Fix Ruff type check issue (#7885)

Fixes #7884 #7832

### Types of changes
<!--- Put an `x` in all the boxes that apply, and remove the not
applicable items -->
- [x] Non-breaking change (fix or new feature that would not break
existing functionality).
- [ ] Breaking change (fix or new feature that would cause existing
functionality to change).
- [ ] New tests added to cover the changes.
- [ ] Integration tests passed locally by running `./runtests.sh -f -u
--net --coverage`.
- [ ] Quick tests passed locally by running `./runtests.sh --quick
--unittests --disttests`.
- [ ] In-line docstrings updated.
- [ ] Documentation updated, tested `make html` command in the `docs/`
folder.

---------

Signed-off-by: YunLiu <55491388+KumoLiu@users.noreply.github.com>

Author: KumoLiu

docs/source/transforms.rst

@@ -667,6 +667,12 @@ Post-processing
     :members:
     :special-members: __call__
 
+`Invert`
+"""""""""
+.. autoclass:: Invert
+    :members:
+    :special-members: __call__
+
 Regularization
 ^^^^^^^^^^^^^^
 

pyproject.toml

@@ -38,7 +38,6 @@ exclude = "monai/bundle/__main__.py"
 
 [tool.ruff]
 line-length = 133
-lint.ignore-init-module-imports = true
 lint.ignore = ["F401", "E741"]
 
 [tool.pytype]

tests/test_pad_collation.py

@@ -89,7 +89,7 @@ def tearDown(self) -> None:
 
     @parameterized.expand(TESTS)
     def test_pad_collation(self, t_type, collate_method, transform):
-        if t_type == dict:
+        if t_type is dict:
             dataset = CacheDataset(self.dict_data, transform, progress=False)
         else:
             dataset = _Dataset(self.list_data, self.list_labels, transform)
@@ -104,7 +104,7 @@ def test_pad_collation(self, t_type, collate_method, transform):
         loader = DataLoader(dataset, batch_size=10, collate_fn=collate_method)
         # check collation in forward direction
         for data in loader:
-            if t_type == dict:
+            if t_type is dict:
                 shapes = []
                 decollated_data = decollate_batch(data)
                 for d in decollated_data:
@@ -113,7 +113,7 @@ def test_pad_collation(self, t_type, collate_method, transform):
                     self.assertTrue(len(output["image"].applied_operations), len(dataset.transform.transforms))
                 self.assertTrue(len(set(shapes)) > 1)  # inverted shapes must be different because of random xforms
 
-        if t_type == dict:
+        if t_type is dict:
             batch_inverse = BatchInverseTransform(dataset.transform, loader)
             for data in loader:
                 output = batch_inverse(data)