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	# Pyodide + NumPy 互動蒙特卡羅：一鍵估算 π 值與圖形化教學
	import js, io, base64
	import numpy as np
	import matplotlib.pyplot as plt

	# ---------- UI：頂端標籤 + 控制面板 ----------
	tag = js.document.createElement("div")
	tag.textContent = "Pyodide × NumPy Monte Carlo π"
	tag.style.cssText = ("position:absolute;top:0;left:50%;transform:translateX(-50%);z-index:10000;"
	"background:rgba(0,0,0,.7);color:#fff;padding:6px 10px;border-radius:0 0 8px 8px;")

	import matplotlib.pyplot as plt
	import numpy as np
	import io, base64, js

	# 1) 產生圖表並轉成 data URL
	x = np.linspace(0, 2*np.pi, 100)
	y = np.sin(x)
	plt.figure(figsize=(6, 4), dpi=120)
	plt.plot(x, y, '--', linewidth=2)
	plt.title('Sine in the Browser')

	<template>
	<div class="mb-4">
	<el-input v-model="token" placeholder="API Token" type="password" />

	<p class="text-sm">
	If you don't have an API Token, you can get it from
	<a
	href="https://web3.storage/tokens/"
	class="text-blue-400"
	target="_blank"

	import { axios } from "@pipedream/platform";
	import moment from 'moment';

	export default defineComponent({
	props: {
	address: {
	type: "string",
	label: "Address",
	default: "",
	},

	{
	"files": [
	{
	"dataset-name-en": "Current weather report",
	"provider-id": "hk-hko",
	"format": "rss",
	"data_dictionary": "",
	"dataset-id": "hk-hko-rss-current-weather-report",
	"resource-name-tc": "本港地區天氣報告（簡體中文）",
	"dataset-name-sc": "本港地区天气报告",