usptact

System: MacOS Sonoma 14.1.2

First, try to unplug and plug back the Yubikey.

Second, try rebooting the system.

Make sure `opensc` package is up to date. I am using Macports to install utilities/libraries and other command-line utils.
```
$ sudo port upgrade opensc
```

usptact

$ find . -maxdepth 1 -type d \( ! -name . \) -exec bash -c "cd '{}' && git pull" \;

usptact

How to convert private key to WIF

0. Overview

WIF = base58check encode ([version byte][private key][checksum])

version byte = 80 for mainnet, ef for testnet and regtest

checksum = first 4 bytes of double SHA256 of private key

usptact

using Microsoft.ML.Probabilistic.Math;
using Vector = Microsoft.ML.Probabilistic.Math.Vector;

class Program
{
    static void Main(string[] args)
    {
        Vector x = Vector.FromArray(new double[] { 0, 1 });
        //Vector x = new Vector();
        //Vector mean = new Vector(new double[] { 0.1, 1.1 });

usptact

// Two balls in the bag:
// (1) fifty/fifty red (true) or green (false)
// (2) 100% red
//
// Process:
// - pull out the first ball and observe it is red
// - Question: what is the probability the remaining ball is red too?

var model = function() {
  var b1 = flip(0.5)

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import java.io.IOException;
import javax.servlet.ServletException;
import javax.servlet.annotation.WebServlet;
import javax.servlet.http.HttpServlet;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;

@WebServlet(name = "HelloServlet", urlPatterns = {"hello"}, loadOnStartup = 1) 
public class HelloServlet extends HttpServlet {
    protected void doGet(HttpServletRequest request, HttpServletResponse response)

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Note: these instructions are for pre-Sierra MacOS. Sierra and newer users see https://gist.github.com/gravitylow/fb595186ce6068537a6e9da6d8b5b96d by @gravitylow.

If you are getting this in gdb on OSX while trying to run a program:

Unable to find Mach task port for process-id 57573: (os/kern) failure (0x5).
 (please check gdb is codesigned - see taskgated(8))

usptact

using System;
using Microsoft.ML.Probabilistic.Models;

namespace twodice
{
    class Program
    {
        static void Main(string[] args)
        {
            Variable<int> six = Variable.DiscreteUniform(6);

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//
// Zoo: Infer prevalence of 3 animals after a zoo visit
//
// Observed: 3 lions, 2 tigers and 1 bear
//
// Questions:
// - Prevalence of each species
// - Probability of seeing a bear next time
//

usptact

//
// Game of Ur
//

var roll = function() {
	return flip() + flip() + flip() + flip();
}

var game = function() {
	var n = sample(RandomInteger({n: 20}));