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| from abc import ABC, abstractmethod | |
| from typing import Dict, Any | |
| class BaseLab(ABC): | |
| """ | |
| Abstract base class for all laboratories in QuLabInfinite. | |
| This class defines the common interface that all specialized labs | |
| (e.g., MaterialsLab, ChemistryLaboratory, QuantumLabSimulator) must implement. | |
| This ensures a consistent API for initialization, configuration, | |
| and execution of simulations across the platform. | |
| """ | |
| def __init__(self, config: Dict[str, Any] = None): | |
| """ | |
| Initialize the laboratory with a given configuration. | |
| Args: | |
| config: A dictionary of configuration parameters. | |
| """ | |
| self.config = config or {} | |
| print(f"[info] Initializing {self.__class__.__name__}...") | |
| def run_experiment(self, experiment_spec: Dict[str, Any]) -> Dict[str, Any]: | |
| """ | |
| Run a specific experiment based on the provided specification. | |
| Args: | |
| experiment_spec: A dictionary defining the experiment to be run, | |
| including parameters and desired outputs. | |
| Returns: | |
| A dictionary containing the results of the experiment. | |
| """ | |
| pass | |
| def get_status(self) -> Dict[str, Any]: | |
| """ | |
| Get the current status of the laboratory. | |
| Returns: | |
| A dictionary containing status information, such as backend state, | |
| loaded data, and available capabilities. | |
| """ | |
| pass | |
| def get_capabilities(self) -> Dict[str, Any]: | |
| """ | |
| Get the capabilities of the laboratory. | |
| Returns: | |
| A dictionary describing the capabilities of the lab. | |
| """ | |
| return {"name": self.__class__.__name__, "capabilities": "N/A"} | |