amazon-research / video-contrastive-learning
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 23 files with 2,407 lines of code.
    • 0 very long files (0 lines of code)
    • 0 long files (0 lines of code)
    • 2 medium size files (595 lines of codeclsfd_ftr_w_mp_ins)
    • 7 small files (996 lines of code)
    • 14 very small files (816 lines of code)
0% | 0% | 24% | 41% | 33%
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% | 24% | 41% | 33%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
liblinear0% | 0% | 55% | 44% | 0%
models0% | 0% | 79% | 0% | 20%
dataset0% | 0% | 0% | 97% | 2%
ROOT0% | 0% | 0% | 41% | 58%
utils0% | 0% | 0% | 59% | 40%
tools/data/k4000% | 0% | 0% | 0% | 100%
tools/feature_visualization0% | 0% | 0% | 0% | 100%
tools/weights0% | 0% | 0% | 0% | 100%
Longest Files (Top 23)
File# lines# units
liblinear.py
in liblinear
 367 25
resnet_mlp.py
in models
 228 17
util.py
in utils
 182 18
dataset_kinetics.py
in dataset
 164 11
liblinearutil.py
in liblinear
 158 4
train_vclr.py
in root
 150 3
commonutil.py
in liblinear
 131 5
dataset_downstream.py
in dataset
 107 9
eval_retrieve_knn_pred.py
in root
 104 1
eval_svm_feature_extract.py
in root
 98 3
eval_retrieval_feature_extract.py
in root
 97 3
feat_visualization.py
in tools/feature_visualization
 92 3
eval_retrieve_store_imgs.py
in root
 88 5
eval_svm_feature_perf.py
in root
 73 1
extract_frames_parallel.py
in tools/data/k400
 65 2
logger.py
in utils
 64 4
extract_frames.py
in tools/data/k400
 60 1
Contrast.py
in models
 59 6
lr_scheduler.py
in utils
 58 4
vclr2torchvision.py
in tools/weights
 27 -
vclr2mm.py
in tools/weights
 27 -
__init__.py
in dataset
 4 -
dataset_builder.py
in dataset
 4 1
Files With Most Units (Top 20)
File# lines# units
liblinear.py
in liblinear
 367 25
util.py
in utils
 182 18
resnet_mlp.py
in models
 228 17
dataset_kinetics.py
in dataset
 164 11
dataset_downstream.py
in dataset
 107 9
Contrast.py
in models
 59 6
commonutil.py
in liblinear
 131 5
eval_retrieve_store_imgs.py
in root
 88 5
liblinearutil.py
in liblinear
 158 4
lr_scheduler.py
in utils
 58 4
logger.py
in utils
 64 4
train_vclr.py
in root
 150 3
feat_visualization.py
in tools/feature_visualization
 92 3
eval_retrieval_feature_extract.py
in root
 97 3
eval_svm_feature_extract.py
in root
 98 3
extract_frames_parallel.py
in tools/data/k400
 65 2
eval_svm_feature_perf.py
in root
 73 1
dataset_builder.py
in dataset
 4 1
extract_frames.py
in tools/data/k400
 60 1
eval_retrieve_knn_pred.py
in root
 104 1
Files With Long Lines (Top 8)

There are 8 files with lines longer than 120 characters. In total, there are 13 long lines.

File# lines# units# long lines
train_vclr.py
in root
 150 3 3
liblinear.py
in liblinear
 367 25 2
lr_scheduler.py
in utils
 58 4 2
eval_svm_feature_extract.py
in root
 98 3 2
eval_svm_feature_perf.py
in root
 73 1 1
commonutil.py
in liblinear
 131 5 1
dataset_downstream.py
in dataset
 107 9 1
util.py
in utils
 182 18 1