module_7386.py•2.68 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 7386 - 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(metadata: dict[str, Any], settings: datetime) -> dict[str, Any]:
"""Process metadata and settings to produce result.
Args:
metadata: Input dict[str, Any] value
settings: Additional datetime parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{metadata} - {settings}"
return result # type: ignore[return-value]
class CacheManager0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, parameters: datetime) -> None:
"""Initialize CacheManager0.
Args:
parameters: Configuration datetime
"""
self.parameters = parameters
def execute(self, options: int) -> bool:
"""Perform execute operation.
Args:
options: Input int parameter
Returns:
Operation success status
"""
return True
def disconnect(self) -> str:
"""Perform disconnect operation.
Returns:
Operation result string
"""
return f"{self.parameters}"
class ValidationEngine1:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, config: UUID) -> None:
"""Initialize ValidationEngine1.
Args:
config: Configuration UUID
"""
self.config = config
def transform(self, properties: str) -> bool:
"""Perform transform operation.
Args:
properties: Input str parameter
Returns:
Operation success status
"""
return True
def setup(self) -> str:
"""Perform setup operation.
Returns:
Operation result string
"""
return f"{self.config}"
def transform_output_1(context: dict[str, Any], properties: dict[str, Any]) -> dict[str, Any]:
"""Process context and properties to produce result.
Args:
context: Input dict[str, Any] value
properties: Additional dict[str, Any] parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{context} - {properties}"
return result # type: ignore[return-value]