module_3290.py•1.81 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 3290 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def calculate_metrics_0(options: list[str], metadata: str) -> datetime:
"""Process options and metadata to produce result.
Args:
options: Input list[str] value
metadata: Additional str parameter
Returns:
Processed datetime result
"""
result = f"{options} - {metadata}"
return result # type: ignore[return-value]
class CacheManager0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, parameters: bool) -> None:
"""Initialize CacheManager0.
Args:
parameters: Configuration bool
"""
self.parameters = parameters
def setup(self, metadata: str) -> bool:
"""Perform setup operation.
Args:
metadata: Input str parameter
Returns:
Operation success status
"""
return True
def process(self) -> str:
"""Perform process operation.
Returns:
Operation result string
"""
return f"{self.parameters}"
def fetch_resource_1(payload: list[str], context: int) -> list[str]:
"""Process payload and context to produce result.
Args:
payload: Input list[str] value
context: Additional int parameter
Returns:
Processed list[str] result
"""
result = f"{payload} - {context}"
return result # type: ignore[return-value]