Result for 9399EA14544094074140B4C66BD1197E7F5B9005

Query result

Key Value
CRC32777C9EAA
FileNamelibstemmer.so.0
FileSize19
MD5DD2249E52D2CF32E075F76074C3DA4AE
OpSystemCode{'MfgCode': '1006', 'OpSystemCode': '362', 'OpSystemName': 'TBD', 'OpSystemVersion': 'none'}
ProductCode{'ApplicationType': 'Operating System', 'Language': 'English', 'MfgCode': '2194', 'OpSystemCode': '51', 'ProductCode': '17393', 'ProductName': 'Fedora 23 Server 32-bit', 'ProductVersion': '2015'}
RDS:package_id294740
SHA-19399EA14544094074140B4C66BD1197E7F5B9005
SHA-2565785B8C9680A864F8DBC2E863D8E37ABCD6D8E6AF48EFA8684261177C0F12A1D
SSDEEP3:EWmy:EWmy
SpecialCode
TLSH
dbnsrl_modern_rds
insert-timestamp1696446924.3438964
sourcedb.sqlite
hashlookup:parent-total98
hashlookup:trust100

Network graph view

Parents (Total: 98)

The searched file hash is included in 98 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD53E6322F1789228FDF1757A230A69FA4E
PackageArchx86_64
PackageDescriptionThis package containst the files to dynamically link against the C version of the libstemmer library.
PackageMaintainerumeabot <umeabot>
PackageNamelib64stemmer0
PackageRelease17.git.6b3b8b5.20160930.mga7
PackageVersion0
SHA-1002479119F1633C17C7B3110684BCA580D29D57F
SHA-256C60E519AA5B2B0A5E500C986D2480CD2061494D210B586CA1F692BD4A997737B
Key Value
MD592ED8C2616C2FBEBDB584BE7BF18D146
PackageArchx86_64
PackageDescriptionSnowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerFedora Project
PackageNamelibstemmer
PackageRelease16.585svn.fc34
PackageVersion0
SHA-101A78C77BF1726945FC20C1A65872B4B56B1B96D
SHA-256A3F4EC55C3E192431A0B358D55170309029D66B82AD9AFD13A5C44D48AA4C818
Key Value
MD55257286BF7DC6C953A903EC2D95CCB4C
PackageArcharmv7hl
PackageDescriptionThis package containst the files to dynamically link against the C version of the libstemmer library.
PackageMaintainerumeabot <umeabot>
PackageNamelibstemmer0
PackageRelease17.git.6b3b8b5.20160930.mga7
PackageVersion0
SHA-1047BA943E05D756103B9180A2BE7A581BFA5DD13
SHA-2563705DA693AAFC64C029A79E13C6BDDB5CC03614C00230209EF1C2CE7B4A915CB
Key Value
MD594492283F9722B4361CCCE79BCB0CCB5
PackageArchx86_64
PackageDescriptionSnowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamelibstemmer
PackageRelease10.585svn.el8
PackageVersion0
SHA-1088B8504095D567C341FB83B1822DDB6A8F24D1E
SHA-2569B121A03314F1F0822A58059EFBA09944DF192C35E22267F39137F70A28CDA1C
Key Value
MD5BF0A2B025C001A8BABF6A4DBB3AFDF71
PackageArchppc64le
PackageDescriptionThis package contains development files of libstemmer. Snowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamelibstemmer-devel
PackageRelease10.585svn.el8
PackageVersion0
SHA-10D9703ADA729561B321B1A70F50BE3F91BC402A0
SHA-256EA3DB91AA4CE67605F0DB3AEB661B84A98FD6DC32A001D16D0335D3A87679CF9
Key Value
MD52805246AF610503CDB4346819EDDE356
PackageArcharmv7hl
PackageDescriptionSnowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerFedora Project
PackageNamelibstemmer
PackageRelease14.585svn.fc32
PackageVersion0
SHA-110243D58B22D2DBA4B00BC97D458FAB99BFF3688
SHA-2563DA0D8F82EB59624CAFD787540193395971E6392CDDF7238A994B991C0B1BB9D
Key Value
MD51C466AFF1952EBF9AEB0FCD1AB8DEB4E
PackageArchs390x
PackageDescriptionThis package contains development files of libstemmer. Snowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerFedora Project
PackageNamelibstemmer-devel
PackageRelease2.585svn.fc22
PackageVersion0
SHA-110FD7B186255A48B93A0703F8DA7D9FA6D7D765F
SHA-25617D75FEADB71010B2976790CB8ACA56ABCC9AC48C4F4FD11D62B517E5EB54EE2
Key Value
MD5E642DF02277AC56FDF2106538489B001
PackageArcharmv7hl
PackageDescriptionThis package contains the libstemmer library and its header files.
PackageMaintainerumeabot <umeabot>
PackageNamelibstemmer-devel
PackageRelease2.mga9
PackageVersion2.2.0
SHA-111854A0D02F8043DCDDCFD5E0709DBBBA18C2322
SHA-25623BCFF4704100829A969A426ABD21D79B9BA549833494CA26ECBBD8846B59420
Key Value
MD5637BD66F97E1ADD73634142421CEE151
PackageArchppc64
PackageDescriptionSnowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerFedora Project
PackageNamelibstemmer
PackageRelease3.585svn.fc23
PackageVersion0
SHA-114670FD8559E5D74DF5AA0DF305D5CE516D076AC
SHA-2568E9EA1F3E88AF3B7FBC92C78BAE73BC98F86D0B9D98186ED6245C76AD08E1D50
Key Value
MD55C2C1FB3FB306699FDB30867DABA182C
PackageArchs390
PackageDescriptionThis package contains development files of libstemmer. Snowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerFedora Project
PackageNamelibstemmer-devel
PackageRelease3.585svn.fc23
PackageVersion0
SHA-1183139AA079F35D004E54659CB4F5F2462CD036C
SHA-2567041A7245E2DA51AC26CEF248307C81B6898064230C2E1F46386B2C6169E5EAF