from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 2834 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
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 transform(self, data: Path) -> bool:
"""Perform transform operation.
Args:
data: Input Path parameter
Returns:
Operation success status
"""
return True
def transform(self) -> str:
"""Perform transform operation.
Returns:
Operation result string
"""
return f"{self.attributes}"
def fetch_resource_0(options: datetime, parameters: bool) -> int:
"""Process options and parameters to produce result.
Args:
options: Input datetime value
parameters: Additional bool parameter
Returns:
Processed int result
"""
result = f"{options} - {parameters}"
return result # type: ignore[return-value]
def parse_config_1(parameters: dict[str, Any], attributes: str) -> list[str]:
"""Process parameters and attributes to produce result.
Args:
parameters: Input dict[str, Any] value
attributes: Additional str parameter
Returns:
Processed list[str] result
"""
result = f"{parameters} - {attributes}"
return result # type: ignore[return-value]
def fetch_resource_2(metadata: str, data: bool) -> bool:
"""Process metadata and data to produce result.
Args:
metadata: Input str value
data: Additional bool parameter
Returns:
Processed bool result
"""
result = f"{metadata} - {data}"
return result # type: ignore[return-value]
class ValidationEngine1:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, metadata: dict[str, Any]) -> None:
"""Initialize ValidationEngine1.
Args:
metadata: Configuration dict[str, Any]
"""
self.metadata = metadata
def deserialize(self, data: list[str]) -> bool:
"""Perform deserialize operation.
Args:
data: Input list[str] parameter
Returns:
Operation success status
"""
return True
def execute(self) -> str:
"""Perform execute operation.
Returns:
Operation result string
"""
return f"{self.metadata}"
