|
| 1 | +from itertools import zip_longest |
| 2 | +from pathlib import Path |
| 3 | + |
| 4 | +import numpy as np |
| 5 | + |
| 6 | +from sgkit.io.vcf.vcf_reader import open_vcf |
| 7 | +from sgkit.typing import PathType |
| 8 | + |
| 9 | + |
| 10 | +def path_for_test(shared_datadir: Path, file: str, is_path: bool = True) -> PathType: |
| 11 | + """Return a test data path whose type is determined by `is_path`. |
| 12 | +
|
| 13 | + If `is_path` is True, return a `Path`, otherwise return a `str`. |
| 14 | + """ |
| 15 | + path: PathType = shared_datadir / file |
| 16 | + return path if is_path else str(path) |
| 17 | + |
| 18 | + |
| 19 | +def assert_vcfs_close(f1, f2, *, rtol=1e-05, atol=1e-03): |
| 20 | + """Like :py:func:`numpy.testing.assert_allclose()`, but for VCF files. |
| 21 | +
|
| 22 | + Raises an `AssertionError` if two VCF files are not equal to one another. |
| 23 | + Float values in QUAL, INFO, or FORMAT fields are compared up to the |
| 24 | + desired tolerance. All other values must match exactly. |
| 25 | +
|
| 26 | + Parameters |
| 27 | + ---------- |
| 28 | + f1 |
| 29 | + Path to first VCF to compare. |
| 30 | + f2 |
| 31 | + Path to second VCF to compare. |
| 32 | + rtol |
| 33 | + Relative tolerance. |
| 34 | + atol |
| 35 | + Absolute tolerance. |
| 36 | + """ |
| 37 | + with open_vcf(f1) as vcf1, open_vcf(f2) as vcf2: |
| 38 | + assert vcf1.raw_header == vcf2.raw_header |
| 39 | + assert vcf1.samples == vcf2.samples |
| 40 | + |
| 41 | + for v1, v2 in zip_longest(vcf1, vcf2): |
| 42 | + if v1 is None and v2 is not None: |
| 43 | + raise AssertionError(f"Right contains extra variant: {v2}") |
| 44 | + if v1 is not None and v2 is None: |
| 45 | + raise AssertionError(f"Left contains extra variant: {v1}") |
| 46 | + |
| 47 | + assert v1.CHROM == v2.CHROM, f"CHROM not equal for variants\n{v1}{v2}" |
| 48 | + assert v1.POS == v2.POS, f"POS not equal for variants\n{v1}{v2}" |
| 49 | + assert v1.ID == v2.ID, f"ID not equal for variants\n{v1}{v2}" |
| 50 | + assert v1.REF == v2.REF, f"REF not equal for variants\n{v1}{v2}" |
| 51 | + assert v1.ALT == v2.ALT, f"ALT not equal for variants\n{v1}{v2}" |
| 52 | + np.testing.assert_allclose( |
| 53 | + np.array(v1.QUAL, dtype=np.float32), |
| 54 | + np.array(v2.QUAL, dtype=np.float32), |
| 55 | + rtol=rtol, |
| 56 | + atol=atol, |
| 57 | + err_msg=f"QUAL not equal for variants\n{v1}{v2}", |
| 58 | + ) |
| 59 | + assert set(v1.FILTERS) == set( |
| 60 | + v2.FILTERS |
| 61 | + ), f"FILTER not equal for variants\n{v1}{v2}" |
| 62 | + |
| 63 | + assert ( |
| 64 | + dict(v1.INFO).keys() == dict(v2.INFO).keys() |
| 65 | + ), f"INFO keys not equal for variants\n{v1}{v2}" |
| 66 | + for k in dict(v1.INFO).keys(): |
| 67 | + # values are python objects (not np arrays) |
| 68 | + val1 = v1.INFO[k] |
| 69 | + val2 = v2.INFO[k] |
| 70 | + if isinstance(val1, float) or ( |
| 71 | + isinstance(val1, tuple) and any(isinstance(v, float) for v in val1) |
| 72 | + ): |
| 73 | + np.testing.assert_allclose( |
| 74 | + np.array(val1, dtype=np.float32), |
| 75 | + np.array(val2, dtype=np.float32), |
| 76 | + rtol=rtol, |
| 77 | + atol=atol, |
| 78 | + err_msg=f"INFO {k} not equal for variants\n{v1}{v2}", |
| 79 | + ) |
| 80 | + else: |
| 81 | + assert val1 == val2, f"INFO {k} not equal for variants\n{v1}{v2}" |
| 82 | + |
| 83 | + assert v1.FORMAT == v2.FORMAT, f"FORMAT not equal for variants\n{v1}{v2}" |
| 84 | + for field in v1.FORMAT: |
| 85 | + if field == "GT": |
| 86 | + assert ( |
| 87 | + v1.genotypes == v2.genotypes |
| 88 | + ), f"GT not equal for variants\n{v1}{v2}" |
| 89 | + else: |
| 90 | + val1 = v1.format(field) |
| 91 | + val2 = v2.format(field) |
| 92 | + if val1.dtype.kind == "f": |
| 93 | + np.testing.assert_allclose( |
| 94 | + val1, |
| 95 | + val2, |
| 96 | + rtol=rtol, |
| 97 | + atol=atol, |
| 98 | + err_msg=f"FORMAT {field} not equal for variants\n{v1}{v2}", |
| 99 | + ) |
| 100 | + else: |
| 101 | + np.testing.assert_array_equal( |
| 102 | + val1, |
| 103 | + val2, |
| 104 | + err_msg=f"FORMAT {field} not equal for variants\n{v1}{v2}", |
| 105 | + ) |
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