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# 
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PROMPT: TeX 1.1
VERSION: 1.1
DELIMITER: ,
MAXCODE: 6
VALIDINPUTKEY: ^,.?!:;"'/\()[]{}<>$%&@*01234567890123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz
TERMINPUTKEY: 
BEGINCHARACTER

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#include <cmath>
#include <iostream>
#include <numeric>
#include <valarray>
#include <vector>

// Motivated by
// Computing the Minimum-Phase filter using the QL-Factorization
// Hansen, Morten; Christensen, Lars P.b.; Winther, Ole
// https://backend.orbit.dtu.dk/ws/portalfiles/portal/5161145/Hansen.pdf

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// See https://www.cs.cmu.edu/~kmcrane/Projects/MonteCarloGeometryProcessing/

// Random numbers using code at
// https://stackoverflow.com/a/17479300

// A single iteration of Bob Jenkins' One-At-A-Time hashing algorithm.
uint hash( uint x ) {
    x += ( x << 10u );
    x ^= ( x >>  6u );
    x += ( x <<  3u );

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(** User Mathematica initialization file **)

(** See https://reference.wolfram.com/language/tutorial/ConfigurationFiles.html for info on instaling this file **)

(** Display graphics inline in iTerm2. I don't know an easy way to test if we're running in iTerm2 without looking at the process table. **)

imgcat[image_Graphics]:=(
  WriteString[$Output, "\033]1337;File=inline=1:"<>ExportString[ExportString[image,"PNG"],"Base64"]<>"\007"];
  Null
)

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#include <stdlib.h>
#include <stdio.h>
#include <math.h>
#include <time.h>

int bernoulli(float p, float r)
{
  return r > 1 - p;
}

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import math

import numpy as np
import random
import matplotlib.pyplot as plt

medium_size = 1024
x = np.linspace(-1., 1., medium_size)
y = np.linspace(-1., 1., medium_size)
x, y = np.meshgrid(x, y, indexing='ij')

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// Some platforms import from experimental/coroutine
// rather than coroutine.
#define REQUIRES_EXPERIMENTAL 1

// Controls whether the coroutine starts in a suspended state
// or runs to the first suspension point on construction.
// The two implementations should match.
#ifndef INITIAL_RUN
#define INITIAL_RUN 1
#endif

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# From https://www.python-mip.com/
from mip import *

m = Model(sense = MAXIMIZE)

num_slots = 10
num_workers = 5
num_tasks = 3

def slot_to_time(slot):

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Here's a block of code in some imaginary assembly language:

   jmp A
   block1
   jmp A
   block2
   jmp A
   block3
.A ...

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import csv
import math
import matplotlib.pyplot as plt
import locale

def frac(x):
    return x - math.floor(x)

def first_digit(x):
    return int(math.floor(math.pow(10, frac(math.log10(x))) + 0.0001))