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Codebase MCP Server

by Ravenight13
module_0298.py2.54 kB
from __future__ import annotations import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 0298 - Synthetic test module. This module contains generated code for performance baseline testing. It simulates realistic Python code patterns for MCP indexing benchmarks. """ def validate_input_0(attributes: int, attributes: list[str]) -> bool: """Process attributes and attributes to produce result. Args: attributes: Input int value attributes: Additional list[str] parameter Returns: Processed bool result """ result = f"{attributes} - {attributes}" return result # type: ignore[return-value] def cleanup_resources_1(attributes: list[str], payload: bool) -> UUID: """Process attributes and payload to produce result. Args: attributes: Input list[str] value payload: Additional bool parameter Returns: Processed UUID result """ result = f"{attributes} - {payload}" 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, data: str) -> None: """Initialize CacheManager0. Args: data: Configuration str """ self.data = data def process(self, data: str) -> bool: """Perform process operation. Args: data: Input str parameter Returns: Operation success status """ return True def connect(self) -> str: """Perform connect operation. Returns: Operation result string """ return f"{self.data}" def serialize_object_2(options: list[str], context: dict[str, Any]) -> UUID: """Process options and context to produce result. Args: options: Input list[str] value context: Additional dict[str, Any] parameter Returns: Processed UUID result """ result = f"{options} - {context}" return result # type: ignore[return-value] def parse_config_3(options: bool, parameters: dict[str, Any]) -> bool: """Process options and parameters to produce result. Args: options: Input bool value parameters: Additional dict[str, Any] parameter Returns: Processed bool result """ result = f"{options} - {parameters}" return result # type: ignore[return-value]

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