theory Intro
imports Base
begin
chapter {* Introduction *}
text {*
If your next project requires you to program on the ML-level of Isabelle,
then this tutorial is for you. It will guide you through the first steps of
Isabelle programming, and also explain tricks of the trade. The best way to
get to know the ML-level of Isabelle is by experimenting with the many code
examples included in the tutorial. The code is as far as possible checked
against recent versions of Isabelle. If something does not work, then
please let us know. If you have comments, criticism or like to add to the
tutorial, please feel free---you are most welcome! The tutorial is meant to be
gentle and comprehensive. To achieve this we need your feedback.
*}
section {* Intended Audience and Prior Knowledge *}
text {*
This tutorial targets readers who already know how to use Isabelle for
writing theories and proofs. We also assume that readers are familiar with
the functional programming language ML, the language in which most of
Isabelle is implemented. If you are unfamiliar with either of these two
subjects, you should first work through the Isabelle/HOL tutorial
\cite{isa-tutorial} or Paulson's book on ML \cite{paulson-ml2}.
*}
section {* Existing Documentation *}
text {*
The following documentation about Isabelle programming already exists (and is
part of the distribution of Isabelle):
\begin{description}
\item[The Isabelle/Isar Implementation Manual] describes Isabelle
from a high-level perspective, documenting both the underlying
concepts and some of the interfaces.
\item[The Isabelle Reference Manual] is an older document that used
to be the main reference of Isabelle at a time when all proof scripts
were written on the ML-level. Many parts of this manual are outdated
now, but some parts, particularly the chapters on tactics, are still
useful.
\item[The Isar Reference Manual] provides specification material (like grammars,
examples and so on) about Isar and its implementation. It is currently in
the process of being updated.
\end{description}
Then of course there is:
\begin{description}
\item[The code.] Which is the ultimate reference for how
things really work. Therefore you should not hesitate to look at the
way things are actually implemented. More importantly, it is often
good to look at code that does similar things as you want to do and
learn from it. The UNIX command @{text "grep -R"} is
often your best friend while programming with Isabelle.
\end{description}
*}
section {* Typographic Conventions *}
text {*
All ML-code in this tutorial is typeset in shaded boxes, like the following
ML-expression:
\begin{isabelle}
\begin{graybox}
\isacommand{ML}~@{text "\<verbopen>"}\isanewline
\hspace{5mm}@{ML "3 + 4"}\isanewline
@{text "\<verbclose>"}
\end{graybox}
\end{isabelle}
These boxes correspond to how code can be processed inside the interactive
environment of Isabelle. It is therefore easy to experiment with what is
displayed. However, for better readability we will drop the enclosing
\isacommand{ML}~@{text "\<verbopen> \<dots> \<verbclose>"} and just write:
@{ML [display,gray] "3 + 4"}
Whenever appropriate we also show the response the code
generates when evaluated. This response is prefixed with a
@{text [quotes] ">"}, like:
@{ML_response [display,gray] "3 + 4" "7"}
The user-level commands of Isabelle (i.e., the non-ML code) are written
in \isacommand{bold face} (e.g., \isacommand{lemma}, \isacommand{apply},
\isacommand{foobar} and so on). We use @{text "$ \<dots>"} to indicate that a
command needs to be run in a Unix-shell, for example:
@{text [display] "$ grep -R ThyOutput *"}
Pointers to further information and Isabelle files are typeset in
\textit{italic} and highlighted as follows:
\begin{readmore}
Further information or pointers to files.
\end{readmore}
The pointers to Isabelle files are hyperlinked to the tip of the Mercurial
repository of Isabelle at \href{http://isabelle.in.tum.de/repos/isabelle/}
{http://isabelle.in.tum.de/repos/isabelle/}.
A few exercises are scattered around the text. Their solutions are given
in Appendix~\ref{ch:solutions}. Of course, you learn most, if you first try
to solve the exercises on your own, and then look at the solutions.
*}
section {* Acknowledgements *}
text {*
Financial support for this tutorial was provided by the German
Research Council (DFG) under grant number URB 165/5-1. The following
people contributed to the text:
\begin{itemize}
\item {\bf Stefan Berghofer} wrote nearly all of the ML-code of the
\simpleinductive-package and the code for the @{text
"chunk"}-antiquotation. He also wrote the first version of the chapter
describing the package and has been helpful \emph{beyond measure} with
answering questions about Isabelle.
\item {\bf Sascha Böhme} contributed the recipes in \ref{rec:timeout},
\ref{rec:config}, \ref{rec:storingdata}, \ref{rec:external} and \ref{rec:oracle}.
He also wrote section \ref{sec:conversion} and helped with recipe \ref{rec:timing}.
\item {\bf Jeremy Dawson} wrote the first version of the chapter
about parsing.
\item {\bf Armin Heller} helped with recipe \ref{rec:sat}.
\item {\bf Alexander Krauss} wrote the first version of the ``first-steps''
chapter and also contributed the material on @{text NamedThmsFun}.
\item {\bf Christian Sternagel} proof read the tutorial and made
comments.
\end{itemize}
Please let me know of any omissions. Responsibility for any remaining
errors lies with me.\bigskip
{\Large\bf
This document is still in the process of being written! All of the
text is still under construction. Sections and
chapters that are under \underline{heavy} construction are marked
with TBD.}
\vfill
This document was compiled with:\\
\input{version}
*}
end