Result for 006B46F6479B96C80B6FF568E060493291B97B3B

Query result

Key Value
FileName./usr/bin/ocamldep.opt
FileSize497664
MD5A6E2B3AD787ACD78B1D8B95DCFCC3B18
SHA-1006B46F6479B96C80B6FF568E060493291B97B3B
SHA-2563A8AD7A774358F90BDB65B2077B41DA1F6375AD16D1B569B89B8C669916EAD99
SSDEEP6144:pKSFwAo0Yf+juwL4a5lxG/DYOAXiguNwF0516oQkewZ3T8eZu5+z:pKSpXnLBVOEoDD88
TLSHT1E8B4A683A5D189BBC47AC8B546D452327BF2BE750B71730729E077242E378688F6DB81
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize6093008
MD5AD8E7CB3C434A9A160C3BA72F8F0357E
PackageDescriptionML language implementation with a class-based object system Objective Caml is an implementation of the ML language, based on the Caml Light dialect extended with a complete class-based object system and a powerful module system in the style of Standard ML. . Objective Caml comprises two compilers. One generates bytecode which is then interpreted by a C program. This compiler runs quickly, generates compact code with moderate memory requirements, and is portable to essentially any 32 or 64 bit Unix platform. Performance of generated programs is quite good for a bytecoded implementation: almost twice as fast as Caml Light 0.7. This compiler can be used either as a standalone, batch-oriented compiler that produces standalone programs, or as an interactive, toplevel-based system. . The other compiler generates high-performance native code for a number of processors. Compilation takes longer and generates bigger code, but the generated programs deliver excellent performance, while retaining the moderate memory requirements of the bytecode compiler. It is not available on all arches though. . This package contains everything needed to develop ocaml applications that do not require the graphics library.
PackageMaintainerSven Luther <luther@debian.org>
PackageNameocaml-nox
PackageSectiondevel
PackageVersion3.08.3-3ubuntu5
SHA-17ED9036B37E09D7CA199521762DC86CFD8F5D509
SHA-256C73D6E510CEC7161FFF82DC7CB42D2FCC1604FF6CC6766F1C8323A347B86B0EF