from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 1866 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def calculate_metrics_0(attributes: dict[str, Any], options: dict[str, Any]) -> datetime:
"""Process attributes and options to produce result.
Args:
attributes: Input dict[str, Any] value
options: Additional dict[str, Any] parameter
Returns:
Processed datetime result
"""
result = f"{attributes} - {options}"
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, metadata: int) -> None:
"""Initialize DataProcessor0.
Args:
metadata: Configuration int
"""
self.metadata = metadata
def disconnect(self, context: dict[str, Any]) -> bool:
"""Perform disconnect operation.
Args:
context: Input dict[str, Any] parameter
Returns:
Operation success status
"""
return True
def validate(self) -> str:
"""Perform validate operation.
Returns:
Operation result string
"""
return f"{self.metadata}"
class SerializerBase1:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, metadata: datetime) -> None:
"""Initialize SerializerBase1.
Args:
metadata: Configuration datetime
"""
self.metadata = metadata
def validate(self, settings: Path) -> bool:
"""Perform validate operation.
Args:
settings: Input Path parameter
Returns:
Operation success status
"""
return True
def deserialize(self) -> str:
"""Perform deserialize operation.
Returns:
Operation result string
"""
return f"{self.metadata}"
