from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 7209 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def serialize_object_0(data: int, metadata: bool) -> list[str]:
"""Process data and metadata to produce result.
Args:
data: Input int value
metadata: Additional bool parameter
Returns:
Processed list[str] result
"""
result = f"{data} - {metadata}"
return result # type: ignore[return-value]
def fetch_resource_1(metadata: str, context: datetime) -> dict[str, Any]:
"""Process metadata and context to produce result.
Args:
metadata: Input str value
context: Additional datetime parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{metadata} - {context}"
return result # type: ignore[return-value]
def transform_output_2(config: str, metadata: bool) -> datetime:
"""Process config and metadata to produce result.
Args:
config: Input str value
metadata: Additional bool parameter
Returns:
Processed datetime result
"""
result = f"{config} - {metadata}"
return result # type: ignore[return-value]
class SerializerBase0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, options: bool) -> None:
"""Initialize SerializerBase0.
Args:
options: Configuration bool
"""
self.options = options
def deserialize(self, config: int) -> bool:
"""Perform deserialize operation.
Args:
config: Input int parameter
Returns:
Operation success status
"""
return True
def process(self) -> str:
"""Perform process operation.
Returns:
Operation result string
"""
return f"{self.options}"
class ConnectionPool1:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, context: dict[str, Any]) -> None:
"""Initialize ConnectionPool1.
Args:
context: Configuration dict[str, Any]
"""
self.context = context
def validate(self, parameters: bool) -> bool:
"""Perform validate operation.
Args:
parameters: Input bool parameter
Returns:
Operation success status
"""
return True
def transform(self) -> str:
"""Perform transform operation.
Returns:
Operation result string
"""
return f"{self.context}"
