Source code for gluonts.dataset

# Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License").
# You may not use this file except in compliance with the License.
# A copy of the License is located at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# or in the "license" file accompanying this file. This file is distributed
# on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either
# express or implied. See the License for the specific language governing
# permissions and limitations under the License.

from dataclasses import dataclass
from pathlib import Path
from typing import Any, Dict, Iterator, List, Optional

from typing_extensions import Protocol, runtime_checkable

from gluonts.itertools import roundrobin

# Dictionary used for data flowing through the transformations.
DataEntry = Dict[str, Any]
DataBatch = Dict[str, Any]


[docs]@runtime_checkable class Dataset(Protocol): def __iter__(self) -> Iterator[DataEntry]: raise NotImplementedError def __len__(self) -> int: raise NotImplementedError
[docs]@dataclass class DatasetCollection: """ Flattened access to a collection of datasets. """ datasets: List[Dataset] interleave: bool = False
[docs] def iter_sequential(self): for dataset in self.datasets: yield from dataset
[docs] def iter_interleaved(self): yield from roundrobin(*self.datasets)
def __iter__(self): if self.interleave: yield from self.iter_interleaved() else: yield from self.iter_sequential() def __len__(self): return sum(map(len, self.datasets))
[docs]class DatasetWriter:
[docs] def write_to_file(self, dataset: Dataset, path: Path) -> None: raise NotImplementedError
[docs] def write_to_folder( self, dataset: Dataset, folder: Path, name: Optional[str] = None ) -> None: raise NotImplementedError