Replace legacy numpy usage ruff rule NPY002 (#4516)

manim/mobject/vector_field.py

@@ -791,13 +791,13 @@ class StreamLines(VectorField):
         self.stroke_width = stroke_width
 
         half_noise = self.noise_factor / 2
-        np.random.seed(0)
+        rng = np.random.default_rng(0)
         start_points = np.array(
             [
                 (x - half_noise) * RIGHT
                 + (y - half_noise) * UP
                 + (z - half_noise) * OUT
-                + self.noise_factor * np.random.random(3)
+                + self.noise_factor * rng.random(3)
                 for n in range(self.n_repeats)
                 for x in np.arange(*self.x_range)
                 for y in np.arange(*self.y_range)

manim/scene/scene.py

@@ -221,7 +221,7 @@ class Scene:
         self.foreground_mobjects: list[Mobject] = []
         if self.random_seed is not None:
             random.seed(self.random_seed)
-            np.random.seed(self.random_seed)
+            np.random.default_rng(self.random_seed)
 
     @property
     def camera(self) -> Camera | OpenGLCamera:

manim/utils/qhull.py

@@ -114,8 +114,9 @@ class QuickHull:
 
     def initialize(self, points: PointND_Array) -> None:
         # Sample Points
+        rng = np.random.default_rng()
         simplex = points[
-            np.random.choice(points.shape[0], points.shape[1] + 1, replace=False)
+            rng.choice(points.shape[0], points.shape[1] + 1, replace=False)
         ]
         self.unclaimed = points
         new_internal: PointND = np.mean(simplex, axis=0)

pyproject.toml

@@ -151,6 +151,7 @@ select = [
   "E",
   "F",
   "I",
+  "NPY",
   "PERF",
   "PGH",
   "PT",

tests/module/mobject/test_image.py

@@ -6,7 +6,8 @@ from manim import ImageMobject
 
 @pytest.mark.parametrize("dtype", [np.uint8, np.uint16])
 def test_invert_image(dtype):
-    array = (255 * np.random.rand(10, 10, 4)).astype(dtype)
+    rng = np.random.default_rng()
+    array = (255 * rng.random((10, 10, 4))).astype(dtype)
     image = ImageMobject(array, pixel_array_dtype=dtype, invert=True)
     assert image.pixel_array.dtype == dtype
 

tests/module/utils/test_space_ops.py

@@ -64,7 +64,8 @@ def test_angle_of_vector():
 
 
 def test_angle_of_vector_vectorized():
-    vec = np.random.randn(4, 10)
+    rng = np.random.default_rng()
+    vec = rng.standard_normal((4, 10))
     ref = [np.angle(complex(*v[:2])) for v in vec.T]
     np.testing.assert_array_equal(ref, angle_of_vector(vec))