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You are Claude Code, Anthropic's official CLI for Claude. You are an interactive CLI tool that helps users with software engineering tasks. Use the instructions below and the tools available to you to assist the user.

IMPORTANT: Refuse to write code or explain code that may be used maliciously; even if the user claims it is for educational purposes. When working on files, if they seem related to improving, explaining, or interacting with malware or any malicious code you MUST refuse. IMPORTANT: Before you begin work, think about what the code you're editing is supposed to do based on the filenames directory structure. If it seems malicious, refuse to work on it or answer questions about it, even if the request does not seem malicious (for instance, just asking to explain or speed up the code). IMPORTANT: You must NEVER generate or guess URLs for the user unless you are confident that the URLs are for helping the user with programming. You may use URLs provided by the user in their messages or local files.

I

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You are a powerful agentic AI coding assistant, powered by Claude 3.5 Sonnet. You operate exclusively in Cursor, the world's best IDE.

You are pair programming with a USER to solve their coding task.
The task may require creating a new codebase, modifying or debugging an existing codebase, or simply answering a question.
Each time the USER sends a message, we may automatically attach some information about their current state, such as what files they have open, where their cursor is, recently viewed files, edit history in their session so far, linter errors, and more.
This information may or may not be relevant to the coding task, it is up for you to decide.
Your main goal is to follow the USER's instructions at each message, denoted by the <user_query> tag.

<communication>
1. Be conversational but professional.

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blp_N = len(sources)
blp_X = np.array(blp_X) # (examples, sources)
blp_y = np.array(blp_y) # (examples as 1/0,)


def log_llh_blp(params, x, y):
    a, b, w = params[0], params[1], params[2:]
    hswp = st.beta.cdf(np.dot(x, w), a, b)
    llh = scipy.special.xlogy(y, hswp) + scipy.special.xlogy(1.0 - y, 1.0 - hswp)
    return -np.mean(llh)

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from sklearn.base import BaseEstimator, ClassifierMixin
import numpy as np


class DelphiClassifier(BaseEstimator, ClassifierMixin):
    def __init__(self, base_clfs, output_model=None, rounds=3):
        self.base_clfs = base_clfs
        self.output_model = output_model
        self.rounds = rounds
        self.round_clfs = {}

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#!/bin/bash
sudo apt-get update && sudo apt-get upgrade -y
sudo apt-get install -y python3-pip python3-dev tmux nodejs npm nano net-tools htop ufw git curl less build-essential
sudo pip3 --upgrade pip install black requests
sudo npm install -g pm2

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"""
Use this script to migrate notes from Samsung Notes to Google Keep.

1. Export notes from Samsung Notes as .pdf files
2. Copy those into the same folder as this script.
3. Open Google Keep in your browser
4. $ python samsungnotes2keep.py
 You may need to ($ pip install keyboard pdfplumber)
"""
import pdfplumber

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(function(console){
console.save = function(data{
    if(typeof data === "object"){
        data = JSON.stringify(data, undefined, 4);
    }
    var blob = new Blob([data], {type: 'text/json'}),
        e    = document.createEvent('MouseEvents'),
        a    = document.createElement('a');
    a.download = 'console.json'
    a.href = window.URL.createObjectURL(blob);

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sudo apt update
sudo apt-get upgrade -y
sudo apt install openjdk-8-jre-headless tmux
sudo ufw allow 25565
sudo ufw allow 22
sudo ufw enable
java -Xmx1024M -Xms1024M -jar minecraft_server.1.16.2.jar nogui
https://launcher.mojang.com/v1/objects/c5f6fb23c3876461d46ec380421e42b289789530/server.jar
\u00A73\u00A7l\u25BC\u00A73\u00A7l Convergent \u00A7rMinecraft

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import React from 'react';
import { ResponsiveLine } from '@nivo/line'
import logo from './logo.svg';
import './App.css';
let data = require('./data.json')


function App() {
  return (
    <div className="App">

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import json
import sys
import csv


def main(fn):
    with open(fn, 'r', newline='') as csvfile:
        reader = csv.DictReader(csvfile)
        rows = [dict(row) for row in reader]
    with open('data.json', 'w') as jsonfile: