rly

rly

import glob
import h5py
import argparse
from typing import Union


def replace_namespace(_: str, h5obj: Union[h5py.Dataset, h5py.Group]):
    # change the attribute "namespace" from value "hdmf-experimental" to "hdmf-common"
    # for all DynamicTableRegion and VectorData neurodata types from ndx-photometry.
    if h5obj.attrs.get("namespace") == "hdmf-experimental":

rly

rly

rly

rly

rly

rly

import glob
import h5py
import numpy as np
import argparse
import pynwb


STR_DTYPE = h5py.special_dtype(vlen=str)

rly

rly

from pynwb import NWBHDF5IO, NWBFile


def get_neurodata_type_objs_io(io: NWBHDF5IO, neurodata_type: str, namespace: str):
    """Return all PyNWB objects in the file that have a neurodata type from a namespace.

    This works regardless of whether the extension was imported earlier in the python execution.

    All objects that are instances of the class associated with the given neurodata_type in the
    given namespace will be returned. This includes objects that are instances of a subclass.