import numpy as np import math from datetime import datetime, timedelta from pymoo.core.problem import elementwiseproblem k_legal = 0.0005624701263657791 b=6371 b=7371 phi=30.35 pi=3.1415926 standard_meridian=120 mean1=9.38167 dev1=0.22401 mean2=4816.70238 dev2=164.0126 def calculate_length(phi, delta, omega, b, b): phi_rad = np.radians(phi) delta_rad = np.radians(delta) omega_rad = np.radians(omega) r_prime = b * np.sin(phi_rad - delta_rad) r_double_prime = b * np.cos(phi_
请问您是希望我为您解释这段代码的作用、优化它,还是基于这段代码为您补充一些相关的内容呢? [2024-08-04 10:23:08 | AI写代码神器 | 30点数解答]
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- [字节豆包] import numpy as np import math from datetime import datetime, timedelta from pymoo.core.problem import elementwiseproblem k_legal = 0.0005624701263657791 b=6371 b=7371 phi=30.35 pi=3.1415926 standard_meridian=120 mean1=9.38167 dev1=0.22401 mean2=4816.70238 dev2=164.0126 def calculate_length(phi, delta, omega, b, b): phi_rad = np.radians(phi) delta_rad = np.radians(delta) omega_rad = np.radians(omega) r_prime = b * np.sin(phi_rad - delta_rad) r_double_prime = b * np.cos(phi_(30点数解答 | 2024-08-04 10:23:08)272
- [字节豆包] ```python import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D fig = plt.figure(figsize=(12, 10)) ax = fig.add_subplot(111, projection='3d') # 玫瑰花瓣参数方程 u = np.linspace(0, 2*np.pi, 100) v = np.linspace(0, np.pi, 50) U, V = np.meshgrid(u, v) # 冰晶玫瑰核心结构 R = 1 + 0.3*np.cos(5*U) # 5瓣玫瑰 X = R * np.sin(V) * np.cos(U) Y = R * np.sin(V) * np.sin(U) Z = R * np.cos(V) # 添加冰晶细节 ice_factor = 0.2 * np.sin(8*U) * np.sin(4*V) X += ice_factor * np.sin(V) * np.cos(U) Y (897点数解答 | 2025-12-12 23:16:19)45
- [字节豆包] 用Java输出:# 读取输入的三个浮点数 a, b, c a, b, c = map(float, input().split()) # 计算根的判别式 delta delta = b ** 2 - 4 * a * c if delta > 0: # 当 delta 大于 0 时,方程有两个不同的解 x1 = (-b + delta ** 0.5) / (2 * a) x2 = (-b - delta ** 0.5) / (2 * a) # 按照格式输出结果,保留两位小数 print(f"x1={x1:.2f} x2={x2:.2f}") elif delta == 0: # 当 delta 等于 0 时,方程有一个解 x1 = -b / (2 * a) # 按照格式输出结果,保留两位小数 print(f"x1={x1:.2f}") else: # 当 delta 小于 0 时,方程无解 print("No answer") (329点数解答 | 2025-12-10 22:05:16)31
- [字节豆包] #include <stdio.h> #include <math.h> #define pi 3.14159265358979323846 double meridianarclength(double b) { double a = 6378140.0; double e2 = 0.00669438002290; double m = a * (1 - e2) * (1 - e2 * sin(b) * sin(b)) * pow(1 - e2 * sin(b) * sin(b), 1.5); double n = a / sqrt(1 - e2 * sin(b) * sin(b)); return m + n * sin(b) * cos(b) * pow(tan(b),2) /2 + n * sin(b) * pow(cos(b), 3) * (5 - pow(tan(b), 2) + 9 * e2 * pow(cos(b), 2)) * pow(tan(b), 4) / 24; } double calculatebaselatitude(double x,(48点数解答 | 2024-11-21 13:05:21)236
- [阿里通义] #include <stdio.h> #include <math.h> #define pi 3.14159265358979323846 double meridianarclength(double b) { double a = 6378140.0; double e2 = 0.00669438002290; double m = a * (1 - e2) * (1 - e2 * sin(b) * sin(b)) * pow(1 - e2 * sin(b) * sin(b), 1.5); double n = a / sqrt(1 - e2 * sin(b) * sin(b)); return m + n * sin(b) * cos(b) * pow(tan(b),2) /2 + n * sin(b) * pow(cos(b), 3) * (5 - pow(tan(b), 2) + 9 * e2 * pow(cos(b), 2)) * pow(tan(b), 4) / 24; } double calculatebaselatitude(double x, double y)(565点数解答 | 2024-11-21 13:08:38)240
- [字节豆包] ```python import numpy as np import matplotlib.pyplot as plt from matplotlib.animation import FuncAnimation from mpl_toolkits.mplot3d import Axes3D # 设置图形 fig = plt.figure(figsize=(10, 8)) ax = fig.add_subplot(111, projection='3d') ax.set_facecolor('black') fig.patch.set_facecolor('black') # 爱心参数方程 def heart(t): x = 16 * np.sin(t) 3 y = 13 * np.cos(t) - 5 * np.cos(2*t) - 2 * np.cos(3*t) - np.cos(4*t) return x, y # 生成爱心形状的点 t = np.linspace(0, 2*np.pi, 1000) x, y = heart(t) z = np.(1487点数解答 | 2025-08-07 11:24:56)135
- [DeepSeek] ```python import numpy as np import matplotlib.pyplot as plt from matplotlib.animation import FuncAnimation from mpl_toolkits.mplot3d import Axes3D # 设置图形 fig = plt.figure(figsize=(10, 8)) ax = fig.add_subplot(111, projection='3d') ax.set_facecolor('black') fig.patch.set_facecolor('black') # 爱心参数方程 def heart(t): x = 16 * np.sin(t) 3 y = 13 * np.cos(t) - 5 * np.cos(2*t) - 2 * np.cos(3*t) - np.cos(4*t) return x, y # 生成爱心形状的点 t = np.linspace(0, 2*np.pi, 1000) x, y = heart(t) z = np.(130点数解答 | 2025-08-29 21:24:33)131
- [字节豆包] package com.bjrl.matrix.controller; import com.bjrl.common.annotation.Log; import com.bjrl.common.core.controller.BaseController; import com.bjrl.common.core.domain.AjaxResult; import com.bjrl.common.core.domain.entity.AccountNumberInfo; import com.bjrl.common.core.domain.entity.MatrixAncestors; import com.bjrl.common.core.page.TableDataInfo; import com.bjrl.common.enums.BusinessType; import com.bjrl.common.utils.poi.ExcelUtil; import com.bjrl.matrix.domain.PrintConfig; import com.bjrl.matrix.d(698点数解答 | 2025-09-15 10:13:12)126
- [字节豆包] 题目描述 输出 <math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>n</mi> <mo>!</mo> </math> 的不同因子的个数? 输入 一个整数<math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>n</mi> </math> 输出 输出<math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>n</mi> <mo>!</mo> </math> 的因子个数 样例输入 复制 3 样例输出 复制 4 提示<math xmlns="http://www.w3.org/1998/Math/MathML"> <mn>1</mn> <mo><=</mo> <mi>n</mi> <mo><=</mo> <msup> <mn>10</mn> <mrow data-mjx-texclass="ORD"> <mn>5</mn> </mrow> <(731点数解答 | 2026-01-12 12:15:34)83
- [DeepSeek] 题目描述 通常,人们习惯将所有<math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>n</mi> </math> 位二进制串按照字典序排列,例如所有 2 位二进制串按字典序从小到大排列为:00,01,10,11。 格雷码(Gray Code)是一种特殊的 <math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>n</mi> </math> 位二进制串排列法,它要求相邻的两个二进制串间**恰好**有一位**不同**,特别地,第一个串与最后一个串也算作相邻。 所有 2 位二进制串按格雷码排列的一个例子为:00,01,11,10。 <math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>n</mi> </math>位格雷码不止一种,下面给出其中一种格雷码的生成算法: 1. 1 位格雷码由两个 1 位二进制串组成,顺序为:0,1。 2.<math xmlns="http://www.w3.org/1998/Mat(726点数解答 | 2026-01-13 12:31:37)31
- [阿里通义] import math class ball: def __init__(self, radius): """ 初始化球体对象,设置半径。 """ self.radius = radius def surface_area(self): """ 计算并返回球的表面积。 表面积公式:4 * pi * r^2 """ return 4 * math.pi * self.radius ** 2 def volume(self): """ 计算并返回球的体积。 体积公式:(4/3) * pi * r^3 """ return (4/3) * math.pi * self.radius ** 3 # 在评测文件中将这样调用这个类 ball = ball(eval(input())) print("球的半径:{:.2f}".format(ball(297点数解答 | 2024-11-28 21:18:01)242
- [DeepSeek] import os import datetime from flask import Flask, request, jsonify import requests from flask_cors import CORS import re import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt import numpy as np import base64 from io import BytesIO import pandas as pd import traceback # 添加traceback以获取详细错误信息 plt.rcParams["font.sans-serif"] = ["SimHei"] app = Flask(__name__) CORS(app) FASTGPT_API_URL = 'http://localhost:3000/api/v1/chat/completions' FASTGPT_API_KEY = 'fastgpt-gWzitHpBa8XRr0q(713点数解答 | 2025-06-18 16:00:34)190