fix: formatting issues

Author: jharlow-intel

benchmarks/benchmarks/binary.py

@@ -1,10 +1,12 @@
 import dpctl
 import dpctl.tensor as dpt
 
-SHARED_QUEUE = dpctl.SyclQueue(property='enable_profiling')
+SHARED_QUEUE = dpctl.SyclQueue(property="enable_profiling")
+
 
 class Binary:
     """Benchmark class for binary operations on SYCL devices."""
+
     timeout = 300.0
 
     def setup(self):
@@ -13,9 +15,9 @@ def setup(self):
         self.iterations = 1
         self.n_values = 10**8
 
-
     def run_bench(self, q, reps, n_max, dtype1, dtype2, op):
         """Run the benchmark for a specific function and dtype combination."""
+
         def get_sizes(n):
             s = []
             m = 8192
@@ -25,7 +27,6 @@ def get_sizes(n):
             s.append(n)
             return s
 
-
         x1 = dpt.ones(n_max, dtype=dtype1, sycl_queue=q)
         x2 = dpt.ones(n_max, dtype=dtype2, sycl_queue=q)
         r = op(x1, x2)
@@ -42,7 +43,9 @@ def get_sizes(n):
             n_iters = int((max_bytes / n_bytes) * reps)
 
             while True:
-                timer = dpctl.SyclTimer(device_timer="order_manager", time_scale=1e9)
+                timer = dpctl.SyclTimer(
+                    device_timer="order_manager", time_scale=1e9
+                )
                 with timer(q):
                     for _ in range(n_iters):
                         op(x1_n, x2_n, out=r_n)
@@ -99,7 +102,9 @@ def get_sizes(n):
 
 # Dynamically create benchmark methods at the module level
 def generate_benchmark_functions():
-    """Dynamically create benchmark functions for each function and dtype combination."""
+    """Dynamically create benchmark functions for each
+    function and dtype combination.
+    """
     for fn in function_list:
         fn_name = fn.name_
         for dtype1, dtype2 in dtypes[fn]:
@@ -122,4 +127,4 @@ def benchmark_method(self, fn=fn, dtype1=dtype1, dtype2=dtype2):
 
 
 # Generate the benchmark functions
-generate_benchmark_functions()
+generate_benchmark_functions()

benchmarks/benchmarks/ef_bench_add.py

@@ -1,12 +1,13 @@
 import dpctl
 import dpctl.tensor as dpt
-import dpctl.utils as dpu
 import dpctl.tensor._tensor_elementwise_impl as tei
+import dpctl.utils as dpu
+
 
 class EfBenchAdd:
 
     def time_ef_bench_add(self):
-        q = dpctl.SyclQueue(property='enable_profiling')
+        q = dpctl.SyclQueue(property="enable_profiling")
         n = 2**26
         reps = 50
 
@@ -24,6 +25,7 @@ def time_ef_bench_add(self):
         with timer(q):
             for _ in range(reps):
                 deps = m.submitted_events
-                ht_e, c_e = op2(src1=x1, src2=x2, dst=r, sycl_queue=q, depends=deps)
+                ht_e, c_e = op2(
+                    src1=x1, src2=x2, dst=r, sycl_queue=q, depends=deps
+                )
                 m.add_event_pair(ht_e, c_e)
-