azure / azureml-examples

Intro

Unit size measurements show the distribution of size of units of code (methods, functions...).
Units are classified in four categories based on their size (lines of code): 1-20 (small units), 20-50 (medium size units), 51-100 (long units), 101+ (very long units).
You should aim at keeping units small (< 20 lines). Long units may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.

Learn more...

Unit Size Overall

There are 1,473 units with 21,920 lines of code in units (7.5% of code).

11 very long units (1,614 lines of code)
57 long units (3,716 lines of code)
220 medium size units (6,994 lines of code)
335 small units (5,020 lines of code)
850 very small units (4,576 lines of code)

Legend:

101+

51-100

21-50

11-20

1-10

Unit Size per Extension

101+

51-100

21-50

11-20

1-10

Unit Size per Logical Component

primary logical decomposition

101+

51-100

21-50

11-20

1-10

Alternative Visuals

3D view of all units

Longest Units

Top 50 longest units

Unit	# lines	McCabe index	# params
def add_parser_arguments() in sdk/python/jobs/pipelines/2d_image_classification_with_densenet/imagecnn_train/main.py	193	1	1
def add_parser_arguments() in cli/jobs/pipelines-with-components/image_classification_with_densenet/image_cnn_train/main.py	193	1	1
def main() in sdk/python/jobs/pipelines/2d_image_classification_with_densenet/imagecnn_train/main.py	192	33	2
def main() in cli/jobs/pipelines-with-components/image_classification_with_densenet/image_cnn_train/main.py	192	33	2
def build_arguments_parser() in cli/jobs/pipelines/tensorflow-image-segmentation/src/run.py	187	2	1
def build_arguments_parser() in tutorials/e2e-distributed-pytorch-image/src/pytorch_dl_train/train.py	128	2	1
public static async Task SubmitAutoMLForecastAsync() in sdk/dotnet/AzureML-Samples-CSharp/Jobs/AutomlJob/AutoMLJobOperations.cs	110	1	6
def main() in sdk/python/foundation-models/system/finetune/video-multi-object-tracking/mot2coco.py	108	27	0
def main() in cli/foundation-models/system/finetune/video-multi-object-tracking/mot2coco.py	107	27	1
def write_readme() in cli/readme.py	102	22	6
def main() in cli/jobs/nebulaml/PyTorch_CNN_MNIST/train.py	102	8	0
static async Task PerformMachineLearningOperations() in sdk/dotnet/AzureML-Samples-CSharp/Program.cs	100	9	0
public static async Task SubmitAutoMLImageObjectDetectionAsync() in sdk/dotnet/AzureML-Samples-CSharp/Jobs/AutomlJob/AutoMLJobOperations.cs	96	1	6
public static async Task SubmitAutoMLImageClassificationAsync() in sdk/dotnet/AzureML-Samples-CSharp/Jobs/AutomlJob/AutoMLJobOperations.cs	93	1	6
def main() in cli/readme.py	92	25	1
public static async Task SubmitSweepJobAsync() in sdk/dotnet/AzureML-Samples-CSharp/Jobs/SweepJob/SweepJobOperations.cs	88	1	7
def add_argument() in cli/jobs/nebulaml/cifar10_deepspeed/src/cifar10_deepspeed.py	88	1	0
def trainer() in sdk/python/foundation-models/healthcare-ai/medimageinsight/classification_demo/adaptor_training/training.py	83	8	7
public static async Task GetOrCreateOnlineDeploymentAsync() in sdk/dotnet/AzureML-Samples-CSharp/Endpoints/Online/ManagedOnlineEndpointOperations.cs	82	2	8
def setup_config() in tutorials/e2e-distributed-pytorch-image/src/pytorch_dl_train/train.py	77	11	2
def create_jsonl_and_mltable_files() in cli/jobs/pipelines/automl/image-object-detection-task-fridge-items-pipeline/prepare_data.py	74	9	2
def create_jsonl_and_mltable_files() in cli/jobs/automl-standalone-jobs/cli-automl-image-object-detection-task-fridge-items/prepare_data.py	74	9	2
def create_jsonl_and_mltable_files() in cli/foundation-models/system/finetune/image-object-detection/prepare_data.py	74	9	2
def create_jsonl_and_mltable_files() in cli/foundation-models/system/finetune/image-instance-segmentation/prepare_data.py	74	10	2
public static async Task GetOrCreateBatchDeploymentAsync() in sdk/dotnet/AzureML-Samples-CSharp/Endpoints/Batch/BatchEndpointOperations.cs	71	2	9
public static async Task SubmitAutoMLTextNerAsync() in sdk/dotnet/AzureML-Samples-CSharp/Jobs/AutomlJob/AutoMLJobOperations.cs	71	1	6
public static async Task SubmitAutoMLTextClassificationAsync() in sdk/dotnet/AzureML-Samples-CSharp/Jobs/AutomlJob/AutoMLJobOperations.cs	71	1	6
def getParameters() in cli/endpoints/online/triton/single-model/olive_model_analyzer/Plot_Performance_Results.py	70	31	1
def run() in cli/jobs/pipelines/tensorflow-image-segmentation/src/run.py	69	13	1
def setup_config() in cli/jobs/pipelines/tensorflow-image-segmentation/src/tf_helper/training.py	68	19	2
def _setup_distribution_strategy() in cli/jobs/pipelines/tensorflow-image-segmentation/src/tf_helper/training.py	68	12	1
def main() in cli/jobs/single-step/pytorch/cifar-distributed/src/train.py	68	13	1
def _scan_vulnerabilities() in setup/setup-ci/security-scanner/amlsecscan.py	67	8	1
def prepare_batch_payload() in cli/foundation-models/system/inference/text-to-image/utils/prepare_data_inpainting.py	66	5	1
def run_from_endpoint() in sdk/python/foundation-models/healthcare-ai/medimageinsight/classification_demo/MedImageInsight.py	65	21	4
def train() in sdk/python/jobs/pipelines/2e_image_classification_keras_minist_convnet/train/train.py	64	3	3
public static async Task GetOrCreateComponentVersionAsync() in sdk/dotnet/AzureML-Samples-CSharp/Assets/Component/ComponentOperations.cs	64	1	7
def convert_mask_in_VOC_to_jsonl() in sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-image-instance-segmentation-in-pipeline/jsonl_converter.py	62	8	2
def convert_mask_in_VOC_to_jsonl() in sdk/python/foundation-models/system/finetune/image-instance-segmentation/jsonl_converter.py	62	8	2
def convert_mask_in_VOC_to_jsonl() in cli/jobs/pipelines/automl/image-instance-segmentation-task-fridge-items-pipeline/jsonl_converter.py	62	8	2
def convert_mask_in_VOC_to_jsonl() in cli/jobs/automl-standalone-jobs/cli-automl-image-instance-segmentation-task-fridge-items/jsonl_converter.py	62	8	2
def convert_mask_in_VOC_to_jsonl() in cli/foundation-models/system/finetune/image-instance-segmentation/jsonl_converter.py	62	8	2
def _install() in setup/setup-ci/security-scanner/amlsecscan.py	59	8	1
def create_jsonl_and_mltable_files() in cli/foundation-models/system/finetune/video-multi-object-tracking/prepare_data.py	59	5	2
public static async Task SubmitPipelineJobAsync() in sdk/dotnet/AzureML-Samples-CSharp/Jobs/PipelineJob/PipelineJobOperations.cs	58	1	7
def write_readme() in sdk/python/readme.py	57	13	2
def main() in sdk/python/jobs/single-step/pytorch/distributed-training/src/train.py	57	12	1
def convert() in sdk/python/jobs/automl-standalone-jobs/jsonl-conversion/voc_jsonl_converter.py	57	6	1
def upload_data_and_create_jsonl_mltable_files() in cli/jobs/pipelines/automl/image-instance-segmentation-task-fridge-items-pipeline/prepare_data.py	57	8	2
def main() in cli/jobs/pipelines/cifar-10/src/train-model/main.py	57	15	1