Fix ruff warnings in SOFIE tutorials

In particular, replace `raiseError` which is only available in pytest
fixtures.

Author: guitargeek

tutorials/machine_learning/TMVA_SOFIE_Keras.py

@@ -12,7 +12,10 @@
 import contextlib
 import warnings
 
+import numpy as np
 import ROOT
+from tensorflow.keras.layers import Activation, Dense, Input, Softmax
+from tensorflow.keras.models import Model
 
 # Enable ROOT in batch mode (same effect as -nodraw)
 ROOT.gROOT.SetBatch(True)
@@ -44,10 +47,6 @@ def expect_warning(category, message):
 # Step 1: Create and train a simple Keras model (via embedded Python)
 # -----------------------------------------------------------------------------
 
-import numpy as np
-from tensorflow.keras.layers import Activation, Dense, Input, Softmax
-from tensorflow.keras.models import Model
-
 input = Input(shape=(4,), batch_size=2)
 x = Dense(32)(input)
 x = Activation("relu")(x)
@@ -81,8 +80,6 @@ def expect_warning(category, message):
 # Step 2: Use TMVA::SOFIE to parse the ONNX model
 # -----------------------------------------------------------------------------
 
-import ROOT
-
 # Parse the ONNX model
 
 model = ROOT.TMVA.Experimental.SOFIE.PyKeras.Parse("KerasModel.keras")

tutorials/machine_learning/TMVA_SOFIE_ONNX.py

@@ -179,7 +179,7 @@ def ParseModel(modelFile, verbose=False):
 
     testFailed = abs(y_sofie - y_ort) > 0.01
     if np.any(testFailed):
-        raiseError("Result is different between SOFIE and ONNXRT")
+        raise RuntimeError("Result is different between SOFIE and ONNXRT")
     else:
         print("OK")