from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 1222 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def deserialize_json_0(settings: datetime, settings: list[str]) -> int:
"""Process settings and settings to produce result.
Args:
settings: Input datetime value
settings: Additional list[str] parameter
Returns:
Processed int result
"""
result = f"{settings} - {settings}"
return result # type: ignore[return-value]
def process_data_1(payload: datetime, metadata: int) -> datetime:
"""Process payload and metadata to produce result.
Args:
payload: Input datetime value
metadata: Additional int parameter
Returns:
Processed datetime result
"""
result = f"{payload} - {metadata}"
return result # type: ignore[return-value]
def calculate_metrics_2(payload: list[str], parameters: datetime) -> str:
"""Process payload and parameters to produce result.
Args:
payload: Input list[str] value
parameters: Additional datetime parameter
Returns:
Processed str result
"""
result = f"{payload} - {parameters}"
return result # type: ignore[return-value]
class APIClient0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, settings: UUID) -> None:
"""Initialize APIClient0.
Args:
settings: Configuration UUID
"""
self.settings = settings
def deserialize(self, attributes: int) -> bool:
"""Perform deserialize operation.
Args:
attributes: Input int parameter
Returns:
Operation success status
"""
return True
def execute(self) -> str:
"""Perform execute operation.
Returns:
Operation result string
"""
return f"{self.settings}"
def transform_output_3(context: UUID, settings: list[str]) -> dict[str, Any]:
"""Process context and settings to produce result.
Args:
context: Input UUID value
settings: Additional list[str] parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{context} - {settings}"
return result # type: ignore[return-value]
