code: def execute(cls, ctx, op):
      import zarr
  
      fs = get_fs(op.path, None)
      fs_map = FSMap(op.path, fs)
  
      group = zarr.Group(store=fs_map, path=op.group)
      array = group[op.dataset]
  
      to_store = ctx[op.inputs[0].key]
      axis_offsets = op.axis_offsets
      shape = to_store.shape
  
      array[
          tuple(
              slice(offset, offset + size)
              for offset, size in zip(axis_offsets, shape)
          )
      ] = to_store
  
      ctx[op.outputs[0].key] = np.empty(
          (0,) * to_store.ndim, dtype=to_store.dtype
      )
  
imports: import pickle
  from typing import Dict
  import numpy
  from ...None import opcodes
  from ...serialization.serializables import FieldTypes, KeyField, StringField, BytesField, TupleField
  from ...lib.filesystem import get_fs, FSMap
  from ...utils import has_unknown_shape
  from .core import TensorDataStore
label_desc: Use image node_id 9 for calling the TensorToZarrDataStore obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types