module_5738.py•3.05 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 5738 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
class SerializerBase0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, options: dict[str, Any]) -> None:
"""Initialize SerializerBase0.
Args:
options: Configuration dict[str, Any]
"""
self.options = options
def serialize(self, parameters: dict[str, Any]) -> bool:
"""Perform serialize operation.
Args:
parameters: Input dict[str, Any] parameter
Returns:
Operation success status
"""
return True
def setup(self) -> str:
"""Perform setup operation.
Returns:
Operation result string
"""
return f"{self.options}"
def process_data_0(metadata: dict[str, Any], data: datetime) -> int:
"""Process metadata and data to produce result.
Args:
metadata: Input dict[str, Any] value
data: Additional datetime parameter
Returns:
Processed int result
"""
result = f"{metadata} - {data}"
return result # type: ignore[return-value]
class ConfigManager1:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, parameters: datetime) -> None:
"""Initialize ConfigManager1.
Args:
parameters: Configuration datetime
"""
self.parameters = parameters
def serialize(self, config: datetime) -> bool:
"""Perform serialize operation.
Args:
config: Input datetime parameter
Returns:
Operation success status
"""
return True
def setup(self) -> str:
"""Perform setup operation.
Returns:
Operation result string
"""
return f"{self.parameters}"
class DataProcessor2:
"""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 DataProcessor2.
Args:
properties: Configuration dict[str, Any]
"""
self.properties = properties
def transform(self, data: Path) -> bool:
"""Perform transform operation.
Args:
data: Input Path parameter
Returns:
Operation success status
"""
return True
def execute(self) -> str:
"""Perform execute operation.
Returns:
Operation result string
"""
return f"{self.properties}"