openai / robogym - 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 1,340 units with 9,651 lines of code in units (49.5% of code).

0 very complex units (0 lines of code)
0 complex units (0 lines of code)
16 medium complex units (674 lines of code)
45 simple units (1,060 lines of code)
1,279 very simple units (7,917 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 find() in robogym/utils/env_utils.py	57	20	3
def key_callback() in robogym/viewer/env_viewer.py	43	16	6
def identify_fields() in robogym/randomization/sim.py	47	16	5
def __init__() in robogym/envs/dactyl/common/cube_manipulator.py	55	16	3
def stringify() in robogym/worldgen/parser/normalize.py	32	15	2
def normalize() in robogym/worldgen/parser/normalize.py	23	14	1
def _randomize_sim() in robogym/randomization/sim.py	68	14	2
def edit_wrappers() in robogym/wrappers/named_wrappers.py	30	13	6
def _press_key_callback() in robogym/viewer/robot_control_viewer.py	27	13	5
def _hide_geoms() in robogym/envs/rearrange/simulation/base.py	34	13	4
def convert_to() in robogym/robot/utils/measurement_units.py	16	12	3
def next_goal() in robogym/envs/rearrange/goals/object_state.py	50	12	3
def _set_field() in robogym/wrappers/randomizations.py	38	11	2
def next_goal() in robogym/envs/dactyl/goals/face_curriculum.py	49	11	3
def next_goal() in robogym/envs/dactyl/goals/face_free.py	51	11	3
def from_pycuber() in robogym/envs/dactyl/common/cube_manipulator.py	54	11	2
def _resolve_asset_paths() in robogym/mujoco/mujoco_xml.py	14	10	3
def get_joint_matrix() in robogym/mujoco/forward_kinematics.py	35	10	3
def next_goal() in robogym/envs/dactyl/goals/face_cube_solver.py	40	10	3
def normalize_vector() in robogym/worldgen/parser/normalize.py	16	9	1
def add_extra_menu() in robogym/viewer/robot_control_viewer.py	71	9	1
def relative_goal() in robogym/envs/rearrange/goals/object_state.py	70	9	3
def get_geom_vertices() in robogym/envs/rearrange/common/utils.py	30	9	2
def reset() in robogym/wrappers/dactyl.py	20	8	3
def step() in robogym/wrappers/randomizations.py	26	8	2
def pretty() in robogym/utils/misc.py	13	8	2
def get_gripper_table_contact() in robogym/robot/ur16e/mujoco/simulation/base.py	14	8	1
def _get_goal_info() in robogym/robot_env.py	37	8	1
def __init__() in robogym/envs/rearrange/simulation/composer.py	16	8	4
def _get_simulation_reward_with_done() in robogym/envs/rearrange/common/base.py	19	8	2
def to_pycuber() in robogym/envs/dactyl/common/cube_manipulator.py	31	8	1
def snap_rotate_face_with_threshold() in robogym/envs/dactyl/common/cube_manipulator.py	27	8	5
def observation() in robogym/wrappers/randomizations.py	28	7	2
def _set_field() in robogym/wrappers/cube.py	18	7	2
def load_includes() in robogym/mujoco/mujoco_xml.py	16	7	2
def compute() in robogym/mujoco/forward_kinematics.py	35	7	3
def recolor_occlusion_geoms() in robogym/utils/sensor_utils.py	14	7	2
def filter_actuator_groups() in robogym/robot/shadow_hand/hand_interface.py	11	7	1
def shortname() in robogym/robot/utils/measurement_units.py	14	7	1
def _randomize_lighting() in robogym/envs/rearrange/common/base.py	29	7	1
def _act() in robogym/envs/rearrange/common/base.py	34	7	2
def goal_reachable() in robogym/envs/dactyl/goals/face_cube_solver.py	23	7	3
def initialize() in robogym/envs/dactyl/common/mujoco_modifiers.py	28	7	2
def rotate_face() in robogym/envs/dactyl/common/cube_manipulator.py	26	7	4
def observation() in robogym/wrappers/dactyl.py	16	6	2
def observation() in robogym/wrappers/util.py	11	6	2
def observation() in robogym/wrappers/randomizations.py	18	6	2
def traverse() in robogym/mujoco/forward_kinematics.py	27	6	2
def icp() in robogym/utils/icp.py	21	6	6
def gym_space_from_arrays() in robogym/utils/env_utils.py	11	6	1