KayneWest

# Manus AI Assistant Capabilities

## Overview
I am an AI assistant designed to help users with a wide range of tasks using various tools and capabilities. This document provides a more detailed overview of what I can do while respecting proprietary information boundaries.

## General Capabilities

### Information Processing
- Answering questions on diverse topics using available information
- Conducting research through web searches and data analysis

KayneWest

#include "ofMain.h"
#include "ofxTiming.h"

class ofApp : public ofBaseApp {
public:
    ofVideoGrabber grabber;
    DelayTimer delay;
    ofTrueTypeFont font;
    string description;
    

KayneWest

#!/usr/bin/python
# -*- coding: utf-8 -*-

import pprint
import datetime
from py2neo.neo4j import Index
from wikitools import wiki
from wikitools import api
from wikitools import category
import wikitools

KayneWest

import pymc as pm
import numpy as np
import math

site_id = 911

def MCMC_switch_point_finder(count_data):
    n_count_data = len(count_data)
    alpha = 1.0 / count_data.mean()  # Recall count_data is the
                                   # variable that holds our txt counts

KayneWest

import multiprocessing
from StringIO import StringIO
import gzip
import csv
from random import shuffle
import numpy as np
import json
from time import sleep
import pymongo
import datetime

KayneWest

import mechanize
import cookielib
import urlparse
import re
import time
import random
import csv
import pandas as pd
import pickle
import random

KayneWest

import time
import random
import csv
import pandas as pd
import pickle
import random
import datetime
import os
import re
from itertools import izip_longest

KayneWest

import time
from selenium import webdriver
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.common.keys import Keys
import random
import csv
import pandas as pd

KayneWest

import time
from selenium import webdriver
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.common.action_chains import ActionChains
import random
import csv
import pandas as pd
import pickle
import random

KayneWest

from string import translate,maketrans,punctuation
from itertools import chain
from nltk import PunktSentenceTokenizer
import datetime 
import re
 
def log(msg):
    print("{} {}".format(str(datetime.datetime.now()), msg))
def removeNonAscii(s): 
    return "".join(filter(lambda x: ord(x)<128, s))