I made this Toga app as a Bash one-liner:
python -c '
import toga
import urllib.request
import json
def fetch_json(url):
with urllib.request.urlopen(url) as response:
if response.getcode() == 200:
# /// script | |
# dependencies = [ | |
# "SpeechRecognition", | |
# "mlx-whisper", | |
# "pyaudio", | |
# ] | |
# /// | |
import speech_recognition as sr | |
import numpy as np |
/** | |
* Creates a private GitHub Gist | |
* @param {string} description - Gist description | |
* @param {Object.<string, string>} files - Object with filenames as keys and content as values | |
* @param {string} token - GitHub Personal Access Token with gist scope | |
* @returns {Promise<Object>} - GitHub Gist API response object | |
* @throws {Error} - If the API request fails | |
*/ | |
async function createPrivateGist(description, files, token) { | |
if (!token) { |
import base64 | |
import httpx | |
import llm | |
from PIL import Image | |
import io | |
@llm.hookimpl | |
def register_embedding_models(register): |
import { basicAuth } from "https://esm.town/v/pomdtr/basicAuth?v=65"; | |
import Anthropic from "npm:@anthropic-ai/sdk@0.24.0"; | |
const anthropic = new Anthropic(); | |
async function suggestKeywords(question) { | |
const message = await anthropic.messages.create({ | |
max_tokens: 128, | |
model: "claude-3-5-sonnet-20240620", | |
tools: [{ |
"use strict";(self.webpackChunk=self.webpackChunk||[]).push([[338],{578:(e,t,r)=>{e.exports=r.p+"7cf7ced34f0a1ece31b4.wasm"},338:(e,t,r)=>{var n;r.r(t),r.d(t,{default:()=>a});const a=(n="file:///private/tmp/node_modules/@jitl/quickjs-wasmfile-release-sync/dist/emscripten-module.browser.mjs",function(e={}){var t,a,o=e;function i(e){e={log:e||function(){}};for(const t of i.za)t(e);return o.quickJSEmscriptenExtensions=e}o.ready=new Promise(((e,r)=>{t=e,a=r})),i.za=[],o.quickjsEmscriptenInit=i,i.za.push((e=>{e.getWasmMemory=function(){return Q}}));var _,u=Object.assign({},o),l="./this.program",s="object"==typeof window,f="function"==typeof importScripts,S="";(s||f)&&(f?S=self.location.href:"undefined"!=typeof document&&document.currentScript&&(S=document.currentScript.src),n&&(S=n),S=0!==S.indexOf("blob:")?S.substr(0,S.replace(/[?#].*/,"").lastIndexOf("/")+1):"",f&&(_=e=>{var t=new XMLHttpRequest;return t.open("GET",e,!1),t.responseType="arraybuffer",t.send(null),new Uint8Array(t.response)}));var c,T=o.print||con |
Metadata-Version: 2.1 | |
Name: testcontainers-postgres | |
Version: 0.0.1rc1 | |
Summary: PostgreSQL component of testcontainers-python. | |
Home-page: https://github.com/testcontainers/testcontainers-python | |
Requires-Python: >=3.7 | |
Description-Content-Type: text/x-rst | |
Requires-Dist: testcontainers-core | |
Requires-Dist: sqlalchemy | |
Requires-Dist: psycopg2-binary |
import sqlite3 | |
# Connect to the test.db database | |
conn = sqlite3.connect(":memory:") | |
cursor = conn.cursor() | |
# Create the news table | |
cursor.execute( | |
""" | |
CREATE TABLE IF NOT EXISTS news ( |
I made this Toga app as a Bash one-liner:
python -c '
import toga
import urllib.request
import json
def fetch_json(url):
with urllib.request.urlopen(url) as response:
if response.getcode() == 200:
BEGIN TRANSACTION; | |
CREATE TABLE [ios] ( | |
[ios] TEXT, | |
[path] TEXT, | |
[parent] TEXT, | |
[filename] TEXT, | |
[languages] TEXT | |
); | |
INSERT INTO "ios" VALUES('iOS1','/Applications/Calculator.app/Calculator','/Applications/Calculator.app','Calculator','["Objective-C"]'); | |
INSERT INTO "ios" VALUES('iOS1','/Applications/DemoApp.app/DemoApp','/Applications/DemoApp.app','DemoApp','["Objective-C"]'); |
.grow-wrap { | |
/* easy way to plop the elements on top of each other and have them both sized based on the tallest one's height */ | |
display: grid; | |
} | |
.grow-wrap::after { | |
/* Note the weird space! Needed to preventy jumpy behavior */ | |
content: attr(data-replicated-value) " "; | |
/* This is how textarea text behaves */ | |
white-space: pre-wrap; |