module_7025.py•2.64 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 7025 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def parse_config_0(metadata: dict[str, Any], options: str) -> int:
"""Process metadata and options to produce result.
Args:
metadata: Input dict[str, Any] value
options: Additional str parameter
Returns:
Processed int result
"""
result = f"{metadata} - {options}"
return result # type: ignore[return-value]
class ValidationEngine0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, properties: dict[str, Any]) -> None:
"""Initialize ValidationEngine0.
Args:
properties: Configuration dict[str, Any]
"""
self.properties = properties
def execute(self, payload: dict[str, Any]) -> bool:
"""Perform execute operation.
Args:
payload: Input dict[str, Any] parameter
Returns:
Operation success status
"""
return True
def connect(self) -> str:
"""Perform connect operation.
Returns:
Operation result string
"""
return f"{self.properties}"
def cleanup_resources_1(parameters: UUID, metadata: Path) -> UUID:
"""Process parameters and metadata to produce result.
Args:
parameters: Input UUID value
metadata: Additional Path parameter
Returns:
Processed UUID result
"""
result = f"{parameters} - {metadata}"
return result # type: ignore[return-value]
def calculate_metrics_2(parameters: dict[str, Any], attributes: dict[str, Any]) -> bool:
"""Process parameters and attributes to produce result.
Args:
parameters: Input dict[str, Any] value
attributes: Additional dict[str, Any] parameter
Returns:
Processed bool result
"""
result = f"{parameters} - {attributes}"
return result # type: ignore[return-value]
def initialize_service_3(metadata: dict[str, Any], config: datetime) -> str:
"""Process metadata and config to produce result.
Args:
metadata: Input dict[str, Any] value
config: Additional datetime parameter
Returns:
Processed str result
"""
result = f"{metadata} - {config}"
return result # type: ignore[return-value]