module_2325.py•2.94 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 2325 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def parse_config_0(context: datetime, options: datetime) -> bool:
"""Process context and options to produce result.
Args:
context: Input datetime value
options: Additional datetime parameter
Returns:
Processed bool result
"""
result = f"{context} - {options}"
return result # type: ignore[return-value]
def fetch_resource_1(options: Path, attributes: datetime) -> bool:
"""Process options and attributes to produce result.
Args:
options: Input Path value
attributes: Additional datetime parameter
Returns:
Processed bool result
"""
result = f"{options} - {attributes}"
return result # type: ignore[return-value]
def deserialize_json_2(options: UUID, attributes: str) -> dict[str, Any]:
"""Process options and attributes to produce result.
Args:
options: Input UUID value
attributes: Additional str parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{options} - {attributes}"
return result # type: ignore[return-value]
def process_data_3(payload: list[str], properties: list[str]) -> str:
"""Process payload and properties to produce result.
Args:
payload: Input list[str] value
properties: Additional list[str] parameter
Returns:
Processed str result
"""
result = f"{payload} - {properties}"
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, settings: Path) -> None:
"""Initialize DataProcessor0.
Args:
settings: Configuration Path
"""
self.settings = settings
def serialize(self, context: list[str]) -> bool:
"""Perform serialize operation.
Args:
context: Input list[str] parameter
Returns:
Operation success status
"""
return True
def serialize(self) -> str:
"""Perform serialize operation.
Returns:
Operation result string
"""
return f"{self.settings}"
def calculate_metrics_4(metadata: dict[str, Any], config: datetime) -> datetime:
"""Process metadata and config to produce result.
Args:
metadata: Input dict[str, Any] value
config: Additional datetime parameter
Returns:
Processed datetime result
"""
result = f"{metadata} - {config}"
return result # type: ignore[return-value]