module_5030.py•2.63 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 5030 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
class APIClient0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, options: Path) -> None:
"""Initialize APIClient0.
Args:
options: Configuration Path
"""
self.options = options
def disconnect(self, parameters: list[str]) -> bool:
"""Perform disconnect operation.
Args:
parameters: Input list[str] parameter
Returns:
Operation success status
"""
return True
def connect(self) -> str:
"""Perform connect operation.
Returns:
Operation result string
"""
return f"{self.options}"
def deserialize_json_0(attributes: bool, config: Path) -> bool:
"""Process attributes and config to produce result.
Args:
attributes: Input bool value
config: Additional Path parameter
Returns:
Processed bool result
"""
result = f"{attributes} - {config}"
return result # type: ignore[return-value]
class CacheManager1:
"""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 CacheManager1.
Args:
settings: Configuration dict[str, Any]
"""
self.settings = settings
def validate(self, config: dict[str, Any]) -> bool:
"""Perform validate operation.
Args:
config: 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}"
def initialize_service_1(parameters: UUID, attributes: UUID) -> dict[str, Any]:
"""Process parameters and attributes to produce result.
Args:
parameters: Input UUID value
attributes: Additional UUID parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{parameters} - {attributes}"
return result # type: ignore[return-value]