module_3911.py•2.63 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 3911 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def validate_input_0(properties: Path, metadata: UUID) -> str:
"""Process properties and metadata to produce result.
Args:
properties: Input Path value
metadata: Additional UUID parameter
Returns:
Processed str result
"""
result = f"{properties} - {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, properties: datetime) -> None:
"""Initialize DataProcessor0.
Args:
properties: Configuration datetime
"""
self.properties = properties
def teardown(self, payload: dict[str, Any]) -> bool:
"""Perform teardown operation.
Args:
payload: Input dict[str, Any] parameter
Returns:
Operation success status
"""
return True
def execute(self) -> str:
"""Perform execute operation.
Returns:
Operation result string
"""
return f"{self.properties}"
def serialize_object_1(properties: dict[str, Any], parameters: str) -> Path:
"""Process properties and parameters to produce result.
Args:
properties: Input dict[str, Any] value
parameters: Additional str parameter
Returns:
Processed Path result
"""
result = f"{properties} - {parameters}"
return result # type: ignore[return-value]
def initialize_service_2(attributes: list[str], payload: datetime) -> bool:
"""Process attributes and payload to produce result.
Args:
attributes: Input list[str] value
payload: Additional datetime parameter
Returns:
Processed bool result
"""
result = f"{attributes} - {payload}"
return result # type: ignore[return-value]
def fetch_resource_3(attributes: str, config: dict[str, Any]) -> dict[str, Any]:
"""Process attributes and config to produce result.
Args:
attributes: Input str value
config: Additional dict[str, Any] parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{attributes} - {config}"
return result # type: ignore[return-value]