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.
File Size Overall
- There are 58 files with 8,027 lines of code.
- 0 very long files (0 lines of code)
- 2 long files (1,360 lines of code)
- 5 medium size files (1,706 lines of codeclsfd_ftr_w_mp_ins)
- 27 small files (3,220 lines of code)
- 24 very small files (1,741 lines of code)
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
File Size per Logical Decomposition
primary
Longest Files (Top 50)
| File | # lines | # units |
|---|---|---|
 sequence_generator.py in avhubert |
684 | 24 |
hubert.py in avhubert |
676 | 19 |
hubert_dataset.py in avhubert |
463 | 23 |
hubert_asr.py in avhubert |
429 | 22 |
hubert_pretraining.py in avhubert |
331 | 18 |
infer_s2s.py in avhubert |
259 | 5 |
lrs3_prepare.py in avhubert/preparation |
224 | 7 |
align_mouth.py in avhubert/preparation |
184 | 10 |
utils.py in avhubert |
181 | 17 |
decoder.py in avhubert |
155 | 7 |
dump_hubert_feature.py in avhubert/clustering |
145 | 6 |
resnet.py in avhubert |
130 | 11 |
hubert_criterion.py in avhubert |
129 | 5 |
musan_prepare.py in avhubert/preparation |
129 | 5 |
learn_kmeans.py in avhubert/clustering |
124 | 4 |
submit_cluster.py in avhubert/clustering |
113 | 6 |
 large_noise_pt_noise_ft_433h.yaml in avhubert/conf/av-finetune |
112 | - |
large_noise_pt_noise_ft_30h.yaml in avhubert/conf/av-finetune |
112 | - |
base_noise_pt_noise_ft_433h.yaml in avhubert/conf/av-finetune |
109 | - |
base_noise_pt_noise_ft_30h.yaml in avhubert/conf/av-finetune |
109 | - |
large_lrs3_433h.yaml in avhubert/conf/finetune |
109 | - |
large_vox_30h.yaml in avhubert/conf/finetune |
109 | - |
large_lrs3_30h.yaml in avhubert/conf/finetune |
109 | - |
self_large_vox_30h.yaml in avhubert/conf/finetune |
109 | - |
self_large_vox_433h.yaml in avhubert/conf/finetune |
109 | - |
large_vox_433h.yaml in avhubert/conf/finetune |
109 | - |
base_lrs3_30h.yaml in avhubert/conf/finetune |
106 | - |
base_vox_30h.yaml in avhubert/conf/finetune |
106 | - |
base_lrs3_433h.yaml in avhubert/conf/finetune |
106 | - |
base_vox_433h.yaml in avhubert/conf/finetune |
106 | - |
noise_large_vox_iter5.yaml in avhubert/conf/pretrain |
105 | - |
large_lrs3_iter5.yaml in avhubert/conf/pretrain |
102 | - |
large_vox_iter5.yaml in avhubert/conf/pretrain |
102 | - |
noise_base_vox_iter5.yaml in avhubert/conf/pretrain |
101 | - |
base_vox_iter5.yaml in avhubert/conf/pretrain |
98 | - |
base_vox_iter2.yaml in avhubert/conf/pretrain |
98 | - |
base_vox_iter3.yaml in avhubert/conf/pretrain |
98 | - |
base_vox_iter1.yaml in avhubert/conf/pretrain |
98 | - |
base_vox_iter4.yaml in avhubert/conf/pretrain |
97 | - |
base_lrs3_iter1.yaml in avhubert/conf/pretrain |
97 | - |
base_lrs3_iter3.yaml in avhubert/conf/pretrain |
97 | - |
base_lrs3_iter2.yaml in avhubert/conf/pretrain |
97 | - |
base_lrs3_iter5.yaml in avhubert/conf/pretrain |
97 | - |
base_lrs3_iter4.yaml in avhubert/conf/pretrain |
97 | - |
dump_mfcc_feature.py in avhubert/clustering |
90 | 5 |
noise_manifest.py in avhubert/preparation |
82 | 3 |
dump_km_label.py in avhubert/clustering |
74 | 4 |
lrs3_manifest.py in avhubert/preparation |
70 | 1 |
lrs3_noise.py in avhubert/preparation |
68 | 2 |
count_frames_slurm.py in avhubert/preparation |
66 | 2 |
Files With Most Units (Top 20)
| File | # lines | # units |
|---|---|---|
sequence_generator.py in avhubert |
684 | 24 |
hubert_dataset.py in avhubert |
463 | 23 |
hubert_asr.py in avhubert |
429 | 22 |
hubert.py in avhubert |
676 | 19 |
hubert_pretraining.py in avhubert |
331 | 18 |
utils.py in avhubert |
181 | 17 |
resnet.py in avhubert |
130 | 11 |
align_mouth.py in avhubert/preparation |
184 | 10 |
decoder.py in avhubert |
155 | 7 |
lrs3_prepare.py in avhubert/preparation |
224 | 7 |
dump_hubert_feature.py in avhubert/clustering |
145 | 6 |
submit_cluster.py in avhubert/clustering |
113 | 6 |
infer_s2s.py in avhubert |
259 | 5 |
dump_mfcc_feature.py in avhubert/clustering |
90 | 5 |
hubert_criterion.py in avhubert |
129 | 5 |
musan_prepare.py in avhubert/preparation |
129 | 5 |
dump_km_label.py in avhubert/clustering |
74 | 4 |
learn_kmeans.py in avhubert/clustering |
124 | 4 |
noise_manifest.py in avhubert/preparation |
82 | 3 |
lrs3_noise.py in avhubert/preparation |
68 | 2 |
Files With Long Lines (Top 20)
There are 20 files with lines longer than 120 characters. In total, there are 66 long lines.
| File | # lines | # units | # long lines |
|---|---|---|---|
hubert.py in avhubert |
676 | 19 | 8 |
hubert_dataset.py in avhubert |
463 | 23 | 7 |
lrs3_prepare.py in avhubert/preparation |
224 | 7 | 5 |
align_mouth.py in avhubert/preparation |
184 | 10 | 5 |
hubert_pretraining.py in avhubert |
331 | 18 | 4 |
submit_cluster.py in avhubert/clustering |
113 | 6 | 4 |
lrs3_manifest.py in avhubert/preparation |
70 | 1 | 4 |
detect_landmark.py in avhubert/preparation |
60 | 2 | 4 |
musan_prepare.py in avhubert/preparation |
129 | 5 | 4 |
fix_state.py in avhubert/misc |
28 | 1 | 3 |
dump_hubert_feature.py in avhubert/clustering |
145 | 6 | 3 |
lrs3_noise.py in avhubert/preparation |
68 | 2 | 3 |
noise_manifest.py in avhubert/preparation |
82 | 3 | 3 |
vox_manifest.py in avhubert/preparation |
44 | 1 | 3 |
sequence_generator.py in avhubert |
684 | 24 | 1 |
resnet.py in avhubert |
130 | 11 | 1 |
utils.py in avhubert |
181 | 17 | 1 |
vox_prepare.py in avhubert/preparation |
48 | 2 | 1 |
count_frames_slurm.py in avhubert/preparation |
66 | 2 | 1 |
count_frames.py in avhubert/preparation |
60 | 2 | 1 |