public void ReadTeXSubfigures()
{
// Need to plumb in subcaptions.
string text = @"\begin{figure}%[ht!]
\subfigure[]
{
\includegraphics[width=.45\textwidth]{SpectralClustering1.pdf}
}
\qquad
\subfigure[]
{
\includegraphics[width=.45\textwidth]{SpectralClustering2.pdf}
}
\subfigure[]
{
\includegraphics[width=.45\textwidth]{SpectralClustering3.pdf}
}
\qquad
\subfigure[]
{
\includegraphics[width=.45\textwidth]{SpectralClustering4.pdf}
}
\caption[Spectral clustering in two dimensions using ratios as similarity function.]
{results of spectral clustering when applied to usable data set using similarity matrix,
$A$, defined in equation \eqref{eq:specClustRatio} to define the similarity function. The
graphs show the eigenvectors that correspond to the two lowest eigenvalues. the different
colours and marker styles represent different clusters.
}
\label{fig:specClust2d}
\end{figure}";
Diagram d = new Diagram(text);
Dictionary<string, List<string>> caption = new Dictionary<string, List<string>>();
caption.Add(@"results of spectral clustering when applied to usable data set using similarity matrix, $A$, defined in equation \eqref{eq:specClustRatio} to define the similarity function. The graphs show the eigenvectors that correspond to the two lowest eigenvalues. the different colours and marker styles represent different clusters.", new List<string>());
caption[@"results of spectral clustering when applied to usable data set using similarity matrix, $A$, defined in equation \eqref{eq:specClustRatio} to define the similarity function. The graphs show the eigenvectors that correspond to the two lowest eigenvalues. the different colours and marker styles represent different clusters."].Add("Spectral clustering in two dimensions using ratios as similarity function.");
Assert.AreEqual(d.Label[0], "fig:specClust2d");
Assert.AreEqual(d.Files[0].FullName, new FileInfo("SpectralClustering1.pdf").FullName);
Assert.AreEqual(d.Files[1].FullName, new FileInfo("SpectralClustering2.pdf").FullName);
Assert.AreEqual(d.Files[2].FullName, new FileInfo("SpectralClustering3.pdf").FullName);
Assert.AreEqual(d.Files[3].FullName, new FileInfo("SpectralClustering4.pdf").FullName);
Assert.AreEqual(d.Caption, caption);
}
public void ReadTeXFigure()
{
string text = @"\begin{figure}%[H] % Direct comparison between PAS2050 and @UK footprints.
\includegraphics[width=\textwidth]{directCompare.pdf}\makeatletter
\caption[Direct comparison between PAS2050 and @UK footprints.]
{Plot of @UK carbon footprints against PAS2050 carbon footprint of a product. Line of best fit,
calculated using linear regression, is plotted for reference.}\makeatother
\label{fig:directCompare}
\end{figure}";
Diagram d = new Diagram(text);
Dictionary<string, List<string>> caption = new Dictionary<string, List<string>>();
caption.Add("Plot of @UK carbon footprints against PAS2050 carbon footprint of a product. Line of best fit, calculated using linear regression, is plotted for reference.", new List<string>());
caption["Plot of @UK carbon footprints against PAS2050 carbon footprint of a product. Line of best fit, calculated using linear regression, is plotted for reference."].Add("Direct comparison between PAS2050 and @UK footprints.");
Assert.AreEqual(d.Label[0], "fig:directCompare");
Assert.AreEqual(d.Files[0].FullName, new FileInfo("directCompare.pdf").FullName);
Assert.AreEqual(d.Caption, caption);
}
