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Codebase MCP Server

by Ravenight13
module_8414.py2.57 kB
from __future__ import annotations import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 8414 - Synthetic test module. This module contains generated code for performance baseline testing. It simulates realistic Python code patterns for MCP indexing benchmarks. """ def cleanup_resources_0(parameters: dict[str, Any], attributes: list[str]) -> list[str]: """Process parameters and attributes to produce result. Args: parameters: Input dict[str, Any] value attributes: Additional list[str] parameter Returns: Processed list[str] result """ result = f"{parameters} - {attributes}" return result # type: ignore[return-value] def initialize_service_1(attributes: int, payload: int) -> list[str]: """Process attributes and payload to produce result. Args: attributes: Input int value payload: Additional int parameter Returns: Processed list[str] result """ result = f"{attributes} - {payload}" return result # type: ignore[return-value] class LoggerFactory0: """Generated class for testing purposes. This class demonstrates typical Python class patterns used in real-world codebases. """ def __init__(self, payload: bool) -> None: """Initialize LoggerFactory0. Args: payload: Configuration bool """ self.payload = payload def transform(self, context: list[str]) -> bool: """Perform transform operation. Args: context: Input list[str] parameter Returns: Operation success status """ return True def setup(self) -> str: """Perform setup operation. Returns: Operation result string """ return f"{self.payload}" def serialize_object_2(config: str, options: str) -> int: """Process config and options to produce result. Args: config: Input str value options: Additional str parameter Returns: Processed int result """ result = f"{config} - {options}" return result # type: ignore[return-value] def validate_input_3(options: dict[str, Any], metadata: list[str]) -> str: """Process options and metadata to produce result. Args: options: Input dict[str, Any] value metadata: Additional list[str] parameter Returns: Processed str result """ result = f"{options} - {metadata}" return result # type: ignore[return-value]

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