How To Install The Islands Script

Though similar in style to CDK, it is different, being a script-interpreter which provides a set of curses widgets. Widgets are objects whose appearance and behavior can be customized. There is a much-reduced variation of dialog, called lxdialog, which is used in Linux kernel configuration.

How to Install the Islands Script

The main use of this version of dialog was reportedly sysinstall. That was replaced by this version of dialog for FreeBSD 9.0 by Nathan Whitehorn and others. I made improvements to dialog to help with this starting early in 2011, adding these options:

Here are installed sizes from Debian 5.0 (32-bit) and 6.0 (64-bit). I included both releases to provide a comparison with Xdialog. It is apparent that the installed size counting required libraries is always lowest for dialog, even when it has more than twice the functionality of the next smallest (whiptail).

Debian (and derived distributions such as Ubuntu) are a special case for compatibility concerns because their installer uses terminal-based scripts extensively and there is some attempt to use either dialog or whiptail.

Interestingly, the popularity contest (in which I do not participate) seems to show dialog due to installation bias of Debian has half the popularity of whiptail. The two are not installed on an equal basis because dialog is "optional" while whiptail is "important". Here is an extract of the relevant information as I am documenting dialog 1.2:

The count for zenity can be explained in part because that program is not really compatible with either dialog or whiptail. Thus, it is likely that there are scripts which cannot be used by other programs (reviewing the package dependencies makes this apparent: only one depends on either dialog or zenity).

The issue of compatibility comes up occasionally. I do not intend to break old scripts. You may note in the change-log fixes for regressions. When merging Victor Stemens' changes, I spent time ironing out issues in text justification.

Xdialog's author paid attention to compatibility, making a good attempt at working with scripts that dialog would work with. He added many widgets, some of which are viable in a terminal enviroment. I have adapted the most useful of those.

One of the challenging aspects about making scripts compatible with whiptail is its documentation. Whiptail is a part of the newt package, which has the same problem. I have a collection of releases, which helps.

Two of those (--output-fd and --passwordbox) are clearly the work of Joey Hess. One was adapted from my work. In each case, the manpage description is (except for changing "dialog" to "whiptail") identical. The two options implemented by Joey Hess provided manpage updates. The other two were copied from dialog.

The early Debian package for newt noted above adapted a manpage from dialog. It describes the --gauge option. That text was copied from the manpage for dialog 0.6, but (noting that Marc Ewing's name was not in the manpage, rather it was in the README file) the Debian maintainers did not provide attribution for him either. The disclaimer at the end "based on" is too generous (to the Debian maintainer), since the work involved consisted of no more than removing the description of --create-rc and changing "dialog" to "whiptail" throughout.

In context, "new work" referred to the installer group. By the time I started maintaining dialog a year later, the matter had already been decided. That was not the last issue from that group; over the next few years (until sometime in 2000, probably after Raymond's final interaction with ncurses), they continued to demonstrate their support by misattributing my work to Eric Raymond (and others, depending on the work).

The result of my 1.2 review is that scripts accepted by whiptail will also be accepted by dialog. Because the two programs differ in their support for word-wrapping and handling of escapes, there will be inevitably some differences in appearance.

The purpose of this project is to provide an utility and a library to build scripts and tools with UI Widgets in a terminal. The project is inspired by Dialog; however BSDDialog is released under the terms of the BSD-2-Clause License while Dialog is licensed as LGPL so a link of the project has been added to the "GPL Software in the Base System" wiki page.

The technique that this architectural pattern builds on is known as partial or selective hydration. Astro leverages this technique behind the scenes, powering your islands automatically.

Sometimes, you may wish to install programs into other locations on your computer, but be able to execute them easily without specifying their exact location. You can do this easily by adding a directory to your $PATH. To see what's in your $PATH right now, type this into a terminal:

Let's say you wrote a little shell script called hello.sh and have it located in a directory called /place/with/the/file. This script provides some useful function to all of the files in your current directory, that you'd like to be able to execute no matter what directory you're in.

Before Jupyter Notebooks, data scientists wrote long (usually messy) scripts specifically for data exploration and transformation. Perhaps one function in the script was responsible for pumping out descriptive statistics on a data set, while another performed different transformations and plotted the new distribution.

Every time someone wanted a specific plot or statistic, the data scientist ran the entire script and modified function calls as needed. However, if the code was not neatly organized into functions, the data scientist ran the whole script and watched helplessly as multiple plots were generated onscreen.

Enter JupyterLab, a server-client application for interactive coding in Python, Julia, R, and more. JupyterLab provides an environment for developers to create Jupyter Notebooks and scripts. The notebooks are a solution for running organized code snippets (or cells) that operate independently of each other and whose output appears directly below the cell.

Before installing JupyterLab, you must decide on the programming language you intend to use and whether your workloads require graphics processing units (GPUs). JupyterLab supports over 100 programming languages, including Scala, Matlab, and Java.

Vim is extensible through plugins, but for a long time, there was no official method for installing them. As of the Vim 8.x series, however, there's a structure around how plugins are intended to be installed and loaded. You may encounter old instructions online or in project README files, but as long as you're running Vim 8 or greater, you should install according to Vim's official plugin install method or with a Vim package manager. You can use a package manager regardless of what version you run (including releases older than 8.x), which makes the install process easier than maintaining updates yourself.

Officially, Vim recommends that each plugin project gets its own directory within /.vim/pack. For example, if you were to install the NERDTree plugin and the imaginary foo plugin, you would create this structure:

Each time you want to install a plugin, you must enter the name and location of the plugin between the plug#begin() and plug#end lines. (The NERDTree file manager is used above as an example.) If the plugin you want isn't hosted on GitHub, then you can provide the full URL instead of just the GitHub username and project ID. You can even "install" local plugins outside of your /.vim directory.

Editing /.vimrc and issuing a command to do the installation probably doesn't seem like much of a savings over the manual install process, but the real benefit to vim-plug is in updates. To update all installed plugins, issue this Vim command:

I am not sure if there is easy easy way to do this. You will need to do a bit more coding to get this working (get the pixel position of the selected island, instantiate a flood fill filter based on the pixel value of the selected island, and update the islands effect default modifier labelmap using the flood fill filter results)

This article shows you how to package a script into an RPM file for easy installation, updating, and removal from your Linux systems. Before I jump into the details, I'll explain what an RPM package is, and how you can install, query, remove, and, most importantly, create one yourself.

To build a package for your script, you must put your script in the directory that the RPM build system expects it to be in. Create a directory for it, using semantic versioning as most projects do, and then move hello.sh into it:

You're packaging a Bash script, so there's some simplification you can do. For instance, there's no Build process because there's no code to compile. I've added BuildArch: noarch because this package is valid for 32-bit, 64-bit, Arm, and any other CPU architecture that runs Bash.

I've also added Requires: bash so that the package ensures that Bash is installed. This simple "hello world" script runs on any shell, of course, but that's not true for all scripts, so this is a good way to demonstrate dependencies.

As you can tell, there are a lot of shortcuts in .spec files. They're called macros, and there's an excellent list of what's available in the Fedora packaging documentation. It's important to use macros in your .spec files. They help ensure consistency across all RPM systems, they help you avoid mistakes in filenames and version numbering, and they make it easier to update the .spec file when you release a new version of your script. 041b061a72