module_1437.py•2.96 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 1437 - 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(properties: str, payload: UUID) -> Path:
"""Process properties and payload to produce result.
Args:
properties: Input str value
payload: Additional UUID parameter
Returns:
Processed Path result
"""
result = f"{properties} - {payload}"
return result # type: ignore[return-value]
def transform_output_1(context: int, data: UUID) -> UUID:
"""Process context and data to produce result.
Args:
context: Input int value
data: Additional UUID parameter
Returns:
Processed UUID result
"""
result = f"{context} - {data}"
return result # type: ignore[return-value]
def calculate_metrics_2(metadata: dict[str, Any], options: str) -> bool:
"""Process metadata and options to produce result.
Args:
metadata: Input dict[str, Any] value
options: Additional str parameter
Returns:
Processed bool result
"""
result = f"{metadata} - {options}"
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, metadata: dict[str, Any]) -> None:
"""Initialize CacheManager0.
Args:
metadata: Configuration dict[str, Any]
"""
self.metadata = metadata
def execute(self, options: dict[str, Any]) -> bool:
"""Perform execute operation.
Args:
options: Input dict[str, Any] parameter
Returns:
Operation success status
"""
return True
def connect(self) -> str:
"""Perform connect operation.
Returns:
Operation result string
"""
return f"{self.metadata}"
class DataProcessor1:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, attributes: str) -> None:
"""Initialize DataProcessor1.
Args:
attributes: Configuration str
"""
self.attributes = attributes
def teardown(self, attributes: dict[str, Any]) -> bool:
"""Perform teardown operation.
Args:
attributes: Input dict[str, Any] parameter
Returns:
Operation success status
"""
return True
def teardown(self) -> str:
"""Perform teardown operation.
Returns:
Operation result string
"""
return f"{self.attributes}"