koorukuroo

import random
import pandas as pd
import plotly.graph_objects as go

def monty_hall_5doors_scenario():
    """Generate a single scenario (car location, player choice, etc.) for 5-door Monty Hall."""
    doors = [0,1,2,3,4]
    prize_door = random.randint(0, 4)
    initial_choice = random.randint(0, 4)
    

koorukuroo

import random
import pandas as pd
import plotly.graph_objects as go

def monty_hall_5doors(trials=1000, switch=True):
    """
    Runs the Monty Hall game with 5 doors for multiple trials.
    Returns a DataFrame with columns: [initial_choice, prize_door, result].
    """
    data = []

koorukuroo

import random
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import pandas as pd

# Monty Hall simulation function
def monty_hall_simulation(trials=1000, switch=True):
    results = []
    for _ in range(trials):

koorukuroo

import random
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np

# Monty Hall simulation function
def monty_hall(switch=True):
    prize_door = random.randint(0, 2)  # Randomly assign the prize behind one of the three doors
    chosen_door = random.randint(0, 2)  # Player's initial choice of door
    doors = [0, 1, 2]

koorukuroo

import numpy as np
import time

def monty_hall_numpy(trials=100000000, switch=True):
    """
    Fully vectorized Monty Hall simulation using NumPy for maximum performance.

    Parameters:
        trials (int): Number of games to simulate.
        switch (bool): If True, the player switches doors; otherwise, they stay.

koorukuroo

import random

# Define the Monty Hall function
def monty_hall(switch=True):
    """
    Simulates one round of the Monty Hall game.
    
    Parameters:
        switch (bool): If True, the player switches their choice after the host opens a door.
    

koorukuroo

from moviepy.editor import VideoClip, TextClip
from tqdm import tqdm

def make_frame(t):
    # Calculate remaining time in minutes and seconds
    remaining_time = max(0, int(5*60 - t))
    minutes, seconds = divmod(remaining_time, 60)
    time_str = f"{minutes:01d}:{seconds:02d}"

    # Create TextClip for the countdown with 4K resolution

koorukuroo

import openai

openai.api_key = 'sk-API 키를 입력하세요'


def lambda_handler(event, context):
    if 'm' in event['params']['querystring']:
        input_message = event['params']['querystring']['m']
    else:
        input_message = "나는 신한투자증권에 입사하려는 개발자야. 클라우드를 공부해야 할 필요가 있을까?"

koorukuroo

import openai

openai.api_key = 'sk-API키를 입력합니다'


def lambda_handler(event, context):

    message = openai.ChatCompletion.create(
      model="gpt-4o-mini",  # 사용 모델
      messages=[

koorukuroo

from fastapi import FastAPI
import redis

app = FastAPI()
redis_client = redis.Redis(host='localhost', port=6379, db=0)

@app.get("/items/{id}")
def read_item(id: str):
    value = redis_client.get(id)
    if value: