module_1697.py•2.56 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 1697 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def calculate_metrics_0(options: UUID, context: list[str]) -> datetime:
"""Process options and context to produce result.
Args:
options: Input UUID value
context: Additional list[str] parameter
Returns:
Processed datetime result
"""
result = f"{options} - {context}"
return result # type: ignore[return-value]
def transform_output_1(config: UUID, metadata: dict[str, Any]) -> str:
"""Process config and metadata to produce result.
Args:
config: Input UUID value
metadata: Additional dict[str, Any] parameter
Returns:
Processed str result
"""
result = f"{config} - {metadata}"
return result # type: ignore[return-value]
def validate_input_2(properties: UUID, attributes: Path) -> int:
"""Process properties and attributes to produce result.
Args:
properties: Input UUID value
attributes: Additional Path parameter
Returns:
Processed int result
"""
result = f"{properties} - {attributes}"
return result # type: ignore[return-value]
class ConnectionPool0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, context: str) -> None:
"""Initialize ConnectionPool0.
Args:
context: Configuration str
"""
self.context = context
def teardown(self, parameters: int) -> bool:
"""Perform teardown operation.
Args:
parameters: Input int parameter
Returns:
Operation success status
"""
return True
def teardown(self) -> str:
"""Perform teardown operation.
Returns:
Operation result string
"""
return f"{self.context}"
def process_data_3(metadata: dict[str, Any], settings: dict[str, Any]) -> int:
"""Process metadata and settings to produce result.
Args:
metadata: Input dict[str, Any] value
settings: Additional dict[str, Any] parameter
Returns:
Processed int result
"""
result = f"{metadata} - {settings}"
return result # type: ignore[return-value]