htlin222

htlin222

import React, { useState, useRef, useEffect } from 'react';

const snippets = {
  'if': 'if (condition) {\n  \n}',
  'fo': 'for (let i = 0; i < array.length; i++) {\n  \n}',
  'co': 'console.log();',
};

const TextEditor = () => {
  const [text, setText] = useState('');

htlin222

import React, {
  useState,
  useRef,
  useEffect,
  useCallback,
  useMemo,
} from "react";
import {
  Search,
  Save,

htlin222

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# title: pdf_explain
# author: Hsieh-Ting Lin, the Lizard 🦎
# description: This script splits a PDF file into individual pages and saves each page as a Markdown file with an auto-generated title and explanation in Traditional Chinese. It uses the OpenAI API to generate titles and explanations.
# date: "2024-07-13"

import os

import openai

htlin222

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# title: main
# author: Hsieh-Ting Lin, the Lizard 🦎
# description: This script is to extract the text from a PDF file and convert it to JSON format. Used for foundation_one NGS report, for biomarker_findings
# date: "2024-07-01"
# --END-- #


import json

htlin222

{
  "translatorID": "d90fd4af-9eeb-4232-9feb-8fd05bcf6f8b",
    "translatorType": 2,
      "label": "Markdown Item URI with Citekey",
        "creator": "Silent",
          "target": "markdown",
            "minVersion": "2.0",
              "maxVersion": "",
                "priority": 200,
                  "inRepository": false,

htlin222

/* @theme my-theme */

@charset "UTF-8";
/*!
 *
 * @auto-scaling true
 * @size 4:3 960px 720px
 * @size 16:9 1280px 720px
 */
@import url("https://unpkg.com/markdown-it-admon/styles/admonition.css");

htlin222

<% for (const annotation of it) { %> <%~ include("annotation", annotation) %>

<% } %>

htlin222

<%= it.map(lit => [[${lit.citekey}|(${lit.authors.first()}, ${lit.date})]]).join("; ") %>

htlin222

<%= it.title %>

• Authors: <%= it.authors .map(author => [[${author}]]) .join(', ') %>
• Date: <%= it.date ?? it.year %>