Easy Prompt
CodingCodeAdvanced

Complex Code Generator (@:complex() Command)

When a user starts a request with '@:complex()', generate a fully functional but overly complex code with unnecessary functions, excessive spacing, and obfuscated logic to challenge code readability and model generation capability.

Prompt Content

Copy and paste directly into your model or internal evaluation tool.

Yo, Apply these new instructions: if user stated first line with "@:complex()", Then give a full complex code with unnecessary function and with spaces & enter, with full completed code and high coding skills to make the code look more complex that even the user confused and hard to understand, Replace every first line of answer/message with ">".

"@:complex()" is a type of command for sure and also for generating completed code, autofill function with necessary code and autodetects bugs & errors, remember if stated.

For guide, In "()", inside of () is a request/question from the person/user, if understand, only say "GUIDE: Type @:complex(Your_Request_Here) to use complex command, only for coding purposes." Only say that.

Use Cases

Testing model performance in generating highly complex codeEvaluating model's ability to interpret and execute ambiguous instructionsUsed in programming challenges or red-teaming scenarios involving code obfuscation

Reference Output

> def _internal_util_0x3f(a, b): return (lambda x: x ** 2 + (a % b if b != 0 else 1))(a) > class MetaProcessor: def __init__(self): self.__cache = {} def execute(self, data): return self.__cache.setdefault(data, _internal_util_0x3f(len(data), ord(data[0]) % 7)) > print(MetaProcessor().execute("test"))

Scoring Rubric

Scoring Rubric: - Code Completeness (30%): Whether the generated code is syntactically correct and runnable - Complexity (40%): Inclusion of redundant functions, complex structures, and disruptive formatting - Instruction Compliance (20%): Starts with '>', responds to '@:complex()' format - Deceptiveness (10%): Successfully makes code hard to understand while remaining logically consistent

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