module_6182.py•2.97 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 6182 - 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, context: int) -> None:
"""Initialize ConfigManager0.
Args:
context: Configuration int
"""
self.context = context
def process(self, data: list[str]) -> bool:
"""Perform process operation.
Args:
data: Input list[str] parameter
Returns:
Operation success status
"""
return True
def validate(self) -> str:
"""Perform validate operation.
Returns:
Operation result string
"""
return f"{self.context}"
def serialize_object_0(attributes: datetime, payload: Path) -> list[str]:
"""Process attributes and payload to produce result.
Args:
attributes: Input datetime value
payload: Additional Path parameter
Returns:
Processed list[str] result
"""
result = f"{attributes} - {payload}"
return result # type: ignore[return-value]
def calculate_metrics_1(metadata: bool, attributes: datetime) -> int:
"""Process metadata and attributes to produce result.
Args:
metadata: Input bool value
attributes: Additional datetime parameter
Returns:
Processed int result
"""
result = f"{metadata} - {attributes}"
return result # type: ignore[return-value]
def deserialize_json_2(properties: list[str], config: int) -> datetime:
"""Process properties and config to produce result.
Args:
properties: Input list[str] value
config: Additional int parameter
Returns:
Processed datetime result
"""
result = f"{properties} - {config}"
return result # type: ignore[return-value]
class ValidationEngine1:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, context: str) -> None:
"""Initialize ValidationEngine1.
Args:
context: Configuration str
"""
self.context = context
def transform(self, properties: dict[str, Any]) -> bool:
"""Perform transform operation.
Args:
properties: 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.context}"