diff --git a/determine_tests.py b/determine_tests.py
index 4222589801c83..1f72b9f0cb514 100644
--- a/determine_tests.py
+++ b/determine_tests.py
@@ -61,7 +61,9 @@ def get_all_tests():
             + ["ivy_tests"]
         )
         directories_filtered = [
-            x for x in directories if not (x.endswith("__pycache__") or "hypothesis" in x)
+            x
+            for x in directories
+            if not (x.endswith("__pycache__") or "hypothesis" in x)
         ]
         directories = set(directories_filtered)
         for test_backend in new_tests[old_num_tests:num_tests]:
diff --git a/ivy/functional/frontends/torch/miscellaneous_ops.py b/ivy/functional/frontends/torch/miscellaneous_ops.py
index c50de5e6e1d05..f76e8cd805f9d 100644
--- a/ivy/functional/frontends/torch/miscellaneous_ops.py
+++ b/ivy/functional/frontends/torch/miscellaneous_ops.py
@@ -42,7 +42,9 @@ def trace(input):
     return ivy.astype(ivy.trace(input), target_type)
 
 
-@with_unsupported_dtypes({"1.11.0 and below": ("int8", "float16", "bfloat16", "bool")}, "torch")
+@with_unsupported_dtypes(
+    {"1.11.0 and below": ("int8", "float16", "bfloat16", "bool")}, "torch"
+)
 @to_ivy_arrays_and_back
 def tril_indices(row, col, offset=0, *, dtype="int64", device="cpu", layout=None):
     sample_matrix = ivy.tril(ivy.ones((row, col), device=device), k=offset)
@@ -153,7 +155,15 @@ def logcumsumexp(input, dim, *, out=None):
     return ret
 
 
-@with_supported_dtypes({"1.11.0 and below": ("int32", "int64", )}, "torch")
+@with_supported_dtypes(
+    {
+        "1.11.0 and below": (
+            "int32",
+            "int64",
+        )
+    },
+    "torch",
+)
 @to_ivy_arrays_and_back
 def repeat_interleave(input, repeats, dim=None, *, output_size=None):
     return ivy.repeat(input, repeats, axis=dim)
diff --git a/ivy_tests/test_ivy/test_frontends/test_jax/test_jax_numpy_linalg.py b/ivy_tests/test_ivy/test_frontends/test_jax/test_jax_numpy_linalg.py
index fd1969b82a98d..c729d043e3914 100644
--- a/ivy_tests/test_ivy/test_frontends/test_jax/test_jax_numpy_linalg.py
+++ b/ivy_tests/test_ivy/test_frontends/test_jax/test_jax_numpy_linalg.py
@@ -542,16 +542,20 @@ def test_jax_numpy_solve(
 
 @st.composite
 def norm_helper(draw):
-    dtype, x = draw(helpers.dtype_and_values(
-        shape=st.shared(helpers.get_shape(min_num_dims=1), key="shape"),
-        available_dtypes=helpers.get_dtypes("valid"),
-        min_num_dims=1,
-        safety_factor_scale="log",
-        large_abs_safety_factor=2,
-    ))
-    axis = draw(helpers.get_axis(
-        shape=st.shared(helpers.get_shape(min_num_dims=1), key="shape"),
-    ))
+    dtype, x = draw(
+        helpers.dtype_and_values(
+            shape=st.shared(helpers.get_shape(min_num_dims=1), key="shape"),
+            available_dtypes=helpers.get_dtypes("valid"),
+            min_num_dims=1,
+            safety_factor_scale="log",
+            large_abs_safety_factor=2,
+        )
+    )
+    axis = draw(
+        helpers.get_axis(
+            shape=st.shared(helpers.get_shape(min_num_dims=1), key="shape"),
+        )
+    )
     if type(axis) in [tuple, list]:
         if len(axis) == 2:
             ord_param = draw(
diff --git a/ivy_tests/test_ivy/test_frontends/test_torch/test_creation_ops.py b/ivy_tests/test_ivy/test_frontends/test_torch/test_creation_ops.py
index d4ff7a646d497..8c281232afd2d 100644
--- a/ivy_tests/test_ivy/test_frontends/test_torch/test_creation_ops.py
+++ b/ivy_tests/test_ivy/test_frontends/test_torch/test_creation_ops.py
@@ -9,6 +9,7 @@
 
 # Helper functions
 
+
 @st.composite
 def _fill_value(draw):
     dtype = draw(st.shared(helpers.get_dtypes("numeric", full=False), key="dtype"))[0]
@@ -24,13 +25,17 @@ def _start_stop_step(draw):
     start = draw(helpers.ints(min_value=0, max_value=50))
     stop = draw(helpers.ints(min_value=0, max_value=50))
     if start < stop:
-        step = draw(helpers.ints(min_value=0, max_value=50).filter(
-            lambda x: True if x != 0 else False
-        ))
+        step = draw(
+            helpers.ints(min_value=0, max_value=50).filter(
+                lambda x: True if x != 0 else False
+            )
+        )
     else:
-        step = draw(helpers.ints(min_value=-50, max_value=0).filter(
-            lambda x: True if x != 0 else False
-        ))
+        step = draw(
+            helpers.ints(min_value=-50, max_value=0).filter(
+                lambda x: True if x != 0 else False
+            )
+        )
     return start, stop, step
 
 
@@ -443,7 +448,9 @@ def test_torch_empty_like(
 @handle_frontend_test(
     fn_tree="torch.full_like",
     dtype_and_x=helpers.dtype_and_values(
-        available_dtypes=st.shared(helpers.get_dtypes("numeric", full=False), key="dtype")
+        available_dtypes=st.shared(
+            helpers.get_dtypes("numeric", full=False), key="dtype"
+        )
     ),
     fill_value=_fill_value(),
     dtype=st.shared(helpers.get_dtypes("numeric", full=False), key="dtype"),