def remove_duplicate_files(directory): """删除目录中的重复文件""" hash_dict = defaultdict(list) print("正在扫描文件...") for file_path in Path(directory).rglob('*'): if file_path.is_file(): file_hash = calculate_file_hash(
# root_directory = "E:\\BaiduNetdiskDownload\\Music\\03调音师定制无损经典怀旧金曲" root_directory ="E:/BaiduNetdiskDownload/Music" remove_duplicate_music(root_directory)
.walk(directory_path):files_endwith_no_need_ext_in_dir={os.path.splitext(f)[0]:os.path.join(root_dir,f)forfinfilesiff.endswith(ext_no_need)}files_endwith_need_ext_in_dir={os.path.splitext(f)[0]:os.path.join(root_dir,f)forfinfilesiff.endswith(ext_need)}files_need_exchange=sor...
python_files = [fileforfileinos.listdir(directory)iffile.endswith('.py')] ifnotpython_files: print("No Python files found in the specified directory.") return # Analyze each Python file using pylint and flake8 forfileinpython_files: print(f"...
class Solution: def removeDuplicateLetters(self, s: str) -> str: # last_index[ch] 表示 ch 在 s 中的最后一个出现的位置 last_index: Dict[str, int] = { # 带下标遍历 s 中的字符,更新每个字符最后一次出现的位置 ch: i for i, ch in enumerate(s) } # is_in_stack[ch] 表示 ch 是否...
python_files=[fileforfileinos.listdir(directory)iffile.endswith('.py')]ifnot python_files:print("No Python files found in the specified directory.")return# Analyze each Python file using pylint and flake8forfileinpython_files:print(f"Analyzing file: {file}")file_path=os.path.join(directory...
The fourth field is the home directory, and the last field is the shell. Using a program such as John The Ripper from the BackTrack Live CD, we have discovered that Ryan's password is R431 and seems to be based on the last number in the GECOS field combined with the first character...
2和3,我现在用duplicate这个软件,同步的话使用File Synchronizer这个软件,代码的话不怎么用了 4、批量移动和复制文件的时候会遇到一个问题,就是若存在相同文件名的情况,这个时候可以在文件名后加“-1”,“-2”这种方式来解决,比之前的用随机时间的要好,那个产生的文件名太长了 ...
To auto-accept deletions, do yes | delete_duplicate_files.sh. This is a fast way of cleaning up your ~/Downloads directory and can be put your user crontab download_url_file.sh - downloads a file from a URL using wget with no clobber and continue support, or curl with atomic ...
摘要:车辆行人多目标检测与追踪系统结合了先进的YOLOv8目标检测技术与ByteTrack多目标跟踪算法,能够在实时视频画面中准确地检测并跟踪行人与车辆。这一系统对于改善交通安全、提高城市监控效率以及增强公共安全管理具有显著的重要性。本文基于YOLOv8深度学习框架,通过5607张图片,训练了一个进行车辆与行人的目标检测模型,准...