tensorflow / ecosystem
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 104 units with 1,293 lines of code in units (57.5% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 4 medium complex units (101 lines of code)
    • 12 simple units (306 lines of code)
    • 88 very simple units (886 lines of code)
0% | 0% | 7% | 23% | 68%
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
scala0% | 0% | 10% | 25% | 63%
py0% | 0% | 6% | 27% | 66%
java0% | 0% | 0% | 0% | 100%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
spark/spark-tensorflow-connector0% | 0% | 10% | 25% | 63%
distribution_strategy0% | 0% | 23% | 0% | 76%
spark/spark-tensorflow-distributor0% | 0% | 0% | 31% | 68%
docker0% | 0% | 0% | 64% | 35%
hadoop/src0% | 0% | 0% | 0% | 100%
data_service0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 20 most complex units
Unit# linesMcCabe index# params
private def encodeFeature()
in spark/spark-tensorflow-connector/src/main/scala/org/tensorflow/spark/datasources/tfrecords/serde/DefaultTfRecordRowEncoder.scala
40 22 3
private def decodeFeature()
in spark/spark-tensorflow-connector/src/main/scala/org/tensorflow/spark/datasources/tfrecords/serde/DefaultTfRecordRowDecoder.scala
21 17 3
private def getNumericPrecedence()
in spark/spark-tensorflow-connector/src/main/scala/org/tensorflow/spark/datasources/tfrecords/TensorFlowInferSchema.scala
14 11 1
def resolve_cluster()
in distribution_strategy/keras_model_to_estimator_client.py
26 11 2
def encodeFeatureList()
in spark/spark-tensorflow-connector/src/main/scala/org/tensorflow/spark/datasources/tfrecords/serde/DefaultTfRecordRowEncoder.scala
41 9 3
private def decodeFeatureList()
in spark/spark-tensorflow-connector/src/main/scala/org/tensorflow/spark/datasources/tfrecords/serde/DefaultTfRecordRowDecoder.scala
13 9 3
def device_and_target()
in docker/mnist.py
26 9 0
def apply[T : TypeTag]()
in spark/spark-tensorflow-connector/src/main/scala/org/tensorflow/spark/datasources/tfrecords/TensorFlowInferSchema.scala
22 8 1
private def findTightestCommonType()
in spark/spark-tensorflow-connector/src/main/scala/org/tensorflow/spark/datasources/tfrecords/TensorFlowInferSchema.scala
14 8 2
def run()
in spark/spark-tensorflow-distributor/spark_tensorflow_distributor/mirrored_strategy_runner.py
45 7 3
override def shortName()
in spark/spark-tensorflow-connector/src/main/scala/org/tensorflow/spark/datasources/tfrecords/DefaultSource.scala
32 7 0
private def saveDistributed()
in spark/spark-tensorflow-connector/src/main/scala/org/tensorflow/spark/datasources/tfrecords/DefaultSource.scala
27 7 2
def encodeSequenceExample()
in spark/spark-tensorflow-connector/src/main/scala/org/tensorflow/spark/datasources/tfrecords/serde/DefaultTfRecordRowEncoder.scala
23 7 1
def decodeSequenceExample()
in spark/spark-tensorflow-connector/src/main/scala/org/tensorflow/spark/datasources/tfrecords/serde/DefaultTfRecordRowDecoder.scala
19 7 2
def _get_gpus_owned()
in spark/spark-tensorflow-distributor/spark_tensorflow_distributor/mirrored_strategy_runner.py
27 6 2
def main()
in docker/mnist.py
17 6 1
def _get_spark_task_program()
in spark/spark-tensorflow-distributor/spark_tensorflow_distributor/mirrored_strategy_runner.py
57 5 3
private def writePartitionLocal()
in spark/spark-tensorflow-connector/src/main/scala/org/tensorflow/spark/datasources/tfrecords/DefaultSource.scala
30 5 3
def decodeExample()
in spark/spark-tensorflow-connector/src/main/scala/org/tensorflow/spark/datasources/tfrecords/serde/DefaultTfRecordRowDecoder.scala
13 5 2
def inferFeatureListTypes()
in spark/spark-tensorflow-connector/src/main/scala/org/tensorflow/spark/datasources/tfrecords/TensorFlowInferSchema.scala
21 5 4