In general, it's best practice to reduce wildcard imports wherever possible so that it's clear where methods/functions are coming from.
Using ruff's F405 rule, we can see that the following files contain wildcard imports where there are names that are undefined without considering wildcard imports. By specifying what comes from where, we can easily figure out what's important:
retired_benchmarks/translation/gnmt/tensorflow/loadgen_gnmt.py
retired_benchmarks/vision/medical_imaging/3d-unet-brats19/Task043_BraTS_2019.py
tools/submission/submission_checker/checks/accuracy_check.py
tools/submission/submission_checker/checks/compliance_check.py
tools/submission/submission_checker/checks/measurements_checks.py
tools/submission/submission_checker/checks/performance_check.py
tools/submission/submission_checker/checks/power_check.py
tools/submission/submission_checker/checks/system_check.py
tools/submission/submission_checker/loader.py
tools/submission/submission_checker/results.py
tools/submission/submission_checker/utils.py
vision/classification_and_detection/python/backend_ncnn.py
vision/medical_imaging/3d-unet-kits19/base_SUT.py
vision/medical_imaging/3d-unet-kits19/inference_utils.py
vision/medical_imaging/3d-unet-kits19/preprocess.py
vision/medical_imaging/3d-unet-kits19/unet_pytorch_to_onnx.py
In general, it's best practice to reduce wildcard imports wherever possible so that it's clear where methods/functions are coming from.
Using ruff's F405 rule, we can see that the following files contain wildcard imports where there are names that are undefined without considering wildcard imports. By specifying what comes from where, we can easily figure out what's important:
retired_benchmarks/translation/gnmt/tensorflow/loadgen_gnmt.py
retired_benchmarks/vision/medical_imaging/3d-unet-brats19/Task043_BraTS_2019.py
tools/submission/submission_checker/checks/accuracy_check.py
tools/submission/submission_checker/checks/compliance_check.py
tools/submission/submission_checker/checks/measurements_checks.py
tools/submission/submission_checker/checks/performance_check.py
tools/submission/submission_checker/checks/power_check.py
tools/submission/submission_checker/checks/system_check.py
tools/submission/submission_checker/loader.py
tools/submission/submission_checker/results.py
tools/submission/submission_checker/utils.py
vision/classification_and_detection/python/backend_ncnn.py
vision/medical_imaging/3d-unet-kits19/base_SUT.py
vision/medical_imaging/3d-unet-kits19/inference_utils.py
vision/medical_imaging/3d-unet-kits19/preprocess.py
vision/medical_imaging/3d-unet-kits19/unet_pytorch_to_onnx.py