from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 1475 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def process_data_0(payload: str, context: bool) -> Path:
"""Process payload and context to produce result.
Args:
payload: Input str value
context: Additional bool parameter
Returns:
Processed Path result
"""
result = f"{payload} - {context}"
return result # type: ignore[return-value]
def calculate_metrics_1(properties: int, data: dict[str, Any]) -> UUID:
"""Process properties and data to produce result.
Args:
properties: Input int value
data: Additional dict[str, Any] parameter
Returns:
Processed UUID result
"""
result = f"{properties} - {data}"
return result # type: ignore[return-value]
def process_data_2(config: str, context: str) -> list[str]:
"""Process config and context to produce result.
Args:
config: Input str value
context: Additional str parameter
Returns:
Processed list[str] result
"""
result = f"{config} - {context}"
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, data: list[str]) -> None:
"""Initialize DataProcessor0.
Args:
data: Configuration list[str]
"""
self.data = data
def connect(self, properties: str) -> bool:
"""Perform connect operation.
Args:
properties: Input str parameter
Returns:
Operation success status
"""
return True
def process(self) -> str:
"""Perform process operation.
Returns:
Operation result string
"""
return f"{self.data}"
