bramses

public int indexOf(int ch, int fromIndex) {
  if (fromIndex < 0) {
      fromIndex = 0;
  } else if (fromIndex >= count) {
      // Note: fromIndex might be near -1>>>1.
      return -1;
  }

  if (ch < Character.MIN_SUPPLEMENTARY_CODE_POINT) {
      // handle most cases here (ch is a BMP code point or a

bramses

def hard_state_add_5(whole_obj):
  if "a" in whole_obj:
    return whole_obj["a"] + 5
  
def easy_state_add_5(input_num):
  return input_num + 5

def main():
  whole_obj = {}
  whole_obj["a"] = 10

bramses

import React from "react"

const Menu = ({ items, refine, title }) => (
    <div>
        <p className="star-wars-facet">{title}</p>
        <hr className="star-wars-hr"/>
        <ul>
            {items.map(item => (
                <li style={{ listStyle: 'none' }} key={item.value}>
                    <a href="#" style={{ fontWeight: item.isRefined ? 'bold' : '', textDecoration: 'none' }} className="star-wars-facet" onClick={event => {

bramses

{
      resolve: `gatsby-plugin-algolia`,
      options: {
        appId: process.env.APP_ID,
        apiKey: process.env.API_KEY,
        indexName: 'star-wars-characters', // for all queries
        queries,
        chunkSize: 10000, // default: 1000
      }
}

bramses

float p1x;
float p1y;

float p2x;
float p2y;

float p3x;
float p3y;

float p4y;

bramses

/*
fork of P_2_1_2_04
*/

PImage img;
int tileCount = 50;
float tileWidth;
float tileHeight;
int actRandomSeed = 0;

bramses

index.ts -- low temperature: Typescript

This code is importing the VSCode library and the dotenv library. It also imports OpenAI, which is a library for AI.

import * as vscode from 'vscode'
import * as dotenv from 'dotenv'
// @ts-ignore
import * as OpenAI from '../openai/index.js'
import fetch from 'node-fetch'

bramses

/* make a function that does basic addition */

function add(a, b) {
   return a + b;
 }

bramses

def _remove_from_parent(self,tr,path):
  parent = self._find(tr, path[:-1]
  del tr[parent[self.SUBDIRS][path[-1][.key0]

bramses

router.post('/sms', async (req, res) => {
  const twiml = new MessagingResponse();
  await workflow(`${req.body.Body}`)

  res.writeHead(200, {'Content-Type': 'text/xml'});
  res.end('Message Received');
});