brandones

function X = graph_pca(A, k)
  % A: the adjacency matrix of a graph
  % k: the number of dimensions to reduce to
  %
  % Calculates the ECTD-preserving PCA of the graph given by A.
  % See http://outobox.cs.umn.edu/PCA_on_a_Graph.pdf for background.
  L = diag(sum(A)) - A;
  Lp = pinv(L);
  [U, E] = eigs(Lp, k);
  X = E.^(1/2) * U';

brandones

import networkx as nx
import numpy
import scipy.io
import scipy.linalg
import scipy.sparse.linalg
from scipy.sparse.linalg.eigen.arpack.arpack import ArpackNoConvergence


def reduce_from_matlab(mat_path, output_dim):
    mat = scipy.io.loadmat(mat_path)

brandones

#!/usr/bin/python
#
# Placed at /usr/local/bin/python
# Expects pylint executable at /usr/bin/pylint
#

import os
import sys

def get_python_exec():

brandones

1;  % script file

function res = deleted_pivot(M, i, j)
    % Calculates the deleted pivot of matrix M at row i, column j
    % as described by Greg Kuperberg in "Kasteleyn cokernels"

    % X = the jth column of M with element i removed
    X = [M(:,j)(1:i-1); M(:,j)(i+1:end)];
    % Yt = the ith row of M with element j removed
    Yt = [M(i,:)(1:j-1), M(i,:)(j+1:end)];

brandones

#! /usr/bin/env jython 
#
# Based on https://gist.github.com/shapr/507bcbf3e8cfdc5d3549
#
# Install prereqs:
# sudo apt-get install jython libcommons-logging-java libcommons-lang-java
#
# Put the following jars into the same directory as this file:
# jackcess: https://sourceforge.net/projects/jackcess/files/
# jackcess-encrypt: https://sourceforge.net/projects/jackcessencrypt/files/

brandones

#!/bin/bash
# Put this file in ~/.local/share/nautilus/scripts/
# Remember to `chmod +x` it

IFS='
'
for file in ${NAUTILUS_SCRIPT_SELECTED_FILE_PATHS}
do
    if [[ $file == *.cloud ]] || [[ $file == *.cloudf ]]
    then

brandones

#!/bin/bash
#
# Extracts the Roxygen package documentation from each script file in the 
# package root directory and appends it to README.md
#
# Documentation that you want included should start on the second line of the script

OUTFILE="README.md"

r_files=( *.R )

brandones

Example config:

foo: {
  bar: 0,
  baz: {
    qux: "abc",
    quy: "xyz"
  }
}

brandones

// Example 1: Array of primitives

// input
foo: [2, 42, 99]

// schema
{
  foo: {
    default: [1, 1, 2, 3],
    arrayElements: {

brandones

#!/usr/bin/env python3

import argparse
import re


def main(lang):
    en_strings = properties_to_dict(read_file("en"))
    t_strings = properties_to_dict(read_file(lang))
    translated = {k: t_strings[k] for k in t_strings if en_strings[k] != t_strings[k]}