dvnoble

#!/usr/bin/env python3

from itertools import permutations
from random import randint

def tournamentTime(person_list):
     """ Computes how much a tournament will last according to the order of
     persons in 'person_list'
     Assumes a person is described as a 3-tuple of positive integers (ts, tb, tr) 
     where:

dvnoble

#!/bin/bash
for GFILE in *.dot;
do
    GNAME="${GFILE%.*}";
    GTYPE=$(head -n 1 $GFILE);
    case "$GTYPE" in
        *digraph*) dot -Teps $GFILE -o "$GNAME.eps";;
        *graph*) neato -Teps $GFILE -o "$GNAME.eps";;
    esac
    ps2pdf -dCompatibilityLevel=1.4 -dEmbedAllFonts=true -dSubsetFonts=true \

dvnoble

#!/bin/bash
# rsvg-convert is inside librsvg2-bin in ubuntu
for SVGFILE in *.svg;
do
	SVGNAME="${SVGFILE%.*}";
	rsvg-convert -f eps -o "$SVGNAME.eps" "$SVGFILE"
	ps2epsi "$SVGNAME.eps"
	ps2pdf -dCompatibilityLevel=1.4 -dEmbedAllFonts=true -dSubsetFonts=true -dEPSCrop "$SVGNAME.epsi" "$SVGNAME.pdf";
done
wait

dvnoble

# Generate auxialiary files
$recorder = 1;

# The output file dir
$out_dir = "./build";

$pdf_mode = 2; # Ensure that dvi and ps file are created (POWERDOT)
#$pdf_mode = 1; # Ensure that pdflatex is used (USUAL)
$view = "pdf"; #

dvnoble

\documentclass[a4paper,11pt]{article}

\usepackage[T1]{fontenc}
\usepackage[utf8]{inputenc}
\usepackage{lmodern}
\usepackage[brazilian]{babel}
\usepackage{microtype}
\usepackage[alf]{abntex2cite}           % adds abnt alfnumeric citation style

\title{Título aqui}

dvnoble

#!/usr/bin/env python3

""" This script converts a graph formatted as an edge list
    to a dot file.    
"""

import argparse

parser = argparse.ArgumentParser(description='Converts an edge list file to a respective graphviz dot file.')
parser.add_argument('--directed', action='store_true', default=False,

dvnoble

graph AFD1 {
    rankdir=LR;
    
    node [color="#1f3656", fontcolor="#1f3656", shape=circle, penwidth=1.5, fontsize=16,nodesep=0.5];
    edge [color="#1f3656", fontcolor="#e54a45", penwidth=1.5, fontsize=16, minlen=1];
    graph [bgcolor=transparent, splines=true];
   
    center = 1;

    //node [shape = doublecircle]; qf;

dvnoble

import networkx as nx
import matplotlib.pyplot as plt

# Generate a random graph with 6 communities
size1= 150
size2= 150
G = nx.stochastic_block_model([size1, size2], [[0.03,0.001],[0.001,0.02]])

node_colors = [ '#01f2ab'] * size1 + ['#f20148'] * size2
node_outline= [ '#01a675'] * size1 + ['#a60131'] * size2