Fix trigger checks

Author: Wovchena

demos/common/python/model_zoo/model_api/pipelines/async_pipeline.py

@@ -83,7 +83,6 @@ def get_user_config(flags_d: str, flags_nstreams: str, flags_nthreads: int)-> Di
                 # multi-device execution with the CPU + GPU performs best with GPU throttling hint,
                 # which releases another CPU thread (that is otherwise used by the GPU driver for active polling)
                 config['GPU_PLUGIN_THROTTLE'] = '1'
-                 
     return config
 
 

tools/accuracy_checker/accuracy_checker/annotation_converters/convert.py

@@ -328,7 +328,7 @@ def save_annotation(annotation, meta, annotation_file, meta_file, dataset_config
         annotation_dir = annotation_file.parent
         if not annotation_dir.exists():
             annotation_dir.mkdir(parents=True)
-        with AtomicWriteFileHandle(annotation_file,'wb') as file:
+        with AtomicWriteFileHandle(annotation_file, 'wb') as file:
             if conversion_meta:
                 pickle.dump(conversion_meta, file)
             for representation in annotation:

tools/accuracy_checker/accuracy_checker/config/config_reader.py

@@ -472,7 +472,7 @@ def _separate_modules_evaluations(modules_config):
     @staticmethod
     def _previous_configuration_parameters_sharing(config, mode='models'):
         def _share_params_models(models_config):
-            shared_params = {parameter: None for parameter in CONFIG_SHARED_PARAMETERS}
+            shared_params = dict.fromkeys(CONFIG_SHARED_PARAMETERS, None)
             for model in models_config['models']:
                 launchers = model['launchers']
                 if not launchers:
@@ -485,7 +485,7 @@ def _share_params_models(models_config):
                             shared_params[parameter] = launcher[parameter]
 
         def _share_params_modules(modules_config):
-            shared_params = {parameter: None for parameter in CONFIG_SHARED_PARAMETERS}
+            shared_params = dict.fromkeys(CONFIG_SHARED_PARAMETERS, None)
             for evaluation in modules_config['evaluations']:
                 if 'module_config' not in evaluation:
                     continue

tools/accuracy_checker/accuracy_checker/data_readers/data_reader.py

@@ -29,7 +29,7 @@
     BaseField, StringField, ConfigValidator, ConfigError, DictField, BoolField, PathField
 )
 
-REQUIRES_ANNOTATIONS = ['annotation_features_extractor' ,'disk_features_extractor' ]
+REQUIRES_ANNOTATIONS = ['annotation_features_extractor', 'disk_features_extractor' ]
 DOES_NOT_REQUIRED_DATA_SOURCE = REQUIRES_ANNOTATIONS + ['ncf_reader']
 DATA_SOURCE_IS_FILE = ['opencv_capture']
 
@@ -325,7 +325,7 @@ def read_item(self, data_id):
         meta = {
             'input_is_dict_type' : self.config.get('input_is_dict_type', False),
             'output_is_dict_type' : self.config.get('output_is_dict_type', False),
-            }
+        }
         data_rep = DataRepresentation(
             self.read_dispatcher(data_id),
             meta = meta,

tools/accuracy_checker/accuracy_checker/launcher/pytorch_launcher.py

@@ -87,7 +87,7 @@ def __init__(self, config_entry: dict, *args, **kwargs):
         backend = self.compile_kwargs.get('backend', None)
         if self.use_torch_compile and backend == 'openvino':
             try:
-                import openvino.torch # pylint: disable=C0415, W0611
+                importlib.import_module('openvino.torch')  # pylint: disable=C0415, W0611
             except ImportError as import_error:
                 raise ValueError("torch.compile is supported from OpenVINO 2023.1\n{}".format(
                     import_error.msg)) from import_error
@@ -153,7 +153,7 @@ def load_module(self, model_cls, module_args, module_kwargs, checkpoint=None, st
 
             if checkpoint:
                 if isinstance(checkpoint, str) and re.match(CHECKPOINT_URL_REGEX, checkpoint):
-                    checkpoint = urllib.request.urlretrieve(checkpoint)[0]
+                    checkpoint = urllib.request.urlretrieve(checkpoint)[0]  # nosec B310  # disable urllib-urlopen check
                 checkpoint = self._torch.load(
                     checkpoint, map_location=None if self.cuda else self._torch.device('cpu')
                 )

tools/accuracy_checker/accuracy_checker/launcher/pytorch_launcher_readme.md

@@ -54,4 +54,3 @@ launchers:
 
     adapter: classification
 ```
-

tools/accuracy_checker/tests/test_preprocessor.py

@@ -18,7 +18,6 @@
 import cv2
 import numpy as np
 import pytest
-import warnings
 from accuracy_checker.config import ConfigError
 from accuracy_checker.preprocessor import (
     Crop,