alibaba / LucaProt

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 60 files with 20,560 lines of code.

2 very long files (2,682 lines of code)
11 long files (7,643 lines of code)
26 medium size files (8,008 lines of codeclsfd_ftr_w_mp_ins)
9 small files (1,431 lines of code)
12 very small files (796 lines of code)

Legend:

1001+

501-1000

201-500

101-200

1-100

explore: grouped by folders | grouped by size | sunburst | 3D view

File Size per Extension

1001+

501-1000

201-500

101-200

1-100

File Size per Logical Decomposition

primary

1001+

501-1000

201-500

101-200

1-100

Longest Files (Top 50)

File	# lines	# units
data_loader.py in src	1344	30
modeling_bert.py in src/SSFN	1338	65
predict.py in src	889	9
dnn.py in src/baselines	805	16
run.py in src/deep_baselines	778	10
run.py in src	735	1
data_preprocess_for_rdrp_v1.py in src/data_preprocess	711	15
predict_many_samples.py in src	708	10
predict_one_sample.py in src	683	10
app.py in src/app	620	12
lgbm.py in src/baselines	602	16
xgb.py in src/baselines	566	16
predict_deep_baselines.py in src/deep_baselines	546	10
cheer.py in src/deep_baselines	497	9
data_preprocess_for_rdrp_v3_extend.py in src/data_preprocess	492	-
structure_from_esm_v1.py in src/protein_structure	447	7
multi_label_metrics.py in src/common	428	17
metrics.py in src/common	419	22
model.py in src/SSFN	394	4
utils.py in src	376	19
trainer.py in src	369	2
embedding_from_esmfold.py in src/protein_structure	337	3
plot_map_pie_fig_aff4_2.py in src/plot	319	1
ncbi_id_2_uniprot.py in src/data_preprocess	308	15
plot_map_pie_fig4_2.py in src/plot	304	1
standardization_lat_lon_info.py in src/geo_map	291	6
plot_map_pie_fig4_1.py in src/plot	285	1
pooling.py in src/SSFN	259	25
data_preprocess_for_rdrp_v2.py in src/data_preprocess	256	10
data_preprocess_into_tfrecords_for_rdrp.py in src/data_preprocess	252	9
predictor.py in src	251	1
parse_loc_lat_lon_from_attr.py in src/geo_map	232	2
contact_map_builder.py in src/biotoolbox	229	20
virtifier.py in src/deep_baselines	227	3
virhunter.py in src/deep_baselines	212	4
virseeker.py in src/deep_baselines	209	3
tf_records_generator.py in src/data_preprocess	207	8
predict.py in src/baselines	205	6
predict_structure.py in src/protein_structure	203	5
subword.py in src/data_preprocess	190	8
evaluater.py in src	184	1
merge_embedding_pdb_result.py in src/protein_structure	177	4
process_predict_result.py in src/result_process	162	3
get_biosample_from_entrez.py in src/geo_map	156	1
loss.py in src/common	150	8
index.html in src/app/templates	148	-
layers.py in src/SSFN	135	9
structure_file_reader.py in src/biotoolbox	129	10
contact_map_generator.py in src/biotoolbox	100	11
get_biosample_from_update.py in src/geo_map	87	-

Files With Most Units (Top 50)

File	# lines	# units
modeling_bert.py in src/SSFN	1338	65
data_loader.py in src	1344	30
pooling.py in src/SSFN	259	25
metrics.py in src/common	419	22
contact_map_builder.py in src/biotoolbox	229	20
utils.py in src	376	19
multi_label_metrics.py in src/common	428	17
lgbm.py in src/baselines	602	16
xgb.py in src/baselines	566	16
dnn.py in src/baselines	805	16
data_preprocess_for_rdrp_v1.py in src/data_preprocess	711	15
ncbi_id_2_uniprot.py in src/data_preprocess	308	15
app.py in src/app	620	12
contact_map_generator.py in src/biotoolbox	100	11
run.py in src/deep_baselines	778	10
predict_deep_baselines.py in src/deep_baselines	546	10
data_preprocess_for_rdrp_v2.py in src/data_preprocess	256	10
predict_one_sample.py in src	683	10
predict_many_samples.py in src	708	10
structure_file_reader.py in src/biotoolbox	129	10
predict.py in src	889	9
cheer.py in src/deep_baselines	497	9
data_preprocess_into_tfrecords_for_rdrp.py in src/data_preprocess	252	9
layers.py in src/SSFN	135	9
loss.py in src/common	150	8
tf_records_generator.py in src/data_preprocess	207	8
subword.py in src/data_preprocess	190	8
structure_from_esm_v1.py in src/protein_structure	447	7
standardization_lat_lon_info.py in src/geo_map	291	6
predict.py in src/baselines	205	6
predict_structure.py in src/protein_structure	203	5
virhunter.py in src/deep_baselines	212	4
merge_embedding_pdb_result.py in src/protein_structure	177	4
gcn.py in src/SSFN	66	4
model.py in src/SSFN	394	4
virtifier.py in src/deep_baselines	227	3
virseeker.py in src/deep_baselines	209	3
process_predict_result.py in src/result_process	162	3
download_biosample_page.py in src/geo_map	52	3
embedding_from_esmfold.py in src/protein_structure	337	3
trainer.py in src	369	2
extract_attr_from_biosample_page.py in src/geo_map	69	2
parse_loc_lat_lon_from_attr.py in src/geo_map	232	2
run.py in src	735	1
predictor.py in src	251	1
self_testing_nearest_station_antarctica.py in src/geo_map	71	1
get_biosample_from_entrez.py in src/geo_map	156	1
plot_map_pie_fig_aff4_2.py in src/plot	319	1
plot_map_pie_fig4_1.py in src/plot	285	1
plot_map_pie_fig4_2.py in src/plot	304	1

Files With Long Lines (Top 44)

There are 44 files with lines longer than 120 characters. In total, there are 460 long lines.

File	# lines	# units	# long lines
data_loader.py in src	1344	30	47
run.py in src/deep_baselines	778	10	38
dnn.py in src/baselines	805	16	38
cheer.py in src/deep_baselines	497	9	22
predict_one_sample.py in src	683	10	22
app.py in src/app	620	12	21
predict_many_samples.py in src	708	10	21
xgb.py in src/baselines	566	16	21
lgbm.py in src/baselines	602	16	20
predict.py in src	889	9	19
predict_deep_baselines.py in src/deep_baselines	546	10	15
data_preprocess_for_rdrp_v1.py in src/data_preprocess	711	15	14
model.py in src/SSFN	394	4	14
plot_map_pie_fig_aff4_2.py in src/plot	319	1	14
run.py in src	735	1	10
data_preprocess_for_rdrp_v3_extend.py in src/data_preprocess	492	-	9
embedding_from_esmfold.py in src/protein_structure	337	3	9
virtifier.py in src/deep_baselines	227	3	8
virseeker.py in src/deep_baselines	209	3	8
merge_embedding_pdb_result.py in src/protein_structure	177	4	8
metrics.py in src/common	419	22	7
virhunter.py in src/deep_baselines	212	4	7
plot_map_pie_fig4_2.py in src/plot	304	1	7
statistics.py in src/deep_baselines	79	-	6
contact_map_builder.py in src/biotoolbox	229	20	6
predict.py in src/baselines	205	6	6
trainer.py in src	369	2	5
data_preprocess_into_tfrecords_for_rdrp.py in src/data_preprocess	252	9	5
structure_from_esm_v1.py in src/protein_structure	447	7	5
subword.py in src/data_preprocess	190	8	4
parse_loc_lat_lon_from_attr.py in src/geo_map	232	2	3
predict_structure.py in src/protein_structure	203	5	3
plot_map_pie_fig4_1.py in src/plot	285	1	3
multi_label_metrics.py in src/common	428	17	2
standardization_lat_lon_info.py in src/geo_map	291	6	2
contact_map_generator.py in src/biotoolbox	100	11	2
gcn.py in src/SSFN	66	4	2
loss.py in src/common	150	8	1
process_predict_result.py in src/result_process	162	3	1
data_preprocess_for_rdrp_v2.py in src/data_preprocess	256	10	1
get_biosample_from_manual.py in src/geo_map	86	-	1
get_biosample_from_update.py in src/geo_map	87	-	1
plot_map_pie_fig_aff4_1.py in src/plot	77	-	1
utils.py in src	376	19	1