ProgTutorial/Advanced.thy
author Christian Urban <urbanc@in.tum.de>
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a section about theories and setups
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theory Advanced
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imports Base First_Steps
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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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  "Advanced_Code.thy"
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  ["theory Advanced", "imports Base First_Steps", "begin"]
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*}
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(*>*)
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chapter {* Advanced Isabelle\label{chp:advanced} *}
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text {*
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   \begin{flushright}
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  {\em All things are difficult before they are easy.} \\[1ex]
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  proverb
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  \end{flushright}
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  \medskip
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  While terms, types and theorems are the most basic data structures in
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  Isabelle, there are a number of layers built on top of them. Most of these
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  layers are concerned with storing and manipulating data. Handling them
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  properly is an essential skill for programming on the ML-level of Isabelle
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  programming. The most basic layer are theories. They contain global data and
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  can be seen as the ``long-term memory'' of Isabelle. There is usually only
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  one theory active at each moment. Proof contexts and local theories, on the
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  other hand, store local data for a task at hand. They act like the
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  ``short-term memory'' and there can be many of them that are active in
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  parallel.
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*}
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section {* Theories and Setups\label{sec:theories} *}
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text {*
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  Theories, as said above, are the most basic layer of abstraction in
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  Isabelle. They contain definitions, syntax declarations, axioms, proofs
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  and much more. If a definition is made, it must be stored in a theory in order to be
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  usable later on. Similar with proofs: once a proof is finished, the proved
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  theorem needs to be stored in the theorem database of the theory in order to
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  be usable. All relevant data of a theory can be queried as follows.
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  \begin{isabelle}
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  \isacommand{print\_theory}\\
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  @{text "> names: Pure Code_Generator HOL \<dots>"}\\
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  @{text "> classes: Inf < type \<dots>"}\\
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  @{text "> default sort: type"}\\
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  @{text "> syntactic types: #prop \<dots>"}\\
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  @{text "> logical types: 'a \<times> 'b \<dots>"}\\
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  @{text "> type arities: * :: (random, random) random \<dots>"}\\
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  @{text "> logical constants: == :: 'a \<Rightarrow> 'a \<Rightarrow> prop \<dots>"}\\
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  @{text "> abbreviations: \<dots>"}\\
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  @{text "> axioms: \<dots>"}\\
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  @{text "> oracles: \<dots>"}\\
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  @{text "> definitions: \<dots>"}\\
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  @{text "> theorems: \<dots>"}
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  \end{isabelle}
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  In the context ML-programming, the most important command with theories
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  is \isacommand{setup}. In the previous chapters we used it, for
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  example, to make a theorem attribute known to Isabelle or to register a theorem
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  under a name. What happens behind the scenes is that \isacommand{setup}
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  expects a function of type @{ML_type "theory -> theory"}: the input theory
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  is the current theory and the output the theory where the attribute has been
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  registered or the theorem has been stored.  This is a fundamental principle
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  in Isabelle. A similar situation arises with declaring constants. The
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  function that declares a constant on the ML-level is @{ML_ind declare_const
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  in Sign} in the structure @{ML_struct Sign}. To see how \isacommand{setup}
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  works, consider the following code: 
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*}  
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ML{*let
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  val thy = @{theory}
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  val bar_const = ((@{binding "BAR"}, @{typ "nat"}), NoSyn)
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in 
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  Sign.declare_const @{context} bar_const thy  
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end*}
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text {*
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  If you simply write this code\footnote{Recall that ML-code needs to be enclosed in
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  \isacommand{ML}~@{text "\<verbopen> \<dots> \<verbclose>"}.} with the
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  intention of declaring a constant @{text "BAR"} with type @{typ nat} and run
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  the code, then indeed you obtain a theory as result. But if you query the
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  constant on the Isabelle level using the command \isacommand{term}
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  \begin{isabelle}
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  \isacommand{term}~@{text BAR}\\
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  @{text "> \"BAR\" :: \"'a\""}
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  \end{isabelle}
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  you can see that you do \emph{not} obtain a constant of type @{typ nat}, but a free 
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  variable (printed in blue) of polymorphic type. The problem is that the 
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  ML-expression above did not ``register'' the declaration with the current theory. 
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  This is what the command \isacommand{setup} is for. The constant is properly 
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  declared with
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*}
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setup %gray {* fn thy => 
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let
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  val bar_const = ((@{binding "BAR"}, @{typ "nat"}), NoSyn)
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  val (_, thy') = Sign.declare_const @{context} bar_const thy
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in 
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  thy'
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end *}
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text {* 
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  where the declaration is actually applied to the current theory and
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  \begin{isabelle}
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  \isacommand{term}~@{text [quotes] "BAR"}\\
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  @{text "> \"BAR\" :: \"nat\""}
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  \end{isabelle}
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  returns now a (black) constant with the type @{typ nat}, as expected.
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  In a sense, \isacommand{setup} can be seen as a transaction that takes the
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  current theory, applies an operation, and produces a new current theory. This
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  means that we have to be careful to apply operations always to the most current
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  theory, not to a \emph{stale} one. Consider again the function inside the
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  \isacommand{setup}-command:
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  \begin{isabelle}
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  \begin{graybox}
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  \isacommand{setup}~@{text "\<verbopen>"} @{ML
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"fn thy => 
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let
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  val bar_const = ((@{binding \"BAR\"}, @{typ \"nat\"}), NoSyn)
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  val (_, thy') = Sign.declare_const @{context} bar_const thy
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in
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  thy
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end"}~@{text "\<verbclose>"}\isanewline
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  @{text "> ERROR \"Stale theory encountered\""}
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  \end{graybox}
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  \end{isabelle}
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  This time we erroneously return the original theory @{text thy}, instead of
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  the modified one @{text thy'}. Such programming errors with handling the
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  most current theory will always result into stale theory error messages.
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  However, sometimes it does make sense to work with two theories at the same
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  time, especially in the context of parsing and typing. In the code below we
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  use in Line 3 the function @{ML_ind copy in Theory} from the structure
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  @{ML_struct Theory} for obtaining a new theory that contains the same
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  data, but is unrelated to the existing theory.
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*}
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setup %graylinenos {* fn thy => 
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let
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  val tmp_thy = Theory.copy thy
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  val foo_const = ((@{binding "FOO"}, @{typ "nat => nat"}), NoSyn)
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  val (_, tmp_thy') = Sign.declare_const @{context} foo_const tmp_thy
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  val trm1 = Syntax.read_term_global tmp_thy' "FOO baz"
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  val trm2 = Syntax.read_term_global thy "FOO baz"
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  val _ = writeln (@{make_string} trm1 ^ "\n" ^ @{make_string} trm2)
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in
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  thy
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end *}
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text {*
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  That means we can make changes to the theory @{text tmp_thy} without
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  affecting the current theory @{text thy}. In this case we declare in @{text
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  "tmp_thy"} the constant @{text FOO} (Lines 4 and 5). The point of this code
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  is that we next, in Lines 6 and 7, parse a string to become a term (both
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  times the string is @{text [quotes] "FOO baz"}). But since we parse the string
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  once in the context of the theory @{text tmp_thy'} in which @{text FOO} is
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  declared to be a constant of type @{typ "nat \<Rightarrow>nat"} and once in the context 
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  of @{text thy}, we obtain two different terms, namely 
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  \begin{isabelle}
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  \begin{graybox}
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  @{text "> Const (\"Advanced.FOO\", \"nat \<Rightarrow> nat\") $ Free (\"baz\", \"nat\")"}\isanewline
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  @{text "> Free (\"FOO\", \"'a \<Rightarrow> 'b\") $ Free (\"baz\", \"'a\")"}
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  \end{graybox}
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  \end{isabelle}
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  There are two reasons for parsing a term in a temporary theory. One is to
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  obtain fully qualified names and the other is appropriate type inference.
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  This is relevant in situations where definitions are made later, but parsing
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  and type inference has to take already proceed as if the definitions were
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  already made.
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*}
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section {* Contexts (TBD) *}
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text {*
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  Contexts are arguably more important than theories, even though they only 
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  contain ``short-term memory data''. The reason is that a vast number of
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  functions in Isabelle depend one way or the other on contexts. Even such
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  mundane operation like printing out a term make essential use of contexts.
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*}
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(*
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ML{*Proof_Context.debug := true*}
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ML{*Proof_Context.verbose := true*}
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*)
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lemma "True"
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proof -
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  { -- "\<And>x. _"
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    fix x
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    have "B x" sorry
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    thm this
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  }
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  thm this
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  { -- "A \<Longrightarrow> _"
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    assume A
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    have B sorry
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    thm this
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  }
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  thm this
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  { -- "\<And>x. x = _ \<Longrightarrow> _"
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    def x \<equiv> a
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    have "B x" sorry
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  }
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  thm this
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oops
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section {* Local Theories (TBD) *}
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text {*
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  In contrast to an ordinary theory, which simply consists of a type
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  signature, as well as tables for constants, axioms and theorems, a local
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  theory contains additional context information, such as locally fixed
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  variables and local assumptions that may be used by the package. The type
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  @{ML_type local_theory} is identical to the type of \emph{proof contexts}
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  @{ML_type "Proof.context"}, although not every proof context constitutes a
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  valid local theory.
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  @{ML "Context.>> o Context.map_theory"}
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  @{ML_ind "Local_Theory.declaration"}
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   A similar command is \isacommand{local\_setup}, which expects a function
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  of type @{ML_type "local_theory -> local_theory"}. Later on we will also
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  use the commands \isacommand{method\_setup} for installing methods in the
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  current theory and \isacommand{simproc\_setup} for adding new simprocs to
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  the current simpset.
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*}
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336
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section {* Morphisms (TBD) *}
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text {*
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  Morphisms are arbitrary transformations over terms, types, theorems and bindings.
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  They can be constructed using the function @{ML_ind morphism in Morphism},
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  which expects a record with functions of type
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  \begin{isabelle}
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  \begin{tabular}{rl}
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  @{text "binding:"} & @{text "binding -> binding"}\\
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  @{text "typ:"}     & @{text "typ -> typ"}\\
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  @{text "term:"}    & @{text "term -> term"}\\
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  @{text "fact:"}    & @{text "thm list -> thm list"}
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  \end{tabular}
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  \end{isabelle}
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  The simplest morphism is the  @{ML_ind identity in Morphism}-morphism defined as
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*}
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ML{*val identity = Morphism.morphism {binding = [], typ = [], term = [], fact = []}*}
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text {*
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  Morphisms can be composed with the function @{ML_ind "$>" in Morphism}
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*}
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ML{*fun trm_phi (Free (x, T)) = Var ((x, 0), T) 
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  | trm_phi (Abs (x, T, t)) = Abs (x, T, trm_phi t)
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  | trm_phi (t $ s) = (trm_phi t) $ (trm_phi s)
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  | trm_phi t = t*}
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ML{*val phi = Morphism.term_morphism trm_phi*}
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ML{*Morphism.term phi @{term "P x y"}*}
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text {*
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  @{ML_ind term_morphism in Morphism}
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  @{ML_ind term in Morphism},
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  @{ML_ind thm in Morphism}
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  \begin{readmore}
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  Morphisms are implemented in the file @{ML_file "Pure/morphism.ML"}.
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  \end{readmore}
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*}
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section {* Misc (TBD) *}
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ML {*Datatype.get_info @{theory} "List.list"*}
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319
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text {* 
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FIXME: association lists:
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@{ML_file "Pure/General/alist.ML"}
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FIXME: calling the ML-compiler
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*}
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section {* What Is In an Isabelle Name? (TBD) *}
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text {*
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  On the ML-level of Isabelle, you often have to work with qualified names.
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  These are strings with some additional information, such as positional
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  information and qualifiers. Such qualified names can be generated with the
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  antiquotation @{text "@{binding \<dots>}"}. For example
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  @{ML_response [display,gray]
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  "@{binding \"name\"}"
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  "name"}
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  An example where a qualified name is needed is the function 
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  @{ML_ind define in Local_Theory}.  This function is used below to define 
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  the constant @{term "TrueConj"} as the conjunction @{term "True \<and> True"}.
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*}
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local_setup %gray {* 
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  Local_Theory.define ((@{binding "TrueConj"}, NoSyn), 
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      (Attrib.empty_binding, @{term "True \<and> True"})) #> snd *}
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text {* 
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  Now querying the definition you obtain:
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  \begin{isabelle}
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  \isacommand{thm}~@{text "TrueConj_def"}\\
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  @{text "> "}~@{thm TrueConj_def}
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  \end{isabelle}
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  \begin{readmore}
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  The basic operations on bindings are implemented in 
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  @{ML_file "Pure/General/binding.ML"}.
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  \end{readmore}
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  \footnote{\bf FIXME give a better example why bindings are important}
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  \footnote{\bf FIXME give a pointer to \isacommand{local\_setup}; if not, then explain
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  why @{ML snd} is needed.}
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  \footnote{\bf FIXME: There should probably a separate section on binding, long-names
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  and sign.}
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*}
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ML {* Sign.intern_type @{theory} "list" *}
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ML {* Sign.intern_const @{theory} "prod_fun" *}
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text {*
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  \footnote{\bf FIXME: Explain the following better; maybe put in a separate
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  section and link with the comment in the antiquotation section.}
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  Occasionally you have to calculate what the ``base'' name of a given
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  constant is. For this you can use the function @{ML_ind  Long_Name.base_name}. For example:
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  @{ML_response [display,gray] "Long_Name.base_name \"List.list.Nil\"" "\"Nil\""}
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  \begin{readmore}
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  Functions about naming are implemented in @{ML_file "Pure/General/name_space.ML"};
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  functions about signatures in @{ML_file "Pure/sign.ML"}.
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  \end{readmore}
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*}
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text {* 
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  @{ML_ind "Binding.name_of"} returns the string without markup
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  @{ML_ind "Binding.conceal"} 
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*}
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388
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section {* Concurrency (TBD) *}
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text {*
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  @{ML_ind prove_future in Goal}
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  @{ML_ind future_result in Goal}
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  @{ML_ind fork_pri in Future}
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*}
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section {* Parse and Print Translations (TBD) *}
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section {* Summary *}
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text {*
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  TBD
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*}
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end