facebookresearch / ReAgent
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 387 files with 33,074 lines of code.
    • 1 very long files (1,160 lines of code)
    • 8 long files (5,211 lines of code)
    • 31 medium size files (8,911 lines of codeclsfd_ftr_w_mp_ins)
    • 60 small files (8,041 lines of code)
    • 287 very small files (9,751 lines of code)
3% | 15% | 26% | 24% | 29%
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
py3% | 17% | 27% | 26% | 25%
scala0% | 0% | 74% | 0% | 25%
h0% | 0% | 25% | 0% | 74%
cpp0% | 0% | 0% | 10% | 89%
yaml0% | 0% | 0% | 0% | 100%
cfg0% | 0% | 0% | 0% | 100%
toml0% | 0% | 0% | 0% | 100%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
reagent/ope30% | 31% | 34% | 0% | 2%
reagent/core0% | 42% | 0% | 25% | 31%
reagent/lite0% | 99% | 0% | 0% | <1%
reagent/models0% | 24% | 39% | 16% | 19%
reagent/prediction0% | 80% | 0% | 0% | 19%
reagent/evaluation0% | 26% | 41% | 28% | 3%
reagent/replay_memory0% | 71% | 0% | 0% | 28%
reagent/training0% | 0% | 29% | 56% | 14%
reagent/gym0% | 0% | 30% | 38% | 30%
reagent/preprocessing0% | 0% | 68% | 18% | 13%
reagent/model_managers0% | 0% | 27% | 48% | 24%
reagent/data0% | 0% | 84% | 0% | 15%
preprocessing/src0% | 0% | 74% | 0% | 25%
reagent/workflow0% | 0% | 28% | 38% | 33%
serving/reagent0% | 0% | 9% | 5% | 85%
reagent/mab0% | 0% | 0% | 63% | 36%
reagent/scripts0% | 0% | 0% | 99% | <1%
reagent/reporting0% | 0% | 0% | 20% | 79%
reagent/model_utils0% | 0% | 0% | 99% | <1%
reagent/samplers0% | 0% | 0% | 98% | 1%
reagent/net_builder0% | 0% | 0% | 0% | 100%
reagent/optimizer0% | 0% | 0% | 0% | 100%
reagent/publishers0% | 0% | 0% | 0% | 100%
ROOT0% | 0% | 0% | 0% | 100%
reagent/validators0% | 0% | 0% | 0% | 100%
serving/scripts0% | 0% | 0% | 0% | 100%
serving0% | 0% | 0% | 0% | 100%
reagent0% | 0% | 0% | 0% | 100%
Longest Files (Top 50)
File# lines# units
slate_estimators.py
in reagent/ope/estimators
 1160 108
types.py
in reagent/core
 852 54
optimizer.py
in reagent/lite
 766 60
predictor_wrapper.py
in reagent/prediction
 671 56
seq2slate.py
in reagent/models
 671 46
sequential_estimators.py
in reagent/ope/estimators
 624 36
contextual_bandits_estimators.py
in reagent/ope/estimators
 571 24
evaluation_data_page.py
in reagent/evaluation
 534 10
circular_replay_buffer.py
in reagent/replay_memory
 522 54
preprocessor.py
in reagent/preprocessing
 486 30
types.py
in reagent/ope/estimators
 433 63
pocman.py
in reagent/gym/envs/pomdp
 395 32
trainer_preprocessor.py
in reagent/gym/preprocessors
 386 25
synthetic_reward.py
in reagent/models
 355 25
transforms.py
in reagent/preprocessing
 344 42
rl_tabular_trainers.py
in reagent/ope/trainers
 337 31
utils.py
in reagent/gym
 331 12
weighted_sequential_doubly_robust_estimator.py
in reagent/evaluation
 324 9
seq2slate_reward.py
in reagent/models
 313 17
linear_trainers.py
in reagent/ope/trainers
 306 24
Timeline.scala
in preprocessing/src/main/scala/com/facebook/spark/rl
 302 4
oss_data_fetcher.py
in reagent/data
 299 23
sac_trainer.py
in reagent/training
 281 5
doubly_robust_estimator.py
in reagent/evaluation
 280 6
discrete_crr_trainer.py
in reagent/training
 269 9
training.py
in reagent/workflow
 261 6
dqn_trainer_base.py
in reagent/training
 254 12
discrete_crr.py
in reagent/model_managers/discrete
 253 17
ope_adapter.py
in reagent/evaluation
 252 16
normalization.py
in reagent/preprocessing
 250 11
manual_data_module.py
in reagent/data
 247 23
dqn_trainer.py
in reagent/training
 234 9
Containers.h
in serving/reagent/serving/core
 229 23
estimator.py
in reagent/ope/estimators
 222 16
seq2slate_trainer.py
in reagent/training/ranking
 218 6
cem_planner.py
in reagent/models
 217 8
MultiStepTimeline.scala
in preprocessing/src/main/scala/com/facebook/spark/rl
 215 3
synthetic_reward.py
in reagent/model_managers/model_based
 209 11
actor.py
in reagent/models
 208 20
actor_critic_base.py
in reagent/model_managers
 201 14
dueling_q_network.py
in reagent/models
 193 12
slate_q_trainer.py
in reagent/training
 192 11
world_model_evaluator.py
in reagent/evaluation
 186 7
seq2reward_trainer.py
in reagent/training/world_model
 179 9
changing_arms.py
in reagent/gym/envs
 179 17
qrdqn_trainer.py
in reagent/training
 174 7
replay_buffer_dataset.py
in reagent/gym/datasets
 171 6
discrete_dqn_base.py
in reagent/model_managers
 171 13
discrete_dqn.py
in reagent/model_managers/discrete
 169 10
ppo_trainer.py
in reagent/training
 167 7
Files With Most Units (Top 20)
File# lines# units
slate_estimators.py
in reagent/ope/estimators
 1160 108
types.py
in reagent/ope/estimators
 433 63
optimizer.py
in reagent/lite
 766 60
predictor_wrapper.py
in reagent/prediction
 671 56
types.py
in reagent/core
 852 54
circular_replay_buffer.py
in reagent/replay_memory
 522 54
seq2slate.py
in reagent/models
 671 46
transforms.py
in reagent/preprocessing
 344 42
sequential_estimators.py
in reagent/ope/estimators
 624 36
pocman.py
in reagent/gym/envs/pomdp
 395 32
rl_tabular_trainers.py
in reagent/ope/trainers
 337 31
preprocessor.py
in reagent/preprocessing
 486 30
synthetic_reward.py
in reagent/models
 355 25
trainer_preprocessor.py
in reagent/gym/preprocessors
 386 25
linear_trainers.py
in reagent/ope/trainers
 306 24
contextual_bandits_estimators.py
in reagent/ope/estimators
 571 24
Containers.h
in serving/reagent/serving/core
 229 23
aggregators.py
in reagent/core
 144 23
manual_data_module.py
in reagent/data
 247 23
oss_data_fetcher.py
in reagent/data
 299 23
Files With Long Lines (Top 5)

There are 5 files with lines longer than 120 characters. In total, there are 6 long lines.

File# lines# units# long lines
frechet.py
in reagent/samplers
 101 3 2
reagent_lightning_module.py
in reagent/training
 135 20 1
seq2slate_trainer.py
in reagent/training/ranking
 218 6 1
mdnrnn_trainer.py
in reagent/training/world_model
 120 6 1
synthetic_reward.py
in reagent/model_managers/model_based
 209 11 1