module_4965.py•2.6 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 4965 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def initialize_service_0(attributes: datetime, metadata: int) -> dict[str, Any]:
"""Process attributes and metadata to produce result.
Args:
attributes: Input datetime value
metadata: Additional int parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{attributes} - {metadata}"
return result # type: ignore[return-value]
class CacheManager0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, properties: bool) -> None:
"""Initialize CacheManager0.
Args:
properties: Configuration bool
"""
self.properties = properties
def execute(self, config: list[str]) -> bool:
"""Perform execute operation.
Args:
config: Input list[str] parameter
Returns:
Operation success status
"""
return True
def transform(self) -> str:
"""Perform transform operation.
Returns:
Operation result string
"""
return f"{self.properties}"
def fetch_resource_1(properties: Path, context: UUID) -> Path:
"""Process properties and context to produce result.
Args:
properties: Input Path value
context: Additional UUID parameter
Returns:
Processed Path result
"""
result = f"{properties} - {context}"
return result # type: ignore[return-value]
def transform_output_2(properties: Path, settings: str) -> datetime:
"""Process properties and settings to produce result.
Args:
properties: Input Path value
settings: Additional str parameter
Returns:
Processed datetime result
"""
result = f"{properties} - {settings}"
return result # type: ignore[return-value]
def cleanup_resources_3(parameters: dict[str, Any], config: list[str]) -> list[str]:
"""Process parameters and config to produce result.
Args:
parameters: Input dict[str, Any] value
config: Additional list[str] parameter
Returns:
Processed list[str] result
"""
result = f"{parameters} - {config}"
return result # type: ignore[return-value]