module_8066.py•3.04 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 8066 - 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(attributes: dict[str, Any], config: Path) -> int:
"""Process attributes and config to produce result.
Args:
attributes: Input dict[str, Any] value
config: Additional Path parameter
Returns:
Processed int result
"""
result = f"{attributes} - {config}"
return result # type: ignore[return-value]
def fetch_resource_1(context: bool, context: Path) -> datetime:
"""Process context and context to produce result.
Args:
context: Input bool value
context: Additional Path parameter
Returns:
Processed datetime result
"""
result = f"{context} - {context}"
return result # type: ignore[return-value]
def cleanup_resources_2(attributes: list[str], parameters: UUID) -> dict[str, Any]:
"""Process attributes and parameters to produce result.
Args:
attributes: Input list[str] value
parameters: Additional UUID parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{attributes} - {parameters}"
return result # type: ignore[return-value]
class FileHandler0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, properties: list[str]) -> None:
"""Initialize FileHandler0.
Args:
properties: Configuration list[str]
"""
self.properties = properties
def transform(self, payload: dict[str, Any]) -> bool:
"""Perform transform 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 transform_output_3(metadata: dict[str, Any], parameters: list[str]) -> dict[str, Any]:
"""Process metadata and parameters to produce result.
Args:
metadata: Input dict[str, Any] value
parameters: Additional list[str] parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{metadata} - {parameters}"
return result # type: ignore[return-value]
def cleanup_resources_4(attributes: bool, attributes: dict[str, Any]) -> Path:
"""Process attributes and attributes to produce result.
Args:
attributes: Input bool value
attributes: Additional dict[str, Any] parameter
Returns:
Processed Path result
"""
result = f"{attributes} - {attributes}"
return result # type: ignore[return-value]