Result for B586F66D005B7F74697A3610DA6898F446DDC9D1

Query result

Key Value
FileName./usr/share/gocode/src/github.com/retailnext/hllpp/README.md
FileSize1184
MD58DB2DD15E1D94D2904269EF20442B67E
SHA-1B586F66D005B7F74697A3610DA6898F446DDC9D1
SHA-25698E8FF35E37ECDF9E2C1172F3BEC438A27520268C07553DA7C4DCC6502072067
SSDEEP24:032H4GWh/MlU7UZquG07KWlWn8c9C8lWfiedbl1b:rYGWd+7quGvxXkpZ
TLSHT1622163EB47009ABA7B07377521CFE704AF95E8476B1B144EAA3C8098931607463BF36C
hashlookup:parent-total3
hashlookup:trust65

Network graph view

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
MD5FF3683B8F5F3A4FDEDCD34544D125CF1
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
PackageRelease4.fc33
PackageVersion1.0.0
SHA-1B5FB1844AE0762588FF1B62619CB06672DEBFEE3
SHA-256E02C608D06F2E3C60B640F9C5D297D44FE1546F16F63941B64426DD0D21A466E
Key Value
MD534598B4AED1BD7368F31868B3AB42B63
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
PackageRelease3.fc32
PackageVersion1.0.0
SHA-1CA8772FB5049EECDA84F5A6A91A88C7FF8F3C0EE
SHA-25624055723600A0D3E6E160601F96C2FF95918FFB964EB6DAE48290A363505A138
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