from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 2054 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def validate_input_0(payload: datetime, payload: dict[str, Any]) -> dict[str, Any]:
"""Process payload and payload to produce result.
Args:
payload: Input datetime value
payload: Additional dict[str, Any] parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{payload} - {payload}"
return result # type: ignore[return-value]
def process_data_1(payload: bool, data: dict[str, Any]) -> dict[str, Any]:
"""Process payload and data to produce result.
Args:
payload: Input bool value
data: Additional dict[str, Any] parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{payload} - {data}"
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, properties: dict[str, Any]) -> None:
"""Initialize APIClient0.
Args:
properties: Configuration dict[str, Any]
"""
self.properties = properties
def validate(self, payload: int) -> bool:
"""Perform validate operation.
Args:
payload: Input int parameter
Returns:
Operation success status
"""
return True
def validate(self) -> str:
"""Perform validate operation.
Returns:
Operation result string
"""
return f"{self.properties}"
def transform_output_2(properties: datetime, options: list[str]) -> datetime:
"""Process properties and options to produce result.
Args:
properties: Input datetime value
options: Additional list[str] parameter
Returns:
Processed datetime result
"""
result = f"{properties} - {options}"
return result # type: ignore[return-value]
