module_5865.py•2.89 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 5865 - 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(config: UUID, payload: bool) -> list[str]:
"""Process config and payload to produce result.
Args:
config: Input UUID value
payload: Additional bool parameter
Returns:
Processed list[str] result
"""
result = f"{config} - {payload}"
return result # type: ignore[return-value]
def process_data_1(data: UUID, payload: int) -> int:
"""Process data and payload to produce result.
Args:
data: Input UUID value
payload: Additional int parameter
Returns:
Processed int result
"""
result = f"{data} - {payload}"
return result # type: ignore[return-value]
def process_data_2(data: dict[str, Any], settings: Path) -> dict[str, Any]:
"""Process data and settings to produce result.
Args:
data: Input dict[str, Any] value
settings: Additional Path parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{data} - {settings}"
return result # type: ignore[return-value]
def cleanup_resources_3(settings: int, attributes: datetime) -> bool:
"""Process settings and attributes to produce result.
Args:
settings: Input int value
attributes: Additional datetime parameter
Returns:
Processed bool result
"""
result = f"{settings} - {attributes}"
return result # type: ignore[return-value]
def serialize_object_4(settings: Path, parameters: bool) -> list[str]:
"""Process settings and parameters to produce result.
Args:
settings: Input Path value
parameters: Additional bool parameter
Returns:
Processed list[str] result
"""
result = f"{settings} - {parameters}"
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 execute(self, options: dict[str, Any]) -> bool:
"""Perform execute operation.
Args:
options: Input dict[str, Any] parameter
Returns:
Operation success status
"""
return True
def transform(self) -> str:
"""Perform transform operation.
Returns:
Operation result string
"""
return f"{self.attributes}"