fix: use correct variable name

FoldOptLib/fold_modelling/base_engine.py

@@ -11,20 +11,6 @@ def initialise_model(self):
         """
         pass
 
-    # @abstractmethod
-    # def import_data(self):
-    #     """
-    #     Import the data from the input file
-    #     """
-    #     pass
-    #
-    # @abstractmethod
-    # def setup_fold_frame_interpolation(self):
-    #     """
-    #     Setup the fold frame interpolation
-    #     """
-    #     pass
-
     @abstractmethod
     def build_fold_frame(self, axial_normal: np.ndarray) -> None:
         """

FoldOptLib/fold_modelling/engine.py

@@ -10,7 +10,7 @@
 )
 from ..builders import FoldFrameBuilder
 from ..datatypes import DataType, CoordinateType, FitType
-from ..input import InumpyutDataProcessor, OptData
+from ..input import InumpyutDataProcessor, OptData, InputData
 from ..from_loopstructural._fold import FoldEvent
 from ..from_loopstructural._fold_frame import FoldFrame
 from .base_engine import BaseEngine
@@ -56,7 +56,7 @@ class FoldModel(BaseEngine):
     No methods defined yet.
     """
 
-    def __init__(self, data: InumpyutData, dimensions: int = 2, **kwargs: Dict[str, Any]):
+    def __init__(self, data: InputData, dimensions: int = 2, **kwargs: Dict[str, Any]):
         """
         Constructs all the necessary attributes for the FoldModel object.
 
@@ -84,7 +84,7 @@ def __init__(self, data: InumpyutData, dimensions: int = 2, **kwargs: Dict[str,
         self.scaled_points = None
         self.kwargs = kwargs
 
-    def set_data(self, data: InumpyutData) -> None:
+    def set_data(self, data: InputData) -> None:
         """
         Process the data by extracting the gradient data from the data DataFrame.