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1226
Commits
| Author | SHA1 | Date | |
|---|---|---|---|
 William Fu-Hinthorn
|
b3d1bcdd1b | ||
|
Vadym Barda
|
b8a54f6294 | ||
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Brace Sproul
|
f2913fbcb6 | ||
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bracesproul
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8045e89e09 | ||
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Brace Sproul
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8355a1720a | ||
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bracesproul
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c302724394 | ||
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bracesproul
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c624ff69e1 | ||
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Vadym Barda
|
10d46acc60 | ||
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Vadym Barda
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35c3ba0104 | ||
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Hongbin Mao
|
0e2cd9e289 | ||
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William FH
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f4bd02da72 | ||
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William FH
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ecfbfa1b90 | ||
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William FH
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e5b5f9510b | ||
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Andrew Nguonly
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c6d7c80a99 | ||
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William FH
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909190cede | ||
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William FH
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43c8578eef | ||
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William Fu-Hinthorn
|
56f5edb9ba | ||
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William FH
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41f0fd504e | ||
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William FH
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6357d496af | ||
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William Fu-Hinthorn
|
52bd5b13a7 | ||
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Andrew Nguonly
|
b633e0a4ed | ||
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dependabot[bot]
|
c14bcb6e9f | ||
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Vadym Barda
|
8b29dc81e0 | ||
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Vadym Barda
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1546eddfbe | ||
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Vadym Barda
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9680e35beb | ||
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Andrew Nguonly
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837f215857 | ||
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Vadym Barda
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e13261ac0a | ||
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Bagaturandvbarda
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8ab206043c | ||
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Bagatur
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3dbe37041a | ||
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e00284b386 | ||
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merdan
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a36d2ac77d | ||
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tomo-abe
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2a46534286 | ||
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VItto Rivabella
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4b06791b8c | ||
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dependabot[bot]
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661e20eec4 | ||
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William FH
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a486eb5e75 | ||
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William Fu-Hinthorn
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e9d62944d3 | ||
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William FH
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cbd09abe58 | ||
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William FH
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4798443e31 | ||
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William FH
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ce900864fa | ||
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Ramón Vargas
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577f95bd50 | ||
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William FH
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59a11c63b0 | ||
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Andrew Nguonly
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08098688d4 | ||
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Ramón Vargas
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687ee02509 | ||
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William Fu-Hinthorn
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451bc038b6 | ||
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Nuno Campos
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c865e8c070 | ||
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Nuno Campos
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d74ec2c2de | ||
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Nuno Campos
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f70bfc6d87 | ||
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David Duong
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c86f0af107 | ||
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William Fu-Hinthorn
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c6ee807de5 | ||
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Johannes Mario Meissner
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7256752f48 | ||
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Nuno Campos
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dac84951aa | ||
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Nuno Campos
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3aaa3e38a0 | ||
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Nuno Campos
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400d83708a | ||
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Nuno Campos
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1d9c7ef461 | ||
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Nuno Campos
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01e5ecedfd | ||
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Nuno Campos
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76199701b0 | ||
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jacoblee93
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2766fccb5b | ||
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jacoblee93
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jacoblee93
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c5023ba147 | ||
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jacoblee93
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9a9fe2fdec | ||
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Andrew Nguonly
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effddca494 | ||
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Harrison Chase
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2ab59840e7 | ||
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Eugene Yurtsev
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0fb65f6e67 | ||
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Eugene Yurtsev
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0ecd23eec6 | ||
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Eugene Yurtsev
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e137dabf22 | ||
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Eugene Yurtsev
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fdc1e47aa1 | ||
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Eugene Yurtsev
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866780b477 | ||
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Eugene Yurtsev
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18d3fa2e15 | ||
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Eugene Yurtsev
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4b0c53fb5c | ||
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Eugene Yurtsev
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5183484322 | ||
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Eugene Yurtsev
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8213e4719b | ||
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Eugene Yurtsev
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f993dfcfcb | ||
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Eugene Yurtsev
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9e31b82d8d | ||
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Vadym Barda
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a3c5b8fc37 | ||
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Eugene Yurtsev
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1e0aebc3ec | ||
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Eugene Yurtsev
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056f581342 | ||
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Eugene Yurtsev
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a0d7323bec | ||
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Vadym Barda
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44ee0199fd | ||
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ZapironandVadym Barda
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1de61f6fce | ||
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Vadym Barda
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f33db6cec4 | ||
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Vadym Barda
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c72107177b | ||
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Yassin Nouh
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f520a38d30 | ||
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Andrew Nguonly
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d0278f520c | ||
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Vadym Barda
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506539ac9d | ||
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JasonJ
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d6c6516f16 | ||
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Sarthak Gupta
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6f5d6d9993 | ||
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Neeraj G
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8dcd058404 | ||
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William FH
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e3050b3a3e | ||
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William Fu-Hinthorn
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9e767afad7 | ||
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William Fu-Hinthorn
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62b35277ec | ||
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William Fu-Hinthorn
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931419909b | ||
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William Fu-Hinthorn
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e849c869cc | ||
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William FH
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5a580ae5ec | ||
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William Fu-Hinthorn
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47a0e09513 | ||
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William Fu-Hinthorn
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f37486efe2 | ||
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William FH
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fa61be9fbc | ||
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William Fu-Hinthorn
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08097a78bd | ||
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William FH
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43f610e9a6 | ||
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William Fu-Hinthorn
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aa1ddee67e | ||
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William FH
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12b46e8a69 | ||
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William Fu-Hinthorn
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d90f69105a | ||
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William Fu-Hinthorn
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fbd3b67183 | ||
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William FH
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6d8be543e7 | ||
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William Fu-Hinthorn
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1c1772f7ec | ||
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William FH
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ce239c784a | ||
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William Fu-Hinthorn
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c14c978824 | ||
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dependabot[bot]andVadym Barda
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ebb2823be0 | ||
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William FH
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25f0224f97 | ||
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William FH
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fdf9b0ad48 | ||
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William FH
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00ecccfd81 | ||
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William Fu-Hinthorn
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7d5452d039 | ||
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William FH
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2d8de54e80 | ||
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William Fu-Hinthorn
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32abc62bc1 | ||
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William Fu-Hinthorn
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e36cf4111d | ||
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William FH
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53a2c2bdcd | ||
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William Fu-Hinthorn
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2cae9337a7 | ||
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William Fu-Hinthorn
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b056e17b38 | ||
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William FH
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2855caa3eb | ||
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William FH
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140566e662 | ||
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William FH
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b7f57b1375 | ||
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Vadym Barda
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121c5863db | ||
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William Fu-Hinthorn
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1709cd3fb5 | ||
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William Fu-Hinthorn
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d4a1fe5a03 | ||
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William Fu-Hinthorn
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06e1e4ed12 | ||
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Vadym Barda
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1e62b175ba | ||
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William FH
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f89fe49f99 | ||
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William Fu-Hinthorn
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2e1971baf3 | ||
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William Fu-Hinthorn
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948027aef2 | ||
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William Fu-Hinthorn
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6954e63671 | ||
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William Fu-Hinthorn
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7f0bfdc139 | ||
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William FH
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0496128e6b | ||
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William FH
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d79b1a61e8 | ||
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William Fu-Hinthorn
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e227f6ce83 | ||
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William Fu-Hinthorn
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8a1a11fde5 | ||
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Andrew Nguonly
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c47fd171c6 | ||
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William Fu-Hinthorn
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1e07a9ac97 | ||
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William Fu-Hinthorn
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d9cc227e75 | ||
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Yang YangandVadym Barda
|
6b45a281c1 | ||
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Bagatur
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532bc71c11 | ||
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dependabot[bot]andVadym Barda
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dabd75f1f9 | ||
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Nuno Campos
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ef88b805a7 | ||
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Nuno Campos
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7e8a68f0f0 | ||
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Nuno Campos
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e20bd15580 | ||
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William Fu-Hinthorn
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51c57cc819 | ||
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William FH
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09a6450eed | ||
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William FH
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77fba7a571 | ||
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William Fu-Hinthorn
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60232eadc4 | ||
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William FHandEugene Yurtsev
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83e4e6c4c2 | ||
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William FH
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a6f0c665af | ||
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William Fu-Hinthorn
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f1a2e19144 | ||
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William Fu-Hinthorn
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b28e9d0a87 | ||
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William Fu-Hinthorn
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b3230cf6d1 | ||
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Yang YangandVadym Barda
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1a6c3114f3 | ||
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Bagatur
|
4f1bf4fa7a | ||
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dependabot[bot]andVadym Barda
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22fa673872 | ||
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Nuno Campos
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3d85f2296c | ||
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Nuno Campos
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5ad9cfa030 | ||
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Nuno Campos
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39281c866d | ||
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Nuno Campos
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4c3a38d324 | ||
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William Fu-Hinthorn
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8fc3f204ea | ||
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William FH
|
2df2f41dc7 | ||
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William Fu-Hinthorn
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30e647abce | ||
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William Fu-Hinthorn
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b85c9961d7 | ||
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William Fu-Hinthorn
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1c97bddc14 | ||
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William Fu-Hinthorn
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97b3d1b9ac | ||
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Vadym Barda
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8b70da6a0f | ||
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William Fu-Hinthorn
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7904fdc928 | ||
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William Fu-Hinthorn
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ba56ba1b2a | ||
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William Fu-Hinthorn
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12f2a480cd | ||
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Vadym Barda
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532cb0a691 | ||
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William Fu-Hinthorn
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23e18e8c1b | ||
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William Fu-Hinthorn
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6d160a2865 | ||
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Luke JangandEugene Yurtsev
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e0b4eb6454 | ||
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Eugene Yurtsev
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608ff41e78 | ||
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Eugene Yurtsev
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9280e3411b | ||
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William FH
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36fa8e0097 | ||
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Eugene Yurtsev
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f63217794d | ||
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William Fu-Hinthorn
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bcb11640a5 | ||
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William Fu-Hinthorn
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b6c3a0d0fd | ||
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Luke Jang
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8b14b6a9f0 | ||
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William Fu-Hinthorn
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8c63cc1778 | ||
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William Fu-Hinthorn
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6756e91ffc | ||
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William Fu-Hinthorn
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3dd1e67977 | ||
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Eugene Yurtsev
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fc5d919aee | ||
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Eugene Yurtsev
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0369300160 | ||
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William Fu-Hinthorn
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245cf83b20 | ||
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Vadym Barda
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9bd351b80f | ||
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Eugene Yurtsev
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83c3f86159 | ||
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Eugene Yurtsev
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3a41a2addc | ||
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Eugene Yurtsev
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3eca363c23 | ||
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Eugene Yurtsev
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2f1e864570 | ||
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Eugene Yurtsev
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79a1ce6804 | ||
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Eugene Yurtsev
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deb99a9acb | ||
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William FH
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781d0cf27a | ||
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William Fu-Hinthorn
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8a02ddd868 | ||
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Eugene Yurtsev
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5f7dcbb07a | ||
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Eugene Yurtsev
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9615580a66 | ||
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Eugene Yurtsev
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d45eb0f9f2 | ||
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William FH
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4caa483478 | ||
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William Fu-Hinthorn
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006305f6a8 | ||
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Vadym Barda
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d9b7aaa5cc | ||
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Vadym Barda
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d2794eda0a | ||
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William FH
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9cbef9b542 | ||
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William Fu-Hinthorn
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343dc2d37a | ||
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David Duong
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ca0ff1d334 | ||
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Tat Dat Duong
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f5663ffa49 | ||
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David Duong
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e7477a9315 | ||
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Tat Dat Duong
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18c083b60a | ||
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Vadym Barda
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2f0e3c66d1 | ||
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Zapiron
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d9ec185e72 | ||
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Denis Capkovic
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William FH
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William FH
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30e6b5482f | ||
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William Fu-Hinthorn
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William FH
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William Fu-Hinthorn
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William Fu-Hinthorn
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William FH
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William Fu-Hinthorn
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Eugene Yurtsev
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Eugene Yurtsev
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Vadym Barda
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Imad SaddikandVadym Barda
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Imad Saddik
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Vadym Barda
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a200027cda | ||
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Eugene Yurtsev
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8cd57f7457 | ||
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Nuno Campos
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26c1f1ee7a | ||
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Vadym Barda
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Eugene Yurtsev
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Nuno Campos
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cbb7348998 | ||
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Nuno Campos
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Nuno Campos
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vbarda
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vbarda
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vbarda
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Vadym Barda
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Nuno Campos
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Nuno Campos
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Nuno Campos
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Vadym Barda
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Vadym Barda
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Vadym Barda
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Andrew Nguonly
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William FH
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William FH
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William Fu-Hinthorn
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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vbarda
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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vbarda
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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vbarda
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vbarda
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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vbarda
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Eugene Yurtsev
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vbarda
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Vadym Barda
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Eugene Yurtsev
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Nuno Campos
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Eugene Yurtsev
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David Duong
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Nuno Campos
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Tat Dat Duong
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vbarda
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Nuno Campos
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Eugene Yurtsev
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Nuno Campos
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Nuno Campos
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Nuno Campos
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Eugene Yurtsev
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Vadym Barda
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Tat Dat Duong
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vbarda
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Tat Dat Duong
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Vadym Barda
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038bec2e78 | ||
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Eugene Yurtsev
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01cdb60b5d | ||
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Eugene Yurtsev
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Vadym Barda
|
c2a41039de | ||
|
Nuno CamposandEugene Yurtsev
|
33fe467d1f | ||
|
Vadym Barda
|
43b6c06f5c | ||
|
Vadym Barda
|
d81dec653d | ||
|
Vadym Barda
|
e1d8c6b113 | ||
|
Vadym Barda
|
a64f9f80c0 | ||
|
Eugene Yurtsev
|
a879de51f1 | ||
|
Eugene Yurtsev
|
60ab76c3e9 | ||
|
Eugene Yurtsev
|
09e9117674 | ||
|
Eugene Yurtsev
|
acac19b95b | ||
|
Eugene Yurtsev
|
723bcfeaa2 | ||
|
Eugene Yurtsev
|
c279421cbf | ||
|
Tat Dat Duong
|
df1e48154a | ||
|
Eugene Yurtsev
|
d0bf7837bd | ||
|
Nuno Campos
|
a403e802fa | ||
|
Nuno Campos
|
e0a0958a60 | ||
|
William FH
|
3f1bdb9ebf | ||
|
Nuno Campos
|
b37c9d8a01 | ||
|
Nuno Campos
|
1af1911aad | ||
|
Eugene Yurtsev
|
b4f7e06a1d | ||
|
Eugene Yurtsev
|
1dda28f8fb | ||
|
Eugene Yurtsev
|
cc4718c5cb | ||
|
Eugene Yurtsev
|
0d580bdac7 | ||
|
Eugene Yurtsev
|
a19d06e18c | ||
|
Eugene Yurtsev
|
e16312da3f | ||
|
Nuno Campos
|
6784a5a5b1 | ||
|
Nuno Campos
|
4e0e9a4eff | ||
|
Nuno Campos
|
015bf5e0a6 | ||
|
Nuno Campos
|
85fc26db43 | ||
|
Vadym Barda
|
5fa80e2a92 | ||
|
Eugene Yurtsev
|
5e13460604 | ||
|
Eugene Yurtsev
|
750b97349e | ||
|
Eugene Yurtsev
|
6230c46830 | ||
|
William FH
|
93e4c8cc1f | ||
|
Nuno Campos
|
b7e441d781 | ||
|
Nuno Campos
|
ccd8920eef | ||
|
Vadym Barda
|
0c379d6cc7 | ||
|
Eugene Yurtsev
|
01b1080b6e | ||
|
Eugene Yurtsev
|
62ff2eb32d | ||
|
Nuno Campos
|
1f745ca017 | ||
|
Nuno Campos
|
aa4fea48dd | ||
|
Eugene Yurtsev
|
4fd261765a | ||
|
William FH
|
0f0e31df24 | ||
|
Nuno Campos
|
a275ab26d3 | ||
|
William FH
|
b3bf4dd43c | ||
|
David Duong
|
b7fd391811 | ||
|
Tat Dat Duong
|
cf961a286c | ||
|
Vadym Barda
|
4b83103cf2 | ||
|
William FH
|
1a46537c3a | ||
|
Eugene Yurtsev
|
0a49f3003b | ||
|
Eugene Yurtsev
|
e80098e297 | ||
|
Eugene Yurtsev
|
3d3647cd85 | ||
|
Eugene Yurtsev
|
291379dfb9 | ||
|
Eugene Yurtsev
|
9f93e48a67 | ||
|
Eugene Yurtsev
|
de123d66a5 | ||
|
Nuno Campos
|
759a712f57 | ||
|
Nuno Campos
|
9f73dfa8d5 | ||
|
Nuno Campos
|
4459952e72 | ||
|
Nuno Campos
|
8ef82f3578 | ||
|
Nuno Campos
|
73e3f5a5b0 | ||
|
Nuno Campos
|
a54587cff5 | ||
|
Nuno Campos
|
63ea71548b | ||
|
Nuno Campos
|
f32cf5e984 | ||
|
Nuno Campos
|
d1aaa9de8c | ||
|
Nuno Campos
|
f40a2d71ec | ||
|
Nuno Campos
|
b5a9e9da55 | ||
|
vbarda
|
1eeb90ae0d | ||
|
William FH
|
cd875291ad | ||
|
Vadym BardaandNuno Campos
|
e9cd216887 | ||
|
Vadym BardaandNuno Campos
|
7651f1ab1c | ||
|
Vadym BardaandNuno Campos
|
1a492f727c | ||
|
Vadym BardaandNuno Campos
|
6caaa8cea7 | ||
|
Vadym Barda
|
f028984b2e | ||
|
vbarda
|
085395c824 | ||
|
vbarda
|
19a6e894eb | ||
|
vbarda
|
5570121c83 | ||
|
vbarda
|
257e44ccb4 | ||
|
Eugene Yurtsev
|
dad0f39fa4 | ||
|
Nuno Campos
|
7a326ef768 | ||
|
Nuno Campos
|
2fa2469967 | ||
|
Nuno Campos
|
de86a46b3d | ||
|
Nuno Campos
|
9733db03c5 | ||
|
Nuno Campos
|
e1f65012e6 | ||
|
Nuno Campos
|
eb593d47dd | ||
|
Nuno Campos
|
4e8f4ce440 | ||
|
Nuno Campos
|
007d7e72b1 | ||
|
Nuno Campos
|
2b77fdabee | ||
|
Nuno Campos
|
40d16593c7 | ||
|
Nuno Campos
|
ec7bbe14b2 | ||
|
Nuno Campos
|
4c6323c585 | ||
|
Nuno Campos
|
2fe38f3940 | ||
|
Nuno Campos
|
09ca964714 | ||
|
Nuno Campos
|
0663d46c47 | ||
|
Nuno Campos
|
a91dbf9b70 | ||
|
Nuno Campos
|
d93be914c7 | ||
|
Nuno Campos
|
287c29fbdc | ||
|
Nuno Campos
|
90dd2b01b6 | ||
|
Nuno Campos
|
a443b3b256 | ||
|
Nuno Campos
|
2e9aea6fc8 | ||
|
Nuno Campos
|
2895a69678 | ||
|
Nuno Campos
|
76a209835f | ||
|
Nuno Campos
|
872f54adf1 | ||
|
Nuno Campos
|
01a3c23a29 | ||
|
Nuno Campos
|
0461d45d76 | ||
|
Nuno Campos
|
7d8205633d | ||
|
vbarda
|
797b919cf9 | ||
|
Nuno Campos
|
574ffb02fc | ||
|
Nuno Campos
|
771b9b28cd | ||
|
Nuno Campos
|
dcc2617396 | ||
|
Nuno Campos
|
df70e91dae | ||
|
Nuno Campos
|
b4b3ac6f57 | ||
|
Nuno Campos
|
78e6b36b1a | ||
|
William FH
|
d457ad3cc2 | ||
|
Nuno Campos
|
5c7a6689af | ||
|
Nuno Campos
|
fb01d65dc0 | ||
|
Eugene Yurtsev
|
c75bfc1032 | ||
|
Eugene Yurtsev
|
6dc70b703d | ||
|
Eugene Yurtsev
|
eb09909c22 | ||
|
Nuno Campos
|
ea5ccd7a80 | ||
|
vbarda
|
d52bb911a4 | ||
|
Vadym Barda
|
89a739e12b | ||
|
vbarda
|
0fdf3c9daf | ||
|
vbarda
|
90eab07ded | ||
|
William FH
|
962a969fba | ||
|
William FH
|
c89e84fb6a | ||
|
William FH
|
3ff1f81333 | ||
|
Vadym Barda
|
851e6d1d4c | ||
|
William FH
|
e5e659c590 | ||
|
Eugene Yurtsev
|
8db6a78ad9 | ||
|
Nuno Campos
|
9ab5fbc0f8 | ||
|
William FH
|
c141f0fdf0 | ||
|
William FH
|
830557d6b7 | ||
|
Nuno Campos
|
e5b00cdd1e | ||
|
Nuno Campos
|
8eea7ac401 | ||
|
William FH
|
c322f7ffa6 | ||
|
William FH
|
e6c83abecd | ||
|
ACMCMC
|
a8db511e24 | ||
|
湛露先生
|
84d33f9621 | ||
|
William FH
|
9220049b35 | ||
|
William FH
|
879df6b52c | ||
|
William FH
|
9b8bf70d9e | ||
|
Phoenix Logan
|
aca67107c1 | ||
|
William FH
|
5fa196ab38 | ||
|
Nuno Campos
|
584d9271ce | ||
|
Nuno Campos
|
1bee33db3a | ||
|
Nuno Campos
|
a203ddecf7 | ||
|
Vadym Barda
|
5e3c326424 | ||
|
Nuno Campos
|
86407aa6e8 | ||
|
Vadym Barda
|
7a80d6cb87 | ||
|
Nuno Campos
|
70f323779e | ||
|
Brace SproulandVadym Barda
|
23d5162945 | ||
|
bracesproul
|
9d755f54e4 | ||
|
Nuno Campos
|
75cccc4fc4 | ||
|
Nuno Campos
|
dd010e9230 | ||
|
Nuno Campos
|
2d87195b59 | ||
|
vbarda
|
515242d0ba | ||
|
Nuno Campos
|
3bf92d0b03 | ||
|
William FH
|
36b6cd1493 | ||
|
William FH
|
0361554fcf | ||
|
William FHandTai Groot
|
4332a9515d | ||
|
Nuno Campos
|
64b99c187a | ||
|
Nuno Campos
|
afa37d2059 | ||
|
Nuno Campos
|
b80933c5fb | ||
|
Nuno Campos
|
d70b659adb | ||
|
William FH
|
15f0765d60 | ||
|
Mingqi HuandWilliam FH
|
fe538d4bcb | ||
|
Nuno Campos
|
4e26a5cf2e | ||
|
William FH
|
20f091a277 | ||
|
Nuno Campos
|
0071bd1e1c | ||
|
Nuno Campos
|
d36e6ceaaf | ||
|
Nuno Campos
|
a3feaef2eb | ||
|
David Duong
|
c6fe26510e | ||
|
Nuno Campos
|
efbd02a27d | ||
|
Tat Dat Duong
|
a91bf116cb | ||
|
Tat Dat Duong
|
6a6c3ed84c | ||
|
Tat Dat Duong
|
988dd237d2 | ||
|
David Duong
|
63f5f15c04 | ||
|
Nuno Campos
|
6fc1c602ab | ||
|
Nuno Campos
|
2b65308508 | ||
|
Nuno Campos
|
3cee1d5087 | ||
|
Nuno Campos
|
2ce2021c39 | ||
|
Tat Dat Duong
|
46dd424a7e | ||
|
stneng
|
363c6e2e4c | ||
|
Vadym Barda
|
784821705b | ||
|
William FH
|
65172c2a43 | ||
|
William FH
|
1130c3accb | ||
|
William FH
|
ee8653d1c5 | ||
|
William FH
|
12486d977a | ||
|
William FH
|
c87f9ab6b1 | ||
|
William FH
|
855a3d21ff | ||
|
William FH
|
d767af421b | ||
|
Nuno Campos
|
07ac016e60 | ||
|
Nuno Campos
|
4576a259dd | ||
|
Nuno Campos
|
53ec7c41b2 | ||
|
Nuno Campos
|
769f6a1925 | ||
|
William FH
|
62a36befd5 | ||
|
Andrew Nguonly
|
dfaff2511b | ||
|
Nuno Campos
|
1d9a0d1e4e | ||
|
Nuno Campos
|
35c7eb18ee | ||
|
Nuno Campos
|
dc09b13400 | ||
|
Nuno Campos
|
b2d8acffc4 | ||
|
Nuno Campos
|
1031e54860 | ||
|
Jacob Lee
|
7ac365ea84 | ||
|
Vadym Barda
|
5144b8f374 | ||
|
Vadym Barda
|
f4a9d17d24 | ||
|
vbarda
|
f416480e9d | ||
|
vbarda
|
61e47cb137 | ||
|
Brace Sproul
|
d4bbb66963 | ||
|
Nuno Campos
|
4b1b3cecb4 | ||
|
jacoblee93
|
c6a953c02a | ||
|
jacoblee93
|
16b955dee2 | ||
|
Brace Sproul
|
877124f7df | ||
|
bracesproul
|
d3a4865c0e | ||
|
Brace Sproul
|
45b5f386e5 | ||
|
bracesproul
|
a1ec55abc5 | ||
|
Brace Sproul
|
a3761ac522 | ||
|
bracesproul
|
376c58ff3b | ||
|
bracesproul
|
58b99c899e | ||
|
bracesproul
|
2ee279a977 | ||
|
William FH
|
f04ce5d1ee | ||
|
William FH
|
8f649abd0a | ||
|
William FH
|
1febec7c0d | ||
|
Nuno Campos
|
a4eb4c6942 | ||
|
Nuno Campos
|
8e1cd0e225 | ||
|
|
98935e1ffd | ||
|
William FH
|
328ef609af | ||
|
Talha Munir
|
486d5412af | ||
|
Nuno Campos
|
abc0c8c223 | ||
|
Nuno Campos
|
5bbb9dae57 | ||
|
Nuno Campos
|
fed60e713c | ||
|
Eugene Yurtsev
|
4f4e7a6981 | ||
|
Eugene Yurtsev
|
f08155d60b | ||
|
Eugene Yurtsev
|
24b16908b7 | ||
|
Eugene Yurtsev
|
c1c2ce8f1b | ||
|
Eugene Yurtsev
|
3efd4f3406 | ||
|
Eugene Yurtsev
|
f122ae2eb1 | ||
|
Mingqi HuandEugene Yurtsev
|
3351d4f6c5 | ||
|
Eugene Yurtsev
|
b4900341e4 | ||
|
Eugene Yurtsev
|
05791f5dfc | ||
|
Eugene Yurtsev
|
416dfe95da | ||
|
Eugene Yurtsev
|
65f515e020 | ||
|
Eugene Yurtsev
|
0d0665a6e3 | ||
|
Eugene Yurtsev
|
93b8525dc1 | ||
|
Eugene Yurtsev
|
aeb6f784e1 | ||
|
Nuno Campos
|
3eedeac0d4 | ||
|
Eugene Yurtsev
|
b09e7b20b0 | ||
|
Eugene Yurtsev
|
26ce731eab | ||
|
Eugene Yurtsev
|
55593446f8 | ||
|
vbarda
|
2d6ddd0a1d | ||
|
William FH
|
7082e2613e | ||
|
dependabot[bot]andWilliam FH
|
ceeb9636ee | ||
|
dependabot[bot]andWilliam FH
|
f7788abbb6 | ||
|
dependabot[bot]
|
9bd430142a | ||
|
dependabot[bot]
|
72dac006f4 | ||
|
William FH
|
54d848913f | ||
|
Nuno Campos
|
7021e81150 | ||
|
vbarda
|
b977045679 | ||
|
William FH
|
a933776436 | ||
|
Nuno Campos
|
588373c2d5 | ||
|
Nuno Campos
|
267962bece | ||
|
Nuno Campos
|
4ae29b6e2a | ||
|
William Fu-Hinthorn
|
3c0de26914 | ||
|
Nuno Campos
|
a570662773 | ||
|
Nuno Campos
|
9766068896 | ||
|
Vadym Barda
|
7e8eef88ca | ||
|
Eugene Yurtsev
|
e3e63c70c9 | ||
|
Brace Sproul
|
312f0982bc | ||
|
bracesproul
|
153245145e | ||
|
Brace Sproul
|
c95abd88a1 | ||
|
Brace Sproul
|
a2b357bed5 | ||
|
Nuno Campos
|
253090f34d | ||
|
Brace Sproul
|
7090d7e9a8 | ||
|
bracesproul
|
b3fa43e4a6 | ||
|
Vadym Barda
|
b1779cf348 | ||
|
Harrison Chase
|
26d18d3ca5 | ||
|
Christopher Brooks
|
7d80176137 | ||
|
Christopher Brooks
|
ca7da2fc41 | ||
|
William FHandHarrison Chase
|
12052d7d26 | ||
|
Vadym Barda
|
e3a30a9b69 | ||
|
William FH
|
ff1370a9a5 | ||
|
William FH
|
679a7365da | ||
|
William FHandEugene Yurtsev
|
b2522ffe19 | ||
|
Eugene Yurtsev
|
4212a795a0 | ||
|
Eugene Yurtsev
|
517d67aa32 | ||
|
Brace Sproul
|
feaf14765a | ||
|
Vadym Barda
|
cc6063c729 | ||
|
Ian SullivanandIan Sullivan
|
013397042e | ||
|
Nuno Campos
|
9a775d9c9f | ||
|
Nuno Campos
|
2c945ceb68 | ||
|
Erick Friis
|
39eabd0fb8 | ||
|
Erick Friis
|
e5cc2e2044 | ||
|
bracesproul
|
f00c0515e7 | ||
|
bracesproul
|
d87c0d4d53 | ||
|
Nuno Campos
|
fb40a974c8 | ||
|
Nuno Campos
|
d63bfc6879 | ||
|
Nuno Campos
|
97dd30711a | ||
|
Vadym Barda
|
016a9c1936 | ||
|
Nuno Campos
|
a2d6837fba | ||
|
Andrew Nguonly
|
f5bb2a3b04 | ||
|
vbarda
|
f807b73092 | ||
|
Nuno Campos
|
167405daf2 | ||
|
William FH
|
c6360e5408 | ||
|
vbarda
|
f0505155a2 | ||
|
Nuno CamposandWilliam Fu-Hinthorn
|
886df0fa86 | ||
|
Kevin Markham
|
3f1792d6ba | ||
|
Zapiron
|
9208052a94 | ||
|
Nuno Campos
|
7866bd2718 | ||
|
Nuno Campos
|
7c11325e23 | ||
|
Nuno Campos
|
d99dc7d81b | ||
|
Nuno Campos
|
973ad76a58 | ||
|
Nuno Campos
|
36e49eb190 | ||
|
Nuno Campos
|
66b9a7dee7 | ||
|
Nuno Campos
|
5494855ffa | ||
|
Nuno Campos
|
38d93a324c | ||
|
Nuno Campos
|
07c65321c1 | ||
|
Nuno Campos
|
1dbdd7df2e | ||
|
Nuno Campos
|
dab29ce094 | ||
|
Vadym Barda
|
0388534b9f | ||
|
Nuno Campos
|
81077e7c3a | ||
|
Nuno Campos
|
29a0042149 | ||
|
William FH
|
e9162e2516 | ||
|
Vadym Barda
|
0f6c001c25 | ||
|
Eugene Yurtsev
|
7f26325c87 | ||
|
Nuno Campos
|
3c4ce3f945 | ||
|
Nuno Campos
|
84ef939bf4 | ||
|
Nuno Campos
|
bdc22ea127 | ||
|
Vadym Barda
|
5abbb79e1b | ||
|
vbarda
|
0a5220aa07 | ||
|
Nuno Campos
|
970e68edcc | ||
|
vbarda
|
da1a80e86d | ||
|
vbarda
|
c4b240e0c2 | ||
|
vbarda
|
c2052d11c2 | ||
|
Vadym Barda
|
dc0281b99c | ||
|
Nuno Campos
|
3a860ad537 | ||
|
Nuno Campos
|
7051bccc30 | ||
|
Nuno Campos
|
199e41b228 | ||
|
Nuno Campos
|
229a9e19a8 | ||
|
Nuno Campos
|
3c3a1a1f35 | ||
|
Nuno Campos
|
f11127648e | ||
|
Nuno Campos
|
29f833b1a7 | ||
|
Nuno Campos
|
7a3ea42743 | ||
|
Nuno Campos
|
a94902db8a | ||
|
Nuno Campos
|
9fd152ef3a | ||
|
Nuno Campos
|
03bc9ba6e6 | ||
|
Nuno Campos
|
7fe6f88876 | ||
|
Nuno Campos
|
1d88affd29 | ||
|
Eugene Yurtsev
|
6906e12edb | ||
|
William FH
|
7b4c29a20d | ||
|
Nuno Campos
|
16bfa80b58 | ||
|
Eugene Yurtsev
|
cb10437c3f | ||
|
Eugene Yurtsev
|
2bcf1c0a20 | ||
|
Nuno Campos
|
00964b18f6 | ||
|
Nuno Campos
|
0d5c6201d3 | ||
|
Nuno Campos
|
86d2847dab | ||
|
Nuno Campos
|
b3a4eaa967 | ||
|
Nuno Campos
|
87fc519ce7 | ||
|
Nuno Campos
|
ef3a1ee997 | ||
|
Nuno Campos
|
311e16dffd | ||
|
Nuno Campos
|
c83b8f6d04 | ||
|
Nuno Campos
|
62d3a85b07 | ||
|
Nuno Campos
|
810ae0ef51 | ||
|
Nuno Campos
|
2ff49d2200 | ||
|
Nuno Campos
|
d0567dc7be | ||
|
Nuno Campos
|
ea64ac5c07 | ||
|
Nuno Campos
|
090b53ccc1 | ||
|
Nuno Campos
|
0e872e7482 | ||
|
Nuno Campos
|
3ad966e057 | ||
|
Nuno Campos
|
a73f9affab | ||
|
Nuno Campos
|
89a0859928 | ||
|
Nuno Campos
|
75c502cd93 | ||
|
Nuno Campos
|
0cc45f7a35 | ||
|
Nuno Campos
|
efb1dd6a10 | ||
|
Nuno Campos
|
6edb213fe7 | ||
|
Nuno Campos
|
c0513076a2 | ||
|
Nuno Campos
|
c043f148a6 | ||
|
David Duong
|
366b5e04c7 | ||
|
Tat Dat Duong
|
72239d2228 | ||
|
Vadym Barda
|
b7f238975a | ||
|
Tat Dat Duong
|
a3c45141ee | ||
|
Tat Dat Duong
|
f7b899a54d | ||
|
Vadym Barda
|
95477277a2 | ||
|
Andrew Nguonly
|
64b446f671 | ||
|
David Duong
|
c2d2e44794 | ||
|
Eugene Yurtsev
|
f60b9f3b43 | ||
|
Tat Dat Duong
|
e3acfa3435 | ||
|
Vadym Barda
|
0f92c89529 | ||
|
Andrew Nguonly
|
7cba75ec35 | ||
|
Vadym Barda
|
8408ba3a3e | ||
|
Nuno Campos
|
c8c58b30d5 | ||
|
Nuno Campos
|
b4bed3329c | ||
|
Eugene Yurtsev
|
4eec3aa69e | ||
|
Vadym Barda
|
35e3276e34 | ||
|
Nuno Campos
|
b346f4ead8 | ||
|
Vadym Barda
|
fef748e6cc | ||
|
Nuno Campos
|
19cc95f7b6 | ||
|
Vadym Barda
|
eef65d94ac | ||
|
Nuno Campos
|
72d497e052 | ||
|
Nuno Campos
|
32f58258aa | ||
|
Nuno Campos
|
87d57b434a | ||
|
Nuno Campos
|
4bbbb7d246 | ||
|
Nuno Campos
|
c1ce3c6b5f | ||
|
Nuno Campos
|
511de6f5f6 | ||
|
Nuno Campos
|
4dc08cd724 | ||
|
Tat Dat Duong
|
d7b9b3b01d | ||
|
Vadym Barda
|
a82ded65c6 | ||
|
Brace Sproul
|
1ca49fa568 | ||
|
bracesproul
|
4eb3cd32fa | ||
|
Brace Sproul
|
80d2a315aa | ||
|
bracesproul
|
82c9aa8485 | ||
|
Nuno Campos
|
8ecfafefbf | ||
|
Nuno Campos
|
010564cbb3 | ||
|
Nuno Campos
|
18a3fa4a00 | ||
|
Nuno Campos
|
de8e487ff1 | ||
|
Nuno Campos
|
e5ebdff4d8 | ||
|
Nuno Campos
|
f283dac325 | ||
|
Nuno Campos
|
639501809c | ||
|
Nuno Campos
|
36e6b89081 | ||
|
Nuno Campos
|
90639e6cd7 | ||
|
Nuno Campos
|
dec0b7f439 | ||
|
Nuno Campos
|
04657408f8 | ||
|
Nuno Campos
|
971d746061 | ||
|
Nuno Campos
|
9a2ba8c8cd | ||
|
Nuno Campos
|
b50d41bbf3 | ||
|
Nuno Campos
|
b71fd5092b | ||
|
Nuno Campos
|
f9b151b67f | ||
|
William FH
|
7ba9a66301 | ||
|
Nuno Campos
|
1b85764bf6 | ||
|
Nuno Campos
|
5e4c928948 | ||
|
Nuno Campos
|
ae282e3ae1 | ||
|
Nuno Campos
|
de3b654735 | ||
|
Nuno Campos
|
d28734f287 | ||
|
Nuno Campos
|
f9409022ed | ||
|
Nuno Campos
|
8138c88b41 | ||
|
Nuno Campos
|
38332fd3c6 | ||
|
Nuno Campos
|
5606bef3dd | ||
|
Vadym Barda
|
895079bbdc | ||
|
Nuno Campos
|
6aaf80f2fd | ||
|
Vadym Barda
|
2e656d9145 | ||
|
Nuno Campos
|
1fb8e013f7 | ||
|
Nuno Campos
|
f8fe2041d9 | ||
|
Nuno Campos
|
014f8485a6 | ||
|
David Duong
|
58d7eb9b17 | ||
|
Tat Dat Duong
|
44ff5f1a5a | ||
|
David Duong
|
46f25cf926 | ||
|
Tat Dat Duong
|
e1467c27cb | ||
|
Tat Dat Duong
|
5deedfe548 | ||
|
Tat Dat Duong
|
30937d0406 | ||
|
David Duong
|
6eb8130419 | ||
|
Tat Dat Duong
|
8455771eb9 | ||
|
Tat Dat Duong
|
39dcafcdea | ||
|
Tat Dat Duong
|
7854a19dac | ||
|
Allen
|
18cea39090 | ||
|
Vadym Barda
|
46ffa0e8d4 | ||
|
Tat Dat Duong
|
bf3098a075 | ||
|
Andrew Nguonly
|
cdd7899564 | ||
|
Vadym Barda
|
eeebd44a87 | ||
|
Vadym Barda
|
805f437534 | ||
|
Vadym Barda
|
782b9a7903 | ||
|
Andrew Nguonly
|
ecb584cbe0 | ||
|
Nuno Campos
|
1e3953d1e0 | ||
|
William FH
|
509291fc1a | ||
|
Vadym Barda
|
dbb1958be5 | ||
|
Vadym Barda
|
d261d43b39 | ||
|
Andrew Nguonly
|
6986a50711 | ||
|
Nuno Campos
|
e9fe3e8bd9 | ||
|
ccurme
|
bdca2f590a | ||
|
Tat Dat Duong
|
f4801ae9ae | ||
|
Nuno Campos
|
47ea264b46 | ||
|
vbarda
|
84e023e10b | ||
|
Chester Curme
|
52f0953786 | ||
|
Vadym Barda
|
d9743f684e | ||
|
Vadym Barda
|
4aebb461e9 | ||
|
Vadym Barda
|
c2cc1e2e5e | ||
|
William FH
|
66cf2e6779 | ||
|
Vadym Barda
|
7bacb8c984 | ||
|
Bagatur
|
e2de59c6fb | ||
|
Vadym Barda
|
c28dc26356 | ||
|
Eugene Yurtsev
|
ea012fb7dc | ||
|
Nuno Campos
|
18e71469e1 | ||
|
Eugene Yurtsev
|
4b1d30906e | ||
|
Eugene Yurtsev
|
8b36013a03 | ||
|
Vadym Barda
|
ed91572ceb | ||
|
Eugene Yurtsev
|
4150abf18c | ||
|
Vadym Barda
|
e132dfc955 | ||
|
Nuno Campos
|
2624fc43dd | ||
|
Nuno Campos
|
0c5c2e6370 | ||
|
Harrison Chase
|
f7a93f99ef | ||
|
Vadym Barda
|
9f29bbfce8 | ||
|
Vadym Barda
|
0075080827 | ||
|
Harrison Chase
|
63318e5690 | ||
|
Harrison Chase
|
d0c12b1b7f | ||
|
Vadym Barda
|
194b4e0d9b | ||
|
Nuno Campos
|
c6c7f400ae | ||
|
Vadym Barda
|
c91e6bcc46 | ||
|
vbarda
|
ca69566d67 | ||
|
Jacob Lee
|
0bedfa3628 | ||
|
Vadym Barda
|
fd82f037c6 | ||
|
Vadym Barda
|
2bacc42e01 | ||
|
Eugene Yurtsev
|
b527b785fd | ||
|
Eugene Yurtsev
|
c3622cb0fe | ||
|
|
d0e59f406b | ||
|
Nuno Campos
|
4cc6d789ed | ||
|
Bagatur
|
d6d6ab9b73 | ||
|
Vadym Barda
|
e7816eb197 | ||
|
Vadym Barda
|
4f8b69360c | ||
|
Vadym Barda
|
0718d0a660 | ||
|
Bagatur
|
3641e65cac | ||
|
Nuno Campos
|
b17141604d | ||
|
Nuno Campos
|
5fece1cbfc | ||
|
Nuno Campos
|
a85b7fca15 | ||
|
jacoblee93
|
af9a09b182 | ||
|
Nuno Campos
|
75c8f99d3c | ||
|
Nuno Campos
|
46892855c5 | ||
|
Nuno Campos
|
59e8d59b7c | ||
|
Nuno Campos
|
5cb6ff79ca | ||
|
Nuno Campos
|
9c41ce0b1c | ||
|
Nuno Campos
|
61abee4bd4 | ||
|
Nuno Campos
|
43d9567c5d | ||
|
Nuno Campos
|
3923979479 | ||
|
Nuno Campos
|
5312fbd7f4 | ||
|
David Duong
|
ae412bbede | ||
|
jacoblee93
|
69c8d21ba6 | ||
|
Nuno Campos
|
2dfc4e3cc0 | ||
|
William FHandNuno Campos
|
74c8589045 | ||
|
Vadym Barda
|
4717632ce7 | ||
|
Andrew Nguonly
|
726a85f26b | ||
|
Vadym Barda
|
8a0650a46b | ||
|
Vadym Barda
|
e7dc43b7ca | ||
|
Nuno Campos
|
90195af1d8 | ||
|
Nuno Campos
|
da707343dc | ||
|
Nuno Campos
|
1f5fc505c6 | ||
|
Nuno Campos
|
4c655f841e | ||
|
Nuno Campos
|
be27c96f3c | ||
|
eric-langchain
|
5090e30f71 | ||
|
Lance Martin
|
688de89864 | ||
|
Lance Martin
|
62444d4c63 | ||
|
Eugene Yurtsev
|
4a970cca8b | ||
|
Eugene Yurtsev
|
18b9135770 | ||
|
David Duong
|
d266ddb312 | ||
|
Tat Dat Duong
|
7a348ac19c | ||
|
Eric han
|
123d93539a | ||
|
Eric han
|
785e7dab3a | ||
|
Vadym Barda
|
582fb11dd4 | ||
|
Vadym Barda
|
39d9cdbef0 | ||
|
Vadym Barda
|
6dacd1aabe | ||
|
Vadym Barda
|
91ad8b803b | ||
|
Vadym Barda
|
a0e99f704f | ||
|
Vadym Barda
|
def3e06b4a | ||
|
David Duong
|
a4fab2a867 | ||
|
Tat Dat Duong
|
cf1c7f3673 | ||
|
Nuno Campos
|
6c05b66c7c | ||
|
Tat Dat Duong
|
5c44dcef81 | ||
|
Nuno Campos
|
7fd6b1b4be | ||
|
Vadym Barda
|
6202e0f1d9 | ||
|
Tat Dat Duong
|
ccfeafa975 | ||
|
Nuno Campos
|
83238f51d8 | ||
|
Nuno Campos
|
05f008cbfb | ||
|
Nuno Campos
|
a8ae2a52a3 | ||
|
Nuno Campos
|
aa245a8e71 | ||
|
Isaac Franciscoandvbarda
|
bdc75a22d5 | ||
|
Nuno Campos
|
69227daff3 | ||
|
Nuno Campos
|
dc8260bb72 | ||
|
Vadym Barda
|
62a5ec509d | ||
|
Vadym Barda
|
d32386f849 | ||
|
Nuno Campos
|
08a1ed38f1 | ||
|
Nuno Campos
|
037a95ff60 | ||
|
Nuno Campos
|
e294720ec5 | ||
|
Nuno Campos
|
f8a0b7a464 | ||
|
Nuno Campos
|
1121806ba4 | ||
|
Nuno Campos
|
dca200d6c4 | ||
|
Vadym Barda
|
6f236b5f2c | ||
|
Vadym Barda
|
916affa1b5 | ||
|
Nuno Campos
|
58cf0c6a6e | ||
|
gbaian10
|
0042889c31 | ||
|
nikhildigde
|
2be012d8ed | ||
|
Yuki Oshima
|
780285ef91 | ||
|
Nuno Campos
|
47c7b76aa1 | ||
|
Nuno Campos
|
9931f61525 | ||
|
Nuno Campos
|
0d81ad92f0 | ||
|
Nuno Campos
|
7d3f2ca3ed | ||
|
Nuno Campos
|
42648c88dd | ||
|
Vadym Barda
|
1aab758634 | ||
|
Vadym Barda
|
b5fbc7a7b8 | ||
|
|
b647dcb0f2 | ||
|
Nuno Campos
|
4df5680732 | ||
|
Nuno Campos
|
74a17a6d4c | ||
|
Nuno Campos
|
e2a3698250 | ||
|
Vadym Barda
|
4dfdb9a83e | ||
|
Vadym Barda
|
583d8c9499 | ||
|
vbarda
|
15bbede7bc | ||
|
Vadym Barda
|
3ffdf4bb3f | ||
|
Nuno Campos
|
6578698414 | ||
|
Tat Dat Duong
|
048ae6c17b | ||
|
Nuno Campos
|
0e2c2eb13a | ||
|
Nuno Campos
|
515c4ffebe | ||
|
Nuno Campos
|
eefe057a47 | ||
|
Isaac Franciscoandvbarda
|
18f34c30d8 | ||
|
|
2670bcf330 | ||
|
bracesproul
|
433c382280 | ||
|
bracesproul
|
7352ab14a2 | ||
|
bracesproul
|
85a76912d3 | ||
|
Nuno Campos
|
f6fb2ef5ca | ||
|
Vadym Barda
|
2fb7e92879 | ||
|
Nuno Campos
|
46b2d08a8a | ||
|
Nuno Campos
|
649b742e0a | ||
|
Nuno Campos
|
fd4629e778 | ||
|
vbarda
|
d14f98f01b | ||
|
Nuno Campos
|
c0b56bf60d | ||
|
Nuno Campos
|
e8b875906f | ||
|
Nuno Campos
|
d48faecd42 | ||
|
Nuno Campos
|
5e175e098b | ||
|
Nuno Campos
|
bcf335651e | ||
|
Nuno Campos
|
965849823a | ||
|
Nuno Campos
|
45e7101457 | ||
|
Nuno Campos
|
ecd75a8c4d | ||
|
Nuno Campos
|
edec5c055e | ||
|
Nuno Campos
|
ff310cc8d6 | ||
|
Nuno Campos
|
233bd78ee4 | ||
|
Nuno Campos
|
b818bf2fba | ||
|
Tat Dat Duong
|
c5ec568cfb | ||
|
Tat Dat Duong
|
29548b2e27 | ||
|
Nuno Campos
|
f2dc537696 | ||
|
Nuno Campos
|
31d21c8d24 | ||
|
Nuno Campos
|
4a03ed5915 | ||
|
Nuno Campos
|
dc083c6563 | ||
|
Nuno Campos
|
bfe005fef0 | ||
|
vbarda
|
5388b7c74f | ||
|
vbarda
|
0d4617817d | ||
|
Nuno Campos
|
5046ec4f43 | ||
|
Nuno Campos
|
c26bb9e156 | ||
|
Nuno Campos
|
3982090c6d | ||
|
Nuno Campos
|
6d3a2c59da | ||
|
vbarda
|
79444dee9c | ||
|
Nuno Campos
|
07f8f87780 | ||
|
Nuno Campos
|
99bde8774e | ||
|
Nuno Campos
|
5946f4ff2b | ||
|
vbarda
|
b99734d157 | ||
|
Vadym Barda
|
d1c29fc8be | ||
|
Andrew Nguonly
|
19ccb0c6af | ||
|
Andrew Nguonly
|
a277b86fcb | ||
|
Andrew Nguonly
|
2f819a6a9b | ||
|
Nuno Campos
|
dc47c7b357 | ||
|
Nuno Campos
|
561aa3080e | ||
|
Nuno Campos
|
c6a450b857 | ||
|
Nuno Campos
|
0557fb03a4 | ||
|
Nuno Campos
|
c9adf995c2 | ||
|
Nuno Campos
|
fc20de5bba | ||
|
Nuno Campos
|
0822a287e3 | ||
|
Andrew Nguonly
|
66741ba071 | ||
|
Andrew Nguonly
|
e72c25873f | ||
|
Vadym Barda
|
739336516d | ||
|
Nuno Campos
|
ae6c793bdf | ||
|
Nuno Campos
|
d8954963b4 | ||
|
Nuno Campos
|
ea38ba9e29 | ||
|
Nuno Campos
|
76229ade66 | ||
|
Nuno Campos
|
4aad36947e | ||
|
Nuno Campos
|
cb7b667e6f | ||
|
Nuno Campos
|
822ddb5f48 | ||
|
Nuno Campos
|
de355ee2d2 | ||
|
Nuno Campos
|
9ca270d62d | ||
|
David Duong
|
28b5105913 | ||
|
Tat Dat Duong
|
be47752f0e | ||
|
Isaac Francisco
|
aa83f4a33e | ||
|
Tat Dat Duong
|
4d69331a52 | ||
|
Tat Dat Duong
|
fb8c386958 | ||
|
Tat Dat Duong
|
ac8b51f1f2 | ||
|
Vadym Barda
|
db0f508269 | ||
|
Vadym Barda
|
fe110ae145 | ||
|
David Duong
|
fc276c5ac0 | ||
|
Tat Dat Duong
|
9360545659 | ||
|
Tat Dat Duong
|
26e30ad6af | ||
|
Tat Dat Duong
|
8df533b489 | ||
|
Vadym Barda
|
f9df0f4700 | ||
|
David Duong
|
5d0afa3888 | ||
|
Tat Dat Duong
|
a53a566730 | ||
|
Andrew Nguonly
|
d2c359f7c9 | ||
|
Andrew Nguonly
|
c4d251b05c | ||
|
Andrew Nguonly
|
9a752e1563 | ||
|
Andrew Nguonly
|
6d4a426059 | ||
|
Andrew Nguonly
|
598bb5a641 | ||
|
Andrew Nguonly
|
28ff7fd7ba | ||
|
Tat Dat Duong
|
0628c6402f | ||
|
Tat Dat Duong
|
db61d294a6 | ||
|
Andrew Nguonly
|
7883ceae64 | ||
|
Andrew Nguonly
|
6698e25a04 | ||
|
Andrew Nguonly
|
fd1a9e4da3 | ||
|
Andrew Nguonly
|
82c316b3f7 | ||
|
Tat Dat Duong
|
7a282f82dc | ||
|
Tat Dat Duong
|
45a12c938b | ||
|
Tat Dat Duong
|
b51f5d6345 | ||
|
Tat Dat Duong
|
f9e900f39a | ||
|
Tat Dat Duong
|
e564902753 | ||
|
Tat Dat Duong
|
e3bee7d843 | ||
|
Tat Dat Duong
|
4f61dd1aa6 | ||
|
Tat Dat Duong
|
7e9cf02922 | ||
|
Tat Dat Duong
|
50b1a1e230 | ||
|
Tat Dat Duong
|
c1081af6bc | ||
|
Tat Dat Duong
|
dfb265f296 | ||
|
William FH
|
254b12a62d | ||
|
Eugene YurtsevandWilliam Fu-Hinthorn
|
7c2a89dbc8 | ||
|
Eugene Yurtsev
|
34b23fce06 | ||
|
Vadym Barda
|
4633364e8e | ||
|
William FH
|
23c1957812 | ||
|
William FH
|
90b8b4d745 | ||
|
William FH
|
45957cc72a | ||
|
|
d5da547850 | ||
|
Riya Sinha
|
61798d09d2 | ||
|
Nuno Campos
|
4685dc103a | ||
|
Nuno Campos
|
e5b4cd2701 | ||
|
David Duong
|
debfd85ff8 | ||
|
Tat Dat Duong
|
24f21a0ad8 | ||
|
David Duong
|
b5138cd8f9 | ||
|
Tat Dat Duong
|
05f645b87c | ||
|
Tat Dat Duong
|
9ff5715961 | ||
|
William FH
|
b42a31fdae | ||
|
William FH
|
57727be9db | ||
|
William FH
|
05dbc1d498 | ||
|
Vadym BardaandWilliam Fu-Hinthorn
|
b35fe5864d | ||
|
Andrew Nguonly
|
db3271ace5 | ||
|
Vadym BardaandWilliam Fu-Hinthorn
|
bacf92c441 | ||
|
Andrew Nguonly
|
c847f7df4e | ||
|
Vadym Barda
|
c2dc498b1c | ||
|
Andrew Nguonly
|
c2171f4a20 | ||
|
William FH
|
d8d4714a73 | ||
|
William FH
|
018e9ac42e | ||
|
Brace Sproul
|
f9afd3c215 | ||
|
Eugene Yurtsev
|
ac7903b3dc | ||
|
Eugene Yurtsev
|
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|
bracesproul
|
92e75aac17 | ||
|
bracesproul
|
3e8be7fd79 | ||
|
Vadym Barda
|
99fd0eedbd | ||
|
William FHandvbarda
|
f55586ea23 | ||
|
Vadym Barda
|
055b2ae74f | ||
|
Isaac Francisco
|
c39e08ec8e | ||
|
William FH
|
c74aba8cc5 | ||
|
Eugene Yurtsev
|
d683630094 | ||
|
Vadym Barda
|
86edf631e3 | ||
|
Vadym Barda
|
93c22fbdde | ||
|
Eugene Yurtsev
|
7f95d7de42 | ||
|
Eugene Yurtsev
|
1a4f375226 | ||
|
William FH
|
6c0da426c6 | ||
|
William FH
|
7ede237508 | ||
|
Jacob Lee
|
fb382c20f7 | ||
|
Vadym Barda
|
9821638965 | ||
|
Vadym Barda
|
e48d9d3c38 | ||
|
Vadym Barda
|
7ecc672e61 | ||
|
Vadym Barda
|
7efd3c726e | ||
|
Eugene Yurtsev
|
74b36adb18 | ||
|
Eugene Yurtsev
|
2f7da90a38 | ||
|
William FH
|
a3cb9c1a94 | ||
|
Vadym Barda
|
e0fd95b22a | ||
|
William FH
|
db87642a10 | ||
|
William FH
|
cf67acb699 | ||
|
Lance Martin
|
36be928791 | ||
|
Brace Sproul
|
702b5949d9 | ||
|
Brace Sproul
|
267485f3e6 | ||
|
William FH
|
5c3ac5d16d | ||
|
Vadym Barda
|
db6f8a53b6 | ||
|
Lance MartinandChester Curme
|
98d1f27471 | ||
|
bracesproul
|
79cded748d | ||
|
Brace Sproul
|
c08dd2f71c | ||
|
bracesproul
|
7dbb5ce98f | ||
|
Brace Sproul
|
813aadeb47 | ||
|
Vadym Barda
|
4a45f6c99a | ||
|
bracesproul
|
38a3e11c9f | ||
|
bracesproul
|
8486c9d413 | ||
|
Vadym Barda
|
00662ab557 | ||
|
Brace Sproul
|
db4191b89e | ||
|
bracesproul
|
45bf27bafe | ||
|
Brace Sproul
|
11d636ff83 | ||
|
Vadym Barda
|
78c9c15b14 | ||
|
Vadym Barda
|
46b52b2426 | ||
|
Eugene Yurtsev
|
674180ad0c | ||
|
Vadym Barda
|
71efff7cee | ||
|
William FH
|
dd88ac6224 | ||
|
Nuno Campos
|
53c2e4d8c2 | ||
|
Eugene Yurtsev
|
70b0032191 | ||
|
William FH
|
445b795037 | ||
|
William FH
|
29f58fd9e5 | ||
|
Vadym Barda
|
716d23e269 | ||
|
Vadym Barda
|
a9df3a3515 | ||
|
Vadym Barda
|
da935e7805 | ||
|
Andrew Nguonly
|
6d1d705b84 | ||
|
William FH
|
97f79fc66b | ||
|
Isaac Francisco
|
17dc1108a3 | ||
|
Eugene Yurtsev
|
d29747906d | ||
|
Vadym Barda
|
cb8db211c2 | ||
|
Isaac Francisco
|
865436529e | ||
|
Vadym Barda
|
3c9441c039 | ||
|
Vadym Barda
|
7071817155 | ||
|
William Fu-Hinthorn
|
4fca814d3a | ||
|
William Fu-Hinthorn
|
d309c36388 | ||
|
William FH
|
9ad617bb7a | ||
|
Vadym Barda
|
78f3ee9cae | ||
|
William FH
|
e332869a0c | ||
|
William Fu-Hinthorn
|
f064a5969d | ||
|
David Duong
|
f6f3f85d03 | ||
|
David Duong
|
a69c58bfe9 | ||
|
Tat Dat Duong
|
d69bc78a25 | ||
|
Nuno Campos
|
904904c419 | ||
|
Nuno Campos
|
7fba675e8a | ||
|
Nuno Campos
|
620cffd62d | ||
|
Tat Dat Duong
|
005a9a33cb | ||
|
Tat Dat Duong
|
a8556bf2b8 | ||
|
Tat Dat Duong
|
a8a99688bf | ||
|
Nuno Campos
|
b1a4243055 | ||
|
David Duong
|
ab47768bfd | ||
|
Tat Dat Duong
|
53525141a2 | ||
|
Tat Dat Duong
|
10b6227304 | ||
|
Dan Siwiec
|
748c92e59c | ||
|
Tat Dat Duong
|
358603b31d | ||
|
Nuno Campos
|
946e2a831e | ||
|
Andrew Nguonly
|
b0b7b681ba | ||
|
Vadym Barda
|
03be3b6567 | ||
|
Isaac Franciscoandvbarda
|
98f5df4f6f | ||
|
Vadym Barda
|
ea0418334b | ||
|
Andrew Nguonly
|
ec55fc2147 | ||
|
Vadym Barda
|
a319727a9e | ||
|
Isaac Francisco
|
a2db3879cd | ||
|
Vadym Barda
|
bf19dc7d08 | ||
|
David Duong
|
75d309a52f | ||
|
Tat Dat Duong
|
80f12c8f5c | ||
|
Tat Dat Duong
|
be44d0cfb6 | ||
|
Vadym Bardaandccurme
|
947c74c10d | ||
|
Tat Dat Duong
|
e4a4889b6d | ||
|
Tat Dat Duong
|
f1c6e13e96 | ||
|
Tat Dat Duong
|
51be5b6ac3 | ||
|
Nuno Campos
|
509e2d2207 | ||
|
vbarda
|
4271afeb42 | ||
|
Vadym Barda
|
29a03309c9 | ||
|
William FH
|
fe7e7b9121 | ||
|
Vadym Barda
|
72c5bc35cd | ||
|
Lance Martin
|
c5b9845216 | ||
|
Vadym Barda
|
942dfa841e | ||
|
Andrew Nguonly
|
c3cbf2eb0d | ||
|
David Duong
|
f337d5d9f8 | ||
|
Nuno Campos
|
f05b546299 | ||
|
Nuno Campos
|
f1711a127a | ||
|
Nuno Campos
|
72edec5be2 | ||
|
Nuno Campos
|
67d907eb1c | ||
|
Isaac FranciscoandLance Martin
|
042653207f | ||
|
Tat Dat Duong
|
68fb04bb0c | ||
|
Vadym Barda
|
6c171e2838 | ||
|
Vadym Barda
|
6136eb7471 | ||
|
David Duong
|
206420d4cc | ||
|
Tat Dat Duong
|
a3be376453 | ||
|
Nuno Campos
|
44afec9da7 | ||
|
vbarda
|
cc8ea9e608 | ||
|
Lance Martin
|
88335ea405 | ||
|
Nuno Campos
|
15823c78eb | ||
|
Nuno Campos
|
30ed61479e | ||
|
Yuxuan1998
|
e909cb6815 | ||
|
Nuno Campos
|
dfa874aaf6 | ||
|
Nuno Campos
|
247e2bae8d | ||
|
Nuno Campos
|
26eca4a42f | ||
|
Nuno Campos
|
2f7826ed79 | ||
|
Nuno Campos
|
8205c85383 | ||
|
Vadym Barda
|
5235ad08ec | ||
|
Vadym Barda
|
37948b3348 | ||
|
Nuno Campos
|
bb5ff42bcd | ||
|
Nuno Campos
|
beea3beb48 | ||
|
Nuno Campos
|
58aaffb6bf | ||
|
Vadym Barda
|
ae2185a431 | ||
|
vbarda
|
985f1b1e26 | ||
|
Lance Martin
|
e1a33360e0 | ||
|
Vadym Barda
|
c8265a21cd | ||
|
vbarda
|
2d741c7cbf | ||
|
vbarda
|
81c10a5f8e | ||
|
vbarda
|
142db1f020 | ||
|
vbarda
|
6fd6ef43f6 | ||
|
vbarda
|
7f3c6e3d2f | ||
|
vbarda
|
7233b06c2b | ||
|
vbarda
|
a73484d336 | ||
|
vbarda
|
a52f397db8 | ||
|
vbarda
|
a161a9ca97 | ||
|
vbarda
|
422ed92aef |
No files matched your search
@@ -7,35 +7,29 @@ body:
|
||||
value: >
|
||||
Thank you for taking the time to file a bug report.
|
||||
|
||||
Use this to report bugs in LangChain.
|
||||
|
||||
If you're not certain that your issue is due to a bug in LangChain, please use [GitHub Discussions](https://github.com/langchain-ai/langchain/discussions)
|
||||
to ask for help with your issue.
|
||||
Use this to report BUGS in LangGraph. For usage questions, feature requests and general design questions, please use [GitHub Discussions](https://github.com/langchain-ai/langgraph/discussions).
|
||||
|
||||
Relevant links to check before filing a bug report to see if your issue has already been reported, fixed or
|
||||
if there's another way to solve your problem:
|
||||
|
||||
[LangGraph documentation](https://langchain-ai.github.io/langgraph/).
|
||||
[LangGraph Github Discussions](https://github.com/langchain-ai/langgraph/discussions),
|
||||
[LangGraph Github Issues](https://github.com/langchain-ai/langgraph/issues),
|
||||
[LangGraph how-to guides](https://langchain-ai.github.io/langgraph/how-tos/).
|
||||
[LangChain documentation with the integrated search](https://python.langchain.com/docs/get_started/introduction),
|
||||
[GitHub search](https://github.com/langchain-ai/langgraph),
|
||||
[LangChain Github Discussions](https://github.com/langchain-ai/langgraph/discussions),
|
||||
[LangChain Github Issues](https://github.com/langchain-ai/langgraph/issues),
|
||||
[LangChain ChatBot](https://chat.langchain.com/)
|
||||
- type: checkboxes
|
||||
id: checks
|
||||
attributes:
|
||||
label: Checked other resources
|
||||
description: Please confirm and check all the following options.
|
||||
description: Before submitting this issue, please confirm that you have completed all the steps below by checking each option. These steps help ensure your issue is well-defined, relevant, and actionable.
|
||||
options:
|
||||
- label: I added a very descriptive title to this issue.
|
||||
- label: This is a bug, not a usage question. For questions, please use GitHub Discussions.
|
||||
required: true
|
||||
- label: I searched the [LangGraph](https://langchain-ai.github.io/langgraph/)/LangChain documentation with the integrated search.
|
||||
- label: I added a clear and detailed title that summarizes the issue.
|
||||
required: true
|
||||
- label: I used the GitHub search to find a similar question and didn't find it.
|
||||
- label: I read what a minimal reproducible example is (https://stackoverflow.com/help/minimal-reproducible-example).
|
||||
required: true
|
||||
- label: I am sure that this is a bug in LangGraph/LangChain rather than my code.
|
||||
required: true
|
||||
- label: I am sure this is better as an issue [rather than a GitHub discussion](https://github.com/langchain-ai/langgraph/discussions/new/choose), since this is a LangGraph bug and not a design question.
|
||||
- label: I included a self-contained, minimal example that demonstrates the issue INCLUDING all the relevant imports. The code run AS IS to reproduce the issue.
|
||||
required: true
|
||||
- type: textarea
|
||||
id: reproduction
|
||||
@@ -45,14 +39,6 @@ body:
|
||||
label: Example Code
|
||||
description: |
|
||||
Please add a self-contained, [minimal, reproducible, example](https://stackoverflow.com/help/minimal-reproducible-example) with your use case.
|
||||
|
||||
If a maintainer can copy it, run it, and see it right away, there's a much higher chance that you'll be able to get help.
|
||||
|
||||
**Important!**
|
||||
|
||||
* Reduce your code to the minimum required to reproduce the issue if possible. This makes it much easier for others to help you.
|
||||
* Avoid screenshots when possible, as they are hard to read and (more importantly) don't allow others to copy-and-paste your code.
|
||||
|
||||
placeholder: |
|
||||
from langgraph.graph import StateGraph
|
||||
|
||||
@@ -92,25 +78,8 @@ body:
|
||||
attributes:
|
||||
label: System Info
|
||||
description: |
|
||||
Please share your system info with us.
|
||||
|
||||
"pip freeze | grep langchain"
|
||||
platform (windows / linux / mac)
|
||||
python version
|
||||
|
||||
OR if you're on a recent version of langchain-core you can paste the output of:
|
||||
|
||||
python -m langchain_core.sys_info
|
||||
placeholder: |
|
||||
"pip freeze | grep langgraph"
|
||||
platform
|
||||
python version
|
||||
|
||||
Alternatively, if you're on a recent version of langchain-core you can paste the output of:
|
||||
|
||||
python -m langchain_core.sys_info
|
||||
|
||||
These will only surface LangChain packages, don't forget to include any other relevant
|
||||
packages you're using (if you're not sure what's relevant, you can paste the entire output of `pip freeze`).
|
||||
validations:
|
||||
required: true
|
||||
@@ -0,0 +1,64 @@
|
||||
import ast
|
||||
import os
|
||||
from itertools import filterfalse
|
||||
from typing import List, Tuple
|
||||
|
||||
ROOT_PATH = os.path.abspath(os.path.join(__file__, "..", "..", ".."))
|
||||
CLIENT_PATH = os.path.join(ROOT_PATH, "libs", "sdk-py", "langgraph_sdk", "client.py")
|
||||
|
||||
|
||||
def get_class_methods(node: ast.ClassDef) -> List[str]:
|
||||
return [n.name for n in node.body if isinstance(n, (ast.FunctionDef, ast.AsyncFunctionDef))]
|
||||
|
||||
|
||||
def find_classes(tree: ast.AST) -> List[Tuple[str, List[str]]]:
|
||||
classes = []
|
||||
for node in ast.walk(tree):
|
||||
if isinstance(node, ast.ClassDef):
|
||||
methods = get_class_methods(node)
|
||||
classes.append((node.name, methods))
|
||||
return classes
|
||||
|
||||
|
||||
def compare_sync_async_methods(sync_methods: List[str], async_methods: List[str]) -> List[str]:
|
||||
sync_set = set(sync_methods)
|
||||
async_set = set(async_methods)
|
||||
missing_in_sync = list(async_set - sync_set)
|
||||
missing_in_async = list(sync_set - async_set)
|
||||
return missing_in_sync + missing_in_async
|
||||
|
||||
|
||||
def main():
|
||||
with open(CLIENT_PATH, "r") as file:
|
||||
tree = ast.parse(file.read())
|
||||
|
||||
classes = find_classes(tree)
|
||||
|
||||
def is_sync(class_spec: Tuple[str, List[str]]) -> bool:
|
||||
return class_spec[0].startswith("Sync")
|
||||
|
||||
sync_class_name_to_methods = {class_name: class_methods for class_name, class_methods in filter(is_sync, classes)}
|
||||
async_class_name_to_methods = {class_name: class_methods for class_name, class_methods in filterfalse(is_sync, classes)}
|
||||
|
||||
mismatches = []
|
||||
|
||||
for async_class_name, async_class_methods in async_class_name_to_methods.items():
|
||||
sync_class_name = "Sync" + async_class_name
|
||||
sync_class_methods = sync_class_name_to_methods.get(sync_class_name, [])
|
||||
diff = compare_sync_async_methods(sync_class_methods, async_class_methods)
|
||||
if diff:
|
||||
mismatches.append((sync_class_name, async_class_name, diff))
|
||||
|
||||
if mismatches:
|
||||
error_message = "Mismatches found between sync and async client methods:\n"
|
||||
for sync_class_name, async_class_name, diff in mismatches:
|
||||
error_message += f"{sync_class_name} vs {async_class_name}:\n"
|
||||
for method in diff:
|
||||
error_message += f" - {method}\n"
|
||||
raise ValueError(error_message)
|
||||
|
||||
print("All sync and async client methods match.")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -0,0 +1,115 @@
|
||||
import asyncio
|
||||
import json
|
||||
import os
|
||||
import pathlib
|
||||
import sys
|
||||
import langgraph_cli
|
||||
import langgraph_cli.docker
|
||||
import langgraph_cli.config
|
||||
|
||||
from langgraph_cli.exec import Runner, subp_exec
|
||||
from langgraph_cli.progress import Progress
|
||||
from langgraph_cli.constants import DEFAULT_PORT
|
||||
|
||||
|
||||
def test(
|
||||
config: pathlib.Path,
|
||||
port: int,
|
||||
tag: str,
|
||||
verbose: bool,
|
||||
):
|
||||
with Runner() as runner, Progress(message="Pulling...") as set:
|
||||
# check docker available
|
||||
capabilities = langgraph_cli.docker.check_capabilities(runner)
|
||||
# open config
|
||||
config_json = langgraph_cli.config.validate_config_file(config)
|
||||
|
||||
set("Running...")
|
||||
args = [
|
||||
"run",
|
||||
"--rm",
|
||||
"-p",
|
||||
f"{port}:8000",
|
||||
]
|
||||
if isinstance(config_json["env"], str):
|
||||
args.extend(
|
||||
[
|
||||
"--env-file",
|
||||
str(config.parent / config_json["env"]),
|
||||
]
|
||||
)
|
||||
else:
|
||||
for k, v in config_json["env"].items():
|
||||
args.extend(
|
||||
[
|
||||
"-e",
|
||||
f"{k}={v}",
|
||||
]
|
||||
)
|
||||
if capabilities.healthcheck_start_interval:
|
||||
args.extend(
|
||||
[
|
||||
"--health-interval",
|
||||
"5s",
|
||||
"--health-retries",
|
||||
"1",
|
||||
"--health-start-period",
|
||||
"10s",
|
||||
"--health-start-interval",
|
||||
"1s",
|
||||
]
|
||||
)
|
||||
else:
|
||||
args.extend(
|
||||
[
|
||||
"--health-interval",
|
||||
"5s",
|
||||
"--health-retries",
|
||||
"2",
|
||||
]
|
||||
)
|
||||
|
||||
_task = None
|
||||
|
||||
def on_stdout(line: str):
|
||||
nonlocal _task
|
||||
if "GET /ok" in line or "Uvicorn running on" in line:
|
||||
set("")
|
||||
sys.stdout.write(
|
||||
f"""Ready!
|
||||
- API: http://localhost:{port}
|
||||
"""
|
||||
)
|
||||
sys.stdout.flush()
|
||||
_task.cancel()
|
||||
return True
|
||||
return False
|
||||
|
||||
async def subp_exec_task(*args, **kwargs):
|
||||
nonlocal _task
|
||||
_task = asyncio.create_task(subp_exec(*args, **kwargs))
|
||||
await _task
|
||||
|
||||
try:
|
||||
runner.run(
|
||||
subp_exec_task(
|
||||
"docker",
|
||||
*args,
|
||||
tag,
|
||||
verbose=verbose,
|
||||
on_stdout=on_stdout,
|
||||
)
|
||||
)
|
||||
except asyncio.CancelledError:
|
||||
pass
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
import argparse
|
||||
|
||||
parser = argparse.ArgumentParser()
|
||||
parser.add_argument("-t", "--tag", type=str)
|
||||
parser.add_argument("-c", "--config", type=str, default="./langgraph.json")
|
||||
parser.add_argument("-p", "--port", default=DEFAULT_PORT)
|
||||
args = parser.parse_args()
|
||||
test(pathlib.Path(args.config), args.port, args.tag, verbose=True)
|
||||
@@ -39,22 +39,36 @@ jobs:
|
||||
- name: Install cli globally
|
||||
if: steps.changed-files.outputs.all
|
||||
run: pip install -e .
|
||||
- name: Start service A
|
||||
- name: Build and test service A
|
||||
if: steps.changed-files.outputs.all
|
||||
working-directory: libs/cli/examples
|
||||
run: |
|
||||
timeout 60 langgraph test -c examples/langgraph.json --verbose || (exit "$(($? == 124 ? 0 : $?))")
|
||||
- name: Start service B
|
||||
# The build-arg isn't used; just testing that we accept other args
|
||||
langgraph build -t langgraph-test-a --base-image "langchain/langgraph-trial"
|
||||
cp .env.example .envg
|
||||
timeout 60 python ../../../.github/scripts/run_langgraph_cli_test.py -c langgraph.json -t langgraph-test-a
|
||||
- name: Build and test service B
|
||||
if: steps.changed-files.outputs.all
|
||||
working-directory: libs/cli/examples/graphs
|
||||
run: |
|
||||
timeout 60 langgraph test --verbose || (exit "$(($? == 124 ? 0 : $?))")
|
||||
- name: Start service C
|
||||
langgraph build -t langgraph-test-b --base-image "langchain/langgraph-trial"
|
||||
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-b
|
||||
- name: Build and test service C
|
||||
if: steps.changed-files.outputs.all
|
||||
working-directory: libs/cli/examples/graphs_reqs_a
|
||||
run: |
|
||||
timeout 60 langgraph test --verbose || (exit "$(($? == 124 ? 0 : $?))")
|
||||
- name: Start service D
|
||||
langgraph build -t langgraph-test-c --base-image "langchain/langgraph-trial"
|
||||
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-c
|
||||
- name: Build and test service D
|
||||
if: steps.changed-files.outputs.all
|
||||
working-directory: libs/cli/examples/graphs_reqs_b
|
||||
run: |
|
||||
timeout 60 langgraph test --verbose || (exit "$(($? == 124 ? 0 : $?))")
|
||||
langgraph build -t langgraph-test-d --base-image "langchain/langgraph-trial"
|
||||
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-d
|
||||
|
||||
- name: Build JS service
|
||||
if: steps.changed-files.outputs.all
|
||||
working-directory: libs/cli/js-examples
|
||||
run: |
|
||||
langgraph build -t langgraph-test-e
|
||||
|
||||
@@ -42,7 +42,6 @@ jobs:
|
||||
with:
|
||||
python-version: ${{ matrix.python-version }}
|
||||
poetry-version: ${{ env.POETRY_VERSION }}
|
||||
working-directory: ${{ inputs.working-directory }}
|
||||
cache-key: lint-${{ inputs.working-directory }}
|
||||
|
||||
- name: Check Poetry File
|
||||
|
||||
@@ -21,6 +21,7 @@ jobs:
|
||||
- "3.10"
|
||||
- "3.11"
|
||||
- "3.12"
|
||||
- "3.13"
|
||||
|
||||
name: "test #${{ matrix.python-version }}"
|
||||
steps:
|
||||
@@ -30,8 +31,13 @@ jobs:
|
||||
with:
|
||||
python-version: ${{ matrix.python-version }}
|
||||
poetry-version: ${{ env.POETRY_VERSION }}
|
||||
working-directory: ${{ inputs.working-directory }}
|
||||
cache-key: test-${{ inputs.working-directory }}
|
||||
- name: Login to Docker Hub
|
||||
uses: docker/login-action@v3
|
||||
if: ${{ !github.event.pull_request.head.repo.fork }}
|
||||
with:
|
||||
username: ${{ secrets.DOCKERHUB_USERNAME }}
|
||||
password: ${{ secrets.DOCKERHUB_RO_TOKEN }}
|
||||
|
||||
- name: Install dependencies
|
||||
shell: bash
|
||||
|
||||
@@ -16,14 +16,22 @@ jobs:
|
||||
- "3.10"
|
||||
- "3.11"
|
||||
- "3.12"
|
||||
- "3.13"
|
||||
core-version:
|
||||
- ">=0.2.39,<0.3.0"
|
||||
- "latest"
|
||||
ff-send-v2:
|
||||
- "false"
|
||||
include:
|
||||
- python-version: "3.11"
|
||||
core-version: ">=0.2.42,<0.3.0"
|
||||
- python-version: "3.11"
|
||||
core-version: "latest"
|
||||
ff-send-v2: "true"
|
||||
|
||||
defaults:
|
||||
run:
|
||||
working-directory: libs/langgraph
|
||||
name: "test #${{ matrix.python-version }} (langchain-core: ${{ matrix.core-version }})"
|
||||
name: "test #${{ matrix.python-version }} (langchain-core: ${{ matrix.core-version }}, ff-send-v2: ${{ matrix.ff-send-v2 }})"
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
- name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
|
||||
@@ -32,6 +40,12 @@ jobs:
|
||||
python-version: ${{ matrix.python-version }}
|
||||
poetry-version: ${{ env.POETRY_VERSION }}
|
||||
cache-key: test-langgraph
|
||||
- name: Login to Docker Hub
|
||||
uses: docker/login-action@v3
|
||||
if: ${{ !github.event.pull_request.head.repo.fork }}
|
||||
with:
|
||||
username: ${{ secrets.DOCKERHUB_USERNAME }}
|
||||
password: ${{ secrets.DOCKERHUB_RO_TOKEN }}
|
||||
|
||||
- name: Install dependencies
|
||||
shell: bash
|
||||
@@ -43,8 +57,10 @@ jobs:
|
||||
|
||||
- name: Run tests
|
||||
shell: bash
|
||||
env:
|
||||
LANGGRAPH_FF_SEND_V2: ${{ matrix.ff-send-v2 }}
|
||||
run: |
|
||||
make test
|
||||
make test_parallel
|
||||
|
||||
- name: Ensure the tests did not create any additional files
|
||||
shell: bash
|
||||
|
||||
@@ -29,7 +29,6 @@ jobs:
|
||||
with:
|
||||
python-version: ${{ env.PYTHON_VERSION }}
|
||||
poetry-version: ${{ env.POETRY_VERSION }}
|
||||
working-directory: ${{ inputs.working-directory }}
|
||||
cache-key: release
|
||||
|
||||
# We want to keep this build stage *separate* from the release stage,
|
||||
@@ -93,3 +92,5 @@ jobs:
|
||||
# This is *only for CI use* and is *extremely dangerous* otherwise!
|
||||
# https://github.com/pypa/gh-action-pypi-publish#tolerating-release-package-file-duplicates
|
||||
skip-existing: true
|
||||
# Temp workaround since attestations are on by default as of gh-action-pypi-publish v1.11.0
|
||||
attestations: false
|
||||
@@ -27,6 +27,12 @@ jobs:
|
||||
python-version: ${{ matrix.python-version }}
|
||||
poetry-version: ${{ env.POETRY_VERSION }}
|
||||
cache-key: test-scheduler-kafka
|
||||
- name: Login to Docker Hub
|
||||
uses: docker/login-action@v3
|
||||
if: ${{ !github.event.pull_request.head.repo.fork }}
|
||||
with:
|
||||
username: ${{ secrets.DOCKERHUB_USERNAME }}
|
||||
password: ${{ secrets.DOCKERHUB_RO_TOKEN }}
|
||||
|
||||
- name: Install dependencies
|
||||
shell: bash
|
||||
|
||||
@@ -31,6 +31,7 @@ jobs:
|
||||
"libs/cli",
|
||||
"libs/checkpoint",
|
||||
"libs/checkpoint-sqlite",
|
||||
"libs/checkpoint-duckdb",
|
||||
"libs/checkpoint-postgres",
|
||||
"libs/scheduler-kafka",
|
||||
]
|
||||
@@ -47,6 +48,7 @@ jobs:
|
||||
"libs/cli",
|
||||
"libs/checkpoint",
|
||||
"libs/checkpoint-sqlite",
|
||||
"libs/checkpoint-duckdb",
|
||||
"libs/checkpoint-postgres"
|
||||
]
|
||||
uses: ./.github/workflows/_test.yml
|
||||
@@ -66,6 +68,18 @@ jobs:
|
||||
uses: ./.github/workflows/_test_scheduler_kafka.yml
|
||||
secrets: inherit
|
||||
|
||||
check-sdk-methods:
|
||||
name: "Check SDK methods matching"
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: '3.11'
|
||||
- name: Run check_sdk_methods script
|
||||
run: python .github/scripts/check_sdk_methods.py
|
||||
|
||||
integration-test:
|
||||
name: CLI integration test
|
||||
uses: ./.github/workflows/_integration_test.yml
|
||||
|
||||
@@ -22,8 +22,30 @@ concurrency:
|
||||
cancel-in-progress: false
|
||||
|
||||
jobs:
|
||||
deploy:
|
||||
get-changed-files:
|
||||
runs-on: ubuntu-latest
|
||||
outputs:
|
||||
changed-files: ${{ steps.changed-files.outputs.added_modified }}
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
- name: Get changed files
|
||||
id: changed-files
|
||||
uses: Ana06/get-changed-files@v2.3.0
|
||||
with:
|
||||
filter: "docs/docs/**"
|
||||
|
||||
run-changed-notebooks:
|
||||
needs: get-changed-files
|
||||
uses: ./.github/workflows/run_notebooks.yml
|
||||
secrets: inherit
|
||||
with:
|
||||
changed-files: ${{ needs.get-changed-files.outputs.changed-files }}
|
||||
|
||||
deploy:
|
||||
# needs: run-changed-notebooks
|
||||
runs-on: ubuntu-latest
|
||||
env:
|
||||
GITHUB_TOKEN: ${{ secrets.MKDOCS_GITHUB_TOKEN }}
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
@@ -38,9 +60,19 @@ jobs:
|
||||
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
poetry install --with docs
|
||||
poetry run pip install -U pytest pytest-check-links langsmith langchain GitPython
|
||||
poetry install --with test --no-root
|
||||
poetry run pip install -U \
|
||||
pytest \
|
||||
pytest-check-links \
|
||||
langsmith \
|
||||
langchain \
|
||||
GitPython \
|
||||
"git+https://${GITHUB_TOKEN}@github.com/langchain-ai/mkdocs-material-insiders.git"
|
||||
|
||||
- name: Lint Docs
|
||||
# This step lints the docs using the existing linting set up.
|
||||
# It should be very fast and should not require any external services.
|
||||
run: make lint-docs
|
||||
- name: Build site
|
||||
run: make build-docs
|
||||
env:
|
||||
@@ -56,8 +88,15 @@ jobs:
|
||||
--check-links-ignore "https://(api|web|docs)\.smith\.langchain\.com/.*" \
|
||||
--check-links-ignore "https://x.com/.*" \
|
||||
--check-links-ignore "https://github\.com/.*" \
|
||||
--check-links-ignore "http://localhost:8123/.*" \
|
||||
--check-links-ignore "http://localhost:2024.*" \
|
||||
--check-links-ignore "http://127.0.0.1:.*" \
|
||||
--check-links-ignore "/.*\.(ipynb|html)$" \
|
||||
--check-links $(find docs/site -name "index.html" | grep -v 'storm/index.html')
|
||||
--check-links-ignore "https://python\.langchain\.com/.*" \
|
||||
--check-links-ignore "https://openai\.com/.*" \
|
||||
--check-links-ignore "https://pepy\.tech/.*" \
|
||||
--check-links $(find docs/site -name "index.html" | grep -v 'storm/index.html')
|
||||
|
||||
else
|
||||
echo "Fetching changes from origin/main..."
|
||||
git fetch origin main
|
||||
@@ -68,6 +107,9 @@ jobs:
|
||||
echo "Running link check on HTML files matching changed notebook files..."
|
||||
poetry run pytest -v \
|
||||
--check-links-ignore "https://(api|web|docs)\.smith\.langchain\.com/.*" \
|
||||
--check-links-ignore "http://localhost:8123/.*" \
|
||||
--check-links-ignore "http://localhost:2024.*" \
|
||||
--check-links-ignore "http://127.0.0.1:.*" \
|
||||
--check-links-ignore "https://x.com/.*" \
|
||||
--check-links-ignore "https://github\.com/.*" \
|
||||
--check-links-ignore "/.*\.(ipynb|html)$" \
|
||||
|
||||
@@ -31,7 +31,6 @@ jobs:
|
||||
with:
|
||||
python-version: ${{ env.PYTHON_VERSION }}
|
||||
poetry-version: ${{ env.POETRY_VERSION }}
|
||||
working-directory: ${{ inputs.working-directory }}
|
||||
cache-key: release
|
||||
|
||||
# We want to keep this build stage *separate* from the release stage,
|
||||
@@ -169,7 +168,6 @@ jobs:
|
||||
with:
|
||||
python-version: ${{ env.PYTHON_VERSION }}
|
||||
poetry-version: ${{ env.POETRY_VERSION }}
|
||||
working-directory: ${{ inputs.working-directory }}
|
||||
|
||||
- name: Import published package
|
||||
shell: bash
|
||||
@@ -256,7 +254,6 @@ jobs:
|
||||
with:
|
||||
python-version: ${{ env.PYTHON_VERSION }}
|
||||
poetry-version: ${{ env.POETRY_VERSION }}
|
||||
working-directory: ${{ inputs.working-directory }}
|
||||
cache-key: release
|
||||
|
||||
- uses: actions/download-artifact@v4
|
||||
@@ -270,6 +267,8 @@ jobs:
|
||||
packages-dir: ${{ inputs.working-directory }}/dist/
|
||||
verbose: true
|
||||
print-hash: true
|
||||
# Temp workaround since attestations are on by default as of gh-action-pypi-publish v1.11.0
|
||||
attestations: false
|
||||
|
||||
mark-release:
|
||||
needs:
|
||||
@@ -296,7 +295,6 @@ jobs:
|
||||
with:
|
||||
python-version: ${{ env.PYTHON_VERSION }}
|
||||
poetry-version: ${{ env.POETRY_VERSION }}
|
||||
working-directory: ${{ inputs.working-directory }}
|
||||
cache-key: release
|
||||
|
||||
- uses: actions/download-artifact@v4
|
||||
|
||||
@@ -2,6 +2,12 @@ name: Run notebooks
|
||||
|
||||
on:
|
||||
workflow_dispatch:
|
||||
workflow_call:
|
||||
inputs:
|
||||
changed-files:
|
||||
required: false
|
||||
type: string
|
||||
description: "JSON string of changed files"
|
||||
schedule:
|
||||
- cron: '0 13 * * *'
|
||||
|
||||
@@ -14,7 +20,6 @@ jobs:
|
||||
- "development"
|
||||
- "latest"
|
||||
|
||||
name: "test (langgraph: ${{ matrix.lib-version }})"
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
- name: Set up Python + Poetry
|
||||
@@ -28,15 +33,14 @@ jobs:
|
||||
run: |
|
||||
poetry install --with test
|
||||
poetry run pip install jupyter
|
||||
if [ "${{ matrix.lib-version }}" = "latest" ]; then
|
||||
poetry add chromadb pandas langchain_nomic
|
||||
poetry remove langchain-openai langchain-anthropic langchain-community
|
||||
poetry add langchain-openai@latest langchain-anthropic@latest langchain-community@latest
|
||||
fi
|
||||
|
||||
- name: Start services
|
||||
run: make start-services
|
||||
|
||||
- name: Pre-download tiktoken files
|
||||
run: |
|
||||
poetry run python docs/_scripts/download_tiktoken.py
|
||||
|
||||
- name: Prepare notebooks
|
||||
run: |
|
||||
if [ "${{ matrix.lib-version }}" = "development" ]; then
|
||||
@@ -54,8 +58,21 @@ jobs:
|
||||
TAVILY_API_KEY: ${{ secrets.TAVILY_API_KEY }}
|
||||
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
|
||||
NOMIC_API_KEY: ${{ secrets.NOMIC_API_KEY }}
|
||||
COHERE_API_KEY: ${{ secrets.COHERE_API_KEY }}
|
||||
FIREWORKS_API_KEY: ${{ secrets.FIREWORKS_API_KEY }}
|
||||
run: |
|
||||
./docs/_scripts/execute_notebooks.sh
|
||||
if [ "${{ github.event_name }}" = "workflow_dispatch" ] || [ "${{ github.event_name }}" = "schedule" ]; then
|
||||
echo "Running all notebooks"
|
||||
./docs/_scripts/execute_notebooks.sh
|
||||
else
|
||||
CHANGED_FILES=$(echo '${{ inputs.changed-files }}' | tr ' ' '\n' | grep '\.ipynb$' || true)
|
||||
if [ -n "$CHANGED_FILES" ]; then
|
||||
echo "Running changed notebooks: $CHANGED_FILES"
|
||||
./docs/_scripts/execute_notebooks.sh $CHANGED_FILES
|
||||
else
|
||||
echo "No notebook files changed, skipping execution"
|
||||
fi
|
||||
fi
|
||||
|
||||
- name: Stop services
|
||||
run: make stop-services
|
||||
+1
-1
@@ -49,7 +49,7 @@ gain understanding of concepts and how they interact by showing one way to achie
|
||||
|
||||
They should **avoid** giving
|
||||
multiple permutations of ways to achieve that goal in-depth. Choice is burdensome. Instead, they should guide a new user through a recommended path to accomplishing a concrete goal. While the end result of a tutorial does not necessarily need to
|
||||
be completely production-ready, it should be useful and practically satisfy the the goal that you clearly stated in the tutorial's introduction.
|
||||
be completely production-ready, it should be useful and practically satisfy the goal that you clearly stated in the tutorial's introduction.
|
||||
|
||||
To quote the Diataxis website:
|
||||
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
.PHONY: build-docs serve-docs serve-clean-docs clean-docs codespell build-typedoc
|
||||
.PHONY: lint-docs format-docs build-docs serve-docs serve-clean-docs clean-docs codespell build-typedoc
|
||||
|
||||
build-typedoc:
|
||||
cd libs/sdk-js && yarn install --include-dev && yarn typedoc
|
||||
@@ -13,12 +13,22 @@ serve-clean-docs: clean-docs
|
||||
poetry run python -m mkdocs serve -c -f docs/mkdocs.yml --strict -w ./libs/langgraph
|
||||
|
||||
serve-docs: build-typedoc
|
||||
poetry run python -m mkdocs serve -f docs/mkdocs.yml -w ./libs/langgraph --dirty
|
||||
poetry run python -m mkdocs serve -f docs/mkdocs.yml -w ./libs/langgraph -w ./libs/checkpoint -w ./libs/sdk-py --dirty
|
||||
|
||||
clean-docs:
|
||||
find ./docs/docs -name "*.ipynb" -type f -delete
|
||||
rm -rf docs/site
|
||||
|
||||
## Run format against the project documentation.
|
||||
format-docs:
|
||||
poetry run ruff format docs/docs
|
||||
poetry run ruff check --fix docs/docs
|
||||
|
||||
# Check the docs for linting violations
|
||||
lint-docs:
|
||||
poetry run ruff format --check docs/docs
|
||||
poetry run ruff check docs/docs
|
||||
|
||||
codespell:
|
||||
./docs/codespell_notebooks.sh .
|
||||
|
||||
@@ -26,4 +36,4 @@ start-services:
|
||||
docker compose -f docs/test-compose.yml up -V --force-recreate --wait --remove-orphans
|
||||
|
||||
stop-services:
|
||||
docker compose -f docs/test-compose.yml down
|
||||
docker compose -f docs/test-compose.yml down
|
||||
@@ -8,7 +8,7 @@
|
||||
⚡ Building language agents as graphs ⚡
|
||||
|
||||
> [!NOTE]
|
||||
> Looking for the JS version? Click [here](https://github.com/langchain-ai/langgraphjs) ([JS docs](https://langchain-ai.github.io/langgraphjs/)).
|
||||
> Looking for the JS version? See the [JS repo](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://langchain-ai.github.io/langgraphjs/).
|
||||
|
||||
## Overview
|
||||
|
||||
@@ -16,6 +16,8 @@
|
||||
|
||||
LangGraph is inspired by [Pregel](https://research.google/pubs/pub37252/) and [Apache Beam](https://beam.apache.org/). The public interface draws inspiration from [NetworkX](https://networkx.org/documentation/latest/). LangGraph is built by LangChain Inc, the creators of LangChain, but can be used without LangChain.
|
||||
|
||||
[LangGraph Platform](https://langchain-ai.github.io/langgraph/concepts/langgraph_platform) is infrastructure for deploying LangGraph agents. It is a commercial solution for deploying agentic applications to production, built on the open-source LangGraph framework. The LangGraph Platform consists of several components that work together to support the development, deployment, debugging, and monitoring of LangGraph applications: [LangGraph Server](https://langchain-ai.github.io/langgraph/concepts/langgraph_server) (APIs), [LangGraph SDKs](https://langchain-ai.github.io/langgraph/concepts/sdk) (clients for the APIs), [LangGraph CLI](https://langchain-ai.github.io/langgraph/concepts/langgraph_cli) (command line tool for building the server), [LangGraph Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio) (UI/debugger),
|
||||
|
||||
To learn more about LangGraph, check out our first LangChain Academy course, *Introduction to LangGraph*, available for free [here](https://academy.langchain.com/courses/intro-to-langgraph).
|
||||
|
||||
### Key Features
|
||||
@@ -26,6 +28,16 @@ To learn more about LangGraph, check out our first LangChain Academy course, *In
|
||||
- **Streaming Support**: Stream outputs as they are produced by each node (including token streaming).
|
||||
- **Integration with LangChain**: LangGraph integrates seamlessly with [LangChain](https://github.com/langchain-ai/langchain/) and [LangSmith](https://docs.smith.langchain.com/) (but does not require them).
|
||||
|
||||
### LangGraph Platform
|
||||
|
||||
LangGraph Platform is a commercial solution for deploying agentic applications to production, built on the open-source LangGraph framework.
|
||||
Here are some common issues that arise in complex deployments, which LangGraph Platform addresses:
|
||||
|
||||
- **Streaming support**: LangGraph Server provides [multiple streaming modes](https://langchain-ai.github.io/langgraph/concepts/streaming) optimized for various application needs
|
||||
- **Background runs**: Runs agents asynchronously in the background
|
||||
- **Support for long running agents**: Infrastructure that can handle long running processes
|
||||
- **[Double texting](https://langchain-ai.github.io/langgraph/concepts/double_texting)**: Handle the case where you get two messages from the user before the agent can respond
|
||||
- **Handle burstiness**: Task queue for ensuring requests are handled consistently without loss, even under heavy loads
|
||||
|
||||
## Installation
|
||||
|
||||
@@ -226,7 +238,7 @@ final_state["messages"][-1].content
|
||||
* [How-to Guides](https://langchain-ai.github.io/langgraph/how-tos/): Accomplish specific things within LangGraph, from streaming, to adding memory & persistence, to common design patterns (branching, subgraphs, etc.), these are the place to go if you want to copy and run a specific code snippet.
|
||||
* [Conceptual Guides](https://langchain-ai.github.io/langgraph/concepts/high_level/): In-depth explanations of the key concepts and principles behind LangGraph, such as nodes, edges, state and more.
|
||||
* [API Reference](https://langchain-ai.github.io/langgraph/reference/graphs/): Review important classes and methods, simple examples of how to use the graph and checkpointing APIs, higher-level prebuilt components and more.
|
||||
* [Cloud (beta)](https://langchain-ai.github.io/langgraph/cloud/): With one click, deploy LangGraph applications to LangGraph Cloud.
|
||||
* [LangGraph Platform](https://langchain-ai.github.io/langgraph/concepts/#langgraph-platform): LangGraph Platform is a commercial solution for deploying agentic applications in production, built on the open-source LangGraph framework.
|
||||
|
||||
## Contributing
|
||||
|
||||
|
||||
@@ -0,0 +1,93 @@
|
||||
import functools
|
||||
|
||||
from urllib3 import __version__ as urllib3version # type: ignore[import-untyped]
|
||||
from urllib3 import connection # type: ignore[import-untyped]
|
||||
|
||||
|
||||
def _ensure_str(s, encoding="utf-8", errors="strict") -> str:
|
||||
if isinstance(s, str):
|
||||
return s
|
||||
|
||||
if isinstance(s, bytes):
|
||||
return s.decode(encoding, errors)
|
||||
return str(s)
|
||||
|
||||
|
||||
# Copied from https://github.com/urllib3/urllib3/blob/1c994dfc8c5d5ecaee8ed3eb585d4785f5febf6e/src/urllib3/connection.py#L231
|
||||
def request(self, method, url, body=None, headers=None):
|
||||
"""Make the request.
|
||||
|
||||
This function is based on the urllib3 request method, with modifications
|
||||
to handle potential issues when using vcrpy in concurrent workloads.
|
||||
|
||||
Args:
|
||||
self: The HTTPConnection instance.
|
||||
method (str): The HTTP method (e.g., 'GET', 'POST').
|
||||
url (str): The URL for the request.
|
||||
body (Optional[Any]): The body of the request.
|
||||
headers (Optional[dict]): Headers to send with the request.
|
||||
|
||||
Returns:
|
||||
The result of calling the parent request method.
|
||||
"""
|
||||
# Update the inner socket's timeout value to send the request.
|
||||
# This only triggers if the connection is re-used.
|
||||
if getattr(self, "sock", None) is not None:
|
||||
self.sock.settimeout(self.timeout)
|
||||
|
||||
if headers is None:
|
||||
headers = {}
|
||||
else:
|
||||
# Avoid modifying the headers passed into .request()
|
||||
headers = headers.copy()
|
||||
if "user-agent" not in (_ensure_str(k.lower()) for k in headers):
|
||||
headers["User-Agent"] = connection._get_default_user_agent()
|
||||
# The above is all the same ^^^
|
||||
# The following is different:
|
||||
return self._parent_request(method, url, body=body, headers=headers)
|
||||
|
||||
|
||||
_PATCHED = False
|
||||
|
||||
|
||||
def patch_urllib3():
|
||||
"""Patch the request method of urllib3 to avoid type errors when using vcrpy.
|
||||
|
||||
In concurrent workloads (such as the tracing background queue), the
|
||||
connection pool can get in a state where an HTTPConnection is created
|
||||
before vcrpy patches the HTTPConnection class. In urllib3 >= 2.0 this isn't
|
||||
a problem since they use the proper super().request(...) syntax, but in older
|
||||
versions, super(HTTPConnection, self).request is used, resulting in a TypeError
|
||||
since self is no longer a subclass of "HTTPConnection" (which at this point
|
||||
is vcr.stubs.VCRConnection).
|
||||
|
||||
This method patches the class to fix the super() syntax to avoid mixed inheritance.
|
||||
In the case of the LangSmith tracing logic, it doesn't really matter since we always
|
||||
exclude cache checks for calls to LangSmith.
|
||||
|
||||
The patch is only applied for urllib3 versions older than 2.0.
|
||||
"""
|
||||
global _PATCHED
|
||||
if _PATCHED:
|
||||
return
|
||||
from packaging import version
|
||||
|
||||
if version.parse(urllib3version) >= version.parse("2.0"):
|
||||
_PATCHED = True
|
||||
return
|
||||
|
||||
# Lookup the parent class and its request method
|
||||
parent_class = connection.HTTPConnection.__bases__[0]
|
||||
parent_request = parent_class.request
|
||||
|
||||
def new_request(self, *args, **kwargs):
|
||||
"""Handle parent request.
|
||||
|
||||
This method binds the parent's request method to self and then
|
||||
calls our modified request function.
|
||||
"""
|
||||
self._parent_request = functools.partial(parent_request, self)
|
||||
return request(self, *args, **kwargs)
|
||||
|
||||
connection.HTTPConnection.request = new_request
|
||||
_PATCHED = True
|
||||
@@ -0,0 +1,5 @@
|
||||
import tiktoken
|
||||
|
||||
# This will trigger the download and caching of the necessary files
|
||||
for encoding in ("gpt2", "gpt-3.5"):
|
||||
tiktoken.encoding_for_model(encoding)
|
||||
@@ -8,7 +8,7 @@ execute_notebook() {
|
||||
file="$1"
|
||||
echo "Starting execution of $file"
|
||||
start_time=$(date +%s)
|
||||
if ! output=$(time poetry run jupyter execute --allow-errors "$file" 2>&1); then
|
||||
if ! output=$(time poetry run jupyter execute "$file" 2>&1); then
|
||||
end_time=$(date +%s)
|
||||
execution_time=$((end_time - start_time))
|
||||
echo "Error in $file. Execution time: $execution_time seconds"
|
||||
@@ -22,11 +22,15 @@ execute_notebook() {
|
||||
|
||||
export -f execute_notebook
|
||||
|
||||
# Find all notebooks and filter out those in the skip list
|
||||
notebooks=$(find docs/docs/tutorials docs/docs/how-tos -name "*.ipynb" | grep -v ".ipynb_checkpoints" | grep -vFf <(echo "$SKIP_NOTEBOOKS"))
|
||||
# Check if custom notebook paths are provided
|
||||
if [ $# -gt 0 ]; then
|
||||
notebooks=$(echo "$@" | tr ' ' '\n' | grep -vFf <(echo "$SKIP_NOTEBOOKS"))
|
||||
else
|
||||
# Find all notebooks and filter out those in the skip list
|
||||
notebooks=$(find docs/docs/tutorials docs/docs/how-tos -name "*.ipynb" | grep -v ".ipynb_checkpoints" | grep -vFf <(echo "$SKIP_NOTEBOOKS"))
|
||||
fi
|
||||
|
||||
# Run notebooks in parallel
|
||||
if ! parallel execute_notebook ::: $notebooks; then
|
||||
echo "Errors occurred during notebook execution"
|
||||
exit 1
|
||||
fi
|
||||
# Execute notebooks sequentially
|
||||
for file in $notebooks; do
|
||||
execute_notebook "$file"
|
||||
done
|
||||
@@ -0,0 +1,290 @@
|
||||
import importlib
|
||||
import inspect
|
||||
import logging
|
||||
import os
|
||||
import re
|
||||
from typing import List, Literal, Optional
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
from functools import lru_cache
|
||||
|
||||
import nbformat
|
||||
from nbconvert.preprocessors import Preprocessor
|
||||
|
||||
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
logger = logging.getLogger(__name__)
|
||||
# Base URL for all class documentation
|
||||
_LANGCHAIN_API_REFERENCE = "https://python.langchain.com/api_reference/"
|
||||
_LANGGRAPH_API_REFERENCE = "https://langchain-ai.github.io/langgraph/reference/"
|
||||
|
||||
|
||||
# (alias/re-exported modules, source module, class, docs namespace)
|
||||
MANUAL_API_REFERENCES_LANGGRAPH = [
|
||||
(
|
||||
["langgraph.prebuilt"],
|
||||
"langgraph.prebuilt.chat_agent_executor",
|
||||
"create_react_agent",
|
||||
"prebuilt",
|
||||
),
|
||||
(["langgraph.prebuilt"], "langgraph.prebuilt.tool_node", "ToolNode", "prebuilt"),
|
||||
(
|
||||
["langgraph.prebuilt"],
|
||||
"langgraph.prebuilt.tool_node",
|
||||
"tools_condition",
|
||||
"prebuilt",
|
||||
),
|
||||
(
|
||||
["langgraph.prebuilt"],
|
||||
"langgraph.prebuilt.tool_node",
|
||||
"InjectedState",
|
||||
"prebuilt",
|
||||
),
|
||||
# Graph
|
||||
(["langgraph.graph"], "langgraph.graph.message", "add_messages", "graphs"),
|
||||
(["langgraph.graph"], "langgraph.graph.state", "StateGraph", "graphs"),
|
||||
(["langgraph.graph"], "langgraph.graph.state", "CompiledStateGraph", "graphs"),
|
||||
([], "langgraph.types", "StreamMode", "types"),
|
||||
(["langgraph.graph"], "langgraph.constants", "START", "constants"),
|
||||
(["langgraph.graph"], "langgraph.constants", "END", "constants"),
|
||||
(["langgraph.constants"], "langgraph.types", "Send", "types"),
|
||||
(["langgraph.constants"], "langgraph.types", "Interrupt", "types"),
|
||||
(["langgraph.constants"], "langgraph.types", "interrupt", "types"),
|
||||
(["langgraph.constants"], "langgraph.types", "Command", "types"),
|
||||
([], "langgraph.types", "RetryPolicy", "types"),
|
||||
([], "langgraph.checkpoint.base", "Checkpoint", "checkpoints"),
|
||||
([], "langgraph.checkpoint.base", "CheckpointMetadata", "checkpoints"),
|
||||
([], "langgraph.checkpoint.base", "BaseCheckpointSaver", "checkpoints"),
|
||||
([], "langgraph.checkpoint.base", "SerializerProtocol", "checkpoints"),
|
||||
([], "langgraph.checkpoint.serde.jsonplus", "JsonPlusSerializer", "checkpoints"),
|
||||
([], "langgraph.checkpoint.memory", "MemorySaver", "checkpoints"),
|
||||
([], "langgraph.checkpoint.sqlite.aio", "AsyncSqliteSaver", "checkpoints"),
|
||||
([], "langgraph.checkpoint.sqlite", "SqliteSaver", "checkpoints"),
|
||||
([], "langgraph.checkpoint.postgres.aio", "AsyncPostgresSaver", "checkpoints"),
|
||||
([], "langgraph.checkpoint.postgres", "PostgresSaver", "checkpoints"),
|
||||
]
|
||||
|
||||
WELL_KNOWN_LANGGRAPH_OBJECTS = {
|
||||
(module_, class_): (source_module, namespace)
|
||||
for (modules, source_module, class_, namespace) in MANUAL_API_REFERENCES_LANGGRAPH
|
||||
for module_ in modules + [source_module]
|
||||
}
|
||||
|
||||
|
||||
def _make_regular_expression(pkg_prefix: str) -> re.Pattern:
|
||||
if not pkg_prefix.isidentifier():
|
||||
raise ValueError(f"Invalid package prefix: {pkg_prefix}")
|
||||
return re.compile(
|
||||
r"from\s+(" + pkg_prefix + "(?:_\w+)?(?:\.\w+)*?)\s+import\s+"
|
||||
r"((?:\w+(?:,\s*)?)*" # Match zero or more words separated by a comma+optional ws
|
||||
r"(?:\s*\(.*?\))?)", # Match optional parentheses block
|
||||
re.DOTALL, # Match newlines as well
|
||||
)
|
||||
|
||||
|
||||
# Regular expression to match langchain import lines
|
||||
_IMPORT_LANGCHAIN_RE = _make_regular_expression("langchain")
|
||||
_IMPORT_LANGGRAPH_RE = _make_regular_expression("langgraph")
|
||||
|
||||
|
||||
|
||||
|
||||
@lru_cache(maxsize=10_000)
|
||||
def _get_full_module_name(module_path: str, class_name: str) -> Optional[str]:
|
||||
"""Get full module name using inspect, with LRU cache to memoize results."""
|
||||
try:
|
||||
module = importlib.import_module(module_path)
|
||||
class_ = getattr(module, class_name)
|
||||
module = inspect.getmodule(class_)
|
||||
if module is None:
|
||||
# For constants, inspect.getmodule() might return None
|
||||
# In this case, we'll return the original module_path
|
||||
return module_path
|
||||
return module.__name__
|
||||
except AttributeError as e:
|
||||
logger.warning(f"API Reference: Could not find module for {class_name}, {e}")
|
||||
return None
|
||||
except ImportError as e:
|
||||
logger.warning(f"API Reference: Failed to load for class {class_name}, {e}")
|
||||
return None
|
||||
|
||||
def _get_doc_title(data: str, file_name: str) -> str:
|
||||
try:
|
||||
return re.findall(r"^#\s*(.*)", data, re.MULTILINE)[0]
|
||||
except IndexError:
|
||||
pass
|
||||
# Parse the rst-style titles
|
||||
try:
|
||||
return re.findall(r"^(.*)\n=+\n", data, re.MULTILINE)[0]
|
||||
except IndexError:
|
||||
return file_name
|
||||
|
||||
|
||||
class ImportInformation(TypedDict):
|
||||
imported: str # The name of the class that was imported.
|
||||
source: str # The full module path from which the class was imported.
|
||||
docs: str # The URL pointing to the class's documentation.
|
||||
title: str # The title of the document where the import is used.
|
||||
|
||||
|
||||
def _get_imports(
|
||||
code: str, doc_title: str, package_ecosystem: Literal["langchain", "langgraph"]
|
||||
) -> List[ImportInformation]:
|
||||
"""Get imports from the given code block.
|
||||
|
||||
Args:
|
||||
code: Python code block from which to extract imports
|
||||
doc_title: Title of the document
|
||||
package_ecosystem: "langchain" or "langgraph". The two live in different
|
||||
repositories and have separate documentation sites.
|
||||
|
||||
Returns:
|
||||
List of import information for the given code block
|
||||
"""
|
||||
imports = []
|
||||
|
||||
if package_ecosystem == "langchain":
|
||||
pattern = _IMPORT_LANGCHAIN_RE
|
||||
elif package_ecosystem == "langgraph":
|
||||
pattern = _IMPORT_LANGGRAPH_RE
|
||||
else:
|
||||
raise ValueError(f"Invalid package ecosystem: {package_ecosystem}")
|
||||
|
||||
for import_match in pattern.finditer(code):
|
||||
module = import_match.group(1)
|
||||
if "pydantic_v1" in module:
|
||||
continue
|
||||
imports_str = (
|
||||
import_match.group(2).replace("(\n", "").replace("\n)", "")
|
||||
) # Handle newlines within parentheses
|
||||
# remove any newline and spaces, then split by comma
|
||||
imported_classes = [
|
||||
imp.strip()
|
||||
for imp in re.split(r",\s*", imports_str.replace("\n", ""))
|
||||
if imp.strip()
|
||||
]
|
||||
for class_name in imported_classes:
|
||||
module_path = _get_full_module_name(module, class_name)
|
||||
if not module_path:
|
||||
continue
|
||||
if len(module_path.split(".")) < 2:
|
||||
continue
|
||||
|
||||
if package_ecosystem == "langchain":
|
||||
pkg = module_path.split(".")[0].replace("langchain_", "")
|
||||
top_level_mod = module_path.split(".")[1]
|
||||
|
||||
url = (
|
||||
_LANGCHAIN_API_REFERENCE
|
||||
+ pkg
|
||||
+ "/"
|
||||
+ top_level_mod
|
||||
+ "/"
|
||||
+ module_path
|
||||
+ "."
|
||||
+ class_name
|
||||
+ ".html"
|
||||
)
|
||||
elif package_ecosystem == "langgraph":
|
||||
if (module, class_name) not in WELL_KNOWN_LANGGRAPH_OBJECTS:
|
||||
# Likely not documented yet
|
||||
continue
|
||||
|
||||
source_module, namespace = WELL_KNOWN_LANGGRAPH_OBJECTS[
|
||||
(module, class_name)
|
||||
]
|
||||
url = (
|
||||
_LANGGRAPH_API_REFERENCE
|
||||
+ namespace
|
||||
+ "/#"
|
||||
+ source_module
|
||||
+ "."
|
||||
+ class_name
|
||||
)
|
||||
else:
|
||||
raise ValueError(f"Invalid package ecosystem: {package_ecosystem}")
|
||||
|
||||
# Add the import information to our list
|
||||
imports.append(
|
||||
{
|
||||
"imported": class_name,
|
||||
"source": module,
|
||||
"docs": url,
|
||||
"title": doc_title,
|
||||
}
|
||||
)
|
||||
|
||||
return imports
|
||||
|
||||
|
||||
def get_imports(code: str, doc_title: str) -> List[ImportInformation]:
|
||||
"""Retrieve all import references from the given code for specified ecosystems.
|
||||
|
||||
Args:
|
||||
code: The source code from which to extract import references.
|
||||
doc_title: The documentation title associated with the code.
|
||||
|
||||
Returns:
|
||||
A list of import information for each import found.
|
||||
"""
|
||||
ecosystems = ["langchain", "langgraph"]
|
||||
all_imports = []
|
||||
for package_ecosystem in ecosystems:
|
||||
all_imports.extend(_get_imports(code, doc_title, package_ecosystem))
|
||||
return all_imports
|
||||
|
||||
|
||||
def update_markdown_with_imports(markdown: str) -> str:
|
||||
"""Update markdown to include API reference links for imports in Python code blocks.
|
||||
|
||||
This function scans the markdown content for Python code blocks, extracts any imports, and appends links to their API documentation.
|
||||
|
||||
Args:
|
||||
markdown: The markdown content to process.
|
||||
|
||||
Returns:
|
||||
Updated markdown with API reference links appended to Python code blocks.
|
||||
|
||||
Example:
|
||||
Given a markdown with a Python code block:
|
||||
|
||||
```python
|
||||
from langchain.nlp import TextGenerator
|
||||
```
|
||||
This function will append an API reference link to the `TextGenerator` class from the `langchain.nlp` module if it's recognized.
|
||||
"""
|
||||
code_block_pattern = re.compile(
|
||||
r'(?P<indent>[ \t]*)```(?P<language>python|py)\n(?P<code>.*?)\n(?P=indent)```', re.DOTALL
|
||||
)
|
||||
|
||||
def replace_code_block(match: re.Match) -> str:
|
||||
"""Replace the matched code block with additional API reference links if imports are found.
|
||||
|
||||
Args:
|
||||
match (re.Match): The regex match object containing the code block.
|
||||
|
||||
Returns:
|
||||
str: The modified code block with API reference links appended if applicable.
|
||||
"""
|
||||
indent = match.group('indent')
|
||||
code_block = match.group('code')
|
||||
language = match.group('language') # Preserve the language from the regex match
|
||||
# Retrieve import information from the code block
|
||||
imports = get_imports(code_block, "__unused__")
|
||||
|
||||
original_code_block = match.group(0)
|
||||
# If no imports are found, return the original code block
|
||||
if not imports:
|
||||
return original_code_block
|
||||
|
||||
# Generate API reference links for each import
|
||||
api_links = ' | '.join(
|
||||
f'<a href="{imp["docs"]}">{imp["imported"]}</a>' for imp in imports
|
||||
)
|
||||
# Return the code block with appended API reference links
|
||||
return f'{original_code_block}\n\n{indent}API Reference: {api_links}'
|
||||
|
||||
# Apply the replace_code_block function to all matches in the markdown
|
||||
updated_markdown = code_block_pattern.sub(replace_code_block, markdown)
|
||||
return updated_markdown
|
||||
@@ -0,0 +1,123 @@
|
||||
import os
|
||||
import re
|
||||
from pathlib import Path
|
||||
|
||||
import nbformat
|
||||
from nbconvert.exporters import MarkdownExporter
|
||||
from nbconvert.preprocessors import Preprocessor
|
||||
|
||||
|
||||
class EscapePreprocessor(Preprocessor):
|
||||
def preprocess_cell(self, cell, resources, cell_index):
|
||||
if cell.cell_type == "markdown":
|
||||
# rewrite markdown links to html links (excluding image links)
|
||||
cell.source = re.sub(
|
||||
r"(?<!!)\[([^\]]*)\]\((?![^\)]*//)([^)]*)(?:\.ipynb)?\)",
|
||||
r'<a href="\2">\1</a>',
|
||||
cell.source,
|
||||
)
|
||||
# Fix image paths in <img> tags
|
||||
cell.source = re.sub(
|
||||
r'<img\s+src="\.?/img/([^"]+)"', r'<img src="../img/\1"', cell.source
|
||||
)
|
||||
|
||||
elif cell.cell_type == "code":
|
||||
# escape ``` in code
|
||||
cell.source = cell.source.replace("```", r"\`\`\`")
|
||||
# escape ``` in output
|
||||
if "outputs" in cell:
|
||||
filter_out = set()
|
||||
for i, output in enumerate(cell["outputs"]):
|
||||
if "text" in output:
|
||||
if not output["text"].strip():
|
||||
filter_out.add(i)
|
||||
continue
|
||||
|
||||
value = output["text"].replace("```", r"\`\`\`")
|
||||
# handle a funky case w/ references in text
|
||||
value = re.sub(r"\[(\d+)\](?=\[(\d+)\])", r"[\1]\\", value)
|
||||
output["text"] = value
|
||||
elif "data" in output:
|
||||
for key, value in output["data"].items():
|
||||
if isinstance(value, str):
|
||||
value = value.replace("```", r"\`\`\`")
|
||||
# handle a funky case w/ references in text
|
||||
output["data"][key] = re.sub(
|
||||
r"\[(\d+)\](?=\[(\d+)\])", r"[\1]\\", value
|
||||
)
|
||||
cell["outputs"] = [
|
||||
output
|
||||
for i, output in enumerate(cell["outputs"])
|
||||
if i not in filter_out
|
||||
]
|
||||
|
||||
return cell, resources
|
||||
|
||||
|
||||
class ExtractAttachmentsPreprocessor(Preprocessor):
|
||||
"""
|
||||
Extracts all of the outputs from the notebook file. The extracted
|
||||
outputs are returned in the 'resources' dictionary.
|
||||
"""
|
||||
|
||||
def preprocess_cell(self, cell, resources, cell_index):
|
||||
"""
|
||||
Apply a transformation on each cell,
|
||||
Parameters
|
||||
----------
|
||||
cell : NotebookNode cell
|
||||
Notebook cell being processed
|
||||
resources : dictionary
|
||||
Additional resources used in the conversion process. Allows
|
||||
preprocessors to pass variables into the Jinja engine.
|
||||
cell_index : int
|
||||
Index of the cell being processed (see base.py)
|
||||
"""
|
||||
|
||||
# Get files directory if it has been specified
|
||||
|
||||
# Make sure outputs key exists
|
||||
if not isinstance(resources["outputs"], dict):
|
||||
resources["outputs"] = {}
|
||||
|
||||
# Loop through all of the attachments in the cell
|
||||
for name, attach in cell.get("attachments", {}).items():
|
||||
for mime, data in attach.items():
|
||||
if mime not in {
|
||||
"image/png",
|
||||
"image/jpeg",
|
||||
"image/svg+xml",
|
||||
"application/pdf",
|
||||
}:
|
||||
continue
|
||||
|
||||
# attachments are pre-rendered. Only replace markdown-formatted
|
||||
# images with the following logic
|
||||
attach_str = f"({name})"
|
||||
if attach_str in cell.source:
|
||||
data = f"(data:{mime};base64,{data})"
|
||||
cell.source = cell.source.replace(attach_str, data)
|
||||
|
||||
return cell, resources
|
||||
|
||||
|
||||
exporter = MarkdownExporter(
|
||||
preprocessors=[
|
||||
EscapePreprocessor,
|
||||
ExtractAttachmentsPreprocessor,
|
||||
],
|
||||
template_name="mdoutput",
|
||||
extra_template_basedirs=[
|
||||
os.path.join(os.path.dirname(__file__), "notebook_convert_templates")
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
def convert_notebook(
|
||||
notebook_path: Path,
|
||||
) -> Path:
|
||||
with open(notebook_path) as f:
|
||||
nb = nbformat.read(f, as_version=4)
|
||||
|
||||
body, _ = exporter.from_notebook_node(nb)
|
||||
return body
|
||||
@@ -0,0 +1,5 @@
|
||||
{
|
||||
"mimetypes": {
|
||||
"text/markdown": true
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,33 @@
|
||||
{% extends 'markdown/index.md.j2' %}
|
||||
|
||||
{%- block traceback_line -%}
|
||||
```output
|
||||
{{ line.rstrip() | strip_ansi }}
|
||||
```
|
||||
{%- endblock traceback_line -%}
|
||||
|
||||
{%- block stream -%}
|
||||
```output
|
||||
{{ output.text.rstrip() }}
|
||||
```
|
||||
{%- endblock stream -%}
|
||||
|
||||
{%- block data_text scoped -%}
|
||||
```output
|
||||
{{ output.data['text/plain'].rstrip() }}
|
||||
```
|
||||
{%- endblock data_text -%}
|
||||
|
||||
{%- block data_html scoped -%}
|
||||
```html
|
||||
{{ output.data['text/html'] | safe }}
|
||||
```
|
||||
{%- endblock data_html -%}
|
||||
|
||||
{%- block data_jpg scoped -%}
|
||||
|
||||
{%- endblock data_jpg -%}
|
||||
|
||||
{%- block data_png scoped -%}
|
||||
|
||||
{%- endblock data_png -%}
|
||||
@@ -0,0 +1,120 @@
|
||||
import logging
|
||||
import os
|
||||
import re
|
||||
from typing import Any, Dict
|
||||
|
||||
from mkdocs.structure.files import Files, File
|
||||
from mkdocs.structure.pages import Page
|
||||
|
||||
from notebook_convert import convert_notebook
|
||||
from generate_api_reference_links import update_markdown_with_imports
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
logging.basicConfig()
|
||||
logger.setLevel(logging.INFO)
|
||||
DISABLED = os.getenv("DISABLE_NOTEBOOK_CONVERT") in ("1", "true", "True")
|
||||
|
||||
|
||||
class NotebookFile(File):
|
||||
def is_documentation_page(self):
|
||||
return True
|
||||
|
||||
|
||||
def on_files(files: Files, **kwargs: Dict[str, Any]):
|
||||
if DISABLED:
|
||||
return files
|
||||
new_files = Files([])
|
||||
for file in files:
|
||||
if file.src_path.endswith(".ipynb"):
|
||||
new_file = NotebookFile(
|
||||
path=file.src_path,
|
||||
src_dir=file.src_dir,
|
||||
dest_dir=file.dest_dir,
|
||||
use_directory_urls=file.use_directory_urls,
|
||||
)
|
||||
new_files.append(new_file)
|
||||
else:
|
||||
new_files.append(file)
|
||||
return new_files
|
||||
|
||||
|
||||
def _highlight_code_blocks(markdown: str) -> str:
|
||||
"""Find code blocks with highlight comments and add hl_lines attribute.
|
||||
|
||||
Args:
|
||||
markdown: The markdown content to process.
|
||||
|
||||
Returns:
|
||||
updated Markdown code with code blocks containing highlight comments
|
||||
updated to use the hl_lines attribute.
|
||||
"""
|
||||
# Pattern to find code blocks with highlight comments and without
|
||||
# existing hl_lines for Python and JavaScript
|
||||
# Pattern to find code blocks with highlight comments, handling optional indentation
|
||||
code_block_pattern = re.compile(
|
||||
r"(?P<indent>[ \t]*)```(?P<language>py|python|js|javascript)(?!\s+hl_lines=)\n"
|
||||
r"(?P<code>((?:.*\n)*?))" # Capture the code inside the block using named group
|
||||
r"(?P=indent)```" # Match closing backticks with the same indentation
|
||||
)
|
||||
|
||||
def replace_highlight_comments(match: re.Match) -> str:
|
||||
indent = match.group("indent")
|
||||
language = match.group("language")
|
||||
code_block = match.group("code")
|
||||
lines = code_block.split("\n")
|
||||
highlighted_lines = []
|
||||
|
||||
# Skip initial empty lines
|
||||
while lines and not lines[0].strip():
|
||||
lines.pop(0)
|
||||
|
||||
lines_to_keep = []
|
||||
|
||||
comment_syntax = (
|
||||
"# highlight-next-line"
|
||||
if language in ["py", "python"]
|
||||
else "// highlight-next-line"
|
||||
)
|
||||
|
||||
for line in lines:
|
||||
if comment_syntax in line:
|
||||
count = len(lines_to_keep) + 1
|
||||
highlighted_lines.append(str(count))
|
||||
else:
|
||||
lines_to_keep.append(line)
|
||||
|
||||
# Reconstruct the new code block
|
||||
new_code_block = "\n".join(lines_to_keep)
|
||||
|
||||
if highlighted_lines:
|
||||
return (
|
||||
f'{indent}```{language} hl_lines="{" ".join(highlighted_lines)}"\n'
|
||||
# The indent and terminating \n is already included in the code block
|
||||
f'{new_code_block}'
|
||||
f'{indent}```'
|
||||
)
|
||||
else:
|
||||
return (
|
||||
f"{indent}```{language}\n"
|
||||
# The indent and terminating \n is already included in the code block
|
||||
f"{new_code_block}"
|
||||
f"{indent}```"
|
||||
)
|
||||
|
||||
# Replace all code blocks in the markdown
|
||||
markdown = code_block_pattern.sub(replace_highlight_comments, markdown)
|
||||
return markdown
|
||||
|
||||
|
||||
def on_page_markdown(markdown: str, page: Page, **kwargs: Dict[str, Any]):
|
||||
if DISABLED:
|
||||
return markdown
|
||||
if page.file.src_path.endswith(".ipynb"):
|
||||
logger.info("Processing Jupyter notebook: %s", page.file.src_path)
|
||||
markdown = convert_notebook(page.file.abs_src_path)
|
||||
|
||||
# Append API reference links to code blocks
|
||||
markdown = update_markdown_with_imports(markdown)
|
||||
# Apply highlight comments to code blocks
|
||||
markdown = _highlight_code_blocks(markdown)
|
||||
return markdown
|
||||
@@ -11,14 +11,41 @@ NOTEBOOK_DIRS = ("docs/docs/how-tos","docs/docs/tutorials")
|
||||
DOCS_PATH = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
|
||||
CASSETTES_PATH = os.path.join(DOCS_PATH, "cassettes")
|
||||
|
||||
BLOCKLIST_COMMANDS = (
|
||||
# skip if has WebBaseLoader to avoid caching web pages
|
||||
"WebBaseLoader",
|
||||
# skip if has draw_mermaid_png to avoid generating mermaid images via API
|
||||
"draw_mermaid_png",
|
||||
)
|
||||
|
||||
NOTEBOOKS_NO_CASSETTES = (
|
||||
"docs/docs/how-tos/visualization.ipynb",
|
||||
"docs/docs/how-tos/many-tools.ipynb"
|
||||
)
|
||||
|
||||
NOTEBOOKS_NO_EXECUTION = [
|
||||
"docs/docs/tutorials/customer-support/customer-support.ipynb",
|
||||
# this uses a user provided project name for langsmith
|
||||
"docs/docs/tutorials/tnt-llm/tnt-llm.ipynb",
|
||||
# this uses langsmith datasets
|
||||
"docs/docs/tutorials/chatbot-simulation-evaluation/langsmith-agent-simulation-evaluation.ipynb",
|
||||
# this uses browser APIs
|
||||
"docs/docs/tutorials/web-navigation/web_voyager.ipynb",
|
||||
# these RAG guides use an ollama model
|
||||
"docs/docs/tutorials/rag/langgraph_adaptive_rag_local.ipynb",
|
||||
"docs/docs/tutorials/rag/langgraph_crag_local.ipynb",
|
||||
"docs/docs/tutorials/rag/langgraph_self_rag_local.ipynb",
|
||||
# this loads a massive dataset from gcp
|
||||
"docs/docs/tutorials/usaco/usaco.ipynb",
|
||||
# TODO: figure out why autogen notebook is not runnable (they are just hanging. possible due to code execution?)
|
||||
"docs/docs/how-tos/autogen-integration.ipynb",
|
||||
# TODO: need to update these notebooks to make sure they are runnable in CI
|
||||
"docs/docs/tutorials/storm/storm.ipynb", # issues only when running with VCR
|
||||
"docs/docs/tutorials/lats/lats.ipynb", # issues only when running with VCR
|
||||
"docs/docs/tutorials/rag/langgraph_crag.ipynb", # flakiness from tavily
|
||||
"docs/docs/tutorials/rag/langgraph_adaptive_rag.ipynb", # Cannot create a consistent method resolution error from VCR
|
||||
"docs/docs/how-tos/map-reduce.ipynb", # flakiness from structured output, only when running with VCR
|
||||
"docs/docs/tutorials/tot/tot.ipynb",
|
||||
"docs/docs/how-tos/visualization.ipynb"
|
||||
]
|
||||
|
||||
|
||||
@@ -45,11 +72,23 @@ def is_comment(code: str) -> bool:
|
||||
return code.strip().startswith("#")
|
||||
|
||||
|
||||
def has_blocklisted_command(code: str, metadata: dict) -> bool:
|
||||
if 'hide_from_vcr' in metadata:
|
||||
return True
|
||||
|
||||
code = code.strip()
|
||||
for blocklisted_pattern in BLOCKLIST_COMMANDS:
|
||||
if blocklisted_pattern in code:
|
||||
return True
|
||||
return False
|
||||
|
||||
|
||||
def add_vcr_to_notebook(
|
||||
notebook: nbformat.NotebookNode, cassette_prefix: str
|
||||
) -> nbformat.NotebookNode:
|
||||
"""Inject `with vcr.cassette` into each code cell of the notebook."""
|
||||
|
||||
uses_langsmith = False
|
||||
# Inject VCR context manager into each code cell
|
||||
for idx, cell in enumerate(notebook.cells):
|
||||
if cell.cell_type != "code":
|
||||
@@ -75,21 +114,28 @@ def add_vcr_to_notebook(
|
||||
if all(is_comment(line) or not line.strip() for line in lines):
|
||||
continue
|
||||
|
||||
if has_blocklisted_command(cell.source, cell.metadata):
|
||||
continue
|
||||
|
||||
cell_id = cell.get("id", idx)
|
||||
cassette_name = f"{cassette_prefix}_{cell_id}.msgpack.zlib"
|
||||
cell.source = f"with custom_vcr.use_cassette('{cassette_name}', filter_headers=['x-api-key', 'authorization'], record_mode='once', serializer='advanced_compressed'):\n" + "\n".join(
|
||||
f" {line}" for line in lines
|
||||
)
|
||||
|
||||
if any("hub.pull" in line or "from langsmith import" in line for line in lines):
|
||||
uses_langsmith = True
|
||||
|
||||
# Add import statement
|
||||
vcr_import_lines = [
|
||||
"import nest_asyncio",
|
||||
"nest_asyncio.apply()",
|
||||
"import vcr",
|
||||
"import msgpack",
|
||||
"import nest_asyncio",
|
||||
"import base64",
|
||||
"import zlib",
|
||||
"import re",
|
||||
"",
|
||||
"import os",
|
||||
"os.environ.pop(\"LANGCHAIN_TRACING_V2\", None)",
|
||||
"custom_vcr = vcr.VCR()",
|
||||
"",
|
||||
"def compress_data(data, compression_level=9):",
|
||||
@@ -98,50 +144,29 @@ def add_vcr_to_notebook(
|
||||
" return base64.b64encode(compressed).decode('utf-8')",
|
||||
"",
|
||||
"def decompress_data(compressed_string):",
|
||||
" try:",
|
||||
" decoded = base64.b64decode(compressed_string)",
|
||||
" decompressed = zlib.decompress(decoded)",
|
||||
" return msgpack.unpackb(decompressed, raw=False)",
|
||||
" except (ValueError, zlib.error, msgpack.exceptions.ExtraData, msgpack.exceptions.UnpackValueError):",
|
||||
" return {\"requests\": [], \"responses\": []}",
|
||||
"",
|
||||
"def filter_cassette_data(cassette_dict):",
|
||||
" for interaction in cassette_dict['interactions']:",
|
||||
" if len(interaction['response']['body']['string']) > 1000:",
|
||||
" interaction['response']['body']['string'] = interaction['response']['body']['string'][:1000] + '... (truncated)'",
|
||||
" for req_or_res in [interaction['request'], interaction['response']]:",
|
||||
" headers_to_remove = ['date', 'server', 'content-length']",
|
||||
" for header in headers_to_remove:",
|
||||
" req_or_res['headers'].pop(header, None)",
|
||||
" return cassette_dict",
|
||||
" decoded = base64.b64decode(compressed_string)",
|
||||
" decompressed = zlib.decompress(decoded)",
|
||||
" return msgpack.unpackb(decompressed, raw=False)",
|
||||
"",
|
||||
"class AdvancedCompressedSerializer:",
|
||||
" def serialize(self, cassette_dict):",
|
||||
" filtered_dict = filter_cassette_data(cassette_dict)",
|
||||
" return compress_data(filtered_dict)",
|
||||
" return compress_data(cassette_dict)",
|
||||
"",
|
||||
" def deserialize(self, cassette_string):",
|
||||
" return decompress_data(cassette_string)",
|
||||
"",
|
||||
"custom_vcr.register_serializer('advanced_compressed', AdvancedCompressedSerializer())",
|
||||
"",
|
||||
"def custom_matcher(r1, r2):",
|
||||
" return (r1.method == r2.method and",
|
||||
" r1.url == r2.url and",
|
||||
" normalize_body(r1.body) == normalize_body(r2.body))",
|
||||
"",
|
||||
"def normalize_body(body):",
|
||||
" return re.sub(r'\\s+', '', body.lower()) if body else ''",
|
||||
"",
|
||||
"nest_asyncio.apply()",
|
||||
"",
|
||||
"custom_vcr.serializer = 'advanced_compressed'",
|
||||
"custom_vcr.record_mode = 'new_episodes'",
|
||||
"custom_vcr.match_on = ['custom']",
|
||||
"custom_vcr.register_matcher('custom', custom_matcher)",
|
||||
"custom_vcr.filter_headers = ['authorization', 'user-agent', 'date', 'server']",
|
||||
"custom_vcr.filter_post_data_parameters = ['password', 'token']",
|
||||
]
|
||||
if uses_langsmith:
|
||||
vcr_import_lines.extend(
|
||||
# patch urllib3 to handle vcr errors, see more here:
|
||||
# https://github.com/langchain-ai/langsmith-sdk/blob/main/python/langsmith/_internal/_patch.py
|
||||
"import sys",
|
||||
f"sys.path.insert(0, '{os.path.join(DOCS_PATH, '_scripts')}')",
|
||||
"import _patch as patch_urllib3",
|
||||
"patch_urllib3.patch_urllib3()",
|
||||
)
|
||||
import_cell = nbformat.v4.new_code_cell(source="\n".join(vcr_import_lines))
|
||||
import_cell.pop("id", None)
|
||||
notebook.cells.insert(0, import_cell)
|
||||
|
||||
@@ -1 +1 @@
|
||||
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
|
||||
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 truncated
|
||||
@@ -1 +1 @@
|
||||
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ine truncated
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ine truncated
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@@ -1 +1 @@
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ine truncated
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@@ -1 +1 @@
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|
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ine truncated
|
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@@ -1 +1 @@
|
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|
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ine truncated
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@@ -1 +1 @@
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|
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ine truncated
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@@ -1 +1 @@
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+1
-1
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truncated
|
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+1
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|
||||
+1
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@@ -1 +1 @@
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-1
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ine truncated
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ine truncated
|
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@@ -0,0 +1 @@
|
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|
||||
+1
@@ -0,0 +1 @@
|
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ine truncated
|
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+1
-1
@@ -1 +1 @@
|
||||
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|
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@@ -1 +1 @@
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ine truncated
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@@ -1 +1 @@
|
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ine truncated
|
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|
||||
@@ -0,0 +1 @@
|
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ine truncated
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@@ -1 +1 @@
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ine truncated
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ine truncated
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|
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ine truncated
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ine truncated
|
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@@ -1 +1 @@
|
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ine truncated
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|
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ine truncated
|
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@@ -1 +1 @@
|
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|
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|
||||
@@ -1 +1 @@
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|
||||
+1
-1
@@ -1 +1 @@
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ine truncated
|
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|
||||
+1
@@ -0,0 +1 @@
|
||||
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|
||||
+1
-1
@@ -1 +1 @@
|
||||
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ine truncated
|
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|
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+1
-1
@@ -1 +1 @@
|
||||
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ine truncated
|
||||
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|
||||
@@ -1 +1 @@
|
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|
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|
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ine truncated
|
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|
||||
@@ -0,0 +1 @@
|
||||
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ine truncated
|
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+1
@@ -0,0 +1 @@
|
||||
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ine truncated
|
||||
+1
@@ -0,0 +1 @@
|
||||
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truncated
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+1
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ine truncated
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ine truncated
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ine 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ine truncated
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@@ -0,0 +1 @@
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ine truncated
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@@ -1 +1 @@
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truncated
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|
||||
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truncated
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@@ -1 +1 @@
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|
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@@ -0,0 +1 @@
|
||||
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ine truncated
|
||||
@@ -1 +1 @@
|
||||
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ine truncated
|
||||
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|
||||
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ine truncated
|
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+1
-1
@@ -1 +1 @@
|
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ine truncated
|
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ine truncated
|
||||
+1
-1
@@ -1 +1 @@
|
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ine truncated
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@@ -0,0 +1 @@
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truncated
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+1
@@ -0,0 +1 @@
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ine truncated
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@@ -1 +1 @@
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ine truncated
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ine truncated
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@@ -1 +1 @@
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|
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@@ -0,0 +1 @@
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ine truncated
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