PrivacyScanData/truncate/new2/hamiltonian-truncation-master/tests/testSmallMatrix.py

# -*- coding: utf-8 -*-
"""
Created on Mon Jun 22 20:51:40 2020

@author: Ian Lim
"""


from statefuncs import State, Basis 
from phi1234 import Phi1234
from scipy.constants import pi
import numpy as np
import unittest

class TestSmallMatrix(unittest.TestCase):
    
    def testMatrix(self):
        
        a = Phi1234()
        verbose = False
        
        # values chosen to produce an nmax of 3 and a five-element basis
        a.buildFullBasis(k=1, Emax=10., L=2*pi, m=4.)
        a.buildFullBasis(k=-1, Emax=10., L=2*pi, m=4.)
        
        expected_basis = [[0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 2, 0, 0, 0],
                          [0, 0, 1, 0, 1, 0, 0], [0, 1, 0, 0, 0, 1, 0],
                          [1, 0, 0, 0, 0, 0, 1]]
        
        self.assertEqual(len(a.fullBasis[1]),len(expected_basis))
        
        for index, occs in enumerate(expected_basis):
            self.assertEqual(a.fullBasis[1][index].occs, occs)
        
        #print([state.occs for state in a.fullBasis[-1]])
        a.buildMatrix()
        
        if verbose:
            print("Free Hamiltonian:")
            print(a.h0[1].M.toarray())
            # we could check that the diagonal elements are the expected energies
            
            #order zero is just the mass term, which comes out to 2*pi here.
            print("Order zero potential matrix:")
            print(a.potential[1][0].M.toarray())
            
            print("Order phi^2 potential matrix:")
            print(a.potential[1][2].M.toarray())
            
            print("Order phi^4 potential matrix:")
            print(a.potential[1][4].M.toarray())
    
if __name__ == '__main__':
    unittest.main()