facebookresearch / xcit
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 58 files with 4,377 lines of code.
    • 0 very long files (0 lines of code)
    • 0 long files (0 lines of code)
    • 4 medium size files (1,327 lines of codeclsfd_ftr_w_mp_ins)
    • 8 small files (1,123 lines of code)
    • 46 very small files (1,927 lines of code)
0% | 0% | 30% | 25% | 44%
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
py0% | 0% | 30% | 25% | 44%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
ROOT0% | 0% | 58% | 23% | 18%
detection/backbone0% | 0% | 100% | 0% | 0%
semantic_segmentation/backbone0% | 0% | 100% | 0% | 0%
detection/tools0% | 0% | 0% | 100% | 0%
semantic_segmentation/tools0% | 0% | 0% | 100% | 0%
detection/configs/_base_/models0% | 0% | 0% | 100% | 0%
detection/configs/xcit0% | 0% | 0% | 0% | 100%
semantic_segmentation/configs/xcit/upernet0% | 0% | 0% | 0% | 100%
semantic_segmentation/configs/xcit/sem_fpn0% | 0% | 0% | 0% | 100%
detection/configs/_base_/datasets0% | 0% | 0% | 0% | 100%
semantic_segmentation/configs/_base_/models0% | 0% | 0% | 0% | 100%
semantic_segmentation/configs/_base_/datasets0% | 0% | 0% | 0% | 100%
detection/configs/_base_/schedules0% | 0% | 0% | 0% | 100%
semantic_segmentation/configs/_base_/schedules0% | 0% | 0% | 0% | 100%
detection/configs/_base_0% | 0% | 0% | 0% | 100%
semantic_segmentation/configs/_base_0% | 0% | 0% | 0% | 100%
Longest Files (Top 50)
File# lines# units
xcit.py
in root
371 35
main.py
in root
358 2
xcit.py
in detection/backbone
299 21
xcit.py
in semantic_segmentation/backbone
299 21
test.py
in detection/tools
192 2
utils.py
in root
186 25
train.py
in detection/tools
152 2
train.py
in semantic_segmentation/tools
129 2
test.py
in semantic_segmentation/tools
125 2
mask_rcnn_xcit_p8.py
in detection/configs/_base_/models
118 -
mask_rcnn_xcit_p16.py
in detection/configs/_base_/models
118 -
datasets.py
in root
103 3
run_with_submitit.py
in root
90 8
mask_rcnn_xcit_tiny_12_p8_3x_coco.py
in detection/configs/xcit
89 -
mask_rcnn_xcit_small_12_p8_3x_coco.py
in detection/configs/xcit
89 -
mask_rcnn_xcit_small_24_p16_3x_coco.py
in detection/configs/xcit
89 -
mask_rcnn_xcit_medium_24_p8_3x_coco.py
in detection/configs/xcit
89 -
mask_rcnn_xcit_small_24_p8_3x_coco.py
in detection/configs/xcit
89 -
mask_rcnn_xcit_small_12_p16_3x_coco.py
in detection/configs/xcit
89 -
mask_rcnn_xcit_tiny_12_p16_3x_coco.py
in detection/configs/xcit
89 -
mask_rcnn_xcit_medium_24_p16_3x_coco.py
in detection/configs/xcit
89 -
engine.py
in root
67 2
coco_instance_semantic.py
in detection/configs/_base_/datasets
53 -
ade20k.py
in semantic_segmentation/configs/_base_/datasets
52 -
coco_detection.py
in detection/configs/_base_/datasets
48 -
coco_instance.py
in detection/configs/_base_/datasets
48 -
losses.py
in root
41 2
upernet_xcit_p16.py
in semantic_segmentation/configs/_base_/models
40 -
upernet_xcit_p8.py
in semantic_segmentation/configs/_base_/models
40 -
samplers.py
in root
38 4
sem_fpn_xcit_tiny_12_p8_80k_ade20k.py
in semantic_segmentation/configs/xcit/sem_fpn
37 -
sem_fpn_xcit_medium_24_p16_80k_ade20k.py
in semantic_segmentation/configs/xcit/sem_fpn
37 -
sem_fpn_xcit_medium_24_p8_80k_ade20k.py
in semantic_segmentation/configs/xcit/sem_fpn
37 -
sem_fpn_xcit_tiny_12_p16_80k_ade20k.py
in semantic_segmentation/configs/xcit/sem_fpn
37 -
upernet_xcit_medium_24_p16_160k_ade20k.py
in semantic_segmentation/configs/xcit/upernet
36 -
upernet_xcit_medium_24_p8_160k_ade20k.py
in semantic_segmentation/configs/xcit/upernet
36 -
upernet_xcit_small_24_p16_160k_ade20k.py
in semantic_segmentation/configs/xcit/upernet
35 -
upernet_xcit_small_12_p16_160k_ade20k.py
in semantic_segmentation/configs/xcit/upernet
35 -
upernet_xcit_small_24_p8_160k_ade20k.py
in semantic_segmentation/configs/xcit/upernet
35 -
upernet_xcit_tiny_12_p16_160k_ade20k.py
in semantic_segmentation/configs/xcit/upernet
35 -
upernet_xcit_small_12_p8_160k_ade20k.py
in semantic_segmentation/configs/xcit/upernet
35 -
upernet_xcit_tiny_12_p8_160k_ade20k.py
in semantic_segmentation/configs/xcit/upernet
35 -
sem_fpn_xcit_p8.py
in semantic_segmentation/configs/_base_/models
32 -
sem_fpn_xcit_p16.py
in semantic_segmentation/configs/_base_/models
32 -
sem_fpn_xcit_small_24_p8_80k_ade20k.py
in semantic_segmentation/configs/xcit/sem_fpn
32 -
sem_fpn_xcit_small_24_p16_80k_ade20k.py
in semantic_segmentation/configs/xcit/sem_fpn
32 -
sem_fpn_xcit_small_12_p16_80k_ade20k.py
in semantic_segmentation/configs/xcit/sem_fpn
32 -
sem_fpn_xcit_small_12_p8_80k_ade20k.py
in semantic_segmentation/configs/xcit/sem_fpn
32 -
default_runtime.py
in detection/configs/_base_
12 -
default_runtime.py
in semantic_segmentation/configs/_base_
11 -
Files With Most Units (Top 14)
File# lines# units
xcit.py
in root
371 35
utils.py
in root
186 25
xcit.py
in detection/backbone
299 21
xcit.py
in semantic_segmentation/backbone
299 21
run_with_submitit.py
in root
90 8
samplers.py
in root
38 4
datasets.py
in root
103 3
engine.py
in root
67 2
losses.py
in root
41 2
main.py
in root
358 2
test.py
in detection/tools
192 2
train.py
in detection/tools
152 2
test.py
in semantic_segmentation/tools
125 2
train.py
in semantic_segmentation/tools
129 2
Files With Long Lines (Top 0)

There are 0 files with lines longer than 120 characters. In total, there are 0 long lines.

File# lines# units# long lines