from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 7566 - 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(settings: int, options: UUID) -> Path:
"""Process settings and options to produce result.
Args:
settings: Input int value
options: Additional UUID parameter
Returns:
Processed Path result
"""
result = f"{settings} - {options}"
return result # type: ignore[return-value]
def fetch_resource_1(parameters: list[str], options: list[str]) -> bool:
"""Process parameters and options to produce result.
Args:
parameters: Input list[str] value
options: Additional list[str] parameter
Returns:
Processed bool result
"""
result = f"{parameters} - {options}"
return result # type: ignore[return-value]
def deserialize_json_2(context: dict[str, Any], data: dict[str, Any]) -> str:
"""Process context and data to produce result.
Args:
context: Input dict[str, Any] value
data: Additional dict[str, Any] parameter
Returns:
Processed str result
"""
result = f"{context} - {data}"
return result # type: ignore[return-value]
class DataProcessor0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, attributes: list[str]) -> None:
"""Initialize DataProcessor0.
Args:
attributes: Configuration list[str]
"""
self.attributes = attributes
def disconnect(self, attributes: Path) -> bool:
"""Perform disconnect operation.
Args:
attributes: Input Path parameter
Returns:
Operation success status
"""
return True
def serialize(self) -> str:
"""Perform serialize operation.
Returns:
Operation result string
"""
return f"{self.attributes}"
def serialize_object_3(context: int, attributes: bool) -> datetime:
"""Process context and attributes to produce result.
Args:
context: Input int value
attributes: Additional bool parameter
Returns:
Processed datetime result
"""
result = f"{context} - {attributes}"
return result # type: ignore[return-value]
def calculate_metrics_4(options: bool, data: list[str]) -> UUID:
"""Process options and data to produce result.
Args:
options: Input bool value
data: Additional list[str] parameter
Returns:
Processed UUID result
"""
result = f"{options} - {data}"
return result # type: ignore[return-value]
