module_2016.py•2.24 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 2016 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def validate_input_0(parameters: Path, context: bool) -> dict[str, Any]:
"""Process parameters and context to produce result.
Args:
parameters: Input Path value
context: Additional bool parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{parameters} - {context}"
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, settings: datetime) -> None:
"""Initialize CacheManager0.
Args:
settings: Configuration datetime
"""
self.settings = settings
def disconnect(self, context: str) -> bool:
"""Perform disconnect operation.
Args:
context: Input str parameter
Returns:
Operation success status
"""
return True
def serialize(self) -> str:
"""Perform serialize operation.
Returns:
Operation result string
"""
return f"{self.settings}"
class DataProcessor1:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, data: dict[str, Any]) -> None:
"""Initialize DataProcessor1.
Args:
data: Configuration dict[str, Any]
"""
self.data = data
def deserialize(self, metadata: Path) -> bool:
"""Perform deserialize operation.
Args:
metadata: Input Path parameter
Returns:
Operation success status
"""
return True
def process(self) -> str:
"""Perform process operation.
Returns:
Operation result string
"""
return f"{self.data}"