python x=65 print(%d,%c%(x,x))
时间: 2024-03-14 15:47:19 浏览: 24
这段代码有语法错误,应该使用`printf`或者`print`函数来输出格式化字符串。如果想要输出ASCII码值为65的字符以及对应的十进制数,则可以使用以下代码:
```python
x = 65
print("%d, %c" % (x, x))
```
输出结果为:
```
65, A
```
其中,`%d`表示输出一个十进制整数,`%c`表示输出一个ASCII码对应的字符。`%`后面的括号中是要输出的变量值,需要使用元组的形式传递进去。在这个例子中,元组中包含了一个整数变量$x$和一个字符变量$x$对应的ASCII码值。
相关问题
你是我的python助手可以帮我写代码,https://www.bbiquge.net/modules/article/search.php?searchkey=%B6%B7%C2%DE%B4%F3%C2%BD&submit=%CB%D1%CB%F7这个网站获取源代码的文本header={'user-agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.0.0 Safari/537.36 Edg/113.0.1774.57', 'referer': 'https://www.bbiquge.net/modules/article/search.php?searchkey=%B6%B7%C2%DE%B4%F3%C2%BD&submit=%CB%D1%CB%F7&__cf_chl_tk=sloS0pzp6d1uAnYpALHcgIKs4rWjKqzfIYD4OXgK2xQ-1685714391-0-gaNycGzNDBA', 'cookie':' __gads=ID=80441a18d01e55cc-226b809157da00ce:T=1677758715:RT=1685678040:S=ALNI_MboIk-dUvtHydPucNSQ4k0MMKgdqg; __gpi=UID=00000bcfc88d3faa:T=1677758715:RT=1685678040:S=ALNI_MbpuTSDhTgrw2mMv6PXbbCwD8b5AA; cf_chl_2=206d854953a2c39; cf_clearance=wLK7rF.9158UjsnSnRTVDdbk6Fc.9HIhB.p695uIhHA-1685712522-0-160; jieqiVisitTime=jieqiArticlesearchTime%3D1685713325; Hm_lvt_007bc30c1abb0ffb7a93b4f3c8e10c5e=1685343344,1685415712,1685674211,1685713326; Hm_lpvt_007bc30c1abb0ffb7a93b4f3c8e10c5e=1685713326' }请帮我写
好的,你想要爬取这个网站的源代码文本,我可以帮你写一个Python爬虫程序来实现。以下是代码实现:
```python
import requests
url = 'https://www.bbiquge.net/modules/article/search.php?searchkey=%B6%B7%C2%DE%B4%F3%C2%BD&submit=%CB%D1%CB%F7'
headers = {
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.0.0 Safari/537.36 Edg/113.0.1774.57',
'referer': 'https://www.bbiquge.net/modules/article/search.php?searchkey=%B6%B7%C2%DE%B4%F3%C2%BD&submit=%CB%D1%CB%F7&__cf_chl_tk=sloS0pzp6d1uAnYpALHcgIKs4rWjKqzfIYD4OXgK2xQ-1685714391-0-gaNycGzNDBA',
'cookie': '__gads=ID=80441a18d01e55cc-226b809157da00ce:T=1677758715:RT=1685678040:S=ALNI_MboIk-dUvtHydPucNSQ4k0MMKgdqg; __gpi=UID=00000bcfc88d3faa:T=1677758715:RT=1685678040:S=ALNI_MbpuTSDhTgrw2mMv6PXbbCwD8b5AA; cf_chl_2=206d854953a2c39; cf_clearance=wLK7rF.9158UjsnSnRTVDdbk6Fc.9HIhB.p695uIhHA-1685712522-0-160; jieqiVisitTime=jieqiArticlesearchTime%3D1685713325; Hm_lvt_007bc30c1abb0ffb7a93b4f3c8e10c5e=1685343344,1685415712,1685674211,1685713326; Hm_lpvt_007bc30c1abb0ffb7a93b4f3c8e10c5e=1685713326'
}
response = requests.get(url, headers=headers)
if response.status_code == 200:
print(response.text)
else:
print('请求失败,状态码为:', response.status_code)
```
在这个程序中,我们使用了Python的requests库来发送HTTP请求,获取网页的源代码文本。其中,`url`是我们要爬取的网址,`headers`是我们发送请求时需要带上的请求头信息,包括User-Agent、Referer和Cookie等。我们使用requests.get()函数发送GET请求,并且通过判断响应状态码是否为200来判断请求是否成功。如果请求成功,我们就可以通过response.text属性来获取网页的源代码文本。
将这部分代码改为分步循环执行:for obj in tf.classify(net, img, roiL,min_scale=1, scale_mul=0.8, x_overlap=0.5, y_overlap=0.5): print("**********\nPredictions at [x=%d,y=%d,w=%d,h=%d]" % obj.rect()) img.draw_rectangle(obj.rect()) predictions_list = list(zip(labels, obj.output())) for i in range(len(predictions_list)): print("%s = %f" % (predictions_list[i][0], predictions_list[i][1])) num1=ord(predictions_list[i][0])-48 if predictions_list[i][1]>0.7 and num1==num: uart.write('1') print('11') B0=1 C1=1 C0=0 roiR=(89,77,40,40) for obj in tf.classify(net, img, roiR,min_scale=1, scale_mul=0.8, x_overlap=0.5, y_overlap=0.5): print("**********\nPredictions2 at [x=%d,y=%d,w=%d,h=%d]" % obj.rect()) img.draw_rectangle(obj.rect()) predictions_list2 = list(zip(labels, obj.output())) for p in range(len(predictions_list2)): print("%s = %f" % (predictions_list2[p][0], predictions_list2[p][1])) num2=ord(predictions_list2[p][0])-48 if predictions_list2[p][1]>0.7 and num2 == num: uart.write('2') print("22") B0=1 C1=1 C0=0
以下是将代码改为分步循环执行的示例:
```python
# 第一个循环
for obj in tf.classify(net, img, roiL, min_scale=1, scale_mul=0.8, x_overlap=0.5, y_overlap=0.5):
print("**********\nPredictions at [x=%d,y=%d,w=%d,h=%d]" % obj.rect())
img.draw_rectangle(obj.rect())
predictions_list = list(zip(labels, obj.output()))
for i in range(len(predictions_list)):
print("%s = %f" % (predictions_list[i][0], predictions_list[i][1]))
num1 = ord(predictions_list[i][0]) - 48
if predictions_list[i][1] > 0.7 and num1 == num:
uart.write('1')
print('11')
B0 = 1
C1 = 1
C0 = 0
# 第二个循环
roiR = (89, 77, 40, 40)
for obj in tf.classify(net, img, roiR, min_scale=1, scale_mul=0.8, x_overlap=0.5, y_overlap=0.5):
print("**********\nPredictions2 at [x=%d,y=%d,w=%d,h=%d]" % obj.rect())
img.draw_rectangle(obj.rect())
predictions_list2 = list(zip(labels, obj.output()))
for p in range(len(predictions_list2)):
print("%s = %f" % (predictions_list2[p][0], predictions_list2[p][1]))
num2 = ord(predictions_list2[p][0]) - 48
if predictions_list2[p][1] > 0.7 and num2 == num:
uart.write('2')
print("22")
B0 = 1
C1 = 1
C0 = 0
```
这样,原来的代码被分成了两个循环,分别执行不同的操作。注意,我只是将代码进行了分块并进行了调整,具体的语义和逻辑仍然需要根据实际需求来确认。
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