module_0192.py•2.67 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 0192 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def process_data_0(properties: UUID, parameters: dict[str, Any]) -> list[str]:
"""Process properties and parameters to produce result.
Args:
properties: Input UUID value
parameters: Additional dict[str, Any] parameter
Returns:
Processed list[str] result
"""
result = f"{properties} - {parameters}"
return result # type: ignore[return-value]
def calculate_metrics_1(properties: list[str], config: datetime) -> datetime:
"""Process properties and config to produce result.
Args:
properties: Input list[str] value
config: Additional datetime parameter
Returns:
Processed datetime result
"""
result = f"{properties} - {config}"
return result # type: ignore[return-value]
class DataProcessor0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, payload: str) -> None:
"""Initialize DataProcessor0.
Args:
payload: Configuration str
"""
self.payload = payload
def serialize(self, payload: datetime) -> bool:
"""Perform serialize operation.
Args:
payload: Input datetime parameter
Returns:
Operation success status
"""
return True
def serialize(self) -> str:
"""Perform serialize operation.
Returns:
Operation result string
"""
return f"{self.payload}"
def validate_input_2(properties: dict[str, Any], payload: list[str]) -> dict[str, Any]:
"""Process properties and payload to produce result.
Args:
properties: Input dict[str, Any] value
payload: Additional list[str] parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{properties} - {payload}"
return result # type: ignore[return-value]
def transform_output_3(properties: str, parameters: list[str]) -> dict[str, Any]:
"""Process properties and parameters to produce result.
Args:
properties: Input str value
parameters: Additional list[str] parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{properties} - {parameters}"
return result # type: ignore[return-value]