NEDAS.core.dataset module

class NEDAS.core.dataset.Dataset(context: Context | None = None, config_file: str | None = None, parse_args: bool = False, **kwargs)

Bases: ABC

Dataset class (template for specific dataset sources)

variables: dict[Annotated[str, 'variable name'], VarDesc] = {}

obs_operator: dict[Annotated[str, 'variable name'], Callable] = {}

memory: dict = {}

dataset_name: str

property c: Context

parse_kwargs(kwargs: dict[str, Any]) → dict[str, Any]

Parse the input kwargs to pinpoint a specific file/variable…

get_mstr(member)

get_tstr(time)

generate_obs_network(**kwargs) → dict[str, ndarray]

Generate a random observing network for use in synthetic observation experiments.

Parameters:

**kwargs

read_obs(**kwargs) → dict[str, ndarray]

abstractmethod read_obs_from_file(**kwargs) → dict[str, ndarray]

Return observation sequence matching the given kwargs

read_obs_from_memory(**kwargs) → dict[str, ndarray]

write_obs(seq: dict, **kwargs) → None

write_obs_to_file(seq: dict, **kwargs)

write_obs_to_memory(seq: dict, **kwargs)

save_memory(tag: str, time: datetime | None = None, path: str | None = None) → None

load_memory(tag: str, time: datetime | None = None, path: str | None = None) → None