Source code for netket.logging.base

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# Licensed under the Apache License, Version 2.0 (the "License");
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#    http://www.apache.org/licenses/LICENSE-2.0
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import abc

from typing import Any, Optional


from netket.vqs import VariationalState


[docs] class AbstractLog(abc.ABC): """ Abstract base class detailing the interface that loggers must implement in order to work with netket drivers. It can be passed with keyword argument `out` to Monte Carlo drivers in order to serialize the output data of the simulation. """
[docs] @abc.abstractmethod def __call__( self, step: int, item: dict[str, Any], variational_state: Optional[VariationalState] = None, ): """ Logs at a given integer step a dictionary of data, optionally specifying a variational state to encode additional data. Args: step: monotonically increasing integer representing the row in the database corresponding to this log entry; item: Any dictionary of data to be logged; variational_state: optional variational state from which additional data might be extracted. """
[docs] @abc.abstractmethod def flush(self, variational_state: Optional[VariationalState] = None): """ Flushes the data that is stored internally to disk/network. Args: variational_state: optional variational state from which additional data might be extracted. """