code: def values(
      cls,
      dataset,
      dim,
      expanded=True,
      flat=True,
      compute=True,
      keep_index=False,
  ):
      dim = dataset.get_dimension(dim, strict=True)
      packed = cls.packed(dataset) and dim in dataset.vdims
      if packed:
          data = dataset.data.data[..., dataset.vdims.index(dim)]
      else:
          data = dataset.data[dim.name]
          if not keep_index:
              data = data.data
      irregular = (
          cls.irregular(dataset, dim) if dim in dataset.kdims else False
      )
      irregular_kdims = [
          d for d in dataset.kdims if cls.irregular(dataset, d)
      ]
      if irregular_kdims:
          virtual_coords = list(
              dataset.data[irregular_kdims[0].name].coords.dims
          )
      else:
          virtual_coords = []
      if dim in dataset.vdims or irregular:
          if packed:
              data_coords = list(dataset.data.dims)[:-1]
          else:
              data_coords = list(dataset.data[dim.name].dims)
          da = dask_array_module()
          if compute and da and isinstance(data, da.Array):
              data = data.compute()
          if is_cupy(data):
              import cupy
  
              data = cupy.asnumpy(data)
          if not keep_index:
              data = cls.canonicalize(
                  dataset,
                  data,
                  data_coords=data_coords,
                  virtual_coords=virtual_coords,
              )
          return data.T.flatten() if flat and not keep_index else data
      elif expanded:
          data = cls.coords(dataset, dim.name, expanded=True)
          return data.T.flatten() if flat else data
      else:
          if keep_index:
              return dataset.data[dim.name]
          return cls.coords(dataset, dim.name, ordered=True)
  
imports: import sys
  import types
  import numpy
  import pandas
  from ..None import util
  from ..dimension import Dimension, asdim, dimension_name
  from ..element import Element
  from ..ndmapping import NdMapping, item_check, sorted_context
  from .grid import GridInterface
  from .interface import DataError, Interface
  from .util import dask_array_module, finite_range
label_desc: Use image node_id 14 for calling the XArrayInterface obj's underlying member method code with example usage: obj.values(cls, dataset, dim, expanded, flat, compute, keep_index) and returns: unknown, unknown, cls, dataset