将下列代码转化为python代码map<string,string> word;//记录单词 map<string,int>m;//记录词频 map<string ,string>::iterator it; int level = 0; vector<string> ans; struct TrieNode{ bool isOver = false;//判断是不是单词结尾 char data = NULL; struct TrieNode *child[26];//下层节点 }; TrieNode *CreatTrie(void){ //建树 TrieNode *root = new TrieNode; for(int i = 0 ; i < 26 ; i++) { root->data = NULL; root->child[i] = NULL; } root->isOver = false; return root; };

### 修改后的Python代码实现 以下是经过优化和完善的Python代码，用于读取`.npy`文件并将其转换为特定格式的XML标签文件。如果 `<object>/<name>` 字段缺失，则会自动设置其值为 `'feiyan'`。 #### 代码实现 ```python import numpy as np import xml.etree.ElementTree as ET from xml.dom import minidom import os def prettify(elem): """Return a pretty-printed XML string for the given Element.""" rough_string = ET.tostring(elem, 'utf-8') reparsed = minidom.parseString(rough_string) return reparsed.toprettyxml(indent=" ") def generate_xml(filename, data, width=512, height=512, depth=3, class_name='feiyan', bbox=None): """ Generate an XML annotation file based on the input parameters. Args: filename (str): Name of the source file. data (dict): Dictionary containing metadata such as bounding box coordinates. width (int): Width of the image or dataset. height (int): Height of the image or dataset. depth (int): Depth of the image channels. class_name (str): Class label for objects; defaults to 'feiyan'. bbox (list): Bounding box information [xmin, ymin, xmax, ymax]. Returns: str: Pretty-printed XML string. """ # Define root element <annotation> annotation = ET.Element('annotation') # Add child elements under <annotation> folder = ET.SubElement(annotation, 'folder') folder.text = 'train' fname = ET.SubElement(annotation, 'filename') fname.text = filename path = ET.SubElement(annotation, 'path') path.text = f'D:\\RSNA\\data\\train\\{filename}' source = ET.SubElement(annotation, 'source') database = ET.SubElement(source, 'database') database.text = 'Unknown' size = ET.SubElement(annotation, 'size') w = ET.SubElement(size, 'width') h = ET.SubElement(size, 'height') d = ET.SubElement(size, 'depth') w.text = str(width) h.text = str(height) d.text = str(depth) segmented = ET.SubElement(annotation, 'segmented') segmented.text = '0' obj = ET.SubElement(annotation, 'object') name = ET.SubElement(obj, 'name') name.text = data.get('name', class_name) # Use default if missing pose = ET.SubElement(obj, 'pose') pose.text = 'Unspecified' truncated = ET.SubElement(obj, 'truncated') truncated.text = '0' difficult = ET.SubElement(obj, 'difficult') difficult.text = '0' bndbox = ET.SubElement(obj, 'bndbox') xmin = ET.SubElement(bndbox, 'xmin') ymin = ET.SubElement(bndbox, 'ymin') xmax = ET.SubElement(bndbox, 'xmax') ymax = ET.SubElement(bndbox, 'ymax') if bbox is None: bbox = [0, 0, width, height] xmin.text, ymin.text, xmax.text, ymax.text = map(str, bbox) return prettify(annotation) # Directory setup input_dir = r'I:\software\npy_files' # Path where .npy files reside output_dir = r'D:\RSNA\data\xml_annotations' # Output directory for XMLs if not os.path.exists(output_dir): os.makedirs(output_dir) # Process all .npy files in the specified directory for file in os.listdir(input_dir): if file.endswith('.npy'): filepath = os.path.join(input_dir, file) try: data_array = np.load(filepath) # Load .npy file contents # Example processing logic: Assume first four values represent bbox bbox_data = list(map(int, data_array[:4])) if len(data_array) >= 4 else [0, 0, 512, 512] # Construct dictionary with optional fields like 'name' meta_info = { 'name': 'custom_class' if 'custom_logic_here' else None, **{'bbox': bbox_data} } # Generate XML content xml_content = generate_xml( filename=file, data=meta_info, width=data_array[4] if len(data_array) > 4 else 512, height=data_array[5] if len(data_array) > 5 else 512, depth=int(data_array[6]) if len(data_array) > 6 else 3 ) # Write output XML file output_filepath = os.path.join(output_dir, f'{os.path.splitext(file)[0]}.xml') with open(output_filepath, 'w', encoding='utf-8') as out_file: out_file.write(xml_content) except Exception as e: print(f"Error processing {filepath}: {e}") print("All .npy files have been successfully converted to XML annotations.") ``` --- ### 关键点解析 1. **XML生成逻辑** - 使用 `xml.etree.ElementTree` 构建树形结构。 - 默认情况下，当 `<object>/<name>` 缺失时，填充默认值 `'feiyan'`[^1]。 2. **边界框处理** - 假设 `.npy` 文件前四个数值表示 `[xmin, ymin, xmax, ymax]` 边界框坐标。 - 若无有效数据，默认使用图像尺寸 `(0, 0)` 至 `(width, height)`[^2]。 3. **元数据提取** - 图像宽度 (`width`)、高度 (`height`) 和通道数 (`depth`) 可选自 `.npy` 数组后续部分；若不存在则采用预定义值。 4. **异常捕获** - 对于无法正常加载或处理的数据文件，记录错误日志以便排查问题。 --- ###

你使用正则表达式来提取字符串中的数字找到其中的最大值。以下是Python实现的代码示例： ``` import re html_string = '<div class="page"><b>1</><a href="/dongman/index_2.htm">2</a><a href="/dongman/index_3.htm">3</aa href="/dongman/index_4.htm">4</a><a href="/dongman/index_5.htm">5</a><a href="/dongman/index_6.htm">6</a><a href="/dongman/index_7.htm">7</a><a href="/dongman/index_8.htm">8</a><span class="slh">…</span><a href="/dongman/index_116.htm">116</a><a href="/dongman/index_2.htm" class="prev">下一页&gt;</a></div>' numbers = re.findall(r'\d+', html_string) max_number = max(map(int, numbers)) print(max_number) ``` 这段代码会输出数字中的最大值，即116。它首先使用正则表达式`r'\d+'`匹配字符串中的所有数字，然后将这些数字转换为整数并找到其中的最大值，最后打印出来。