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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def run(self,shots=1,targetT=0.02,verbose=False):
 		""" 		Run SA with provided QUBO. 		Set qubo attribute in advance of calling this method. 		"""

		if self.qubo != []:
			self.qi()
		J = self.reJ()
		N = len(J)

		itetemp = 100
		Rtemp = 0.75

		self.E = []
		qq = []
		for i in range(shots):
			T = self.Ts
			q = np.random.choice([-1,1],N)
			EE = []
			EE.append(Ei(q,self.J)+self.ep)
			while T>targetT:
				x_list = np.random.randint(0, N, itetemp)
				for x in x_list:
					q2 = np.ones(N)*q[x]
					q2[x] = 1
					dE = -2*sum(q*q2*J[:,x])

					if dE < 0 or np.exp(-dE/T) > np.random.random_sample():
						q[x] *= -1
				EE.append(Ei(q,self.J)+self.ep)
				T *= Rtemp
			self.E.append(EE)
			qtemp = (np.asarray(q,int)+1)/2
			qq.append([int(s) for s in qtemp])
			if verbose == True:
				print(i,':',[int(s) for s in qtemp])
			if shots == 1:
				qq = qq[0]
		if shots == 1:
			self.E = self.E[0]
		return qq