huggingface / huggingface-inference-toolkit 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 48 units with 432 lines of code in units (40.3% of code).

0 very complex units (0 lines of code)
1 complex units (60 lines of code)
2 medium complex units (72 lines of code)
4 simple units (104 lines of code)
41 very simple units (196 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 48 most complex units

Unit	# lines	McCabe index	# params
def __call__() in src/huggingface_inference_toolkit/handler.py	60	32	3
def get_input_shapes() in src/huggingface_inference_toolkit/optimum_utils.py	45	14	1
def get_optimum_neuron_pipeline() in src/huggingface_inference_toolkit/optimum_utils.py	27	12	2
def parse_cmdline_and_set_env() in scripts/inf2_env.py	29	8	1
def __init__() in src/huggingface_inference_toolkit/diffusers_utils.py	13	7	5
def check_and_register_custom_pipeline_from_directory() in src/huggingface_inference_toolkit/utils.py	26	7	1
def main() in scripts/inf2_env.py	36	6	0
def convert_params_to_int_or_bool() in src/huggingface_inference_toolkit/utils.py	9	5	1
def __call__() in src/huggingface_inference_toolkit/handler.py	9	4	3
def _is_gpu_available() in src/huggingface_inference_toolkit/utils.py	11	4	0
def get_inference_handler_either_custom_or_default_handler() in src/huggingface_inference_toolkit/handler.py	7	3	2
def strtobool() in src/huggingface_inference_toolkit/env_utils.py	9	3	1
def get_sentence_transformers_pipeline() in src/huggingface_inference_toolkit/sentence_transformers_utils.py	7	3	4
def _get_framework() in src/huggingface_inference_toolkit/utils.py	11	3	0
def setup_logging() in src/huggingface_inference_toolkit/logging.py	14	3	0
def neuron_config_to_env() in scripts/inf2_env.py	4	2	1
def get_env_dict() in scripts/inf2_env.py	5	2	0
def get_diffusers_pipeline() in src/huggingface_inference_toolkit/diffusers_utils.py	4	2	4
def __init__() in src/huggingface_inference_toolkit/sentence_transformers_utils.py	2	2	5
def __init__() in src/huggingface_inference_toolkit/sentence_transformers_utils.py	2	2	5
def __init__() in src/huggingface_inference_toolkit/sentence_transformers_utils.py	2	2	5
def get_deserializer() in src/huggingface_inference_toolkit/serialization/base.py	6	2	1
def get_serializer() in src/huggingface_inference_toolkit/serialization/base.py	6	2	1
def default() in src/huggingface_inference_toolkit/serialization/json_utils.py	7	2	1
def serialize() in src/huggingface_inference_toolkit/serialization/image_utils.py	8	2	2
def create_artifact_filter() in src/huggingface_inference_toolkit/utils.py	8	2	1
def get_device() in src/huggingface_inference_toolkit/utils.py	6	2	0
def sort_neuron_configs() in scripts/inf2_env.py	2	1	1
def lookup_compatible_cached_model() in scripts/inf2_env.py	2	1	0
def check_env_and_neuron_config_compatibility() in scripts/inf2_env.py	2	1	0
def __init__() in src/huggingface_inference_toolkit/handler.py	2	1	0
def __init__() in src/huggingface_inference_toolkit/handler.py	2	1	0
def is_diffusers_available() in src/huggingface_inference_toolkit/diffusers_utils.py	2	1	0
def __call__() in src/huggingface_inference_toolkit/diffusers_utils.py	4	1	0
def is_optimum_neuron_available() in src/huggingface_inference_toolkit/optimum_utils.py	2	1	0
def is_sentence_transformers_available() in src/huggingface_inference_toolkit/sentence_transformers_utils.py	2	1	0
def __call__() in src/huggingface_inference_toolkit/sentence_transformers_utils.py	5	1	3
def __call__() in src/huggingface_inference_toolkit/sentence_transformers_utils.py	3	1	3
def __call__() in src/huggingface_inference_toolkit/sentence_transformers_utils.py	6	1	0
def _load_repository_from_gcs() in src/huggingface_inference_toolkit/vertex_ai_utils.py	2	1	0
def deserialize() in src/huggingface_inference_toolkit/serialization/json_utils.py	2	1	1
def serialize() in src/huggingface_inference_toolkit/serialization/json_utils.py	2	1	2
def deserialize() in src/huggingface_inference_toolkit/serialization/image_utils.py	3	1	1
def deserialize() in src/huggingface_inference_toolkit/serialization/audio_utils.py	2	1	1
def serialize() in src/huggingface_inference_toolkit/serialization/audio_utils.py	2	1	2
def is_optimum_available() in src/huggingface_inference_toolkit/utils.py	2	1	0
def _load_repository_from_hf() in src/huggingface_inference_toolkit/utils.py	6	1	0
def get_pipeline() in src/huggingface_inference_toolkit/utils.py	4	1	0