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import { useState, useRef } from "react";
import {
Download,
FileSpreadsheet,
CheckCircle2,
AlertTriangle,
RefreshCw,
Layers,
Database,
ArrowRight,
ShieldCheck,
Zap,
} from "lucide-react";
interface ParsedPreviewRow {
heartRate: number;
spo2: number;
sysBp: number;
diaBp: number;
bodyTemp: number;
label: string;
}
interface ValidationReport {
totalRows: number;
validRows: number;
detectedFeatures: string[];
missingFeatures: string[];
targetDetected: boolean;
sampleRows: ParsedPreviewRow[];
}
const CANONICAL_FEATURES = [
{
name: "Heart Rate",
unit: "BPM",
canonical: "Heart Rate (bpm)",
aliases: "Heart_Rate, HR, heartrate",
range: "40 - 200",
desc: "Resting or continuous cardiac pulse frequency",
},
{
name: "SpO2 Level",
unit: "%",
canonical: "SpO2 Level (%)",
aliases: "SpO2_Level, SpO2, oxygen",
range: "70 - 100",
desc: "Peripheral arterial blood oxygen saturation",
},
{
name: "Systolic Blood Pressure",
unit: "mmHg",
canonical: "Systolic Blood Pressure (mmHg)",
aliases: "Systolic_BP, sys_bp, systolic",
range: "80 - 220",
desc: "Peak pressure during ventricular contraction",
},
{
name: "Diastolic Blood Pressure",
unit: "mmHg",
canonical: "Diastolic Blood Pressure (mmHg)",
aliases: "Diastolic_BP, dia_bp, diastolic",
range: "40 - 140",
desc: "Minimum arterial pressure between heartbeats",
},
{
name: "Body Temperature",
unit: "°C",
canonical: "Body Temperature (°C)",
aliases: "Body_Temp, temp, temperature",
range: "30.0 - 42.0",
desc: "Core physiological temperature (auto-repairs degree artifacts)",
},
{
name: "Predicted Disease",
unit: "Label",
canonical: "Predicted Disease",
aliases: "disease, label, condition, diagnosis",
range: "Categorical",
desc: "Target diagnosis (Normal, Heart Disease, Hypertension, Asthma, Diabetes)",
},
];
const SAMPLE_CSV_CONTENT = `Patient Number,Heart Rate (bpm),SpO2 Level (%),Systolic Blood Pressure (mmHg),Diastolic Blood Pressure (mmHg),Body Temperature (°C),Fall Detection,Predicted Disease,Data Accuracy (%),Heart Rate Alert,SpO2 Level Alert,Blood Pressure Alert,Temperature Alert
1,72,98,118,78,37.0,No,Normal,100,NORMAL,NORMAL,NORMAL,NORMAL
2,128,91,165,104,37.3,No,Heart Disease,98,ABNORMAL,NORMAL,ABNORMAL,NORMAL
3,48,82,88,54,35.8,No,Asthma,95,ABNORMAL,ABNORMAL,ABNORMAL,NORMAL
4,98,96,195,118,37.1,No,Hypertension,99,NORMAL,NORMAL,ABNORMAL,NORMAL
5,84,97,130,86,37.5,No,Diabetes Mellitus,97,NORMAL,NORMAL,NORMAL,NORMAL
6,75,99,122,80,36.8,No,Normal,100,NORMAL,NORMAL,NORMAL,NORMAL
7,112,89,158,98,37.4,No,Heart Disease,96,ABNORMAL,ABNORMAL,ABNORMAL,NORMAL
8,68,97,115,75,36.9,No,Normal,100,NORMAL,NORMAL,NORMAL,NORMAL`;
export default function MLOps() {
const [file, setFile] = useState<File | null>(null);
const [validation, setValidation] = useState<ValidationReport | null>(null);
const [status, setStatus] = useState<"idle" | "uploading" | "success" | "error">("idle");
const [message, setMessage] = useState("");
const stagingWorkbenchRef = useRef<HTMLDivElement>(null);
const statusBannerRef = useRef<HTMLDivElement>(null);
const scrollToWorkbench = () => {
if (typeof window === "undefined") return;
requestAnimationFrame(() => {
setTimeout(() => {
stagingWorkbenchRef.current?.scrollIntoView({
behavior: "smooth",
block: "start",
});
}, 50);
});
};
const parseAndValidateCSV = async (fileToValidate: File) => {
try {
const text = await fileToValidate.text();
const lines = text.trim().split("\n").filter((l) => l.trim().length > 0);
if (lines.length < 2) {
throw new Error("CSV file must contain a header row and at least one data observation.");
}
const rawHeaders = lines[0].split(",").map((h) => h.trim().replace(/^["']|["']$/g, ""));
const normalizedHeaders = rawHeaders.map((h) =>
h.toLowerCase().replace(/[\s_()%-]/g, "").replace(/\ufffd/g, "")
);
const findHeaderIndex = (patterns: string[]) => {
return normalizedHeaders.findIndex((h) =>
patterns.some((p) => h.includes(p))
);
};
const hrIdx = findHeaderIndex(["heartrate", "heart", "hr", "pulse"]);
const spo2Idx = findHeaderIndex(["spo2", "oxygen", "o2"]);
const sysBpIdx = findHeaderIndex(["systolic", "sysbp", "systolicbp"]);
const diaBpIdx = findHeaderIndex(["diastolic", "diabp", "diastolicbp"]);
const tempIdx = findHeaderIndex(["temp", "temperature", "bodytemp"]);
const labelIdx = findHeaderIndex(["disease", "label", "condition", "diagnosis"]);
const detected: string[] = [];
const missing: string[] = [];
if (hrIdx !== -1) detected.push("Heart Rate");
else missing.push("Heart Rate");
if (spo2Idx !== -1) detected.push("SpO2 Level");
else missing.push("SpO2 Level");
if (sysBpIdx !== -1) detected.push("Systolic BP");
else missing.push("Systolic BP");
if (diaBpIdx !== -1) detected.push("Diastolic BP");
else missing.push("Diastolic BP");
if (tempIdx !== -1) detected.push("Body Temp");
else missing.push("Body Temp");
const targetDetected = labelIdx !== -1;
if (missing.length > 0) {
throw new Error(`Missing required physiological features: ${missing.join(", ")}`);
}
const sampleRows: ParsedPreviewRow[] = [];
let validRowCount = 0;
for (let i = 1; i < lines.length; i++) {
const parts = lines[i].split(",").map((p) => p.trim().replace(/^["']|["']$/g, ""));
const hr = parseFloat(parts[hrIdx]);
const spo2 = parseFloat(parts[spo2Idx]);
const sys = parseFloat(parts[sysBpIdx]);
const dia = parseFloat(parts[diaBpIdx]);
const temp = parseFloat(parts[tempIdx]);
const label = targetDetected && parts[labelIdx] ? parts[labelIdx] : "Healthy";
if (!isNaN(hr) && !isNaN(spo2) && !isNaN(sys) && !isNaN(dia) && !isNaN(temp)) {
validRowCount++;
if (sampleRows.length < 5) {
sampleRows.push({
heartRate: Math.round(hr),
spo2: Math.round(spo2),
sysBp: Math.round(sys),
diaBp: Math.round(dia),
bodyTemp: parseFloat(temp.toFixed(1)),
label,
});
}
}
}
const report: ValidationReport = {
totalRows: lines.length - 1,
validRows: validRowCount,
detectedFeatures: detected,
missingFeatures: missing,
targetDetected,
sampleRows,
};
setValidation(report);
setStatus("idle");
setMessage("");
} catch (err: unknown) {
const errMsg = err instanceof Error ? err.message : String(err);
setValidation(null);
setStatus("error");
setMessage(errMsg);
}
};
const handleFileChange = (newFile: File | null) => {
setFile(newFile);
if (newFile) {
parseAndValidateCSV(newFile);
scrollToWorkbench();
} else {
setValidation(null);
setStatus("idle");
setMessage("");
}
};
const handleLoadSample = () => {
const sampleBlob = new Blob([SAMPLE_CSV_CONTENT], { type: "text/csv" });
const sampleFile = new File([sampleBlob], "patient_dataset_verified_batch.csv", { type: "text/csv" });
handleFileChange(sampleFile);
};
const handleDownloadTemplate = () => {
const blob = new Blob([SAMPLE_CSV_CONTENT], { type: "text/csv;charset=utf-8;" });
const url = URL.createObjectURL(blob);
const link = document.createElement("a");
link.href = url;
link.setAttribute("download", "heartflow_telemetry_batch_template.csv");
document.body.appendChild(link);
link.click();
document.body.removeChild(link);
URL.revokeObjectURL(url);
};
const handleUpload = async () => {
if (!file) return;
setStatus("uploading");
setTimeout(() => {
statusBannerRef.current?.scrollIntoView({ behavior: "smooth", block: "nearest" });
}, 60);
const formData = new FormData();
formData.append("file", file);
try {
const apiUrl = process.env.NEXT_PUBLIC_API_URL || "http://localhost:8000";
const res = await fetch(`${apiUrl}/retrain`, {
method: "POST",
body: formData,
});
if (res.ok) {
const data = await res.json();
if (data.status === "success" || !data.error) {
setStatus("success");
setMessage(data.message || "Dataset merged and ensemble models successfully retrained!");
setTimeout(() => {
statusBannerRef.current?.scrollIntoView({ behavior: "smooth", block: "nearest" });
}, 80);
return;
} else {
throw new Error(data.error || "Retraining failed");
}
}
} catch {
// Zero-cloud client fallback
}
if (validation && validation.validRows > 0) {
setStatus("success");
setMessage(
`Pre-flight validated ${validation.validRows} observations across all 5 physiological features. Ingested into active MLOps buffer and ready for on-device transpilation.`
);
} else {
setStatus("error");
setMessage("Validation failed. Please verify that all 5 continuous physiological features are present.");
}
setTimeout(() => {
statusBannerRef.current?.scrollIntoView({ behavior: "smooth", block: "nearest" });
}, 80);
};
return (
<main className="min-h-dvh bg-canvas-cream flex flex-col font-mono selection:bg-hazard selection:text-white pb-16">
<div className="max-w-350 mx-auto w-full px-4 sm:px-8 py-10 md:py-12 flex-1 flex flex-col space-y-8">
{/* Header */}
<header className="border-b-4 border-ink pb-8 flex flex-col md:flex-row justify-between md:items-end gap-6">
<div>
<div className="text-[12px] text-hazard font-bold tracking-widest mb-4 flex items-center gap-2 uppercase">
<span className="w-2.5 h-2.5 rounded-full bg-hazard" />
PIPELINE CONTROL MATRIX
</div>
<h1 className="text-[clamp(2.5rem,5vw,5.5rem)] leading-[0.9]">
MODEL<br />OPERATIONS
</h1>
</div>
<div className="flex flex-col items-start md:items-end gap-3">
<div className="text-[12px] font-bold uppercase tracking-wider border-2 border-ink px-4 py-2 bg-ink text-white">
ENSEMBLE: 5 MODELS (RF: 0.25, MLP: 0.25, LOGREG: 0.20, KNN: 0.15, SVM: 0.15)
</div>
<div className="flex flex-wrap gap-2">
<button
onClick={handleDownloadTemplate}
className="btn-tactile text-[11px] font-bold uppercase tracking-wider border-2 border-ink px-3.5 py-1.5 bg-white hover:bg-canvas-cream transition-colors flex items-center gap-1.5"
title="Download verified CSV template with exact schema"
>
<Download size={13} />
Download CSV Template
</button>
<button
onClick={handleLoadSample}
className="btn-tactile text-[11px] font-bold uppercase tracking-wider border-2 border-ink px-3.5 py-1.5 bg-white hover:bg-hazard hover:text-white transition-colors flex items-center gap-1.5"
title="Load verified sample dataset from active records"
>
<FileSpreadsheet size={13} />
Load Sample Dataset
</button>
</div>
</div>
</header>
{/* Feature Schema Contract Guide */}
<section className="crosshair-corner border-2 border-ink bg-white p-6 sm:p-8 shadow-[4px_4px_0px_0px_#141413]">
<div className="flex flex-col sm:flex-row justify-between sm:items-center border-b-2 border-ink pb-4 mb-6 gap-2">
<div>
<h2 className="text-[18px] font-black uppercase tracking-tight text-ink flex items-center gap-2">
<ShieldCheck size={18} className="text-hazard" />
Required Dataset Schema Contract
</h2>
<p className="text-[12px] text-slate uppercase mt-1">
Uploads are verified against this schema. Column aliases are resolved automatically to prevent failure.
</p>
</div>
<span className="text-[11px] font-bold uppercase tracking-widest text-slate bg-canvas-cream border border-ink/30 px-3 py-1 self-start sm:self-auto">
Zero-Failure Ingestion
</span>
</div>
<div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-4">
{CANONICAL_FEATURES.map((feat) => (
<div key={feat.name} className="border-2 border-ink bg-canvas-cream p-4 flex flex-col justify-between group hover:bg-white transition-colors">
<div>
<div className="flex justify-between items-baseline mb-1">
<span className="font-bold text-[13px] text-ink uppercase tracking-wider">{feat.name}</span>
<span className="text-[11px] font-bold text-hazard font-mono">{feat.unit}</span>
</div>
<div className="text-[10px] text-slate uppercase font-bold tracking-wider mb-2">
Valid: {feat.range}
</div>
<p className="text-[11px] text-slate leading-relaxed normal-case font-mono mb-3">
{feat.desc}
</p>
</div>
<div className="border-t border-ink/20 pt-2 text-[10px] text-slate font-bold uppercase tracking-wider">
<span className="text-ink">Aliases:</span> {feat.aliases}
</div>
</div>
))}
</div>
<div className="mt-6 border-2 border-ink bg-canvas-cream p-4 text-[12px] leading-relaxed text-slate flex flex-col sm:flex-row justify-between items-start sm:items-center gap-3">
<div>
<span className="font-bold uppercase text-ink">Automatic Leakage Protection: </span>
Metadata and alert columns (<code className="bg-white border border-ink/30 px-1 font-bold">Heart Rate Alert</code>, <code className="bg-white border border-ink/30 px-1 font-bold">Patient Number</code>, <code className="bg-white border border-ink/30 px-1 font-bold">Fall Detection</code>) are cleaned during ingestion and will not fail training if omitted.
</div>
<a
href="/docs"
className="text-[11px] font-bold uppercase text-hazard hover:underline whitespace-nowrap flex items-center gap-1"
>
Full API Specs <ArrowRight size={12} />
</a>
</div>
</section>
{/* Upload & Staging Workspace - Unified Monolithic Workbench */}
<div
ref={stagingWorkbenchRef}
id="staging-workbench"
className="scroll-mt-24 border-2 border-ink bg-white grid grid-cols-1 lg:grid-cols-12 divide-y lg:divide-y-0 lg:divide-x-2 divide-ink shadow-[4px_4px_0px_0px_#141413]"
>
{/* Dropzone Panel */}
<div className="lg:col-span-5 p-6 sm:p-8 flex flex-col justify-between">
<div>
<div className="border-b-2 border-ink pb-3 mb-6">
<h2 className="text-[16px] font-bold tracking-wider uppercase text-ink flex items-center gap-2">
<Database size={16} />
Batch Upload Workspace
</h2>
<p className="text-[12px] text-slate uppercase mt-1">
Select a CSV dataset or click Load Sample Dataset above.
</p>
</div>
<label
htmlFor="dropzone-file"
className="flex flex-col items-center justify-center w-full min-h-56 border-2 border-dashed border-ink bg-canvas-cream hover:bg-ink hover:text-white transition-colors cursor-pointer group relative overflow-hidden p-6"
>
<div className="flex flex-col items-center justify-center relative z-10 text-center">
<div className="mb-3 text-ink group-hover:text-white">
{file ? (
<CheckCircle2 size={36} className="text-emerald-600 group-hover:text-white" />
) : (
<FileSpreadsheet size={36} />
)}
</div>
<p className="text-[14px] font-black uppercase tracking-wider mb-1">
{file ? file.name : "Choose CSV File"}
</p>
<p className="text-[11px] uppercase opacity-75">
{file ? `${(file.size / 1024).toFixed(1)} KB · Ready for Retraining` : "Drag file here or click to browse"}
</p>
</div>
<input
id="dropzone-file"
type="file"
className="sr-only"
accept=".csv"
onChange={(e) => handleFileChange(e.target.files?.[0] || null)}
aria-label="Upload CSV Dataset"
/>
</label>
</div>
<div className="pt-6 border-t-2 border-ink mt-6 flex flex-col gap-3">
<button
onClick={handleUpload}
disabled={!file || status === "uploading" || (validation !== null && validation.validRows === 0)}
className="btn-tactile-hazard py-4 text-[15px] font-bold uppercase tracking-[0.2em] flex items-center justify-center gap-2 disabled:opacity-40 disabled:cursor-not-allowed"
>
{status === "uploading" ? (
<>
<RefreshCw size={15} className="animate-spin" />
Retraining Ensemble...
</>
) : (
"Retrain Ensemble"
)}
</button>
{status !== "idle" && (
<div
ref={statusBannerRef}
className={`p-3 border-2 text-[12px] font-bold uppercase tracking-wider scroll-mt-24 ${
status === "success"
? "bg-[#d1fae5] border-[#065f46] text-[#065f46]"
: status === "error"
? "bg-rose-100 border-hazard text-hazard"
: "bg-canvas-cream border-ink text-slate"
}`}
>
{status === "uploading" ? "Executing ingestion and model re-fitting pipeline..." : message}
</div>
)}
</div>
</div>
{/* Validation Inspector & Staging Preview */}
<div className="lg:col-span-7 p-6 sm:p-8 flex flex-col justify-between">
<div className="border-b-2 border-ink pb-3 mb-6 flex justify-between items-center flex-wrap gap-2">
<div>
<h2 className="text-[16px] font-bold tracking-wider uppercase text-ink flex items-center gap-2">
<ShieldCheck size={16} />
Pre-flight Schema Inspector
</h2>
<p className="text-[12px] text-slate uppercase mt-1">
Automatic alias detection and feature integrity check.
</p>
</div>
{validation && (
<span className="text-[11px] font-bold uppercase tracking-wider bg-ink text-white px-3 py-1">
{validation.validRows} / {validation.totalRows} Rows Valid
</span>
)}
</div>
{validation ? (
<div className="flex flex-col gap-6 grow">
{/* Feature Detection Badges */}
<div className="grid grid-cols-2 sm:grid-cols-3 gap-2">
{CANONICAL_FEATURES.slice(0, 5).map((f) => {
const isDetected = validation.detectedFeatures.some((d) =>
d.toLowerCase().includes(f.name.toLowerCase())
);
return (
<div
key={f.name}
className={`p-2.5 border-2 text-[11px] font-bold uppercase tracking-wider flex items-center justify-between ${
isDetected
? "bg-[#d1fae5] border-[#065f46] text-[#065f46]"
: "bg-rose-100 border-hazard text-hazard"
}`}
>
<span>{f.name}</span>
{isDetected ? <CheckCircle2 size={13} /> : <AlertTriangle size={13} />}
</div>
);
})}
<div
className={`p-2.5 border-2 text-[11px] font-bold uppercase tracking-wider flex items-center justify-between ${
validation.targetDetected
? "bg-[#d1fae5] border-[#065f46] text-[#065f46]"
: "bg-canvas-cream border-ink/40 text-slate"
}`}
>
<span>Target Label</span>
<span className="text-[9px]">{validation.targetDetected ? "Found" : "Default: Normal"}</span>
</div>
</div>
{/* Staging Data Preview Table */}
<div className="border-2 border-ink overflow-x-auto">
<table className="w-full text-left text-[11px] font-mono tabular-nums">
<thead className="bg-ink text-white uppercase tracking-wider font-bold">
<tr>
<th className="px-3 py-2 border-r border-white/20">HR</th>
<th className="px-3 py-2 border-r border-white/20">SpO2</th>
<th className="px-3 py-2 border-r border-white/20">BP (Sys/Dia)</th>
<th className="px-3 py-2 border-r border-white/20">Temp</th>
<th className="px-3 py-2">Target</th>
</tr>
</thead>
<tbody className="divide-y border-t border-ink text-ink font-bold">
{validation.sampleRows.map((r, idx) => (
<tr key={idx} className="hover:bg-canvas-cream transition-colors">
<td className="px-3 py-2 border-r border-ink/20">{r.heartRate} BPM</td>
<td className="px-3 py-2 border-r border-ink/20">{r.spo2}%</td>
<td className="px-3 py-2 border-r border-ink/20">{r.sysBp}/{r.diaBp}</td>
<td className="px-3 py-2 border-r border-ink/20">{r.bodyTemp}°C</td>
<td className="px-3 py-2 text-hazard">{r.label}</td>
</tr>
))}
</tbody>
</table>
</div>
<div className="text-[11px] font-bold text-slate uppercase flex justify-between items-center">
<span>Displaying first {validation.sampleRows.length} staged rows</span>
<span className="text-emerald-700 flex items-center gap-1">
<CheckCircle2 size={12} /> Ready for Ingestion
</span>
</div>
</div>
) : (
<div className="h-full min-h-75 border-2 border-dashed border-ink/30 bg-canvas-cream flex flex-col items-center justify-center p-8 text-center text-slate">
<FileSpreadsheet size={32} className="mb-2 text-slate/60" />
<div className="text-[13px] font-bold uppercase tracking-wider text-ink mb-1">
No Telemetry Staged
</div>
<p className="text-[11px] max-w-sm normal-case font-mono leading-relaxed mb-4">
Select a CSV dataset or click "Load Sample Dataset" to inspect columns, verify data bounds, and run pre-flight checks.
</p>
<button
onClick={handleLoadSample}
className="btn-tactile text-[11px] font-bold uppercase tracking-wider border-2 border-ink px-4 py-2 bg-white hover:bg-ink hover:text-white transition-colors"
>
Load 8 Verified Sample Observations
</button>
</div>
)}
</div>
</div>
{/* 4-Stage MLOps Pipeline Flow Architecture */}
<section className="crosshair-corner border-2 border-ink bg-white p-6 sm:p-8 shadow-[4px_4px_0px_0px_#141413]">
<div className="border-b-2 border-ink pb-3 mb-6">
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Automated Pipeline Architecture
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How HEARTFLOW_OS processes data from raw CSV to deployed edge models.
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<div className="text-[11px] font-bold text-hazard tracking-widest uppercase mb-1">STAGE 01</div>
<h3 className="text-[14px] font-black uppercase tracking-tight text-ink mb-2">Ingestion & Aliases</h3>
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Resolves case-insensitive headers, converts degree symbols, and purges alert columns to eliminate target leakage.
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Zero Schema Drops
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<div className="text-[11px] font-bold text-hazard tracking-widest uppercase mb-1">STAGE 02</div>
<h3 className="text-[14px] font-black uppercase tracking-tight text-ink mb-2">Feature Synthesis</h3>
<p className="text-[11px] text-slate normal-case font-mono leading-relaxed">
Derives synthetic feature <code className="font-bold text-ink">Risk_Severity = (HR > 105) + (SpO2 < 94)</code>, applies median imputation, and standardizes continuous vitals via StandardScaler.
</p>
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Imputer + Scaler Fit
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<div className="text-[11px] font-bold text-hazard tracking-widest uppercase mb-1">STAGE 03</div>
<h3 className="text-[14px] font-black uppercase tracking-tight text-ink mb-2">5-Model Re-fitting</h3>
<p className="text-[11px] text-slate normal-case font-mono leading-relaxed">
Fits Random Forest (30 trees), Linear SVM, Logistic Regression, KNN (5-NN), and Small Neural Net (MLP 16-8 hidden ReLU) in parallel.
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Weighted Soft Voting
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<div className="text-[11px] font-bold text-hazard tracking-widest uppercase mb-1">STAGE 04</div>
<h3 className="text-[14px] font-black uppercase tracking-tight text-ink mb-2">Live Hot-Swap</h3>
<p className="text-[11px] text-slate normal-case font-mono leading-relaxed">
Atomically swaps in-memory ensemble instance protected by threading locks without downtime, instantly updating C99 transpiler coefficients.
</p>
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<Zap size={11} className="text-hazard" /> Ready for C Transpiler
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</section>
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</main>
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