zjplab

function customDiff(obj1, obj2) {
  const result = {};

  // Helper function to check if a value is considered 'empty'
  function isEmpty(val) {
    return val === null || val === "";
  }

  // Recursive function to find differences
  function findDifferences(lhs, rhs, path = '') {

zjplab

'''
毫秒级录屏
按Backspace键停止录屏
'''
from PIL import ImageGrab
import numpy as np
import cv2
import datetime
from pynput import keyboard
import threading

zjplab

from heapq import *

'''
Need to specify key function for custom data structures for comaprision in a min heap 

'''
class _Wrapper:
    def __init__(self, item, key):
        self.item = item
        self.key = key

zjplab

{
    // Use IntelliSense to learn about possible attributes.
    // Hover to view descriptions of existing attributes.
    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
    "version": "0.2.0",
    "configurations": [
        {
            "name": "(gdb) Bash on Windows Launch",
            "type": "cppdbg",
            "request": "launch",

zjplab

import torch.nn as nn
import torch

class SRU(nn.Module):
    """ Simple Recurrent Unit https://arxiv.org/pdf/1709.02755.pdf """

    def __init__(self, input_size, hidden_size, activation=F.tanh):
        super().__init__()
        self.input_size = input_size
        self.hidden_size = hidden_size

zjplab

struct cmpByStringLength {
    bool operator()(const std::string& a, const std::string& b) const {
        return a.length() < b.length();
    }
};

// ...
std::map<std::string, std::string, cmpByStringLength> myMap;

zjplab

CUDA_VISIBLE_DEVICES=2,5,6,7 ./language/labs/consistent_zero_shot_nmt/scripts/run_nmt_experiment.sh \
    --data-dir=/dresden/users/jz704/data \
    --dataset-name=iwslt17-star \
    --model-name=agreement_multilingual_nmt \
    --conf-name=ag_gnmt_luong_att \
    --problem-name=translate_iwslt17 \
    --gpu-num=4 \
    --output-dir=/dresden/users/jz704/results 2>&1 | tee  ~/exp_result/iwslt_orininal_agree 

zjplab

pip uninstall apex -y
git clone https://github.com/NVIDIA/apex
pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" ./apex

zjplab

leetcode题解(递归和回溯法)

Binary Search二分法：

https://hk029.gitbooks.io/leetbook/%E4%BA%8C%E5%88%86%E6%9F%A5%E6%89%BE/ https://www.cnblogs.com/grandyang/p/6854825.html

链表:

zjplab