File size: 1,643 Bytes
aef1f5a 3c4c67b aef1f5a 3c4c67b 363ba14 3c4c67b 363ba14 aef1f5a 3c4c67b aef1f5a 3c4c67b aef1f5a 3c4c67b aef1f5a 3c4c67b 363ba14 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 |
"""Tests for the data loader."""
from __future__ import annotations
from typing import TYPE_CHECKING
import pytest
from datasets.exceptions import DatasetNotFoundError
from stroke_deepisles_demo.data.adapter import HuggingFaceDataset, LocalDataset
from stroke_deepisles_demo.data.loader import load_isles_dataset
if TYPE_CHECKING:
from pathlib import Path
def test_load_from_local_returns_local_dataset(synthetic_isles_dir: Path) -> None:
"""Test that loading from local path returns a LocalDataset."""
dataset = load_isles_dataset(source=synthetic_isles_dir, local_mode=True)
assert isinstance(dataset, LocalDataset)
assert len(dataset) > 0
def test_load_from_local_finds_all_cases(synthetic_isles_dir: Path) -> None:
"""Test that the loader correctly delegates finding cases to adapter."""
dataset = load_isles_dataset(source=synthetic_isles_dir)
assert len(dataset) == 2
assert dataset.list_case_ids() == ["sub-stroke0001", "sub-stroke0002"]
def test_load_hf_raises_on_invalid_dataset() -> None:
"""Test that loading a non-existent HF dataset raises DatasetNotFoundError."""
with pytest.raises(DatasetNotFoundError):
load_isles_dataset(source="fake/nonexistent-dataset", local_mode=False)
@pytest.mark.integration
def test_load_from_huggingface_returns_hf_dataset() -> None:
"""Test that loading from HuggingFace returns a HuggingFaceDataset."""
with load_isles_dataset() as dataset: # Default is HuggingFace mode
assert isinstance(dataset, HuggingFaceDataset)
assert len(dataset) == 149
assert dataset.list_case_ids()[0] == "sub-stroke0001"
|