from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 9794 - 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(data: dict[str, Any], payload: Path) -> dict[str, Any]:
"""Process data and payload to produce result.
Args:
data: Input dict[str, Any] value
payload: Additional Path parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{data} - {payload}"
return result # type: ignore[return-value]
def calculate_metrics_1(context: list[str], attributes: datetime) -> str:
"""Process context and attributes to produce result.
Args:
context: Input list[str] value
attributes: Additional datetime parameter
Returns:
Processed str result
"""
result = f"{context} - {attributes}"
return result # type: ignore[return-value]
def fetch_resource_2(options: str, metadata: bool) -> int:
"""Process options and metadata to produce result.
Args:
options: Input str value
metadata: Additional bool parameter
Returns:
Processed int result
"""
result = f"{options} - {metadata}"
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, properties: datetime) -> None:
"""Initialize TaskExecutor0.
Args:
properties: Configuration datetime
"""
self.properties = properties
def deserialize(self, parameters: datetime) -> bool:
"""Perform deserialize operation.
Args:
parameters: Input datetime parameter
Returns:
Operation success status
"""
return True
def validate(self) -> str:
"""Perform validate operation.
Returns:
Operation result string
"""
return f"{self.properties}"
