How to use the kipoiseq.datasets.sequence.SeqStringDataset function in kipoiseq

def test_min_props():
    for Dl in [SeqStringDataset, SeqDataset]:
        props = dir(Dl)
        assert all([el in props for el in min_set_props])

def test_fasta_based_dataset():
    # just test the functionality
    dl = SeqStringDataset(data_bpath + "sample_intervals.bed", data_bpath + "sample.fasta")
    ret_val = dl[0]
    assert isinstance(ret_val["inputs"], np.ndarray)
    assert ret_val["inputs"].shape == (1,)
    # test with set wrong seqlen:
    dl = SeqStringDataset(data_bpath + "sample_intervals.bed", data_bpath + "sample.fasta", required_seq_len=3)
    with pytest.raises(Exception):
        dl[0]
    # test with short max_seqlen:
    dl = SeqStringDataset(data_bpath + "sample_intervals.bed", data_bpath + "sample.fasta", max_seq_len=1)
    with pytest.raises(Exception):
        dl[0]
    dl = SeqStringDataset(data_bpath + "sample_intervals.bed", data_bpath + "sample.fasta", label_dtype="string")
    ret_val = dl[0]
    assert isinstance(ret_val['targets'][0], np.str_)
    dl = SeqStringDataset(data_bpath + "sample_intervals.bed", data_bpath + "sample.fasta", label_dtype="int")
    ret_val = dl[0]
    assert isinstance(ret_val['targets'][0], np.int_)
    dl = SeqStringDataset(data_bpath + "sample_intervals.bed", data_bpath + "sample.fasta", label_dtype="bool")
    ret_val = dl[0]
    assert isinstance(ret_val['targets'][0], np.bool_)

def test_fasta_based_dataset():
    # just test the functionality
    dl = SeqStringDataset(data_bpath + "sample_intervals.bed", data_bpath + "sample.fasta")
    ret_val = dl[0]
    assert isinstance(ret_val["inputs"], np.ndarray)
    assert ret_val["inputs"].shape == (1,)
    # test with set wrong seqlen:
    dl = SeqStringDataset(data_bpath + "sample_intervals.bed", data_bpath + "sample.fasta", required_seq_len=3)
    with pytest.raises(Exception):
        dl[0]
    # test with short max_seqlen:
    dl = SeqStringDataset(data_bpath + "sample_intervals.bed", data_bpath + "sample.fasta", max_seq_len=1)
    with pytest.raises(Exception):
        dl[0]
    dl = SeqStringDataset(data_bpath + "sample_intervals.bed", data_bpath + "sample.fasta", label_dtype="string")
    ret_val = dl[0]
    assert isinstance(ret_val['targets'][0], np.str_)
    dl = SeqStringDataset(data_bpath + "sample_intervals.bed", data_bpath + "sample.fasta", label_dtype="int")
    ret_val = dl[0]

dl = SeqStringDataset(data_bpath + "sample_intervals.bed", data_bpath + "sample.fasta")
    ret_val = dl[0]
    assert isinstance(ret_val["inputs"], np.ndarray)
    assert ret_val["inputs"].shape == (1,)
    # test with set wrong seqlen:
    dl = SeqStringDataset(data_bpath + "sample_intervals.bed", data_bpath + "sample.fasta", required_seq_len=3)
    with pytest.raises(Exception):
        dl[0]
    # test with short max_seqlen:
    dl = SeqStringDataset(data_bpath + "sample_intervals.bed", data_bpath + "sample.fasta", max_seq_len=1)
    with pytest.raises(Exception):
        dl[0]
    dl = SeqStringDataset(data_bpath + "sample_intervals.bed", data_bpath + "sample.fasta", label_dtype="string")
    ret_val = dl[0]
    assert isinstance(ret_val['targets'][0], np.str_)
    dl = SeqStringDataset(data_bpath + "sample_intervals.bed", data_bpath + "sample.fasta", label_dtype="int")
    ret_val = dl[0]
    assert isinstance(ret_val['targets'][0], np.int_)
    dl = SeqStringDataset(data_bpath + "sample_intervals.bed", data_bpath + "sample.fasta", label_dtype="bool")
    ret_val = dl[0]
    assert isinstance(ret_val['targets'][0], np.bool_)

def test_fasta_based_dataset():
    # just test the functionality
    dl = SeqStringDataset(data_bpath + "sample_intervals.bed", data_bpath + "sample.fasta")
    ret_val = dl[0]
    assert isinstance(ret_val["inputs"], np.ndarray)
    assert ret_val["inputs"].shape == (1,)
    # test with set wrong seqlen:
    dl = SeqStringDataset(data_bpath + "sample_intervals.bed", data_bpath + "sample.fasta", required_seq_len=3)
    with pytest.raises(Exception):
        dl[0]
    # test with short max_seqlen:
    dl = SeqStringDataset(data_bpath + "sample_intervals.bed", data_bpath + "sample.fasta", max_seq_len=1)
    with pytest.raises(Exception):
        dl[0]
    dl = SeqStringDataset(data_bpath + "sample_intervals.bed", data_bpath + "sample.fasta", label_dtype="string")
    ret_val = dl[0]
    assert isinstance(ret_val['targets'][0], np.str_)
    dl = SeqStringDataset(data_bpath + "sample_intervals.bed", data_bpath + "sample.fasta", label_dtype="int")
    ret_val = dl[0]
    assert isinstance(ret_val['targets'][0], np.int_)
    dl = SeqStringDataset(data_bpath + "sample_intervals.bed", data_bpath + "sample.fasta", label_dtype="bool")
    ret_val = dl[0]
    assert isinstance(ret_val['targets'][0], np.bool_)