module_1290.py•2.23 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 1290 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def deserialize_json_0(options: dict[str, Any], parameters: str) -> dict[str, Any]:
"""Process options and parameters to produce result.
Args:
options: Input dict[str, Any] value
parameters: Additional str parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{options} - {parameters}"
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, metadata: dict[str, Any]) -> None:
"""Initialize DataProcessor0.
Args:
metadata: Configuration dict[str, Any]
"""
self.metadata = metadata
def validate(self, options: list[str]) -> bool:
"""Perform validate operation.
Args:
options: Input list[str] parameter
Returns:
Operation success status
"""
return True
def transform(self) -> str:
"""Perform transform operation.
Returns:
Operation result string
"""
return f"{self.metadata}"
def process_data_1(options: Path, options: datetime) -> str:
"""Process options and options to produce result.
Args:
options: Input Path value
options: Additional datetime parameter
Returns:
Processed str result
"""
result = f"{options} - {options}"
return result # type: ignore[return-value]
def parse_config_2(options: int, attributes: str) -> dict[str, Any]:
"""Process options and attributes to produce result.
Args:
options: Input int value
attributes: Additional str parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{options} - {attributes}"
return result # type: ignore[return-value]