Result for 44E209E5A6D0D881AEC695ED48EBFD12E6C6A120

Query result

Key Value
FileName./usr/share/gocode/src/github.com/retailnext/hllpp/hllpp_test.go
FileSize13539
MD5E5EC72A7227F2B19DEDCD618E7CDC871
SHA-144E209E5A6D0D881AEC695ED48EBFD12E6C6A120
SHA-256E3E06C4E7277377076E8454A953DF6FF367C10C3C6C9A0D85B32CE043A7435D2
SSDEEP384://+iebl5n71ToqyE7T7khBKUSg4Z54iS4W1n88DG4y4V9Oo32:/2ie1dUSxes
TLSHT11A529A61DFF04093E579B0745880BE4E93A4B473DBF040EAF6AD61EB9F0886ED674894
hashlookup:parent-total18
hashlookup:trust100

Network graph view

Parents (Total: 18)

The searched file hash is included in 18 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5668D5A6703C0DCA3F52878C3EB89A9CD
PackageArchnoarch
PackageDescription hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm in go. It optimizes for memory usage over CPU usage.
PackageNamegolang-github-retailnext-hllpp
PackageRelease1.25
PackageVersion0.0.0+git20150319.38a7bb7
SHA-10D83193380F1C6780DA18D6B8AD96596CC6AB86C
SHA-25604D4C14DCD63EA59BB971B4E1D3E38EFAF3D01570D4C2E1FF9CFA5DC42E5536B
Key Value
MD53E238E7674D5F1C07394446E4B226383
PackageArchnoarch
PackageDescription hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm in go. It optimizes for memory usage over CPU usage.
PackageNamegolang-github-retailnext-hllpp
PackageRelease1.28
PackageVersion0.0.0+git20150319.38a7bb7
SHA-122564ADB931945E9C4A12E51522569D2A812B9EA
SHA-256FB87133392869C9BBD4D4FFCF2C848349EAD298B172634B2FEE766981D8D28C6
Key Value
MD534865415BBD326D0C74B0956D1F89F4D
PackageArchnoarch
PackageDescription hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm in go. It optimizes for memory usage over CPU usage.
PackageNamegolang-github-retailnext-hllpp
PackageRelease1.28
PackageVersion0.0.0+git20150319.38a7bb7
SHA-12EA1B30484DD2E421EC5400F3DDE876E66629596
SHA-256A42F590A53BB5610011E894778725AAF1BEFAA1EDE429F9E5B5D3F4F55047C4F
Key Value
MD5FD0972827E06A4EFF8AD67FE82613C83
PackageArchnoarch
PackageDescription hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm in go. It optimizes for memory usage over CPU usage.
PackageNamegolang-github-retailnext-hllpp
PackageRelease1.6
PackageVersion0.0.0+git20150319.38a7bb7
SHA-14211E3CFB58C8C7B994FA0581267A7289308990F
SHA-256DD334F1C73B854B11315807E93E4C94D0D72283D052F9866437294CB93A5BED4
Key Value
MD5ACFCB88AFA63C6E6F12A2A23861D2717
PackageArchnoarch
PackageDescription hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm in go. It optimizes for memory usage over CPU usage.
PackageNamegolang-github-retailnext-hllpp
PackageRelease1.6
PackageVersion0.0.0+git20150319.38a7bb7
SHA-1437BA7A3A643B347EF02F2203CC286B9C49084FA
SHA-256B6F8E6E21E86A3BDE7B9732A22902654252D2C0905C65258563D9D77D832655B
Key Value
MD58253E8E22ABA49886EF1B7D44B4F2012
PackageArchnoarch
PackageDescription hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm in go. It optimizes for memory usage over CPU usage.
PackageNamegolang-github-retailnext-hllpp
PackageReleaselp153.1.8
PackageVersion0.0.0+git20150319.38a7bb7
SHA-14B7886FCF2FC04CEE7B236829B234E30F16654CA
SHA-256E81FF4021B6511757723D0C09DD349BC7637BB9781D6BD0E2C6FEB6510DCE7CE
Key Value
MD5F6859A7C2F65E3DECEFB80F875A5CD6B
PackageArchnoarch
PackageDescription hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm in go. It optimizes for memory usage over CPU usage.
PackageNamegolang-github-retailnext-hllpp
PackageReleaselp150.1.6
PackageVersion0.0.0+git20150319.38a7bb7
SHA-14DA09EFC796AC0A1033FB80EDE7A26119BDD8423
SHA-256CA4E200BC2072BAAC966F1298D7E2B4A410516A79F8AF234B2BAED26504EFCC4
Key Value
MD59777FA07C3DAEA96422E89C64A5ED5F6
PackageArchnoarch
PackageDescriptionHllpp 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
PackageMaintainerFedora Project
PackageNamegolang-github-retailnext-hllpp-devel
PackageRelease5.fc34
PackageVersion1.0.0
SHA-175E2B4862F5C78D449CE50F4F49418F8BB24DB95
SHA-256B11D17043634FF9C9A67BCC1133F31EDF763441E0D4F38EFFE8A9F9CAF44F9CD
Key Value
MD557C93508E696F13FB018AD55D6A41A4D
PackageArchnoarch
PackageDescription hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm in go. It optimizes for memory usage over CPU usage.
PackageNamegolang-github-retailnext-hllpp
PackageReleaselp152.1.3
PackageVersion0.0.0+git20150319.38a7bb7
SHA-17F5D380A9706196B0B5507846B812F27E1241A55
SHA-2560FF77FD417A25C48021EF83B2DBEC1091C0D3A109349695E9E4039A52440B3F9
Key Value
MD5ABA28825CCC38D62A3F5EE4D34091841
PackageArchnoarch
PackageDescription hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm in go. It optimizes for memory usage over CPU usage.
PackageNamegolang-github-retailnext-hllpp
PackageReleaselp153.1.4
PackageVersion0.0.0+git20150319.38a7bb7
SHA-1AF2B110571AF78198F427794C3625C4A7C34E90A
SHA-25690E53184B64F7675AF5A09775F2F0B40EF2D3BD021CA1C659BECD742C9513EF9