| import json |
| from pathlib import Path |
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|
| import pyarrow.parquet as pq |
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|
| DATA_DIR = Path(__file__).resolve().parent.parent / "data" |
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|
| def test_schema_columns(): |
| shard = sorted(DATA_DIR.glob("test-*.parquet"))[0] |
| table = pq.read_table(str(shard)) |
| assert set(table.column_names) == {"path", "audio", "label", "notes"} |
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|
| def test_label_classes(): |
| shard = sorted(DATA_DIR.glob("test-*.parquet"))[0] |
| table = pq.read_table(str(shard)) |
| label_col = table.column("label") |
| unique_labels = set(label_col.to_pylist()) |
| assert unique_labels == {0, 1} |
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| def test_notes_parse_as_json(): |
| shard = sorted(DATA_DIR.glob("test-*.parquet"))[0] |
| table = pq.read_table(str(shard)) |
| notes_col = table.column("notes") |
| for i in range(min(10, table.num_rows)): |
| parsed = json.loads(notes_col[i].as_py()) |
| assert "utterance_id" in parsed |
| assert parsed["utterance_id"].startswith("LA_E_") |
| assert "speaker_id" in parsed |
| assert parsed["speaker_id"].startswith("LA_") |
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| def test_path_format(): |
| shard = sorted(DATA_DIR.glob("test-*.parquet"))[0] |
| table = pq.read_table(str(shard)) |
| path_col = table.column("path") |
| for i in range(min(10, table.num_rows)): |
| p = path_col[i].as_py() |
| assert p.endswith(".flac") |
| assert p.startswith("LA_E_") |
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