kevinlin1

#!/usr/bin/env python3

from canvasapi import Canvas

import os

if __name__ == "__main__":
    canvas = Canvas("https://canvas.uw.edu", os.getenv("TOKEN"))
    course = canvas.get_course(os.getenv("COURSE_ID"))
    groups = course.get_groups()

kevinlin1

#!/usr/bin/env python3

from canvasapi import Canvas

import os

if __name__ == "__main__":
    canvas = Canvas("https://canvas.uw.edu", os.getenv("TOKEN"))
    course = canvas.get_course(os.getenv("COURSE_ID"))
    groups = course.get_groups()

kevinlin1

javascript:(() => {
  const div = document.createElement('div');
  div.style.alignItems = 'flex-end';
  div.style.backgroundColor = 'black';
  div.style.bottom = '0';
  div.style.color = 'white';
  div.style.display = 'none';
  div.style.fontFamily = '-apple-system, BlinkMacSystemFont, avenir next, avenir, segoe ui, helvetica neue, helvetica, Cantarell, Ubuntu, roboto, noto, arial, sans-serif';
  div.style.fontSize = '3vh';
  div.style.maxHeight = '7vh';

kevinlin1

kevinlin1

kevinlin1

class SET<Key extends Comparable<Key>> implements Iterable<Key> {
    ST<Key, Boolean> map = new ST<>();

    void add(Key key) {
        map.put(key, true);
    }

    boolean contains(Key key) {
        return map.contains(key);
    }

kevinlin1

import aiohttp
import asyncio
import io
import pandas as pd

lessons = [
    # Ed Lesson IDs
]

token = "" # Ed login token

kevinlin1

import java.util.Arrays;

import org.hamcrest.Description;
import org.hamcrest.Matcher;
import org.hamcrest.TypeSafeMatcher;

public class StringIsEqualIgnoringLineOrder extends TypeSafeMatcher<String> {
    private final String expected;
    private final String[] expectedLines;

kevinlin1

server/scripts

The data for HuskyMaps consists of two parts: the osm data and the tileset.

OSM Data

The OpenStreetMap data is generated via the BBBike extraction service which uses the osmconvert tool to reduce a massive planet.osm file to a local region.

kevinlin1

#!/bin/env python3
"""
Play the STS sentiment evaluation game! Test your ability to predict the gold
standard label for the TSV containing gold labels and sentence pairs.

Try loading the question-question set from SemEval Semantic Textual Similarity.

    https://github.com/brmson/dataset-sts
"""