Alltt inside mdframed longtable

Question

I am trying to achieve the following:

I have text material which is to be put in verbatim form. This material also has some mathematics, so I am using the alltt package. This text needs to be in a single column table, which should be framed, for which I am using the mdframed package.

The MWE is as below

\documentclass{article}
\usepackage{alltt}
\usepackage{mdframed}
\begin{document}
\begin{table}
\begin{mdframed}
\begin{alltt}
\textbf{OOS()}
begin
preprocess the image \emph{m}.
        data\_normalize(\emph{data}, \emph{method});
        kmeans(data, n);
        kmedoid(data, n);
        fcmeans(data, n);
        validity(result, data, param);
        object();
        \textbf{OOS()}
begin
preprocess the image \emph{m}.
        data\_normalize(\emph{data}, \emph{method});
        kmeans(data, n);
        kmedoid(data, n);
        fcmeans(data, n);
        validity(result, data, param);
        object();\textbf{OOS()}
begin
preprocess the image \emph{m}.
        data\_normalize(\emph{data}, \emph{method});
        kmeans(data, n);
        kmedoid(data, n);
        fcmeans(data, n);
        validity(result, data, param);
        object();\textbf{OOS()}
begin
preprocess the image \emph{m}.
        data\_normalize(\emph{data}, \emph{method});
        kmeans(data, n);
        kmedoid(data, n);
        fcmeans(data, n);
        validity(result, data, param);
        object();
        \textbf{OOS()}
begin
preprocess the image \emph{m}.
        data\_normalize(\emph{data}, \emph{method});
        kmeans(data, n);
        kmedoid(data, n);
        fcmeans(data, n);
        validity(result, data, param);
        object();\textbf{OOS()}
begin
preprocess the image \emph{m}.
        data\_normalize(\emph{data}, \emph{method});
        kmeans(data, n);
        kmedoid(data, n);
        fcmeans(data, n);
        validity(result, data, param);
        object();
        \textbf{OOS()}
begin
preprocess the image \emph{m}.
        data\_normalize(\emph{data}, \emph{method});
        kmeans(data, n);
        kmedoid(data, n);
        fcmeans(data, n);
        validity(result, data, param);
        object();\textbf{OOS()}
begin
preprocess the image \emph{m}.
        data\_normalize(\emph{data}, \emph{method});
        kmeans(data, n);
        kmedoid(data, n);
        fcmeans(data, n);
        validity(result, data, param);
        object();
\end{alltt}
\end{mdframed}
\caption{This is the caption}
\end{table}

\end{document}

This produces a table which goes beyond the current page. What is needed is that the table overflows with the outer frame to the next page. I tried to use the longtable but it seems alltt does not like it.

Any other method of achieving this alltt inside a boxed table which can flow across pages would also be okay.

Answer 1

A table is a float and it won't break across pages. And if you use a longtable, it too can't break across the pages inside the same row (and you have only one row). What to do? Don't use them. If you need a caption use \captionof{table}{caption...} from either caption or capt-of packages.

 \documentclass{article}
\usepackage{alltt,capt-of}
\usepackage{mdframed}

\begin{document}
\bgroup
\captionof{table}{This is the caption}
\egroup
\begin{mdframed}[skipabove=\topskip,skipbelow=\topskip]
\begin{alltt}
\textbf{OOS()}
begin
preprocess the image \emph{m}.
        data\_normalize(\emph{data}, \emph{method});
        kmeans(data, n);
        kmedoid(data, n);
        fcmeans(data, n);
        validity(result, data, param);
        object();
        \textbf{OOS()}
begin
preprocess the image \emph{m}.
        data\_normalize(\emph{data}, \emph{method});
        kmeans(data, n);
        kmedoid(data, n);
        fcmeans(data, n);
        validity(result, data, param);
        object();\textbf{OOS()}
begin
preprocess the image \emph{m}.
        data\_normalize(\emph{data}, \emph{method});
        kmeans(data, n);
        kmedoid(data, n);
        fcmeans(data, n);
        validity(result, data, param);
        object();\textbf{OOS()}
begin
preprocess the image \emph{m}.
        data\_normalize(\emph{data}, \emph{method});
        kmeans(data, n);
        kmedoid(data, n);
        fcmeans(data, n);
        validity(result, data, param);
        object();
        \textbf{OOS()}
begin
preprocess the image \emph{m}.
        data\_normalize(\emph{data}, \emph{method});
        kmeans(data, n);
        kmedoid(data, n);
        fcmeans(data, n);
        validity(result, data, param);
        object();\textbf{OOS()}
begin
preprocess the image \emph{m}.
        data\_normalize(\emph{data}, \emph{method});
        kmeans(data, n);
        kmedoid(data, n);
        fcmeans(data, n);
        validity(result, data, param);
        object();
        \textbf{OOS()}
begin
preprocess the image \emph{m}.
        data\_normalize(\emph{data}, \emph{method});
        kmeans(data, n);
        kmedoid(data, n);
        fcmeans(data, n);
        validity(result, data, param);
        object();\textbf{OOS()}
begin
preprocess the image \emph{m}.
        data\_normalize(\emph{data}, \emph{method});
        kmeans(data, n);
        kmedoid(data, n);
        fcmeans(data, n);
        validity(result, data, param);
        object();
\end{alltt}
\end{mdframed}
\end{document}

On ther other hand, there is also tcolorbox that offer lot more. Here is an example for your case.

\documentclass{article}
\usepackage{alltt,capt-of}
\usepackage{tcolorbox}
\tcbuselibrary{breakable,skins}
\definecolor{light-gray}{gray}{0.95}


\begin{document}
%\begin{table}
\bgroup
\captionof{table}{This is the caption}
\begin{tcolorbox}[width=\linewidth,
    enhanced jigsaw,
    boxrule=0.4pt,
    colframe=black,
    colback=white,%light-gray,  
    breakable,sharpish corners
    ]
\begin{alltt}
\textbf{OOS()}
begin
preprocess the image \emph{m}.
        data\_normalize(\emph{data}, \emph{method});
        kmeans(data, n);
        kmedoid(data, n);
        fcmeans(data, n);
        validity(result, data, param);
        object();
        \textbf{OOS()}
begin
preprocess the image \emph{m}.
        data\_normalize(\emph{data}, \emph{method});
        kmeans(data, n);
        kmedoid(data, n);
        fcmeans(data, n);
        validity(result, data, param);
        object();\textbf{OOS()}
begin
preprocess the image \emph{m}.
        data\_normalize(\emph{data}, \emph{method});
        kmeans(data, n);
        kmedoid(data, n);
        fcmeans(data, n);
        validity(result, data, param);
        object();\textbf{OOS()}
begin
preprocess the image \emph{m}.
        data\_normalize(\emph{data}, \emph{method});
        kmeans(data, n);
        kmedoid(data, n);
        fcmeans(data, n);
        validity(result, data, param);
        object();
        \textbf{OOS()}
begin
preprocess the image \emph{m}.
        data\_normalize(\emph{data}, \emph{method});
        kmeans(data, n);
        kmedoid(data, n);
        fcmeans(data, n);
        validity(result, data, param);
        object();\textbf{OOS()}
begin
preprocess the image \emph{m}.
        data\_normalize(\emph{data}, \emph{method});
        kmeans(data, n);
        kmedoid(data, n);
        fcmeans(data, n);
        validity(result, data, param);
        object();
        \textbf{OOS()}
begin
preprocess the image \emph{m}.
        data\_normalize(\emph{data}, \emph{method});
        kmeans(data, n);
        kmedoid(data, n);
        fcmeans(data, n);
        validity(result, data, param);
        object();\textbf{OOS()}
begin
preprocess the image \emph{m}.
        data\_normalize(\emph{data}, \emph{method});
        kmeans(data, n);
        kmedoid(data, n);
        fcmeans(data, n);
        validity(result, data, param);
        object();
\end{alltt}
\end{tcolorbox}
\egroup


\end{document}