<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def calc_K_xx_wo_variance(self,X):
 """Calculates K_xx without the variance term"""

        K_xx = np.ones([X.shape[0],X.shape[0]]) #ones now as a product occurs over each dimension
        for i,x in enumerate(X):
            for j,x2 in enumerate(X):
                for il,l in enumerate(self.lengthscale):
                    idx = il*2 #each pair of input dimensions describe the limits on one actual dimension in the data
                    K_xx[i,j] *= self.k_xx(x[idx],x2[idx],x[idx+1],x2[idx+1],l)
        return K_xx