Result for 29BA84319161362A58C31B3A16A7BF2E3B5426C3

Query result

Key Value
FileName./usr/lib/perl5/vendor_perl/5.26.1/x86_64-linux-thread-multi/auto/Coro/State/State.so
FileSize102232
MD51F3154B7FA25C613FF358C4EA5D79216
SHA-129BA84319161362A58C31B3A16A7BF2E3B5426C3
SHA-256D10AE7B99D08E1320A65197022A0EE10B0B39172D9721A4AE1D2D58C935DD1FA
SSDEEP768:eEiUqm4vkKlLpjzflIifL+0WAsv4xF/XNBK1+zDLpK41jvJGcJGKCMyv4kOv+1i+:eEkzxLCtt9ynYU0N1tR+vY0lR+9E
TLSHT1BEA3180BBA7180BEC859C4304ADFD5E28DF0B7909562752F683093792E42E695F1FF22
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
MD548D61F185209511478F89B5D922B25FF
PackageArchx86_64
PackageDescriptionFor a tutorial-style introduction, please read the Coro::Intro manpage. This manpage mainly contains reference information. This module collection manages continuations in general, most often in the form of cooperative threads (also called coros, or simply "coro" in the documentation). They are similar to kernel threads but don't (in general) run in parallel at the same time even on SMP machines. The specific flavor of thread offered by this module also guarantees you that it will not switch between threads unless necessary, at easily-identified points in your program, so locking and parallel access are rarely an issue, making thread programming much safer and easier than using other thread models. Unlike the so-called "Perl threads" (which are not actually real threads but only the windows process emulation (see section of same name for more details) ported to UNIX, and as such act as processes), Coro provides a full shared address space, which makes communication between threads very easy. And coro threads are fast, too: disabling the Windows process emulation code in your perl and using Coro can easily result in a two to four times speed increase for your programs. A parallel matrix multiplication benchmark (very communication-intensive) runs over 300 times faster on a single core than perls pseudo-threads on a quad core using all four cores. Coro achieves that by supporting multiple running interpreters that share data, which is especially useful to code pseudo-parallel processes and for event-based programming, such as multiple HTTP-GET requests running concurrently. See Coro::AnyEvent to learn more on how to integrate Coro into an event-based environment. In this module, a thread is defined as "callchain + lexical variables + some package variables + C stack), that is, a thread has its own callchain, its own set of lexicals and its own set of perls most important global variables (see Coro::State for more configuration and background info). See also the 'SEE ALSO' section at the end of this document - the Coro module family is quite large.
PackageNameperl-Coro
PackageRelease1.1
PackageVersion6.57
SHA-1015FCAE65C135A4E708EFC05FCA2AFDF932D2183
SHA-256AC7A7B654BC90C7D6B44943D26141BB65D5607A25D2B07727FBF100A640591BA
Key Value
MD568B3FFE1DEE8E1D7C09548844EB4207B
PackageArchx86_64
PackageDescriptionFor a tutorial-style introduction, please read the Coro::Intro manpage. This manpage mainly contains reference information. This module collection manages continuations in general, most often in the form of cooperative threads (also called coros, or simply "coro" in the documentation). They are similar to kernel threads but don't (in general) run in parallel at the same time even on SMP machines. The specific flavor of thread offered by this module also guarantees you that it will not switch between threads unless necessary, at easily-identified points in your program, so locking and parallel access are rarely an issue, making thread programming much safer and easier than using other thread models. Unlike the so-called "Perl threads" (which are not actually real threads but only the windows process emulation (see section of same name for more details) ported to UNIX, and as such act as processes), Coro provides a full shared address space, which makes communication between threads very easy. And coro threads are fast, too: disabling the Windows process emulation code in your perl and using Coro can easily result in a two to four times speed increase for your programs. A parallel matrix multiplication benchmark (very communication-intensive) runs over 300 times faster on a single core than perls pseudo-threads on a quad core using all four cores. Coro achieves that by supporting multiple running interpreters that share data, which is especially useful to code pseudo-parallel processes and for event-based programming, such as multiple HTTP-GET requests running concurrently. See Coro::AnyEvent to learn more on how to integrate Coro into an event-based environment. In this module, a thread is defined as "callchain + lexical variables + some package variables + C stack), that is, a thread has its own callchain, its own set of lexicals and its own set of perls most important global variables (see Coro::State for more configuration and background info). See also the 'SEE ALSO' section at the end of this document - the Coro module family is quite large.
PackageNameperl-Coro
PackageReleaselp152.1.1
PackageVersion6.57
SHA-16085FDB83CD4523910772B2B3023508CFAB74C66
SHA-2561D30A52D1501D4AE671D33271E8EADE645A7F0A7BD1C7061BB41BFE000F6C2F1