diff --git a/requirements.txt b/requirements.txt
index 794fa473f..b928113c2 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,3 +1,3 @@
-numpy>=1.18.0
-gymnasium>=0.26
+numpy>=2.0.0
+gymnasium>=1.0.0
 pygame>=2.2.0
diff --git a/tests/test_wfc/test_wfc_solver.py b/tests/test_wfc/test_wfc_solver.py
index 831238b82..1602cf705 100644
--- a/tests/test_wfc/test_wfc_solver.py
+++ b/tests/test_wfc/test_wfc_solver.py
@@ -18,7 +18,7 @@ def test_entropyLocationHeuristic() -> None:
     wave = np.ones((5, 3, 4), dtype=bool)  # everything is possible
     wave[1:, 0, 0] = False  # first cell is fully observed
     wave[4, :, 2] = False
-    preferences: NDArray[np.float_] = np.ones((3, 4), dtype=np.float_) * 0.5
+    preferences: NDArray[np.float64] = np.ones((3, 4), dtype=np.float64) * 0.5
     preferences[1, 2] = 0.3
     preferences[1, 1] = 0.1
     heu = wfc_solver.makeEntropyLocationHeuristic(preferences)
diff --git a/tests/test_wrappers.py b/tests/test_wrappers.py
index 362d17566..8930285d5 100644
--- a/tests/test_wrappers.py
+++ b/tests/test_wrappers.py
@@ -305,11 +305,11 @@ def test_symbolic_obs_wrapper(env_id):
     goal_pos = env.unwrapped.goal_pos
 
     assert obs["image"].shape == (env.unwrapped.width, env.unwrapped.height, 3)
-    assert np.alltrue(
+    assert np.all(
         obs["image"][agent_pos[0], agent_pos[1], :]
         == np.array([agent_pos[0], agent_pos[1], OBJECT_TO_IDX["agent"]])
     )
-    assert np.alltrue(
+    assert np.all(
         obs["image"][goal_pos[0], goal_pos[1], :]
         == np.array([goal_pos[0], goal_pos[1], OBJECT_TO_IDX["goal"]])
     )
@@ -319,11 +319,11 @@ def test_symbolic_obs_wrapper(env_id):
     goal_pos = env.unwrapped.goal_pos
 
     assert obs["image"].shape == (env.unwrapped.width, env.unwrapped.height, 3)
-    assert np.alltrue(
+    assert np.all(
         obs["image"][agent_pos[0], agent_pos[1], :]
         == np.array([agent_pos[0], agent_pos[1], OBJECT_TO_IDX["agent"]])
     )
-    assert np.alltrue(
+    assert np.all(
         obs["image"][goal_pos[0], goal_pos[1], :]
         == np.array([goal_pos[0], goal_pos[1], OBJECT_TO_IDX["goal"]])
     )