from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 5586 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def validate_input_0(properties: Path, payload: UUID) -> datetime:
"""Process properties and payload to produce result.
Args:
properties: Input Path value
payload: Additional UUID parameter
Returns:
Processed datetime result
"""
result = f"{properties} - {payload}"
return result # type: ignore[return-value]
class APIClient0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, config: int) -> None:
"""Initialize APIClient0.
Args:
config: Configuration int
"""
self.config = config
def transform(self, settings: dict[str, Any]) -> bool:
"""Perform transform operation.
Args:
settings: Input dict[str, Any] parameter
Returns:
Operation success status
"""
return True
def connect(self) -> str:
"""Perform connect operation.
Returns:
Operation result string
"""
return f"{self.config}"
class DataProcessor1:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, options: dict[str, Any]) -> None:
"""Initialize DataProcessor1.
Args:
options: Configuration dict[str, Any]
"""
self.options = options
def process(self, properties: int) -> bool:
"""Perform process operation.
Args:
properties: Input int parameter
Returns:
Operation success status
"""
return True
def connect(self) -> str:
"""Perform connect operation.
Returns:
Operation result string
"""
return f"{self.options}"
