IndianBoy42

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MMMMMMMMMMMMMMMMMMMMMMMMMMMMMMWo     ........       .xNMMMMMMMMMMMMMMMMMMMMMMMMM
MMMMMMMMMMMMMMMMMMMMMMMMMMMMMO.   ................     oNMMMMMMMMMMMMMMMMMMMMMMM
MMMMMMMMMMMMMMMMMMMMMMMMMMMMx   .....................    dMMMMMMMMMMMMMMMMMMMMMM
MMMMMMMMMMMMMMMMMMMMMMMMMMMd   ........................   ;WMMMMMMMMMMMMMMMMMMMM
MMMMMMMMMMMMMMMMMMMMMMMMMMk   ..........................   .NMMMMMMMMMMMMMMMMMMM
MMMMMMMMMMMMMMMMMMMMMMMMMO   .............................  ;WMMMMMMMMMMMMMMMMMM

IndianBoy42

import numpy as np
from numba import jit, int32
from numpy.random import default_rng

rng = default_rng()


def startHands(numplayers, cards=4):
    return np.stack((cards * np.ones((numplayers,)), np.ones((numplayers,))))

IndianBoy42

use ndarray::{azip, par_azip, s, Array, Array1, Axis, IntoNdProducer};

use std::ops::{DivAssign, MulAssign, SubAssign};

pub fn gauss_elim_rust(N: usize, M: usize, A: &mut [f32], B: &mut [f32]) {
    assert_eq!(A.len(), N * N);
    assert_eq!(B.len(), N * M);
    for k in 0..(N - 1) {
        let akk = A[k * N + k];

IndianBoy42

#include "gausselim.hpp"

#define A(I, J) (A_[I * N + J])
#define B(I, J) (B_[I * M + J])
void gauss_elim(int N, int M, float* restrict A_, float* restrict B_) {
	for (int k = 0; k < N - 1; k++) {
		for (int i = k + 1; i < N; i++) {
			A(i, k) /= A(k, k);
		}

IndianBoy42

use ndarray::{Axis, IntoNdProducer, azip, par_azip, s};

use std::ops::{DivAssign, SubAssign, MulAssign};

pub fn gauss_elim(mut A: ndarray::ArrayViewMut2<f32>, mut B: ndarray::ArrayViewMut2<f32>) {
    assert_eq!(A.nrows(), B.nrows());
    assert_eq!(A.nrows(), A.ncols());

    let N = A.nrows();
    let M = B.ncols();

IndianBoy42

cmake_minimum_required(VERSION 3.19)

project(PROJ1)
set(CMAKE_CXX_STANDARD 20)
set(CMAKE_C_STANDARD 11)
set(CMAKE_C_STANDARD_REQUIRED True)
set(CMAKE_CXX_STANDARD_REQUIRED True)
set(CMAKE_CXX_EXTENSIONS ON)
set(CMAKE_C_EXTENSIONS ON)

IndianBoy42

#include <stdarg.h>
#include "oled.h"

#define FONT_WIDTH 5
#define FONT_HEIGHT 8

#include "oled_font.h"

#define RES_128X64
#ifdef RES_128X64

IndianBoy42

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

import simpsons_paradox_data as simp_para_data

def run():
    print(bernoulli(0.6))

IndianBoy42

//Server implemented as Trait to allow various forms of handling
pub trait Server
	where Self: Send {
	fn get_response(&self, &String) -> Option<String>; //Takes a message and returns a response
	fn acceptor(&self) -> TcpAcceptor;

	fn new(address: &str) -> Self;

	fn start(&self) {
		for stream in self.acceptor().incoming() {