Please explain the code below and write its pseudocode. Thank you

import random, sys, math

import numpy as np

def Rand_Nodes(size):

return random.randint(1, size-1)

def Is_New(Gene, node):

for c in Gene:

if c == node:

return False

return True

def Find_Fitness(Gene, nodes): #find lowest value of the objective function

fitness = 0

for i in range(0, len(Gene)-1):

if nodes[Gene[i]][Gene[i+1]] == 0:

return sys.maxsize

else:

fitness += nodes[Gene[i]][Gene[i+1]]

return fitness

def Create_Gene(size):

Gene = [0]

for i in range(size-1):

while True:

new_node = Rand_Nodes(size)

if Is_New(Gene, new_node):

Gene += [new_node]

break

Gene += [0]

return Gene

def Give_2_rand_number(size):

while True:

change1 = Rand_Nodes(size)

change2 = Rand_Nodes(size)

if change1 != change2:

break

if change1 > change2:

temp = change1

change1 = change2

change2 = temp

return change1, change2

def neighbor(Gene):

change1, change2 = Give_2_rand_number(len(Gene)-1)

for i in range((change2 - change1 + 1)//2):

temp = Gene[change1+i]

Gene[change1+i] = Gene[change2-i]

Gene[change2-i] = temp

return Gene

def Energy(Gene, nodes):

return Find_Fitness(Gene, nodes)

def Probability(En, E, T):

if En < E:

return 1

else:

return math.exp(((-1)*(abs(E-En)/T)))

def SA(iteration, nodes):

n = len(nodes)

s = Create_Gene(n)

for i in range(iteration):

temperature = iteration/(i+1)

s_new = neighbor(s[:])

if Probability(Energy(s_new, nodes), Energy(s, nodes), temperature) > random.uniform(0,1):

s = s_new

print(Energy(s, nodes))

print(s)

nodes = []

File_data = np.loadtxt("gr17_d.txt", dtype=int)

#print(File_data) - testing if it actually reads the text file

for each in File_data:

nodes.append(each)

iteration = 10000

SA(iteration, nodes)