Uva--146 (暴力,next_permutation)

本文介绍了一个简单的C++程序,该程序利用STL中的next_permutation函数来找出给定字符串的下一个字典序排列。适用于解决特定类型的字符串排列问题。

2014-07-10 01:57:37

题意&思路:不赘述,直接next_permutation。

 1 #include <cstdio>
 2 #include <cstring>
 3 #include <algorithm>
 4 #include <iostream>
 5 using namespace std;
 6 
 7 int main(){
 8     char s[55];
 9     while(scanf("%s",s) == 1){
10         if(s[0] == '#') break;
11         if(next_permutation(s,s + strlen(s))) cout << s;
12         else cout << "No Successor";
13         puts("");
14     }
15     return 0;
16 }
17     

 

转载于:https://www.cnblogs.com/naturepengchen/articles/3834929.html

用pytorch跑项目显示usage: run.py [-h] --task_name TASK_NAME --is_training IS_TRAINING --model_id MODEL_ID --model MODEL --data DATA [--root_path ROOT_PATH] [--data_path DATA_PATH] [--features FEATURES] [--target TARGET] [--freq FREQ] [--checkpoints CHECKPOINTS] [--seq_len SEQ_LEN] [--label_len LABEL_LEN] [--pred_len PRED_LEN] [--seasonal_patterns SEASONAL_PATTERNS] [--inverse] [--mask_rate MASK_RATE] [--anomaly_ratio ANOMALY_RATIO] [--expand EXPAND] [--d_conv D_CONV] [--top_k TOP_K] [--num_kernels NUM_KERNELS] [--enc_in ENC_IN] [--dec_in DEC_IN] [--c_out C_OUT] [--d_model D_MODEL] [--n_heads N_HEADS] [--e_layers E_LAYERS] [--d_layers D_LAYERS] [--d_ff D_FF] [--moving_avg MOVING_AVG] [--factor FACTOR] [--distil] [--dropout DROPOUT] [--embed EMBED] [--activation ACTIVATION] [--channel_independence CHANNEL_INDEPENDENCE] [--decomp_method DECOMP_METHOD] [--use_norm USE_NORM] [--down_sampling_layers DOWN_SAMPLING_LAYERS] [--down_sampling_window DOWN_SAMPLING_WINDOW] [--down_sampling_method DOWN_SAMPLING_METHOD] [--seg_len SEG_LEN] [--num_workers NUM_WORKERS] [--itr ITR] [--train_epochs TRAIN_EPOCHS] [--batch_size BATCH_SIZE] [--patience PATIENCE] [--learning_rate LEARNING_RATE] [--des DES] [--loss LOSS] [--lradj LRADJ] [--use_amp] [--use_gpu USE_GPU] [--gpu GPU] [--use_multi_gpu] [--devices DEVICES] [--p_hidden_dims P_HIDDEN_DIMS [P_HIDDEN_DIMS ...]] [--p_hidden_layers P_HIDDEN_LAYERS] [--use_dtw USE_DTW] [--augmentation_ratio AUGMENTATION_RATIO] [--seed SEED] [--jitter] [--scaling] [--permutation] [--randompermutation] [--magwarp] [--timewarp] [--windowslice] [--windowwarp] [--rotation] [--spawner] [--dtwwarp] [--shapedtwwarp] [--wdba] [--discdtw] [--discsdtw] [--extra_tag EXTRA_TAG] run.py: error: the following arguments are required: --task_name, --is_training, --model_id, --model, --data 该怎么办
05-29
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