class_docstr: 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.
code: 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)
  
file_path: MONAI/monai/transforms/signal/dictionary.py
imports: 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
label_desc: Use image node_id 1 to create a new SignalFillEmptyd object from inherited base classes: MapTransform with example: obj = SignalFillEmptyd(keys, allow_missing_keys, replacement)