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b38f90d4c7
* Added search terms to math commands * Attempts to add ~user. From: // Extend this to work with "~user" style of home paths * Clippy recommendation * clippy suggestions, again. * fixing non-compilation on windows and macos * fmt apparently does not like my imports * even more clippy issues. * less expect(), single conversion, match. Should work for MacOS too. * Attempted to add functionality for windows: all it does is take the home path of current user, and replace the username. * silly mistake in Windows version of user_home_dir() * Update tilde.rs * user_home_dir now returns a path instead of a string - should be smoother with no conversions to string * clippy warnings * clippy warnings 2 * Changed user_home_dir to return PathBuf now. * Changed user_home_dir to return PathBuf now. * forgot to fmt * fixed windows build errors from modifying pathbuf but not returning it * fixed windows clippy errors from returning () instead of pathbuf * forgot to fmt * borrowed path did not live long enough. * previously, path.push did not work because rest_of_path started with "/" - it was not relative. Removing the / makes it a relative path again. * Issue fixed. * Update tilde.rs * fmt. * There is now a zero chance of panic. All expect()s have been removed.
Nushell core libraries and plugins
These sub-crates form both the foundation for Nu and a set of plugins which extend Nu with additional functionality.
Foundational libraries are split into two kinds of crates:
- Core crates - those crates that work together to build the Nushell language engine
- Support crates - a set of crates that support the engine with additional features like JSON support, ANSI support, and more.
Plugins are likewise also split into two types:
- Core plugins - plugins that provide part of the default experience of Nu, including access to the system properties, processes, and web-connectivity features.
- Extra plugins - these plugins run a wide range of different capabilities like working with different file types, charting, viewing binary data, and more.