ProgTutorial/Solutions.thy
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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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  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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  (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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  \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: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
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fun add_tac ctxt = CONVERSION (add_conv ctxt)*}
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text {*
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  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 {* 
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  where it produces the goal state
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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
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  unprovable goal which, after simplification, we are going to ``prove'' with
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  the help of ``\isacommand{sorry}'', that is the method @{ML Skip_Proof.cheat_tac}
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  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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  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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text {*
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  This function generates for example:
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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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  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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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,
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  respectively. The idea is to first apply the conversion (respectively simproc) and 
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  then prove the remaining goal using @{ML "cheat_tac" in Skip_Proof}.
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*}
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ML{*local
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  fun mk_tac tac = 
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        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}) 
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  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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text {*
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  This is all we need to let the conversion run against the simproc:
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*}
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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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  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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  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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end