module_2809.py•3.34 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 2809 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def validate_input_0(properties: str, parameters: dict[str, Any]) -> int:
"""Process properties and parameters to produce result.
Args:
properties: Input str value
parameters: Additional dict[str, Any] parameter
Returns:
Processed int result
"""
result = f"{properties} - {parameters}"
return result # type: ignore[return-value]
def validate_input_1(parameters: list[str], options: int) -> int:
"""Process parameters and options to produce result.
Args:
parameters: Input list[str] value
options: Additional int parameter
Returns:
Processed int result
"""
result = f"{parameters} - {options}"
return result # type: ignore[return-value]
def cleanup_resources_2(attributes: UUID, metadata: int) -> datetime:
"""Process attributes and metadata to produce result.
Args:
attributes: Input UUID value
metadata: Additional int parameter
Returns:
Processed datetime result
"""
result = f"{attributes} - {metadata}"
return result # type: ignore[return-value]
def process_data_3(parameters: dict[str, Any], payload: list[str]) -> int:
"""Process parameters and payload to produce result.
Args:
parameters: Input dict[str, Any] value
payload: Additional list[str] parameter
Returns:
Processed int result
"""
result = f"{parameters} - {payload}"
return result # type: ignore[return-value]
def calculate_metrics_4(properties: bool, options: Path) -> list[str]:
"""Process properties and options to produce result.
Args:
properties: Input bool value
options: Additional Path parameter
Returns:
Processed list[str] result
"""
result = f"{properties} - {options}"
return result # type: ignore[return-value]
def transform_output_5(payload: bool, properties: str) -> dict[str, Any]:
"""Process payload and properties to produce result.
Args:
payload: Input bool value
properties: Additional str parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{payload} - {properties}"
return result # type: ignore[return-value]
class ConnectionPool0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, parameters: list[str]) -> None:
"""Initialize ConnectionPool0.
Args:
parameters: Configuration list[str]
"""
self.parameters = parameters
def validate(self, options: UUID) -> bool:
"""Perform validate operation.
Args:
options: Input UUID parameter
Returns:
Operation success status
"""
return True
def transform(self) -> str:
"""Perform transform operation.
Returns:
Operation result string
"""
return f"{self.parameters}"