openai / shap-e - 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 567 units with 4,775 lines of code in units (47.8% of code).

0 very complex units (0 lines of code)
1 complex units (120 lines of code)
4 medium complex units (198 lines of code)
23 simple units (595 lines of code)
539 very simple units (3,862 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 model_from_config() in shap_e/models/configs.py	120	32	4
def render_scene() in shap_e/rendering/blender/blender_script.py	57	18	4
def setup_nodes() in shap_e/rendering/blender/blender_script.py	70	17	3
def space_timesteps() in shap_e/diffusion/gaussian_diffusion.py	35	16	2
def from_rgbd() in shap_e/rendering/point_cloud.py	36	11	3
def mlp_init() in shap_e/models/nn/ops.py	14	9	3
def create_vertex_color_shaders() in shap_e/rendering/blender/blender_script.py	25	9	0
def dumpable() in shap_e/util/collections.py	10	9	2
def _sh() in shap_e/models/nn/encoding.py	200	8	0
def load_view() in shap_e/rendering/blender/view_data.py	24	8	3
def scene_bbox() in shap_e/rendering/blender/blender_script.py	15	8	2
def convert_meshes() in shap_e/rendering/pytorch3d_util.py	19	8	2
def __setitem__() in shap_e/util/collections.py	13	8	3
def write_obj() in shap_e/rendering/mesh.py	15	7	2
def import_model() in shap_e/rendering/blender/blender_script.py	18	7	1
def normalize_scene() in shap_e/rendering/blender/blender_script.py	17	7	0
def setup_material_extraction_shader_for_material() in shap_e/rendering/blender/blender_script.py	39	7	2
def normalize_input_batch() in shap_e/util/data_util.py	9	7	4
def get_named_beta_schedule() in shap_e/diffusion/gaussian_diffusion.py	31	7	3
def get_camera_from_batch() in shap_e/models/renderer.py	18	6	1
def subdict() in shap_e/models/nn/meta.py	13	6	2
def update() in shap_e/models/nn/meta.py	11	6	2
def forward() in shap_e/models/nn/ops.py	16	6	3
def load() in shap_e/rendering/mesh.py	24	6	3
def _combine_rgba() in shap_e/rendering/blender/render.py	13	6	1
def subsample() in shap_e/rendering/point_cloud.py	17	6	3
def remove_alpha() in shap_e/util/image_util.py	17	6	2
def normal_kl() in shap_e/diffusion/gaussian_diffusion.py	17	6	4
def sample_pcl_fps() in shap_e/models/transmitter/channels_encoder.py	12	5	3
def forward() in shap_e/models/nn/pointnet2_utils.py	28	5	3
def superdict() in shap_e/models/nn/meta.py	6	5	2
def named_meta_parameters() in shap_e/models/nn/meta.py	13	5	3
def named_nonmeta_parameters() in shap_e/models/nn/meta.py	13	5	3
def backward() in shap_e/models/nn/checkpoint.py	26	5	2
def save() in shap_e/rendering/mesh.py	13	5	3
def _lookup_table() in shap_e/rendering/mc.py	23	5	1
def tri_mesh() in shap_e/rendering/torch_mesh.py	15	5	1
def setup_material_extraction_shaders() in shap_e/rendering/blender/blender_script.py	7	5	1
def set_socket_value() in shap_e/rendering/blender/blender_script.py	9	5	3
def diffusion_from_config() in shap_e/diffusion/gaussian_diffusion.py	28	5	3
def training_losses() in shap_e/diffusion/k_diffusion.py	18	5	6
def latent_bottleneck_from_config() in shap_e/models/transmitter/bottleneck.py	10	4	4
def views_to_tensor() in shap_e/models/transmitter/multiview_encoder.py	16	4	3
def views_to_tensor() in shap_e/models/transmitter/pc_encoder.py	17	4	3
def views_to_tensor() in shap_e/models/transmitter/channels_encoder.py	17	4	3
def _image_to_pil() in shap_e/models/generation/pretrained_clip.py	9	4	1
def slice_fields() in shap_e/models/stf/renderer.py	9	4	4
def map_tensors() in shap_e/models/query.py	7	4	3
def forward() in shap_e/models/nn/pointnet2_utils.py	17	4	3
def forward() in shap_e/models/nn/pointnet2_utils.py	28	4	5