cberzan

# Supporting code for this blog article:
# https://thirld.com/blog/2018/05/17/linear-algebra-solves-a-childhood-mystery/
#
# License: public domain.

import itertools
import numpy as np


def pretty_print_matrix(name, M):

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#!/usr/bin/env python

# Find anagram groups in the given dictionary file.
#
# Example usage: ./anagrams.py /usr/share/dict/words
#
# The input file must have one word per line. We do not do any
# preprocessing, like lowercasing or removing punctuation.
#
# The output (stdout) contains one anagram group per line.

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//////////////////////////////////////////////////////////////////////////////
// Dynamics model:

// Car parameters:
random Real car_a ~ DontCare();
random Real car_b ~ DontCare();
random Real car_h ~ DontCare();
random Real car_L ~ DontCare();

// Initial car pose:

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# Utils for handling files in ~/Downloads:

DOWNLOADS_DIR="$HOME/Downloads"

function lsdl() {
    ls --color -1 -t "$DOWNLOADS_DIR" |head |nl
}

function cpdl() {
    if [ "a$1" == 'a-h' ] || [ "a$1" == 'a--help' ]; then

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import com.cra.figaro.language._
import com.cra.figaro.library._
import com.cra.figaro.library.compound._
import com.cra.figaro.algorithm.sampling._

import scala.math


object Node extends Enumeration {
  type Node = Value

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../example/galaxy.blog
../example/galaxy.blog::108.7: Number expression expecting implicit set

../example/infinite-GMM.blog
java.lang.IllegalArgumentException: The mean given is not a valid row vector. It has dimensions 2 by 1. at blog.distrib.MultivarGaussian.setParams(MultivarGaussian.java:89) at blog.distrib.MultivarGaussian.setParams(MultivarGaussian.java:70) at blog.model.DistribSpec.initCPD(DistribSpec.java:260) at blog.model.DistribSpec.compile(DistribSpec.java:192) at blog.model.DependencyModel.compile(DependencyModel.java:202) at blog.model.RandomFunction.compile(RandomFunction.java:127) at blog.model.Model.compile(Model.java:531) at blog.Main.setup(Main.java:472) at blog.Main.main(Main.java:152) Error initializing CPD at 21: couldn't instantiate class class blog.distrib.MultivarGaussian Encountered 1 errors in compilation phase.

../example/aircraft-position.blog
../example/aircraft-position.blog::26.7: Number expression expecting implicit set (no location): Symbol "B1" is neither a variable in th

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Error Examples
../example/galaxy.blog
../example/infinite-GMM.blog
../example/aircraft-position.blog
../example/solutions/simple-aircraft.blog
../example/sybil-attack-exp3.blog
../example/general-fixed-fun.blog
../example/balls/id-uncert-det.blog
../example/balls/id-uncert-noisy.blog
../example/multivar-gaussian-random-params/random-mu-fixed-sigma.blog

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//////////////////////////////////////////////////////////////////////////////
// BLOG use case: Want some burn-in samples at the beginning of the run.

model = new Model.fromFile("burglary.blog")
evidence = new Evidence()
evidence.addFromFile("burglary.evi")
queries = new List()
sampler = new blog.sample.MHSampler(model, evidence, queries)
engine = new blog.engine.SamplingEngine(sampler)
// Burn-in: Since no queries are set yet, no results are recorded.

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import java.util.Random;

public class Benchmark {
  public Benchmark() {
    rng = new Random();
    hasLower = false;
    hasUpper = false;
  }

  public void setParams(Double lower, Double upper) {

cberzan

Keybase proof

I hereby claim:

• I am cberzan on github.
• I am cberzan (https://keybase.io/cberzan) on keybase.
• I have a public key whose fingerprint is FEEB 0FF1 D39A 1323 C732 323A D712 8D28 B3D8 0DA1

To claim this, I am signing this object: