hardkorebob

Examples of an interesting computer programming paradigm.

Part I is 1hr of this loading....

git clone https://github.com/jart/blink && cd blink

https://www.rebol.com/downloads.html

https://www.red-lang.org/p/download.html

https://github.com/dislux-hapfyl/shimky

Please enjoy my mind contraptions for learning purposes.

pnk.lang is a DSL made in Shell Script that compiles to Python. Abstracting indentation and category of functions into colors[capital letters] using the tag_add method from tkinter. For me it reduces cognitive load and also you write much less Python boilerplate.

shimky is the IDE for pnk.lang built in pnk.lang. It has some vim behaviors/modes/commands and an internal bash shell/command line, an mp3 player[mpv] and a youtube music downloader command line. Paste a URL and hit Ctr-n and you get a refreshed mp3 list with new mp3 renamed for POSIXish.

Here I made a small pnk.lang IDE for Red using shimky. ;)

Get shimky/pnk.lang : https://github.com/dislux-hapfyl/shimky

Get Red: https://github.com/red/red

#allerrorsmatter #hacktheplanet #redlang #ahdahwm

A Shell DSL that transforms into Python.

I created this IDE to spin up Tkinter UIs or anything Python with less boilerplate and rich cognitive and efficiency shortcuts: for me, I think this tool helps me prototype GUI apps quicker with less characters typed so less effort.

I would love to take this further if I could get anyone interested. Thanks.

https://github.com/dislux-hapfyl/shimky

PD: Both Titles are Correct

A Shell DSL that transforms into Python.

I created this IDE to spin up Tkinter UIs or anything Python with less boilerplate and rich cognitive and efficiency shortcuts: for me, I think this tool helps me prototype GUI apps quicker with less characters typed so less effort.

I would love to take this further if I could get anyone interested. Thanks.

https://github.com/dislux-hapfyl/shimky

This code is a highly abstracted and unconventional script that appears to be for generating Python code using Bash shell script constructs within a shell scripting context, translating them into Python code generation. Here's a breakdown of what different parts of the script do:

Function Definitions:

The script defines several functions (ZDimp, ZDas, ZDshebang, etc.) that output Python code. Each function generates specific parts of Python code, like imports, class definitions, and method definitions. Functions like ZFtoorwin, XIcv, and ZDcld are used for generating more complex constructs like class instantiation and method invocation within classes. Control Structures:

It includes shell-based control structures to create conditional (if, elif, else) and looping constructs (for, while) in the generated Python code. The constructs use a mix of direct shell commands and placeholders for Python code, indicating that the script likely works alongside other tools or scripts that provide inputs dynamically. Instance and Function Call Generation:

Functions for setting instance variables (ZIfv, YIfv, etc.) and making function calls (ZFfc, YFfc, etc.) dynamically build Python code that manipulates class instances and calls methods. These functions are versatile, allowing for different indentation levels and conditions to be specified dynamically. Utility Operations:

Functions like XFshsp, XFpyev, and others handle subprocess execution, text manipulation, and variable assignment within the generated Python environment. These functions are intended to be flexible and reusable across different parts of the generated code, indicating a modular approach to code generation. Error Handling and Debugging:

The script includes structures for try-except-finally blocks (XKtry, XKexcp, XKfin), allowing generated Python code to handle exceptions effectively. This suggests that the generated code is expected to run in environments where robust error handling is necessary. In summary, this Bash script serves as a meta-programming tool that dynamically generates Python code. It abstracts Python programming constructs into shell script functions, allowing the script writer to generate complex Python applications using shell command syntax. This approach is unconventional and seems tailored for specific use cases where such a level of abstraction is beneficial, perhaps in automated code generation tools or educational environments where showing the transformation of simple commands into Python code can be illustrative.

https://github.com/dislux-hapfyl/shimky

This code is a highly abstracted and unconventional script that appears to be for generating Python code using Bash shell script constructs. It mimics object-oriented programming concepts within a shell scripting context, translating them into Python code generation. Here's a breakdown of what different parts of the script do:

Shebang and Author Information: The script starts with a shebang for Bash, and author details are provided in a comment.

Global Variables:

Various variables are set for use within the generated Python code, such as bg for background color, datenow for the current date and time, px and py for padding values, etc. S, E, and _ are shorthand for self, echo, and expr respectively, simplifying the syntax for commonly used operations. Function Definitions:

The script defines several functions (ZDimp, ZDas, ZDshebang, etc.) that output Python code. Each function generates specific parts of Python code, like imports, class definitions, and method definitions. Functions like ZFtoorwin, XIcv, and ZDcld are used for generating more complex constructs like class instantiation and method invocation within classes. Control Structures:

It includes shell-based control structures to create conditional (if, elif, else) and looping constructs (for, while) in the generated Python code. The constructs use a mix of direct shell commands and placeholders for Python code, indicating that the script likely works alongside other tools or scripts that provide inputs dynamically. Instance and Function Call Generation:

Functions for setting instance variables (ZIfv, YIfv, etc.) and making function calls (ZFfc, YFfc, etc.) dynamically build Python code that manipulates class instances and calls methods. These functions are versatile, allowing for different indentation levels and conditions to be specified dynamically. Utility Operations:

Functions like XFshsp, XFpyev, and others handle subprocess execution, text manipulation, and variable assignment within the generated Python environment. These functions are intended to be flexible and reusable across different parts of the generated code, indicating a modular approach to code generation. Error Handling and Debugging:

The script includes structures for try-except-finally blocks (XKtry, XKexcp, XKfin), allowing generated Python code to handle exceptions effectively. This suggests that the generated code is expected to run in environments where robust error handling is necessary. In summary, this Bash script serves as a meta-programming tool that dynamically generates Python code. It abstracts Python programming constructs into shell script functions, allowing the script writer to generate complex Python applications using shell command syntax. This approach is unconventional and seems tailored for specific use cases where such a level of abstraction is beneficial, perhaps in automated code generation tools or educational environments where showing the transformation of simple commands into Python code can be illustrative.

cross-posted from: https://programming.dev/post/12104901

https://github.com/dislux-hapfyl/pynksh

Writing functional shell snake code to improve my sanity.