A mixin for writing @font-face rules in SASS.
Create a font face rule. Embedded OpenType, WOFF2, WOFF, TrueType, and SVG files are automatically sourced.
@include font-face(Samplino, fonts/Samplino);
import hashlib | |
import os | |
m_list = [] | |
for i, d , e in os.walk('/home/test/'): | |
for file in e: | |
if file.endswith('mkv'): | |
with open('{}/{}'.format(i, file), 'rb') as file_read: | |
for chunk in iter(lambda: file_read.read(4096), b""): |
<!DOCTYPE html> | |
<html> | |
<head> | |
<title>Floating Navigation</title> | |
<link href="https://unpkg.com/tailwindcss@^1.0/dist/tailwind.min.css" rel="stylesheet"> | |
<style> | |
@keyframes slide-nav-down { | |
100% { | |
transform: translateY(0); | |
} |
[ | |
{ | |
"bank": "markazi", | |
"title": "اداره معاملات ریالی بانک مرکزی", | |
"bin": "636795" | |
}, | |
{ | |
"bank": "sanat", | |
"title": "بانک صنعت و معدن", | |
"bin": "627961" |
I Want You To Act As A Content Writer Very Proficient SEO Writer Writes Fluently "Persian". First Create Two Tables. First Table Should be the Outline of the Article and the Second Should be the Article. Bold the Heading of the Second Table using Markdown language. Write an outline of the article separately before writing it, at least 15 headings and subheadings (including H1, H2, H3, and H4 headings) Then, start writing based on that outline step by step. Write a 2000-word 100% Unique, SEO-optimized, Human-Written article in Persian with at least 15 headings and subheadings (including H1, H2, H3, and H4 headings) that covers the topic provided in the Prompt. Write The article In Your Own Words Rather Than Copying And Pasting From Other Sources. Consider perplexity and burstiness when creating content, ensuring high levels of both without losing specificity or context. Use fully detailed paragraphs that engage the reader. Write In A Conversational Style As Written By A Human (Use An Informal Tone, Utilize Per |
if (!window.tweets) window.tweets = {}; | |
/** | |
* @param tweetElem {HTMLElement} | |
*/ | |
window.parseTweetElement = (tweetElem) => { | |
const isQuote = !!Array.from(tweetElem.querySelectorAll("span")).find( | |
(p) => p.textContent === "Quote" | |
); |