Fixed issues with diffusers patching. Use separate PEP8 config for WWB (openvinotoolkit#1113)

Author: AlexKoff88

.github/workflows/llm_bench-python.yml

@@ -49,7 +49,7 @@ jobs:
       run: |
         # stop the build if there are Python syntax errors or undefined names
         python -m flake8 ${{ env.LLM_BENCH_PYPATH }} --config=${{ env.LLM_BENCH_PYPATH }}/setup.cfg
-        python -m flake8 ${{ env.WWB_PATH }} --config=${{ env.LLM_BENCH_PYPATH }}/setup.cfg
+        python -m flake8 ${{ env.WWB_PATH }} --config=${{ env.WWB_PATH }}/setup.cfg
     - name: Create code style diff for samples
       if: failure()
       run: |

tools/who_what_benchmark/setup.cfg

@@ -0,0 +1,28 @@
+[flake8]
+# ignore:
+# D100 - Missing docstring in public module
+# D101 - Missing docstring in public class
+# D103 - Missing docstring in public function
+# VNE001 - Single letter variable names are not allowed
+# W503 - https://www.flake8rules.com/rules/W503.html conflicts with W504
+filename = *.py
+max-line-length = 160
+ignore = E203,D100,D101,D103,VNE001,W503
+max-parameters-amount = 8
+show_source = True
+docstring-convention = google
+enable-extensions = G
+per-file-ignores =
+    # imports order
+    tools/who_what_benchmark/whowhatbench/wwb.py: E402
+
+[pydocstyle]
+convention = google
+
+[mypy]
+ignore_missing_imports = True
+disable_error_code = attr-defined
+show_column_numbers = True
+show_error_context = True
+show_absolute_path = True
+pretty = True

tools/who_what_benchmark/whowhatbench/wwb.py

@@ -1,23 +1,25 @@
-from whowhatbench import EVALUATOR_REGISTRY, MODELTYPE2TASK
-import openvino_genai
-from optimum.intel import OVPipelineForText2Image
-from optimum.exporters.tasks import TasksManager
-from transformers import AutoConfig, AutoTokenizer, AutoModelForCausalLM
-from optimum.utils import NormalizedConfigManager, NormalizedTextConfig
-from optimum.intel.openvino import OVModelForCausalLM
-from diffusers import DiffusionPipeline
-from datasets import load_dataset
+from .utils import patch_diffusers
+
+patch_diffusers()
+
 import argparse
 import difflib
-import os
 import json
-import pandas as pd
-from PIL import Image
 import logging
+import os
 
-from .utils import patch_diffusers
-patch_diffusers()
+import openvino_genai
+import pandas as pd
+from datasets import load_dataset
+from diffusers import DiffusionPipeline
+from optimum.exporters.tasks import TasksManager
+from optimum.intel import OVPipelineForText2Image
+from optimum.intel.openvino import OVModelForCausalLM
+from optimum.utils import NormalizedConfigManager, NormalizedTextConfig
+from PIL import Image
+from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer
 
+from whowhatbench import EVALUATOR_REGISTRY, MODELTYPE2TASK
 
 # Configure logging
 logging.basicConfig(level=logging.INFO)