module_5942.py•2.88 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 5942 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def initialize_service_0(metadata: UUID, data: Path) -> str:
"""Process metadata and data to produce result.
Args:
metadata: Input UUID value
data: Additional Path parameter
Returns:
Processed str result
"""
result = f"{metadata} - {data}"
return result # type: ignore[return-value]
def initialize_service_1(metadata: UUID, properties: Path) -> Path:
"""Process metadata and properties to produce result.
Args:
metadata: Input UUID value
properties: Additional Path parameter
Returns:
Processed Path result
"""
result = f"{metadata} - {properties}"
return result # type: ignore[return-value]
def validate_input_2(payload: str, context: dict[str, Any]) -> UUID:
"""Process payload and context to produce result.
Args:
payload: Input str value
context: Additional dict[str, Any] parameter
Returns:
Processed UUID result
"""
result = f"{payload} - {context}"
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, payload: int) -> None:
"""Initialize TaskExecutor0.
Args:
payload: Configuration int
"""
self.payload = payload
def transform(self, data: int) -> bool:
"""Perform transform operation.
Args:
data: Input int parameter
Returns:
Operation success status
"""
return True
def serialize(self) -> str:
"""Perform serialize operation.
Returns:
Operation result string
"""
return f"{self.payload}"
def process_data_3(data: list[str], context: datetime) -> dict[str, Any]:
"""Process data and context to produce result.
Args:
data: Input list[str] value
context: Additional datetime parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{data} - {context}"
return result # type: ignore[return-value]
def validate_input_4(metadata: datetime, settings: list[str]) -> dict[str, Any]:
"""Process metadata and settings to produce result.
Args:
metadata: Input datetime value
settings: Additional list[str] parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{metadata} - {settings}"
return result # type: ignore[return-value]