self.haze_imgs_dir=os.listdir(os.path.join(path,'hazy'))

self.haze_imgs_dir=os.listdir(os.path.join(path,'hazy'))是一个Python代码行，它的作用是将路径`path`下的'hazy'文件夹中的所有文件名保存在变量`self.haze_imgs_dir`中。这样做的目的可能是为了后续的处理和操作。这行代码需要在已经导入了`os`模块的情况下才能正常运行。

相关问题

Exception in thread Thread-1: Traceback (most recent call last): File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/threading.py", line 926, in _bootstrap_inner self.run() File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/threading.py", line 870, in run self._target(*self._args, **self._kwargs) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dataloader/dataloader_iter.py", line 213, in _thread_loop self._thread_done_event) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dataloader/fetcher.py", line 121, in fetch data.append(self.dataset[idx]) File "PMRID_train_dehaze_230215.py", line 76, in __getitem__ haze=Image.open(path) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/PIL/Image.py", line 2912, in open fp = builtins.open(filename, "rb") IsADirectoryError: [Errno 21] Is a directory: '/home/aistudio/hazy/.ipynb_checkpoints'

这段错误信息显示了在一个名为Thread-1的线程中发生了异常，异常的类型是IsADirectoryError，错误信息为"[Errno 21] Is a directory: '/home/aistudio/hazy/.ipynb_checkpoints'"。具体来说，是在一个名为"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dataloader/fetcher.py"的文件的第121行代码中，调用了一个名为PMRID_train_dehaze_230215.py的文件中的__getitem__方法（即索引操作），并且在其中调用了PIL库中的Image.open方法打开一个文件，但是这个文件的路径指向的实际上是一个文件夹（目录），而不是一个文件，因此引发了异常。

将 for index, adcode_dict in enumerate(adcode_list, 1): adcode = adcode_dict["adcode"] full_url = base_url + adcode response = requests.get(full_url) json_data = response.json() try: weather_name = json_data.get("data").get("data")[0].get("live").get("weather_name") adcode_dict["weather_name"] = weather_name if weather_name == '晴': sunny += 1 elif weather_name == '多云': cloud += 1 elif weather_name == '阴': being_cloud += 1 elif '雨' in weather_name: rain += 1 else: haze += 1 print(index, adcode_dict) except Exception as e: print(e)变成一个生成器函数

可以将上述代码转化为一个生成器函数，如下所示：

import requests

def get_weather_info(adcode_list):
    base_url = "http://xxx.xxx.xxx.xxx/weather/"
    sunny = 0
    cloud = 0
    being_cloud = 0
    rain = 0
    haze = 0
    for index, adcode_dict in enumerate(adcode_list, 1):
        adcode = adcode_dict["adcode"]
        full_url = base_url + adcode
        response = requests.get(full_url)
        json_data = response.json()
        try:
            weather_name = json_data.get("data").get("data")[0].get("live").get("weather_name")
            adcode_dict["weather_name"] = weather_name
            if weather_name == '晴':
                sunny += 1
            elif weather_name == '多云':
                cloud += 1
            elif weather_name == '阴':
                being_cloud += 1
            elif '雨' in weather_name:
                rain += 1
            else:
                haze += 1
            yield index, adcode_dict
        except Exception as e:
            print(e)

这个生成器函数会依次返回每个地区的天气信息，并且会统计出晴、多云、阴、雨、霾的数量。你可以使用`next()`或者`for`循环来获取每个地区的天气信息。例如：

adcode_list = [...]  # 假设这里是一些地区的adcode列表
gen = get_weather_info(adcode_list)
for index, adcode_dict in gen:
    print(f"地区{index}的天气信息：{adcode_dict['weather_name']}")