module_0415.py•2.6 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 0415 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
class LoggerFactory0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, settings: str) -> None:
"""Initialize LoggerFactory0.
Args:
settings: Configuration str
"""
self.settings = settings
def connect(self, metadata: bool) -> bool:
"""Perform connect operation.
Args:
metadata: Input bool parameter
Returns:
Operation success status
"""
return True
def process(self) -> str:
"""Perform process operation.
Returns:
Operation result string
"""
return f"{self.settings}"
def fetch_resource_0(attributes: dict[str, Any], options: datetime) -> datetime:
"""Process attributes and options to produce result.
Args:
attributes: Input dict[str, Any] value
options: Additional datetime parameter
Returns:
Processed datetime result
"""
result = f"{attributes} - {options}"
return result # type: ignore[return-value]
def initialize_service_1(settings: str, properties: int) -> Path:
"""Process settings and properties to produce result.
Args:
settings: Input str value
properties: Additional int parameter
Returns:
Processed Path result
"""
result = f"{settings} - {properties}"
return result # type: ignore[return-value]
def validate_input_2(config: list[str], properties: dict[str, Any]) -> datetime:
"""Process config and properties to produce result.
Args:
config: Input list[str] value
properties: Additional dict[str, Any] parameter
Returns:
Processed datetime result
"""
result = f"{config} - {properties}"
return result # type: ignore[return-value]
def initialize_service_3(context: Path, context: dict[str, Any]) -> list[str]:
"""Process context and context to produce result.
Args:
context: Input Path value
context: Additional dict[str, Any] parameter
Returns:
Processed list[str] result
"""
result = f"{context} - {context}"
return result # type: ignore[return-value]