Add tests for mixed/zero ploidy cases

tests/test_vcf_writer.py

@@ -11,7 +11,7 @@
 
 from vcztools import filter as filter_mod
 from vcztools.constants import INT_FILL, INT_MISSING
-from vcztools.vcf_writer import _compute_info_fields, write_vcf
+from vcztools.vcf_writer import _compute_info_fields, c_chunk_to_vcf, write_vcf
 
 from .utils import assert_vcfs_close, vcz_path_cache
 
@@ -386,7 +386,6 @@ def test_compute_info_fields():
         np.testing.assert_array_equal(expected_result[key], computed_info_fields[key])
 
 
-
 class TestApiErrors:
 
     @pytest.fixture()
@@ -400,9 +399,114 @@ def test_samples_and_drop_genotypes(self, vcz):
         ):
             write_vcf(vcz, sys.stdout, samples=["NA00001"], drop_genotypes=True)
 
-
     def test_no_output_filter_parse_error(self, vcz):
         output = StringIO()
         with pytest.raises(filter_mod.ParseError):
             write_vcf(vcz, output, include="Not a valid expression")
         assert output.getvalue() == ""
+
+
+def minimal_vcf_chunk(num_variants, num_samples, ploidy=2):
+    return {
+        "variant_position": 1 + np.arange(num_variants, dtype=np.int32),
+        "variant_contig": np.zeros(num_variants, dtype=np.int32),
+        # "variant_id": np.array(["."] * num_variants, dtype="S1"),
+        "variant_id": np.array(["."] * num_variants, dtype="S").reshape(
+            (num_variants, 1)
+        ),
+        "variant_allele": np.array([("A", "T")] * num_variants),
+        "variant_quality": np.zeros(num_variants, dtype=np.float32),
+        "variant_filter": np.ones(num_variants, dtype=bool).reshape((num_variants, 1)),
+        "call_genotype": np.zeros((num_variants, num_samples, ploidy), dtype=np.int8),
+    }
+
+
+def chunk_to_vcf(chunk):
+    filters = np.array([b"PASS"])
+    contigs = np.array([b"chr1"])
+    output = StringIO()
+    c_chunk_to_vcf(
+        chunk,
+        samples_selection=None,
+        contigs=contigs,
+        filters=filters,
+        output=output,
+        drop_genotypes=False,
+        no_update=False,
+    )
+    return output.getvalue()
+
+
+def chunk_to_vcf_file(chunk):
+    """
+    Simple function just to get the data out to a minimal file for
+    testing and evaluation
+    """
+    num_samples = chunk["call_genotype"].shape[1]
+
+    output = StringIO()
+    print("##fileformat=VCFv4.3", file=output)
+    print("##contig=<ID=chr1>", file=output)
+    print(
+        '##FORMAT=<ID=GT,Number=1,Type=String,Description="Genotype">',
+        file=output,
+    )
+    print(
+        "#CHROM",
+        "POS",
+        "ID",
+        "REF",
+        "ALT",
+        "QUAL",
+        "FILTER",
+        "INFO",
+        sep="\t",
+        end="",
+        file=output,
+    )
+    print(end="\t", file=output)
+    sample_ids = [f"x{j}" for j in range(num_samples)]
+    print("FORMAT", *sample_ids, sep="\t", file=output)
+    return output.getvalue() + chunk_to_vcf(chunk)
+
+
+class TestEncoding:
+
+    def test_basic_example(self):
+        chunk = minimal_vcf_chunk(1, 2)
+        out = chunk_to_vcf(chunk)
+        line = "\t".join(
+            ["chr1", "1", ".", "A", "T", "0", "PASS", ".", "GT", "0/0", "0/0"]
+        )
+        assert out == line + "\n"
+
+    def test_mixed_ploidy(self):
+        chunk = minimal_vcf_chunk(2, 2)
+        chunk["call_genotype"][0, 0, 1] = -2
+        chunk["call_genotype"][1, 1, 1] = -2
+        out = chunk_to_vcf(chunk)
+        lines = [
+            ["chr1", "1", ".", "A", "T", "0", "PASS", ".", "GT", "0", "0/0"],
+            ["chr1", "2", ".", "A", "T", "0", "PASS", ".", "GT", "0/0", "0"],
+        ]
+        lines = "\n".join("\t".join(line) for line in lines)
+        assert out == lines + "\n"
+
+    def test_zero_ploidy(self):
+        chunk = minimal_vcf_chunk(2, 2)
+        chunk["call_genotype"][0, 0] = -2
+        chunk["call_genotype"][1, 1] = -2
+        out = chunk_to_vcf(chunk)
+        lines = [
+            ["chr1", "1", ".", "A", "T", "0", "PASS", ".", "GT", "", "0/0"],
+            ["chr1", "2", ".", "A", "T", "0", "PASS", ".", "GT", "0/0", ""],
+        ]
+        lines = "\n".join("\t".join(line) for line in lines)
+        assert out == lines + "\n"
+
+        # NOTE bcftools/htslib doesn't like this
+        # [E::vcf_parse_format] Couldn't read GT data:
+        #  value not a number or '.' at chr1:1
+
+        # with open("zero-ploidy.vcf", "w") as f:
+        #     print(chunk_to_vcf_file(chunk), file=f, end="")

vcztools/vcf_writer.py

@@ -230,7 +230,7 @@ def c_chunk_to_vcf(
             gt_phased = chunk_data["call_genotype_phased"]
         else:
             # Default to unphased if call_genotype_phased not present
-            gt_phased = np.zeros_like(gt, dtype=bool)
+            gt_phased = np.zeros(gt.shape[:2], dtype=bool)
 
     for name, array in chunk_data.items():
         if (