module_3170.py•2.94 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 3170 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
class ConfigManager0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, properties: int) -> None:
"""Initialize ConfigManager0.
Args:
properties: Configuration int
"""
self.properties = properties
def validate(self, payload: str) -> bool:
"""Perform validate operation.
Args:
payload: Input str parameter
Returns:
Operation success status
"""
return True
def transform(self) -> str:
"""Perform transform operation.
Returns:
Operation result string
"""
return f"{self.properties}"
def process_data_0(payload: list[str], attributes: datetime) -> dict[str, Any]:
"""Process payload and attributes to produce result.
Args:
payload: Input list[str] value
attributes: Additional datetime parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{payload} - {attributes}"
return result # type: ignore[return-value]
def validate_input_1(options: datetime, metadata: UUID) -> str:
"""Process options and metadata to produce result.
Args:
options: Input datetime value
metadata: Additional UUID parameter
Returns:
Processed str result
"""
result = f"{options} - {metadata}"
return result # type: ignore[return-value]
def transform_output_2(data: str, context: bool) -> list[str]:
"""Process data and context to produce result.
Args:
data: Input str value
context: Additional bool parameter
Returns:
Processed list[str] result
"""
result = f"{data} - {context}"
return result # type: ignore[return-value]
def cleanup_resources_3(context: dict[str, Any], settings: int) -> dict[str, Any]:
"""Process context and settings to produce result.
Args:
context: Input dict[str, Any] value
settings: Additional int parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{context} - {settings}"
return result # type: ignore[return-value]
def transform_output_4(parameters: UUID, attributes: int) -> list[str]:
"""Process parameters and attributes to produce result.
Args:
parameters: Input UUID value
attributes: Additional int parameter
Returns:
Processed list[str] result
"""
result = f"{parameters} - {attributes}"
return result # type: ignore[return-value]