📝 Fix more issues with the :raises: formatting

InnerEye/ML/utils/io_util.py

@@ -636,7 +636,7 @@ def store_binary_mask_as_nifti(image: np.ndarray, header: ImageHeader, file_name
  :param header: The image header
  :param file_name: The name of the file for this image.
  :return: the path to the saved image
- :raises: when image is not binary
+ :raises Exception: when image is not binary
  """
  if not is_binary_array(image):
  raise Exception("Array values must be binary.")

InnerEye/ML/utils/ml_util.py

@@ -83,7 +83,7 @@ def validate_dataset_paths(
 
  :param dataset_path: The base path
  :param custom_dataset_csv: The name of the dataset csv file
- :raise ValueError if the dataset does not exist.
+ :raises: ValueError if the dataset does not exist.
  """
  if not dataset_path.is_dir():
  raise ValueError("The dataset_path argument should be the path to the base directory of the data "
@@ -117,7 +117,7 @@ def check_size_matches(arg1: Union[np.ndarray, torch.Tensor],
 
  :param arg1_name: If provided, all error messages will use that string to instead of "arg1"
  :param arg2_name: If provided, all error messages will use that string to instead of "arg2"
- :raise ValueError if shapes don't match
+ :raises: ValueError if shapes don't match
  """
  if arg1 is None or arg2 is None:
  raise Exception("arg1 and arg2 cannot be None.")
@@ -132,7 +132,7 @@ def check_dim(expected: int, actual_shape: Any, name: str) -> None:
  :param expected: expected shape
  :param actual_shape:
  :param name: variable name
- :raise ValueError if not the same shape
+ :raises: ValueError if not the same shape
  """
  if len(actual_shape) != expected:
  raise ValueError("'{}' was expected to have ndim == {}, but is {}. Shape is {}"
@@ -175,8 +175,9 @@ def is_test_from_execution_mode(execution_mode: ModelExecutionMode) -> bool:
  """
  Returns a boolean by checking the execution type. The output is used to determine the properties
  of the forward pass, e.g. model gradient updates or metric computation.
+
  :return: True if execution mode is VAL or TEST, False if TRAIN
- :raise ValueError if the execution mode is invalid
+ :raises ValueError: if the execution mode is invalid
  """
  if execution_mode == ModelExecutionMode.TRAIN:
  return False