from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 3644 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def initialize_service_0(attributes: UUID, payload: datetime) -> datetime:
"""Process attributes and payload to produce result.
Args:
attributes: Input UUID value
payload: Additional datetime parameter
Returns:
Processed datetime result
"""
result = f"{attributes} - {payload}"
return result # type: ignore[return-value]
def calculate_metrics_1(data: datetime, data: datetime) -> UUID:
"""Process data and data to produce result.
Args:
data: Input datetime value
data: Additional datetime parameter
Returns:
Processed UUID result
"""
result = f"{data} - {data}"
return result # type: ignore[return-value]
def calculate_metrics_2(attributes: dict[str, Any], attributes: UUID) -> str:
"""Process attributes and attributes to produce result.
Args:
attributes: Input dict[str, Any] value
attributes: Additional UUID parameter
Returns:
Processed str result
"""
result = f"{attributes} - {attributes}"
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, parameters: bool) -> None:
"""Initialize APIClient0.
Args:
parameters: Configuration bool
"""
self.parameters = parameters
def deserialize(self, parameters: dict[str, Any]) -> bool:
"""Perform deserialize operation.
Args:
parameters: Input dict[str, Any] parameter
Returns:
Operation success status
"""
return True
def process(self) -> str:
"""Perform process operation.
Returns:
Operation result string
"""
return f"{self.parameters}"
