Key | Value |
---|---|
FileName | ./usr/lib/python2.7/site-packages/snowballstemmer/arabic_stemmer.pyo |
FileSize | 31208 |
MD5 | D6D21624A32E3568EE34F77EEE38559F |
SHA-1 | 170B4A49ACE51F756666F05E997E70A1E1A949FA |
SHA-256 | 8A3775DC66001AEDB8B49E18124E9F11FDDB307D52B7D6568D6E16BADB5BD44E |
SSDEEP | 768:VubAsglCog8s9iz4FfixaS1Hpfk3L2fOk:VubAcbA4FfixaS1Hpfk3L2fOk |
TLSH | T1CDE2FD0163E90B97F6F571B8B0E03495AE3AF0622F0A63416EBDD436E6C57A9D037385 |
hashlookup:parent-total | 2 |
hashlookup:trust | 60 |
The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
MD5 | 338A707C8C4BB9A25FB71B54838F7A48 |
PackageArch | noarch |
PackageDescription | This package provides 16 stemmer algorithms (15 + Poerter English stemmer) generated from Snowball algorithms. It includes following language algorithms: Danish, Dutch, English (Standard, Porter), Finnish, French, German, Hungarian, Italian, Norwegian, Portuguese, Romanian, Russian, Spanish, Swedish, Turkish. This is a pure Python stemming library. If PyStemmer is available, this module uses it to accelerate. |
PackageName | python2-snowballstemmer |
PackageRelease | lp151.1.2 |
PackageVersion | 1.9.1 |
SHA-1 | 309C72271F5484084BB839DCBBC4C6324D378878 |
SHA-256 | 2E67F6713466C19E3B966C8E3BF487E24D033FD462DC9C220909FA575DCAA235 |
Key | Value |
---|---|
MD5 | 0E38E9AA6EE24533E1118C4ED53905F1 |
PackageArch | noarch |
PackageDescription | This package provides 16 stemmer algorithms (15 + Poerter English stemmer) generated from Snowball algorithms. It includes following language algorithms: Danish, Dutch, English (Standard, Porter), Finnish, French, German, Hungarian, Italian, Norwegian, Portuguese, Romanian, Russian, Spanish, Swedish, Turkish. This is a pure Python stemming library. If PyStemmer is available, this module uses it to accelerate. |
PackageName | python2-snowballstemmer |
PackageRelease | 1.31 |
PackageVersion | 1.9.1 |
SHA-1 | 376AAE8D5CD8C39029FB23BE91B4ECF047D1A946 |
SHA-256 | 0E7F5B7F942F500ADEFCF89AAC5DE54F85FE5BF60A54771D5360E15C019F30D3 |