3.14 Simplify Path

http://www.cnblogs.com/TenosDoIt/p/3465328.html


Given an absolute path for a file (Unix-style), simplify it.

For example, 
path = "/home/", => "/home" 
path = "/a/./b/../../c/", => "/c"

 

Corner Cases:

  • Did you consider the case where path = "/../"
    In this case, you should return "/".
  • Another corner case is the path might contain multiple slashes '/' together, such as "/home//foo/"
    In this case, you should ignore redundant slashes and return "/home/foo".

分析:需要注意的是/…可以表示名字为…的路径,路径的最后可能没有/。可以利用栈,碰到正常路径压入栈中,碰到/.不作任何操作,碰到/..删除栈顶元素。下面代码中用数组来模拟栈                                        

class Solution {
public:
    string simplifyPath(string path) {
        int len = path.size();
        vector<string> vec;
        int i = 0, index = 0;
        while(i < len)
        {
            int j = path.find('//', i + 1);
            string tmp;
            if(j != string::npos)
                tmp = path.substr(i, j - i);
            else {tmp = path.substr(i, len); j = len;}
         
            if(tmp == "/");
            else if(tmp == "/.");
            else if(tmp == "/..")
                {if(!vec.empty())vec.pop_back();}
            else
                vec.push_back(tmp);
            i = j;
        }
        if(vec.empty())return "/";
        else
        {
            string res;
            for(int i = 0; i < vec.size(); i++)
                res += vec[i];
            return res;
        }
    }
};


(venv) PS D:\rubbish\duckov-bot\src> & &#39;d:\rubbish\duckov-bot\venv\Scripts\python.exe&#39; &#39;c:\Users\Administrator\.vsc ode\extensions\ms-python.debugpy-2025.18.0-win32-x64\bundled\libs\debugpy\launcher&#39; &#39;52462&#39; &#39;--&#39; &#39;D:\rubbish\duckov-bot\src\YOLOv8 Train.py&#39; New https://pypi.org/project/ultralytics/8.3.240 available Update with &#39;pip install -U ultralytics&#39; Ultralytics 8.3.239 Python-3.14.2 torch-2.9.1+cpu CPU (12th Gen Intel Core i5-12600KF) engine\trainer: agnostic_nms=False, amp=True, augment=False, auto_augment=randaugment, batch=16, bgr=0.0, box=7.5, c ache=False, cfg=None, classes=None, close_mosaic=10, cls=0.5, compile=False, conf=None, copy_paste=0.0, copy_paste_mode=flip, cos_lr=False, cutmix=0.0, data=dataset/data.yaml, degrees=0.0, deterministic=True, device=cpu, dfl=1.5, dnn=False, dropout=0.0, dynamic=False, embed=None, epochs=50, erasing=0.4, exist_ok=False, fliplr=0.5, flipud=0.0, format=torchscript, fraction=1.0, freeze=None, half=False, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, imgsz=640, int8=False, iou=0.7, keras=False, kobj=1.0, line_width=None, lr0=0.01, lrf=0.01, mask_ratio=4, max_det=300, mixup=0.0, mode=train, model=yolov8n.pt, momentum=0.937, mosaic=1.0, multi_scale=False, name=duckov_v12, nbs=64, nms=False, opset=None, optimize=False, optimizer=auto, overlap_mask=True, patience=100, perspective=0.0, plots=True, pose=12.0, pretrained=True, profile=False, project=None, rect=False, resume=False, retina_masks=False, save=True, save_conf=False, save_crop=False, save_dir=D:\rubbish\duckov-bot\src\runs\detect\duckov_v12, save_frames=False, save_json=False, save_period=-1, save_txt=False, scale=0.5, seed=0, shear=0.0, show=False, show_boxes=True, show_conf=True, show_labels=True, simplify=True, single_cls=False, source=None, split=val, stream_buffer=False, task=detect, time=None, tracker=botsort.yaml, translate=0.1, val=True, verbose=True, vid_stride=1, visualize=False, warmup_bias_lr=0.1, warmup_epochs=3.0, warmup_momentum=0.8, weight_decay=0.0005, workers=8, workspace=None Traceback (most recent call last): File "d:\rubbish\duckov-bot\venv\Lib\site-packages\ultralytics\engine\trainer.py", line 649, in get_dataset data = check_det_dataset(self.args.data) File "d:\rubbish\duckov-bot\venv\Lib\site-packages\ultralytics\data\utils.py", line 400, in check_det_dataset file = check_file(dataset) File "d:\rubbish\duckov-bot\venv\Lib\site-packages\ultralytics\utils\checks.py", line 621, in check_file raise FileNotFoundError(f"&#39;{file}&#39; does not exist") FileNotFoundError: &#39;dataset/data.yaml&#39; does not exist The above exception was the direct cause of the following exception: Traceback (most recent call last): File "C:\Users\Administrator\AppData\Local\Python\pythoncore-3.14-64\Lib\runpy.py", line 198, in _run_module_as_ma in return _run_code(code, main_globals, None, "__main__", mod_spec) File "C:\Users\Administrator\AppData\Local\Python\pythoncore-3.14-64\Lib\runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "c:\Users\Administrator\.vscode\extensions\ms-python.debugpy-2025.18.0-win32-x64\bundled\libs\debugpy\launche r/../..\debugpy\__main__.py", line 71, in <module> cli.main() ~~~~~~~~^^ File "c:\Users\Administrator\.vscode\extensions\ms-python.debugpy-2025.18.0-win32-x64\bundled\libs\debugpy\launche r/../..\debugpy/..\debugpy\server\cli.py", line 508, in main run() ~~~^^ File "c:\Users\Administrator\.vscode\extensions\ms-python.debugpy-2025.18.0-win32-x64\bundled\libs\debugpy\launche r/../..\debugpy/..\debugpy\server\cli.py", line 358, in run_file runpy.run_path(target, run_name="__main__") ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "c:\Users\Administrator\.vscode\extensions\ms-python.debugpy-2025.18.0-win32-x64\bundled\libs\debugpy\_vendor ed\pydevd\_pydevd_bundle\pydevd_runpy.py", line 310, in run_path return _run_module_code(code, init_globals, run_name, pkg_name=pkg_name, script_name=fname) File "c:\Users\Administrator\.vscode\extensions\ms-python.debugpy-2025.18.0-win32-x64\bundled\libs\debugpy\_vendor ed\pydevd\_pydevd_bundle\pydevd_runpy.py", line 127, in _run_module_code _run_code(code, mod_globals, init_globals, mod_name, mod_spec, pkg_name, script_name) ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "c:\Users\Administrator\.vscode\extensions\ms-python.debugpy-2025.18.0-win32-x64\bundled\libs\debugpy\_vendor ed\pydevd\_pydevd_bundle\pydevd_runpy.py", line 118, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "D:\rubbish\duckov-bot\src\YOLOv8 Train.py", line 9, in <module> results = model.train( data="dataset/data.yaml", ...<4 lines>... device=0 if torch.cuda.is_available() else "cpu" ) File "d:\rubbish\duckov-bot\venv\Lib\site-packages\ultralytics\engine\model.py", line 768, in train self.trainer = (trainer or self._smart_load("trainer"))(overrides=args, _callbacks=self.callbacks) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "d:\rubbish\duckov-bot\venv\Lib\site-packages\ultralytics\models\yolo\detect\train.py", line 63, in __init__ super().__init__(cfg, overrides, _callbacks) ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "d:\rubbish\duckov-bot\venv\Lib\site-packages\ultralytics\engine\trainer.py", line 163, in __init__ self.data = self.get_dataset() ~~~~~~~~~~~~~~~~^^ File "d:\rubbish\duckov-bot\venv\Lib\site-packages\ultralytics\engine\trainer.py", line 653, in get_dataset raise RuntimeError(emojis(f"Dataset &#39;{clean_url(self.args.data)}&#39; error ❌ {e}")) from e RuntimeError: Dataset &#39;dataset/data.yaml&#39; error &#39;dataset/data.yaml&#39; does not exist
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