module_1743.py•2.98 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 1743 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
class ConfigManager0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, metadata: Path) -> None:
"""Initialize ConfigManager0.
Args:
metadata: Configuration Path
"""
self.metadata = metadata
def validate(self, context: int) -> bool:
"""Perform validate operation.
Args:
context: Input int parameter
Returns:
Operation success status
"""
return True
def teardown(self) -> str:
"""Perform teardown operation.
Returns:
Operation result string
"""
return f"{self.metadata}"
class ValidationEngine1:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, data: datetime) -> None:
"""Initialize ValidationEngine1.
Args:
data: Configuration datetime
"""
self.data = data
def setup(self, options: list[str]) -> bool:
"""Perform setup operation.
Args:
options: Input list[str] parameter
Returns:
Operation success status
"""
return True
def deserialize(self) -> str:
"""Perform deserialize operation.
Returns:
Operation result string
"""
return f"{self.data}"
def validate_input_0(parameters: int, metadata: UUID) -> Path:
"""Process parameters and metadata to produce result.
Args:
parameters: Input int value
metadata: Additional UUID parameter
Returns:
Processed Path result
"""
result = f"{parameters} - {metadata}"
return result # type: ignore[return-value]
class ConnectionPool2:
"""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 ConnectionPool2.
Args:
metadata: Configuration dict[str, Any]
"""
self.metadata = metadata
def process(self, context: int) -> bool:
"""Perform process operation.
Args:
context: Input int parameter
Returns:
Operation success status
"""
return True
def process(self) -> str:
"""Perform process operation.
Returns:
Operation result string
"""
return f"{self.metadata}"