Пример #1
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 def test_int_wrapper_loop(self):
     """Check hafnian(A, loop=True)=haf_real(A, loop=True) for a random
     integer matrix.
     """
     A = np.int64(np.ones([6, 6]))
     haf = hafnian(A, loop=True)
     expected = haf_real(np.float64(A), loop=True)
     assert np.allclose(haf, expected)
Пример #2
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    def test_real_wrapper(self):
        """Check hafnian(A)=haf_real(A) for a random
        real matrix.
        """
        A = np.random.random([6, 6])
        A += A.T
        haf = hafnian(A)
        expected = haf_real(A)
        assert np.allclose(haf, expected)

        haf = hafnian(A, loop=True)
        expected = haf_real(A, loop=True)
        assert np.allclose(haf, expected)

        A = np.random.random([6, 6])
        A += A.T
        A = np.array(A, dtype=np.complex128)
        haf = hafnian(A)
        expected = haf_real(np.float64(A.real))
        assert np.allclose(haf, expected)
Пример #3
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    start = time.time()
    for i in range(reps):
        matrix = np.random.randint(low=-1, high=2, size=[size, size])
        A = np.complex128(np.clip(matrix + matrix.T, -1, 1))
        res = haf_complex(A, recursive=True)

    end = time.time()
    print("Mean time taken (complex, recursive): ", (end - start) / reps)
    # print('\t Haf result: ', res)
    times[ind, 1] = (end - start) / reps

    start = time.time()
    for i in range(reps):
        matrix = np.random.randint(low=-1, high=2, size=[size, size])
        A = np.float64(np.clip(matrix + matrix.T, -1, 1))
        res = haf_real(A)

    end = time.time()
    print("Mean time taken (real): ", (end - start) / reps)
    # print('\t Haf result: ', res)
    times[ind, 2] = (end - start) / reps

    start = time.time()
    for i in range(reps):
        matrix = np.random.randint(low=-1, high=2, size=[size, size])
        A = np.float64(np.clip(matrix + matrix.T, -1, 1))
        res = haf_real(A, recursive=True)

    end = time.time()
    print("Mean time taken (real, recursive): ", (end - start) / reps)
    # print('\t Haf result: ', res)