Parents (Total: 3)
The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:
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 | 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 | 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 |