Result for 18544EA766B0CD0268630FAFEAA1E045A882D687

Query result

Key Value
FileName./usr/bin/pumactl.ruby3.1-1.6.3
FileSize542
MD555D6F2474E1423815F61E57B7FC54706
SHA-118544EA766B0CD0268630FAFEAA1E045A882D687
SHA-25628B584DD6BA41023882A1FF827859496809E2A3E5D431599C022BBD44AC99D31
SSDEEP12:HY6eUjWqPw+SGcfPtVI/LH+l4BvAEml1AOyjnXPtzUYZ2:VvJcXsH+lvQDjXPpUYZ2
TLSHT14BF0C0184A82F132FC5793B14004455BE7E231D4A714409421594F45770FAFC87B85D1
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD52E97EE59A027C6773F45A2E157B20752
PackageArchi586
PackageDescriptionPuma is a simple, fast, and highly concurrent HTTP 1.1 server for Ruby web applications. It can be used with any application that supports Rack, and is considered the replacement for Webrick and Mongrel. It was designed to be the go-to server for [Rubinius](http://rubini.us), but also works well with JRuby and MRI. Puma is intended for use in both development and production environments. Under the hood, Puma processes requests using a C-optimized Ragel extension (inherited from Mongrel) that provides fast, accurate HTTP 1.1 protocol parsing in a portable way. Puma then serves the request in a thread from an internal thread pool (which you can control). This allows Puma to provide real concurrency for your web application! With Rubinius 2.0, Puma will utilize all cores on your CPU with real threads, meaning you won't have to spawn multiple processes to increase throughput. You can expect to see a similar benefit from JRuby. On MRI, there is a Global Interpreter Lock (GIL) that ensures only one thread can be run at a time. But if you're doing a lot of blocking IO (such as HTTP calls to external APIs like Twitter), Puma still improves MRI's throughput by allowing blocking IO to be run concurrently (EventMachine-based servers such as Thin turn off this ability, requiring you to use special libraries). Your mileage may vary. In order to get the best throughput, it is highly recommended that you use a Ruby implementation with real threads like [Rubinius](http://rubini.us) or [JRuby](http://jruby.org).
PackageNameruby3.1-rubygem-puma-1_6
PackageRelease3.303
PackageVersion1.6.3
SHA-10D2820E9298B6E228DD0FB0AF85B353B8A6C0E23
SHA-256BC29663469102CFD9BA5E4C10B6E65092295C5FF57E2358E677EA3ABF199555D
Key Value
MD5D062165E23B4BBD3F3F93F1F521CB79E
PackageArchx86_64
PackageDescriptionPuma is a simple, fast, and highly concurrent HTTP 1.1 server for Ruby web applications. It can be used with any application that supports Rack, and is considered the replacement for Webrick and Mongrel. It was designed to be the go-to server for [Rubinius](http://rubini.us), but also works well with JRuby and MRI. Puma is intended for use in both development and production environments. Under the hood, Puma processes requests using a C-optimized Ragel extension (inherited from Mongrel) that provides fast, accurate HTTP 1.1 protocol parsing in a portable way. Puma then serves the request in a thread from an internal thread pool (which you can control). This allows Puma to provide real concurrency for your web application! With Rubinius 2.0, Puma will utilize all cores on your CPU with real threads, meaning you won't have to spawn multiple processes to increase throughput. You can expect to see a similar benefit from JRuby. On MRI, there is a Global Interpreter Lock (GIL) that ensures only one thread can be run at a time. But if you're doing a lot of blocking IO (such as HTTP calls to external APIs like Twitter), Puma still improves MRI's throughput by allowing blocking IO to be run concurrently (EventMachine-based servers such as Thin turn off this ability, requiring you to use special libraries). Your mileage may vary. In order to get the best throughput, it is highly recommended that you use a Ruby implementation with real threads like [Rubinius](http://rubini.us) or [JRuby](http://jruby.org).
PackageNameruby3.1-rubygem-puma-1_6
PackageRelease3.303
PackageVersion1.6.3
SHA-12208B80BC41B5DEE1E83D3AE3FD4CEAD252F8A12
SHA-256C687318FCD55BB07F1FCA05FFE018850A952AA4062A16F57E956EAB52DCDE05B