![]() ![]() Additionally, the application allows you to export results under the plain text format, or HTML. All results are shown and saved in the large canvas, from which you’re able to send to clipboard. Syntax highlighting makes it easy to tell variables from constants, and functions. Variables can be configured can saved for later use, and even looked up in case you create an abundant list. You easily find that the application is capable of carrying out calculus for algebra, geometry, unit conversion, electronics, as well as radio frequencies, making use of quite an abundance of operators and functions. These panels can be detached and placed anywhere on screen in case you want to always have them in plain sight. The confusion is mostly created because of the lack of a numerical pad, but the application is a professional tool, while going through the menus reveals most supported functions.ĭown in the view menu, you’re able to access an impressive variety of helpful libraries, such as the formula book, functions list, variables, constants, and even history. ![]() You might end up scratching your head for a while, because the interface is initially an empty canvas with an associated editing area, where your expression is written. ![]() Impressive libraries of functions and formulas There are various types of calculators, ranging from simple operations to complex expressions, which is the type you’re able to achieve with SpeedCrunch. Return lambda *args: n_tool(name, *args)įile "/tmp/yaourt-tmp-pat/aur-speedcrunch-git/src/speedcrunch/src/./doc/manual/doc-tool.py", line 52, in run_toolįile "/usr/lib/python3.5/subprocess.py", line 579, in check_callįile "/usr/lib/python3.5/subprocess.py", line 560, in callįile "/usr/lib/python3.5/subprocess.py", line 950, in _init_įile "/usr/lib/python3.5/subprocess.A computer is capable of performing calculus with large numbers and complex expressions in less than a second, thus helping in most domains of activity to also deliver accuracy. It corresponds with different error messages, though.Įduardomezencio commented on 00:57 (UTC)įile "/tmp/yaourt-tmp-pat/aur-speedcrunch-git/src/speedcrunch/src/./doc/manual/doc-tool.py", line 210, in įile "/tmp/yaourt-tmp-pat/aur-speedcrunch-git/src/speedcrunch/src/./doc/manual/doc-tool.py", line 204, in mainįile "/tmp/yaourt-tmp-pat/aur-speedcrunch-git/src/speedcrunch/src/./doc/manual/doc-tool.py", line 139, in build_bundled_docsĮxtra_config=)įile "/tmp/yaourt-tmp-pat/aur-speedcrunch-git/src/speedcrunch/src/./doc/manual/doc-tool.py", line 79, in build_docsįile "/tmp/yaourt-tmp-pat/aur-speedcrunch-git/src/speedcrunch/src/./doc/manual/doc-tool.py", line 55, in a similar FTBFS can arise when python-sphinx-quark-theme has to be rebuilt against the current version of its dependencies. Could you by any chance build the package with -DCMAKE_INSTALL_PREFIX=/usr and 'make DESTDIR=$pkgdir install' and / or compile with a single thread only and see whether this fixes the problem at your side, too?ītw. by setting MAKEFLAGS="-jn", n≥2, in /etc/nf on a multi-core system. ![]() It seems most likely that the somewhat special approach to have CMAKE_INSTALL_PREFIX point into $pkgdir while at the same time omitting make variable DESTDIR can cause the problem when more than one thread is run, e. I've seen the FTBFS you're describing sporadically as well but haven't found out what exactly is the reason so far. Binary packages are not meant to be restricted to the system they were built on but to be exchangeable. Localization it's expected behavior to consider all locales which are provided by the sources. ![]()
0 Comments
Leave a Reply. |