apache / datafusion-python - 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).

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Conditional Complexity Overall

There are 1,320 units with 5,742 lines of code in units (37.7% of code).

0 very complex units (0 lines of code)
0 complex units (0 lines of code)
1 medium complex units (42 lines of code)
8 simple units (299 lines of code)
1,311 very simple units (5,401 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 generate_changelog() in dev/release/generate-changelog.py	42	23	5
def _build_table_body() in python/datafusion/html_formatter.py	30	10	3
def bench() in benchmarks/tpch/tpch.py	43	9	2
fn find_window_fn() in src/functions.rs	47	9	2
def _build_html_footer() in python/datafusion/html_formatter.py	7	9	2
fn new() in src/store.rs	50	7	10
def udaf() in python/datafusion/udf.py	46	7	2
fn new() in src/store.rs	35	6	7
def udf() in python/datafusion/udf.py	41	6	2
fn add_builder_fns_to_aggregate() in src/functions.rs	21	4	5
fn __getitem__() in src/dataframe.rs	16	4	2
def named_struct() in python/datafusion/functions.py	7	4	2
def _build_html_header() in python/datafusion/html_formatter.py	9	4	1
def _format_cell_value() in python/datafusion/html_formatter.py	5	4	2
def configure_formatter() in python/datafusion/html_formatter.py	22	4	1
def get_default_level() in python/datafusion/dataframe.py	8	4	1
def ans_shape() in benchmarks/db-benchmark/groupby-datafusion.py	9	3	1
def ans_shape() in benchmarks/db-benchmark/join-datafusion.py	9	3	1
fn new() in src/context.rs	9	3	1
fn supports_filters_pushdown() in src/common/schema.rs	18	3	2
fn case() in src/functions.rs	5	3	1
fn write_parquet() in src/dataframe.rs	50	3	5
def literal() in python/datafusion/expr.py	6	3	1
def cast() in python/datafusion/expr.py	8	3	2
def between() in python/datafusion/expr.py	6	3	4
def over() in python/datafusion/expr.py	19	3	2
def udwf() in python/datafusion/udf.py	4	3	2
def to_timestamp() in python/datafusion/functions.py	5	3	2
def array_sort() in python/datafusion/functions.py	10	3	3
def _validate_positive_int() in python/datafusion/html_formatter.py	4	3	2
def _build_table_header() in python/datafusion/html_formatter.py	15	3	2
def _get_cell_value() in python/datafusion/html_formatter.py	9	3	3
def from_str() in python/datafusion/dataframe.py	7	3	2
def select() in python/datafusion/dataframe.py	5	3	2
def with_column_renamed() in python/datafusion/dataframe.py	3	3	3
def print_pulls() in dev/release/generate-changelog.py	8	3	3
fn inputs() in src/sql/logical.rs	7	2	1
fn new() in src/store.rs	14	2	1
fn new() in src/store.rs	14	2	2
fn extract_scalar_list() in src/pyarrow_filter_expression.rs	33	2	2
fn table() in src/catalog.rs	9	2	3
fn explain_string() in src/expr/explain.rs	7	2	1
fn from() in src/expr/case.rs	3	2	1
fn from() in src/expr/case.rs	3	2	1
fn when_then_expr() in src/expr/case.rs	7	2	1
fn get_attr, attr_name: &str, default_value: T) -> T() in src/dataframe.rs	9	2	1
fn __repr__() in src/dataframe.rs	20	2	2
fn _repr_html_() in src/dataframe.rs	25	2	2
fn with_columns() in src/dataframe.rs	9	2	2
fn union() in src/dataframe.rs	11	2	3