spotify / tfx - 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 2,444 units with 21,932 lines of code in units (51.4% of code).

0 very complex units (0 lines of code)
6 complex units (475 lines of code)
56 medium complex units (3,269 lines of code)
149 simple units (3,855 lines of code)
2,233 very simple units (14,333 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 is_compatible() in tfx/utils/pure_typing_utils.py	87	43	2
def debug_str() in tfx/dsl/compiler/placeholder_utils.py	122	36	1
def check_strict_json_compat() in tfx/dsl/component/experimental/json_compat.py	45	29	2
def run_component() in tfx/scripts/run_component.py	84	28	4
def _parse_parameters() in tfx/types/component_spec.py	48	28	3
def _dump_ui_metadata() in tfx/orchestration/kubeflow/container_entrypoint.py	89	26	3
def apply() in tfx/dsl/input_resolution/ops/latest_policy_model_op.py	133	25	2
def __setattr__() in tfx/types/artifact.py	70	22	3
def set_parameter_value() in tfx/orchestration/data_types_utils.py	57	22	3
def __getattr__() in tfx/types/artifact.py	44	21	2
def apply() in tfx/dsl/input_resolution/ops/graph_traversal_op.py	90	21	2
def topsorted_layers() in tfx/utils/topsort.py	51	20	7
def apply() in tfx/dsl/input_resolution/ops/latest_pipeline_run_outputs_op.py	60	20	1
def Transform() in tfx/components/transform/executor.py	125	19	6
def Do() in tfx/extensions/google_cloud_ai_platform/tuner/executor.py	75	19	7
def generate_output_split_names() in tfx/components/example_gen/utils.py	42	18	6
def _create_matching_glob_and_regex() in tfx/components/example_gen/utils.py	51	18	6
def _parse_raw_artifact() in tfx/orchestration/kubeflow/v2/container/kubeflow_v2_entrypoint_utils.py	42	18	3
def _run_executor() in tfx/orchestration/kubeflow/v2/container/kubeflow_v2_run_executor.py	103	18	2
def _runMetricsPlotsAndValidationsEvaluatorManualActuation() in tfx/benchmarks/tfma_v2_benchmark_base.py	85	17	5
def type_check() in tfx/types/component_spec.py	28	17	3
def get_artifact_type_class() in tfx/types/artifact_utils.py	39	17	1
def _shrink_descriptors() in tfx/dsl/placeholder/proto_placeholder.py	81	17	2
def __call__() in tfx/dsl/input_resolution/resolver_function.py	66	17	3
def apply() in tfx/dsl/input_resolution/ops/consecutive_spans_op.py	36	17	2
def apply() in tfx/dsl/input_resolution/ops/siblings_op.py	64	17	2
def build() in tfx/orchestration/kubeflow/v2/step_builder.py	147	16	1
def substitute_runtime_parameter() in tfx/orchestration/portable/runtime_parameter_utils.py	44	16	3
def Do() in tfx/extensions/google_cloud_ai_platform/bulk_inferrer/executor.py	96	16	7
def expand() in tfx/components/transform/executor.py	54	15	2
def get_common_fn_args() in tfx/components/trainer/fn_args_utils.py	77	15	5
def check() in tfx/dsl/component/experimental/json_compat.py	19	15	2
def _resolve() in tfx/dsl/input_resolution/strategies/span_range_strategy.py	39	15	3
def _get_artifact_type() in tfx/types/artifact.py	34	14	1
def Do() in tfx/components/evaluator/executor.py	54	13	7
def verify_split_pattern_specs() in tfx/components/example_gen/utils.py	27	13	1
def __init__() in tfx/dsl/components/common/resolver.py	38	13	5
def __init__() in tfx/dsl/component/experimental/decorators.py	35	13	3
def implicit_channel_key() in tfx/dsl/compiler/compiler_utils.py	34	13	1
def _BuildPodManifest() in tfx/components/infra_validator/model_server_runners/kubernetes_runner.py	57	12	1
def package_user_module_file() in tfx/components/util/udf_utils.py	65	12	3
def __init__() in tfx/components/example_gen/input_processor.py	29	12	4
def __init__() in tfx/components/trainer/component.py	57	12	19
def _validate() in tfx/types/component_spec.py	31	12	1
def _build_container_spec() in tfx/orchestration/kubeflow/v2/step_builder.py	59	12	1
def reconstruct_artifact_multimap() in tfx/orchestration/portable/mlmd/event_lib.py	25	12	2
def _topologically_sorted_node_ids() in tfx/orchestration/portable/input_resolution/input_graph_resolver.py	32	12	1
def _launch_cloud_training() in tfx/extensions/google_cloud_ai_platform/runner.py	31	12	5
def WaitUntilRunning() in tfx/components/infra_validator/model_server_runners/kubernetes_runner.py	24	11	2
def _GetServingStatus() in tfx/components/infra_validator/model_server_clients/tensorflow_serving_client.py	15	11	1