from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 6072 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def initialize_service_0(options: datetime, attributes: list[str]) -> dict[str, Any]:
"""Process options and attributes to produce result.
Args:
options: Input datetime value
attributes: Additional list[str] parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{options} - {attributes}"
return result # type: ignore[return-value]
def initialize_service_1(payload: dict[str, Any], options: Path) -> datetime:
"""Process payload and options to produce result.
Args:
payload: Input dict[str, Any] value
options: Additional Path parameter
Returns:
Processed datetime result
"""
result = f"{payload} - {options}"
return result # type: ignore[return-value]
class CacheManager0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, attributes: int) -> None:
"""Initialize CacheManager0.
Args:
attributes: Configuration int
"""
self.attributes = attributes
def deserialize(self, config: datetime) -> bool:
"""Perform deserialize operation.
Args:
config: Input datetime parameter
Returns:
Operation success status
"""
return True
def process(self) -> str:
"""Perform process operation.
Returns:
Operation result string
"""
return f"{self.attributes}"
def validate_input_2(attributes: dict[str, Any], attributes: UUID) -> UUID:
"""Process attributes and attributes to produce result.
Args:
attributes: Input dict[str, Any] value
attributes: Additional UUID parameter
Returns:
Processed UUID result
"""
result = f"{attributes} - {attributes}"
return result # type: ignore[return-value]
class LoggerFactory1:
"""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 LoggerFactory1.
Args:
properties: Configuration dict[str, Any]
"""
self.properties = properties
def transform(self, payload: int) -> bool:
"""Perform transform operation.
Args:
payload: Input int parameter
Returns:
Operation success status
"""
return True
def transform(self) -> str:
"""Perform transform operation.
Returns:
Operation result string
"""
return f"{self.properties}"
