def setUp(self):
self.dset = self.getDataset()
self.wrapper = HDMFDataset(self.dset)
from functools import partial
from hdmf.utils import call_docval_func, docval, popargs, getargs
from hdmf.backends.hdf5 import HDF5IO as _HDF5IO
from hdmf.build import BuildManager, TypeMap, GroupBuilder, LinkBuilder, DatasetBuilder, ReferenceBuilder
from hdmf.query import HDMFDataset
from hdmf.query import Array as HDMFArray
from hdmf.backends.hdf5.h5_utils import BuilderH5ReferenceDataset, BuilderH5TableDataset, H5SpecReader
from hdmf.backends.warnings import BrokenLinkWarning
from hdmf.backends.io import UnsupportedOperation
from hdmf.spec import NamespaceCatalog
from pynwb import get_manager, get_type_map
import os
from warnings import warn
import logging
HDMFDataset.register(zarr.Array)
from .hdf5zarr import SYMLINK
ROOT_NAME = 'root'
SPEC_LOC_ATTR = '.specloc'
class ZarrSpecReader(H5SpecReader):
@docval({'name': 'group', 'type': zarr.Group, 'doc': 'the zarr Group to read specs from'})
def __init__(self, **kwargs):
group = getargs('group', kwargs)
self._H5SpecReader__group = group
super_kwargs = {'source': "%s:%s" % (os.path.abspath(group.file.name), group.name)}
call_docval_func(super(H5SpecReader, self).__init__, super_kwargs)
self._H5SpecReader__cache = None
def setUp(self):
self.m = HDMFDataset(self.getM())
self.n = HDMFDataset(self.getN())