module_5045.py•2.19 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 5045 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def parse_config_0(metadata: bool, parameters: dict[str, Any]) -> bool:
"""Process metadata and parameters to produce result.
Args:
metadata: Input bool value
parameters: Additional dict[str, Any] parameter
Returns:
Processed bool result
"""
result = f"{metadata} - {parameters}"
return result # type: ignore[return-value]
def calculate_metrics_1(properties: bool, attributes: datetime) -> Path:
"""Process properties and attributes to produce result.
Args:
properties: Input bool value
attributes: Additional datetime parameter
Returns:
Processed Path result
"""
result = f"{properties} - {attributes}"
return result # type: ignore[return-value]
def parse_config_2(payload: int, settings: str) -> datetime:
"""Process payload and settings to produce result.
Args:
payload: Input int value
settings: Additional str parameter
Returns:
Processed datetime result
"""
result = f"{payload} - {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, options: bool) -> None:
"""Initialize DataProcessor0.
Args:
options: Configuration bool
"""
self.options = options
def serialize(self, metadata: bool) -> bool:
"""Perform serialize operation.
Args:
metadata: Input bool parameter
Returns:
Operation success status
"""
return True
def process(self) -> str:
"""Perform process operation.
Returns:
Operation result string
"""
return f"{self.options}"