aws / aws-sdk-pandas - 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 1,140 units with 9,646 lines of code in units (20.7% of code).

1 very complex units (293 lines of code)
1 complex units (33 lines of code)
8 medium complex units (262 lines of code)
34 simple units (679 lines of code)
1,096 very simple units (8,379 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 _build_cluster_args() in awswrangler/emr.py	293	53	1
def athena2pandas() in awswrangler/_data_types.py	33	34	2
def athena2pyarrow() in awswrangler/_data_types.py	49	25	2
def _get_endpoint_url() in awswrangler/_utils.py	25	23	1
def _fetch() in awswrangler/s3/_fs.py	58	21	3
def pyarrow2timestream() in awswrangler/_data_types.py	26	17	1
def _parse_dict() in awswrangler/neptune/_gremlin_parser.py	37	15	1
def _apply_timezone() in awswrangler/_arrow.py	19	15	3
def athena2quicksight() in awswrangler/_data_types.py	29	14	1
def _df_doc_generator() in awswrangler/opensearch/_write.py	19	13	1
def _cast_pandas_column() in awswrangler/_data_types.py	29	9	4
def apply_configs() in awswrangler/_config.py	23	9	1
def _cast_value() in awswrangler/timestream/_read.py	18	9	2
def flush() in awswrangler/s3/_fs.py	45	9	2
def get_read_tasks() in awswrangler/distributed/ray/datasources/arrow_parquet_datasource.py	66	8	2
def _build_gremlin_properties() in awswrangler/neptune/_utils.py	9	8	2
def _apply_type() in awswrangler/_config.py	13	8	4
def _extract_partitions_from_path() in awswrangler/_arrow.py	12	8	2
def readline() in awswrangler/s3/_fs.py	16	8	2
def _check_version_id() in awswrangler/s3/_read.py	10	8	3
def _get_value_hash() in awswrangler/s3/_write_dataset.py	23	8	1
def _update_table_input() in awswrangler/catalog/_create.py	17	8	5
def sanitize_dataframe_columns_names() in awswrangler/catalog/_utils.py	16	8	2
def register_ray() in awswrangler/distributed/ray/_register.py	54	7	0
def modin_repartition() in awswrangler/distributed/ray/modin/_core.py	23	7	1
def write_gremlin_df() in awswrangler/neptune/_utils.py	18	7	4
def _cast2date() in awswrangler/_data_types.py	8	7	1
def identifier() in awswrangler/_sql_utils.py	16	7	2
def _validate_auth_method() in awswrangler/data_api/redshift.py	7	7	1
def _get_statement_result() in awswrangler/data_api/rds.py	18	7	2
def decorator() in awswrangler/_utils.py	21	7	1
def list_sampling() in awswrangler/_utils.py	17	7	2
def check_schema_changes() in awswrangler/_utils.py	15	7	5
def _validate_schemas() in awswrangler/s3/_read.py	12	7	2
def detect_oracle_decimal_datatype() in awswrangler/oracle.py	10	6	1
def _split_fields() in awswrangler/_data_types.py	12	6	1
def _assign_args_value() in awswrangler/_config.py	14	6	4
def _read_query_chunked() in awswrangler/dynamodb/_read.py	13	6	3
def _get_statement_result() in awswrangler/data_api/redshift.py	20	6	2
def _get_documents_w_json_path() in awswrangler/opensearch/_write.py	19	6	3
def ensure_cpu_count() in awswrangler/_utils.py	11	6	1
def seek() in awswrangler/s3/_fs.py	15	6	3
def close() in awswrangler/s3/_fs.py	49	6	1
def rename_duplicated_columns() in awswrangler/catalog/_utils.py	10	6	1
def format_dict() in awswrangler/_sql_formatter.py	14	5	3
def _check_parameters() in awswrangler/distributed/ray/modin/_utils.py	11	5	4
def _estimate_avail_cpus() in awswrangler/distributed/ray/_utils.py	12	5	1
def _sample_fragments() in awswrangler/distributed/ray/datasources/arrow_parquet_datasource.py	24	5	1
def _read_stream() in awswrangler/distributed/ray/datasources/arrow_csv_datasource.py	23	5	3
def _parse_rules() in awswrangler/data_quality/_utils.py	14	5	1