from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 2696 - 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(data: dict[str, Any], options: bool) -> bool:
"""Process data and options to produce result.
Args:
data: Input dict[str, Any] value
options: Additional bool parameter
Returns:
Processed bool result
"""
result = f"{data} - {options}"
return result # type: ignore[return-value]
class TaskExecutor0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, data: datetime) -> None:
"""Initialize TaskExecutor0.
Args:
data: Configuration datetime
"""
self.data = data
def setup(self, config: UUID) -> bool:
"""Perform setup operation.
Args:
config: Input UUID parameter
Returns:
Operation success status
"""
return True
def transform(self) -> str:
"""Perform transform operation.
Returns:
Operation result string
"""
return f"{self.data}"
def validate_input_1(context: bool, context: str) -> int:
"""Process context and context to produce result.
Args:
context: Input bool value
context: Additional str parameter
Returns:
Processed int result
"""
result = f"{context} - {context}"
return result # type: ignore[return-value]
def validate_input_2(options: int, options: int) -> int:
"""Process options and options to produce result.
Args:
options: Input int value
options: Additional int parameter
Returns:
Processed int result
"""
result = f"{options} - {options}"
return result # type: ignore[return-value]
class FileHandler1:
"""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 FileHandler1.
Args:
context: Configuration dict[str, Any]
"""
self.context = context
def process(self, options: dict[str, Any]) -> bool:
"""Perform process operation.
Args:
options: Input dict[str, Any] parameter
Returns:
Operation success status
"""
return True
def serialize(self) -> str:
"""Perform serialize operation.
Returns:
Operation result string
"""
return f"{self.context}"
