RabbitLee

#!/usr/bin/env python
# coding: utf-8

# In[1]:


import cv2
import numpy as np

RabbitLee

class Solution {
public:
    vector<bool> ap;
    int maxReq = 0;
    int maximumRequests(int n, vector<vector<int>>& requests) {
        int res = 0;
        for (auto it = requests.begin(); it != requests.end();) {
            if ((*it)[0] == (*it)[1]) {
                it = requests.erase(it);
                res++;

RabbitLee

# coroutine
import asyncio
import aiohttp
import aiofile
# set up coroutine
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
# get tasks
tasks = []
for index, img_url in enumerate(img_url_list):

RabbitLee

# Install a conda package in the current Jupyter kernel
import sys
!conda install --yes --prefix {sys.prefix} numpy

# url: https://jakevdp.github.io/blog/2017/12/05/installing-python-packages-from-jupyter/#How-to-use-Conda-from-the-Jupyter-Notebook