GoogleCloudPlatform / ml-on-gcp - Conditional Complexity

Intro

Conditional complexity (also called cyclomatic complexity) is a term used to measure the complexity of software. The term refers to the number of possible paths through a program function. A higher value ofter means higher maintenance and testing costs (infosecinstitute.com).
Conditional complexity is calculated by counting all conditions in the program that can affect the execution path (e.g. if statement, loops, switches, and/or operators, try and catch blocks...).
Conditional complexity is measured at the unit level (methods, functions...).
Units are classified in four categories based on the measured McCabe index: 1-5 (simple units), 6-10 (medium complex units), 11-25 (complex units), 26+ (very complex units).

Learn more...

Conditional Complexity Overall

There are 702 units with 9,911 lines of code in units (45.8% of code).

0 very complex units (0 lines of code)
2 complex units (192 lines of code)
18 medium complex units (1,456 lines of code)
63 simple units (1,932 lines of code)
619 very simple units (6,331 lines of code)

Legend:

51+

26-50

11-25

6-10

1-5

Alternative Visuals

3D view of all units

Conditional Complexity per Extension

51+

26-50

11-25

6-10

1-5

Conditional Complexity per Logical Component

primary logical decomposition

51+

26-50

11-25

6-10

1-5

Most Complex Units

Top 50 most complex units

Unit	# lines	McCabe index	# params
def resnet_main() in example_zoo/tensorflow/models/keras_cifar_main/official/resnet/resnet_run_loop.py	96	31	5
def resnet_main() in example_zoo/tensorflow/models/keras_imagenet_main/official/resnet/resnet_run_loop.py	96	31	5
def resnet_model_fn() in example_zoo/tensorflow/models/keras_cifar_main/official/resnet/resnet_run_loop.py	78	23	14
def resnet_model_fn() in example_zoo/tensorflow/models/keras_imagenet_main/official/resnet/resnet_run_loop.py	78	23	14
def _filter_index_sort() in example_zoo/tensorflow/models/ncf_main/official/recommendation/data_preprocessing.py	63	16	2
def main() in example_zoo/tensorflow/probability/bayesian_neural_network/trainer/bayesian_neural_network.py	98	15	1
def train_and_evaluate() in tutorials/tensorflow/mlflow_gcp/trainer/task.py	120	14	1
def main() in example_zoo/tensorflow/probability/deep_exponential_family/trainer/deep_exponential_family.py	69	13	1
def define_base() in example_zoo/tensorflow/models/ncf_main/official/utils/flags/_base.py	75	13	10
def define_base() in example_zoo/tensorflow/models/keras_cifar_main/official/utils/flags/_base.py	75	13	10
def define_base() in example_zoo/tensorflow/models/mnist/official/utils/flags/_base.py	75	13	10
def define_base() in example_zoo/tensorflow/models/keras_imagenet_main/official/utils/flags/_base.py	75	13	10
def main() in example_zoo/tensorflow/probability/vq_vae/trainer/vq_vae.py	103	12	1
def define_performance() in example_zoo/tensorflow/models/ncf_main/official/utils/flags/_performance.py	94	12	10
def define_performance() in example_zoo/tensorflow/models/keras_cifar_main/official/utils/flags/_performance.py	94	12	10
def define_performance() in example_zoo/tensorflow/models/mnist/official/utils/flags/_performance.py	94	12	10
def define_performance() in example_zoo/tensorflow/models/keras_imagenet_main/official/utils/flags/_performance.py	94	12	10
def load_nips2011_papers() in example_zoo/tensorflow/probability/deep_exponential_family/trainer/deep_exponential_family.py	29	11	1
def main() in example_zoo/tensorflow/probability/grammar_vae/trainer/grammar_vae.py	69	11	1
def run() in example_zoo/tensorflow/models/keras_imagenet_main/official/resnet/keras/keras_imagenet_main.py	73	11	1
def main() in example_zoo/tensorflow/probability/latent_dirichlet_allocation_edward2/trainer/latent_dirichlet_allocation_edward2.py	37	10	1
def main() in example_zoo/tensorflow/probability/latent_dirichlet_allocation_distributions/trainer/latent_dirichlet_allocation_distributions.py	37	10	1
def process_record_dataset() in example_zoo/tensorflow/models/keras_cifar_main/official/resnet/resnet_run_loop.py	29	10	9
def process_record_dataset() in example_zoo/tensorflow/models/keras_imagenet_main/official/resnet/resnet_run_loop.py	29	10	9
def process_script() in example_zoo/tools/source_finder.py	19	10	2
def upload_file() in dlvm/nvidia/webapp/server.py	30	10	0
def deploy_model() in tutorials/tensorflow/mlflow_gcp/trainer/model_deployment.py	46	10	5
def _partition_space() in tutorials/sklearn/hpsearch/gke_parallel.py	51	10	2
def main() in example_zoo/tensorflow/probability/generative_adversarial_network/trainer/generative_adversarial_network.py	68	9	1
def run_ncf() in example_zoo/tensorflow/models/ncf_main/official/recommendation/ncf_main.py	71	9	1
def get_distribution_strategy() in example_zoo/tensorflow/models/ncf_main/official/utils/misc/distribution_utils.py	26	9	3
def _transform_csv() in example_zoo/tensorflow/models/ncf_main/official/datasets/movielens.py	16	9	6
def run() in example_zoo/tensorflow/models/keras_cifar_main/official/resnet/keras/keras_cifar_main.py	75	9	1
def get_distribution_strategy() in example_zoo/tensorflow/models/keras_cifar_main/official/utils/misc/distribution_utils.py	26	9	3
def get_distribution_strategy() in example_zoo/tensorflow/models/mnist/official/utils/misc/distribution_utils.py	26	9	3
def run_mnist() in example_zoo/tensorflow/models/mnist/official/mnist/mnist.py	47	9	1
def get_distribution_strategy() in example_zoo/tensorflow/models/keras_imagenet_main/official/utils/misc/distribution_utils.py	26	9	3
def runner() in gce/survival-training/wrapper/train.py	50	9	5
def load_data() in tutorials/tensorflow/mlflow_gcp/trainer/utils.py	17	9	4
def build_stats() in example_zoo/tensorflow/models/keras_cifar_main/official/resnet/keras/keras_common.py	22	8	3
def __init__() in example_zoo/tensorflow/models/keras_cifar_main/official/resnet/resnet_model.py	38	8	14
def build_stats() in example_zoo/tensorflow/models/keras_imagenet_main/official/resnet/keras/keras_common.py	22	8	3
def __init__() in example_zoo/tensorflow/models/keras_imagenet_main/official/resnet/resnet_model.py	38	8	14
def build_pipes() in example_zoo/tools/cmle_package.py	53	8	1
def build_input_pipeline() in example_zoo/tensorflow/probability/vq_vae/trainer/vq_vae.py	29	7	4
def model_fn() in example_zoo/tensorflow/probability/latent_dirichlet_allocation_edward2/trainer/latent_dirichlet_allocation_edward2.py	81	7	5
def newsgroups_dataset() in example_zoo/tensorflow/probability/latent_dirichlet_allocation_edward2/trainer/latent_dirichlet_allocation_edward2.py	24	7	4
def model_fn() in example_zoo/tensorflow/probability/latent_dirichlet_allocation_distributions/trainer/latent_dirichlet_allocation_distributions.py	68	7	5
def newsgroups_dataset() in example_zoo/tensorflow/probability/latent_dirichlet_allocation_distributions/trainer/latent_dirichlet_allocation_distributions.py	24	7	4
def main() in example_zoo/tensorflow/probability/logistic_regression/trainer/logistic_regression.py	48	7	1