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<script lang="ts"> |
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import Spinner from '$lib/components/common/Spinner.svelte'; |
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import { copyToClipboard } from '$lib/utils'; |
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import hljs from 'highlight.js'; |
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import 'highlight.js/styles/github-dark.min.css'; |
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import { loadPyodide } from 'pyodide'; |
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import { onMount, tick } from 'svelte'; |
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import PyodideWorker from '$lib/workers/pyodide.worker?worker'; |
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export let id = ''; |
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export let lang = ''; |
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export let code = ''; |
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let highlightedCode = null; |
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let executing = false; |
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let stdout = null; |
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let stderr = null; |
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let result = null; |
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let copied = false; |
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const copyCode = async () => { |
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copied = true; |
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await copyToClipboard(code); |
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setTimeout(() => { |
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copied = false; |
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}, 1000); |
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}; |
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const checkPythonCode = (str) => { |
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const pythonSyntax = [ |
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'def ', |
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'else:', |
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'elif ', |
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'try:', |
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'except:', |
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'finally:', |
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'yield ', |
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'lambda ', |
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'assert ', |
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'nonlocal ', |
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'del ', |
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'True', |
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'False', |
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'None', |
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' and ', |
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' or ', |
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' not ', |
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' in ', |
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' is ', |
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' with ' |
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]; |
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for (let syntax of pythonSyntax) { |
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if (str.includes(syntax)) { |
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return true; |
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} |
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} |
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return false; |
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}; |
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const executePython = async (code) => { |
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if (!code.includes('input') && !code.includes('matplotlib')) { |
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executePythonAsWorker(code); |
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} else { |
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result = null; |
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stdout = null; |
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stderr = null; |
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executing = true; |
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document.pyodideMplTarget = document.getElementById(`plt-canvas-${id}`); |
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let pyodide = await loadPyodide({ |
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indexURL: '/pyodide/', |
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stdout: (text) => { |
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console.log('Python output:', text); |
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if (stdout) { |
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stdout += `${text}\n`; |
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} else { |
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stdout = `${text}\n`; |
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} |
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}, |
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stderr: (text) => { |
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console.log('An error occured:', text); |
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if (stderr) { |
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stderr += `${text}\n`; |
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} else { |
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stderr = `${text}\n`; |
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} |
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}, |
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packages: ['micropip'] |
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}); |
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try { |
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const micropip = pyodide.pyimport('micropip'); |
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let packages = [ |
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code.includes('requests') ? 'requests' : null, |
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code.includes('bs4') ? 'beautifulsoup4' : null, |
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code.includes('numpy') ? 'numpy' : null, |
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code.includes('pandas') ? 'pandas' : null, |
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code.includes('matplotlib') ? 'matplotlib' : null, |
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code.includes('sklearn') ? 'scikit-learn' : null, |
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code.includes('scipy') ? 'scipy' : null, |
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code.includes('re') ? 'regex' : null, |
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code.includes('seaborn') ? 'seaborn' : null |
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].filter(Boolean); |
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console.log(packages); |
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await micropip.install(packages); |
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result = await pyodide.runPythonAsync(`from js import prompt |
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def input(p): |
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return prompt(p) |
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__builtins__.input = input`); |
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result = await pyodide.runPython(code); |
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if (!result) { |
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result = '[NO OUTPUT]'; |
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} |
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console.log(result); |
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console.log(stdout); |
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console.log(stderr); |
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const pltCanvasElement = document.getElementById(`plt-canvas-${id}`); |
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if (pltCanvasElement?.innerHTML !== '') { |
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pltCanvasElement.classList.add('pt-4'); |
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} |
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} catch (error) { |
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console.error('Error:', error); |
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stderr = error; |
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} |
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executing = false; |
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} |
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}; |
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const executePythonAsWorker = async (code) => { |
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result = null; |
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stdout = null; |
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stderr = null; |
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executing = true; |
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let packages = [ |
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code.includes('requests') ? 'requests' : null, |
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code.includes('bs4') ? 'beautifulsoup4' : null, |
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code.includes('numpy') ? 'numpy' : null, |
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code.includes('pandas') ? 'pandas' : null, |
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code.includes('sklearn') ? 'scikit-learn' : null, |
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code.includes('scipy') ? 'scipy' : null, |
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code.includes('re') ? 'regex' : null, |
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code.includes('seaborn') ? 'seaborn' : null |
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].filter(Boolean); |
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console.log(packages); |
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const pyodideWorker = new PyodideWorker(); |
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pyodideWorker.postMessage({ |
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id: id, |
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code: code, |
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packages: packages |
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}); |
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setTimeout(() => { |
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if (executing) { |
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executing = false; |
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stderr = 'Execution Time Limit Exceeded'; |
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pyodideWorker.terminate(); |
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} |
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}, 60000); |
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pyodideWorker.onmessage = (event) => { |
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console.log('pyodideWorker.onmessage', event); |
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const { id, ...data } = event.data; |
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console.log(id, data); |
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data['stdout'] && (stdout = data['stdout']); |
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data['stderr'] && (stderr = data['stderr']); |
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data['result'] && (result = data['result']); |
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executing = false; |
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}; |
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pyodideWorker.onerror = (event) => { |
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console.log('pyodideWorker.onerror', event); |
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executing = false; |
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}; |
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}; |
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let debounceTimeout; |
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$: if (code) { |
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const highlightCode = () => { |
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highlightedCode = hljs.highlightAuto(code, hljs.getLanguage(lang)?.aliases).value || code; |
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}; |
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clearTimeout(debounceTimeout); |
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debounceTimeout = setTimeout(highlightCode, 10); |
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} |
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</script> |
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<div class="mb-4" dir="ltr"> |
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<div |
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class="flex justify-between bg-[#202123] text-white text-xs px-4 pt-1 pb-0.5 rounded-t-lg overflow-x-auto" |
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> |
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<div class="p-1">{@html lang}</div> |
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<div class="flex items-center"> |
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{#if lang.toLowerCase() === 'python' || lang.toLowerCase() === 'py' || (lang === '' && checkPythonCode(code))} |
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{#if executing} |
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<div class="copy-code-button bg-none border-none p-1 cursor-not-allowed">Running</div> |
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{:else} |
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<button |
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class="copy-code-button bg-none border-none p-1" |
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on:click={() => { |
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executePython(code); |
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}}>Run</button |
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> |
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{/if} |
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{/if} |
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<button class="copy-code-button bg-none border-none p-1" on:click={copyCode} |
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>{copied ? 'Copied' : 'Copy Code'}</button |
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> |
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</div> |
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</div> |
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<pre |
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class=" hljs p-4 px-5 overflow-x-auto" |
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style="border-top-left-radius: 0px; border-top-right-radius: 0px; {(executing || |
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stdout || |
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stderr || |
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result) && |
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'border-bottom-left-radius: 0px; border-bottom-right-radius: 0px;'}"><code |
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class="language-{lang} rounded-t-none whitespace-pre">{@html highlightedCode || code}</code |
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></pre> |
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<div |
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id="plt-canvas-{id}" |
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class="bg-[#202123] text-white max-w-full overflow-x-auto scrollbar-hidden" |
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/> |
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{#if executing} |
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<div class="bg-[#202123] text-white px-4 py-4 rounded-b-lg"> |
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<div class=" text-gray-500 text-xs mb-1">STDOUT/STDERR</div> |
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<div class="text-sm">Running...</div> |
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</div> |
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{:else if stdout || stderr || result} |
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<div class="bg-[#202123] text-white px-4 py-4 rounded-b-lg"> |
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<div class=" text-gray-500 text-xs mb-1">STDOUT/STDERR</div> |
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<div class="text-sm">{stdout || stderr || result}</div> |
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</div> |
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{/if} |
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</div> |
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