facebookresearch / RandomizedValueFunctions
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 34 files with 3,076 lines of code.
    • 0 very long files (0 lines of code)
    • 0 long files (0 lines of code)
    • 0 medium size files (0 lines of codeclsfd_ftr_w_mp_ins)
    • 11 small files (1,565 lines of code)
    • 23 very small files (1,511 lines of code)
0% | 0% | 0% | 50% | 49%
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% | 0% | 50% | 49%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
qlearn/atari0% | 0% | 0% | 62% | 37%
qlearn/commun0% | 0% | 0% | 51% | 48%
qlearn/toys0% | 0% | 0% | 19% | 80%
qlearn/envs0% | 0% | 0% | 0% | 100%
ROOT0% | 0% | 0% | 0% | 100%
Longest Files (Top 34)
File# lines# units
train_mnf_agent.py
in qlearn/atari
 172 1
train_bayes_backprop_agent.py
in qlearn/atari
 170 1
train_prior_bootstrapped_agent.py
in qlearn/atari
 168 1
train_bootstrapped_agent.py
in qlearn/atari
 168 1
train_dqn.py
in qlearn/atari
 165 1
train_noisy_agent.py
in qlearn/atari
 164 1
local_mnf_layer.py
in qlearn/commun
 131 6
mnf_toy_regression.py
in qlearn/commun
 112 5
main_nchain.py
in qlearn/toys
 107 -
local_mnf_toy_regression.py
in qlearn/commun
 104 6
mnf_layer.py
in qlearn/commun
 104 5
dropout_toy_regression.py
in qlearn/commun
 97 5
model.py
in qlearn/toys
 96 16
toy_regression.py
in qlearn/commun
 96 6
mnf_agent.py
in qlearn/atari
 94 7
local_mnf_agent.py
in qlearn/atari
 93 8
bootstrapped_agent.py
in qlearn/atari
 86 7
bayes_backprop_agent.py
in qlearn/atari
 86 8
noisy_agent.py
in qlearn/atari
 85 7
dqn_agent.py
in qlearn/atari
 77 7
bootstrapped_agent.py
in qlearn/toys
 75 6
prior_bootstrapped_agent.py
in qlearn/atari
 74 4
norm_flows.py
in qlearn/commun
 72 6
mnf_agent.py
in qlearn/toys
 66 4
bayes_backprop_agent.py
in qlearn/toys
 65 4
noisy_agent.py
in qlearn/toys
 64 4
agent.py
in qlearn/toys
 60 5
variational_dropout_layer.py
in qlearn/commun
 58 5
bayes_backprop_layer.py
in qlearn/commun
 43 5
noisy_layer.py
in qlearn/commun
 37 5
nchain.py
in qlearn/envs
 29 3
utils.py
in qlearn/commun
 27 2
test.py
in qlearn/toys
 26 1
setup.py
in root
 5 -
Files With Most Units (Top 20)
File# lines# units
model.py
in qlearn/toys
 96 16
local_mnf_agent.py
in qlearn/atari
 93 8
bayes_backprop_agent.py
in qlearn/atari
 86 8
noisy_agent.py
in qlearn/atari
 85 7
bootstrapped_agent.py
in qlearn/atari
 86 7
mnf_agent.py
in qlearn/atari
 94 7
dqn_agent.py
in qlearn/atari
 77 7
bootstrapped_agent.py
in qlearn/toys
 75 6
local_mnf_toy_regression.py
in qlearn/commun
 104 6
toy_regression.py
in qlearn/commun
 96 6
local_mnf_layer.py
in qlearn/commun
 131 6
norm_flows.py
in qlearn/commun
 72 6
agent.py
in qlearn/toys
 60 5
noisy_layer.py
in qlearn/commun
 37 5
variational_dropout_layer.py
in qlearn/commun
 58 5
mnf_toy_regression.py
in qlearn/commun
 112 5
mnf_layer.py
in qlearn/commun
 104 5
dropout_toy_regression.py
in qlearn/commun
 97 5
bayes_backprop_layer.py
in qlearn/commun
 43 5
noisy_agent.py
in qlearn/toys
 64 4
Files With Long Lines (Top 13)

There are 13 files with lines longer than 120 characters. In total, there are 23 long lines.

File# lines# units# long lines
main_nchain.py
in qlearn/toys
 107 - 7
model.py
in qlearn/toys
 96 16 2
train_bayes_backprop_agent.py
in qlearn/atari
 170 1 2
local_mnf_agent.py
in qlearn/atari
 93 8 2
train_mnf_agent.py
in qlearn/atari
 172 1 2
train_dqn.py
in qlearn/atari
 165 1 1
train_prior_bootstrapped_agent.py
in qlearn/atari
 168 1 1
train_bootstrapped_agent.py
in qlearn/atari
 168 1 1
train_noisy_agent.py
in qlearn/atari
 164 1 1
noisy_layer.py
in qlearn/commun
 37 5 1
local_mnf_toy_regression.py
in qlearn/commun
 104 6 1
mnf_toy_regression.py
in qlearn/commun
 112 5 1
bayes_backprop_layer.py
in qlearn/commun
 43 5 1