해머슴의 글쓰기 넓은터

import tkinter as tkfrom tkinter import ttkimport matplotlib.pyplot as pltfrom matplotlib.backends.backend_tkagg import FigureCanvasTkAggimport numpy as npdef calculate_neutronsys(x):    # 예시 방정식입니다. 실제 뉴트론시스 방정식을 알고 계시면 이 부분을 수정하세요.    return np.sin(x) * np.exp(-x / 5)def plot_graph():    try:        x_value = float(entry_x.get())        x_values = np.linspace(0, x_value, 100)        y_values =..

import tkinter as tkfrom tkinter import ttkimport matplotlib.pyplot as pltfrom matplotlib.backends.backend_tkagg import FigureCanvasTkAggimport numpy as np# Van der Waals 힘을 계산하는 함수 정의def van_der_waals_force(distance, a=1.0, b=0.5):    # 간단한 반데르발스 힘 모델로 r^6 관계를 기반으로 계산    return -a / (distance**6) + b / (distance**12)# 그래프를 업데이트하는 함수 정의def update_graph():    try:        input_value = float(entry..

import numpy as npimport matplotlib.pyplot as pltfrom tkinter import Tk, Label, Entry, Buttonfrom matplotlib.backends.backend_tkagg import FigureCanvasTkAgg# 상수 정의hbar = 1.0545718e-34  # Reduced Planck's constant (J·s)m_e = 9.10938356e-31  # Electron mass (kg)# 터널링 확률 계산 함수def tunneling_probability(V0, E, a):    if E >= V0:        return 1  # 에너지가 잠재장벽보다 크면 100% 터널링    alpha = np.sqrt(2 * m_e * ..

import numpy as npfrom scipy.integrate import odeintimport matplotlib.pyplot as pltfrom matplotlib.backends.backend_tkagg import FigureCanvasTkAggimport tkinter as tk# 로렌츠 방정식 정의def lorenz(X, t, sigma, beta, rho):    x, y, z = X    dx_dt = sigma * (y - x)    dy_dt = x * (rho - z) - y    dz_dt = x * y - beta * z    return [dx_dt, dy_dt, dz_dt]# 그래프 그리기 함수def plot_lorenz(sigma, beta, rho, x0, y0, ..

import tkinter as tkfrom tkinter import messageboximport matplotlib.pyplot as pltimport numpy as np# 에너지 계산 함수def calculate_and_plot_energy():    try:        length = float(entry_length.get())  # 상자 길이        mass = float(entry_mass.get())      # 입자 질량        max_n = int(entry_n.get())          # 최대 양자수        # 상자 속 입자의 에너지 계산 공식        h = 6.62607015e-34  # 플랑크 상수 (J*s)        n_values = np.ar..

import numpy as npimport matplotlib.pyplot as pltimport tkinter as tkfrom tkinter import simpledialog# 볼츠만 상수 (J/K)k_B = 1.380649e-23def boltzmann_distribution(energy, temperature):    # 볼츠만 분포 계산    return np.exp(-energy / (k_B * temperature))def plot_boltzmann_distribution(energy_range, temperature):    # 에너지 범위 생성    energies = np.linspace(0, energy_range, 500)    # 분포 계산    distribution = bo..

import tkinter as tkimport mathimport matplotlib.pyplot as pltimport numpy as npdef logistic_function(L, k, x0, x):    return L / (1 + math.exp(-k * (x - x0)))def plot_logistic(L, k, x0):    x_values = np.linspace(-10, 10, 200)  # X 범위 설정    y_values = L / (1 + np.exp(-k * (x_values - x0)))  # 로지스틱 함수 계산    plt.figure(figsize=(8, 6))    plt.plot(x_values, y_values, label=f"Logistic Function (L={..

import sysimport osimport timeimport cv2import numpy as npimport requestsimport subprocessimport platformfrom selenium import webdriverfrom selenium.webdriver.common.by import Byfrom selenium.webdriver.common.keys import Keysfrom selenium.webdriver.chrome.service import Servicefrom selenium.webdriver.support.ui import WebDriverWaitfrom selenium.webdriver.support import expected_conditions as ECf..

import sysimport cv2import numpy as npimport osimport subprocessimport platformfrom PyQt5.QtWidgets import QApplication, QWidget, QVBoxLayout, QPushButton, QFileDialog, QLabelfrom PyQt5.QtCore import Qtdef apply_shading(image, alpha=1.0, beta=50):    shaded_image = cv2.convertScaleAbs(image, alpha=alpha, beta=beta)    return shaded_imagedef create_video_with_shading(image_files, video_path, widt..

import numpy as npimport matplotlib.pyplot as pltfrom scipy.special import jn, ynimport tkinter as tkfrom tkinter import ttkdef plot_bessel_functions(order, x_min, x_max, num_points):    """    주어진 범위에서 베셀 함수(Jn, Yn)를 플로팅합니다.        Parameters:    - order: 베셀 함수의 차수 (n 값)    - x_min: x 값의 최소 범위    - x_max: x 값의 최대 범위    - num_points: x 범위 내의 포인트 수    """    x = np.linspace(x_min, x_max, num_poin..