apple / ml-cvnets
File Size

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

Intro
  • File size measurements show the distribution of size of files.
  • Files are classified in four categories based on their size (lines of code): 1-100 (very small files), 101-200 (small files), 201-500 (medium size files), 501-1000 (long files), 1001+(very long files).
  • It is a good practice to keep files small. Long files may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.
Learn more...
File Size Overall
  • There are 160 files with 10,904 lines of code.
    • 1 very long files (1,005 lines of code)
    • 0 long files (0 lines of code)
    • 7 medium size files (1,847 lines of codeclsfd_ftr_w_mp_ins)
    • 23 small files (3,016 lines of code)
    • 129 very small files (5,036 lines of code)
9% | 0% | 16% | 27% | 46%
Legend:
1001+
501-1000
201-500
101-200
1-100


explore: zoomable circles | sunburst | 3D view
File Size per Extension
1001+
501-1000
201-500
101-200
1-100
py10% | 0% | 18% | 27% | 43%
yaml0% | 0% | 0% | 31% | 68%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
data46% | 0% | 20% | 11% | 21%
engine0% | 0% | 82% | 0% | 17%
cvnets0% | 0% | 11% | 38% | 49%
config0% | 0% | 0% | 31% | 68%
utils0% | 0% | 0% | 35% | 64%
ROOT0% | 0% | 0% | 45% | 54%
loss_fn0% | 0% | 0% | 19% | 80%
optim0% | 0% | 0% | 24% | 75%
options0% | 0% | 0% | 69% | 30%
metrics0% | 0% | 0% | 50% | 49%
common0% | 0% | 0% | 0% | 100%
Longest Files (Top 50)
File# lines# units
image.py
in data/transforms
 1005 100
eval_segmentation.py
in engine
 326 11
training_engine.py
in engine
 309 5
ssd.py
in cvnets/models/detection
 282 9
eval_detection.py
in engine
 259 5
variable_batch_sampler.py
in data/sampler
 231 9
coco.py
in data/datasets/detection
 222 16
conv_layer.py
in cvnets/layers
 218 14
mobilevit.py
in cvnets/models/classification/config
 198 1
mobilevit.py
in cvnets/models/classification
 177 5
checkpoint_utils.py
in utils
 174 8
main_train.py
in root
 173 3
mobilevit_block.py
in cvnets/modules
 165 6
base_cls.py
in cvnets/models/classification
 153 12
linear_layer.py
in cvnets/layers
 137 14
vanilla.py
in loss_fn/distillation_loss_fns
 134 9
mobilenetv2.py
in cvnets/models/classification
 128 3
aspp_block.py
in cvnets/modules
 123 12
pascal_voc.py
in data/datasets/segmentation
 123 8
cyclic.py
in optim/scheduler
 121 5
__init__.py
in data/datasets
 116 7
mobilenetv2.py
in cvnets/modules
 114 8
resnet.py
in cvnets/modules
 113 8
resnet.py
in cvnets/models/classification/config
 111 1
__init__.py
in cvnets/models/segmentation
 111 4
opts.py
in options
 110 7
deeplabv3_mobilevit_small.yaml
in config/segmentation
 109 -
deeplabv3_mobilevit_x_small.yaml
in config/segmentation
 109 -
deeplabv3_mobilevit_xx_small.yaml
in config/segmentation
 109 -
stats.py
in metrics
 107 6
resnet.py
in cvnets/models/classification
 101 3
main_eval.py
in root
 100 5
ssd_mobilevit_small_320.yaml
in config/detection
 93 -
ssd_mobilevit_x_small_320.yaml
in config/detection
 93 -
ssd_mobilevit_xx_small_320.yaml
in config/detection
 93 -
__init__.py
in cvnets/models/classification
 91 4
mobilevit_small.yaml
in config/classification
 90 -
mobilevit_x_small.yaml
in config/classification
 90 -
mobilevit_xx_small.yaml
in config/classification
 90 -
deeplabv3.py
in cvnets/models/segmentation/heads
 90 4
normalization_layers.py
in cvnets/layers
 87 6
mobilenetv2.yaml
in config/classification
 85 -
base_detection.py
in cvnets/models/detection
 83 7
resnet.yaml
in config/classification
 82 -
multi_head_attention.py
in cvnets/layers
 82 5
__init__.py
in cvnets/models/detection
 81 4
ssd_multibox_loss.py
in loss_fn/detection_loss_fns
 80 5
init_utils.py
in cvnets/misc
 75 5
batch_sampler.py
in data/sampler
 75 7
ssd.py
in cvnets/modules
 74 5
Files With Most Units (Top 20)
File# lines# units
image.py
in data/transforms
 1005 100
coco.py
in data/datasets/detection
 222 16
conv_layer.py
in cvnets/layers
 218 14
linear_layer.py
in cvnets/layers
 137 14
base_sampler.py
in data/sampler
 68 14
base_cls.py
in cvnets/models/classification
 153 12
aspp_block.py
in cvnets/modules
 123 12
eval_segmentation.py
in engine
 326 11
logger.py
in utils
 45 10
ssd.py
in cvnets/models/detection
 282 9
dataset_base.py
in data/datasets
 68 9
variable_batch_sampler.py
in data/sampler
 231 9
vanilla.py
in loss_fn/distillation_loss_fns
 134 9
mobilenetv2.py
in cvnets/modules
 114 8
resnet.py
in cvnets/modules
 113 8
pascal_voc.py
in data/datasets/segmentation
 123 8
checkpoint_utils.py
in utils
 174 8
base_detection.py
in cvnets/models/detection
 83 7
base_seg_head.py
in cvnets/models/segmentation/heads
 71 7
__init__.py
in data/datasets
 116 7
Files With Long Lines (Top 20)

There are 25 files with lines longer than 120 characters. In total, there are 36 long lines.

File# lines# units# long lines
vanilla.py
in loss_fn/distillation_loss_fns
 134 9 5
opts.py
in options
 110 7 3
base_cls.py
in cvnets/models/classification
 153 12 2
mobilevit_block.py
in cvnets/modules
 165 6 2
cross_entropy.py
in loss_fn/segmentation_loss_fns
 63 5 2
cosine.py
in optim/scheduler
 47 4 2
polynomial.py
in optim/scheduler
 46 4 2
pooling.py
in cvnets/layers
 30 6 1
anchor_generator.py
in cvnets/misc
 71 6 1
init_utils.py
in cvnets/misc
 75 5 1
__init__.py
in cvnets/models/classification
 91 4 1
mobilevit.py
in cvnets/models/classification
 177 5 1
ssd.py
in cvnets/models/detection
 282 9 1
__init__.py
in cvnets/models/segmentation
 111 4 1
enc_dec.py
in cvnets/models/segmentation
 62 4 1
aspp_block.py
in cvnets/modules
 123 12 1
transformer.py
in cvnets/modules
 47 4 1
image.py
in data/transforms
 1005 100 1
eval_detection.py
in engine
 259 5 1
eval_segmentation.py
in engine
 326 11 1