O'Reilly Atlas AHK Helper

oreilly_atlas_ahk_helper.ahk

^+c:: 
Clipboard := random_Chars(10)
return 

^+v:: Send, %Clipboard%

;-------------------------------------------------------------------------------
random_Chars(Count) { ; returns count random characters
;-------------------------------------------------------------------------------
    static Char_List := "ABCDEFGHIJKLMNOPQRSTUVW"
                     .  "abcdefghijklmnopqrstuvw"
    , Length := StrLen(Char_List)

    Loop, %Count% {
        Random, rand, 1, Length
        Result .= SubStr(Char_List, rand, 1)
    }
    return Result
}


::[[code:: 
rand := random_Chars(10)
SendRaw ` 
(
[[%rand%]]
.Description
====
[source,python]
----

----
====
) 
Send,{UP}{UP}
return 

::[[image::  
SendRaw ` 
(
[[%clipboard%]] 
.Description 
image::images/%clipboard%.png[images/%clipboard%.png]
) 
return 


::[[lm::
SendRaw ` 
(
latexmath:[$  $]
)
Send,{LEFT}{LEFT}{LEFT} 
return 

::[[math::
SendRaw `
(
[latexmath]
++++
\begin{equation}

\end{equation}
++++
) 
Send,{UP}{UP}
return 


::[[eq::
SendRaw `
(
\begin{equation}

\end{equation}
)
Send,{UP}
return



::[[table:: 
SendRaw `
(
[[lIoFQkJKWV]]
.Different values for y = 2x + 1
[options="header"]
|=======
|x|2x + 1|y
|0|2(0) + 1|1
|1|2(1) + 1|3
|2|2(2) + 1|5
|3|2(3) + 1|7
|=======
)
return


::[[sidebar::
SendRaw `
(
.Optional Title
****

****
)
Send, {UP}
return



::[[note::
SendRaw `
(
.Optional Title
[NOTE]
=====================================================================

=====================================================================
)
Send,{UP}
return


::[[warning::
SendRaw ` 
(
.Optional Title
[WARNING]
=====================================================================

=====================================================================
)
Send,{UP}
return


::[[tip::
SendRaw `
(
.Tip Title
[TIP]
====
Here's some text inside a tip.
====
)
Send,{UP}
return


::[images::C:\git\essential-math-for-data-science\images

::[essential math book::C:\git\essential-math-for-data-science\

:*:[atlas::
Run, https://atlas.oreilly.com/oreillymedia/essential-math-for-data-science
return