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         #include    <stdio.h>     /////
         #include    <stdlib.h>   //
double x;t,i,m,j,    N=1000000;   //////
main(){for(          ;j<N;j++){   //   //
for(m=9,i=0   ;i<4   ;++i){t=1+   //   //
rand()%6;m=          t<m?t:m; x   //////
+=t;}x-=m;}printf("%f\n",x/N);}

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# Randomness and Certainty
# https://www.lms.ac.uk/sites/default/files/inline-files/NLMS_505_for%20web.pdf#page=24

import matplotlib.pyplot as plt
import numpy as np
from diffrax import diffeqsolve, ODETerm, Dopri5, SaveAt

N = 300

rng = np.random.default_rng(42)

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import polars as pl
import altair as alt

# https://data.sncf.com/explore/dataset/meilleurs-temps-des-parcours-des-trains/information/
DATA_FILE = "meilleurs-temps-des-parcours-des-trains.csv"

# https://en.wikipedia.org/wiki/File:France_TGV.png
LGVs = pl.DataFrame(
    {
        "line": [

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#!/usr/bin/env zsh

exifedit() {
    local title=$(exiftool -T -Title $1)
    local author=$(exiftool -T -Author $1)
    vared -p "Title: " title
    vared -p "Author(s): " author
    exiftool -Author=$author -Title=$title -overwrite_original $1
}

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BC E6 56 29 99 95 AE 27 9F 89 88 8F BC B4 2A 71 44 7F AF 96
72 57 13 DD 08 44 9E A0 13 09 3F D5 AA 06 5E DB E1 EF 14 0B
42 B8 F3 8E 58 F0 FA 7F 7C BD FF AF DB D9 13 3E 5D D4 30 FB
60 CA B4 A1 73 E4 31 B5 B3 0C 85 DD 27 42 4F D0 11 09 28 39
1B 40 7C B1 01 79 52 53 65 65 BE 0F 4A 43 CD D7 A6 FE 7F 51
25 AB CC 20 F9 CC 7F 3B 4F 22 9C 72 F5 FE F9 BF A5 58 1F C7
EA B2 E4 F8 72 7B 80 A2 D7 C1 4F 46 D1 5E FA AB 12 40 82 7E
52 BF 4D 37 C6 5F 3D EF 56 11 D2 69 A4 02 0D 58 11 A7 9E 06
F6 B2 60 AF 83 08 4E 11 71 27 60 6F 9E 0A D3 19 20 F6 A3 40
B7 26 1B 3A 18 FE E3 3C FB DA 7E 78 CA 49 F3 FE 14 86 53 E9

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⎕io←0

⍝ Stencil uses zero boundaries
r30←{(7-2⊥⍵)⌷(8⍴2)⊤30}⌺3
⍝ Other version, slightly shorter but less legible
r30←{⊃30⊤⍨2⍴⍨1+2⊥⍵}⌺3

⍝ Single alive cell initialization
init←(30⍴0),1,30⍴0
' █'[↑{(r30⍣⍵)init}¨⍳30]

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from __future__ import print_function, division, unicode_literals
import json

import numpy as np
import emoji
from flask import Flask
from flask import request

from torchmoji.sentence_tokenizer import SentenceTokenizer
from torchmoji.model_def import torchmoji_emojis

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#!/usr/bin/awk -f

BEGIN {
    FS = "\t";
}

$2 ~ "^" ARGV[2] "$" {
    count++;
    if (count > 10)
	exit;

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using ProgressMeter
using Plots
plotly(size=(500,500))

function updatesandpile!(d, i, j)
    n = get(d, (i,j), 0)
    if n >= 4
        d[(i-1,j)] = get(d, (i-1,j), 0) + 1
        d[(i+1,j)] = get(d, (i+1,j), 0) + 1
        d[(i,j-1)] = get(d, (i,j-1), 0) + 1

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using LinearAlgebra
using Distributions
using Plots
plotly()

m(x) = 0.25*x^2
k(x,y) = exp(-0.5 * (x-y)^2)

xmin = -5
xmax = 5