\documentclass[a4paper, 11pt]{article}
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\section{Introduction}

Mtzdump is a CCP4 ``jiffy'' program for extracting MTZ header information
into a human readable form. This class is designed to provide this 
functionality at the Python interface level.

\section{Use Cases}

\subsection{Simple: Display the Contents}

This will need to be able to:

\begin{itemize}
\item{Display the contents of an MTZ file.}
\item{Raise appropriate errors if the input file is not MTZ.}
\item{Ascertain the ``kind'' of mtz file.}
\end{itemize}

Mtzdump has output like:

{
\tiny
\begin{verbatim}
 * Title:

 .

 * Base dataset:

        0 HKL_base
          HKL_base
          HKL_base

 * Number of Datasets = 1

 * Dataset ID, project/crystal/dataset names, cell dimensions, wavelength:

        1 Unspecified
          12287_1_E1
          Unspecified
             51.6515   51.6515  157.6742   90.0000   90.0000   90.0000
             0.97966

 * Number of Columns = 18

 * Number of Reflections = 6199

 * Missing value set to NaN in input mtz file

 * Number of Batches = 10

 * HISTORY for current MTZ file :

 From MOSFLM run on  5/ 6/06 

 * Column Labels :

 H K L M/ISYM BATCH I SIGI IPR SIGIPR FRACTIONCALC XDET YDET ROT WIDTH LP MPART FLAG BGPKRATIOS

 * Column Types :

 H H H Y B J Q J Q R R R R R R I I R

 * Associated datasets :

 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

 * Cell Dimensions : (obsolete - refer to dataset cell dimensions above)

   51.6515   51.6515  157.6742   90.0000   90.0000   90.0000 

 *  Resolution Range :

    0.00036    0.11111     (     52.559 -      3.000 A )

 * Sort Order :

      0     0     0     0     0

 * Space group = 'P43212' (number     96)

 
 
 
 Batch number: 
      1         
 Batch number: 
      2                                                                        

 .... etc ....


\end{verbatim}
}

\noindent
then a small amount of ``overall'' information from the whole of the 
reflection file. This is run as ``mtzdump hklin foo.mtz''.

\section{API}

\subsection{Output Dictionary}

The output dictionary will contain:

\begin{itemize}
\item{column\_labels - the column labels.}
\item{column\_types - the (single character) column types.}
\item{spacegroup - the spacegroup.}
\item{datasets - a list of pname/xname/dname tokens.}
\item{dataset\_info - a dictionary of unit cell and wavelengths associated
with different datasets.}
\end{itemize}

So far the output dictionary looks like:

{
\tiny
\begin{verbatim}
{'dataset_info': {'Unspecified/12287_1_E1/Unspecified': 
{'cell': [51.651499999999999, 51.651499999999999, 157.67420000000001, 
          90.0, 90.0, 90.0], 
 'wavelength': 0.97965999999999998}}, 
'column_labels': ['H', 'K', 'L', 'M/ISYM', 'BATCH', 'I', 'SIGI', 'IPR', 
                  'SIGIPR', 'FRACTIONCALC', 'XDET', 'YDET', 'ROT', 'WIDTH', 
                  'LP', 'MPART', 'FLAG', 'BGPKRATIOS'], 
'datasets': ['Unspecified/12287_1_E1/Unspecified'], 
'column_types': ['H', 'H', 'H', 'Y', 'B', 'J', 'Q', 'J', 
                 'Q', 'R', 'R', 'R', 'R', 'R', 'R', 'I', 'I', 'R'], 
'spacegroup': 'P43212'}
\end{verbatim}
}

\end{document}