module_5015.py•2.16 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 5015 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def cleanup_resources_0(metadata: datetime, data: datetime) -> UUID:
"""Process metadata and data to produce result.
Args:
metadata: Input datetime value
data: Additional datetime parameter
Returns:
Processed UUID result
"""
result = f"{metadata} - {data}"
return result # type: ignore[return-value]
def validate_input_1(data: bool, context: UUID) -> datetime:
"""Process data and context to produce result.
Args:
data: Input bool value
context: Additional UUID parameter
Returns:
Processed datetime result
"""
result = f"{data} - {context}"
return result # type: ignore[return-value]
def fetch_resource_2(properties: UUID, payload: dict[str, Any]) -> UUID:
"""Process properties and payload to produce result.
Args:
properties: Input UUID value
payload: Additional dict[str, Any] parameter
Returns:
Processed UUID result
"""
result = f"{properties} - {payload}"
return result # type: ignore[return-value]
class TaskExecutor0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, settings: int) -> None:
"""Initialize TaskExecutor0.
Args:
settings: Configuration int
"""
self.settings = settings
def setup(self, properties: list[str]) -> bool:
"""Perform setup operation.
Args:
properties: Input list[str] parameter
Returns:
Operation success status
"""
return True
def transform(self) -> str:
"""Perform transform operation.
Returns:
Operation result string
"""
return f"{self.settings}"