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Ninja is a build system developed by Evan Martin, [4] a Google employee. Ninja has a focus on speed and it differs from other build systems in two major respects: it is designed to have its input files generated by a higher-level build system, and it is designed to run builds as fast as possible.
Cython is a compiled language that is typically used to generate CPython extension modules. Annotated Python-like code is compiled to C and then automatically wrapped in interface code, producing extension modules that can be loaded and used by regular Python code using the import statement, but with significantly less computational overhead at ...
Loadable kernel modules in Linux are loaded (and unloaded) by the modprobe command. They are located in /lib/modules or /usr/lib/modules and have had the extension .ko ("kernel object") since version 2.6 (previous versions used the .o extension). [5] The lsmod command lists the loaded kernel modules.
A script session is captured in file name typescript by default; to specify a different filename follow the script command with a space and the filename as such: script recorded_session. The recorded format of script consists of plain-text timing information (for the whole session) and verbatim command output, including whatever ANSI escape ...
Boost is a set of libraries for the C++ programming language that provides support for tasks and structures such as linear algebra, pseudorandom number generation, multithreading, image processing, regular expressions, and unit testing. It contains 164 individual libraries (as of version 1.76).
A shell script is a computer program designed to be run by a Unix shell, a command-line interpreter. [1] The various dialects of shell scripts are considered to be command languages . Typical operations performed by shell scripts include file manipulation, program execution, and printing text.
POSIX Threads is an API defined by the Institute of Electrical and Electronics Engineers (IEEE) standard POSIX.1c, Threads extensions (IEEE Std 1003.1c-1995). Implementations of the API are available on many Unix-like POSIX-conformant operating systems such as FreeBSD , NetBSD , OpenBSD , Linux , macOS , Android [ 1 ] , Solaris , Redox , and ...
It works on Linux, Windows, macOS, and is available in Python, [8] R, [9] and models built using CatBoost can be used for predictions in C++, Java, [10] C#, Rust, Core ML, ONNX, and PMML. The source code is licensed under Apache License and available on GitHub. [6] InfoWorld magazine awarded the library "The best machine learning tools" in 2017.