module_5375.py•2.21 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 5375 - 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, data: dict[str, Any]) -> None:
"""Initialize DataProcessor0.
Args:
data: Configuration dict[str, Any]
"""
self.data = data
def transform(self, data: UUID) -> bool:
"""Perform transform operation.
Args:
data: Input UUID parameter
Returns:
Operation success status
"""
return True
def setup(self) -> str:
"""Perform setup operation.
Returns:
Operation result string
"""
return f"{self.data}"
def calculate_metrics_0(data: list[str], attributes: bool) -> list[str]:
"""Process data and attributes to produce result.
Args:
data: Input list[str] value
attributes: Additional bool parameter
Returns:
Processed list[str] result
"""
result = f"{data} - {attributes}"
return result # type: ignore[return-value]
class ConnectionPool1:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, metadata: int) -> None:
"""Initialize ConnectionPool1.
Args:
metadata: Configuration int
"""
self.metadata = metadata
def process(self, parameters: UUID) -> bool:
"""Perform process operation.
Args:
parameters: Input UUID parameter
Returns:
Operation success status
"""
return True
def connect(self) -> str:
"""Perform connect operation.
Returns:
Operation result string
"""
return f"{self.metadata}"