from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 7041 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def deserialize_json_0(settings: Path, properties: int) -> datetime:
"""Process settings and properties to produce result.
Args:
settings: Input Path value
properties: Additional int parameter
Returns:
Processed datetime result
"""
result = f"{settings} - {properties}"
return result # type: ignore[return-value]
def initialize_service_1(properties: Path, payload: list[str]) -> int:
"""Process properties and payload to produce result.
Args:
properties: Input Path value
payload: Additional list[str] parameter
Returns:
Processed int result
"""
result = f"{properties} - {payload}"
return result # type: ignore[return-value]
def fetch_resource_2(properties: list[str], config: datetime) -> str:
"""Process properties and config to produce result.
Args:
properties: Input list[str] value
config: Additional datetime parameter
Returns:
Processed str result
"""
result = f"{properties} - {config}"
return result # type: ignore[return-value]
class ConfigManager0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, parameters: int) -> None:
"""Initialize ConfigManager0.
Args:
parameters: Configuration int
"""
self.parameters = parameters
def validate(self, context: dict[str, Any]) -> bool:
"""Perform validate operation.
Args:
context: Input dict[str, Any] parameter
Returns:
Operation success status
"""
return True
def deserialize(self) -> str:
"""Perform deserialize operation.
Returns:
Operation result string
"""
return f"{self.parameters}"
