How to use the ctgan.synthesizer.CTGANSynthesizer function in ctgan

def test_ctgan_numpy():
    data = pd.DataFrame({
        'continuous': np.random.random(100),
        'discrete': np.random.choice(['a', 'b', 'c'], 100)
    })
    discrete_columns = [1]

    ctgan = CTGANSynthesizer()
    ctgan.fit(data.values, discrete_columns, epochs=1)

    sampled = ctgan.sample(100)

    assert sampled.shape == (100, 2)
    assert isinstance(sampled, np.ndarray)
    assert set(np.unique(sampled[:, 1])) == {'a', 'b', 'c'}

def test_ctgan_dataframe():
    data = pd.DataFrame({
        'continuous': np.random.random(100),
        'discrete': np.random.choice(['a', 'b', 'c'], 100)
    })
    discrete_columns = ['discrete']

    ctgan = CTGANSynthesizer()
    ctgan.fit(data, discrete_columns, epochs=1)

    sampled = ctgan.sample(100)

    assert sampled.shape == (100, 2)
    assert isinstance(sampled, pd.DataFrame)
    assert set(sampled.columns) == {'continuous', 'discrete'}
    assert set(sampled['discrete'].unique()) == {'a', 'b', 'c'}

def main():
    args = _parse_args()
    if args.tsv:
        data, discrete_columns = read_tsv(args.data, args.metadata)
    else:
        data, discrete_columns = read_csv(
            args.data, args.metadata, args.header, args.discrete)

    gen_dims = [int(x) for x in args.gen_dims.split(',')]
    dis_dims = [int(x) for x in args.dis_dims.split(',')]
    model = CTGANSynthesizer(
        z_dim=args.z_dim, gen_dims=gen_dims, dis_dims=dis_dims,
        gen_lr=args.gen_lr, gen_decay=args.gen_decay,
        dis_lr=args.dis_lr, dis_decay=args.dis_decay,
        batch_size=args.bs)
    model.fit(data, discrete_columns, args.epochs)

    num_samples = args.num_samples or len(data)
    sampled = model.sample(num_samples)

    if args.tsv:
        write_tsv(sampled, args.metadata, args.output)
    else:
        sampled.to_csv(args.output, index=False)