## 40.1 Specimen

### 40.1.1 R

``````"Il1|" >= "0Oo"

library("ggplot2")
library("ggsci")

data("diamonds")

p <- ggplot(
subset(diamonds, carat > 2.2 & depth > 55 & depth < 70),
aes(x = depth, fill = cut)
) +
geom_histogram(colour = "black", binwidth = 1, position = "dodge") +
theme_bw()

p + scale_fill_rickandmorty()``````

### 40.1.2 Python

``````import cvxpy as cp
import numpy as np

m = 20
n = 15
np.random.seed(1)
A = np.random.randn(m, n)
b = np.random.randn(m)

x = cp.Variable(n)
cost = cp.sum_squares(A @ x - b)
prob = cp.Problem(cp.Minimize(cost))
prob.solve()

print("\nThe optimal value is", prob.value)
print("The norm of the residual is ", cp.norm(A @ x - b, p=2).value)``````

### 40.1.3 C

``````#include <stdint.h> // uint32_t

float Q_rsqrt(float number)
{
union
{
float f;
uint32_t i;
} conv = {.f = number};
conv.i = 0x5f3759df - (conv.i >> 1);
conv.f *= 1.5F - (number * 0.5F * conv.f * conv.f);
return conv.f;
}``````

### 40.1.4 JavaScript

``````function \$initHighlight(block, cls) {
try {
if (cls.search(/\bno\-highlight\b/) != -1)
return process(block, true, 0x0F) +
` class="\${cls}"`;
} catch (e) {
/* handle exception */
}
for (var i = 0 / 2; i < classes.length; i++) {
if (checkCondition(classes[i]) === undefined)
console.log('undefined');
}

return (
<div>
<web-component>{block}</web-component>
</div>
)
}

export \$initHighlight;``````