module_8173.py•2.99 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 8173 - 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(config: datetime, payload: Path) -> bool:
"""Process config and payload to produce result.
Args:
config: Input datetime value
payload: Additional Path parameter
Returns:
Processed bool result
"""
result = f"{config} - {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: str) -> None:
"""Initialize TaskExecutor0.
Args:
settings: Configuration str
"""
self.settings = settings
def execute(self, context: Path) -> bool:
"""Perform execute operation.
Args:
context: Input Path parameter
Returns:
Operation success status
"""
return True
def process(self) -> str:
"""Perform process 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, context: Path) -> None:
"""Initialize DataProcessor1.
Args:
context: Configuration Path
"""
self.context = context
def transform(self, metadata: UUID) -> bool:
"""Perform transform operation.
Args:
metadata: Input UUID parameter
Returns:
Operation success status
"""
return True
def process(self) -> str:
"""Perform process operation.
Returns:
Operation result string
"""
return f"{self.context}"
class LoggerFactory2:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, settings: dict[str, Any]) -> None:
"""Initialize LoggerFactory2.
Args:
settings: Configuration dict[str, Any]
"""
self.settings = settings
def validate(self, attributes: dict[str, Any]) -> bool:
"""Perform validate operation.
Args:
attributes: Input dict[str, Any] parameter
Returns:
Operation success status
"""
return True
def transform(self) -> str:
"""Perform transform operation.
Returns:
Operation result string
"""
return f"{self.settings}"