facebookresearch / calibration_membership
Unit Size

The distribution of size of units (measured in lines of code).

Intro
  • Unit size measurements show the distribution of size of units of code (methods, functions...).
  • Units are classified in four categories based on their size (lines of code): 1-20 (small units), 20-50 (medium size units), 51-100 (long units), 101+ (very long units).
  • You should aim at keeping units small (< 20 lines). Long units may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.
Learn more...
Unit Size Overall
  • There are 88 units with 1,840 lines of code in units (89.3% of code).
    • 2 very long units (286 lines of code)
    • 5 long units (374 lines of code)
    • 22 medium size units (758 lines of code)
    • 13 small units (190 lines of code)
    • 46 very small units (232 lines of code)
15% | 20% | 41% | 10% | 12%
Legend:
101+
51-100
21-50
11-20
1-10
Unit Size per Extension
101+
51-100
21-50
11-20
1-10
py15% | 20% | 41% | 10% | 12%
Unit Size per Logical Component
primary logical decomposition
101+
51-100
21-50
11-20
1-10
datasets65% | 0% | 11% | 5% | 18%
attacks13% | 31% | 52% | 1% | <1%
training0% | 31% | 58% | 0% | 10%
utils0% | 13% | 28% | 38% | 20%
models0% | 0% | 50% | 0% | 50%
ROOT0% | 0% | 0% | 0% | 100%
Alternative Visuals
Longest Units
Top 20 longest units
Unit# linesMcCabe index# params
def get_dataset()
in datasets/__init__.py
 173 35 4
def auxiliary_attack()
in attacks/privacy_attacks.py
 113 28 8
def get_dataset()
in attacks/privacy_attacks.py
 90 18 1
def get_calibrated_gradnorm()
in attacks/privacy_attacks.py
 87 29 9
def get_confidences()
in attacks/privacy_attacks.py
 79 21 1
def init_distributed_mode()
in training/image_classification.py
 61 15 1
def get_optimizer()
in utils/optimizer.py
 57 3 3
def calibrated_gradient_attack()
in attacks/privacy_attacks.py
 50 5 1
def get_uncalibrated_gradnorm()
in attacks/privacy_attacks.py
 48 13 2
def get_losses()
in attacks/privacy_attacks.py
 45 8 1
def build_model()
in models/__init__.py
 43 10 1
def get_calibrated_losses()
in attacks/privacy_attacks.py
 43 15 6
def get_parser()
in attacks/privacy_attacks.py
 42 15 0
def get_calibrated_confidences()
in attacks/privacy_attacks.py
 41 12 6
def calibrated_distance_attack()
in attacks/privacy_attacks.py
 37 3 2
def calibrated_loss_attack()
in attacks/privacy_attacks.py
 35 3 1
def calibrated_confidence_attack()
in attacks/privacy_attacks.py
 35 3 1
def get_parser()
in training/image_classification.py
 34 1 0
def generate_masks()
in utils/masks.py
 34 6 2
def train()
in training/image_classification.py
 33 11 2