MLIA-507 Upgrade Vela version

Upgrade Vela version from 3.3.0 to 3.4.0.

- Adapt code to use new typing notation by replacing `numpy.array` with `numpy.ndarray` where necessary.

Change-Id: I035e9564d448652aa09a52d79c71ef09663ea776

2 files changed, 2 insertions, 2 deletions

diff --git a/tests/mlia/test_nn_tensorflow_tflite_metrics.py b/tests/mlia/test_nn_tensorflow_tflite_metrics.py
index 805f7d1..cf7aaeb 100644
--- a/tests/mlia/test_nn_tensorflow_tflite_metrics.py
+++ b/tests/mlia/test_nn_tensorflow_tflite_metrics.py
@@ -31,7 +31,7 @@ def _dummy_keras_model() -> tf.keras.Model:
 
 
 def _sparse_binary_keras_model() -> tf.keras.Model:
-    def get_sparse_weights(shape: List[int]) -> np.array:
+    def get_sparse_weights(shape: List[int]) -> np.ndarray:
         weights = np.zeros(shape)
         with np.nditer(weights, op_flags=["writeonly"]) as weight_iterator:
             for idx, value in enumerate(weight_iterator):
diff --git a/tests/mlia/utils/common.py b/tests/mlia/utils/common.py
index 4313cde..932343e 100644
--- a/tests/mlia/utils/common.py
+++ b/tests/mlia/utils/common.py
@@ -7,7 +7,7 @@ import numpy as np
 import tensorflow as tf
 
 
-def get_dataset() -> Tuple[np.array, np.array]:
+def get_dataset() -> Tuple[np.ndarray, np.ndarray]:
     """Return sample dataset."""
     mnist = tf.keras.datasets.mnist
     (x_train, y_train), _ = mnist.load_data()