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# In dandiset 000776, the data is invalid against the spec. See https://github.com/dandi/helpdesk/issues/126
# To fix the files in dandiset 000776, run this script on dandihub. This script performs the following data surgery
# steps:
#
# 1. Replace the "order_optical_channels" link from all `ImagingVolume` objects with a subgroup
#    that is the link target (at /processing/NeuroPAL/OpticalChannelRefs)
# 2. Add the "ndx-multichannel-volume" version 0.1.12 schema
# 3. Remove the "ndx-multichannel-volume" version 0.1.9 schema
# 4. Remove the "order_optical_channels" group from all "MultiChannelVolume" objects
# 5. Remove the "OpticalChannelRefs" group within "/processing"

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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":

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