Add SignalFillEmptyd tranform

monai/transforms/signal/dictionary.py

@@ -0,0 +1,52 @@
+# Copyright (c) MONAI Consortium
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#     http://www.apache.org/licenses/LICENSE-2.0
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""
+A collection of dictionary-based wrappers around the signal operations defined in :py:class:`monai.transforms.signal.array`.
+
+Class names are ended with 'd' to denote dictionary-based transforms.
+"""
+
+from __future__ import annotations
+
+from collections.abc import Hashable, Mapping
+
+from monai.config.type_definitions import KeysCollection, NdarrayOrTensor
+from monai.transforms.signal.array import SignalFillEmpty
+from monai.transforms.transform import MapTransform
+
+__all__ = ["SignalFillEmptyd", "SignalFillEmptyD", "SignalFillEmptyDict"]
+
+
+class SignalFillEmptyd(MapTransform):
+    """
+    Applies the SignalFillEmptyd transform on the input. All NaN values will be replaced with the
+    replacement value.
+
+    Args:
+        keys: keys of the corresponding items to model output.
+        allow_missing_keys: don't raise exception if key is missing.
+        replacement: The value that the NaN entries shall be mapped to.
+    """
+
+    backend = SignalFillEmpty.backend
+
+    def __init__(self, keys: KeysCollection = None, allow_missing_keys: bool = False, replacement=0.0):
+        super().__init__(keys, allow_missing_keys)
+        self.signal_fill_empty = SignalFillEmpty(replacement=replacement)
+
+    def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> Mapping[Hashable, NdarrayOrTensor]:
+        for key in self.key_iterator(data):
+            data[key] = self.signal_fill_empty(data[key])
+
+        return data
+
+
+SignalFillEmptyD = SignalFillEmptyDict = SignalFillEmptyd