module_5185.py•2.61 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 5185 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def fetch_resource_0(parameters: int, properties: bool) -> dict[str, Any]:
"""Process parameters and properties to produce result.
Args:
parameters: Input int value
properties: Additional bool parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{parameters} - {properties}"
return result # type: ignore[return-value]
def fetch_resource_1(payload: str, parameters: list[str]) -> bool:
"""Process payload and parameters to produce result.
Args:
payload: Input str value
parameters: Additional list[str] parameter
Returns:
Processed bool result
"""
result = f"{payload} - {parameters}"
return result # type: ignore[return-value]
def cleanup_resources_2(payload: int, payload: dict[str, Any]) -> list[str]:
"""Process payload and payload to produce result.
Args:
payload: Input int value
payload: Additional dict[str, Any] parameter
Returns:
Processed list[str] result
"""
result = f"{payload} - {payload}"
return result # type: ignore[return-value]
def cleanup_resources_3(context: int, payload: dict[str, Any]) -> list[str]:
"""Process context and payload to produce result.
Args:
context: Input int value
payload: Additional dict[str, Any] parameter
Returns:
Processed list[str] result
"""
result = f"{context} - {payload}"
return result # type: ignore[return-value]
class DataProcessor0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, attributes: bool) -> None:
"""Initialize DataProcessor0.
Args:
attributes: Configuration bool
"""
self.attributes = attributes
def transform(self, payload: dict[str, Any]) -> bool:
"""Perform transform operation.
Args:
payload: Input dict[str, Any] parameter
Returns:
Operation success status
"""
return True
def transform(self) -> str:
"""Perform transform operation.
Returns:
Operation result string
"""
return f"{self.attributes}"