module_2338.py•2.9 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 2338 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def fetch_resource_0(context: datetime, config: bool) -> str:
"""Process context and config to produce result.
Args:
context: Input datetime value
config: Additional bool parameter
Returns:
Processed str result
"""
result = f"{context} - {config}"
return result # type: ignore[return-value]
def cleanup_resources_1(settings: UUID, metadata: int) -> int:
"""Process settings and metadata to produce result.
Args:
settings: Input UUID value
metadata: Additional int parameter
Returns:
Processed int result
"""
result = f"{settings} - {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: datetime) -> None:
"""Initialize SerializerBase0.
Args:
options: Configuration datetime
"""
self.options = options
def transform(self, metadata: Path) -> bool:
"""Perform transform operation.
Args:
metadata: Input Path parameter
Returns:
Operation success status
"""
return True
def process(self) -> str:
"""Perform process operation.
Returns:
Operation result string
"""
return f"{self.options}"
def calculate_metrics_2(data: datetime, config: UUID) -> str:
"""Process data and config to produce result.
Args:
data: Input datetime value
config: Additional UUID parameter
Returns:
Processed str result
"""
result = f"{data} - {config}"
return result # type: ignore[return-value]
class CacheManager1:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, options: int) -> None:
"""Initialize CacheManager1.
Args:
options: Configuration int
"""
self.options = options
def teardown(self, payload: dict[str, Any]) -> bool:
"""Perform teardown operation.
Args:
payload: Input dict[str, Any] parameter
Returns:
Operation success status
"""
return True
def transform(self) -> str:
"""Perform transform operation.
Returns:
Operation result string
"""
return f"{self.options}"