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Original file line number | Diff line number | Diff line change |
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@@ -1,19 +1,103 @@ | ||
from __future__ import annotations | ||
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import os | ||
import random | ||
from pathlib import Path | ||
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import numpy as np | ||
import pytest | ||
import torch | ||
from tests import testdata_mrc | ||
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from caked.dataloader import DiskDataLoader, DiskDataset | ||
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ORIG_DIR = Path.cwd() | ||
TEST_DATA_MRC = Path(testdata_mrc.__file__).parent | ||
DISK_PIPELINE = "disk" | ||
DATASET_SIZE_ALL = None | ||
DATASET_SIZE_SOME = 3 | ||
DISK_CLASSES_FULL = ["1b23", "1dfo", "1dkg", "1e3p"] | ||
DISK_CLASSES_SOME = ["1b23", "1dkg"] | ||
DISK_CLASSES_MISSING = ["2b3a", "1b23"] | ||
DISK_CLASSES_NONE = None | ||
DATATYPE_MRC = "mrc" | ||
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def test_class_instantiation(): | ||
test_loader = DiskDataLoader( | ||
pipeline="test", | ||
classes=["test"], | ||
dataset_size=3, | ||
pipeline=DISK_PIPELINE, | ||
classes=DISK_CLASSES_SOME, | ||
dataset_size=DATASET_SIZE_SOME, | ||
save_to_disk=False, | ||
training=True, | ||
) | ||
assert isinstance(test_loader, DiskDataLoader) | ||
assert test_loader.pipeline == DISK_PIPELINE | ||
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def test_dataset_instantiation(): | ||
test_dataset = DiskDataset(paths=["test"]) | ||
assert isinstance(test_dataset, DiskDataset) | ||
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def test_load_dataset_no_classes(): | ||
test_loader = DiskDataLoader( | ||
pipeline=DISK_PIPELINE, classes=DISK_CLASSES_NONE, dataset_size=DATASET_SIZE_ALL | ||
) | ||
test_loader.load(datapath=TEST_DATA_MRC, datatype=DATATYPE_MRC) | ||
assert isinstance(test_loader.dataset, DiskDataset) | ||
assert len(test_loader.classes) == len(DISK_CLASSES_FULL) | ||
assert all(a == b for a, b in zip(test_loader.classes, DISK_CLASSES_FULL)) | ||
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def test_load_dataset_all_classes(): | ||
test_loader = DiskDataLoader( | ||
pipeline=DISK_PIPELINE, classes=DISK_CLASSES_FULL, dataset_size=DATASET_SIZE_ALL | ||
) | ||
test_loader.load(datapath=TEST_DATA_MRC, datatype=DATATYPE_MRC) | ||
assert isinstance(test_loader.dataset, DiskDataset) | ||
assert len(test_loader.classes) == len(DISK_CLASSES_FULL) | ||
assert all(a == b for a, b in zip(test_loader.classes, DISK_CLASSES_FULL)) | ||
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def test_load_dataset_some_classes(): | ||
test_loader = DiskDataLoader( | ||
pipeline=DISK_PIPELINE, classes=DISK_CLASSES_SOME, dataset_size=DATASET_SIZE_ALL | ||
) | ||
test_loader.load(datapath=TEST_DATA_MRC, datatype=DATATYPE_MRC) | ||
assert isinstance(test_loader.dataset, DiskDataset) | ||
assert len(test_loader.classes) == len(DISK_CLASSES_SOME) | ||
assert all(a == b for a, b in zip(test_loader.classes, DISK_CLASSES_SOME)) | ||
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def test_load_dataset_missing_class(): | ||
test_loader = DiskDataLoader( | ||
pipeline=DISK_PIPELINE, | ||
classes=DISK_CLASSES_MISSING, | ||
dataset_size=DATASET_SIZE_ALL, | ||
) | ||
paths = [f for f in os.listdir(TEST_DATA_MRC) if "." + DATATYPE_MRC in f] | ||
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random.shuffle(paths) | ||
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# ids right now depend on the data being saved with a certain format (id in the first part of the name, separated by _) | ||
# TODO: make this more general/document in the README | ||
ids = np.unique([f.split("_")[0] for f in paths]) | ||
assert test_loader.classes == DISK_CLASSES_MISSING | ||
classes = test_loader.classes | ||
class_check = np.in1d(classes, ids) | ||
if not np.all(class_check): | ||
print(class_check) | ||
with pytest.raises(Exception, match=r".* Missing classes: .*"): | ||
test_loader.load(datapath=TEST_DATA_MRC, datatype=DATATYPE_MRC) | ||
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def test_one_image(): | ||
test_loader = DiskDataLoader( | ||
pipeline=DISK_PIPELINE, classes=DISK_CLASSES_NONE, dataset_size=DATASET_SIZE_ALL | ||
) | ||
test_loader.load(datapath=TEST_DATA_MRC, datatype=DATATYPE_MRC) | ||
test_dataset = test_loader.dataset | ||
test_item_image, test_item_name = test_dataset.__getitem__(1) | ||
assert test_item_name in DISK_CLASSES_FULL | ||
assert isinstance(test_item_image, torch.Tensor) |