Source code for cxflow.datasets.downloadable_dataset

This module contains :py:class:`cxflow.datasets.DownloadableDataset` which can be used as a base class for various
downloadable datasets.

from abc import abstractmethod, ABCMeta
from typing import Iterable

from .base_dataset import BaseDataset
from ..utils import maybe_download_and_extract

class DownloadableDataset(BaseDataset, metaclass=ABCMeta):
    DownloadableDataset is dataset base class implementing routines for downloading and extracting data via
    ``cxflow dataset download`` command.

    The typical use-case is that ``data_root``, ``url_root`` and ``download_filenames`` variables are passed to the
    dataset constructor.
    Alternatively, these properties might be directly implemented in their corresponding methods.

[docs] def _configure_dataset(self, data_root: str=None, download_urls: Iterable[str]=None, **kwargs) -> None: """ Save the passed values and use them as a default property implementation. :param data_root: directory to which the files will be downloaded :param download_urls: list of URLs to be downloaded """ self._data_root = data_root self._download_urls = download_urls
@property def data_root(self) -> str: """Path to the data root directory.""" if self._data_root is None: raise ValueError('`data_root` is not specified.') return self._data_root @property def download_urls(self) -> Iterable[str]: """A list of URLs to be downloaded.""" if self._download_urls is None: raise ValueError('`download_urls` is not specified.') return self._download_urls
[docs] def download(self) -> None: """ Maybe download and extract the extra files required. If not already downloaded, download all files specified by :py:meth:`download_urls`. Then, extract the downloaded files to :py:meth:`data_root`. .. code-block:: bash :caption: cxflow CLI example cxflow dataset download <path-to-config> """ for url in self.download_urls: maybe_download_and_extract(self.data_root, url)