facebookresearch / KILT
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 38 files with 3,918 lines of code.
    • 0 very long files (0 lines of code)
    • 0 long files (0 lines of code)
    • 4 medium size files (1,101 lines of codeclsfd_ftr_w_mp_ins)
    • 14 small files (2,127 lines of code)
    • 20 very small files (690 lines of code)
0% | 0% | 28% | 54% | 17%
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% | 28% | 54% | 17%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
kilt0% | 0% | 61% | 18% | 19%
kilt/readers/t50% | 0% | 63% | 36% | <1%
kilt/datasets0% | 0% | 0% | 90% | 9%
scripts0% | 0% | 0% | 77% | 22%
kilt/retrievers0% | 0% | 0% | 57% | 42%
kilt/readers/fid0% | 0% | 0% | 0% | 100%
ROOT0% | 0% | 0% | 0% | 100%
kilt/configs0% | 0% | 0% | 0% | 100%
kilt/configs/retriever0% | 0% | 0% | 0% | 100%
Longest Files (Top 38)
File# lines# units
kilt_utils.py
in kilt
 307 9
eval_retrieval.py
in kilt
 293 15
base_transformer.py
in kilt/readers/t5
 285 17
finetune.py
in kilt/readers/t5
 216 16
create_kilt_data_paragraphs.py
in scripts
 200 8
fact_verification.py
in kilt/datasets
 193 5
natural_questions.py
in kilt/datasets
 184 4
eval_downstream.py
in kilt
 183 10
entity_linking.py
in kilt/datasets
 181 5
data.py
in kilt/readers/t5
 175 8
map_TAC-KBP2010_to_KILT.py
in scripts
 171 1
hotpotqa.py
in kilt/datasets
 163 4
BLINK_connector.py
in kilt/retrievers
 122 3
triviaqa.py
in kilt/datasets
 119 4
DPR_connector.py
in kilt/retrievers
 111 3
evaluate_kilt_task.py
in kilt/readers/t5
 109 4
execute_retrieval.py
in scripts
 109 2
zero_shot_re.py
in kilt/datasets
 107 6
knowledge_source.py
in kilt
 81 9
get_triviaqa_input.py
in scripts
 74 1
BM25_connector.py
in kilt/retrievers
 73 4
hotpotqa_ks.py
in kilt/datasets
 69 2
retrieval.py
in kilt
 69 2
DrQA_tfidf.py
in kilt/retrievers
 67 4
download_all_kilt_data.py
in scripts
 47 -
dataset_mapper.py
in kilt
 41 2
base_dataset.py
in kilt/datasets
 34 7
preprocess.py
in kilt/readers/fid
 32 1
postprocess.py
in kilt/readers/fid
 31 1
base_retriever.py
in kilt/retrievers
 30 6
map_datasets.py
in scripts
 19 -
setup.py
in root
 17 -
__init__.py
in kilt/retrievers
 1 -
__init__.py
in kilt/datasets
 1 -
__init__.py
in kilt
 1 -
__init__.py
in kilt/configs
 1 -
__init__.py
in kilt/configs/retriever
 1 -
__init__.py
in kilt/readers/t5
 1 -
Files With Most Units (Top 20)
File# lines# units
base_transformer.py
in kilt/readers/t5
 285 17
finetune.py
in kilt/readers/t5
 216 16
eval_retrieval.py
in kilt
 293 15
eval_downstream.py
in kilt
 183 10
kilt_utils.py
in kilt
 307 9
knowledge_source.py
in kilt
 81 9
data.py
in kilt/readers/t5
 175 8
create_kilt_data_paragraphs.py
in scripts
 200 8
base_dataset.py
in kilt/datasets
 34 7
base_retriever.py
in kilt/retrievers
 30 6
zero_shot_re.py
in kilt/datasets
 107 6
fact_verification.py
in kilt/datasets
 193 5
entity_linking.py
in kilt/datasets
 181 5
DrQA_tfidf.py
in kilt/retrievers
 67 4
BM25_connector.py
in kilt/retrievers
 73 4
natural_questions.py
in kilt/datasets
 184 4
hotpotqa.py
in kilt/datasets
 163 4
triviaqa.py
in kilt/datasets
 119 4
evaluate_kilt_task.py
in kilt/readers/t5
 109 4
DPR_connector.py
in kilt/retrievers
 111 3
Files With Long Lines (Top 1)

There is only one file with lines longer than 120 characters. In total, there is only one long line.

File# lines# units# long lines
eval_retrieval.py
in kilt
 293 15 1