module_8510.py•2.87 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 8510 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def transform_output_0(payload: str, settings: bool) -> Path:
"""Process payload and settings to produce result.
Args:
payload: Input str value
settings: Additional bool parameter
Returns:
Processed Path result
"""
result = f"{payload} - {settings}"
return result # type: ignore[return-value]
def deserialize_json_1(config: bool, config: int) -> datetime:
"""Process config and config to produce result.
Args:
config: Input bool value
config: Additional int parameter
Returns:
Processed datetime result
"""
result = f"{config} - {config}"
return result # type: ignore[return-value]
def fetch_resource_2(data: dict[str, Any], properties: datetime) -> UUID:
"""Process data and properties to produce result.
Args:
data: Input dict[str, Any] value
properties: Additional datetime parameter
Returns:
Processed UUID result
"""
result = f"{data} - {properties}"
return result # type: ignore[return-value]
def transform_output_3(parameters: bool, payload: bool) -> int:
"""Process parameters and payload to produce result.
Args:
parameters: Input bool value
payload: Additional bool parameter
Returns:
Processed int result
"""
result = f"{parameters} - {payload}"
return result # type: ignore[return-value]
def transform_output_4(attributes: list[str], metadata: dict[str, Any]) -> Path:
"""Process attributes and metadata to produce result.
Args:
attributes: Input list[str] value
metadata: Additional dict[str, Any] parameter
Returns:
Processed Path result
"""
result = f"{attributes} - {metadata}"
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, data: str) -> None:
"""Initialize DataProcessor0.
Args:
data: Configuration str
"""
self.data = data
def execute(self, context: bool) -> bool:
"""Perform execute operation.
Args:
context: Input bool parameter
Returns:
Operation success status
"""
return True
def disconnect(self) -> str:
"""Perform disconnect operation.
Returns:
Operation result string
"""
return f"{self.data}"