fix outdated test fixture f

ivy_robot_demos/interactive/drone_spline_planning.py

@@ -218,12 +218,11 @@ def compute_cost_and_sdfs(
     return total_cost, poses, body_positions, ivy.reshape(sdf_vals, (-1, 100, 1))
 
 
-def main(interactive=True, try_use_sim=True, f=None, fw=None):
+def main(interactive=True, try_use_sim=True, fw=None):
     # config
     this_dir = os.path.dirname(os.path.realpath(__file__))
     fw = ivy.choose_random_backend(excluded=["numpy"]) if fw is None else fw
     ivy.set_backend(fw)
-    f = ivy.with_backend(backend=fw) if f is None else f
     sim = Simulator(interactive, try_use_sim)
     lr = 0.05
     num_anchors = 3
@@ -302,5 +301,4 @@ def main(interactive=True, try_use_sim=True, f=None, fw=None):
     )
     parsed_args = parser.parse_args()
     fw = parsed_args.backend
-    f = None if fw is None else ivy.with_backend(backend=fw)
-    main(not parsed_args.non_interactive, not parsed_args.no_sim, f, fw)
+    main(not parsed_args.non_interactive, not parsed_args.no_sim, fw)

ivy_robot_demos/interactive/manipulator_spline_planning.py

@@ -335,4 +335,4 @@ def main(interactive=True, try_use_sim=True, f=None, fw=None):
     parsed_args = parser.parse_args()
     fw = parsed_args.backend
     f = None if fw is None else ivy.with_backend(backend=fw)
-    main(not parsed_args.non_interactive, not parsed_args.no_sim, f, fw)
+    main(not parsed_args.non_interactive, not parsed_args.no_sim, fw)

ivy_robot_demos/run_through.py

@@ -419,4 +419,4 @@ def __init__(self, base_inv_ext_mat=None):
     parsed_args = parser.parse_args()
     fw = parsed_args.backend
     f = None if fw is None else ivy.with_backend(backend=fw)
-    main(not parsed_args.non_interactive, f, fw)
+    main(not parsed_args.non_interactive, fw)

ivy_robot_tests/test_ivy_robot_demos.py

@@ -6,33 +6,33 @@
 import pytest
 
 
-def test_demo_run_through(dev_str, f, fw):
+def test_demo_run_through(dev_str, fw):
     from ivy_robot_demos.run_through import main
 
     if fw in ["numpy", "tensorflow_graph"]:
         # numpy does not support gradients,
         # and the demo currently only supports eager mode
         pytest.skip()
-    main(False, f, fw)
+    main(False, fw)
 
 
 @pytest.mark.parametrize("with_sim", [False])
-def test_demo_drone_spline_planning(with_sim, dev_str, f, fw):
+def test_demo_drone_spline_planning(with_sim, dev_str, fw):
     from ivy_robot_demos.interactive.drone_spline_planning import main
 
     if fw in ["numpy", "tensorflow_graph"]:
         # numpy does not support gradients,
         # and the demo currently only supports eager mode
         pytest.skip()
-    main(False, with_sim, f, fw)
+    main(False, with_sim, fw)
 
 
 @pytest.mark.parametrize("with_sim", [False])
-def test_demo_manipulator_spline_planning(with_sim, dev_str, f, fw):
+def test_demo_manipulator_spline_planning(with_sim, dev_str, fw):
     from ivy_robot_demos.interactive.manipulator_spline_planning import main
 
     if fw in ["numpy", "tensorflow_graph"]:
         # numpy does not support gradients,
         # and the demo currently only supports eager mode
         pytest.skip()
-    main(False, with_sim, f, fw)
+    main(False, with_sim, fw)