Fix lint issues

Author: DylanRussell

opentelemetry-sdk/benchmarks/metrics/test_benchmark_metrics_histogram.py

@@ -71,18 +71,18 @@ def benchmark_histogram_record_10():
 
 @pytest.mark.parametrize("num_labels", [1, 3])
 def test_histogram_record_10_small_mapping_attrs(benchmark, num_labels):
-    def test_histogram_record_10_complex_attrs():
+    def test_histogram_record_10_attrs():
         hist10.record(
             random.random() * MAX_BOUND_VALUE,
             attributes={f"Key{i}": {"k1": "v1"} for i in range(num_labels)},
         )
 
-    benchmark(test_histogram_record_10_complex_attrs)
+    benchmark(test_histogram_record_10_attrs)
 
 
 @pytest.mark.parametrize("num_labels", [1, 3])
 def test_histogram_record_10_complex_attrs(benchmark, num_labels):
-    def test_histogram_record_10_complex_attrs():
+    def test_histogram_record_10_attrs():
         hist10.record(
             random.random() * MAX_BOUND_VALUE,
             attributes={
@@ -91,12 +91,12 @@ def test_histogram_record_10_complex_attrs():
             },
         )
 
-    benchmark(test_histogram_record_10_complex_attrs)
+    benchmark(test_histogram_record_10_attrs)
 
 
 @pytest.mark.parametrize("num_labels", [1, 3])
 def test_histogram_record_10_array_attrs(benchmark, num_labels):
-    def test_histogram_record_10_array_attrs():
+    def test_histogram_record_10_attrs():
         hist10.record(
             random.random() * MAX_BOUND_VALUE,
             attributes={
@@ -105,12 +105,12 @@ def test_histogram_record_10_array_attrs():
             },
         )
 
-    benchmark(test_histogram_record_10_array_attrs)
+    benchmark(test_histogram_record_10_attrs)
 
 
 @pytest.mark.parametrize("num_labels", [1, 3])
 def test_histogram_record_10_json_string_attrs(benchmark, num_labels):
-    def test_histogram_record_10_json_string_attrs():
+    def test_histogram_record_10_attrs():
         hist10.record(
             random.random() * MAX_BOUND_VALUE,
             attributes={
@@ -121,7 +121,7 @@ def test_histogram_record_10_json_string_attrs():
             },
         )
 
-    benchmark(test_histogram_record_10_json_string_attrs)
+    benchmark(test_histogram_record_10_attrs)
 
 
 @pytest.mark.parametrize("num_labels", [0, 1, 3, 5, 7])

opentelemetry-sdk/src/opentelemetry/sdk/metrics/_internal/_view_instrument_match.py

@@ -31,9 +31,9 @@
 def _hash_attributes(value: Attributes | AttributeValue) -> _HashedAttributes:
     if value is None or isinstance(value, (str, int, float, bool, bytes)):
         return value
-    elif isinstance(value, Sequence):
+    if isinstance(value, Sequence):
         return tuple(_hash_attributes(v) for v in value)
-    elif isinstance(value, Mapping):
+    if isinstance(value, Mapping):
         return tuple((k, _hash_attributes(value[k])) for k in sorted(value))
     raise TypeError(f"Invalid value type for attributes: {type(value)}")