Java ⁰

import numpy as np import matplotlib.pyplot as plt x = np.linspace(-10, 10, 100) # x 范围 y = 2*x + 5 plt.plot(x, y, label='y=2x+5') plt.xlabel('x') plt.ylabel('y') plt.title('y = 2x + 5') plt.grid(True) plt.legend() plt.show()

import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D # 定义 x1 和 x2 的范围 x1 = np.linspace(-5, 5, 100) x2 = np.linspace(-5, 5, 100) X1, X2 = np.meshgrid(x1, x2) # 计算 g(x) 和 y g = X1 + X2 + 1 Y = np.sin(g) # 绘制三维曲面 fig = plt.figure(figsize=(8,6)) ax = fig.add_subplot(111, projection='3d') ax.plot_surface(X1, X2, Y, cmap='viridis') ax.set_xlabel('x1') ax.set_ylabel('x2') ax.set_zlabel('y = sin(g(x))') ax.set_title('y = sin(x1 + x2 + 1)') plt.show()

from openai import OpenAI client = OpenAI( base_url='https://api-inference.modelscope.cn/v1', api_key='ms-d948e23a-7f3e-4757-8454-9558849b9fc1', # ModelScope Token ) # user_input = input("请输入你的问题：") def gen_text(msg,chat_h): chat_h.append({ 'role': 'user', 'content': msg, }) response = client.chat.completions.create( model='deepseek-ai/DeepSeek-V3.1', # ModelScope Model-Id, required messages=chat_h, stream=True ) chat_h.append({ 'role':'assistant', 'content':'' }) done_reasoning = False for chunk in response: reasoning_chunk = chunk.choices[0].delta.reasoning_content answer_chunk = chunk.choices[0].delta.content if reasoning_chunk != '': print(reasoning_chunk, end='',flush=True) elif answer_chunk != '': if not done_reasoning: print('\n\n === Final Answer ===\n') done_reasoning = True print(answer_chunk, end='',flush=True) chat_h[-1]['content'] += answer_chunk yield "",chat_h import gradio as gr with gr.Blocks() as web_app: chtgbot = gr.Chatbot(type='messages') msg = gr.Textbox() msg.submit(fn=gen_text,inputs=[msg,chtgbot],outputs=[msg,chtgbot]) web_app.launch()

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