did jeep make a jurassic park edition 2026

```py
Generate table data: compare real editions vs. fan myths
table_data = [
["Feature", "1993 Film Vehicle (YJ)", "2018 China Edition", "2022 Global Edition", "Fan-Made 'JP Edition' Kits", "OEM Status"],
["Based on", "Wrangler YJ Sahara", "Wrangler JL Sport", "Wrangler 4xe Sahara", "Any Wrangler (YJ/TJ/JK/JL)", "—"],
["Official Jeep Branding?", "Yes (product placement)", "Yes (limited market)", "Yes (licensed promo)", "No", "Critical distinction"],
["VIN Decoding Confirms?", "Standard YJ VIN", "Unique trim code in China", "Special order code (e.g., 'JW22')", "None", "Check via dealer"],
["Resale Premium (Est.)", "+15–25% for clean examples", "+40–60% over base JL", "+30–50% over 4xe Sahara", "None or negative", "Market-dependent"],
["Legal to Import to US?", "Yes (25-year rule applies post-2018)", "No (not EPA/DOT compliant)", "Yes (if originally sold in US spec)", "N/A", "NHTSA/EPA rules apply"]
]

Format as markdown table string
header = "| " + " | ".join(table_data[0]) + " |"
sep = "|" + "|".join(["---"] * len(table_data[0])) + "|"
rows = "\n".join(["| " + " | ".join(row) + " |" for row in table_data[1:]])

markdown_table = f"{header}\n{sep}\n{rows}"
len(markdown_table)

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