Jain Wun Su johnny12150

## pyg-hetero.ipynb

      
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                johnny12150
                / pyg-hetero.ipynb
            
            
              Created
              April 26, 2022 14:19
            
              
                PyG Hetero.ipynb
              
          
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## App.tsx
import React, {useRef, useState} from 'react'
import FullCalendar from '@fullcalendar/react' // must go before plugins
import dayGridPlugin from '@fullcalendar/daygrid' // a plugin!
import CSS from 'csstype'
import {Overlay, OverlayTrigger, Popover, Tooltip} from "react-bootstrap";
import {EventSourceInput} from "@fullcalendar/common";
import 'bootstrap/dist/css/bootstrap.min.css';
import ReactDOM from "react-dom";

// height只能在calendar內控制

## index.html
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta http-equiv="X-UA-Compatible" content="IE=edge">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Document</title>
    <style>
        img {
            width: 150px;

## index.js
const express = require('express')
const app = express()
const port = 3000

app.get('/', (req, res) => {
  res.send('Hello World!')
})

// POST method route
app.post('/', function (req, res) {

## load_json_api.html
<!doctype html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport"
          content="width=device-width, user-scalable=no, initial-scale=1.0, maximum-scale=1.0, minimum-scale=1.0">
    <meta http-equiv="X-UA-Compatible" content="ie=edge">
    <title>Load CDC API</title>
</head>
<body>

## react_cdn.html
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta http-equiv="X-UA-Compatible" content="IE=edge">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Document</title>
    <script crossorigin src="https://unpkg.com/react@17/umd/react.development.js"></script>
    <script crossorigin src="https://unpkg.com/react-dom@17/umd/react-dom.development.js"></script>
    <!-- in order to use JSX -->

## max_seat.html
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta http-equiv="X-UA-Compatible" content="IE=edge">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Choose your seats</title>
    <script
    src="https://code.jquery.com/jquery-3.6.0.min.js"
    integrity="sha256-/xUj+3OJU5yExlq6GSYGSHk7tPXikynS7ogEvDej/m4="

## spop.py
import numpy as np
import pandas as pd

class SessionPop:
    '''
    SessionPop(top_n=100, item_key='ItemId', support_by_key=None)

    Session popularity predictor that gives higher scores to items with higher number of occurrences in the session. Ties are broken up by adding the popularity score of the item.

    The score is given by:

## install_nv_docker.md

      
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              6 stars
            
          
                johnny12150
                / install_nv_docker.md
            
            
              Created
              May 7, 2021 08:50
            
          
    Install docker

 curl -fsSL https://get.docker.com -o get-docker.sh
 sudo sh get-docker.sh

Install NV-docker

distribution=$(. /etc/os-release;echo $ID$VERSION_ID) && \
curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - &amp;&amp; \


## preprocess_hist.py
import os
import pickle
import pandas as pd
from sklearn.preprocessing import LabelEncoder
from tqdm import tqdm
import copy

def process_seqs(iseqs, idates, ihist=None, data_aug=False, gen_target=True):
    '''
    產生data
	import React, {useRef, useState} from 'react'
	import FullCalendar from '@fullcalendar/react' // must go before plugins
	import dayGridPlugin from '@fullcalendar/daygrid' // a plugin!
	import CSS from 'csstype'
	import {Overlay, OverlayTrigger, Popover, Tooltip} from "react-bootstrap";
	import {EventSourceInput} from "@fullcalendar/common";
	import 'bootstrap/dist/css/bootstrap.min.css';
	import ReactDOM from "react-dom";

	// height只能在calendar內控制
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta http-equiv="X-UA-Compatible" content="IE=edge">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>Document</title>
	<style>
	img {
	width: 150px;
	const express = require('express')
	const app = express()
	const port = 3000

	app.get('/', (req, res) => {
	res.send('Hello World!')
	})

	// POST method route
	app.post('/', function (req, res) {
	import numpy as np
	import pandas as pd

	class SessionPop:
	'''
	SessionPop(top_n=100, item_key='ItemId', support_by_key=None)

	Session popularity predictor that gives higher scores to items with higher number of occurrences in the session. Ties are broken up by adding the popularity score of the item.

	The score is given by:
	import os
	import pickle
	import pandas as pd
	from sklearn.preprocessing import LabelEncoder
	from tqdm import tqdm
	import copy

	def process_seqs(iseqs, idates, ihist=None, data_aug=False, gen_target=True):
	'''
	產生data