2025-refactor

.gitignore

@@ -5,3 +5,5 @@ node_modules/*
 *.log
 *.out
 *.pdf
+*.fdb_latexmk
+*.fls

Makefile

@@ -26,9 +26,12 @@ fastTR:
 
 pdf:
 	make pdfDLT
+	make openDLT
 open:
 	make openDLT
 
-
 pdf-authors:
 	pdflatex  $(authors).tex
+
+ss: 
+	./parse_latex_structure.sh $(fName).tex

includes/macros.tex

@@ -37,12 +37,7 @@
     \fbox{\bfseries\sffamily\scriptsize#1}
     {\sf\small$\blacktriangleright$\textit{#2}$\blacktriangleleft$}
 }
-\newcommand{\ap}[1]{\nnbb{\textcolor{blue}{Ant}}{\textcolor{blue}{#1}\xspace}}
-\newcommand{\Oracle}[0]{Gas Oracle\xspace}
-\newcommand{\Oracles}[0]{Gas Oracles\xspace}
-\newcommand{\miro}[0]{Mir{\'{o}}\xspace}
-\newcommand{\gr}{graphical representation\xspace}
-\newcommand{\M}{Miró\xspace}
+\newcommand{\todo}[1]{\nnbb{\textcolor{blue}{ToDo}}{\textcolor{blue}{#1}\xspace}\\}
 
 % Define a custom color scheme
 \definecolor{codebackground}{rgb}{0.75,0.99,0.99} % Light gray background
@@ -67,3 +62,18 @@
     tabsize=4,                              % Tab width
     language=Python                         % Specify Python as the language
 }
+
+\lstdefinestyle{clean}{
+  backgroundcolor=\color{gray!5},
+  basicstyle=\ttfamily\small,
+  frame=single,
+  rulecolor=\color{gray!50},
+  numbers=left,
+  numberstyle=\tiny\color{gray},
+  keywordstyle=\color{blue!70!black}\bfseries,
+  commentstyle=\color{gray!70}\itshape,
+  stringstyle=\color{teal!60!black},
+  breaklines=true,
+  showstringspaces=false,
+  captionpos=b
+}

main.tex

@@ -14,135 +14,68 @@
 % https://easychair.org/cfp/DLT-2022
 % \title{A comparison between \\Libra/Diem and other Blockchains}
 % \title{Comparative Study on Libra, Ethereum and Solana Blockchain}
-\title{A Study on \dots}
+\title{Your Paper Title Here \dots}
 
 \author{
     \IEEEauthorblockN{Giuseppe Antonio Pierro}
     \IEEEauthorblockA{
         \textit{Dep. of Mathematics and Computer Science} \\
         \textit{University of Cagliari}\\
         Cagliari, Italy\\
-        antonio.pierro@gmail.com
+        giuseppea.pierro@unica.it
     }
 }
 \maketitle
 
-% The Libra Blockchain, 2020-05-26.pdf
-
+%================ ABSTRACT ================
 \begin{abstract}
-% TODO the abstract should be shorter
-This research paper aims to analyze the Airbnb dataset, focusing on various factors that influence prices of listings. 
-The dataset encompasses key features such as price, room type, person capacity, host characteristics, cleanliness rating, and geographical attributes. 
-The study poses the research question: "What are the factors that influence the price and location of Airbnb listings?" 
-The author postulates that the pricing is significantly influenced by the distance from the center.
-
+\todo{It should summarize the whole paper concisely while highlighting novelty and results.}
 \lipsum[1]
 \end{abstract}
 
+%================ KEYWORDS ================
 \begin{IEEEkeywords}
-Airbnb, location price, geographical attribute
+  \todo{List 3–5 keywords describing your work (e.g., deep learning, forecasting, metaheuristics, healthcare analytics).}
 \end{IEEEkeywords}
 
-%:================================
+%================ INTRODUCTION ================
 \section{Introduction}
-The rise of Airbnb~\cite{andreu2020airbnb} has transformed the hospitality industry, allowing individuals to rent accommodations. 
-Understanding the determinants of pricing and location is crucial for both hosts and guests. 
-This paper explores the dataset to uncover insights into the factors shaping Airbnb prices and locations.
-
-\lipsum[2-3]
-
-\lipsum[3-4]
 
-\lipsum[5-6]
-
-\section{Dataset Description}
-The Airbnb dataset consists of several columns, including price, room type, person capacity, host characteristics, cleanliness rating, and geographical attributes \cite{bathwal2024flightprice}. 
-These variables provide a comprehensive view of the listings and their characteristics.
-
-The mean, the median, minimum (min), the 25th, 50th, and 75th percentiles and maximum (max) are calculated for each variable shown in the table.
-
-\begin{table*}[!htp]
-  \centering
-  \caption{Generated by Spread-LaTeX}\label{tab:spread_latex}
-  \resizebox{\textwidth}{!}{%
-  \begin{tabular}{p{0.2\textwidth}p{0.8\textwidth}}
-  \toprule
-  \textbf{Name} & \textbf{Description} \\
-  \midrule
-  realSum & Represents the total price or sum associated with the Airbnb listing. \\
-  room\_type & Indicates the type of room, such as "Entire home/apt" or "Private room." \\
-  room\_shared & Binary indicator (True/False) if the room is shared. \\
-  room\_private & Binary indicator (True/False) if the room is private. \\
-  person\_capacity & Specifies the maximum number of people the accommodation can host. \\
-  host\_is\_superhost & Binary indicator (True/False) if the host is recognized as a superhost. \\
-  multi & Binary indicator (True/False) if the listing is part of a multi-listing. \\
-  biz & Binary indicator (True/False) if the listing is associated with a business. \\
-  cleanliness\_rating & Represents the cleanliness rating of the accommodation. \\
-  guest\_satisfaction\_overall & Represents the overall guest satisfaction rating. \\
-  bedrooms & Specifies the number of bedrooms in the accommodation. \\
-  dist & Represents the distance to a certain location or point of interest. \\
-  metro\_dist & Represents the distance to a metro or subway station. \\
-  attr\_index & Represents an attraction index, possibly related to nearby attractions. \\
-  attr\_index\_norm & Normalized version of the attraction index. \\
-  rest\_index & Represents a restaurant index, possibly related to nearby restaurants. \\
-  rest\_index\_norm & Normalized version of the restaurant index. \\
-  lng & Represents the longitude coordinate of the accommodation. \\
-  lat & Represents the latitude coordinate of the accommodation. \\
-  \bottomrule
-  \end{tabular}%
-  }
-\end{table*}
-
+\subsection{Brief motivation and context}
+\todo{Explain why this topic matters and what real-world or theoretical problem motivates your work.}
 \lipsum[1]
 
-
-
-
-\lipsum[2-3]
-
-\section{Research Questions}
-The primary research question addressed in this study is: "What are the factors that influence the price and location of Airbnb listings?" 
-This overarching question will guide the exploration of various aspects within the dataset.
-
-\lipsum[2]
-
-This study aims to explore the patterns and relationships within the Los Angeles Airbnb dataset. Specifically, it seeks to address the following research questions:
+\subsection{Main contributions}
+\todo{List 2–4 clear, concise bullet points summarizing what this paper contributes.}
 \begin{itemize}
-    \item \textbf{RQ\_1}: What patterns exist in the data regarding property types, pricing, and availability across different neighborhoods in Los Angeles?
-    \item \textbf{RQ\_2}: How do key variables such as price and property location interact to influence occupancy rates?
-    \item \textbf{RQ\_3}: What factors most significantly impact customer ratings and reviews, and how do they correlate with host behavior or property characteristics?
+  \item \todo{First contribution}
+  \item \todo{Second contribution}
 \end{itemize}
+\lipsum[1]
 
-\lipsum[3]
 
-\section{Research Hypotheses}
-Based on initial observations, a hypothesis is proposed that the distance from the city center significantly influences Airbnb pricing. 
-It is hypothesized that listings closer to the center command higher prices due to factors such as proximity to attractions, events, and better infrastructure.
 
-\begin{itemize}
-  \item \textbf{RH\_1\_0}: There are no significant patterns in the data regarding property types, pricing, and availability across different neighborhoods in Los Angeles.  
-  \item \textbf{RH\_1\_A}: Significant patterns exist in the data regarding property types, pricing, and availability across different neighborhoods in Los Angeles.  
+%================ RELATED WORK ================
+\section{Related Work and Background}
+\todo{Summarize relevant prior studies and approaches. Highlight what they achieve and where they fall short. Emphasize how your method differs or improves upon them.}
 
-  \item \textbf{RH\_2\_0}: There is no significant interaction between key variables such as price and property location in influencing occupancy rates.  
-  \item \textbf{RH\_2\_A}: Key variables such as price and property location significantly interact to influence occupancy rates.  
+%================ DATASET + METHODOLOGY ================
+\section{Dataset and Methodology}
 
-  \item \textbf{RH\_3\_0}: Factors such as customer ratings and reviews are not significantly correlated with host behavior or property characteristics.  
-  \item \textbf{RH\_3\_A}: Factors such as customer ratings and reviews are significantly correlated with host behavior or property characteristics.  
-\end{itemize}
+\subsection{Dataset description}
+\todo{Describe the dataset(s): source, size, variables, preprocessing steps, and any relevant ethical aspects.}
+\lipsum[1]
 
-\lipsum[2-3]
 
-\section{Results}
-\lipsum[2-3]
-Table~\ref{tab:df-statitistics} shows the summary statiticst of Airbnb dataset. 
-\begin{figure}[ht]
-  \centering
-  \includegraphics[width=\columnwidth]{figures/price-vs-distance-paris.png}
-  \caption{Box plot representing the price based on the distance from the metro for the city of Paris}
-  \label{fig:box-plot-paris}
-\end{figure}
+\subsection{Experimental setup}
+\todo{Describe tools, frameworks, model parameters, and evaluation metrics used in your experiments.}
 \lipsum[1]
 
+%================ RESULTS AND DISCUSSION ================
+\section{Results and Discussion}
+
+\subsection{Quantitative results}
+\todo{Present main results (tables, figures). Include accuracy, error, or performance metrics.}
 Figure \ref{fig:fig2} \lipsum[1]
 
 \begin{table}[ht]
@@ -173,41 +106,27 @@ \section{Results}
 \end{figure*}
 \lipsum[1]
 
-Figure \ref{fig:heat-map} \lipsum[1]
-\begin{figure}[ht]
-  \centering
-  \includegraphics[width=\columnwidth]{figures/heat-map.jpg}
-  \caption{Box plot representing the price based on the distance from the metro for the city of Paris}
-  \label{fig:heat-map}
-\end{figure}
-
-\section{Discussion}
-The discussion section will delve into the findings related to the research questions and hypotheses. 
-It will explore the correlation between distance from the center and pricing, considering potential confounding variables. 
-Additionally, it will analyze how other variables such as room type, host superhost status, and cleanliness rating impact pricing and location.
 
+\subsection{Comparison and interpretation}
+\todo{Compare with baselines or state-of-the-art methods. Discuss why your approach performs better or differently.}
 \lipsum[1]
 
-\lipsum[2]
-
-\lipsum[3-4]
-
-\section{Conclusion}
-In conclusion, this research contributes valuable insights into the factors influencing Airbnb prices and locations. 
-The analysis sheds light on the importance of geographic proximity to the center and other variables in determining listing prices. 
-These findings can benefit both hosts and guests in making informed decisions within the Airbnb marketplace.
-
-This research provides a foundation for further exploration and understanding of the dynamic factors at play in the Airbnb ecosystem.
 
+%================ CONCLUSION ================
+\section{Conclusion and Future Work}
+\todo{Summarize key findings and contributions. Suggest possible future extensions or applications. Keep it concise (5–6 sentences).}
 \lipsum[1]
 
+
+%================ Authors ================
 \section{authors}
-\subsection{Giuseppe Antonio Pierro}
-Giuseppe Antonio Pierro obtained his Ph.D. in Physics from the University of Bari and CERN, Geneva~\cite{cern},
-and his Ph.D. in Mathematics and Computer Science from the University of Cagliari and Inria, Lille. 
-Prior to that, \lipsum[1]
+\subsection{Antonio Pierro}
+\lipsum[1]
 
-\section{Appendix}
+%================ APPENDIX (OPTIONAL) ================
+\appendix
+\section{Supplementary Material}
+\todo{Optional: include additional tables, Code, or proofs that support your main text.}
 
 The analysis on the dataset was conducted using the Python programming language~\cite{rayhanrise, van1995python} and some of its libraries. 
 The Python libraries utilized include matplotlib~\cite{Hunter:2007}, pandas, and numpy.
@@ -216,7 +135,7 @@ \section{Appendix}
 
 Listing \ref{mylist2} \dots.
 
-\begin{lstlisting}[style=inferno, label={mylist2}, caption={Recursive Factorial Function}, linewidth=\columnwidth]
+\begin{lstlisting}[style=clean, label={mylist2}, caption={Recursive Factorial Function}, linewidth=\columnwidth]
   # This is a sample Python code
   def greet(name):
       """Function to greet a user"""
@@ -231,7 +150,7 @@ \section{Appendix}
 
 
 Listing \ref{mylist3} \lipsum[1]
-\begin{lstlisting}[style=inferno , label={mylist3}, caption={Recursive Factorial Function}, linewidth=\columnwidth] 
+\begin{lstlisting}[style=clean , label={mylist3}, caption={Recursive Factorial Function}, linewidth=\columnwidth] 
 import kagglehub
 
 # Download latest version

parse_latex_structure.sh

@@ -0,0 +1,54 @@
+#!/bin/bash
+
+# Recursively parse a LaTeX file and all its \input{} dependencies for section structure
+parse_file() {
+    local file="$1"
+    # Remove possible .tex extension for \input{} compatibility
+    local basefile="${file%.tex}"
+    # If file does not exist, try adding .tex
+    if [ ! -f "$file" ]; then
+        if [ -f "$basefile.tex" ]; then
+            file="$basefile.tex"
+        else
+            echo "File $file not found."
+            return
+        fi
+    fi
+    # Read file line by line
+    while IFS= read -r line; do
+        # If line is an \input{...}, recursively parse the included file
+        if [[ $line =~ \\input\{([^}]*)\} ]]; then
+            included_file="${BASH_REMATCH[1]}"
+            # Recursively parse the included file
+            parse_file "$included_file"
+        fi
+        # Print section, subsection, subsubsection lines for later processing
+        if [[ $line =~ \\section\{.*\} ]] || [[ $line =~ \\subsection\{.*\} ]] || [[ $line =~ \\subsubsection\{.*\} ]]; then
+            echo "$line"
+        fi
+    done < "$file"
+}
+
+# Check if a file is provided as an argument
+if [ $# -eq 0 ]; then
+    echo "Usage: $0 <file.tex>"
+    exit 1
+fi
+
+# Start recursive parsing and pipe to awk for formatting
+parse_file "$1" | awk '
+{
+    if ($0 ~ /\\section\{/) {
+        title = substr($0, index($0, "{") + 1)
+        title = substr(title, 1, length(title) - 1)
+        printf "[Section] %s\n", title
+    } else if ($0 ~ /\\subsection\{/) {
+        title = substr($0, index($0, "{") + 1)
+        title = substr(title, 1, length(title) - 1)
+        printf "  [Subsection] %s\n", title
+    } else if ($0 ~ /\\subsubsection\{/) {
+        title = substr($0, index($0, "{") + 1)
+        title = substr(title, 1, length(title) - 1)
+        printf "    [Subsubsection] %s\n", title
+    }
+}'