facebookresearch / gtn_applications
File Change Frequency

File change frequency (churn) shows the distribution of file updates (days with at least one commit).

File Change Frequency Overall
File Change Frequency Overall
The number of recorded file updates
  • There are 20 files with 2,772 lines of code.
    • 0 files changed more than 100 times (0 lines of code)
    • 0 files changed 51-100 times (0 lines of code)
    • 5 files changed 21-50 times (1,667 lines of code)
    • 4 files changed 6-20 times (387 lines of code)
    • 11 files changed 1-5 times (718 lines of code)
0% | 0% | 60% | 13% | 25%
Legend:
101+
51-100
21-50
6-20
1-5

Detailed data...

File Change Frequency per File Extension
json, py, md, txt, sh, gitignore, ipynb, arpa
File Change Frequency per Extension
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
py0% | 0% | 60% | 14% | 25%
arpa0% | 0% | 0% | 0% | 100%
File Change Frequency per Logical Decomposition
primary
primary (file change frequency)
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
ROOT0% | 0% | 93% | 6% | 0%
datasets0% | 0% | 33% | 0% | 66%
scripts0% | 0% | 0% | 40% | 59%
benchmarks0% | 0% | 0% | 79% | 20%
Most Frequently Changed Files (Top 20)

See data for all files...

File# lines# unitslast modified
(days ago)		created
(days ago)		# changes
train.py
in root
 305 6 401 606 38
models.py
in root
 367 21 295 603 31
utils.py
in root
 376 32 411 603 25
iamdb.py
in datasets
 217 15 414 606 23
transducer.py
in root
 402 18 414 565 21
test.py
in root
 102 3 411 551 11
transducer_benchmark.py
in benchmarks
 94 3 414 552 8
build_transitions.py
in scripts
 172 6 414 534 8
ctc_benchmark.py
in benchmarks
 19 1 414 552 7
asg_benchmark.py
in benchmarks
 20 1 414 550 5
librispeech.py
in datasets
 70 1 414 508 5
__init__.py
in datasets
 3 - 414 603 4
time_utils.py
in benchmarks
 10 1 414 548 3
wsj.py
in datasets
 70 1 303 415 3
audioset.py
in datasets
 115 12 303 415 3
load_arpa.py
in scripts
 116 3 414 485 3
preprocess_librispeech.py
in datasets
 51 4 414 508 2
make_wordpieces.py
in scripts
 115 6 399 408 2
preprocess_wsj.py
in datasets
 128 5 414 415 2
arpa
lm_small.arpa
in scripts
 20 - 485 485 1