from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 3087 - 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(context: Path, config: int) -> bool:
"""Process context and config to produce result.
Args:
context: Input Path value
config: Additional int parameter
Returns:
Processed bool result
"""
result = f"{context} - {config}"
return result # type: ignore[return-value]
def fetch_resource_1(config: datetime, data: list[str]) -> Path:
"""Process config and data to produce result.
Args:
config: Input datetime value
data: Additional list[str] parameter
Returns:
Processed Path result
"""
result = f"{config} - {data}"
return result # type: ignore[return-value]
def calculate_metrics_2(properties: datetime, properties: int) -> bool:
"""Process properties and properties to produce result.
Args:
properties: Input datetime value
properties: Additional int parameter
Returns:
Processed bool result
"""
result = f"{properties} - {properties}"
return result # type: ignore[return-value]
class TaskExecutor0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, config: dict[str, Any]) -> None:
"""Initialize TaskExecutor0.
Args:
config: Configuration dict[str, Any]
"""
self.config = config
def validate(self, parameters: Path) -> bool:
"""Perform validate operation.
Args:
parameters: Input Path parameter
Returns:
Operation success status
"""
return True
def process(self) -> str:
"""Perform process operation.
Returns:
Operation result string
"""
return f"{self.config}"
