Parents (Total: 20)
The searched file hash is included in 20 parent files which include package known and seen by metalookup. A sample is included below:
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 | 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 | 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 | 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 | 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 | 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 |
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 | 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 | 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 | EA1B56B64A06D6A7FFAD428D0AF5B104 |
PackageArch | x86_64 |
PackageDescription | Go sources and other development files for InfluxDB |
PackageName | influxdb-devel |
PackageRelease | lp151.5.1 |
PackageVersion | 1.3.8 |
SHA-1 | ABB5689F7F701B9EDFD4CDC3A752D23D45888D66 |
SHA-256 | 6071629AB818042B03B2457F46EAE30DA0F641AD1E690384B896804BA086EBFA |