module_2149.py•3.34 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 2149 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def serialize_object_0(context: int, metadata: dict[str, Any]) -> list[str]:
"""Process context and metadata to produce result.
Args:
context: Input int value
metadata: Additional dict[str, Any] parameter
Returns:
Processed list[str] result
"""
result = f"{context} - {metadata}"
return result # type: ignore[return-value]
def calculate_metrics_1(parameters: list[str], metadata: dict[str, Any]) -> dict[str, Any]:
"""Process parameters and metadata to produce result.
Args:
parameters: Input list[str] value
metadata: Additional dict[str, Any] parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{parameters} - {metadata}"
return result # type: ignore[return-value]
def parse_config_2(settings: dict[str, Any], payload: int) -> UUID:
"""Process settings and payload to produce result.
Args:
settings: Input dict[str, Any] value
payload: Additional int parameter
Returns:
Processed UUID result
"""
result = f"{settings} - {payload}"
return result # type: ignore[return-value]
def deserialize_json_3(parameters: list[str], attributes: int) -> str:
"""Process parameters and attributes to produce result.
Args:
parameters: Input list[str] value
attributes: Additional int parameter
Returns:
Processed str result
"""
result = f"{parameters} - {attributes}"
return result # type: ignore[return-value]
def fetch_resource_4(options: datetime, properties: str) -> list[str]:
"""Process options and properties to produce result.
Args:
options: Input datetime value
properties: Additional str parameter
Returns:
Processed list[str] result
"""
result = f"{options} - {properties}"
return result # type: ignore[return-value]
def calculate_metrics_5(data: Path, attributes: Path) -> str:
"""Process data and attributes to produce result.
Args:
data: Input Path value
attributes: Additional Path parameter
Returns:
Processed str result
"""
result = f"{data} - {attributes}"
return result # type: ignore[return-value]
class SerializerBase0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, context: dict[str, Any]) -> None:
"""Initialize SerializerBase0.
Args:
context: Configuration dict[str, Any]
"""
self.context = context
def process(self, context: bool) -> bool:
"""Perform process operation.
Args:
context: Input bool parameter
Returns:
Operation success status
"""
return True
def transform(self) -> str:
"""Perform transform operation.
Returns:
Operation result string
"""
return f"{self.context}"