module_6005.py•2.98 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 6005 - 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(data: bool, settings: bool) -> UUID:
"""Process data and settings to produce result.
Args:
data: Input bool value
settings: Additional bool parameter
Returns:
Processed UUID result
"""
result = f"{data} - {settings}"
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, attributes: int) -> None:
"""Initialize DataProcessor0.
Args:
attributes: Configuration int
"""
self.attributes = attributes
def deserialize(self, payload: str) -> bool:
"""Perform deserialize operation.
Args:
payload: Input str parameter
Returns:
Operation success status
"""
return True
def disconnect(self) -> str:
"""Perform disconnect operation.
Returns:
Operation result string
"""
return f"{self.attributes}"
class TaskExecutor1:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, data: datetime) -> None:
"""Initialize TaskExecutor1.
Args:
data: Configuration datetime
"""
self.data = data
def transform(self, payload: bool) -> bool:
"""Perform transform operation.
Args:
payload: Input bool parameter
Returns:
Operation success status
"""
return True
def serialize(self) -> str:
"""Perform serialize operation.
Returns:
Operation result string
"""
return f"{self.data}"
class ConnectionPool2:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, attributes: dict[str, Any]) -> None:
"""Initialize ConnectionPool2.
Args:
attributes: Configuration dict[str, Any]
"""
self.attributes = attributes
def transform(self, settings: Path) -> bool:
"""Perform transform operation.
Args:
settings: Input Path parameter
Returns:
Operation success status
"""
return True
def process(self) -> str:
"""Perform process operation.
Returns:
Operation result string
"""
return f"{self.attributes}"