Fix Pylint

Signed-off-by: Kim, Vinnam <[email protected]>

Author: vinnamkim

nncf/config/schemata/experimental_schema.py

@@ -305,9 +305,12 @@
         "compression_rate": with_attributes(NUMBER, description="Target compression rate"),
         "criteria": with_attributes(STRING, description="Criteria to measure the distance between the target "
                                     "compression rate and the currrent compression rate. Choose L1 or L2."),
-        "flip_loss": with_attributes(BOOLEAN, description="If true, we compute the compression loss by "
-                                     "|1 / target_compression_rate - (current_model_size / target_model_size)|, rather than "
-                                     "|target_compression_rate - (target_model_size / current_model_size)|."),
+        "flip_loss": with_attributes(
+            BOOLEAN,
+            description="If true, we compute the compression loss by "
+            "|1 / target_compression_rate - (current_model_size / target_model_size)|, "
+            "otherwise, we compute it by "
+            "|target_compression_rate - (target_model_size / current_model_size)|."),
         "alpha": with_attributes(NUMBER, description="Scale multiplier for the compression loss."),
     },
     "additionalProperties": False

tests/torch/experimental/fracbits/conftest.py

@@ -24,8 +24,8 @@ def set_manual_seed():
     torch.manual_seed(3003)
 
 
-@pytest.fixture(scope="function")
-def linear_problem(num_bits: int = 4, sigma: float = 0.2):
+@pytest.fixture(scope="function", name="linear_problem")
+def fxt_linear_problem(num_bits: int = 4, sigma: float = 0.2):
     set_manual_seed()
 
     levels = 2 ** num_bits
@@ -48,11 +48,11 @@ def qspec(request):
                            logarithm_scale=False)
 
 
-@pytest.fixture
-def config(model_size: int = 4):
-    config = get_empty_config(model_size)
+@pytest.fixture(name="config")
+def fxt_config(model_size: int = 4):
+    new_config = get_empty_config(model_size)
 
-    config["compression"] = {
+    new_config["compression"] = {
         "algorithm": "fracbits_quantization",
         "initializer": {
             "range": {
@@ -68,12 +68,12 @@ def config(model_size: int = 4):
             "alpha": 1.0
         }
     }
-    register_bn_adaptation_init_args(config)
-    return config
+    register_bn_adaptation_init_args(new_config)
+    return new_config
 
 
-@pytest.fixture
-def conv_model():
+@pytest.fixture(name="conv_model")
+def fxt_conv_model():
     set_manual_seed()
     return BasicConvTestModel()
 

tests/torch/experimental/fracbits/test_builder.py

@@ -118,5 +118,5 @@ def test_statistics(config, conv_model):
     stats: NNCFStatistics = ctrl.statistics()
     assert stats.quantization is not None
 
-    dict_stats = {k: v for k, v in stats}
+    dict_stats = dict(stats)
     assert dict_stats[ctrl.name] is not None