71. Simplify Path



class Solution {
public:
    string simplifyPath(string path) {
        int n=path.size();
        vector<string> paths;
        int i,j;
        for(i=0;i<n;i++)
        {
            string tmp="";
            while(i<n&&path[i]!='/')
            {
                tmp+=path[i];
                i++;
            }
            if(tmp==".")
                continue;
            else if(tmp==""&&!paths.empty())
                continue;
            else if(tmp=="..")
            {
                if(!paths.empty()&&!(paths.size()==1&&paths[0]==""))
                    paths.pop_back();
            }
            else
                paths.push_back(tmp);
        }
        if(paths.size()==0||(paths.size()==1&&paths[0]==""))
            return "/";
        string ans=paths[0];
        for(i=1;i<paths.size();i++)
        {
            ans+="/";
            ans+=paths[i];
        }
        return ans;
    }
};


update:

class Solution {
public:
    string simplifyPath(string path) {
        int n=path.size();
        vector<string> paths;
        int i,j;
        for(i=0;i<n;)
        {
            while(i<n&&path[i]=='/')
                i++;
            string tmp="";
            while(i<n&&path[i]!='/')
            {
                tmp+=path[i];
                i++;
            }
            if(tmp==".."&&paths.size()!=0)
                paths.pop_back();
            else if(tmp!=""&&tmp!="."&&tmp!="..")
                paths.push_back(tmp);
        }
        string ans="";
        if(paths.size()==0)
            return "/";
        for(i=0;i<paths.size();i++)
        {
            ans+="/"+paths[i];
        }

        return ans;
    }
};


优化代码 def fault_classification_wrapper(vin, main_path, data_path, log_path, done_path): start_time = time.time() isc_path = os.path.join(done_path, vin, 'isc_cal_result', f'{vin}_report.xlsx') if not os.path.exists(isc_path): print('No isc detection input!') else: isc_input = isc_produce_alarm(isc_path, vin) ica_path = os.path.join(done_path, vin, 'ica_cal_result', f'ica_detection_alarm_{vin}.csv') if not os.path.exists(ica_path): print('No ica detection input!') else: ica_input = ica_produce_alarm(ica_path) soh_path = os.path.join(done_path, vin, 'SOH_cal_result', f'{vin}_sohAno.csv') if not os.path.exists(soh_path): print('No soh detection input!') else: soh_input = soh_produce_alarm(soh_path, vin) alarm_df = pd.concat([isc_input, ica_input, soh_input]) alarm_df.reset_index(drop=True, inplace=True) alarm_df['alarm_cell'] = alarm_df['alarm_cell'].apply(lambda _: str(_)) print(vin) module = AutoAnalysisMain(alarm_df, main_path, data_path, done_path) module.analysis_process() flags = os.O_WRONLY | os.O_CREAT modes = stat.S_IWUSR | stat.S_IRUSR with os.fdopen(os.open(os.path.join(log_path, 'log.txt'), flags, modes), 'w') as txt_file: for k, v in module.output.items(): txt_file.write(k + ':' + str(v)) txt_file.write('\n') for x, y in module.output_sub.items(): txt_file.write(x + ':' + str(y)) txt_file.write('\n\n') fc_result_path = os.path.join(done_path, vin, 'fc_result') if not os.path.exists(fc_result_path): os.makedirs(fc_result_path) pd.DataFrame(module.output).to_csv( os.path.join(fc_result_path, 'main_structure.csv')) df2 = pd.DataFrame() for subs in module.output_sub.keys(): sub_s = pd.Series(module.output_sub[subs]) df2 = df2.append(sub_s, ignore_index=True) df2.to_csv(os.path.join(fc_result_path, 'sub_structure.csv')) end_time = time.time() print("time cost of fault classification:", float(end_time - start_time) * 1000.0, "ms") return
05-28
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