How to use the aif360.algorithms.inprocessing.celisMeta.utils.getRandomSamples function in aif360

dist_params, dist_params_train =  ut.getDistribution(x_train, y_train, x_control_train)
		eps = 0.01
		L = math.ceil(tau/eps)
		z_1 = sum(x_control_train)/(float(len(x_control_train)))
		z_0 = 1 - z_1
		p, q  = [0,0],[0,0]
		paramsOpt, samples = [], []
		maxAcc = 0
		maxGamma = 0

		span = self.getRange(eps, tau)
		for (a,b) in span:
			acc, gamma = 0, 0
			#print("-----",a,b)
			samples = ut.getRandomSamples(dist_params_train)

			#try :
			params = self.gradientDescent(dist_params, a, b, samples, z_0, z_1)
			#print(params)
			y_res = []

			for x in x_train:
				t = self.getValueForX(dist_params, a,b, params, samples,  z_0, z_1, x, 0)
				if t > 0 :
					y_res.append(1)
				else:
					y_res.append(-1)

			acc = ut.getAccuracy(y_train, y_res)
			gamma = self.getGamma(y_train, y_res, x_control_train)
			#print(acc, gamma)