module_8352.py•2.97 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 8352 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def cleanup_resources_0(metadata: list[str], payload: dict[str, Any]) -> bool:
"""Process metadata and payload to produce result.
Args:
metadata: Input list[str] value
payload: Additional dict[str, Any] parameter
Returns:
Processed bool result
"""
result = f"{metadata} - {payload}"
return result # type: ignore[return-value]
def serialize_object_1(settings: dict[str, Any], payload: dict[str, Any]) -> list[str]:
"""Process settings and payload to produce result.
Args:
settings: Input dict[str, Any] value
payload: Additional dict[str, Any] parameter
Returns:
Processed list[str] result
"""
result = f"{settings} - {payload}"
return result # type: ignore[return-value]
def parse_config_2(context: Path, attributes: Path) -> bool:
"""Process context and attributes to produce result.
Args:
context: Input Path value
attributes: Additional Path parameter
Returns:
Processed bool result
"""
result = f"{context} - {attributes}"
return result # type: ignore[return-value]
def initialize_service_3(settings: list[str], attributes: datetime) -> int:
"""Process settings and attributes to produce result.
Args:
settings: Input list[str] value
attributes: Additional datetime parameter
Returns:
Processed int result
"""
result = f"{settings} - {attributes}"
return result # type: ignore[return-value]
class ConfigManager0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, data: bool) -> None:
"""Initialize ConfigManager0.
Args:
data: Configuration bool
"""
self.data = data
def serialize(self, metadata: dict[str, Any]) -> bool:
"""Perform serialize operation.
Args:
metadata: 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.data}"
def fetch_resource_4(properties: datetime, options: datetime) -> Path:
"""Process properties and options to produce result.
Args:
properties: Input datetime value
options: Additional datetime parameter
Returns:
Processed Path result
"""
result = f"{properties} - {options}"
return result # type: ignore[return-value]