Key | Value |
---|---|
MD5 | 56D9AA93CD8861EDD533C7F0DA98CD56 |
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 | python3-snowballstemmer |
PackageRelease | 1.31 |
PackageVersion | 1.9.1 |
SHA-1 | F27484066D234ED7C40EFED3433B6E5EBCF54632 |
SHA-256 | 65750BAC2FAE932C75F0C4B213EB258E79C90DADC839B22D91F9CF50E218E897 |
hashlookup:children-total | 82 |
hashlookup:trust | 50 |
The searched file hash includes 82 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib/python3.6/site-packages/snowballstemmer/__pycache__/french_stemmer.cpython-36.pyc |
FileSize | 18614 |
MD5 | C61BF37D107820952585BA9564C751C7 |
SHA-1 | 0212958254BCA00055CE24BF31499862C2B01F7D |
SHA-256 | 5D20AAFFC31E95E5ABC6A2C3F0FD27FA5FCAC3D61773372DC70E2EF04DFC0E70 |
SSDEEP | 384:JxLXys/O8r62uU1w2w0gzn7H3s0UPLJOn4WR3AV9UN1RFPc46+xjvDR1KMSGLFvK:JxL+gF1w2w0AXnjR3ALejvDR1KM1LFvK |
TLSH | T1638235F79662AD97FC62FBF2108D03DCCCAA62FB47684CAA4611D3491C402D874D79D9 |
Key | Value |
---|---|
FileName | snap-hashlookup-import/usr/lib/python3/dist-packages/snowballstemmer/__init__.py |
FileSize | 2447 |
MD5 | F5FCC037852D90C27B6F844DC3F43439 |
SHA-1 | 02D2F5CEF480B9C896FBF77C6B091B0625FBE7AB |
SHA-256 | 132185AE37CFE777579B2832249FBC3B65EF1B8DED4C911B026445A702249399 |
SHA-512 | D31A6B765EE5F47A3E44A3D431BE1DA78602F72969FEA71F650B87CDF7BC0F48A43C5D3EB8C75BF938B85020B05108E7EAE5AC56CD1F15C6FB9DBCCB300EE01A |
SSDEEP | 48:4qj8u928p2/IOmarxEFjXl3OLDODO3K3OJSdKuP:Uu92mkmarS1XlEHsP |
TLSH | T1F551D48E9027317703E8CC8F085D89E12E1655A31D80AC1575EEC7738FDAE2889774BD |
insert-timestamp | 1728230972.5853982 |
mimetype | text/x-python |
source | snap:wi1tEI3kwM36KAKtEfkd6gP7c9u6HGT6_37 |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/lib/python3.6/site-packages/snowballstemmer/__pycache__/dutch_stemmer.cpython-36.pyc |
FileSize | 9834 |
MD5 | 065DD77E8172DE69F6B4F0682D2801A7 |
SHA-1 | 076AFF4E185144DD57837C3F8ED9EA0EDD02F80F |
SHA-256 | 9C158B7CB475651BE0F987D3D307E1C46392BA4A549247392827E8191DC61611 |
SSDEEP | 192:qOEQYO8D+nJmrmMe4itFyheVTSn7+2EcVJTsLH8+bSAXzv7C27EKYjvJaLY7Po8x:VEQYO8SJmrmFLDH9I7+aVs78+Gwv7C2+ |
TLSH | T17F1241A3AE135DABFCA5F3F304CA47DCC8A5B2B79B9584E70044D64A0D402D87CE6D95 |
Key | Value |
---|---|
FileName | ./usr/lib/python3.6/site-packages/snowballstemmer/__pycache__/porter_stemmer.cpython-36.opt-1.pyc |
FileSize | 12476 |
MD5 | A39B842B122962A6920FBD2E574BD263 |
SHA-1 | 08A9695D0B5DB35A516ED77F09A6EFE8B9587820 |
SHA-256 | 13383198F67F89B97E961616EE408D0AA9BD9C2713CEC3E4DA7A770C7DE5D857 |
SSDEEP | 384:/4vEO8v5wUAX08qm5phh3JT43NQ83VTh0QSYdJ/8+0sI:/4vBoHSTTeWIG |
TLSH | T1974230FA57436F2FFC36F2F1048747A549BA863ED388D2A95805D28A4C413E82DA3D49 |
Key | Value |
---|---|
FileName | ./usr/lib/python3.6/site-packages/snowballstemmer/__pycache__/turkish_stemmer.cpython-36.pyc |
FileSize | 39887 |
MD5 | 3E91B9280CAD911BAEBFBCA44DAB4B66 |
SHA-1 | 0B4749C8BF22DCEE27511597906E08D4E1CD9B2B |
SHA-256 | 6848B740965C0A09130523B4F255D029CD8610B8BB3C2592034637E32EB5489E |
SSDEEP | 768:qEYPUlpVD8jHXNVlkUNqZb+v8eOxOxDP0SS8:qEYPUl/DCWaqZbUPOxOxDZl |
TLSH | T1540331A752324DFBFCA6F3F1398587D948D8A3B9BBA448564401B39D0C862F835D2CC6 |
Key | Value |
---|---|
FileName | ./usr/lib/python3.8/site-packages/snowballstemmer/italian_stemmer.py |
FileSize | 33264 |
MD5 | 55475B6667E956F4934E9E73005A6A8D |
SHA-1 | 0D918288E44CE15C4C46A3F50DF66DF7613172B3 |
SHA-256 | 52EAB7CA7A9AA09B25C4E200ED46EF57303F3FB7A8821E9C336112AA638D5F71 |
SSDEEP | 384:iO8mlcsjCpHLAWJ4T9GxYDBiMzQEFKjRRFjoaiqLxL0LbLVuqTZVYaa29tg/9uFc:fAFwnhJltwRAv7qqEcW/7UTY |
TLSH | T10DE28D443401946DB5B3CC7BAAEBEC874A767877444C3439BCBDA6026F4C36865B8CA9 |
Key | Value |
---|---|
FileName | ./usr/lib/python3.6/site-packages/snowballstemmer/__pycache__/hungarian_stemmer.cpython-36.pyc |
FileSize | 12320 |
MD5 | 71E6BD99B4A3EDA20EC202D68063979B |
SHA-1 | 10CC001C1F478DAADD62DCD79B95E82AEB8120AA |
SHA-256 | C969083365AEB34E51E53B8F50F2E6770D04B2D2F5F523AD27CA7CAA4C9216D6 |
SSDEEP | 384:JTtND4yO8yfW5dUZQBgQJgWT95/f1+ZMawsjtttfa2:Ff8va5dnjQL |
TLSH | T1D142CAF1920F9ADEFD92F2B5024442969CF6333597C99CB6A01BF35B0D442F81A67A4C |
Key | Value |
---|---|
FileName | ./usr/lib/python3.6/site-packages/snowballstemmer/__pycache__/catalan_stemmer.cpython-36.opt-1.pyc |
FileSize | 20357 |
MD5 | CA6825C959993EBFE313C0AB56DA3DB1 |
SHA-1 | 143F5377E0155797A7E62D0DCAA17FA4C5506C32 |
SHA-256 | CD8658D6DA0DE138F8060EB8C51A647FB6F965340DD0993C74991ABA0D31817D |
SSDEEP | 384:wzYVS75RjTw713cO87/ZnCBY7AhR49QFfAC4oascfDz:UaSFe713Zs0dSfDz |
TLSH | T160921CF081DB6BCABA97F16C80418664493F3F7DCBB0D8559608D6A258022FDF2635DE |
Key | Value |
---|---|
FileName | ./usr/lib/python3.6/site-packages/snowballstemmer/__pycache__/spanish_stemmer.cpython-36.opt-1.pyc |
FileSize | 16599 |
MD5 | 0D805B68AEC715A3177EB21442CA43EA |
SHA-1 | 146ED9B0988979F5CA5C547FC1CED5FCF90A5BB5 |
SHA-256 | BFCE451F100350FAF0DBD272FBB8D314C6561B5C938C630D9F8262A6BB6BA7FD |
SSDEEP | 384:R03TZsO8QlQMVmqqCg/cA1nLe+f5xgwZ77QAyKaWiez0LZ:R03XlmqqCEcA1VfUw1Qs0V |
TLSH | T1B572CBF6521B6E9BFC96F2B210C667944C663AF9D608CCD5C121D3DB2C432DD2CAB948 |
Key | Value |
---|---|
FileName | ./usr/lib/python3.8/site-packages/snowballstemmer/portuguese_stemmer.py |
FileSize | 30174 |
MD5 | 32849ED6C390907ADB7C85264255D195 |
SHA-1 | 152A10BAA7CA1142C10566846342A6718DF5F843 |
SHA-256 | F463EB64605E9CC3E1326F490AE9DA4A12FD57C4E48BAF4DCD96BF8094DB93CB |
SSDEEP | 384:zO8k92R2V2qZapXeT9ukDHvIdYw6bgyaUETP/kz0DLMka15taWyuMI05dB+OKW2I:auHfrfeM/iiH1AZRI |
TLSH | T10ED2CE403400946CA5B3AC7B9AEBEC8746697837448C7479FCFDA6123F4C368657CCA9 |