uroybd

<%* // The KOReader defined highlight styles vs callout mapping. Leave the keys as is, but you can edit the values to create your own convention. const NOTE_STYLES = { lighten: { type: "quote", title: "Quotable/Concept/General Idea", }, invert: { type: "important", title: "Striking/Intense",

uroybd

title	aliases	created	updated
Inbox	Inbox	2023-11-22 14:01:18 +0600	2023-11-23 08:49:57 +0600

Will Be Delivered soon…

// I am using Custom JS plugin to define common JS functions throughout the vault.
const {Formatters} = customJS;

uroybd

<%* 
// Note style prefixes we will map to callouts.
// It will suffice to put just this character to change the callout style.
// If additional notes are required, we will use a space after the prefix,
// and then continue to our usual note.
// Customize this as you see fit. With types from: https://help.obsidian.md/Editing+and+formatting/Callouts#Supported+types
const NOTE_STYLES = {
  "!": {
    type: "important",
    title: "Striking/Intense",

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<%* function getTitleAndAuthor(l) { l = l.replace("Reading Notes | <<", "").split(">>"); return { title: l[0], authors: l[1] } }

let file = app.workspace.getActiveFile()

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class Formatters {
  format_book_collections(collections, dv) {
    if (collections) {
      const keys = Object.keys(collections);
      const links = dv
        .pages('"Personal/Reading/Collections"')
        .where(
          (p) =>
            p.handle != undefined &&
            keys.indexOf(p.handle) > -1

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use std::collections::HashMap;

pub fn read_lines(filename: String) -> Vec<String> {
    let content: Vec<String> = fs::read_to_string(filename)
        .expect("Invalid File")
        .split('\n')
        .map(|s| s.to_string())
        .collect();
    return content;
}

uroybd

import sys
largest_by_far = sys.float_info.min
smallest_by_far = sys.float_info.max

while True:
    value = input("Enter Numbers: ")
    if value == "done":
        break
    try:
        fvalue = float(value)

uroybd

import csv

MY_DICT = {"a": "a definition"} # assuming this is your dict
data = list(MY_DICT.items())

with open('glossary.txt', 'w') as gfile:
  writer = csv.writer(gfile, delimiter="\t")
  writer.writerows(data)

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Keybase proof

I hereby claim:

• I am uroybd on github.
• I am uroybd (https://keybase.io/uroybd) on keybase.
• I have a public key ASDAvqxhvhTXcjkzLfpaldu_T9EmLDU80ej4KEkZY2MyQAo

To claim this, I am signing this object:

uroybd

var bengaliUnitRegex = /([অ-হড়-য়](্[অ-হড়-য়])+|[অ-হড়-য়]্|[অ-হড়-য়])[া-ৌ]*[ঁঃং]*|ৎ|[০-৯]| /g;
// You can match with str.mathc(rg) and it will yield units as array. Example:
var testText = "আদর্শলিপি";
testText.match(bengaliUnitRegex);

// > ["আ", "দ", "র্শ", "লি", "পি"]