Key | Value |
---|---|
FileName | ./usr/share/doc/packages/golang-github-retailnext-hllpp/LICENSE |
FileSize | 1487 |
MD5 | 6EAD99CA4439FB5AEF1BFE9799CB02E7 |
SHA-1 | 770BE5028CA5687A9073EB48CC6F459102795F16 |
SHA-256 | 8DDADC9C2ED5601FDEE0BF3578E50EC1997D97F81C62505BCD3F80EBFA39ACE9 |
SSDEEP | 24:EqUnezoLbOOrYFT5JYrYFTzL6pfBTPJ90432smEOkus8WROL32s3yxtTfy13tT+L:EZOOrYJQrYJzYpPz0432sBG32s3Etm1W |
TLSH | T11931625712400BB719E21751756ABDC0B08CD02C3B276E011C6AF384577B42ED4BB491 |
hashlookup:parent-total | 15 |
hashlookup:trust | 100 |
The searched file hash is included in 15 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
MD5 | ACFCB88AFA63C6E6F12A2A23861D2717 |
PackageArch | noarch |
PackageDescription | hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm in go. It optimizes for memory usage over CPU usage. |
PackageName | golang-github-retailnext-hllpp |
PackageRelease | 1.6 |
PackageVersion | 0.0.0+git20150319.38a7bb7 |
SHA-1 | 437BA7A3A643B347EF02F2203CC286B9C49084FA |
SHA-256 | B6F8E6E21E86A3BDE7B9732A22902654252D2C0905C65258563D9D77D832655B |
Key | Value |
---|---|
MD5 | 668D5A6703C0DCA3F52878C3EB89A9CD |
PackageArch | noarch |
PackageDescription | hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm in go. It optimizes for memory usage over CPU usage. |
PackageName | golang-github-retailnext-hllpp |
PackageRelease | 1.25 |
PackageVersion | 0.0.0+git20150319.38a7bb7 |
SHA-1 | 0D83193380F1C6780DA18D6B8AD96596CC6AB86C |
SHA-256 | 04D4C14DCD63EA59BB971B4E1D3E38EFAF3D01570D4C2E1FF9CFA5DC42E5536B |
Key | Value |
---|---|
MD5 | FF3683B8F5F3A4FDEDCD34544D125CF1 |
PackageArch | noarch |
PackageDescription | Hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm in Go. It optimizes for memory usage over CPU usage. It implements all the HyperLogLog optimizations introduced in the HyperLogLog++ paper (http://goo.gl/Z5Sqgu). Some notable features include: – marshaling so you can serialize to your datastore – extra space savings by only using 5 bits per register when possible – built-in non-streaming murmur3 implementation for fast hashing of input data This package contains the source code needed for building packages that reference the following Go import paths: – github.com/retailnext/hllpp |
PackageMaintainer | Fedora Project |
PackageName | golang-github-retailnext-hllpp-devel |
PackageRelease | 4.fc33 |
PackageVersion | 1.0.0 |
SHA-1 | B5FB1844AE0762588FF1B62619CB06672DEBFEE3 |
SHA-256 | E02C608D06F2E3C60B640F9C5D297D44FE1546F16F63941B64426DD0D21A466E |
Key | Value |
---|---|
MD5 | 57C93508E696F13FB018AD55D6A41A4D |
PackageArch | noarch |
PackageDescription | hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm in go. It optimizes for memory usage over CPU usage. |
PackageName | golang-github-retailnext-hllpp |
PackageRelease | lp152.1.3 |
PackageVersion | 0.0.0+git20150319.38a7bb7 |
SHA-1 | 7F5D380A9706196B0B5507846B812F27E1241A55 |
SHA-256 | 0FF77FD417A25C48021EF83B2DBEC1091C0D3A109349695E9E4039A52440B3F9 |
Key | Value |
---|---|
MD5 | 34598B4AED1BD7368F31868B3AB42B63 |
PackageArch | noarch |
PackageDescription | Hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm in Go. It optimizes for memory usage over CPU usage. It implements all the HyperLogLog optimizations introduced in the HyperLogLog++ paper (http://goo.gl/Z5Sqgu). Some notable features include: – marshaling so you can serialize to your datastore – extra space savings by only using 5 bits per register when possible – built-in non-streaming murmur3 implementation for fast hashing of input data This package contains the source code needed for building packages that reference the following Go import paths: – github.com/retailnext/hllpp |
PackageMaintainer | Fedora Project |
PackageName | golang-github-retailnext-hllpp-devel |
PackageRelease | 3.fc32 |
PackageVersion | 1.0.0 |
SHA-1 | CA8772FB5049EECDA84F5A6A91A88C7FF8F3C0EE |
SHA-256 | 24055723600A0D3E6E160601F96C2FF95918FFB964EB6DAE48290A363505A138 |
Key | Value |
---|---|
MD5 | 376070426F8DFFA779107807BB413105 |
PackageArch | noarch |
PackageDescription | hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm in go. It optimizes for memory usage over CPU usage. |
PackageName | golang-github-retailnext-hllpp |
PackageRelease | lp151.1.4 |
PackageVersion | 0.0.0+git20150319.38a7bb7 |
SHA-1 | F997AF51C0A2F6CD4490397BC7FC9CAEDC1CD051 |
SHA-256 | 54BB4B82113D41989123925561FBDA905A11EFEEAAB72C6C6B3B5D2AF9DD0C0A |
Key | Value |
---|---|
MD5 | FD0972827E06A4EFF8AD67FE82613C83 |
PackageArch | noarch |
PackageDescription | hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm in go. It optimizes for memory usage over CPU usage. |
PackageName | golang-github-retailnext-hllpp |
PackageRelease | 1.6 |
PackageVersion | 0.0.0+git20150319.38a7bb7 |
SHA-1 | 4211E3CFB58C8C7B994FA0581267A7289308990F |
SHA-256 | DD334F1C73B854B11315807E93E4C94D0D72283D052F9866437294CB93A5BED4 |
Key | Value |
---|---|
MD5 | EDA29AFBD898C493C5F9FEE7363FC975 |
PackageArch | noarch |
PackageDescription | hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm in go. It optimizes for memory usage over CPU usage. |
PackageName | golang-github-retailnext-hllpp |
PackageRelease | 1.8 |
PackageVersion | 0.0.0+git20150319.38a7bb7 |
SHA-1 | D93393F923B249F0F158B13FE54929CA4A86513A |
SHA-256 | 2D98C35D6915712BBC5485CDC26E591363F80E5641AA239AEB42E8DE80CD68FA |
Key | Value |
---|---|
MD5 | 34865415BBD326D0C74B0956D1F89F4D |
PackageArch | noarch |
PackageDescription | hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm in go. It optimizes for memory usage over CPU usage. |
PackageName | golang-github-retailnext-hllpp |
PackageRelease | 1.28 |
PackageVersion | 0.0.0+git20150319.38a7bb7 |
SHA-1 | 2EA1B30484DD2E421EC5400F3DDE876E66629596 |
SHA-256 | A42F590A53BB5610011E894778725AAF1BEFAA1EDE429F9E5B5D3F4F55047C4F |
Key | Value |
---|---|
MD5 | F6859A7C2F65E3DECEFB80F875A5CD6B |
PackageArch | noarch |
PackageDescription | hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm in go. It optimizes for memory usage over CPU usage. |
PackageName | golang-github-retailnext-hllpp |
PackageRelease | lp150.1.6 |
PackageVersion | 0.0.0+git20150319.38a7bb7 |
SHA-1 | 4DA09EFC796AC0A1033FB80EDE7A26119BDD8423 |
SHA-256 | CA4E200BC2072BAAC966F1298D7E2B4A410516A79F8AF234B2BAED26504EFCC4 |
Key | Value |
---|---|
MD5 | DE61D946D33E7209ABEA6ACE1B098B84 |
PackageArch | noarch |
PackageDescription | hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm in go. It optimizes for memory usage over CPU usage. |
PackageName | golang-github-retailnext-hllpp |
PackageRelease | 1.3 |
PackageVersion | 0.0.0+git20150319.38a7bb7 |
SHA-1 | C89310B53E26FBF04E08AFBF43C01E07C2A58216 |
SHA-256 | 2E1A128E8A6914761458E9C979C935DD7C7AF2DA06212C66C15AFCF3BF2E9830 |
Key | Value |
---|---|
MD5 | 3E238E7674D5F1C07394446E4B226383 |
PackageArch | noarch |
PackageDescription | hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm in go. It optimizes for memory usage over CPU usage. |
PackageName | golang-github-retailnext-hllpp |
PackageRelease | 1.28 |
PackageVersion | 0.0.0+git20150319.38a7bb7 |
SHA-1 | 22564ADB931945E9C4A12E51522569D2A812B9EA |
SHA-256 | FB87133392869C9BBD4D4FFCF2C848349EAD298B172634B2FEE766981D8D28C6 |
Key | Value |
---|---|
MD5 | 9777FA07C3DAEA96422E89C64A5ED5F6 |
PackageArch | noarch |
PackageDescription | Hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm in Go. It optimizes for memory usage over CPU usage. It implements all the HyperLogLog optimizations introduced in the HyperLogLog++ paper (http://goo.gl/Z5Sqgu). Some notable features include: – marshaling so you can serialize to your datastore – extra space savings by only using 5 bits per register when possible – built-in non-streaming murmur3 implementation for fast hashing of input data This package contains the source code needed for building packages that reference the following Go import paths: – github.com/retailnext/hllpp |
PackageMaintainer | Fedora Project |
PackageName | golang-github-retailnext-hllpp-devel |
PackageRelease | 5.fc34 |
PackageVersion | 1.0.0 |
SHA-1 | 75E2B4862F5C78D449CE50F4F49418F8BB24DB95 |
SHA-256 | B11D17043634FF9C9A67BCC1133F31EDF763441E0D4F38EFFE8A9F9CAF44F9CD |
Key | Value |
---|---|
MD5 | ABA28825CCC38D62A3F5EE4D34091841 |
PackageArch | noarch |
PackageDescription | hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm in go. It optimizes for memory usage over CPU usage. |
PackageName | golang-github-retailnext-hllpp |
PackageRelease | lp153.1.4 |
PackageVersion | 0.0.0+git20150319.38a7bb7 |
SHA-1 | AF2B110571AF78198F427794C3625C4A7C34E90A |
SHA-256 | 90E53184B64F7675AF5A09775F2F0B40EF2D3BD021CA1C659BECD742C9513EF9 |
Key | Value |
---|---|
MD5 | 8253E8E22ABA49886EF1B7D44B4F2012 |
PackageArch | noarch |
PackageDescription | hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm in go. It optimizes for memory usage over CPU usage. |
PackageName | golang-github-retailnext-hllpp |
PackageRelease | lp153.1.8 |
PackageVersion | 0.0.0+git20150319.38a7bb7 |
SHA-1 | 4B7886FCF2FC04CEE7B236829B234E30F16654CA |
SHA-256 | E81FF4021B6511757723D0C09DD349BC7637BB9781D6BD0E2C6FEB6510DCE7CE |