Cleanup warnings when collecting tests

Minimize warning information so that important warnings and errors
are more easily accessible

warnings identified with
```bash
python3  -W ignore::DeprecationWarning -m pytest -k dummy
```

Fixing warnings like:
cannot collect test class 'TestTimeAugmentation' because it has a
__init__ constructor

Use `__test__ = False` to supress attempted collection in those
non test-classes

Signed-off-by: Hans Johnson <hans-johnson@uiowa.edu>

monai/data/test_time_augmentation.py

@@ -105,6 +105,7 @@ class TestTimeAugmentation:
             )
             mode, mean, std, vvc = tt_aug(test_data)
     """
+    __test__ = False # indicate to pytest that this class is not intended for collection
 
     def __init__(
         self,

tests/test_arraydataset.py

@@ -40,7 +40,7 @@
 
 
 class TestCompose(Compose):
-
+    __test__ = False # indicate to pytest that this class is not intended for collection
     def __call__(self, input_, lazy=False):
         img = self.transforms[0](input_)
         metadata = img.meta

tests/test_auto3dseg.py

@@ -122,6 +122,7 @@ class TestOperations(Operations):
     """
     Test example for user operation
     """
+    __test__ = False # indicate to pytest that this class is not intended for collection
 
     def __init__(self) -> None:
         self.data = {"max": np.max, "mean": np.mean, "min": np.min}
@@ -131,6 +132,7 @@ class TestAnalyzer(Analyzer):
     """
     Test example for a simple Analyzer
     """
+    __test__ = False # indicate to pytest that this class is not intended for collection
 
     def __init__(self, key, report_format, stats_name="test"):
         self.key = key
@@ -148,6 +150,7 @@ class TestImageAnalyzer(Analyzer):
     """
     Test example for a simple Analyzer
     """
+    __test__ = False # indicate to pytest that this class is not intended for collection
 
     def __init__(self, image_key="image", stats_name="test_image"):
         self.image_key = image_key

tests/test_convert_data_type.py

@@ -73,6 +73,7 @@
 
 
 class TestTensor(torch.Tensor):
+    __test__ = False # indicate to pytest that this class is not intended for collection
     pass
 
 

tests/test_handler_prob_map_producer.py

@@ -30,6 +30,7 @@
 
 
 class TestDataset(Dataset):
+    __test__ = False # indicate to pytest that this class is not intended for collection
 
     def __init__(self, name, size):
         super().__init__(
@@ -64,6 +65,7 @@ def __getitem__(self, index):
 
 
 class TestEvaluator(Evaluator):
+    __test__ = False # indicate to pytest that this class is not intended for collection
 
     def _iteration(self, engine, batchdata):
         return batchdata

tests/test_handler_validation.py

@@ -22,7 +22,7 @@
 
 
 class TestEvaluator(Evaluator):
-
+    __test__ = False # indicate to pytest that this class is not intended for collection
     def _iteration(self, engine, batchdata):
         engine.state.output = "called"
         return engine.state.output

tests/test_image_filter.py

@@ -38,6 +38,7 @@
 
 
 class TestModule(torch.nn.Module):
+    __test__ = False # indicate to pytest that this class is not intended for collection
 
     def __init__(self):
         super().__init__()

tests/test_prepare_batch_default.py

@@ -21,7 +21,7 @@
 
 
 class TestNet(torch.nn.Module):
-
+    __test__ = False # indicate to pytest that this class is not intended for collection
     def forward(self, x: torch.Tensor):
         return x
 

tests/test_prepare_batch_default_dist.py

@@ -43,6 +43,7 @@
 
 
 class TestNet(torch.nn.Module):
+    __test__ = False # indicate to pytest that this class is not intended for collection
 
     def forward(self, x: torch.Tensor):
         return x

tests/test_prepare_batch_extra_input.py

@@ -36,6 +36,7 @@
 
 
 class TestNet(torch.nn.Module):
+    __test__ = False # indicate to pytest that this class is not intended for collection
 
     def forward(self, x: torch.Tensor, t1=None, t2=None, t3=None):
         return {"x": x, "t1": t1, "t2": t2, "t3": t3}

tests/test_prepare_batch_hovernet.py

@@ -28,6 +28,7 @@
 
 
 class TestNet(torch.nn.Module):
+    __test__ = False # indicate to pytest that this class is not intended for collection
 
     def forward(self, x: torch.Tensor):
         return {HoVerNetBranch.NP: torch.tensor([1, 2]), HoVerNetBranch.NC: torch.tensor([4, 4]), HoVerNetBranch.HV: 16}

tests/test_torchscript_utils.py

@@ -23,6 +23,7 @@
 
 
 class TestModule(torch.nn.Module):
+    __test__ = False # indicate to pytest that this class is not intended for collection
 
     def forward(self, x):
         return x + 10