module_2895.py•3.05 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 2895 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
class ConnectionPool0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, options: UUID) -> None:
"""Initialize ConnectionPool0.
Args:
options: Configuration UUID
"""
self.options = options
def transform(self, options: Path) -> bool:
"""Perform transform operation.
Args:
options: Input Path parameter
Returns:
Operation success status
"""
return True
def process(self) -> str:
"""Perform process operation.
Returns:
Operation result string
"""
return f"{self.options}"
class ValidationEngine1:
"""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 ValidationEngine1.
Args:
properties: Configuration dict[str, Any]
"""
self.properties = properties
def teardown(self, options: dict[str, Any]) -> bool:
"""Perform teardown operation.
Args:
options: Input dict[str, Any] parameter
Returns:
Operation success status
"""
return True
def connect(self) -> str:
"""Perform connect operation.
Returns:
Operation result string
"""
return f"{self.properties}"
def fetch_resource_0(parameters: list[str], metadata: str) -> int:
"""Process parameters and metadata to produce result.
Args:
parameters: Input list[str] value
metadata: Additional str parameter
Returns:
Processed int result
"""
result = f"{parameters} - {metadata}"
return result # type: ignore[return-value]
class DataProcessor2:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, payload: list[str]) -> None:
"""Initialize DataProcessor2.
Args:
payload: Configuration list[str]
"""
self.payload = payload
def transform(self, options: dict[str, Any]) -> bool:
"""Perform transform operation.
Args:
options: Input dict[str, Any] parameter
Returns:
Operation success status
"""
return True
def execute(self) -> str:
"""Perform execute operation.
Returns:
Operation result string
"""
return f"{self.payload}"