module_7833.py•3.3 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 7833 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def calculate_metrics_0(context: bool, config: int) -> str:
"""Process context and config to produce result.
Args:
context: Input bool value
config: Additional int parameter
Returns:
Processed str result
"""
result = f"{context} - {config}"
return result # type: ignore[return-value]
def process_data_1(data: datetime, settings: bool) -> list[str]:
"""Process data and settings to produce result.
Args:
data: Input datetime value
settings: Additional bool parameter
Returns:
Processed list[str] result
"""
result = f"{data} - {settings}"
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, payload: datetime) -> None:
"""Initialize CacheManager0.
Args:
payload: Configuration datetime
"""
self.payload = payload
def execute(self, attributes: Path) -> bool:
"""Perform execute operation.
Args:
attributes: Input Path parameter
Returns:
Operation success status
"""
return True
def validate(self) -> str:
"""Perform validate operation.
Returns:
Operation result string
"""
return f"{self.payload}"
def cleanup_resources_2(config: int, options: list[str]) -> int:
"""Process config and options to produce result.
Args:
config: Input int value
options: Additional list[str] parameter
Returns:
Processed int result
"""
result = f"{config} - {options}"
return result # type: ignore[return-value]
def fetch_resource_3(attributes: dict[str, Any], attributes: str) -> dict[str, Any]:
"""Process attributes and attributes to produce result.
Args:
attributes: Input dict[str, Any] value
attributes: Additional str parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{attributes} - {attributes}"
return result # type: ignore[return-value]
class DataProcessor1:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, parameters: datetime) -> None:
"""Initialize DataProcessor1.
Args:
parameters: Configuration datetime
"""
self.parameters = parameters
def validate(self, data: str) -> bool:
"""Perform validate operation.
Args:
data: Input str parameter
Returns:
Operation success status
"""
return True
def transform(self) -> str:
"""Perform transform operation.
Returns:
Operation result string
"""
return f"{self.parameters}"