nesteruk

#%%
from math import *
import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(0, 10, 1001)
f = lambda z: z * sin(z)
y = np.sin(x) * x
#plt.plot(x, y)

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nesteruk

#define _USE_MATH_DEFINES

#include <iostream>
#include <cmath>
#include <array>
#include <chrono>

#include <immintrin.h>
#include <random>

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#define _USE_MATH_DEFINES

#include <iostream>
#include <cmath>

#include <immintrin.h>

// Standard normal probability density function
double norm_pdf(const double& x) {
  return (1.0 / (pow(2 * M_PI, 0.5))) * exp(-0.5 * x * x);

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#[derive(Debug)]
struct Person
{
  name: String,
  position: String
}

impl Default for Person
{
  fn default() -> Self {

nesteruk

using System;
using System.ComponentModel;
using System.Linq.Expressions;
using System.Reflection;
using System.Runtime.CompilerServices;
using DotNetDesignPatternDemos.Annotations;

namespace DotNetDesignPatternDemos.Behavioral.Observer.Bidirectional
{
  public class Product : INotifyPropertyChanged

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using System;
using System.Collections;
using System.Collections.Generic;
using System.ComponentModel;
using System.Linq;
using System.Reflection;
using System.Text;

namespace PatternDemoCore

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using System;
using System.Collections;
using System.Collections.Generic;
using System.Linq;
using System.Reflection;
using Autofac;

namespace DotNetDesignPatternDemos.Behavioral.Observer.ContainerWireup
{
  public interface IEvent {}

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using System.Collections;
using System.Collections.Generic;

namespace DotNetDesignPatternDemos.Structural.Proxy
{
  class Creature
  {
    public byte Age;
    public int X, Y;
  }

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using System;
using System.Linq;

namespace DotNetDesignPatternDemos.Structural.Proxy.Composite
{
  // todo: publish
  public class MasonrySettings
  {
    //public bool? All
    //{