def test_values(self):
datalist = [
{
"image": "spleen_19.nii.gz",
"label": "spleen_label_19.nii.gz"
},
{
"image": "spleen_31.nii.gz",
"label": "spleen_label_31.nii.gz"
},
]
transform = Compose([
DataStatsd(keys=["image", "label"],
data_shape=False,
value_range=False,
data_value=True),
SimulateDelayd(keys=["image", "label"], delay_time=0.1),
])
dataset = CacheDataset(data=datalist,
transform=transform,
cache_rate=0.5,
cache_num=1)
dataloader = DataLoader(dataset=dataset, batch_size=2, num_workers=2)
for d in dataloader:
self.assertEqual(d["image"][0], "spleen_19.nii.gz")
self.assertEqual(d["image"][1], "spleen_31.nii.gz")
self.assertEqual(d["label"][0], "spleen_label_19.nii.gz")
self.assertEqual(d["label"][1], "spleen_label_31.nii.gz")
def test_file(self, input_data, expected_print):
with tempfile.TemporaryDirectory() as tempdir:
filename = os.path.join(tempdir, "test_stats.log")
handler = logging.FileHandler(filename, mode="w")
handler.setLevel(logging.INFO)
name = "DataStats"
logger = logging.getLogger(name)
logger.addHandler(handler)
input_param = {
"keys": "img",
"prefix": "test data",
"data_shape": True,
"value_range": True,
"data_value": True,
"additional_info": np.mean,
"name": name,
}
transform = DataStatsd(**input_param)
_ = transform(input_data)
for h in logger.handlers[:]:
h.close()
logger.removeHandler(h)
del handler
with open(filename) as f:
content = f.read()
if sys.platform != "win32":
self.assertEqual(content, expected_print)
def test_file(self, input_data, expected_print):
with tempfile.TemporaryDirectory() as tempdir:
filename = os.path.join(tempdir, "test_stats.log")
handler = logging.FileHandler(filename, mode="w")
input_param = {
"keys": "img",
"prefix": "test data",
"data_shape": True,
"value_range": True,
"data_value": True,
"additional_info": lambda x: np.mean(x),
"logger_handler": handler,
}
transform = DataStatsd(**input_param)
_ = transform(input_data)
handler.stream.close()
transform.printer._logger.removeHandler(handler)
with open(filename, "r") as f:
content = f.read()
self.assertEqual(content, expected_print)
def test_value(self, input_param, input_data, expected_print):
transform = DataStatsd(**input_param)
_ = transform(input_data)
def test_value(self, input_param, input_data, expected_print):
transform = DataStatsd(**input_param)
_ = transform(input_data)
self.assertEqual(transform.printer.output, expected_print)
