azure / pytest-azurepipelines - 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).

Conditional Complexity Overall

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

Conditional Complexity per Logical Component

primary logical decomposition

51+

26-50

11-25

6-10

1-5

Most Complex Units

Top 14 most complex units

Unit	# lines	McCabe index	# params
def pytest_sessionfinish() in pytest_azurepipelines.py	53	13	2
def pytest_configure() in pytest_azurepipelines.py	11	5	1
def get_resource_folder_path() in pytest_azurepipelines.py	9	5	0
def apply_docker_mappings() in pytest_azurepipelines.py	13	4	2
def inline_css_into_each_html_report_file() in pytest_azurepipelines.py	9	3	1
def getversion() in setup.py	5	2	0
def try_to_inline_css_into_each_html_report_file() in pytest_azurepipelines.py	10	2	1
def record_pipelines_property() in pytest_azurepipelines.py	2	2	1
def add_pipelines_attachment() in pytest_azurepipelines.py	2	2	1
def read() in setup.py	3	1	1
def pytest_addoption() in pytest_azurepipelines.py	37	1	1
def get_resource_file_content() in pytest_azurepipelines.py	3	1	1
def pytest_warning_recorded() in pytest_azurepipelines.py	2	1	3
def pytest_warning_captured() in pytest_azurepipelines.py	2	1	3