facebookresearch / habitat-matterport3d-dataset
Conditional Complexity

The distribution of complexity of units (measured with McCabe index).

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 35 units with 265 lines of code in units (25.1% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 1 medium complex units (80 lines of code)
    • 1 simple units (21 lines of code)
    • 33 very simple units (164 lines of code)
0% | 0% | 30% | 7% | 61%
Legend:
51+
26-50
11-25
6-10
1-5
Alternative Visuals
Conditional Complexity per Extension
51+
26-50
11-25
6-10
1-5
py0% | 0% | 30% | 7% | 61%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
quality_comparison0% | 0% | 45% | 11% | 42%
common0% | 0% | 0% | 0% | 100%
scale_comparison0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 20 most complex units
Unit# linesMcCabe index# params
def measure_reconstruction_completeness()
in quality_comparison/measure_reconstruction_completeness.py
 80 11 1
def is_image_defective()
in quality_comparison/measure_reconstruction_completeness.py
 21 7 1
def get_filtered_scenes()
in common/utils.py
 10 4 2
def extract_rgb_images()
in quality_comparison/extract_mp3d_real.py
 11 3 2
def extract_rgb_images()
in quality_comparison/extract_gibson_real.py
 11 3 2
def measure_visual_fidelity()
in quality_comparison/measure_visual_fidelity.py
 13 3 1
9 2 2
def robust_load_sim()
in common/utils.py
 11 2 1
7 2 2
def robust_load_sim()
in quality_comparison/extract_sim.py
 8 2 2
def get_scene_name()
in quality_comparison/extract_sim.py
 6 2 2
def get_geodesic_distance()
in scale_comparison/metrics.py
 2 1 0
def get_euclidean_distance()
in scale_comparison/metrics.py
 2 1 2
def get_navcomplexity()
in scale_comparison/metrics.py
 2 1 0
def get_triangle_areas()
in scale_comparison/metrics.py
 5 1 1
def transform_coordinates_hsim_to_trimesh()
in scale_comparison/metrics.py
 3 1 1
def get_floor_navigable_extents()
in scale_comparison/metrics.py
 2 1 0
def compute_navigable_area()
in scale_comparison/metrics.py
 2 1 0
def compute_navigation_complexity()
in scale_comparison/metrics.py
 6 1 0
def compute_scene_clutter()
in scale_comparison/metrics.py
 4 1 0