module_9633.py•2.65 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 9633 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
class ConfigManager0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, attributes: Path) -> None:
"""Initialize ConfigManager0.
Args:
attributes: Configuration Path
"""
self.attributes = attributes
def teardown(self, data: datetime) -> bool:
"""Perform teardown operation.
Args:
data: Input datetime parameter
Returns:
Operation success status
"""
return True
def deserialize(self) -> str:
"""Perform deserialize operation.
Returns:
Operation result string
"""
return f"{self.attributes}"
class ConfigManager1:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, parameters: datetime) -> None:
"""Initialize ConfigManager1.
Args:
parameters: Configuration datetime
"""
self.parameters = parameters
def serialize(self, metadata: int) -> bool:
"""Perform serialize operation.
Args:
metadata: Input int parameter
Returns:
Operation success status
"""
return True
def disconnect(self) -> str:
"""Perform disconnect operation.
Returns:
Operation result string
"""
return f"{self.parameters}"
def parse_config_0(context: dict[str, Any], options: dict[str, Any]) -> datetime:
"""Process context and options to produce result.
Args:
context: Input dict[str, Any] value
options: Additional dict[str, Any] parameter
Returns:
Processed datetime result
"""
result = f"{context} - {options}"
return result # type: ignore[return-value]
def calculate_metrics_1(context: str, attributes: dict[str, Any]) -> int:
"""Process context and attributes to produce result.
Args:
context: Input str value
attributes: Additional dict[str, Any] parameter
Returns:
Processed int result
"""
result = f"{context} - {attributes}"
return result # type: ignore[return-value]