NT68F633 8-Bit Microcontroller Technical Documentation

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"NT68F633_V0.91_20030120.pdf 是一份关于8位微控制器NT68F633的技术手册，该手册详细介绍了该微控制器的特性、功能、结构图、引脚配置、内存分配、系统寄存器、处理器F8031、振荡器、复位机制、输入/输出端口、中断、A/D转换器以及PWM/D/A转换器等关键信息。这份文档的版本为V1.0，发布日期为2003年5月20日。" NT68F633是一款专为LCD显示器设计的8位微控制器，其主要特点包括： 1. **64K Flash Memory**：该芯片内置了64KB的闪存，用于存储程序代码和其他数据。 2. **F8031 Microprocessor**：NT68F633基于F8031处理器核心，这是一种经典的8位MCU内核，具有高效的处理能力，适合于嵌入式系统中的简单控制任务。 3. **Oscillator (OSC)**：手册详细描述了微控制器的振荡器配置，包括内部和外部振荡模式，这对于设置系统的时钟频率至关重要。 4. **Reset**：该部分涵盖了复位功能，包括上电复位、手动复位和看门狗复位等，确保系统在异常情况下能正确启动。 5. **Input/Output Ports (I/O Ports)**：I/O端口是微控制器与外部设备通信的关键，手册详细列出了各端口的配置和功能，以及如何设置它们作为输入或输出。 6. **Interrupts**：中断系统允许微控制器对突发事件作出快速响应，手册详细解释了各种中断源和中断服务例程。 7. **A/D Converters**：集成的A/D转换器允许NT68F633将模拟信号转换为数字信号，对于处理来自传感器或其他模拟信号源的数据至关重要。 8. **PWM/D/A Converters**：PWM（脉宽调制）和D/A（数字模拟）转换器则提供了输出模拟信号的能力，适用于电机控制、音频信号处理等应用。 此外，手册还包括了微控制器的内存分配信息，如程序存储区、数据存储区的布局，以及系统寄存器的详细说明，这些寄存器用于控制和监控微控制器的运行状态。 由于标签提到"tftp"，虽然在摘要信息中未直接提及，但可能暗示NT68F633微控制器可以通过TFTP（Trivial File Transfer Protocol）进行固件更新或远程编程，这是在嵌入式系统中常见的固件升级方法。 这份手册为开发者提供了全面的参考资料，帮助他们理解和使用NT68F633微控制器来设计和实现LCD显示器或其他相关嵌入式系统。

Clodop_Setup_for_Win32NT.zip

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标题中的"ClodOP_Setup_for_Win32NT.zip"是一个针对Windows 32位操作系统的安装包，这表明它是一款专为32位Windows系统设计的软件。"ClodOP"通常指的是Cloud Print Operation，它是一个云打印解决方案，允许用户通过...

CLodop_Setup_for_Win64NT_4.115EN.exe

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CLodop_Setup_for_Win64NT_4.115EN.exe

CLodopPrint_Setup_for_Win32NT_2.047_绝对可用.exe

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CLodopPrint_Setup_for_Win32NT_2.047_绝对可用.exe

import requests from bs4 import BeautifulSoup import re import pandas as pd url = 'https://music.163.com/discover/toplist?id=19723756' headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3' } response = requests.get(url, headers=headers) soup = BeautifulSoup(response.text, 'html.parser') song_list = soup.find('ul', {'class': 'f-hide'}) song_items = song_list.find_all('li') data = [] for song_item in song_items: song_title = song_item.find('a') if song_title: song_title = song_title.text.strip() else: song_title = '' song_id = song_item.find('a') if song_id: song_id = song_id['href'].split('=')[1] else: song_id = '' song_url = f'https://music.163.com/song/media/outer/url?id={song_id}.mp3' song_artists = song_item.find('span', {'class': 's-fc3'}) if song_artists: song_artists = song_artists.text.strip() song_artists = re.sub('\s+', ' ', song_artists) song_artists = re.sub('/', ', ', song_artists) else: song_artists = '' data.append([song_title, song_url, song_artists]) df = pd.DataFrame(data, columns=['Title', 'URL', 'Artists']) df.to_excel('song_list.xlsx', index=False)

2023-06-13 上传
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3' } response = requests.get(url, headers=headers) soup = BeautifulSoup...

import requests from bs4 import BeautifulSoup import openpyxl class LianJiaSpider(): def __init__(self): self.url = 'https://bj.lianjia.com/ershoufang/pg{0}/' self.headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.131 Safari/537.36 SLBrowser/8.0.0.12022 SLBChan/109'} def send_request(self, url): resp = requests.get(url, headers=self.headers) if resp.status_code == 200: return resp def parse_html(self, resp): lst = [] html = resp.text bs = BeautifulSoup(html, 'lxml') ul = bs.find('ul', class_='sellListContent') li_list = ul.find_all('li') for item in li_list: title = item.find('div', class_='title').text positionInfo = item.find('div', class_='positionInfo').text address = item.find('div', class_='address').text followInfo = item.find('div', class_='followInfo').text tag = item.find('div', class_='tag').text totalPrice = item.find('div', class_='totalPrice totalPrice2').text unitPrice = item.find('div', class_='unitPrice').text # print(unitPrice) lst.append((title, positionInfo, address, followInfo, tag, totalPrice, unitPrice)) print(lst) self.save(lst) def save(self, lst): wb = openpyxl.Workbook() sheet = wb.active for row in lst: sheet.append(row) continue wb.save('D:/爬虫/链家.csv') def start(self): for i in range(1, 5): full_url = self.url.format(i) resp = self.send_request(full_url) #print(resp.text) self.parse_html(resp) if __name__ == '__main__': lianjia = LianJiaSpider() lianjia.start()使用以上代码爬取数据保存到文件中只显示最后一页30条数据，前面页码的数据都被覆盖了，如何更改

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self.headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.131 Safari/537.36 SLBrowser/8.0.0.12022 SLBChan/109'} self.wb = openpyxl....

import requests from bs4 import BeautifulSoup import pandas as pd get_house_info (url) eaders = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'} response = requests.get(url, headers=headers) soup = BeautifulSoup(response.text, 'html.parser') house_list = soup.find_all('li', class_='clear') house_info_list :list[dict[str,int]]= [] for i,house in enumerate(house_list,start=1): info = {} info['id'] = i info['title'] = house.find('div', class_='title').text.strip() info['positionInfo'] = house.find('div', class_='positionInfo').text.strip() info['address'] = house.find('div', class_='address').text.strip() info['followInfo'] = house.find('div', class_='followInfo').text.strip() info['flood'] = house.find('div', class_='flood').text.strip() info['priceInfo'] = house.find('div', class_='priceInfo').text.strip() house_info_list.append(info) return house_info_list save_to_excel(house_info_list, file_name) df = pd.DataFrame(house_info_list) df.to_excel(file_name, index=False) if __name__ == '__main__': url = 'https://nj.lianjia.com/ershoufang/' #修改链接为当地链接 house_info_list = [] for i in range(1, 21): # 收集20页的数据，大约400条 page_url = f'{url}pg{i}/' house_info_list.extend(get_house_info(page_url)) save_to_excel(house_info_list, 'house.xlsx') 怎么修改return_info_house的错误

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'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3' } response = requests.get(url, headers=headers) soup = ...

import requestsfrom bs4 import BeautifulSoup# 构造请求urlurl = 'https://www.tianqi.com/zhongmou/10/'# 发送GET请求headers={'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36 Edg/114.0.1823.43'}response = requests.get(url,headers=headers)# 判断请求是否成功if response.status_code == 200: # 解析HTML页面 soup = BeautifulSoup(response.text, 'html.parser') # 获取天气信息 city = soup.find_all('ul class_="weaul"', class_='crumbs fl').find_all('a')[-1].text.strip() weather = soup.find_all('ul class_="weaul"', class_='wea').text.strip() temperature = soup.fin_alld('ul class_="weaul"', class_='tem').span.text.strip() wind = soup.find_all('ul class_="weaul"', class_='').i.text.strip() humidity = soup.find_all('ul class_="weaul"', class_='humidity').span.text.strip() # 将天气信息写入文本文件 with open('weather.txt', 'w', encoding='utf-8') as f: f.write(f"城市：{city}\n天气：{weather}\n温度：{temperature}\n风力：{wind}\n湿度：{humidity}")else: print("请求天气预报数据失败！")检查并修改以上程序

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headers={'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36 Edg/114.0.1823.43'} response = requests.get(url,headers=headers) ...

爬取https://www.bilibili.com/video/BV1SQ4y1V7do/?spm_id_from=333.999.0.0&vd_source=6e9299676612960e729网页的所有评论用户信息和评论时间并保存为CSV文件的代码

2024-11-04 上传
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3' } response = requests.get(url, headers=headers) soup = ...

修改上述OpenGL代码，实现正确的递归调用Vector3f refractionColor(0.0, 0.0, 0.0); if (mtl._transparent) { /*printf("_transparent"); getchar();*/ //折射光，调用递归 Vector3f refractDir; float ni_over_nt; bool refract; if (ray.Direction().dot(closest_hp.normal) < 0) //入射 { ni_over_nt = 1.0 / mtl._refraction; refract = Refract(ray.Direction(), closest_hp.normal, ni_over_nt, refractDir); } else//出射 { ni_over_nt = mtl._refraction; refract = Refract(ray.Direction(), -closest_hp.normal, ni_over_nt, refractDir); } if (refract) { Ray refractRay(closest_hp.position, refractDir); refractRay._origin = closest_hp.position + 1e-2 * refractDir.normalized(); //请把下面代码改掉，填入正确的递归调用 refractionColor = Vector3f(0, 0, 0); //请把上面代码改掉，填入正确的递归调用 } else { refractionColor = Vector3f(0, 0, 0); } //cout << "refractionColor" << refractionColor << endl; } color = color + 0.2 * reflectColor + 0.9 * refractionColor; if (color[0] > 1.0) color[0] = 1.0; if (color[1] > 1.0) color[1] = 1.0; if (color[2] > 1.0) color[2] = 1.0; return color; }

2023-06-09 上传
Vector3f refractionColor(0.0, 0.0, 0.0); if (mtl._transparent && depth < MAX_DEPTH) { Vector3f refractDir; float ni_over_nt; bool refract; if (ray.Direction().dot(closest_hp.normal) ) { ni_over_...

import requests from bs4 import BeautifulSoup import csv def get_top250_movies(): url = 'https://movie.douban.com/top250' headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'} movie_info_list = [] for i in range(0, 250, 25): params = {'start': str(i)} res = requests.get(url, headers=headers, params=params) soup = BeautifulSoup(res.text, 'html.parser') movie_list = soup.find_all('div', class_='info') for movie in movie_list: title = movie.find('span', class_='title').text info = movie.find('div', class_='bd').p.text.strip().split('\n') director = info[0][4:] actors = info[1][3:] year = info[1][-5:-1] rating = movie.find('span', class_='rating_num').text comment_num = movie.find('div', class_='star').find_all('span')[3].text[:-3] movie_info_list.append([title, director, actors, year, rating, comment_num]) return movie_info_list def save_to_csv(movie_info_list): with open('movie_info.csv', 'w', newline='', encoding='utf-8-sig') as f: writer = csv.writer(f) writer.writerow(['电影名称', '导演', '演员', '上映年份', '评分', '评论数']) for movie_info in movie_info_list: writer.writerow(movie_info) if __name__ == '__main__': movie_info_list = get_top250_movies() save_to_csv(movie_info_list) print('电影信息保存成功！')将此代码运行成功后保存的六个信息分别单独成一列

2023-05-21 上传
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3' } movie_info_list = [] for i in range(0, 250, 25): params = {'...
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