more methodology et al

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Motiejus Jakštys 2021-05-19 22:57:50 +03:00 committed by Motiejus Jakštys
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@ -467,10 +467,11 @@ many cases, corner cases are discussed and clarified.
Assume Euclidean geometry throughout this document, unless noted otherwise.
\subsection{Vocabulary and terminology}
\subsection{Main geometry elements}
\label{sec:vocab}
This section defines vocabulary and terms as defined in the rest of the paper.
This section defines and explains the geometry elements that are used
throughout this paper and the implementation.
\begin{description}
@ -479,22 +480,26 @@ This section defines vocabulary and terms as defined in the rest of the paper.
\item[Line Segment] or \textsc{segment} joins two vertices by a straight
line. A segment can be expressed by two coordinate pairs: $(x_1, y_1)$
and $(x_2, y_2)$. Line Segment and Segment are used interchangeably
throughout the paper.
and $(x_2, y_2)$. Line Segment and Segment are used interchangeably.
\item[Line] or \textsc{linestring}, represents a single linear feature in
the real world. For example, a river or a coastline.
\item[Line] or \textsc{linestring}, represents a single linear feature. For
example, a river or a coastline.
Geometrically, A line is a series of connected line segments, or,
equivalently, a series of connected vertices. Each vertex connects to
two other vertices, except those vertices at either ends of the line:
these two connect to a single other vertex.
\item[Multiline] or \textsc{multilinestring} is a collection of linear
features. Throughout this implementation this is used rarely (normally,
a river is a single line), but can be valid when, for example, a river
has an island.
\item[Bend] is a subset of a line that humans perceive as a curve. The
geometric definition is complex and is discussed in
section~\ref{sec:definition-of-a-bend}.
\item[Baseline] is a line between bend's first and last vertex.
\item[Baseline] is a line between bend's first and last vertices.
\item[Sum of inner angles] TBD.
@ -506,8 +511,8 @@ This section defines vocabulary and terms as defined in the rest of the paper.
For example, given $n$ objects and time complexity of $O(log(n))$, the
time it takes to execute the algorithm is logarithmic to $n$.
Conversely, if complexity is $O(n^2)$, then the time it takes to
execute the algorithm is quadratic depending on the input. Importantly,
if the input size doubles, the time it takes to run the algorithm
execute the algorithm grows quadratically with input. Importantly, if
the input size doubles, the time it takes to run the algorithm
quadruples.
$O$ notation was first suggested by
@ -527,8 +532,7 @@ results have been manually calculated. The test suite executes parts of the
algorithm against a predefined set of geometries, and asserts that the output
matches the resulting hand-calculated geometry.
The full set of test geometries is visualized in
figure~\ref{fig:test-figures}.
The full set of test geometries is visualized in figure~\ref{fig:test-figures}.
\begin{figure}[h]
\centering
@ -537,10 +541,42 @@ figure~\ref{fig:test-figures}.
\label{fig:test-figures}
\end{figure}
The full test suite can be executed with a single command, and completes in a
few seconds. Having an easily accessible test suite boosts confidence that no
The full test suite can be executed with a single command, and completes in
about a second Having an easily accessible test suite boosts confidence that no
unexpected bugs have snug in while modifying the algorithm.
We will explain two instances on when automated tests were very useful during
the implementation:
\begin{itemize}
\item Created a function \texttt{wm\_exaggeration}, which exaggerates bends
following the rules. It worked well over simple geometries, but, due to
a subtle bug, created a self-crossing bend in Visinčia. We copied the
offending bend to the automated test suite and fixed the bug. The test
suite has the bend itself (a hook-like bend on the right-hand side of
figure~\ref{fig:test-figures}) and code to verify that it was correctly
exaggerated.
Later, while adding a feature to exaggeration code, I introduced a
different bug, which was automatically captured by the same bend.
\item During algorithm development, I run automated tests about once a
minute. They quickly find logical and syntax errors. In contrast,
running the algorithm with real rivers takes a few minutes, which is
increases the feedback loop, and takes longer to fix the "simple"
errors.
\end{itemize}
Whenever I find and fix a bug, I aim to create an automated test case for it,
so the same bug is not re-introduced by whoever works next on the same piece of
code.
Besides testing for specific cases, an automated test suite ensures future
stability and longevity of the implementation itself: when new contributors
start changing code, they have higher assurance they have not broken
already-working code.
\subsection{Reproducing generalizations in this paper}
\label{sec:reproducing-the-paper}
@ -560,6 +596,12 @@ Instructions how to re-generate all the visualizations are found in
appendix~\ref{sec:code-regenerate}. The visualization code serves as a good
example reference for anyone willing to start using the algorithm.
\subsection{Implementation workflow}
TODO: list most of the functions defined in the algorithm and draw how they
interact. Similar to "Flow chart of the prototype system" in the original
paper.
\section{Description of the implementation}
Like alluded in section~\ref{sec:introduction}, {\WM} paper skims over