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 155 files with 17,229 lines of code.
- 0 very long files (0 lines of code)
- 4 long files (2,402 lines of code)
- 26 medium size files (7,717 lines of codeclsfd_ftr_w_mp_ins)
- 25 small files (3,632 lines of code)
- 100 very small files (3,478 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 |
|---|---|---|
 python_evaluation.py in recommenders/evaluation |
813 | 30 |
rnn_cell_implement.py in recommenders/models/deeprec/models/sequential |
541 | 10 |
spark_evaluation.py in recommenders/evaluation |
534 | 30 |
base_model.py in recommenders/models/deeprec/models |
514 | 26 |
amazon_reviews.py in recommenders/datasets |
437 | 14 |
deeprec_utils.py in recommenders/models/deeprec |
435 | 16 |
xDeepFM.py in recommenders/models/deeprec/models |
409 | 7 |
mind_all_iterator.py in recommenders/models/newsrec/io |
407 | 12 |
movielens.py in recommenders/datasets |
398 | 19 |
sequential_iterator.py in recommenders/models/deeprec/io |
370 | 6 |
dkn.py in recommenders/models/deeprec/models |
370 | 10 |
rbm.py in recommenders/models/rbm |
327 | 27 |
lightgcn.py in recommenders/models/deeprec/models/graphrec |
294 | 12 |
sum_cells.py in recommenders/models/deeprec/models/sequential |
293 | 11 |
mind.py in recommenders/datasets |
290 | 13 |
sar_singlenode.py in recommenders/models/sar |
290 | 11 |
mind_iterator.py in recommenders/models/newsrec/io |
283 | 12 |
ncf_singlenode.py in recommenders/models/ncf |
273 | 8 |
multinomial_vae.py in recommenders/models/vae |
268 | 22 |
dkn_iterator.py in recommenders/models/deeprec/io |
259 | 8 |
base_model.py in recommenders/models/newsrec/models |
259 | 18 |
naml.py in recommenders/models/newsrec/models |
255 | 12 |
sequential_base_model.py in recommenders/models/deeprec/models/sequential |
252 | 9 |
standard_vae.py in recommenders/models/vae |
237 | 22 |
RLRMCalgorithm.py in recommenders/models/rlrmc |
228 | 9 |
newsrec_utils.py in recommenders/models/newsrec |
226 | 7 |
databricks_install.py in tools |
225 | 3 |
tf_utils.py in recommenders/utils |
218 | 15 |
nextitnet_iterator.py in recommenders/models/deeprec/io |
211 | 2 |
pandas_df_utils.py in recommenders/datasets |
203 | 15 |
SARPlus.py in contrib/sarplus/python/pysarplus |
198 | 7 |
dataset.py in recommenders/models/ncf |
189 | 8 |
tfidf_utils.py in recommenders/models/tfidf |
186 | 15 |
nextitnet.py in recommenders/models/deeprec/models/sequential |
177 | 6 |
layers.py in recommenders/models/newsrec/models |
173 | 19 |
conjugate_gradient_ms.py in recommenders/models/rlrmc |
163 | 2 |
geoimc_data.py in recommenders/models/geoimc |
160 | 13 |
 pysarplus.cpp in contrib/sarplus/python/src |
153 | 7 |
vw.py in recommenders/models/vowpal_wabbit |
153 | 8 |
svd_training.py in recommenders/tuning/nni |
149 | 3 |
lightgbm_utils.py in recommenders/models/lightgbm |
148 | 4 |
iterator.py in recommenders/models/deeprec/io |
147 | 9 |
lightfm_utils.py in recommenders/models/lightfm |
138 | 7 |
generate_conda_file.py in tools |
137 | - |
score_sar_entry.py in contrib/azureml_designer_modules/entries |
133 | 6 |
npa.py in recommenders/models/newsrec/models |
133 | 6 |
lstur.py in recommenders/models/newsrec/models |
132 | 8 |
ncf_training.py in recommenders/tuning/nni |
132 | 4 |
spark_splitters.py in recommenders/datasets |
128 | 5 |
python_splitters.py in recommenders/datasets |
125 | 5 |
Files With Most Units (Top 20)
| File | # lines | # units |
|---|---|---|
python_evaluation.py in recommenders/evaluation |
813 | 30 |
spark_evaluation.py in recommenders/evaluation |
534 | 30 |
rbm.py in recommenders/models/rbm |
327 | 27 |
base_model.py in recommenders/models/deeprec/models |
514 | 26 |
multinomial_vae.py in recommenders/models/vae |
268 | 22 |
standard_vae.py in recommenders/models/vae |
237 | 22 |
movielens.py in recommenders/datasets |
398 | 19 |
layers.py in recommenders/models/newsrec/models |
173 | 19 |
base_model.py in recommenders/models/newsrec/models |
259 | 18 |
deeprec_utils.py in recommenders/models/deeprec |
435 | 16 |
pandas_df_utils.py in recommenders/datasets |
203 | 15 |
tfidf_utils.py in recommenders/models/tfidf |
186 | 15 |
tf_utils.py in recommenders/utils |
218 | 15 |
amazon_reviews.py in recommenders/datasets |
437 | 14 |
mind.py in recommenders/datasets |
290 | 13 |
geoimc_data.py in recommenders/models/geoimc |
160 | 13 |
lightgcn.py in recommenders/models/deeprec/models/graphrec |
294 | 12 |
mind_all_iterator.py in recommenders/models/newsrec/io |
407 | 12 |
mind_iterator.py in recommenders/models/newsrec/io |
283 | 12 |
naml.py in recommenders/models/newsrec/models |
255 | 12 |
Files With Long Lines (Top 8)
There are 8 files with lines longer than 120 characters. In total, there are 19 long lines.
| File | # lines | # units | # long lines |
|---|---|---|---|
databricks_install.py in tools |
225 | 3 | 10 |
pysarplus.cpp in contrib/sarplus/python/src |
153 | 7 | 2 |
 SARCacheOutputWriter.scala in contrib/sarplus/scala/src/main/scala/com/microsoft/sarplus |
71 | 3 | 2 |
 stratified_splitter.yaml in contrib/azureml_designer_modules/module_specs |
54 | - | 1 |
SARPlus.py in contrib/sarplus/python/pysarplus |
198 | 7 | 1 |
movielens.py in recommenders/datasets |
398 | 19 | 1 |
python_evaluation.py in recommenders/evaluation |
813 | 30 | 1 |
spark_evaluation.py in recommenders/evaluation |
534 | 30 | 1 |