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""" |
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Copyright 2021, Dana-Farber Cancer Institute and Weill Cornell Medicine |
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License: GNU GPL 2.0 |
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""" |
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import anndata |
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import numpy as np |
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import pytest |
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from pathml.core import SlideData, SlideDataset, VectraSlide, types |
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@pytest.fixture |
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def example_slide_data(): |
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labs = { |
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"test_string_label": "testlabel", |
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"test_array_label": np.array([2, 3, 4]), |
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"test_int_label": 3, |
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"test_float_label": 3.0, |
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"test_bool_label": True, |
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} |
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wsi = SlideData( |
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"tests/testdata/small_HE.svs", name="test", labels=labs, backend="openslide" |
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) |
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return wsi |
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@pytest.fixture |
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def example_slide_data_with_tiles(tile): |
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labs = { |
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"test_string_label": "testlabel", |
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"test_array_label": np.array([2, 3, 4]), |
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"test_int_label": 3, |
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"test_float_label": 3.0, |
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"test_bool_label": True, |
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} |
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adata = anndata.AnnData() |
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wsi = SlideData( |
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"tests/testdata/small_HE.svs", |
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name="test", |
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labels=labs, |
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backend="openslide", |
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tiles=[tile], |
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counts=adata, |
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) |
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return wsi |
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@pytest.fixture() |
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def slide_dataset(example_slide_data_with_tiles): |
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n = 4 |
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labs = { |
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"test_string_label": "testlabel", |
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"test_array_label": np.array([2, 3, 4]), |
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"test_int_label": 3, |
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"test_float_label": 3.0, |
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"test_bool_label": True, |
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} |
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slide_list = [ |
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SlideData( |
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"tests/testdata/small_HE.svs", |
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name=f"slide{i}", |
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labels=labs, |
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backend="openslide", |
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) |
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for i in range(n) |
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] |
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slide_dataset = SlideDataset(slide_list) |
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return slide_dataset |
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@pytest.fixture() |
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def slide_dataset_with_tiles(tile, example_slide_data_with_tiles): |
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n = 4 |
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labs = { |
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"test_string_label": "testlabel", |
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"test_array_label": np.array([2, 3, 4]), |
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"test_int_label": 3, |
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"test_float_label": 3.0, |
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"test_bool_label": True, |
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} |
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slide_list = [ |
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SlideData( |
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"tests/testdata/small_HE.svs", |
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name=f"slide{i}", |
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labels=labs, |
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backend="openslide", |
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tiles=[tile], |
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) |
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for i in range(n) |
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] |
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slide_dataset = SlideDataset(slide_list) |
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return slide_dataset |
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@pytest.fixture |
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def vectra_slide(): |
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temp_path = "tests/testdata/small_vectra.qptiff" |
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vectra_slide = VectraSlide(temp_path, backend="bioformats", slide_type=types.Vectra) |
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return vectra_slide |
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