Update the issue number of signature incompatible

See #729

Author: Benjamin Gorman

monai/apps/datasets.py

@@ -9,7 +9,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from typing import Callable
+from typing import Any, Callable
 
 import os
 import sys

monai/transforms/croppad/array.py

@@ -284,7 +284,7 @@ def __init__(
         self._size: Optional[Sequence[int]] = None
         self._slices: Optional[Tuple[slice, ...]] = None
 
-    def randomize(self, img_size) -> None:  # type: ignore # see issue #495
+    def randomize(self, img_size) -> None:  # type: ignore # see issue #729
         self._size = fall_back_tuple(self.roi_size, img_size)
         if self.random_size:
             self._size = tuple((self.R.randint(low=self._size[i], high=img_size[i] + 1) for i in range(len(img_size))))
@@ -445,7 +445,7 @@ def __init__(
         self.image_threshold = image_threshold
         self.centers = None
 
-    def randomize(self, label, image) -> None:  # type: ignore # see issue #495
+    def randomize(self, label, image) -> None:  # type: ignore # see issue #729
         self.spatial_size = fall_back_tuple(self.spatial_size, default=label.shape[1:])
         self.centers = generate_pos_neg_label_crop_centers(
             label, self.spatial_size, self.num_samples, self.pos_ratio, image, self.image_threshold, self.R

monai/transforms/croppad/dictionary.py

@@ -235,7 +235,7 @@ def __init__(
         self._slices: Optional[Tuple[slice, ...]] = None
         self._size: Optional[Sequence[int]] = None
 
-    def randomize(self, img_size) -> None:  # type: ignore # see issue #495
+    def randomize(self, img_size) -> None:  # type: ignore # see issue #729
         self._size = fall_back_tuple(self.roi_size, img_size)
         if self.random_size:
             self._size = [self.R.randint(low=self._size[i], high=img_size[i] + 1) for i in range(len(img_size))]
@@ -397,7 +397,7 @@ def __init__(
         self.image_threshold = image_threshold
         self.centers = None
 
-    def randomize(self, label, image) -> None:  # type: ignore # see issue #495
+    def randomize(self, label, image) -> None:  # type: ignore # see issue #729
         self.spatial_size = fall_back_tuple(self.spatial_size, default=label.shape[1:])
         self.centers = generate_pos_neg_label_crop_centers(
             label, self.spatial_size, self.num_samples, self.pos_ratio, image, self.image_threshold, self.R

monai/transforms/intensity/array.py

@@ -40,7 +40,7 @@ def __init__(self, prob: float = 0.1, mean: Union[Sequence[float], float] = 0.0,
         self._do_transform = False
         self._noise = None
 
-    def randomize(self, im_shape) -> None:  # type: ignore # see issue #495
+    def randomize(self, im_shape) -> None:  # type: ignore # see issue #729
         self._do_transform = self.R.random() < self.prob
         self._noise = self.R.normal(self.mean, self.R.uniform(0, self.std), size=im_shape)
 

monai/transforms/intensity/dictionary.py

@@ -56,7 +56,7 @@ def __init__(
         self._do_transform = False
         self._noise = None
 
-    def randomize(self, im_shape) -> None:  # type: ignore # see issue #495
+    def randomize(self, im_shape) -> None:  # type: ignore # see issue #729
         self._do_transform = self.R.random() < self.prob
         self._noise = self.R.normal(self.mean, self.R.uniform(0, self.std), size=im_shape)
 

monai/transforms/spatial/array.py

@@ -1342,7 +1342,7 @@ def set_random_state(self, seed: Optional[int] = None, state: Optional[np.random
         super().set_random_state(seed, state)
         return self
 
-    def randomize(self, spatial_size) -> None:  # type: ignore # see issue #495
+    def randomize(self, spatial_size) -> None:  # type: ignore # see issue #729
         self.do_transform = self.R.rand() < self.prob
         self.deform_grid.randomize(spatial_size)
         self.rand_affine_grid.randomize()
@@ -1467,7 +1467,7 @@ def set_random_state(self, seed: Optional[int] = None, state: Optional[np.random
         super().set_random_state(seed, state)
         return self
 
-    def randomize(self, grid_size) -> None:  # type: ignore # see issue #495
+    def randomize(self, grid_size) -> None:  # type: ignore # see issue #729
         self.do_transform = self.R.rand() < self.prob
         if self.do_transform:
             self.rand_offset = self.R.uniform(-1.0, 1.0, [3] + list(grid_size)).astype(np.float32)

monai/transforms/spatial/dictionary.py

@@ -484,7 +484,7 @@ def set_random_state(self, seed: Optional[int] = None, state: Optional[np.random
         super().set_random_state(seed, state)
         return self
 
-    def randomize(self, spatial_size) -> None:  # type: ignore # see issue #495
+    def randomize(self, spatial_size) -> None:  # type: ignore # see issue #729
         self.rand_2d_elastic.randomize(spatial_size)
 
     def __call__(self, data):
@@ -600,7 +600,7 @@ def set_random_state(self, seed: Optional[int] = None, state: Optional[np.random
         super().set_random_state(seed, state)
         return self
 
-    def randomize(self, grid_size) -> None:  # type: ignore # see issue #495
+    def randomize(self, grid_size) -> None:  # type: ignore # see issue #729
         self.rand_3d_elastic.randomize(grid_size)
 
     def __call__(self, data):