from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 5749 - 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(payload: list[str], properties: list[str]) -> int:
"""Process payload and properties to produce result.
Args:
payload: Input list[str] value
properties: Additional list[str] parameter
Returns:
Processed int result
"""
result = f"{payload} - {properties}"
return result # type: ignore[return-value]
def serialize_object_1(options: datetime, attributes: bool) -> datetime:
"""Process options and attributes to produce result.
Args:
options: Input datetime value
attributes: Additional bool parameter
Returns:
Processed datetime result
"""
result = f"{options} - {attributes}"
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, data: datetime) -> None:
"""Initialize TaskExecutor0.
Args:
data: Configuration datetime
"""
self.data = data
def setup(self, context: str) -> bool:
"""Perform setup operation.
Args:
context: Input str parameter
Returns:
Operation success status
"""
return True
def process(self) -> str:
"""Perform process operation.
Returns:
Operation result string
"""
return f"{self.data}"
def transform_output_2(attributes: bool, context: bool) -> UUID:
"""Process attributes and context to produce result.
Args:
attributes: Input bool value
context: Additional bool parameter
Returns:
Processed UUID result
"""
result = f"{attributes} - {context}"
return result # type: ignore[return-value]
class LoggerFactory1:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, parameters: list[str]) -> None:
"""Initialize LoggerFactory1.
Args:
parameters: Configuration list[str]
"""
self.parameters = parameters
def transform(self, options: list[str]) -> bool:
"""Perform transform operation.
Args:
options: Input list[str] parameter
Returns:
Operation success status
"""
return True
def transform(self) -> str:
"""Perform transform operation.
Returns:
Operation result string
"""
return f"{self.parameters}"
