Enable ruff NPY002 rule (#11336)

neural_network/back_propagation_neural_network.py

@@ -51,8 +51,9 @@ class DenseLayer:
         self.is_input_layer = is_input_layer
 
     def initializer(self, back_units):
-        self.weight = np.asmatrix(np.random.normal(0, 0.5, (self.units, back_units)))
-        self.bias = np.asmatrix(np.random.normal(0, 0.5, self.units)).T
+        rng = np.random.default_rng()
+        self.weight = np.asmatrix(rng.normal(0, 0.5, (self.units, back_units)))
+        self.bias = np.asmatrix(rng.normal(0, 0.5, self.units)).T
         if self.activation is None:
             self.activation = sigmoid
 
@@ -174,7 +175,8 @@ class BPNN:
 
 
 def example():
-    x = np.random.randn(10, 10)
+    rng = np.random.default_rng()
+    x = rng.normal(size=(10, 10))
     y = np.asarray(
         [
             [0.8, 0.4],