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 73 files with 6,166 lines of code.
- 0 very long files (0 lines of code)
- 1 long files (525 lines of code)
- 6 medium size files (2,002 lines of codeclsfd_ftr_w_mp_ins)
- 18 small files (2,452 lines of code)
- 48 very small files (1,187 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 |
|---|---|---|
 question_to_db.py in dataset-construction/src/ndb_data/generation |
525 | 14 |
run.py in modelling/src/neuraldb |
421 | 6 |
make_questions.py in dataset-construction/src/ndb_data/construction |
420 | 10 |
convert_spj_to_predictions.py in modelling/src/neuraldb |
366 | 12 |
neuraldb_trainer.py in modelling/src/neuraldb/modelling |
295 | 4 |
map_kelm.py in dataset-construction/src/ndb_data/generation |
278 | 11 |
final_scoring_with_dbsize_sweep.py in modelling/src/neuraldb |
222 | 1 |
instance_generator.py in modelling/src/neuraldb/dataset/instance_generator |
194 | 12 |
template_first_db.py in dataset-construction/src/ndb_data/generation |
187 | 2 |
final_scoring_with_dbsize.py in modelling/src/neuraldb |
170 | 1 |
make_database_finalize.py in dataset-construction/src/ndb_data/construction |
165 | 2 |
evaluate_set_ssg.py in ssg |
138 | 3 |
spj_generator.py in modelling/src/neuraldb/dataset/instance_generator |
134 | 3 |
sample_questions_100.py in dataset-construction/src/ndb_data |
129 | 1 |
sample_questions_250.py in dataset-construction/src/ndb_data |
129 | 1 |
sample_questions_500.py in dataset-construction/src/ndb_data |
129 | 1 |
sample_questions_1000.py in dataset-construction/src/ndb_data |
129 | 1 |
make_database_initial.py in dataset-construction/src/ndb_data/construction |
128 | 1 |
sample_questions_50.py in dataset-construction/src/ndb_data |
125 | 1 |
postprocess_baselines.py in modelling/src/neuraldb/evaluation |
122 | 1 |
sample_questions.py in dataset-construction/src/ndb_data |
122 | 1 |
data_collator_seq2seq.py in modelling/src/neuraldb/dataset |
120 | 1 |
finalize_hypothesis.py in dataset-construction/src/ndb_data/generation |
120 | 2 |
ssg_prediction.py in ssg |
110 | 1 |
postprocess_spj.py in modelling/src/neuraldb/evaluation |
101 | 1 |
make_database_initial_cache.py in dataset-construction/src/ndb_data/construction |
96 | 2 |
final_scoring.py in modelling/src/neuraldb |
74 | 1 |
train_ssg.py in ssg |
73 | 1 |
wikidata_index.py in dataset-construction/src/ndb_data/data_import |
70 | 3 |
build_json.py in dataset-construction/src/ndb_data/util |
65 | 3 |
ssg_utils.py in ssg |
62 | 3 |
dpr.py in modelling/src/neuraldb/retriever |
60 | 2 |
scoring_functions.py in modelling/src/neuraldb/evaluation |
52 | 9 |
dataset_statistics.py in modelling/src/neuraldb |
41 | 3 |
tfidf.py in modelling/src/neuraldb/retriever |
39 | 3 |
kelm_data.py in dataset-construction/src/ndb_data/data_import |
35 | - |
convert_ssg_predictions.py in modelling/src/neuraldb |
34 | - |
dataset_statistics.py in dataset-construction/src/ndb_data |
33 | 2 |
describe_dbs.py in dataset-construction/src/ndb_data/generation |
32 | 1 |
plot_db_sizes.py in dataset-construction/src/ndb_data/generation |
32 | - |
neuraldb_parser.py in modelling/src/neuraldb/dataset |
31 | 7 |
convert_legacy_predictions.py in modelling/src/neuraldb |
30 | - |
fix_sitelinks.py in dataset-construction/src/ndb_data/data_import |
30 | 1 |
setup.py in modelling |
28 | - |
seq2seq_dataset.py in modelling/src/neuraldb/dataset |
26 | 4 |
neuraldb_file_reader.py in modelling/src/neuraldb/dataset |
24 | 2 |
externalir_generator_maxtok.py in modelling/src/neuraldb/dataset/instance_generator |
24 | 1 |
filter_db_facts.py in dataset-construction/src/ndb_data/generation |
23 | - |
externalir_generator.py in modelling/src/neuraldb/dataset/instance_generator |
20 | 1 |
perfectir_generator.py in modelling/src/neuraldb/dataset/instance_generator |
20 | 1 |
Files With Most Units (Top 20)
| File | # lines | # units |
|---|---|---|
question_to_db.py in dataset-construction/src/ndb_data/generation |
525 | 14 |
instance_generator.py in modelling/src/neuraldb/dataset/instance_generator |
194 | 12 |
convert_spj_to_predictions.py in modelling/src/neuraldb |
366 | 12 |
map_kelm.py in dataset-construction/src/ndb_data/generation |
278 | 11 |
make_questions.py in dataset-construction/src/ndb_data/construction |
420 | 10 |
scoring_functions.py in modelling/src/neuraldb/evaluation |
52 | 9 |
neuraldb_parser.py in modelling/src/neuraldb/dataset |
31 | 7 |
run.py in modelling/src/neuraldb |
421 | 6 |
neuraldb_trainer.py in modelling/src/neuraldb/modelling |
295 | 4 |
seq2seq_dataset.py in modelling/src/neuraldb/dataset |
26 | 4 |
wikidata.py in dataset-construction/src/ndb_data/wikidata_common |
13 | 4 |
spj_generator.py in modelling/src/neuraldb/dataset/instance_generator |
134 | 3 |
tfidf.py in modelling/src/neuraldb/retriever |
39 | 3 |
dataset_statistics.py in modelling/src/neuraldb |
41 | 3 |
build_json.py in dataset-construction/src/ndb_data/util |
65 | 3 |
wikidata_index.py in dataset-construction/src/ndb_data/data_import |
70 | 3 |
kelm.py in dataset-construction/src/ndb_data/wikidata_common |
13 | 3 |
ssg_utils.py in ssg |
62 | 3 |
evaluate_set_ssg.py in ssg |
138 | 3 |
neuraldb_file_reader.py in modelling/src/neuraldb/dataset |
24 | 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 |
|---|---|---|---|