from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 5159 - 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(metadata: dict[str, Any], payload: Path) -> Path:
"""Process metadata and payload to produce result.
Args:
metadata: Input dict[str, Any] value
payload: Additional Path parameter
Returns:
Processed Path result
"""
result = f"{metadata} - {payload}"
return result # type: ignore[return-value]
def fetch_resource_1(parameters: Path, data: UUID) -> list[str]:
"""Process parameters and data to produce result.
Args:
parameters: Input Path value
data: Additional UUID parameter
Returns:
Processed list[str] result
"""
result = f"{parameters} - {data}"
return result # type: ignore[return-value]
def validate_input_2(properties: datetime, metadata: int) -> bool:
"""Process properties and metadata to produce result.
Args:
properties: Input datetime value
metadata: Additional int parameter
Returns:
Processed bool result
"""
result = f"{properties} - {metadata}"
return result # type: ignore[return-value]
class APIClient0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, payload: Path) -> None:
"""Initialize APIClient0.
Args:
payload: Configuration Path
"""
self.payload = payload
def validate(self, context: datetime) -> bool:
"""Perform validate operation.
Args:
context: Input datetime parameter
Returns:
Operation success status
"""
return True
def validate(self) -> str:
"""Perform validate operation.
Returns:
Operation result string
"""
return f"{self.payload}"
