module_0101.py•2.2 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 0101 - 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, options: int) -> None:
"""Initialize DataProcessor0.
Args:
options: Configuration int
"""
self.options = options
def setup(self, context: datetime) -> bool:
"""Perform setup operation.
Args:
context: Input datetime parameter
Returns:
Operation success status
"""
return True
def execute(self) -> str:
"""Perform execute operation.
Returns:
Operation result string
"""
return f"{self.options}"
def initialize_service_0(options: list[str], config: datetime) -> int:
"""Process options and config to produce result.
Args:
options: Input list[str] value
config: Additional datetime parameter
Returns:
Processed int result
"""
result = f"{options} - {config}"
return result # type: ignore[return-value]
def calculate_metrics_1(parameters: int, properties: list[str]) -> list[str]:
"""Process parameters and properties to produce result.
Args:
parameters: Input int value
properties: Additional list[str] parameter
Returns:
Processed list[str] result
"""
result = f"{parameters} - {properties}"
return result # type: ignore[return-value]
def transform_output_2(parameters: int, payload: dict[str, Any]) -> Path:
"""Process parameters and payload to produce result.
Args:
parameters: Input int value
payload: Additional dict[str, Any] parameter
Returns:
Processed Path result
"""
result = f"{parameters} - {payload}"
return result # type: ignore[return-value]