Key | Value |
---|---|
CRC32 | 4CE57D3C |
FileName | libtextcat-2.2.tar.gz |
FileSize | 540999 |
MD5 | 128CFC86ED5953E57FE0F5AE98B62C2E |
OpSystemCode | {'MfgCode': '1006', 'OpSystemCode': '362', 'OpSystemName': 'TBD', 'OpSystemVersion': 'none'} |
ProductCode | {'ApplicationType': 'Operating System', 'Language': 'English', 'MfgCode': '369', 'OpSystemCode': '814', 'ProductCode': '17732', 'ProductName': 'PCLinuxOS Issue 81', 'ProductVersion': 'July 2006'} |
RDS:package_id | 17732 |
SHA-1 | E98D7149D6A20FDBB58CC0B79CB5E3F95AE304E4 |
SHA-256 | 5677BADFFC48A8D332E345EA4FE225E3577F53FC95DEEEC8306000B256829655 |
SSDEEP | 12288:yKwHFEHGMnopxeL6XjJRzHAnOI8x0E7810TQhATBs3aDs:SHmHQpsepgnnMz4QBsAs |
SpecialCode | |
TLSH | T13FB42344200479EEA8D644AC77046D08F8AF157725FC1E396D51BA84A1FFF132AAE2F7 |
db | nsrl_legacy |
insert-timestamp | 1648752892.4799652 |
source | RDS_2022.03.1_legacy.db |
hashlookup:parent-total | 5 |
hashlookup:trust | 75 |
The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
MD5 | D58EB100952793D3E27F2F8C52535EA6 |
PackageArch | sparc64 |
PackageDescription | Libtextcat is a library with functions that implement the classification technique described in Cavnar & Trenkle, "N-Gram-Based Text Categorization". It was primarily developed for language guessing, a task on which it is known to perform with near-perfect accuracy. |
PackageMaintainer | Fedora Project |
PackageName | libtextcat |
PackageRelease | 10.fc12 |
PackageVersion | 2.2 |
SHA-1 | DAD21F5846A51A99D5412AC455E51B739C4D9624 |
SHA-256 | 0AB33D50D1FE8EB05BDB4E04B8BB61E071445CEAF261395B1AB22D43233D6FC2 |
Key | Value |
---|---|
MD5 | D141337231DC95D266B9169B98C5397B |
PackageArch | armv5tel |
PackageDescription | Libtextcat is a library with functions that implement the classification technique described in Cavnar & Trenkle, "N-Gram-Based Text Categorization". It was primarily developed for language guessing, a task on which it is known to perform with near-perfect accuracy. |
PackageMaintainer | Fedora Project |
PackageName | libtextcat |
PackageRelease | 11.fc13 |
PackageVersion | 2.2 |
SHA-1 | 6B5015B5496A62F3266AB05259739D27CB32CF21 |
SHA-256 | 2779D555617E7D3ACB3464C155D5F5F084FA9E3DF02F2D7D8173ED7204F83512 |
Key | Value |
---|---|
MD5 | 4E2564BF9A0F5ABC9B3D35C5925A6C73 |
PackageArch | sparc64 |
PackageDescription | Libtextcat is a library with functions that implement the classification technique described in Cavnar & Trenkle, "N-Gram-Based Text Categorization". It was primarily developed for language guessing, a task on which it is known to perform with near-perfect accuracy. |
PackageMaintainer | Fedora Project |
PackageName | libtextcat |
PackageRelease | 5.fc9 |
PackageVersion | 2.2 |
SHA-1 | 3E6FB0DB89D7A6D720ACDAF472CC652B65009F2F |
SHA-256 | 5FAF3D8B85F80E1831C2490A575373DD1D6CAA167558C987058DBF3FB26F6EFF |
Key | Value |
---|---|
MD5 | 91EC727294F00A9F4030BB4177850357 |
PackageArch | s390x |
PackageDescription | Libtextcat is a library with functions that implement the classification technique described in Cavnar & Trenkle, "N-Gram-Based Text Categorization". It was primarily developed for language guessing, a task on which it is known to perform with near-perfect accuracy. |
PackageMaintainer | Fedora Project |
PackageName | libtextcat |
PackageRelease | 6.fc11 |
PackageVersion | 2.2 |
SHA-1 | B7E7B6D2BB4B78FDCDDBAC703B99E8A954E35AA3 |
SHA-256 | C4171A45577F5980ED9BB9409906BA2BC190CF91D5BF7A4702E728209A68BCFA |
Key | Value |
---|---|
MD5 | 096658EFDE9D329BF219F1C43C671C18 |
PackageArch | s390 |
PackageDescription | Libtextcat is a library with functions that implement the classification technique described in Cavnar & Trenkle, "N-Gram-Based Text Categorization". It was primarily developed for language guessing, a task on which it is known to perform with near-perfect accuracy. |
PackageMaintainer | Fedora Project |
PackageName | libtextcat |
PackageRelease | 12.fc15 |
PackageVersion | 2.2 |
SHA-1 | 594ACE53A378EAE6F2DABA69B0751423CC947090 |
SHA-256 | AA2CDAB845F2FEB00414822409E89A730875B0152F12B7953A239FDF9CB3B7EC |