How to use the bioframe.frac_mapped function in bioframe

pytest.importorskip("pysam")
    chromsizes = bioframe.read_chromsizes(testdir+"/test_data/test.chrom.sizes")
    fasta_records = bioframe.load_fasta(testdir+"/test_data/test.fa")

    unmapped = np.array([1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0])
    assert (
        unmapped
        == bioframe.frac_mapped(
            bioframe.binnify(chromsizes, 1), fasta_records, return_input=False
        ).values
    ).all()

    unmapped = np.array([0.8, 0.8, 0])
    assert (
        unmapped
        == bioframe.frac_mapped(
            bioframe.binnify(chromsizes, 5), fasta_records, return_input=False
        ).values
    ).all()

    unmapped = np.array([0.8, 4 / 7])
    assert (
        unmapped
        == bioframe.frac_mapped(
            bioframe.binnify(chromsizes, 7), fasta_records, return_input=False
        ).values

def test_frac_gc():
    pytest.importorskip("pysam")
    chromsizes = bioframe.read_chromsizes(testdir+"/test_data/test.chrom.sizes")
    fasta_records = bioframe.load_fasta(testdir+"/test_data/test.fa")

    unmapped_bp = (
        0
        == bioframe.frac_mapped(
            bioframe.binnify(chromsizes, 1), fasta_records, return_input=False
        ).values
    )
    assert np.isnan(
        bioframe.frac_gc(
            bioframe.binnify(chromsizes, 1),
            fasta_records,
            return_input=False,
            mapped_only=True,
        ).values[unmapped_bp]
    ).all()

    ## mapped_only=True should ignore N or return np.nan if interval only contains N
    np.testing.assert_equal(
        np.array([0.5, 0.5, np.nan]),
        bioframe.frac_gc(

def test_frac_mapped():
    pytest.importorskip("pysam")
    chromsizes = bioframe.read_chromsizes(testdir+"/test_data/test.chrom.sizes")
    fasta_records = bioframe.load_fasta(testdir+"/test_data/test.fa")

    unmapped = np.array([1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0])
    assert (
        unmapped
        == bioframe.frac_mapped(
            bioframe.binnify(chromsizes, 1), fasta_records, return_input=False
        ).values
    ).all()

    unmapped = np.array([0.8, 0.8, 0])
    assert (
        unmapped
        == bioframe.frac_mapped(
            bioframe.binnify(chromsizes, 5), fasta_records, return_input=False
        ).values
    ).all()

    unmapped = np.array([0.8, 4 / 7])
    assert (
        unmapped
        == bioframe.frac_mapped(