Python 代码：使用欧氏距离匹配输入元素与文本元素

{"title": "Python 确认输入元素和文本元素的对应关系", "description": "这段代码用于确认输入元素和文本元素之间的对应关系。它通过计算输入元素和文本元素的坐标之间的正视距离来实现。", "keywords": "Python, 代码, 输入元素, 文本元素, 对应关系, 正视距离, 坐标", "content": "有如下两段代码： 1：inputs_attributes = {} inputs_attributes_ele = {} for element in inputs: if element.is_displayed() and element.get_attribute("type") != "hidden": key = element.get_attribute("value") location = element.location if key in inputs_attributes: if location not in [t["coordinate"] for t in inputs_attributes[key]]: inputs_attributes[key].append({"id": element.get_attribute("id"), "coordinate": location, "data-placeholder": element.get_attribute( "data-placeholder"), "type": element.get_attribute("type"), "accessible_name": element.get_attribute("accessible_name"), "class": element.get_attribute("class") }) 2：text_elements = driver.find_elements(By.XPATH, '//*[text()]') text_attributes = {} text_attributes_ele = {} for element in text_elements: try: text = element.text if text != '' and ' ' not in text: location = element.location if location['x'] == 0: continue tag_name = element.tag_name if text in text_attributes: if location not in [t["coordinate"] for t in text_attributes[text]]: text_attributes[text].append({"coordinate": location, "tag_name": tag_name}) 在现在我新建了一个函数def Fields_Input(inputs_attributes,text_attributes)，请帮助我补充，功能是将inputs_attributes和text_attributes里面"coordinate"对应的location正视距离最近的进行配对，保存在 dict 字典里，key 是inputs_attributes的 key，value是text_attributes的 key内容：以下是补充的函数代码：

import math

def Fields_Input(inputs_attributes, text_attributes):
    dict = {}
    for key in inputs_attributes:
        min_distance = math.inf
        closest_text = None
        for text_key in text_attributes:
            for input_attr in inputs_attributes[key]:
                for text_attr in text_attributes[text_key]:
                    input_coordinate = input_attr["coordinate"]
                    text_coordinate = text_attr["coordinate"]
                    distance = math.sqrt((input_coordinate["x"] - text_coordinate["x"]) ** 2 +
                                         (input_coordinate["y"] - text_coordinate["y"]) ** 2)
                    if distance < min_distance:
                        min_distance = distance
                        closest_text = text_key
        dict[key] = closest_text
    return dict

这个函数会通过inputs_attributes中的每个key，然后对应每个key找到与其"coordinate"对应的location正视距离最近的text_attributes的key，并将它们保存在dict字典中。最后，函数会返回这个字典。