aws-samples / aws-cdk-deep-learning-image-vector-embeddings-at-scale-using-aws-batch
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 26 units with 296 lines of code in units (73.1% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 0 medium complex units (0 lines of code)
    • 0 simple units (0 lines of code)
    • 26 very simple units (296 lines of code)
0% | 0% | 0% | 0% | 100%
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% | 0% | 0% | 100%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
batch_job_cdk0% | 0% | 0% | 0% | 100%
src_batch_job/source0% | 0% | 0% | 0% | 100%
src_lambda0% | 0% | 0% | 0% | 100%
batch_job_cdk/constructs0% | 0% | 0% | 0% | 100%
src_batch_job0% | 0% | 0% | 0% | 100%
ROOT0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 20 most complex units
Unit# linesMcCabe index# params
def process()
in src_batch_job/source/image_processor.py
 21 4 3
def handler()
in src_lambda/main.py
 39 4 2
def split()
in src_lambda/main.py
 8 3 4
def correct_channel()
in src_batch_job/source/model.py
 6 2 2
def get_mandatory_env()
in src_batch_job/main.py
 7 2 1
def main()
in src_batch_job/main.py
 19 2 0
def profile_arn()
in batch_job_cdk/constructs/instance_profile.py
 4 2 1
7 2 1
def batch()
in src_lambda/main.py
 5 2 3
def __init__()
in src_batch_job/source/model.py
 5 1 1
def preprocess_image()
in src_batch_job/source/model.py
 15 1 2
def to_vector()
in src_batch_job/source/model.py
 7 1 2
def __init__()
in src_batch_job/source/image_processor.py
 7 1 4
def _s3_read_object()
in src_batch_job/source/image_processor.py
 3 1 2
def _s3_read_image_file()
in src_batch_job/source/image_processor.py
 2 1 2
def _s3_read_textual_file()
in src_batch_job/source/image_processor.py
 2 1 2
def _read_paths_from_source()
in src_batch_job/source/image_processor.py
 2 1 2
def _dynamodb_itemize()
in src_batch_job/source/image_processor.py
 12 1 3
def _dynamodb_put()
in src_batch_job/source/image_processor.py
 2 1 2
def _vectorize()
in src_batch_job/source/image_processor.py
 3 1 2