author | Christian Urban <urbanc@in.tum.de> |
Tue, 20 Jul 2010 13:34:44 +0100 | |
changeset 440 | a0b280dd4bc7 |
parent 426 | d94755882e36 |
child 441 | 520127b708e6 |
permissions | -rw-r--r-- |
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theory Solutions |
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imports FirstSteps "Recipes/Timing" |
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begin |
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(*<*) |
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setup{* |
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open_file_with_prelude |
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"Solutions_Code.thy" |
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["theory Solutions", "imports FirstSteps", "begin"] |
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*} |
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(*>*) |
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chapter {* Solutions to Most Exercises\label{ch:solutions} *} |
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text {* \solution{fun:revsum} *} |
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ML{*fun rev_sum ((p as Const (@{const_name plus}, _)) $ t $ u) = |
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p $ u $ rev_sum t |
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| rev_sum t = t *} |
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text {* |
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An alternative solution using the function @{ML_ind mk_binop in HOLogic} is: |
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*} |
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ML{*fun rev_sum t = |
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let |
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fun dest_sum (Const (@{const_name plus}, _) $ u $ u') = u' :: dest_sum u |
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| dest_sum u = [u] |
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in |
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foldl1 (HOLogic.mk_binop @{const_name plus}) (dest_sum t) |
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end *} |
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text {* \solution{fun:makesum} *} |
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ML{*fun make_sum t1 t2 = |
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HOLogic.mk_nat (HOLogic.dest_nat t1 + HOLogic.dest_nat t2) *} |
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text {* \solution{ex:debruijn} *} |
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ML{*fun P n = @{term "P::nat \<Rightarrow> bool"} $ (HOLogic.mk_number @{typ "nat"} n) |
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fun rhs 1 = P 1 |
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| rhs n = HOLogic.mk_conj (P n, rhs (n - 1)) |
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fun lhs 1 n = HOLogic.mk_imp (HOLogic.mk_eq (P 1, P n), rhs n) |
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| lhs m n = HOLogic.mk_conj (HOLogic.mk_imp |
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(HOLogic.mk_eq (P (m - 1), P m), rhs n), lhs (m - 1) n) |
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fun de_bruijn n = |
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HOLogic.mk_Trueprop (HOLogic.mk_imp (lhs n n, rhs n))*} |
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text {* \solution{ex:scancmts} *} |
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ML{*val any = Scan.one (Symbol.not_eof) |
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val scan_cmt = |
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let |
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val begin_cmt = Scan.this_string "(*" |
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val end_cmt = Scan.this_string "*)" |
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in |
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begin_cmt |-- Scan.repeat (Scan.unless end_cmt any) --| end_cmt |
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>> (enclose "(**" "**)" o implode) |
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end |
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val parser = Scan.repeat (scan_cmt || any) |
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val scan_all = |
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Scan.finite Symbol.stopper parser >> implode #> fst *} |
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text {* |
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By using @{text "#> fst"} in the last line, the function |
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@{ML scan_all} retruns a string, instead of the pair a parser would |
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normally return. For example: |
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@{ML_response [display,gray] |
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"let |
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val input1 = (explode \"foo bar\") |
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val input2 = (explode \"foo (*test*) bar (*test*)\") |
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in |
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(scan_all input1, scan_all input2) |
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end" |
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"(\"foo bar\", \"foo (**test**) bar (**test**)\")"} |
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*} |
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text {* \solution{ex:contextfree} *} |
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ML{*datatype expr = |
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Number of int |
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| Mult of expr * expr |
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| Add of expr * expr |
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fun parse_basic xs = |
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(Parse.nat >> Number |
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|| Parse.$$$ "(" |-- parse_expr --| Parse.$$$ ")") xs |
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and parse_factor xs = |
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(parse_basic --| Parse.$$$ "*" -- parse_factor >> Mult |
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|| parse_basic) xs |
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and parse_expr xs = |
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(parse_factor --| Parse.$$$ "+" -- parse_expr >> Add |
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|| parse_factor) xs*} |
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text {* \solution{ex:dyckhoff} *} |
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text {* |
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The axiom rule can be implemented with the function @{ML atac}. The other |
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rules correspond to the theorems: |
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\begin{center} |
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\begin{tabular}{cc} |
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\begin{tabular}{rl} |
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$\wedge_R$ & @{thm [source] conjI}\\ |
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$\vee_{R_1}$ & @{thm [source] disjI1}\\ |
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$\vee_{R_2}$ & @{thm [source] disjI2}\\ |
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$\longrightarrow_R$ & @{thm [source] impI}\\ |
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$=_R$ & @{thm [source] iffI}\\ |
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\end{tabular} |
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& |
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\begin{tabular}{rl} |
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$False$ & @{thm [source] FalseE}\\ |
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$\wedge_L$ & @{thm [source] conjE}\\ |
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$\vee_L$ & @{thm [source] disjE}\\ |
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$=_L$ & @{thm [source] iffE} |
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\end{tabular} |
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\end{tabular} |
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\end{center} |
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For the other rules we need to prove the following lemmas. |
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*} |
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lemma impE1: |
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shows "\<lbrakk>A \<longrightarrow> B; A; B \<Longrightarrow> R\<rbrakk> \<Longrightarrow> R" |
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by iprover |
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lemma impE2: |
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shows "\<lbrakk>(C \<and> D) \<longrightarrow> B; C \<longrightarrow> (D \<longrightarrow>B) \<Longrightarrow> R\<rbrakk> \<Longrightarrow> R" |
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by iprover |
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lemma impE3: |
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shows "\<lbrakk>(C \<or> D) \<longrightarrow> B; \<lbrakk>C \<longrightarrow> B; D \<longrightarrow> B\<rbrakk> \<Longrightarrow> R\<rbrakk> \<Longrightarrow> R" |
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by iprover |
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lemma impE4: |
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shows "\<lbrakk>(C \<longrightarrow> D) \<longrightarrow> B; D \<longrightarrow> B \<Longrightarrow> C \<longrightarrow> D; B \<Longrightarrow> R\<rbrakk> \<Longrightarrow> R" |
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by iprover |
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lemma impE5: |
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shows "\<lbrakk>(C = D) \<longrightarrow> B; (C \<longrightarrow> D) \<longrightarrow> ((D \<longrightarrow> C) \<longrightarrow> B) \<Longrightarrow> R\<rbrakk> \<Longrightarrow> R" |
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by iprover |
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text {* |
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Now the tactic which applies a single rule can be implemented |
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as follows. |
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*} |
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ML %linenosgray{*val apply_tac = |
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let |
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val intros = [@{thm conjI}, @{thm disjI1}, @{thm disjI2}, |
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@{thm impI}, @{thm iffI}] |
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val elims = [@{thm FalseE}, @{thm conjE}, @{thm disjE}, @{thm iffE}, |
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@{thm impE2}, @{thm impE3}, @{thm impE4}, @{thm impE5}] |
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in |
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atac |
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ORELSE' resolve_tac intros |
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ORELSE' eresolve_tac elims |
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ORELSE' (etac @{thm impE1} THEN' atac) |
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end*} |
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text {* |
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In Line 11 we apply the rule @{thm [source] impE1} in concjunction |
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with @{ML atac} in order to reduce the number of possibilities that |
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need to be explored. You can use the tactic as follows. |
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*} |
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lemma |
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shows "((((P \<longrightarrow> Q) \<longrightarrow> P) \<longrightarrow> P) \<longrightarrow> Q) \<longrightarrow> Q" |
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apply(tactic {* (DEPTH_SOLVE o apply_tac) 1 *}) |
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done |
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text {* |
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We can use the tactic to prove or disprove automatically the |
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de Bruijn formulae from Exercise \ref{ex:debruijn}. |
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*} |
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ML{*fun de_bruijn_prove ctxt n = |
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let |
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val goal = HOLogic.mk_Trueprop (HOLogic.mk_imp (lhs n n, rhs n)) |
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in |
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Goal.prove ctxt ["P"] [] goal |
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(fn _ => (DEPTH_SOLVE o apply_tac) 1) |
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end*} |
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text {* |
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You can use this function to prove de Bruijn formulae. |
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*} |
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ML{*de_bruijn_prove @{context} 3 *} |
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text {* \solution{ex:addsimproc} *} |
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ML{*fun dest_sum term = |
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case term of |
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(@{term "(op +):: nat \<Rightarrow> nat \<Rightarrow> nat"} $ t1 $ t2) => |
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(snd (HOLogic.dest_number t1), snd (HOLogic.dest_number t2)) |
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| _ => raise TERM ("dest_sum", [term]) |
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fun get_sum_thm ctxt t (n1, n2) = |
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let |
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val sum = HOLogic.mk_number @{typ "nat"} (n1 + n2) |
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val goal = Logic.mk_equals (t, sum) |
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in |
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Goal.prove ctxt [] [] goal (K (Arith_Data.arith_tac ctxt 1)) |
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end |
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fun add_sp_aux ss t = |
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let |
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val ctxt = Simplifier.the_context ss |
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val t' = term_of t |
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in |
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SOME (get_sum_thm ctxt t' (dest_sum t')) |
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handle TERM _ => NONE |
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end*} |
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text {* The setup for the simproc is *} |
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simproc_setup %gray add_sp ("t1 + t2") = {* K add_sp_aux *} |
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text {* and a test case is the lemma *} |
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lemma "P (Suc (99 + 1)) ((0 + 0)::nat) (Suc (3 + 3 + 3)) ((4 + 1)::nat)" |
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apply(tactic {* simp_tac (HOL_basic_ss addsimprocs [@{simproc add_sp}]) 1 *}) |
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txt {* |
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where the simproc produces the goal state |
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|
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\begin{minipage}{\textwidth} |
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@{subgoals [display]} |
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\end{minipage}\bigskip |
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*}(*<*)oops(*>*) |
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|
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text {* \solution{ex:addconversion} *} |
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text {* |
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The following code assumes the function @{ML dest_sum} from the previous |
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exercise. |
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*} |
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ML{*fun add_simple_conv ctxt ctrm = |
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let |
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val trm = Thm.term_of ctrm |
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in |
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case trm of |
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@{term "(op +)::nat \<Rightarrow> nat \<Rightarrow> nat"} $ _ $ _ => |
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get_sum_thm ctxt trm (dest_sum trm) |
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| _ => Conv.all_conv ctrm |
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end |
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val add_conv = Conv.bottom_conv add_simple_conv |
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410 | 259 |
fun add_tac ctxt = CONVERSION (add_conv ctxt)*} |
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text {* |
175 | 262 |
A test case for this conversion is as follows |
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*} |
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lemma "P (Suc (99 + 1)) ((0 + 0)::nat) (Suc (3 + 3 + 3)) ((4 + 1)::nat)" |
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apply(tactic {* add_tac @{context} 1 *})? |
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txt {* |
175 | 268 |
where it produces the goal state |
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|
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\begin{minipage}{\textwidth} |
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@{subgoals [display]} |
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\end{minipage}\bigskip |
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*}(*<*)oops(*>*) |
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text {* \solution{ex:compare} *} |
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text {* |
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We use the timing function @{ML timing_wrapper} from Recipe~\ref{rec:timing}. |
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To measure any difference between the simproc and conversion, we will create |
|
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mechanically terms involving additions and then set up a goal to be |
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simplified. We have to be careful to set up the goal so that |
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other parts of the simplifier do not interfere. For this we construct an |
174 | 283 |
unprovable goal which, after simplification, we are going to ``prove'' with |
351 | 284 |
the help of ``\isacommand{sorry}'', that is the method @{ML Skip_Proof.cheat_tac} |
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|
174 | 286 |
For constructing test cases, we first define a function that returns a |
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complete binary tree whose leaves are numbers and the nodes are |
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additions. |
|
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*} |
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ML{*fun term_tree n = |
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let |
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val count = Unsynchronized.ref 0; |
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|
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fun term_tree_aux n = |
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case n of |
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0 => (count := !count + 1; HOLogic.mk_number @{typ nat} (!count)) |
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| _ => Const (@{const_name "plus"}, @{typ "nat\<Rightarrow>nat\<Rightarrow>nat"}) |
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$ (term_tree_aux (n - 1)) $ (term_tree_aux (n - 1)) |
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in |
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term_tree_aux n |
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end*} |
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|
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text {* |
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This function generates for example: |
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|
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@{ML_response_fake [display,gray] |
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"pwriteln (pretty_term @{context} (term_tree 2))" |
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"(1 + 2) + (3 + 4)"} |
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|
174 | 311 |
The next function constructs a goal of the form @{text "P \<dots>"} with a term |
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produced by @{ML term_tree} filled in. |
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*} |
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ML{*fun goal n = HOLogic.mk_Trueprop (@{term "P::nat\<Rightarrow> bool"} $ (term_tree n))*} |
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|
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text {* |
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Note that the goal needs to be wrapped in a @{term "Trueprop"}. Next we define |
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two tactics, @{text "c_tac"} and @{text "s_tac"}, for the conversion and simproc, |
174 | 320 |
respectively. The idea is to first apply the conversion (respectively simproc) and |
351 | 321 |
then prove the remaining goal using @{ML "cheat_tac" in Skip_Proof}. |
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*} |
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|
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ML{*local |
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fun mk_tac tac = |
351 | 326 |
timing_wrapper (EVERY1 [tac, K (Skip_Proof.cheat_tac @{theory})]) |
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in |
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val c_tac = mk_tac (add_tac @{context}) |
407 | 329 |
val s_tac = mk_tac (simp_tac |
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(HOL_basic_ss addsimprocs [@{simproc add_sp}])) |
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end*} |
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|
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text {* |
175 | 334 |
This is all we need to let the conversion run against the simproc: |
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*} |
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174 | 337 |
ML{*val _ = Goal.prove @{context} [] [] (goal 8) (K c_tac) |
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val _ = Goal.prove @{context} [] [] (goal 8) (K s_tac)*} |
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text {* |
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If you do the exercise, you can see that both ways of simplifying additions |
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adapted to latest Attrib.setup changes and more work on the simple induct chapter
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perform relatively similar with perhaps some advantages for the |
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simproc. That means the simplifier, even if much more complicated than |
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conversions, is quite efficient for tasks it is designed for. It usually does not |
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make sense to implement general-purpose rewriting using |
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conversions. Conversions only have clear advantages in special situations: |
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parents:
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for example if you need to have control over innermost or outermost |
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rewriting, or when rewriting rules are lead to non-termination. |
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*} |
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polished the section about simprocs and added an exercise
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end |