解释以下代码: if(_TTMode != TTM_MAKE_UP) { // mode switched _IsMakeupInProgress = false; _IsTrippedDuringSession = 0; SetLogRecordInfo(EVENT_MAKE_UP); goto func_end; }
时间: 2023-04-03 18:04:12 浏览: 50
这段代码的意思是,如果当前的_TTMode不是TTM_MAKE_UP,那么表示模式已经切换,将_IsMakeupInProgress和_IsTrippedDuringSession重置为false和0,然后记录日志信息EVENT_MAKE_UP,最后跳转到函数结束。
相关问题
优化下面的代码:import requests import csv f = open('23、雪球股票.csv',mode='w',newline='',encoding='utf-8') w_header = csv.DictWriter(f, fieldnames= ['股票代码', '股票名称', '当前价', '涨跌额', '涨跌幅', '年初至今', '成交量', '成交额','换手率','市盈率','股息率','市值']) w_header.writeheader() url = 'https://xueqiu.com/hq#type=sha&exchange=CN&firstName=%E6%B2%AA%E6%B7%B1%E8%82%A1%E5%B8%82&secondName=%E6%8E%92%E8%A1%8C&market=CN&order=desc&order_by=percent&plate=%E6%B2%AAA%E6%B6%A8%E5%B9%85%E6%A6%9C' headers = { "accept": "application/json, text/plain, */*", "accept-encoding": "gzip, deflate, br", "accept-language": "zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6", "cache-control": "no-cache", "cookie": "联络互动", "origin": "https://xueqiu.com", "pragma": "no-cache", "referer": "https://xueqiu.com/hq", "sec-ch-ua": "\"Chromium\";v=\"110\", \"Not A(Brand\";v=\"24\", \"Microsoft Edge\";v=\"110\"", "sec-ch-ua-mobile": "?0", "sec-ch-ua-platform": "\"Windows\"", "sec-fetch-dest": "empty", "sec-fetch-mode": "cors", "sec-fetch-site": "same-site", "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36 Edg/110.0.1587.46" } res = requests.get(url=url,headers=headers) json_data = res.json() lis = json_data['data']['list'] dit = {} for i in lis: dit['股票代码'] = i['symbol'] dit['股票名称'] = i['name'] dit['当前价'] = i['current'] dit['涨跌额'] = i['chg'] dit['涨跌幅'] = i['percent'] dit['年初至今'] = i['current_year_percent'] dit['成交量'] = i['volume'] dit['成交额'] = i['amount'] dit['换手率'] = i['turnover_rate'] dit['市盈率'] = i['pe_ttm'] dit['股息率'] = i['dividend_yield'] dit['市值'] = i['float_market_capital'] # print(dit) w_header.writerow(dit) print('保存完成!')
请求url = requests.get(url=url, 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'}) json_data=请求url.json()['data']['list'] for item in json_data: w_header.writerow({'股票代码': item['symbol'], '股票名称': item['name'], '当前价': item['current'], '涨跌额': item['chg'], '涨跌幅': item['percent'], '年初至今': item['start_date'], '成交量': item['volume'], '成交额': item['amount'], '换手率': item['turnover_rate'], '市盈率': item['pe_ttm'], '股息率': item['dividend_yield'], '市值': item['market_cap']}) f.close()
优化后的代码:
import requests
import csv
url = 'https://xueqiu.com/hq'
# 添加headers
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'}
# 发送请求
response = requests.get(url=url, headers=headers)
if response.status_code == 200:
# 提取json数据
json_data = response.json()['data']['list']
# 创建csv文件,并写入表头
with open('23、雪球股票.csv', mode='w', newline='', encoding='utf-8') as f:
w_header = csv.DictWriter(f, fieldnames=['股票代码', '股票名称', '当前价', '涨跌额', '涨跌幅', '年初至今', '成交量', '成交额', '换手率', '市盈率', '股息率', '市值'])
w_header.writeheader()
# 写入数据行
for item in json_data:
w_header.writerow({'股票代码': item['symbol'], '股票名称': item['name'], '当前价': item['current'], '涨跌额': item['chg'], '涨跌幅': item['percent'], '年初至今': item['start_date'], '成交量': item['volume'], '成交额': item['amount'], '换手率': item['turnover_rate'], '市盈率': item['pe_ttm'], '股息率': item['dividend_yield'], '市值': item['market_cap']})
print('数据写入完成。')
else:
print('请求失败,请检查网络或URL地址。')
用Windows“记事本”创建一个文本文件,其中每行包含一段英文。试读出文件的全部内容,并判断:(1)该文本文件共有多少行? (2)文件中以大写字母P开头的有多少行? (3)一行中包含字符最多的和包含字符最少的分别在第几行? 段落格式v—字体·号·BI U A.三三三Q TTM”0</>
可以使用Python来读取文本文件并进行分析。假设这个文本文件名为“textfile.txt”,代码如下:
```python
# 打开文件
with open("textfile.txt", "r") as f:
# 读取全部内容并按行划分
lines = f.readlines()
# 统计总行数
total_lines = len(lines)
# 统计以大写字母P开头的行数
p_lines = 0
for line in lines:
if line.startswith("P"):
p_lines += 1
# 统计包含字符最多和最少的行号
max_char_count = 0
max_char_line = 0
min_char_count = float("inf")
min_char_line = 0
for i, line in enumerate(lines):
char_count = len(line.strip())
if char_count > max_char_count:
max_char_count = char_count
max_char_line = i + 1
if char_count < min_char_count:
min_char_count = char_count
min_char_line = i + 1
# 输出结果
print("总行数:", total_lines)
print("以大写字母P开头的行数:", p_lines)
print("包含字符最多的行号:", max_char_line)
print("包含字符最少的行号:", min_char_line)
```
需要注意的是,如果文本文件中有空行,也会被算作一行。