jg-you

functions {
  /**
  * Computes the value of a Bernstein polynomial of degree N at point t,
  * using De Casteljau's algorithm.
  *
  * @param t      Point in [0, 1] where the the polynomial will be evaluated.
  * @param beta   Vector of the real N + 1 coefficients of the polynomial.
  * @param N      Degree of the polynomial.
  *
  * @return Value of the polynomial at point t.

jg-you

# -*- coding: utf-8 -*-
"""
Wrapper around dreadnaut that computes the orbits of a graph.

NOTE: Must have installed `dreandaut`. The location of the binary can be passed
      as an argument to `compute_automorphisms`.

Author: Jean-Gabriel Young <[email protected]>
"""
import subprocess

jg-you

#include <iostream>

class master_virtual
{
public: 
    virtual void msg() {return;}
};

class derived_hi : public master_virtual
{

jg-you

# The newest version of graph-tool plots directly in a gtk window, by default. 
# The following allow you to add inline plots in a jupyter-notebook (this was previously trivial).

# [The following code must appear in a notebook, obviously]

import graph_tool as gt
import graph_tool.draw
import graph_tool.collection

import matplotlib.pyplot as plt

jg-you

import matplotlibt.pyplot as plt
import numpy as np

plt.figure(figsize=(5,4))
X, Y = np.meshgrid(np.linspace(0,1), np.linspace(0,1))
plt.pcolormesh(X,Y,graphon_val(X,Y,p,n))
plt.colorbar()

jg-you

import copy
import networkx
import matplotlib.pyplot as plt

# Generate a graph.
# Here I chose an ER graph.
g = nx.erdos_renyi_graph(20, 0.3)

# Get positions.
# Here I use the spectral layout and add a little bit of noise.

jg-you

#!/usr/bin/python3
# -*- coding: utf-8 -*-
# @author: Jean-Gabriel Young <[email protected]>
"""Generate TOC for a markdown file."""
import re

# Match between 1 and 4 #
section = re.compile('^\s*(#){1,4}\s?')
strip_url = re.compile('[\W_]+', re.UNICODE)

jg-you

#!/usr/bin/env python3
# Author: Jean-Gabriel Young
# Email: [email protected]
# -*- coding: utf-8 -*-
import argparse
import subprocess
import os
from PIL import Image

jg-you

collection = [{1, 2, 3, 4, 5},
              {1, 2},
              {1, 2, 3, 4, 5, 6},
              {3, 4, 8},
              {3, 4, 11},
              {3},
              {3},
              {12},
              {1, 2, 3, 4, 5, 6},
              {1, 2, 3, 4, 7, 9},

jg-you

// STL
#include <cstdlib>
#include <iostream>
// boost::mpi
#include <boost/mpi/environment.hpp>
#include <boost/mpi/communicator.hpp>
#include <boost/mpi/status.hpp>
namespace mpi = boost::mpi;
// Definitions
#define NUMBER_OF_JOBS 12