def get_data(self, name): if 'coco' in name: data_dir = DatasetCatalog.DATA_DIR attrs = DatasetCatalog.DATASETS[name] args = dict( root=join(data_dir, attrs['img_dir']), ann_file=join(data_dir, attrs['ann_file']), ) return dict( factory='COCODataset', args=args, ) else: raise RuntimeError('Only support coco format dataset now!')解释这段代码

这段代码是一个名为`get_data`的方法。它接受一个参数`name`作为输入。如果输入的`name`中包含字符串'coco'，则会执行以下操作：

1. 获取数据目录路径`data_dir`，该路径来自`DatasetCatalog.DATA_DIR`。
2. 获取数据集属性`attrs`，该属性来自`DatasetCatalog.DATASETS`字典中的`name`键对应的值。
3. 创建一个字典`args`，包含以下键值对：
- 'root'：数据集图片目录的路径，由`data_dir`和`attrs['img_dir']`拼接而成。
- 'ann_file'：数据集注释文件的路径，由`data_dir`和`attrs['ann_file']`拼接而成。
4. 返回一个字典，包含以下键值对：
- 'factory'：数据集的工厂类名称，此处为'COCODataset'。
- 'args'：包含数据集参数的字典。

如果输入的`name`不包含'coco'字符串，则会抛出一个运行时错误，提示只支持COCO格式的数据集。

相关问题

优化下面代码：def running_state_post_data(**kw): attrs = running_state_ctrl.RunningState._wsme_attributes running_state = db_utils.get_test_running_state(**kw) fields = [field.key for field in attrs] post_data = {k: v for k, v in running_state.items() if k in fields} post_data.update({k: v for k, v in kw.items() if k in fields}) return post_data

下面是优化后的代码：

def running_state_post_data(**kw):
    running_state = db_utils.get_test_running_state(**kw)
    post_data = {k: v for k, v in running_state.items() if k in running_state_ctrl.RunningState._wsme_attributes}
    post_data.update({k: v for k, v in kw.items() if k in running_state_ctrl.RunningState._wsme_attributes})
    return post_data

在优化后的代码中，我将运行状态的属性获取移动到了字典推导式中，避免了多次访问 `running_state_ctrl.RunningState._wsme_attributes`。这样可以提高代码的效率。

import http.clientfrom html.parser import HTMLParserimport argparsefrom concurrent.futures import ThreadPoolExecutorimport threadingprefix = "save/"readed_path = set()cur_path = []new_path = []lock = threading.Lock()cond=threading.Condition()class MyHttpParser(HTMLParser): def __init__(self): HTMLParser.__init__(self) self.tag = [] self.href = "" self.txt = "" def handle_starttag(self, tag, attrs): self.tag.append(tag) # print("start tag in list :" + str(self.tag)) if tag == "a": for att in attrs: if att[0] == 'href': self.href = att[1] def handle_endtag(self, tag): if tag == "a" and len(self.tag) > 2 and self.tag[-2] == "div": print("in div, link txt is %s ." % self.txt) print("in div, link url is %s ." % self.href) if not self.href in readed_path: readed_path.add(self.href) lock.acquire() new_path.append(self.href) lock.release() # print("end tag in list :" + str(self.tag)) self.tag.pop(-1) def handle_data(self, data): if len(self.tag) >= 1 and self.tag[-1] == "a": self.txt = datadef LoadHtml(path, file_path): if len(file_path) == 0: file_path = "/" conn = http.client.HTTPConnection(path) try: conn.request("GET", file_path) response = conn.getresponse() print(response.status, response.reason, response.version) data = response.read().decode("utf-8") if response.status == 301: data = response.getheader("Location") lock.acquire() new_path.append(data) lock.release() data = "" #print(data) conn.close() return data except Exception as e: print(e.args)怎么设置文件的保存路径

可以在代码中添加一个全局变量 `prefix`，然后在 `LoadHtml()` 函数中拼接上该路径，如下所示：

def LoadHtml(path, file_path):
    if len(file_path) == 0:
        file_path = "/"
    conn = http.client.HTTPConnection(path)
    try:
        conn.request("GET", file_path)
        response = conn.getresponse()
        print(response.status, response.reason, response.version)
        data = response.read().decode("utf-8")
        if response.status == 301:
            data = response.getheader("Location")
            lock.acquire()
            new_path.append(data)
            lock.release()
            data = ""
        # 保存文件
        file_name = file_path.replace("/", "_") + ".html"
        file_path_with_prefix = prefix + file_name
        with open(file_path_with_prefix, "w", encoding="utf-8") as f:
            f.write(data)
        conn.close()
        return data
    except Exception as e:
        print(e.args)

这里将文件名设为 URL 中的路径部分（不含域名）用下划线连接起来，然后添加前缀 `prefix`，最终形成完整的文件路径。在保存文件时，使用 `with open()` 语句打开文件，确保文件关闭。