adamc@91
|
945 Lemma substring_self : forall s n,
|
adamc@91
|
946 n <= 0
|
adamc@91
|
947 -> substring n (length s - n) s = s.
|
adamc@91
|
948 induction s; substring.
|
adamc@91
|
949 Qed.
|
adamc@91
|
950
|
adamc@91
|
951 Lemma substring_empty : forall s n m,
|
adamc@91
|
952 m <= 0
|
adamc@91
|
953 -> substring n m s = "".
|
adamc@91
|
954 induction s; substring.
|
adamc@91
|
955 Qed.
|
adamc@91
|
956
|
adam@375
|
957 Hint Rewrite substring_self substring_empty using omega.
|
adamc@91
|
958
|
adamc@91
|
959 Lemma substring_split' : forall s n m,
|
adamc@91
|
960 substring n m s ++ substring (n + m) (length s - (n + m)) s
|
adamc@91
|
961 = substring n (length s - n) s.
|
adam@375
|
962 Hint Rewrite substring_split.
|
adamc@91
|
963
|
adamc@91
|
964 induction s; substring.
|
adamc@91
|
965 Qed.
|
adamc@91
|
966
|
adamc@91
|
967 Lemma substring_stack : forall s n2 m1 m2,
|
adamc@91
|
968 m1 <= m2
|
adamc@91
|
969 -> substring 0 m1 (substring n2 m2 s)
|
adamc@91
|
970 = substring n2 m1 s.
|
adamc@91
|
971 induction s; substring.
|
adamc@91
|
972 Qed.
|
adamc@91
|
973
|
adamc@91
|
974 Ltac substring' :=
|
adamc@91
|
975 crush;
|
adamc@91
|
976 repeat match goal with
|
adamc@91
|
977 | [ |- context[match ?N with O => _ | S _ => _ end] ] => case_eq N; crush
|
adamc@91
|
978 end.
|
adamc@91
|
979
|
adamc@91
|
980 Lemma substring_stack' : forall s n1 n2 m1 m2,
|
adamc@91
|
981 n1 + m1 <= m2
|
adamc@91
|
982 -> substring n1 m1 (substring n2 m2 s)
|
adamc@91
|
983 = substring (n1 + n2) m1 s.
|
adamc@91
|
984 induction s; substring';
|
adamc@91
|
985 match goal with
|
adamc@91
|
986 | [ |- substring ?N1 _ _ = substring ?N2 _ _ ] =>
|
adamc@91
|
987 replace N1 with N2; crush
|
adamc@91
|
988 end.
|
adamc@91
|
989 Qed.
|
adamc@91
|
990
|
adamc@91
|
991 Lemma substring_suffix : forall s n,
|
adamc@91
|
992 n <= length s
|
adamc@91
|
993 -> length (substring n (length s - n) s) = length s - n.
|
adamc@91
|
994 induction s; substring.
|
adamc@91
|
995 Qed.
|
adamc@91
|
996
|
adamc@91
|
997 Lemma substring_suffix_emp' : forall s n m,
|
adamc@91
|
998 substring n (S m) s = ""
|
adamc@91
|
999 -> n >= length s.
|
adamc@91
|
1000 induction s; crush;
|
adamc@91
|
1001 match goal with
|
adamc@91
|
1002 | [ |- ?N >= _ ] => destruct N; crush
|
adamc@91
|
1003 end;
|
adamc@91
|
1004 match goal with
|
adamc@91
|
1005 [ |- S ?N >= S ?E ] => assert (N >= E); [ eauto | omega ]
|
adamc@91
|
1006 end.
|
adamc@91
|
1007 Qed.
|
adamc@91
|
1008
|
adamc@91
|
1009 Lemma substring_suffix_emp : forall s n m,
|
adamc@92
|
1010 substring n m s = ""
|
adamc@92
|
1011 -> m > 0
|
adamc@91
|
1012 -> n >= length s.
|
adam@335
|
1013 destruct m as [ | m]; [crush | intros; apply substring_suffix_emp' with m; assumption].
|
adamc@91
|
1014 Qed.
|
adamc@91
|
1015
|
adamc@91
|
1016 Hint Rewrite substring_stack substring_stack' substring_suffix
|
adam@375
|
1017 using omega.
|
adamc@91
|
1018
|
adamc@91
|
1019 Lemma minus_minus : forall n m1 m2,
|
adamc@91
|
1020 m1 + m2 <= n
|
adamc@91
|
1021 -> n - m1 - m2 = n - (m1 + m2).
|
adamc@91
|
1022 intros; omega.
|
adamc@91
|
1023 Qed.
|
adamc@91
|
1024
|
adamc@91
|
1025 Lemma plus_n_Sm' : forall n m : nat, S (n + m) = m + S n.
|
adamc@91
|
1026 intros; omega.
|
adamc@91
|
1027 Qed.
|
adamc@91
|
1028
|
adam@375
|
1029 Hint Rewrite minus_minus using omega.
|
adamc@93
|
1030 (* end hide *)
|
adamc@93
|
1031
|
adamc@93
|
1032 (** One more helper function will come in handy: [dec_star], for implementing another linear search through ways of splitting a string, this time for implementing the Kleene star. *)
|
adamc@91
|
1033
|
adamc@91
|
1034 Section dec_star.
|
adamc@91
|
1035 Variable P : string -> Prop.
|
adamc@214
|
1036 Variable P_dec : forall s, {P s} + {~ P s}.
|
adamc@91
|
1037
|
adam@338
|
1038 (** Some new lemmas and hints about the [star] type family are useful. We omit them here; they are included in the book source at this point. *)
|
adamc@93
|
1039
|
adamc@93
|
1040 (* begin hide *)
|
adamc@91
|
1041 Hint Constructors star.
|
adamc@91
|
1042
|
adamc@91
|
1043 Lemma star_empty : forall s,
|
adamc@91
|
1044 length s = 0
|
adamc@91
|
1045 -> star P s.
|
adamc@91
|
1046 destruct s; crush.
|
adamc@91
|
1047 Qed.
|
adamc@91
|
1048
|
adamc@91
|
1049 Lemma star_singleton : forall s, P s -> star P s.
|
adamc@91
|
1050 intros; rewrite <- (app_empty_end s); auto.
|
adamc@91
|
1051 Qed.
|
adamc@91
|
1052
|
adamc@91
|
1053 Lemma star_app : forall s n m,
|
adamc@91
|
1054 P (substring n m s)
|
adamc@91
|
1055 -> star P (substring (n + m) (length s - (n + m)) s)
|
adamc@91
|
1056 -> star P (substring n (length s - n) s).
|
adamc@91
|
1057 induction n; substring;
|
adamc@91
|
1058 match goal with
|
adamc@91
|
1059 | [ H : P (substring ?N ?M ?S) |- _ ] =>
|
adamc@91
|
1060 solve [ rewrite <- (substring_split S M); auto
|
adamc@91
|
1061 | rewrite <- (substring_split' S N M); auto ]
|
adamc@91
|
1062 end.
|
adamc@91
|
1063 Qed.
|
adamc@91
|
1064
|
adamc@91
|
1065 Hint Resolve star_empty star_singleton star_app.
|
adamc@91
|
1066
|
adamc@91
|
1067 Variable s : string.
|
adamc@91
|
1068
|
adamc@91
|
1069 Lemma star_inv : forall s,
|
adamc@91
|
1070 star P s
|
adamc@91
|
1071 -> s = ""
|
adamc@91
|
1072 \/ exists i, i < length s
|
adamc@91
|
1073 /\ P (substring 0 (S i) s)
|
adamc@91
|
1074 /\ star P (substring (S i) (length s - S i) s).
|
adamc@91
|
1075 Hint Extern 1 (exists i : nat, _) =>
|
adamc@91
|
1076 match goal with
|
adamc@91
|
1077 | [ H : P (String _ ?S) |- _ ] => exists (length S); crush
|
adamc@91
|
1078 end.
|
adamc@91
|
1079
|
adamc@91
|
1080 induction 1; [
|
adamc@91
|
1081 crush
|
adamc@91
|
1082 | match goal with
|
adamc@91
|
1083 | [ _ : P ?S |- _ ] => destruct S; crush
|
adamc@91
|
1084 end
|
adamc@91
|
1085 ].
|
adamc@91
|
1086 Qed.
|
adamc@91
|
1087
|
adamc@91
|
1088 Lemma star_substring_inv : forall n,
|
adamc@91
|
1089 n <= length s
|
adamc@91
|
1090 -> star P (substring n (length s - n) s)
|
adamc@91
|
1091 -> substring n (length s - n) s = ""
|
adamc@91
|
1092 \/ exists l, l < length s - n
|
adamc@91
|
1093 /\ P (substring n (S l) s)
|
adamc@91
|
1094 /\ star P (substring (n + S l) (length s - (n + S l)) s).
|
adam@375
|
1095 Hint Rewrite plus_n_Sm'.
|
adamc@91
|
1096
|
adamc@91
|
1097 intros;
|
adamc@91
|
1098 match goal with
|
adamc@91
|
1099 | [ H : star _ _ |- _ ] => generalize (star_inv H); do 3 crush; eauto
|
adamc@91
|
1100 end.
|
adamc@91
|
1101 Qed.
|
adamc@93
|
1102 (* end hide *)
|
adamc@93
|
1103
|
adamc@93
|
1104 (** The function [dec_star''] implements a single iteration of the star. That is, it tries to find a string prefix matching [P], and it calls a parameter function on the remainder of the string. *)
|
adamc@91
|
1105
|
adamc@91
|
1106 Section dec_star''.
|
adamc@91
|
1107 Variable n : nat.
|
adamc@93
|
1108 (** [n] is the length of the prefix of [s] that we have already processed. *)
|
adamc@91
|
1109
|
adamc@91
|
1110 Variable P' : string -> Prop.
|
adamc@91
|
1111 Variable P'_dec : forall n' : nat, n' > n
|
adamc@91
|
1112 -> {P' (substring n' (length s - n') s)}
|
adamc@214
|
1113 + {~ P' (substring n' (length s - n') s)}.
|
adamc@93
|
1114 (** When we use [dec_star''], we will instantiate [P'_dec] with a function for continuing the search for more instances of [P] in [s]. *)
|
adamc@93
|
1115
|
adamc@93
|
1116 (** Now we come to [dec_star''] itself. It takes as an input a natural [l] that records how much of the string has been searched so far, as we did for [split']. The return type expresses that [dec_star''] is looking for an index into [s] that splits [s] into a nonempty prefix and a suffix, such that the prefix satisfies [P] and the suffix satisfies [P']. *)
|
adamc@91
|
1117
|
adam@297
|
1118 Definition dec_star'' : forall l : nat,
|
adam@297
|
1119 {exists l', S l' <= l
|
adamc@91
|
1120 /\ P (substring n (S l') s) /\ P' (substring (n + S l') (length s - (n + S l')) s)}
|
adamc@91
|
1121 + {forall l', S l' <= l
|
adamc@214
|
1122 -> ~ P (substring n (S l') s)
|
adamc@214
|
1123 \/ ~ P' (substring (n + S l') (length s - (n + S l')) s)}.
|
adamc@91
|
1124 refine (fix F (l : nat) : {exists l', S l' <= l
|
adamc@91
|
1125 /\ P (substring n (S l') s) /\ P' (substring (n + S l') (length s - (n + S l')) s)}
|
adamc@91
|
1126 + {forall l', S l' <= l
|
adamc@214
|
1127 -> ~ P (substring n (S l') s)
|
adamc@214
|
1128 \/ ~ P' (substring (n + S l') (length s - (n + S l')) s)} :=
|
adam@380
|
1129 match l return {exists l', S l' <= l
|
adam@380
|
1130 /\ P (substring n (S l') s) /\ P' (substring (n + S l') (length s - (n + S l')) s)}
|
adam@380
|
1131 + {forall l', S l' <= l
|
adam@380
|
1132 -> ~ P (substring n (S l') s)
|
adam@380
|
1133 \/ ~ P' (substring (n + S l') (length s - (n + S l')) s)} with
|
adamc@91
|
1134 | O => _
|
adamc@91
|
1135 | S l' =>
|
adamc@91
|
1136 (P_dec (substring n (S l') s) && P'_dec (n' := n + S l') _)
|
adamc@91
|
1137 || F l'
|
adamc@91
|
1138 end); clear F; crush; eauto 7;
|
adamc@91
|
1139 match goal with
|
adamc@91
|
1140 | [ H : ?X <= S ?Y |- _ ] => destruct (eq_nat_dec X (S Y)); crush
|
adamc@91
|
1141 end.
|
adamc@91
|
1142 Defined.
|
adamc@91
|
1143 End dec_star''.
|
adamc@91
|
1144
|
adamc@93
|
1145 (* begin hide *)
|
adamc@92
|
1146 Lemma star_length_contra : forall n,
|
adamc@92
|
1147 length s > n
|
adamc@92
|
1148 -> n >= length s
|
adamc@92
|
1149 -> False.
|
adamc@92
|
1150 crush.
|
adamc@92
|
1151 Qed.
|
adamc@92
|
1152
|
adamc@92
|
1153 Lemma star_length_flip : forall n n',
|
adamc@92
|
1154 length s - n <= S n'
|
adamc@92
|
1155 -> length s > n
|
adamc@92
|
1156 -> length s - n > 0.
|
adamc@92
|
1157 crush.
|
adamc@92
|
1158 Qed.
|
adamc@92
|
1159
|
adamc@92
|
1160 Hint Resolve star_length_contra star_length_flip substring_suffix_emp.
|
adamc@93
|
1161 (* end hide *)
|
adamc@92
|
1162
|
adamc@93
|
1163 (** The work of [dec_star''] is nested inside another linear search by [dec_star'], which provides the final functionality we need, but for arbitrary suffixes of [s], rather than just for [s] overall. *)
|
adamc@93
|
1164
|
adam@297
|
1165 Definition dec_star' : forall n n' : nat, length s - n' <= n
|
adamc@91
|
1166 -> {star P (substring n' (length s - n') s)}
|
adamc@214
|
1167 + {~ star P (substring n' (length s - n') s)}.
|
adamc@214
|
1168 refine (fix F (n n' : nat) : length s - n' <= n
|
adamc@91
|
1169 -> {star P (substring n' (length s - n') s)}
|
adamc@214
|
1170 + {~ star P (substring n' (length s - n') s)} :=
|
adamc@214
|
1171 match n with
|
adamc@91
|
1172 | O => fun _ => Yes
|
adamc@91
|
1173 | S n'' => fun _ =>
|
adamc@91
|
1174 le_gt_dec (length s) n'
|
adam@338
|
1175 || dec_star'' (n := n') (star P)
|
adam@338
|
1176 (fun n0 _ => Reduce (F n'' n0 _)) (length s - n')
|
adamc@92
|
1177 end); clear F; crush; eauto;
|
adamc@92
|
1178 match goal with
|
adamc@92
|
1179 | [ H : star _ _ |- _ ] => apply star_substring_inv in H; crush; eauto
|
adamc@92
|
1180 end;
|
adamc@92
|
1181 match goal with
|
adamc@92
|
1182 | [ H1 : _ < _ - _, H2 : forall l' : nat, _ <= _ - _ -> _ |- _ ] =>
|
adamc@92
|
1183 generalize (H2 _ (lt_le_S _ _ H1)); tauto
|
adamc@92
|
1184 end.
|
adamc@91
|
1185 Defined.
|
adamc@91
|
1186
|
adam@380
|
1187 (** Finally, we have [dec_star], defined by straightforward reduction from [dec_star']. *)
|
adamc@93
|
1188
|
adamc@214
|
1189 Definition dec_star : {star P s} + {~ star P s}.
|
adam@380
|
1190 refine (Reduce (dec_star' (n := length s) 0 _)); crush.
|
adamc@91
|
1191 Defined.
|
adamc@91
|
1192 End dec_star.
|
adamc@91
|
1193
|
adamc@93
|
1194 (* begin hide *)
|
adamc@86
|
1195 Lemma app_cong : forall x1 y1 x2 y2,
|
adamc@86
|
1196 x1 = x2
|
adamc@86
|
1197 -> y1 = y2
|
adamc@86
|
1198 -> x1 ++ y1 = x2 ++ y2.
|
adamc@86
|
1199 congruence.
|
adamc@86
|
1200 Qed.
|
adamc@86
|
1201
|
adamc@86
|
1202 Hint Resolve app_cong.
|
adamc@93
|
1203 (* end hide *)
|
adamc@93
|
1204
|
adamc@93
|
1205 (** With these helper functions completed, the implementation of our [matches] function is refreshingly straightforward. We only need one small piece of specific tactic work beyond what [crush] does for us. *)
|
adamc@86
|
1206
|
adam@297
|
1207 Definition matches : forall P (r : regexp P) s, {P s} + {~ P s}.
|
adamc@214
|
1208 refine (fix F P (r : regexp P) s : {P s} + {~ P s} :=
|
adamc@86
|
1209 match r with
|
adamc@86
|
1210 | Char ch => string_dec s (String ch "")
|
adamc@86
|
1211 | Concat _ _ r1 r2 => Reduce (split (F _ r1) (F _ r2) s)
|
adamc@87
|
1212 | Or _ _ r1 r2 => F _ r1 s || F _ r2 s
|
adamc@91
|
1213 | Star _ r => dec_star _ _ _
|
adamc@86
|
1214 end); crush;
|
adamc@86
|
1215 match goal with
|
adam@426
|
1216 | [ H : _ |- _ ] => generalize (H _ _ (eq_refl _))
|
adamc@93
|
1217 end; tauto.
|
adamc@86
|
1218 Defined.
|
adamc@86
|
1219
|
adam@283
|
1220 (** It is interesting to pause briefly to consider alternate implementations of [matches]. Dependent types give us much latitude in how specific correctness properties may be encoded with types. For instance, we could have made [regexp] a non-indexed inductive type, along the lines of what is possible in traditional ML and Haskell. We could then have implemented a recursive function to map [regexp]s to their intended meanings, much as we have done with types and programs in other examples. That style is compatible with the [refine]-based approach that we have used here, and it might be an interesting exercise to redo the code from this subsection in that alternate style or some further encoding of the reader's choice. The main advantage of indexed inductive types is that they generally lead to the smallest amount of code. *)
|
adam@283
|
1221
|
adamc@93
|
1222 (* begin hide *)
|
adamc@86
|
1223 Example hi := Concat (Char "h"%char) (Char "i"%char).
|
adam@380
|
1224 Eval hnf in matches hi "hi".
|
adam@380
|
1225 Eval hnf in matches hi "bye".
|
adamc@87
|
1226
|
adamc@87
|
1227 Example a_b := Or (Char "a"%char) (Char "b"%char).
|
adam@380
|
1228 Eval hnf in matches a_b "".
|
adam@380
|
1229 Eval hnf in matches a_b "a".
|
adam@380
|
1230 Eval hnf in matches a_b "aa".
|
adam@380
|
1231 Eval hnf in matches a_b "b".
|
adam@283
|
1232 (* end hide *)
|
adam@283
|
1233
|
adam@405
|
1234 (** Many regular expression matching problems are easy to test. The reader may run each of the following queries to verify that it gives the correct answer. We use evaluation strategy %\index{tactics!hnf}%[hnf] to reduce each term to%\index{head-normal form}% _head-normal form_, where the datatype constructor used to build its value is known. *)
|
adamc@91
|
1235
|
adamc@91
|
1236 Example a_star := Star (Char "a"%char).
|
adam@380
|
1237 Eval hnf in matches a_star "".
|
adam@380
|
1238 Eval hnf in matches a_star "a".
|
adam@380
|
1239 Eval hnf in matches a_star "b".
|
adam@380
|
1240 Eval hnf in matches a_star "aa".
|
adam@283
|
1241
|
adam@283
|
1242 (** Evaluation inside Coq does not scale very well, so it is easy to build other tests that run for hours or more. Such cases are better suited to execution with the extracted OCaml code. *)
|