Key | Value |
---|---|
FileName | snap-hashlookup-import/usr/share/doc/libstemmer0d/examples/stemwords.c |
FileSize | 6368 |
MD5 | FE8C90B8FF031CBEA339EC5EF143E1ED |
RDS:package_id | 302124 |
SHA-1 | 060CB20F4C221DD73DB1007DEF9AD22DAC702896 |
SHA-256 | ABFDEA2667ACDF523CD5DB67DFC95E761FFB5F8CE6BDA16393B11256164A824A |
SHA-512 | 0035E48BC0AA019CECEEA8B8354735248D94E40B7B09442EE8B72AB4991DA02DE48D7CCED0E4753F46F2B20F8B99B5278024AFE7DBE21A4DA7810BDC9691E19D |
SSDEEP | 192:hb+6nY9kKsDiayPi7VOxlXiAUsHpupwpUpSH8UvLiTijTI4:hb+6YCKsknciKYvLiST |
TLSH | T11ED1FF0049E302B217A7B6BAAB4F58947669D02B21B5EC447C0EB5D8DF9243187F5FEC |
insert-timestamp | 1728993082.497441 |
mimetype | text/x-c |
source | snap:NVcHuJ5bfXHftRhlrRSl0FigQsEO1gyD_165 |
hashlookup:parent-total | 45 |
hashlookup:trust | 100 |
The searched file hash is included in 45 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
SHA-1 | 003E0536E49B4ABD53C58161519DA32D0545C171 |
snap-authority | canonical |
snap-filename | gjf3IPXoRiipCu9K0kVu52f0H56fIksg_959.snap |
snap-id | gjf3IPXoRiipCu9K0kVu52f0H56fIksg_959 |
snap-name | snap-store |
snap-publisher-id | canonical |
snap-signkey | BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul |
snap-timestamp | 2023-03-15T19:03:43.309658Z |
source-url | https://api.snapcraft.io/api/v1/snaps/download/gjf3IPXoRiipCu9K0kVu52f0H56fIksg_959.snap |
Key | Value |
---|---|
FileSize | 119224 |
MD5 | BF4BC56C848CB42190F22EEB0505DAAB |
PackageDescription | 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 It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments. |
PackageMaintainer | Stefano Rivera <stefanor@debian.org> |
PackageName | libstemmer0d |
PackageSection | libs |
PackageVersion | 2.1.0-1 |
SHA-1 | 0D9B41C6AE5C2064F1D262050DF261C686D8A2FA |
SHA-256 | FD8FAFD29D1E89B7787151148284989862F55C1FE4817984369A776EEC2F2399 |
Key | Value |
---|---|
FileSize | 99324 |
MD5 | AF9AB6669C1EB4B531C497DB091A4860 |
PackageDescription | 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. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | libstemmer0d |
PackageSection | libs |
PackageVersion | 2.0.0-2 |
SHA-1 | 0E48C5B35BDFD3BF763E4584166FD1CE8F2C26B6 |
SHA-256 | 5B23049323B992C0D028775068A843D2FD231DFA9D240CA02900B5C05F0EFBBB |
Key | Value |
---|---|
SHA-1 | 1056FD376ED60600E5D8054D23A982C0D6FAA289 |
snap-authority | canonical |
snap-filename | BhRFjgCKdyfjkrYsyXPUKrfIvKDnG8YS_17.snap |
snap-id | BhRFjgCKdyfjkrYsyXPUKrfIvKDnG8YS_17 |
snap-name | gthumb-unofficial |
snap-publisher-id | Pmm7jWQkOnoU7pBoOweoW8GDbfQACXcz |
snap-signkey | BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul |
snap-timestamp | 2023-02-08T19:45:00.890081Z |
source-url | https://api.snapcraft.io/api/v1/snaps/download/BhRFjgCKdyfjkrYsyXPUKrfIvKDnG8YS_17.snap |
Key | Value |
---|---|
FileSize | 113488 |
MD5 | 525E86DD63436C73BE0DCAF69C4B7101 |
PackageDescription | 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. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | libstemmer0d |
PackageSection | libs |
PackageVersion | 2.1.0-1 |
SHA-1 | 11D9FBD7873AB03BC3D722A5A803811C09301D0B |
SHA-256 | 1DDDCF88D75669A16A9A7A1FB03A1CD29C9BCEB67609B8CD24A2C6D9B63299E3 |
Key | Value |
---|---|
FileSize | 112152 |
MD5 | B91966654CA98CD86F3C66232487528F |
PackageDescription | 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. |
PackageMaintainer | Stefano Rivera <stefanor@debian.org> |
PackageName | libstemmer0d |
PackageSection | libs |
PackageVersion | 2.1.0-2 |
SHA-1 | 23750F543EDEE45E188A72D4D1A4B2A979D5175D |
SHA-256 | 067FFC93E30AC570EA664EDE9D3F923851EDA250E8DE6E46A8F982C38E34EEF2 |
Key | Value |
---|---|
MD5 | F4E1EDB0A7C7CF173870641FF4A31ACA |
PackageArch | i586 |
PackageDescription | This package provides debug sources for package libstemmer. Debug sources are useful when developing applications that use this package or when debugging this package. |
PackageMaintainer | wally <wally> |
PackageName | libstemmer-debugsource |
PackageRelease | 3.git.c70ed64.20191001.mga8 |
PackageVersion | 2.0.0 |
SHA-1 | 280BAB435C9819395BE9A7C791FB4C2C1491CB43 |
SHA-256 | 44C6BBA779AFC3C653D3F776B06D253D97C583062384F58119B46CF6AD9C44FF |
Key | Value |
---|---|
FileSize | 102604 |
MD5 | 391EE16F5DEB8F139D899B43AD0006C6 |
PackageDescription | 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. |
PackageMaintainer | Stefano Rivera <stefanor@debian.org> |
PackageName | libstemmer0d |
PackageSection | libs |
PackageVersion | 2.1.0-2 |
SHA-1 | 2EE6E85CACC0FE993DB135964A7D32807F2C9417 |
SHA-256 | 9FFC772BB02753EEA26DC369518AD43D5FE377F5089080598FA300ACB389F398 |
Key | Value |
---|---|
SHA-1 | 3103E98479E0C73130FA64B84F3FFA4BA6C6068C |
snap-authority | canonical |
snap-filename | TM1pUxDlMmIhyuLXhjv3FSLNQgfrSTon_13.snap |
snap-id | TM1pUxDlMmIhyuLXhjv3FSLNQgfrSTon_13 |
snap-name | kf6-core22-sdk |
snap-publisher-id | 2rsYZu6kqYVFsSejExu4YENdXQEO40Xb |
snap-signkey | BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul |
snap-timestamp | 2023-08-25T16:13:40.750020Z |
source-url | https://api.snapcraft.io/api/v1/snaps/download/TM1pUxDlMmIhyuLXhjv3FSLNQgfrSTon_13.snap |
Key | Value |
---|---|
FileSize | 118544 |
MD5 | 5D27FA1D0BF88A8BE52B02A8516AAB83 |
PackageDescription | 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. |
PackageMaintainer | Stefano Rivera <stefanor@debian.org> |
PackageName | libstemmer0d |
PackageSection | libs |
PackageVersion | 2.1.0-2 |
SHA-1 | 33B832161BA2EF5BB52F3E7F5A9672D2C6F16536 |
SHA-256 | 0364DBFBF2A6A44B946149EB0F6FDFA4D9534CD4EC7F7711AD1156AD1A15AC36 |