From 768c73b746f2ddc21132369ca01d2ae107b3e92f Mon Sep 17 00:00:00 2001
From: qiuyuan <380133194@qq.com>
Date: Thu, 9 Jan 2020 21:29:15 +0800
Subject: [PATCH 1/3] update README, modify hardcode path, add scripts.

---
 readme.md | 42 ++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 42 insertions(+)

diff --git a/readme.md b/readme.md
index 9f838dd..dfc1c61 100644
--- a/readme.md
+++ b/readme.md
@@ -3,6 +3,47 @@ This repos is developed based on the environment of:
 - Python 2.7
 - PyTorch 0.2
 
+However, now it is hard to build a environment meeting both.
+There is a workaround without installing python2, if you use `anaconda` or `miniconda`, you can create a virtual environment by 
+```
+conda create -n py2 python=2.7.
+```
+
+Then you can install the pytorch0.2 by 
+
+```
+conda install pytorch=0.2.0 cuda90 -c pytorch
+```
+Before that you should be aware of your cuda version if you want to use GPU.
+
+```
+nvcc --version
+```
+
+## (Update guideline) Follow the steps using script.
+After cloning the project, use `chmod +x file.sh` for each step to give them permission.
+
+`step0-start_envirionment.sh` 
+Build the environment.
+
+`step1-preproces.sh`
+Preprocess the raw data.
+
+`step2-prepare_training.sh`
+You should specify the DATA_DIR to the dataset (absolute).
+The number -1s are just placeholder.
+
+`step3-training.sh`
+Start training, you should specify the `--data_dir` (same as above).
+You'd better specify your log path in source code `run.py`.
+
+`step4-testing.sh`
+Start testing, you should specify the `--data_dir`.
+The number -1s are just placeholder.
+You'd better specify your log path in source code `run.py`
+
+After testing, the results are in the `dataset/result` folder.
+
 ## Data folder structure
 /media/BACKUP/ghproj_d/code_summarization/github-python/ is the folder to save all the data in this project, please replace it to your own folder.
 The data files are organized as follows in my computer:
@@ -54,6 +95,7 @@ python run.py test_a2c hybrid 1 0
 ```
 
 
+
 ## TODO
 - To build the AST, on the data preprocessing, I parse the AST into a json and then parse the json into AST on training. This kind of approach is not elegant.
 - On training, I don't know how to batchify the ASTs, so I have to put the ASTs into a list and encode them one by one. It's unefficient, making the training of one epoch takes about 2-3 hours. Please let me know if you have a better way to accelerate this process.

From 3fa43b512886feddbf239aa3a64eb9d8ae2decb5 Mon Sep 17 00:00:00 2001
From: qiuyuan <380133194@qq.com>
Date: Thu, 9 Jan 2020 21:30:21 +0800
Subject: [PATCH 2/3] update README, modify hardcode path, add scripts.

---
 .gitignore                                    |   7 ++
 lib/__init__.pyc                              | Bin 277 -> 302 bytes
 lib/__pycache__/__init__.cpython-36.pyc       | Bin 239 -> 264 bytes
 lib/data/Constants.pyc                        | Bin 400 -> 425 bytes
 lib/data/Dataset.pyc                          | Bin 3394 -> 3594 bytes
 lib/data/Dict.pyc                             | Bin 5079 -> 5429 bytes
 lib/data/Tree.pyc                             | Bin 10736 -> 11361 bytes
 lib/data/__init__.pyc                         | Bin 276 -> 301 bytes
 lib/data/__pycache__/Constants.cpython-36.pyc | Bin 333 -> 358 bytes
 lib/data/__pycache__/Dataset.cpython-36.pyc   | Bin 2655 -> 2680 bytes
 lib/data/__pycache__/Dict.cpython-36.pyc      | Bin 4075 -> 4100 bytes
 lib/data/__pycache__/Tree.cpython-36.pyc      | Bin 8578 -> 8603 bytes
 lib/data/__pycache__/__init__.cpython-36.pyc  | Bin 238 -> 263 bytes
 lib/eval/Evaluator.pyc                        | Bin 4063 -> 4188 bytes
 lib/eval/__init__.pyc                         | Bin 204 -> 229 bytes
 lib/eval/__pycache__/Evaluator.cpython-36.pyc | Bin 3446 -> 3471 bytes
 lib/eval/__pycache__/__init__.cpython-36.pyc  | Bin 187 -> 212 bytes
 lib/metric/Bleu.pyc                           | Bin 2657 -> 2782 bytes
 lib/metric/Loss.pyc                           | Bin 993 -> 1068 bytes
 lib/metric/PertFunction.pyc                   | Bin 2476 -> 2701 bytes
 lib/metric/Reward.pyc                         | Bin 2217 -> 2367 bytes
 lib/metric/__init__.pyc                       | Bin 285 -> 310 bytes
 lib/metric/__pycache__/Bleu.cpython-36.pyc    | Bin 2018 -> 2043 bytes
 lib/metric/__pycache__/Loss.cpython-36.pyc    | Bin 726 -> 751 bytes
 .../__pycache__/PertFunction.cpython-36.pyc   | Bin 2133 -> 2158 bytes
 lib/metric/__pycache__/Reward.cpython-36.pyc  | Bin 1568 -> 1593 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 247 -> 272 bytes
 lib/model/EncoderDecoder.pyc                  | Bin 31718 -> 33414 bytes
 lib/model/Generator.pyc                       | Bin 3859 -> 4109 bytes
 lib/model/GlobalAttention.pyc                 | Bin 1966 -> 2091 bytes
 lib/model/HybridAttention.pyc                 | Bin 2435 -> 2560 bytes
 lib/model/__init__.pyc                        | Bin 295 -> 320 bytes
 .../__pycache__/EncoderDecoder.cpython-36.pyc | Bin 23789 -> 23767 bytes
 .../__pycache__/Generator.cpython-36.pyc      | Bin 2963 -> 2988 bytes
 .../GlobalAttention.cpython-36.pyc            | Bin 1465 -> 1490 bytes
 .../HybridAttention.cpython-36.pyc            | Bin 1830 -> 1855 bytes
 lib/model/__pycache__/__init__.cpython-36.pyc | Bin 262 -> 287 bytes
 lib/train/Optim.pyc                           | Bin 2502 -> 2677 bytes
 lib/train/ReinforceTrainer.pyc                | Bin 6217 -> 6342 bytes
 lib/train/Trainer.pyc                         | Bin 4096 -> 4221 bytes
 lib/train/__init__.pyc                        | Bin 253 -> 278 bytes
 lib/train/__pycache__/Optim.cpython-36.pyc    | Bin 1818 -> 1843 bytes
 .../ReinforceTrainer.cpython-36.pyc           | Bin 4875 -> 4900 bytes
 lib/train/__pycache__/Trainer.cpython-36.pyc  | Bin 3181 -> 3206 bytes
 lib/train/__pycache__/__init__.cpython-36.pyc | Bin 225 -> 250 bytes
 requirements.txt                              |   4 +
 run.py                                        |  75 ++++++++----
 script/github/java_process.py                 | 115 ++++++++++++++----
 script/github/python_process.py               |  13 +-
 script/github/util.pyc                        | Bin 1218 -> 1338 bytes
 step0-start_environment.sh                    |   3 +
 step1-preprocess.sh                           |   5 +
 step2-prepare_training.sh                     |   3 +
 step3-training.sh                             |   2 +
 step4-testing.sh                              |   1 +
 55 files changed, 179 insertions(+), 49 deletions(-)
 create mode 100644 .gitignore
 create mode 100644 requirements.txt
 create mode 100644 step0-start_environment.sh
 create mode 100644 step1-preprocess.sh
 create mode 100644 step2-prepare_training.sh
 create mode 100644 step3-training.sh
 create mode 100644 step4-testing.sh

diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..aed4b72
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,7 @@
+dataset/*
+.vscode/*
+log*
+*.pyc
+log.preprocess
+java-dataset/*
+.dockerignore
\ No newline at end of file
diff --git a/lib/__init__.pyc b/lib/__init__.pyc
index e96893fe5508839aa6df5950097f48f1e24b4e10..58add1354914d0991aff329c87cd54c9dbffbdc7 100644
GIT binary patch
delta 100
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delta 75
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index 09f688dbf9874dc4489039a5a509eed26a41a377..1d1c584ed8c78b317f1f3ac804a4f9d5d74d1b4b 100644
GIT binary patch
delta 82
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delta 72
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diff --git a/lib/data/Constants.pyc b/lib/data/Constants.pyc
index 4ec7fa9fd90a4b93cc93964c8dfc1664d0aeb43d..001555734cc2883a40d2e71de0321a406f28c607 100644
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delta 88
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delta 77
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diff --git a/lib/data/Dataset.pyc b/lib/data/Dataset.pyc
index fcebc8b6ea5c146b5c39dc1ff5ae420215dcede1..c9cc95c1e4d902154dd0ae1c3f2e6a4d8e6b1411 100644
GIT binary patch
delta 774
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delta 459
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diff --git a/lib/data/Dict.pyc b/lib/data/Dict.pyc
index 5e71bc0bde3ee3b30fe8f86e4993d02837a42db4..43e93317a83e9ab8c350f8a3975b52a7ec9ed07a 100644
GIT binary patch
delta 1017
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delta 661
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diff --git a/lib/data/Tree.pyc b/lib/data/Tree.pyc
index 2f40ae675b6645531cda7760d934f1a5862ceb3f..801eb7ecb26ace5bf9f15e460d92110d10680e13 100644
GIT binary patch
delta 1816
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delta 1164
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diff --git a/lib/data/__init__.pyc b/lib/data/__init__.pyc
index 309a30b97522ac2e4051dbabfcea4c156d7d70ba..602c61fdff4729149d6ab9ae1a9c1154044f8648 100644
GIT binary patch
delta 100
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delta 75
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diff --git a/lib/data/__pycache__/Constants.cpython-36.pyc b/lib/data/__pycache__/Constants.cpython-36.pyc
index b119f26f216c1aa32926d641eaa80ae85c17c185..1315fd44e86e1cdfa20404aa3fb0399a2dcfb2a7 100644
GIT binary patch
delta 84
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delta 73
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diff --git a/lib/data/__pycache__/Dataset.cpython-36.pyc b/lib/data/__pycache__/Dataset.cpython-36.pyc
index dc3b161e057572cc253010b5e5ed3f7b8c1f4e94..c39421873ae16b724a1d50b7dd917d0ed4c17c58 100644
GIT binary patch
delta 100
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delta 75
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index 0efd40f9fc88524b363dd18ba39e84dba7d3843b..4dce05cf8c30333a6be6d79935040cb277fa36d6 100644
GIT binary patch
delta 100
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delta 75
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diff --git a/lib/data/__pycache__/Tree.cpython-36.pyc b/lib/data/__pycache__/Tree.cpython-36.pyc
index cf721d95ce5030bce50d11a53a304825a728234e..aacafa92bf0bc991bc18a4c2235b3166d82a86a9 100644
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delta 75
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index c3fb9c178834d0120a432e3b14138845dbe26b3f..fd891e7bd6959408b6939d443d0e2e1f57ef1a72 100644
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delta 97
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delta 56
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index 4a2417051cc9564eaac2be310e7b769495ad09da..34dad77be8dd5feeebc3dadbfbb5492e1e6b1647 100644
GIT binary patch
delta 476
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delta 439
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index 9b0d4c02ffe64dc1313bb4b6ff7fbfeba0e60925..44c388d712053b02a8d8ad62d4a722069f165bfa 100644
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delta 106
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delta 81
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index 7cee3de232ffa6f8b09dba1b64cc6bd3417d8fd4..89252d7bf7b74c44dc9285eed198b8aea0117ab6 100644
GIT binary patch
delta 363
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delta 410
zcmeB|{wBp`%*)I5e)sLDP0|~=b~2iH>SyHVrs|g`=2a%<>$?=?7bN9Z=%;5C6y;~>
z7E~IW=_lu>q{bJQ=H@0AWmYAYWaj5>7GS!^%ow%#J?jL<U?vVp9!3r(B}Nb_2O=32
z7-jgl7-blR82K25n0T0k7`YfFm;{)4n0Z+EfKY&)3n;?H!~s;x!^FoZ0#qjg)F}oL
zVcC3%U6F~=Z1NXQ1;&|^MY)>PEf^RWG?|JlfmD$hh|O5U2Vx6=2tg2G1texo-pA!^
zYz<@q)pCPGiPJZGvI+O63~i7GV-TSSB1}L8KajY^m{z0%q@!30ic(W<v6UnirKgq@
znS<m(b`=?c2v!hb3L-#mg1HauG%cV&FAx`N00{=B$$dPPj9Qc9dBrEo^9nQ8O*ZC@
F0RaBYOu+yE

diff --git a/lib/eval/__pycache__/__init__.cpython-36.pyc b/lib/eval/__pycache__/__init__.cpython-36.pyc
index 498b8bd5104d86e8d7ae658e8941939ee1bc5970..8fa8eb9ac73f579548f0ae21d13d762733c25a28 100644
GIT binary patch
delta 97
zcmdnZc!iO}n3tE!d!K0BM2>LZME#8X+*JL-%+kuz#JuE;)I5Fvyi}K>%(7JdfW(5-
zB7Null+@tTT>YZdwA7;1yyR5<WS~fVacORDVo_#QVo7FxUVK4mQch;_#K{@}Z>=NI

delta 72
zcmcb@xSNr~n3tF9Pvh07i5%f39{L&ixvBc)iFuWY`T8zJ`2|V&75eEJ1x5K;x&@WS
cX8OtbDXH<rrMbC@MVVEJC7Jno6W3?}0Il#F1poj5

diff --git a/lib/metric/Bleu.pyc b/lib/metric/Bleu.pyc
index f1af83587456550bda17ae2642eeeb1560220f35..bc168b431ecef6dbd1b4bc10f3794677b386bf02 100644
GIT binary patch
delta 445
zcmaDTa!-_l`7<w<_de0MjU3Av1L7GN81yspb5r#TGfOK=6Z4WYQuFlv^HN=kGRso+
z0}=~Ti}aoIQ&NLVbM=c-(^894^O95blYt`f#ihBqiA9-Ji6xo&dGQ6MNjaIxo1Za$
fqJgRWEU`?~ck5!dQtF#J*`IS6)tx$7hszWIWKN{K

delta 336
zcmca7`cQ;}`7<xq-^Qy^8#$IUn!7PDFz9FG=cekHC+1Zq=Igr@<rgI7SLml_6cpuW
z=@wKPo9QR#r=-Rgm*(as7G+i?mSpDVO?G4v*(}U-k8A@rJF>(wQDi$4dm=>!Og_#z
Mi4q4)-pi#30Q)s|tpET3

diff --git a/lib/metric/Loss.pyc b/lib/metric/Loss.pyc
index 7d83c948ba5590ef6c7a6beb6fda87f4b7ee1749..3bf4a72f1351e00fa42488308236209c45b892bd 100644
GIT binary patch
delta 280
zcmaFJzJ`N?`7<w<_de0MjU0W90r3nB4Eh=QxvBbvnWdGbiFwHxsd@VTd8sZ%nPsW^
z0f_~vMf%S9DXGDwx%x$^X{kl2dC95z$v~0#;?msQ#G=fq#FEVXy!e9Bq@2v;$s3qN
UCO>4HK?{SA(!x-Y$p@Gf0r^pAF#rGn

delta 197
zcmZ3(@sOQ^`7<xq-^Qy^8#($I&D|In81yspb5r%p6Z0w)^YvYd@(YskEA-Pd3X1Zx
sbPFnt&GeJ=Q&QuLOLKD*i!!ScOEUBGCO>0bL$=;WOh?Jq`<>Yo0Jf1y2LJ#7

diff --git a/lib/metric/PertFunction.pyc b/lib/metric/PertFunction.pyc
index 89137c790701514f0ed8caf987beb9a01d6b366d..3cee859afa0c89785e0c171a75726d583786f774 100644
GIT binary patch
delta 819
zcmZ1@+$+k#{F#@_d!K0BM2^=1=?n}E`WgATsrrSPrIn?LdC3{6dHVi&sV+sCWvTiB
zi3O=e`p)?&sllbW`bDW}sYR)I$*KCuK#}<3(%js{qRgtqlFa<P_=3`;oXq6Oajc4y
zy%}fF!eE)nW=w4~F?cgSvnwM_OrE@)rGe@OZ;oSKP9x{)aj;E}W3Q#UlY!|%X0jef
V5G@Rro_vWTg%$?OOzz}V1^{D!E1CcR

delta 459
zcmeAbT_eoF{F#^QZ{yXdi5#z0{1_M*^fU5vQ}xRe^C}bb^<9ec3zG6H^wTp6it@8`
z3o4DxCLd%Ko_vr)W^z2^T+%dTFtw4SVRIC-D<erdCUdhkkftG?k#+MQ);5x?QJVaP
Zy_OVf@<>rEJ$V*q3Mm>CCg*X<0{~31ok{=z

diff --git a/lib/metric/Reward.pyc b/lib/metric/Reward.pyc
index 3070ee2ecf7bf12c5c8b1e619518efa4c29652f5..ca4e8a8a65820bd59b94661acbebe03bccf6f2b1 100644
GIT binary patch
delta 744
zcmZ1}xL=5a`7<w<_de0MjT{Ax0f`I@4Eh=QxvBbvnWdGbiFwHxsd@VTd8sZ%nPsW^
z0f_~vMf%S9DXGDwx%x$^X{kl2dC95z$v~0#;?msQ#G=fq#FEVXy!e9Bq@2v;$sbw8
zCLd)KU@Vz@jj@s@#&4d(q`}C>4Rm-A&*W3gI&7REChz1w%#&$i-{d<i(;1~Em$16g
z!uY@b5T5}3kjVlhG`K*%0ePu}4@fu`7pE41!q>H^D8DF31|-P~BKScnKpH}dN>hV`
zK|(;x5F|L+mR*WX7Q~dB9LuhfA_iiL0|^Zvh7iRxiS<Y9ru86KLEI+=Vkv?Mb(pm@
Vbbx+NW|Dqx>f|4+{F8e)WC5@4>ahR-

delta 587
zcmdllv{I0R`7<xq-^Qy^8#xLX%{>?x81yspb5r%p6Z0w)^YvYd@(YskEA-Pd3X1Zx
zbPFnt&GeJ=Q&QuLOLKD*i!!ScOEUBGCJVBPO}@t{z*s!_J!2&$rffdPq`}C>1$0Ib
z_vAm!I&2&uCeLI&mdO+tyOvRM@_tq~3QQ22oXz&!AL1^ci!xb&ga()ka$pG`kZ>$6
zPAvk3hHFt#eo>G#P$-B8M1UkqKpH}dN>hV`Kte#w5F{{pA-fct42UT^`5?QBw<w4y
o1|&3q7(x_N5+m^(rtu)lA<mElu@pdr8jwI(0cKHTj}oUW0DN4hApigX

diff --git a/lib/metric/__init__.pyc b/lib/metric/__init__.pyc
index f6738cfc3cc381f66692122f3f6c777af328c53d..7c7880015a909067046770db32faa9c196c10a92 100644
GIT binary patch
delta 100
zcmbQsw2g^_`7<w<_de0Mi5#l~k{K8n^fU5vQ}qioODjtg^O7@C^Ys1mQeBEN%To0N
z5(`p`^quolQiDr#^@~!|Qj1dal2i4Qfg<t6rMbC@MVVEJC7Jno@dc$xIhn~5Ul{`c
D$w4Iu

delta 76
zcmdnSG?$5k`7<xq-^Qy^6FF9!doeID=x5~Trs|g`=2a%<>$?=?7bN9Z=%;5C6y;~>
g7E~IW=_lu>q{bJQ=H@0AWmYAYWaj5hW@a=701p-$KmY&$

diff --git a/lib/metric/__pycache__/Bleu.cpython-36.pyc b/lib/metric/__pycache__/Bleu.cpython-36.pyc
index d1dff194dee1ec90d25a1dc6503a2048b708538f..c7b38b8bb94c86c89da4e594261d33b0aac2ef91 100644
GIT binary patch
delta 100
zcmaFF|C^t~n3tE!d!K0BMvgE>-+29u{M=Oi!pzdj(!{*vjMO}R|GZR}qRg^X{eZ-R
z)FOT7{FKz-(p>$b)U?#1)V$<W{bZm>d~s=RZemepRbokIeqMY*X;MyR^5#j50c-&8
Cpd_gP

delta 60
zcmey(|A?Q%n3tF9Z{yXdjT~W&if;ND`MIh3<%xNfiTV02Mfn9u`4#%<83jf8S-J(4
Q#%7ZzG74{A%^1K20Fmz%M*si-

diff --git a/lib/metric/__pycache__/Loss.cpython-36.pyc b/lib/metric/__pycache__/Loss.cpython-36.pyc
index 974d3692e54ab1e0f072ef880ecf52e18b158ac1..c4995731a261d9bf41b12743f5da35b4364089d0 100644
GIT binary patch
delta 100
zcmcb{`ks};n3tE!d!K0BMh<gE-+29u{M=Oi!pzdj(!{*vjMO}R|GZR}qRg^X{eZ-R
z)FOT7{FKz-(p>$b)U?#1)V$<W{bZm>d~s=RZemepRbokIeqMY*X;MyR^5$a3WJUng
C3M5Sc

delta 75
zcmaFQdX1ICn3tF9Z{yXdjU48TCT{u}`MIh3<%xNfiTV02Mfn9u`4#%<83jf8S-J(4
e#%B7-`6;RK#ihBqiA9-Ji6xo&d7FC}lNka0G8=*b

diff --git a/lib/metric/__pycache__/PertFunction.cpython-36.pyc b/lib/metric/__pycache__/PertFunction.cpython-36.pyc
index 0f09589fa029671c0ba5806308e15fe57f5af29d..8586cb4899520aa2791bfc5dc699bc390afdcdc4 100644
GIT binary patch
delta 85
zcmcaA@J@ikn3tE!d!K0BM2;86>G~P@xvBbvnWdGbiFwHxsd@VTd8sZ%nPsW^0f_~v
pMf%S9DXGDwx%x$^X{kl2dC94h1sR3e;|ofYax#-Qt1ud}0{{tP9cKUl

delta 74
zcmaDSa8-cAn3tF9Z{yXdi5xFX{PZ*Ob5r%p6Z0w)^YvYd@(YskEA-Pd3X1ZxbPFnt
e&GeJ=Q&QuLOLKD*i!!ScOEUBGHrp~9vI77eF&nc0

diff --git a/lib/metric/__pycache__/Reward.cpython-36.pyc b/lib/metric/__pycache__/Reward.cpython-36.pyc
index 9a56b76c567adc97caf0a5080bbda3fed82b59d5..de19bcc725e98cbeea3d340400e2f116a09572a4 100644
GIT binary patch
delta 100
zcmZ3$vy+Fzn3tE!d!K0BMh+cD-$eb4{M=Oi!pzdj(!{*vjMO}R|GZR}qRg^X{eZ-R
z)FOT7{FKz-(p>$b)U?#1)V$<W{bZm>d~s=RZemepRbokIeqMY*X;MyR^5zW29V`H?
CAS5#Y

delta 75
zcmdnVvw(-gn3tF9Z{yXdjT}0RCLa13`MIh3<%xNfiTV02Mfn9u`4#%<83jf8S-J(4
f#%B7-`6;RK#ihBqiA9-Ji6xo&d7B#<cd!5e-&Y%G

diff --git a/lib/metric/__pycache__/__init__.cpython-36.pyc b/lib/metric/__pycache__/__init__.cpython-36.pyc
index 6b3d3056182bbcd2d817ad4708c1f6c02925a849..ee5a426da77993dc6f1e2b6e9de61dc82b4750a7 100644
GIT binary patch
delta 97
zcmey)IDv`7n3tE!d!K0BM2>FXWc`f%+*JL-%+kuz#JuE;)I5Fvyi}K>%(7JdfW(5-
zB7Null+@tTT>YZdwA7;1yyR5<WS~fVacORDVo_#QVo7FxUVK4mQch;_#N!44e?ufZ

delta 72
zcmbQh^qrBzn3tF9Z{yXdi5%S~UiumNxvBc)iFuWY`T8zJ`2|V&75eEJ1x5K;x&@WS
cX8OtbDXH<rrMbC@MVVEJC7Jno6CW4=0Jtz4aR2}S

diff --git a/lib/model/EncoderDecoder.pyc b/lib/model/EncoderDecoder.pyc
index 141b071e02b722a480bdcb9bfb344778f1918001..7cb7d57af2bf7a84077221d04bd121476e45ab0f 100644
GIT binary patch
delta 5871
zcmb_gT}+#06z+M;*Y>NWbd&;L;mastbQ85O<!=lb1EqtpN+*j<+4%b^UB-_k;0i92
zi)~pP+2*;yY#NEqxEp18HPLCJ&S+vX61{-LizWMGhG-^>7iK0J&s$?+ygvDorfHMs
zeV+52=bX2_`#YRCE?oBCvfZB>1qUv>B3jL`&1Q=XkBwN7my(m|$^Oy7VQVxJ8?{<f
z$tf%HO#ir*inNRkS$ii(A}K3jrL56G3l}Q<&V%EV1Ba7?IO_|^Gg^z_!0PHSWw|Q`
zOj!7x9&myIIp7Ce)%S3~&iYJw(j8`zOQnMvbY}m^K`fLXf)=dzHgSNFO0AiCqgwvp
zO|#gcw06jMd}mqEl-O=Oox6)mY#WJfmyh}9Sm-IS3Cs(uaL`j)Q`nMU&jCip;`jMk
zV9DkDGb~L^nZ-{G4;;g9j3pk5AxO)ggIO%}RQ2XDYQ}h|nc4t#$`QG4zRE&Rb;^5q
zFI*sRl*H{E9F^cJ_*z*n2bh`zFO%SlvU$_9Y=T$iz3^=oG!iQw*s!7^&ZTya)ZURR
z75iBDk-ef6<gekNz_%+u<{+v3t-%kf_HuwJf6tNPklequhf6WUrKfs@X^@)Q<HXOB
z4Yeej;ku&6)nc6sj>u2zhFK7mA;)og8{33=odkDbX~Q`Dg!kP6T-(}=YYk6f`_7HH
ze|wc%(D!@dJLwhQ-+qCkDAcCGH^63_2ok6bJoM=F_=F!GhLF6{2rQMNZVSxQ0hiQK
z-po-t6hWboWlbe4Cnzr@zPTgHQx(&Ho><N+x(<5d0Ntm%<?iMfS5(Ze6n1f@6#uI_
z=mLGMLHHKOYqz<bwxf32D|TC36c4qQ!YMh|TE|i`^2Ai0EGr^;86p`^Kof=324zA%
z@pLWAN#sr59d$}>=9EIZmOG#r!nnAjn#nHgi)Q6~`5(LT^c*=6<;l64<@W)r+gCZ*
zc6HQ?2Ov*(>|)vaYOHOEdBcAx@#UEUyTMD38}ft!g^&#!ARuzd&;aBJJP^Chp+e=Y
z5Ss>4=;@l^0Hk)r^;8ywaQ9#*Zi=&X#<_S1%B75_SYoS6o$k(tE%IddEf&Ptr26T0
z^|@)T3ZCuB+OV!V!AG4yQ_H1mdQe{MX<-R61p)f7`T1*1bhXRG@<o|=!OucZ`LopP
zhr{w_@7Fy3&@JgIah$?G`_?!_tJomL<|7WUe<O2&A~VAQsN%99ONMILinl_=dslv#
zIM0Ka42jPKcBVJuwd6hy#Z*G=I&nNGXAX6;G@;7K3S&kbDkIm0Y#VVg@iVm>1bGW@
z_7=!5M&IH>EmA@GMbPZ|=Q81@4MZCU%ArbNU+e^4>Tl$*OhxDq<_HP99XkhErZ8oQ
z{%Vz>p=zF%_n8hAqKE9bm?#Dzml8*LfNAy6u1z1~@PuNt@h-7kR`#n~9<3fHtsb}T
u_2?c=x9j=x$>|)HR#Q`cVdfEIvk@?g48QTH(PT6ll|~zVQfZ7CQ-1?JtF|%#

delta 4125
zcmbVPU2GIp6rOu$r`_4K-L~5;JMB!%l+v}>cGr|rS}5KAm~9oi(w1t|K;7Df<*&PR
zS4wM<s^9~OfISat<Vjx$g3#Q?L=zs=V2o(ssX!ux_(N<AKPm|izIZN)#>YA4COh|G
zzx#dXJKvnU`_@r@=Mi(Of98AIuEj<c+##(xrYK4%nc9~KO~ogs<Ec>hWGX$DIvCoS
zOi!kE*Qci&*MaT!LBzDhX|0P>5T<y+{X8Qfz~?E=bsNm9`cw#e`Y2#a{N@Rg1lp_v
zj^y8PPI7h1W_@s_pxrqnVp>`Ux*QR6-f5B<HX9OqicS(RQr=6j&(}+n7e#qn#S<lO
z6R0o`Y(E4`mz+~cb%!9eqQyBxnzt3zrA1lb1gW(qMBdQ!iNw_C&UiL)3|5tYPocHh
z5iw@E2$ZtAkKlSmj6!2+V_4mr;{D1w0u_4C7ZkV^E)^eE^{dVarN&FJqh_0P2zCI%
zK^MCqnu3EwjSm!YD_q8*wC)?{gs73b7;LHUcaD)F3maVQzVJ5;(L}O(aWj0CfRP?{
zK;_y2l05Al>~o#?dF?QPO1@*`;(YTG>AkeHM&z0jk6LUJ&h%tm2+U*?>0{#fh9m(j
zJ$V<BZN%))Bi+kTyD7~c!uF;ic(Cbd|2S8oJ+n;NUG(pB@@r^o@3B<;c3*#|lvsct
zsdTm>8PANyv)PH(m2jf{6r~|{#m5W}s=$L3mWNBnRmgp84YQfX+~U&+BN!m()O&c;
zML52pTy%H(30P^~w{W?uhoawtxo(&DjI1FCd2^Uvtmg~pjuGQ^9nLrVb01f&tB{VC
zu`i&mwN=Yi4yg)UiB{np{3E)aP!3vAF0HsLwH4z=L1)WZfCscZR;`J}-e$sSXpWcj
ze@@~7{9yolo^2&r<vWEUuKmX<zwQ^SH&X&GCvGvH@B4*9Y{Hh9#ml%z$9f4vI%1lz
zdcYg3m1WmR1M@tr0GCHCQ4JPg`K*Zfc`>Wb^)qh~j12tbT$K!40xk@a3b7!abnyue
z#`I<w9BOh-7ujXAjQDG4k`zl5ZVVT&1LD`=A4xb%`vKiL2^+V~5G0zG|1`piq}_$M
z!FS26d-aWC{q`<GQsuBd2X{xmBT>(1Tx?N18TXNxOgJ-E!ajq!><Y0oc9v+;mssRi
z@G!CLT&axBZH&z%j34ZD4wLt?jLx!*4y7l%Y<`c6oS7zCX*o+++V31bnKeal?`t&h
z<M6oQ^TV|eNez*T)NUg0S>aAUM{1+ZSE+Ds^fHMH6T{c2P#0f@`<Y4-H0L(T45{Mv
z>>^30Wy{F4;02s1!HvQ^xN!Ec8vYc|!)LJzR_?gyTnomDKcm9J;Qs%WCpG|q=~tc8
z$tm=r&}P;V10mBi0_SEeT`gtBii?}72=9G`c#51!8I09of?(6Cyo0bRX}P>ZaVF*J
vn(ony^7K4SSM`9nH0LEXQT`#SHyRDUQEvE*dZXQFGn$Pk?ploxj01lIXLRE)

diff --git a/lib/model/Generator.pyc b/lib/model/Generator.pyc
index f9654bc95ebb6132a4f9dddd929a266e13544f8c..554c9b13de4a8ee6ab29949628d53e71e2820f12 100644
GIT binary patch
delta 908
zcmbO%*Q>z6{F#@_d!K0BMvi%m0m%#u4Eh=QxvBbvnWdGbiFwHxsd@VTd8sZ%nPsW^
z0f_~vMf%S9DXGDwx%x$^X{kl2dC95z$v~0#;?msQ#G=fq#FEVXy!e9Bq@2v;$%*U|
zlfN=9r-i}dn_n^UGtt6iiOn9Y8Z-$E@yYwxa;Wa)&57*pG;yxP=I<P|3gS@i{j_oO
Z<Ye9mss}MRA#?G~riH=clRxt*006;SOxpke

delta 508
zcmeBGm@LP^{F#^QPvh07jU4kBRlFD&81yspb5r%p6Z0w)^YvYd@(YskEA-Pd3X1Zx
zbPFnt%_b+Z3QxYrE-{&pX*nqx#5c<@^D~j6Lt^t}Rt=IIB|ce+J%?y3Hs51+C&_q;
k&AptYdVz&!KWTPM*5->K+6&-_c+EGP6b<5&-|{N}04;#1R{#J2

diff --git a/lib/model/GlobalAttention.pyc b/lib/model/GlobalAttention.pyc
index f704739bb09c11df55187e135c085bd6d89ee9b5..6fadbe4d33e308a7ff578256bf76b0728642244c 100644
GIT binary patch
delta 467
zcmZ3-zgmEU`7<w<_de0MjU4h!0htU84Eh=QxvBbvnWdGbiFwHxsd@VTd8sZ%nPsW^
z0f_~vMf%S9DXGDwx%x$^X{kl2dC95z$v~0#;?msQ#G=fq#FEVXy!e9Bq@2v;$#G0A
sv@le5vl(+QO`Iz`S)5IRnMs;)vJsmfEu1bl`6^pFEew{OJb_&f053kMH2?qr

delta 267
zcmZ22u#TUD`7<xq-^Qy^8#&~eR00?n81yspb5r%p6Z0w)^YvYd@(YskEA-Pd3X1Zx
zbPFnt%_bW%3s3&QE<1S&Q#vUc<ThtA_mE_T+~j07ab|XD*2%SOexz6>JK2IggA@(c
E0N~MAT>t<8

diff --git a/lib/model/HybridAttention.pyc b/lib/model/HybridAttention.pyc
index 072753ab106606fa378be62f1077a0eec611d7a7..2ece87679ecf723e972633e06979b35024f1b3c0 100644
GIT binary patch
delta 459
zcmZn`ZV=&M{>;ney-zf5BZn1JKqdnNgMLPSZmND^W@%+<VqS7aYM#D-UaCt`W?8C!
zKw?2^k-l?&N@{Rvu6|K!T53^hUUI5_GEgMGxHLC6u_&`Du_QA;FTS8ODJL^|@_u&N
l$<vr>XkoD2=5%I77Fw7*jTVN=PF~58K?{TBCZ}=A0swC+sVx8i

delta 259
zcmZn=X%^;S{>;nuxAAJ!Mh+_`l>i0?2K|iu+*JMY#JtMHe0`Uq{DP$X3jOqqf};E^
w-GWMEv&o6f!jnI6$W7kBR85Ko+08SUl~_p9F<G6Xk`xWCq$rl1{D@Ny0PrhUTL1t6

diff --git a/lib/model/__init__.pyc b/lib/model/__init__.pyc
index fddea6cbaf5fd250de3684c2f3ea834551376e03..b6ccf49481e4abbbe93c9c4c203091a17d8bd654 100644
GIT binary patch
delta 100
zcmZ3^bbyJ2`7<w<_de0Mi5%Mkk{B2m^fU5vQ}qioODjtg^O7@C^Ys1mQeBEN%To0N
z5(`p`^quolQiDr#^@~!|Qj1dal2i4Qfg<t6rMbC@MVVEJC7Jno@dc$xIhn~5zZwAm
D)Mh0x

delta 76
zcmX@Ww48~9`7<xqx@|wACUR^u_hevT(9g)vP1P??%&Sby*LNw(FG$L-&`-}OD9X>$
gEvPg$(@)M%NsTWq&CN|L%B)H($;{82%*SX102x*raR2}S

diff --git a/lib/model/__pycache__/EncoderDecoder.cpython-36.pyc b/lib/model/__pycache__/EncoderDecoder.cpython-36.pyc
index 8bfae1a0cf29f0c89da675b261138bdb5bd45f2e..570cfe64685bb24dd371d58ba5b4d83198bcad14 100644
GIT binary patch
delta 3174
zcmdT`dr*{B6yI}s?6R`3emq@Rc?8HNxQHMQk5CjaKuAS<DA0<FuJQ81I?7O3PBTu9
zlX@CMol(ibB-7Nd7n+J?r70=+Vi>D&dW?^8vOk*9nzVcF;-DKfTK!SGGru|aocrDT
zyXTzWcfaeMaG?|Q;|vCU;h~`N1262=`*==UXkA!WW4A7LIF~tXwUrC)wbqha`xNe2
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z<_2cCrO{{_q6KKcTZ<4If!4?p_)cw!^kFO-aIHB;-5s4r+<uN}_KyNF-BZlgfo~vR
zgO^H1s2gIh0L)NVj5-K{&LoQhV(-#NivV86w$V*69m5lr<1ew9*q1P7Vlyln&YK$b
zixgpbtbk@sML?r=QJ@(4%aK3%g*T{~V!`t@Gc^`gYyn;%wzY)d?Xf0&DKP_&CKh;a
zAUY=ON)E;`W3CVHprN1ZFkl2DQxmKP02R}d>V~&c(A!1bsMGU}L>}`K#;M+81?5dR
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zUvUmU&@+5G<N0A9&?*BvU&<H(`|#I{#~=jLGo8?ZdooR;eNJS?KqubFjPv?P%#Osc
ztY>07gw?OD=l1!I%0`P9kDzsO2=)^kBsh#cGXlIm7G|uvFDnvq_mNjiAQ)<{+z~%Z
z5SJ8+$eSUc-*euwMmv9t#ybgO2qeST$?Cw6>}i73i$ww9?u8KXelOzGz~9E#vL`^i
z+MPWQ#G#TVnMZ#j!j=%X?f6kz)O|NxIw^dVJmRn#XLX~awywrutLC55+;{>D!Dj@Y
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zBtb8>l|)3e3-d>+tx*`FvO1lY&ZPIzd+9uMCf+U@YdNl(T$XZ%9--dt*NS(McoFe|
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zIw+ntc)~hd^>{-n^@l8!#b?O&KSc4v1ah@5vX01PQFS+AVZl>Tat*5U-IB<ihLX@$
z^<qIFEVy4nT=ulPgof^E+TNugvR)*R1(Mm1r=fdO*A=;%+H5*TVOj0tWTg>&L2yEz
z=cF*Vsi%u(L(BdA#Ou48ragr8Xu6~+d6m=fO9GjxQ)CUPLJEkc!1m&3DMWLG%;ahE
zyAkgpUoR2&?iJ>KhUSuIV_aQFA=w~*s=_EzS2-KF9fS(CLWO#rc|eCD{EX1y#iTx3
zNg<FeKG<)6p+9zxp<(*Uza>C#;(w9h*VDVraz}Rs5|wiT*5!q1`FUYnVt94N%@(Of
ze;3Qa9EkG`Tr;c58f=dTP^8{XO#L1Wypl^<UZBO~tHUKtQ7~I+a1>?y8l^N)7<6gr
z#6_itaENAP`!Z}T<^O_k*)4`;vljnD<uVML{p3R^SF7%v9q`{&t~V)H?}0r<;YMZz
zUkzh{Ob<=LGwqAj+ePvJGd;`uG!ny0EU3&$dvHmUSkL}J(tZPy4(5HhYtC6Cea&&Y
zgSot5`*7{txRfL@)`?!F&n(xc7Im!nGbLULQo@t~B~i&%vXmqxUwEuaowDS2yaf7>

delta 3179
zcmdT`YfMyE5Z<|$-MuWY-3trL8?COcf~z8+Jc?ShN)&ujf>c;wi%VQ~y}LexL91zu
zt!<M@sy3u*O>9Lh;<dG?R9dxKT57FSbW;=k)i#aV#~=NpJ#$uz659Cq(`J)z=ggUz
zGiPSLdvAXy+~@>DW<-RcpucoU(Y6jlXvm~e`!bK)X<zMVT<h@IixiKy#<Rv=zs#$6
z8Zx|VGqdfro;qihZ>8JqP+aRAewU|Ftq#c*^^yz*F;Z0b=wB9K8r};HKnVs6RWMb}
z4O<FOrtS=11W=7PBfPL!t%|G!Sb-;^F2H(x)93=PdfR9aU@MBzS7EbyJ-QcQFSeUk
z!6wxjYZahFoone4;0#(4x4<EFPoiFc-*B!aPVG*v6oe4Kl(e;QOWlzcDhL^XC6-w1
zPL5R14xdR0MUHHOboKR-Mgi*7mQh^*tJMmd46s#okC_9o9gmG&2ep`$z5&`WZi1`E
zZ>keE0ciZDCTNgJqJQNLzo8+TN#Z7G(p1Ix^$ljWisGv%(lc#r6Ya&-X%=d1Vu=lu
zVvR<#F4E)mk6Y&ORXP0r#@sZU1*<X^>jPS^;%fBck&NP$1EA6PQkbm<B=*y>pFxO(
zB#31z16s!2f-ZEAiBnVUI)EOuj`x^a$w$XrBnX$K2<2UDPmIUv^i1`S@$7mnxGtj*
zize12Unaw(A%p8gJT>uW*oAGGZ^hjpJDJ<*zz9acsFlE?#RZdoHST6=We>so1bgwG
z-5Mnb4;%y|8v=YatIFKMw)-E-%q*Fe7M@vD_G#FMec3b2A5e%73HB4T5~N^rc)TDB
zI6G$>?8p9`dLcnjr%v7p3EX@v8BHK)Cg9%f_~(>#W}KFLca)8Cv9c{qII9QyNup7d
z*)<Fh39=9l7JVcbOgJNNeb}cIA$T<Q=EZ}GKjl3SPPFE)gjQ_HPk`fiG=Bsf!yogl
z+Ae0@i28zxk(6ja?^T?2u3EoMtE5t#=>*3KJ|pPH>qXJpQ%v-!?-is03x4u>vz;F~
zhYa!<1VU=o`kl%FTDK95AmABoC#e<1!nrJo`GwI*yGij-<=K)Z$64o74&sKw$*@Z8
zEUck(lBOj$o@U#&IOWmflrt3LA5Y_@T}pBFKF=$Dw_^=&Ng&L<a=G8t=yAIo%at!F
z#ApH=!C8WHXezhh$!Vrws-t(4^3hazd01SB+q>M!GA4^244-b*US#6im@~aLwVjka
z<06u%-U<~^=_R;`ru5X*eM~e_i;YZR4VI)RDc=xk&`P3|pzPxVW_;oFls<By84l>3
zjr7P;9-c9#f6%rc$Z*j3!9g5Vv~@h!(m4t{Fxaqx;@LuiZGVTh_;o(w9j8ki!8=9g
z%{+1hZS$J(rXR+uGxDHQji1>B&4<{YO;#3>2{#@z+q@qAw9C)mM$$m#J7~#+((^)@
zM8GpHA?Yv!n=zQ;R8pt}M+iP9*sRfD%&gL|PiS$JAe*O8<v)e5&DxdA8!=FrPPSo_
z1_wMwo_y$cki<D~f(N1&Uc=S1eOa8=)J$9GkW4vAp4|jI+UF#F!DEoqFPKwYK8(kp
zS$NPke$r5EyQ!Wlj)8i9T|I?j&mfJ$>0o{`I`A_$k~i-kZ_YsZ{~mlB8~TkE$q8SP
zB_D(yl5z;XCisTmrI(4nt0(4^LGz=zv6sWQWX4l`TE;5pDFn~>JCcTEDQ&RfKufs^
zJrzXOjTOTaE|7Xq-rtk%BIT_kdP*XOmR64#n8$x7skV>#v|&eSBJ|xSWIfKESDAH%
z!V)Qi<32E4G{Fx#I}{;>=R~|SZ_86LQb%cz5wT}}Z^Dq2q<k)6$AVNHam_B`r3JTT
z&dsP`p22(LwS~zGAA@v;K^zH)KBYFuyvuYHe_#xv-7qTX6p=mFVwezo_p`SYBniU>
z`VI&W!Oe@5XQZT#C|NAx?8Pgdk&_EiU-r@yaI#$8UKah|<D`x_xkSXSIU_(+50%^h
zht%{DHAmy!ik!!$=P;t-a2htEA{#Efq?HVk>Hb^PqFlk9OZtrT0jJRGRv|hw<@!o%
s_C)Ss;2&1}<BET#vJn;JOxY|a%F%L$TqqaFIr584%9WcnN%E?{0FZ3$%m4rY

diff --git a/lib/model/__pycache__/Generator.cpython-36.pyc b/lib/model/__pycache__/Generator.cpython-36.pyc
index e3b3f1a10cfa708e692364b947ca5e034df268cb..6c7800f447069ef648baf56f89f5fc098211ff81 100644
GIT binary patch
delta 86
zcmbO%zDAtGn3tE!d!K0BMve?d<7EAe{M=Oi!pzdj(!{*vjMO}R|GZR}qRg^X{eZ-R
q)FOT7{FKz-(p>$b)U?#1)V$=>$rBlc+2adJlX5bXH!op)&j|q6s~%1O

delta 75
zcmZ1@K3SZ@n3tF9Pvh07jT{+_CSLj(`MIh3<%xNfiTV02Mfn9u`4#%<83jf8S-J(4
f#%B7-`6;RK#ihBqiA9-Ji6xo&d7Jk#zUKr0?YtZr

diff --git a/lib/model/__pycache__/GlobalAttention.cpython-36.pyc b/lib/model/__pycache__/GlobalAttention.cpython-36.pyc
index 0c895e94b38c6c5dae3b3c6434936d9a0c6df82f..5fd29ba038bc6810e76294a94a8fb839264ce843 100644
GIT binary patch
delta 110
zcmdnVeTkdPn3tE!d!K0B5|)iz8yI~v^)vEwQ}qioODjtg^O7@C^Ys1mQeBEN%To0N
z5(`p`^quolQiDr#^@~!|Qj1dal2i4Qfg<t6rMbC@MVVEJC7Jno@dc$xIho0u-!YzI
NVrCLzoV=Um9{_6JD475N

delta 85
zcmcb_y_1{En3tF9Z{yXdcGitt8yHOj^fU5vQ}xRe^C}bb^<9ec3zG6H^wTp6it@8`
p3o4Dx^po>bQsawDb8{1mGOH3xGV}8`vooDyVrCa&oqUDm9{?hw9@PK<

diff --git a/lib/model/__pycache__/HybridAttention.cpython-36.pyc b/lib/model/__pycache__/HybridAttention.cpython-36.pyc
index d0f1a7ea78cd2e503fc2e5bee2382286f372d2af..86e148a416b11ffe898f6a38b06c08156f0d8a99 100644
GIT binary patch
delta 100
zcmZ3+x1W#0n3tE!d!K0BMvmi*zM1+N`MIh3g_)(5rHOgT8L4^t{&}e`MVV!(`T>ar
zsYUwE`6;QvrMdb=scET2sd>q%`pH0%_~O#s+{B{Hs>G7a{Ji*r(xjZs<ju@X%B%q9
CnIrB1

delta 75
zcmdnbw~UX&n3tF9Z{yXdjU2}rO#<{Y@^e%5%M<e|6Z7?5it-DR@+<VyGYX3Gvvdn8
fjm`9v^HWmei%WBJ6N@sd5=%1k^ES&cDYF6q2V@%~

diff --git a/lib/model/__pycache__/__init__.cpython-36.pyc b/lib/model/__pycache__/__init__.cpython-36.pyc
index 6e3482f2fdb5241fa6612c0e5b95b78f7f989de0..9cf7d2dc4e1ce93bcd56b98297eb87244ae26426 100644
GIT binary patch
delta 97
zcmZo;n$N^x%*)H=y-zf5BFAjsB>jy1+*JL-%+kuz#JuE;)I5Fvyi}K>%(7JdfW(5-
zB7Null+@tTT>YZdwA7;1yyR5<WS~fVacORDVo_#QVo7FxUVK4mQch;_#OwM1Us5Ca

delta 72
zcmbQw)W*bN%*)HQZrhKji5#;{JoPj3b5r%p6Z0w)^YvYd@(YskEA-Pd3X1ZxbPFnt
c&GeJ=Q&QuLOLKD*i!!ScOEUBGCVtQd0HXUFHvj+t

diff --git a/lib/train/Optim.pyc b/lib/train/Optim.pyc
index f9a59c7547e7fe24717fd191e973413a7691272e..a8a707c7ee9c19308e401b29ed6eff0ecca6b4ff 100644
GIT binary patch
delta 630
zcmX>m{8fa5`7<w<_de0MjU0_k0r3nB4Eh=QxvBbvnWdGbiFwHxsd@VTd8sZ%nPsW^
z0f_~vMf%S9DXGDwx%x$^X{kl2dC95z$v~0#;?msQ#G=fq#FEVXy!e9Bq@2v;%?Fr*
y8L4jS<O571o8wqoX<)Jx+cugwcd|756WSQ;#ZgXugMV;jQQuHttW93aDG31SV(F9s

delta 338
zcmew=a!i<m`7<xq-^Qy^8#x-8RNNRC81yspb5r%p6Z0w)^YvYd@(YskEA-Pd3X1Zx
zbPFnt%_ax33va&36wFAx>Kc}r#H*g1%C?PYqbFyx{~%uRW{z&+758yw5wEz0MPhOS
GmnZ-|F>t^D

diff --git a/lib/train/ReinforceTrainer.pyc b/lib/train/ReinforceTrainer.pyc
index ca7c0aef0e39251d6a236a8984bd959203511582..dcb579c06b389fa85efb5f5b9e69ba7db51e7bdb 100644
GIT binary patch
delta 396
zcmX?UaLkZ{`7<w<_de0MjU0B&W?2jj4Eh=QxvBbvnWdGbiFwHxsd@VTd8sZ%nPsW^
z0f_~vMf%S9DXGDwx%x$^X{kl2dC94h4Y`Eb;|ofYax#-Q*D_CFqk=h;YnkOYCvzom
gQ^zd1$r57xjEs{t#BNc`z;N+$>KLUwSwlh*0F^<8;Q#;t

delta 355
zcmX?Rc+!A_`7<xq%<KNq8#(Nl%>x-281yspb5r%p6Z0w)^YvYd@(YskEA-Pd3X1Zx
zbPFnt&GeJ=Q&QuLOLKD*i!!ScOEUBGCeIa@o4i1Rb@NW<TsBG!**t|Sk(&Yo<oVTr
cK8OY4;%PvFL1=QZ*ewdon@WLRP>84j0M>7ODF6Tf

diff --git a/lib/train/Trainer.pyc b/lib/train/Trainer.pyc
index 5743c9802b5b820cbe1b22ae682749f73be1b12c..efe4e9dd8e1f39c91780d64d4dfcad97d21d6f6b 100644
GIT binary patch
delta 424
zcmZor_^ZId{F#@_d!K0BMh;abvqT042K|iu+*JL-%+kuz#JuE;)I5Fvyi}K>%(7Jd
zfW(5-B7Null+@tTT>YZdwA7;1yyVo$flR{e@dc$xIho0uQ<y4Ps9}yU`#m-)m@`>}
zPeqrJmyrhyB^YIZY+gnoMlMEOFsTV9wHP&-co<a}C4s!jm3%qWuvmt_gc`;i=eGm^
D9ead<

delta 385
zcmeyX(4fG<{F#@_K>b_PMh;aba}Ndv2K|iu+*JMY#JtMHe0`Uq{DP$X3jOqqf};E^
z-GWMEGyUZJl+^g*(%js{qRgtqlFa<P$qoFXn<p_PvruF}6#Gdw3JegN+{wqM%frjW
z!w7`T5{xp8yllLTLX2FDx?oZhOlmP|vhXmfFiJ8CF;70imqUS#B^2ltog68k0ss?p
BdME$@

diff --git a/lib/train/__init__.pyc b/lib/train/__init__.pyc
index e59dd4f6eea0a14520027dc64ef4ba9d0d15f3fc..7fed7fc52f3b0155fe5ab6dc76292eacd3ba2557 100644
GIT binary patch
delta 100
zcmey%IE{&e`7<w<_de0Mi5z_aNem1O`WgATsrrSPrIn?LdC3{6dHVi&sV+sCWvTiB
zi3O=e`p)?&sllbW`bDW}sYR)I$*KCuK#}<3(%js{qRgtqlFa<P_=3`;oXq5jXAJ<?
C?Ij5S

delta 75
zcmbQn^p}x?`7<xq-^Qy^6FK_KJsB7n^fU5vQ}xRe^C}bb^<9ec3zG6H^wTp6it@8`
f3o4Dx^po>bQsawDb8{1mGOH3xGV}8$J~IFS0CyZd

diff --git a/lib/train/__pycache__/Optim.cpython-36.pyc b/lib/train/__pycache__/Optim.cpython-36.pyc
index c66bc1b0bea4c3e57e4885a60ecf2f919d9b0ca2..71769b14921175be982ed8b8ca2c4a6eeaf38602 100644
GIT binary patch
delta 100
zcmbQmx0#Q_n3tE!d!K0BMvkwHzVZ4Q`MIh3g_)(5rHOgT8L4^t{&}e`MVV!(`T>ar
zsYUwE`6;QvrMdb=scET2sd>q%`pH0%_~O#s+{B{Hs>G7a{Ji*r(xjZs<jsamFIfQV
CrX=kE

delta 75
zcmdnYH;a$Mn3tF9Z{yXdjT~PYP2BV|@^e%5%M<e|6Z7?5it-DR@+<VyGYX3Gvvdn8
fjm`9v^HWmei%WBJ6N@sd5=%1k^EP`iy<`CZ3q>3v

diff --git a/lib/train/__pycache__/ReinforceTrainer.cpython-36.pyc b/lib/train/__pycache__/ReinforceTrainer.cpython-36.pyc
index 1a657024119ebe5cc2441ff14eca6dbbbcc0e614..01286675b5b9a75004e85a5afc930a11459230f9 100644
GIT binary patch
delta 109
zcmeBHTcXBg%*)H=y-zgGQgI{KbSB>{{fzwFRQ<xt(#q1ryyT43JbnMXRF|U6vQ+(m
z#Ddf!edqj?)Zo%w{i4*g)S}e9<W&7+ph$diX>M*}QD#+QNoIatd_ieaPG<7vt4s^{
M7#TO02~K4M01ZzkLI3~&

delta 84
zcmZ3Y)~&{6%*)F)^SXbufXYU$=}abp`WgATsru!Kd6kLz`YuKJ1xfi8`so=3Mfq8}
o1(n8T`pNkzsqw|7xw(l&nN^7;nfZB}-!U!VV-(ulFF2JE0J@eP=l}o!

diff --git a/lib/train/__pycache__/Trainer.cpython-36.pyc b/lib/train/__pycache__/Trainer.cpython-36.pyc
index 4cc896ddd05bc7f464227b5770defcf7bb5c997e..381d685155b19a5922a515e0c89c4ee337d8e1a7 100644
GIT binary patch
delta 153
zcmaDW(I&}d%*)H=y-zf5iNHp#?To&O`WgATsrrSPrIn?LdC3{6dHVi&sV+sCWvTiB
zi3O=e`p)?&sllbW`bDW}sYR)I$*KCuK#}<3(%js{qRgtqlFa<P_=3`;oXq6SUm0CE
sbs4!BIlxeWQ3A;3V&nnxl)$7MBOj2hz$nAS#VErl1mtZ_<7Q_B0P-3rmH+?%

delta 112
zcmZpZd@I3a%*)GVp#ClDugFHO?TjWK`WgATsru!Kd6kLz`YuKJ1xfi8`so=3Mfq8}
z1(n8T`pNkzsqw|7xw(l&nN^7;nfZB}`IuZd`FXgQI2eJDS%6W3k&A6|BDW|f3m2md
OqYxt>^X7VPc18gE@E(K!

diff --git a/lib/train/__pycache__/__init__.cpython-36.pyc b/lib/train/__pycache__/__init__.cpython-36.pyc
index bdcc61f377b2b13f2798766878d611f8d3dab8e2..2a589687196dafcc26d1939287a2e92a152447fa 100644
GIT binary patch
delta 82
zcmaFJ_=}Oln3tE!d!K0BM2-sMB>jy1+*JL-%+kuz#JuE;)I5Fvyi}K>%(7JdfW(5-
mB7Null+@tTT>YZdwA7;1yyVo03x(O^3rdr6GLt86(FFjU-W}Tj

delta 72
zcmeyx_>hsqn3tF9Z{yXdi5wLsp86U2xvBc)iFuWY`T8zJ`2|V&75eEJ1x5K;x&@WS
cX8OtbDXH<rrMbC@MVVEJC7Jno6VK`b0LvO1ng9R*

diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000..37501fe
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,4 @@
+asttokens
+Constants
+numpy
+pandas
\ No newline at end of file
diff --git a/run.py b/run.py
index 9b1aa8c..4d4f0d7 100644
--- a/run.py
+++ b/run.py
@@ -2,30 +2,60 @@
 import subprocess
 import os.path
 import sys
+import argparse
 
 hostname = 'ccnt-ubuntu'
 
+parser = argparse.ArgumentParser(description='python_process.py')
+parser.add_argument('para1', type=str, help='display an para1')
+parser.add_argument('para2', type=str, help='display an para2')
+parser.add_argument('para3', type=str, help='display an para3')
+parser.add_argument('para4', type=str, help='display an para4')
+parser.add_argument('para5', type=str, help='display an para5')
+parser.add_argument('para6', type=str, help='display an para6')
+parser.add_argument('para7', type=str, help='display an para7')
+parser.add_argument('--data_dir', type=str, default='dataset/')
+parser.add_argument('--log_path', type=str, default='log.preprocess')
+opt = parser.parse_args()
+
+data_dir = opt.data_dir
+
 if hostname == 'ccnt-ubuntu':
     print(hostname)
     def preprocess():
-        log = '/media/BACKUP/log/code_summarization/log.preprocess'
+        log = opt.log_path
+        # log = '/media/BACKUP/log/code_summarization/log.preprocess'
         if os.path.exists(log):
             os.system("rm -rf %s" % log)
 
+        # run = 'python preprocess.py ' \
+            #   '-data_name github-python ' \
+            #   '-train_src /media/BACKUP/ghproj_d/code_summarization/github-python/train/train0.60.20.2.code ' \
+            #   '-train_tgt /media/BACKUP/ghproj_d/code_summarization/github-python/train/train0.60.20.2.comment ' \
+            #   '-train_xe_src /media/BACKUP/ghproj_d/code_summarization/github-python/train/train0.60.20.2.code ' \
+            #   '-train_xe_tgt /media/BACKUP/ghproj_d/code_summarization/github-python/train/train0.60.20.2.comment ' \
+            #   '-train_pg_src /media/BACKUP/ghproj_d/code_summarization/github-python/train/train0.60.20.2.code ' \
+            #   '-train_pg_tgt /media/BACKUP/ghproj_d/code_summarization/github-python/train/train0.60.20.2.comment ' \
+            #   '-valid_src /media/BACKUP/ghproj_d/code_summarization/github-python/train/dev0.60.20.2.code ' \
+            #   '-valid_tgt /media/BACKUP/ghproj_d/code_summarization/github-python/train/dev0.60.20.2.comment ' \
+            #   '-test_src /media/BACKUP/ghproj_d/code_summarization/github-python/train/test0.60.20.2.code ' \
+            #   '-test_tgt /media/BACKUP/ghproj_d/code_summarization/github-python/train/test0.60.20.2.comment ' \
+            #   '-save_data /media/BACKUP/ghproj_d/code_summarization/github-python/train/processed_all ' \
+            #   '> /media/BACKUP/log/code_summarization/log.preprocess'
         run = 'python preprocess.py ' \
               '-data_name github-python ' \
-              '-train_src /media/BACKUP/ghproj_d/code_summarization/github-python/train/train0.60.20.2.code ' \
-              '-train_tgt /media/BACKUP/ghproj_d/code_summarization/github-python/train/train0.60.20.2.comment ' \
-              '-train_xe_src /media/BACKUP/ghproj_d/code_summarization/github-python/train/train0.60.20.2.code ' \
-              '-train_xe_tgt /media/BACKUP/ghproj_d/code_summarization/github-python/train/train0.60.20.2.comment ' \
-              '-train_pg_src /media/BACKUP/ghproj_d/code_summarization/github-python/train/train0.60.20.2.code ' \
-              '-train_pg_tgt /media/BACKUP/ghproj_d/code_summarization/github-python/train/train0.60.20.2.comment ' \
-              '-valid_src /media/BACKUP/ghproj_d/code_summarization/github-python/train/dev0.60.20.2.code ' \
-              '-valid_tgt /media/BACKUP/ghproj_d/code_summarization/github-python/train/dev0.60.20.2.comment ' \
-              '-test_src /media/BACKUP/ghproj_d/code_summarization/github-python/train/test0.60.20.2.code ' \
-              '-test_tgt /media/BACKUP/ghproj_d/code_summarization/github-python/train/test0.60.20.2.comment ' \
-              '-save_data /media/BACKUP/ghproj_d/code_summarization/github-python/train/processed_all ' \
-              '> /media/BACKUP/log/code_summarization/log.preprocess'
+              '-train_src ' + data_dir + '/train/train0.60.20.2.code ' \
+              '-train_tgt ' + data_dir + '/train/train0.60.20.2.comment ' \
+              '-train_xe_src ' + data_dir + '/train/train0.60.20.2.code ' \
+              '-train_xe_tgt ' + data_dir + '/train/train0.60.20.2.comment ' \
+              '-train_pg_src ' + data_dir + '/train/train0.60.20.2.code ' \
+              '-train_pg_tgt ' + data_dir + '/train/train0.60.20.2.comment ' \
+              '-valid_src ' + data_dir + '/train/dev0.60.20.2.code ' \
+              '-valid_tgt ' + data_dir + '/train/dev0.60.20.2.comment ' \
+              '-test_src ' + data_dir + '/train/test0.60.20.2.code ' \
+              '-test_tgt ' + data_dir + '/train/test0.60.20.2.comment ' \
+              '-save_data ' + data_dir + '/train/processed_all ' \
+              '> ' + log
         print(run)
         a = os.system(run)
         if a == 0:
@@ -36,16 +66,16 @@ def preprocess():
 
     def train_a2c(start_reinforce, end_epoch, critic_pretrain_epochs, data_type, has_attn, gpus):
         run = 'python a2c-train.py ' \
-              '-data /media/BACKUP/ghproj_d/code_summarization/github-python/train/processed_all.train.pt ' \
-              '-save_dir /media/BACKUP/ghproj_d/code_summarization/github-python/result/ ' \
-              '-embedding_w2v /media/BACKUP/ghproj_d/code_summarization/github-python/train/ ' \
+              '-data ' + data_dir + 'train/processed_all.train.pt ' \
+              '-save_dir ' + data_dir + 'result/ ' \
+              '-embedding_w2v ' + data_dir + 'train/ ' \
               '-start_reinforce %s ' \
               '-end_epoch %s ' \
               '-critic_pretrain_epochs %s ' \
               '-data_type %s ' \
               '-has_attn %s ' \
               '-gpus %s ' \
-              '> /home/wanyao/log/code_summarization/log.a2c-train_%s_%s_%s_%s_%s_g%s.test' \
+              '> /home/qiuyuanchen/OneDrive/Paper/CodeSum/reference/code_summarization_public/log.a2c-train_%s_%s_%s_%s_%s_g%s.test' \
               % (start_reinforce, end_epoch, critic_pretrain_epochs, data_type, has_attn, gpus,
                  start_reinforce, end_epoch, critic_pretrain_epochs, data_type, has_attn, gpus)
         print(run)
@@ -55,17 +85,18 @@ def train_a2c(start_reinforce, end_epoch, critic_pretrain_epochs, data_type, has
         else:
             print("failed.")
             sys.exit()
-
+            
     def test_a2c(data_type, has_attn, gpus):
+        #   '-load_from ' + data_dir + 'result/model_rf_hybrid_1_29_reinforce.pt ' \
         run = 'python a2c-train.py ' \
-              '-data /media/BACKUP/ghproj_d/code_summarization/github-python/train/processed_all.train.pt ' \
-              '-load_from /media/BACKUP/ghproj_d/code_summarization/github-python/result/model_rf_hybrid_1_29_reinforce.pt ' \
-              '-embedding_w2v /media/BACKUP/ghproj_d/code_summarization/github-python/train/ ' \
+              '-data ' + data_dir + 'train/processed_all.train.pt ' \
+              '-load_from ' + data_dir + 'result/model_xent_hybrid_1_7.pt ' \
+              '-embedding_w2v ' + data_dir + 'train/ ' \
               '-eval -save_dir . ' \
               '-data_type %s ' \
               '-has_attn %s ' \
               '-gpus %s ' \
-              '> /home/wanyao/log/code_summarization/log.a2c-test_%s_%s_%s' \
+              '> /home/qiuyuanchen/OneDrive/Paper/CodeSum/reference/code_summarization_public/log.a2c-test_%s_%s_%s' \
               % (data_type, has_attn, gpus, data_type, has_attn, gpus)
         print(run)
         a = os.system(run)
diff --git a/script/github/java_process.py b/script/github/java_process.py
index 876ffb4..e628f2c 100644
--- a/script/github/java_process.py
+++ b/script/github/java_process.py
@@ -1,3 +1,4 @@
+# _*_ ecoding=utf8
 import subprocess
 import sys
 import fileinput
@@ -8,18 +9,28 @@
 import glob
 import os
 import argparse
+import pandas as pd
 
-data_dir = "/media/BACKUP/ghproj_d/code_summarization/github-java/"
-repos = ["apache-ant-1.8.4", "apache-maven-3.0.4",  "MinorThird", "apache-cassandra-1.2.0", "batik-1.7", "xalan-j-2.7.1", "apache-log4j-1.2.17", "lucene-3.6.2", "xerces-2.11.0"] #
-original_path = data_dir + "original/"
-processed_path = data_dir + "processed/"
-train_path = data_dir + "train/"
+# data_dir = "/media/BACKUP/ghproj_d/code_summarization/github-java/"
+
+# repos = ["apache-ant-1.8.4", "apache-maven-3.0.4",  "MinorThird", "apache-cassandra-1.2.0", "batik-1.7", "xalan-j-2.7.1", "apache-log4j-1.2.17", "lucene-3.6.2", "xerces-2.11.0"] #
+# repos = ["gradle"]
 
 parser = argparse.ArgumentParser(description='java_process.py')
+parser.add_argument('--data_dir', type=str, default='java-dataset/')
 parser.add_argument('-train_portion', type=float, default=0.6)
 parser.add_argument('-dev_portion', type=float, default=0.2)
 
 opt = parser.parse_args()
+data_dir = opt.data_dir
+# original_path = data_dir + "original/"
+# processed_path = data_dir + "processed/"
+# train_path = data_dir + "train/"
+original_path = os.path.join(data_dir, "original/")
+processed_path = os.path.join(data_dir, "processed/")
+train_path = os.path.join(data_dir, "train/")
+
+
 
 def get_file_list(repo):
     command = """ls -R %s|grep .java | awk '
@@ -39,10 +50,14 @@ def clean_comment(comment):
     #     else:
     #         cleaned_comment.append(c)
     # return ''.join(cleaned_comment)
+    comment = comment.replace("/*", "")
+    comment = comment.replace("*/", "")
+
     comment = comment.lower()
     for c in ['<p>', '</p>', '<code>', '</code>', '<i>', '</i>', '<b>', '</b>', '<br>', '</br>']:
         comment = comment.replace(c, '')
 
+
     comment = comment.replace("this's", 'this is')
     comment = comment.replace("that's", 'that is')
     comment = comment.replace("there's", 'there is')
@@ -51,19 +66,30 @@ def clean_comment(comment):
     comment = comment.replace('``', '')
     comment = comment.replace('`', '')
     comment = comment.replace('\'', '')
+    comment = comment.replace('->', '')
 
     removes = re.findall("(?<=[(])[^()]+[^()]+(?=[)])", comment)
     for r in removes:
         comment = comment.replace('('+r+')', '')
     # print "c: ", comment
     comment = comment.split('.')[0]
-    comment = comment.split('*')[0]
-    comment = comment.split('@')[0]
+    # comment = comment.split('*')[0]
+    # comment = comment.split('@')[0]
+    import string
+    for p in string.punctuation:
+        comment = comment.replace(p, ' ')
+    # comment = comment.replace('*', ' ')
+    # comment = comment.replace("@", ' ')
+    # comment = comment.replace("#", ' ')
+    # comment = comment.replace("}", ' ')
+    # comment = comment.replace("{", ' ')
+
     # print "comment: ", comment
     comment = comment.strip().strip('\n') + ' .'
+    comment = ' '.join(comment.split())
     return comment
 
-def generate_pairs(f_name, repo):
+def generate_pairs(f_name, repo=''):
     print(f_name)
 
     # file_lines = java_file.readlines()
@@ -78,6 +104,7 @@ def generate_pairs(f_name, repo):
 
     if len(comment_linenums) > 2:
         comment_linenums = comment_linenums[2:-1]
+    
 
     with open(processed_path + repo + '.code', 'a') as code_file:
         with open(processed_path + repo + '.comment', 'a') as comment_file:
@@ -93,6 +120,47 @@ def generate_pairs(f_name, repo):
                     code_file.write(code + '\n')
                     comment_file.write(comment + '\n')
 
+
+def generate_pairs_from_json(path):
+    # Data is from jdt parser
+    # 123,403 methods
+    train = pd.read_json(path, lines=True) 
+    data = train
+
+    all_comments = []
+    all_codes = []
+    all_method_name = []
+    for method_list in data['methods']:
+        comments = []
+        codes = []
+        for method in method_list:
+            # print(method)
+            all_method_name.append(method['method_name'])
+            comments.append(method['comment'])
+            codes.append(method['code'])
+        all_comments += comments
+        all_codes += codes
+    assert len(all_codes) == len(all_comments)
+
+    with open(processed_path + 'all.code', 'w') as code_file:
+        with open(processed_path + 'all.comment', 'w') as comment_file:
+            for code, comment in zip(all_codes, all_comments):
+                code = code.replace('\n', ' ')
+                comment = clean_comment(comment)
+                def ascii_issue(s):
+                    import string
+                    printable = set(string.printable)
+                    s = filter(lambda x: x in printable, s)
+                    return s
+                code = ascii_issue(code)
+                comment = ascii_issue(comment)
+                # code = str(code)
+                # comment = str(comment)
+                code_file.write(code + '\n')
+                comment_file.write(comment + '\n')
+    print("finished!")
+
+
 def split_dataset(train_portion, dev_portion):
     test_portion = 1 - train_portion - dev_portion
     with open(processed_path + "all.code", 'r') as all_file:
@@ -111,9 +179,9 @@ def split_dataset(train_portion, dev_portion):
 
     idx = 0
     with open(processed_path + "all.code", 'r') as all_file:
-        with open(train_path + "train%s%s%s.code" % (train_portion, dev_portion, test_portion), 'w') as train_file:
-            with open(train_path + "dev%s%s%s.code" % (train_portion, dev_portion, test_portion), 'w') as dev_file:
-                with open(train_path + "test%s%s%s.code" % (train_portion, dev_portion, test_portion), 'w') as test_file:
+        with open(train_path + "train%s%s%s.code" % (train_portion, dev_portion, test_portion), 'wb') as train_file:
+            with open(train_path + "dev%s%s%s.code" % (train_portion, dev_portion, test_portion), 'wb') as dev_file:
+                with open(train_path + "test%s%s%s.code" % (train_portion, dev_portion, test_portion), 'wb') as test_file:
                     for a_line in all_file.readlines():
                         if idx in train:
                             train_file.write(a_line)
@@ -153,23 +221,24 @@ def build_vocab(filepath, dst_path, lowercase=True):
     if os.listdir(processed_path):
         for f in os.listdir(processed_path):
             os.remove(processed_path + f)
-    for repo in repos:
-        print("repo:" , repo)
+    # for repo in repos:
+    #     print("repo:" , repo)
 
-        file_list = get_file_list(repo)
+    #     file_list = get_file_list(repo)
 
-        print("=========================")
-        print(file_list)
+    #     print("=========================")
+    #     print(file_list)
 
-        for f_name in file_list:
-            if f_name.endswith('.java'):
-                generate_pairs(f_name, repo)
+    #     for f_name in file_list:
+    #         if f_name.endswith('.java'):
+    #             generate_pairs(f_name, repo)
+    generate_pairs_from_json('/home/qiuyuanchen/OneDrive/Paper/CodeSum/data/interim/java-small-training.json')
 
     # concatenate multiple files into one file
-    command1 = "cat %s*code > %sall.code" % (processed_path, processed_path)
-    command2 = "cat %s*comment > %sall.comment" % (processed_path, processed_path)
-    subprocess.check_output([command1], shell=True)
-    subprocess.check_output([command2], shell=True)
+    # command1 = "cat %s*code > %sall.code" % (processed_path, processed_path)
+    # command2 = "cat %s*comment > %sall.comment" % (processed_path, processed_path)
+    # subprocess.check_output([command1], shell=True)
+    # subprocess.check_output([command2], shell=True)
 
     split_dataset(opt.train_portion, opt.dev_portion)
     # build_vocab(os.path.join(processed_path, 'all.code'), os.path.join(train_path, 'code_vocab.txt'))
diff --git a/script/github/python_process.py b/script/github/python_process.py
index 943892c..f4b3c51 100644
--- a/script/github/python_process.py
+++ b/script/github/python_process.py
@@ -8,16 +8,21 @@
 import glob
 import argparse
 
-data_dir = "/media/BACKUP/ghproj_d/code_summarization/github-python/"
-original_path = data_dir + "original/"
-processed_path = data_dir + "processed/"
-train_path = data_dir + "train/"
+# data_dir = "/media/BACKUP/ghproj_d/code_summarization/github-python/"
+
 parser = argparse.ArgumentParser(description='python_process.py')
 parser.add_argument('-train_portion', type=float, default=0.6)
 parser.add_argument('-dev_portion', type=float, default=0.2)
+parser.add_argument('--data_dir', type=str, default='dataset/')
 
 opt = parser.parse_args()
 
+data_dir = opt.data_dir
+original_path = data_dir + "original/"
+processed_path = data_dir + "processed/"
+train_path = data_dir + "train/"
+
+
 def clean_code(declbody):
     # declbody = declbody.replace(' DCNL DCSP', '\n')
     # declbody = declbody.replace(' DCNL ', '\n')
diff --git a/script/github/util.pyc b/script/github/util.pyc
index ff00dcb22c372d4807e64e1ce54da99cea80be88..d3f2faf8ab15b16e17e31f69b4b94826ad9ebd77 100644
GIT binary patch
delta 314
zcmX@axr>W~`7<w<_de0MjT}vkW=RYT4Eh=QxvBbvnWdGbiFwHxsd@VTd8sZ%nPsW^
z0f_~vMf%S9DXGDwx%x$^X{kl2dC94h8<~XJ;|ofYax#-APhgRre4VkII!1|aUd<#;
PC1;6G=4bJzj<bvaoP=!i

delta 250
zcmdnRb%>LL`7<xq9^RhFjT}vkMlK8t4Eh=QxvBc)iFuWY`T8zJ`2|V&75eEJ1x5K;
z`pNkzsqw|7xw(l&nN^7;nfZB>FEEKu{>a!*hStp&n2gA_GLyxh3@gE|m1mU(0IfY*
AC;$Ke

diff --git a/step0-start_environment.sh b/step0-start_environment.sh
new file mode 100644
index 0000000..d694ff5
--- /dev/null
+++ b/step0-start_environment.sh
@@ -0,0 +1,3 @@
+source activate py2-torch0.2
+pip install requirements.txt
+# conda install pytorch=0.2.0 cuda90 -c pytorch
\ No newline at end of file
diff --git a/step1-preprocess.sh b/step1-preprocess.sh
new file mode 100644
index 0000000..ed04070
--- /dev/null
+++ b/step1-preprocess.sh
@@ -0,0 +1,5 @@
+cd script/github
+DATA_DIR=/workspace/dataset/
+python2 python_process.py -train_portion 0.6 -dev_portion 0.2 \
+--data_dir $DATA_DIR \
+> log.python_process
\ No newline at end of file
diff --git a/step2-prepare_training.sh b/step2-prepare_training.sh
new file mode 100644
index 0000000..77e633f
--- /dev/null
+++ b/step2-prepare_training.sh
@@ -0,0 +1,3 @@
+python run.py preprocess -1 -1 -1 -1 -1 -1 \
+--data_dir /home/qiuyuanchen/OneDrive/Paper/CodeSum/reference/code_summarization_public/dataset/ \
+--log_path /home/qiuyuanchen/OneDrive/Paper/CodeSum/reference/code_summarization_public/log.prepare
\ No newline at end of file
diff --git a/step3-training.sh b/step3-training.sh
new file mode 100644
index 0000000..e573239
--- /dev/null
+++ b/step3-training.sh
@@ -0,0 +1,2 @@
+python run.py train_a2c 10 30 10 hybrid 1 3 --data_dir /home/qiuyuanchen/OneDrive/Paper/CodeSum/reference/code_summarization_public/dataset/
+# the last is gpu
\ No newline at end of file
diff --git a/step4-testing.sh b/step4-testing.sh
new file mode 100644
index 0000000..f6d1d16
--- /dev/null
+++ b/step4-testing.sh
@@ -0,0 +1 @@
+python run.py test_a2c hybrid 1 3 -1 -1 -1 --data_dir /home/qiuyuanchen/OneDrive/Paper/CodeSum/reference/code_summarization_public/dataset/
\ No newline at end of file

From 4091870b9ffb7f0e62dafbbcbaa1b7afd0a8a78a Mon Sep 17 00:00:00 2001
From: Qiuyuan Chen <380133194@qq.com>
Date: Sat, 18 Jul 2020 09:00:35 +0800
Subject: [PATCH 3/3] remove .pyc, __pycache__, and add .gitignore.

---
 .gitignore                                    | 143 +++++++++++++++++-
 evaluation/__init__.pyc                       | Bin 191 -> 0 bytes
 evaluation/bleu/__init__.pyc                  | Bin 197 -> 0 bytes
 evaluation/bleu/bleu.pyc                      | Bin 1543 -> 0 bytes
 evaluation/cider/__init__.pyc                 | Bin 198 -> 0 bytes
 evaluation/cider/cider.pyc                    | Bin 2007 -> 0 bytes
 evaluation/cider/cider_scorer.pyc             | Bin 8483 -> 0 bytes
 evaluation/meteor/__init__.pyc                | Bin 199 -> 0 bytes
 evaluation/meteor/meteor.pyc                  | Bin 3465 -> 0 bytes
 evaluation/rouge/__init__.pyc                 | Bin 200 -> 0 bytes
 evaluation/rouge/rouge.pyc                    | Bin 4165 -> 0 bytes
 lib/__init__.pyc                              | Bin 302 -> 0 bytes
 lib/__pycache__/__init__.cpython-36.pyc       | Bin 264 -> 0 bytes
 lib/data/Constants.pyc                        | Bin 425 -> 0 bytes
 lib/data/Dataset.pyc                          | Bin 3594 -> 0 bytes
 lib/data/Dict.pyc                             | Bin 5429 -> 0 bytes
 lib/data/Tree.pyc                             | Bin 11361 -> 0 bytes
 lib/data/__init__.pyc                         | Bin 301 -> 0 bytes
 lib/data/__pycache__/Constants.cpython-36.pyc | Bin 358 -> 0 bytes
 lib/data/__pycache__/Dataset.cpython-36.pyc   | Bin 2680 -> 0 bytes
 lib/data/__pycache__/Dict.cpython-36.pyc      | Bin 4100 -> 0 bytes
 lib/data/__pycache__/Tree.cpython-36.pyc      | Bin 8603 -> 0 bytes
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 lib/model/__pycache__/__init__.cpython-36.pyc | Bin 287 -> 0 bytes
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 script/github/utils/grammar.pyc               | Bin 3283 -> 0 bytes
 64 files changed, 140 insertions(+), 3 deletions(-)
 delete mode 100644 evaluation/__init__.pyc
 delete mode 100644 evaluation/bleu/__init__.pyc
 delete mode 100644 evaluation/bleu/bleu.pyc
 delete mode 100644 evaluation/cider/__init__.pyc
 delete mode 100644 evaluation/cider/cider.pyc
 delete mode 100644 evaluation/cider/cider_scorer.pyc
 delete mode 100644 evaluation/meteor/__init__.pyc
 delete mode 100644 evaluation/meteor/meteor.pyc
 delete mode 100644 evaluation/rouge/__init__.pyc
 delete mode 100644 evaluation/rouge/rouge.pyc
 delete mode 100644 lib/__init__.pyc
 delete mode 100644 lib/__pycache__/__init__.cpython-36.pyc
 delete mode 100644 lib/data/Constants.pyc
 delete mode 100644 lib/data/Dataset.pyc
 delete mode 100644 lib/data/Dict.pyc
 delete mode 100644 lib/data/Tree.pyc
 delete mode 100644 lib/data/__init__.pyc
 delete mode 100644 lib/data/__pycache__/Constants.cpython-36.pyc
 delete mode 100644 lib/data/__pycache__/Dataset.cpython-36.pyc
 delete mode 100644 lib/data/__pycache__/Dict.cpython-36.pyc
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 delete mode 100644 lib/data/__pycache__/__init__.cpython-36.pyc
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 delete mode 100644 lib/eval/__init__.pyc
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 delete mode 100644 lib/eval/__pycache__/__init__.cpython-36.pyc
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 delete mode 100644 lib/metric/Loss.pyc
 delete mode 100644 lib/metric/PertFunction.pyc
 delete mode 100644 lib/metric/Reward.pyc
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 delete mode 100644 lib/metric/__pycache__/Loss.cpython-36.pyc
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 delete mode 100644 lib/metric/__pycache__/Reward.cpython-36.pyc
 delete mode 100644 lib/metric/__pycache__/__init__.cpython-36.pyc
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 delete mode 100644 lib/model/Generator.pyc
 delete mode 100644 lib/model/GlobalAttention.pyc
 delete mode 100644 lib/model/HybridAttention.pyc
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 delete mode 100644 lib/parser/JavaLexer.pyc
 delete mode 100644 lib/parser/JavaListener.pyc
 delete mode 100644 lib/parser/JavaParser.pyc
 delete mode 100644 lib/parser/__init__.pyc
 delete mode 100644 lib/train/Optim.pyc
 delete mode 100644 lib/train/ReinforceTrainer.pyc
 delete mode 100644 lib/train/Trainer.pyc
 delete mode 100644 lib/train/__init__.pyc
 delete mode 100644 lib/train/__pycache__/Optim.cpython-36.pyc
 delete mode 100644 lib/train/__pycache__/ReinforceTrainer.cpython-36.pyc
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 delete mode 100644 script/github/getComments.pyc
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diff --git a/.gitignore b/.gitignore
index aed4b72..3628a3e 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,7 +1,144 @@
-dataset/*
 .vscode/*
 log*
-*.pyc
 log.preprocess
 java-dataset/*
-.dockerignore
\ No newline at end of file
+.dockerignore
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+# lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
\ No newline at end of file
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diff --git a/lib/parser/JavaListener.pyc b/lib/parser/JavaListener.pyc
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diff --git a/lib/parser/JavaParser.pyc b/lib/parser/JavaParser.pyc
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